In [1]:
import or_gym
from or_gym.benchmarks.newsvendor.nv_benchmark import *
from or_gym.benchmarks.newsvendor.onv_benchmark import *
import matplotlib.pyplot as plt
# plt.style.use('c:/users/hd/.matplotlib/stylelib/orgym.py')
import pyomo.environ as pe
import pickle
Run backlog cases¶
In [ ]:
for per in [30,45,60]:
print("Period "+str(per))
for i in range(10):
print("Run "+str(i))
#create environments for 5 cases
seed_train = np.random.randint(1000)
seed_sim = np.random.randint(1000)
print("Seed for training "+str(seed_train))
print("Seed for simulation "+str(seed_sim))
env1_dfo=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_train,'periods':per})
env1_mip=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_train,'periods':per})
env1_mip_pi=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
env1_dfo_online=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
env1_mip_online=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
#run optimizations for backlog scenario
env1_dfo_results = optimize_nv_dfo(env1_dfo)
env1_mip_model, env1_mip_results = optimize_nv_mip(env1_mip,warmstart=True,
solver_kwargs={'TimeLimit':600,'MIPGap':0.00},
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt})
#DFO
#reset env to run simulation with new demand profile and with base stock levels found
env1_dfo=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_dfo.num_periods):
#take a step in the simulation using base stock policy
env1_dfo.step(action=env1_dfo.base_stock_action(z=env1_dfo_results.zopt))
#MIP
zopt = list(env1_mip_model.z.get_values().values()) #extract optimal base stock levels
#reset env to run simulation with new demand profile and with base stock levels found
env1_mip=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_mip.num_periods):
#take a step in the simulation using base stock policy
env1_mip.step(action=env1_mip.base_stock_action(z=zopt))
#MIP PI
env1_mip_pi_model, env1_mip_pi_results = optimize_nv_pi_mip(env1_mip_pi,warmstart=True,
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt,
'perfect_information':True})
#DFO ONLINE
_,_,env1_dfo_online_basestock = online_optimize_nv_dfo(env1_dfo_online)
#MIP ONLINE
_,_,env1_mip_online_basestock = online_optimize_nv_mip(env1_mip_online,
solver_kwargs={'TimeLimit':600,'MIPGap':0.01},
warmstart=True)
#PICKLE
NV_envs = {'DFO':env1_dfo,
'DFO zopt':env1_dfo_results.zopt,
'MIP':env1_mip,
'MIP zopt':list(env1_mip_model.z.get_values().values()),
'Oracle':env1_mip_pi,
'Oracle R':env1_mip_pi_model.R.get_values(),
'oDFO':env1_dfo_online,
'oDFO zopt':env1_dfo_online_basestock,
'oMIP':env1_mip_online,
'oMIP zopt':env1_mip_online_basestock}
file_env = open('NV_Backlog_'+str(per)+'_'+str(i)+'.obj','wb')
pickle.dump(NV_envs,file_env)
Period 30
Run 0
Seed for training 277
Seed for simulation 656
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.01242247e+00, 9.99552437e-01, 9.78713766e-01],
[-1.00000010e+00, 1.00000008e+00, 7.67495276e-08]])
fopt: 0.16361982717958024
fun: -0.16107402878997049
message: 'Optimization terminated successfully.'
nfev: 569
nit: 8
status: 0
success: True
x: array([343.98221291, 9.03068936, 5.02083329])
xopt: array([343., 10., 6.])
zopt: array([343., 353., 359.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6rz7skv1.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnwbjgzs8.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.16362
Presolve removed 455 rows and 285 columns
Presolve time: 0.01s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.504655e+00, 910 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50466 0 62 0.16362 1.50466 820% - 0s
0 0 1.49721 0 73 0.16362 1.49721 815% - 0s
0 0 1.49707 0 69 0.16362 1.49707 815% - 0s
0 0 1.40521 0 66 0.16362 1.40521 759% - 0s
0 0 1.40071 0 67 0.16362 1.40071 756% - 0s
0 0 1.39872 0 72 0.16362 1.39872 755% - 0s
0 0 1.39720 0 80 0.16362 1.39720 754% - 0s
0 0 1.39050 0 90 0.16362 1.39050 750% - 0s
0 0 1.38968 0 88 0.16362 1.38968 749% - 0s
0 0 1.38963 0 89 0.16362 1.38963 749% - 0s
0 0 1.38830 0 85 0.16362 1.38830 748% - 0s
0 0 1.38732 0 87 0.16362 1.38732 748% - 0s
0 0 1.38732 0 87 0.16362 1.38732 748% - 0s
0 0 1.38730 0 88 0.16362 1.38730 748% - 0s
0 0 1.38730 0 89 0.16362 1.38730 748% - 0s
0 0 1.38716 0 86 0.16362 1.38716 748% - 0s
0 0 1.38716 0 76 0.16362 1.38716 748% - 0s
0 2 1.38716 0 75 0.16362 1.38716 748% - 0s
H 2165 431 0.3807894 1.05765 178% 14.3 3s
* 2403 516 91 0.5193953 1.05026 102% 13.9 3s
* 3053 582 84 0.6179741 1.03076 66.8% 13.0 3s
* 3549 403 72 0.9214608 1.02129 10.8% 12.5 3s
* 3661 435 83 0.9239193 1.02049 10.5% 12.3 3s
* 3821 497 72 0.9246832 1.01624 9.90% 12.1 4s
* 3885 511 66 0.9249501 1.01409 9.64% 12.0 4s
* 4451 590 62 0.9299693 1.00529 8.10% 11.5 4s
* 4907 653 65 0.9300214 0.99575 7.07% 11.3 4s
* 5317 683 62 0.9318695 0.98729 5.95% 11.0 4s
5788 673 infeasible 51 0.93187 0.97607 4.74% 10.8 5s
* 6402 675 57 0.9322482 0.96864 3.90% 10.7 5s
* 7018 645 58 0.9323550 0.95921 2.88% 10.6 5s
* 7867 405 52 0.9324152 0.95055 1.94% 10.5 6s
* 8095 306 54 0.9330165 0.94612 1.40% 10.5 6s
Cutting planes:
Gomory: 41
Cover: 6
Implied bound: 38
Projected implied bound: 33
MIR: 33
Flow cover: 79
Inf proof: 87
Explored 8596 nodes (90711 simplex iterations) in 6.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.933017 0.932415 0.932355 ... 0.923919
Optimal solution found (tolerance 0.00e+00)
Best objective 9.330165186612e-01, best bound 9.330165186612e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt5df3c2x.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbmdpkem_.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.00s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.1477209e+02 3.090560e+03 0.000000e+00 0s
165 1.8495963e+01 0.000000e+00 0.000000e+00 0s
Solved in 165 iterations and 0.00 seconds
Optimal objective 1.849596293e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.69403835e-03, 4.46078782e-03, 9.50236587e-05]])
fopt: 2.314282166625226
fun: -2.3383651219979287
message: 'Optimization terminated successfully.'
nfev: 143
nit: 2
status: 0
success: True
x: array([ 35.17144753, -87.99118454, -0.99142611])
xopt: array([35., 0., 0.])
zopt: array([35., 35., 35.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.18712529, 0.3539558 , 0.00677131]])
fopt: 2.2528019931227488
fun: -2.270025294747823
message: 'Optimization terminated successfully.'
nfev: 259
nit: 4
status: 0
success: True
x: array([ 56.01692643, -103.99328144, -0.99993055])
xopt: array([56., 0., 0.])
zopt: array([56., 56., 56.])
*******************************************
Period: 4
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 2.0256147100137003
fun: -2.0316125954093085
message: 'Optimization terminated successfully.'
nfev: 233
nit: 2
status: 0
success: True
x: array([79.4399705 , -0.36309048, 1. ])
xopt: array([79., 0., 1.])
zopt: array([79., 79., 80.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.12681580e-07, -1.03994915e-10, -2.95707013e-16]])
fopt: 1.8978870482608272
fun: -1.9052251988015017
message: 'Optimization terminated successfully.'
nfev: 243
nit: 3
status: 0
success: True
x: array([98.11561166, 1.00115276, -0.91409485])
xopt: array([98., 1., 0.])
zopt: array([98., 99., 99.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.35543407e-05, -4.18637729e-16, -4.89223565e-16]])
fopt: 1.77044238416797
fun: -1.7714467397819584
message: 'Optimization terminated successfully.'
nfev: 284
nit: 2
status: 0
success: True
x: array([119.50065661, 1. , 1. ])
xopt: array([119., 1., 1.])
zopt: array([119., 120., 121.])
*******************************************
Period: 7
direc: array([[ 3.24683913e-06, 1.89743189e-09, -3.33210966e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.43443734e-06, -4.94149838e-04, -4.41785306e-01]])
fopt: 1.5343455378037165
fun: -1.5558820618141052
message: 'Optimization terminated successfully.'
nfev: 880
nit: 12
status: 0
success: True
x: array([134.99049671, 1.00007196, -20.23186673])
xopt: array([134., 2., 0.])
zopt: array([134., 136., 136.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1475
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.1993260253876652
fun: -1.2002047637599922
message: 'Optimization terminated successfully.'
nfev: 340
nit: 3
status: 0
success: True
x: array([171.78448257, 1.00813062, 2.00000004])
xopt: array([171., 2., 2.])
zopt: array([171., 173., 175.])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 1.32376788, 0.00771422, -0.01409579],
[ 0. , 0. , -0. ]])
fopt: 1.0459378794796246
fun: -1.0469579817883212
message: 'Optimization terminated successfully.'
nfev: 313
nit: 3
status: 0
success: True
x: array([173.92353994, 3.00770745, -0.85137965])
xopt: array([173., 4., 0.])
zopt: array([173., 177., 177.])
*******************************************
Period: 11
direc: array([[-6.99995623e-06, -3.64538296e-08, -8.27978762e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.30958711e-08, -4.18347104e-02]])
fopt: 0.9704292086469714
fun: -0.9738596478150013
message: 'Optimization terminated successfully.'
nfev: 926
nit: 8
status: 0
success: True
x: array([195.01445624, 2.00500117, 14.00770191])
xopt: array([195., 2., 14.])
zopt: array([195., 197., 211.])
*******************************************
Period: 12
direc: array([[2.11100246e-08, 1.11928392e-10, 2.39426349e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.13498101e-07, 1.01135879e+01, 2.00463486e+01]])
fopt: 0.9907918856369046
fun: -0.9858475518159702
message: 'Optimization terminated successfully.'
nfev: 686
nit: 6
status: 0
success: True
x: array([194.81202306, 13.01027324, 25.22665357])
xopt: array([194., 13., 26.])
zopt: array([194., 207., 233.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ],
[-0. , -0.00594566, -0. ]])
fopt: 0.8168212450348685
fun: -0.8171226291123811
message: 'Optimization terminated successfully.'
nfev: 388
nit: 6
status: 0
success: True
x: array([195.09280577, 34.04300543, 4.01752051])
xopt: array([195., 34., 5.])
zopt: array([195., 229., 234.])
*******************************************
Period: 14
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0. , -0.03078478, -2.33588571]])
fopt: 0.9232566968644276
fun: -0.9258274018469034
message: 'Optimization terminated successfully.'
nfev: 334
nit: 4
status: 0
success: True
x: array([195.10475881, 3.15997376, 78.18152968])
xopt: array([195., 3., 78.])
zopt: array([195., 198., 276.])
*******************************************
Period: 15
direc: array([[0., 0., 0.],
[0., 0., 0.],
[0., 1., 0.]])
fopt: 0.5555847040473773
fun: -0.5566942306467895
message: 'Optimization terminated successfully.'
nfev: 315
nit: 4
status: 0
success: True
x: array([194.92054602, 5.0174316 , 3. ])
xopt: array([194., 6., 3.])
zopt: array([194., 200., 203.])
*******************************************
Period: 16
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -5.67287137e-04, 2.35163550e-04]])
fopt: 0.46916690160209834
fun: -0.47211415542016666
message: 'Optimization terminated successfully.'
nfev: 277
nit: 3
status: 0
success: True
x: array([231.4020877 , -1.40474562, 3.00023516])
xopt: array([231., 0., 4.])
zopt: array([231., 231., 235.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, 0.00000000e+00, 9.05355663e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.00593046e-04, 5.68519777e-06, 2.37127859e-05]])
fopt: 0.6498358959629956
fun: -0.7369297537907505
message: 'Optimization terminated successfully.'
nfev: 994
nit: 9
status: 0
success: True
x: array([214.23190065, -16.21936271, 136.05491216])
xopt: array([214., 0., 136.])
zopt: array([214., 214., 350.])
*******************************************
Period: 18
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 125.2315228]])
fopt: 0.5454137198465646
fun: -0.5463500775178691
message: 'Optimization terminated successfully.'
nfev: 435
nit: 5
status: 0
success: True
x: array([231.13527846, 1.06385822, 130.21414181])
xopt: array([231., 1., 130.])
zopt: array([231., 232., 362.])
*******************************************
Period: 19
direc: array([[ 1.26387931e-01, -3.20133656e+01, 3.20144715e+01],
[ 3.95549776e-03, 1.72971317e-05, 1.72971317e-05],
[-7.22331614e-02, -3.15619491e-04, 1.35014818e+02]])
fopt: 0.5273883252578333
fun: -0.6712832844188673
message: 'Optimization terminated successfully.'
nfev: 682
nit: 8
status: 0
success: True
x: array([228.02994625, -31.02418456, 173. ])
xopt: array([228., 0., 173.])
zopt: array([228., 228., 401.])
*******************************************
Period: 20
direc: array([[-2.92659659e-02, -1.29417167e-04, -1.31431057e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.16555835338219158
fun: -0.16454877629879044
message: 'Optimization terminated successfully.'
nfev: 372
nit: 3
status: 0
success: True
x: array([229.64538364, 2.01109384, 3.0268277 ])
xopt: array([229., 2., 4.])
zopt: array([229., 231., 235.])
*******************************************
Period: 21
direc: array([[7.40630312e-02, 3.22939500e-04, 3.22939500e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.08028652994250583
fun: -0.07950337982656035
message: 'Optimization terminated successfully.'
nfev: 287
nit: 3
status: 0
success: True
x: array([230.36855698, 2.02119672, 3.00012335])
xopt: array([230., 2., 4.])
zopt: array([230., 232., 236.])
*******************************************
Period: 22
direc: array([[4.36660504e-02, 1.90282448e-04, 1.92580058e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.07748994621713662
fun: -0.07663065830825193
message: 'Optimization terminated successfully.'
nfev: 269
nit: 3
status: 0
success: True
x: array([230.52389744, 2.00068261, 3.01226754])
xopt: array([230., 2., 4.])
zopt: array([230., 232., 236.])
*******************************************
Period: 23
direc: array([[ 3.16162246e-02, 1.38091133e-04, 1.38091133e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.32877422e-15, 4.07310765e-17, -1.14949550e-05]])
fopt: 0.5299549387991668
fun: -0.6221152456720218
message: 'Optimization terminated successfully.'
nfev: 432
nit: 4
status: 0
success: True
x: array([229.98349719, -31.98063456, 210.0813298 ])
xopt: array([229., 0., 211.])
zopt: array([229., 229., 440.])
*******************************************
Period: 24
direc: array([[3.45416145e-03, 1.51321381e-05, 1.51321381e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.26352819e-01, 3.08154002e-05, 1.90587339e+02]])
fopt: 0.5283445702013762
fun: -0.5262900738437694
message: 'Optimization terminated successfully.'
nfev: 482
nit: 5
status: 0
success: True
x: array([229.60054146, 1.07919764, 194.00855086])
xopt: array([229., 1., 195.])
zopt: array([229., 230., 425.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 188.12442881]])
fopt: 0.4943678561293466
fun: -0.642548718304614
message: 'Optimization terminated successfully.'
nfev: 445
nit: 6
status: 0
success: True
x: array([232.25363311, -34.25363603, 225.00000222])
xopt: array([232., 0., 225.])
zopt: array([232., 232., 457.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0. , 0.00277067, -0.29859249]])
fopt: 0.5599198654908158
fun: -0.5589382753300396
message: 'Optimization terminated successfully.'
nfev: 466
nit: 6
status: 0
success: True
x: array([231.68940378, -1.0000277 , 194.00000003])
xopt: array([231., 0., 194.])
zopt: array([231., 231., 425.])
*******************************************
Period: 27
direc: array([[-2.50749314e+00, -0.00000000e+00, -2.21448576e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.96806635e+00, -3.94193754e-04, 1.96992954e+00]])
fopt: 0.1258372220357989
fun: -0.12499428420867334
message: 'Optimization terminated successfully.'
nfev: 419
nit: 5
status: 0
success: True
x: array([226.02325958, -1.01513955, 8.00035736])
xopt: array([226., 0., 9.])
zopt: array([226., 226., 235.])
*******************************************
Period: 28
direc: array([[2.42066173e-09, 1.05604891e-11, 2.14865965e-11],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.80701163e-09, 1.15961138e+00, 1.17120749e+00]])
fopt: 0.11090719593783561
fun: -0.10971095505722284
message: 'Optimization terminated successfully.'
nfev: 262
nit: 3
status: 0
success: True
x: array([230.21871325, 5.15961128, 5.21582873])
xopt: array([230., 6., 6.])
zopt: array([230., 236., 242.])
*******************************************
Period: 29
direc: array([[1.27663813e-05, 5.52645257e-08, 1.11911710e-07],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[5.68434189e-14, 2.00000000e+00, 0.00000000e+00]])
fopt: 0.11278643867755073
fun: -0.11285245118406219
message: 'Optimization terminated successfully.'
nfev: 664
nit: 7
status: 0
success: True
x: array([232.00500369, 11.00000004, 4.02501903])
xopt: array([232., 12., 5.])
zopt: array([232., 244., 249.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiqsmnv5l.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd22dgoqs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbam3ko9j.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnucdfu8j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869633
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.314282e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3142822 2.31428 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.31428 0.869633
Optimal solution found (tolerance 1.00e-02)
Best objective 2.314282166625e+00, best bound 2.314282166625e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptex0t7b9.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy9ibat_0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24832
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.489706e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.48971 0 3 1.24832 2.48971 99.4% - 0s
H 0 0 2.2528020 2.48971 10.5% - 0s
0 0 cutoff 0 2.25280 2.25280 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.2528 1.24832
Optimal solution found (tolerance 1.00e-02)
Best objective 2.252801993123e+00, best bound 2.252801993123e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptz0z1ts6.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsgk4pafm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49427
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 145 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 2.362103e+00, 21 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.36210 0 4 1.49427 2.36210 58.1% - 0s
H 0 0 2.0265641 2.36210 16.6% - 0s
0 0 cutoff 0 2.02656 2.02656 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow path: 1
Explored 1 nodes (25 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.02656 1.49427
Optimal solution found (tolerance 1.00e-02)
Best objective 2.026564137468e+00, best bound 2.026564137468e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg5a_15da.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfs68cdhy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.40891
Presolve removed 145 rows and 100 columns
Presolve time: 0.00s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 2.462286e+00, 51 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.46229 0 3 1.40891 2.46229 74.8% - 0s
H 0 0 2.0168434 2.46229 22.1% - 0s
0 0 2.05733 0 1 2.01684 2.05733 2.01% - 0s
0 0 cutoff 0 2.01684 2.01684 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (67 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.01684 1.40891
Optimal solution found (tolerance 1.00e-02)
Best objective 2.016843350918e+00, best bound 2.016843350918e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprgkxw75s.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsqiczopl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.53419
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.729188e+00, 93 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.72919 0 6 1.53419 2.72919 77.9% - 0s
0 0 2.15118 0 8 1.53419 2.15118 40.2% - 0s
0 0 2.09638 0 12 1.53419 2.09638 36.6% - 0s
H 0 0 1.8614588 2.09638 12.6% - 0s
0 0 2.07902 0 11 1.86146 2.07902 11.7% - 0s
0 0 2.06654 0 10 1.86146 2.06654 11.0% - 0s
0 0 2.05330 0 12 1.86146 2.05330 10.3% - 0s
0 0 2.05132 0 11 1.86146 2.05132 10.2% - 0s
0 0 2.05068 0 11 1.86146 2.05068 10.2% - 0s
0 0 2.05068 0 11 1.86146 2.05068 10.2% - 0s
0 0 2.05068 0 9 1.86146 2.05068 10.2% - 0s
H 0 0 1.9925590 2.05068 2.92% - 0s
0 0 2.05068 0 2 1.99256 2.05068 2.92% - 0s
0 0 2.04565 0 2 1.99256 2.04565 2.66% - 0s
0 0 2.01863 0 1 1.99256 2.01863 1.31% - 0s
0 0 cutoff 0 1.99256 1.99256 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow cover: 2
Explored 1 nodes (223 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.99256 1.86146 1.53419
Optimal solution found (tolerance 1.00e-02)
Best objective 1.992558968759e+00, best bound 1.992558968759e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5dp5dfkz.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjirq07sk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.61495
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.527259e+00, 111 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.52726 0 8 1.61495 2.52726 56.5% - 0s
0 0 2.27736 0 14 1.61495 2.27736 41.0% - 0s
0 0 1.99039 0 11 1.61495 1.99039 23.2% - 0s
0 0 1.99039 0 11 1.61495 1.99039 23.2% - 0s
0 0 1.98574 0 7 1.61495 1.98574 23.0% - 0s
0 0 1.98081 0 11 1.61495 1.98081 22.7% - 0s
0 0 1.98081 0 11 1.61495 1.98081 22.7% - 0s
0 0 1.97910 0 11 1.61495 1.97910 22.5% - 0s
0 0 1.97910 0 9 1.61495 1.97910 22.5% - 0s
H 0 0 1.8188140 1.97910 8.81% - 0s
0 2 1.97910 0 9 1.81881 1.97910 8.81% - 0s
Cutting planes:
Gomory: 6
Implied bound: 3
Clique: 2
MIR: 1
Flow cover: 11
Explored 19 nodes (277 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.81881 1.61495
Optimal solution found (tolerance 1.00e-02)
Best objective 1.818814003937e+00, best bound 1.818814003937e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptoc7_4mo.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp482fjhzl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51223
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.477451e+00, 147 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.47745 0 9 1.51223 2.47745 63.8% - 0s
0 0 2.14190 0 17 1.51223 2.14190 41.6% - 0s
0 0 1.87671 0 13 1.51223 1.87671 24.1% - 0s
H 0 0 1.6147584 1.87671 16.2% - 0s
0 0 1.87570 0 13 1.61476 1.87570 16.2% - 0s
0 0 1.87570 0 11 1.61476 1.87570 16.2% - 0s
H 0 0 1.6493877 1.87570 13.7% - 0s
H 0 0 1.7309719 1.87570 8.36% - 0s
H 0 0 1.7451134 1.87570 7.48% - 0s
0 2 1.87570 0 11 1.74511 1.87570 7.48% - 0s
H 3 2 1.7686826 1.84909 4.55% 4.3 0s
H 32 6 1.7878109 1.82413 2.03% 4.2 0s
Cutting planes:
Gomory: 8
Implied bound: 5
Clique: 2
Flow cover: 12
Explored 42 nodes (422 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.78781 1.76868 1.74511 ... 1.51223
Optimal solution found (tolerance 1.00e-02)
Best objective 1.787810936223e+00, best bound 1.787810936223e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmac78i_3.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm2cfv_ww.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.53294
Presolve removed 179 rows and 116 columns
Presolve time: 0.00s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.271494e+00, 169 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.27149 0 11 1.53294 2.27149 48.2% - 0s
0 0 1.90314 0 19 1.53294 1.90314 24.1% - 0s
0 0 1.73687 0 13 1.53294 1.73687 13.3% - 0s
0 0 1.69917 0 13 1.53294 1.69917 10.8% - 0s
H 0 0 1.5689570 1.69917 8.30% - 0s
0 0 1.69917 0 13 1.56896 1.69917 8.30% - 0s
0 0 1.69718 0 12 1.56896 1.69718 8.17% - 0s
0 0 1.69718 0 12 1.56896 1.69718 8.17% - 0s
H 0 0 1.5704441 1.69718 8.07% - 0s
0 2 1.69718 0 12 1.57044 1.69718 8.07% - 0s
H 28 6 1.5988931 1.64729 3.03% 3.5 0s
* 30 5 10 1.6107993 1.64729 2.27% 3.5 0s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 6
Clique: 2
Flow cover: 17
Explored 35 nodes (422 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.6108 1.59889 1.57044 ... 1.53294
Optimal solution found (tolerance 1.00e-02)
Best objective 1.610799323074e+00, best bound 1.610799323074e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi1q1kgtj.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps5_51mod.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.40777
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.139809e+00, 170 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13981 0 12 1.40777 2.13981 52.0% - 0s
0 0 1.75868 0 25 1.40777 1.75868 24.9% - 0s
0 0 1.75868 0 25 1.40777 1.75868 24.9% - 0s
0 0 1.58983 0 13 1.40777 1.58983 12.9% - 0s
H 0 0 1.4497809 1.58983 9.66% - 0s
0 0 1.58777 0 14 1.44978 1.58777 9.52% - 0s
0 0 1.58777 0 14 1.44978 1.58777 9.52% - 0s
0 2 1.58777 0 14 1.44978 1.58777 9.52% - 0s
* 26 7 11 1.5146928 1.55389 2.59% 4.6 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 7
Clique: 2
MIR: 1
Flow cover: 19
Explored 30 nodes (464 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.51469 1.44978 1.40777
Optimal solution found (tolerance 1.00e-02)
Best objective 1.514692806179e+00, best bound 1.514692806179e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ofj9mo1.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8mkdwzgl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3422
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.010357e+00, 218 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01036 0 15 1.34220 2.01036 49.8% - 0s
0 0 1.61053 0 18 1.34220 1.61053 20.0% - 0s
0 0 1.57397 0 25 1.34220 1.57397 17.3% - 0s
0 0 1.57335 0 29 1.34220 1.57335 17.2% - 0s
0 0 1.54038 0 28 1.34220 1.54038 14.8% - 0s
0 0 1.54038 0 29 1.34220 1.54038 14.8% - 0s
0 0 1.53878 0 32 1.34220 1.53878 14.6% - 0s
0 0 1.53878 0 32 1.34220 1.53878 14.6% - 0s
H 0 0 1.3612891 1.53878 13.0% - 0s
0 2 1.53878 0 32 1.36129 1.53878 13.0% - 0s
* 58 8 18 1.4079429 1.44740 2.80% 5.3 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 8
Clique: 2
MIR: 1
Flow cover: 16
Explored 71 nodes (732 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.40794 1.36129 1.3422
Optimal solution found (tolerance 1.00e-02)
Best objective 1.407942871415e+00, best bound 1.407942871415e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkosr6p89.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1ou4nts7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24454
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.213769e+00, 213 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21377 0 16 1.24454 2.21377 77.9% - 0s
0 0 1.88104 0 26 1.24454 1.88104 51.1% - 0s
0 0 1.77317 0 32 1.24454 1.77317 42.5% - 0s
0 0 1.75237 0 33 1.24454 1.75237 40.8% - 0s
0 0 1.75194 0 33 1.24454 1.75194 40.8% - 0s
0 0 1.72196 0 33 1.24454 1.72196 38.4% - 0s
0 0 1.71981 0 30 1.24454 1.71981 38.2% - 0s
0 0 1.71981 0 28 1.24454 1.71981 38.2% - 0s
0 2 1.71981 0 28 1.24454 1.71981 38.2% - 0s
* 99 26 25 1.3173782 1.54275 17.1% 7.2 0s
* 140 34 23 1.3810727 1.51182 9.47% 6.0 0s
* 211 38 21 1.3840617 1.49788 8.22% 5.3 0s
* 241 35 26 1.4059733 1.49450 6.30% 5.2 0s
* 258 21 20 1.4099655 1.48966 5.65% 5.2 0s
* 263 21 19 1.4135855 1.48966 5.38% 5.2 0s
* 302 0 18 1.4262059 1.47690 3.55% 5.1 0s
Cutting planes:
Gomory: 12
Implied bound: 9
Clique: 2
MIR: 3
Flow cover: 26
Inf proof: 1
Explored 333 nodes (2133 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.42621 1.41359 1.40997 ... 1.24454
Optimal solution found (tolerance 1.00e-02)
Best objective 1.426205856304e+00, best bound 1.426205856304e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppjv76alw.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2bdh6bnb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30226
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.062553e+00, 272 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06255 0 19 1.30226 2.06255 58.4% - 0s
0 0 1.65020 0 24 1.30226 1.65020 26.7% - 0s
0 0 1.64943 0 24 1.30226 1.64943 26.7% - 0s
0 0 1.60666 0 37 1.30226 1.60666 23.4% - 0s
0 0 1.60666 0 37 1.30226 1.60666 23.4% - 0s
0 0 1.60213 0 37 1.30226 1.60213 23.0% - 0s
0 0 1.60164 0 37 1.30226 1.60164 23.0% - 0s
0 0 1.59488 0 33 1.30226 1.59488 22.5% - 0s
0 0 1.59478 0 33 1.30226 1.59478 22.5% - 0s
0 0 1.59406 0 37 1.30226 1.59406 22.4% - 0s
0 0 1.59406 0 37 1.30226 1.59406 22.4% - 0s
0 2 1.59406 0 33 1.30226 1.59406 22.4% - 0s
* 120 49 28 1.3192580 1.52376 15.5% 5.3 0s
Cutting planes:
Gomory: 12
Implied bound: 11
Clique: 2
MIR: 11
Flow cover: 19
Flow path: 1
Inf proof: 2
Explored 269 nodes (1833 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.31926 1.30226
Optimal solution found (tolerance 1.00e-02)
Best objective 1.319258022736e+00, best bound 1.331940021802e+00, gap 0.9613%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphp4kpok6.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpto7r_5mv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18219
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.050490e+00, 301 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05049 0 21 1.18219 2.05049 73.4% - 0s
0 0 1.63829 0 17 1.18219 1.63829 38.6% - 0s
0 0 1.61756 0 31 1.18219 1.61756 36.8% - 0s
0 0 1.59209 0 34 1.18219 1.59209 34.7% - 0s
0 0 1.59202 0 35 1.18219 1.59202 34.7% - 0s
0 0 1.59053 0 35 1.18219 1.59053 34.5% - 0s
0 0 1.59053 0 35 1.18219 1.59053 34.5% - 0s
0 2 1.59053 0 31 1.18219 1.59053 34.5% - 0s
* 118 45 38 1.2667974 1.55386 22.7% 8.7 0s
Cutting planes:
Gomory: 13
Cover: 3
Implied bound: 10
Clique: 2
MIR: 4
Flow cover: 25
Inf proof: 12
Explored 881 nodes (5834 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.2668 1.18219
Optimal solution found (tolerance 1.00e-02)
Best objective 1.266797359746e+00, best bound 1.279077884396e+00, gap 0.9694%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppvee5epb.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpukh9hsd2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1733
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.916638e+00, 313 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91664 0 24 1.17330 1.91664 63.4% - 0s
0 0 1.52744 0 22 1.17330 1.52744 30.2% - 0s
0 0 1.48522 0 38 1.17330 1.48522 26.6% - 0s
0 0 1.48487 0 37 1.17330 1.48487 26.6% - 0s
0 0 1.47936 0 40 1.17330 1.47936 26.1% - 0s
0 0 1.47906 0 40 1.17330 1.47906 26.1% - 0s
0 0 1.47481 0 42 1.17330 1.47481 25.7% - 0s
0 0 1.47479 0 42 1.17330 1.47479 25.7% - 0s
0 0 1.47445 0 41 1.17330 1.47445 25.7% - 0s
0 0 1.47445 0 41 1.17330 1.47445 25.7% - 0s
0 2 1.47445 0 41 1.17330 1.47445 25.7% - 0s
* 294 98 39 1.1733345 1.28215 9.27% 5.7 0s
H 528 108 1.1773462 1.26182 7.17% 5.1 0s
Cutting planes:
Gomory: 15
Cover: 2
Implied bound: 12
Clique: 2
MIR: 4
Flow cover: 29
Inf proof: 11
Explored 1017 nodes (6113 simplex iterations) in 0.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.17735 1.17333 1.1733
Optimal solution found (tolerance 1.00e-02)
Best objective 1.177346236483e+00, best bound 1.183814312599e+00, gap 0.5494%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmbxtx_7v.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp97lgl6gq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0684
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.901541e+00, 335 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90154 0 26 1.06840 1.90154 78.0% - 0s
0 0 1.51883 0 25 1.06840 1.51883 42.2% - 0s
0 0 1.51616 0 25 1.06840 1.51616 41.9% - 0s
0 0 1.50175 0 36 1.06840 1.50175 40.6% - 0s
0 0 1.50175 0 36 1.06840 1.50175 40.6% - 0s
0 0 1.47867 0 40 1.06840 1.47867 38.4% - 0s
0 0 1.47857 0 41 1.06840 1.47857 38.4% - 0s
0 0 1.47516 0 42 1.06840 1.47516 38.1% - 0s
0 0 1.47388 0 30 1.06840 1.47388 38.0% - 0s
0 0 1.47368 0 30 1.06840 1.47368 37.9% - 0s
0 0 1.47293 0 30 1.06840 1.47293 37.9% - 0s
0 0 1.47293 0 30 1.06840 1.47293 37.9% - 0s
0 2 1.47293 0 30 1.06840 1.47293 37.9% - 0s
* 312 94 26 1.0724609 1.33907 24.9% 6.4 0s
* 513 99 31 1.1185164 1.28456 14.8% 5.9 0s
* 683 105 32 1.1212998 1.25820 12.2% 5.7 0s
* 935 0 31 1.1244013 1.15176 2.43% 5.6 0s
Cutting planes:
Gomory: 14
Cover: 1
Implied bound: 12
Clique: 2
MIR: 8
Flow cover: 29
Inf proof: 7
Explored 944 nodes (5855 simplex iterations) in 0.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.1244 1.1213 1.11852 ... 1.0684
Optimal solution found (tolerance 1.00e-02)
Best objective 1.124401268056e+00, best bound 1.124401268056e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbd0ngmge.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphefq_o0r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04432
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.812147e+00, 391 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81215 0 29 1.04432 1.81215 73.5% - 0s
0 0 1.45554 0 25 1.04432 1.45554 39.4% - 0s
0 0 1.41810 0 43 1.04432 1.41810 35.8% - 0s
0 0 1.41037 0 42 1.04432 1.41037 35.1% - 0s
0 0 1.40876 0 43 1.04432 1.40876 34.9% - 0s
0 0 1.40825 0 42 1.04432 1.40825 34.8% - 0s
0 0 1.40690 0 44 1.04432 1.40690 34.7% - 0s
0 0 1.40680 0 45 1.04432 1.40680 34.7% - 0s
0 0 1.40574 0 46 1.04432 1.40574 34.6% - 0s
0 0 1.40574 0 42 1.04432 1.40574 34.6% - 0s
0 2 1.40574 0 41 1.04432 1.40574 34.6% - 0s
* 255 91 46 1.0610770 1.27992 20.6% 5.3 0s
Cutting planes:
Gomory: 15
Cover: 5
Implied bound: 21
Clique: 2
MIR: 5
Flow cover: 27
Inf proof: 25
Explored 2557 nodes (13830 simplex iterations) in 0.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.06108 1.04432
Optimal solution found (tolerance 1.00e-02)
Best objective 1.061077002941e+00, best bound 1.061077002941e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpic13ewom.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwqksahxb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.956119
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.860390e+00, 393 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86039 0 32 0.95612 1.86039 94.6% - 0s
0 0 1.51405 0 29 0.95612 1.51405 58.4% - 0s
0 0 1.49976 0 53 0.95612 1.49976 56.9% - 0s
0 0 1.49783 0 52 0.95612 1.49783 56.7% - 0s
0 0 1.47137 0 50 0.95612 1.47137 53.9% - 0s
0 0 1.47018 0 51 0.95612 1.47018 53.8% - 0s
0 0 1.47001 0 53 0.95612 1.47001 53.7% - 0s
0 0 1.46484 0 46 0.95612 1.46484 53.2% - 0s
0 0 1.46440 0 48 0.95612 1.46440 53.2% - 0s
0 0 1.46306 0 48 0.95612 1.46306 53.0% - 0s
0 0 1.46255 0 48 0.95612 1.46255 53.0% - 0s
0 0 1.46255 0 40 0.95612 1.46255 53.0% - 0s
0 2 1.46255 0 40 0.95612 1.46255 53.0% - 0s
* 782 220 44 1.0275982 1.27420 24.0% 6.6 0s
* 1435 408 50 1.0313366 1.24381 20.6% 6.3 0s
* 3169 300 41 1.0334562 1.11579 7.97% 6.4 1s
Cutting planes:
Gomory: 17
Cover: 17
Implied bound: 38
Clique: 2
MIR: 7
Flow cover: 40
Inf proof: 59
Explored 3610 nodes (24395 simplex iterations) in 1.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.03346 1.03134 1.0276 0.956119
Optimal solution found (tolerance 1.00e-02)
Best objective 1.033456207875e+00, best bound 1.033456207875e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8yyolin4.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0l3leoxy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.949971
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.815098e+00, 441 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81510 0 37 0.94997 1.81510 91.1% - 0s
0 0 1.48022 0 38 0.94997 1.48022 55.8% - 0s
0 0 1.46576 0 62 0.94997 1.46576 54.3% - 0s
0 0 1.46386 0 60 0.94997 1.46386 54.1% - 0s
0 0 1.43978 0 59 0.94997 1.43978 51.6% - 0s
0 0 1.43742 0 61 0.94997 1.43742 51.3% - 0s
0 0 1.43699 0 58 0.94997 1.43699 51.3% - 0s
0 0 1.43698 0 59 0.94997 1.43698 51.3% - 0s
0 0 1.43099 0 65 0.94997 1.43099 50.6% - 0s
0 0 1.43063 0 69 0.94997 1.43063 50.6% - 0s
0 0 1.43022 0 65 0.94997 1.43022 50.6% - 0s
0 0 1.43019 0 65 0.94997 1.43019 50.6% - 0s
0 0 1.42556 0 65 0.94997 1.42556 50.1% - 0s
0 0 1.42448 0 67 0.94997 1.42448 49.9% - 0s
0 0 1.42448 0 52 0.94997 1.42448 49.9% - 0s
0 2 1.42448 0 52 0.94997 1.42448 49.9% - 0s
* 409 216 61 0.9658536 1.31501 36.2% 7.4 0s
* 1799 88 48 0.9848692 1.06096 7.73% 8.9 1s
* 1843 61 35 0.9860290 1.05164 6.65% 9.0 1s
* 1868 58 38 0.9891933 1.05164 6.31% 8.9 1s
Cutting planes:
Gomory: 29
Implied bound: 17
Projected implied bound: 16
Clique: 2
MIR: 13
Flow cover: 25
Inf proof: 22
Explored 2041 nodes (18891 simplex iterations) in 2.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.989193 0.986029 0.984869 ... 0.949971
Optimal solution found (tolerance 1.00e-02)
Best objective 9.891932707922e-01, best bound 9.891932707922e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsi7ngnnk.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz4k49yd7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895534
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.802849e+00, 512 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80285 0 38 0.89553 1.80285 101% - 0s
0 0 1.47322 0 38 0.89553 1.47322 64.5% - 0s
0 0 1.47322 0 38 0.89553 1.47322 64.5% - 0s
0 0 1.43614 0 64 0.89553 1.43614 60.4% - 0s
0 0 1.43441 0 62 0.89553 1.43441 60.2% - 0s
0 0 1.43258 0 62 0.89553 1.43258 60.0% - 0s
0 0 1.43173 0 63 0.89553 1.43173 59.9% - 0s
0 0 1.43173 0 63 0.89553 1.43173 59.9% - 0s
0 0 1.43072 0 63 0.89553 1.43072 59.8% - 0s
0 0 1.43072 0 52 0.89553 1.43072 59.8% - 0s
0 2 1.43072 0 52 0.89553 1.43072 59.8% - 0s
* 1135 446 63 0.9781989 1.24151 26.9% 10.7 2s
Cutting planes:
Learned: 2
Gomory: 41
Cover: 1
Implied bound: 21
Projected implied bound: 17
Clique: 4
MIR: 17
Flow cover: 52
Inf proof: 20
Explored 2666 nodes (26947 simplex iterations) in 2.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.978199 0.895534
Optimal solution found (tolerance 1.00e-02)
Best objective 9.781989077720e-01, best bound 9.873531417693e-01, gap 0.9358%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqosbe3lc.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0o7p4ekv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.893662
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.771015e+00, 526 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77101 0 42 0.89366 1.77101 98.2% - 0s
0 0 1.44263 0 42 0.89366 1.44263 61.4% - 0s
0 0 1.43005 0 65 0.89366 1.43005 60.0% - 0s
0 0 1.42838 0 64 0.89366 1.42838 59.8% - 0s
0 0 1.42838 0 64 0.89366 1.42838 59.8% - 0s
0 0 1.41023 0 67 0.89366 1.41023 57.8% - 0s
0 0 1.40880 0 65 0.89366 1.40880 57.6% - 0s
0 0 1.40876 0 66 0.89366 1.40876 57.6% - 0s
0 0 1.40327 0 65 0.89366 1.40327 57.0% - 0s
0 0 1.40298 0 65 0.89366 1.40298 57.0% - 0s
0 0 1.40069 0 67 0.89366 1.40069 56.7% - 0s
0 0 1.40042 0 67 0.89366 1.40042 56.7% - 0s
0 0 1.40018 0 67 0.89366 1.40018 56.7% - 0s
0 0 1.39787 0 65 0.89366 1.39787 56.4% - 0s
0 0 1.39757 0 66 0.89366 1.39757 56.4% - 0s
0 0 1.39752 0 67 0.89366 1.39752 56.4% - 0s
0 0 1.39387 0 68 0.89366 1.39387 56.0% - 0s
0 0 1.39335 0 70 0.89366 1.39335 55.9% - 0s
0 0 1.39236 0 65 0.89366 1.39236 55.8% - 0s
0 0 1.39236 0 53 0.89366 1.39236 55.8% - 0s
0 2 1.39236 0 53 0.89366 1.39236 55.8% - 0s
* 1239 531 63 0.9238162 1.23004 33.1% 8.3 0s
* 1828 606 57 0.9373185 1.20720 28.8% 9.1 2s
Cutting planes:
Learned: 2
Gomory: 39
Implied bound: 21
Projected implied bound: 22
Clique: 3
MIR: 13
Flow cover: 46
Inf proof: 30
Explored 3328 nodes (35379 simplex iterations) in 3.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.937319 0.923816 0.893662
Optimal solution found (tolerance 1.00e-02)
Best objective 9.373185333472e-01, best bound 9.373185333472e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpas1wfbal.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq3aji6uy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906104
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.687947e+00, 570 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68795 0 47 0.90610 1.68795 86.3% - 0s
0 0 1.38872 0 45 0.90610 1.38872 53.3% - 0s
0 0 1.37744 0 73 0.90610 1.37744 52.0% - 0s
0 0 1.37741 0 74 0.90610 1.37741 52.0% - 0s
0 0 1.36009 0 71 0.90610 1.36009 50.1% - 0s
0 0 1.35877 0 71 0.90610 1.35877 50.0% - 0s
0 0 1.35595 0 74 0.90610 1.35595 49.6% - 0s
0 0 1.35538 0 74 0.90610 1.35538 49.6% - 0s
0 0 1.35531 0 74 0.90610 1.35531 49.6% - 0s
0 0 1.35530 0 74 0.90610 1.35530 49.6% - 0s
0 0 1.35530 0 74 0.90610 1.35530 49.6% - 0s
0 2 1.35530 0 64 0.90610 1.35530 49.6% - 0s
Cutting planes:
Learned: 1
Gomory: 34
Cover: 4
Implied bound: 20
Projected implied bound: 25
Clique: 4
MIR: 16
Flow cover: 42
Inf proof: 21
Network: 1
Explored 3789 nodes (38444 simplex iterations) in 3.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.906104
Optimal solution found (tolerance 1.00e-02)
Best objective 9.061041703154e-01, best bound 9.143443422045e-01, gap 0.9094%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw_jkgqfw.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvnj31vpi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.88667
Presolve removed 364 rows and 229 columns
Presolve time: 0.01s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.648461e+00, 585 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64846 0 43 0.88667 1.64846 85.9% - 0s
0 0 1.60089 0 51 0.88667 1.60089 80.6% - 0s
0 0 1.60089 0 51 0.88667 1.60089 80.6% - 0s
0 0 1.40491 0 81 0.88667 1.40491 58.4% - 0s
0 0 1.40340 0 80 0.88667 1.40340 58.3% - 0s
0 0 1.39437 0 88 0.88667 1.39437 57.3% - 0s
0 0 1.39181 0 85 0.88667 1.39181 57.0% - 0s
0 0 1.39176 0 86 0.88667 1.39176 57.0% - 0s
0 0 1.38390 0 84 0.88667 1.38390 56.1% - 0s
0 0 1.38389 0 83 0.88667 1.38389 56.1% - 0s
0 0 1.38205 0 81 0.88667 1.38205 55.9% - 0s
0 0 1.38205 0 81 0.88667 1.38205 55.9% - 0s
0 0 1.38190 0 80 0.88667 1.38190 55.9% - 0s
0 0 1.38190 0 80 0.88667 1.38190 55.9% - 0s
0 2 1.38190 0 80 0.88667 1.38190 55.9% - 0s
* 2537 535 54 0.8877334 1.10682 24.7% 10.3 2s
* 2538 502 54 0.8911632 1.10682 24.2% 10.3 2s
* 3637 10 53 0.8919554 0.92944 4.20% 9.6 3s
Cutting planes:
Learned: 1
Gomory: 29
Cover: 10
Implied bound: 17
Projected implied bound: 14
Clique: 6
MIR: 16
Flow cover: 49
Inf proof: 34
Network: 1
Explored 3730 nodes (36728 simplex iterations) in 3.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.891955 0.891163 0.887733 0.88667
Optimal solution found (tolerance 1.00e-02)
Best objective 8.919553783343e-01, best bound 8.919553783343e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcds7tics.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_bsddma2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.865445
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.581059e+00, 653 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58106 0 47 0.86544 1.58106 82.7% - 0s
0 0 1.53717 0 57 0.86544 1.53717 77.6% - 0s
0 0 1.50317 0 76 0.86544 1.50317 73.7% - 0s
0 0 1.49904 0 74 0.86544 1.49904 73.2% - 0s
0 0 1.49662 0 76 0.86544 1.49662 72.9% - 0s
0 0 1.49647 0 77 0.86544 1.49647 72.9% - 0s
0 0 1.49406 0 83 0.86544 1.49406 72.6% - 0s
0 0 1.49088 0 82 0.86544 1.49088 72.3% - 0s
0 0 1.48493 0 83 0.86544 1.48493 71.6% - 0s
0 0 1.48492 0 84 0.86544 1.48492 71.6% - 0s
0 0 1.48377 0 84 0.86544 1.48377 71.4% - 0s
0 0 1.48373 0 82 0.86544 1.48373 71.4% - 0s
0 0 1.48373 0 71 0.86544 1.48373 71.4% - 0s
0 2 1.48373 0 71 0.86544 1.48373 71.4% - 0s
H 2586 442 0.8710912 1.03607 18.9% 9.2 2s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 4
MIR: 5
Flow cover: 13
Inf proof: 5
Explored 4424 nodes (38949 simplex iterations) in 3.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.871091 0.865445
Optimal solution found (tolerance 1.00e-02)
Best objective 8.710912189950e-01, best bound 8.759434448472e-01, gap 0.5570%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1w2q9c7a.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd_o48vy2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.880616
Presolve removed 390 rows and 245 columns
Presolve time: 0.01s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.572722e+00, 627 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57272 0 49 0.88062 1.57272 78.6% - 0s
0 0 1.52356 0 58 0.88062 1.52356 73.0% - 0s
0 0 1.52356 0 58 0.88062 1.52356 73.0% - 0s
0 0 1.38865 0 77 0.88062 1.38865 57.7% - 0s
0 0 1.38219 0 77 0.88062 1.38219 57.0% - 0s
0 0 1.36654 0 75 0.88062 1.36654 55.2% - 0s
0 0 1.36397 0 73 0.88062 1.36397 54.9% - 0s
0 0 1.36167 0 78 0.88062 1.36167 54.6% - 0s
0 0 1.35923 0 77 0.88062 1.35923 54.3% - 0s
0 0 1.35923 0 76 0.88062 1.35923 54.3% - 0s
0 0 1.35522 0 63 0.88062 1.35522 53.9% - 0s
0 0 1.35484 0 74 0.88062 1.35484 53.9% - 0s
0 0 1.35420 0 79 0.88062 1.35420 53.8% - 0s
0 0 1.35420 0 79 0.88062 1.35420 53.8% - 0s
0 0 1.35224 0 81 0.88062 1.35224 53.6% - 0s
0 0 1.35223 0 81 0.88062 1.35223 53.6% - 0s
0 0 1.35145 0 80 0.88062 1.35145 53.5% - 0s
0 0 1.35145 0 71 0.88062 1.35145 53.5% - 0s
0 2 1.35145 0 69 0.88062 1.35145 53.5% - 0s
* 313 187 90 0.8896047 1.27114 42.9% 9.1 0s
4255 352 infeasible 42 0.88960 0.97192 9.25% 12.8 5s
Cutting planes:
Gomory: 40
Cover: 1
Implied bound: 23
Projected implied bound: 32
Clique: 3
MIR: 12
Flow cover: 53
Flow path: 1
Inf proof: 41
Explored 5349 nodes (62578 simplex iterations) in 5.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.889605 0.880616
Optimal solution found (tolerance 1.00e-02)
Best objective 8.896046631099e-01, best bound 8.896046631099e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpun7uwbqd.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf_kuaxvn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.874897
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.548907e+00, 656 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54891 0 54 0.87490 1.54891 77.0% - 0s
0 0 1.49853 0 64 0.87490 1.49853 71.3% - 0s
0 0 1.49799 0 65 0.87490 1.49799 71.2% - 0s
0 0 1.37211 0 79 0.87490 1.37211 56.8% - 0s
0 0 1.35973 0 70 0.87490 1.35973 55.4% - 0s
0 0 1.35802 0 73 0.87490 1.35802 55.2% - 0s
0 0 1.35793 0 75 0.87490 1.35793 55.2% - 0s
0 0 1.35723 0 81 0.87490 1.35723 55.1% - 0s
0 0 1.35717 0 78 0.87490 1.35717 55.1% - 0s
0 0 1.35699 0 81 0.87490 1.35699 55.1% - 0s
0 0 1.35699 0 70 0.87490 1.35699 55.1% - 0s
0 2 1.35699 0 67 0.87490 1.35699 55.1% - 0s
* 4194 1010 64 0.8767150 1.04895 19.6% 12.6 4s
* 4196 1009 63 0.8776089 1.04895 19.5% 12.6 4s
H 4639 1100 0.8780898 1.03842 18.3% 12.6 4s
H 4647 1100 0.8784286 1.03719 18.1% 12.6 4s
5262 969 cutoff 47 0.87843 1.01314 15.3% 13.3 5s
* 6391 835 56 0.8798960 0.97913 11.3% 13.7 6s
* 7557 407 67 0.8805281 0.92770 5.36% 13.6 7s
* 7654 311 63 0.8822383 0.92183 4.49% 13.5 7s
Cutting planes:
Learned: 3
Gomory: 33
Cover: 1
Implied bound: 19
Projected implied bound: 30
Clique: 4
MIR: 12
Flow cover: 63
Inf proof: 71
Explored 8193 nodes (109525 simplex iterations) in 7.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.882238 0.880528 0.879896 ... 0.874897
Optimal solution found (tolerance 1.00e-02)
Best objective 8.822382585331e-01, best bound 8.910022476694e-01, gap 0.9934%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptorxorgd.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1am3m64y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.888386
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.558601e+00, 785 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55860 0 58 0.88839 1.55860 75.4% - 0s
0 0 1.51089 0 73 0.88839 1.51089 70.1% - 0s
0 0 1.51058 0 74 0.88839 1.51058 70.0% - 0s
0 0 1.38978 0 81 0.88839 1.38978 56.4% - 0s
0 0 1.38779 0 81 0.88839 1.38779 56.2% - 0s
0 0 1.38284 0 95 0.88839 1.38284 55.7% - 0s
0 0 1.38239 0 102 0.88839 1.38239 55.6% - 0s
0 0 1.37866 0 107 0.88839 1.37866 55.2% - 0s
0 0 1.37830 0 100 0.88839 1.37830 55.1% - 0s
0 0 1.37642 0 96 0.88839 1.37642 54.9% - 0s
0 0 1.37637 0 106 0.88839 1.37637 54.9% - 0s
0 0 1.37608 0 102 0.88839 1.37608 54.9% - 0s
0 0 1.37608 0 103 0.88839 1.37608 54.9% - 0s
0 0 1.37597 0 110 0.88839 1.37597 54.9% - 0s
0 0 1.37597 0 85 0.88839 1.37597 54.9% - 0s
0 2 1.37597 0 85 0.88839 1.37597 54.9% - 0s
* 532 301 103 0.8966965 1.25974 40.5% 9.0 0s
* 1170 488 90 0.9003214 1.23689 37.4% 12.5 3s
3237 923 0.98203 40 32 0.90032 1.10953 23.2% 12.5 5s
* 5257 828 53 0.9017345 1.00744 11.7% 11.7 6s
Cutting planes:
Gomory: 38
Implied bound: 25
Projected implied bound: 32
MIR: 20
Flow cover: 65
Flow path: 2
Inf proof: 56
Network: 1
Explored 7154 nodes (78802 simplex iterations) in 7.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.901735 0.900321 0.896697 0.888386
Optimal solution found (tolerance 1.00e-02)
Best objective 9.017345267000e-01, best bound 9.017345267000e-01, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4wjhixld.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi8n0bup2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.877827
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.501703e+00, 830 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50170 0 57 0.87783 1.50170 71.1% - 0s
0 0 1.45671 0 69 0.87783 1.45671 65.9% - 0s
0 0 1.45663 0 68 0.87783 1.45663 65.9% - 0s
0 0 1.34598 0 88 0.87783 1.34598 53.3% - 0s
0 0 1.34413 0 86 0.87783 1.34413 53.1% - 0s
0 0 1.32947 0 95 0.87783 1.32947 51.5% - 0s
0 0 1.32780 0 100 0.87783 1.32780 51.3% - 0s
0 0 1.32252 0 106 0.87783 1.32252 50.7% - 0s
0 0 1.32222 0 100 0.87783 1.32222 50.6% - 0s
0 0 1.32138 0 88 0.87783 1.32138 50.5% - 0s
0 0 1.32132 0 88 0.87783 1.32132 50.5% - 0s
0 0 1.32114 0 87 0.87783 1.32114 50.5% - 0s
0 0 1.32114 0 87 0.87783 1.32114 50.5% - 0s
0 0 1.32113 0 93 0.87783 1.32113 50.5% - 0s
0 0 1.32113 0 64 0.87783 1.32113 50.5% - 0s
0 2 1.32113 0 64 0.87783 1.32113 50.5% - 0s
H 1636 541 0.8779294 1.15064 31.1% 14.6 3s
H 2783 666 0.8779294 1.10780 26.2% 14.5 5s
Cutting planes:
Learned: 1
Gomory: 36
Cover: 5
Implied bound: 42
Projected implied bound: 35
Clique: 1
MIR: 21
Flow cover: 86
Inf proof: 59
Network: 1
Explored 6192 nodes (84717 simplex iterations) in 8.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.877929 0.877929 0.877827
Optimal solution found (tolerance 1.00e-02)
Best objective 8.779293695541e-01, best bound 8.779293695541e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyfl7qygx.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3melxlq3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.859668
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.458533e+00, 777 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45853 0 62 0.85967 1.45853 69.7% - 0s
0 0 1.42019 0 73 0.85967 1.42019 65.2% - 0s
0 0 1.42019 0 73 0.85967 1.42019 65.2% - 0s
0 0 1.32158 0 98 0.85967 1.32158 53.7% - 0s
0 0 1.31918 0 96 0.85967 1.31918 53.5% - 0s
0 0 1.30479 0 98 0.85967 1.30479 51.8% - 0s
0 0 1.30324 0 99 0.85967 1.30324 51.6% - 0s
0 0 1.29736 0 95 0.85967 1.29736 50.9% - 0s
0 0 1.29709 0 93 0.85967 1.29709 50.9% - 0s
0 0 1.26293 0 102 0.85967 1.26293 46.9% - 0s
0 0 1.25298 0 102 0.85967 1.25298 45.8% - 0s
0 0 1.25179 0 106 0.85967 1.25179 45.6% - 0s
0 0 1.25170 0 108 0.85967 1.25170 45.6% - 0s
0 0 1.25154 0 105 0.85967 1.25154 45.6% - 0s
0 0 1.25154 0 77 0.85967 1.25154 45.6% - 0s
0 2 1.25154 0 77 0.85967 1.25154 45.6% - 0s
H 756 522 0.8608215 1.14430 32.9% 8.4 1s
3784 1015 0.94639 46 47 0.86082 1.04338 21.2% 11.3 5s
Cutting planes:
Learned: 1
Gomory: 38
Cover: 2
Implied bound: 22
Projected implied bound: 13
Clique: 1
MIR: 24
Flow cover: 89
Inf proof: 64
Explored 8008 nodes (82649 simplex iterations) in 8.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.860821 0.859668
Optimal solution found (tolerance 1.00e-02)
Best objective 8.608214872685e-01, best bound 8.691095702711e-01, gap 0.9628%
Run 1
Seed for training 330
Seed for simulation 474
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.29469053e-01, 9.61266338e-01, 8.51094786e-02],
[ 7.22464941e-12, -2.01229173e-07, 2.43069276e-18]])
fopt: 1.0127996845436003
fun: -1.012489299368249
message: 'Optimization terminated successfully.'
nfev: 623
nit: 9
status: 0
success: True
x: array([ 84.01402474, 123.00688269, 226.08617838])
xopt: array([ 84., 124., 226.])
zopt: array([ 84., 208., 434.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4xz35y9b.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpinehno2v.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0128
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.793312e+00, 834 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79331 0 74 1.01280 1.79331 77.1% - 0s
0 0 1.73643 0 101 1.01280 1.73643 71.4% - 0s
0 0 1.73205 0 98 1.01280 1.73205 71.0% - 0s
0 0 1.71769 0 108 1.01280 1.71769 69.6% - 0s
0 0 1.71767 0 108 1.01280 1.71767 69.6% - 0s
0 0 1.71177 0 109 1.01280 1.71177 69.0% - 0s
0 0 1.70802 0 109 1.01280 1.70802 68.6% - 0s
0 0 1.69466 0 110 1.01280 1.69466 67.3% - 0s
0 0 1.69260 0 111 1.01280 1.69260 67.1% - 0s
0 0 1.69172 0 107 1.01280 1.69172 67.0% - 0s
0 0 1.68941 0 109 1.01280 1.68941 66.8% - 0s
0 0 1.68858 0 100 1.01280 1.68858 66.7% - 0s
0 0 1.68857 0 100 1.01280 1.68857 66.7% - 0s
0 0 1.68741 0 100 1.01280 1.68741 66.6% - 0s
0 0 1.68741 0 88 1.01280 1.68741 66.6% - 0s
0 2 1.68741 0 88 1.01280 1.68741 66.6% - 0s
* 5467 889 78 1.0144334 1.14128 12.5% 8.9 3s
H 5679 908 1.0166126 1.13423 11.6% 8.9 3s
H 5691 911 1.0166126 1.13390 11.5% 8.9 3s
* 5942 827 76 1.0167330 1.12742 10.9% 8.8 3s
* 7530 519 70 1.0185108 1.06328 4.40% 8.5 4s
7705 472 infeasible 50 1.01851 1.05538 3.62% 8.4 5s
* 7946 402 71 1.0200013 1.04936 2.88% 8.4 5s
* 8291 330 76 1.0217335 1.04557 2.33% 8.3 5s
* 9034 0 76 1.0220915 1.02328 0.12% 8.0 6s
Cutting planes:
Gomory: 1
Implied bound: 9
MIR: 7
Flow cover: 22
Inf proof: 3
Explored 9053 nodes (74492 simplex iterations) in 6.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 1.02209 1.02173 1.02 ... 1.0128
Optimal solution found (tolerance 0.00e+00)
Best objective 1.022091488432e+00, best bound 1.022091488432e+00, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfz1fg7jk.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3f87v991.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.00s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.1988471e+02 3.122874e+03 0.000000e+00 0s
158 1.9150360e+01 0.000000e+00 0.000000e+00 0s
Solved in 158 iterations and 0.01 seconds
Optimal objective 1.915035961e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.69403835e-03, 4.46078782e-03, 9.50236587e-05]])
fopt: 2.314282166625226
fun: -2.3383651219979287
message: 'Optimization terminated successfully.'
nfev: 143
nit: 2
status: 0
success: True
x: array([ 35.17144753, -87.99118454, -0.99142611])
xopt: array([35., 0., 0.])
zopt: array([35., 35., 35.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-3.95047864, 0.12661448, 5.69963313]])
fopt: 1.5049486461127688
fun: -1.5220133863557725
message: 'Optimization terminated successfully.'
nfev: 369
nit: 4
status: 0
success: True
x: array([ 59.41967344, -0.93275605, -77.99843708])
xopt: array([60., 0., 0.])
zopt: array([60., 60., 60.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.86418684e-05, 1.12234710e-06, 5.04976515e-05]])
fopt: 1.4031502467761345
fun: -1.400931084643958
message: 'Optimization terminated successfully.'
nfev: 178
nit: 2
status: 0
success: True
x: array([ 87.67878427, -0.99999887, -87.99575053])
xopt: array([88., 0., 0.])
zopt: array([88., 88., 88.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.4381272312156315
fun: -1.443172388468442
message: 'Optimization terminated successfully.'
nfev: 188
nit: 2
status: 0
success: True
x: array([108.14860839, 1.00006043, 0.38181475])
xopt: array([108., 1., 0.])
zopt: array([108., 109., 109.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.21025477e-04, 3.77927151e-11, -2.75271179e-06]])
fopt: 1.4290508605498164
fun: -1.4345326503463733
message: 'Optimization terminated successfully.'
nfev: 322
nit: 3
status: 0
success: True
x: array([128.9808676 , 1.00000822, 0.65526438])
xopt: array([128., 2., 0.])
zopt: array([128., 130., 130.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.60797928e-05, -1.86535659e-07, 1.12310940e-07]])
fopt: 1.2638989538895755
fun: -1.2632935165801282
message: 'Optimization terminated successfully.'
nfev: 180
nit: 2
status: 0
success: True
x: array([144.51402565, 2.02641875, 0.38181235])
xopt: array([144., 2., 0.])
zopt: array([144., 146., 146.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1461
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1515
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.9624387284650132
fun: -0.9638692755180331
message: 'Optimization terminated successfully.'
nfev: 226
nit: 2
status: 0
success: True
x: array([195.80976428, 1.00102725, -0.70316388])
xopt: array([195., 2., 0.])
zopt: array([195., 197., 197.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.95156321e-02, 9.03137727e-05, 3.65778144e-06]])
fopt: 0.8665139499751479
fun: -0.8689646942977867
message: 'Optimization terminated successfully.'
nfev: 413
nit: 4
status: 0
success: True
x: array([217.10646637, 2.00009378, 1.00697604])
xopt: array([217., 2., 1.])
zopt: array([217., 219., 220.])
*******************************************
Period: 12
direc: array([[ 0. , -0.05486475, 0.02128623],
[ 0. , 0. , 0. ],
[ 0. , 0. , 3.02419893]])
fopt: 0.8056779491172232
fun: -0.8072144943809776
message: 'Optimization terminated successfully.'
nfev: 687
nit: 9
status: 0
success: True
x: array([216.40263773, -0.44193119, 15.01829121])
xopt: array([216., 0., 16.])
zopt: array([216., 216., 232.])
*******************************************
Period: 13
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -1.05179434e-12, -1.29362171e-10]])
fopt: 0.7084986683629138
fun: -0.7083793714191956
message: 'Optimization terminated successfully.'
nfev: 380
nit: 4
status: 0
success: True
x: array([216.48489488, 2.00732438, 3.01322646])
xopt: array([216., 2., 4.])
zopt: array([216., 218., 222.])
*******************************************
Period: 14
direc: array([[-2.49235390e-02, -9.31948479e-07, -1.45611788e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 4.50802347e+01]])
fopt: 0.7883264436889486
fun: -0.788720451793382
message: 'Optimization terminated successfully.'
nfev: 602
nit: 6
status: 0
success: True
x: array([218.40196304, 1.00378942, 50.02749528])
xopt: array([218., 1., 50.])
zopt: array([218., 219., 269.])
*******************************************
Period: 15
direc: array([[1.24013037e-02, 3.16308092e-03, 1.00005814e+00],
[2.00323208e-02, 3.64637466e-03, 9.98429731e-01],
[1.13444301e+00, 1.97933730e-01, 5.65416776e+01]])
fopt: 0.7748846451394077
fun: -0.7754983939398633
message: 'Optimization terminated successfully.'
nfev: 986
nit: 9
status: 0
success: True
x: array([218.10001889, 2.22410646, 66.0429009 ])
xopt: array([218., 2., 66.])
zopt: array([218., 220., 286.])
*******************************************
Period: 16
direc: array([[ 2.09413695e-07, -1.81159037e+01, 2.00980049e+01],
[ 1.04197367e-08, 2.07274073e-19, 4.80414329e-11],
[ 2.00454812e-09, -1.73402913e-01, -3.70908812e+00]])
fopt: 0.7238588602457455
fun: -0.7817966492826683
message: 'Optimization terminated successfully.'
nfev: 653
nit: 6
status: 0
success: True
x: array([217.89063143, -15.06274869, 87.60886707])
xopt: array([217., 0., 87.])
zopt: array([217., 217., 304.])
*******************************************
Period: 17
direc: array([[ 0., 0., 0.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 0.40382527332736756
fun: -0.4027852471588712
message: 'Optimization terminated successfully.'
nfev: 277
nit: 3
status: 0
success: True
x: array([216.89789867, 2.15787473, 3. ])
xopt: array([216., 2., 3.])
zopt: array([216., 218., 221.])
*******************************************
Period: 18
direc: array([[2.27220997e-02, 1.05202533e-04, 1.05202533e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.50654158e-01, 3.47550272e-03, 1.32242298e+02]])
fopt: 0.7271277543738136
fun: -0.7270581069156685
message: 'Optimization terminated successfully.'
nfev: 398
nit: 5
status: 0
success: True
x: array([ 1.77021469e+02, -4.88879162e-02, 1.56049759e+02])
xopt: array([177., 0., 157.])
zopt: array([177., 177., 334.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -12.13547307, 12.0272056 ]])
fopt: 0.2796339030236019
fun: -0.2899057171136621
message: 'Optimization terminated successfully.'
nfev: 438
nit: 6
status: 0
success: True
x: array([218.66066902, -15.67028665, 18.07359855])
xopt: array([218., 0., 19.])
zopt: array([218., 218., 237.])
*******************************************
Period: 20
direc: array([[ 2.09300972e-02, 4.87300473e+00, 4.53069662e+00],
[-5.65237483e+01, 7.10395814e+01, 1.00985903e+02],
[ 1.27501249e-04, 5.40633777e+00, -2.88224743e-04]])
fopt: 0.8445029980095523
fun: -0.843347622094218
message: 'Optimization terminated successfully.'
nfev: 1297
nit: 14
status: 0
success: True
x: array([101.20586077, 106.001036 , 211.85236863])
xopt: array([101., 107., 211.])
zopt: array([101., 208., 419.])
*******************************************
Period: 21
direc: array([[ 5.42986265e-06, 2.50941379e-08, 5.70539070e-08],
[ 5.75954104e-04, 5.91116869e+00, 2.01144483e+02],
[-0.00000000e+00, -0.00000000e+00, -0.00000000e+00]])
fopt: 0.6661894932989322
fun: -0.6658208454495859
message: 'Optimization terminated successfully.'
nfev: 475
nit: 5
status: 0
success: True
x: array([196.62618375, 12.23761767, 220.20714469])
xopt: array([196., 13., 220.])
zopt: array([196., 209., 429.])
*******************************************
Period: 22
direc: array([[-1.15502137e-02, -4.39013433e-05, -4.16897599e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.09738154123664092
fun: -0.09692596936806606
message: 'Optimization terminated successfully.'
nfev: 436
nit: 5
status: 0
success: True
x: array([281.61911649, 2.00214663, 3.01287681])
xopt: array([281., 2., 4.])
zopt: array([281., 283., 287.])
*******************************************
Period: 23
direc: array([[ 0. , -2.1292691 , 2.12926914],
[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.18915655472435314
fun: -0.3091185936914599
message: 'Optimization terminated successfully.'
nfev: 362
nit: 5
status: 0
success: True
x: array([282.22245548, -79.71141467, 87.00321204])
xopt: array([282., 0., 88.])
zopt: array([282., 282., 370.])
*******************************************
Period: 24
direc: array([[5.05403005e-02, 1.79892480e-04, 1.79892480e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.32840741e-06, 1.46949208e-06, 2.65516912e-05]])
fopt: 0.1293103467238806
fun: -0.12753896550421903
message: 'Optimization terminated successfully.'
nfev: 406
nit: 4
status: 0
success: True
x: array([281.99666296, 2.05076539, 3.01020237])
xopt: array([281., 2., 4.])
zopt: array([281., 283., 287.])
*******************************************
Period: 25
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, -3.55623766e-09]])
fopt: 0.1513232137897096
fun: -0.1500387995895809
message: 'Optimization terminated successfully.'
nfev: 351
nit: 3
status: 0
success: True
x: array([282.83567975, 2. , 3.02411501])
xopt: array([282., 2., 4.])
zopt: array([282., 284., 288.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 140.05337725]])
fopt: 0.43400056088551825
fun: -0.4342951070674932
message: 'Optimization terminated successfully.'
nfev: 463
nit: 5
status: 0
success: True
x: array([282.51848118, 2.00121828, 145.00036439])
xopt: array([282., 2., 146.])
zopt: array([282., 284., 430.])
*******************************************
Period: 27
direc: array([[ 3.33614891e-03, 1.18252677e-05, 1.38707615e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -5.86138516e-03, 1.00000000e+00]])
fopt: 0.1691293008859489
fun: -0.16890056581041066
message: 'Optimization terminated successfully.'
nfev: 363
nit: 4
status: 0
success: True
x: array([283.12370704, 2.04367165, 5.17298942])
xopt: array([283., 2., 6.])
zopt: array([283., 285., 291.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.42215769e+02],
[ 0.00000000e+00, -8.17409523e-01, -3.70493115e-02]])
fopt: 0.39677557906110844
fun: -0.4932703689325961
message: 'Optimization terminated successfully.'
nfev: 491
nit: 6
status: 0
success: True
x: array([282.19003433, -25.44394079, 171.00097691])
xopt: array([282., 0., 171.])
zopt: array([282., 282., 453.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , -0.97652523, 1. ],
[ 0. , 0.10242407, -0.10288438]])
fopt: 0.28161751853676914
fun: -0.32506395297501883
message: 'Optimization terminated successfully.'
nfev: 631
nit: 9
status: 0
success: True
x: array([284.4244907 , -83.05264782, 85. ])
xopt: array([285., 0., 86.])
zopt: array([285., 285., 371.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpghp65n13.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjg37g1fa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9_m2mvz2.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9h1rwlj_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869633
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.314282e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3142822 2.31428 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.31428 0.869633
Optimal solution found (tolerance 1.00e-02)
Best objective 2.314282166625e+00, best bound 2.314282166625e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfgctlibm.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl4lre846.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49614
Presolve removed 116 rows and 84 columns
Presolve time: 0.00s
Presolved: 29 rows, 25 columns, 94 nonzeros
Variable types: 11 continuous, 14 integer (11 binary)
Root relaxation: objective 1.541402e+00, 12 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.5063573 1.50636 0.00% - 0s
Explored 0 nodes (13 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.50636 1.49614
Optimal solution found (tolerance 1.00e-02)
Best objective 1.506357277508e+00, best bound 1.506357277508e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqbw85mn0.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1tv3kdtr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.914853
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.611444e+00, 34 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61144 0 8 0.91485 1.61144 76.1% - 0s
H 0 0 1.4031502 1.61144 14.8% - 0s
0 0 cutoff 0 1.40315 1.40315 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 4
Flow cover: 2
Flow path: 1
Explored 1 nodes (42 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.40315 0.914853
Optimal solution found (tolerance 1.00e-02)
Best objective 1.403150246776e+00, best bound 1.403150246776e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplseio_yu.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9e7at9c7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911301
Presolve removed 121 rows and 82 columns
Presolve time: 0.00s
Presolved: 116 rows, 93 columns, 409 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 1.998033e+00, 66 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99803 0 4 0.91130 1.99803 119% - 0s
H 0 0 1.5196422 1.99803 31.5% - 0s
0 0 1.78451 0 1 1.51964 1.78451 17.4% - 0s
0 0 1.78451 0 2 1.51964 1.78451 17.4% - 0s
0 0 1.68251 0 2 1.51964 1.68251 10.7% - 0s
0 0 1.68031 0 2 1.51964 1.68031 10.6% - 0s
0 0 1.68031 0 2 1.51964 1.68031 10.6% - 0s
0 0 1.68031 0 1 1.51964 1.68031 10.6% - 0s
0 0 cutoff 0 1.51964 1.51964 0.00% - 0s
Cutting planes:
Implied bound: 1
Flow cover: 1
Explored 1 nodes (124 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.51964 0.911301
Optimal solution found (tolerance 1.00e-02)
Best objective 1.519642218251e+00, best bound 1.519642218251e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpupfjrp3f.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4f9ydanx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1138
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.839450e+00, 101 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.83945 0 6 1.11380 2.83945 155% - 0s
0 0 2.52621 0 12 1.11380 2.52621 127% - 0s
0 0 2.49028 0 12 1.11380 2.49028 124% - 0s
0 0 2.48213 0 13 1.11380 2.48213 123% - 0s
0 0 2.47762 0 13 1.11380 2.47762 122% - 0s
0 0 2.47762 0 13 1.11380 2.47762 122% - 0s
0 0 2.27898 0 16 1.11380 2.27898 105% - 0s
H 0 0 1.1472328 2.27898 98.7% - 0s
0 0 2.27898 0 16 1.14723 2.27898 98.7% - 0s
0 0 2.27898 0 16 1.14723 2.27898 98.7% - 0s
0 0 2.27898 0 16 1.14723 2.27898 98.7% - 0s
H 0 0 1.1541952 2.27898 97.5% - 0s
0 2 2.27898 0 11 1.15420 2.27898 97.5% - 0s
H 3 6 1.5241674 2.17948 43.0% 5.7 0s
H 9 4 1.5783013 1.82788 15.8% 5.1 0s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 8
Clique: 1
MIR: 2
Flow cover: 13
Explored 20 nodes (278 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.5783 1.52417 1.1542 ... 1.1138
Optimal solution found (tolerance 1.00e-02)
Best objective 1.578301335779e+00, best bound 1.578301335779e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnwz9a2ns.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxp_7_pgp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25987
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.636972e+00, 113 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.63697 0 8 1.25987 2.63697 109% - 0s
0 0 2.37394 0 17 1.25987 2.37394 88.4% - 0s
0 0 2.34430 0 21 1.25987 2.34430 86.1% - 0s
0 0 2.33012 0 22 1.25987 2.33012 84.9% - 0s
0 0 2.32295 0 22 1.25987 2.32295 84.4% - 0s
0 0 2.28497 0 22 1.25987 2.28497 81.4% - 0s
0 0 2.28070 0 22 1.25987 2.28070 81.0% - 0s
0 0 2.27501 0 22 1.25987 2.27501 80.6% - 0s
0 0 2.27501 0 22 1.25987 2.27501 80.6% - 0s
0 0 2.27501 0 17 1.25987 2.27501 80.6% - 0s
H 0 0 1.4435494 2.27501 57.6% - 0s
0 2 2.27501 0 17 1.44355 2.27501 57.6% - 0s
H 9 9 1.4482999 1.99594 37.8% 7.8 0s
H 9 9 1.4716662 1.99594 35.6% 7.8 0s
* 16 4 6 1.4792399 1.99594 34.9% 6.8 0s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 6
MIR: 3
Flow cover: 10
Explored 30 nodes (414 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.47924 1.47167 1.4483 ... 1.25987
Optimal solution found (tolerance 1.00e-02)
Best objective 1.479239862528e+00, best bound 1.479239862528e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsy_9n1fp.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbczjek0h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20551
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.641890e+00, 164 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.64189 0 9 1.20551 2.64189 119% - 0s
0 0 2.32786 0 23 1.20551 2.32786 93.1% - 0s
0 0 2.32520 0 23 1.20551 2.32520 92.9% - 0s
0 0 2.26201 0 23 1.20551 2.26201 87.6% - 0s
0 0 2.26126 0 23 1.20551 2.26126 87.6% - 0s
0 0 2.23931 0 25 1.20551 2.23931 85.8% - 0s
0 0 2.20852 0 23 1.20551 2.20852 83.2% - 0s
0 0 2.20544 0 23 1.20551 2.20544 82.9% - 0s
0 0 2.19206 0 21 1.20551 2.19206 81.8% - 0s
0 0 2.19161 0 22 1.20551 2.19161 81.8% - 0s
0 0 2.17860 0 23 1.20551 2.17860 80.7% - 0s
0 0 2.16619 0 23 1.20551 2.16619 79.7% - 0s
0 0 2.16619 0 24 1.20551 2.16619 79.7% - 0s
0 0 2.16579 0 25 1.20551 2.16579 79.7% - 0s
0 0 2.16579 0 21 1.20551 2.16579 79.7% - 0s
H 0 0 1.5062988 2.16579 43.8% - 0s
0 2 2.16579 0 21 1.50630 2.16579 43.8% - 0s
Cutting planes:
Gomory: 6
Cover: 3
Implied bound: 13
MIR: 3
Flow cover: 10
Explored 113 nodes (835 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.5063 1.20551
Optimal solution found (tolerance 1.00e-02)
Best objective 1.506298835754e+00, best bound 1.506298835754e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8s_vdlp0.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphooly01o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27653
Presolve removed 179 rows and 116 columns
Presolve time: 0.00s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.472141e+00, 158 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.47214 0 11 1.27653 2.47214 93.7% - 0s
0 0 2.21319 0 26 1.27653 2.21319 73.4% - 0s
0 0 2.21082 0 26 1.27653 2.21082 73.2% - 0s
0 0 2.16663 0 28 1.27653 2.16663 69.7% - 0s
0 0 2.16537 0 28 1.27653 2.16537 69.6% - 0s
0 0 2.15663 0 28 1.27653 2.15663 68.9% - 0s
0 0 2.13719 0 30 1.27653 2.13719 67.4% - 0s
0 0 2.13585 0 29 1.27653 2.13585 67.3% - 0s
0 0 2.13471 0 31 1.27653 2.13471 67.2% - 0s
0 0 2.13457 0 31 1.27653 2.13457 67.2% - 0s
0 0 2.13457 0 31 1.27653 2.13457 67.2% - 0s
0 2 2.13457 0 30 1.27653 2.13457 67.2% - 0s
H 29 21 1.3800017 1.85871 34.7% 5.9 0s
* 36 13 15 1.4005745 1.80247 28.7% 6.1 0s
* 64 18 14 1.4038323 1.58802 13.1% 5.3 0s
* 76 15 13 1.4070972 1.58802 12.9% 5.0 0s
Cutting planes:
Gomory: 4
Cover: 3
Implied bound: 10
MIR: 3
Flow cover: 17
Flow path: 1
Explored 112 nodes (818 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.4071 1.40383 1.40057 ... 1.27653
Optimal solution found (tolerance 1.00e-02)
Best objective 1.407097209038e+00, best bound 1.407097209038e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwy98efhe.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpka6_gza8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21927
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.319668e+00, 180 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.31967 0 13 1.21927 2.31967 90.3% - 0s
0 0 2.08019 0 33 1.21927 2.08019 70.6% - 0s
0 0 2.08019 0 33 1.21927 2.08019 70.6% - 0s
0 0 2.02910 0 27 1.21927 2.02910 66.4% - 0s
0 0 2.01119 0 33 1.21927 2.01119 65.0% - 0s
0 0 2.00694 0 32 1.21927 2.00694 64.6% - 0s
0 0 1.97779 0 34 1.21927 1.97779 62.2% - 0s
0 0 1.97385 0 34 1.21927 1.97385 61.9% - 0s
0 0 1.97209 0 34 1.21927 1.97209 61.7% - 0s
0 0 1.96761 0 34 1.21927 1.96761 61.4% - 0s
0 0 1.96761 0 35 1.21927 1.96761 61.4% - 0s
0 0 1.96761 0 35 1.21927 1.96761 61.4% - 0s
0 2 1.96761 0 35 1.21927 1.96761 61.4% - 0s
* 54 16 17 1.3068476 1.51679 16.1% 6.8 0s
* 81 19 14 1.3074708 1.50601 15.2% 6.8 0s
* 99 18 13 1.3192679 1.50601 14.2% 6.6 0s
* 113 18 15 1.3241260 1.50601 13.7% 7.0 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 12
MIR: 4
Flow cover: 14
Explored 133 nodes (1330 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.32413 1.31927 1.30747 ... 1.21927
Optimal solution found (tolerance 1.00e-02)
Best objective 1.324126040770e+00, best bound 1.324126040770e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjhu3xegp.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjqd9peh1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15757
Presolve removed 208 rows and 133 columns
Presolve time: 0.00s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.337582e+00, 209 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33758 0 14 1.15757 2.33758 102% - 0s
0 0 2.06311 0 35 1.15757 2.06311 78.2% - 0s
0 0 2.06111 0 36 1.15757 2.06111 78.1% - 0s
0 0 1.95766 0 25 1.15757 1.95766 69.1% - 0s
0 0 1.95340 0 25 1.15757 1.95340 68.7% - 0s
0 0 1.95274 0 25 1.15757 1.95274 68.7% - 0s
0 0 1.89272 0 24 1.15757 1.89272 63.5% - 0s
0 0 1.87426 0 25 1.15757 1.87426 61.9% - 0s
0 0 1.87280 0 24 1.15757 1.87280 61.8% - 0s
0 0 1.87102 0 28 1.15757 1.87102 61.6% - 0s
0 0 1.87089 0 27 1.15757 1.87089 61.6% - 0s
0 0 1.86844 0 26 1.15757 1.86844 61.4% - 0s
0 0 1.86844 0 26 1.15757 1.86844 61.4% - 0s
0 2 1.86844 0 22 1.15757 1.86844 61.4% - 0s
* 61 19 20 1.3314433 1.46283 9.87% 5.9 0s
* 108 2 16 1.3356827 1.38606 3.77% 6.1 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 12
MIR: 9
Flow cover: 23
Explored 115 nodes (1159 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.33568 1.33144 1.15757
Optimal solution found (tolerance 1.00e-02)
Best objective 1.335682713478e+00, best bound 1.335682713478e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3pi4td3a.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphevyn6ks.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21014
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.152035e+00, 225 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15204 0 17 1.21014 2.15204 77.8% - 0s
0 0 1.89705 0 37 1.21014 1.89705 56.8% - 0s
0 0 1.79924 0 34 1.21014 1.79924 48.7% - 0s
0 0 1.78964 0 34 1.21014 1.78964 47.9% - 0s
0 0 1.78615 0 35 1.21014 1.78615 47.6% - 0s
0 0 1.72672 0 28 1.21014 1.72672 42.7% - 0s
0 0 1.71902 0 29 1.21014 1.71902 42.1% - 0s
0 0 1.71875 0 31 1.21014 1.71875 42.0% - 0s
0 0 1.71875 0 33 1.21014 1.71875 42.0% - 0s
0 0 1.71875 0 33 1.21014 1.71875 42.0% - 0s
0 2 1.71875 0 33 1.21014 1.71875 42.0% - 0s
* 68 21 25 1.2205957 1.39547 14.3% 6.1 0s
* 138 14 21 1.2215470 1.27116 4.06% 6.3 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 10
MIR: 7
Flow cover: 30
Explored 168 nodes (1571 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22155 1.2206 1.21014
Optimal solution found (tolerance 1.00e-02)
Best objective 1.221546953616e+00, best bound 1.221546953616e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpia7g6las.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa573mz4c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11042
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.054534e+00, 288 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05453 0 18 1.11042 2.05453 85.0% - 0s
0 0 1.71531 0 36 1.11042 1.71531 54.5% - 0s
0 0 1.61227 0 35 1.11042 1.61227 45.2% - 0s
0 0 1.60780 0 36 1.11042 1.60780 44.8% - 0s
0 0 1.60456 0 37 1.11042 1.60456 44.5% - 0s
0 0 1.55527 0 39 1.11042 1.55527 40.1% - 0s
0 0 1.54798 0 40 1.11042 1.54798 39.4% - 0s
0 0 1.54661 0 41 1.11042 1.54661 39.3% - 0s
0 0 1.54650 0 41 1.11042 1.54650 39.3% - 0s
0 0 1.54650 0 41 1.11042 1.54650 39.3% - 0s
0 2 1.54650 0 41 1.11042 1.54650 39.3% - 0s
* 69 36 27 1.1207465 1.50106 33.9% 6.0 0s
* 153 53 25 1.1514586 1.37177 19.1% 6.3 0s
* 387 14 24 1.1541677 1.19943 3.92% 5.0 0s
* 449 0 23 1.1550458 1.18871 2.91% 4.8 0s
Cutting planes:
Gomory: 12
Cover: 4
Implied bound: 14
MIR: 9
Flow cover: 22
Inf proof: 1
Explored 472 nodes (2834 simplex iterations) in 0.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.15505 1.15417 1.15146 ... 1.11042
Optimal solution found (tolerance 1.00e-02)
Best objective 1.155045838151e+00, best bound 1.155045838151e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_514pxy6.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe3yfhu7x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03798
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.084351e+00, 305 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08435 0 21 1.03798 2.08435 101% - 0s
0 0 1.75109 0 30 1.03798 1.75109 68.7% - 0s
0 0 1.75109 0 30 1.03798 1.75109 68.7% - 0s
0 0 1.68533 0 34 1.03798 1.68533 62.4% - 0s
0 0 1.68144 0 34 1.03798 1.68144 62.0% - 0s
0 0 1.67844 0 35 1.03798 1.67844 61.7% - 0s
0 0 1.63869 0 33 1.03798 1.63869 57.9% - 0s
0 0 1.63335 0 35 1.03798 1.63335 57.4% - 0s
0 0 1.63335 0 35 1.03798 1.63335 57.4% - 0s
0 0 1.61328 0 36 1.03798 1.61328 55.4% - 0s
0 0 1.61217 0 36 1.03798 1.61217 55.3% - 0s
0 0 1.61128 0 37 1.03798 1.61128 55.2% - 0s
0 0 1.61128 0 30 1.03798 1.61128 55.2% - 0s
0 2 1.61128 0 30 1.03798 1.61128 55.2% - 0s
* 160 80 34 1.1096656 1.36031 22.6% 5.0 0s
* 547 116 29 1.1421788 1.29810 13.7% 4.8 0s
* 638 114 26 1.1458367 1.28380 12.0% 4.8 0s
* 755 105 31 1.1560362 1.27817 10.6% 4.8 0s
* 832 119 30 1.1586822 1.26032 8.77% 4.8 0s
* 1036 69 29 1.1622417 1.21396 4.45% 4.9 0s
* 1063 59 30 1.1646415 1.19743 2.82% 4.9 0s
Cutting planes:
Gomory: 14
Cover: 6
Implied bound: 19
Clique: 1
MIR: 7
Flow cover: 26
Flow path: 1
Inf proof: 20
Explored 1158 nodes (6328 simplex iterations) in 0.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.16464 1.16224 1.15868 ... 1.03798
Optimal solution found (tolerance 1.00e-02)
Best objective 1.164641490378e+00, best bound 1.164641490378e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx1mfy65h.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpga_elths.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0394
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.034835e+00, 313 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03484 0 24 1.03940 2.03484 95.8% - 0s
0 0 1.70180 0 37 1.03940 1.70180 63.7% - 0s
0 0 1.64918 0 43 1.03940 1.64918 58.7% - 0s
0 0 1.64876 0 43 1.03940 1.64876 58.6% - 0s
0 0 1.64876 0 43 1.03940 1.64876 58.6% - 0s
0 0 1.60054 0 38 1.03940 1.60054 54.0% - 0s
0 0 1.59722 0 44 1.03940 1.59722 53.7% - 0s
0 0 1.59579 0 46 1.03940 1.59579 53.5% - 0s
0 0 1.59579 0 46 1.03940 1.59579 53.5% - 0s
0 0 1.58227 0 41 1.03940 1.58227 52.2% - 0s
0 0 1.58017 0 41 1.03940 1.58017 52.0% - 0s
0 0 1.58011 0 40 1.03940 1.58011 52.0% - 0s
0 0 1.57428 0 36 1.03940 1.57428 51.5% - 0s
0 0 1.57427 0 39 1.03940 1.57427 51.5% - 0s
0 0 1.57311 0 42 1.03940 1.57311 51.3% - 0s
0 0 1.57311 0 42 1.03940 1.57311 51.3% - 0s
0 2 1.57311 0 39 1.03940 1.57311 51.3% - 0s
* 619 205 35 1.0921974 1.28520 17.7% 5.8 0s
* 1211 208 31 1.0983465 1.20777 10.0% 5.3 0s
* 1252 212 31 1.1028317 1.20777 9.52% 5.3 0s
* 1470 86 33 1.1122712 1.16068 4.35% 5.2 0s
* 1560 54 28 1.1209016 1.15272 2.84% 5.2 0s
* 1563 28 27 1.1317029 1.15272 1.86% 5.2 0s
Cutting planes:
Gomory: 16
Cover: 6
Implied bound: 25
MIR: 12
Flow cover: 38
Inf proof: 20
Explored 1729 nodes (9509 simplex iterations) in 0.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.1317 1.1209 1.11227 ... 1.0394
Optimal solution found (tolerance 1.00e-02)
Best objective 1.131702908411e+00, best bound 1.132208975449e+00, gap 0.0447%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo5wzxxv7.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0ndv_8ms.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0521
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.912666e+00, 370 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91267 0 27 1.05210 1.91267 81.8% - 0s
0 0 1.61304 0 44 1.05210 1.61304 53.3% - 0s
0 0 1.55635 0 49 1.05210 1.55635 47.9% - 0s
0 0 1.54914 0 47 1.05210 1.54914 47.2% - 0s
0 0 1.54652 0 48 1.05210 1.54652 47.0% - 0s
0 0 1.51302 0 48 1.05210 1.51302 43.8% - 0s
0 0 1.50617 0 53 1.05210 1.50617 43.2% - 0s
0 0 1.50567 0 52 1.05210 1.50567 43.1% - 0s
0 0 1.50567 0 54 1.05210 1.50567 43.1% - 0s
0 0 1.49647 0 52 1.05210 1.49647 42.2% - 0s
0 0 1.49646 0 53 1.05210 1.49646 42.2% - 0s
0 0 1.49645 0 53 1.05210 1.49645 42.2% - 0s
0 0 1.49645 0 46 1.05210 1.49645 42.2% - 0s
0 2 1.49645 0 46 1.05210 1.49645 42.2% - 0s
Cutting planes:
Gomory: 14
Cover: 5
Implied bound: 18
MIR: 9
Flow cover: 35
Inf proof: 17
Explored 1539 nodes (7941 simplex iterations) in 0.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.0521
Optimal solution found (tolerance 1.00e-02)
Best objective 1.052101297162e+00, best bound 1.059384833596e+00, gap 0.6923%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphm5wk8zo.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5e7q7syx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.96487
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.857176e+00, 416 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85718 0 29 0.96487 1.85718 92.5% - 0s
0 0 1.56740 0 47 0.96487 1.56740 62.4% - 0s
0 0 1.56740 0 45 0.96487 1.56740 62.4% - 0s
0 0 1.55217 0 54 0.96487 1.55217 60.9% - 0s
0 0 1.54786 0 55 0.96487 1.54786 60.4% - 0s
0 0 1.54539 0 56 0.96487 1.54539 60.2% - 0s
0 0 1.53490 0 51 0.96487 1.53490 59.1% - 0s
0 0 1.53115 0 53 0.96487 1.53115 58.7% - 0s
0 0 1.53046 0 52 0.96487 1.53046 58.6% - 0s
0 0 1.53045 0 51 0.96487 1.53045 58.6% - 0s
0 0 1.52782 0 52 0.96487 1.52782 58.3% - 0s
0 0 1.52719 0 50 0.96487 1.52719 58.3% - 0s
0 0 1.52710 0 52 0.96487 1.52710 58.3% - 0s
0 0 1.52669 0 53 0.96487 1.52669 58.2% - 0s
0 0 1.52669 0 53 0.96487 1.52669 58.2% - 0s
0 2 1.52669 0 53 0.96487 1.52669 58.2% - 0s
* 2238 426 49 0.9821330 1.07044 8.99% 5.9 1s
* 2383 394 38 0.9883332 1.06733 7.99% 5.9 1s
* 2751 278 41 0.9926851 1.04810 5.58% 5.9 1s
* 3029 107 48 0.9962969 1.02000 2.38% 6.0 1s
* 3111 64 47 0.9970251 1.00840 1.14% 6.0 1s
Cutting planes:
Gomory: 16
Cover: 27
Implied bound: 32
MIR: 15
Flow cover: 37
Flow path: 1
Inf proof: 46
Explored 3160 nodes (19685 simplex iterations) in 1.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.997025 0.996297 0.992685 ... 0.96487
Optimal solution found (tolerance 1.00e-02)
Best objective 9.970250968845e-01, best bound 9.997121492946e-01, gap 0.2695%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbton5niu.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmhz9kzfx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.926329
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.761462e+00, 446 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76146 0 32 0.92633 1.76146 90.2% - 0s
0 0 1.47722 0 50 0.92633 1.47722 59.5% - 0s
0 0 1.45986 0 61 0.92633 1.45986 57.6% - 0s
0 0 1.45662 0 63 0.92633 1.45662 57.2% - 0s
0 0 1.45429 0 64 0.92633 1.45429 57.0% - 0s
0 0 1.44005 0 60 0.92633 1.44005 55.5% - 0s
0 0 1.43663 0 63 0.92633 1.43663 55.1% - 0s
0 0 1.43518 0 57 0.92633 1.43518 54.9% - 0s
0 0 1.43518 0 58 0.92633 1.43518 54.9% - 0s
0 0 1.43241 0 53 0.92633 1.43241 54.6% - 0s
0 0 1.43225 0 54 0.92633 1.43225 54.6% - 0s
0 0 1.43191 0 54 0.92633 1.43191 54.6% - 0s
0 0 1.43191 0 54 0.92633 1.43191 54.6% - 0s
0 2 1.43191 0 54 0.92633 1.43191 54.6% - 0s
* 315 124 60 0.9303331 1.16697 25.4% 7.7 0s
Cutting planes:
Gomory: 18
Cover: 27
Implied bound: 37
MIR: 15
Flow cover: 44
Flow path: 2
Inf proof: 58
Explored 3931 nodes (24792 simplex iterations) in 1.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.930333 0.926329
Optimal solution found (tolerance 1.00e-02)
Best objective 9.303331404768e-01, best bound 9.395216496846e-01, gap 0.9877%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1ltla9w_.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxzwb_iiw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.831242
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.985063e+00, 484 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98506 0 36 0.83124 1.98506 139% - 0s
0 0 1.66920 0 59 0.83124 1.66920 101% - 0s
0 0 1.66918 0 59 0.83124 1.66918 101% - 0s
0 0 1.65534 0 70 0.83124 1.65534 99.1% - 0s
0 0 1.65212 0 69 0.83124 1.65212 98.8% - 0s
0 0 1.64991 0 70 0.83124 1.64991 98.5% - 0s
0 0 1.59216 0 71 0.83124 1.59216 91.5% - 0s
0 0 1.58924 0 75 0.83124 1.58924 91.2% - 0s
0 0 1.58793 0 73 0.83124 1.58793 91.0% - 0s
0 0 1.54644 0 72 0.83124 1.54644 86.0% - 0s
0 0 1.54634 0 71 0.83124 1.54634 86.0% - 0s
0 0 1.54537 0 71 0.83124 1.54537 85.9% - 0s
0 0 1.54537 0 56 0.83124 1.54537 85.9% - 0s
0 2 1.54537 0 56 0.83124 1.54537 85.9% - 0s
* 1724 605 41 0.8486330 1.21011 42.6% 8.7 2s
* 1935 531 47 0.8505388 1.13846 33.9% 8.6 2s
* 1989 478 39 0.8689185 1.10970 27.7% 8.6 2s
* 2078 402 42 0.8823236 1.01583 15.1% 8.6 2s
* 2353 294 38 0.8828452 0.96181 8.94% 8.5 2s
* 2383 227 44 0.8831865 0.96181 8.90% 8.4 2s
* 2405 190 44 0.8913081 0.96181 7.91% 8.4 2s
* 2415 164 39 0.8932382 0.96181 7.68% 8.4 2s
* 2432 135 38 0.8933873 0.96181 7.66% 8.4 2s
* 2555 30 40 0.8972822 0.90542 0.91% 8.3 2s
Cutting planes:
Gomory: 28
Cover: 12
Implied bound: 17
Projected implied bound: 12
Clique: 3
MIR: 11
Flow cover: 54
Flow path: 1
Inf proof: 20
Network: 1
Explored 2568 nodes (22185 simplex iterations) in 2.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.897282 0.893387 0.893238 ... 0.848633
Optimal solution found (tolerance 1.00e-02)
Best objective 8.972822071929e-01, best bound 9.046441745989e-01, gap 0.8205%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_d7esqdd.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyc4l46zo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.811829
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.949373e+00, 556 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94937 0 42 0.81183 1.94937 140% - 0s
0 0 1.63301 0 63 0.81183 1.63301 101% - 0s
0 0 1.63301 0 63 0.81183 1.63301 101% - 0s
0 0 1.62074 0 73 0.81183 1.62074 100% - 0s
0 0 1.61609 0 68 0.81183 1.61609 99.1% - 0s
0 0 1.61399 0 69 0.81183 1.61399 98.8% - 0s
0 0 1.59728 0 68 0.81183 1.59728 96.8% - 0s
0 0 1.59401 0 71 0.81183 1.59401 96.3% - 0s
0 0 1.59373 0 73 0.81183 1.59373 96.3% - 0s
0 0 1.59325 0 73 0.81183 1.59325 96.3% - 0s
0 0 1.59319 0 75 0.81183 1.59319 96.2% - 0s
0 0 1.58214 0 70 0.81183 1.58214 94.9% - 0s
0 0 1.58162 0 71 0.81183 1.58162 94.8% - 0s
0 0 1.58131 0 72 0.81183 1.58131 94.8% - 0s
0 0 1.58131 0 65 0.81183 1.58131 94.8% - 0s
0 2 1.58131 0 65 0.81183 1.58131 94.8% - 0s
* 2243 587 76 0.8288700 1.25718 51.7% 9.9 2s
* 2910 576 67 0.8360477 1.20682 44.3% 10.4 3s
* 3785 673 58 0.8645032 1.12946 30.6% 10.9 4s
* 4144 571 62 0.8673808 1.09624 26.4% 10.9 4s
* 4212 507 60 0.8915677 1.08883 22.1% 10.9 4s
* 4369 473 56 0.8961718 1.05685 17.9% 11.0 4s
4783 187 infeasible 44 0.89617 0.98021 9.38% 10.9 5s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 6
Implied bound: 26
Projected implied bound: 12
MIR: 16
Flow cover: 57
Flow path: 1
Inf proof: 51
Explored 5083 nodes (55131 simplex iterations) in 5.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.896172 0.891568 0.867381 ... 0.811829
Optimal solution found (tolerance 1.00e-02)
Best objective 8.961717762818e-01, best bound 9.009877411029e-01, gap 0.5374%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb9zaoqrr.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwv28glfl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.831704
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.885876e+00, 504 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88588 0 46 0.83170 1.88588 127% - 0s
0 0 1.57928 0 59 0.83170 1.57928 89.9% - 0s
0 0 1.57928 0 59 0.83170 1.57928 89.9% - 0s
0 0 1.56667 0 71 0.83170 1.56667 88.4% - 0s
0 0 1.56296 0 65 0.83170 1.56296 87.9% - 0s
0 0 1.56097 0 66 0.83170 1.56097 87.7% - 0s
0 0 1.54462 0 69 0.83170 1.54462 85.7% - 0s
0 0 1.53771 0 68 0.83170 1.53771 84.9% - 0s
0 0 1.53677 0 68 0.83170 1.53677 84.8% - 0s
0 0 1.52485 0 68 0.83170 1.52485 83.3% - 0s
0 0 1.52453 0 70 0.83170 1.52453 83.3% - 0s
0 0 1.52266 0 72 0.83170 1.52266 83.1% - 0s
0 0 1.52266 0 72 0.83170 1.52266 83.1% - 0s
0 2 1.52266 0 70 0.83170 1.52266 83.1% - 0s
H 1984 576 0.8331045 1.19288 43.2% 9.7 2s
* 3265 202 51 0.8472485 0.98639 16.4% 10.6 4s
H 3455 184 0.8571693 0.95120 11.0% 10.5 4s
* 3708 92 51 0.8606238 0.92590 7.58% 10.4 4s
* 3894 0 61 0.8629183 0.88736 2.83% 10.2 4s
Cutting planes:
Gomory: 33
Cover: 6
Implied bound: 30
Projected implied bound: 22
MIR: 7
Flow cover: 51
Inf proof: 33
Explored 3945 nodes (41103 simplex iterations) in 4.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.862918 0.860624 0.857169 ... 0.831704
Optimal solution found (tolerance 1.00e-02)
Best objective 8.629183020925e-01, best bound 8.633339622183e-01, gap 0.0482%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_5wgucpi.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1ekfi9ki.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.832715
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.824782e+00, 581 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82478 0 47 0.83271 1.82478 119% - 0s
0 0 1.54958 0 59 0.83271 1.54958 86.1% - 0s
0 0 1.54958 0 59 0.83271 1.54958 86.1% - 0s
0 0 1.51003 0 76 0.83271 1.51003 81.3% - 0s
0 0 1.50538 0 74 0.83271 1.50538 80.8% - 0s
0 0 1.50347 0 75 0.83271 1.50347 80.6% - 0s
0 0 1.47107 0 77 0.83271 1.47107 76.7% - 0s
0 0 1.46566 0 76 0.83271 1.46566 76.0% - 0s
0 0 1.46458 0 78 0.83271 1.46458 75.9% - 0s
0 0 1.46440 0 78 0.83271 1.46440 75.9% - 0s
0 0 1.44575 0 77 0.83271 1.44575 73.6% - 0s
0 0 1.44575 0 77 0.83271 1.44575 73.6% - 0s
0 0 1.44573 0 80 0.83271 1.44573 73.6% - 0s
0 0 1.44573 0 74 0.83271 1.44573 73.6% - 0s
0 2 1.44573 0 72 0.83271 1.44573 73.6% - 0s
* 4307 638 49 0.8461997 1.03414 22.2% 11.1 4s
Cutting planes:
Gomory: 29
Cover: 3
Implied bound: 33
Projected implied bound: 13
Clique: 1
MIR: 11
Flow cover: 44
Flow path: 2
Inf proof: 63
Explored 5465 nodes (57772 simplex iterations) in 4.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.8462 0.832715
Optimal solution found (tolerance 1.00e-02)
Best objective 8.461996889770e-01, best bound 8.461996889770e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph0qcbjt4.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg2ryphom.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829763
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.921398e+00, 568 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92140 0 47 0.82976 1.92140 132% - 0s
0 0 1.65970 0 70 0.82976 1.65970 100% - 0s
0 0 1.65929 0 70 0.82976 1.65929 100% - 0s
0 0 1.64859 0 84 0.82976 1.64859 98.7% - 0s
0 0 1.64460 0 81 0.82976 1.64460 98.2% - 0s
0 0 1.64248 0 84 0.82976 1.64248 97.9% - 0s
0 0 1.60285 0 89 0.82976 1.60285 93.2% - 0s
0 0 1.59850 0 88 0.82976 1.59850 92.6% - 0s
0 0 1.59831 0 89 0.82976 1.59831 92.6% - 0s
0 0 1.59001 0 87 0.82976 1.59001 91.6% - 0s
0 0 1.58913 0 87 0.82976 1.58913 91.5% - 0s
0 0 1.58879 0 90 0.82976 1.58879 91.5% - 0s
0 0 1.58873 0 88 0.82976 1.58873 91.5% - 0s
0 0 1.58873 0 66 0.82976 1.58873 91.5% - 0s
0 2 1.58873 0 65 0.82976 1.58873 91.5% - 0s
* 2540 653 83 0.8364765 1.15460 38.0% 11.2 3s
* 3889 692 75 0.8374336 1.02792 22.7% 10.3 4s
4736 379 0.90022 47 29 0.83743 0.93719 11.9% 9.9 5s
* 5131 211 64 0.8405680 0.89919 6.97% 10.0 5s
Cutting planes:
Gomory: 40
Cover: 7
Implied bound: 23
Projected implied bound: 37
Clique: 1
MIR: 17
Flow cover: 63
Flow path: 2
Inf proof: 29
Explored 5598 nodes (56520 simplex iterations) in 5.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.840568 0.837434 0.836477 0.829763
Optimal solution found (tolerance 1.00e-02)
Best objective 8.405679849665e-01, best bound 8.437959658781e-01, gap 0.3840%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa1lc162k.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuvcfqzxh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.834036
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.863441e+00, 597 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86344 0 50 0.83404 1.86344 123% - 0s
0 0 1.74053 0 80 0.83404 1.74053 109% - 0s
0 0 1.74013 0 77 0.83404 1.74013 109% - 0s
0 0 1.70501 0 87 0.83404 1.70501 104% - 0s
0 0 1.70178 0 86 0.83404 1.70178 104% - 0s
0 0 1.68427 0 98 0.83404 1.68427 102% - 0s
0 0 1.68097 0 96 0.83404 1.68097 102% - 0s
0 0 1.66735 0 95 0.83404 1.66735 100% - 0s
0 0 1.66320 0 95 0.83404 1.66320 99.4% - 0s
0 0 1.66240 0 98 0.83404 1.66240 99.3% - 0s
0 0 1.66189 0 98 0.83404 1.66189 99.3% - 0s
0 0 1.66152 0 100 0.83404 1.66152 99.2% - 0s
0 0 1.66150 0 101 0.83404 1.66150 99.2% - 0s
0 0 1.66056 0 102 0.83404 1.66056 99.1% - 0s
0 0 1.66056 0 102 0.83404 1.66056 99.1% - 0s
0 0 1.66056 0 102 0.83404 1.66056 99.1% - 0s
0 2 1.66056 0 102 0.83404 1.66056 99.1% - 0s
3350 754 0.84702 40 32 0.83404 1.08992 30.7% 13.0 5s
* 5192 230 53 0.8367283 0.88812 6.14% 11.6 6s
Cutting planes:
Gomory: 47
Cover: 7
Implied bound: 36
Projected implied bound: 51
Clique: 2
MIR: 21
Flow cover: 81
Flow path: 1
Inf proof: 55
Explored 5781 nodes (65874 simplex iterations) in 6.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.836728 0.834036
Optimal solution found (tolerance 1.00e-02)
Best objective 8.367283082169e-01, best bound 8.367283082169e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqxk2cmjq.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpijpq34wg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.828693
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.857414e+00, 631 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85741 0 48 0.82869 1.85741 124% - 0s
0 0 1.76577 0 76 0.82869 1.76577 113% - 0s
0 0 1.76540 0 75 0.82869 1.76540 113% - 0s
0 0 1.66091 0 89 0.82869 1.66091 100% - 0s
0 0 1.64782 0 85 0.82869 1.64782 98.8% - 0s
0 0 1.63561 0 97 0.82869 1.63561 97.4% - 0s
0 0 1.62599 0 94 0.82869 1.62599 96.2% - 0s
0 0 1.62565 0 94 0.82869 1.62565 96.2% - 0s
0 0 1.62557 0 95 0.82869 1.62557 96.2% - 0s
0 0 1.61853 0 97 0.82869 1.61853 95.3% - 0s
0 0 1.61810 0 100 0.82869 1.61810 95.3% - 0s
0 0 1.61810 0 100 0.82869 1.61810 95.3% - 0s
0 0 1.61700 0 84 0.82869 1.61700 95.1% - 0s
0 0 1.61685 0 94 0.82869 1.61685 95.1% - 0s
0 0 1.61668 0 96 0.82869 1.61668 95.1% - 0s
0 0 1.61666 0 97 0.82869 1.61666 95.1% - 0s
0 0 1.61665 0 96 0.82869 1.61665 95.1% - 0s
0 0 1.61665 0 82 0.82869 1.61665 95.1% - 0s
0 2 1.61665 0 81 0.82869 1.61665 95.1% - 0s
H 2736 704 0.8406292 1.15777 37.7% 15.3 4s
3019 759 0.96797 31 49 0.84063 1.13029 34.5% 15.5 5s
H 3959 668 0.8406292 1.02395 21.8% 15.0 6s
Cutting planes:
Gomory: 47
Cover: 7
Implied bound: 35
Projected implied bound: 45
MIR: 15
Flow cover: 93
Flow path: 4
Inf proof: 56
Network: 1
Explored 6545 nodes (81108 simplex iterations) in 7.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.840629 0.840629 0.828693
Optimal solution found (tolerance 1.00e-02)
Best objective 8.406292141258e-01, best bound 8.406292141258e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn73f8iay.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvuuvwg7e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.846493
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.818584e+00, 664 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81858 0 54 0.84649 1.81858 115% - 0s
0 0 1.71175 0 86 0.84649 1.71175 102% - 0s
0 0 1.71139 0 84 0.84649 1.71139 102% - 0s
0 0 1.59737 0 101 0.84649 1.59737 88.7% - 0s
0 0 1.59267 0 96 0.84649 1.59267 88.1% - 0s
0 0 1.59105 0 97 0.84649 1.59105 88.0% - 0s
0 0 1.57633 0 101 0.84649 1.57633 86.2% - 0s
0 0 1.57169 0 101 0.84649 1.57169 85.7% - 0s
0 0 1.57124 0 102 0.84649 1.57124 85.6% - 0s
0 0 1.57086 0 102 0.84649 1.57086 85.6% - 0s
0 0 1.57077 0 101 0.84649 1.57077 85.6% - 0s
0 0 1.56008 0 98 0.84649 1.56008 84.3% - 0s
0 0 1.55981 0 99 0.84649 1.55981 84.3% - 0s
0 0 1.55975 0 99 0.84649 1.55975 84.3% - 0s
0 0 1.55957 0 104 0.84649 1.55957 84.2% - 0s
0 0 1.55957 0 104 0.84649 1.55957 84.2% - 0s
0 2 1.55957 0 104 0.84649 1.55957 84.2% - 0s
* 2654 608 91 0.8483244 1.16696 37.6% 14.3 4s
3258 618 1.04278 32 54 0.84832 1.10991 30.8% 14.0 5s
* 3399 650 79 0.8483729 1.10295 30.0% 13.9 5s
* 4943 673 76 0.8483881 0.99748 17.6% 13.4 6s
* 5707 467 74 0.8509682 0.94626 11.2% 13.3 7s
* 5920 446 66 0.8518586 0.93615 9.90% 13.3 7s
* 5925 435 65 0.8539804 0.93615 9.62% 13.3 7s
* 6029 378 67 0.8554430 0.92840 8.53% 13.3 7s
* 6031 378 66 0.8554916 0.92840 8.52% 13.3 7s
* 6257 312 69 0.8578771 0.91584 6.76% 13.2 8s
Cutting planes:
Gomory: 39
Cover: 6
Implied bound: 37
Projected implied bound: 47
MIR: 26
Flow cover: 115
Flow path: 1
Inf proof: 72
Explored 7016 nodes (89990 simplex iterations) in 8.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.857877 0.855492 0.855443 ... 0.846493
Optimal solution found (tolerance 1.00e-02)
Best objective 8.578771041675e-01, best bound 8.612814629996e-01, gap 0.3968%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph4lox0ax.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp05e96r90.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.840259
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.751576e+00, 689 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75158 0 55 0.84026 1.75158 108% - 0s
0 0 1.64892 0 95 0.84026 1.64892 96.2% - 0s
0 0 1.64848 0 91 0.84026 1.64848 96.2% - 0s
0 0 1.62782 0 105 0.84026 1.62782 93.7% - 0s
0 0 1.62557 0 104 0.84026 1.62557 93.5% - 0s
0 0 1.60208 0 114 0.84026 1.60208 90.7% - 0s
0 0 1.59913 0 113 0.84026 1.59913 90.3% - 0s
0 0 1.58530 0 111 0.84026 1.58530 88.7% - 0s
0 0 1.58418 0 114 0.84026 1.58418 88.5% - 0s
0 0 1.58345 0 114 0.84026 1.58345 88.4% - 0s
0 0 1.58345 0 114 0.84026 1.58345 88.4% - 0s
0 0 1.58344 0 117 0.84026 1.58344 88.4% - 0s
0 0 1.58344 0 117 0.84026 1.58344 88.4% - 0s
0 0 1.58344 0 116 0.84026 1.58344 88.4% - 0s
0 0 1.58344 0 116 0.84026 1.58344 88.4% - 0s
0 2 1.58344 0 97 0.84026 1.58344 88.4% - 0s
3121 800 1.00355 33 41 0.84026 1.18521 41.1% 15.9 5s
H 3685 905 0.8405482 1.14793 36.6% 15.4 5s
H 4978 1005 0.8425931 1.06051 25.9% 14.7 7s
Cutting planes:
Learned: 1
Gomory: 27
Cover: 6
Implied bound: 46
Projected implied bound: 30
Clique: 1
MIR: 19
Flow cover: 65
Flow path: 2
Inf proof: 88
Explored 8440 nodes (101907 simplex iterations) in 9.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.842593 0.840548 0.840259
Optimal solution found (tolerance 1.00e-02)
Best objective 8.425930814438e-01, best bound 8.466844727051e-01, gap 0.4856%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb1xr7l_9.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwpbw05ns.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.823695
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.721904e+00, 698 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72190 0 52 0.82370 1.72190 109% - 0s
0 0 1.64124 0 91 0.82370 1.64124 99.3% - 0s
0 0 1.64090 0 90 0.82370 1.64090 99.2% - 0s
0 0 1.58673 0 102 0.82370 1.58673 92.6% - 0s
0 0 1.58360 0 97 0.82370 1.58360 92.3% - 0s
0 0 1.57200 0 98 0.82370 1.57200 90.8% - 0s
0 0 1.57025 0 97 0.82370 1.57025 90.6% - 0s
0 0 1.56106 0 90 0.82370 1.56106 89.5% - 0s
0 0 1.55717 0 95 0.82370 1.55717 89.0% - 0s
0 0 1.55650 0 95 0.82370 1.55650 89.0% - 0s
0 0 1.55584 0 96 0.82370 1.55584 88.9% - 0s
0 0 1.55535 0 97 0.82370 1.55535 88.8% - 0s
0 0 1.55529 0 102 0.82370 1.55529 88.8% - 0s
0 0 1.55286 0 103 0.82370 1.55286 88.5% - 0s
0 0 1.55280 0 104 0.82370 1.55280 88.5% - 0s
0 0 1.55280 0 105 0.82370 1.55280 88.5% - 0s
0 0 1.55280 0 105 0.82370 1.55280 88.5% - 0s
0 0 1.55280 0 93 0.82370 1.55280 88.5% - 0s
0 2 1.55280 0 93 0.82370 1.55280 88.5% - 0s
2287 493 1.02491 35 72 0.82370 1.12779 36.9% 16.3 5s
H 2855 698 0.8249668 1.10813 34.3% 15.8 5s
H 3375 757 0.8259111 1.08722 31.6% 16.3 6s
* 3853 792 78 0.8263148 1.06810 29.3% 16.3 7s
* 5558 793 66 0.8317674 0.93796 12.8% 15.0 9s
6538 395 infeasible 48 0.83177 0.88061 5.87% 14.1 10s
H 7040 85 0.8322102 0.84738 1.82% 13.7 10s
Cutting planes:
Gomory: 31
Cover: 4
Implied bound: 46
Projected implied bound: 49
MIR: 11
Flow cover: 95
Inf proof: 92
Explored 7184 nodes (99042 simplex iterations) in 10.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.83221 0.831767 0.826315 ... 0.823695
Optimal solution found (tolerance 1.00e-02)
Best objective 8.322102235197e-01, best bound 8.324597194021e-01, gap 0.0300%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkrqieiax.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphgy7pjvl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.82969
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.730788e+00, 790 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73079 0 56 0.82969 1.73079 109% - 0s
0 0 1.64776 0 91 0.82969 1.64776 98.6% - 0s
0 0 1.64744 0 88 0.82969 1.64744 98.6% - 0s
0 0 1.60486 0 97 0.82969 1.60486 93.4% - 0s
0 0 1.60431 0 93 0.82969 1.60431 93.4% - 0s
0 0 1.58502 0 98 0.82969 1.58502 91.0% - 0s
0 0 1.58277 0 92 0.82969 1.58277 90.8% - 0s
0 0 1.57693 0 95 0.82969 1.57693 90.1% - 0s
0 0 1.57325 0 99 0.82969 1.57325 89.6% - 0s
0 0 1.57082 0 94 0.82969 1.57082 89.3% - 0s
0 0 1.56991 0 95 0.82969 1.56991 89.2% - 0s
0 0 1.56600 0 99 0.82969 1.56600 88.7% - 0s
0 0 1.56598 0 97 0.82969 1.56598 88.7% - 0s
0 0 1.56598 0 97 0.82969 1.56598 88.7% - 0s
0 0 1.56598 0 97 0.82969 1.56598 88.7% - 0s
0 2 1.56598 0 86 0.82969 1.56598 88.7% - 0s
3650 1128 0.92096 50 60 0.82969 1.14802 38.4% 12.3 5s
H 4495 1320 0.8322058 1.12222 34.8% 11.9 5s
H 4530 1343 0.8322058 1.12222 34.8% 11.9 5s
H 7780 1342 0.8322058 0.97141 16.7% 11.4 8s
8855 1025 0.91386 47 41 0.83221 0.94175 13.2% 11.3 10s
Cutting planes:
Learned: 1
Gomory: 24
Cover: 3
Implied bound: 28
Projected implied bound: 41
MIR: 16
Flow cover: 89
Flow path: 2
Inf proof: 65
Explored 10701 nodes (116287 simplex iterations) in 11.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.832206 0.832206 0.832206 0.82969
Optimal solution found (tolerance 1.00e-02)
Best objective 8.322057956021e-01, best bound 8.322057956021e-01, gap 0.0000%
Run 2
Seed for training 478
Seed for simulation 152
direc: array([[-10.43321657, 0. , 9.07944529],
[ 0. , 1. , 0. ],
[ 0.20651372, 44.48414498, 44.23599777]])
fopt: 0.8023424571182259
fun: -0.8013626477079128
message: 'Optimization terminated successfully.'
nfev: 551
nit: 7
status: 0
success: True
x: array([137.41044224, 45.06393264, 199.34687348])
xopt: array([137., 45., 199.])
zopt: array([137., 182., 381.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnv7ew3ht.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_e9otcvt.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.802342
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.630815e+00, 707 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63081 0 64 0.80234 1.63081 103% - 0s
0 0 1.55848 0 78 0.80234 1.55848 94.2% - 0s
0 0 1.55848 0 78 0.80234 1.55848 94.2% - 0s
0 0 1.53293 0 85 0.80234 1.53293 91.1% - 0s
0 0 1.53280 0 87 0.80234 1.53280 91.0% - 0s
0 0 1.52999 0 91 0.80234 1.52999 90.7% - 0s
0 0 1.52999 0 89 0.80234 1.52999 90.7% - 0s
0 0 1.52975 0 93 0.80234 1.52975 90.7% - 0s
0 0 1.52975 0 91 0.80234 1.52975 90.7% - 0s
0 0 1.52974 0 95 0.80234 1.52974 90.7% - 0s
0 0 1.52974 0 74 0.80234 1.52974 90.7% - 0s
0 2 1.52974 0 71 0.80234 1.52974 90.7% - 0s
H 2276 669 0.8751592 1.33264 52.3% 13.1 3s
4143 999 infeasible 45 0.87516 1.21720 39.1% 12.2 5s
Cutting planes:
Learned: 1
Gomory: 11
Cover: 5
Implied bound: 10
Projected implied bound: 37
MIR: 13
Flow cover: 74
Inf proof: 78
Explored 8352 nodes (90287 simplex iterations) in 8.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.875159 0.802342
Optimal solution found (tolerance 0.00e+00)
Best objective 8.751592429477e-01, best bound 8.751592429477e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpim50th1c.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvb401ckg.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 397 rows and 296 columns
Presolve time: 0.00s
Presolved: 234 rows, 245 columns, 990 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.8537756e+02 2.847311e+03 0.000000e+00 0s
168 1.6683839e+01 0.000000e+00 0.000000e+00 0s
Solved in 168 iterations and 0.01 seconds
Optimal objective 1.668383856e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.71684868e-04, -8.73914762e-04, -1.57138547e-05]])
fopt: 1.3553597865657727
fun: -1.3649920720705635
message: 'Optimization terminated successfully.'
nfev: 213
nit: 3
status: 0
success: True
x: array([ 28.97568514, -86.99794976, -0.98281788])
xopt: array([29., 0., 0.])
zopt: array([29., 29., 29.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.48270596e-04, 1.74979781e-05, 7.60248120e-06]])
fopt: 1.5260815393484144
fun: -1.534544149641966
message: 'Optimization terminated successfully.'
nfev: 259
nit: 4
status: 0
success: True
x: array([ 5.33897800e+01, -9.93394812e-01, -3.38868781e-02])
xopt: array([53., 0., 0.])
zopt: array([53., 53., 53.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.36202216e-02, 4.39684285e-04, -0.00000000e+00],
[-1.13191420e-02, -7.73504014e-02, 0.00000000e+00]])
fopt: 1.602036450487455
fun: -1.6058939752044692
message: 'Optimization terminated successfully.'
nfev: 651
nit: 7
status: 0
success: True
x: array([73.00008004, -0.90641616, 1. ])
xopt: array([73., 0., 1.])
zopt: array([73., 73., 74.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.19979320e-03, -1.61457626e-04, -0.00000000e+00]])
fopt: 1.2873881870420998
fun: -1.2864824418313996
message: 'Optimization terminated successfully.'
nfev: 219
nit: 2
status: 0
success: True
x: array([73.68952699, 10.78175887, 1. ])
xopt: array([73., 11., 1.])
zopt: array([73., 84., 85.])
*******************************************
Period: 6
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2408: RuntimeWarning: overflow encountered in double_scalars w = xc + _gold * (xc - xb) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1979: RuntimeWarning: invalid value encountered in double_scalars deltax = a - x # do a golden section step
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1476
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0. , -0. , -0.00539848]])
fopt: 1.309891740607302
fun: -1.3181299909198587
message: 'Optimization terminated successfully.'
nfev: 351
nit: 4
status: 0
success: True
x: array([121.00207359, 1.01672363, 3.0646521 ])
xopt: array([121., 1., 3.])
zopt: array([121., 122., 125.])
*******************************************
Period: 8
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.2576413711643235
fun: -1.2618119300514423
message: 'Optimization terminated successfully.'
nfev: 282
nit: 3
status: 0
success: True
x: array([143.47423547, 1.00399672, 1.38196547])
xopt: array([143., 1., 1.])
zopt: array([143., 144., 145.])
*******************************************
Period: 9
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.1927946955244804
fun: -1.1941100709104795
message: 'Optimization terminated successfully.'
nfev: 252
nit: 2
status: 0
success: True
x: array([163.36756429, 1.00273368, 1. ])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 10
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.050221227585328
fun: -1.050588630969553
message: 'Optimization terminated successfully.'
nfev: 231
nit: 2
status: 0
success: True
x: array([163.92284923, 1.00799293, 1.00000265])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 11
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 2.22609884e-01, 4.00000000e+00],
[ 0.00000000e+00, -1.23155474e-03, 0.00000000e+00]])
fopt: 0.966595992159904
fun: -0.9699854318516986
message: 'Optimization terminated successfully.'
nfev: 528
nit: 7
status: 0
success: True
x: array([ 1.64106722e+02, -4.10619887e-02, 1.70000000e+01])
xopt: array([164., 0., 17.])
zopt: array([164., 164., 181.])
*******************************************
Period: 12
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 1., 1.]])
fopt: 0.796736653682983
fun: -0.7985127213073058
message: 'Optimization terminated successfully.'
nfev: 400
nit: 5
status: 0
success: True
x: array([163.94540535, 7.14589803, 7. ])
xopt: array([163., 7., 7.])
zopt: array([163., 170., 177.])
*******************************************
Period: 13
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.04607151e-02, 9.37983543e-06, 6.42903523e-05]])
fopt: 0.722967524278606
fun: -0.7231402334701037
message: 'Optimization terminated successfully.'
nfev: 358
nit: 3
status: 0
success: True
x: array([163.72095678, 1.14590723, 3.00006429])
xopt: array([163., 1., 4.])
zopt: array([163., 164., 168.])
*******************************************
Period: 14
direc: array([[2.98205321e-04, 1.84111131e-06, 3.78910923e-06],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 2.00000000e+00, 0.00000000e+00]])
fopt: 0.6246403838137147
fun: -0.6244824350272283
message: 'Optimization terminated successfully.'
nfev: 683
nit: 7
status: 0
success: True
x: array([162.9705819 , 14.00000184, 4.26229592])
xopt: array([162., 15., 5.])
zopt: array([162., 177., 182.])
*******************************************
Period: 15
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 9.77674186e-04, 7.95165250e-02],
[ 0.00000000e+00, 1.00000000e+00, -6.14932105e-10]])
fopt: 0.8232177670293823
fun: -0.8229652127273857
message: 'Optimization terminated successfully.'
nfev: 536
nit: 7
status: 0
success: True
x: array([162.72735056, 8.00206987, 84.5086099 ])
xopt: array([162., 9., 84.])
zopt: array([162., 171., 255.])
*******************************************
Period: 16
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-5.28454420e+01, -1.80857720e-01, 1.46716670e+02],
[ 2.55827914e-05, -5.18324035e-05, 0.00000000e+00]])
fopt: 0.7303537356387841
fun: -0.7298404791694044
message: 'Optimization terminated successfully.'
nfev: 720
nit: 8
status: 0
success: True
x: array([190.99811374, 1.00002489, 152.72899192])
xopt: array([190., 2., 152.])
zopt: array([190., 192., 344.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0.17979441, 57.07874397]])
fopt: 0.5243552279557185
fun: -0.5217366025407206
message: 'Optimization terminated successfully.'
nfev: 570
nit: 7
status: 0
success: True
x: array([246.64242874, 2.15247573, 62.01968152])
xopt: array([246., 2., 63.])
zopt: array([246., 248., 311.])
*******************************************
Period: 18
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 20.8992472 , 51.91383288]])
fopt: 0.4555255308821647
fun: -0.4531441551148235
message: 'Optimization terminated successfully.'
nfev: 412
nit: 6
status: 0
success: True
x: array([248.89842308, 23.02498668, 57.43523293])
xopt: array([248., 23., 58.])
zopt: array([248., 271., 329.])
*******************************************
Period: 19
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.14643910e-05, 9.28921466e-03]])
fopt: 0.4807617261502149
fun: -0.47930642118265665
message: 'Optimization terminated successfully.'
nfev: 329
nit: 4
status: 0
success: True
x: array([248.32743044, 3.09150172, 78.20663502])
xopt: array([248., 3., 78.])
zopt: array([248., 251., 329.])
*******************************************
Period: 20
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-16.57255212, 16.02076747, 10.68051164]])
fopt: 0.8797691029988406
fun: -0.8777301096014727
message: 'Optimization terminated successfully.'
nfev: 342
nit: 6
status: 0
success: True
x: array([ 80.02767074, 120.28844903, 129.76217823])
xopt: array([ 80., 120., 129.])
zopt: array([ 80., 200., 329.])
*******************************************
Period: 21
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-212.86363995, 207.14816754, 137.18421691]])
fopt: 0.8173471422642802
fun: -0.8154196189263998
message: 'Optimization terminated successfully.'
nfev: 436
nit: 6
status: 0
success: True
x: array([ 80. , 149.000014 , 142.18314771])
xopt: array([ 80., 149., 143.])
zopt: array([ 80., 229., 372.])
*******************************************
Period: 22
direc: array([[ -2.13528856, 20.19758842, 40.9627607 ],
[ 0. , 1. , 0. ],
[-10.00969631, 15.0145447 , 0. ]])
fopt: 0.8957920565330781
fun: -0.8951283185338159
message: 'Optimization terminated successfully.'
nfev: 889
nit: 12
status: 0
success: True
x: array([ 80.10217949, 111. , 190.05671165])
xopt: array([ 80., 111., 190.])
zopt: array([ 80., 191., 381.])
*******************************************
Period: 23
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.1395863733744691
fun: -0.1383563138850822
message: 'Optimization terminated successfully.'
nfev: 241
nit: 3
status: 0
success: True
x: array([322.8572033 , 3. , 3.05990834])
xopt: array([322., 3., 4.])
zopt: array([322., 325., 329.])
*******************************************
Period: 24
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.1946716075362436
fun: -0.19361159173949893
message: 'Optimization terminated successfully.'
nfev: 232
nit: 3
status: 0
success: True
x: array([323.99935702, 2.00118624, 3.00166687])
xopt: array([323., 2., 4.])
zopt: array([323., 325., 329.])
*******************************************
Period: 25
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.61040757e-03, -7.70839496e-03, 4.94420663e-03],
[ 1.45443112e-08, 2.11338319e-10, -2.75474531e-08]])
fopt: 0.2081170231272438
fun: -0.20813930499454386
message: 'Optimization terminated successfully.'
nfev: 530
nit: 5
status: 0
success: True
x: array([ 3.25646078e+02, -1.97663697e-01, 4.01154743e+00])
xopt: array([325., 0., 4.])
zopt: array([325., 325., 329.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.54366705e-11, -0.00000000e+00, 3.80261690e-16]])
fopt: 0.1968113717924853
fun: -0.19506651103532757
message: 'Optimization terminated successfully.'
nfev: 472
nit: 4
status: 0
success: True
x: array([326.95402232, 1.00000042, 1.00010918])
xopt: array([326., 1., 2.])
zopt: array([326., 327., 329.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.83748713e-04, -0.00000000e+00, -6.81395952e-13]])
fopt: 0.20108998061537803
fun: -0.1994545927627023
message: 'Optimization terminated successfully.'
nfev: 555
nit: 5
status: 0
success: True
x: array([324.9982879 , 2.00119674, 2. ])
xopt: array([324., 2., 3.])
zopt: array([324., 326., 329.])
*******************************************
Period: 28
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.19645145101070996
fun: -0.19397920496253385
message: 'Optimization terminated successfully.'
nfev: 289
nit: 3
status: 0
success: True
x: array([324.99906247, 2. , 2.00094276])
xopt: array([324., 2., 3.])
zopt: array([324., 326., 329.])
*******************************************
Period: 29
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.21386272775577628
fun: -0.21229929539368583
message: 'Optimization terminated successfully.'
nfev: 499
nit: 5
status: 0
success: True
x: array([324.99991896, 2.00000006, 2.01908723])
xopt: array([324., 2., 3.])
zopt: array([324., 326., 329.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe1vz81yx.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp65zoq7pp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoanf9ge1.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqqzkvaiy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2083
Presolve removed 93 rows and 71 columns
Presolve time: 0.00s
Presolved: 6 rows, 5 columns, 17 nonzeros
Variable types: 2 continuous, 3 integer (2 binary)
Root relaxation: objective 1.355360e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.3553598 1.35536 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35536 1.2083
Optimal solution found (tolerance 1.00e-02)
Best objective 1.355359786566e+00, best bound 1.355359786566e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi3zyr3me.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3qcsngsw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.756739
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 1.676997e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67700 0 6 0.75674 1.67700 122% - 0s
H 0 0 1.5260815 1.67700 9.89% - 0s
0 0 1.59677 0 1 1.52608 1.59677 4.63% - 0s
Cutting planes:
Gomory: 4
Flow cover: 2
Flow path: 1
Explored 1 nodes (32 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52608 0.756739
Optimal solution found (tolerance 1.00e-02)
Best objective 1.526081539348e+00, best bound 1.526081539348e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5cyt6u9t.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzbpu118u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.86079
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.921339e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92134 0 8 0.86079 1.92134 123% - 0s
H 0 0 1.6029859 1.92134 19.9% - 0s
0 0 1.68890 0 1 1.60299 1.68890 5.36% - 0s
0 0 cutoff 0 1.60299 1.60299 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (42 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.60299 0.86079
Optimal solution found (tolerance 1.00e-02)
Best objective 1.602985877942e+00, best bound 1.602985877942e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5h3xwdon.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprm31qsik.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2616
Presolve removed 174 rows and 123 columns
Presolve time: 0.00s
Presolved: 63 rows, 52 columns, 219 nonzeros
Variable types: 28 continuous, 24 integer (21 binary)
Root relaxation: objective 1.375451e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37545 0 6 1.26160 1.37545 9.02% - 0s
H 0 0 1.2881477 1.37545 6.78% - 0s
0 0 cutoff 0 1.28815 1.28815 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 1
Flow cover: 3
Explored 1 nodes (38 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.28815 1.2616
Optimal solution found (tolerance 1.00e-02)
Best objective 1.288147729006e+00, best bound 1.288147729006e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbn2fkh3i.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8nb3t8n2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97937
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.375413e+00, 98 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.37541 0 9 0.97937 2.37541 143% - 0s
0 0 2.16392 0 10 0.97937 2.16392 121% - 0s
0 0 2.16370 0 10 0.97937 2.16370 121% - 0s
0 0 2.06633 0 12 0.97937 2.06633 111% - 0s
0 0 2.02636 0 12 0.97937 2.02636 107% - 0s
0 0 2.02571 0 12 0.97937 2.02571 107% - 0s
0 0 1.96236 0 11 0.97937 1.96236 100% - 0s
0 0 1.93808 0 11 0.97937 1.93808 97.9% - 0s
0 0 1.87433 0 11 0.97937 1.87433 91.4% - 0s
0 0 1.87433 0 12 0.97937 1.87433 91.4% - 0s
0 0 1.87326 0 12 0.97937 1.87326 91.3% - 0s
0 0 1.87326 0 12 0.97937 1.87326 91.3% - 0s
0 2 1.87326 0 12 0.97937 1.87326 91.3% - 0s
H 8 6 1.4009945 1.58627 13.2% 6.5 0s
H 9 5 1.4531637 1.58627 9.16% 5.9 0s
Cutting planes:
Gomory: 5
Cover: 4
Implied bound: 5
MIR: 4
Flow cover: 8
Explored 27 nodes (333 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.45316 1.40099 0.97937
Optimal solution found (tolerance 1.00e-02)
Best objective 1.453163660716e+00, best bound 1.453163660716e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpndxuqm_q.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkx3x9opb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12506
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.394008e+00, 125 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.39401 0 11 1.12506 2.39401 113% - 0s
0 0 2.13174 0 10 1.12506 2.13174 89.5% - 0s
0 0 2.04630 0 11 1.12506 2.04630 81.9% - 0s
0 0 2.04405 0 12 1.12506 2.04405 81.7% - 0s
0 0 2.01680 0 12 1.12506 2.01680 79.3% - 0s
0 0 2.01535 0 12 1.12506 2.01535 79.1% - 0s
0 0 2.01289 0 14 1.12506 2.01289 78.9% - 0s
0 0 2.01253 0 14 1.12506 2.01253 78.9% - 0s
0 0 2.01232 0 14 1.12506 2.01232 78.9% - 0s
0 0 2.01232 0 14 1.12506 2.01232 78.9% - 0s
H 0 0 1.3181690 2.01232 52.7% - 0s
0 2 2.01232 0 14 1.31817 2.01232 52.7% - 0s
H 9 4 1.5085868 1.70047 12.7% 9.9 0s
Cutting planes:
Gomory: 6
Cover: 8
Implied bound: 8
MIR: 2
Flow cover: 13
Explored 41 nodes (463 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.50859 1.31817 1.12506
Optimal solution found (tolerance 1.00e-02)
Best objective 1.508586758351e+00, best bound 1.515312754423e+00, gap 0.4458%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr3ybfoze.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm0ef_j9f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22913
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.370545e+00, 146 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.37055 0 13 1.22913 2.37055 92.9% - 0s
0 0 2.24632 0 21 1.22913 2.24632 82.8% - 0s
0 0 2.24621 0 21 1.22913 2.24621 82.7% - 0s
0 0 2.16121 0 13 1.22913 2.16121 75.8% - 0s
0 0 2.04345 0 12 1.22913 2.04345 66.3% - 0s
0 0 1.96909 0 7 1.22913 1.96909 60.2% - 0s
0 0 1.96709 0 8 1.22913 1.96709 60.0% - 0s
0 0 1.96519 0 14 1.22913 1.96519 59.9% - 0s
0 0 1.96519 0 14 1.22913 1.96519 59.9% - 0s
0 0 1.95046 0 9 1.22913 1.95046 58.7% - 0s
0 0 1.94824 0 14 1.22913 1.94824 58.5% - 0s
0 0 1.94707 0 15 1.22913 1.94707 58.4% - 0s
0 0 1.94589 0 15 1.22913 1.94589 58.3% - 0s
0 0 1.94589 0 15 1.22913 1.94589 58.3% - 0s
H 0 0 1.2908258 1.94589 50.7% - 0s
H 0 0 1.3146203 1.94589 48.0% - 0s
0 2 1.94589 0 15 1.31462 1.94589 48.0% - 0s
* 43 11 13 1.5242111 1.74973 14.8% 5.7 0s
Cutting planes:
Gomory: 5
Cover: 4
Implied bound: 8
MIR: 7
Flow cover: 11
Flow path: 1
Explored 94 nodes (871 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.52421 1.31462 1.29083 1.22913
Optimal solution found (tolerance 1.00e-02)
Best objective 1.524211136751e+00, best bound 1.524211136751e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsxrqrhao.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7z4k7gso.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25429
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.378909e+00, 169 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.37891 0 14 1.25429 2.37891 89.7% - 0s
0 0 2.17087 0 13 1.25429 2.17087 73.1% - 0s
0 0 2.17059 0 13 1.25429 2.17059 73.1% - 0s
0 0 2.12667 0 17 1.25429 2.12667 69.6% - 0s
0 0 2.12652 0 17 1.25429 2.12652 69.5% - 0s
0 0 2.09941 0 16 1.25429 2.09941 67.4% - 0s
0 0 2.02396 0 15 1.25429 2.02396 61.4% - 0s
0 0 2.02396 0 15 1.25429 2.02396 61.4% - 0s
0 0 2.02303 0 16 1.25429 2.02303 61.3% - 0s
0 0 2.02223 0 16 1.25429 2.02223 61.2% - 0s
0 0 2.02210 0 16 1.25429 2.02210 61.2% - 0s
0 0 2.02027 0 16 1.25429 2.02027 61.1% - 0s
0 0 2.01518 0 18 1.25429 2.01518 60.7% - 0s
0 0 2.01262 0 19 1.25429 2.01262 60.5% - 0s
0 0 2.01262 0 19 1.25429 2.01262 60.5% - 0s
0 0 2.01262 0 17 1.25429 2.01262 60.5% - 0s
0 2 1.97444 0 16 1.25429 1.97444 57.4% - 0s
* 69 6 15 1.4935753 1.51177 1.22% 6.2 0s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 10
MIR: 3
Flow cover: 12
Explored 79 nodes (773 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.49358 1.25429
Optimal solution found (tolerance 1.00e-02)
Best objective 1.493575334378e+00, best bound 1.493575334378e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppfct6d2v.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqoi63lxr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32092
Presolve removed 194 rows and 125 columns
Presolve time: 0.00s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.152715e+00, 192 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15272 0 16 1.32092 2.15272 63.0% - 0s
0 0 1.94995 0 23 1.32092 1.94995 47.6% - 0s
0 0 1.94995 0 22 1.32092 1.94995 47.6% - 0s
0 0 1.87792 0 31 1.32092 1.87792 42.2% - 0s
0 0 1.87729 0 32 1.32092 1.87729 42.1% - 0s
0 0 1.87686 0 32 1.32092 1.87686 42.1% - 0s
0 0 1.84296 0 31 1.32092 1.84296 39.5% - 0s
0 0 1.83893 0 34 1.32092 1.83893 39.2% - 0s
0 0 1.83893 0 34 1.32092 1.83893 39.2% - 0s
0 0 1.83769 0 34 1.32092 1.83769 39.1% - 0s
0 0 1.83768 0 34 1.32092 1.83768 39.1% - 0s
0 0 1.83718 0 34 1.32092 1.83718 39.1% - 0s
0 0 1.83718 0 34 1.32092 1.83718 39.1% - 0s
0 2 1.83718 0 34 1.32092 1.83718 39.1% - 0s
* 44 7 16 1.3366123 1.46091 9.30% 9.8 0s
Cutting planes:
Gomory: 7
Cover: 6
Implied bound: 12
MIR: 3
Flow cover: 20
Flow path: 1
Explored 79 nodes (1066 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33661 1.32092
Optimal solution found (tolerance 1.00e-02)
Best objective 1.336612265739e+00, best bound 1.336612265739e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1sycx3y2.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptv4jzk77.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20379
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 1.999942e+00, 207 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99994 0 18 1.20379 1.99994 66.1% - 0s
0 0 1.85110 0 28 1.20379 1.85110 53.8% - 0s
0 0 1.85102 0 28 1.20379 1.85102 53.8% - 0s
0 0 1.72863 0 33 1.20379 1.72863 43.6% - 0s
0 0 1.72728 0 33 1.20379 1.72728 43.5% - 0s
0 0 1.72647 0 33 1.20379 1.72647 43.4% - 0s
0 0 1.68735 0 29 1.20379 1.68735 40.2% - 0s
0 0 1.67979 0 28 1.20379 1.67979 39.5% - 0s
0 0 1.67845 0 33 1.20379 1.67845 39.4% - 0s
0 0 1.67473 0 35 1.20379 1.67473 39.1% - 0s
0 0 1.67473 0 38 1.20379 1.67473 39.1% - 0s
0 0 1.67473 0 38 1.20379 1.67473 39.1% - 0s
0 0 1.67473 0 38 1.20379 1.67473 39.1% - 0s
0 2 1.67473 0 38 1.20379 1.67473 39.1% - 0s
H 33 12 1.2299141 1.39872 13.7% 8.1 0s
Cutting planes:
Gomory: 8
Cover: 3
Implied bound: 12
MIR: 5
Flow cover: 21
Flow path: 1
Explored 86 nodes (1044 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.22991 1.20379
Optimal solution found (tolerance 1.00e-02)
Best objective 1.229914144637e+00, best bound 1.229914144637e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj70likcd.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe7qlfo5w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05988
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.159553e+00, 224 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15955 0 21 1.05988 2.15955 104% - 0s
0 0 1.99616 0 36 1.05988 1.99616 88.3% - 0s
0 0 1.99608 0 36 1.05988 1.99608 88.3% - 0s
0 0 1.90066 0 42 1.05988 1.90066 79.3% - 0s
0 0 1.89594 0 45 1.05988 1.89594 78.9% - 0s
0 0 1.89585 0 44 1.05988 1.89585 78.9% - 0s
0 0 1.83557 0 45 1.05988 1.83557 73.2% - 0s
0 0 1.82663 0 38 1.05988 1.82663 72.3% - 0s
0 0 1.82533 0 47 1.05988 1.82533 72.2% - 0s
0 0 1.82533 0 48 1.05988 1.82533 72.2% - 0s
0 0 1.81951 0 49 1.05988 1.81951 71.7% - 0s
0 0 1.81809 0 49 1.05988 1.81809 71.5% - 0s
0 0 1.81754 0 49 1.05988 1.81754 71.5% - 0s
0 0 1.80279 0 48 1.05988 1.80279 70.1% - 0s
0 0 1.80235 0 47 1.05988 1.80235 70.1% - 0s
0 0 1.80235 0 46 1.05988 1.80235 70.1% - 0s
0 0 1.80235 0 46 1.05988 1.80235 70.1% - 0s
0 2 1.77980 0 45 1.05988 1.77980 67.9% - 0s
* 214 32 24 1.1406625 1.35773 19.0% 6.6 0s
* 230 33 27 1.1459856 1.34723 17.6% 6.5 0s
* 308 3 23 1.1459944 1.25163 9.22% 6.5 0s
* 312 1 27 1.1746314 1.25163 6.56% 6.4 0s
Cutting planes:
Gomory: 12
Cover: 3
Implied bound: 18
MIR: 8
Flow cover: 29
Flow path: 1
Inf proof: 4
Explored 358 nodes (2737 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.17463 1.14599 1.14599 ... 1.05988
Optimal solution found (tolerance 1.00e-02)
Best objective 1.174631350317e+00, best bound 1.174631350317e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl3usozcl.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps_61g3zn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0788
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 1.993319e+00, 273 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99332 0 24 1.07880 1.99332 84.8% - 0s
0 0 1.83684 0 39 1.07880 1.83684 70.3% - 0s
0 0 1.83674 0 39 1.07880 1.83674 70.3% - 0s
0 0 1.75940 0 40 1.07880 1.75940 63.1% - 0s
0 0 1.75936 0 40 1.07880 1.75936 63.1% - 0s
0 0 1.69481 0 41 1.07880 1.69481 57.1% - 0s
0 0 1.69461 0 42 1.07880 1.69461 57.1% - 0s
0 0 1.68955 0 48 1.07880 1.68955 56.6% - 0s
0 0 1.68729 0 44 1.07880 1.68729 56.4% - 0s
0 0 1.68572 0 44 1.07880 1.68572 56.3% - 0s
0 0 1.68119 0 43 1.07880 1.68119 55.8% - 0s
0 0 1.68075 0 43 1.07880 1.68075 55.8% - 0s
0 0 1.68075 0 43 1.07880 1.68075 55.8% - 0s
0 2 1.68075 0 43 1.07880 1.68075 55.8% - 0s
* 334 0 24 1.0797916 1.07979 0.00% 6.1 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 14
MIR: 3
Flow cover: 25
Flow path: 1
Inf proof: 1
Network: 1
Explored 335 nodes (2627 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.07979 1.0788
Optimal solution found (tolerance 1.00e-02)
Best objective 1.079791646013e+00, best bound 1.079791646013e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp365d7jfo.pyomo.lp
Reading time = 0.01 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp51_plibv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.971992
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.032562e+00, 372 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03256 0 27 0.97199 2.03256 109% - 0s
0 0 1.85289 0 29 0.97199 1.85289 90.6% - 0s
0 0 1.85272 0 29 0.97199 1.85272 90.6% - 0s
0 0 1.81781 0 36 0.97199 1.81781 87.0% - 0s
0 0 1.81737 0 32 0.97199 1.81737 87.0% - 0s
0 0 1.81552 0 31 0.97199 1.81552 86.8% - 0s
0 0 1.81454 0 33 0.97199 1.81454 86.7% - 0s
0 0 1.81454 0 33 0.97199 1.81454 86.7% - 0s
0 0 1.75744 0 30 0.97199 1.75744 80.8% - 0s
0 0 1.73859 0 32 0.97199 1.73859 78.9% - 0s
0 0 1.73835 0 32 0.97199 1.73835 78.8% - 0s
0 0 1.73790 0 33 0.97199 1.73790 78.8% - 0s
0 0 1.73729 0 33 0.97199 1.73729 78.7% - 0s
0 0 1.73720 0 32 0.97199 1.73720 78.7% - 0s
0 0 1.73720 0 32 0.97199 1.73720 78.7% - 0s
0 2 1.73720 0 27 0.97199 1.73720 78.7% - 0s
* 310 100 35 1.0692219 1.43242 34.0% 6.4 0s
* 1028 84 30 1.0807243 1.21881 12.8% 5.5 0s
* 1031 81 31 1.0842098 1.21881 12.4% 5.5 0s
Cutting planes:
Gomory: 11
Cover: 6
Implied bound: 22
MIR: 4
Flow cover: 27
Inf proof: 16
Explored 1182 nodes (7081 simplex iterations) in 0.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.08421 1.08072 1.06922 0.971992
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084209822892e+00, best bound 1.084606569548e+00, gap 0.0366%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptl29xbtt.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnso75v67.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.988642
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.970304e+00, 341 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97030 0 30 0.98864 1.97030 99.3% - 0s
0 0 1.81817 0 31 0.98864 1.81817 83.9% - 0s
0 0 1.81812 0 31 0.98864 1.81812 83.9% - 0s
0 0 1.73694 0 32 0.98864 1.73694 75.7% - 0s
0 0 1.73504 0 29 0.98864 1.73504 75.5% - 0s
0 0 1.73471 0 31 0.98864 1.73471 75.5% - 0s
0 0 1.73463 0 29 0.98864 1.73463 75.5% - 0s
0 0 1.70295 0 27 0.98864 1.70295 72.3% - 0s
0 0 1.69606 0 26 0.98864 1.69606 71.6% - 0s
0 0 1.69562 0 32 0.98864 1.69562 71.5% - 0s
0 0 1.69531 0 31 0.98864 1.69531 71.5% - 0s
0 0 1.69438 0 31 0.98864 1.69438 71.4% - 0s
0 0 1.69366 0 29 0.98864 1.69366 71.3% - 0s
0 0 1.69332 0 29 0.98864 1.69332 71.3% - 0s
0 0 1.69332 0 30 0.98864 1.69332 71.3% - 0s
0 0 1.69332 0 30 0.98864 1.69332 71.3% - 0s
0 2 1.69332 0 30 0.98864 1.69332 71.3% - 0s
* 714 162 42 1.0100131 1.31387 30.1% 5.7 0s
* 717 159 42 1.0359526 1.31387 26.8% 5.7 0s
* 718 159 42 1.0383245 1.31387 26.5% 5.7 0s
* 995 127 38 1.0604084 1.21102 14.2% 5.9 0s
* 1050 131 40 1.0635553 1.19099 12.0% 5.8 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 13
MIR: 9
Flow cover: 31
Flow path: 1
Inf proof: 15
Explored 1309 nodes (7951 simplex iterations) in 0.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.06356 1.06041 1.03832 ... 0.988642
Optimal solution found (tolerance 1.00e-02)
Best objective 1.063555313473e+00, best bound 1.063555313473e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2hlw87tz.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkpmq17ow.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.944168
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.035618e+00, 350 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03562 0 32 0.94417 2.03562 116% - 0s
0 0 1.88647 0 30 0.94417 1.88647 100% - 0s
0 0 1.82892 0 33 0.94417 1.82892 93.7% - 0s
0 0 1.80757 0 32 0.94417 1.80757 91.4% - 0s
0 0 1.80748 0 33 0.94417 1.80748 91.4% - 0s
0 0 1.78881 0 41 0.94417 1.78881 89.5% - 0s
0 0 1.78020 0 37 0.94417 1.78020 88.5% - 0s
0 0 1.77998 0 39 0.94417 1.77998 88.5% - 0s
0 0 1.77986 0 39 0.94417 1.77986 88.5% - 0s
0 0 1.77978 0 42 0.94417 1.77978 88.5% - 0s
0 0 1.77840 0 41 0.94417 1.77840 88.4% - 0s
0 0 1.77767 0 42 0.94417 1.77767 88.3% - 0s
0 0 1.77510 0 42 0.94417 1.77510 88.0% - 0s
0 0 1.77510 0 42 0.94417 1.77510 88.0% - 0s
0 0 1.77510 0 33 0.94417 1.77510 88.0% - 0s
0 2 1.75034 0 32 0.94417 1.75034 85.4% - 0s
* 246 132 40 1.0637719 1.50955 41.9% 7.7 0s
* 1608 23 38 1.0668926 1.11137 4.17% 6.3 0s
Cutting planes:
Gomory: 13
Cover: 4
Implied bound: 18
MIR: 9
Flow cover: 34
Inf proof: 19
Explored 1653 nodes (10931 simplex iterations) in 0.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.06689 1.06377 0.944168
Optimal solution found (tolerance 1.00e-02)
Best objective 1.066892595353e+00, best bound 1.066892595353e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpct09xn1f.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2axdjj4z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.969417
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.987543e+00, 483 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98754 0 34 0.96942 1.98754 105% - 0s
0 0 1.84432 0 30 0.96942 1.84432 90.3% - 0s
0 0 1.78123 0 43 0.96942 1.78123 83.7% - 0s
0 0 1.76029 0 39 0.96942 1.76029 81.6% - 0s
0 0 1.74673 0 43 0.96942 1.74673 80.2% - 0s
0 0 1.73834 0 41 0.96942 1.73834 79.3% - 0s
0 0 1.73814 0 39 0.96942 1.73814 79.3% - 0s
0 0 1.73802 0 43 0.96942 1.73802 79.3% - 0s
0 0 1.73217 0 42 0.96942 1.73217 78.7% - 0s
0 0 1.73170 0 40 0.96942 1.73170 78.6% - 0s
0 0 1.73170 0 40 0.96942 1.73170 78.6% - 0s
0 0 1.72615 0 42 0.96942 1.72615 78.1% - 0s
0 0 1.72607 0 45 0.96942 1.72607 78.1% - 0s
0 0 1.72591 0 42 0.96942 1.72591 78.0% - 0s
0 0 1.72591 0 37 0.96942 1.72591 78.0% - 0s
0 2 1.72591 0 37 0.96942 1.72591 78.0% - 0s
* 1249 270 49 1.0079219 1.32409 31.4% 6.3 0s
* 1502 224 43 1.0379660 1.26508 21.9% 6.3 0s
* 1600 226 44 1.0394458 1.23036 18.4% 6.2 0s
* 1982 160 43 1.0444115 1.17134 12.2% 6.4 0s
* 2004 158 42 1.0462623 1.16986 11.8% 6.5 0s
* 2006 157 42 1.0468414 1.16986 11.8% 6.5 0s
Cutting planes:
Gomory: 15
Cover: 16
Implied bound: 29
MIR: 14
Flow cover: 42
Inf proof: 36
Explored 2231 nodes (15678 simplex iterations) in 1.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.04684 1.04626 1.04441 ... 0.969417
Optimal solution found (tolerance 1.00e-02)
Best objective 1.046841420159e+00, best bound 1.054848241095e+00, gap 0.7649%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpns0ioamp.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbnzwzr3_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.952507
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.950692e+00, 442 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95069 0 38 0.95251 1.95069 105% - 0s
0 0 1.81109 0 32 0.95251 1.81109 90.1% - 0s
0 0 1.81109 0 32 0.95251 1.81109 90.1% - 0s
0 0 1.76163 0 43 0.95251 1.76163 84.9% - 0s
0 0 1.73756 0 43 0.95251 1.73756 82.4% - 0s
0 0 1.72191 0 52 0.95251 1.72191 80.8% - 0s
0 0 1.71350 0 47 0.95251 1.71350 79.9% - 0s
0 0 1.71278 0 46 0.95251 1.71278 79.8% - 0s
0 0 1.71252 0 46 0.95251 1.71252 79.8% - 0s
0 0 1.70393 0 45 0.95251 1.70393 78.9% - 0s
0 0 1.70203 0 42 0.95251 1.70203 78.7% - 0s
0 0 1.70179 0 46 0.95251 1.70179 78.7% - 0s
0 0 1.70142 0 44 0.95251 1.70142 78.6% - 0s
0 0 1.70142 0 44 0.95251 1.70142 78.6% - 0s
0 0 1.70139 0 44 0.95251 1.70139 78.6% - 0s
0 0 1.70139 0 44 0.95251 1.70139 78.6% - 0s
0 2 1.70139 0 40 0.95251 1.70139 78.6% - 0s
* 1460 252 46 0.9839821 1.26133 28.2% 6.6 0s
* 1582 251 46 1.0026934 1.26133 25.8% 6.4 0s
* 1716 226 45 1.0241092 1.15598 12.9% 6.3 0s
* 2073 125 43 1.0308642 1.08983 5.72% 6.2 1s
Cutting planes:
Gomory: 19
Cover: 9
Implied bound: 42
MIR: 14
Flow cover: 45
Inf proof: 28
Explored 2313 nodes (15182 simplex iterations) in 1.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.03086 1.02411 1.00269 ... 0.952507
Optimal solution found (tolerance 1.00e-02)
Best objective 1.030864155729e+00, best bound 1.031614515351e+00, gap 0.0728%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppieskqkb.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyt8756bl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.969907
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.846671e+00, 482 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84667 0 39 0.96991 1.84667 90.4% - 0s
0 0 1.71196 0 37 0.96991 1.71196 76.5% - 0s
0 0 1.71196 0 36 0.96991 1.71196 76.5% - 0s
0 0 1.65950 0 42 0.96991 1.65950 71.1% - 0s
0 0 1.63758 0 39 0.96991 1.63758 68.8% - 0s
0 0 1.62508 0 49 0.96991 1.62508 67.6% - 0s
0 0 1.61619 0 45 0.96991 1.61619 66.6% - 0s
0 0 1.61566 0 47 0.96991 1.61566 66.6% - 0s
0 0 1.60547 0 44 0.96991 1.60547 65.5% - 0s
0 0 1.60540 0 44 0.96991 1.60540 65.5% - 0s
0 0 1.60510 0 44 0.96991 1.60510 65.5% - 0s
0 0 1.60510 0 40 0.96991 1.60510 65.5% - 0s
0 2 1.60510 0 40 0.96991 1.60510 65.5% - 0s
Cutting planes:
Gomory: 18
Cover: 9
Implied bound: 26
MIR: 12
Flow cover: 44
Inf proof: 33
Explored 2257 nodes (15411 simplex iterations) in 1.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.969907
Optimal solution found (tolerance 1.00e-02)
Best objective 9.699065093834e-01, best bound 9.699065093834e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcbr26cg1.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpams_72do.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.897227
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.832025e+00, 497 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83203 0 45 0.89723 1.83203 104% - 0s
0 0 1.69623 0 49 0.89723 1.69623 89.1% - 0s
0 0 1.69614 0 48 0.89723 1.69614 89.0% - 0s
0 0 1.66199 0 55 0.89723 1.66199 85.2% - 0s
0 0 1.64905 0 50 0.89723 1.64905 83.8% - 0s
0 0 1.60733 0 59 0.89723 1.60733 79.1% - 0s
0 0 1.60014 0 51 0.89723 1.60014 78.3% - 0s
0 0 1.59983 0 51 0.89723 1.59983 78.3% - 0s
0 0 1.59940 0 56 0.89723 1.59940 78.3% - 0s
0 0 1.59939 0 56 0.89723 1.59939 78.3% - 0s
0 0 1.59939 0 57 0.89723 1.59939 78.3% - 0s
0 0 1.59939 0 57 0.89723 1.59939 78.3% - 0s
0 2 1.59939 0 52 0.89723 1.59939 78.3% - 0s
* 1747 512 52 0.9256602 1.19283 28.9% 7.7 1s
* 1849 469 60 0.9259782 1.19222 28.8% 7.5 2s
* 2040 401 49 0.9301935 1.10314 18.6% 7.5 2s
* 2251 313 50 0.9430908 1.04904 11.2% 7.4 2s
* 2341 244 51 0.9488191 1.03398 8.98% 7.5 2s
Cutting planes:
Learned: 2
Gomory: 38
Cover: 5
Implied bound: 14
Projected implied bound: 13
Clique: 1
MIR: 11
Flow cover: 37
Inf proof: 13
Explored 2540 nodes (19644 simplex iterations) in 2.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.948819 0.943091 0.930193 ... 0.897227
Optimal solution found (tolerance 1.00e-02)
Best objective 9.488191493042e-01, best bound 9.488191493042e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_8bzd18a.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbsr2tiof.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.877306
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.771204e+00, 536 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77120 0 49 0.87731 1.77120 102% - 0s
0 0 1.60797 0 50 0.87731 1.60797 83.3% - 0s
0 0 1.60794 0 51 0.87731 1.60794 83.3% - 0s
0 0 1.56106 0 55 0.87731 1.56106 77.9% - 0s
0 0 1.55975 0 58 0.87731 1.55975 77.8% - 0s
0 0 1.55907 0 55 0.87731 1.55907 77.7% - 0s
0 0 1.55907 0 55 0.87731 1.55907 77.7% - 0s
0 0 1.55248 0 60 0.87731 1.55248 77.0% - 0s
0 0 1.55241 0 57 0.87731 1.55241 77.0% - 0s
0 0 1.54874 0 63 0.87731 1.54874 76.5% - 0s
0 0 1.54874 0 63 0.87731 1.54874 76.5% - 0s
0 0 1.53648 0 54 0.87731 1.53648 75.1% - 0s
0 0 1.53175 0 60 0.87731 1.53175 74.6% - 0s
0 0 1.53107 0 60 0.87731 1.53107 74.5% - 0s
0 0 1.53082 0 60 0.87731 1.53082 74.5% - 0s
0 0 1.52291 0 52 0.87731 1.52291 73.6% - 0s
0 0 1.52182 0 60 0.87731 1.52182 73.5% - 0s
0 0 1.52182 0 60 0.87731 1.52182 73.5% - 0s
0 0 1.52182 0 60 0.87731 1.52182 73.5% - 0s
0 0 1.52182 0 55 0.87731 1.52182 73.5% - 0s
0 2 1.52182 0 55 0.87731 1.52182 73.5% - 0s
* 647 301 74 0.8857699 1.26425 42.7% 7.5 0s
* 2205 566 39 0.8978708 1.06234 18.3% 7.5 2s
* 2346 480 41 0.9025960 1.03939 15.2% 7.5 2s
* 2894 269 47 0.9058570 0.97624 7.77% 7.3 2s
* 3227 37 39 0.9074882 0.94280 3.89% 7.4 2s
Cutting planes:
Learned: 5
Gomory: 29
Cover: 5
Implied bound: 14
Projected implied bound: 6
Clique: 9
MIR: 9
Flow cover: 32
Flow path: 1
Inf proof: 14
Explored 3305 nodes (25451 simplex iterations) in 2.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.907488 0.905857 0.902596 ... 0.877306
Optimal solution found (tolerance 1.00e-02)
Best objective 9.074882162151e-01, best bound 9.074882162151e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_um1hi8m.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpofpr0tfe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899287
Presolve removed 351 rows and 221 columns
Presolve time: 0.01s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.742730e+00, 605 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74273 0 42 0.89929 1.74273 93.8% - 0s
0 0 1.71921 0 54 0.89929 1.71921 91.2% - 0s
0 0 1.71910 0 54 0.89929 1.71910 91.2% - 0s
0 0 1.67549 0 62 0.89929 1.67549 86.3% - 0s
0 0 1.66624 0 59 0.89929 1.66624 85.3% - 0s
0 0 1.62753 0 64 0.89929 1.62753 81.0% - 0s
0 0 1.62127 0 59 0.89929 1.62127 80.3% - 0s
0 0 1.61805 0 63 0.89929 1.61805 79.9% - 0s
0 0 1.61787 0 65 0.89929 1.61787 79.9% - 0s
0 0 1.61778 0 64 0.89929 1.61778 79.9% - 0s
0 0 1.61701 0 64 0.89929 1.61701 79.8% - 0s
0 0 1.61701 0 55 0.89929 1.61701 79.8% - 0s
0 2 1.61701 0 54 0.89929 1.61701 79.8% - 0s
* 1703 401 56 0.9007307 1.17629 30.6% 8.1 1s
Cutting planes:
Gomory: 5
Cover: 7
Implied bound: 30
MIR: 13
Flow cover: 48
Inf proof: 46
Network: 1
Explored 3828 nodes (27744 simplex iterations) in 1.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.900731 0.899287
Optimal solution found (tolerance 1.00e-02)
Best objective 9.007307232260e-01, best bound 9.078675505421e-01, gap 0.7923%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdefv2vwf.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprv6zlt6f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.872857
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.684264e+00, 652 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68426 0 44 0.87286 1.68426 93.0% - 0s
0 0 1.58855 0 58 0.87286 1.58855 82.0% - 0s
0 0 1.58843 0 58 0.87286 1.58843 82.0% - 0s
0 0 1.57241 0 63 0.87286 1.57241 80.1% - 0s
0 0 1.57000 0 63 0.87286 1.57000 79.9% - 0s
0 0 1.51149 0 65 0.87286 1.51149 73.2% - 0s
0 0 1.50348 0 68 0.87286 1.50348 72.2% - 0s
0 0 1.50100 0 70 0.87286 1.50100 72.0% - 0s
0 0 1.50006 0 71 0.87286 1.50006 71.9% - 0s
0 0 1.49183 0 77 0.87286 1.49183 70.9% - 0s
0 0 1.49129 0 81 0.87286 1.49129 70.9% - 0s
0 0 1.49106 0 78 0.87286 1.49106 70.8% - 0s
0 0 1.49106 0 78 0.87286 1.49106 70.8% - 0s
0 0 1.49075 0 75 0.87286 1.49075 70.8% - 0s
0 0 1.49063 0 75 0.87286 1.49063 70.8% - 0s
0 0 1.49063 0 74 0.87286 1.49063 70.8% - 0s
0 0 1.49063 0 80 0.87286 1.49063 70.8% - 0s
0 0 1.49063 0 80 0.87286 1.49063 70.8% - 0s
0 2 1.49063 0 80 0.87286 1.49063 70.8% - 0s
* 1399 525 71 0.8732862 1.16298 33.2% 11.4 2s
Cutting planes:
Learned: 1
Gomory: 36
Cover: 6
Implied bound: 22
Projected implied bound: 42
MIR: 15
Flow cover: 59
Flow path: 1
Inf proof: 10
Explored 2932 nodes (32878 simplex iterations) in 3.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.873286 0.872857
Optimal solution found (tolerance 1.00e-02)
Best objective 8.732861749868e-01, best bound 8.732861749868e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp80o5yh8k.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx9__sk78.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895869
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.729343e+00, 709 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72934 0 50 0.89587 1.72934 93.0% - 0s
0 0 1.67696 0 68 0.89587 1.67696 87.2% - 0s
0 0 1.67469 0 65 0.89587 1.67469 86.9% - 0s
0 0 1.63059 0 68 0.89587 1.63059 82.0% - 0s
0 0 1.62269 0 70 0.89587 1.62269 81.1% - 0s
0 0 1.58836 0 76 0.89587 1.58836 77.3% - 0s
0 0 1.58056 0 73 0.89587 1.58056 76.4% - 0s
0 0 1.57440 0 77 0.89587 1.57440 75.7% - 0s
0 0 1.57122 0 75 0.89587 1.57122 75.4% - 0s
0 0 1.56977 0 83 0.89587 1.56977 75.2% - 0s
0 0 1.56670 0 80 0.89587 1.56670 74.9% - 0s
0 0 1.56415 0 81 0.89587 1.56415 74.6% - 0s
0 0 1.56392 0 80 0.89587 1.56392 74.6% - 0s
0 0 1.56386 0 80 0.89587 1.56386 74.6% - 0s
0 0 1.56386 0 80 0.89587 1.56386 74.6% - 0s
0 0 1.56386 0 80 0.89587 1.56386 74.6% - 0s
0 2 1.56386 0 80 0.89587 1.56386 74.6% - 0s
* 2847 284 56 0.8991221 1.00286 11.5% 11.4 3s
* 3095 200 64 0.9034028 0.96702 7.04% 11.3 3s
Cutting planes:
Learned: 1
Gomory: 44
Cover: 2
Implied bound: 17
Projected implied bound: 26
MIR: 10
Flow cover: 68
Flow path: 1
Inf proof: 27
Explored 3556 nodes (40684 simplex iterations) in 4.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.903403 0.899122 0.895869
Optimal solution found (tolerance 1.00e-02)
Best objective 9.034028411197e-01, best bound 9.034028411197e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptq8dsee9.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmqrfpca9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895762
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.703620e+00, 650 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70362 0 52 0.89576 1.70362 90.2% - 0s
0 0 1.65020 0 65 0.89576 1.65020 84.2% - 0s
0 0 1.65020 0 64 0.89576 1.65020 84.2% - 0s
0 0 1.59678 0 69 0.89576 1.59678 78.3% - 0s
0 0 1.57615 0 71 0.89576 1.57615 76.0% - 0s
0 0 1.55312 0 84 0.89576 1.55312 73.4% - 0s
0 0 1.54791 0 83 0.89576 1.54791 72.8% - 0s
0 0 1.54733 0 83 0.89576 1.54733 72.7% - 0s
0 0 1.54731 0 84 0.89576 1.54731 72.7% - 0s
0 0 1.54509 0 85 0.89576 1.54509 72.5% - 0s
0 0 1.54507 0 85 0.89576 1.54507 72.5% - 0s
0 0 1.54504 0 84 0.89576 1.54504 72.5% - 0s
0 0 1.54504 0 85 0.89576 1.54504 72.5% - 0s
0 0 1.54504 0 85 0.89576 1.54504 72.5% - 0s
0 2 1.54504 0 75 0.89576 1.54504 72.5% - 0s
* 2655 535 78 0.8964341 1.11439 24.3% 9.9 3s
4371 442 cutoff 40 0.89643 1.00645 12.3% 11.0 5s
Cutting planes:
Gomory: 20
Cover: 4
Implied bound: 16
Projected implied bound: 34
MIR: 19
Flow cover: 63
Flow path: 1
Inf proof: 52
Explored 5774 nodes (65641 simplex iterations) in 6.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.896434 0.895762
Optimal solution found (tolerance 1.00e-02)
Best objective 8.964341390359e-01, best bound 8.964341390359e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpimf8m6ww.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzy15kmtq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870971
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.719412e+00, 670 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71941 0 49 0.87097 1.71941 97.4% - 0s
0 0 1.66918 0 67 0.87097 1.66918 91.6% - 0s
0 0 1.66910 0 66 0.87097 1.66910 91.6% - 0s
0 0 1.64151 0 69 0.87097 1.64151 88.5% - 0s
0 0 1.63250 0 67 0.87097 1.63250 87.4% - 0s
0 0 1.59888 0 80 0.87097 1.59888 83.6% - 0s
0 0 1.59298 0 78 0.87097 1.59298 82.9% - 0s
0 0 1.59023 0 79 0.87097 1.59023 82.6% - 0s
0 0 1.59023 0 79 0.87097 1.59023 82.6% - 0s
0 0 1.58795 0 78 0.87097 1.58795 82.3% - 0s
0 0 1.58723 0 78 0.87097 1.58723 82.2% - 0s
0 0 1.58703 0 77 0.87097 1.58703 82.2% - 0s
0 0 1.58703 0 77 0.87097 1.58703 82.2% - 0s
0 0 1.58703 0 68 0.87097 1.58703 82.2% - 0s
0 2 1.58703 0 68 0.87097 1.58703 82.2% - 0s
* 6608 898 55 0.8736940 0.99131 13.5% 8.9 4s
7000 746 0.97095 41 33 0.87369 0.97106 11.1% 8.9 5s
* 7327 691 61 0.8751345 0.96223 10.0% 8.8 5s
* 7481 651 65 0.8760530 0.96039 9.63% 8.7 5s
* 8617 60 62 0.8765573 0.89489 2.09% 8.4 6s
* 8665 67 69 0.8770758 0.89227 1.73% 8.4 6s
* 8741 0 68 0.8779702 0.88749 1.08% 8.3 6s
Cutting planes:
Learned: 2
Gomory: 3
Cover: 3
Implied bound: 18
MIR: 2
Flow cover: 16
Inf proof: 3
Explored 8806 nodes (74568 simplex iterations) in 6.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.87797 0.877076 0.876557 ... 0.870971
Optimal solution found (tolerance 1.00e-02)
Best objective 8.779702226250e-01, best bound 8.815783281027e-01, gap 0.4110%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp__durpra.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5nnq8vb2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853381
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.664542e+00, 698 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66454 0 52 0.85338 1.66454 95.1% - 0s
0 0 1.59533 0 66 0.85338 1.59533 86.9% - 0s
0 0 1.59526 0 65 0.85338 1.59526 86.9% - 0s
0 0 1.54049 0 82 0.85338 1.54049 80.5% - 0s
0 0 1.53211 0 78 0.85338 1.53211 79.5% - 0s
0 0 1.50208 0 88 0.85338 1.50208 76.0% - 0s
0 0 1.49674 0 82 0.85338 1.49674 75.4% - 0s
0 0 1.49344 0 89 0.85338 1.49344 75.0% - 0s
0 0 1.49237 0 87 0.85338 1.49237 74.9% - 0s
0 0 1.49052 0 90 0.85338 1.49052 74.7% - 0s
0 0 1.48713 0 87 0.85338 1.48713 74.3% - 0s
0 0 1.48688 0 89 0.85338 1.48688 74.2% - 0s
0 0 1.48687 0 89 0.85338 1.48687 74.2% - 0s
0 0 1.48687 0 88 0.85338 1.48687 74.2% - 0s
0 0 1.48687 0 88 0.85338 1.48687 74.2% - 0s
0 2 1.48687 0 88 0.85338 1.48687 74.2% - 0s
* 1810 453 91 0.8533806 1.05551 23.7% 12.3 3s
3482 589 infeasible 47 0.85338 0.95163 11.5% 11.3 5s
Cutting planes:
Learned: 3
Gomory: 26
Cover: 3
Implied bound: 29
Projected implied bound: 45
MIR: 15
Flow cover: 82
Inf proof: 46
Explored 5948 nodes (66987 simplex iterations) in 6.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.853381 0.853381
Optimal solution found (tolerance 1.00e-02)
Best objective 8.533806219058e-01, best bound 8.543441826564e-01, gap 0.1129%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa2xyeu3b.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbko7ljbh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.827135
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.604265e+00, 716 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60426 0 53 0.82713 1.60426 94.0% - 0s
0 0 1.53453 0 62 0.82713 1.53453 85.5% - 0s
0 0 1.53453 0 61 0.82713 1.53453 85.5% - 0s
0 0 1.49123 0 76 0.82713 1.49123 80.3% - 0s
0 0 1.47878 0 73 0.82713 1.47878 78.8% - 0s
0 0 1.46721 0 80 0.82713 1.46721 77.4% - 0s
0 0 1.46051 0 81 0.82713 1.46051 76.6% - 0s
0 0 1.45985 0 77 0.82713 1.45985 76.5% - 0s
0 0 1.45858 0 80 0.82713 1.45858 76.3% - 0s
0 0 1.45167 0 81 0.82713 1.45167 75.5% - 0s
0 0 1.45153 0 75 0.82713 1.45153 75.5% - 0s
0 0 1.45132 0 75 0.82713 1.45132 75.5% - 0s
0 0 1.45132 0 75 0.82713 1.45132 75.5% - 0s
0 2 1.45132 0 72 0.82713 1.45132 75.5% - 0s
3102 377 0.88711 36 55 0.82713 1.00263 21.2% 15.0 5s
Cutting planes:
Learned: 1
Gomory: 44
Cover: 5
Implied bound: 22
Projected implied bound: 40
Clique: 1
MIR: 16
Flow cover: 88
Inf proof: 72
Explored 6702 nodes (87902 simplex iterations) in 8.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.827135
Optimal solution found (tolerance 1.00e-02)
Best objective 8.271349239275e-01, best bound 8.330976132513e-01, gap 0.7209%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwu_58v6p.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe1azncnl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.832969
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.654007e+00, 857 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65401 0 60 0.83297 1.65401 98.6% - 0s
0 0 1.61449 0 72 0.83297 1.61449 93.8% - 0s
0 0 1.61444 0 71 0.83297 1.61444 93.8% - 0s
0 0 1.51769 0 91 0.83297 1.51769 82.2% - 0s
0 0 1.51397 0 83 0.83297 1.51397 81.8% - 0s
0 0 1.49098 0 108 0.83297 1.49098 79.0% - 0s
0 0 1.48793 0 102 0.83297 1.48793 78.6% - 0s
0 0 1.48534 0 113 0.83297 1.48534 78.3% - 0s
0 0 1.48426 0 105 0.83297 1.48426 78.2% - 0s
0 0 1.48319 0 108 0.83297 1.48319 78.1% - 0s
0 0 1.48319 0 108 0.83297 1.48319 78.1% - 0s
0 0 1.48296 0 108 0.83297 1.48296 78.0% - 0s
0 0 1.48296 0 108 0.83297 1.48296 78.0% - 0s
0 0 1.48296 0 94 0.83297 1.48296 78.0% - 0s
0 2 1.48296 0 92 0.83297 1.48296 78.0% - 0s
2349 680 infeasible 23 0.83297 1.18258 42.0% 15.0 5s
H 2545 760 0.8336980 1.17523 41.0% 14.9 5s
H 3862 1085 0.8336980 1.11169 33.3% 14.8 7s
6802 650 0.85036 51 22 0.83370 0.95762 14.9% 14.2 10s
Cutting planes:
Gomory: 51
Cover: 5
Implied bound: 31
Projected implied bound: 42
Clique: 1
MIR: 40
Flow cover: 120
Flow path: 2
Inf proof: 89
Explored 8911 nodes (122776 simplex iterations) in 11.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.833698 0.833698 0.832969
Optimal solution found (tolerance 1.00e-02)
Best objective 8.336979961626e-01, best bound 8.336979961626e-01, gap 0.0000%
Run 3
Seed for training 657
Seed for simulation 218
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-253.96233709, 127.03962836, 255.46930853]])
fopt: 0.7089793768929102
fun: -0.707984582503455
message: 'Optimization terminated successfully.'
nfev: 378
nit: 6
status: 0
success: True
x: array([ 80.99999733, 100. , 253.50341104])
xopt: array([ 81., 100., 253.])
zopt: array([ 81., 181., 434.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxy8lx7wy.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9f4att1y.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.708979
Presolve removed 455 rows and 285 columns
Presolve time: 0.01s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.431757e+00, 754 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43176 0 66 0.70898 1.43176 102% - 0s
0 0 1.40136 0 82 0.70898 1.40136 97.7% - 0s
0 0 1.39953 0 81 0.70898 1.39953 97.4% - 0s
0 0 1.32978 0 70 0.70898 1.32978 87.6% - 0s
0 0 1.32870 0 67 0.70898 1.32870 87.4% - 0s
0 0 1.31566 0 90 0.70898 1.31566 85.6% - 0s
0 0 1.31532 0 81 0.70898 1.31532 85.5% - 0s
0 0 1.31273 0 87 0.70898 1.31273 85.2% - 0s
0 0 1.31253 0 87 0.70898 1.31253 85.1% - 0s
0 0 1.31175 0 88 0.70898 1.31175 85.0% - 0s
0 0 1.31161 0 90 0.70898 1.31161 85.0% - 0s
0 0 1.30744 0 85 0.70898 1.30744 84.4% - 0s
0 0 1.30708 0 87 0.70898 1.30708 84.4% - 0s
0 0 1.30703 0 89 0.70898 1.30703 84.4% - 0s
0 0 1.30701 0 89 0.70898 1.30701 84.4% - 0s
0 0 1.30695 0 90 0.70898 1.30695 84.3% - 0s
0 0 1.30695 0 67 0.70898 1.30695 84.3% - 0s
0 2 1.30695 0 66 0.70898 1.30695 84.3% - 0s
* 1875 406 105 0.7880267 1.01467 28.8% 13.2 2s
* 1877 374 103 0.7989113 1.01467 27.0% 13.2 2s
5085 1200 infeasible 58 0.79891 0.92020 15.2% 10.3 5s
H 5890 1296 0.8005123 0.90977 13.6% 10.3 5s
H 6927 1290 0.8008371 0.88491 10.5% 10.7 7s
H 6930 1285 0.8017610 0.88491 10.4% 10.7 7s
* 7920 1157 83 0.8027830 0.87357 8.82% 11.2 8s
9006 964 cutoff 48 0.80278 0.85639 6.68% 11.5 10s
Cutting planes:
Gomory: 40
Cover: 5
Implied bound: 26
Projected implied bound: 33
Clique: 2
MIR: 22
Flow cover: 87
Flow path: 2
Inf proof: 126
Explored 11213 nodes (133123 simplex iterations) in 12.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.802783 0.801761 0.800837 ... 0.708979
Optimal solution found (tolerance 0.00e+00)
Best objective 8.027829618335e-01, best bound 8.027829618335e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplcvrji6v.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe0gyydlm.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.00s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.0502568e+02 2.983193e+03 0.000000e+00 0s
161 1.8092406e+01 0.000000e+00 0.000000e+00 0s
Solved in 161 iterations and 0.01 seconds
Optimal objective 1.809240557e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00268729, -0.01412805, -0.01412805]])
fopt: 3.038167854809307
fun: -3.049322582752605
message: 'Optimization terminated successfully.'
nfev: 132
nit: 2
status: 0
success: True
x: array([ 18.11883173, -87.99999921, -87.99999921])
xopt: array([18., 0., 0.])
zopt: array([18., 18., 18.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.27409860e-02, 2.93322609e-02, 5.27423159e-04]])
fopt: 2.685444535124719
fun: -2.7094978360577806
message: 'Optimization terminated successfully.'
nfev: 192
nit: 3
status: 0
success: True
x: array([ 40.07206528, -87.99955898, -0.96845834])
xopt: array([40., 0., 0.])
zopt: array([40., 40., 40.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.30044926, 0.00906321, 0.40778009]])
fopt: 1.9182787383192077
fun: -1.9264733358085984
message: 'Optimization terminated successfully.'
nfev: 209
nit: 3
status: 0
success: True
x: array([ 66.99996446, -0.99906203, -83.99557486])
xopt: array([67., 0., 0.])
zopt: array([67., 67., 67.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.63952145, 0.01459342, 0.65660014]])
fopt: 1.8448412339967677
fun: -1.8509262054126612
message: 'Optimization terminated successfully.'
nfev: 278
nit: 3
status: 0
success: True
x: array([ 88.00567813, -0.9985622 , -83.99105448])
xopt: array([88., 0., 0.])
zopt: array([88., 88., 88.])
*******************************************
Period: 5
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.04913355, 0.00111487, 0.05048742]])
fopt: 1.4700029740481646
fun: -1.4700212559383503
message: 'Optimization terminated successfully.'
nfev: 167
nit: 2
status: 0
success: True
x: array([ 88.523441 , -0.98595132, -87.95503302])
xopt: array([88., 0., 0.])
zopt: array([88., 88., 88.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1470
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.77109724e-01, -8.96087881e-08, -0.00000000e+00],
[-2.77129937e-01, 2.48150599e-03, 0.00000000e+00]])
fopt: 1.17435233126696
fun: -1.1793331325802154
message: 'Optimization terminated successfully.'
nfev: 399
nit: 3
status: 0
success: True
x: array([142.93443328, 1.00500909, 1. ])
xopt: array([142., 2., 1.])
zopt: array([142., 144., 145.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.43516862e-01, 2.90332084e-05, -3.99427119e-03]])
fopt: 1.0610869736254958
fun: -1.0640932514097752
message: 'Optimization terminated successfully.'
nfev: 302
nit: 3
status: 0
success: True
x: array([159.09244733, 1.0083051 , -1.14781754])
xopt: array([159., 1., 0.])
zopt: array([159., 160., 160.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.95064232e-04, 1.14429580e-13, -5.65955582e-06]])
fopt: 1.053349416323929
fun: -1.0550848437083342
message: 'Optimization terminated successfully.'
nfev: 361
nit: 3
status: 0
success: True
x: array([179.98413507, 1.00000127, -1.57141298])
xopt: array([179., 2., 0.])
zopt: array([179., 181., 181.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.37982389e-02, 0.00000000e+00, -1.37101591e-04]])
fopt: 1.0003709291200238
fun: -1.002618066522551
message: 'Optimization terminated successfully.'
nfev: 383
nit: 3
status: 0
success: True
x: array([200.99739234, 1.03101817, -0.9899963 ])
xopt: array([200., 2., 0.])
zopt: array([200., 202., 202.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.25568163e-03, 1.91686378e-05, 1.10354557e-07]])
fopt: 0.8787133603701481
fun: -0.8819469096937058
message: 'Optimization terminated successfully.'
nfev: 154
nit: 2
status: 0
success: True
x: array([223.01598149, 2.00000386, 1.00114182])
xopt: array([223., 2., 1.])
zopt: array([223., 225., 226.])
*******************************************
Period: 12
direc: array([[2.26421378e-06, 1.01865522e-08, 2.03731046e-08],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.69739998e-06, 6.58771123e+00, 1.31936613e+01]])
fopt: 0.8637811000584146
fun: -0.8613113729231567
message: 'Optimization terminated successfully.'
nfev: 356
nit: 4
status: 0
success: True
x: array([223.2747966 , 9.58630325, 18.19642993])
xopt: array([223., 9., 18.])
zopt: array([223., 232., 250.])
*******************************************
Period: 13
direc: array([[3.24735356e-02, 1.43601264e-04, 2.87202531e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.54191003e-01, 9.51992304e+00, 2.03806382e+01]])
fopt: 0.7889373979029376
fun: -0.7864401964908472
message: 'Optimization terminated successfully.'
nfev: 460
nit: 6
status: 0
success: True
x: array([227.54947827, 12.0822567 , 25.00912474])
xopt: array([227., 12., 26.])
zopt: array([227., 239., 265.])
*******************************************
Period: 14
direc: array([[-3.55980042e-01, -1.71539960e-03, -3.16659664e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.08330689e+00, 1.24321302e+01, 2.32719957e+01]])
fopt: 0.722630447214889
fun: -0.7189432741151368
message: 'Optimization terminated successfully.'
nfev: 328
nit: 4
status: 0
success: True
x: array([240.7781076 , 13.67734702, 28.32202308])
xopt: array([240., 13., 29.])
zopt: array([240., 253., 282.])
*******************************************
Period: 15
direc: array([[-2.34707906e+00, -9.86651315e-03, -2.17952000e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.44191403e+01, 3.30180984e+01, 2.46894595e+01]])
fopt: 1.1070744324326691
fun: -1.1079613804485822
message: 'Optimization terminated successfully.'
nfev: 510
nit: 7
status: 0
success: True
x: array([ 88.16860742, 114.07365658, 88.0895783 ])
xopt: array([ 88., 114., 88.])
zopt: array([ 88., 202., 290.])
*******************************************
Period: 16
direc: array([[3.46024289e-04, 1.41290390e-06, 3.37755948e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.06424244e-13, 1.40991852e-16, 7.66830882e-08]])
fopt: 0.6451482357698121
fun: -0.6416907741624733
message: 'Optimization terminated successfully.'
nfev: 340
nit: 3
status: 0
success: True
x: array([245.90329021, 2.00000008, 59.60666576])
xopt: array([245., 2., 60.])
zopt: array([245., 247., 307.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[28.06512345, 0.11340766, 0.22681533]])
fopt: 0.4386109296240025
fun: -0.43874712582863623
message: 'Optimization terminated successfully.'
nfev: 385
nit: 4
status: 0
success: True
x: array([275.97214647, 2.10633551, 4.11605343])
xopt: array([275., 2., 5.])
zopt: array([275., 277., 282.])
*******************************************
Period: 18
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 2.74663168e+01, 1.10587377e-01, 2.21174758e-01],
[ 7.56389454e-07, -1.94997518e-01, -1.47111909e-08]])
fopt: 0.36989764737362074
fun: -0.3695712209818448
message: 'Optimization terminated successfully.'
nfev: 400
nit: 4
status: 0
success: True
x: array([276.83388227, 2.19272831, 3.00109825])
xopt: array([276., 2., 4.])
zopt: array([276., 278., 282.])
*******************************************
Period: 19
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3078138049898453
fun: -0.30566119636010736
message: 'Optimization terminated successfully.'
nfev: 391
nit: 4
status: 0
success: True
x: array([276.99999514, 2.38196507, 3.00000008])
xopt: array([276., 2., 4.])
zopt: array([276., 278., 282.])
*******************************************
Period: 20
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.53368908e-05, 1.68738825e-07, 1.63734591e-07]])
fopt: 0.23783776432745693
fun: -0.23912042328268265
message: 'Optimization terminated successfully.'
nfev: 326
nit: 3
status: 0
success: True
x: array([277.89261017, 2.03038124, 3.00000015])
xopt: array([277., 2., 3.])
zopt: array([277., 279., 282.])
*******************************************
Period: 21
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.41483288e-06, 1.02739297e-11, 8.66091233e-09]])
fopt: 0.17227706858077804
fun: -0.17337598115905759
message: 'Optimization terminated successfully.'
nfev: 252
nit: 2
status: 0
success: True
x: array([279.81969154, 1.00118624, 2.00000001])
xopt: array([279., 1., 2.])
zopt: array([279., 280., 282.])
*******************************************
Period: 22
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.75570471e-01, -2.43715383e-04, 0.00000000e+00]])
fopt: 0.19257228174096727
fun: -0.19196198708336856
message: 'Optimization terminated successfully.'
nfev: 644
nit: 5
status: 0
success: True
x: array([279.89383243, 1.33309493, 1.00671552])
xopt: array([279., 1., 2.])
zopt: array([279., 280., 282.])
*******************************************
Period: 23
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.91724595e-01, 6.91829239e-04, 8.59673695e-04]])
fopt: 0.2191689338857247
fun: -0.2214607033538462
message: 'Optimization terminated successfully.'
nfev: 372
nit: 3
status: 0
success: True
x: array([278.31877363, 2.00069184, 2.24346842])
xopt: array([278., 2., 3.])
zopt: array([278., 280., 283.])
*******************************************
Period: 24
direc: array([[ 2.96635562e-03, 0.00000000e+00, 1.06288612e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.90750356e+01, 7.90293212e-01, 4.03146504e+01]])
fopt: 0.8178535069375146
fun: -0.8147170215592606
message: 'Optimization terminated successfully.'
nfev: 930
nit: 8
status: 0
success: True
x: array([191.56978146, 3.79029321, 203.35333449])
xopt: array([191., 3., 203.])
zopt: array([191., 194., 397.])
*******************************************
Period: 25
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 9.27909784e-07, 2.17177371e-02]])
fopt: 0.24682666570777648
fun: -0.24579299452204126
message: 'Optimization terminated successfully.'
nfev: 291
nit: 3
status: 0
success: True
x: array([278.83956148, 2.00004447, 3.04198921])
xopt: array([278., 2., 4.])
zopt: array([278., 280., 284.])
*******************************************
Period: 26
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.14639130e-08, 0.00000000e+00, 1.12679764e-10]])
fopt: 0.23298738346653247
fun: -0.23422020130188073
message: 'Optimization terminated successfully.'
nfev: 752
nit: 7
status: 0
success: True
x: array([280.23304004, 1.00000041, 7.00999999])
xopt: array([280., 1., 8.])
zopt: array([280., 281., 289.])
*******************************************
Period: 27
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 9.03087909e-07, 1.08328261e+02]])
fopt: 0.548208910009167
fun: -0.5474414642922639
message: 'Optimization terminated successfully.'
nfev: 463
nit: 5
status: 0
success: True
x: array([278.90167781, 2.04365907, 113.38799104])
xopt: array([278., 2., 113.])
zopt: array([278., 280., 393.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , -0.08178614]])
fopt: 0.5215141606608361
fun: -0.5223342275742276
message: 'Optimization terminated successfully.'
nfev: 593
nit: 6
status: 0
success: True
x: array([281.12531783, 1.00147699, 111.05355992])
xopt: array([281., 1., 111.])
zopt: array([281., 282., 393.])
*******************************************
Period: 29
direc: array([[ 0. , -84.98941245, 124.25573273],
[ 0. , 0. , 0. ],
[ 0. , 8.6792473 , -3.71134427]])
fopt: 0.3220212206708067
fun: -0.702584656587317
message: 'Optimization terminated successfully.'
nfev: 666
nit: 11
status: 0
success: True
x: array([280.97618356, -79.00000005, 192.14394809])
xopt: array([280., 0., 192.])
zopt: array([280., 280., 472.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxzzmunvh.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4vntqxd0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57816
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.03817 1.57816
Optimal solution found (tolerance 1.00e-02)
Best objective 3.038167854809e+00, best bound 3.038167854809e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa3ss2ms0.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe3poxwkg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10129
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.685445e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.6854445 2.68544 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.68544 1.10129
Optimal solution found (tolerance 1.00e-02)
Best objective 2.685444535125e+00, best bound 2.685444535125e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt5mv9655.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpicndta0s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.68113
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.005228e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.00523 0 3 1.68113 2.00523 19.3% - 0s
H 0 0 1.9182787 2.00523 4.53% - 0s
0 0 cutoff 0 1.91828 1.91828 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.91828 1.68113
Optimal solution found (tolerance 1.00e-02)
Best objective 1.918278738319e+00, best bound 1.918278738319e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcemagl0_.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkmrn7l7x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13756
Presolve removed 130 rows and 91 columns
Presolve time: 0.01s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 2.166889e+00, 33 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16689 0 8 1.13756 2.16689 90.5% - 0s
H 0 0 1.8448412 2.16689 17.5% - 0s
0 0 cutoff 0 1.84484 1.84484 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 4
Flow cover: 2
Flow path: 1
Explored 1 nodes (41 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.84484 1.13756
Optimal solution found (tolerance 1.00e-02)
Best objective 1.844841233997e+00, best bound 1.844841233997e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeqdobnfp.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgoc0_4_2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.47
Presolve removed 123 rows and 87 columns
Presolve time: 0.00s
Presolved: 114 rows, 88 columns, 392 nonzeros
Variable types: 41 continuous, 47 integer (40 binary)
Root relaxation: objective 1.864650e+00, 74 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61931 0 2 1.47000 1.61931 10.2% - 0s
0 0 1.61446 0 2 1.47000 1.61446 9.83% - 0s
H 0 0 1.4700030 1.61446 9.83% - 0s
0 0 cutoff 0 1.47000 1.47000 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 1
Flow cover: 1
Explored 1 nodes (98 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.47 1.47
Optimal solution found (tolerance 1.00e-02)
Best objective 1.470002977365e+00, best bound 1.470002977365e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5eafjgpy.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1hs41edw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19555
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 1.740117e+00, 99 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74012 0 6 1.19555 1.74012 45.5% - 0s
H 0 0 1.3395058 1.74012 29.9% - 0s
0 0 1.50937 0 4 1.33951 1.50937 12.7% - 0s
0 0 1.49222 0 3 1.33951 1.49222 11.4% - 0s
0 0 1.41896 0 2 1.33951 1.41896 5.93% - 0s
0 0 1.41577 0 2 1.33951 1.41577 5.69% - 0s
0 0 1.41573 0 2 1.33951 1.41573 5.69% - 0s
0 0 1.41573 0 2 1.33951 1.41573 5.69% - 0s
0 0 1.35394 0 1 1.33951 1.35394 1.08% - 0s
0 0 infeasible 0 1.33951 1.33951 0.00% - 0s
Explored 1 nodes (176 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33951 1.19555
Optimal solution found (tolerance 1.00e-02)
Best objective 1.339505774507e+00, best bound 1.339505774507e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplqp0v_pi.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl4zwzzih.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.984297
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.727364e+00, 121 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.72736 0 12 0.98430 2.72736 177% - 0s
H 0 0 1.1929093 2.72736 129% - 0s
0 0 2.53433 0 19 1.19291 2.53433 112% - 0s
0 0 2.53433 0 19 1.19291 2.53433 112% - 0s
0 0 2.43935 0 13 1.19291 2.43935 104% - 0s
0 0 2.38703 0 12 1.19291 2.38703 100% - 0s
0 0 2.35877 0 14 1.19291 2.35877 97.7% - 0s
0 0 2.35534 0 14 1.19291 2.35534 97.4% - 0s
0 0 2.31162 0 14 1.19291 2.31162 93.8% - 0s
0 0 2.30379 0 12 1.19291 2.30379 93.1% - 0s
0 0 2.22331 0 15 1.19291 2.22331 86.4% - 0s
0 0 2.15822 0 15 1.19291 2.15822 80.9% - 0s
0 0 2.15224 0 15 1.19291 2.15224 80.4% - 0s
0 0 2.15200 0 16 1.19291 2.15200 80.4% - 0s
0 0 2.13750 0 15 1.19291 2.13750 79.2% - 0s
0 0 2.13671 0 14 1.19291 2.13671 79.1% - 0s
0 0 2.13091 0 14 1.19291 2.13091 78.6% - 0s
0 0 2.11895 0 14 1.19291 2.11895 77.6% - 0s
0 0 2.09173 0 12 1.19291 2.09173 75.3% - 0s
0 0 2.08668 0 12 1.19291 2.08668 74.9% - 0s
0 0 2.08668 0 12 1.19291 2.08668 74.9% - 0s
H 0 0 1.2040574 2.08668 73.3% - 0s
0 2 2.08668 0 12 1.20406 2.08668 73.3% - 0s
H 8 7 1.2459067 1.96962 58.1% 7.5 0s
H 9 6 1.3197776 1.96962 49.2% 7.0 0s
* 28 5 8 1.3755181 1.57271 14.3% 4.9 0s
Cutting planes:
Gomory: 5
Implied bound: 9
MIR: 2
Flow cover: 11
Explored 44 nodes (507 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.37552 1.31978 1.24591 ... 0.984297
Optimal solution found (tolerance 1.00e-02)
Best objective 1.375518106008e+00, best bound 1.375518106008e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbsarhvqw.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeq6jbffx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12794
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.539410e+00, 159 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.53941 0 14 1.12794 2.53941 125% - 0s
0 0 2.32717 0 22 1.12794 2.32717 106% - 0s
0 0 2.21331 0 15 1.12794 2.21331 96.2% - 0s
0 0 2.20353 0 9 1.12794 2.20353 95.4% - 0s
0 0 2.20353 0 9 1.12794 2.20353 95.4% - 0s
0 0 2.19361 0 15 1.12794 2.19361 94.5% - 0s
0 0 2.19321 0 14 1.12794 2.19321 94.4% - 0s
0 0 2.12763 0 15 1.12794 2.12763 88.6% - 0s
0 0 2.11644 0 12 1.12794 2.11644 87.6% - 0s
0 0 2.11644 0 13 1.12794 2.11644 87.6% - 0s
0 0 2.08199 0 9 1.12794 2.08199 84.6% - 0s
0 0 2.07080 0 14 1.12794 2.07080 83.6% - 0s
0 0 2.06575 0 14 1.12794 2.06575 83.1% - 0s
0 0 2.06575 0 15 1.12794 2.06575 83.1% - 0s
0 0 2.06575 0 15 1.12794 2.06575 83.1% - 0s
H 0 0 1.2903611 2.06575 60.1% - 0s
0 2 2.06575 0 15 1.29036 2.06575 60.1% - 0s
Cutting planes:
Gomory: 6
Cover: 4
Implied bound: 7
MIR: 5
Flow cover: 10
Explored 141 nodes (993 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.29036 1.12794
Optimal solution found (tolerance 1.00e-02)
Best objective 1.290361109549e+00, best bound 1.290361109549e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvh2j9l2l.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd1rfnxwx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07257
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.541376e+00, 194 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.54138 0 17 1.07257 2.54138 137% - 0s
0 0 2.33821 0 17 1.07257 2.33821 118% - 0s
0 0 2.10137 0 20 1.07257 2.10137 95.9% - 0s
0 0 2.08509 0 22 1.07257 2.08509 94.4% - 0s
0 0 2.08397 0 21 1.07257 2.08397 94.3% - 0s
0 0 2.08130 0 21 1.07257 2.08130 94.0% - 0s
0 0 2.04386 0 19 1.07257 2.04386 90.6% - 0s
0 0 2.03758 0 19 1.07257 2.03758 90.0% - 0s
0 0 2.03709 0 20 1.07257 2.03709 89.9% - 0s
0 0 2.03390 0 20 1.07257 2.03390 89.6% - 0s
0 0 2.03346 0 20 1.07257 2.03346 89.6% - 0s
0 0 2.02852 0 21 1.07257 2.02852 89.1% - 0s
0 0 2.02511 0 21 1.07257 2.02511 88.8% - 0s
0 0 2.02511 0 21 1.07257 2.02511 88.8% - 0s
0 2 2.02511 0 21 1.07257 2.02511 88.8% - 0s
H 32 16 1.1077118 1.91865 73.2% 5.3 0s
* 110 18 16 1.3227386 1.60648 21.5% 5.1 0s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 11
Clique: 1
MIR: 4
Flow cover: 16
Inf proof: 1
Explored 146 nodes (1122 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.32274 1.10771 1.07257
Optimal solution found (tolerance 1.00e-02)
Best objective 1.322738592747e+00, best bound 1.322738592747e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcme0918n.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmponejjqkn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10942
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.493125e+00, 244 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.49312 0 19 1.10942 2.49312 125% - 0s
0 0 2.30471 0 21 1.10942 2.30471 108% - 0s
0 0 2.06551 0 26 1.10942 2.06551 86.2% - 0s
0 0 2.06551 0 27 1.10942 2.06551 86.2% - 0s
0 0 2.04221 0 25 1.10942 2.04221 84.1% - 0s
0 0 2.02132 0 27 1.10942 2.02132 82.2% - 0s
0 0 2.02106 0 27 1.10942 2.02106 82.2% - 0s
0 0 2.02066 0 27 1.10942 2.02066 82.1% - 0s
0 0 2.02066 0 28 1.10942 2.02066 82.1% - 0s
0 0 1.99430 0 27 1.10942 1.99430 79.8% - 0s
0 0 1.97974 0 25 1.10942 1.97974 78.4% - 0s
0 0 1.97833 0 25 1.10942 1.97833 78.3% - 0s
0 0 1.95030 0 26 1.10942 1.95030 75.8% - 0s
0 0 1.94669 0 28 1.10942 1.94669 75.5% - 0s
0 0 1.94343 0 29 1.10942 1.94343 75.2% - 0s
0 0 1.94128 0 27 1.10942 1.94128 75.0% - 0s
0 0 1.94128 0 27 1.10942 1.94128 75.0% - 0s
0 2 1.94128 0 27 1.10942 1.94128 75.0% - 0s
* 101 18 16 1.1668502 1.54231 32.2% 6.0 0s
* 141 5 15 1.2800204 1.45275 13.5% 5.6 0s
* 158 3 15 1.3302173 1.45275 9.21% 5.6 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 7
MIR: 7
Flow cover: 17
Explored 171 nodes (1415 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.33022 1.28002 1.16685 1.10942
Optimal solution found (tolerance 1.00e-02)
Best objective 1.330217313652e+00, best bound 1.330217313652e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgv5rkrc7.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbdqasbbh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16109
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.417560e+00, 232 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.41756 0 22 1.16109 2.41756 108% - 0s
0 0 2.21941 0 26 1.16109 2.21941 91.1% - 0s
0 0 2.09013 0 29 1.16109 2.09013 80.0% - 0s
0 0 2.09013 0 30 1.16109 2.09013 80.0% - 0s
0 0 2.03621 0 30 1.16109 2.03621 75.4% - 0s
0 0 2.01214 0 30 1.16109 2.01214 73.3% - 0s
0 0 1.98268 0 26 1.16109 1.98268 70.8% - 0s
0 0 1.97927 0 25 1.16109 1.97927 70.5% - 0s
0 0 1.97570 0 31 1.16109 1.97570 70.2% - 0s
0 0 1.97524 0 30 1.16109 1.97524 70.1% - 0s
0 0 1.97438 0 30 1.16109 1.97438 70.0% - 0s
0 0 1.95861 0 31 1.16109 1.95861 68.7% - 0s
0 0 1.95491 0 27 1.16109 1.95491 68.4% - 0s
0 0 1.95491 0 29 1.16109 1.95491 68.4% - 0s
0 0 1.95457 0 29 1.16109 1.95457 68.3% - 0s
0 0 1.95457 0 30 1.16109 1.95457 68.3% - 0s
0 0 1.95403 0 31 1.16109 1.95403 68.3% - 0s
0 0 1.95403 0 31 1.16109 1.95403 68.3% - 0s
0 2 1.95403 0 31 1.16109 1.95403 68.3% - 0s
* 310 36 21 1.2206315 1.56582 28.3% 6.2 0s
* 313 36 20 1.2298058 1.56582 27.3% 6.1 0s
* 333 28 20 1.3096072 1.47725 12.8% 5.9 0s
Cutting planes:
Gomory: 8
Cover: 2
Implied bound: 11
Clique: 1
MIR: 10
Flow cover: 17
Explored 388 nodes (2630 simplex iterations) in 0.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.30961 1.22981 1.22063 1.16109
Optimal solution found (tolerance 1.00e-02)
Best objective 1.309607181666e+00, best bound 1.309607181666e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw6nmg_07.pyomo.lp
Reading time = 0.01 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxqxh84lj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14964
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.347093e+00, 247 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.34709 0 24 1.14964 2.34709 104% - 0s
0 0 2.15288 0 34 1.14964 2.15288 87.3% - 0s
0 0 1.99067 0 24 1.14964 1.99067 73.2% - 0s
0 0 1.92547 0 23 1.14964 1.92547 67.5% - 0s
0 0 1.92308 0 25 1.14964 1.92308 67.3% - 0s
0 0 1.89538 0 24 1.14964 1.89538 64.9% - 0s
0 0 1.89395 0 24 1.14964 1.89395 64.7% - 0s
0 0 1.89375 0 22 1.14964 1.89375 64.7% - 0s
0 0 1.89375 0 22 1.14964 1.89375 64.7% - 0s
0 2 1.89375 0 22 1.14964 1.89375 64.7% - 0s
* 132 47 24 1.2197624 1.64040 34.5% 7.5 0s
* 257 0 24 1.2789924 1.33084 4.05% 6.5 0s
Cutting planes:
Gomory: 3
Cover: 2
Implied bound: 11
MIR: 3
Flow cover: 23
Explored 282 nodes (2214 simplex iterations) in 0.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.27899 1.21976 1.14964
Optimal solution found (tolerance 1.00e-02)
Best objective 1.278992372602e+00, best bound 1.278992372602e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkujrm0d7.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj_hxpt5w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13981
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.229185e+00, 259 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22919 0 26 1.13981 2.22919 95.6% - 0s
0 0 2.02488 0 33 1.13981 2.02488 77.7% - 0s
0 0 2.02488 0 32 1.13981 2.02488 77.7% - 0s
0 0 1.90928 0 39 1.13981 1.90928 67.5% - 0s
0 0 1.89306 0 37 1.13981 1.89306 66.1% - 0s
0 0 1.89192 0 37 1.13981 1.89192 66.0% - 0s
0 0 1.89108 0 38 1.13981 1.89108 65.9% - 0s
0 0 1.89108 0 38 1.13981 1.89108 65.9% - 0s
0 0 1.89108 0 38 1.13981 1.89108 65.9% - 0s
0 0 1.89108 0 34 1.13981 1.89108 65.9% - 0s
H 0 0 1.2175916 1.89108 55.3% - 0s
0 2 1.89108 0 34 1.21759 1.89108 55.3% - 0s
* 157 69 27 1.2192987 1.67263 37.2% 7.8 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 10
MIR: 5
Flow cover: 30
Explored 379 nodes (3085 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.2193 1.21759 1.13981
Optimal solution found (tolerance 1.00e-02)
Best objective 1.219298694836e+00, best bound 1.219298694836e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpao2xwgf9.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptlbfw3cd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09368
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.208562e+00, 343 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.20856 0 29 1.09368 2.20856 102% - 0s
0 0 2.01000 0 33 1.09368 2.01000 83.8% - 0s
0 0 1.92590 0 37 1.09368 1.92590 76.1% - 0s
0 0 1.91550 0 38 1.09368 1.91550 75.1% - 0s
0 0 1.91203 0 38 1.09368 1.91203 74.8% - 0s
0 0 1.90659 0 38 1.09368 1.90659 74.3% - 0s
0 0 1.90521 0 40 1.09368 1.90521 74.2% - 0s
0 0 1.90521 0 40 1.09368 1.90521 74.2% - 0s
0 0 1.86415 0 38 1.09368 1.86415 70.4% - 0s
0 0 1.86402 0 39 1.09368 1.86402 70.4% - 0s
0 0 1.83731 0 39 1.09368 1.83731 68.0% - 0s
0 0 1.83538 0 42 1.09368 1.83538 67.8% - 0s
0 0 1.83531 0 42 1.09368 1.83531 67.8% - 0s
0 0 1.83525 0 42 1.09368 1.83525 67.8% - 0s
0 0 1.83525 0 42 1.09368 1.83525 67.8% - 0s
0 0 1.83511 0 40 1.09368 1.83511 67.8% - 0s
0 0 1.83474 0 42 1.09368 1.83474 67.8% - 0s
0 0 1.83474 0 42 1.09368 1.83474 67.8% - 0s
0 0 1.83100 0 41 1.09368 1.83100 67.4% - 0s
0 0 1.83100 0 41 1.09368 1.83100 67.4% - 0s
0 0 1.83100 0 41 1.09368 1.83100 67.4% - 0s
0 0 1.83100 0 41 1.09368 1.83100 67.4% - 0s
0 0 1.83100 0 41 1.09368 1.83100 67.4% - 0s
0 0 1.83100 0 41 1.09368 1.83100 67.4% - 0s
0 2 1.83100 0 41 1.09368 1.83100 67.4% - 0s
* 549 128 31 1.1381974 1.35668 19.2% 6.0 0s
* 661 101 31 1.1863474 1.34540 13.4% 5.7 0s
* 949 0 25 1.1999451 1.19995 0.00% 5.3 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 22
MIR: 9
Flow cover: 32
Inf proof: 6
Explored 956 nodes (5790 simplex iterations) in 0.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.19995 1.18635 1.1382 1.09368
Optimal solution found (tolerance 1.00e-02)
Best objective 1.199945121302e+00, best bound 1.199945121302e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmb6f864z.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeigmfnaw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11728
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.059863e+00, 373 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05986 0 30 1.11728 2.05986 84.4% - 0s
0 0 1.86639 0 35 1.11728 1.86639 67.0% - 0s
0 0 1.78858 0 39 1.11728 1.78858 60.1% - 0s
0 0 1.77980 0 40 1.11728 1.77980 59.3% - 0s
0 0 1.77631 0 40 1.11728 1.77631 59.0% - 0s
0 0 1.77631 0 41 1.11728 1.77631 59.0% - 0s
0 0 1.76696 0 43 1.11728 1.76696 58.1% - 0s
0 0 1.75575 0 45 1.11728 1.75575 57.1% - 0s
0 0 1.75575 0 45 1.11728 1.75575 57.1% - 0s
0 0 1.72464 0 44 1.11728 1.72464 54.4% - 0s
0 0 1.72354 0 44 1.11728 1.72354 54.3% - 0s
0 0 1.70911 0 41 1.11728 1.70911 53.0% - 0s
0 0 1.70030 0 46 1.11728 1.70030 52.2% - 0s
0 0 1.69935 0 46 1.11728 1.69935 52.1% - 0s
0 0 1.69683 0 46 1.11728 1.69683 51.9% - 0s
0 0 1.69683 0 46 1.11728 1.69683 51.9% - 0s
0 2 1.69683 0 46 1.11728 1.69683 51.9% - 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 13
MIR: 5
Flow cover: 29
Inf proof: 3
Explored 512 nodes (3818 simplex iterations) in 0.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.11728
Optimal solution found (tolerance 1.00e-02)
Best objective 1.117278155768e+00, best bound 1.117278155768e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5e1r3gb8.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5rbtnz8w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0312
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.003828e+00, 411 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.00383 0 36 1.03120 2.00383 94.3% - 0s
0 0 1.80866 0 31 1.03120 1.80866 75.4% - 0s
0 0 1.73601 0 34 1.03120 1.73601 68.3% - 0s
0 0 1.72778 0 35 1.03120 1.72778 67.6% - 0s
0 0 1.72477 0 35 1.03120 1.72477 67.3% - 0s
0 0 1.71587 0 38 1.03120 1.71587 66.4% - 0s
0 0 1.70535 0 39 1.03120 1.70535 65.4% - 0s
0 0 1.70519 0 39 1.03120 1.70519 65.4% - 0s
0 0 1.70519 0 42 1.03120 1.70519 65.4% - 0s
0 0 1.67629 0 39 1.03120 1.67629 62.6% - 0s
0 0 1.67526 0 41 1.03120 1.67526 62.5% - 0s
0 0 1.61839 0 40 1.03120 1.61839 56.9% - 0s
0 0 1.61825 0 42 1.03120 1.61825 56.9% - 0s
0 0 1.61825 0 42 1.03120 1.61825 56.9% - 0s
0 0 1.61825 0 42 1.03120 1.61825 56.9% - 0s
0 0 1.61825 0 38 1.03120 1.61825 56.9% - 0s
0 2 1.61825 0 38 1.03120 1.61825 56.9% - 0s
* 568 188 42 1.0447719 1.23847 18.5% 5.6 0s
* 646 170 38 1.0700078 1.21943 14.0% 5.5 0s
Cutting planes:
Gomory: 14
Cover: 4
Implied bound: 17
MIR: 7
Flow cover: 25
Flow path: 1
Inf proof: 9
Explored 1310 nodes (7535 simplex iterations) in 0.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07001 1.04477 1.0312
Optimal solution found (tolerance 1.00e-02)
Best objective 1.070007810194e+00, best bound 1.070007810194e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph7wg1qns.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppvjvzmy_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99272
Presolve removed 286 rows and 181 columns
Presolve time: 0.02s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.906201e+00, 430 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90620 0 39 0.99272 1.90620 92.0% - 0s
0 0 1.72232 0 33 0.99272 1.72232 73.5% - 0s
0 0 1.63314 0 44 0.99272 1.63314 64.5% - 0s
0 0 1.62102 0 40 0.99272 1.62102 63.3% - 0s
0 0 1.62016 0 40 0.99272 1.62016 63.2% - 0s
0 0 1.61919 0 44 0.99272 1.61919 63.1% - 0s
0 0 1.61912 0 46 0.99272 1.61912 63.1% - 0s
0 0 1.61725 0 48 0.99272 1.61725 62.9% - 0s
0 0 1.61723 0 49 0.99272 1.61723 62.9% - 0s
0 0 1.60739 0 41 0.99272 1.60739 61.9% - 0s
0 0 1.60064 0 42 0.99272 1.60064 61.2% - 0s
0 0 1.60032 0 44 0.99272 1.60032 61.2% - 0s
0 0 1.59870 0 45 0.99272 1.59870 61.0% - 0s
0 0 1.59755 0 42 0.99272 1.59755 60.9% - 0s
0 0 1.59734 0 47 0.99272 1.59734 60.9% - 0s
0 0 1.59728 0 47 0.99272 1.59728 60.9% - 0s
0 0 1.59728 0 50 0.99272 1.59728 60.9% - 0s
0 0 1.59728 0 44 0.99272 1.59728 60.9% - 0s
0 2 1.59728 0 44 0.99272 1.59728 60.9% - 0s
* 1558 172 43 1.0069817 1.08666 7.91% 5.9 0s
* 1872 72 43 1.0148309 1.05031 3.50% 5.8 0s
Cutting planes:
Gomory: 7
Cover: 6
Implied bound: 24
MIR: 13
Flow cover: 45
Inf proof: 21
Explored 1996 nodes (12419 simplex iterations) in 1.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.01483 1.00698 0.99272
Optimal solution found (tolerance 1.00e-02)
Best objective 1.014830916750e+00, best bound 1.014830916750e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe7_es5v9.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc2u2z1n_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.9279
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.927430e+00, 434 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92743 0 43 0.92790 1.92743 108% - 0s
0 0 1.75258 0 40 0.92790 1.75258 88.9% - 0s
0 0 1.75246 0 40 0.92790 1.75246 88.9% - 0s
0 0 1.68678 0 50 0.92790 1.68678 81.8% - 0s
0 0 1.67907 0 47 0.92790 1.67907 81.0% - 0s
0 0 1.67738 0 47 0.92790 1.67738 80.8% - 0s
0 0 1.60984 0 44 0.92790 1.60984 73.5% - 0s
0 0 1.60563 0 53 0.92790 1.60563 73.0% - 0s
0 0 1.60192 0 54 0.92790 1.60192 72.6% - 0s
0 0 1.60154 0 55 0.92790 1.60154 72.6% - 0s
0 0 1.60061 0 55 0.92790 1.60061 72.5% - 0s
0 0 1.59083 0 52 0.92790 1.59083 71.4% - 0s
0 0 1.58985 0 53 0.92790 1.58985 71.3% - 0s
0 0 1.58832 0 51 0.92790 1.58832 71.2% - 0s
0 0 1.58780 0 54 0.92790 1.58780 71.1% - 0s
0 0 1.58780 0 57 0.92790 1.58780 71.1% - 0s
0 0 1.58729 0 53 0.92790 1.58729 71.1% - 0s
0 0 1.58729 0 55 0.92790 1.58729 71.1% - 0s
0 0 1.58376 0 58 0.92790 1.58376 70.7% - 0s
0 0 1.58247 0 59 0.92790 1.58247 70.5% - 0s
0 0 1.58238 0 59 0.92790 1.58238 70.5% - 0s
0 0 1.58214 0 56 0.92790 1.58214 70.5% - 0s
0 0 1.58214 0 54 0.92790 1.58214 70.5% - 0s
0 2 1.58214 0 53 0.92790 1.58214 70.5% - 0s
* 1135 435 52 0.9347956 1.16915 25.1% 6.7 0s
* 1735 550 46 0.9564237 1.14152 19.4% 7.5 1s
* 1924 485 43 0.9723546 1.12624 15.8% 7.6 2s
* 2056 412 36 1.0017687 1.10440 10.2% 7.6 2s
* 2352 319 38 1.0090995 1.07732 6.76% 7.7 2s
* 2401 238 34 1.0144249 1.07014 5.49% 7.7 2s
Cutting planes:
Gomory: 30
Cover: 6
Implied bound: 11
Projected implied bound: 12
Clique: 1
MIR: 9
Flow cover: 53
Flow path: 2
Inf proof: 10
Explored 2728 nodes (22044 simplex iterations) in 2.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.01442 1.0091 1.00177 ... 0.9279
Optimal solution found (tolerance 1.00e-02)
Best objective 1.014424896095e+00, best bound 1.014424896095e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp40ufgqd8.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpestqrg0h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.930398
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.866354e+00, 463 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86635 0 51 0.93040 1.86635 101% - 0s
0 0 1.68720 0 47 0.93040 1.68720 81.3% - 0s
0 0 1.68709 0 47 0.93040 1.68709 81.3% - 0s
0 0 1.60548 0 58 0.93040 1.60548 72.6% - 0s
0 0 1.59473 0 51 0.93040 1.59473 71.4% - 0s
0 0 1.59405 0 51 0.93040 1.59405 71.3% - 0s
0 0 1.59360 0 57 0.93040 1.59360 71.3% - 0s
0 0 1.59352 0 62 0.93040 1.59352 71.3% - 0s
0 0 1.59192 0 63 0.93040 1.59192 71.1% - 0s
0 0 1.59186 0 64 0.93040 1.59186 71.1% - 0s
0 0 1.58308 0 56 0.93040 1.58308 70.2% - 0s
0 0 1.57733 0 59 0.93040 1.57733 69.5% - 0s
0 0 1.57694 0 59 0.93040 1.57694 69.5% - 0s
0 0 1.57694 0 60 0.93040 1.57694 69.5% - 0s
0 0 1.57361 0 61 0.93040 1.57361 69.1% - 0s
0 0 1.57307 0 63 0.93040 1.57307 69.1% - 0s
0 0 1.57271 0 58 0.93040 1.57271 69.0% - 0s
0 0 1.57271 0 59 0.93040 1.57271 69.0% - 0s
0 0 1.56905 0 62 0.93040 1.56905 68.6% - 0s
0 0 1.56902 0 62 0.93040 1.56902 68.6% - 0s
0 0 1.56762 0 62 0.93040 1.56762 68.5% - 0s
0 0 1.56762 0 62 0.93040 1.56762 68.5% - 0s
0 2 1.56762 0 56 0.93040 1.56762 68.5% - 0s
* 1201 375 55 0.9480165 1.18537 25.0% 6.7 0s
* 1395 390 56 0.9624916 1.17940 22.5% 6.5 0s
* 1397 387 55 0.9648514 1.17940 22.2% 6.5 0s
* 1406 380 53 0.9690880 1.17940 21.7% 6.5 0s
Cutting planes:
Learned: 3
Gomory: 20
Cover: 6
Implied bound: 9
Projected implied bound: 9
MIR: 7
Flow cover: 33
Flow path: 2
Inf proof: 14
Explored 4034 nodes (29112 simplex iterations) in 2.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.969088 0.964851 0.962492 ... 0.930398
Optimal solution found (tolerance 1.00e-02)
Best objective 9.690879595941e-01, best bound 9.690879595941e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz5lk38af.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2q_1ocpf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887788
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.851764e+00, 566 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85176 0 56 0.88779 1.85176 109% - 0s
0 0 1.67506 0 51 0.88779 1.67506 88.7% - 0s
0 0 1.67495 0 52 0.88779 1.67495 88.7% - 0s
0 0 1.61457 0 61 0.88779 1.61457 81.9% - 0s
0 0 1.60798 0 61 0.88779 1.60798 81.1% - 0s
0 0 1.60600 0 61 0.88779 1.60600 80.9% - 0s
0 0 1.59834 0 63 0.88779 1.59834 80.0% - 0s
0 0 1.59459 0 63 0.88779 1.59459 79.6% - 0s
0 0 1.58905 0 63 0.88779 1.58905 79.0% - 0s
0 0 1.55658 0 63 0.88779 1.55658 75.3% - 0s
0 0 1.55287 0 64 0.88779 1.55287 74.9% - 0s
0 0 1.55287 0 64 0.88779 1.55287 74.9% - 0s
0 0 1.53043 0 62 0.88779 1.53043 72.4% - 0s
0 0 1.52985 0 64 0.88779 1.52985 72.3% - 0s
0 0 1.52803 0 64 0.88779 1.52803 72.1% - 0s
0 0 1.52659 0 66 0.88779 1.52659 72.0% - 0s
0 0 1.52654 0 66 0.88779 1.52654 71.9% - 0s
0 0 1.52654 0 66 0.88779 1.52654 71.9% - 0s
0 0 1.52654 0 66 0.88779 1.52654 71.9% - 0s
0 2 1.52654 0 66 0.88779 1.52654 71.9% - 0s
* 480 259 66 0.9114326 1.28778 41.3% 9.0 0s
* 486 259 66 0.9122651 1.28778 41.2% 9.0 0s
* 2081 593 58 0.9177213 1.07338 17.0% 9.1 2s
* 2218 522 47 0.9273745 1.06541 14.9% 9.2 2s
* 2239 470 47 0.9598117 1.06541 11.0% 9.1 2s
Cutting planes:
Learned: 1
Gomory: 36
Cover: 4
Implied bound: 17
Projected implied bound: 16
Clique: 1
MIR: 10
Flow cover: 47
Inf proof: 22
Explored 2961 nodes (27002 simplex iterations) in 2.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.959812 0.927375 0.917721 ... 0.887788
Optimal solution found (tolerance 1.00e-02)
Best objective 9.598117093704e-01, best bound 9.598117093704e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr4cyw072.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1xeomlej.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.883916
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.799388e+00, 603 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79939 0 58 0.88392 1.79939 104% - 0s
0 0 1.62078 0 57 0.88392 1.62078 83.4% - 0s
0 0 1.62068 0 58 0.88392 1.62068 83.4% - 0s
0 0 1.54668 0 62 0.88392 1.54668 75.0% - 0s
0 0 1.53704 0 62 0.88392 1.53704 73.9% - 0s
0 0 1.53644 0 59 0.88392 1.53644 73.8% - 0s
0 0 1.53644 0 59 0.88392 1.53644 73.8% - 0s
0 0 1.53583 0 63 0.88392 1.53583 73.8% - 0s
0 0 1.53568 0 65 0.88392 1.53568 73.7% - 0s
0 0 1.53565 0 67 0.88392 1.53565 73.7% - 0s
0 0 1.53565 0 63 0.88392 1.53565 73.7% - 0s
0 2 1.53565 0 60 0.88392 1.53565 73.7% - 0s
* 1485 524 77 0.9195256 1.12672 22.5% 10.0 2s
* 3892 162 76 0.9198937 0.95201 3.49% 9.5 4s
* 3897 137 74 0.9246706 0.95201 2.96% 9.5 4s
Cutting planes:
Gomory: 40
Cover: 5
Implied bound: 15
Projected implied bound: 21
Clique: 1
MIR: 24
Flow cover: 51
Flow path: 1
Inf proof: 17
Network: 1
Explored 4026 nodes (38828 simplex iterations) in 4.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.924671 0.919894 0.919526 0.883916
Optimal solution found (tolerance 1.00e-02)
Best objective 9.246705748866e-01, best bound 9.324089199649e-01, gap 0.8369%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppxylxifq.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprk6ogaf1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934036
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.759230e+00, 558 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75923 0 64 0.93404 1.75923 88.3% - 0s
0 0 1.59997 0 55 0.93404 1.59997 71.3% - 0s
0 0 1.59997 0 55 0.93404 1.59997 71.3% - 0s
0 0 1.54627 0 61 0.93404 1.54627 65.5% - 0s
0 0 1.53941 0 60 0.93404 1.53941 64.8% - 0s
0 0 1.53736 0 60 0.93404 1.53736 64.6% - 0s
0 0 1.53736 0 61 0.93404 1.53736 64.6% - 0s
0 0 1.48976 0 62 0.93404 1.48976 59.5% - 0s
0 0 1.48349 0 62 0.93404 1.48349 58.8% - 0s
0 0 1.48347 0 64 0.93404 1.48347 58.8% - 0s
0 0 1.46882 0 65 0.93404 1.46882 57.3% - 0s
0 0 1.46678 0 65 0.93404 1.46678 57.0% - 0s
0 0 1.46606 0 64 0.93404 1.46606 57.0% - 0s
0 0 1.46606 0 64 0.93404 1.46606 57.0% - 0s
0 0 1.45780 0 65 0.93404 1.45780 56.1% - 0s
0 0 1.45726 0 66 0.93404 1.45726 56.0% - 0s
0 0 1.45726 0 66 0.93404 1.45726 56.0% - 0s
0 0 1.45720 0 67 0.93404 1.45720 56.0% - 0s
0 0 1.45720 0 67 0.93404 1.45720 56.0% - 0s
0 2 1.45720 0 64 0.93404 1.45720 56.0% - 0s
Cutting planes:
Gomory: 27
Cover: 5
Implied bound: 23
Projected implied bound: 21
MIR: 19
Flow cover: 49
Flow path: 2
Inf proof: 25
Explored 3505 nodes (36238 simplex iterations) in 3.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.934036
Optimal solution found (tolerance 1.00e-02)
Best objective 9.340357863481e-01, best bound 9.340357863481e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfp0hhurq.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4fky2n7k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.946125
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.748536e+00, 561 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74854 0 59 0.94612 1.74854 84.8% - 0s
0 0 1.69800 0 59 0.94612 1.69800 79.5% - 0s
0 0 1.69790 0 59 0.94612 1.69790 79.5% - 0s
0 0 1.62188 0 65 0.94612 1.62188 71.4% - 0s
0 0 1.62178 0 65 0.94612 1.62178 71.4% - 0s
0 0 1.60582 0 60 0.94612 1.60582 69.7% - 0s
0 0 1.60291 0 67 0.94612 1.60291 69.4% - 0s
0 0 1.57654 0 69 0.94612 1.57654 66.6% - 0s
0 0 1.56959 0 70 0.94612 1.56959 65.9% - 0s
0 0 1.56807 0 72 0.94612 1.56807 65.7% - 0s
0 0 1.56802 0 73 0.94612 1.56802 65.7% - 0s
0 0 1.56496 0 70 0.94612 1.56496 65.4% - 0s
0 0 1.56478 0 72 0.94612 1.56478 65.4% - 0s
0 0 1.56346 0 72 0.94612 1.56346 65.2% - 0s
0 0 1.56318 0 73 0.94612 1.56318 65.2% - 0s
0 0 1.56282 0 75 0.94612 1.56282 65.2% - 0s
0 0 1.56239 0 73 0.94612 1.56239 65.1% - 0s
0 0 1.56226 0 70 0.94612 1.56226 65.1% - 0s
0 0 1.56226 0 65 0.94612 1.56226 65.1% - 0s
0 2 1.56226 0 65 0.94612 1.56226 65.1% - 0s
Cutting planes:
Gomory: 32
Cover: 8
Implied bound: 21
Projected implied bound: 25
Clique: 1
MIR: 23
Flow cover: 53
Inf proof: 10
Explored 3200 nodes (34180 simplex iterations) in 3.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.946125
Optimal solution found (tolerance 1.00e-02)
Best objective 9.461248180091e-01, best bound 9.461248180091e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpraq2m7k6.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfr2bpjzw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.949924
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.720199e+00, 635 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72020 0 60 0.94992 1.72020 81.1% - 0s
0 0 1.67373 0 63 0.94992 1.67373 76.2% - 0s
0 0 1.67365 0 63 0.94992 1.67365 76.2% - 0s
0 0 1.60241 0 73 0.94992 1.60241 68.7% - 0s
0 0 1.58652 0 80 0.94992 1.58652 67.0% - 0s
0 0 1.57130 0 81 0.94992 1.57130 65.4% - 0s
0 0 1.57126 0 83 0.94992 1.57126 65.4% - 0s
0 0 1.56571 0 87 0.94992 1.56571 64.8% - 0s
0 0 1.56475 0 84 0.94992 1.56475 64.7% - 0s
0 0 1.56411 0 83 0.94992 1.56411 64.7% - 0s
0 0 1.56410 0 84 0.94992 1.56410 64.7% - 0s
0 0 1.56406 0 84 0.94992 1.56406 64.7% - 0s
0 0 1.56406 0 84 0.94992 1.56406 64.7% - 0s
0 0 1.56406 0 84 0.94992 1.56406 64.7% - 0s
0 2 1.56406 0 84 0.94992 1.56406 64.7% - 0s
H 1487 657 0.9499239 1.20292 26.6% 10.6 1s
* 3384 73 78 0.9509727 0.98522 3.60% 8.7 2s
H 3659 22 0.9524160 0.96312 1.12% 8.4 2s
Explored 3707 nodes (32065 simplex iterations) in 2.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.952416 0.950973 0.949924 0.949924
Optimal solution found (tolerance 1.00e-02)
Best objective 9.524159885485e-01, best bound 9.607236924940e-01, gap 0.8723%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfdc853nh.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl4t5n0xr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.917272
Presolve removed 390 rows and 245 columns
Presolve time: 0.01s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.657863e+00, 668 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65786 0 62 0.91727 1.65786 80.7% - 0s
0 0 1.61229 0 68 0.91727 1.61229 75.8% - 0s
0 0 1.61220 0 69 0.91727 1.61220 75.8% - 0s
0 0 1.55966 0 79 0.91727 1.55966 70.0% - 0s
0 0 1.54782 0 84 0.91727 1.54782 68.7% - 0s
0 0 1.50465 0 87 0.91727 1.50465 64.0% - 0s
0 0 1.49896 0 88 0.91727 1.49896 63.4% - 0s
0 0 1.48551 0 88 0.91727 1.48551 61.9% - 0s
0 0 1.48551 0 90 0.91727 1.48551 61.9% - 0s
0 0 1.47002 0 88 0.91727 1.47002 60.3% - 0s
0 0 1.47002 0 88 0.91727 1.47002 60.3% - 0s
0 0 1.46903 0 89 0.91727 1.46903 60.2% - 0s
0 0 1.46903 0 90 0.91727 1.46903 60.2% - 0s
0 0 1.46856 0 84 0.91727 1.46856 60.1% - 0s
0 0 1.46805 0 90 0.91727 1.46805 60.0% - 0s
0 0 1.46796 0 91 0.91727 1.46796 60.0% - 0s
0 0 1.46796 0 81 0.91727 1.46796 60.0% - 0s
0 2 1.46796 0 81 0.91727 1.46796 60.0% - 0s
Cutting planes:
Gomory: 18
Cover: 6
Implied bound: 16
Projected implied bound: 34
Clique: 1
MIR: 16
Flow cover: 75
Flow path: 1
Inf proof: 16
Explored 4472 nodes (42836 simplex iterations) in 4.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.917272
Optimal solution found (tolerance 1.00e-02)
Best objective 9.172721502289e-01, best bound 9.240234313073e-01, gap 0.7360%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp47xltru5.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa81dh1e_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.925471
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.709091e+00, 700 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70909 0 64 0.92547 1.70909 84.7% - 0s
0 0 1.66717 0 70 0.92547 1.66717 80.1% - 0s
0 0 1.66689 0 71 0.92547 1.66689 80.1% - 0s
0 0 1.51518 0 69 0.92547 1.51518 63.7% - 0s
0 0 1.51518 0 69 0.92547 1.51518 63.7% - 0s
0 0 1.49219 0 73 0.92547 1.49219 61.2% - 0s
0 0 1.49199 0 72 0.92547 1.49199 61.2% - 0s
0 0 1.47427 0 70 0.92547 1.47427 59.3% - 0s
0 0 1.47427 0 70 0.92547 1.47427 59.3% - 0s
0 0 1.47371 0 79 0.92547 1.47371 59.2% - 0s
0 0 1.47353 0 81 0.92547 1.47353 59.2% - 0s
0 0 1.47353 0 81 0.92547 1.47353 59.2% - 0s
0 0 1.47296 0 83 0.92547 1.47296 59.2% - 0s
0 0 1.47296 0 71 0.92547 1.47296 59.2% - 0s
0 2 1.47296 0 71 0.92547 1.47296 59.2% - 0s
4716 665 0.93966 55 37 0.92547 1.00366 8.45% 11.0 5s
* 6037 359 75 0.9280264 0.96697 4.20% 10.4 5s
Cutting planes:
Gomory: 35
Cover: 6
Implied bound: 23
Projected implied bound: 25
MIR: 11
Flow cover: 47
Flow path: 2
Inf proof: 42
Explored 6550 nodes (67360 simplex iterations) in 6.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.928026 0.925471
Optimal solution found (tolerance 1.00e-02)
Best objective 9.280264493126e-01, best bound 9.314235346198e-01, gap 0.3661%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu0bf3bul.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjvo7wzp7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.930738
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.685925e+00, 765 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68592 0 70 0.93074 1.68592 81.1% - 0s
0 0 1.64622 0 76 0.93074 1.64622 76.9% - 0s
0 0 1.64614 0 78 0.93074 1.64614 76.9% - 0s
0 0 1.49384 0 75 0.93074 1.49384 60.5% - 0s
0 0 1.49353 0 72 0.93074 1.49353 60.5% - 0s
0 0 1.47409 0 71 0.93074 1.47409 58.4% - 0s
0 0 1.47352 0 78 0.93074 1.47352 58.3% - 0s
0 0 1.45404 0 79 0.93074 1.45404 56.2% - 0s
0 0 1.45401 0 78 0.93074 1.45401 56.2% - 0s
0 0 1.45385 0 76 0.93074 1.45385 56.2% - 0s
0 0 1.45358 0 81 0.93074 1.45358 56.2% - 0s
0 0 1.45357 0 83 0.93074 1.45357 56.2% - 0s
0 0 1.45325 0 82 0.93074 1.45325 56.1% - 0s
0 0 1.45325 0 72 0.93074 1.45325 56.1% - 0s
0 2 1.45325 0 72 0.93074 1.45325 56.1% - 0s
4352 819 0.99438 40 42 0.93074 1.01922 9.51% 11.9 5s
Cutting planes:
Learned: 1
Gomory: 34
Cover: 6
Implied bound: 29
Projected implied bound: 37
Clique: 1
MIR: 15
Flow cover: 73
Inf proof: 65
Explored 6587 nodes (85490 simplex iterations) in 7.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.930738
Optimal solution found (tolerance 1.00e-02)
Best objective 9.307384206665e-01, best bound 9.360992579923e-01, gap 0.5760%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4k4q6obw.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpegmbf1ln.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.897826
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.625489e+00, 837 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62549 0 69 0.89783 1.62549 81.0% - 0s
0 0 1.58671 0 77 0.89783 1.58671 76.7% - 0s
0 0 1.58597 0 76 0.89783 1.58597 76.6% - 0s
0 0 1.41193 0 67 0.89783 1.41193 57.3% - 0s
0 0 1.41193 0 67 0.89783 1.41193 57.3% - 0s
0 0 1.40047 0 75 0.89783 1.40047 56.0% - 0s
0 0 1.40000 0 75 0.89783 1.40000 55.9% - 0s
0 0 1.39900 0 76 0.89783 1.39900 55.8% - 0s
0 0 1.39900 0 76 0.89783 1.39900 55.8% - 0s
0 0 1.39770 0 72 0.89783 1.39770 55.7% - 0s
0 0 1.39701 0 84 0.89783 1.39701 55.6% - 0s
0 0 1.39125 0 88 0.89783 1.39125 55.0% - 0s
0 0 1.39080 0 88 0.89783 1.39080 54.9% - 0s
0 0 1.39079 0 89 0.89783 1.39079 54.9% - 0s
0 0 1.39003 0 90 0.89783 1.39003 54.8% - 0s
0 0 1.38941 0 91 0.89783 1.38941 54.8% - 0s
0 0 1.38941 0 92 0.89783 1.38941 54.8% - 0s
0 0 1.38829 0 91 0.89783 1.38829 54.6% - 0s
0 0 1.38829 0 92 0.89783 1.38829 54.6% - 0s
0 0 1.38829 0 82 0.89783 1.38829 54.6% - 0s
0 0 1.38810 0 84 0.89783 1.38810 54.6% - 0s
0 0 1.38809 0 83 0.89783 1.38809 54.6% - 0s
0 0 1.38414 0 84 0.89783 1.38414 54.2% - 0s
0 0 1.38269 0 82 0.89783 1.38269 54.0% - 0s
0 0 1.38255 0 82 0.89783 1.38255 54.0% - 0s
0 0 1.37914 0 84 0.89783 1.37914 53.6% - 0s
0 0 1.37600 0 83 0.89783 1.37600 53.3% - 0s
0 0 1.37584 0 84 0.89783 1.37584 53.2% - 0s
0 0 1.37584 0 85 0.89783 1.37584 53.2% - 0s
0 0 1.37492 0 78 0.89783 1.37492 53.1% - 0s
0 0 1.37481 0 82 0.89783 1.37481 53.1% - 0s
0 0 1.36678 0 80 0.89783 1.36678 52.2% - 0s
0 0 1.36320 0 86 0.89783 1.36320 51.8% - 0s
0 0 1.36320 0 86 0.89783 1.36320 51.8% - 0s
0 0 1.36318 0 89 0.89783 1.36318 51.8% - 0s
0 0 1.36285 0 87 0.89783 1.36285 51.8% - 0s
0 0 1.36285 0 87 0.89783 1.36285 51.8% - 0s
0 2 1.36285 0 84 0.89783 1.36285 51.8% - 0s
3567 569 cutoff 51 0.89783 0.98684 9.91% 11.7 5s
Cutting planes:
Learned: 1
Gomory: 15
Cover: 7
Implied bound: 28
Projected implied bound: 19
Clique: 1
MIR: 19
Flow cover: 57
Flow path: 2
Inf proof: 55
Explored 5847 nodes (66132 simplex iterations) in 6.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.897826
Optimal solution found (tolerance 1.00e-02)
Best objective 8.978263332944e-01, best bound 9.053487927049e-01, gap 0.8379%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxjy9y4gl.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkwoycwp_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.893373
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.595575e+00, 955 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59558 0 74 0.89337 1.59558 78.6% - 0s
0 0 1.56159 0 79 0.89337 1.56159 74.8% - 0s
0 0 1.56151 0 79 0.89337 1.56151 74.8% - 0s
0 0 1.40008 0 79 0.89337 1.40008 56.7% - 0s
0 0 1.39985 0 81 0.89337 1.39985 56.7% - 0s
0 0 1.38777 0 88 0.89337 1.38777 55.3% - 0s
0 0 1.38576 0 85 0.89337 1.38576 55.1% - 0s
0 0 1.38427 0 98 0.89337 1.38427 54.9% - 0s
0 0 1.37404 0 87 0.89337 1.37404 53.8% - 0s
0 0 1.37222 0 88 0.89337 1.37222 53.6% - 0s
0 0 1.37209 0 88 0.89337 1.37209 53.6% - 0s
0 0 1.37208 0 88 0.89337 1.37208 53.6% - 0s
0 0 1.37208 0 88 0.89337 1.37208 53.6% - 0s
0 0 1.37208 0 84 0.89337 1.37208 53.6% - 0s
0 2 1.37208 0 82 0.89337 1.37208 53.6% - 0s
* 1335 584 92 0.8934301 1.15424 29.2% 14.0 3s
3847 878 infeasible 24 0.89343 0.98783 10.6% 11.9 5s
Cutting planes:
Gomory: 29
Cover: 1
Implied bound: 22
Projected implied bound: 20
Clique: 1
MIR: 9
Flow cover: 60
Inf proof: 28
Explored 6176 nodes (68286 simplex iterations) in 6.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.89343 0.893373
Optimal solution found (tolerance 1.00e-02)
Best objective 8.934301293762e-01, best bound 9.020114922581e-01, gap 0.9605%
Run 4
Seed for training 792
Seed for simulation 79
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-242.70416897, 116.93324461, 221.96982486]])
fopt: 0.8177993842564409
fun: -0.8176263061717053
message: 'Optimization terminated successfully.'
nfev: 397
nit: 6
status: 0
success: True
x: array([ 84.91153411, 120.00001991, 261.16622044])
xopt: array([ 85., 120., 261.])
zopt: array([ 85., 205., 466.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcu04_f_d.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp12eifq_d.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.817799
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.621202e+00, 870 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62120 0 74 0.81780 1.62120 98.2% - 0s
0 0 1.55299 0 87 0.81780 1.55299 89.9% - 0s
0 0 1.54827 0 87 0.81780 1.54827 89.3% - 0s
0 0 1.54257 0 94 0.81780 1.54257 88.6% - 0s
0 0 1.54245 0 89 0.81780 1.54245 88.6% - 0s
0 0 1.53687 0 85 0.81780 1.53687 87.9% - 0s
0 0 1.53510 0 87 0.81780 1.53510 87.7% - 0s
0 0 1.53022 0 80 0.81780 1.53022 87.1% - 0s
0 0 1.53018 0 79 0.81780 1.53018 87.1% - 0s
0 0 1.53016 0 79 0.81780 1.53016 87.1% - 0s
0 0 1.52818 0 90 0.81780 1.52818 86.9% - 0s
0 0 1.52633 0 92 0.81780 1.52633 86.6% - 0s
0 0 1.52577 0 90 0.81780 1.52577 86.6% - 0s
0 0 1.52457 0 98 0.81780 1.52457 86.4% - 0s
0 0 1.52432 0 101 0.81780 1.52432 86.4% - 0s
0 0 1.52355 0 103 0.81780 1.52355 86.3% - 0s
0 0 1.52345 0 102 0.81780 1.52345 86.3% - 0s
0 0 1.52345 0 102 0.81780 1.52345 86.3% - 0s
0 0 1.52333 0 102 0.81780 1.52333 86.3% - 0s
0 0 1.52333 0 97 0.81780 1.52333 86.3% - 0s
0 2 1.52333 0 96 0.81780 1.52333 86.3% - 0s
* 2845 656 120 0.8833079 1.17596 33.1% 9.1 2s
* 4537 1162 95 0.8983870 1.09075 21.4% 8.0 2s
* 5100 1257 93 0.9109470 1.05968 16.3% 7.8 2s
* 5830 1131 82 0.9335521 1.04614 12.1% 7.5 3s
* 5931 1029 83 0.9446244 1.04614 10.7% 7.5 3s
* 6622 1076 79 0.9451009 1.02496 8.45% 7.4 3s
H 6936 1111 0.9455803 1.02021 7.89% 7.4 3s
* 6998 1019 78 0.9508961 1.01928 7.19% 7.4 4s
7822 950 0.97218 68 31 0.95090 1.01077 6.30% 7.5 5s
H 8335 731 0.9540115 0.99458 4.25% 7.5 5s
Cutting planes:
Implied bound: 9
MIR: 10
Flow cover: 22
Flow path: 1
Inf proof: 2
Explored 9538 nodes (72978 simplex iterations) in 6.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.954011 0.950896 0.94558 ... 0.817799
Optimal solution found (tolerance 0.00e+00)
Best objective 9.540114670797e-01, best bound 9.540114670797e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphcl5d881.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgkeb1t0a.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.00s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.2722614e+02 3.183566e+03 0.000000e+00 0s
168 1.9842072e+01 0.000000e+00 0.000000e+00 0s
Solved in 168 iterations and 0.01 seconds
Optimal objective 1.984207188e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00294318, -0.01395032, -0.01395032]])
fopt: 3.5534126956833925
fun: -3.564461751680684
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 19.98779859, -87.9999986 , -87.9999986 ])
xopt: array([20., 0., 0.])
zopt: array([20., 20., 20.])
*******************************************
Period: 2
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., -0.]])
fopt: 2.9360072398084025
fun: -2.9617546607939937
message: 'Optimization terminated successfully.'
nfev: 289
nit: 3
status: 0
success: True
x: array([39.97070453, -0.99946871, -1. ])
xopt: array([40., 0., 0.])
zopt: array([40., 40., 40.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.56004218e-04, 2.19160672e-04, 4.46218373e-06]])
fopt: 2.29794811140718
fun: -2.3159441223953317
message: 'Optimization terminated successfully.'
nfev: 150
nit: 2
status: 0
success: True
x: array([ 65.05405779, -87.99558182, -0.8595371 ])
xopt: array([65., 0., 0.])
zopt: array([65., 65., 65.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.18564932, 0.00420909, 0.00420909]])
fopt: 1.9796472340990814
fun: -1.9945569568055315
message: 'Optimization terminated successfully.'
nfev: 428
nit: 4
status: 0
success: True
x: array([89.02784292, -0.99578997, -1.98355739])
xopt: array([89., 0., 0.])
zopt: array([89., 89., 89.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., -0.]])
fopt: 1.8643892374432092
fun: -1.8694528511691353
message: 'Optimization terminated successfully.'
nfev: 194
nit: 2
status: 0
success: True
x: array([ 1.10112600e+02, -9.99998431e-03, 3.81914866e-01])
xopt: array([110., 0., 0.])
zopt: array([110., 110., 110.])
*******************************************
Period: 6
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.32494413e-04, 2.40372824e-09, 2.66299058e-06]])
fopt: 1.6724111924539362
fun: -1.6750920343908464
message: 'Optimization terminated successfully.'
nfev: 219
nit: 2
status: 0
success: True
x: array([125.85785767, 1.00052832, 2.0000022 ])
xopt: array([125., 2., 2.])
zopt: array([125., 127., 129.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.48204020e-04, -6.14516350e-08, 1.39368961e-05]])
fopt: 1.5491107249376725
fun: -1.5548404668219167
message: 'Optimization terminated successfully.'
nfev: 134
nit: 2
status: 0
success: True
x: array([144.24589977, 1.00052886, -1.71153162])
xopt: array([144., 1., 0.])
zopt: array([144., 145., 145.])
*******************************************
Period: 8
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.3605358102856446
fun: -1.3614228193629967
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([160.37791689, 1.00397608, 1.00284362])
xopt: array([160., 1., 1.])
zopt: array([160., 161., 162.])
*******************************************
Period: 9
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.283590207394681
fun: -1.2839525538158818
message: 'Optimization terminated successfully.'
nfev: 282
nit: 3
status: 0
success: True
x: array([179.98374 , 1.02810703, 1.00428243])
xopt: array([179., 2., 1.])
zopt: array([179., 181., 182.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00],
[ 0.00000000e+00, 1.05507098e+00, -2.78954702e-09]])
fopt: 1.1129174077482957
fun: -1.1137430061498246
message: 'Optimization terminated successfully.'
nfev: 289
nit: 3
status: 0
success: True
x: array([179.98374 , 4.05505917, -1. ])
xopt: array([179., 5., 0.])
zopt: array([179., 184., 184.])
*******************************************
Period: 11
direc: array([[0.61042645, 0.00303456, 0.00303456],
[0. , 1. , 0. ],
[0. , 0. , 0.98544467]])
fopt: 0.9971290983078425
fun: -0.9961196712219319
message: 'Optimization terminated successfully.'
nfev: 433
nit: 4
status: 0
success: True
x: array([202.76884913, 2.00034807, 5.04134185])
xopt: array([202., 3., 6.])
zopt: array([202., 205., 211.])
*******************************************
Period: 12
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.8775109377718078
fun: -0.8786937189924431
message: 'Optimization terminated successfully.'
nfev: 354
nit: 4
status: 0
success: True
x: array([202.91665593, 2.07257981, 4. ])
xopt: array([202., 3., 4.])
zopt: array([202., 205., 209.])
*******************************************
Period: 13
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.34803832e-05, 1.93480088e+00]])
fopt: 1.0334473272496432
fun: -1.031360115226844
message: 'Optimization terminated successfully.'
nfev: 518
nit: 7
status: 0
success: True
x: array([203.94947026, 1.0592255 , 60.75576056])
xopt: array([203., 1., 60.])
zopt: array([203., 204., 264.])
*******************************************
Period: 14
direc: array([[-6.99126923e-02, -2.79890276e-06, -0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.62300749e-03, -1.23958405e-03, -1.12170238e-01]])
fopt: 1.0103689377871232
fun: -1.0124913960813031
message: 'Optimization terminated successfully.'
nfev: 727
nit: 7
status: 0
success: True
x: array([ 1.99722307e+02, -2.00529254e-03, 8.90000242e+01])
xopt: array([200., 0., 89.])
zopt: array([200., 200., 289.])
*******************************************
Period: 15
direc: array([[1.31088158e-04, 5.25144902e-09, 6.45885627e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.32849745e-02, 2.11966188e-02, 1.01343881e+02]])
fopt: 1.009953190606888
fun: -1.0114422013683688
message: 'Optimization terminated successfully.'
nfev: 571
nit: 5
status: 0
success: True
x: array([204.03335768, 1.0297963 , 106.57154928])
xopt: array([204., 1., 106.])
zopt: array([204., 205., 311.])
*******************************************
Period: 16
direc: array([[ 1.67387116e-01, 8.26283990e-04, 1.67082980e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 2.01153018e-16, -1.00000000e-11]])
fopt: 0.4188392060779077
fun: -0.41744333527565186
message: 'Optimization terminated successfully.'
nfev: 407
nit: 4
status: 0
success: True
x: array([203.74557499, 2.00087475, 5.1408239 ])
xopt: array([203., 2., 6.])
zopt: array([203., 205., 211.])
*******************************************
Period: 17
direc: array([[3.95503734e-04, 1.67656043e-06, 1.52317050e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.3282617709015604
fun: -0.32674842494619866
message: 'Optimization terminated successfully.'
nfev: 353
nit: 3
status: 0
success: True
x: array([260.65861115, 2.10070484, 3.00000152])
xopt: array([260., 2., 4.])
zopt: array([260., 262., 266.])
*******************************************
Period: 18
direc: array([[4.70692505e-02, 1.79314207e-04, 3.90488919e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.62776033e-01, 5.45025345e+01, 3.49526203e+01]])
fopt: 0.43301199785670696
fun: -0.4309731504115582
message: 'Optimization terminated successfully.'
nfev: 444
nit: 6
status: 0
success: True
x: array([264.52044662, 62.0066082 , 41.03564465])
xopt: array([264., 62., 42.])
zopt: array([264., 326., 368.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 57.12820201, 38.08546801]])
fopt: 0.3969897838825043
fun: -0.3957236093733362
message: 'Optimization terminated successfully.'
nfev: 437
nit: 6
status: 0
success: True
x: array([261.60810564, 63.01107346, 44.13152603])
xopt: array([261., 63., 45.])
zopt: array([261., 324., 369.])
*******************************************
Period: 20
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0.93129898],
[ 0. , 67.05107983, 30.98376712]])
fopt: 0.3158075013610242
fun: -0.31424409143209
message: 'Optimization terminated successfully.'
nfev: 443
nit: 6
status: 0
success: True
x: array([261.79883828, 72.01216523, 36.00404786])
xopt: array([261., 72., 37.])
zopt: array([261., 333., 370.])
*******************************************
Period: 21
direc: array([[ 1. , 0. , 0. ],
[ -9.06486729, 8.76305169, 104.77299095],
[-90.22506804, 90.22503135, 0. ]])
fopt: 1.0675098930165376
fun: -1.0675098802106646
message: 'Optimization terminated successfully.'
nfev: 1052
nit: 14
status: 0
success: True
x: array([ 80.00001344, 127.00000007, 217. ])
xopt: array([ 80., 127., 217.])
zopt: array([ 80., 207., 424.])
*******************************************
Period: 22
direc: array([[ 65.14892273, 0.24809279, 0.5086698 ],
[ 0. , 1. , 0. ],
[-163.16393269, 154.23496623, 39.44136541]])
fopt: 0.9210110802552667
fun: -0.9181643712007856
message: 'Optimization terminated successfully.'
nfev: 622
nit: 9
status: 0
success: True
x: array([ 81.99824807, 130.00000271, 156.32584698])
xopt: array([ 81., 130., 157.])
zopt: array([ 81., 211., 368.])
*******************************************
Period: 23
direc: array([[-1.24114016e-04, 1.00019897e+00, 2.01017398e-04],
[-2.44902229e+02, 1.34085891e+02, 6.73476623e+01],
[-1.12452752e-04, 1.20299560e+01, 1.84318605e-04]])
fopt: 0.7927187340253056
fun: -0.792050297713595
message: 'Optimization terminated successfully.'
nfev: 815
nit: 10
status: 0
success: True
x: array([ 80.45650471, 183.11965137, 105.0045744 ])
xopt: array([ 80., 183., 106.])
zopt: array([ 80., 263., 369.])
*******************************************
Period: 24
direc: array([[ 64.66420889, 0.24777419, 0.5000227 ],
[ 0. , 1. , 0. ],
[ 33.56023332, -71.41059286, 111.39402737]])
fopt: -0.08479527754238697
fun: -0.6605876248849072
message: 'Optimization terminated successfully.'
nfev: 316
nit: 5
status: 0
success: True
x: array([ 340.72262372, -133.72272812, 218. ])
xopt: array([340., 0., 218.])
zopt: array([340., 340., 558.])
*******************************************
Period: 25
direc: array([[ 3.58488774e+01, 3.96868789e+00, 3.11306076e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.12958915e+01, 6.06634647e+01, 7.78765522e+01]])
fopt: 1.007800251843978
fun: -1.0057715512664416
message: 'Optimization terminated successfully.'
nfev: 559
nit: 8
status: 0
success: True
x: array([ 80.01350434, 135. , 205.04083019])
xopt: array([ 80., 135., 206.])
zopt: array([ 80., 215., 421.])
*******************************************
Period: 26
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-71.72686654, 59.00007002, 113.12473727]])
fopt: 0.9903356893541098
fun: -0.9888436677608607
message: 'Optimization terminated successfully.'
nfev: 310
nit: 5
status: 0
success: True
x: array([ 92.00032481, 115. , 218.14462078])
xopt: array([ 92., 115., 219.])
zopt: array([ 92., 207., 426.])
*******************************************
Period: 27
direc: array([[-2.30248894e+02, 1.48792470e+02, 2.97985260e+02],
[ 2.09240602e+01, -2.20091392e+01, -4.35520932e+01],
[ 2.33319365e-03, -1.99614283e+00, -4.85639338e-03]])
fopt: 0.9158285988817025
fun: -0.9126568089884494
message: 'Optimization terminated successfully.'
nfev: 765
nit: 9
status: 0
success: True
x: array([124.83270144, 82.00074418, 222.74101946])
xopt: array([124., 83., 222.])
zopt: array([124., 207., 429.])
*******************************************
Period: 28
direc: array([[-34.2279501 , 10.2772371 , 15.2187125 ],
[-45.77253417, 30.23879914, 45.05276534],
[ 7.45870413, 3.89992851, 2.16380412]])
fopt: 0.9165684620803181
fun: -0.9136554893501783
message: 'Optimization terminated successfully.'
nfev: 654
nit: 11
status: 0
success: True
x: array([117.59857588, 90. , 223.81366333])
xopt: array([117., 90., 223.])
zopt: array([117., 207., 430.])
*******************************************
Period: 29
direc: array([[-6.10303966, 3.01540633, 12.14205514],
[ 0. , 1. , 0. ],
[ 2.64790631, 1.99507636, 0.39603489]])
fopt: 0.8218269869964457
fun: -0.8201460835521743
message: 'Optimization terminated successfully.'
nfev: 689
nit: 11
status: 0
success: True
x: array([179.24782658, 28. , 231.60492897])
xopt: array([179., 28., 231.])
zopt: array([179., 207., 438.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkhu7jkd4.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpstxxo8s9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.04321
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.04321
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0llwho54.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiy7r_a_o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25968
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.936007e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.9360072 2.93601 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.93601 1.25968
Optimal solution found (tolerance 1.00e-02)
Best objective 2.936007239808e+00, best bound 2.936007239808e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzch3my8y.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvlbu6a8y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.78254
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.436671e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.43667 0 3 1.78254 2.43667 36.7% - 0s
H 0 0 2.2979481 2.43667 6.04% - 0s
0 0 cutoff 0 2.29795 2.29795 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.29795 1.78254
Optimal solution found (tolerance 1.00e-02)
Best objective 2.297948111407e+00, best bound 2.297948111407e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_xq1izo3.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6mr87bxo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.53398
Presolve removed 130 rows and 91 columns
Presolve time: 0.01s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 2.240369e+00, 33 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24037 0 8 1.53398 2.24037 46.0% - 0s
H 0 0 1.9796472 2.24037 13.2% - 0s
0 0 2.00751 0 1 1.97965 2.00751 1.41% - 0s
0 0 cutoff 0 1.97965 1.97965 0.00% - 0s
0 0 cutoff 0 1.97965 1.97965 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 2
Explored 1 nodes (44 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.97965 1.53398
Optimal solution found (tolerance 1.00e-02)
Best objective 1.979647234099e+00, best bound 1.979647234099e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn52tzycs.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7h8p_38v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3725
Presolve removed 145 rows and 100 columns
Presolve time: 0.01s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 2.373785e+00, 51 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.37379 0 3 1.37250 2.37379 73.0% - 0s
H 0 0 1.9895504 2.37379 19.3% - 0s
0 0 2.04723 0 1 1.98955 2.04723 2.90% - 0s
0 0 2.04723 0 1 1.98955 2.04723 2.90% - 0s
0 0 2.03777 0 3 1.98955 2.03777 2.42% - 0s
0 0 2.03676 0 3 1.98955 2.03676 2.37% - 0s
0 0 2.03670 0 3 1.98955 2.03670 2.37% - 0s
0 0 2.03551 0 3 1.98955 2.03551 2.31% - 0s
0 0 2.03535 0 3 1.98955 2.03535 2.30% - 0s
0 0 2.03521 0 3 1.98955 2.03521 2.29% - 0s
0 0 2.03521 0 3 1.98955 2.03521 2.29% - 0s
0 0 2.03521 0 1 1.98955 2.03521 2.29% - 0s
0 0 cutoff 0 1.98955 1.98955 0.00% - 0s
Cutting planes:
MIR: 2
Network: 1
Explored 1 nodes (91 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.98955 1.3725
Optimal solution found (tolerance 1.00e-02)
Best objective 1.989550424677e+00, best bound 1.989550424677e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfa7jj4k1.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2icmo42d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.52534
Presolve removed 136 rows and 91 columns
Presolve time: 0.01s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.718967e+00, 100 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.71897 0 8 1.52534 2.71897 78.3% - 0s
0 0 2.19895 0 7 1.52534 2.19895 44.2% - 0s
0 0 2.16745 0 8 1.52534 2.16745 42.1% - 0s
0 0 2.16565 0 9 1.52534 2.16565 42.0% - 0s
0 0 2.16565 0 9 1.52534 2.16565 42.0% - 0s
0 0 2.14839 0 9 1.52534 2.14839 40.8% - 0s
0 0 2.14835 0 9 1.52534 2.14835 40.8% - 0s
0 0 2.14831 0 9 1.52534 2.14831 40.8% - 0s
0 0 2.14801 0 8 1.52534 2.14801 40.8% - 0s
0 0 2.14801 0 8 1.52534 2.14801 40.8% - 0s
0 0 2.14525 0 8 1.52534 2.14525 40.6% - 0s
0 0 2.14282 0 8 1.52534 2.14282 40.5% - 0s
0 0 2.14057 0 8 1.52534 2.14057 40.3% - 0s
0 0 2.14057 0 8 1.52534 2.14057 40.3% - 0s
H 0 0 1.8638362 2.14057 14.8% - 0s
0 2 2.10481 0 9 1.86384 2.10481 12.9% - 0s
H 9 1 1.8735350 2.05897 9.90% 5.8 0s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 7
MIR: 3
Flow cover: 5
Explored 11 nodes (243 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.87353 1.86384 1.52534
Optimal solution found (tolerance 1.00e-02)
Best objective 1.873534966344e+00, best bound 1.878719456130e+00, gap 0.2767%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxj13kgxf.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe2edck1q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.50245
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.631285e+00, 117 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.63129 0 10 1.50245 2.63129 75.1% - 0s
0 0 2.34155 0 20 1.50245 2.34155 55.8% - 0s
0 0 2.18240 0 4 1.50245 2.18240 45.3% - 0s
0 0 2.18240 0 4 1.50245 2.18240 45.3% - 0s
0 0 2.17987 0 4 1.50245 2.17987 45.1% - 0s
0 0 2.17987 0 4 1.50245 2.17987 45.1% - 0s
H 0 0 1.8262665 2.17987 19.4% - 0s
0 2 2.17987 0 4 1.82627 2.17987 19.4% - 0s
H 9 2 1.8568753 1.96081 5.60% 7.2 0s
Cutting planes:
Gomory: 4
Implied bound: 6
MIR: 4
Flow cover: 18
Explored 17 nodes (318 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.85688 1.82627 1.50245
Optimal solution found (tolerance 1.00e-02)
Best objective 1.856875269400e+00, best bound 1.863607027803e+00, gap 0.3625%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgltlp84h.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp94pgx5nt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.55565
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.453777e+00, 141 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.45378 0 12 1.55565 2.45378 57.7% - 0s
0 0 2.13643 0 20 1.55565 2.13643 37.3% - 0s
0 0 2.01553 0 7 1.55565 2.01553 29.6% - 0s
0 0 2.01553 0 9 1.55565 2.01553 29.6% - 0s
0 0 2.01481 0 10 1.55565 2.01481 29.5% - 0s
0 0 2.01481 0 9 1.55565 2.01481 29.5% - 0s
H 0 0 1.7211729 2.01481 17.1% - 0s
0 2 2.01481 0 9 1.72117 2.01481 17.1% - 0s
Cutting planes:
Gomory: 5
Implied bound: 6
MIR: 2
Flow cover: 17
Explored 17 nodes (364 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.72117 1.55565
Optimal solution found (tolerance 1.00e-02)
Best objective 1.721172930205e+00, best bound 1.727063218808e+00, gap 0.3422%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr9pvywv2.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp9o83djp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.45257
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.449068e+00, 172 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.44907 0 13 1.45257 2.44907 68.6% - 0s
0 0 2.12140 0 27 1.45257 2.12140 46.0% - 0s
0 0 1.99857 0 7 1.45257 1.99857 37.6% - 0s
0 0 1.96985 0 13 1.45257 1.96985 35.6% - 0s
0 0 1.96977 0 13 1.45257 1.96977 35.6% - 0s
0 0 1.96902 0 15 1.45257 1.96902 35.6% - 0s
0 0 1.96902 0 15 1.45257 1.96902 35.6% - 0s
H 0 0 1.7010251 1.96902 15.8% - 0s
0 2 1.96902 0 15 1.70103 1.96902 15.8% - 0s
H 31 3 1.7010252 1.78762 5.09% 8.0 0s
Cutting planes:
Gomory: 7
Implied bound: 10
Clique: 1
MIR: 3
Flow cover: 21
Explored 51 nodes (693 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.70103 1.70103 1.45257
Optimal solution found (tolerance 1.00e-02)
Best objective 1.701025194996e+00, best bound 1.709112560848e+00, gap 0.4754%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfqx_1tnz.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpprb07b0f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.47838
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.306668e+00, 182 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.30667 0 15 1.47838 2.30667 56.0% - 0s
0 0 1.97387 0 26 1.47838 1.97387 33.5% - 0s
0 0 1.88494 0 14 1.47838 1.88494 27.5% - 0s
0 0 1.87680 0 12 1.47838 1.87680 26.9% - 0s
0 0 1.87528 0 13 1.47838 1.87528 26.8% - 0s
0 0 1.87525 0 14 1.47838 1.87525 26.8% - 0s
0 0 1.87512 0 14 1.47838 1.87512 26.8% - 0s
0 0 1.87512 0 13 1.47838 1.87512 26.8% - 0s
0 2 1.87512 0 11 1.47838 1.87512 26.8% - 0s
* 58 8 20 1.5904958 1.73399 9.02% 6.6 0s
Cutting planes:
Gomory: 4
Implied bound: 10
MIR: 5
Flow cover: 22
Explored 87 nodes (862 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.5905 1.47838
Optimal solution found (tolerance 1.00e-02)
Best objective 1.590495831516e+00, best bound 1.593776103676e+00, gap 0.2062%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpczhof6vo.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqzrrc_lf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43031
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.111880e+00, 240 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11188 0 17 1.43031 2.11188 47.7% - 0s
0 0 1.79408 0 29 1.43031 1.79408 25.4% - 0s
0 0 1.76061 0 30 1.43031 1.76061 23.1% - 0s
0 0 1.76018 0 29 1.43031 1.76018 23.1% - 0s
0 0 1.76004 0 31 1.43031 1.76004 23.1% - 0s
0 0 1.76004 0 31 1.43031 1.76004 23.1% - 0s
H 0 0 1.4475697 1.76004 21.6% - 0s
0 2 1.76004 0 30 1.44757 1.76004 21.6% - 0s
* 68 6 19 1.4475697 1.50136 3.72% 5.2 0s
Cutting planes:
Gomory: 9
Implied bound: 10
MIR: 7
Flow cover: 22
Explored 85 nodes (851 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.44757 1.44757 1.43031
Optimal solution found (tolerance 1.00e-02)
Best objective 1.447569740416e+00, best bound 1.447569740416e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8a89hppq.pyomo.lp
Reading time = 0.01 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzl00di2y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29571
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.149872e+00, 247 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14987 0 19 1.29571 2.14987 65.9% - 0s
0 0 1.79779 0 29 1.29571 1.79779 38.7% - 0s
0 0 1.76718 0 19 1.29571 1.76718 36.4% - 0s
0 0 1.76712 0 18 1.29571 1.76712 36.4% - 0s
0 0 1.76712 0 20 1.29571 1.76712 36.4% - 0s
0 0 1.76712 0 20 1.29571 1.76712 36.4% - 0s
0 2 1.76712 0 20 1.29571 1.76712 36.4% - 0s
* 134 55 25 1.2984040 1.59261 22.7% 6.3 0s
* 230 63 25 1.4048581 1.57533 12.1% 5.6 0s
* 300 43 24 1.4355816 1.51851 5.78% 5.5 0s
Cutting planes:
Gomory: 10
Implied bound: 16
MIR: 4
Flow cover: 23
Flow path: 1
Inf proof: 2
Explored 424 nodes (2770 simplex iterations) in 0.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.43558 1.40486 1.2984 1.29571
Optimal solution found (tolerance 1.00e-02)
Best objective 1.435581553751e+00, best bound 1.447976846297e+00, gap 0.8634%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwqxhngy9.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpylti8pb4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27054
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.135537e+00, 275 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13554 0 23 1.27054 2.13554 68.1% - 0s
0 0 1.77698 0 28 1.27054 1.77698 39.9% - 0s
0 0 1.76722 0 28 1.27054 1.76722 39.1% - 0s
0 0 1.75921 0 17 1.27054 1.75921 38.5% - 0s
0 0 1.75837 0 15 1.27054 1.75837 38.4% - 0s
0 0 1.75823 0 16 1.27054 1.75823 38.4% - 0s
0 0 1.74470 0 18 1.27054 1.74470 37.3% - 0s
0 0 1.74467 0 18 1.27054 1.74467 37.3% - 0s
0 0 1.74016 0 32 1.27054 1.74016 37.0% - 0s
0 0 1.74016 0 24 1.27054 1.74016 37.0% - 0s
0 0 1.73208 0 30 1.27054 1.73208 36.3% - 0s
0 0 1.73170 0 33 1.27054 1.73170 36.3% - 0s
0 0 1.73161 0 33 1.27054 1.73161 36.3% - 0s
0 0 1.72871 0 33 1.27054 1.72871 36.1% - 0s
0 0 1.72766 0 33 1.27054 1.72766 36.0% - 0s
0 0 1.72578 0 33 1.27054 1.72578 35.8% - 0s
0 0 1.72573 0 33 1.27054 1.72573 35.8% - 0s
0 0 1.72425 0 37 1.27054 1.72425 35.7% - 0s
0 0 1.72418 0 37 1.27054 1.72418 35.7% - 0s
0 0 1.72418 0 37 1.27054 1.72418 35.7% - 0s
0 2 1.72418 0 37 1.27054 1.72418 35.7% - 0s
* 130 65 32 1.3407474 1.60603 19.8% 7.0 0s
* 293 67 31 1.3861863 1.51752 9.47% 6.4 0s
* 297 62 30 1.3925739 1.51752 8.97% 6.3 0s
* 558 0 29 1.4014013 1.40140 0.00% 5.8 0s
Cutting planes:
Gomory: 13
Cover: 3
Implied bound: 17
MIR: 6
Flow cover: 25
Inf proof: 5
Explored 562 nodes (3835 simplex iterations) in 0.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.4014 1.39257 1.38619 ... 1.27054
Optimal solution found (tolerance 1.00e-02)
Best objective 1.401401329439e+00, best bound 1.401401329439e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsdbxeqk5.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw1fmqof7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26861
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.056481e+00, 311 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05648 0 26 1.26861 2.05648 62.1% - 0s
0 0 1.71498 0 27 1.26861 1.71498 35.2% - 0s
0 0 1.71498 0 27 1.26861 1.71498 35.2% - 0s
0 0 1.71067 0 27 1.26861 1.71067 34.8% - 0s
0 0 1.70879 0 25 1.26861 1.70879 34.7% - 0s
0 0 1.70863 0 26 1.26861 1.70863 34.7% - 0s
0 0 1.69811 0 33 1.26861 1.69811 33.9% - 0s
0 0 1.69807 0 34 1.26861 1.69807 33.9% - 0s
0 0 1.69549 0 33 1.26861 1.69549 33.6% - 0s
0 0 1.69549 0 34 1.26861 1.69549 33.6% - 0s
0 0 1.69514 0 33 1.26861 1.69514 33.6% - 0s
0 0 1.69514 0 30 1.26861 1.69514 33.6% - 0s
0 2 1.69514 0 29 1.26861 1.69514 33.6% - 0s
* 201 49 36 1.3351147 1.65291 23.8% 6.8 0s
* 202 49 36 1.3368677 1.65291 23.6% 6.8 0s
* 480 53 32 1.3380081 1.42933 6.82% 6.3 0s
* 577 24 30 1.3447681 1.38431 2.94% 6.6 0s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 20
MIR: 5
Flow cover: 25
Flow path: 2
Inf proof: 15
Explored 644 nodes (4753 simplex iterations) in 0.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.34477 1.33801 1.33687 ... 1.26861
Optimal solution found (tolerance 1.00e-02)
Best objective 1.344768105773e+00, best bound 1.344768105773e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7n71ig1y.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppl24qn3d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20189
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.096835e+00, 371 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09683 0 29 1.20189 2.09683 74.5% - 0s
0 0 1.76271 0 34 1.20189 1.76271 46.7% - 0s
0 0 1.76271 0 34 1.20189 1.76271 46.7% - 0s
0 0 1.75047 0 30 1.20189 1.75047 45.6% - 0s
0 0 1.74946 0 31 1.20189 1.74946 45.6% - 0s
0 0 1.74862 0 30 1.20189 1.74862 45.5% - 0s
0 0 1.74862 0 30 1.20189 1.74862 45.5% - 0s
0 0 1.74229 0 33 1.20189 1.74229 45.0% - 0s
0 0 1.74227 0 33 1.20189 1.74227 45.0% - 0s
0 0 1.73883 0 32 1.20189 1.73883 44.7% - 0s
0 0 1.73858 0 32 1.20189 1.73858 44.7% - 0s
0 0 1.73828 0 33 1.20189 1.73828 44.6% - 0s
0 0 1.73828 0 31 1.20189 1.73828 44.6% - 0s
0 2 1.73828 0 31 1.20189 1.73828 44.6% - 0s
* 278 96 43 1.2906330 1.51032 17.0% 6.2 0s
* 284 95 44 1.2943612 1.51032 16.7% 6.2 0s
* 448 114 39 1.2992395 1.47719 13.7% 5.9 0s
Cutting planes:
Gomory: 14
Cover: 4
Implied bound: 16
MIR: 5
Flow cover: 34
Flow path: 1
Inf proof: 23
Explored 1460 nodes (9193 simplex iterations) in 0.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.29924 1.29436 1.29063 1.20189
Optimal solution found (tolerance 1.00e-02)
Best objective 1.299239473322e+00, best bound 1.299239473322e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt4he_09f.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd7vs5s9p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17466
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.065176e+00, 363 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06518 0 31 1.17466 2.06518 75.8% - 0s
0 0 1.73207 0 35 1.17466 1.73207 47.5% - 0s
0 0 1.73207 0 35 1.17466 1.73207 47.5% - 0s
0 0 1.71726 0 41 1.17466 1.71726 46.2% - 0s
0 0 1.71521 0 42 1.17466 1.71521 46.0% - 0s
0 0 1.71508 0 42 1.17466 1.71508 46.0% - 0s
0 0 1.70672 0 49 1.17466 1.70672 45.3% - 0s
0 0 1.70649 0 48 1.17466 1.70649 45.3% - 0s
0 0 1.69890 0 45 1.17466 1.69890 44.6% - 0s
0 0 1.69875 0 48 1.17466 1.69875 44.6% - 0s
0 0 1.69810 0 51 1.17466 1.69810 44.6% - 0s
0 0 1.69810 0 51 1.17466 1.69810 44.6% - 0s
0 2 1.69810 0 51 1.17466 1.69810 44.6% - 0s
* 499 178 47 1.2594665 1.42487 13.1% 7.0 0s
* 531 147 43 1.2843627 1.42454 10.9% 6.8 0s
Cutting planes:
Gomory: 17
Cover: 6
Implied bound: 24
Clique: 1
MIR: 12
Flow cover: 41
Inf proof: 22
Explored 1418 nodes (8870 simplex iterations) in 0.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.28436 1.25947 1.17466
Optimal solution found (tolerance 1.00e-02)
Best objective 1.284362730936e+00, best bound 1.284362730936e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_u4q0mnj.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkcwzjzzx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1772
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.989826e+00, 426 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98983 0 33 1.17720 1.98983 69.0% - 0s
0 0 1.66544 0 39 1.17720 1.66544 41.5% - 0s
0 0 1.64694 0 37 1.17720 1.64694 39.9% - 0s
0 0 1.64392 0 41 1.17720 1.64392 39.6% - 0s
0 0 1.64392 0 40 1.17720 1.64392 39.6% - 0s
0 0 1.63633 0 42 1.17720 1.63633 39.0% - 0s
0 0 1.63579 0 41 1.17720 1.63579 39.0% - 0s
0 0 1.63529 0 46 1.17720 1.63529 38.9% - 0s
0 0 1.63506 0 43 1.17720 1.63506 38.9% - 0s
0 0 1.63155 0 43 1.17720 1.63155 38.6% - 0s
0 0 1.63139 0 43 1.17720 1.63139 38.6% - 0s
0 0 1.63139 0 38 1.17720 1.63139 38.6% - 0s
0 2 1.63139 0 38 1.17720 1.63139 38.6% - 0s
H 570 154 1.2324932 1.37703 11.7% 6.5 0s
* 1458 114 41 1.2330990 1.30771 6.05% 6.0 1s
Cutting planes:
Gomory: 18
Cover: 9
Implied bound: 26
MIR: 13
Flow cover: 37
Flow path: 1
Inf proof: 33
Network: 1
Explored 1841 nodes (11846 simplex iterations) in 1.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.2331 1.23249 1.1772
Optimal solution found (tolerance 1.00e-02)
Best objective 1.233098989706e+00, best bound 1.233098989706e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpufuee79e.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpniq2t64e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12695
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.973708e+00, 410 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97371 0 37 1.12695 1.97371 75.1% - 0s
0 0 1.65010 0 43 1.12695 1.65010 46.4% - 0s
0 0 1.64548 0 43 1.12695 1.64548 46.0% - 0s
0 0 1.64345 0 40 1.12695 1.64345 45.8% - 0s
0 0 1.64310 0 43 1.12695 1.64310 45.8% - 0s
0 0 1.63719 0 45 1.12695 1.63719 45.3% - 0s
0 0 1.63691 0 45 1.12695 1.63691 45.3% - 0s
0 0 1.63626 0 41 1.12695 1.63626 45.2% - 0s
0 0 1.63626 0 37 1.12695 1.63626 45.2% - 0s
0 2 1.63626 0 37 1.12695 1.63626 45.2% - 0s
* 568 216 58 1.1393740 1.42007 24.6% 7.1 0s
* 918 291 48 1.1566629 1.37937 19.3% 7.0 0s
* 1086 299 45 1.1597892 1.36479 17.7% 7.1 0s
* 1187 276 45 1.2060076 1.35931 12.7% 7.1 0s
* 1929 240 47 1.2063250 1.30234 7.96% 6.8 1s
* 1930 239 47 1.2077302 1.30234 7.83% 6.8 1s
* 1931 238 46 1.2082070 1.30234 7.79% 6.8 1s
* 2145 162 41 1.2147617 1.27840 5.24% 6.6 1s
Cutting planes:
Gomory: 18
Cover: 12
Implied bound: 36
MIR: 18
Flow cover: 42
Flow path: 3
Inf proof: 40
Explored 2357 nodes (15639 simplex iterations) in 1.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 1.21476 1.20821 1.20773 ... 1.12695
Optimal solution found (tolerance 1.00e-02)
Best objective 1.214761678922e+00, best bound 1.216524129819e+00, gap 0.1451%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsripvano.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr0w5z1lp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12591
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.905098e+00, 424 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90510 0 41 1.12591 1.90510 69.2% - 0s
0 0 1.57897 0 47 1.12591 1.57897 40.2% - 0s
0 0 1.57580 0 52 1.12591 1.57580 40.0% - 0s
0 0 1.57383 0 50 1.12591 1.57383 39.8% - 0s
0 0 1.57344 0 53 1.12591 1.57344 39.7% - 0s
0 0 1.57011 0 52 1.12591 1.57011 39.5% - 0s
0 0 1.57006 0 54 1.12591 1.57006 39.4% - 0s
0 0 1.56892 0 54 1.12591 1.56892 39.3% - 0s
0 0 1.56892 0 54 1.12591 1.56892 39.3% - 0s
0 2 1.56892 0 54 1.12591 1.56892 39.3% - 0s
* 2384 365 55 1.1527667 1.25487 8.86% 6.6 1s
* 2420 352 52 1.1602439 1.25456 8.13% 6.6 1s
Cutting planes:
Gomory: 14
Cover: 14
Implied bound: 37
MIR: 18
Flow cover: 48
Flow path: 1
Inf proof: 26
Explored 3175 nodes (20180 simplex iterations) in 1.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16024 1.15277 1.12591
Optimal solution found (tolerance 1.00e-02)
Best objective 1.160243888405e+00, best bound 1.160243888405e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5tw6l5kh.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcypeyeif.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06321
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.879984e+00, 505 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87998 0 42 1.06321 1.87998 76.8% - 0s
0 0 1.54684 0 51 1.06321 1.54684 45.5% - 0s
0 0 1.53669 0 46 1.06321 1.53669 44.5% - 0s
0 0 1.53648 0 43 1.06321 1.53648 44.5% - 0s
0 0 1.52537 0 44 1.06321 1.52537 43.5% - 0s
0 0 1.52527 0 43 1.06321 1.52527 43.5% - 0s
0 0 1.52209 0 53 1.06321 1.52209 43.2% - 0s
0 0 1.52167 0 55 1.06321 1.52167 43.1% - 0s
0 0 1.51955 0 50 1.06321 1.51955 42.9% - 0s
0 0 1.51955 0 48 1.06321 1.51955 42.9% - 0s
0 2 1.51955 0 48 1.06321 1.51955 42.9% - 0s
* 2351 569 55 1.0757676 1.25212 16.4% 8.3 2s
* 2571 528 54 1.0914352 1.23457 13.1% 8.2 2s
* 2722 474 52 1.1204427 1.22627 9.45% 8.1 2s
* 2846 398 51 1.1274794 1.21434 7.70% 8.1 2s
Cutting planes:
Learned: 1
Gomory: 27
Cover: 4
Implied bound: 8
Projected implied bound: 16
Clique: 1
MIR: 5
Flow cover: 35
Inf proof: 15
Explored 3391 nodes (28379 simplex iterations) in 3.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.12748 1.12044 1.09144 ... 1.06321
Optimal solution found (tolerance 1.00e-02)
Best objective 1.127479436829e+00, best bound 1.127479436829e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyjokpedy.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqjua41dk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04637
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.813142e+00, 522 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81314 0 46 1.04637 1.81314 73.3% - 0s
0 0 1.47820 0 61 1.04637 1.47820 41.3% - 0s
0 0 1.45990 0 55 1.04637 1.45990 39.5% - 0s
0 0 1.45847 0 54 1.04637 1.45847 39.4% - 0s
0 0 1.45742 0 55 1.04637 1.45742 39.3% - 0s
0 0 1.45738 0 55 1.04637 1.45738 39.3% - 0s
0 0 1.44781 0 64 1.04637 1.44781 38.4% - 0s
0 0 1.44555 0 72 1.04637 1.44555 38.1% - 0s
0 0 1.44549 0 73 1.04637 1.44549 38.1% - 0s
0 0 1.44340 0 66 1.04637 1.44340 37.9% - 0s
0 0 1.44005 0 67 1.04637 1.44005 37.6% - 0s
0 0 1.44004 0 68 1.04637 1.44004 37.6% - 0s
0 0 1.43714 0 66 1.04637 1.43714 37.3% - 0s
0 0 1.43492 0 62 1.04637 1.43492 37.1% - 0s
0 0 1.43404 0 71 1.04637 1.43404 37.0% - 0s
0 0 1.43404 0 71 1.04637 1.43404 37.0% - 0s
0 0 1.43165 0 68 1.04637 1.43165 36.8% - 0s
0 0 1.43162 0 70 1.04637 1.43162 36.8% - 0s
0 0 1.43114 0 70 1.04637 1.43114 36.8% - 0s
0 0 1.43114 0 70 1.04637 1.43114 36.8% - 0s
0 2 1.43114 0 70 1.04637 1.43114 36.8% - 0s
* 1472 471 83 1.0618916 1.25957 18.6% 9.4 2s
* 2404 413 64 1.0630924 1.19310 12.2% 9.2 3s
H 3043 403 1.0631572 1.16363 9.45% 9.2 3s
* 3499 39 50 1.0675099 1.10369 3.39% 8.9 4s
Cutting planes:
Gomory: 24
Cover: 5
Implied bound: 12
Projected implied bound: 29
MIR: 17
Flow cover: 61
Inf proof: 40
Explored 3639 nodes (32918 simplex iterations) in 4.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.06751 1.06316 1.06309 ... 1.04637
Optimal solution found (tolerance 1.00e-02)
Best objective 1.067509893017e+00, best bound 1.067509893017e+00, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0ibpb13w.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1fafmuca.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0564
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.749116e+00, 609 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74912 0 53 1.05640 1.74912 65.6% - 0s
0 0 1.46169 0 57 1.05640 1.46169 38.4% - 0s
0 0 1.43051 0 63 1.05640 1.43051 35.4% - 0s
0 0 1.42988 0 63 1.05640 1.42988 35.4% - 0s
0 0 1.42987 0 63 1.05640 1.42987 35.4% - 0s
0 0 1.41995 0 65 1.05640 1.41995 34.4% - 0s
0 0 1.41899 0 66 1.05640 1.41899 34.3% - 0s
0 0 1.41887 0 66 1.05640 1.41887 34.3% - 0s
0 0 1.41662 0 70 1.05640 1.41662 34.1% - 0s
0 0 1.41655 0 72 1.05640 1.41655 34.1% - 0s
0 0 1.41278 0 75 1.05640 1.41278 33.7% - 0s
0 0 1.41237 0 75 1.05640 1.41237 33.7% - 0s
0 0 1.41237 0 75 1.05640 1.41237 33.7% - 0s
0 0 1.41237 0 75 1.05640 1.41237 33.7% - 0s
0 0 1.41237 0 68 1.05640 1.41237 33.7% - 0s
0 2 1.41237 0 68 1.05640 1.41237 33.7% - 0s
* 1602 402 67 1.0598110 1.18308 11.6% 10.0 2s
Cutting planes:
Gomory: 40
Implied bound: 18
Projected implied bound: 30
MIR: 9
Flow cover: 37
Flow path: 2
Inf proof: 36
Explored 4295 nodes (40268 simplex iterations) in 4.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.05981 1.0564
Optimal solution found (tolerance 1.00e-02)
Best objective 1.059810978858e+00, best bound 1.059810978858e+00, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkb6lgwjp.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcz2xt4au.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03166
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.685734e+00, 590 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68573 0 53 1.03166 1.68573 63.4% - 0s
0 0 1.63778 0 63 1.03166 1.63778 58.8% - 0s
0 0 1.63401 0 66 1.03166 1.63401 58.4% - 0s
0 0 1.63290 0 65 1.03166 1.63290 58.3% - 0s
0 0 1.63090 0 74 1.03166 1.63090 58.1% - 0s
0 0 1.63087 0 71 1.03166 1.63087 58.1% - 0s
0 0 1.62613 0 72 1.03166 1.62613 57.6% - 0s
0 0 1.62613 0 72 1.03166 1.62613 57.6% - 0s
0 0 1.62597 0 74 1.03166 1.62597 57.6% - 0s
0 0 1.62593 0 74 1.03166 1.62593 57.6% - 0s
0 0 1.62593 0 76 1.03166 1.62593 57.6% - 0s
0 0 1.62593 0 71 1.03166 1.62593 57.6% - 0s
0 2 1.62593 0 71 1.03166 1.62593 57.6% - 0s
Cutting planes:
Learned: 2
Gomory: 1
Cover: 1
Implied bound: 10
MIR: 8
Flow cover: 17
Flow path: 1
Inf proof: 7
Explored 3389 nodes (27942 simplex iterations) in 2.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.03166
Optimal solution found (tolerance 1.00e-02)
Best objective 1.031662616881e+00, best bound 1.031662616881e+00, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9xzvzfdg.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo_tllor2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0414
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.732169e+00, 627 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73217 0 52 1.04140 1.73217 66.3% - 0s
0 0 1.67924 0 63 1.04140 1.67924 61.2% - 0s
0 0 1.59188 0 75 1.04140 1.59188 52.9% - 0s
0 0 1.57193 0 71 1.04140 1.57193 50.9% - 0s
0 0 1.55939 0 82 1.04140 1.55939 49.7% - 0s
0 0 1.54758 0 84 1.04140 1.54758 48.6% - 0s
0 0 1.53632 0 81 1.04140 1.53632 47.5% - 0s
0 0 1.53584 0 83 1.04140 1.53584 47.5% - 0s
0 0 1.53238 0 84 1.04140 1.53238 47.1% - 0s
0 0 1.53081 0 84 1.04140 1.53081 47.0% - 0s
0 0 1.52129 0 83 1.04140 1.52129 46.1% - 0s
0 0 1.52093 0 85 1.04140 1.52093 46.0% - 0s
0 0 1.51981 0 83 1.04140 1.51981 45.9% - 0s
0 0 1.51981 0 83 1.04140 1.51981 45.9% - 0s
0 0 1.51981 0 83 1.04140 1.51981 45.9% - 0s
0 0 1.51981 0 83 1.04140 1.51981 45.9% - 0s
0 2 1.51981 0 70 1.04140 1.51981 45.9% - 0s
5055 160 1.06803 43 33 1.04140 1.08343 4.04% 10.1 5s
Cutting planes:
Gomory: 28
Cover: 6
Implied bound: 19
Projected implied bound: 15
MIR: 13
Flow cover: 52
Flow path: 2
Inf proof: 38
Explored 5372 nodes (53858 simplex iterations) in 5.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.0414
Optimal solution found (tolerance 1.00e-02)
Best objective 1.041402799311e+00, best bound 1.041402799311e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk3m4x7iq.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkreksy0o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01966
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.684175e+00, 672 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68418 0 55 1.01966 1.68418 65.2% - 0s
0 0 1.63689 0 67 1.01966 1.63689 60.5% - 0s
0 0 1.54879 0 72 1.01966 1.54879 51.9% - 0s
0 0 1.54652 0 70 1.01966 1.54652 51.7% - 0s
0 0 1.54360 0 85 1.01966 1.54360 51.4% - 0s
0 0 1.54046 0 82 1.01966 1.54046 51.1% - 0s
0 0 1.53897 0 78 1.01966 1.53897 50.9% - 0s
0 0 1.53893 0 80 1.01966 1.53893 50.9% - 0s
0 0 1.53688 0 78 1.01966 1.53688 50.7% - 0s
0 0 1.53681 0 78 1.01966 1.53681 50.7% - 0s
0 0 1.53644 0 76 1.01966 1.53644 50.7% - 0s
0 0 1.53644 0 80 1.01966 1.53644 50.7% - 0s
0 0 1.53639 0 83 1.01966 1.53639 50.7% - 0s
0 0 1.53639 0 75 1.01966 1.53639 50.7% - 0s
0 2 1.53639 0 73 1.01966 1.53639 50.7% - 0s
* 1557 485 95 1.0216939 1.21164 18.6% 11.9 3s
* 1559 454 94 1.0271671 1.21164 18.0% 11.9 3s
2983 449 infeasible 41 1.02717 1.14057 11.0% 11.4 5s
* 3199 464 74 1.0289826 1.13129 9.94% 11.2 5s
H 3254 430 1.0311364 1.12613 9.21% 11.2 5s
* 3895 166 82 1.0312583 1.08067 4.79% 10.9 6s
Cutting planes:
Gomory: 39
Cover: 5
Implied bound: 23
Projected implied bound: 36
Clique: 1
MIR: 11
Flow cover: 91
Flow path: 2
Inf proof: 32
Explored 4224 nodes (45948 simplex iterations) in 6.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.03126 1.03114 1.02898 ... 1.01966
Optimal solution found (tolerance 1.00e-02)
Best objective 1.031258286848e+00, best bound 1.031258286848e+00, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptmhxod65.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbb6fas9u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.994041
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.618933e+00, 664 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61893 0 54 0.99404 1.61893 62.9% - 0s
0 0 1.57315 0 67 0.99404 1.57315 58.3% - 0s
0 0 1.57315 0 68 0.99404 1.57315 58.3% - 0s
0 0 1.45713 0 76 0.99404 1.45713 46.6% - 0s
0 0 1.44727 0 73 0.99404 1.44727 45.6% - 0s
0 0 1.44338 0 86 0.99404 1.44338 45.2% - 0s
0 0 1.44320 0 86 0.99404 1.44320 45.2% - 0s
0 0 1.44194 0 89 0.99404 1.44194 45.1% - 0s
0 0 1.44162 0 85 0.99404 1.44162 45.0% - 0s
0 0 1.44148 0 87 0.99404 1.44148 45.0% - 0s
0 0 1.44148 0 82 0.99404 1.44148 45.0% - 0s
0 2 1.44148 0 80 0.99404 1.44148 45.0% - 0s
4078 476 cutoff 52 0.99404 1.07020 7.66% 11.7 5s
Cutting planes:
Gomory: 28
Cover: 1
Implied bound: 21
Projected implied bound: 36
MIR: 11
Flow cover: 64
Flow path: 2
Inf proof: 27
Explored 5218 nodes (59626 simplex iterations) in 6.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.994041
Optimal solution found (tolerance 1.00e-02)
Best objective 9.940405208677e-01, best bound 1.000627239345e+00, gap 0.6626%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpefsiwk1o.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfiqpcsd0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.971586
Presolve removed 416 rows and 261 columns
Presolve time: 0.03s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.614473e+00, 696 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61447 0 53 0.97159 1.61447 66.2% - 0s
0 0 1.57550 0 67 0.97159 1.57550 62.2% - 0s
0 0 1.57550 0 67 0.97159 1.57550 62.2% - 0s
0 0 1.47974 0 64 0.97159 1.47974 52.3% - 0s
0 0 1.47724 0 71 0.97159 1.47724 52.0% - 0s
0 0 1.46810 0 75 0.97159 1.46810 51.1% - 0s
0 0 1.46744 0 75 0.97159 1.46744 51.0% - 0s
0 0 1.46684 0 75 0.97159 1.46684 51.0% - 0s
0 0 1.46683 0 80 0.97159 1.46683 51.0% - 0s
0 0 1.46675 0 79 0.97159 1.46675 51.0% - 0s
0 0 1.46663 0 79 0.97159 1.46663 51.0% - 0s
0 0 1.46663 0 77 0.97159 1.46663 51.0% - 0s
0 2 1.46663 0 74 0.97159 1.46663 51.0% - 0s
3087 820 1.04656 45 46 0.97159 1.16019 19.4% 11.8 5s
Cutting planes:
Gomory: 29
Cover: 2
Implied bound: 19
Projected implied bound: 26
Clique: 1
MIR: 11
Flow cover: 79
Flow path: 2
Inf proof: 81
Explored 7234 nodes (80470 simplex iterations) in 8.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.971586
Optimal solution found (tolerance 1.00e-02)
Best objective 9.715862782907e-01, best bound 9.715862782907e-01, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfqh7nfxw.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5pqsun3n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960905
Presolve removed 429 rows and 269 columns
Presolve time: 0.03s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.598699e+00, 748 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59870 0 59 0.96090 1.59870 66.4% - 0s
0 0 1.56330 0 73 0.96090 1.56330 62.7% - 0s
0 0 1.56318 0 75 0.96090 1.56318 62.7% - 0s
0 0 1.48008 0 79 0.96090 1.48008 54.0% - 0s
0 0 1.46429 0 74 0.96090 1.46429 52.4% - 0s
0 0 1.45551 0 76 0.96090 1.45551 51.5% - 0s
0 0 1.45417 0 74 0.96090 1.45417 51.3% - 0s
0 0 1.45276 0 88 0.96090 1.45276 51.2% - 0s
0 0 1.45266 0 88 0.96090 1.45266 51.2% - 0s
0 0 1.45221 0 91 0.96090 1.45221 51.1% - 0s
0 0 1.45181 0 95 0.96090 1.45181 51.1% - 0s
0 0 1.45181 0 85 0.96090 1.45181 51.1% - 0s
0 2 1.45181 0 85 0.96090 1.45181 51.1% - 0s
2589 932 0.97407 59 38 0.96090 1.21343 26.3% 13.9 5s
8327 942 infeasible 49 0.96090 1.02959 7.15% 11.5 10s
Cutting planes:
Gomory: 29
Cover: 1
Implied bound: 31
Projected implied bound: 38
Clique: 1
MIR: 14
Flow cover: 81
Flow path: 2
Inf proof: 77
Explored 10185 nodes (112470 simplex iterations) in 11.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.960905
Optimal solution found (tolerance 1.00e-02)
Best objective 9.609046966717e-01, best bound 9.652516164675e-01, gap 0.4524%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmploz9btl8.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9iw2f9fz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.945861
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.569195e+00, 813 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56919 0 63 0.94586 1.56919 65.9% - 0s
0 0 1.53596 0 77 0.94586 1.53596 62.4% - 0s
0 0 1.53570 0 78 0.94586 1.53570 62.4% - 0s
0 0 1.46910 0 72 0.94586 1.46910 55.3% - 0s
0 0 1.46781 0 76 0.94586 1.46781 55.2% - 0s
0 0 1.46199 0 101 0.94586 1.46199 54.6% - 0s
0 0 1.45436 0 102 0.94586 1.45436 53.8% - 0s
0 0 1.45295 0 102 0.94586 1.45295 53.6% - 0s
0 0 1.45286 0 102 0.94586 1.45286 53.6% - 0s
0 0 1.45234 0 108 0.94586 1.45234 53.5% - 0s
0 0 1.45176 0 102 0.94586 1.45176 53.5% - 0s
0 0 1.45152 0 103 0.94586 1.45152 53.5% - 0s
0 0 1.45152 0 103 0.94586 1.45152 53.5% - 0s
0 0 1.45144 0 102 0.94586 1.45144 53.5% - 0s
0 0 1.45144 0 102 0.94586 1.45144 53.5% - 0s
0 0 1.45144 0 102 0.94586 1.45144 53.5% - 0s
0 2 1.45144 0 86 0.94586 1.45144 53.5% - 0s
2700 582 infeasible 33 0.94586 1.12212 18.6% 14.0 5s
* 3806 695 85 0.9465833 1.08348 14.5% 12.9 6s
* 4547 630 78 0.9481942 1.05150 10.9% 12.7 7s
* 4655 642 79 0.9487177 1.04823 10.5% 12.7 7s
* 4895 582 72 0.9489498 1.03805 9.39% 12.6 7s
* 5432 399 84 0.9502038 1.01701 7.03% 12.6 8s
Cutting planes:
Gomory: 43
Cover: 5
Implied bound: 14
Projected implied bound: 45
Clique: 1
MIR: 16
Flow cover: 81
Flow path: 1
Inf proof: 57
Explored 6162 nodes (77272 simplex iterations) in 9.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.950204 0.94895 0.948718 ... 0.945861
Optimal solution found (tolerance 1.00e-02)
Best objective 9.502038316951e-01, best bound 9.502038316951e-01, gap 0.0000%
Run 5
Seed for training 374
Seed for simulation 735
direc: array([[-8.19126023e-03, 1.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.92018360e+02, 2.19847542e+02, 1.46565028e+02]])
fopt: 0.7765620469101124
fun: -0.7756828050201575
message: 'Optimization terminated successfully.'
nfev: 505
nit: 7
status: 0
success: True
x: array([ 85.90522416, 205. , 129.00633136])
xopt: array([ 85., 205., 130.])
zopt: array([ 85., 290., 420.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpftp0xriv.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9294kcff.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.776562
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.613970e+00, 743 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61397 0 60 0.77656 1.61397 108% - 0s
0 0 1.60105 0 72 0.77656 1.60105 106% - 0s
0 0 1.60089 0 69 0.77656 1.60089 106% - 0s
0 0 1.57339 0 96 0.77656 1.57339 103% - 0s
0 0 1.56414 0 97 0.77656 1.56414 101% - 0s
0 0 1.54861 0 102 0.77656 1.54861 99.4% - 0s
0 0 1.54382 0 103 0.77656 1.54382 98.8% - 0s
0 0 1.53322 0 103 0.77656 1.53322 97.4% - 0s
0 0 1.53198 0 103 0.77656 1.53198 97.3% - 0s
0 0 1.52892 0 109 0.77656 1.52892 96.9% - 0s
0 0 1.52820 0 110 0.77656 1.52820 96.8% - 0s
0 0 1.52814 0 110 0.77656 1.52814 96.8% - 0s
0 0 1.52814 0 110 0.77656 1.52814 96.8% - 0s
0 0 1.52814 0 110 0.77656 1.52814 96.8% - 0s
0 0 1.52690 0 111 0.77656 1.52690 96.6% - 0s
0 0 1.52486 0 100 0.77656 1.52486 96.4% - 0s
0 0 1.52281 0 102 0.77656 1.52281 96.1% - 0s
0 0 1.52277 0 104 0.77656 1.52277 96.1% - 0s
0 0 1.52277 0 105 0.77656 1.52277 96.1% - 0s
0 0 1.52277 0 105 0.77656 1.52277 96.1% - 0s
0 0 1.52277 0 105 0.77656 1.52277 96.1% - 0s
0 0 1.52277 0 105 0.77656 1.52277 96.1% - 0s
0 2 1.52277 0 100 0.77656 1.52277 96.1% - 0s
* 3478 1076 86 0.7924161 1.09791 38.6% 9.2 2s
* 3871 1206 86 0.7960814 1.08808 36.7% 8.9 2s
* 3921 1081 97 0.8605234 1.08808 26.4% 8.9 2s
* 4535 1115 92 0.8650472 1.05818 22.3% 8.4 3s
* 4736 1103 82 0.8668646 1.04581 20.6% 8.4 3s
* 6066 914 73 0.8671314 0.97297 12.2% 8.2 4s
* 6110 870 88 0.8685030 0.97270 12.0% 8.1 4s
H 6179 901 0.8688032 0.97148 11.8% 8.1 4s
* 6186 900 73 0.8692392 0.97148 11.8% 8.1 4s
* 6256 834 70 0.8698995 0.96831 11.3% 8.1 4s
6745 823 infeasible 38 0.86990 0.94976 9.18% 8.0 5s
* 6840 807 74 0.8729573 0.94948 8.77% 8.0 5s
* 7029 785 70 0.8732914 0.94456 8.16% 8.0 5s
H 7122 724 0.8753874 0.94268 7.69% 8.0 5s
Cutting planes:
Learned: 3
Gomory: 1
Cover: 2
Implied bound: 11
MIR: 9
Flow cover: 25
Flow path: 1
Inf proof: 1
Explored 8415 nodes (67269 simplex iterations) in 6.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.875387 0.873291 0.872957 ... 0.865047
Optimal solution found (tolerance 0.00e+00)
Best objective 8.753874001709e-01, best bound 8.753874001709e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpttzzgpgx.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6p6eylj9.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.00s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.2780580e+02 3.185908e+03 0.000000e+00 0s
162 1.9438383e+01 0.000000e+00 0.000000e+00 0s
Solved in 162 iterations and 0.01 seconds
Optimal objective 1.943838332e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.18621879e-07, -1.07182427e-08, -4.82244830e-07]])
fopt: 3.076547788470454
fun: -3.085215872125686
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 23.1345761 , -1. , -87.99580146])
xopt: array([23., 0., 0.])
zopt: array([23., 23., 23.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.70432796e-03, 3.73195639e-03, 6.71042794e-05]])
fopt: 2.584723711048075
fun: -2.6095781452620876
message: 'Optimization terminated successfully.'
nfev: 124
nit: 2
status: 0
success: True
x: array([ 42.0862284 , -87.9762602 , -0.62019514])
xopt: array([42., 0., 0.])
zopt: array([42., 42., 42.])
*******************************************
Period: 3
direc: array([[0. , 0. , 1. ],
[0. , 1. , 0. ],
[0.15802634, 0. , 0. ]])
fopt: 2.422601909772645
fun: -2.4379753224372394
message: 'Optimization terminated successfully.'
nfev: 418
nit: 4
status: 0
success: True
x: array([ 63.00825312, 1. , -66.99373726])
xopt: array([63., 1., 0.])
zopt: array([63., 64., 64.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.28253185, -0.00732013, -0.33149678]])
fopt: 1.9175543674179434
fun: -1.9296276335061928
message: 'Optimization terminated successfully.'
nfev: 303
nit: 3
status: 0
success: True
x: array([ 77.97665458, -0.9943903 , -85.99765946])
xopt: array([78., 0., 0.])
zopt: array([78., 78., 78.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.47218789e-07, -7.26180999e-16, -0.00000000e+00]])
fopt: 1.8837480543753582
fun: -1.8890297462762853
message: 'Optimization terminated successfully.'
nfev: 295
nit: 2
status: 0
success: True
x: array([97.24911593, 1.00000028, 1. ])
xopt: array([97., 1., 1.])
zopt: array([97., 98., 99.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1486
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.44545755e-02, -1.09182114e-04, 1.40080250e-04]])
fopt: 1.5711629648887804
fun: -1.57228935257826
message: 'Optimization terminated successfully.'
nfev: 285
nit: 3
status: 0
success: True
x: array([141.62776128, 2.06020327, -0.98099353])
xopt: array([141., 2., 0.])
zopt: array([141., 143., 143.])
*******************************************
Period: 8
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2427: RuntimeWarning: overflow encountered in multiply return func(p + alpha*xi) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:345: RuntimeWarning: invalid value encountered in subtract R = z - IP #replenishmet order to reach zopt /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2012: RuntimeWarning: overflow encountered in double_scalars u = x + tol1 /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:305: RuntimeWarning: invalid value encountered in add P = a**n*np.sum(p*S - (r*RR + k*U + h*II)) #discounted profit in period n /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:221: RuntimeWarning: invalid value encountered in add IP = np.cumsum(self.I[n,:] + self.T[n,:] - self.B[n-1,:-1]) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:259: RuntimeWarning: invalid value encountered in double_scalars I[i] = I[i] + RnL[i]
direc: array([[ 1.37146289e-03, 9.67408677e-07, -1.26693641e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ nan, nan, nan]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1915
nit: 7
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1518
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.48627061e-07, 7.90249879e-10, -1.58049975e-09],
[ 3.66720936e-24, -6.45142294e-11, 6.90065356e-15]])
fopt: 1.0967810972107033
fun: -1.0980395225369568
message: 'Optimization terminated successfully.'
nfev: 365
nit: 4
status: 0
success: True
x: array([189.07603109, 4. , -0.81177202])
xopt: array([189., 5., 0.])
zopt: array([189., 194., 194.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 6.56420889, 12.98869066]])
fopt: 1.0278551976156134
fun: -1.0249601669370774
message: 'Optimization terminated successfully.'
nfev: 574
nit: 7
status: 0
success: True
x: array([209.65046278, 9.000575 , 18.02052966])
xopt: array([209., 9., 19.])
zopt: array([209., 218., 237.])
*******************************************
Period: 12
direc: array([[3.16388002e-01, 1.51619326e-03, 3.07583845e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.54185915e+00, 2.65576742e-02, 3.50859205e+01]])
fopt: 1.0451044876144562
fun: -1.041486383892464
message: 'Optimization terminated successfully.'
nfev: 372
nit: 4
status: 0
success: True
x: array([214.9472191 , 2.02108004, 40.00318476])
xopt: array([214., 2., 41.])
zopt: array([214., 216., 257.])
*******************************************
Period: 13
direc: array([[ 1.05889825e-04, -2.36232193e-03, -4.50454683e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.10181329e-10, -3.26681353e-12, -1.52855517e-12]])
fopt: 0.9955273506903378
fun: -0.9876535421953745
message: 'Optimization terminated successfully.'
nfev: 608
nit: 6
status: 0
success: True
x: array([207.60408734, 23.55203144, 43.3539762 ])
xopt: array([207., 23., 44.])
zopt: array([207., 230., 274.])
*******************************************
Period: 14
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-103.69553746, 39.52887458, 67.02388163]])
fopt: 1.1775736009834123
fun: -1.1761940558809005
message: 'Optimization terminated successfully.'
nfev: 390
nit: 6
status: 0
success: True
x: array([157.99261804, 54.0811748 , 91.08605765])
xopt: array([157., 55., 91.])
zopt: array([157., 212., 303.])
*******************************************
Period: 15
direc: array([[-3.34532253e-05, 1.30999607e-04, 4.72455757e-03],
[-2.27325697e+00, 3.00000000e+00, 0.00000000e+00],
[ 3.34493022e-11, -1.16075438e-07, -1.61423778e-11]])
fopt: 1.2291992448672584
fun: -1.2246054319552984
message: 'Optimization terminated successfully.'
nfev: 834
nit: 9
status: 0
success: True
x: array([ 90.99775808, 184.31882952, 38.06251322])
xopt: array([ 90., 184., 39.])
zopt: array([ 90., 274., 313.])
*******************************************
Period: 16
direc: array([[-1.50417338e+01, 4.08347468e+01, 4.95528522e+01],
[-2.00000081e+00, 2.00000202e+00, 2.41682676e-06],
[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 1.3217229497407308
fun: -1.3233785363354382
message: 'Optimization terminated successfully.'
nfev: 954
nit: 13
status: 0
success: True
x: array([ 86.05770939, 129.00031244, 121.07404585])
xopt: array([ 86., 129., 121.])
zopt: array([ 86., 215., 336.])
*******************************************
Period: 17
direc: array([[-87.63258621, 24.11629323, 149.56334742],
[ 0. , 1. , 0. ],
[ -9.50049701, -0.36742168, -25.54095437]])
fopt: 1.0491188449437847
fun: -1.0499480450742023
message: 'Optimization terminated successfully.'
nfev: 472
nit: 8
status: 0
success: True
x: array([178.23741414, 37.02419028, 143.00247123])
xopt: array([178., 37., 143.])
zopt: array([178., 215., 358.])
*******************************************
Period: 18
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.73042349e+02, 9.16220771e+01, 1.84331716e+02],
[-5.07757697e+00, 1.00605162e+01, -1.02248212e-06]])
fopt: 1.224098072286105
fun: -1.2231676680924513
message: 'Optimization terminated successfully.'
nfev: 1005
nit: 13
status: 0
success: True
x: array([ 86.00000023, 129. , 189.33447232])
xopt: array([ 86., 129., 189.])
zopt: array([ 86., 215., 404.])
*******************************************
Period: 19
direc: array([[ 1. , 0. , 0. ],
[-55.07316849, 53.23950225, 102.5604271 ],
[ -7.57376427, 5.04946298, 0. ]])
fopt: 1.2300233118371566
fun: -1.2248921733976001
message: 'Optimization terminated successfully.'
nfev: 1024
nit: 15
status: 0
success: True
x: array([ 91.00044663, 121.0000011 , 189. ])
xopt: array([ 91., 122., 189.])
zopt: array([ 91., 213., 402.])
*******************************************
Period: 20
direc: array([[ 6.60723348e-06, -0.00000000e+00, -2.74317148e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.12327318548930633
fun: -0.12115844531060085
message: 'Optimization terminated successfully.'
nfev: 432
nit: 4
status: 0
success: True
x: array([306.96885659, 2. , 4.06954079])
xopt: array([306., 2., 5.])
zopt: array([306., 308., 313.])
*******************************************
Period: 21
direc: array([[-1.00991386e+02, -1.16089684e-09, 9.51553411e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.49255654e-01, 4.23104056e+01, 8.46074553e+01]])
fopt: 1.0198103631376751
fun: -1.0197018447530992
message: 'Optimization terminated successfully.'
nfev: 553
nit: 7
status: 0
success: True
x: array([155.00008993, 48. , 238.03959697])
xopt: array([155., 48., 238.])
zopt: array([155., 203., 441.])
*******************************************
Period: 22
direc: array([[ 4.23942293e-07, 1.37830996e-09, 2.76342775e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.46185307e-15, -1.75681528e-17, -2.26239299e-08]])
fopt: 0.09502199771256178
fun: -0.09418842723710891
message: 'Optimization terminated successfully.'
nfev: 348
nit: 3
status: 0
success: True
x: array([308.58124503, 2. , 4.11888801])
xopt: array([308., 2., 5.])
zopt: array([308., 310., 315.])
*******************************************
Period: 23
direc: array([[7.44432408e-03, 2.40468429e-05, 2.40468429e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.09372961846548072
fun: -0.0924012459808042
message: 'Optimization terminated successfully.'
nfev: 258
nit: 3
status: 0
success: True
x: array([310.58325733, 2.0031255 , 3.00002362])
xopt: array([310., 2., 4.])
zopt: array([310., 312., 316.])
*******************************************
Period: 24
direc: array([[ 1.04080138e-01, 5.17073358e-03, 1.21393652e+02],
[-3.74597072e+00, 3.00003343e+00, 7.72802748e-01],
[-8.45932330e+01, 7.90246050e+01, -4.49180625e-02]])
fopt: 1.1100086607804105
fun: -1.1049884052202126
message: 'Optimization terminated successfully.'
nfev: 1416
nit: 19
status: 0
success: True
x: array([ 87.90291935, 110.00015181, 234.00000075])
xopt: array([ 88., 111., 234.])
zopt: array([ 88., 199., 433.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -47.59043621, 52.12192502]])
fopt: 0.154997481184945
fun: -0.7728495149095703
message: 'Optimization terminated successfully.'
nfev: 571
nit: 8
status: 0
success: True
x: array([ 309.67472455, -100.67452302, 233.00000337])
xopt: array([309., 0., 233.])
zopt: array([309., 309., 542.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 8.60757409e-05, 1.22405968e+02],
[ 0.00000000e+00, -2.19984031e-10, 1.00000000e+00],
[-1.81950615e+00, -2.06783176e-10, 9.31984792e-01]])
fopt: 0.925265254563865
fun: -0.9256323988242757
message: 'Optimization terminated successfully.'
nfev: 1086
nit: 12
status: 0
success: True
x: array([209.16517139, 1.00047962, 230.00002373])
xopt: array([209., 2., 230.])
zopt: array([209., 211., 441.])
*******************************************
Period: 27
direc: array([[ 2.91953442e-02, 0.00000000e+00, 9.39099611e-05],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.49133416e-09, -3.58957315e-05, -1.12302519e-11]])
fopt: 0.7360674300004774
fun: -0.7369425765622184
message: 'Optimization terminated successfully.'
nfev: 620
nit: 7
status: 0
success: True
x: array([255.06442733, 1.04402692, 182.256479 ])
xopt: array([255., 1., 182.])
zopt: array([255., 256., 438.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -87.53955358, 85.95739753]])
fopt: 0.197642295531984
fun: -0.8014114123879976
message: 'Optimization terminated successfully.'
nfev: 521
nit: 7
status: 0
success: True
x: array([310.47275739, -98.47278722, 224.0000011 ])
xopt: array([310., 0., 224.])
zopt: array([310., 310., 534.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 66.51933137, 44.34622091]])
fopt: 0.38925951359848543
fun: -0.3857359904875478
message: 'Optimization terminated successfully.'
nfev: 482
nit: 6
status: 0
success: True
x: array([309.87199869, 72.00004557, 49.34592762])
xopt: array([309., 72., 49.])
zopt: array([309., 381., 430.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4_l0mn0c.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxhrnu71z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [7e-02, 7e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.96966
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.07655 1.96966
Optimal solution found (tolerance 1.00e-02)
Best objective 3.076547788470e+00, best bound 3.076547788470e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuowxgp7b.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvve6dhrd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960933
Presolve removed 93 rows and 71 columns
Presolve time: 0.00s
Presolved: 6 rows, 5 columns, 17 nonzeros
Variable types: 2 continuous, 3 integer (2 binary)
Root relaxation: objective 2.601117e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.60112 0 1 0.96093 2.60112 171% - 0s
H 0 0 2.5847237 2.60112 0.63% - 0s
Explored 1 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.58472 0.960933
Optimal solution found (tolerance 1.00e-02)
Best objective 2.584723711048e+00, best bound 2.601116611048e+00, gap 0.6342%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_aw6yow7.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsz9uh32o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41534
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.674897e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.67490 0 3 1.41534 2.67490 89.0% - 0s
H 0 0 2.4248313 2.67490 10.3% - 0s
0 0 cutoff 0 2.42483 2.42483 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.42483 1.41534
Optimal solution found (tolerance 1.00e-02)
Best objective 2.424831292228e+00, best bound 2.424831292228e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1u1apxh7.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2qsb0s6v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.67721
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 2.226964e+00, 22 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22696 0 4 1.67721 2.22696 32.8% - 0s
H 0 0 1.9175544 2.22696 16.1% - 0s
0 0 cutoff 0 1.91755 1.91755 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow cover: 1
Explored 1 nodes (26 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.91755 1.67721
Optimal solution found (tolerance 1.00e-02)
Best objective 1.917554367418e+00, best bound 1.917554367418e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqlvmjnql.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzvs_07lc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.38462
Presolve removed 120 rows and 82 columns
Presolve time: 0.00s
Presolved: 117 rows, 93 columns, 412 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 2.625343e+00, 70 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.62534 0 4 1.38462 2.62534 89.6% - 0s
H 0 0 2.0703911 2.62534 26.8% - 0s
0 0 2.11765 0 1 2.07039 2.11765 2.28% - 0s
0 0 cutoff 0 2.07039 2.07039 0.00% - 0s
Cutting planes:
Flow cover: 4
Explored 1 nodes (105 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.07039 1.38462
Optimal solution found (tolerance 1.00e-02)
Best objective 2.070391147323e+00, best bound 2.070391147323e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6qt0x4os.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxbacsfep.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.60759
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.620958e+00, 103 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.62096 0 6 1.60759 2.62096 63.0% - 0s
H 0 0 1.7236109 2.62096 52.1% - 0s
0 0 2.12275 0 4 1.72361 2.12275 23.2% - 0s
0 0 2.12268 0 4 1.72361 2.12268 23.2% - 0s
0 0 2.12268 0 5 1.72361 2.12268 23.2% - 0s
0 0 2.12243 0 3 1.72361 2.12243 23.1% - 0s
0 0 2.12243 0 3 1.72361 2.12243 23.1% - 0s
0 2 2.12243 0 3 1.72361 2.12243 23.1% - 0s
H 4 4 1.9488608 2.04428 4.90% 3.8 0s
H 7 2 1.9600015 2.01654 2.88% 2.6 0s
Cutting planes:
Gomory: 4
Implied bound: 1
Clique: 2
MIR: 1
Flow cover: 6
Explored 11 nodes (189 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.96 1.94886 1.72361 1.60759
Optimal solution found (tolerance 1.00e-02)
Best objective 1.960001475961e+00, best bound 1.960001475961e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv3u90kzm.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1d4_bilx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.55461
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.571780e+00, 112 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.57178 0 8 1.55461 2.57178 65.4% - 0s
0 0 2.29733 0 14 1.55461 2.29733 47.8% - 0s
0 0 2.06980 0 6 1.55461 2.06980 33.1% - 0s
0 0 2.06960 0 6 1.55461 2.06960 33.1% - 0s
0 0 2.06960 0 6 1.55461 2.06960 33.1% - 0s
H 0 0 1.8884379 2.06960 9.59% - 0s
0 2 2.06960 0 6 1.88844 2.06960 9.59% - 0s
H 9 6 1.8987464 1.97512 4.02% 4.2 0s
Cutting planes:
Gomory: 6
Implied bound: 3
Clique: 2
MIR: 1
Flow cover: 14
Explored 23 nodes (288 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.89875 1.88844 1.55461
Optimal solution found (tolerance 1.00e-02)
Best objective 1.898746409702e+00, best bound 1.915065527046e+00, gap 0.8595%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0o2us1wa.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvawccsnd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57156
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.476818e+00, 150 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.47682 0 10 1.57156 2.47682 57.6% - 0s
0 0 2.11006 0 16 1.57156 2.11006 34.3% - 0s
0 0 1.97766 0 7 1.57156 1.97766 25.8% - 0s
0 0 1.96532 0 5 1.57156 1.96532 25.1% - 0s
0 0 1.96532 0 5 1.57156 1.96532 25.1% - 0s
H 0 0 1.7318804 1.96532 13.5% - 0s
0 2 1.96532 0 5 1.73188 1.96532 13.5% - 0s
* 31 1 12 1.7733714 1.77411 0.04% 4.2 0s
Cutting planes:
Gomory: 7
Implied bound: 4
Clique: 2
MIR: 2
Flow cover: 13
Explored 33 nodes (370 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.77337 1.73188 1.57156
Optimal solution found (tolerance 1.00e-02)
Best objective 1.773371391950e+00, best bound 1.773371391950e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprgf4nbgw.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp09hw4eyi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.48457
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.404375e+00, 161 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.40437 0 12 1.48457 2.40437 62.0% - 0s
0 0 2.02794 0 22 1.48457 2.02794 36.6% - 0s
0 0 2.02794 0 22 1.48457 2.02794 36.6% - 0s
0 0 1.89149 0 10 1.48457 1.89149 27.4% - 0s
0 0 1.89149 0 9 1.48457 1.89149 27.4% - 0s
0 0 1.89116 0 12 1.48457 1.89116 27.4% - 0s
0 0 1.89116 0 12 1.48457 1.89116 27.4% - 0s
H 0 0 1.6862257 1.89116 12.2% - 0s
0 2 1.89116 0 12 1.68623 1.89116 12.2% - 0s
* 45 0 16 1.6965573 1.69656 0.00% 5.1 0s
Cutting planes:
Gomory: 10
Implied bound: 7
Clique: 2
MIR: 3
Flow cover: 20
Explored 47 nodes (525 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.69656 1.68623 1.48457
Optimal solution found (tolerance 1.00e-02)
Best objective 1.696557306796e+00, best bound 1.696557306796e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzp6c41uw.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0js4_pqn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.47012
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.264420e+00, 178 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.26442 0 14 1.47012 2.26442 54.0% - 0s
0 0 1.88595 0 26 1.47012 1.88595 28.3% - 0s
0 0 1.88595 0 26 1.47012 1.88595 28.3% - 0s
0 0 1.75752 0 11 1.47012 1.75752 19.5% - 0s
0 0 1.75731 0 9 1.47012 1.75731 19.5% - 0s
0 0 1.75725 0 12 1.47012 1.75725 19.5% - 0s
0 0 1.75719 0 12 1.47012 1.75719 19.5% - 0s
0 0 1.75719 0 12 1.47012 1.75719 19.5% - 0s
H 0 0 1.5791259 1.75719 11.3% - 0s
0 2 1.75719 0 12 1.57913 1.75719 11.3% - 0s
Cutting planes:
Gomory: 7
Implied bound: 7
Clique: 2
MIR: 3
Flow cover: 20
Explored 43 nodes (562 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.57913 1.47012
Optimal solution found (tolerance 1.00e-02)
Best objective 1.579125893247e+00, best bound 1.579125893247e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp05w8jl13.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy7ntu5ea.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.40177
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.153197e+00, 204 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15320 0 17 1.40177 2.15320 53.6% - 0s
0 0 1.77058 0 25 1.40177 1.77058 26.3% - 0s
0 0 1.77058 0 25 1.40177 1.77058 26.3% - 0s
0 0 1.73625 0 23 1.40177 1.73625 23.9% - 0s
0 0 1.73595 0 27 1.40177 1.73595 23.8% - 0s
0 0 1.69338 0 28 1.40177 1.69338 20.8% - 0s
0 0 1.66774 0 28 1.40177 1.66774 19.0% - 0s
0 0 1.66774 0 30 1.40177 1.66774 19.0% - 0s
0 0 1.66774 0 30 1.40177 1.66774 19.0% - 0s
0 2 1.66774 0 30 1.40177 1.66774 19.0% - 0s
* 70 22 17 1.4228039 1.54673 8.71% 6.6 0s
* 74 21 21 1.4887109 1.54673 3.90% 6.3 0s
Cutting planes:
Gomory: 10
Implied bound: 3
Clique: 2
MIR: 4
Flow cover: 23
Explored 94 nodes (1013 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.48871 1.4228 1.40177
Optimal solution found (tolerance 1.00e-02)
Best objective 1.488710860942e+00, best bound 1.490980782212e+00, gap 0.1525%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi4ruyn8n.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp47egw_m3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27754
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.472428e+00, 261 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.47243 0 19 1.27754 2.47243 93.5% - 0s
0 0 2.04818 0 27 1.27754 2.04818 60.3% - 0s
0 0 2.04814 0 27 1.27754 2.04814 60.3% - 0s
0 0 2.01160 0 28 1.27754 2.01160 57.5% - 0s
0 0 2.00104 0 35 1.27754 2.00104 56.6% - 0s
0 0 2.00087 0 36 1.27754 2.00087 56.6% - 0s
0 0 1.99202 0 33 1.27754 1.99202 55.9% - 0s
0 0 1.99141 0 36 1.27754 1.99141 55.9% - 0s
0 0 1.99140 0 36 1.27754 1.99140 55.9% - 0s
0 0 1.99140 0 36 1.27754 1.99140 55.9% - 0s
0 0 1.99140 0 29 1.27754 1.99140 55.9% - 0s
0 2 1.99140 0 29 1.27754 1.99140 55.9% - 0s
* 126 44 26 1.3074020 1.72533 32.0% 6.3 0s
* 232 68 31 1.4683349 1.69683 15.6% 5.1 0s
* 418 48 25 1.4980229 1.66594 11.2% 5.3 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 5
Clique: 3
MIR: 6
Flow cover: 32
Inf proof: 5
Explored 493 nodes (3268 simplex iterations) in 0.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.49802 1.46833 1.3074 1.27754
Optimal solution found (tolerance 1.00e-02)
Best objective 1.498022891591e+00, best bound 1.505208583745e+00, gap 0.4797%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2ueb72ej.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmpi4l5_4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.33354
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.392916e+00, 298 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.39292 0 22 1.33354 2.39292 79.4% - 0s
0 0 1.97014 0 29 1.33354 1.97014 47.7% - 0s
0 0 1.97013 0 30 1.33354 1.97013 47.7% - 0s
0 0 1.95954 0 34 1.33354 1.95954 46.9% - 0s
0 0 1.95933 0 39 1.33354 1.95933 46.9% - 0s
0 0 1.93876 0 34 1.33354 1.93876 45.4% - 0s
0 0 1.93545 0 36 1.33354 1.93545 45.1% - 0s
0 0 1.93422 0 37 1.33354 1.93422 45.0% - 0s
0 0 1.93345 0 33 1.33354 1.93345 45.0% - 0s
0 0 1.93337 0 37 1.33354 1.93337 45.0% - 0s
0 0 1.93094 0 37 1.33354 1.93094 44.8% - 0s
0 0 1.93077 0 36 1.33354 1.93077 44.8% - 0s
0 0 1.92417 0 30 1.33354 1.92417 44.3% - 0s
0 0 1.92412 0 29 1.33354 1.92412 44.3% - 0s
0 0 1.92225 0 37 1.33354 1.92225 44.1% - 0s
0 0 1.92225 0 37 1.33354 1.92225 44.1% - 0s
0 2 1.92225 0 34 1.33354 1.92225 44.1% - 0s
* 179 65 33 1.3525822 1.65178 22.1% 7.0 0s
* 180 55 34 1.4330543 1.65178 15.3% 7.0 0s
* 221 36 30 1.4419868 1.61144 11.8% 6.4 0s
* 244 24 29 1.4466227 1.61144 11.4% 6.2 0s
* 313 2 27 1.4676537 1.53323 4.47% 5.9 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 11
Clique: 2
MIR: 13
Flow cover: 23
Inf proof: 5
Explored 358 nodes (2645 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.46765 1.44662 1.44199 ... 1.33354
Optimal solution found (tolerance 1.00e-02)
Best objective 1.467653748150e+00, best bound 1.467653748150e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx9havdbs.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpho_m7l88.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31938
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.352083e+00, 311 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.35208 0 25 1.31938 2.35208 78.3% - 0s
0 0 1.91673 0 32 1.31938 1.91673 45.3% - 0s
0 0 1.91669 0 32 1.31938 1.91669 45.3% - 0s
0 0 1.87401 0 36 1.31938 1.87401 42.0% - 0s
0 0 1.87401 0 36 1.31938 1.87401 42.0% - 0s
0 0 1.86672 0 37 1.31938 1.86672 41.5% - 0s
0 0 1.86631 0 37 1.31938 1.86631 41.5% - 0s
0 0 1.86629 0 37 1.31938 1.86629 41.5% - 0s
0 0 1.86525 0 44 1.31938 1.86525 41.4% - 0s
0 0 1.86525 0 38 1.31938 1.86525 41.4% - 0s
0 2 1.86525 0 38 1.31938 1.86525 41.4% - 0s
* 111 59 46 1.4314303 1.68243 17.5% 5.0 0s
* 130 68 44 1.4407878 1.66454 15.5% 5.0 0s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 9
Clique: 3
MIR: 4
Flow cover: 27
Inf proof: 2
Explored 457 nodes (3384 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.44079 1.43143 1.31938
Optimal solution found (tolerance 1.00e-02)
Best objective 1.440787758499e+00, best bound 1.440787758499e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn9c0iizc.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpotuwbd76.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30027
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.280673e+00, 334 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.28067 0 28 1.30027 2.28067 75.4% - 0s
0 0 1.85870 0 29 1.30027 1.85870 42.9% - 0s
0 0 1.85866 0 30 1.30027 1.85866 42.9% - 0s
0 0 1.81450 0 30 1.30027 1.81450 39.5% - 0s
0 0 1.81450 0 30 1.30027 1.81450 39.5% - 0s
0 0 1.80713 0 30 1.30027 1.80713 39.0% - 0s
0 0 1.80700 0 30 1.30027 1.80700 39.0% - 0s
0 0 1.80314 0 36 1.30027 1.80314 38.7% - 0s
0 0 1.79723 0 36 1.30027 1.79723 38.2% - 0s
0 0 1.79624 0 40 1.30027 1.79624 38.1% - 0s
0 0 1.79623 0 40 1.30027 1.79623 38.1% - 0s
0 0 1.79575 0 39 1.30027 1.79575 38.1% - 0s
0 0 1.79572 0 39 1.30027 1.79572 38.1% - 0s
0 0 1.79572 0 40 1.30027 1.79572 38.1% - 0s
0 0 1.79572 0 33 1.30027 1.79572 38.1% - 0s
0 2 1.79572 0 33 1.30027 1.79572 38.1% - 0s
* 142 42 38 1.4018446 1.63459 16.6% 7.7 0s
Cutting planes:
Gomory: 13
Cover: 4
Implied bound: 11
Clique: 3
MIR: 8
Flow cover: 29
Inf proof: 6
Explored 455 nodes (3866 simplex iterations) in 0.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.40184 1.30027
Optimal solution found (tolerance 1.00e-02)
Best objective 1.401844553261e+00, best bound 1.401844553261e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx67cb422.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpykk2unjo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2978
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.163500e+00, 358 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16350 0 30 1.29780 2.16350 66.7% - 0s
0 0 1.76136 0 32 1.29780 1.76136 35.7% - 0s
0 0 1.76133 0 34 1.29780 1.76133 35.7% - 0s
0 0 1.70855 0 44 1.29780 1.70855 31.6% - 0s
0 0 1.70823 0 45 1.29780 1.70823 31.6% - 0s
0 0 1.69711 0 47 1.29780 1.69711 30.8% - 0s
0 0 1.69689 0 46 1.29780 1.69689 30.8% - 0s
0 0 1.69173 0 51 1.29780 1.69173 30.4% - 0s
0 0 1.69010 0 51 1.29780 1.69010 30.2% - 0s
0 0 1.68968 0 51 1.29780 1.68968 30.2% - 0s
0 0 1.68921 0 51 1.29780 1.68921 30.2% - 0s
0 0 1.68921 0 51 1.29780 1.68921 30.2% - 0s
0 0 1.67356 0 53 1.29780 1.67356 29.0% - 0s
0 0 1.67250 0 54 1.29780 1.67250 28.9% - 0s
0 0 1.67213 0 54 1.29780 1.67213 28.8% - 0s
0 0 1.67211 0 54 1.29780 1.67211 28.8% - 0s
0 0 1.66859 0 53 1.29780 1.66859 28.6% - 0s
0 0 1.66846 0 54 1.29780 1.66846 28.6% - 0s
0 0 1.66336 0 55 1.29780 1.66336 28.2% - 0s
0 0 1.66335 0 56 1.29780 1.66335 28.2% - 0s
0 0 1.66255 0 57 1.29780 1.66255 28.1% - 0s
0 0 1.66255 0 57 1.29780 1.66255 28.1% - 0s
0 2 1.66255 0 46 1.29780 1.66255 28.1% - 0s
* 445 97 41 1.3220361 1.44161 9.04% 6.1 0s
* 547 85 35 1.3243440 1.43814 8.59% 6.2 0s
Cutting planes:
Gomory: 21
Cover: 2
Implied bound: 19
Clique: 2
MIR: 11
Flow cover: 37
Inf proof: 10
Explored 762 nodes (5435 simplex iterations) in 0.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.32434 1.32204 1.2978
Optimal solution found (tolerance 1.00e-02)
Best objective 1.324343960343e+00, best bound 1.336083005780e+00, gap 0.8864%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcjzcz9gi.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0fzfa7ww.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20017
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.187946e+00, 404 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.18795 0 32 1.20017 2.18795 82.3% - 0s
0 0 1.79277 0 35 1.20017 1.79277 49.4% - 0s
0 0 1.79274 0 35 1.20017 1.79274 49.4% - 0s
0 0 1.76744 0 36 1.20017 1.76744 47.3% - 0s
0 0 1.76744 0 37 1.20017 1.76744 47.3% - 0s
0 0 1.75392 0 31 1.20017 1.75392 46.1% - 0s
0 0 1.74840 0 30 1.20017 1.74840 45.7% - 0s
0 0 1.74112 0 31 1.20017 1.74112 45.1% - 0s
0 0 1.73784 0 45 1.20017 1.73784 44.8% - 0s
0 0 1.73236 0 44 1.20017 1.73236 44.3% - 0s
0 0 1.73154 0 47 1.20017 1.73154 44.3% - 0s
0 0 1.73149 0 47 1.20017 1.73149 44.3% - 0s
0 0 1.73127 0 47 1.20017 1.73127 44.3% - 0s
0 0 1.73118 0 47 1.20017 1.73118 44.2% - 0s
0 0 1.73078 0 47 1.20017 1.73078 44.2% - 0s
0 0 1.73078 0 39 1.20017 1.73078 44.2% - 0s
0 2 1.69559 0 34 1.20017 1.69559 41.3% - 0s
* 304 148 44 1.2906884 1.55889 20.8% 7.2 0s
Cutting planes:
Gomory: 19
Cover: 5
Implied bound: 15
Clique: 3
MIR: 8
Flow cover: 35
Inf proof: 17
Explored 1117 nodes (7806 simplex iterations) in 0.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.29069 1.20017
Optimal solution found (tolerance 1.00e-02)
Best objective 1.290688441129e+00, best bound 1.290688441129e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps9bdw6os.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp54yw07ex.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16988
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.155190e+00, 401 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15519 0 35 1.16988 2.15519 84.2% - 0s
0 0 1.75810 0 38 1.16988 1.75810 50.3% - 0s
0 0 1.75807 0 39 1.16988 1.75807 50.3% - 0s
0 0 1.73370 0 40 1.16988 1.73370 48.2% - 0s
0 0 1.73370 0 41 1.16988 1.73370 48.2% - 0s
0 0 1.72040 0 36 1.16988 1.72040 47.1% - 0s
0 0 1.71640 0 36 1.16988 1.71640 46.7% - 0s
0 0 1.70572 0 33 1.16988 1.70572 45.8% - 0s
0 0 1.70137 0 45 1.16988 1.70137 45.4% - 0s
0 0 1.69765 0 46 1.16988 1.69765 45.1% - 0s
0 0 1.69686 0 48 1.16988 1.69686 45.0% - 0s
0 0 1.69685 0 47 1.16988 1.69685 45.0% - 0s
0 0 1.69657 0 45 1.16988 1.69657 45.0% - 0s
0 0 1.69654 0 46 1.16988 1.69654 45.0% - 0s
0 0 1.69590 0 48 1.16988 1.69590 45.0% - 0s
0 0 1.69590 0 48 1.16988 1.69590 45.0% - 0s
0 2 1.69590 0 46 1.16988 1.69590 45.0% - 0s
* 918 187 41 1.1891043 1.44673 21.7% 8.3 0s
* 993 127 39 1.2536743 1.40407 12.0% 8.2 0s
* 994 114 38 1.2711760 1.40407 10.5% 8.2 0s
Cutting planes:
Gomory: 17
Cover: 6
Implied bound: 17
Clique: 3
MIR: 11
Flow cover: 45
Inf proof: 16
Explored 1171 nodes (9752 simplex iterations) in 0.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.27118 1.25367 1.1891 1.16988
Optimal solution found (tolerance 1.00e-02)
Best objective 1.271175981793e+00, best bound 1.271175981793e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk8hfufzd.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj5t0uqy2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16528
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 2.107622e+00, 405 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10762 0 40 1.16528 2.10762 80.9% - 0s
0 0 1.71494 0 42 1.16528 1.71494 47.2% - 0s
0 0 1.71491 0 44 1.16528 1.71491 47.2% - 0s
0 0 1.69135 0 49 1.16528 1.69135 45.1% - 0s
0 0 1.69135 0 50 1.16528 1.69135 45.1% - 0s
0 0 1.67034 0 47 1.16528 1.67034 43.3% - 0s
0 0 1.67017 0 45 1.16528 1.67017 43.3% - 0s
0 0 1.66561 0 52 1.16528 1.66561 42.9% - 0s
0 0 1.66423 0 54 1.16528 1.66423 42.8% - 0s
0 0 1.66354 0 55 1.16528 1.66354 42.8% - 0s
0 0 1.66315 0 55 1.16528 1.66315 42.7% - 0s
0 0 1.66315 0 55 1.16528 1.66315 42.7% - 0s
0 0 1.64690 0 58 1.16528 1.64690 41.3% - 0s
0 0 1.64604 0 59 1.16528 1.64604 41.3% - 0s
0 0 1.64579 0 59 1.16528 1.64579 41.2% - 0s
0 0 1.64256 0 57 1.16528 1.64256 41.0% - 0s
0 0 1.64256 0 57 1.16528 1.64256 41.0% - 0s
0 0 1.64255 0 58 1.16528 1.64255 41.0% - 0s
0 0 1.64255 0 47 1.16528 1.64255 41.0% - 0s
0 2 1.64255 0 47 1.16528 1.64255 41.0% - 0s
* 1401 352 46 1.1833823 1.32963 12.4% 7.7 0s
* 1452 289 55 1.2130577 1.31691 8.56% 7.7 0s
* 1455 211 56 1.2399796 1.31691 6.20% 7.7 0s
* 1459 210 57 1.2406974 1.31691 6.14% 7.6 0s
Cutting planes:
Gomory: 20
Cover: 4
Implied bound: 24
Clique: 3
MIR: 23
Flow cover: 51
Inf proof: 23
Explored 1783 nodes (13767 simplex iterations) in 1.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.2407 1.23998 1.21306 ... 1.16528
Optimal solution found (tolerance 1.00e-02)
Best objective 1.240697376627e+00, best bound 1.248599054305e+00, gap 0.6369%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdcvbhlc1.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjywv088t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13982
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 2.060549e+00, 529 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06055 0 42 1.13982 2.06055 80.8% - 0s
0 0 1.66645 0 49 1.13982 1.66645 46.2% - 0s
0 0 1.66642 0 49 1.13982 1.66642 46.2% - 0s
0 0 1.62550 0 49 1.13982 1.62550 42.6% - 0s
0 0 1.62550 0 49 1.13982 1.62550 42.6% - 0s
0 0 1.61893 0 56 1.13982 1.61893 42.0% - 0s
0 0 1.61878 0 53 1.13982 1.61878 42.0% - 0s
0 0 1.61096 0 60 1.13982 1.61096 41.3% - 0s
0 0 1.60549 0 64 1.13982 1.60549 40.9% - 0s
0 0 1.60540 0 64 1.13982 1.60540 40.8% - 0s
0 0 1.60509 0 66 1.13982 1.60509 40.8% - 0s
0 0 1.60509 0 66 1.13982 1.60509 40.8% - 0s
0 0 1.60318 0 63 1.13982 1.60318 40.7% - 0s
0 0 1.60318 0 52 1.13982 1.60318 40.7% - 0s
0 2 1.60318 0 52 1.13982 1.60318 40.7% - 0s
* 460 213 61 1.2068689 1.43278 18.7% 9.1 0s
Cutting planes:
Gomory: 21
Cover: 11
Implied bound: 25
Clique: 3
MIR: 11
Flow cover: 46
Inf proof: 23
Explored 1992 nodes (17364 simplex iterations) in 1.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.20687 1.13982
Optimal solution found (tolerance 1.00e-02)
Best objective 1.206868851143e+00, best bound 1.206868851143e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwxwv3izx.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiga4d2u0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11673
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 2.014584e+00, 473 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01458 0 48 1.11673 2.01458 80.4% - 0s
0 0 1.61717 0 56 1.11673 1.61717 44.8% - 0s
0 0 1.61714 0 56 1.11673 1.61714 44.8% - 0s
0 0 1.57951 0 57 1.11673 1.57951 41.4% - 0s
0 0 1.57951 0 56 1.11673 1.57951 41.4% - 0s
0 0 1.57307 0 58 1.11673 1.57307 40.9% - 0s
0 0 1.57305 0 59 1.11673 1.57305 40.9% - 0s
0 0 1.56478 0 67 1.11673 1.56478 40.1% - 0s
0 0 1.56044 0 69 1.11673 1.56044 39.7% - 0s
0 0 1.56026 0 69 1.11673 1.56026 39.7% - 0s
0 0 1.55927 0 69 1.11673 1.55927 39.6% - 0s
0 0 1.55918 0 71 1.11673 1.55918 39.6% - 0s
0 0 1.55783 0 68 1.11673 1.55783 39.5% - 0s
0 0 1.55783 0 63 1.11673 1.55783 39.5% - 0s
0 2 1.55783 0 62 1.11673 1.55783 39.5% - 0s
* 1329 303 70 1.1506710 1.34644 17.0% 9.6 0s
* 1386 308 77 1.1526936 1.33268 15.6% 9.5 0s
* 1741 123 58 1.1655129 1.24685 6.98% 8.6 1s
* 1868 120 74 1.1664676 1.24488 6.72% 8.4 1s
* 1919 82 66 1.1698549 1.23644 5.69% 8.4 1s
* 1976 89 69 1.1703263 1.22234 4.44% 8.2 1s
* 2153 4 61 1.1723257 1.21208 3.39% 8.0 1s
* 2162 1 60 1.1758108 1.21208 3.08% 8.0 1s
Cutting planes:
Gomory: 22
Cover: 5
Implied bound: 20
Clique: 3
MIR: 14
Flow cover: 54
Inf proof: 22
Explored 2244 nodes (18674 simplex iterations) in 1.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 1.17581 1.17233 1.17033 ... 1.11673
Optimal solution found (tolerance 1.00e-02)
Best objective 1.175810755096e+00, best bound 1.184495834682e+00, gap 0.7386%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn62vhbux.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpch698hpv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17828
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.966923e+00, 519 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96692 0 53 1.17828 1.96692 66.9% - 0s
0 0 1.61476 0 55 1.17828 1.61476 37.0% - 0s
0 0 1.61474 0 58 1.17828 1.61474 37.0% - 0s
0 0 1.56645 0 57 1.17828 1.56645 32.9% - 0s
0 0 1.56638 0 58 1.17828 1.56638 32.9% - 0s
0 0 1.55795 0 55 1.17828 1.55795 32.2% - 0s
0 0 1.55581 0 56 1.17828 1.55581 32.0% - 0s
0 0 1.55571 0 56 1.17828 1.55571 32.0% - 0s
0 0 1.55467 0 60 1.17828 1.55467 31.9% - 0s
0 0 1.55467 0 51 1.17828 1.55467 31.9% - 0s
0 2 1.55467 0 51 1.17828 1.55467 31.9% - 0s
* 1618 491 76 1.1833378 1.30973 10.7% 7.9 0s
* 3062 18 75 1.1839578 1.20110 1.45% 7.1 1s
Cutting planes:
Gomory: 25
Cover: 11
Implied bound: 27
Clique: 2
MIR: 15
Flow cover: 37
Inf proof: 28
Explored 3106 nodes (22855 simplex iterations) in 1.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.18396 1.18334 1.17828
Optimal solution found (tolerance 1.00e-02)
Best objective 1.183957776341e+00, best bound 1.190226305669e+00, gap 0.5295%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg6468o4w.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0w2wy9wi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15079
Presolve removed 364 rows and 229 columns
Presolve time: 0.01s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.878419e+00, 537 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87842 0 52 1.15079 1.87842 63.2% - 0s
0 0 1.57413 0 62 1.15079 1.57413 36.8% - 0s
0 0 1.57411 0 64 1.15079 1.57411 36.8% - 0s
0 0 1.55476 0 68 1.15079 1.55476 35.1% - 0s
0 0 1.55443 0 72 1.15079 1.55443 35.1% - 0s
0 0 1.55443 0 72 1.15079 1.55443 35.1% - 0s
0 0 1.54139 0 69 1.15079 1.54139 33.9% - 0s
0 0 1.52957 0 70 1.15079 1.52957 32.9% - 0s
0 0 1.52839 0 69 1.15079 1.52839 32.8% - 0s
0 0 1.51649 0 79 1.15079 1.51649 31.8% - 0s
0 0 1.51533 0 75 1.15079 1.51533 31.7% - 0s
0 0 1.51480 0 75 1.15079 1.51480 31.6% - 0s
0 0 1.51478 0 78 1.15079 1.51478 31.6% - 0s
0 0 1.51478 0 78 1.15079 1.51478 31.6% - 0s
0 0 1.51478 0 68 1.15079 1.51478 31.6% - 0s
0 2 1.51478 0 68 1.15079 1.51478 31.6% - 0s
Cutting planes:
Gomory: 26
Implied bound: 6
Projected implied bound: 26
Clique: 2
MIR: 11
Flow cover: 31
Inf proof: 12
Explored 1581 nodes (15103 simplex iterations) in 2.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.15079
Optimal solution found (tolerance 1.00e-02)
Best objective 1.150793224884e+00, best bound 1.152019230294e+00, gap 0.1065%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxeciqpxr.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnva_sc3d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1496
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.913218e+00, 705 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91322 0 54 1.14960 1.91322 66.4% - 0s
0 0 1.83956 0 64 1.14960 1.83956 60.0% - 0s
0 0 1.83951 0 62 1.14960 1.83951 60.0% - 0s
0 0 1.76938 0 69 1.14960 1.76938 53.9% - 0s
0 0 1.76914 0 72 1.14960 1.76914 53.9% - 0s
0 0 1.75391 0 63 1.14960 1.75391 52.6% - 0s
0 0 1.75053 0 66 1.14960 1.75053 52.3% - 0s
0 0 1.73995 0 77 1.14960 1.73995 51.4% - 0s
0 0 1.73716 0 85 1.14960 1.73716 51.1% - 0s
0 0 1.73627 0 86 1.14960 1.73627 51.0% - 0s
0 0 1.73622 0 84 1.14960 1.73622 51.0% - 0s
0 0 1.73620 0 77 1.14960 1.73620 51.0% - 0s
0 0 1.73620 0 80 1.14960 1.73620 51.0% - 0s
0 0 1.73548 0 81 1.14960 1.73548 51.0% - 0s
0 0 1.73548 0 81 1.14960 1.73548 51.0% - 0s
0 0 1.73548 0 80 1.14960 1.73548 51.0% - 0s
0 0 1.73548 0 69 1.14960 1.73548 51.0% - 0s
0 2 1.73548 0 69 1.14960 1.73548 51.0% - 0s
* 2157 176 75 1.1500048 1.21002 5.22% 8.3 2s
Cutting planes:
Gomory: 42
Cover: 1
Implied bound: 10
Projected implied bound: 24
Clique: 2
MIR: 6
Flow cover: 44
Inf proof: 10
Explored 2652 nodes (23240 simplex iterations) in 2.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.15 1.1496
Optimal solution found (tolerance 1.00e-02)
Best objective 1.150004784968e+00, best bound 1.159639149423e+00, gap 0.8378%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyiiqnuea.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb171wrhn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11669
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.839682e+00, 603 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83968 0 55 1.11669 1.83968 64.7% - 0s
0 0 1.77113 0 64 1.11669 1.77113 58.6% - 0s
0 0 1.77098 0 63 1.11669 1.77098 58.6% - 0s
0 0 1.69208 0 64 1.11669 1.69208 51.5% - 0s
0 0 1.69208 0 68 1.11669 1.69208 51.5% - 0s
0 0 1.67620 0 63 1.11669 1.67620 50.1% - 0s
0 0 1.67235 0 62 1.11669 1.67235 49.8% - 0s
0 0 1.66510 0 71 1.11669 1.66510 49.1% - 0s
0 0 1.66445 0 72 1.11669 1.66445 49.1% - 0s
0 0 1.66313 0 67 1.11669 1.66313 48.9% - 0s
0 0 1.66287 0 70 1.11669 1.66287 48.9% - 0s
0 0 1.66033 0 73 1.11669 1.66033 48.7% - 0s
0 0 1.66025 0 74 1.11669 1.66025 48.7% - 0s
0 0 1.66019 0 76 1.11669 1.66019 48.7% - 0s
0 0 1.66015 0 76 1.11669 1.66015 48.7% - 0s
0 0 1.66000 0 76 1.11669 1.66000 48.7% - 0s
0 0 1.66000 0 67 1.11669 1.66000 48.7% - 0s
0 2 1.66000 0 66 1.11669 1.66000 48.7% - 0s
Cutting planes:
Learned: 1
Gomory: 22
Cover: 1
Implied bound: 13
Projected implied bound: 27
Clique: 3
MIR: 14
Flow cover: 55
Inf proof: 19
Explored 2491 nodes (26506 simplex iterations) in 3.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.11669
Optimal solution found (tolerance 1.00e-02)
Best objective 1.116685563836e+00, best bound 1.119825434308e+00, gap 0.2812%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0hw0tfdf.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprhgto6_e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12128
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.827434e+00, 677 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82743 0 55 1.12128 1.82743 63.0% - 0s
0 0 1.76378 0 69 1.12128 1.76378 57.3% - 0s
0 0 1.76370 0 66 1.12128 1.76370 57.3% - 0s
0 0 1.70689 0 74 1.12128 1.70689 52.2% - 0s
0 0 1.70657 0 77 1.12128 1.70657 52.2% - 0s
0 0 1.69051 0 70 1.12128 1.69051 50.8% - 0s
0 0 1.69009 0 71 1.12128 1.69009 50.7% - 0s
0 0 1.67750 0 81 1.12128 1.67750 49.6% - 0s
0 0 1.67253 0 82 1.12128 1.67253 49.2% - 0s
0 0 1.67149 0 84 1.12128 1.67149 49.1% - 0s
0 0 1.67122 0 84 1.12128 1.67122 49.0% - 0s
0 0 1.67121 0 85 1.12128 1.67121 49.0% - 0s
0 0 1.67121 0 86 1.12128 1.67121 49.0% - 0s
0 0 1.67121 0 68 1.12128 1.67121 49.0% - 0s
0 2 1.67121 0 66 1.12128 1.67121 49.0% - 0s
Cutting planes:
Learned: 2
Gomory: 17
Cover: 3
Implied bound: 7
Projected implied bound: 24
Clique: 1
MIR: 11
Flow cover: 39
Inf proof: 15
Explored 2552 nodes (24671 simplex iterations) in 2.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.12128
Optimal solution found (tolerance 1.00e-02)
Best objective 1.121282988898e+00, best bound 1.122879015247e+00, gap 0.1423%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpncmicjic.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb7tijpys.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11895
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.794392e+00, 735 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79439 0 59 1.11895 1.79439 60.4% - 0s
0 0 1.73351 0 70 1.11895 1.73351 54.9% - 0s
0 0 1.73344 0 68 1.11895 1.73344 54.9% - 0s
0 0 1.67933 0 79 1.11895 1.67933 50.1% - 0s
0 0 1.67911 0 82 1.11895 1.67911 50.1% - 0s
0 0 1.66353 0 77 1.11895 1.66353 48.7% - 0s
0 0 1.66348 0 75 1.11895 1.66348 48.7% - 0s
0 0 1.66248 0 89 1.11895 1.66248 48.6% - 0s
0 0 1.66116 0 90 1.11895 1.66116 48.5% - 0s
0 0 1.66102 0 88 1.11895 1.66102 48.4% - 0s
0 0 1.66074 0 88 1.11895 1.66074 48.4% - 0s
0 0 1.66067 0 87 1.11895 1.66067 48.4% - 0s
0 0 1.66067 0 87 1.11895 1.66067 48.4% - 0s
0 0 1.66040 0 79 1.11895 1.66040 48.4% - 0s
0 0 1.66039 0 86 1.11895 1.66039 48.4% - 0s
0 0 1.66033 0 80 1.11895 1.66033 48.4% - 0s
0 0 1.66033 0 67 1.11895 1.66033 48.4% - 0s
0 2 1.66033 0 66 1.11895 1.66033 48.4% - 0s
* 1318 487 86 1.1270407 1.30520 15.8% 10.9 2s
* 4447 439 84 1.1273319 1.16646 3.47% 9.5 4s
4645 276 infeasible 43 1.12733 1.15717 2.65% 9.4 5s
Cutting planes:
Gomory: 41
Cover: 2
Implied bound: 7
Projected implied bound: 23
Clique: 3
MIR: 18
Flow cover: 58
Inf proof: 44
Explored 4974 nodes (47513 simplex iterations) in 5.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.12733 1.12704 1.11895
Optimal solution found (tolerance 1.00e-02)
Best objective 1.127331856173e+00, best bound 1.136866390226e+00, gap 0.8458%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppyfuvvni.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp07xg4cug.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11001
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.750340e+00, 817 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75034 0 64 1.11001 1.75034 57.7% - 0s
0 0 1.69332 0 73 1.11001 1.69332 52.5% - 0s
0 0 1.69327 0 75 1.11001 1.69327 52.5% - 0s
0 0 1.64367 0 83 1.11001 1.64367 48.1% - 0s
0 0 1.64366 0 86 1.11001 1.64366 48.1% - 0s
0 0 1.62911 0 79 1.11001 1.62911 46.8% - 0s
0 0 1.62907 0 78 1.11001 1.62907 46.8% - 0s
0 0 1.62480 0 91 1.11001 1.62480 46.4% - 0s
0 0 1.62232 0 95 1.11001 1.62232 46.2% - 0s
0 0 1.62170 0 96 1.11001 1.62170 46.1% - 0s
0 0 1.62155 0 95 1.11001 1.62155 46.1% - 0s
0 0 1.62100 0 88 1.11001 1.62100 46.0% - 0s
0 0 1.62099 0 91 1.11001 1.62099 46.0% - 0s
0 0 1.62098 0 91 1.11001 1.62098 46.0% - 0s
0 0 1.62098 0 91 1.11001 1.62098 46.0% - 0s
0 0 1.62098 0 91 1.11001 1.62098 46.0% - 0s
0 0 1.62098 0 75 1.11001 1.62098 46.0% - 0s
0 2 1.62098 0 75 1.11001 1.62098 46.0% - 0s
* 1935 164 74 1.1102550 1.21808 9.71% 9.0 3s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 6
Projected implied bound: 21
Clique: 1
MIR: 7
Flow cover: 27
Inf proof: 10
Network: 1
Explored 2920 nodes (26920 simplex iterations) in 3.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.11025 1.11001
Optimal solution found (tolerance 1.00e-02)
Best objective 1.110254997842e+00, best bound 1.117908790074e+00, gap 0.6894%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj9nmbraz.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwuuivwtq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10624
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.722328e+00, 835 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72233 0 65 1.10624 1.72233 55.7% - 0s
0 0 1.66755 0 75 1.10624 1.66755 50.7% - 0s
0 0 1.66749 0 73 1.10624 1.66749 50.7% - 0s
0 0 1.63151 0 80 1.10624 1.63151 47.5% - 0s
0 0 1.63131 0 84 1.10624 1.63131 47.5% - 0s
0 0 1.61614 0 72 1.10624 1.61614 46.1% - 0s
0 0 1.61608 0 78 1.10624 1.61608 46.1% - 0s
0 0 1.60352 0 91 1.10624 1.60352 45.0% - 0s
0 0 1.60262 0 92 1.10624 1.60262 44.9% - 0s
0 0 1.60188 0 88 1.10624 1.60188 44.8% - 0s
0 0 1.59236 0 98 1.10624 1.59236 43.9% - 0s
0 0 1.59217 0 102 1.10624 1.59217 43.9% - 0s
0 0 1.59071 0 104 1.10624 1.59071 43.8% - 0s
0 0 1.59071 0 104 1.10624 1.59071 43.8% - 0s
0 0 1.58998 0 108 1.10624 1.58998 43.7% - 0s
0 0 1.58988 0 108 1.10624 1.58988 43.7% - 0s
0 0 1.58988 0 108 1.10624 1.58988 43.7% - 0s
0 0 1.58987 0 107 1.10624 1.58987 43.7% - 0s
0 0 1.58987 0 107 1.10624 1.58987 43.7% - 0s
0 0 1.58987 0 79 1.10624 1.58987 43.7% - 0s
0 2 1.58987 0 78 1.10624 1.58987 43.7% - 0s
* 4238 112 80 1.1062686 1.13387 2.49% 9.1 3s
Cutting planes:
Gomory: 4
Implied bound: 7
Clique: 1
MIR: 6
Flow cover: 10
Inf proof: 5
Explored 4361 nodes (41175 simplex iterations) in 3.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.10627 1.10624
Optimal solution found (tolerance 1.00e-02)
Best objective 1.106268604228e+00, best bound 1.111712592805e+00, gap 0.4921%
Run 6
Seed for training 864
Seed for simulation 666
direc: array([[1.10413818e-03, 3.99399156e-06, 8.05073843e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.02063609e-03, 4.34258548e+01, 8.70229322e+01]])
fopt: 0.36300343726563783
fun: -0.36093289255798433
message: 'Optimization terminated successfully.'
nfev: 303
nit: 4
status: 0
success: True
x: array([277.44617039, 44.25512259, 92.16542902])
xopt: array([277., 44., 93.])
zopt: array([277., 321., 414.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpru6xuuhb.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprmmdfjpo.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.363003
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.705894e+00, 738 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70589 0 58 0.36300 1.70589 370% - 0s
0 0 1.61895 0 78 0.36300 1.61895 346% - 0s
0 0 1.61587 0 75 0.36300 1.61587 345% - 0s
0 0 1.59259 0 83 0.36300 1.59259 339% - 0s
0 0 1.58723 0 84 0.36300 1.58723 337% - 0s
0 0 1.58469 0 88 0.36300 1.58469 337% - 0s
0 0 1.58395 0 88 0.36300 1.58395 336% - 0s
0 0 1.58301 0 88 0.36300 1.58301 336% - 0s
0 0 1.58172 0 87 0.36300 1.58172 336% - 0s
0 0 1.57543 0 89 0.36300 1.57543 334% - 0s
0 0 1.57534 0 87 0.36300 1.57534 334% - 0s
0 0 1.57408 0 88 0.36300 1.57408 334% - 0s
0 0 1.57325 0 85 0.36300 1.57325 333% - 0s
0 0 1.57320 0 86 0.36300 1.57320 333% - 0s
0 0 1.57320 0 86 0.36300 1.57320 333% - 0s
0 0 1.57305 0 86 0.36300 1.57305 333% - 0s
0 0 1.57305 0 86 0.36300 1.57305 333% - 0s
0 0 1.57305 0 86 0.36300 1.57305 333% - 0s
0 0 1.57305 0 77 0.36300 1.57305 333% - 0s
0 2 1.57305 0 77 0.36300 1.57305 333% - 0s
* 341 211 109 0.4453593 1.37195 208% 9.6 0s
* 342 210 109 0.5082530 1.37195 170% 9.6 0s
4310 1327 0.91134 59 34 0.50825 1.11490 119% 10.4 5s
* 4880 1565 78 0.5438453 1.09850 102% 10.0 5s
* 5009 1120 87 0.8813503 1.09270 24.0% 9.9 5s
* 5708 1039 79 0.8829566 1.05530 19.5% 9.7 5s
H 5782 1021 0.8838724 1.04989 18.8% 9.7 6s
* 6969 729 78 0.8914842 0.99246 11.3% 9.3 6s
H 6994 660 0.8938431 0.98505 10.2% 9.2 7s
Cutting planes:
Gomory: 5
Cover: 3
Implied bound: 15
Projected implied bound: 28
MIR: 7
Flow cover: 34
Inf proof: 14
Network: 1
Explored 8134 nodes (72499 simplex iterations) in 7.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 0.893843 0.891484 0.883872 ... 0.363003
Optimal solution found (tolerance 0.00e+00)
Best objective 8.938430896013e-01, best bound 8.938430896013e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk4xijgvt.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnmv7ixfs.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.00s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.0290857e+02 2.976214e+03 0.000000e+00 0s
170 1.8014495e+01 0.000000e+00 0.000000e+00 0s
Solved in 170 iterations and 0.01 seconds
Optimal objective 1.801449489e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.13197123e-07, -1.07040399e-08, -4.81605806e-07]])
fopt: 3.3842025673175256
fun: -3.393988820859654
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([ 22.15035505, -1. , -87.99580146])
xopt: array([22., 0., 0.])
zopt: array([22., 22., 22.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.03328858, -0.00127139, -0.00130054]])
fopt: 1.7173296094348174
fun: -1.723483758315047
message: 'Optimization terminated successfully.'
nfev: 139
nit: 2
status: 0
success: True
x: array([51.50231452, -0.92960395, -0.99552764])
xopt: array([52., 0., 0.])
zopt: array([52., 52., 52.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.0684773 , 0.1730337 , 0.00182323]])
fopt: 1.704949312025648
fun: -1.7221852734999819
message: 'Optimization terminated successfully.'
nfev: 247
nit: 4
status: 0
success: True
x: array([ 71.01441246, -168.83761921, -0.99783129])
xopt: array([71., 0., 0.])
zopt: array([71., 71., 71.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.30660933, 0.00735644, 0.33098772]])
fopt: 1.2986076920511616
fun: -1.3114880237230153
message: 'Optimization terminated successfully.'
nfev: 229
nit: 3
status: 0
success: True
x: array([ 84.05142442, -0.95920128, -86.99918178])
xopt: array([84., 0., 0.])
zopt: array([84., 84., 84.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.84596176e-07, -8.26081577e-11, -0.00000000e+00]])
fopt: 1.2410686216537916
fun: -1.2471440784020769
message: 'Optimization terminated successfully.'
nfev: 235
nit: 2
status: 0
success: True
x: array([99.27469128, 1.04367198, 1. ])
xopt: array([99., 1., 1.])
zopt: array([ 99., 100., 101.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1470
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.65750311e-03, 3.99766670e-09, -2.68319345e-05]])
fopt: 1.0780092568636785
fun: -1.0781186619306358
message: 'Optimization terminated successfully.'
nfev: 323
nit: 3
status: 0
success: True
x: array([131.31788442, 1.00009169, 0.30501833])
xopt: array([131., 1., 0.])
zopt: array([131., 132., 132.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.27124179e-06, -1.15728648e-08, 6.72034179e-09],
[-1.27124184e-06, 9.99999988e-01, -7.64651453e-02]])
fopt: 0.9241837195872213
fun: -0.9232423394404834
message: 'Optimization terminated successfully.'
nfev: 318
nit: 3
status: 0
success: True
x: array([130.93958762, 4.18291681, 0.1601189 ])
xopt: array([130., 5., 0.])
zopt: array([130., 135., 135.])
*******************************************
Period: 9
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.35690964e-05, 1.20277958e-09, 0.00000000e+00]])
fopt: 0.9074924946940941
fun: -0.9081592386900937
message: 'Optimization terminated successfully.'
nfev: 361
nit: 3
status: 0
success: True
x: array([161.83092392, 1.01424491, 1. ])
xopt: array([161., 2., 1.])
zopt: array([161., 163., 164.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.37116955e-04, 7.54121874e-07, 1.50824377e-06]])
fopt: 0.8911389334695647
fun: -0.8949727392428471
message: 'Optimization terminated successfully.'
nfev: 352
nit: 3
status: 0
success: True
x: array([ 1.82823197e+02, 7.19185645e-07, -9.53919768e-01])
xopt: array([182., 1., 0.])
zopt: array([182., 183., 183.])
*******************************************
Period: 11
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 0.8486611737658004
fun: -0.8523170379826631
message: 'Optimization terminated successfully.'
nfev: 290
nit: 3
status: 0
success: True
x: array([ 2.03051410e+02, -5.34741076e-02, 1.01135875e+00])
xopt: array([203., 0., 1.])
zopt: array([203., 203., 204.])
*******************************************
Period: 12
direc: array([[ 0.00000000e+00, 0.00000000e+00, 2.24932801e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.99688929e-13, -7.58899640e-14, -2.00281795e-15]])
fopt: 0.8218195602053704
fun: -0.9201939108194718
message: 'Optimization terminated successfully.'
nfev: 778
nit: 8
status: 0
success: True
x: array([201.59376922, -18.56463613, 47.14699461])
xopt: array([201., 0., 47.])
zopt: array([201., 201., 248.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 56.04371003]])
fopt: 0.8311036087926645
fun: -0.8322530837290214
message: 'Optimization terminated successfully.'
nfev: 489
nit: 6
status: 0
success: True
x: array([202.81962546, -0.84770651, 53.02437017])
xopt: array([202., 0., 53.])
zopt: array([202., 202., 255.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4772587588022719
fun: -0.4747578142425488
message: 'Optimization terminated successfully.'
nfev: 394
nit: 4
status: 0
success: True
x: array([271.99999944, 1.00000006, 1.03476317])
xopt: array([271., 1., 2.])
zopt: array([271., 272., 274.])
*******************************************
Period: 15
direc: array([[7.69700313e-06, 3.82329972e-08, 7.91946458e-08],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.60779692e-11, 4.60814708e-08, 5.12070338e-04]])
fopt: 0.8520746458990804
fun: -0.8535485672345638
message: 'Optimization terminated successfully.'
nfev: 321
nit: 3
status: 0
success: True
x: array([202.31833718, 2.00764699, 88.0469321 ])
xopt: array([202., 2., 88.])
zopt: array([202., 204., 292.])
*******************************************
Period: 16
direc: array([[-6.06306583e+01, -4.90053344e-01, 1.11513822e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.68625131e-01, -9.03591250e-03, -1.90401854e+01]])
fopt: 0.8621381758360736
fun: -0.8634181562230117
message: 'Optimization terminated successfully.'
nfev: 727
nit: 10
status: 0
success: True
x: array([200.41301671, -0.29901958, 119.04873782])
xopt: array([200., 0., 119.])
zopt: array([200., 200., 319.])
*******************************************
Period: 17
direc: array([[-3.00321911e-02, -8.93198708e-02, 9.35540738e-01],
[-2.47673360e+01, 4.70400843e-01, 5.48398118e+00],
[-3.60792632e+01, 1.21507427e+01, 1.06410955e+01]])
fopt: 0.7357701161933479
fun: -0.730256786129538
message: 'Optimization terminated successfully.'
nfev: 947
nit: 12
status: 0
success: True
x: array([155.43038607, 27.0384629 , 89.01530009])
xopt: array([155., 28., 90.])
zopt: array([155., 183., 273.])
*******************************************
Period: 18
direc: array([[ 8.16121873e+01, 4.00922129e-01, 8.04119609e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.61415947e-04, -5.98442959e-04, 3.51354441e+01]])
fopt: 0.5185346529548982
fun: -0.7253760754681992
message: 'Optimization terminated successfully.'
nfev: 519
nit: 6
status: 0
success: True
x: array([238.73175194, -46.73185886, 145.19358672])
xopt: array([238., 0., 145.])
zopt: array([238., 238., 383.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 1. ],
[ 7.6732246 , -0.33704488, 15.37203384],
[ 0. , -42.47300958, 43.06001191]])
fopt: 0.39680658839826477
fun: -0.6814541489277933
message: 'Optimization terminated successfully.'
nfev: 520
nit: 7
status: 0
success: True
x: array([251.92612173, -59.83483216, 163. ])
xopt: array([251., 0., 163.])
zopt: array([251., 251., 414.])
*******************************************
Period: 20
direc: array([[ 8.28457734e+01, 4.10012600e-01, 8.83912277e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.53812757e-07, -2.07624164e-07, 1.03734828e-05]])
fopt: 0.2080877328728059
fun: -0.20860600230203127
message: 'Optimization terminated successfully.'
nfev: 452
nit: 5
status: 0
success: True
x: array([283.19488437, 2.00814413, 7.02939868])
xopt: array([283., 2., 8.])
zopt: array([283., 285., 293.])
*******************************************
Period: 21
direc: array([[ 8.46019578e+01, 4.29771671e-01, 4.20546366e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.98805912e-09, 3.53776514e-08, -4.88865247e-04]])
fopt: 0.16631286073900645
fun: -0.16640226353824503
message: 'Optimization terminated successfully.'
nfev: 366
nit: 5
status: 0
success: True
x: array([ 2.87058950e+02, -1.97291295e-01, 7.00330516e+00])
xopt: array([287., 0., 8.])
zopt: array([287., 287., 295.])
*******************************************
Period: 22
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-6.2066511 , 6.00000008, 4.00000005]])
fopt: 0.79356793514386
fun: -0.7921600688800606
message: 'Optimization terminated successfully.'
nfev: 393
nit: 7
status: 0
success: True
x: array([ 71.99999219, 171. , 136.44316235])
xopt: array([ 72., 171., 137.])
zopt: array([ 72., 243., 380.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 1. ],
[-4.48983127, 2.01648479, 2.01648479],
[-3.21000658, 6.06115242, 5.35232263]])
fopt: 0.9491294752561513
fun: -0.9491147827773742
message: 'Optimization terminated successfully.'
nfev: 463
nit: 7
status: 0
success: True
x: array([ 72.02611536, 112. , 194.00003853])
xopt: array([ 72., 112., 194.])
zopt: array([ 72., 184., 378.])
*******************************************
Period: 24
direc: array([[-9.34958197e+00, 9.03828677e+00, 6.02552451e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.91487319e-03, 1.48287392e-05, -0.00000000e+00]])
fopt: 0.8157199450577306
fun: -0.8155507979325469
message: 'Optimization terminated successfully.'
nfev: 468
nit: 7
status: 0
success: True
x: array([ 75.04460116, 178.00724673, 126.3553229 ])
xopt: array([ 75., 178., 127.])
zopt: array([ 75., 253., 380.])
*******************************************
Period: 25
direc: array([[-4.00145473e+00, 4.00000000e+00, 0.00000000e+00],
[-1.94369175e+00, 1.02984323e+00, 9.88500904e-01],
[-5.42797409e-02, 1.31799540e-06, -0.00000000e+00]])
fopt: 0.5818558148760429
fun: -0.5777130789908952
message: 'Optimization terminated successfully.'
nfev: 1285
nit: 16
status: 0
success: True
x: array([ 72.35131068, 215.07482002, 6.42023525])
xopt: array([ 72., 216., 7.])
zopt: array([ 72., 288., 295.])
*******************************************
Period: 26
direc: array([[-117.0321114 , 34.24320816, 62.94482276],
[ 0. , 1. , 0. ],
[ -42.05333076, 53.66841991, 78.40102324]])
fopt: 0.8892491805785027
fun: -0.8889727427773648
message: 'Optimization terminated successfully.'
nfev: 432
nit: 7
status: 0
success: True
x: array([ 79.01659366, 116.00003967, 191. ])
xopt: array([ 79., 116., 192.])
zopt: array([ 79., 195., 387.])
*******************************************
Period: 27
direc: array([[ 2.51243411e-06, 8.69614746e-09, 1.74275251e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.83674314e+02, 1.70364814e+02, 1.07841623e+02]])
fopt: 0.7178733056294081
fun: -0.7186152211383922
message: 'Optimization terminated successfully.'
nfev: 659
nit: 9
status: 0
success: True
x: array([ 83.60654119, 197.01350436, 127.16033245])
xopt: array([ 83., 197., 127.])
zopt: array([ 83., 280., 407.])
*******************************************
Period: 28
direc: array([[ 2.40941862e+00, 4.00795079e+00, 2.02923700e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.97371477e-03, 2.11544011e-09, -0.00000000e+00]])
fopt: 0.2666423171987888
fun: -0.26469395414876806
message: 'Optimization terminated successfully.'
nfev: 599
nit: 8
status: 0
success: True
x: array([293.91734328, 13.00000256, 9.12888622])
xopt: array([293., 13., 10.])
zopt: array([293., 306., 316.])
*******************************************
Period: 29
direc: array([[-1.19998322e+02, 0.00000000e+00, 1.11274351e+02],
[ 1.93585364e-01, -1.60960774e-01, -3.15564350e-01],
[ 2.34261626e-02, 9.31116299e-01, -2.17230624e-02]])
fopt: 0.7938044216661599
fun: -0.7918340741731974
message: 'Optimization terminated successfully.'
nfev: 934
nit: 11
status: 0
success: True
x: array([136.23316771, 55.00145892, 208.07184008])
xopt: array([136., 56., 209.])
zopt: array([136., 192., 401.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp29_zxozk.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu704lpuv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.09974
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.3842 2.09974
Optimal solution found (tolerance 1.00e-02)
Best objective 3.384202567318e+00, best bound 3.384202567318e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp40rmo20h.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsq9ciula.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.63545
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.717330e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.7173296 1.71733 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.71733 1.63545
Optimal solution found (tolerance 1.00e-02)
Best objective 1.717329609435e+00, best bound 1.717329609435e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvrbsfg5p.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmmug5j5p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.674023
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 2.146537e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14654 0 6 0.67402 2.14654 218% - 0s
H 0 0 1.7049493 2.14654 25.9% - 0s
0 0 cutoff 0 1.70495 1.70495 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.70495 0.674023
Optimal solution found (tolerance 1.00e-02)
Best objective 1.704949312026e+00, best bound 1.704949312026e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa_xkl3h0.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcwv0z5i1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21189
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 1.667114e+00, 22 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35691 0 3 1.21189 1.35691 12.0% - 0s
H 0 0 1.2986077 1.35691 4.49% - 0s
0 0 cutoff 0 1.29861 1.29861 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Explored 1 nodes (24 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.29861 1.21189
Optimal solution found (tolerance 1.00e-02)
Best objective 1.298607692051e+00, best bound 1.298607692051e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplr7fz3dc.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphdqj6s8k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.946294
Presolve removed 120 rows and 82 columns
Presolve time: 0.00s
Presolved: 117 rows, 93 columns, 412 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 1.795253e+00, 74 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79525 0 6 0.94629 1.79525 89.7% - 0s
H 0 0 1.4016923 1.79525 28.1% - 0s
0 0 1.44382 0 2 1.40169 1.44382 3.01% - 0s
H 0 0 1.4016924 1.44382 3.01% - 0s
0 0 1.44382 0 1 1.40169 1.44382 3.01% - 0s
0 0 1.44382 0 1 1.40169 1.44382 3.01% - 0s
0 0 cutoff 0 1.40169 1.40169 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (117 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.40169 1.40169 0.946294
Optimal solution found (tolerance 1.00e-02)
Best objective 1.401692435389e+00, best bound 1.401692435389e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpspuhms1i.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph1xq6t7q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09785
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.030024e+00, 99 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03002 0 7 1.09785 2.03002 84.9% - 0s
0 0 1.42974 0 5 1.09785 1.42974 30.2% - 0s
0 0 1.42909 0 6 1.09785 1.42909 30.2% - 0s
0 0 1.42781 0 9 1.09785 1.42781 30.1% - 0s
0 0 1.42781 0 10 1.09785 1.42781 30.1% - 0s
0 0 1.42781 0 7 1.09785 1.42781 30.1% - 0s
H 0 0 1.3652271 1.42781 4.58% - 0s
0 0 1.42648 0 1 1.36523 1.42648 4.49% - 0s
0 0 infeasible 0 1.36523 1.36523 0.00% - 0s
Explored 1 nodes (236 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.36523 1.09785
Optimal solution found (tolerance 1.00e-02)
Best objective 1.365227050358e+00, best bound 1.365227050358e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi9b2n6ky.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0iuwl9ux.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08704
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.205111e+00, 146 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.20511 0 9 1.08704 2.20511 103% - 0s
0 0 1.71953 0 4 1.08704 1.71953 58.2% - 0s
0 0 1.67829 0 5 1.08704 1.67829 54.4% - 0s
0 0 1.66788 0 5 1.08704 1.66788 53.4% - 0s
0 0 1.66788 0 5 1.08704 1.66788 53.4% - 0s
H 0 0 1.2215669 1.66788 36.5% - 0s
0 2 1.66788 0 5 1.22157 1.66788 36.5% - 0s
H 9 6 1.3707136 1.46973 7.22% 6.3 0s
Cutting planes:
Gomory: 4
Implied bound: 3
MIR: 2
Flow cover: 8
Explored 32 nodes (357 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.37071 1.22157 1.08704
Optimal solution found (tolerance 1.00e-02)
Best objective 1.370713614419e+00, best bound 1.370713614419e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdhb48r66.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmgqop3kw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17254
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 1.967851e+00, 160 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96785 0 11 1.17254 1.96785 67.8% - 0s
0 0 1.56485 0 14 1.17254 1.56485 33.5% - 0s
0 0 1.50761 0 5 1.17254 1.50761 28.6% - 0s
0 0 1.50301 0 5 1.17254 1.50301 28.2% - 0s
0 0 1.49000 0 9 1.17254 1.49000 27.1% - 0s
0 0 1.48715 0 9 1.17254 1.48715 26.8% - 0s
0 0 1.47967 0 12 1.17254 1.47967 26.2% - 0s
0 0 1.47858 0 13 1.17254 1.47858 26.1% - 0s
0 0 1.47858 0 13 1.17254 1.47858 26.1% - 0s
H 0 0 1.2071134 1.47858 22.5% - 0s
0 2 1.47858 0 13 1.20711 1.47858 22.5% - 0s
Cutting planes:
Gomory: 6
Implied bound: 6
MIR: 4
Flow cover: 16
Explored 50 nodes (465 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.20711 1.17254
Optimal solution found (tolerance 1.00e-02)
Best objective 1.207113354030e+00, best bound 1.207113354030e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_5msx0jd.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm_bi0w_a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01199
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.084277e+00, 178 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08428 0 13 1.01199 2.08428 106% - 0s
0 0 1.68771 0 20 1.01199 1.68771 66.8% - 0s
0 0 1.66703 0 9 1.01199 1.66703 64.7% - 0s
0 0 1.66308 0 9 1.01199 1.66308 64.3% - 0s
0 0 1.66308 0 9 1.01199 1.66308 64.3% - 0s
0 0 1.65778 0 10 1.01199 1.65778 63.8% - 0s
0 0 1.64441 0 10 1.01199 1.64441 62.5% - 0s
0 0 1.64379 0 10 1.01199 1.64379 62.4% - 0s
0 0 1.62532 0 11 1.01199 1.62532 60.6% - 0s
0 0 1.62532 0 11 1.01199 1.62532 60.6% - 0s
0 0 1.62532 0 11 1.01199 1.62532 60.6% - 0s
0 2 1.62532 0 11 1.01199 1.62532 60.6% - 0s
* 42 21 14 1.0528896 1.46060 38.7% 5.1 0s
* 114 25 13 1.1642735 1.38649 19.1% 4.4 0s
* 124 15 15 1.2423917 1.38649 11.6% 4.4 0s
Cutting planes:
Gomory: 7
Implied bound: 10
MIR: 3
Flow cover: 19
Inf proof: 2
Explored 221 nodes (1332 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.24239 1.16427 1.05289 1.01199
Optimal solution found (tolerance 1.00e-02)
Best objective 1.242391656070e+00, best bound 1.242391656070e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp41_yetjr.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp6v92g0w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04386
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.082771e+00, 191 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08277 0 15 1.04386 2.08277 100% - 0s
0 0 1.71610 0 14 1.04386 1.71610 64.4% - 0s
0 0 1.68815 0 14 1.04386 1.68815 61.7% - 0s
0 0 1.68060 0 16 1.04386 1.68060 61.0% - 0s
0 0 1.68059 0 18 1.04386 1.68059 61.0% - 0s
0 0 1.65195 0 12 1.04386 1.65195 58.3% - 0s
0 0 1.65195 0 12 1.04386 1.65195 58.3% - 0s
0 0 1.64524 0 12 1.04386 1.64524 57.6% - 0s
0 0 1.64524 0 11 1.04386 1.64524 57.6% - 0s
0 2 1.64524 0 11 1.04386 1.64524 57.6% - 0s
* 114 33 21 1.0740918 1.51420 41.0% 4.9 0s
* 121 30 18 1.1410490 1.51420 32.7% 4.8 0s
* 162 27 19 1.1757797 1.48675 26.4% 4.4 0s
* 242 22 17 1.2631361 1.35102 6.96% 4.4 0s
* 249 0 14 1.2641535 1.34894 6.71% 4.4 0s
Cutting planes:
Gomory: 9
Implied bound: 6
MIR: 4
Flow cover: 20
Inf proof: 3
Explored 272 nodes (1541 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.26415 1.26314 1.17578 ... 1.04386
Optimal solution found (tolerance 1.00e-02)
Best objective 1.264153488382e+00, best bound 1.264153488382e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi2_7yass.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0gt9wj53.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0806
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.112352e+00, 217 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11235 0 17 1.08060 2.11235 95.5% - 0s
0 0 1.76511 0 16 1.08060 1.76511 63.3% - 0s
0 0 1.74076 0 18 1.08060 1.74076 61.1% - 0s
0 0 1.73805 0 18 1.08060 1.73805 60.8% - 0s
0 0 1.71330 0 15 1.08060 1.71330 58.6% - 0s
0 0 1.71310 0 20 1.08060 1.71310 58.5% - 0s
0 0 1.70425 0 24 1.08060 1.70425 57.7% - 0s
0 0 1.70367 0 24 1.08060 1.70367 57.7% - 0s
0 0 1.70274 0 21 1.08060 1.70274 57.6% - 0s
0 0 1.70132 0 23 1.08060 1.70132 57.4% - 0s
0 0 1.70131 0 23 1.08060 1.70131 57.4% - 0s
0 0 1.69242 0 24 1.08060 1.69242 56.6% - 0s
0 0 1.69230 0 24 1.08060 1.69230 56.6% - 0s
0 0 1.68896 0 23 1.08060 1.68896 56.3% - 0s
0 0 1.67843 0 23 1.08060 1.67843 55.3% - 0s
0 0 1.67835 0 23 1.08060 1.67835 55.3% - 0s
0 0 1.67831 0 23 1.08060 1.67831 55.3% - 0s
0 0 1.67618 0 21 1.08060 1.67618 55.1% - 0s
0 0 1.67504 0 21 1.08060 1.67504 55.0% - 0s
0 0 1.67504 0 21 1.08060 1.67504 55.0% - 0s
0 0 1.67348 0 26 1.08060 1.67348 54.9% - 0s
0 0 1.67348 0 26 1.08060 1.67348 54.9% - 0s
0 2 1.67348 0 26 1.08060 1.67348 54.9% - 0s
* 114 47 25 1.1190613 1.61703 44.5% 5.5 0s
* 191 53 21 1.1198058 1.52506 36.2% 5.2 0s
* 231 56 19 1.1545704 1.51085 30.9% 5.1 0s
* 255 18 23 1.3064072 1.51085 15.6% 4.8 0s
Cutting planes:
Gomory: 8
Cover: 5
Implied bound: 6
MIR: 8
Flow cover: 26
Flow path: 1
Inf proof: 2
Network: 1
Explored 338 nodes (2113 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.30641 1.15457 1.11981 ... 1.0806
Optimal solution found (tolerance 1.00e-02)
Best objective 1.306407239095e+00, best bound 1.314966947376e+00, gap 0.6552%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuvoa4jzz.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptrjpjz9e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16851
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.027060e+00, 240 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02706 0 20 1.16851 2.02706 73.5% - 0s
0 0 1.68402 0 21 1.16851 1.68402 44.1% - 0s
0 0 1.68402 0 22 1.16851 1.68402 44.1% - 0s
0 0 1.67264 0 26 1.16851 1.67264 43.1% - 0s
0 0 1.67251 0 24 1.16851 1.67251 43.1% - 0s
0 0 1.65067 0 31 1.16851 1.65067 41.3% - 0s
0 0 1.64716 0 28 1.16851 1.64716 41.0% - 0s
0 0 1.64716 0 30 1.16851 1.64716 41.0% - 0s
0 0 1.63349 0 30 1.16851 1.63349 39.8% - 0s
0 0 1.63345 0 31 1.16851 1.63345 39.8% - 0s
0 0 1.62955 0 38 1.16851 1.62955 39.5% - 0s
0 0 1.62936 0 38 1.16851 1.62936 39.4% - 0s
0 0 1.62854 0 34 1.16851 1.62854 39.4% - 0s
0 0 1.62852 0 39 1.16851 1.62852 39.4% - 0s
0 0 1.62852 0 39 1.16851 1.62852 39.4% - 0s
0 0 1.62852 0 39 1.16851 1.62852 39.4% - 0s
H 0 0 1.1812473 1.62852 37.9% - 0s
0 2 1.62852 0 39 1.18125 1.62852 37.9% - 0s
* 267 37 25 1.1839583 1.33766 13.0% 6.1 0s
* 316 11 26 1.2173444 1.29998 6.79% 6.0 0s
Cutting planes:
Gomory: 8
Cover: 2
Implied bound: 11
MIR: 6
Flow cover: 37
Inf proof: 4
Explored 354 nodes (2609 simplex iterations) in 0.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.21734 1.18396 1.18125 1.16851
Optimal solution found (tolerance 1.00e-02)
Best objective 1.217344407581e+00, best bound 1.217344407581e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi39v18i2.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbxw4m1jv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08015
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 1.981858e+00, 288 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98186 0 22 1.08015 1.98186 83.5% - 0s
0 0 1.64639 0 21 1.08015 1.64639 52.4% - 0s
0 0 1.62789 0 26 1.08015 1.62789 50.7% - 0s
0 0 1.62558 0 26 1.08015 1.62558 50.5% - 0s
0 0 1.62543 0 23 1.08015 1.62543 50.5% - 0s
0 0 1.60734 0 25 1.08015 1.60734 48.8% - 0s
0 0 1.60703 0 27 1.08015 1.60703 48.8% - 0s
0 0 1.60703 0 27 1.08015 1.60703 48.8% - 0s
0 0 1.59410 0 30 1.08015 1.59410 47.6% - 0s
0 0 1.59410 0 30 1.08015 1.59410 47.6% - 0s
0 0 1.58996 0 29 1.08015 1.58996 47.2% - 0s
0 0 1.58970 0 30 1.08015 1.58970 47.2% - 0s
0 0 1.58691 0 32 1.08015 1.58691 46.9% - 0s
0 0 1.58690 0 32 1.08015 1.58690 46.9% - 0s
0 0 1.58672 0 31 1.08015 1.58672 46.9% - 0s
0 0 1.58672 0 28 1.08015 1.58672 46.9% - 0s
0 2 1.58672 0 28 1.08015 1.58672 46.9% - 0s
* 99 39 32 1.1514009 1.47060 27.7% 7.1 0s
* 434 0 31 1.1518779 1.21086 5.12% 6.9 0s
Cutting planes:
Gomory: 8
Implied bound: 13
MIR: 4
Flow cover: 32
Inf proof: 6
Explored 471 nodes (3824 simplex iterations) in 0.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.15188 1.1514 1.08015
Optimal solution found (tolerance 1.00e-02)
Best objective 1.151877887562e+00, best bound 1.151877887562e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpumz1ptwy.pyomo.lp
Reading time = 0.01 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv1rb8jn9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.995506
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.160300e+00, 336 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16030 0 24 0.99551 2.16030 117% - 0s
0 0 1.81304 0 25 0.99551 1.81304 82.1% - 0s
0 0 1.81304 0 22 0.99551 1.81304 82.1% - 0s
0 0 1.80249 0 25 0.99551 1.80249 81.1% - 0s
0 0 1.80249 0 25 0.99551 1.80249 81.1% - 0s
0 0 1.78007 0 32 0.99551 1.78007 78.8% - 0s
0 0 1.77695 0 36 0.99551 1.77695 78.5% - 0s
0 0 1.76026 0 36 0.99551 1.76026 76.8% - 0s
0 0 1.75608 0 36 0.99551 1.75608 76.4% - 0s
0 0 1.74924 0 36 0.99551 1.74924 75.7% - 0s
0 0 1.74680 0 36 0.99551 1.74680 75.5% - 0s
0 0 1.74680 0 36 0.99551 1.74680 75.5% - 0s
0 0 1.74551 0 37 0.99551 1.74551 75.3% - 0s
0 0 1.74540 0 37 0.99551 1.74540 75.3% - 0s
0 0 1.73472 0 34 0.99551 1.73472 74.3% - 0s
0 0 1.73462 0 38 0.99551 1.73462 74.2% - 0s
0 0 1.73458 0 41 0.99551 1.73458 74.2% - 0s
0 0 1.73458 0 38 0.99551 1.73458 74.2% - 0s
0 2 1.73458 0 37 0.99551 1.73458 74.2% - 0s
* 728 203 32 1.0364419 1.40144 35.2% 6.5 0s
* 950 190 26 1.1061822 1.34645 21.7% 6.0 0s
* 1045 168 27 1.1276265 1.32972 17.9% 5.9 0s
* 1144 145 28 1.1340777 1.30605 15.2% 6.0 0s
* 1191 141 30 1.1409053 1.30605 14.5% 5.9 0s
* 1360 114 28 1.1450858 1.29716 13.3% 5.9 0s
Cutting planes:
Gomory: 8
Cover: 5
Implied bound: 31
MIR: 5
Flow cover: 36
Flow path: 1
Inf proof: 36
Explored 1626 nodes (9902 simplex iterations) in 0.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.14509 1.14091 1.13408 ... 0.995506
Optimal solution found (tolerance 1.00e-02)
Best objective 1.145085834994e+00, best bound 1.145085834994e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnvugfex_.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp16fsgayx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02008
Presolve removed 260 rows and 165 columns
Presolve time: 0.02s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.122044e+00, 362 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12204 0 27 1.02008 2.12204 108% - 0s
0 0 1.77304 0 29 1.02008 1.77304 73.8% - 0s
0 0 1.76152 0 39 1.02008 1.76152 72.7% - 0s
0 0 1.75950 0 37 1.02008 1.75950 72.5% - 0s
0 0 1.73379 0 42 1.02008 1.73379 70.0% - 0s
0 0 1.72090 0 36 1.02008 1.72090 68.7% - 0s
0 0 1.72090 0 37 1.02008 1.72090 68.7% - 0s
0 0 1.70854 0 47 1.02008 1.70854 67.5% - 0s
0 0 1.70840 0 48 1.02008 1.70840 67.5% - 0s
0 0 1.70651 0 49 1.02008 1.70651 67.3% - 0s
0 0 1.70651 0 49 1.02008 1.70651 67.3% - 0s
0 2 1.70651 0 49 1.02008 1.70651 67.3% - 0s
* 697 219 35 1.0570809 1.43457 35.7% 7.3 0s
* 1084 242 36 1.1208755 1.34226 19.8% 6.5 0s
* 1175 239 38 1.1501829 1.34099 16.6% 6.3 0s
* 1634 158 37 1.1544914 1.28267 11.1% 6.1 0s
Cutting planes:
Gomory: 15
Cover: 12
Implied bound: 30
MIR: 13
Flow cover: 35
Inf proof: 25
Network: 1
Explored 1880 nodes (12102 simplex iterations) in 1.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.15449 1.15018 1.12088 ... 1.02008
Optimal solution found (tolerance 1.00e-02)
Best objective 1.154491353793e+00, best bound 1.157252719860e+00, gap 0.2392%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzs3t38pk.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6epn4f42.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05322
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.066980e+00, 375 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06698 0 30 1.05322 2.06698 96.3% - 0s
0 0 1.72681 0 24 1.05322 1.72681 64.0% - 0s
0 0 1.71043 0 37 1.05322 1.71043 62.4% - 0s
0 0 1.70841 0 36 1.05322 1.70841 62.2% - 0s
0 0 1.70834 0 34 1.05322 1.70834 62.2% - 0s
0 0 1.69069 0 43 1.05322 1.69069 60.5% - 0s
0 0 1.69032 0 44 1.05322 1.69032 60.5% - 0s
0 0 1.68580 0 44 1.05322 1.68580 60.1% - 0s
0 0 1.68580 0 44 1.05322 1.68580 60.1% - 0s
0 0 1.67190 0 37 1.05322 1.67190 58.7% - 0s
0 0 1.66941 0 37 1.05322 1.66941 58.5% - 0s
0 0 1.66941 0 37 1.05322 1.66941 58.5% - 0s
0 0 1.65736 0 48 1.05322 1.65736 57.4% - 0s
0 0 1.65736 0 49 1.05322 1.65736 57.4% - 0s
0 0 1.65355 0 49 1.05322 1.65355 57.0% - 0s
0 0 1.65285 0 45 1.05322 1.65285 56.9% - 0s
0 0 1.65282 0 45 1.05322 1.65282 56.9% - 0s
0 0 1.65125 0 40 1.05322 1.65125 56.8% - 0s
0 0 1.65084 0 45 1.05322 1.65084 56.7% - 0s
0 0 1.65084 0 45 1.05322 1.65084 56.7% - 0s
0 0 1.65070 0 46 1.05322 1.65070 56.7% - 0s
0 0 1.65070 0 46 1.05322 1.65070 56.7% - 0s
0 2 1.65070 0 41 1.05322 1.65070 56.7% - 0s
* 1624 330 44 1.0811580 1.29324 19.6% 6.8 0s
* 1732 283 37 1.1259589 1.28312 14.0% 6.8 0s
Cutting planes:
Gomory: 11
Cover: 15
Implied bound: 35
MIR: 21
Flow cover: 44
Inf proof: 32
Network: 1
Explored 2159 nodes (15405 simplex iterations) in 1.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.12596 1.08116 1.05322
Optimal solution found (tolerance 1.00e-02)
Best objective 1.125958920009e+00, best bound 1.125958920009e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy35e60xm.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplpaytzoy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04995
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.945567e+00, 408 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94557 0 32 1.04995 1.94557 85.3% - 0s
0 0 1.61969 0 27 1.04995 1.61969 54.3% - 0s
0 0 1.61761 0 38 1.04995 1.61761 54.1% - 0s
0 0 1.61761 0 40 1.04995 1.61761 54.1% - 0s
0 0 1.58333 0 41 1.04995 1.58333 50.8% - 0s
0 0 1.58018 0 40 1.04995 1.58018 50.5% - 0s
0 0 1.58015 0 41 1.04995 1.58015 50.5% - 0s
0 0 1.56716 0 45 1.04995 1.56716 49.3% - 0s
0 0 1.56704 0 45 1.04995 1.56704 49.2% - 0s
0 0 1.56629 0 49 1.04995 1.56629 49.2% - 0s
0 0 1.56629 0 49 1.04995 1.56629 49.2% - 0s
0 2 1.56629 0 49 1.04995 1.56629 49.2% - 0s
* 1067 227 45 1.0516863 1.22162 16.2% 7.0 0s
Cutting planes:
Gomory: 17
Cover: 2
Implied bound: 19
MIR: 15
Flow cover: 41
Flow path: 1
Inf proof: 12
Network: 1
Explored 1842 nodes (12721 simplex iterations) in 1.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.05169 1.04995
Optimal solution found (tolerance 1.00e-02)
Best objective 1.051686331746e+00, best bound 1.051686331746e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf9hw0dx4.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdeiorczv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.973684
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.893093e+00, 434 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89309 0 36 0.97368 1.89309 94.4% - 0s
0 0 1.57257 0 29 0.97368 1.57257 61.5% - 0s
0 0 1.57220 0 29 0.97368 1.57220 61.5% - 0s
0 0 1.56572 0 33 0.97368 1.56572 60.8% - 0s
0 0 1.55455 0 40 0.97368 1.55455 59.7% - 0s
0 0 1.55266 0 43 0.97368 1.55266 59.5% - 0s
0 0 1.53521 0 44 0.97368 1.53521 57.7% - 0s
0 0 1.53337 0 49 0.97368 1.53337 57.5% - 0s
0 0 1.53298 0 49 0.97368 1.53298 57.4% - 0s
0 0 1.51059 0 53 0.97368 1.51059 55.1% - 0s
0 0 1.51030 0 56 0.97368 1.51030 55.1% - 0s
0 0 1.51030 0 56 0.97368 1.51030 55.1% - 0s
0 0 1.50705 0 52 0.97368 1.50705 54.8% - 0s
0 0 1.50705 0 53 0.97368 1.50705 54.8% - 0s
0 0 1.50684 0 54 0.97368 1.50684 54.8% - 0s
0 0 1.50684 0 54 0.97368 1.50684 54.8% - 0s
0 2 1.50684 0 54 0.97368 1.50684 54.8% - 0s
* 770 281 54 1.0023161 1.34376 34.1% 7.7 0s
Cutting planes:
Gomory: 18
Cover: 6
Implied bound: 31
MIR: 12
Flow cover: 44
Inf proof: 11
Network: 2
Explored 2065 nodes (15865 simplex iterations) in 1.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.00232 0.973684
Optimal solution found (tolerance 1.00e-02)
Best objective 1.002316120861e+00, best bound 1.002316120861e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmic0_ghr.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl6l08ici.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.92796
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.817465e+00, 523 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81746 0 39 0.92796 1.81746 95.9% - 0s
0 0 1.50679 0 29 0.92796 1.50679 62.4% - 0s
0 0 1.49562 0 36 0.92796 1.49562 61.2% - 0s
0 0 1.49557 0 36 0.92796 1.49557 61.2% - 0s
0 0 1.47398 0 41 0.92796 1.47398 58.8% - 0s
0 0 1.47237 0 46 0.92796 1.47237 58.7% - 0s
0 0 1.46799 0 49 0.92796 1.46799 58.2% - 0s
0 0 1.46778 0 48 0.92796 1.46778 58.2% - 0s
0 0 1.45592 0 45 0.92796 1.45592 56.9% - 0s
0 0 1.45587 0 47 0.92796 1.45587 56.9% - 0s
0 0 1.44891 0 54 0.92796 1.44891 56.1% - 0s
0 0 1.44891 0 57 0.92796 1.44891 56.1% - 0s
0 0 1.44561 0 52 0.92796 1.44561 55.8% - 0s
0 0 1.44561 0 55 0.92796 1.44561 55.8% - 0s
0 0 1.44522 0 56 0.92796 1.44522 55.7% - 0s
0 0 1.44522 0 55 0.92796 1.44522 55.7% - 0s
0 2 1.44522 0 53 0.92796 1.44522 55.7% - 0s
H 996 315 0.9609933 1.21931 26.9% 8.7 0s
Cutting planes:
Gomory: 15
Cover: 4
Implied bound: 26
MIR: 14
Flow cover: 50
Inf proof: 19
Explored 1874 nodes (14930 simplex iterations) in 1.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.960993 0.92796
Optimal solution found (tolerance 1.00e-02)
Best objective 9.609933244955e-01, best bound 9.609933244955e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpio83ds5r.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx_z2hyx2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.881639
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.843084e+00, 518 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84308 0 42 0.88164 1.84308 109% - 0s
0 0 1.53622 0 45 0.88164 1.53622 74.2% - 0s
0 0 1.53622 0 45 0.88164 1.53622 74.2% - 0s
0 0 1.53213 0 55 0.88164 1.53213 73.8% - 0s
0 0 1.52789 0 49 0.88164 1.52789 73.3% - 0s
0 0 1.52779 0 47 0.88164 1.52779 73.3% - 0s
0 0 1.50379 0 52 0.88164 1.50379 70.6% - 0s
0 0 1.49886 0 60 0.88164 1.49886 70.0% - 0s
0 0 1.49105 0 63 0.88164 1.49105 69.1% - 0s
0 0 1.49095 0 62 0.88164 1.49095 69.1% - 0s
0 0 1.46474 0 59 0.88164 1.46474 66.1% - 0s
0 0 1.46193 0 64 0.88164 1.46193 65.8% - 0s
0 0 1.46176 0 62 0.88164 1.46176 65.8% - 0s
0 0 1.45751 0 61 0.88164 1.45751 65.3% - 0s
0 0 1.45751 0 61 0.88164 1.45751 65.3% - 0s
0 0 1.45727 0 61 0.88164 1.45727 65.3% - 0s
0 0 1.45727 0 52 0.88164 1.45727 65.3% - 0s
0 2 1.45727 0 52 0.88164 1.45727 65.3% - 0s
* 1157 399 59 0.9520293 1.27858 34.3% 8.8 0s
Cutting planes:
Gomory: 22
Cover: 12
Implied bound: 53
MIR: 19
Flow cover: 58
Flow path: 1
Inf proof: 56
Explored 4694 nodes (33061 simplex iterations) in 2.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.952029 0.881639
Optimal solution found (tolerance 1.00e-02)
Best objective 9.520292922454e-01, best bound 9.520292922454e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdfz8ee0x.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzbsah6ez.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.88799
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.775662e+00, 511 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77566 0 50 0.88799 1.77566 100% - 0s
0 0 1.48173 0 42 0.88799 1.48173 66.9% - 0s
0 0 1.48173 0 42 0.88799 1.48173 66.9% - 0s
0 0 1.47132 0 52 0.88799 1.47132 65.7% - 0s
0 0 1.46979 0 51 0.88799 1.46979 65.5% - 0s
0 0 1.46969 0 49 0.88799 1.46969 65.5% - 0s
0 0 1.45037 0 62 0.88799 1.45037 63.3% - 0s
0 0 1.44918 0 63 0.88799 1.44918 63.2% - 0s
0 0 1.44913 0 63 0.88799 1.44913 63.2% - 0s
0 0 1.43255 0 63 0.88799 1.43255 61.3% - 0s
0 0 1.43209 0 69 0.88799 1.43209 61.3% - 0s
0 0 1.43203 0 69 0.88799 1.43203 61.3% - 0s
0 0 1.41801 0 69 0.88799 1.41801 59.7% - 0s
0 0 1.41800 0 71 0.88799 1.41800 59.7% - 0s
0 0 1.41797 0 73 0.88799 1.41797 59.7% - 0s
0 0 1.41797 0 65 0.88799 1.41797 59.7% - 0s
0 2 1.41797 0 64 0.88799 1.41797 59.7% - 0s
H 2674 264 0.8960017 0.98761 10.2% 12.0 3s
* 2852 233 71 0.8975529 0.97797 8.96% 11.8 3s
* 2853 209 70 0.9041542 0.97797 8.16% 11.8 3s
* 2857 207 71 0.9049088 0.97797 8.07% 11.8 3s
Cutting planes:
Gomory: 28
Cover: 7
Implied bound: 19
Projected implied bound: 31
MIR: 19
Flow cover: 56
Flow path: 1
Inf proof: 21
Explored 3424 nodes (39002 simplex iterations) in 3.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.904909 0.904154 0.897553 ... 0.88799
Optimal solution found (tolerance 1.00e-02)
Best objective 9.049087547364e-01, best bound 9.092619126070e-01, gap 0.4811%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1sjp_2jl.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptdqbjn0k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920332
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.851155e+00, 515 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85115 0 42 0.92033 1.85115 101% - 0s
0 0 1.61229 0 63 0.92033 1.61229 75.2% - 0s
0 0 1.61221 0 63 0.92033 1.61221 75.2% - 0s
0 0 1.56271 0 63 0.92033 1.56271 69.8% - 0s
0 0 1.55270 0 62 0.92033 1.55270 68.7% - 0s
0 0 1.55269 0 62 0.92033 1.55269 68.7% - 0s
0 0 1.53709 0 72 0.92033 1.53709 67.0% - 0s
0 0 1.53339 0 70 0.92033 1.53339 66.6% - 0s
0 0 1.53331 0 70 0.92033 1.53331 66.6% - 0s
0 0 1.52559 0 74 0.92033 1.52559 65.8% - 0s
0 0 1.52456 0 81 0.92033 1.52456 65.7% - 0s
0 0 1.52456 0 81 0.92033 1.52456 65.7% - 0s
0 0 1.52235 0 74 0.92033 1.52235 65.4% - 0s
0 0 1.52164 0 79 0.92033 1.52164 65.3% - 0s
0 0 1.52151 0 79 0.92033 1.52151 65.3% - 0s
0 0 1.52140 0 80 0.92033 1.52140 65.3% - 0s
0 0 1.52138 0 79 0.92033 1.52138 65.3% - 0s
0 0 1.51965 0 76 0.92033 1.51965 65.1% - 0s
0 0 1.51946 0 77 0.92033 1.51946 65.1% - 0s
0 0 1.51944 0 76 0.92033 1.51944 65.1% - 0s
0 0 1.51944 0 76 0.92033 1.51944 65.1% - 0s
0 2 1.51944 0 65 0.92033 1.51944 65.1% - 0s
* 3462 317 67 0.9246399 1.01569 9.85% 11.6 4s
* 3895 82 72 0.9251471 0.96566 4.38% 11.0 4s
* 4096 0 71 0.9281783 0.94078 1.36% 10.7 4s
Cutting planes:
Gomory: 34
Cover: 5
Implied bound: 18
Projected implied bound: 29
Clique: 3
MIR: 15
Flow cover: 63
Flow path: 2
Inf proof: 28
Explored 4114 nodes (45323 simplex iterations) in 4.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.928178 0.925147 0.92464 0.920332
Optimal solution found (tolerance 1.00e-02)
Best objective 9.281782541886e-01, best bound 9.281782541886e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8qpobw2k.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5cv6k4yd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.917054
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.812765e+00, 614 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81277 0 49 0.91705 1.81277 97.7% - 0s
0 0 1.54545 0 66 0.91705 1.54545 68.5% - 0s
0 0 1.54530 0 66 0.91705 1.54530 68.5% - 0s
0 0 1.51919 0 69 0.91705 1.51919 65.7% - 0s
0 0 1.51873 0 68 0.91705 1.51873 65.6% - 0s
0 0 1.51872 0 70 0.91705 1.51872 65.6% - 0s
0 0 1.50439 0 77 0.91705 1.50439 64.0% - 0s
0 0 1.49788 0 74 0.91705 1.49788 63.3% - 0s
0 0 1.49749 0 64 0.91705 1.49749 63.3% - 0s
0 0 1.47879 0 74 0.91705 1.47879 61.3% - 0s
0 0 1.47445 0 76 0.91705 1.47445 60.8% - 0s
0 0 1.47438 0 76 0.91705 1.47438 60.8% - 0s
0 0 1.46893 0 85 0.91705 1.46893 60.2% - 0s
0 0 1.46752 0 85 0.91705 1.46752 60.0% - 0s
0 0 1.46671 0 85 0.91705 1.46671 59.9% - 0s
0 0 1.46575 0 83 0.91705 1.46575 59.8% - 0s
0 0 1.46575 0 84 0.91705 1.46575 59.8% - 0s
0 0 1.46129 0 88 0.91705 1.46129 59.3% - 0s
0 0 1.46128 0 88 0.91705 1.46128 59.3% - 0s
0 0 1.46109 0 89 0.91705 1.46109 59.3% - 0s
0 0 1.46109 0 89 0.91705 1.46109 59.3% - 0s
0 2 1.46109 0 80 0.91705 1.46109 59.3% - 0s
* 2216 209 67 0.9278954 1.08097 16.5% 11.5 3s
* 2251 209 63 0.9402580 1.07621 14.5% 11.4 3s
* 2742 87 57 0.9416464 0.99405 5.57% 10.8 3s
* 2773 20 63 0.9476407 0.98047 3.46% 10.8 4s
* 2869 24 59 0.9495904 0.98047 3.25% 10.6 4s
Cutting planes:
Gomory: 21
Cover: 4
Implied bound: 21
Projected implied bound: 25
Clique: 1
MIR: 11
Flow cover: 60
Flow path: 1
GUB cover: 1
Inf proof: 16
Explored 2908 nodes (32074 simplex iterations) in 4.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.94959 0.947641 0.941646 ... 0.917054
Optimal solution found (tolerance 1.00e-02)
Best objective 9.495903754301e-01, best bound 9.530965250398e-01, gap 0.3692%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprp4bx9vf.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjuq0fxli.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939011
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.773908e+00, 614 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77391 0 49 0.93901 1.77391 88.9% - 0s
0 0 1.65367 0 70 0.93901 1.65367 76.1% - 0s
0 0 1.65367 0 70 0.93901 1.65367 76.1% - 0s
0 0 1.62263 0 80 0.93901 1.62263 72.8% - 0s
0 0 1.62116 0 80 0.93901 1.62116 72.6% - 0s
0 0 1.60326 0 81 0.93901 1.60326 70.7% - 0s
0 0 1.60256 0 85 0.93901 1.60256 70.7% - 0s
0 0 1.59022 0 84 0.93901 1.59022 69.4% - 0s
0 0 1.58580 0 94 0.93901 1.58580 68.9% - 0s
0 0 1.57203 0 90 0.93901 1.57203 67.4% - 0s
0 0 1.57198 0 94 0.93901 1.57198 67.4% - 0s
0 0 1.57170 0 89 0.93901 1.57170 67.4% - 0s
0 0 1.57164 0 95 0.93901 1.57164 67.4% - 0s
0 0 1.57164 0 96 0.93901 1.57164 67.4% - 0s
0 0 1.57164 0 82 0.93901 1.57164 67.4% - 0s
0 2 1.57164 0 79 0.93901 1.57164 67.4% - 0s
* 1055 440 81 0.9391029 1.31089 39.6% 12.2 2s
Cutting planes:
Gomory: 24
Cover: 5
Implied bound: 25
Projected implied bound: 25
MIR: 11
Flow cover: 61
Flow path: 1
Inf proof: 40
Explored 4153 nodes (44501 simplex iterations) in 4.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.939103 0.939011
Optimal solution found (tolerance 1.00e-02)
Best objective 9.391028952015e-01, best bound 9.391028952015e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn19bghh3.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw80tm7us.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911681
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.735996e+00, 690 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73600 0 51 0.91168 1.73600 90.4% - 0s
0 0 1.61483 0 70 0.91168 1.61483 77.1% - 0s
0 0 1.61467 0 70 0.91168 1.61467 77.1% - 0s
0 0 1.54009 0 73 0.91168 1.54009 68.9% - 0s
0 0 1.54005 0 71 0.91168 1.54005 68.9% - 0s
0 0 1.53084 0 85 0.91168 1.53084 67.9% - 0s
0 0 1.51984 0 81 0.91168 1.51984 66.7% - 0s
0 0 1.50115 0 84 0.91168 1.50115 64.7% - 0s
0 0 1.50033 0 83 0.91168 1.50033 64.6% - 0s
0 0 1.49487 0 104 0.91168 1.49487 64.0% - 0s
0 0 1.49369 0 90 0.91168 1.49369 63.8% - 0s
0 0 1.49204 0 93 0.91168 1.49204 63.7% - 0s
0 0 1.49163 0 94 0.91168 1.49163 63.6% - 0s
0 0 1.48983 0 103 0.91168 1.48983 63.4% - 0s
0 0 1.48882 0 99 0.91168 1.48882 63.3% - 0s
0 0 1.48840 0 101 0.91168 1.48840 63.3% - 0s
0 0 1.48839 0 104 0.91168 1.48839 63.3% - 0s
0 0 1.48817 0 101 0.91168 1.48817 63.2% - 0s
0 0 1.48815 0 102 0.91168 1.48815 63.2% - 0s
0 0 1.48815 0 102 0.91168 1.48815 63.2% - 0s
0 0 1.48815 0 102 0.91168 1.48815 63.2% - 0s
0 2 1.48815 0 102 0.91168 1.48815 63.2% - 0s
* 3963 209 65 0.9157659 0.98808 7.90% 11.7 4s
4088 211 0.95610 32 28 0.91577 0.97421 6.38% 11.6 5s
Cutting planes:
Learned: 1
Gomory: 27
Cover: 12
Implied bound: 18
Projected implied bound: 14
Clique: 1
MIR: 33
Flow cover: 61
Flow path: 2
Inf proof: 27
Network: 1
Explored 4607 nodes (53225 simplex iterations) in 5.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.915766 0.911681
Optimal solution found (tolerance 1.00e-02)
Best objective 9.157658816640e-01, best bound 9.242621520965e-01, gap 0.9278%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt1yjc1qw.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvnncuzom.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899163
Presolve removed 403 rows and 253 columns
Presolve time: 0.03s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.705855e+00, 683 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70586 0 48 0.89916 1.70586 89.7% - 0s
0 0 1.60010 0 72 0.89916 1.60010 78.0% - 0s
0 0 1.59555 0 72 0.89916 1.59555 77.4% - 0s
0 0 1.51354 0 75 0.89916 1.51354 68.3% - 0s
0 0 1.51210 0 75 0.89916 1.51210 68.2% - 0s
0 0 1.50089 0 87 0.89916 1.50089 66.9% - 0s
0 0 1.49755 0 88 0.89916 1.49755 66.5% - 0s
0 0 1.48349 0 78 0.89916 1.48349 65.0% - 0s
0 0 1.48174 0 89 0.89916 1.48174 64.8% - 0s
0 0 1.47857 0 83 0.89916 1.47857 64.4% - 0s
0 0 1.47708 0 85 0.89916 1.47708 64.3% - 0s
0 0 1.47537 0 85 0.89916 1.47537 64.1% - 0s
0 0 1.47503 0 84 0.89916 1.47503 64.0% - 0s
0 0 1.47280 0 80 0.89916 1.47280 63.8% - 0s
0 0 1.47170 0 83 0.89916 1.47170 63.7% - 0s
0 0 1.47170 0 84 0.89916 1.47170 63.7% - 0s
0 0 1.47133 0 88 0.89916 1.47133 63.6% - 0s
0 0 1.47127 0 88 0.89916 1.47127 63.6% - 0s
0 0 1.47124 0 85 0.89916 1.47124 63.6% - 0s
0 0 1.47123 0 85 0.89916 1.47123 63.6% - 0s
0 0 1.47123 0 87 0.89916 1.47123 63.6% - 0s
0 0 1.47123 0 82 0.89916 1.47123 63.6% - 0s
0 2 1.47123 0 82 0.89916 1.47123 63.6% - 0s
H 2157 487 0.8999596 1.18989 32.2% 12.6 3s
* 2933 690 85 0.9037863 1.10929 22.7% 12.6 4s
3626 582 0.91391 40 41 0.90379 1.05358 16.6% 12.0 5s
H 3714 623 0.9037863 1.05347 16.6% 11.9 5s
Cutting planes:
Gomory: 21
Cover: 7
Implied bound: 23
Projected implied bound: 27
Clique: 1
MIR: 12
Flow cover: 63
Flow path: 2
Inf proof: 28
Network: 1
Explored 4874 nodes (55156 simplex iterations) in 5.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.903786 0.903786 0.89996 0.899163
Optimal solution found (tolerance 1.00e-02)
Best objective 9.037862991625e-01, best bound 9.059323656461e-01, gap 0.2375%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6w9lmkec.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzxx_nbw6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878761
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.661879e+00, 726 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66188 0 53 0.87876 1.66188 89.1% - 0s
0 0 1.55211 0 76 0.87876 1.55211 76.6% - 0s
0 0 1.55211 0 76 0.87876 1.55211 76.6% - 0s
0 0 1.46413 0 86 0.87876 1.46413 66.6% - 0s
0 0 1.45718 0 75 0.87876 1.45718 65.8% - 0s
0 0 1.44130 0 86 0.87876 1.44130 64.0% - 0s
0 0 1.43624 0 87 0.87876 1.43624 63.4% - 0s
0 0 1.43030 0 93 0.87876 1.43030 62.8% - 0s
0 0 1.42995 0 93 0.87876 1.42995 62.7% - 0s
0 0 1.42851 0 94 0.87876 1.42851 62.6% - 0s
0 0 1.42843 0 92 0.87876 1.42843 62.6% - 0s
0 0 1.42734 0 98 0.87876 1.42734 62.4% - 0s
0 0 1.42641 0 97 0.87876 1.42641 62.3% - 0s
0 0 1.42451 0 97 0.87876 1.42451 62.1% - 0s
0 0 1.42399 0 96 0.87876 1.42399 62.0% - 0s
0 0 1.42383 0 101 0.87876 1.42383 62.0% - 0s
0 0 1.42381 0 101 0.87876 1.42381 62.0% - 0s
0 0 1.42375 0 101 0.87876 1.42375 62.0% - 0s
0 0 1.42375 0 101 0.87876 1.42375 62.0% - 0s
0 2 1.42375 0 95 0.87876 1.42375 62.0% - 0s
2644 599 0.90352 43 39 0.87876 1.06179 20.8% 15.0 5s
* 4359 325 81 0.8798411 0.93694 6.49% 13.0 6s
* 4423 305 87 0.8835011 0.93456 5.78% 12.9 6s
* 4980 11 89 0.8838813 0.89502 1.26% 12.4 6s
Cutting planes:
Gomory: 25
Cover: 3
Implied bound: 22
Projected implied bound: 27
MIR: 19
Flow cover: 66
Flow path: 2
GUB cover: 1
Inf proof: 29
Explored 5058 nodes (63662 simplex iterations) in 6.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.883881 0.883501 0.879841 0.878761
Optimal solution found (tolerance 1.00e-02)
Best objective 8.838813334482e-01, best bound 8.867850422709e-01, gap 0.3285%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkm9cl_5q.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe2hcv6th.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.876221
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.696318e+00, 682 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69632 0 60 0.87622 1.69632 93.6% - 0s
0 0 1.59355 0 90 0.87622 1.59355 81.9% - 0s
0 0 1.59338 0 90 0.87622 1.59338 81.8% - 0s
0 0 1.47555 0 100 0.87622 1.47555 68.4% - 0s
0 0 1.47116 0 97 0.87622 1.47116 67.9% - 0s
0 0 1.45543 0 103 0.87622 1.45543 66.1% - 0s
0 0 1.45490 0 102 0.87622 1.45490 66.0% - 0s
0 0 1.45195 0 101 0.87622 1.45195 65.7% - 0s
0 0 1.45166 0 98 0.87622 1.45166 65.7% - 0s
0 0 1.45160 0 104 0.87622 1.45160 65.7% - 0s
0 0 1.44905 0 110 0.87622 1.44905 65.4% - 0s
0 0 1.44670 0 103 0.87622 1.44670 65.1% - 0s
0 0 1.44670 0 104 0.87622 1.44670 65.1% - 0s
0 0 1.44608 0 109 0.87622 1.44608 65.0% - 0s
0 0 1.44555 0 107 0.87622 1.44555 65.0% - 0s
0 0 1.44555 0 107 0.87622 1.44555 65.0% - 0s
0 0 1.44552 0 108 0.87622 1.44552 65.0% - 0s
0 0 1.44552 0 108 0.87622 1.44552 65.0% - 0s
0 0 1.44552 0 108 0.87622 1.44552 65.0% - 0s
0 0 1.44552 0 108 0.87622 1.44552 65.0% - 0s
0 2 1.44552 0 95 0.87622 1.44552 65.0% - 0s
2889 563 1.06558 30 67 0.87622 1.12268 28.1% 14.4 5s
H 4107 660 0.8765834 1.04555 19.3% 13.6 6s
* 5493 832 81 0.8790144 0.99025 12.7% 12.1 7s
H 6153 913 0.8803457 0.97599 10.9% 12.0 8s
H 6154 911 0.8812987 0.97599 10.7% 12.0 8s
* 6633 854 81 0.8813178 0.97100 10.2% 12.0 8s
7698 535 infeasible 52 0.88132 0.94981 7.77% 12.3 10s
Cutting planes:
Gomory: 28
Cover: 1
Implied bound: 25
Projected implied bound: 24
MIR: 25
StrongCG: 1
Flow cover: 80
Flow path: 1
Inf proof: 91
Network: 1
Explored 8497 nodes (104115 simplex iterations) in 10.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.881318 0.881299 0.880346 ... 0.876221
Optimal solution found (tolerance 1.00e-02)
Best objective 8.813178055427e-01, best bound 8.869286300143e-01, gap 0.6366%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_hvfemxf.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy8w5sa83.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.865223
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.671890e+00, 747 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67189 0 63 0.86522 1.67189 93.2% - 0s
0 0 1.57898 0 88 0.86522 1.57898 82.5% - 0s
0 0 1.57898 0 88 0.86522 1.57898 82.5% - 0s
0 0 1.48812 0 96 0.86522 1.48812 72.0% - 0s
0 0 1.48442 0 92 0.86522 1.48442 71.6% - 0s
0 0 1.46760 0 106 0.86522 1.46760 69.6% - 0s
0 0 1.46543 0 104 0.86522 1.46543 69.4% - 0s
0 0 1.46213 0 107 0.86522 1.46213 69.0% - 0s
0 0 1.45835 0 101 0.86522 1.45835 68.6% - 0s
0 0 1.45538 0 104 0.86522 1.45538 68.2% - 0s
0 0 1.45533 0 104 0.86522 1.45533 68.2% - 0s
0 0 1.45493 0 111 0.86522 1.45493 68.2% - 0s
0 0 1.45493 0 111 0.86522 1.45493 68.2% - 0s
0 0 1.45492 0 111 0.86522 1.45492 68.2% - 0s
0 0 1.45492 0 89 0.86522 1.45492 68.2% - 0s
0 2 1.45492 0 86 0.86522 1.45492 68.2% - 0s
H 1194 468 0.8670867 1.18747 36.9% 15.8 3s
* 1632 468 109 0.8670887 1.14929 32.5% 15.2 3s
2586 630 cutoff 31 0.86709 1.10168 27.1% 15.3 5s
H 3795 823 0.8670887 1.02208 17.9% 14.4 6s
Cutting planes:
Gomory: 14
Cover: 4
Implied bound: 18
Projected implied bound: 26
Clique: 1
MIR: 20
Flow cover: 74
Flow path: 2
Inf proof: 58
Explored 7380 nodes (94208 simplex iterations) in 9.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.867089 0.867089 0.867087 0.865223
Optimal solution found (tolerance 1.00e-02)
Best objective 8.670886941614e-01, best bound 8.702889853344e-01, gap 0.3691%
Run 7
Seed for training 10
Seed for simulation 596
direc: array([[ 3.31477619e-03, 1.24814215e-05, 2.50121932e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.12243498e+02, 6.18161089e+01, 5.38077049e+01]])
fopt: 0.8276742200197089
fun: -0.8261664231213196
message: 'Optimization terminated successfully.'
nfev: 683
nit: 8
status: 0
success: True
x: array([ 83.00000836, 168. , 152.0154906 ])
xopt: array([ 83., 168., 153.])
zopt: array([ 83., 251., 404.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe4zwdh4t.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9lelcmo_.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.827674
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.553846e+00, 936 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55385 0 81 0.82767 1.55385 87.7% - 0s
0 0 1.51458 0 84 0.82767 1.51458 83.0% - 0s
0 0 1.51140 0 85 0.82767 1.51140 82.6% - 0s
0 0 1.50203 0 93 0.82767 1.50203 81.5% - 0s
0 0 1.49558 0 92 0.82767 1.49558 80.7% - 0s
0 0 1.49471 0 91 0.82767 1.49471 80.6% - 0s
0 0 1.49206 0 96 0.82767 1.49206 80.3% - 0s
0 0 1.48666 0 98 0.82767 1.48666 79.6% - 0s
0 0 1.48666 0 98 0.82767 1.48666 79.6% - 0s
0 0 1.48429 0 98 0.82767 1.48429 79.3% - 0s
0 0 1.48335 0 101 0.82767 1.48335 79.2% - 0s
0 0 1.48197 0 95 0.82767 1.48197 79.1% - 0s
0 0 1.48197 0 96 0.82767 1.48197 79.1% - 0s
0 0 1.48197 0 97 0.82767 1.48197 79.1% - 0s
0 0 1.48194 0 97 0.82767 1.48194 79.0% - 0s
0 0 1.48192 0 97 0.82767 1.48192 79.0% - 0s
0 0 1.48192 0 89 0.82767 1.48192 79.0% - 0s
0 2 1.48192 0 89 0.82767 1.48192 79.0% - 0s
* 1562 516 119 0.8774100 1.23910 41.2% 9.5 1s
* 4980 1489 102 0.8908699 1.13551 27.5% 8.7 2s
* 5144 1526 94 0.8912602 1.13113 26.9% 8.7 2s
* 5308 1378 123 0.9136249 1.12560 23.2% 8.7 3s
H 6815 1173 0.9269330 1.05933 14.3% 8.6 4s
8044 742 infeasible 43 0.92693 0.98215 5.96% 8.5 5s
Cutting planes:
Gomory: 3
Implied bound: 6
Clique: 2
MIR: 5
Flow cover: 20
Flow path: 2
Inf proof: 3
Explored 10091 nodes (81819 simplex iterations) in 6.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.926933 0.913625 0.89126 ... 0.827674
Optimal solution found (tolerance 0.00e+00)
Best objective 9.269330402139e-01, best bound 9.269330402139e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd2m5oh28.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphdiluno2.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.00s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.1149841e+02 3.063409e+03 0.000000e+00 0s
158 1.8422494e+01 0.000000e+00 0.000000e+00 0s
Solved in 158 iterations and 0.01 seconds
Optimal objective 1.842249409e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.09826441, 0.01393968, 0.01393968]])
fopt: 1.549465605952744
fun: -1.5572122496871588
message: 'Optimization terminated successfully.'
nfev: 145
nit: 2
status: 0
success: True
x: array([15.00000217, -0.99991384, -0.99991384])
xopt: array([15., 0., 0.])
zopt: array([15., 15., 15.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-3.46856987e-03, 2.09769217e-04, 1.79164302e-04],
[-2.00953946e-06, -1.62730154e-03, -5.52198486e-05]])
fopt: 2.109040095104861
fun: -2.133260382943722
message: 'Optimization terminated successfully.'
nfev: 351
nit: 5
status: 0
success: True
x: array([36.01596319, -0.99770437, -0.99683545])
xopt: array([36., 0., 0.])
zopt: array([36., 36., 36.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.42466733e-02, 5.13249820e-04, 7.90485801e-03]])
fopt: 1.6216165466002048
fun: -1.636052494440465
message: 'Optimization terminated successfully.'
nfev: 257
nit: 3
status: 0
success: True
x: array([ 51.20004101, -0.99966858, -24.99971254])
xopt: array([51., 0., 0.])
zopt: array([51., 51., 51.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.96511011e-02, 9.19561189e-04, 7.77650298e-05]])
fopt: 1.706352971991151
fun: -1.712476044388636
message: 'Optimization terminated successfully.'
nfev: 192
nit: 2
status: 0
success: True
x: array([73.47308232, -0.34260378, 0.88649051])
xopt: array([73., 0., 0.])
zopt: array([73., 73., 73.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.51885039e-08, -2.59617242e-13, -2.04115508e-13]])
fopt: 1.6113446380588663
fun: -1.6172367266718706
message: 'Optimization terminated successfully.'
nfev: 251
nit: 2
status: 0
success: True
x: array([95.11968351, 1.00096413, 1.0007627 ])
xopt: array([95., 1., 1.])
zopt: array([95., 96., 97.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1521
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.25010899e-05, -1.22452201e-08, 2.55744058e-07]])
fopt: 1.4239619697303576
fun: -1.4305526053467736
message: 'Optimization terminated successfully.'
nfev: 339
nit: 3
status: 0
success: True
x: array([135.02973471, 1.03856922, 0.13868797])
xopt: array([135., 1., 0.])
zopt: array([135., 136., 136.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1513
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2427: RuntimeWarning: overflow encountered in add return func(p + alpha*xi) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2429: RuntimeWarning: overflow encountered in multiply xi = alpha_min*xi /home/hdpp/or-gym/or_gym/algos/math_prog_utils.py:237: RuntimeWarning: invalid value encountered in remainder if local_search & (np.sum(np.mod(xopt,1)) != 0):
direc: array([[-4.04839706e-003, -1.49171897e-008, 3.67193367e-005],
[ 0.00000000e+000, 1.00000000e+000, 0.00000000e+000],
[-3.26881951e+305, -3.30008946e+303, -1.30642820e+308]])
fopt: -1.1493918704746606
fun: nan
message: 'NaN result encountered.'
nfev: 1102
nit: 3
status: 3
success: False
x: array([-1.17282922e+306, -1.18404865e+304, -inf])
xopt: array([0., 0., 0.])
zopt: array([0., 0., 0.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.09468128e-08, 6.43875296e-11, -1.28775059e-10]])
fopt: 1.0406583942272931
fun: -1.0442888206116399
message: 'Optimization terminated successfully.'
nfev: 324
nit: 3
status: 0
success: True
x: array([171.01448728, 2. , -0.991937 ])
xopt: array([171., 2., 0.])
zopt: array([171., 173., 173.])
*******************************************
Period: 11
direc: array([[ 1.16641894e-02, 5.24413137e-07, 6.79870503e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.9672883156605595
fun: -0.9645773503097527
message: 'Optimization terminated successfully.'
nfev: 418
nit: 4
status: 0
success: True
x: array([172.72615698, 1.00341874, 15.82857808])
xopt: array([172., 1., 15.])
zopt: array([172., 173., 188.])
*******************************************
Period: 12
direc: array([[3.40368107e-02, 0.00000000e+00, 3.97385758e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.97753409e-01, 1.35809219e-01, 3.32137158e+01]])
fopt: 0.9061828730380586
fun: -0.9038483740384491
message: 'Optimization terminated successfully.'
nfev: 343
nit: 4
status: 0
success: True
x: array([171.98266455, 1.0002486 , 37.97615414])
xopt: array([171., 2., 37.])
zopt: array([171., 173., 210.])
*******************************************
Period: 13
direc: array([[1.66267101e-04, 9.77903777e-07, 1.99069207e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.35789324e-03, 7.98648032e-06, 4.59899231e+01]])
fopt: 0.8763910745573822
fun: -0.878409884394378
message: 'Optimization terminated successfully.'
nfev: 330
nit: 4
status: 0
success: True
x: array([171.02514215, 2.02650462, 51.08410818])
xopt: array([171., 2., 51.])
zopt: array([171., 173., 224.])
*******************************************
Period: 14
direc: array([[3.96897104e-04, 2.32923135e-06, 4.87605013e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.17546114e-02, 6.89752080e-05, 6.81566879e+01]])
fopt: 0.8929103748249105
fun: -0.8928610243999154
message: 'Optimization terminated successfully.'
nfev: 481
nit: 4
status: 0
success: True
x: array([171.40475213, 2.00003775, 73.55240229])
xopt: array([171., 2., 73.])
zopt: array([171., 173., 246.])
*******************************************
Period: 15
direc: array([[5.27597486e-02, 3.09576405e-04, 6.84608914e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.59808480e+00, 1.69737229e+00, 6.76828106e+01]])
fopt: 0.8373640806054645
fun: -0.8381843409855647
message: 'Optimization terminated successfully.'
nfev: 361
nit: 4
status: 0
success: True
x: array([169.43685755, 4.00987827, 73.08003636])
xopt: array([169., 4., 73.])
zopt: array([169., 173., 246.])
*******************************************
Period: 16
direc: array([[4.70657155e-05, 2.75622634e-07, 8.32344629e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.39341518e-03, 1.40156259e-05, 1.08899363e+02]])
fopt: 0.825674801586612
fun: -0.8255204657372237
message: 'Optimization terminated successfully.'
nfev: 549
nit: 5
status: 0
success: True
x: array([171.7614448 , 2.00016096, 115.00352968])
xopt: array([171., 2., 115.])
zopt: array([171., 173., 288.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 127.97569777]])
fopt: 0.7697985934053202
fun: -0.7686931781935786
message: 'Optimization terminated successfully.'
nfev: 388
nit: 5
status: 0
success: True
x: array([172.84773452, 1.05866046, 135.0135338 ])
xopt: array([172., 1., 136.])
zopt: array([172., 173., 309.])
*******************************************
Period: 18
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-5.17884283e+01, -2.32249933e-01, -4.77236291e-01],
[ 3.77601739e-02, -9.68511423e-02, -3.35012660e-03]])
fopt: 0.5117107845365214
fun: -0.5115592725046224
message: 'Optimization terminated successfully.'
nfev: 483
nit: 5
status: 0
success: True
x: array([172.51821315, 134.00813522, 7.00229192])
xopt: array([172., 134., 7.])
zopt: array([172., 306., 313.])
*******************************************
Period: 19
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.89944748e-09, -0.00000000e+00, -4.78580280e-16]])
fopt: 0.1639729140044631
fun: -0.16349176921015818
message: 'Optimization terminated successfully.'
nfev: 609
nit: 6
status: 0
success: True
x: array([279.77896985, 2.00668929, 4.00000011])
xopt: array([279., 2., 4.])
zopt: array([279., 281., 285.])
*******************************************
Period: 20
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.69409903e-06, 4.88158948e-05, -1.36127278e-11]])
fopt: 0.09992954332496579
fun: -0.09916765344190583
message: 'Optimization terminated successfully.'
nfev: 502
nit: 5
status: 0
success: True
x: array([280.99998257, 2.0328179 , 2.00541259])
xopt: array([280., 2., 3.])
zopt: array([280., 282., 285.])
*******************************************
Period: 21
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.68166514e-02, 2.74421264e-04, 2.74421264e-04]])
fopt: 0.07681588126592968
fun: -0.07624171576092889
message: 'Optimization terminated successfully.'
nfev: 639
nit: 5
status: 0
success: True
x: array([280.99918952, 2.00027442, 2.00190837])
xopt: array([280., 2., 3.])
zopt: array([280., 282., 285.])
*******************************************
Period: 22
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.46091486e-06, -5.42907111e-09, 5.16575262e-09],
[ 8.56250015e-08, -3.98697267e-02, 3.01075409e-10]])
fopt: 0.06413519006724176
fun: -0.06391597938837926
message: 'Optimization terminated successfully.'
nfev: 466
nit: 4
status: 0
success: True
x: array([283.80774762, -0.34923723, 2. ])
xopt: array([283., 0., 2.])
zopt: array([283., 283., 285.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, -1.21331372e-06, 5.76699217e-07],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 7.49164064e-11, -3.70312481e-02]])
fopt: 0.4093469187498281
fun: -0.4066494584299974
message: 'Optimization terminated successfully.'
nfev: 879
nit: 11
status: 0
success: True
x: array([ 2.81918117e+02, -1.03894692e-01, 1.14001295e+02])
xopt: array([281., 0., 115.])
zopt: array([281., 281., 396.])
*******************************************
Period: 24
direc: array([[-1.36540892e+02, -1.16119490e-09, 1.16119480e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.30986991e+01, -2.88029490e-02, 4.55145153e+01]])
fopt: 0.808955202776154
fun: -0.8073506821447218
message: 'Optimization terminated successfully.'
nfev: 1023
nit: 13
status: 0
success: True
x: array([124.06014362, 69.41630424, 234.98224444])
xopt: array([124., 69., 234.])
zopt: array([124., 193., 427.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-97.76901876, 0. , 260.59529411]])
fopt: 0.7027401717328614
fun: -0.702477655116395
message: 'Optimization terminated successfully.'
nfev: 559
nit: 6
status: 0
success: True
x: array([210.10054594, 2.00002525, 209.02299974])
xopt: array([210., 2., 209.])
zopt: array([210., 212., 421.])
*******************************************
Period: 26
direc: array([[-1.53984005e+02, 0.00000000e+00, 1.65083301e+02],
[-1.11659080e-01, 9.03147291e-02, 2.83113502e-01],
[-1.69588506e-07, 7.41705708e-08, 1.81743637e-07]])
fopt: 0.6927404581551173
fun: -0.6873231593775792
message: 'Optimization terminated successfully.'
nfev: 590
nit: 8
status: 0
success: True
x: array([146.84747556, 20.00028342, 201.04902138])
xopt: array([147., 21., 202.])
zopt: array([147., 168., 370.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 0. ],
[ 0. , -57.54592052, 45.20501017],
[ 0. , 0.5997223 , 7.06310309]])
fopt: 0.24992809686573705
fun: -0.6103909831978112
message: 'Optimization terminated successfully.'
nfev: 824
nit: 11
status: 0
success: True
x: array([281.88776651, -70.46479883, 209. ])
xopt: array([281., 0., 209.])
zopt: array([281., 281., 490.])
*******************************************
Period: 28
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.28171207e+00, 0.00000000e+00, 2.00000003e+00],
[-3.09532128e-10, -2.71283779e-10, 7.63271462e-14]])
fopt: 0.7129604620430499
fun: -0.7149784722601755
message: 'Optimization terminated successfully.'
nfev: 546
nit: 7
status: 0
success: True
x: array([192.27776049, 3.00301621, 222.05691196])
xopt: array([192., 3., 222.])
zopt: array([192., 195., 417.])
*******************************************
Period: 29
direc: array([[-2.97185763e+00, 1.60589004e-09, 1.93847768e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.08993740e-06, 1.00103417e+01, -7.10942261e-07]])
fopt: 0.7249103657327167
fun: -0.7236770572059826
message: 'Optimization terminated successfully.'
nfev: 918
nit: 11
status: 0
success: True
x: array([173.66237435, 21.00000105, 220.00000185])
xopt: array([173., 22., 220.])
zopt: array([173., 195., 415.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2h19pbmn.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgb5j_m8t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [5e-02, 5e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.632698
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.54947 0.632698
Optimal solution found (tolerance 1.00e-02)
Best objective 1.549465605953e+00, best bound 1.549465605953e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcse2572h.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqnlx60mk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.380812
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.109040e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.1090401 2.10904 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.10904 0.380812
Optimal solution found (tolerance 1.00e-02)
Best objective 2.109040095105e+00, best bound 2.109040095105e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6rvivmlq.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9qj3shoq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21164
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 1.790343e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79034 0 3 1.21164 1.79034 47.8% - 0s
H 0 0 1.6216165 1.79034 10.4% - 0s
0 0 cutoff 0 1.62162 1.62162 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62162 1.21164
Optimal solution found (tolerance 1.00e-02)
Best objective 1.621616546600e+00, best bound 1.621616546600e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoaq7fq10.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo2npwbst.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04598
Presolve removed 130 rows and 91 columns
Presolve time: 0.01s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.962002e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96200 0 8 1.04598 1.96200 87.6% - 0s
H 0 0 1.7063530 1.96200 15.0% - 0s
0 0 1.74685 0 1 1.70635 1.74685 2.37% - 0s
0 0 cutoff 0 1.70635 1.70635 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (44 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.70635 1.04598
Optimal solution found (tolerance 1.00e-02)
Best objective 1.706352971991e+00, best bound 1.706352971991e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv2ex4w2u.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbg4xmirz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20758
Presolve removed 145 rows and 100 columns
Presolve time: 0.01s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 2.035508e+00, 51 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03551 0 3 1.20758 2.03551 68.6% - 0s
H 0 0 1.7034533 2.03551 19.5% - 0s
0 0 1.75920 0 1 1.70345 1.75920 3.27% - 0s
0 0 1.75920 0 2 1.70345 1.75920 3.27% - 0s
0 0 1.73806 0 4 1.70345 1.73806 2.03% - 0s
0 0 1.73636 0 4 1.70345 1.73636 1.93% - 0s
0 0 1.73364 0 4 1.70345 1.73364 1.77% - 0s
0 0 1.73364 0 1 1.70345 1.73364 1.77% - 0s
0 0 cutoff 0 1.70345 1.70345 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow cover: 1
Explored 1 nodes (90 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.70345 1.20758
Optimal solution found (tolerance 1.00e-02)
Best objective 1.703453321925e+00, best bound 1.703453321925e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppb2imjk8.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp95n_av0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2589
Presolve removed 136 rows and 91 columns
Presolve time: 0.01s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.389597e+00, 98 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.38960 0 8 1.25890 2.38960 89.8% - 0s
0 0 1.96850 0 6 1.25890 1.96850 56.4% - 0s
0 0 1.96400 0 6 1.25890 1.96400 56.0% - 0s
0 0 1.96222 0 9 1.25890 1.96222 55.9% - 0s
0 0 1.95372 0 9 1.25890 1.95372 55.2% - 0s
0 0 1.91799 0 9 1.25890 1.91799 52.4% - 0s
0 0 1.91788 0 9 1.25890 1.91788 52.3% - 0s
0 0 1.85928 0 9 1.25890 1.85928 47.7% - 0s
0 0 1.85746 0 8 1.25890 1.85746 47.5% - 0s
0 0 1.83767 0 9 1.25890 1.83767 46.0% - 0s
0 0 1.83715 0 9 1.25890 1.83715 45.9% - 0s
0 0 1.79536 0 9 1.25890 1.79536 42.6% - 0s
H 0 0 1.6753555 1.79536 7.16% - 0s
0 2 1.79536 0 9 1.67536 1.79536 7.16% - 0s
H 4 4 1.6979093 1.73652 2.27% 4.8 0s
Cutting planes:
Gomory: 4
Cover: 2
Implied bound: 3
MIR: 2
Flow cover: 9
Explored 9 nodes (232 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.69791 1.67536 1.2589
Optimal solution found (tolerance 1.00e-02)
Best objective 1.697909309008e+00, best bound 1.707006459188e+00, gap 0.5358%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph74pz0n7.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyr1e5e5i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35284
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.389536e+00, 122 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.38954 0 12 1.35284 2.38954 76.6% - 0s
0 0 2.16549 0 21 1.35284 2.16549 60.1% - 0s
0 0 2.16544 0 21 1.35284 2.16544 60.1% - 0s
0 0 1.89568 0 14 1.35284 1.89568 40.1% - 0s
0 0 1.89353 0 14 1.35284 1.89353 40.0% - 0s
0 0 1.89304 0 14 1.35284 1.89304 39.9% - 0s
0 0 1.86518 0 11 1.35284 1.86518 37.9% - 0s
0 0 1.86453 0 11 1.35284 1.86453 37.8% - 0s
0 0 1.86444 0 12 1.35284 1.86444 37.8% - 0s
0 0 1.85987 0 13 1.35284 1.85987 37.5% - 0s
0 0 1.85987 0 13 1.35284 1.85987 37.5% - 0s
0 0 1.85987 0 13 1.35284 1.85987 37.5% - 0s
H 0 0 1.5305654 1.85987 21.5% - 0s
0 2 1.85987 0 13 1.53057 1.85987 21.5% - 0s
H 10 7 1.6739667 1.76416 5.39% 5.4 0s
Cutting planes:
Gomory: 3
Implied bound: 6
MIR: 3
Flow cover: 14
Explored 26 nodes (367 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.67397 1.53057 1.35284
Optimal solution found (tolerance 1.00e-02)
Best objective 1.673966665300e+00, best bound 1.673966665300e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe3yetu_2.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8mlz5myv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35278
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.378901e+00, 132 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.37890 0 12 1.35278 2.37890 75.9% - 0s
0 0 2.10798 0 21 1.35278 2.10798 55.8% - 0s
0 0 2.10435 0 21 1.35278 2.10435 55.6% - 0s
0 0 2.10316 0 23 1.35278 2.10316 55.5% - 0s
0 0 2.09799 0 23 1.35278 2.09799 55.1% - 0s
0 0 2.09733 0 23 1.35278 2.09733 55.0% - 0s
0 0 1.88880 0 12 1.35278 1.88880 39.6% - 0s
0 0 1.88451 0 15 1.35278 1.88451 39.3% - 0s
0 0 1.88451 0 15 1.35278 1.88451 39.3% - 0s
0 0 1.85667 0 15 1.35278 1.85667 37.2% - 0s
0 0 1.85667 0 13 1.35278 1.85667 37.2% - 0s
H 0 0 1.6633300 1.85667 11.6% - 0s
0 2 1.85667 0 13 1.66333 1.85667 11.6% - 0s
* 35 0 12 1.6676495 1.66765 0.00% 5.1 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 7
Clique: 1
MIR: 1
Flow cover: 16
Explored 36 nodes (475 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.66765 1.66333 1.35278
Optimal solution found (tolerance 1.00e-02)
Best objective 1.667649484021e+00, best bound 1.667649484021e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuid8rpmw.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpns478299.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41433
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.235630e+00, 162 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23563 0 14 1.41433 2.23563 58.1% - 0s
0 0 1.93375 0 27 1.41433 1.93375 36.7% - 0s
0 0 1.93047 0 27 1.41433 1.93047 36.5% - 0s
0 0 1.92953 0 30 1.41433 1.92953 36.4% - 0s
0 0 1.92473 0 29 1.41433 1.92473 36.1% - 0s
0 0 1.92405 0 29 1.41433 1.92405 36.0% - 0s
0 0 1.75377 0 12 1.41433 1.75377 24.0% - 0s
0 0 1.75063 0 14 1.41433 1.75063 23.8% - 0s
0 0 1.75000 0 14 1.41433 1.75000 23.7% - 0s
0 0 1.72449 0 14 1.41433 1.72449 21.9% - 0s
0 0 1.72449 0 17 1.41433 1.72449 21.9% - 0s
0 0 1.72446 0 18 1.41433 1.72446 21.9% - 0s
0 0 1.72446 0 18 1.41433 1.72446 21.9% - 0s
H 0 0 1.5382673 1.72446 12.1% - 0s
0 2 1.72446 0 17 1.53827 1.72446 12.1% - 0s
H 28 8 1.5384712 1.61072 4.70% 5.9 0s
* 49 5 15 1.5478145 1.61004 4.02% 4.9 0s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 8
MIR: 5
Flow cover: 28
Explored 57 nodes (606 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.54781 1.53847 1.53827 1.41433
Optimal solution found (tolerance 1.00e-02)
Best objective 1.547814524790e+00, best bound 1.547814524790e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4ozf2yly.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5upz8z08.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37813
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.007279e+00, 201 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.00728 0 21 1.37813 2.00728 45.7% - 0s
0 0 1.72744 0 28 1.37813 1.72744 25.3% - 0s
0 0 1.72521 0 28 1.37813 1.72521 25.2% - 0s
0 0 1.72428 0 31 1.37813 1.72428 25.1% - 0s
0 0 1.72030 0 30 1.37813 1.72030 24.8% - 0s
0 0 1.72009 0 30 1.37813 1.72009 24.8% - 0s
0 0 1.72009 0 31 1.37813 1.72009 24.8% - 0s
0 0 1.56602 0 22 1.37813 1.56602 13.6% - 0s
0 0 1.56254 0 21 1.37813 1.56254 13.4% - 0s
0 0 1.56254 0 21 1.37813 1.56254 13.4% - 0s
0 0 1.54248 0 21 1.37813 1.54248 11.9% - 0s
0 0 1.54248 0 21 1.37813 1.54248 11.9% - 0s
0 0 1.53824 0 19 1.37813 1.53824 11.6% - 0s
0 0 1.53471 0 20 1.37813 1.53471 11.4% - 0s
0 0 1.53038 0 22 1.37813 1.53038 11.0% - 0s
0 0 1.53002 0 20 1.37813 1.53002 11.0% - 0s
0 0 1.52832 0 20 1.37813 1.52832 10.9% - 0s
0 0 1.52832 0 20 1.37813 1.52832 10.9% - 0s
0 2 1.52832 0 15 1.37813 1.52832 10.9% - 0s
* 39 4 12 1.3781335 1.41042 2.34% 3.7 0s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 10
Clique: 1
MIR: 3
Flow cover: 21
Explored 45 nodes (618 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.37813 1.37813
Optimal solution found (tolerance 1.00e-02)
Best objective 1.378133521975e+00, best bound 1.378133521975e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0e2w62ur.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqrs1p6ho.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19516
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.096008e+00, 214 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09601 0 18 1.19516 2.09601 75.4% - 0s
0 0 1.76425 0 29 1.19516 1.76425 47.6% - 0s
0 0 1.76223 0 29 1.19516 1.76223 47.4% - 0s
0 0 1.76141 0 31 1.19516 1.76141 47.4% - 0s
0 0 1.75776 0 30 1.19516 1.75776 47.1% - 0s
0 0 1.75765 0 31 1.19516 1.75765 47.1% - 0s
0 0 1.71158 0 31 1.19516 1.71158 43.2% - 0s
0 0 1.67383 0 28 1.19516 1.67383 40.1% - 0s
0 0 1.67383 0 29 1.19516 1.67383 40.1% - 0s
0 0 1.65564 0 30 1.19516 1.65564 38.5% - 0s
0 0 1.65564 0 30 1.19516 1.65564 38.5% - 0s
0 0 1.65198 0 30 1.19516 1.65198 38.2% - 0s
0 0 1.65198 0 30 1.19516 1.65198 38.2% - 0s
0 0 1.65040 0 30 1.19516 1.65040 38.1% - 0s
0 0 1.65040 0 23 1.19516 1.65040 38.1% - 0s
0 2 1.65040 0 23 1.19516 1.65040 38.1% - 0s
* 106 24 21 1.2770575 1.50618 17.9% 5.6 0s
* 118 17 20 1.2775141 1.49318 16.9% 5.7 0s
* 153 12 21 1.2782551 1.47378 15.3% 5.5 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 9
Clique: 1
MIR: 9
Flow cover: 22
Explored 184 nodes (1417 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.27826 1.27751 1.27706 1.19516
Optimal solution found (tolerance 1.00e-02)
Best objective 1.278255075934e+00, best bound 1.278255075934e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptt_e9gxi.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn_8vr8nj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14725
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 1.947299e+00, 237 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94730 0 21 1.14725 1.94730 69.7% - 0s
0 0 1.60830 0 32 1.14725 1.60830 40.2% - 0s
0 0 1.60644 0 32 1.14725 1.60644 40.0% - 0s
0 0 1.60571 0 34 1.14725 1.60571 40.0% - 0s
0 0 1.60235 0 33 1.14725 1.60235 39.7% - 0s
0 0 1.60227 0 34 1.14725 1.60227 39.7% - 0s
0 0 1.56813 0 32 1.14725 1.56813 36.7% - 0s
0 0 1.56595 0 34 1.14725 1.56595 36.5% - 0s
0 0 1.56547 0 33 1.14725 1.56547 36.5% - 0s
0 0 1.56547 0 32 1.14725 1.56547 36.5% - 0s
0 0 1.54549 0 36 1.14725 1.54549 34.7% - 0s
0 0 1.54374 0 39 1.14725 1.54374 34.6% - 0s
0 0 1.54374 0 39 1.14725 1.54374 34.6% - 0s
0 2 1.54374 0 32 1.14725 1.54374 34.6% - 0s
* 69 35 24 1.1932143 1.40335 17.6% 6.8 0s
* 127 37 23 1.1933369 1.37333 15.1% 6.2 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 14
Clique: 1
MIR: 16
Flow cover: 27
Inf proof: 1
Explored 246 nodes (1903 simplex iterations) in 0.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.19334 1.19321 1.14725
Optimal solution found (tolerance 1.00e-02)
Best objective 1.193336851578e+00, best bound 1.193336851578e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpftruxha_.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphyo_mb1l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07194
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 1.952072e+00, 289 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95207 0 24 1.07194 1.95207 82.1% - 0s
0 0 1.59698 0 29 1.07194 1.59698 49.0% - 0s
0 0 1.59526 0 29 1.07194 1.59526 48.8% - 0s
0 0 1.59481 0 34 1.07194 1.59481 48.8% - 0s
0 0 1.59166 0 34 1.07194 1.59166 48.5% - 0s
0 0 1.56683 0 38 1.07194 1.56683 46.2% - 0s
0 0 1.56117 0 39 1.07194 1.56117 45.6% - 0s
0 0 1.54219 0 37 1.07194 1.54219 43.9% - 0s
0 0 1.54203 0 38 1.07194 1.54203 43.9% - 0s
0 0 1.53997 0 39 1.07194 1.53997 43.7% - 0s
0 0 1.53997 0 39 1.07194 1.53997 43.7% - 0s
0 2 1.53997 0 28 1.07194 1.53997 43.7% - 0s
* 79 52 28 1.1328207 1.46476 29.3% 7.0 0s
* 204 85 36 1.1492899 1.38345 20.4% 6.1 0s
* 478 84 33 1.1608008 1.31789 13.5% 5.7 0s
Cutting planes:
Gomory: 15
Cover: 3
Implied bound: 19
Clique: 2
MIR: 8
Flow cover: 31
Inf proof: 4
Explored 663 nodes (4334 simplex iterations) in 0.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.1608 1.14929 1.13282 1.07194
Optimal solution found (tolerance 1.00e-02)
Best objective 1.160800848650e+00, best bound 1.160800848650e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3_y8ug2n.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplxjjw70p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02261
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.073732e+00, 302 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07373 0 29 1.02261 2.07373 103% - 0s
0 0 1.71917 0 39 1.02261 1.71917 68.1% - 0s
0 0 1.71720 0 38 1.02261 1.71720 67.9% - 0s
0 0 1.71570 0 40 1.02261 1.71570 67.8% - 0s
0 0 1.66258 0 40 1.02261 1.66258 62.6% - 0s
0 0 1.66244 0 40 1.02261 1.66244 62.6% - 0s
0 0 1.65322 0 43 1.02261 1.65322 61.7% - 0s
0 0 1.65272 0 44 1.02261 1.65272 61.6% - 0s
0 0 1.65272 0 27 1.02261 1.65272 61.6% - 0s
0 2 1.65272 0 27 1.02261 1.65272 61.6% - 0s
* 634 171 37 1.1582276 1.52193 31.4% 5.5 0s
* 880 148 35 1.1714254 1.43290 22.3% 5.4 0s
* 881 146 35 1.1765735 1.43290 21.8% 5.4 0s
* 1010 116 33 1.1886306 1.40869 18.5% 5.2 0s
Cutting planes:
Gomory: 12
Cover: 5
Implied bound: 21
Clique: 1
MIR: 4
Flow cover: 22
Inf proof: 9
Explored 1335 nodes (7444 simplex iterations) in 0.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.18863 1.17657 1.17143 ... 1.02261
Optimal solution found (tolerance 1.00e-02)
Best objective 1.188630592610e+00, best bound 1.188630592610e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph_wijwd8.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbb38bd2e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-05, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1091
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.935442e+00, 345 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93544 0 30 1.10910 1.93544 74.5% - 0s
0 0 1.60803 0 37 1.10910 1.60803 45.0% - 0s
0 0 1.60622 0 36 1.10910 1.60622 44.8% - 0s
0 0 1.60603 0 38 1.10910 1.60603 44.8% - 0s
0 0 1.60345 0 38 1.10910 1.60345 44.6% - 0s
0 0 1.58708 0 41 1.10910 1.58708 43.1% - 0s
0 0 1.58100 0 41 1.10910 1.58100 42.5% - 0s
0 0 1.58083 0 41 1.10910 1.58083 42.5% - 0s
0 0 1.56547 0 42 1.10910 1.56547 41.1% - 0s
0 0 1.56485 0 37 1.10910 1.56485 41.1% - 0s
0 0 1.56296 0 40 1.10910 1.56296 40.9% - 0s
0 0 1.56296 0 44 1.10910 1.56296 40.9% - 0s
0 0 1.56233 0 44 1.10910 1.56233 40.9% - 0s
0 0 1.56232 0 44 1.10910 1.56232 40.9% - 0s
0 0 1.55987 0 48 1.10910 1.55987 40.6% - 0s
0 0 1.55919 0 47 1.10910 1.55919 40.6% - 0s
0 0 1.55917 0 49 1.10910 1.55917 40.6% - 0s
0 0 1.55826 0 49 1.10910 1.55826 40.5% - 0s
0 0 1.55826 0 49 1.10910 1.55826 40.5% - 0s
0 2 1.55826 0 49 1.10910 1.55826 40.5% - 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 13
Clique: 1
MIR: 14
Flow cover: 36
Flow path: 1
Inf proof: 20
Explored 971 nodes (6688 simplex iterations) in 0.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.1091
Optimal solution found (tolerance 1.00e-02)
Best objective 1.109096936138e+00, best bound 1.109096936138e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_stqx3yt.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp116s79p7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-05, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01483
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.977327e+00, 339 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97733 0 32 1.01483 1.97733 94.8% - 0s
0 0 1.73613 0 43 1.01483 1.73613 71.1% - 0s
0 0 1.73474 0 43 1.01483 1.73474 70.9% - 0s
0 0 1.65503 0 48 1.01483 1.65503 63.1% - 0s
0 0 1.64707 0 49 1.01483 1.64707 62.3% - 0s
0 0 1.64698 0 43 1.01483 1.64698 62.3% - 0s
0 0 1.64421 0 48 1.01483 1.64421 62.0% - 0s
0 0 1.62890 0 44 1.01483 1.62890 60.5% - 0s
0 0 1.62854 0 47 1.01483 1.62854 60.5% - 0s
0 0 1.62852 0 46 1.01483 1.62852 60.5% - 0s
0 0 1.62660 0 48 1.01483 1.62660 60.3% - 0s
0 0 1.62656 0 50 1.01483 1.62656 60.3% - 0s
0 0 1.62640 0 52 1.01483 1.62640 60.3% - 0s
0 0 1.62640 0 52 1.01483 1.62640 60.3% - 0s
0 2 1.62640 0 40 1.01483 1.62640 60.3% - 0s
* 193 91 40 1.0148320 1.54130 51.9% 7.9 0s
* 800 180 38 1.1131834 1.42238 27.8% 6.7 0s
* 1055 236 31 1.1139213 1.39496 25.2% 6.4 0s
* 1226 215 29 1.1163133 1.36152 22.0% 6.5 0s
* 1397 164 34 1.1263314 1.28491 14.1% 6.5 0s
* 1616 122 36 1.1313678 1.22084 7.91% 6.5 0s
Cutting planes:
Gomory: 16
Cover: 11
Implied bound: 37
MIR: 10
Flow cover: 41
Flow path: 1
Inf proof: 16
Explored 1782 nodes (12464 simplex iterations) in 1.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.13137 1.12633 1.11631 ... 1.01483
Optimal solution found (tolerance 1.00e-02)
Best objective 1.131367837209e+00, best bound 1.131367837209e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsprpds5f.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwb5i4brd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-05, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05187
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.870595e+00, 418 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87059 0 33 1.05187 1.87059 77.8% - 0s
0 0 1.58653 0 43 1.05187 1.58653 50.8% - 0s
0 0 1.58594 0 49 1.05187 1.58594 50.8% - 0s
0 0 1.58350 0 43 1.05187 1.58350 50.5% - 0s
0 0 1.58348 0 43 1.05187 1.58348 50.5% - 0s
0 0 1.57584 0 55 1.05187 1.57584 49.8% - 0s
0 0 1.56273 0 52 1.05187 1.56273 48.6% - 0s
0 0 1.56173 0 55 1.05187 1.56173 48.5% - 0s
0 0 1.56170 0 55 1.05187 1.56170 48.5% - 0s
0 0 1.54999 0 51 1.05187 1.54999 47.4% - 0s
0 0 1.54921 0 51 1.05187 1.54921 47.3% - 0s
0 0 1.54857 0 50 1.05187 1.54857 47.2% - 0s
0 0 1.54857 0 39 1.05187 1.54857 47.2% - 0s
0 2 1.54857 0 39 1.05187 1.54857 47.2% - 0s
* 292 120 48 1.0539829 1.42509 35.2% 7.8 0s
* 1895 46 43 1.0606980 1.11816 5.42% 6.0 0s
Cutting planes:
Gomory: 9
Cover: 6
Implied bound: 24
MIR: 14
Flow cover: 31
Inf proof: 36
Explored 1979 nodes (12689 simplex iterations) in 0.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.0607 1.05398 1.05187
Optimal solution found (tolerance 1.00e-02)
Best objective 1.060698019576e+00, best bound 1.064920966413e+00, gap 0.3981%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppdz9cx8x.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb62go0aw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-05, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.951766
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.935548e+00, 399 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93555 0 38 0.95177 1.93555 103% - 0s
0 0 1.66710 0 53 0.95177 1.66710 75.2% - 0s
0 0 1.66527 0 53 0.95177 1.66527 75.0% - 0s
0 0 1.66527 0 53 0.95177 1.66527 75.0% - 0s
0 0 1.64299 0 58 0.95177 1.64299 72.6% - 0s
0 0 1.63180 0 56 0.95177 1.63180 71.4% - 0s
0 0 1.62992 0 55 0.95177 1.62992 71.3% - 0s
0 0 1.62981 0 58 0.95177 1.62981 71.2% - 0s
0 0 1.62832 0 64 0.95177 1.62832 71.1% - 0s
0 0 1.62786 0 63 0.95177 1.62786 71.0% - 0s
0 0 1.62786 0 63 0.95177 1.62786 71.0% - 0s
0 0 1.62720 0 67 0.95177 1.62720 71.0% - 0s
0 0 1.62720 0 67 0.95177 1.62720 71.0% - 0s
0 2 1.62720 0 52 0.95177 1.62720 71.0% - 0s
* 428 241 52 0.9897209 1.49841 51.4% 8.3 0s
* 1000 437 45 1.0011044 1.43810 43.7% 8.0 0s
* 2323 451 43 1.0173427 1.24480 22.4% 7.5 1s
* 2776 300 34 1.0228715 1.18044 15.4% 7.1 1s
* 3154 113 37 1.0272578 1.09347 6.45% 6.9 1s
Cutting planes:
Gomory: 13
Cover: 26
Implied bound: 56
Clique: 1
MIR: 16
Flow cover: 49
Flow path: 2
Inf proof: 49
Explored 3299 nodes (23372 simplex iterations) in 1.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.02726 1.02287 1.01734 ... 0.951766
Optimal solution found (tolerance 1.00e-02)
Best objective 1.027257758458e+00, best bound 1.027257758458e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwqod4oaq.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvyj_9292.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.941192
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.884236e+00, 496 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88424 0 43 0.94119 1.88424 100% - 0s
0 0 1.61302 0 52 0.94119 1.61302 71.4% - 0s
0 0 1.61185 0 52 0.94119 1.61185 71.3% - 0s
0 0 1.61158 0 56 0.94119 1.61158 71.2% - 0s
0 0 1.60945 0 56 0.94119 1.60945 71.0% - 0s
0 0 1.58982 0 58 0.94119 1.58982 68.9% - 0s
0 0 1.57788 0 56 0.94119 1.57788 67.6% - 0s
0 0 1.57654 0 58 0.94119 1.57654 67.5% - 0s
0 0 1.57654 0 58 0.94119 1.57654 67.5% - 0s
0 0 1.56714 0 68 0.94119 1.56714 66.5% - 0s
0 0 1.56655 0 70 0.94119 1.56655 66.4% - 0s
0 0 1.56654 0 70 0.94119 1.56654 66.4% - 0s
0 0 1.56516 0 70 0.94119 1.56516 66.3% - 0s
0 0 1.56511 0 70 0.94119 1.56511 66.3% - 0s
0 0 1.56458 0 65 0.94119 1.56458 66.2% - 0s
0 0 1.56458 0 64 0.94119 1.56458 66.2% - 0s
0 2 1.56458 0 57 0.94119 1.56458 66.2% - 0s
* 1980 514 50 0.9643481 1.28047 32.8% 7.5 1s
* 2308 575 44 0.9650341 1.24390 28.9% 7.2 1s
* 2312 575 46 0.9653554 1.24390 28.9% 7.2 1s
* 2958 601 47 0.9792023 1.21773 24.4% 7.8 2s
* 3208 475 37 0.9829956 1.17284 19.3% 7.9 2s
* 3272 438 40 0.9829956 1.16833 18.9% 7.9 2s
* 3436 269 38 0.9923888 1.12626 13.5% 8.0 2s
Cutting planes:
Learned: 2
Gomory: 26
Cover: 10
Implied bound: 18
Projected implied bound: 16
Clique: 4
MIR: 8
Flow cover: 34
Inf proof: 11
Explored 3639 nodes (29850 simplex iterations) in 2.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.992389 0.982996 0.982996 ... 0.941192
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (3.3539e-06) exceeds tolerance
Warning: max bound violation (1.6762e-06) exceeds tolerance
Best objective 9.923888448183e-01, best bound 9.923888448183e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz_weq139.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn1gqktrn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x959_ by 0.999998324
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Found heuristic solution: objective -1.2866072
Root relaxation: objective 1.851430e+00, 521 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85143 0 47 -1.28661 1.85143 244% - 0s
Another try with MIP start
H 0 0 0.9121766 1.85143 103% - 0s
0 0 1.61680 0 64 0.91218 1.61680 77.2% - 0s
0 0 1.61516 0 64 0.91218 1.61516 77.1% - 0s
0 0 1.61516 0 67 0.91218 1.61516 77.1% - 0s
0 0 1.55506 0 64 0.91218 1.55506 70.5% - 0s
0 0 1.54565 0 62 0.91218 1.54565 69.4% - 0s
0 0 1.54446 0 62 0.91218 1.54446 69.3% - 0s
0 0 1.54212 0 64 0.91218 1.54212 69.1% - 0s
0 0 1.54156 0 63 0.91218 1.54156 69.0% - 0s
0 0 1.54156 0 63 0.91218 1.54156 69.0% - 0s
0 0 1.54088 0 70 0.91218 1.54088 68.9% - 0s
0 0 1.54088 0 70 0.91218 1.54088 68.9% - 0s
0 2 1.54088 0 55 0.91218 1.54088 68.9% - 0s
* 249 153 66 0.9154079 1.46560 60.1% 8.4 0s
* 1587 392 62 0.9527080 1.23483 29.6% 8.7 2s
* 2074 366 52 0.9660288 1.18427 22.6% 8.6 2s
* 2128 339 52 0.9680037 1.18314 22.2% 8.5 2s
* 2350 310 49 0.9717915 1.12176 15.4% 8.5 2s
* 2744 225 51 0.9767523 1.07124 9.67% 8.5 2s
* 3090 31 60 0.9782054 1.02299 4.58% 8.6 3s
* 3120 16 67 0.9808991 0.98871 0.80% 8.6 3s
Cutting planes:
Learned: 2
Gomory: 27
Cover: 5
Implied bound: 24
Projected implied bound: 17
MIR: 11
Flow cover: 33
Flow path: 2
Inf proof: 17
Network: 1
Explored 3128 nodes (27770 simplex iterations) in 3.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.980899 0.978205 0.976752 ... -1.28661
Optimal solution found (tolerance 1.00e-02)
Best objective 9.808990633756e-01, best bound 9.887107326230e-01, gap 0.7964%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptr2bhfi6.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0cdcr_4g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923137
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.760583e+00, 620 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76058 0 47 0.92314 1.76058 90.7% - 0s
0 0 1.53023 0 60 0.92314 1.53023 65.8% - 0s
0 0 1.52917 0 59 0.92314 1.52917 65.6% - 0s
0 0 1.52873 0 63 0.92314 1.52873 65.6% - 0s
0 0 1.52683 0 61 0.92314 1.52683 65.4% - 0s
0 0 1.52680 0 62 0.92314 1.52680 65.4% - 0s
0 0 1.47241 0 64 0.92314 1.47241 59.5% - 0s
0 0 1.46399 0 65 0.92314 1.46399 58.6% - 0s
0 0 1.46308 0 64 0.92314 1.46308 58.5% - 0s
0 0 1.46307 0 64 0.92314 1.46307 58.5% - 0s
0 0 1.45372 0 66 0.92314 1.45372 57.5% - 0s
0 0 1.45334 0 68 0.92314 1.45334 57.4% - 0s
0 0 1.45229 0 68 0.92314 1.45229 57.3% - 0s
0 0 1.45229 0 56 0.92314 1.45229 57.3% - 0s
0 2 1.45229 0 56 0.92314 1.45229 57.3% - 0s
* 2999 485 43 0.9231370 1.03791 12.4% 7.6 2s
Cutting planes:
Learned: 1
Gomory: 22
Cover: 6
Implied bound: 10
Projected implied bound: 14
Clique: 7
MIR: 5
Flow cover: 28
Flow path: 2
Inf proof: 8
Explored 3172 nodes (25049 simplex iterations) in 2.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.923137 0.923137
Optimal solution found (tolerance 1.00e-02)
Best objective 9.231370442470e-01, best bound 9.231370442470e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8e4wp7ja.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0whwtwny.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.902156
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.802008e+00, 587 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80201 0 54 0.90216 1.80201 100% - 0s
0 0 1.59948 0 65 0.90216 1.59948 77.3% - 0s
0 0 1.59846 0 63 0.90216 1.59846 77.2% - 0s
0 0 1.59804 0 67 0.90216 1.59804 77.1% - 0s
0 0 1.59623 0 65 0.90216 1.59623 76.9% - 0s
0 0 1.59620 0 66 0.90216 1.59620 76.9% - 0s
0 0 1.53605 0 62 0.90216 1.53605 70.3% - 0s
0 0 1.52693 0 64 0.90216 1.52693 69.3% - 0s
0 0 1.52587 0 65 0.90216 1.52587 69.1% - 0s
0 0 1.52586 0 65 0.90216 1.52586 69.1% - 0s
0 0 1.51164 0 70 0.90216 1.51164 67.6% - 0s
0 0 1.50898 0 73 0.90216 1.50898 67.3% - 0s
0 0 1.50377 0 71 0.90216 1.50377 66.7% - 0s
0 0 1.50377 0 71 0.90216 1.50377 66.7% - 0s
0 0 1.50256 0 83 0.90216 1.50256 66.6% - 0s
0 0 1.50256 0 68 0.90216 1.50256 66.6% - 0s
0 2 1.50256 0 68 0.90216 1.50256 66.6% - 0s
* 1400 441 77 0.9021563 1.25645 39.3% 12.2 2s
* 1755 393 70 0.9032587 1.22593 35.7% 12.6 2s
* 2762 362 52 0.9059233 1.11403 23.0% 13.3 3s
* 3053 279 64 0.9111907 1.08113 18.7% 13.0 4s
Cutting planes:
Learned: 3
Gomory: 50
Cover: 7
Implied bound: 17
Projected implied bound: 12
Clique: 1
MIR: 16
Flow cover: 57
Flow path: 1
Inf proof: 23
Explored 3702 nodes (46336 simplex iterations) in 4.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.911191 0.905923 0.903259 ... 0.902156
Optimal solution found (tolerance 1.00e-02)
Best objective 9.111906708038e-01, best bound 9.116484838445e-01, gap 0.0502%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5xk8e8n7.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfjcgbnf8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.912783
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.767437e+00, 620 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76744 0 58 0.91278 1.76744 93.6% - 0s
0 0 1.71597 0 79 0.91278 1.71597 88.0% - 0s
0 0 1.71527 0 80 0.91278 1.71527 87.9% - 0s
0 0 1.69511 0 76 0.91278 1.69511 85.7% - 0s
0 0 1.69141 0 78 0.91278 1.69141 85.3% - 0s
0 0 1.68260 0 80 0.91278 1.68260 84.3% - 0s
0 0 1.68045 0 81 0.91278 1.68045 84.1% - 0s
0 0 1.67504 0 74 0.91278 1.67504 83.5% - 0s
0 0 1.67504 0 76 0.91278 1.67504 83.5% - 0s
0 0 1.67425 0 82 0.91278 1.67425 83.4% - 0s
0 0 1.67418 0 82 0.91278 1.67418 83.4% - 0s
0 0 1.67346 0 81 0.91278 1.67346 83.3% - 0s
0 0 1.67317 0 81 0.91278 1.67317 83.3% - 0s
0 0 1.67312 0 83 0.91278 1.67312 83.3% - 0s
0 0 1.67311 0 82 0.91278 1.67311 83.3% - 0s
0 0 1.67311 0 83 0.91278 1.67311 83.3% - 0s
0 0 1.67311 0 70 0.91278 1.67311 83.3% - 0s
0 2 1.67311 0 69 0.91278 1.67311 83.3% - 0s
* 3054 430 72 0.9166938 1.15676 26.2% 7.1 2s
* 3233 443 72 0.9178689 1.14296 24.5% 7.0 2s
* 4527 10 63 0.9182588 0.92837 1.10% 6.6 2s
Explored 4581 nodes (31308 simplex iterations) in 2.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.918259 0.917869 0.916694 0.912783
Optimal solution found (tolerance 1.00e-02)
Best objective 9.182588265719e-01, best bound 9.247596230826e-01, gap 0.7079%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpogottos9.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5f_oqgha.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.91019
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.731630e+00, 602 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73163 0 60 0.91019 1.73163 90.2% - 0s
0 0 1.69149 0 69 0.91019 1.69149 85.8% - 0s
0 0 1.69045 0 68 0.91019 1.69045 85.7% - 0s
0 0 1.61133 0 82 0.91019 1.61133 77.0% - 0s
0 0 1.60447 0 76 0.91019 1.60447 76.3% - 0s
0 0 1.59957 0 80 0.91019 1.59957 75.7% - 0s
0 0 1.59461 0 78 0.91019 1.59461 75.2% - 0s
0 0 1.58364 0 80 0.91019 1.58364 74.0% - 0s
0 0 1.58280 0 82 0.91019 1.58280 73.9% - 0s
0 0 1.58277 0 84 0.91019 1.58277 73.9% - 0s
0 0 1.58227 0 83 0.91019 1.58227 73.8% - 0s
0 0 1.58227 0 83 0.91019 1.58227 73.8% - 0s
0 0 1.58227 0 68 0.91019 1.58227 73.8% - 0s
0 2 1.58227 0 68 0.91019 1.58227 73.8% - 0s
* 2380 366 72 0.9127290 1.18295 29.6% 12.3 3s
4432 242 0.93135 50 20 0.91273 1.01398 11.1% 11.4 5s
* 4741 208 65 0.9159757 0.99034 8.12% 11.2 5s
* 5102 0 65 0.9194276 0.93631 1.84% 11.0 5s
Cutting planes:
Learned: 1
Gomory: 35
Cover: 2
Implied bound: 31
Projected implied bound: 24
Clique: 1
MIR: 23
Flow cover: 56
Flow path: 3
Inf proof: 55
Network: 1
Explored 5196 nodes (57892 simplex iterations) in 5.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.919428 0.915976 0.912729 0.91019
Optimal solution found (tolerance 1.00e-02)
Best objective 9.194276362541e-01, best bound 9.217191177683e-01, gap 0.2492%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4nenr25d.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyra36oyg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906023
Presolve removed 390 rows and 245 columns
Presolve time: 0.01s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.679184e+00, 627 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67918 0 63 0.90602 1.67918 85.3% - 0s
0 0 1.63570 0 72 0.90602 1.63570 80.5% - 0s
0 0 1.63414 0 69 0.90602 1.63414 80.4% - 0s
0 0 1.57903 0 90 0.90602 1.57903 74.3% - 0s
0 0 1.57426 0 83 0.90602 1.57426 73.8% - 0s
0 0 1.56464 0 83 0.90602 1.56464 72.7% - 0s
0 0 1.56354 0 86 0.90602 1.56354 72.6% - 0s
0 0 1.54930 0 88 0.90602 1.54930 71.0% - 0s
0 0 1.54930 0 86 0.90602 1.54930 71.0% - 0s
0 0 1.54930 0 88 0.90602 1.54930 71.0% - 0s
0 0 1.54928 0 89 0.90602 1.54928 71.0% - 0s
0 0 1.54928 0 89 0.90602 1.54928 71.0% - 0s
0 0 1.54928 0 74 0.90602 1.54928 71.0% - 0s
0 2 1.54928 0 74 0.90602 1.54928 71.0% - 0s
* 3007 380 70 0.9074452 1.08239 19.3% 10.4 3s
4252 284 infeasible 45 0.90745 1.00498 10.7% 10.3 5s
* 4705 149 69 0.9119951 0.97794 7.23% 10.4 5s
Cutting planes:
Gomory: 33
Cover: 1
Implied bound: 20
Projected implied bound: 37
Clique: 1
MIR: 24
Flow cover: 69
Flow path: 2
Inf proof: 25
Explored 5102 nodes (53811 simplex iterations) in 5.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.911995 0.907445 0.906023
Optimal solution found (tolerance 1.00e-02)
Best objective 9.119951104233e-01, best bound 9.119951104233e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaj1ygguy.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeuuh7awq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.888505
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.613322e+00, 742 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61332 0 66 0.88851 1.61332 81.6% - 0s
0 0 1.58129 0 80 0.88851 1.58129 78.0% - 0s
0 0 1.58043 0 78 0.88851 1.58043 77.9% - 0s
0 0 1.52654 0 89 0.88851 1.52654 71.8% - 0s
0 0 1.52007 0 87 0.88851 1.52007 71.1% - 0s
0 0 1.51633 0 87 0.88851 1.51633 70.7% - 0s
0 0 1.51374 0 86 0.88851 1.51374 70.4% - 0s
0 0 1.50636 0 87 0.88851 1.50636 69.5% - 0s
0 0 1.50636 0 87 0.88851 1.50636 69.5% - 0s
0 0 1.50579 0 88 0.88851 1.50579 69.5% - 0s
0 0 1.50579 0 88 0.88851 1.50579 69.5% - 0s
0 0 1.50478 0 88 0.88851 1.50478 69.4% - 0s
0 0 1.50469 0 93 0.88851 1.50469 69.4% - 0s
0 0 1.50452 0 94 0.88851 1.50452 69.3% - 0s
0 0 1.50449 0 94 0.88851 1.50449 69.3% - 0s
0 0 1.50432 0 95 0.88851 1.50432 69.3% - 0s
0 0 1.50432 0 83 0.88851 1.50432 69.3% - 0s
0 2 1.50432 0 83 0.88851 1.50432 69.3% - 0s
3645 727 0.96317 52 58 0.88851 1.07294 20.8% 12.5 5s
Cutting planes:
Gomory: 47
Cover: 1
Implied bound: 31
Projected implied bound: 34
Clique: 2
MIR: 25
Flow cover: 83
Flow path: 2
Inf proof: 46
Explored 5600 nodes (70819 simplex iterations) in 6.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.888505
Optimal solution found (tolerance 1.00e-02)
Best objective 8.885053227142e-01, best bound 8.900890419364e-01, gap 0.1782%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4gi3bvrl.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpulxz9j58.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878216
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.610757e+00, 747 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61076 0 68 0.87822 1.61076 83.4% - 0s
0 0 1.58273 0 85 0.87822 1.58273 80.2% - 0s
0 0 1.58190 0 83 0.87822 1.58190 80.1% - 0s
0 0 1.52406 0 97 0.87822 1.52406 73.5% - 0s
0 0 1.51811 0 93 0.87822 1.51811 72.9% - 0s
0 0 1.51031 0 98 0.87822 1.51031 72.0% - 0s
0 0 1.50937 0 101 0.87822 1.50937 71.9% - 0s
0 0 1.50055 0 107 0.87822 1.50055 70.9% - 0s
0 0 1.50052 0 103 0.87822 1.50052 70.9% - 0s
0 0 1.50032 0 111 0.87822 1.50032 70.8% - 0s
0 0 1.49997 0 112 0.87822 1.49997 70.8% - 0s
0 0 1.49962 0 105 0.87822 1.49962 70.8% - 0s
0 0 1.49961 0 105 0.87822 1.49961 70.8% - 0s
0 0 1.49939 0 112 0.87822 1.49939 70.7% - 0s
0 0 1.49930 0 110 0.87822 1.49930 70.7% - 0s
0 0 1.49907 0 112 0.87822 1.49907 70.7% - 0s
0 0 1.49907 0 112 0.87822 1.49907 70.7% - 0s
0 2 1.49907 0 92 0.87822 1.49907 70.7% - 0s
4400 732 1.00616 60 31 0.87822 1.07612 22.5% 10.2 5s
Cutting planes:
Gomory: 18
Cover: 2
Implied bound: 24
Projected implied bound: 26
MIR: 13
Flow cover: 59
Flow path: 2
Inf proof: 56
Explored 6949 nodes (72792 simplex iterations) in 7.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.878216
Optimal solution found (tolerance 1.00e-02)
Best objective 8.782155753399e-01, best bound 8.802742570329e-01, gap 0.2344%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_ohi41ws.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqgnnuwka.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.890832
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.584334e+00, 740 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58433 0 69 0.89083 1.58433 77.8% - 0s
0 0 1.55839 0 91 0.89083 1.55839 74.9% - 0s
0 0 1.55759 0 89 0.89083 1.55759 74.8% - 0s
0 0 1.50169 0 94 0.89083 1.50169 68.6% - 0s
0 0 1.49569 0 94 0.89083 1.49569 67.9% - 0s
0 0 1.48783 0 99 0.89083 1.48783 67.0% - 0s
0 0 1.48598 0 102 0.89083 1.48598 66.8% - 0s
0 0 1.47941 0 106 0.89083 1.47941 66.1% - 0s
0 0 1.47886 0 103 0.89083 1.47886 66.0% - 0s
0 0 1.47742 0 106 0.89083 1.47742 65.8% - 0s
0 0 1.47732 0 104 0.89083 1.47732 65.8% - 0s
0 0 1.47683 0 104 0.89083 1.47683 65.8% - 0s
0 0 1.47670 0 105 0.89083 1.47670 65.8% - 0s
0 0 1.47641 0 105 0.89083 1.47641 65.7% - 0s
0 0 1.47641 0 97 0.89083 1.47641 65.7% - 0s
0 2 1.47641 0 92 0.89083 1.47641 65.7% - 0s
3652 775 1.03440 45 41 0.89083 1.13794 27.7% 12.0 5s
Cutting planes:
Gomory: 21
Cover: 4
Implied bound: 19
Projected implied bound: 31
Clique: 1
MIR: 14
Flow cover: 57
Flow path: 5
Inf proof: 70
Explored 8540 nodes (96930 simplex iterations) in 9.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.890832
Optimal solution found (tolerance 1.00e-02)
Best objective 8.908316033364e-01, best bound 8.908316033364e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_wuvbkyv.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzzz0i9_l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.879313
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.537605e+00, 855 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53760 0 70 0.87931 1.53760 74.9% - 0s
0 0 1.50704 0 86 0.87931 1.50704 71.4% - 0s
0 0 1.50474 0 82 0.87931 1.50474 71.1% - 0s
0 0 1.49017 0 108 0.87931 1.49017 69.5% - 0s
0 0 1.48889 0 103 0.87931 1.48889 69.3% - 0s
0 0 1.47967 0 95 0.87931 1.47967 68.3% - 0s
0 0 1.47635 0 101 0.87931 1.47635 67.9% - 0s
0 0 1.47584 0 100 0.87931 1.47584 67.8% - 0s
0 0 1.47584 0 100 0.87931 1.47584 67.8% - 0s
0 0 1.47379 0 101 0.87931 1.47379 67.6% - 0s
0 0 1.47377 0 101 0.87931 1.47377 67.6% - 0s
0 0 1.47307 0 100 0.87931 1.47307 67.5% - 0s
0 0 1.47271 0 104 0.87931 1.47271 67.5% - 0s
0 0 1.47258 0 102 0.87931 1.47258 67.5% - 0s
0 0 1.47258 0 102 0.87931 1.47258 67.5% - 0s
0 0 1.47192 0 104 0.87931 1.47192 67.4% - 0s
0 0 1.47191 0 104 0.87931 1.47191 67.4% - 0s
0 0 1.47185 0 105 0.87931 1.47185 67.4% - 0s
0 0 1.47176 0 105 0.87931 1.47176 67.4% - 0s
0 0 1.47175 0 104 0.87931 1.47175 67.4% - 0s
0 0 1.47175 0 89 0.87931 1.47175 67.4% - 0s
0 2 1.47175 0 89 0.87931 1.47175 67.4% - 0s
2737 829 infeasible 31 0.87931 1.25302 42.5% 13.1 5s
7654 717 0.98431 46 32 0.87931 0.99274 12.9% 12.1 10s
Cutting planes:
Learned: 1
Gomory: 24
Cover: 1
Implied bound: 30
Projected implied bound: 32
MIR: 26
Flow cover: 81
Flow path: 1
Inf proof: 99
Explored 9722 nodes (118649 simplex iterations) in 11.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.879313
Optimal solution found (tolerance 1.00e-02)
Best objective 8.793128976423e-01, best bound 8.806124271070e-01, gap 0.1478%
Run 8
Seed for training 219
Seed for simulation 520
direc: array([[-122.91465965, 22.01062996, 40.91291239],
[ 0. , 1. , 0. ],
[ -26.31011337, 31.07935148, 53.14587369]])
fopt: 0.7248604116066528
fun: -0.7230724211971615
message: 'Optimization terminated successfully.'
nfev: 450
nit: 7
status: 0
success: True
x: array([ 91.09107014, 104. , 184.61134139])
xopt: array([ 92., 104., 185.])
zopt: array([ 92., 196., 381.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdnfxaxta.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6yrcaall.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.72486
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.464148e+00, 714 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46415 0 62 0.72486 1.46415 102% - 0s
0 0 1.40829 0 108 0.72486 1.40829 94.3% - 0s
0 0 1.40150 0 103 0.72486 1.40150 93.3% - 0s
0 0 1.26432 0 101 0.72486 1.26432 74.4% - 0s
0 0 1.26301 0 106 0.72486 1.26301 74.2% - 0s
0 0 1.25615 0 103 0.72486 1.25615 73.3% - 0s
0 0 1.25525 0 106 0.72486 1.25525 73.2% - 0s
0 0 1.25352 0 105 0.72486 1.25352 72.9% - 0s
0 0 1.25317 0 105 0.72486 1.25317 72.9% - 0s
0 0 1.25309 0 105 0.72486 1.25309 72.9% - 0s
0 0 1.25309 0 103 0.72486 1.25309 72.9% - 0s
0 0 1.25309 0 85 0.72486 1.25309 72.9% - 0s
0 2 1.25309 0 85 0.72486 1.25309 72.9% - 0s
* 686 367 113 0.7258547 1.11933 54.2% 10.0 0s
H 2754 819 0.7268831 0.95992 32.1% 15.2 4s
2755 818 infeasible 33 0.72688 0.95992 32.1% 15.2 5s
* 4209 729 75 0.7270574 0.85762 18.0% 13.3 6s
* 4266 750 85 0.7314478 0.85762 17.2% 13.2 6s
H 5855 496 0.7339268 0.78446 6.89% 11.9 7s
Cutting planes:
Gomory: 44
Cover: 7
Implied bound: 21
Projected implied bound: 30
Clique: 4
MIR: 20
Flow cover: 88
Flow path: 2
Inf proof: 45
Network: 1
Explored 7038 nodes (80591 simplex iterations) in 8.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.733927 0.731448 0.727057 ... 0.72486
Optimal solution found (tolerance 0.00e+00)
Best objective 7.339267546321e-01, best bound 7.339267546321e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzfi3sh44.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp__lasa1j.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 395 rows and 295 columns
Presolve time: 0.01s
Presolved: 236 rows, 246 columns, 993 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.9480415e+02 2.942149e+03 0.000000e+00 0s
159 1.7261473e+01 0.000000e+00 0.000000e+00 0s
Solved in 159 iterations and 0.01 seconds
Optimal objective 1.726147255e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.20038265, 0.98728048, 0.98728048]])
fopt: 3.375742060899223
fun: -3.388216904912644
message: 'Optimization terminated successfully.'
nfev: 131
nit: 2
status: 0
success: True
x: array([ 19.06381798, -86.9999955 , -86.9999955 ])
xopt: array([19., 0., 0.])
zopt: array([19., 19., 19.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.0727095 , 0.04171642, 0.16325941]])
fopt: 2.828251153517228
fun: -2.8530665002589357
message: 'Optimization terminated successfully.'
nfev: 130
nit: 2
status: 0
success: True
x: array([ 41.00348959, -20.95164186, -87.89134875])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.16157504e-03, -2.58927620e-03, -4.65577556e-05]])
fopt: 1.8453686417886719
fun: -1.8612990708638706
message: 'Optimization terminated successfully.'
nfev: 137
nit: 2
status: 0
success: True
x: array([ 41.37012993, -87.99937927, -0.66423321])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.56666713, 0.01677312, 0.75467119]])
fopt: 1.6603995208689843
fun: -1.6649521017339053
message: 'Optimization terminated successfully.'
nfev: 263
nit: 3
status: 0
success: True
x: array([ 68.00182304, -0.99948801, -81.99505714])
xopt: array([68., 0., 0.])
zopt: array([68., 68., 68.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.92127271e-05, -1.69380784e-10, 1.71947417e-06]])
fopt: 1.6729644935549584
fun: -1.6787959230425935
message: 'Optimization terminated successfully.'
nfev: 229
nit: 2
status: 0
success: True
x: array([86.26334522, 1.00014557, -0.47785486])
xopt: array([86., 1., 0.])
zopt: array([86., 87., 87.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.25787593e-08, -4.96459284e-18, 1.58482269e-09]])
fopt: 1.3898083723594221
fun: -1.392809112870101
message: 'Optimization terminated successfully.'
nfev: 222
nit: 2
status: 0
success: True
x: array([86.60820748, 1.00000001, -0.86933245])
xopt: array([86., 1., 0.])
zopt: array([86., 87., 87.])
*******************************************
Period: 7
direc: array([[ 0.0000000e+00, 0.0000000e+00, 1.0000000e+00],
[ 0.0000000e+00, 1.0000000e+00, 0.0000000e+00],
[-1.1627400e-02, -3.8228193e-12, -0.0000000e+00]])
fopt: 1.3728764799599036
fun: -1.3752205670454531
message: 'Optimization terminated successfully.'
nfev: 271
nit: 2
status: 0
success: True
x: array([116.39788428, 1.00000004, 1. ])
xopt: array([116., 1., 1.])
zopt: array([116., 117., 118.])
*******************************************
Period: 8
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.3485041 , -0.00290422, 0.00388328]])
fopt: 1.234206034026459
fun: -1.2366441933913455
message: 'Optimization terminated successfully.'
nfev: 247
nit: 3
status: 0
success: True
x: array([130.86371807, 2.46415423, -0.71661306])
xopt: array([130., 3., 0.])
zopt: array([130., 133., 133.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.09626455e-04, -0.00000000e+00, 1.41262831e-06]])
fopt: 1.1397134758712286
fun: -1.139708785793164
message: 'Optimization terminated successfully.'
nfev: 238
nit: 2
status: 0
success: True
x: array([149.21148664, 1.00131428, -0.90982864])
xopt: array([149., 1., 0.])
zopt: array([149., 150., 150.])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.45730403, -0. , 0.0055275 ]])
fopt: 1.0466020089757826
fun: -1.0501164077355254
message: 'Optimization terminated successfully.'
nfev: 282
nit: 3
status: 0
success: True
x: array([166.00028254, 1.0609411 , -0.99442172])
xopt: array([166., 1., 0.])
zopt: array([166., 167., 167.])
*******************************************
Period: 11
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.9466970480326712
fun: -0.9480411718710776
message: 'Optimization terminated successfully.'
nfev: 216
nit: 2
status: 0
success: True
x: array([166.1699592 , 1.00001376, 2. ])
xopt: array([166., 1., 2.])
zopt: array([166., 167., 169.])
*******************************************
Period: 12
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.40991699e-03, 8.57944373e-06, 8.57944373e-06]])
fopt: 0.7980576132424365
fun: -0.7999406593982927
message: 'Optimization terminated successfully.'
nfev: 482
nit: 5
status: 0
success: True
x: array([165.33772132, 2.00000055, 6.00365981])
xopt: array([165., 2., 7.])
zopt: array([165., 167., 174.])
*******************************************
Period: 13
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.38502458e-06, 8.26512189e-17, 2.05471829e-08]])
fopt: 0.6463903367668439
fun: -0.6463999055518477
message: 'Optimization terminated successfully.'
nfev: 321
nit: 3
status: 0
success: True
x: array([165.74397635, 1. , 3.00000001])
xopt: array([165., 2., 4.])
zopt: array([165., 167., 171.])
*******************************************
Period: 14
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -4.82691847e-05, 5.53979866e+01]])
fopt: 0.8525494606846664
fun: -0.8542465225563631
message: 'Optimization terminated successfully.'
nfev: 635
nit: 8
status: 0
success: True
x: array([166.0620554 , 1.01370824, 69.01165423])
xopt: array([166., 1., 69.])
zopt: array([166., 167., 236.])
*******************************************
Period: 15
direc: array([[-157.94774777, 56.40451338, 59.73333792],
[ 0. , 1. , 0. ],
[ 0. , -0. , 0. ]])
fopt: 0.8905962144027669
fun: -0.8834053862712802
message: 'Optimization terminated successfully.'
nfev: 344
nit: 5
status: 0
success: True
x: array([100.99458631, 66.06598657, 70.2366526 ])
xopt: array([100., 67., 71.])
zopt: array([100., 167., 238.])
*******************************************
Period: 16
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3457531388961375
fun: -0.3430262964881203
message: 'Optimization terminated successfully.'
nfev: 174
nit: 2
status: 0
success: True
x: array([294.98598593, 2. , 3.09292203])
xopt: array([294., 2., 4.])
zopt: array([294., 296., 300.])
*******************************************
Period: 17
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-121.77436692, 26.08553427, 147.46817738]])
fopt: 0.802249030883659
fun: -0.7991508574731625
message: 'Optimization terminated successfully.'
nfev: 366
nit: 5
status: 0
success: True
x: array([174. , 29.00001074, 156.51947699])
xopt: array([173., 30., 156.])
zopt: array([173., 203., 359.])
*******************************************
Period: 18
direc: array([[-1.01109989e+01, 2.00000003e+00, 4.00000010e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.55081558e-03, -3.86709067e-05, 3.83301007e-06]])
fopt: 0.5447451701226396
fun: -0.5397906664867
message: 'Optimization terminated successfully.'
nfev: 334
nit: 5
status: 0
success: True
x: array([129.0016962 , 38.00281259, 73.30751958])
xopt: array([129., 38., 74.])
zopt: array([129., 167., 241.])
*******************************************
Period: 19
direc: array([[-1.44644728e+02, -1.50360673e-02, 1.46105782e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.34793326e-01, -3.88748356e-06, 0.00000000e+00]])
fopt: 0.7558306796714713
fun: -0.7563447384474605
message: 'Optimization terminated successfully.'
nfev: 475
nit: 6
status: 0
success: True
x: array([166.07507421, 1.00663203, 150.14485208])
xopt: array([166., 1., 150.])
zopt: array([166., 167., 317.])
*******************************************
Period: 20
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.39779569e+02, 1.21422810e+02, 8.09485397e+01],
[-4.00053092e-09, -3.87205768e-07, -0.00000000e+00]])
fopt: 0.7302556896794019
fun: -0.7231705684085946
message: 'Optimization terminated successfully.'
nfev: 559
nit: 8
status: 0
success: True
x: array([ 70.91174874, 138.02170509, 87.00029594])
xopt: array([ 71., 139., 88.])
zopt: array([ 71., 210., 298.])
*******************************************
Period: 21
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.04478626, 0.9999 , 1.01 ]])
fopt: 0.9128950185186373
fun: -0.9107111109455102
message: 'Optimization terminated successfully.'
nfev: 343
nit: 6
status: 0
success: True
x: array([ 71.20876708, 122.01890702, 219.88091132])
xopt: array([ 71., 122., 219.])
zopt: array([ 71., 193., 412.])
*******************************************
Period: 22
direc: array([[ 1. , 0. , 0. ],
[ -8.83548557, 8.54130726, 77.52594381],
[-97.83263383, 65.2217569 , 0. ]])
fopt: 0.8871042909729054
fun: -0.8837442969165487
message: 'Optimization terminated successfully.'
nfev: 764
nit: 11
status: 0
success: True
x: array([ 71.19541867, 101.07346889, 203.00433315])
xopt: array([ 71., 102., 203.])
zopt: array([ 71., 173., 376.])
*******************************************
Period: 23
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-222.69844704, 215.28368164, 143.52245443]])
fopt: 0.8733305229676862
fun: -0.8710548715162044
message: 'Optimization terminated successfully.'
nfev: 421
nit: 6
status: 0
success: True
x: array([ 71.03347102, 152.00118117, 148.47614988])
xopt: array([ 71., 152., 149.])
zopt: array([ 71., 223., 372.])
*******************************************
Period: 24
direc: array([[ 8.38196603, 23.97459981, 0. ],
[-240.66192261, 134.55236732, 89.70157821],
[ 2.99277608, 26.70441671, 0. ]])
fopt: 0.7411811600228422
fun: -0.7407261868626573
message: 'Optimization terminated successfully.'
nfev: 894
nit: 11
status: 0
success: True
x: array([ 74.03774792, 205.00030064, 95.03123587])
xopt: array([ 74., 205., 96.])
zopt: array([ 74., 279., 375.])
*******************************************
Period: 25
direc: array([[-7.25138746e+00, 5.00767490e+00, 5.05170392e+00],
[-5.16521635e+00, 5.98635865e+00, 5.05167347e+00],
[ 2.58933236e-04, -5.65848415e-04, -2.53207793e-04]])
fopt: 0.8031747014552799
fun: -0.7945006048831491
message: 'Optimization terminated successfully.'
nfev: 904
nit: 11
status: 0
success: True
x: array([ 68.04796097, 103.02797198, 178.04808236])
xopt: array([ 69., 104., 179.])
zopt: array([ 69., 173., 352.])
*******************************************
Period: 26
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-8.99417748, 4.49708875, 9.04006297]])
fopt: 0.8862780664236759
fun: -0.8849362481914295
message: 'Optimization terminated successfully.'
nfev: 305
nit: 5
status: 0
success: True
x: array([ 89.99989716, 116. , 223.59305043])
xopt: array([ 90., 116., 223.])
zopt: array([ 90., 206., 429.])
*******************************************
Period: 27
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.09465613e+01, 4.35763806e+00, 8.97187067e+00],
[ 2.35638995e-05, -9.95457709e-03, 1.69375429e-04]])
fopt: 0.8688192129875087
fun: -0.8692989233332913
message: 'Optimization terminated successfully.'
nfev: 331
nit: 5
status: 0
success: True
x: array([ 71.47605311, 124.00008934, 200.00066637])
xopt: array([ 71., 124., 200.])
zopt: array([ 71., 195., 395.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 1. ],
[-0. , 0. , 0. ],
[ 0. , 3.06391124, 0. ]])
fopt: 0.16220895950945616
fun: -0.1598838739869046
message: 'Optimization terminated successfully.'
nfev: 505
nit: 6
status: 0
success: True
x: array([318.73300694, 9.02063155, 3.00950537])
xopt: array([318., 10., 4.])
zopt: array([318., 328., 332.])
*******************************************
Period: 29
direc: array([[-2.32081548e-01, 1.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.56000916e+02, 1.81642729e+02, 1.21095153e+02]])
fopt: 0.7406852154175532
fun: -0.740172498829262
message: 'Optimization terminated successfully.'
nfev: 534
nit: 7
status: 0
success: True
x: array([ 72.02559178, 190.0144598 , 129.47057927])
xopt: array([ 72., 190., 129.])
zopt: array([ 72., 262., 391.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5e0wyamc.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcxh0xquc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.85222
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.37574 1.85222
Optimal solution found (tolerance 1.00e-02)
Best objective 3.375742060899e+00, best bound 3.375742060899e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8f8azr17.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3d3n5i0b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25142
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.828251e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.8282512 2.82825 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.82825 1.25142
Optimal solution found (tolerance 1.00e-02)
Best objective 2.828251153517e+00, best bound 2.828251153517e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx3697bod.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppu6gow2t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.84537
Presolve removed 118 rows and 86 columns
Presolve time: 0.00s
Presolved: 27 rows, 23 columns, 87 nonzeros
Variable types: 11 continuous, 12 integer (9 binary)
Root relaxation: objective 1.881561e+00, 12 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 cutoff 0 1.84537 1.84537 0.00% - 0s
Explored 0 nodes (12 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.84537
Optimal solution found (tolerance 1.00e-02)
Best objective 1.845368641789e+00, best bound 1.845368641789e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7qcbjpd5.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwhc24kjn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26323
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.766629e+00, 33 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76663 0 8 1.26323 1.76663 39.8% - 0s
H 0 0 1.6603995 1.76663 6.40% - 0s
0 0 cutoff 0 1.66040 1.66040 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 1
Flow cover: 4
Flow path: 1
Explored 1 nodes (40 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.6604 1.26323
Optimal solution found (tolerance 1.00e-02)
Best objective 1.660399520869e+00, best bound 1.660399520869e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnldj7in4.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoibpdc0y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1726
Presolve removed 121 rows and 82 columns
Presolve time: 0.00s
Presolved: 116 rows, 93 columns, 409 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 2.112614e+00, 66 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11261 0 4 1.17260 2.11261 80.2% - 0s
H 0 0 1.7522202 2.11261 20.6% - 0s
H 0 0 1.7664338 2.11261 19.6% - 0s
0 0 1.93022 0 1 1.76643 1.93022 9.27% - 0s
0 0 1.93022 0 2 1.76643 1.93022 9.27% - 0s
0 0 1.86971 0 4 1.76643 1.86971 5.85% - 0s
0 0 1.86544 0 2 1.76643 1.86544 5.60% - 0s
0 0 1.86544 0 2 1.76643 1.86544 5.60% - 0s
0 0 1.79799 0 1 1.76643 1.79799 1.79% - 0s
0 0 cutoff 0 1.76643 1.76643 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (122 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.76643 1.75222 1.1726
Optimal solution found (tolerance 1.00e-02)
Best objective 1.766433802654e+00, best bound 1.766433802654e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbcyroa4w.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb3jni93a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.4677
Presolve removed 137 rows and 93 columns
Presolve time: 0.00s
Presolved: 146 rows, 115 columns, 516 nonzeros
Variable types: 57 continuous, 58 integer (52 binary)
Root relaxation: objective 1.759994e+00, 93 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75999 0 5 1.46770 1.75999 19.9% - 0s
0 0 1.60771 0 2 1.46770 1.60771 9.54% - 0s
0 0 1.60574 0 3 1.46770 1.60574 9.41% - 0s
0 0 1.55582 0 3 1.46770 1.55582 6.00% - 0s
0 0 1.55235 0 3 1.46770 1.55235 5.77% - 0s
0 0 1.55226 0 3 1.46770 1.55226 5.76% - 0s
0 0 1.55218 0 3 1.46770 1.55218 5.76% - 0s
0 0 1.55218 0 3 1.46770 1.55218 5.76% - 0s
0 0 1.49647 0 2 1.46770 1.49647 1.96% - 0s
0 0 cutoff 0 1.46770 1.46770 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 1
Flow cover: 2
Explored 1 nodes (182 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.4677
Optimal solution found (tolerance 1.00e-02)
Best objective 1.467699463275e+00, best bound 1.467699463275e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx0be8kb5.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0eaqc9_4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18252
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.258111e+00, 133 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.25811 0 8 1.18252 2.25811 91.0% - 0s
0 0 2.12168 0 5 1.18252 2.12168 79.4% - 0s
0 0 2.11531 0 10 1.18252 2.11531 78.9% - 0s
0 0 2.09794 0 11 1.18252 2.09794 77.4% - 0s
0 0 2.09729 0 11 1.18252 2.09729 77.4% - 0s
0 0 2.07915 0 9 1.18252 2.07915 75.8% - 0s
0 0 2.07706 0 9 1.18252 2.07706 75.6% - 0s
0 0 2.07650 0 13 1.18252 2.07650 75.6% - 0s
0 0 2.07646 0 13 1.18252 2.07646 75.6% - 0s
0 0 2.07628 0 11 1.18252 2.07628 75.6% - 0s
0 0 2.07613 0 11 1.18252 2.07613 75.6% - 0s
0 0 2.07605 0 6 1.18252 2.07605 75.6% - 0s
0 0 2.07605 0 6 1.18252 2.07605 75.6% - 0s
0 2 2.07605 0 6 1.18252 2.07605 75.6% - 0s
H 3 6 1.5053670 2.03845 35.4% 7.0 0s
* 24 3 9 1.5704291 1.67351 6.56% 4.5 0s
Cutting planes:
Gomory: 3
Implied bound: 5
MIR: 1
Flow cover: 14
Explored 30 nodes (368 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.57043 1.50537 1.18252
Optimal solution found (tolerance 1.00e-02)
Best objective 1.570429071912e+00, best bound 1.570429071912e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl97esfv5.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphtia_465.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29523
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.135065e+00, 140 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13506 0 10 1.29523 2.13506 64.8% - 0s
0 0 2.01537 0 8 1.29523 2.01537 55.6% - 0s
0 0 2.01116 0 10 1.29523 2.01116 55.3% - 0s
0 0 2.00982 0 9 1.29523 2.00982 55.2% - 0s
0 0 2.00957 0 14 1.29523 2.00957 55.2% - 0s
0 0 1.99901 0 16 1.29523 1.99901 54.3% - 0s
0 0 1.99742 0 16 1.29523 1.99742 54.2% - 0s
0 0 1.99157 0 15 1.29523 1.99157 53.8% - 0s
0 0 1.98765 0 16 1.29523 1.98765 53.5% - 0s
0 0 1.98168 0 14 1.29523 1.98168 53.0% - 0s
0 0 1.98168 0 14 1.29523 1.98168 53.0% - 0s
0 2 1.98168 0 14 1.29523 1.98168 53.0% - 0s
* 49 9 15 1.4660993 1.61691 10.3% 5.6 0s
Cutting planes:
Gomory: 4
Cover: 2
Implied bound: 5
MIR: 5
Flow cover: 15
Explored 69 nodes (613 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.4661 1.29523
Optimal solution found (tolerance 1.00e-02)
Best objective 1.466099321588e+00, best bound 1.466099321588e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjggw21er.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqzzn_gjc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23904
Presolve removed 179 rows and 116 columns
Presolve time: 0.00s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.063641e+00, 176 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06364 0 12 1.23904 2.06364 66.6% - 0s
0 0 1.96032 0 6 1.23904 1.96032 58.2% - 0s
0 0 1.95832 0 6 1.23904 1.95832 58.1% - 0s
0 0 1.95334 0 12 1.23904 1.95334 57.6% - 0s
0 0 1.94626 0 9 1.23904 1.94626 57.1% - 0s
0 0 1.94511 0 9 1.23904 1.94511 57.0% - 0s
0 0 1.94511 0 9 1.23904 1.94511 57.0% - 0s
0 0 1.94511 0 9 1.23904 1.94511 57.0% - 0s
H 0 0 1.4164473 1.94511 37.3% - 0s
0 2 1.94511 0 9 1.41645 1.94511 37.3% - 0s
H 62 17 1.4164474 1.65127 16.6% 6.2 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 6
Flow cover: 13
Inf proof: 3
Explored 133 nodes (1227 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.41645 1.41645 1.23904
Optimal solution found (tolerance 1.00e-02)
Best objective 1.416447442097e+00, best bound 1.416447442097e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprtadio21.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5llnbf7l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2159
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 1.996961e+00, 187 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99696 0 14 1.21590 1.99696 64.2% - 0s
0 0 1.90450 0 12 1.21590 1.90450 56.6% - 0s
0 0 1.90414 0 10 1.21590 1.90414 56.6% - 0s
0 0 1.90217 0 12 1.21590 1.90217 56.4% - 0s
0 0 1.90217 0 13 1.21590 1.90217 56.4% - 0s
0 0 1.90107 0 15 1.21590 1.90107 56.3% - 0s
0 0 1.90095 0 15 1.21590 1.90095 56.3% - 0s
0 0 1.87934 0 13 1.21590 1.87934 54.6% - 0s
0 0 1.87601 0 14 1.21590 1.87601 54.3% - 0s
0 0 1.84440 0 13 1.21590 1.84440 51.7% - 0s
0 0 1.84439 0 15 1.21590 1.84439 51.7% - 0s
0 0 1.84439 0 15 1.21590 1.84439 51.7% - 0s
0 0 1.84240 0 15 1.21590 1.84240 51.5% - 0s
0 0 1.82480 0 15 1.21590 1.82480 50.1% - 0s
0 0 1.82480 0 15 1.21590 1.82480 50.1% - 0s
0 0 1.82275 0 14 1.21590 1.82275 49.9% - 0s
0 0 1.79594 0 16 1.21590 1.79594 47.7% - 0s
0 0 1.78414 0 12 1.21590 1.78414 46.7% - 0s
0 0 1.78414 0 12 1.21590 1.78414 46.7% - 0s
0 0 1.78414 0 12 1.21590 1.78414 46.7% - 0s
0 2 1.78414 0 12 1.21590 1.78414 46.7% - 0s
* 53 22 16 1.3515196 1.56688 15.9% 6.5 0s
Cutting planes:
Gomory: 5
Implied bound: 7
MIR: 3
Flow cover: 17
Inf proof: 4
Explored 128 nodes (1082 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35152 1.2159
Optimal solution found (tolerance 1.00e-02)
Best objective 1.351519641079e+00, best bound 1.351519641079e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv8t0s_pk.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_5948au4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22447
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 1.814068e+00, 246 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81407 0 15 1.22447 1.81407 48.2% - 0s
0 0 1.72700 0 8 1.22447 1.72700 41.0% - 0s
0 0 1.72310 0 14 1.22447 1.72310 40.7% - 0s
0 0 1.72204 0 13 1.22447 1.72204 40.6% - 0s
0 0 1.67835 0 11 1.22447 1.67835 37.1% - 0s
0 0 1.67328 0 16 1.22447 1.67328 36.7% - 0s
0 0 1.65316 0 16 1.22447 1.65316 35.0% - 0s
0 0 1.65316 0 16 1.22447 1.65316 35.0% - 0s
0 0 1.63892 0 18 1.22447 1.63892 33.8% - 0s
0 0 1.63798 0 18 1.22447 1.63798 33.8% - 0s
0 0 1.63798 0 16 1.22447 1.63798 33.8% - 0s
0 0 1.63657 0 16 1.22447 1.63657 33.7% - 0s
0 0 1.63296 0 19 1.22447 1.63296 33.4% - 0s
0 0 1.63293 0 19 1.22447 1.63293 33.4% - 0s
0 0 1.62779 0 19 1.22447 1.62779 32.9% - 0s
0 0 1.62779 0 19 1.22447 1.62779 32.9% - 0s
0 2 1.62779 0 16 1.22447 1.62779 32.9% - 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 6
MIR: 5
Flow cover: 20
Explored 115 nodes (1062 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.22447
Optimal solution found (tolerance 1.00e-02)
Best objective 1.224468201027e+00, best bound 1.224468201027e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnb3k9yu3.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt19rlotg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04951
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 1.970396e+00, 273 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97040 0 19 1.04951 1.97040 87.7% - 0s
0 0 1.88255 0 18 1.04951 1.88255 79.4% - 0s
0 0 1.88255 0 15 1.04951 1.88255 79.4% - 0s
0 0 1.87040 0 17 1.04951 1.87040 78.2% - 0s
0 0 1.86966 0 18 1.04951 1.86966 78.1% - 0s
0 0 1.84927 0 21 1.04951 1.84927 76.2% - 0s
0 0 1.83772 0 23 1.04951 1.83772 75.1% - 0s
0 0 1.82116 0 23 1.04951 1.82116 73.5% - 0s
0 0 1.82116 0 23 1.04951 1.82116 73.5% - 0s
0 0 1.82116 0 21 1.04951 1.82116 73.5% - 0s
0 0 1.81455 0 23 1.04951 1.81455 72.9% - 0s
0 0 1.81455 0 23 1.04951 1.81455 72.9% - 0s
0 0 1.81455 0 23 1.04951 1.81455 72.9% - 0s
0 2 1.81455 0 23 1.04951 1.81455 72.9% - 0s
* 370 92 22 1.0797783 1.40305 29.9% 6.1 0s
* 394 93 29 1.0999620 1.40305 27.6% 6.1 0s
* 463 48 24 1.1341156 1.32865 17.2% 5.9 0s
* 496 6 23 1.1475195 1.32856 15.8% 5.7 0s
* 508 1 25 1.1520314 1.32856 15.3% 5.7 0s
* 574 0 24 1.1654353 1.28184 10.0% 5.5 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 9
Clique: 1
MIR: 6
Flow cover: 24
Inf proof: 4
Explored 577 nodes (3691 simplex iterations) in 0.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.16544 1.15203 1.14752 ... 1.04951
Optimal solution found (tolerance 1.00e-02)
Best objective 1.165435302181e+00, best bound 1.165435302181e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdmua78kk.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpajtj3ch9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00237
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.098624e+00, 315 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09862 0 21 1.00237 2.09862 109% - 0s
0 0 1.99620 0 18 1.00237 1.99620 99.1% - 0s
0 0 1.93304 0 37 1.00237 1.93304 92.8% - 0s
0 0 1.93186 0 36 1.00237 1.93186 92.7% - 0s
0 0 1.86850 0 37 1.00237 1.86850 86.4% - 0s
0 0 1.86411 0 37 1.00237 1.86411 86.0% - 0s
0 0 1.85786 0 42 1.00237 1.85786 85.3% - 0s
0 0 1.85669 0 42 1.00237 1.85669 85.2% - 0s
0 0 1.85666 0 42 1.00237 1.85666 85.2% - 0s
0 0 1.85666 0 42 1.00237 1.85666 85.2% - 0s
0 2 1.85666 0 42 1.00237 1.85666 85.2% - 0s
* 1089 223 28 1.0350648 1.30201 25.8% 5.0 0s
* 1149 233 36 1.0561021 1.29762 22.9% 4.9 0s
* 1214 172 35 1.0775052 1.27092 18.0% 4.9 0s
* 1369 104 32 1.1157154 1.22867 10.1% 4.9 0s
* 1502 63 22 1.1168266 1.18181 5.82% 4.8 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 22
Clique: 2
MIR: 8
Flow cover: 38
Flow path: 2
Inf proof: 24
Explored 1630 nodes (8429 simplex iterations) in 0.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.11683 1.11572 1.07751 ... 1.00237
Optimal solution found (tolerance 1.00e-02)
Best objective 1.116826638671e+00, best bound 1.127132934095e+00, gap 0.9228%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2cq8jb9_.pyomo.lp
Reading time = 0.01 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuvsiy7ez.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.992844
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.065999e+00, 335 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06600 0 24 0.99284 2.06600 108% - 0s
0 0 1.96110 0 23 0.99284 1.96110 97.5% - 0s
0 0 1.92638 0 30 0.99284 1.92638 94.0% - 0s
0 0 1.92467 0 30 0.99284 1.92467 93.9% - 0s
0 0 1.91519 0 36 0.99284 1.91519 92.9% - 0s
0 0 1.91013 0 28 0.99284 1.91013 92.4% - 0s
0 0 1.86480 0 35 0.99284 1.86480 87.8% - 0s
0 0 1.85658 0 34 0.99284 1.85658 87.0% - 0s
0 0 1.85294 0 40 0.99284 1.85294 86.6% - 0s
0 0 1.85294 0 40 0.99284 1.85294 86.6% - 0s
0 0 1.83402 0 40 0.99284 1.83402 84.7% - 0s
0 0 1.83402 0 43 0.99284 1.83402 84.7% - 0s
0 0 1.83203 0 43 0.99284 1.83203 84.5% - 0s
0 0 1.83203 0 43 0.99284 1.83203 84.5% - 0s
0 2 1.83203 0 43 0.99284 1.83203 84.5% - 0s
* 618 152 34 1.0838004 1.43804 32.7% 8.6 0s
Cutting planes:
Gomory: 12
Cover: 3
Implied bound: 23
Clique: 3
MIR: 13
Flow cover: 41
Flow path: 1
Inf proof: 10
Explored 1195 nodes (9112 simplex iterations) in 0.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0838 0.992844
Optimal solution found (tolerance 1.00e-02)
Best objective 1.083800405225e+00, best bound 1.083800405225e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsmjxmmyx.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnteidu6o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.957003
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.029506e+00, 391 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02951 0 25 0.95700 2.02951 112% - 0s
0 0 1.93110 0 26 0.95700 1.93110 102% - 0s
0 0 1.90972 0 40 0.95700 1.90972 100% - 0s
0 0 1.88991 0 39 0.95700 1.88991 97.5% - 0s
0 0 1.83745 0 43 0.95700 1.83745 92.0% - 0s
0 0 1.83438 0 42 0.95700 1.83438 91.7% - 0s
0 0 1.80334 0 46 0.95700 1.80334 88.4% - 0s
0 0 1.80304 0 46 0.95700 1.80304 88.4% - 0s
0 0 1.80107 0 42 0.95700 1.80107 88.2% - 0s
0 0 1.79848 0 43 0.95700 1.79848 87.9% - 0s
0 0 1.77889 0 41 0.95700 1.77889 85.9% - 0s
0 0 1.77889 0 41 0.95700 1.77889 85.9% - 0s
0 0 1.77889 0 41 0.95700 1.77889 85.9% - 0s
0 2 1.77889 0 41 0.95700 1.77889 85.9% - 0s
* 663 206 36 0.9909227 1.39108 40.4% 6.6 0s
* 707 209 39 1.0304205 1.37016 33.0% 6.4 0s
* 850 193 40 1.0687037 1.31434 23.0% 6.0 0s
* 1290 42 35 1.1074207 1.15249 4.07% 6.0 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 21
Clique: 2
MIR: 15
Flow cover: 31
Inf proof: 15
Explored 1338 nodes (8709 simplex iterations) in 0.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.10742 1.0687 1.03042 ... 0.957003
Optimal solution found (tolerance 1.00e-02)
Best objective 1.107420727727e+00, best bound 1.107420727727e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnt0y54rt.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfhc53lff.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.994082
Presolve removed 273 rows and 173 columns
Presolve time: 0.02s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.024311e+00, 415 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02431 0 27 0.99408 2.02431 104% - 0s
0 0 1.91352 0 31 0.99408 1.91352 92.5% - 0s
0 0 1.91352 0 31 0.99408 1.91352 92.5% - 0s
0 0 1.89828 0 45 0.99408 1.89828 91.0% - 0s
0 0 1.87595 0 39 0.99408 1.87595 88.7% - 0s
0 0 1.87259 0 38 0.99408 1.87259 88.4% - 0s
0 0 1.86982 0 41 0.99408 1.86982 88.1% - 0s
0 0 1.86768 0 42 0.99408 1.86768 87.9% - 0s
0 0 1.86730 0 42 0.99408 1.86730 87.8% - 0s
0 0 1.86721 0 43 0.99408 1.86721 87.8% - 0s
0 0 1.86721 0 43 0.99408 1.86721 87.8% - 0s
0 0 1.86481 0 43 0.99408 1.86481 87.6% - 0s
0 0 1.86461 0 43 0.99408 1.86461 87.6% - 0s
0 0 1.86184 0 44 0.99408 1.86184 87.3% - 0s
0 0 1.86016 0 44 0.99408 1.86016 87.1% - 0s
0 0 1.86002 0 46 0.99408 1.86002 87.1% - 0s
0 0 1.86002 0 46 0.99408 1.86002 87.1% - 0s
0 0 1.85577 0 42 0.99408 1.85577 86.7% - 0s
0 0 1.85303 0 43 0.99408 1.85303 86.4% - 0s
0 0 1.85023 0 44 0.99408 1.85023 86.1% - 0s
0 0 1.85016 0 49 0.99408 1.85016 86.1% - 0s
0 0 1.85016 0 48 0.99408 1.85016 86.1% - 0s
0 0 1.85016 0 48 0.99408 1.85016 86.1% - 0s
0 2 1.85016 0 48 0.99408 1.85016 86.1% - 0s
* 789 302 45 1.0495405 1.46689 39.8% 8.2 0s
* 891 277 41 1.1042390 1.45147 31.4% 7.8 0s
Cutting planes:
Gomory: 7
Cover: 18
Implied bound: 31
Clique: 3
MIR: 12
Flow cover: 55
Flow path: 1
Inf proof: 16
Network: 1
Explored 1594 nodes (11824 simplex iterations) in 1.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.10424 1.04954 0.994082
Optimal solution found (tolerance 1.00e-02)
Best objective 1.104239024108e+00, best bound 1.109075602862e+00, gap 0.4380%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv6ehvhn0.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4x3a92u7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.997074
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.000394e+00, 402 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.00039 0 30 0.99707 2.00039 101% - 0s
0 0 1.88482 0 34 0.99707 1.88482 89.0% - 0s
0 0 1.88482 0 34 0.99707 1.88482 89.0% - 0s
0 0 1.85279 0 57 0.99707 1.85279 85.8% - 0s
0 0 1.83506 0 49 0.99707 1.83506 84.0% - 0s
0 0 1.80780 0 48 0.99707 1.80780 81.3% - 0s
0 0 1.80442 0 50 0.99707 1.80442 81.0% - 0s
0 0 1.80366 0 50 0.99707 1.80366 80.9% - 0s
0 0 1.80366 0 50 0.99707 1.80366 80.9% - 0s
0 0 1.79297 0 51 0.99707 1.79297 79.8% - 0s
0 0 1.79274 0 51 0.99707 1.79274 79.8% - 0s
0 0 1.79145 0 52 0.99707 1.79145 79.7% - 0s
0 0 1.79145 0 52 0.99707 1.79145 79.7% - 0s
0 0 1.77237 0 52 0.99707 1.77237 77.8% - 0s
0 0 1.77172 0 53 0.99707 1.77172 77.7% - 0s
0 0 1.77172 0 53 0.99707 1.77172 77.7% - 0s
0 0 1.77082 0 56 0.99707 1.77082 77.6% - 0s
0 0 1.77078 0 53 0.99707 1.77078 77.6% - 0s
0 0 1.77071 0 55 0.99707 1.77071 77.6% - 0s
0 0 1.77071 0 52 0.99707 1.77071 77.6% - 0s
0 2 1.77071 0 52 0.99707 1.77071 77.6% - 0s
* 518 227 53 1.0918808 1.46965 34.6% 7.3 0s
* 2585 13 51 1.0964103 1.10224 0.53% 6.0 1s
Cutting planes:
Gomory: 18
Cover: 7
Implied bound: 32
Clique: 1
MIR: 7
Flow cover: 39
Flow path: 2
Inf proof: 32
Explored 2587 nodes (16352 simplex iterations) in 1.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.09641 1.09188 0.997074
Optimal solution found (tolerance 1.00e-02)
Best objective 1.096410287218e+00, best bound 1.102239793071e+00, gap 0.5317%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx27myue4.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0g_1k9l5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.996403
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.946730e+00, 499 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94673 0 35 0.99640 1.94673 95.4% - 0s
0 0 1.82169 0 34 0.99640 1.82169 82.8% - 0s
0 0 1.82169 0 35 0.99640 1.82169 82.8% - 0s
0 0 1.78547 0 52 0.99640 1.78547 79.2% - 0s
0 0 1.77253 0 45 0.99640 1.77253 77.9% - 0s
0 0 1.73741 0 54 0.99640 1.73741 74.4% - 0s
0 0 1.73236 0 56 0.99640 1.73236 73.9% - 0s
0 0 1.73215 0 56 0.99640 1.73215 73.8% - 0s
0 0 1.70723 0 56 0.99640 1.70723 71.3% - 0s
0 0 1.70704 0 55 0.99640 1.70704 71.3% - 0s
0 0 1.70652 0 52 0.99640 1.70652 71.3% - 0s
0 0 1.70652 0 47 0.99640 1.70652 71.3% - 0s
0 2 1.70652 0 46 0.99640 1.70652 71.3% - 0s
* 511 282 58 1.0696791 1.39087 30.0% 6.9 0s
Cutting planes:
Gomory: 30
Cover: 4
Implied bound: 13
Projected implied bound: 17
Clique: 1
MIR: 15
Flow cover: 42
Flow path: 2
Inf proof: 14
Explored 2481 nodes (23846 simplex iterations) in 2.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.06968 0.996403
Optimal solution found (tolerance 1.00e-02)
Best objective 1.069679095996e+00, best bound 1.069679095996e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq27u109v.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpke8j_33k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.984695
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.899126e+00, 508 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89913 0 38 0.98469 1.89913 92.9% - 0s
0 0 1.76040 0 37 0.98469 1.76040 78.8% - 0s
0 0 1.74571 0 53 0.98469 1.74571 77.3% - 0s
0 0 1.73390 0 48 0.98469 1.73390 76.1% - 0s
0 0 1.72790 0 50 0.98469 1.72790 75.5% - 0s
0 0 1.72499 0 52 0.98469 1.72499 75.2% - 0s
0 0 1.72433 0 51 0.98469 1.72433 75.1% - 0s
0 0 1.72433 0 51 0.98469 1.72433 75.1% - 0s
0 0 1.72395 0 55 0.98469 1.72395 75.1% - 0s
0 0 1.72395 0 55 0.98469 1.72395 75.1% - 0s
0 0 1.72244 0 56 0.98469 1.72244 74.9% - 0s
0 0 1.72238 0 56 0.98469 1.72238 74.9% - 0s
0 0 1.72218 0 56 0.98469 1.72218 74.9% - 0s
0 0 1.72218 0 56 0.98469 1.72218 74.9% - 0s
0 2 1.72218 0 56 0.98469 1.72218 74.9% - 0s
* 1936 439 61 0.9958166 1.20411 20.9% 8.0 1s
* 2698 249 52 1.0250473 1.10771 8.06% 7.5 1s
* 3099 3 52 1.0307147 1.03633 0.54% 7.3 1s
Cutting planes:
Gomory: 18
Cover: 11
Implied bound: 39
Clique: 3
MIR: 15
Flow cover: 39
Flow path: 1
Inf proof: 35
Explored 3113 nodes (23677 simplex iterations) in 1.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.03071 1.02505 0.995817 0.984695
Optimal solution found (tolerance 1.00e-02)
Best objective 1.030714693801e+00, best bound 1.031908530682e+00, gap 0.1158%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo8lz0z39.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgohpmgn9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.947965
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.849411e+00, 502 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84941 0 43 0.94796 1.84941 95.1% - 0s
0 0 1.69952 0 41 0.94796 1.69952 79.3% - 0s
0 0 1.69952 0 41 0.94796 1.69952 79.3% - 0s
0 0 1.69294 0 52 0.94796 1.69294 78.6% - 0s
0 0 1.69183 0 56 0.94796 1.69183 78.5% - 0s
0 0 1.68547 0 61 0.94796 1.68547 77.8% - 0s
0 0 1.68534 0 57 0.94796 1.68534 77.8% - 0s
0 0 1.68527 0 59 0.94796 1.68527 77.8% - 0s
0 0 1.66778 0 58 0.94796 1.66778 75.9% - 0s
0 0 1.66403 0 61 0.94796 1.66403 75.5% - 0s
0 0 1.66384 0 61 0.94796 1.66384 75.5% - 0s
0 0 1.65837 0 67 0.94796 1.65837 74.9% - 0s
0 0 1.65837 0 67 0.94796 1.65837 74.9% - 0s
0 0 1.65631 0 65 0.94796 1.65631 74.7% - 0s
0 0 1.65317 0 66 0.94796 1.65317 74.4% - 0s
0 0 1.65317 0 66 0.94796 1.65317 74.4% - 0s
0 0 1.65317 0 66 0.94796 1.65317 74.4% - 0s
0 0 1.65317 0 66 0.94796 1.65317 74.4% - 0s
0 2 1.65317 0 66 0.94796 1.65317 74.4% - 0s
* 2535 174 54 0.9865928 1.06845 8.30% 8.7 1s
Cutting planes:
Gomory: 22
Cover: 14
Implied bound: 38
Clique: 1
MIR: 18
Flow cover: 55
Flow path: 3
Inf proof: 18
Explored 2847 nodes (24326 simplex iterations) in 1.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.986593 0.947965
Optimal solution found (tolerance 1.00e-02)
Best objective 9.865928058075e-01, best bound 9.929869315493e-01, gap 0.6481%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp895my3tr.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph6zymf99.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.908871
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.801835e+00, 565 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80183 0 48 0.90887 1.80183 98.2% - 0s
0 0 1.64330 0 43 0.90887 1.64330 80.8% - 0s
0 0 1.64330 0 43 0.90887 1.64330 80.8% - 0s
0 0 1.59656 0 64 0.90887 1.59656 75.7% - 0s
0 0 1.58730 0 59 0.90887 1.58730 74.6% - 0s
0 0 1.58537 0 65 0.90887 1.58537 74.4% - 0s
0 0 1.57142 0 63 0.90887 1.57142 72.9% - 0s
0 0 1.56385 0 66 0.90887 1.56385 72.1% - 0s
0 0 1.56078 0 68 0.90887 1.56078 71.7% - 0s
0 0 1.54897 0 70 0.90887 1.54897 70.4% - 0s
0 0 1.54886 0 70 0.90887 1.54886 70.4% - 0s
0 0 1.54803 0 69 0.90887 1.54803 70.3% - 0s
0 0 1.54803 0 69 0.90887 1.54803 70.3% - 0s
0 2 1.54803 0 69 0.90887 1.54803 70.3% - 0s
* 355 204 75 0.9554776 1.30676 36.8% 10.1 0s
* 2348 275 62 0.9567808 0.96781 1.15% 10.8 2s
Cutting planes:
Gomory: 33
Cover: 3
Implied bound: 21
Projected implied bound: 19
MIR: 22
Flow cover: 39
Flow path: 1
Inf proof: 16
Explored 2372 nodes (26619 simplex iterations) in 2.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.956781 0.955478 0.908871
Optimal solution found (tolerance 1.00e-02)
Best objective 9.567808401828e-01, best bound 9.567808401828e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9hgmwp9i.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpusb8fa1l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.944733
Presolve removed 351 rows and 221 columns
Presolve time: 0.01s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.767771e+00, 636 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76777 0 51 0.94473 1.76777 87.1% - 0s
0 0 1.62288 0 49 0.94473 1.62288 71.8% - 0s
0 0 1.62207 0 50 0.94473 1.62207 71.7% - 0s
0 0 1.62207 0 50 0.94473 1.62207 71.7% - 0s
0 0 1.56096 0 61 0.94473 1.56096 65.2% - 0s
0 0 1.55110 0 62 0.94473 1.55110 64.2% - 0s
0 0 1.54311 0 67 0.94473 1.54311 63.3% - 0s
0 0 1.54301 0 63 0.94473 1.54301 63.3% - 0s
0 0 1.49322 0 77 0.94473 1.49322 58.1% - 0s
0 0 1.49033 0 77 0.94473 1.49033 57.8% - 0s
0 0 1.49020 0 79 0.94473 1.49020 57.7% - 0s
0 0 1.48134 0 77 0.94473 1.48134 56.8% - 0s
0 0 1.48122 0 78 0.94473 1.48122 56.8% - 0s
0 0 1.47200 0 79 0.94473 1.47200 55.8% - 0s
0 0 1.47183 0 81 0.94473 1.47183 55.8% - 0s
0 0 1.47181 0 82 0.94473 1.47181 55.8% - 0s
0 0 1.47181 0 82 0.94473 1.47181 55.8% - 0s
0 2 1.47181 0 82 0.94473 1.47181 55.8% - 0s
* 3275 4 79 0.9468103 0.97237 2.70% 9.8 4s
* 3291 0 70 0.9487173 0.97237 2.49% 9.7 4s
Cutting planes:
Gomory: 35
Cover: 6
Implied bound: 17
Projected implied bound: 21
Clique: 1
MIR: 14
Flow cover: 55
Flow path: 2
Inf proof: 22
Explored 3386 nodes (33757 simplex iterations) in 4.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.948717 0.94681 0.944733
Optimal solution found (tolerance 1.00e-02)
Best objective 9.487172968987e-01, best bound 9.572260410789e-01, gap 0.8969%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_tuea9nd.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_7_d0m7_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.956917
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.803896e+00, 538 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80390 0 46 0.95692 1.80390 88.5% - 0s
0 0 1.66533 0 51 0.95692 1.66533 74.0% - 0s
0 0 1.66533 0 51 0.95692 1.66533 74.0% - 0s
0 0 1.66055 0 69 0.95692 1.66055 73.5% - 0s
0 0 1.64648 0 62 0.95692 1.64648 72.1% - 0s
0 0 1.61709 0 76 0.95692 1.61709 69.0% - 0s
0 0 1.60985 0 76 0.95692 1.60985 68.2% - 0s
0 0 1.60871 0 79 0.95692 1.60871 68.1% - 0s
0 0 1.60871 0 79 0.95692 1.60871 68.1% - 0s
0 0 1.59581 0 86 0.95692 1.59581 66.8% - 0s
0 0 1.59453 0 81 0.95692 1.59453 66.6% - 0s
0 0 1.59442 0 82 0.95692 1.59442 66.6% - 0s
0 0 1.59031 0 80 0.95692 1.59031 66.2% - 0s
0 0 1.59028 0 80 0.95692 1.59028 66.2% - 0s
0 0 1.58859 0 81 0.95692 1.58859 66.0% - 0s
0 0 1.58858 0 80 0.95692 1.58858 66.0% - 0s
0 0 1.58856 0 80 0.95692 1.58856 66.0% - 0s
0 0 1.58856 0 69 0.95692 1.58856 66.0% - 0s
0 2 1.58856 0 69 0.95692 1.58856 66.0% - 0s
* 1460 364 75 0.9586861 1.14948 19.9% 8.8 1s
Cutting planes:
Gomory: 18
Cover: 5
Implied bound: 37
Clique: 1
MIR: 17
Flow cover: 60
Flow path: 6
Inf proof: 33
Network: 1
Explored 3956 nodes (28168 simplex iterations) in 2.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.958686 0.956917
Optimal solution found (tolerance 1.00e-02)
Best objective 9.586861437020e-01, best bound 9.653592663242e-01, gap 0.6961%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb3zio6af.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5fg5oo2k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920928
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.727753e+00, 612 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72775 0 47 0.92093 1.72775 87.6% - 0s
0 0 1.59181 0 50 0.92093 1.59181 72.8% - 0s
0 0 1.59181 0 50 0.92093 1.59181 72.8% - 0s
0 0 1.58173 0 73 0.92093 1.58173 71.8% - 0s
0 0 1.57190 0 70 0.92093 1.57190 70.7% - 0s
0 0 1.55643 0 80 0.92093 1.55643 69.0% - 0s
0 0 1.54647 0 76 0.92093 1.54647 67.9% - 0s
0 0 1.54605 0 77 0.92093 1.54605 67.9% - 0s
0 0 1.53797 0 80 0.92093 1.53797 67.0% - 0s
0 0 1.53789 0 80 0.92093 1.53789 67.0% - 0s
0 0 1.52362 0 73 0.92093 1.52362 65.4% - 0s
0 0 1.52353 0 74 0.92093 1.52353 65.4% - 0s
0 0 1.52270 0 77 0.92093 1.52270 65.3% - 0s
0 0 1.52270 0 77 0.92093 1.52270 65.3% - 0s
0 2 1.52270 0 67 0.92093 1.52270 65.3% - 0s
Explored 3667 nodes (26229 simplex iterations) in 2.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.920928
Optimal solution found (tolerance 1.00e-02)
Best objective 9.209277591030e-01, best bound 9.216257626128e-01, gap 0.0758%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp81i63ise.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpemlnkjco.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.919758
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.726647e+00, 634 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72665 0 53 0.91976 1.72665 87.7% - 0s
0 0 1.60338 0 55 0.91976 1.60338 74.3% - 0s
0 0 1.60338 0 55 0.91976 1.60338 74.3% - 0s
0 0 1.59432 0 83 0.91976 1.59432 73.3% - 0s
0 0 1.58482 0 74 0.91976 1.58482 72.3% - 0s
0 0 1.57510 0 74 0.91976 1.57510 71.3% - 0s
0 0 1.56999 0 77 0.91976 1.56999 70.7% - 0s
0 0 1.56002 0 79 0.91976 1.56002 69.6% - 0s
0 0 1.55858 0 80 0.91976 1.55858 69.5% - 0s
0 0 1.55856 0 80 0.91976 1.55856 69.5% - 0s
0 0 1.55471 0 66 0.91976 1.55471 69.0% - 0s
0 0 1.55280 0 68 0.91976 1.55280 68.8% - 0s
0 0 1.55277 0 68 0.91976 1.55277 68.8% - 0s
0 0 1.54663 0 68 0.91976 1.54663 68.2% - 0s
0 0 1.54652 0 73 0.91976 1.54652 68.1% - 0s
0 0 1.54412 0 75 0.91976 1.54412 67.9% - 0s
0 0 1.54380 0 76 0.91976 1.54380 67.8% - 0s
0 0 1.54380 0 76 0.91976 1.54380 67.8% - 0s
0 2 1.54380 0 76 0.91976 1.54380 67.8% - 0s
* 3054 406 88 0.9218245 1.11761 21.2% 8.8 2s
H 4500 505 0.9218245 0.99840 8.31% 8.0 3s
H 4688 479 0.9236000 0.98863 7.04% 8.0 3s
H 4848 489 0.9236000 0.98069 6.18% 7.9 3s
Cutting planes:
Learned: 2
Explored 5777 nodes (44821 simplex iterations) in 4.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.9236 0.9236 0.921825 ... 0.919758
Optimal solution found (tolerance 1.00e-02)
Best objective 9.236000304018e-01, best bound 9.316488295867e-01, gap 0.8715%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp04bdt_7o.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3frq_u82.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.912552
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.702251e+00, 692 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70225 0 59 0.91255 1.70225 86.5% - 0s
0 0 1.67840 0 69 0.91255 1.67840 83.9% - 0s
0 0 1.66002 0 69 0.91255 1.66002 81.9% - 0s
0 0 1.63214 0 93 0.91255 1.63214 78.9% - 0s
0 0 1.62965 0 96 0.91255 1.62965 78.6% - 0s
0 0 1.59794 0 94 0.91255 1.59794 75.1% - 0s
0 0 1.59631 0 95 0.91255 1.59631 74.9% - 0s
0 0 1.59101 0 93 0.91255 1.59101 74.3% - 0s
0 0 1.59045 0 95 0.91255 1.59045 74.3% - 0s
0 0 1.59023 0 94 0.91255 1.59023 74.3% - 0s
0 0 1.59023 0 94 0.91255 1.59023 74.3% - 0s
0 0 1.58916 0 89 0.91255 1.58916 74.1% - 0s
0 0 1.58885 0 95 0.91255 1.58885 74.1% - 0s
0 0 1.58861 0 101 0.91255 1.58861 74.1% - 0s
0 0 1.58479 0 98 0.91255 1.58479 73.7% - 0s
0 0 1.58366 0 101 0.91255 1.58366 73.5% - 0s
0 0 1.58353 0 98 0.91255 1.58353 73.5% - 0s
0 0 1.58335 0 101 0.91255 1.58335 73.5% - 0s
0 0 1.58335 0 100 0.91255 1.58335 73.5% - 0s
0 0 1.58332 0 99 0.91255 1.58332 73.5% - 0s
0 0 1.58332 0 76 0.91255 1.58332 73.5% - 0s
0 2 1.58332 0 76 0.91255 1.58332 73.5% - 0s
H 2428 406 0.9129469 1.14244 25.1% 11.6 2s
Cutting planes:
Gomory: 7
Implied bound: 7
MIR: 6
Flow cover: 22
Flow path: 1
Inf proof: 1
Explored 4389 nodes (41763 simplex iterations) in 4.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.912947 0.912552
Optimal solution found (tolerance 1.00e-02)
Best objective 9.129469267657e-01, best bound 9.129469267657e-01, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb_h5h9xy.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp27o_44c4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.880553
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.699383e+00, 774 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69938 0 52 0.88055 1.69938 93.0% - 0s
0 0 1.67549 0 57 0.88055 1.67549 90.3% - 0s
0 0 1.67549 0 55 0.88055 1.67549 90.3% - 0s
0 0 1.66887 0 71 0.88055 1.66887 89.5% - 0s
0 0 1.66360 0 77 0.88055 1.66360 88.9% - 0s
0 0 1.63990 0 81 0.88055 1.63990 86.2% - 0s
0 0 1.63783 0 78 0.88055 1.63783 86.0% - 0s
0 0 1.61317 0 79 0.88055 1.61317 83.2% - 0s
0 0 1.61239 0 81 0.88055 1.61239 83.1% - 0s
0 0 1.60414 0 79 0.88055 1.60414 82.2% - 0s
0 0 1.60414 0 80 0.88055 1.60414 82.2% - 0s
0 0 1.60256 0 84 0.88055 1.60256 82.0% - 0s
0 0 1.60256 0 84 0.88055 1.60256 82.0% - 0s
0 0 1.60256 0 71 0.88055 1.60256 82.0% - 0s
0 0 1.60252 0 74 0.88055 1.60252 82.0% - 0s
0 0 1.60252 0 71 0.88055 1.60252 82.0% - 0s
0 0 1.60252 0 71 0.88055 1.60252 82.0% - 0s
0 2 1.60252 0 71 0.88055 1.60252 82.0% - 0s
* 691 408 110 0.8863686 1.28571 45.1% 10.9 1s
* 1249 465 112 0.8871312 1.21439 36.9% 10.8 2s
* 1253 442 113 0.8885780 1.21439 36.7% 10.8 2s
* 1255 422 112 0.8892222 1.21439 36.6% 10.7 2s
* 4264 23 80 0.8894133 0.90429 1.67% 8.6 4s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 10
MIR: 8
Flow cover: 20
Flow path: 2
Inf proof: 4
Explored 4328 nodes (38489 simplex iterations) in 4.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.889413 0.889222 0.888578 ... 0.880553
Optimal solution found (tolerance 1.00e-02)
Best objective 8.894132519994e-01, best bound 8.938787101221e-01, gap 0.5021%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpep4ud0a_.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl924hhwn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.873251
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.665967e+00, 843 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66597 0 54 0.87325 1.66597 90.8% - 0s
0 0 1.56851 0 62 0.87325 1.56851 79.6% - 0s
0 0 1.56851 0 63 0.87325 1.56851 79.6% - 0s
0 0 1.55296 0 89 0.87325 1.55296 77.8% - 0s
0 0 1.54660 0 88 0.87325 1.54660 77.1% - 0s
0 0 1.53916 0 93 0.87325 1.53916 76.3% - 0s
0 0 1.53684 0 94 0.87325 1.53684 76.0% - 0s
0 0 1.52981 0 98 0.87325 1.52981 75.2% - 0s
0 0 1.52980 0 99 0.87325 1.52980 75.2% - 0s
0 0 1.52916 0 93 0.87325 1.52916 75.1% - 0s
0 0 1.52916 0 72 0.87325 1.52916 75.1% - 0s
0 2 1.52916 0 72 0.87325 1.52916 75.1% - 0s
H 3502 169 0.8746547 0.93748 7.18% 9.8 3s
Explored 4096 nodes (40014 simplex iterations) in 3.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.874655 0.873251
Optimal solution found (tolerance 1.00e-02)
Best objective 8.746546693257e-01, best bound 8.746546693257e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpssb0nngf.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk1purvbg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.863332
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.667518e+00, 728 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66752 0 58 0.86333 1.66752 93.1% - 0s
0 0 1.61300 0 66 0.86333 1.61300 86.8% - 0s
0 0 1.61279 0 69 0.86333 1.61279 86.8% - 0s
0 0 1.57086 0 75 0.86333 1.57086 82.0% - 0s
0 0 1.56939 0 73 0.86333 1.56939 81.8% - 0s
0 0 1.54539 0 86 0.86333 1.54539 79.0% - 0s
0 0 1.54268 0 86 0.86333 1.54268 78.7% - 0s
0 0 1.54073 0 96 0.86333 1.54073 78.5% - 0s
0 0 1.54072 0 96 0.86333 1.54072 78.5% - 0s
0 0 1.53718 0 98 0.86333 1.53718 78.1% - 0s
0 0 1.53628 0 97 0.86333 1.53628 77.9% - 0s
0 0 1.53621 0 103 0.86333 1.53621 77.9% - 0s
0 0 1.53435 0 102 0.86333 1.53435 77.7% - 0s
0 0 1.53435 0 100 0.86333 1.53435 77.7% - 0s
0 0 1.53347 0 98 0.86333 1.53347 77.6% - 0s
0 0 1.53158 0 96 0.86333 1.53158 77.4% - 0s
0 0 1.53145 0 99 0.86333 1.53145 77.4% - 0s
0 0 1.53104 0 95 0.86333 1.53104 77.3% - 0s
0 0 1.53094 0 96 0.86333 1.53094 77.3% - 0s
0 0 1.53056 0 99 0.86333 1.53056 77.3% - 0s
0 0 1.53056 0 80 0.86333 1.53056 77.3% - 0s
0 2 1.53056 0 79 0.86333 1.53056 77.3% - 0s
* 1452 394 115 0.8671986 1.14654 32.2% 13.4 2s
* 1454 371 114 0.8682143 1.14654 32.1% 13.4 2s
H 4025 413 0.8696455 0.92762 6.67% 9.3 3s
H 4534 195 0.8703010 0.89929 3.33% 9.1 4s
Cutting planes:
Learned: 3
Explored 4961 nodes (46222 simplex iterations) in 4.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.870301 0.869645 0.868214 ... 0.863332
Optimal solution found (tolerance 1.00e-02)
Best objective 8.703009541401e-01, best bound 8.718180418527e-01, gap 0.1743%
Run 9
Seed for training 86
Seed for simulation 691
direc: array([[ -4.29052849, 2.02331912, 2.02331912],
[ 0. , 1. , 0. ],
[-10.88198084, 7.12252341, 12.3218424 ]])
fopt: 0.771286852868741
fun: -0.7710773035537598
message: 'Optimization terminated successfully.'
nfev: 466
nit: 7
status: 0
success: True
x: array([ 73.97853584, 163.06110258, 133.27581527])
xopt: array([ 74., 163., 134.])
zopt: array([ 74., 237., 371.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0nbvog98.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgb1yorpk.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.771287
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.572504e+00, 817 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57250 0 63 0.77129 1.57250 104% - 0s
0 0 1.55830 0 74 0.77129 1.55830 102% - 0s
0 0 1.55657 0 70 0.77129 1.55657 102% - 0s
0 0 1.45625 0 84 0.77129 1.45625 88.8% - 0s
0 0 1.44486 0 84 0.77129 1.44486 87.3% - 0s
0 0 1.43914 0 85 0.77129 1.43914 86.6% - 0s
0 0 1.43893 0 85 0.77129 1.43893 86.6% - 0s
0 0 1.43854 0 89 0.77129 1.43854 86.5% - 0s
0 0 1.43849 0 88 0.77129 1.43849 86.5% - 0s
0 0 1.43740 0 89 0.77129 1.43740 86.4% - 0s
0 0 1.43730 0 89 0.77129 1.43730 86.4% - 0s
0 0 1.43730 0 91 0.77129 1.43730 86.4% - 0s
0 0 1.43730 0 89 0.77129 1.43730 86.4% - 0s
0 0 1.43730 0 89 0.77129 1.43730 86.4% - 0s
0 0 1.43730 0 75 0.77129 1.43730 86.4% - 0s
0 2 1.43730 0 75 0.77129 1.43730 86.4% - 0s
* 3370 896 77 0.8041471 1.08486 34.9% 11.2 4s
* 3562 767 90 0.8981552 1.08000 20.2% 10.9 4s
3565 804 1.00499 33 46 0.89816 1.08000 20.2% 10.9 5s
* 4086 923 81 0.9017727 1.06789 18.4% 10.4 5s
* 4573 1066 90 0.9048986 1.05788 16.9% 10.0 5s
H 5047 1155 0.9137684 1.05049 15.0% 9.7 6s
* 5703 1213 78 0.9151490 1.03770 13.4% 9.5 7s
* 6515 1270 80 0.9163471 1.02699 12.1% 9.5 8s
8328 900 infeasible 54 0.91635 0.98397 7.38% 10.1 10s
Cutting planes:
Gomory: 22
Cover: 3
Implied bound: 21
Projected implied bound: 38
Clique: 1
MIR: 22
Flow cover: 62
Flow path: 1
Inf proof: 115
Explored 9845 nodes (104692 simplex iterations) in 11.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.916347 0.915149 0.913768 ... 0.771287
Optimal solution found (tolerance 0.00e+00)
Best objective 9.163471165867e-01, best bound 9.163471165867e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk2jdhn7h.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 2108 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpany_rcuk.gurobi.mst
Optimize a model with 631 rows, 541 columns and 2108 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 397 rows and 296 columns
Presolve time: 0.00s
Presolved: 234 rows, 245 columns, 990 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.9155847e+02 2.909361e+03 0.000000e+00 0s
166 1.6880383e+01 0.000000e+00 0.000000e+00 0s
Solved in 166 iterations and 0.01 seconds
Optimal objective 1.688038311e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.10929518, 0.02399477, 0.02399477]])
fopt: 0.1163261303669024
fun: -0.11719857315786053
message: 'Optimization terminated successfully.'
nfev: 239
nit: 3
status: 0
success: True
x: array([10. , -0.99999635, -0.99999635])
xopt: array([10., 0., 0.])
zopt: array([10., 10., 10.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.08058936, -0. , 0.00533666]])
fopt: 1.5502283104815058
fun: -1.5717782256004416
message: 'Optimization terminated successfully.'
nfev: 213
nit: 2
status: 0
success: True
x: array([31.0200015 , 1. , -0.99954062])
xopt: array([31., 1., 0.])
zopt: array([31., 32., 32.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.36134613, 0.01464025, 0.01550427]])
fopt: 1.7821436823778405
fun: -1.7962986019696778
message: 'Optimization terminated successfully.'
nfev: 144
nit: 2
status: 0
success: True
x: array([50.001443 , -0.98536879, -0.47131467])
xopt: array([50., 0., 0.])
zopt: array([50., 50., 50.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.29968315, 0.00877123, 0.39464329]])
fopt: 1.7790560845971317
fun: -1.7894241649956537
message: 'Optimization terminated successfully.'
nfev: 251
nit: 3
status: 0
success: True
x: array([ 69.03069285, -0.99118797, -83.97943968])
xopt: array([69., 0., 0.])
zopt: array([69., 69., 69.])
*******************************************
Period: 5
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.5723608596422987
fun: -1.5721210495625548
message: 'Optimization terminated successfully.'
nfev: 238
nit: 2
status: 0
success: True
x: array([83.78808188, 2.18788908, 1. ])
xopt: array([83., 2., 1.])
zopt: array([83., 85., 86.])
*******************************************
Period: 6
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.3032048695974123
fun: -1.303473977344494
message: 'Optimization terminated successfully.'
nfev: 218
nit: 2
status: 0
success: True
x: array([83.72896747, 3.38196603, 2. ])
xopt: array([83., 4., 2.])
zopt: array([83., 87., 89.])
*******************************************
Period: 7
direc: array([[-7.34604176e-09, -9.94895611e-18, 3.53145747e-17],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.76254600e-08, -1.29046241e-11, -3.49253444e+01]])
fopt: 1.2924166446434477
fun: -1.302657367381985
message: 'Optimization terminated successfully.'
nfev: 346
nit: 3
status: 0
success: True
x: array([114.15423577, 1.00000015, -63.8089243 ])
xopt: array([114., 1., 0.])
zopt: array([114., 115., 115.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.18149956e-06, -9.45647148e-10, -0.00000000e+00]])
fopt: 1.1888083440008947
fun: -1.1943794193720496
message: 'Optimization terminated successfully.'
nfev: 250
nit: 2
status: 0
success: True
x: array([131.35431515, 1.05650642, 1. ])
xopt: array([131., 1., 1.])
zopt: array([131., 132., 133.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.51918168e-04, -5.77798759e-06, -5.04774222e-07]])
fopt: 1.1052422178473225
fun: -1.1079350659137799
message: 'Optimization terminated successfully.'
nfev: 160
nit: 2
status: 0
success: True
x: array([153.18001801, 2.03146361, 1.09016856])
xopt: array([153., 2., 1.])
zopt: array([153., 155., 156.])
*******************************************
Period: 10
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.990802302620325
fun: -0.9911528706436763
message: 'Optimization terminated successfully.'
nfev: 221
nit: 2
status: 0
success: True
x: array([177.45247761, 1.00813062, 2. ])
xopt: array([177., 1., 2.])
zopt: array([177., 178., 180.])
*******************************************
Period: 11
direc: array([[-1.31004046e+00, -9.90993959e-08, -8.34935603e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.71534919e+00, -1.67583857e-06, 8.80302584e-01]])
fopt: 0.9369855496928533
fun: -0.9356959759715067
message: 'Optimization terminated successfully.'
nfev: 554
nit: 5
status: 0
success: True
x: array([194.97189904, 1.00226889, 4.06000483])
xopt: array([194., 1., 5.])
zopt: array([194., 195., 200.])
*******************************************
Period: 12
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.8293582078286132
fun: -0.8296942631936712
message: 'Optimization terminated successfully.'
nfev: 299
nit: 3
status: 0
success: True
x: array([218.24336325, 2.14589803, 1.09748049])
xopt: array([218., 2., 1.])
zopt: array([218., 220., 221.])
*******************************************
Period: 13
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.45151701e-01, 0.00000000e+00, -1.30256672e-09]])
fopt: 0.7427336766761649
fun: -0.7387545415244312
message: 'Optimization terminated successfully.'
nfev: 327
nit: 3
status: 0
success: True
x: array([239.7969083 , 1.14589315, 1.14589802])
xopt: array([239., 1., 2.])
zopt: array([239., 240., 242.])
*******************************************
Period: 14
direc: array([[-1.10201780e-09, 2.86131374e-10, 6.48950650e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.90488228e-01, 4.40424555e-10, 1.68986656e-08]])
fopt: 0.7585923734470705
fun: -0.7585628804341243
message: 'Optimization terminated successfully.'
nfev: 450
nit: 5
status: 0
success: True
x: array([236.16735787, 4. , 25.69332834])
xopt: array([236., 4., 25.])
zopt: array([236., 240., 265.])
*******************************************
Period: 15
direc: array([[5.17032599e-02, 2.15471771e-04, 4.35483291e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.96369855e-09, 6.17511551e+00, 1.23176374e+01]])
fopt: 0.6957182912898224
fun: -0.6891469315985767
message: 'Optimization terminated successfully.'
nfev: 353
nit: 5
status: 0
success: True
x: array([240.92924128, 16.84741956, 31.02115473])
xopt: array([240., 16., 32.])
zopt: array([240., 256., 288.])
*******************************************
Period: 16
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 8.60449238, 48.2713828 ]])
fopt: 0.7206175237927629
fun: -0.7170716541421205
message: 'Optimization terminated successfully.'
nfev: 383
nit: 5
status: 0
success: True
x: array([240.98565092, 10.14319997, 59.00405197])
xopt: array([240., 10., 60.])
zopt: array([240., 250., 310.])
*******************************************
Period: 17
direc: array([[ 2.48530158e-04, 1.96279800e+01, 4.20005649e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.6273193881820796
fun: -0.6295160214738299
message: 'Optimization terminated successfully.'
nfev: 493
nit: 6
status: 0
success: True
x: array([241.11055336, 22.00170284, 47.18030335])
xopt: array([241., 22., 47.])
zopt: array([241., 263., 310.])
*******************************************
Period: 18
direc: array([[ 3.07314677e-03, 1.22584780e-05, 1.17954039e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.38147704e-12, 2.10175193e+01, 1.40349547e+01]])
fopt: 0.5791396223817761
fun: -0.5755944699933617
message: 'Optimization terminated successfully.'
nfev: 695
nit: 8
status: 0
success: True
x: array([200.57265063, 109.00955464, 32.47704253])
xopt: array([200., 109., 33.])
zopt: array([200., 309., 342.])
*******************************************
Period: 19
direc: array([[-4.75007684e+00, 1.09860392e+01, 3.88659278e+00],
[ 5.58027537e-07, 9.99999774e-01, -2.45350250e-07],
[-3.77244167e-01, 1.11896471e+01, 3.96997939e+00]])
fopt: 1.03529064134256
fun: -1.0316435748838417
message: 'Optimization terminated successfully.'
nfev: 969
nit: 12
status: 0
success: True
x: array([ 88.55257772, 150.24147022, 122.00577104])
xopt: array([ 89., 150., 123.])
zopt: array([ 89., 239., 362.])
*******************************************
Period: 20
direc: array([[-3.71996828, 1.919978 , 1.96854711],
[ 0. , 1. , 0. ],
[15.48758472, 29.88454946, 28.57734667]])
fopt: 1.0208321202961281
fun: -1.0205184483879202
message: 'Optimization terminated successfully.'
nfev: 442
nit: 6
status: 0
success: True
x: array([ 86.97787212, 148. , 149.06980969])
xopt: array([ 87., 148., 149.])
zopt: array([ 87., 235., 384.])
*******************************************
Period: 21
direc: array([[-4.67742568e-04, 5.99166314e+00, -9.51677473e-05],
[ 9.07380366e+00, 1.95542172e+00, 1.98359240e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.1922718253256124
fun: -0.1930803368190646
message: 'Optimization terminated successfully.'
nfev: 755
nit: 8
status: 0
success: True
x: array([278.32758497, 27.01351802, 5.0002696 ])
xopt: array([278., 27., 5.])
zopt: array([278., 305., 310.])
*******************************************
Period: 22
direc: array([[2.77777225e-05, 1.05492925e-07, 2.48374525e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.80562643e-05, 1.01002763e+00, 1.01002777e+00]])
fopt: 0.3043409155543545
fun: -0.3024285138334193
message: 'Optimization terminated successfully.'
nfev: 562
nit: 6
status: 0
success: True
x: array([264.31524224, 63.0230437 , 63.37747611])
xopt: array([264., 63., 64.])
zopt: array([264., 327., 391.])
*******************************************
Period: 23
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.15473286525990923
fun: -0.15347861832320478
message: 'Optimization terminated successfully.'
nfev: 324
nit: 4
status: 0
success: True
x: array([305.95349664, 2.00491735, 2.00170995])
xopt: array([305., 2., 3.])
zopt: array([305., 307., 310.])
*******************************************
Period: 24
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[-0., 0., 0.]])
fopt: 0.18073202345925582
fun: -0.17831882745401545
message: 'Optimization terminated successfully.'
nfev: 402
nit: 4
status: 0
success: True
x: array([303.92612635, 3. , 3.29478743])
xopt: array([303., 3., 4.])
zopt: array([303., 306., 310.])
*******************************************
Period: 25
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.19225976259743127
fun: -0.190437935533629
message: 'Optimization terminated successfully.'
nfev: 398
nit: 4
status: 0
success: True
x: array([305.99576951, 2. , 2.00003286])
xopt: array([305., 2., 3.])
zopt: array([305., 307., 310.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.71867563e-03, -0.00000000e+00, -0.00000000e+00],
[ 2.44387707e-07, -6.37764000e-07, 5.29611910e-10]])
fopt: 0.19387437455055256
fun: -0.19212367209479253
message: 'Optimization terminated successfully.'
nfev: 550
nit: 5
status: 0
success: True
x: array([305.99999882, 2.00000345, 2.00010857])
xopt: array([305., 2., 3.])
zopt: array([305., 307., 310.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 1. ],
[-141.94807335, 0. , 182.04096495],
[ 0.28490722, 29.22498696, 29.31551672]])
fopt: 0.7950048101364108
fun: -0.7932711613683232
message: 'Optimization terminated successfully.'
nfev: 446
nit: 6
status: 0
success: True
x: array([173.66048238, 35.15618811, 205. ])
xopt: array([173., 36., 205.])
zopt: array([173., 209., 414.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.10091383e+02, -1.17891523e-03, 9.72655937e+01],
[ 2.77462017e-04, 3.82517760e+01, 5.73774189e+01]])
fopt: 0.806186318202851
fun: -0.8056728589032718
message: 'Optimization terminated successfully.'
nfev: 567
nit: 8
status: 0
success: True
x: array([154.17558038, 44.0230082 , 200. ])
xopt: array([154., 45., 200.])
zopt: array([154., 199., 399.])
*******************************************
Period: 29
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.18408310e+02, 0.00000000e+00, 1.14138330e+02],
[-9.76264082e-02, 4.22403863e+01, 4.06676262e+01]])
fopt: 0.802349707280537
fun: -0.801202947370472
message: 'Optimization terminated successfully.'
nfev: 607
nit: 8
status: 0
success: True
x: array([150.99999999, 55.00000001, 207.00002317])
xopt: array([150., 56., 207.])
zopt: array([150., 206., 413.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn8i134xz.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcn7_4275.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [6e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.00872446
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 0.116326 0.00872446
Optimal solution found (tolerance 1.00e-02)
Best objective 1.163261303669e-01, best bound 1.163261303669e-01, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3ptas8f5.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5d78ulc5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective -0.243433
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.557418e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.5574181 1.55742 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.55742 -0.243433
Optimal solution found (tolerance 1.00e-02)
Best objective 1.557418118137e+00, best bound 1.557418118137e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdwug3oty.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8146rthe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.703938
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.058532e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05853 0 3 0.70394 2.05853 192% - 0s
H 0 0 1.7821437 2.05853 15.5% - 0s
0 0 cutoff 0 1.78214 1.78214 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.78214 0.703938
Optimal solution found (tolerance 1.00e-02)
Best objective 1.782143682378e+00, best bound 1.782143682378e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprauce7mn.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpia6h_pfm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0954
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 2.185811e+00, 23 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.18581 0 4 1.09540 2.18581 100% - 0s
H 0 0 1.7790561 2.18581 22.9% - 0s
0 0 cutoff 0 1.77906 1.77906 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow path: 1
Explored 1 nodes (26 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.77906 1.0954
Optimal solution found (tolerance 1.00e-02)
Best objective 1.779056084597e+00, best bound 1.779056084597e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyj23bvp1.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpriim2ay3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29636
Presolve removed 161 rows and 112 columns
Presolve time: 0.00s
Presolved: 76 rows, 63 columns, 262 nonzeros
Variable types: 33 continuous, 30 integer (26 binary)
Root relaxation: objective 2.064408e+00, 41 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06441 0 9 1.29636 2.06441 59.2% - 0s
H 0 0 1.6330842 2.06441 26.4% - 0s
0 0 cutoff 0 1.63308 1.63308 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 3
Flow cover: 6
Explored 1 nodes (51 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.63308 1.29636
Optimal solution found (tolerance 1.00e-02)
Best objective 1.633084248101e+00, best bound 1.633084248101e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6b7zqwzb.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph7muserc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35341
Presolve removed 191 rows and 133 columns
Presolve time: 0.01s
Presolved: 92 rows, 75 columns, 327 nonzeros
Variable types: 42 continuous, 33 integer (30 binary)
Root relaxation: objective 1.585104e+00, 55 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45188 0 8 1.35341 1.45188 7.28% - 0s
H 0 0 1.3555618 1.45188 7.11% - 0s
0 0 cutoff 0 1.35556 1.35556 0.00% - 0s
Cutting planes:
Gomory: 4
Flow cover: 5
Explored 1 nodes (67 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35556 1.35341
Optimal solution found (tolerance 1.00e-02)
Best objective 1.355561766642e+00, best bound 1.355561766642e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuaqse7yt.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr2dnbvbb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08791
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.315893e+00, 115 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.31589 0 14 1.08791 2.31589 113% - 0s
H 0 0 1.2956935 2.31589 78.7% - 0s
0 0 2.01443 0 14 1.29569 2.01443 55.5% - 0s
0 0 1.77110 0 6 1.29569 1.77110 36.7% - 0s
H 0 0 1.4168773 1.77110 25.0% - 0s
0 0 1.76838 0 4 1.41688 1.76838 24.8% - 0s
0 0 1.76838 0 4 1.41688 1.76838 24.8% - 0s
0 0 1.75696 0 11 1.41688 1.75696 24.0% - 0s
0 0 1.75680 0 7 1.41688 1.75680 24.0% - 0s
0 0 1.75675 0 7 1.41688 1.75675 24.0% - 0s
0 0 1.75675 0 7 1.41688 1.75675 24.0% - 0s
0 2 1.75675 0 7 1.41688 1.75675 24.0% - 0s
H 4 3 1.4926039 1.62432 8.82% 4.5 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 3
Clique: 3
MIR: 1
Flow cover: 13
Explored 12 nodes (274 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.4926 1.41688 1.29569 1.08791
Optimal solution found (tolerance 1.00e-02)
Best objective 1.492603852251e+00, best bound 1.492603852251e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5baqkojx.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpchadpjon.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21628
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.239055e+00, 138 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23906 0 15 1.21628 2.23906 84.1% - 0s
0 0 1.87665 0 22 1.21628 1.87665 54.3% - 0s
0 0 1.86180 0 17 1.21628 1.86180 53.1% - 0s
0 0 1.86179 0 16 1.21628 1.86179 53.1% - 0s
0 0 1.74815 0 7 1.21628 1.74815 43.7% - 0s
H 0 0 1.3678428 1.74815 27.8% - 0s
0 0 1.74809 0 7 1.36784 1.74809 27.8% - 0s
0 0 1.73739 0 8 1.36784 1.73739 27.0% - 0s
0 0 1.73737 0 7 1.36784 1.73737 27.0% - 0s
0 0 1.73737 0 7 1.36784 1.73737 27.0% - 0s
0 2 1.73737 0 7 1.36784 1.73737 27.0% - 0s
* 18 3 6 1.4027619 1.54284 10.0% 6.4 0s
* 19 0 6 1.4318597 1.54284 7.75% 6.2 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 4
Clique: 1
MIR: 2
Flow cover: 15
Explored 21 nodes (372 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.43186 1.40276 1.36784 1.21628
Optimal solution found (tolerance 1.00e-02)
Best objective 1.431859654903e+00, best bound 1.431859654903e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7i1srt47.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphnepccsn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20986
Presolve removed 179 rows and 116 columns
Presolve time: 0.00s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.177880e+00, 189 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17788 0 16 1.20986 2.17788 80.0% - 0s
0 0 1.78848 0 26 1.20986 1.78848 47.8% - 0s
0 0 1.76903 0 21 1.20986 1.76903 46.2% - 0s
0 0 1.76899 0 20 1.20986 1.76899 46.2% - 0s
0 0 1.73681 0 10 1.20986 1.73681 43.6% - 0s
0 0 1.73681 0 11 1.20986 1.73681 43.6% - 0s
0 0 1.73385 0 9 1.20986 1.73385 43.3% - 0s
H 0 0 1.3394607 1.73385 29.4% - 0s
0 0 1.73312 0 10 1.33946 1.73312 29.4% - 0s
0 0 1.73312 0 10 1.33946 1.73312 29.4% - 0s
H 0 0 1.3608433 1.73312 27.4% - 0s
0 2 1.73312 0 10 1.36084 1.73312 27.4% - 0s
* 29 12 10 1.4063243 1.71281 21.8% 6.7 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 5
Clique: 3
MIR: 1
Flow cover: 18
Explored 68 nodes (831 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.40632 1.36084 1.33946 1.20986
Optimal solution found (tolerance 1.00e-02)
Best objective 1.406324339097e+00, best bound 1.406324339097e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkz3svl34.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0px_502b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19553
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.117598e+00, 191 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11760 0 18 1.19553 2.11760 77.1% - 0s
0 0 1.75363 0 18 1.19553 1.75363 46.7% - 0s
0 0 1.74070 0 20 1.19553 1.74070 45.6% - 0s
0 0 1.71091 0 21 1.19553 1.71091 43.1% - 0s
0 0 1.70033 0 19 1.19553 1.70033 42.2% - 0s
0 0 1.69615 0 24 1.19553 1.69615 41.9% - 0s
0 0 1.69553 0 19 1.19553 1.69553 41.8% - 0s
0 0 1.69550 0 23 1.19553 1.69550 41.8% - 0s
0 0 1.69541 0 21 1.19553 1.69541 41.8% - 0s
0 0 1.69230 0 21 1.19553 1.69230 41.6% - 0s
0 0 1.69089 0 21 1.19553 1.69089 41.4% - 0s
0 0 1.69028 0 21 1.19553 1.69028 41.4% - 0s
0 0 1.69000 0 22 1.19553 1.69000 41.4% - 0s
0 0 1.68981 0 21 1.19553 1.68981 41.3% - 0s
0 0 1.68977 0 22 1.19553 1.68977 41.3% - 0s
0 0 1.68977 0 24 1.19553 1.68977 41.3% - 0s
0 0 1.68973 0 21 1.19553 1.68973 41.3% - 0s
0 0 1.68973 0 21 1.19553 1.68973 41.3% - 0s
0 2 1.68973 0 21 1.19553 1.68973 41.3% - 0s
* 74 13 13 1.2847091 1.47200 14.6% 6.0 0s
* 89 16 12 1.3288168 1.44462 8.71% 5.4 0s
Cutting planes:
Gomory: 8
Cover: 4
Implied bound: 6
MIR: 3
Flow cover: 20
Explored 122 nodes (1014 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.32882 1.28471 1.19553
Optimal solution found (tolerance 1.00e-02)
Best objective 1.328816798764e+00, best bound 1.328816798764e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpphgk8yjo.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgn4wtc0r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13738
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.241101e+00, 245 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24110 0 20 1.13738 2.24110 97.0% - 0s
0 0 1.90965 0 22 1.13738 1.90965 67.9% - 0s
0 0 1.90505 0 18 1.13738 1.90505 67.5% - 0s
0 0 1.81809 0 26 1.13738 1.81809 59.8% - 0s
0 0 1.78455 0 30 1.13738 1.78455 56.9% - 0s
0 0 1.78171 0 30 1.13738 1.78171 56.7% - 0s
0 0 1.77659 0 32 1.13738 1.77659 56.2% - 0s
0 0 1.77659 0 33 1.13738 1.77659 56.2% - 0s
0 0 1.76040 0 34 1.13738 1.76040 54.8% - 0s
0 0 1.76039 0 34 1.13738 1.76039 54.8% - 0s
0 0 1.76030 0 34 1.13738 1.76030 54.8% - 0s
0 0 1.76030 0 34 1.13738 1.76030 54.8% - 0s
0 2 1.76030 0 33 1.13738 1.76030 54.8% - 0s
* 94 32 20 1.3176884 1.47597 12.0% 5.9 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 11
Clique: 1
MIR: 5
Flow cover: 25
Explored 147 nodes (1339 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.31769 1.13738
Optimal solution found (tolerance 1.00e-02)
Best objective 1.317688390382e+00, best bound 1.317688390382e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpivhj_elq.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg08dz6uy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13929
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.243457e+00, 286 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24346 0 23 1.13929 2.24346 96.9% - 0s
0 0 1.88194 0 23 1.13929 1.88194 65.2% - 0s
0 0 1.88177 0 23 1.13929 1.88177 65.2% - 0s
0 0 1.87215 0 26 1.13929 1.87215 64.3% - 0s
0 0 1.87207 0 29 1.13929 1.87207 64.3% - 0s
0 0 1.84517 0 32 1.13929 1.84517 62.0% - 0s
0 0 1.84515 0 32 1.13929 1.84515 62.0% - 0s
0 0 1.82269 0 30 1.13929 1.82269 60.0% - 0s
0 0 1.82132 0 30 1.13929 1.82132 59.9% - 0s
0 0 1.82132 0 30 1.13929 1.82132 59.9% - 0s
0 0 1.81578 0 37 1.13929 1.81578 59.4% - 0s
0 0 1.81473 0 34 1.13929 1.81473 59.3% - 0s
0 0 1.81473 0 34 1.13929 1.81473 59.3% - 0s
0 0 1.81473 0 34 1.13929 1.81473 59.3% - 0s
0 2 1.81473 0 32 1.13929 1.81473 59.3% - 0s
* 265 30 25 1.2884190 1.36966 6.31% 5.9 0s
* 373 12 24 1.3157808 1.33531 1.48% 5.4 0s
* 428 0 23 1.3250435 1.33510 0.76% 5.2 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 15
Clique: 3
MIR: 6
Flow cover: 25
Inf proof: 3
Explored 436 nodes (2767 simplex iterations) in 0.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.32504 1.31578 1.28842 1.13929
Optimal solution found (tolerance 1.00e-02)
Best objective 1.325043544825e+00, best bound 1.325043544825e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyoy_sxkj.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxktjvluk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16171
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.234002e+00, 327 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23400 0 26 1.16171 2.23400 92.3% - 0s
0 0 1.87116 0 30 1.16171 1.87116 61.1% - 0s
0 0 1.87098 0 29 1.16171 1.87098 61.1% - 0s
0 0 1.85758 0 32 1.16171 1.85758 59.9% - 0s
0 0 1.85758 0 32 1.16171 1.85758 59.9% - 0s
0 0 1.85280 0 35 1.16171 1.85280 59.5% - 0s
0 0 1.85251 0 30 1.16171 1.85251 59.5% - 0s
0 0 1.85251 0 30 1.16171 1.85251 59.5% - 0s
0 0 1.85245 0 35 1.16171 1.85245 59.5% - 0s
0 0 1.85245 0 28 1.16171 1.85245 59.5% - 0s
0 2 1.85245 0 28 1.16171 1.85245 59.5% - 0s
* 286 83 31 1.2310769 1.49439 21.4% 6.5 0s
* 381 40 30 1.3135317 1.37954 5.03% 5.9 0s
* 497 16 29 1.3397180 1.36155 1.63% 5.5 0s
Cutting planes:
Gomory: 13
Implied bound: 18
MIR: 4
Flow cover: 18
Inf proof: 7
Explored 532 nodes (3484 simplex iterations) in 0.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.33972 1.31353 1.23108 1.16171
Optimal solution found (tolerance 1.00e-02)
Best objective 1.339718048648e+00, best bound 1.339718048648e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk9vzy_8y.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy7e991s8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19965
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.189853e+00, 354 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.18985 0 29 1.19965 2.18985 82.5% - 0s
0 0 1.82927 0 31 1.19965 1.82927 52.5% - 0s
0 0 1.82177 0 32 1.19965 1.82177 51.9% - 0s
0 0 1.81784 0 32 1.19965 1.81784 51.5% - 0s
0 0 1.81518 0 33 1.19965 1.81518 51.3% - 0s
0 0 1.81512 0 31 1.19965 1.81512 51.3% - 0s
0 0 1.81202 0 34 1.19965 1.81202 51.0% - 0s
0 0 1.81202 0 34 1.19965 1.81202 51.0% - 0s
0 0 1.81202 0 35 1.19965 1.81202 51.0% - 0s
0 0 1.81202 0 33 1.19965 1.81202 51.0% - 0s
H 0 0 1.3036251 1.81202 39.0% - 0s
0 2 1.81202 0 31 1.30363 1.81202 39.0% - 0s
* 108 27 36 1.3147064 1.46234 11.2% 7.3 0s
Cutting planes:
Gomory: 15
Implied bound: 10
Clique: 1
MIR: 5
Flow cover: 24
Inf proof: 3
Explored 312 nodes (2715 simplex iterations) in 0.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31471 1.30363 1.19965
Optimal solution found (tolerance 1.00e-02)
Best objective 1.314706406653e+00, best bound 1.314706406653e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0bax8rtu.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpudapxw53.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18412
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.141984e+00, 373 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14198 0 32 1.18412 2.14198 80.9% - 0s
0 0 1.77410 0 34 1.18412 1.77410 49.8% - 0s
0 0 1.76711 0 33 1.18412 1.76711 49.2% - 0s
0 0 1.76389 0 31 1.18412 1.76389 49.0% - 0s
0 0 1.76088 0 31 1.18412 1.76088 48.7% - 0s
0 0 1.76084 0 35 1.18412 1.76084 48.7% - 0s
0 0 1.76025 0 37 1.18412 1.76025 48.7% - 0s
0 0 1.76014 0 37 1.18412 1.76014 48.6% - 0s
0 0 1.76014 0 38 1.18412 1.76014 48.6% - 0s
0 0 1.76014 0 38 1.18412 1.76014 48.6% - 0s
0 2 1.76014 0 38 1.18412 1.76014 48.6% - 0s
* 264 30 39 1.2712533 1.43425 12.8% 6.0 0s
Cutting planes:
Gomory: 16
Cover: 1
Implied bound: 11
Clique: 1
MIR: 10
Flow cover: 28
Inf proof: 4
Explored 506 nodes (3817 simplex iterations) in 0.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.27125 1.18412
Optimal solution found (tolerance 1.00e-02)
Best objective 1.271253255729e+00, best bound 1.279531257690e+00, gap 0.6512%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyt48eliz.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjmi0_k7n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14736
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.115695e+00, 341 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11569 0 33 1.14736 2.11569 84.4% - 0s
0 0 1.72346 0 42 1.14736 1.72346 50.2% - 0s
0 0 1.71690 0 43 1.14736 1.71690 49.6% - 0s
0 0 1.70373 0 41 1.14736 1.70373 48.5% - 0s
0 0 1.69641 0 38 1.14736 1.69641 47.9% - 0s
0 0 1.69631 0 42 1.14736 1.69631 47.8% - 0s
0 0 1.69536 0 45 1.14736 1.69536 47.8% - 0s
0 0 1.69526 0 45 1.14736 1.69526 47.8% - 0s
0 0 1.69525 0 46 1.14736 1.69525 47.8% - 0s
0 0 1.69525 0 35 1.14736 1.69525 47.8% - 0s
0 2 1.69525 0 35 1.14736 1.69525 47.8% - 0s
* 254 64 44 1.1975373 1.37114 14.5% 8.1 0s
* 616 24 36 1.2214729 1.26958 3.94% 6.7 0s
Cutting planes:
Gomory: 14
Implied bound: 14
Clique: 3
MIR: 8
Flow cover: 26
Inf proof: 3
Explored 723 nodes (5250 simplex iterations) in 0.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22147 1.19754 1.14736
Optimal solution found (tolerance 1.00e-02)
Best objective 1.221472898486e+00, best bound 1.221472898486e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuyiwtu8v.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7jo9rs6o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14141
Presolve removed 286 rows and 181 columns
Presolve time: 0.02s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.989706e+00, 417 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98971 0 34 1.14141 1.98971 74.3% - 0s
0 0 1.60721 0 30 1.14141 1.60721 40.8% - 0s
0 0 1.60709 0 30 1.14141 1.60709 40.8% - 0s
0 0 1.57133 0 42 1.14141 1.57133 37.7% - 0s
0 0 1.57029 0 43 1.14141 1.57029 37.6% - 0s
0 0 1.56997 0 44 1.14141 1.56997 37.5% - 0s
0 0 1.56894 0 44 1.14141 1.56894 37.5% - 0s
0 0 1.56894 0 39 1.14141 1.56894 37.5% - 0s
0 2 1.56894 0 39 1.14141 1.56894 37.5% - 0s
Cutting planes:
Gomory: 18
Cover: 1
Implied bound: 13
Clique: 3
MIR: 8
Flow cover: 21
Inf proof: 3
Explored 746 nodes (4594 simplex iterations) in 0.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.14141
Optimal solution found (tolerance 1.00e-02)
Best objective 1.141406280729e+00, best bound 1.148595775176e+00, gap 0.6299%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0iyb4o3n.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpowp_60o7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04447
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.015415e+00, 400 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01541 0 38 1.04447 2.01541 93.0% - 0s
0 0 1.65035 0 35 1.04447 1.65035 58.0% - 0s
0 0 1.63870 0 34 1.04447 1.63870 56.9% - 0s
0 0 1.59910 0 40 1.04447 1.59910 53.1% - 0s
0 0 1.59770 0 37 1.04447 1.59770 53.0% - 0s
0 0 1.59122 0 44 1.04447 1.59122 52.3% - 0s
0 0 1.58740 0 43 1.04447 1.58740 52.0% - 0s
0 0 1.58643 0 44 1.04447 1.58643 51.9% - 0s
0 0 1.58643 0 44 1.04447 1.58643 51.9% - 0s
0 0 1.58026 0 47 1.04447 1.58026 51.3% - 0s
0 0 1.57981 0 46 1.04447 1.57981 51.3% - 0s
0 0 1.57981 0 47 1.04447 1.57981 51.3% - 0s
0 0 1.57677 0 43 1.04447 1.57677 51.0% - 0s
0 0 1.57675 0 43 1.04447 1.57675 51.0% - 0s
0 0 1.57665 0 45 1.04447 1.57665 51.0% - 0s
0 0 1.57665 0 38 1.04447 1.57665 51.0% - 0s
0 2 1.57665 0 37 1.04447 1.57665 51.0% - 0s
* 400 146 46 1.0466540 1.37475 31.3% 8.0 0s
* 1221 251 48 1.0548066 1.22593 16.2% 7.1 0s
* 1333 170 49 1.1063664 1.22088 10.4% 6.9 1s
* 1354 125 43 1.1399589 1.22088 7.10% 6.9 1s
Cutting planes:
Gomory: 18
Cover: 4
Implied bound: 17
Clique: 1
MIR: 11
Flow cover: 37
Flow path: 1
Inf proof: 28
Explored 1603 nodes (11577 simplex iterations) in 1.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.13996 1.10637 1.05481 ... 1.04447
Optimal solution found (tolerance 1.00e-02)
Best objective 1.139958920947e+00, best bound 1.148201199829e+00, gap 0.7230%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz7t935zv.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4rva5nxw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04914
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.964225e+00, 499 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96422 0 43 1.04914 1.96422 87.2% - 0s
0 0 1.59842 0 42 1.04914 1.59842 52.4% - 0s
0 0 1.59831 0 42 1.04914 1.59831 52.3% - 0s
0 0 1.56096 0 42 1.04914 1.56096 48.8% - 0s
0 0 1.55960 0 45 1.04914 1.55960 48.7% - 0s
0 0 1.55940 0 45 1.04914 1.55940 48.6% - 0s
0 0 1.55852 0 51 1.04914 1.55852 48.6% - 0s
0 0 1.55852 0 42 1.04914 1.55852 48.6% - 0s
0 2 1.55852 0 41 1.04914 1.55852 48.6% - 0s
* 493 156 58 1.0772896 1.34447 24.8% 8.5 0s
* 1428 91 54 1.1001023 1.17506 6.81% 6.8 1s
* 1450 85 51 1.1051179 1.17338 6.18% 6.8 1s
* 1522 45 48 1.1075747 1.13943 2.88% 6.6 1s
* 1541 35 51 1.1103749 1.13882 2.56% 6.6 1s
Cutting planes:
Gomory: 23
Cover: 5
Implied bound: 19
Clique: 3
MIR: 9
Flow cover: 27
Inf proof: 18
Explored 1610 nodes (11263 simplex iterations) in 1.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.11037 1.10757 1.10512 ... 1.04914
Optimal solution found (tolerance 1.00e-02)
Best objective 1.110374927980e+00, best bound 1.110374927980e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiacbzqpg.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprzfaxvui.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01364
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.943613e+00, 448 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94361 0 45 1.01364 1.94361 91.7% - 0s
0 0 1.59144 0 45 1.01364 1.59144 57.0% - 0s
0 0 1.58620 0 44 1.01364 1.58620 56.5% - 0s
0 0 1.58520 0 52 1.01364 1.58520 56.4% - 0s
0 0 1.58157 0 52 1.01364 1.58157 56.0% - 0s
0 0 1.58151 0 49 1.01364 1.58151 56.0% - 0s
0 0 1.57938 0 53 1.01364 1.57938 55.8% - 0s
0 0 1.57938 0 57 1.01364 1.57938 55.8% - 0s
0 0 1.57938 0 49 1.01364 1.57938 55.8% - 0s
0 2 1.57938 0 49 1.01364 1.57938 55.8% - 0s
* 1578 225 56 1.0610346 1.16588 9.88% 6.0 1s
* 1579 182 55 1.0786848 1.16588 8.08% 6.0 1s
* 1893 83 51 1.0814826 1.12164 3.71% 5.6 1s
Cutting planes:
Gomory: 21
Cover: 3
Implied bound: 21
Clique: 3
MIR: 5
Flow cover: 27
Inf proof: 13
Explored 2033 nodes (11855 simplex iterations) in 1.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.08148 1.07868 1.06103 1.01364
Optimal solution found (tolerance 1.00e-02)
Best objective 1.081482574321e+00, best bound 1.082873588912e+00, gap 0.1286%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptwde7yka.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvie0_02q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00061
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.902296e+00, 574 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90230 0 48 1.00061 1.90230 90.1% - 0s
0 0 1.55365 0 55 1.00061 1.55365 55.3% - 0s
0 0 1.54865 0 54 1.00061 1.54865 54.8% - 0s
0 0 1.52462 0 50 1.00061 1.52462 52.4% - 0s
0 0 1.52186 0 48 1.00061 1.52186 52.1% - 0s
0 0 1.52156 0 52 1.00061 1.52156 52.1% - 0s
0 0 1.52156 0 52 1.00061 1.52156 52.1% - 0s
0 0 1.52122 0 55 1.00061 1.52122 52.0% - 0s
0 0 1.52115 0 55 1.00061 1.52115 52.0% - 0s
0 0 1.52115 0 58 1.00061 1.52115 52.0% - 0s
0 0 1.52115 0 52 1.00061 1.52115 52.0% - 0s
0 2 1.52115 0 52 1.00061 1.52115 52.0% - 0s
* 2051 317 60 1.0204320 1.13247 11.0% 6.9 1s
* 2460 80 58 1.0534447 1.08059 2.58% 6.4 1s
* 2523 28 55 1.0565104 1.07292 1.55% 6.3 1s
Cutting planes:
Gomory: 22
Cover: 1
Implied bound: 23
Clique: 1
MIR: 11
Flow cover: 32
Inf proof: 21
Explored 2546 nodes (17097 simplex iterations) in 1.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.05651 1.05344 1.02043 1.00061
Optimal solution found (tolerance 1.00e-02)
Best objective 1.056510382782e+00, best bound 1.063663494258e+00, gap 0.6771%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc6vsqrgc.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxpudqlqx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00937
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.815468e+00, 579 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81547 0 49 1.00937 1.81547 79.9% - 0s
0 0 1.48365 0 58 1.00937 1.48365 47.0% - 0s
0 0 1.47889 0 57 1.00937 1.47889 46.5% - 0s
0 0 1.45481 0 53 1.00937 1.45481 44.1% - 0s
0 0 1.45208 0 52 1.00937 1.45208 43.9% - 0s
0 0 1.45189 0 56 1.00937 1.45189 43.8% - 0s
0 0 1.45152 0 59 1.00937 1.45152 43.8% - 0s
0 0 1.45144 0 59 1.00937 1.45144 43.8% - 0s
0 0 1.45144 0 62 1.00937 1.45144 43.8% - 0s
0 0 1.45144 0 54 1.00937 1.45144 43.8% - 0s
0 2 1.45144 0 54 1.00937 1.45144 43.8% - 0s
Cutting planes:
Gomory: 20
Cover: 8
Implied bound: 26
Clique: 1
MIR: 11
Flow cover: 30
Inf proof: 35
Explored 2984 nodes (22927 simplex iterations) in 1.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00937
Optimal solution found (tolerance 1.00e-02)
Best objective 1.009365743863e+00, best bound 1.011569275585e+00, gap 0.2183%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7e49yisx.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdq3cz629.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.990988
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.751727e+00, 580 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75173 0 53 0.99099 1.75173 76.8% - 0s
0 0 1.46312 0 54 0.99099 1.46312 47.6% - 0s
0 0 1.46304 0 54 0.99099 1.46304 47.6% - 0s
0 0 1.43840 0 60 0.99099 1.43840 45.1% - 0s
0 0 1.43719 0 60 0.99099 1.43719 45.0% - 0s
0 0 1.43692 0 60 0.99099 1.43692 45.0% - 0s
0 0 1.43682 0 65 0.99099 1.43682 45.0% - 0s
0 0 1.43682 0 54 0.99099 1.43682 45.0% - 0s
0 2 1.43682 0 54 0.99099 1.43682 45.0% - 0s
* 1733 377 62 0.9909875 1.11484 12.5% 8.1 1s
* 3648 163 58 0.9910891 1.01768 2.68% 6.9 2s
Cutting planes:
Gomory: 21
Cover: 7
Implied bound: 28
Clique: 3
MIR: 14
Flow cover: 36
Inf proof: 42
Explored 3899 nodes (27019 simplex iterations) in 2.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.991089 0.990988 0.990988
Optimal solution found (tolerance 1.00e-02)
Best objective 9.910890915045e-01, best bound 9.998051714989e-01, gap 0.8794%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpal30jb_b.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbij6sgz6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97763
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.696991e+00, 685 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69699 0 58 0.97763 1.69699 73.6% - 0s
0 0 1.45017 0 58 0.97763 1.45017 48.3% - 0s
0 0 1.45007 0 58 0.97763 1.45007 48.3% - 0s
0 0 1.42684 0 60 0.97763 1.42684 45.9% - 0s
0 0 1.42405 0 58 0.97763 1.42405 45.7% - 0s
0 0 1.42299 0 66 0.97763 1.42299 45.6% - 0s
0 0 1.42291 0 68 0.97763 1.42291 45.5% - 0s
0 0 1.42032 0 67 0.97763 1.42032 45.3% - 0s
0 0 1.42032 0 67 0.97763 1.42032 45.3% - 0s
0 0 1.42032 0 68 0.97763 1.42032 45.3% - 0s
0 0 1.42032 0 57 0.97763 1.42032 45.3% - 0s
0 2 1.42032 0 54 0.97763 1.42032 45.3% - 0s
H 2400 335 0.9792799 1.07099 9.36% 9.7 3s
Cutting planes:
Gomory: 49
Cover: 6
Implied bound: 16
Projected implied bound: 21
Clique: 2
MIR: 11
Flow cover: 69
Flow path: 1
Inf proof: 24
Explored 2896 nodes (28709 simplex iterations) in 3.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.97928 0.97763
Optimal solution found (tolerance 1.00e-02)
Best objective 9.792799353375e-01, best bound 9.792799353375e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwgnq1hye.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuhclt36f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.965844
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.654754e+00, 693 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65475 0 55 0.96584 1.65475 71.3% - 0s
0 0 1.55837 0 57 0.96584 1.55837 61.3% - 0s
0 0 1.55418 0 58 0.96584 1.55418 60.9% - 0s
0 0 1.53367 0 67 0.96584 1.53367 58.8% - 0s
0 0 1.50399 0 68 0.96584 1.50399 55.7% - 0s
0 0 1.49987 0 63 0.96584 1.49987 55.3% - 0s
0 0 1.49987 0 64 0.96584 1.49987 55.3% - 0s
0 0 1.49764 0 65 0.96584 1.49764 55.1% - 0s
0 0 1.49761 0 65 0.96584 1.49761 55.1% - 0s
0 0 1.49760 0 65 0.96584 1.49760 55.1% - 0s
0 0 1.49760 0 54 0.96584 1.49760 55.1% - 0s
0 2 1.49760 0 54 0.96584 1.49760 55.1% - 0s
* 573 256 95 0.9663989 1.25486 29.8% 8.6 0s
Cutting planes:
Learned: 4
Gomory: 10
Implied bound: 6
Clique: 1
MIR: 6
Flow cover: 6
Flow path: 1
Inf proof: 2
Explored 3198 nodes (26429 simplex iterations) in 2.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.966399 0.965844
Optimal solution found (tolerance 1.00e-02)
Best objective 9.663989027385e-01, best bound 9.663989027385e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl0zrsfkj.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph0wb0g6z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.944966
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.640947e+00, 703 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64095 0 54 0.94497 1.64095 73.7% - 0s
0 0 1.53667 0 63 0.94497 1.53667 62.6% - 0s
0 0 1.53264 0 62 0.94497 1.53264 62.2% - 0s
0 0 1.40504 0 61 0.94497 1.40504 48.7% - 0s
0 0 1.40367 0 60 0.94497 1.40367 48.5% - 0s
0 0 1.40324 0 62 0.94497 1.40324 48.5% - 0s
0 0 1.39984 0 64 0.94497 1.39984 48.1% - 0s
0 0 1.39942 0 64 0.94497 1.39942 48.1% - 0s
0 0 1.39942 0 65 0.94497 1.39942 48.1% - 0s
0 0 1.39674 0 65 0.94497 1.39674 47.8% - 0s
0 0 1.39667 0 67 0.94497 1.39667 47.8% - 0s
0 0 1.39667 0 63 0.94497 1.39667 47.8% - 0s
0 2 1.39667 0 63 0.94497 1.39667 47.8% - 0s
* 2931 580 77 0.9540870 1.03228 8.20% 9.2 3s
* 3160 464 71 0.9550563 0.98688 3.33% 9.1 3s
H 3447 224 0.9565631 0.96141 0.51% 9.0 3s
Cutting planes:
Learned: 2
Gomory: 40
Cover: 6
Implied bound: 15
Projected implied bound: 20
Clique: 3
MIR: 12
Flow cover: 37
Flow path: 1
Inf proof: 14
Explored 3476 nodes (32413 simplex iterations) in 3.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.956563 0.955056 0.954087 0.944966
Optimal solution found (tolerance 1.00e-02)
Best objective 9.565631062033e-01, best bound 9.592414900287e-01, gap 0.2800%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg_fk_mrk.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzvd3ot7k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923659
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.622734e+00, 658 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62273 0 59 0.92366 1.62273 75.7% - 0s
0 0 1.52483 0 69 0.92366 1.52483 65.1% - 0s
0 0 1.52474 0 68 0.92366 1.52474 65.1% - 0s
0 0 1.38856 0 67 0.92366 1.38856 50.3% - 0s
0 0 1.37796 0 68 0.92366 1.37796 49.2% - 0s
0 0 1.37666 0 77 0.92366 1.37666 49.0% - 0s
0 0 1.37659 0 70 0.92366 1.37659 49.0% - 0s
0 0 1.37374 0 70 0.92366 1.37374 48.7% - 0s
0 0 1.37367 0 70 0.92366 1.37367 48.7% - 0s
0 0 1.37367 0 71 0.92366 1.37367 48.7% - 0s
0 0 1.37364 0 72 0.92366 1.37364 48.7% - 0s
0 0 1.37364 0 72 0.92366 1.37364 48.7% - 0s
0 0 1.37364 0 61 0.92366 1.37364 48.7% - 0s
0 2 1.37364 0 61 0.92366 1.37364 48.7% - 0s
* 895 349 95 0.9280992 1.13110 21.9% 9.3 1s
Cutting planes:
Learned: 1
Gomory: 32
Cover: 10
Implied bound: 18
Projected implied bound: 28
Clique: 4
MIR: 15
Flow cover: 57
Flow path: 1
Inf proof: 37
Explored 4719 nodes (45860 simplex iterations) in 5.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.928099 0.923659
Optimal solution found (tolerance 1.00e-02)
Best objective 9.280991501269e-01, best bound 9.359540318133e-01, gap 0.8463%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_1iyyv20.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpylc9jwx5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.91568
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.589797e+00, 807 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58980 0 62 0.91568 1.58980 73.6% - 0s
0 0 1.50580 0 70 0.91568 1.50580 64.4% - 0s
0 0 1.50564 0 70 0.91568 1.50564 64.4% - 0s
0 0 1.38407 0 68 0.91568 1.38407 51.2% - 0s
0 0 1.38407 0 68 0.91568 1.38407 51.2% - 0s
0 0 1.38218 0 73 0.91568 1.38218 50.9% - 0s
0 0 1.38210 0 74 0.91568 1.38210 50.9% - 0s
0 0 1.37994 0 77 0.91568 1.37994 50.7% - 0s
0 0 1.37994 0 76 0.91568 1.37994 50.7% - 0s
0 0 1.37993 0 75 0.91568 1.37993 50.7% - 0s
0 0 1.37993 0 65 0.91568 1.37993 50.7% - 0s
0 2 1.37993 0 65 0.91568 1.37993 50.7% - 0s
* 306 203 119 0.9157218 1.24228 35.7% 8.4 0s
* 311 203 118 0.9158194 1.24228 35.6% 8.4 0s
* 313 203 117 0.9158426 1.24228 35.6% 8.3 0s
4718 619 infeasible 50 0.91584 0.93969 2.60% 8.7 5s
Cutting planes:
Learned: 1
Gomory: 25
Cover: 6
Implied bound: 18
Projected implied bound: 25
Clique: 3
MIR: 12
Flow cover: 57
Flow path: 1
Inf proof: 28
Explored 5579 nodes (49111 simplex iterations) in 5.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.915843 0.915819 0.915722 0.91568
Optimal solution found (tolerance 1.00e-02)
Best objective 9.158425992817e-01, best bound 9.246607592624e-01, gap 0.9628%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppuxp67ls.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp00p039if.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.90153
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.551356e+00, 744 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55136 0 63 0.90153 1.55136 72.1% - 0s
0 0 1.46997 0 71 0.90153 1.46997 63.1% - 0s
0 0 1.46989 0 70 0.90153 1.46989 63.0% - 0s
0 0 1.34181 0 66 0.90153 1.34181 48.8% - 0s
0 0 1.34181 0 65 0.90153 1.34181 48.8% - 0s
0 0 1.33946 0 71 0.90153 1.33946 48.6% - 0s
0 0 1.33935 0 71 0.90153 1.33935 48.6% - 0s
0 0 1.33935 0 69 0.90153 1.33935 48.6% - 0s
0 0 1.33935 0 60 0.90153 1.33935 48.6% - 0s
0 2 1.33935 0 60 0.90153 1.33935 48.6% - 0s
4147 495 0.91353 50 57 0.90153 0.93845 4.10% 11.1 5s
Cutting planes:
Learned: 1
Gomory: 33
Cover: 2
Implied bound: 20
Projected implied bound: 38
MIR: 22
Flow cover: 52
Flow path: 1
Inf proof: 38
Explored 6275 nodes (64208 simplex iterations) in 6.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.90153
Optimal solution found (tolerance 1.00e-02)
Best objective 9.015302417998e-01, best bound 9.101287483055e-01, gap 0.9538%
Period 45
Run 0
Seed for training 72
Seed for simulation 493
direc: array([[-249.96559201, 125.2239795 , 255.39467923],
[ 0. , 1. , 0. ],
[ 3.48777253, -12.13129949, -22.99337011]])
fopt: 0.765616457881622
fun: -0.7642499026090139
message: 'Optimization terminated successfully.'
nfev: 496
nit: 7
status: 0
success: True
x: array([115.77481286, 82. , 202.27085825])
xopt: array([115., 82., 203.])
zopt: array([115., 197., 400.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8omw1eq3.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpka0okild.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.765616
Presolve removed 650 rows and 405 columns
Presolve time: 0.03s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.259393e+00, 1195 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25939 0 118 0.76562 1.25939 64.5% - 0s
0 0 1.22974 0 123 0.76562 1.22974 60.6% - 0s
0 0 1.22883 0 117 0.76562 1.22883 60.5% - 0s
0 0 1.20421 0 159 0.76562 1.20421 57.3% - 0s
0 0 1.20249 0 163 0.76562 1.20249 57.1% - 0s
0 0 1.19834 0 179 0.76562 1.19834 56.5% - 0s
0 0 1.19648 0 179 0.76562 1.19648 56.3% - 0s
0 0 1.19001 0 182 0.76562 1.19001 55.4% - 0s
0 0 1.19001 0 181 0.76562 1.19001 55.4% - 0s
0 0 1.18891 0 171 0.76562 1.18891 55.3% - 0s
0 0 1.18884 0 175 0.76562 1.18884 55.3% - 0s
0 0 1.18726 0 180 0.76562 1.18726 55.1% - 0s
0 0 1.18725 0 180 0.76562 1.18725 55.1% - 0s
0 0 1.18694 0 188 0.76562 1.18694 55.0% - 0s
0 0 1.18693 0 188 0.76562 1.18693 55.0% - 0s
0 0 1.18685 0 189 0.76562 1.18685 55.0% - 0s
0 0 1.18685 0 189 0.76562 1.18685 55.0% - 0s
0 0 1.18621 0 186 0.76562 1.18621 54.9% - 0s
0 0 1.18621 0 186 0.76562 1.18621 54.9% - 0s
0 0 1.18281 0 195 0.76562 1.18281 54.5% - 0s
0 0 1.18151 0 191 0.76562 1.18151 54.3% - 0s
0 0 1.17807 0 192 0.76562 1.17807 53.9% - 0s
0 0 1.17747 0 194 0.76562 1.17747 53.8% - 0s
0 0 1.17745 0 195 0.76562 1.17745 53.8% - 0s
0 0 1.17745 0 195 0.76562 1.17745 53.8% - 0s
0 0 1.17745 0 195 0.76562 1.17745 53.8% - 0s
0 0 1.17745 0 123 0.76562 1.17745 53.8% - 0s
0 0 1.17745 0 124 0.76562 1.17745 53.8% - 0s
0 0 1.17745 0 123 0.76562 1.17745 53.8% - 0s
0 0 1.17745 0 123 0.76562 1.17745 53.8% - 0s
0 2 1.17745 0 123 0.76562 1.17745 53.8% - 0s
1284 667 0.94485 41 123 0.76562 1.06906 39.6% 16.9 5s
H 2356 834 0.7861107 1.04980 33.5% 15.0 6s
H 2937 1054 0.7861107 1.03518 31.7% 15.3 8s
H 2938 1054 0.7869344 1.03518 31.5% 15.4 8s
* 4393 1390 158 0.7869369 1.01083 28.5% 14.5 9s
* 4396 1390 158 0.7870433 1.01083 28.4% 14.5 9s
4486 1390 0.91791 40 94 0.78704 1.00324 27.5% 14.5 10s
* 6127 1567 171 0.7882335 0.95738 21.5% 12.7 11s
* 7292 1941 130 0.7909467 0.94712 19.7% 11.8 12s
H 7575 2082 0.7926502 0.94150 18.8% 11.7 13s
H 7598 2055 0.7961814 0.94150 18.3% 11.7 13s
H 7600 2053 0.7965371 0.94131 18.2% 11.7 13s
8554 2206 0.88036 61 87 0.79654 0.93060 16.8% 11.6 15s
13897 3372 0.90000 54 77 0.79654 0.90279 13.3% 11.3 20s
18387 4274 infeasible 69 0.79654 0.88598 11.2% 11.4 25s
20486 4573 0.83165 65 123 0.79654 0.87865 10.3% 11.5 40s
20502 4584 0.79975 113 186 0.79654 0.87865 10.3% 11.5 45s
20510 4589 0.83053 139 196 0.79654 0.87865 10.3% 11.5 50s
20517 4594 0.82477 69 218 0.79654 0.87865 10.3% 11.5 55s
20524 4598 0.80337 71 222 0.79654 0.87865 10.3% 11.5 60s
20533 4604 0.81966 82 217 0.79654 0.87865 10.3% 11.5 65s
20541 4610 0.79944 121 228 0.79654 0.87865 10.3% 11.5 70s
20550 4616 0.86509 75 221 0.79654 0.87865 10.3% 11.5 75s
20558 4621 0.82189 91 221 0.79654 0.87865 10.3% 11.5 80s
20565 4626 0.80089 116 226 0.79654 0.87865 10.3% 11.5 85s
20572 4630 0.85743 52 217 0.79654 0.87865 10.3% 11.5 90s
20580 4636 0.86811 57 237 0.79654 0.87865 10.3% 11.5 95s
20585 4639 0.84537 84 241 0.79654 0.87865 10.3% 11.5 100s
20590 4642 0.84001 91 238 0.79654 0.87865 10.3% 11.5 105s
20598 4648 0.82768 98 235 0.79654 0.87865 10.3% 11.5 110s
20607 4654 0.85299 84 237 0.79654 0.87865 10.3% 11.5 115s
20616 4660 0.84271 75 242 0.79654 0.87865 10.3% 11.5 120s
20621 4663 0.85159 69 245 0.79654 0.87865 10.3% 11.5 125s
20624 4666 0.87865 19 236 0.79654 0.87865 10.3% 12.6 131s
20632 4667 0.87865 23 223 0.79654 0.87865 10.3% 12.7 135s
H20683 4429 0.7965371 0.87865 10.3% 13.1 138s
20711 4423 infeasible 29 0.79654 0.87865 10.3% 13.4 142s
20799 4410 infeasible 32 0.79654 0.87865 10.3% 14.5 145s
21108 4362 0.84571 41 170 0.79654 0.87865 10.3% 16.1 150s
21736 4334 0.87865 54 160 0.79654 0.87865 10.3% 17.5 155s
22262 4331 infeasible 77 0.79654 0.87865 10.3% 18.3 160s
23451 4356 infeasible 55 0.79654 0.87865 10.3% 19.4 165s
24534 4278 0.84917 59 114 0.79654 0.86457 8.54% 20.6 170s
25722 4127 0.84672 56 126 0.79654 0.85599 7.46% 21.6 178s
25789 4123 0.83875 57 126 0.79654 0.85467 7.30% 21.6 180s
27315 3938 0.84456 61 97 0.79654 0.84736 6.38% 22.2 185s
28591 3694 0.83568 72 76 0.79654 0.84041 5.51% 22.8 190s
30195 3419 0.83322 68 64 0.79654 0.83499 4.83% 23.3 195s
31896 2959 0.83016 74 86 0.79654 0.83206 4.46% 23.6 201s
33407 2470 0.82877 70 67 0.79654 0.82877 4.05% 24.0 206s
34509 2227 cutoff 76 0.79654 0.82598 3.70% 24.3 210s
36054 2061 infeasible 59 0.79654 0.82211 3.21% 24.6 215s
37386 1840 infeasible 82 0.79654 0.81892 2.81% 24.9 221s
38596 1607 0.81449 78 45 0.79654 0.81576 2.41% 25.2 225s
40034 1183 cutoff 89 0.79654 0.81178 1.91% 25.6 230s
41468 755 infeasible 74 0.79654 0.80760 1.39% 25.7 235s
Cutting planes:
Learned: 4
Gomory: 191
Cover: 18
Implied bound: 48
Projected implied bound: 48
Clique: 7
MIR: 171
StrongCG: 4
Flow cover: 583
Flow path: 1
GUB cover: 1
Inf proof: 159
Zero half: 1
Explored 43039 nodes (1109478 simplex iterations) in 239.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.796537 0.796537 0.796181 ... 0.786111
Optimal solution found (tolerance 0.00e+00)
Best objective 7.965371241930e-01, best bound 7.965371241930e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvdvtwswv.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqtkuwfvt.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 572 rows and 427 columns
Presolve time: 0.00s
Presolved: 374 rows, 384 columns, 1599 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.7905477e+02 7.283234e+03 0.000000e+00 0s
269 1.5893668e+01 0.000000e+00 0.000000e+00 0s
Solved in 269 iterations and 0.01 seconds
Optimal objective 1.589366800e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.13197123e-07, -1.07040399e-08, -4.81605806e-07]])
fopt: 3.3842025673175256
fun: -3.393988820859654
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([ 22.15035505, -1. , -87.99580146])
xopt: array([22., 0., 0.])
zopt: array([22., 22., 22.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.41337590e-02, -8.74910306e-04, -9.34067455e-04]])
fopt: 1.8101003607395585
fun: -1.8183572212650878
message: 'Optimization terminated successfully.'
nfev: 213
nit: 3
status: 0
success: True
x: array([50.92474223, -0.99992252, -0.98899657])
xopt: array([51., 0., 0.])
zopt: array([51., 51., 51.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.13012868, 0.16012676, 0.00287924]])
fopt: 1.7650741778588466
fun: -1.7789830339430108
message: 'Optimization terminated successfully.'
nfev: 196
nit: 3
status: 0
success: True
x: array([ 74.00002321, -86.99591245, -0.67680469])
xopt: array([74., 0., 0.])
zopt: array([74., 74., 74.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.15009621e-09, -4.32722094e-11, -1.84636368e-09]])
fopt: 1.4925660864391468
fun: -1.5004233621077612
message: 'Optimization terminated successfully.'
nfev: 241
nit: 3
status: 0
success: True
x: array([ 99.7329308 , -0.98785059, -81.99708634])
xopt: array([100., 0., 0.])
zopt: array([100., 100., 100.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.65747958e-01, -6.53801023e-05, -0.00000000e+00]])
fopt: 1.2371760059994328
fun: -1.234347536993745
message: 'Optimization terminated successfully.'
nfev: 236
nit: 2
status: 0
success: True
x: array([125.99745966, 1.01752809, 1. ])
xopt: array([125., 2., 1.])
zopt: array([125., 127., 128.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.13894090e-01, -1.95207238e-06, -0.00000000e+00]])
fopt: 1.1630746864076564
fun: -1.1665593669008245
message: 'Optimization terminated successfully.'
nfev: 256
nit: 2
status: 0
success: True
x: array([143.15896908, 1.00243651, 1. ])
xopt: array([143., 1., 1.])
zopt: array([143., 144., 145.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1471
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1528
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1460
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.31430984e-03, 1.02494991e-05, 2.04989984e-05]])
fopt: 0.9441667068662956
fun: -0.9466993003768137
message: 'Optimization terminated successfully.'
nfev: 338
nit: 3
status: 0
success: True
x: array([ 2.26795043e+02, 1.02719598e-05, -9.93007823e-01])
xopt: array([226., 1., 0.])
zopt: array([226., 227., 227.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.69456585e-03, 3.62924885e-05, 3.62924885e-05]])
fopt: 0.8824165384788165
fun: -0.8810003533522324
message: 'Optimization terminated successfully.'
nfev: 165
nit: 2
status: 0
success: True
x: array([240.57593595, 2.00002772, 2.02131396])
xopt: array([240., 2., 2.])
zopt: array([240., 242., 244.])
*******************************************
Period: 12
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.7949855772130029
fun: -0.7962674567599535
message: 'Optimization terminated successfully.'
nfev: 218
nit: 2
status: 0
success: True
x: array([259.20610441, 1.00121823, 1.00030028])
xopt: array([259., 1., 1.])
zopt: array([259., 260., 261.])
*******************************************
Period: 13
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.10868055e-02, 8.21121713e-05, 9.49016629e-05]])
fopt: 0.7371526985629305
fun: -0.7339964955096011
message: 'Optimization terminated successfully.'
nfev: 215
nit: 2
status: 0
success: True
x: array([257.82595741, 2.00008159, 2.15585122])
xopt: array([257., 2., 2.])
zopt: array([257., 259., 261.])
*******************************************
Period: 14
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.30009090e-04, 3.23089367e-06, 3.23089367e-06]])
fopt: 0.6664319190352788
fun: -0.6623591497291831
message: 'Optimization terminated successfully.'
nfev: 336
nit: 4
status: 0
success: True
x: array([257.89937831, 1.005857 , 3.61806586])
xopt: array([257., 1., 3.])
zopt: array([257., 258., 261.])
*******************************************
Period: 15
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.15315730e-08, 4.53947555e-11, 6.53455563e-13]])
fopt: 0.5758458831631457
fun: -0.5730836638998946
message: 'Optimization terminated successfully.'
nfev: 201
nit: 2
status: 0
success: True
x: array([257.95452577, 2.0114012 , 1.01456075])
xopt: array([257., 2., 2.])
zopt: array([257., 259., 261.])
*******************************************
Period: 16
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.82408431e-08, 8.56684048e-11, 1.42939386e-18]])
fopt: 0.5172537954039058
fun: -0.513873015990452
message: 'Optimization terminated successfully.'
nfev: 249
nit: 2
status: 0
success: True
x: array([257.97680189, 2.20689557, 1.00000002])
xopt: array([257., 2., 2.])
zopt: array([257., 259., 261.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 1. ],
[ 0. , 0. , 0. ],
[ 0. , -0.0360373 , 0.02163036]])
fopt: 0.4250660867534196
fun: -0.42616396255732725
message: 'Optimization terminated successfully.'
nfev: 279
nit: 4
status: 0
success: True
x: array([258.68053017, -0.65125596, 5.00279848])
xopt: array([258., 0., 6.])
zopt: array([258., 258., 264.])
*******************************************
Period: 18
direc: array([[ 8.35926215e-06, 1.00000000e+00, 9.99991821e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.77202758e+00, 2.00000000e+00, 5.66925098e+00]])
fopt: 0.8703288807111222
fun: -0.870286872494954
message: 'Optimization terminated successfully.'
nfev: 1068
nit: 14
status: 0
success: True
x: array([167.01941306, 43.00000004, 165.04670635])
xopt: array([167., 43., 165.])
zopt: array([167., 210., 375.])
*******************************************
Period: 19
direc: array([[ 0. , -0. , 0. ],
[ 0. , -0. , 0. ],
[ 0. , 0. , 56.18086371]])
fopt: 0.556680185531806
fun: -0.7456724961035908
message: 'Optimization terminated successfully.'
nfev: 681
nit: 11
status: 0
success: True
x: array([259.95295169, -37.39921838, 162.00001505])
xopt: array([259., 0., 162.])
zopt: array([259., 259., 421.])
*******************************************
Period: 20
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 0.97817467]])
fopt: 0.21854575339646887
fun: -0.22027350564168327
message: 'Optimization terminated successfully.'
nfev: 583
nit: 7
status: 0
success: True
x: array([258.10186822, 2.00616185, 8.00146076])
xopt: array([258., 2., 9.])
zopt: array([258., 260., 269.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -2.06923290e-06, 1.00286858e+02]])
fopt: 0.2643846704337055
fun: -0.6307502962695617
message: 'Optimization terminated successfully.'
nfev: 485
nit: 7
status: 0
success: True
x: array([300.56440108, -73.99999898, 180.00000494])
xopt: array([300., 0., 180.])
zopt: array([300., 300., 480.])
*******************************************
Period: 22
direc: array([[-1.50103138e+00, -0.00000000e+00, -5.94236600e-03],
[-2.91744496e+01, -1.55323391e+01, 4.61177056e+01],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7406418328362668
fun: -0.739147339808218
message: 'Optimization terminated successfully.'
nfev: 719
nit: 10
status: 0
success: True
x: array([155.07409215, 58.00236114, 174.00028728])
xopt: array([155., 59., 175.])
zopt: array([155., 214., 389.])
*******************************************
Period: 23
direc: array([[2.84414703e-07, 9.49068061e-10, 9.60193393e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.22573474781858355
fun: -0.22498026099083043
message: 'Optimization terminated successfully.'
nfev: 681
nit: 6
status: 0
success: True
x: array([300.67787893, 2. , 5.04165066])
xopt: array([300., 2., 6.])
zopt: array([300., 302., 308.])
*******************************************
Period: 24
direc: array([[-2.67676722e+00, -0.00000000e+00, -8.98497783e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.39168873e+00, 3.86196288e-10, 9.63265528e-01]])
fopt: 0.23627479751005398
fun: -0.23667179043027037
message: 'Optimization terminated successfully.'
nfev: 770
nit: 7
status: 0
success: True
x: array([296.00013641, 2.00009304, 5.01017013])
xopt: array([296., 2., 6.])
zopt: array([296., 298., 304.])
*******************************************
Period: 25
direc: array([[2.56226883e-03, 0.00000000e+00, 8.47566959e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.2173764418951014
fun: -0.21716694532547567
message: 'Optimization terminated successfully.'
nfev: 428
nit: 3
status: 0
success: True
x: array([303.31128225, 1. , 3.00000848])
xopt: array([303., 1., 4.])
zopt: array([303., 304., 308.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 100.74844455]])
fopt: 0.4170059485067708
fun: -0.41642859449286007
message: 'Optimization terminated successfully.'
nfev: 505
nit: 6
status: 0
success: True
x: array([301.72105284, -0.38719074, 106.00138775])
xopt: array([301., 0., 107.])
zopt: array([301., 301., 408.])
*******************************************
Period: 27
direc: array([[3.49398876e-02, 1.17261704e-04, 1.17261704e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 4.10800900e-01, 1.01062259e+02]])
fopt: 0.6059619348873442
fun: -0.6035427879213698
message: 'Optimization terminated successfully.'
nfev: 755
nit: 8
status: 0
success: True
x: array([241.83825527, 2.00006193, 164.04132998])
xopt: array([241., 2., 165.])
zopt: array([241., 243., 408.])
*******************************************
Period: 28
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-2.19071889, 0.09894446, 51.82028558]])
fopt: 0.7103881434347233
fun: -0.7118154306816854
message: 'Optimization terminated successfully.'
nfev: 533
nit: 8
status: 0
success: True
x: array([209.99825156, 1.01410608, 197.03227969])
xopt: array([209., 2., 197.])
zopt: array([209., 211., 408.])
*******************************************
Period: 29
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 4.00000005]])
fopt: 0.4764085188303468
fun: -0.47500981551224514
message: 'Optimization terminated successfully.'
nfev: 498
nit: 6
status: 0
success: True
x: array([299.43395092, 2.00000022, 107.00000069])
xopt: array([299., 2., 107.])
zopt: array([299., 301., 408.])
*******************************************
Period: 30
direc: array([[-3.85188152e+00, -1.22641467e-07, -1.30404736e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.22792544e+00, -1.41758026e+01, 5.50065066e+01]])
fopt: 0.518391132143901
fun: -0.6800259829533926
message: 'Optimization terminated successfully.'
nfev: 380
nit: 5
status: 0
success: True
x: array([261.96211928, -48.96211077, 195. ])
xopt: array([261., 0., 195.])
zopt: array([261., 261., 456.])
*******************************************
Period: 31
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-186.02502439, 50.47346688, 101.33436143]])
fopt: 0.7894729918465995
fun: -0.7885874067693158
message: 'Optimization terminated successfully.'
nfev: 484
nit: 8
status: 0
success: True
x: array([116.99912184, 98. , 193.0002759 ])
xopt: array([116., 99., 193.])
zopt: array([116., 215., 408.])
*******************************************
Period: 32
direc: array([[ 78.51099009, 0.26233663, 0.53271976],
[ 0. , 1. , 0. ],
[-139.60408069, -0.4830222 , 151.00148833]])
fopt: 0.711037621142502
fun: -0.7117050445695735
message: 'Optimization terminated successfully.'
nfev: 531
nit: 7
status: 0
success: True
x: array([2.11002513e+02, 1.82468765e-02, 1.97032887e+02])
xopt: array([211., 0., 197.])
zopt: array([211., 211., 408.])
*******************************************
Period: 33
direc: array([[ 57.34057894, -44.23933526, 54.35288902],
[ 0. , 1. , 0. ],
[ -3.01411544, -10.97202448, 13.98845117]])
fopt: -0.02815183307288641
fun: -0.5996413898875924
message: 'Optimization terminated successfully.'
nfev: 567
nit: 9
status: 0
success: True
x: array([ 365.44976446, -149.9950565 , 193.00001006])
xopt: array([365., 0., 193.])
zopt: array([365., 365., 558.])
*******************************************
Period: 34
direc: array([[76.44228127, 0.25288269, 0.58600834],
[ 0. , 1. , 0. ],
[-0. , 0. , 0. ]])
fopt: 0.33456437057727484
fun: -0.3344852026975284
message: 'Optimization terminated successfully.'
nfev: 775
nit: 9
status: 0
success: True
x: array([351.91050899, 3.00042698, 33.00330524])
xopt: array([351., 3., 34.])
zopt: array([351., 354., 388.])
*******************************************
Period: 35
direc: array([[71.57542953, 0.2364702 , 0.47335004],
[ 0. , 1. , 0. ],
[ 0. , -0. , 0. ]])
fopt: 0.2796145941388397
fun: -0.2786715289048335
message: 'Optimization terminated successfully.'
nfev: 343
nit: 4
status: 0
success: True
x: array([373.88911059, 2.10775172, 9.35844176])
xopt: array([373., 2., 10.])
zopt: array([373., 375., 385.])
*******************************************
Period: 36
direc: array([[ 75.46564114, 0.2509539 , 0.50598948],
[ 0. , 1. , 0. ],
[-87.88867736, 1.60832655, 117.05862909]])
fopt: 0.6136862599096535
fun: -0.613001728823576
message: 'Optimization terminated successfully.'
nfev: 1142
nit: 12
status: 0
success: True
x: array([205.80989398, 7.02027121, 255.68594757])
xopt: array([205., 8., 255.])
zopt: array([205., 213., 468.])
*******************************************
Period: 37
direc: array([[-37.84301366, 9.69683213, 57.73355029],
[ 0. , 1. , 0. ],
[ -3.02082989, 0.96253801, 0.41098243]])
fopt: 0.6697912151909541
fun: -0.669633271701604
message: 'Optimization terminated successfully.'
nfev: 709
nit: 10
status: 0
success: True
x: array([170.66999102, 44.0001367 , 196.00226647])
xopt: array([170., 45., 196.])
zopt: array([170., 215., 411.])
*******************************************
Period: 38
direc: array([[-9.20838966e-01, 9.36101882e-04, 1.56235558e-01],
[-7.71332703e+01, -4.29976238e+01, 8.79942803e+01],
[-1.21528851e+01, 3.20576168e+00, 1.40253847e+01]])
fopt: 0.5183335849215891
fun: -0.6073577392249437
message: 'Optimization terminated successfully.'
nfev: 698
nit: 11
status: 0
success: True
x: array([253.83319122, -42.79955709, 197.01776219])
xopt: array([253., 0., 197.])
zopt: array([253., 253., 450.])
*******************************************
Period: 39
direc: array([[-22.1153757 , 5.15774794, 9.07113341],
[ 0. , 1. , 0. ],
[-17.37143478, 8.28014991, 13.10734942]])
fopt: 0.660482209590427
fun: -0.6605538868869457
message: 'Optimization terminated successfully.'
nfev: 661
nit: 9
status: 0
success: True
x: array([151.01974188, 61.00000015, 210.0404397 ])
xopt: array([151., 61., 210.])
zopt: array([151., 212., 422.])
*******************************************
Period: 40
direc: array([[ 7.47081440e+01, 2.46877496e-01, 5.12611049e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.21655375e-03, -7.85045786e-04, 9.99984791e-01]])
fopt: 0.2705962750252427
fun: -0.2708068488268388
message: 'Optimization terminated successfully.'
nfev: 718
nit: 8
status: 0
success: True
x: array([378.07334195, 2.00027031, 12.01742449])
xopt: array([378., 2., 13.])
zopt: array([378., 380., 393.])
*******************************************
Period: 41
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.54082904e-05, 9.59954463e-01, -3.83737005e-05],
[ 8.24458684e+00, 2.40981698e+01, 1.42708494e+01]])
fopt: 0.6879601798711398
fun: -0.6865121780585641
message: 'Optimization terminated successfully.'
nfev: 750
nit: 11
status: 0
success: True
x: array([ 80.99360576, 205.00001582, 128.35790648])
xopt: array([ 81., 205., 129.])
zopt: array([ 81., 286., 415.])
*******************************************
Period: 42
direc: array([[-1.01242247e+00, 9.91589348e-01, 9.78713766e-01],
[-1.94959790e+00, 2.99454735e+00, -4.36773459e-04],
[ 0.00000000e+00, 4.00000000e+00, 0.00000000e+00]])
fopt: 0.2679163542534027
fun: -0.2680960015332696
message: 'Optimization terminated successfully.'
nfev: 1212
nit: 13
status: 0
success: True
x: array([369.13556478, 29.00766696, 4.01190736])
xopt: array([369., 30., 5.])
zopt: array([369., 399., 404.])
*******************************************
Period: 43
direc: array([[ 6.0062468 , 6.78941714, 11.02643949],
[-20.34799865, 7.0745013 , 10.569037 ],
[ 0. , 1. , 0. ]])
fopt: 0.706276624937212
fun: -0.7039272240005251
message: 'Optimization terminated successfully.'
nfev: 618
nit: 9
status: 0
success: True
x: array([ 90.74052503, 120.0077964 , 213.88693683])
xopt: array([ 90., 120., 213.])
zopt: array([ 90., 210., 423.])
*******************************************
Period: 44
direc: array([[ 2.13145907e-01, -1.44288400e-01, -2.74438223e-01],
[-1.61582088e-10, -2.19974667e-11, -4.18394387e-11],
[-1.61605840e-10, -1.88851732e-02, -4.18367563e-11]])
fopt: 0.3232092778827001
fun: -0.32367453398263957
message: 'Optimization terminated successfully.'
nfev: 672
nit: 7
status: 0
success: True
x: array([349.23225181, 25.0460021 , 47.00790171])
xopt: array([349., 25., 47.])
zopt: array([349., 374., 421.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp333nwqei.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp329earkc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.09974
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.3842 2.09974
Optimal solution found (tolerance 1.00e-02)
Best objective 3.384202567318e+00, best bound 3.384202567318e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuepto_82.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyhe9h2qh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.60773
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.810100e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.8101004 1.81010 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.8101 1.60773
Optimal solution found (tolerance 1.00e-02)
Best objective 1.810100360740e+00, best bound 1.810100360740e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppdrqq59o.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvkq1e3m5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.854332
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 2.109122e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10912 0 6 0.85433 2.10912 147% - 0s
H 0 0 1.7650742 2.10912 19.5% - 0s
0 0 cutoff 0 1.76507 1.76507 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (29 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.76507 0.854332
Optimal solution found (tolerance 1.00e-02)
Best objective 1.765074177859e+00, best bound 1.765074177859e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvrfrr3n7.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprc93wln2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21346
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 1.807234e+00, 22 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80723 0 4 1.21346 1.80723 48.9% - 0s
H 0 0 1.4925661 1.80723 21.1% - 0s
0 0 cutoff 0 1.49257 1.49257 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow cover: 2
Explored 1 nodes (25 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.49257 1.21346
Optimal solution found (tolerance 1.00e-02)
Best objective 1.492566086439e+00, best bound 1.492566086439e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2dt_xzub.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9obonoqf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12343
Presolve removed 161 rows and 112 columns
Presolve time: 0.01s
Presolved: 76 rows, 63 columns, 262 nonzeros
Variable types: 33 continuous, 30 integer (26 binary)
Root relaxation: objective 1.625972e+00, 40 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62597 0 9 1.12343 1.62597 44.7% - 0s
H 0 0 1.1879710 1.62597 36.9% - 0s
H 0 0 1.1917942 1.62597 36.4% - 0s
H 0 0 1.2394484 1.62597 31.2% - 0s
0 0 1.37066 0 4 1.23945 1.37066 10.6% - 0s
H 0 0 1.3171509 1.37066 4.06% - 0s
0 0 cutoff 0 1.31715 1.31715 0.00% - 0s
Cutting planes:
Gomory: 3
Implied bound: 1
Clique: 1
MIR: 1
Flow cover: 5
Explored 1 nodes (54 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.31715 1.23945 1.19179 ... 1.12343
Optimal solution found (tolerance 1.00e-02)
Best objective 1.317150876238e+00, best bound 1.317150876238e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1j7w_f_o.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyout4rdk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.93239
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.894194e+00, 95 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.89419 0 9 0.93239 2.89419 210% - 0s
0 0 2.42543 0 8 0.93239 2.42543 160% - 0s
0 0 2.42382 0 10 0.93239 2.42382 160% - 0s
0 0 2.42379 0 10 0.93239 2.42379 160% - 0s
0 0 2.06960 0 12 0.93239 2.06960 122% - 0s
0 0 2.05134 0 12 0.93239 2.05134 120% - 0s
0 0 2.05069 0 12 0.93239 2.05069 120% - 0s
0 0 2.03598 0 10 0.93239 2.03598 118% - 0s
0 0 2.03307 0 12 0.93239 2.03307 118% - 0s
0 0 2.02475 0 12 0.93239 2.02475 117% - 0s
0 0 2.02441 0 12 0.93239 2.02441 117% - 0s
0 0 2.02284 0 12 0.93239 2.02284 117% - 0s
0 0 2.02284 0 12 0.93239 2.02284 117% - 0s
H 0 0 1.2952441 2.02284 56.2% - 0s
0 2 2.02284 0 12 1.29524 2.02284 56.2% - 0s
H 8 3 1.4691616 1.80710 23.0% 5.6 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 4
Clique: 1
MIR: 1
Flow cover: 8
Explored 18 nodes (271 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.46916 1.29524 0.93239
Optimal solution found (tolerance 1.00e-02)
Best objective 1.469161643225e+00, best bound 1.469161643225e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm7lsqu_p.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpowby5ir1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21398
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.634197e+00, 125 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.63420 0 11 1.21398 2.63420 117% - 0s
0 0 2.16139 0 8 1.21398 2.16139 78.0% - 0s
0 0 2.14830 0 9 1.21398 2.14830 77.0% - 0s
0 0 2.13940 0 10 1.21398 2.13940 76.2% - 0s
0 0 1.95683 0 11 1.21398 1.95683 61.2% - 0s
0 0 1.95015 0 12 1.21398 1.95015 60.6% - 0s
0 0 1.88332 0 11 1.21398 1.88332 55.1% - 0s
0 0 1.88332 0 11 1.21398 1.88332 55.1% - 0s
H 0 0 1.3611705 1.88332 38.4% - 0s
0 2 1.88332 0 11 1.36117 1.88332 38.4% - 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 4
Clique: 1
MIR: 2
Flow cover: 11
Explored 19 nodes (326 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.36117 1.21398
Optimal solution found (tolerance 1.00e-02)
Best objective 1.361170492964e+00, best bound 1.361170492964e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwyndyja9.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsko0z1f3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05943
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.849191e+00, 146 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.84919 0 16 1.05943 2.84919 169% - 0s
0 0 2.56468 0 21 1.05943 2.56468 142% - 0s
0 0 2.55471 0 21 1.05943 2.55471 141% - 0s
0 0 2.54105 0 26 1.05943 2.54105 140% - 0s
0 0 2.32487 0 13 1.05943 2.32487 119% - 0s
0 0 2.31692 0 12 1.05943 2.31692 119% - 0s
0 0 2.30387 0 18 1.05943 2.30387 117% - 0s
0 0 2.29236 0 18 1.05943 2.29236 116% - 0s
0 0 2.29114 0 18 1.05943 2.29114 116% - 0s
0 0 2.29113 0 18 1.05943 2.29113 116% - 0s
0 0 2.27822 0 15 1.05943 2.27822 115% - 0s
0 0 2.24988 0 19 1.05943 2.24988 112% - 0s
0 0 2.24215 0 14 1.05943 2.24215 112% - 0s
0 0 2.23840 0 15 1.05943 2.23840 111% - 0s
0 0 2.23662 0 19 1.05943 2.23662 111% - 0s
0 0 2.23517 0 19 1.05943 2.23517 111% - 0s
0 0 2.21008 0 19 1.05943 2.21008 109% - 0s
0 0 2.20972 0 19 1.05943 2.20972 109% - 0s
0 0 2.20694 0 20 1.05943 2.20694 108% - 0s
0 0 2.20694 0 20 1.05943 2.20694 108% - 0s
H 0 0 1.4510668 2.20694 52.1% - 0s
0 2 2.20694 0 20 1.45107 2.20694 52.1% - 0s
Cutting planes:
Gomory: 7
Cover: 9
Implied bound: 9
MIR: 5
Flow cover: 20
Flow path: 1
Explored 65 nodes (765 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.45107 1.05943
Optimal solution found (tolerance 1.00e-02)
Best objective 1.451066816109e+00, best bound 1.451066816109e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8q6irkye.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkayh9a4s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20914
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.713712e+00, 180 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.71371 0 14 1.20914 2.71371 124% - 0s
0 0 2.39361 0 24 1.20914 2.39361 98.0% - 0s
0 0 2.37067 0 26 1.20914 2.37067 96.1% - 0s
0 0 2.36153 0 28 1.20914 2.36153 95.3% - 0s
0 0 2.35330 0 29 1.20914 2.35330 94.6% - 0s
0 0 2.14978 0 16 1.20914 2.14978 77.8% - 0s
0 0 2.14392 0 16 1.20914 2.14392 77.3% - 0s
0 0 2.14377 0 16 1.20914 2.14377 77.3% - 0s
0 0 2.14148 0 18 1.20914 2.14148 77.1% - 0s
0 0 2.14041 0 18 1.20914 2.14041 77.0% - 0s
0 0 2.13846 0 16 1.20914 2.13846 76.9% - 0s
0 0 2.13846 0 16 1.20914 2.13846 76.9% - 0s
H 0 0 1.4064039 2.13846 52.1% - 0s
0 2 2.13846 0 16 1.40640 2.13846 52.1% - 0s
* 56 2 9 1.4475995 1.57935 9.10% 6.5 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 6
MIR: 7
Flow cover: 27
Explored 70 nodes (806 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.4476 1.4064 1.20914
Optimal solution found (tolerance 1.00e-02)
Best objective 1.447599488452e+00, best bound 1.447599488452e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4l_0me5z.pyomo.lp
Reading time = 0.01 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvy6ouze2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2326
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.648058e+00, 219 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.64806 0 15 1.23260 2.64806 115% - 0s
0 0 2.35077 0 18 1.23260 2.35077 90.7% - 0s
0 0 2.32810 0 22 1.23260 2.32810 88.9% - 0s
0 0 2.32187 0 22 1.23260 2.32187 88.4% - 0s
0 0 2.31675 0 24 1.23260 2.31675 88.0% - 0s
0 0 2.31406 0 23 1.23260 2.31406 87.7% - 0s
0 0 2.13850 0 20 1.23260 2.13850 73.5% - 0s
0 0 2.13718 0 23 1.23260 2.13718 73.4% - 0s
0 0 2.13718 0 23 1.23260 2.13718 73.4% - 0s
0 0 2.12394 0 23 1.23260 2.12394 72.3% - 0s
0 0 2.12394 0 22 1.23260 2.12394 72.3% - 0s
0 0 2.12390 0 26 1.23260 2.12390 72.3% - 0s
0 0 2.12390 0 26 1.23260 2.12390 72.3% - 0s
0 2 2.12390 0 26 1.23260 2.12390 72.3% - 0s
* 100 11 18 1.4426820 1.72271 19.4% 6.0 0s
Cutting planes:
Gomory: 8
Cover: 5
Implied bound: 14
MIR: 1
Flow cover: 19
Inf proof: 1
Network: 1
Explored 144 nodes (1212 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.44268 1.2326
Optimal solution found (tolerance 1.00e-02)
Best objective 1.442681950294e+00, best bound 1.442681950294e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp424hfvcf.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp94hf7ysg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2545
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.565640e+00, 210 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.56564 0 17 1.25450 2.56564 105% - 0s
0 0 2.26794 0 32 1.25450 2.26794 80.8% - 0s
0 0 2.24604 0 34 1.25450 2.24604 79.0% - 0s
0 0 2.24224 0 36 1.25450 2.24224 78.7% - 0s
0 0 2.23771 0 39 1.25450 2.23771 78.4% - 0s
0 0 2.23568 0 38 1.25450 2.23568 78.2% - 0s
0 0 2.11018 0 38 1.25450 2.11018 68.2% - 0s
0 0 2.11018 0 41 1.25450 2.11018 68.2% - 0s
0 0 2.11017 0 40 1.25450 2.11017 68.2% - 0s
0 0 2.11017 0 40 1.25450 2.11017 68.2% - 0s
H 0 0 1.3452524 2.11017 56.9% - 0s
0 2 2.11017 0 40 1.34525 2.11017 56.9% - 0s
* 196 46 18 1.3575564 1.64164 20.9% 5.9 0s
* 249 7 20 1.4288243 1.60723 12.5% 5.3 0s
* 272 8 18 1.4313895 1.60620 12.2% 5.3 0s
* 296 0 17 1.4427932 1.59774 10.7% 5.2 0s
Cutting planes:
Gomory: 8
Cover: 3
Implied bound: 17
MIR: 3
Flow cover: 28
Inf proof: 2
Explored 310 nodes (1999 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.44279 1.43139 1.42882 ... 1.2545
Optimal solution found (tolerance 1.00e-02)
Best objective 1.442793228271e+00, best bound 1.442793228271e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzxnyqrmw.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcu9lishk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2714
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.485507e+00, 244 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.48551 0 21 1.27140 2.48551 95.5% - 0s
0 0 2.19873 0 36 1.27140 2.19873 72.9% - 0s
0 0 2.19000 0 36 1.27140 2.19000 72.3% - 0s
0 0 2.18523 0 41 1.27140 2.18523 71.9% - 0s
0 0 2.18282 0 40 1.27140 2.18282 71.7% - 0s
0 0 2.03173 0 37 1.27140 2.03173 59.8% - 0s
0 0 2.03074 0 37 1.27140 2.03074 59.7% - 0s
0 0 2.03074 0 37 1.27140 2.03074 59.7% - 0s
0 0 2.02461 0 41 1.27140 2.02461 59.2% - 0s
0 0 2.02457 0 43 1.27140 2.02457 59.2% - 0s
0 0 2.01642 0 40 1.27140 2.01642 58.6% - 0s
0 0 2.01642 0 40 1.27140 2.01642 58.6% - 0s
0 0 2.01500 0 42 1.27140 2.01500 58.5% - 0s
0 0 2.01500 0 42 1.27140 2.01500 58.5% - 0s
0 2 2.01500 0 42 1.27140 2.01500 58.5% - 0s
* 166 30 27 1.3164978 1.66192 26.2% 7.1 0s
* 185 33 27 1.3417427 1.60406 19.6% 6.6 0s
* 196 28 22 1.4202751 1.58663 11.7% 6.4 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 16
MIR: 6
Flow cover: 29
Inf proof: 1
Explored 256 nodes (1931 simplex iterations) in 0.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.42028 1.34174 1.3165 1.2714
Optimal solution found (tolerance 1.00e-02)
Best objective 1.420275140879e+00, best bound 1.420275140879e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkvxrgzum.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpprq00gt6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30762
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.293688e+00, 284 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29369 0 22 1.30762 2.29369 75.4% - 0s
0 0 2.01597 0 27 1.30762 2.01597 54.2% - 0s
0 0 2.00679 0 30 1.30762 2.00679 53.5% - 0s
0 0 1.99926 0 29 1.30762 1.99926 52.9% - 0s
0 0 1.99683 0 31 1.30762 1.99683 52.7% - 0s
0 0 1.99459 0 30 1.30762 1.99459 52.5% - 0s
0 0 1.91056 0 31 1.30762 1.91056 46.1% - 0s
0 0 1.90590 0 33 1.30762 1.90590 45.8% - 0s
0 0 1.89441 0 33 1.30762 1.89441 44.9% - 0s
0 0 1.87028 0 35 1.30762 1.87028 43.0% - 0s
0 0 1.86437 0 35 1.30762 1.86437 42.6% - 0s
0 0 1.86172 0 37 1.30762 1.86172 42.4% - 0s
0 0 1.85094 0 41 1.30762 1.85094 41.6% - 0s
0 0 1.84558 0 37 1.30762 1.84558 41.1% - 0s
0 0 1.84374 0 38 1.30762 1.84374 41.0% - 0s
0 0 1.84374 0 38 1.30762 1.84374 41.0% - 0s
0 2 1.84374 0 38 1.30762 1.84374 41.0% - 0s
Cutting planes:
Gomory: 10
Cover: 4
Implied bound: 12
MIR: 5
Flow cover: 39
Inf proof: 10
Explored 300 nodes (2256 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.30762
Optimal solution found (tolerance 1.00e-02)
Best objective 1.307623990171e+00, best bound 1.307623990171e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjde9f86c.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptly2_zed.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19274
Presolve removed 247 rows and 157 columns
Presolve time: 0.02s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.226095e+00, 334 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22610 0 27 1.19274 2.22610 86.6% - 0s
0 0 1.96410 0 40 1.19274 1.96410 64.7% - 0s
0 0 1.95662 0 40 1.19274 1.95662 64.0% - 0s
0 0 1.95250 0 45 1.19274 1.95250 63.7% - 0s
0 0 1.95042 0 44 1.19274 1.95042 63.5% - 0s
0 0 1.81795 0 38 1.19274 1.81795 52.4% - 0s
0 0 1.81711 0 40 1.19274 1.81711 52.3% - 0s
0 0 1.81711 0 40 1.19274 1.81711 52.3% - 0s
0 0 1.81117 0 43 1.19274 1.81117 51.8% - 0s
0 0 1.81114 0 45 1.19274 1.81114 51.8% - 0s
0 0 1.80743 0 46 1.19274 1.80743 51.5% - 0s
0 0 1.80743 0 46 1.19274 1.80743 51.5% - 0s
0 0 1.80736 0 50 1.19274 1.80736 51.5% - 0s
0 0 1.80736 0 50 1.19274 1.80736 51.5% - 0s
0 2 1.80736 0 50 1.19274 1.80736 51.5% - 0s
* 116 62 39 1.2339659 1.61169 30.6% 7.5 0s
* 545 6 32 1.2396775 1.35163 9.03% 5.8 0s
* 549 4 30 1.2451815 1.35163 8.55% 5.8 0s
* 611 2 30 1.2463251 1.27299 2.14% 5.7 0s
* 614 2 30 1.2501526 1.27299 1.83% 5.6 0s
Cutting planes:
Gomory: 11
Cover: 7
Implied bound: 18
MIR: 14
Flow cover: 35
Inf proof: 3
Explored 624 nodes (4136 simplex iterations) in 0.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.25015 1.24633 1.24518 ... 1.19274
Optimal solution found (tolerance 1.00e-02)
Best objective 1.250152586027e+00, best bound 1.258205376109e+00, gap 0.6441%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyimkgmkl.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp56nk6nw0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1321
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.209110e+00, 377 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.20911 0 31 1.13210 2.20911 95.1% - 0s
0 0 1.94145 0 27 1.13210 1.94145 71.5% - 0s
0 0 1.92539 0 30 1.13210 1.92539 70.1% - 0s
0 0 1.92260 0 32 1.13210 1.92260 69.8% - 0s
0 0 1.91959 0 35 1.13210 1.91959 69.6% - 0s
0 0 1.91826 0 34 1.13210 1.91826 69.4% - 0s
0 0 1.82382 0 38 1.13210 1.82382 61.1% - 0s
0 0 1.82382 0 38 1.13210 1.82382 61.1% - 0s
0 0 1.82377 0 37 1.13210 1.82377 61.1% - 0s
0 0 1.82377 0 34 1.13210 1.82377 61.1% - 0s
0 2 1.82377 0 34 1.13210 1.82377 61.1% - 0s
* 314 118 38 1.1584881 1.49666 29.2% 6.5 0s
* 316 118 36 1.1591789 1.49666 29.1% 6.5 0s
* 326 118 39 1.2013961 1.49598 24.5% 6.4 0s
* 1035 69 37 1.2032521 1.26990 5.54% 5.9 0s
* 1037 68 35 1.2039429 1.26990 5.48% 5.9 0s
* 1076 67 35 1.2102744 1.26343 4.39% 5.8 0s
* 1078 66 34 1.2112661 1.26343 4.31% 5.8 0s
* 1145 11 33 1.2215035 1.23155 0.82% 5.9 0s
* 1146 8 33 1.2243568 1.23155 0.59% 5.9 0s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 14
MIR: 6
Flow cover: 34
Inf proof: 17
Explored 1160 nodes (7415 simplex iterations) in 0.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 1.22436 1.2215 1.21127 ... 1.1321
Optimal solution found (tolerance 1.00e-02)
Best objective 1.224356751189e+00, best bound 1.229479697535e+00, gap 0.4184%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4vgaxlnl.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmjded9f6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13093
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.109167e+00, 348 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10917 0 35 1.13093 2.10917 86.5% - 0s
0 0 1.85709 0 31 1.13093 1.85709 64.2% - 0s
0 0 1.84262 0 35 1.13093 1.84262 62.9% - 0s
0 0 1.84000 0 36 1.13093 1.84000 62.7% - 0s
0 0 1.83692 0 40 1.13093 1.83692 62.4% - 0s
0 0 1.83561 0 39 1.13093 1.83561 62.3% - 0s
0 0 1.75427 0 40 1.13093 1.75427 55.1% - 0s
0 0 1.74809 0 41 1.13093 1.74809 54.6% - 0s
0 0 1.74809 0 41 1.13093 1.74809 54.6% - 0s
0 0 1.74806 0 40 1.13093 1.74806 54.6% - 0s
0 0 1.74806 0 40 1.13093 1.74806 54.6% - 0s
0 0 1.74806 0 40 1.13093 1.74806 54.6% - 0s
0 0 1.74806 0 40 1.13093 1.74806 54.6% - 0s
0 2 1.74806 0 36 1.13093 1.74806 54.6% - 0s
* 617 141 38 1.1412154 1.33044 16.6% 6.6 0s
* 1040 13 37 1.1632450 1.21131 4.13% 6.6 0s
Cutting planes:
Gomory: 16
Cover: 4
Implied bound: 14
MIR: 9
Flow cover: 42
Inf proof: 9
Explored 1132 nodes (7901 simplex iterations) in 0.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16325 1.14122 1.13093
Optimal solution found (tolerance 1.00e-02)
Best objective 1.163245010452e+00, best bound 1.163245010452e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpks0u0okp.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpospnllkj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05021
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.164150e+00, 389 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16415 0 38 1.05021 2.16415 106% - 0s
0 0 1.90626 0 41 1.05021 1.90626 81.5% - 0s
0 0 1.88922 0 37 1.05021 1.88922 79.9% - 0s
0 0 1.88894 0 41 1.05021 1.88894 79.9% - 0s
0 0 1.88781 0 44 1.05021 1.88781 79.8% - 0s
0 0 1.88678 0 43 1.05021 1.88678 79.7% - 0s
0 0 1.81539 0 47 1.05021 1.81539 72.9% - 0s
0 0 1.81208 0 46 1.05021 1.81208 72.5% - 0s
0 0 1.81208 0 46 1.05021 1.81208 72.5% - 0s
0 0 1.81205 0 44 1.05021 1.81205 72.5% - 0s
0 0 1.81205 0 47 1.05021 1.81205 72.5% - 0s
0 0 1.81204 0 47 1.05021 1.81204 72.5% - 0s
0 0 1.81204 0 40 1.05021 1.81204 72.5% - 0s
0 2 1.81204 0 39 1.05021 1.81204 72.5% - 0s
* 949 244 49 1.0911356 1.41221 29.4% 6.0 0s
* 1432 240 49 1.1349975 1.35873 19.7% 5.4 0s
* 1970 152 43 1.1361872 1.24676 9.73% 5.3 1s
* 2128 100 47 1.1366046 1.23089 8.30% 5.2 1s
* 2313 0 45 1.1374172 1.13742 0.00% 5.2 1s
Cutting planes:
Gomory: 16
Cover: 4
Implied bound: 25
MIR: 12
Flow cover: 45
Inf proof: 26
Explored 2315 nodes (12664 simplex iterations) in 1.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.13742 1.1366 1.13619 ... 1.05021
Optimal solution found (tolerance 1.00e-02)
Best objective 1.137417243210e+00, best bound 1.137417243210e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_nanpzh5.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi9eawu4b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03982
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.092596e+00, 400 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09260 0 42 1.03982 2.09260 101% - 0s
0 0 1.84877 0 40 1.03982 1.84877 77.8% - 0s
0 0 1.83585 0 44 1.03982 1.83585 76.6% - 0s
0 0 1.83307 0 45 1.03982 1.83307 76.3% - 0s
0 0 1.83097 0 49 1.03982 1.83097 76.1% - 0s
0 0 1.83001 0 48 1.03982 1.83001 76.0% - 0s
0 0 1.75773 0 55 1.03982 1.75773 69.0% - 0s
0 0 1.74971 0 54 1.03982 1.74971 68.3% - 0s
0 0 1.74971 0 56 1.03982 1.74971 68.3% - 0s
0 0 1.74782 0 53 1.03982 1.74782 68.1% - 0s
0 0 1.74782 0 53 1.03982 1.74782 68.1% - 0s
0 0 1.74706 0 56 1.03982 1.74706 68.0% - 0s
0 0 1.74706 0 56 1.03982 1.74706 68.0% - 0s
0 2 1.74706 0 52 1.03982 1.74706 68.0% - 0s
* 1007 306 53 1.0420992 1.34892 29.4% 7.5 0s
* 1595 432 51 1.0461597 1.25796 20.2% 7.0 1s
* 1796 450 44 1.0521018 1.25473 19.3% 7.0 1s
* 1956 466 51 1.0814544 1.24356 15.0% 6.8 1s
* 2635 76 51 1.0886435 1.13103 3.89% 6.7 1s
* 2670 80 50 1.0888789 1.12151 3.00% 6.7 1s
* 2760 6 46 1.0890402 1.10346 1.32% 6.6 1s
Cutting planes:
Gomory: 20
Cover: 12
Implied bound: 29
MIR: 9
Flow cover: 51
Inf proof: 32
Explored 2800 nodes (19018 simplex iterations) in 1.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.08904 1.08888 1.08864 ... 1.03982
Optimal solution found (tolerance 1.00e-02)
Best objective 1.089040186328e+00, best bound 1.091749755687e+00, gap 0.2488%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdu2d9p9q.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy0hm133v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00019
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 2.038056e+00, 431 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03806 0 45 1.00019 2.03806 104% - 0s
0 0 1.79714 0 41 1.00019 1.79714 79.7% - 0s
0 0 1.78446 0 44 1.00019 1.78446 78.4% - 0s
0 0 1.78226 0 46 1.00019 1.78226 78.2% - 0s
0 0 1.78025 0 49 1.00019 1.78025 78.0% - 0s
0 0 1.77938 0 48 1.00019 1.77938 77.9% - 0s
0 0 1.70476 0 56 1.00019 1.70476 70.4% - 0s
0 0 1.69748 0 55 1.00019 1.69748 69.7% - 0s
0 0 1.69721 0 59 1.00019 1.69721 69.7% - 0s
0 0 1.69570 0 53 1.00019 1.69570 69.5% - 0s
0 0 1.69570 0 53 1.00019 1.69570 69.5% - 0s
0 0 1.69569 0 52 1.00019 1.69569 69.5% - 0s
0 0 1.69569 0 53 1.00019 1.69569 69.5% - 0s
0 0 1.69569 0 53 1.00019 1.69569 69.5% - 0s
0 2 1.69569 0 53 1.00019 1.69569 69.5% - 0s
* 1891 136 51 1.0534505 1.19665 13.6% 11.4 2s
* 2029 4 50 1.0609813 1.12277 5.82% 11.1 2s
* 2127 6 48 1.0612043 1.08052 1.82% 10.8 2s
* 2128 6 48 1.0613571 1.08052 1.81% 10.8 2s
Cutting planes:
Gomory: 25
Cover: 2
Implied bound: 14
Projected implied bound: 21
MIR: 13
Flow cover: 43
Flow path: 2
Inf proof: 15
Explored 2210 nodes (24168 simplex iterations) in 2.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.06136 1.0612 1.06098 ... 1.00019
Optimal solution found (tolerance 1.00e-02)
Best objective 1.061357105845e+00, best bound 1.061357105845e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxwchllj9.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4par3kle.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.986339
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.976768e+00, 507 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97677 0 51 0.98634 1.97677 100% - 0s
0 0 1.73373 0 51 0.98634 1.73373 75.8% - 0s
0 0 1.72169 0 54 0.98634 1.72169 74.6% - 0s
0 0 1.71959 0 56 0.98634 1.71959 74.3% - 0s
0 0 1.71769 0 59 0.98634 1.71769 74.1% - 0s
0 0 1.71687 0 58 0.98634 1.71687 74.1% - 0s
0 0 1.63934 0 67 0.98634 1.63934 66.2% - 0s
0 0 1.63932 0 66 0.98634 1.63932 66.2% - 0s
0 0 1.63850 0 68 0.98634 1.63850 66.1% - 0s
0 0 1.63850 0 65 0.98634 1.63850 66.1% - 0s
0 2 1.63850 0 65 0.98634 1.63850 66.1% - 0s
* 955 465 64 1.0314800 1.41976 37.6% 10.9 2s
* 2316 0 60 1.0322267 1.05897 2.59% 10.3 3s
Cutting planes:
Learned: 1
Gomory: 26
Cover: 4
Implied bound: 18
Projected implied bound: 21
MIR: 18
Flow cover: 48
Inf proof: 21
Explored 2384 nodes (25035 simplex iterations) in 3.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.03223 1.03148 0.986339
Optimal solution found (tolerance 1.00e-02)
Best objective 1.032226717078e+00, best bound 1.035292205304e+00, gap 0.2970%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwmc354xm.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplkbiu9ou.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.975428
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.881304e+00, 511 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88130 0 48 0.97543 1.88130 92.9% - 0s
0 0 1.64415 0 50 0.97543 1.64415 68.6% - 0s
0 0 1.63268 0 53 0.97543 1.63268 67.4% - 0s
0 0 1.63068 0 55 0.97543 1.63068 67.2% - 0s
0 0 1.62881 0 58 0.97543 1.62881 67.0% - 0s
0 0 1.62800 0 57 0.97543 1.62800 66.9% - 0s
0 0 1.55431 0 69 0.97543 1.55431 59.3% - 0s
0 0 1.55427 0 67 0.97543 1.55427 59.3% - 0s
0 0 1.55426 0 66 0.97543 1.55426 59.3% - 0s
0 0 1.55426 0 61 0.97543 1.55426 59.3% - 0s
0 2 1.55426 0 59 0.97543 1.55426 59.3% - 0s
Cutting planes:
Learned: 1
Gomory: 26
Cover: 3
Implied bound: 15
Projected implied bound: 21
MIR: 13
Flow cover: 44
Inf proof: 17
Explored 1653 nodes (17710 simplex iterations) in 2.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.975428
Optimal solution found (tolerance 1.00e-02)
Best objective 9.754283093043e-01, best bound 9.763928117246e-01, gap 0.0989%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps5c118sy.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpax4_vcjw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.937422
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.794676e+00, 502 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79468 0 49 0.93742 1.79468 91.4% - 0s
0 0 1.57674 0 54 0.93742 1.57674 68.2% - 0s
0 0 1.56580 0 57 0.93742 1.56580 67.0% - 0s
0 0 1.56390 0 59 0.93742 1.56390 66.8% - 0s
0 0 1.56210 0 62 0.93742 1.56210 66.6% - 0s
0 0 1.56131 0 61 0.93742 1.56131 66.6% - 0s
0 0 1.49757 0 73 0.93742 1.49757 59.8% - 0s
0 0 1.49754 0 71 0.93742 1.49754 59.8% - 0s
0 0 1.49201 0 73 0.93742 1.49201 59.2% - 0s
0 0 1.49190 0 70 0.93742 1.49190 59.1% - 0s
0 0 1.49100 0 74 0.93742 1.49100 59.1% - 0s
0 0 1.49100 0 74 0.93742 1.49100 59.1% - 0s
0 2 1.49100 0 64 0.93742 1.49100 59.1% - 0s
Cutting planes:
Gomory: 43
Cover: 7
Implied bound: 12
Projected implied bound: 26
Clique: 2
MIR: 11
Flow cover: 44
Inf proof: 13
Explored 1946 nodes (22140 simplex iterations) in 2.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.937422
Optimal solution found (tolerance 1.00e-02)
Best objective 9.374221734433e-01, best bound 9.448233742618e-01, gap 0.7895%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyp2hhi_q.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7fwsp2pl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.954021
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.890831e+00, 549 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89083 0 49 0.95402 1.89083 98.2% - 0s
0 0 1.71382 0 61 0.95402 1.71382 79.6% - 0s
0 0 1.70335 0 64 0.95402 1.70335 78.5% - 0s
0 0 1.67437 0 78 0.95402 1.67437 75.5% - 0s
0 0 1.66916 0 75 0.95402 1.66916 75.0% - 0s
0 0 1.66916 0 78 0.95402 1.66916 75.0% - 0s
0 0 1.63453 0 86 0.95402 1.63453 71.3% - 0s
0 0 1.62650 0 84 0.95402 1.62650 70.5% - 0s
0 0 1.62591 0 84 0.95402 1.62591 70.4% - 0s
0 0 1.62591 0 85 0.95402 1.62591 70.4% - 0s
0 0 1.61805 0 81 0.95402 1.61805 69.6% - 0s
0 0 1.61355 0 80 0.95402 1.61355 69.1% - 0s
0 0 1.61290 0 82 0.95402 1.61290 69.1% - 0s
0 0 1.61290 0 82 0.95402 1.61290 69.1% - 0s
0 0 1.60677 0 80 0.95402 1.60677 68.4% - 0s
0 0 1.60308 0 80 0.95402 1.60308 68.0% - 0s
0 0 1.60181 0 81 0.95402 1.60181 67.9% - 0s
0 0 1.60152 0 82 0.95402 1.60152 67.9% - 0s
0 0 1.60152 0 82 0.95402 1.60152 67.9% - 0s
0 0 1.58656 0 82 0.95402 1.58656 66.3% - 0s
0 0 1.58572 0 81 0.95402 1.58572 66.2% - 0s
0 0 1.58549 0 81 0.95402 1.58549 66.2% - 0s
0 0 1.58418 0 80 0.95402 1.58418 66.1% - 0s
0 0 1.58408 0 84 0.95402 1.58408 66.0% - 0s
0 0 1.58408 0 85 0.95402 1.58408 66.0% - 0s
0 0 1.58408 0 86 0.95402 1.58408 66.0% - 0s
0 0 1.58408 0 84 0.95402 1.58408 66.0% - 0s
0 0 1.58408 0 84 0.95402 1.58408 66.0% - 0s
0 2 1.58408 0 79 0.95402 1.58408 66.0% - 0s
Cutting planes:
Learned: 1
Gomory: 30
Cover: 6
Implied bound: 20
Projected implied bound: 25
MIR: 13
Flow cover: 58
Flow path: 1
Inf proof: 40
Explored 3452 nodes (40184 simplex iterations) in 4.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.954021
Optimal solution found (tolerance 1.00e-02)
Best objective 9.540209092381e-01, best bound 9.603325892110e-01, gap 0.6616%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpugm8g4l0.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpft0rv61v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.935335
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.828779e+00, 584 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82878 0 49 0.93534 1.82878 95.5% - 0s
0 0 1.76112 0 69 0.93534 1.76112 88.3% - 0s
0 0 1.75676 0 69 0.93534 1.75676 87.8% - 0s
0 0 1.66173 0 79 0.93534 1.66173 77.7% - 0s
0 0 1.65822 0 77 0.93534 1.65822 77.3% - 0s
0 0 1.63239 0 87 0.93534 1.63239 74.5% - 0s
0 0 1.63034 0 80 0.93534 1.63034 74.3% - 0s
0 0 1.61839 0 78 0.93534 1.61839 73.0% - 0s
0 0 1.61807 0 79 0.93534 1.61807 73.0% - 0s
0 0 1.61173 0 83 0.93534 1.61173 72.3% - 0s
0 0 1.61146 0 83 0.93534 1.61146 72.3% - 0s
0 0 1.60866 0 82 0.93534 1.60866 72.0% - 0s
0 0 1.60776 0 83 0.93534 1.60776 71.9% - 0s
0 0 1.60776 0 85 0.93534 1.60776 71.9% - 0s
0 0 1.60607 0 83 0.93534 1.60607 71.7% - 0s
0 0 1.60605 0 83 0.93534 1.60605 71.7% - 0s
0 0 1.60585 0 83 0.93534 1.60585 71.7% - 0s
0 0 1.60585 0 83 0.93534 1.60585 71.7% - 0s
0 0 1.60580 0 83 0.93534 1.60580 71.7% - 0s
0 0 1.60580 0 74 0.93534 1.60580 71.7% - 0s
0 2 1.60580 0 74 0.93534 1.60580 71.7% - 0s
2832 478 0.96233 28 61 0.93534 1.09622 17.2% 15.1 5s
Cutting planes:
Learned: 3
Gomory: 39
Cover: 7
Implied bound: 30
Projected implied bound: 40
Clique: 1
MIR: 12
Flow cover: 64
Inf proof: 49
Explored 4827 nodes (74556 simplex iterations) in 7.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.935335
Optimal solution found (tolerance 1.00e-02)
Best objective 9.353352734913e-01, best bound 9.353352734913e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjvwzbv_8.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa5t49ynu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.8997
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.755141e+00, 594 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75514 0 50 0.89970 1.75514 95.1% - 0s
0 0 1.68417 0 70 0.89970 1.68417 87.2% - 0s
0 0 1.67456 0 72 0.89970 1.67456 86.1% - 0s
0 0 1.63008 0 89 0.89970 1.63008 81.2% - 0s
0 0 1.62536 0 84 0.89970 1.62536 80.7% - 0s
0 0 1.61641 0 89 0.89970 1.61641 79.7% - 0s
0 0 1.60987 0 87 0.89970 1.60987 78.9% - 0s
0 0 1.60062 0 89 0.89970 1.60062 77.9% - 0s
0 0 1.59926 0 85 0.89970 1.59926 77.8% - 0s
0 0 1.59211 0 88 0.89970 1.59211 77.0% - 0s
0 0 1.58261 0 89 0.89970 1.58261 75.9% - 0s
0 0 1.58103 0 89 0.89970 1.58103 75.7% - 0s
0 0 1.58103 0 89 0.89970 1.58103 75.7% - 0s
0 0 1.58045 0 89 0.89970 1.58045 75.7% - 0s
0 0 1.58045 0 89 0.89970 1.58045 75.7% - 0s
0 2 1.58045 0 85 0.89970 1.58045 75.7% - 0s
Cutting planes:
Learned: 1
Gomory: 14
Cover: 5
Implied bound: 16
Projected implied bound: 34
MIR: 22
Flow cover: 57
Inf proof: 26
Explored 4223 nodes (51412 simplex iterations) in 4.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.8997
Optimal solution found (tolerance 1.00e-02)
Best objective 8.996995859837e-01, best bound 9.029553384483e-01, gap 0.3619%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1n454bfz.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa15wkk_8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.877856
Presolve removed 403 rows and 253 columns
Presolve time: 0.03s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.697596e+00, 632 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69760 0 54 0.87786 1.69760 93.4% - 0s
0 0 1.63290 0 75 0.87786 1.63290 86.0% - 0s
0 0 1.62349 0 75 0.87786 1.62349 84.9% - 0s
0 0 1.52050 0 95 0.87786 1.52050 73.2% - 0s
0 0 1.51597 0 90 0.87786 1.51597 72.7% - 0s
0 0 1.48777 0 98 0.87786 1.48777 69.5% - 0s
0 0 1.48083 0 92 0.87786 1.48083 68.7% - 0s
0 0 1.47402 0 89 0.87786 1.47402 67.9% - 0s
0 0 1.46979 0 99 0.87786 1.46979 67.4% - 0s
0 0 1.46867 0 93 0.87786 1.46867 67.3% - 0s
0 0 1.46867 0 93 0.87786 1.46867 67.3% - 0s
0 0 1.46838 0 92 0.87786 1.46838 67.3% - 0s
0 0 1.46705 0 95 0.87786 1.46705 67.1% - 0s
0 0 1.46646 0 93 0.87786 1.46646 67.0% - 0s
0 0 1.46646 0 93 0.87786 1.46646 67.0% - 0s
0 0 1.46646 0 94 0.87786 1.46646 67.0% - 0s
0 0 1.46646 0 95 0.87786 1.46646 67.0% - 0s
0 0 1.46646 0 95 0.87786 1.46646 67.0% - 0s
0 0 1.46646 0 90 0.87786 1.46646 67.0% - 0s
0 2 1.46646 0 90 0.87786 1.46646 67.0% - 0s
3133 5 0.88650 78 15 0.87786 0.89896 2.40% 13.0 5s
Cutting planes:
Learned: 2
Gomory: 35
Cover: 3
Implied bound: 23
Projected implied bound: 31
MIR: 14
Flow cover: 50
Inf proof: 19
Explored 3440 nodes (43707 simplex iterations) in 5.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.877856
Optimal solution found (tolerance 1.00e-02)
Best objective 8.778560648133e-01, best bound 8.778560648133e-01, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ulfymoe.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo_as5x1w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.876311
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.812094e+00, 656 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81209 0 60 0.87631 1.81209 107% - 0s
0 0 1.75117 0 76 0.87631 1.75117 100% - 0s
0 0 1.74191 0 80 0.87631 1.74191 98.8% - 0s
0 0 1.64631 0 95 0.87631 1.64631 87.9% - 0s
0 0 1.62916 0 94 0.87631 1.62916 85.9% - 0s
0 0 1.58442 0 92 0.87631 1.58442 80.8% - 0s
0 0 1.57993 0 93 0.87631 1.57993 80.3% - 0s
0 0 1.56462 0 101 0.87631 1.56462 78.5% - 0s
0 0 1.56406 0 102 0.87631 1.56406 78.5% - 0s
0 0 1.54548 0 102 0.87631 1.54548 76.4% - 0s
0 0 1.54068 0 99 0.87631 1.54068 75.8% - 0s
0 0 1.54068 0 100 0.87631 1.54068 75.8% - 0s
0 0 1.53565 0 102 0.87631 1.53565 75.2% - 0s
0 0 1.53356 0 102 0.87631 1.53356 75.0% - 0s
0 0 1.53259 0 104 0.87631 1.53259 74.9% - 0s
0 0 1.53258 0 103 0.87631 1.53258 74.9% - 0s
0 0 1.53240 0 105 0.87631 1.53240 74.9% - 0s
0 0 1.53240 0 105 0.87631 1.53240 74.9% - 0s
0 0 1.53125 0 103 0.87631 1.53125 74.7% - 0s
0 0 1.53123 0 103 0.87631 1.53123 74.7% - 0s
0 0 1.53123 0 103 0.87631 1.53123 74.7% - 0s
0 0 1.53123 0 91 0.87631 1.53123 74.7% - 0s
0 2 1.53123 0 91 0.87631 1.53123 74.7% - 0s
1875 628 1.24719 24 91 0.87631 1.27605 45.6% 19.0 5s
H 1995 628 0.8783896 1.27007 44.6% 18.8 5s
6138 1247 0.98546 33 59 0.87839 1.08760 23.8% 18.4 10s
H 8949 3 0.8783896 0.90262 2.76% 16.1 12s
Cutting planes:
Learned: 1
Gomory: 30
Cover: 6
Implied bound: 37
Projected implied bound: 33
Clique: 2
MIR: 27
Flow cover: 91
Inf proof: 67
Explored 9047 nodes (146008 simplex iterations) in 12.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.87839 0.87839 0.876311
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (7.6236e-06) exceeds tolerance
Warning: max bound violation (2.5175e-06) exceeds tolerance
Best objective 8.783895955005e-01, best bound 8.833138540426e-01, gap 0.5606%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8fifbwsp.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4dbee4lz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.897342
Presolve removed 429 rows and 269 columns
Presolve time: 0.03s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.805556e+00, 647 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80556 0 60 0.89734 1.80556 101% - 0s
0 0 1.75547 0 91 0.89734 1.75547 95.6% - 0s
0 0 1.74199 0 83 0.89734 1.74199 94.1% - 0s
0 0 1.68491 0 96 0.89734 1.68491 87.8% - 0s
0 0 1.65439 0 92 0.89734 1.65439 84.4% - 0s
0 0 1.62095 0 96 0.89734 1.62095 80.6% - 0s
0 0 1.62060 0 103 0.89734 1.62060 80.6% - 0s
0 0 1.61303 0 106 0.89734 1.61303 79.8% - 0s
0 0 1.61297 0 105 0.89734 1.61297 79.7% - 0s
0 0 1.61104 0 106 0.89734 1.61104 79.5% - 0s
0 0 1.61101 0 107 0.89734 1.61101 79.5% - 0s
0 0 1.60745 0 106 0.89734 1.60745 79.1% - 0s
0 0 1.60204 0 100 0.89734 1.60204 78.5% - 0s
0 0 1.59569 0 106 0.89734 1.59569 77.8% - 0s
0 0 1.59532 0 106 0.89734 1.59532 77.8% - 0s
0 0 1.59504 0 107 0.89734 1.59504 77.8% - 0s
0 0 1.59498 0 107 0.89734 1.59498 77.7% - 0s
0 0 1.59488 0 110 0.89734 1.59488 77.7% - 0s
0 0 1.59488 0 110 0.89734 1.59488 77.7% - 0s
0 2 1.59488 0 110 0.89734 1.59488 77.7% - 0s
1679 637 1.20918 21 63 0.89734 1.26111 40.5% 15.5 5s
H 4145 1131 0.8973421 1.12566 25.4% 14.3 7s
6153 943 0.99690 46 48 0.89734 1.04841 16.8% 13.7 10s
Cutting planes:
Gomory: 41
Cover: 4
Implied bound: 30
Projected implied bound: 51
Clique: 1
MIR: 25
Flow cover: 118
Inf proof: 55
Explored 8371 nodes (108091 simplex iterations) in 12.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.897342 0.897342
Optimal solution found (tolerance 1.00e-02)
Best objective 8.973421260703e-01, best bound 8.973421260703e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp98s80iss.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkgwflafj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.902433
Presolve removed 442 rows and 277 columns
Presolve time: 0.03s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.778892e+00, 733 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77889 0 59 0.90243 1.77889 97.1% - 0s
0 0 1.73093 0 80 0.90243 1.73093 91.8% - 0s
0 0 1.72080 0 81 0.90243 1.72080 90.7% - 0s
0 0 1.66423 0 106 0.90243 1.66423 84.4% - 0s
0 0 1.64721 0 106 0.90243 1.64721 82.5% - 0s
0 0 1.63799 0 104 0.90243 1.63799 81.5% - 0s
0 0 1.63431 0 102 0.90243 1.63431 81.1% - 0s
0 0 1.62287 0 110 0.90243 1.62287 79.8% - 0s
0 0 1.61962 0 110 0.90243 1.61962 79.5% - 0s
0 0 1.60526 0 107 0.90243 1.60526 77.9% - 0s
0 0 1.60347 0 111 0.90243 1.60347 77.7% - 0s
0 0 1.59768 0 102 0.90243 1.59768 77.0% - 0s
0 0 1.59756 0 103 0.90243 1.59756 77.0% - 0s
0 0 1.59564 0 111 0.90243 1.59564 76.8% - 0s
0 0 1.59564 0 112 0.90243 1.59564 76.8% - 0s
0 0 1.59564 0 112 0.90243 1.59564 76.8% - 0s
0 0 1.59564 0 112 0.90243 1.59564 76.8% - 0s
0 0 1.59564 0 112 0.90243 1.59564 76.8% - 0s
0 2 1.59564 0 112 0.90243 1.59564 76.8% - 0s
1919 499 1.03518 39 66 0.90243 1.22608 35.9% 14.8 5s
H 3885 461 0.9114633 1.08134 18.6% 14.1 7s
Cutting planes:
Learned: 1
Gomory: 34
Cover: 6
Implied bound: 30
Projected implied bound: 38
MIR: 22
Flow cover: 85
Flow path: 1
Inf proof: 57
Explored 5374 nodes (73863 simplex iterations) in 8.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.911463 0.902433
Optimal solution found (tolerance 1.00e-02)
Best objective 9.114633417845e-01, best bound 9.114633417845e-01, gap 0.0000%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8eds36tx.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2y8bsu3u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.90539
Presolve removed 455 rows and 285 columns
Presolve time: 0.03s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.749983e+00, 749 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74998 0 64 0.90539 1.74998 93.3% - 0s
0 0 1.70415 0 82 0.90539 1.70415 88.2% - 0s
0 0 1.69573 0 85 0.90539 1.69573 87.3% - 0s
0 0 1.65667 0 104 0.90539 1.65667 83.0% - 0s
0 0 1.64787 0 100 0.90539 1.64787 82.0% - 0s
0 0 1.62896 0 106 0.90539 1.62896 79.9% - 0s
0 0 1.62010 0 104 0.90539 1.62010 78.9% - 0s
0 0 1.61341 0 106 0.90539 1.61341 78.2% - 0s
0 0 1.61190 0 102 0.90539 1.61190 78.0% - 0s
0 0 1.60615 0 103 0.90539 1.60615 77.4% - 0s
0 0 1.59965 0 103 0.90539 1.59965 76.7% - 0s
0 0 1.59380 0 104 0.90539 1.59380 76.0% - 0s
0 0 1.59380 0 104 0.90539 1.59380 76.0% - 0s
0 0 1.59171 0 104 0.90539 1.59171 75.8% - 0s
0 0 1.59171 0 92 0.90539 1.59171 75.8% - 0s
0 2 1.59171 0 90 0.90539 1.59171 75.8% - 0s
1604 548 1.14606 33 89 0.90539 1.25257 38.3% 18.3 5s
5509 795 infeasible 53 0.90539 1.03765 14.6% 16.0 10s
Cutting planes:
Gomory: 42
Cover: 5
Implied bound: 24
Projected implied bound: 42
Clique: 1
MIR: 23
Flow cover: 109
Inf proof: 67
Explored 7253 nodes (108148 simplex iterations) in 11.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.90539
Optimal solution found (tolerance 1.00e-02)
Best objective 9.053899149241e-01, best bound 9.077464010649e-01, gap 0.2603%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0hxbf9fs.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt5xmyxfv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.898769
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.715156e+00, 778 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71516 0 60 0.89877 1.71516 90.8% - 0s
0 0 1.67088 0 80 0.89877 1.67088 85.9% - 0s
0 0 1.66273 0 83 0.89877 1.66273 85.0% - 0s
0 0 1.62019 0 106 0.89877 1.62019 80.3% - 0s
0 0 1.61563 0 108 0.89877 1.61563 79.8% - 0s
0 0 1.60036 0 118 0.89877 1.60036 78.1% - 0s
0 0 1.59094 0 113 0.89877 1.59094 77.0% - 0s
0 0 1.58431 0 113 0.89877 1.58431 76.3% - 0s
0 0 1.58280 0 116 0.89877 1.58280 76.1% - 0s
0 0 1.57485 0 106 0.89877 1.57485 75.2% - 0s
0 0 1.56802 0 108 0.89877 1.56802 74.5% - 0s
0 0 1.56590 0 117 0.89877 1.56590 74.2% - 0s
0 0 1.56588 0 119 0.89877 1.56588 74.2% - 0s
0 0 1.56537 0 118 0.89877 1.56537 74.2% - 0s
0 0 1.56536 0 116 0.89877 1.56536 74.2% - 0s
0 0 1.56536 0 116 0.89877 1.56536 74.2% - 0s
0 0 1.56536 0 116 0.89877 1.56536 74.2% - 0s
0 2 1.56536 0 116 0.89877 1.56536 74.2% - 0s
2068 654 1.09240 33 84 0.89877 1.31708 46.5% 16.4 5s
5640 1291 infeasible 53 0.89877 1.13298 26.1% 18.1 10s
9430 416 0.90427 47 59 0.89877 0.94513 5.16% 17.0 15s
Cutting planes:
Gomory: 24
Cover: 4
Implied bound: 34
Projected implied bound: 29
Clique: 2
MIR: 25
Flow cover: 99
Inf proof: 100
Explored 10451 nodes (168774 simplex iterations) in 16.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.898769
Optimal solution found (tolerance 1.00e-02)
Best objective 8.987687767044e-01, best bound 9.064657121614e-01, gap 0.8564%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_rdhjech.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp27degee0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887855
Presolve removed 481 rows and 301 columns
Presolve time: 0.03s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.675963e+00, 841 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67596 0 63 0.88785 1.67596 88.8% - 0s
0 0 1.63270 0 89 0.88785 1.63270 83.9% - 0s
0 0 1.62478 0 87 0.88785 1.62478 83.0% - 0s
0 0 1.58372 0 110 0.88785 1.58372 78.4% - 0s
0 0 1.57314 0 115 0.88785 1.57314 77.2% - 0s
0 0 1.56051 0 120 0.88785 1.56051 75.8% - 0s
0 0 1.55670 0 118 0.88785 1.55670 75.3% - 0s
0 0 1.54823 0 111 0.88785 1.54823 74.4% - 0s
0 0 1.54578 0 122 0.88785 1.54578 74.1% - 0s
0 0 1.53458 0 121 0.88785 1.53458 72.8% - 0s
0 0 1.53170 0 121 0.88785 1.53170 72.5% - 0s
0 0 1.52761 0 122 0.88785 1.52761 72.1% - 0s
0 0 1.52751 0 124 0.88785 1.52751 72.0% - 0s
0 0 1.52397 0 117 0.88785 1.52397 71.6% - 0s
0 0 1.52396 0 119 0.88785 1.52396 71.6% - 0s
0 0 1.52385 0 122 0.88785 1.52385 71.6% - 0s
0 0 1.52385 0 122 0.88785 1.52385 71.6% - 0s
0 0 1.52385 0 114 0.88785 1.52385 71.6% - 0s
0 2 1.52385 0 112 0.88785 1.52385 71.6% - 0s
1637 706 1.11563 39 86 0.88785 1.33664 50.5% 19.1 5s
5030 968 0.93957 47 63 0.88785 1.08933 22.7% 18.9 10s
Cutting planes:
Learned: 1
Gomory: 32
Cover: 6
Implied bound: 41
Projected implied bound: 38
MIR: 26
Flow cover: 118
Flow path: 1
Inf proof: 94
Explored 8680 nodes (143923 simplex iterations) in 14.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.887855
Optimal solution found (tolerance 1.00e-02)
Best objective 8.878549491969e-01, best bound 8.924791154337e-01, gap 0.5208%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdpcx_ywo.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmxfz7ike.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.877711
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.669108e+00, 830 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66911 0 65 0.87771 1.66911 90.2% - 0s
0 0 1.62478 0 92 0.87771 1.62478 85.1% - 0s
0 0 1.61581 0 88 0.87771 1.61581 84.1% - 0s
0 0 1.58189 0 106 0.87771 1.58189 80.2% - 0s
0 0 1.57835 0 109 0.87771 1.57835 79.8% - 0s
0 0 1.54752 0 115 0.87771 1.54752 76.3% - 0s
0 0 1.53959 0 115 0.87771 1.53959 75.4% - 0s
0 0 1.52601 0 115 0.87771 1.52601 73.9% - 0s
0 0 1.52475 0 118 0.87771 1.52475 73.7% - 0s
0 0 1.52472 0 119 0.87771 1.52472 73.7% - 0s
0 0 1.52455 0 118 0.87771 1.52455 73.7% - 0s
0 0 1.52455 0 118 0.87771 1.52455 73.7% - 0s
0 0 1.52455 0 119 0.87771 1.52455 73.7% - 0s
0 0 1.52455 0 119 0.87771 1.52455 73.7% - 0s
0 0 1.52455 0 109 0.87771 1.52455 73.7% - 0s
0 2 1.52455 0 104 0.87771 1.52455 73.7% - 0s
1437 562 0.95789 53 65 0.87771 1.36916 56.0% 21.3 5s
H 2750 834 0.8777383 1.22355 39.4% 18.9 6s
* 3001 912 103 0.8777790 1.19778 36.5% 18.7 7s
5626 941 infeasible 45 0.87778 1.04876 19.5% 16.3 10s
Cutting planes:
Learned: 1
Gomory: 28
Cover: 3
Implied bound: 37
Projected implied bound: 35
Clique: 1
MIR: 17
Flow cover: 108
Inf proof: 62
Explored 8156 nodes (121947 simplex iterations) in 12.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.877779 0.877738 0.877711
Optimal solution found (tolerance 1.00e-02)
Best objective 8.777790262904e-01, best bound 8.863814637669e-01, gap 0.9800%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyzlb0ep6.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfukv7yru.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.852046
Presolve removed 507 rows and 317 columns
Presolve time: 0.04s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.619911e+00, 870 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61991 0 66 0.85205 1.61991 90.1% - 0s
0 0 1.57704 0 88 0.85205 1.57704 85.1% - 0s
0 0 1.56743 0 88 0.85205 1.56743 84.0% - 0s
0 0 1.53479 0 113 0.85205 1.53479 80.1% - 0s
0 0 1.53328 0 107 0.85205 1.53328 80.0% - 0s
0 0 1.53120 0 114 0.85205 1.53120 79.7% - 0s
0 0 1.52758 0 111 0.85205 1.52758 79.3% - 0s
0 0 1.52229 0 111 0.85205 1.52229 78.7% - 0s
0 0 1.52223 0 108 0.85205 1.52223 78.7% - 0s
0 0 1.52148 0 110 0.85205 1.52148 78.6% - 0s
0 0 1.52140 0 107 0.85205 1.52140 78.6% - 0s
0 0 1.51405 0 105 0.85205 1.51405 77.7% - 0s
0 0 1.51314 0 109 0.85205 1.51314 77.6% - 0s
0 0 1.50532 0 108 0.85205 1.50532 76.7% - 0s
0 0 1.50531 0 110 0.85205 1.50531 76.7% - 0s
0 0 1.50347 0 110 0.85205 1.50347 76.5% - 0s
0 0 1.50157 0 110 0.85205 1.50157 76.2% - 0s
0 0 1.49974 0 110 0.85205 1.49974 76.0% - 0s
0 0 1.49969 0 110 0.85205 1.49969 76.0% - 0s
0 0 1.49969 0 102 0.85205 1.49969 76.0% - 0s
0 2 1.49969 0 99 0.85205 1.49969 76.0% - 0s
814 533 1.28087 18 116 0.85205 1.31474 54.3% 21.9 5s
5096 1082 0.93819 57 44 0.85205 1.00647 18.1% 15.6 10s
Cutting planes:
Learned: 1
Gomory: 48
Cover: 9
Implied bound: 31
Projected implied bound: 40
Clique: 1
MIR: 44
Flow cover: 129
Flow path: 3
Inf proof: 78
Zero half: 1
Explored 8304 nodes (125809 simplex iterations) in 13.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.852046
Optimal solution found (tolerance 1.00e-02)
Best objective 8.520464974413e-01, best bound 8.520464974413e-01, gap 0.0000%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp35zapzu8.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwrolj2er.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.828324
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.574950e+00, 1042 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57495 0 69 0.82832 1.57495 90.1% - 0s
0 0 1.53723 0 91 0.82832 1.53723 85.6% - 0s
0 0 1.53002 0 94 0.82832 1.53002 84.7% - 0s
0 0 1.50039 0 109 0.82832 1.50039 81.1% - 0s
0 0 1.49694 0 108 0.82832 1.49694 80.7% - 0s
0 0 1.49233 0 118 0.82832 1.49233 80.2% - 0s
0 0 1.48576 0 121 0.82832 1.48576 79.4% - 0s
0 0 1.47951 0 121 0.82832 1.47951 78.6% - 0s
0 0 1.47825 0 119 0.82832 1.47825 78.5% - 0s
0 0 1.47048 0 112 0.82832 1.47048 77.5% - 0s
0 0 1.46464 0 113 0.82832 1.46464 76.8% - 0s
0 0 1.46241 0 115 0.82832 1.46241 76.6% - 0s
0 0 1.46240 0 125 0.82832 1.46240 76.5% - 0s
0 0 1.46186 0 125 0.82832 1.46186 76.5% - 0s
0 0 1.46186 0 125 0.82832 1.46186 76.5% - 0s
0 0 1.46181 0 126 0.82832 1.46181 76.5% - 0s
0 0 1.46177 0 127 0.82832 1.46177 76.5% - 0s
0 0 1.46177 0 127 0.82832 1.46177 76.5% - 0s
0 2 1.46177 0 117 0.82832 1.46177 76.5% - 0s
1204 601 1.07141 25 108 0.82832 1.33418 61.1% 19.0 5s
5953 1106 0.83915 50 55 0.82832 0.96937 17.0% 14.7 10s
10649 123 infeasible 80 0.82832 0.84109 1.54% 12.6 15s
*11095 0 100 0.8283243 0.83532 0.84% 12.4 15s
Cutting planes:
Learned: 1
Gomory: 18
Cover: 7
Implied bound: 26
Projected implied bound: 36
MIR: 21
Flow cover: 98
Flow path: 1
Inf proof: 92
Explored 11153 nodes (139877 simplex iterations) in 15.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.828324 0.828324
Optimal solution found (tolerance 1.00e-02)
Best objective 8.283243435425e-01, best bound 8.319832055603e-01, gap 0.4417%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppnjuukqs.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo3zs9g8h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.811892
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.601123e+00, 911 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60112 0 70 0.81189 1.60112 97.2% - 0s
0 0 1.56609 0 87 0.81189 1.56609 92.9% - 0s
0 0 1.55908 0 89 0.81189 1.55908 92.0% - 0s
0 0 1.51719 0 117 0.81189 1.51719 86.9% - 0s
0 0 1.51103 0 120 0.81189 1.51103 86.1% - 0s
0 0 1.50100 0 124 0.81189 1.50100 84.9% - 0s
0 0 1.49479 0 125 0.81189 1.49479 84.1% - 0s
0 0 1.49168 0 131 0.81189 1.49168 83.7% - 0s
0 0 1.49155 0 131 0.81189 1.49155 83.7% - 0s
0 0 1.49007 0 133 0.81189 1.49007 83.5% - 0s
0 0 1.49007 0 134 0.81189 1.49007 83.5% - 0s
0 0 1.48552 0 126 0.81189 1.48552 83.0% - 0s
0 0 1.48067 0 128 0.81189 1.48067 82.4% - 0s
0 0 1.47755 0 133 0.81189 1.47755 82.0% - 0s
0 0 1.47613 0 132 0.81189 1.47613 81.8% - 0s
0 0 1.47570 0 140 0.81189 1.47570 81.8% - 0s
0 0 1.47532 0 133 0.81189 1.47532 81.7% - 0s
0 0 1.47522 0 131 0.81189 1.47522 81.7% - 0s
0 0 1.47509 0 130 0.81189 1.47509 81.7% - 0s
0 0 1.47509 0 119 0.81189 1.47509 81.7% - 0s
0 2 1.47509 0 118 0.81189 1.47509 81.7% - 0s
823 535 1.28772 27 104 0.81189 1.34957 66.2% 23.5 5s
H 2292 687 0.8118923 1.24991 54.0% 26.9 8s
2844 890 1.02000 43 81 0.81189 1.21728 49.9% 26.4 10s
7054 1415 0.91979 50 63 0.81189 0.99892 23.0% 19.9 15s
11262 910 infeasible 36 0.81189 0.89675 10.5% 17.9 20s
Cutting planes:
Gomory: 25
Cover: 6
Implied bound: 38
Projected implied bound: 43
Clique: 1
MIR: 29
Flow cover: 143
Flow path: 1
Inf proof: 108
Explored 13025 nodes (225672 simplex iterations) in 22.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.811892 0.811892
Optimal solution found (tolerance 1.00e-02)
Best objective 8.118923402189e-01, best bound 8.145196371242e-01, gap 0.3236%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprcaxf_is.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe9fhdlf7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.800663
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.563268e+00, 921 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56327 0 73 0.80066 1.56327 95.2% - 0s
0 0 1.52623 0 92 0.80066 1.52623 90.6% - 0s
0 0 1.52023 0 97 0.80066 1.52023 89.9% - 0s
0 0 1.48035 0 116 0.80066 1.48035 84.9% - 0s
0 0 1.47914 0 117 0.80066 1.47914 84.7% - 0s
0 0 1.47092 0 131 0.80066 1.47092 83.7% - 0s
0 0 1.46856 0 131 0.80066 1.46856 83.4% - 0s
0 0 1.45917 0 125 0.80066 1.45917 82.2% - 0s
0 0 1.45730 0 130 0.80066 1.45730 82.0% - 0s
0 0 1.44752 0 136 0.80066 1.44752 80.8% - 0s
0 0 1.44518 0 135 0.80066 1.44518 80.5% - 0s
0 0 1.43988 0 138 0.80066 1.43988 79.8% - 0s
0 0 1.43965 0 143 0.80066 1.43965 79.8% - 0s
0 0 1.43863 0 133 0.80066 1.43863 79.7% - 0s
0 0 1.43847 0 133 0.80066 1.43847 79.7% - 0s
0 0 1.43802 0 138 0.80066 1.43802 79.6% - 0s
0 0 1.43801 0 142 0.80066 1.43801 79.6% - 0s
0 0 1.43793 0 145 0.80066 1.43793 79.6% - 0s
0 0 1.43793 0 145 0.80066 1.43793 79.6% - 0s
0 0 1.43793 0 145 0.80066 1.43793 79.6% - 0s
0 2 1.43793 0 145 0.80066 1.43793 79.6% - 0s
867 577 1.25773 24 99 0.80066 1.31338 64.0% 23.0 5s
3770 1048 infeasible 43 0.80066 1.07745 34.6% 20.2 10s
7258 1467 infeasible 45 0.80066 0.96193 20.1% 17.9 15s
9891 1123 0.85608 62 45 0.80066 0.90449 13.0% 18.1 20s
12936 107 cutoff 51 0.80066 0.81192 1.41% 17.4 25s
Cutting planes:
Learned: 1
Gomory: 33
Cover: 7
Implied bound: 40
Projected implied bound: 49
Clique: 2
MIR: 25
Flow cover: 150
Flow path: 1
Inf proof: 139
Explored 13436 nodes (230553 simplex iterations) in 25.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.800663
Optimal solution found (tolerance 1.00e-02)
Best objective 8.006627196487e-01, best bound 8.064212118675e-01, gap 0.7192%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxs06oq04.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm6hmv012.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.783074
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.521463e+00, 1110 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52146 0 74 0.78307 1.52146 94.3% - 0s
0 0 1.48545 0 96 0.78307 1.48545 89.7% - 0s
0 0 1.47778 0 95 0.78307 1.47778 88.7% - 0s
0 0 1.45191 0 124 0.78307 1.45191 85.4% - 0s
0 0 1.44839 0 117 0.78307 1.44839 85.0% - 0s
0 0 1.44288 0 117 0.78307 1.44288 84.3% - 0s
0 0 1.43927 0 119 0.78307 1.43927 83.8% - 0s
0 0 1.43655 0 112 0.78307 1.43655 83.4% - 0s
0 0 1.43530 0 119 0.78307 1.43530 83.3% - 0s
0 0 1.42962 0 115 0.78307 1.42962 82.6% - 0s
0 0 1.42904 0 121 0.78307 1.42904 82.5% - 0s
0 0 1.41728 0 121 0.78307 1.41728 81.0% - 0s
0 0 1.41720 0 122 0.78307 1.41720 81.0% - 0s
0 0 1.41680 0 119 0.78307 1.41680 80.9% - 0s
0 0 1.41676 0 121 0.78307 1.41676 80.9% - 0s
0 0 1.41670 0 122 0.78307 1.41670 80.9% - 0s
0 0 1.41661 0 122 0.78307 1.41661 80.9% - 0s
0 0 1.41656 0 123 0.78307 1.41656 80.9% - 0s
0 0 1.41656 0 108 0.78307 1.41656 80.9% - 0s
0 2 1.41656 0 107 0.78307 1.41656 80.9% - 0s
989 562 1.01278 65 92 0.78307 1.26486 61.5% 22.5 5s
4150 1475 1.08005 41 105 0.78307 1.12249 43.3% 21.2 10s
7715 2062 cutoff 61 0.78307 1.00530 28.4% 19.4 15s
10820 1855 0.81280 93 45 0.78307 0.92612 18.3% 19.2 20s
13397 1828 0.79281 42 68 0.78307 0.88512 13.0% 18.8 25s
16222 976 infeasible 46 0.78307 0.83681 6.86% 19.0 30s
*17253 632 128 0.7830741 0.81707 4.34% 18.7 31s
Cutting planes:
Learned: 1
Gomory: 30
Cover: 5
Implied bound: 67
Projected implied bound: 41
MIR: 31
Flow cover: 129
Flow path: 2
Inf proof: 178
Explored 18392 nodes (335219 simplex iterations) in 33.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.783074 0.783074
Optimal solution found (tolerance 1.00e-02)
Best objective 7.830741412882e-01, best bound 7.908808048500e-01, gap 0.9969%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsrky5p14.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3deif8q9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.768364
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.549212e+00, 1044 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54921 0 79 0.76836 1.54921 102% - 0s
0 0 1.51720 0 106 0.76836 1.51720 97.5% - 0s
0 0 1.51073 0 108 0.76836 1.51073 96.6% - 0s
0 0 1.48299 0 130 0.76836 1.48299 93.0% - 0s
0 0 1.47715 0 132 0.76836 1.47715 92.2% - 0s
0 0 1.46891 0 144 0.76836 1.46891 91.2% - 0s
0 0 1.46647 0 138 0.76836 1.46647 90.9% - 0s
0 0 1.45827 0 134 0.76836 1.45827 89.8% - 0s
0 0 1.45654 0 142 0.76836 1.45654 89.6% - 0s
0 0 1.44755 0 136 0.76836 1.44755 88.4% - 0s
0 0 1.44531 0 136 0.76836 1.44531 88.1% - 0s
0 0 1.44053 0 137 0.76836 1.44053 87.5% - 0s
0 0 1.44051 0 135 0.76836 1.44051 87.5% - 0s
0 0 1.43769 0 144 0.76836 1.43769 87.1% - 0s
0 0 1.43747 0 141 0.76836 1.43747 87.1% - 0s
0 0 1.43562 0 142 0.76836 1.43562 86.8% - 0s
0 0 1.43537 0 144 0.76836 1.43537 86.8% - 0s
0 0 1.43529 0 140 0.76836 1.43529 86.8% - 0s
0 0 1.43529 0 140 0.76836 1.43529 86.8% - 0s
0 0 1.43528 0 146 0.76836 1.43528 86.8% - 0s
0 0 1.43528 0 128 0.76836 1.43528 86.8% - 0s
0 2 1.43528 0 125 0.76836 1.43528 86.8% - 0s
759 546 1.30414 12 125 0.76836 1.30414 69.7% 23.4 5s
2594 728 1.08919 29 115 0.76836 1.20235 56.5% 27.0 10s
H 4592 1101 0.7683645 1.09025 41.9% 25.2 14s
4680 1085 0.95773 58 68 0.76836 1.08970 41.8% 25.3 15s
8333 1782 cutoff 47 0.76836 0.99292 29.2% 22.3 20s
11348 2136 0.78116 51 62 0.76836 0.93688 21.9% 20.6 25s
14344 1882 0.77180 56 66 0.76836 0.88018 14.6% 20.2 30s
17146 1182 cutoff 57 0.76836 0.83152 8.22% 20.0 35s
Cutting planes:
Learned: 4
Gomory: 55
Cover: 13
Implied bound: 67
Projected implied bound: 51
MIR: 52
StrongCG: 1
Flow cover: 173
Flow path: 2
Inf proof: 198
Zero half: 1
Explored 19477 nodes (375537 simplex iterations) in 38.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.768364 0.768364
Optimal solution found (tolerance 1.00e-02)
Best objective 7.683644783723e-01, best bound 7.753827988986e-01, gap 0.9134%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp94_vc1m5.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgpljteig.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.756368
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.522671e+00, 971 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52267 0 82 0.75637 1.52267 101% - 0s
0 0 1.49293 0 108 0.75637 1.49293 97.4% - 0s
0 0 1.48986 0 110 0.75637 1.48986 97.0% - 0s
0 0 1.44688 0 134 0.75637 1.44688 91.3% - 0s
0 0 1.44248 0 134 0.75637 1.44248 90.7% - 0s
0 0 1.43206 0 144 0.75637 1.43206 89.3% - 0s
0 0 1.43114 0 142 0.75637 1.43114 89.2% - 0s
0 0 1.42191 0 136 0.75637 1.42191 88.0% - 0s
0 0 1.41966 0 143 0.75637 1.41966 87.7% - 0s
0 0 1.41820 0 144 0.75637 1.41820 87.5% - 0s
0 0 1.41777 0 134 0.75637 1.41777 87.4% - 0s
0 0 1.41531 0 141 0.75637 1.41531 87.1% - 0s
0 0 1.41531 0 135 0.75637 1.41531 87.1% - 0s
0 0 1.41458 0 132 0.75637 1.41458 87.0% - 0s
0 0 1.41450 0 133 0.75637 1.41450 87.0% - 0s
0 0 1.41297 0 144 0.75637 1.41297 86.8% - 0s
0 0 1.41284 0 143 0.75637 1.41284 86.8% - 0s
0 0 1.41046 0 144 0.75637 1.41046 86.5% - 0s
0 0 1.40976 0 144 0.75637 1.40976 86.4% - 0s
0 0 1.40976 0 146 0.75637 1.40976 86.4% - 0s
0 0 1.40975 0 146 0.75637 1.40975 86.4% - 0s
0 0 1.40974 0 145 0.75637 1.40974 86.4% - 0s
0 0 1.40974 0 134 0.75637 1.40974 86.4% - 0s
0 2 1.40974 0 131 0.75637 1.40974 86.4% - 0s
755 530 1.33352 17 136 0.75637 1.33352 76.3% 22.9 5s
2545 847 infeasible 57 0.75637 1.25031 65.3% 25.9 10s
H 4731 1440 0.7563681 1.07909 42.7% 23.9 14s
4734 1426 infeasible 43 0.75637 1.07909 42.7% 23.9 15s
8499 2623 0.90099 46 98 0.75637 1.02240 35.2% 21.7 20s
12066 3367 0.89328 62 74 0.75637 0.98026 29.6% 20.9 25s
H12769 3498 0.7563681 0.97302 28.6% 20.8 27s
13836 3495 infeasible 42 0.75637 0.96371 27.4% 20.8 30s
16323 3232 infeasible 50 0.75637 0.93178 23.2% 20.8 35s
18952 2679 0.87896 48 104 0.75637 0.89503 18.3% 20.8 40s
21301 1662 0.84409 70 52 0.75637 0.84409 11.6% 20.6 45s
Cutting planes:
Learned: 1
Gomory: 49
Cover: 12
Implied bound: 49
Projected implied bound: 53
Clique: 1
MIR: 32
Flow cover: 147
Flow path: 3
Inf proof: 219
Explored 24464 nodes (469711 simplex iterations) in 48.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.756368 0.756368 0.756368
Optimal solution found (tolerance 1.00e-02)
Best objective 7.563681006887e-01, best bound 7.622963647514e-01, gap 0.7838%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9d1fr4z4.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpja9k8aju.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.753816
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.526707e+00, 1111 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52671 0 81 0.75382 1.52671 103% - 0s
0 0 1.49428 0 105 0.75382 1.49428 98.2% - 0s
0 0 1.49134 0 105 0.75382 1.49134 97.8% - 0s
0 0 1.44361 0 126 0.75382 1.44361 91.5% - 0s
0 0 1.43653 0 125 0.75382 1.43653 90.6% - 0s
0 0 1.42662 0 138 0.75382 1.42662 89.3% - 0s
0 0 1.42598 0 136 0.75382 1.42598 89.2% - 0s
0 0 1.42295 0 133 0.75382 1.42295 88.8% - 0s
0 0 1.41679 0 138 0.75382 1.41679 87.9% - 0s
0 0 1.41593 0 136 0.75382 1.41593 87.8% - 0s
0 0 1.41593 0 140 0.75382 1.41593 87.8% - 0s
0 0 1.41581 0 141 0.75382 1.41581 87.8% - 0s
0 0 1.41580 0 139 0.75382 1.41580 87.8% - 0s
0 0 1.41578 0 141 0.75382 1.41578 87.8% - 0s
0 0 1.41578 0 129 0.75382 1.41578 87.8% - 0s
0 2 1.41578 0 126 0.75382 1.41578 87.8% - 0s
781 549 1.31975 11 142 0.75382 1.31975 75.1% 21.7 5s
* 1782 741 169 0.7538722 1.26949 68.4% 26.2 8s
2139 783 1.07082 16 153 0.75387 1.23807 64.2% 26.6 10s
4427 1410 infeasible 34 0.75387 1.15407 53.1% 23.5 15s
8250 2117 0.97554 39 109 0.75387 1.03661 37.5% 19.8 20s
11757 2521 infeasible 42 0.75387 0.96646 28.2% 18.3 25s
H14407 2369 0.7538722 0.91893 21.9% 17.6 29s
14408 2372 0.83637 49 82 0.75387 0.91893 21.9% 17.6 30s
16387 1581 infeasible 67 0.75387 0.86077 14.2% 17.5 35s
*17980 941 118 0.7539531 0.81404 7.97% 17.3 37s
*19040 531 89 0.7542417 0.78449 4.01% 17.0 39s
19050 472 0.78433 61 67 0.75424 0.78433 3.99% 17.0 40s
*19214 479 90 0.7547113 0.78256 3.69% 17.0 40s
Cutting planes:
Learned: 1
Gomory: 49
Cover: 6
Implied bound: 49
Projected implied bound: 66
Clique: 1
MIR: 50
Flow cover: 182
Flow path: 1
Inf proof: 196
Explored 19794 nodes (336368 simplex iterations) in 41.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.754711 0.754242 0.753953 ... 0.753816
Optimal solution found (tolerance 1.00e-02)
Best objective 7.547112847580e-01, best bound 7.617094615318e-01, gap 0.9273%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphj8rxzjo.pyomo.lp
Reading time = 0.02 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdxlyx2bq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.737468
Presolve removed 611 rows and 381 columns
Presolve time: 0.05s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.500516e+00, 1074 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50052 0 84 0.73747 1.50052 103% - 0s
0 0 1.47489 0 111 0.73747 1.47489 100% - 0s
0 0 1.46999 0 112 0.73747 1.46999 99.3% - 0s
0 0 1.42370 0 136 0.73747 1.42370 93.1% - 0s
0 0 1.42108 0 136 0.73747 1.42108 92.7% - 0s
0 0 1.41704 0 140 0.73747 1.41704 92.1% - 0s
0 0 1.41476 0 141 0.73747 1.41476 91.8% - 0s
0 0 1.40901 0 141 0.73747 1.40901 91.1% - 0s
0 0 1.40491 0 141 0.73747 1.40491 90.5% - 0s
0 0 1.40470 0 144 0.73747 1.40470 90.5% - 0s
0 0 1.40469 0 143 0.73747 1.40469 90.5% - 0s
0 0 1.40385 0 140 0.73747 1.40385 90.4% - 0s
0 0 1.40113 0 143 0.73747 1.40113 90.0% - 0s
0 0 1.40104 0 138 0.73747 1.40104 90.0% - 0s
0 0 1.40094 0 145 0.73747 1.40094 90.0% - 0s
0 0 1.40094 0 145 0.73747 1.40094 90.0% - 0s
0 0 1.40092 0 145 0.73747 1.40092 90.0% - 0s
0 0 1.40092 0 145 0.73747 1.40092 90.0% - 0s
0 2 1.40092 0 130 0.73747 1.40092 90.0% - 0s
787 580 1.28018 10 153 0.73747 1.29964 76.2% 25.8 5s
2607 753 0.94073 36 111 0.73747 1.15404 56.5% 26.4 10s
H 4437 1454 0.7374681 1.06632 44.6% 22.8 13s
4944 1528 0.95685 34 115 0.73747 1.05459 43.0% 23.0 15s
8305 2720 0.96131 32 128 0.73747 1.00103 35.7% 22.2 20s
11077 3073 infeasible 32 0.73747 0.95519 29.5% 21.7 25s
13932 2785 cutoff 36 0.73747 0.89529 21.4% 20.8 30s
16732 1929 infeasible 55 0.73747 0.84075 14.0% 20.0 35s
18490 1014 cutoff 38 0.73747 0.79689 8.06% 19.3 40s
*20825 70 122 0.7375885 0.74371 0.83% 18.4 43s
Cutting planes:
Learned: 1
Gomory: 46
Cover: 9
Implied bound: 55
Projected implied bound: 57
Clique: 1
MIR: 43
StrongCG: 1
Flow cover: 180
Flow path: 2
Inf proof: 192
Explored 20847 nodes (385718 simplex iterations) in 43.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.737588 0.737468 0.737468
Optimal solution found (tolerance 1.00e-02)
Best objective 7.375884958441e-01, best bound 7.437143800709e-01, gap 0.8305%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu8vel28k.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxu9knw5t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.734049
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.485491e+00, 1107 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48549 0 86 0.73405 1.48549 102% - 0s
0 0 1.45557 0 114 0.73405 1.45557 98.3% - 0s
0 0 1.45022 0 117 0.73405 1.45022 97.6% - 0s
0 0 1.42079 0 135 0.73405 1.42079 93.6% - 0s
0 0 1.41597 0 133 0.73405 1.41597 92.9% - 0s
0 0 1.40286 0 146 0.73405 1.40286 91.1% - 0s
0 0 1.40028 0 149 0.73405 1.40028 90.8% - 0s
0 0 1.39591 0 154 0.73405 1.39591 90.2% - 0s
0 0 1.39501 0 151 0.73405 1.39501 90.0% - 0s
0 0 1.38779 0 154 0.73405 1.38779 89.1% - 0s
0 0 1.38291 0 150 0.73405 1.38291 88.4% - 0s
0 0 1.38180 0 156 0.73405 1.38180 88.2% - 0s
0 0 1.38179 0 156 0.73405 1.38179 88.2% - 0s
0 0 1.37892 0 156 0.73405 1.37892 87.9% - 0s
0 0 1.37892 0 157 0.73405 1.37892 87.9% - 0s
0 0 1.37732 0 157 0.73405 1.37732 87.6% - 0s
0 0 1.37732 0 141 0.73405 1.37732 87.6% - 0s
0 2 1.37732 0 140 0.73405 1.37732 87.6% - 0s
770 542 1.27473 11 141 0.73405 1.27525 73.7% 21.3 5s
3571 1025 infeasible 50 0.73405 1.06588 45.2% 19.4 10s
6221 1834 0.79128 45 113 0.73405 1.01056 37.7% 19.9 15s
9222 2200 infeasible 33 0.73405 0.95372 29.9% 19.9 20s
12285 2353 infeasible 52 0.73405 0.89383 21.8% 19.2 25s
15281 2144 infeasible 53 0.73405 0.84519 15.1% 18.1 30s
18009 1690 infeasible 53 0.73405 0.81015 10.4% 17.7 35s
21053 165 infeasible 52 0.73405 0.74741 1.82% 16.9 40s
Cutting planes:
Learned: 1
Gomory: 41
Cover: 7
Implied bound: 59
Projected implied bound: 57
MIR: 39
Flow cover: 143
Flow path: 3
Inf proof: 199
Explored 21401 nodes (360816 simplex iterations) in 40.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.734049
Optimal solution found (tolerance 1.00e-02)
Best objective 7.340492806846e-01, best bound 7.382955224316e-01, gap 0.5785%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp03__o20g.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8bnpnvr4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.730626
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.483067e+00, 1175 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48307 0 88 0.73063 1.48307 103% - 0s
0 0 1.45711 0 113 0.73063 1.45711 99.4% - 0s
0 0 1.45247 0 114 0.73063 1.45247 98.8% - 0s
0 0 1.40561 0 142 0.73063 1.40561 92.4% - 0s
0 0 1.40033 0 143 0.73063 1.40033 91.7% - 0s
0 0 1.39740 0 135 0.73063 1.39740 91.3% - 0s
0 0 1.39369 0 140 0.73063 1.39369 90.8% - 0s
0 0 1.38527 0 139 0.73063 1.38527 89.6% - 0s
0 0 1.38372 0 147 0.73063 1.38372 89.4% - 0s
0 0 1.38139 0 153 0.73063 1.38139 89.1% - 0s
0 0 1.38124 0 152 0.73063 1.38124 89.0% - 0s
0 0 1.37718 0 144 0.73063 1.37718 88.5% - 0s
0 0 1.37565 0 150 0.73063 1.37565 88.3% - 0s
0 0 1.37473 0 147 0.73063 1.37473 88.2% - 0s
0 0 1.37326 0 149 0.73063 1.37326 88.0% - 0s
0 0 1.37303 0 152 0.73063 1.37303 87.9% - 0s
0 0 1.37281 0 147 0.73063 1.37281 87.9% - 0s
0 0 1.37173 0 148 0.73063 1.37173 87.7% - 0s
0 0 1.37173 0 149 0.73063 1.37173 87.7% - 0s
0 0 1.37157 0 153 0.73063 1.37157 87.7% - 0s
0 0 1.37157 0 153 0.73063 1.37157 87.7% - 0s
0 0 1.37156 0 154 0.73063 1.37156 87.7% - 0s
0 0 1.37156 0 141 0.73063 1.37156 87.7% - 0s
0 2 1.37156 0 141 0.73063 1.37156 87.7% - 0s
760 523 1.29134 14 145 0.73063 1.29134 76.7% 25.1 5s
3271 1271 0.82169 87 96 0.73063 1.13454 55.3% 19.2 10s
7137 2814 0.77296 76 87 0.73063 1.04730 43.3% 16.6 15s
H 8121 3166 0.7306256 1.03110 41.1% 16.2 16s
H 8123 3166 0.7306256 1.03110 41.1% 16.2 16s
10882 4173 0.80429 58 114 0.73063 1.00575 37.7% 15.6 20s
14454 5214 0.88402 64 100 0.73063 0.98122 34.3% 15.7 25s
17390 5466 0.77412 87 98 0.73063 0.95839 31.2% 16.3 30s
20759 5928 0.92262 62 141 0.73063 0.93949 28.6% 16.4 48s
20767 5933 0.88713 67 185 0.73063 0.93949 28.6% 16.4 50s
20775 5939 0.74524 68 180 0.73063 0.93949 28.6% 16.4 55s
20784 5945 0.80934 79 199 0.73063 0.93949 28.6% 16.4 60s
H20788 5649 0.7306256 0.93949 28.6% 16.4 63s
20794 5653 0.93039 43 211 0.73063 0.93949 28.6% 16.4 65s
20800 5657 0.91026 40 213 0.73063 0.93949 28.6% 16.4 70s
20807 5662 0.79733 45 212 0.73063 0.93949 28.6% 16.3 75s
20815 5667 0.86081 66 226 0.73063 0.93949 28.6% 16.3 80s
20821 5671 0.81692 51 234 0.73063 0.93949 28.6% 16.3 85s
20827 5675 0.79784 63 240 0.73063 0.93949 28.6% 16.3 90s
20834 5680 0.83017 73 232 0.73063 0.93949 28.6% 16.3 95s
20842 5685 0.82527 70 242 0.73063 0.93949 28.6% 16.3 100s
20848 5689 0.93638 54 254 0.73063 0.93949 28.6% 16.3 106s
20852 5692 0.91938 57 248 0.73063 0.93949 28.6% 16.3 110s
20858 5696 0.75492 55 234 0.73063 0.93949 28.6% 16.3 115s
20865 5701 0.88800 58 247 0.73063 0.93949 28.6% 16.3 120s
20870 5704 0.77169 82 236 0.73063 0.93949 28.6% 16.3 126s
20876 5708 0.77368 50 242 0.73063 0.93949 28.6% 16.3 130s
20881 5711 0.74466 79 245 0.73063 0.93949 28.6% 16.3 135s
20886 5715 0.78658 84 238 0.73063 0.93949 28.6% 16.3 141s
20891 5718 0.83292 75 252 0.73063 0.93949 28.6% 16.3 145s
20895 5721 0.79353 70 258 0.73063 0.93949 28.6% 16.3 151s
20899 5723 0.91036 49 255 0.73063 0.93949 28.6% 16.3 155s
20904 5727 0.78293 65 256 0.73063 0.93949 28.6% 16.3 160s
20909 5730 0.89260 53 254 0.73063 0.93949 28.6% 16.3 165s
20918 5736 0.89621 71 249 0.73063 0.93949 28.6% 16.3 170s
20923 5739 0.85578 69 245 0.73063 0.93949 28.6% 16.3 175s
20931 5745 0.84500 72 244 0.73063 0.93949 28.6% 16.3 180s
20935 5747 0.76663 86 253 0.73063 0.93949 28.6% 16.2 185s
20940 5751 0.80896 52 240 0.73063 0.93949 28.6% 16.2 190s
20942 5753 0.93949 27 212 0.73063 0.93949 28.6% 18.5 195s
20946 5753 0.89541 29 166 0.73063 0.93949 28.6% 18.5 200s
21009 5772 0.75937 40 150 0.73063 0.93949 28.6% 18.6 205s
21390 5779 0.90658 40 205 0.73063 0.93949 28.6% 19.6 210s
21799 5818 0.89859 43 181 0.73063 0.93839 28.4% 20.8 215s
22314 5850 infeasible 50 0.73063 0.92196 26.2% 22.0 220s
22727 5807 0.76320 56 115 0.73063 0.91147 24.8% 23.2 225s
23303 5735 cutoff 45 0.73063 0.89708 22.8% 24.3 230s
23699 5678 0.73398 61 105 0.73063 0.89275 22.2% 24.9 235s
24430 5603 0.86060 57 138 0.73063 0.87758 20.1% 25.9 240s
25189 5451 0.81951 59 132 0.73063 0.85462 17.0% 26.7 245s
26216 5331 cutoff 66 0.73063 0.83660 14.5% 27.0 254s
26331 5240 0.81729 52 142 0.73063 0.83565 14.4% 27.0 255s
27346 4920 infeasible 66 0.73063 0.81459 11.5% 27.2 260s
28797 4556 cutoff 72 0.73063 0.79473 8.77% 27.2 265s
30241 3684 infeasible 83 0.73063 0.76502 4.71% 27.2 270s
31940 2516 0.73744 61 94 0.73063 0.74412 1.85% 26.8 275s
Cutting planes:
Learned: 2
Gomory: 162
Cover: 18
Implied bound: 61
Projected implied bound: 67
Clique: 2
MIR: 198
StrongCG: 6
Flow cover: 631
Flow path: 4
Inf proof: 91
Zero half: 2
Network: 1
Explored 32434 nodes (867721 simplex iterations) in 276.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.730626 0.730626 0.730626 0.730626
Optimal solution found (tolerance 1.00e-02)
Best objective 7.306255986390e-01, best bound 7.372422162739e-01, gap 0.9056%
Run 1
Seed for training 547
Seed for simulation 155
direc: array([[-3.27058432, 3.96244952, 1.22260427],
[-8.97919538, 48.31340315, 11.96185968],
[ 0.14425092, 0.98871055, 0. ]])
fopt: 0.6809175771251691
fun: -0.6779382078347209
message: 'Optimization terminated successfully.'
nfev: 1176
nit: 15
status: 0
success: True
x: array([ 80.65397267, 209.00000204, 108. ])
xopt: array([ 81., 209., 109.])
zopt: array([ 81., 290., 399.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpae5knhv2.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphryetqzd.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.680918
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.376584e+00, 1111 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37658 0 86 0.68092 1.37658 102% - 0s
0 0 1.35311 0 97 0.68092 1.35311 98.7% - 0s
0 0 1.35206 0 100 0.68092 1.35206 98.6% - 0s
0 0 1.30006 0 114 0.68092 1.30006 90.9% - 0s
0 0 1.29304 0 109 0.68092 1.29304 89.9% - 0s
0 0 1.27844 0 129 0.68092 1.27844 87.8% - 0s
0 0 1.27823 0 130 0.68092 1.27823 87.7% - 0s
0 0 1.27024 0 144 0.68092 1.27024 86.5% - 0s
0 0 1.26978 0 148 0.68092 1.26978 86.5% - 0s
0 0 1.26780 0 153 0.68092 1.26780 86.2% - 0s
0 0 1.26734 0 149 0.68092 1.26734 86.1% - 0s
0 0 1.26517 0 140 0.68092 1.26517 85.8% - 0s
0 0 1.26517 0 140 0.68092 1.26517 85.8% - 0s
0 0 1.26267 0 145 0.68092 1.26267 85.4% - 0s
0 0 1.26267 0 145 0.68092 1.26267 85.4% - 0s
0 0 1.26017 0 161 0.68092 1.26017 85.1% - 0s
0 0 1.26017 0 161 0.68092 1.26017 85.1% - 0s
0 0 1.25920 0 164 0.68092 1.25920 84.9% - 0s
0 0 1.25920 0 165 0.68092 1.25920 84.9% - 0s
0 0 1.25918 0 165 0.68092 1.25918 84.9% - 0s
0 0 1.25918 0 115 0.68092 1.25918 84.9% - 0s
0 2 1.25918 0 114 0.68092 1.25918 84.9% - 0s
1068 609 1.14762 17 103 0.68092 1.17235 72.2% 21.1 5s
* 1329 634 173 0.6845859 1.17235 71.2% 19.2 5s
H 2332 842 0.7731508 1.16580 50.8% 19.3 8s
3493 1236 1.07822 27 115 0.77315 1.14172 47.7% 18.7 10s
8117 2325 infeasible 37 0.77315 1.01753 31.6% 13.2 15s
*11130 3234 117 0.7824381 0.99622 27.3% 11.7 17s
*11994 3417 96 0.7864168 0.98733 25.5% 11.5 18s
*12572 3531 98 0.7865371 0.98322 25.0% 11.5 19s
12895 3540 0.83984 50 67 0.78654 0.97928 24.5% 11.5 20s
*14818 3536 91 0.7889407 0.95349 20.9% 11.2 22s
*16710 3524 90 0.7899472 0.93310 18.1% 11.1 24s
17145 3538 infeasible 68 0.78995 0.92962 17.7% 11.0 25s
*21534 2968 80 0.7907387 0.87775 11.0% 10.4 29s
21564 2911 0.80191 86 30 0.79074 0.87699 10.9% 10.4 30s
H23940 1958 0.7912317 0.83984 6.14% 10.2 33s
25134 1305 cutoff 48 0.79123 0.81999 3.63% 10.1 35s
H25826 1092 0.7914112 0.80998 2.35% 10.0 36s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 13
Projected implied bound: 15
MIR: 8
Flow cover: 31
Inf proof: 30
Explored 27975 nodes (276940 simplex iterations) in 38.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.791411 0.791232 0.790739 ... 0.684586
Optimal solution found (tolerance 0.00e+00)
Best objective 7.914112294696e-01, best bound 7.914112294696e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_yokk23v.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpje4b7ft_.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 574 rows and 428 columns
Presolve time: 0.00s
Presolved: 372 rows, 383 columns, 1596 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.3446180e+02 6.651720e+03 0.000000e+00 0s
249 1.3270443e+01 0.000000e+00 0.000000e+00 0s
Solved in 249 iterations and 0.01 seconds
Optimal objective 1.327044280e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.09826441, 0.01393968, 0.01393968]])
fopt: 1.549465605952744
fun: -1.5572122496871588
message: 'Optimization terminated successfully.'
nfev: 145
nit: 2
status: 0
success: True
x: array([15.00000217, -0.99991384, -0.99991384])
xopt: array([15., 0., 0.])
zopt: array([15., 15., 15.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06982233, 0.0041531 , 0.00506796]])
fopt: 0.9676703233976016
fun: -0.9779360529364248
message: 'Optimization terminated successfully.'
nfev: 264
nit: 4
status: 0
success: True
x: array([28.02890267, -0.99508996, -0.99858681])
xopt: array([28., 0., 0.])
zopt: array([28., 28., 28.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[-0.05391463, 0.11209977, 0.00201567],
[ 0.00935486, -0.13436708, -0.03235969]])
fopt: 1.0990895399878209
fun: -1.1114249810582353
message: 'Optimization terminated successfully.'
nfev: 390
nit: 6
status: 0
success: True
x: array([ 44.00624528, -86.90089021, -0.81725122])
xopt: array([44., 0., 0.])
zopt: array([44., 44., 44.])
*******************************************
Period: 4
direc: array([[ 3.68077646e-06, -1.16881762e-07, 5.88211550e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.73565309e-10, 3.90486579e-09, -1.25449261e-04]])
fopt: 1.332286616091316
fun: -1.3389353575720608
message: 'Optimization terminated successfully.'
nfev: 344
nit: 4
status: 0
success: True
x: array([63.57572906, -0.98776456, 2.00600335])
xopt: array([63., 0., 2.])
zopt: array([63., 63., 65.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.59551140e-02, -7.05077541e-09, 2.79227790e-03]])
fopt: 1.3530090839376077
fun: -1.3587528583425492
message: 'Optimization terminated successfully.'
nfev: 163
nit: 2
status: 0
success: True
x: array([ 85.09274332, 1.00003603, -12.86282883])
xopt: array([85., 1., 0.])
zopt: array([85., 86., 86.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1487
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1516
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.16306166e-01, -1.54792212e-03, 9.45440416e-04]])
fopt: 1.2514619123212554
fun: -1.2560758319903642
message: 'Optimization terminated successfully.'
nfev: 241
nit: 3
status: 0
success: True
x: array([142.18073543, 2.00218163, -1.24092428])
xopt: array([142., 2., 0.])
zopt: array([142., 144., 144.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1506
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.59769740e-04, -2.89561171e-07, -0.00000000e+00]])
fopt: 1.030683195603287
fun: -1.0318814963553673
message: 'Optimization terminated successfully.'
nfev: 367
nit: 4
status: 0
success: True
x: array([182.27181103, 1.13042676, -0.61766105])
xopt: array([182., 1., 0.])
zopt: array([182., 183., 183.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.18466499e-07, 4.17180384e-09, 2.24679124e-16]])
fopt: 0.9333777192681707
fun: -0.9353089213920214
message: 'Optimization terminated successfully.'
nfev: 361
nit: 3
status: 0
success: True
x: array([197.19007354, 2.00071688, 1.00000005])
xopt: array([197., 2., 1.])
zopt: array([197., 199., 200.])
*******************************************
Period: 12
direc: array([[-3.63940128, -0.01872015, -0.0379126 ],
[-0. , 0. , 0. ],
[ 0. , 4. , 0. ]])
fopt: 0.8552359936048092
fun: -0.8519943331023435
message: 'Optimization terminated successfully.'
nfev: 561
nit: 6
status: 0
success: True
x: array([195.69060364, 14.00143886, 5.00685722])
xopt: array([195., 14., 6.])
zopt: array([195., 209., 215.])
*******************************************
Period: 13
direc: array([[ 2.52668736e-02, 1.27031897e-04, 3.37005662e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.11876487e-11, -1.62101160e-12, -3.63131735e-08]])
fopt: 0.9413599003389108
fun: -0.9365522151833133
message: 'Optimization terminated successfully.'
nfev: 326
nit: 3
status: 0
success: True
x: array([199.92707193, 2.00131327, 33.07227199])
xopt: array([199., 2., 34.])
zopt: array([199., 201., 235.])
*******************************************
Period: 14
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-3.22781747, 2.859847 , 1.93070984]])
fopt: 1.262565704187816
fun: -1.260768206748726
message: 'Optimization terminated successfully.'
nfev: 447
nit: 7
status: 0
success: True
x: array([ 91.39348153, 102.01272755, 98.21243314])
xopt: array([ 91., 103., 98.])
zopt: array([ 91., 194., 292.])
*******************************************
Period: 15
direc: array([[1.85781361e-02, 8.00722082e-05, 1.60144418e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.31392807e-01, 1.32161881e+01, 2.50841272e+01]])
fopt: 0.6603143596059352
fun: -0.656913735446771
message: 'Optimization terminated successfully.'
nfev: 397
nit: 4
status: 0
success: True
x: array([233.28581856, 16.27668765, 30.09694558])
xopt: array([233., 16., 31.])
zopt: array([233., 249., 280.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.53909964, -0.00889712, 2.01096907]])
fopt: 0.9972948730742961
fun: -0.9990966132219878
message: 'Optimization terminated successfully.'
nfev: 548
nit: 7
status: 0
success: True
x: array([ 1.93993171e+02, -9.51730473e-04, 1.06000092e+02])
xopt: array([194., 0., 106.])
zopt: array([194., 194., 300.])
*******************************************
Period: 17
direc: array([[-1.97605171e+00, 8.39784680e+00, 5.66081257e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.38222840e-06, 1.11771117e-14, 5.96599756e-09]])
fopt: 0.9932381537656987
fun: -0.9915334332806047
message: 'Optimization terminated successfully.'
nfev: 855
nit: 9
status: 0
success: True
x: array([180.96798013, 13.00000219, 125.62449836])
xopt: array([180., 14., 125.])
zopt: array([180., 194., 319.])
*******************************************
Period: 18
direc: array([[3.76164366e-01, 1.49133603e-03, 3.00378948e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.24634196e-01, 1.04873611e-04, 1.24412011e+00]])
fopt: 0.3170090556606569
fun: -0.3134284687948645
message: 'Optimization terminated successfully.'
nfev: 404
nit: 4
status: 0
success: True
x: array([253.96304006, 2.00003019, 5.26071784])
xopt: array([253., 2., 6.])
zopt: array([253., 255., 261.])
*******************************************
Period: 19
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.84989516e-08, 7.91298171e-02],
[ 0.00000000e+00, 1.08029485e-06, -2.12534428e-15]])
fopt: 0.573835657062296
fun: -0.6581369767630844
message: 'Optimization terminated successfully.'
nfev: 549
nit: 6
status: 0
success: True
x: array([253.33482494, -54.60088886, 103.20044906])
xopt: array([253., 0., 104.])
zopt: array([253., 253., 357.])
*******************************************
Period: 20
direc: array([[ 3.08593893e-07, 3.84771776e+01, 8.01570017e+01],
[-3.13025584e+01, 1.09411307e+01, 2.00555824e+01],
[-0.00000000e+00, -6.78103466e-11, -0.00000000e+00]])
fopt: 0.9242414169786373
fun: -0.9225955148645325
message: 'Optimization terminated successfully.'
nfev: 1171
nit: 12
status: 0
success: True
x: array([174.63507714, 21. , 185.06427741])
xopt: array([174., 22., 185.])
zopt: array([174., 196., 381.])
*******************************************
Period: 21
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 7.52780931, 5.01853954]])
fopt: 0.26451579593712704
fun: -0.26243997291869786
message: 'Optimization terminated successfully.'
nfev: 614
nit: 9
status: 0
success: True
x: array([254.5417715 , 73.00042717, 50.20172645])
xopt: array([254., 73., 51.])
zopt: array([254., 327., 378.])
*******************************************
Period: 22
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[29.29180337, 3.47268572, 73.34719414]])
fopt: 0.8729202287232244
fun: -0.8716564643071685
message: 'Optimization terminated successfully.'
nfev: 536
nit: 9
status: 0
success: True
x: array([184.99998659, 9.00001 , 200.00000381])
xopt: array([184., 10., 200.])
zopt: array([184., 194., 394.])
*******************************************
Period: 23
direc: array([[ -0.68109871, 1. , 1.01 ],
[-213.77382195, 108.06141148, 72.7613504 ],
[ -8.87112867, 26.0085695 , 13.19723006]])
fopt: 0.8424543657788328
fun: -0.8413589869435871
message: 'Optimization terminated successfully.'
nfev: 784
nit: 11
status: 0
success: True
x: array([ 81.16748589, 199.01059533, 120.72486187])
xopt: array([ 81., 199., 121.])
zopt: array([ 81., 280., 401.])
*******************************************
Period: 24
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.79747998, 34.7844638 , 21.12942522]])
fopt: 0.8473815799829307
fun: -0.8478925628365155
message: 'Optimization terminated successfully.'
nfev: 441
nit: 7
status: 0
success: True
x: array([ 79.76524624, 194.10003179, 128.1637965 ])
xopt: array([ 80., 194., 129.])
zopt: array([ 80., 274., 403.])
*******************************************
Period: 25
direc: array([[-152.90027052, 35.30963874, 72.50549634],
[ 0. , 1. , 0. ],
[ -62.73490055, 68.06662979, 111.04729736]])
fopt: 1.0079767338323113
fun: -1.0053444547235793
message: 'Optimization terminated successfully.'
nfev: 458
nit: 6
status: 0
success: True
x: array([ 81.04566623, 113. , 199.02293512])
xopt: array([ 81., 113., 200.])
zopt: array([ 81., 194., 394.])
*******************************************
Period: 26
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-206.92011469, 200.03069033, 133.35379355]])
fopt: 0.8885606735560245
fun: -0.8869705919763012
message: 'Optimization terminated successfully.'
nfev: 413
nit: 6
status: 0
success: True
x: array([ 79.99826016, 183.00048413, 138.69442262])
xopt: array([ 80., 183., 139.])
zopt: array([ 80., 263., 402.])
*******************************************
Period: 27
direc: array([[-180.51624276, 54.20789471, 104.10157872],
[ 0. , 1. , 0. ],
[ 12.14498333, 24.96474529, 37.18433868]])
fopt: 0.9929713723720158
fun: -0.9917847044375516
message: 'Optimization terminated successfully.'
nfev: 518
nit: 8
status: 0
success: True
x: array([ 84.5136706 , 115.00000409, 202. ])
xopt: array([ 84., 115., 203.])
zopt: array([ 84., 199., 402.])
*******************************************
Period: 28
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-48.58896729, 38.83094882, 63.0800638 ]])
fopt: 0.9885970790338489
fun: -0.9872017802970077
message: 'Optimization terminated successfully.'
nfev: 468
nit: 8
status: 0
success: True
x: array([ 81.00002788, 118. , 205.05794875])
xopt: array([ 81., 119., 206.])
zopt: array([ 81., 200., 406.])
*******************************************
Period: 29
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-70.77778678, 60.76137 , 119.19373217]])
fopt: 0.9942379873918367
fun: -0.9919645672590461
message: 'Optimization terminated successfully.'
nfev: 488
nit: 7
status: 0
success: True
x: array([ 87.99999627, 108. , 211.22960784])
xopt: array([ 87., 109., 211.])
zopt: array([ 87., 196., 407.])
*******************************************
Period: 30
direc: array([[-135.82863974, 34.13982245, 48.76976822],
[ 0. , 1. , 0. ],
[ 8.46783238, 43.00505172, 54.0007637 ]])
fopt: 0.942684893767682
fun: -0.9413087190277253
message: 'Optimization terminated successfully.'
nfev: 646
nit: 9
status: 0
success: True
x: array([ 84.30097571, 136.00001551, 180. ])
xopt: array([ 84., 136., 181.])
zopt: array([ 84., 220., 401.])
*******************************************
Period: 31
direc: array([[ -9.96355461, 4.00543566, 3.00878396],
[-111.08938236, 23.12777575, 33.54665728],
[ -1.60169152, 1.91400426, 0.60108486]])
fopt: 0.5500754088927198
fun: -0.5418407997972146
message: 'Optimization terminated successfully.'
nfev: 1961
nit: 23
status: 0
success: True
x: array([ 79.20267543, 116.00640992, 75.22861199])
xopt: array([ 80., 117., 76.])
zopt: array([ 80., 197., 273.])
*******************************************
Period: 32
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-85.70715392, 29.45437812, 58.25129851]])
fopt: 0.9730252621326201
fun: -0.9711966545010364
message: 'Optimization terminated successfully.'
nfev: 370
nit: 6
status: 0
success: True
x: array([ 84.00007382, 109. , 214.79163313])
xopt: array([ 84., 109., 214.])
zopt: array([ 84., 193., 407.])
*******************************************
Period: 33
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-40.32806277, 40.3280634 , 80.44112405]])
fopt: 0.9533277279524874
fun: -0.9513732459487189
message: 'Optimization terminated successfully.'
nfev: 458
nit: 7
status: 0
success: True
x: array([ 85.99999493, 111. , 210.33417211])
xopt: array([ 85., 111., 211.])
zopt: array([ 85., 196., 407.])
*******************************************
Period: 34
direc: array([[ -0. , 0. , 0. ],
[ -2.87658108, 1. , 0. ],
[-20.55352257, 10.0031707 , 0. ]])
fopt: 0.23802135669692306
fun: -0.23426739830616056
message: 'Optimization terminated successfully.'
nfev: 628
nit: 9
status: 0
success: True
x: array([270.57391716, 26.00004574, 5.01246483])
xopt: array([271., 27., 6.])
zopt: array([271., 298., 304.])
*******************************************
Period: 35
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-232.34250815, 112.76737014, 219.82074817]])
fopt: 0.9323222573812444
fun: -0.9318001602167133
message: 'Optimization terminated successfully.'
nfev: 604
nit: 8
status: 0
success: True
x: array([ 82.99999646, 109. , 215.06286688])
xopt: array([ 82., 110., 215.])
zopt: array([ 82., 192., 407.])
*******************************************
Period: 36
direc: array([[-220.82787819, 79.01129135, 153.51772768],
[ 0. , 1. , 0. ],
[ 0.44172031, 12.96565818, 20.56395156]])
fopt: 0.9313577679625187
fun: -0.9304384453032976
message: 'Optimization terminated successfully.'
nfev: 433
nit: 6
status: 0
success: True
x: array([ 82.04186317, 114. , 212.39679182])
xopt: array([ 82., 114., 212.])
zopt: array([ 82., 196., 408.])
*******************************************
Period: 37
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 3.44295609e-03, -2.63875402e-03, -5.16160964e-03],
[ 1.45505977e-02, -4.63329535e-02, 1.77892295e-07]])
fopt: 0.6644233641133686
fun: -0.659917362693621
message: 'Optimization terminated successfully.'
nfev: 1072
nit: 14
status: 0
success: True
x: array([ 89.99640732, 147. , 95. ])
xopt: array([ 90., 148., 96.])
zopt: array([ 90., 238., 334.])
*******************************************
Period: 38
direc: array([[ 2.36765819e-01, -1.43044484e-01, -2.79177799e-01],
[-1.04126049e+00, 9.90582991e-01, -1.41859589e-02],
[ 6.02626907e-05, -9.36430520e-07, 3.18959890e-07]])
fopt: 0.49554322819198393
fun: -0.491972183172625
message: 'Optimization terminated successfully.'
nfev: 615
nit: 8
status: 0
success: True
x: array([228.88210965, 46.00753972, 83.04791355])
xopt: array([228., 47., 84.])
zopt: array([228., 275., 359.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[ 65.03152919, -46.66213262, -92.8352574 ],
[-15.17693237, 15.11720572, 0. ]])
fopt: 0.9107953538336707
fun: -0.9107852178018504
message: 'Optimization terminated successfully.'
nfev: 1024
nit: 15
status: 0
success: True
x: array([ 82.01789239, 111.00021436, 214.00000463])
xopt: array([ 82., 111., 214.])
zopt: array([ 82., 193., 407.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 14.49358234, -12.28205992, -27.82941777]])
fopt: 0.869095602684611
fun: -0.8677726771795472
message: 'Optimization terminated successfully.'
nfev: 427
nit: 7
status: 0
success: True
x: array([110.99984014, 85. , 211.02636534])
xopt: array([110., 86., 212.])
zopt: array([110., 196., 408.])
*******************************************
Period: 41
direc: array([[-249.76138267, 82.37467935, 172.01841079],
[ 0. , 1. , 0. ],
[ 3.20481349, 3.42316485, 5.60008895]])
fopt: 0.8894828784985284
fun: -0.8879799498142849
message: 'Optimization terminated successfully.'
nfev: 470
nit: 7
status: 0
success: True
x: array([ 91.85924274, 104.00009941, 211. ])
xopt: array([ 91., 105., 212.])
zopt: array([ 91., 196., 408.])
*******************************************
Period: 42
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-47.05239156, 37.18000196, 68.3989668 ]])
fopt: 0.8843930008741037
fun: -0.8843374931787231
message: 'Optimization terminated successfully.'
nfev: 432
nit: 7
status: 0
success: True
x: array([ 80.99999855, 115. , 212.02715572])
xopt: array([ 81., 115., 212.])
zopt: array([ 81., 196., 408.])
*******************************************
Period: 43
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-187.20902473, 77.77354989, 131.7391369 ]])
fopt: 0.875680830167477
fun: -0.8752015258541729
message: 'Optimization terminated successfully.'
nfev: 590
nit: 9
status: 0
success: True
x: array([ 86.00000971, 108. , 213.2371101 ])
xopt: array([ 86., 108., 213.])
zopt: array([ 86., 194., 407.])
*******************************************
Period: 44
direc: array([[ -15.22037273, 8.31541124, 15.71195458],
[ 0. , 1. , 0. ],
[-188.19032123, 125.4037681 , 90.66894453]])
fopt: 0.8102275838552291
fun: -0.809996353470278
message: 'Optimization terminated successfully.'
nfev: 671
nit: 9
status: 0
success: True
x: array([ 80.16157508, 158. , 169.02309272])
xopt: array([ 80., 158., 169.])
zopt: array([ 80., 238., 407.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpao81a6kh.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn0ik9j61.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [5e-02, 5e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.632698
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.54947 0.632698
Optimal solution found (tolerance 1.00e-02)
Best objective 1.549465605953e+00, best bound 1.549465605953e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdqgto3tj.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_q68obdi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.659003
Presolve removed 93 rows and 71 columns
Presolve time: 0.00s
Presolved: 6 rows, 5 columns, 17 nonzeros
Variable types: 2 continuous, 3 integer (2 binary)
Root relaxation: objective 9.676703e-01, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 0.9676703 0.96767 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.96767 0.659003
Optimal solution found (tolerance 1.00e-02)
Best objective 9.676703233976e-01, best bound 9.676703233976e-01, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd05unx9y.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2bmfolb9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.481101
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 1.293676e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29368 0 6 0.48110 1.29368 169% - 0s
H 0 0 1.0990895 1.29368 17.7% - 0s
0 0 1.17372 0 1 1.09909 1.17372 6.79% - 0s
Cutting planes:
Gomory: 3
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (31 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.09909 0.481101
Optimal solution found (tolerance 1.00e-02)
Best objective 1.099089539988e+00, best bound 1.099089539988e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3rs2k600.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6mhdoq9j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.62365
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.591312e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59131 0 8 0.62365 1.59131 155% - 0s
H 0 0 1.3335778 1.59131 19.3% - 0s
0 0 1.37424 0 1 1.33358 1.37424 3.05% - 0s
0 0 cutoff 0 1.33358 1.33358 0.00% - 0s
Cutting planes:
Gomory: 4
Flow path: 1
Explored 1 nodes (44 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33358 0.62365
Optimal solution found (tolerance 1.00e-02)
Best objective 1.333577837430e+00, best bound 1.333577837430e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcr3_wfpq.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph7guw_2t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927127
Presolve removed 161 rows and 112 columns
Presolve time: 0.01s
Presolved: 76 rows, 63 columns, 262 nonzeros
Variable types: 33 continuous, 30 integer (26 binary)
Root relaxation: objective 1.747280e+00, 41 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74728 0 9 0.92713 1.74728 88.5% - 0s
H 0 0 1.3474488 1.74728 29.7% - 0s
H 0 0 1.4308525 1.74728 22.1% - 0s
0 0 1.46338 0 1 1.43085 1.46338 2.27% - 0s
0 0 cutoff 0 1.43085 1.43085 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 3
Flow path: 1
Explored 1 nodes (55 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.43085 1.34745 0.927127
Optimal solution found (tolerance 1.00e-02)
Best objective 1.430852541936e+00, best bound 1.430852541936e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpagsbqrod.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpndf02m9k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02073
Presolve removed 136 rows and 91 columns
Presolve time: 0.01s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.338458e+00, 96 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33846 0 13 1.02073 2.33846 129% - 0s
0 0 1.90211 0 11 1.02073 1.90211 86.3% - 0s
0 0 1.89092 0 8 1.02073 1.89092 85.3% - 0s
0 0 1.89086 0 9 1.02073 1.89086 85.2% - 0s
0 0 1.81230 0 10 1.02073 1.81230 77.5% - 0s
0 0 1.80155 0 10 1.02073 1.80155 76.5% - 0s
0 0 1.77150 0 10 1.02073 1.77150 73.6% - 0s
0 0 1.76910 0 10 1.02073 1.76910 73.3% - 0s
0 0 1.75660 0 9 1.02073 1.75660 72.1% - 0s
0 0 1.75487 0 10 1.02073 1.75487 71.9% - 0s
0 0 1.74232 0 10 1.02073 1.74232 70.7% - 0s
0 0 1.73893 0 10 1.02073 1.73893 70.4% - 0s
0 0 1.72701 0 10 1.02073 1.72701 69.2% - 0s
0 0 1.70200 0 10 1.02073 1.70200 66.7% - 0s
0 0 1.69996 0 10 1.02073 1.69996 66.5% - 0s
0 0 1.69996 0 10 1.02073 1.69996 66.5% - 0s
H 0 0 1.3509453 1.69996 25.8% - 0s
0 2 1.69996 0 10 1.35095 1.69996 25.8% - 0s
H 3 6 1.4844004 1.56303 5.30% 5.3 0s
H 10 4 1.4867120 1.54990 4.25% 4.1 0s
H 10 4 1.4890236 1.54990 4.09% 4.1 0s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 4
MIR: 1
Flow cover: 8
Explored 19 nodes (280 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.48902 1.48671 1.4844 ... 1.02073
Optimal solution found (tolerance 1.00e-02)
Best objective 1.489023630080e+00, best bound 1.492691746411e+00, gap 0.2463%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppdw2omxr.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpge_w_38j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15051
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.364017e+00, 122 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.36402 0 17 1.15051 2.36402 105% - 0s
H 0 0 1.3644095 2.36402 73.3% - 0s
0 0 1.90249 0 15 1.36441 1.90249 39.4% - 0s
0 0 1.89255 0 13 1.36441 1.89255 38.7% - 0s
0 0 1.89190 0 13 1.36441 1.89190 38.7% - 0s
0 0 1.83876 0 13 1.36441 1.83876 34.8% - 0s
0 0 1.81571 0 15 1.36441 1.81571 33.1% - 0s
0 0 1.78460 0 15 1.36441 1.78460 30.8% - 0s
0 0 1.78386 0 15 1.36441 1.78386 30.7% - 0s
0 0 1.78267 0 15 1.36441 1.78267 30.7% - 0s
0 0 1.78267 0 15 1.36441 1.78267 30.7% - 0s
0 0 1.66324 0 12 1.36441 1.66324 21.9% - 0s
H 0 0 1.4276498 1.66324 16.5% - 0s
0 0 1.66221 0 15 1.42765 1.66221 16.4% - 0s
0 0 1.66078 0 11 1.42765 1.66078 16.3% - 0s
0 0 1.66077 0 12 1.42765 1.66077 16.3% - 0s
0 0 1.65299 0 14 1.42765 1.65299 15.8% - 0s
H 0 0 1.4739956 1.65299 12.1% - 0s
0 0 1.64932 0 12 1.47400 1.64932 11.9% - 0s
0 0 1.64899 0 12 1.47400 1.64899 11.9% - 0s
0 0 1.63582 0 13 1.47400 1.63582 11.0% - 0s
0 0 1.63443 0 13 1.47400 1.63443 10.9% - 0s
0 0 1.63233 0 14 1.47400 1.63233 10.7% - 0s
0 0 1.63233 0 14 1.47400 1.63233 10.7% - 0s
0 2 1.63233 0 14 1.47400 1.63233 10.7% - 0s
H 3 2 1.5177545 1.62351 6.97% 8.3 0s
Cutting planes:
Gomory: 7
Implied bound: 6
MIR: 5
Flow cover: 8
Explored 17 nodes (415 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.51775 1.474 1.42765 ... 1.15051
Optimal solution found (tolerance 1.00e-02)
Best objective 1.517754463527e+00, best bound 1.517754463527e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq2g28kbg.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3z6omnit.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22575
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.352850e+00, 143 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.35285 0 21 1.22575 2.35285 92.0% - 0s
H 0 0 1.2966389 2.35285 81.5% - 0s
0 0 2.13693 0 22 1.29664 2.13693 64.8% - 0s
0 0 2.13179 0 19 1.29664 2.13179 64.4% - 0s
0 0 1.85546 0 16 1.29664 1.85546 43.1% - 0s
0 0 1.83896 0 17 1.29664 1.83896 41.8% - 0s
0 0 1.83866 0 18 1.29664 1.83866 41.8% - 0s
0 0 1.76583 0 17 1.29664 1.76583 36.2% - 0s
0 0 1.76484 0 17 1.29664 1.76484 36.1% - 0s
0 0 1.76475 0 17 1.29664 1.76475 36.1% - 0s
0 0 1.74522 0 14 1.29664 1.74522 34.6% - 0s
0 0 1.73947 0 13 1.29664 1.73947 34.2% - 0s
0 0 1.73937 0 13 1.29664 1.73937 34.1% - 0s
0 0 1.73883 0 15 1.29664 1.73883 34.1% - 0s
0 0 1.73849 0 15 1.29664 1.73849 34.1% - 0s
0 0 1.73849 0 15 1.29664 1.73849 34.1% - 0s
H 0 0 1.5315458 1.73849 13.5% - 0s
0 2 1.73849 0 15 1.53155 1.73849 13.5% - 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 6
MIR: 5
Flow cover: 18
Explored 40 nodes (575 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.53155 1.29664 1.22575
Optimal solution found (tolerance 1.00e-02)
Best objective 1.531545830263e+00, best bound 1.531545830263e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3s2hzlgc.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpna9kop63.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28301
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.314149e+00, 164 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.31415 0 19 1.28301 2.31415 80.4% - 0s
0 0 2.02812 0 33 1.28301 2.02812 58.1% - 0s
0 0 2.02275 0 30 1.28301 2.02275 57.7% - 0s
0 0 2.02275 0 31 1.28301 2.02275 57.7% - 0s
0 0 1.80342 0 17 1.28301 1.80342 40.6% - 0s
0 0 1.79875 0 17 1.28301 1.79875 40.2% - 0s
0 0 1.79680 0 18 1.28301 1.79680 40.0% - 0s
0 0 1.79614 0 18 1.28301 1.79614 40.0% - 0s
0 0 1.73919 0 17 1.28301 1.73919 35.6% - 0s
0 0 1.72731 0 17 1.28301 1.72731 34.6% - 0s
0 0 1.72596 0 17 1.28301 1.72596 34.5% - 0s
0 0 1.72150 0 17 1.28301 1.72150 34.2% - 0s
0 0 1.72150 0 17 1.28301 1.72150 34.2% - 0s
0 0 1.72051 0 16 1.28301 1.72051 34.1% - 0s
0 0 1.72051 0 16 1.28301 1.72051 34.1% - 0s
H 0 0 1.5242537 1.72051 12.9% - 0s
0 2 1.70153 0 14 1.52425 1.70153 11.6% - 0s
Cutting planes:
Gomory: 7
Implied bound: 6
MIR: 2
Flow cover: 21
Explored 33 nodes (579 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52425 1.28301
Optimal solution found (tolerance 1.00e-02)
Best objective 1.524253710682e+00, best bound 1.524253710682e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphwavvkhh.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdbd6xiad.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2985
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.214925e+00, 188 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21492 0 21 1.29850 2.21492 70.6% - 0s
0 0 1.86990 0 33 1.29850 1.86990 44.0% - 0s
0 0 1.86415 0 34 1.29850 1.86415 43.6% - 0s
0 0 1.67908 0 16 1.29850 1.67908 29.3% - 0s
0 0 1.65211 0 17 1.29850 1.65211 27.2% - 0s
0 0 1.65131 0 17 1.29850 1.65131 27.2% - 0s
0 0 1.62897 0 15 1.29850 1.62897 25.5% - 0s
0 0 1.62531 0 15 1.29850 1.62531 25.2% - 0s
0 0 1.62339 0 18 1.29850 1.62339 25.0% - 0s
0 0 1.62091 0 17 1.29850 1.62091 24.8% - 0s
0 0 1.62091 0 18 1.29850 1.62091 24.8% - 0s
0 0 1.62049 0 16 1.29850 1.62049 24.8% - 0s
0 0 1.62028 0 18 1.29850 1.62028 24.8% - 0s
0 0 1.61830 0 15 1.29850 1.61830 24.6% - 0s
0 0 1.61830 0 15 1.29850 1.61830 24.6% - 0s
0 2 1.61830 0 15 1.29850 1.61830 24.6% - 0s
* 50 11 12 1.3427691 1.49500 11.3% 6.3 0s
* 67 5 15 1.4440994 1.48189 2.62% 5.8 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 9
MIR: 7
Flow cover: 30
Explored 81 nodes (910 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.4441 1.34277 1.2985
Optimal solution found (tolerance 1.00e-02)
Best objective 1.444099424664e+00, best bound 1.444099424664e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyk60l1tv.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpojmtnl7q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26088
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.192876e+00, 190 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19288 0 41 1.26088 2.19288 73.9% - 0s
0 0 1.81318 0 53 1.26088 1.81318 43.8% - 0s
0 0 1.81310 0 54 1.26088 1.81310 43.8% - 0s
0 0 1.65115 0 44 1.26088 1.65115 31.0% - 0s
0 0 1.62009 0 37 1.26088 1.62009 28.5% - 0s
0 0 1.60353 0 41 1.26088 1.60353 27.2% - 0s
0 0 1.60353 0 42 1.26088 1.60353 27.2% - 0s
0 0 1.60320 0 43 1.26088 1.60320 27.1% - 0s
0 0 1.60320 0 24 1.26088 1.60320 27.1% - 0s
H 0 0 1.4076622 1.60320 13.9% - 0s
0 2 1.60320 0 24 1.40766 1.60320 13.9% - 0s
H 31 5 1.4114519 1.45982 3.43% 6.8 0s
* 56 0 16 1.4165218 1.42101 0.32% 6.0 0s
* 58 0 16 1.4210137 1.42101 0.00% 5.9 0s
Cutting planes:
Gomory: 8
Cover: 2
Implied bound: 6
MIR: 8
Flow cover: 27
Explored 59 nodes (838 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.42101 1.41652 1.41145 ... 1.26088
Optimal solution found (tolerance 1.00e-02)
Best objective 1.421013743455e+00, best bound 1.421013743455e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnd3j_swf.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwwtlx7aj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2695
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.086264e+00, 245 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08626 0 26 1.26950 2.08626 64.3% - 0s
0 0 1.71231 0 42 1.26950 1.71231 34.9% - 0s
0 0 1.68615 0 41 1.26950 1.68615 32.8% - 0s
0 0 1.56734 0 34 1.26950 1.56734 23.5% - 0s
0 0 1.55790 0 35 1.26950 1.55790 22.7% - 0s
0 0 1.55424 0 35 1.26950 1.55424 22.4% - 0s
0 0 1.54494 0 34 1.26950 1.54494 21.7% - 0s
0 0 1.54067 0 34 1.26950 1.54067 21.4% - 0s
0 0 1.53654 0 36 1.26950 1.53654 21.0% - 0s
0 0 1.53654 0 36 1.26950 1.53654 21.0% - 0s
0 0 1.53506 0 37 1.26950 1.53506 20.9% - 0s
0 0 1.53506 0 37 1.26950 1.53506 20.9% - 0s
H 0 0 1.3457159 1.53506 14.1% - 0s
0 2 1.53506 0 37 1.34572 1.53506 14.1% - 0s
* 55 0 21 1.3457159 1.37720 2.34% 7.3 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 11
MIR: 12
Flow cover: 24
Explored 62 nodes (999 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.34572 1.34572 1.2695
Optimal solution found (tolerance 1.00e-02)
Best objective 1.345715930197e+00, best bound 1.346934005464e+00, gap 0.0905%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpejie2c8y.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe0kmuxo9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19407
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.142078e+00, 251 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14208 0 27 1.19407 2.14208 79.4% - 0s
0 0 1.74563 0 35 1.19407 1.74563 46.2% - 0s
0 0 1.72149 0 34 1.19407 1.72149 44.2% - 0s
0 0 1.69788 0 41 1.19407 1.69788 42.2% - 0s
0 0 1.68906 0 40 1.19407 1.68906 41.5% - 0s
0 0 1.68566 0 40 1.19407 1.68566 41.2% - 0s
0 0 1.67528 0 38 1.19407 1.67528 40.3% - 0s
0 0 1.67211 0 37 1.19407 1.67211 40.0% - 0s
0 0 1.67137 0 37 1.19407 1.67137 40.0% - 0s
0 0 1.66797 0 39 1.19407 1.66797 39.7% - 0s
0 0 1.66797 0 39 1.19407 1.66797 39.7% - 0s
0 0 1.66663 0 41 1.19407 1.66663 39.6% - 0s
0 0 1.66663 0 41 1.19407 1.66663 39.6% - 0s
0 2 1.66663 0 41 1.19407 1.66663 39.6% - 0s
* 99 39 36 1.2652448 1.52514 20.5% 6.3 0s
* 197 42 33 1.3374299 1.46263 9.36% 5.7 0s
* 283 24 31 1.3597589 1.40358 3.22% 5.3 0s
Cutting planes:
Gomory: 13
Cover: 3
Implied bound: 11
MIR: 12
Flow cover: 24
Explored 335 nodes (2271 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.35976 1.33743 1.26524 1.19407
Optimal solution found (tolerance 1.00e-02)
Best objective 1.359758893248e+00, best bound 1.372472871504e+00, gap 0.9350%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2h_fouro.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmper6d07iu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21457
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.122039e+00, 320 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12204 0 30 1.21457 2.12204 74.7% - 0s
0 0 1.72128 0 47 1.21457 1.72128 41.7% - 0s
0 0 1.71810 0 47 1.21457 1.71810 41.5% - 0s
0 0 1.66816 0 47 1.21457 1.66816 37.3% - 0s
0 0 1.65881 0 48 1.21457 1.65881 36.6% - 0s
0 0 1.64252 0 48 1.21457 1.64252 35.2% - 0s
0 0 1.64167 0 49 1.21457 1.64167 35.2% - 0s
0 0 1.63733 0 49 1.21457 1.63733 34.8% - 0s
0 0 1.63601 0 50 1.21457 1.63601 34.7% - 0s
0 0 1.63583 0 50 1.21457 1.63583 34.7% - 0s
0 0 1.63439 0 49 1.21457 1.63439 34.6% - 0s
0 0 1.63439 0 49 1.21457 1.63439 34.6% - 0s
0 2 1.62334 0 48 1.21457 1.62334 33.7% - 0s
* 163 50 36 1.3487351 1.49294 10.7% 7.9 0s
Cutting planes:
Gomory: 14
Cover: 2
Implied bound: 15
MIR: 11
Flow cover: 26
Inf proof: 4
Explored 316 nodes (2814 simplex iterations) in 0.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.34874 1.21457
Optimal solution found (tolerance 1.00e-02)
Best objective 1.348735117767e+00, best bound 1.351366207533e+00, gap 0.1951%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4w4cyzoi.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvxe8000w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22401
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.063290e+00, 318 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06329 0 33 1.22401 2.06329 68.6% - 0s
0 0 1.64471 0 45 1.22401 1.64471 34.4% - 0s
0 0 1.64466 0 45 1.22401 1.64466 34.4% - 0s
0 0 1.61005 0 46 1.22401 1.61005 31.5% - 0s
0 0 1.60999 0 46 1.22401 1.60999 31.5% - 0s
0 0 1.59723 0 47 1.22401 1.59723 30.5% - 0s
0 0 1.59126 0 51 1.22401 1.59126 30.0% - 0s
0 0 1.58982 0 48 1.22401 1.58982 29.9% - 0s
0 0 1.58936 0 48 1.22401 1.58936 29.8% - 0s
0 0 1.58936 0 48 1.22401 1.58936 29.8% - 0s
0 0 1.58922 0 48 1.22401 1.58922 29.8% - 0s
0 0 1.58922 0 48 1.22401 1.58922 29.8% - 0s
0 2 1.58922 0 41 1.22401 1.58922 29.8% - 0s
* 531 80 37 1.2800019 1.37945 7.77% 6.0 0s
* 725 57 39 1.2883888 1.34054 4.05% 5.8 0s
* 752 44 36 1.2899873 1.33419 3.43% 5.8 0s
* 756 16 37 1.3114452 1.33419 1.73% 5.8 0s
Cutting planes:
Gomory: 13
Cover: 3
Implied bound: 12
MIR: 11
Flow cover: 26
Inf proof: 9
Explored 795 nodes (5222 simplex iterations) in 0.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.31145 1.28999 1.28839 ... 1.22401
Optimal solution found (tolerance 1.00e-02)
Best objective 1.311445234567e+00, best bound 1.311445234567e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi8n9ndbp.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz25j4662.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17842
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.086378e+00, 353 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08638 0 34 1.17842 2.08638 77.0% - 0s
0 0 1.68202 0 41 1.17842 1.68202 42.7% - 0s
0 0 1.68198 0 40 1.17842 1.68198 42.7% - 0s
0 0 1.63830 0 38 1.17842 1.63830 39.0% - 0s
0 0 1.63445 0 38 1.17842 1.63445 38.7% - 0s
0 0 1.63429 0 38 1.17842 1.63429 38.7% - 0s
0 0 1.62211 0 39 1.17842 1.62211 37.7% - 0s
0 0 1.61987 0 41 1.17842 1.61987 37.5% - 0s
0 0 1.61792 0 41 1.17842 1.61792 37.3% - 0s
0 0 1.61792 0 42 1.17842 1.61792 37.3% - 0s
0 0 1.61792 0 42 1.17842 1.61792 37.3% - 0s
0 0 1.61792 0 42 1.17842 1.61792 37.3% - 0s
0 2 1.61792 0 36 1.17842 1.61792 37.3% - 0s
* 359 60 35 1.1798075 1.42240 20.6% 6.6 0s
* 380 39 37 1.2637765 1.42240 12.6% 6.5 0s
* 633 25 37 1.2789480 1.34565 5.22% 6.5 0s
Cutting planes:
Gomory: 13
Cover: 4
Implied bound: 13
MIR: 10
Flow cover: 26
Flow path: 1
Inf proof: 10
Explored 736 nodes (5373 simplex iterations) in 0.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.27895 1.26378 1.17981 1.17842
Optimal solution found (tolerance 1.00e-02)
Best objective 1.278948037211e+00, best bound 1.278948037211e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3216_foz.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx3jpek4c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16988
Presolve removed 286 rows and 181 columns
Presolve time: 0.02s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.034583e+00, 384 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03458 0 36 1.16988 2.03458 73.9% - 0s
0 0 1.63751 0 42 1.16988 1.63751 40.0% - 0s
0 0 1.63492 0 42 1.16988 1.63492 39.8% - 0s
0 0 1.58824 0 46 1.16988 1.58824 35.8% - 0s
0 0 1.58564 0 50 1.16988 1.58564 35.5% - 0s
0 0 1.58328 0 50 1.16988 1.58328 35.3% - 0s
0 0 1.57375 0 48 1.16988 1.57375 34.5% - 0s
0 0 1.57089 0 49 1.16988 1.57089 34.3% - 0s
0 0 1.56738 0 51 1.16988 1.56738 34.0% - 0s
0 0 1.56730 0 52 1.16988 1.56730 34.0% - 0s
0 0 1.56623 0 54 1.16988 1.56623 33.9% - 0s
0 0 1.56623 0 54 1.16988 1.56623 33.9% - 0s
0 2 1.56623 0 54 1.16988 1.56623 33.9% - 0s
* 721 95 50 1.2159723 1.32733 9.16% 6.0 0s
* 747 88 44 1.2236339 1.32733 8.47% 6.0 0s
* 753 81 44 1.2362180 1.32733 7.37% 6.0 0s
Cutting planes:
Gomory: 17
Cover: 5
Implied bound: 13
MIR: 15
Flow cover: 39
Inf proof: 9
Explored 1041 nodes (6973 simplex iterations) in 0.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.23622 1.22363 1.21597 1.16988
Optimal solution found (tolerance 1.00e-02)
Best objective 1.236217993150e+00, best bound 1.236217993150e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgc1yalrf.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl625os9z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13303
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.960325e+00, 436 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96032 0 41 1.13303 1.96032 73.0% - 0s
0 0 1.56175 0 41 1.13303 1.56175 37.8% - 0s
0 0 1.55990 0 41 1.13303 1.55990 37.7% - 0s
0 0 1.51168 0 54 1.13303 1.51168 33.4% - 0s
0 0 1.51143 0 51 1.13303 1.51143 33.4% - 0s
0 0 1.50363 0 55 1.13303 1.50363 32.7% - 0s
0 0 1.50363 0 54 1.13303 1.50363 32.7% - 0s
0 0 1.49583 0 56 1.13303 1.49583 32.0% - 0s
0 0 1.49531 0 57 1.13303 1.49531 32.0% - 0s
0 0 1.49443 0 54 1.13303 1.49443 31.9% - 0s
0 0 1.49443 0 54 1.13303 1.49443 31.9% - 0s
0 2 1.49443 0 50 1.13303 1.49443 31.9% - 0s
* 590 147 52 1.1559712 1.31180 13.5% 7.4 0s
* 875 149 53 1.1863864 1.29610 9.25% 7.0 0s
* 1142 87 49 1.1864086 1.23280 3.91% 6.6 0s
Cutting planes:
Gomory: 17
Cover: 4
Implied bound: 19
MIR: 24
Flow cover: 39
Inf proof: 13
Explored 1317 nodes (9115 simplex iterations) in 0.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.18641 1.18639 1.15597 1.13303
Optimal solution found (tolerance 1.00e-02)
Best objective 1.186408571010e+00, best bound 1.188793392126e+00, gap 0.2010%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf4w9bja3.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_k5gpt6o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09566
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.908881e+00, 460 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90888 0 42 1.09566 1.90888 74.2% - 0s
0 0 1.51777 0 48 1.09566 1.51777 38.5% - 0s
0 0 1.51482 0 45 1.09566 1.51482 38.3% - 0s
0 0 1.51482 0 46 1.09566 1.51482 38.3% - 0s
0 0 1.45396 0 53 1.09566 1.45396 32.7% - 0s
0 0 1.45223 0 50 1.09566 1.45223 32.5% - 0s
0 0 1.45223 0 51 1.09566 1.45223 32.5% - 0s
0 0 1.43758 0 53 1.09566 1.43758 31.2% - 0s
0 0 1.43543 0 55 1.09566 1.43543 31.0% - 0s
0 0 1.43543 0 55 1.09566 1.43543 31.0% - 0s
0 0 1.42682 0 56 1.09566 1.42682 30.2% - 0s
0 0 1.42681 0 56 1.09566 1.42681 30.2% - 0s
0 0 1.42528 0 61 1.09566 1.42528 30.1% - 0s
0 0 1.42528 0 61 1.09566 1.42528 30.1% - 0s
0 2 1.42528 0 61 1.09566 1.42528 30.1% - 0s
* 654 145 61 1.1593273 1.25053 7.87% 6.6 0s
* 992 114 57 1.1642062 1.20759 3.73% 6.8 0s
Cutting planes:
Gomory: 17
Cover: 2
Implied bound: 21
MIR: 16
Flow cover: 46
Inf proof: 11
Explored 1185 nodes (8739 simplex iterations) in 0.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16421 1.15933 1.09566
Optimal solution found (tolerance 1.00e-02)
Best objective 1.164206156527e+00, best bound 1.164206156527e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvl778rab.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph00nrepg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07711
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.865284e+00, 492 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86528 0 47 1.07711 1.86528 73.2% - 0s
0 0 1.47128 0 52 1.07711 1.47128 36.6% - 0s
0 0 1.46905 0 52 1.07711 1.46905 36.4% - 0s
0 0 1.40728 0 58 1.07711 1.40728 30.7% - 0s
0 0 1.40637 0 52 1.07711 1.40637 30.6% - 0s
0 0 1.39454 0 57 1.07711 1.39454 29.5% - 0s
0 0 1.39257 0 60 1.07711 1.39257 29.3% - 0s
0 0 1.39066 0 64 1.07711 1.39066 29.1% - 0s
0 0 1.39057 0 68 1.07711 1.39057 29.1% - 0s
0 0 1.39048 0 66 1.07711 1.39048 29.1% - 0s
0 0 1.39048 0 66 1.07711 1.39048 29.1% - 0s
0 2 1.39048 0 66 1.07711 1.39048 29.1% - 0s
* 689 143 63 1.0946140 1.22677 12.1% 6.3 0s
* 993 207 67 1.1034326 1.19285 8.10% 5.8 0s
* 1050 148 63 1.1156188 1.18270 6.01% 5.7 0s
* 1225 119 56 1.1217111 1.15928 3.35% 5.7 0s
* 1237 118 57 1.1220793 1.15928 3.32% 5.6 0s
* 1486 31 57 1.1238000 1.12910 0.47% 5.5 1s
Cutting planes:
Gomory: 21
Cover: 1
Implied bound: 16
MIR: 18
Flow cover: 47
Inf proof: 23
Explored 1499 nodes (9249 simplex iterations) in 1.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.1238 1.12208 1.12171 ... 1.07711
Optimal solution found (tolerance 1.00e-02)
Best objective 1.123800010972e+00, best bound 1.129102252877e+00, gap 0.4718%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsw7k941y.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpys7s7f7x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03931
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.809658e+00, 570 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80966 0 51 1.03931 1.80966 74.1% - 0s
0 0 1.41526 0 65 1.03931 1.41526 36.2% - 0s
0 0 1.41524 0 64 1.03931 1.41524 36.2% - 0s
0 0 1.35718 0 65 1.03931 1.35718 30.6% - 0s
0 0 1.35427 0 63 1.03931 1.35427 30.3% - 0s
0 0 1.35415 0 63 1.03931 1.35415 30.3% - 0s
0 0 1.34111 0 64 1.03931 1.34111 29.0% - 0s
0 0 1.33867 0 63 1.03931 1.33867 28.8% - 0s
0 0 1.33866 0 63 1.03931 1.33866 28.8% - 0s
0 0 1.33721 0 63 1.03931 1.33721 28.7% - 0s
0 0 1.33721 0 64 1.03931 1.33721 28.7% - 0s
0 0 1.33539 0 63 1.03931 1.33539 28.5% - 0s
0 0 1.33539 0 63 1.03931 1.33539 28.5% - 0s
0 2 1.33539 0 61 1.03931 1.33539 28.5% - 0s
* 1322 138 72 1.0779111 1.14024 5.78% 6.5 1s
* 1395 105 69 1.0788547 1.13297 5.02% 6.5 1s
* 1616 32 67 1.0788737 1.08351 0.43% 6.4 1s
Cutting planes:
Gomory: 24
Cover: 4
Implied bound: 28
MIR: 21
Flow cover: 48
Inf proof: 20
Explored 1639 nodes (11506 simplex iterations) in 1.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.07887 1.07885 1.07791 1.03931
Optimal solution found (tolerance 1.00e-02)
Best objective 1.078873716161e+00, best bound 1.083330973758e+00, gap 0.4131%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpquv_pi6m.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplm9tpsjt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06575
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.825783e+00, 483 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82578 0 42 1.06575 1.82578 71.3% - 0s
0 0 1.52393 0 56 1.06575 1.52393 43.0% - 0s
0 0 1.52190 0 56 1.06575 1.52190 42.8% - 0s
0 0 1.39682 0 73 1.06575 1.39682 31.1% - 0s
0 0 1.38742 0 75 1.06575 1.38742 30.2% - 0s
0 0 1.37361 0 74 1.06575 1.37361 28.9% - 0s
0 0 1.37359 0 74 1.06575 1.37359 28.9% - 0s
0 0 1.35568 0 76 1.06575 1.35568 27.2% - 0s
0 0 1.35362 0 77 1.06575 1.35362 27.0% - 0s
0 0 1.35362 0 78 1.06575 1.35362 27.0% - 0s
0 0 1.35166 0 83 1.06575 1.35166 26.8% - 0s
0 0 1.35160 0 83 1.06575 1.35160 26.8% - 0s
0 0 1.35149 0 85 1.06575 1.35149 26.8% - 0s
0 0 1.35149 0 70 1.06575 1.35149 26.8% - 0s
0 2 1.35149 0 69 1.06575 1.35149 26.8% - 0s
Cutting planes:
Gomory: 15
Cover: 5
Implied bound: 24
MIR: 12
Flow cover: 69
Inf proof: 10
Explored 1957 nodes (13342 simplex iterations) in 1.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.06575
Optimal solution found (tolerance 1.00e-02)
Best objective 1.065750282713e+00, best bound 1.075422650826e+00, gap 0.9076%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsyumvuuz.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqbb76oc3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03497
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.779050e+00, 521 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77905 0 48 1.03497 1.77905 71.9% - 0s
0 0 1.72190 0 58 1.03497 1.72190 66.4% - 0s
0 0 1.72051 0 59 1.03497 1.72051 66.2% - 0s
0 0 1.64687 0 74 1.03497 1.64687 59.1% - 0s
0 0 1.64590 0 73 1.03497 1.64590 59.0% - 0s
0 0 1.61728 0 78 1.03497 1.61728 56.3% - 0s
0 0 1.61624 0 79 1.03497 1.61624 56.2% - 0s
0 0 1.61325 0 83 1.03497 1.61325 55.9% - 0s
0 0 1.61268 0 84 1.03497 1.61268 55.8% - 0s
0 0 1.61231 0 85 1.03497 1.61231 55.8% - 0s
0 0 1.61215 0 85 1.03497 1.61215 55.8% - 0s
0 0 1.61192 0 85 1.03497 1.61192 55.7% - 0s
0 0 1.61137 0 88 1.03497 1.61137 55.7% - 0s
0 0 1.61069 0 88 1.03497 1.61069 55.6% - 0s
0 0 1.61063 0 88 1.03497 1.61063 55.6% - 0s
0 0 1.61020 0 91 1.03497 1.61020 55.6% - 0s
0 0 1.61020 0 91 1.03497 1.61020 55.6% - 0s
0 2 1.61020 0 91 1.03497 1.61020 55.6% - 0s
* 2724 146 64 1.0400906 1.07471 3.33% 7.5 2s
Cutting planes:
Gomory: 16
Cover: 9
Implied bound: 28
MIR: 20
Flow cover: 75
Flow path: 1
Inf proof: 47
Explored 3133 nodes (24861 simplex iterations) in 2.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.04009 1.03497
Optimal solution found (tolerance 1.00e-02)
Best objective 1.040090559527e+00, best bound 1.046738715442e+00, gap 0.6392%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpncmje45g.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx3g5t0l4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0245
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.759102e+00, 579 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75910 0 50 1.02450 1.75910 71.7% - 0s
0 0 1.71834 0 67 1.02450 1.71834 67.7% - 0s
0 0 1.71597 0 65 1.02450 1.71597 67.5% - 0s
0 0 1.63587 0 71 1.02450 1.63587 59.7% - 0s
0 0 1.63524 0 71 1.02450 1.63524 59.6% - 0s
0 0 1.60503 0 81 1.02450 1.60503 56.7% - 0s
0 0 1.60281 0 74 1.02450 1.60281 56.4% - 0s
0 0 1.60057 0 80 1.02450 1.60057 56.2% - 0s
0 0 1.59812 0 83 1.02450 1.59812 56.0% - 0s
0 0 1.59766 0 85 1.02450 1.59766 55.9% - 0s
0 0 1.59766 0 86 1.02450 1.59766 55.9% - 0s
0 0 1.59464 0 89 1.02450 1.59464 55.7% - 0s
0 0 1.59454 0 89 1.02450 1.59454 55.6% - 0s
0 0 1.59441 0 89 1.02450 1.59441 55.6% - 0s
0 0 1.59441 0 80 1.02450 1.59441 55.6% - 0s
0 2 1.59441 0 80 1.02450 1.59441 55.6% - 0s
* 260 127 88 1.0350962 1.31264 26.8% 8.3 0s
Cutting planes:
Gomory: 3
Implied bound: 4
MIR: 2
Flow cover: 8
Inf proof: 2
Explored 3137 nodes (23741 simplex iterations) in 3.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0351 1.0245
Optimal solution found (tolerance 1.00e-02)
Best objective 1.035096174415e+00, best bound 1.035096174415e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp432rxqqx.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp41xvuyes.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02564
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.706249e+00, 582 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70625 0 53 1.02564 1.70625 66.4% - 0s
0 0 1.62757 0 77 1.02564 1.62757 58.7% - 0s
0 0 1.62485 0 75 1.02564 1.62485 58.4% - 0s
0 0 1.58043 0 84 1.02564 1.58043 54.1% - 0s
0 0 1.57876 0 84 1.02564 1.57876 53.9% - 0s
0 0 1.55706 0 88 1.02564 1.55706 51.8% - 0s
0 0 1.55071 0 84 1.02564 1.55071 51.2% - 0s
0 0 1.54583 0 95 1.02564 1.54583 50.7% - 0s
0 0 1.54553 0 94 1.02564 1.54553 50.7% - 0s
0 0 1.54449 0 96 1.02564 1.54449 50.6% - 0s
0 0 1.54441 0 97 1.02564 1.54441 50.6% - 0s
0 0 1.54415 0 96 1.02564 1.54415 50.6% - 0s
0 0 1.54415 0 96 1.02564 1.54415 50.6% - 0s
0 0 1.54381 0 96 1.02564 1.54381 50.5% - 0s
0 0 1.54381 0 96 1.02564 1.54381 50.5% - 0s
0 2 1.54381 0 96 1.02564 1.54381 50.5% - 0s
* 1994 181 92 1.0263654 1.07857 5.09% 8.3 1s
* 2373 250 93 1.0264458 1.07339 4.57% 7.9 2s
* 2488 252 89 1.0264511 1.07288 4.52% 7.8 2s
* 2593 269 90 1.0274692 1.07155 4.29% 7.8 2s
* 3605 283 88 1.0274851 1.05582 2.76% 7.2 2s
Cutting planes:
Gomory: 13
Cover: 7
Implied bound: 32
MIR: 18
Flow cover: 93
Inf proof: 61
Explored 4449 nodes (32312 simplex iterations) in 3.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.02749 1.02747 1.02645 ... 1.02564
Optimal solution found (tolerance 1.00e-02)
Best objective 1.027485115679e+00, best bound 1.036242624098e+00, gap 0.8523%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbpo880ud.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7ysc40jq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03288
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.684217e+00, 656 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68422 0 54 1.03288 1.68422 63.1% - 0s
0 0 1.64787 0 72 1.03288 1.64787 59.5% - 0s
0 0 1.64568 0 70 1.03288 1.64568 59.3% - 0s
0 0 1.57254 0 83 1.03288 1.57254 52.2% - 0s
0 0 1.57194 0 83 1.03288 1.57194 52.2% - 0s
0 0 1.54984 0 86 1.03288 1.54984 50.1% - 0s
0 0 1.54790 0 90 1.03288 1.54790 49.9% - 0s
0 0 1.54358 0 96 1.03288 1.54358 49.4% - 0s
0 0 1.54358 0 96 1.03288 1.54358 49.4% - 0s
0 0 1.54274 0 98 1.03288 1.54274 49.4% - 0s
0 0 1.54259 0 101 1.03288 1.54259 49.3% - 0s
0 0 1.54258 0 100 1.03288 1.54258 49.3% - 0s
0 0 1.54252 0 100 1.03288 1.54252 49.3% - 0s
0 0 1.54252 0 100 1.03288 1.54252 49.3% - 0s
0 2 1.54252 0 82 1.03288 1.54252 49.3% - 0s
* 1369 311 84 1.0398467 1.13093 8.76% 9.2 1s
* 2982 348 69 1.0413857 1.11486 7.06% 8.3 3s
* 3753 0 66 1.0414010 1.04196 0.05% 8.0 3s
Cutting planes:
Gomory: 4
Implied bound: 4
MIR: 1
Flow cover: 11
Inf proof: 1
Explored 3760 nodes (31439 simplex iterations) in 3.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.0414 1.04139 1.03985 1.03288
Optimal solution found (tolerance 1.00e-02)
Best objective 1.041401002558e+00, best bound 1.041958911786e+00, gap 0.0536%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi4u501j8.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp563hqkqz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00835
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.620901e+00, 721 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62090 0 55 1.00835 1.62090 60.7% - 0s
0 0 1.55903 0 79 1.00835 1.55903 54.6% - 0s
0 0 1.55693 0 77 1.00835 1.55693 54.4% - 0s
0 0 1.51265 0 89 1.00835 1.51265 50.0% - 0s
0 0 1.51142 0 89 1.00835 1.51142 49.9% - 0s
0 0 1.49974 0 93 1.00835 1.49974 48.7% - 0s
0 0 1.49236 0 94 1.00835 1.49236 48.0% - 0s
0 0 1.48620 0 100 1.00835 1.48620 47.4% - 0s
0 0 1.48617 0 98 1.00835 1.48617 47.4% - 0s
0 0 1.48563 0 98 1.00835 1.48563 47.3% - 0s
0 0 1.48555 0 99 1.00835 1.48555 47.3% - 0s
0 0 1.48519 0 97 1.00835 1.48519 47.3% - 0s
0 0 1.48518 0 97 1.00835 1.48518 47.3% - 0s
0 0 1.48500 0 98 1.00835 1.48500 47.3% - 0s
0 0 1.48500 0 83 1.00835 1.48500 47.3% - 0s
0 2 1.48500 0 82 1.00835 1.48500 47.3% - 0s
Cutting planes:
Gomory: 9
Cover: 22
Implied bound: 36
MIR: 17
Flow cover: 94
Inf proof: 94
Explored 7389 nodes (53543 simplex iterations) in 4.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00835
Optimal solution found (tolerance 1.00e-02)
Best objective 1.008352621617e+00, best bound 1.016282226289e+00, gap 0.7864%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7difjnis.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkwppr51h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.999872
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.631699e+00, 613 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63170 0 59 0.99987 1.63170 63.2% - 0s
0 0 1.55699 0 83 0.99987 1.55699 55.7% - 0s
0 0 1.55473 0 81 0.99987 1.55473 55.5% - 0s
0 0 1.45142 0 81 0.99987 1.45142 45.2% - 0s
0 0 1.45031 0 85 0.99987 1.45031 45.0% - 0s
0 0 1.43674 0 95 0.99987 1.43674 43.7% - 0s
0 0 1.43574 0 99 0.99987 1.43574 43.6% - 0s
0 0 1.43256 0 101 0.99987 1.43256 43.3% - 0s
0 0 1.43256 0 102 0.99987 1.43256 43.3% - 0s
0 0 1.43213 0 103 0.99987 1.43213 43.2% - 0s
0 0 1.43205 0 103 0.99987 1.43205 43.2% - 0s
0 0 1.43199 0 102 0.99987 1.43199 43.2% - 0s
0 0 1.43199 0 81 0.99987 1.43199 43.2% - 0s
0 2 1.43199 0 81 0.99987 1.43199 43.2% - 0s
3970 548 1.07588 36 49 0.99987 1.09516 9.53% 9.6 5s
Cutting planes:
Learned: 2
Gomory: 44
Cover: 12
Implied bound: 13
Projected implied bound: 30
Clique: 4
MIR: 12
Flow cover: 64
Inf proof: 35
Network: 1
Explored 5668 nodes (59638 simplex iterations) in 6.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.999872
Optimal solution found (tolerance 1.00e-02)
Best objective 9.998716343890e-01, best bound 1.009173764380e+00, gap 0.9303%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcvvilk9m.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq1fivops.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.998293
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.603410e+00, 694 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60341 0 60 0.99829 1.60341 60.6% - 0s
0 0 1.55136 0 83 0.99829 1.55136 55.4% - 0s
0 0 1.54940 0 81 0.99829 1.54940 55.2% - 0s
0 0 1.43824 0 93 0.99829 1.43824 44.1% - 0s
0 0 1.43717 0 92 0.99829 1.43717 44.0% - 0s
0 0 1.42763 0 102 0.99829 1.42763 43.0% - 0s
0 0 1.42639 0 101 0.99829 1.42639 42.9% - 0s
0 0 1.42165 0 96 0.99829 1.42165 42.4% - 0s
0 0 1.42164 0 96 0.99829 1.42164 42.4% - 0s
0 0 1.42128 0 103 0.99829 1.42128 42.4% - 0s
0 0 1.42120 0 103 0.99829 1.42120 42.4% - 0s
0 0 1.42093 0 102 0.99829 1.42093 42.3% - 0s
0 0 1.42093 0 75 0.99829 1.42093 42.3% - 0s
0 2 1.42093 0 73 0.99829 1.42093 42.3% - 0s
4709 120 cutoff 63 0.99829 1.00831 1.00% 8.8 5s
Cutting planes:
Learned: 1
Gomory: 13
Cover: 4
Implied bound: 5
Projected implied bound: 28
Clique: 2
MIR: 12
Flow cover: 35
Flow path: 1
Inf proof: 35
Explored 4799 nodes (43498 simplex iterations) in 5.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.998293
Optimal solution found (tolerance 1.00e-02)
Best objective 9.982933675244e-01, best bound 1.003409787729e+00, gap 0.5125%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw6awyvi9.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpex0v4al5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00055
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.570771e+00, 684 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57077 0 63 1.00055 1.57077 57.0% - 0s
0 0 1.52095 0 85 1.00055 1.52095 52.0% - 0s
0 0 1.51906 0 83 1.00055 1.51906 51.8% - 0s
0 0 1.37888 0 97 1.00055 1.37888 37.8% - 0s
0 0 1.37786 0 98 1.00055 1.37786 37.7% - 0s
0 0 1.36900 0 96 1.00055 1.36900 36.8% - 0s
0 0 1.36789 0 94 1.00055 1.36789 36.7% - 0s
0 0 1.36474 0 93 1.00055 1.36474 36.4% - 0s
0 0 1.36473 0 95 1.00055 1.36473 36.4% - 0s
0 0 1.36454 0 99 1.00055 1.36454 36.4% - 0s
0 0 1.36431 0 103 1.00055 1.36431 36.4% - 0s
0 0 1.36431 0 102 1.00055 1.36431 36.4% - 0s
0 0 1.36431 0 84 1.00055 1.36431 36.4% - 0s
0 2 1.36431 0 83 1.00055 1.36431 36.4% - 0s
3305 401 1.07244 38 39 1.00055 1.08659 8.60% 11.1 5s
Cutting planes:
Learned: 1
Gomory: 29
Cover: 3
Implied bound: 11
Projected implied bound: 26
Clique: 4
MIR: 9
Flow cover: 45
Inf proof: 37
Network: 2
Explored 4882 nodes (52692 simplex iterations) in 6.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00055
Optimal solution found (tolerance 1.00e-02)
Best objective 1.000545638328e+00, best bound 1.010378701584e+00, gap 0.9828%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5n7p5xpe.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpubc_utoc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.978993
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.520834e+00, 760 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52083 0 64 0.97899 1.52083 55.3% - 0s
0 0 1.45758 0 88 0.97899 1.45758 48.9% - 0s
0 0 1.45575 0 86 0.97899 1.45575 48.7% - 0s
0 0 1.42302 0 103 0.97899 1.42302 45.4% - 0s
0 0 1.42185 0 100 0.97899 1.42185 45.2% - 0s
0 0 1.41186 0 105 0.97899 1.41186 44.2% - 0s
0 0 1.41024 0 109 0.97899 1.41024 44.0% - 0s
0 0 1.40525 0 116 0.97899 1.40525 43.5% - 0s
0 0 1.40524 0 116 0.97899 1.40524 43.5% - 0s
0 0 1.40479 0 115 0.97899 1.40479 43.5% - 0s
0 0 1.40472 0 117 0.97899 1.40472 43.5% - 0s
0 0 1.40464 0 118 0.97899 1.40464 43.5% - 0s
0 0 1.40464 0 104 0.97899 1.40464 43.5% - 0s
0 2 1.40464 0 99 0.97899 1.40464 43.5% - 0s
3821 476 0.99634 57 57 0.97899 1.06099 8.38% 11.9 5s
Cutting planes:
Learned: 3
Gomory: 3
Cover: 1
Implied bound: 5
MIR: 7
Flow cover: 28
Inf proof: 5
Explored 5568 nodes (63127 simplex iterations) in 6.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.978993
Optimal solution found (tolerance 1.00e-02)
Best objective 9.789932133285e-01, best bound 9.808969663370e-01, gap 0.1945%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxydt0yix.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfut_lss0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.973614
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.521139e+00, 767 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52114 0 61 0.97361 1.52114 56.2% - 0s
0 0 1.44624 0 87 0.97361 1.44624 48.5% - 0s
0 0 1.44453 0 87 0.97361 1.44453 48.4% - 0s
0 0 1.36333 0 103 0.97361 1.36333 40.0% - 0s
0 0 1.35746 0 103 0.97361 1.35746 39.4% - 0s
0 0 1.34295 0 108 0.97361 1.34295 37.9% - 0s
0 0 1.34165 0 109 0.97361 1.34165 37.8% - 0s
0 0 1.33809 0 116 0.97361 1.33809 37.4% - 0s
0 0 1.33798 0 112 0.97361 1.33798 37.4% - 0s
0 0 1.33770 0 110 0.97361 1.33770 37.4% - 0s
0 0 1.33770 0 109 0.97361 1.33770 37.4% - 0s
0 0 1.33758 0 117 0.97361 1.33758 37.4% - 0s
0 0 1.33758 0 95 0.97361 1.33758 37.4% - 0s
0 2 1.33758 0 91 0.97361 1.33758 37.4% - 0s
3457 594 1.00489 59 45 0.97361 1.08709 11.7% 10.5 5s
H 4714 807 0.9736139 1.05901 8.77% 10.1 6s
H 6687 476 0.9736139 1.02344 5.12% 10.6 8s
Cutting planes:
Learned: 4
Gomory: 25
Cover: 3
Implied bound: 25
Projected implied bound: 33
Clique: 2
MIR: 14
Flow cover: 54
Inf proof: 86
Network: 1
Explored 7467 nodes (80000 simplex iterations) in 9.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.973614 0.973614 0.973614
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.0829e-06) exceeds tolerance
Best objective 9.736139426400e-01, best bound 9.736139426400e-01, gap 0.0000%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9d_wndx3.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3i5ge5va.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.956512
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.486268e+00, 864 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48627 0 66 0.95651 1.48627 55.4% - 0s
0 0 1.42673 0 97 0.95651 1.42673 49.2% - 0s
0 0 1.42476 0 92 0.95651 1.42476 49.0% - 0s
0 0 1.33353 0 98 0.95651 1.33353 39.4% - 0s
0 0 1.33260 0 103 0.95651 1.33260 39.3% - 0s
0 0 1.32022 0 111 0.95651 1.32022 38.0% - 0s
0 0 1.31893 0 112 0.95651 1.31893 37.9% - 0s
0 0 1.31612 0 116 0.95651 1.31612 37.6% - 0s
0 0 1.31612 0 118 0.95651 1.31612 37.6% - 0s
0 0 1.31474 0 116 0.95651 1.31474 37.5% - 0s
0 0 1.31467 0 117 0.95651 1.31467 37.4% - 0s
0 0 1.31286 0 118 0.95651 1.31286 37.3% - 0s
0 0 1.31238 0 119 0.95651 1.31238 37.2% - 0s
0 0 1.31208 0 116 0.95651 1.31208 37.2% - 0s
0 0 1.31200 0 116 0.95651 1.31200 37.2% - 0s
0 0 1.31199 0 118 0.95651 1.31199 37.2% - 0s
0 0 1.31199 0 118 0.95651 1.31199 37.2% - 0s
0 0 1.31199 0 95 0.95651 1.31199 37.2% - 0s
0 2 1.31199 0 94 0.95651 1.31199 37.2% - 0s
2710 758 1.10389 30 76 0.95651 1.13245 18.4% 12.7 5s
8289 580 0.97781 83 28 0.95651 1.00317 4.88% 11.0 10s
Cutting planes:
Learned: 1
Gomory: 17
Cover: 1
Implied bound: 18
Projected implied bound: 42
MIR: 10
Flow cover: 86
Inf proof: 74
Explored 10025 nodes (110340 simplex iterations) in 12.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.956512
Optimal solution found (tolerance 1.00e-02)
Best objective 9.565116263827e-01, best bound 9.631392968305e-01, gap 0.6929%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkym7ojwj.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7sv3hvwr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.94153
Presolve removed 507 rows and 317 columns
Presolve time: 0.04s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.446063e+00, 789 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44606 0 66 0.94153 1.44606 53.6% - 0s
0 0 1.38735 0 93 0.94153 1.38735 47.4% - 0s
0 0 1.38587 0 95 0.94153 1.38587 47.2% - 0s
0 0 1.29675 0 99 0.94153 1.29675 37.7% - 0s
0 0 1.29663 0 105 0.94153 1.29663 37.7% - 0s
0 0 1.28236 0 107 0.94153 1.28236 36.2% - 0s
0 0 1.28097 0 107 0.94153 1.28097 36.1% - 0s
0 0 1.27975 0 113 0.94153 1.27975 35.9% - 0s
0 0 1.27859 0 109 0.94153 1.27859 35.8% - 0s
0 0 1.27847 0 114 0.94153 1.27847 35.8% - 0s
0 0 1.27843 0 119 0.94153 1.27843 35.8% - 0s
0 0 1.27730 0 109 0.94153 1.27730 35.7% - 0s
0 0 1.27728 0 114 0.94153 1.27728 35.7% - 0s
0 0 1.27719 0 116 0.94153 1.27719 35.7% - 0s
0 0 1.27718 0 116 0.94153 1.27718 35.6% - 0s
0 0 1.27718 0 115 0.94153 1.27718 35.6% - 0s
0 0 1.27718 0 96 0.94153 1.27718 35.6% - 0s
0 2 1.27718 0 89 0.94153 1.27718 35.6% - 0s
2614 573 1.02829 31 65 0.94153 1.08692 15.4% 12.1 5s
H 4983 860 0.9415298 1.03652 10.1% 11.3 7s
H 6527 1119 0.9415298 1.02547 8.92% 11.3 8s
7490 1163 infeasible 54 0.94153 1.01402 7.70% 11.2 10s
Cutting planes:
Learned: 2
Gomory: 29
Cover: 6
Implied bound: 20
Projected implied bound: 23
Clique: 2
MIR: 15
Flow cover: 44
Inf proof: 102
Network: 1
Explored 10176 nodes (112705 simplex iterations) in 12.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.94153 0.94153 0.94153
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.9206e-06) exceeds tolerance
Best objective 9.415297735541e-01, best bound 9.464084737012e-01, gap 0.5182%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_iep8j3_.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsfsrypy6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2480_ by 1.000000000
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.437909e+00, 835 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43791 0 68 - 1.43791 - - 0s
Another try with MIP start
H 0 0 0.9334880 1.43791 54.0% - 0s
0 0 1.38451 0 97 0.93349 1.38451 48.3% - 0s
0 0 1.38253 0 95 0.93349 1.38253 48.1% - 0s
0 0 1.30014 0 99 0.93349 1.30014 39.3% - 0s
0 0 1.29913 0 98 0.93349 1.29913 39.2% - 0s
0 0 1.28474 0 120 0.93349 1.28474 37.6% - 0s
0 0 1.28303 0 121 0.93349 1.28303 37.4% - 0s
0 0 1.27731 0 124 0.93349 1.27731 36.8% - 0s
0 0 1.27730 0 124 0.93349 1.27730 36.8% - 0s
0 0 1.27686 0 130 0.93349 1.27686 36.8% - 0s
0 0 1.27678 0 130 0.93349 1.27678 36.8% - 0s
0 0 1.27667 0 132 0.93349 1.27667 36.8% - 0s
0 0 1.27667 0 94 0.93349 1.27667 36.8% - 0s
0 2 1.27667 0 92 0.93349 1.27667 36.8% - 0s
1715 627 cutoff 52 0.93349 1.14384 22.5% 15.4 5s
6374 1401 1.00940 53 65 0.93349 1.03737 11.1% 13.5 10s
H 6886 1516 0.9334880 1.03199 10.6% 13.4 10s
H 6887 1516 0.9334880 1.03199 10.6% 13.4 10s
10090 1040 cutoff 64 0.93349 0.98004 4.99% 13.4 15s
Cutting planes:
Learned: 2
Gomory: 38
Cover: 1
Implied bound: 14
Projected implied bound: 45
MIR: 9
Flow cover: 82
Inf proof: 107
Explored 12312 nodes (161464 simplex iterations) in 17.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.933488 0.933488 0.933488
Optimal solution found (tolerance 1.00e-02)
Best objective 9.334880483488e-01, best bound 9.412023174642e-01, gap 0.8264%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgp6h3_p6.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphh8leng6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.932646
Presolve removed 533 rows and 333 columns
Presolve time: 0.04s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.425657e+00, 835 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42566 0 68 0.93265 1.42566 52.9% - 0s
0 0 1.38825 0 95 0.93265 1.38825 48.9% - 0s
0 0 1.38661 0 92 0.93265 1.38661 48.7% - 0s
0 0 1.29166 0 109 0.93265 1.29166 38.5% - 0s
0 0 1.29036 0 107 0.93265 1.29036 38.4% - 0s
0 0 1.27641 0 114 0.93265 1.27641 36.9% - 0s
0 0 1.27468 0 121 0.93265 1.27468 36.7% - 0s
0 0 1.26964 0 133 0.93265 1.26964 36.1% - 0s
0 0 1.26964 0 130 0.93265 1.26964 36.1% - 0s
0 0 1.26916 0 137 0.93265 1.26916 36.1% - 0s
0 0 1.26910 0 138 0.93265 1.26910 36.1% - 0s
0 0 1.26910 0 138 0.93265 1.26910 36.1% - 0s
0 0 1.26910 0 101 0.93265 1.26910 36.1% - 0s
0 2 1.26910 0 101 0.93265 1.26910 36.1% - 0s
1627 446 infeasible 48 0.93265 1.11929 20.0% 16.7 5s
H 2411 479 0.9326458 1.08235 16.1% 15.2 6s
6471 1167 infeasible 80 0.93265 1.00782 8.06% 11.9 10s
10528 974 infeasible 74 0.93265 0.97353 4.38% 12.5 15s
Cutting planes:
Learned: 1
Gomory: 22
Cover: 3
Implied bound: 27
Projected implied bound: 51
MIR: 20
Flow cover: 98
Flow path: 2
Inf proof: 140
Explored 13591 nodes (172218 simplex iterations) in 18.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.932646 0.932646
Optimal solution found (tolerance 1.00e-02)
Best objective 9.326458347605e-01, best bound 9.402270908147e-01, gap 0.8129%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwtrxftuy.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsb83h6z1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927873
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.399835e+00, 938 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39984 0 73 0.92787 1.39984 50.9% - 0s
0 0 1.34487 0 104 0.92787 1.34487 44.9% - 0s
0 0 1.34263 0 101 0.92787 1.34263 44.7% - 0s
0 0 1.26931 0 103 0.92787 1.26931 36.8% - 0s
0 0 1.26904 0 103 0.92787 1.26904 36.8% - 0s
0 0 1.26206 0 114 0.92787 1.26206 36.0% - 0s
0 0 1.25961 0 108 0.92787 1.25961 35.8% - 0s
0 0 1.25475 0 116 0.92787 1.25475 35.2% - 0s
0 0 1.25424 0 119 0.92787 1.25424 35.2% - 0s
0 0 1.25409 0 122 0.92787 1.25409 35.2% - 0s
0 0 1.25391 0 124 0.92787 1.25391 35.1% - 0s
0 0 1.25389 0 123 0.92787 1.25389 35.1% - 0s
0 0 1.25388 0 126 0.92787 1.25388 35.1% - 0s
0 0 1.25388 0 96 0.92787 1.25388 35.1% - 0s
0 2 1.25388 0 90 0.92787 1.25388 35.1% - 0s
2275 794 0.99188 91 40 0.92787 1.09479 18.0% 12.5 5s
8360 1554 infeasible 67 0.92787 1.01183 9.05% 10.2 10s
12958 1223 infeasible 54 0.92787 0.97214 4.77% 10.2 15s
Cutting planes:
Learned: 1
Gomory: 17
Cover: 4
Implied bound: 29
Projected implied bound: 50
MIR: 12
Flow cover: 63
Flow path: 1
Inf proof: 159
Explored 16417 nodes (173115 simplex iterations) in 18.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.927873
Optimal solution found (tolerance 1.00e-02)
Best objective 9.278729712193e-01, best bound 9.327917678742e-01, gap 0.5301%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph735aee1.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnuq_n5o2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.92572
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.379016e+00, 943 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37902 0 73 0.92572 1.37902 49.0% - 0s
0 0 1.34463 0 103 0.92572 1.34463 45.3% - 0s
0 0 1.34307 0 99 0.92572 1.34307 45.1% - 0s
0 0 1.27149 0 115 0.92572 1.27149 37.4% - 0s
0 0 1.27070 0 117 0.92572 1.27070 37.3% - 0s
0 0 1.26209 0 119 0.92572 1.26209 36.3% - 0s
0 0 1.26143 0 121 0.92572 1.26143 36.3% - 0s
0 0 1.25763 0 122 0.92572 1.25763 35.9% - 0s
0 0 1.25739 0 123 0.92572 1.25739 35.8% - 0s
0 0 1.25713 0 121 0.92572 1.25713 35.8% - 0s
0 0 1.25707 0 121 0.92572 1.25707 35.8% - 0s
0 0 1.25707 0 121 0.92572 1.25707 35.8% - 0s
0 0 1.25706 0 121 0.92572 1.25706 35.8% - 0s
0 0 1.25706 0 92 0.92572 1.25706 35.8% - 0s
0 2 1.25706 0 86 0.92572 1.25706 35.8% - 0s
1492 630 1.07206 21 108 0.92572 1.09399 18.2% 16.2 5s
5890 1152 0.95331 90 57 0.92572 0.99990 8.01% 13.4 10s
9739 343 cutoff 55 0.92572 0.94104 1.66% 14.0 15s
Cutting planes:
Learned: 2
Gomory: 21
Cover: 5
Implied bound: 24
Projected implied bound: 60
MIR: 28
Flow cover: 91
Flow path: 1
Inf proof: 104
Explored 10145 nodes (142289 simplex iterations) in 15.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.92572
Optimal solution found (tolerance 1.00e-02)
Best objective 9.257198166871e-01, best bound 9.332043585916e-01, gap 0.8085%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfcnol725.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcxbwfis6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911227
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.354090e+00, 908 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35409 0 75 0.91123 1.35409 48.6% - 0s
0 0 1.31938 0 101 0.91123 1.31938 44.8% - 0s
0 0 1.31786 0 101 0.91123 1.31786 44.6% - 0s
0 0 1.28850 0 129 0.91123 1.28850 41.4% - 0s
0 0 1.28717 0 128 0.91123 1.28717 41.3% - 0s
0 0 1.27358 0 142 0.91123 1.27358 39.8% - 0s
0 0 1.27057 0 149 0.91123 1.27057 39.4% - 0s
0 0 1.26718 0 151 0.91123 1.26718 39.1% - 0s
0 0 1.26718 0 150 0.91123 1.26718 39.1% - 0s
0 0 1.26586 0 156 0.91123 1.26586 38.9% - 0s
0 0 1.26581 0 157 0.91123 1.26581 38.9% - 0s
0 0 1.26418 0 161 0.91123 1.26418 38.7% - 0s
0 0 1.26338 0 163 0.91123 1.26338 38.6% - 0s
0 0 1.26332 0 163 0.91123 1.26332 38.6% - 0s
0 0 1.26331 0 163 0.91123 1.26331 38.6% - 0s
0 0 1.26329 0 162 0.91123 1.26329 38.6% - 0s
0 0 1.26328 0 163 0.91123 1.26328 38.6% - 0s
0 0 1.26328 0 163 0.91123 1.26328 38.6% - 0s
0 0 1.26328 0 136 0.91123 1.26328 38.6% - 0s
0 2 1.26328 0 130 0.91123 1.26328 38.6% - 0s
1163 461 0.94868 82 72 0.91123 1.10740 21.5% 18.1 5s
6651 1421 0.97963 80 38 0.91123 0.98548 8.15% 10.9 10s
11264 1260 0.94545 92 46 0.91123 0.95531 4.84% 11.0 15s
Cutting planes:
Gomory: 15
Cover: 4
Implied bound: 5
Projected implied bound: 31
MIR: 9
Flow cover: 40
Flow path: 1
Inf proof: 7
Explored 14144 nodes (155928 simplex iterations) in 19.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.911227
Optimal solution found (tolerance 1.00e-02)
Best objective 9.112268006184e-01, best bound 9.175433712351e-01, gap 0.6932%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0a0k0xsz.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpip17670f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899795
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.337386e+00, 996 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33739 0 75 0.89979 1.33739 48.6% - 0s
0 0 1.30555 0 111 0.89979 1.30555 45.1% - 0s
0 0 1.30405 0 106 0.89979 1.30405 44.9% - 0s
0 0 1.27650 0 128 0.89979 1.27650 41.9% - 0s
0 0 1.27402 0 128 0.89979 1.27402 41.6% - 0s
0 0 1.26084 0 145 0.89979 1.26084 40.1% - 0s
0 0 1.25953 0 151 0.89979 1.25953 40.0% - 0s
0 0 1.25529 0 154 0.89979 1.25529 39.5% - 0s
0 0 1.25529 0 153 0.89979 1.25529 39.5% - 0s
0 0 1.25455 0 160 0.89979 1.25455 39.4% - 0s
0 0 1.25450 0 164 0.89979 1.25450 39.4% - 0s
0 0 1.25449 0 166 0.89979 1.25449 39.4% - 0s
0 0 1.25449 0 166 0.89979 1.25449 39.4% - 0s
0 0 1.25447 0 166 0.89979 1.25447 39.4% - 0s
0 0 1.25447 0 134 0.89979 1.25447 39.4% - 0s
0 2 1.25447 0 132 0.89979 1.25447 39.4% - 0s
1182 612 0.97138 90 55 0.89979 1.12983 25.6% 18.5 5s
H 3733 968 0.8997948 1.04399 16.0% 13.5 8s
5711 1529 infeasible 69 0.89979 1.01907 13.3% 12.4 10s
H 8373 1931 0.8997948 0.98716 9.71% 11.8 12s
10302 2118 0.95558 65 70 0.89979 0.97609 8.48% 11.7 15s
H13551 2057 0.8997948 0.96121 6.83% 12.4 19s
13580 1977 0.94645 56 82 0.89979 0.96121 6.83% 12.4 20s
16306 1164 infeasible 85 0.89979 0.93874 4.33% 13.3 25s
Cutting planes:
Learned: 1
Gomory: 24
Cover: 3
Implied bound: 27
Projected implied bound: 60
MIR: 17
Flow cover: 89
Flow path: 1
Inf proof: 194
Explored 18215 nodes (244004 simplex iterations) in 27.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.899795 0.899795 0.899795 0.899795
Optimal solution found (tolerance 1.00e-02)
Best objective 8.997948470511e-01, best bound 9.080102482007e-01, gap 0.9130%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6dabjr76.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpizfryybb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.896814
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.318666e+00, 991 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31867 0 75 0.89681 1.31867 47.0% - 0s
0 0 1.28564 0 106 0.89681 1.28564 43.4% - 0s
0 0 1.28447 0 107 0.89681 1.28447 43.2% - 0s
0 0 1.25586 0 128 0.89681 1.25586 40.0% - 0s
0 0 1.25406 0 132 0.89681 1.25406 39.8% - 0s
0 0 1.23844 0 151 0.89681 1.23844 38.1% - 0s
0 0 1.23738 0 153 0.89681 1.23738 38.0% - 0s
0 0 1.23588 0 160 0.89681 1.23588 37.8% - 0s
0 0 1.23586 0 161 0.89681 1.23586 37.8% - 0s
0 0 1.23560 0 160 0.89681 1.23560 37.8% - 0s
0 0 1.23556 0 162 0.89681 1.23556 37.8% - 0s
0 0 1.23556 0 138 0.89681 1.23556 37.8% - 0s
0 2 1.23556 0 130 0.89681 1.23556 37.8% - 0s
945 539 1.02565 35 104 0.89681 1.13832 26.9% 19.0 5s
H 2344 620 0.8968141 1.08089 20.5% 16.9 7s
3813 809 infeasible 44 0.89681 1.01980 13.7% 16.3 10s
8380 1269 infeasible 64 0.89681 0.95585 6.58% 13.5 15s
H 9445 1275 0.8968141 0.94005 4.82% 13.3 16s
11408 1109 0.91756 67 54 0.89681 0.92256 2.87% 13.1 20s
Cutting planes:
Gomory: 13
Cover: 3
Implied bound: 18
Projected implied bound: 53
MIR: 24
Flow cover: 106
Flow path: 1
Inf proof: 140
Explored 13559 nodes (177165 simplex iterations) in 22.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.896814 0.896814 0.896814
Optimal solution found (tolerance 1.00e-02)
Best objective 8.968140686087e-01, best bound 9.053043038902e-01, gap 0.9467%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqxe1iosd.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqvytxjeu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.886355
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.294584e+00, 956 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29458 0 77 0.88635 1.29458 46.1% - 0s
0 0 1.26529 0 116 0.88635 1.26529 42.8% - 0s
0 0 1.26384 0 111 0.88635 1.26384 42.6% - 0s
0 0 1.23501 0 133 0.88635 1.23501 39.3% - 0s
0 0 1.23415 0 132 0.88635 1.23415 39.2% - 0s
0 0 1.22119 0 148 0.88635 1.22119 37.8% - 0s
0 0 1.21807 0 157 0.88635 1.21807 37.4% - 0s
0 0 1.21517 0 158 0.88635 1.21517 37.1% - 0s
0 0 1.21514 0 158 0.88635 1.21514 37.1% - 0s
0 0 1.21485 0 157 0.88635 1.21485 37.1% - 0s
0 0 1.21442 0 158 0.88635 1.21442 37.0% - 0s
0 0 1.21439 0 160 0.88635 1.21439 37.0% - 0s
0 0 1.21439 0 162 0.88635 1.21439 37.0% - 0s
0 0 1.21437 0 164 0.88635 1.21437 37.0% - 0s
0 0 1.21437 0 164 0.88635 1.21437 37.0% - 0s
0 0 1.21390 0 165 0.88635 1.21390 37.0% - 0s
0 0 1.21388 0 164 0.88635 1.21388 37.0% - 0s
0 0 1.21121 0 162 0.88635 1.21121 36.7% - 0s
0 0 1.21120 0 163 0.88635 1.21120 36.6% - 0s
0 0 1.21111 0 163 0.88635 1.21111 36.6% - 0s
0 0 1.21108 0 163 0.88635 1.21108 36.6% - 0s
0 0 1.21108 0 142 0.88635 1.21108 36.6% - 0s
0 2 1.21108 0 142 0.88635 1.21108 36.6% - 0s
819 516 1.09057 17 102 0.88635 1.09847 23.9% 20.7 5s
4730 964 cutoff 72 0.88635 0.98586 11.2% 13.6 10s
H 6557 1445 0.8863547 0.97221 9.69% 12.6 11s
8754 1573 infeasible 88 0.88635 0.95030 7.21% 12.2 15s
12293 655 infeasible 128 0.88635 0.90410 2.00% 12.6 20s
Cutting planes:
Gomory: 18
Cover: 1
Implied bound: 18
Projected implied bound: 58
MIR: 22
Flow cover: 76
Flow path: 2
Inf proof: 131
Explored 13079 nodes (167288 simplex iterations) in 21.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.886355 0.886355
Optimal solution found (tolerance 1.00e-02)
Best objective 8.863547378757e-01, best bound 8.938282760458e-01, gap 0.8432%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5gnhqh7l.pyomo.lp
Reading time = 0.02 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuoiuhkov.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.877164
Presolve removed 624 rows and 389 columns
Presolve time: 0.05s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.279668e+00, 1035 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27967 0 78 0.87716 1.27967 45.9% - 0s
0 0 1.24834 0 107 0.87716 1.24834 42.3% - 0s
0 0 1.24725 0 107 0.87716 1.24725 42.2% - 0s
0 0 1.22035 0 127 0.87716 1.22035 39.1% - 0s
0 0 1.21865 0 130 0.87716 1.21865 38.9% - 0s
0 0 1.20567 0 140 0.87716 1.20567 37.5% - 0s
0 0 1.20290 0 149 0.87716 1.20290 37.1% - 0s
0 0 1.20110 0 153 0.87716 1.20110 36.9% - 0s
0 0 1.20110 0 151 0.87716 1.20110 36.9% - 0s
0 0 1.20092 0 156 0.87716 1.20092 36.9% - 0s
0 0 1.20017 0 156 0.87716 1.20017 36.8% - 0s
0 0 1.20017 0 159 0.87716 1.20017 36.8% - 0s
0 0 1.20017 0 157 0.87716 1.20017 36.8% - 0s
0 0 1.20017 0 158 0.87716 1.20017 36.8% - 0s
0 0 1.20017 0 159 0.87716 1.20017 36.8% - 0s
0 0 1.20017 0 159 0.87716 1.20017 36.8% - 0s
0 0 1.20017 0 133 0.87716 1.20017 36.8% - 0s
0 2 1.20017 0 131 0.87716 1.20017 36.8% - 0s
750 510 infeasible 11 0.87716 1.10193 25.6% 22.5 5s
2763 766 0.96745 85 67 0.87716 1.03238 17.7% 19.1 10s
6510 1196 0.88452 89 73 0.87716 0.95643 9.04% 15.4 15s
H 7104 1329 0.8771635 0.95216 8.55% 15.0 16s
9815 1294 0.91698 69 69 0.87716 0.93110 6.15% 14.6 20s
Cutting planes:
Gomory: 31
Cover: 1
Implied bound: 20
Projected implied bound: 65
MIR: 29
Flow cover: 113
Flow path: 2
Inf proof: 134
Zero half: 1
Explored 12488 nodes (182006 simplex iterations) in 24.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.877164 0.877164
Optimal solution found (tolerance 1.00e-02)
Best objective 8.771635368232e-01, best bound 8.855759585846e-01, gap 0.9590%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpci1onfph.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnkr3rfx9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.867556
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.253819e+00, 1007 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25382 0 80 0.86756 1.25382 44.5% - 0s
0 0 1.22165 0 117 0.86756 1.22165 40.8% - 0s
0 0 1.22058 0 115 0.86756 1.22058 40.7% - 0s
0 0 1.19579 0 138 0.86756 1.19579 37.8% - 0s
0 0 1.19409 0 141 0.86756 1.19409 37.6% - 0s
0 0 1.18275 0 151 0.86756 1.18275 36.3% - 0s
0 0 1.17973 0 157 0.86756 1.17973 36.0% - 0s
0 0 1.17714 0 162 0.86756 1.17714 35.7% - 0s
0 0 1.17712 0 162 0.86756 1.17712 35.7% - 0s
0 0 1.17687 0 165 0.86756 1.17687 35.7% - 0s
0 0 1.17686 0 166 0.86756 1.17686 35.7% - 0s
0 0 1.17681 0 171 0.86756 1.17681 35.6% - 0s
0 0 1.17681 0 146 0.86756 1.17681 35.6% - 0s
0 2 1.17681 0 139 0.86756 1.17681 35.6% - 0s
1284 643 0.99276 43 70 0.86756 1.05302 21.4% 16.5 5s
H 4490 858 0.8675559 0.96763 11.5% 12.3 8s
5179 902 0.91505 93 50 0.86756 0.95375 9.94% 11.7 10s
H 7949 1881 0.8675559 0.94142 8.51% 10.4 11s
10436 2063 0.91122 80 43 0.86756 0.92619 6.76% 10.6 15s
14055 1528 0.88773 74 43 0.86756 0.90704 4.55% 10.9 20s
17573 345 infeasible 110 0.86756 0.88337 1.82% 10.9 25s
Cutting planes:
Learned: 1
Gomory: 9
Cover: 1
Implied bound: 8
Projected implied bound: 30
MIR: 7
Flow cover: 54
Flow path: 1
Inf proof: 8
Network: 1
Explored 18253 nodes (199157 simplex iterations) in 25.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.867556 0.867556 0.867556
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (1.2142e-06) exceeds tolerance
Best objective 8.675558599435e-01, best bound 8.702950584367e-01, gap 0.3157%
Run 2
Seed for training 769
Seed for simulation 893
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.68236025e-04, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.34785948146792073
fun: -0.3478594814669072
message: 'Optimization terminated successfully.'
nfev: 385
nit: 3
status: 0
success: True
x: array([400., 2., 1.])
xopt: array([400., 2., 1.])
zopt: array([400., 402., 403.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmufx3ka5.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg04_np6j.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.347859
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.329350e+00, 1187 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32935 0 91 0.34786 1.32935 282% - 0s
0 0 1.31311 0 116 0.34786 1.31311 277% - 0s
0 0 1.31309 0 117 0.34786 1.31309 277% - 0s
0 0 1.30418 0 120 0.34786 1.30418 275% - 0s
0 0 1.30379 0 114 0.34786 1.30379 275% - 0s
0 0 1.30264 0 117 0.34786 1.30264 274% - 0s
0 0 1.30264 0 117 0.34786 1.30264 274% - 0s
0 0 1.30133 0 116 0.34786 1.30133 274% - 0s
0 0 1.30119 0 117 0.34786 1.30119 274% - 0s
0 0 1.30119 0 117 0.34786 1.30119 274% - 0s
0 0 1.30119 0 107 0.34786 1.30119 274% - 0s
0 2 1.30119 0 104 0.34786 1.30119 274% - 0s
* 454 259 124 0.3799532 1.20053 216% 11.3 1s
1695 430 infeasible 44 0.37995 1.08997 187% 14.2 5s
* 3064 874 122 0.4238481 1.05154 148% 11.5 6s
* 5244 1472 123 0.4510472 1.02561 127% 10.6 8s
6572 1890 infeasible 74 0.45105 1.01188 124% 10.2 10s
* 6956 1971 127 0.4864765 1.00833 107% 10.1 10s
H 9715 2704 0.5590570 0.98121 75.5% 9.4 12s
*10728 1966 173 0.8355841 0.96884 15.9% 9.2 13s
12193 2397 0.90655 43 116 0.83558 0.95263 14.0% 9.1 15s
*13613 2510 146 0.8472136 0.94604 11.7% 8.8 16s
H14613 2426 0.8548805 0.93802 9.73% 8.9 18s
15573 2205 0.92311 57 91 0.85488 0.92324 8.00% 9.1 20s
*16281 1867 119 0.8625608 0.91703 6.31% 9.3 21s
*18015 1398 114 0.8628437 0.89480 3.70% 9.5 24s
18416 1216 cutoff 73 0.86284 0.88996 3.14% 9.6 25s
*19124 879 109 0.8649500 0.88332 2.12% 9.6 26s
*20120 344 109 0.8652404 0.87217 0.80% 9.5 27s
Cutting planes:
Learned: 1
Gomory: 2
Implied bound: 8
MIR: 15
Flow cover: 19
Inf proof: 3
Explored 20792 nodes (196012 simplex iterations) in 28.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.86524 0.86495 0.862844 ... 0.451047
Optimal solution found (tolerance 0.00e+00)
Best objective 8.652404384316e-01, best bound 8.652404384316e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp47dadjsq.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbxllyw6x.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 574 rows and 428 columns
Presolve time: 0.00s
Presolved: 372 rows, 383 columns, 1596 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.1669560e+02 6.434487e+03 0.000000e+00 0s
260 1.2196040e+01 0.000000e+00 0.000000e+00 0s
Solved in 260 iterations and 0.01 seconds
Optimal objective 1.219603968e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.00974116, 0.00149752, 0.00149752]])
fopt: 1.084625924166922
fun: -1.0904363079500337
message: 'Optimization terminated successfully.'
nfev: 161
nit: 2
status: 0
success: True
x: array([14.00000021, -0.99998089, -0.99998089])
xopt: array([14., 0., 0.])
zopt: array([14., 14., 14.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.28646304e-03, 2.03121850e-04, 1.72580908e-03]])
fopt: 1.8227522468613895
fun: -1.8438584109557157
message: 'Optimization terminated successfully.'
nfev: 146
nit: 2
status: 0
success: True
x: array([ 33.35573496, -0.99986463, -14.99085628])
xopt: array([33., 0., 0.])
zopt: array([33., 33., 33.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.63641541e-07, 1.16477699e-08, 1.16231084e-08]])
fopt: 1.2743008040185089
fun: -1.28857334715844
message: 'Optimization terminated successfully.'
nfev: 205
nit: 2
status: 0
success: True
x: array([46.26901547, -1. , -0.99576685])
xopt: array([46., 0., 0.])
zopt: array([46., 46., 46.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.11022007e-02, 6.80359241e-04, 3.06113357e-02],
[ 7.89546760e-06, -3.64816246e-04, -3.59938799e-04]])
fopt: 1.3364170876108423
fun: -1.3475805756716426
message: 'Optimization terminated successfully.'
nfev: 236
nit: 3
status: 0
success: True
x: array([ 6.30108748e+01, 3.33017284e-04, -8.69988420e+01])
xopt: array([63., 0., 0.])
zopt: array([63., 63., 63.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.82575748e-07, -9.41171064e-11, -3.20506626e-10]])
fopt: 1.2377185680952345
fun: -1.2411572018508128
message: 'Optimization terminated successfully.'
nfev: 180
nit: 2
status: 0
success: True
x: array([78.35013939, 1.03907694, 1.13308955])
xopt: array([78., 1., 1.])
zopt: array([78., 79., 80.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.69995209e-03, -5.08908505e-07, -7.07485887e-06]])
fopt: 1.0239401496125564
fun: -1.0289117869065514
message: 'Optimization terminated successfully.'
nfev: 232
nit: 2
status: 0
success: True
x: array([78.10594999, 1.00683357, 1.09570496])
xopt: array([78., 1., 1.])
zopt: array([78., 79., 80.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.27323290e-03, 5.46362699e-07, -7.22092577e-06]])
fopt: 1.0617967603975653
fun: -1.0624667889604287
message: 'Optimization terminated successfully.'
nfev: 265
nit: 3
status: 0
success: True
x: array([109.97638431, 1.04191695, -1.23705966])
xopt: array([109., 2., 0.])
zopt: array([109., 111., 111.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.55402334e-03, -0.00000000e+00, 2.30918033e-04]])
fopt: 0.9915998289737016
fun: -0.9984573259465362
message: 'Optimization terminated successfully.'
nfev: 310
nit: 3
status: 0
success: True
x: array([127.08280849, 1. , -17.99999167])
xopt: array([127., 1., 0.])
zopt: array([127., 128., 128.])
*******************************************
Period: 9
direc: array([[ 6.19554839e-03, 4.98190052e-11, -6.92356434e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.42166147e-06, -4.95753590e-11, -7.63360865e-04]])
fopt: 0.9081536045986771
fun: -0.9128148535498452
message: 'Optimization terminated successfully.'
nfev: 467
nit: 4
status: 0
success: True
x: array([142.87309354, 1.00000101, -2.53912984])
xopt: array([142., 2., 0.])
zopt: array([142., 144., 144.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.76005930e-05, -7.93047774e-09, 5.61549682e-07]])
fopt: 0.8477891213732281
fun: -0.8493370433650109
message: 'Optimization terminated successfully.'
nfev: 214
nit: 2
status: 0
success: True
x: array([160.27953539, 1.0265362 , -0.87907989])
xopt: array([160., 1., 0.])
zopt: array([160., 161., 161.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.28494412e-02, 1.90850560e-04, 3.77575965e-07]])
fopt: 0.7486000713495866
fun: -0.7505596413949777
message: 'Optimization terminated successfully.'
nfev: 377
nit: 3
status: 0
success: True
x: array([173.15412203, 2.00019085, 1.01057878])
xopt: array([173., 2., 1.])
zopt: array([173., 175., 176.])
*******************************************
Period: 12
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.13373155e-02, 5.91878544e-05, 1.31869140e-06]])
fopt: 0.7125003827587
fun: -0.7110162785086553
message: 'Optimization terminated successfully.'
nfev: 329
nit: 3
status: 0
success: True
x: array([192.55934428, 2.00000641, 1.02193209])
xopt: array([192., 2., 1.])
zopt: array([192., 194., 195.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6232942397871121
fun: -0.6199670483793279
message: 'Optimization terminated successfully.'
nfev: 277
nit: 3
status: 0
success: True
x: array([207.99940565, 2.14549145, 1.0000061 ])
xopt: array([207., 2., 2.])
zopt: array([207., 209., 211.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5774380876886636
fun: -0.5749524861474402
message: 'Optimization terminated successfully.'
nfev: 288
nit: 3
status: 0
success: True
x: array([207.99848117, 2.00813062, 1.00022612])
xopt: array([207., 2., 2.])
zopt: array([207., 209., 211.])
*******************************************
Period: 15
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.99384102e-02, 2.41591803e-04, 2.41591803e-04]])
fopt: 0.5140545033668863
fun: -0.5118666665233242
message: 'Optimization terminated successfully.'
nfev: 355
nit: 3
status: 0
success: True
x: array([207.75566927, 2.00020586, 2.0002415 ])
xopt: array([207., 2., 2.])
zopt: array([207., 209., 211.])
*******************************************
Period: 16
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.46561168e-03, 1.82703841e-05, 1.68093996e-05]])
fopt: 0.4280454288516339
fun: -0.4299962618081995
message: 'Optimization terminated successfully.'
nfev: 282
nit: 3
status: 0
success: True
x: array([207.1745225 , 2.08692138, 2.00250324])
xopt: array([207., 2., 2.])
zopt: array([207., 209., 211.])
*******************************************
Period: 17
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.00728559e-02, 1.14360443e-05, 3.01407973e-09]])
fopt: 0.35069731103108176
fun: -0.3521430450166601
message: 'Optimization terminated successfully.'
nfev: 211
nit: 2
status: 0
success: True
x: array([209.25531006, 1.11864859, 1.00002655])
xopt: array([209., 1., 1.])
zopt: array([209., 210., 211.])
*******************************************
Period: 18
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.2693994554802064
fun: -0.2681353392889987
message: 'Optimization terminated successfully.'
nfev: 403
nit: 4
status: 0
success: True
x: array([208.76804486, 1.05400164, 2.00055042])
xopt: array([208., 1., 2.])
zopt: array([208., 209., 211.])
*******************************************
Period: 19
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-3.14536886, 30.52483405, 17.87740292]])
fopt: 0.8132202688857598
fun: -0.8143449144084506
message: 'Optimization terminated successfully.'
nfev: 415
nit: 7
status: 0
success: True
x: array([ 72.00304271, 149.0000425 , 94.16689232])
xopt: array([ 72., 149., 94.])
zopt: array([ 72., 221., 315.])
*******************************************
Period: 20
direc: array([[-4.05372057e+01, -3.63328078e-01, 4.43198723e+01],
[-1.32661832e-03, -5.35305389e-04, -1.99471345e-02],
[-6.01095735e-07, 9.99999757e-01, -9.03812139e-06]])
fopt: 0.7264047098458948
fun: -0.7271901620218029
message: 'Optimization terminated successfully.'
nfev: 715
nit: 8
status: 0
success: True
x: array([171.0564425 , 7.01916303, 150.00002899])
xopt: array([171., 7., 151.])
zopt: array([171., 178., 329.])
*******************************************
Period: 21
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-157.58309571, 62.3206822 , 42.62850395]])
fopt: 0.38090967172999163
fun: -0.37903648096664894
message: 'Optimization terminated successfully.'
nfev: 367
nit: 6
status: 0
success: True
x: array([94.91368654, 70.00141973, 49.48321673])
xopt: array([94., 71., 50.])
zopt: array([ 94., 165., 215.])
*******************************************
Period: 22
direc: array([[ 0. , 0. , 1. ],
[ 52.56989219, 0.25367517, 0.26143255],
[-72.51140415, 101.02565005, 27.36336475]])
fopt: 0.5915864746544803
fun: -0.5924838159500597
message: 'Optimization terminated successfully.'
nfev: 516
nit: 8
status: 0
success: True
x: array([ 72.2621842 , 205.0069912 , 41.22427615])
xopt: array([ 72., 205., 41.])
zopt: array([ 72., 277., 318.])
*******************************************
Period: 23
direc: array([[-2.28691785e+00, 4.33854731e+01, 7.02386780e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.01345473e-02, -3.10779592e-02, -5.08375261e-02]])
fopt: 0.8123692614305907
fun: -0.809397866333003
message: 'Optimization terminated successfully.'
nfev: 455
nit: 7
status: 0
success: True
x: array([ 84.92617021, 104. , 176.38915851])
xopt: array([ 85., 104., 177.])
zopt: array([ 85., 189., 366.])
*******************************************
Period: 24
direc: array([[-1.81104200e+02, 9.01699265e+01, 6.01132843e+01],
[-1.03170826e-02, -1.53949282e-03, 8.34044620e-06],
[ 8.15926737e-07, 4.62714278e+01, -2.70827814e-07]])
fopt: 0.6244742405448562
fun: -0.6244740761147157
message: 'Optimization terminated successfully.'
nfev: 1055
nit: 12
status: 0
success: True
x: array([ 71.78446022, 165.10858353, 78.0725811 ])
xopt: array([ 72., 165., 79.])
zopt: array([ 72., 237., 316.])
*******************************************
Period: 25
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-39.6563032 , 38.33594291, 25.55729527]])
fopt: 0.7206766042853749
fun: -0.7206034492896604
message: 'Optimization terminated successfully.'
nfev: 482
nit: 7
status: 0
success: True
x: array([ 72.00223273, 107.00000108, 136.21025157])
xopt: array([ 72., 107., 137.])
zopt: array([ 72., 179., 316.])
*******************************************
Period: 26
direc: array([[ 1. , 0. , 0. ],
[ -1.03444184, 1. , 0. ],
[-203.50585317, 168.08463713, 113.94189918]])
fopt: 0.654177472791021
fun: -0.6541608608919386
message: 'Optimization terminated successfully.'
nfev: 517
nit: 7
status: 0
success: True
x: array([ 85.66690455, 174.11450665, 137.20114074])
xopt: array([ 85., 174., 137.])
zopt: array([ 85., 259., 396.])
*******************************************
Period: 27
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-10.98283432, 24.61385663, 43.24017277]])
fopt: 0.7752613667913354
fun: -0.7747559480886268
message: 'Optimization terminated successfully.'
nfev: 357
nit: 6
status: 0
success: True
x: array([ 84.99793028, 99.00053911, 189.31866839])
xopt: array([ 85., 99., 189.])
zopt: array([ 85., 184., 373.])
*******************************************
Period: 28
direc: array([[-4.32148079e-01, 1.00000000e+00, 9.90000000e-01],
[-1.10939755e-02, 2.99356696e-03, 1.48181564e-03],
[-5.48322987e-09, -7.31999332e-02, 1.25613724e-08]])
fopt: 0.1758044684370195
fun: -0.17862625224538906
message: 'Optimization terminated successfully.'
nfev: 1499
nit: 13
status: 0
success: True
x: array([297.01932015, 27.01078682, 5.01415905])
xopt: array([297., 27., 5.])
zopt: array([297., 324., 329.])
*******************************************
Period: 29
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-32.05275348, 24.78424557, 51.70039224]])
fopt: 0.76041870725927
fun: -0.7600174862754099
message: 'Optimization terminated successfully.'
nfev: 555
nit: 9
status: 0
success: True
x: array([ 85.00003929, 99. , 200.20080291])
xopt: array([ 85., 99., 200.])
zopt: array([ 85., 184., 384.])
*******************************************
Period: 30
direc: array([[-3.13477714e+01, 2.37960434e+01, 4.21094037e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.06616195e-03, 9.71456027e-09, -0.00000000e+00]])
fopt: 0.7542136708273302
fun: -0.7523491127469969
message: 'Optimization terminated successfully.'
nfev: 561
nit: 8
status: 0
success: True
x: array([ 84.99921454, 102.000058 , 185.09079857])
xopt: array([ 85., 102., 186.])
zopt: array([ 85., 187., 373.])
*******************************************
Period: 31
direc: array([[-1.60831751e+01, 3.61803398e+00, 7.67314577e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.72121785e-02, 2.94126498e-02, -2.06282817e-03]])
fopt: 0.652638799321129
fun: -0.6523942611827482
message: 'Optimization terminated successfully.'
nfev: 444
nit: 6
status: 0
success: True
x: array([164.14883455, 20.00714978, 203. ])
xopt: array([164., 20., 203.])
zopt: array([164., 184., 387.])
*******************************************
Period: 32
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.54891126e+02, 0.00000000e+00, 1.64032330e+02],
[-0.00000000e+00, -4.02435126e-03, 1.04970965e-09]])
fopt: 0.6257718863360339
fun: -0.6226332395568818
message: 'Optimization terminated successfully.'
nfev: 808
nit: 9
status: 0
success: True
x: array([160.25903242, 8.0000042 , 186. ])
xopt: array([161., 9., 186.])
zopt: array([161., 170., 356.])
*******************************************
Period: 33
direc: array([[ 2.62685249e-04, 1.91896467e+01, 1.89974759e+01],
[-1.52169325e+02, 0.00000000e+00, 1.58929682e+02],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.6425600595273121
fun: -0.6418354944788712
message: 'Optimization terminated successfully.'
nfev: 745
nit: 9
status: 0
success: True
x: array([161.22272305, 23.126699 , 197.00000265])
xopt: array([161., 23., 197.])
zopt: array([161., 184., 381.])
*******************************************
Period: 34
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-5.04782086e+00, 0.00000000e+00, 6.00254783e+00],
[ 4.47266901e-03, -3.90798773e-02, -7.64579209e-03]])
fopt: 0.6222135328099702
fun: -0.6236264748643888
message: 'Optimization terminated successfully.'
nfev: 674
nit: 8
status: 0
success: True
x: array([171.07554342, 13.15170706, 187.0110665 ])
xopt: array([171., 13., 187.])
zopt: array([171., 184., 371.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.10145214, 0. , 2.01716083]])
fopt: 0.5613504734892105
fun: -0.5785628795092154
message: 'Optimization terminated successfully.'
nfev: 506
nit: 6
status: 0
success: True
x: array([198.50420787, -14.50409703, 232. ])
xopt: array([198., 0., 232.])
zopt: array([198., 198., 430.])
*******************************************
Period: 36
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-3.30485771e-09, -3.27633982e-02, -3.32121598e-02],
[ 2.32598900e-04, 1.03383271e-06, -2.29731446e-04]])
fopt: 0.6104370056531017
fun: -0.6066757822348398
message: 'Optimization terminated successfully.'
nfev: 639
nit: 7
status: 0
success: True
x: array([151.16790682, 32.58093104, 191. ])
xopt: array([151., 33., 191.])
zopt: array([151., 184., 375.])
*******************************************
Period: 37
direc: array([[-150.05314722, 0. , 150.05314345],
[ 0. , 1. , 0. ],
[ -7.09036862, 6.02152254, 17.04696952]])
fopt: 0.6061597358527425
fun: -0.6063088312348603
message: 'Optimization terminated successfully.'
nfev: 693
nit: 10
status: 0
success: True
x: array([153.09943179, 32.0004381 , 221.00791752])
xopt: array([153., 32., 221.])
zopt: array([153., 185., 406.])
*******************************************
Period: 38
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.60037371e+02, 0.00000000e+00, 1.43077898e+02],
[ 5.60550243e+00, 5.02104275e+00, -9.73127333e-02]])
fopt: 0.5888530151191707
fun: -0.5890638834029192
message: 'Optimization terminated successfully.'
nfev: 488
nit: 7
status: 0
success: True
x: array([175.45067029, 9.01909114, 211.00004187])
xopt: array([175., 9., 212.])
zopt: array([175., 184., 396.])
*******************************************
Period: 39
direc: array([[-1.78688832e-02, 0.00000000e+00, 1.00000000e+00],
[-1.53262492e+02, 0.00000000e+00, 1.52028223e+02],
[-3.74211456e-01, 2.10972256e+01, 2.10944755e+01]])
fopt: 0.59616607405032
fun: -0.5950831484586301
message: 'Optimization terminated successfully.'
nfev: 739
nit: 9
status: 0
success: True
x: array([144.64948034, 39.00812334, 219. ])
xopt: array([144., 40., 219.])
zopt: array([144., 184., 403.])
*******************************************
Period: 40
direc: array([[-6.28410425e-02, 0.00000000e+00, 1.00000000e+00],
[-1.46557256e+02, 0.00000000e+00, 1.41101850e+02],
[ 1.78268963e-04, 1.00000000e+00, -7.92778705e-04]])
fopt: 0.4910384751694521
fun: -0.49021512316697813
message: 'Optimization terminated successfully.'
nfev: 664
nit: 7
status: 0
success: True
x: array([175.3100368 , 5.00260909, 147.00001155])
xopt: array([176., 6., 148.])
zopt: array([176., 182., 330.])
*******************************************
Period: 41
direc: array([[-1.97329397, 0. , 1.16636134],
[ 0. , 1. , 0. ],
[ 1.53261869, 25.02362051, 93.34719383]])
fopt: 0.5769325436080999
fun: -0.576636447218818
message: 'Optimization terminated successfully.'
nfev: 564
nit: 7
status: 0
success: True
x: array([155.23921453, 31.00000699, 206.00000002])
xopt: array([155., 32., 207.])
zopt: array([155., 187., 394.])
*******************************************
Period: 42
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.00107624, -0. , -0. ]])
fopt: 0.17530549249005642
fun: -0.17530549248772137
message: 'Optimization terminated successfully.'
nfev: 396
nit: 4
status: 0
success: True
x: array([322.99999999, 2. , 3. ])
xopt: array([323., 2., 3.])
zopt: array([323., 325., 328.])
*******************************************
Period: 43
direc: array([[ 8.48515827e-03, 3.40164810e+01, 6.80263973e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.96019046e-02, -2.07440835e-02, -1.14319110e-02]])
fopt: 0.592895041249857
fun: -0.5918251627686409
message: 'Optimization terminated successfully.'
nfev: 1640
nit: 18
status: 0
success: True
x: array([113.69234353, 73. , 228.28360739])
xopt: array([113., 74., 228.])
zopt: array([113., 187., 415.])
*******************************************
Period: 44
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 4.24623830e-04, 0.00000000e+00, 1.99947357e+00],
[ 1.92689972e+00, 0.00000000e+00, -1.00890042e+00]])
fopt: 0.5414861978893373
fun: -0.54025441240319
message: 'Optimization terminated successfully.'
nfev: 726
nit: 10
status: 0
success: True
x: array([182.6454489 , 1.2321799 , 227.00288358])
xopt: array([182., 2., 227.])
zopt: array([182., 184., 411.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz1rjp2vv.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5kqea5d3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.39124
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.08463 0.39124
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084625924167e+00, best bound 1.084625924167e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5qjgdf4g.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp97zkycjg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.158855
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.822752e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.8227522 1.82275 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.82275 0.158855
Optimal solution found (tolerance 1.00e-02)
Best objective 1.822752246861e+00, best bound 1.822752246861e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9yvhr6p9.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr_k9o7jk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12332
Presolve removed 116 rows and 84 columns
Presolve time: 0.00s
Presolved: 29 rows, 25 columns, 94 nonzeros
Variable types: 11 continuous, 14 integer (11 binary)
Root relaxation: objective 1.354446e+00, 12 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.2743008 1.27430 0.00% - 0s
Explored 0 nodes (13 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.2743 1.12332
Optimal solution found (tolerance 1.00e-02)
Best objective 1.274300804019e+00, best bound 1.274300804019e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgny71sl7.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpymgo_r9w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.813617
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.506965e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50697 0 8 0.81362 1.50697 85.2% - 0s
H 0 0 1.3364171 1.50697 12.8% - 0s
0 0 1.40761 0 1 1.33642 1.40761 5.33% - 0s
0 0 cutoff 0 1.33642 1.33642 0.00% - 0s
Cutting planes:
Gomory: 4
Flow cover: 1
Flow path: 1
Explored 1 nodes (44 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33642 0.813617
Optimal solution found (tolerance 1.00e-02)
Best objective 1.336417087611e+00, best bound 1.336417087611e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb7ae2obh.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4rr4iggt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95368
Presolve removed 145 rows and 100 columns
Presolve time: 0.01s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 1.545115e+00, 51 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54511 0 3 0.95368 1.54511 62.0% - 0s
H 0 0 1.3137335 1.54511 17.6% - 0s
0 0 cutoff 0 1.31373 1.31373 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (69 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.31373 0.95368
Optimal solution found (tolerance 1.00e-02)
Best objective 1.313733536736e+00, best bound 1.313733536736e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8qcti819.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd53ahr37.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08729
Presolve removed 137 rows and 93 columns
Presolve time: 0.00s
Presolved: 146 rows, 115 columns, 516 nonzeros
Variable types: 57 continuous, 58 integer (52 binary)
Root relaxation: objective 1.384838e+00, 103 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28655 0 4 1.08729 1.28655 18.3% - 0s
0 0 1.18546 0 2 1.08729 1.18546 9.03% - 0s
0 0 1.18132 0 3 1.08729 1.18132 8.65% - 0s
0 0 1.14168 0 4 1.08729 1.14168 5.00% - 0s
0 0 1.14168 0 4 1.08729 1.14168 5.00% - 0s
0 0 1.14168 0 2 1.08729 1.14168 5.00% - 0s
0 0 cutoff 0 1.08729 1.08729 0.00% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
MIR: 1
Explored 1 nodes (180 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.08729
Optimal solution found (tolerance 1.00e-02)
Best objective 1.087285956813e+00, best bound 1.087285956813e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpknyh9fe6.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv6sn6roq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.85691
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 1.858188e+00, 147 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85819 0 13 0.85691 1.85819 117% - 0s
0 0 1.67841 0 18 0.85691 1.67841 95.9% - 0s
0 0 1.61992 0 9 0.85691 1.61992 89.0% - 0s
0 0 1.61346 0 6 0.85691 1.61346 88.3% - 0s
0 0 1.60102 0 6 0.85691 1.60102 86.8% - 0s
0 0 1.60012 0 6 0.85691 1.60012 86.7% - 0s
0 0 1.58894 0 9 0.85691 1.58894 85.4% - 0s
0 0 1.58894 0 10 0.85691 1.58894 85.4% - 0s
0 0 1.58890 0 10 0.85691 1.58890 85.4% - 0s
0 0 1.58890 0 10 0.85691 1.58890 85.4% - 0s
0 2 1.58890 0 10 0.85691 1.58890 85.4% - 0s
H 7 6 0.8632021 1.47225 70.6% 5.0 0s
H 15 5 1.1904944 1.47225 23.7% 4.9 0s
H 23 4 1.2410861 1.39053 12.0% 4.5 0s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 4
Flow cover: 12
Explored 28 nodes (384 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.24109 1.19049 0.863202 0.85691
Optimal solution found (tolerance 1.00e-02)
Best objective 1.241086131453e+00, best bound 1.241086131453e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc7yah1lv.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc_z6pk5h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.988526
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 1.836713e+00, 142 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83671 0 15 0.98853 1.83671 85.8% - 0s
0 0 1.63406 0 18 0.98853 1.63406 65.3% - 0s
0 0 1.62836 0 15 0.98853 1.62836 64.7% - 0s
0 0 1.59688 0 10 0.98853 1.59688 61.5% - 0s
0 0 1.59636 0 13 0.98853 1.59636 61.5% - 0s
0 0 1.59636 0 11 0.98853 1.59636 61.5% - 0s
H 0 0 1.2156932 1.59636 31.3% - 0s
0 2 1.59636 0 11 1.21569 1.59636 31.3% - 0s
Cutting planes:
Gomory: 7
Implied bound: 4
MIR: 1
Flow cover: 16
Network: 1
Explored 29 nodes (438 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.21569 0.988526
Optimal solution found (tolerance 1.00e-02)
Best objective 1.215693178972e+00, best bound 1.222282024955e+00, gap 0.5420%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7s7lyyuh.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp10gpim_6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02383
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 1.760515e+00, 158 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76051 0 17 1.02383 1.76051 72.0% - 0s
0 0 1.59598 0 20 1.02383 1.59598 55.9% - 0s
0 0 1.57010 0 24 1.02383 1.57010 53.4% - 0s
0 0 1.56504 0 21 1.02383 1.56504 52.9% - 0s
0 0 1.55316 0 21 1.02383 1.55316 51.7% - 0s
0 0 1.55242 0 21 1.02383 1.55242 51.6% - 0s
0 0 1.55242 0 21 1.02383 1.55242 51.6% - 0s
0 0 1.55207 0 22 1.02383 1.55207 51.6% - 0s
0 0 1.54934 0 24 1.02383 1.54934 51.3% - 0s
0 0 1.54691 0 24 1.02383 1.54691 51.1% - 0s
0 0 1.54602 0 23 1.02383 1.54602 51.0% - 0s
0 0 1.54528 0 24 1.02383 1.54528 50.9% - 0s
0 0 1.52784 0 24 1.02383 1.52784 49.2% - 0s
0 0 1.52784 0 24 1.02383 1.52784 49.2% - 0s
0 2 1.52784 0 24 1.02383 1.52784 49.2% - 0s
H 31 8 1.1192104 1.45140 29.7% 7.0 0s
* 37 3 8 1.1635105 1.33804 15.0% 6.5 0s
Cutting planes:
Gomory: 7
Implied bound: 6
MIR: 5
Flow cover: 17
Explored 45 nodes (590 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16351 1.11921 1.02383
Optimal solution found (tolerance 1.00e-02)
Best objective 1.163510474566e+00, best bound 1.163510474566e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaya6knld.pyomo.lp
Reading time = 0.01 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplymj_234.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.991149
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 1.743607e+00, 197 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74361 0 18 0.99115 1.74361 75.9% - 0s
0 0 1.59381 0 17 0.99115 1.59381 60.8% - 0s
0 0 1.57064 0 16 0.99115 1.57064 58.5% - 0s
0 0 1.56610 0 14 0.99115 1.56610 58.0% - 0s
0 0 1.54005 0 20 0.99115 1.54005 55.4% - 0s
0 0 1.53801 0 20 0.99115 1.53801 55.2% - 0s
0 0 1.53323 0 16 0.99115 1.53323 54.7% - 0s
0 0 1.53313 0 16 0.99115 1.53313 54.7% - 0s
0 0 1.51059 0 19 0.99115 1.51059 52.4% - 0s
0 0 1.51021 0 19 0.99115 1.51021 52.4% - 0s
0 0 1.50541 0 18 0.99115 1.50541 51.9% - 0s
0 0 1.50541 0 19 0.99115 1.50541 51.9% - 0s
0 0 1.50495 0 19 0.99115 1.50495 51.8% - 0s
0 0 1.50495 0 19 0.99115 1.50495 51.8% - 0s
0 0 1.50495 0 19 0.99115 1.50495 51.8% - 0s
0 0 1.50495 0 17 0.99115 1.50495 51.8% - 0s
0 2 1.50495 0 14 0.99115 1.50495 51.8% - 0s
* 121 8 15 1.0842196 1.19699 10.4% 5.1 0s
* 146 0 16 1.1210190 1.17778 5.06% 4.8 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 10
MIR: 3
Flow cover: 15
Explored 159 nodes (1121 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.12102 1.08422 0.991149
Optimal solution found (tolerance 1.00e-02)
Best objective 1.121019023931e+00, best bound 1.131697070308e+00, gap 0.9525%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmxncuoin.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpshu9_wg_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.984484
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 1.675441e+00, 225 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67544 0 21 0.98448 1.67544 70.2% - 0s
0 0 1.51553 0 22 0.98448 1.51553 53.9% - 0s
0 0 1.50402 0 19 0.98448 1.50402 52.8% - 0s
0 0 1.48925 0 28 0.98448 1.48925 51.3% - 0s
0 0 1.48925 0 27 0.98448 1.48925 51.3% - 0s
0 0 1.48925 0 28 0.98448 1.48925 51.3% - 0s
0 0 1.47494 0 30 0.98448 1.47494 49.8% - 0s
0 0 1.47437 0 32 0.98448 1.47437 49.8% - 0s
0 0 1.47437 0 30 0.98448 1.47437 49.8% - 0s
0 0 1.47437 0 30 0.98448 1.47437 49.8% - 0s
0 0 1.47437 0 30 0.98448 1.47437 49.8% - 0s
0 2 1.47437 0 30 0.98448 1.47437 49.8% - 0s
* 121 14 23 1.0390821 1.15820 11.5% 5.9 0s
* 137 13 19 1.0797871 1.15820 7.26% 6.0 0s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 8
MIR: 3
Flow cover: 24
Inf proof: 1
Explored 157 nodes (1282 simplex iterations) in 0.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07979 1.03908 0.984484
Optimal solution found (tolerance 1.00e-02)
Best objective 1.079787081231e+00, best bound 1.079787081231e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3vka9vxi.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptxfzn7dk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.936322
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 1.816680e+00, 273 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81668 0 23 0.93632 1.81668 94.0% - 0s
0 0 1.65989 0 29 0.93632 1.65989 77.3% - 0s
0 0 1.64930 0 24 0.93632 1.64930 76.1% - 0s
0 0 1.63119 0 31 0.93632 1.63119 74.2% - 0s
0 0 1.62747 0 33 0.93632 1.62747 73.8% - 0s
0 0 1.61411 0 38 0.93632 1.61411 72.4% - 0s
0 0 1.61356 0 35 0.93632 1.61356 72.3% - 0s
0 0 1.61334 0 37 0.93632 1.61334 72.3% - 0s
0 0 1.58432 0 42 0.93632 1.58432 69.2% - 0s
0 0 1.58413 0 42 0.93632 1.58413 69.2% - 0s
0 0 1.58360 0 43 0.93632 1.58360 69.1% - 0s
0 0 1.58360 0 43 0.93632 1.58360 69.1% - 0s
0 2 1.58360 0 33 0.93632 1.58360 69.1% - 0s
* 238 86 24 0.9606142 1.33336 38.8% 5.7 0s
* 284 87 26 0.9901261 1.31224 32.5% 5.6 0s
* 337 83 26 1.0461416 1.25371 19.8% 5.4 0s
* 357 58 29 1.1014117 1.25087 13.6% 5.3 0s
* 367 47 27 1.1244376 1.25087 11.2% 5.2 0s
* 368 45 27 1.1280005 1.25087 10.9% 5.2 0s
Cutting planes:
Gomory: 10
Cover: 4
Implied bound: 17
MIR: 9
Flow cover: 29
Inf proof: 3
Explored 538 nodes (3130 simplex iterations) in 0.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.128 1.12444 1.10141 ... 0.936322
Optimal solution found (tolerance 1.00e-02)
Best objective 1.128000495306e+00, best bound 1.128000495306e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcydlusxc.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp47mgr7fj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99971
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 1.769095e+00, 316 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76910 0 26 0.99971 1.76910 77.0% - 0s
0 0 1.61120 0 27 0.99971 1.61120 61.2% - 0s
0 0 1.61120 0 28 0.99971 1.61120 61.2% - 0s
0 0 1.58953 0 39 0.99971 1.58953 59.0% - 0s
0 0 1.58194 0 25 0.99971 1.58194 58.2% - 0s
0 0 1.56640 0 36 0.99971 1.56640 56.7% - 0s
0 0 1.56503 0 39 0.99971 1.56503 56.5% - 0s
0 0 1.55296 0 36 0.99971 1.55296 55.3% - 0s
0 0 1.55276 0 34 0.99971 1.55276 55.3% - 0s
0 0 1.55276 0 22 0.99971 1.55276 55.3% - 0s
0 2 1.55276 0 22 0.99971 1.55276 55.3% - 0s
* 369 49 27 1.0495496 1.18587 13.0% 5.8 0s
* 376 42 31 1.0592798 1.18587 12.0% 5.7 0s
* 438 6 29 1.0811985 1.14287 5.70% 5.6 0s
* 552 0 26 1.0914053 1.09244 0.09% 5.4 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 8
MIR: 5
Flow cover: 28
Inf proof: 5
Explored 553 nodes (3550 simplex iterations) in 0.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.09141 1.0812 1.05928 ... 0.99971
Optimal solution found (tolerance 1.00e-02)
Best objective 1.091405301974e+00, best bound 1.092437226588e+00, gap 0.0946%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq0mhid8q.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7usoyxfd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01211
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 1.642490e+00, 388 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64249 0 27 1.01211 1.64249 62.3% - 0s
0 0 1.49531 0 27 1.01211 1.49531 47.7% - 0s
0 0 1.49531 0 28 1.01211 1.49531 47.7% - 0s
0 0 1.47535 0 31 1.01211 1.47535 45.8% - 0s
0 0 1.47257 0 27 1.01211 1.47257 45.5% - 0s
0 0 1.44166 0 32 1.01211 1.44166 42.4% - 0s
0 0 1.44166 0 32 1.01211 1.44166 42.4% - 0s
0 0 1.44085 0 32 1.01211 1.44085 42.4% - 0s
0 0 1.44085 0 23 1.01211 1.44085 42.4% - 0s
0 2 1.44085 0 23 1.01211 1.44085 42.4% - 0s
Cutting planes:
Gomory: 6
Implied bound: 11
MIR: 8
Flow cover: 19
Inf proof: 1
Explored 417 nodes (3082 simplex iterations) in 0.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.01211
Optimal solution found (tolerance 1.00e-02)
Best objective 1.012112645433e+00, best bound 1.012112645433e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzod7yrqm.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjbko63q8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.919751
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.680398e+00, 353 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68040 0 31 0.91975 1.68040 82.7% - 0s
0 0 1.53209 0 35 0.91975 1.53209 66.6% - 0s
0 0 1.53209 0 35 0.91975 1.53209 66.6% - 0s
0 0 1.51169 0 30 0.91975 1.51169 64.4% - 0s
0 0 1.50908 0 27 0.91975 1.50908 64.1% - 0s
0 0 1.48040 0 32 0.91975 1.48040 61.0% - 0s
0 0 1.47938 0 32 0.91975 1.47938 60.8% - 0s
0 0 1.47938 0 30 0.91975 1.47938 60.8% - 0s
0 2 1.47938 0 30 0.91975 1.47938 60.8% - 0s
* 854 203 42 0.9427520 1.17254 24.4% 5.5 0s
* 878 147 39 0.9995597 1.17232 17.3% 5.5 0s
* 1072 167 37 0.9996809 1.16226 16.3% 5.2 0s
* 1586 181 42 1.0072174 1.13433 12.6% 4.9 0s
* 1640 147 33 1.0133779 1.13433 11.9% 4.9 0s
* 1700 119 31 1.0286241 1.09130 6.09% 4.9 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 13
MIR: 8
Flow cover: 28
Inf proof: 34
Explored 1887 nodes (9700 simplex iterations) in 0.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.02862 1.01338 1.00722 ... 0.919751
Optimal solution found (tolerance 1.00e-02)
Best objective 1.028624092070e+00, best bound 1.028624092070e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu7s1gcxv.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkx7crd5l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920196
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.682951e+00, 338 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68295 0 31 0.92020 1.68295 82.9% - 0s
0 0 1.53316 0 29 0.92020 1.53316 66.6% - 0s
0 0 1.53316 0 29 0.92020 1.53316 66.6% - 0s
0 0 1.50727 0 25 0.92020 1.50727 63.8% - 0s
0 0 1.50642 0 23 0.92020 1.50642 63.7% - 0s
0 0 1.49784 0 32 0.92020 1.49784 62.8% - 0s
0 0 1.48172 0 32 0.92020 1.48172 61.0% - 0s
0 0 1.47963 0 37 0.92020 1.47963 60.8% - 0s
0 0 1.47956 0 36 0.92020 1.47956 60.8% - 0s
0 0 1.47956 0 33 0.92020 1.47956 60.8% - 0s
0 2 1.47956 0 31 0.92020 1.47956 60.8% - 0s
* 719 132 45 0.9299354 1.17127 26.0% 6.7 0s
* 722 131 44 0.9353542 1.17127 25.2% 6.6 0s
* 898 101 42 0.9891950 1.12513 13.7% 6.5 0s
* 900 90 41 1.0044019 1.12513 12.0% 6.5 0s
Cutting planes:
Gomory: 8
Cover: 3
Implied bound: 19
MIR: 11
Flow cover: 30
Flow path: 1
Inf proof: 13
Network: 1
Explored 1273 nodes (8677 simplex iterations) in 0.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.0044 0.989195 0.935354 ... 0.920196
Optimal solution found (tolerance 1.00e-02)
Best objective 1.004401902318e+00, best bound 1.004401902318e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqtc_6no4.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3azyql9m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.91197
Presolve removed 286 rows and 181 columns
Presolve time: 0.02s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.663151e+00, 422 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66315 0 36 0.91197 1.66315 82.4% - 0s
0 0 1.50970 0 33 0.91197 1.50970 65.5% - 0s
0 0 1.50703 0 32 0.91197 1.50703 65.3% - 0s
0 0 1.48952 0 45 0.91197 1.48952 63.3% - 0s
0 0 1.48377 0 39 0.91197 1.48377 62.7% - 0s
0 0 1.47676 0 50 0.91197 1.47676 61.9% - 0s
0 0 1.47465 0 44 0.91197 1.47465 61.7% - 0s
0 0 1.47452 0 46 0.91197 1.47452 61.7% - 0s
0 0 1.44918 0 42 0.91197 1.44918 58.9% - 0s
0 0 1.44917 0 43 0.91197 1.44917 58.9% - 0s
0 0 1.44452 0 49 0.91197 1.44452 58.4% - 0s
0 0 1.44436 0 49 0.91197 1.44436 58.4% - 0s
0 0 1.44436 0 46 0.91197 1.44436 58.4% - 0s
0 0 1.43984 0 45 0.91197 1.43984 57.9% - 0s
0 0 1.43984 0 48 0.91197 1.43984 57.9% - 0s
0 0 1.43952 0 48 0.91197 1.43952 57.8% - 0s
0 0 1.43952 0 48 0.91197 1.43952 57.8% - 0s
0 2 1.43952 0 35 0.91197 1.43952 57.8% - 0s
* 315 130 56 0.9449245 1.27226 34.6% 8.2 0s
* 1071 270 44 0.9849812 1.18129 19.9% 6.2 0s
Cutting planes:
Gomory: 11
Cover: 5
Implied bound: 23
MIR: 16
Flow cover: 46
Inf proof: 14
Explored 1589 nodes (10978 simplex iterations) in 1.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.984981 0.944924 0.91197
Optimal solution found (tolerance 1.00e-02)
Best objective 9.849811964708e-01, best bound 9.849811964708e-01, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp069krdep.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvzzbohyo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.885843
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.667412e+00, 454 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66741 0 37 0.88584 1.66741 88.2% - 0s
0 0 1.52920 0 40 0.88584 1.52920 72.6% - 0s
0 0 1.52685 0 40 0.88584 1.52685 72.4% - 0s
0 0 1.50153 0 43 0.88584 1.50153 69.5% - 0s
0 0 1.50071 0 41 0.88584 1.50071 69.4% - 0s
0 0 1.49316 0 43 0.88584 1.49316 68.6% - 0s
0 0 1.49252 0 44 0.88584 1.49252 68.5% - 0s
0 0 1.49225 0 46 0.88584 1.49225 68.5% - 0s
0 0 1.49210 0 43 0.88584 1.49210 68.4% - 0s
0 0 1.47151 0 54 0.88584 1.47151 66.1% - 0s
0 0 1.46949 0 49 0.88584 1.46949 65.9% - 0s
0 0 1.46908 0 53 0.88584 1.46908 65.8% - 0s
0 0 1.46826 0 55 0.88584 1.46826 65.7% - 0s
0 0 1.46323 0 54 0.88584 1.46323 65.2% - 0s
0 0 1.46323 0 54 0.88584 1.46323 65.2% - 0s
0 0 1.46323 0 54 0.88584 1.46323 65.2% - 0s
0 2 1.46323 0 47 0.88584 1.46323 65.2% - 0s
* 769 254 52 0.8874554 1.13145 27.5% 7.9 0s
* 1139 297 48 0.8962763 1.06018 18.3% 7.4 0s
H 1647 181 0.9199302 1.00639 9.40% 6.9 1s
* 1712 159 49 0.9211516 1.00394 8.99% 6.8 1s
* 1805 136 49 0.9219985 0.99435 7.85% 6.7 1s
* 1841 80 49 0.9450008 0.99435 5.22% 6.6 1s
* 1877 46 49 0.9462320 0.97862 3.42% 6.6 1s
Cutting planes:
Gomory: 14
Cover: 7
Implied bound: 21
MIR: 18
Flow cover: 50
Flow path: 1
Inf proof: 19
Explored 2006 nodes (13669 simplex iterations) in 1.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.946232 0.945001 0.921999 ... 0.885843
Optimal solution found (tolerance 1.00e-02)
Best objective 9.462319986695e-01, best bound 9.462319986695e-01, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp2pc0kbo.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdtw5_zuz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.863325
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.650926e+00, 485 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65093 0 39 0.86332 1.65093 91.2% - 0s
0 0 1.50559 0 45 0.86332 1.50559 74.4% - 0s
0 0 1.50559 0 43 0.86332 1.50559 74.4% - 0s
0 0 1.47748 0 48 0.86332 1.47748 71.1% - 0s
0 0 1.47219 0 50 0.86332 1.47219 70.5% - 0s
0 0 1.47214 0 51 0.86332 1.47214 70.5% - 0s
0 0 1.46314 0 49 0.86332 1.46314 69.5% - 0s
0 0 1.46291 0 52 0.86332 1.46291 69.5% - 0s
0 0 1.46287 0 49 0.86332 1.46287 69.4% - 0s
0 0 1.45050 0 59 0.86332 1.45050 68.0% - 0s
0 0 1.44492 0 65 0.86332 1.44492 67.4% - 0s
0 0 1.44483 0 68 0.86332 1.44483 67.4% - 0s
0 0 1.44173 0 67 0.86332 1.44173 67.0% - 0s
0 0 1.44133 0 68 0.86332 1.44133 67.0% - 0s
0 0 1.44133 0 69 0.86332 1.44133 67.0% - 0s
0 0 1.44010 0 73 0.86332 1.44010 66.8% - 0s
0 0 1.44009 0 73 0.86332 1.44009 66.8% - 0s
0 0 1.44009 0 75 0.86332 1.44009 66.8% - 0s
0 0 1.44009 0 62 0.86332 1.44009 66.8% - 0s
0 2 1.44009 0 62 0.86332 1.44009 66.8% - 0s
* 729 280 74 0.9224033 1.14181 23.8% 9.0 0s
* 1590 83 56 0.9251579 1.01691 9.92% 9.7 2s
* 1674 56 63 0.9265232 1.00217 8.16% 9.6 2s
* 1735 7 62 0.9277532 0.98512 6.18% 9.5 2s
Cutting planes:
Gomory: 23
Cover: 2
Implied bound: 7
Projected implied bound: 15
MIR: 14
Flow cover: 37
Inf proof: 7
Network: 1
Explored 1840 nodes (18328 simplex iterations) in 2.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.927753 0.926523 0.925158 ... 0.863325
Optimal solution found (tolerance 1.00e-02)
Best objective 9.277531671385e-01, best bound 9.277531671385e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzgf1zlkt.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb4gjwafn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869812
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.567741e+00, 499 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56774 0 39 0.86981 1.56774 80.2% - 0s
0 0 1.42109 0 50 0.86981 1.42109 63.4% - 0s
0 0 1.42109 0 48 0.86981 1.42109 63.4% - 0s
0 0 1.39952 0 48 0.86981 1.39952 60.9% - 0s
0 0 1.39890 0 49 0.86981 1.39890 60.8% - 0s
0 0 1.39884 0 51 0.86981 1.39884 60.8% - 0s
0 0 1.38539 0 47 0.86981 1.38539 59.3% - 0s
0 0 1.38529 0 50 0.86981 1.38529 59.3% - 0s
0 0 1.36925 0 61 0.86981 1.36925 57.4% - 0s
0 0 1.36884 0 64 0.86981 1.36884 57.4% - 0s
0 0 1.36884 0 64 0.86981 1.36884 57.4% - 0s
0 0 1.35733 0 66 0.86981 1.35733 56.0% - 0s
0 0 1.35567 0 68 0.86981 1.35567 55.9% - 0s
0 0 1.35318 0 66 0.86981 1.35318 55.6% - 0s
0 0 1.35318 0 67 0.86981 1.35318 55.6% - 0s
0 0 1.35018 0 66 0.86981 1.35018 55.2% - 0s
0 0 1.35018 0 66 0.86981 1.35018 55.2% - 0s
0 0 1.34988 0 65 0.86981 1.34988 55.2% - 0s
0 0 1.34988 0 65 0.86981 1.34988 55.2% - 0s
0 2 1.34988 0 65 0.86981 1.34988 55.2% - 0s
* 1998 19 47 0.8700811 0.89130 2.44% 7.3 1s
* 2000 19 47 0.8708910 0.89130 2.34% 7.3 1s
Cutting planes:
Gomory: 12
Cover: 4
Implied bound: 21
MIR: 16
Flow cover: 53
Inf proof: 20
Explored 2063 nodes (15988 simplex iterations) in 1.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.870891 0.870081 0.869812
Optimal solution found (tolerance 1.00e-02)
Best objective 8.708909555448e-01, best bound 8.708909555448e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpomp9wxnm.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi6bdy4uk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812318
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.540920e+00, 551 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54092 0 43 0.81232 1.54092 89.7% - 0s
0 0 1.38754 0 50 0.81232 1.38754 70.8% - 0s
0 0 1.38754 0 50 0.81232 1.38754 70.8% - 0s
0 0 1.37086 0 53 0.81232 1.37086 68.8% - 0s
0 0 1.36857 0 51 0.81232 1.36857 68.5% - 0s
0 0 1.36857 0 52 0.81232 1.36857 68.5% - 0s
0 0 1.35214 0 51 0.81232 1.35214 66.5% - 0s
0 0 1.35208 0 47 0.81232 1.35208 66.4% - 0s
0 0 1.33674 0 61 0.81232 1.33674 64.6% - 0s
0 0 1.33032 0 62 0.81232 1.33032 63.8% - 0s
0 0 1.32985 0 63 0.81232 1.32985 63.7% - 0s
0 0 1.31641 0 57 0.81232 1.31641 62.1% - 0s
0 0 1.31641 0 62 0.81232 1.31641 62.1% - 0s
0 0 1.31641 0 60 0.81232 1.31641 62.1% - 0s
0 0 1.31641 0 51 0.81232 1.31641 62.1% - 0s
0 2 1.31641 0 51 0.81232 1.31641 62.1% - 0s
* 2899 416 58 0.8363443 0.90674 8.42% 6.4 1s
Cutting planes:
Gomory: 15
Cover: 13
Implied bound: 43
MIR: 18
Flow cover: 56
Flow path: 1
Inf proof: 63
Explored 4366 nodes (26648 simplex iterations) in 2.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.836344 0.812318
Optimal solution found (tolerance 1.00e-02)
Best objective 8.363443001354e-01, best bound 8.428175076047e-01, gap 0.7740%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpux3zsogw.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpezmeznk3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.821912
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.523942e+00, 584 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52394 0 48 0.82191 1.52394 85.4% - 0s
0 0 1.38262 0 48 0.82191 1.38262 68.2% - 0s
0 0 1.38262 0 46 0.82191 1.38262 68.2% - 0s
0 0 1.35066 0 53 0.82191 1.35066 64.3% - 0s
0 0 1.34544 0 48 0.82191 1.34544 63.7% - 0s
0 0 1.34537 0 50 0.82191 1.34537 63.7% - 0s
0 0 1.33242 0 65 0.82191 1.33242 62.1% - 0s
0 0 1.32974 0 65 0.82191 1.32974 61.8% - 0s
0 0 1.32971 0 63 0.82191 1.32971 61.8% - 0s
0 0 1.30308 0 69 0.82191 1.30308 58.5% - 0s
0 0 1.30158 0 67 0.82191 1.30158 58.4% - 0s
0 0 1.30144 0 69 0.82191 1.30144 58.3% - 0s
0 0 1.29850 0 75 0.82191 1.29850 58.0% - 0s
0 0 1.29764 0 73 0.82191 1.29764 57.9% - 0s
0 0 1.29751 0 75 0.82191 1.29751 57.9% - 0s
0 0 1.29751 0 60 0.82191 1.29751 57.9% - 0s
0 2 1.29751 0 58 0.82191 1.29751 57.9% - 0s
H 2006 644 0.8259618 1.02635 24.3% 12.0 3s
* 3053 227 79 0.8268328 0.91573 10.8% 11.8 4s
* 3252 160 73 0.8270538 0.89661 8.41% 11.4 4s
* 3347 144 59 0.8320712 0.88244 6.05% 11.3 4s
* 3424 112 73 0.8322670 0.87923 5.64% 11.1 4s
* 3633 67 71 0.8331334 0.86905 4.31% 10.8 4s
Cutting planes:
Learned: 2
Gomory: 26
Cover: 4
Implied bound: 16
Projected implied bound: 20
Clique: 1
MIR: 21
Flow cover: 60
Inf proof: 26
Network: 1
Explored 3773 nodes (41369 simplex iterations) in 4.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.833133 0.832267 0.832071 ... 0.821912
Optimal solution found (tolerance 1.00e-02)
Best objective 8.331334467076e-01, best bound 8.411509413865e-01, gap 0.9623%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4g47m_yc.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpde1pzdci.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.817095
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.488687e+00, 589 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48869 0 51 0.81710 1.48869 82.2% - 0s
0 0 1.44856 0 62 0.81710 1.44856 77.3% - 0s
0 0 1.42985 0 64 0.81710 1.42985 75.0% - 0s
0 0 1.42967 0 65 0.81710 1.42967 75.0% - 0s
0 0 1.42846 0 69 0.81710 1.42846 74.8% - 0s
0 0 1.42841 0 71 0.81710 1.42841 74.8% - 0s
0 0 1.40664 0 78 0.81710 1.40664 72.2% - 0s
0 0 1.40664 0 79 0.81710 1.40664 72.2% - 0s
0 0 1.40658 0 79 0.81710 1.40658 72.1% - 0s
0 0 1.40638 0 81 0.81710 1.40638 72.1% - 0s
0 0 1.40638 0 66 0.81710 1.40638 72.1% - 0s
0 2 1.40638 0 66 0.81710 1.40638 72.1% - 0s
* 2330 480 76 0.8171676 1.02932 26.0% 8.9 2s
H 3053 201 0.8171676 0.96785 18.4% 8.6 3s
Cutting planes:
Gomory: 1
Cover: 2
Implied bound: 3
MIR: 1
Flow cover: 16
Flow path: 1
Inf proof: 6
Explored 3961 nodes (32536 simplex iterations) in 3.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.817168 0.817168 0.817095
Optimal solution found (tolerance 1.00e-02)
Best objective 8.171675787691e-01, best bound 8.171675787691e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpreyz920f.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9j66gism.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.782856
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.438257e+00, 600 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43826 0 53 0.78286 1.43826 83.7% - 0s
0 0 1.40334 0 56 0.78286 1.40334 79.3% - 0s
0 0 1.40334 0 56 0.78286 1.40334 79.3% - 0s
0 0 1.37871 0 55 0.78286 1.37871 76.1% - 0s
0 0 1.35416 0 53 0.78286 1.35416 73.0% - 0s
0 0 1.35332 0 58 0.78286 1.35332 72.9% - 0s
0 0 1.35281 0 59 0.78286 1.35281 72.8% - 0s
0 0 1.35001 0 64 0.78286 1.35001 72.4% - 0s
0 0 1.34959 0 59 0.78286 1.34959 72.4% - 0s
0 0 1.33337 0 72 0.78286 1.33337 70.3% - 0s
0 0 1.33281 0 72 0.78286 1.33281 70.2% - 0s
0 0 1.32962 0 65 0.78286 1.32962 69.8% - 0s
0 0 1.32935 0 65 0.78286 1.32935 69.8% - 0s
0 0 1.32926 0 65 0.78286 1.32926 69.8% - 0s
0 0 1.32926 0 65 0.78286 1.32926 69.8% - 0s
0 0 1.32921 0 65 0.78286 1.32921 69.8% - 0s
0 0 1.32921 0 56 0.78286 1.32921 69.8% - 0s
0 2 1.32921 0 56 0.78286 1.32921 69.8% - 0s
Cutting planes:
Learned: 1
Explored 3224 nodes (27035 simplex iterations) in 3.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.782856
Optimal solution found (tolerance 1.00e-02)
Best objective 7.828562368653e-01, best bound 7.828562368653e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp55sc43dm.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpajwq8bmb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.799013
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.539520e+00, 609 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53952 0 51 0.79901 1.53952 92.7% - 0s
0 0 1.45303 0 62 0.79901 1.45303 81.9% - 0s
0 0 1.43662 0 55 0.79901 1.43662 79.8% - 0s
0 0 1.41031 0 69 0.79901 1.41031 76.5% - 0s
0 0 1.39832 0 63 0.79901 1.39832 75.0% - 0s
0 0 1.37777 0 67 0.79901 1.37777 72.4% - 0s
0 0 1.37658 0 62 0.79901 1.37658 72.3% - 0s
0 0 1.37483 0 72 0.79901 1.37483 72.1% - 0s
0 0 1.37465 0 74 0.79901 1.37465 72.0% - 0s
0 0 1.37249 0 68 0.79901 1.37249 71.8% - 0s
0 0 1.37227 0 66 0.79901 1.37227 71.7% - 0s
0 0 1.37225 0 65 0.79901 1.37225 71.7% - 0s
0 0 1.37225 0 53 0.79901 1.37225 71.7% - 0s
0 2 1.34830 0 65 0.79901 1.34830 68.7% - 0s
4658 72 0.82080 51 20 0.79901 0.82100 2.75% 10.0 5s
Cutting planes:
Gomory: 29
Cover: 4
Implied bound: 15
Projected implied bound: 26
MIR: 13
Flow cover: 56
Flow path: 3
Inf proof: 57
Explored 4855 nodes (48619 simplex iterations) in 5.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.799013
Optimal solution found (tolerance 1.00e-02)
Best objective 7.990131927850e-01, best bound 8.059476713313e-01, gap 0.8679%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppq2n104j.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpag5e7ftw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.795007
Presolve removed 403 rows and 253 columns
Presolve time: 0.03s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.572574e+00, 668 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57257 0 45 0.79501 1.57257 97.8% - 0s
0 0 1.52830 0 53 0.79501 1.52830 92.2% - 0s
0 0 1.52660 0 47 0.79501 1.52660 92.0% - 0s
0 0 1.45529 0 65 0.79501 1.45529 83.1% - 0s
0 0 1.45514 0 66 0.79501 1.45514 83.0% - 0s
0 0 1.44723 0 68 0.79501 1.44723 82.0% - 0s
0 0 1.44722 0 69 0.79501 1.44722 82.0% - 0s
0 0 1.42482 0 71 0.79501 1.42482 79.2% - 0s
0 0 1.42447 0 77 0.79501 1.42447 79.2% - 0s
0 0 1.41947 0 79 0.79501 1.41947 78.5% - 0s
0 0 1.41946 0 83 0.79501 1.41946 78.5% - 0s
0 0 1.41805 0 82 0.79501 1.41805 78.4% - 0s
0 0 1.41790 0 84 0.79501 1.41790 78.4% - 0s
0 0 1.41741 0 81 0.79501 1.41741 78.3% - 0s
0 0 1.41721 0 88 0.79501 1.41721 78.3% - 0s
0 0 1.41721 0 88 0.79501 1.41721 78.3% - 0s
0 0 1.41721 0 88 0.79501 1.41721 78.3% - 0s
0 2 1.41721 0 74 0.79501 1.41721 78.3% - 0s
* 422 237 99 0.8070031 1.23161 52.6% 11.5 0s
Explored 4970 nodes (42793 simplex iterations) in 4.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.807003 0.795007
Optimal solution found (tolerance 1.00e-02)
Best objective 8.070030821498e-01, best bound 8.070030821498e-01, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0qs9m5if.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5_83t2oo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.778027
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.517352e+00, 647 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51735 0 48 0.77803 1.51735 95.0% - 0s
0 0 1.46628 0 63 0.77803 1.46628 88.5% - 0s
0 0 1.46418 0 59 0.77803 1.46418 88.2% - 0s
0 0 1.45527 0 67 0.77803 1.45527 87.0% - 0s
0 0 1.45285 0 68 0.77803 1.45285 86.7% - 0s
0 0 1.44841 0 72 0.77803 1.44841 86.2% - 0s
0 0 1.44774 0 72 0.77803 1.44774 86.1% - 0s
0 0 1.42296 0 79 0.77803 1.42296 82.9% - 0s
0 0 1.42296 0 82 0.77803 1.42296 82.9% - 0s
0 0 1.42133 0 84 0.77803 1.42133 82.7% - 0s
0 0 1.42070 0 79 0.77803 1.42070 82.6% - 0s
0 0 1.42070 0 83 0.77803 1.42070 82.6% - 0s
0 0 1.42070 0 83 0.77803 1.42070 82.6% - 0s
0 0 1.41999 0 86 0.77803 1.41999 82.5% - 0s
0 0 1.41354 0 94 0.77803 1.41354 81.7% - 0s
0 0 1.41116 0 93 0.77803 1.41116 81.4% - 0s
0 0 1.40833 0 93 0.77803 1.40833 81.0% - 0s
0 0 1.40682 0 93 0.77803 1.40682 80.8% - 0s
0 0 1.40673 0 94 0.77803 1.40673 80.8% - 0s
0 0 1.40673 0 95 0.77803 1.40673 80.8% - 0s
0 0 1.40668 0 94 0.77803 1.40668 80.8% - 0s
0 0 1.40668 0 75 0.77803 1.40668 80.8% - 0s
0 2 1.40668 0 75 0.77803 1.40668 80.8% - 0s
5331 651 cutoff 38 0.77803 0.85851 10.3% 8.1 5s
Cutting planes:
Learned: 3
Gomory: 2
Implied bound: 4
MIR: 3
Flow cover: 16
Flow path: 1
Inf proof: 3
Explored 6637 nodes (51848 simplex iterations) in 6.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.778027
Optimal solution found (tolerance 1.00e-02)
Best objective 7.780274181011e-01, best bound 7.780274181011e-01, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkqbp2egu.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfjhx0wie.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.764799
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.477637e+00, 684 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47764 0 53 0.76480 1.47764 93.2% - 0s
0 0 1.43137 0 61 0.76480 1.43137 87.2% - 0s
0 0 1.42947 0 55 0.76480 1.42947 86.9% - 0s
0 0 1.41319 0 65 0.76480 1.41319 84.8% - 0s
0 0 1.41144 0 66 0.76480 1.41144 84.6% - 0s
0 0 1.40055 0 75 0.76480 1.40055 83.1% - 0s
0 0 1.40055 0 74 0.76480 1.40055 83.1% - 0s
0 0 1.38221 0 74 0.76480 1.38221 80.7% - 0s
0 0 1.38186 0 80 0.76480 1.38186 80.7% - 0s
0 0 1.37937 0 83 0.76480 1.37937 80.4% - 0s
0 0 1.37937 0 83 0.76480 1.37937 80.4% - 0s
0 0 1.37937 0 83 0.76480 1.37937 80.4% - 0s
0 0 1.37937 0 69 0.76480 1.37937 80.4% - 0s
0 2 1.37937 0 69 0.76480 1.37937 80.4% - 0s
1461 600 1.06386 15 60 0.76480 1.06386 39.1% 11.6 569s
1857 620 0.88679 36 60 0.76480 1.06386 39.1% 11.3 570s
Cutting planes:
Learned: 3
Gomory: 4
Cover: 1
Implied bound: 8
MIR: 4
Flow cover: 15
Flow path: 1
Inf proof: 9
Explored 5770 nodes (46714 simplex iterations) in 572.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.764799
Optimal solution found (tolerance 1.00e-02)
Best objective 7.647988769753e-01, best bound 7.647988769753e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphlig4jy5.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb77ysgpj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.763792
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.504994e+00, 721 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50499 0 55 0.76379 1.50499 97.0% - 0s
0 0 1.47988 0 65 0.76379 1.47988 93.8% - 0s
0 0 1.47908 0 64 0.76379 1.47908 93.6% - 0s
0 0 1.45137 0 61 0.76379 1.45137 90.0% - 0s
0 0 1.45126 0 61 0.76379 1.45126 90.0% - 0s
0 0 1.43794 0 74 0.76379 1.43794 88.3% - 0s
0 0 1.43642 0 72 0.76379 1.43642 88.1% - 0s
0 0 1.43377 0 84 0.76379 1.43377 87.7% - 0s
0 0 1.43359 0 84 0.76379 1.43359 87.7% - 0s
0 0 1.43260 0 79 0.76379 1.43260 87.6% - 0s
0 0 1.43237 0 79 0.76379 1.43237 87.5% - 0s
0 0 1.43237 0 82 0.76379 1.43237 87.5% - 0s
0 0 1.43237 0 57 0.76379 1.43237 87.5% - 0s
0 2 1.43237 0 56 0.76379 1.43237 87.5% - 0s
5534 882 0.77989 41 35 0.76379 0.87940 15.1% 9.1 5s
H 5569 888 0.7641033 0.87940 15.1% 9.1 5s
H 5584 890 0.7641033 0.87940 15.1% 9.1 5s
Cutting planes:
Learned: 1
Gomory: 4
Implied bound: 6
MIR: 9
Flow cover: 16
Flow path: 2
Inf proof: 5
Explored 7936 nodes (66399 simplex iterations) in 6.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.764103 0.764103 0.763792
Optimal solution found (tolerance 1.00e-02)
Best objective 7.641033325438e-01, best bound 7.641033325438e-01, gap 0.0000%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp63ruqf2l.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo82pmqii.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.754214
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.477523e+00, 731 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47752 0 57 0.75421 1.47752 95.9% - 0s
0 0 1.42942 0 63 0.75421 1.42942 89.5% - 0s
0 0 1.42733 0 60 0.75421 1.42733 89.2% - 0s
0 0 1.40312 0 69 0.75421 1.40312 86.0% - 0s
0 0 1.40120 0 67 0.75421 1.40120 85.8% - 0s
0 0 1.39361 0 85 0.75421 1.39361 84.8% - 0s
0 0 1.38907 0 84 0.75421 1.38907 84.2% - 0s
0 0 1.36788 0 94 0.75421 1.36788 81.4% - 0s
0 0 1.36784 0 94 0.75421 1.36784 81.4% - 0s
0 0 1.36600 0 95 0.75421 1.36600 81.1% - 0s
0 0 1.36481 0 102 0.75421 1.36481 81.0% - 0s
0 0 1.36258 0 101 0.75421 1.36258 80.7% - 0s
0 0 1.36255 0 101 0.75421 1.36255 80.7% - 0s
0 0 1.35440 0 98 0.75421 1.35440 79.6% - 0s
0 0 1.35147 0 93 0.75421 1.35147 79.2% - 0s
0 0 1.35001 0 103 0.75421 1.35001 79.0% - 0s
0 0 1.35001 0 106 0.75421 1.35001 79.0% - 0s
0 0 1.34544 0 98 0.75421 1.34544 78.4% - 0s
0 0 1.34482 0 101 0.75421 1.34482 78.3% - 0s
0 0 1.34460 0 104 0.75421 1.34460 78.3% - 0s
0 0 1.34457 0 104 0.75421 1.34457 78.3% - 0s
0 0 1.34457 0 85 0.75421 1.34457 78.3% - 0s
0 2 1.34457 0 85 0.75421 1.34457 78.3% - 0s
2926 869 0.83202 52 55 0.75421 1.05131 39.4% 16.6 5s
Cutting planes:
Gomory: 26
Implied bound: 24
Projected implied bound: 30
MIR: 22
Flow cover: 85
Flow path: 2
Inf proof: 78
Explored 8763 nodes (101508 simplex iterations) in 8.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.754214
Optimal solution found (tolerance 1.00e-02)
Best objective 7.542136708273e-01, best bound 7.611555200034e-01, gap 0.9204%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmponw930kx.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0s60zwg3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.74161
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.439644e+00, 829 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43964 0 60 0.74161 1.43964 94.1% - 0s
0 0 1.39011 0 63 0.74161 1.39011 87.4% - 0s
0 0 1.38843 0 62 0.74161 1.38843 87.2% - 0s
0 0 1.34506 0 76 0.74161 1.34506 81.4% - 0s
0 0 1.34332 0 77 0.74161 1.34332 81.1% - 0s
0 0 1.34120 0 81 0.74161 1.34120 80.8% - 0s
0 0 1.34064 0 83 0.74161 1.34064 80.8% - 0s
0 0 1.32300 0 93 0.74161 1.32300 78.4% - 0s
0 0 1.32014 0 86 0.74161 1.32014 78.0% - 0s
0 0 1.31715 0 90 0.74161 1.31715 77.6% - 0s
0 0 1.31636 0 91 0.74161 1.31636 77.5% - 0s
0 0 1.31437 0 89 0.74161 1.31437 77.2% - 0s
0 0 1.31437 0 89 0.74161 1.31437 77.2% - 0s
0 0 1.31437 0 92 0.74161 1.31437 77.2% - 0s
0 0 1.31437 0 92 0.74161 1.31437 77.2% - 0s
0 0 1.31437 0 92 0.74161 1.31437 77.2% - 0s
0 0 1.31437 0 79 0.74161 1.31437 77.2% - 0s
0 2 1.31437 0 77 0.74161 1.31437 77.2% - 0s
3426 835 0.81223 43 56 0.74161 0.97318 31.2% 16.9 5s
Cutting planes:
Gomory: 18
Cover: 4
Implied bound: 26
Projected implied bound: 49
Clique: 1
MIR: 37
Flow cover: 99
Flow path: 4
Inf proof: 71
Explored 7351 nodes (93281 simplex iterations) in 7.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.74161
Optimal solution found (tolerance 1.00e-02)
Best objective 7.416096103608e-01, best bound 7.416096103608e-01, gap 0.0000%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkmtob3g3.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv23qt3vj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.731897
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.427110e+00, 835 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42711 0 60 0.73190 1.42711 95.0% - 0s
0 0 1.38556 0 60 0.73190 1.38556 89.3% - 0s
0 0 1.38258 0 58 0.73190 1.38258 88.9% - 0s
0 0 1.35332 0 79 0.73190 1.35332 84.9% - 0s
0 0 1.34837 0 80 0.73190 1.34837 84.2% - 0s
0 0 1.33527 0 89 0.73190 1.33527 82.4% - 0s
0 0 1.33362 0 91 0.73190 1.33362 82.2% - 0s
0 0 1.33009 0 100 0.73190 1.33009 81.7% - 0s
0 0 1.32995 0 101 0.73190 1.32995 81.7% - 0s
0 0 1.32804 0 98 0.73190 1.32804 81.5% - 0s
0 0 1.32796 0 98 0.73190 1.32796 81.4% - 0s
0 0 1.32779 0 101 0.73190 1.32779 81.4% - 0s
0 0 1.32779 0 101 0.73190 1.32779 81.4% - 0s
0 0 1.32765 0 103 0.73190 1.32765 81.4% - 0s
0 0 1.32765 0 87 0.73190 1.32765 81.4% - 0s
0 2 1.32765 0 85 0.73190 1.32765 81.4% - 0s
2866 780 cutoff 31 0.73190 1.02245 39.7% 17.9 5s
Cutting planes:
Learned: 1
Gomory: 20
Cover: 5
Implied bound: 22
Projected implied bound: 45
MIR: 15
Flow cover: 77
Flow path: 3
Inf proof: 70
Explored 8863 nodes (106975 simplex iterations) in 9.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.731897
Optimal solution found (tolerance 1.00e-02)
Best objective 7.318972512724e-01, best bound 7.318972512724e-01, gap 0.0000%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp35tstoy0.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxfexn0ex.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.721731
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.395502e+00, 763 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39550 0 61 0.72173 1.39550 93.4% - 0s
0 0 1.35649 0 67 0.72173 1.35649 87.9% - 0s
0 0 1.35390 0 63 0.72173 1.35390 87.6% - 0s
0 0 1.31926 0 73 0.72173 1.31926 82.8% - 0s
0 0 1.31925 0 68 0.72173 1.31925 82.8% - 0s
0 0 1.31315 0 80 0.72173 1.31315 81.9% - 0s
0 0 1.31315 0 79 0.72173 1.31315 81.9% - 0s
0 0 1.29655 0 88 0.72173 1.29655 79.6% - 0s
0 0 1.29655 0 88 0.72173 1.29655 79.6% - 0s
0 0 1.29526 0 83 0.72173 1.29526 79.5% - 0s
0 0 1.29507 0 83 0.72173 1.29507 79.4% - 0s
0 0 1.29472 0 82 0.72173 1.29472 79.4% - 0s
0 0 1.29467 0 84 0.72173 1.29467 79.4% - 0s
0 0 1.29467 0 76 0.72173 1.29467 79.4% - 0s
0 2 1.29467 0 74 0.72173 1.29467 79.4% - 0s
1527 651 infeasible 30 0.72173 1.14392 58.5% 21.1 5s
6554 822 infeasible 53 0.72173 0.83907 16.3% 14.3 10s
H 6689 846 0.7218265 0.83491 15.7% 14.3 10s
Cutting planes:
Gomory: 26
Cover: 3
Implied bound: 36
Projected implied bound: 45
MIR: 25
Flow cover: 139
Flow path: 1
Inf proof: 97
Network: 1
Explored 9404 nodes (122464 simplex iterations) in 12.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.721826 0.721731
Optimal solution found (tolerance 1.00e-02)
Best objective 7.218264798386e-01, best bound 7.218264798386e-01, gap 0.0000%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqf45bn9u.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi0q4ogji.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.708126
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.393377e+00, 766 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39338 0 63 0.70813 1.39338 96.8% - 0s
0 0 1.33528 0 66 0.70813 1.33528 88.6% - 0s
0 0 1.33498 0 67 0.70813 1.33498 88.5% - 0s
0 0 1.32048 0 81 0.70813 1.32048 86.5% - 0s
0 0 1.31934 0 84 0.70813 1.31934 86.3% - 0s
0 0 1.31757 0 94 0.70813 1.31757 86.1% - 0s
0 0 1.31713 0 97 0.70813 1.31713 86.0% - 0s
0 0 1.30674 0 94 0.70813 1.30674 84.5% - 0s
0 0 1.30471 0 87 0.70813 1.30471 84.2% - 0s
0 0 1.29851 0 92 0.70813 1.29851 83.4% - 0s
0 0 1.29815 0 94 0.70813 1.29815 83.3% - 0s
0 0 1.29640 0 92 0.70813 1.29640 83.1% - 0s
0 0 1.29614 0 90 0.70813 1.29614 83.0% - 0s
0 0 1.29597 0 95 0.70813 1.29597 83.0% - 0s
0 0 1.29560 0 95 0.70813 1.29560 83.0% - 0s
0 0 1.29434 0 90 0.70813 1.29434 82.8% - 0s
0 0 1.29424 0 89 0.70813 1.29424 82.8% - 0s
0 0 1.29421 0 89 0.70813 1.29421 82.8% - 0s
0 0 1.29421 0 89 0.70813 1.29421 82.8% - 0s
0 0 1.29421 0 75 0.70813 1.29421 82.8% - 0s
0 2 1.29421 0 70 0.70813 1.29421 82.8% - 0s
768 510 1.17653 12 94 0.70813 1.18027 66.7% 20.4 5s
3260 758 0.88478 45 73 0.70813 0.96038 35.6% 20.9 10s
7887 1042 infeasible 40 0.70813 0.80445 13.6% 14.7 15s
Cutting planes:
Gomory: 25
Cover: 8
Implied bound: 30
Projected implied bound: 59
MIR: 29
Flow cover: 138
Flow path: 2
Inf proof: 122
Network: 1
Explored 10549 nodes (141525 simplex iterations) in 18.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.708126
Optimal solution found (tolerance 1.00e-02)
Best objective 7.081256243729e-01, best bound 7.081256243729e-01, gap 0.0000%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpycw11ghr.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp400c8hm4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.686231
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.386089e+00, 815 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38609 0 63 0.68623 1.38609 102% - 0s
0 0 1.34995 0 73 0.68623 1.34995 96.7% - 0s
0 0 1.34768 0 74 0.68623 1.34768 96.4% - 0s
0 0 1.31154 0 84 0.68623 1.31154 91.1% - 0s
0 0 1.31023 0 83 0.68623 1.31023 90.9% - 0s
0 0 1.30464 0 94 0.68623 1.30464 90.1% - 0s
0 0 1.30463 0 94 0.68623 1.30463 90.1% - 0s
0 0 1.28825 0 96 0.68623 1.28825 87.7% - 0s
0 0 1.28825 0 97 0.68623 1.28825 87.7% - 0s
0 0 1.28528 0 90 0.68623 1.28528 87.3% - 0s
0 0 1.28481 0 94 0.68623 1.28481 87.2% - 0s
0 0 1.28441 0 96 0.68623 1.28441 87.2% - 0s
0 0 1.28435 0 100 0.68623 1.28435 87.2% - 0s
0 0 1.28245 0 100 0.68623 1.28245 86.9% - 0s
0 0 1.28245 0 101 0.68623 1.28245 86.9% - 0s
0 0 1.27920 0 92 0.68623 1.27920 86.4% - 0s
0 0 1.27737 0 91 0.68623 1.27737 86.1% - 0s
0 0 1.27535 0 91 0.68623 1.27535 85.8% - 0s
0 0 1.27419 0 91 0.68623 1.27419 85.7% - 0s
0 0 1.27401 0 93 0.68623 1.27401 85.7% - 0s
0 0 1.27401 0 93 0.68623 1.27401 85.7% - 0s
0 0 1.27401 0 92 0.68623 1.27401 85.7% - 0s
0 0 1.27401 0 92 0.68623 1.27401 85.7% - 0s
0 0 1.27401 0 85 0.68623 1.27401 85.7% - 0s
0 2 1.27401 0 85 0.68623 1.27401 85.7% - 0s
2545 619 0.87401 39 100 0.68623 0.97682 42.3% 17.6 5s
8281 940 0.70339 81 36 0.68623 0.74859 9.09% 11.6 10s
H 8607 1009 0.6862314 0.74560 8.65% 11.4 10s
Cutting planes:
Learned: 2
Gomory: 21
Cover: 5
Implied bound: 28
Projected implied bound: 27
MIR: 19
Flow cover: 92
Inf proof: 78
Explored 11200 nodes (122213 simplex iterations) in 13.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.686231 0.686231
Optimal solution found (tolerance 1.00e-02)
Best objective 6.862314193991e-01, best bound 6.887998495691e-01, gap 0.3743%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptnjotq6n.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmca50uqd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.678195
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.354309e+00, 783 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35431 0 66 0.67819 1.35431 100% - 0s
0 0 1.32973 0 82 0.67819 1.32973 96.1% - 0s
0 0 1.32797 0 82 0.67819 1.32797 95.8% - 0s
0 0 1.26910 0 91 0.67819 1.26910 87.1% - 0s
0 0 1.26474 0 99 0.67819 1.26474 86.5% - 0s
0 0 1.25764 0 98 0.67819 1.25764 85.4% - 0s
0 0 1.25762 0 103 0.67819 1.25762 85.4% - 0s
0 0 1.23977 0 112 0.67819 1.23977 82.8% - 0s
0 0 1.23966 0 109 0.67819 1.23966 82.8% - 0s
0 0 1.23427 0 114 0.67819 1.23427 82.0% - 0s
0 0 1.23411 0 118 0.67819 1.23411 82.0% - 0s
0 0 1.23322 0 116 0.67819 1.23322 81.8% - 0s
0 0 1.23320 0 118 0.67819 1.23320 81.8% - 0s
0 0 1.23178 0 118 0.67819 1.23178 81.6% - 0s
0 0 1.23178 0 120 0.67819 1.23178 81.6% - 0s
0 0 1.23173 0 122 0.67819 1.23173 81.6% - 0s
0 0 1.23164 0 125 0.67819 1.23164 81.6% - 0s
0 0 1.23122 0 133 0.67819 1.23122 81.5% - 0s
0 0 1.23122 0 105 0.67819 1.23122 81.5% - 0s
0 2 1.23122 0 103 0.67819 1.23122 81.5% - 0s
1135 569 1.02950 24 106 0.67819 1.09494 61.4% 24.5 5s
H 3361 996 0.6781946 0.97256 43.4% 22.2 9s
3563 1005 0.69593 41 94 0.67819 0.97089 43.2% 22.1 10s
7649 1188 0.76201 49 71 0.67819 0.79874 17.8% 16.7 15s
10879 243 infeasible 57 0.67819 0.70740 4.31% 15.1 20s
Cutting planes:
Gomory: 20
Cover: 7
Implied bound: 32
Projected implied bound: 48
Clique: 1
MIR: 32
Flow cover: 127
Flow path: 3
Inf proof: 129
Explored 11469 nodes (170952 simplex iterations) in 20.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.678195 0.678195
Optimal solution found (tolerance 1.00e-02)
Best objective 6.781945546579e-01, best bound 6.811231760912e-01, gap 0.4318%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj_gph1q7.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnj5272d2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.671689
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.333245e+00, 820 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33325 0 65 0.67169 1.33325 98.5% - 0s
0 0 1.29967 0 72 0.67169 1.29967 93.5% - 0s
0 0 1.29697 0 64 0.67169 1.29697 93.1% - 0s
0 0 1.24151 0 90 0.67169 1.24151 84.8% - 0s
0 0 1.23896 0 87 0.67169 1.23896 84.5% - 0s
0 0 1.23676 0 95 0.67169 1.23676 84.1% - 0s
0 0 1.23676 0 97 0.67169 1.23676 84.1% - 0s
0 0 1.22396 0 96 0.67169 1.22396 82.2% - 0s
0 0 1.22230 0 106 0.67169 1.22230 82.0% - 0s
0 0 1.21471 0 105 0.67169 1.21471 80.8% - 0s
0 0 1.21418 0 111 0.67169 1.21418 80.8% - 0s
0 0 1.21406 0 117 0.67169 1.21406 80.7% - 0s
0 0 1.21406 0 117 0.67169 1.21406 80.7% - 0s
0 0 1.21406 0 119 0.67169 1.21406 80.7% - 0s
0 0 1.21404 0 115 0.67169 1.21404 80.7% - 0s
0 0 1.21404 0 118 0.67169 1.21404 80.7% - 0s
0 0 1.21404 0 106 0.67169 1.21404 80.7% - 0s
0 2 1.21404 0 102 0.67169 1.21404 80.7% - 0s
802 500 1.05542 7 112 0.67169 1.10489 64.5% 16.6 5s
3417 949 0.76014 51 90 0.67169 0.92257 37.4% 20.2 10s
7668 1233 0.73437 67 55 0.67169 0.79203 17.9% 14.6 15s
12624 392 infeasible 55 0.67169 0.68990 2.71% 12.4 20s
Cutting planes:
Gomory: 34
Cover: 6
Implied bound: 32
Projected implied bound: 60
Clique: 2
MIR: 32
Flow cover: 148
Flow path: 4
Inf proof: 109
Explored 13139 nodes (162260 simplex iterations) in 20.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.671689
Optimal solution found (tolerance 1.00e-02)
Best objective 6.716892098454e-01, best bound 6.763979654165e-01, gap 0.7010%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprw91c7au.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfyp5pop2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.667985
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.314535e+00, 823 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31453 0 65 0.66798 1.31453 96.8% - 0s
0 0 1.29106 0 74 0.66798 1.29106 93.3% - 0s
0 0 1.28927 0 69 0.66798 1.28927 93.0% - 0s
0 0 1.23411 0 91 0.66798 1.23411 84.8% - 0s
0 0 1.23287 0 89 0.66798 1.23287 84.6% - 0s
0 0 1.21908 0 113 0.66798 1.21908 82.5% - 0s
0 0 1.21875 0 109 0.66798 1.21875 82.5% - 0s
0 0 1.20773 0 117 0.66798 1.20773 80.8% - 0s
0 0 1.20725 0 119 0.66798 1.20725 80.7% - 0s
0 0 1.20198 0 123 0.66798 1.20198 79.9% - 0s
0 0 1.20144 0 124 0.66798 1.20144 79.9% - 0s
0 0 1.19907 0 125 0.66798 1.19907 79.5% - 0s
0 0 1.19907 0 127 0.66798 1.19907 79.5% - 0s
0 0 1.19906 0 129 0.66798 1.19906 79.5% - 0s
0 0 1.19906 0 130 0.66798 1.19906 79.5% - 0s
0 0 1.19896 0 131 0.66798 1.19896 79.5% - 0s
0 0 1.19896 0 103 0.66798 1.19896 79.5% - 0s
0 2 1.19896 0 102 0.66798 1.19896 79.5% - 0s
783 503 1.10096 14 111 0.66798 1.10096 64.8% 25.0 5s
H 1239 548 0.6680639 1.08873 63.0% 24.2 6s
2972 762 0.79122 40 82 0.66806 0.91698 37.3% 23.7 10s
8263 1544 infeasible 50 0.66806 0.76855 15.0% 15.3 15s
12357 230 cutoff 71 0.66806 0.68480 2.50% 13.0 20s
Cutting planes:
Gomory: 23
Cover: 6
Implied bound: 33
Projected implied bound: 53
MIR: 25
Flow cover: 119
Flow path: 4
Inf proof: 123
Explored 12738 nodes (165039 simplex iterations) in 20.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.668064 0.667985
Optimal solution found (tolerance 1.00e-02)
Best objective 6.680639396129e-01, best bound 6.727395925308e-01, gap 0.6999%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkkjevwmz.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp59gwcy3y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.651124
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.280807e+00, 889 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28081 0 66 0.65112 1.28081 96.7% - 0s
0 0 1.25914 0 79 0.65112 1.25914 93.4% - 0s
0 0 1.25761 0 77 0.65112 1.25761 93.1% - 0s
0 0 1.23951 0 73 0.65112 1.23951 90.4% - 0s
0 0 1.23802 0 75 0.65112 1.23802 90.1% - 0s
0 0 1.23406 0 82 0.65112 1.23406 89.5% - 0s
0 0 1.23405 0 84 0.65112 1.23405 89.5% - 0s
0 0 1.21508 0 87 0.65112 1.21508 86.6% - 0s
0 0 1.21298 0 89 0.65112 1.21298 86.3% - 0s
0 0 1.20227 0 92 0.65112 1.20227 84.6% - 0s
0 0 1.20226 0 94 0.65112 1.20226 84.6% - 0s
0 0 1.20216 0 97 0.65112 1.20216 84.6% - 0s
0 0 1.20215 0 97 0.65112 1.20215 84.6% - 0s
0 0 1.20215 0 97 0.65112 1.20215 84.6% - 0s
0 0 1.20215 0 90 0.65112 1.20215 84.6% - 0s
0 2 1.20215 0 88 0.65112 1.20215 84.6% - 0s
1166 586 0.71436 61 83 0.65112 1.04280 60.2% 21.6 5s
4645 1367 0.73122 38 93 0.65112 0.85036 30.6% 16.9 10s
9278 1348 0.71555 70 49 0.65112 0.72839 11.9% 13.8 15s
Cutting planes:
Gomory: 23
Cover: 2
Implied bound: 41
Projected implied bound: 49
Clique: 1
MIR: 25
Flow cover: 93
Flow path: 4
Inf proof: 149
Explored 12649 nodes (156769 simplex iterations) in 19.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.651124
Optimal solution found (tolerance 1.00e-02)
Best objective 6.511239244638e-01, best bound 6.574434875919e-01, gap 0.9706%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3tjvlyjv.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuyjluyah.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.651285
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.282724e+00, 900 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28272 0 73 0.65128 1.28272 97.0% - 0s
0 0 1.24714 0 81 0.65128 1.24714 91.5% - 0s
0 0 1.24614 0 81 0.65128 1.24614 91.3% - 0s
0 0 1.20468 0 111 0.65128 1.20468 85.0% - 0s
0 0 1.20315 0 113 0.65128 1.20315 84.7% - 0s
0 0 1.19874 0 126 0.65128 1.19874 84.1% - 0s
0 0 1.19775 0 130 0.65128 1.19775 83.9% - 0s
0 0 1.19510 0 132 0.65128 1.19510 83.5% - 0s
0 0 1.19467 0 136 0.65128 1.19467 83.4% - 0s
0 0 1.19410 0 137 0.65128 1.19410 83.3% - 0s
0 0 1.19408 0 139 0.65128 1.19408 83.3% - 0s
0 0 1.18584 0 138 0.65128 1.18584 82.1% - 0s
0 0 1.18429 0 133 0.65128 1.18429 81.8% - 0s
0 0 1.18292 0 136 0.65128 1.18292 81.6% - 0s
0 0 1.18193 0 133 0.65128 1.18193 81.5% - 0s
0 0 1.18158 0 135 0.65128 1.18158 81.4% - 0s
0 0 1.18125 0 137 0.65128 1.18125 81.4% - 0s
0 0 1.18125 0 137 0.65128 1.18125 81.4% - 0s
0 0 1.18125 0 137 0.65128 1.18125 81.4% - 0s
0 0 1.18125 0 115 0.65128 1.18125 81.4% - 0s
0 2 1.18125 0 114 0.65128 1.18125 81.4% - 0s
802 522 1.07799 16 114 0.65128 1.07799 65.5% 21.7 5s
3585 1061 infeasible 25 0.65128 0.91887 41.1% 22.6 10s
7959 1618 0.76520 60 57 0.65128 0.76950 18.2% 16.5 15s
11948 1558 cutoff 70 0.65128 0.71699 10.1% 14.6 20s
Cutting planes:
Gomory: 32
Cover: 5
Implied bound: 45
Projected implied bound: 64
MIR: 28
Flow cover: 145
Flow path: 2
Inf proof: 153
Explored 15466 nodes (212362 simplex iterations) in 24.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.651285
Optimal solution found (tolerance 1.00e-02)
Best objective 6.512847431654e-01, best bound 6.537418852672e-01, gap 0.3773%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphrgmmmfw.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5xq4owj1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.636686
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.253315e+00, 928 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25332 0 72 0.63669 1.25332 96.8% - 0s
0 0 1.22357 0 81 0.63669 1.22357 92.2% - 0s
0 0 1.22114 0 75 0.63669 1.22114 91.8% - 0s
0 0 1.17490 0 112 0.63669 1.17490 84.5% - 0s
0 0 1.17386 0 109 0.63669 1.17386 84.4% - 0s
0 0 1.16739 0 124 0.63669 1.16739 83.4% - 0s
0 0 1.16738 0 125 0.63669 1.16738 83.4% - 0s
0 0 1.15532 0 124 0.63669 1.15532 81.5% - 0s
0 0 1.15531 0 125 0.63669 1.15531 81.5% - 0s
0 0 1.15272 0 124 0.63669 1.15272 81.0% - 0s
0 0 1.15271 0 124 0.63669 1.15271 81.0% - 0s
0 0 1.15227 0 121 0.63669 1.15227 81.0% - 0s
0 0 1.15214 0 120 0.63669 1.15214 81.0% - 0s
0 0 1.15162 0 120 0.63669 1.15162 80.9% - 0s
0 0 1.15162 0 120 0.63669 1.15162 80.9% - 0s
0 0 1.15162 0 120 0.63669 1.15162 80.9% - 0s
0 0 1.15162 0 120 0.63669 1.15162 80.9% - 0s
0 0 1.15161 0 102 0.63669 1.15161 80.9% - 0s
0 0 1.15161 0 106 0.63669 1.15161 80.9% - 0s
0 0 1.15161 0 108 0.63669 1.15161 80.9% - 0s
0 0 1.15161 0 105 0.63669 1.15161 80.9% - 0s
0 2 1.15161 0 105 0.63669 1.15161 80.9% - 0s
751 533 1.07775 10 102 0.63669 1.07775 69.3% 20.8 5s
H 2229 777 0.6370494 1.03201 62.0% 24.7 9s
2396 840 infeasible 22 0.63705 1.01925 60.0% 24.6 10s
4414 1083 0.78458 47 101 0.63705 0.89016 39.7% 22.6 15s
9141 1191 0.72812 34 88 0.63705 0.72929 14.5% 16.0 20s
13801 673 0.65687 75 29 0.63705 0.66402 4.23% 13.4 25s
H14832 295 0.6370494 0.64862 1.82% 13.2 27s
Cutting planes:
Learned: 1
Gomory: 26
Cover: 5
Implied bound: 31
Projected implied bound: 57
Clique: 1
MIR: 34
Flow cover: 128
Flow path: 2
Inf proof: 142
Explored 15139 nodes (200558 simplex iterations) in 27.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.637049 0.637049 0.636686
Optimal solution found (tolerance 1.00e-02)
Best objective 6.370494069519e-01, best bound 6.428065438354e-01, gap 0.9037%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbo4m76dw.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppuojt1qm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.623063
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.223384e+00, 1008 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22338 0 73 0.62306 1.22338 96.3% - 0s
0 0 1.19235 0 88 0.62306 1.19235 91.4% - 0s
0 0 1.19046 0 83 0.62306 1.19046 91.1% - 0s
0 0 1.14162 0 116 0.62306 1.14162 83.2% - 0s
0 0 1.13999 0 111 0.62306 1.13999 83.0% - 0s
0 0 1.13576 0 129 0.62306 1.13576 82.3% - 0s
0 0 1.13471 0 126 0.62306 1.13471 82.1% - 0s
0 0 1.11985 0 129 0.62306 1.11985 79.7% - 0s
0 0 1.11950 0 133 0.62306 1.11950 79.7% - 0s
0 0 1.11716 0 129 0.62306 1.11716 79.3% - 0s
0 0 1.11715 0 128 0.62306 1.11715 79.3% - 0s
0 0 1.11714 0 130 0.62306 1.11714 79.3% - 0s
0 0 1.11714 0 131 0.62306 1.11714 79.3% - 0s
0 0 1.11714 0 128 0.62306 1.11714 79.3% - 0s
0 0 1.11714 0 110 0.62306 1.11714 79.3% - 0s
0 2 1.11714 0 108 0.62306 1.11714 79.3% - 0s
808 533 1.03210 17 116 0.62306 1.03290 65.8% 25.1 5s
3030 1139 0.71863 30 140 0.62306 0.94774 52.1% 24.7 10s
6078 1938 0.72860 54 91 0.62306 0.87298 40.1% 22.0 15s
9991 2014 infeasible 37 0.62306 0.78627 26.2% 18.6 20s
H12772 1717 0.6230633 0.72838 16.9% 16.5 24s
12834 1658 0.67170 85 46 0.62306 0.72805 16.8% 16.5 25s
16781 1575 0.63756 58 73 0.62306 0.67072 7.65% 14.4 30s
Cutting planes:
Learned: 1
Gomory: 26
Cover: 4
Implied bound: 47
Projected implied bound: 65
MIR: 35
Flow cover: 131
Flow path: 3
Inf proof: 180
Explored 20708 nodes (283650 simplex iterations) in 34.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.623063 0.623063
Optimal solution found (tolerance 1.00e-02)
Best objective 6.230633173050e-01, best bound 6.285741529771e-01, gap 0.8845%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb9cpn2no.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk1bbucyz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.62111
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.242545e+00, 974 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24254 0 70 0.62111 1.24254 100% - 0s
0 0 1.22114 0 78 0.62111 1.22114 96.6% - 0s
0 0 1.21992 0 79 0.62111 1.21992 96.4% - 0s
0 0 1.17000 0 106 0.62111 1.17000 88.4% - 0s
0 0 1.16975 0 107 0.62111 1.16975 88.3% - 0s
0 0 1.16573 0 109 0.62111 1.16573 87.7% - 0s
0 0 1.16477 0 121 0.62111 1.16477 87.5% - 0s
0 0 1.15858 0 124 0.62111 1.15858 86.5% - 0s
0 0 1.15854 0 118 0.62111 1.15854 86.5% - 0s
0 0 1.15720 0 129 0.62111 1.15720 86.3% - 0s
0 0 1.15719 0 130 0.62111 1.15719 86.3% - 0s
0 0 1.15639 0 125 0.62111 1.15639 86.2% - 0s
0 0 1.15634 0 130 0.62111 1.15634 86.2% - 0s
0 0 1.15634 0 129 0.62111 1.15634 86.2% - 0s
0 0 1.15634 0 132 0.62111 1.15634 86.2% - 0s
0 0 1.15085 0 130 0.62111 1.15085 85.3% - 0s
0 0 1.15084 0 132 0.62111 1.15084 85.3% - 0s
0 0 1.15043 0 133 0.62111 1.15043 85.2% - 0s
0 0 1.15043 0 135 0.62111 1.15043 85.2% - 0s
0 0 1.15029 0 133 0.62111 1.15029 85.2% - 0s
0 0 1.15029 0 133 0.62111 1.15029 85.2% - 0s
0 0 1.15029 0 116 0.62111 1.15029 85.2% - 0s
0 2 1.15029 0 116 0.62111 1.15029 85.2% - 0s
770 494 1.05505 11 128 0.62111 1.05505 69.9% 25.1 5s
2303 648 infeasible 24 0.62111 0.98041 57.8% 26.6 10s
H 2306 648 0.6211100 0.98041 57.8% 26.6 10s
4686 1187 0.85822 35 114 0.62111 0.90421 45.6% 23.0 15s
9709 2490 infeasible 54 0.62111 0.80631 29.8% 16.9 20s
13216 2941 0.64958 60 52 0.62111 0.76124 22.6% 15.1 25s
H15079 3013 0.6211100 0.73403 18.2% 14.6 27s
16442 2856 infeasible 53 0.62111 0.71583 15.3% 14.4 30s
19644 2664 infeasible 81 0.62111 0.69047 11.2% 13.9 35s
23222 2436 cutoff 86 0.62111 0.67248 8.27% 13.7 40s
25055 1925 0.66029 82 47 0.62111 0.66118 6.45% 13.9 45s
27751 973 infeasible 54 0.62111 0.64149 3.28% 14.0 50s
Cutting planes:
Learned: 1
Gomory: 28
Cover: 4
Implied bound: 45
Projected implied bound: 56
MIR: 35
Flow cover: 139
Flow path: 3
Inf proof: 303
Network: 2
Explored 29122 nodes (410490 simplex iterations) in 52.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.62111 0.62111 0.62111
Optimal solution found (tolerance 1.00e-02)
Best objective 6.211099760748e-01, best bound 6.272245605093e-01, gap 0.9845%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptexw1qms.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9rmsmf_8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.614977
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.218130e+00, 1028 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21813 0 75 0.61498 1.21813 98.1% - 0s
0 0 1.18874 0 83 0.61498 1.18874 93.3% - 0s
0 0 1.18807 0 78 0.61498 1.18807 93.2% - 0s
0 0 1.15558 0 125 0.61498 1.15558 87.9% - 0s
0 0 1.15400 0 116 0.61498 1.15400 87.6% - 0s
0 0 1.14915 0 131 0.61498 1.14915 86.9% - 0s
0 0 1.14914 0 138 0.61498 1.14914 86.9% - 0s
0 0 1.13562 0 141 0.61498 1.13562 84.7% - 0s
0 0 1.13562 0 143 0.61498 1.13562 84.7% - 0s
0 0 1.13283 0 144 0.61498 1.13283 84.2% - 0s
0 0 1.13267 0 141 0.61498 1.13267 84.2% - 0s
0 0 1.13261 0 147 0.61498 1.13261 84.2% - 0s
0 0 1.13256 0 147 0.61498 1.13256 84.2% - 0s
0 0 1.13246 0 148 0.61498 1.13246 84.1% - 0s
0 0 1.13246 0 120 0.61498 1.13246 84.1% - 0s
0 2 1.13246 0 118 0.61498 1.13246 84.1% - 0s
779 507 0.69933 17 131 0.61498 1.03751 68.7% 17.9 5s
2670 1063 infeasible 81 0.61498 0.96386 56.7% 23.0 10s
5443 1562 0.75601 56 97 0.61498 0.84819 37.9% 20.0 15s
9419 2424 0.71627 85 84 0.61498 0.78013 26.9% 16.1 20s
12044 2516 infeasible 83 0.61498 0.74747 21.5% 15.5 25s
15108 2666 infeasible 61 0.61498 0.71456 16.2% 15.1 30s
19665 2948 infeasible 93 0.61498 0.68355 11.2% 14.2 35s
22912 2412 infeasible 90 0.61498 0.66414 7.99% 14.2 40s
26063 1327 infeasible 121 0.61498 0.63983 4.04% 14.2 45s
Cutting planes:
Gomory: 29
Cover: 5
Implied bound: 56
Projected implied bound: 73
MIR: 36
Flow cover: 155
Flow path: 7
Inf proof: 313
Explored 28803 nodes (405610 simplex iterations) in 48.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.614977
Optimal solution found (tolerance 1.00e-02)
Best objective 6.149773284554e-01, best bound 6.202728437211e-01, gap 0.8611%
Run 3
Seed for training 658
Seed for simulation 67
direc: array([[-1.61029677e+02, 0.00000000e+00, 1.61029673e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.54682198e-07, 2.52506042e-05, 9.99999845e-01]])
fopt: 0.5306394071204181
fun: -0.5300129865794081
message: 'Optimization terminated successfully.'
nfev: 767
nit: 8
status: 0
success: True
x: array([201.97686431, 3.00313141, 169.00000001])
xopt: array([201., 4., 170.])
zopt: array([201., 205., 375.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm9wow5lf.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptw3_2oan.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.530639
Presolve removed 650 rows and 405 columns
Presolve time: 0.02s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.289659e+00, 1037 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28966 0 76 0.53064 1.28966 143% - 0s
0 0 1.25881 0 109 0.53064 1.25881 137% - 0s
0 0 1.25758 0 118 0.53064 1.25758 137% - 0s
0 0 1.24213 0 143 0.53064 1.24213 134% - 0s
0 0 1.23777 0 128 0.53064 1.23777 133% - 0s
0 0 1.23310 0 135 0.53064 1.23310 132% - 0s
0 0 1.23246 0 133 0.53064 1.23246 132% - 0s
0 0 1.22990 0 137 0.53064 1.22990 132% - 0s
0 0 1.22914 0 137 0.53064 1.22914 132% - 0s
0 0 1.22841 0 137 0.53064 1.22841 131% - 0s
0 0 1.22834 0 138 0.53064 1.22834 131% - 0s
0 0 1.22792 0 142 0.53064 1.22792 131% - 0s
0 0 1.22782 0 141 0.53064 1.22782 131% - 0s
0 0 1.22781 0 142 0.53064 1.22781 131% - 0s
0 0 1.22781 0 142 0.53064 1.22781 131% - 0s
0 0 1.22781 0 133 0.53064 1.22781 131% - 0s
0 2 1.22781 0 131 0.53064 1.22781 131% - 0s
* 677 421 161 0.5406389 1.16451 115% 17.5 1s
794 539 infeasible 17 0.54064 1.14520 112% 23.0 5s
2508 725 0.86848 29 143 0.54064 1.06876 97.7% 24.0 10s
6393 2534 infeasible 30 0.54064 0.98150 81.5% 19.2 15s
H 6641 2636 0.5468916 0.97956 79.1% 19.0 15s
H 7334 2725 0.5962481 0.97267 63.1% 19.1 17s
8485 3000 0.78748 40 120 0.59625 0.95705 60.5% 19.5 20s
11013 3465 0.91026 53 104 0.59625 0.91826 54.0% 19.9 25s
*13404 3991 121 0.5996300 0.87938 46.7% 19.1 28s
14082 4127 infeasible 53 0.59963 0.87061 45.2% 18.9 30s
17439 4418 cutoff 48 0.59963 0.82268 37.2% 18.2 35s
*17515 4322 99 0.6109610 0.82268 34.7% 18.1 35s
*18055 4337 121 0.6147003 0.81853 33.2% 17.9 35s
20445 4365 infeasible 35 0.61470 0.78697 28.0% 17.5 40s
H21005 4562 0.6162781 0.78433 27.3% 17.4 54s
21008 4564 0.61722 49 108 0.61628 0.78433 27.3% 17.4 55s
21023 4574 0.63997 67 190 0.61628 0.78433 27.3% 17.4 60s
21036 4583 0.75050 62 195 0.61628 0.78433 27.3% 17.3 65s
21043 4588 0.70308 44 192 0.61628 0.78433 27.3% 17.3 70s
21052 4594 0.64221 54 201 0.61628 0.78433 27.3% 17.3 75s
21059 4598 0.73585 49 196 0.61628 0.78433 27.3% 17.3 80s
21066 4603 0.63282 54 206 0.61628 0.78433 27.3% 17.3 85s
21073 4608 0.69666 55 215 0.61628 0.78433 27.3% 17.3 90s
21079 4612 0.68150 74 205 0.61628 0.78433 27.3% 17.3 95s
21084 4615 0.66325 60 220 0.61628 0.78433 27.3% 17.3 100s
21090 4619 0.71515 58 215 0.61628 0.78433 27.3% 17.3 105s
21098 4624 0.65854 70 223 0.61628 0.78433 27.3% 17.3 110s
21103 4628 0.63131 65 215 0.61628 0.78242 27.0% 17.3 116s
21108 4631 0.61722 49 218 0.61628 0.77997 26.6% 17.3 120s
21112 4634 0.76766 59 222 0.61628 0.77875 26.4% 17.3 125s
21118 4638 0.75637 58 222 0.61628 0.77819 26.3% 17.3 131s
21122 4640 0.68596 35 233 0.61628 0.77779 26.2% 17.3 135s
21126 4643 0.77388 54 227 0.61628 0.77718 26.1% 17.3 140s
21131 4646 0.65470 92 225 0.61628 0.77672 26.0% 17.3 145s
21136 4650 0.75050 62 224 0.61628 0.77617 25.9% 17.3 150s
21142 4654 0.64874 71 222 0.61628 0.77561 25.9% 17.3 156s
H21145 4420 0.6178228 0.77546 25.5% 17.3 160s
21150 4423 0.69798 58 227 0.61782 0.77537 25.5% 17.3 165s
21156 4427 0.73631 55 225 0.61782 0.77487 25.4% 17.2 171s
21160 4430 0.74481 65 228 0.61782 0.77431 25.3% 17.2 175s
21166 4434 0.63282 54 224 0.61782 0.77395 25.3% 17.2 180s
21171 4437 0.74658 59 228 0.61782 0.77374 25.2% 17.2 185s
21176 4440 0.75012 46 226 0.61782 0.77345 25.2% 17.2 190s
21184 4446 0.66325 60 225 0.61782 0.77320 25.1% 17.2 195s
21190 4450 0.71515 58 225 0.61782 0.77303 25.1% 17.2 200s
21198 4455 0.65854 70 226 0.61782 0.77298 25.1% 17.2 205s
21204 4459 0.67220 64 225 0.61782 0.77294 25.1% 17.2 210s
21211 4464 0.68871 63 230 0.61782 0.77291 25.1% 17.2 215s
21219 4469 0.70621 61 227 0.61782 0.77288 25.1% 17.2 220s
21226 4474 0.77287 54 228 0.61782 0.77287 25.1% 17.2 225s
21232 4478 0.68613 70 225 0.61782 0.77283 25.1% 17.2 230s
21238 4482 0.64184 50 226 0.61782 0.77267 25.1% 17.2 236s
21242 4485 infeasible 22 0.61782 0.77246 25.0% 18.9 243s
21244 4484 0.77173 23 216 0.61782 0.77179 24.9% 18.9 248s
21246 4484 0.77147 24 217 0.61782 0.77147 24.9% 18.9 251s
21247 4484 cutoff 25 0.61782 0.77147 24.9% 18.9 255s
21272 4492 0.75214 30 182 0.61782 0.76346 23.6% 19.1 260s
H21305 4259 0.6178228 0.76346 23.6% 19.2 261s
21486 4297 0.73312 35 140 0.61782 0.76240 23.4% 19.5 265s
21895 4292 0.69033 40 128 0.61782 0.74316 20.3% 20.6 270s
22842 4266 infeasible 38 0.61782 0.71261 15.3% 21.7 275s
H23297 4040 0.6181023 0.70416 13.9% 22.0 278s
23554 3949 0.65453 44 123 0.61810 0.69685 12.7% 22.3 280s
24764 3809 0.63527 42 99 0.61810 0.68104 10.2% 22.9 285s
25886 3593 0.63813 41 109 0.61810 0.66940 8.30% 23.5 290s
*26717 3155 78 0.6181023 0.66080 6.91% 23.8 292s
26745 3161 0.63894 55 70 0.61810 0.66080 6.91% 23.8 296s
27737 2858 cutoff 69 0.61810 0.65366 5.75% 23.9 300s
29220 2176 0.64097 67 54 0.61810 0.64147 3.78% 24.3 305s
*30766 875 82 0.6184433 0.62668 1.33% 24.4 309s
31022 644 cutoff 60 0.61844 0.62421 0.93% 24.4 310s
Cutting planes:
Learned: 5
Gomory: 143
Cover: 15
Implied bound: 47
Projected implied bound: 35
Clique: 15
MIR: 193
Flow cover: 580
Flow path: 5
Inf proof: 72
Zero half: 2
Explored 31560 nodes (763559 simplex iterations) in 310.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.618443 0.618102 0.618102 ... 0.596248
Optimal solution found (tolerance 0.00e+00)
Best objective 6.184432891216e-01, best bound 6.184432891216e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp346ztay2.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd7dy5qlc.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 572 rows and 427 columns
Presolve time: 0.00s
Presolved: 374 rows, 384 columns, 1599 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.5077188e+02 6.866843e+03 0.000000e+00 0s
267 1.4265144e+01 0.000000e+00 0.000000e+00 0s
Solved in 267 iterations and 0.01 seconds
Optimal objective 1.426514354e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.07762142e-07, -1.06805013e-08, -4.80546733e-07]])
fopt: 3.553412695683392
fun: -3.5638111375891555
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 21.17922937, -1. , -87.99580146])
xopt: array([21., 0., 0.])
zopt: array([21., 21., 21.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.00236613e-06, -2.14059653e-06, -2.14059653e-06]])
fopt: 2.886763246769201
fun: -2.9100954099838097
message: 'Optimization terminated successfully.'
nfev: 136
nit: 2
status: 0
success: True
x: array([ 43.13719047, -87.99580536, -87.99580536])
xopt: array([43., 0., 0.])
zopt: array([43., 43., 43.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.02152155, 0.00105646, 0.00101929]])
fopt: 1.8843767039566537
fun: -1.9001656662007655
message: 'Optimization terminated successfully.'
nfev: 220
nit: 3
status: 0
success: True
x: array([43.18409075, -0.75504485, -0.99886765])
xopt: array([43., 0., 0.])
zopt: array([43., 43., 43.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.56355468, 0.0147566 , 0.0147566 ]])
fopt: 1.8772072616657731
fun: -1.891379003586342
message: 'Optimization terminated successfully.'
nfev: 270
nit: 3
status: 0
success: True
x: array([76.81685861, -0.9998761 , -0.99475018])
xopt: array([77., 0., 0.])
zopt: array([77., 77., 77.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.6382710600947235
fun: -1.6438262547963256
message: 'Optimization terminated successfully.'
nfev: 202
nit: 2
status: 0
success: True
x: array([101.00194305, 1.00087041, 0.19596977])
xopt: array([101., 1., 0.])
zopt: array([101., 102., 102.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1513
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1485
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1523
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1511
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.068009178141914
fun: -1.0693843562247483
message: 'Optimization terminated successfully.'
nfev: 337
nit: 3
status: 0
success: True
x: array([185.1736111 , 2. , -0.99999998])
xopt: array([185., 2., 0.])
zopt: array([185., 187., 187.])
*******************************************
Period: 11
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 4.81236410e-06, 2.42151932e-08, 2.42151932e-08],
[ 7.39344845e-09, -1.29637209e+01, 2.21805799e+01]])
fopt: 0.9521368263274418
fun: -1.0236361166783652
message: 'Optimization terminated successfully.'
nfev: 418
nit: 5
status: 0
success: True
x: array([199.733253 , -12.5488505 , 16.06319691])
xopt: array([199., 0., 16.])
zopt: array([199., 199., 215.])
*******************************************
Period: 12
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.91845031e-02, 8.74698959e-05, 8.74698959e-05]])
fopt: 0.8876379413787154
fun: -0.8875554059233433
message: 'Optimization terminated successfully.'
nfev: 341
nit: 3
status: 0
success: True
x: array([220.34610789, 2.00008747, 2.03731451])
xopt: array([220., 2., 2.])
zopt: array([220., 222., 224.])
*******************************************
Period: 13
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.48948518e-05, 1.12902071e-07, 1.54132112e-15]])
fopt: 0.8070805851241287
fun: -0.8061665350084631
message: 'Optimization terminated successfully.'
nfev: 263
nit: 2
status: 0
success: True
x: array([221.49953827, 2.00000011, 1.00000001])
xopt: array([221., 2., 1.])
zopt: array([221., 223., 224.])
*******************************************
Period: 14
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.27754362e-04, 2.84978587e-06, 1.75230586e-16]])
fopt: 0.6620979460300944
fun: -0.6648467966759313
message: 'Optimization terminated successfully.'
nfev: 375
nit: 3
status: 0
success: True
x: array([221.28186662, 2.00000285, 1.00816473])
xopt: array([221., 2., 1.])
zopt: array([221., 223., 224.])
*******************************************
Period: 15
direc: array([[-0.60475262, -0.00610212, -0.00289898],
[ 0. , 1. , 0. ],
[-0.60475262, -0.00610212, -0.02369266]])
fopt: 0.5946805025103957
fun: -0.591612787416169
message: 'Optimization terminated successfully.'
nfev: 482
nit: 4
status: 0
success: True
x: array([218.61135984, 3.1957566 , 2.00156786])
xopt: array([218., 3., 3.])
zopt: array([218., 221., 224.])
*******************************************
Period: 16
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.5001973304566509
fun: -0.5017389161074173
message: 'Optimization terminated successfully.'
nfev: 378
nit: 4
status: 0
success: True
x: array([221.48418718, 2.00731598, 1.00000073])
xopt: array([221., 2., 1.])
zopt: array([221., 223., 224.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 6.27959768e-06, 2.88929580e-08, 2.85570357e-08],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.4338338487805158
fun: -0.4321895567393049
message: 'Optimization terminated successfully.'
nfev: 435
nit: 4
status: 0
success: True
x: array([2.20896698e+02, 1.10121440e-01, 3.00000001e+00])
xopt: array([220., 0., 4.])
zopt: array([220., 220., 224.])
*******************************************
Period: 18
direc: array([[ 1.62157805e-07, 7.46440536e-10, 7.37761939e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.27373675e-13, -2.22845709e-04, 1.00000000e+00]])
fopt: 0.4036036752558889
fun: -0.40362312787051113
message: 'Optimization terminated successfully.'
nfev: 615
nit: 6
status: 0
success: True
x: array([220.79692455, 2.01020349, 7. ])
xopt: array([220., 2., 8.])
zopt: array([220., 222., 230.])
*******************************************
Period: 19
direc: array([[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00],
[ 3.00074045e-05, -1.76852107e-07, 1.34978203e-07],
[-3.72033639e-08, 2.19262386e-10, 1.00000000e+00]])
fopt: 0.3034391905136071
fun: -0.3082536694883132
message: 'Optimization terminated successfully.'
nfev: 381
nit: 5
status: 0
success: True
x: array([223.31299471, -2.32962154, 7.00000013])
xopt: array([223., 0., 8.])
zopt: array([223., 223., 231.])
*******************************************
Period: 20
direc: array([[ 2.18577765e-05, 8.12387901e-08, 1.63177470e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.87552401e-03, -8.95702976e+01, 8.95703200e+01]])
fopt: 0.2961146706466713
fun: -0.4617029327660285
message: 'Optimization terminated successfully.'
nfev: 342
nit: 4
status: 0
success: True
x: array([270.0577921 , -87.558816 , 93.57893523])
xopt: array([270., 0., 93.])
zopt: array([270., 270., 363.])
*******************************************
Period: 21
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.1488791374406002
fun: -0.15030318087014596
message: 'Optimization terminated successfully.'
nfev: 354
nit: 4
status: 0
success: True
x: array([223.15787952, 1.09016867, 3.00000765])
xopt: array([223., 1., 4.])
zopt: array([223., 224., 228.])
*******************************************
Period: 22
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -5.83886262e-04, -1.13738180e-05]])
fopt: 0.6422687514147589
fun: -0.6399916513413616
message: 'Optimization terminated successfully.'
nfev: 628
nit: 7
status: 0
success: True
x: array([222.61051753, 1.05547747, 200.10716925])
xopt: array([222., 1., 201.])
zopt: array([222., 223., 424.])
*******************************************
Period: 23
direc: array([[ 1.29553030e-01, 4.74676655e-04, 9.75691206e-04],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -7.84708914e-06, -0.00000000e+00]])
fopt: 0.17044151287235543
fun: -0.17051204810369375
message: 'Optimization terminated successfully.'
nfev: 445
nit: 5
status: 0
success: True
x: array([274.05852851, 6.00045815, 4.0564614 ])
xopt: array([274., 7., 5.])
zopt: array([274., 281., 286.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 18.70952235, 37.54787978]])
fopt: 0.2632927684046061
fun: -0.26269038465076494
message: 'Optimization terminated successfully.'
nfev: 503
nit: 7
status: 0
success: True
x: array([273.19194488, 21.00414996, 42.54018425])
xopt: array([273., 21., 42.])
zopt: array([273., 294., 336.])
*******************************************
Period: 25
direc: array([[5.94029099e-08, 2.18401832e-10, 4.36934946e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.18843822e-13, 3.68401328e-06, 3.68401328e-06]])
fopt: 0.17492068873306935
fun: -0.17398052419406418
message: 'Optimization terminated successfully.'
nfev: 357
nit: 3
status: 0
success: True
x: array([272.9890648 , 3.00000368, 4.00060479])
xopt: array([272., 4., 5.])
zopt: array([272., 276., 281.])
*******************************************
Period: 26
direc: array([[2.56676919e-01, 9.43893362e-04, 1.90088667e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.65231585e+00, 2.72048835e+01, 1.83492124e+01]])
fopt: 0.2649311339363119
fun: -0.2645791562621498
message: 'Optimization terminated successfully.'
nfev: 446
nit: 5
status: 0
success: True
x: array([279.02826696, 33.20571672, 24.4039502 ])
xopt: array([279., 33., 24.])
zopt: array([279., 312., 336.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 43.46245053, 41.96502156]])
fopt: 0.33014776928949247
fun: -0.32876048151243337
message: 'Optimization terminated successfully.'
nfev: 390
nit: 5
status: 0
success: True
x: array([274.31655442, 75.01503051, 74.20209545])
xopt: array([274., 75., 75.])
zopt: array([274., 349., 424.])
*******************************************
Period: 28
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.1880720411375532
fun: -0.18681799011235994
message: 'Optimization terminated successfully.'
nfev: 293
nit: 3
status: 0
success: True
x: array([332.94949147, 2. , 1.00177984])
xopt: array([332., 2., 2.])
zopt: array([332., 334., 336.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00763358, -0. , -0. ]])
fopt: 0.19045504489049594
fun: -0.19045504488989207
message: 'Optimization terminated successfully.'
nfev: 349
nit: 3
status: 0
success: True
x: array([333., 1., 2.])
xopt: array([333., 1., 2.])
zopt: array([333., 334., 336.])
*******************************************
Period: 30
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00111859, -0. , -0. ]])
fopt: 0.19403837460788573
fun: -0.19403837458434312
message: 'Optimization terminated successfully.'
nfev: 377
nit: 3
status: 0
success: True
x: array([333.00000001, 2. , 1. ])
xopt: array([333., 2., 1.])
zopt: array([333., 335., 336.])
*******************************************
Period: 31
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.2078065317387491
fun: -0.20538360376737858
message: 'Optimization terminated successfully.'
nfev: 253
nit: 3
status: 0
success: True
x: array([330.99999767, 2. , 3.00036541])
xopt: array([330., 2., 4.])
zopt: array([330., 332., 336.])
*******************************************
Period: 32
direc: array([[-2.99336862e+00, 0.00000000e+00, 2.06614235e+00],
[ 7.72754399e-01, 1.11472193e-01, 1.28519630e+02],
[-2.58509223e-08, -7.28792629e-04, 1.78433371e-08]])
fopt: 0.8170735012794542
fun: -0.814492202497209
message: 'Optimization terminated successfully.'
nfev: 773
nit: 9
status: 0
success: True
x: array([184.40284516, 2.18632114, 241.01213402])
xopt: array([184., 3., 242.])
zopt: array([184., 187., 429.])
*******************************************
Period: 33
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.22477418664818938
fun: -0.22308499867286066
message: 'Optimization terminated successfully.'
nfev: 297
nit: 3
status: 0
success: True
x: array([330.97664942, 2. , 3.01051478])
xopt: array([330., 2., 4.])
zopt: array([330., 332., 336.])
*******************************************
Period: 34
direc: array([[-3.56991717e+00, 2.06592424e+00, 2.06592424e+00],
[-6.30822227e-06, -6.81049801e-04, -1.37376676e-03],
[-1.17192306e-03, 3.03462133e+01, 7.17122846e-06]])
fopt: 0.8213793850550855
fun: -0.8167483440947008
message: 'Optimization terminated successfully.'
nfev: 854
nit: 11
status: 0
success: True
x: array([ 74.27175829, 186.00003108, 155. ])
xopt: array([ 75., 187., 156.])
zopt: array([ 75., 262., 418.])
*******************************************
Period: 35
direc: array([[-3.82024572e+00, 1.24429517e-10, 5.06339148e+00],
[-1.25597140e+01, 1.21164975e+01, 2.73549355e+01],
[ 7.01118938e-05, 9.00731761e-01, -9.29287878e-05]])
fopt: 0.8102698455363195
fun: -0.8107405151170555
message: 'Optimization terminated successfully.'
nfev: 756
nit: 8
status: 0
success: True
x: array([171.23605651, 15.00532646, 231.01325593])
xopt: array([171., 16., 231.])
zopt: array([171., 187., 418.])
*******************************************
Period: 36
direc: array([[-1.56629864e+02, 2.87895405e-03, 1.62056143e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 2.50258542e+00, 5.02814846e+00]])
fopt: 0.7981063347722976
fun: -0.7977403688593976
message: 'Optimization terminated successfully.'
nfev: 620
nit: 8
status: 0
success: True
x: array([159.54087298, 27.05593203, 233.29440988])
xopt: array([159., 28., 233.])
zopt: array([159., 187., 420.])
*******************************************
Period: 37
direc: array([[-149.05338892, 0. , 115.28703909],
[ 0. , 1. , 0. ],
[ -3.0408775 , 2.32555075, 7.00310286]])
fopt: 0.8050921937967677
fun: -0.8049828681427366
message: 'Optimization terminated successfully.'
nfev: 639
nit: 9
status: 0
success: True
x: array([138.11839604, 49.14198792, 237.00024789])
xopt: array([138., 49., 237.])
zopt: array([138., 187., 424.])
*******************************************
Period: 38
direc: array([[-4.36784884e-02, 9.98508127e-01, 1.01731362e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.98593952e+01, 6.31030413e+01, 8.54142567e+01]])
fopt: 0.7841647399292462
fun: -0.7837496241724483
message: 'Optimization terminated successfully.'
nfev: 662
nit: 8
status: 0
success: True
x: array([133.30288627, 69.05973875, 224.388752 ])
xopt: array([133., 69., 224.])
zopt: array([133., 202., 426.])
*******************************************
Period: 39
direc: array([[-2.92302681e+00, 7.67773332e-06, 2.12161166e+00],
[ 5.36607244e-02, 2.66550682e-03, 2.21662508e+00],
[-7.11422047e-07, 9.99999965e-01, -2.93875258e-05]])
fopt: 0.7614247176407194
fun: -0.7614335962711989
message: 'Optimization terminated successfully.'
nfev: 647
nit: 7
status: 0
success: True
x: array([183.58567289, 3.03025402, 235.22734803])
xopt: array([183., 4., 235.])
zopt: array([183., 187., 422.])
*******************************************
Period: 40
direc: array([[-2.85730066, 0. , 2.18146783],
[ 0. , 1. , 0. ],
[ 0.27750286, 14.6924723 , 93.89218566]])
fopt: 0.7590120662490363
fun: -0.7577676881583706
message: 'Optimization terminated successfully.'
nfev: 735
nit: 10
status: 0
success: True
x: array([168.68526184, 19.00305813, 229.0006109 ])
xopt: array([168., 19., 230.])
zopt: array([168., 187., 417.])
*******************************************
Period: 41
direc: array([[ 1.59167160e-07, 1.02685656e+00, 1.65819825e-05],
[-7.92517676e+01, 7.92701448e+01, 7.89065810e+01],
[ 9.27258079e-13, -3.47458861e-07, 1.32730392e-09]])
fopt: 0.7934621181032572
fun: -0.7937455117093436
message: 'Optimization terminated successfully.'
nfev: 1219
nit: 14
status: 0
success: True
x: array([100.1718423 , 87.0030412 , 239.01910799])
xopt: array([100., 87., 239.])
zopt: array([100., 187., 426.])
*******************************************
Period: 42
direc: array([[ 9.44617365e-06, -4.71076593e-05, -4.48194300e-05],
[-1.50642201e+02, 1.42883522e+00, 1.36208884e+02],
[-2.32810720e-01, 2.59330857e-04, 9.81033246e-01]])
fopt: 0.554714360631759
fun: -0.5518767999500115
message: 'Optimization terminated successfully.'
nfev: 1011
nit: 11
status: 0
success: True
x: array([177.6056341 , 7.00315637, 148.00166025])
xopt: array([178., 8., 149.])
zopt: array([178., 186., 335.])
*******************************************
Period: 43
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-56.87012544, -84.9443546 , 133.21627588]])
fopt: 0.5239679853470844
fun: -0.686901192575852
message: 'Optimization terminated successfully.'
nfev: 406
nit: 6
status: 0
success: True
x: array([240.80227524, -44.80227524, 221.0000732 ])
xopt: array([240., 0., 221.])
zopt: array([240., 240., 461.])
*******************************************
Period: 44
direc: array([[-9.60617015e-01, 0.00000000e+00, 2.00140467e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.10049117e+00, 1.24526752e-03, -1.06526833e-01]])
fopt: 0.705540736053068
fun: -0.7051022199409371
message: 'Optimization terminated successfully.'
nfev: 606
nit: 8
status: 0
success: True
x: array([191.99985998, 4.00015142, 221.00007705])
xopt: array([191., 5., 221.])
zopt: array([191., 196., 417.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6kw4b1us.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6hhs0lkj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.12782
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.12782
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3_g5ozsb.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmzpdaza_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30296
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.886763e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.8867632 2.88676 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.88676 1.30296
Optimal solution found (tolerance 1.00e-02)
Best objective 2.886763246769e+00, best bound 2.886763246769e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ubal500.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvnaum2r4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.88438
Presolve removed 118 rows and 86 columns
Presolve time: 0.00s
Presolved: 27 rows, 23 columns, 87 nonzeros
Variable types: 11 continuous, 12 integer (9 binary)
Root relaxation: objective 1.920569e+00, 12 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 cutoff 0 1.88438 1.88438 0.00% - 0s
Explored 0 nodes (12 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.88438
Optimal solution found (tolerance 1.00e-02)
Best objective 1.884376703957e+00, best bound 1.884376703957e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpup7efp87.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps_0ygjjm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27747
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.986279e+00, 33 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98628 0 8 1.27747 1.98628 55.5% - 0s
H 0 0 1.8772073 1.98628 5.81% - 0s
0 0 cutoff 0 1.87721 1.87721 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 1
Flow cover: 4
Flow path: 1
Explored 1 nodes (40 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.87721 1.27747
Optimal solution found (tolerance 1.00e-02)
Best objective 1.877207261666e+00, best bound 1.877207261666e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp37qsr5v1.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc0qtcvqy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39124
Presolve removed 145 rows and 100 columns
Presolve time: 0.01s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 1.918841e+00, 54 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91884 0 3 1.39124 1.91884 37.9% - 0s
H 0 0 1.7425505 1.91884 10.1% - 0s
0 0 cutoff 0 1.74255 1.74255 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (71 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.74255 1.39124
Optimal solution found (tolerance 1.00e-02)
Best objective 1.742550460893e+00, best bound 1.742550460893e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptlrcfr8_.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprcjolz8z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32184
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.245989e+00, 102 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24599 0 8 1.32184 2.24599 69.9% - 0s
0 0 2.00413 0 5 1.32184 2.00413 51.6% - 0s
0 0 2.00387 0 4 1.32184 2.00387 51.6% - 0s
0 0 1.95874 0 4 1.32184 1.95874 48.2% - 0s
0 0 1.95095 0 8 1.32184 1.95095 47.6% - 0s
0 0 1.94650 0 9 1.32184 1.94650 47.3% - 0s
0 0 1.93546 0 9 1.32184 1.93546 46.4% - 0s
0 0 1.90337 0 7 1.32184 1.90337 44.0% - 0s
0 0 1.90337 0 7 1.32184 1.90337 44.0% - 0s
H 0 0 1.6209164 1.90337 17.4% - 0s
0 2 1.76086 0 7 1.62092 1.76086 8.63% - 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 4
MIR: 3
Flow cover: 6
Explored 8 nodes (187 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62092 1.32184
Optimal solution found (tolerance 1.00e-02)
Best objective 1.620916394669e+00, best bound 1.620916394669e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp82f4871k.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppumn2la5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.33097
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.070421e+00, 128 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07042 0 10 1.33097 2.07042 55.6% - 0s
0 0 1.84678 0 14 1.33097 1.84678 38.8% - 0s
0 0 1.84672 0 14 1.33097 1.84672 38.8% - 0s
0 0 1.80371 0 16 1.33097 1.80371 35.5% - 0s
0 0 1.80367 0 18 1.33097 1.80367 35.5% - 0s
0 0 1.79604 0 20 1.33097 1.79604 34.9% - 0s
H 0 0 1.4488826 1.79604 24.0% - 0s
0 0 1.78335 0 20 1.44888 1.78335 23.1% - 0s
0 0 1.77629 0 19 1.44888 1.77629 22.6% - 0s
0 0 1.75161 0 18 1.44888 1.75161 20.9% - 0s
0 0 1.75161 0 16 1.44888 1.75161 20.9% - 0s
H 0 0 1.4708232 1.75161 19.1% - 0s
0 2 1.75161 0 14 1.47082 1.75161 19.1% - 0s
Cutting planes:
Gomory: 3
Implied bound: 4
MIR: 4
Flow cover: 8
Explored 27 nodes (385 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.47082 1.44888 1.33097
Optimal solution found (tolerance 1.00e-02)
Best objective 1.470823195948e+00, best bound 1.470823195948e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0xgp2iau.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnd0qfj_c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22763
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 1.985623e+00, 176 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98562 0 13 1.22763 1.98562 61.7% - 0s
H 0 0 1.2921537 1.98562 53.7% - 0s
0 0 1.75727 0 16 1.29215 1.75727 36.0% - 0s
0 0 1.75721 0 16 1.29215 1.75721 36.0% - 0s
0 0 1.69904 0 16 1.29215 1.69904 31.5% - 0s
0 0 1.69897 0 18 1.29215 1.69897 31.5% - 0s
0 0 1.68664 0 19 1.29215 1.68664 30.5% - 0s
0 0 1.67555 0 19 1.29215 1.67555 29.7% - 0s
0 0 1.67033 0 19 1.29215 1.67033 29.3% - 0s
0 0 1.65319 0 17 1.29215 1.65319 27.9% - 0s
0 0 1.65317 0 19 1.29215 1.65317 27.9% - 0s
0 0 1.64071 0 15 1.29215 1.64071 27.0% - 0s
0 0 1.64055 0 22 1.29215 1.64055 27.0% - 0s
0 0 1.64003 0 19 1.29215 1.64003 26.9% - 0s
0 0 1.64003 0 19 1.29215 1.64003 26.9% - 0s
0 2 1.53255 0 19 1.29215 1.53255 18.6% - 0s
* 29 7 10 1.4169820 1.45664 2.80% 4.8 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 8
MIR: 7
Flow cover: 17
Explored 43 nodes (507 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.41698 1.29215 1.22763
Optimal solution found (tolerance 1.00e-02)
Best objective 1.416982041667e+00, best bound 1.416982041667e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp885haq5w.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqkx9ld1k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18295
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.095564e+00, 212 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09556 0 17 1.18295 2.09556 77.1% - 0s
0 0 1.90076 0 25 1.18295 1.90076 60.7% - 0s
0 0 1.89717 0 26 1.18295 1.89717 60.4% - 0s
0 0 1.88139 0 22 1.18295 1.88139 59.0% - 0s
0 0 1.87628 0 25 1.18295 1.87628 58.6% - 0s
0 0 1.87556 0 26 1.18295 1.87556 58.5% - 0s
0 0 1.87552 0 26 1.18295 1.87552 58.5% - 0s
0 0 1.87487 0 26 1.18295 1.87487 58.5% - 0s
0 0 1.87487 0 26 1.18295 1.87487 58.5% - 0s
0 0 1.82411 0 26 1.18295 1.82411 54.2% - 0s
0 0 1.81911 0 26 1.18295 1.81911 53.8% - 0s
0 0 1.81790 0 26 1.18295 1.81790 53.7% - 0s
0 0 1.81716 0 27 1.18295 1.81716 53.6% - 0s
0 0 1.80204 0 25 1.18295 1.80204 52.3% - 0s
0 0 1.79278 0 25 1.18295 1.79278 51.6% - 0s
0 0 1.79086 0 26 1.18295 1.79086 51.4% - 0s
0 0 1.79062 0 26 1.18295 1.79062 51.4% - 0s
0 0 1.79062 0 27 1.18295 1.79062 51.4% - 0s
0 0 1.79000 0 26 1.18295 1.79000 51.3% - 0s
0 0 1.78995 0 27 1.18295 1.78995 51.3% - 0s
0 0 1.78504 0 26 1.18295 1.78504 50.9% - 0s
0 0 1.78066 0 22 1.18295 1.78066 50.5% - 0s
0 0 1.78034 0 22 1.18295 1.78034 50.5% - 0s
0 0 1.78034 0 22 1.18295 1.78034 50.5% - 0s
0 0 1.77096 0 24 1.18295 1.77096 49.7% - 0s
0 0 1.76775 0 25 1.18295 1.76775 49.4% - 0s
0 0 1.76206 0 24 1.18295 1.76206 49.0% - 0s
0 0 1.76136 0 24 1.18295 1.76136 48.9% - 0s
0 0 1.76136 0 24 1.18295 1.76136 48.9% - 0s
0 0 1.76136 0 24 1.18295 1.76136 48.9% - 0s
0 0 1.76136 0 24 1.18295 1.76136 48.9% - 0s
0 2 1.76136 0 24 1.18295 1.76136 48.9% - 0s
* 38 14 16 1.4333960 1.57973 10.2% 6.2 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 14
Clique: 1
MIR: 7
Flow cover: 16
Flow path: 1
Explored 127 nodes (1111 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.4334 1.18295
Optimal solution found (tolerance 1.00e-02)
Best objective 1.433395957007e+00, best bound 1.433395957007e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjpkizx7i.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfag7oud4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21307
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.076479e+00, 189 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07648 0 19 1.21307 2.07648 71.2% - 0s
0 0 1.88468 0 31 1.21307 1.88468 55.4% - 0s
0 0 1.88416 0 31 1.21307 1.88416 55.3% - 0s
0 0 1.85167 0 21 1.21307 1.85167 52.6% - 0s
0 0 1.82438 0 21 1.21307 1.82438 50.4% - 0s
0 0 1.82079 0 22 1.21307 1.82079 50.1% - 0s
0 0 1.82079 0 22 1.21307 1.82079 50.1% - 0s
0 0 1.81761 0 24 1.21307 1.81761 49.8% - 0s
0 0 1.81661 0 24 1.21307 1.81661 49.8% - 0s
0 0 1.81661 0 24 1.21307 1.81661 49.8% - 0s
0 0 1.81562 0 21 1.21307 1.81562 49.7% - 0s
0 0 1.81556 0 21 1.21307 1.81556 49.7% - 0s
0 0 1.81178 0 22 1.21307 1.81178 49.4% - 0s
0 0 1.81177 0 22 1.21307 1.81177 49.4% - 0s
0 0 1.80847 0 22 1.21307 1.80847 49.1% - 0s
0 0 1.80847 0 22 1.21307 1.80847 49.1% - 0s
0 0 1.80847 0 22 1.21307 1.80847 49.1% - 0s
0 0 1.80847 0 22 1.21307 1.80847 49.1% - 0s
0 2 1.80847 0 22 1.21307 1.80847 49.1% - 0s
* 70 14 21 1.4083944 1.63472 16.1% 5.1 0s
* 123 5 17 1.4163505 1.50848 6.50% 4.9 0s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 12
MIR: 2
Flow cover: 19
Flow path: 1
Explored 156 nodes (1203 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.41635 1.40839 1.21307
Optimal solution found (tolerance 1.00e-02)
Best objective 1.416350482209e+00, best bound 1.419734946950e+00, gap 0.2390%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw74hms0k.pyomo.lp
Reading time = 0.01 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfbi5a67c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23955
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.010676e+00, 244 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01068 0 21 1.23955 2.01068 62.2% - 0s
0 0 1.79985 0 37 1.23955 1.79985 45.2% - 0s
0 0 1.79926 0 39 1.23955 1.79926 45.2% - 0s
0 0 1.74065 0 21 1.23955 1.74065 40.4% - 0s
0 0 1.71330 0 16 1.23955 1.71330 38.2% - 0s
0 0 1.71261 0 16 1.23955 1.71261 38.2% - 0s
0 0 1.71261 0 17 1.23955 1.71261 38.2% - 0s
0 0 1.70874 0 17 1.23955 1.70874 37.9% - 0s
0 0 1.70874 0 18 1.23955 1.70874 37.9% - 0s
0 0 1.70753 0 21 1.23955 1.70753 37.8% - 0s
0 0 1.70753 0 19 1.23955 1.70753 37.8% - 0s
H 0 0 1.3725623 1.70753 24.4% - 0s
0 2 1.70753 0 19 1.37256 1.70753 24.4% - 0s
Cutting planes:
Gomory: 6
Cover: 3
Implied bound: 18
MIR: 3
Flow cover: 21
Inf proof: 4
Explored 261 nodes (2028 simplex iterations) in 0.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.37256 1.23955
Optimal solution found (tolerance 1.00e-02)
Best objective 1.372562316476e+00, best bound 1.372562316476e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgf9dqp9r.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvkrdyuuh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20195
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.049786e+00, 244 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04979 0 24 1.20195 2.04979 70.5% - 0s
H 0 0 1.2841213 2.04979 59.6% - 0s
0 0 1.82313 0 39 1.28412 1.82313 42.0% - 0s
0 0 1.82068 0 40 1.28412 1.82068 41.8% - 0s
0 0 1.79116 0 41 1.28412 1.79116 39.5% - 0s
0 0 1.78840 0 41 1.28412 1.78840 39.3% - 0s
0 0 1.78839 0 41 1.28412 1.78839 39.3% - 0s
0 0 1.77213 0 44 1.28412 1.77213 38.0% - 0s
0 0 1.76832 0 45 1.28412 1.76832 37.7% - 0s
0 0 1.76813 0 47 1.28412 1.76813 37.7% - 0s
0 0 1.76777 0 47 1.28412 1.76777 37.7% - 0s
0 0 1.75593 0 49 1.28412 1.75593 36.7% - 0s
0 0 1.75296 0 43 1.28412 1.75296 36.5% - 0s
0 0 1.75091 0 44 1.28412 1.75091 36.4% - 0s
0 0 1.74157 0 43 1.28412 1.74157 35.6% - 0s
0 0 1.73896 0 44 1.28412 1.73896 35.4% - 0s
0 0 1.73699 0 44 1.28412 1.73699 35.3% - 0s
0 0 1.73676 0 44 1.28412 1.73676 35.2% - 0s
0 0 1.73082 0 47 1.28412 1.73082 34.8% - 0s
0 0 1.73031 0 45 1.28412 1.73031 34.7% - 0s
0 0 1.73028 0 47 1.28412 1.73028 34.7% - 0s
0 0 1.72990 0 46 1.28412 1.72990 34.7% - 0s
0 0 1.72990 0 46 1.28412 1.72990 34.7% - 0s
0 2 1.72990 0 46 1.28412 1.72990 34.7% - 0s
* 208 56 24 1.4002547 1.48358 5.95% 6.5 0s
Cutting planes:
Gomory: 12
Cover: 4
Implied bound: 24
Clique: 2
MIR: 9
Flow cover: 36
Flow path: 1
Inf proof: 2
Explored 426 nodes (2830 simplex iterations) in 0.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.40025 1.28412 1.20195
Optimal solution found (tolerance 1.00e-02)
Best objective 1.400254730129e+00, best bound 1.400254730129e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzb5nlu25.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzpci__80.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28604
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 1.890385e+00, 326 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89038 0 25 1.28604 1.89038 47.0% - 0s
0 0 1.65880 0 29 1.28604 1.65880 29.0% - 0s
0 0 1.65838 0 29 1.28604 1.65838 29.0% - 0s
0 0 1.65630 0 30 1.28604 1.65630 28.8% - 0s
0 0 1.65566 0 30 1.28604 1.65566 28.7% - 0s
0 0 1.62812 0 32 1.28604 1.62812 26.6% - 0s
0 0 1.62757 0 32 1.28604 1.62757 26.6% - 0s
0 0 1.61142 0 35 1.28604 1.61142 25.3% - 0s
0 0 1.60900 0 39 1.28604 1.60900 25.1% - 0s
0 0 1.60803 0 43 1.28604 1.60803 25.0% - 0s
0 0 1.60788 0 39 1.28604 1.60788 25.0% - 0s
0 0 1.58751 0 38 1.28604 1.58751 23.4% - 0s
0 0 1.58736 0 40 1.28604 1.58736 23.4% - 0s
0 0 1.58364 0 37 1.28604 1.58364 23.1% - 0s
0 0 1.58247 0 39 1.28604 1.58247 23.0% - 0s
0 0 1.58245 0 42 1.28604 1.58245 23.0% - 0s
0 0 1.57899 0 40 1.28604 1.57899 22.8% - 0s
0 0 1.57868 0 40 1.28604 1.57868 22.8% - 0s
0 0 1.57732 0 33 1.28604 1.57732 22.6% - 0s
0 0 1.57707 0 36 1.28604 1.57707 22.6% - 0s
0 0 1.57700 0 34 1.28604 1.57700 22.6% - 0s
0 0 1.57689 0 29 1.28604 1.57689 22.6% - 0s
0 0 1.57689 0 28 1.28604 1.57689 22.6% - 0s
0 0 1.57689 0 29 1.28604 1.57689 22.6% - 0s
0 0 1.57689 0 24 1.28604 1.57689 22.6% - 0s
0 2 1.57689 0 24 1.28604 1.57689 22.6% - 0s
Cutting planes:
Gomory: 11
Cover: 6
Implied bound: 25
Clique: 1
MIR: 8
Flow cover: 29
Inf proof: 11
Explored 694 nodes (4380 simplex iterations) in 0.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.28604
Optimal solution found (tolerance 1.00e-02)
Best objective 1.286041224445e+00, best bound 1.286041224445e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpypddwf4w.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8cp8fnlf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10685
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.112632e+00, 310 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11263 0 31 1.10685 2.11263 90.9% - 0s
0 0 1.88261 0 41 1.10685 1.88261 70.1% - 0s
0 0 1.88113 0 41 1.10685 1.88113 70.0% - 0s
0 0 1.83613 0 41 1.10685 1.83613 65.9% - 0s
0 0 1.83567 0 41 1.10685 1.83567 65.8% - 0s
0 0 1.82063 0 41 1.10685 1.82063 64.5% - 0s
0 0 1.81743 0 40 1.10685 1.81743 64.2% - 0s
0 0 1.81722 0 42 1.10685 1.81722 64.2% - 0s
0 0 1.81694 0 42 1.10685 1.81694 64.2% - 0s
0 0 1.81089 0 42 1.10685 1.81089 63.6% - 0s
0 0 1.80871 0 45 1.10685 1.80871 63.4% - 0s
0 0 1.80871 0 45 1.10685 1.80871 63.4% - 0s
0 0 1.79016 0 49 1.10685 1.79016 61.7% - 0s
0 0 1.79015 0 49 1.10685 1.79015 61.7% - 0s
0 0 1.78901 0 51 1.10685 1.78901 61.6% - 0s
0 0 1.78901 0 51 1.10685 1.78901 61.6% - 0s
0 2 1.78901 0 46 1.10685 1.78901 61.6% - 0s
* 441 184 33 1.1695800 1.54916 32.5% 5.5 0s
* 662 140 30 1.2574854 1.52492 21.3% 5.4 0s
* 768 131 34 1.2776134 1.50762 18.0% 5.3 0s
* 1176 0 32 1.2823463 1.29717 1.16% 5.5 0s
Cutting planes:
Gomory: 14
Cover: 6
Implied bound: 28
Clique: 1
MIR: 9
Flow cover: 37
Flow path: 1
Inf proof: 17
Explored 1205 nodes (7236 simplex iterations) in 0.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.28235 1.27761 1.25749 ... 1.10685
Optimal solution found (tolerance 1.00e-02)
Best objective 1.282346273418e+00, best bound 1.282346273418e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8nni1kt0.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8entmhko.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16959
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.036337e+00, 377 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03634 0 34 1.16959 2.03634 74.1% - 0s
0 0 1.80433 0 31 1.16959 1.80433 54.3% - 0s
0 0 1.80251 0 31 1.16959 1.80251 54.1% - 0s
0 0 1.76835 0 39 1.16959 1.76835 51.2% - 0s
0 0 1.76629 0 37 1.16959 1.76629 51.0% - 0s
0 0 1.74559 0 40 1.16959 1.74559 49.2% - 0s
0 0 1.74559 0 38 1.16959 1.74559 49.2% - 0s
0 0 1.73306 0 37 1.16959 1.73306 48.2% - 0s
0 0 1.73300 0 40 1.16959 1.73300 48.2% - 0s
0 0 1.73131 0 40 1.16959 1.73131 48.0% - 0s
0 0 1.73131 0 33 1.16959 1.73131 48.0% - 0s
0 2 1.73131 0 33 1.16959 1.73131 48.0% - 0s
* 282 124 40 1.2215893 1.54587 26.5% 7.5 0s
* 1076 245 39 1.2252814 1.43370 17.0% 5.7 0s
Cutting planes:
Gomory: 17
Cover: 11
Implied bound: 26
Clique: 1
MIR: 10
Flow cover: 34
Inf proof: 33
Explored 2071 nodes (11869 simplex iterations) in 1.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22528 1.22159 1.16959
Optimal solution found (tolerance 1.00e-02)
Best objective 1.225281377926e+00, best bound 1.225281377926e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnx0h1ez1.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5dksppry.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11385
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.947433e+00, 419 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94743 0 37 1.11385 1.94743 74.8% - 0s
0 0 1.72568 0 36 1.11385 1.72568 54.9% - 0s
0 0 1.72432 0 36 1.11385 1.72432 54.8% - 0s
0 0 1.72415 0 36 1.11385 1.72415 54.8% - 0s
0 0 1.69106 0 45 1.11385 1.69106 51.8% - 0s
0 0 1.69102 0 46 1.11385 1.69102 51.8% - 0s
0 0 1.67465 0 48 1.11385 1.67465 50.3% - 0s
0 0 1.67321 0 48 1.11385 1.67321 50.2% - 0s
0 0 1.66419 0 48 1.11385 1.66419 49.4% - 0s
0 0 1.66305 0 46 1.11385 1.66305 49.3% - 0s
0 0 1.66294 0 47 1.11385 1.66294 49.3% - 0s
0 0 1.66161 0 47 1.11385 1.66161 49.2% - 0s
0 0 1.66105 0 49 1.11385 1.66105 49.1% - 0s
0 0 1.66105 0 49 1.11385 1.66105 49.1% - 0s
0 0 1.65902 0 50 1.11385 1.65902 48.9% - 0s
0 0 1.65794 0 51 1.11385 1.65794 48.8% - 0s
0 0 1.65770 0 54 1.11385 1.65770 48.8% - 0s
0 0 1.65596 0 48 1.11385 1.65596 48.7% - 0s
0 0 1.65591 0 47 1.11385 1.65591 48.7% - 0s
0 0 1.65240 0 52 1.11385 1.65240 48.4% - 0s
0 0 1.65140 0 51 1.11385 1.65140 48.3% - 0s
0 0 1.65136 0 52 1.11385 1.65136 48.3% - 0s
0 0 1.64986 0 50 1.11385 1.64986 48.1% - 0s
0 0 1.64986 0 50 1.11385 1.64986 48.1% - 0s
0 0 1.64985 0 50 1.11385 1.64985 48.1% - 0s
0 0 1.64985 0 50 1.11385 1.64985 48.1% - 0s
0 2 1.64985 0 50 1.11385 1.64985 48.1% - 0s
* 1084 320 35 1.1240114 1.37657 22.5% 6.2 0s
* 1244 314 35 1.1702310 1.34986 15.3% 6.1 0s
Cutting planes:
Gomory: 15
Cover: 14
Implied bound: 34
Clique: 3
MIR: 18
Flow cover: 49
Inf proof: 30
Explored 1980 nodes (13167 simplex iterations) in 1.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.17023 1.12401 1.11385
Optimal solution found (tolerance 1.00e-02)
Best objective 1.170230959243e+00, best bound 1.179842756485e+00, gap 0.8214%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpalin7kry.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppcei50r7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07288
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.954924e+00, 435 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95492 0 40 1.07288 1.95492 82.2% - 0s
0 0 1.73742 0 40 1.07288 1.73742 61.9% - 0s
0 0 1.73627 0 42 1.07288 1.73627 61.8% - 0s
0 0 1.73615 0 42 1.07288 1.73615 61.8% - 0s
0 0 1.69675 0 47 1.07288 1.69675 58.1% - 0s
0 0 1.69445 0 45 1.07288 1.69445 57.9% - 0s
0 0 1.69445 0 45 1.07288 1.69445 57.9% - 0s
0 0 1.66607 0 46 1.07288 1.66607 55.3% - 0s
0 0 1.66571 0 46 1.07288 1.66571 55.3% - 0s
0 0 1.66490 0 52 1.07288 1.66490 55.2% - 0s
0 0 1.66490 0 52 1.07288 1.66490 55.2% - 0s
0 2 1.66490 0 47 1.07288 1.66490 55.2% - 0s
* 313 153 54 1.1415550 1.45741 27.7% 7.6 0s
Cutting planes:
Gomory: 16
Cover: 7
Implied bound: 28
Clique: 2
MIR: 8
Flow cover: 37
Inf proof: 29
Explored 2746 nodes (18522 simplex iterations) in 1.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.14156 1.07288
Optimal solution found (tolerance 1.00e-02)
Best objective 1.141555027171e+00, best bound 1.141555027171e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5z6yy6ge.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt5d4p2nj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07684
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.846004e+00, 473 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84600 0 41 1.07684 1.84600 71.4% - 0s
0 0 1.64012 0 41 1.07684 1.64012 52.3% - 0s
0 0 1.63895 0 42 1.07684 1.63895 52.2% - 0s
0 0 1.63815 0 44 1.07684 1.63815 52.1% - 0s
0 0 1.63815 0 44 1.07684 1.63815 52.1% - 0s
0 0 1.63383 0 56 1.07684 1.63383 51.7% - 0s
0 0 1.63311 0 53 1.07684 1.63311 51.7% - 0s
0 0 1.63310 0 55 1.07684 1.63310 51.7% - 0s
0 0 1.62926 0 52 1.07684 1.62926 51.3% - 0s
0 0 1.62924 0 52 1.07684 1.62924 51.3% - 0s
0 0 1.61531 0 50 1.07684 1.61531 50.0% - 0s
0 0 1.61501 0 49 1.07684 1.61501 50.0% - 0s
0 0 1.61312 0 48 1.07684 1.61312 49.8% - 0s
0 0 1.61312 0 48 1.07684 1.61312 49.8% - 0s
0 0 1.61176 0 48 1.07684 1.61176 49.7% - 0s
0 0 1.61176 0 40 1.07684 1.61176 49.7% - 0s
0 2 1.61176 0 40 1.07684 1.61176 49.7% - 0s
Cutting planes:
Gomory: 24
Cover: 5
Implied bound: 12
Projected implied bound: 19
MIR: 8
Flow cover: 47
Flow path: 1
Inf proof: 8
Explored 1911 nodes (17285 simplex iterations) in 1.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.07684
Optimal solution found (tolerance 1.00e-02)
Best objective 1.076836054883e+00, best bound 1.076836054883e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ohy_vaj.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo8fx3yhj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.965841
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.896498e+00, 506 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89650 0 47 0.96584 1.89650 96.4% - 0s
0 0 1.68582 0 51 0.96584 1.68582 74.5% - 0s
0 0 1.68495 0 51 0.96584 1.68495 74.5% - 0s
0 0 1.68485 0 51 0.96584 1.68485 74.4% - 0s
0 0 1.66369 0 60 0.96584 1.66369 72.3% - 0s
0 0 1.66299 0 56 0.96584 1.66299 72.2% - 0s
0 0 1.65218 0 55 0.96584 1.65218 71.1% - 0s
0 0 1.65218 0 55 0.96584 1.65218 71.1% - 0s
0 0 1.64746 0 57 0.96584 1.64746 70.6% - 0s
0 0 1.64741 0 57 0.96584 1.64741 70.6% - 0s
0 0 1.64168 0 60 0.96584 1.64168 70.0% - 0s
0 0 1.64116 0 61 0.96584 1.64116 69.9% - 0s
0 0 1.64068 0 60 0.96584 1.64068 69.9% - 0s
0 0 1.63786 0 60 0.96584 1.63786 69.6% - 0s
0 0 1.63736 0 64 0.96584 1.63736 69.5% - 0s
0 0 1.63727 0 66 0.96584 1.63727 69.5% - 0s
0 0 1.63562 0 68 0.96584 1.63562 69.3% - 0s
0 0 1.63555 0 65 0.96584 1.63555 69.3% - 0s
0 0 1.63352 0 65 0.96584 1.63352 69.1% - 0s
0 0 1.63351 0 65 0.96584 1.63351 69.1% - 0s
0 0 1.63346 0 65 0.96584 1.63346 69.1% - 0s
0 0 1.63346 0 65 0.96584 1.63346 69.1% - 0s
0 2 1.63346 0 65 0.96584 1.63346 69.1% - 0s
* 1231 419 68 0.9973667 1.34662 35.0% 9.1 2s
* 1952 296 56 1.0022796 1.20374 20.1% 8.9 2s
Cutting planes:
Gomory: 24
Cover: 8
Implied bound: 27
Projected implied bound: 15
Clique: 1
MIR: 7
Flow cover: 55
Inf proof: 28
Zero half: 1
Explored 3090 nodes (28716 simplex iterations) in 3.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.00228 0.997367 0.965841
Optimal solution found (tolerance 1.00e-02)
Best objective 1.002279553657e+00, best bound 1.002279553657e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqv7ntc5z.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphufwrx3x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.918053
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.832223e+00, 539 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83222 0 50 0.91805 1.83222 100% - 0s
0 0 1.62673 0 54 0.91805 1.62673 77.2% - 0s
0 0 1.62592 0 54 0.91805 1.62592 77.1% - 0s
0 0 1.62587 0 54 0.91805 1.62587 77.1% - 0s
0 0 1.60452 0 66 0.91805 1.60452 74.8% - 0s
0 0 1.60139 0 63 0.91805 1.60139 74.4% - 0s
0 0 1.60139 0 63 0.91805 1.60139 74.4% - 0s
0 0 1.59020 0 70 0.91805 1.59020 73.2% - 0s
0 0 1.58945 0 69 0.91805 1.58945 73.1% - 0s
0 0 1.58945 0 70 0.91805 1.58945 73.1% - 0s
0 0 1.58449 0 72 0.91805 1.58449 72.6% - 0s
0 0 1.58440 0 71 0.91805 1.58440 72.6% - 0s
0 0 1.57959 0 70 0.91805 1.57959 72.1% - 0s
0 0 1.57873 0 72 0.91805 1.57873 72.0% - 0s
0 0 1.57864 0 75 0.91805 1.57864 72.0% - 0s
0 0 1.57801 0 74 0.91805 1.57801 71.9% - 0s
0 0 1.57801 0 74 0.91805 1.57801 71.9% - 0s
0 2 1.57801 0 61 0.91805 1.57801 71.9% - 0s
* 1728 437 66 0.9396895 1.30792 39.2% 10.8 3s
* 1803 401 60 0.9427534 1.30743 38.7% 10.5 3s
H 2053 357 0.9446610 1.25770 33.1% 10.4 3s
* 2121 362 65 0.9606729 1.24050 29.1% 10.3 4s
Cutting planes:
Gomory: 45
Cover: 8
Implied bound: 28
Projected implied bound: 19
Clique: 3
MIR: 21
Flow cover: 38
Flow path: 2
Inf proof: 23
Explored 3313 nodes (30926 simplex iterations) in 4.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.960673 0.944661 0.942753 ... 0.918053
Optimal solution found (tolerance 1.00e-02)
Best objective 9.606729211153e-01, best bound 9.606729211153e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5cn1mo7p.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphnqxzjak.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878977
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.799853e+00, 575 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79985 0 54 0.87898 1.79985 105% - 0s
0 0 1.59285 0 57 0.87898 1.59285 81.2% - 0s
0 0 1.59213 0 57 0.87898 1.59213 81.1% - 0s
0 0 1.59129 0 60 0.87898 1.59129 81.0% - 0s
0 0 1.58884 0 73 0.87898 1.58884 80.8% - 0s
0 0 1.58832 0 69 0.87898 1.58832 80.7% - 0s
0 0 1.58630 0 72 0.87898 1.58630 80.5% - 0s
0 0 1.58630 0 76 0.87898 1.58630 80.5% - 0s
0 0 1.58235 0 75 0.87898 1.58235 80.0% - 0s
0 0 1.58048 0 72 0.87898 1.58048 79.8% - 0s
0 0 1.58048 0 72 0.87898 1.58048 79.8% - 0s
0 0 1.56249 0 71 0.87898 1.56249 77.8% - 0s
0 0 1.56137 0 70 0.87898 1.56137 77.6% - 0s
0 0 1.56114 0 72 0.87898 1.56114 77.6% - 0s
0 0 1.56046 0 73 0.87898 1.56046 77.5% - 0s
0 0 1.56020 0 73 0.87898 1.56020 77.5% - 0s
0 0 1.56014 0 71 0.87898 1.56014 77.5% - 0s
0 0 1.55905 0 70 0.87898 1.55905 77.4% - 0s
0 0 1.55905 0 57 0.87898 1.55905 77.4% - 0s
0 2 1.55905 0 57 0.87898 1.55905 77.4% - 0s
H 1376 472 0.9262253 1.31745 42.2% 11.3 3s
2926 402 1.02654 40 28 0.92623 1.15589 24.8% 10.9 5s
Cutting planes:
Gomory: 29
Cover: 5
Implied bound: 25
Projected implied bound: 29
MIR: 15
Flow cover: 56
Flow path: 1
Inf proof: 48
Explored 3985 nodes (40911 simplex iterations) in 6.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.926225 0.878977
Optimal solution found (tolerance 1.00e-02)
Best objective 9.262252669565e-01, best bound 9.262252669565e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph5wqlumh.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdqvfu29v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.940142
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.766910e+00, 580 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76691 0 58 0.94014 1.76691 87.9% - 0s
0 0 1.58906 0 65 0.94014 1.58906 69.0% - 0s
0 0 1.58830 0 67 0.94014 1.58830 68.9% - 0s
0 0 1.58823 0 66 0.94014 1.58823 68.9% - 0s
0 0 1.53259 0 84 0.94014 1.53259 63.0% - 0s
0 0 1.52838 0 83 0.94014 1.52838 62.6% - 0s
0 0 1.52838 0 84 0.94014 1.52838 62.6% - 0s
0 0 1.51165 0 77 0.94014 1.51165 60.8% - 0s
0 0 1.51002 0 77 0.94014 1.51002 60.6% - 0s
0 0 1.51002 0 77 0.94014 1.51002 60.6% - 0s
0 0 1.49363 0 79 0.94014 1.49363 58.9% - 0s
0 0 1.49307 0 82 0.94014 1.49307 58.8% - 0s
0 0 1.49307 0 82 0.94014 1.49307 58.8% - 0s
0 0 1.49307 0 82 0.94014 1.49307 58.8% - 0s
0 2 1.49307 0 67 0.94014 1.49307 58.8% - 0s
* 3359 0 77 0.9501183 0.96421 1.48% 9.0 4s
Cutting planes:
Gomory: 35
Cover: 2
Implied bound: 27
Projected implied bound: 22
MIR: 22
Flow cover: 67
Inf proof: 28
Explored 3413 nodes (31978 simplex iterations) in 4.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.950118 0.940142
Optimal solution found (tolerance 1.00e-02)
Best objective 9.501183172867e-01, best bound 9.585339927976e-01, gap 0.8858%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdgku3h_m.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm2ewc4xz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.962266
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.808072e+00, 607 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80807 0 54 0.96227 1.80807 87.9% - 0s
0 0 1.61710 0 65 0.96227 1.61710 68.1% - 0s
0 0 1.61701 0 64 0.96227 1.61701 68.0% - 0s
0 0 1.60442 0 81 0.96227 1.60442 66.7% - 0s
0 0 1.59194 0 83 0.96227 1.59194 65.4% - 0s
0 0 1.59142 0 86 0.96227 1.59142 65.4% - 0s
0 0 1.57445 0 81 0.96227 1.57445 63.6% - 0s
0 0 1.57161 0 81 0.96227 1.57161 63.3% - 0s
0 0 1.56881 0 81 0.96227 1.56881 63.0% - 0s
0 0 1.56757 0 89 0.96227 1.56757 62.9% - 0s
0 0 1.56716 0 88 0.96227 1.56716 62.9% - 0s
0 0 1.56711 0 87 0.96227 1.56711 62.9% - 0s
0 0 1.56685 0 89 0.96227 1.56685 62.8% - 0s
0 0 1.56685 0 89 0.96227 1.56685 62.8% - 0s
0 2 1.56685 0 74 0.96227 1.56685 62.8% - 0s
* 568 341 89 0.9832899 1.36908 39.2% 9.1 0s
3278 217 infeasible 38 0.98329 1.05871 7.67% 12.2 5s
Cutting planes:
Gomory: 46
Cover: 2
Implied bound: 21
Projected implied bound: 30
Clique: 1
MIR: 12
Flow cover: 70
Inf proof: 18
Explored 3657 nodes (43501 simplex iterations) in 5.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.98329 0.962266
Optimal solution found (tolerance 1.00e-02)
Best objective 9.832898608264e-01, best bound 9.832898608264e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuzj4a3sn.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqvb1gwdx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95568
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.776099e+00, 631 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77610 0 61 0.95568 1.77610 85.8% - 0s
0 0 1.60815 0 71 0.95568 1.60815 68.3% - 0s
0 0 1.60751 0 73 0.95568 1.60751 68.2% - 0s
0 0 1.57474 0 77 0.95568 1.57474 64.8% - 0s
0 0 1.57315 0 71 0.95568 1.57315 64.6% - 0s
0 0 1.57313 0 73 0.95568 1.57313 64.6% - 0s
0 0 1.56607 0 67 0.95568 1.56607 63.9% - 0s
0 0 1.56517 0 73 0.95568 1.56517 63.8% - 0s
0 0 1.56517 0 75 0.95568 1.56517 63.8% - 0s
0 0 1.56466 0 76 0.95568 1.56466 63.7% - 0s
0 0 1.56465 0 77 0.95568 1.56465 63.7% - 0s
0 0 1.56368 0 75 0.95568 1.56368 63.6% - 0s
0 0 1.56368 0 75 0.95568 1.56368 63.6% - 0s
0 2 1.56368 0 66 0.95568 1.56368 63.6% - 0s
H 2930 509 0.9599617 1.18044 23.0% 11.7 4s
3665 260 infeasible 40 0.95996 1.10694 15.3% 11.7 5s
* 4050 177 91 0.9640406 1.03510 7.37% 11.4 5s
* 4368 0 85 0.9654595 0.97638 1.13% 11.1 5s
* 4406 0 85 0.9663086 0.96909 0.29% 11.0 5s
Cutting planes:
Gomory: 25
Cover: 1
Implied bound: 25
Projected implied bound: 39
Clique: 1
MIR: 17
Flow cover: 88
Flow path: 1
Inf proof: 28
Explored 4413 nodes (49783 simplex iterations) in 5.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.966309 0.965459 0.964041 ... 0.95568
Optimal solution found (tolerance 1.00e-02)
Best objective 9.663086379994e-01, best bound 9.690892874564e-01, gap 0.2878%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu58gfpx8.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpraylrp13.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.959722
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.748564e+00, 676 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74856 0 64 0.95972 1.74856 82.2% - 0s
0 0 1.69083 0 78 0.95972 1.69083 76.2% - 0s
0 0 1.69020 0 78 0.95972 1.69020 76.1% - 0s
0 0 1.65260 0 91 0.95972 1.65260 72.2% - 0s
0 0 1.65224 0 86 0.95972 1.65224 72.2% - 0s
0 0 1.64720 0 85 0.95972 1.64720 71.6% - 0s
0 0 1.64684 0 86 0.95972 1.64684 71.6% - 0s
0 0 1.64216 0 96 0.95972 1.64216 71.1% - 0s
0 0 1.64216 0 96 0.95972 1.64216 71.1% - 0s
0 0 1.64193 0 94 0.95972 1.64193 71.1% - 0s
0 0 1.64193 0 94 0.95972 1.64193 71.1% - 0s
0 0 1.64154 0 94 0.95972 1.64154 71.0% - 0s
0 0 1.64154 0 84 0.95972 1.64154 71.0% - 0s
0 2 1.64154 0 83 0.95972 1.64154 71.0% - 0s
* 3569 517 87 0.9601536 1.07896 12.4% 7.8 3s
* 3849 630 80 0.9623465 1.07454 11.7% 7.6 3s
* 4155 540 77 0.9659234 1.06090 9.83% 7.3 3s
* 4633 297 78 0.9677335 1.02315 5.73% 6.9 3s
* 4918 180 77 0.9682801 0.99725 2.99% 6.7 4s
H 5018 67 0.9716222 0.98788 1.67% 6.7 4s
Explored 5035 nodes (34976 simplex iterations) in 4.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.971622 0.96828 0.967733 ... 0.959722
Optimal solution found (tolerance 1.00e-02)
Best objective 9.716222404350e-01, best bound 9.807623518533e-01, gap 0.9407%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5y8j21d4.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsye6hb3s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.951703
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.701974e+00, 678 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70197 0 62 0.95170 1.70197 78.8% - 0s
0 0 1.64681 0 76 0.95170 1.64681 73.0% - 0s
0 0 1.64620 0 76 0.95170 1.64620 73.0% - 0s
0 0 1.62446 0 90 0.95170 1.62446 70.7% - 0s
0 0 1.62176 0 85 0.95170 1.62176 70.4% - 0s
0 0 1.61483 0 83 0.95170 1.61483 69.7% - 0s
0 0 1.61326 0 89 0.95170 1.61326 69.5% - 0s
0 0 1.61233 0 93 0.95170 1.61233 69.4% - 0s
0 0 1.61224 0 93 0.95170 1.61224 69.4% - 0s
0 0 1.60829 0 93 0.95170 1.60829 69.0% - 0s
0 0 1.60808 0 95 0.95170 1.60808 69.0% - 0s
0 0 1.60402 0 86 0.95170 1.60402 68.5% - 0s
0 0 1.60377 0 91 0.95170 1.60377 68.5% - 0s
0 0 1.60373 0 91 0.95170 1.60373 68.5% - 0s
0 0 1.60373 0 90 0.95170 1.60373 68.5% - 0s
0 0 1.60373 0 82 0.95170 1.60373 68.5% - 0s
0 2 1.60373 0 80 0.95170 1.60373 68.5% - 0s
* 2890 463 75 0.9517512 1.10972 16.6% 8.1 3s
H 3460 329 0.9567217 1.04746 9.48% 7.6 3s
* 3481 325 81 0.9582427 1.04746 9.31% 7.6 3s
* 3816 67 70 0.9628523 0.99559 3.40% 7.4 4s
* 3817 57 70 0.9653704 0.99559 3.13% 7.4 4s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 10
Clique: 1
MIR: 9
Flow cover: 21
Inf proof: 3
Explored 3978 nodes (30307 simplex iterations) in 4.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.96537 0.962852 0.958243 ... 0.951703
Optimal solution found (tolerance 1.00e-02)
Best objective 9.653703699205e-01, best bound 9.653703699205e-01, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnewrfo81.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphjvrgn9d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960392
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.685941e+00, 726 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68594 0 63 0.96039 1.68594 75.5% - 0s
0 0 1.63400 0 74 0.96039 1.63400 70.1% - 0s
0 0 1.63342 0 75 0.96039 1.63342 70.1% - 0s
0 0 1.61205 0 84 0.96039 1.61205 67.9% - 0s
0 0 1.61198 0 85 0.96039 1.61198 67.8% - 0s
0 0 1.61035 0 79 0.96039 1.61035 67.7% - 0s
0 0 1.60882 0 85 0.96039 1.60882 67.5% - 0s
0 0 1.60826 0 85 0.96039 1.60826 67.5% - 0s
0 0 1.60826 0 86 0.96039 1.60826 67.5% - 0s
0 0 1.60742 0 89 0.96039 1.60742 67.4% - 0s
0 0 1.60742 0 89 0.96039 1.60742 67.4% - 0s
0 0 1.60536 0 90 0.96039 1.60536 67.2% - 0s
0 0 1.60512 0 88 0.96039 1.60512 67.1% - 0s
0 0 1.60428 0 88 0.96039 1.60428 67.0% - 0s
0 0 1.60395 0 89 0.96039 1.60395 67.0% - 0s
0 0 1.60386 0 91 0.96039 1.60386 67.0% - 0s
0 0 1.60371 0 91 0.96039 1.60371 67.0% - 0s
0 0 1.60371 0 80 0.96039 1.60371 67.0% - 0s
0 2 1.60371 0 78 0.96039 1.60371 67.0% - 0s
H 2378 697 0.9677227 1.26866 31.1% 9.5 3s
3952 719 0.99195 37 67 0.96772 1.13456 17.2% 8.7 5s
H 4812 601 0.9698873 1.07276 10.6% 8.1 5s
H 4825 604 0.9698873 1.07248 10.6% 8.1 5s
H 4838 601 0.9711587 1.07248 10.4% 8.1 5s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 10
MIR: 9
Flow cover: 20
Flow path: 1
Inf proof: 3
Explored 5784 nodes (45146 simplex iterations) in 6.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.971159 0.969887 0.969887 ... 0.960392
Optimal solution found (tolerance 1.00e-02)
Best objective 9.711587127250e-01, best bound 9.711587127250e-01, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0rj4j87j.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb4m3ox89.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.959963
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.659680e+00, 799 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65968 0 66 0.95996 1.65968 72.9% - 0s
0 0 1.60733 0 81 0.95996 1.60733 67.4% - 0s
0 0 1.60677 0 80 0.95996 1.60677 67.4% - 0s
0 0 1.58614 0 91 0.95996 1.58614 65.2% - 0s
0 0 1.58580 0 91 0.95996 1.58580 65.2% - 0s
0 0 1.57726 0 88 0.95996 1.57726 64.3% - 0s
0 0 1.57721 0 94 0.95996 1.57721 64.3% - 0s
0 0 1.57597 0 97 0.95996 1.57597 64.2% - 0s
0 0 1.57596 0 95 0.95996 1.57596 64.2% - 0s
0 0 1.57531 0 95 0.95996 1.57531 64.1% - 0s
0 0 1.57304 0 97 0.95996 1.57304 63.9% - 0s
0 0 1.57290 0 93 0.95996 1.57290 63.9% - 0s
0 0 1.57280 0 93 0.95996 1.57280 63.8% - 0s
0 0 1.57279 0 93 0.95996 1.57279 63.8% - 0s
0 0 1.57257 0 94 0.95996 1.57257 63.8% - 0s
0 0 1.57257 0 81 0.95996 1.57257 63.8% - 0s
0 2 1.57257 0 80 0.95996 1.57257 63.8% - 0s
* 1254 572 101 0.9662231 1.33888 38.6% 11.2 3s
* 1256 547 102 0.9676743 1.33888 38.4% 11.2 3s
3337 1008 0.97501 49 42 0.96767 1.19821 23.8% 9.9 5s
H 4673 971 0.9682642 1.09787 13.4% 9.6 6s
H 4675 962 0.9714212 1.09787 13.0% 9.6 6s
* 5959 340 99 0.9735009 1.03162 5.97% 9.1 7s
* 6198 180 70 0.9736641 1.00599 3.32% 8.9 7s
* 6418 0 95 0.9765494 0.98459 0.82% 8.8 8s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 11
Clique: 1
MIR: 7
Flow cover: 19
Flow path: 1
Inf proof: 3
Explored 6480 nodes (58058 simplex iterations) in 8.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.976549 0.973664 0.973501 ... 0.959963
Optimal solution found (tolerance 1.00e-02)
Best objective 9.765493927926e-01, best bound 9.765493927926e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyb72e4w8.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6igpfxdx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.962633
Presolve removed 442 rows and 277 columns
Presolve time: 0.03s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.623202e+00, 778 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62320 0 68 0.96263 1.62320 68.6% - 0s
0 0 1.57276 0 78 0.96263 1.57276 63.4% - 0s
0 0 1.57220 0 82 0.96263 1.57220 63.3% - 0s
0 0 1.54824 0 88 0.96263 1.54824 60.8% - 0s
0 0 1.54774 0 88 0.96263 1.54774 60.8% - 0s
0 0 1.53274 0 90 0.96263 1.53274 59.2% - 0s
0 0 1.53087 0 93 0.96263 1.53087 59.0% - 0s
0 0 1.52845 0 101 0.96263 1.52845 58.8% - 0s
0 0 1.52729 0 96 0.96263 1.52729 58.7% - 0s
0 0 1.52432 0 104 0.96263 1.52432 58.3% - 0s
0 0 1.52379 0 106 0.96263 1.52379 58.3% - 0s
0 0 1.51792 0 101 0.96263 1.51792 57.7% - 0s
0 0 1.51684 0 106 0.96263 1.51684 57.6% - 0s
0 0 1.51643 0 107 0.96263 1.51643 57.5% - 0s
0 0 1.51643 0 108 0.96263 1.51643 57.5% - 0s
0 0 1.51486 0 110 0.96263 1.51486 57.4% - 0s
0 0 1.51468 0 113 0.96263 1.51468 57.3% - 0s
0 0 1.51407 0 112 0.96263 1.51407 57.3% - 0s
0 0 1.51407 0 114 0.96263 1.51407 57.3% - 0s
0 0 1.51372 0 117 0.96263 1.51372 57.2% - 0s
0 0 1.51369 0 117 0.96263 1.51369 57.2% - 0s
0 0 1.51369 0 114 0.96263 1.51369 57.2% - 0s
0 0 1.51369 0 114 0.96263 1.51369 57.2% - 0s
0 2 1.51369 0 96 0.96263 1.51369 57.2% - 0s
1099 478 1.17507 31 67 0.96263 1.30562 35.6% 15.6 5s
6032 294 infeasible 42 0.96263 1.00474 4.37% 13.7 10s
* 6082 286 65 0.9637980 1.00458 4.23% 13.6 10s
Cutting planes:
Gomory: 39
Cover: 4
Implied bound: 18
Projected implied bound: 36
Clique: 1
MIR: 20
Flow cover: 84
Flow path: 1
Inf proof: 67
Explored 6600 nodes (89453 simplex iterations) in 10.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.963798 0.962633
Optimal solution found (tolerance 1.00e-02)
Best objective 9.637980016183e-01, best bound 9.727180270810e-01, gap 0.9255%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv5e7q4b_.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp46ra1oea.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.942952
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.575226e+00, 760 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57523 0 69 0.94295 1.57523 67.1% - 0s
0 0 1.52784 0 84 0.94295 1.52784 62.0% - 0s
0 0 1.52730 0 87 0.94295 1.52730 62.0% - 0s
0 0 1.50857 0 92 0.94295 1.50857 60.0% - 0s
0 0 1.50829 0 91 0.94295 1.50829 60.0% - 0s
0 0 1.50450 0 95 0.94295 1.50450 59.6% - 0s
0 0 1.50448 0 95 0.94295 1.50448 59.5% - 0s
0 0 1.50316 0 96 0.94295 1.50316 59.4% - 0s
0 0 1.50316 0 97 0.94295 1.50316 59.4% - 0s
0 0 1.50238 0 99 0.94295 1.50238 59.3% - 0s
0 0 1.50238 0 99 0.94295 1.50238 59.3% - 0s
0 0 1.50051 0 101 0.94295 1.50051 59.1% - 0s
0 0 1.49961 0 101 0.94295 1.49961 59.0% - 0s
0 0 1.49961 0 100 0.94295 1.49961 59.0% - 0s
0 0 1.49932 0 100 0.94295 1.49932 59.0% - 0s
0 0 1.49910 0 100 0.94295 1.49910 59.0% - 0s
0 0 1.49910 0 87 0.94295 1.49910 59.0% - 0s
0 2 1.49910 0 86 0.94295 1.49910 59.0% - 0s
H 3076 446 0.9463102 1.13783 20.2% 9.1 4s
3454 328 1.03738 38 60 0.94631 1.08895 15.1% 9.1 5s
* 4746 51 87 0.9467413 0.95733 1.12% 8.3 6s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 14
MIR: 9
Flow cover: 20
Flow path: 1
Inf proof: 6
Explored 4834 nodes (41606 simplex iterations) in 6.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.946741 0.94631 0.942952
Optimal solution found (tolerance 1.00e-02)
Best objective 9.467412690134e-01, best bound 9.467412690134e-01, gap 0.0000%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg5q61sec.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwabel7eg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927359
Presolve removed 468 rows and 293 columns
Presolve time: 0.03s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.530145e+00, 755 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53015 0 71 0.92736 1.53015 65.0% - 0s
0 0 1.48484 0 87 0.92736 1.48484 60.1% - 0s
0 0 1.48430 0 91 0.92736 1.48430 60.1% - 0s
0 0 1.46460 0 97 0.92736 1.46460 57.9% - 0s
0 0 1.46433 0 95 0.92736 1.46433 57.9% - 0s
0 0 1.46072 0 102 0.92736 1.46072 57.5% - 0s
0 0 1.46061 0 101 0.92736 1.46061 57.5% - 0s
0 0 1.45923 0 101 0.92736 1.45923 57.4% - 0s
0 0 1.45920 0 102 0.92736 1.45920 57.3% - 0s
0 0 1.45841 0 105 0.92736 1.45841 57.3% - 0s
0 0 1.45841 0 105 0.92736 1.45841 57.3% - 0s
0 0 1.45660 0 106 0.92736 1.45660 57.1% - 0s
0 0 1.45573 0 106 0.92736 1.45573 57.0% - 0s
0 0 1.45573 0 106 0.92736 1.45573 57.0% - 0s
0 0 1.45545 0 106 0.92736 1.45545 56.9% - 0s
0 0 1.45524 0 106 0.92736 1.45524 56.9% - 0s
0 0 1.45524 0 91 0.92736 1.45524 56.9% - 0s
0 2 1.45524 0 90 0.92736 1.45524 56.9% - 0s
3664 462 infeasible 33 0.92736 1.01520 9.47% 9.7 5s
* 4481 241 87 0.9280208 0.96651 4.15% 9.2 5s
* 5159 41 81 0.9287864 0.94004 1.21% 8.7 6s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 14
MIR: 10
Flow cover: 24
Flow path: 1
Inf proof: 4
Explored 5258 nodes (47002 simplex iterations) in 6.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.928786 0.928021 0.927359
Optimal solution found (tolerance 1.00e-02)
Best objective 9.287863535846e-01, best bound 9.377704601522e-01, gap 0.9673%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf2hdhvo1.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbiaxagok.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.916824
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.513587e+00, 939 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51359 0 72 0.91682 1.51359 65.1% - 0s
0 0 1.47069 0 94 0.91682 1.47069 60.4% - 0s
0 0 1.47019 0 98 0.91682 1.47019 60.4% - 0s
0 0 1.45246 0 94 0.91682 1.45246 58.4% - 0s
0 0 1.45205 0 99 0.91682 1.45205 58.4% - 0s
0 0 1.44903 0 102 0.91682 1.44903 58.0% - 0s
0 0 1.44894 0 100 0.91682 1.44894 58.0% - 0s
0 0 1.44745 0 96 0.91682 1.44745 57.9% - 0s
0 0 1.44745 0 105 0.91682 1.44745 57.9% - 0s
0 0 1.44681 0 100 0.91682 1.44681 57.8% - 0s
0 0 1.44680 0 102 0.91682 1.44680 57.8% - 0s
0 0 1.44596 0 104 0.91682 1.44596 57.7% - 0s
0 0 1.44596 0 104 0.91682 1.44596 57.7% - 0s
0 0 1.44580 0 104 0.91682 1.44580 57.7% - 0s
0 0 1.44566 0 93 0.91682 1.44566 57.7% - 0s
0 0 1.44566 0 93 0.91682 1.44566 57.7% - 0s
0 0 1.44566 0 96 0.91682 1.44566 57.7% - 0s
0 0 1.44566 0 96 0.91682 1.44566 57.7% - 0s
0 0 1.44566 0 95 0.91682 1.44566 57.7% - 0s
0 2 1.44566 0 95 0.91682 1.44566 57.7% - 0s
2887 721 infeasible 38 0.91682 1.14475 24.9% 9.6 5s
H 4045 725 0.9215825 1.05558 14.5% 8.5 5s
* 4621 880 124 0.9226847 1.05133 13.9% 8.0 6s
H 5072 997 0.9240030 1.03457 12.0% 7.7 6s
H 6977 1123 0.9248735 0.99167 7.22% 7.2 8s
* 8019 723 113 0.9250990 0.95029 2.72% 7.1 9s
8384 602 infeasible 74 0.92510 0.94628 2.29% 7.1 10s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 12
MIR: 10
Flow cover: 20
Inf proof: 1
Explored 9269 nodes (67348 simplex iterations) in 10.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.925099 0.924874 0.924003 ... 0.916824
Optimal solution found (tolerance 1.00e-02)
Best objective 9.250989896957e-01, best bound 9.335989226903e-01, gap 0.9188%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ohoemea.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaq901wil.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.915447
Presolve removed 494 rows and 309 columns
Presolve time: 0.04s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.539426e+00, 861 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53943 0 74 0.91545 1.53943 68.2% - 0s
0 0 1.49894 0 85 0.91545 1.49894 63.7% - 0s
0 0 1.49851 0 92 0.91545 1.49851 63.7% - 0s
0 0 1.48157 0 102 0.91545 1.48157 61.8% - 0s
0 0 1.48115 0 95 0.91545 1.48115 61.8% - 0s
0 0 1.47826 0 95 0.91545 1.47826 61.5% - 0s
0 0 1.47824 0 99 0.91545 1.47824 61.5% - 0s
0 0 1.47755 0 99 0.91545 1.47755 61.4% - 0s
0 0 1.47754 0 96 0.91545 1.47754 61.4% - 0s
0 0 1.47678 0 105 0.91545 1.47678 61.3% - 0s
0 0 1.47678 0 105 0.91545 1.47678 61.3% - 0s
0 0 1.47615 0 104 0.91545 1.47615 61.2% - 0s
0 0 1.47545 0 104 0.91545 1.47545 61.2% - 0s
0 0 1.47460 0 105 0.91545 1.47460 61.1% - 0s
0 0 1.47392 0 106 0.91545 1.47392 61.0% - 0s
0 0 1.47387 0 110 0.91545 1.47387 61.0% - 0s
0 0 1.47363 0 109 0.91545 1.47363 61.0% - 0s
0 0 1.47361 0 110 0.91545 1.47361 61.0% - 0s
0 0 1.47277 0 105 0.91545 1.47277 60.9% - 0s
0 0 1.47277 0 105 0.91545 1.47277 60.9% - 0s
0 0 1.47277 0 106 0.91545 1.47277 60.9% - 0s
0 0 1.47244 0 93 0.91545 1.47244 60.8% - 0s
0 0 1.47244 0 93 0.91545 1.47244 60.8% - 0s
0 0 1.47244 0 94 0.91545 1.47244 60.8% - 0s
0 0 1.47244 0 92 0.91545 1.47244 60.8% - 0s
0 0 1.47244 0 91 0.91545 1.47244 60.8% - 0s
0 2 1.47244 0 90 0.91545 1.47244 60.8% - 0s
H 2726 617 0.9184059 1.11044 20.9% 10.1 4s
2760 599 cutoff 67 0.91841 1.10784 20.6% 10.1 5s
* 6396 577 94 0.9198647 0.94942 3.21% 8.1 7s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 12
MIR: 9
Flow cover: 21
Inf proof: 5
Explored 7285 nodes (59010 simplex iterations) in 8.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.919865 0.918406 0.915447
Optimal solution found (tolerance 1.00e-02)
Best objective 9.198647264692e-01, best bound 9.275249545499e-01, gap 0.8328%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxgriqu0y.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9ysyd8gl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910718
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.504708e+00, 964 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50471 0 82 0.91072 1.50471 65.2% - 0s
0 0 1.46378 0 104 0.91072 1.46378 60.7% - 0s
0 0 1.46333 0 104 0.91072 1.46333 60.7% - 0s
0 0 1.43108 0 111 0.91072 1.43108 57.1% - 0s
0 0 1.43083 0 113 0.91072 1.43083 57.1% - 0s
0 0 1.42804 0 105 0.91072 1.42804 56.8% - 0s
0 0 1.42688 0 110 0.91072 1.42688 56.7% - 0s
0 0 1.42184 0 104 0.91072 1.42184 56.1% - 0s
0 0 1.42139 0 109 0.91072 1.42139 56.1% - 0s
0 0 1.42127 0 103 0.91072 1.42127 56.1% - 0s
0 0 1.42117 0 108 0.91072 1.42117 56.0% - 0s
0 0 1.42117 0 96 0.91072 1.42117 56.0% - 0s
0 2 1.42117 0 92 0.91072 1.42117 56.0% - 0s
3326 1068 cutoff 40 0.91072 1.12281 23.3% 11.5 5s
H 5711 1001 0.9115668 1.00688 10.5% 9.6 7s
* 8425 280 119 0.9116788 0.93372 2.42% 8.8 9s
8757 57 cutoff 85 0.91168 0.92426 1.38% 8.7 10s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 12
Clique: 1
MIR: 10
Flow cover: 17
Flow path: 1
Inf proof: 4
Explored 8862 nodes (78814 simplex iterations) in 10.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.911679 0.911567 0.910718
Optimal solution found (tolerance 1.00e-02)
Best objective 9.116787724801e-01, best bound 9.175017380145e-01, gap 0.6387%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvbgp_x2y.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjma9widx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.89457
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.482347e+00, 1006 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48235 0 77 0.89457 1.48235 65.7% - 0s
0 0 1.44294 0 91 0.89457 1.44294 61.3% - 0s
0 0 1.44251 0 94 0.89457 1.44251 61.3% - 0s
0 0 1.42621 0 103 0.89457 1.42621 59.4% - 0s
0 0 1.42594 0 99 0.89457 1.42594 59.4% - 0s
0 0 1.42354 0 95 0.89457 1.42354 59.1% - 0s
0 0 1.42302 0 108 0.89457 1.42302 59.1% - 0s
0 0 1.42212 0 106 0.89457 1.42212 59.0% - 0s
0 0 1.42203 0 109 0.89457 1.42203 59.0% - 0s
0 0 1.42134 0 111 0.89457 1.42134 58.9% - 0s
0 0 1.42134 0 111 0.89457 1.42134 58.9% - 0s
0 0 1.42070 0 109 0.89457 1.42070 58.8% - 0s
0 0 1.41955 0 110 0.89457 1.41955 58.7% - 0s
0 0 1.41792 0 112 0.89457 1.41792 58.5% - 0s
0 0 1.41762 0 112 0.89457 1.41762 58.5% - 0s
0 0 1.41726 0 112 0.89457 1.41726 58.4% - 0s
0 0 1.41716 0 112 0.89457 1.41716 58.4% - 0s
0 0 1.41656 0 112 0.89457 1.41656 58.4% - 0s
0 0 1.41624 0 112 0.89457 1.41624 58.3% - 0s
0 0 1.41624 0 112 0.89457 1.41624 58.3% - 0s
0 0 1.41624 0 113 0.89457 1.41624 58.3% - 0s
0 0 1.41624 0 113 0.89457 1.41624 58.3% - 0s
0 0 1.41624 0 113 0.89457 1.41624 58.3% - 0s
0 0 1.41624 0 98 0.89457 1.41624 58.3% - 0s
0 2 1.41624 0 96 0.89457 1.41624 58.3% - 0s
2367 524 infeasible 39 0.89457 1.12761 26.1% 12.3 5s
H 2663 660 0.8947385 1.11777 24.9% 11.9 5s
H 2683 666 0.8960833 1.11777 24.7% 11.9 5s
7173 834 infeasible 67 0.89608 0.92520 3.25% 9.4 10s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 12
MIR: 9
Flow cover: 23
Flow path: 1
Explored 8960 nodes (83203 simplex iterations) in 12.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.896083 0.894738 0.89457
Optimal solution found (tolerance 1.00e-02)
Best objective 8.960832954608e-01, best bound 9.043981955150e-01, gap 0.9279%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpglaoc3ic.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuk3kxgj1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.873678
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.440811e+00, 1086 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44081 0 80 0.87368 1.44081 64.9% - 0s
0 0 1.40232 0 97 0.87368 1.40232 60.5% - 0s
0 0 1.40189 0 100 0.87368 1.40189 60.5% - 0s
0 0 1.38600 0 108 0.87368 1.38600 58.6% - 0s
0 0 1.38580 0 102 0.87368 1.38580 58.6% - 0s
0 0 1.38313 0 108 0.87368 1.38313 58.3% - 0s
0 0 1.38312 0 114 0.87368 1.38312 58.3% - 0s
0 0 1.38236 0 105 0.87368 1.38236 58.2% - 0s
0 0 1.38236 0 110 0.87368 1.38236 58.2% - 0s
0 0 1.38051 0 117 0.87368 1.38051 58.0% - 0s
0 0 1.38036 0 116 0.87368 1.38036 58.0% - 0s
0 0 1.38034 0 117 0.87368 1.38034 58.0% - 0s
0 0 1.38034 0 117 0.87368 1.38034 58.0% - 0s
0 0 1.38034 0 117 0.87368 1.38034 58.0% - 0s
0 0 1.38034 0 104 0.87368 1.38034 58.0% - 0s
0 2 1.38034 0 100 0.87368 1.38034 58.0% - 0s
3016 426 0.99523 40 74 0.87368 1.04179 19.2% 11.5 5s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 8
MIR: 10
Flow cover: 16
Flow path: 1
Inf proof: 3
Explored 6819 nodes (67292 simplex iterations) in 8.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.873678
Optimal solution found (tolerance 1.00e-02)
Best objective 8.736781802893e-01, best bound 8.736781802893e-01, gap 0.0000%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpowferhws.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp18b08vfu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.862903
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.454944e+00, 1005 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45494 0 84 0.86290 1.45494 68.6% - 0s
0 0 1.41923 0 106 0.86290 1.41923 64.5% - 0s
0 0 1.41853 0 109 0.86290 1.41853 64.4% - 0s
0 0 1.39967 0 123 0.86290 1.39967 62.2% - 0s
0 0 1.39939 0 111 0.86290 1.39939 62.2% - 0s
0 0 1.39654 0 121 0.86290 1.39654 61.8% - 0s
0 0 1.39652 0 123 0.86290 1.39652 61.8% - 0s
0 0 1.39077 0 114 0.86290 1.39077 61.2% - 0s
0 0 1.39075 0 114 0.86290 1.39075 61.2% - 0s
0 0 1.38962 0 116 0.86290 1.38962 61.0% - 0s
0 0 1.38962 0 116 0.86290 1.38962 61.0% - 0s
0 0 1.38896 0 116 0.86290 1.38896 61.0% - 0s
0 0 1.38895 0 118 0.86290 1.38895 61.0% - 0s
0 0 1.38890 0 120 0.86290 1.38890 61.0% - 0s
0 0 1.38890 0 120 0.86290 1.38890 61.0% - 0s
0 0 1.38733 0 120 0.86290 1.38733 60.8% - 0s
0 0 1.38728 0 122 0.86290 1.38728 60.8% - 0s
0 0 1.38643 0 118 0.86290 1.38643 60.7% - 0s
0 0 1.38640 0 116 0.86290 1.38640 60.7% - 0s
0 0 1.38640 0 116 0.86290 1.38640 60.7% - 0s
0 0 1.38640 0 118 0.86290 1.38640 60.7% - 0s
0 0 1.38640 0 116 0.86290 1.38640 60.7% - 0s
0 0 1.38640 0 102 0.86290 1.38640 60.7% - 0s
0 2 1.38640 0 101 0.86290 1.38640 60.7% - 0s
867 470 1.18966 22 100 0.86290 1.25622 45.6% 18.2 5s
5749 652 0.87390 68 49 0.86290 0.93932 8.86% 11.1 10s
Cutting planes:
Gomory: 7
Cover: 4
Implied bound: 15
Projected implied bound: 37
Clique: 1
MIR: 15
Flow cover: 42
Flow path: 1
Inf proof: 6
Explored 9455 nodes (94592 simplex iterations) in 13.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.862903
Optimal solution found (tolerance 1.00e-02)
Best objective 8.629030350022e-01, best bound 8.685121462384e-01, gap 0.6500%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl1fpktsb.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi6396tnv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.858251
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.432466e+00, 1080 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43247 0 89 0.85825 1.43247 66.9% - 0s
0 0 1.41079 0 100 0.85825 1.41079 64.4% - 0s
0 0 1.41013 0 104 0.85825 1.41013 64.3% - 0s
0 0 1.40006 0 118 0.85825 1.40006 63.1% - 0s
0 0 1.39119 0 113 0.85825 1.39119 62.1% - 0s
0 0 1.38807 0 121 0.85825 1.38807 61.7% - 0s
0 0 1.38807 0 121 0.85825 1.38807 61.7% - 0s
0 0 1.38723 0 121 0.85825 1.38723 61.6% - 0s
0 0 1.38638 0 120 0.85825 1.38638 61.5% - 0s
0 0 1.38533 0 121 0.85825 1.38533 61.4% - 0s
0 0 1.38531 0 122 0.85825 1.38531 61.4% - 0s
0 0 1.38527 0 122 0.85825 1.38527 61.4% - 0s
0 0 1.38527 0 98 0.85825 1.38527 61.4% - 0s
0 2 1.38527 0 97 0.85825 1.38527 61.4% - 0s
3014 805 0.90502 53 66 0.85825 1.09013 27.0% 11.0 5s
H 7211 1551 0.8582508 0.98278 14.5% 9.3 8s
8249 1402 infeasible 71 0.85825 0.96007 11.9% 9.1 10s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 10
Clique: 1
MIR: 8
Flow cover: 21
Flow path: 1
Inf proof: 2
Explored 12193 nodes (110204 simplex iterations) in 14.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.858251 0.858251
Optimal solution found (tolerance 1.00e-02)
Best objective 8.582507933261e-01, best bound 8.646990912061e-01, gap 0.7513%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk2ttr_td.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpspt45ou3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.84957
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.422861e+00, 1150 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42286 0 86 0.84957 1.42286 67.5% - 0s
0 0 1.38952 0 103 0.84957 1.38952 63.6% - 0s
0 0 1.38756 0 102 0.84957 1.38756 63.3% - 0s
0 0 1.36371 0 113 0.84957 1.36371 60.5% - 0s
0 0 1.36132 0 116 0.84957 1.36132 60.2% - 0s
0 0 1.35864 0 123 0.84957 1.35864 59.9% - 0s
0 0 1.35797 0 120 0.84957 1.35797 59.8% - 0s
0 0 1.35173 0 118 0.84957 1.35173 59.1% - 0s
0 0 1.35079 0 125 0.84957 1.35079 59.0% - 0s
0 0 1.34756 0 128 0.84957 1.34756 58.6% - 0s
0 0 1.34679 0 125 0.84957 1.34679 58.5% - 0s
0 0 1.34673 0 126 0.84957 1.34673 58.5% - 0s
0 0 1.34669 0 125 0.84957 1.34669 58.5% - 0s
0 0 1.34664 0 124 0.84957 1.34664 58.5% - 0s
0 0 1.34643 0 124 0.84957 1.34643 58.5% - 0s
0 0 1.34640 0 124 0.84957 1.34640 58.5% - 0s
0 0 1.34640 0 108 0.84957 1.34640 58.5% - 0s
0 2 1.34640 0 108 0.84957 1.34640 58.5% - 0s
2563 824 1.05323 51 79 0.84957 1.12910 32.9% 12.3 5s
H 5786 986 0.8495705 0.98960 16.5% 10.1 7s
7549 1100 infeasible 48 0.84957 0.94576 11.3% 9.3 10s
13033 852 0.85662 81 52 0.84957 0.87044 2.46% 8.3 15s
Cutting planes:
Gomory: 6
Implied bound: 18
Clique: 1
MIR: 8
Flow cover: 21
Flow path: 2
Inf proof: 1
Explored 14110 nodes (118172 simplex iterations) in 16.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.84957 0.84957
Optimal solution found (tolerance 1.00e-02)
Best objective 8.495704739474e-01, best bound 8.573057789934e-01, gap 0.9105%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnmmhhawg.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmperttvh75.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.83396
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.404056e+00, 1238 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40406 0 92 0.83396 1.40406 68.4% - 0s
0 0 1.37267 0 116 0.83396 1.37267 64.6% - 0s
0 0 1.37209 0 116 0.83396 1.37209 64.5% - 0s
0 0 1.35663 0 127 0.83396 1.35663 62.7% - 0s
0 0 1.35268 0 125 0.83396 1.35268 62.2% - 0s
0 0 1.34958 0 118 0.83396 1.34958 61.8% - 0s
0 0 1.34855 0 126 0.83396 1.34855 61.7% - 0s
0 0 1.34795 0 129 0.83396 1.34795 61.6% - 0s
0 0 1.34784 0 123 0.83396 1.34784 61.6% - 0s
0 0 1.34618 0 128 0.83396 1.34618 61.4% - 0s
0 0 1.34558 0 125 0.83396 1.34558 61.3% - 0s
0 0 1.34382 0 126 0.83396 1.34382 61.1% - 0s
0 0 1.34375 0 126 0.83396 1.34375 61.1% - 0s
0 0 1.34341 0 126 0.83396 1.34341 61.1% - 0s
0 0 1.34341 0 126 0.83396 1.34341 61.1% - 0s
0 0 1.34341 0 116 0.83396 1.34341 61.1% - 0s
0 0 1.34341 0 115 0.83396 1.34341 61.1% - 0s
0 2 1.34341 0 115 0.83396 1.34341 61.1% - 0s
1631 637 1.06285 37 98 0.83396 1.16209 39.3% 14.5 5s
7498 1723 infeasible 66 0.83396 0.96143 15.3% 9.9 10s
H 8938 1926 0.8351976 0.94374 13.0% 9.3 11s
*11120 1774 132 0.8364877 0.91699 9.62% 8.7 13s
12107 1693 cutoff 95 0.83649 0.89949 7.53% 8.5 15s
*12489 1651 126 0.8377870 0.89667 7.03% 8.4 15s
H14165 1650 0.8382169 0.88159 5.17% 8.4 18s
15405 1326 0.86219 69 50 0.83822 0.87295 4.14% 8.4 20s
*17510 348 127 0.8393034 0.84869 1.12% 8.5 22s
*17597 351 119 0.8394559 0.84860 1.09% 8.5 22s
Cutting planes:
Gomory: 8
Cover: 2
Implied bound: 14
Clique: 1
MIR: 9
Flow cover: 24
Flow path: 1
Inf proof: 7
Explored 17656 nodes (151823 simplex iterations) in 22.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.839456 0.839303 0.838217 ... 0.83396
Optimal solution found (tolerance 1.00e-02)
Best objective 8.394559361940e-01, best bound 8.469798840845e-01, gap 0.8963%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxljxt3gz.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbog45ngw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.825783
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.386287e+00, 1151 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38629 0 95 0.82578 1.38629 67.9% - 0s
0 0 1.36733 0 102 0.82578 1.36733 65.6% - 0s
0 0 1.36674 0 107 0.82578 1.36674 65.5% - 0s
0 0 1.35508 0 115 0.82578 1.35508 64.1% - 0s
0 0 1.35505 0 114 0.82578 1.35505 64.1% - 0s
0 0 1.35216 0 112 0.82578 1.35216 63.7% - 0s
0 0 1.35214 0 112 0.82578 1.35214 63.7% - 0s
0 0 1.34969 0 115 0.82578 1.34969 63.4% - 0s
0 0 1.34960 0 114 0.82578 1.34960 63.4% - 0s
0 0 1.34612 0 119 0.82578 1.34612 63.0% - 0s
0 0 1.34595 0 118 0.82578 1.34595 63.0% - 0s
0 0 1.34592 0 120 0.82578 1.34592 63.0% - 0s
0 0 1.34587 0 120 0.82578 1.34587 63.0% - 0s
0 0 1.34555 0 120 0.82578 1.34555 62.9% - 0s
0 0 1.34555 0 120 0.82578 1.34555 62.9% - 0s
0 0 1.34555 0 109 0.82578 1.34555 62.9% - 0s
0 0 1.34555 0 109 0.82578 1.34555 62.9% - 0s
0 2 1.34555 0 109 0.82578 1.34555 62.9% - 0s
1785 423 infeasible 65 0.82578 1.10540 33.9% 14.3 5s
H 5469 1297 0.8257830 0.94499 14.4% 10.9 9s
6621 1614 infeasible 54 0.82578 0.93580 13.3% 10.3 10s
11856 1678 infeasible 98 0.82578 0.87024 5.38% 8.9 15s
*14590 762 123 0.8263804 0.84093 1.76% 8.8 18s
*14966 518 112 0.8266101 0.83749 1.32% 8.7 19s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 11
MIR: 12
Flow cover: 27
Flow path: 1
Inf proof: 4
Explored 15138 nodes (134058 simplex iterations) in 19.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.82661 0.82638 0.825783 0.825783
Optimal solution found (tolerance 1.00e-02)
Best objective 8.266100895367e-01, best bound 8.345014660546e-01, gap 0.9547%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpncumwlj8.pyomo.lp
Reading time = 0.02 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpygbq02jj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812696
Presolve removed 611 rows and 381 columns
Presolve time: 0.05s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.358585e+00, 1182 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35858 0 95 0.81270 1.35858 67.2% - 0s
0 0 1.32801 0 119 0.81270 1.32801 63.4% - 0s
0 0 1.32617 0 120 0.81270 1.32617 63.2% - 0s
0 0 1.30054 0 119 0.81270 1.30054 60.0% - 0s
0 0 1.30054 0 119 0.81270 1.30054 60.0% - 0s
0 0 1.29234 0 133 0.81270 1.29234 59.0% - 0s
0 0 1.29112 0 137 0.81270 1.29112 58.9% - 0s
0 0 1.28727 0 138 0.81270 1.28727 58.4% - 0s
0 0 1.28714 0 134 0.81270 1.28714 58.4% - 0s
0 0 1.28705 0 138 0.81270 1.28705 58.4% - 0s
0 0 1.28704 0 138 0.81270 1.28704 58.4% - 0s
0 0 1.28681 0 138 0.81270 1.28681 58.3% - 0s
0 0 1.28659 0 140 0.81270 1.28659 58.3% - 0s
0 0 1.28549 0 139 0.81270 1.28549 58.2% - 0s
0 0 1.28539 0 141 0.81270 1.28539 58.2% - 0s
0 0 1.28510 0 137 0.81270 1.28510 58.1% - 0s
0 0 1.28497 0 131 0.81270 1.28497 58.1% - 0s
0 0 1.28496 0 138 0.81270 1.28496 58.1% - 0s
0 0 1.28496 0 138 0.81270 1.28496 58.1% - 0s
0 0 1.28496 0 117 0.81270 1.28496 58.1% - 0s
0 2 1.28496 0 117 0.81270 1.28496 58.1% - 0s
743 515 infeasible 12 0.81270 1.16922 43.9% 18.3 5s
H 2494 522 0.8133592 1.05342 29.5% 21.3 9s
2837 639 0.99314 32 92 0.81336 1.04041 27.9% 21.3 10s
H 3254 608 0.8135805 1.02127 25.5% 21.8 11s
H 3891 783 0.8139302 0.99760 22.6% 20.9 12s
4441 807 0.89822 69 60 0.81393 0.98524 21.0% 20.7 15s
H 4856 904 0.8139302 0.97789 20.1% 20.3 16s
* 7026 1238 117 0.8150768 0.91611 12.4% 17.3 19s
7764 1492 0.87144 45 65 0.81508 0.90712 11.3% 16.4 20s
11668 1812 cutoff 46 0.81508 0.86156 5.70% 14.6 25s
*12971 1286 105 0.8153832 0.84513 3.65% 14.5 27s
*13434 1160 104 0.8164179 0.83975 2.86% 14.4 28s
14297 646 cutoff 57 0.81642 0.82985 1.65% 14.0 30s
Cutting planes:
Gomory: 44
Implied bound: 40
Projected implied bound: 32
Clique: 1
MIR: 31
Flow cover: 96
Flow path: 2
Inf proof: 127
Explored 14790 nodes (207354 simplex iterations) in 30.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.816418 0.815383 0.815077 ... 0.812696
Optimal solution found (tolerance 1.00e-02)
Best objective 8.164178504307e-01, best bound 8.239749824279e-01, gap 0.9256%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaujna88c.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgqmjnjly.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.805611
Presolve removed 624 rows and 389 columns
Presolve time: 0.04s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.334517e+00, 1096 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33452 0 94 0.80561 1.33452 65.7% - 0s
0 0 1.30570 0 120 0.80561 1.30570 62.1% - 0s
0 0 1.30507 0 120 0.80561 1.30507 62.0% - 0s
0 0 1.28838 0 127 0.80561 1.28838 59.9% - 0s
0 0 1.28811 0 128 0.80561 1.28811 59.9% - 0s
0 0 1.28596 0 125 0.80561 1.28596 59.6% - 0s
0 0 1.28552 0 124 0.80561 1.28552 59.6% - 0s
0 0 1.28286 0 134 0.80561 1.28286 59.2% - 0s
0 0 1.28284 0 132 0.80561 1.28284 59.2% - 0s
0 0 1.27952 0 133 0.80561 1.27952 58.8% - 0s
0 0 1.27935 0 132 0.80561 1.27935 58.8% - 0s
0 0 1.27878 0 134 0.80561 1.27878 58.7% - 0s
0 0 1.27878 0 134 0.80561 1.27878 58.7% - 0s
0 0 1.27878 0 133 0.80561 1.27878 58.7% - 0s
0 0 1.27869 0 133 0.80561 1.27869 58.7% - 0s
0 0 1.27869 0 133 0.80561 1.27869 58.7% - 0s
0 0 1.27869 0 126 0.80561 1.27869 58.7% - 0s
0 2 1.27869 0 126 0.80561 1.27869 58.7% - 0s
1339 605 1.06092 23 114 0.80561 1.13709 41.1% 18.5 5s
H 4570 1362 0.8056106 1.06783 32.5% 18.1 9s
4720 1351 0.83034 42 99 0.80561 1.06273 31.9% 18.0 10s
H 8042 1825 0.8056106 0.96423 19.7% 14.3 14s
8800 1872 0.82892 69 65 0.80561 0.94450 17.2% 13.7 15s
12800 2133 infeasible 51 0.80561 0.88659 10.1% 11.9 20s
16349 1281 infeasible 48 0.80561 0.83597 3.77% 11.2 25s
*17955 1278 92 0.8071346 0.82410 2.10% 10.8 27s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 16
Clique: 1
MIR: 15
Flow cover: 27
Flow path: 1
Inf proof: 8
Explored 19892 nodes (211080 simplex iterations) in 29.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.807135 0.805611 0.805611 0.805611
Optimal solution found (tolerance 1.00e-02)
Best objective 8.071345832920e-01, best bound 8.142783939703e-01, gap 0.8851%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8dyhoi3q.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpblfyzre2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794346
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.303689e+00, 1370 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30369 0 95 0.79435 1.30369 64.1% - 0s
0 0 1.27544 0 119 0.79435 1.27544 60.6% - 0s
0 0 1.27482 0 124 0.79435 1.27482 60.5% - 0s
0 0 1.25934 0 134 0.79435 1.25934 58.5% - 0s
0 0 1.25888 0 122 0.79435 1.25888 58.5% - 0s
0 0 1.25671 0 127 0.79435 1.25671 58.2% - 0s
0 0 1.25670 0 129 0.79435 1.25670 58.2% - 0s
0 0 1.25296 0 136 0.79435 1.25296 57.7% - 0s
0 0 1.25294 0 133 0.79435 1.25294 57.7% - 0s
0 0 1.25231 0 134 0.79435 1.25231 57.7% - 0s
0 0 1.25231 0 135 0.79435 1.25231 57.7% - 0s
0 0 1.25187 0 134 0.79435 1.25187 57.6% - 0s
0 0 1.25187 0 134 0.79435 1.25187 57.6% - 0s
0 0 1.25135 0 134 0.79435 1.25135 57.5% - 0s
0 0 1.25071 0 135 0.79435 1.25071 57.5% - 0s
0 0 1.25039 0 133 0.79435 1.25039 57.4% - 0s
0 0 1.25035 0 141 0.79435 1.25035 57.4% - 0s
0 0 1.25032 0 142 0.79435 1.25032 57.4% - 0s
0 0 1.24950 0 140 0.79435 1.24950 57.3% - 0s
0 0 1.24928 0 142 0.79435 1.24928 57.3% - 0s
0 0 1.24928 0 143 0.79435 1.24928 57.3% - 0s
0 0 1.24912 0 142 0.79435 1.24912 57.3% - 0s
0 0 1.24912 0 142 0.79435 1.24912 57.3% - 0s
0 0 1.24912 0 142 0.79435 1.24912 57.3% - 0s
0 0 1.24912 0 131 0.79435 1.24912 57.3% - 0s
0 2 1.24912 0 129 0.79435 1.24912 57.3% - 0s
1478 596 0.79742 123 73 0.79435 1.13497 42.9% 15.7 5s
6904 1880 infeasible 70 0.79435 0.90365 13.8% 10.2 10s
11897 1734 0.84504 72 67 0.79435 0.84504 6.38% 9.1 15s
15212 686 infeasible 80 0.79435 0.80998 1.97% 9.5 20s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 13
MIR: 16
Flow cover: 28
Flow path: 1
Inf proof: 7
Explored 16109 nodes (153633 simplex iterations) in 21.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.794346
Optimal solution found (tolerance 1.00e-02)
Best objective 7.943457982701e-01, best bound 8.018033466156e-01, gap 0.9388%
Run 4
Seed for training 661
Seed for simulation 338
direc: array([[ -31.22286119, 30.18329314, 18.11754139],
[ 0. , 1. , 0. ],
[-209.75711654, 173.80031175, 104.32431563]])
fopt: 0.8012732553329179
fun: -0.8000348960765629
message: 'Optimization terminated successfully.'
nfev: 582
nit: 8
status: 0
success: True
x: array([ 88.02711874, 154. , 146.15841307])
xopt: array([ 88., 154., 147.])
zopt: array([ 88., 242., 389.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxy2yjnab.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps07rn4t7.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.801273
Presolve removed 650 rows and 405 columns
Presolve time: 0.03s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.301055e+00, 1164 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30106 0 110 0.80127 1.30106 62.4% - 0s
0 0 1.24470 0 128 0.80127 1.24470 55.3% - 0s
0 0 1.24404 0 128 0.80127 1.24404 55.3% - 0s
0 0 1.20541 0 136 0.80127 1.20541 50.4% - 0s
0 0 1.20537 0 140 0.80127 1.20537 50.4% - 0s
0 0 1.20449 0 141 0.80127 1.20449 50.3% - 0s
0 0 1.20443 0 140 0.80127 1.20443 50.3% - 0s
0 0 1.20415 0 142 0.80127 1.20415 50.3% - 0s
0 0 1.20415 0 142 0.80127 1.20415 50.3% - 0s
0 0 1.20412 0 142 0.80127 1.20412 50.3% - 0s
0 0 1.20412 0 142 0.80127 1.20412 50.3% - 0s
0 0 1.20412 0 118 0.80127 1.20412 50.3% - 0s
0 2 1.20412 0 117 0.80127 1.20412 50.3% - 0s
1080 567 infeasible 21 0.80127 1.09286 36.4% 17.4 5s
* 1421 617 159 0.8103817 1.09186 34.7% 16.5 5s
H 2846 805 0.8116251 1.03702 27.8% 15.5 9s
3227 944 1.01228 33 115 0.81163 1.03195 27.1% 15.5 10s
H 4962 1494 0.8206245 1.01441 23.6% 15.1 13s
H 4982 1405 0.8394470 1.01441 20.8% 15.2 13s
5719 1666 1.00834 57 114 0.83945 1.00834 20.1% 15.0 15s
H 6980 2111 0.8414591 1.00133 19.0% 14.9 17s
* 8333 2326 111 0.8567048 0.99252 15.9% 14.8 19s
8385 2323 0.91035 53 107 0.85670 0.98978 15.5% 14.9 20s
H 9143 2436 0.8577604 0.98546 14.9% 14.8 21s
H 9385 2488 0.8584824 0.98400 14.6% 14.8 21s
* 9591 2538 113 0.8586643 0.98356 14.5% 14.7 22s
* 9798 2548 138 0.8592322 0.98356 14.5% 14.7 23s
10692 2728 0.96832 67 89 0.85923 0.97269 13.2% 14.7 25s
*12906 3039 145 0.8604602 0.96175 11.8% 14.5 29s
12917 3074 infeasible 63 0.86046 0.96175 11.8% 14.5 30s
H13554 3110 0.8641898 0.95229 10.2% 14.6 33s
H13558 2990 0.8676044 0.95228 9.76% 14.6 33s
14086 2974 0.93876 39 129 0.86760 0.94923 9.41% 14.9 35s
16636 2936 0.87845 60 123 0.86760 0.93111 7.32% 15.4 40s
18904 2758 cutoff 66 0.86760 0.91656 5.64% 15.8 45s
21211 2379 0.89993 69 95 0.86760 0.90449 4.25% 16.1 50s
23822 2046 infeasible 77 0.86760 0.89540 3.20% 16.0 55s
26324 1384 cutoff 71 0.86760 0.88617 2.14% 15.8 60s
29189 165 infeasible 103 0.86760 0.87013 0.29% 15.4 65s
Cutting planes:
Learned: 1
Gomory: 72
Cover: 3
Implied bound: 49
Projected implied bound: 38
Clique: 1
MIR: 41
Flow cover: 124
Flow path: 2
Inf proof: 349
Explored 29514 nodes (453842 simplex iterations) in 65.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.867604 0.86419 0.86046 ... 0.839447
Optimal solution found (tolerance 0.00e+00)
Best objective 8.676043954758e-01, best bound 8.676043954758e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsag1cn_w.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph9kpcj6_.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 572 rows and 427 columns
Presolve time: 0.01s
Presolved: 374 rows, 384 columns, 1599 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.4998652e+02 6.899351e+03 0.000000e+00 0s
273 1.4086181e+01 0.000000e+00 0.000000e+00 0s
Solved in 273 iterations and 0.01 seconds
Optimal objective 1.408618053e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.00974116, 0.00149752, 0.00149752]])
fopt: 1.084625924166922
fun: -1.0904363079500337
message: 'Optimization terminated successfully.'
nfev: 161
nit: 2
status: 0
success: True
x: array([14.00000021, -0.99998089, -0.99998089])
xopt: array([14., 0., 0.])
zopt: array([14., 14., 14.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.16339046, 0.0098315 , 0.03899385]])
fopt: 1.9060172567205502
fun: -1.9297195540863352
message: 'Optimization terminated successfully.'
nfev: 135
nit: 2
status: 0
success: True
x: array([34.07332512, -0.9953314 , -5.94882181])
xopt: array([34., 0., 0.])
zopt: array([34., 34., 34.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.75386720e-08, -1.00224136e-09, -8.25246221e-10]])
fopt: 1.9534523306746758
fun: -1.965346424235523
message: 'Optimization terminated successfully.'
nfev: 215
nit: 2
status: 0
success: True
x: array([55.95417177, -0.99999999, -0.89351245])
xopt: array([56., 0., 0.])
zopt: array([56., 56., 56.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.05485592, -0.02213341, 0. ]])
fopt: 1.4612374303677709
fun: -1.4723312045276282
message: 'Optimization terminated successfully.'
nfev: 352
nit: 3
status: 0
success: True
x: array([68.98514457, -0.41883261, 1. ])
xopt: array([69., 0., 1.])
zopt: array([69., 69., 70.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.1536993510328928
fun: -1.151318964936071
message: 'Optimization terminated successfully.'
nfev: 175
nit: 2
status: 0
success: True
x: array([ 95.38726893, 2. , -87.99580098])
xopt: array([95., 2., 0.])
zopt: array([95., 97., 97.])
*******************************************
Period: 6
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.1151006898402531
fun: -1.1207367792223577
message: 'Optimization terminated successfully.'
nfev: 248
nit: 3
status: 0
success: True
x: array([114.71562646, 1.00463191, -1.00204535])
xopt: array([114., 1., 0.])
zopt: array([114., 115., 115.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.09698740e-01, -4.32742767e-04, 1.85164429e-03]])
fopt: 1.0972081553872857
fun: -1.1023664278581382
message: 'Optimization terminated successfully.'
nfev: 181
nit: 2
status: 0
success: True
x: array([137.33780842, 1.14358284, 0.38336591])
xopt: array([137., 1., 0.])
zopt: array([137., 138., 138.])
*******************************************
Period: 8
direc: array([[-4.49408267e-07, -4.10499678e-10, 2.45509303e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.13686838e-13, -6.55584813e-08, -1.61803400e+00]])
fopt: 1.035146615730548
fun: -1.0416346688586064
message: 'Optimization terminated successfully.'
nfev: 702
nit: 7
status: 0
success: True
x: array([160.72674735, 1.13564946, -8.10945625])
xopt: array([160., 1., 0.])
zopt: array([160., 161., 161.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1468
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.20216156e-03, 6.78444088e-06, -1.33352130e-05]])
fopt: 0.8321047826087972
fun: -0.8375454917933031
message: 'Optimization terminated successfully.'
nfev: 240
nit: 3
status: 0
success: True
x: array([178.19510454, 4.00000678, -0.95544968])
xopt: array([178., 5., 0.])
zopt: array([178., 183., 183.])
*******************************************
Period: 11
direc: array([[3.59802728e-02, 2.03055931e-04, 4.28467696e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7562506373411977
fun: -0.7571984780726645
message: 'Optimization terminated successfully.'
nfev: 326
nit: 3
status: 0
success: True
x: array([178.22988287, 3.00020306, 4.15822825])
xopt: array([178., 4., 5.])
zopt: array([178., 182., 187.])
*******************************************
Period: 12
direc: array([[ 1.76024149e-02, 9.94588570e-05, 2.13296329e-04],
[ 0.00000000e+00, 0.00000000e+00, 2.61803406e+01],
[-3.50902059e-04, 9.99998017e-01, -1.24622346e-04]])
fopt: 0.8776450914825336
fun: -0.8782103802486915
message: 'Optimization terminated successfully.'
nfev: 1138
nit: 12
status: 0
success: True
x: array([177.99630269, 12.00008152, 34.00318539])
xopt: array([177., 13., 34.])
zopt: array([177., 190., 224.])
*******************************************
Period: 13
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.74557943e-06, 0.00000000e+00, 7.92453078e-10]])
fopt: 0.5976017523048819
fun: -0.6017275489497429
message: 'Optimization terminated successfully.'
nfev: 339
nit: 3
status: 0
success: True
x: array([238.01282396, 1.00000008, 2.00006288])
xopt: array([238., 1., 2.])
zopt: array([238., 239., 241.])
*******************************************
Period: 14
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.55863781e-04, 1.00000000e+00, 1.00000000e+00]])
fopt: 0.5310782319324558
fun: -0.5343181527925412
message: 'Optimization terminated successfully.'
nfev: 243
nit: 3
status: 0
success: True
x: array([255.9252471, 4. , 4. ])
xopt: array([255., 4., 4.])
zopt: array([255., 259., 263.])
*******************************************
Period: 15
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.44953233586464353
fun: -0.44978251930062224
message: 'Optimization terminated successfully.'
nfev: 168
nit: 2
status: 0
success: True
x: array([277.73129202, 2.02747057, 2. ])
xopt: array([277., 3., 2.])
zopt: array([277., 280., 282.])
*******************************************
Period: 16
direc: array([[-0. , 0. , 0. ],
[-0.00583387, 0.00563963, 0.059016 ],
[-2.03325556, 0. , 0. ]])
fopt: 0.4429675586585722
fun: -0.4401742428756584
message: 'Optimization terminated successfully.'
nfev: 528
nit: 7
status: 0
success: True
x: array([263.99999989, 4.01477319, 14.05912146])
xopt: array([263., 5., 15.])
zopt: array([263., 268., 283.])
*******************************************
Period: 17
direc: array([[-7.47435062e-08, 2.98995208e-10, 1.15177306e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.37842658e-07, -2.29923648e-07, -2.64819785e-15]])
fopt: 0.4666863661447903
fun: -0.4649284065945276
message: 'Optimization terminated successfully.'
nfev: 703
nit: 10
status: 0
success: True
x: array([270.74159257, 9.00398182, 41.0288061 ])
xopt: array([270., 9., 42.])
zopt: array([270., 279., 321.])
*******************************************
Period: 18
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-199.4263556 , 192.78643665, 128.5242911 ]])
fopt: 1.048165706095312
fun: -1.0470595591703167
message: 'Optimization terminated successfully.'
nfev: 365
nit: 6
status: 0
success: True
x: array([ 78.0129778 , 107.01348762, 135.20278324])
xopt: array([ 78., 107., 136.])
zopt: array([ 78., 185., 321.])
*******************************************
Period: 19
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-200.85440895, 194.16694282, 129.44462855]])
fopt: 0.9797190083496368
fun: -0.9790849137871417
message: 'Optimization terminated successfully.'
nfev: 418
nit: 6
status: 0
success: True
x: array([ 79.99961963, 105.00036163, 136.00302318])
xopt: array([ 80., 105., 137.])
zopt: array([ 80., 185., 322.])
*******************************************
Period: 20
direc: array([[ -19.19528171, 20.82076282, 21.03145044],
[-222.12810238, 92.45927515, 50.2137926 ],
[ 2.28208998, 11.0461307 , 11.16489573]])
fopt: 0.8339801148165282
fun: -0.8339103048189922
message: 'Optimization terminated successfully.'
nfev: 599
nit: 8
status: 0
success: True
x: array([ 79.73372178, 154.00011706, 116.21362841])
xopt: array([ 80., 154., 117.])
zopt: array([ 80., 234., 351.])
*******************************************
Period: 21
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-206.06939552, 123.04047266, 270.48727275]])
fopt: 0.7779823273788732
fun: -0.7749772933322571
message: 'Optimization terminated successfully.'
nfev: 303
nit: 5
status: 0
success: True
x: array([ 80.9990412 , 103.41794376, 274.72239222])
xopt: array([ 81., 103., 274.])
zopt: array([ 81., 184., 458.])
*******************************************
Period: 22
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-68.11194325, 65.1857083 , 115.65511137]])
fopt: 0.8970337917678665
fun: -0.8951103186082427
message: 'Optimization terminated successfully.'
nfev: 319
nit: 5
status: 0
success: True
x: array([ 80.99994029, 103. , 181.26300029])
xopt: array([ 81., 103., 182.])
zopt: array([ 81., 184., 366.])
*******************************************
Period: 23
direc: array([[ -2.71757204, 1.04993009, 8.2543244 ],
[ 0. , 1. , 0. ],
[-89.65038371, 89.65038501, 0. ]])
fopt: 0.9370762984241185
fun: -0.9360488341949864
message: 'Optimization terminated successfully.'
nfev: 1166
nit: 15
status: 0
success: True
x: array([ 80.39640203, 103. , 207.00065033])
xopt: array([ 81., 103., 207.])
zopt: array([ 81., 184., 391.])
*******************************************
Period: 24
direc: array([[-2.30731736e+02, 1.27082933e+02, 1.27087471e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.05016679e-02, 9.19867851e-01, 9.73897138e-01]])
fopt: 0.8155828721332015
fun: -0.8141955491934267
message: 'Optimization terminated successfully.'
nfev: 525
nit: 7
status: 0
success: True
x: array([ 80.97017463, 135.03822895, 136.38404766])
xopt: array([ 81., 135., 137.])
zopt: array([ 81., 216., 353.])
*******************************************
Period: 25
direc: array([[ -2.99999995, 2. , 0. ],
[ -1.83906576, 13.23262821, 52.38092943],
[-13.8657348 , 11.09258805, 0. ]])
fopt: 0.8448156006677587
fun: -0.8409728925506528
message: 'Optimization terminated successfully.'
nfev: 1248
nit: 16
status: 0
success: True
x: array([135.23783879, 43. , 213.22822704])
xopt: array([136., 44., 213.])
zopt: array([136., 180., 393.])
*******************************************
Period: 26
direc: array([[-2.25609525, 0. , 2.25609519],
[ 0. , 1. , 0. ],
[ 7.68411458, 12.64795121, 63.94019629]])
fopt: 0.7910067215097312
fun: -0.7903563997081472
message: 'Optimization terminated successfully.'
nfev: 507
nit: 7
status: 0
success: True
x: array([172.3016497 , 12. , 213.00168081])
xopt: array([172., 12., 213.])
zopt: array([172., 184., 397.])
*******************************************
Period: 27
direc: array([[ 5.90698054e-18, -1.11632257e-09, 3.72107519e-10],
[-2.32181744e+02, 1.58903968e+02, 1.58903968e+02],
[ 0.00000000e+00, 0.00000000e+00, 2.00000000e+00]])
fopt: 0.8261433382794644
fun: -0.8261102395918944
message: 'Optimization terminated successfully.'
nfev: 1103
nit: 12
status: 0
success: True
x: array([ 78.97854085, 155. , 186.00003557])
xopt: array([ 79., 155., 186.])
zopt: array([ 79., 234., 420.])
*******************************************
Period: 28
direc: array([[ 1. , 0. , 0. ],
[-231.56215081, 139.09073518, 92.72715679],
[ 0. , 0. , -0. ]])
fopt: 0.6902651407989059
fun: -0.6860952582537145
message: 'Optimization terminated successfully.'
nfev: 472
nit: 6
status: 0
success: True
x: array([ 80.87678205, 147.04031459, 97.70687639])
xopt: array([ 81., 148., 98.])
zopt: array([ 81., 229., 327.])
*******************************************
Period: 29
direc: array([[ 1. , 0. , 0. ],
[-12.18738273, 6.00000008, 4.00000005],
[ 0. , 0. , -0. ]])
fopt: 0.5619663094175474
fun: -0.5551049212782018
message: 'Optimization terminated successfully.'
nfev: 528
nit: 8
status: 0
success: True
x: array([ 80.99486691, 123.0214012 , 81.22622934])
xopt: array([ 81., 124., 82.])
zopt: array([ 81., 205., 287.])
*******************************************
Period: 30
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-230.42424148, 147.48133165, 196.56325088]])
fopt: 0.832335489086207
fun: -0.8323354775864589
message: 'Optimization terminated successfully.'
nfev: 412
nit: 6
status: 0
success: True
x: array([ 81. , 154.00000015, 186.0000053 ])
xopt: array([ 81., 154., 186.])
zopt: array([ 81., 235., 421.])
*******************************************
Period: 31
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.23077434, 0.04169674, 7.98546691]])
fopt: 0.8658817730083407
fun: -0.8652063298591381
message: 'Optimization terminated successfully.'
nfev: 513
nit: 9
status: 0
success: True
x: array([ 80.00001177, 105.00015461, 217.00000331])
xopt: array([ 80., 105., 218.])
zopt: array([ 80., 185., 403.])
*******************************************
Period: 32
direc: array([[-17.97630324, 6.052682 , 6.052682 ],
[ 0. , 1. , 0. ],
[ 1.20610579, 13.25590067, 69.90100729]])
fopt: 0.8431509919421938
fun: -0.841000375939167
message: 'Optimization terminated successfully.'
nfev: 543
nit: 9
status: 0
success: True
x: array([ 80.11981897, 104.0000115 , 216.0432501 ])
xopt: array([ 81., 104., 217.])
zopt: array([ 81., 185., 402.])
*******************************************
Period: 33
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-37.63803749, 46.86965723, 88.18747935]])
fopt: 0.8285179817319965
fun: -0.8277569273540434
message: 'Optimization terminated successfully.'
nfev: 418
nit: 7
status: 0
success: True
x: array([ 80.99998459, 104.00000018, 214.00001695])
xopt: array([ 81., 104., 215.])
zopt: array([ 81., 185., 400.])
*******************************************
Period: 34
direc: array([[-5.19316697e+01, 5.02025999e+01, 9.81486834e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.04926267e-01, 1.02755681e-02, 2.30845159e-04]])
fopt: 0.7987275528709064
fun: -0.7987082394720267
message: 'Optimization terminated successfully.'
nfev: 299
nit: 5
status: 0
success: True
x: array([ 80.99998901, 115.00268055, 226.00482591])
xopt: array([ 81., 115., 226.])
zopt: array([ 81., 196., 422.])
*******************************************
Period: 35
direc: array([[ 1. , 0. , 0. ],
[ -3.12142296, 3.01749489, 5.99781181],
[-70.05555025, -61.88599705, 93.54540505]])
fopt: 0.6962478548913423
fun: -0.6975896033267965
message: 'Optimization terminated successfully.'
nfev: 489
nit: 7
status: 0
success: True
x: array([186.846801 , -2.84680208, 226. ])
xopt: array([186., 0., 226.])
zopt: array([186., 186., 412.])
*******************************************
Period: 36
direc: array([[ 1. , 0. , 0. ],
[ 0.06570184, -0.05799881, -0.11445178],
[-54.12447053, 46.26015809, -0.66867982]])
fopt: 0.5648288884816256
fun: -0.5594646085595547
message: 'Optimization terminated successfully.'
nfev: 824
nit: 12
status: 0
success: True
x: array([ 81.00090854, 118.0000005 , 112.227977 ])
xopt: array([ 81., 119., 113.])
zopt: array([ 81., 200., 313.])
*******************************************
Period: 37
direc: array([[-10.54681406, 2.48976504, 4.99900011],
[ 0. , 1. , 0. ],
[-46.50839785, 95.58263995, 95.13764972]])
fopt: 0.7395890343479871
fun: -0.7387463151345777
message: 'Optimization terminated successfully.'
nfev: 366
nit: 6
status: 0
success: True
x: array([ 80.99999296, 149.00000001, 191.23469059])
xopt: array([ 80., 149., 192.])
zopt: array([ 80., 229., 421.])
*******************************************
Period: 38
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-46.16344212, 33.10313775, 65.7105653 ]])
fopt: 0.7676567521800359
fun: -0.7645618834650516
message: 'Optimization terminated successfully.'
nfev: 406
nit: 6
status: 0
success: True
x: array([ 80.99973136, 108. , 212.05504956])
xopt: array([ 81., 108., 213.])
zopt: array([ 81., 189., 402.])
*******************************************
Period: 39
direc: array([[ 3.45454528e-03, 9.67412083e-01, -2.62174927e-03],
[-9.02910913e-04, -9.63452230e-05, -0.00000000e+00],
[-1.95735549e+01, 1.01232408e+01, 1.01522542e+01]])
fopt: 0.6149234671510793
fun: -0.6077608977796836
message: 'Optimization terminated successfully.'
nfev: 647
nit: 9
status: 0
success: True
x: array([ 70.44921019, 98.00039586, 156.38861247])
xopt: array([ 71., 99., 157.])
zopt: array([ 71., 170., 327.])
*******************************************
Period: 40
direc: array([[-10.72622815, 10.85063865, 10.98208967],
[ 0. , 1. , 0. ],
[ -4.83240209, 39.12993023, 37.63671513]])
fopt: 0.6976251893035554
fun: -0.6934561514485131
message: 'Optimization terminated successfully.'
nfev: 562
nit: 8
status: 0
success: True
x: array([ 72.34868836, 155. , 185.57638099])
xopt: array([ 73., 155., 186.])
zopt: array([ 73., 228., 414.])
*******************************************
Period: 41
direc: array([[ -1.91180521, 0. , 2.00000003],
[ 0. , 1. , 0. ],
[-11.46792624, 6.2438892 , 40.4834941 ]])
fopt: 0.6770520819730697
fun: -0.6767841997266308
message: 'Optimization terminated successfully.'
nfev: 535
nit: 8
status: 0
success: True
x: array([168.42925856, 16.00001858, 236. ])
xopt: array([168., 16., 236.])
zopt: array([168., 184., 420.])
*******************************************
Period: 42
direc: array([[-2.84427964, 0. , 2.00809362],
[ 0. , 1. , 0. ],
[ 1.08943975, 33.13109716, 87.54777196]])
fopt: 0.6740709166918777
fun: -0.6732084042209315
message: 'Optimization terminated successfully.'
nfev: 592
nit: 7
status: 0
success: True
x: array([146.89999799, 38.0000016 , 232. ])
xopt: array([146., 39., 233.])
zopt: array([146., 185., 418.])
*******************************************
Period: 43
direc: array([[-20.44939735, 46.20434521, 64.00406591],
[ 0. , 1. , 0. ],
[-26.22849186, 26.22849277, 0. ]])
fopt: 0.7277418153193911
fun: -0.7273796684227614
message: 'Optimization terminated successfully.'
nfev: 1696
nit: 22
status: 0
success: True
x: array([ 80.77835515, 104. , 237.005959 ])
xopt: array([ 81., 104., 237.])
zopt: array([ 81., 185., 422.])
*******************************************
Period: 44
direc: array([[-2.36210969e-03, 1.18624105e-03, 1.14538471e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.97870084e-04, 3.20195141e+01, 1.82967468e+01]])
fopt: 0.25379559393890816
fun: -0.2525396433253065
message: 'Optimization terminated successfully.'
nfev: 511
nit: 8
status: 0
success: True
x: array([338.03887994, 48. , 30.28568183])
xopt: array([338., 48., 31.])
zopt: array([338., 386., 417.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5jeprygl.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo1m7c8ux.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.39124
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.08463 0.39124
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084625924167e+00, best bound 1.084625924167e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg40qess5.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp45mqlqn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.154547
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.906017e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.9060173 1.90602 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.90602 0.154547
Optimal solution found (tolerance 1.00e-02)
Best objective 1.906017256721e+00, best bound 1.906017256721e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5xl08rd5.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsmj4p11c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.976381
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.192749e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19275 0 3 0.97638 2.19275 125% - 0s
H 0 0 1.9534523 2.19275 12.2% - 0s
0 0 cutoff 0 1.95345 1.95345 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.95345 0.976381
Optimal solution found (tolerance 1.00e-02)
Best objective 1.953452330675e+00, best bound 1.953452330675e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjowpmgsi.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_jp2fpf_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.38899
Presolve removed 147 rows and 104 columns
Presolve time: 0.01s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 1.708215e+00, 22 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52923 0 3 1.38899 1.52923 10.1% - 0s
H 0 0 1.4617216 1.52923 4.62% - 0s
0 0 cutoff 0 1.46172 1.46172 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Explored 1 nodes (25 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.46172 1.38899
Optimal solution found (tolerance 1.00e-02)
Best objective 1.461721638370e+00, best bound 1.461721638370e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpipgonjj2.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp568cb6w1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1395
Presolve removed 161 rows and 112 columns
Presolve time: 0.01s
Presolved: 76 rows, 63 columns, 262 nonzeros
Variable types: 33 continuous, 30 integer (26 binary)
Root relaxation: objective 1.441710e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44171 0 9 1.13950 1.44171 26.5% - 0s
H 0 0 1.2243307 1.44171 17.8% - 0s
0 0 cutoff 0 1.22433 1.22433 0.00% - 0s
Cutting planes:
Gomory: 5
MIR: 5
Flow cover: 3
Explored 1 nodes (59 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.22433 1.1395
Optimal solution found (tolerance 1.00e-02)
Best objective 1.224330734176e+00, best bound 1.224330734176e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnh05lxbr.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr37mistn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829434
Presolve removed 136 rows and 91 columns
Presolve time: 0.01s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.557010e+00, 96 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.55701 0 11 0.82943 2.55701 208% - 0s
0 0 2.19355 0 9 0.82943 2.19355 164% - 0s
0 0 2.17601 0 8 0.82943 2.17601 162% - 0s
0 0 2.17594 0 8 0.82943 2.17594 162% - 0s
0 0 2.16206 0 9 0.82943 2.16206 161% - 0s
0 0 2.11910 0 9 0.82943 2.11910 155% - 0s
H 0 0 1.0994769 2.11910 92.7% - 0s
0 0 2.11889 0 9 1.09948 2.11889 92.7% - 0s
0 0 2.10289 0 9 1.09948 2.10289 91.3% - 0s
0 0 2.10289 0 10 1.09948 2.10289 91.3% - 0s
0 0 2.10289 0 8 1.09948 2.10289 91.3% - 0s
H 0 0 1.1438815 2.10289 83.8% - 0s
0 0 2.10289 0 8 1.14388 2.10289 83.8% - 0s
0 0 2.10289 0 8 1.14388 2.10289 83.8% - 0s
0 0 2.10289 0 8 1.14388 2.10289 83.8% - 0s
H 0 0 1.1527873 2.10289 82.4% - 0s
0 2 2.10289 0 8 1.15279 2.10289 82.4% - 0s
H 3 5 1.2485328 1.95461 56.6% 4.3 0s
H 4 5 1.2771759 1.95461 53.0% 3.5 0s
H 8 4 1.2925389 1.85803 43.8% 5.0 0s
Cutting planes:
Gomory: 5
Cover: 3
Implied bound: 4
Clique: 1
Flow cover: 9
Explored 19 nodes (268 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.29254 1.27718 1.24853 ... 0.829434
Optimal solution found (tolerance 1.00e-02)
Best objective 1.292538871913e+00, best bound 1.292538871913e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9sgqdqsp.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_rh_qant.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01796
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.489408e+00, 149 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.48941 0 13 1.01796 2.48941 145% - 0s
0 0 2.24296 0 15 1.01796 2.24296 120% - 0s
H 0 0 1.1321126 2.24296 98.1% - 0s
0 0 2.24296 0 15 1.13211 2.24296 98.1% - 0s
0 0 2.14120 0 15 1.13211 2.14120 89.1% - 0s
0 0 2.13633 0 15 1.13211 2.13633 88.7% - 0s
0 0 2.13603 0 15 1.13211 2.13603 88.7% - 0s
0 0 2.13049 0 16 1.13211 2.13049 88.2% - 0s
0 0 2.12492 0 16 1.13211 2.12492 87.7% - 0s
0 0 1.98497 0 17 1.13211 1.98497 75.3% - 0s
0 0 1.98464 0 16 1.13211 1.98464 75.3% - 0s
0 0 1.98464 0 16 1.13211 1.98464 75.3% - 0s
H 0 0 1.2613699 1.98464 57.3% - 0s
H 0 0 1.2799544 1.98464 55.1% - 0s
0 2 1.98464 0 14 1.27995 1.98464 55.1% - 0s
H 9 8 1.3204741 1.92908 46.1% 4.8 0s
* 25 3 7 1.3236459 1.46361 10.6% 5.2 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 5
Clique: 1
MIR: 2
Flow cover: 12
Explored 50 nodes (473 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.32365 1.32047 1.27995 ... 1.01796
Optimal solution found (tolerance 1.00e-02)
Best objective 1.323645862694e+00, best bound 1.323645862694e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw9d8cwwc.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplg6mui2g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0643
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.421479e+00, 154 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.42148 0 15 1.06430 2.42148 128% - 0s
0 0 2.09561 0 18 1.06430 2.09561 96.9% - 0s
0 0 2.09535 0 20 1.06430 2.09535 96.9% - 0s
0 0 2.09535 0 20 1.06430 2.09535 96.9% - 0s
0 0 2.06546 0 18 1.06430 2.06546 94.1% - 0s
0 0 2.00658 0 18 1.06430 2.00658 88.5% - 0s
0 0 2.00658 0 18 1.06430 2.00658 88.5% - 0s
0 0 1.99137 0 16 1.06430 1.99137 87.1% - 0s
0 0 1.99012 0 16 1.06430 1.99012 87.0% - 0s
0 0 1.98521 0 16 1.06430 1.98521 86.5% - 0s
0 0 1.98464 0 16 1.06430 1.98464 86.5% - 0s
0 0 1.98291 0 18 1.06430 1.98291 86.3% - 0s
0 0 1.98291 0 16 1.06430 1.98291 86.3% - 0s
0 0 1.98279 0 20 1.06430 1.98279 86.3% - 0s
0 0 1.98279 0 20 1.06430 1.98279 86.3% - 0s
H 0 0 1.2126269 1.98279 63.5% - 0s
0 2 1.98279 0 16 1.21263 1.98279 63.5% - 0s
* 73 0 11 1.2680814 1.26808 0.00% 4.4 0s
Cutting planes:
Gomory: 7
Cover: 3
Implied bound: 6
MIR: 3
Flow cover: 13
Inf proof: 1
Explored 80 nodes (664 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.26808 1.21263 1.0643
Optimal solution found (tolerance 1.00e-02)
Best objective 1.268081365544e+00, best bound 1.268081365544e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplcr80bjx.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpha3kqssp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03987
Presolve removed 179 rows and 116 columns
Presolve time: 0.00s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.338330e+00, 182 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33833 0 16 1.03987 2.33833 125% - 0s
0 0 2.02813 0 14 1.03987 2.02813 95.0% - 0s
0 0 2.02810 0 14 1.03987 2.02810 95.0% - 0s
0 0 2.01657 0 19 1.03987 2.01657 93.9% - 0s
0 0 2.01614 0 20 1.03987 2.01614 93.9% - 0s
0 0 2.01609 0 18 1.03987 2.01609 93.9% - 0s
0 0 2.00629 0 18 1.03987 2.00629 92.9% - 0s
0 0 1.94949 0 18 1.03987 1.94949 87.5% - 0s
0 0 1.94898 0 21 1.03987 1.94898 87.4% - 0s
0 0 1.94898 0 21 1.03987 1.94898 87.4% - 0s
0 0 1.94834 0 22 1.03987 1.94834 87.4% - 0s
0 0 1.94834 0 20 1.03987 1.94834 87.4% - 0s
H 0 0 1.2636610 1.94834 54.2% - 0s
0 2 1.94834 0 20 1.26366 1.94834 54.2% - 0s
* 106 13 12 1.2981545 1.46183 12.6% 5.3 0s
Cutting planes:
Gomory: 8
Implied bound: 10
Clique: 2
MIR: 2
Flow cover: 17
Inf proof: 3
Explored 143 nodes (1021 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.29815 1.26366 1.03987
Optimal solution found (tolerance 1.00e-02)
Best objective 1.298154508957e+00, best bound 1.298154508957e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvm81r1fp.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8glxxmgl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14814
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.116298e+00, 186 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11630 0 18 1.14814 2.11630 84.3% - 0s
0 0 1.84045 0 19 1.14814 1.84045 60.3% - 0s
0 0 1.84045 0 19 1.14814 1.84045 60.3% - 0s
0 0 1.82763 0 21 1.14814 1.82763 59.2% - 0s
0 0 1.82723 0 22 1.14814 1.82723 59.1% - 0s
0 0 1.82717 0 20 1.14814 1.82717 59.1% - 0s
0 0 1.77513 0 21 1.14814 1.77513 54.6% - 0s
0 0 1.77485 0 21 1.14814 1.77485 54.6% - 0s
0 0 1.77406 0 22 1.14814 1.77406 54.5% - 0s
0 0 1.77406 0 22 1.14814 1.77406 54.5% - 0s
H 0 0 1.1628177 1.77406 52.6% - 0s
0 2 1.77406 0 22 1.16282 1.77406 52.6% - 0s
* 104 2 11 1.1640410 1.30252 11.9% 5.8 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 12
Clique: 1
MIR: 6
Flow cover: 23
Inf proof: 1
Explored 116 nodes (996 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16404 1.16282 1.14814
Optimal solution found (tolerance 1.00e-02)
Best objective 1.164041046605e+00, best bound 1.164041046605e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwtmxgx2z.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplfo7kquf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04404
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 1.984889e+00, 229 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98489 0 20 1.04404 1.98489 90.1% - 0s
0 0 1.72245 0 31 1.04404 1.72245 65.0% - 0s
0 0 1.72245 0 31 1.04404 1.72245 65.0% - 0s
0 0 1.69214 0 34 1.04404 1.69214 62.1% - 0s
0 0 1.69210 0 33 1.04404 1.69210 62.1% - 0s
0 0 1.67055 0 36 1.04404 1.67055 60.0% - 0s
0 0 1.66723 0 35 1.04404 1.66723 59.7% - 0s
0 0 1.66723 0 35 1.04404 1.66723 59.7% - 0s
0 0 1.65288 0 40 1.04404 1.65288 58.3% - 0s
0 0 1.64833 0 36 1.04404 1.64833 57.9% - 0s
0 0 1.64833 0 38 1.04404 1.64833 57.9% - 0s
0 0 1.64492 0 39 1.04404 1.64492 57.6% - 0s
0 0 1.64449 0 40 1.04404 1.64449 57.5% - 0s
0 0 1.64449 0 40 1.04404 1.64449 57.5% - 0s
0 0 1.64447 0 38 1.04404 1.64447 57.5% - 0s
0 0 1.64447 0 38 1.04404 1.64447 57.5% - 0s
0 2 1.64447 0 38 1.04404 1.64447 57.5% - 0s
* 84 10 17 1.0866341 1.23556 13.7% 6.8 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 10
Clique: 1
MIR: 2
Flow cover: 30
Explored 114 nodes (1166 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.08663 1.04404
Optimal solution found (tolerance 1.00e-02)
Best objective 1.086634071450e+00, best bound 1.086634071450e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpksm14max.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbrny_c9j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.947364
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.228810e+00, 315 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22881 0 23 0.94736 2.22881 135% - 0s
0 0 1.95458 0 23 0.94736 1.95458 106% - 0s
0 0 1.95399 0 27 0.94736 1.95399 106% - 0s
0 0 1.95399 0 27 0.94736 1.95399 106% - 0s
0 0 1.90856 0 30 0.94736 1.90856 101% - 0s
0 0 1.90668 0 31 0.94736 1.90668 101% - 0s
0 0 1.90313 0 30 0.94736 1.90313 101% - 0s
0 0 1.90313 0 29 0.94736 1.90313 101% - 0s
0 0 1.89404 0 30 0.94736 1.89404 100% - 0s
0 0 1.89404 0 30 0.94736 1.89404 100% - 0s
0 0 1.89109 0 31 0.94736 1.89109 100% - 0s
0 0 1.89062 0 31 0.94736 1.89062 100% - 0s
0 0 1.89062 0 31 0.94736 1.89062 100% - 0s
0 2 1.89062 0 31 0.94736 1.89062 100% - 0s
* 132 43 21 1.0238372 1.60603 56.9% 6.3 0s
* 203 47 23 1.1279758 1.52400 35.1% 5.2 0s
* 344 56 21 1.1503528 1.31551 14.4% 4.4 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 15
MIR: 7
Flow cover: 21
Flow path: 1
Inf proof: 5
Explored 522 nodes (2630 simplex iterations) in 0.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.15035 1.12798 1.02384 0.947364
Optimal solution found (tolerance 1.00e-02)
Best objective 1.150352817712e+00, best bound 1.154708899178e+00, gap 0.3787%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuoyrjzel.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc7degryi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01038
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.170983e+00, 313 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17098 0 26 1.01038 2.17098 115% - 0s
0 0 1.90008 0 27 1.01038 1.90008 88.1% - 0s
0 0 1.89946 0 31 1.01038 1.89946 88.0% - 0s
0 0 1.89946 0 31 1.01038 1.89946 88.0% - 0s
0 0 1.85725 0 33 1.01038 1.85725 83.8% - 0s
0 0 1.85707 0 32 1.01038 1.85707 83.8% - 0s
0 0 1.85211 0 33 1.01038 1.85211 83.3% - 0s
0 0 1.84976 0 33 1.01038 1.84976 83.1% - 0s
0 0 1.84903 0 31 1.01038 1.84903 83.0% - 0s
0 0 1.83982 0 33 1.01038 1.83982 82.1% - 0s
0 0 1.83889 0 33 1.01038 1.83889 82.0% - 0s
0 0 1.83511 0 34 1.01038 1.83511 81.6% - 0s
0 0 1.83470 0 39 1.01038 1.83470 81.6% - 0s
0 0 1.83454 0 40 1.01038 1.83454 81.6% - 0s
0 0 1.83288 0 35 1.01038 1.83288 81.4% - 0s
0 0 1.83283 0 35 1.01038 1.83283 81.4% - 0s
0 0 1.83000 0 42 1.01038 1.83000 81.1% - 0s
0 0 1.82971 0 42 1.01038 1.82971 81.1% - 0s
0 0 1.82971 0 42 1.01038 1.82971 81.1% - 0s
0 0 1.82971 0 42 1.01038 1.82971 81.1% - 0s
0 2 1.82971 0 36 1.01038 1.82971 81.1% - 0s
* 106 54 21 1.1131045 1.62940 46.4% 7.2 0s
H 146 49 1.1609567 1.51409 30.4% 6.5 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 13
MIR: 7
Flow cover: 28
Explored 322 nodes (2342 simplex iterations) in 0.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16096 1.1131 1.01038
Optimal solution found (tolerance 1.00e-02)
Best objective 1.160956746641e+00, best bound 1.160956746641e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpljgh5no0.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2q159ens.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03977
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.139166e+00, 306 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13917 0 29 1.03977 2.13917 106% - 0s
0 0 1.87412 0 33 1.03977 1.87412 80.2% - 0s
0 0 1.87361 0 35 1.03977 1.87361 80.2% - 0s
0 0 1.87361 0 34 1.03977 1.87361 80.2% - 0s
0 0 1.86759 0 31 1.03977 1.86759 79.6% - 0s
0 0 1.86556 0 35 1.03977 1.86556 79.4% - 0s
0 0 1.86536 0 37 1.03977 1.86536 79.4% - 0s
0 0 1.86472 0 33 1.03977 1.86472 79.3% - 0s
0 0 1.86472 0 33 1.03977 1.86472 79.3% - 0s
0 0 1.84984 0 34 1.03977 1.84984 77.9% - 0s
0 0 1.84980 0 35 1.03977 1.84980 77.9% - 0s
0 0 1.79862 0 35 1.03977 1.79862 73.0% - 0s
0 0 1.78858 0 34 1.03977 1.78858 72.0% - 0s
0 0 1.78071 0 37 1.03977 1.78071 71.3% - 0s
0 0 1.78066 0 38 1.03977 1.78066 71.3% - 0s
0 0 1.77808 0 41 1.03977 1.77808 71.0% - 0s
0 0 1.77759 0 38 1.03977 1.77759 71.0% - 0s
0 0 1.77693 0 41 1.03977 1.77693 70.9% - 0s
0 0 1.77693 0 35 1.03977 1.77693 70.9% - 0s
0 2 1.77693 0 35 1.03977 1.77693 70.9% - 0s
* 132 70 29 1.1306914 1.61692 43.0% 6.8 0s
Cutting planes:
Gomory: 7
Implied bound: 11
Clique: 1
MIR: 5
Flow cover: 24
Inf proof: 11
Explored 865 nodes (5149 simplex iterations) in 0.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.13069 1.03977
Optimal solution found (tolerance 1.00e-02)
Best objective 1.130691439960e+00, best bound 1.130691439960e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3zsukb6m.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe_7bjmwq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00407
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.131195e+00, 359 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13120 0 30 1.00407 2.13120 112% - 0s
0 0 1.85586 0 24 1.00407 1.85586 84.8% - 0s
0 0 1.85538 0 25 1.00407 1.85538 84.8% - 0s
0 0 1.85538 0 27 1.00407 1.85538 84.8% - 0s
0 0 1.84343 0 22 1.00407 1.84343 83.6% - 0s
0 0 1.84117 0 29 1.00407 1.84117 83.4% - 0s
0 0 1.83582 0 30 1.00407 1.83582 82.8% - 0s
0 0 1.82875 0 32 1.00407 1.82875 82.1% - 0s
0 0 1.82832 0 34 1.00407 1.82832 82.1% - 0s
0 0 1.76502 0 35 1.00407 1.76502 75.8% - 0s
0 0 1.76500 0 38 1.00407 1.76500 75.8% - 0s
0 0 1.76460 0 38 1.00407 1.76460 75.7% - 0s
0 0 1.76460 0 27 1.00407 1.76460 75.7% - 0s
0 2 1.76460 0 27 1.00407 1.76460 75.7% - 0s
* 167 75 34 1.1760758 1.60608 36.6% 6.4 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 9
Clique: 1
MIR: 4
Flow cover: 28
Inf proof: 3
Explored 610 nodes (3811 simplex iterations) in 0.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.17608 1.00407
Optimal solution found (tolerance 1.00e-02)
Best objective 1.176075802761e+00, best bound 1.176075802761e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu0dn8i25.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppzr0shi_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0662
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.075358e+00, 343 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07536 0 32 1.06620 2.07536 94.7% - 0s
0 0 1.81041 0 28 1.06620 1.81041 69.8% - 0s
0 0 1.80996 0 25 1.06620 1.80996 69.8% - 0s
0 0 1.80995 0 27 1.06620 1.80995 69.8% - 0s
0 0 1.79882 0 26 1.06620 1.79882 68.7% - 0s
0 0 1.79662 0 32 1.06620 1.79662 68.5% - 0s
0 0 1.79160 0 30 1.06620 1.79160 68.0% - 0s
0 0 1.78469 0 32 1.06620 1.78469 67.4% - 0s
0 0 1.78426 0 34 1.06620 1.78426 67.3% - 0s
0 0 1.72521 0 34 1.06620 1.72521 61.8% - 0s
0 0 1.72512 0 34 1.06620 1.72512 61.8% - 0s
0 0 1.72350 0 35 1.06620 1.72350 61.6% - 0s
0 0 1.72350 0 32 1.06620 1.72350 61.6% - 0s
0 2 1.72350 0 32 1.06620 1.72350 61.6% - 0s
* 712 26 25 1.1353498 1.23298 8.60% 5.3 0s
* 744 17 32 1.1526685 1.23298 6.97% 5.2 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 10
MIR: 8
Flow cover: 32
Inf proof: 7
Explored 829 nodes (4990 simplex iterations) in 0.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.15267 1.13535 1.0662
Optimal solution found (tolerance 1.00e-02)
Best objective 1.152668518466e+00, best bound 1.152668518466e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdkokveod.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpts3qne0c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05263
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.041783e+00, 443 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04178 0 35 1.05263 2.04178 94.0% - 0s
0 0 1.78567 0 32 1.05263 1.78567 69.6% - 0s
0 0 1.78525 0 29 1.05263 1.78525 69.6% - 0s
0 0 1.78525 0 31 1.05263 1.78525 69.6% - 0s
0 0 1.77474 0 36 1.05263 1.77474 68.6% - 0s
0 0 1.77265 0 39 1.05263 1.77265 68.4% - 0s
0 0 1.76796 0 40 1.05263 1.76796 68.0% - 0s
0 0 1.76794 0 41 1.05263 1.76794 68.0% - 0s
0 0 1.75794 0 50 1.05263 1.75794 67.0% - 0s
0 0 1.75755 0 52 1.05263 1.75755 67.0% - 0s
0 0 1.70007 0 48 1.05263 1.70007 61.5% - 0s
0 0 1.70006 0 48 1.05263 1.70006 61.5% - 0s
0 0 1.70006 0 49 1.05263 1.70006 61.5% - 0s
0 0 1.70006 0 39 1.05263 1.70006 61.5% - 0s
0 2 1.70006 0 36 1.05263 1.70006 61.5% - 0s
* 448 158 44 1.1359792 1.38488 21.9% 7.2 0s
* 714 107 38 1.1522792 1.28366 11.4% 6.9 0s
Cutting planes:
Gomory: 12
Cover: 5
Implied bound: 11
MIR: 9
Flow cover: 37
Inf proof: 9
Explored 1088 nodes (7585 simplex iterations) in 0.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.15228 1.13598 1.05263
Optimal solution found (tolerance 1.00e-02)
Best objective 1.152279169829e+00, best bound 1.155995050702e+00, gap 0.3225%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp35hv1zar.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsnmoc91z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05884
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.980544e+00, 448 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98054 0 40 1.05884 1.98054 87.0% - 0s
0 0 1.72572 0 40 1.05884 1.72572 63.0% - 0s
0 0 1.72528 0 38 1.05884 1.72528 62.9% - 0s
0 0 1.72527 0 40 1.05884 1.72527 62.9% - 0s
0 0 1.68829 0 43 1.05884 1.68829 59.4% - 0s
0 0 1.68786 0 44 1.05884 1.68786 59.4% - 0s
0 0 1.68336 0 45 1.05884 1.68336 59.0% - 0s
0 0 1.67928 0 51 1.05884 1.67928 58.6% - 0s
0 0 1.67928 0 53 1.05884 1.67928 58.6% - 0s
0 0 1.67822 0 54 1.05884 1.67822 58.5% - 0s
0 0 1.67822 0 42 1.05884 1.67822 58.5% - 0s
0 2 1.67822 0 39 1.05884 1.67822 58.5% - 0s
* 516 125 45 1.1004379 1.29046 17.3% 7.0 0s
* 658 152 52 1.1158323 1.27222 14.0% 6.5 0s
Cutting planes:
Gomory: 14
Cover: 1
Implied bound: 16
MIR: 6
Flow cover: 29
Inf proof: 6
Explored 1150 nodes (7240 simplex iterations) in 0.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.11583 1.10044 1.05884
Optimal solution found (tolerance 1.00e-02)
Best objective 1.115832328234e+00, best bound 1.115832328234e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2sa8zp6l.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2_whd6wf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03859
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.888741e+00, 495 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88874 0 43 1.03859 1.88874 81.9% - 0s
0 0 1.64060 0 39 1.03859 1.64060 58.0% - 0s
0 0 1.64018 0 41 1.03859 1.64018 57.9% - 0s
0 0 1.64017 0 43 1.03859 1.64017 57.9% - 0s
0 0 1.60511 0 46 1.03859 1.60511 54.5% - 0s
0 0 1.60469 0 51 1.03859 1.60469 54.5% - 0s
0 0 1.60047 0 46 1.03859 1.60047 54.1% - 0s
0 0 1.60046 0 48 1.03859 1.60046 54.1% - 0s
0 0 1.59322 0 55 1.03859 1.59322 53.4% - 0s
0 0 1.59322 0 55 1.03859 1.59322 53.4% - 0s
0 0 1.59076 0 58 1.03859 1.59076 53.2% - 0s
0 0 1.59076 0 59 1.03859 1.59076 53.2% - 0s
0 0 1.58958 0 56 1.03859 1.58958 53.1% - 0s
0 0 1.58958 0 44 1.03859 1.58958 53.1% - 0s
0 2 1.58958 0 43 1.03859 1.58958 53.1% - 0s
* 1013 8 50 1.0494355 1.06166 1.16% 8.1 0s
Cutting planes:
Gomory: 12
Implied bound: 14
MIR: 6
Flow cover: 37
Inf proof: 12
Explored 1048 nodes (9333 simplex iterations) in 0.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.04944 1.03859
Optimal solution found (tolerance 1.00e-02)
Best objective 1.049435526021e+00, best bound 1.049435526021e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprpzkl67p.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4k8jls5o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.972655
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.828076e+00, 506 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82808 0 46 0.97265 1.82808 87.9% - 0s
0 0 1.58093 0 46 0.97265 1.58093 62.5% - 0s
0 0 1.58058 0 45 0.97265 1.58058 62.5% - 0s
0 0 1.58057 0 47 0.97265 1.58057 62.5% - 0s
0 0 1.57036 0 50 0.97265 1.57036 61.5% - 0s
0 0 1.56842 0 51 0.97265 1.56842 61.3% - 0s
0 0 1.56444 0 50 0.97265 1.56444 60.8% - 0s
0 0 1.56443 0 51 0.97265 1.56443 60.8% - 0s
0 0 1.55559 0 59 0.97265 1.55559 59.9% - 0s
0 0 1.55524 0 61 0.97265 1.55524 59.9% - 0s
0 0 1.50648 0 56 0.97265 1.50648 54.9% - 0s
0 0 1.50647 0 56 0.97265 1.50647 54.9% - 0s
0 0 1.50647 0 60 0.97265 1.50647 54.9% - 0s
0 0 1.50647 0 53 0.97265 1.50647 54.9% - 0s
0 2 1.50647 0 52 0.97265 1.50647 54.9% - 0s
* 1650 313 65 0.9873838 1.08697 10.1% 6.9 1s
Cutting planes:
Gomory: 12
Cover: 7
Implied bound: 20
MIR: 15
Flow cover: 54
Inf proof: 39
Explored 2675 nodes (18753 simplex iterations) in 1.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.987384 0.972655
Optimal solution found (tolerance 1.00e-02)
Best objective 9.873837680219e-01, best bound 9.873837680219e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp06b43095.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfmggov7z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.92236
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.747006e+00, 529 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74701 0 50 0.92236 1.74701 89.4% - 0s
0 0 1.49241 0 49 0.92236 1.49241 61.8% - 0s
0 0 1.49207 0 50 0.92236 1.49207 61.8% - 0s
0 0 1.49207 0 52 0.92236 1.49207 61.8% - 0s
0 0 1.48175 0 50 0.92236 1.48175 60.6% - 0s
0 0 1.48035 0 55 0.92236 1.48035 60.5% - 0s
0 0 1.47655 0 53 0.92236 1.47655 60.1% - 0s
0 0 1.47654 0 55 0.92236 1.47654 60.1% - 0s
0 0 1.47164 0 59 0.92236 1.47164 59.6% - 0s
0 0 1.47108 0 63 0.92236 1.47108 59.5% - 0s
0 0 1.43797 0 62 0.92236 1.43797 55.9% - 0s
0 0 1.43796 0 65 0.92236 1.43796 55.9% - 0s
0 0 1.43670 0 62 0.92236 1.43670 55.8% - 0s
0 0 1.43670 0 62 0.92236 1.43670 55.8% - 0s
0 0 1.43660 0 64 0.92236 1.43660 55.8% - 0s
0 0 1.43660 0 64 0.92236 1.43660 55.8% - 0s
0 2 1.43660 0 57 0.92236 1.43660 55.8% - 0s
* 1435 74 68 0.9294259 0.96308 3.62% 7.0 1s
Cutting planes:
Gomory: 14
Cover: 3
Implied bound: 18
MIR: 16
Flow cover: 57
Inf proof: 18
Explored 1705 nodes (12664 simplex iterations) in 1.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.929426 0.92236
Optimal solution found (tolerance 1.00e-02)
Best objective 9.294258859406e-01, best bound 9.361524974936e-01, gap 0.7237%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqqxhevi4.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv0cnr3cq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.91817
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.841180e+00, 576 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84118 0 52 0.91817 1.84118 101% - 0s
0 0 1.60829 0 51 0.91817 1.60829 75.2% - 0s
0 0 1.60786 0 53 0.91817 1.60786 75.1% - 0s
0 0 1.60783 0 55 0.91817 1.60783 75.1% - 0s
0 0 1.56234 0 63 0.91817 1.56234 70.2% - 0s
0 0 1.55874 0 65 0.91817 1.55874 69.8% - 0s
0 0 1.55874 0 66 0.91817 1.55874 69.8% - 0s
0 0 1.54787 0 73 0.91817 1.54787 68.6% - 0s
0 0 1.54658 0 74 0.91817 1.54658 68.4% - 0s
0 0 1.54658 0 74 0.91817 1.54658 68.4% - 0s
0 0 1.53818 0 75 0.91817 1.53818 67.5% - 0s
0 0 1.53799 0 75 0.91817 1.53799 67.5% - 0s
0 0 1.53771 0 76 0.91817 1.53771 67.5% - 0s
0 0 1.53771 0 68 0.91817 1.53771 67.5% - 0s
0 2 1.53771 0 68 0.91817 1.53771 67.5% - 0s
* 577 342 73 0.9200335 1.34338 46.0% 9.6 0s
* 1090 402 68 0.9250108 1.13677 22.9% 11.8 3s
* 1453 344 61 0.9376062 1.07729 14.9% 11.1 4s
Cutting planes:
Learned: 2
Gomory: 40
Cover: 1
Implied bound: 9
Projected implied bound: 25
Clique: 2
MIR: 19
Flow cover: 68
Inf proof: 16
Explored 2281 nodes (25219 simplex iterations) in 4.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.937606 0.925011 0.920034 0.91817
Optimal solution found (tolerance 1.00e-02)
Best objective 9.376062457244e-01, best bound 9.434127606715e-01, gap 0.6193%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkz_hg5ye.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4qv2k3pm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.933203
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.805888e+00, 525 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80589 0 52 0.93320 1.80589 93.5% - 0s
0 0 1.60752 0 43 0.93320 1.60752 72.3% - 0s
0 0 1.60721 0 40 0.93320 1.60721 72.2% - 0s
0 0 1.60721 0 42 0.93320 1.60721 72.2% - 0s
0 0 1.59938 0 46 0.93320 1.59938 71.4% - 0s
0 0 1.59788 0 54 0.93320 1.59788 71.2% - 0s
0 0 1.59443 0 54 0.93320 1.59443 70.9% - 0s
0 0 1.59441 0 56 0.93320 1.59441 70.9% - 0s
0 0 1.59032 0 57 0.93320 1.59032 70.4% - 0s
0 0 1.59009 0 59 0.93320 1.59009 70.4% - 0s
0 0 1.54801 0 61 0.93320 1.54801 65.9% - 0s
0 0 1.54801 0 61 0.93320 1.54801 65.9% - 0s
0 0 1.54723 0 61 0.93320 1.54723 65.8% - 0s
0 0 1.54723 0 55 0.93320 1.54723 65.8% - 0s
0 2 1.54723 0 51 0.93320 1.54723 65.8% - 0s
* 300 188 73 0.9370763 1.43112 52.7% 10.0 0s
Cutting planes:
Gomory: 19
Cover: 27
Implied bound: 40
MIR: 13
Flow cover: 51
Inf proof: 75
Explored 5415 nodes (44002 simplex iterations) in 4.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.937076 0.933203
Optimal solution found (tolerance 1.00e-02)
Best objective 9.370762984241e-01, best bound 9.370762984241e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb7nmavnp.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvdj6v9n5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.948682
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.799625e+00, 628 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79963 0 52 0.94868 1.79963 89.7% - 0s
0 0 1.74415 0 56 0.94868 1.74415 83.8% - 0s
0 0 1.74385 0 54 0.94868 1.74385 83.8% - 0s
0 0 1.73983 0 59 0.94868 1.73983 83.4% - 0s
0 0 1.73830 0 62 0.94868 1.73830 83.2% - 0s
0 0 1.72967 0 67 0.94868 1.72967 82.3% - 0s
0 0 1.72963 0 67 0.94868 1.72963 82.3% - 0s
0 0 1.72689 0 68 0.94868 1.72689 82.0% - 0s
0 0 1.72205 0 71 0.94868 1.72205 81.5% - 0s
0 0 1.70545 0 74 0.94868 1.70545 79.8% - 0s
0 0 1.69685 0 73 0.94868 1.69685 78.9% - 0s
0 0 1.69659 0 72 0.94868 1.69659 78.8% - 0s
0 0 1.69631 0 72 0.94868 1.69631 78.8% - 0s
0 0 1.69459 0 75 0.94868 1.69459 78.6% - 0s
0 0 1.69397 0 76 0.94868 1.69397 78.6% - 0s
0 0 1.69396 0 77 0.94868 1.69396 78.6% - 0s
0 0 1.69396 0 77 0.94868 1.69396 78.6% - 0s
0 0 1.69394 0 77 0.94868 1.69394 78.6% - 0s
0 0 1.69394 0 77 0.94868 1.69394 78.6% - 0s
0 0 1.69394 0 77 0.94868 1.69394 78.6% - 0s
0 0 1.69394 0 77 0.94868 1.69394 78.6% - 0s
0 2 1.69394 0 77 0.94868 1.69394 78.6% - 0s
* 1331 532 79 0.9511844 1.24306 30.7% 8.9 1s
5297 92 0.97057 49 20 0.95118 0.97299 2.29% 7.6 5s
Cutting planes:
Learned: 2
Gomory: 1
Cover: 6
Implied bound: 8
Clique: 1
MIR: 1
Flow cover: 5
Inf proof: 1
Explored 5572 nodes (42912 simplex iterations) in 5.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.951184 0.948682
Optimal solution found (tolerance 1.00e-02)
Best objective 9.511844417398e-01, best bound 9.601444773618e-01, gap 0.9420%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwcdvhyyd.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuvs5f3pf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.928619
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.789540e+00, 774 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78954 0 57 0.92862 1.78954 92.7% - 0s
0 0 1.64564 0 49 0.92862 1.64564 77.2% - 0s
0 0 1.64536 0 51 0.92862 1.64536 77.2% - 0s
0 0 1.61966 0 59 0.92862 1.61966 74.4% - 0s
0 0 1.61848 0 59 0.92862 1.61848 74.3% - 0s
0 0 1.61679 0 57 0.92862 1.61679 74.1% - 0s
0 0 1.61668 0 57 0.92862 1.61668 74.1% - 0s
0 0 1.61203 0 59 0.92862 1.61203 73.6% - 0s
0 0 1.61194 0 61 0.92862 1.61194 73.6% - 0s
0 0 1.61192 0 60 0.92862 1.61192 73.6% - 0s
0 0 1.61192 0 41 0.92862 1.61192 73.6% - 0s
0 2 1.61192 0 40 0.92862 1.61192 73.6% - 0s
* 2384 381 70 0.9389373 1.05938 12.8% 8.9 3s
Cutting planes:
Learned: 2
Gomory: 7
Cover: 1
Implied bound: 8
MIR: 2
Flow cover: 4
Flow path: 1
Inf proof: 3
Explored 3813 nodes (33420 simplex iterations) in 4.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.938937 0.928619
Optimal solution found (tolerance 1.00e-02)
Best objective 9.389372664474e-01, best bound 9.389372664474e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx7ank6rl.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz2a73s15.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.908561
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.721434e+00, 683 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72143 0 54 0.90856 1.72143 89.5% - 0s
0 0 1.67327 0 58 0.90856 1.67327 84.2% - 0s
0 0 1.67300 0 56 0.90856 1.67300 84.1% - 0s
0 0 1.66928 0 61 0.90856 1.66928 83.7% - 0s
0 0 1.66785 0 62 0.90856 1.66785 83.6% - 0s
0 0 1.65972 0 68 0.90856 1.65972 82.7% - 0s
0 0 1.65950 0 69 0.90856 1.65950 82.7% - 0s
0 0 1.65920 0 71 0.90856 1.65920 82.6% - 0s
0 0 1.65866 0 71 0.90856 1.65866 82.6% - 0s
0 0 1.64366 0 68 0.90856 1.64366 80.9% - 0s
0 0 1.63114 0 70 0.90856 1.63114 79.5% - 0s
0 0 1.62295 0 68 0.90856 1.62295 78.6% - 0s
0 0 1.62286 0 70 0.90856 1.62286 78.6% - 0s
0 0 1.62075 0 73 0.90856 1.62075 78.4% - 0s
0 0 1.62032 0 74 0.90856 1.62032 78.3% - 0s
0 0 1.62032 0 73 0.90856 1.62032 78.3% - 0s
0 0 1.62032 0 56 0.90856 1.62032 78.3% - 0s
0 2 1.62032 0 54 0.90856 1.62032 78.3% - 0s
4433 6 cutoff 71 0.90856 0.92911 2.26% 8.3 5s
Cutting planes:
Learned: 2
Cover: 1
Implied bound: 6
Clique: 1
MIR: 5
Flow cover: 7
Inf proof: 2
Explored 4549 nodes (38864 simplex iterations) in 5.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.908561
Optimal solution found (tolerance 1.00e-02)
Best objective 9.085607298960e-01, best bound 9.085607298960e-01, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpahdch0vi.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8o7lwcc_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.90633
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.750783e+00, 696 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75078 0 57 0.90633 1.75078 93.2% - 0s
0 0 1.69970 0 56 0.90633 1.69970 87.5% - 0s
0 0 1.69928 0 57 0.90633 1.69928 87.5% - 0s
0 0 1.67830 0 65 0.90633 1.67830 85.2% - 0s
0 0 1.67791 0 64 0.90633 1.67791 85.1% - 0s
0 0 1.67562 0 66 0.90633 1.67562 84.9% - 0s
0 0 1.67538 0 68 0.90633 1.67538 84.9% - 0s
0 0 1.67094 0 75 0.90633 1.67094 84.4% - 0s
0 0 1.67094 0 75 0.90633 1.67094 84.4% - 0s
0 0 1.67078 0 76 0.90633 1.67078 84.3% - 0s
0 0 1.67078 0 76 0.90633 1.67078 84.3% - 0s
0 0 1.67078 0 61 0.90633 1.67078 84.3% - 0s
0 2 1.67078 0 59 0.90633 1.67078 84.3% - 0s
5493 47 infeasible 56 0.90633 0.92671 2.25% 8.3 5s
Cutting planes:
Learned: 3
Gomory: 1
Cover: 1
Implied bound: 9
MIR: 2
Flow cover: 3
Inf proof: 5
Explored 5587 nodes (47178 simplex iterations) in 5.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.90633
Optimal solution found (tolerance 1.00e-02)
Best objective 9.063301722958e-01, best bound 9.136038926172e-01, gap 0.8025%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1dkxnf_j.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_gzp6t7u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911863
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.713572e+00, 694 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71357 0 60 0.91186 1.71357 87.9% - 0s
0 0 1.66692 0 63 0.91186 1.66692 82.8% - 0s
0 0 1.66560 0 61 0.91186 1.66560 82.7% - 0s
0 0 1.66123 0 68 0.91186 1.66123 82.2% - 0s
0 0 1.65840 0 68 0.91186 1.65840 81.9% - 0s
0 0 1.65546 0 73 0.91186 1.65546 81.5% - 0s
0 0 1.63829 0 70 0.91186 1.63829 79.7% - 0s
0 0 1.62417 0 67 0.91186 1.62417 78.1% - 0s
0 0 1.62405 0 71 0.91186 1.62405 78.1% - 0s
0 0 1.61900 0 78 0.91186 1.61900 77.5% - 0s
0 0 1.61695 0 78 0.91186 1.61695 77.3% - 0s
0 0 1.61581 0 88 0.91186 1.61581 77.2% - 0s
0 0 1.61580 0 87 0.91186 1.61580 77.2% - 0s
0 0 1.61580 0 87 0.91186 1.61580 77.2% - 0s
0 0 1.61579 0 87 0.91186 1.61579 77.2% - 0s
0 0 1.61579 0 72 0.91186 1.61579 77.2% - 0s
0 2 1.61579 0 70 0.91186 1.61579 77.2% - 0s
3883 565 0.96140 49 45 0.91186 1.05642 15.9% 9.5 5s
H 5735 497 0.9118629 0.99061 8.64% 8.8 6s
Cutting planes:
Learned: 1
Gomory: 2
Implied bound: 7
Clique: 2
MIR: 1
Flow cover: 10
Flow path: 1
Inf proof: 1
Explored 6789 nodes (57986 simplex iterations) in 7.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.911863 0.911863
Optimal solution found (tolerance 1.00e-02)
Best objective 9.118628505762e-01, best bound 9.118628505762e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc9ddwu_n.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt7fe_uaz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899322
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.656183e+00, 778 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65618 0 67 0.89932 1.65618 84.2% - 0s
0 0 1.52497 0 74 0.89932 1.52497 69.6% - 0s
0 0 1.52472 0 74 0.89932 1.52472 69.5% - 0s
0 0 1.50148 0 82 0.89932 1.50148 67.0% - 0s
0 0 1.49968 0 82 0.89932 1.49968 66.8% - 0s
0 0 1.49416 0 89 0.89932 1.49416 66.1% - 0s
0 0 1.49330 0 84 0.89932 1.49330 66.0% - 0s
0 0 1.49262 0 94 0.89932 1.49262 66.0% - 0s
0 0 1.49262 0 94 0.89932 1.49262 66.0% - 0s
0 0 1.49064 0 93 0.89932 1.49064 65.8% - 0s
0 0 1.49059 0 94 0.89932 1.49059 65.7% - 0s
0 0 1.48986 0 97 0.89932 1.48986 65.7% - 0s
0 0 1.48986 0 77 0.89932 1.48986 65.7% - 0s
0 2 1.48986 0 75 0.89932 1.48986 65.7% - 0s
1103 483 cutoff 32 0.89932 1.24497 38.4% 17.8 5s
Cutting planes:
Learned: 1
Gomory: 47
Cover: 5
Implied bound: 30
Projected implied bound: 38
Clique: 1
MIR: 23
Flow cover: 85
Inf proof: 48
Network: 1
Explored 5034 nodes (77080 simplex iterations) in 9.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.899322
Optimal solution found (tolerance 1.00e-02)
Best objective 8.993215338603e-01, best bound 8.993215338603e-01, gap 0.0000%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4451vsir.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9y6276ef.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.891602
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.684583e+00, 792 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68458 0 61 0.89160 1.68458 88.9% - 0s
0 0 1.64251 0 67 0.89160 1.64251 84.2% - 0s
0 0 1.64219 0 68 0.89160 1.64219 84.2% - 0s
0 0 1.61240 0 90 0.89160 1.61240 80.8% - 0s
0 0 1.61117 0 90 0.89160 1.61117 80.7% - 0s
0 0 1.60543 0 93 0.89160 1.60543 80.1% - 0s
0 0 1.60543 0 93 0.89160 1.60543 80.1% - 0s
0 0 1.60015 0 97 0.89160 1.60015 79.5% - 0s
0 0 1.60014 0 93 0.89160 1.60014 79.5% - 0s
0 0 1.59611 0 95 0.89160 1.59611 79.0% - 0s
0 0 1.59611 0 95 0.89160 1.59611 79.0% - 0s
0 0 1.58722 0 87 0.89160 1.58722 78.0% - 0s
0 0 1.58521 0 88 0.89160 1.58521 77.8% - 0s
0 0 1.58274 0 90 0.89160 1.58274 77.5% - 0s
0 0 1.58251 0 92 0.89160 1.58251 77.5% - 0s
0 0 1.58246 0 92 0.89160 1.58246 77.5% - 0s
0 0 1.58219 0 92 0.89160 1.58219 77.5% - 0s
0 0 1.58219 0 67 0.89160 1.58219 77.5% - 0s
0 2 1.58219 0 67 0.89160 1.58219 77.5% - 0s
* 436 279 105 0.8950048 1.31500 46.9% 12.1 1s
H 3296 906 0.8950048 1.12022 25.2% 10.5 4s
3380 919 infeasible 46 0.89500 1.11538 24.6% 10.5 5s
Cutting planes:
Learned: 1
Gomory: 2
Cover: 1
Implied bound: 7
Clique: 1
MIR: 8
Flow cover: 13
Inf proof: 3
Explored 9093 nodes (76360 simplex iterations) in 9.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.895005 0.895005 0.891602
Optimal solution found (tolerance 1.00e-02)
Best objective 8.950048439846e-01, best bound 9.018375156099e-01, gap 0.7634%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxbin5sg_.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj5bejfln.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.867324
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.629499e+00, 816 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62950 0 64 0.86732 1.62950 87.9% - 0s
0 0 1.59053 0 68 0.86732 1.59053 83.4% - 0s
0 0 1.59030 0 68 0.86732 1.59030 83.4% - 0s
0 0 1.56825 0 86 0.86732 1.56825 80.8% - 0s
0 0 1.56542 0 82 0.86732 1.56542 80.5% - 0s
0 0 1.55123 0 85 0.86732 1.55123 78.9% - 0s
0 0 1.55104 0 80 0.86732 1.55104 78.8% - 0s
0 0 1.55095 0 86 0.86732 1.55095 78.8% - 0s
0 0 1.55095 0 86 0.86732 1.55095 78.8% - 0s
0 0 1.54844 0 85 0.86732 1.54844 78.5% - 0s
0 0 1.54843 0 87 0.86732 1.54843 78.5% - 0s
0 0 1.54786 0 88 0.86732 1.54786 78.5% - 0s
0 0 1.54560 0 91 0.86732 1.54560 78.2% - 0s
0 0 1.52685 0 86 0.86732 1.52685 76.0% - 0s
0 0 1.52684 0 87 0.86732 1.52684 76.0% - 0s
0 0 1.52671 0 90 0.86732 1.52671 76.0% - 0s
0 0 1.52671 0 90 0.86732 1.52671 76.0% - 0s
0 0 1.52671 0 74 0.86732 1.52671 76.0% - 0s
0 2 1.52671 0 73 0.86732 1.52671 76.0% - 0s
2784 564 infeasible 41 0.86732 1.13692 31.1% 12.4 5s
H 6840 700 0.8673237 0.93685 8.02% 10.2 8s
7915 439 0.89187 61 46 0.86732 0.91655 5.68% 10.0 10s
Cutting planes:
Gomory: 3
Implied bound: 7
MIR: 7
Flow cover: 18
Inf proof: 5
Explored 8841 nodes (87216 simplex iterations) in 11.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.867324 0.867324
Optimal solution found (tolerance 1.00e-02)
Best objective 8.673236693216e-01, best bound 8.679659942563e-01, gap 0.0741%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphwum8esd.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdxh4wh94.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.84383
Presolve removed 481 rows and 301 columns
Presolve time: 0.03s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.630106e+00, 835 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63011 0 65 0.84383 1.63011 93.2% - 0s
0 0 1.58608 0 67 0.84383 1.58608 88.0% - 0s
0 0 1.58580 0 70 0.84383 1.58580 87.9% - 0s
0 0 1.56865 0 87 0.84383 1.56865 85.9% - 0s
0 0 1.56841 0 81 0.84383 1.56841 85.9% - 0s
0 0 1.56703 0 91 0.84383 1.56703 85.7% - 0s
0 0 1.56689 0 91 0.84383 1.56689 85.7% - 0s
0 0 1.56310 0 100 0.84383 1.56310 85.2% - 0s
0 0 1.56309 0 101 0.84383 1.56309 85.2% - 0s
0 0 1.56298 0 98 0.84383 1.56298 85.2% - 0s
0 0 1.56298 0 99 0.84383 1.56298 85.2% - 0s
0 0 1.56298 0 69 0.84383 1.56298 85.2% - 0s
0 2 1.56298 0 67 0.84383 1.56298 85.2% - 0s
* 1635 458 121 0.8438832 1.20435 42.7% 13.0 3s
3385 964 0.89051 40 48 0.84388 1.08991 29.2% 11.0 5s
10050 891 infeasible 66 0.84388 0.89776 6.38% 8.0 10s
Cutting planes:
Learned: 1
Gomory: 5
Implied bound: 8
MIR: 2
Flow cover: 10
Flow path: 2
Explored 11467 nodes (90752 simplex iterations) in 11.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.843883 0.84383
Optimal solution found (tolerance 1.00e-02)
Best objective 8.438831975151e-01, best bound 8.494470960115e-01, gap 0.6593%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfsyvf615.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp221_aojn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.830801
Presolve removed 494 rows and 309 columns
Presolve time: 0.03s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.594176e+00, 864 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59418 0 66 0.83080 1.59418 91.9% - 0s
0 0 1.55818 0 69 0.83080 1.55818 87.6% - 0s
0 0 1.55796 0 71 0.83080 1.55796 87.5% - 0s
0 0 1.53711 0 84 0.83080 1.53711 85.0% - 0s
0 0 1.53341 0 83 0.83080 1.53341 84.6% - 0s
0 0 1.52628 0 93 0.83080 1.52628 83.7% - 0s
0 0 1.52606 0 90 0.83080 1.52606 83.7% - 0s
0 0 1.52587 0 97 0.83080 1.52587 83.7% - 0s
0 0 1.52585 0 98 0.83080 1.52585 83.7% - 0s
0 0 1.52348 0 99 0.83080 1.52348 83.4% - 0s
0 0 1.52348 0 100 0.83080 1.52348 83.4% - 0s
0 0 1.52292 0 99 0.83080 1.52292 83.3% - 0s
0 0 1.52082 0 102 0.83080 1.52082 83.1% - 0s
0 0 1.50323 0 100 0.83080 1.50323 80.9% - 0s
0 0 1.50323 0 100 0.83080 1.50323 80.9% - 0s
0 0 1.50314 0 103 0.83080 1.50314 80.9% - 0s
0 0 1.50310 0 103 0.83080 1.50310 80.9% - 0s
0 0 1.50310 0 74 0.83080 1.50310 80.9% - 0s
0 2 1.50310 0 74 0.83080 1.50310 80.9% - 0s
3526 1011 1.00383 36 75 0.83080 1.11700 34.4% 11.5 5s
9763 639 infeasible 59 0.83080 0.88124 6.07% 8.7 10s
Cutting planes:
Gomory: 4
Implied bound: 9
MIR: 6
Flow cover: 21
Inf proof: 2
Explored 10826 nodes (93287 simplex iterations) in 11.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.830801
Optimal solution found (tolerance 1.00e-02)
Best objective 8.308009730048e-01, best bound 8.385077792920e-01, gap 0.9276%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeupkyr_1.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwcxae3bj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.810437
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.547602e+00, 818 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54760 0 67 0.81044 1.54760 91.0% - 0s
0 0 1.51232 0 68 0.81044 1.51232 86.6% - 0s
0 0 1.51202 0 71 0.81044 1.51202 86.6% - 0s
0 0 1.49088 0 90 0.81044 1.49088 84.0% - 0s
0 0 1.48840 0 89 0.81044 1.48840 83.7% - 0s
0 0 1.48335 0 98 0.81044 1.48335 83.0% - 0s
0 0 1.48264 0 93 0.81044 1.48264 82.9% - 0s
0 0 1.48195 0 102 0.81044 1.48195 82.9% - 0s
0 0 1.48193 0 103 0.81044 1.48193 82.9% - 0s
0 0 1.48027 0 106 0.81044 1.48027 82.7% - 0s
0 0 1.48007 0 104 0.81044 1.48007 82.6% - 0s
0 0 1.47897 0 111 0.81044 1.47897 82.5% - 0s
0 0 1.47897 0 111 0.81044 1.47897 82.5% - 0s
0 0 1.47894 0 108 0.81044 1.47894 82.5% - 0s
0 0 1.47894 0 107 0.81044 1.47894 82.5% - 0s
0 0 1.47779 0 107 0.81044 1.47779 82.3% - 0s
0 0 1.47677 0 109 0.81044 1.47677 82.2% - 0s
0 0 1.47524 0 108 0.81044 1.47524 82.0% - 0s
0 0 1.47456 0 110 0.81044 1.47456 81.9% - 0s
0 0 1.45697 0 105 0.81044 1.45697 79.8% - 0s
0 0 1.45694 0 106 0.81044 1.45694 79.8% - 0s
0 0 1.45281 0 100 0.81044 1.45281 79.3% - 0s
0 0 1.45204 0 106 0.81044 1.45204 79.2% - 0s
0 0 1.45201 0 108 0.81044 1.45201 79.2% - 0s
0 0 1.45201 0 108 0.81044 1.45201 79.2% - 0s
0 0 1.45201 0 107 0.81044 1.45201 79.2% - 0s
0 0 1.45201 0 82 0.81044 1.45201 79.2% - 0s
0 2 1.45201 0 81 0.81044 1.45201 79.2% - 0s
1933 446 0.95300 45 68 0.81044 1.12900 39.3% 13.5 5s
H 4782 1070 0.8104374 1.01067 24.7% 11.8 8s
6565 1131 0.84753 53 60 0.81044 0.92184 13.7% 10.5 10s
Cutting planes:
Gomory: 2
Implied bound: 15
MIR: 8
Flow cover: 22
Inf proof: 1
Explored 10358 nodes (94669 simplex iterations) in 13.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.810437 0.810437
Optimal solution found (tolerance 1.00e-02)
Best objective 8.104374173505e-01, best bound 8.113637600734e-01, gap 0.1143%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplr64q7s9.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdcnmoxy2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.798188
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.506019e+00, 815 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50602 0 72 0.79819 1.50602 88.7% - 0s
0 0 1.46867 0 85 0.79819 1.46867 84.0% - 0s
0 0 1.46814 0 89 0.79819 1.46814 83.9% - 0s
0 0 1.45005 0 99 0.79819 1.45005 81.7% - 0s
0 0 1.44868 0 91 0.79819 1.44868 81.5% - 0s
0 0 1.44686 0 101 0.79819 1.44686 81.3% - 0s
0 0 1.44667 0 101 0.79819 1.44667 81.2% - 0s
0 0 1.44325 0 104 0.79819 1.44325 80.8% - 0s
0 0 1.44325 0 107 0.79819 1.44325 80.8% - 0s
0 0 1.44320 0 110 0.79819 1.44320 80.8% - 0s
0 0 1.44319 0 111 0.79819 1.44319 80.8% - 0s
0 0 1.44318 0 111 0.79819 1.44318 80.8% - 0s
0 0 1.44318 0 93 0.79819 1.44318 80.8% - 0s
0 2 1.44318 0 93 0.79819 1.44318 80.8% - 0s
2535 522 1.07769 28 64 0.79819 1.10523 38.5% 12.6 5s
9758 1050 infeasible 75 0.79819 0.86663 8.58% 8.0 10s
Cutting planes:
Learned: 2
Gomory: 4
Cover: 3
Implied bound: 12
MIR: 6
Flow cover: 11
Inf proof: 7
Explored 11475 nodes (91484 simplex iterations) in 11.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.798188
Optimal solution found (tolerance 1.00e-02)
Best objective 7.981884152450e-01, best bound 8.048370612576e-01, gap 0.8330%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaq28tpxw.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq7jobbz5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.78767
Presolve removed 533 rows and 333 columns
Presolve time: 0.04s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.526781e+00, 901 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52678 0 74 0.78767 1.52678 93.8% - 0s
0 0 1.48843 0 81 0.78767 1.48843 89.0% - 0s
0 0 1.48820 0 84 0.78767 1.48820 88.9% - 0s
0 0 1.46981 0 93 0.78767 1.46981 86.6% - 0s
0 0 1.46836 0 91 0.78767 1.46836 86.4% - 0s
0 0 1.46328 0 93 0.78767 1.46328 85.8% - 0s
0 0 1.46322 0 96 0.78767 1.46322 85.8% - 0s
0 0 1.46119 0 109 0.78767 1.46119 85.5% - 0s
0 0 1.46032 0 107 0.78767 1.46032 85.4% - 0s
0 0 1.46020 0 111 0.78767 1.46020 85.4% - 0s
0 0 1.46020 0 112 0.78767 1.46020 85.4% - 0s
0 0 1.46020 0 116 0.78767 1.46020 85.4% - 0s
0 0 1.46020 0 77 0.78767 1.46020 85.4% - 0s
0 0 1.46020 0 78 0.78767 1.46020 85.4% - 0s
0 0 1.46020 0 78 0.78767 1.46020 85.4% - 0s
0 0 1.46020 0 77 0.78767 1.46020 85.4% - 0s
0 2 1.46020 0 76 0.78767 1.46020 85.4% - 0s
1725 563 1.10177 34 99 0.78767 1.22618 55.7% 15.5 5s
H 3283 1157 0.7880485 1.15970 47.2% 13.9 7s
7244 2201 infeasible 44 0.78805 1.00059 27.0% 9.9 10s
* 9609 2722 99 0.7880757 0.96279 22.2% 9.0 12s
13080 2988 0.85500 58 45 0.78808 0.91698 16.4% 8.3 15s
*14973 2966 90 0.7883122 0.89862 14.0% 8.1 17s
17010 2066 infeasible 54 0.78831 0.86742 10.0% 8.2 20s
*18544 1256 103 0.7885578 0.84058 6.60% 8.3 21s
Cutting planes:
Gomory: 2
Implied bound: 11
MIR: 8
Flow cover: 19
Flow path: 2
Inf proof: 3
Explored 20199 nodes (168103 simplex iterations) in 23.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.788558 0.788312 0.788076 ... 0.78767
Optimal solution found (tolerance 1.00e-02)
Best objective 7.885577877415e-01, best bound 7.892118151094e-01, gap 0.0829%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptafbvp7w.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfqr0nq2o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.779466
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.502083e+00, 948 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50208 0 80 0.77947 1.50208 92.7% - 0s
0 0 1.46650 0 84 0.77947 1.46650 88.1% - 0s
0 0 1.46623 0 87 0.77947 1.46623 88.1% - 0s
0 0 1.44828 0 93 0.77947 1.44828 85.8% - 0s
0 0 1.44616 0 92 0.77947 1.44616 85.5% - 0s
0 0 1.44330 0 100 0.77947 1.44330 85.2% - 0s
0 0 1.44283 0 101 0.77947 1.44283 85.1% - 0s
0 0 1.43983 0 111 0.77947 1.43983 84.7% - 0s
0 0 1.43977 0 114 0.77947 1.43977 84.7% - 0s
0 0 1.43971 0 117 0.77947 1.43971 84.7% - 0s
0 0 1.43970 0 117 0.77947 1.43970 84.7% - 0s
0 0 1.43969 0 116 0.77947 1.43969 84.7% - 0s
0 0 1.43969 0 81 0.77947 1.43969 84.7% - 0s
0 2 1.43969 0 78 0.77947 1.43969 84.7% - 0s
2538 1001 0.94797 47 73 0.77947 1.19187 52.9% 12.2 5s
6932 1660 infeasible 57 0.77947 1.02605 31.6% 10.5 10s
12755 1732 infeasible 58 0.77947 0.88826 14.0% 9.0 15s
H12761 1732 0.7794661 0.88813 13.9% 9.0 15s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 10
MIR: 10
Flow cover: 17
Flow path: 1
Explored 17148 nodes (161385 simplex iterations) in 19.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.779466 0.779466
Optimal solution found (tolerance 1.00e-02)
Best objective 7.794661435701e-01, best bound 7.813063115080e-01, gap 0.2361%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpln_nyxwo.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6z2ttg_r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.779935
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.485670e+00, 874 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48567 0 71 0.77994 1.48567 90.5% - 0s
0 0 1.45218 0 76 0.77994 1.45218 86.2% - 0s
0 0 1.45195 0 76 0.77994 1.45195 86.2% - 0s
0 0 1.42961 0 92 0.77994 1.42961 83.3% - 0s
0 0 1.42802 0 101 0.77994 1.42802 83.1% - 0s
0 0 1.42316 0 92 0.77994 1.42316 82.5% - 0s
0 0 1.42216 0 102 0.77994 1.42216 82.3% - 0s
0 0 1.41913 0 108 0.77994 1.41913 82.0% - 0s
0 0 1.41689 0 110 0.77994 1.41689 81.7% - 0s
0 0 1.41525 0 104 0.77994 1.41525 81.5% - 0s
0 0 1.41482 0 105 0.77994 1.41482 81.4% - 0s
0 0 1.39794 0 94 0.77994 1.39794 79.2% - 0s
0 0 1.39788 0 98 0.77994 1.39788 79.2% - 0s
0 0 1.39757 0 101 0.77994 1.39757 79.2% - 0s
0 0 1.39719 0 104 0.77994 1.39719 79.1% - 0s
0 0 1.39719 0 104 0.77994 1.39719 79.1% - 0s
0 0 1.39719 0 104 0.77994 1.39719 79.1% - 0s
0 0 1.39710 0 101 0.77994 1.39710 79.1% - 0s
0 0 1.39657 0 101 0.77994 1.39657 79.1% - 0s
0 0 1.39657 0 101 0.77994 1.39657 79.1% - 0s
0 0 1.39657 0 101 0.77994 1.39657 79.1% - 0s
0 0 1.39657 0 83 0.77994 1.39657 79.1% - 0s
0 2 1.39657 0 82 0.77994 1.39657 79.1% - 0s
787 501 1.24219 10 105 0.77994 1.24219 59.3% 20.2 5s
H 1697 530 0.7801461 1.19516 53.2% 21.8 9s
H 1708 511 0.7807394 1.19516 53.1% 21.7 9s
H 1715 487 0.7809597 1.19516 53.0% 21.7 9s
1915 513 0.83146 44 98 0.78096 1.18358 51.6% 21.2 10s
5523 1421 0.91391 42 88 0.78096 0.99788 27.8% 18.1 15s
11175 1937 infeasible 45 0.78096 0.88345 13.1% 13.4 20s
14369 926 infeasible 51 0.78096 0.83001 6.28% 13.4 25s
Cutting planes:
Learned: 2
Gomory: 37
Cover: 4
Implied bound: 30
Projected implied bound: 54
Clique: 1
MIR: 27
Flow cover: 121
Flow path: 3
Inf proof: 148
Explored 15716 nodes (209897 simplex iterations) in 27.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.78096 0.780739 0.780146 0.779935
Optimal solution found (tolerance 1.00e-02)
Best objective 7.809597214086e-01, best bound 7.821272757027e-01, gap 0.1495%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptllaws0v.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppgh7c7v2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.779503
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.465680e+00, 1043 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46568 0 76 0.77950 1.46568 88.0% - 0s
0 0 1.43235 0 83 0.77950 1.43235 83.8% - 0s
0 0 1.43212 0 84 0.77950 1.43212 83.7% - 0s
0 0 1.41678 0 96 0.77950 1.41678 81.8% - 0s
0 0 1.41473 0 93 0.77950 1.41473 81.5% - 0s
0 0 1.41327 0 99 0.77950 1.41327 81.3% - 0s
0 0 1.41310 0 99 0.77950 1.41310 81.3% - 0s
0 0 1.41003 0 105 0.77950 1.41003 80.9% - 0s
0 0 1.41003 0 98 0.77950 1.41003 80.9% - 0s
0 0 1.40996 0 106 0.77950 1.40996 80.9% - 0s
0 0 1.40996 0 111 0.77950 1.40996 80.9% - 0s
0 0 1.40996 0 92 0.77950 1.40996 80.9% - 0s
0 2 1.40996 0 89 0.77950 1.40996 80.9% - 0s
2077 407 0.92694 32 82 0.77950 1.10498 41.8% 14.8 5s
* 2351 456 151 0.7796706 1.09565 40.5% 14.0 5s
8532 1220 infeasible 48 0.77967 0.88179 13.1% 10.1 10s
H11112 750 0.7796706 0.83167 6.67% 10.2 13s
Cutting planes:
Learned: 2
Gomory: 2
Implied bound: 10
MIR: 4
Flow cover: 19
Flow path: 2
Inf proof: 1
Explored 12421 nodes (126451 simplex iterations) in 14.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.779671 0.779671 0.779503
Optimal solution found (tolerance 1.00e-02)
Best objective 7.796705782363e-01, best bound 7.811321438638e-01, gap 0.1875%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmufw9t43.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa944p87e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.762516
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.428811e+00, 923 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42881 0 79 0.76252 1.42881 87.4% - 0s
0 0 1.39780 0 88 0.76252 1.39780 83.3% - 0s
0 0 1.39758 0 94 0.76252 1.39758 83.3% - 0s
0 0 1.38196 0 97 0.76252 1.38196 81.2% - 0s
0 0 1.37999 0 96 0.76252 1.37999 81.0% - 0s
0 0 1.37922 0 109 0.76252 1.37922 80.9% - 0s
0 0 1.37897 0 105 0.76252 1.37897 80.8% - 0s
0 0 1.37569 0 117 0.76252 1.37569 80.4% - 0s
0 0 1.37568 0 111 0.76252 1.37568 80.4% - 0s
0 0 1.37553 0 115 0.76252 1.37553 80.4% - 0s
0 0 1.37553 0 116 0.76252 1.37553 80.4% - 0s
0 0 1.37553 0 115 0.76252 1.37553 80.4% - 0s
0 0 1.37553 0 94 0.76252 1.37553 80.4% - 0s
0 2 1.37553 0 89 0.76252 1.37553 80.4% - 0s
2465 954 1.08364 29 89 0.76252 1.14583 50.3% 13.1 5s
H 4463 1404 0.7625161 1.03621 35.9% 12.3 7s
H 6671 1533 0.7625161 0.95999 25.9% 10.8 9s
7131 1543 infeasible 51 0.76252 0.94883 24.4% 10.5 10s
11776 1850 infeasible 92 0.76252 0.87883 15.3% 8.8 15s
15779 1024 infeasible 96 0.76252 0.81853 7.35% 8.9 20s
Cutting planes:
Gomory: 2
Implied bound: 9
MIR: 6
Flow cover: 16
Flow path: 1
Inf proof: 3
Explored 17529 nodes (159374 simplex iterations) in 22.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.762516 0.762516 0.762516
Optimal solution found (tolerance 1.00e-02)
Best objective 7.625161496665e-01, best bound 7.697777519378e-01, gap 0.9523%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjrfpxq38.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwgk5wm5a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.752082
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.396745e+00, 956 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39674 0 83 0.75208 1.39674 85.7% - 0s
0 0 1.36888 0 99 0.75208 1.36888 82.0% - 0s
0 0 1.36847 0 101 0.75208 1.36847 82.0% - 0s
0 0 1.35104 0 101 0.75208 1.35104 79.6% - 0s
0 0 1.34806 0 98 0.75208 1.34806 79.2% - 0s
0 0 1.34385 0 106 0.75208 1.34385 78.7% - 0s
0 0 1.34341 0 104 0.75208 1.34341 78.6% - 0s
0 0 1.34135 0 113 0.75208 1.34135 78.4% - 0s
0 0 1.33979 0 113 0.75208 1.33979 78.1% - 0s
0 0 1.33929 0 116 0.75208 1.33929 78.1% - 0s
0 0 1.33727 0 116 0.75208 1.33727 77.8% - 0s
0 0 1.32292 0 113 0.75208 1.32292 75.9% - 0s
0 0 1.32291 0 113 0.75208 1.32291 75.9% - 0s
0 0 1.32287 0 115 0.75208 1.32287 75.9% - 0s
0 0 1.32287 0 96 0.75208 1.32287 75.9% - 0s
0 2 1.32287 0 92 0.75208 1.32287 75.9% - 0s
752 452 1.17737 14 105 0.75208 1.17737 56.5% 21.9 5s
2430 713 0.79319 57 101 0.75208 1.06260 41.3% 22.5 10s
H 3458 975 0.7520816 1.00809 34.0% 21.4 12s
4964 1459 0.88255 50 86 0.75208 0.96456 28.3% 19.3 15s
H 6361 1924 0.7520816 0.93845 24.8% 17.3 16s
9065 2308 infeasible 53 0.75208 0.88779 18.0% 15.1 20s
13876 2907 0.82179 62 66 0.75208 0.85408 13.6% 13.9 25s
16989 2225 cutoff 58 0.75208 0.82575 9.80% 14.1 30s
H19013 1461 0.7520816 0.80225 6.67% 14.3 34s
H19018 1461 0.7521067 0.80219 6.66% 14.3 34s
19075 1367 infeasible 62 0.75211 0.80213 6.65% 14.3 35s
Cutting planes:
Learned: 2
Gomory: 43
Cover: 6
Implied bound: 42
Projected implied bound: 51
Clique: 1
MIR: 28
Flow cover: 112
Flow path: 1
Inf proof: 195
Explored 21487 nodes (303286 simplex iterations) in 38.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.752107 0.752082 0.752082 ... 0.752082
Optimal solution found (tolerance 1.00e-02)
Best objective 7.521066796272e-01, best bound 7.575380957495e-01, gap 0.7222%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp245mmfdx.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbdjayt6g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.736952
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.369712e+00, 1007 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36971 0 85 0.73695 1.36971 85.9% - 0s
0 0 1.34021 0 100 0.73695 1.34021 81.9% - 0s
0 0 1.33978 0 103 0.73695 1.33978 81.8% - 0s
0 0 1.32426 0 125 0.73695 1.32426 79.7% - 0s
0 0 1.32204 0 119 0.73695 1.32204 79.4% - 0s
0 0 1.31770 0 118 0.73695 1.31770 78.8% - 0s
0 0 1.31711 0 116 0.73695 1.31711 78.7% - 0s
0 0 1.31675 0 126 0.73695 1.31675 78.7% - 0s
0 0 1.31673 0 122 0.73695 1.31673 78.7% - 0s
0 0 1.31553 0 128 0.73695 1.31553 78.5% - 0s
0 0 1.31551 0 124 0.73695 1.31551 78.5% - 0s
0 0 1.31549 0 129 0.73695 1.31549 78.5% - 0s
0 0 1.31549 0 130 0.73695 1.31549 78.5% - 0s
0 0 1.31549 0 129 0.73695 1.31549 78.5% - 0s
0 0 1.31549 0 91 0.73695 1.31549 78.5% - 0s
0 2 1.31549 0 86 0.73695 1.31549 78.5% - 0s
* 400 310 174 0.7374074 1.19546 62.1% 16.2 1s
1363 629 1.00252 38 87 0.73741 1.16932 58.6% 16.4 5s
5993 2030 cutoff 47 0.73741 0.98666 33.8% 12.4 10s
12412 3094 infeasible 40 0.73741 0.87218 18.3% 9.7 15s
18137 3040 infeasible 69 0.73741 0.82554 12.0% 9.1 20s
22576 1761 cutoff 51 0.73741 0.78347 6.25% 8.9 25s
Cutting planes:
Gomory: 2
Implied bound: 10
MIR: 12
Flow cover: 20
Flow path: 1
Inf proof: 2
Explored 26131 nodes (232040 simplex iterations) in 29.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.737407 0.736952
Optimal solution found (tolerance 1.00e-02)
Best objective 7.374074035334e-01, best bound 7.440761722954e-01, gap 0.9044%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpji0tc6i3.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzemmw4bo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732962
Presolve removed 624 rows and 389 columns
Presolve time: 0.04s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.395170e+00, 986 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39517 0 83 0.73296 1.39517 90.3% - 0s
0 0 1.36541 0 98 0.73296 1.36541 86.3% - 0s
0 0 1.36519 0 96 0.73296 1.36519 86.3% - 0s
0 0 1.35109 0 111 0.73296 1.35109 84.3% - 0s
0 0 1.34828 0 103 0.73296 1.34828 83.9% - 0s
0 0 1.34260 0 113 0.73296 1.34260 83.2% - 0s
0 0 1.34254 0 113 0.73296 1.34254 83.2% - 0s
0 0 1.34091 0 115 0.73296 1.34091 82.9% - 0s
0 0 1.33975 0 116 0.73296 1.33975 82.8% - 0s
0 0 1.33936 0 126 0.73296 1.33936 82.7% - 0s
0 0 1.33862 0 126 0.73296 1.33862 82.6% - 0s
0 0 1.33748 0 122 0.73296 1.33748 82.5% - 0s
0 0 1.33747 0 126 0.73296 1.33747 82.5% - 0s
0 0 1.33747 0 128 0.73296 1.33747 82.5% - 0s
0 0 1.33747 0 128 0.73296 1.33747 82.5% - 0s
0 0 1.33747 0 102 0.73296 1.33747 82.5% - 0s
0 2 1.33747 0 97 0.73296 1.33747 82.5% - 0s
1386 528 1.13122 27 99 0.73296 1.16855 59.4% 16.8 5s
5989 1748 0.75879 61 80 0.73296 1.01847 39.0% 10.7 10s
12997 3425 infeasible 53 0.73296 0.91360 24.6% 8.8 15s
18238 3605 cutoff 92 0.73296 0.84713 15.6% 8.4 20s
20415 3935 0.80500 76 102 0.73296 0.83491 13.9% 8.2 33s
20425 3942 0.74526 83 182 0.73296 0.83491 13.9% 8.2 35s
20446 3956 0.79868 69 192 0.73296 0.83491 13.9% 8.2 40s
20455 3963 0.83491 23 167 0.73296 0.83491 13.9% 8.4 45s
21002 3968 0.83491 36 118 0.73296 0.83491 13.9% 8.7 50s
H21895 3744 0.7329619 0.83491 13.9% 9.0 52s
H22540 3565 0.7329619 0.83491 13.9% 9.1 54s
H22544 3386 0.7329619 0.83491 13.9% 9.1 54s
22628 3385 0.80798 42 104 0.73296 0.83491 13.9% 9.1 55s
25576 3625 0.79113 50 77 0.73296 0.83491 13.9% 9.4 60s
27914 3005 infeasible 66 0.73296 0.81728 11.5% 10.0 65s
29853 1958 0.75588 46 67 0.73296 0.79257 8.13% 10.6 70s
32890 835 infeasible 66 0.73296 0.75774 3.38% 10.8 75s
Cutting planes:
Learned: 5
Gomory: 71
Cover: 5
Implied bound: 17
Projected implied bound: 23
Clique: 2
MIR: 17
Flow cover: 72
Flow path: 3
Inf proof: 1
Explored 34081 nodes (369039 simplex iterations) in 76.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.732962 0.732962 0.732962 0.732962
Optimal solution found (tolerance 1.00e-02)
Best objective 7.329618626662e-01, best bound 7.378725870810e-01, gap 0.6700%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp134ajl4l.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqk9s847l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.7266
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.373166e+00, 1048 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37317 0 88 0.72660 1.37317 89.0% - 0s
0 0 1.34458 0 106 0.72660 1.34458 85.1% - 0s
0 0 1.34438 0 107 0.72660 1.34438 85.0% - 0s
0 0 1.32792 0 109 0.72660 1.32792 82.8% - 0s
0 0 1.32542 0 102 0.72660 1.32542 82.4% - 0s
0 0 1.32043 0 105 0.72660 1.32043 81.7% - 0s
0 0 1.31247 0 96 0.72660 1.31247 80.6% - 0s
0 0 1.29845 0 104 0.72660 1.29845 78.7% - 0s
0 0 1.29845 0 105 0.72660 1.29845 78.7% - 0s
0 0 1.29802 0 116 0.72660 1.29802 78.6% - 0s
0 0 1.29792 0 118 0.72660 1.29792 78.6% - 0s
0 0 1.29791 0 117 0.72660 1.29791 78.6% - 0s
0 0 1.29791 0 117 0.72660 1.29791 78.6% - 0s
0 0 1.29781 0 118 0.72660 1.29781 78.6% - 0s
0 0 1.29781 0 100 0.72660 1.29781 78.6% - 0s
0 2 1.29781 0 99 0.72660 1.29781 78.6% - 0s
* 698 451 177 0.7269369 1.21238 66.8% 16.6 1s
744 522 1.20347 13 105 0.72694 1.21238 66.8% 21.0 5s
H 1912 698 0.7270452 1.11073 52.8% 20.4 9s
1966 702 1.01705 36 102 0.72705 1.11022 52.7% 20.5 10s
4597 1296 0.82637 67 103 0.72705 1.03433 42.3% 18.7 15s
7829 1920 0.76059 88 43 0.72705 0.96677 33.0% 16.2 20s
11830 2809 0.86843 66 55 0.72705 0.91448 25.8% 13.9 25s
16166 3942 cutoff 49 0.72705 0.88542 21.8% 12.8 30s
20166 4171 infeasible 73 0.72705 0.85262 17.3% 12.4 35s
20660 4197 0.75003 61 36 0.72705 0.84996 16.9% 12.5 48s
21949 4340 infeasible 63 0.72705 0.84518 16.2% 12.5 50s
24574 4008 0.77462 78 68 0.72705 0.82118 12.9% 12.9 55s
26996 3438 cutoff 64 0.72705 0.80460 10.7% 13.4 60s
29605 2687 infeasible 86 0.72705 0.78774 8.35% 13.9 65s
32428 1234 0.73569 72 33 0.72705 0.76129 4.71% 14.3 70s
Cutting planes:
Learned: 2
Gomory: 34
Cover: 3
Implied bound: 60
Projected implied bound: 60
Clique: 1
MIR: 22
Flow cover: 139
Flow path: 1
Inf proof: 288
Explored 33991 nodes (486109 simplex iterations) in 72.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.727045 0.726937 0.7266
Optimal solution found (tolerance 1.00e-02)
Best objective 7.270452326560e-01, best bound 7.335215730596e-01, gap 0.8908%
Run 5
Seed for training 554
Seed for simulation 492
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-306.45336692, 166.05270194, 249.07905291]])
fopt: 0.6510087736745926
fun: -0.651174215003174
message: 'Optimization terminated successfully.'
nfev: 446
nit: 6
status: 0
success: True
x: array([ 81.87743338, 171.00066779, 206.24663093])
xopt: array([ 82., 171., 206.])
zopt: array([ 82., 253., 459.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppv1dd8nc.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpukz0kg01.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.651009
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.578722e+00, 1107 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57872 0 104 0.65101 1.57872 143% - 0s
0 0 1.52608 0 133 0.65101 1.52608 134% - 0s
0 0 1.52549 0 133 0.65101 1.52549 134% - 0s
0 0 1.44805 0 148 0.65101 1.44805 122% - 0s
0 0 1.44643 0 143 0.65101 1.44643 122% - 0s
0 0 1.42669 0 175 0.65101 1.42669 119% - 0s
0 0 1.42659 0 175 0.65101 1.42659 119% - 0s
0 0 1.42445 0 170 0.65101 1.42445 119% - 0s
0 0 1.42372 0 172 0.65101 1.42372 119% - 0s
0 0 1.42254 0 175 0.65101 1.42254 119% - 0s
0 0 1.42250 0 173 0.65101 1.42250 119% - 0s
0 0 1.42070 0 178 0.65101 1.42070 118% - 0s
0 0 1.42047 0 178 0.65101 1.42047 118% - 0s
0 0 1.42021 0 184 0.65101 1.42021 118% - 0s
0 0 1.42017 0 177 0.65101 1.42017 118% - 0s
0 0 1.42017 0 177 0.65101 1.42017 118% - 0s
0 0 1.42017 0 136 0.65101 1.42017 118% - 0s
0 2 1.42017 0 136 0.65101 1.42017 118% - 0s
850 564 1.24280 24 141 0.65101 1.33567 105% 23.1 5s
2894 930 1.12041 30 155 0.65101 1.23164 89.2% 23.8 10s
H 4360 1412 0.6510088 1.09429 68.1% 22.8 13s
H 4361 1393 0.6566006 1.09429 66.7% 22.8 13s
4940 1466 cutoff 44 0.65660 1.06675 62.5% 22.1 15s
8713 2068 0.77114 75 84 0.65660 0.88304 34.5% 18.6 20s
13106 2736 infeasible 73 0.65660 0.82068 25.0% 16.4 25s
17010 3205 0.69372 66 82 0.65660 0.78053 18.9% 15.4 30s
20769 3551 0.73565 85 136 0.65660 0.75801 15.4% 14.9 48s
20773 3554 0.75526 61 162 0.65660 0.75801 15.4% 14.9 50s
20785 3562 0.69475 78 184 0.65660 0.75801 15.4% 14.8 55s
20793 3567 0.67778 41 194 0.65660 0.75801 15.4% 14.8 60s
20799 3571 0.73463 51 194 0.65660 0.75801 15.4% 14.8 65s
20807 3576 0.72528 80 200 0.65660 0.75801 15.4% 14.8 71s
20811 3579 0.67502 110 205 0.65660 0.75801 15.4% 14.8 75s
20818 3584 0.72055 72 202 0.65660 0.75801 15.4% 14.8 80s
20824 3588 0.71127 73 211 0.65660 0.75801 15.4% 14.8 85s
20831 3592 0.68099 48 221 0.65660 0.75801 15.4% 14.8 90s
20840 3598 0.75628 57 222 0.65660 0.75801 15.4% 14.8 95s
20847 3603 0.75253 82 221 0.65660 0.75801 15.4% 14.8 100s
20852 3606 0.75218 47 217 0.65660 0.75801 15.4% 14.8 105s
20857 3610 0.75340 68 228 0.65660 0.75801 15.4% 14.8 110s
20862 3613 0.74356 61 238 0.65660 0.75801 15.4% 14.8 116s
20866 3616 0.72627 78 226 0.65660 0.75801 15.4% 14.8 120s
20871 3619 0.73694 84 229 0.65660 0.75801 15.4% 14.8 125s
20876 3622 0.74711 100 219 0.65660 0.75801 15.4% 14.8 130s
20882 3626 0.66554 94 238 0.65660 0.75801 15.4% 14.8 136s
20887 3630 0.75519 61 234 0.65660 0.75801 15.4% 14.8 140s
20892 3633 0.68207 96 225 0.65660 0.75801 15.4% 14.8 145s
20899 3638 0.73463 51 238 0.65660 0.75801 15.4% 14.8 150s
H20903 3455 0.6566006 0.75801 15.4% 14.8 155s
20910 3460 0.75515 78 229 0.65660 0.75801 15.4% 14.8 160s
20917 3465 0.75434 77 239 0.65660 0.75801 15.4% 14.8 165s
20924 3469 0.71127 73 231 0.65660 0.75801 15.4% 14.7 170s
20930 3473 0.74562 118 233 0.65660 0.75801 15.4% 14.7 175s
20938 3479 0.75727 51 235 0.65660 0.75801 15.4% 14.7 180s
20945 3483 0.68995 106 248 0.65660 0.75801 15.4% 14.7 185s
20952 3488 0.75218 47 234 0.65660 0.75801 15.4% 14.7 190s
20958 3492 0.70374 66 243 0.65660 0.75801 15.4% 14.7 195s
20965 3497 0.73257 71 248 0.65660 0.75801 15.4% 14.7 200s
20971 3501 0.73694 84 243 0.65660 0.75801 15.4% 14.7 205s
20978 3505 0.71530 68 246 0.65660 0.75801 15.4% 14.7 210s
20984 3509 0.75192 75 245 0.65660 0.75801 15.4% 14.7 215s
20988 3514 0.75801 26 223 0.65660 0.75801 15.4% 16.7 224s
20990 3514 0.75801 27 218 0.65660 0.75801 15.4% 16.7 228s
21005 3515 cutoff 30 0.65660 0.75801 15.4% 16.9 230s
21146 3489 0.68764 38 196 0.65660 0.75801 15.4% 17.8 235s
21455 3472 0.69026 38 174 0.65660 0.75801 15.4% 19.4 241s
21730 3459 infeasible 49 0.65660 0.75801 15.4% 20.2 245s
22261 3444 0.69267 46 161 0.65660 0.75801 15.4% 21.5 250s
22996 3439 0.70990 49 124 0.65660 0.75801 15.4% 22.8 255s
23529 3447 0.67510 52 85 0.65660 0.75801 15.4% 23.5 260s
*24034 3223 106 0.6566006 0.75801 15.4% 24.2 263s
24121 3239 cutoff 62 0.65660 0.75801 15.4% 24.4 265s
24847 3088 0.66771 60 96 0.65660 0.75237 14.6% 25.5 270s
25484 2874 cutoff 53 0.65660 0.73902 12.6% 26.6 275s
26127 2626 0.66869 58 81 0.65660 0.73142 11.4% 27.4 280s
26983 2293 infeasible 57 0.65660 0.71616 9.07% 28.2 285s
27877 1834 cutoff 49 0.65660 0.70460 7.31% 28.9 290s
28777 1243 0.67818 57 77 0.65660 0.68227 3.91% 29.5 295s
Cutting planes:
Learned: 3
Gomory: 160
Cover: 20
Implied bound: 42
Projected implied bound: 42
Clique: 18
MIR: 229
StrongCG: 9
Flow cover: 628
Flow path: 1
Inf proof: 98
Explored 30139 nodes (883842 simplex iterations) in 299.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.656601 0.656601 0.656601 ... 0.651009
Optimal solution found (tolerance 0.00e+00)
Best objective 6.566006160308e-01, best bound 6.566006160308e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd34cwrjj.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfnn7mxmm.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 572 rows and 427 columns
Presolve time: 0.00s
Presolved: 374 rows, 384 columns, 1599 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.5666548e+02 6.955890e+03 0.000000e+00 0s
278 1.4441127e+01 0.000000e+00 0.000000e+00 0s
Solved in 278 iterations and 0.01 seconds
Optimal objective 1.444112690e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.20038265, 0.98728048, 0.98728048]])
fopt: 3.375742060899223
fun: -3.388216904912644
message: 'Optimization terminated successfully.'
nfev: 131
nit: 2
status: 0
success: True
x: array([ 19.06381798, -86.9999955 , -86.9999955 ])
xopt: array([19., 0., 0.])
zopt: array([19., 19., 19.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06752049, 0.00339763, 0.00344157]])
fopt: 2.8815427297406364
fun: -2.9064050768371397
message: 'Optimization terminated successfully.'
nfev: 169
nit: 2
status: 0
success: True
x: array([40.17064013, -0.97143286, -0.99867943])
xopt: array([40., 0., 0.])
zopt: array([40., 40., 40.])
*******************************************
Period: 3
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., -0.]])
fopt: 2.5411464320022508
fun: -2.552624551798142
message: 'Optimization terminated successfully.'
nfev: 183
nit: 2
status: 0
success: True
x: array([61.8902854 , -1. , -0.72670782])
xopt: array([62., 0., 0.])
zopt: array([62., 62., 62.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.23498436e-02, 8.29844709e-04, 8.29844707e-04]])
fopt: 2.1493727213286484
fun: -2.1611556128606795
message: 'Optimization terminated successfully.'
nfev: 155
nit: 2
status: 0
success: True
x: array([78.93377692, -0.99995659, -0.99934602])
xopt: array([79., 0., 0.])
zopt: array([79., 79., 79.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.68902642e-04, -3.40769006e-07, -0.00000000e+00]])
fopt: 1.8447974735946184
fun: -1.848529194605806
message: 'Optimization terminated successfully.'
nfev: 218
nit: 2
status: 0
success: True
x: array([94.29440331, 1.0323796 , 1. ])
xopt: array([94., 1., 1.])
zopt: array([94., 95., 96.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.21588907e-01, -7.59231156e-03, -4.77265235e-07]])
fopt: 1.768324426819577
fun: -1.7713588926784418
message: 'Optimization terminated successfully.'
nfev: 278
nit: 3
status: 0
success: True
x: array([113.97832734, 2.04403376, -3.1392964 ])
xopt: array([113., 3., 0.])
zopt: array([113., 116., 116.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1470
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.73845831e-08, 2.18278788e-10, -2.04267458e-10]])
fopt: 1.3399331872050615
fun: -1.339572779785168
message: 'Optimization terminated successfully.'
nfev: 225
nit: 3
status: 0
success: True
x: array([153.6747623 , 2.21690426, -1.78177998])
xopt: array([153., 3., 0.])
zopt: array([153., 156., 156.])
*******************************************
Period: 9
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.1543062528188657
fun: -1.1609577099379833
message: 'Optimization terminated successfully.'
nfev: 292
nit: 3
status: 0
success: True
x: array([154.89213842, 2.00017307, -6.91550394])
xopt: array([154., 2., 0.])
zopt: array([154., 156., 156.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.82952330e-02, 1.19497880e-04, -2.37450673e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00]])
fopt: 0.9353239650635653
fun: -0.9409922533476073
message: 'Optimization terminated successfully.'
nfev: 1048
nit: 9
status: 0
success: True
x: array([154.11919599, 10.0001195 , -0.98840889])
xopt: array([154., 11., 0.])
zopt: array([154., 165., 165.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[60.21033204, 0.39086091, 1.18731902]])
fopt: 0.8604131940836507
fun: -0.8536987587398535
message: 'Optimization terminated successfully.'
nfev: 342
nit: 4
status: 0
success: True
x: array([214.70809358, 2.46738043, 6.20278795])
xopt: array([214., 2., 6.])
zopt: array([214., 216., 222.])
*******************************************
Period: 12
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.16367829e+01, 7.02518190e+00, 1.40503640e+01],
[-1.46915678e+00, 9.59115357e-01, 6.42557771e-03]])
fopt: 1.0232989467912428
fun: -1.0243129914611568
message: 'Optimization terminated successfully.'
nfev: 575
nit: 8
status: 0
success: True
x: array([129.06449312, 27.01446131, 47.18122065])
xopt: array([129., 28., 47.])
zopt: array([129., 157., 204.])
*******************************************
Period: 13
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 5.33697175e-08, -5.14209748e-02, -1.61163166e-06]])
fopt: 0.6288159775037705
fun: -0.6271329750049095
message: 'Optimization terminated successfully.'
nfev: 548
nit: 6
status: 0
success: True
x: array([256.99999981, 1.0191816 , 1.00000336])
xopt: array([256., 1., 2.])
zopt: array([256., 257., 259.])
*******************************************
Period: 14
direc: array([[-1.91755126e+00, -4.30853955e+00, 5.02021438e+00],
[-3.81966010e-01, 0.00000000e+00, 1.00000000e+00],
[ 2.83717530e-04, -0.00000000e+00, -2.21707267e-03]])
fopt: 0.6821031701851649
fun: -0.7768479709856368
message: 'Optimization terminated successfully.'
nfev: 503
nit: 6
status: 0
success: True
x: array([235.70417023, -46.14432237, 62.0005283 ])
xopt: array([235., 0., 62.])
zopt: array([235., 235., 297.])
*******************************************
Period: 15
direc: array([[-5.71681753e+01, -3.28433460e+00, 6.64941382e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.48088537e-06, -3.30103607e-01, 9.90002886e-01]])
fopt: 0.8430282586344086
fun: -0.8442852280840399
message: 'Optimization terminated successfully.'
nfev: 363
nit: 5
status: 0
success: True
x: array([198.83705325, -1.82393567, 74.00088847])
xopt: array([198., 0., 75.])
zopt: array([198., 198., 273.])
*******************************************
Period: 16
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[94.20392878, 0.61048391, 1.84660236]])
fopt: 0.47530974609433363
fun: -0.4749977610401821
message: 'Optimization terminated successfully.'
nfev: 453
nit: 6
status: 0
success: True
x: array([248.55767259, 1.01448455, 10.00168342])
xopt: array([248., 1., 10.])
zopt: array([248., 249., 259.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 1. ],
[ -5.9833077 , 0. , 4.00161511],
[-28.53505155, 25.18044883, 55.97227629]])
fopt: 0.8809055253325315
fun: -0.8759092610804158
message: 'Optimization terminated successfully.'
nfev: 584
nit: 7
status: 0
success: True
x: array([123.88847526, 30.1969196 , 132.00001667])
xopt: array([124., 31., 132.])
zopt: array([124., 155., 287.])
*******************************************
Period: 18
direc: array([[ 1.10370027e-04, 4.35078021e-07, 4.35078021e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.86291188e-13, -1.36189079e-15, -8.99035608e-09]])
fopt: 0.31745046729550896
fun: -0.3167093914108295
message: 'Optimization terminated successfully.'
nfev: 332
nit: 3
status: 0
success: True
x: array([254.67881061, 2. , 3.00000042])
xopt: array([254., 2., 4.])
zopt: array([254., 256., 260.])
*******************************************
Period: 19
direc: array([[ 7.36341413e-03, -2.40372124e+00, 3.89843247e+00],
[ 5.23800409e-03, 6.23181750e-06, 2.04354260e-05],
[ 2.16646848e-02, 4.41068948e-01, 1.04237315e+02]])
fopt: 0.39137336161923386
fun: -0.670685242238072
message: 'Optimization terminated successfully.'
nfev: 754
nit: 10
status: 0
success: True
x: array([256.44314186, -59.34122917, 183. ])
xopt: array([256., 0., 183.])
zopt: array([256., 256., 439.])
*******************************************
Period: 20
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 137.84335272]])
fopt: 0.45186921016368564
fun: -0.4529866360514556
message: 'Optimization terminated successfully.'
nfev: 616
nit: 8
status: 0
success: True
x: array([256.2717361 , 2.07739104, 148.00020949])
xopt: array([256., 2., 148.])
zopt: array([256., 258., 406.])
*******************************************
Period: 21
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.12608527971763717
fun: -0.12681186806983144
message: 'Optimization terminated successfully.'
nfev: 325
nit: 4
status: 0
success: True
x: array([255.44574643, 2.08271009, 4. ])
xopt: array([255., 2., 4.])
zopt: array([255., 257., 261.])
*******************************************
Period: 22
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -0.12615234, 0.98786426]])
fopt: 0.3576199179303157
fun: -0.653707974285797
message: 'Optimization terminated successfully.'
nfev: 594
nit: 8
status: 0
success: True
x: array([256.29952577, -53.2995189 , 219.0000002 ])
xopt: array([256., 0., 219.])
zopt: array([256., 256., 475.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 157.69587739]])
fopt: 0.3811476403281125
fun: -0.672057908445702
message: 'Optimization terminated successfully.'
nfev: 550
nit: 7
status: 0
success: True
x: array([257.52866261, -50.52866336, 214.0000013 ])
xopt: array([257., 0., 214.])
zopt: array([257., 257., 471.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 159.24356483]])
fopt: 0.4091677205293805
fun: -0.6891757830388016
message: 'Optimization terminated successfully.'
nfev: 505
nit: 7
status: 0
success: True
x: array([256.72606589, -49.72606558, 214.00002527])
xopt: array([256., 0., 214.])
zopt: array([256., 256., 470.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 158.21633708]])
fopt: 0.5125658292527638
fun: -0.5111476028559722
message: 'Optimization terminated successfully.'
nfev: 545
nit: 6
status: 0
success: True
x: array([256.50855234, 2.000003 , 163.01912799])
xopt: array([256., 2., 164.])
zopt: array([256., 258., 422.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 159.97181186]])
fopt: 0.40229527699269546
fun: -0.657252044317925
message: 'Optimization terminated successfully.'
nfev: 500
nit: 7
status: 0
success: True
x: array([256.55151799, -50.55150279, 215.00001074])
xopt: array([256., 0., 215.])
zopt: array([256., 256., 471.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 157.35502854]])
fopt: 0.5249901733242869
fun: -0.5248182206532008
message: 'Optimization terminated successfully.'
nfev: 474
nit: 5
status: 0
success: True
x: array([2.58231514e+02, 1.54753002e-08, 1.63005931e+02])
xopt: array([258., 0., 164.])
zopt: array([258., 258., 422.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 159.17718074]])
fopt: 0.3739192873684437
fun: -0.6852792154050426
message: 'Optimization terminated successfully.'
nfev: 638
nit: 8
status: 0
success: True
x: array([257.66929669, -60.66929585, 234. ])
xopt: array([257., 0., 234.])
zopt: array([257., 257., 491.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 158.26916584]])
fopt: 0.5550596599647798
fun: -0.557565770727882
message: 'Optimization terminated successfully.'
nfev: 575
nit: 7
status: 0
success: True
x: array([257.0001557 , -0.99047689, 165.00356899])
xopt: array([257., 0., 165.])
zopt: array([257., 257., 422.])
*******************************************
Period: 30
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 84.63119053, 48.3606803 ]])
fopt: 0.37869342673415646
fun: -0.3756257440016122
message: 'Optimization terminated successfully.'
nfev: 407
nit: 6
status: 0
success: True
x: array([256.42735472, 95.0000018 , 57.3532346 ])
xopt: array([256., 95., 58.])
zopt: array([256., 351., 409.])
*******************************************
Period: 31
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 23.64851829, 14.21792731]])
fopt: 0.4078792112805793
fun: -0.40593463547077363
message: 'Optimization terminated successfully.'
nfev: 444
nit: 7
status: 0
success: True
x: array([258.31930867, 99. , 64.25203823])
xopt: array([258., 99., 65.])
zopt: array([258., 357., 422.])
*******************************************
Period: 32
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 83.00628931, 47.43216532]])
fopt: 0.4152131650306337
fun: -0.41216517623828686
message: 'Optimization terminated successfully.'
nfev: 485
nit: 7
status: 0
success: True
x: array([256.28240992, 104. , 60.43477846])
xopt: array([256., 104., 61.])
zopt: array([256., 360., 421.])
*******************************************
Period: 33
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 51.20546515, 103.03294664]])
fopt: 0.4956889136209638
fun: -0.49302421854978795
message: 'Optimization terminated successfully.'
nfev: 324
nit: 5
status: 0
success: True
x: array([257.85928247, 55.00000766, 109.04247309])
xopt: array([257., 55., 110.])
zopt: array([257., 312., 422.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ],
[ 0. , 72.10766182, 0. ]])
fopt: 0.33909229366581956
fun: -0.3379482988637393
message: 'Optimization terminated successfully.'
nfev: 562
nit: 9
status: 0
success: True
x: array([258.23956882, 158.00000176, 5.003917 ])
xopt: array([258., 158., 6.])
zopt: array([258., 416., 422.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 48.44429831, 97.7982912 ]])
fopt: 0.49572663140410567
fun: -0.4942268164707674
message: 'Optimization terminated successfully.'
nfev: 336
nit: 5
status: 0
success: True
x: array([258.54108324, 53.0000091 , 103.00000022])
xopt: array([258., 53., 104.])
zopt: array([258., 311., 415.])
*******************************************
Period: 36
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 6.00000008, 4.00000005]])
fopt: 0.43100954490339694
fun: -0.43034998611814107
message: 'Optimization terminated successfully.'
nfev: 371
nit: 6
status: 0
success: True
x: array([259.1405812 , 97.00000014, 65.04826742])
xopt: array([259., 97., 66.])
zopt: array([259., 356., 422.])
*******************************************
Period: 37
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-5.87860428, 0.20048607, 54.16899464]])
fopt: 0.7672731950594475
fun: -0.7671555688367648
message: 'Optimization terminated successfully.'
nfev: 376
nit: 5
status: 0
success: True
x: array([196.99997955, 2.17370123, 223.41963357])
xopt: array([196., 3., 223.])
zopt: array([196., 199., 422.])
*******************************************
Period: 38
direc: array([[ 75.18411159, 0.2919325 , 0.6076101 ],
[ 0. , 1. , 0. ],
[-48.94926502, -0.97099903, 51.07303028]])
fopt: 0.7453219554803314
fun: -0.7459031022146986
message: 'Optimization terminated successfully.'
nfev: 690
nit: 10
status: 0
success: True
x: array([198.2893437 , -1.28935074, 225. ])
xopt: array([198., 0., 225.])
zopt: array([198., 198., 423.])
*******************************************
Period: 39
direc: array([[ 0.00000000e+00, 3.10561947e-03, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.27635779e+02, 2.89256736e-01, 2.55541242e+02]])
fopt: 0.738055065110838
fun: -0.7380984356430567
message: 'Optimization terminated successfully.'
nfev: 449
nit: 6
status: 0
success: True
x: array([200.58721521, 2.007471 , 223.3733433 ])
xopt: array([200., 2., 223.])
zopt: array([200., 202., 425.])
*******************************************
Period: 40
direc: array([[75.62817786, 0.29469687, 0.59952648],
[ 0. , 1. , 0. ],
[ 0. , 0. , 79.78523337]])
fopt: 0.717935025244249
fun: -0.7169925408755466
message: 'Optimization terminated successfully.'
nfev: 685
nit: 9
status: 0
success: True
x: array([ 2.03005408e+02, -8.80806351e-02, 2.15000154e+02])
xopt: array([203., 0., 216.])
zopt: array([203., 203., 419.])
*******************************************
Period: 41
direc: array([[-2.43336226e+00, 0.00000000e+00, 1.00000000e+00],
[-1.14216639e+01, 0.00000000e+00, 7.04066801e+00],
[ 3.68510122e-04, 1.00000000e+00, -2.27146583e-04]])
fopt: 0.3936015005023316
fun: -0.38928540552324475
message: 'Optimization terminated successfully.'
nfev: 636
nit: 7
status: 0
success: True
x: array([196.64718852, 5.0264502 , 89.00008676])
xopt: array([197., 6., 90.])
zopt: array([197., 203., 293.])
*******************************************
Period: 42
direc: array([[-2.70085843e-01, 6.69944741e+01, 2.80225853e+01],
[-2.28979413e+00, 0.00000000e+00, 2.00000003e+00],
[-2.28979403e+00, -2.44041530e-05, 5.02857210e-01]])
fopt: 0.797431846081482
fun: -0.798971190320711
message: 'Optimization terminated successfully.'
nfev: 777
nit: 10
status: 0
success: True
x: array([115.15870205, 82.02775914, 228.50531618])
xopt: array([115., 82., 228.])
zopt: array([115., 197., 425.])
*******************************************
Period: 43
direc: array([[-1.06700660e-10, -3.90429062e-08, -3.71873768e-06],
[ 3.41275272e+00, 1.37409328e+00, -2.52263952e+00],
[ 1.79018360e+01, 1.34993583e+01, -1.32326842e+01]])
fopt: 0.705253897833437
fun: -0.7010497980204675
message: 'Optimization terminated successfully.'
nfev: 721
nit: 9
status: 0
success: True
x: array([181.91595051, 18.15308764, 213.13505964])
xopt: array([182., 19., 214.])
zopt: array([182., 201., 415.])
*******************************************
Period: 44
direc: array([[ 9.16245850e-03, 4.43811338e+01, 1.04027330e+00],
[-2.31180045e+02, 9.22661813e+01, 9.22661813e+01],
[ 1.20238089e+00, -1.09802054e+02, 1.09675019e+02]])
fopt: 0.8147565355326544
fun: -0.815206762446313
message: 'Optimization terminated successfully.'
nfev: 776
nit: 10
status: 0
success: True
x: array([ 77.48304733, 120.00424496, 227.60657259])
xopt: array([ 77., 120., 228.])
zopt: array([ 77., 197., 425.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4o2bs15m.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi6ww5q6g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.85222
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.37574 1.85222
Optimal solution found (tolerance 1.00e-02)
Best objective 3.375742060899e+00, best bound 3.375742060899e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy8xiru3g.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph29o8p2k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21188
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.881543e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.8815427 2.88154 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.88154 1.21188
Optimal solution found (tolerance 1.00e-02)
Best objective 2.881542729741e+00, best bound 2.881542729741e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf1oki8ph.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp28ihetnj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.61467
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.792408e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.79241 0 3 1.61467 2.79241 72.9% - 0s
H 0 0 2.5411464 2.79241 9.89% - 0s
0 0 cutoff 0 2.54115 2.54115 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.54115 1.61467
Optimal solution found (tolerance 1.00e-02)
Best objective 2.541146432002e+00, best bound 2.541146432002e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoh8uv9z0.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3c6phwap.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.68576
Presolve removed 147 rows and 104 columns
Presolve time: 0.01s
Presolved: 44 rows, 38 columns, 145 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 2.525484e+00, 21 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.52548 0 4 1.68576 2.52548 49.8% - 0s
H 0 0 2.1493727 2.52548 17.5% - 0s
0 0 cutoff 0 2.14937 2.14937 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 1
Flow path: 1
Explored 1 nodes (25 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.14937 1.68576
Optimal solution found (tolerance 1.00e-02)
Best objective 2.149372721329e+00, best bound 2.149372721329e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg_8_kmr4.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpol7w_yqa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.60404
Presolve removed 121 rows and 84 columns
Presolve time: 0.01s
Presolved: 116 rows, 91 columns, 404 nonzeros
Variable types: 44 continuous, 47 integer (41 binary)
Root relaxation: objective 2.506738e+00, 77 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.50674 0 4 1.60404 2.50674 56.3% - 0s
H 0 0 1.9597015 2.50674 27.9% - 0s
0 0 cutoff 0 1.95970 1.95970 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (101 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.9597 1.60404
Optimal solution found (tolerance 1.00e-02)
Best objective 1.959701482721e+00, best bound 1.959701482721e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplwrfdnxe.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpet6mmzqi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51078
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.616717e+00, 94 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.61672 0 8 1.51078 2.61672 73.2% - 0s
0 0 2.08840 0 5 1.51078 2.08840 38.2% - 0s
H 0 0 1.6415603 2.08840 27.2% - 0s
0 0 2.08353 0 5 1.64156 2.08353 26.9% - 0s
0 0 2.07584 0 6 1.64156 2.07584 26.5% - 0s
H 0 0 1.7390118 2.07584 19.4% - 0s
0 0 2.07489 0 6 1.73901 2.07489 19.3% - 0s
0 0 2.05461 0 6 1.73901 2.05461 18.1% - 0s
H 0 0 1.9343447 2.05461 6.22% - 0s
0 0 2.05272 0 6 1.93434 2.05272 6.12% - 0s
H 0 0 1.9831421 2.05272 3.51% - 0s
0 0 2.05190 0 6 1.98314 2.05190 3.47% - 0s
0 0 2.05190 0 6 1.98314 2.05190 3.47% - 0s
H 0 0 1.9847872 2.05190 3.38% - 0s
0 0 2.00545 0 1 1.98479 2.00545 1.04% - 0s
0 0 infeasible 0 1.98479 1.98479 0.00% - 0s
Explored 1 nodes (191 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.98479 1.98314 1.93434 ... 1.51078
Optimal solution found (tolerance 1.00e-02)
Best objective 1.984787210586e+00, best bound 1.984787210586e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp642_n6fn.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps3qf_0x4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.60829
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.429641e+00, 115 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.42964 0 12 1.60829 2.42964 51.1% - 0s
H 0 0 1.6160695 2.42964 50.3% - 0s
0 0 2.16395 0 16 1.61607 2.16395 33.9% - 0s
H 0 0 1.8094054 2.16395 19.6% - 0s
0 0 2.15930 0 16 1.80941 2.15930 19.3% - 0s
0 0 1.89544 0 9 1.80941 1.89544 4.75% - 0s
0 0 1.89445 0 11 1.80941 1.89445 4.70% - 0s
0 0 1.89445 0 11 1.80941 1.89445 4.70% - 0s
0 0 1.86012 0 10 1.80941 1.86012 2.80% - 0s
0 0 1.86011 0 8 1.80941 1.86011 2.80% - 0s
0 0 1.86011 0 8 1.80941 1.86011 2.80% - 0s
0 0 1.86011 0 4 1.80941 1.86011 2.80% - 0s
0 0 1.82712 0 1 1.80941 1.82712 0.98% - 0s
Cutting planes:
Gomory: 3
Implied bound: 2
MIR: 1
Explored 1 nodes (254 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.80941 1.61607 1.60829
Optimal solution found (tolerance 1.00e-02)
Best objective 1.809405351832e+00, best bound 1.827117122135e+00, gap 0.9789%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_7rwwub_.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb4andi5w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.52469
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.299453e+00, 134 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29945 0 12 1.52469 2.29945 50.8% - 0s
0 0 1.96268 0 18 1.52469 1.96268 28.7% - 0s
H 0 0 1.6825291 1.96268 16.7% - 0s
0 0 1.96263 0 18 1.68253 1.96263 16.6% - 0s
0 0 1.76235 0 8 1.68253 1.76235 4.74% - 0s
H 0 0 1.7135760 1.76235 2.85% - 0s
0 0 1.76152 0 6 1.71358 1.76152 2.80% - 0s
0 0 1.76152 0 7 1.71358 1.76152 2.80% - 0s
0 0 1.76152 0 7 1.71358 1.76152 2.80% - 0s
0 0 1.76152 0 4 1.71358 1.76152 2.80% - 0s
0 0 1.73074 0 2 1.71358 1.73074 1.00% - 0s
H 0 0 1.7135760 1.73074 1.00% - 0s
0 0 1.72907 0 1 1.71358 1.72907 0.90% - 0s
Cutting planes:
Gomory: 6
Implied bound: 1
MIR: 1
Flow cover: 2
Explored 1 nodes (292 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.71358 1.71358 1.68253 1.52469
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.5400e-06) exceeds tolerance
Best objective 1.713575998900e+00, best bound 1.729073779295e+00, gap 0.9044%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg3vrwbyj.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwk6mn1qo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49066
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.051160e+00, 164 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05116 0 14 1.49066 2.05116 37.6% - 0s
0 0 1.68383 0 16 1.49066 1.68383 13.0% - 0s
0 0 1.67897 0 16 1.49066 1.67897 12.6% - 0s
0 0 1.57357 0 10 1.49066 1.57357 5.56% - 0s
0 0 1.57270 0 10 1.49066 1.57270 5.50% - 0s
0 0 1.55016 0 10 1.49066 1.55016 3.99% - 0s
0 0 1.55016 0 9 1.49066 1.55016 3.99% - 0s
H 0 0 1.4921724 1.55016 3.89% - 0s
0 2 1.55016 0 9 1.49217 1.55016 3.89% - 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 3
MIR: 3
Flow cover: 13
Explored 22 nodes (355 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.49217 1.49066
Optimal solution found (tolerance 1.00e-02)
Best objective 1.492172449543e+00, best bound 1.506076493613e+00, gap 0.9318%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbzbdg8ze.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp75kapg11.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24414
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.234076e+00, 206 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23408 0 17 1.24414 2.23408 79.6% - 0s
0 0 1.84909 0 26 1.24414 1.84909 48.6% - 0s
0 0 1.82194 0 27 1.24414 1.82194 46.4% - 0s
0 0 1.82194 0 27 1.24414 1.82194 46.4% - 0s
0 0 1.74539 0 17 1.24414 1.74539 40.3% - 0s
H 0 0 1.3297069 1.74539 31.3% - 0s
0 0 1.74499 0 18 1.32971 1.74499 31.2% - 0s
0 0 1.74499 0 18 1.32971 1.74499 31.2% - 0s
0 0 1.72659 0 20 1.32971 1.72659 29.8% - 0s
H 0 0 1.3621786 1.72659 26.8% - 0s
0 0 1.72642 0 22 1.36218 1.72642 26.7% - 0s
0 0 1.72096 0 18 1.36218 1.72096 26.3% - 0s
0 0 1.72078 0 18 1.36218 1.72078 26.3% - 0s
0 0 1.71975 0 19 1.36218 1.71975 26.3% - 0s
0 0 1.71975 0 18 1.36218 1.71975 26.3% - 0s
0 2 1.71975 0 18 1.36218 1.71975 26.3% - 0s
H 33 12 1.4090954 1.66457 18.1% 5.9 0s
* 40 10 13 1.4090955 1.64938 17.1% 6.0 0s
* 56 3 12 1.4176882 1.64938 16.3% 5.7 0s
Cutting planes:
Gomory: 12
Implied bound: 9
Clique: 2
MIR: 6
Flow cover: 22
Flow path: 1
Explored 71 nodes (770 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.41769 1.4091 1.4091 ... 1.24414
Optimal solution found (tolerance 1.00e-02)
Best objective 1.417688200554e+00, best bound 1.417688200554e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbjht2zgq.pyomo.lp
Reading time = 0.01 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8x2r3tjk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21905
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.313451e+00, 266 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.31345 0 16 1.21905 2.31345 89.8% - 0s
0 0 1.83108 0 29 1.21905 1.83108 50.2% - 0s
0 0 1.82812 0 29 1.21905 1.82812 50.0% - 0s
0 0 1.73604 0 25 1.21905 1.73604 42.4% - 0s
0 0 1.73578 0 25 1.21905 1.73578 42.4% - 0s
0 0 1.71837 0 34 1.21905 1.71837 41.0% - 0s
0 0 1.68705 0 36 1.21905 1.68705 38.4% - 0s
0 0 1.68494 0 38 1.21905 1.68494 38.2% - 0s
0 0 1.68484 0 38 1.21905 1.68484 38.2% - 0s
0 0 1.66893 0 35 1.21905 1.66893 36.9% - 0s
0 0 1.66893 0 35 1.21905 1.66893 36.9% - 0s
0 0 1.66893 0 35 1.21905 1.66893 36.9% - 0s
0 2 1.66893 0 35 1.21905 1.66893 36.9% - 0s
* 79 43 19 1.3823024 1.64860 19.3% 5.5 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 6
Clique: 2
MIR: 6
Flow cover: 23
Flow path: 1
Inf proof: 1
Explored 343 nodes (2563 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.3823 1.21905
Optimal solution found (tolerance 1.00e-02)
Best objective 1.382302413843e+00, best bound 1.391211328584e+00, gap 0.6445%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphih9i3pf.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmzy2o0ar.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22035
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.223098e+00, 240 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22310 0 19 1.22035 2.22310 82.2% - 0s
0 0 1.75438 0 33 1.22035 1.75438 43.8% - 0s
0 0 1.75272 0 33 1.22035 1.75272 43.6% - 0s
0 0 1.68807 0 38 1.22035 1.68807 38.3% - 0s
0 0 1.68807 0 38 1.22035 1.68807 38.3% - 0s
0 0 1.66530 0 40 1.22035 1.66530 36.5% - 0s
0 0 1.66521 0 34 1.22035 1.66521 36.5% - 0s
0 0 1.65785 0 34 1.22035 1.65785 35.9% - 0s
0 0 1.65776 0 34 1.22035 1.65776 35.8% - 0s
0 0 1.64671 0 36 1.22035 1.64671 34.9% - 0s
0 0 1.64671 0 36 1.22035 1.64671 34.9% - 0s
0 0 1.64467 0 33 1.22035 1.64467 34.8% - 0s
0 0 1.64467 0 29 1.22035 1.64467 34.8% - 0s
0 2 1.64467 0 29 1.22035 1.64467 34.8% - 0s
* 67 37 23 1.2243604 1.50030 22.5% 6.7 0s
* 147 25 25 1.2253889 1.46893 19.9% 7.2 0s
* 148 16 25 1.3003909 1.46893 13.0% 7.2 0s
* 183 19 23 1.3101063 1.46283 11.7% 6.9 0s
* 260 5 21 1.3819835 1.39232 0.75% 6.2 0s
Cutting planes:
Gomory: 11
Implied bound: 5
Clique: 3
MIR: 9
Flow cover: 24
Flow path: 1
Inf proof: 3
Explored 282 nodes (2198 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.38198 1.31011 1.30039 ... 1.22035
Optimal solution found (tolerance 1.00e-02)
Best objective 1.381983467988e+00, best bound 1.392315333998e+00, gap 0.7476%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqgsavtqt.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy29v35b1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22397
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.238471e+00, 327 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23847 0 20 1.22397 2.23847 82.9% - 0s
0 0 1.84406 0 28 1.22397 1.84406 50.7% - 0s
0 0 1.82547 0 28 1.22397 1.82547 49.1% - 0s
0 0 1.82530 0 29 1.22397 1.82530 49.1% - 0s
0 0 1.78854 0 30 1.22397 1.78854 46.1% - 0s
0 0 1.78854 0 30 1.22397 1.78854 46.1% - 0s
0 0 1.78854 0 26 1.22397 1.78854 46.1% - 0s
0 2 1.78854 0 26 1.22397 1.78854 46.1% - 0s
* 124 41 33 1.4255770 1.63236 14.5% 5.7 0s
Cutting planes:
Gomory: 12
Cover: 3
Implied bound: 18
MIR: 2
Flow cover: 19
Inf proof: 7
Explored 513 nodes (3284 simplex iterations) in 0.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.42558 1.22397
Optimal solution found (tolerance 1.00e-02)
Best objective 1.425577039448e+00, best bound 1.425577039448e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpihwksvdz.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9zti7pna.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31119
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.086547e+00, 317 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08655 0 22 1.31119 2.08655 59.1% - 0s
0 0 1.70962 0 29 1.31119 1.70962 30.4% - 0s
0 0 1.69046 0 28 1.31119 1.69046 28.9% - 0s
0 0 1.66350 0 35 1.31119 1.66350 26.9% - 0s
0 0 1.66334 0 35 1.31119 1.66334 26.9% - 0s
0 0 1.66075 0 38 1.31119 1.66075 26.7% - 0s
0 0 1.66002 0 40 1.31119 1.66002 26.6% - 0s
0 0 1.65827 0 40 1.31119 1.65827 26.5% - 0s
0 0 1.65827 0 40 1.31119 1.65827 26.5% - 0s
0 0 1.65824 0 41 1.31119 1.65824 26.5% - 0s
0 0 1.65824 0 33 1.31119 1.65824 26.5% - 0s
0 2 1.65824 0 33 1.31119 1.65824 26.5% - 0s
* 261 56 37 1.3149269 1.46833 11.7% 4.1 0s
* 916 49 34 1.3162532 1.38962 5.57% 4.8 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 17
Clique: 3
MIR: 4
Flow cover: 21
Flow path: 1
Inf proof: 16
Explored 1043 nodes (5672 simplex iterations) in 0.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31625 1.31493 1.31119
Optimal solution found (tolerance 1.00e-02)
Best objective 1.316253180933e+00, best bound 1.316253180933e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpudjrsfpt.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqmzm5qkl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20815
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.972670e+00, 312 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97267 0 24 1.20815 1.97267 63.3% - 0s
0 0 1.60512 0 27 1.20815 1.60512 32.9% - 0s
0 0 1.58792 0 28 1.20815 1.58792 31.4% - 0s
0 0 1.58792 0 28 1.20815 1.58792 31.4% - 0s
0 0 1.56621 0 38 1.20815 1.56621 29.6% - 0s
0 0 1.56619 0 40 1.20815 1.56619 29.6% - 0s
0 0 1.55431 0 37 1.20815 1.55431 28.7% - 0s
0 0 1.55130 0 38 1.20815 1.55130 28.4% - 0s
0 0 1.55130 0 38 1.20815 1.55130 28.4% - 0s
0 0 1.54727 0 41 1.20815 1.54727 28.1% - 0s
0 0 1.54652 0 39 1.20815 1.54652 28.0% - 0s
0 0 1.54652 0 30 1.20815 1.54652 28.0% - 0s
0 2 1.54652 0 30 1.20815 1.54652 28.0% - 0s
* 248 87 40 1.2208660 1.37884 12.9% 4.2 0s
* 292 100 42 1.2221039 1.37773 12.7% 4.2 0s
Cutting planes:
Gomory: 16
Cover: 2
Implied bound: 17
Clique: 2
MIR: 6
Flow cover: 24
Inf proof: 15
Explored 1160 nodes (6313 simplex iterations) in 0.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.2221 1.22087 1.20815
Optimal solution found (tolerance 1.00e-02)
Best objective 1.222103939716e+00, best bound 1.222103939716e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplqinaeiw.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdhm1zfi9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11157
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.125964e+00, 335 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12596 0 27 1.11157 2.12596 91.3% - 0s
0 0 1.75072 0 28 1.11157 1.75072 57.5% - 0s
0 0 1.74948 0 29 1.11157 1.74948 57.4% - 0s
0 0 1.72914 0 43 1.11157 1.72914 55.6% - 0s
0 0 1.72912 0 43 1.11157 1.72912 55.6% - 0s
0 0 1.71764 0 41 1.11157 1.71764 54.5% - 0s
0 0 1.71607 0 44 1.11157 1.71607 54.4% - 0s
0 0 1.71464 0 44 1.11157 1.71464 54.3% - 0s
0 0 1.71452 0 44 1.11157 1.71452 54.2% - 0s
0 0 1.71104 0 49 1.11157 1.71104 53.9% - 0s
0 0 1.71022 0 48 1.11157 1.71022 53.9% - 0s
0 0 1.70979 0 52 1.11157 1.70979 53.8% - 0s
0 0 1.70979 0 39 1.11157 1.70979 53.8% - 0s
0 2 1.70979 0 39 1.11157 1.70979 53.8% - 0s
* 529 87 40 1.2241434 1.51008 23.4% 6.4 0s
Cutting planes:
Gomory: 16
Cover: 4
Implied bound: 18
Clique: 1
MIR: 6
Flow cover: 31
Flow path: 1
Inf proof: 18
Explored 1540 nodes (9217 simplex iterations) in 0.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.22414 1.11157
Optimal solution found (tolerance 1.00e-02)
Best objective 1.224143408508e+00, best bound 1.224143408508e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_802br_t.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmwmpbhxf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10899
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.074372e+00, 437 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07437 0 30 1.10899 2.07437 87.1% - 0s
0 0 1.71432 0 32 1.10899 1.71432 54.6% - 0s
0 0 1.71315 0 34 1.10899 1.71315 54.5% - 0s
0 0 1.69399 0 52 1.10899 1.69399 52.8% - 0s
0 0 1.69398 0 52 1.10899 1.69398 52.8% - 0s
0 0 1.68311 0 47 1.10899 1.68311 51.8% - 0s
0 0 1.67896 0 46 1.10899 1.67896 51.4% - 0s
0 0 1.67761 0 46 1.10899 1.67761 51.3% - 0s
0 0 1.67750 0 46 1.10899 1.67750 51.3% - 0s
0 0 1.67554 0 46 1.10899 1.67554 51.1% - 0s
0 0 1.67513 0 47 1.10899 1.67513 51.1% - 0s
0 0 1.67039 0 49 1.10899 1.67039 50.6% - 0s
0 0 1.67035 0 51 1.10899 1.67035 50.6% - 0s
0 0 1.67024 0 51 1.10899 1.67024 50.6% - 0s
0 0 1.67024 0 36 1.10899 1.67024 50.6% - 0s
0 2 1.67024 0 36 1.10899 1.67024 50.6% - 0s
* 647 279 49 1.1825704 1.49955 26.8% 7.1 0s
Cutting planes:
Gomory: 15
Cover: 12
Implied bound: 29
Clique: 2
MIR: 6
Flow cover: 34
Flow path: 1
Inf proof: 56
Explored 2963 nodes (21491 simplex iterations) in 1.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.18257 1.10899
Optimal solution found (tolerance 1.00e-02)
Best objective 1.182570443651e+00, best bound 1.193660967115e+00, gap 0.9378%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7gwaw9ea.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpozd0qshi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10392
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.960993e+00, 390 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96099 0 33 1.10392 1.96099 77.6% - 0s
0 0 1.61637 0 42 1.10392 1.61637 46.4% - 0s
0 0 1.61526 0 41 1.10392 1.61526 46.3% - 0s
0 0 1.61526 0 41 1.10392 1.61526 46.3% - 0s
0 0 1.59790 0 53 1.10392 1.59790 44.7% - 0s
0 0 1.59774 0 53 1.10392 1.59774 44.7% - 0s
0 0 1.59415 0 50 1.10392 1.59415 44.4% - 0s
0 0 1.59191 0 52 1.10392 1.59191 44.2% - 0s
0 0 1.59189 0 52 1.10392 1.59189 44.2% - 0s
0 0 1.59151 0 54 1.10392 1.59151 44.2% - 0s
0 0 1.59121 0 55 1.10392 1.59121 44.1% - 0s
0 0 1.59119 0 55 1.10392 1.59119 44.1% - 0s
0 0 1.59114 0 54 1.10392 1.59114 44.1% - 0s
0 0 1.59114 0 44 1.10392 1.59114 44.1% - 0s
0 2 1.59114 0 43 1.10392 1.59114 44.1% - 0s
* 784 291 47 1.1085971 1.42094 28.2% 7.8 0s
Cutting planes:
Gomory: 14
Cover: 5
Implied bound: 20
Clique: 3
MIR: 5
Flow cover: 37
Inf proof: 29
Explored 2355 nodes (15777 simplex iterations) in 1.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.1086 1.10392
Optimal solution found (tolerance 1.00e-02)
Best objective 1.108597128644e+00, best bound 1.108597128644e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjxqn8uk_.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvyslfe7m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0155
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.943229e+00, 438 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94323 0 37 1.01550 1.94323 91.4% - 0s
0 0 1.60307 0 43 1.01550 1.60307 57.9% - 0s
0 0 1.60202 0 42 1.01550 1.60202 57.8% - 0s
0 0 1.58008 0 54 1.01550 1.58008 55.6% - 0s
0 0 1.57999 0 54 1.01550 1.57999 55.6% - 0s
0 0 1.56661 0 54 1.01550 1.56661 54.3% - 0s
0 0 1.56609 0 55 1.01550 1.56609 54.2% - 0s
0 0 1.56481 0 55 1.01550 1.56481 54.1% - 0s
0 0 1.56481 0 55 1.01550 1.56481 54.1% - 0s
0 0 1.56268 0 59 1.01550 1.56268 53.9% - 0s
0 0 1.56265 0 59 1.01550 1.56265 53.9% - 0s
0 0 1.56262 0 58 1.01550 1.56262 53.9% - 0s
0 0 1.56262 0 45 1.01550 1.56262 53.9% - 0s
0 2 1.56262 0 44 1.01550 1.56262 53.9% - 0s
* 1128 413 49 1.0632658 1.28167 20.5% 10.8 2s
Cutting planes:
Learned: 1
Gomory: 29
Cover: 6
Implied bound: 12
Projected implied bound: 14
Clique: 3
MIR: 10
Flow cover: 37
Inf proof: 9
Explored 1999 nodes (20405 simplex iterations) in 3.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.06327 1.0155
Optimal solution found (tolerance 1.00e-02)
Best objective 1.063265849727e+00, best bound 1.063265849727e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw_qi7plv.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx2yxao9o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.976714
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.873453e+00, 523 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87345 0 38 0.97671 1.87345 91.8% - 0s
0 0 1.54025 0 43 0.97671 1.54025 57.7% - 0s
0 0 1.53926 0 42 0.97671 1.53926 57.6% - 0s
0 0 1.52368 0 56 0.97671 1.52368 56.0% - 0s
0 0 1.52318 0 57 0.97671 1.52318 55.9% - 0s
0 0 1.52244 0 64 0.97671 1.52244 55.9% - 0s
0 0 1.52244 0 54 0.97671 1.52244 55.9% - 0s
0 2 1.52244 0 54 0.97671 1.52244 55.9% - 0s
* 1191 420 74 1.0155972 1.33792 31.7% 6.9 0s
* 3722 241 69 1.0185398 1.08710 6.73% 6.6 2s
Cutting planes:
Gomory: 21
Cover: 14
Implied bound: 28
Clique: 3
MIR: 6
Flow cover: 43
Inf proof: 51
Explored 4036 nodes (27218 simplex iterations) in 2.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.01854 1.0156 0.976714
Optimal solution found (tolerance 1.00e-02)
Best objective 1.018539840068e+00, best bound 1.018539840068e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf7rggdnk.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4ujdjr_f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.94797
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.805230e+00, 463 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80523 0 42 0.94797 1.80523 90.4% - 0s
0 0 1.47426 0 45 0.94797 1.47426 55.5% - 0s
0 0 1.47336 0 45 0.94797 1.47336 55.4% - 0s
0 0 1.45837 0 54 0.94797 1.45837 53.8% - 0s
0 0 1.45807 0 54 0.94797 1.45807 53.8% - 0s
0 0 1.45696 0 67 0.94797 1.45696 53.7% - 0s
0 0 1.45696 0 60 0.94797 1.45696 53.7% - 0s
0 2 1.45696 0 60 0.94797 1.45696 53.7% - 0s
* 2490 323 52 0.9625657 1.13409 17.8% 11.3 4s
* 2491 321 52 0.9653382 1.13409 17.5% 11.3 4s
* 2665 256 53 0.9667640 1.13240 17.1% 11.3 4s
* 2928 115 53 0.9715110 1.05900 9.01% 11.2 4s
3000 70 infeasible 24 0.97151 1.02493 5.50% 11.1 5s
* 3074 64 65 0.9750166 1.01726 4.33% 11.0 5s
* 3129 0 61 0.9770671 1.01320 3.70% 10.9 5s
* 3204 0 60 0.9772795 0.97728 0.00% 10.8 5s
Cutting planes:
Learned: 1
Gomory: 30
Cover: 2
Implied bound: 17
Projected implied bound: 25
Clique: 2
MIR: 13
Flow cover: 68
Flow path: 3
Inf proof: 33
Explored 3206 nodes (35437 simplex iterations) in 5.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.977279 0.977067 0.975017 ... 0.94797
Optimal solution found (tolerance 1.00e-02)
Best objective 9.772794775728e-01, best bound 9.772794775728e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6rg26l_l.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0pqvsx_m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.989834
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.817601e+00, 624 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81760 0 49 0.98983 1.81760 83.6% - 0s
0 0 1.52722 0 57 0.98983 1.52722 54.3% - 0s
0 0 1.52628 0 57 0.98983 1.52628 54.2% - 0s
0 0 1.50916 0 72 0.98983 1.50916 52.5% - 0s
0 0 1.50498 0 59 0.98983 1.50498 52.0% - 0s
0 0 1.50385 0 65 0.98983 1.50385 51.9% - 0s
0 0 1.50368 0 65 0.98983 1.50368 51.9% - 0s
0 0 1.50223 0 66 0.98983 1.50223 51.8% - 0s
0 0 1.50179 0 67 0.98983 1.50179 51.7% - 0s
0 0 1.50068 0 67 0.98983 1.50068 51.6% - 0s
0 0 1.49628 0 75 0.98983 1.49628 51.2% - 0s
0 0 1.49624 0 75 0.98983 1.49624 51.2% - 0s
0 0 1.49621 0 74 0.98983 1.49621 51.2% - 0s
0 0 1.49621 0 60 0.98983 1.49621 51.2% - 0s
0 2 1.49621 0 59 0.98983 1.49621 51.2% - 0s
2551 520 1.04801 38 30 0.98983 1.18439 19.7% 11.7 5s
Cutting planes:
Gomory: 29
Cover: 1
Implied bound: 21
Projected implied bound: 28
Clique: 2
MIR: 10
Flow cover: 56
Flow path: 1
Inf proof: 33
Explored 4141 nodes (46323 simplex iterations) in 6.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.989834
Optimal solution found (tolerance 1.00e-02)
Best objective 9.898338441281e-01, best bound 9.989388872349e-01, gap 0.9199%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp4fnlmun.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpph86y86t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00332
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.779016e+00, 543 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77902 0 50 1.00332 1.77902 77.3% - 0s
0 0 1.70809 0 59 1.00332 1.70809 70.2% - 0s
0 0 1.70723 0 61 1.00332 1.70723 70.2% - 0s
0 0 1.69187 0 70 1.00332 1.69187 68.6% - 0s
0 0 1.69181 0 70 1.00332 1.69181 68.6% - 0s
0 0 1.68441 0 70 1.00332 1.68441 67.9% - 0s
0 0 1.68182 0 75 1.00332 1.68182 67.6% - 0s
0 0 1.68000 0 69 1.00332 1.68000 67.4% - 0s
0 0 1.67943 0 72 1.00332 1.67943 67.4% - 0s
0 0 1.67909 0 72 1.00332 1.67909 67.4% - 0s
0 0 1.67891 0 71 1.00332 1.67891 67.3% - 0s
0 0 1.67419 0 71 1.00332 1.67419 66.9% - 0s
0 0 1.67416 0 74 1.00332 1.67416 66.9% - 0s
0 0 1.67408 0 79 1.00332 1.67408 66.9% - 0s
0 0 1.67381 0 79 1.00332 1.67381 66.8% - 0s
0 0 1.67381 0 74 1.00332 1.67381 66.8% - 0s
0 2 1.67381 0 74 1.00332 1.67381 66.8% - 0s
* 1424 478 90 1.0033622 1.40110 39.6% 9.3 2s
* 1426 457 88 1.0035354 1.40110 39.6% 9.3 2s
Cutting planes:
Gomory: 3
Implied bound: 5
MIR: 2
Flow cover: 10
Explored 4232 nodes (36885 simplex iterations) in 4.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.00354 1.00336 1.00332
Optimal solution found (tolerance 1.00e-02)
Best objective 1.003535433098e+00, best bound 1.012695833991e+00, gap 0.9128%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpots4kke3.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwvdh9eq4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00522
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.732475e+00, 535 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73247 0 54 1.00522 1.73247 72.3% - 0s
0 0 1.66756 0 65 1.00522 1.66756 65.9% - 0s
0 0 1.66673 0 67 1.00522 1.66673 65.8% - 0s
0 0 1.64480 0 71 1.00522 1.64480 63.6% - 0s
0 0 1.64468 0 71 1.00522 1.64468 63.6% - 0s
0 0 1.64308 0 76 1.00522 1.64308 63.5% - 0s
0 0 1.64165 0 77 1.00522 1.64165 63.3% - 0s
0 0 1.63948 0 77 1.00522 1.63948 63.1% - 0s
0 0 1.63942 0 77 1.00522 1.63942 63.1% - 0s
0 0 1.63791 0 78 1.00522 1.63791 62.9% - 0s
0 0 1.63629 0 78 1.00522 1.63629 62.8% - 0s
0 0 1.63629 0 78 1.00522 1.63629 62.8% - 0s
0 0 1.63629 0 64 1.00522 1.63629 62.8% - 0s
0 2 1.63629 0 64 1.00522 1.63629 62.8% - 0s
* 2684 639 75 1.0073006 1.17211 16.4% 11.5 4s
2736 610 1.12175 37 44 1.00730 1.16660 15.8% 11.5 5s
* 4011 234 76 1.0075234 1.04958 4.17% 11.1 6s
* 4052 236 75 1.0084138 1.04930 4.05% 11.0 6s
Cutting planes:
Gomory: 31
Cover: 2
Implied bound: 16
Projected implied bound: 25
Clique: 1
MIR: 6
Flow cover: 46
Inf proof: 25
Explored 4390 nodes (47953 simplex iterations) in 6.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.00841 1.00752 1.0073 1.00522
Optimal solution found (tolerance 1.00e-02)
Best objective 1.008413803058e+00, best bound 1.008413803058e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgxgl2qkx.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyyump0tr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.969207
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.662714e+00, 658 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66271 0 55 0.96921 1.66271 71.6% - 0s
0 0 1.60122 0 68 0.96921 1.60122 65.2% - 0s
0 0 1.60029 0 69 0.96921 1.60029 65.1% - 0s
0 0 1.58771 0 71 0.96921 1.58771 63.8% - 0s
0 0 1.58757 0 74 0.96921 1.58757 63.8% - 0s
0 0 1.58551 0 81 0.96921 1.58551 63.6% - 0s
0 0 1.57636 0 80 0.96921 1.57636 62.6% - 0s
0 0 1.57573 0 85 0.96921 1.57573 62.6% - 0s
0 0 1.57551 0 82 0.96921 1.57551 62.6% - 0s
0 0 1.57529 0 84 0.96921 1.57529 62.5% - 0s
0 0 1.57529 0 84 0.96921 1.57529 62.5% - 0s
0 0 1.57478 0 83 0.96921 1.57478 62.5% - 0s
0 0 1.57478 0 83 0.96921 1.57478 62.5% - 0s
0 0 1.57478 0 83 0.96921 1.57478 62.5% - 0s
0 0 1.57478 0 68 0.96921 1.57478 62.5% - 0s
0 2 1.57478 0 67 0.96921 1.57478 62.5% - 0s
4525 472 cutoff 32 0.96921 1.09336 12.8% 9.3 5s
Cutting planes:
Learned: 1
Gomory: 4
Implied bound: 6
Clique: 1
MIR: 3
Flow cover: 13
Inf proof: 2
Explored 5549 nodes (51284 simplex iterations) in 5.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.969207
Optimal solution found (tolerance 1.00e-02)
Best objective 9.692071159744e-01, best bound 9.692071159744e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp301t20ep.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2bgrw0b3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.959772
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.714177e+00, 732 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71418 0 54 0.95977 1.71418 78.6% - 0s
0 0 1.65271 0 66 0.95977 1.65271 72.2% - 0s
0 0 1.65194 0 66 0.95977 1.65194 72.1% - 0s
0 0 1.63992 0 80 0.95977 1.63992 70.9% - 0s
0 0 1.63937 0 74 0.95977 1.63937 70.8% - 0s
0 0 1.63845 0 78 0.95977 1.63845 70.7% - 0s
0 0 1.63713 0 82 0.95977 1.63713 70.6% - 0s
0 0 1.63504 0 82 0.95977 1.63504 70.4% - 0s
0 0 1.63430 0 82 0.95977 1.63430 70.3% - 0s
0 0 1.63258 0 91 0.95977 1.63258 70.1% - 0s
0 0 1.63246 0 91 0.95977 1.63246 70.1% - 0s
0 0 1.63231 0 94 0.95977 1.63231 70.1% - 0s
0 0 1.63230 0 94 0.95977 1.63230 70.1% - 0s
0 0 1.63141 0 93 0.95977 1.63141 70.0% - 0s
0 0 1.63140 0 93 0.95977 1.63140 70.0% - 0s
0 0 1.63140 0 93 0.95977 1.63140 70.0% - 0s
0 2 1.63140 0 93 0.95977 1.63140 70.0% - 0s
H 2329 486 0.9617450 1.22500 27.4% 8.4 3s
* 4073 950 93 0.9631177 1.15178 19.6% 7.4 4s
4971 830 infeasible 71 0.96312 1.09016 13.2% 7.4 5s
Explored 6998 nodes (53146 simplex iterations) in 6.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.963118 0.961745 0.959772
Optimal solution found (tolerance 1.00e-02)
Best objective 9.631176599088e-01, best bound 9.631176599088e-01, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj4_4tyhl.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw08vkcyo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.955926
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.672319e+00, 781 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67232 0 57 0.95593 1.67232 74.9% - 0s
0 0 1.61443 0 63 0.95593 1.61443 68.9% - 0s
0 0 1.61349 0 71 0.95593 1.61349 68.8% - 0s
0 0 1.60041 0 83 0.95593 1.60041 67.4% - 0s
0 0 1.59882 0 79 0.95593 1.59882 67.3% - 0s
0 0 1.58898 0 78 0.95593 1.58898 66.2% - 0s
0 0 1.58733 0 85 0.95593 1.58733 66.1% - 0s
0 0 1.58385 0 84 0.95593 1.58385 65.7% - 0s
0 0 1.58385 0 84 0.95593 1.58385 65.7% - 0s
0 0 1.58306 0 87 0.95593 1.58306 65.6% - 0s
0 0 1.58191 0 88 0.95593 1.58191 65.5% - 0s
0 0 1.58041 0 87 0.95593 1.58041 65.3% - 0s
0 0 1.58019 0 85 0.95593 1.58019 65.3% - 0s
0 0 1.57996 0 87 0.95593 1.57996 65.3% - 0s
0 0 1.57991 0 89 0.95593 1.57991 65.3% - 0s
0 0 1.57980 0 87 0.95593 1.57980 65.3% - 0s
0 0 1.57968 0 89 0.95593 1.57968 65.3% - 0s
0 0 1.57968 0 76 0.95593 1.57968 65.3% - 0s
0 2 1.57968 0 75 0.95593 1.57968 65.3% - 0s
2480 687 1.16761 39 47 0.95593 1.29748 35.7% 11.8 5s
H 3763 1029 0.9571527 1.22716 28.2% 11.3 6s
H 3765 1029 0.9571527 1.22716 28.2% 11.3 6s
H 3767 1028 0.9578012 1.22380 27.8% 11.3 6s
H 6489 519 0.9578012 1.05859 10.5% 11.2 9s
6527 441 cutoff 39 0.95780 1.05120 9.75% 11.2 10s
Cutting planes:
Gomory: 7
Implied bound: 12
Projected implied bound: 11
Clique: 1
MIR: 8
Flow cover: 37
Inf proof: 6
Explored 7252 nodes (80434 simplex iterations) in 10.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.957801 0.957801 0.957153 ... 0.955926
Optimal solution found (tolerance 1.00e-02)
Best objective 9.578012263837e-01, best bound 9.578012263837e-01, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmjjdpq3a.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyd47bm7n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.948457
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.646742e+00, 800 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64674 0 60 0.94846 1.64674 73.6% - 0s
0 0 1.59633 0 67 0.94846 1.59633 68.3% - 0s
0 0 1.59562 0 67 0.94846 1.59562 68.2% - 0s
0 0 1.57935 0 85 0.94846 1.57935 66.5% - 0s
0 0 1.57909 0 85 0.94846 1.57909 66.5% - 0s
0 0 1.57107 0 87 0.94846 1.57107 65.6% - 0s
0 0 1.56932 0 83 0.94846 1.56932 65.5% - 0s
0 0 1.56914 0 89 0.94846 1.56914 65.4% - 0s
0 0 1.56909 0 90 0.94846 1.56909 65.4% - 0s
0 0 1.56909 0 90 0.94846 1.56909 65.4% - 0s
0 0 1.56909 0 90 0.94846 1.56909 65.4% - 0s
0 2 1.56909 0 90 0.94846 1.56909 65.4% - 0s
* 561 390 118 0.9503660 1.42612 50.1% 11.1 0s
* 1499 624 113 0.9508679 1.40746 48.0% 11.0 3s
3694 1220 0.95993 92 10 0.95087 1.25516 32.0% 10.3 5s
* 8151 176 80 0.9509891 0.99822 4.97% 8.7 9s
* 8402 0 81 0.9554384 0.95973 0.45% 8.6 9s
Cutting planes:
Gomory: 3
Implied bound: 12
Clique: 3
MIR: 5
Flow cover: 21
Inf proof: 3
Explored 8413 nodes (73794 simplex iterations) in 9.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.955438 0.950989 0.950868 ... 0.948457
Optimal solution found (tolerance 1.00e-02)
Best objective 9.554383838259e-01, best bound 9.597280320433e-01, gap 0.4490%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5p3s3_rq.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf15dqzgq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.963462
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.654837e+00, 763 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65484 0 61 0.96346 1.65484 71.8% - 0s
0 0 1.60618 0 73 0.96346 1.60618 66.7% - 0s
0 0 1.60549 0 75 0.96346 1.60549 66.6% - 0s
0 0 1.59379 0 84 0.96346 1.59379 65.4% - 0s
0 0 1.59371 0 84 0.96346 1.59371 65.4% - 0s
0 0 1.59159 0 86 0.96346 1.59159 65.2% - 0s
0 0 1.58591 0 95 0.96346 1.58591 64.6% - 0s
0 0 1.58507 0 98 0.96346 1.58507 64.5% - 0s
0 0 1.58499 0 100 0.96346 1.58499 64.5% - 0s
0 0 1.58464 0 101 0.96346 1.58464 64.5% - 0s
0 0 1.58462 0 101 0.96346 1.58462 64.5% - 0s
0 0 1.58415 0 98 0.96346 1.58415 64.4% - 0s
0 0 1.58415 0 99 0.96346 1.58415 64.4% - 0s
0 0 1.58410 0 96 0.96346 1.58410 64.4% - 0s
0 0 1.58410 0 96 0.96346 1.58410 64.4% - 0s
0 0 1.58410 0 78 0.96346 1.58410 64.4% - 0s
0 2 1.58410 0 75 0.96346 1.58410 64.4% - 0s
* 1158 580 118 0.9640764 1.43307 48.6% 10.5 2s
3378 1243 1.15926 38 42 0.96408 1.24746 29.4% 10.8 5s
8394 87 infeasible 50 0.96408 0.98320 1.98% 10.1 10s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 8
Clique: 2
MIR: 2
Flow cover: 19
Inf proof: 1
Explored 8584 nodes (86790 simplex iterations) in 10.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.964076 0.963462
Optimal solution found (tolerance 1.00e-02)
Best objective 9.640763823879e-01, best bound 9.671913884842e-01, gap 0.3231%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2q5ntyw3.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpda05q1u8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.952384
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.636010e+00, 863 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63601 0 65 0.95238 1.63601 71.8% - 0s
0 0 1.58798 0 76 0.95238 1.58798 66.7% - 0s
0 0 1.58732 0 75 0.95238 1.58732 66.7% - 0s
0 0 1.57295 0 86 0.95238 1.57295 65.2% - 0s
0 0 1.57292 0 86 0.95238 1.57292 65.2% - 0s
0 0 1.57213 0 80 0.95238 1.57213 65.1% - 0s
0 0 1.57097 0 81 0.95238 1.57097 65.0% - 0s
0 0 1.57031 0 81 0.95238 1.57031 64.9% - 0s
0 0 1.56956 0 85 0.95238 1.56956 64.8% - 0s
0 0 1.56801 0 86 0.95238 1.56801 64.6% - 0s
0 0 1.56801 0 87 0.95238 1.56801 64.6% - 0s
0 0 1.56694 0 96 0.95238 1.56694 64.5% - 0s
0 0 1.56694 0 89 0.95238 1.56694 64.5% - 0s
0 0 1.56694 0 94 0.95238 1.56694 64.5% - 0s
0 0 1.56692 0 94 0.95238 1.56692 64.5% - 0s
0 0 1.56691 0 95 0.95238 1.56691 64.5% - 0s
0 0 1.56691 0 86 0.95238 1.56691 64.5% - 0s
0 2 1.56691 0 81 0.95238 1.56691 64.5% - 0s
* 1823 606 135 0.9658946 1.30658 35.3% 11.8 3s
3282 996 0.97445 48 47 0.96589 1.21769 26.1% 10.6 5s
H 4341 1048 0.9680566 1.15639 19.5% 10.5 6s
* 5213 1029 94 0.9684970 1.11845 15.5% 10.6 7s
H 6305 642 0.9691656 1.05301 8.65% 10.3 8s
Cutting planes:
Learned: 1
Gomory: 3
Cover: 1
Implied bound: 7
MIR: 7
Flow cover: 11
Inf proof: 1
Explored 7371 nodes (74312 simplex iterations) in 9.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.969166 0.968497 0.968057 ... 0.952384
Optimal solution found (tolerance 1.00e-02)
Best objective 9.691656317103e-01, best bound 9.732072730198e-01, gap 0.4170%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7c8xpiq6.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbxky6pku.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95807
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.607912e+00, 992 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60791 0 66 0.95807 1.60791 67.8% - 0s
0 0 1.56184 0 75 0.95807 1.56184 63.0% - 0s
0 0 1.56116 0 75 0.95807 1.56116 62.9% - 0s
0 0 1.54531 0 83 0.95807 1.54531 61.3% - 0s
0 0 1.54479 0 91 0.95807 1.54479 61.2% - 0s
0 0 1.54446 0 100 0.95807 1.54446 61.2% - 0s
0 0 1.54335 0 90 0.95807 1.54335 61.1% - 0s
0 0 1.54298 0 97 0.95807 1.54298 61.1% - 0s
0 0 1.54294 0 95 0.95807 1.54294 61.0% - 0s
0 0 1.54290 0 95 0.95807 1.54290 61.0% - 0s
0 0 1.54287 0 96 0.95807 1.54287 61.0% - 0s
0 0 1.54287 0 87 0.95807 1.54287 61.0% - 0s
0 2 1.54287 0 84 0.95807 1.54287 61.0% - 0s
3282 949 1.00619 58 49 0.95807 1.18083 23.3% 10.4 5s
H 4857 1007 0.9588636 1.11948 16.8% 11.6 7s
H 4886 997 0.9625755 1.11808 16.2% 11.7 7s
6722 156 infeasible 67 0.96258 0.99624 3.50% 11.7 10s
Cutting planes:
Learned: 2
Gomory: 3
Cover: 2
Implied bound: 10
Clique: 1
MIR: 8
Flow cover: 15
Flow path: 1
Inf proof: 2
Explored 7191 nodes (83463 simplex iterations) in 10.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.962576 0.958864 0.95807
Optimal solution found (tolerance 1.00e-02)
Best objective 9.625755322080e-01, best bound 9.707385191966e-01, gap 0.8480%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbjwwv9d1.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3c2x0ce_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95582
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.581495e+00, 953 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58149 0 70 0.95582 1.58149 65.5% - 0s
0 0 1.53710 0 79 0.95582 1.53710 60.8% - 0s
0 0 1.53645 0 81 0.95582 1.53645 60.7% - 0s
0 0 1.52005 0 89 0.95582 1.52005 59.0% - 0s
0 0 1.51782 0 90 0.95582 1.51782 58.8% - 0s
0 0 1.51111 0 95 0.95582 1.51111 58.1% - 0s
0 0 1.50474 0 98 0.95582 1.50474 57.4% - 0s
0 0 1.50212 0 97 0.95582 1.50212 57.2% - 0s
0 0 1.50212 0 101 0.95582 1.50212 57.2% - 0s
0 0 1.49954 0 98 0.95582 1.49954 56.9% - 0s
0 0 1.49923 0 95 0.95582 1.49923 56.9% - 0s
0 0 1.49686 0 92 0.95582 1.49686 56.6% - 0s
0 0 1.49668 0 92 0.95582 1.49668 56.6% - 0s
0 0 1.49582 0 98 0.95582 1.49582 56.5% - 0s
0 0 1.49582 0 100 0.95582 1.49582 56.5% - 0s
0 0 1.49582 0 100 0.95582 1.49582 56.5% - 0s
0 0 1.49582 0 101 0.95582 1.49582 56.5% - 0s
0 0 1.49582 0 86 0.95582 1.49582 56.5% - 0s
0 0 1.49582 0 88 0.95582 1.49582 56.5% - 0s
0 0 1.49581 0 89 0.95582 1.49581 56.5% - 0s
0 0 1.49581 0 88 0.95582 1.49581 56.5% - 0s
0 2 1.49581 0 88 0.95582 1.49581 56.5% - 0s
* 464 336 138 0.9574526 1.35278 41.3% 12.4 1s
2651 765 1.06753 39 65 0.95745 1.22759 28.2% 11.7 5s
* 6941 851 80 0.9576411 1.04327 8.94% 10.2 9s
* 7135 848 77 0.9604838 1.04153 8.44% 10.1 9s
7499 757 0.97600 79 29 0.96048 1.03204 7.45% 10.1 10s
Cutting planes:
Gomory: 3
Implied bound: 7
Clique: 1
MIR: 9
Flow cover: 16
Inf proof: 2
Explored 8877 nodes (90425 simplex iterations) in 11.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.960484 0.957641 0.957453 0.95582
Optimal solution found (tolerance 1.00e-02)
Best objective 9.604837809848e-01, best bound 9.663119519397e-01, gap 0.6068%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsklwdtuc.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjd0izcgo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.948887
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.554453e+00, 881 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55445 0 72 0.94889 1.55445 63.8% - 0s
0 0 1.51340 0 78 0.94889 1.51340 59.5% - 0s
0 0 1.51272 0 84 0.94889 1.51272 59.4% - 0s
0 0 1.48906 0 90 0.94889 1.48906 56.9% - 0s
0 0 1.48850 0 88 0.94889 1.48850 56.9% - 0s
0 0 1.48490 0 92 0.94889 1.48490 56.5% - 0s
0 0 1.48415 0 93 0.94889 1.48415 56.4% - 0s
0 0 1.48112 0 91 0.94889 1.48112 56.1% - 0s
0 0 1.48112 0 91 0.94889 1.48112 56.1% - 0s
0 0 1.47991 0 99 0.94889 1.47991 56.0% - 0s
0 0 1.47943 0 103 0.94889 1.47943 55.9% - 0s
0 0 1.47915 0 104 0.94889 1.47915 55.9% - 0s
0 0 1.47878 0 102 0.94889 1.47878 55.8% - 0s
0 0 1.47801 0 106 0.94889 1.47801 55.8% - 0s
0 0 1.47784 0 99 0.94889 1.47784 55.7% - 0s
0 0 1.47773 0 108 0.94889 1.47773 55.7% - 0s
0 0 1.47766 0 108 0.94889 1.47766 55.7% - 0s
0 0 1.47766 0 94 0.94889 1.47766 55.7% - 0s
0 2 1.47766 0 89 0.94889 1.47766 55.7% - 0s
2199 599 infeasible 46 0.94889 1.25486 32.2% 13.8 5s
H 5663 1212 0.9508865 1.04834 10.2% 10.6 8s
H 5664 1199 0.9518567 1.04834 10.1% 10.6 8s
7009 1177 infeasible 57 0.95186 1.02689 7.88% 10.5 10s
Cutting planes:
Learned: 1
Gomory: 6
Implied bound: 5
MIR: 10
Flow cover: 18
Flow path: 1
Inf proof: 1
Explored 8794 nodes (93260 simplex iterations) in 11.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.951857 0.950887 0.948887
Optimal solution found (tolerance 1.00e-02)
Best objective 9.518566758982e-01, best bound 9.590622173077e-01, gap 0.7570%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa1c_gsk2.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpactldl3a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.92924
Presolve removed 507 rows and 317 columns
Presolve time: 0.04s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.509887e+00, 981 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50989 0 73 0.92924 1.50989 62.5% - 0s
0 0 1.47143 0 81 0.92924 1.47143 58.3% - 0s
0 0 1.47081 0 84 0.92924 1.47081 58.3% - 0s
0 0 1.46104 0 98 0.92924 1.46104 57.2% - 0s
0 0 1.46071 0 92 0.92924 1.46071 57.2% - 0s
0 0 1.46043 0 95 0.92924 1.46043 57.2% - 0s
0 0 1.46014 0 97 0.92924 1.46014 57.1% - 0s
0 0 1.45803 0 102 0.92924 1.45803 56.9% - 0s
0 0 1.45721 0 101 0.92924 1.45721 56.8% - 0s
0 0 1.45710 0 102 0.92924 1.45710 56.8% - 0s
0 0 1.45709 0 102 0.92924 1.45709 56.8% - 0s
0 0 1.45707 0 101 0.92924 1.45707 56.8% - 0s
0 0 1.45707 0 101 0.92924 1.45707 56.8% - 0s
0 0 1.45707 0 89 0.92924 1.45707 56.8% - 0s
0 2 1.45707 0 88 0.92924 1.45707 56.8% - 0s
2582 512 cutoff 88 0.92924 1.19838 29.0% 13.2 5s
H 3207 595 0.9294695 1.16711 25.6% 12.8 5s
6441 723 0.97492 77 49 0.92947 1.01158 8.83% 11.5 10s
Cutting planes:
Learned: 1
Gomory: 2
Implied bound: 10
Clique: 2
MIR: 4
Flow cover: 19
Inf proof: 4
Explored 7708 nodes (86589 simplex iterations) in 11.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.929469 0.92924
Optimal solution found (tolerance 1.00e-02)
Best objective 9.294694938877e-01, best bound 9.294694938877e-01, gap 0.0000%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp08t0k19e.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2z4zu49k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.926834
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.504851e+00, 915 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50485 0 74 0.92683 1.50485 62.4% - 0s
0 0 1.46589 0 83 0.92683 1.46589 58.2% - 0s
0 0 1.46530 0 85 0.92683 1.46530 58.1% - 0s
0 0 1.44316 0 95 0.92683 1.44316 55.7% - 0s
0 0 1.44306 0 93 0.92683 1.44306 55.7% - 0s
0 0 1.44138 0 92 0.92683 1.44138 55.5% - 0s
0 0 1.43900 0 91 0.92683 1.43900 55.3% - 0s
0 0 1.43832 0 99 0.92683 1.43832 55.2% - 0s
0 0 1.43808 0 96 0.92683 1.43808 55.2% - 0s
0 0 1.43808 0 99 0.92683 1.43808 55.2% - 0s
0 0 1.43797 0 99 0.92683 1.43797 55.1% - 0s
0 0 1.43795 0 98 0.92683 1.43795 55.1% - 0s
0 0 1.43795 0 98 0.92683 1.43795 55.1% - 0s
0 0 1.43795 0 88 0.92683 1.43795 55.1% - 0s
0 2 1.43795 0 86 0.92683 1.43795 55.1% - 0s
2406 718 1.16048 47 62 0.92683 1.19660 29.1% 12.4 5s
H 5268 827 0.9273430 1.04208 12.4% 10.8 8s
H 5885 808 0.9273430 1.02293 10.3% 10.6 9s
6212 618 1.00870 49 53 0.92734 1.00943 8.85% 10.6 10s
Cutting planes:
Gomory: 3
Implied bound: 9
Clique: 1
MIR: 6
Flow cover: 14
Flow path: 1
Inf proof: 2
Explored 7762 nodes (81020 simplex iterations) in 11.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.927343 0.927343 0.926834
Optimal solution found (tolerance 1.00e-02)
Best objective 9.273430102920e-01, best bound 9.319945650004e-01, gap 0.5016%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzdp5i9uh.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp71ath3ql.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.914352
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.480604e+00, 1067 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48060 0 78 0.91435 1.48060 61.9% - 0s
0 0 1.44366 0 88 0.91435 1.44366 57.9% - 0s
0 0 1.44308 0 88 0.91435 1.44308 57.8% - 0s
0 0 1.42146 0 95 0.91435 1.42146 55.5% - 0s
0 0 1.42136 0 92 0.91435 1.42136 55.4% - 0s
0 0 1.42081 0 89 0.91435 1.42081 55.4% - 0s
0 0 1.41750 0 95 0.91435 1.41750 55.0% - 0s
0 0 1.41625 0 100 0.91435 1.41625 54.9% - 0s
0 0 1.41619 0 99 0.91435 1.41619 54.9% - 0s
0 0 1.41544 0 98 0.91435 1.41544 54.8% - 0s
0 0 1.41488 0 96 0.91435 1.41488 54.7% - 0s
0 0 1.41486 0 98 0.91435 1.41486 54.7% - 0s
0 0 1.41486 0 99 0.91435 1.41486 54.7% - 0s
0 0 1.41486 0 89 0.91435 1.41486 54.7% - 0s
0 2 1.41486 0 88 0.91435 1.41486 54.7% - 0s
H 2131 622 0.9149505 1.19397 30.5% 13.7 4s
2337 667 1.11440 34 69 0.91495 1.18675 29.7% 13.6 5s
6956 1426 infeasible 67 0.91495 1.02951 12.5% 10.1 10s
11359 1000 cutoff 84 0.91495 0.95950 4.87% 9.2 15s
Cutting planes:
Learned: 1
Gomory: 3
Cover: 1
Implied bound: 10
Clique: 2
MIR: 7
Flow cover: 18
Inf proof: 5
Explored 13661 nodes (121732 simplex iterations) in 17.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.91495 0.914352
Optimal solution found (tolerance 1.00e-02)
Best objective 9.149504628559e-01, best bound 9.208585628541e-01, gap 0.6457%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2p01t0ks.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj6ez98_2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.909661
Presolve removed 546 rows and 341 columns
Presolve time: 0.04s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.473616e+00, 1057 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47362 0 80 0.90966 1.47362 62.0% - 0s
0 0 1.43824 0 88 0.90966 1.43824 58.1% - 0s
0 0 1.43767 0 90 0.90966 1.43767 58.0% - 0s
0 0 1.41714 0 90 0.90966 1.41714 55.8% - 0s
0 0 1.41704 0 85 0.90966 1.41704 55.8% - 0s
0 0 1.41646 0 87 0.90966 1.41646 55.7% - 0s
0 0 1.41554 0 92 0.90966 1.41554 55.6% - 0s
0 0 1.41541 0 93 0.90966 1.41541 55.6% - 0s
0 0 1.41530 0 92 0.90966 1.41530 55.6% - 0s
0 0 1.41403 0 96 0.90966 1.41403 55.4% - 0s
0 0 1.41322 0 95 0.90966 1.41322 55.4% - 0s
0 0 1.41189 0 96 0.90966 1.41189 55.2% - 0s
0 0 1.41131 0 94 0.90966 1.41131 55.1% - 0s
0 0 1.41098 0 98 0.90966 1.41098 55.1% - 0s
0 0 1.40937 0 98 0.90966 1.40937 54.9% - 0s
0 0 1.40859 0 95 0.90966 1.40859 54.8% - 0s
0 0 1.40845 0 101 0.90966 1.40845 54.8% - 0s
0 0 1.40845 0 101 0.90966 1.40845 54.8% - 0s
0 0 1.40845 0 88 0.90966 1.40845 54.8% - 0s
0 2 1.40845 0 87 0.90966 1.40845 54.8% - 0s
819 531 1.19677 18 97 0.90966 1.27660 40.3% 19.2 5s
3888 1625 1.10331 33 82 0.90966 1.15672 27.2% 15.5 10s
7825 1989 0.94765 37 90 0.90966 1.03021 13.3% 14.6 15s
11575 2061 0.93702 37 87 0.90966 0.99635 9.53% 13.9 20s
14569 627 0.93579 61 48 0.90966 0.93754 3.07% 13.8 25s
Cutting planes:
Gomory: 22
Cover: 1
Implied bound: 50
Projected implied bound: 51
Clique: 2
MIR: 20
Flow cover: 74
Inf proof: 153
Explored 15615 nodes (214779 simplex iterations) in 26.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.909661
Optimal solution found (tolerance 1.00e-02)
Best objective 9.096606662529e-01, best bound 9.180485517279e-01, gap 0.9221%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuuphbdla.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpry51fcey.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887915
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.435156e+00, 1044 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43516 0 80 0.88792 1.43516 61.6% - 0s
0 0 1.40143 0 87 0.88792 1.40143 57.8% - 0s
0 0 1.40087 0 89 0.88792 1.40087 57.8% - 0s
0 0 1.38782 0 101 0.88792 1.38782 56.3% - 0s
0 0 1.38740 0 106 0.88792 1.38740 56.3% - 0s
0 0 1.38617 0 110 0.88792 1.38617 56.1% - 0s
0 0 1.38518 0 112 0.88792 1.38518 56.0% - 0s
0 0 1.38358 0 115 0.88792 1.38358 55.8% - 0s
0 0 1.38353 0 114 0.88792 1.38353 55.8% - 0s
0 0 1.38256 0 122 0.88792 1.38256 55.7% - 0s
0 0 1.38147 0 122 0.88792 1.38147 55.6% - 0s
0 0 1.38147 0 122 0.88792 1.38147 55.6% - 0s
0 0 1.38147 0 96 0.88792 1.38147 55.6% - 0s
0 0 1.38147 0 94 0.88792 1.38147 55.6% - 0s
0 0 1.38147 0 94 0.88792 1.38147 55.6% - 0s
0 2 1.38147 0 94 0.88792 1.38147 55.6% - 0s
1519 668 0.94394 57 83 0.88792 1.23059 38.6% 15.6 5s
5343 1271 infeasible 67 0.88792 1.07385 20.9% 13.8 10s
10509 1424 infeasible 59 0.88792 0.96940 9.18% 11.2 15s
13708 427 cutoff 67 0.88792 0.91758 3.34% 11.0 20s
Cutting planes:
Learned: 1
Gomory: 7
Implied bound: 11
Clique: 1
MIR: 10
Flow cover: 14
Flow path: 2
Explored 14440 nodes (158355 simplex iterations) in 20.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.887915
Optimal solution found (tolerance 1.00e-02)
Best objective 8.879151528428e-01, best bound 8.890487836905e-01, gap 0.1277%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_o3az8mp.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkphn9ng5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870969
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.424606e+00, 1106 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42461 0 84 0.87097 1.42461 63.6% - 0s
0 0 1.39317 0 101 0.87097 1.39317 60.0% - 0s
0 0 1.39263 0 100 0.87097 1.39263 59.9% - 0s
0 0 1.36359 0 97 0.87097 1.36359 56.6% - 0s
0 0 1.36350 0 96 0.87097 1.36350 56.5% - 0s
0 0 1.36068 0 103 0.87097 1.36068 56.2% - 0s
0 0 1.36043 0 105 0.87097 1.36043 56.2% - 0s
0 0 1.35995 0 108 0.87097 1.35995 56.1% - 0s
0 0 1.35970 0 108 0.87097 1.35970 56.1% - 0s
0 0 1.35967 0 110 0.87097 1.35967 56.1% - 0s
0 0 1.35967 0 108 0.87097 1.35967 56.1% - 0s
0 0 1.35959 0 108 0.87097 1.35959 56.1% - 0s
0 0 1.35958 0 108 0.87097 1.35958 56.1% - 0s
0 0 1.35958 0 108 0.87097 1.35958 56.1% - 0s
0 0 1.35958 0 89 0.87097 1.35958 56.1% - 0s
0 2 1.35958 0 87 0.87097 1.35958 56.1% - 0s
805 494 1.16345 22 131 0.87097 1.25647 44.3% 21.2 5s
H 2813 856 0.8711766 1.10504 26.8% 17.0 8s
3698 1061 1.05203 65 90 0.87118 1.08291 24.3% 16.5 10s
8080 1842 infeasible 57 0.87118 1.00230 15.1% 14.2 15s
11712 2325 0.89036 80 53 0.87118 0.96667 11.0% 13.6 20s
15116 1612 0.88670 89 39 0.87118 0.91613 5.16% 13.1 25s
18560 880 cutoff 94 0.87118 0.89366 2.58% 12.5 30s
Cutting planes:
Learned: 2
Gomory: 38
Cover: 4
Implied bound: 46
Projected implied bound: 39
Clique: 5
MIR: 16
StrongCG: 1
Flow cover: 86
Flow path: 2
Inf proof: 237
Explored 19792 nodes (248092 simplex iterations) in 32.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.871177 0.870969
Optimal solution found (tolerance 1.00e-02)
Best objective 8.711765648473e-01, best bound 8.785698130519e-01, gap 0.8487%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9bfzg2zj.pyomo.lp
Reading time = 0.02 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpix0g18pz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853635
Presolve removed 585 rows and 365 columns
Presolve time: 0.05s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.388930e+00, 1109 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38893 0 82 0.85364 1.38893 62.7% - 0s
0 0 1.35847 0 97 0.85364 1.35847 59.1% - 0s
0 0 1.35794 0 97 0.85364 1.35794 59.1% - 0s
0 0 1.34863 0 109 0.85364 1.34863 58.0% - 0s
0 0 1.34627 0 102 0.85364 1.34627 57.7% - 0s
0 0 1.34569 0 103 0.85364 1.34569 57.6% - 0s
0 0 1.34309 0 102 0.85364 1.34309 57.3% - 0s
0 0 1.34296 0 104 0.85364 1.34296 57.3% - 0s
0 0 1.34295 0 105 0.85364 1.34295 57.3% - 0s
0 0 1.34295 0 105 0.85364 1.34295 57.3% - 0s
0 0 1.34295 0 107 0.85364 1.34295 57.3% - 0s
0 0 1.34295 0 108 0.85364 1.34295 57.3% - 0s
0 0 1.34295 0 108 0.85364 1.34295 57.3% - 0s
0 2 1.34295 0 108 0.85364 1.34295 57.3% - 0s
2128 612 1.04491 40 76 0.85364 1.15448 35.2% 14.6 5s
6653 1599 infeasible 66 0.85364 1.00107 17.3% 11.5 10s
11004 1634 infeasible 68 0.85364 0.94260 10.4% 10.2 15s
14319 900 infeasible 55 0.85364 0.90293 5.78% 10.5 20s
Cutting planes:
Learned: 1
Gomory: 5
Implied bound: 12
Clique: 2
MIR: 8
Flow cover: 22
Flow path: 2
Inf proof: 8
Explored 16505 nodes (170510 simplex iterations) in 22.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.853635
Optimal solution found (tolerance 1.00e-02)
Best objective 8.536352424754e-01, best bound 8.583142510861e-01, gap 0.5481%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp48_dp_ud.pyomo.lp
Reading time = 0.02 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_7zychd9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.850619
Presolve removed 598 rows and 373 columns
Presolve time: 0.05s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.393288e+00, 1003 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39329 0 87 0.85062 1.39329 63.8% - 0s
0 0 1.36265 0 101 0.85062 1.36265 60.2% - 0s
0 0 1.36206 0 101 0.85062 1.36206 60.1% - 0s
0 0 1.34669 0 117 0.85062 1.34669 58.3% - 0s
0 0 1.34638 0 110 0.85062 1.34638 58.3% - 0s
0 0 1.34577 0 110 0.85062 1.34577 58.2% - 0s
0 0 1.34223 0 108 0.85062 1.34223 57.8% - 0s
0 0 1.34163 0 113 0.85062 1.34163 57.7% - 0s
0 0 1.34075 0 112 0.85062 1.34075 57.6% - 0s
0 0 1.34020 0 114 0.85062 1.34020 57.6% - 0s
0 0 1.34020 0 118 0.85062 1.34020 57.6% - 0s
0 0 1.34020 0 125 0.85062 1.34020 57.6% - 0s
0 0 1.34019 0 120 0.85062 1.34019 57.6% - 0s
0 0 1.34019 0 120 0.85062 1.34019 57.6% - 0s
0 0 1.34019 0 103 0.85062 1.34019 57.6% - 0s
0 2 1.34019 0 101 0.85062 1.34019 57.6% - 0s
2077 892 infeasible 75 0.85062 1.18415 39.2% 11.7 5s
6543 2247 0.98708 63 61 0.85062 1.10545 30.0% 10.8 10s
H 6875 2410 0.8506190 1.10104 29.4% 10.7 10s
10260 2699 cutoff 72 0.85062 1.03948 22.2% 10.4 15s
14613 2354 infeasible 48 0.85062 0.95310 12.0% 10.2 20s
H15216 2396 0.8506190 0.94784 11.4% 10.1 21s
17162 1787 infeasible 79 0.85062 0.91934 8.08% 10.1 25s
20665 396 infeasible 75 0.85062 0.86901 2.16% 9.7 30s
Cutting planes:
Gomory: 4
Implied bound: 14
Clique: 2
MIR: 10
Flow cover: 21
Flow path: 1
Inf proof: 4
Explored 21414 nodes (209286 simplex iterations) in 30.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.850619 0.850619 0.850619
Optimal solution found (tolerance 1.00e-02)
Best objective 8.506189969930e-01, best bound 8.542422953089e-01, gap 0.4260%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn39m35mj.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprjhtad64.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844812
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.373776e+00, 1317 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37378 0 88 0.84481 1.37378 62.6% - 0s
0 0 1.33960 0 109 0.84481 1.33960 58.6% - 0s
0 0 1.33905 0 109 0.84481 1.33905 58.5% - 0s
0 0 1.32404 0 124 0.84481 1.32404 56.7% - 0s
0 0 1.32404 0 123 0.84481 1.32404 56.7% - 0s
0 0 1.32398 0 132 0.84481 1.32398 56.7% - 0s
0 0 1.32311 0 131 0.84481 1.32311 56.6% - 0s
0 0 1.32308 0 133 0.84481 1.32308 56.6% - 0s
0 0 1.32307 0 136 0.84481 1.32307 56.6% - 0s
0 0 1.32307 0 137 0.84481 1.32307 56.6% - 0s
0 0 1.32307 0 137 0.84481 1.32307 56.6% - 0s
0 0 1.32307 0 107 0.84481 1.32307 56.6% - 0s
0 2 1.32307 0 104 0.84481 1.32307 56.6% - 0s
1520 688 0.91126 167 25 0.84481 1.18892 40.7% 14.2 5s
* 1641 673 202 0.8457894 1.18892 40.6% 13.7 5s
5981 1712 0.86799 69 65 0.84579 1.07205 26.8% 10.3 10s
12925 3315 infeasible 39 0.84579 0.97977 15.8% 8.4 15s
17898 3809 infeasible 100 0.84579 0.95711 13.2% 8.3 20s
20802 4170 0.91690 94 107 0.84579 0.94861 12.2% 8.2 33s
20813 4177 0.94034 66 197 0.84579 0.94861 12.2% 8.2 35s
20832 4190 0.87653 55 185 0.84579 0.94861 12.2% 8.1 40s
20852 4203 0.86455 112 211 0.84579 0.94861 12.2% 8.1 45s
20860 4207 0.94861 23 179 0.84579 0.94861 12.2% 8.3 51s
21273 4287 0.86736 60 80 0.84579 0.94861 12.2% 8.8 55s
22685 4284 0.94861 35 129 0.84579 0.94861 12.2% 9.8 60s
H23747 4118 0.8457894 0.94861 12.2% 10.1 63s
24084 4035 0.92824 55 84 0.84579 0.94861 12.2% 10.2 65s
27210 3990 cutoff 65 0.84579 0.94431 11.6% 10.3 70s
30576 3585 cutoff 58 0.84579 0.92564 9.44% 10.5 75s
33869 3313 infeasible 61 0.84579 0.91275 7.92% 10.7 80s
36488 3505 0.86054 67 69 0.84579 0.90404 6.89% 10.9 85s
H38738 3465 0.8463867 0.89622 5.89% 11.1 89s
38779 3459 infeasible 70 0.84639 0.89572 5.83% 11.1 91s
H38819 3386 0.8473067 0.89544 5.68% 11.1 91s
H38821 3386 0.8473067 0.89544 5.68% 11.1 91s
40351 3090 infeasible 77 0.84731 0.88820 4.83% 11.3 95s
42508 2676 0.87997 77 62 0.84731 0.88037 3.90% 11.4 100s
44836 1860 infeasible 76 0.84731 0.86961 2.63% 11.6 105s
Cutting planes:
Learned: 5
Gomory: 123
Cover: 2
Implied bound: 42
Projected implied bound: 34
MIR: 39
StrongCG: 1
Flow cover: 95
Inf proof: 3
Explored 47657 nodes (551854 simplex iterations) in 109.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.847307 0.847307 0.846387 ... 0.844812
Optimal solution found (tolerance 1.00e-02)
Best objective 8.473067034091e-01, best bound 8.554026881807e-01, gap 0.9555%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgqm0c0qp.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp70wtfcuz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.828512
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.341660e+00, 1065 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34166 0 92 0.82851 1.34166 61.9% - 0s
0 0 1.31532 0 107 0.82851 1.31532 58.8% - 0s
0 0 1.31445 0 105 0.82851 1.31445 58.7% - 0s
0 0 1.29734 0 112 0.82851 1.29734 56.6% - 0s
0 0 1.29726 0 112 0.82851 1.29726 56.6% - 0s
0 0 1.29586 0 113 0.82851 1.29586 56.4% - 0s
0 0 1.29324 0 120 0.82851 1.29324 56.1% - 0s
0 0 1.29273 0 126 0.82851 1.29273 56.0% - 0s
0 0 1.29271 0 123 0.82851 1.29271 56.0% - 0s
0 0 1.29182 0 133 0.82851 1.29182 55.9% - 0s
0 0 1.29174 0 132 0.82851 1.29174 55.9% - 0s
0 0 1.29172 0 135 0.82851 1.29172 55.9% - 0s
0 0 1.29171 0 136 0.82851 1.29171 55.9% - 0s
0 0 1.29074 0 135 0.82851 1.29074 55.8% - 0s
0 0 1.29056 0 132 0.82851 1.29056 55.8% - 0s
0 0 1.28995 0 140 0.82851 1.28995 55.7% - 0s
0 0 1.28920 0 140 0.82851 1.28920 55.6% - 0s
0 0 1.28877 0 140 0.82851 1.28877 55.6% - 0s
0 0 1.28877 0 140 0.82851 1.28877 55.6% - 0s
0 0 1.28877 0 140 0.82851 1.28877 55.6% - 0s
0 0 1.28877 0 122 0.82851 1.28877 55.6% - 0s
0 2 1.28877 0 116 0.82851 1.28877 55.6% - 0s
1121 506 1.13212 33 107 0.82851 1.17191 41.4% 17.3 5s
4628 1755 1.03256 40 109 0.82851 1.10169 33.0% 12.0 10s
8505 2511 0.99675 48 96 0.82851 1.00302 21.1% 10.7 15s
13612 3498 0.85901 65 80 0.82851 0.94498 14.1% 10.0 20s
17344 2881 infeasible 85 0.82851 0.90302 8.99% 10.1 25s
20852 1906 infeasible 46 0.82851 0.87491 5.60% 10.2 30s
24608 384 0.84180 78 49 0.82851 0.84195 1.62% 10.0 35s
Cutting planes:
Gomory: 3
Implied bound: 15
MIR: 8
Flow cover: 34
Inf proof: 7
Explored 25164 nodes (252573 simplex iterations) in 35.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.828512
Optimal solution found (tolerance 1.00e-02)
Best objective 8.285119785542e-01, best bound 8.363152267067e-01, gap 0.9418%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpon8eomx6.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0vzojtzj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.815226
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.318020e+00, 1135 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31802 0 95 0.81523 1.31802 61.7% - 0s
0 0 1.29149 0 110 0.81523 1.29149 58.4% - 0s
0 0 1.29055 0 114 0.81523 1.29055 58.3% - 0s
0 0 1.27587 0 127 0.81523 1.27587 56.5% - 0s
0 0 1.27544 0 119 0.81523 1.27544 56.5% - 0s
0 0 1.27499 0 124 0.81523 1.27499 56.4% - 0s
0 0 1.27223 0 131 0.81523 1.27223 56.1% - 0s
0 0 1.27157 0 135 0.81523 1.27157 56.0% - 0s
0 0 1.27040 0 134 0.81523 1.27040 55.8% - 0s
0 0 1.26990 0 140 0.81523 1.26990 55.8% - 0s
0 0 1.26990 0 136 0.81523 1.26990 55.8% - 0s
0 0 1.26990 0 135 0.81523 1.26990 55.8% - 0s
0 0 1.26989 0 136 0.81523 1.26989 55.8% - 0s
0 0 1.26989 0 113 0.81523 1.26989 55.8% - 0s
0 2 1.26989 0 110 0.81523 1.26989 55.8% - 0s
1258 587 1.05381 64 89 0.81523 1.13287 39.0% 17.2 5s
H 3351 1036 0.8152263 1.04210 27.8% 12.3 8s
4969 1573 0.93753 59 80 0.81523 1.01470 24.5% 11.1 10s
9574 2743 infeasible 79 0.81523 0.94021 15.3% 9.3 15s
14497 3133 0.83119 74 58 0.81523 0.90539 11.1% 9.3 20s
17786 3105 cutoff 96 0.81523 0.88008 7.95% 9.4 25s
21510 2490 0.85455 96 49 0.81523 0.85460 4.83% 9.4 30s
24741 1382 infeasible 95 0.81523 0.83580 2.52% 9.5 35s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 15
Clique: 2
MIR: 5
Flow cover: 28
Inf proof: 5
Explored 26802 nodes (253936 simplex iterations) in 38.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.815226 0.815226
Optimal solution found (tolerance 1.00e-02)
Best objective 8.152262559646e-01, best bound 8.226752317065e-01, gap 0.9137%
Run 6
Seed for training 481
Seed for simulation 457
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.13015259e+02, 1.76625724e+02, 1.17750483e+02],
[ 2.28463782e-01, 3.96506464e+00, 0.00000000e+00]])
fopt: 0.6741157086199375
fun: -0.6728558674709347
message: 'Optimization terminated successfully.'
nfev: 861
nit: 11
status: 0
success: True
x: array([ 81.99775871, 209.00000009, 124.07404317])
xopt: array([ 81., 210., 125.])
zopt: array([ 81., 291., 416.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3cfiebru.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbthbd5pp.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.674116
Presolve removed 650 rows and 405 columns
Presolve time: 0.02s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.294330e+00, 1059 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29433 0 100 0.67412 1.29433 92.0% - 0s
0 0 1.26737 0 125 0.67412 1.26737 88.0% - 0s
0 0 1.26673 0 126 0.67412 1.26673 87.9% - 0s
0 0 1.22385 0 143 0.67412 1.22385 81.5% - 0s
0 0 1.22377 0 147 0.67412 1.22377 81.5% - 0s
0 0 1.22195 0 152 0.67412 1.22195 81.3% - 0s
0 0 1.22016 0 149 0.67412 1.22016 81.0% - 0s
0 0 1.21859 0 153 0.67412 1.21859 80.8% - 0s
0 0 1.21859 0 153 0.67412 1.21859 80.8% - 0s
0 0 1.21649 0 160 0.67412 1.21649 80.5% - 0s
0 0 1.21649 0 163 0.67412 1.21649 80.5% - 0s
0 0 1.21645 0 162 0.67412 1.21645 80.5% - 0s
0 0 1.21645 0 162 0.67412 1.21645 80.5% - 0s
0 0 1.21645 0 165 0.67412 1.21645 80.5% - 0s
0 0 1.21645 0 137 0.67412 1.21645 80.5% - 0s
0 2 1.21645 0 137 0.67412 1.21645 80.5% - 0s
866 549 1.06878 19 129 0.67412 1.11880 66.0% 22.8 5s
* 2412 690 163 0.6832515 1.03387 51.3% 21.5 8s
3190 1003 infeasible 26 0.68325 0.98162 43.7% 19.1 10s
* 5481 1895 136 0.7393215 0.93005 25.8% 15.2 13s
6129 1870 infeasible 55 0.73932 0.91382 23.6% 14.9 15s
* 7661 1651 130 0.7573821 0.88701 17.1% 13.3 17s
* 9209 1887 115 0.7581263 0.87562 15.5% 12.5 19s
* 9428 1904 140 0.7602291 0.87523 15.1% 12.4 19s
9857 2129 0.80086 79 88 0.76023 0.87293 14.8% 12.2 20s
H 9941 2150 0.7605154 0.87293 14.8% 12.2 20s
13285 2875 0.84461 54 62 0.76052 0.85590 12.5% 11.4 25s
*16609 3965 131 0.7607666 0.85105 11.9% 10.8 28s
*17672 3962 129 0.7624399 0.84810 11.2% 10.8 29s
17831 3993 infeasible 74 0.76244 0.84647 11.0% 10.8 30s
*17869 3926 154 0.7637170 0.84647 10.8% 10.8 30s
H18215 3826 0.7655930 0.84361 10.2% 10.8 33s
H18218 3827 0.7656317 0.84361 10.2% 10.8 33s
18915 3761 0.78724 38 72 0.76563 0.83846 9.51% 10.9 35s
20902 3582 0.79702 66 92 0.76563 0.82589 7.87% 11.2 40s
23559 3568 0.79261 51 137 0.76563 0.81404 6.32% 11.4 58s
23567 3573 0.77586 85 182 0.76563 0.81404 6.32% 11.4 61s
23575 3579 0.78445 86 203 0.76563 0.81404 6.32% 11.4 65s
H23577 3400 0.7656317 0.81404 6.32% 11.4 68s
23581 3403 0.76702 99 214 0.76563 0.81404 6.32% 11.4 71s
23586 3406 0.80189 79 202 0.76563 0.81404 6.32% 11.4 76s
23590 3409 0.80427 44 226 0.76563 0.81404 6.32% 11.4 81s
23594 3411 0.78121 86 221 0.76563 0.81404 6.32% 11.4 85s
23598 3414 0.81119 98 221 0.76563 0.81404 6.32% 11.4 90s
23605 3419 0.76867 83 217 0.76563 0.81404 6.32% 11.4 95s
23611 3423 0.79154 81 218 0.76563 0.81404 6.32% 11.4 100s
23616 3426 0.77585 83 223 0.76563 0.81404 6.32% 11.4 105s
23623 3431 0.80189 78 211 0.76563 0.81404 6.32% 11.4 110s
23630 3435 0.77291 67 216 0.76563 0.81404 6.32% 11.4 115s
23636 3439 0.80419 80 226 0.76563 0.81404 6.32% 11.4 121s
23640 3442 0.77420 63 222 0.76563 0.81404 6.32% 11.4 126s
23646 3446 0.80724 94 232 0.76563 0.81404 6.32% 11.4 130s
23650 3449 0.76600 120 229 0.76563 0.81404 6.32% 11.4 135s
23655 3452 0.76743 96 221 0.76563 0.81404 6.32% 11.4 141s
23659 3455 0.79261 51 218 0.76563 0.81404 6.32% 11.4 145s
23664 3458 0.78505 62 223 0.76563 0.81404 6.32% 11.4 150s
23668 3461 0.77606 89 223 0.76563 0.81404 6.32% 11.4 155s
23672 3463 0.78022 94 226 0.76563 0.81404 6.32% 11.4 160s
23676 3466 0.77550 76 225 0.76563 0.81404 6.32% 11.4 165s
23681 3469 0.76702 99 223 0.76563 0.81404 6.32% 11.4 170s
H23681 3294 0.7657228 0.81404 6.31% 11.4 172s
23684 3296 0.79420 79 236 0.76572 0.81404 6.31% 11.4 175s
23689 3300 0.79804 80 230 0.76572 0.81404 6.31% 11.3 180s
H23691 3133 0.7657228 0.81404 6.31% 11.3 184s
23693 3134 0.78014 73 237 0.76572 0.81404 6.31% 11.3 185s
23698 3138 0.81119 98 222 0.76572 0.81404 6.31% 11.3 190s
23703 3141 0.78342 62 220 0.76572 0.81404 6.31% 11.3 195s
23710 3146 0.78425 76 239 0.76572 0.81404 6.31% 11.3 200s
23716 3150 0.77585 83 229 0.76572 0.81404 6.31% 11.3 205s
23722 3154 0.81177 93 234 0.76572 0.81404 6.31% 11.3 211s
23728 3158 0.79555 54 237 0.76572 0.81404 6.31% 11.3 215s
23733 3161 0.78909 79 245 0.76572 0.81404 6.31% 11.3 220s
23738 3164 0.80317 77 229 0.76572 0.81404 6.31% 11.3 226s
23741 3166 0.77454 108 235 0.76572 0.81404 6.31% 11.3 230s
23748 3171 0.80647 68 227 0.76572 0.81404 6.31% 11.3 235s
23753 3174 0.80553 50 232 0.76572 0.81404 6.31% 11.3 240s
23757 3177 0.79371 79 230 0.76572 0.81404 6.31% 11.3 245s
23762 3180 0.78778 49 231 0.76572 0.81404 6.31% 11.3 251s
23766 3183 0.79675 90 234 0.76572 0.81404 6.31% 11.3 255s
23771 3186 0.78167 45 236 0.76572 0.81404 6.31% 11.3 260s
23776 3190 0.77550 76 230 0.76572 0.81404 6.31% 11.3 265s
23778 3193 0.81404 20 228 0.76572 0.81404 6.31% 13.2 271s
23780 3191 0.81404 21 212 0.76572 0.81404 6.31% 13.2 276s
23804 3191 0.81404 29 205 0.76572 0.81404 6.31% 13.3 280s
24197 3211 0.81404 38 184 0.76572 0.81404 6.31% 13.9 285s
24965 3245 0.78453 47 136 0.76572 0.81404 6.31% 14.6 290s
26039 3233 0.81404 52 142 0.76572 0.81404 6.31% 15.3 295s
27015 3236 0.80296 54 93 0.76572 0.81404 6.31% 15.8 300s
27980 3222 infeasible 53 0.76572 0.81404 6.31% 16.3 305s
29214 3189 0.76610 91 59 0.76572 0.81404 6.31% 16.8 310s
29779 3140 0.80127 54 117 0.76572 0.81404 6.31% 17.1 315s
30911 2985 0.79852 55 78 0.76572 0.81261 6.12% 17.6 320s
32509 2816 cutoff 57 0.76572 0.80733 5.43% 18.2 326s
33754 2699 0.77542 63 75 0.76572 0.80450 5.06% 18.7 331s
35076 2769 infeasible 61 0.76572 0.80115 4.63% 19.1 335s
36170 2789 0.77007 65 51 0.76572 0.79841 4.27% 19.4 340s
H36693 2893 0.7657228 0.79723 4.11% 19.5 343s
36695 2802 0.78650 64 58 0.76572 0.79721 4.11% 19.5 345s
37799 2741 infeasible 67 0.76572 0.79414 3.71% 19.7 350s
39128 2651 infeasible 44 0.76572 0.79107 3.31% 20.0 355s
40361 2491 cutoff 70 0.76572 0.78787 2.89% 20.2 360s
41733 2369 0.78417 68 67 0.76572 0.78553 2.59% 20.3 365s
43187 2126 infeasible 78 0.76572 0.78279 2.23% 20.4 370s
44724 1858 infeasible 59 0.76572 0.77999 1.86% 20.4 375s
46468 1401 0.77125 62 62 0.76572 0.77645 1.40% 20.4 380s
48518 702 cutoff 61 0.76572 0.77123 0.72% 20.3 385s
Cutting planes:
Learned: 2
Gomory: 153
Cover: 18
Implied bound: 34
Projected implied bound: 41
Clique: 16
MIR: 172
StrongCG: 3
Flow cover: 533
Flow path: 2
Inf proof: 218
Zero half: 1
Explored 49908 nodes (1004691 simplex iterations) in 388.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.765723 0.765723 0.765723 ... 0.760515
Optimal solution found (tolerance 0.00e+00)
Best objective 7.657227736830e-01, best bound 7.657227747155e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpygpi90x9.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgsgb_ibo.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 574 rows and 428 columns
Presolve time: 0.00s
Presolved: 372 rows, 383 columns, 1596 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.5258701e+02 6.850708e+03 0.000000e+00 0s
265 1.4594575e+01 0.000000e+00 0.000000e+00 0s
Solved in 265 iterations and 0.01 seconds
Optimal objective 1.459457521e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.09826441, 0.01393968, 0.01393968]])
fopt: 1.549465605952744
fun: -1.5572122496871588
message: 'Optimization terminated successfully.'
nfev: 145
nit: 2
status: 0
success: True
x: array([15.00000217, -0.99991384, -0.99991384])
xopt: array([15., 0., 0.])
zopt: array([15., 15., 15.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.02555581, 0.00146342, 0.00170213]])
fopt: 1.1056405514476553
fun: -1.1177896085630536
message: 'Optimization terminated successfully.'
nfev: 335
nit: 5
status: 0
success: True
x: array([29.16324482, -0.99086847, -0.99824492])
xopt: array([29., 0., 0.])
zopt: array([29., 29., 29.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.05747774, 0.0911893 , -0.00221626]])
fopt: 1.4525609187139668
fun: -1.4653481632507843
message: 'Optimization terminated successfully.'
nfev: 399
nit: 6
status: 0
success: True
x: array([ 52.03718489, -86.99974872, -0.99999163])
xopt: array([52., 0., 0.])
zopt: array([52., 52., 52.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.20221345e-03, 7.64208055e-05, -0.00000000e+00]])
fopt: 1.4840217228174644
fun: -1.4825078630102357
message: 'Optimization terminated successfully.'
nfev: 253
nit: 2
status: 0
success: True
x: array([75.90417486, -0.7883747 , 1. ])
xopt: array([75., 0., 1.])
zopt: array([75., 75., 76.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.39485093e-01, -5.70026578e-03, -4.39833758e-05]])
fopt: 1.1799865387595254
fun: -1.1855174637387575
message: 'Optimization terminated successfully.'
nfev: 303
nit: 4
status: 0
success: True
x: array([75.10558762, 6.00017259, 1.00000722])
xopt: array([75., 7., 1.])
zopt: array([75., 82., 83.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.29957119e-04, -2.86288817e-08, 4.20998827e-06]])
fopt: 0.9316173290643259
fun: -0.9379727549087061
message: 'Optimization terminated successfully.'
nfev: 262
nit: 3
status: 0
success: True
x: array([131.28145991, 1.01774413, -3.5413197 ])
xopt: array([131., 1., 0.])
zopt: array([131., 132., 132.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.57289381e-06, -2.74521915e-10, 3.01631571e-08]])
fopt: 0.9031065137379114
fun: -0.9037930634343828
message: 'Optimization terminated successfully.'
nfev: 282
nit: 3
status: 0
success: True
x: array([ 1.55592275e+02, 1.00001416e+00, -1.00966465e-02])
xopt: array([155., 1., 0.])
zopt: array([155., 156., 156.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.05030932e-06, -9.61951450e-01]])
fopt: 0.9319587408522166
fun: -0.933907126072505
message: 'Optimization terminated successfully.'
nfev: 280
nit: 3
status: 0
success: True
x: array([174.60540136, 2.08017139, -2.9658609 ])
xopt: array([174., 2., 0.])
zopt: array([174., 176., 176.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1478
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.20709885, 0.0010109 , -0.00200872]])
fopt: 0.7805832504257192
fun: -0.7855968119414851
message: 'Optimization terminated successfully.'
nfev: 307
nit: 3
status: 0
success: True
x: array([206.07341758, 2.0010104 , -0.98953545])
xopt: array([206., 2., 0.])
zopt: array([206., 208., 208.])
*******************************************
Period: 11
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.75948979e-07, -1.98426960e-13, -1.48177460e-13]])
fopt: 0.7597192663483258
fun: -0.7611461492644224
message: 'Optimization terminated successfully.'
nfev: 244
nit: 2
status: 0
success: True
x: array([228.25474182, 1.00016341, 1.00008064])
xopt: array([228., 1., 1.])
zopt: array([228., 229., 230.])
*******************************************
Period: 12
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 8.03567068]])
fopt: 0.6965387873044349
fun: -0.757986985821539
message: 'Optimization terminated successfully.'
nfev: 496
nit: 7
status: 0
success: True
x: array([227.03445065, -12.02598862, 28.3240422 ])
xopt: array([227., 0., 28.])
zopt: array([227., 227., 255.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -1.13943941, 33.0674076 ]])
fopt: 0.7683317669130446
fun: -0.7729912942916409
message: 'Optimization terminated successfully.'
nfev: 416
nit: 6
status: 0
success: True
x: array([227.91750116, -1.92052471, 40.56766893])
xopt: array([227., 0., 40.])
zopt: array([227., 227., 267.])
*******************************************
Period: 14
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.80273202e-03, -1.25735634e-04, -6.90065917e-06]])
fopt: 0.5353992097707008
fun: -0.5346731721962764
message: 'Optimization terminated successfully.'
nfev: 683
nit: 7
status: 0
success: True
x: array([281.9980692 , 3.0048226 , 2.02948878])
xopt: array([281., 3., 3.])
zopt: array([281., 284., 287.])
*******************************************
Period: 15
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4773452362732322
fun: -0.47515828441708274
message: 'Optimization terminated successfully.'
nfev: 363
nit: 4
status: 0
success: True
x: array([302.98523597, 2.07558535, 2.00031677])
xopt: array([302., 2., 3.])
zopt: array([302., 304., 307.])
*******************************************
Period: 16
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.05536010e-02, 6.26739083e-04, -4.53535624e-04]])
fopt: 0.4140570162627395
fun: -0.41195417927922856
message: 'Optimization terminated successfully.'
nfev: 333
nit: 4
status: 0
success: True
x: array([321.85422645, 2.00127173, 2.12707647])
xopt: array([321., 2., 3.])
zopt: array([321., 323., 326.])
*******************************************
Period: 17
direc: array([[-1.11083814e+01, 2.25574503e+00, 4.86199594e+00],
[-4.30318247e+01, 2.89515398e+01, 5.45697208e+01],
[ 6.44967718e-04, 1.23647677e+00, -7.98594488e-04]])
fopt: 1.1541029121635553
fun: -1.1535980413091251
message: 'Optimization terminated successfully.'
nfev: 641
nit: 10
status: 0
success: True
x: array([ 79.02371046, 110.00000432, 203.1584049 ])
xopt: array([ 79., 110., 203.])
zopt: array([ 79., 189., 392.])
*******************************************
Period: 18
direc: array([[-4.90119962e+00, 1.06854911e+01, 7.03260106e+00],
[-2.49494344e+02, 2.41133594e+02, -4.12041003e-02],
[ 0.00000000e+00, -4.58688415e-02, 0.00000000e+00]])
fopt: 0.9265904166294433
fun: -0.9241601076795296
message: 'Optimization terminated successfully.'
nfev: 1017
nit: 12
status: 0
success: True
x: array([ 74.51095681, 272.00056081, 15.30370953])
xopt: array([ 75., 272., 15.])
zopt: array([ 75., 347., 362.])
*******************************************
Period: 19
direc: array([[-206.48438157, 53.1133616 , 105.98622046],
[ 0. , 1. , 0. ],
[ -0.39994812, 1.96202522, 2.02285654]])
fopt: 1.1577657472624279
fun: -1.1585003023023441
message: 'Optimization terminated successfully.'
nfev: 652
nit: 11
status: 0
success: True
x: array([ 82.14003815, 107.02433639, 197.36803205])
xopt: array([ 82., 107., 197.])
zopt: array([ 82., 189., 386.])
*******************************************
Period: 20
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-176.23699066, 150.68630967, 101.32750723]])
fopt: 1.0625541658757418
fun: -1.060619822620709
message: 'Optimization terminated successfully.'
nfev: 517
nit: 7
status: 0
success: True
x: array([ 75.00022763, 150.00001647, 156.68530256])
xopt: array([ 75., 150., 157.])
zopt: array([ 75., 225., 382.])
*******************************************
Period: 21
direc: array([[-205.20298214, 55.27696134, 108.31118114],
[ -26.27732648, 26.52414675, 47.13825415],
[ 0. , 0. , -0. ]])
fopt: 1.0710672070701366
fun: -1.0669088814142664
message: 'Optimization terminated successfully.'
nfev: 539
nit: 7
status: 0
success: True
x: array([ 75.28803398, 116.00344298, 214.11088045])
xopt: array([ 76., 117., 215.])
zopt: array([ 76., 193., 408.])
*******************************************
Period: 22
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-77.16979192, 4.0691724 , 108.91758643]])
fopt: 0.8402561443696029
fun: -0.8387853882497764
message: 'Optimization terminated successfully.'
nfev: 380
nit: 5
status: 0
success: True
x: array([180.99957676, 11.00804085, 262.94612394])
xopt: array([180., 12., 262.])
zopt: array([180., 192., 454.])
*******************************************
Period: 23
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-254.52768063, 232.56064145, 153.20041747]])
fopt: 0.9773109055286702
fun: -0.9764751962305946
message: 'Optimization terminated successfully.'
nfev: 507
nit: 7
status: 0
success: True
x: array([ 74.9999997 , 172. , 173.29826836])
xopt: array([ 75., 172., 174.])
zopt: array([ 75., 247., 421.])
*******************************************
Period: 24
direc: array([[-10.18754269, 24.14900376, 9.66118316],
[ 42.2379773 , 18.10770189, 0.86780392],
[ -4.71076476, 25.02228393, 8.04354197]])
fopt: 0.9376444646552075
fun: -0.9366443003140758
message: 'Optimization terminated successfully.'
nfev: 804
nit: 11
status: 0
success: True
x: array([ 75.55287374, 185.09275727, 154.00001393])
xopt: array([ 75., 185., 155.])
zopt: array([ 75., 260., 415.])
*******************************************
Period: 25
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-4.03632401e+01, 3.90193423e+01, 2.58455511e+01],
[-1.19090743e-04, -2.22029481e-03, -2.97842678e-06]])
fopt: 0.9695016263259547
fun: -0.966513748839298
message: 'Optimization terminated successfully.'
nfev: 493
nit: 7
status: 0
success: True
x: array([ 78.99987057, 167. , 164.33285307])
xopt: array([ 78., 167., 165.])
zopt: array([ 78., 245., 410.])
*******************************************
Period: 26
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 6.69178550e+00, -3.02736780e+00, -1.16183073e+01],
[-3.16572757e+00, 3.16572796e+00, -1.05871003e-06]])
fopt: 1.0360533477713285
fun: -1.0331786951443709
message: 'Optimization terminated successfully.'
nfev: 848
nit: 15
status: 0
success: True
x: array([ 75.36707786, 107.00000014, 226.3683314 ])
xopt: array([ 75., 108., 227.])
zopt: array([ 75., 183., 410.])
*******************************************
Period: 27
direc: array([[-1.54586374e+02, 2.33845411e+01, 1.87866175e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.42982692e-02, 1.09454627e-01, 1.82475969e+00]])
fopt: 0.8850097109452065
fun: -0.8836954195795383
message: 'Optimization terminated successfully.'
nfev: 486
nit: 6
status: 0
success: True
x: array([162.16173622, 31.45695546, 215.13050834])
xopt: array([162., 31., 216.])
zopt: array([162., 193., 409.])
*******************************************
Period: 28
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.32274241611732685
fun: -0.32358129914773937
message: 'Optimization terminated successfully.'
nfev: 287
nit: 3
status: 0
success: True
x: array([376.99971418, 2.00000913, 2. ])
xopt: array([376., 2., 2.])
zopt: array([376., 378., 380.])
*******************************************
Period: 29
direc: array([[ 0. , 30.03418584, 0. ],
[ 0. , 0. , 0. ],
[-45.37217151, 49.13722778, 35.477167 ]])
fopt: 0.9691152899534557
fun: -0.9686864158762352
message: 'Optimization terminated successfully.'
nfev: 804
nit: 13
status: 0
success: True
x: array([ 78.46974003, 111.02788782, 240.14402592])
xopt: array([ 78., 111., 240.])
zopt: array([ 78., 189., 429.])
*******************************************
Period: 30
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[-0., 0., -0.]])
fopt: 0.35650461819223506
fun: -0.3564148937348622
message: 'Optimization terminated successfully.'
nfev: 550
nit: 7
status: 0
success: True
x: array([370.99720381, 8.02023569, 2.00418158])
xopt: array([370., 8., 3.])
zopt: array([370., 378., 381.])
*******************************************
Period: 31
direc: array([[-299.56144285, 244.26765303, 0. ],
[ -1.22780925, 1. , 0. ],
[ 34.13238358, -27.8321435 , 56.10170904]])
fopt: 0.8159795830914497
fun: -0.8160085916391142
message: 'Optimization terminated successfully.'
nfev: 674
nit: 8
status: 0
success: True
x: array([ 81.10118497, 243.45466209, 69.01453977])
xopt: array([ 81., 243., 69.])
zopt: array([ 81., 324., 393.])
*******************************************
Period: 32
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.86960908e+02, -4.59502981e-03, 1.86534428e+02]])
fopt: 0.8541870512676684
fun: -0.8554312163979392
message: 'Optimization terminated successfully.'
nfev: 588
nit: 6
status: 0
success: True
x: array([189.24931552, 4.03531065, 214.0221794 ])
xopt: array([189., 4., 214.])
zopt: array([189., 193., 407.])
*******************************************
Period: 33
direc: array([[ 0. , 0. , 1. ],
[-0.73576652, 1. , 0. ],
[-0. , 0. , 0. ]])
fopt: 0.3583025923222757
fun: -0.35954504873735654
message: 'Optimization terminated successfully.'
nfev: 515
nit: 5
status: 0
success: True
x: array([375.26738905, 4.00505984, 2.00003563])
xopt: array([375., 4., 2.])
zopt: array([375., 379., 381.])
*******************************************
Period: 34
direc: array([[-1.82290351e+02, -1.57943773e-05, 1.30572313e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.73908197e+00, 2.89251985e+00, 1.87490492e+00]])
fopt: 0.8468269597638701
fun: -0.8465434688026122
message: 'Optimization terminated successfully.'
nfev: 811
nit: 9
status: 0
success: True
x: array([182.8633699 , 11.01481464, 216.50494744])
xopt: array([182., 12., 216.])
zopt: array([182., 194., 410.])
*******************************************
Period: 35
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-9.49096792e-01, 1.00000000e+00, -2.37462749e-05],
[-2.90092067e+02, 2.00188193e+02, 1.00089343e+02]])
fopt: 0.8257949759162807
fun: -0.8246468902339514
message: 'Optimization terminated successfully.'
nfev: 631
nit: 10
status: 0
success: True
x: array([ 79.00030207, 207.00000148, 104.01388474])
xopt: array([ 79., 207., 105.])
zopt: array([ 79., 286., 391.])
*******************************************
Period: 36
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.36670485592984553
fun: -0.3665108244696902
message: 'Optimization terminated successfully.'
nfev: 362
nit: 5
status: 0
success: True
x: array([374.99969013, 4.11061028, 2.09126796])
xopt: array([374., 4., 3.])
zopt: array([374., 378., 381.])
*******************************************
Period: 37
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-9.99999984e-01, 1.00000000e+00, -2.23969891e-07],
[-2.99999995e+00, 2.00000000e+00, 9.99999552e-01]])
fopt: 0.3699773807235004
fun: -0.3702384362315629
message: 'Optimization terminated successfully.'
nfev: 746
nit: 9
status: 0
success: True
x: array([366.00007508, 10.00118624, 4.00000018])
xopt: array([366., 10., 5.])
zopt: array([366., 376., 381.])
*******************************************
Period: 38
direc: array([[-10.76335353, 6.00003865, 4.00000005],
[ -1.79389223, 1. , 0. ],
[ 0.14028996, -0.07820441, 10.05381566]])
fopt: 0.8342342622788691
fun: -0.8342203545971592
message: 'Optimization terminated successfully.'
nfev: 698
nit: 9
status: 0
success: True
x: array([ 80.01697848, 168.00004826, 154. ])
xopt: array([ 80., 168., 154.])
zopt: array([ 80., 248., 402.])
*******************************************
Period: 39
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.361650175596244
fun: -0.36199288230232546
message: 'Optimization terminated successfully.'
nfev: 330
nit: 4
status: 0
success: True
x: array([375.99975016, 4.01036811, 1.00005159])
xopt: array([375., 4., 2.])
zopt: array([375., 379., 381.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ -1.08097021, 1. , 0. ],
[-283.23620504, 177.25896982, 76.02981361]])
fopt: 0.7390101318239826
fun: -0.7377419387585711
message: 'Optimization terminated successfully.'
nfev: 633
nit: 9
status: 0
success: True
x: array([ 79.88236639, 211.01151571, 90.23115918])
xopt: array([ 79., 211., 91.])
zopt: array([ 79., 290., 381.])
*******************************************
Period: 41
direc: array([[ 1. , 0. , 0. ],
[-0.95626647, 1. , 0. ],
[-7.04220806, 4.86674942, 2.26524306]])
fopt: 0.7343918456862142
fun: -0.7312168467346777
message: 'Optimization terminated successfully.'
nfev: 445
nit: 7
status: 0
success: True
x: array([ 75.00069405, 209.00000001, 97.82505055])
xopt: array([ 75., 210., 98.])
zopt: array([ 75., 285., 383.])
*******************************************
Period: 42
direc: array([[ 1. , 0. , 0. ],
[-2.28156896, 1.10935977, 0.81778651],
[-0.97798073, 0.96870493, 0. ]])
fopt: 0.370109814089559
fun: -0.3703727634974916
message: 'Optimization terminated successfully.'
nfev: 770
nit: 10
status: 0
success: True
x: array([363.97731954, 11.01381781, 6.0140455 ])
xopt: array([363., 11., 7.])
zopt: array([363., 374., 381.])
*******************************************
Period: 43
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.24939075e+00, -4.92768669e-04, 3.03233511e+00],
[-8.39496225e+01, -8.80360552e+01, 1.74316934e+02]])
fopt: 0.33179420639136453
fun: -0.6977746058641762
message: 'Optimization terminated successfully.'
nfev: 597
nit: 7
status: 0
success: True
x: array([286.59000585, -92.53767427, 213. ])
xopt: array([286., 0., 213.])
zopt: array([286., 286., 499.])
*******************************************
Period: 44
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.76632585e+02, -6.47502660e-08, 2.64948881e+02]])
fopt: 0.7408746079281301
fun: -0.7404074380064914
message: 'Optimization terminated successfully.'
nfev: 498
nit: 6
status: 0
success: True
x: array([196.5539486 , 2.00000946, 216.00002023])
xopt: array([196., 3., 216.])
zopt: array([196., 199., 415.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdinz0j51.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvbg6cbwf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [5e-02, 5e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.632698
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.54947 0.632698
Optimal solution found (tolerance 1.00e-02)
Best objective 1.549465605953e+00, best bound 1.549465605953e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptm7ayv1m.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6ovz9y5a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.607526
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.105641e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.1056406 1.10564 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.10564 0.607526
Optimal solution found (tolerance 1.00e-02)
Best objective 1.105640551448e+00, best bound 1.105640551448e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdidiuud_.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy_09qosi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.542014
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 1.690156e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69016 0 6 0.54201 1.69016 212% - 0s
H 0 0 1.4525609 1.69016 16.4% - 0s
0 0 1.51172 0 1 1.45256 1.51172 4.07% - 0s
Cutting planes:
Gomory: 3
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.45256 0.542014
Optimal solution found (tolerance 1.00e-02)
Best objective 1.452560918714e+00, best bound 1.452560918714e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjllw25v3.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppfq3w64q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87883
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 1.767153e+00, 23 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76715 0 4 0.87883 1.76715 101% - 0s
H 0 0 1.4846673 1.76715 19.0% - 0s
0 0 cutoff 0 1.48467 1.48467 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow cover: 2
Explored 1 nodes (27 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.48467 0.87883
Optimal solution found (tolerance 1.00e-02)
Best objective 1.484667333487e+00, best bound 1.484667333487e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm2706ywk.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8fgacnig.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17898
Presolve removed 178 rows and 125 columns
Presolve time: 0.00s
Presolved: 59 rows, 50 columns, 210 nonzeros
Variable types: 27 continuous, 23 integer (20 binary)
Root relaxation: objective 1.189042e+00, 31 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18904 0 1 1.17898 1.18904 0.85% - 0s
Explored 1 nodes (33 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.17898
Optimal solution found (tolerance 1.00e-02)
Best objective 1.178977322601e+00, best bound 1.189042244638e+00, gap 0.8537%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwt5zz0r2.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph8t556_x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844003
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 524 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 1.870041e+00, 98 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87004 0 7 0.84400 1.87004 122% - 0s
H 0 0 0.8849684 1.87004 111% - 0s
0 0 1.59584 0 5 0.88497 1.59584 80.3% - 0s
H 0 0 0.9975518 1.59584 60.0% - 0s
0 0 1.56394 0 9 0.99755 1.56394 56.8% - 0s
0 0 1.56196 0 9 0.99755 1.56196 56.6% - 0s
0 0 1.49541 0 6 0.99755 1.49541 49.9% - 0s
0 0 1.49459 0 6 0.99755 1.49459 49.8% - 0s
0 0 1.46249 0 6 0.99755 1.46249 46.6% - 0s
0 0 1.45621 0 6 0.99755 1.45621 46.0% - 0s
0 0 1.45621 0 6 0.99755 1.45621 46.0% - 0s
H 0 0 1.0010437 1.45621 45.5% - 0s
H 0 0 1.0490247 1.45621 38.8% - 0s
0 2 1.45621 0 6 1.04902 1.45621 38.8% - 0s
Cutting planes:
Gomory: 4
Implied bound: 4
Clique: 3
MIR: 2
Flow cover: 6
Explored 10 nodes (192 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.04902 1.00104 0.997552 ... 0.844003
Optimal solution found (tolerance 1.00e-02)
Best objective 1.049024745379e+00, best bound 1.049024745379e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprvf7wvv6.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuno8f2ip.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.800344
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 1.922073e+00, 134 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92207 0 9 0.80034 1.92207 140% - 0s
0 0 1.82569 0 16 0.80034 1.82569 128% - 0s
0 0 1.82553 0 19 0.80034 1.82553 128% - 0s
0 0 1.64343 0 11 0.80034 1.64343 105% - 0s
H 0 0 0.9425608 1.64343 74.4% - 0s
0 0 1.64160 0 10 0.94256 1.64160 74.2% - 0s
0 0 1.64140 0 16 0.94256 1.64140 74.1% - 0s
0 0 1.62909 0 16 0.94256 1.62909 72.8% - 0s
0 0 1.62909 0 16 0.94256 1.62909 72.8% - 0s
0 0 1.62780 0 16 0.94256 1.62780 72.7% - 0s
0 0 1.62780 0 16 0.94256 1.62780 72.7% - 0s
0 2 1.62780 0 14 0.94256 1.62780 72.7% - 0s
H 3 4 0.9598428 1.54541 61.0% 7.7 0s
* 25 5 9 1.0298920 1.36257 32.3% 5.8 0s
* 45 1 8 1.0706864 1.24538 16.3% 5.2 0s
* 50 0 6 1.0791612 1.07916 0.00% 5.1 0s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 6
Clique: 2
MIR: 1
Flow cover: 10
Flow path: 1
Explored 51 nodes (495 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.07916 1.07069 1.02989 ... 0.800344
Optimal solution found (tolerance 1.00e-02)
Best objective 1.079161228638e+00, best bound 1.079161228638e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqd3ajhuu.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp36scb1_b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.818656
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.375458e+00, 146 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.37546 0 15 0.81866 2.37546 190% - 0s
0 0 2.21107 0 19 0.81866 2.21107 170% - 0s
0 0 2.17396 0 19 0.81866 2.17396 166% - 0s
0 0 2.08588 0 25 0.81866 2.08588 155% - 0s
0 0 2.05365 0 26 0.81866 2.05365 151% - 0s
0 0 2.05365 0 26 0.81866 2.05365 151% - 0s
0 0 1.93858 0 25 0.81866 1.93858 137% - 0s
0 0 1.93628 0 25 0.81866 1.93628 137% - 0s
0 0 1.90905 0 22 0.81866 1.90905 133% - 0s
H 0 0 1.0371576 1.90905 84.1% - 0s
0 0 1.90226 0 22 1.03716 1.90226 83.4% - 0s
0 0 1.89887 0 22 1.03716 1.89887 83.1% - 0s
H 0 0 1.0687831 1.89887 77.7% - 0s
0 0 1.89813 0 22 1.06878 1.89813 77.6% - 0s
0 0 1.89752 0 22 1.06878 1.89752 77.5% - 0s
0 0 1.89686 0 22 1.06878 1.89686 77.5% - 0s
0 0 1.89686 0 22 1.06878 1.89686 77.5% - 0s
H 0 0 1.0891511 1.89686 74.2% - 0s
0 2 1.89686 0 22 1.08915 1.89686 74.2% - 0s
* 34 16 12 1.1215888 1.57966 40.8% 5.5 0s
* 54 18 13 1.1500527 1.44626 25.8% 4.7 0s
* 81 3 10 1.1674557 1.34436 15.2% 4.8 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 12
MIR: 2
Flow cover: 11
Inf proof: 2
Explored 98 nodes (809 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.16746 1.15005 1.12159 ... 0.818656
Optimal solution found (tolerance 1.00e-02)
Best objective 1.167455658576e+00, best bound 1.167455658576e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgrg6_l2f.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptc9zfkwz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960351
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.291825e+00, 173 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29182 0 17 0.96035 2.29182 139% - 0s
0 0 2.08685 0 24 0.96035 2.08685 117% - 0s
0 0 2.04414 0 30 0.96035 2.04414 113% - 0s
0 0 1.89941 0 22 0.96035 1.89941 97.8% - 0s
0 0 1.89657 0 23 0.96035 1.89657 97.5% - 0s
0 0 1.89657 0 23 0.96035 1.89657 97.5% - 0s
0 0 1.85526 0 16 0.96035 1.85526 93.2% - 0s
0 0 1.85389 0 16 0.96035 1.85389 93.0% - 0s
0 0 1.83258 0 20 0.96035 1.83258 90.8% - 0s
0 0 1.83052 0 20 0.96035 1.83052 90.6% - 0s
0 0 1.82854 0 20 0.96035 1.82854 90.4% - 0s
0 0 1.82854 0 20 0.96035 1.82854 90.4% - 0s
H 0 0 1.1436073 1.82854 59.9% - 0s
0 2 1.82854 0 20 1.14361 1.82854 59.9% - 0s
* 50 19 14 1.2700027 1.49950 18.1% 5.1 0s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 11
Clique: 1
MIR: 5
Flow cover: 15
Explored 90 nodes (828 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.27 1.14361 0.960351
Optimal solution found (tolerance 1.00e-02)
Best objective 1.270002729088e+00, best bound 1.270002729088e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpibhdu4d7.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpctoh0l6f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09942
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.139329e+00, 214 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13933 0 19 1.09942 2.13933 94.6% - 0s
H 0 0 1.2389358 2.13933 72.7% - 0s
0 0 1.94547 0 30 1.23894 1.94547 57.0% - 0s
0 0 1.90700 0 33 1.23894 1.90700 53.9% - 0s
0 0 1.79398 0 22 1.23894 1.79398 44.8% - 0s
0 0 1.79235 0 22 1.23894 1.79235 44.7% - 0s
0 0 1.79100 0 22 1.23894 1.79100 44.6% - 0s
0 0 1.79034 0 22 1.23894 1.79034 44.5% - 0s
0 0 1.75496 0 17 1.23894 1.75496 41.7% - 0s
0 0 1.75122 0 18 1.23894 1.75122 41.3% - 0s
0 0 1.74088 0 18 1.23894 1.74088 40.5% - 0s
0 0 1.74088 0 18 1.23894 1.74088 40.5% - 0s
0 0 1.74088 0 18 1.23894 1.74088 40.5% - 0s
0 2 1.74088 0 18 1.23894 1.74088 40.5% - 0s
* 58 10 16 1.2419447 1.38579 11.6% 6.9 0s
Cutting planes:
Gomory: 12
Cover: 3
Implied bound: 9
MIR: 6
Flow cover: 15
Flow path: 2
Explored 78 nodes (946 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.24194 1.23894 1.09942
Optimal solution found (tolerance 1.00e-02)
Best objective 1.241944706322e+00, best bound 1.241944706322e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp96okftg7.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp16cq4i1k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07851
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.220219e+00, 239 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22022 0 20 1.07851 2.22022 106% - 0s
0 0 2.01748 0 33 1.07851 2.01748 87.1% - 0s
0 0 1.99154 0 33 1.07851 1.99154 84.7% - 0s
0 0 1.86446 0 22 1.07851 1.86446 72.9% - 0s
0 0 1.86308 0 27 1.07851 1.86308 72.7% - 0s
0 0 1.86025 0 29 1.07851 1.86025 72.5% - 0s
0 0 1.85584 0 31 1.07851 1.85584 72.1% - 0s
0 0 1.85519 0 32 1.07851 1.85519 72.0% - 0s
0 0 1.85462 0 26 1.07851 1.85462 72.0% - 0s
0 0 1.79627 0 28 1.07851 1.79627 66.6% - 0s
0 0 1.79517 0 28 1.07851 1.79517 66.4% - 0s
0 0 1.78356 0 24 1.07851 1.78356 65.4% - 0s
0 0 1.77881 0 23 1.07851 1.77881 64.9% - 0s
0 0 1.77701 0 23 1.07851 1.77701 64.8% - 0s
0 0 1.77605 0 24 1.07851 1.77605 64.7% - 0s
0 0 1.76796 0 24 1.07851 1.76796 63.9% - 0s
0 0 1.76681 0 25 1.07851 1.76681 63.8% - 0s
0 0 1.76651 0 25 1.07851 1.76651 63.8% - 0s
0 0 1.76646 0 25 1.07851 1.76646 63.8% - 0s
0 0 1.76602 0 24 1.07851 1.76602 63.7% - 0s
0 0 1.76602 0 22 1.07851 1.76602 63.7% - 0s
0 2 1.76602 0 22 1.07851 1.76602 63.7% - 0s
* 64 17 21 1.2958189 1.64097 26.6% 6.5 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 12
Clique: 2
MIR: 11
Flow cover: 14
Explored 178 nodes (1508 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.29582 1.07851
Optimal solution found (tolerance 1.00e-02)
Best objective 1.295818851113e+00, best bound 1.295818851113e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq_i_poh4.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpftj7nwdc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16674
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.063178e+00, 255 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06318 0 22 1.16674 2.06318 76.8% - 0s
0 0 1.87097 0 29 1.16674 1.87097 60.4% - 0s
0 0 1.71803 0 26 1.16674 1.71803 47.2% - 0s
0 0 1.71313 0 36 1.16674 1.71313 46.8% - 0s
0 0 1.67056 0 32 1.16674 1.67056 43.2% - 0s
0 0 1.67033 0 32 1.16674 1.67033 43.2% - 0s
0 0 1.65981 0 28 1.16674 1.65981 42.3% - 0s
0 0 1.64905 0 28 1.16674 1.64905 41.3% - 0s
0 0 1.64905 0 28 1.16674 1.64905 41.3% - 0s
0 0 1.64725 0 28 1.16674 1.64725 41.2% - 0s
0 0 1.64651 0 30 1.16674 1.64651 41.1% - 0s
0 0 1.64651 0 29 1.16674 1.64651 41.1% - 0s
0 0 1.64422 0 28 1.16674 1.64422 40.9% - 0s
0 0 1.64401 0 28 1.16674 1.64401 40.9% - 0s
0 0 1.64285 0 29 1.16674 1.64285 40.8% - 0s
0 0 1.64285 0 29 1.16674 1.64285 40.8% - 0s
0 2 1.64285 0 29 1.16674 1.64285 40.8% - 0s
* 155 17 20 1.1982577 1.26688 5.73% 5.2 0s
Cutting planes:
Gomory: 11
Cover: 2
Implied bound: 12
MIR: 6
Flow cover: 15
Explored 195 nodes (1548 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.19826 1.16674
Optimal solution found (tolerance 1.00e-02)
Best objective 1.198257711734e+00, best bound 1.198257711734e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjps6gqb9.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1aws2mhp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07217
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.091483e+00, 304 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09148 0 23 1.07217 2.09148 95.1% - 0s
0 0 1.86378 0 38 1.07217 1.86378 73.8% - 0s
0 0 1.84149 0 38 1.07217 1.84149 71.8% - 0s
0 0 1.84147 0 39 1.07217 1.84147 71.8% - 0s
0 0 1.80152 0 28 1.07217 1.80152 68.0% - 0s
0 0 1.80149 0 28 1.07217 1.80149 68.0% - 0s
0 0 1.79758 0 28 1.07217 1.79758 67.7% - 0s
0 0 1.79745 0 28 1.07217 1.79745 67.6% - 0s
0 0 1.79540 0 28 1.07217 1.79540 67.5% - 0s
0 0 1.79473 0 29 1.07217 1.79473 67.4% - 0s
0 0 1.79473 0 27 1.07217 1.79473 67.4% - 0s
0 2 1.79473 0 27 1.07217 1.79473 67.4% - 0s
* 198 55 32 1.2050568 1.44849 20.2% 6.1 0s
* 200 55 30 1.2125132 1.44849 19.5% 6.1 0s
* 237 59 27 1.2140917 1.43607 18.3% 5.9 0s
* 277 66 27 1.2158352 1.40208 15.3% 5.7 0s
* 392 52 26 1.2205181 1.37213 12.4% 5.4 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 20
Clique: 5
MIR: 5
Flow cover: 18
Flow path: 1
Inf proof: 6
Explored 528 nodes (3260 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.22052 1.21584 1.21409 ... 1.07217
Optimal solution found (tolerance 1.00e-02)
Best objective 1.220518130081e+00, best bound 1.220518130081e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprb45zwee.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpst7ymd3b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07335
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.127558e+00, 354 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12756 0 27 1.07335 2.12756 98.2% - 0s
0 0 1.92485 0 27 1.07335 1.92485 79.3% - 0s
0 0 1.82092 0 29 1.07335 1.82092 69.6% - 0s
0 0 1.81820 0 31 1.07335 1.81820 69.4% - 0s
0 0 1.78175 0 24 1.07335 1.78175 66.0% - 0s
0 0 1.78136 0 26 1.07335 1.78136 66.0% - 0s
0 0 1.77294 0 27 1.07335 1.77294 65.2% - 0s
0 0 1.76922 0 27 1.07335 1.76922 64.8% - 0s
0 0 1.76922 0 27 1.07335 1.76922 64.8% - 0s
0 0 1.76879 0 33 1.07335 1.76879 64.8% - 0s
0 0 1.76684 0 28 1.07335 1.76684 64.6% - 0s
0 0 1.76684 0 28 1.07335 1.76684 64.6% - 0s
0 0 1.76659 0 28 1.07335 1.76659 64.6% - 0s
0 0 1.76650 0 28 1.07335 1.76650 64.6% - 0s
0 0 1.76650 0 25 1.07335 1.76650 64.6% - 0s
0 2 1.76650 0 25 1.07335 1.76650 64.6% - 0s
* 100 61 36 1.1871659 1.55992 31.4% 7.2 0s
* 624 124 31 1.2079912 1.35641 12.3% 5.8 0s
* 628 124 31 1.2085194 1.35641 12.2% 5.8 0s
* 783 104 30 1.2119157 1.33378 10.1% 5.7 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 17
MIR: 3
Flow cover: 21
Flow path: 1
Inf proof: 5
Explored 1052 nodes (6301 simplex iterations) in 0.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.21192 1.20852 1.20799 ... 1.07335
Optimal solution found (tolerance 1.00e-02)
Best objective 1.211915738725e+00, best bound 1.211915738725e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvg2ho73i.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0rbtqrwm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07835
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.113034e+00, 350 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11303 0 32 1.07835 2.11303 96.0% - 0s
0 0 1.90236 0 39 1.07835 1.90236 76.4% - 0s
0 0 1.77183 0 35 1.07835 1.77183 64.3% - 0s
0 0 1.76939 0 35 1.07835 1.76939 64.1% - 0s
0 0 1.76938 0 36 1.07835 1.76938 64.1% - 0s
0 0 1.73513 0 30 1.07835 1.73513 60.9% - 0s
0 0 1.73475 0 32 1.07835 1.73475 60.9% - 0s
0 0 1.72695 0 32 1.07835 1.72695 60.1% - 0s
0 0 1.72429 0 36 1.07835 1.72429 59.9% - 0s
0 0 1.72422 0 32 1.07835 1.72422 59.9% - 0s
0 0 1.72378 0 30 1.07835 1.72378 59.9% - 0s
0 0 1.72378 0 30 1.07835 1.72378 59.9% - 0s
0 0 1.72378 0 31 1.07835 1.72378 59.9% - 0s
0 0 1.72378 0 26 1.07835 1.72378 59.9% - 0s
0 2 1.72378 0 26 1.07835 1.72378 59.9% - 0s
* 231 132 43 1.1241557 1.53821 36.8% 6.3 0s
* 487 169 43 1.1933793 1.47443 23.6% 5.8 0s
* 691 207 39 1.2036493 1.43688 19.4% 5.7 0s
* 798 218 37 1.2245617 1.42943 16.7% 5.6 0s
* 1594 1 35 1.2360841 1.26573 2.40% 5.6 0s
Cutting planes:
Gomory: 14
Cover: 7
Implied bound: 26
MIR: 10
Flow cover: 30
Flow path: 1
Inf proof: 24
Explored 1646 nodes (9683 simplex iterations) in 0.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.23608 1.22456 1.20365 ... 1.07835
Optimal solution found (tolerance 1.00e-02)
Best objective 1.236084055761e+00, best bound 1.239217344783e+00, gap 0.2535%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpckg5asvm.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4zxvusnd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11136
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.092933e+00, 370 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09293 0 33 1.11136 2.09293 88.3% - 0s
0 0 1.87693 0 37 1.11136 1.87693 68.9% - 0s
0 0 1.85780 0 37 1.11136 1.85780 67.2% - 0s
0 0 1.77233 0 34 1.11136 1.77233 59.5% - 0s
0 0 1.77167 0 34 1.11136 1.77167 59.4% - 0s
0 0 1.76690 0 39 1.11136 1.76690 59.0% - 0s
0 0 1.76651 0 40 1.11136 1.76651 58.9% - 0s
0 0 1.76598 0 39 1.11136 1.76598 58.9% - 0s
0 0 1.72461 0 36 1.11136 1.72461 55.2% - 0s
0 0 1.72375 0 36 1.11136 1.72375 55.1% - 0s
0 0 1.71526 0 35 1.11136 1.71526 54.3% - 0s
0 0 1.71450 0 34 1.11136 1.71450 54.3% - 0s
0 0 1.71450 0 34 1.11136 1.71450 54.3% - 0s
0 0 1.71290 0 33 1.11136 1.71290 54.1% - 0s
0 0 1.71189 0 34 1.11136 1.71189 54.0% - 0s
0 0 1.71189 0 31 1.11136 1.71189 54.0% - 0s
0 2 1.71189 0 31 1.11136 1.71189 54.0% - 0s
* 320 108 43 1.2191947 1.53801 26.1% 6.6 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 13
Clique: 4
MIR: 11
Flow cover: 31
Flow path: 1
Inf proof: 11
Explored 1074 nodes (7637 simplex iterations) in 0.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.21919 1.11136
Optimal solution found (tolerance 1.00e-02)
Best objective 1.219194716109e+00, best bound 1.219194716109e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyc603hcj.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwjawcd41.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10687
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.066112e+00, 421 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06611 0 35 1.10687 2.06611 86.7% - 0s
0 0 1.85532 0 44 1.10687 1.85532 67.6% - 0s
0 0 1.83716 0 44 1.10687 1.83716 66.0% - 0s
0 0 1.74568 0 40 1.10687 1.74568 57.7% - 0s
0 0 1.74521 0 40 1.10687 1.74521 57.7% - 0s
0 0 1.74095 0 41 1.10687 1.74095 57.3% - 0s
0 0 1.74060 0 42 1.10687 1.74060 57.3% - 0s
0 0 1.74031 0 39 1.10687 1.74031 57.2% - 0s
0 0 1.74031 0 36 1.10687 1.74031 57.2% - 0s
0 2 1.74031 0 36 1.10687 1.74031 57.2% - 0s
* 118 67 41 1.1650838 1.58078 35.7% 7.4 0s
* 389 151 45 1.2273079 1.46810 19.6% 7.0 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 18
Clique: 4
MIR: 5
Flow cover: 32
Flow path: 1
Inf proof: 14
Explored 1126 nodes (8481 simplex iterations) in 0.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22731 1.16508 1.10687
Optimal solution found (tolerance 1.00e-02)
Best objective 1.227307855482e+00, best bound 1.227307855482e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeuc6f54s.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn8tu6foz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12001
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.023768e+00, 404 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02377 0 41 1.12001 2.02377 80.7% - 0s
0 0 1.81382 0 47 1.12001 1.81382 61.9% - 0s
0 0 1.79684 0 47 1.12001 1.79684 60.4% - 0s
0 0 1.74459 0 40 1.12001 1.74459 55.8% - 0s
0 0 1.74400 0 40 1.12001 1.74400 55.7% - 0s
0 0 1.74049 0 40 1.12001 1.74049 55.4% - 0s
0 0 1.73916 0 41 1.12001 1.73916 55.3% - 0s
0 0 1.73866 0 41 1.12001 1.73866 55.2% - 0s
0 0 1.70960 0 44 1.12001 1.70960 52.6% - 0s
0 0 1.70661 0 48 1.12001 1.70661 52.4% - 0s
0 0 1.70661 0 48 1.12001 1.70661 52.4% - 0s
0 0 1.69390 0 44 1.12001 1.69390 51.2% - 0s
0 0 1.69357 0 47 1.12001 1.69357 51.2% - 0s
0 0 1.69268 0 47 1.12001 1.69268 51.1% - 0s
0 0 1.69259 0 47 1.12001 1.69259 51.1% - 0s
0 0 1.69029 0 47 1.12001 1.69029 50.9% - 0s
0 0 1.68908 0 47 1.12001 1.68908 50.8% - 0s
0 0 1.68402 0 47 1.12001 1.68402 50.4% - 0s
0 0 1.68390 0 47 1.12001 1.68390 50.3% - 0s
0 0 1.68388 0 47 1.12001 1.68388 50.3% - 0s
0 0 1.68388 0 45 1.12001 1.68388 50.3% - 0s
0 2 1.68388 0 44 1.12001 1.68388 50.3% - 0s
* 723 245 43 1.2010819 1.43778 19.7% 7.0 0s
* 1686 15 41 1.2079891 1.24344 2.93% 6.7 0s
Cutting planes:
Gomory: 8
Cover: 8
Implied bound: 20
Clique: 2
MIR: 10
Flow cover: 43
Flow path: 1
Inf proof: 18
Explored 1730 nodes (12223 simplex iterations) in 0.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.20799 1.20108 1.12001
Optimal solution found (tolerance 1.00e-02)
Best objective 1.207989077640e+00, best bound 1.207989077640e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5fabkgv4.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3ndao4u3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11052
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.979997e+00, 489 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98000 0 48 1.11052 1.98000 78.3% - 0s
0 0 1.80233 0 48 1.11052 1.80233 62.3% - 0s
0 0 1.78603 0 48 1.11052 1.78603 60.8% - 0s
0 0 1.70948 0 55 1.11052 1.70948 53.9% - 0s
0 0 1.70631 0 52 1.11052 1.70631 53.6% - 0s
0 0 1.70230 0 54 1.11052 1.70230 53.3% - 0s
0 0 1.70201 0 55 1.11052 1.70201 53.3% - 0s
0 0 1.70201 0 57 1.11052 1.70201 53.3% - 0s
0 0 1.70100 0 52 1.11052 1.70100 53.2% - 0s
0 0 1.70100 0 52 1.11052 1.70100 53.2% - 0s
0 2 1.70100 0 46 1.11052 1.70100 53.2% - 0s
* 368 163 50 1.1810440 1.42875 21.0% 7.9 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 22
Clique: 4
MIR: 8
Flow cover: 48
Flow path: 1
Inf proof: 6
Explored 1187 nodes (9431 simplex iterations) in 0.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.18104 1.11052
Optimal solution found (tolerance 1.00e-02)
Best objective 1.181044043906e+00, best bound 1.181044043906e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1w8z3s8t.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfe2nsuzo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10728
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.889273e+00, 501 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88927 0 45 1.10728 1.88927 70.6% - 0s
0 0 1.67999 0 56 1.10728 1.67999 51.7% - 0s
0 0 1.66470 0 56 1.10728 1.66470 50.3% - 0s
0 0 1.66469 0 57 1.10728 1.66469 50.3% - 0s
0 0 1.58290 0 52 1.10728 1.58290 43.0% - 0s
0 0 1.58129 0 50 1.10728 1.58129 42.8% - 0s
0 0 1.58129 0 50 1.10728 1.58129 42.8% - 0s
0 0 1.57405 0 47 1.10728 1.57405 42.2% - 0s
0 0 1.57379 0 47 1.10728 1.57379 42.1% - 0s
0 0 1.54096 0 49 1.10728 1.54096 39.2% - 0s
0 0 1.54040 0 49 1.10728 1.54040 39.1% - 0s
0 0 1.53394 0 47 1.10728 1.53394 38.5% - 0s
0 0 1.53339 0 48 1.10728 1.53339 38.5% - 0s
0 0 1.53339 0 48 1.10728 1.53339 38.5% - 0s
0 0 1.52953 0 47 1.10728 1.52953 38.1% - 0s
0 0 1.52792 0 50 1.10728 1.52792 38.0% - 0s
0 0 1.52749 0 46 1.10728 1.52749 38.0% - 0s
0 0 1.52741 0 46 1.10728 1.52741 37.9% - 0s
0 0 1.52727 0 45 1.10728 1.52727 37.9% - 0s
0 0 1.52727 0 45 1.10728 1.52727 37.9% - 0s
0 2 1.52727 0 43 1.10728 1.52727 37.9% - 0s
* 1382 0 52 1.1186545 1.12607 0.66% 6.9 0s
Cutting planes:
Gomory: 11
Cover: 4
Implied bound: 31
Clique: 2
MIR: 10
Flow cover: 51
Flow path: 1
Inf proof: 11
Explored 1391 nodes (10540 simplex iterations) in 0.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.11865 1.10728
Optimal solution found (tolerance 1.00e-02)
Best objective 1.118654547007e+00, best bound 1.118654547007e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8zrgble8.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprflpl2mg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03709
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.889579e+00, 541 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88958 0 50 1.03709 1.88958 82.2% - 0s
0 0 1.66953 0 60 1.03709 1.66953 61.0% - 0s
0 0 1.65452 0 60 1.03709 1.65452 59.5% - 0s
0 0 1.65451 0 61 1.03709 1.65451 59.5% - 0s
0 0 1.60000 0 59 1.03709 1.60000 54.3% - 0s
0 0 1.59893 0 58 1.03709 1.59893 54.2% - 0s
0 0 1.59892 0 58 1.03709 1.59892 54.2% - 0s
0 0 1.59226 0 53 1.03709 1.59226 53.5% - 0s
0 0 1.59226 0 54 1.03709 1.59226 53.5% - 0s
0 0 1.56027 0 54 1.03709 1.56027 50.4% - 0s
0 0 1.55992 0 54 1.03709 1.55992 50.4% - 0s
0 0 1.55985 0 54 1.03709 1.55985 50.4% - 0s
0 0 1.55286 0 51 1.03709 1.55286 49.7% - 0s
0 0 1.55264 0 53 1.03709 1.55264 49.7% - 0s
0 0 1.55169 0 53 1.03709 1.55169 49.6% - 0s
0 0 1.55169 0 47 1.03709 1.55169 49.6% - 0s
0 2 1.55169 0 47 1.03709 1.55169 49.6% - 0s
H 1529 645 1.0572926 1.32647 25.5% 7.7 0s
* 2113 586 82 1.0613483 1.29079 21.6% 8.5 2s
* 2790 400 62 1.0694095 1.15150 7.68% 8.5 3s
* 2892 258 71 1.0925342 1.14230 4.55% 8.4 3s
Cutting planes:
Learned: 1
Gomory: 41
Cover: 2
Implied bound: 16
Projected implied bound: 12
Clique: 4
MIR: 10
Flow cover: 42
Flow path: 2
Inf proof: 14
Explored 3196 nodes (27150 simplex iterations) in 3.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.09253 1.06941 1.06135 ... 1.03709
Optimal solution found (tolerance 1.00e-02)
Best objective 1.092534246639e+00, best bound 1.099115124908e+00, gap 0.6023%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp26uqkopg.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkr22avox.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07493
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.870888e+00, 533 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87089 0 45 1.07493 1.87089 74.0% - 0s
0 0 1.82871 0 52 1.07493 1.82871 70.1% - 0s
0 0 1.81445 0 52 1.07493 1.81445 68.8% - 0s
0 0 1.68521 0 58 1.07493 1.68521 56.8% - 0s
0 0 1.68514 0 58 1.07493 1.68514 56.8% - 0s
0 0 1.68276 0 60 1.07493 1.68276 56.5% - 0s
0 0 1.67942 0 59 1.07493 1.67942 56.2% - 0s
0 0 1.65412 0 60 1.07493 1.65412 53.9% - 0s
0 0 1.65381 0 60 1.07493 1.65381 53.9% - 0s
0 0 1.63854 0 63 1.07493 1.63854 52.4% - 0s
0 0 1.63810 0 63 1.07493 1.63810 52.4% - 0s
0 0 1.63751 0 59 1.07493 1.63751 52.3% - 0s
0 0 1.63531 0 62 1.07493 1.63531 52.1% - 0s
0 0 1.63510 0 60 1.07493 1.63510 52.1% - 0s
0 0 1.63447 0 57 1.07493 1.63447 52.1% - 0s
0 0 1.63394 0 59 1.07493 1.63394 52.0% - 0s
0 0 1.63155 0 60 1.07493 1.63155 51.8% - 0s
0 0 1.62857 0 60 1.07493 1.62857 51.5% - 0s
0 0 1.62842 0 62 1.07493 1.62842 51.5% - 0s
0 0 1.62838 0 62 1.07493 1.62838 51.5% - 0s
0 0 1.62838 0 62 1.07493 1.62838 51.5% - 0s
0 0 1.62838 0 59 1.07493 1.62838 51.5% - 0s
0 2 1.62838 0 59 1.07493 1.62838 51.5% - 0s
* 2682 270 82 1.0821673 1.16356 7.52% 6.7 1s
* 3649 199 82 1.0831944 1.12979 4.30% 6.4 2s
* 3706 192 78 1.0833705 1.12971 4.28% 6.4 2s
* 3733 192 77 1.0841008 1.12971 4.21% 6.4 2s
Cutting planes:
Gomory: 7
Cover: 9
Implied bound: 40
Clique: 2
MIR: 12
Flow cover: 41
Flow path: 1
Inf proof: 50
Explored 4297 nodes (28008 simplex iterations) in 2.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.0841 1.08337 1.08319 ... 1.07493
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084100762000e+00, best bound 1.091269274080e+00, gap 0.6612%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg1u5amm5.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4577rifs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05607
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.816908e+00, 594 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81691 0 48 1.05607 1.81691 72.0% - 0s
0 0 1.77631 0 55 1.05607 1.77631 68.2% - 0s
0 0 1.76267 0 55 1.05607 1.76267 66.9% - 0s
0 0 1.68616 0 61 1.05607 1.68616 59.7% - 0s
0 0 1.68609 0 61 1.05607 1.68609 59.7% - 0s
0 0 1.67412 0 66 1.05607 1.67412 58.5% - 0s
0 0 1.67261 0 63 1.05607 1.67261 58.4% - 0s
0 0 1.67037 0 65 1.05607 1.67037 58.2% - 0s
0 0 1.67037 0 65 1.05607 1.67037 58.2% - 0s
0 0 1.64448 0 66 1.05607 1.64448 55.7% - 0s
0 0 1.64334 0 70 1.05607 1.64334 55.6% - 0s
0 0 1.62823 0 64 1.05607 1.62823 54.2% - 0s
0 0 1.62782 0 66 1.05607 1.62782 54.1% - 0s
0 0 1.62374 0 66 1.05607 1.62374 53.8% - 0s
0 0 1.62349 0 67 1.05607 1.62349 53.7% - 0s
0 0 1.62338 0 67 1.05607 1.62338 53.7% - 0s
0 0 1.62338 0 66 1.05607 1.62338 53.7% - 0s
0 2 1.62338 0 63 1.05607 1.62338 53.7% - 0s
* 2838 244 82 1.0569632 1.12238 6.19% 7.1 2s
Cutting planes:
Learned: 3
Cover: 1
Implied bound: 5
Clique: 1
MIR: 2
Flow cover: 2
Inf proof: 2
Explored 3906 nodes (28465 simplex iterations) in 3.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.05696 1.05607
Optimal solution found (tolerance 1.00e-02)
Best objective 1.056963168924e+00, best bound 1.056963168924e+00, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0k76bfia.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv4sisw9r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03028
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.756248e+00, 697 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75625 0 54 1.03028 1.75625 70.5% - 0s
0 0 1.59241 0 56 1.03028 1.59241 54.6% - 0s
0 0 1.57936 0 56 1.03028 1.57936 53.3% - 0s
0 0 1.54155 0 62 1.03028 1.54155 49.6% - 0s
0 0 1.54107 0 59 1.03028 1.54107 49.6% - 0s
0 0 1.53493 0 65 1.03028 1.53493 49.0% - 0s
0 0 1.53473 0 66 1.03028 1.53473 49.0% - 0s
0 0 1.53473 0 66 1.03028 1.53473 49.0% - 0s
0 0 1.53284 0 63 1.03028 1.53284 48.8% - 0s
0 0 1.53257 0 64 1.03028 1.53257 48.8% - 0s
0 0 1.50595 0 65 1.03028 1.50595 46.2% - 0s
0 0 1.50574 0 65 1.03028 1.50574 46.1% - 0s
0 0 1.50573 0 65 1.03028 1.50573 46.1% - 0s
0 0 1.49786 0 60 1.03028 1.49786 45.4% - 0s
0 0 1.49368 0 60 1.03028 1.49368 45.0% - 0s
0 0 1.49334 0 62 1.03028 1.49334 44.9% - 0s
0 0 1.49334 0 63 1.03028 1.49334 44.9% - 0s
0 0 1.49230 0 64 1.03028 1.49230 44.8% - 0s
0 0 1.49230 0 58 1.03028 1.49230 44.8% - 0s
0 2 1.49230 0 57 1.03028 1.49230 44.8% - 0s
* 363 224 101 1.0325078 1.37052 32.7% 8.3 0s
2932 196 1.03777 72 23 1.03251 1.07598 4.21% 10.1 5s
* 2966 180 90 1.0370883 1.07598 3.75% 10.0 5s
Cutting planes:
Learned: 1
Gomory: 49
Cover: 1
Implied bound: 15
Projected implied bound: 15
Clique: 4
MIR: 12
Flow cover: 35
Flow path: 1
Inf proof: 27
Explored 3318 nodes (33949 simplex iterations) in 5.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.03709 1.03251 1.03028
Optimal solution found (tolerance 1.00e-02)
Best objective 1.037088284344e+00, best bound 1.046397399892e+00, gap 0.8976%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptf_vzw5q.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkgrbbwdi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03769
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.794601e+00, 652 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79460 0 48 1.03769 1.79460 72.9% - 0s
0 0 1.76224 0 56 1.03769 1.76224 69.8% - 0s
0 0 1.74949 0 56 1.03769 1.74949 68.6% - 0s
0 0 1.65935 0 70 1.03769 1.65935 59.9% - 0s
0 0 1.65907 0 70 1.03769 1.65907 59.9% - 0s
0 0 1.65474 0 73 1.03769 1.65474 59.5% - 0s
0 0 1.65456 0 74 1.03769 1.65456 59.4% - 0s
0 0 1.65337 0 71 1.03769 1.65337 59.3% - 0s
0 0 1.65273 0 72 1.03769 1.65273 59.3% - 0s
0 0 1.62352 0 72 1.03769 1.62352 56.5% - 0s
0 0 1.61525 0 71 1.03769 1.61525 55.7% - 0s
0 0 1.61388 0 72 1.03769 1.61388 55.5% - 0s
0 0 1.61290 0 74 1.03769 1.61290 55.4% - 0s
0 0 1.61263 0 70 1.03769 1.61263 55.4% - 0s
0 0 1.61124 0 70 1.03769 1.61124 55.3% - 0s
0 0 1.60999 0 70 1.03769 1.60999 55.2% - 0s
0 0 1.60969 0 69 1.03769 1.60969 55.1% - 0s
0 0 1.60969 0 70 1.03769 1.60969 55.1% - 0s
0 0 1.60948 0 70 1.03769 1.60948 55.1% - 0s
0 0 1.60902 0 70 1.03769 1.60902 55.1% - 0s
0 0 1.60902 0 70 1.03769 1.60902 55.1% - 0s
0 2 1.60902 0 70 1.03769 1.60902 55.1% - 0s
* 1935 577 81 1.0394267 1.19600 15.1% 9.3 4s
2691 531 1.10150 28 57 1.03943 1.13900 9.58% 9.2 5s
* 4606 184 68 1.0418890 1.07494 3.17% 10.1 7s
* 4841 12 69 1.0428453 1.06107 1.75% 10.1 7s
* 4842 10 69 1.0434632 1.06107 1.69% 10.1 7s
Cutting planes:
Learned: 1
Gomory: 61
Implied bound: 19
Projected implied bound: 21
Clique: 2
MIR: 20
Flow cover: 39
Flow path: 1
Inf proof: 36
Explored 4886 nodes (50527 simplex iterations) in 7.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.04346 1.04285 1.04189 ... 1.03769
Optimal solution found (tolerance 1.00e-02)
Best objective 1.043463175635e+00, best bound 1.045387152085e+00, gap 0.1844%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp12a_sns0.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6gtgndfu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04135
Presolve removed 403 rows and 253 columns
Presolve time: 0.03s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.771675e+00, 704 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77168 0 56 1.04135 1.77168 70.1% - 0s
0 0 1.74225 0 60 1.04135 1.74225 67.3% - 0s
0 0 1.72998 0 60 1.04135 1.72998 66.1% - 0s
0 0 1.65999 0 75 1.04135 1.65999 59.4% - 0s
0 0 1.65992 0 75 1.04135 1.65992 59.4% - 0s
0 0 1.63812 0 78 1.04135 1.63812 57.3% - 0s
0 0 1.63712 0 75 1.04135 1.63712 57.2% - 0s
0 0 1.63642 0 81 1.04135 1.63642 57.1% - 0s
0 0 1.63611 0 85 1.04135 1.63611 57.1% - 0s
0 0 1.59915 0 78 1.04135 1.59915 53.6% - 0s
0 0 1.59184 0 78 1.04135 1.59184 52.9% - 0s
0 0 1.58238 0 77 1.04135 1.58238 52.0% - 0s
0 0 1.58224 0 81 1.04135 1.58224 51.9% - 0s
0 0 1.58107 0 81 1.04135 1.58107 51.8% - 0s
0 0 1.57990 0 85 1.04135 1.57990 51.7% - 0s
0 0 1.57954 0 82 1.04135 1.57954 51.7% - 0s
0 0 1.57948 0 82 1.04135 1.57948 51.7% - 0s
0 0 1.57948 0 82 1.04135 1.57948 51.7% - 0s
0 2 1.57948 0 79 1.04135 1.57948 51.7% - 0s
2369 368 cutoff 33 1.04135 1.15328 10.7% 11.6 5s
H 3549 515 1.0414035 1.10646 6.25% 11.0 6s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 3
Implied bound: 21
Projected implied bound: 27
Clique: 3
MIR: 23
Flow cover: 73
Flow path: 1
Inf proof: 56
Explored 6013 nodes (62582 simplex iterations) in 9.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0414 1.04135
Optimal solution found (tolerance 1.00e-02)
Best objective 1.041403506800e+00, best bound 1.049993183451e+00, gap 0.8248%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm9cfvxoq.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv87yr0bm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00289
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.705938e+00, 753 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70594 0 53 1.00289 1.70594 70.1% - 0s
0 0 1.66188 0 57 1.00289 1.66188 65.7% - 0s
0 0 1.65007 0 57 1.00289 1.65007 64.5% - 0s
0 0 1.63873 0 75 1.00289 1.63873 63.4% - 0s
0 0 1.63821 0 75 1.00289 1.63821 63.3% - 0s
0 0 1.61994 0 79 1.00289 1.61994 61.5% - 0s
0 0 1.61988 0 80 1.00289 1.61988 61.5% - 0s
0 0 1.61720 0 79 1.00289 1.61720 61.3% - 0s
0 0 1.59503 0 74 1.00289 1.59503 59.0% - 0s
0 0 1.58125 0 76 1.00289 1.58125 57.7% - 0s
0 0 1.58114 0 76 1.00289 1.58114 57.7% - 0s
0 0 1.58005 0 81 1.00289 1.58005 57.6% - 0s
0 0 1.58005 0 81 1.00289 1.58005 57.6% - 0s
0 0 1.57967 0 76 1.00289 1.57967 57.5% - 0s
0 0 1.57818 0 84 1.00289 1.57818 57.4% - 0s
0 0 1.57810 0 84 1.00289 1.57810 57.4% - 0s
0 0 1.57789 0 82 1.00289 1.57789 57.3% - 0s
0 0 1.57789 0 80 1.00289 1.57789 57.3% - 0s
0 2 1.57789 0 79 1.00289 1.57789 57.3% - 0s
4818 289 1.02613 57 41 1.00289 1.04454 4.15% 7.8 5s
Cutting planes:
Learned: 2
Gomory: 2
Implied bound: 7
Clique: 1
MIR: 4
Flow cover: 11
Flow path: 1
Inf proof: 4
Explored 5346 nodes (42631 simplex iterations) in 5.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00289
Optimal solution found (tolerance 1.00e-02)
Best objective 1.002889113472e+00, best bound 1.002889113472e+00, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe829fp9n.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxv21sq80.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00492
Presolve removed 429 rows and 269 columns
Presolve time: 0.03s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.708949e+00, 729 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70895 0 60 1.00492 1.70895 70.1% - 0s
0 0 1.66715 0 63 1.00492 1.66715 65.9% - 0s
0 0 1.65568 0 63 1.00492 1.65568 64.8% - 0s
0 0 1.52984 0 86 1.00492 1.52984 52.2% - 0s
0 0 1.52945 0 85 1.00492 1.52945 52.2% - 0s
0 0 1.52034 0 84 1.00492 1.52034 51.3% - 0s
0 0 1.52030 0 86 1.00492 1.52030 51.3% - 0s
0 0 1.49425 0 89 1.00492 1.49425 48.7% - 0s
0 0 1.49399 0 87 1.00492 1.49399 48.7% - 0s
0 0 1.48734 0 83 1.00492 1.48734 48.0% - 0s
0 0 1.48692 0 86 1.00492 1.48692 48.0% - 0s
0 0 1.48478 0 87 1.00492 1.48478 47.8% - 0s
0 0 1.48452 0 89 1.00492 1.48452 47.7% - 0s
0 0 1.48373 0 94 1.00492 1.48373 47.6% - 0s
0 0 1.48340 0 89 1.00492 1.48340 47.6% - 0s
0 0 1.48339 0 88 1.00492 1.48339 47.6% - 0s
0 0 1.48339 0 86 1.00492 1.48339 47.6% - 0s
0 2 1.48339 0 85 1.00492 1.48339 47.6% - 0s
1881 581 1.05784 44 60 1.00492 1.16437 15.9% 12.5 5s
5087 998 1.05284 43 37 1.00492 1.09634 9.10% 13.8 10s
Cutting planes:
Learned: 1
Gomory: 53
Cover: 4
Implied bound: 23
Projected implied bound: 21
Clique: 1
MIR: 18
Flow cover: 72
Flow path: 2
Inf proof: 89
Network: 1
Explored 9545 nodes (120241 simplex iterations) in 14.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00492
Optimal solution found (tolerance 1.00e-02)
Best objective 1.004918891402e+00, best bound 1.010706474460e+00, gap 0.5759%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr6vysht7.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmwekrbv3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00084
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.669541e+00, 834 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66954 0 65 1.00084 1.66954 66.8% - 0s
0 0 1.62163 0 81 1.00084 1.62163 62.0% - 0s
0 0 1.61059 0 82 1.00084 1.61059 60.9% - 0s
0 0 1.48571 0 73 1.00084 1.48571 48.4% - 0s
0 0 1.48455 0 73 1.00084 1.48455 48.3% - 0s
0 0 1.47248 0 81 1.00084 1.47248 47.1% - 0s
0 0 1.47241 0 87 1.00084 1.47241 47.1% - 0s
0 0 1.46958 0 83 1.00084 1.46958 46.8% - 0s
0 0 1.45001 0 80 1.00084 1.45001 44.9% - 0s
0 0 1.43839 0 75 1.00084 1.43839 43.7% - 0s
0 0 1.43839 0 74 1.00084 1.43839 43.7% - 0s
0 0 1.43808 0 76 1.00084 1.43808 43.7% - 0s
0 0 1.43808 0 76 1.00084 1.43808 43.7% - 0s
0 0 1.43745 0 85 1.00084 1.43745 43.6% - 0s
0 0 1.43745 0 85 1.00084 1.43745 43.6% - 0s
0 2 1.43745 0 83 1.00084 1.43745 43.6% - 0s
1325 519 1.07490 28 79 1.00084 1.22892 22.8% 13.4 5s
6058 1239 1.02904 62 39 1.00084 1.08772 8.68% 12.0 10s
Cutting planes:
Learned: 1
Gomory: 49
Cover: 5
Implied bound: 22
Projected implied bound: 23
Clique: 2
MIR: 35
Flow cover: 82
Flow path: 4
Inf proof: 83
Explored 9912 nodes (117360 simplex iterations) in 14.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00084
Optimal solution found (tolerance 1.00e-02)
Best objective 1.000835202782e+00, best bound 1.004022030256e+00, gap 0.3184%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppnqefcd6.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9j47pph2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.990036
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.656884e+00, 906 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65688 0 60 0.99004 1.65688 67.4% - 0s
0 0 1.62237 0 64 0.99004 1.62237 63.9% - 0s
0 0 1.61164 0 64 0.99004 1.61164 62.8% - 0s
0 0 1.49251 0 88 0.99004 1.49251 50.8% - 0s
0 0 1.49212 0 87 0.99004 1.49212 50.7% - 0s
0 0 1.48415 0 87 0.99004 1.48415 49.9% - 0s
0 0 1.48402 0 91 0.99004 1.48402 49.9% - 0s
0 0 1.45992 0 93 0.99004 1.45992 47.5% - 0s
0 0 1.45967 0 93 0.99004 1.45967 47.4% - 0s
0 0 1.45382 0 90 0.99004 1.45382 46.8% - 0s
0 0 1.45374 0 91 0.99004 1.45374 46.8% - 0s
0 0 1.45142 0 96 0.99004 1.45142 46.6% - 0s
0 0 1.45116 0 92 0.99004 1.45116 46.6% - 0s
0 0 1.45062 0 95 0.99004 1.45062 46.5% - 0s
0 0 1.45008 0 92 0.99004 1.45008 46.5% - 0s
0 0 1.45008 0 92 0.99004 1.45008 46.5% - 0s
0 0 1.45008 0 86 0.99004 1.45008 46.5% - 0s
0 2 1.45008 0 86 0.99004 1.45008 46.5% - 0s
1576 737 1.05671 30 78 0.99004 1.24330 25.6% 11.5 5s
* 2288 890 121 0.9901332 1.20973 22.2% 12.5 6s
4084 1024 1.07932 34 89 0.99013 1.14674 15.8% 14.1 10s
7824 1339 infeasible 37 0.99013 1.06553 7.62% 14.0 15s
Cutting planes:
Gomory: 51
Cover: 7
Implied bound: 20
Projected implied bound: 33
Clique: 5
MIR: 25
Flow cover: 85
Inf proof: 81
Explored 12190 nodes (159819 simplex iterations) in 20.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.990133 0.990036
Optimal solution found (tolerance 1.00e-02)
Best objective 9.901331659194e-01, best bound 9.975715620185e-01, gap 0.7513%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnfjot9ke.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwlafj_sc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.974759
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.631461e+00, 788 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63146 0 65 0.97476 1.63146 67.4% - 0s
0 0 1.59023 0 81 0.97476 1.59023 63.1% - 0s
0 0 1.58038 0 84 0.97476 1.58038 62.1% - 0s
0 0 1.52969 0 93 0.97476 1.52969 56.9% - 0s
0 0 1.52748 0 90 0.97476 1.52748 56.7% - 0s
0 0 1.51369 0 91 0.97476 1.51369 55.3% - 0s
0 0 1.51321 0 90 0.97476 1.51321 55.2% - 0s
0 0 1.50249 0 88 0.97476 1.50249 54.1% - 0s
0 0 1.50249 0 90 0.97476 1.50249 54.1% - 0s
0 0 1.50204 0 91 0.97476 1.50204 54.1% - 0s
0 0 1.49939 0 92 0.97476 1.49939 53.8% - 0s
0 0 1.49935 0 93 0.97476 1.49935 53.8% - 0s
0 0 1.49935 0 94 0.97476 1.49935 53.8% - 0s
0 0 1.49782 0 93 0.97476 1.49782 53.7% - 0s
0 0 1.49777 0 96 0.97476 1.49777 53.7% - 0s
0 0 1.49746 0 93 0.97476 1.49746 53.6% - 0s
0 0 1.49743 0 96 0.97476 1.49743 53.6% - 0s
0 0 1.49743 0 82 0.97476 1.49743 53.6% - 0s
0 2 1.49743 0 82 0.97476 1.49743 53.6% - 0s
* 1204 556 130 0.9771050 1.22297 25.2% 12.5 4s
* 1212 526 129 0.9795474 1.22297 24.9% 12.5 4s
1678 603 1.10070 42 64 0.97955 1.18021 20.5% 12.7 5s
4480 1197 1.07098 51 63 0.97955 1.09500 11.8% 14.1 10s
H 4730 1212 0.9798302 1.09410 11.7% 14.3 10s
7328 988 cutoff 44 0.97983 1.04018 6.16% 15.0 15s
* 8175 916 89 0.9802271 1.02617 4.69% 14.8 16s
* 9037 660 85 0.9811650 1.01186 3.13% 14.4 17s
* 9325 520 80 0.9820021 1.00661 2.51% 14.3 17s
Cutting planes:
Gomory: 49
Cover: 2
Implied bound: 27
Projected implied bound: 32
Clique: 1
MIR: 28
Flow cover: 88
Inf proof: 67
Explored 9875 nodes (139872 simplex iterations) in 18.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.982002 0.981165 0.980227 ... 0.974759
Optimal solution found (tolerance 1.00e-02)
Best objective 9.820020929123e-01, best bound 9.903132359700e-01, gap 0.8463%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc52w3jev.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5ny3sqmj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.963618
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.596755e+00, 914 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59675 0 66 0.96362 1.59675 65.7% - 0s
0 0 1.56034 0 84 0.96362 1.56034 61.9% - 0s
0 0 1.55015 0 84 0.96362 1.55015 60.9% - 0s
0 0 1.52374 0 98 0.96362 1.52374 58.1% - 0s
0 0 1.52351 0 91 0.96362 1.52351 58.1% - 0s
0 0 1.51438 0 92 0.96362 1.51438 57.2% - 0s
0 0 1.51438 0 95 0.96362 1.51438 57.2% - 0s
0 0 1.49588 0 97 0.96362 1.49588 55.2% - 0s
0 0 1.49414 0 96 0.96362 1.49414 55.1% - 0s
0 0 1.48582 0 92 0.96362 1.48582 54.2% - 0s
0 0 1.48564 0 95 0.96362 1.48564 54.2% - 0s
0 0 1.48392 0 98 0.96362 1.48392 54.0% - 0s
0 0 1.48302 0 101 0.96362 1.48302 53.9% - 0s
0 0 1.48276 0 96 0.96362 1.48276 53.9% - 0s
0 0 1.48275 0 96 0.96362 1.48275 53.9% - 0s
0 0 1.48267 0 97 0.96362 1.48267 53.9% - 0s
0 0 1.48267 0 99 0.96362 1.48267 53.9% - 0s
0 0 1.48267 0 99 0.96362 1.48267 53.9% - 0s
0 0 1.48267 0 98 0.96362 1.48267 53.9% - 0s
0 2 1.48267 0 98 0.96362 1.48267 53.9% - 0s
2753 621 infeasible 42 0.96362 1.09936 14.1% 9.5 5s
H 6298 423 0.9636176 1.00556 4.35% 9.0 8s
7081 15 infeasible 83 0.96362 0.97720 1.41% 9.0 10s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 10
Clique: 2
MIR: 7
Flow cover: 20
Inf proof: 5
Explored 7236 nodes (66155 simplex iterations) in 10.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.963618 0.963618
Optimal solution found (tolerance 1.00e-02)
Best objective 9.636176181392e-01, best bound 9.713956828959e-01, gap 0.8072%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1a3omyif.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu368adgp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.962421
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.602017e+00, 967 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60202 0 65 0.96242 1.60202 66.5% - 0s
0 0 1.57482 0 68 0.96242 1.57482 63.6% - 0s
0 0 1.56496 0 68 0.96242 1.56496 62.6% - 0s
0 0 1.48528 0 98 0.96242 1.48528 54.3% - 0s
0 0 1.48506 0 98 0.96242 1.48506 54.3% - 0s
0 0 1.47271 0 99 0.96242 1.47271 53.0% - 0s
0 0 1.47267 0 99 0.96242 1.47267 53.0% - 0s
0 0 1.47048 0 103 0.96242 1.47048 52.8% - 0s
0 0 1.44965 0 109 0.96242 1.44965 50.6% - 0s
0 0 1.43456 0 103 0.96242 1.43456 49.1% - 0s
0 0 1.43349 0 110 0.96242 1.43349 48.9% - 0s
0 0 1.43171 0 102 0.96242 1.43171 48.8% - 0s
0 0 1.43162 0 103 0.96242 1.43162 48.8% - 0s
0 0 1.43154 0 108 0.96242 1.43154 48.7% - 0s
0 0 1.43154 0 108 0.96242 1.43154 48.7% - 0s
0 0 1.43096 0 109 0.96242 1.43096 48.7% - 0s
0 0 1.43096 0 105 0.96242 1.43096 48.7% - 0s
0 2 1.43096 0 105 0.96242 1.43096 48.7% - 0s
968 504 1.17988 28 73 0.96242 1.28801 33.8% 13.8 5s
* 1665 572 129 0.9639974 1.18732 23.2% 13.9 6s
3876 1078 1.05978 39 64 0.96400 1.10202 14.3% 12.9 10s
8288 1954 1.03053 52 52 0.96400 1.04974 8.89% 11.7 15s
11312 1777 1.02400 57 57 0.96400 1.02500 6.33% 12.4 20s
14320 970 cutoff 71 0.96400 0.99618 3.34% 12.8 25s
Cutting planes:
Learned: 1
Gomory: 49
Cover: 3
Implied bound: 21
Projected implied bound: 22
Clique: 4
MIR: 19
Flow cover: 79
Flow path: 1
Inf proof: 118
Explored 15755 nodes (203059 simplex iterations) in 27.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.963997 0.962421
Optimal solution found (tolerance 1.00e-02)
Best objective 9.639974323326e-01, best bound 9.718273827424e-01, gap 0.8122%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph53f398s.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4pd__nnb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.948602
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.579093e+00, 1007 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57909 0 69 0.94860 1.57909 66.5% - 0s
0 0 1.54661 0 86 0.94860 1.54661 63.0% - 0s
0 0 1.53729 0 88 0.94860 1.53729 62.1% - 0s
0 0 1.47533 0 104 0.94860 1.47533 55.5% - 0s
0 0 1.47390 0 106 0.94860 1.47390 55.4% - 0s
0 0 1.46413 0 94 0.94860 1.46413 54.3% - 0s
0 0 1.46336 0 97 0.94860 1.46336 54.3% - 0s
0 0 1.45532 0 98 0.94860 1.45532 53.4% - 0s
0 0 1.45504 0 98 0.94860 1.45504 53.4% - 0s
0 0 1.45463 0 97 0.94860 1.45463 53.3% - 0s
0 0 1.45463 0 97 0.94860 1.45463 53.3% - 0s
0 0 1.45296 0 97 0.94860 1.45296 53.2% - 0s
0 0 1.45276 0 97 0.94860 1.45276 53.1% - 0s
0 0 1.45276 0 90 0.94860 1.45276 53.1% - 0s
0 2 1.45276 0 90 0.94860 1.45276 53.1% - 0s
* 1244 518 131 0.9510309 1.22906 29.2% 13.0 4s
1794 477 1.01365 67 53 0.95103 1.11929 17.7% 12.1 5s
4532 1144 infeasible 53 0.95103 1.07109 12.6% 12.0 10s
H 4538 1140 0.9522512 1.07066 12.4% 12.0 10s
7593 1177 cutoff 69 0.95225 1.02568 7.71% 12.3 15s
11199 259 0.95302 83 28 0.95225 0.96659 1.51% 12.2 20s
Cutting planes:
Gomory: 40
Cover: 1
Implied bound: 43
Projected implied bound: 21
Clique: 1
MIR: 26
Flow cover: 65
Flow path: 1
Inf proof: 136
Explored 11631 nodes (141528 simplex iterations) in 20.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.952251 0.951031 0.948602
Optimal solution found (tolerance 1.00e-02)
Best objective 9.522512006928e-01, best bound 9.611449701779e-01, gap 0.9340%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprvcobjgq.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6myzyvvk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.932854
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.534019e+00, 960 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53402 0 71 0.93285 1.53402 64.4% - 0s
0 0 1.50943 0 82 0.93285 1.50943 61.8% - 0s
0 0 1.50014 0 80 0.93285 1.50014 60.8% - 0s
0 0 1.48517 0 91 0.93285 1.48517 59.2% - 0s
0 0 1.48491 0 91 0.93285 1.48491 59.2% - 0s
0 0 1.47260 0 103 0.93285 1.47260 57.9% - 0s
0 0 1.46994 0 101 0.93285 1.46994 57.6% - 0s
0 0 1.44795 0 101 0.93285 1.44795 55.2% - 0s
0 0 1.44769 0 103 0.93285 1.44769 55.2% - 0s
0 0 1.43770 0 107 0.93285 1.43770 54.1% - 0s
0 0 1.43720 0 107 0.93285 1.43720 54.1% - 0s
0 0 1.43257 0 107 0.93285 1.43257 53.6% - 0s
0 0 1.43236 0 110 0.93285 1.43236 53.5% - 0s
0 0 1.43152 0 104 0.93285 1.43152 53.5% - 0s
0 0 1.43113 0 104 0.93285 1.43113 53.4% - 0s
0 0 1.43106 0 104 0.93285 1.43106 53.4% - 0s
0 0 1.43105 0 104 0.93285 1.43105 53.4% - 0s
0 0 1.43105 0 97 0.93285 1.43105 53.4% - 0s
0 2 1.43105 0 97 0.93285 1.43105 53.4% - 0s
1159 510 infeasible 32 0.93285 1.25750 34.8% 14.6 5s
H 3250 908 0.9328542 1.10128 18.1% 13.7 8s
3856 1117 0.93944 49 74 0.93285 1.08873 16.7% 13.3 10s
7125 1564 0.96022 60 42 0.93285 1.01903 9.24% 12.2 15s
H 8772 1929 0.9328542 1.00380 7.60% 11.7 16s
10469 1701 infeasible 45 0.93285 0.98917 6.04% 11.9 20s
13625 871 cutoff 65 0.93285 0.96169 3.09% 12.4 25s
Cutting planes:
Gomory: 35
Cover: 6
Implied bound: 27
Projected implied bound: 36
Clique: 1
MIR: 24
Flow cover: 74
Inf proof: 118
Explored 15196 nodes (187887 simplex iterations) in 27.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.932854 0.932854 0.932854
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.7647e-06) exceeds tolerance
Best objective 9.328541637115e-01, best bound 9.412807655398e-01, gap 0.9033%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnrt_wcra.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg1yv4tg1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2555_ by 0.999999963
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.490476e+00, 974 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49048 0 72 - 1.49048 - - 0s
Another try with MIP start
H 0 0 0.9118454 1.49048 63.5% - 0s
0 0 1.46943 0 94 0.91185 1.46943 61.1% - 0s
0 0 1.46014 0 93 0.91185 1.46014 60.1% - 0s
0 0 1.42627 0 102 0.91185 1.42627 56.4% - 0s
0 0 1.42532 0 102 0.91185 1.42532 56.3% - 0s
0 0 1.41339 0 103 0.91185 1.41339 55.0% - 0s
0 0 1.41336 0 104 0.91185 1.41336 55.0% - 0s
0 0 1.41017 0 113 0.91185 1.41017 54.7% - 0s
0 0 1.39154 0 107 0.91185 1.39154 52.6% - 0s
0 0 1.38276 0 104 0.91185 1.38276 51.6% - 0s
0 0 1.38214 0 104 0.91185 1.38214 51.6% - 0s
0 0 1.37959 0 107 0.91185 1.37959 51.3% - 0s
0 0 1.37909 0 109 0.91185 1.37909 51.2% - 0s
0 0 1.37722 0 107 0.91185 1.37722 51.0% - 0s
0 0 1.37691 0 106 0.91185 1.37691 51.0% - 0s
0 0 1.37579 0 107 0.91185 1.37579 50.9% - 0s
0 0 1.37579 0 108 0.91185 1.37579 50.9% - 0s
0 0 1.37579 0 108 0.91185 1.37579 50.9% - 0s
0 0 1.37579 0 98 0.91185 1.37579 50.9% - 0s
0 2 1.37579 0 98 0.91185 1.37579 50.9% - 0s
H 29 30 0.9118454 1.32797 45.6% 20.7 0s
1530 447 1.01576 37 64 0.91185 1.13250 24.2% 14.0 5s
5225 1435 0.94642 43 76 0.91185 1.02521 12.4% 11.0 10s
9462 860 0.95818 78 41 0.91185 0.95818 5.08% 10.5 15s
Cutting planes:
Gomory: 16
Cover: 2
Implied bound: 8
Projected implied bound: 8
Clique: 2
MIR: 9
Flow cover: 27
Inf proof: 11
Explored 11454 nodes (119371 simplex iterations) in 17.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.911845 0.911845
Optimal solution found (tolerance 1.00e-02)
Best objective 9.118454106343e-01, best bound 9.190301281012e-01, gap 0.7879%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpif3sl2pe.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgivxb93m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.886257
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.447226e+00, 1156 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44723 0 76 0.88626 1.44723 63.3% - 0s
0 0 1.41813 0 98 0.88626 1.41813 60.0% - 0s
0 0 1.40925 0 97 0.88626 1.40925 59.0% - 0s
0 0 1.39361 0 112 0.88626 1.39361 57.2% - 0s
0 0 1.39340 0 114 0.88626 1.39340 57.2% - 0s
0 0 1.38654 0 121 0.88626 1.38654 56.4% - 0s
0 0 1.38356 0 125 0.88626 1.38356 56.1% - 0s
0 0 1.36531 0 113 0.88626 1.36531 54.1% - 0s
0 0 1.36510 0 113 0.88626 1.36510 54.0% - 0s
0 0 1.35493 0 118 0.88626 1.35493 52.9% - 0s
0 0 1.35447 0 118 0.88626 1.35447 52.8% - 0s
0 0 1.35196 0 117 0.88626 1.35196 52.5% - 0s
0 0 1.35167 0 117 0.88626 1.35167 52.5% - 0s
0 0 1.35166 0 121 0.88626 1.35166 52.5% - 0s
0 0 1.35165 0 121 0.88626 1.35165 52.5% - 0s
0 0 1.35165 0 109 0.88626 1.35165 52.5% - 0s
0 2 1.35165 0 109 0.88626 1.35165 52.5% - 0s
894 463 1.07525 35 89 0.88626 1.18859 34.1% 16.3 5s
4611 1345 0.94104 67 70 0.88626 1.02515 15.7% 11.6 10s
8233 1733 0.91893 75 52 0.88626 0.97701 10.2% 11.5 15s
11852 1796 infeasible 63 0.88626 0.94569 6.71% 11.8 20s
15141 1504 infeasible 61 0.88626 0.92339 4.19% 12.3 25s
19067 453 0.89328 87 25 0.88626 0.89498 0.98% 12.4 30s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 1
Implied bound: 39
Projected implied bound: 43
Clique: 4
MIR: 22
Flow cover: 74
Flow path: 1
Inf proof: 216
Explored 19315 nodes (241002 simplex iterations) in 30.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.886257
Optimal solution found (tolerance 1.00e-02)
Best objective 8.862565190131e-01, best bound 8.940903518285e-01, gap 0.8839%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyf1u9kar.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwd_g4sab.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.871235
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.422011e+00, 974 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42201 0 79 0.87124 1.42201 63.2% - 0s
0 0 1.39738 0 104 0.87124 1.39738 60.4% - 0s
0 0 1.38852 0 105 0.87124 1.38852 59.4% - 0s
0 0 1.38085 0 111 0.87124 1.38085 58.5% - 0s
0 0 1.38024 0 113 0.87124 1.38024 58.4% - 0s
0 0 1.36997 0 119 0.87124 1.36997 57.2% - 0s
0 0 1.36729 0 120 0.87124 1.36729 56.9% - 0s
0 0 1.35047 0 123 0.87124 1.35047 55.0% - 0s
0 0 1.35025 0 127 0.87124 1.35025 55.0% - 0s
0 0 1.34176 0 126 0.87124 1.34176 54.0% - 0s
0 0 1.34161 0 127 0.87124 1.34161 54.0% - 0s
0 0 1.34131 0 131 0.87124 1.34131 54.0% - 0s
0 0 1.34010 0 132 0.87124 1.34010 53.8% - 0s
0 0 1.33968 0 129 0.87124 1.33968 53.8% - 0s
0 0 1.33968 0 130 0.87124 1.33968 53.8% - 0s
0 0 1.33968 0 130 0.87124 1.33968 53.8% - 0s
0 0 1.33968 0 130 0.87124 1.33968 53.8% - 0s
0 0 1.33965 0 122 0.87124 1.33965 53.8% - 0s
0 0 1.33965 0 121 0.87124 1.33965 53.8% - 0s
0 2 1.33965 0 119 0.87124 1.33965 53.8% - 0s
914 518 1.09080 26 90 0.87124 1.17835 35.3% 15.1 5s
4304 1230 1.02763 48 76 0.87124 1.04486 19.9% 13.5 10s
7606 1590 0.95754 72 59 0.87124 0.99325 14.0% 13.3 15s
H 7941 1697 0.8712415 0.98820 13.4% 13.3 16s
9775 1701 0.96283 50 65 0.87124 0.96502 10.8% 13.2 20s
13165 1623 infeasible 66 0.87124 0.93832 7.70% 13.1 25s
*16240 1272 85 0.8712785 0.91273 4.76% 13.0 29s
16392 1217 infeasible 36 0.87128 0.91019 4.47% 13.0 30s
19290 733 0.88402 76 22 0.87128 0.88963 2.11% 12.6 35s
Cutting planes:
Gomory: 61
Cover: 5
Implied bound: 31
Projected implied bound: 31
MIR: 20
Flow cover: 83
Flow path: 3
Inf proof: 220
Network: 1
Explored 20785 nodes (260479 simplex iterations) in 37.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.871279 0.871242 0.871235
Optimal solution found (tolerance 1.00e-02)
Best objective 8.712785334836e-01, best bound 8.791082109023e-01, gap 0.8986%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi48rn7c1.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7t_bckny.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.866237
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.407446e+00, 1007 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40745 0 86 0.86624 1.40745 62.5% - 0s
0 0 1.38395 0 114 0.86624 1.38395 59.8% - 0s
0 0 1.37550 0 114 0.86624 1.37550 58.8% - 0s
0 0 1.35263 0 115 0.86624 1.35263 56.1% - 0s
0 0 1.34964 0 123 0.86624 1.34964 55.8% - 0s
0 0 1.33980 0 122 0.86624 1.33980 54.7% - 0s
0 0 1.33819 0 122 0.86624 1.33819 54.5% - 0s
0 0 1.32067 0 125 0.86624 1.32067 52.5% - 0s
0 0 1.32058 0 125 0.86624 1.32058 52.5% - 0s
0 0 1.31102 0 133 0.86624 1.31102 51.3% - 0s
0 0 1.31077 0 125 0.86624 1.31077 51.3% - 0s
0 0 1.30937 0 133 0.86624 1.30937 51.2% - 0s
0 0 1.30937 0 133 0.86624 1.30937 51.2% - 0s
0 0 1.30878 0 132 0.86624 1.30878 51.1% - 0s
0 0 1.30878 0 132 0.86624 1.30878 51.1% - 0s
0 0 1.30878 0 121 0.86624 1.30878 51.1% - 0s
0 2 1.30878 0 121 0.86624 1.30878 51.1% - 0s
878 485 0.96809 33 93 0.86624 1.14591 32.3% 14.8 5s
4148 1480 0.94190 34 99 0.86624 1.05893 22.2% 14.3 10s
7699 1910 0.92652 66 62 0.86624 0.98959 14.2% 12.6 15s
12890 3330 0.91137 66 49 0.86624 0.95714 10.5% 11.1 20s
15389 3357 0.93868 73 61 0.86624 0.94714 9.34% 11.6 25s
18305 3104 0.92840 62 66 0.86624 0.93324 7.74% 12.3 30s
20731 2664 0.91516 71 61 0.86624 0.92109 6.33% 12.8 35s
23107 1906 cutoff 49 0.86624 0.90660 4.66% 13.2 40s
26164 644 cutoff 64 0.86624 0.88081 1.68% 13.4 45s
*26653 488 86 0.8662413 0.87787 1.34% 13.3 45s
Cutting planes:
Learned: 2
Gomory: 66
Cover: 8
Implied bound: 34
Projected implied bound: 25
Clique: 1
MIR: 27
Flow cover: 92
Flow path: 2
Inf proof: 239
Network: 1
Explored 27045 nodes (361750 simplex iterations) in 47.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.866241 0.866237
Optimal solution found (tolerance 1.00e-02)
Best objective 8.662412797583e-01, best bound 8.746231922036e-01, gap 0.9676%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4nvn4ms_.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2j8iyqmf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.852282
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.383781e+00, 1050 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38378 0 88 0.85228 1.38378 62.4% - 0s
0 0 1.36138 0 109 0.85228 1.36138 59.7% - 0s
0 0 1.35353 0 111 0.85228 1.35353 58.8% - 0s
0 0 1.33420 0 124 0.85228 1.33420 56.5% - 0s
0 0 1.33325 0 125 0.85228 1.33325 56.4% - 0s
0 0 1.32409 0 135 0.85228 1.32409 55.4% - 0s
0 0 1.32372 0 130 0.85228 1.32372 55.3% - 0s
0 0 1.31651 0 129 0.85228 1.31651 54.5% - 0s
0 0 1.31651 0 130 0.85228 1.31651 54.5% - 0s
0 0 1.31614 0 126 0.85228 1.31614 54.4% - 0s
0 0 1.31409 0 127 0.85228 1.31409 54.2% - 0s
0 0 1.31404 0 130 0.85228 1.31404 54.2% - 0s
0 0 1.31404 0 132 0.85228 1.31404 54.2% - 0s
0 0 1.31286 0 132 0.85228 1.31286 54.0% - 0s
0 0 1.31277 0 133 0.85228 1.31277 54.0% - 0s
0 0 1.31253 0 133 0.85228 1.31253 54.0% - 0s
0 0 1.31234 0 134 0.85228 1.31234 54.0% - 0s
0 0 1.31207 0 134 0.85228 1.31207 53.9% - 0s
0 0 1.31032 0 139 0.85228 1.31032 53.7% - 0s
0 0 1.30957 0 138 0.85228 1.30957 53.7% - 0s
0 0 1.30931 0 136 0.85228 1.30931 53.6% - 0s
0 0 1.30922 0 135 0.85228 1.30922 53.6% - 0s
0 0 1.30922 0 135 0.85228 1.30922 53.6% - 0s
0 0 1.30922 0 127 0.85228 1.30922 53.6% - 0s
0 2 1.30922 0 126 0.85228 1.30922 53.6% - 0s
2022 792 1.03389 40 95 0.85228 1.13814 33.5% 10.3 5s
6207 2272 0.91432 76 63 0.85228 1.03210 21.1% 9.3 10s
H 6681 2402 0.8522822 1.02671 20.5% 9.4 11s
9763 2765 0.94393 68 73 0.85228 0.98965 16.1% 9.0 15s
14758 2817 0.91399 90 54 0.85228 0.93712 10.0% 8.7 20s
18228 2665 0.86136 83 50 0.85228 0.91140 6.94% 8.8 25s
H19435 2736 0.8522822 0.90583 6.28% 8.8 27s
21267 2518 0.87215 84 36 0.85228 0.89541 5.06% 8.8 30s
25739 1185 0.86161 123 26 0.85228 0.87307 2.44% 8.9 35s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 12
MIR: 6
Flow cover: 31
Flow path: 1
Inf proof: 3
Explored 27589 nodes (243616 simplex iterations) in 37.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.852282 0.852282 0.852282
Optimal solution found (tolerance 1.00e-02)
Best objective 8.522822408067e-01, best bound 8.597458386456e-01, gap 0.8757%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkj515d4z.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpor83c5ne.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.842701
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.389576e+00, 1009 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38958 0 87 0.84270 1.38958 64.9% - 0s
0 0 1.37213 0 95 0.84270 1.37213 62.8% - 0s
0 0 1.36411 0 95 0.84270 1.36411 61.9% - 0s
0 0 1.31701 0 124 0.84270 1.31701 56.3% - 0s
0 0 1.31671 0 124 0.84270 1.31671 56.2% - 0s
0 0 1.31078 0 124 0.84270 1.31078 55.5% - 0s
0 0 1.30980 0 129 0.84270 1.30980 55.4% - 0s
0 0 1.29263 0 127 0.84270 1.29263 53.4% - 0s
0 0 1.29244 0 129 0.84270 1.29244 53.4% - 0s
0 0 1.28788 0 127 0.84270 1.28788 52.8% - 0s
0 0 1.28766 0 131 0.84270 1.28766 52.8% - 0s
0 0 1.28709 0 131 0.84270 1.28709 52.7% - 0s
0 0 1.28709 0 131 0.84270 1.28709 52.7% - 0s
0 0 1.28625 0 131 0.84270 1.28625 52.6% - 0s
0 0 1.28613 0 131 0.84270 1.28613 52.6% - 0s
0 0 1.28497 0 133 0.84270 1.28497 52.5% - 0s
0 0 1.28473 0 134 0.84270 1.28473 52.5% - 0s
0 0 1.28401 0 132 0.84270 1.28401 52.4% - 0s
0 0 1.28401 0 132 0.84270 1.28401 52.4% - 0s
0 0 1.28401 0 118 0.84270 1.28401 52.4% - 0s
0 2 1.28401 0 118 0.84270 1.28401 52.4% - 0s
781 484 1.20339 13 133 0.84270 1.21170 43.8% 14.2 5s
* 1393 565 157 0.8436910 1.18561 40.5% 14.7 7s
2560 800 0.93722 60 82 0.84369 1.10735 31.3% 13.4 10s
5997 1446 infeasible 66 0.84369 1.01118 19.9% 12.2 15s
H 6057 1448 0.8458674 1.00949 19.3% 12.2 15s
H 6085 1453 0.8458674 1.00949 19.3% 12.2 15s
11357 2563 infeasible 64 0.84587 0.95901 13.4% 10.7 20s
14148 3028 0.85775 66 61 0.84587 0.94739 12.0% 11.1 25s
17475 3121 infeasible 66 0.84587 0.93074 10.0% 11.8 30s
19739 2917 cutoff 64 0.84587 0.91901 8.65% 12.5 35s
22242 2437 cutoff 54 0.84587 0.90477 6.96% 13.2 40s
24587 1708 cutoff 76 0.84587 0.88747 4.92% 13.7 45s
27515 475 cutoff 60 0.84587 0.86476 2.23% 13.9 50s
Cutting planes:
Learned: 1
Gomory: 52
Cover: 4
Implied bound: 46
Projected implied bound: 50
Clique: 1
MIR: 28
Flow cover: 115
Flow path: 4
Inf proof: 314
Network: 1
Explored 28301 nodes (393524 simplex iterations) in 51.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.845867 0.845867 0.843691 0.842701
Optimal solution found (tolerance 1.00e-02)
Best objective 8.458673817132e-01, best bound 8.531629769945e-01, gap 0.8625%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj4zv6ap8.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcd6vm8he.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.837757
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.366179e+00, 1203 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36618 0 87 0.83776 1.36618 63.1% - 0s
0 0 1.34619 0 123 0.83776 1.34619 60.7% - 0s
0 0 1.33831 0 124 0.83776 1.33831 59.7% - 0s
0 0 1.32143 0 142 0.83776 1.32143 57.7% - 0s
0 0 1.32114 0 141 0.83776 1.32114 57.7% - 0s
0 0 1.31458 0 130 0.83776 1.31458 56.9% - 0s
0 0 1.31417 0 132 0.83776 1.31417 56.9% - 0s
0 0 1.30029 0 132 0.83776 1.30029 55.2% - 0s
0 0 1.29885 0 133 0.83776 1.29885 55.0% - 0s
0 0 1.29176 0 133 0.83776 1.29176 54.2% - 0s
0 0 1.29072 0 140 0.83776 1.29072 54.1% - 0s
0 0 1.28983 0 137 0.83776 1.28983 54.0% - 0s
0 0 1.28982 0 137 0.83776 1.28982 54.0% - 0s
0 0 1.28981 0 135 0.83776 1.28981 54.0% - 0s
0 0 1.28981 0 122 0.83776 1.28981 54.0% - 0s
0 2 1.28981 0 122 0.83776 1.28981 54.0% - 0s
781 508 infeasible 15 0.83776 1.19256 42.4% 16.3 5s
3188 1105 infeasible 44 0.83776 1.07303 28.1% 15.5 10s
H 3276 1129 0.8387777 1.06890 27.4% 15.5 11s
H 3286 1135 0.8406507 1.06890 27.2% 15.5 11s
5404 1676 0.95859 43 72 0.84065 1.03140 22.7% 15.0 15s
10552 3021 infeasible 56 0.84065 0.97711 16.2% 12.5 20s
*12000 3273 112 0.8415778 0.96728 14.9% 12.4 21s
13929 3546 0.87083 52 67 0.84158 0.95475 13.4% 12.3 25s
16442 3863 0.85534 87 40 0.84158 0.93969 11.7% 12.4 30s
H16670 3922 0.8424758 0.93886 11.4% 12.5 30s
19656 3979 infeasible 78 0.84248 0.92330 9.59% 12.9 35s
22486 3587 0.89284 58 63 0.84248 0.90475 7.39% 13.2 40s
25254 3258 0.85996 67 41 0.84248 0.89158 5.83% 13.4 45s
27787 2367 infeasible 61 0.84248 0.87808 4.23% 13.9 50s
30471 1053 infeasible 65 0.84248 0.86215 2.34% 14.0 55s
Cutting planes:
Learned: 1
Gomory: 57
Cover: 6
Implied bound: 63
Projected implied bound: 32
Clique: 2
MIR: 18
Flow cover: 94
Inf proof: 291
Explored 31947 nodes (449423 simplex iterations) in 57.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.842476 0.841578 0.840651 ... 0.837757
Optimal solution found (tolerance 1.00e-02)
Best objective 8.424757813460e-01, best bound 8.496911550151e-01, gap 0.8564%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxldi0z71.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcrbj1wpq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.83596
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.359332e+00, 1255 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35933 0 89 0.83596 1.35933 62.6% - 0s
0 0 1.34129 0 96 0.83596 1.34129 60.4% - 0s
0 0 1.33414 0 98 0.83596 1.33414 59.6% - 0s
0 0 1.30627 0 133 0.83596 1.30627 56.3% - 0s
0 0 1.30302 0 125 0.83596 1.30302 55.9% - 0s
0 0 1.29330 0 134 0.83596 1.29330 54.7% - 0s
0 0 1.29320 0 141 0.83596 1.29320 54.7% - 0s
0 0 1.28539 0 137 0.83596 1.28539 53.8% - 0s
0 0 1.28511 0 137 0.83596 1.28511 53.7% - 0s
0 0 1.28468 0 139 0.83596 1.28468 53.7% - 0s
0 0 1.28468 0 139 0.83596 1.28468 53.7% - 0s
0 0 1.28335 0 142 0.83596 1.28335 53.5% - 0s
0 0 1.28230 0 145 0.83596 1.28230 53.4% - 0s
0 0 1.28229 0 149 0.83596 1.28229 53.4% - 0s
0 0 1.28229 0 149 0.83596 1.28229 53.4% - 0s
0 0 1.28229 0 149 0.83596 1.28229 53.4% - 0s
0 0 1.28229 0 142 0.83596 1.28229 53.4% - 0s
0 2 1.28229 0 139 0.83596 1.28229 53.4% - 0s
797 474 1.17543 11 139 0.83596 1.17543 40.6% 16.4 5s
H 2266 755 0.8369611 1.11179 32.8% 16.6 10s
5008 1845 0.94239 26 109 0.83696 1.06829 27.6% 16.4 15s
9002 1724 0.92250 69 94 0.83696 0.95379 14.0% 14.0 20s
13861 2837 infeasible 90 0.83696 0.92939 11.0% 12.7 25s
H15345 3160 0.8369611 0.92280 10.3% 12.5 27s
15787 3179 0.90329 82 54 0.83696 0.92115 10.1% 12.6 31s
17898 3136 infeasible 53 0.83696 0.90941 8.66% 13.0 35s
20647 2991 cutoff 72 0.83696 0.89836 7.34% 13.5 40s
22969 2536 infeasible 73 0.83696 0.88663 5.93% 14.0 45s
25230 1863 infeasible 115 0.83696 0.87399 4.42% 14.3 50s
27932 499 infeasible 92 0.83696 0.85136 1.72% 14.6 55s
Cutting planes:
Learned: 1
Gomory: 62
Cover: 3
Implied bound: 37
Projected implied bound: 40
MIR: 33
Flow cover: 126
Flow path: 2
Inf proof: 321
Explored 28574 nodes (418712 simplex iterations) in 56.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.836961 0.836961 0.83596
Optimal solution found (tolerance 1.00e-02)
Best objective 8.369611277490e-01, best bound 8.451763425653e-01, gap 0.9816%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdbs94dni.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1b9m3vy8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.825889
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.342416e+00, 1182 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34242 0 86 0.82589 1.34242 62.5% - 0s
0 0 1.32529 0 94 0.82589 1.32529 60.5% - 0s
0 0 1.31780 0 94 0.82589 1.31780 59.6% - 0s
0 0 1.29027 0 123 0.82589 1.29027 56.2% - 0s
0 0 1.29018 0 123 0.82589 1.29018 56.2% - 0s
0 0 1.28154 0 129 0.82589 1.28154 55.2% - 0s
0 0 1.27968 0 133 0.82589 1.27968 54.9% - 0s
0 0 1.26450 0 132 0.82589 1.26450 53.1% - 0s
0 0 1.26437 0 133 0.82589 1.26437 53.1% - 0s
0 0 1.25622 0 133 0.82589 1.25622 52.1% - 0s
0 0 1.25589 0 136 0.82589 1.25589 52.1% - 0s
0 0 1.25338 0 142 0.82589 1.25338 51.8% - 0s
0 0 1.25175 0 139 0.82589 1.25175 51.6% - 0s
0 0 1.25175 0 140 0.82589 1.25175 51.6% - 0s
0 0 1.25175 0 140 0.82589 1.25175 51.6% - 0s
0 0 1.25175 0 124 0.82589 1.25175 51.6% - 0s
0 2 1.25175 0 124 0.82589 1.25175 51.6% - 0s
745 499 1.14846 9 136 0.82589 1.16247 40.8% 13.6 5s
* 1327 602 182 0.8282054 1.14531 38.3% 16.9 8s
2134 616 infeasible 42 0.82821 1.08890 31.5% 16.1 10s
H 3637 780 0.8294332 1.01562 22.4% 15.1 14s
H 3640 780 0.8300262 1.01367 22.1% 15.2 14s
H 3641 780 0.8302164 1.01367 22.1% 15.1 14s
3854 774 0.93520 61 95 0.83022 1.00435 21.0% 14.9 15s
7814 1944 0.86795 56 87 0.83022 0.94723 14.1% 12.2 20s
11881 2909 infeasible 75 0.83022 0.92554 11.5% 11.8 25s
14932 3102 0.83866 77 63 0.83022 0.90796 9.36% 12.5 30s
H16423 3176 0.8302976 0.90117 8.54% 12.8 33s
16717 3180 0.85531 86 57 0.83030 0.89911 8.29% 12.9 35s
18955 2913 cutoff 87 0.83030 0.88474 6.56% 13.5 40s
21337 2469 infeasible 50 0.83030 0.87242 5.07% 14.0 45s
23851 1681 infeasible 72 0.83030 0.86015 3.59% 14.3 50s
26450 398 0.84103 129 33 0.83030 0.84153 1.35% 14.6 55s
Cutting planes:
Learned: 1
Gomory: 40
Cover: 4
Implied bound: 37
Projected implied bound: 57
Clique: 1
MIR: 28
Flow cover: 124
Flow path: 3
Inf proof: 340
Explored 26959 nodes (394479 simplex iterations) in 55.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.830298 0.830216 0.830026 ... 0.825889
Optimal solution found (tolerance 1.00e-02)
Best objective 8.302976187113e-01, best bound 8.372795237799e-01, gap 0.8409%
Run 7
Seed for training 246
Seed for simulation 219
direc: array([[-2.99423479, 0. , 2.01981394],
[ 0. , 1. , 0. ],
[ 0.5688828 , 35.22379704, 66.13793538]])
fopt: 0.7701919217350317
fun: -0.770122387069536
message: 'Optimization terminated successfully.'
nfev: 515
nit: 6
status: 0
success: True
x: array([160.08822597, 37. , 214.00001823])
xopt: array([160., 37., 214.])
zopt: array([160., 197., 411.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp13qbek4i.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg20gnat5.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.770192
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.375402e+00, 1070 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37540 0 88 0.77019 1.37540 78.6% - 0s
0 0 1.35600 0 92 0.77019 1.35600 76.1% - 0s
0 0 1.35374 0 89 0.77019 1.35374 75.8% - 0s
0 0 1.35167 0 89 0.77019 1.35167 75.5% - 0s
0 0 1.34785 0 104 0.77019 1.34785 75.0% - 0s
0 0 1.34059 0 95 0.77019 1.34059 74.1% - 0s
0 0 1.33458 0 114 0.77019 1.33458 73.3% - 0s
0 0 1.32997 0 115 0.77019 1.32997 72.7% - 0s
0 0 1.32996 0 114 0.77019 1.32996 72.7% - 0s
0 0 1.32698 0 122 0.77019 1.32698 72.3% - 0s
0 0 1.32654 0 125 0.77019 1.32654 72.2% - 0s
0 0 1.32610 0 118 0.77019 1.32610 72.2% - 0s
0 0 1.32402 0 117 0.77019 1.32402 71.9% - 0s
0 0 1.32211 0 130 0.77019 1.32211 71.7% - 0s
0 0 1.32175 0 124 0.77019 1.32175 71.6% - 0s
0 0 1.32042 0 121 0.77019 1.32042 71.4% - 0s
0 0 1.32024 0 123 0.77019 1.32024 71.4% - 0s
0 0 1.31975 0 117 0.77019 1.31975 71.4% - 0s
0 0 1.31961 0 122 0.77019 1.31961 71.3% - 0s
0 0 1.31961 0 124 0.77019 1.31961 71.3% - 0s
0 0 1.31961 0 123 0.77019 1.31961 71.3% - 0s
0 0 1.31961 0 115 0.77019 1.31961 71.3% - 0s
0 2 1.31961 0 115 0.77019 1.31961 71.3% - 0s
787 524 1.20291 14 120 0.77019 1.23104 59.8% 23.7 5s
1692 686 1.10181 24 145 0.77019 1.14419 48.6% 27.1 10s
H 1700 658 0.8230533 1.14419 39.0% 27.1 10s
3556 1117 0.84622 33 135 0.82305 1.07232 30.3% 23.3 15s
5708 1417 0.96740 31 116 0.82305 1.01319 23.1% 22.3 20s
8312 1655 infeasible 62 0.82305 0.93762 13.9% 19.7 25s
*10001 2028 131 0.8273220 0.91911 11.1% 18.1 27s
*10532 2078 121 0.8292269 0.91195 10.0% 17.7 29s
10990 2212 infeasible 58 0.82923 0.90937 9.66% 17.4 30s
*11502 2241 132 0.8296422 0.90667 9.28% 17.1 31s
*11619 2227 129 0.8300362 0.90667 9.23% 16.9 31s
14334 2960 infeasible 79 0.83004 0.89663 8.02% 15.7 35s
16267 2852 infeasible 70 0.83004 0.88722 6.89% 15.6 40s
18730 2436 0.86709 54 56 0.83004 0.87206 5.06% 15.7 45s
21376 1622 infeasible 72 0.83004 0.86015 3.63% 15.9 50s
24145 108 0.83104 95 17 0.83004 0.83185 0.22% 15.8 55s
Cutting planes:
Learned: 2
Gomory: 63
Cover: 7
Implied bound: 42
Projected implied bound: 64
MIR: 41
Flow cover: 156
Flow path: 2
Inf proof: 265
Explored 24294 nodes (384104 simplex iterations) in 55.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.830036 0.829642 0.829227 ... 0.770192
Optimal solution found (tolerance 0.00e+00)
Best objective 8.300362381248e-01, best bound 8.300362381248e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi5h2ebro.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp903ndofe.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 572 rows and 427 columns
Presolve time: 0.01s
Presolved: 374 rows, 384 columns, 1599 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.3226587e+02 6.597564e+03 0.000000e+00 0s
257 1.3376425e+01 0.000000e+00 0.000000e+00 0s
Solved in 257 iterations and 0.01 seconds
Optimal objective 1.337642547e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.09826441, 0.01393968, 0.01393968]])
fopt: 1.549465605952744
fun: -1.5572122496871588
message: 'Optimization terminated successfully.'
nfev: 145
nit: 2
status: 0
success: True
x: array([15.00000217, -0.99991384, -0.99991384])
xopt: array([15., 0., 0.])
zopt: array([15., 15., 15.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.73504733e-03, 1.32967681e-04, 1.31269962e-04]])
fopt: 1.2431142201667045
fun: -1.2523549449412403
message: 'Optimization terminated successfully.'
nfev: 157
nit: 2
status: 0
success: True
x: array([42.13578849, -0.99999465, -0.98689521])
xopt: array([42., 0., 0.])
zopt: array([42., 42., 42.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.04456098, 0.00148094, 0.06663166]])
fopt: 1.438876770478378
fun: -1.4542992448791339
message: 'Optimization terminated successfully.'
nfev: 144
nit: 2
status: 0
success: True
x: array([ 61.13484878, -0.99851906, -87.98802283])
xopt: array([61., 0., 0.])
zopt: array([61., 61., 61.])
*******************************************
Period: 4
direc: array([[ 7.60362137e-01, -1.85997835e-02, -1.87208118e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.16972740e-04, -5.30753149e-06, -9.32808980e-02]])
fopt: 1.5717488472698151
fun: -1.5868093768074043
message: 'Optimization terminated successfully.'
nfev: 281
nit: 4
status: 0
success: True
x: array([83.00072544, -1.89442449, -0.88026318])
xopt: array([83., 0., 0.])
zopt: array([83., 83., 83.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.37473664e-04, -5.67631306e-06, -5.27552760e-17]])
fopt: 1.4101718568060362
fun: -1.411694608998034
message: 'Optimization terminated successfully.'
nfev: 289
nit: 3
status: 0
success: True
x: array([105.80824887, 2.02344726, 1. ])
xopt: array([105., 2., 1.])
zopt: array([105., 107., 108.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1497
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1481
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.57776661, -0.19408078, 0.02706795]])
fopt: 0.9227237090955871
fun: -0.9265206622169165
message: 'Optimization terminated successfully.'
nfev: 329
nit: 4
status: 0
success: True
x: array([105.44427399, 37.00234592, -5.75193632])
xopt: array([105., 37., 0.])
zopt: array([105., 142., 142.])
*******************************************
Period: 9
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.6914081819572225
fun: -0.6930235500574131
message: 'Optimization terminated successfully.'
nfev: 265
nit: 2
status: 0
success: True
x: array([154.50468087, 2.02431395, 1. ])
xopt: array([154., 2., 1.])
zopt: array([154., 156., 157.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.93968141e-01, -4.69130839e-04, -5.08034572e-04]])
fopt: 0.6612547267426415
fun: -0.6612162455332389
message: 'Optimization terminated successfully.'
nfev: 190
nit: 2
status: 0
success: True
x: array([170.98257073, 1.13425647, 1.11899223])
xopt: array([170., 2., 1.])
zopt: array([170., 172., 173.])
*******************************************
Period: 11
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.72786703e-03, -4.02896469e-07, -7.57819404e-08]])
fopt: 0.6858579069909633
fun: -0.6881071256590021
message: 'Optimization terminated successfully.'
nfev: 450
nit: 4
status: 0
success: True
x: array([190.22168514, 1.03296755, 1.004914 ])
xopt: array([190., 1., 1.])
zopt: array([190., 191., 192.])
*******************************************
Period: 12
direc: array([[1.03306777e+00, 5.44959988e-03, 1.08991999e-02],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.62823479e+00, 4.56969064e+00, 9.09120926e+00]])
fopt: 0.6795938301272632
fun: -0.677294645711982
message: 'Optimization terminated successfully.'
nfev: 614
nit: 6
status: 0
success: True
x: array([191.98870072, 11.17062591, 14.04677432])
xopt: array([191., 11., 15.])
zopt: array([191., 202., 217.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.525152154311004
fun: -0.5284738454953414
message: 'Optimization terminated successfully.'
nfev: 333
nit: 3
status: 0
success: True
x: array([2.33015153e+02, 1.49390040e-08, 1.00000116e+00])
xopt: array([233., 0., 1.])
zopt: array([233., 233., 234.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4877276768555732
fun: -0.48712910706068696
message: 'Optimization terminated successfully.'
nfev: 354
nit: 4
status: 0
success: True
x: array([247.99890556, 1.00698827, 2.06987494])
xopt: array([247., 1., 3.])
zopt: array([247., 248., 251.])
*******************************************
Period: 15
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-152.39435177, 41.05167542, 82.51440319]])
fopt: 0.8835847108050359
fun: -0.882528825121891
message: 'Optimization terminated successfully.'
nfev: 601
nit: 8
status: 0
success: True
x: array([120.99888978, 50.00098333, 95.59631017])
xopt: array([120., 51., 95.])
zopt: array([120., 171., 266.])
*******************************************
Period: 16
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.36074970883933194
fun: -0.3584178855496305
message: 'Optimization terminated successfully.'
nfev: 240
nit: 3
status: 0
success: True
x: array([284.99996786, 2.18611588, 1.36488191])
xopt: array([284., 2., 2.])
zopt: array([284., 286., 288.])
*******************************************
Period: 17
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 2.75250608, 5.6030509 ]])
fopt: 0.4301964978375769
fun: -0.4289569361674015
message: 'Optimization terminated successfully.'
nfev: 445
nit: 7
status: 0
success: True
x: array([248.82240266, 46.0019477 , 12.08913521])
xopt: array([248., 46., 13.])
zopt: array([248., 294., 307.])
*******************************************
Period: 18
direc: array([[-1.77755754e+02, 8.62914627e+01, 1.73588099e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.67253114e-02, -7.55023270e+00, -1.42042085e+01]])
fopt: 0.8957539327997107
fun: -0.8935473347466304
message: 'Optimization terminated successfully.'
nfev: 527
nit: 8
status: 0
success: True
x: array([116.6741646 , 69.00339522, 145.5418455 ])
xopt: array([116., 70., 145.])
zopt: array([116., 186., 331.])
*******************************************
Period: 19
direc: array([[ 1. , 0. , 0. ],
[-52.60112618, 31.80601971, 60.84240386],
[ 0.36198919, -13.84056527, -8.32587438]])
fopt: 0.869104753736001
fun: -0.8669146309832869
message: 'Optimization terminated successfully.'
nfev: 557
nit: 8
status: 0
success: True
x: array([103.99999943, 82. , 170.5132235 ])
xopt: array([103., 83., 170.])
zopt: array([103., 186., 356.])
*******************************************
Period: 20
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-62.76564318, 60.67585528, 40.45057019]])
fopt: 0.780379495161085
fun: -0.7795655027878454
message: 'Optimization terminated successfully.'
nfev: 441
nit: 7
status: 0
success: True
x: array([ 82.99167013, 161.00070733, 125.00021899])
xopt: array([ 82., 161., 126.])
zopt: array([ 82., 243., 369.])
*******************************************
Period: 21
direc: array([[-15.08467098, 13.98523236, 18.70988117],
[ 0. , 1. , 0. ],
[ -2.59175863, 5.80601103, 7.40814211]])
fopt: 0.8369949253077198
fun: -0.8367450904958137
message: 'Optimization terminated successfully.'
nfev: 568
nit: 8
status: 0
success: True
x: array([ 82.8767163 , 112. , 189.01965033])
xopt: array([ 83., 112., 189.])
zopt: array([ 83., 195., 384.])
*******************************************
Period: 22
direc: array([[-216.12865068, 107.7597118 , 263.14424301],
[ 0. , 1. , 0. ],
[ 28.887079 , -27.94177568, -68.08694264]])
fopt: 0.8181842327795277
fun: -0.817669213624034
message: 'Optimization terminated successfully.'
nfev: 523
nit: 8
status: 0
success: True
x: array([128.14524443, 56.00000149, 203. ])
xopt: array([128., 56., 203.])
zopt: array([128., 184., 387.])
*******************************************
Period: 23
direc: array([[ -0.33126706, 2.00000003, 4.05533038],
[ 0. , 1. , 0. ],
[-203.82951767, 55.08647348, 98.27609463]])
fopt: 0.866797081061552
fun: -0.8658947599595881
message: 'Optimization terminated successfully.'
nfev: 481
nit: 7
status: 0
success: True
x: array([ 91.61893805, 103. , 187.09071557])
xopt: array([ 92., 103., 187.])
zopt: array([ 92., 195., 382.])
*******************************************
Period: 24
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-253.95751336, 167.32353151, 111.54902101]])
fopt: 0.7351113182882028
fun: -0.7329888889434751
message: 'Optimization terminated successfully.'
nfev: 398
nit: 7
status: 0
success: True
x: array([ 82.00625031, 175.00000003, 118.46951062])
xopt: array([ 82., 175., 119.])
zopt: array([ 82., 257., 376.])
*******************************************
Period: 25
direc: array([[ 1. , 0. , 0. ],
[-44.43187655, 26.22410342, 51.70529175],
[ 5.8385339 , -20.10394382, -13.15327211]])
fopt: 0.7957698015031874
fun: -0.7941466990604573
message: 'Optimization terminated successfully.'
nfev: 474
nit: 7
status: 0
success: True
x: array([132.99995955, 57.12490647, 188. ])
xopt: array([132., 58., 188.])
zopt: array([132., 190., 378.])
*******************************************
Period: 26
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-10.13365312, 13.32633154, 21.92462589]])
fopt: 0.8143494841256455
fun: -0.8137298731169295
message: 'Optimization terminated successfully.'
nfev: 425
nit: 7
status: 0
success: True
x: array([ 91.99999001, 103. , 183.31057451])
xopt: array([ 92., 103., 183.])
zopt: array([ 92., 195., 378.])
*******************************************
Period: 27
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-10.71875686, 4.12859185, 8.87637831]])
fopt: 0.7621184213990299
fun: -0.7603221647959605
message: 'Optimization terminated successfully.'
nfev: 315
nit: 5
status: 0
success: True
x: array([ 91.99999824, 98. , 207.92766339])
xopt: array([ 92., 98., 207.])
zopt: array([ 92., 190., 397.])
*******************************************
Period: 28
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-11.63536192, 4.06095436, 8.86596931]])
fopt: 0.7629011684336624
fun: -0.7620392382500526
message: 'Optimization terminated successfully.'
nfev: 755
nit: 11
status: 0
success: True
x: array([ 92. , 98. , 195.22319538])
xopt: array([ 92., 98., 196.])
zopt: array([ 92., 190., 386.])
*******************************************
Period: 29
direc: array([[-1.66335215e-02, -9.40181450e-03, 9.95447184e-04],
[-7.18196758e+01, 1.30430385e+01, 2.26682198e+01],
[-2.67266277e+01, 4.01015254e+01, 6.98173028e+01]])
fopt: 0.7432239107339412
fun: -0.7429347848269228
message: 'Optimization terminated successfully.'
nfev: 540
nit: 8
status: 0
success: True
x: array([ 90.69914653, 105. , 184.04428317])
xopt: array([ 91., 105., 184.])
zopt: array([ 91., 196., 380.])
*******************************************
Period: 30
direc: array([[-122.91465965, 22.01062996, 40.91291239],
[ 0. , 1. , 0. ],
[ -26.31011337, 31.07935148, 53.14587369]])
fopt: 0.7248604116066528
fun: -0.7230724211971615
message: 'Optimization terminated successfully.'
nfev: 450
nit: 7
status: 0
success: True
x: array([ 91.09107014, 104. , 184.61134139])
xopt: array([ 92., 104., 185.])
zopt: array([ 92., 196., 381.])
*******************************************
Period: 31
direc: array([[-45.36199832, 11.31131477, 15.12154668],
[ 0. , 1. , 0. ],
[ -5.57467122, 19.25879136, 20.88007753]])
fopt: 0.6899612472762787
fun: -0.688606918827201
message: 'Optimization terminated successfully.'
nfev: 654
nit: 10
status: 0
success: True
x: array([ 83.93005548, 131. , 163.1630389 ])
xopt: array([ 83., 131., 164.])
zopt: array([ 83., 214., 378.])
*******************************************
Period: 32
direc: array([[-74.29331098, -74.89364187, 300.59991925],
[ 0. , 1. , 0. ],
[-25.93496346, 26.30868398, -77.89645143]])
fopt: 0.5072394078132361
fun: -0.6153752823747616
message: 'Optimization terminated successfully.'
nfev: 473
nit: 7
status: 0
success: True
x: array([226.60326297, -38.60266693, 206.00000261])
xopt: array([226., 0., 206.])
zopt: array([226., 226., 432.])
*******************************************
Period: 33
direc: array([[-6.60004223e-03, 0.00000000e+00, 1.00000000e+00],
[-1.85619935e+02, 0.00000000e+00, 1.83476838e+02],
[-7.93280981e-02, 1.20901701e+01, 1.20897079e+01]])
fopt: 0.669322141219984
fun: -0.6688664794737701
message: 'Optimization terminated successfully.'
nfev: 729
nit: 8
status: 0
success: True
x: array([175.20491973, 16.05464114, 207.0000004 ])
xopt: array([175., 16., 207.])
zopt: array([175., 191., 398.])
*******************************************
Period: 34
direc: array([[-2.73661579e+00, 0.00000000e+00, 2.03030561e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.60947001e-02, 2.00034499e+01, 5.60612572e+01]])
fopt: 0.6778515420451355
fun: -0.6769592048156575
message: 'Optimization terminated successfully.'
nfev: 712
nit: 9
status: 0
success: True
x: array([165.8637823 , 24.00000003, 205. ])
xopt: array([165., 25., 205.])
zopt: array([165., 190., 395.])
*******************************************
Period: 35
direc: array([[11.60487617, 1.2947689 , -5.24066308],
[ 0. , 1. , 0. ],
[ 7.32975173, 8.0530919 , 5.44670473]])
fopt: 0.6668100598734019
fun: -0.6647789025677964
message: 'Optimization terminated successfully.'
nfev: 652
nit: 9
status: 0
success: True
x: array([158.99629049, 38.00028576, 181.26877763])
xopt: array([158., 39., 182.])
zopt: array([158., 197., 379.])
*******************************************
Period: 36
direc: array([[-193.10450759, 0. , 151.09125341],
[ 0. , 1. , 0. ],
[ 0.60931762, 18.13431861, 36.25190948]])
fopt: 0.6680161557717269
fun: -0.6674435857906815
message: 'Optimization terminated successfully.'
nfev: 659
nit: 8
status: 0
success: True
x: array([162.44623723, 28.00151804, 207. ])
xopt: array([162., 28., 207.])
zopt: array([162., 190., 397.])
*******************************************
Period: 37
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-2.90906047, 3.00004313, 5.0008738 ]])
fopt: 0.6601007922888146
fun: -0.6604094002534913
message: 'Optimization terminated successfully.'
nfev: 740
nit: 10
status: 0
success: True
x: array([176.1943069 , 14.00113618, 230.00000395])
xopt: array([176., 14., 230.])
zopt: array([176., 190., 420.])
*******************************************
Period: 38
direc: array([[-3.11733352e-01, 2.66800488e-05, 1.00000000e+00],
[-1.87304647e+02, 4.27286177e-05, 1.61371071e+02],
[-5.94355030e+00, 2.01589202e+01, 1.95511910e+01]])
fopt: 0.6789763276953152
fun: -0.6770966090656012
message: 'Optimization terminated successfully.'
nfev: 635
nit: 9
status: 0
success: True
x: array([146.18534667, 40.04509451, 228. ])
xopt: array([147., 41., 228.])
zopt: array([147., 188., 416.])
*******************************************
Period: 39
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-2.74924901, 3. , 3. ]])
fopt: 0.2900615834336295
fun: -0.2888599639994374
message: 'Optimization terminated successfully.'
nfev: 409
nit: 5
status: 0
success: True
x: array([356.74505769, 12. , 13. ])
xopt: array([356., 12., 13.])
zopt: array([356., 368., 381.])
*******************************************
Period: 40
direc: array([[ 0.00000000e+00, 5.50231750e+01, 0.00000000e+00],
[-5.23613662e+01, 1.70000096e+01, 1.40000096e+01],
[ 5.85376304e-08, -1.11497795e-08, -1.11629042e-08]])
fopt: 0.589588483835924
fun: -0.5892646227433617
message: 'Optimization terminated successfully.'
nfev: 1040
nit: 12
status: 0
success: True
x: array([ 89.33990774, 216.00004214, 76.12981414])
xopt: array([ 89., 216., 77.])
zopt: array([ 89., 305., 382.])
*******************************************
Period: 41
direc: array([[-2.69064353e+02, 1.73856719e+02, 1.73285842e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 6.94442938e-15, -1.84264198e-09]])
fopt: 0.6259991022593239
fun: -0.6254798024473893
message: 'Optimization terminated successfully.'
nfev: 555
nit: 7
status: 0
success: True
x: array([ 89.67053043, 178.00099128, 151.00086283])
xopt: array([ 89., 178., 152.])
zopt: array([ 89., 267., 419.])
*******************************************
Period: 42
direc: array([[-13.93036254, 6.0508736 , 6.0508736 ],
[ 0. , 1. , 0. ],
[ 0.1648179 , 21.17561149, 21.06442347]])
fopt: 0.6363979170753857
fun: -0.6357818342626875
message: 'Optimization terminated successfully.'
nfev: 478
nit: 7
status: 0
success: True
x: array([ 81.85027638, 150.00001503, 150. ])
xopt: array([ 82., 150., 151.])
zopt: array([ 82., 232., 383.])
*******************************************
Period: 43
direc: array([[-1.53611687e+01, 7.07735787e+00, 7.07735787e+00],
[-1.07519484e-06, -5.59182285e-05, -1.24145179e-04],
[-1.76559671e-02, 9.86841117e-01, 8.11853342e-03]])
fopt: 0.5921848912927883
fun: -0.5861363184746616
message: 'Optimization terminated successfully.'
nfev: 865
nit: 12
status: 0
success: True
x: array([ 82.2702651 , 141.00000103, 136.01547046])
xopt: array([ 83., 142., 137.])
zopt: array([ 83., 225., 362.])
*******************************************
Period: 44
direc: array([[-9.9797509 , 4.02662098, 4.02662098],
[ 0. , 1. , 0. ],
[32.97332914, -2.35723971, 23.24573578]])
fopt: 0.6342032761370868
fun: -0.6332550538740366
message: 'Optimization terminated successfully.'
nfev: 604
nit: 9
status: 0
success: True
x: array([ 82.31246993, 134.00002094, 162. ])
xopt: array([ 83., 134., 163.])
zopt: array([ 83., 217., 380.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfy0jl9hc.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfpgkjp3h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [5e-02, 5e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.632698
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.54947 0.632698
Optimal solution found (tolerance 1.00e-02)
Best objective 1.549465605953e+00, best bound 1.549465605953e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp87ttivyk.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps6se55we.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.649049
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.243114e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.2431142 1.24311 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.24311 0.649049
Optimal solution found (tolerance 1.00e-02)
Best objective 1.243114220167e+00, best bound 1.243114220167e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa51goh7h.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz54xa2xw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.399672
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 1.871459e+00, 25 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87146 0 6 0.39967 1.87146 368% - 0s
H 0 0 1.4388768 1.87146 30.1% - 0s
0 0 cutoff 0 1.43888 1.43888 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (31 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.43888 0.399672
Optimal solution found (tolerance 1.00e-02)
Best objective 1.438876770478e+00, best bound 1.438876770478e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwfz43gwp.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpud4oaoe8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.855229
Presolve removed 147 rows and 104 columns
Presolve time: 0.01s
Presolved: 44 rows, 38 columns, 145 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 2.040337e+00, 21 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04034 0 4 0.85523 2.04034 139% - 0s
H 0 0 1.5806399 2.04034 29.1% - 0s
0 0 cutoff 0 1.58064 1.58064 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 1
Flow path: 1
Explored 1 nodes (25 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.58064 0.855229
Optimal solution found (tolerance 1.00e-02)
Best objective 1.580639896541e+00, best bound 1.580639896541e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppvmhvq0j.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm9mo4wgd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16188
Presolve removed 161 rows and 112 columns
Presolve time: 0.01s
Presolved: 76 rows, 63 columns, 262 nonzeros
Variable types: 33 continuous, 30 integer (26 binary)
Root relaxation: objective 1.938281e+00, 41 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93828 0 9 1.16188 1.93828 66.8% - 0s
H 0 0 1.4897266 1.93828 30.1% - 0s
0 0 cutoff 0 1.48973 1.48973 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 6
Explored 1 nodes (54 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.48973 1.16188
Optimal solution found (tolerance 1.00e-02)
Best objective 1.489726555847e+00, best bound 1.489726555847e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplf9r0gyv.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6y2qads1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20688
Presolve removed 139 rows and 96 columns
Presolve time: 0.01s
Presolved: 144 rows, 112 columns, 504 nonzeros
Variable types: 54 continuous, 58 integer (51 binary)
Root relaxation: objective 1.688037e+00, 91 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68804 0 5 1.20688 1.68804 39.9% - 0s
H 0 0 1.2551896 1.68804 34.5% - 0s
0 0 1.26279 0 1 1.25519 1.26279 0.61% - 0s
Cutting planes:
Gomory: 3
Flow cover: 5
Explored 1 nodes (128 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.25519 1.20688
Optimal solution found (tolerance 1.00e-02)
Best objective 1.255189639363e+00, best bound 1.262791170370e+00, gap 0.6056%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpggj51558.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj1ro395k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07103
Presolve removed 151 rows and 101 columns
Presolve time: 0.01s
Presolved: 178 rows, 140 columns, 631 nonzeros
Variable types: 71 continuous, 69 integer (63 binary)
Root relaxation: objective 1.446266e+00, 119 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44627 0 6 1.07103 1.44627 35.0% - 0s
H 0 0 1.0714242 1.44627 35.0% - 0s
0 0 1.07781 0 2 1.07142 1.07781 0.60% - 0s
Cutting planes:
Gomory: 4
Flow cover: 6
Explored 1 nodes (158 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.07142 1.07103
Optimal solution found (tolerance 1.00e-02)
Best objective 1.071424226061e+00, best bound 1.077811213511e+00, gap 0.5961%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuis375or.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpztxkq_xj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920243
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 1.372018e+00, 138 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37202 0 10 0.92024 1.37202 49.1% - 0s
H 0 0 0.9716513 1.37202 41.2% - 0s
0 0 1.11659 0 12 0.97165 1.11659 14.9% - 0s
0 0 1.00438 0 8 0.97165 1.00438 3.37% - 0s
0 0 1.00438 0 8 0.97165 1.00438 3.37% - 0s
0 0 1.00438 0 8 0.97165 1.00438 3.37% - 0s
0 0 0.99312 0 2 0.97165 0.99312 2.21% - 0s
0 0 cutoff 0 0.97165 0.97165 0.00% - 0s
Cutting planes:
Gomory: 1
Explored 1 nodes (263 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.971651 0.920243
Optimal solution found (tolerance 1.00e-02)
Best objective 9.716513186026e-01, best bound 9.716513186026e-01, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjk3k32qe.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_gfqz8_l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.837041
Presolve removed 179 rows and 116 columns
Presolve time: 0.00s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 1.334951e+00, 167 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33495 0 12 0.83704 1.33495 59.5% - 0s
H 0 0 0.9027716 1.33495 47.9% - 0s
0 0 1.04953 0 15 0.90277 1.04953 16.3% - 0s
0 0 1.04293 0 15 0.90277 1.04293 15.5% - 0s
0 0 1.04286 0 15 0.90277 1.04286 15.5% - 0s
0 0 0.97437 0 11 0.90277 0.97437 7.93% - 0s
H 0 0 0.9027716 0.97437 7.93% - 0s
0 0 0.97434 0 11 0.90277 0.97434 7.93% - 0s
0 0 0.97415 0 11 0.90277 0.97415 7.91% - 0s
0 0 0.97415 0 11 0.90277 0.97415 7.91% - 0s
0 0 0.97415 0 7 0.90277 0.97415 7.91% - 0s
0 0 0.96486 0 8 0.90277 0.96486 6.88% - 0s
0 0 0.96448 0 8 0.90277 0.96448 6.83% - 0s
0 0 0.95894 0 8 0.90277 0.95894 6.22% - 0s
0 0 0.95881 0 8 0.90277 0.95881 6.21% - 0s
0 0 0.95536 0 5 0.90277 0.95536 5.83% - 0s
0 0 0.95536 0 5 0.90277 0.95536 5.83% - 0s
0 2 0.95536 0 5 0.90277 0.95536 5.83% - 0s
Cutting planes:
Gomory: 6
Implied bound: 6
Clique: 1
Flow cover: 2
Explored 7 nodes (416 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.902772 0.902772 0.837041
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (6.9224e-06) exceeds tolerance
Warning: max bound violation (6.9219e-06) exceeds tolerance
Best objective 9.027716425271e-01, best bound 9.088748525408e-01, gap 0.6761%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8zrawgpi.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpymw91z5i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.770285
Presolve removed 194 rows and 125 columns
Presolve time: 0.00s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 1.518536e+00, 242 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51854 0 18 0.77028 1.51854 97.1% - 0s
0 0 1.15501 0 13 0.77028 1.15501 49.9% - 0s
0 0 1.15501 0 11 0.77028 1.15501 49.9% - 0s
0 0 1.15501 0 13 0.77028 1.15501 49.9% - 0s
0 0 1.15501 0 13 0.77028 1.15501 49.9% - 0s
0 2 1.15501 0 13 0.77028 1.15501 49.9% - 0s
* 64 6 11 0.8847182 0.92348 4.38% 6.0 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 6
MIR: 1
Flow cover: 12
Flow path: 3
Explored 82 nodes (849 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.884718 0.770285
Optimal solution found (tolerance 1.00e-02)
Best objective 8.847181953412e-01, best bound 8.847181953412e-01, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprwrgbsna.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzn2neg4l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.744735
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 1.905285e+00, 273 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90528 0 20 0.74474 1.90528 156% - 0s
0 0 1.52397 0 24 0.74474 1.52397 105% - 0s
0 0 1.45948 0 22 0.74474 1.45948 96.0% - 0s
0 0 1.45948 0 22 0.74474 1.45948 96.0% - 0s
0 0 1.45640 0 21 0.74474 1.45640 95.6% - 0s
0 0 1.45290 0 18 0.74474 1.45290 95.1% - 0s
0 0 1.45205 0 18 0.74474 1.45205 95.0% - 0s
0 0 1.45205 0 21 0.74474 1.45205 95.0% - 0s
0 0 1.45180 0 20 0.74474 1.45180 94.9% - 0s
0 0 1.45179 0 20 0.74474 1.45179 94.9% - 0s
0 0 1.45100 0 17 0.74474 1.45100 94.8% - 0s
0 0 1.45095 0 22 0.74474 1.45095 94.8% - 0s
0 0 1.45061 0 22 0.74474 1.45061 94.8% - 0s
0 0 1.45061 0 20 0.74474 1.45061 94.8% - 0s
0 2 1.45061 0 20 0.74474 1.45061 94.8% - 0s
H 110 19 0.9460858 1.05716 11.7% 6.6 0s
* 130 15 16 0.9728121 1.03533 6.43% 6.3 0s
Cutting planes:
Gomory: 9
Implied bound: 13
MIR: 4
Flow cover: 16
Flow path: 1
Explored 159 nodes (1456 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.972812 0.946086 0.744735
Optimal solution found (tolerance 1.00e-02)
Best objective 9.728121133573e-01, best bound 9.728121133573e-01, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp33mgse5_.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5g08__sc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.856529
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 1.864917e+00, 304 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86492 0 25 0.85653 1.86492 118% - 0s
0 0 1.50719 0 31 0.85653 1.50719 76.0% - 0s
0 0 1.44785 0 34 0.85653 1.44785 69.0% - 0s
0 0 1.44777 0 33 0.85653 1.44777 69.0% - 0s
0 0 1.44078 0 33 0.85653 1.44078 68.2% - 0s
0 0 1.43912 0 34 0.85653 1.43912 68.0% - 0s
0 0 1.43909 0 34 0.85653 1.43909 68.0% - 0s
0 0 1.43805 0 36 0.85653 1.43805 67.9% - 0s
0 0 1.43801 0 36 0.85653 1.43801 67.9% - 0s
0 0 1.43719 0 36 0.85653 1.43719 67.8% - 0s
0 0 1.43719 0 32 0.85653 1.43719 67.8% - 0s
0 2 1.43719 0 32 0.85653 1.43719 67.8% - 0s
* 169 55 16 0.8745868 1.29114 47.6% 7.0 0s
* 182 50 18 0.9514424 1.29114 35.7% 6.8 0s
* 401 3 16 0.9817533 1.09294 11.3% 7.1 0s
* 430 0 13 0.9835516 1.00319 2.00% 7.0 0s
Cutting planes:
Gomory: 7
Cover: 3
Implied bound: 22
MIR: 7
Flow cover: 17
Inf proof: 7
Explored 441 nodes (3615 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.983552 0.981753 0.951442 ... 0.856529
Optimal solution found (tolerance 1.00e-02)
Best objective 9.835515824349e-01, best bound 9.835515824349e-01, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaw64l1sz.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkq4k3xz3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844856
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 1.915500e+00, 293 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91550 0 24 0.84486 1.91550 127% - 0s
0 0 1.58025 0 40 0.84486 1.58025 87.0% - 0s
0 0 1.57458 0 39 0.84486 1.57458 86.4% - 0s
0 0 1.56471 0 33 0.84486 1.56471 85.2% - 0s
0 0 1.56469 0 34 0.84486 1.56469 85.2% - 0s
0 0 1.50862 0 40 0.84486 1.50862 78.6% - 0s
0 0 1.50518 0 44 0.84486 1.50518 78.2% - 0s
0 0 1.50436 0 41 0.84486 1.50436 78.1% - 0s
0 0 1.50157 0 40 0.84486 1.50157 77.7% - 0s
0 0 1.50129 0 40 0.84486 1.50129 77.7% - 0s
0 0 1.49345 0 37 0.84486 1.49345 76.8% - 0s
0 0 1.49345 0 37 0.84486 1.49345 76.8% - 0s
0 0 1.49269 0 40 0.84486 1.49269 76.7% - 0s
0 0 1.49225 0 40 0.84486 1.49225 76.6% - 0s
0 0 1.49159 0 37 0.84486 1.49159 76.5% - 0s
0 0 1.49159 0 20 0.84486 1.49159 76.5% - 0s
0 2 1.49159 0 20 0.84486 1.49159 76.5% - 0s
* 234 64 23 0.8867248 1.29621 46.2% 8.2 0s
* 448 57 19 0.9596294 1.18866 23.9% 7.2 0s
H 564 36 0.9689686 1.13389 17.0% 7.0 0s
* 569 34 23 0.9751925 1.13389 16.3% 7.0 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 22
MIR: 6
Flow cover: 28
Flow path: 1
Inf proof: 16
Explored 662 nodes (5146 simplex iterations) in 0.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.975192 0.968969 0.959629 ... 0.844856
Optimal solution found (tolerance 1.00e-02)
Best objective 9.751924506097e-01, best bound 9.751924506097e-01, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt7uwyq72.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnm5d3smd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864823
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 1.882543e+00, 371 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88254 0 28 0.86482 1.88254 118% - 0s
0 0 1.57356 0 43 0.86482 1.57356 82.0% - 0s
0 0 1.57184 0 43 0.86482 1.57184 81.8% - 0s
0 0 1.56159 0 37 0.86482 1.56159 80.6% - 0s
0 0 1.49650 0 40 0.86482 1.49650 73.0% - 0s
0 0 1.49644 0 43 0.86482 1.49644 73.0% - 0s
0 0 1.49621 0 45 0.86482 1.49621 73.0% - 0s
0 0 1.49621 0 29 0.86482 1.49621 73.0% - 0s
0 2 1.49621 0 27 0.86482 1.49621 73.0% - 0s
* 173 82 24 0.9010481 1.37734 52.9% 6.5 0s
* 291 106 20 0.9425097 1.28795 36.7% 6.4 0s
* 554 106 20 0.9664762 1.18069 22.2% 6.2 0s
* 565 115 24 0.9742016 1.18069 21.2% 6.2 0s
Cutting planes:
Gomory: 16
Cover: 5
Implied bound: 22
Clique: 1
MIR: 2
Flow cover: 22
Inf proof: 3
Explored 806 nodes (5655 simplex iterations) in 0.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.974202 0.966476 0.94251 ... 0.864823
Optimal solution found (tolerance 1.00e-02)
Best objective 9.742015853835e-01, best bound 9.742015853835e-01, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjc_3ek0_.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqvog3jmc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884416
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.801883e+00, 356 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80188 0 29 0.88442 1.80188 104% - 0s
0 0 1.49538 0 46 0.88442 1.49538 69.1% - 0s
0 0 1.49109 0 45 0.88442 1.49109 68.6% - 0s
0 0 1.48264 0 39 0.88442 1.48264 67.6% - 0s
0 0 1.48248 0 40 0.88442 1.48248 67.6% - 0s
0 0 1.43501 0 41 0.88442 1.43501 62.3% - 0s
0 0 1.43498 0 41 0.88442 1.43498 62.3% - 0s
0 0 1.43494 0 44 0.88442 1.43494 62.2% - 0s
0 0 1.43132 0 44 0.88442 1.43132 61.8% - 0s
0 0 1.43034 0 44 0.88442 1.43034 61.7% - 0s
0 0 1.43013 0 44 0.88442 1.43013 61.7% - 0s
0 0 1.42937 0 47 0.88442 1.42937 61.6% - 0s
0 0 1.42937 0 47 0.88442 1.42937 61.6% - 0s
0 0 1.42535 0 44 0.88442 1.42535 61.2% - 0s
0 0 1.42410 0 45 0.88442 1.42410 61.0% - 0s
0 0 1.42403 0 46 0.88442 1.42403 61.0% - 0s
0 0 1.42349 0 47 0.88442 1.42349 61.0% - 0s
0 0 1.42349 0 30 0.88442 1.42349 61.0% - 0s
0 2 1.42349 0 30 0.88442 1.42349 61.0% - 0s
* 595 127 28 0.8995798 1.10126 22.4% 7.7 0s
* 697 111 24 0.9012908 1.07943 19.8% 7.5 0s
* 698 105 24 0.9217879 1.07943 17.1% 7.5 0s
* 928 45 26 0.9326839 1.02446 9.84% 7.2 0s
Cutting planes:
Gomory: 11
Cover: 4
Implied bound: 31
MIR: 6
Flow cover: 31
Flow path: 1
Inf proof: 11
Explored 1017 nodes (7851 simplex iterations) in 0.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.932684 0.921788 0.901291 ... 0.884416
Optimal solution found (tolerance 1.00e-02)
Best objective 9.326839384547e-01, best bound 9.347774051402e-01, gap 0.2245%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb6ub5p7m.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpanheingw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.841058
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.822962e+00, 356 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82296 0 32 0.84106 1.82296 117% - 0s
0 0 1.58451 0 48 0.84106 1.58451 88.4% - 0s
0 0 1.58302 0 49 0.84106 1.58302 88.2% - 0s
0 0 1.58298 0 49 0.84106 1.58298 88.2% - 0s
0 0 1.45884 0 57 0.84106 1.45884 73.5% - 0s
0 0 1.45815 0 57 0.84106 1.45815 73.4% - 0s
0 0 1.45815 0 38 0.84106 1.45815 73.4% - 0s
0 2 1.45815 0 38 0.84106 1.45815 73.4% - 0s
* 213 124 42 0.9486356 1.27211 34.1% 7.1 0s
Cutting planes:
Gomory: 15
Cover: 10
Implied bound: 37
MIR: 2
Flow cover: 23
Inf proof: 16
Explored 1800 nodes (12448 simplex iterations) in 0.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.948636 0.841058
Optimal solution found (tolerance 1.00e-02)
Best objective 9.486355954928e-01, best bound 9.490476119861e-01, gap 0.0434%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaaju5jtv.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplvxzmyg4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.849501
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.821469e+00, 430 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82147 0 32 0.84950 1.82147 114% - 0s
0 0 1.46860 0 65 0.84950 1.46860 72.9% - 0s
0 0 1.45663 0 59 0.84950 1.45663 71.5% - 0s
0 0 1.45597 0 60 0.84950 1.45597 71.4% - 0s
0 0 1.45132 0 66 0.84950 1.45132 70.8% - 0s
0 0 1.44532 0 65 0.84950 1.44532 70.1% - 0s
0 0 1.44456 0 67 0.84950 1.44456 70.0% - 0s
0 0 1.44443 0 65 0.84950 1.44443 70.0% - 0s
0 0 1.44285 0 61 0.84950 1.44285 69.8% - 0s
0 0 1.43948 0 65 0.84950 1.43948 69.5% - 0s
0 0 1.43917 0 66 0.84950 1.43917 69.4% - 0s
0 0 1.43866 0 67 0.84950 1.43866 69.4% - 0s
0 0 1.43772 0 69 0.84950 1.43772 69.2% - 0s
0 0 1.43694 0 69 0.84950 1.43694 69.2% - 0s
0 0 1.43676 0 69 0.84950 1.43676 69.1% - 0s
0 0 1.43676 0 55 0.84950 1.43676 69.1% - 0s
0 2 1.43676 0 51 0.84950 1.43676 69.1% - 0s
* 1026 361 25 0.8637136 1.22225 41.5% 8.8 0s
* 1276 360 25 0.8959848 1.19618 33.5% 8.5 0s
* 1277 354 25 0.9067388 1.19618 31.9% 8.5 0s
* 1531 298 28 0.9479353 1.17242 23.7% 8.2 0s
* 1923 140 26 0.9492283 1.03714 9.26% 8.2 0s
Cutting planes:
Gomory: 18
Cover: 10
Implied bound: 38
MIR: 5
Flow cover: 34
Flow path: 1
Inf proof: 20
Explored 2079 nodes (17493 simplex iterations) in 0.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.949228 0.947935 0.906739 ... 0.849501
Optimal solution found (tolerance 1.00e-02)
Best objective 9.492282780074e-01, best bound 9.535313736620e-01, gap 0.4533%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr6pn_0l3.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjg0uc3tt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.858406
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.809974e+00, 444 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80997 0 35 0.85841 1.80997 111% - 0s
0 0 1.50209 0 61 0.85841 1.50209 75.0% - 0s
0 0 1.50020 0 62 0.85841 1.50020 74.8% - 0s
0 0 1.49283 0 62 0.85841 1.49283 73.9% - 0s
0 0 1.45119 0 61 0.85841 1.45119 69.1% - 0s
0 0 1.45085 0 57 0.85841 1.45085 69.0% - 0s
0 0 1.44933 0 68 0.85841 1.44933 68.8% - 0s
0 0 1.44933 0 55 0.85841 1.44933 68.8% - 0s
0 2 1.44933 0 54 0.85841 1.44933 68.8% - 0s
* 166 95 47 0.8908612 1.31017 47.1% 6.9 0s
* 1355 199 42 0.9009584 1.02206 13.4% 6.7 0s
* 1393 190 36 0.9150961 1.02174 11.7% 6.6 0s
* 1406 199 38 0.9276614 1.02174 10.1% 6.6 0s
Cutting planes:
Gomory: 13
Cover: 11
Implied bound: 44
MIR: 5
Flow cover: 36
Inf proof: 17
Explored 1753 nodes (12108 simplex iterations) in 0.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.927661 0.915096 0.900958 ... 0.858406
Optimal solution found (tolerance 1.00e-02)
Best objective 9.276614296420e-01, best bound 9.276614296420e-01, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7_wo531n.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprk77tkho.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.836007
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.797370e+00, 472 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79737 0 40 0.83601 1.79737 115% - 0s
0 0 1.48929 0 57 0.83601 1.48929 78.1% - 0s
0 0 1.47858 0 51 0.83601 1.47858 76.9% - 0s
0 0 1.47858 0 51 0.83601 1.47858 76.9% - 0s
0 0 1.44098 0 66 0.83601 1.44098 72.4% - 0s
0 0 1.44065 0 62 0.83601 1.44065 72.3% - 0s
0 0 1.43519 0 61 0.83601 1.43519 71.7% - 0s
0 0 1.43250 0 67 0.83601 1.43250 71.4% - 0s
0 0 1.43250 0 67 0.83601 1.43250 71.4% - 0s
0 0 1.43111 0 68 0.83601 1.43111 71.2% - 0s
0 0 1.43111 0 68 0.83601 1.43111 71.2% - 0s
0 0 1.43078 0 67 0.83601 1.43078 71.1% - 0s
0 0 1.43078 0 47 0.83601 1.43078 71.1% - 0s
0 2 1.43078 0 46 0.83601 1.43078 71.1% - 0s
* 357 186 59 0.9007978 1.26760 40.7% 7.7 0s
* 364 185 57 0.9033138 1.26760 40.3% 7.7 0s
* 2474 239 55 0.9052055 0.97289 7.48% 6.3 1s
Cutting planes:
Gomory: 16
Cover: 13
Implied bound: 49
MIR: 14
Flow cover: 41
Inf proof: 21
Explored 2838 nodes (18319 simplex iterations) in 1.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.905205 0.903314 0.900798 0.836007
Optimal solution found (tolerance 1.00e-02)
Best objective 9.052054734323e-01, best bound 9.134750247135e-01, gap 0.9136%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp5ti6baf.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj0c2v5nc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.825084
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.777814e+00, 512 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77781 0 43 0.82508 1.77781 115% - 0s
0 0 1.47249 0 64 0.82508 1.47249 78.5% - 0s
0 0 1.46231 0 58 0.82508 1.46231 77.2% - 0s
0 0 1.42673 0 64 0.82508 1.42673 72.9% - 0s
0 0 1.42641 0 62 0.82508 1.42641 72.9% - 0s
0 0 1.42214 0 60 0.82508 1.42214 72.4% - 0s
0 0 1.42052 0 61 0.82508 1.42052 72.2% - 0s
0 0 1.41914 0 61 0.82508 1.41914 72.0% - 0s
0 0 1.41868 0 57 0.82508 1.41868 71.9% - 0s
0 0 1.41865 0 63 0.82508 1.41865 71.9% - 0s
0 0 1.41864 0 54 0.82508 1.41864 71.9% - 0s
0 0 1.41864 0 54 0.82508 1.41864 71.9% - 0s
0 0 1.41864 0 45 0.82508 1.41864 71.9% - 0s
0 2 1.41864 0 41 0.82508 1.41864 71.9% - 0s
* 1177 519 62 0.8437551 1.17715 39.5% 8.2 0s
* 1940 564 50 0.8519909 0.97008 13.9% 9.5 2s
* 2132 512 64 0.8547086 0.95680 11.9% 9.3 2s
* 2154 437 56 0.8685832 0.95680 10.2% 9.3 2s
* 2200 407 56 0.8698012 0.93426 7.41% 9.2 2s
* 2203 362 55 0.8826834 0.93426 5.84% 9.2 2s
* 2269 262 53 0.8849548 0.92536 4.57% 9.1 2s
* 2293 235 61 0.8859055 0.92536 4.45% 9.0 2s
Cutting planes:
Learned: 1
Gomory: 26
Cover: 8
Implied bound: 12
Projected implied bound: 16
Clique: 8
MIR: 17
Flow cover: 56
Flow path: 3
Inf proof: 12
Zero half: 1
Explored 2456 nodes (22417 simplex iterations) in 2.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 0.885906 0.884955 0.882683 ... 0.825084
Optimal solution found (tolerance 1.00e-02)
Best objective 8.859055032137e-01, best bound 8.859055032137e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp41fvvl5u.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprz8l63ri.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.823792
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.710765e+00, 531 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71076 0 48 0.82379 1.71076 108% - 0s
0 0 1.40829 0 66 0.82379 1.40829 71.0% - 0s
0 0 1.39859 0 62 0.82379 1.39859 69.8% - 0s
0 0 1.36463 0 59 0.82379 1.36463 65.7% - 0s
0 0 1.36365 0 60 0.82379 1.36365 65.5% - 0s
0 0 1.35531 0 62 0.82379 1.35531 64.5% - 0s
0 0 1.35360 0 63 0.82379 1.35360 64.3% - 0s
0 0 1.35339 0 61 0.82379 1.35339 64.3% - 0s
0 0 1.35166 0 61 0.82379 1.35166 64.1% - 0s
0 0 1.35155 0 61 0.82379 1.35155 64.1% - 0s
0 0 1.35104 0 64 0.82379 1.35104 64.0% - 0s
0 0 1.35104 0 55 0.82379 1.35104 64.0% - 0s
0 2 1.35104 0 51 0.82379 1.35104 64.0% - 0s
* 1861 568 65 0.8264618 1.03124 24.8% 7.9 1s
* 3682 160 48 0.8363289 0.86297 3.19% 7.1 2s
* 3771 118 49 0.8388820 0.85927 2.43% 7.0 2s
* 3816 99 41 0.8434672 0.85836 1.77% 7.0 2s
* 3873 39 38 0.8469522 0.85632 1.11% 6.9 2s
* 3923 12 38 0.8493829 0.85632 0.82% 6.9 2s
Cutting planes:
Gomory: 21
Cover: 12
Implied bound: 52
MIR: 15
Flow cover: 38
Flow path: 1
Inf proof: 33
Explored 3975 nodes (28273 simplex iterations) in 2.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.849383 0.846952 0.843467 ... 0.823792
Optimal solution found (tolerance 1.00e-02)
Best objective 8.493829170990e-01, best bound 8.547332813706e-01, gap 0.6299%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6opuup57.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4dh8tm9k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.845558
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.703695e+00, 540 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70370 0 46 0.84556 1.70370 101% - 0s
0 0 1.61160 0 83 0.84556 1.61160 90.6% - 0s
0 0 1.60235 0 77 0.84556 1.60235 89.5% - 0s
0 0 1.56241 0 83 0.84556 1.56241 84.8% - 0s
0 0 1.56226 0 85 0.84556 1.56226 84.8% - 0s
0 0 1.55957 0 84 0.84556 1.55957 84.4% - 0s
0 0 1.55855 0 85 0.84556 1.55855 84.3% - 0s
0 0 1.55853 0 83 0.84556 1.55853 84.3% - 0s
0 0 1.55845 0 77 0.84556 1.55845 84.3% - 0s
0 0 1.55809 0 77 0.84556 1.55809 84.3% - 0s
0 0 1.55554 0 79 0.84556 1.55554 84.0% - 0s
0 0 1.55547 0 80 0.84556 1.55547 84.0% - 0s
0 0 1.55534 0 84 0.84556 1.55534 83.9% - 0s
0 0 1.55534 0 84 0.84556 1.55534 83.9% - 0s
0 0 1.55532 0 87 0.84556 1.55532 83.9% - 0s
0 0 1.55532 0 66 0.84556 1.55532 83.9% - 0s
0 2 1.55532 0 66 0.84556 1.55532 83.9% - 0s
H 2265 459 0.8498793 1.03873 22.2% 8.5 2s
H 3031 116 0.8542498 0.89933 5.28% 7.9 3s
* 3160 28 61 0.8560655 0.88952 3.91% 7.8 3s
Cutting planes:
Learned: 3
Gomory: 2
Implied bound: 8
MIR: 5
Flow cover: 10
Explored 3254 nodes (26044 simplex iterations) in 3.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.856066 0.85425 0.849879 0.845558
Optimal solution found (tolerance 1.00e-02)
Best objective 8.560655473271e-01, best bound 8.560655473271e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplxuci8ta.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1qlwy5xb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.851206
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.677633e+00, 567 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67763 0 49 0.85121 1.67763 97.1% - 0s
0 0 1.56023 0 85 0.85121 1.56023 83.3% - 0s
0 0 1.55138 0 79 0.85121 1.55138 82.3% - 0s
0 0 1.51307 0 90 0.85121 1.51307 77.8% - 0s
0 0 1.51067 0 82 0.85121 1.51067 77.5% - 0s
0 0 1.48967 0 86 0.85121 1.48967 75.0% - 0s
0 0 1.48625 0 86 0.85121 1.48625 74.6% - 0s
0 0 1.48241 0 92 0.85121 1.48241 74.2% - 0s
0 0 1.48192 0 95 0.85121 1.48192 74.1% - 0s
0 0 1.48135 0 87 0.85121 1.48135 74.0% - 0s
0 0 1.48134 0 87 0.85121 1.48134 74.0% - 0s
0 0 1.48132 0 87 0.85121 1.48132 74.0% - 0s
0 0 1.48131 0 86 0.85121 1.48131 74.0% - 0s
0 0 1.48131 0 68 0.85121 1.48131 74.0% - 0s
0 2 1.48131 0 66 0.85121 1.48131 74.0% - 0s
* 372 223 86 0.8529500 1.23887 45.2% 7.2 0s
* 379 223 86 0.8588424 1.23887 44.2% 7.1 0s
* 381 223 85 0.8658331 1.23887 43.1% 7.1 0s
* 2095 280 66 0.8692366 0.96385 10.9% 9.7 3s
Cutting planes:
Gomory: 27
Implied bound: 15
Projected implied bound: 16
MIR: 6
Flow cover: 33
Inf proof: 21
Explored 3417 nodes (28994 simplex iterations) in 4.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.869237 0.865833 0.858842 ... 0.851206
Optimal solution found (tolerance 1.00e-02)
Best objective 8.692366469199e-01, best bound 8.738416871948e-01, gap 0.5298%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe42lv72t.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcc_qnyq7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.850054
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.625288e+00, 654 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62529 0 52 0.85005 1.62529 91.2% - 0s
0 0 1.54286 0 88 0.85005 1.54286 81.5% - 0s
0 0 1.53438 0 83 0.85005 1.53438 80.5% - 0s
0 0 1.42338 0 77 0.85005 1.42338 67.4% - 0s
0 0 1.42336 0 79 0.85005 1.42336 67.4% - 0s
0 0 1.39754 0 82 0.85005 1.39754 64.4% - 0s
0 0 1.39562 0 83 0.85005 1.39562 64.2% - 0s
0 0 1.39379 0 83 0.85005 1.39379 64.0% - 0s
0 0 1.39375 0 83 0.85005 1.39375 64.0% - 0s
0 0 1.39286 0 87 0.85005 1.39286 63.9% - 0s
0 0 1.39278 0 82 0.85005 1.39278 63.8% - 0s
0 0 1.39278 0 60 0.85005 1.39278 63.8% - 0s
0 2 1.39278 0 59 0.85005 1.39278 63.8% - 0s
* 2388 389 74 0.8539199 0.92972 8.88% 7.3 1s
Cutting planes:
Gomory: 9
Cover: 8
Implied bound: 48
MIR: 12
Flow cover: 62
Flow path: 1
Inf proof: 23
Explored 3339 nodes (23160 simplex iterations) in 2.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.85392 0.850054
Optimal solution found (tolerance 1.00e-02)
Best objective 8.539198896775e-01, best bound 8.621356969741e-01, gap 0.9621%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq2b4dx86.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpchdhyqdq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.833242
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.563382e+00, 624 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56338 0 56 0.83324 1.56338 87.6% - 0s
0 0 1.46304 0 93 0.83324 1.46304 75.6% - 0s
0 0 1.46015 0 93 0.83324 1.46015 75.2% - 0s
0 0 1.37675 0 72 0.83324 1.37675 65.2% - 0s
0 0 1.37670 0 74 0.83324 1.37670 65.2% - 0s
0 0 1.37503 0 83 0.83324 1.37503 65.0% - 0s
0 0 1.37338 0 82 0.83324 1.37338 64.8% - 0s
0 0 1.37240 0 82 0.83324 1.37240 64.7% - 0s
0 0 1.37225 0 82 0.83324 1.37225 64.7% - 0s
0 0 1.37177 0 85 0.83324 1.37177 64.6% - 0s
0 0 1.37176 0 84 0.83324 1.37176 64.6% - 0s
0 0 1.37156 0 84 0.83324 1.37156 64.6% - 0s
0 0 1.37156 0 67 0.83324 1.37156 64.6% - 0s
0 2 1.37156 0 66 0.83324 1.37156 64.6% - 0s
* 3284 88 71 0.8338591 0.85932 3.05% 7.3 2s
Cutting planes:
Gomory: 6
Cover: 11
Implied bound: 57
MIR: 16
Flow cover: 63
Flow path: 2
Inf proof: 40
Explored 3625 nodes (27112 simplex iterations) in 2.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.833859 0.833242
Optimal solution found (tolerance 1.00e-02)
Best objective 8.338590945005e-01, best bound 8.400139934886e-01, gap 0.7381%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdrbe7wbl.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbvv9eebq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.814222
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.524096e+00, 663 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52410 0 55 0.81422 1.52410 87.2% - 0s
0 0 1.45321 0 96 0.81422 1.45321 78.5% - 0s
0 0 1.44538 0 90 0.81422 1.44538 77.5% - 0s
0 0 1.37335 0 87 0.81422 1.37335 68.7% - 0s
0 0 1.37334 0 88 0.81422 1.37334 68.7% - 0s
0 0 1.36798 0 84 0.81422 1.36798 68.0% - 0s
0 0 1.36765 0 87 0.81422 1.36765 68.0% - 0s
0 0 1.36752 0 85 0.81422 1.36752 68.0% - 0s
0 0 1.36744 0 79 0.81422 1.36744 67.9% - 0s
0 0 1.36597 0 85 0.81422 1.36597 67.8% - 0s
0 0 1.36351 0 93 0.81422 1.36351 67.5% - 0s
0 0 1.36266 0 92 0.81422 1.36266 67.4% - 0s
0 0 1.36260 0 92 0.81422 1.36260 67.4% - 0s
0 0 1.36204 0 93 0.81422 1.36204 67.3% - 0s
0 0 1.36192 0 93 0.81422 1.36192 67.3% - 0s
0 0 1.36183 0 94 0.81422 1.36183 67.3% - 0s
0 0 1.36183 0 64 0.81422 1.36183 67.3% - 0s
0 2 1.36183 0 64 0.81422 1.36183 67.3% - 0s
* 3279 0 62 0.8146045 0.84342 3.54% 9.1 4s
Cutting planes:
Learned: 1
Gomory: 3
Cover: 2
Implied bound: 5
MIR: 6
Flow cover: 19
Flow path: 2
Inf proof: 5
Explored 3362 nodes (31372 simplex iterations) in 4.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.814605 0.814222
Optimal solution found (tolerance 1.00e-02)
Best objective 8.146045201660e-01, best bound 8.227082343648e-01, gap 0.9948%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqrgcjxss.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmput6ctj2t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.786078
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.478300e+00, 676 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47830 0 57 0.78608 1.47830 88.1% - 0s
0 0 1.41275 0 95 0.78608 1.41275 79.7% - 0s
0 0 1.40521 0 89 0.78608 1.40521 78.8% - 0s
0 0 1.31970 0 84 0.78608 1.31970 67.9% - 0s
0 0 1.31970 0 85 0.78608 1.31970 67.9% - 0s
0 0 1.31861 0 86 0.78608 1.31861 67.7% - 0s
0 0 1.31824 0 87 0.78608 1.31824 67.7% - 0s
0 0 1.31287 0 83 0.78608 1.31287 67.0% - 0s
0 0 1.30841 0 85 0.78608 1.30841 66.4% - 0s
0 0 1.29283 0 85 0.78608 1.29283 64.5% - 0s
0 0 1.29280 0 85 0.78608 1.29280 64.5% - 0s
0 0 1.28988 0 90 0.78608 1.28988 64.1% - 0s
0 0 1.28988 0 90 0.78608 1.28988 64.1% - 0s
0 0 1.28451 0 89 0.78608 1.28451 63.4% - 0s
0 0 1.28321 0 84 0.78608 1.28321 63.2% - 0s
0 0 1.28127 0 84 0.78608 1.28127 63.0% - 0s
0 0 1.27984 0 78 0.78608 1.27984 62.8% - 0s
0 0 1.24754 0 88 0.78608 1.24754 58.7% - 0s
0 0 1.24715 0 86 0.78608 1.24715 58.7% - 0s
0 0 1.24583 0 87 0.78608 1.24583 58.5% - 0s
0 0 1.24578 0 88 0.78608 1.24578 58.5% - 0s
0 0 1.24440 0 87 0.78608 1.24440 58.3% - 0s
0 0 1.24440 0 87 0.78608 1.24440 58.3% - 0s
0 0 1.24440 0 66 0.78608 1.24440 58.3% - 0s
0 0 1.24440 0 66 0.78608 1.24440 58.3% - 0s
0 0 1.24417 0 66 0.78608 1.24417 58.3% - 0s
0 0 1.24417 0 66 0.78608 1.24417 58.3% - 0s
0 2 1.24417 0 66 0.78608 1.24417 58.3% - 0s
1917 161 infeasible 32 0.78608 0.86363 9.87% 14.8 5s
* 2507 141 78 0.7880944 0.80712 2.41% 12.3 5s
Cutting planes:
Gomory: 20
Cover: 6
Implied bound: 20
Projected implied bound: 25
Clique: 5
MIR: 22
Flow cover: 59
Flow path: 1
Inf proof: 18
Explored 2785 nodes (33706 simplex iterations) in 5.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.788094 0.786078
Optimal solution found (tolerance 1.00e-02)
Best objective 7.880944038003e-01, best bound 7.880944038003e-01, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp98bt7nfq.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpenpg5687.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.7601
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.474136e+00, 717 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47414 0 60 0.76010 1.47414 93.9% - 0s
0 0 1.37944 0 104 0.76010 1.37944 81.5% - 0s
0 0 1.37162 0 98 0.76010 1.37162 80.5% - 0s
0 0 1.30125 0 103 0.76010 1.30125 71.2% - 0s
0 0 1.30124 0 104 0.76010 1.30124 71.2% - 0s
0 0 1.28911 0 100 0.76010 1.28911 69.6% - 0s
0 0 1.28759 0 93 0.76010 1.28759 69.4% - 0s
0 0 1.28520 0 100 0.76010 1.28520 69.1% - 0s
0 0 1.28417 0 103 0.76010 1.28417 68.9% - 0s
0 0 1.28223 0 101 0.76010 1.28223 68.7% - 0s
0 0 1.28078 0 100 0.76010 1.28078 68.5% - 0s
0 0 1.27924 0 112 0.76010 1.27924 68.3% - 0s
0 0 1.27913 0 116 0.76010 1.27913 68.3% - 0s
0 0 1.27912 0 118 0.76010 1.27912 68.3% - 0s
0 0 1.27902 0 113 0.76010 1.27902 68.3% - 0s
0 0 1.27865 0 114 0.76010 1.27865 68.2% - 0s
0 0 1.27865 0 78 0.76010 1.27865 68.2% - 0s
0 2 1.27865 0 76 0.76010 1.27865 68.2% - 0s
1535 617 0.98522 16 71 0.76010 0.98522 29.6% 13.5 5s
* 2909 273 61 0.7607287 0.81520 7.16% 13.7 7s
* 3158 192 66 0.7629012 0.80277 5.23% 13.2 7s
* 3810 0 64 0.7634067 0.78040 2.23% 12.1 8s
Cutting planes:
Learned: 2
Gomory: 42
Cover: 17
Implied bound: 10
Projected implied bound: 26
Clique: 4
MIR: 21
Flow cover: 62
Flow path: 3
Inf proof: 33
Explored 3936 nodes (48721 simplex iterations) in 8.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.763407 0.762901 0.760729 0.7601
Optimal solution found (tolerance 1.00e-02)
Best objective 7.634066802854e-01, best bound 7.634066802854e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3p13gvgo.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgz0sbz_u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.74932
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.507716e+00, 722 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50772 0 61 0.74932 1.50772 101% - 0s
0 0 1.44954 0 108 0.74932 1.44954 93.4% - 0s
0 0 1.44252 0 102 0.74932 1.44252 92.5% - 0s
0 0 1.34150 0 100 0.74932 1.34150 79.0% - 0s
0 0 1.33978 0 106 0.74932 1.33978 78.8% - 0s
0 0 1.30247 0 111 0.74932 1.30247 73.8% - 0s
0 0 1.30037 0 112 0.74932 1.30037 73.5% - 0s
0 0 1.29740 0 116 0.74932 1.29740 73.1% - 0s
0 0 1.29740 0 120 0.74932 1.29740 73.1% - 0s
0 0 1.29702 0 115 0.74932 1.29702 73.1% - 0s
0 0 1.29688 0 116 0.74932 1.29688 73.1% - 0s
0 0 1.29527 0 113 0.74932 1.29527 72.9% - 0s
0 0 1.29513 0 113 0.74932 1.29513 72.8% - 0s
0 0 1.29381 0 117 0.74932 1.29381 72.7% - 0s
0 0 1.29372 0 116 0.74932 1.29372 72.7% - 0s
0 0 1.29365 0 110 0.74932 1.29365 72.6% - 0s
0 0 1.29352 0 114 0.74932 1.29352 72.6% - 0s
0 0 1.29336 0 113 0.74932 1.29336 72.6% - 0s
0 0 1.29336 0 81 0.74932 1.29336 72.6% - 0s
0 2 1.29116 0 81 0.74932 1.29116 72.3% - 0s
* 1069 424 91 0.7504854 1.09913 46.5% 18.4 4s
1106 418 cutoff 89 0.75049 1.09913 46.5% 18.4 5s
* 1114 395 93 0.7522174 1.09913 46.1% 18.3 5s
* 1115 377 92 0.7527737 1.09913 46.0% 18.2 5s
3451 471 0.78170 49 39 0.75277 0.87589 16.4% 18.0 10s
Cutting planes:
Learned: 2
Gomory: 44
Cover: 10
Implied bound: 22
Projected implied bound: 29
Clique: 1
MIR: 24
Flow cover: 85
Flow path: 6
Inf proof: 42
Explored 4989 nodes (77622 simplex iterations) in 11.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.752774 0.752217 0.750485 0.74932
Optimal solution found (tolerance 1.00e-02)
Best objective 7.527737170854e-01, best bound 7.563439407991e-01, gap 0.4743%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphhm_4i1r.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvioo83qn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.733927
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.464148e+00, 714 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46415 0 62 0.73393 1.46415 99.5% - 0s
0 0 1.40815 0 108 0.73393 1.40815 91.9% - 0s
0 0 1.40136 0 103 0.73393 1.40136 90.9% - 0s
0 0 1.26423 0 101 0.73393 1.26423 72.3% - 0s
0 0 1.26292 0 106 0.73393 1.26292 72.1% - 0s
0 0 1.25606 0 103 0.73393 1.25606 71.1% - 0s
0 0 1.25514 0 106 0.73393 1.25514 71.0% - 0s
0 0 1.25336 0 105 0.73393 1.25336 70.8% - 0s
0 0 1.25303 0 105 0.73393 1.25303 70.7% - 0s
0 0 1.25283 0 106 0.73393 1.25283 70.7% - 0s
0 0 1.25264 0 104 0.73393 1.25264 70.7% - 0s
0 0 1.25264 0 85 0.73393 1.25264 70.7% - 0s
0 2 1.25264 0 85 0.73393 1.25264 70.7% - 0s
1126 488 cutoff 26 0.73393 1.01962 38.9% 17.2 5s
H 2489 538 0.7339268 0.89353 21.7% 16.6 7s
3900 782 infeasible 37 0.73393 0.83760 14.1% 15.4 10s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 4
Implied bound: 15
Projected implied bound: 28
Clique: 5
MIR: 17
Flow cover: 89
Flow path: 4
GUB cover: 1
Inf proof: 50
Network: 1
Explored 6071 nodes (81842 simplex iterations) in 12.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.733927 0.733927
Optimal solution found (tolerance 1.00e-02)
Best objective 7.339267552591e-01, best bound 7.339267552591e-01, gap 0.0000%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmsdo19x6.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp911_t8vr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732832
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.495955e+00, 814 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49595 0 65 0.73283 1.49595 104% - 0s
0 0 1.44107 0 111 0.73283 1.44107 96.6% - 0s
0 0 1.43447 0 100 0.73283 1.43447 95.7% - 0s
0 0 1.34224 0 110 0.73283 1.34224 83.2% - 0s
0 0 1.34163 0 113 0.73283 1.34163 83.1% - 0s
0 0 1.31587 0 107 0.73283 1.31587 79.6% - 0s
0 0 1.31507 0 107 0.73283 1.31507 79.5% - 0s
0 0 1.31307 0 108 0.73283 1.31307 79.2% - 0s
0 0 1.31307 0 108 0.73283 1.31307 79.2% - 0s
0 0 1.31205 0 108 0.73283 1.31205 79.0% - 0s
0 0 1.31186 0 109 0.73283 1.31186 79.0% - 0s
0 0 1.31163 0 109 0.73283 1.31163 79.0% - 0s
0 0 1.31158 0 109 0.73283 1.31158 79.0% - 0s
0 0 1.31149 0 107 0.73283 1.31149 79.0% - 0s
0 0 1.31149 0 84 0.73283 1.31149 79.0% - 0s
0 2 1.31149 0 84 0.73283 1.31149 79.0% - 0s
1215 511 infeasible 20 0.73283 1.10230 50.4% 16.5 5s
4910 894 0.75730 44 50 0.73283 0.84574 15.4% 12.4 10s
H 6239 754 0.7328325 0.80986 10.5% 12.1 12s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 4
Implied bound: 29
Projected implied bound: 30
Clique: 1
MIR: 20
Flow cover: 75
Flow path: 3
Inf proof: 61
Network: 2
Explored 7696 nodes (90650 simplex iterations) in 14.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.732832 0.732832
Optimal solution found (tolerance 1.00e-02)
Best objective 7.328324750346e-01, best bound 7.382068131639e-01, gap 0.7334%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj5yn237_.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5jsfg8f6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.727106
Presolve removed 481 rows and 301 columns
Presolve time: 0.03s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.467739e+00, 813 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46774 0 69 0.72711 1.46774 102% - 0s
0 0 1.41709 0 117 0.72711 1.41709 94.9% - 0s
0 0 1.41071 0 108 0.72711 1.41071 94.0% - 0s
0 0 1.29591 0 112 0.72711 1.29591 78.2% - 0s
0 0 1.29510 0 112 0.72711 1.29510 78.1% - 0s
0 0 1.28865 0 111 0.72711 1.28865 77.2% - 0s
0 0 1.28771 0 114 0.72711 1.28771 77.1% - 0s
0 0 1.28569 0 118 0.72711 1.28569 76.8% - 0s
0 0 1.28569 0 120 0.72711 1.28569 76.8% - 0s
0 0 1.28530 0 122 0.72711 1.28530 76.8% - 0s
0 0 1.28500 0 124 0.72711 1.28500 76.7% - 0s
0 0 1.28479 0 124 0.72711 1.28479 76.7% - 0s
0 0 1.28479 0 99 0.72711 1.28479 76.7% - 0s
0 2 1.28479 0 97 0.72711 1.28479 76.7% - 0s
1127 431 0.89754 32 56 0.72711 1.02627 41.1% 16.7 5s
H 3320 666 0.7271056 0.86862 19.5% 13.0 8s
4736 751 0.78998 32 82 0.72711 0.82445 13.4% 12.6 10s
Cutting planes:
Gomory: 32
Cover: 5
Implied bound: 28
Projected implied bound: 28
Clique: 2
MIR: 20
Flow cover: 77
Flow path: 4
GUB cover: 1
Inf proof: 47
Explored 7013 nodes (86954 simplex iterations) in 13.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.727106 0.727106
Optimal solution found (tolerance 1.00e-02)
Best objective 7.271056374401e-01, best bound 7.287800366501e-01, gap 0.2303%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpah0fzmag.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp697v1rxg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.738235
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.462298e+00, 849 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46230 0 68 0.73823 1.46230 98.1% - 0s
0 0 1.41328 0 118 0.73823 1.41328 91.4% - 0s
0 0 1.40709 0 109 0.73823 1.40709 90.6% - 0s
0 0 1.30399 0 121 0.73823 1.30399 76.6% - 0s
0 0 1.30362 0 121 0.73823 1.30362 76.6% - 0s
0 0 1.29845 0 116 0.73823 1.29845 75.9% - 0s
0 0 1.29805 0 115 0.73823 1.29805 75.8% - 0s
0 0 1.29680 0 124 0.73823 1.29680 75.7% - 0s
0 0 1.29674 0 124 0.73823 1.29674 75.7% - 0s
0 0 1.29656 0 125 0.73823 1.29656 75.6% - 0s
0 0 1.29638 0 125 0.73823 1.29638 75.6% - 0s
0 0 1.29628 0 125 0.73823 1.29628 75.6% - 0s
0 0 1.29628 0 102 0.73823 1.29628 75.6% - 0s
0 2 1.29628 0 100 0.73823 1.29628 75.6% - 0s
902 553 infeasible 21 0.73823 1.13455 53.7% 16.2 5s
3104 651 0.78031 41 92 0.73823 0.92313 25.0% 17.5 10s
6177 833 0.79224 58 53 0.73823 0.82171 11.3% 15.3 15s
Cutting planes:
Learned: 4
Gomory: 55
Cover: 3
Implied bound: 18
Projected implied bound: 42
Clique: 2
MIR: 38
Flow cover: 111
Flow path: 3
Inf proof: 77
Explored 9235 nodes (128145 simplex iterations) in 18.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.738235
Optimal solution found (tolerance 1.00e-02)
Best objective 7.382348716409e-01, best bound 7.382348716409e-01, gap 0.0000%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx6tx8udx.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxuf4e26r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732635
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.442852e+00, 848 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44285 0 71 0.73263 1.44285 96.9% - 0s
0 0 1.37769 0 129 0.73263 1.37769 88.0% - 0s
0 0 1.37125 0 119 0.73263 1.37125 87.2% - 0s
0 0 1.31774 0 123 0.73263 1.31774 79.9% - 0s
0 0 1.31667 0 124 0.73263 1.31667 79.7% - 0s
0 0 1.31299 0 134 0.73263 1.31299 79.2% - 0s
0 0 1.31254 0 134 0.73263 1.31254 79.2% - 0s
0 0 1.31202 0 133 0.73263 1.31202 79.1% - 0s
0 0 1.31166 0 126 0.73263 1.31166 79.0% - 0s
0 0 1.31157 0 134 0.73263 1.31157 79.0% - 0s
0 0 1.31153 0 126 0.73263 1.31153 79.0% - 0s
0 0 1.31153 0 126 0.73263 1.31153 79.0% - 0s
0 0 1.31153 0 97 0.73263 1.31153 79.0% - 0s
0 2 1.31153 0 94 0.73263 1.31153 79.0% - 0s
1008 560 0.90945 40 81 0.73263 1.14546 56.3% 15.0 5s
H 1685 528 0.7338329 1.04891 42.9% 16.0 6s
3454 851 0.81955 39 77 0.73383 0.94790 29.2% 14.7 10s
H 4432 954 0.7338329 0.87692 19.5% 14.2 11s
6583 1164 infeasible 41 0.73383 0.82125 11.9% 13.6 15s
9559 345 0.75822 60 28 0.73383 0.75857 3.37% 13.0 20s
Cutting planes:
Learned: 1
Gomory: 33
Cover: 1
Implied bound: 22
Projected implied bound: 51
Clique: 2
MIR: 26
Flow cover: 95
Flow path: 2
Inf proof: 57
Network: 1
Explored 10230 nodes (131154 simplex iterations) in 20.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.733833 0.733833 0.732635
Optimal solution found (tolerance 1.00e-02)
Best objective 7.338329395657e-01, best bound 7.377278452564e-01, gap 0.5308%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprofl12h3.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpooth4pnf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.727494
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.422927e+00, 909 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42293 0 74 0.72749 1.42293 95.6% - 0s
0 0 1.37683 0 126 0.72749 1.37683 89.3% - 0s
0 0 1.37101 0 121 0.72749 1.37101 88.5% - 0s
0 0 1.28317 0 122 0.72749 1.28317 76.4% - 0s
0 0 1.28285 0 121 0.72749 1.28285 76.3% - 0s
0 0 1.27682 0 121 0.72749 1.27682 75.5% - 0s
0 0 1.27604 0 123 0.72749 1.27604 75.4% - 0s
0 0 1.27468 0 127 0.72749 1.27468 75.2% - 0s
0 0 1.27465 0 128 0.72749 1.27465 75.2% - 0s
0 0 1.27443 0 126 0.72749 1.27443 75.2% - 0s
0 0 1.27429 0 127 0.72749 1.27429 75.2% - 0s
0 0 1.27428 0 126 0.72749 1.27428 75.2% - 0s
0 0 1.27428 0 99 0.72749 1.27428 75.2% - 0s
0 2 1.27428 0 99 0.72749 1.27428 75.2% - 0s
770 433 1.07651 17 96 0.72749 1.13040 55.4% 16.9 5s
2882 593 0.83215 40 89 0.72749 0.93030 27.9% 16.8 10s
H 2905 611 0.7279845 0.93030 27.8% 16.8 10s
H 2908 612 0.7279845 0.93030 27.8% 16.8 10s
6530 1200 0.75532 57 42 0.72798 0.81283 11.7% 15.1 15s
Cutting planes:
Learned: 1
Gomory: 44
Cover: 4
Implied bound: 35
Projected implied bound: 36
Clique: 2
MIR: 30
Flow cover: 97
Flow path: 4
Inf proof: 91
Explored 9922 nodes (139667 simplex iterations) in 19.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.727985 0.727985 0.727494
Optimal solution found (tolerance 1.00e-02)
Best objective 7.279845103176e-01, best bound 7.313515085777e-01, gap 0.4625%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2wc1459b.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdhy6ys7f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.718342
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.407667e+00, 861 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40767 0 73 0.71834 1.40767 96.0% - 0s
0 0 1.36294 0 130 0.71834 1.36294 89.7% - 0s
0 0 1.35727 0 119 0.71834 1.35727 88.9% - 0s
0 0 1.27987 0 132 0.71834 1.27987 78.2% - 0s
0 0 1.27941 0 133 0.71834 1.27941 78.1% - 0s
0 0 1.27451 0 135 0.71834 1.27451 77.4% - 0s
0 0 1.27391 0 134 0.71834 1.27391 77.3% - 0s
0 0 1.27325 0 137 0.71834 1.27325 77.2% - 0s
0 0 1.27324 0 140 0.71834 1.27324 77.2% - 0s
0 0 1.27255 0 140 0.71834 1.27255 77.2% - 0s
0 0 1.27255 0 140 0.71834 1.27255 77.2% - 0s
0 0 1.27255 0 140 0.71834 1.27255 77.2% - 0s
0 0 1.27255 0 140 0.71834 1.27255 77.2% - 0s
0 0 1.27249 0 109 0.71834 1.27249 77.1% - 0s
0 0 1.27245 0 109 0.71834 1.27245 77.1% - 0s
0 0 1.27245 0 109 0.71834 1.27245 77.1% - 0s
0 0 1.27245 0 106 0.71834 1.27245 77.1% - 0s
0 2 1.27245 0 104 0.71834 1.27245 77.1% - 0s
778 520 1.10008 16 113 0.71834 1.10008 53.1% 16.8 5s
2437 514 infeasible 47 0.71834 0.99883 39.0% 20.7 10s
H 2790 636 0.7189221 0.95475 32.8% 19.8 10s
4962 978 cutoff 42 0.71892 0.85840 19.4% 16.8 15s
* 8505 957 81 0.7194288 0.76618 6.50% 14.3 19s
9055 710 infeasible 80 0.71943 0.75108 4.40% 14.1 20s
Cutting planes:
Learned: 1
Gomory: 59
Cover: 5
Implied bound: 30
Projected implied bound: 38
Clique: 4
MIR: 26
Flow cover: 134
Flow path: 6
Inf proof: 82
Explored 10046 nodes (138488 simplex iterations) in 21.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.719429 0.718922 0.718342
Optimal solution found (tolerance 1.00e-02)
Best objective 7.194287927057e-01, best bound 7.260870070905e-01, gap 0.9255%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn6t5pemh.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp__1j_jgl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.720796
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.382792e+00, 953 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38279 0 75 0.72080 1.38279 91.8% - 0s
0 0 1.33920 0 128 0.72080 1.33920 85.8% - 0s
0 0 1.33369 0 122 0.72080 1.33369 85.0% - 0s
0 0 1.25996 0 142 0.72080 1.25996 74.8% - 0s
0 0 1.25899 0 143 0.72080 1.25899 74.7% - 0s
0 0 1.25775 0 144 0.72080 1.25775 74.5% - 0s
0 0 1.25748 0 143 0.72080 1.25748 74.5% - 0s
0 0 1.25705 0 144 0.72080 1.25705 74.4% - 0s
0 0 1.25696 0 136 0.72080 1.25696 74.4% - 0s
0 0 1.25689 0 135 0.72080 1.25689 74.4% - 0s
0 0 1.25607 0 141 0.72080 1.25607 74.3% - 0s
0 0 1.25433 0 140 0.72080 1.25433 74.0% - 0s
0 0 1.25408 0 146 0.72080 1.25408 74.0% - 0s
0 0 1.25403 0 146 0.72080 1.25403 74.0% - 0s
0 0 1.25399 0 146 0.72080 1.25399 74.0% - 0s
0 0 1.25399 0 104 0.72080 1.25399 74.0% - 0s
0 2 1.25399 0 99 0.72080 1.25399 74.0% - 0s
768 506 1.05750 18 122 0.72080 1.10720 53.6% 16.1 5s
* 1955 610 136 0.7210290 1.02531 42.2% 19.6 8s
* 2257 606 126 0.7218445 0.98764 36.8% 18.7 9s
2478 674 0.82648 27 120 0.72184 0.96437 33.6% 18.7 10s
5120 1248 0.73839 80 42 0.72184 0.86408 19.7% 16.3 15s
7974 1298 0.77995 67 53 0.72184 0.79234 9.77% 15.0 20s
Cutting planes:
Learned: 3
Gomory: 51
Cover: 6
Implied bound: 50
Projected implied bound: 51
Clique: 2
MIR: 31
Flow cover: 115
Flow path: 5
Inf proof: 93
Explored 10859 nodes (157501 simplex iterations) in 24.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.721844 0.721029 0.720796
Optimal solution found (tolerance 1.00e-02)
Best objective 7.218444611073e-01, best bound 7.256366326732e-01, gap 0.5253%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuyrioy5h.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvsi9cokq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714056
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.350781e+00, 894 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35078 0 78 0.71406 1.35078 89.2% - 0s
0 0 1.29321 0 120 0.71406 1.29321 81.1% - 0s
0 0 1.28682 0 115 0.71406 1.28682 80.2% - 0s
0 0 1.20335 0 111 0.71406 1.20335 68.5% - 0s
0 0 1.20283 0 114 0.71406 1.20283 68.5% - 0s
0 0 1.19804 0 118 0.71406 1.19804 67.8% - 0s
0 0 1.19758 0 116 0.71406 1.19758 67.7% - 0s
0 0 1.19735 0 119 0.71406 1.19735 67.7% - 0s
0 0 1.19734 0 119 0.71406 1.19734 67.7% - 0s
0 0 1.19729 0 119 0.71406 1.19729 67.7% - 0s
0 0 1.19675 0 116 0.71406 1.19675 67.6% - 0s
0 0 1.19675 0 93 0.71406 1.19675 67.6% - 0s
0 2 1.19675 0 93 0.71406 1.19675 67.6% - 0s
774 555 infeasible 17 0.71406 1.08191 51.5% 17.4 5s
2289 702 0.92538 26 99 0.71406 1.01274 41.8% 22.5 10s
5496 1653 infeasible 42 0.71406 0.87946 23.2% 18.2 15s
9474 1245 infeasible 52 0.71406 0.77752 8.89% 14.6 20s
Cutting planes:
Learned: 1
Gomory: 54
Cover: 5
Implied bound: 24
Projected implied bound: 47
MIR: 25
Flow cover: 89
Flow path: 3
Inf proof: 103
Explored 12450 nodes (172860 simplex iterations) in 23.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.714056
Optimal solution found (tolerance 1.00e-02)
Best objective 7.140563199437e-01, best bound 7.194960264783e-01, gap 0.7618%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfz0lfy78.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf5daz8kb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714776
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.333453e+00, 989 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33345 0 77 0.71478 1.33345 86.6% - 0s
0 0 1.27800 0 139 0.71478 1.27800 78.8% - 0s
0 0 1.27245 0 129 0.71478 1.27245 78.0% - 0s
0 0 1.22520 0 144 0.71478 1.22520 71.4% - 0s
0 0 1.22470 0 144 0.71478 1.22470 71.3% - 0s
0 0 1.22057 0 143 0.71478 1.22057 70.8% - 0s
0 0 1.22007 0 141 0.71478 1.22007 70.7% - 0s
0 0 1.21957 0 144 0.71478 1.21957 70.6% - 0s
0 0 1.21951 0 145 0.71478 1.21951 70.6% - 0s
0 0 1.21948 0 147 0.71478 1.21948 70.6% - 0s
0 0 1.21947 0 151 0.71478 1.21947 70.6% - 0s
0 0 1.21947 0 105 0.71478 1.21947 70.6% - 0s
0 2 1.21947 0 105 0.71478 1.21947 70.6% - 0s
770 478 1.04746 14 108 0.71478 1.07981 51.1% 15.8 5s
2715 735 0.79498 31 99 0.71478 0.96645 35.2% 16.1 10s
6841 1663 infeasible 45 0.71478 0.86276 20.7% 13.5 15s
10587 1752 0.75954 77 58 0.71478 0.80681 12.9% 12.7 20s
12739 1368 infeasible 66 0.71478 0.77448 8.35% 12.9 25s
*14473 629 136 0.7151687 0.74332 3.94% 12.7 27s
Cutting planes:
Gomory: 39
Cover: 4
Implied bound: 35
Projected implied bound: 42
Clique: 2
MIR: 32
Flow cover: 96
Flow path: 4
Inf proof: 143
Explored 15566 nodes (197877 simplex iterations) in 29.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.715169 0.714776
Optimal solution found (tolerance 1.00e-02)
Best objective 7.151687429882e-01, best bound 7.216085902038e-01, gap 0.9005%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa47zrz_a.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuc5lqg71.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.704324
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.310834e+00, 996 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31083 0 79 0.70432 1.31083 86.1% - 0s
0 0 1.27072 0 143 0.70432 1.27072 80.4% - 0s
0 0 1.26563 0 137 0.70432 1.26563 79.7% - 0s
0 0 1.20913 0 158 0.70432 1.20913 71.7% - 0s
0 0 1.20814 0 158 0.70432 1.20814 71.5% - 0s
0 0 1.20513 0 158 0.70432 1.20513 71.1% - 0s
0 0 1.20463 0 161 0.70432 1.20463 71.0% - 0s
0 0 1.20396 0 154 0.70432 1.20396 70.9% - 0s
0 0 1.20303 0 160 0.70432 1.20303 70.8% - 0s
0 0 1.20289 0 158 0.70432 1.20289 70.8% - 0s
0 0 1.20287 0 158 0.70432 1.20287 70.8% - 0s
0 0 1.20285 0 157 0.70432 1.20285 70.8% - 0s
0 0 1.20274 0 159 0.70432 1.20274 70.8% - 0s
0 0 1.20264 0 159 0.70432 1.20264 70.8% - 0s
0 0 1.20264 0 107 0.70432 1.20264 70.8% - 0s
0 2 1.20264 0 106 0.70432 1.20264 70.8% - 0s
769 493 1.07449 12 99 0.70432 1.08691 54.3% 16.8 5s
1832 606 infeasible 26 0.70432 0.98747 40.2% 19.8 10s
5013 1176 0.76473 72 49 0.70432 0.84734 20.3% 15.6 15s
H 5079 1176 0.7043239 0.84734 20.3% 15.5 15s
H 5154 1229 0.7062406 0.84629 19.8% 15.4 15s
H 5187 1240 0.7074870 0.84629 19.6% 15.4 15s
9134 1463 infeasible 41 0.70749 0.77046 8.90% 13.2 20s
* 9478 1504 114 0.7096616 0.76909 8.37% 13.1 20s
12435 738 infeasible 92 0.70966 0.72930 2.77% 12.9 25s
*12694 656 110 0.7100941 0.72742 2.44% 12.9 25s
Cutting planes:
Learned: 1
Gomory: 40
Cover: 2
Implied bound: 26
Projected implied bound: 58
Clique: 2
MIR: 23
Flow cover: 109
Flow path: 4
Inf proof: 112
Explored 13424 nodes (174304 simplex iterations) in 26.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.710094 0.709662 0.707487 ... 0.704324
Optimal solution found (tolerance 1.00e-02)
Best objective 7.100941224709e-01, best bound 7.170744230426e-01, gap 0.9830%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphw1beuo_.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm43ymc_9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.706932
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.303742e+00, 1059 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30374 0 80 0.70693 1.30374 84.4% - 0s
0 0 1.26475 0 141 0.70693 1.26475 78.9% - 0s
0 0 1.25977 0 132 0.70693 1.25977 78.2% - 0s
0 0 1.21284 0 146 0.70693 1.21284 71.6% - 0s
0 0 1.21257 0 147 0.70693 1.21257 71.5% - 0s
0 0 1.20750 0 150 0.70693 1.20750 70.8% - 0s
0 0 1.20711 0 150 0.70693 1.20711 70.8% - 0s
0 0 1.20622 0 152 0.70693 1.20622 70.6% - 0s
0 0 1.20622 0 155 0.70693 1.20622 70.6% - 0s
0 0 1.20617 0 155 0.70693 1.20617 70.6% - 0s
0 0 1.20606 0 155 0.70693 1.20606 70.6% - 0s
0 0 1.20606 0 154 0.70693 1.20606 70.6% - 0s
0 0 1.20606 0 104 0.70693 1.20606 70.6% - 0s
0 2 1.20606 0 102 0.70693 1.20606 70.6% - 0s
760 510 1.04823 18 100 0.70693 1.06558 50.7% 15.7 5s
H 2047 662 0.7086659 1.02050 44.0% 19.6 9s
2372 748 0.87563 23 125 0.70867 1.01066 42.6% 20.4 10s
H 3368 999 0.7086659 0.98164 38.5% 20.9 13s
4445 1018 0.75376 36 87 0.70867 0.89491 26.3% 19.1 15s
7534 1558 cutoff 37 0.70867 0.82666 16.7% 17.6 20s
10838 1920 cutoff 55 0.70867 0.78904 11.3% 16.5 25s
13955 1235 infeasible 51 0.70867 0.74411 5.00% 15.4 30s
Cutting planes:
Gomory: 38
Cover: 3
Implied bound: 40
Projected implied bound: 56
Clique: 1
MIR: 25
Flow cover: 99
Flow path: 2
Inf proof: 161
Explored 16628 nodes (238520 simplex iterations) in 34.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.708666 0.708666 0.706932
Optimal solution found (tolerance 1.00e-02)
Best objective 7.086658698638e-01, best bound 7.133518462798e-01, gap 0.6612%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7tt93bzu.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp59xdxzxd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.699147
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.285101e+00, 1076 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28510 0 82 0.69915 1.28510 83.8% - 0s
0 0 1.24702 0 140 0.69915 1.24702 78.4% - 0s
0 0 1.24215 0 134 0.69915 1.24215 77.7% - 0s
0 0 1.18672 0 157 0.69915 1.18672 69.7% - 0s
0 0 1.18605 0 159 0.69915 1.18605 69.6% - 0s
0 0 1.18272 0 158 0.69915 1.18272 69.2% - 0s
0 0 1.18230 0 160 0.69915 1.18230 69.1% - 0s
0 0 1.18198 0 163 0.69915 1.18198 69.1% - 0s
0 0 1.18175 0 158 0.69915 1.18175 69.0% - 0s
0 0 1.18154 0 159 0.69915 1.18154 69.0% - 0s
0 0 1.18122 0 159 0.69915 1.18122 69.0% - 0s
0 0 1.18113 0 159 0.69915 1.18113 68.9% - 0s
0 0 1.18113 0 160 0.69915 1.18113 68.9% - 0s
0 0 1.18112 0 161 0.69915 1.18112 68.9% - 0s
0 0 1.18112 0 158 0.69915 1.18112 68.9% - 0s
0 0 1.18112 0 102 0.69915 1.18112 68.9% - 0s
0 2 1.18112 0 101 0.69915 1.18112 68.9% - 0s
* 667 437 158 0.6996077 1.06726 52.6% 11.4 1s
761 528 0.82858 98 120 0.69961 1.06726 52.6% 11.4 5s
2056 694 0.72434 24 88 0.69961 0.98064 40.2% 20.3 10s
H 2840 900 0.6996077 0.95184 36.1% 20.2 11s
4093 1259 infeasible 34 0.69961 0.89269 27.6% 19.8 15s
7631 2336 0.76584 48 78 0.69961 0.83259 19.0% 17.6 20s
9997 2408 infeasible 53 0.69961 0.80205 14.6% 18.1 25s
*10302 2336 123 0.7003011 0.79965 14.2% 18.1 25s
12944 1542 infeasible 29 0.70030 0.75099 7.24% 17.0 30s
*14586 962 105 0.7004599 0.72839 3.99% 16.1 32s
16161 159 infeasible 61 0.70046 0.70811 1.09% 15.4 35s
Cutting planes:
Learned: 1
Gomory: 39
Cover: 3
Implied bound: 37
Projected implied bound: 49
Clique: 4
MIR: 23
Flow cover: 116
Flow path: 7
Inf proof: 135
Explored 16253 nodes (252289 simplex iterations) in 35.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.70046 0.700301 0.699608 ... 0.699147
Optimal solution found (tolerance 1.00e-02)
Best objective 7.004599089312e-01, best bound 7.057979043418e-01, gap 0.7621%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4zsdunbx.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi2m4_fq9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.689378
Presolve removed 624 rows and 389 columns
Presolve time: 0.04s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.257829e+00, 1033 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25783 0 85 0.68938 1.25783 82.5% - 0s
0 0 1.22110 0 145 0.68938 1.22110 77.1% - 0s
0 0 1.21636 0 142 0.68938 1.21636 76.4% - 0s
0 0 1.16230 0 160 0.68938 1.16230 68.6% - 0s
0 0 1.16142 0 162 0.68938 1.16142 68.5% - 0s
0 0 1.15764 0 168 0.68938 1.15764 67.9% - 0s
0 0 1.15718 0 169 0.68938 1.15718 67.9% - 0s
0 0 1.15700 0 165 0.68938 1.15700 67.8% - 0s
0 0 1.15699 0 165 0.68938 1.15699 67.8% - 0s
0 0 1.15692 0 165 0.68938 1.15692 67.8% - 0s
0 0 1.15685 0 167 0.68938 1.15685 67.8% - 0s
0 0 1.15685 0 111 0.68938 1.15685 67.8% - 0s
0 2 1.15685 0 111 0.68938 1.15685 67.8% - 0s
795 528 1.05719 13 110 0.68938 1.05719 53.4% 14.7 5s
H 1602 766 0.6893777 1.01808 47.7% 16.6 8s
H 1729 785 0.6893777 1.01808 47.7% 16.9 8s
1993 840 0.94911 25 108 0.68938 0.98240 42.5% 17.9 10s
2849 1081 0.79996 47 107 0.68938 0.95262 38.2% 18.5 15s
4662 1607 infeasible 34 0.68938 0.88165 27.9% 18.3 20s
7909 2130 0.77114 34 104 0.68938 0.82263 19.3% 16.5 25s
10366 1833 0.77479 34 106 0.68938 0.77479 12.4% 16.2 30s
13518 958 infeasible 117 0.68938 0.72416 5.05% 14.9 35s
15878 96 cutoff 62 0.68938 0.69760 1.19% 14.1 40s
Cutting planes:
Gomory: 39
Cover: 4
Implied bound: 40
Projected implied bound: 52
Clique: 1
MIR: 33
Flow cover: 105
Flow path: 2
Inf proof: 140
Explored 16236 nodes (227778 simplex iterations) in 40.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.689378 0.689378 0.689378
Optimal solution found (tolerance 1.00e-02)
Best objective 6.893777283082e-01, best bound 6.962161098021e-01, gap 0.9920%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyy0dpeav.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplpml07xh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.683828
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.243331e+00, 1053 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24333 0 86 0.68383 1.24333 81.8% - 0s
0 0 1.17864 0 160 0.68383 1.17864 72.4% - 0s
0 0 1.17383 0 154 0.68383 1.17383 71.7% - 0s
0 0 1.14663 0 151 0.68383 1.14663 67.7% - 0s
0 0 1.14622 0 149 0.68383 1.14622 67.6% - 0s
0 0 1.14464 0 161 0.68383 1.14464 67.4% - 0s
0 0 1.14383 0 161 0.68383 1.14383 67.3% - 0s
0 0 1.14371 0 156 0.68383 1.14371 67.3% - 0s
0 0 1.14371 0 156 0.68383 1.14371 67.3% - 0s
0 0 1.14359 0 154 0.68383 1.14359 67.2% - 0s
0 0 1.14353 0 156 0.68383 1.14353 67.2% - 0s
0 0 1.14323 0 151 0.68383 1.14323 67.2% - 0s
0 0 1.14319 0 154 0.68383 1.14319 67.2% - 0s
0 0 1.14312 0 168 0.68383 1.14312 67.2% - 0s
0 0 1.14311 0 168 0.68383 1.14311 67.2% - 0s
0 0 1.14309 0 170 0.68383 1.14309 67.2% - 0s
0 0 1.14309 0 115 0.68383 1.14309 67.2% - 0s
0 2 1.14309 0 114 0.68383 1.14309 67.2% - 0s
789 507 1.01708 9 130 0.68383 1.02863 50.4% 14.0 5s
* 1330 639 187 0.6852718 0.99861 45.7% 20.5 9s
1588 718 0.79018 67 106 0.68527 0.99861 45.7% 21.0 10s
H 2416 826 0.6852718 0.97463 42.2% 22.1 14s
2766 1064 0.86123 30 135 0.68527 0.95620 39.5% 21.7 15s
4794 1597 0.76170 63 100 0.68527 0.87284 27.4% 21.9 20s
H 6489 1972 0.6852718 0.83520 21.9% 20.0 23s
7761 2007 infeasible 50 0.68527 0.80608 17.6% 18.7 25s
9910 2063 infeasible 52 0.68527 0.77698 13.4% 17.9 30s
12639 1582 infeasible 82 0.68527 0.73817 7.72% 17.0 35s
15748 867 cutoff 86 0.68527 0.70542 2.94% 15.8 40s
*17652 374 139 0.6853128 0.69329 1.16% 15.2 43s
Cutting planes:
Learned: 1
Gomory: 69
Cover: 7
Implied bound: 48
Projected implied bound: 50
MIR: 37
Flow cover: 133
Flow path: 6
Inf proof: 207
Explored 18051 nodes (273566 simplex iterations) in 43.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.685313 0.685272 0.685272 ... 0.683828
Optimal solution found (tolerance 1.00e-02)
Best objective 6.853128424816e-01, best bound 6.911147545783e-01, gap 0.8466%
Run 8
Seed for training 111
Seed for simulation 31
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-221.59731125, 105.96037663, 70.64025109]])
fopt: 0.6468538686511804
fun: -0.6461790534035958
message: 'Optimization terminated successfully.'
nfev: 385
nit: 6
status: 0
success: True
x: array([ 79.99997772, 233. , 77.0619974 ])
xopt: array([ 80., 233., 78.])
zopt: array([ 80., 313., 391.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_3d4okfz.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprybjvhnb.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.646854
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.273077e+00, 1256 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27308 0 118 0.64685 1.27308 96.8% - 0s
0 0 1.25431 0 132 0.64685 1.25431 93.9% - 0s
0 0 1.25372 0 131 0.64685 1.25372 93.8% - 0s
0 0 1.25046 0 138 0.64685 1.25046 93.3% - 0s
0 0 1.24559 0 140 0.64685 1.24559 92.6% - 0s
0 0 1.23715 0 156 0.64685 1.23715 91.3% - 0s
0 0 1.23185 0 153 0.64685 1.23185 90.4% - 0s
0 0 1.23053 0 152 0.64685 1.23053 90.2% - 0s
0 0 1.23053 0 151 0.64685 1.23053 90.2% - 0s
0 0 1.23016 0 156 0.64685 1.23016 90.2% - 0s
0 0 1.23016 0 160 0.64685 1.23016 90.2% - 0s
0 0 1.23015 0 162 0.64685 1.23015 90.2% - 0s
0 0 1.23015 0 162 0.64685 1.23015 90.2% - 0s
0 0 1.23015 0 162 0.64685 1.23015 90.2% - 0s
0 0 1.23015 0 141 0.64685 1.23015 90.2% - 0s
0 2 1.23015 0 140 0.64685 1.23015 90.2% - 0s
1687 679 1.05587 45 107 0.64685 1.09960 70.0% 14.7 5s
H 3870 1238 0.6552532 1.04261 59.1% 13.6 8s
H 3941 1209 0.6813263 1.04043 52.7% 13.7 9s
4153 1204 0.86708 77 92 0.68133 1.03733 52.3% 13.8 10s
H 4796 1093 0.7574626 1.01236 33.7% 13.5 11s
H 6012 1262 0.7935684 0.97794 23.2% 13.0 13s
6951 1351 0.83590 66 86 0.79357 0.95046 19.8% 12.5 15s
* 8987 1921 134 0.7953725 0.94296 18.6% 11.5 17s
* 8991 1914 134 0.7966236 0.94296 18.4% 11.5 17s
*10893 2485 116 0.7969140 0.92608 16.2% 10.9 19s
*11024 2551 122 0.7978594 0.92535 16.0% 10.8 19s
*11216 2653 122 0.7998619 0.92535 15.7% 10.7 19s
*11219 2637 123 0.8012326 0.92535 15.5% 10.7 19s
11378 2602 0.90278 66 94 0.80123 0.92465 15.4% 10.7 20s
H15093 3638 0.8012326 0.90282 12.7% 10.3 24s
H15162 3623 0.8025646 0.90278 12.5% 10.3 24s
15163 3595 0.88330 64 86 0.80256 0.90278 12.5% 10.3 25s
*15407 3595 106 0.8049709 0.90172 12.0% 10.3 25s
18800 4097 0.88127 87 48 0.80497 0.88976 10.5% 10.0 30s
22027 4049 infeasible 81 0.80497 0.87609 8.84% 10.0 35s
22973 4030 0.85663 74 62 0.80497 0.87303 8.45% 10.0 49s
23423 3975 cutoff 78 0.80497 0.87068 8.16% 10.0 50s
25752 3581 infeasible 101 0.80497 0.86236 7.13% 10.6 55s
H28228 3075 0.8070370 0.85333 5.74% 11.2 60s
29792 2504 infeasible 67 0.80704 0.84463 4.66% 11.5 65s
32453 1257 infeasible 92 0.80704 0.82284 1.96% 11.9 70s
Cutting planes:
Gomory: 17
Cover: 2
Implied bound: 21
Projected implied bound: 8
Clique: 1
MIR: 25
Flow cover: 83
Flow path: 4
Inf proof: 5
Explored 34287 nodes (409313 simplex iterations) in 73.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.807037 0.804971 0.802565 ... 0.795373
Optimal solution found (tolerance 0.00e+00)
Best objective 8.070369558028e-01, best bound 8.070369558028e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3bsevr0g.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6jrsp4ar.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 572 rows and 427 columns
Presolve time: 0.00s
Presolved: 374 rows, 384 columns, 1599 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.1441102e+02 6.317112e+03 0.000000e+00 0s
272 1.2496933e+01 0.000000e+00 0.000000e+00 0s
Solved in 272 iterations and 0.01 seconds
Optimal objective 1.249693294e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.05470433e-08, -1.06566224e-08, -4.79472356e-07]])
fopt: 2.0659541412703235
fun: -2.074493587116949
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 16.11680529, -1. , -87.99580146])
xopt: array([16., 0., 0.])
zopt: array([16., 16., 16.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06799163, 0.00366494, 0.00322614]])
fopt: 1.4690502842670616
fun: -1.4800163592974238
message: 'Optimization terminated successfully.'
nfev: 287
nit: 4
status: 0
success: True
x: array([43.00498115, -0.99977956, -0.99817903])
xopt: array([43., 0., 0.])
zopt: array([43., 43., 43.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.12679132, 0.41565308, 0.00467069]])
fopt: 0.9838862172903382
fun: -0.9903340722099345
message: 'Optimization terminated successfully.'
nfev: 234
nit: 3
status: 0
success: True
x: array([ 55.16559455, -171.99627032, -0.99666681])
xopt: array([55., 0., 0.])
zopt: array([55., 55., 55.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.72167385e-06, 5.15231282e-08, 2.31817499e-06]])
fopt: 0.8100813802373547
fun: -0.8130476128468275
message: 'Optimization terminated successfully.'
nfev: 213
nit: 2
status: 0
success: True
x: array([ 67.83110523, -0.99999994, -87.99579866])
xopt: array([68., 0., 0.])
zopt: array([68., 68., 68.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.07610645e-03, -1.02077796e-13, -3.33602541e-13]])
fopt: 1.074574025408286
fun: -1.0761414756163248
message: 'Optimization terminated successfully.'
nfev: 296
nit: 2
status: 0
success: True
x: array([89.87964794, 1. , 1.00000001])
xopt: array([89., 1., 1.])
zopt: array([89., 90., 91.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.58906011e-06, -9.10317694e-16, -2.52935977e-16]])
fopt: 0.8910633252559172
fun: -0.8950282965023334
message: 'Optimization terminated successfully.'
nfev: 331
nit: 3
status: 0
success: True
x: array([89.3084771 , 1.00000001, -0.43350514])
xopt: array([89., 1., 0.])
zopt: array([89., 90., 90.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.23779940e-05, -4.70123586e-09, -0.00000000e+00]])
fopt: 1.0029300191818245
fun: -1.0058564377110162
message: 'Optimization terminated successfully.'
nfev: 262
nit: 2
status: 0
success: True
x: array([117.31733763, 1.0168891 , 1. ])
xopt: array([117., 1., 1.])
zopt: array([117., 118., 119.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.43637636e-04, -1.43535739e-15, -0.00000000e+00]])
fopt: 0.9778132977934229
fun: -0.9797591982440135
message: 'Optimization terminated successfully.'
nfev: 294
nit: 2
status: 0
success: True
x: array([134.51890173, 1. , 1. ])
xopt: array([134., 1., 1.])
zopt: array([134., 135., 136.])
*******************************************
Period: 9
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.992004835257011
fun: -0.9932684670075984
message: 'Optimization terminated successfully.'
nfev: 335
nit: 3
status: 0
success: True
x: array([153.39879549, 1. , -0.25872637])
xopt: array([153., 1., 0.])
zopt: array([153., 154., 154.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.58291683e-01, 8.69620200e-09, -1.98397089e-03]])
fopt: 0.9769524889958991
fun: -0.9791400673627795
message: 'Optimization terminated successfully.'
nfev: 303
nit: 3
status: 0
success: True
x: array([173.25904737, 1.00000004, -0.99690669])
xopt: array([173., 1., 0.])
zopt: array([173., 174., 174.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.88057754e-03, 1.02206354e-05, 1.02206354e-05]])
fopt: 0.8726832837562404
fun: -0.8756945340587804
message: 'Optimization terminated successfully.'
nfev: 261
nit: 3
status: 0
success: True
x: array([185.00168255, 2.01548797, 2.0000033 ])
xopt: array([185., 2., 2.])
zopt: array([185., 187., 189.])
*******************************************
Period: 12
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.72028100e-03, 4.68229388e-05, 4.68229388e-05]])
fopt: 0.803133555821582
fun: -0.8016685253590522
message: 'Optimization terminated successfully.'
nfev: 335
nit: 3
status: 0
success: True
x: array([208.60627976, 2.00004626, 2.0163079 ])
xopt: array([208., 2., 2.])
zopt: array([208., 210., 212.])
*******************************************
Period: 13
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.740551001672802
fun: -0.7423696376287074
message: 'Optimization terminated successfully.'
nfev: 417
nit: 5
status: 0
success: True
x: array([228.54106778, -0.54235434, 3.00000035])
xopt: array([228., 0., 3.])
zopt: array([228., 228., 231.])
*******************************************
Period: 14
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.15070398, -0. , -0. ]])
fopt: 0.6703860367017894
fun: -0.6707722255326101
message: 'Optimization terminated successfully.'
nfev: 386
nit: 3
status: 0
success: True
x: array([229.00000037, 1. , 1.01656794])
xopt: array([229., 1., 1.])
zopt: array([229., 230., 231.])
*******************************************
Period: 15
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.5876103048252829
fun: -0.586506919151071
message: 'Optimization terminated successfully.'
nfev: 261
nit: 2
status: 0
success: True
x: array([229.7057057 , 1.09016994, 1. ])
xopt: array([229., 1., 1.])
zopt: array([229., 230., 231.])
*******************************************
Period: 16
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5326300721529722
fun: -0.5316651379907915
message: 'Optimization terminated successfully.'
nfev: 240
nit: 3
status: 0
success: True
x: array([258.99998279, 2.00000003, 2.03933668])
xopt: array([258., 2., 3.])
zopt: array([258., 260., 263.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, -9.84988269e-01, 1.01742869e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -4.58574914e-06, -2.99418777e-01]])
fopt: 0.5974894428502013
fun: -0.8944054480673961
message: 'Optimization terminated successfully.'
nfev: 725
nit: 10
status: 0
success: True
x: array([229.33377502, -53.79022654, 118.00000109])
xopt: array([229., 0., 118.])
zopt: array([229., 229., 347.])
*******************************************
Period: 18
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-95.57377281, -0.12950013, 113.15553306]])
fopt: 0.9523175776701962
fun: -0.9528328513967772
message: 'Optimization terminated successfully.'
nfev: 378
nit: 5
status: 0
success: True
x: array([149.0034626 , 27.17784663, 135.00184533])
xopt: array([149., 27., 135.])
zopt: array([149., 176., 311.])
*******************************************
Period: 19
direc: array([[-1.79668905e+00, -6.31297894e-04, 1.21046733e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.40790587e-02, 1.56694437e-04, -1.81837661e-02]])
fopt: 0.8087139839662835
fun: -0.8074066057411657
message: 'Optimization terminated successfully.'
nfev: 746
nit: 8
status: 0
success: True
x: array([170.28211842, 6.10176179, 120.00056106])
xopt: array([170., 6., 121.])
zopt: array([170., 176., 297.])
*******************************************
Period: 20
direc: array([[ 3.36947210e-02, 1.32638861e-04, 1.39742466e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -3.26298080e-03, 1.00000000e+00]])
fopt: 0.2998861575913625
fun: -0.3003437353558514
message: 'Optimization terminated successfully.'
nfev: 385
nit: 4
status: 0
success: True
x: array([259.65933581, 2.00149639, 5.01701246])
xopt: array([259., 2., 6.])
zopt: array([259., 261., 267.])
*******************************************
Period: 21
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-213.91958605, 97.55396674, 196.47680232]])
fopt: 0.9416728438686093
fun: -0.9384248958661611
message: 'Optimization terminated successfully.'
nfev: 290
nit: 4
status: 0
success: True
x: array([ 78. , 100.00000996, 201.49059829])
xopt: array([ 77., 101., 201.])
zopt: array([ 77., 178., 379.])
*******************************************
Period: 22
direc: array([[ 0.00000000e+00, -7.52411395e+01, 6.20913904e+01],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 3.75159477e-04, 9.32574419e+01]])
fopt: 0.3030751300639576
fun: -0.7710979788633281
message: 'Optimization terminated successfully.'
nfev: 580
nit: 8
status: 0
success: True
x: array([260.72606195, -84.72604465, 190.00000831])
xopt: array([260., 0., 190.])
zopt: array([260., 260., 450.])
*******************************************
Period: 23
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-8.34786127e+00, 8.06991845e+00, 5.37994564e+00],
[-1.66551217e-11, 4.00000000e+00, 0.00000000e+00]])
fopt: 0.8520834656193074
fun: -0.849274019746118
message: 'Optimization terminated successfully.'
nfev: 947
nit: 12
status: 0
success: True
x: array([ 77. , 147. , 134.16530681])
xopt: array([ 77., 148., 135.])
zopt: array([ 77., 225., 360.])
*******************************************
Period: 24
direc: array([[-1.36634054e+02, -1.48886460e-02, 1.26696605e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 4.70714898e+01]])
fopt: 0.830949270529036
fun: -0.828715074272788
message: 'Optimization terminated successfully.'
nfev: 688
nit: 8
status: 0
success: True
x: array([171.28801884, 3.04072203, 188.07277065])
xopt: array([172., 4., 188.])
zopt: array([172., 176., 364.])
*******************************************
Period: 25
direc: array([[-1.36235819e+02, -1.10006788e-02, 1.07285399e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.22717017e+01, 2.03751715e+01, 5.83509772e+01]])
fopt: 0.8726051752221531
fun: -0.8724910153240232
message: 'Optimization terminated successfully.'
nfev: 701
nit: 11
status: 0
success: True
x: array([126.00000354, 52. , 195.0543677 ])
xopt: array([126., 52., 195.])
zopt: array([126., 178., 373.])
*******************************************
Period: 26
direc: array([[-1.92242323e+00, 0.00000000e+00, 1.92242326e+00],
[ 1.07485554e-05, 1.10257888e+00, 1.10256813e+00],
[-1.04646755e+01, 3.31662985e+01, 2.20680000e+01]])
fopt: 0.8576947092816118
fun: -0.8572463473699418
message: 'Optimization terminated successfully.'
nfev: 673
nit: 9
status: 0
success: True
x: array([138.54856005, 40. , 188.00006577])
xopt: array([138., 40., 188.])
zopt: array([138., 178., 366.])
*******************************************
Period: 27
direc: array([[ -27.81332622, -105.84215774, 120.1172987 ],
[ -0.34732707, 0. , 1. ],
[ -6.66429187, 0. , 52.82204185]])
fopt: 0.2693606750517601
fun: -0.7440984648788131
message: 'Optimization terminated successfully.'
nfev: 657
nit: 8
status: 0
success: True
x: array([273.7147504 , -95.89683653, 186. ])
xopt: array([273., 0., 186.])
zopt: array([273., 273., 459.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.03363721, -0.03356062, -0.02549746]])
fopt: 0.8811426424972201
fun: -0.8799536850843939
message: 'Optimization terminated successfully.'
nfev: 943
nit: 11
status: 0
success: True
x: array([ 92.75854717, 86. , 191.00000427])
xopt: array([ 92., 86., 191.])
zopt: array([ 92., 178., 369.])
*******************************************
Period: 29
direc: array([[-0.09525072, 0. , 0.86663433],
[ 0. , 1. , 0. ],
[-1.40530806, 0. , 58.12337245]])
fopt: 0.41439970416463084
fun: -0.41403190644120635
message: 'Optimization terminated successfully.'
nfev: 497
nit: 5
status: 0
success: True
x: array([306.08725304, 2. , 66. ])
xopt: array([306., 2., 66.])
zopt: array([306., 308., 374.])
*******************************************
Period: 30
direc: array([[ 3.62799186e+00, 1.04161470e+01, 3.12543899e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.14823299e-08, 0.00000000e+00, -4.39355590e-08]])
fopt: 0.8109366145380933
fun: -0.8114115176884696
message: 'Optimization terminated successfully.'
nfev: 1052
nit: 11
status: 0
success: True
x: array([170.53217929, 8.0244451 , 189.00000031])
xopt: array([170., 8., 189.])
zopt: array([170., 178., 367.])
*******************************************
Period: 31
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-3.88742976e+01, 2.92440078e+01, 5.10417170e+01],
[ 3.36155960e-02, 1.20798947e+01, 5.92640355e+00]])
fopt: 0.8293784215254342
fun: -0.8281284439044668
message: 'Optimization terminated successfully.'
nfev: 582
nit: 8
status: 0
success: True
x: array([128.80449113, 50.08616271, 190. ])
xopt: array([128., 50., 190.])
zopt: array([128., 178., 368.])
*******************************************
Period: 32
direc: array([[-2.77401211, 0. , 2.03131971],
[ 0. , 1. , 0. ],
[ 2.51035772, 32.94534122, 58.54517269]])
fopt: 0.8041927948890384
fun: -0.8033853341230346
message: 'Optimization terminated successfully.'
nfev: 628
nit: 7
status: 0
success: True
x: array([142.80260308, 36. , 188.00000198])
xopt: array([142., 36., 189.])
zopt: array([142., 178., 367.])
*******************************************
Period: 33
direc: array([[-1.77510351e+00, 0.00000000e+00, 2.27066136e+00],
[ 7.76833869e-01, 3.10140578e-09, 5.23555045e+00],
[ 2.05657341e-03, 1.00000000e+00, -2.63075394e-03]])
fopt: 0.793546128461952
fun: -0.7938228819120434
message: 'Optimization terminated successfully.'
nfev: 714
nit: 8
status: 0
success: True
x: array([172.38132527, 6.00000001, 189.24048098])
xopt: array([172., 6., 190.])
zopt: array([172., 178., 368.])
*******************************************
Period: 34
direc: array([[ 1.03946926e+01, 4.03441147e+00, -3.53899882e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.09703902e+01, 3.18224001e+01, 4.40486089e+01]])
fopt: 0.814652000587098
fun: -0.814075641997866
message: 'Optimization terminated successfully.'
nfev: 623
nit: 9
status: 0
success: True
x: array([132.9999356 , 45.00000014, 190.00000808])
xopt: array([132., 46., 190.])
zopt: array([132., 178., 368.])
*******************************************
Period: 35
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.28811041e+02, 0.00000000e+00, 7.35455090e+01],
[ 1.85797024e-02, 6.72205944e-07, -8.24626401e-04]])
fopt: 0.6293097333498336
fun: -0.6280296423895466
message: 'Optimization terminated successfully.'
nfev: 671
nit: 8
status: 0
success: True
x: array([180.0113075 , 3.0000266 , 130.03149747])
xopt: array([180., 3., 131.])
zopt: array([180., 183., 314.])
*******************************************
Period: 36
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-45.31051173, 91.07636336, 61.1170101 ]])
fopt: 0.8247160209036419
fun: -0.8246489487555151
message: 'Optimization terminated successfully.'
nfev: 736
nit: 12
status: 0
success: True
x: array([ 77.00002591, 121.00000048, 171.00001703])
xopt: array([ 77., 121., 172.])
zopt: array([ 77., 198., 370.])
*******************************************
Period: 37
direc: array([[-2.06753027, 0. , 2.00672454],
[ 0. , 1. , 0. ],
[35.95344216, 0. , 22.07036748]])
fopt: 0.7601010304217586
fun: -0.7609919260746693
message: 'Optimization terminated successfully.'
nfev: 675
nit: 7
status: 0
success: True
x: array([176.20986402, 2. , 191.0000014 ])
xopt: array([176., 2., 191.])
zopt: array([176., 178., 369.])
*******************************************
Period: 38
direc: array([[-1.07284784e+01, 3.00000000e+00, 2.00000000e+00],
[ 3.71012522e-02, -1.21051944e-04, -5.54192716e-03],
[ 2.26026771e-08, 9.99999994e-01, -4.21358592e-09]])
fopt: 0.3914244951719462
fun: -0.38724984006132734
message: 'Optimization terminated successfully.'
nfev: 859
nit: 9
status: 0
success: True
x: array([249.24008537, 34. , 21.01579742])
xopt: array([250., 35., 22.])
zopt: array([250., 285., 307.])
*******************************************
Period: 39
direc: array([[ -0.73129141, -3.83402804, -19.92918705],
[ 0. , 1. , 0. ],
[ 2.95409953, -1.77317568, -9.33502847]])
fopt: 0.8021925070180405
fun: -0.8011858266713665
message: 'Optimization terminated successfully.'
nfev: 777
nit: 12
status: 0
success: True
x: array([ 88.9246254 , 94.00900036, 193. ])
xopt: array([ 88., 95., 193.])
zopt: array([ 88., 183., 376.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 17.91018319, -15.72007179, -37.14299433],
[ -7.0445384 , 7.02094742, 0. ]])
fopt: 0.7985042119813004
fun: -0.7965875149593253
message: 'Optimization terminated successfully.'
nfev: 1206
nit: 17
status: 0
success: True
x: array([ 77.00014023, 105. , 199.27242926])
xopt: array([ 77., 106., 199.])
zopt: array([ 77., 183., 382.])
*******************************************
Period: 41
direc: array([[ -2.99999995, 2. , 0. ],
[ -6.01176534, 1. , 1.98845002],
[-214.05959549, 164.66123025, 0. ]])
fopt: 0.4786625853256398
fun: -0.4712610256336663
message: 'Optimization terminated successfully.'
nfev: 965
nit: 11
status: 0
success: True
x: array([ 77.24165395, 201.0004281 , 7.00000125])
xopt: array([ 78., 202., 8.])
zopt: array([ 78., 280., 288.])
*******************************************
Period: 42
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.59872208e+02, 1.43384460e+02, 8.60886012e+01],
[ 3.09541179e-10, -6.06258901e-07, 5.85029582e-15]])
fopt: 0.6937661554358425
fun: -0.692952878814874
message: 'Optimization terminated successfully.'
nfev: 583
nit: 8
status: 0
success: True
x: array([ 77.06401884, 184.0116742 , 108.61750208])
xopt: array([ 77., 184., 109.])
zopt: array([ 77., 261., 370.])
*******************************************
Period: 43
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-268.37531072, 156.16262626, 89.23578643]])
fopt: 0.6818671564807869
fun: -0.681617317003239
message: 'Optimization terminated successfully.'
nfev: 533
nit: 8
status: 0
success: True
x: array([ 76.99663098, 186.00941725, 106.28952353])
xopt: array([ 77., 186., 107.])
zopt: array([ 77., 263., 370.])
*******************************************
Period: 44
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-266.12098328, 155.23577782, 88.70615875]])
fopt: 0.6825639195824947
fun: -0.6826815743771731
message: 'Optimization terminated successfully.'
nfev: 550
nit: 8
status: 0
success: True
x: array([ 77.01353262, 185.0021592 , 107.06104017])
xopt: array([ 77., 185., 108.])
zopt: array([ 77., 262., 370.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu4gm_52q.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxza7idkz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [6e-02, 6e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929679
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.06595 0.929679
Optimal solution found (tolerance 1.00e-02)
Best objective 2.065954141270e+00, best bound 2.065954141270e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp70yck1no.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1aojhldt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.901132
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.469050e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.4690503 1.46905 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.46905 0.901132
Optimal solution found (tolerance 1.00e-02)
Best objective 1.469050284267e+00, best bound 1.469050284267e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphzfhacl5.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp26thc_gf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.898108
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 1.057915e+00, 16 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05792 0 3 0.89811 1.05792 17.8% - 0s
H 0 0 0.9838862 1.05792 7.52% - 0s
0 0 cutoff 0 0.98389 0.98389 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.983886 0.898108
Optimal solution found (tolerance 1.00e-02)
Best objective 9.838862172903e-01, best bound 9.838862172903e-01, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgjmln9jc.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnmjrqiod.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.69275
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 9.017648e-01, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90176 0 8 0.69275 0.90176 30.2% - 0s
H 0 0 0.8100814 0.90176 11.3% - 0s
0 0 cutoff 0 0.81008 0.81008 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 4
Flow path: 1
Explored 1 nodes (41 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.810081 0.69275
Optimal solution found (tolerance 1.00e-02)
Best objective 8.100813802374e-01, best bound 8.100813802374e-01, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjt4g31bm.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk8auzt_p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.529587
Presolve removed 121 rows and 82 columns
Presolve time: 0.00s
Presolved: 116 rows, 93 columns, 409 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 1.311396e+00, 67 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31140 0 4 0.52959 1.31140 148% - 0s
H 0 0 1.1145926 1.31140 17.7% - 0s
0 0 1.19135 0 1 1.11459 1.19135 6.89% - 0s
0 0 1.19135 0 2 1.11459 1.19135 6.89% - 0s
0 0 cutoff 0 1.11459 1.11459 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 4
Explored 1 nodes (97 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.11459 0.529587
Optimal solution found (tolerance 1.00e-02)
Best objective 1.114592604336e+00, best bound 1.114592604336e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwg18hfil.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph4bk0bt1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923874
Presolve removed 138 rows and 94 columns
Presolve time: 0.02s
Presolved: 145 rows, 114 columns, 513 nonzeros
Variable types: 57 continuous, 57 integer (51 binary)
Root relaxation: objective 1.003041e+00, 92 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00304 0 3 0.92387 1.00304 8.57% - 0s
0 0 0.98854 0 3 0.92387 0.98854 7.00% - 0s
0 0 0.97318 0 4 0.92387 0.97318 5.34% - 0s
0 0 0.97318 0 4 0.92387 0.97318 5.34% - 0s
0 0 0.97318 0 2 0.92387 0.97318 5.34% - 0s
0 0 0.97233 0 3 0.92387 0.97233 5.25% - 0s
0 0 0.97185 0 3 0.92387 0.97185 5.19% - 0s
Cutting planes:
Gomory: 2
Clique: 1
MIR: 1
Explored 1 nodes (166 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.923874
Optimal solution found (tolerance 1.00e-02)
Best objective 9.238741321377e-01, best bound 9.238741321377e-01, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj0yrs47v.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3ryrlpm1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714723
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.195333e+00, 122 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19533 0 9 0.71472 2.19533 207% - 0s
0 0 2.10938 0 14 0.71472 2.10938 195% - 0s
0 0 2.10748 0 14 0.71472 2.10748 195% - 0s
0 0 2.07099 0 14 0.71472 2.07099 190% - 0s
0 0 2.06657 0 11 0.71472 2.06657 189% - 0s
0 0 2.06522 0 12 0.71472 2.06522 189% - 0s
0 0 2.03751 0 5 0.71472 2.03751 185% - 0s
0 0 2.03392 0 15 0.71472 2.03392 185% - 0s
0 0 2.02940 0 17 0.71472 2.02940 184% - 0s
0 0 2.02634 0 17 0.71472 2.02634 184% - 0s
0 0 1.93533 0 21 0.71472 1.93533 171% - 0s
0 0 1.90271 0 18 0.71472 1.90271 166% - 0s
0 0 1.90206 0 18 0.71472 1.90206 166% - 0s
0 0 1.90206 0 18 0.71472 1.90206 166% - 0s
0 0 1.88439 0 18 0.71472 1.88439 164% - 0s
0 0 1.88439 0 18 0.71472 1.88439 164% - 0s
0 0 1.85734 0 16 0.71472 1.85734 160% - 0s
0 0 1.85731 0 17 0.71472 1.85731 160% - 0s
0 0 1.85711 0 18 0.71472 1.85711 160% - 0s
0 0 1.85711 0 13 0.71472 1.85711 160% - 0s
0 2 1.85711 0 13 0.71472 1.85711 160% - 0s
* 19 10 7 1.1158829 1.67281 49.9% 4.9 0s
Cutting planes:
Gomory: 5
Implied bound: 7
MIR: 4
Flow cover: 13
Flow path: 1
Explored 40 nodes (454 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.11588 0.714723
Optimal solution found (tolerance 1.00e-02)
Best objective 1.115882851131e+00, best bound 1.115882851131e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_ig6wkfd.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq8jz70ed.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.89048
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.150468e+00, 143 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15047 0 11 0.89048 2.15047 141% - 0s
0 0 2.06039 0 7 0.89048 2.06039 131% - 0s
0 0 2.05871 0 7 0.89048 2.05871 131% - 0s
0 0 2.01996 0 16 0.89048 2.01996 127% - 0s
0 0 2.01271 0 14 0.89048 2.01271 126% - 0s
0 0 2.00968 0 14 0.89048 2.00968 126% - 0s
0 0 1.95201 0 17 0.89048 1.95201 119% - 0s
0 0 1.94061 0 16 0.89048 1.94061 118% - 0s
0 0 1.89562 0 16 0.89048 1.89562 113% - 0s
0 0 1.89495 0 16 0.89048 1.89495 113% - 0s
0 0 1.89495 0 16 0.89048 1.89495 113% - 0s
0 0 1.88519 0 15 0.89048 1.88519 112% - 0s
0 0 1.88519 0 16 0.89048 1.88519 112% - 0s
0 0 1.87736 0 15 0.89048 1.87736 111% - 0s
0 0 1.87736 0 15 0.89048 1.87736 111% - 0s
0 0 1.87707 0 15 0.89048 1.87707 111% - 0s
0 0 1.87707 0 16 0.89048 1.87707 111% - 0s
0 0 1.87707 0 16 0.89048 1.87707 111% - 0s
0 2 1.87707 0 16 0.89048 1.87707 111% - 0s
* 24 10 8 1.1247441 1.66231 47.8% 7.2 0s
Cutting planes:
Gomory: 4
Implied bound: 7
MIR: 4
Flow cover: 19
Explored 46 nodes (629 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.12474 0.89048
Optimal solution found (tolerance 1.00e-02)
Best objective 1.124744083146e+00, best bound 1.124744083146e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprz33gglo.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplib08tk6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.919318
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.166234e+00, 157 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16623 0 12 0.91932 2.16623 136% - 0s
0 0 2.08877 0 17 0.91932 2.08877 127% - 0s
0 0 2.08729 0 17 0.91932 2.08729 127% - 0s
0 0 2.06861 0 26 0.91932 2.06861 125% - 0s
0 0 2.06809 0 27 0.91932 2.06809 125% - 0s
0 0 2.06101 0 19 0.91932 2.06101 124% - 0s
0 0 2.05559 0 23 0.91932 2.05559 124% - 0s
0 0 2.04597 0 29 0.91932 2.04597 123% - 0s
0 0 2.03329 0 27 0.91932 2.03329 121% - 0s
0 0 1.98227 0 23 0.91932 1.98227 116% - 0s
0 0 1.96331 0 23 0.91932 1.96331 114% - 0s
0 0 1.94584 0 23 0.91932 1.94584 112% - 0s
0 0 1.94519 0 23 0.91932 1.94519 112% - 0s
0 0 1.94519 0 23 0.91932 1.94519 112% - 0s
0 2 1.94519 0 23 0.91932 1.94519 112% - 0s
H 29 16 1.1841886 1.39520 17.8% 9.2 0s
Cutting planes:
Gomory: 5
Implied bound: 9
MIR: 4
Flow cover: 20
Inf proof: 2
Explored 107 nodes (1113 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.18419 0.919318
Optimal solution found (tolerance 1.00e-02)
Best objective 1.184188556567e+00, best bound 1.184188556567e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8mlbbloa.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpig2hy915.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.988104
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.175499e+00, 185 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17550 0 14 0.98810 2.17550 120% - 0s
0 0 2.10231 0 10 0.98810 2.10231 113% - 0s
0 0 2.10097 0 10 0.98810 2.10097 113% - 0s
0 0 2.06940 0 20 0.98810 2.06940 109% - 0s
0 0 2.06940 0 20 0.98810 2.06940 109% - 0s
0 0 2.06508 0 23 0.98810 2.06508 109% - 0s
0 0 2.06194 0 25 0.98810 2.06194 109% - 0s
0 0 2.02633 0 25 0.98810 2.02633 105% - 0s
0 0 2.01842 0 25 0.98810 2.01842 104% - 0s
0 0 1.99830 0 21 0.98810 1.99830 102% - 0s
0 0 1.99366 0 24 0.98810 1.99366 102% - 0s
0 0 1.98834 0 23 0.98810 1.98834 101% - 0s
0 0 1.98362 0 23 0.98810 1.98362 101% - 0s
0 0 1.98328 0 24 0.98810 1.98328 101% - 0s
0 0 1.98328 0 20 0.98810 1.98328 101% - 0s
0 0 1.98328 0 22 0.98810 1.98328 101% - 0s
0 0 1.98328 0 22 0.98810 1.98328 101% - 0s
0 2 1.98328 0 22 0.98810 1.98328 101% - 0s
* 160 23 18 1.0765055 1.35861 26.2% 6.2 0s
* 228 1 18 1.2172533 1.24913 2.62% 5.5 0s
Cutting planes:
Gomory: 5
Cover: 3
Implied bound: 10
MIR: 3
Flow cover: 23
Inf proof: 3
Explored 238 nodes (1699 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.21725 1.07651 0.988104
Optimal solution found (tolerance 1.00e-02)
Best objective 1.217253267440e+00, best bound 1.217253267440e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnior_zua.pyomo.lp
Reading time = 0.01 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwoxlxfum.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06678
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.064783e+00, 240 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06478 0 18 1.06678 2.06478 93.6% - 0s
0 0 1.96631 0 20 1.06678 1.96631 84.3% - 0s
0 0 1.96510 0 20 1.06678 1.96510 84.2% - 0s
0 0 1.94484 0 28 1.06678 1.94484 82.3% - 0s
0 0 1.94434 0 28 1.06678 1.94434 82.3% - 0s
0 0 1.94102 0 30 1.06678 1.94102 82.0% - 0s
0 0 1.94102 0 31 1.06678 1.94102 82.0% - 0s
0 0 1.92090 0 30 1.06678 1.92090 80.1% - 0s
0 0 1.91866 0 30 1.06678 1.91866 79.9% - 0s
0 0 1.88612 0 31 1.06678 1.88612 76.8% - 0s
0 0 1.88561 0 31 1.06678 1.88561 76.8% - 0s
0 0 1.86636 0 31 1.06678 1.86636 75.0% - 0s
0 0 1.86636 0 32 1.06678 1.86636 75.0% - 0s
0 0 1.86549 0 33 1.06678 1.86549 74.9% - 0s
0 0 1.86358 0 33 1.06678 1.86358 74.7% - 0s
0 0 1.86258 0 34 1.06678 1.86258 74.6% - 0s
0 0 1.86258 0 34 1.06678 1.86258 74.6% - 0s
0 0 1.86233 0 33 1.06678 1.86233 74.6% - 0s
0 0 1.86233 0 33 1.06678 1.86233 74.6% - 0s
0 0 1.86233 0 33 1.06678 1.86233 74.6% - 0s
0 0 1.86233 0 32 1.06678 1.86233 74.6% - 0s
0 2 1.86233 0 32 1.06678 1.86233 74.6% - 0s
H 197 16 1.1613507 1.28693 10.8% 8.0 0s
Cutting planes:
Gomory: 8
Implied bound: 17
MIR: 9
Flow cover: 35
Explored 232 nodes (2244 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.16135 1.06678
Optimal solution found (tolerance 1.00e-02)
Best objective 1.161350735452e+00, best bound 1.161350735452e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_nczv7l2.pyomo.lp
Reading time = 0.01 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu_5_7vwq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02231
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.073591e+00, 229 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07359 0 18 1.02231 2.07359 103% - 0s
0 0 1.99274 0 17 1.02231 1.99274 94.9% - 0s
0 0 1.99163 0 17 1.02231 1.99163 94.8% - 0s
0 0 1.97561 0 23 1.02231 1.97561 93.2% - 0s
0 0 1.97561 0 25 1.02231 1.97561 93.2% - 0s
0 0 1.97117 0 22 1.02231 1.97117 92.8% - 0s
0 0 1.97117 0 23 1.02231 1.97117 92.8% - 0s
0 0 1.96349 0 30 1.02231 1.96349 92.1% - 0s
0 0 1.95579 0 31 1.02231 1.95579 91.3% - 0s
0 0 1.93682 0 30 1.02231 1.93682 89.5% - 0s
0 0 1.92018 0 34 1.02231 1.92018 87.8% - 0s
0 0 1.88056 0 28 1.02231 1.88056 84.0% - 0s
0 0 1.88045 0 29 1.02231 1.88045 83.9% - 0s
0 0 1.86984 0 30 1.02231 1.86984 82.9% - 0s
0 0 1.86935 0 29 1.02231 1.86935 82.9% - 0s
0 0 1.86935 0 30 1.02231 1.86935 82.9% - 0s
0 0 1.86935 0 29 1.02231 1.86935 82.9% - 0s
0 0 1.86935 0 30 1.02231 1.86935 82.9% - 0s
0 0 1.86935 0 26 1.02231 1.86935 82.9% - 0s
0 2 1.86935 0 25 1.02231 1.86935 82.9% - 0s
* 121 36 25 1.1447390 1.38683 21.1% 6.9 0s
* 220 20 23 1.1708119 1.25107 6.85% 5.9 0s
* 247 1 23 1.1830529 1.21730 2.90% 5.7 0s
* 261 0 23 1.1872794 1.21730 2.53% 5.5 0s
Cutting planes:
Gomory: 4
Implied bound: 6
MIR: 4
Flow cover: 23
Network: 1
Explored 284 nodes (2054 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.18728 1.18305 1.17081 ... 1.02231
Optimal solution found (tolerance 1.00e-02)
Best objective 1.187279350557e+00, best bound 1.187279350557e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpls0tgtpl.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp90q8z_63.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02602
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.135689e+00, 256 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13569 0 22 1.02602 2.13569 108% - 0s
0 0 2.04214 0 28 1.02602 2.04214 99.0% - 0s
0 0 2.04111 0 28 1.02602 2.04111 98.9% - 0s
0 0 2.01936 0 38 1.02602 2.01936 96.8% - 0s
0 0 2.01025 0 37 1.02602 2.01025 95.9% - 0s
0 0 2.00027 0 38 1.02602 2.00027 95.0% - 0s
0 0 1.99706 0 38 1.02602 1.99706 94.6% - 0s
0 0 1.96188 0 42 1.02602 1.96188 91.2% - 0s
0 0 1.95900 0 41 1.02602 1.95900 90.9% - 0s
0 0 1.95031 0 37 1.02602 1.95031 90.1% - 0s
0 0 1.94634 0 40 1.02602 1.94634 89.7% - 0s
0 0 1.94462 0 37 1.02602 1.94462 89.5% - 0s
0 0 1.94301 0 38 1.02602 1.94301 89.4% - 0s
0 0 1.94255 0 38 1.02602 1.94255 89.3% - 0s
0 0 1.94238 0 38 1.02602 1.94238 89.3% - 0s
0 0 1.93208 0 42 1.02602 1.93208 88.3% - 0s
0 0 1.93133 0 40 1.02602 1.93133 88.2% - 0s
0 0 1.93127 0 42 1.02602 1.93127 88.2% - 0s
0 0 1.93107 0 42 1.02602 1.93107 88.2% - 0s
0 0 1.93107 0 40 1.02602 1.93107 88.2% - 0s
0 2 1.93107 0 40 1.02602 1.93107 88.2% - 0s
* 328 72 33 1.1905295 1.31211 10.2% 6.7 0s
Cutting planes:
Gomory: 10
Cover: 4
Implied bound: 28
MIR: 9
Flow cover: 32
Inf proof: 5
Explored 640 nodes (4047 simplex iterations) in 0.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.19053 1.02602
Optimal solution found (tolerance 1.00e-02)
Best objective 1.190529531207e+00, best bound 1.201333997203e+00, gap 0.9075%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpihkahshg.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7u27qve5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09592
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 1.991580e+00, 289 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99158 0 25 1.09592 1.99158 81.7% - 0s
0 0 1.89566 0 29 1.09592 1.89566 73.0% - 0s
0 0 1.89471 0 29 1.09592 1.89471 72.9% - 0s
0 0 1.88033 0 37 1.09592 1.88033 71.6% - 0s
0 0 1.88021 0 37 1.09592 1.88021 71.6% - 0s
0 0 1.86085 0 39 1.09592 1.86085 69.8% - 0s
0 0 1.86056 0 40 1.09592 1.86056 69.8% - 0s
0 0 1.84498 0 39 1.09592 1.84498 68.4% - 0s
0 0 1.83534 0 38 1.09592 1.83534 67.5% - 0s
0 0 1.80268 0 39 1.09592 1.80268 64.5% - 0s
0 0 1.79531 0 38 1.09592 1.79531 63.8% - 0s
0 0 1.79299 0 38 1.09592 1.79299 63.6% - 0s
0 0 1.79244 0 41 1.09592 1.79244 63.6% - 0s
0 0 1.77700 0 38 1.09592 1.77700 62.1% - 0s
0 0 1.77572 0 38 1.09592 1.77572 62.0% - 0s
0 0 1.77527 0 40 1.09592 1.77527 62.0% - 0s
0 0 1.77420 0 40 1.09592 1.77420 61.9% - 0s
0 0 1.77420 0 40 1.09592 1.77420 61.9% - 0s
0 2 1.77420 0 40 1.09592 1.77420 61.9% - 0s
* 342 34 31 1.1058860 1.21868 10.2% 7.8 0s
Cutting planes:
Gomory: 6
Cover: 5
Implied bound: 29
MIR: 11
StrongCG: 1
Flow cover: 34
Inf proof: 9
Explored 588 nodes (4465 simplex iterations) in 0.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.10589 1.09592
Optimal solution found (tolerance 1.00e-02)
Best objective 1.105886040966e+00, best bound 1.105886040966e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplk_dkov8.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzgncnjk1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.998717
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.065115e+00, 304 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06511 0 27 0.99872 2.06511 107% - 0s
0 0 1.97175 0 26 0.99872 1.97175 97.4% - 0s
0 0 1.97086 0 26 0.99872 1.97086 97.3% - 0s
0 0 1.95580 0 40 0.99872 1.95580 95.8% - 0s
0 0 1.94346 0 36 0.99872 1.94346 94.6% - 0s
0 0 1.92595 0 38 0.99872 1.92595 92.8% - 0s
0 0 1.92408 0 36 0.99872 1.92408 92.7% - 0s
0 0 1.89241 0 43 0.99872 1.89241 89.5% - 0s
0 0 1.88745 0 39 0.99872 1.88745 89.0% - 0s
0 0 1.87336 0 37 0.99872 1.87336 87.6% - 0s
0 0 1.86779 0 37 0.99872 1.86779 87.0% - 0s
0 0 1.86538 0 38 0.99872 1.86538 86.8% - 0s
0 0 1.86333 0 38 0.99872 1.86333 86.6% - 0s
0 0 1.86302 0 38 0.99872 1.86302 86.5% - 0s
0 0 1.86302 0 35 0.99872 1.86302 86.5% - 0s
0 2 1.86302 0 35 0.99872 1.86302 86.5% - 0s
* 264 148 43 1.1426943 1.65686 45.0% 7.7 0s
* 636 160 37 1.1462337 1.34750 17.6% 7.1 0s
Cutting planes:
Gomory: 6
Cover: 3
Implied bound: 17
MIR: 8
Flow cover: 34
Inf proof: 8
Explored 1021 nodes (7072 simplex iterations) in 0.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.14623 1.14269 0.998717
Optimal solution found (tolerance 1.00e-02)
Best objective 1.146233690502e+00, best bound 1.146233690502e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgk0gszxd.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_med513l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06129
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.947527e+00, 361 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94753 0 33 1.06129 1.94753 83.5% - 0s
0 0 1.85230 0 34 1.06129 1.85230 74.5% - 0s
0 0 1.85147 0 34 1.06129 1.85147 74.5% - 0s
0 0 1.83057 0 39 1.06129 1.83057 72.5% - 0s
0 0 1.82753 0 40 1.06129 1.82753 72.2% - 0s
0 0 1.81687 0 44 1.06129 1.81687 71.2% - 0s
0 0 1.81560 0 42 1.06129 1.81560 71.1% - 0s
0 0 1.79184 0 43 1.06129 1.79184 68.8% - 0s
0 0 1.78654 0 40 1.06129 1.78654 68.3% - 0s
0 0 1.76920 0 46 1.06129 1.76920 66.7% - 0s
0 0 1.75583 0 46 1.06129 1.75583 65.4% - 0s
0 0 1.74793 0 44 1.06129 1.74793 64.7% - 0s
0 0 1.74697 0 46 1.06129 1.74697 64.6% - 0s
0 0 1.74690 0 48 1.06129 1.74690 64.6% - 0s
0 0 1.74660 0 49 1.06129 1.74660 64.6% - 0s
0 0 1.74660 0 49 1.06129 1.74660 64.6% - 0s
0 0 1.74295 0 44 1.06129 1.74295 64.2% - 0s
0 0 1.74293 0 46 1.06129 1.74293 64.2% - 0s
0 0 1.74164 0 47 1.06129 1.74164 64.1% - 0s
0 0 1.74132 0 44 1.06129 1.74132 64.1% - 0s
0 0 1.74073 0 46 1.06129 1.74073 64.0% - 0s
0 0 1.74051 0 47 1.06129 1.74051 64.0% - 0s
0 0 1.74015 0 46 1.06129 1.74015 64.0% - 0s
0 0 1.74007 0 47 1.06129 1.74007 64.0% - 0s
0 0 1.73823 0 46 1.06129 1.73823 63.8% - 0s
0 0 1.73734 0 47 1.06129 1.73734 63.7% - 0s
0 0 1.73734 0 48 1.06129 1.73734 63.7% - 0s
0 0 1.73398 0 51 1.06129 1.73398 63.4% - 0s
0 0 1.73382 0 51 1.06129 1.73382 63.4% - 0s
0 0 1.73382 0 51 1.06129 1.73382 63.4% - 0s
0 2 1.73382 0 51 1.06129 1.73382 63.4% - 0s
* 734 151 45 1.0623132 1.22345 15.2% 7.9 0s
* 948 54 41 1.0669918 1.17886 10.5% 7.2 0s
* 958 58 40 1.0729356 1.17628 9.63% 7.1 0s
* 1116 8 39 1.0740734 1.12146 4.41% 6.8 0s
Cutting planes:
Gomory: 8
Cover: 4
Implied bound: 24
MIR: 18
Flow cover: 51
Inf proof: 19
Explored 1145 nodes (8458 simplex iterations) in 0.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.07407 1.07294 1.06699 ... 1.06129
Optimal solution found (tolerance 1.00e-02)
Best objective 1.074073394496e+00, best bound 1.074073394496e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0rxcis2b.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqa2zus6u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.981202
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.991722e+00, 380 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99172 0 34 0.98120 1.99172 103% - 0s
0 0 1.87853 0 41 0.98120 1.87853 91.5% - 0s
0 0 1.87774 0 41 0.98120 1.87774 91.4% - 0s
0 0 1.86618 0 48 0.98120 1.86618 90.2% - 0s
0 0 1.86571 0 45 0.98120 1.86571 90.1% - 0s
0 0 1.85698 0 50 0.98120 1.85698 89.3% - 0s
0 0 1.85575 0 53 0.98120 1.85575 89.1% - 0s
0 0 1.85024 0 45 0.98120 1.85024 88.6% - 0s
0 0 1.84916 0 51 0.98120 1.84916 88.5% - 0s
0 0 1.81812 0 49 0.98120 1.81812 85.3% - 0s
0 0 1.81781 0 51 0.98120 1.81781 85.3% - 0s
0 0 1.80385 0 51 0.98120 1.80385 83.8% - 0s
0 0 1.79838 0 52 0.98120 1.79838 83.3% - 0s
0 0 1.79827 0 52 0.98120 1.79827 83.3% - 0s
0 0 1.79798 0 51 0.98120 1.79798 83.2% - 0s
0 0 1.79798 0 52 0.98120 1.79798 83.2% - 0s
0 0 1.79798 0 52 0.98120 1.79798 83.2% - 0s
0 2 1.79798 0 48 0.98120 1.79798 83.2% - 0s
* 339 157 52 1.0870111 1.43345 31.9% 7.9 0s
* 2293 186 50 1.0888690 1.16240 6.75% 6.4 0s
Cutting planes:
Gomory: 7
Cover: 10
Implied bound: 31
MIR: 11
Flow cover: 55
Inf proof: 39
Explored 2625 nodes (17115 simplex iterations) in 1.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.08887 1.08701 0.981202
Optimal solution found (tolerance 1.00e-02)
Best objective 1.088868968201e+00, best bound 1.088868968201e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz_c364ly.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwcim91kl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.992549
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.947421e+00, 384 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94742 0 39 0.99255 1.94742 96.2% - 0s
0 0 1.82734 0 48 0.99255 1.82734 84.1% - 0s
0 0 1.82660 0 48 0.99255 1.82660 84.0% - 0s
0 0 1.79575 0 57 0.99255 1.79575 80.9% - 0s
0 0 1.78501 0 61 0.99255 1.78501 79.8% - 0s
0 0 1.76072 0 59 0.99255 1.76072 77.4% - 0s
0 0 1.75710 0 59 0.99255 1.75710 77.0% - 0s
0 0 1.73479 0 62 0.99255 1.73479 74.8% - 0s
0 0 1.73158 0 58 0.99255 1.73158 74.5% - 0s
0 0 1.72606 0 63 0.99255 1.72606 73.9% - 0s
0 0 1.72538 0 63 0.99255 1.72538 73.8% - 0s
0 0 1.72532 0 64 0.99255 1.72532 73.8% - 0s
0 0 1.70180 0 67 0.99255 1.70180 71.5% - 0s
0 0 1.68545 0 59 0.99255 1.68545 69.8% - 0s
0 0 1.68422 0 61 0.99255 1.68422 69.7% - 0s
0 0 1.68422 0 60 0.99255 1.68422 69.7% - 0s
0 0 1.67551 0 64 0.99255 1.67551 68.8% - 0s
0 0 1.67540 0 67 0.99255 1.67540 68.8% - 0s
0 0 1.67483 0 66 0.99255 1.67483 68.7% - 0s
0 0 1.67483 0 65 0.99255 1.67483 68.7% - 0s
0 2 1.67483 0 65 0.99255 1.67483 68.7% - 0s
* 779 96 56 1.0652955 1.31507 23.4% 10.9 0s
Cutting planes:
Gomory: 20
Cover: 14
Implied bound: 34
MIR: 21
Flow cover: 69
Flow path: 1
Inf proof: 24
Explored 1945 nodes (15883 simplex iterations) in 1.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0653 0.992549
Optimal solution found (tolerance 1.00e-02)
Best objective 1.065295498876e+00, best bound 1.065295498876e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyb54obs_.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppw3wst6a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.993379
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.859294e+00, 432 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85929 0 45 0.99338 1.85929 87.2% - 0s
0 0 1.74236 0 49 0.99338 1.74236 75.4% - 0s
0 0 1.74165 0 49 0.99338 1.74165 75.3% - 0s
0 0 1.72730 0 58 0.99338 1.72730 73.9% - 0s
0 0 1.72685 0 58 0.99338 1.72685 73.8% - 0s
0 0 1.71888 0 61 0.99338 1.71888 73.0% - 0s
0 0 1.71755 0 62 0.99338 1.71755 72.9% - 0s
0 0 1.70523 0 66 0.99338 1.70523 71.7% - 0s
0 0 1.70171 0 62 0.99338 1.70171 71.3% - 0s
0 0 1.69806 0 65 0.99338 1.69806 70.9% - 0s
0 0 1.69354 0 69 0.99338 1.69354 70.5% - 0s
0 0 1.69080 0 64 0.99338 1.69080 70.2% - 0s
0 0 1.69080 0 64 0.99338 1.69080 70.2% - 0s
0 0 1.68880 0 64 0.99338 1.68880 70.0% - 0s
0 0 1.68744 0 65 0.99338 1.68744 69.9% - 0s
0 0 1.68744 0 65 0.99338 1.68744 69.9% - 0s
0 0 1.68593 0 65 0.99338 1.68593 69.7% - 0s
0 0 1.68593 0 65 0.99338 1.68593 69.7% - 0s
0 2 1.68593 0 65 0.99338 1.68593 69.7% - 0s
H 1014 168 1.0087859 1.22563 21.5% 8.4 0s
* 2392 437 51 1.0096006 1.17289 16.2% 6.1 2s
* 2395 414 51 1.0101014 1.17289 16.1% 6.1 2s
Cutting planes:
Learned: 1
Explored 2843 nodes (17908 simplex iterations) in 2.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.0101 1.0096 1.00879 0.993379
Optimal solution found (tolerance 1.00e-02)
Best objective 1.010101441066e+00, best bound 1.010101441066e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphhe1k66d.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzba5p0qi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.936496
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.840577e+00, 479 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84058 0 46 0.93650 1.84058 96.5% - 0s
0 0 1.71853 0 46 0.93650 1.71853 83.5% - 0s
0 0 1.71787 0 46 0.93650 1.71787 83.4% - 0s
0 0 1.69864 0 56 0.93650 1.69864 81.4% - 0s
0 0 1.69862 0 57 0.93650 1.69862 81.4% - 0s
0 0 1.69461 0 61 0.93650 1.69461 81.0% - 0s
0 0 1.69440 0 61 0.93650 1.69440 80.9% - 0s
0 0 1.68499 0 66 0.93650 1.68499 79.9% - 0s
0 0 1.68208 0 65 0.93650 1.68208 79.6% - 0s
0 0 1.67800 0 68 0.93650 1.67800 79.2% - 0s
0 0 1.67746 0 67 0.93650 1.67746 79.1% - 0s
0 0 1.67555 0 65 0.93650 1.67555 78.9% - 0s
0 0 1.67243 0 70 0.93650 1.67243 78.6% - 0s
0 0 1.66306 0 71 0.93650 1.66306 77.6% - 0s
0 0 1.66306 0 71 0.93650 1.66306 77.6% - 0s
0 0 1.64108 0 73 0.93650 1.64108 75.2% - 0s
0 0 1.63424 0 71 0.93650 1.63424 74.5% - 0s
0 0 1.63348 0 72 0.93650 1.63348 74.4% - 0s
0 0 1.63334 0 72 0.93650 1.63334 74.4% - 0s
0 0 1.63192 0 68 0.93650 1.63192 74.3% - 0s
0 0 1.63189 0 69 0.93650 1.63189 74.3% - 0s
0 0 1.63189 0 69 0.93650 1.63189 74.3% - 0s
0 2 1.63189 0 69 0.93650 1.63189 74.3% - 0s
* 1755 456 75 0.9819396 1.19840 22.0% 8.8 1s
* 2536 467 65 0.9881424 1.13734 15.1% 7.5 1s
* 3599 494 68 0.9886477 1.10451 11.7% 7.0 3s
* 3854 352 64 0.9907102 1.10451 11.5% 6.9 3s
Explored 4384 nodes (30736 simplex iterations) in 3.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.99071 0.988648 0.988142 ... 0.936496
Optimal solution found (tolerance 1.00e-02)
Best objective 9.907102232480e-01, best bound 9.907102232480e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu7ktsn7x.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_bngkmst.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920846
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.796982e+00, 536 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79698 0 51 0.92085 1.79698 95.1% - 0s
0 0 1.67147 0 54 0.92085 1.67147 81.5% - 0s
0 0 1.67084 0 54 0.92085 1.67084 81.4% - 0s
0 0 1.65571 0 69 0.92085 1.65571 79.8% - 0s
0 0 1.65313 0 68 0.92085 1.65313 79.5% - 0s
0 0 1.64667 0 71 0.92085 1.64667 78.8% - 0s
0 0 1.64402 0 69 0.92085 1.64402 78.5% - 0s
0 0 1.61788 0 74 0.92085 1.61788 75.7% - 0s
0 0 1.61345 0 75 0.92085 1.61345 75.2% - 0s
0 0 1.60630 0 71 0.92085 1.60630 74.4% - 0s
0 0 1.59525 0 68 0.92085 1.59525 73.2% - 0s
0 0 1.59464 0 72 0.92085 1.59464 73.2% - 0s
0 0 1.59263 0 72 0.92085 1.59263 73.0% - 0s
0 0 1.59263 0 72 0.92085 1.59263 73.0% - 0s
0 0 1.59071 0 73 0.92085 1.59071 72.7% - 0s
0 0 1.59071 0 73 0.92085 1.59071 72.7% - 0s
0 0 1.58881 0 68 0.92085 1.58881 72.5% - 0s
0 0 1.58863 0 68 0.92085 1.58863 72.5% - 0s
0 0 1.58722 0 67 0.92085 1.58722 72.4% - 0s
0 0 1.58666 0 68 0.92085 1.58666 72.3% - 0s
0 0 1.58666 0 69 0.92085 1.58666 72.3% - 0s
0 0 1.58666 0 69 0.92085 1.58666 72.3% - 0s
0 2 1.58666 0 69 0.92085 1.58666 72.3% - 0s
* 1792 593 68 0.9269561 1.16055 25.2% 9.3 3s
* 1843 564 64 0.9293390 1.16055 24.9% 9.2 3s
* 2140 535 68 0.9384196 1.12425 19.8% 8.8 3s
* 2274 499 56 0.9488248 1.10460 16.4% 8.7 3s
* 2500 421 61 0.9506207 1.08461 14.1% 8.7 3s
* 2643 320 51 0.9622898 1.07799 12.0% 8.7 3s
* 2826 173 50 0.9642297 1.03710 7.56% 8.7 4s
* 3161 3 49 0.9666121 0.99219 2.65% 8.7 4s
Cutting planes:
Learned: 1
Gomory: 19
Cover: 4
Implied bound: 11
Projected implied bound: 24
MIR: 10
Flow cover: 67
Inf proof: 11
Zero half: 1
Explored 3182 nodes (28698 simplex iterations) in 4.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 0.966612 0.96423 0.96229 ... 0.920846
Optimal solution found (tolerance 1.00e-02)
Best objective 9.666120857740e-01, best bound 9.675779540628e-01, gap 0.0999%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd9rapcqh.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpthu00sqh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.942117
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.737380e+00, 506 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73738 0 54 0.94212 1.73738 84.4% - 0s
0 0 1.69171 0 69 0.94212 1.69171 79.6% - 0s
0 0 1.69110 0 69 0.94212 1.69110 79.5% - 0s
0 0 1.66438 0 80 0.94212 1.66438 76.7% - 0s
0 0 1.66133 0 82 0.94212 1.66133 76.3% - 0s
0 0 1.62778 0 84 0.94212 1.62778 72.8% - 0s
0 0 1.62703 0 78 0.94212 1.62703 72.7% - 0s
0 0 1.61726 0 85 0.94212 1.61726 71.7% - 0s
0 0 1.60787 0 82 0.94212 1.60787 70.7% - 0s
0 0 1.60269 0 80 0.94212 1.60269 70.1% - 0s
0 0 1.60095 0 77 0.94212 1.60095 69.9% - 0s
0 0 1.59176 0 81 0.94212 1.59176 69.0% - 0s
0 0 1.59091 0 81 0.94212 1.59091 68.9% - 0s
0 0 1.59063 0 84 0.94212 1.59063 68.8% - 0s
0 0 1.59008 0 83 0.94212 1.59008 68.8% - 0s
0 0 1.58890 0 82 0.94212 1.58890 68.7% - 0s
0 0 1.58889 0 82 0.94212 1.58889 68.7% - 0s
0 0 1.58663 0 85 0.94212 1.58663 68.4% - 0s
0 0 1.58630 0 86 0.94212 1.58630 68.4% - 0s
0 0 1.58625 0 86 0.94212 1.58625 68.4% - 0s
0 0 1.58625 0 86 0.94212 1.58625 68.4% - 0s
0 2 1.58625 0 86 0.94212 1.58625 68.4% - 0s
* 2471 560 72 0.9429417 1.13367 20.2% 8.8 2s
Explored 4021 nodes (32470 simplex iterations) in 3.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.942942 0.942117
Optimal solution found (tolerance 1.00e-02)
Best objective 9.429416894025e-01, best bound 9.429416894025e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptrvivgr8.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa6azil6q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.944162
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.712527e+00, 534 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71253 0 57 0.94416 1.71253 81.4% - 0s
0 0 1.67828 0 66 0.94416 1.67828 77.8% - 0s
0 0 1.67770 0 65 0.94416 1.67770 77.7% - 0s
0 0 1.65708 0 75 0.94416 1.65708 75.5% - 0s
0 0 1.65611 0 80 0.94416 1.65611 75.4% - 0s
0 0 1.64299 0 80 0.94416 1.64299 74.0% - 0s
0 0 1.64066 0 85 0.94416 1.64066 73.8% - 0s
0 0 1.62958 0 84 0.94416 1.62958 72.6% - 0s
0 0 1.62827 0 83 0.94416 1.62827 72.5% - 0s
0 0 1.61970 0 83 0.94416 1.61970 71.5% - 0s
0 0 1.61744 0 85 0.94416 1.61744 71.3% - 0s
0 0 1.61518 0 88 0.94416 1.61518 71.1% - 0s
0 0 1.61474 0 87 0.94416 1.61474 71.0% - 0s
0 0 1.61038 0 86 0.94416 1.61038 70.6% - 0s
0 0 1.60860 0 90 0.94416 1.60860 70.4% - 0s
0 0 1.60680 0 89 0.94416 1.60680 70.2% - 0s
0 0 1.60179 0 87 0.94416 1.60179 69.7% - 0s
0 0 1.59799 0 90 0.94416 1.59799 69.2% - 0s
0 0 1.59784 0 91 0.94416 1.59784 69.2% - 0s
0 0 1.59599 0 93 0.94416 1.59599 69.0% - 0s
0 0 1.59570 0 92 0.94416 1.59570 69.0% - 0s
0 0 1.59558 0 94 0.94416 1.59558 69.0% - 0s
0 0 1.59556 0 94 0.94416 1.59556 69.0% - 0s
0 0 1.59556 0 94 0.94416 1.59556 69.0% - 0s
0 2 1.59556 0 76 0.94416 1.59556 69.0% - 0s
* 2963 307 68 0.9444652 1.04875 11.0% 7.9 3s
* 3178 140 71 0.9449378 1.02786 8.78% 7.9 3s
* 3342 130 76 0.9463370 1.00000 5.67% 7.8 3s
* 3402 96 72 0.9469124 1.00000 5.61% 7.7 3s
* 3430 96 61 0.9473525 1.00000 5.56% 7.6 3s
* 3511 99 64 0.9476482 0.98559 4.00% 7.6 3s
H 3569 39 0.9476482 0.98342 3.77% 7.5 3s
Explored 3719 nodes (28677 simplex iterations) in 3.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.947648 0.947648 0.947353 ... 0.944162
Optimal solution found (tolerance 1.00e-02)
Best objective 9.476482496241e-01, best bound 9.481218690463e-01, gap 0.0500%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpisshea9c.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd7vxu19b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923084
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.745525e+00, 603 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74552 0 54 0.92308 1.74552 89.1% - 0s
0 0 1.71475 0 64 0.92308 1.71475 85.8% - 0s
0 0 1.71406 0 63 0.92308 1.71406 85.7% - 0s
0 0 1.69679 0 72 0.92308 1.69679 83.8% - 0s
0 0 1.68888 0 68 0.92308 1.68888 83.0% - 0s
0 0 1.67244 0 71 0.92308 1.67244 81.2% - 0s
0 0 1.67220 0 71 0.92308 1.67220 81.2% - 0s
0 0 1.66066 0 65 0.92308 1.66066 79.9% - 0s
0 0 1.65732 0 74 0.92308 1.65732 79.5% - 0s
0 0 1.65078 0 75 0.92308 1.65078 78.8% - 0s
0 0 1.63912 0 76 0.92308 1.63912 77.6% - 0s
0 0 1.63109 0 81 0.92308 1.63109 76.7% - 0s
0 0 1.62528 0 76 0.92308 1.62528 76.1% - 0s
0 0 1.61945 0 78 0.92308 1.61945 75.4% - 0s
0 0 1.61942 0 77 0.92308 1.61942 75.4% - 0s
0 0 1.61685 0 81 0.92308 1.61685 75.2% - 0s
0 0 1.61675 0 83 0.92308 1.61675 75.1% - 0s
0 0 1.61566 0 89 0.92308 1.61566 75.0% - 0s
0 0 1.61550 0 91 0.92308 1.61550 75.0% - 0s
0 0 1.60822 0 80 0.92308 1.60822 74.2% - 0s
0 0 1.60417 0 85 0.92308 1.60417 73.8% - 0s
0 0 1.59786 0 78 0.92308 1.59786 73.1% - 0s
0 0 1.59767 0 81 0.92308 1.59767 73.1% - 0s
0 0 1.59617 0 81 0.92308 1.59617 72.9% - 0s
0 0 1.59616 0 80 0.92308 1.59616 72.9% - 0s
0 0 1.59604 0 84 0.92308 1.59604 72.9% - 0s
0 0 1.59602 0 84 0.92308 1.59602 72.9% - 0s
0 0 1.59527 0 84 0.92308 1.59527 72.8% - 0s
0 0 1.59488 0 80 0.92308 1.59488 72.8% - 0s
0 0 1.59488 0 80 0.92308 1.59488 72.8% - 0s
0 2 1.59488 0 80 0.92308 1.59488 72.8% - 0s
* 2222 403 68 0.9287430 1.10320 18.8% 11.5 4s
2395 434 1.07675 41 36 0.92874 1.09432 17.8% 11.2 5s
* 2857 403 66 0.9327702 1.05185 12.8% 11.0 5s
H 2962 426 0.9357647 1.04505 11.7% 10.9 5s
* 3523 309 69 0.9377188 1.00727 7.42% 10.7 6s
Cutting planes:
Gomory: 28
Cover: 3
Implied bound: 18
Projected implied bound: 29
MIR: 22
Flow cover: 62
Inf proof: 41
Explored 4207 nodes (44717 simplex iterations) in 6.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.937719 0.935765 0.93277 ... 0.923084
Optimal solution found (tolerance 1.00e-02)
Best objective 9.377188320682e-01, best bound 9.412042319240e-01, gap 0.3717%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1b638u9a.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwihe751g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923817
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.726111e+00, 636 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72611 0 57 0.92382 1.72611 86.8% - 0s
0 0 1.69342 0 67 0.92382 1.69342 83.3% - 0s
0 0 1.69288 0 67 0.92382 1.69288 83.2% - 0s
0 0 1.65279 0 82 0.92382 1.65279 78.9% - 0s
0 0 1.65134 0 80 0.92382 1.65134 78.8% - 0s
0 0 1.63575 0 78 0.92382 1.63575 77.1% - 0s
0 0 1.63449 0 80 0.92382 1.63449 76.9% - 0s
0 0 1.61680 0 81 0.92382 1.61680 75.0% - 0s
0 0 1.61476 0 86 0.92382 1.61476 74.8% - 0s
0 0 1.61054 0 88 0.92382 1.61054 74.3% - 0s
0 0 1.60338 0 87 0.92382 1.60338 73.6% - 0s
0 0 1.60338 0 87 0.92382 1.60338 73.6% - 0s
0 0 1.60304 0 87 0.92382 1.60304 73.5% - 0s
0 0 1.60198 0 86 0.92382 1.60198 73.4% - 0s
0 0 1.60189 0 87 0.92382 1.60189 73.4% - 0s
0 0 1.60138 0 86 0.92382 1.60138 73.3% - 0s
0 0 1.60133 0 86 0.92382 1.60133 73.3% - 0s
0 0 1.60109 0 86 0.92382 1.60109 73.3% - 0s
0 0 1.60109 0 81 0.92382 1.60109 73.3% - 0s
0 2 1.60109 0 79 0.92382 1.60109 73.3% - 0s
* 1875 600 116 0.9265703 1.15684 24.9% 9.7 2s
* 3884 547 92 0.9273097 1.07859 16.3% 8.2 4s
* 4677 570 100 0.9345494 1.04831 12.2% 7.8 4s
4694 569 0.98683 63 33 0.93455 1.04649 12.0% 7.8 5s
H 4704 568 0.9348125 1.04649 11.9% 7.8 5s
* 5000 485 99 0.9368998 1.03414 10.4% 7.8 5s
Cutting planes:
Learned: 1
Explored 5925 nodes (46943 simplex iterations) in 6.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.9369 0.934813 0.934549 ... 0.923817
Optimal solution found (tolerance 1.00e-02)
Best objective 9.368998430761e-01, best bound 9.386567160843e-01, gap 0.1875%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpalaq9c02.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8vub8qd_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920316
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.722983e+00, 612 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72298 0 57 0.92032 1.72298 87.2% - 0s
0 0 1.69434 0 77 0.92032 1.69434 84.1% - 0s
0 0 1.69383 0 77 0.92032 1.69383 84.0% - 0s
0 0 1.64644 0 73 0.92032 1.64644 78.9% - 0s
0 0 1.63904 0 80 0.92032 1.63904 78.1% - 0s
0 0 1.62201 0 81 0.92032 1.62201 76.2% - 0s
0 0 1.62063 0 83 0.92032 1.62063 76.1% - 0s
0 0 1.59995 0 83 0.92032 1.59995 73.8% - 0s
0 0 1.59783 0 84 0.92032 1.59783 73.6% - 0s
0 0 1.59622 0 87 0.92032 1.59622 73.4% - 0s
0 0 1.59556 0 88 0.92032 1.59556 73.4% - 0s
0 0 1.59218 0 75 0.92032 1.59218 73.0% - 0s
0 0 1.59135 0 86 0.92032 1.59135 72.9% - 0s
0 0 1.58905 0 88 0.92032 1.58905 72.7% - 0s
0 0 1.58678 0 85 0.92032 1.58678 72.4% - 0s
0 0 1.58671 0 92 0.92032 1.58671 72.4% - 0s
0 0 1.58669 0 94 0.92032 1.58669 72.4% - 0s
0 0 1.57583 0 89 0.92032 1.57583 71.2% - 0s
0 0 1.57505 0 91 0.92032 1.57505 71.1% - 0s
0 0 1.57159 0 87 0.92032 1.57159 70.8% - 0s
0 0 1.57159 0 86 0.92032 1.57159 70.8% - 0s
0 0 1.57071 0 88 0.92032 1.57071 70.7% - 0s
0 0 1.57071 0 88 0.92032 1.57071 70.7% - 0s
0 0 1.57071 0 90 0.92032 1.57071 70.7% - 0s
0 0 1.57071 0 90 0.92032 1.57071 70.7% - 0s
0 2 1.57071 0 90 0.92032 1.57071 70.7% - 0s
* 351 220 115 0.9246075 1.33657 44.6% 13.0 0s
* 1555 460 96 0.9270238 1.15812 24.9% 9.3 2s
* 3408 472 86 0.9302038 1.05335 13.2% 7.6 3s
4585 340 0.96340 60 23 0.93020 0.98631 6.03% 7.3 5s
H 4842 281 0.9315000 0.97668 4.85% 7.3 5s
* 5054 145 74 0.9320939 0.96372 3.39% 7.3 5s
* 5278 4 76 0.9323991 0.95129 2.03% 7.3 5s
Explored 5317 nodes (40166 simplex iterations) in 5.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.932399 0.932094 0.9315 ... 0.920316
Optimal solution found (tolerance 1.00e-02)
Best objective 9.323991262596e-01, best bound 9.328808984237e-01, gap 0.0517%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphiwws8l1.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcn7lm7dr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899004
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.663780e+00, 660 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66378 0 57 0.89900 1.66378 85.1% - 0s
0 0 1.63676 0 72 0.89900 1.63676 82.1% - 0s
0 0 1.63627 0 72 0.89900 1.63627 82.0% - 0s
0 0 1.61297 0 83 0.89900 1.61297 79.4% - 0s
0 0 1.60661 0 84 0.89900 1.60661 78.7% - 0s
0 0 1.59319 0 88 0.89900 1.59319 77.2% - 0s
0 0 1.59058 0 87 0.89900 1.59058 76.9% - 0s
0 0 1.58425 0 84 0.89900 1.58425 76.2% - 0s
0 0 1.58208 0 84 0.89900 1.58208 76.0% - 0s
0 0 1.57921 0 90 0.89900 1.57921 75.7% - 0s
0 0 1.57683 0 87 0.89900 1.57683 75.4% - 0s
0 0 1.57054 0 93 0.89900 1.57054 74.7% - 0s
0 0 1.56876 0 91 0.89900 1.56876 74.5% - 0s
0 0 1.56868 0 93 0.89900 1.56868 74.5% - 0s
0 0 1.56670 0 92 0.89900 1.56670 74.3% - 0s
0 0 1.56178 0 91 0.89900 1.56178 73.7% - 0s
0 0 1.55543 0 94 0.89900 1.55543 73.0% - 0s
0 0 1.55498 0 94 0.89900 1.55498 73.0% - 0s
0 0 1.55465 0 92 0.89900 1.55465 72.9% - 0s
0 0 1.55465 0 92 0.89900 1.55465 72.9% - 0s
0 0 1.55410 0 94 0.89900 1.55410 72.9% - 0s
0 0 1.55219 0 94 0.89900 1.55219 72.7% - 0s
0 0 1.55135 0 91 0.89900 1.55135 72.6% - 0s
0 0 1.55135 0 92 0.89900 1.55135 72.6% - 0s
0 0 1.55004 0 92 0.89900 1.55004 72.4% - 0s
0 0 1.54974 0 93 0.89900 1.54974 72.4% - 0s
0 0 1.54032 0 94 0.89900 1.54032 71.3% - 0s
0 0 1.53935 0 95 0.89900 1.53935 71.2% - 0s
0 0 1.53926 0 95 0.89900 1.53926 71.2% - 0s
0 0 1.53926 0 95 0.89900 1.53926 71.2% - 0s
0 0 1.53926 0 95 0.89900 1.53926 71.2% - 0s
0 0 1.53926 0 95 0.89900 1.53926 71.2% - 0s
0 2 1.53926 0 85 0.89900 1.53926 71.2% - 0s
4099 79 infeasible 61 0.89900 0.93745 4.28% 8.0 5s
Explored 4286 nodes (35938 simplex iterations) in 5.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.899004
Optimal solution found (tolerance 1.00e-02)
Best objective 8.990042266370e-01, best bound 8.997878287921e-01, gap 0.0872%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe3vp2yn_.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo55zd4oe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906626
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.677165e+00, 708 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67716 0 59 0.90663 1.67716 85.0% - 0s
0 0 1.64953 0 76 0.90663 1.64953 81.9% - 0s
0 0 1.64905 0 76 0.90663 1.64905 81.9% - 0s
0 0 1.62029 0 81 0.90663 1.62029 78.7% - 0s
0 0 1.61744 0 88 0.90663 1.61744 78.4% - 0s
0 0 1.60320 0 91 0.90663 1.60320 76.8% - 0s
0 0 1.60305 0 91 0.90663 1.60305 76.8% - 0s
0 0 1.59764 0 100 0.90663 1.59764 76.2% - 0s
0 0 1.59562 0 99 0.90663 1.59562 76.0% - 0s
0 0 1.59219 0 100 0.90663 1.59219 75.6% - 0s
0 0 1.59124 0 100 0.90663 1.59124 75.5% - 0s
0 0 1.58169 0 93 0.90663 1.58169 74.5% - 0s
0 0 1.57875 0 94 0.90663 1.57875 74.1% - 0s
0 0 1.57772 0 96 0.90663 1.57772 74.0% - 0s
0 0 1.57772 0 97 0.90663 1.57772 74.0% - 0s
0 0 1.57767 0 95 0.90663 1.57767 74.0% - 0s
0 0 1.57767 0 95 0.90663 1.57767 74.0% - 0s
0 2 1.57767 0 95 0.90663 1.57767 74.0% - 0s
3697 698 0.93313 62 50 0.90663 1.09367 20.6% 8.7 5s
H 5378 886 0.9066785 1.04698 15.5% 8.4 6s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 12
MIR: 6
Flow cover: 24
Flow path: 1
Inf proof: 2
Explored 8049 nodes (69707 simplex iterations) in 9.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.906678 0.906626
Optimal solution found (tolerance 1.00e-02)
Best objective 9.066784583837e-01, best bound 9.066784583837e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6oqilqon.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdaniuboq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.898077
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.658408e+00, 690 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65841 0 64 0.89808 1.65841 84.7% - 0s
0 0 1.63121 0 80 0.89808 1.63121 81.6% - 0s
0 0 1.63075 0 79 0.89808 1.63075 81.6% - 0s
0 0 1.60003 0 99 0.89808 1.60003 78.2% - 0s
0 0 1.59916 0 98 0.89808 1.59916 78.1% - 0s
0 0 1.58128 0 101 0.89808 1.58128 76.1% - 0s
0 0 1.58067 0 106 0.89808 1.58067 76.0% - 0s
0 0 1.56392 0 103 0.89808 1.56392 74.1% - 0s
0 0 1.56236 0 103 0.89808 1.56236 74.0% - 0s
0 0 1.56069 0 103 0.89808 1.56069 73.8% - 0s
0 0 1.56056 0 102 0.89808 1.56056 73.8% - 0s
0 0 1.54988 0 101 0.89808 1.54988 72.6% - 0s
0 0 1.54957 0 103 0.89808 1.54957 72.5% - 0s
0 0 1.54819 0 97 0.89808 1.54819 72.4% - 0s
0 0 1.54810 0 98 0.89808 1.54810 72.4% - 0s
0 0 1.54799 0 100 0.89808 1.54799 72.4% - 0s
0 0 1.54587 0 94 0.89808 1.54587 72.1% - 0s
0 0 1.54421 0 97 0.89808 1.54421 71.9% - 0s
0 0 1.54399 0 96 0.89808 1.54399 71.9% - 0s
0 0 1.54389 0 97 0.89808 1.54389 71.9% - 0s
0 0 1.54334 0 98 0.89808 1.54334 71.8% - 0s
0 0 1.54315 0 98 0.89808 1.54315 71.8% - 0s
0 0 1.54297 0 97 0.89808 1.54297 71.8% - 0s
0 0 1.54267 0 94 0.89808 1.54267 71.8% - 0s
0 0 1.54264 0 94 0.89808 1.54264 71.8% - 0s
0 0 1.54262 0 94 0.89808 1.54262 71.8% - 0s
0 0 1.54260 0 94 0.89808 1.54260 71.8% - 0s
0 0 1.54260 0 94 0.89808 1.54260 71.8% - 0s
0 0 1.54260 0 94 0.89808 1.54260 71.8% - 0s
0 2 1.54260 0 94 0.89808 1.54260 71.8% - 0s
1976 497 0.93413 40 59 0.89808 1.16447 29.7% 16.5 5s
7176 1130 infeasible 54 0.89808 0.96595 7.56% 10.3 10s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 12
MIR: 14
Flow cover: 35
Flow path: 1
Inf proof: 3
Explored 11365 nodes (107901 simplex iterations) in 14.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.898077
Optimal solution found (tolerance 1.00e-02)
Best objective 8.980772691413e-01, best bound 9.064498855531e-01, gap 0.9323%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8xraxuws.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbxq_l26t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895122
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.629844e+00, 743 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62984 0 65 0.89512 1.62984 82.1% - 0s
0 0 1.60982 0 76 0.89512 1.60982 79.8% - 0s
0 0 1.60938 0 76 0.89512 1.60938 79.8% - 0s
0 0 1.50449 0 81 0.89512 1.50449 68.1% - 0s
0 0 1.49489 0 80 0.89512 1.49489 67.0% - 0s
0 0 1.48657 0 96 0.89512 1.48657 66.1% - 0s
0 0 1.48370 0 94 0.89512 1.48370 65.8% - 0s
0 0 1.47053 0 97 0.89512 1.47053 64.3% - 0s
0 0 1.46854 0 97 0.89512 1.46854 64.1% - 0s
0 0 1.46579 0 101 0.89512 1.46579 63.8% - 0s
0 0 1.46552 0 102 0.89512 1.46552 63.7% - 0s
0 0 1.45505 0 100 0.89512 1.45505 62.6% - 0s
0 0 1.45284 0 103 0.89512 1.45284 62.3% - 0s
0 0 1.44173 0 95 0.89512 1.44173 61.1% - 0s
0 0 1.43850 0 94 0.89512 1.43850 60.7% - 0s
0 0 1.43803 0 97 0.89512 1.43803 60.7% - 0s
0 0 1.43778 0 97 0.89512 1.43778 60.6% - 0s
0 0 1.43778 0 97 0.89512 1.43778 60.6% - 0s
0 0 1.43778 0 97 0.89512 1.43778 60.6% - 0s
0 0 1.43778 0 97 0.89512 1.43778 60.6% - 0s
0 2 1.43778 0 91 0.89512 1.43778 60.6% - 0s
773 494 1.28011 15 90 0.89512 1.28011 43.0% 18.6 5s
2739 703 0.90683 39 63 0.89512 1.13124 26.4% 19.5 10s
H 4998 1357 0.8951223 1.06877 19.4% 15.9 12s
H 5779 1339 0.8951223 1.03268 15.4% 15.1 13s
7172 1377 cutoff 71 0.89512 1.00487 12.3% 14.1 15s
Cutting planes:
Gomory: 19
Cover: 6
Implied bound: 34
Projected implied bound: 39
MIR: 22
Flow cover: 116
Flow path: 1
Inf proof: 87
Explored 10579 nodes (145166 simplex iterations) in 19.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.895122 0.895122 0.895122
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (7.4731e-06) exceeds tolerance
Best objective 8.951222533320e-01, best bound 8.951222533320e-01, gap 0.0000%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmo5_u31y.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2w4thvnv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.885122
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.587186e+00, 737 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58719 0 70 0.88512 1.58719 79.3% - 0s
0 0 1.55950 0 85 0.88512 1.55950 76.2% - 0s
0 0 1.55907 0 85 0.88512 1.55907 76.1% - 0s
0 0 1.50700 0 92 0.88512 1.50700 70.3% - 0s
0 0 1.50666 0 92 0.88512 1.50666 70.2% - 0s
0 0 1.49387 0 96 0.88512 1.49387 68.8% - 0s
0 0 1.49023 0 93 0.88512 1.49023 68.4% - 0s
0 0 1.48140 0 93 0.88512 1.48140 67.4% - 0s
0 0 1.47946 0 96 0.88512 1.47946 67.1% - 0s
0 0 1.47605 0 98 0.88512 1.47605 66.8% - 0s
0 0 1.47588 0 99 0.88512 1.47588 66.7% - 0s
0 0 1.47514 0 99 0.88512 1.47514 66.7% - 0s
0 0 1.47514 0 99 0.88512 1.47514 66.7% - 0s
0 0 1.47509 0 96 0.88512 1.47509 66.7% - 0s
0 0 1.47499 0 99 0.88512 1.47499 66.6% - 0s
0 0 1.47479 0 99 0.88512 1.47479 66.6% - 0s
0 0 1.47479 0 99 0.88512 1.47479 66.6% - 0s
0 2 1.47479 0 99 0.88512 1.47479 66.6% - 0s
3214 743 0.98672 43 60 0.88512 1.08654 22.8% 11.0 5s
7869 931 infeasible 28 0.88512 0.95987 8.44% 9.0 10s
Cutting planes:
Learned: 2
Explored 10303 nodes (92205 simplex iterations) in 13.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.885122
Optimal solution found (tolerance 1.00e-02)
Best objective 8.851215798011e-01, best bound 8.851215798011e-01, gap 0.0000%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi7sf1mwz.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqnyy6_9h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.867028
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.546587e+00, 759 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54659 0 67 0.86703 1.54659 78.4% - 0s
0 0 1.52450 0 85 0.86703 1.52450 75.8% - 0s
0 0 1.52408 0 85 0.86703 1.52408 75.8% - 0s
0 0 1.41307 0 94 0.86703 1.41307 63.0% - 0s
0 0 1.41286 0 93 0.86703 1.41286 63.0% - 0s
0 0 1.40390 0 98 0.86703 1.40390 61.9% - 0s
0 0 1.39857 0 96 0.86703 1.39857 61.3% - 0s
0 0 1.39400 0 111 0.86703 1.39400 60.8% - 0s
0 0 1.39146 0 107 0.86703 1.39146 60.5% - 0s
0 0 1.38198 0 110 0.86703 1.38198 59.4% - 0s
0 0 1.38127 0 113 0.86703 1.38127 59.3% - 0s
0 0 1.36689 0 107 0.86703 1.36689 57.7% - 0s
0 0 1.36589 0 109 0.86703 1.36589 57.5% - 0s
0 0 1.36550 0 109 0.86703 1.36550 57.5% - 0s
0 0 1.36548 0 112 0.86703 1.36548 57.5% - 0s
0 0 1.36534 0 111 0.86703 1.36534 57.5% - 0s
0 0 1.36522 0 111 0.86703 1.36522 57.5% - 0s
0 0 1.36428 0 109 0.86703 1.36428 57.4% - 0s
0 0 1.36428 0 109 0.86703 1.36428 57.4% - 0s
0 0 1.36426 0 109 0.86703 1.36426 57.3% - 0s
0 0 1.36426 0 100 0.86703 1.36426 57.3% - 0s
0 2 1.36426 0 100 0.86703 1.36426 57.3% - 0s
760 492 1.22904 20 97 0.86703 1.22904 41.8% 19.1 5s
3029 983 1.05263 39 80 0.86703 1.09519 26.3% 17.2 10s
6493 1249 0.94052 45 76 0.86703 0.98428 13.5% 15.4 15s
9826 631 0.90337 66 45 0.86703 0.91343 5.35% 14.6 20s
Cutting planes:
Learned: 1
Gomory: 38
Cover: 5
Implied bound: 28
Projected implied bound: 51
MIR: 26
Flow cover: 97
Flow path: 1
Inf proof: 128
Explored 11091 nodes (161105 simplex iterations) in 21.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.867028
Optimal solution found (tolerance 1.00e-02)
Best objective 8.670275897240e-01, best bound 8.670275897240e-01, gap 0.0000%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9l79o8pe.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0gaik18y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.871276
Presolve removed 494 rows and 309 columns
Presolve time: 0.03s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.553198e+00, 834 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55320 0 71 0.87128 1.55320 78.3% - 0s
0 0 1.53308 0 93 0.87128 1.53308 76.0% - 0s
0 0 1.53267 0 93 0.87128 1.53267 75.9% - 0s
0 0 1.44592 0 100 0.87128 1.44592 66.0% - 0s
0 0 1.43699 0 106 0.87128 1.43699 64.9% - 0s
0 0 1.42014 0 107 0.87128 1.42014 63.0% - 0s
0 0 1.41869 0 104 0.87128 1.41869 62.8% - 0s
0 0 1.40146 0 109 0.87128 1.40146 60.9% - 0s
0 0 1.39729 0 111 0.87128 1.39729 60.4% - 0s
0 0 1.39511 0 115 0.87128 1.39511 60.1% - 0s
0 0 1.39286 0 113 0.87128 1.39286 59.9% - 0s
0 0 1.38946 0 109 0.87128 1.38946 59.5% - 0s
0 0 1.38786 0 117 0.87128 1.38786 59.3% - 0s
0 0 1.38669 0 117 0.87128 1.38669 59.2% - 0s
0 0 1.38664 0 118 0.87128 1.38664 59.2% - 0s
0 0 1.38647 0 117 0.87128 1.38647 59.1% - 0s
0 0 1.38647 0 117 0.87128 1.38647 59.1% - 0s
0 0 1.38647 0 106 0.87128 1.38647 59.1% - 0s
0 2 1.38647 0 104 0.87128 1.38647 59.1% - 0s
965 553 1.05701 45 81 0.87128 1.18704 36.2% 17.1 5s
4110 1073 0.99119 48 65 0.87128 1.05120 20.7% 12.9 10s
7337 1340 infeasible 48 0.87128 0.97202 11.6% 12.3 15s
10365 467 infeasible 65 0.87128 0.90524 3.90% 12.8 20s
Cutting planes:
Gomory: 36
Cover: 6
Implied bound: 29
Projected implied bound: 46
MIR: 34
Flow cover: 73
Flow path: 1
Inf proof: 65
Explored 11106 nodes (142433 simplex iterations) in 20.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.871276
Optimal solution found (tolerance 1.00e-02)
Best objective 8.712759352679e-01, best bound 8.760059711681e-01, gap 0.5429%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphlau6hra.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6hw7nbgw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.868027
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.555174e+00, 852 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55517 0 69 0.86803 1.55517 79.2% - 0s
0 0 1.53531 0 85 0.86803 1.53531 76.9% - 0s
0 0 1.53491 0 85 0.86803 1.53491 76.8% - 0s
0 0 1.46286 0 95 0.86803 1.46286 68.5% - 0s
0 0 1.46072 0 100 0.86803 1.46072 68.3% - 0s
0 0 1.45166 0 102 0.86803 1.45166 67.2% - 0s
0 0 1.45148 0 99 0.86803 1.45148 67.2% - 0s
0 0 1.44428 0 109 0.86803 1.44428 66.4% - 0s
0 0 1.44347 0 109 0.86803 1.44347 66.3% - 0s
0 0 1.43188 0 115 0.86803 1.43188 65.0% - 0s
0 0 1.43164 0 115 0.86803 1.43164 64.9% - 0s
0 0 1.43122 0 119 0.86803 1.43122 64.9% - 0s
0 0 1.43117 0 121 0.86803 1.43117 64.9% - 0s
0 0 1.42737 0 117 0.86803 1.42737 64.4% - 0s
0 0 1.42418 0 120 0.86803 1.42418 64.1% - 0s
0 0 1.42345 0 121 0.86803 1.42345 64.0% - 0s
0 0 1.42331 0 121 0.86803 1.42331 64.0% - 0s
0 0 1.42215 0 114 0.86803 1.42215 63.8% - 0s
0 0 1.42159 0 116 0.86803 1.42159 63.8% - 0s
0 0 1.41997 0 118 0.86803 1.41997 63.6% - 0s
0 0 1.41867 0 122 0.86803 1.41867 63.4% - 0s
0 0 1.41663 0 119 0.86803 1.41663 63.2% - 0s
0 0 1.41642 0 120 0.86803 1.41642 63.2% - 0s
0 0 1.41629 0 123 0.86803 1.41629 63.2% - 0s
0 0 1.41629 0 123 0.86803 1.41629 63.2% - 0s
0 2 1.41629 0 123 0.86803 1.41629 63.2% - 0s
775 504 1.18915 14 93 0.86803 1.18915 37.0% 20.6 5s
3059 964 1.04721 38 93 0.86803 1.08563 25.1% 16.8 10s
6667 1373 infeasible 71 0.86803 0.99234 14.3% 13.4 15s
10928 1073 cutoff 84 0.86803 0.93161 7.32% 12.5 20s
Cutting planes:
Gomory: 22
Cover: 8
Implied bound: 31
Projected implied bound: 50
MIR: 21
Flow cover: 110
Flow path: 2
Inf proof: 114
Explored 13279 nodes (166423 simplex iterations) in 23.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.868027
Optimal solution found (tolerance 1.00e-02)
Best objective 8.680265525067e-01, best bound 8.702544684596e-01, gap 0.2567%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp30g6jmby.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxndi47dr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.85093
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.526498e+00, 822 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52650 0 76 0.85093 1.52650 79.4% - 0s
0 0 1.50594 0 91 0.85093 1.50594 77.0% - 0s
0 0 1.50556 0 91 0.85093 1.50556 76.9% - 0s
0 0 1.40910 0 114 0.85093 1.40910 65.6% - 0s
0 0 1.40888 0 115 0.85093 1.40888 65.6% - 0s
0 0 1.40651 0 103 0.85093 1.40651 65.3% - 0s
0 0 1.40492 0 102 0.85093 1.40492 65.1% - 0s
0 0 1.39011 0 113 0.85093 1.39011 63.4% - 0s
0 0 1.38638 0 107 0.85093 1.38638 62.9% - 0s
0 0 1.38526 0 113 0.85093 1.38526 62.8% - 0s
0 0 1.38492 0 112 0.85093 1.38492 62.8% - 0s
0 0 1.38456 0 115 0.85093 1.38456 62.7% - 0s
0 0 1.38448 0 115 0.85093 1.38448 62.7% - 0s
0 0 1.38448 0 113 0.85093 1.38448 62.7% - 0s
0 0 1.38416 0 112 0.85093 1.38416 62.7% - 0s
0 0 1.38364 0 125 0.85093 1.38364 62.6% - 0s
0 0 1.38346 0 125 0.85093 1.38346 62.6% - 0s
0 0 1.38138 0 120 0.85093 1.38138 62.3% - 0s
0 0 1.37940 0 119 0.85093 1.37940 62.1% - 0s
0 0 1.37868 0 123 0.85093 1.37868 62.0% - 0s
0 0 1.37814 0 126 0.85093 1.37814 62.0% - 0s
0 0 1.37806 0 130 0.85093 1.37806 61.9% - 0s
0 0 1.37806 0 111 0.85093 1.37806 61.9% - 0s
0 2 1.37806 0 106 0.85093 1.37806 61.9% - 0s
755 410 1.21809 13 105 0.85093 1.21809 43.1% 25.9 5s
2562 538 infeasible 34 0.85093 1.08264 27.2% 21.0 10s
H 3464 946 0.8512155 1.06630 25.3% 18.1 11s
6429 1529 0.95976 56 53 0.85122 1.00916 18.6% 14.7 15s
10035 1873 infeasible 63 0.85122 0.95897 12.7% 12.9 20s
13117 1502 cutoff 76 0.85122 0.91750 7.79% 12.6 25s
Cutting planes:
Gomory: 34
Cover: 6
Implied bound: 43
Projected implied bound: 43
MIR: 23
Flow cover: 86
Flow path: 2
Inf proof: 154
Network: 1
Explored 16353 nodes (207028 simplex iterations) in 29.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.851215 0.85093
Optimal solution found (tolerance 1.00e-02)
Best objective 8.512154518699e-01, best bound 8.593270592215e-01, gap 0.9529%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1j06m8eu.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpewri9yyx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844893
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.498565e+00, 911 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49857 0 79 0.84489 1.49857 77.4% - 0s
0 0 1.47627 0 95 0.84489 1.47627 74.7% - 0s
0 0 1.47590 0 95 0.84489 1.47590 74.7% - 0s
0 0 1.39171 0 114 0.84489 1.39171 64.7% - 0s
0 0 1.38609 0 116 0.84489 1.38609 64.1% - 0s
0 0 1.37756 0 121 0.84489 1.37756 63.0% - 0s
0 0 1.37693 0 124 0.84489 1.37693 63.0% - 0s
0 0 1.36825 0 119 0.84489 1.36825 61.9% - 0s
0 0 1.36744 0 129 0.84489 1.36744 61.8% - 0s
0 0 1.36327 0 133 0.84489 1.36327 61.4% - 0s
0 0 1.36228 0 132 0.84489 1.36228 61.2% - 0s
0 0 1.36046 0 132 0.84489 1.36046 61.0% - 0s
0 0 1.36043 0 132 0.84489 1.36043 61.0% - 0s
0 0 1.35860 0 133 0.84489 1.35860 60.8% - 0s
0 0 1.35843 0 130 0.84489 1.35843 60.8% - 0s
0 0 1.35771 0 130 0.84489 1.35771 60.7% - 0s
0 0 1.35704 0 130 0.84489 1.35704 60.6% - 0s
0 0 1.35704 0 131 0.84489 1.35704 60.6% - 0s
0 0 1.35704 0 131 0.84489 1.35704 60.6% - 0s
0 0 1.35704 0 108 0.84489 1.35704 60.6% - 0s
0 2 1.35704 0 107 0.84489 1.35704 60.6% - 0s
761 476 1.21221 10 108 0.84489 1.21221 43.5% 21.9 5s
2224 679 infeasible 25 0.84489 1.13220 34.0% 20.1 10s
5361 1703 infeasible 65 0.84489 1.01980 20.7% 16.6 15s
8632 1847 infeasible 55 0.84489 0.96382 14.1% 14.9 20s
11817 1375 infeasible 51 0.84489 0.91188 7.93% 14.0 25s
Cutting planes:
Learned: 1
Gomory: 33
Cover: 9
Implied bound: 32
Projected implied bound: 48
MIR: 29
Flow cover: 115
Flow path: 3
Inf proof: 169
Explored 14707 nodes (199765 simplex iterations) in 29.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.844893
Optimal solution found (tolerance 1.00e-02)
Best objective 8.448931257882e-01, best bound 8.462237027626e-01, gap 0.1575%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkb0warz2.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgauncsrz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.832458
Presolve removed 546 rows and 341 columns
Presolve time: 0.04s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.484228e+00, 892 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48423 0 76 0.83246 1.48423 78.3% - 0s
0 0 1.46732 0 92 0.83246 1.46732 76.3% - 0s
0 0 1.46696 0 92 0.83246 1.46696 76.2% - 0s
0 0 1.39107 0 110 0.83246 1.39107 67.1% - 0s
0 0 1.38715 0 109 0.83246 1.38715 66.6% - 0s
0 0 1.37839 0 122 0.83246 1.37839 65.6% - 0s
0 0 1.37647 0 124 0.83246 1.37647 65.4% - 0s
0 0 1.37078 0 102 0.83246 1.37078 64.7% - 0s
0 0 1.36547 0 115 0.83246 1.36547 64.0% - 0s
0 0 1.36249 0 112 0.83246 1.36249 63.7% - 0s
0 0 1.35756 0 113 0.83246 1.35756 63.1% - 0s
0 0 1.35385 0 122 0.83246 1.35385 62.6% - 0s
0 0 1.35312 0 126 0.83246 1.35312 62.5% - 0s
0 0 1.35206 0 111 0.83246 1.35206 62.4% - 0s
0 0 1.35125 0 118 0.83246 1.35125 62.3% - 0s
0 0 1.34752 0 110 0.83246 1.34752 61.9% - 0s
0 0 1.34702 0 111 0.83246 1.34702 61.8% - 0s
0 0 1.34491 0 119 0.83246 1.34491 61.6% - 0s
0 0 1.34484 0 121 0.83246 1.34484 61.6% - 0s
0 0 1.34392 0 119 0.83246 1.34392 61.4% - 0s
0 0 1.34380 0 117 0.83246 1.34380 61.4% - 0s
0 0 1.34348 0 117 0.83246 1.34348 61.4% - 0s
0 0 1.34348 0 101 0.83246 1.34348 61.4% - 0s
0 2 1.34348 0 99 0.83246 1.34348 61.4% - 0s
775 473 1.14805 13 108 0.83246 1.14805 37.9% 22.1 5s
2596 569 0.92117 41 94 0.83246 1.04389 25.4% 19.3 10s
7285 1947 0.90044 74 44 0.83246 0.95032 14.2% 12.9 15s
10999 1931 0.88262 71 44 0.83246 0.90882 9.17% 12.8 20s
14290 1368 cutoff 80 0.83246 0.87663 5.31% 12.9 25s
Cutting planes:
Learned: 1
Gomory: 27
Cover: 3
Implied bound: 42
Projected implied bound: 44
MIR: 38
Flow cover: 101
Flow path: 2
Inf proof: 172
Explored 17418 nodes (220692 simplex iterations) in 29.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.832458
Optimal solution found (tolerance 1.00e-02)
Best objective 8.324579198602e-01, best bound 8.381125208143e-01, gap 0.6793%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpptb91jrk.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptld9sov_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829764
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.463473e+00, 937 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46347 0 77 0.82976 1.46347 76.4% - 0s
0 0 1.44566 0 95 0.82976 1.44566 74.2% - 0s
0 0 1.44531 0 95 0.82976 1.44531 74.2% - 0s
0 0 1.37472 0 111 0.82976 1.37472 65.7% - 0s
0 0 1.37333 0 117 0.82976 1.37333 65.5% - 0s
0 0 1.37010 0 125 0.82976 1.37010 65.1% - 0s
0 0 1.36841 0 122 0.82976 1.36841 64.9% - 0s
0 0 1.36256 0 127 0.82976 1.36256 64.2% - 0s
0 0 1.35929 0 127 0.82976 1.35929 63.8% - 0s
0 0 1.35712 0 127 0.82976 1.35712 63.6% - 0s
0 0 1.35650 0 129 0.82976 1.35650 63.5% - 0s
0 0 1.35545 0 127 0.82976 1.35545 63.4% - 0s
0 0 1.35365 0 129 0.82976 1.35365 63.1% - 0s
0 0 1.35322 0 130 0.82976 1.35322 63.1% - 0s
0 0 1.35322 0 131 0.82976 1.35322 63.1% - 0s
0 0 1.35065 0 125 0.82976 1.35065 62.8% - 0s
0 0 1.34967 0 122 0.82976 1.34967 62.7% - 0s
0 0 1.34545 0 122 0.82976 1.34545 62.1% - 0s
0 0 1.34456 0 118 0.82976 1.34456 62.0% - 0s
0 0 1.34329 0 123 0.82976 1.34329 61.9% - 0s
0 0 1.34289 0 124 0.82976 1.34289 61.8% - 0s
0 0 1.34137 0 118 0.82976 1.34137 61.7% - 0s
0 0 1.34106 0 116 0.82976 1.34106 61.6% - 0s
0 0 1.33907 0 122 0.82976 1.33907 61.4% - 0s
0 0 1.33876 0 125 0.82976 1.33876 61.3% - 0s
0 0 1.33696 0 123 0.82976 1.33696 61.1% - 0s
0 0 1.33694 0 123 0.82976 1.33694 61.1% - 0s
0 0 1.33624 0 125 0.82976 1.33624 61.0% - 0s
0 0 1.33613 0 126 0.82976 1.33613 61.0% - 0s
0 0 1.33599 0 126 0.82976 1.33599 61.0% - 0s
0 0 1.33599 0 99 0.82976 1.33599 61.0% - 0s
0 2 1.33599 0 97 0.82976 1.33599 61.0% - 0s
752 426 1.11604 18 107 0.82976 1.18856 43.2% 19.6 5s
1983 564 1.05736 29 103 0.82976 1.11629 34.5% 21.7 10s
5126 1738 0.89727 38 95 0.82976 1.02866 24.0% 17.7 15s
9088 1881 0.87021 78 49 0.82976 0.94293 13.6% 15.2 20s
12276 1405 infeasible 52 0.82976 0.88846 7.07% 14.6 25s
Cutting planes:
Gomory: 32
Cover: 7
Implied bound: 46
Projected implied bound: 52
MIR: 33
Flow cover: 111
Flow path: 1
Inf proof: 163
Explored 15255 nodes (217513 simplex iterations) in 29.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.829764
Optimal solution found (tolerance 1.00e-02)
Best objective 8.297639517100e-01, best bound 8.367686895276e-01, gap 0.8442%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpltihs1hl.pyomo.lp
Reading time = 0.02 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp6dchsmb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.817673
Presolve removed 572 rows and 357 columns
Presolve time: 0.04s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.438618e+00, 972 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43862 0 81 0.81767 1.43862 75.9% - 0s
0 0 1.41948 0 104 0.81767 1.41948 73.6% - 0s
0 0 1.41913 0 104 0.81767 1.41913 73.6% - 0s
0 0 1.34607 0 115 0.81767 1.34607 64.6% - 0s
0 0 1.33922 0 121 0.81767 1.33922 63.8% - 0s
0 0 1.33252 0 125 0.81767 1.33252 63.0% - 0s
0 0 1.33142 0 123 0.81767 1.33142 62.8% - 0s
0 0 1.31824 0 130 0.81767 1.31824 61.2% - 0s
0 0 1.31493 0 135 0.81767 1.31493 60.8% - 0s
0 0 1.31157 0 139 0.81767 1.31157 60.4% - 0s
0 0 1.30973 0 141 0.81767 1.30973 60.2% - 0s
0 0 1.30954 0 141 0.81767 1.30954 60.2% - 0s
0 0 1.30954 0 141 0.81767 1.30954 60.2% - 0s
0 0 1.30924 0 140 0.81767 1.30924 60.1% - 0s
0 0 1.30924 0 141 0.81767 1.30924 60.1% - 0s
0 0 1.30924 0 141 0.81767 1.30924 60.1% - 0s
0 2 1.30924 0 119 0.81767 1.30924 60.1% - 0s
749 481 0.99334 22 121 0.81767 1.16518 42.5% 18.9 5s
2101 520 0.85389 105 43 0.81767 1.06292 30.0% 21.2 10s
5964 1349 0.85129 51 57 0.81767 0.93383 14.2% 14.6 15s
9589 2071 0.88112 64 52 0.81767 0.89858 9.89% 13.6 20s
11971 1762 infeasible 72 0.81767 0.87449 6.95% 14.3 25s
15115 435 infeasible 72 0.81767 0.83341 1.92% 13.7 30s
Cutting planes:
Gomory: 37
Cover: 7
Implied bound: 34
Projected implied bound: 47
Clique: 1
MIR: 29
Flow cover: 111
Flow path: 2
Inf proof: 145
Explored 15453 nodes (212684 simplex iterations) in 30.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.817673
Optimal solution found (tolerance 1.00e-02)
Best objective 8.176729536778e-01, best bound 8.236896863791e-01, gap 0.7358%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdf_k_xsz.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkm1128fj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.798993
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.402832e+00, 997 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40283 0 79 0.79899 1.40283 75.6% - 0s
0 0 1.38792 0 99 0.79899 1.38792 73.7% - 0s
0 0 1.38758 0 99 0.79899 1.38758 73.7% - 0s
0 0 1.31892 0 112 0.79899 1.31892 65.1% - 0s
0 0 1.31730 0 120 0.79899 1.31730 64.9% - 0s
0 0 1.31276 0 127 0.79899 1.31276 64.3% - 0s
0 0 1.31064 0 126 0.79899 1.31064 64.0% - 0s
0 0 1.30627 0 131 0.79899 1.30627 63.5% - 0s
0 0 1.30326 0 135 0.79899 1.30326 63.1% - 0s
0 0 1.29971 0 123 0.79899 1.29971 62.7% - 0s
0 0 1.29615 0 126 0.79899 1.29615 62.2% - 0s
0 0 1.29159 0 126 0.79899 1.29159 61.7% - 0s
0 0 1.29152 0 127 0.79899 1.29152 61.6% - 0s
0 0 1.28968 0 130 0.79899 1.28968 61.4% - 0s
0 0 1.28914 0 134 0.79899 1.28914 61.3% - 0s
0 0 1.28828 0 132 0.79899 1.28828 61.2% - 0s
0 0 1.28826 0 133 0.79899 1.28826 61.2% - 0s
0 0 1.28804 0 139 0.79899 1.28804 61.2% - 0s
0 0 1.28803 0 137 0.79899 1.28803 61.2% - 0s
0 0 1.28781 0 138 0.79899 1.28781 61.2% - 0s
0 0 1.28781 0 138 0.79899 1.28781 61.2% - 0s
0 2 1.28781 0 118 0.79899 1.28781 61.2% - 0s
761 416 0.95968 19 127 0.79899 1.14720 43.6% 18.7 5s
1383 576 0.95455 27 111 0.79899 1.10957 38.9% 25.5 10s
4320 1647 0.86928 43 97 0.79899 0.97479 22.0% 18.2 15s
7067 2345 cutoff 44 0.79899 0.94087 17.8% 15.8 20s
10089 2368 0.88687 74 69 0.79899 0.89418 11.9% 14.7 25s
H12849 2464 0.7989932 0.87151 9.08% 13.8 29s
12850 2456 0.85653 69 54 0.79899 0.87127 9.05% 13.8 30s
15112 2184 infeasible 66 0.79899 0.85313 6.78% 13.7 35s
17880 1751 0.80466 97 42 0.79899 0.83965 5.09% 13.6 40s
20451 374 infeasible 62 0.79899 0.81513 2.02% 13.4 45s
Cutting planes:
Learned: 1
Gomory: 48
Cover: 12
Implied bound: 38
Projected implied bound: 38
MIR: 32
Flow cover: 153
Flow path: 2
Inf proof: 210
Network: 1
Explored 20892 nodes (282272 simplex iterations) in 45.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.798993 0.798993
Optimal solution found (tolerance 1.00e-02)
Best objective 7.989931730330e-01, best bound 8.048705670878e-01, gap 0.7356%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmm0m7989.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgjhq9du_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.781961
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.367870e+00, 1019 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36787 0 80 0.78196 1.36787 74.9% - 0s
0 0 1.35446 0 101 0.78196 1.35446 73.2% - 0s
0 0 1.35414 0 101 0.78196 1.35414 73.2% - 0s
0 0 1.30919 0 118 0.78196 1.30919 67.4% - 0s
0 0 1.30226 0 123 0.78196 1.30226 66.5% - 0s
0 0 1.29319 0 132 0.78196 1.29319 65.4% - 0s
0 0 1.29095 0 133 0.78196 1.29095 65.1% - 0s
0 0 1.28712 0 132 0.78196 1.28712 64.6% - 0s
0 0 1.28548 0 133 0.78196 1.28548 64.4% - 0s
0 0 1.28412 0 136 0.78196 1.28412 64.2% - 0s
0 0 1.28301 0 139 0.78196 1.28301 64.1% - 0s
0 0 1.28161 0 141 0.78196 1.28161 63.9% - 0s
0 0 1.28122 0 140 0.78196 1.28122 63.8% - 0s
0 0 1.28069 0 137 0.78196 1.28069 63.8% - 0s
0 0 1.28067 0 137 0.78196 1.28067 63.8% - 0s
0 0 1.28045 0 139 0.78196 1.28045 63.7% - 0s
0 0 1.28017 0 139 0.78196 1.28017 63.7% - 0s
0 0 1.28017 0 122 0.78196 1.28017 63.7% - 0s
0 2 1.28017 0 120 0.78196 1.28017 63.7% - 0s
780 499 0.93105 12 115 0.78196 1.15312 47.5% 17.7 5s
1895 725 0.79175 60 75 0.78196 1.08214 38.4% 22.3 10s
4017 843 infeasible 48 0.78196 0.93855 20.0% 21.7 15s
7344 1234 0.88924 58 86 0.78196 0.88924 13.7% 16.6 20s
10531 1064 0.80583 68 64 0.78196 0.83609 6.92% 15.8 25s
Cutting planes:
Gomory: 28
Cover: 4
Implied bound: 33
Projected implied bound: 38
MIR: 40
Flow cover: 110
Flow path: 1
Inf proof: 133
Explored 12740 nodes (199790 simplex iterations) in 29.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.781961
Optimal solution found (tolerance 1.00e-02)
Best objective 7.819609656085e-01, best bound 7.875650999883e-01, gap 0.7167%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_5v7x12r.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6eoa9g1o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.778164
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.396354e+00, 984 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39635 0 83 0.77816 1.39635 79.4% - 0s
0 0 1.38325 0 107 0.77816 1.38325 77.8% - 0s
0 0 1.38261 0 103 0.77816 1.38261 77.7% - 0s
0 0 1.31818 0 134 0.77816 1.31818 69.4% - 0s
0 0 1.31709 0 133 0.77816 1.31709 69.3% - 0s
0 0 1.30192 0 130 0.77816 1.30192 67.3% - 0s
0 0 1.30069 0 132 0.77816 1.30069 67.1% - 0s
0 0 1.29645 0 136 0.77816 1.29645 66.6% - 0s
0 0 1.29591 0 141 0.77816 1.29591 66.5% - 0s
0 0 1.29168 0 139 0.77816 1.29168 66.0% - 0s
0 0 1.29162 0 140 0.77816 1.29162 66.0% - 0s
0 0 1.29147 0 137 0.77816 1.29147 66.0% - 0s
0 0 1.29147 0 136 0.77816 1.29147 66.0% - 0s
0 0 1.28831 0 141 0.77816 1.28831 65.6% - 0s
0 0 1.28791 0 145 0.77816 1.28791 65.5% - 0s
0 0 1.28543 0 151 0.77816 1.28543 65.2% - 0s
0 0 1.28298 0 146 0.77816 1.28298 64.9% - 0s
0 0 1.28168 0 146 0.77816 1.28168 64.7% - 0s
0 0 1.28161 0 142 0.77816 1.28161 64.7% - 0s
0 0 1.27892 0 150 0.77816 1.27892 64.4% - 0s
0 0 1.27871 0 149 0.77816 1.27871 64.3% - 0s
0 0 1.27737 0 151 0.77816 1.27737 64.2% - 0s
0 0 1.27734 0 150 0.77816 1.27734 64.1% - 0s
0 0 1.27732 0 151 0.77816 1.27732 64.1% - 0s
0 0 1.27730 0 150 0.77816 1.27730 64.1% - 0s
0 0 1.27730 0 149 0.77816 1.27730 64.1% - 0s
0 0 1.27730 0 149 0.77816 1.27730 64.1% - 0s
0 2 1.27730 0 124 0.77816 1.27730 64.1% - 0s
765 552 0.96353 36 124 0.77816 1.19797 53.9% 21.0 5s
1426 731 0.96235 31 114 0.77816 1.13670 46.1% 25.5 10s
2604 835 0.88596 22 113 0.77816 1.06685 37.1% 26.4 15s
5493 1643 0.89551 65 108 0.77816 0.97950 25.9% 20.8 20s
10332 2829 infeasible 88 0.77816 0.92830 19.3% 15.6 25s
13565 3114 0.84953 79 87 0.77816 0.90142 15.8% 14.7 30s
16450 2943 infeasible 53 0.77816 0.87341 12.2% 14.4 35s
*17844 2739 121 0.7783791 0.85976 10.5% 14.5 38s
18494 2517 0.85079 95 54 0.77838 0.85233 9.50% 14.6 40s
20133 2006 0.82221 98 63 0.77838 0.83689 7.52% 14.8 45s
22463 1037 infeasible 111 0.77838 0.81189 4.30% 15.0 50s
Cutting planes:
Learned: 2
Gomory: 40
Cover: 7
Implied bound: 54
Projected implied bound: 51
MIR: 30
Flow cover: 133
Flow path: 2
Inf proof: 296
Explored 24023 nodes (362955 simplex iterations) in 53.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.778379 0.778164
Optimal solution found (tolerance 1.00e-02)
Best objective 7.783791265525e-01, best bound 7.828818240742e-01, gap 0.5785%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0cbt95fk.pyomo.lp
Reading time = 0.02 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5vjm5_a1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.767131
Presolve removed 624 rows and 389 columns
Presolve time: 0.05s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.376078e+00, 1046 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37608 0 88 0.76713 1.37608 79.4% - 0s
0 0 1.36359 0 111 0.76713 1.36359 77.8% - 0s
0 0 1.36325 0 111 0.76713 1.36325 77.7% - 0s
0 0 1.30219 0 136 0.76713 1.30219 69.7% - 0s
0 0 1.29852 0 142 0.76713 1.29852 69.3% - 0s
0 0 1.28359 0 145 0.76713 1.28359 67.3% - 0s
0 0 1.28288 0 155 0.76713 1.28288 67.2% - 0s
0 0 1.27842 0 146 0.76713 1.27842 66.7% - 0s
0 0 1.27798 0 145 0.76713 1.27798 66.6% - 0s
0 0 1.27585 0 154 0.76713 1.27585 66.3% - 0s
0 0 1.27557 0 162 0.76713 1.27557 66.3% - 0s
0 0 1.27164 0 166 0.76713 1.27164 65.8% - 0s
0 0 1.27034 0 164 0.76713 1.27034 65.6% - 0s
0 0 1.26914 0 160 0.76713 1.26914 65.4% - 0s
0 0 1.26904 0 160 0.76713 1.26904 65.4% - 0s
0 0 1.26854 0 165 0.76713 1.26854 65.4% - 0s
0 0 1.26839 0 165 0.76713 1.26839 65.3% - 0s
0 0 1.26831 0 170 0.76713 1.26831 65.3% - 0s
0 0 1.26816 0 173 0.76713 1.26816 65.3% - 0s
0 0 1.26787 0 171 0.76713 1.26787 65.3% - 0s
0 0 1.26787 0 132 0.76713 1.26787 65.3% - 0s
0 2 1.26787 0 132 0.76713 1.26787 65.3% - 0s
786 549 0.90149 54 128 0.76713 1.17033 52.6% 19.6 5s
1277 648 1.01454 36 114 0.76713 1.11364 45.2% 26.2 10s
3591 1201 0.91530 31 119 0.76713 0.98360 28.2% 21.5 15s
7219 2748 0.81760 73 90 0.76713 0.94662 23.4% 17.0 20s
10320 3617 0.91840 75 104 0.76713 0.91919 19.8% 15.3 25s
12821 3695 0.77846 88 47 0.76713 0.89457 16.6% 15.0 30s
15636 3328 infeasible 82 0.76713 0.86423 12.7% 14.9 35s
18341 2597 cutoff 91 0.76713 0.83849 9.30% 14.9 40s
20699 1770 infeasible 110 0.76713 0.81712 6.52% 15.1 45s
Cutting planes:
Learned: 1
Gomory: 34
Cover: 6
Implied bound: 35
Projected implied bound: 59
MIR: 36
Flow cover: 163
Flow path: 3
Inf proof: 211
Explored 23622 nodes (353123 simplex iterations) in 49.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.767131
Optimal solution found (tolerance 1.00e-02)
Best objective 7.671305489973e-01, best bound 7.720613641788e-01, gap 0.6428%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwmsyhkia.pyomo.lp
Reading time = 0.02 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy7i9idzn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.765489
Presolve removed 637 rows and 397 columns
Presolve time: 0.05s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.353567e+00, 1007 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35357 0 88 0.76549 1.35357 76.8% - 0s
0 0 1.34039 0 114 0.76549 1.34039 75.1% - 0s
0 0 1.34009 0 114 0.76549 1.34009 75.1% - 0s
0 0 1.27577 0 146 0.76549 1.27577 66.7% - 0s
0 0 1.27435 0 148 0.76549 1.27435 66.5% - 0s
0 0 1.26393 0 143 0.76549 1.26393 65.1% - 0s
0 0 1.26258 0 139 0.76549 1.26258 64.9% - 0s
0 0 1.25411 0 152 0.76549 1.25411 63.8% - 0s
0 0 1.25237 0 149 0.76549 1.25237 63.6% - 0s
0 0 1.24788 0 153 0.76549 1.24788 63.0% - 0s
0 0 1.24431 0 142 0.76549 1.24431 62.6% - 0s
0 0 1.24259 0 161 0.76549 1.24259 62.3% - 0s
0 0 1.24244 0 166 0.76549 1.24244 62.3% - 0s
0 0 1.24184 0 168 0.76549 1.24184 62.2% - 0s
0 0 1.24115 0 163 0.76549 1.24115 62.1% - 0s
0 0 1.24046 0 162 0.76549 1.24046 62.0% - 0s
0 0 1.23890 0 161 0.76549 1.23890 61.8% - 0s
0 0 1.23787 0 155 0.76549 1.23787 61.7% - 0s
0 0 1.23767 0 159 0.76549 1.23767 61.7% - 0s
0 0 1.23663 0 160 0.76549 1.23663 61.5% - 0s
0 0 1.23641 0 164 0.76549 1.23641 61.5% - 0s
0 0 1.23637 0 164 0.76549 1.23637 61.5% - 0s
0 0 1.23637 0 164 0.76549 1.23637 61.5% - 0s
0 2 1.23637 0 136 0.76549 1.23637 61.5% - 0s
794 440 1.01113 38 138 0.76549 1.15111 50.4% 20.8 5s
1521 560 cutoff 24 0.76549 1.07260 40.1% 26.1 10s
H 3270 1215 0.7654894 1.02697 34.2% 23.5 14s
3362 1242 0.97431 23 127 0.76549 1.02218 33.5% 23.5 15s
6030 2247 infeasible 41 0.76549 0.97543 27.4% 19.9 21s
8396 2369 0.79023 93 52 0.76549 0.92102 20.3% 17.9 25s
12791 3450 0.88340 69 81 0.76549 0.88412 15.5% 15.2 30s
15944 3734 0.81406 72 52 0.76549 0.86874 13.5% 14.7 35s
17842 3613 infeasible 97 0.76549 0.85656 11.9% 14.6 40s
20525 3624 0.77946 75 164 0.76549 0.84154 9.93% 14.5 56s
20535 3631 0.80152 55 150 0.76549 0.84154 9.93% 14.5 60s
20543 3636 0.80813 121 164 0.76549 0.84154 9.93% 14.5 65s
20550 3641 0.78834 40 155 0.76549 0.84154 9.93% 14.4 70s
20562 3649 0.83547 86 167 0.76549 0.84154 9.93% 14.4 75s
20571 3655 0.76695 126 160 0.76549 0.84154 9.93% 14.4 80s
20579 3660 0.79775 99 163 0.76549 0.84154 9.93% 14.4 85s
20586 3665 0.83806 75 177 0.76549 0.84154 9.93% 14.4 90s
20591 3668 0.82385 64 180 0.76549 0.84154 9.93% 14.4 95s
20595 3671 0.76949 109 188 0.76549 0.84154 9.93% 14.4 100s
H20598 3488 0.7654895 0.84154 9.93% 14.4 103s
20601 3490 0.80068 75 187 0.76549 0.84154 9.93% 14.4 105s
20605 3492 0.78124 79 186 0.76549 0.84154 9.93% 14.4 110s
20611 3496 0.80645 98 185 0.76549 0.84154 9.93% 14.4 116s
20615 3499 0.82922 76 187 0.76549 0.84154 9.93% 14.4 120s
20620 3502 0.80318 105 193 0.76549 0.84154 9.93% 14.4 125s
20624 3505 0.79364 83 190 0.76549 0.84154 9.93% 14.4 130s
20629 3508 0.80575 33 189 0.76549 0.84154 9.93% 14.4 135s
20635 3512 0.80152 55 194 0.76549 0.84154 9.93% 14.4 140s
20640 3516 0.83216 61 202 0.76549 0.84154 9.93% 14.4 145s
20645 3519 0.82230 78 199 0.76549 0.84154 9.93% 14.4 150s
20652 3524 0.81536 37 201 0.76549 0.84154 9.93% 14.4 155s
20658 3528 0.81551 92 208 0.76549 0.84154 9.93% 14.4 160s
20662 3530 0.83547 86 207 0.76549 0.84154 9.93% 14.4 165s
20668 3534 0.80255 66 210 0.76549 0.84154 9.93% 14.4 170s
20675 3539 0.83266 72 215 0.76549 0.84154 9.93% 14.4 175s
20681 3543 0.78836 56 218 0.76549 0.84154 9.93% 14.4 180s
20687 3547 0.82040 108 215 0.76549 0.84154 9.93% 14.4 185s
20692 3550 0.76664 116 219 0.76549 0.84154 9.93% 14.3 190s
20697 3554 0.78852 74 220 0.76549 0.84154 9.93% 14.3 195s
20703 3558 0.83117 57 217 0.76549 0.84154 9.93% 14.3 201s
20707 3560 0.83222 82 219 0.76549 0.84154 9.93% 14.3 206s
20711 3563 0.80645 98 212 0.76549 0.84154 9.93% 14.3 210s
20717 3567 0.82132 45 221 0.76549 0.84154 9.93% 14.3 215s
20723 3571 0.82932 73 225 0.76549 0.84154 9.93% 14.3 220s
20729 3575 0.80575 33 221 0.76549 0.84154 9.93% 14.3 225s
20736 3580 0.78418 71 218 0.76549 0.84154 9.93% 14.3 230s
20741 3583 0.80119 69 222 0.76549 0.84154 9.93% 14.3 235s
20744 3586 0.84154 23 205 0.76549 0.84154 9.93% 16.1 240s
20748 3589 0.84154 25 203 0.76549 0.84154 9.93% 16.1 246s
20795 3582 infeasible 34 0.76549 0.83952 9.67% 16.5 250s
21190 3605 0.79947 33 160 0.76549 0.82743 8.09% 17.4 255s
21479 3555 infeasible 38 0.76549 0.82003 7.13% 18.1 260s
22378 3545 0.77850 47 85 0.76549 0.80939 5.74% 19.1 265s
23411 3480 0.79185 42 111 0.76549 0.80142 4.69% 19.9 270s
24570 3262 0.76682 54 63 0.76549 0.79482 3.83% 20.8 275s
26090 2683 infeasible 53 0.76549 0.78725 2.84% 21.6 280s
27182 2197 0.76771 55 57 0.76549 0.78242 2.21% 21.7 285s
Cutting planes:
Learned: 2
Gomory: 124
Cover: 13
Implied bound: 28
Projected implied bound: 29
Clique: 15
MIR: 181
StrongCG: 5
Flow cover: 554
Flow path: 2
Inf proof: 70
Explored 28948 nodes (630496 simplex iterations) in 289.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.765489 0.765489 0.765489
Optimal solution found (tolerance 1.00e-02)
Best objective 7.654894535768e-01, best bound 7.726235947819e-01, gap 0.9320%
Run 9
Seed for training 829
Seed for simulation 23
direc: array([[ -0.2624806 , 1. , 1. ],
[ 0. , 1. , 0. ],
[-12.85936836, 9.02794158, 6.01862772]])
fopt: 0.6885110483626075
fun: -0.6878542534238065
message: 'Optimization terminated successfully.'
nfev: 403
nit: 6
status: 0
success: True
x: array([ 79.34624143, 199.00272896, 133.37909001])
xopt: array([ 80., 199., 133.])
zopt: array([ 80., 279., 412.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps_aj6_vo.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp49nqvn30.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.688511
Presolve removed 650 rows and 405 columns
Presolve time: 0.03s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.384735e+00, 1167 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38474 0 100 0.68851 1.38474 101% - 0s
0 0 1.35775 0 165 0.68851 1.35775 97.2% - 0s
0 0 1.35719 0 164 0.68851 1.35719 97.1% - 0s
0 0 1.33958 0 164 0.68851 1.33958 94.6% - 0s
0 0 1.33653 0 165 0.68851 1.33653 94.1% - 0s
0 0 1.33434 0 172 0.68851 1.33434 93.8% - 0s
0 0 1.33427 0 172 0.68851 1.33427 93.8% - 0s
0 0 1.33273 0 178 0.68851 1.33273 93.6% - 0s
0 0 1.33252 0 173 0.68851 1.33252 93.5% - 0s
0 0 1.33198 0 170 0.68851 1.33198 93.5% - 0s
0 0 1.33198 0 169 0.68851 1.33198 93.5% - 0s
0 0 1.33179 0 136 0.68851 1.33179 93.4% - 0s
0 0 1.33179 0 136 0.68851 1.33179 93.4% - 0s
0 0 1.33179 0 139 0.68851 1.33179 93.4% - 0s
0 0 1.33179 0 141 0.68851 1.33179 93.4% - 0s
0 0 1.33179 0 141 0.68851 1.33179 93.4% - 0s
0 0 1.33179 0 136 0.68851 1.33179 93.4% - 0s
0 2 1.33179 0 136 0.68851 1.33179 93.4% - 0s
1667 476 infeasible 35 0.68851 1.15573 67.9% 15.3 5s
H 4230 1358 0.6900457 1.02296 48.2% 13.1 8s
5025 1597 0.87214 66 107 0.69005 1.00441 45.6% 12.6 10s
H 6006 1920 0.6907800 0.98082 42.0% 12.3 11s
H 6007 1907 0.7125735 0.98082 37.6% 12.3 11s
* 6753 2107 167 0.7133381 0.97289 36.4% 11.9 12s
9161 3046 infeasible 94 0.71334 0.95686 34.1% 10.9 15s
*10554 3320 151 0.7247243 0.94854 30.9% 10.5 16s
*10784 3306 150 0.7296863 0.94315 29.3% 10.5 16s
*10889 3308 149 0.7363358 0.94315 28.1% 10.4 16s
*11208 3327 153 0.7447929 0.94046 26.3% 10.4 17s
*13042 3845 143 0.7468814 0.92871 24.3% 10.1 19s
13487 3890 0.81690 85 76 0.74688 0.92445 23.8% 10.0 20s
*14532 3940 134 0.7504666 0.91728 22.2% 10.0 21s
H14793 3983 0.7524410 0.91706 21.9% 9.9 21s
16811 4000 0.86184 47 78 0.75244 0.90030 19.7% 10.0 25s
H17763 4079 0.7527873 0.89506 18.9% 10.0 27s
H17807 4062 0.7537467 0.89506 18.7% 10.0 27s
H17847 3988 0.7574238 0.89504 18.2% 10.0 27s
19031 3962 0.86015 51 92 0.75742 0.88616 17.0% 10.2 30s
21936 3883 0.83796 31 114 0.75742 0.86674 14.4% 10.2 35s
24990 3635 0.83116 53 77 0.75742 0.84677 11.8% 10.3 40s
*27422 3121 127 0.7577076 0.82879 9.38% 10.3 44s
27667 2999 infeasible 86 0.75771 0.82472 8.84% 10.3 45s
30564 2308 infeasible 62 0.75771 0.79924 5.48% 10.2 50s
33739 1065 cutoff 54 0.75771 0.77899 2.81% 10.1 55s
*34366 734 122 0.7579154 0.77376 2.09% 10.1 56s
*34368 727 123 0.7580875 0.77376 2.07% 10.1 56s
*34945 410 117 0.7585056 0.76789 1.24% 10.1 56s
*35239 161 118 0.7590381 0.76381 0.63% 10.0 57s
Cutting planes:
Gomory: 7
Cover: 3
Implied bound: 15
MIR: 16
Flow cover: 19
Flow path: 2
Inf proof: 6
Explored 35528 nodes (357800 simplex iterations) in 57.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.759038 0.758506 0.758088 ... 0.750467
Optimal solution found (tolerance 0.00e+00)
Best objective 7.590381090359e-01, best bound 7.590381090359e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkcf6mo_s.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 3188 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3s_m5t5l.gurobi.mst
Optimize a model with 946 rows, 811 columns and 3188 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 572 rows and 427 columns
Presolve time: 0.00s
Presolved: 374 rows, 384 columns, 1599 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.6266774e+02 7.028617e+03 0.000000e+00 0s
283 1.4869684e+01 0.000000e+00 0.000000e+00 0s
Solved in 283 iterations and 0.01 seconds
Optimal objective 1.486968410e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.23120502e-07, -4.80455133e-07, -1.06784654e-08]])
fopt: 2.6752589464960748
fun: -2.683097570324224
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 24.05958721, -87.99580146, -1. ])
xopt: array([24., 0., 0.])
zopt: array([24., 24., 24.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.25542688e-04, 2.29390882e-05, 2.16607367e-05]])
fopt: 1.8969903486582023
fun: -1.9131509117548713
message: 'Optimization terminated successfully.'
nfev: 340
nit: 4
status: 0
success: True
x: array([40.29113022, -0.60841339, -0.9999959 ])
xopt: array([40., 0., 0.])
zopt: array([40., 40., 40.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.19200526e-08, 4.07794097e-10, 3.57120803e-10]])
fopt: 1.5322647813315868
fun: -1.5453430467618952
message: 'Optimization terminated successfully.'
nfev: 261
nit: 3
status: 0
success: True
x: array([55.00707602, -0.99261065, -0.92137218])
xopt: array([55., 0., 0.])
zopt: array([55., 55., 55.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.11095849, 0.00292906, 0.00292906]])
fopt: 1.6520086478743963
fun: -1.6522257935815663
message: 'Optimization terminated successfully.'
nfev: 265
nit: 3
status: 0
success: True
x: array([76.65210444, -0.99814455, -0.99726463])
xopt: array([77., 0., 0.])
zopt: array([77., 77., 77.])
*******************************************
Period: 5
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.41954065, -0.03358922, -0. ]])
fopt: 1.4030547709988905
fun: -1.4062482455425769
message: 'Optimization terminated successfully.'
nfev: 235
nit: 2
status: 0
success: True
x: array([100.24454152, 3.34832773, 1. ])
xopt: array([100., 3., 1.])
zopt: array([100., 103., 104.])
*******************************************
Period: 6
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.17384756e-09, 6.07007111e-13, 0.00000000e+00]])
fopt: 1.2281299687398894
fun: -1.2337045075502833
message: 'Optimization terminated successfully.'
nfev: 244
nit: 2
status: 0
success: True
x: array([127.01637909, 1.0351877 , 1. ])
xopt: array([127., 1., 1.])
zopt: array([127., 128., 129.])
*******************************************
Period: 7
direc: array([[0.0000000e+00, 0.0000000e+00, 1.0000000e+00],
[0.0000000e+00, 1.0000000e+00, 0.0000000e+00],
[9.5517399e-05, 5.1952006e-09, 0.0000000e+00]])
fopt: 1.1347008464663613
fun: -1.1369747764325335
message: 'Optimization terminated successfully.'
nfev: 274
nit: 2
status: 0
success: True
x: array([144.4984733, 1.0078049, 1. ])
xopt: array([144., 1., 1.])
zopt: array([144., 145., 146.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1474
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 2.91616572e-05, 1.73593757e-07, -6.93782228e-07],
[ 0.00000000e+00, 4.00000000e+00, -8.01270033e-04]])
fopt: 0.8866693457289653
fun: -0.8891182357038039
message: 'Optimization terminated successfully.'
nfev: 783
nit: 7
status: 0
success: True
x: array([168.98794817, 14.00000006, -2.99726889])
xopt: array([168., 15., 0.])
zopt: array([168., 183., 183.])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[-1.77447699, -0.01155619, -0. ],
[-0. , 0. , -0. ]])
fopt: 0.7787996096070745
fun: -0.7789813256930396
message: 'Optimization terminated successfully.'
nfev: 413
nit: 5
status: 0
success: True
x: array([165.84065992, 4.00463287, -0.71119107])
xopt: array([165., 5., 0.])
zopt: array([165., 170., 170.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 17.13797637, 31.09512244]])
fopt: 0.8817893161170013
fun: -0.8816063834123535
message: 'Optimization terminated successfully.'
nfev: 700
nit: 9
status: 0
success: True
x: array([168.89093223, 14.0021633 , 25.31691355])
xopt: array([168., 15., 25.])
zopt: array([168., 183., 208.])
*******************************************
Period: 12
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 5.50805761e-04, 3.28265518e-06, 1.35382141e-04],
[ 0.00000000e+00, 1.00000000e+00, -4.61896976e-05]])
fopt: 0.8191077193978389
fun: -0.8196390889442087
message: 'Optimization terminated successfully.'
nfev: 598
nit: 6
status: 0
success: True
x: array([168.793307 , 7.00000327, 40.00000021])
xopt: array([168., 8., 40.])
zopt: array([168., 176., 216.])
*******************************************
Period: 13
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 1.00613103, 1.06550985]])
fopt: 0.5328170371722487
fun: -0.5341868006653928
message: 'Optimization terminated successfully.'
nfev: 409
nit: 6
status: 0
success: True
x: array([230.1217651 , 26.06619935, 26.36973693])
xopt: array([230., 26., 26.])
zopt: array([230., 256., 282.])
*******************************************
Period: 14
direc: array([[6.04830896e-01, 2.65624524e-03, 5.32206008e-03],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 4.59963482e+01, 0.00000000e+00]])
fopt: 0.6936641353331185
fun: -0.6916410823105592
message: 'Optimization terminated successfully.'
nfev: 735
nit: 8
status: 0
success: True
x: array([116.64497448, 172.03677367, 3.04392089])
xopt: array([116., 173., 4.])
zopt: array([116., 289., 293.])
*******************************************
Period: 15
direc: array([[2.18688512e-01, 1.21335025e-03, 7.32811127e-03],
[3.53154230e-05, 5.15994228e-04, 4.94962311e-02],
[0.00000000e+00, 4.00000000e+00, 0.00000000e+00]])
fopt: 0.7228765103885678
fun: -0.7232144768111489
message: 'Optimization terminated successfully.'
nfev: 1093
nit: 9
status: 0
success: True
x: array([181.30377462, 23.00089587, 103.0495051 ])
xopt: array([181., 24., 103.])
zopt: array([181., 205., 308.])
*******************************************
Period: 16
direc: array([[-7.18325214e+01, 9.10691440e+01, 1.10072418e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.48522674e-04, 9.89177804e-01, 9.89900624e-01]])
fopt: 0.8923951887038271
fun: -0.8910114160878511
message: 'Optimization terminated successfully.'
nfev: 625
nit: 8
status: 0
success: True
x: array([ 92.09869938, 114.00227777, 125.0001334 ])
xopt: array([ 93., 114., 126.])
zopt: array([ 93., 207., 333.])
*******************************************
Period: 17
direc: array([[-1.24454639e-08, 9.06408262e+01, -2.97547315e-10],
[ 6.44677664e-06, -7.86141773e-02, 1.09202620e+00],
[-1.24130042e+01, 1.10104964e+01, -4.19891788e-01]])
fopt: 0.8206877498512869
fun: -0.818045995871788
message: 'Optimization terminated successfully.'
nfev: 1457
nit: 14
status: 0
success: True
x: array([ 91.56710908, 106.00297803, 131.58175293])
xopt: array([ 92., 107., 132.])
zopt: array([ 92., 199., 331.])
*******************************************
Period: 18
direc: array([[45.22397608, 0.24997824, 1.00173628],
[46.77527594, 1.04271582, 3.10549925],
[ 0. , 1.88854383, 0. ]])
fopt: 0.1584472384970896
fun: -0.15691328756209863
message: 'Optimization terminated successfully.'
nfev: 864
nit: 8
status: 0
success: True
x: array([269.65756666, 11.01712311, 11.01487128])
xopt: array([269., 12., 12.])
zopt: array([269., 281., 293.])
*******************************************
Period: 19
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -4.92132190e-07, -4.43986313e-02]])
fopt: 0.3640823486397823
fun: -0.3656815227629521
message: 'Optimization terminated successfully.'
nfev: 393
nit: 4
status: 0
success: True
x: array([281.05011018, 2.00039565, 110.13960232])
xopt: array([281., 2., 110.])
zopt: array([281., 283., 393.])
*******************************************
Period: 20
direc: array([[ 8.21440185e-02, 8.96601217e+00, 6.07724666e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.46086906e-03, -2.07942290e-04, -7.17274573e-05]])
fopt: 0.20326937904198858
fun: -0.20274775182823587
message: 'Optimization terminated successfully.'
nfev: 764
nit: 9
status: 0
success: True
x: array([279.28721197, 67.00857887, 47.00343777])
xopt: array([279., 67., 48.])
zopt: array([279., 346., 394.])
*******************************************
Period: 21
direc: array([[ 1.82001987e+02, 1.00000000e+00, 4.05782416e+00],
[-1.80488670e+02, 1.62473000e+02, 1.01446687e+02],
[ 0.00000000e+00, -1.83505567e-02, 0.00000000e+00]])
fopt: 0.6956294085912125
fun: -0.6973602049227058
message: 'Optimization terminated successfully.'
nfev: 861
nit: 10
status: 0
success: True
x: array([ 93.00285375, 175.01707218, 160.16956994])
xopt: array([ 93., 175., 160.])
zopt: array([ 93., 268., 428.])
*******************************************
Period: 22
direc: array([[ 1., 0., 0.],
[ 0., 0., 1.],
[-0., 0., -0.]])
fopt: 0.6690386422689326
fun: -0.6690386419206235
message: 'Optimization terminated successfully.'
nfev: 275
nit: 4
status: 0
success: True
x: array([180.00000287, 3. , 232.00000003])
xopt: array([180., 3., 232.])
zopt: array([180., 183., 415.])
*******************************************
Period: 23
direc: array([[1.56995205e-01, 5.34230811e-04, 1.15082129e-03],
[1.68250246e-01, 1.07226288e+00, 9.99101673e-01],
[5.32632459e+00, 7.17897460e+01, 4.51721599e+01]])
fopt: 0.16613426528598854
fun: -0.1631866640990383
message: 'Optimization terminated successfully.'
nfev: 642
nit: 8
status: 0
success: True
x: array([299.65434865, 78.09774487, 51.43134034])
xopt: array([299., 78., 51.])
zopt: array([299., 377., 428.])
*******************************************
Period: 24
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.33271441e+00, 0.00000000e+00, 2.40236716e+00],
[-0.00000000e+00, -5.01422332e-03, 3.56281996e-13]])
fopt: 0.6578988195036405
fun: -0.6563094474443273
message: 'Optimization terminated successfully.'
nfev: 700
nit: 8
status: 0
success: True
x: array([171.53325793, 5.00038681, 231.00045809])
xopt: array([172., 6., 231.])
zopt: array([172., 178., 409.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-31.88066676, 25.46876679, 38.2032313 ]])
fopt: 0.13684107883973218
fun: -0.1361989845409696
message: 'Optimization terminated successfully.'
nfev: 885
nit: 10
status: 0
success: True
x: array([352.36359471, 29.00142954, 46.00414326])
xopt: array([352., 29., 47.])
zopt: array([352., 381., 428.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-3.45171453, 2.02955969, 2.02955969]])
fopt: 0.6679024470953211
fun: -0.6681305466046981
message: 'Optimization terminated successfully.'
nfev: 483
nit: 7
status: 0
success: True
x: array([ 90.44394454, 175.00248422, 163.0265207 ])
xopt: array([ 90., 175., 163.])
zopt: array([ 90., 265., 428.])
*******************************************
Period: 27
direc: array([[-8.92311768e-02, 3.42471104e-03, 2.27577545e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.99309490e+01, 4.39697303e+00, 9.97237081e-01]])
fopt: 0.21867341583937172
fun: -0.2157748946884221
message: 'Optimization terminated successfully.'
nfev: 472
nit: 6
status: 0
success: True
x: array([313.9242225 , 9.0026433 , 70.65518729])
xopt: array([313., 9., 71.])
zopt: array([313., 322., 393.])
*******************************************
Period: 28
direc: array([[ 4.16407851e-01, 0.00000000e+00, 1.00000000e+00],
[-1.91852680e+02, 0.00000000e+00, 2.41406314e+02],
[-1.15633415e-02, 9.81147088e-01, 1.45500171e-02]])
fopt: 0.6367239285733327
fun: -0.6353667952570892
message: 'Optimization terminated successfully.'
nfev: 743
nit: 8
status: 0
success: True
x: array([189.26180296, 6.00752194, 231.00000008])
xopt: array([190., 7., 231.])
zopt: array([190., 197., 428.])
*******************************************
Period: 29
direc: array([[-215.057013 , 0. , 192.27090602],
[ 0. , 1. , 0. ],
[ -9.56783498, 20.03134898, 40.05818801]])
fopt: 0.6337057157967063
fun: -0.6324879674987369
message: 'Optimization terminated successfully.'
nfev: 695
nit: 8
status: 0
success: True
x: array([173.62504666, 24. , 230.0000005 ])
xopt: array([173., 25., 230.])
zopt: array([173., 198., 428.])
*******************************************
Period: 30
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.25228194e+02, 0.00000000e+00, 1.61066084e+02],
[ 2.51775604e-02, 5.90024301e+01, 3.44035463e+01]])
fopt: 0.6701671289230943
fun: -0.6691013492418766
message: 'Optimization terminated successfully.'
nfev: 816
nit: 10
status: 0
success: True
x: array([124. , 76.00321325, 228.00000082])
xopt: array([123., 77., 228.])
zopt: array([123., 200., 428.])
*******************************************
Period: 31
direc: array([[ 0.37092961, 1. , 1. ],
[ 0. , 1. , 0. ],
[-292.73014352, 238.91075964, 159.27383976]])
fopt: 0.583709902242941
fun: -0.5836359429986978
message: 'Optimization terminated successfully.'
nfev: 520
nit: 7
status: 0
success: True
x: array([ 81.97608858, 213.00008021, 133. ])
xopt: array([ 82., 213., 133.])
zopt: array([ 82., 295., 428.])
*******************************************
Period: 32
direc: array([[-4.04007452, 2.01829391, 2.01829391],
[ 0. , 1. , 0. ],
[ 0.25754115, 11.11560981, 14.29537208]])
fopt: 0.6232670130148494
fun: -0.6218551244772632
message: 'Optimization terminated successfully.'
nfev: 444
nit: 7
status: 0
success: True
x: array([ 87.42675924, 168. , 174.20902749])
xopt: array([ 87., 168., 175.])
zopt: array([ 87., 255., 430.])
*******************************************
Period: 33
direc: array([[-3.37455784e-02, 1.00373198e+00, 3.37455801e-02],
[-2.91692076e+02, 1.74606670e+02, 1.16404447e+02],
[-5.88883839e-02, 1.95756667e+00, 5.88886868e-02]])
fopt: 0.5232199859754647
fun: -0.5217961823752995
message: 'Optimization terminated successfully.'
nfev: 646
nit: 8
status: 0
success: True
x: array([ 89.49630565, 190.00228917, 124.2078491 ])
xopt: array([ 90., 191., 125.])
zopt: array([ 90., 281., 406.])
*******************************************
Period: 34
direc: array([[-16.4310501 , 7.10470208, 7.10470208],
[ 0. , 1. , 0. ],
[ 0.49432115, 28.29384082, 43.34310214]])
fopt: 0.6172634377085855
fun: -0.6161935023615532
message: 'Optimization terminated successfully.'
nfev: 458
nit: 7
status: 0
success: True
x: array([ 86.63056166, 165. , 182.06351377])
xopt: array([ 86., 165., 182.])
zopt: array([ 86., 251., 433.])
*******************************************
Period: 35
direc: array([[ 5.41705017e-02, 1.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.95349264e+02, 2.25338826e+02, 1.50225884e+02]])
fopt: 0.572065240578801
fun: -0.5718834904682164
message: 'Optimization terminated successfully.'
nfev: 396
nit: 5
status: 0
success: True
x: array([ 88.46460686, 208. , 132.06258081])
xopt: array([ 89., 208., 133.])
zopt: array([ 89., 297., 430.])
*******************************************
Period: 36
direc: array([[ 2.61804163e-05, -3.81438805e+01, 4.72540151e+01],
[-2.93515114e+02, 1.61966461e+02, 1.61966461e+02],
[ 1.20790694e-04, -2.46956737e-03, -5.87514186e-03]])
fopt: 0.6554639844068112
fun: -0.6543351790407416
message: 'Optimization terminated successfully.'
nfev: 702
nit: 10
status: 0
success: True
x: array([ 89.9275383 , 117.00000005, 227.66529954])
xopt: array([ 90., 117., 227.])
zopt: array([ 90., 207., 434.])
*******************************************
Period: 37
direc: array([[-4.39839626e+01, 2.12863511e+01, 2.12863511e+01],
[-2.74776847e-07, -3.06678768e-05, -6.32865084e-05],
[ 0.00000000e+00, 3.30079286e+01, 0.00000000e+00]])
fopt: 0.5848884409470759
fun: -0.5856725616476044
message: 'Optimization terminated successfully.'
nfev: 1238
nit: 13
status: 0
success: True
x: array([ 90.73879099, 188.00038294, 150.01850204])
xopt: array([ 90., 188., 150.])
zopt: array([ 90., 278., 428.])
*******************************************
Period: 38
direc: array([[ 0. , 0. , 1. ],
[-11.87247834, 4.02017353, 4.02017353],
[ 0.96300546, 82.19230808, 37.46600332]])
fopt: 0.5840419727711014
fun: -0.5822201989652344
message: 'Optimization terminated successfully.'
nfev: 530
nit: 8
status: 0
success: True
x: array([ 91.99993198, 191.00018986, 145. ])
xopt: array([ 91., 191., 146.])
zopt: array([ 91., 282., 428.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-298.61756065, 201.70257061, 134.46838041]])
fopt: 0.5773455917055786
fun: -0.5766345675082679
message: 'Optimization terminated successfully.'
nfev: 353
nit: 5
status: 0
success: True
x: array([ 86.00429381, 203.00006391, 139.46643489])
xopt: array([ 86., 203., 139.])
zopt: array([ 86., 289., 428.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-3.75488792, 3.96692712, 1.99653345]])
fopt: 0.5696204401661721
fun: -0.5696203903103092
message: 'Optimization terminated successfully.'
nfev: 503
nit: 9
status: 0
success: True
x: array([ 89.99998127, 209.00000001, 129.00001208])
xopt: array([ 90., 209., 129.])
zopt: array([ 90., 299., 428.])
*******************************************
Period: 41
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-6.00367165, 28.11183129, 16.02111634]])
fopt: 0.5592802074902733
fun: -0.5591854772826524
message: 'Optimization terminated successfully.'
nfev: 428
nit: 7
status: 0
success: True
x: array([ 89.99994124, 206.00000001, 132.06397709])
xopt: array([ 90., 206., 132.])
zopt: array([ 90., 296., 428.])
*******************************************
Period: 42
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-17.54707374, 33.24578512, 19.02221178]])
fopt: 0.5592022823566853
fun: -0.559291215612639
message: 'Optimization terminated successfully.'
nfev: 468
nit: 7
status: 0
success: True
x: array([ 83.00921564, 209.00003035, 136.06691422])
xopt: array([ 83., 209., 136.])
zopt: array([ 83., 292., 428.])
*******************************************
Period: 43
direc: array([[-3.14008201e-06, 1.99999998e+00, -8.24414315e-09],
[ 7.16802047e+00, 9.99924336e+00, 3.82262225e+00],
[-2.00360738e+00, 2.00001935e+00, -1.31786601e-06]])
fopt: 0.5355381739096066
fun: -0.5353601484578503
message: 'Optimization terminated successfully.'
nfev: 1121
nit: 15
status: 0
success: True
x: array([ 88.97741773, 224.01244199, 115.12956913])
xopt: array([ 89., 224., 115.])
zopt: array([ 89., 313., 428.])
*******************************************
Period: 44
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 9.39011349, 0. , -82.68958442]])
fopt: 0.5499887757770278
fun: -0.5492474794365471
message: 'Optimization terminated successfully.'
nfev: 701
nit: 8
status: 0
success: True
x: array([199.79726565, 2.02011938, 226.51923312])
xopt: array([199., 2., 227.])
zopt: array([199., 201., 428.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpve1wpu19.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3anr9hvv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [6e-02, 6e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.76121
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.67526 1.76121
Optimal solution found (tolerance 1.00e-02)
Best objective 2.675258946496e+00, best bound 2.675258946496e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm60tp1kg.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgdq3os7k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911785
Presolve removed 93 rows and 71 columns
Presolve time: 0.00s
Presolved: 6 rows, 5 columns, 17 nonzeros
Variable types: 2 continuous, 3 integer (2 binary)
Root relaxation: objective 1.896990e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.8969903 1.89699 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.89699 0.911785
Optimal solution found (tolerance 1.00e-02)
Best objective 1.896990348658e+00, best bound 1.896990348658e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpydjz5led.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4smmjqbm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11077
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 1.660818e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66082 0 3 1.11077 1.66082 49.5% - 0s
H 0 0 1.5322648 1.66082 8.39% - 0s
0 0 cutoff 0 1.53226 1.53226 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.53226 1.11077
Optimal solution found (tolerance 1.00e-02)
Best objective 1.532264781332e+00, best bound 1.532264781332e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi88rfv_b.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpita46gw0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.978971
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.877876e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87788 0 8 0.97897 1.87788 91.8% - 0s
H 0 0 1.6520086 1.87788 13.7% - 0s
0 0 1.69251 0 1 1.65201 1.69251 2.45% - 0s
0 0 cutoff 0 1.65201 1.65201 0.00% - 0s
Cutting planes:
Gomory: 3
Flow path: 1
Explored 1 nodes (44 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.65201 0.978971
Optimal solution found (tolerance 1.00e-02)
Best objective 1.652008647874e+00, best bound 1.652008647874e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc8dkgfr4.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmgbhrbh6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23902
Presolve removed 162 rows and 113 columns
Presolve time: 0.00s
Presolved: 75 rows, 62 columns, 260 nonzeros
Variable types: 33 continuous, 29 integer (26 binary)
Root relaxation: objective 1.775826e+00, 41 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77583 0 9 1.23902 1.77583 43.3% - 0s
H 0 0 1.5296095 1.77583 16.1% - 0s
0 0 1.61882 0 7 1.52961 1.61882 5.83% - 0s
0 0 1.56201 0 1 1.52961 1.56201 2.12% - 0s
0 0 1.56201 0 1 1.52961 1.56201 2.12% - 0s
0 0 1.56201 0 1 1.52961 1.56201 2.12% - 0s
0 0 cutoff 0 1.52961 1.52961 0.00% - 0s
Cutting planes:
Flow cover: 1
Explored 1 nodes (76 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52961 1.23902
Optimal solution found (tolerance 1.00e-02)
Best objective 1.529609521528e+00, best bound 1.529609521528e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9frqlfqb.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyk5ocylc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17576
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 1.914139e+00, 90 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91414 0 7 1.17576 1.91414 62.8% - 0s
H 0 0 1.3884277 1.91414 37.9% - 0s
0 0 1.55101 0 6 1.38843 1.55101 11.7% - 0s
0 0 1.52115 0 6 1.38843 1.52115 9.56% - 0s
H 0 0 1.3995581 1.52115 8.69% - 0s
0 0 1.48647 0 4 1.39956 1.48647 6.21% - 0s
H 0 0 1.4190362 1.48647 4.75% - 0s
0 0 1.48408 0 6 1.41904 1.48408 4.58% - 0s
0 0 1.48408 0 6 1.41904 1.48408 4.58% - 0s
0 0 1.43621 0 1 1.41904 1.43621 1.21% - 0s
0 0 cutoff 0 1.41904 1.41904 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (193 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.41904 1.39956 1.38843 1.17576
Optimal solution found (tolerance 1.00e-02)
Best objective 1.419036188215e+00, best bound 1.419036188215e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2lbo41if.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7i809ziv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08797
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.225525e+00, 138 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22552 0 12 1.08797 2.22552 105% - 0s
0 0 1.99440 0 23 1.08797 1.99440 83.3% - 0s
0 0 1.99437 0 23 1.08797 1.99437 83.3% - 0s
0 0 1.80564 0 10 1.08797 1.80564 66.0% - 0s
0 0 1.80491 0 11 1.08797 1.80491 65.9% - 0s
0 0 1.75079 0 9 1.08797 1.75079 60.9% - 0s
H 0 0 1.2431012 1.75079 40.8% - 0s
0 0 1.74296 0 10 1.24310 1.74296 40.2% - 0s
0 0 1.73333 0 10 1.24310 1.73333 39.4% - 0s
H 0 0 1.3301265 1.73333 30.3% - 0s
0 0 1.73246 0 10 1.33013 1.73246 30.2% - 0s
0 0 1.73246 0 10 1.33013 1.73246 30.2% - 0s
0 2 1.73246 0 10 1.33013 1.73246 30.2% - 0s
H 9 5 1.3617570 1.59350 17.0% 3.3 0s
Cutting planes:
Gomory: 6
Implied bound: 7
MIR: 2
Flow cover: 14
Explored 59 nodes (504 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.36176 1.33013 1.2431 1.08797
Optimal solution found (tolerance 1.00e-02)
Best objective 1.361756964323e+00, best bound 1.361756964323e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4_rmbfop.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq9985rch.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.142
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.095836e+00, 151 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09584 0 14 1.14200 2.09584 83.5% - 0s
0 0 1.81622 0 22 1.14200 1.81622 59.0% - 0s
0 0 1.81609 0 24 1.14200 1.81609 59.0% - 0s
0 0 1.69746 0 16 1.14200 1.69746 48.6% - 0s
0 0 1.69187 0 16 1.14200 1.69187 48.1% - 0s
0 0 1.67579 0 15 1.14200 1.67579 46.7% - 0s
0 0 1.66744 0 15 1.14200 1.66744 46.0% - 0s
0 0 1.66177 0 15 1.14200 1.66177 45.5% - 0s
0 0 1.63792 0 17 1.14200 1.63792 43.4% - 0s
0 0 1.63240 0 14 1.14200 1.63240 42.9% - 0s
0 0 1.63115 0 14 1.14200 1.63115 42.8% - 0s
0 0 1.63115 0 12 1.14200 1.63115 42.8% - 0s
H 0 0 1.2848351 1.63115 27.0% - 0s
0 2 1.63115 0 12 1.28484 1.63115 27.0% - 0s
* 56 4 10 1.2924453 1.35173 4.59% 4.1 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 7
Clique: 1
MIR: 3
Flow cover: 14
Flow path: 1
Explored 66 nodes (554 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.29245 1.28484 1.142
Optimal solution found (tolerance 1.00e-02)
Best objective 1.292445289190e+00, best bound 1.292445289190e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqrivuvg0.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdufp0o62.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11625
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 1.884155e+00, 181 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88415 0 16 1.11625 1.88415 68.8% - 0s
0 0 1.58769 0 21 1.11625 1.58769 42.2% - 0s
0 0 1.58766 0 24 1.11625 1.58766 42.2% - 0s
0 0 1.53231 0 15 1.11625 1.53231 37.3% - 0s
0 0 1.49704 0 14 1.11625 1.49704 34.1% - 0s
0 0 1.49704 0 14 1.11625 1.49704 34.1% - 0s
0 0 1.47207 0 13 1.11625 1.47207 31.9% - 0s
0 0 1.47093 0 12 1.11625 1.47093 31.8% - 0s
0 0 1.46974 0 12 1.11625 1.46974 31.7% - 0s
0 0 1.46974 0 12 1.11625 1.46974 31.7% - 0s
0 0 1.46973 0 13 1.11625 1.46973 31.7% - 0s
0 0 1.46973 0 13 1.11625 1.46973 31.7% - 0s
H 0 0 1.1420766 1.46973 28.7% - 0s
0 2 1.46973 0 13 1.14208 1.46973 28.7% - 0s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 8
MIR: 5
Flow cover: 13
Explored 88 nodes (667 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.14208 1.11625
Optimal solution found (tolerance 1.00e-02)
Best objective 1.142076592236e+00, best bound 1.142076592236e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6gzyivru.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph2wfezve.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01893
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 1.692306e+00, 213 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69231 0 17 1.01893 1.69231 66.1% - 0s
0 0 1.41536 0 22 1.01893 1.41536 38.9% - 0s
0 0 1.41533 0 25 1.01893 1.41533 38.9% - 0s
0 0 1.35822 0 19 1.01893 1.35822 33.3% - 0s
0 0 1.32648 0 18 1.01893 1.32648 30.2% - 0s
0 0 1.32648 0 18 1.01893 1.32648 30.2% - 0s
0 0 1.30433 0 15 1.01893 1.30433 28.0% - 0s
0 0 1.30333 0 16 1.01893 1.30333 27.9% - 0s
0 0 1.30231 0 15 1.01893 1.30231 27.8% - 0s
0 0 1.30231 0 15 1.01893 1.30231 27.8% - 0s
0 2 1.30231 0 15 1.01893 1.30231 27.8% - 0s
* 69 5 13 1.0189253 1.19359 17.1% 4.5 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 9
MIR: 4
Flow cover: 16
Explored 84 nodes (735 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.01893 1.01893
Optimal solution found (tolerance 1.00e-02)
Best objective 1.018925328265e+00, best bound 1.018925328265e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptpf5rfny.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqn6bg5et.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.811357
Presolve removed 208 rows and 133 columns
Presolve time: 0.00s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.339370e+00, 224 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33937 0 18 0.81136 2.33937 188% - 0s
0 0 1.93114 0 37 0.81136 1.93114 138% - 0s
0 0 1.88892 0 36 0.81136 1.88892 133% - 0s
0 0 1.86685 0 39 0.81136 1.86685 130% - 0s
0 0 1.86685 0 40 0.81136 1.86685 130% - 0s
0 0 1.86409 0 40 0.81136 1.86409 130% - 0s
0 0 1.83636 0 42 0.81136 1.83636 126% - 0s
0 0 1.83352 0 42 0.81136 1.83352 126% - 0s
0 0 1.83337 0 42 0.81136 1.83337 126% - 0s
0 0 1.79494 0 42 0.81136 1.79494 121% - 0s
0 0 1.78625 0 43 0.81136 1.78625 120% - 0s
0 0 1.78284 0 43 0.81136 1.78284 120% - 0s
0 0 1.77424 0 43 0.81136 1.77424 119% - 0s
0 0 1.77418 0 37 0.81136 1.77418 119% - 0s
0 0 1.77415 0 37 0.81136 1.77415 119% - 0s
0 0 1.77370 0 37 0.81136 1.77370 119% - 0s
0 0 1.77370 0 34 0.81136 1.77370 119% - 0s
0 2 1.77370 0 34 0.81136 1.77370 119% - 0s
* 135 53 21 1.0767780 1.66454 54.6% 4.9 0s
* 403 71 22 1.0875968 1.32191 21.5% 5.3 0s
* 428 58 18 1.0916244 1.29443 18.6% 5.3 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 7
MIR: 7
Flow cover: 22
Flow path: 1
Inf proof: 14
Explored 662 nodes (3790 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.09162 1.0876 1.07678 0.811357
Optimal solution found (tolerance 1.00e-02)
Best objective 1.091624385565e+00, best bound 1.091624385565e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbyvyoojf.pyomo.lp
Reading time = 0.01 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9gdfvk4v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.968558
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.228271e+00, 231 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22827 0 21 0.96856 2.22827 130% - 0s
0 0 1.83441 0 28 0.96856 1.83441 89.4% - 0s
0 0 1.80294 0 30 0.96856 1.80294 86.1% - 0s
0 0 1.79116 0 30 0.96856 1.79116 84.9% - 0s
0 0 1.78999 0 30 0.96856 1.78999 84.8% - 0s
0 0 1.78624 0 32 0.96856 1.78624 84.4% - 0s
0 0 1.78624 0 33 0.96856 1.78624 84.4% - 0s
0 0 1.77452 0 30 0.96856 1.77452 83.2% - 0s
0 0 1.77198 0 32 0.96856 1.77198 83.0% - 0s
0 0 1.77196 0 32 0.96856 1.77196 82.9% - 0s
0 0 1.74775 0 30 0.96856 1.74775 80.4% - 0s
0 0 1.74768 0 30 0.96856 1.74768 80.4% - 0s
0 0 1.72992 0 30 0.96856 1.72992 78.6% - 0s
0 0 1.72441 0 30 0.96856 1.72441 78.0% - 0s
0 0 1.70368 0 28 0.96856 1.70368 75.9% - 0s
0 0 1.70368 0 30 0.96856 1.70368 75.9% - 0s
0 0 1.69585 0 27 0.96856 1.69585 75.1% - 0s
0 0 1.69580 0 31 0.96856 1.69580 75.1% - 0s
0 0 1.68780 0 34 0.96856 1.68780 74.3% - 0s
0 0 1.68364 0 30 0.96856 1.68364 73.8% - 0s
0 0 1.68241 0 33 0.96856 1.68241 73.7% - 0s
0 0 1.68221 0 30 0.96856 1.68221 73.7% - 0s
0 0 1.68207 0 32 0.96856 1.68207 73.7% - 0s
0 0 1.68204 0 32 0.96856 1.68204 73.7% - 0s
0 0 1.68204 0 32 0.96856 1.68204 73.7% - 0s
0 2 1.68204 0 32 0.96856 1.68204 73.7% - 0s
* 81 43 27 0.9743259 1.59238 63.4% 6.9 0s
* 133 45 19 0.9827862 1.52395 55.1% 7.1 0s
* 136 44 19 1.0109483 1.52395 50.7% 7.0 0s
* 385 25 18 1.0235234 1.19569 16.8% 5.8 0s
* 389 25 17 1.0245575 1.18202 15.4% 5.8 0s
Cutting planes:
Gomory: 7
Implied bound: 9
Clique: 1
MIR: 10
Flow cover: 27
Flow path: 2
Inf proof: 6
Explored 454 nodes (3047 simplex iterations) in 0.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.02456 1.02352 1.01095 ... 0.968558
Optimal solution found (tolerance 1.00e-02)
Best objective 1.024557496954e+00, best bound 1.024557496954e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjjpz_hm5.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp4pk86th.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.898864
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.172131e+00, 318 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17213 0 22 0.89886 2.17213 142% - 0s
0 0 1.90750 0 21 0.89886 1.90750 112% - 0s
0 0 1.90750 0 21 0.89886 1.90750 112% - 0s
0 0 1.87648 0 27 0.89886 1.87648 109% - 0s
0 0 1.86154 0 26 0.89886 1.86154 107% - 0s
0 0 1.78325 0 34 0.89886 1.78325 98.4% - 0s
0 0 1.76378 0 37 0.89886 1.76378 96.2% - 0s
0 0 1.75250 0 35 0.89886 1.75250 95.0% - 0s
0 0 1.75134 0 38 0.89886 1.75134 94.8% - 0s
0 0 1.71426 0 33 0.89886 1.71426 90.7% - 0s
0 0 1.71418 0 37 0.89886 1.71418 90.7% - 0s
0 0 1.71367 0 37 0.89886 1.71367 90.6% - 0s
0 0 1.71367 0 37 0.89886 1.71367 90.6% - 0s
0 2 1.71367 0 29 0.89886 1.71367 90.6% - 0s
* 129 46 30 0.9638814 1.55235 61.1% 6.8 0s
* 250 76 25 0.9651489 1.44099 49.3% 6.2 0s
Cutting planes:
Gomory: 12
Implied bound: 15
MIR: 8
Flow cover: 26
Flow path: 2
Inf proof: 8
Explored 703 nodes (5286 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.965149 0.963881 0.898864
Optimal solution found (tolerance 1.00e-02)
Best objective 9.651489098875e-01, best bound 9.651489098875e-01, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6t94c87r.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphdv8d80j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.865204
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.055649e+00, 334 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05565 0 26 0.86520 2.05565 138% - 0s
0 0 1.79794 0 31 0.86520 1.79794 108% - 0s
0 0 1.79793 0 30 0.86520 1.79793 108% - 0s
0 0 1.69312 0 34 0.86520 1.69312 95.7% - 0s
0 0 1.69214 0 36 0.86520 1.69214 95.6% - 0s
0 0 1.64003 0 37 0.86520 1.64003 89.6% - 0s
0 0 1.62954 0 37 0.86520 1.62954 88.3% - 0s
0 0 1.62949 0 37 0.86520 1.62949 88.3% - 0s
0 0 1.62949 0 36 0.86520 1.62949 88.3% - 0s
0 0 1.62949 0 37 0.86520 1.62949 88.3% - 0s
0 0 1.60689 0 38 0.86520 1.60689 85.7% - 0s
0 0 1.60562 0 38 0.86520 1.60562 85.6% - 0s
0 0 1.60074 0 39 0.86520 1.60074 85.0% - 0s
0 0 1.59358 0 39 0.86520 1.59358 84.2% - 0s
0 0 1.58821 0 38 0.86520 1.58821 83.6% - 0s
0 0 1.58821 0 39 0.86520 1.58821 83.6% - 0s
0 0 1.57581 0 39 0.86520 1.57581 82.1% - 0s
0 0 1.56971 0 39 0.86520 1.56971 81.4% - 0s
0 0 1.56971 0 39 0.86520 1.56971 81.4% - 0s
0 0 1.56971 0 39 0.86520 1.56971 81.4% - 0s
0 2 1.56971 0 28 0.86520 1.56971 81.4% - 0s
* 557 142 27 0.8925434 1.32435 48.4% 5.6 0s
* 737 104 28 0.8947652 1.12396 25.6% 5.6 0s
* 752 115 30 0.9049070 1.12396 24.2% 5.6 0s
* 769 113 29 0.9084761 1.12396 23.7% 5.6 0s
* 802 106 28 0.9311092 1.10837 19.0% 5.6 0s
Cutting planes:
Gomory: 11
Cover: 4
Implied bound: 22
Clique: 2
MIR: 9
Flow cover: 31
Flow path: 1
Inf proof: 8
Explored 945 nodes (5595 simplex iterations) in 0.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.931109 0.908476 0.904907 ... 0.865204
Optimal solution found (tolerance 1.00e-02)
Best objective 9.311091985381e-01, best bound 9.311091985381e-01, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9cxc62m9.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg1og7tcr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.850996
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.949551e+00, 339 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94955 0 25 0.85100 1.94955 129% - 0s
0 0 1.69454 0 27 0.85100 1.69454 99.1% - 0s
0 0 1.69453 0 29 0.85100 1.69453 99.1% - 0s
0 0 1.59503 0 35 0.85100 1.59503 87.4% - 0s
0 0 1.59410 0 37 0.85100 1.59410 87.3% - 0s
0 0 1.54535 0 44 0.85100 1.54535 81.6% - 0s
0 0 1.53555 0 46 0.85100 1.53555 80.4% - 0s
0 0 1.53550 0 46 0.85100 1.53550 80.4% - 0s
0 0 1.53550 0 46 0.85100 1.53550 80.4% - 0s
0 0 1.53550 0 46 0.85100 1.53550 80.4% - 0s
0 0 1.51441 0 47 0.85100 1.51441 78.0% - 0s
0 0 1.51323 0 46 0.85100 1.51323 77.8% - 0s
0 0 1.50867 0 46 0.85100 1.50867 77.3% - 0s
0 0 1.50199 0 46 0.85100 1.50199 76.5% - 0s
0 0 1.49698 0 45 0.85100 1.49698 75.9% - 0s
0 0 1.49698 0 46 0.85100 1.49698 75.9% - 0s
0 0 1.48540 0 46 0.85100 1.48540 74.5% - 0s
0 0 1.48537 0 46 0.85100 1.48537 74.5% - 0s
0 0 1.48537 0 38 0.85100 1.48537 74.5% - 0s
0 2 1.48537 0 38 0.85100 1.48537 74.5% - 0s
* 314 118 34 0.8713322 1.28434 47.4% 6.9 0s
* 432 105 33 0.8775934 1.21965 39.0% 7.0 0s
* 435 105 31 0.8807561 1.21965 38.5% 6.9 0s
* 551 89 33 0.8927263 1.20036 34.5% 6.6 0s
* 552 87 33 0.8974060 1.20036 33.8% 6.6 0s
* 676 0 31 0.9085071 0.90851 0.00% 6.0 0s
Cutting planes:
Gomory: 12
Cover: 2
Implied bound: 24
Clique: 2
MIR: 14
Flow cover: 24
Flow path: 2
Inf proof: 12
Explored 680 nodes (4805 simplex iterations) in 0.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.908507 0.897406 0.892726 ... 0.850996
Optimal solution found (tolerance 1.00e-02)
Best objective 9.085071167926e-01, best bound 9.085071167926e-01, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpghyf6cf6.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw4kkyig4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.832667
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.886911e+00, 334 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88691 0 28 0.83267 1.88691 127% - 0s
0 0 1.55658 0 39 0.83267 1.55658 86.9% - 0s
0 0 1.55656 0 39 0.83267 1.55656 86.9% - 0s
0 0 1.54408 0 41 0.83267 1.54408 85.4% - 0s
0 0 1.52162 0 38 0.83267 1.52162 82.7% - 0s
0 0 1.50096 0 37 0.83267 1.50096 80.3% - 0s
0 0 1.48691 0 40 0.83267 1.48691 78.6% - 0s
0 0 1.48687 0 40 0.83267 1.48687 78.6% - 0s
0 0 1.47678 0 41 0.83267 1.47678 77.4% - 0s
0 0 1.47678 0 41 0.83267 1.47678 77.4% - 0s
0 0 1.46553 0 40 0.83267 1.46553 76.0% - 0s
0 0 1.46550 0 41 0.83267 1.46550 76.0% - 0s
0 0 1.46285 0 41 0.83267 1.46285 75.7% - 0s
0 0 1.46285 0 34 0.83267 1.46285 75.7% - 0s
0 2 1.46285 0 34 0.83267 1.46285 75.7% - 0s
* 547 86 31 0.8871817 1.17506 32.4% 7.1 0s
* 736 0 24 0.8975890 0.93330 3.98% 6.3 0s
Cutting planes:
Gomory: 12
Implied bound: 16
Clique: 1
MIR: 11
Flow cover: 22
Flow path: 1
Inf proof: 9
Explored 751 nodes (5312 simplex iterations) in 0.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.897589 0.887182 0.832667
Optimal solution found (tolerance 1.00e-02)
Best objective 8.975889725680e-01, best bound 8.975889725680e-01, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptyks_23y.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpve_p7zuj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.81633
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.813507e+00, 419 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81351 0 31 0.81633 1.81351 122% - 0s
0 0 1.56958 0 35 0.81633 1.56958 92.3% - 0s
0 0 1.48434 0 47 0.81633 1.48434 81.8% - 0s
0 0 1.47032 0 46 0.81633 1.47032 80.1% - 0s
0 0 1.47024 0 47 0.81633 1.47024 80.1% - 0s
0 0 1.44804 0 48 0.81633 1.44804 77.4% - 0s
0 0 1.44796 0 52 0.81633 1.44796 77.4% - 0s
0 0 1.44328 0 51 0.81633 1.44328 76.8% - 0s
0 0 1.44167 0 51 0.81633 1.44167 76.6% - 0s
0 0 1.44051 0 52 0.81633 1.44051 76.5% - 0s
0 0 1.43896 0 51 0.81633 1.43896 76.3% - 0s
0 0 1.43896 0 51 0.81633 1.43896 76.3% - 0s
0 0 1.43896 0 51 0.81633 1.43896 76.3% - 0s
0 0 1.43896 0 39 0.81633 1.43896 76.3% - 0s
0 2 1.43896 0 39 0.81633 1.43896 76.3% - 0s
* 654 207 40 0.8261359 1.03167 24.9% 6.6 0s
* 747 178 33 0.8397241 1.00891 20.1% 6.6 0s
* 776 173 36 0.8501253 1.00531 18.3% 6.6 0s
* 804 167 32 0.8599203 1.00531 16.9% 6.5 0s
Cutting planes:
Gomory: 13
Cover: 4
Implied bound: 22
MIR: 7
Flow cover: 29
Flow path: 1
Inf proof: 8
Explored 1055 nodes (6966 simplex iterations) in 0.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.85992 0.850125 0.839724 ... 0.81633
Optimal solution found (tolerance 1.00e-02)
Best objective 8.599203269598e-01, best bound 8.599203269598e-01, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph691hlo6.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy39ovpug.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.77616
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.923890e+00, 495 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92389 0 38 0.77616 1.92389 148% - 0s
0 0 1.67704 0 36 0.77616 1.67704 116% - 0s
0 0 1.67700 0 38 0.77616 1.67700 116% - 0s
0 0 1.66338 0 40 0.77616 1.66338 114% - 0s
0 0 1.66050 0 44 0.77616 1.66050 114% - 0s
0 0 1.57609 0 54 0.77616 1.57609 103% - 0s
0 0 1.57518 0 56 0.77616 1.57518 103% - 0s
0 0 1.57368 0 57 0.77616 1.57368 103% - 0s
0 0 1.55182 0 56 0.77616 1.55182 100% - 0s
0 0 1.54680 0 58 0.77616 1.54680 99.3% - 0s
0 0 1.54323 0 58 0.77616 1.54323 98.8% - 0s
0 0 1.54271 0 56 0.77616 1.54271 98.8% - 0s
0 0 1.54130 0 57 0.77616 1.54130 98.6% - 0s
0 0 1.54046 0 57 0.77616 1.54046 98.5% - 0s
0 0 1.54046 0 57 0.77616 1.54046 98.5% - 0s
0 0 1.54046 0 46 0.77616 1.54046 98.5% - 0s
0 2 1.54046 0 46 0.77616 1.54046 98.5% - 0s
* 954 410 34 0.7818192 1.23807 58.4% 7.5 0s
* 1002 400 46 0.8875091 1.23004 38.6% 7.5 0s
Cutting planes:
Gomory: 17
Cover: 9
Implied bound: 38
Clique: 1
MIR: 11
Flow cover: 39
Flow path: 4
Inf proof: 27
Explored 2323 nodes (16274 simplex iterations) in 1.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.887509 0.781819 0.77616
Optimal solution found (tolerance 1.00e-02)
Best objective 8.875090910501e-01, best bound 8.961383650053e-01, gap 0.9723%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6yukr3pt.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz8mubo1h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.804417
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.894531e+00, 532 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89453 0 43 0.80442 1.89453 136% - 0s
0 0 1.64023 0 44 0.80442 1.64023 104% - 0s
0 0 1.64022 0 46 0.80442 1.64022 104% - 0s
0 0 1.57174 0 58 0.80442 1.57174 95.4% - 0s
0 0 1.57098 0 64 0.80442 1.57098 95.3% - 0s
0 0 1.51489 0 58 0.80442 1.51489 88.3% - 0s
0 0 1.50383 0 65 0.80442 1.50383 86.9% - 0s
0 0 1.50285 0 62 0.80442 1.50285 86.8% - 0s
0 0 1.50282 0 62 0.80442 1.50282 86.8% - 0s
0 0 1.50233 0 62 0.80442 1.50233 86.8% - 0s
0 0 1.50232 0 62 0.80442 1.50232 86.8% - 0s
0 0 1.50189 0 62 0.80442 1.50189 86.7% - 0s
0 0 1.50189 0 53 0.80442 1.50189 86.7% - 0s
0 2 1.50189 0 53 0.80442 1.50189 86.7% - 0s
* 1682 338 51 0.8048357 1.05894 31.6% 10.7 3s
* 1821 229 47 0.8455488 1.04546 23.6% 10.6 3s
* 2158 111 41 0.8543128 0.96262 12.7% 10.3 3s
Cutting planes:
Gomory: 33
Cover: 2
Implied bound: 18
Projected implied bound: 19
Clique: 1
MIR: 7
Flow cover: 42
Flow path: 1
Inf proof: 21
Network: 1
Explored 2439 nodes (25730 simplex iterations) in 3.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.854313 0.845549 0.804836 0.804417
Optimal solution found (tolerance 1.00e-02)
Best objective 8.543127653199e-01, best bound 8.543127653199e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzu47mgs9.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxb8vwb72.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.789953
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.822494e+00, 534 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82249 0 46 0.78995 1.82249 131% - 0s
0 0 1.56274 0 56 0.78995 1.56274 97.8% - 0s
0 0 1.56274 0 57 0.78995 1.56274 97.8% - 0s
0 0 1.51039 0 64 0.78995 1.51039 91.2% - 0s
0 0 1.51030 0 66 0.78995 1.51030 91.2% - 0s
0 0 1.46958 0 63 0.78995 1.46958 86.0% - 0s
0 0 1.44466 0 64 0.78995 1.44466 82.9% - 0s
0 0 1.44068 0 67 0.78995 1.44068 82.4% - 0s
0 0 1.43944 0 67 0.78995 1.43944 82.2% - 0s
0 0 1.43935 0 67 0.78995 1.43935 82.2% - 0s
0 0 1.43206 0 68 0.78995 1.43206 81.3% - 0s
0 0 1.43202 0 72 0.78995 1.43202 81.3% - 0s
0 0 1.43202 0 73 0.78995 1.43202 81.3% - 0s
0 0 1.43202 0 58 0.78995 1.43202 81.3% - 0s
0 2 1.43202 0 57 0.78995 1.43202 81.3% - 0s
* 236 153 65 0.8231488 1.32038 60.4% 7.1 0s
* 1782 305 40 0.8247562 1.04525 26.7% 7.1 1s
* 2219 177 40 0.8330820 0.94068 12.9% 6.7 1s
Cutting planes:
Gomory: 16
Cover: 14
Implied bound: 36
MIR: 7
Flow cover: 46
Flow path: 2
Inf proof: 30
Explored 2673 nodes (18696 simplex iterations) in 1.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.833082 0.824756 0.823149 0.789953
Optimal solution found (tolerance 1.00e-02)
Best objective 8.330820134114e-01, best bound 8.375961004225e-01, gap 0.5419%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr2xmk_03.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf_mwd7z5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.763161
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.820807e+00, 541 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82081 0 50 0.76316 1.82081 139% - 0s
0 0 1.49388 0 62 0.76316 1.49388 95.7% - 0s
0 0 1.49380 0 66 0.76316 1.49380 95.7% - 0s
0 0 1.47581 0 73 0.76316 1.47581 93.4% - 0s
0 0 1.47574 0 71 0.76316 1.47574 93.4% - 0s
0 0 1.47003 0 72 0.76316 1.47003 92.6% - 0s
0 0 1.44627 0 72 0.76316 1.44627 89.5% - 0s
0 0 1.44614 0 71 0.76316 1.44614 89.5% - 0s
0 0 1.43056 0 70 0.76316 1.43056 87.5% - 0s
0 0 1.42911 0 71 0.76316 1.42911 87.3% - 0s
0 0 1.42867 0 71 0.76316 1.42867 87.2% - 0s
0 0 1.42781 0 72 0.76316 1.42781 87.1% - 0s
0 0 1.41823 0 71 0.76316 1.41823 85.8% - 0s
0 0 1.41822 0 72 0.76316 1.41822 85.8% - 0s
0 0 1.41822 0 65 0.76316 1.41822 85.8% - 0s
0 2 1.41822 0 64 0.76316 1.41822 85.8% - 0s
* 1945 441 63 0.7651422 1.06802 39.6% 10.1 3s
* 2127 350 66 0.8007619 1.05293 31.5% 9.8 3s
* 2210 308 64 0.8227808 1.05293 28.0% 9.7 3s
* 2565 160 59 0.8229930 0.93196 13.2% 9.1 3s
* 2566 146 59 0.8260830 0.93196 12.8% 9.1 3s
* 2714 98 55 0.8265441 0.89173 7.89% 8.9 3s
* 2877 14 57 0.8294637 0.86027 3.71% 8.8 3s
Cutting planes:
Learned: 1
Gomory: 31
Cover: 2
Implied bound: 24
Projected implied bound: 18
Clique: 2
MIR: 10
Flow cover: 37
Flow path: 2
Inf proof: 23
Explored 2902 nodes (26336 simplex iterations) in 3.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.829464 0.826544 0.826083 ... 0.763161
Optimal solution found (tolerance 1.00e-02)
Best objective 8.294636654202e-01, best bound 8.321954749816e-01, gap 0.3293%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkxod1dau.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpovhcvdqz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812106
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.735534e+00, 617 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73553 0 49 0.81211 1.73553 114% - 0s
0 0 1.44425 0 62 0.81211 1.44425 77.8% - 0s
0 0 1.44415 0 67 0.81211 1.44415 77.8% - 0s
0 0 1.41098 0 74 0.81211 1.41098 73.7% - 0s
0 0 1.41085 0 75 0.81211 1.41085 73.7% - 0s
0 0 1.39971 0 71 0.81211 1.39971 72.4% - 0s
0 0 1.39834 0 71 0.81211 1.39834 72.2% - 0s
0 0 1.39781 0 71 0.81211 1.39781 72.1% - 0s
0 0 1.39322 0 68 0.81211 1.39322 71.6% - 0s
0 0 1.39041 0 69 0.81211 1.39041 71.2% - 0s
0 0 1.38998 0 71 0.81211 1.38998 71.2% - 0s
0 0 1.38998 0 63 0.81211 1.38998 71.2% - 0s
0 2 1.38998 0 62 0.81211 1.38998 71.2% - 0s
Cutting planes:
Learned: 1
Gomory: 34
Implied bound: 13
Projected implied bound: 18
MIR: 7
Flow cover: 40
Flow path: 3
Inf proof: 16
Explored 2738 nodes (27720 simplex iterations) in 4.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.812106
Optimal solution found (tolerance 1.00e-02)
Best objective 8.121062383777e-01, best bound 8.121062383777e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoj35s032.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd5gp15om.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.798269
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.730065e+00, 638 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73007 0 53 0.79827 1.73007 117% - 0s
0 0 1.62485 0 72 0.79827 1.62485 104% - 0s
0 0 1.62478 0 78 0.79827 1.62478 104% - 0s
0 0 1.51560 0 73 0.79827 1.51560 89.9% - 0s
0 0 1.51305 0 74 0.79827 1.51305 89.5% - 0s
0 0 1.48826 0 84 0.79827 1.48826 86.4% - 0s
0 0 1.48773 0 80 0.79827 1.48773 86.4% - 0s
0 0 1.48279 0 79 0.79827 1.48279 85.8% - 0s
0 0 1.47870 0 80 0.79827 1.47870 85.2% - 0s
0 0 1.46603 0 80 0.79827 1.46603 83.7% - 0s
0 0 1.46537 0 81 0.79827 1.46537 83.6% - 0s
0 0 1.46497 0 79 0.79827 1.46497 83.5% - 0s
0 0 1.46477 0 80 0.79827 1.46477 83.5% - 0s
0 0 1.45886 0 81 0.79827 1.45886 82.8% - 0s
0 0 1.45886 0 81 0.79827 1.45886 82.8% - 0s
0 0 1.45654 0 81 0.79827 1.45654 82.5% - 0s
0 0 1.45638 0 81 0.79827 1.45638 82.4% - 0s
0 0 1.45638 0 81 0.79827 1.45638 82.4% - 0s
0 0 1.45638 0 70 0.79827 1.45638 82.4% - 0s
0 2 1.45638 0 70 0.79827 1.45638 82.4% - 0s
* 5389 243 58 0.7986778 0.84817 6.20% 6.6 3s
Cutting planes:
Gomory: 16
Cover: 50
Implied bound: 61
MIR: 11
Flow cover: 56
Flow path: 3
Inf proof: 105
Explored 6052 nodes (42190 simplex iterations) in 4.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.798678 0.798269
Optimal solution found (tolerance 1.00e-02)
Best objective 7.986777556137e-01, best bound 7.986777556137e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptc3fv465.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxe9x9265.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.797089
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.737327e+00, 681 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73733 0 54 0.79709 1.73733 118% - 0s
0 0 1.63685 0 75 0.79709 1.63685 105% - 0s
0 0 1.63676 0 79 0.79709 1.63676 105% - 0s
0 0 1.53363 0 83 0.79709 1.53363 92.4% - 0s
0 0 1.52935 0 81 0.79709 1.52935 91.9% - 0s
0 0 1.51795 0 88 0.79709 1.51795 90.4% - 0s
0 0 1.51770 0 85 0.79709 1.51770 90.4% - 0s
0 0 1.51763 0 85 0.79709 1.51763 90.4% - 0s
0 0 1.51675 0 86 0.79709 1.51675 90.3% - 0s
0 0 1.51334 0 86 0.79709 1.51334 89.9% - 0s
0 0 1.50841 0 83 0.79709 1.50841 89.2% - 0s
0 0 1.50834 0 83 0.79709 1.50834 89.2% - 0s
0 0 1.49367 0 83 0.79709 1.49367 87.4% - 0s
0 0 1.49367 0 85 0.79709 1.49367 87.4% - 0s
0 0 1.49361 0 83 0.79709 1.49361 87.4% - 0s
0 0 1.49351 0 84 0.79709 1.49351 87.4% - 0s
0 0 1.49351 0 84 0.79709 1.49351 87.4% - 0s
0 0 1.49351 0 84 0.79709 1.49351 87.4% - 0s
0 2 1.48949 0 84 0.79709 1.48949 86.9% - 0s
* 1098 486 87 0.8044299 1.19138 48.1% 11.7 3s
2035 517 1.03305 22 45 0.80443 1.09664 36.3% 11.4 5s
Cutting planes:
Gomory: 43
Cover: 4
Implied bound: 19
Projected implied bound: 35
MIR: 7
Flow cover: 69
Flow path: 2
Inf proof: 46
Explored 5028 nodes (50661 simplex iterations) in 7.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.80443 0.797089
Optimal solution found (tolerance 1.00e-02)
Best objective 8.044298566470e-01, best bound 8.078100155862e-01, gap 0.4202%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0ljasnlb.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvz9zqvyd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.782435
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.677089e+00, 707 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67709 0 58 0.78243 1.67709 114% - 0s
0 0 1.58640 0 84 0.78243 1.58640 103% - 0s
0 0 1.58632 0 90 0.78243 1.58632 103% - 0s
0 0 1.48491 0 88 0.78243 1.48491 89.8% - 0s
0 0 1.48477 0 90 0.78243 1.48477 89.8% - 0s
0 0 1.47466 0 91 0.78243 1.47466 88.5% - 0s
0 0 1.47426 0 89 0.78243 1.47426 88.4% - 0s
0 0 1.47359 0 85 0.78243 1.47359 88.3% - 0s
0 0 1.47292 0 85 0.78243 1.47292 88.2% - 0s
0 0 1.47050 0 86 0.78243 1.47050 87.9% - 0s
0 0 1.47050 0 86 0.78243 1.47050 87.9% - 0s
0 0 1.46892 0 85 0.78243 1.46892 87.7% - 0s
0 0 1.46892 0 85 0.78243 1.46892 87.7% - 0s
0 0 1.46892 0 74 0.78243 1.46892 87.7% - 0s
0 0 1.46892 0 74 0.78243 1.46892 87.7% - 0s
0 0 1.46892 0 72 0.78243 1.46892 87.7% - 0s
0 0 1.46892 0 72 0.78243 1.46892 87.7% - 0s
0 2 1.46892 0 72 0.78243 1.46892 87.7% - 0s
1825 530 1.01666 25 60 0.78243 1.15107 47.1% 15.0 5s
* 5189 0 63 0.7844639 0.78788 0.44% 12.4 8s
* 5208 0 64 0.7856746 0.78701 0.17% 12.3 8s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 5
Implied bound: 33
Projected implied bound: 37
Clique: 5
MIR: 14
Flow cover: 51
Flow path: 3
Inf proof: 42
Explored 5257 nodes (65838 simplex iterations) in 8.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.785675 0.784464 0.782435
Optimal solution found (tolerance 1.00e-02)
Best objective 7.856745914459e-01, best bound 7.861396887142e-01, gap 0.0592%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6korgoba.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4bdctdcm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.769651
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.612573e+00, 692 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61257 0 55 0.76965 1.61257 110% - 0s
0 0 1.52654 0 88 0.76965 1.52654 98.3% - 0s
0 0 1.52652 0 89 0.76965 1.52652 98.3% - 0s
0 0 1.49671 0 98 0.76965 1.49671 94.5% - 0s
0 0 1.49670 0 100 0.76965 1.49670 94.5% - 0s
0 0 1.49387 0 102 0.76965 1.49387 94.1% - 0s
0 0 1.49373 0 96 0.76965 1.49373 94.1% - 0s
0 0 1.48906 0 99 0.76965 1.48906 93.5% - 0s
0 0 1.48804 0 99 0.76965 1.48804 93.3% - 0s
0 0 1.48593 0 100 0.76965 1.48593 93.1% - 0s
0 0 1.48566 0 100 0.76965 1.48566 93.0% - 0s
0 0 1.47331 0 99 0.76965 1.47331 91.4% - 0s
0 0 1.47323 0 97 0.76965 1.47323 91.4% - 0s
0 0 1.46315 0 96 0.76965 1.46315 90.1% - 0s
0 0 1.46079 0 96 0.76965 1.46079 89.8% - 0s
0 0 1.46003 0 99 0.76965 1.46003 89.7% - 0s
0 0 1.45995 0 99 0.76965 1.45995 89.7% - 0s
0 0 1.45255 0 96 0.76965 1.45255 88.7% - 0s
0 0 1.45251 0 97 0.76965 1.45251 88.7% - 0s
0 0 1.45149 0 97 0.76965 1.45149 88.6% - 0s
0 0 1.45148 0 97 0.76965 1.45148 88.6% - 0s
0 0 1.45148 0 97 0.76965 1.45148 88.6% - 0s
0 0 1.45148 0 82 0.76965 1.45148 88.6% - 0s
0 2 1.45148 0 82 0.76965 1.45148 88.6% - 0s
1909 664 infeasible 27 0.76965 1.10641 43.8% 12.8 5s
6117 209 0.79963 36 39 0.76965 0.80405 4.47% 11.1 10s
Cutting planes:
Learned: 1
Gomory: 33
Cover: 4
Implied bound: 36
Projected implied bound: 32
Clique: 4
MIR: 24
Flow cover: 65
Flow path: 5
Inf proof: 59
Explored 6561 nodes (72409 simplex iterations) in 10.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.769651
Optimal solution found (tolerance 1.00e-02)
Best objective 7.696507557973e-01, best bound 7.764710335276e-01, gap 0.8862%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaw27rdu5.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpccwsrj8f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.746729
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.561414e+00, 715 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56141 0 59 0.74673 1.56141 109% - 0s
0 0 1.47595 0 88 0.74673 1.47595 97.7% - 0s
0 0 1.47586 0 96 0.74673 1.47586 97.6% - 0s
0 0 1.38638 0 98 0.74673 1.38638 85.7% - 0s
0 0 1.38367 0 99 0.74673 1.38367 85.3% - 0s
0 0 1.37323 0 102 0.74673 1.37323 83.9% - 0s
0 0 1.37266 0 103 0.74673 1.37266 83.8% - 0s
0 0 1.36065 0 96 0.74673 1.36065 82.2% - 0s
0 0 1.35967 0 96 0.74673 1.35967 82.1% - 0s
0 0 1.35723 0 97 0.74673 1.35723 81.8% - 0s
0 0 1.35723 0 97 0.74673 1.35723 81.8% - 0s
0 0 1.35721 0 98 0.74673 1.35721 81.8% - 0s
0 0 1.35715 0 98 0.74673 1.35715 81.7% - 0s
0 0 1.35024 0 98 0.74673 1.35024 80.8% - 0s
0 0 1.35024 0 98 0.74673 1.35024 80.8% - 0s
0 0 1.35024 0 98 0.74673 1.35024 80.8% - 0s
0 0 1.35001 0 88 0.74673 1.35001 80.8% - 0s
0 0 1.34998 0 89 0.74673 1.34998 80.8% - 0s
0 0 1.34992 0 87 0.74673 1.34992 80.8% - 0s
0 0 1.34992 0 84 0.74673 1.34992 80.8% - 0s
0 2 1.34992 0 82 0.74673 1.34992 80.8% - 0s
2250 533 0.90006 24 64 0.74673 1.04273 39.6% 13.3 5s
* 4933 416 71 0.7487542 0.82753 10.5% 11.7 8s
* 4934 413 71 0.7499588 0.82753 10.3% 11.6 8s
* 5214 332 67 0.7502710 0.80353 7.10% 11.5 8s
H 5455 192 0.7502890 0.78220 4.25% 11.3 8s
Cutting planes:
Learned: 1
Gomory: 22
Cover: 2
Implied bound: 25
Projected implied bound: 28
Clique: 3
MIR: 24
Flow cover: 49
Flow path: 5
Inf proof: 49
Network: 1
Explored 5830 nodes (65131 simplex iterations) in 9.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.750289 0.750271 0.749959 ... 0.746729
Optimal solution found (tolerance 1.00e-02)
Best objective 7.502889924848e-01, best bound 7.550017145534e-01, gap 0.6281%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpus9lcp_8.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnpvsdb9g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.748415
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.592498e+00, 830 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59250 0 61 0.74842 1.59250 113% - 0s
0 0 1.50744 0 99 0.74842 1.50744 101% - 0s
0 0 1.50742 0 98 0.74842 1.50742 101% - 0s
0 0 1.42391 0 96 0.74842 1.42391 90.3% - 0s
0 0 1.41989 0 102 0.74842 1.41989 89.7% - 0s
0 0 1.41149 0 108 0.74842 1.41149 88.6% - 0s
0 0 1.41111 0 104 0.74842 1.41111 88.5% - 0s
0 0 1.40198 0 102 0.74842 1.40198 87.3% - 0s
0 0 1.40044 0 103 0.74842 1.40044 87.1% - 0s
0 0 1.39929 0 102 0.74842 1.39929 87.0% - 0s
0 0 1.39917 0 103 0.74842 1.39917 87.0% - 0s
0 0 1.39194 0 103 0.74842 1.39194 86.0% - 0s
0 0 1.39169 0 105 0.74842 1.39169 86.0% - 0s
0 0 1.38868 0 100 0.74842 1.38868 85.5% - 0s
0 0 1.38676 0 103 0.74842 1.38676 85.3% - 0s
0 0 1.38362 0 102 0.74842 1.38362 84.9% - 0s
0 0 1.38310 0 102 0.74842 1.38310 84.8% - 0s
0 0 1.38308 0 101 0.74842 1.38308 84.8% - 0s
0 0 1.38163 0 101 0.74842 1.38163 84.6% - 0s
0 0 1.37722 0 102 0.74842 1.37722 84.0% - 0s
0 0 1.37707 0 104 0.74842 1.37707 84.0% - 0s
0 0 1.37508 0 107 0.74842 1.37508 83.7% - 0s
0 0 1.37508 0 107 0.74842 1.37508 83.7% - 0s
0 0 1.37501 0 107 0.74842 1.37501 83.7% - 0s
0 0 1.37501 0 84 0.74842 1.37501 83.7% - 0s
0 2 1.37042 0 92 0.74842 1.37042 83.1% - 0s
1439 623 0.86125 38 67 0.74842 1.18560 58.4% 14.6 5s
H 4836 1385 0.7485497 1.05141 40.5% 14.1 9s
4912 1395 0.93752 43 60 0.74855 1.04475 39.6% 14.1 10s
H 6175 1313 0.7485497 0.95434 27.5% 13.4 11s
8652 953 infeasible 38 0.74855 0.84885 13.4% 12.3 15s
Cutting planes:
Gomory: 35
Cover: 10
Implied bound: 17
Projected implied bound: 40
MIR: 25
Flow cover: 99
Flow path: 3
Inf proof: 107
Network: 1
Explored 11225 nodes (140548 simplex iterations) in 19.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.74855 0.74855 0.748415
Optimal solution found (tolerance 1.00e-02)
Best objective 7.485496743635e-01, best bound 7.485496743635e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfmu93jo9.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph0ar8b3b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.7233
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.537499e+00, 795 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53750 0 62 0.72330 1.53750 113% - 0s
0 0 1.45562 0 101 0.72330 1.45562 101% - 0s
0 0 1.45560 0 100 0.72330 1.45560 101% - 0s
0 0 1.43970 0 107 0.72330 1.43970 99.0% - 0s
0 0 1.43643 0 113 0.72330 1.43643 98.6% - 0s
0 0 1.43201 0 114 0.72330 1.43201 98.0% - 0s
0 0 1.43194 0 112 0.72330 1.43194 98.0% - 0s
0 0 1.43086 0 116 0.72330 1.43086 97.8% - 0s
0 0 1.42325 0 116 0.72330 1.42325 96.8% - 0s
0 0 1.41466 0 114 0.72330 1.41466 95.6% - 0s
0 0 1.41441 0 114 0.72330 1.41441 95.5% - 0s
0 0 1.41385 0 112 0.72330 1.41385 95.5% - 0s
0 0 1.41382 0 112 0.72330 1.41382 95.5% - 0s
0 0 1.41373 0 114 0.72330 1.41373 95.5% - 0s
0 0 1.41373 0 113 0.72330 1.41373 95.5% - 0s
0 0 1.41305 0 113 0.72330 1.41305 95.4% - 0s
0 0 1.41241 0 114 0.72330 1.41241 95.3% - 0s
0 0 1.41241 0 114 0.72330 1.41241 95.3% - 0s
0 0 1.39551 0 116 0.72330 1.39551 92.9% - 0s
0 0 1.39551 0 116 0.72330 1.39551 92.9% - 0s
0 0 1.39476 0 118 0.72330 1.39476 92.8% - 0s
0 0 1.39476 0 118 0.72330 1.39476 92.8% - 0s
0 0 1.39458 0 118 0.72330 1.39458 92.8% - 0s
0 0 1.39442 0 118 0.72330 1.39442 92.8% - 0s
0 0 1.39431 0 118 0.72330 1.39431 92.8% - 0s
0 0 1.39431 0 95 0.72330 1.39431 92.8% - 0s
0 2 1.39431 0 90 0.72330 1.39431 92.8% - 0s
1742 592 1.01149 32 84 0.72330 1.08540 50.1% 14.6 5s
5869 1041 infeasible 68 0.72330 0.86430 19.5% 12.1 10s
9039 292 infeasible 76 0.72330 0.77210 6.75% 12.0 15s
Cutting planes:
Learned: 2
Gomory: 35
Cover: 2
Implied bound: 35
Projected implied bound: 37
MIR: 19
Flow cover: 68
Flow path: 4
Inf proof: 85
Explored 9476 nodes (113428 simplex iterations) in 16.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.7233
Optimal solution found (tolerance 1.00e-02)
Best objective 7.232999137302e-01, best bound 7.289942858706e-01, gap 0.7873%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnbyvhk0a.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9djfeeg1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.705311
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.547154e+00, 844 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54715 0 69 0.70531 1.54715 119% - 0s
0 0 1.47883 0 105 0.70531 1.47883 110% - 0s
0 0 1.47873 0 110 0.70531 1.47873 110% - 0s
0 0 1.37564 0 114 0.70531 1.37564 95.0% - 0s
0 0 1.37477 0 114 0.70531 1.37477 94.9% - 0s
0 0 1.36390 0 116 0.70531 1.36390 93.4% - 0s
0 0 1.36357 0 115 0.70531 1.36357 93.3% - 0s
0 0 1.36139 0 114 0.70531 1.36139 93.0% - 0s
0 0 1.35988 0 114 0.70531 1.35988 92.8% - 0s
0 0 1.35942 0 114 0.70531 1.35942 92.7% - 0s
0 0 1.35849 0 114 0.70531 1.35849 92.6% - 0s
0 0 1.35849 0 95 0.70531 1.35849 92.6% - 0s
0 2 1.35849 0 95 0.70531 1.35849 92.6% - 0s
1403 558 infeasible 25 0.70531 1.10039 56.0% 15.8 5s
* 3441 715 95 0.7057724 0.95086 34.7% 12.8 7s
5040 986 0.76070 37 68 0.70577 0.85959 21.8% 12.3 10s
H 5625 1151 0.7061520 0.84713 20.0% 12.3 10s
7894 1073 cutoff 52 0.70615 0.79628 12.8% 12.7 15s
Cutting planes:
Gomory: 38
Cover: 4
Implied bound: 23
Projected implied bound: 35
Clique: 1
MIR: 14
Flow cover: 84
Flow path: 3
Inf proof: 102
Explored 10730 nodes (140441 simplex iterations) in 19.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.706152 0.705772 0.705311
Optimal solution found (tolerance 1.00e-02)
Best objective 7.061519889608e-01, best bound 7.123755775167e-01, gap 0.8813%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnqvdobwk.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1z3d381n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.699782
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.520332e+00, 729 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52033 0 64 0.69978 1.52033 117% - 0s
0 0 1.45491 0 107 0.69978 1.45491 108% - 0s
0 0 1.45481 0 108 0.69978 1.45481 108% - 0s
0 0 1.37847 0 116 0.69978 1.37847 97.0% - 0s
0 0 1.37448 0 115 0.69978 1.37448 96.4% - 0s
0 0 1.36074 0 124 0.69978 1.36074 94.5% - 0s
0 0 1.36067 0 123 0.69978 1.36067 94.4% - 0s
0 0 1.35946 0 123 0.69978 1.35946 94.3% - 0s
0 0 1.35714 0 123 0.69978 1.35714 93.9% - 0s
0 0 1.35306 0 124 0.69978 1.35306 93.4% - 0s
0 0 1.35295 0 124 0.69978 1.35295 93.3% - 0s
0 0 1.34233 0 129 0.69978 1.34233 91.8% - 0s
0 0 1.34225 0 130 0.69978 1.34225 91.8% - 0s
0 0 1.34069 0 118 0.69978 1.34069 91.6% - 0s
0 0 1.33360 0 122 0.69978 1.33360 90.6% - 0s
0 0 1.33203 0 125 0.69978 1.33203 90.3% - 0s
0 0 1.33195 0 125 0.69978 1.33195 90.3% - 0s
0 0 1.33195 0 105 0.69978 1.33195 90.3% - 0s
0 2 1.33195 0 103 0.69978 1.33195 90.3% - 0s
1061 515 infeasible 22 0.69978 1.17670 68.2% 17.4 5s
4793 1109 0.75045 54 44 0.69978 0.95079 35.9% 14.8 10s
8274 1230 infeasible 41 0.69978 0.84395 20.6% 14.4 15s
11567 272 0.73809 50 30 0.69978 0.73809 5.47% 14.5 20s
Cutting planes:
Learned: 1
Gomory: 32
Cover: 3
Implied bound: 28
Projected implied bound: 37
Clique: 1
MIR: 33
Flow cover: 110
Flow path: 2
Inf proof: 111
Network: 1
Explored 12308 nodes (178324 simplex iterations) in 20.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.699782
Optimal solution found (tolerance 1.00e-02)
Best objective 6.997820838991e-01, best bound 6.997820838991e-01, gap 0.0000%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptdmfy11e.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9v7reesj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.690175
Presolve removed 481 rows and 301 columns
Presolve time: 0.03s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.476083e+00, 868 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47608 0 69 0.69018 1.47608 114% - 0s
0 0 1.40780 0 112 0.69018 1.40780 104% - 0s
0 0 1.40774 0 111 0.69018 1.40774 104% - 0s
0 0 1.32293 0 104 0.69018 1.32293 91.7% - 0s
0 0 1.31878 0 110 0.69018 1.31878 91.1% - 0s
0 0 1.31138 0 113 0.69018 1.31138 90.0% - 0s
0 0 1.31132 0 112 0.69018 1.31132 90.0% - 0s
0 0 1.31129 0 113 0.69018 1.31129 90.0% - 0s
0 0 1.30894 0 115 0.69018 1.30894 89.7% - 0s
0 0 1.30807 0 117 0.69018 1.30807 89.5% - 0s
0 0 1.30807 0 116 0.69018 1.30807 89.5% - 0s
0 0 1.30807 0 115 0.69018 1.30807 89.5% - 0s
0 0 1.30806 0 116 0.69018 1.30806 89.5% - 0s
0 0 1.30798 0 96 0.69018 1.30798 89.5% - 0s
0 0 1.30798 0 94 0.69018 1.30798 89.5% - 0s
0 0 1.30796 0 99 0.69018 1.30796 89.5% - 0s
0 0 1.30796 0 99 0.69018 1.30796 89.5% - 0s
0 2 1.30796 0 95 0.69018 1.30796 89.5% - 0s
1341 553 cutoff 63 0.69018 1.11319 61.3% 16.3 5s
5292 1128 infeasible 44 0.69018 0.82549 19.6% 11.9 10s
8175 1163 infeasible 44 0.69018 0.78121 13.2% 12.0 15s
Cutting planes:
Learned: 2
Gomory: 33
Cover: 2
Implied bound: 27
Projected implied bound: 24
Clique: 1
MIR: 19
Flow cover: 80
Flow path: 2
Inf proof: 112
Explored 10900 nodes (138858 simplex iterations) in 19.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.690175
Optimal solution found (tolerance 1.00e-02)
Best objective 6.901751992671e-01, best bound 6.917837437936e-01, gap 0.2331%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmidh5eay.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0qpioyf_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.673563
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.431220e+00, 965 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43122 0 69 0.67356 1.43122 112% - 0s
0 0 1.36481 0 109 0.67356 1.36481 103% - 0s
0 0 1.36471 0 113 0.67356 1.36471 103% - 0s
0 0 1.28582 0 118 0.67356 1.28582 90.9% - 0s
0 0 1.28228 0 120 0.67356 1.28228 90.4% - 0s
0 0 1.27563 0 119 0.67356 1.27563 89.4% - 0s
0 0 1.27563 0 119 0.67356 1.27563 89.4% - 0s
0 0 1.27461 0 113 0.67356 1.27461 89.2% - 0s
0 0 1.27233 0 115 0.67356 1.27233 88.9% - 0s
0 0 1.26861 0 116 0.67356 1.26861 88.3% - 0s
0 0 1.26852 0 116 0.67356 1.26852 88.3% - 0s
0 0 1.25835 0 122 0.67356 1.25835 86.8% - 0s
0 0 1.25827 0 125 0.67356 1.25827 86.8% - 0s
0 0 1.25749 0 115 0.67356 1.25749 86.7% - 0s
0 0 1.25748 0 116 0.67356 1.25748 86.7% - 0s
0 0 1.25740 0 117 0.67356 1.25740 86.7% - 0s
0 0 1.25739 0 119 0.67356 1.25739 86.7% - 0s
0 0 1.25738 0 119 0.67356 1.25738 86.7% - 0s
0 0 1.25738 0 102 0.67356 1.25738 86.7% - 0s
0 2 1.25738 0 101 0.67356 1.25738 86.7% - 0s
1096 514 0.83616 54 72 0.67356 1.10416 63.9% 16.2 5s
4417 1332 0.77075 30 85 0.67356 0.89184 32.4% 14.3 10s
8615 2143 infeasible 35 0.67356 0.80870 20.1% 12.1 15s
12280 1372 infeasible 48 0.67356 0.74701 10.9% 12.3 20s
Cutting planes:
Learned: 1
Gomory: 29
Cover: 4
Implied bound: 33
Projected implied bound: 39
Clique: 1
MIR: 26
Flow cover: 89
Flow path: 3
Inf proof: 139
Network: 1
Explored 15019 nodes (191153 simplex iterations) in 24.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.673563
Optimal solution found (tolerance 1.00e-02)
Best objective 6.735632190724e-01, best bound 6.795983947806e-01, gap 0.8960%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpansg0jqp.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps9b9a1rp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.680324
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.466456e+00, 929 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46646 0 76 0.68032 1.46646 116% - 0s
0 0 1.39897 0 124 0.68032 1.39897 106% - 0s
0 0 1.39892 0 127 0.68032 1.39892 106% - 0s
0 0 1.31509 0 130 0.68032 1.31509 93.3% - 0s
0 0 1.31363 0 130 0.68032 1.31363 93.1% - 0s
0 0 1.30613 0 129 0.68032 1.30613 92.0% - 0s
0 0 1.30581 0 128 0.68032 1.30581 91.9% - 0s
0 0 1.30503 0 123 0.68032 1.30503 91.8% - 0s
0 0 1.30403 0 129 0.68032 1.30403 91.7% - 0s
0 0 1.30223 0 132 0.68032 1.30223 91.4% - 0s
0 0 1.30223 0 122 0.68032 1.30223 91.4% - 0s
0 0 1.30133 0 123 0.68032 1.30133 91.3% - 0s
0 0 1.29923 0 126 0.68032 1.29923 91.0% - 0s
0 0 1.29833 0 126 0.68032 1.29833 90.8% - 0s
0 0 1.29833 0 126 0.68032 1.29833 90.8% - 0s
0 0 1.29833 0 114 0.68032 1.29833 90.8% - 0s
0 2 1.29833 0 109 0.68032 1.29833 90.8% - 0s
854 509 infeasible 38 0.68032 1.18918 74.8% 15.9 5s
4106 804 infeasible 60 0.68032 0.93895 38.0% 12.9 10s
8691 1778 infeasible 54 0.68032 0.84550 24.3% 12.4 15s
11461 1706 0.74181 48 55 0.68032 0.79513 16.9% 13.6 20s
14068 1124 infeasible 53 0.68032 0.74409 9.37% 13.9 25s
Cutting planes:
Learned: 1
Gomory: 38
Cover: 4
Implied bound: 33
Projected implied bound: 43
Clique: 1
MIR: 25
Flow cover: 112
Flow path: 2
Inf proof: 164
Explored 16386 nodes (225959 simplex iterations) in 28.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.680324
Optimal solution found (tolerance 1.00e-02)
Best objective 6.803244874570e-01, best bound 6.834874212579e-01, gap 0.4649%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuvhh5fxy.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4ts76km7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.66914
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.441781e+00, 881 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44178 0 82 0.66914 1.44178 115% - 0s
0 0 1.37709 0 128 0.66914 1.37709 106% - 0s
0 0 1.37706 0 131 0.66914 1.37706 106% - 0s
0 0 1.30211 0 126 0.66914 1.30211 94.6% - 0s
0 0 1.30085 0 133 0.66914 1.30085 94.4% - 0s
0 0 1.29276 0 131 0.66914 1.29276 93.2% - 0s
0 0 1.29213 0 129 0.66914 1.29213 93.1% - 0s
0 0 1.29143 0 128 0.66914 1.29143 93.0% - 0s
0 0 1.29024 0 130 0.66914 1.29024 92.8% - 0s
0 0 1.28969 0 130 0.66914 1.28969 92.7% - 0s
0 0 1.28969 0 130 0.66914 1.28969 92.7% - 0s
0 0 1.28956 0 134 0.66914 1.28956 92.7% - 0s
0 0 1.28956 0 134 0.66914 1.28956 92.7% - 0s
0 0 1.28956 0 130 0.66914 1.28956 92.7% - 0s
0 0 1.28956 0 109 0.66914 1.28956 92.7% - 0s
0 2 1.28956 0 103 0.66914 1.28956 92.7% - 0s
796 515 1.06535 22 99 0.66914 1.08821 62.6% 18.7 5s
3173 1076 0.81373 42 74 0.66914 0.98937 47.9% 17.2 10s
5240 1585 0.79625 26 83 0.66914 0.94421 41.1% 17.5 15s
8917 2168 infeasible 38 0.66914 0.85046 27.1% 16.7 20s
11794 2341 infeasible 55 0.66914 0.79983 19.5% 16.6 25s
H12761 2259 0.6692958 0.77943 16.5% 17.0 28s
H12773 2224 0.6704362 0.77943 16.3% 17.0 30s
*13921 1928 57 0.6709584 0.75898 13.1% 17.2 32s
15169 1529 0.70881 60 46 0.67096 0.73413 9.41% 17.0 35s
17693 151 infeasible 57 0.67096 0.68789 2.52% 16.6 40s
Cutting planes:
Learned: 1
Gomory: 51
Cover: 4
Implied bound: 52
Projected implied bound: 39
Clique: 5
MIR: 26
StrongCG: 1
Flow cover: 109
Flow path: 4
Inf proof: 186
Explored 17932 nodes (296463 simplex iterations) in 40.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.670958 0.670436 0.669296 0.66914
Optimal solution found (tolerance 1.00e-02)
Best objective 6.709584012151e-01, best bound 6.709584012151e-01, gap 0.0000%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwce_xgev.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5j0qqbfg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.657404
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.403390e+00, 950 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40339 0 86 0.65740 1.40339 113% - 0s
0 0 1.34017 0 138 0.65740 1.34017 104% - 0s
0 0 1.34009 0 141 0.65740 1.34009 104% - 0s
0 0 1.27602 0 137 0.65740 1.27602 94.1% - 0s
0 0 1.26728 0 135 0.65740 1.26728 92.8% - 0s
0 0 1.25573 0 139 0.65740 1.25573 91.0% - 0s
0 0 1.25398 0 138 0.65740 1.25398 90.7% - 0s
0 0 1.25299 0 138 0.65740 1.25299 90.6% - 0s
0 0 1.25293 0 138 0.65740 1.25293 90.6% - 0s
0 0 1.25282 0 141 0.65740 1.25282 90.6% - 0s
0 0 1.25282 0 133 0.65740 1.25282 90.6% - 0s
0 0 1.24780 0 129 0.65740 1.24780 89.8% - 0s
0 0 1.24779 0 130 0.65740 1.24779 89.8% - 0s
0 0 1.24265 0 130 0.65740 1.24265 89.0% - 0s
0 0 1.24261 0 131 0.65740 1.24261 89.0% - 0s
0 0 1.24261 0 131 0.65740 1.24261 89.0% - 0s
0 0 1.24261 0 112 0.65740 1.24261 89.0% - 0s
0 2 1.24261 0 109 0.65740 1.24261 89.0% - 0s
791 569 0.99589 20 133 0.65740 1.13375 72.5% 15.2 5s
2651 944 0.84945 58 90 0.65740 1.01276 54.1% 16.7 10s
5532 1672 0.69972 52 66 0.65740 0.91102 38.6% 15.6 15s
8570 2775 0.85730 45 81 0.65740 0.87750 33.5% 15.0 20s
H 8571 2768 0.6584251 0.87750 33.3% 15.0 20s
10301 2894 cutoff 31 0.65843 0.85059 29.2% 16.0 25s
12218 2645 0.70599 50 76 0.65843 0.81436 23.7% 17.0 30s
14481 2103 0.76015 48 67 0.65843 0.76323 15.9% 17.6 35s
16977 1029 infeasible 52 0.65843 0.70879 7.65% 17.8 40s
Cutting planes:
Learned: 1
Gomory: 55
Cover: 4
Implied bound: 27
Projected implied bound: 36
Clique: 3
MIR: 31
Flow cover: 124
Flow path: 4
Inf proof: 126
Explored 18420 nodes (323597 simplex iterations) in 42.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.658425 0.657404
Optimal solution found (tolerance 1.00e-02)
Best objective 6.584251399155e-01, best bound 6.644185193282e-01, gap 0.9103%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmposmxc9do.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp92535bu5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.663527
Presolve removed 546 rows and 341 columns
Presolve time: 0.04s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.414440e+00, 1051 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41444 0 80 0.66353 1.41444 113% - 0s
0 0 1.35315 0 124 0.66353 1.35315 104% - 0s
0 0 1.35307 0 129 0.66353 1.35307 104% - 0s
0 0 1.29252 0 141 0.66353 1.29252 94.8% - 0s
0 0 1.28264 0 139 0.66353 1.28264 93.3% - 0s
0 0 1.27596 0 140 0.66353 1.27596 92.3% - 0s
0 0 1.27553 0 139 0.66353 1.27553 92.2% - 0s
0 0 1.27483 0 134 0.66353 1.27483 92.1% - 0s
0 0 1.27345 0 133 0.66353 1.27345 91.9% - 0s
0 0 1.27010 0 134 0.66353 1.27010 91.4% - 0s
0 0 1.27005 0 133 0.66353 1.27005 91.4% - 0s
0 0 1.26714 0 133 0.66353 1.26714 91.0% - 0s
0 0 1.26714 0 134 0.66353 1.26714 91.0% - 0s
0 0 1.26659 0 134 0.66353 1.26659 90.9% - 0s
0 0 1.26659 0 134 0.66353 1.26659 90.9% - 0s
0 0 1.26655 0 134 0.66353 1.26655 90.9% - 0s
0 0 1.26655 0 115 0.66353 1.26655 90.9% - 0s
0 2 1.26655 0 115 0.66353 1.26655 90.9% - 0s
821 535 1.11822 19 117 0.66353 1.11822 68.5% 18.0 5s
2844 922 0.86588 34 91 0.66353 1.00638 51.7% 17.7 10s
5160 1594 infeasible 34 0.66353 0.93778 41.3% 17.4 15s
7925 2273 0.82899 40 83 0.66353 0.89107 34.3% 16.3 20s
11844 2884 0.76167 48 64 0.66353 0.82490 24.3% 14.8 25s
14151 3155 infeasible 52 0.66353 0.81149 22.3% 14.6 30s
17199 3290 infeasible 45 0.66353 0.79193 19.4% 14.7 35s
19659 2832 infeasible 49 0.66353 0.76629 15.5% 15.2 40s
21821 2161 0.71306 53 48 0.66353 0.74044 11.6% 15.6 45s
24744 733 infeasible 59 0.66353 0.69469 4.70% 15.5 50s
Cutting planes:
Learned: 3
Gomory: 41
Cover: 1
Implied bound: 42
Projected implied bound: 37
Clique: 2
MIR: 30
Flow cover: 114
Flow path: 4
Inf proof: 249
Network: 1
Explored 26069 nodes (398808 simplex iterations) in 51.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.663527
Optimal solution found (tolerance 1.00e-02)
Best objective 6.635265440648e-01, best bound 6.692477616458e-01, gap 0.8622%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp76rnk_tj.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6bzlpjmo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.665002
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.397757e+00, 1003 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39776 0 86 0.66500 1.39776 110% - 0s
0 0 1.33832 0 143 0.66500 1.33832 101% - 0s
0 0 1.33826 0 146 0.66500 1.33826 101% - 0s
0 0 1.28544 0 156 0.66500 1.28544 93.3% - 0s
0 0 1.28200 0 160 0.66500 1.28200 92.8% - 0s
0 0 1.27501 0 157 0.66500 1.27501 91.7% - 0s
0 0 1.27488 0 159 0.66500 1.27488 91.7% - 0s
0 0 1.26826 0 145 0.66500 1.26826 90.7% - 0s
0 0 1.26772 0 144 0.66500 1.26772 90.6% - 0s
0 0 1.26168 0 144 0.66500 1.26168 89.7% - 0s
0 0 1.26123 0 145 0.66500 1.26123 89.7% - 0s
0 0 1.25892 0 148 0.66500 1.25892 89.3% - 0s
0 0 1.25681 0 146 0.66500 1.25681 89.0% - 0s
0 0 1.25580 0 145 0.66500 1.25580 88.8% - 0s
0 0 1.25568 0 147 0.66500 1.25568 88.8% - 0s
0 0 1.25568 0 148 0.66500 1.25568 88.8% - 0s
0 0 1.25566 0 148 0.66500 1.25566 88.8% - 0s
0 0 1.25466 0 147 0.66500 1.25466 88.7% - 0s
0 0 1.25417 0 148 0.66500 1.25417 88.6% - 0s
0 0 1.25417 0 129 0.66500 1.25417 88.6% - 0s
0 2 1.25417 0 124 0.66500 1.25417 88.6% - 0s
784 523 1.18282 19 137 0.66500 1.18282 77.9% 18.0 5s
2417 763 0.83057 42 142 0.66500 1.11789 68.1% 20.1 10s
4160 1236 1.01074 45 110 0.66500 1.04311 56.9% 20.1 15s
7719 1661 0.70793 66 41 0.66500 0.90365 35.9% 16.3 20s
11955 2564 infeasible 48 0.66500 0.83498 25.6% 14.0 25s
14538 2710 0.74825 57 59 0.66500 0.80706 21.4% 14.0 30s
16881 2568 0.69902 82 29 0.66500 0.78201 17.6% 14.5 35s
19318 1978 infeasible 65 0.66500 0.74839 12.5% 15.1 40s
21916 897 0.69749 66 36 0.66500 0.70814 6.49% 15.3 45s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 4
Implied bound: 30
Projected implied bound: 34
Clique: 3
MIR: 24
Flow cover: 140
Flow path: 3
Inf proof: 217
Explored 23657 nodes (359782 simplex iterations) in 47.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.665002
Optimal solution found (tolerance 1.00e-02)
Best objective 6.650016677470e-01, best bound 6.661056768767e-01, gap 0.1660%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa2xe5mit.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdk1tsvpa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.662997
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.371616e+00, 1043 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37162 0 90 0.66300 1.37162 107% - 0s
0 0 1.31329 0 143 0.66300 1.31329 98.1% - 0s
0 0 1.31324 0 147 0.66300 1.31324 98.1% - 0s
0 0 1.25928 0 148 0.66300 1.25928 89.9% - 0s
0 0 1.25774 0 150 0.66300 1.25774 89.7% - 0s
0 0 1.25085 0 150 0.66300 1.25085 88.7% - 0s
0 0 1.25058 0 154 0.66300 1.25058 88.6% - 0s
0 0 1.24948 0 141 0.66300 1.24948 88.5% - 0s
0 0 1.24892 0 137 0.66300 1.24892 88.4% - 0s
0 0 1.24633 0 142 0.66300 1.24633 88.0% - 0s
0 0 1.24548 0 142 0.66300 1.24548 87.9% - 0s
0 0 1.24336 0 142 0.66300 1.24336 87.5% - 0s
0 0 1.24336 0 143 0.66300 1.24336 87.5% - 0s
0 0 1.24336 0 143 0.66300 1.24336 87.5% - 0s
0 0 1.24033 0 143 0.66300 1.24033 87.1% - 0s
0 0 1.24033 0 143 0.66300 1.24033 87.1% - 0s
0 0 1.24033 0 143 0.66300 1.24033 87.1% - 0s
0 0 1.24033 0 121 0.66300 1.24033 87.1% - 0s
0 2 1.24033 0 117 0.66300 1.24033 87.1% - 0s
782 502 0.92490 9 139 0.66300 1.11800 68.6% 12.2 5s
2133 721 0.97227 25 104 0.66300 1.04454 57.5% 19.4 10s
4572 1156 0.75083 47 76 0.66300 0.93846 41.5% 18.8 15s
8028 1658 0.78033 44 89 0.66300 0.84392 27.3% 16.4 20s
12207 2395 0.69472 69 55 0.66300 0.80069 20.8% 15.2 25s
H13027 2559 0.6629967 0.79577 20.0% 15.1 26s
13751 2578 0.71268 60 51 0.66300 0.78895 19.0% 15.2 30s
16396 2650 infeasible 87 0.66300 0.76519 15.4% 15.2 35s
19214 2352 cutoff 65 0.66300 0.73981 11.6% 15.5 40s
21807 1689 cutoff 59 0.66300 0.71136 7.29% 15.6 45s
24326 708 infeasible 73 0.66300 0.68747 3.69% 15.7 50s
Cutting planes:
Gomory: 54
Cover: 4
Implied bound: 43
Projected implied bound: 41
Clique: 2
MIR: 33
Flow cover: 132
Flow path: 3
Inf proof: 210
Explored 25732 nodes (400932 simplex iterations) in 52.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.662997 0.662997
Optimal solution found (tolerance 1.00e-02)
Best objective 6.629966770331e-01, best bound 6.668814600768e-01, gap 0.5859%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp5v75qce.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnvg68eop.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.65993
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.348182e+00, 1038 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34818 0 87 0.65993 1.34818 104% - 0s
0 0 1.29549 0 136 0.65993 1.29549 96.3% - 0s
0 0 1.29549 0 136 0.65993 1.29549 96.3% - 0s
0 0 1.25324 0 152 0.65993 1.25324 89.9% - 0s
0 0 1.24717 0 150 0.65993 1.24717 89.0% - 0s
0 0 1.23760 0 157 0.65993 1.23760 87.5% - 0s
0 0 1.23628 0 161 0.65993 1.23628 87.3% - 0s
0 0 1.22959 0 159 0.65993 1.22959 86.3% - 0s
0 0 1.22945 0 159 0.65993 1.22945 86.3% - 0s
0 0 1.22684 0 160 0.65993 1.22684 85.9% - 0s
0 0 1.22684 0 160 0.65993 1.22684 85.9% - 0s
0 0 1.22503 0 152 0.65993 1.22503 85.6% - 0s
0 0 1.22498 0 153 0.65993 1.22498 85.6% - 0s
0 0 1.21982 0 156 0.65993 1.21982 84.8% - 0s
0 0 1.21980 0 159 0.65993 1.21980 84.8% - 0s
0 0 1.21974 0 156 0.65993 1.21974 84.8% - 0s
0 0 1.21974 0 160 0.65993 1.21974 84.8% - 0s
0 0 1.21971 0 159 0.65993 1.21971 84.8% - 0s
0 0 1.21971 0 129 0.65993 1.21971 84.8% - 0s
0 2 1.21971 0 129 0.65993 1.21971 84.8% - 0s
836 548 0.96906 24 114 0.65993 1.15857 75.6% 20.3 5s
2563 809 0.94911 33 133 0.65993 1.04155 57.8% 20.0 10s
4916 1152 0.80604 47 74 0.65993 0.96212 45.8% 18.1 15s
7459 1467 0.78081 52 83 0.65993 0.88850 34.6% 16.7 20s
10184 1585 infeasible 34 0.65993 0.82732 25.4% 16.0 25s
12924 1623 0.66045 71 33 0.65993 0.78283 18.6% 16.2 30s
15306 1220 cutoff 44 0.65993 0.74127 12.3% 16.2 35s
18127 602 0.68833 51 55 0.65993 0.69535 5.37% 16.3 40s
Cutting planes:
Learned: 1
Gomory: 41
Cover: 2
Implied bound: 31
Projected implied bound: 37
Clique: 2
MIR: 30
Flow cover: 126
Flow path: 5
Inf proof: 238
Network: 2
Explored 19295 nodes (313494 simplex iterations) in 41.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.65993
Optimal solution found (tolerance 1.00e-02)
Best objective 6.599297068793e-01, best bound 6.643858799814e-01, gap 0.6752%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpya2wl_8c.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp61ix7yo9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.644711
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.314957e+00, 1081 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31496 0 92 0.64471 1.31496 104% - 0s
0 0 1.26356 0 142 0.64471 1.26356 96.0% - 0s
0 0 1.26355 0 145 0.64471 1.26355 96.0% - 0s
0 0 1.22420 0 151 0.64471 1.22420 89.9% - 0s
0 0 1.21830 0 158 0.64471 1.21830 89.0% - 0s
0 0 1.21654 0 163 0.64471 1.21654 88.7% - 0s
0 0 1.21475 0 161 0.64471 1.21475 88.4% - 0s
0 0 1.20635 0 158 0.64471 1.20635 87.1% - 0s
0 0 1.20586 0 158 0.64471 1.20586 87.0% - 0s
0 0 1.19811 0 158 0.64471 1.19811 85.8% - 0s
0 0 1.19588 0 157 0.64471 1.19588 85.5% - 0s
0 0 1.19395 0 154 0.64471 1.19395 85.2% - 0s
0 0 1.19395 0 154 0.64471 1.19395 85.2% - 0s
0 0 1.19395 0 156 0.64471 1.19395 85.2% - 0s
0 0 1.19395 0 129 0.64471 1.19395 85.2% - 0s
0 2 1.19395 0 127 0.64471 1.19395 85.2% - 0s
758 559 0.91546 64 150 0.64471 1.13252 75.7% 10.4 5s
1532 669 1.02136 30 116 0.64471 1.04389 61.9% 19.9 10s
3606 1484 0.86194 42 90 0.64471 1.00659 56.1% 18.5 15s
H 4250 1697 0.6447110 0.98818 53.3% 18.2 16s
5545 2007 0.65050 54 85 0.64471 0.96227 49.3% 18.9 20s
7819 2470 0.85063 38 96 0.64471 0.88681 37.6% 17.8 25s
11465 3264 0.82755 51 73 0.64471 0.83101 28.9% 15.9 30s
15269 3922 cutoff 38 0.64471 0.79495 23.3% 15.1 35s
H16846 4285 0.6447110 0.78671 22.0% 14.9 38s
17685 4335 0.71373 52 87 0.64471 0.78215 21.3% 15.0 40s
19322 4508 0.69491 52 91 0.64471 0.77234 19.8% 15.2 45s
21091 4540 0.68426 54 129 0.64471 0.76073 18.0% 15.5 62s
21101 4547 0.75655 57 187 0.64471 0.76073 18.0% 15.5 65s
21111 4553 0.69756 103 228 0.64471 0.76073 18.0% 15.5 70s
21122 4561 0.66980 60 220 0.64471 0.76073 18.0% 15.5 75s
21130 4566 0.73544 66 226 0.64471 0.76073 18.0% 15.5 80s
21141 4573 0.75544 41 232 0.64471 0.76073 18.0% 15.5 85s
21146 4577 0.75216 62 229 0.64471 0.76073 18.0% 15.4 90s
21152 4581 0.65549 85 231 0.64471 0.76073 18.0% 15.4 95s
21159 4585 0.75200 54 234 0.64471 0.76073 18.0% 15.4 100s
21165 4589 0.68625 57 230 0.64471 0.76073 18.0% 15.4 105s
21174 4595 0.73352 56 243 0.64471 0.76073 18.0% 15.4 110s
21179 4599 0.67078 63 239 0.64471 0.76073 18.0% 15.4 115s
21187 4604 0.72607 56 238 0.64471 0.76073 18.0% 15.4 121s
21194 4609 0.65865 46 243 0.64471 0.76073 18.0% 15.4 125s
21200 4613 0.69517 66 238 0.64471 0.76073 18.0% 15.4 130s
21209 4619 0.68027 73 245 0.64471 0.76073 18.0% 15.4 135s
21218 4625 0.74912 41 231 0.64471 0.76073 18.0% 15.4 141s
21224 4629 0.69956 57 227 0.64471 0.76073 18.0% 15.4 145s
21233 4635 0.67086 69 233 0.64471 0.76073 18.0% 15.4 150s
21240 4639 0.69295 69 233 0.64471 0.76073 18.0% 15.4 156s
21244 4642 0.67086 69 232 0.64471 0.76073 18.0% 15.4 160s
21252 4647 0.65549 85 226 0.64471 0.76073 18.0% 15.4 165s
21259 4652 0.75200 54 238 0.64471 0.76073 18.0% 15.4 170s
21263 4655 0.70206 64 222 0.64471 0.76073 18.0% 15.4 175s
21268 4658 0.68486 65 229 0.64471 0.76073 18.0% 15.4 180s
21272 4661 0.72883 42 223 0.64471 0.76073 18.0% 15.4 185s
21276 4663 0.70149 73 235 0.64471 0.76073 18.0% 15.4 190s
21284 4669 0.73026 49 234 0.64471 0.76073 18.0% 15.3 195s
21289 4672 0.71176 54 234 0.64471 0.76073 18.0% 15.3 200s
21297 4677 0.74328 48 246 0.64471 0.76073 18.0% 15.3 205s
21302 4681 0.65676 71 240 0.64471 0.76073 18.0% 15.3 210s
21307 4684 0.67596 45 243 0.64471 0.76073 18.0% 15.3 215s
21314 4689 0.68801 61 239 0.64471 0.76073 18.0% 15.3 220s
21320 4693 0.66194 56 236 0.64471 0.76073 18.0% 15.3 225s
21324 4695 0.69956 57 233 0.64471 0.76073 18.0% 15.3 230s
21330 4699 0.73544 66 234 0.64471 0.76073 18.0% 15.3 235s
21335 4703 0.65703 61 239 0.64471 0.76073 18.0% 15.3 240s
21340 4706 0.69295 69 228 0.64471 0.76073 18.0% 15.3 245s
21346 4710 0.75216 62 236 0.64471 0.76073 18.0% 15.3 250s
21351 4713 0.73806 78 235 0.64471 0.76073 18.0% 15.3 255s
21354 4716 0.76073 25 206 0.64471 0.76073 18.0% 17.3 264s
21356 4718 0.76073 26 212 0.64471 0.76073 18.0% 17.3 269s
21358 4717 infeasible 27 0.64471 0.76073 18.0% 17.4 270s
21420 4705 infeasible 36 0.64471 0.76073 18.0% 17.9 275s
21741 4693 0.64830 47 130 0.64471 0.76073 18.0% 18.9 280s
22402 4722 0.72341 42 135 0.64471 0.74327 15.3% 19.8 285s
23024 4684 0.67154 52 83 0.64471 0.72689 12.7% 20.6 290s
23805 4455 cutoff 55 0.64471 0.70335 9.09% 21.4 295s
24867 4060 cutoff 50 0.64471 0.68245 5.85% 22.1 300s
26092 3439 0.64545 55 72 0.64471 0.65867 2.16% 22.3 305s
Cutting planes:
Learned: 1
Gomory: 145
Cover: 17
Implied bound: 13
Projected implied bound: 43
Clique: 12
MIR: 183
StrongCG: 5
Flow cover: 508
Flow path: 1
Inf proof: 37
Explored 26873 nodes (604177 simplex iterations) in 307.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.644711 0.644711 0.644711
Optimal solution found (tolerance 1.00e-02)
Best objective 6.447109991518e-01, best bound 6.486150686989e-01, gap 0.6056%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz8xd0_hg.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvopwyt2b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.645863
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.337269e+00, 1122 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33727 0 95 0.64586 1.33727 107% - 0s
0 0 1.28373 0 152 0.64586 1.28373 98.8% - 0s
0 0 1.28369 0 154 0.64586 1.28369 98.8% - 0s
0 0 1.23270 0 166 0.64586 1.23270 90.9% - 0s
0 0 1.23126 0 166 0.64586 1.23126 90.6% - 0s
0 0 1.22464 0 163 0.64586 1.22464 89.6% - 0s
0 0 1.22368 0 167 0.64586 1.22368 89.5% - 0s
0 0 1.22332 0 157 0.64586 1.22332 89.4% - 0s
0 0 1.22224 0 157 0.64586 1.22224 89.2% - 0s
0 0 1.22209 0 155 0.64586 1.22209 89.2% - 0s
0 0 1.22169 0 155 0.64586 1.22169 89.2% - 0s
0 0 1.22166 0 155 0.64586 1.22166 89.2% - 0s
0 0 1.22166 0 127 0.64586 1.22166 89.2% - 0s
0 2 1.21928 0 139 0.64586 1.21928 88.8% - 0s
788 535 1.12496 14 142 0.64586 1.13115 75.1% 18.2 5s
2219 532 0.92188 27 113 0.64586 1.01513 57.2% 19.7 10s
5550 1674 0.77168 39 92 0.64586 0.93506 44.8% 15.1 15s
9158 2375 0.78591 42 114 0.64586 0.86325 33.7% 14.4 20s
11627 2970 0.70568 83 56 0.64586 0.84393 30.7% 14.3 25s
14721 3947 0.70234 73 64 0.64586 0.82338 27.5% 13.9 30s
18790 5083 0.72669 36 97 0.64586 0.80055 24.0% 13.6 35s
20606 5433 0.73143 65 127 0.64586 0.79099 22.5% 13.7 53s
20616 5440 0.75772 74 193 0.64586 0.79099 22.5% 13.7 56s
20626 5446 0.68382 42 203 0.64586 0.79099 22.5% 13.7 60s
20634 5452 0.70328 78 185 0.64586 0.79099 22.5% 13.7 65s
20639 5455 0.71039 80 207 0.64586 0.79099 22.5% 13.7 70s
20647 5460 0.67728 70 206 0.64586 0.79099 22.5% 13.7 75s
20653 5464 0.66669 75 211 0.64586 0.79099 22.5% 13.7 80s
20661 5470 0.77478 72 212 0.64586 0.79099 22.5% 13.7 85s
20665 5472 0.77761 65 211 0.64586 0.79099 22.5% 13.7 90s
20672 5477 0.73191 48 211 0.64586 0.79099 22.5% 13.7 95s
20681 5483 0.69080 59 219 0.64586 0.79099 22.5% 13.7 100s
20686 5486 0.77305 64 220 0.64586 0.79099 22.5% 13.7 105s
20693 5491 0.68992 84 217 0.64586 0.79099 22.5% 13.7 110s
20698 5494 0.77646 46 213 0.64586 0.79099 22.5% 13.7 115s
20707 5500 0.69670 94 210 0.64586 0.79099 22.5% 13.7 121s
20714 5505 0.77851 56 220 0.64586 0.79099 22.5% 13.6 125s
20721 5510 0.69531 51 219 0.64586 0.79099 22.5% 13.6 130s
20727 5514 0.71817 62 218 0.64586 0.79099 22.5% 13.6 135s
20733 5518 0.74457 67 221 0.64586 0.79099 22.5% 13.6 140s
20737 5520 0.69144 61 213 0.64586 0.79099 22.5% 13.6 145s
20743 5524 0.64990 74 218 0.64586 0.79099 22.5% 13.6 151s
20750 5529 0.76473 58 225 0.64586 0.79099 22.5% 13.6 155s
20758 5534 0.71745 59 222 0.64586 0.79099 22.5% 13.6 160s
20764 5538 0.76266 73 226 0.64586 0.79099 22.5% 13.6 165s
20770 5542 0.78485 24 225 0.64586 0.79099 22.5% 13.6 170s
20775 5546 0.69089 81 227 0.64586 0.79099 22.5% 13.6 175s
20781 5550 0.69080 59 232 0.64586 0.79099 22.5% 13.6 180s
20787 5554 0.77791 60 224 0.64586 0.79099 22.5% 13.6 185s
20795 5559 0.75288 46 232 0.64586 0.79099 22.5% 13.6 190s
20803 5564 0.67129 82 229 0.64586 0.79099 22.5% 13.6 195s
20811 5570 0.66544 42 229 0.64586 0.79099 22.5% 13.6 200s
20818 5574 0.66841 111 232 0.64586 0.79099 22.5% 13.6 205s
20825 5579 0.69068 83 229 0.64586 0.79099 22.5% 13.6 210s
H20831 5301 0.6458631 0.79099 22.5% 15.3 218s
20833 5301 0.77652 29 192 0.64586 0.79099 22.5% 15.3 222s
20846 5303 0.79099 33 204 0.64586 0.79099 22.5% 15.5 225s
21076 5299 0.79099 37 195 0.64586 0.79099 22.5% 15.9 230s
21531 5283 0.74414 43 176 0.64586 0.78775 22.0% 16.9 235s
22214 5282 0.67401 70 79 0.64586 0.74710 15.7% 17.8 240s
H22292 5032 0.6458631 0.74319 15.1% 17.9 241s
22800 4994 0.73130 52 120 0.64586 0.73130 13.2% 18.6 245s
23442 4967 0.66163 60 95 0.64586 0.72571 12.4% 19.1 250s
24254 4901 0.66637 55 82 0.64586 0.71512 10.7% 19.7 255s
25569 4627 cutoff 46 0.64586 0.70156 8.62% 20.5 260s
26065 4428 infeasible 53 0.64586 0.69595 7.76% 20.8 265s
26991 4088 0.67003 61 78 0.64586 0.68763 6.47% 21.4 270s
27980 3669 infeasible 50 0.64586 0.67731 4.87% 21.8 276s
29113 3065 infeasible 61 0.64586 0.66778 3.39% 22.2 280s
Cutting planes:
Learned: 3
Gomory: 133
Cover: 18
Implied bound: 33
Projected implied bound: 39
Clique: 13
MIR: 169
StrongCG: 1
Flow cover: 562
Flow path: 6
Inf proof: 80
Explored 30689 nodes (687286 simplex iterations) in 284.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.645863 0.645863 0.645863
Optimal solution found (tolerance 1.00e-02)
Best objective 6.458631087054e-01, best bound 6.520999556288e-01, gap 0.9657%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd_lhu1j_.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm_11pxew.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.630986
Presolve removed 624 rows and 389 columns
Presolve time: 0.04s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.306085e+00, 1154 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30609 0 96 0.63099 1.30609 107% - 0s
0 0 1.25379 0 153 0.63099 1.25379 98.7% - 0s
0 0 1.25374 0 154 0.63099 1.25374 98.7% - 0s
0 0 1.24333 0 166 0.63099 1.24333 97.0% - 0s
0 0 1.24029 0 169 0.63099 1.24029 96.6% - 0s
0 0 1.23454 0 169 0.63099 1.23454 95.7% - 0s
0 0 1.23438 0 168 0.63099 1.23438 95.6% - 0s
0 0 1.23351 0 163 0.63099 1.23351 95.5% - 0s
0 0 1.23318 0 162 0.63099 1.23318 95.4% - 0s
0 0 1.22988 0 162 0.63099 1.22988 94.9% - 0s
0 0 1.22974 0 163 0.63099 1.22974 94.9% - 0s
0 0 1.22240 0 160 0.63099 1.22240 93.7% - 0s
0 0 1.22109 0 160 0.63099 1.22109 93.5% - 0s
0 0 1.21810 0 157 0.63099 1.21810 93.0% - 0s
0 0 1.21810 0 157 0.63099 1.21810 93.0% - 0s
0 0 1.21808 0 159 0.63099 1.21808 93.0% - 0s
0 0 1.21712 0 160 0.63099 1.21712 92.9% - 0s
0 0 1.21623 0 160 0.63099 1.21623 92.8% - 0s
0 0 1.21568 0 160 0.63099 1.21568 92.7% - 0s
0 0 1.21537 0 159 0.63099 1.21537 92.6% - 0s
0 0 1.21534 0 159 0.63099 1.21534 92.6% - 0s
0 0 1.21534 0 158 0.63099 1.21534 92.6% - 0s
0 0 1.21524 0 159 0.63099 1.21524 92.6% - 0s
0 0 1.21524 0 160 0.63099 1.21524 92.6% - 0s
0 0 1.21524 0 131 0.63099 1.21524 92.6% - 0s
0 2 1.21244 0 137 0.63099 1.21244 92.2% - 0s
817 560 0.78310 67 150 0.63099 1.12330 78.0% 12.3 5s
1743 831 0.96753 20 117 0.63099 1.03598 64.2% 19.7 10s
3723 1582 0.94444 21 119 0.63099 0.98444 56.0% 19.1 15s
6124 2234 infeasible 38 0.63099 0.92262 46.2% 17.4 20s
9952 3075 infeasible 40 0.63099 0.86171 36.6% 15.4 25s
12714 3560 0.80453 34 93 0.63099 0.83063 31.6% 15.7 30s
14843 3944 infeasible 41 0.63099 0.81899 29.8% 15.6 35s
17897 4396 0.66969 54 53 0.63099 0.79949 26.7% 15.5 40s
20993 4895 0.74574 38 131 0.63099 0.77879 23.4% 15.4 58s
21002 4901 0.75753 30 155 0.63099 0.77879 23.4% 15.4 60s
21007 4904 0.72331 48 166 0.63099 0.77879 23.4% 15.4 65s
21015 4910 0.70891 32 179 0.63099 0.77879 23.4% 15.4 70s
21023 4915 0.70808 62 181 0.63099 0.77879 23.4% 15.3 75s
21030 4920 0.71457 52 191 0.63099 0.77879 23.4% 15.3 80s
21040 4926 0.72434 59 206 0.63099 0.77879 23.4% 15.3 85s
21047 4931 0.67584 44 190 0.63099 0.77879 23.4% 15.3 90s
21056 4937 0.73154 33 210 0.63099 0.77879 23.4% 15.3 95s
21063 4942 0.69503 53 220 0.63099 0.77879 23.4% 15.3 100s
21070 4946 0.76911 47 206 0.63099 0.77879 23.4% 15.3 105s
21078 4952 0.67420 48 215 0.63099 0.77879 23.4% 15.3 110s
21084 4956 0.70478 60 217 0.63099 0.77879 23.4% 15.3 115s
21091 4960 0.74962 64 217 0.63099 0.77879 23.4% 15.3 120s
21099 4966 0.72928 70 222 0.63099 0.77879 23.4% 15.3 125s
21106 4970 0.76759 41 213 0.63099 0.77879 23.4% 15.3 130s
21113 4975 0.70229 50 224 0.63099 0.77879 23.4% 15.3 135s
21120 4980 0.70429 51 225 0.63099 0.77879 23.4% 15.3 141s
21127 4984 0.73773 40 225 0.63099 0.77879 23.4% 15.3 145s
21135 4990 0.77422 51 220 0.63099 0.77879 23.4% 15.3 150s
21142 4994 0.72127 49 227 0.63099 0.77879 23.4% 15.3 155s
21147 4998 0.67584 44 221 0.63099 0.77879 23.4% 15.3 160s
21154 5002 0.72286 36 228 0.63099 0.77879 23.4% 15.3 165s
21161 5007 0.67836 45 231 0.63099 0.77879 23.4% 15.2 170s
21169 5012 0.70556 59 230 0.63099 0.77879 23.4% 15.2 175s
21175 5016 0.74026 32 222 0.63099 0.77879 23.4% 15.2 180s
21183 5022 0.73619 70 222 0.63099 0.77879 23.4% 15.2 185s
21191 5027 0.74962 64 220 0.63099 0.77879 23.4% 15.2 190s
21198 5032 0.73372 47 222 0.63099 0.77879 23.4% 15.2 195s
21205 5036 0.77513 40 221 0.63099 0.77879 23.4% 15.2 200s
21213 5042 0.70229 50 230 0.63099 0.77879 23.4% 15.2 205s
21215 5045 0.77879 26 227 0.63099 0.77879 23.4% 17.0 211s
21217 5043 infeasible 27 0.63099 0.77879 23.4% 17.0 216s
21241 5047 0.76998 33 187 0.63099 0.77879 23.4% 17.4 220s
21381 5025 infeasible 61 0.63099 0.77879 23.4% 18.1 225s
21731 5017 0.69004 47 149 0.63099 0.76891 21.9% 19.2 230s
22001 5037 0.67649 48 148 0.63099 0.75037 18.9% 20.3 235s
22390 5027 0.67494 51 135 0.63099 0.74788 18.5% 21.8 240s
22796 5053 infeasible 52 0.63099 0.73071 15.8% 22.9 245s
23120 5021 infeasible 42 0.63099 0.72379 14.7% 24.1 250s
23512 5005 0.67863 41 143 0.63099 0.71433 13.2% 25.0 255s
24058 5035 0.66408 43 99 0.63099 0.70654 12.0% 25.9 261s
24429 4953 0.66931 45 140 0.63099 0.70031 11.0% 26.5 266s
25324 4848 0.66606 49 65 0.63099 0.69017 9.38% 27.3 270s
26247 4665 0.67447 49 103 0.63099 0.67878 7.57% 28.2 277s
26445 4572 0.64198 53 89 0.63099 0.67734 7.35% 28.3 280s
27711 4272 0.65630 46 126 0.63099 0.67032 6.23% 28.9 285s
28615 3986 0.66045 48 121 0.63099 0.66477 5.35% 29.1 290s
29894 3464 infeasible 62 0.63099 0.65987 4.58% 29.5 295s
30853 2969 cutoff 49 0.63099 0.65389 3.63% 29.9 300s
31854 2462 infeasible 55 0.63099 0.65004 3.02% 29.9 305s
33691 1246 infeasible 54 0.63099 0.64110 1.60% 30.0 310s
Cutting planes:
Learned: 4
Gomory: 141
Cover: 21
Implied bound: 39
Projected implied bound: 44
Clique: 8
MIR: 223
StrongCG: 6
Flow cover: 642
Flow path: 4
Inf proof: 107
Zero half: 1
Network: 3
Explored 34229 nodes (1026867 simplex iterations) in 311.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.630986
Optimal solution found (tolerance 1.00e-02)
Best objective 6.309860493273e-01, best bound 6.370895743081e-01, gap 0.9673%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph1788y7n.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxkqomhae.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.625292
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.277544e+00, 1180 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27754 0 103 0.62529 1.27754 104% - 0s
0 0 1.22871 0 156 0.62529 1.22871 96.5% - 0s
0 0 1.22746 0 158 0.62529 1.22746 96.3% - 0s
0 0 1.18903 0 162 0.62529 1.18903 90.2% - 0s
0 0 1.18680 0 163 0.62529 1.18680 89.8% - 0s
0 0 1.18076 0 169 0.62529 1.18076 88.8% - 0s
0 0 1.17650 0 168 0.62529 1.17650 88.2% - 0s
0 0 1.17544 0 167 0.62529 1.17544 88.0% - 0s
0 0 1.17544 0 167 0.62529 1.17544 88.0% - 0s
0 0 1.17171 0 167 0.62529 1.17171 87.4% - 0s
0 0 1.17165 0 167 0.62529 1.17165 87.4% - 0s
0 0 1.16798 0 164 0.62529 1.16798 86.8% - 0s
0 0 1.16665 0 167 0.62529 1.16665 86.6% - 0s
0 0 1.16091 0 169 0.62529 1.16091 85.7% - 0s
0 0 1.16086 0 166 0.62529 1.16086 85.7% - 0s
0 0 1.16074 0 166 0.62529 1.16074 85.6% - 0s
0 0 1.16071 0 165 0.62529 1.16071 85.6% - 0s
0 0 1.16070 0 165 0.62529 1.16070 85.6% - 0s
0 0 1.16070 0 131 0.62529 1.16070 85.6% - 0s
0 2 1.16070 0 127 0.62529 1.16070 85.6% - 0s
782 577 1.07866 11 158 0.62529 1.07866 72.5% 19.1 5s
2512 860 0.91887 35 118 0.62529 1.00110 60.1% 18.2 10s
5816 2391 infeasible 30 0.62529 0.94917 51.8% 16.1 15s
8398 2991 0.86859 31 123 0.62529 0.89761 43.5% 15.8 20s
12528 3796 infeasible 36 0.62529 0.83413 33.4% 13.6 25s
16773 4699 0.73991 43 95 0.62529 0.80418 28.6% 13.0 30s
20691 5410 0.64273 95 131 0.62529 0.78115 24.9% 12.7 51s
20702 5417 0.67579 53 211 0.62529 0.78115 24.9% 12.7 55s
20710 5423 0.67302 60 213 0.62529 0.78115 24.9% 12.7 60s
20718 5428 0.64617 60 219 0.62529 0.78115 24.9% 12.7 65s
20725 5433 0.68975 67 224 0.62529 0.78115 24.9% 12.7 70s
20732 5437 0.69048 52 236 0.62529 0.78115 24.9% 12.7 75s
20739 5442 0.65078 53 226 0.62529 0.78115 24.9% 12.6 81s
20744 5445 0.77726 49 236 0.62529 0.78115 24.9% 12.6 85s
20755 5453 0.75694 70 231 0.62529 0.78115 24.9% 12.6 90s
20760 5456 0.77445 46 223 0.62529 0.78115 24.9% 12.6 95s
20764 5459 0.72284 44 235 0.62529 0.78115 24.9% 12.6 100s
20769 5462 0.75170 72 235 0.62529 0.78115 24.9% 12.6 105s
20775 5466 0.68978 65 245 0.62529 0.78115 24.9% 12.6 110s
20781 5470 0.62635 86 242 0.62529 0.78115 24.9% 12.6 116s
20784 5472 0.66558 90 242 0.62529 0.78115 24.9% 12.6 120s
20790 5476 0.74751 56 235 0.62529 0.78115 24.9% 12.6 125s
20793 5478 0.74291 55 227 0.62529 0.78115 24.9% 12.6 130s
20798 5481 0.75972 60 225 0.62529 0.78115 24.9% 12.6 135s
20802 5484 0.67579 53 236 0.62529 0.78115 24.9% 12.6 140s
20808 5488 0.67080 50 232 0.62529 0.78115 24.9% 12.6 145s
20815 5493 0.65540 66 230 0.62529 0.78115 24.9% 12.6 151s
20819 5495 0.68542 72 231 0.62529 0.78115 24.9% 12.6 155s
20825 5499 0.68975 67 235 0.62529 0.78115 24.9% 12.6 160s
20832 5504 0.69048 52 230 0.62529 0.78115 24.9% 12.6 165s
20838 5508 0.67744 58 236 0.62529 0.78115 24.9% 12.6 170s
20842 5511 0.70019 61 237 0.62529 0.78115 24.9% 12.6 175s
20847 5514 0.76724 50 239 0.62529 0.78115 24.9% 12.6 180s
20849 5516 0.78115 22 233 0.62529 0.78115 24.9% 13.9 186s
20851 5517 0.78115 23 232 0.62529 0.78115 24.9% 13.9 191s
20905 5520 0.78115 32 203 0.62529 0.78115 24.9% 14.2 196s
H20907 5240 0.6252921 0.78115 24.9% 14.2 196s
21062 5231 infeasible 34 0.62529 0.78115 24.9% 14.9 200s
21483 5240 0.68114 53 123 0.62529 0.78115 24.9% 15.9 205s
22060 5276 infeasible 34 0.62529 0.77087 23.3% 16.9 210s
22387 5314 infeasible 53 0.62529 0.75867 21.3% 17.7 215s
22772 5295 0.70883 48 131 0.62529 0.75121 20.1% 18.7 220s
23107 5244 infeasible 38 0.62529 0.74093 18.5% 19.3 225s
23686 5192 0.67343 37 137 0.62529 0.73180 17.0% 20.5 230s
24362 5047 cutoff 47 0.62529 0.71823 14.9% 21.5 236s
24775 4956 infeasible 49 0.62529 0.71357 14.1% 22.0 240s
25410 4793 0.63241 62 81 0.62529 0.70585 12.9% 22.8 245s
25896 4734 0.69662 50 97 0.62529 0.69824 11.7% 23.4 250s
26720 4593 0.63832 57 88 0.62529 0.69154 10.6% 24.0 255s
*27306 4149 84 0.6252922 0.68544 9.62% 24.5 257s
27415 4127 cutoff 52 0.62529 0.68481 9.52% 24.5 260s
28253 3935 0.66148 36 143 0.62529 0.67825 8.47% 25.0 265s
29262 3739 infeasible 45 0.62529 0.67326 7.67% 25.3 270s
30128 3436 infeasible 46 0.62529 0.66430 6.24% 25.6 275s
31397 3012 infeasible 56 0.62529 0.65696 5.06% 25.7 280s
32970 2459 0.64816 55 35 0.62529 0.64966 3.90% 25.7 285s
34561 1813 infeasible 49 0.62529 0.64475 3.11% 25.6 290s
36067 1103 infeasible 50 0.62529 0.63973 2.31% 25.5 295s
37273 754 0.63503 53 23 0.62529 0.63581 1.68% 25.4 300s
Cutting planes:
Learned: 2
Gomory: 158
Cover: 8
Implied bound: 39
Projected implied bound: 44
Clique: 19
MIR: 243
StrongCG: 3
Flow cover: 619
Flow path: 3
Inf proof: 134
Explored 38233 nodes (967325 simplex iterations) in 302.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.625292 0.625292 0.625292
Optimal solution found (tolerance 1.00e-02)
Best objective 6.252920487892e-01, best bound 6.314101298564e-01, gap 0.9784%
Period 60
Run 0
Seed for training 956
Seed for simulation 874
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-54.38064342, 44.18899344, 25.50180468]])
fopt: 0.5923481791041975
fun: -0.5926102666176426
message: 'Optimization terminated successfully.'
nfev: 853
nit: 12
status: 0
success: True
x: array([ 81.24572675, 181.00052206, 117.00506059])
xopt: array([ 81., 181., 118.])
zopt: array([ 81., 262., 380.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdwcly61f.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiw3y_b0_.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.592348
Presolve removed 845 rows and 525 columns
Presolve time: 0.03s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 9.789964e-01, 1509 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97900 0 125 0.59235 0.97900 65.3% - 0s
0 0 0.96746 0 150 0.59235 0.96746 63.3% - 0s
0 0 0.96622 0 154 0.59235 0.96622 63.1% - 0s
0 0 0.95240 0 178 0.59235 0.95240 60.8% - 0s
0 0 0.95076 0 176 0.59235 0.95076 60.5% - 0s
0 0 0.94742 0 190 0.59235 0.94742 59.9% - 0s
0 0 0.94736 0 196 0.59235 0.94736 59.9% - 0s
0 0 0.94676 0 182 0.59235 0.94676 59.8% - 0s
0 0 0.94674 0 179 0.59235 0.94674 59.8% - 0s
0 0 0.94579 0 180 0.59235 0.94579 59.7% - 0s
0 0 0.94540 0 180 0.59235 0.94540 59.6% - 0s
0 0 0.94514 0 182 0.59235 0.94514 59.6% - 0s
0 0 0.94506 0 182 0.59235 0.94506 59.5% - 0s
0 0 0.94469 0 183 0.59235 0.94469 59.5% - 0s
0 0 0.94464 0 183 0.59235 0.94464 59.5% - 0s
0 0 0.94439 0 187 0.59235 0.94439 59.4% - 0s
0 0 0.94439 0 187 0.59235 0.94439 59.4% - 0s
0 0 0.94438 0 186 0.59235 0.94438 59.4% - 0s
0 0 0.94438 0 176 0.59235 0.94438 59.4% - 0s
0 2 0.94438 0 170 0.59235 0.94438 59.4% - 0s
740 501 0.88280 10 164 0.59235 0.90836 53.3% 20.7 5s
753 512 0.90836 12 173 0.59235 0.90836 53.3% 30.1 10s
H 1356 644 0.5939814 0.89704 51.0% 33.5 14s
1377 656 0.69609 46 153 0.59398 0.89704 51.0% 33.4 15s
2296 765 infeasible 20 0.59398 0.87736 47.7% 37.8 20s
H 2444 806 0.6475704 0.87464 35.1% 37.9 21s
2957 985 cutoff 30 0.64757 0.86789 34.0% 38.7 25s
4314 1353 0.75128 33 177 0.64757 0.84707 30.8% 37.6 31s
H 4326 1355 0.6475704 0.84707 30.8% 37.6 31s
5850 1846 infeasible 38 0.64757 0.83356 28.7% 33.3 35s
8048 2131 0.69366 65 144 0.64757 0.80660 24.6% 28.1 40s
9949 2555 infeasible 98 0.64757 0.79316 22.5% 25.6 45s
12312 3148 infeasible 53 0.64757 0.78241 20.8% 23.7 50s
14504 3391 0.69230 63 123 0.64757 0.77247 19.3% 22.3 55s
*15831 3647 155 0.6562444 0.76951 17.3% 21.3 56s
*15975 3708 146 0.6578743 0.76948 17.0% 21.2 56s
*16805 3918 136 0.6583048 0.76679 16.5% 20.7 58s
17647 4075 0.66164 126 35 0.65830 0.76399 16.1% 20.5 60s
*18736 4409 140 0.6587703 0.76141 15.6% 19.9 61s
*18737 4409 140 0.6588177 0.76141 15.6% 19.9 61s
*19024 4495 148 0.6588177 0.76127 15.6% 19.8 62s
*20106 4794 149 0.6596537 0.75866 15.0% 19.3 63s
*20427 4904 138 0.6596958 0.75866 15.0% 19.2 64s
20843 5083 0.68238 88 176 0.65970 0.75742 14.8% 19.0 88s
20847 5086 0.69480 87 219 0.65970 0.75742 14.8% 19.0 90s
20857 5092 0.66077 123 258 0.65970 0.75742 14.8% 19.0 97s
20861 5095 0.75199 74 254 0.65970 0.75742 14.8% 19.0 101s
20866 5098 0.74541 83 274 0.65970 0.75742 14.8% 19.0 105s
20869 5100 0.72896 88 268 0.65970 0.75742 14.8% 19.0 111s
20874 5104 0.73293 77 268 0.65970 0.75742 14.8% 18.9 116s
20878 5106 0.73760 65 252 0.65970 0.75742 14.8% 18.9 121s
20883 5110 0.73065 73 261 0.65970 0.75742 14.8% 18.9 126s
20886 5112 0.67146 110 271 0.65970 0.75742 14.8% 18.9 130s
20892 5116 0.67738 140 274 0.65970 0.75742 14.8% 18.9 135s
20895 5118 0.73172 60 274 0.65970 0.75742 14.8% 18.9 141s
20898 5120 0.73239 69 253 0.65970 0.75742 14.8% 18.9 145s
20905 5124 0.73575 80 271 0.65970 0.75742 14.8% 18.9 150s
20909 5127 0.75320 78 268 0.65970 0.75742 14.8% 18.9 155s
20914 5130 0.75114 61 271 0.65970 0.75742 14.8% 18.9 161s
20919 5134 0.68305 105 280 0.65970 0.75742 14.8% 18.9 165s
20923 5136 0.67139 115 274 0.65970 0.75742 14.8% 18.9 170s
20926 5138 0.71255 77 283 0.65970 0.75468 14.4% 18.9 176s
20929 5140 0.65982 116 281 0.65970 0.75388 14.3% 18.9 180s
Cutting planes:
Gomory: 100
Cover: 8
Implied bound: 30
Projected implied bound: 40
Clique: 18
MIR: 100
StrongCG: 2
Flow cover: 308
Flow path: 1
Inf proof: 19
Zero half: 2
Explored 20932 nodes (426804 simplex iterations) in 182.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.659696 0.659654 0.658818 ... 0.64757
Optimal solution found (tolerance 0.00e+00)
Warning: max constraint violation (1.4305e-06) exceeds tolerance
Best objective 6.596958091554e-01, best bound 6.596958091554e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_twa1qrz.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyjw56vvi.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.01s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.7449822e+02 1.081424e+04 0.000000e+00 0s
366 1.2580407e+01 0.000000e+00 0.000000e+00 0s
Solved in 366 iterations and 0.02 seconds
Optimal objective 1.258040657e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00425499, -0.01415822, -0.01415822]])
fopt: 1.0162427147183488
fun: -1.0188345949260202
message: 'Optimization terminated successfully.'
nfev: 133
nit: 2
status: 0
success: True
x: array([ 28.04783032, -87.99999978, -87.99999978])
xopt: array([28., 0., 0.])
zopt: array([28., 28., 28.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.50225209e-05, -2.29141334e-05, -2.29141334e-05]])
fopt: 0.5461530795910935
fun: -0.5483043984730018
message: 'Optimization terminated successfully.'
nfev: 160
nit: 2
status: 0
success: True
x: array([ 59.9947651, -87.9858239, -87.9958239])
xopt: array([60., 0., 0.])
zopt: array([60., 60., 60.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.33958382, 0.00834554, 0.38034608]])
fopt: 1.0315301086504873
fun: -1.0456894876883305
message: 'Optimization terminated successfully.'
nfev: 243
nit: 3
status: 0
success: True
x: array([ 81.0022908 , -0.99485838, -83.99740723])
xopt: array([81., 0., 0.])
zopt: array([81., 81., 81.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.90034348e-04, -1.91071572e-05, -3.02229193e-08]])
fopt: 0.8750608558571042
fun: -0.8810282625092
message: 'Optimization terminated successfully.'
nfev: 229
nit: 3
status: 0
success: True
x: array([95.86112704, -0.99466125, 1.01806158])
xopt: array([95., 0., 1.])
zopt: array([95., 95., 96.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.05909564e-09, -7.22606696e-11, -0.00000000e+00]])
fopt: 1.0645965855322614
fun: -1.0647199178734386
message: 'Optimization terminated successfully.'
nfev: 236
nit: 2
status: 0
success: True
x: array([111.83230255, 3.60796782, 1. ])
xopt: array([111., 3., 1.])
zopt: array([111., 114., 115.])
*******************************************
Period: 6
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., -0.]])
fopt: 1.1718744377103163
fun: -1.1716029621728938
message: 'Optimization terminated successfully.'
nfev: 164
nit: 2
status: 0
success: True
x: array([133.87773923, -0.82739414, 0.37212029])
xopt: array([133., 0., 0.])
zopt: array([133., 133., 133.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.70411763e-06, -4.99907008e-12, -2.16505988e-09]])
fopt: 1.1510803606337185
fun: -1.157467723182604
message: 'Optimization terminated successfully.'
nfev: 338
nit: 3
status: 0
success: True
x: array([155.26827626, 1.00010122, 1.05602338])
xopt: array([155., 1., 1.])
zopt: array([155., 156., 157.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.15456426e-04, -2.04016709e-13, -1.26152178e-07]])
fopt: 0.9809858835932199
fun: -0.9872983901194088
message: 'Optimization terminated successfully.'
nfev: 250
nit: 2
status: 0
success: True
x: array([155.00182735, 1.00000013, 1.09016981])
xopt: array([155., 1., 1.])
zopt: array([155., 156., 157.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1473
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.8183617236989748
fun: -0.8203768516713599
message: 'Optimization terminated successfully.'
nfev: 252
nit: 2
status: 0
success: True
x: array([218.19767063, 1.06504251, 1. ])
xopt: array([218., 1., 1.])
zopt: array([218., 219., 220.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.30987336e-07, 1.61174718e-14, 5.46842991e-10]])
fopt: 0.7444634985756031
fun: -0.7443188157255456
message: 'Optimization terminated successfully.'
nfev: 515
nit: 4
status: 0
success: True
x: array([240.53372123, 1.00002292, 2.0001787 ])
xopt: array([240., 1., 2.])
zopt: array([240., 241., 243.])
*******************************************
Period: 12
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.86358148e-01, -1.05773863e-06, -0.00000000e+00]])
fopt: 0.6805484831790332
fun: -0.6772243015261454
message: 'Optimization terminated successfully.'
nfev: 560
nit: 4
status: 0
success: True
x: array([262.93774108, 1.00053967, 1.00347717])
xopt: array([262., 1., 2.])
zopt: array([262., 263., 265.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ],
[-0. , -0.00398118, -0. ]])
fopt: 0.5956271286368608
fun: -0.5963878981826906
message: 'Optimization terminated successfully.'
nfev: 335
nit: 5
status: 0
success: True
x: array([264.56454273, 6.02313491, 3. ])
xopt: array([264., 7., 3.])
zopt: array([264., 271., 274.])
*******************************************
Period: 14
direc: array([[1.63948766e-02, 6.23253947e-05, 1.24650791e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.69073165e-01, 2.26203867e-04, 2.38973537e+01]])
fopt: 0.6187347803578181
fun: -0.6193538061774433
message: 'Optimization terminated successfully.'
nfev: 449
nit: 4
status: 0
success: True
x: array([264.238122 , 2.00027131, 29.178045 ])
xopt: array([264., 2., 29.])
zopt: array([264., 266., 295.])
*******************************************
Period: 15
direc: array([[-3.02983366e-05, -1.33208622e-07, -2.48305603e-07],
[-1.39331496e-03, 1.50025397e+01, 3.42511092e+01],
[ 2.67313262e-07, -1.00777421e+00, -6.57122894e-03]])
fopt: 0.5922122617510017
fun: -0.5899134263882133
message: 'Optimization terminated successfully.'
nfev: 546
nit: 6
status: 0
success: True
x: array([263.2467603 , 16.01550784, 39.37246113])
xopt: array([263., 16., 40.])
zopt: array([263., 279., 319.])
*******************************************
Period: 16
direc: array([[ 4.22331188e-02, 1.60360811e-04, 3.20721626e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.88263709e-02, -2.10196624e+01, 3.39238574e+01]])
fopt: 0.5048317829989264
fun: -0.7657680558595239
message: 'Optimization terminated successfully.'
nfev: 486
nit: 5
status: 0
success: True
x: array([272.65826193, -66.08120822, 113.08737522])
xopt: array([272., 0., 113.])
zopt: array([272., 272., 385.])
*******************************************
Period: 17
direc: array([[ 5.83383933e-03, 2.12712661e-05, 4.25425328e-05],
[ 5.76761580e-02, 1.44262876e+00, 2.20319043e+01],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.5379705145307561
fun: -0.5346707637524785
message: 'Optimization terminated successfully.'
nfev: 401
nit: 5
status: 0
success: True
x: array([275.47797893, 8.29847176, 85.41543061])
xopt: array([275., 8., 85.])
zopt: array([275., 283., 368.])
*******************************************
Period: 18
direc: array([[ 2.03868406e-04, 7.40194392e-07, 1.78653234e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.94269760e+01, 1.70274984e+01, 6.91752265e+01]])
fopt: 0.8276460542965234
fun: -0.8267389172720214
message: 'Optimization terminated successfully.'
nfev: 609
nit: 6
status: 0
success: True
x: array([167.41885216, 50. , 199.11664722])
xopt: array([167., 50., 199.])
zopt: array([167., 217., 416.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 16.20427472, 10.94443711]])
fopt: 0.23888103575070843
fun: -0.2391157789785027
message: 'Optimization terminated successfully.'
nfev: 461
nit: 6
status: 0
success: True
x: array([280.26285022, 22.10805793, 17.07634845])
xopt: array([280., 22., 18.])
zopt: array([280., 302., 320.])
*******************************************
Period: 20
direc: array([[-3.80253465e-07, -1.32638082e-09, -1.74089173e-09],
[-2.15093080e-06, 5.60000524e+00, 1.25078895e+01],
[-7.57048872e+01, 1.11335093e+02, 7.61255048e+01]])
fopt: 0.44990441602899084
fun: -0.4452027354185699
message: 'Optimization terminated successfully.'
nfev: 458
nit: 5
status: 0
success: True
x: array([205.80368183, 132.5250836 , 93.05820653])
xopt: array([205., 132., 94.])
zopt: array([205., 337., 431.])
*******************************************
Period: 21
direc: array([[ 7.59458135e-01, 2.60457709e-03, 5.21874727e-03],
[-2.08866641e+02, 7.00814696e+01, 6.95856401e+01],
[ 1.23594371e+00, 1.72011880e+02, -1.87853565e-01]])
fopt: 0.7744404886084566
fun: -0.7721953938452277
message: 'Optimization terminated successfully.'
nfev: 717
nit: 10
status: 0
success: True
x: array([ 80.58727854, 255.00068741, 90.06268481])
xopt: array([ 81., 255., 91.])
zopt: array([ 81., 336., 427.])
*******************************************
Period: 22
direc: array([[ 0. , 0. , 0. ],
[ 0. , -109.78073871, 107.13136754],
[ 0. , 0. , 104.10955651]])
fopt: 0.15820476657257734
fun: -0.7218917905498102
message: 'Optimization terminated successfully.'
nfev: 651
nit: 8
status: 0
success: True
x: array([ 315.76179937, -108.79019693, 220. ])
xopt: array([315., 0., 220.])
zopt: array([315., 315., 535.])
*******************************************
Period: 23
direc: array([[1.83870701e-01, 5.86175180e-04, 5.86175180e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.02436227e-02, 1.77071483e-05, 5.57607415e-02]])
fopt: 0.23337770785494358
fun: -0.23250193999721616
message: 'Optimization terminated successfully.'
nfev: 340
nit: 4
status: 0
success: True
x: array([314.8652962 , 2.00023601, 3.02188092])
xopt: array([314., 2., 4.])
zopt: array([314., 316., 320.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 98.3705928]])
fopt: 0.48331387274156273
fun: -0.480231349436573
message: 'Optimization terminated successfully.'
nfev: 483
nit: 6
status: 0
success: True
x: array([315.79511267, 2.3817279 , 103.00089386])
xopt: array([315., 2., 104.])
zopt: array([315., 317., 421.])
*******************************************
Period: 25
direc: array([[2.66355569e-01, 8.48984005e-04, 8.48984005e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.60347172e-01, 8.29862103e-04, 9.89875596e-01]])
fopt: 0.25441655313042344
fun: -0.25343931190946134
message: 'Optimization terminated successfully.'
nfev: 570
nit: 5
status: 0
success: True
x: array([314.86308661, 2.00000247, 4.0000675 ])
xopt: array([314., 2., 5.])
zopt: array([314., 316., 321.])
*******************************************
Period: 26
direc: array([[ 0. , -2.32795135, 1. ],
[ 0. , 0. , 0. ],
[ 0. , -89.10967483, 56.97062082]])
fopt: 0.38147312803049754
fun: -0.3332655627106217
message: 'Optimization terminated successfully.'
nfev: 484
nit: 6
status: 0
success: True
x: array([317.3356045 , -97.49666955, 64.00027386])
xopt: array([317., 0., 65.])
zopt: array([317., 317., 382.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -9.67084660e+01, 1.03366610e+02],
[-0.00000000e+00, 5.60048680e-06, 4.16701991e-08]])
fopt: 0.18280421725877125
fun: -0.7719476786702365
message: 'Optimization terminated successfully.'
nfev: 726
nit: 9
status: 0
success: True
x: array([ 317.89642867, -109. , 219.00110213])
xopt: array([317., 0., 219.])
zopt: array([317., 317., 536.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , -2.37312293, 1. ],
[ 0. , -94.38566373, 85.04669367]])
fopt: 0.4650752008327622
fun: -0.4336336697791155
message: 'Optimization terminated successfully.'
nfev: 523
nit: 6
status: 0
success: True
x: array([317.54542943, -98.99771874, 91.01210249])
xopt: array([318., 0., 92.])
zopt: array([318., 318., 410.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 100.58722204],
[ 0. , -82.99997553, 97.50014486]])
fopt: 0.18970123380203874
fun: -0.762253539629723
message: 'Optimization terminated successfully.'
nfev: 507
nit: 7
status: 0
success: True
x: array([ 315.9156269 , -108.20062734, 218.00000527])
xopt: array([315., 0., 218.])
zopt: array([315., 315., 533.])
*******************************************
Period: 30
direc: array([[ 0. , 0. , 0. ],
[ 0. , -1.01714182, 0.95092782],
[ 0. , -2.06924086, 0.99997441]])
fopt: 0.29904240988280034
fun: -0.29483855624663957
message: 'Optimization terminated successfully.'
nfev: 563
nit: 7
status: 0
success: True
x: array([317.08687252, -9.41635439, 8.00000947])
xopt: array([317., 0., 9.])
zopt: array([317., 317., 326.])
*******************************************
Period: 31
direc: array([[-4.71954067, 0. , 4.16330096],
[ 0. , 1. , 0. ],
[ 0.63950427, -1.34609685, 68.07871028]])
fopt: 0.8076580794641809
fun: -0.8089385260643189
message: 'Optimization terminated successfully.'
nfev: 437
nit: 6
status: 0
success: True
x: array([207.55569736, -0.5805709 , 218.00175672])
xopt: array([207., 0., 218.])
zopt: array([207., 207., 425.])
*******************************************
Period: 32
direc: array([[1.18042469e-08, 3.72933731e-11, 7.46514602e-11],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.98683283e-08, 2.31490874e+01, 4.64761537e+01]])
fopt: 0.44755608613847897
fun: -0.44636120606548274
message: 'Optimization terminated successfully.'
nfev: 405
nit: 5
status: 0
success: True
x: array([317.52398154, 35.26965268, 68.08211558])
xopt: array([317., 35., 69.])
zopt: array([317., 352., 421.])
*******************************************
Period: 33
direc: array([[-1.26721103e+02, -1.89615917e+01, 1.13444183e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.18632960e-01, 4.50605667e+00, 1.30626131e+01]])
fopt: 0.8236909394181132
fun: -0.821632100643627
message: 'Optimization terminated successfully.'
nfev: 470
nit: 7
status: 0
success: True
x: array([157.83537749, 50.00407036, 209.00006993])
xopt: array([157., 50., 210.])
zopt: array([157., 207., 417.])
*******************************************
Period: 34
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.01369990e+00, -1.72432613e-03, 2.00000003e+00]])
fopt: 0.7901632185458121
fun: -0.7923275880674614
message: 'Optimization terminated successfully.'
nfev: 455
nit: 7
status: 0
success: True
x: array([2.04994733e+02, 5.84041007e-03, 2.19082200e+02])
xopt: array([204., 1., 219.])
zopt: array([204., 205., 424.])
*******************************************
Period: 35
direc: array([[-2.03554046e+02, -2.30916097e-04, 1.81154432e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, -1.50665581e-01]])
fopt: 0.791856543794553
fun: -0.7944779522366934
message: 'Optimization terminated successfully.'
nfev: 914
nit: 10
status: 0
success: True
x: array([203.05017437, 3.02006477, 218.00029013])
xopt: array([203., 3., 218.])
zopt: array([203., 206., 424.])
*******************************************
Period: 36
direc: array([[ -0.67690899, 1.05094519, 1.05094519],
[ 0. , 1. , 0. ],
[-319.1986771 , 177.52134526, 177.52134526]])
fopt: 0.8837577768925315
fun: -0.8829998185280072
message: 'Optimization terminated successfully.'
nfev: 788
nit: 9
status: 0
success: True
x: array([ 79.76923153, 162. , 177.1238699 ])
xopt: array([ 79., 162., 178.])
zopt: array([ 79., 241., 419.])
*******************************************
Period: 37
direc: array([[ 0. , 0. , 1. ],
[-327.67100647, 162.7704022 , 161.14269817],
[ 0. , -1.01248461, 1.02524746]])
fopt: 0.8585710354685949
fun: -0.8583169314523049
message: 'Optimization terminated successfully.'
nfev: 1203
nit: 14
status: 0
success: True
x: array([ 78.32902709, 165. , 178.00001111])
xopt: array([ 78., 165., 178.])
zopt: array([ 78., 243., 421.])
*******************************************
Period: 38
direc: array([[-2.34378444e+00, -3.66907493e-05, 2.32057869e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.27354096e-05, 1.20390098e-07, 3.22385491e-12]])
fopt: 0.6282661609388233
fun: -0.6269821478905266
message: 'Optimization terminated successfully.'
nfev: 473
nit: 6
status: 0
success: True
x: array([220.21909706, -1.17031668, 161.01114751])
xopt: array([220., 0., 162.])
zopt: array([220., 220., 382.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.42816158, 0.35089633, 20.05559643]])
fopt: 0.729233879204507
fun: -0.7293178883682654
message: 'Optimization terminated successfully.'
nfev: 472
nit: 6
status: 0
success: True
x: array([202.59260858, 3.35011397, 218.27971217])
xopt: array([202., 3., 219.])
zopt: array([202., 205., 424.])
*******************************************
Period: 40
direc: array([[ -3.97894756, 0. , 2. ],
[-81.14458472, 10.98254523, 67.72015937],
[ -7.59777288, 6.11291604, 3.66994425]])
fopt: 0.8524072912084577
fun: -0.8514095631146763
message: 'Optimization terminated successfully.'
nfev: 1033
nit: 14
status: 0
success: True
x: array([ 80.00075798, 124. , 224.58753227])
xopt: array([ 80., 124., 224.])
zopt: array([ 80., 204., 428.])
*******************************************
Period: 41
direc: array([[ 2.56592621e+00, 7.91911254e+01, 1.12589974e+01],
[-1.27641919e+01, 4.98899241e+00, 4.97262477e+00],
[-7.60654745e-09, 3.32252019e-09, -4.93075765e-07]])
fopt: 0.7789323375643585
fun: -0.7788060903747125
message: 'Optimization terminated successfully.'
nfev: 567
nit: 8
status: 0
success: True
x: array([ 76.14222342, 205.01137587, 133.00000001])
xopt: array([ 76., 205., 134.])
zopt: array([ 76., 281., 415.])
*******************************************
Period: 42
direc: array([[-0. , 0. , 0. ],
[-0.74051061, 0. , 0. ],
[-1.82564285, 1.87510665, 0. ]])
fopt: 0.32954245506618773
fun: -0.32974062170159224
message: 'Optimization terminated successfully.'
nfev: 510
nit: 7
status: 0
success: True
x: array([401.21478469, 8.00859033, 3. ])
xopt: array([401., 9., 3.])
zopt: array([401., 410., 413.])
*******************************************
Period: 43
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.01494167e+01, 6.00000008e+00, 4.00000005e+00],
[ 1.13086049e-10, -3.01526224e-07, 1.20578362e-17]])
fopt: 0.7609841181353937
fun: -0.7568618815593836
message: 'Optimization terminated successfully.'
nfev: 485
nit: 7
status: 0
success: True
x: array([ 81.17918572, 197.00001728, 130.56343603])
xopt: array([ 81., 198., 131.])
zopt: array([ 81., 279., 410.])
*******************************************
Period: 44
direc: array([[-7.47780394e-06, 6.90708915e-05, 6.90708915e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.15791156e+02, 3.15789047e+02, 7.01197236e-14]])
fopt: 0.6515139671632898
fun: -0.652239733377763
message: 'Optimization terminated successfully.'
nfev: 774
nit: 9
status: 0
success: True
x: array([ 82.24076613, 330.00000063, 3.00003319])
xopt: array([ 82., 330., 3.])
zopt: array([ 82., 412., 415.])
*******************************************
Period: 45
direc: array([[ -0.60137855, 1. , 1. ],
[ 0. , 1. , 0. ],
[-317.41935511, 208.40947338, 138.93964892]])
fopt: 0.7452340573809465
fun: -0.7443945596129793
message: 'Optimization terminated successfully.'
nfev: 468
nit: 7
status: 0
success: True
x: array([ 80.63386942, 198.00000089, 136.31911113])
xopt: array([ 81., 198., 137.])
zopt: array([ 81., 279., 416.])
*******************************************
Period: 46
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-261.15333059, 170.95421949, 148.19477729]])
fopt: 0.7840072874477578
fun: -0.7827020175275661
message: 'Optimization terminated successfully.'
nfev: 469
nit: 7
status: 0
success: True
x: array([ 81.00000002, 148. , 185.67899121])
xopt: array([ 81., 148., 186.])
zopt: array([ 81., 229., 415.])
*******************************************
Period: 47
direc: array([[-2.30928147e+02, 9.79287293e+01, 1.69552901e+02],
[ 2.86859479e-05, -6.62802161e-05, -2.02289733e-05],
[-1.97583578e+00, 4.88406254e-02, -1.72366022e+00]])
fopt: 0.7957202576386971
fun: -0.7921306992393875
message: 'Optimization terminated successfully.'
nfev: 887
nit: 14
status: 0
success: True
x: array([ 80.99923712, 120.00005366, 219.76564237])
xopt: array([ 81., 121., 219.])
zopt: array([ 81., 202., 421.])
*******************************************
Period: 48
direc: array([[-48.01691368, 0. , 75.95470304],
[ 0. , 1. , 0. ],
[ -0.99999998, 1. , 0. ]])
fopt: 0.6837229509018956
fun: -0.6845412430611004
message: 'Optimization terminated successfully.'
nfev: 1145
nit: 14
status: 0
success: True
x: array([194.95817845, 12.00000204, 219.073208 ])
xopt: array([194., 12., 219.])
zopt: array([194., 206., 425.])
*******************************************
Period: 49
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.25651508e+02, 7.70978908e+01, 5.13985939e+01],
[-6.94448873e-03, 7.02973392e+00, 0.00000000e+00]])
fopt: 0.7028147530787228
fun: -0.7016201669532087
message: 'Optimization terminated successfully.'
nfev: 937
nit: 12
status: 0
success: True
x: array([ 80.99359015, 240.03383362, 92.43215014])
xopt: array([ 81., 240., 93.])
zopt: array([ 81., 321., 414.])
*******************************************
Period: 50
direc: array([[-2.53646914, 0. , 3.00747599],
[ 0. , 1. , 0. ],
[-0.13302475, 0.01054718, -0.54694633]])
fopt: 0.6681890199180543
fun: -0.670074126933444
message: 'Optimization terminated successfully.'
nfev: 498
nit: 6
status: 0
success: True
x: array([206.45177444, 1.01054706, 218.14074881])
xopt: array([206., 1., 218.])
zopt: array([206., 207., 425.])
*******************************************
Period: 51
direc: array([[-2.39606315, 1.19080977, 1.19080977],
[ 0. , 1. , 0. ],
[-0. , 0. , 0. ]])
fopt: 0.35091678726195574
fun: -0.3504771893781118
message: 'Optimization terminated successfully.'
nfev: 426
nit: 5
status: 0
success: True
x: array([404.59271312, 5.19081118, 6.26963957])
xopt: array([404., 5., 7.])
zopt: array([404., 409., 416.])
*******************************************
Period: 52
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-8.27332520e+00, 2.03764702e+00, 6.05645324e+00],
[-5.84366941e-08, -1.29144815e-04, -6.16623512e-05]])
fopt: 0.6976954818544217
fun: -0.6971251882362445
message: 'Optimization terminated successfully.'
nfev: 1120
nit: 16
status: 0
success: True
x: array([126.37793656, 79.01976871, 219. ])
xopt: array([126., 80., 219.])
zopt: array([126., 206., 425.])
*******************************************
Period: 53
direc: array([[-2.56572445e+00, 3.06836200e+00, 5.69614969e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.48039319e-05, -0.00000000e+00, -7.35458269e-05]])
fopt: 0.6545197834307427
fun: -0.6561327921454712
message: 'Optimization terminated successfully.'
nfev: 665
nit: 8
status: 0
success: True
x: array([200.27206787, 6.00549735, 219.00125764])
xopt: array([200., 6., 219.])
zopt: array([200., 206., 425.])
*******************************************
Period: 54
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-319.65132989, 181.4544654 , 181.32038377]])
fopt: 0.7374009499793335
fun: -0.7368063173679362
message: 'Optimization terminated successfully.'
nfev: 423
nit: 6
status: 0
success: True
x: array([ 80.9999804 , 147. , 186.35247571])
xopt: array([ 81., 147., 187.])
zopt: array([ 81., 228., 415.])
*******************************************
Period: 55
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.69385901e+02, 1.45083245e+02, 9.31098415e+01],
[-4.64043639e-01, 2.87848427e+01, -1.23143446e-07]])
fopt: 0.6812388118116666
fun: -0.6793790321525249
message: 'Optimization terminated successfully.'
nfev: 713
nit: 10
status: 0
success: True
x: array([ 81.0033093 , 214.00000025, 116.07056032])
xopt: array([ 81., 215., 117.])
zopt: array([ 81., 296., 413.])
*******************************************
Period: 56
direc: array([[ 0. , 0. , -0. ],
[ 0. , 1. , 0. ],
[-55.76691728, 57.35881899, 38.61784876]])
fopt: 0.6511693350574657
fun: -0.649328164003171
message: 'Optimization terminated successfully.'
nfev: 823
nit: 11
status: 0
success: True
x: array([156.97178733, 62.0001461 , 204.6143659 ])
xopt: array([156., 63., 205.])
zopt: array([156., 219., 424.])
*******************************************
Period: 57
direc: array([[ 0. , 0. , 1. ],
[-16.80563061, 6.01060361, 9.01586767],
[ 0.08620222, 21.03183084, 9.21261071]])
fopt: 0.7157228757114776
fun: -0.715048174185696
message: 'Optimization terminated successfully.'
nfev: 619
nit: 8
status: 0
success: True
x: array([ 79.03453398, 146. , 195.00000947])
xopt: array([ 80., 146., 195.])
zopt: array([ 80., 226., 421.])
*******************************************
Period: 58
direc: array([[ -1.15486172, 1.023982 , 1.023982 ],
[ 0. , 1. , 0. ],
[-69.57134049, 44.30357456, 44.53558493]])
fopt: 0.7130328792845133
fun: -0.7129933973967851
message: 'Optimization terminated successfully.'
nfev: 468
nit: 7
status: 0
success: True
x: array([ 81.01597742, 137. , 209.0058769 ])
xopt: array([ 81., 137., 209.])
zopt: array([ 81., 218., 427.])
*******************************************
Period: 59
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.11466386e+02, 1.81702074e+02, 1.04248057e+02],
[-2.29316124e-01, 2.41150027e+01, -8.12719868e-02]])
fopt: 0.6406173774758801
fun: -0.6400333331710428
message: 'Optimization terminated successfully.'
nfev: 555
nit: 8
status: 0
success: True
x: array([ 81.13459937, 227.03551454, 113.89899896])
xopt: array([ 81., 227., 113.])
zopt: array([ 81., 308., 421.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyrvxg9vf.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoxdh626s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.729517
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.01624 0.729517
Optimal solution found (tolerance 1.00e-02)
Best objective 1.016242714718e+00, best bound 1.016242714718e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwm1_lj1t.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8pzrgypf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.480056
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 5.461531e-01, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 0.5461531 0.54615 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.546153 0.480056
Optimal solution found (tolerance 1.00e-02)
Best objective 5.461530795911e-01, best bound 5.461530795911e-01, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2smqv2yj.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpykojndg9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective -0.116181
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 1.464852e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46485 0 6 -0.11618 1.46485 1361% - 0s
H 0 0 1.0315301 1.46485 42.0% - 0s
0 0 cutoff 0 1.03153 1.03153 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.03153 -0.116181
Optimal solution found (tolerance 1.00e-02)
Best objective 1.031530108650e+00, best bound 1.031530108650e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5gs86j38.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpof5fup3k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.66847
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 1.282099e+00, 22 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28210 0 4 0.66847 1.28210 91.8% - 0s
H 0 0 0.8752877 1.28210 46.5% - 0s
0 0 cutoff 0 0.87529 0.87529 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow cover: 1
Explored 1 nodes (25 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.875288 0.66847
Optimal solution found (tolerance 1.00e-02)
Best objective 8.752876957488e-01, best bound 8.752876957488e-01, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp30xlu5xx.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp58ji1ew.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.568735
Presolve removed 120 rows and 82 columns
Presolve time: 0.00s
Presolved: 117 rows, 93 columns, 412 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 1.821967e+00, 70 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82197 0 6 0.56874 1.82197 220% - 0s
H 0 0 1.3040735 1.82197 39.7% - 0s
0 0 1.35918 0 1 1.30407 1.35918 4.23% - 0s
0 0 cutoff 0 1.30407 1.30407 0.00% - 0s
Cutting planes:
Gomory: 2
Clique: 1
Flow cover: 6
Explored 1 nodes (97 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.30407 0.568735
Optimal solution found (tolerance 1.00e-02)
Best objective 1.304073501540e+00, best bound 1.304073501540e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdwi94jyj.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp86_8ze11.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.94687
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 3.093380e+00, 93 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 3.09338 0 10 0.94687 3.09338 227% - 0s
0 0 2.60378 0 6 0.94687 2.60378 175% - 0s
0 0 2.55546 0 12 0.94687 2.55546 170% - 0s
0 0 2.52410 0 12 0.94687 2.52410 167% - 0s
0 0 2.36897 0 9 0.94687 2.36897 150% - 0s
0 0 2.31301 0 9 0.94687 2.31301 144% - 0s
0 0 2.31063 0 9 0.94687 2.31063 144% - 0s
0 0 2.24454 0 10 0.94687 2.24454 137% - 0s
0 0 2.23460 0 9 0.94687 2.23460 136% - 0s
0 0 2.23460 0 9 0.94687 2.23460 136% - 0s
0 0 2.22803 0 10 0.94687 2.22803 135% - 0s
H 0 0 0.9954138 2.22803 124% - 0s
0 0 2.20908 0 10 0.99541 2.20908 122% - 0s
0 0 2.20727 0 10 0.99541 2.20727 122% - 0s
0 0 2.20690 0 10 0.99541 2.20690 122% - 0s
0 0 2.20652 0 12 0.99541 2.20652 122% - 0s
0 0 2.20652 0 12 0.99541 2.20652 122% - 0s
0 2 2.20652 0 12 0.99541 2.20652 122% - 0s
H 8 7 1.1013142 1.58814 44.2% 6.6 0s
H 9 7 1.5296473 1.58814 3.82% 6.0 0s
* 11 0 4 1.5296475 1.58814 3.82% 6.0 0s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 5
MIR: 2
Flow cover: 8
Explored 14 nodes (301 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.52965 1.52965 1.10131 ... 0.94687
Optimal solution found (tolerance 1.00e-02)
Best objective 1.529647536607e+00, best bound 1.529647536607e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx2hg4gwc.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9bbxktaa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21324
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.980236e+00, 111 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.98024 0 12 1.21324 2.98024 146% - 0s
0 0 2.44390 0 12 1.21324 2.44390 101% - 0s
0 0 2.44086 0 12 1.21324 2.44086 101% - 0s
0 0 2.42164 0 11 1.21324 2.42164 100% - 0s
0 0 2.42164 0 12 1.21324 2.42164 100% - 0s
0 0 2.29821 0 16 1.21324 2.29821 89.4% - 0s
0 0 2.29043 0 17 1.21324 2.29043 88.8% - 0s
0 0 2.28416 0 17 1.21324 2.28416 88.3% - 0s
0 0 2.20302 0 17 1.21324 2.20302 81.6% - 0s
0 0 2.20302 0 17 1.21324 2.20302 81.6% - 0s
0 0 2.20302 0 17 1.21324 2.20302 81.6% - 0s
H 0 0 1.5604662 2.20302 41.2% - 0s
0 2 2.20302 0 15 1.56047 2.20302 41.2% - 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 5
MIR: 4
Flow cover: 11
Explored 31 nodes (420 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.56047 1.21324
Optimal solution found (tolerance 1.00e-02)
Best objective 1.560466206653e+00, best bound 1.564408736775e+00, gap 0.2527%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzharjyrz.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfi3iz4zu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3392
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.661501e+00, 143 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.66150 0 14 1.33920 2.66150 98.7% - 0s
0 0 2.28670 0 24 1.33920 2.28670 70.8% - 0s
0 0 2.28165 0 23 1.33920 2.28165 70.4% - 0s
0 0 2.05746 0 20 1.33920 2.05746 53.6% - 0s
0 0 2.05727 0 20 1.33920 2.05727 53.6% - 0s
0 0 2.03716 0 22 1.33920 2.03716 52.1% - 0s
0 0 2.03716 0 23 1.33920 2.03716 52.1% - 0s
0 0 2.01901 0 18 1.33920 2.01901 50.8% - 0s
0 0 2.01901 0 19 1.33920 2.01901 50.8% - 0s
0 0 1.98037 0 18 1.33920 1.98037 47.9% - 0s
0 0 1.97645 0 19 1.33920 1.97645 47.6% - 0s
0 0 1.97645 0 20 1.33920 1.97645 47.6% - 0s
0 0 1.95965 0 19 1.33920 1.95965 46.3% - 0s
0 0 1.95965 0 19 1.33920 1.95965 46.3% - 0s
0 0 1.95778 0 19 1.33920 1.95778 46.2% - 0s
0 0 1.95778 0 13 1.33920 1.95778 46.2% - 0s
H 0 0 1.3534298 1.95778 44.7% - 0s
0 2 1.95778 0 13 1.35343 1.95778 44.7% - 0s
* 22 1 8 1.3784692 1.47597 7.07% 5.3 0s
Cutting planes:
Gomory: 5
Cover: 3
Implied bound: 5
MIR: 4
Flow cover: 16
Explored 29 nodes (496 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.37847 1.35343 1.3392
Optimal solution found (tolerance 1.00e-02)
Best objective 1.378469203543e+00, best bound 1.378469203543e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpemagkt6w.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3od8f07w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1331
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.725716e+00, 176 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.72572 0 16 1.13310 2.72572 141% - 0s
0 0 2.33033 0 29 1.13310 2.33033 106% - 0s
0 0 2.14445 0 21 1.13310 2.14445 89.3% - 0s
0 0 2.13814 0 22 1.13310 2.13814 88.7% - 0s
0 0 2.06244 0 22 1.13310 2.06244 82.0% - 0s
0 0 2.04936 0 23 1.13310 2.04936 80.9% - 0s
0 0 2.04931 0 23 1.13310 2.04931 80.9% - 0s
0 0 2.03704 0 22 1.13310 2.03704 79.8% - 0s
0 0 2.03702 0 23 1.13310 2.03702 79.8% - 0s
0 0 2.03580 0 23 1.13310 2.03580 79.7% - 0s
0 0 2.03580 0 23 1.13310 2.03580 79.7% - 0s
H 0 0 1.3034032 2.03580 56.2% - 0s
0 2 2.03580 0 23 1.30340 2.03580 56.2% - 0s
* 38 16 15 1.3034033 1.82538 40.0% 6.9 0s
Cutting planes:
Gomory: 8
Cover: 2
Implied bound: 5
MIR: 3
Flow cover: 19
Explored 179 nodes (1270 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.3034 1.3034 1.1331
Optimal solution found (tolerance 1.00e-02)
Best objective 1.303403306633e+00, best bound 1.303403306633e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzaypnsgs.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyokwgr6b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10215
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.754257e+00, 201 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.75426 0 17 1.10215 2.75426 150% - 0s
0 0 2.66635 0 18 1.10215 2.66635 142% - 0s
0 0 2.65161 0 19 1.10215 2.65161 141% - 0s
0 0 2.47723 0 28 1.10215 2.47723 125% - 0s
0 0 2.47566 0 26 1.10215 2.47566 125% - 0s
0 0 2.43573 0 27 1.10215 2.43573 121% - 0s
0 0 2.43200 0 28 1.10215 2.43200 121% - 0s
0 0 2.43200 0 28 1.10215 2.43200 121% - 0s
0 0 2.39997 0 29 1.10215 2.39997 118% - 0s
0 0 2.39997 0 30 1.10215 2.39997 118% - 0s
0 0 2.39937 0 32 1.10215 2.39937 118% - 0s
0 0 2.39937 0 32 1.10215 2.39937 118% - 0s
0 0 2.39899 0 34 1.10215 2.39899 118% - 0s
0 0 2.39899 0 30 1.10215 2.39899 118% - 0s
0 2 2.39899 0 25 1.10215 2.39899 118% - 0s
* 54 12 18 1.3283257 1.81694 36.8% 6.8 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 9
MIR: 4
Flow cover: 19
Explored 101 nodes (1171 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32833 1.10215
Optimal solution found (tolerance 1.00e-02)
Best objective 1.328325658265e+00, best bound 1.328325658265e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp69wn4uhd.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplgjgrvfg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16124
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.666768e+00, 215 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.66677 0 19 1.16124 2.66677 130% - 0s
0 0 2.52442 0 23 1.16124 2.52442 117% - 0s
0 0 2.51330 0 22 1.16124 2.51330 116% - 0s
0 0 2.46024 0 33 1.16124 2.46024 112% - 0s
0 0 2.40708 0 25 1.16124 2.40708 107% - 0s
0 0 2.37763 0 29 1.16124 2.37763 105% - 0s
0 0 2.37635 0 29 1.16124 2.37635 105% - 0s
0 0 2.37587 0 29 1.16124 2.37587 105% - 0s
0 0 2.37587 0 29 1.16124 2.37587 105% - 0s
0 0 2.33710 0 33 1.16124 2.33710 101% - 0s
0 0 2.33702 0 33 1.16124 2.33702 101% - 0s
0 0 2.31803 0 32 1.16124 2.31803 100% - 0s
0 0 2.30888 0 33 1.16124 2.30888 98.8% - 0s
0 0 2.30888 0 33 1.16124 2.30888 98.8% - 0s
0 0 2.30439 0 33 1.16124 2.30439 98.4% - 0s
0 0 2.30439 0 33 1.16124 2.30439 98.4% - 0s
0 0 2.30381 0 33 1.16124 2.30381 98.4% - 0s
0 0 2.30381 0 33 1.16124 2.30381 98.4% - 0s
0 0 2.30182 0 33 1.16124 2.30182 98.2% - 0s
0 0 2.30096 0 33 1.16124 2.30096 98.1% - 0s
0 0 2.29806 0 32 1.16124 2.29806 97.9% - 0s
0 0 2.29806 0 33 1.16124 2.29806 97.9% - 0s
0 0 2.29806 0 34 1.16124 2.29806 97.9% - 0s
0 0 2.29806 0 34 1.16124 2.29806 97.9% - 0s
0 0 2.29806 0 34 1.16124 2.29806 97.9% - 0s
0 2 2.29806 0 34 1.16124 2.29806 97.9% - 0s
* 81 26 23 1.3281585 1.75819 32.4% 8.2 0s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 9
MIR: 11
Flow cover: 21
Explored 172 nodes (1785 simplex iterations) in 0.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32816 1.16124
Optimal solution found (tolerance 1.00e-02)
Best objective 1.328158524749e+00, best bound 1.328158524749e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb45vb37a.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqe482p8r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14321
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.691155e+00, 253 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.69115 0 25 1.14321 2.69115 135% - 0s
0 0 2.35585 0 27 1.14321 2.35585 106% - 0s
0 0 2.35585 0 27 1.14321 2.35585 106% - 0s
0 0 2.25586 0 28 1.14321 2.25586 97.3% - 0s
0 0 2.24958 0 30 1.14321 2.24958 96.8% - 0s
0 0 2.24948 0 30 1.14321 2.24948 96.8% - 0s
0 0 2.20798 0 31 1.14321 2.20798 93.1% - 0s
0 0 2.20798 0 31 1.14321 2.20798 93.1% - 0s
0 0 2.19021 0 30 1.14321 2.19021 91.6% - 0s
0 0 2.19021 0 31 1.14321 2.19021 91.6% - 0s
0 0 2.17880 0 34 1.14321 2.17880 90.6% - 0s
0 0 2.17769 0 36 1.14321 2.17769 90.5% - 0s
0 0 2.17704 0 36 1.14321 2.17704 90.4% - 0s
0 0 2.17704 0 37 1.14321 2.17704 90.4% - 0s
0 0 2.17695 0 40 1.14321 2.17695 90.4% - 0s
0 0 2.17695 0 35 1.14321 2.17695 90.4% - 0s
0 2 2.17695 0 35 1.14321 2.17695 90.4% - 0s
* 157 67 24 1.3409098 1.75837 31.1% 6.2 0s
* 284 72 22 1.4046147 1.68812 20.2% 6.1 0s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 16
MIR: 7
Flow cover: 22
Inf proof: 5
Explored 517 nodes (3326 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.40461 1.34091 1.14321
Optimal solution found (tolerance 1.00e-02)
Best objective 1.404614670428e+00, best bound 1.404614670428e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2xb923a7.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq2jqd5_1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2577
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.555218e+00, 283 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.55522 0 26 1.25770 2.55522 103% - 0s
0 0 2.22177 0 17 1.25770 2.22177 76.7% - 0s
0 0 2.21271 0 24 1.25770 2.21271 75.9% - 0s
0 0 2.21224 0 24 1.25770 2.21224 75.9% - 0s
0 0 2.14748 0 36 1.25770 2.14748 70.7% - 0s
0 0 2.14696 0 37 1.25770 2.14696 70.7% - 0s
0 0 2.13834 0 41 1.25770 2.13834 70.0% - 0s
0 0 2.13824 0 41 1.25770 2.13824 70.0% - 0s
0 0 2.11536 0 40 1.25770 2.11536 68.2% - 0s
0 0 2.11254 0 38 1.25770 2.11254 68.0% - 0s
0 0 2.11254 0 39 1.25770 2.11254 68.0% - 0s
0 0 2.08221 0 45 1.25770 2.08221 65.6% - 0s
0 0 2.08207 0 45 1.25770 2.08207 65.5% - 0s
0 0 2.07167 0 41 1.25770 2.07167 64.7% - 0s
0 0 2.07061 0 41 1.25770 2.07061 64.6% - 0s
0 0 2.07061 0 41 1.25770 2.07061 64.6% - 0s
0 0 2.07039 0 44 1.25770 2.07039 64.6% - 0s
0 0 2.07039 0 44 1.25770 2.07039 64.6% - 0s
0 2 2.07039 0 44 1.25770 2.07039 64.6% - 0s
* 100 31 34 1.3218678 1.84544 39.6% 7.8 0s
* 320 0 30 1.3351263 1.43435 7.43% 7.4 0s
Cutting planes:
Gomory: 14
Cover: 2
Implied bound: 12
MIR: 11
Flow cover: 35
Inf proof: 4
Explored 352 nodes (3209 simplex iterations) in 0.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.33513 1.32187 1.2577
Optimal solution found (tolerance 1.00e-02)
Best objective 1.335126262065e+00, best bound 1.335126262065e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkrmkq5re.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5bi9jrbr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21481
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.430568e+00, 305 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.43057 0 27 1.21481 2.43057 100% - 0s
0 0 2.12193 0 18 1.21481 2.12193 74.7% - 0s
0 0 2.11502 0 28 1.21481 2.11502 74.1% - 0s
0 0 2.11480 0 28 1.21481 2.11480 74.1% - 0s
0 0 2.03748 0 26 1.21481 2.03748 67.7% - 0s
0 0 2.03737 0 32 1.21481 2.03737 67.7% - 0s
0 0 2.02810 0 34 1.21481 2.02810 66.9% - 0s
0 0 2.01139 0 33 1.21481 2.01139 65.6% - 0s
0 0 2.00791 0 38 1.21481 2.00791 65.3% - 0s
0 0 2.00789 0 41 1.21481 2.00789 65.3% - 0s
0 0 2.00000 0 45 1.21481 2.00000 64.6% - 0s
0 0 2.00000 0 46 1.21481 2.00000 64.6% - 0s
0 0 1.97823 0 50 1.21481 1.97823 62.8% - 0s
0 0 1.96268 0 45 1.21481 1.96268 61.6% - 0s
0 0 1.96042 0 48 1.21481 1.96042 61.4% - 0s
0 0 1.92577 0 50 1.21481 1.92577 58.5% - 0s
0 0 1.92347 0 50 1.21481 1.92347 58.3% - 0s
0 0 1.92298 0 50 1.21481 1.92298 58.3% - 0s
0 0 1.92298 0 50 1.21481 1.92298 58.3% - 0s
0 0 1.90940 0 48 1.21481 1.90940 57.2% - 0s
0 0 1.90934 0 49 1.21481 1.90934 57.2% - 0s
0 0 1.89795 0 46 1.21481 1.89795 56.2% - 0s
0 0 1.89535 0 47 1.21481 1.89535 56.0% - 0s
0 0 1.89234 0 47 1.21481 1.89234 55.8% - 0s
0 0 1.88694 0 52 1.21481 1.88694 55.3% - 0s
0 0 1.88208 0 54 1.21481 1.88208 54.9% - 0s
0 0 1.88208 0 54 1.21481 1.88208 54.9% - 0s
0 0 1.86120 0 48 1.21481 1.86120 53.2% - 0s
0 0 1.86120 0 48 1.21481 1.86120 53.2% - 0s
0 0 1.86120 0 48 1.21481 1.86120 53.2% - 0s
0 2 1.86120 0 48 1.21481 1.86120 53.2% - 0s
* 103 33 36 1.2640498 1.57276 24.4% 8.7 0s
* 246 40 31 1.2745664 1.44700 13.5% 7.8 0s
* 432 0 34 1.2751854 1.34585 5.54% 7.2 0s
Cutting planes:
Gomory: 8
Cover: 5
Implied bound: 12
MIR: 11
Flow cover: 40
Flow path: 1
Inf proof: 7
Explored 447 nodes (3967 simplex iterations) in 0.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.27519 1.27457 1.26405 1.21481
Optimal solution found (tolerance 1.00e-02)
Best objective 1.275185366000e+00, best bound 1.275185366000e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdlglhm7y.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq88q6fdn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16446
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.358703e+00, 295 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.35870 0 33 1.16446 2.35870 103% - 0s
0 0 2.06774 0 27 1.16446 2.06774 77.6% - 0s
0 0 2.06402 0 34 1.16446 2.06402 77.3% - 0s
0 0 1.98759 0 34 1.16446 1.98759 70.7% - 0s
0 0 1.98722 0 34 1.16446 1.98722 70.7% - 0s
0 0 1.98702 0 30 1.16446 1.98702 70.6% - 0s
0 0 1.98698 0 30 1.16446 1.98698 70.6% - 0s
0 0 1.96851 0 40 1.16446 1.96851 69.0% - 0s
0 0 1.95317 0 38 1.16446 1.95317 67.7% - 0s
0 0 1.95211 0 39 1.16446 1.95211 67.6% - 0s
0 0 1.95142 0 39 1.16446 1.95142 67.6% - 0s
0 0 1.94012 0 53 1.16446 1.94012 66.6% - 0s
0 0 1.94000 0 52 1.16446 1.94000 66.6% - 0s
0 0 1.89615 0 50 1.16446 1.89615 62.8% - 0s
0 0 1.88003 0 46 1.16446 1.88003 61.5% - 0s
0 0 1.87756 0 48 1.16446 1.87756 61.2% - 0s
0 0 1.87727 0 47 1.16446 1.87727 61.2% - 0s
0 0 1.82793 0 52 1.16446 1.82793 57.0% - 0s
0 0 1.81882 0 51 1.16446 1.81882 56.2% - 0s
0 0 1.81850 0 51 1.16446 1.81850 56.2% - 0s
0 0 1.80877 0 44 1.16446 1.80877 55.3% - 0s
0 0 1.80787 0 51 1.16446 1.80787 55.3% - 0s
0 0 1.80784 0 53 1.16446 1.80784 55.3% - 0s
0 0 1.77406 0 45 1.16446 1.77406 52.4% - 0s
0 0 1.77368 0 41 1.16446 1.77368 52.3% - 0s
0 0 1.77366 0 48 1.16446 1.77366 52.3% - 0s
0 0 1.77366 0 48 1.16446 1.77366 52.3% - 0s
0 2 1.77366 0 48 1.16446 1.77366 52.3% - 0s
* 108 41 35 1.2607909 1.60692 27.5% 9.1 0s
Cutting planes:
Gomory: 9
Cover: 3
Implied bound: 18
MIR: 10
Flow cover: 50
Inf proof: 6
Explored 763 nodes (5476 simplex iterations) in 0.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.26079 1.16446
Optimal solution found (tolerance 1.00e-02)
Best objective 1.260790867863e+00, best bound 1.260790867863e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmtdt5772.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptujf4b31.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16631
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.230797e+00, 331 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23080 0 37 1.16631 2.23080 91.3% - 0s
0 0 1.95934 0 35 1.16631 1.95934 68.0% - 0s
0 0 1.95354 0 38 1.16631 1.95354 67.5% - 0s
0 0 1.95354 0 38 1.16631 1.95354 67.5% - 0s
0 0 1.88110 0 42 1.16631 1.88110 61.3% - 0s
0 0 1.87078 0 43 1.16631 1.87078 60.4% - 0s
0 0 1.87068 0 39 1.16631 1.87068 60.4% - 0s
0 0 1.85364 0 50 1.16631 1.85364 58.9% - 0s
0 0 1.84378 0 46 1.16631 1.84378 58.1% - 0s
0 0 1.84363 0 51 1.16631 1.84363 58.1% - 0s
0 0 1.83572 0 49 1.16631 1.83572 57.4% - 0s
0 0 1.83508 0 51 1.16631 1.83508 57.3% - 0s
0 0 1.83445 0 52 1.16631 1.83445 57.3% - 0s
0 0 1.83442 0 52 1.16631 1.83442 57.3% - 0s
0 0 1.81908 0 54 1.16631 1.81908 56.0% - 0s
0 0 1.81805 0 52 1.16631 1.81805 55.9% - 0s
0 0 1.81741 0 55 1.16631 1.81741 55.8% - 0s
0 0 1.81741 0 55 1.16631 1.81741 55.8% - 0s
0 0 1.81592 0 56 1.16631 1.81592 55.7% - 0s
0 0 1.81587 0 56 1.16631 1.81587 55.7% - 0s
0 0 1.80563 0 52 1.16631 1.80563 54.8% - 0s
0 0 1.80561 0 52 1.16631 1.80561 54.8% - 0s
0 0 1.80556 0 52 1.16631 1.80556 54.8% - 0s
0 0 1.80556 0 52 1.16631 1.80556 54.8% - 0s
0 2 1.80556 0 52 1.16631 1.80556 54.8% - 0s
* 120 39 43 1.1884350 1.69065 42.3% 9.6 0s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 10
MIR: 21
Flow cover: 54
Inf proof: 3
Explored 548 nodes (5475 simplex iterations) in 0.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.18844 1.16631
Optimal solution found (tolerance 1.00e-02)
Best objective 1.188435037195e+00, best bound 1.188435037195e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9afww6en.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu_j94r9_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07212
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.308447e+00, 362 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.30845 0 41 1.07212 2.30845 115% - 0s
0 0 2.03154 0 43 1.07212 2.03154 89.5% - 0s
0 0 2.02653 0 42 1.07212 2.02653 89.0% - 0s
0 0 1.95978 0 43 1.07212 1.95978 82.8% - 0s
0 0 1.95930 0 51 1.07212 1.95930 82.8% - 0s
0 0 1.95832 0 44 1.07212 1.95832 82.7% - 0s
0 0 1.94299 0 46 1.07212 1.94299 81.2% - 0s
0 0 1.94170 0 47 1.07212 1.94170 81.1% - 0s
0 0 1.92662 0 53 1.07212 1.92662 79.7% - 0s
0 0 1.92379 0 53 1.07212 1.92379 79.4% - 0s
0 0 1.92377 0 54 1.07212 1.92377 79.4% - 0s
0 0 1.91009 0 50 1.07212 1.91009 78.2% - 0s
0 0 1.90274 0 50 1.07212 1.90274 77.5% - 0s
0 0 1.90253 0 53 1.07212 1.90253 77.5% - 0s
0 0 1.88995 0 56 1.07212 1.88995 76.3% - 0s
0 0 1.88808 0 54 1.07212 1.88808 76.1% - 0s
0 0 1.88706 0 54 1.07212 1.88706 76.0% - 0s
0 0 1.88633 0 55 1.07212 1.88633 75.9% - 0s
0 0 1.88623 0 56 1.07212 1.88623 75.9% - 0s
0 0 1.87727 0 53 1.07212 1.87727 75.1% - 0s
0 0 1.86748 0 53 1.07212 1.86748 74.2% - 0s
0 0 1.86313 0 52 1.07212 1.86313 73.8% - 0s
0 0 1.86240 0 53 1.07212 1.86240 73.7% - 0s
0 0 1.86171 0 53 1.07212 1.86171 73.6% - 0s
0 0 1.86171 0 54 1.07212 1.86171 73.6% - 0s
0 0 1.86043 0 55 1.07212 1.86043 73.5% - 0s
0 0 1.86015 0 56 1.07212 1.86015 73.5% - 0s
0 0 1.85547 0 59 1.07212 1.85547 73.1% - 0s
0 0 1.85470 0 59 1.07212 1.85470 73.0% - 0s
0 0 1.85470 0 59 1.07212 1.85470 73.0% - 0s
0 0 1.82739 0 57 1.07212 1.82739 70.4% - 0s
0 0 1.82731 0 60 1.07212 1.82731 70.4% - 0s
0 0 1.82049 0 57 1.07212 1.82049 69.8% - 0s
0 0 1.82049 0 57 1.07212 1.82049 69.8% - 0s
0 0 1.82049 0 57 1.07212 1.82049 69.8% - 0s
0 2 1.82049 0 57 1.07212 1.82049 69.8% - 0s
* 1084 195 40 1.1570636 1.33327 15.2% 6.9 0s
Cutting planes:
Gomory: 12
Cover: 4
Implied bound: 19
MIR: 14
Flow cover: 49
Flow path: 1
Inf proof: 7
Explored 1599 nodes (11036 simplex iterations) in 1.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.15706 1.07212
Optimal solution found (tolerance 1.00e-02)
Best objective 1.157063603435e+00, best bound 1.166808905099e+00, gap 0.8422%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzd4xeiuo.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl5y83wuz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07735
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.192338e+00, 442 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19234 0 43 1.07735 2.19234 103% - 0s
0 0 1.91447 0 48 1.07735 1.91447 77.7% - 0s
0 0 1.91311 0 49 1.07735 1.91311 77.6% - 0s
0 0 1.91311 0 49 1.07735 1.91311 77.6% - 0s
0 0 1.82689 0 51 1.07735 1.82689 69.6% - 0s
0 0 1.81990 0 51 1.07735 1.81990 68.9% - 0s
0 0 1.81977 0 52 1.07735 1.81977 68.9% - 0s
0 0 1.80910 0 50 1.07735 1.80910 67.9% - 0s
0 0 1.80063 0 53 1.07735 1.80063 67.1% - 0s
0 0 1.80036 0 52 1.07735 1.80036 67.1% - 0s
0 0 1.78798 0 60 1.07735 1.78798 66.0% - 0s
0 0 1.78698 0 61 1.07735 1.78698 65.9% - 0s
0 0 1.78698 0 61 1.07735 1.78698 65.9% - 0s
0 0 1.78061 0 66 1.07735 1.78061 65.3% - 0s
0 0 1.78023 0 67 1.07735 1.78023 65.2% - 0s
0 0 1.77923 0 68 1.07735 1.77923 65.1% - 0s
0 0 1.77915 0 68 1.07735 1.77915 65.1% - 0s
0 0 1.76886 0 63 1.07735 1.76886 64.2% - 0s
0 0 1.76219 0 64 1.07735 1.76219 63.6% - 0s
0 0 1.76061 0 63 1.07735 1.76061 63.4% - 0s
0 0 1.76057 0 63 1.07735 1.76057 63.4% - 0s
0 0 1.75817 0 61 1.07735 1.75817 63.2% - 0s
0 0 1.72761 0 60 1.07735 1.72761 60.4% - 0s
0 0 1.72655 0 60 1.07735 1.72655 60.3% - 0s
0 0 1.72651 0 60 1.07735 1.72651 60.3% - 0s
0 0 1.69654 0 60 1.07735 1.69654 57.5% - 0s
0 0 1.69396 0 70 1.07735 1.69396 57.2% - 0s
0 0 1.69352 0 70 1.07735 1.69352 57.2% - 0s
0 0 1.67980 0 67 1.07735 1.67980 55.9% - 0s
0 0 1.67918 0 67 1.07735 1.67918 55.9% - 0s
0 0 1.67883 0 67 1.07735 1.67883 55.8% - 0s
0 0 1.65395 0 54 1.07735 1.65395 53.5% - 0s
0 0 1.65384 0 56 1.07735 1.65384 53.5% - 0s
0 0 1.65323 0 57 1.07735 1.65323 53.5% - 0s
0 0 1.65323 0 57 1.07735 1.65323 53.5% - 0s
0 2 1.65323 0 57 1.07735 1.65323 53.5% - 0s
* 2185 144 52 1.0775216 1.15500 7.19% 7.3 1s
* 2390 24 52 1.0860385 1.11851 2.99% 7.3 1s
Cutting planes:
Gomory: 18
Cover: 14
Implied bound: 24
MIR: 15
Flow cover: 61
Flow path: 1
Inf proof: 43
Explored 2434 nodes (18932 simplex iterations) in 1.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.08604 1.07752 1.07735
Optimal solution found (tolerance 1.00e-02)
Best objective 1.086038503283e+00, best bound 1.086038503283e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1qkdg468.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb1y0zurs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.972915
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 2.233185e+00, 499 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23318 0 48 0.97292 2.23318 130% - 0s
0 0 1.94734 0 57 0.97292 1.94734 100% - 0s
0 0 1.94338 0 50 0.97292 1.94338 100% - 0s
0 0 1.94338 0 50 0.97292 1.94338 100% - 0s
0 0 1.88783 0 56 0.97292 1.88783 94.0% - 0s
0 0 1.88223 0 55 0.97292 1.88223 93.5% - 0s
0 0 1.87744 0 53 0.97292 1.87744 93.0% - 0s
0 0 1.87660 0 58 0.97292 1.87660 92.9% - 0s
0 0 1.87660 0 58 0.97292 1.87660 92.9% - 0s
0 0 1.85683 0 58 0.97292 1.85683 90.9% - 0s
0 0 1.85680 0 58 0.97292 1.85680 90.8% - 0s
0 0 1.82597 0 68 0.97292 1.82597 87.7% - 0s
0 0 1.81883 0 67 0.97292 1.81883 86.9% - 0s
0 0 1.81282 0 70 0.97292 1.81282 86.3% - 0s
0 0 1.81265 0 69 0.97292 1.81265 86.3% - 0s
0 0 1.79095 0 67 0.97292 1.79095 84.1% - 0s
0 0 1.79035 0 69 0.97292 1.79035 84.0% - 0s
0 0 1.79022 0 69 0.97292 1.79022 84.0% - 0s
0 0 1.78448 0 69 0.97292 1.78448 83.4% - 0s
0 0 1.78427 0 73 0.97292 1.78427 83.4% - 0s
0 0 1.76285 0 70 0.97292 1.76285 81.2% - 0s
0 0 1.76285 0 71 0.97292 1.76285 81.2% - 0s
0 0 1.76161 0 76 0.97292 1.76161 81.1% - 0s
0 0 1.76161 0 66 0.97292 1.76161 81.1% - 0s
0 2 1.76161 0 66 0.97292 1.76161 81.1% - 0s
* 424 206 57 1.0253425 1.43290 39.7% 9.0 0s
* 1653 313 49 1.0712650 1.29003 20.4% 9.1 2s
Cutting planes:
Gomory: 22
Cover: 2
Implied bound: 13
Projected implied bound: 11
Clique: 1
MIR: 8
Flow cover: 37
Inf proof: 18
Explored 2415 nodes (21952 simplex iterations) in 3.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07126 1.02534 0.972915
Optimal solution found (tolerance 1.00e-02)
Best objective 1.071264971000e+00, best bound 1.078998457930e+00, gap 0.7219%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvc186egl.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp90uzdhc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.982218
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 2.179905e+00, 443 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17991 0 55 0.98222 2.17991 122% - 0s
0 0 1.90461 0 60 0.98222 1.90461 93.9% - 0s
0 0 1.90352 0 60 0.98222 1.90352 93.8% - 0s
0 0 1.90352 0 60 0.98222 1.90352 93.8% - 0s
0 0 1.82883 0 63 0.98222 1.82883 86.2% - 0s
0 0 1.80754 0 59 0.98222 1.80754 84.0% - 0s
0 0 1.80743 0 57 0.98222 1.80743 84.0% - 0s
0 0 1.79753 0 66 0.98222 1.79753 83.0% - 0s
0 0 1.79741 0 68 0.98222 1.79741 83.0% - 0s
0 0 1.79419 0 68 0.98222 1.79419 82.7% - 0s
0 0 1.78969 0 66 0.98222 1.78969 82.2% - 0s
0 0 1.78776 0 71 0.98222 1.78776 82.0% - 0s
0 0 1.78757 0 69 0.98222 1.78757 82.0% - 0s
0 0 1.76499 0 66 0.98222 1.76499 79.7% - 0s
0 0 1.76468 0 65 0.98222 1.76468 79.7% - 0s
0 0 1.76459 0 67 0.98222 1.76459 79.7% - 0s
0 0 1.71944 0 69 0.98222 1.71944 75.1% - 0s
0 0 1.71433 0 76 0.98222 1.71433 74.5% - 0s
0 0 1.71377 0 76 0.98222 1.71377 74.5% - 0s
0 0 1.69555 0 71 0.98222 1.69555 72.6% - 0s
0 0 1.69550 0 72 0.98222 1.69550 72.6% - 0s
0 0 1.67842 0 76 0.98222 1.67842 70.9% - 0s
0 0 1.67764 0 78 0.98222 1.67764 70.8% - 0s
0 0 1.67685 0 75 0.98222 1.67685 70.7% - 0s
0 0 1.67632 0 74 0.98222 1.67632 70.7% - 0s
0 0 1.67631 0 74 0.98222 1.67631 70.7% - 0s
0 0 1.67369 0 73 0.98222 1.67369 70.4% - 0s
0 0 1.67302 0 79 0.98222 1.67302 70.3% - 0s
0 0 1.67302 0 79 0.98222 1.67302 70.3% - 0s
0 0 1.66856 0 78 0.98222 1.66856 69.9% - 0s
0 0 1.66678 0 75 0.98222 1.66678 69.7% - 0s
0 0 1.66678 0 75 0.98222 1.66678 69.7% - 0s
0 0 1.66670 0 74 0.98222 1.66670 69.7% - 0s
0 0 1.66670 0 74 0.98222 1.66670 69.7% - 0s
0 2 1.66670 0 70 0.98222 1.66670 69.7% - 0s
* 1358 432 66 1.0580342 1.34254 26.9% 8.7 1s
* 1796 472 58 1.0640522 1.30297 22.5% 9.5 3s
* 1912 435 51 1.0656235 1.26888 19.1% 9.4 3s
* 2596 214 48 1.0764648 1.17051 8.74% 9.2 4s
Cutting planes:
Learned: 2
Gomory: 25
Cover: 6
Implied bound: 12
Projected implied bound: 18
Clique: 1
MIR: 11
Flow cover: 45
Flow path: 1
Inf proof: 17
Explored 2909 nodes (28143 simplex iterations) in 4.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.07646 1.06562 1.06405 ... 0.982218
Optimal solution found (tolerance 1.00e-02)
Best objective 1.076464798269e+00, best bound 1.076464798269e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplmjybbc3.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0k0wwnhc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01907
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 2.074714e+00, 550 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07471 0 58 1.01907 2.07471 104% - 0s
0 0 1.76916 0 64 1.01907 1.76916 73.6% - 0s
0 0 1.76709 0 64 1.01907 1.76709 73.4% - 0s
0 0 1.76709 0 64 1.01907 1.76709 73.4% - 0s
0 0 1.72135 0 75 1.01907 1.72135 68.9% - 0s
0 0 1.71670 0 71 1.01907 1.71670 68.5% - 0s
0 0 1.71658 0 71 1.01907 1.71658 68.4% - 0s
0 0 1.69690 0 76 1.01907 1.69690 66.5% - 0s
0 0 1.68613 0 73 1.01907 1.68613 65.5% - 0s
0 0 1.68484 0 76 1.01907 1.68484 65.3% - 0s
0 0 1.68477 0 77 1.01907 1.68477 65.3% - 0s
0 0 1.67787 0 76 1.01907 1.67787 64.6% - 0s
0 0 1.67787 0 76 1.01907 1.67787 64.6% - 0s
0 0 1.66617 0 76 1.01907 1.66617 63.5% - 0s
0 0 1.66040 0 76 1.01907 1.66040 62.9% - 0s
0 0 1.65796 0 76 1.01907 1.65796 62.7% - 0s
0 0 1.65794 0 77 1.01907 1.65794 62.7% - 0s
0 0 1.63883 0 79 1.01907 1.63883 60.8% - 0s
0 0 1.63866 0 78 1.01907 1.63866 60.8% - 0s
0 0 1.63439 0 78 1.01907 1.63439 60.4% - 0s
0 0 1.63422 0 79 1.01907 1.63422 60.4% - 0s
0 0 1.62277 0 80 1.01907 1.62277 59.2% - 0s
0 0 1.62133 0 80 1.01907 1.62133 59.1% - 0s
0 0 1.62132 0 81 1.01907 1.62132 59.1% - 0s
0 0 1.59004 0 79 1.01907 1.59004 56.0% - 0s
0 0 1.58645 0 81 1.01907 1.58645 55.7% - 0s
0 0 1.58435 0 80 1.01907 1.58435 55.5% - 0s
0 0 1.58173 0 74 1.01907 1.58173 55.2% - 0s
0 0 1.58169 0 76 1.01907 1.58169 55.2% - 0s
0 0 1.58114 0 79 1.01907 1.58114 55.2% - 0s
0 0 1.58114 0 79 1.01907 1.58114 55.2% - 0s
0 2 1.58114 0 70 1.01907 1.58114 55.2% - 0s
Cutting planes:
Gomory: 24
Cover: 1
Implied bound: 13
Projected implied bound: 19
Clique: 2
MIR: 7
Flow cover: 41
Flow path: 1
Inf proof: 24
Explored 3001 nodes (28820 simplex iterations) in 4.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.01907
Optimal solution found (tolerance 1.00e-02)
Best objective 1.019065945953e+00, best bound 1.028135604223e+00, gap 0.8900%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprsqgtuf_.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6ddesbb5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07115
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 2.132093e+00, 572 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13209 0 50 1.07115 2.13209 99.0% - 0s
0 0 1.93321 0 68 1.07115 1.93321 80.5% - 0s
0 0 1.92957 0 68 1.07115 1.92957 80.1% - 0s
0 0 1.92957 0 69 1.07115 1.92957 80.1% - 0s
0 0 1.85817 0 79 1.07115 1.85817 73.5% - 0s
0 0 1.83826 0 78 1.07115 1.83826 71.6% - 0s
0 0 1.83603 0 80 1.07115 1.83603 71.4% - 0s
0 0 1.82992 0 73 1.07115 1.82992 70.8% - 0s
0 0 1.82935 0 76 1.07115 1.82935 70.8% - 0s
0 0 1.82708 0 77 1.07115 1.82708 70.6% - 0s
0 0 1.82660 0 77 1.07115 1.82660 70.5% - 0s
0 0 1.82660 0 78 1.07115 1.82660 70.5% - 0s
0 0 1.82372 0 81 1.07115 1.82372 70.3% - 0s
0 0 1.82133 0 90 1.07115 1.82133 70.0% - 0s
0 0 1.82089 0 88 1.07115 1.82089 70.0% - 0s
0 0 1.82076 0 88 1.07115 1.82076 70.0% - 0s
0 0 1.81710 0 90 1.07115 1.81710 69.6% - 0s
0 0 1.81710 0 90 1.07115 1.81710 69.6% - 0s
0 0 1.81686 0 90 1.07115 1.81686 69.6% - 0s
0 0 1.81686 0 90 1.07115 1.81686 69.6% - 0s
0 2 1.81686 0 90 1.07115 1.81686 69.6% - 0s
3157 256 cutoff 24 1.07115 1.15891 8.19% 9.8 5s
Cutting planes:
Learned: 1
Gomory: 35
Cover: 5
Implied bound: 14
Projected implied bound: 33
MIR: 10
Flow cover: 54
Flow path: 1
Inf proof: 29
Explored 3617 nodes (35513 simplex iterations) in 5.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.07115
Optimal solution found (tolerance 1.00e-02)
Best objective 1.071148453984e+00, best bound 1.071148453984e+00, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnnfwfjo2.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_txqgjwn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09592
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 2.093102e+00, 589 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09310 0 55 1.09592 2.09310 91.0% - 0s
0 0 1.90464 0 74 1.09592 1.90464 73.8% - 0s
0 0 1.90270 0 74 1.09592 1.90270 73.6% - 0s
0 0 1.81498 0 80 1.09592 1.81498 65.6% - 0s
0 0 1.79934 0 71 1.09592 1.79934 64.2% - 0s
0 0 1.79833 0 71 1.09592 1.79833 64.1% - 0s
0 0 1.79833 0 72 1.09592 1.79833 64.1% - 0s
0 0 1.78746 0 77 1.09592 1.78746 63.1% - 0s
0 0 1.78723 0 76 1.09592 1.78723 63.1% - 0s
0 0 1.78715 0 81 1.09592 1.78715 63.1% - 0s
0 0 1.76206 0 89 1.09592 1.76206 60.8% - 0s
0 0 1.76126 0 89 1.09592 1.76126 60.7% - 0s
0 0 1.76115 0 89 1.09592 1.76115 60.7% - 0s
0 0 1.74212 0 84 1.09592 1.74212 59.0% - 0s
0 0 1.73348 0 84 1.09592 1.73348 58.2% - 0s
0 0 1.73296 0 86 1.09592 1.73296 58.1% - 0s
0 0 1.73282 0 84 1.09592 1.73282 58.1% - 0s
0 0 1.69910 0 83 1.09592 1.69910 55.0% - 0s
0 0 1.69844 0 82 1.09592 1.69844 55.0% - 0s
0 0 1.68624 0 85 1.09592 1.68624 53.9% - 0s
0 0 1.68442 0 88 1.09592 1.68442 53.7% - 0s
0 0 1.68322 0 86 1.09592 1.68322 53.6% - 0s
0 0 1.68315 0 85 1.09592 1.68315 53.6% - 0s
0 0 1.67459 0 78 1.09592 1.67459 52.8% - 0s
0 0 1.67181 0 89 1.09592 1.67181 52.5% - 0s
0 0 1.67176 0 89 1.09592 1.67176 52.5% - 0s
0 0 1.66010 0 83 1.09592 1.66010 51.5% - 0s
0 0 1.65450 0 83 1.09592 1.65450 51.0% - 0s
0 0 1.65448 0 83 1.09592 1.65448 51.0% - 0s
0 0 1.65144 0 80 1.09592 1.65144 50.7% - 0s
0 0 1.65143 0 79 1.09592 1.65143 50.7% - 0s
0 0 1.64985 0 79 1.09592 1.64985 50.5% - 0s
0 0 1.64985 0 78 1.09592 1.64985 50.5% - 0s
0 2 1.64985 0 78 1.09592 1.64985 50.5% - 0s
* 590 274 79 1.1030084 1.48595 34.7% 8.7 0s
* 1779 634 64 1.1049667 1.37433 24.4% 8.9 3s
3306 336 1.10690 37 17 1.10497 1.20659 9.20% 9.6 5s
Cutting planes:
Learned: 1
Gomory: 35
Cover: 3
Implied bound: 17
Projected implied bound: 18
Clique: 1
MIR: 6
Flow cover: 30
Flow path: 1
Inf proof: 35
Explored 4308 nodes (43117 simplex iterations) in 6.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.10497 1.10301 1.09592
Optimal solution found (tolerance 1.00e-02)
Best objective 1.104966673498e+00, best bound 1.113756975599e+00, gap 0.7955%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4h0wbf4f.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_k89f2xj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10022
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 2.060766e+00, 628 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06077 0 62 1.10022 2.06077 87.3% - 0s
0 0 1.99501 0 69 1.10022 1.99501 81.3% - 0s
0 0 1.99011 0 66 1.10022 1.99011 80.9% - 0s
0 0 1.82812 0 82 1.10022 1.82812 66.2% - 0s
0 0 1.82653 0 78 1.10022 1.82653 66.0% - 0s
0 0 1.81538 0 82 1.10022 1.81538 65.0% - 0s
0 0 1.81318 0 78 1.10022 1.81318 64.8% - 0s
0 0 1.80012 0 77 1.10022 1.80012 63.6% - 0s
0 0 1.79657 0 80 1.10022 1.79657 63.3% - 0s
0 0 1.79283 0 81 1.10022 1.79283 63.0% - 0s
0 0 1.79245 0 77 1.10022 1.79245 62.9% - 0s
0 0 1.79245 0 81 1.10022 1.79245 62.9% - 0s
0 0 1.79221 0 83 1.10022 1.79221 62.9% - 0s
0 0 1.79221 0 83 1.10022 1.79221 62.9% - 0s
0 2 1.79221 0 76 1.10022 1.79221 62.9% - 0s
* 2752 449 65 1.1079852 1.32250 19.4% 11.1 4s
2840 437 1.21884 35 43 1.10799 1.27904 15.4% 11.1 5s
* 3453 220 62 1.1087031 1.20785 8.94% 11.1 5s
Cutting planes:
Learned: 3
Gomory: 19
Cover: 6
Implied bound: 22
Projected implied bound: 32
Clique: 2
MIR: 16
Flow cover: 53
Flow path: 1
Inf proof: 18
Explored 3789 nodes (41999 simplex iterations) in 5.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.1087 1.10799 1.10022
Optimal solution found (tolerance 1.00e-02)
Best objective 1.108703105809e+00, best bound 1.112898427456e+00, gap 0.3784%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphhntp5ng.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6r2pocr2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08594
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 2.028253e+00, 644 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02825 0 65 1.08594 2.02825 86.8% - 0s
0 0 1.93871 0 80 1.08594 1.93871 78.5% - 0s
0 0 1.93386 0 75 1.08594 1.93386 78.1% - 0s
0 0 1.88301 0 93 1.08594 1.88301 73.4% - 0s
0 0 1.86481 0 92 1.08594 1.86481 71.7% - 0s
0 0 1.85675 0 92 1.08594 1.85675 71.0% - 0s
0 0 1.85257 0 92 1.08594 1.85257 70.6% - 0s
0 0 1.80247 0 94 1.08594 1.80247 66.0% - 0s
0 0 1.80056 0 99 1.08594 1.80056 65.8% - 0s
0 0 1.77821 0 95 1.08594 1.77821 63.7% - 0s
0 0 1.77794 0 100 1.08594 1.77794 63.7% - 0s
0 0 1.76796 0 99 1.08594 1.76796 62.8% - 0s
0 0 1.76796 0 100 1.08594 1.76796 62.8% - 0s
0 0 1.76796 0 100 1.08594 1.76796 62.8% - 0s
0 0 1.76796 0 86 1.08594 1.76796 62.8% - 0s
0 2 1.76796 0 84 1.08594 1.76796 62.8% - 0s
2933 650 cutoff 23 1.08594 1.31290 20.9% 10.9 5s
* 3184 518 60 1.0918128 1.29205 18.3% 11.0 5s
* 3766 177 56 1.0942136 1.18569 8.36% 11.0 5s
* 4049 20 56 1.0975846 1.14747 4.55% 10.7 6s
* 4113 26 58 1.1001603 1.13102 2.81% 10.7 6s
Cutting planes:
Gomory: 25
Cover: 7
Implied bound: 19
Projected implied bound: 37
MIR: 17
Flow cover: 55
Flow path: 1
Inf proof: 25
Explored 4215 nodes (45768 simplex iterations) in 6.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.10016 1.09758 1.09421 ... 1.08594
Optimal solution found (tolerance 1.00e-02)
Best objective 1.100160310910e+00, best bound 1.106318286359e+00, gap 0.5597%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj5uyb_td.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3twsoio6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07482
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.966275e+00, 687 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96627 0 67 1.07482 1.96627 82.9% - 0s
0 0 1.86975 0 84 1.07482 1.86975 74.0% - 0s
0 0 1.86515 0 87 1.07482 1.86515 73.5% - 0s
0 0 1.77640 0 96 1.07482 1.77640 65.3% - 0s
0 0 1.77280 0 92 1.07482 1.77280 64.9% - 0s
0 0 1.76383 0 95 1.07482 1.76383 64.1% - 0s
0 0 1.75903 0 94 1.07482 1.75903 63.7% - 0s
0 0 1.75372 0 96 1.07482 1.75372 63.2% - 0s
0 0 1.75332 0 94 1.07482 1.75332 63.1% - 0s
0 0 1.74684 0 97 1.07482 1.74684 62.5% - 0s
0 0 1.74584 0 96 1.07482 1.74584 62.4% - 0s
0 0 1.74392 0 102 1.07482 1.74392 62.3% - 0s
0 0 1.74364 0 102 1.07482 1.74364 62.2% - 0s
0 0 1.74184 0 101 1.07482 1.74184 62.1% - 0s
0 0 1.74057 0 98 1.07482 1.74057 61.9% - 0s
0 0 1.74023 0 98 1.07482 1.74023 61.9% - 0s
0 0 1.74023 0 98 1.07482 1.74023 61.9% - 0s
0 0 1.73955 0 98 1.07482 1.73955 61.8% - 0s
0 0 1.73955 0 100 1.07482 1.73955 61.8% - 0s
0 0 1.73523 0 100 1.07482 1.73523 61.4% - 0s
0 0 1.73466 0 98 1.07482 1.73466 61.4% - 0s
0 0 1.73421 0 98 1.07482 1.73421 61.3% - 0s
0 0 1.73412 0 100 1.07482 1.73412 61.3% - 0s
0 0 1.73226 0 95 1.07482 1.73226 61.2% - 0s
0 0 1.73205 0 102 1.07482 1.73205 61.1% - 0s
0 0 1.73149 0 106 1.07482 1.73149 61.1% - 0s
0 0 1.73149 0 106 1.07482 1.73149 61.1% - 0s
0 2 1.73149 0 106 1.07482 1.73149 61.1% - 0s
1659 456 1.13173 38 33 1.07482 1.25518 16.8% 13.1 5s
Cutting planes:
Learned: 1
Gomory: 41
Cover: 6
Implied bound: 19
Projected implied bound: 41
MIR: 21
Flow cover: 38
Inf proof: 20
Explored 3914 nodes (42272 simplex iterations) in 7.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.07482
Optimal solution found (tolerance 1.00e-02)
Best objective 1.074823823996e+00, best bound 1.081971365048e+00, gap 0.6650%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcyrste4h.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxjopah2m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05577
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.904632e+00, 699 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90463 0 70 1.05577 1.90463 80.4% - 0s
0 0 1.84143 0 83 1.05577 1.84143 74.4% - 0s
0 0 1.83828 0 88 1.05577 1.83828 74.1% - 0s
0 0 1.74366 0 99 1.05577 1.74366 65.2% - 0s
0 0 1.74277 0 95 1.05577 1.74277 65.1% - 0s
0 0 1.72963 0 100 1.05577 1.72963 63.8% - 0s
0 0 1.72599 0 102 1.05577 1.72599 63.5% - 0s
0 0 1.71673 0 106 1.05577 1.71673 62.6% - 0s
0 0 1.71606 0 106 1.05577 1.71606 62.5% - 0s
0 0 1.71354 0 106 1.05577 1.71354 62.3% - 0s
0 0 1.71312 0 109 1.05577 1.71312 62.3% - 0s
0 0 1.71122 0 109 1.05577 1.71122 62.1% - 0s
0 0 1.71084 0 108 1.05577 1.71084 62.0% - 0s
0 0 1.70609 0 106 1.05577 1.70609 61.6% - 0s
0 0 1.70604 0 108 1.05577 1.70604 61.6% - 0s
0 0 1.70223 0 107 1.05577 1.70223 61.2% - 0s
0 0 1.70223 0 109 1.05577 1.70223 61.2% - 0s
0 0 1.70129 0 109 1.05577 1.70129 61.1% - 0s
0 0 1.70129 0 99 1.05577 1.70129 61.1% - 0s
0 2 1.70129 0 97 1.05577 1.70129 61.1% - 0s
1794 469 1.20535 31 44 1.05577 1.27128 20.4% 14.3 5s
Cutting planes:
Gomory: 20
Cover: 2
Implied bound: 18
Projected implied bound: 28
MIR: 17
Flow cover: 46
Inf proof: 20
Explored 3751 nodes (48258 simplex iterations) in 7.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.05577
Optimal solution found (tolerance 1.00e-02)
Best objective 1.055767896015e+00, best bound 1.063030137089e+00, gap 0.6879%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67pekjrc.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf6639fox.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0445
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.896220e+00, 716 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89622 0 70 1.04450 1.89622 81.5% - 0s
0 0 1.80310 0 86 1.04450 1.80310 72.6% - 0s
0 0 1.80300 0 88 1.04450 1.80300 72.6% - 0s
0 0 1.73896 0 94 1.04450 1.73896 66.5% - 0s
0 0 1.73596 0 94 1.04450 1.73596 66.2% - 0s
0 0 1.72479 0 98 1.04450 1.72479 65.1% - 0s
0 0 1.71576 0 101 1.04450 1.71576 64.3% - 0s
0 0 1.70498 0 107 1.04450 1.70498 63.2% - 0s
0 0 1.70241 0 108 1.04450 1.70241 63.0% - 0s
0 0 1.68209 0 108 1.04450 1.68209 61.0% - 0s
0 0 1.68182 0 110 1.04450 1.68182 61.0% - 0s
0 0 1.67407 0 112 1.04450 1.67407 60.3% - 0s
0 0 1.67241 0 115 1.04450 1.67241 60.1% - 0s
0 0 1.67131 0 114 1.04450 1.67131 60.0% - 0s
0 0 1.66926 0 118 1.04450 1.66926 59.8% - 0s
0 0 1.66907 0 118 1.04450 1.66907 59.8% - 0s
0 0 1.66907 0 118 1.04450 1.66907 59.8% - 0s
0 0 1.66907 0 99 1.04450 1.66907 59.8% - 0s
0 2 1.66907 0 94 1.04450 1.66907 59.8% - 0s
1531 628 1.27142 20 70 1.04450 1.27142 21.7% 12.1 5s
* 2125 606 94 1.0470564 1.19689 14.3% 12.6 6s
Cutting planes:
Learned: 1
Gomory: 52
Cover: 7
Implied bound: 26
Projected implied bound: 32
Clique: 2
MIR: 22
Flow cover: 58
Flow path: 1
Inf proof: 18
Explored 3629 nodes (48097 simplex iterations) in 8.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.04706 1.0445
Optimal solution found (tolerance 1.00e-02)
Best objective 1.047056377178e+00, best bound 1.055585612033e+00, gap 0.8146%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy4dicu5b.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6259x_5n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02831
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.853284e+00, 803 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85328 0 74 1.02831 1.85328 80.2% - 0s
0 0 1.78082 0 93 1.02831 1.78082 73.2% - 0s
0 0 1.77661 0 86 1.02831 1.77661 72.8% - 0s
0 0 1.70992 0 107 1.02831 1.70992 66.3% - 0s
0 0 1.70877 0 105 1.02831 1.70877 66.2% - 0s
0 0 1.69162 0 109 1.02831 1.69162 64.5% - 0s
0 0 1.68822 0 111 1.02831 1.68822 64.2% - 0s
0 0 1.68521 0 106 1.02831 1.68521 63.9% - 0s
0 0 1.68259 0 106 1.02831 1.68259 63.6% - 0s
0 0 1.67869 0 108 1.02831 1.67869 63.2% - 0s
0 0 1.67295 0 108 1.02831 1.67295 62.7% - 0s
0 0 1.67074 0 111 1.02831 1.67074 62.5% - 0s
0 0 1.67066 0 112 1.02831 1.67066 62.5% - 0s
0 0 1.66923 0 112 1.02831 1.66923 62.3% - 0s
0 0 1.66923 0 113 1.02831 1.66923 62.3% - 0s
0 0 1.66923 0 115 1.02831 1.66923 62.3% - 0s
0 0 1.66923 0 115 1.02831 1.66923 62.3% - 0s
0 0 1.66637 0 107 1.02831 1.66637 62.0% - 0s
0 0 1.66513 0 108 1.02831 1.66513 61.9% - 0s
0 0 1.66334 0 109 1.02831 1.66334 61.8% - 0s
0 0 1.66334 0 110 1.02831 1.66334 61.8% - 0s
0 0 1.66334 0 110 1.02831 1.66334 61.8% - 0s
0 0 1.66334 0 105 1.02831 1.66334 61.8% - 0s
0 2 1.66334 0 104 1.02831 1.66334 61.8% - 0s
2040 746 1.23473 36 59 1.02831 1.29208 25.7% 12.5 5s
* 4451 20 98 1.0290115 1.03817 0.89% 11.7 7s
Cutting planes:
Learned: 1
Gomory: 27
Cover: 5
Implied bound: 20
Projected implied bound: 43
MIR: 20
Flow cover: 58
Flow path: 2
Inf proof: 16
Zero half: 1
Explored 4474 nodes (54263 simplex iterations) in 7.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.02901 1.02831
Optimal solution found (tolerance 1.00e-02)
Best objective 1.029011496397e+00, best bound 1.032188915563e+00, gap 0.3088%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxzb5frew.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm3end8m0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00539
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.801863e+00, 841 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80186 0 80 1.00539 1.80186 79.2% - 0s
0 0 1.73422 0 96 1.00539 1.73422 72.5% - 0s
0 0 1.73027 0 97 1.00539 1.73027 72.1% - 0s
0 0 1.67209 0 107 1.00539 1.67209 66.3% - 0s
0 0 1.67142 0 107 1.00539 1.67142 66.2% - 0s
0 0 1.66254 0 109 1.00539 1.66254 65.4% - 0s
0 0 1.65984 0 113 1.00539 1.65984 65.1% - 0s
0 0 1.62642 0 115 1.00539 1.62642 61.8% - 0s
0 0 1.62361 0 117 1.00539 1.62361 61.5% - 0s
0 0 1.60747 0 116 1.00539 1.60747 59.9% - 0s
0 0 1.59973 0 124 1.00539 1.59973 59.1% - 0s
0 0 1.59184 0 123 1.00539 1.59184 58.3% - 0s
0 0 1.59184 0 126 1.00539 1.59184 58.3% - 0s
0 0 1.59178 0 127 1.00539 1.59178 58.3% - 0s
0 0 1.59178 0 127 1.00539 1.59178 58.3% - 0s
0 0 1.59178 0 109 1.00539 1.59178 58.3% - 0s
0 2 1.59178 0 105 1.00539 1.59178 58.3% - 0s
1584 505 1.15963 20 56 1.00539 1.19826 19.2% 13.2 5s
H 3670 509 1.0053872 1.09158 8.57% 12.3 8s
H 3671 509 1.0053872 1.09158 8.57% 12.3 8s
Cutting planes:
Learned: 1
Gomory: 22
Cover: 3
Implied bound: 28
Projected implied bound: 43
Clique: 1
MIR: 15
Flow cover: 60
Inf proof: 22
Explored 5285 nodes (58436 simplex iterations) in 9.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.00539 1.00539 1.00539
Optimal solution found (tolerance 1.00e-02)
Best objective 1.005387173430e+00, best bound 1.012691903745e+00, gap 0.7266%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk6b571yg.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl0rt_v_n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0006
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.772791e+00, 871 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77279 0 81 1.00060 1.77279 77.2% - 0s
0 0 1.70963 0 99 1.00060 1.70963 70.9% - 0s
0 0 1.70543 0 96 1.00060 1.70543 70.4% - 0s
0 0 1.63761 0 114 1.00060 1.63761 63.7% - 0s
0 0 1.63682 0 118 1.00060 1.63682 63.6% - 0s
0 0 1.62768 0 111 1.00060 1.62768 62.7% - 0s
0 0 1.62652 0 116 1.00060 1.62652 62.6% - 0s
0 0 1.60511 0 120 1.00060 1.60511 60.4% - 0s
0 0 1.60511 0 126 1.00060 1.60511 60.4% - 0s
0 0 1.60259 0 126 1.00060 1.60259 60.2% - 0s
0 0 1.60247 0 124 1.00060 1.60247 60.2% - 0s
0 0 1.60139 0 129 1.00060 1.60139 60.0% - 0s
0 0 1.60127 0 128 1.00060 1.60127 60.0% - 0s
0 0 1.60098 0 132 1.00060 1.60098 60.0% - 0s
0 0 1.60095 0 132 1.00060 1.60095 60.0% - 0s
0 0 1.60095 0 133 1.00060 1.60095 60.0% - 0s
0 0 1.60095 0 133 1.00060 1.60095 60.0% - 0s
0 2 1.60095 0 112 1.00060 1.60095 60.0% - 0s
1426 499 1.16488 27 64 1.00060 1.26245 26.2% 15.0 5s
5027 1217 1.08745 50 59 1.00060 1.09241 9.18% 12.2 10s
H 6710 818 1.0008390 1.04781 4.69% 12.5 13s
7787 38 cutoff 63 1.00084 1.01127 1.04% 12.2 15s
Cutting planes:
Learned: 3
Gomory: 32
Cover: 8
Implied bound: 37
Projected implied bound: 44
Clique: 1
MIR: 15
Flow cover: 65
Flow path: 3
Inf proof: 70
Network: 1
Explored 7997 nodes (98372 simplex iterations) in 15.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.00084 1.0006
Optimal solution found (tolerance 1.00e-02)
Best objective 1.000838958764e+00, best bound 1.009578622046e+00, gap 0.8732%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaxye6hi2.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph9_cn71h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.978
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.716474e+00, 901 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71647 0 82 0.97800 1.71647 75.5% - 0s
0 0 1.64776 0 106 0.97800 1.64776 68.5% - 0s
0 0 1.64415 0 99 0.97800 1.64415 68.1% - 0s
0 0 1.60831 0 113 0.97800 1.60831 64.4% - 0s
0 0 1.59336 0 109 0.97800 1.59336 62.9% - 0s
0 0 1.58052 0 117 0.97800 1.58052 61.6% - 0s
0 0 1.57569 0 115 0.97800 1.57569 61.1% - 0s
0 0 1.54625 0 115 0.97800 1.54625 58.1% - 0s
0 0 1.54532 0 118 0.97800 1.54532 58.0% - 0s
0 0 1.52951 0 127 0.97800 1.52951 56.4% - 0s
0 0 1.52635 0 126 0.97800 1.52635 56.1% - 0s
0 0 1.51996 0 121 0.97800 1.51996 55.4% - 0s
0 0 1.51830 0 118 0.97800 1.51830 55.2% - 0s
0 0 1.51482 0 127 0.97800 1.51482 54.9% - 0s
0 0 1.51416 0 126 0.97800 1.51416 54.8% - 0s
0 0 1.51322 0 125 0.97800 1.51322 54.7% - 0s
0 0 1.51322 0 128 0.97800 1.51322 54.7% - 0s
0 0 1.51276 0 128 0.97800 1.51276 54.7% - 0s
0 0 1.51276 0 128 0.97800 1.51276 54.7% - 0s
0 0 1.51233 0 132 0.97800 1.51233 54.6% - 0s
0 0 1.51233 0 102 0.97800 1.51233 54.6% - 0s
0 2 1.51233 0 102 0.97800 1.51233 54.6% - 0s
794 453 1.24097 20 66 0.97800 1.24097 26.9% 15.9 5s
3350 544 cutoff 41 0.97800 1.09324 11.8% 14.8 10s
Cutting planes:
Gomory: 36
Cover: 5
Implied bound: 27
Projected implied bound: 47
MIR: 23
Flow cover: 66
Flow path: 1
Inf proof: 46
Explored 5719 nodes (76802 simplex iterations) in 13.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.978
Optimal solution found (tolerance 1.00e-02)
Best objective 9.780002579289e-01, best bound 9.843712201061e-01, gap 0.6514%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3w1viito.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd3kq0ph7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.961616
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.734790e+00, 864 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73479 0 88 0.96162 1.73479 80.4% - 0s
0 0 1.67613 0 107 0.96162 1.67613 74.3% - 0s
0 0 1.67239 0 102 0.96162 1.67239 73.9% - 0s
0 0 1.63303 0 125 0.96162 1.63303 69.8% - 0s
0 0 1.61358 0 126 0.96162 1.61358 67.8% - 0s
0 0 1.59366 0 127 0.96162 1.59366 65.7% - 0s
0 0 1.58093 0 119 0.96162 1.58093 64.4% - 0s
0 0 1.57260 0 141 0.96162 1.57260 63.5% - 0s
0 0 1.57259 0 142 0.96162 1.57259 63.5% - 0s
0 0 1.56764 0 147 0.96162 1.56764 63.0% - 0s
0 0 1.56760 0 147 0.96162 1.56760 63.0% - 0s
0 0 1.56642 0 149 0.96162 1.56642 62.9% - 0s
0 0 1.56640 0 149 0.96162 1.56640 62.9% - 0s
0 0 1.56535 0 149 0.96162 1.56535 62.8% - 0s
0 0 1.56532 0 149 0.96162 1.56532 62.8% - 0s
0 0 1.56532 0 121 0.96162 1.56532 62.8% - 0s
0 2 1.56532 0 117 0.96162 1.56532 62.8% - 0s
867 492 1.14915 26 87 0.96162 1.25321 30.3% 17.4 5s
3304 784 0.97351 50 46 0.96162 1.10633 15.0% 16.1 10s
H 3512 816 0.9616793 1.09617 14.0% 16.2 10s
6014 945 1.01158 51 60 0.96168 1.04083 8.23% 15.5 15s
Cutting planes:
Learned: 3
Gomory: 42
Cover: 4
Implied bound: 35
Projected implied bound: 53
MIR: 21
StrongCG: 1
Flow cover: 55
Flow path: 3
Inf proof: 108
Explored 8651 nodes (134557 simplex iterations) in 19.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.961679 0.961616
Optimal solution found (tolerance 1.00e-02)
Best objective 9.616792579680e-01, best bound 9.705761778603e-01, gap 0.9251%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz31wsn3o.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfgzq8cs1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.947566
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.704846e+00, 939 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70485 0 89 0.94757 1.70485 79.9% - 0s
0 0 1.64454 0 116 0.94757 1.64454 73.6% - 0s
0 0 1.64094 0 112 0.94757 1.64094 73.2% - 0s
0 0 1.60031 0 127 0.94757 1.60031 68.9% - 0s
0 0 1.58571 0 123 0.94757 1.58571 67.3% - 0s
0 0 1.57702 0 128 0.94757 1.57702 66.4% - 0s
0 0 1.57318 0 126 0.94757 1.57318 66.0% - 0s
0 0 1.56168 0 135 0.94757 1.56168 64.8% - 0s
0 0 1.55860 0 141 0.94757 1.55860 64.5% - 0s
0 0 1.55071 0 135 0.94757 1.55071 63.7% - 0s
0 0 1.55042 0 141 0.94757 1.55042 63.6% - 0s
0 0 1.54557 0 144 0.94757 1.54557 63.1% - 0s
0 0 1.54557 0 147 0.94757 1.54557 63.1% - 0s
0 0 1.54510 0 143 0.94757 1.54510 63.1% - 0s
0 0 1.54366 0 138 0.94757 1.54366 62.9% - 0s
0 0 1.53256 0 146 0.94757 1.53256 61.7% - 0s
0 0 1.53225 0 141 0.94757 1.53225 61.7% - 0s
0 0 1.53142 0 148 0.94757 1.53142 61.6% - 0s
0 0 1.53133 0 149 0.94757 1.53133 61.6% - 0s
0 0 1.53131 0 148 0.94757 1.53131 61.6% - 0s
0 0 1.53131 0 124 0.94757 1.53131 61.6% - 0s
0 2 1.53131 0 123 0.94757 1.53131 61.6% - 0s
775 435 1.11575 20 115 0.94757 1.29876 37.1% 16.6 5s
3095 938 cutoff 56 0.94757 1.17883 24.4% 16.3 10s
6024 1173 cutoff 86 0.94757 1.06132 12.0% 14.2 15s
9834 783 infeasible 85 0.94757 0.99016 4.49% 12.3 20s
Cutting planes:
Learned: 2
Gomory: 44
Cover: 4
Implied bound: 27
Projected implied bound: 49
Clique: 1
MIR: 15
Flow cover: 62
Flow path: 1
Inf proof: 99
Explored 11647 nodes (141336 simplex iterations) in 22.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.947566
Optimal solution found (tolerance 1.00e-02)
Best objective 9.475662812693e-01, best bound 9.562338915101e-01, gap 0.9147%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpotszgb5e.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpep8zeggj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.950724
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.677785e+00, 927 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67778 0 92 0.95072 1.67778 76.5% - 0s
0 0 1.59029 0 116 0.95072 1.59029 67.3% - 0s
0 0 1.58922 0 116 0.95072 1.58922 67.2% - 0s
0 0 1.50841 0 119 0.95072 1.50841 58.7% - 0s
0 0 1.50501 0 118 0.95072 1.50501 58.3% - 0s
0 0 1.49045 0 129 0.95072 1.49045 56.8% - 0s
0 0 1.48896 0 115 0.95072 1.48896 56.6% - 0s
0 0 1.48501 0 123 0.95072 1.48501 56.2% - 0s
0 0 1.48426 0 123 0.95072 1.48426 56.1% - 0s
0 0 1.45845 0 132 0.95072 1.45845 53.4% - 0s
0 0 1.45682 0 133 0.95072 1.45682 53.2% - 0s
0 0 1.43668 0 132 0.95072 1.43668 51.1% - 0s
0 0 1.43600 0 132 0.95072 1.43600 51.0% - 0s
0 0 1.42572 0 132 0.95072 1.42572 50.0% - 0s
0 0 1.42400 0 128 0.95072 1.42400 49.8% - 0s
0 0 1.42400 0 128 0.95072 1.42400 49.8% - 0s
0 0 1.41746 0 123 0.95072 1.41746 49.1% - 0s
0 0 1.41593 0 132 0.95072 1.41593 48.9% - 0s
0 0 1.41541 0 129 0.95072 1.41541 48.9% - 0s
0 0 1.41539 0 134 0.95072 1.41539 48.9% - 0s
0 0 1.41354 0 125 0.95072 1.41354 48.7% - 0s
0 0 1.41353 0 125 0.95072 1.41353 48.7% - 0s
0 0 1.41221 0 132 0.95072 1.41221 48.5% - 0s
0 0 1.40634 0 124 0.95072 1.40634 47.9% - 0s
0 0 1.40611 0 125 0.95072 1.40611 47.9% - 0s
0 0 1.40608 0 123 0.95072 1.40608 47.9% - 0s
0 0 1.40493 0 127 0.95072 1.40493 47.8% - 0s
0 0 1.40490 0 127 0.95072 1.40490 47.8% - 0s
0 0 1.40482 0 127 0.95072 1.40482 47.8% - 0s
0 0 1.40482 0 104 0.95072 1.40482 47.8% - 0s
0 2 1.40482 0 103 0.95072 1.40482 47.8% - 0s
766 449 1.24981 12 104 0.95072 1.24981 31.5% 18.3 5s
2599 605 1.04507 25 70 0.95072 1.20220 26.5% 19.0 10s
5092 374 infeasible 41 0.95072 1.00671 5.89% 16.0 15s
Cutting planes:
Learned: 1
Gomory: 43
Cover: 5
Implied bound: 26
Projected implied bound: 56
MIR: 28
Flow cover: 65
Flow path: 3
Inf proof: 65
Explored 8664 nodes (119292 simplex iterations) in 19.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.950724
Optimal solution found (tolerance 1.00e-02)
Best objective 9.507237215984e-01, best bound 9.601175804397e-01, gap 0.9881%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph20gm3fj.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp802f6hep.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927729
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.632476e+00, 822 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63248 0 93 0.92773 1.63248 76.0% - 0s
0 0 1.57950 0 113 0.92773 1.57950 70.3% - 0s
0 0 1.57658 0 110 0.92773 1.57658 69.9% - 0s
0 0 1.53508 0 120 0.92773 1.53508 65.5% - 0s
0 0 1.51932 0 124 0.92773 1.51932 63.8% - 0s
0 0 1.51094 0 122 0.92773 1.51094 62.9% - 0s
0 0 1.50792 0 124 0.92773 1.50792 62.5% - 0s
0 0 1.47796 0 131 0.92773 1.47796 59.3% - 0s
0 0 1.47752 0 132 0.92773 1.47752 59.3% - 0s
0 0 1.46284 0 131 0.92773 1.46284 57.7% - 0s
0 0 1.46283 0 137 0.92773 1.46283 57.7% - 0s
0 0 1.44930 0 127 0.92773 1.44930 56.2% - 0s
0 0 1.44701 0 127 0.92773 1.44701 56.0% - 0s
0 0 1.44596 0 137 0.92773 1.44596 55.9% - 0s
0 0 1.44596 0 138 0.92773 1.44596 55.9% - 0s
0 0 1.44585 0 139 0.92773 1.44585 55.8% - 0s
0 0 1.44585 0 138 0.92773 1.44585 55.8% - 0s
0 0 1.44584 0 144 0.92773 1.44584 55.8% - 0s
0 0 1.44584 0 123 0.92773 1.44584 55.8% - 0s
0 2 1.44584 0 121 0.92773 1.44584 55.8% - 0s
820 449 1.08516 19 95 0.92773 1.22113 31.6% 21.4 5s
2904 881 0.94516 20 103 0.92773 1.11204 19.9% 18.3 10s
5344 594 0.94784 39 62 0.92773 1.00065 7.86% 16.5 15s
Cutting planes:
Learned: 2
Gomory: 45
Cover: 8
Implied bound: 37
Projected implied bound: 50
MIR: 24
Flow cover: 93
Flow path: 3
Inf proof: 60
Explored 7579 nodes (116851 simplex iterations) in 19.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.927729
Optimal solution found (tolerance 1.00e-02)
Best objective 9.277287533484e-01, best bound 9.364712536871e-01, gap 0.9424%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp34r48h05.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmper9v60dj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.903466
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.588133e+00, 908 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58813 0 92 0.90347 1.58813 75.8% - 0s
0 0 1.53638 0 118 0.90347 1.53638 70.1% - 0s
0 0 1.53296 0 112 0.90347 1.53296 69.7% - 0s
0 0 1.47793 0 130 0.90347 1.47793 63.6% - 0s
0 0 1.47639 0 131 0.90347 1.47639 63.4% - 0s
0 0 1.46289 0 132 0.90347 1.46289 61.9% - 0s
0 0 1.46013 0 126 0.90347 1.46013 61.6% - 0s
0 0 1.45516 0 126 0.90347 1.45516 61.1% - 0s
0 0 1.45412 0 131 0.90347 1.45412 60.9% - 0s
0 0 1.44957 0 130 0.90347 1.44957 60.4% - 0s
0 0 1.44782 0 131 0.90347 1.44782 60.3% - 0s
0 0 1.44669 0 137 0.90347 1.44669 60.1% - 0s
0 0 1.44408 0 133 0.90347 1.44408 59.8% - 0s
0 0 1.44093 0 137 0.90347 1.44093 59.5% - 0s
0 0 1.43989 0 134 0.90347 1.43989 59.4% - 0s
0 0 1.43842 0 135 0.90347 1.43842 59.2% - 0s
0 0 1.43804 0 134 0.90347 1.43804 59.2% - 0s
0 0 1.43688 0 134 0.90347 1.43688 59.0% - 0s
0 0 1.43688 0 133 0.90347 1.43688 59.0% - 0s
0 0 1.43688 0 122 0.90347 1.43688 59.0% - 0s
0 0 1.43688 0 119 0.90347 1.43688 59.0% - 0s
0 2 1.43688 0 119 0.90347 1.43688 59.0% - 0s
800 518 1.21068 11 117 0.90347 1.21068 34.0% 20.1 5s
2981 778 1.04567 35 76 0.90347 1.06684 18.1% 16.6 10s
5953 405 0.95462 47 57 0.90347 0.95462 5.66% 14.5 15s
H 6177 428 0.9034665 0.94902 5.04% 14.3 16s
Cutting planes:
Learned: 2
Gomory: 35
Cover: 5
Implied bound: 26
Projected implied bound: 53
MIR: 22
Flow cover: 98
Flow path: 1
Inf proof: 72
Explored 7357 nodes (102484 simplex iterations) in 17.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.903466 0.903466
Optimal solution found (tolerance 1.00e-02)
Best objective 9.034664955557e-01, best bound 9.066566162429e-01, gap 0.3531%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzw0krkdb.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6hetko1b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.88382
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.559855e+00, 902 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55985 0 96 0.88382 1.55985 76.5% - 0s
0 0 1.49154 0 118 0.88382 1.49154 68.8% - 0s
0 0 1.49069 0 113 0.88382 1.49069 68.7% - 0s
0 0 1.44871 0 127 0.88382 1.44871 63.9% - 0s
0 0 1.44605 0 123 0.88382 1.44605 63.6% - 0s
0 0 1.44083 0 126 0.88382 1.44083 63.0% - 0s
0 0 1.43901 0 123 0.88382 1.43901 62.8% - 0s
0 0 1.43388 0 131 0.88382 1.43388 62.2% - 0s
0 0 1.43300 0 127 0.88382 1.43300 62.1% - 0s
0 0 1.42653 0 128 0.88382 1.42653 61.4% - 0s
0 0 1.42653 0 128 0.88382 1.42653 61.4% - 0s
0 0 1.42314 0 131 0.88382 1.42314 61.0% - 0s
0 0 1.42288 0 132 0.88382 1.42288 61.0% - 0s
0 0 1.41843 0 129 0.88382 1.41843 60.5% - 0s
0 0 1.41843 0 130 0.88382 1.41843 60.5% - 0s
0 0 1.41832 0 130 0.88382 1.41832 60.5% - 0s
0 0 1.41832 0 130 0.88382 1.41832 60.5% - 0s
0 0 1.41832 0 130 0.88382 1.41832 60.5% - 0s
0 0 1.41832 0 122 0.88382 1.41832 60.5% - 0s
0 2 1.41832 0 120 0.88382 1.41832 60.5% - 0s
780 505 infeasible 14 0.88382 1.21229 37.2% 17.6 5s
2627 797 0.92481 52 90 0.88382 1.12006 26.7% 16.8 10s
5589 1280 cutoff 59 0.88382 1.02122 15.5% 14.9 15s
7978 1067 cutoff 44 0.88382 0.93989 6.34% 13.7 20s
10885 328 0.89434 85 56 0.88382 0.89525 1.29% 13.0 25s
Cutting planes:
Learned: 1
Gomory: 39
Cover: 1
Implied bound: 36
Projected implied bound: 64
Clique: 1
MIR: 22
Flow cover: 84
Flow path: 1
Inf proof: 88
Explored 11261 nodes (147206 simplex iterations) in 25.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.88382
Optimal solution found (tolerance 1.00e-02)
Best objective 8.838196585390e-01, best bound 8.902582946287e-01, gap 0.7285%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeih1709p.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl3kg5yep.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870951
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.553516e+00, 919 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55352 0 97 0.87095 1.55352 78.4% - 0s
0 0 1.48986 0 126 0.87095 1.48986 71.1% - 0s
0 0 1.48891 0 126 0.87095 1.48891 71.0% - 0s
0 0 1.44961 0 143 0.87095 1.44961 66.4% - 0s
0 0 1.44771 0 141 0.87095 1.44771 66.2% - 0s
0 0 1.43032 0 144 0.87095 1.43032 64.2% - 0s
0 0 1.42900 0 145 0.87095 1.42900 64.1% - 0s
0 0 1.41137 0 145 0.87095 1.41137 62.0% - 0s
0 0 1.40715 0 139 0.87095 1.40715 61.6% - 0s
0 0 1.38734 0 142 0.87095 1.38734 59.3% - 0s
0 0 1.38671 0 142 0.87095 1.38671 59.2% - 0s
0 0 1.37780 0 142 0.87095 1.37780 58.2% - 0s
0 0 1.37408 0 141 0.87095 1.37408 57.8% - 0s
0 0 1.37134 0 142 0.87095 1.37134 57.5% - 0s
0 0 1.36766 0 145 0.87095 1.36766 57.0% - 0s
0 0 1.36580 0 151 0.87095 1.36580 56.8% - 0s
0 0 1.36427 0 149 0.87095 1.36427 56.6% - 0s
0 0 1.36401 0 145 0.87095 1.36401 56.6% - 0s
0 0 1.36398 0 149 0.87095 1.36398 56.6% - 0s
0 0 1.36392 0 149 0.87095 1.36392 56.6% - 0s
0 0 1.36392 0 149 0.87095 1.36392 56.6% - 0s
0 0 1.36392 0 132 0.87095 1.36392 56.6% - 0s
0 2 1.36392 0 126 0.87095 1.36392 56.6% - 0s
775 481 1.20754 14 129 0.87095 1.20754 38.6% 17.3 5s
2803 912 infeasible 31 0.87095 1.11682 28.2% 16.3 10s
5109 1606 0.89047 46 64 0.87095 1.07148 23.0% 16.8 15s
H 5865 1638 0.8709510 1.04868 20.4% 17.3 16s
7547 1319 0.95854 41 63 0.87095 0.99771 14.6% 17.4 20s
10978 1561 0.92768 61 58 0.87095 0.95073 9.16% 15.5 25s
*11698 1475 120 0.8709720 0.94292 8.26% 15.3 26s
13031 1064 infeasible 44 0.87097 0.91796 5.39% 15.2 30s
Cutting planes:
Learned: 2
Gomory: 41
Cover: 4
Implied bound: 43
Projected implied bound: 52
MIR: 21
Flow cover: 98
Flow path: 4
Inf proof: 159
Explored 15543 nodes (225737 simplex iterations) in 33.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.870972 0.870951 0.870951
Optimal solution found (tolerance 1.00e-02)
Best objective 8.709720153664e-01, best bound 8.796324666059e-01, gap 0.9943%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjsvhgnuh.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9ckdkbzf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864738
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.538910e+00, 1108 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53891 0 107 0.86474 1.53891 78.0% - 0s
0 0 1.48656 0 127 0.86474 1.48656 71.9% - 0s
0 0 1.48408 0 123 0.86474 1.48408 71.6% - 0s
0 0 1.40002 0 134 0.86474 1.40002 61.9% - 0s
0 0 1.38736 0 132 0.86474 1.38736 60.4% - 0s
0 0 1.38098 0 132 0.86474 1.38098 59.7% - 0s
0 0 1.37870 0 133 0.86474 1.37870 59.4% - 0s
0 0 1.35105 0 142 0.86474 1.35105 56.2% - 0s
0 0 1.35035 0 142 0.86474 1.35035 56.2% - 0s
0 0 1.33957 0 151 0.86474 1.33957 54.9% - 0s
0 0 1.33926 0 154 0.86474 1.33926 54.9% - 0s
0 0 1.33442 0 156 0.86474 1.33442 54.3% - 0s
0 0 1.33442 0 160 0.86474 1.33442 54.3% - 0s
0 0 1.33436 0 160 0.86474 1.33436 54.3% - 0s
0 0 1.33436 0 160 0.86474 1.33436 54.3% - 0s
0 0 1.33433 0 160 0.86474 1.33433 54.3% - 0s
0 0 1.33433 0 128 0.86474 1.33433 54.3% - 0s
0 2 1.33433 0 128 0.86474 1.33433 54.3% - 0s
749 471 1.18513 12 116 0.86474 1.18513 37.1% 19.3 5s
2415 849 0.97313 25 94 0.86474 1.14825 32.8% 17.4 10s
4553 1486 infeasible 37 0.86474 1.08056 25.0% 17.9 15s
7286 1873 0.88212 69 50 0.86474 1.01661 17.6% 16.8 20s
H 7755 2026 0.8647377 1.01259 17.1% 16.4 21s
9341 1931 infeasible 32 0.86474 0.97534 12.8% 16.2 25s
12460 1847 0.93283 63 65 0.86474 0.93357 7.96% 15.2 30s
15022 1568 infeasible 92 0.86474 0.91158 5.42% 14.8 35s
17818 390 infeasible 119 0.86474 0.87626 1.33% 14.5 40s
Cutting planes:
Learned: 2
Gomory: 48
Cover: 5
Implied bound: 42
Projected implied bound: 63
MIR: 39
Flow cover: 89
Flow path: 3
Inf proof: 167
Explored 18216 nodes (264254 simplex iterations) in 40.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.864738 0.864738
Optimal solution found (tolerance 1.00e-02)
Best objective 8.647377165667e-01, best bound 8.732192785823e-01, gap 0.9808%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu_ajcb1h.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdnbl4rx1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.85725
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.520337e+00, 1028 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52034 0 112 0.85725 1.52034 77.4% - 0s
0 0 1.47348 0 132 0.85725 1.47348 71.9% - 0s
0 0 1.47123 0 132 0.85725 1.47123 71.6% - 0s
0 0 1.37465 0 160 0.85725 1.37465 60.4% - 0s
0 0 1.37306 0 136 0.85725 1.37306 60.2% - 0s
0 0 1.36020 0 140 0.85725 1.36020 58.7% - 0s
0 0 1.35667 0 135 0.85725 1.35667 58.3% - 0s
0 0 1.34769 0 139 0.85725 1.34769 57.2% - 0s
0 0 1.34515 0 142 0.85725 1.34515 56.9% - 0s
0 0 1.33860 0 147 0.85725 1.33860 56.2% - 0s
0 0 1.33828 0 147 0.85725 1.33828 56.1% - 0s
0 0 1.33766 0 149 0.85725 1.33766 56.0% - 0s
0 0 1.33728 0 149 0.85725 1.33728 56.0% - 0s
0 0 1.33631 0 151 0.85725 1.33631 55.9% - 0s
0 0 1.33631 0 153 0.85725 1.33631 55.9% - 0s
0 0 1.33630 0 152 0.85725 1.33630 55.9% - 0s
0 0 1.33630 0 151 0.85725 1.33630 55.9% - 0s
0 0 1.33630 0 152 0.85725 1.33630 55.9% - 0s
0 0 1.33630 0 131 0.85725 1.33630 55.9% - 0s
0 2 1.33630 0 128 0.85725 1.33630 55.9% - 0s
760 421 1.16690 10 130 0.85725 1.18440 38.2% 20.8 5s
2309 753 0.97260 34 109 0.85725 1.12195 30.9% 18.8 10s
3953 1243 0.95929 40 77 0.85725 1.05341 22.9% 16.7 15s
7223 2034 0.86276 37 89 0.85725 0.98603 15.0% 14.5 20s
* 9105 2056 119 0.8572497 0.96177 12.2% 14.1 23s
10281 2217 infeasible 34 0.85725 0.95128 11.0% 14.0 25s
13315 2250 0.88573 43 60 0.85725 0.92130 7.47% 13.5 30s
16272 2242 cutoff 62 0.85725 0.90685 5.79% 13.6 35s
18207 2089 infeasible 54 0.85725 0.89626 4.55% 13.6 40s
20811 970 0.86981 67 41 0.85725 0.86981 1.46% 13.7 45s
H21709 896 0.8572497 0.86530 0.94% 13.5 47s
Cutting planes:
Learned: 2
Gomory: 28
Cover: 6
Implied bound: 40
Projected implied bound: 41
MIR: 29
Flow cover: 84
Flow path: 3
Inf proof: 217
Explored 21728 nodes (296461 simplex iterations) in 47.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.85725 0.85725 0.85725
Optimal solution found (tolerance 1.00e-02)
Best objective 8.572497448819e-01, best bound 8.653034571071e-01, gap 0.9395%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp22ypewbt.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9zjne5zj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.847675
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.504660e+00, 1070 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50466 0 116 0.84767 1.50466 77.5% - 0s
0 0 1.44518 0 140 0.84767 1.44518 70.5% - 0s
0 0 1.44428 0 133 0.84767 1.44428 70.4% - 0s
0 0 1.40563 0 149 0.84767 1.40563 65.8% - 0s
0 0 1.40371 0 152 0.84767 1.40371 65.6% - 0s
0 0 1.38636 0 163 0.84767 1.38636 63.5% - 0s
0 0 1.38196 0 168 0.84767 1.38196 63.0% - 0s
0 0 1.36616 0 176 0.84767 1.36616 61.2% - 0s
0 0 1.36219 0 179 0.84767 1.36219 60.7% - 0s
0 0 1.34073 0 160 0.84767 1.34073 58.2% - 0s
0 0 1.33979 0 169 0.84767 1.33979 58.1% - 0s
0 0 1.33131 0 171 0.84767 1.33131 57.1% - 0s
0 0 1.32829 0 169 0.84767 1.32829 56.7% - 0s
0 0 1.32704 0 155 0.84767 1.32704 56.6% - 0s
0 0 1.32604 0 163 0.84767 1.32604 56.4% - 0s
0 0 1.32344 0 162 0.84767 1.32344 56.1% - 0s
0 0 1.32329 0 162 0.84767 1.32329 56.1% - 0s
0 0 1.32184 0 172 0.84767 1.32184 55.9% - 0s
0 0 1.32183 0 172 0.84767 1.32183 55.9% - 0s
0 0 1.32182 0 175 0.84767 1.32182 55.9% - 0s
0 0 1.32182 0 176 0.84767 1.32182 55.9% - 0s
0 0 1.32179 0 176 0.84767 1.32179 55.9% - 0s
0 0 1.32179 0 154 0.84767 1.32179 55.9% - 0s
0 2 1.32179 0 154 0.84767 1.32179 55.9% - 0s
771 475 infeasible 12 0.84767 1.19307 40.7% 25.1 5s
2197 776 1.12601 29 121 0.84767 1.15345 36.1% 20.5 10s
4246 1512 0.85747 34 118 0.84767 1.11078 31.0% 19.5 15s
6474 1941 infeasible 58 0.84767 1.06168 25.2% 18.2 20s
9515 2322 cutoff 45 0.84767 1.00305 18.3% 16.7 25s
11812 2474 cutoff 59 0.84767 0.97046 14.5% 15.8 30s
H12789 2413 0.8476748 0.95496 12.7% 15.8 32s
13646 2179 0.91757 47 115 0.84767 0.94067 11.0% 15.9 35s
16170 1603 infeasible 57 0.84767 0.90573 6.85% 15.7 40s
18558 1055 infeasible 76 0.84767 0.88085 3.91% 15.4 45s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 4
Implied bound: 50
Projected implied bound: 53
MIR: 19
Flow cover: 105
Flow path: 4
Inf proof: 210
Explored 20431 nodes (312494 simplex iterations) in 48.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.847675 0.847675
Optimal solution found (tolerance 1.00e-02)
Best objective 8.476747753921e-01, best bound 8.551632686068e-01, gap 0.8834%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvzphnjqt.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptzeqy8ee.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.841585
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.488045e+00, 1205 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48804 0 117 0.84158 1.48804 76.8% - 0s
0 0 1.44145 0 134 0.84158 1.44145 71.3% - 0s
0 0 1.44084 0 128 0.84158 1.44084 71.2% - 0s
0 0 1.35660 0 153 0.84158 1.35660 61.2% - 0s
0 0 1.35445 0 150 0.84158 1.35445 60.9% - 0s
0 0 1.34080 0 167 0.84158 1.34080 59.3% - 0s
0 0 1.33642 0 157 0.84158 1.33642 58.8% - 0s
0 0 1.32104 0 176 0.84158 1.32104 57.0% - 0s
0 0 1.31709 0 175 0.84158 1.31709 56.5% - 0s
0 0 1.29898 0 181 0.84158 1.29898 54.3% - 0s
0 0 1.29855 0 184 0.84158 1.29855 54.3% - 0s
0 0 1.29194 0 181 0.84158 1.29194 53.5% - 0s
0 0 1.28894 0 181 0.84158 1.28894 53.2% - 0s
0 0 1.28523 0 167 0.84158 1.28523 52.7% - 0s
0 0 1.28364 0 167 0.84158 1.28364 52.5% - 0s
0 0 1.28089 0 171 0.84158 1.28089 52.2% - 0s
0 0 1.27975 0 160 0.84158 1.27975 52.1% - 0s
0 0 1.27662 0 159 0.84158 1.27662 51.7% - 0s
0 0 1.27656 0 172 0.84158 1.27656 51.7% - 0s
0 0 1.27649 0 170 0.84158 1.27649 51.7% - 0s
0 0 1.27648 0 169 0.84158 1.27648 51.7% - 0s
0 0 1.27508 0 168 0.84158 1.27508 51.5% - 0s
0 0 1.27507 0 166 0.84158 1.27507 51.5% - 0s
0 0 1.27507 0 167 0.84158 1.27507 51.5% - 0s
0 0 1.27507 0 151 0.84158 1.27507 51.5% - 0s
0 2 1.27507 0 149 0.84158 1.27507 51.5% - 0s
764 470 1.05016 19 137 0.84158 1.17218 39.3% 14.7 5s
2070 695 1.01967 39 107 0.84158 1.11220 32.2% 19.5 10s
4083 1204 infeasible 29 0.84158 1.05143 24.9% 19.5 15s
6123 1565 0.99075 33 116 0.84158 0.99533 18.3% 18.2 20s
9577 1994 infeasible 59 0.84158 0.93882 11.6% 15.6 25s
12684 2624 0.91017 51 77 0.84158 0.91882 9.18% 14.5 30s
H12685 2624 0.8415846 0.91882 9.18% 14.5 30s
14826 2474 0.88318 48 79 0.84158 0.90692 7.76% 14.6 35s
17259 1844 0.88632 76 55 0.84158 0.88751 5.46% 15.0 40s
19959 1147 infeasible 75 0.84158 0.86860 3.21% 14.9 45s
Cutting planes:
Gomory: 57
Cover: 7
Implied bound: 56
Projected implied bound: 46
Clique: 3
MIR: 30
Flow cover: 122
Flow path: 4
Inf proof: 219
Explored 21818 nodes (321949 simplex iterations) in 47.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.841585 0.841585
Optimal solution found (tolerance 1.00e-02)
Best objective 8.415845854872e-01, best bound 8.498283221019e-01, gap 0.9795%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp159jsogm.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7plf31r6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.825413
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.453798e+00, 1225 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45380 0 121 0.82541 1.45380 76.1% - 0s
0 0 1.42426 0 137 0.82541 1.42426 72.6% - 0s
0 0 1.42187 0 127 0.82541 1.42187 72.3% - 0s
0 0 1.36021 0 160 0.82541 1.36021 64.8% - 0s
0 0 1.35924 0 165 0.82541 1.35924 64.7% - 0s
0 0 1.35107 0 178 0.82541 1.35107 63.7% - 0s
0 0 1.35035 0 170 0.82541 1.35035 63.6% - 0s
0 0 1.34406 0 170 0.82541 1.34406 62.8% - 0s
0 0 1.34401 0 179 0.82541 1.34401 62.8% - 0s
0 0 1.33987 0 180 0.82541 1.33987 62.3% - 0s
0 0 1.33982 0 183 0.82541 1.33982 62.3% - 0s
0 0 1.33977 0 184 0.82541 1.33977 62.3% - 0s
0 0 1.33951 0 182 0.82541 1.33951 62.3% - 0s
0 0 1.33951 0 147 0.82541 1.33951 62.3% - 0s
0 2 1.33951 0 145 0.82541 1.33951 62.3% - 0s
759 505 1.16528 13 131 0.82541 1.16528 41.2% 19.3 5s
2621 924 0.95012 23 119 0.82541 1.06694 29.3% 14.8 10s
4790 1427 0.86667 57 99 0.82541 0.99270 20.3% 14.0 15s
7557 1905 0.90701 52 95 0.82541 0.95477 15.7% 12.9 20s
10239 2154 0.82690 105 32 0.82541 0.93185 12.9% 12.3 25s
12030 1929 infeasible 50 0.82541 0.90828 10.0% 12.9 30s
H12712 1870 0.8254130 0.90218 9.30% 13.1 32s
13575 1533 infeasible 47 0.82541 0.88911 7.72% 13.3 35s
15220 1148 cutoff 56 0.82541 0.86477 4.77% 13.5 41s
16969 602 0.83522 98 59 0.82541 0.83914 1.66% 13.2 45s
Cutting planes:
Learned: 1
Gomory: 18
Cover: 4
Implied bound: 46
Projected implied bound: 61
MIR: 17
Flow cover: 113
Flow path: 3
Inf proof: 216
Explored 19282 nodes (242572 simplex iterations) in 48.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.825413 0.825413
Optimal solution found (tolerance 1.00e-02)
Best objective 8.254129911525e-01, best bound 8.315557839355e-01, gap 0.7442%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1wf7civl.pyomo.lp
Reading time = 0.02 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo0r3p_8l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.816068
Presolve removed 650 rows and 405 columns
Presolve time: 0.06s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.436215e+00, 1179 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43622 0 117 0.81607 1.43622 76.0% - 0s
0 0 1.39928 0 141 0.81607 1.39928 71.5% - 0s
0 0 1.39893 0 145 0.81607 1.39893 71.4% - 0s
0 0 1.32061 0 154 0.81607 1.32061 61.8% - 0s
0 0 1.31896 0 156 0.81607 1.31896 61.6% - 0s
0 0 1.30237 0 190 0.81607 1.30237 59.6% - 0s
0 0 1.30091 0 176 0.81607 1.30091 59.4% - 0s
0 0 1.29524 0 186 0.81607 1.29524 58.7% - 0s
0 0 1.29452 0 180 0.81607 1.29452 58.6% - 0s
0 0 1.28080 0 182 0.81607 1.28080 56.9% - 0s
0 0 1.27942 0 189 0.81607 1.27942 56.8% - 0s
0 0 1.26220 0 197 0.81607 1.26220 54.7% - 0s
0 0 1.26067 0 207 0.81607 1.26067 54.5% - 0s
0 0 1.24741 0 194 0.81607 1.24741 52.9% - 0s
0 0 1.24723 0 188 0.81607 1.24723 52.8% - 0s
0 0 1.24431 0 176 0.81607 1.24431 52.5% - 0s
0 0 1.24288 0 172 0.81607 1.24288 52.3% - 0s
0 0 1.24101 0 172 0.81607 1.24101 52.1% - 0s
0 0 1.24100 0 173 0.81607 1.24100 52.1% - 0s
0 0 1.24048 0 170 0.81607 1.24048 52.0% - 0s
0 0 1.24014 0 176 0.81607 1.24014 52.0% - 0s
0 0 1.23998 0 174 0.81607 1.23998 51.9% - 0s
0 0 1.23998 0 159 0.81607 1.23998 51.9% - 0s
0 2 1.23998 0 156 0.81607 1.23998 51.9% - 0s
770 515 1.02880 70 155 0.81607 1.14771 40.6% 11.8 5s
1668 629 1.03165 35 135 0.81607 1.08887 33.4% 18.8 10s
3977 1365 0.98153 56 118 0.81607 1.03663 27.0% 16.7 15s
6464 1782 infeasible 73 0.81607 0.97475 19.4% 15.2 20s
9176 1876 infeasible 56 0.81607 0.94156 15.4% 14.5 25s
12240 2259 0.81980 100 54 0.81607 0.91363 12.0% 14.0 30s
13924 2395 0.85215 68 100 0.81607 0.89973 10.3% 14.1 35s
16778 2448 0.82857 70 109 0.81607 0.87855 7.66% 14.2 40s
20129 2589 0.81691 95 43 0.81607 0.85877 5.23% 14.1 45s
22618 2050 infeasible 105 0.81607 0.84000 2.93% 14.3 50s
25635 1363 infeasible 86 0.81607 0.82976 1.68% 14.1 55s
Cutting planes:
Learned: 1
Gomory: 46
Cover: 12
Implied bound: 49
Projected implied bound: 66
MIR: 35
Flow cover: 117
Flow path: 2
Inf proof: 234
Explored 27178 nodes (384756 simplex iterations) in 57.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.816068
Optimal solution found (tolerance 1.00e-02)
Best objective 8.160681762585e-01, best bound 8.240228824373e-01, gap 0.9748%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8e9pbknd.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptkirfhf5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.80789
Presolve removed 663 rows and 413 columns
Presolve time: 0.04s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.439566e+00, 1292 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43957 0 125 0.80789 1.43957 78.2% - 0s
0 0 1.38582 0 153 0.80789 1.38582 71.5% - 0s
0 0 1.38497 0 147 0.80789 1.38497 71.4% - 0s
0 0 1.34442 0 179 0.80789 1.34442 66.4% - 0s
0 0 1.34144 0 176 0.80789 1.34144 66.0% - 0s
0 0 1.31730 0 187 0.80789 1.31730 63.1% - 0s
0 0 1.31261 0 185 0.80789 1.31261 62.5% - 0s
0 0 1.29495 0 191 0.80789 1.29495 60.3% - 0s
0 0 1.29313 0 192 0.80789 1.29313 60.1% - 0s
0 0 1.28461 0 193 0.80789 1.28461 59.0% - 0s
0 0 1.28445 0 201 0.80789 1.28445 59.0% - 0s
0 0 1.27551 0 192 0.80789 1.27551 57.9% - 0s
0 0 1.27411 0 192 0.80789 1.27411 57.7% - 0s
0 0 1.27292 0 198 0.80789 1.27292 57.6% - 0s
0 0 1.27214 0 198 0.80789 1.27214 57.5% - 0s
0 0 1.26864 0 197 0.80789 1.26864 57.0% - 0s
0 0 1.26669 0 197 0.80789 1.26669 56.8% - 0s
0 0 1.26559 0 200 0.80789 1.26559 56.7% - 0s
0 0 1.26559 0 200 0.80789 1.26559 56.7% - 0s
0 0 1.26559 0 200 0.80789 1.26559 56.7% - 0s
0 0 1.26559 0 167 0.80789 1.26559 56.7% - 0s
0 2 1.26559 0 163 0.80789 1.26559 56.7% - 1s
775 523 0.93600 26 155 0.80789 1.16580 44.3% 15.0 5s
969 585 1.03754 27 127 0.80789 1.12430 39.2% 22.7 10s
2802 1032 0.99707 42 131 0.80789 1.07288 32.8% 18.8 15s
H 4981 1733 0.8078905 1.01271 25.4% 17.8 19s
4982 1723 infeasible 39 0.80789 1.01271 25.4% 17.8 20s
6822 2173 0.84560 47 80 0.80789 0.99191 22.8% 17.8 25s
H 8732 2434 0.8078905 0.97230 20.3% 18.1 29s
9012 2492 0.93788 48 123 0.80789 0.96951 20.0% 18.1 30s
11520 2956 0.89526 58 120 0.80789 0.94976 17.6% 17.7 35s
H12303 3100 0.8079352 0.94421 16.9% 17.7 37s
13561 3282 0.88032 40 122 0.80794 0.93783 16.1% 17.5 40s
16226 3534 infeasible 35 0.80794 0.92221 14.1% 17.4 45s
18751 3789 infeasible 52 0.80794 0.90595 12.1% 17.3 50s
21104 4126 0.87522 99 167 0.80794 0.89567 10.9% 17.1 70s
21117 4135 0.88995 99 226 0.80794 0.89567 10.9% 17.1 75s
21124 4139 0.81808 114 237 0.80794 0.89567 10.9% 17.1 81s
21128 4142 0.81009 140 227 0.80794 0.89567 10.9% 17.1 85s
21132 4145 0.82095 73 231 0.80794 0.89567 10.9% 17.1 90s
21136 4147 0.86280 71 246 0.80794 0.89567 10.9% 17.1 97s
21139 4149 0.84747 46 274 0.80794 0.89567 10.9% 17.1 100s
21143 4152 0.85146 101 213 0.80794 0.89567 10.9% 17.1 105s
21147 4155 0.86497 72 222 0.80794 0.89567 10.9% 17.1 111s
21152 4158 0.89357 99 230 0.80794 0.89567 10.9% 17.1 115s
21156 4161 0.85154 58 237 0.80794 0.89567 10.9% 17.1 120s
21161 4164 0.85455 71 251 0.80794 0.89567 10.9% 17.1 126s
21164 4166 0.88682 54 251 0.80794 0.89567 10.9% 17.1 130s
21169 4169 0.81494 121 253 0.80794 0.89567 10.9% 17.1 135s
21174 4173 0.81351 106 293 0.80794 0.89567 10.9% 17.1 140s
21177 4175 0.81697 59 249 0.80794 0.89567 10.9% 17.1 145s
21181 4177 0.89110 63 250 0.80794 0.89567 10.9% 17.1 150s
21185 4180 0.83722 69 249 0.80794 0.89567 10.9% 17.1 155s
21189 4183 0.88776 59 0 0.80794 0.89567 10.9% 17.1 168s
21190 4183 0.86147 56 251 0.80794 0.89567 10.9% 17.1 185s
21192 4185 infeasible 26 0.80794 0.89567 10.9% 20.9 192s
21195 4185 0.89567 28 249 0.80794 0.89567 10.9% 20.9 198s
21197 4184 infeasible 29 0.80794 0.89567 10.9% 21.0 204s
21199 4183 0.89567 30 231 0.80794 0.89567 10.9% 21.0 209s
21201 4184 0.85540 31 208 0.80794 0.89567 10.9% 21.0 215s
21335 4214 0.89567 45 194 0.80794 0.89567 10.9% 21.3 220s
H21426 4007 0.8079352 0.89567 10.9% 21.3 221s
21529 4011 infeasible 41 0.80794 0.89567 10.9% 21.5 225s
21705 4021 infeasible 42 0.80794 0.89567 10.9% 22.1 230s
22098 4040 0.86737 73 153 0.80794 0.89567 10.9% 23.1 235s
22683 4113 infeasible 43 0.80794 0.89567 10.9% 23.6 240s
23308 4185 infeasible 49 0.80794 0.89567 10.9% 24.2 245s
24117 4222 0.88388 47 137 0.80794 0.89567 10.9% 24.7 250s
25182 4229 0.86619 52 128 0.80794 0.89567 10.9% 25.0 256s
25911 4136 0.82065 67 109 0.80794 0.89567 10.9% 25.3 261s
26465 4107 infeasible 49 0.80794 0.89567 10.9% 25.4 265s
27050 3917 infeasible 42 0.80794 0.89567 10.9% 25.5 270s
28082 3749 infeasible 43 0.80794 0.89567 10.9% 25.7 275s
29326 3537 0.81333 79 66 0.80794 0.89276 10.5% 25.8 281s
30103 3322 cutoff 69 0.80794 0.88730 9.82% 26.0 286s
30955 3135 0.84795 42 126 0.80794 0.88331 9.33% 26.4 291s
31780 2933 infeasible 78 0.80794 0.87975 8.89% 26.7 296s
32609 2706 infeasible 76 0.80794 0.87654 8.49% 27.1 302s
33320 2497 0.83291 77 80 0.80794 0.87227 7.96% 27.3 307s
34191 2516 0.82273 72 100 0.80794 0.86949 7.62% 27.7 311s
34538 2558 infeasible 69 0.80794 0.86741 7.36% 28.0 315s
34957 2463 infeasible 48 0.80794 0.86512 7.08% 28.2 320s
35743 2430 0.86113 80 123 0.80794 0.86203 6.70% 28.5 325s
36625 2448 infeasible 78 0.80794 0.85992 6.43% 28.8 330s
37746 2375 0.81712 57 119 0.80794 0.85371 5.67% 28.8 336s
38782 2250 0.84283 52 129 0.80794 0.84881 5.06% 29.1 341s
39409 2153 0.84446 55 127 0.80794 0.84506 4.59% 29.2 345s
40443 2059 cutoff 49 0.80794 0.84101 4.09% 29.6 350s
41431 1785 0.83299 73 128 0.80794 0.83622 3.50% 29.8 356s
42302 1639 cutoff 57 0.80794 0.83243 3.03% 30.0 360s
43339 1549 infeasible 78 0.80794 0.82876 2.58% 30.1 366s
43911 1501 cutoff 63 0.80794 0.82688 2.34% 30.4 370s
45162 1248 0.81998 94 52 0.80794 0.82264 1.82% 30.2 375s
46600 900 cutoff 88 0.80794 0.81778 1.22% 30.2 380s
H46855 830 0.8079352 0.81699 1.12% 30.1 381s
Cutting planes:
Learned: 2
Gomory: 83
Cover: 5
Implied bound: 14
Projected implied bound: 20
Clique: 4
MIR: 46
StrongCG: 5
Flow cover: 139
Flow path: 1
Inf proof: 47
Explored 47217 nodes (1421115 simplex iterations) in 383.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.807935 0.807935 0.807935 ... 0.80789
Optimal solution found (tolerance 1.00e-02)
Best objective 8.079351647702e-01, best bound 8.158624219785e-01, gap 0.9812%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsscpsb_v.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpic098_yd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.802966
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.421755e+00, 1192 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42176 0 133 0.80297 1.42176 77.1% - 0s
0 0 1.39177 0 151 0.80297 1.39177 73.3% - 0s
0 0 1.39000 0 155 0.80297 1.39000 73.1% - 0s
0 0 1.33995 0 196 0.80297 1.33995 66.9% - 0s
0 0 1.33781 0 176 0.80297 1.33781 66.6% - 0s
0 0 1.32627 0 175 0.80297 1.32627 65.2% - 0s
0 0 1.32495 0 177 0.80297 1.32495 65.0% - 0s
0 0 1.31826 0 189 0.80297 1.31826 64.2% - 0s
0 0 1.31781 0 184 0.80297 1.31781 64.1% - 0s
0 0 1.31729 0 177 0.80297 1.31729 64.1% - 0s
0 0 1.31665 0 187 0.80297 1.31665 64.0% - 0s
0 0 1.31520 0 187 0.80297 1.31520 63.8% - 0s
0 0 1.31514 0 198 0.80297 1.31514 63.8% - 0s
0 0 1.31277 0 192 0.80297 1.31277 63.5% - 0s
0 0 1.31131 0 194 0.80297 1.31131 63.3% - 0s
0 0 1.31104 0 196 0.80297 1.31104 63.3% - 0s
0 0 1.31081 0 196 0.80297 1.31081 63.2% - 0s
0 0 1.31074 0 195 0.80297 1.31074 63.2% - 0s
0 0 1.31072 0 195 0.80297 1.31072 63.2% - 0s
0 0 1.31072 0 163 0.80297 1.31072 63.2% - 0s
0 2 1.31072 0 158 0.80297 1.31072 63.2% - 0s
741 433 1.09894 27 148 0.80297 1.15475 43.8% 15.0 5s
855 473 1.06525 40 124 0.80297 1.14941 43.1% 23.7 10s
2549 1013 cutoff 58 0.80297 1.08781 35.5% 19.7 15s
4211 1891 infeasible 25 0.80297 1.05818 31.8% 18.9 20s
6177 2807 infeasible 37 0.80297 1.04327 29.9% 18.6 25s
H 6492 2930 0.8029663 1.04170 29.7% 18.9 27s
7177 2942 0.93232 44 117 0.80297 1.02758 28.0% 19.7 30s
9257 2868 infeasible 46 0.80297 0.98710 22.9% 18.9 35s
H 9326 2890 0.8029663 0.98707 22.9% 18.8 35s
11340 2459 0.88174 43 113 0.80297 0.94160 17.3% 17.8 40s
13645 1990 0.86429 35 98 0.80297 0.90039 12.1% 16.5 45s
15483 2409 0.82851 79 54 0.80297 0.89147 11.0% 15.6 50s
18587 2654 cutoff 60 0.80297 0.87492 8.96% 14.9 55s
21178 2799 infeasible 78 0.80297 0.86198 7.35% 14.4 60s
23187 2798 infeasible 56 0.80297 0.85570 6.57% 14.4 65s
25450 2465 0.83882 62 92 0.80297 0.84462 5.19% 14.5 70s
27951 2275 0.80764 71 76 0.80297 0.83380 3.84% 14.3 75s
30109 1641 0.82023 70 57 0.80297 0.82251 2.43% 14.4 80s
Cutting planes:
Learned: 3
Gomory: 50
Cover: 4
Implied bound: 55
Projected implied bound: 73
Clique: 2
MIR: 39
StrongCG: 1
Flow cover: 146
Flow path: 4
Inf proof: 270
Explored 32136 nodes (465313 simplex iterations) in 84.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.802966 0.802966 0.802966
Optimal solution found (tolerance 1.00e-02)
Best objective 8.029663402315e-01, best bound 8.107666921021e-01, gap 0.9714%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcebnwdwt.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6s7asb86.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.801928
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.402444e+00, 1420 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40244 0 133 0.80193 1.40244 74.9% - 0s
0 0 1.35167 0 164 0.80193 1.35167 68.6% - 0s
0 0 1.35093 0 156 0.80193 1.35093 68.5% - 0s
0 0 1.31723 0 179 0.80193 1.31723 64.3% - 0s
0 0 1.31535 0 180 0.80193 1.31535 64.0% - 0s
0 0 1.31072 0 181 0.80193 1.31072 63.4% - 0s
0 0 1.30920 0 181 0.80193 1.30920 63.3% - 0s
0 0 1.30384 0 195 0.80193 1.30384 62.6% - 0s
0 0 1.30172 0 194 0.80193 1.30172 62.3% - 0s
0 0 1.29612 0 193 0.80193 1.29612 61.6% - 0s
0 0 1.29610 0 194 0.80193 1.29610 61.6% - 0s
0 0 1.29412 0 196 0.80193 1.29412 61.4% - 0s
0 0 1.29412 0 196 0.80193 1.29412 61.4% - 0s
0 0 1.29210 0 196 0.80193 1.29210 61.1% - 0s
0 0 1.29206 0 187 0.80193 1.29206 61.1% - 0s
0 0 1.29202 0 202 0.80193 1.29202 61.1% - 0s
0 0 1.29197 0 201 0.80193 1.29197 61.1% - 0s
0 0 1.29175 0 200 0.80193 1.29175 61.1% - 0s
0 0 1.29175 0 179 0.80193 1.29175 61.1% - 0s
0 2 1.29175 0 174 0.80193 1.29175 61.1% - 0s
763 484 0.84269 56 155 0.80193 1.13881 42.0% 15.8 5s
1445 676 0.87006 23 161 0.80193 1.10861 38.2% 21.7 10s
3976 1758 0.97439 31 157 0.80193 1.06810 33.2% 18.1 15s
H 4381 1902 0.8026966 1.06223 32.3% 18.1 15s
H 4860 2027 0.8026966 1.05409 31.3% 18.4 17s
6248 2387 cutoff 30 0.80270 1.03177 28.5% 17.8 20s
7419 2360 cutoff 58 0.80270 0.99119 23.5% 17.7 25s
10213 2743 infeasible 59 0.80270 0.94490 17.7% 15.9 30s
12895 3111 infeasible 68 0.80270 0.92622 15.4% 15.2 35s
15121 3227 infeasible 51 0.80270 0.90917 13.3% 14.9 40s
17280 3069 0.89262 79 96 0.80270 0.89262 11.2% 15.2 45s
19013 3057 infeasible 69 0.80270 0.88151 9.82% 15.3 50s
20665 3180 0.82804 51 179 0.80270 0.87288 8.74% 15.3 70s
20679 3189 0.81192 85 227 0.80270 0.87288 8.74% 15.3 75s
20684 3193 0.82382 60 253 0.80270 0.87288 8.74% 15.3 80s
20688 3195 0.86765 66 234 0.80270 0.87288 8.74% 15.3 86s
20693 3199 0.83793 65 249 0.80270 0.87288 8.74% 15.3 90s
20697 3201 0.84368 77 247 0.80270 0.87288 8.74% 15.3 95s
20701 3204 0.81111 80 265 0.80270 0.87288 8.74% 15.3 100s
20706 3207 0.81623 91 260 0.80270 0.87288 8.74% 15.3 105s
20710 3210 0.85210 40 252 0.80270 0.87288 8.74% 15.3 110s
20715 3213 0.83096 70 256 0.80270 0.87288 8.74% 15.3 115s
20720 3217 0.80782 68 264 0.80270 0.87288 8.74% 15.3 120s
20725 3220 0.87180 42 255 0.80270 0.87288 8.74% 15.3 125s
20730 3223 0.85330 86 270 0.80270 0.87288 8.74% 15.3 130s
20735 3227 0.82142 76 271 0.80270 0.87288 8.74% 15.2 135s
20739 3229 0.83976 113 259 0.80270 0.87288 8.74% 15.2 140s
20743 3232 0.80319 68 260 0.80270 0.87288 8.74% 15.2 146s
20747 3235 0.85808 62 255 0.80270 0.87288 8.74% 15.2 150s
20752 3238 0.85283 62 269 0.80270 0.87288 8.74% 15.2 155s
20757 3241 0.80536 105 273 0.80270 0.87288 8.74% 15.2 160s
20762 3245 0.87172 65 280 0.80270 0.87288 8.74% 15.2 165s
20765 3247 0.82804 51 280 0.80270 0.87288 8.74% 15.2 170s
20769 3249 0.82106 83 282 0.80270 0.87288 8.74% 15.2 175s
20773 3252 0.82821 63 270 0.80270 0.87288 8.74% 15.2 180s
20777 3255 0.85007 55 281 0.80270 0.87288 8.74% 15.2 185s
20781 3257 0.82812 75 279 0.80270 0.87288 8.74% 15.2 190s
20785 3260 0.80650 101 280 0.80270 0.87288 8.74% 15.2 195s
Cutting planes:
Learned: 4
Gomory: 121
Cover: 3
Implied bound: 25
Projected implied bound: 18
Clique: 8
MIR: 63
StrongCG: 10
Flow cover: 232
Flow path: 3
Inf proof: 13
Zero half: 1
Explored 20788 nodes (358515 simplex iterations) in 200.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.802697 0.802697 0.801928
Optimal solution found (tolerance 1.00e-02)
Best objective 8.026966137310e-01, best bound 8.026966137310e-01, gap 0.0000%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsabtwj8d.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwj37yara.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794999
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.384539e+00, 1273 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38454 0 137 0.79500 1.38454 74.2% - 0s
0 0 1.34875 0 161 0.79500 1.34875 69.7% - 0s
0 0 1.34661 0 158 0.79500 1.34661 69.4% - 0s
0 0 1.30433 0 203 0.79500 1.30433 64.1% - 0s
0 0 1.30287 0 180 0.79500 1.30287 63.9% - 0s
0 0 1.29448 0 190 0.79500 1.29448 62.8% - 0s
0 0 1.29069 0 183 0.79500 1.29069 62.4% - 0s
0 0 1.28027 0 180 0.79500 1.28027 61.0% - 0s
0 0 1.27965 0 187 0.79500 1.27965 61.0% - 0s
0 0 1.27745 0 194 0.79500 1.27745 60.7% - 0s
0 0 1.27698 0 205 0.79500 1.27698 60.6% - 0s
0 0 1.27617 0 202 0.79500 1.27617 60.5% - 0s
0 0 1.27563 0 203 0.79500 1.27563 60.5% - 0s
0 0 1.27523 0 202 0.79500 1.27523 60.4% - 0s
0 0 1.27517 0 208 0.79500 1.27517 60.4% - 0s
0 0 1.27511 0 209 0.79500 1.27511 60.4% - 0s
0 0 1.27510 0 210 0.79500 1.27510 60.4% - 0s
0 0 1.27503 0 209 0.79500 1.27503 60.4% - 0s
0 0 1.27503 0 186 0.79500 1.27503 60.4% - 0s
0 2 1.27503 0 184 0.79500 1.27503 60.4% - 1s
740 473 1.08516 15 156 0.79500 1.14317 43.8% 17.3 5s
976 558 0.99107 42 126 0.79500 1.13444 42.7% 25.3 10s
2430 975 0.93324 42 120 0.79500 1.09144 37.3% 22.8 15s
4464 1952 0.85128 43 107 0.79500 1.06119 33.5% 22.9 20s
5839 2458 0.96700 39 117 0.79500 1.04188 31.1% 23.3 25s
8542 3063 cutoff 24 0.79500 0.99252 24.8% 22.4 30s
10654 3064 infeasible 32 0.79500 0.94623 19.0% 21.6 35s
12809 3130 0.86578 49 104 0.79500 0.91775 15.4% 20.5 40s
15263 3086 cutoff 37 0.79500 0.89516 12.6% 19.5 45s
18626 3436 infeasible 63 0.79500 0.87902 10.6% 18.4 50s
20774 3503 0.82770 62 67 0.79500 0.87240 9.74% 18.1 55s
21556 3651 0.81166 58 186 0.79500 0.86868 9.27% 18.0 73s
21565 3657 0.81976 85 218 0.79500 0.86868 9.27% 18.0 75s
21570 3660 0.86746 39 211 0.79500 0.86868 9.27% 18.0 80s
21575 3664 0.85967 56 233 0.79500 0.86868 9.27% 18.0 86s
21577 3665 0.82883 31 236 0.79500 0.86868 9.27% 18.0 90s
21581 3668 0.84650 41 246 0.79500 0.86868 9.27% 18.0 96s
21583 3669 0.86428 36 245 0.79500 0.86868 9.27% 18.0 100s
21587 3672 0.83855 51 248 0.79500 0.86868 9.27% 17.9 105s
21591 3674 0.85048 45 252 0.79500 0.86868 9.27% 17.9 110s
21595 3677 0.83219 60 250 0.79500 0.86868 9.27% 17.9 115s
21599 3680 0.79978 75 259 0.79500 0.86868 9.27% 17.9 120s
21604 3683 0.85912 53 265 0.79500 0.86868 9.27% 17.9 125s
21609 3686 0.86322 35 266 0.79500 0.86868 9.27% 17.9 130s
21613 3689 0.86338 27 242 0.79500 0.86868 9.27% 17.9 135s
21617 3692 0.81495 43 236 0.79500 0.86868 9.27% 17.9 140s
21621 3694 0.82929 64 239 0.79500 0.86868 9.27% 17.9 145s
21626 3698 0.81703 66 242 0.79500 0.86868 9.27% 17.9 150s
21629 3700 0.86229 47 242 0.79500 0.86868 9.27% 17.9 155s
21632 3702 0.86445 46 279 0.79500 0.86868 9.27% 17.9 160s
21635 3704 0.81531 40 247 0.79500 0.86868 9.27% 17.9 165s
21639 3706 0.82378 35 249 0.79500 0.86868 9.27% 17.9 170s
21644 3710 0.81994 64 251 0.79500 0.86868 9.27% 17.9 175s
21647 3712 0.80344 35 257 0.79500 0.86868 9.27% 17.9 180s
21651 3714 0.84572 63 245 0.79500 0.86868 9.27% 17.9 185s
21655 3717 0.83329 51 250 0.79500 0.86868 9.27% 17.9 190s
21659 3720 0.85146 32 257 0.79500 0.86868 9.27% 17.9 195s
21664 3723 0.85749 51 273 0.79500 0.86868 9.27% 17.9 200s
21669 3726 0.80984 66 282 0.79500 0.86868 9.27% 17.9 205s
21672 3728 0.86778 52 279 0.79500 0.86868 9.27% 17.9 210s
21675 3730 0.85967 56 244 0.79500 0.86868 9.27% 17.9 215s
H21678 3543 0.7949987 0.86868 9.27% 17.9 221s
21683 3547 0.86428 36 279 0.79500 0.86868 9.27% 17.9 225s
21687 3549 0.83855 51 280 0.79500 0.86868 9.27% 17.9 230s
21692 3553 0.82038 57 273 0.79500 0.86868 9.27% 17.9 235s
21697 3556 0.82826 40 277 0.79500 0.86868 9.27% 17.9 240s
21703 3560 0.82042 77 275 0.79500 0.86868 9.27% 17.9 245s
21708 3563 0.83569 49 283 0.79500 0.86868 9.27% 17.8 250s
21711 3565 0.82804 59 277 0.79500 0.86868 9.27% 17.8 255s
21715 3568 0.82513 75 280 0.79500 0.86868 9.27% 17.8 260s
21719 3571 0.86542 50 282 0.79500 0.86868 9.27% 17.8 265s
21723 3573 0.84863 34 287 0.79500 0.86868 9.27% 17.8 270s
21727 3576 0.84198 40 270 0.79500 0.86868 9.27% 17.8 275s
21733 3580 0.82577 35 268 0.79500 0.86868 9.27% 17.8 280s
21739 3584 0.82378 35 267 0.79500 0.86868 9.27% 17.8 286s
21742 3586 0.81320 37 289 0.79500 0.86868 9.27% 17.8 290s
21746 3589 0.82657 50 278 0.79500 0.86868 9.27% 17.8 295s
21750 3591 0.82087 52 274 0.79500 0.86868 9.27% 17.8 300s
21755 3595 0.83329 51 281 0.79500 0.86868 9.27% 17.8 305s
21759 3597 0.85146 32 265 0.79500 0.86868 9.27% 17.8 311s
21761 3599 0.84248 45 262 0.79500 0.86868 9.27% 17.8 315s
21764 3601 0.85749 51 255 0.79500 0.86868 9.27% 17.8 320s
21765 3603 0.86868 23 238 0.79500 0.86868 9.27% 20.3 329s
21767 3602 0.86868 24 217 0.79500 0.86868 9.27% 20.4 337s
21778 3601 cutoff 28 0.79500 0.86868 9.27% 20.9 340s
21809 3609 0.86868 32 223 0.79500 0.86868 9.27% 21.4 345s
21918 3608 0.86868 30 233 0.79500 0.86868 9.27% 21.8 350s
22074 3617 0.86493 32 215 0.79500 0.86868 9.27% 22.7 355s
22238 3617 0.86868 37 202 0.79500 0.86868 9.27% 23.6 360s
22447 3603 0.86868 38 197 0.79500 0.86868 9.27% 24.8 365s
22836 3593 0.81029 62 134 0.79500 0.86868 9.27% 26.1 370s
22946 3614 0.84688 43 188 0.79500 0.86868 9.27% 26.3 375s
23382 3634 0.86656 50 156 0.79500 0.86868 9.27% 27.0 380s
23827 3667 cutoff 71 0.79500 0.86868 9.27% 27.7 385s
24196 3629 cutoff 41 0.79500 0.86868 9.27% 28.6 390s
24796 3569 infeasible 52 0.79500 0.86461 8.76% 29.7 396s
25157 3496 0.85508 52 138 0.79500 0.86363 8.63% 30.4 400s
25798 3466 cutoff 62 0.79500 0.86027 8.21% 31.3 406s
26307 3374 0.84707 39 164 0.79500 0.85424 7.45% 31.8 410s
26723 3324 0.83556 54 127 0.79500 0.85150 7.11% 32.2 415s
27248 3220 0.81614 58 106 0.79500 0.84750 6.60% 33.0 420s
27935 3144 0.84454 57 106 0.79500 0.84496 6.28% 33.7 425s
28715 2954 0.81138 60 125 0.79500 0.84174 5.88% 34.3 431s
29539 2718 infeasible 70 0.79500 0.83799 5.41% 34.9 437s
29935 2603 infeasible 55 0.79500 0.83633 5.20% 35.2 440s
30642 2358 0.80914 60 87 0.79500 0.83304 4.79% 35.7 446s
31528 2046 infeasible 53 0.79500 0.83043 4.46% 36.0 451s
32065 1774 0.82649 57 95 0.79500 0.82739 4.07% 36.3 457s
32476 1600 cutoff 67 0.79500 0.82609 3.91% 36.6 461s
33187 1502 0.82016 61 77 0.79500 0.82277 3.49% 37.1 467s
33763 1404 cutoff 52 0.79500 0.82000 3.15% 37.4 470s
34227 1297 0.81699 59 89 0.79500 0.81703 2.77% 37.6 475s
H34500 1287 0.7949987 0.81602 2.64% 37.6 479s
34593 1199 0.80522 69 97 0.79500 0.81537 2.56% 37.7 483s
35074 1069 infeasible 43 0.79500 0.81235 2.18% 37.7 486s
35689 881 infeasible 75 0.79500 0.80806 1.64% 37.8 490s
Cutting planes:
Learned: 5
Gomory: 200
Cover: 12
Implied bound: 40
Projected implied bound: 60
Clique: 12
MIR: 245
StrongCG: 1
Flow cover: 680
Flow path: 1
GUB cover: 1
Inf proof: 130
Zero half: 1
Explored 36701 nodes (1378460 simplex iterations) in 493.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.794999 0.794999 0.794999
Optimal solution found (tolerance 1.00e-02)
Best objective 7.949987063044e-01, best bound 8.029299410895e-01, gap 0.9976%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7bkb6w2z.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6o72qt3v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.787233
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.364393e+00, 1263 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36439 0 138 0.78723 1.36439 73.3% - 0s
0 0 1.32985 0 164 0.78723 1.32985 68.9% - 0s
0 0 1.32782 0 163 0.78723 1.32782 68.7% - 0s
0 0 1.28481 0 183 0.78723 1.28481 63.2% - 0s
0 0 1.28327 0 182 0.78723 1.28327 63.0% - 0s
0 0 1.27085 0 195 0.78723 1.27085 61.4% - 0s
0 0 1.26547 0 184 0.78723 1.26547 60.7% - 0s
0 0 1.26081 0 195 0.78723 1.26081 60.2% - 0s
0 0 1.25977 0 192 0.78723 1.25977 60.0% - 0s
0 0 1.25848 0 204 0.78723 1.25848 59.9% - 0s
0 0 1.25801 0 204 0.78723 1.25801 59.8% - 0s
0 0 1.25800 0 205 0.78723 1.25800 59.8% - 0s
0 0 1.25800 0 205 0.78723 1.25800 59.8% - 0s
0 0 1.25662 0 205 0.78723 1.25662 59.6% - 0s
0 0 1.25662 0 205 0.78723 1.25662 59.6% - 0s
0 0 1.25629 0 204 0.78723 1.25629 59.6% - 0s
0 0 1.25626 0 205 0.78723 1.25626 59.6% - 0s
0 0 1.25590 0 209 0.78723 1.25590 59.5% - 0s
0 0 1.25590 0 189 0.78723 1.25590 59.5% - 0s
0 2 1.25590 0 189 0.78723 1.25590 59.5% - 0s
777 573 0.99983 54 131 0.78723 1.11695 41.9% 15.8 5s
955 592 0.98727 29 142 0.78723 1.10081 39.8% 25.1 10s
2178 870 0.91903 52 113 0.78723 1.06982 35.9% 22.5 15s
3533 1327 infeasible 54 0.78723 1.03248 31.2% 19.7 20s
6042 2091 0.85365 77 87 0.78723 0.99458 26.3% 17.0 25s
9062 2705 0.90209 48 128 0.78723 0.95268 21.0% 15.5 30s
11655 3261 0.93485 67 111 0.78723 0.93956 19.3% 15.4 35s
13110 3466 0.90816 74 112 0.78723 0.93196 18.4% 15.5 40s
15286 3700 cutoff 69 0.78723 0.91454 16.2% 15.7 45s
17581 3980 0.88634 65 101 0.78723 0.90426 14.9% 15.9 50s
20087 4387 cutoff 56 0.78723 0.89204 13.3% 15.8 55s
20818 4567 0.82047 73 189 0.78723 0.88862 12.9% 15.8 74s
20821 4569 0.87647 63 160 0.78723 0.88862 12.9% 15.8 75s
20829 4574 0.81351 92 240 0.78723 0.88862 12.9% 15.8 80s
20833 4577 0.83216 69 269 0.78723 0.88862 12.9% 15.8 85s
20837 4580 0.80712 102 275 0.78723 0.88862 12.9% 15.8 90s
20841 4582 0.84583 67 272 0.78723 0.88862 12.9% 15.8 95s
20847 4586 0.81639 86 277 0.78723 0.88862 12.9% 15.8 100s
20853 4590 0.86948 71 260 0.78723 0.88862 12.9% 15.8 106s
20857 4593 0.84843 64 263 0.78723 0.88862 12.9% 15.8 110s
20860 4595 0.85448 78 258 0.78723 0.88862 12.9% 15.8 116s
20863 4597 0.80982 88 267 0.78723 0.88862 12.9% 15.8 120s
20867 4600 0.81682 67 262 0.78723 0.88862 12.9% 15.8 125s
20872 4603 0.83002 68 273 0.78723 0.88862 12.9% 15.8 131s
20874 4604 0.82139 65 263 0.78723 0.88862 12.9% 15.8 135s
20880 4608 0.84035 73 276 0.78723 0.88862 12.9% 15.8 141s
20882 4610 0.86552 75 276 0.78723 0.88862 12.9% 15.8 145s
20886 4612 0.82167 83 274 0.78723 0.88862 12.9% 15.8 151s
20888 4614 0.85007 66 287 0.78723 0.88862 12.9% 15.8 155s
20892 4616 0.86579 71 264 0.78723 0.88862 12.9% 15.8 161s
20895 4618 0.87840 41 275 0.78723 0.88862 12.9% 15.8 165s
20898 4620 0.88683 55 279 0.78723 0.88862 12.9% 15.8 170s
20902 4623 0.84088 52 279 0.78723 0.88862 12.9% 15.8 175s
20906 4626 0.87359 62 290 0.78723 0.88862 12.9% 15.8 181s
20908 4627 0.80106 102 284 0.78723 0.88862 12.9% 15.7 185s
20912 4630 0.85056 74 277 0.78723 0.88862 12.9% 15.7 190s
20916 4632 0.83648 83 282 0.78723 0.88862 12.9% 15.7 195s
20920 4635 0.80269 65 280 0.78723 0.88862 12.9% 15.7 200s
20924 4638 0.79841 81 278 0.78723 0.88862 12.9% 15.7 205s
20929 4641 0.81351 92 275 0.78723 0.88862 12.9% 15.7 210s
20933 4644 0.83216 69 277 0.78723 0.88862 12.9% 15.7 215s
20936 4646 0.81463 96 263 0.78723 0.88862 12.9% 15.7 220s
20938 4647 0.83114 67 261 0.78723 0.88862 12.9% 15.7 225s
20940 4648 0.80854 69 274 0.78723 0.88862 12.9% 15.7 230s
20944 4651 0.78938 107 256 0.78723 0.88862 12.9% 15.7 235s
20948 4654 0.81964 86 256 0.78723 0.88862 12.9% 15.7 240s
20952 4656 0.87064 70 257 0.78723 0.88862 12.9% 15.7 246s
20955 4658 0.80872 75 260 0.78723 0.88862 12.9% 15.7 250s
20958 4660 0.83373 73 261 0.78723 0.88862 12.9% 15.7 255s
20962 4663 0.84154 71 260 0.78723 0.88862 12.9% 15.7 261s
20966 4666 0.85527 81 253 0.78723 0.88862 12.9% 15.7 266s
20970 4668 0.87351 72 267 0.78723 0.88862 12.9% 15.7 270s
20975 4672 0.80931 86 258 0.78723 0.88862 12.9% 15.7 275s
20979 4674 0.78999 115 258 0.78723 0.88862 12.9% 15.7 280s
20983 4677 0.88096 76 260 0.78723 0.88862 12.9% 15.7 285s
20986 4679 0.82167 83 253 0.78723 0.88862 12.9% 15.7 290s
20991 4682 0.83322 112 253 0.78723 0.88862 12.9% 15.7 295s
20997 4686 0.81299 78 265 0.78723 0.88862 12.9% 15.7 300s
21001 4689 0.87608 71 263 0.78723 0.88862 12.9% 15.7 305s
21006 4692 0.87359 62 259 0.78723 0.88862 12.9% 15.7 311s
H21008 4456 0.7872330 0.88862 12.9% 15.7 316s
21012 4458 0.85056 74 262 0.78723 0.88862 12.9% 15.7 320s
21016 4461 0.83648 83 256 0.78723 0.88862 12.9% 15.7 325s
21019 4463 0.83360 96 253 0.78723 0.88862 12.9% 15.7 330s
21024 4466 0.79841 81 256 0.78723 0.88862 12.9% 15.7 335s
21028 4469 0.84075 71 259 0.78723 0.88862 12.9% 15.7 340s
21029 4471 0.88862 27 248 0.78723 0.88862 12.9% 18.0 347s
21031 4470 0.88862 28 241 0.78723 0.88862 12.9% 18.0 355s
21050 4464 0.88862 37 241 0.78723 0.88862 12.9% 18.1 360s
21058 4466 0.88862 40 207 0.78723 0.88862 12.9% 18.4 365s
21209 4488 0.88862 44 228 0.78723 0.88862 12.9% 19.1 370s
21470 4560 0.88862 45 189 0.78723 0.88862 12.9% 20.0 375s
21733 4592 0.85818 61 183 0.78723 0.88862 12.9% 20.9 380s
22085 4649 0.83102 65 149 0.78723 0.88862 12.9% 21.8 385s
22503 4671 0.88862 56 183 0.78723 0.88862 12.9% 22.6 390s
22679 4674 cutoff 50 0.78723 0.88862 12.9% 23.0 395s
23099 4681 0.81058 68 146 0.78723 0.88862 12.9% 23.9 400s
23472 4644 0.82353 50 191 0.78723 0.88862 12.9% 25.0 406s
23878 4576 0.80957 48 214 0.78723 0.88862 12.9% 26.0 410s
24335 4455 0.86354 69 142 0.78723 0.88862 12.9% 27.0 416s
24701 4365 cutoff 54 0.78723 0.88455 12.4% 27.7 420s
25230 4282 0.84754 58 153 0.78723 0.87892 11.6% 28.3 425s
25975 4112 infeasible 62 0.78723 0.87109 10.7% 29.1 431s
26361 4109 0.82722 59 186 0.78723 0.86702 10.1% 29.4 440s
26864 3945 infeasible 61 0.78723 0.86468 9.84% 29.6 445s
27940 3670 0.79795 59 179 0.78723 0.85373 8.45% 30.1 452s
28431 3540 infeasible 58 0.78723 0.85081 8.08% 30.2 455s
29215 3327 0.79761 59 129 0.78723 0.84623 7.49% 30.8 461s
29607 3220 0.81337 55 145 0.78723 0.84298 7.08% 30.9 465s
30385 2925 0.83090 60 131 0.78723 0.83770 6.41% 31.3 470s
31030 2629 0.80810 55 166 0.78723 0.82971 5.40% 31.6 476s
31610 2342 infeasible 67 0.78723 0.82696 5.05% 31.9 480s
32310 2091 0.81371 64 154 0.78723 0.81830 3.95% 32.2 485s
33479 1847 0.80937 68 100 0.78723 0.81548 3.59% 31.9 490s
34600 1677 0.79642 73 81 0.78723 0.81252 3.21% 31.7 496s
35647 1606 0.79137 57 168 0.78723 0.80768 2.60% 31.7 501s
36498 1488 0.79720 57 179 0.78723 0.80436 2.18% 31.9 505s
37562 1207 0.79782 78 69 0.78723 0.79882 1.47% 31.9 510s
Cutting planes:
Learned: 1
Gomory: 204
Cover: 18
Implied bound: 36
Projected implied bound: 64
Clique: 5
MIR: 313
StrongCG: 5
Flow cover: 783
Flow path: 5
Inf proof: 172
Explored 38852 nodes (1224906 simplex iterations) in 514.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.787233 0.787233
Optimal solution found (tolerance 1.00e-02)
Best objective 7.872329927030e-01, best bound 7.948380294382e-01, gap 0.9660%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1b8klu_d.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpugqobpao.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.780448
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.344189e+00, 1253 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34419 0 144 0.78045 1.34419 72.2% - 0s
0 0 1.31119 0 174 0.78045 1.31119 68.0% - 0s
0 0 1.30919 0 166 0.78045 1.30919 67.7% - 0s
0 0 1.26691 0 204 0.78045 1.26691 62.3% - 0s
0 0 1.26545 0 191 0.78045 1.26545 62.1% - 0s
0 0 1.25619 0 192 0.78045 1.25619 61.0% - 0s
0 0 1.25442 0 192 0.78045 1.25442 60.7% - 0s
0 0 1.24584 0 181 0.78045 1.24584 59.6% - 0s
0 0 1.24543 0 181 0.78045 1.24543 59.6% - 0s
0 0 1.24399 0 188 0.78045 1.24399 59.4% - 0s
0 0 1.24367 0 194 0.78045 1.24367 59.4% - 0s
0 0 1.24232 0 196 0.78045 1.24232 59.2% - 0s
0 0 1.24223 0 198 0.78045 1.24223 59.2% - 0s
0 0 1.24211 0 199 0.78045 1.24211 59.2% - 0s
0 0 1.24205 0 200 0.78045 1.24205 59.1% - 0s
0 0 1.24123 0 188 0.78045 1.24123 59.0% - 0s
0 0 1.24092 0 188 0.78045 1.24092 59.0% - 0s
0 0 1.24092 0 193 0.78045 1.24092 59.0% - 0s
0 0 1.24092 0 194 0.78045 1.24092 59.0% - 0s
0 0 1.24092 0 194 0.78045 1.24092 59.0% - 0s
0 0 1.24092 0 175 0.78045 1.24092 59.0% - 0s
0 2 1.24092 0 168 0.78045 1.24092 59.0% - 1s
739 508 0.98543 11 161 0.78045 1.10588 41.7% 12.9 5s
964 559 1.06786 20 158 0.78045 1.08364 38.8% 22.2 10s
2634 833 0.79629 41 131 0.78045 1.03694 32.9% 21.7 16s
4694 1522 0.91560 73 114 0.78045 0.97808 25.3% 18.7 20s
7810 2368 0.86762 71 90 0.78045 0.92926 19.1% 16.7 25s
H10235 2913 0.7804477 0.91340 17.0% 16.1 30s
11476 2909 infeasible 66 0.78045 0.90547 16.0% 16.3 35s
13982 3028 infeasible 42 0.78045 0.88497 13.4% 16.3 40s
15759 3044 infeasible 69 0.78045 0.87515 12.1% 16.5 45s
18391 3359 infeasible 67 0.78045 0.86152 10.4% 16.4 50s
20597 3334 infeasible 69 0.78045 0.85164 9.12% 16.5 55s
22617 3163 0.80696 76 108 0.78045 0.84171 7.85% 16.8 60s
24285 2919 infeasible 60 0.78045 0.83150 6.54% 17.2 65s
25985 2433 0.81792 78 93 0.78045 0.81928 4.98% 17.5 70s
28042 1807 cutoff 59 0.78045 0.80701 3.40% 17.6 75s
29971 998 cutoff 82 0.78045 0.79395 1.73% 17.7 80s
Cutting planes:
Learned: 3
Gomory: 69
Cover: 4
Implied bound: 47
Projected implied bound: 86
Clique: 1
MIR: 51
StrongCG: 1
Flow cover: 188
Flow path: 3
Inf proof: 313
Explored 31753 nodes (555974 simplex iterations) in 83.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.780448 0.780448
Optimal solution found (tolerance 1.00e-02)
Best objective 7.804476819276e-01, best bound 7.868181484929e-01, gap 0.8163%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy8lt56sp.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7g0u9os3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.770894
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.331929e+00, 1567 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33193 0 143 0.77089 1.33193 72.8% - 0s
0 0 1.29910 0 172 0.77089 1.29910 68.5% - 0s
0 0 1.29717 0 164 0.77089 1.29717 68.3% - 0s
0 0 1.25500 0 205 0.77089 1.25500 62.8% - 0s
0 0 1.25211 0 181 0.77089 1.25211 62.4% - 0s
0 0 1.24400 0 192 0.77089 1.24400 61.4% - 0s
0 0 1.24172 0 182 0.77089 1.24172 61.1% - 0s
0 0 1.23285 0 193 0.77089 1.23285 59.9% - 0s
0 0 1.23210 0 196 0.77089 1.23210 59.8% - 0s
0 0 1.22878 0 196 0.77089 1.22878 59.4% - 0s
0 0 1.22847 0 200 0.77089 1.22847 59.4% - 0s
0 0 1.22792 0 201 0.77089 1.22792 59.3% - 0s
0 0 1.22792 0 203 0.77089 1.22792 59.3% - 0s
0 0 1.22784 0 207 0.77089 1.22784 59.3% - 0s
0 0 1.22783 0 205 0.77089 1.22783 59.3% - 0s
0 0 1.22638 0 204 0.77089 1.22638 59.1% - 0s
0 0 1.22579 0 204 0.77089 1.22579 59.0% - 0s
0 0 1.22579 0 204 0.77089 1.22579 59.0% - 0s
0 0 1.22579 0 172 0.77089 1.22579 59.0% - 0s
0 2 1.22579 0 172 0.77089 1.22579 59.0% - 1s
781 503 0.95101 12 144 0.77089 1.10770 43.7% 16.3 5s
1013 564 0.83686 42 123 0.77089 1.10749 43.7% 26.1 10s
2093 727 0.82990 37 152 0.77089 1.07063 38.9% 27.6 15s
3500 1054 0.95960 25 143 0.77089 1.01599 31.8% 26.9 20s
5604 1385 0.91616 46 112 0.77089 0.94620 22.7% 23.4 25s
8642 2264 0.91535 70 109 0.77089 0.91535 18.7% 19.1 30s
11224 2935 0.87628 66 108 0.77089 0.89839 16.5% 17.4 35s
14321 3707 0.88353 58 107 0.77089 0.88427 14.7% 16.3 40s
17450 4264 0.83713 88 83 0.77089 0.87396 13.4% 15.6 45s
19791 4427 0.80900 73 86 0.77089 0.86512 12.2% 15.6 50s
21624 4274 infeasible 62 0.77089 0.85595 11.0% 15.8 55s
23961 3929 infeasible 63 0.77089 0.84095 9.09% 15.9 60s
26154 3785 infeasible 91 0.77089 0.83110 7.81% 15.9 65s
27844 3261 infeasible 75 0.77089 0.82209 6.64% 16.1 70s
29551 2795 infeasible 86 0.77089 0.81423 5.62% 16.4 75s
30994 2285 cutoff 80 0.77089 0.80563 4.51% 16.5 80s
32890 1473 0.79020 90 60 0.77089 0.79226 2.77% 16.6 85s
Cutting planes:
Learned: 3
Gomory: 50
Cover: 7
Implied bound: 68
Projected implied bound: 73
MIR: 40
Flow cover: 172
Flow path: 2
Inf proof: 348
Explored 34591 nodes (573966 simplex iterations) in 88.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.770894
Optimal solution found (tolerance 1.00e-02)
Best objective 7.708938284837e-01, best bound 7.784378921476e-01, gap 0.9786%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxzucnhea.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbmd_7f7u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.764386
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.319924e+00, 1498 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31992 0 145 0.76439 1.31992 72.7% - 0s
0 0 1.28786 0 174 0.76439 1.28786 68.5% - 0s
0 0 1.28608 0 168 0.76439 1.28608 68.3% - 0s
0 0 1.24767 0 210 0.76439 1.24767 63.2% - 0s
0 0 1.24566 0 197 0.76439 1.24566 63.0% - 0s
0 0 1.23591 0 192 0.76439 1.23591 61.7% - 0s
0 0 1.22942 0 184 0.76439 1.22942 60.8% - 0s
0 0 1.22533 0 191 0.76439 1.22533 60.3% - 0s
0 0 1.22438 0 197 0.76439 1.22438 60.2% - 0s
0 0 1.22345 0 212 0.76439 1.22345 60.1% - 0s
0 0 1.22314 0 211 0.76439 1.22314 60.0% - 0s
0 0 1.22182 0 215 0.76439 1.22182 59.8% - 0s
0 0 1.22182 0 215 0.76439 1.22182 59.8% - 0s
0 0 1.21994 0 201 0.76439 1.21994 59.6% - 0s
0 0 1.21933 0 197 0.76439 1.21933 59.5% - 0s
0 0 1.21895 0 203 0.76439 1.21895 59.5% - 0s
0 0 1.21895 0 207 0.76439 1.21895 59.5% - 0s
0 0 1.21825 0 214 0.76439 1.21825 59.4% - 0s
0 0 1.21819 0 211 0.76439 1.21819 59.4% - 0s
0 0 1.21797 0 210 0.76439 1.21797 59.3% - 0s
0 0 1.21797 0 210 0.76439 1.21797 59.3% - 0s
0 0 1.21797 0 180 0.76439 1.21797 59.3% - 0s
0 2 1.21797 0 180 0.76439 1.21797 59.3% - 1s
753 507 0.98799 14 163 0.76439 1.10187 44.2% 16.9 5s
1032 616 0.83457 62 104 0.76439 1.09528 43.3% 23.7 10s
2421 845 0.93848 32 142 0.76439 1.03560 35.5% 21.9 15s
3746 1381 infeasible 43 0.76439 1.00847 31.9% 21.7 20s
5809 2032 0.93110 48 128 0.76439 0.96977 26.9% 20.7 25s
H 6909 2339 0.7643878 0.95167 24.5% 19.8 29s
7045 2267 0.93108 39 150 0.76439 0.94590 23.7% 19.8 30s
8831 2371 0.80253 80 94 0.76439 0.91434 19.6% 18.4 35s
11595 2584 0.78077 58 107 0.76439 0.88134 15.3% 16.7 40s
14492 3141 0.84306 72 101 0.76439 0.86677 13.4% 15.7 45s
17314 3396 cutoff 86 0.76439 0.85446 11.8% 15.3 50s
19221 3323 0.77460 70 84 0.76439 0.84127 10.1% 15.3 55s
H19779 3404 0.7643878 0.83884 9.74% 15.4 57s
20449 3228 0.80333 90 111 0.76439 0.83318 9.00% 15.5 60s
22424 3130 infeasible 40 0.76439 0.82496 7.92% 15.5 65s
22718 3216 0.82282 46 180 0.76439 0.82369 7.76% 15.4 85s
22729 3223 0.78790 68 223 0.76439 0.82369 7.76% 15.4 91s
22736 3228 0.81954 75 231 0.76439 0.82369 7.76% 15.4 96s
22738 3229 0.81321 111 258 0.76439 0.82369 7.76% 15.4 100s
22742 3232 0.76964 111 255 0.76439 0.82369 7.76% 15.4 105s
22746 3235 0.78838 68 270 0.76439 0.82369 7.76% 15.4 110s
22750 3237 0.78724 61 270 0.76439 0.82369 7.76% 15.4 115s
22755 3241 0.79543 72 272 0.76439 0.82369 7.76% 15.4 122s
22757 3242 0.81630 81 268 0.76439 0.82369 7.76% 15.4 125s
22762 3245 0.76985 121 271 0.76439 0.82369 7.76% 15.4 131s
22765 3247 0.80358 62 275 0.76439 0.82369 7.76% 15.4 135s
22769 3250 0.79825 95 275 0.76439 0.82369 7.76% 15.4 140s
22773 3253 0.81251 75 298 0.76439 0.82369 7.76% 15.4 145s
22777 3255 0.82068 76 296 0.76439 0.82369 7.76% 15.4 150s
22780 3257 0.81376 78 284 0.76439 0.82369 7.76% 15.4 155s
22783 3259 0.81318 73 286 0.76439 0.82369 7.76% 15.4 160s
22787 3262 0.80762 49 292 0.76439 0.82369 7.76% 15.4 165s
22790 3264 0.79050 80 281 0.76439 0.82369 7.76% 15.4 170s
22794 3267 0.79995 48 282 0.76439 0.82369 7.76% 15.4 176s
22797 3269 0.80980 56 289 0.76439 0.82369 7.76% 15.4 180s
22799 3270 0.81359 84 300 0.76439 0.82369 7.76% 15.4 185s
22802 3272 0.80764 59 286 0.76439 0.82369 7.76% 15.4 191s
22805 3274 0.78913 59 279 0.76439 0.82369 7.76% 15.4 195s
22808 3276 0.80742 72 263 0.76439 0.82369 7.76% 15.4 201s
22810 3277 0.77576 125 269 0.76439 0.82369 7.76% 15.4 205s
22814 3280 0.78435 51 278 0.76439 0.82369 7.76% 15.4 210s
22817 3282 0.77934 95 271 0.76439 0.82369 7.76% 15.4 215s
22820 3284 0.81216 82 269 0.76439 0.82369 7.76% 15.3 220s
22823 3286 0.79297 70 291 0.76439 0.82369 7.76% 15.3 225s
22826 3288 0.76637 134 265 0.76439 0.82369 7.76% 15.3 230s
22829 3290 0.78790 68 276 0.76439 0.82369 7.76% 15.3 235s
22832 3292 0.80589 76 280 0.76439 0.82369 7.76% 15.3 240s
22836 3295 0.81954 75 269 0.76439 0.82369 7.76% 15.3 246s
22838 3296 0.81321 111 268 0.76439 0.82369 7.76% 15.3 250s
22843 3299 0.78691 33 283 0.76439 0.82369 7.76% 15.3 255s
22846 3301 0.78838 68 271 0.76439 0.82369 7.76% 15.3 260s
22849 3303 0.77126 109 274 0.76439 0.82369 7.76% 15.3 265s
22851 3305 0.78901 56 282 0.76439 0.82369 7.76% 15.3 270s
22853 3306 0.79969 63 275 0.76439 0.82369 7.76% 15.3 275s
22856 3308 0.81828 71 279 0.76439 0.82369 7.76% 15.3 280s
22859 3310 0.81082 60 276 0.76439 0.82369 7.76% 15.3 285s
22862 3312 0.76985 121 281 0.76439 0.82369 7.76% 15.3 291s
22864 3313 0.81770 85 286 0.76439 0.82369 7.76% 15.3 295s
22868 3316 0.79455 69 288 0.76439 0.82369 7.76% 15.3 301s
H22869 3148 0.7643878 0.82369 7.76% 15.3 306s
22873 3150 0.81251 75 296 0.76439 0.82369 7.76% 15.3 310s
22876 3152 0.78103 71 293 0.76439 0.82369 7.76% 15.3 315s
22880 3155 0.81376 78 288 0.76439 0.82369 7.76% 15.3 321s
22883 3157 0.81318 73 284 0.76439 0.82369 7.76% 15.3 325s
22886 3159 0.78406 64 292 0.76439 0.82369 7.76% 15.3 333s
22888 3160 0.79461 79 295 0.76439 0.82369 7.76% 15.3 336s
22890 3162 0.79050 80 290 0.76439 0.82369 7.76% 15.3 340s
22894 3164 0.79995 48 292 0.76439 0.82369 7.76% 15.3 346s
22896 3166 0.81339 53 289 0.76439 0.82369 7.76% 15.3 350s
22899 3168 0.81359 84 296 0.76439 0.82369 7.76% 15.3 355s
22902 3170 0.80764 59 289 0.76439 0.82369 7.76% 15.3 361s
22904 3171 0.79670 74 289 0.76439 0.82369 7.76% 15.3 365s
22908 3174 0.80742 72 284 0.76439 0.82369 7.76% 15.3 371s
22910 3175 0.77576 125 291 0.76439 0.82369 7.76% 15.3 375s
22913 3177 0.81890 62 293 0.76439 0.82369 7.76% 15.3 380s
22914 3178 0.78435 51 291 0.76439 0.82369 7.76% 15.3 385s
22917 3180 0.77934 95 298 0.76439 0.82369 7.76% 15.3 390s
22922 3183 0.80643 68 289 0.76439 0.82369 7.76% 15.3 395s
22926 3186 0.76637 134 297 0.76439 0.82369 7.76% 15.3 400s
22931 3189 0.81232 77 295 0.76439 0.82369 7.76% 15.3 405s
22934 3191 0.79160 83 304 0.76439 0.82369 7.76% 15.3 411s
22936 3194 0.82369 24 286 0.76439 0.82369 7.76% 18.4 422s
22938 3195 infeasible 25 0.76439 0.82369 7.76% 18.4 431s
22963 3202 0.78338 32 241 0.76439 0.82369 7.76% 18.7 436s
23013 3207 0.78388 40 220 0.76439 0.82369 7.76% 19.0 440s
23094 3201 infeasible 34 0.76439 0.82369 7.76% 19.6 445s
23222 3180 cutoff 49 0.76439 0.82369 7.76% 20.4 450s
23369 3170 0.82369 36 241 0.76439 0.82369 7.76% 21.3 455s
23494 3201 0.81689 35 240 0.76439 0.82369 7.76% 22.0 461s
23630 3242 cutoff 49 0.76439 0.82369 7.76% 22.3 465s
23775 3268 0.82369 39 237 0.76439 0.82369 7.76% 22.9 470s
23915 3281 0.76796 72 136 0.76439 0.82369 7.76% 23.4 476s
24065 3287 0.78092 50 198 0.76439 0.82369 7.76% 24.2 480s
24283 3297 0.82369 39 224 0.76439 0.82369 7.76% 24.7 485s
24554 3305 cutoff 51 0.76439 0.82369 7.76% 25.7 491s
24659 3275 0.78282 43 193 0.76439 0.82369 7.76% 26.2 495s
24873 3272 infeasible 62 0.76439 0.82369 7.76% 26.8 501s
25129 3263 0.78752 46 188 0.76439 0.82369 7.76% 27.5 506s
25326 3247 0.80516 47 179 0.76439 0.82369 7.76% 28.2 511s
25614 3242 0.82352 49 174 0.76439 0.82369 7.76% 28.9 515s
25873 3301 0.79795 56 169 0.76439 0.82369 7.76% 29.1 521s
26101 3313 0.81612 55 174 0.76439 0.82369 7.76% 29.4 526s
26312 3331 0.80548 49 177 0.76439 0.82369 7.76% 29.6 531s
26500 3347 infeasible 42 0.76439 0.82369 7.76% 30.0 535s
26803 3348 0.80516 49 185 0.76439 0.82369 7.76% 30.9 541s
27055 3328 0.78922 60 124 0.76439 0.82369 7.76% 31.2 545s
27507 3341 0.81378 56 152 0.76439 0.82369 7.76% 32.2 552s
27777 3360 0.77589 56 174 0.76439 0.82369 7.76% 32.6 557s
27994 3336 0.76659 30 224 0.76439 0.82369 7.76% 33.0 561s
28181 3298 0.82336 47 176 0.76439 0.82369 7.76% 33.6 565s
28409 3277 0.81932 46 180 0.76439 0.82369 7.76% 34.0 571s
28513 3247 0.81788 47 175 0.76439 0.82369 7.76% 34.2 575s
28734 3217 0.78459 56 129 0.76439 0.82279 7.64% 34.7 580s
28998 3166 cutoff 60 0.76439 0.82261 7.62% 35.3 587s
29090 3117 cutoff 58 0.76439 0.82218 7.56% 35.4 592s
29316 3043 cutoff 55 0.76439 0.82024 7.31% 36.0 599s
29535 3019 0.79687 46 181 0.76439 0.81895 7.14% 36.7 600s
Cutting planes:
Learned: 3
Gomory: 224
Cover: 15
Implied bound: 37
Projected implied bound: 64
Clique: 14
MIR: 290
StrongCG: 4
Flow cover: 757
Flow path: 3
Inf proof: 70
Zero half: 3
Explored 29592 nodes (1090419 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.764388 0.764388 0.764388 0.764386
Time limit reached
Best objective 7.643878461400e-01, best bound 8.188741123852e-01, gap 7.1281%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf37dzgjh.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4t1j8dkr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.753162
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.295204e+00, 1639 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29520 0 146 0.75316 1.29520 72.0% - 0s
0 0 1.26351 0 166 0.75316 1.26351 67.8% - 0s
0 0 1.26177 0 176 0.75316 1.26177 67.5% - 0s
0 0 1.21883 0 186 0.75316 1.21883 61.8% - 0s
0 0 1.21842 0 193 0.75316 1.21842 61.8% - 0s
0 0 1.21126 0 203 0.75316 1.21126 60.8% - 0s
0 0 1.20811 0 198 0.75316 1.20811 60.4% - 0s
0 0 1.20261 0 193 0.75316 1.20261 59.7% - 0s
0 0 1.20253 0 192 0.75316 1.20253 59.7% - 0s
0 0 1.20029 0 196 0.75316 1.20029 59.4% - 0s
0 0 1.19967 0 198 0.75316 1.19967 59.3% - 0s
0 0 1.19898 0 201 0.75316 1.19898 59.2% - 0s
0 0 1.19851 0 201 0.75316 1.19851 59.1% - 0s
0 0 1.19672 0 202 0.75316 1.19672 58.9% - 0s
0 0 1.19631 0 202 0.75316 1.19631 58.8% - 0s
0 0 1.19629 0 203 0.75316 1.19629 58.8% - 0s
0 0 1.19629 0 203 0.75316 1.19629 58.8% - 0s
0 0 1.19629 0 179 0.75316 1.19629 58.8% - 0s
0 2 1.19629 0 177 0.75316 1.19629 58.8% - 1s
734 571 0.93690 96 161 0.75316 1.08248 43.7% 13.9 5s
1347 689 0.86147 51 150 0.75316 1.06236 41.1% 20.6 10s
2799 1065 0.96000 23 166 0.75316 1.00359 33.2% 20.1 15s
4570 1853 0.84886 40 144 0.75316 0.98532 30.8% 19.2 20s
6190 2419 0.79906 41 119 0.75316 0.96365 27.9% 19.8 25s
7396 2417 cutoff 48 0.75316 0.93515 24.2% 21.2 30s
8800 2262 infeasible 51 0.75316 0.90147 19.7% 20.8 35s
10389 1743 infeasible 34 0.75316 0.86049 14.2% 20.2 40s
13038 2123 0.77691 61 100 0.75316 0.84031 11.6% 18.7 46s
14337 2293 0.82724 58 104 0.75316 0.83256 10.5% 18.4 50s
16837 2727 0.79347 59 104 0.75316 0.82216 9.16% 17.8 55s
19731 3217 cutoff 73 0.75316 0.81198 7.81% 17.3 60s
21641 3415 infeasible 60 0.75316 0.80596 7.01% 17.2 79s
22072 3446 0.77812 59 97 0.75316 0.80450 6.82% 17.2 80s
23486 3322 cutoff 58 0.75316 0.79722 5.85% 17.9 85s
24687 3403 0.78843 51 127 0.75316 0.79339 5.34% 18.2 90s
26322 3433 0.78706 63 115 0.75316 0.78848 4.69% 18.4 95s
28179 3421 0.76910 60 105 0.75316 0.78461 4.18% 18.6 100s
29680 3097 0.77031 74 87 0.75316 0.78039 3.62% 18.9 105s
31172 2518 infeasible 71 0.75316 0.77429 2.81% 19.3 110s
32982 2008 infeasible 75 0.75316 0.76738 1.89% 19.5 115s
35004 1486 infeasible 84 0.75316 0.76085 1.02% 19.2 120s
Cutting planes:
Learned: 2
Gomory: 62
Cover: 3
Implied bound: 59
Projected implied bound: 68
Clique: 1
MIR: 52
StrongCG: 2
Flow cover: 175
Flow path: 8
Inf proof: 419
Explored 35209 nodes (679227 simplex iterations) in 120.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.753162
Optimal solution found (tolerance 1.00e-02)
Best objective 7.531620014565e-01, best bound 7.602394095544e-01, gap 0.9397%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu0u3_fw6.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoksuvo6w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.74794
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.285689e+00, 1572 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28569 0 151 0.74794 1.28569 71.9% - 0s
0 0 1.25529 0 191 0.74794 1.25529 67.8% - 0s
0 0 1.25337 0 187 0.74794 1.25337 67.6% - 0s
0 0 1.21323 0 191 0.74794 1.21323 62.2% - 0s
0 0 1.21287 0 194 0.74794 1.21287 62.2% - 0s
0 0 1.20645 0 209 0.74794 1.20645 61.3% - 0s
0 0 1.20548 0 207 0.74794 1.20548 61.2% - 0s
0 0 1.19869 0 219 0.74794 1.19869 60.3% - 0s
0 0 1.19845 0 210 0.74794 1.19845 60.2% - 0s
0 0 1.19611 0 214 0.74794 1.19611 59.9% - 0s
0 0 1.19577 0 218 0.74794 1.19577 59.9% - 0s
0 0 1.19545 0 220 0.74794 1.19545 59.8% - 0s
0 0 1.19542 0 220 0.74794 1.19542 59.8% - 0s
0 0 1.19407 0 221 0.74794 1.19407 59.6% - 0s
0 0 1.19407 0 221 0.74794 1.19407 59.6% - 0s
0 0 1.19358 0 220 0.74794 1.19358 59.6% - 0s
0 0 1.19358 0 220 0.74794 1.19358 59.6% - 0s
0 0 1.19358 0 198 0.74794 1.19358 59.6% - 0s
0 2 1.19358 0 197 0.74794 1.19358 59.6% - 0s
752 486 0.82372 53 169 0.74794 1.06758 42.7% 16.6 5s
894 528 infeasible 33 0.74794 1.04673 39.9% 24.8 10s
2191 625 infeasible 25 0.74794 0.99479 33.0% 25.2 15s
3882 1368 0.93074 34 161 0.74794 0.97078 29.8% 23.2 20s
5359 1619 0.89529 32 171 0.74794 0.94079 25.8% 22.3 25s
6727 1693 infeasible 47 0.74794 0.91596 22.5% 21.5 30s
8923 1769 0.85248 43 129 0.74794 0.88314 18.1% 20.3 35s
11733 2395 0.78327 80 106 0.74794 0.86461 15.6% 18.7 40s
13862 2735 infeasible 49 0.74794 0.85241 14.0% 17.5 45s
16212 3163 0.81158 66 110 0.74794 0.83651 11.8% 16.8 50s
18974 3973 0.78178 68 109 0.74794 0.82981 10.9% 16.2 55s
20587 4162 0.76765 80 198 0.74794 0.82433 10.2% 16.3 81s
20596 4168 0.77966 85 252 0.74794 0.82433 10.2% 16.3 86s
20601 4171 0.79044 69 269 0.74794 0.82433 10.2% 16.3 90s
20604 4173 0.75845 121 258 0.74794 0.82433 10.2% 16.3 96s
20607 4175 0.80289 37 259 0.74794 0.82433 10.2% 16.3 100s
20610 4177 0.76036 71 274 0.74794 0.82433 10.2% 16.3 105s
20613 4179 0.76195 76 280 0.74794 0.82433 10.2% 16.3 110s
20618 4183 0.76023 100 280 0.74794 0.82433 10.2% 16.3 115s
20621 4185 0.77710 88 292 0.74794 0.82433 10.2% 16.3 120s
20623 4186 0.79058 58 278 0.74794 0.82433 10.2% 16.3 125s
20626 4188 0.76313 85 278 0.74794 0.82433 10.2% 16.3 131s
20628 4189 0.81729 67 288 0.74794 0.82433 10.2% 16.3 135s
20631 4191 0.76848 84 243 0.74794 0.82433 10.2% 16.3 140s
20634 4193 0.79256 30 299 0.74794 0.82433 10.2% 16.3 145s
20637 4195 0.76556 102 288 0.74794 0.82433 10.2% 16.3 150s
20640 4197 0.77724 64 278 0.74794 0.82433 10.2% 16.3 155s
20644 4200 0.76145 105 310 0.74794 0.82433 10.2% 16.3 160s
20646 4201 0.81831 75 321 0.74794 0.82433 10.2% 16.3 165s
20648 4203 0.77194 65 309 0.74794 0.82433 10.2% 16.3 170s
20651 4205 0.80885 83 318 0.74794 0.82433 10.2% 16.3 175s
20653 4206 0.76912 81 323 0.74794 0.82433 10.2% 16.3 180s
20657 4209 0.75038 110 262 0.74794 0.82433 10.2% 16.3 185s
20661 4211 0.76489 79 290 0.74794 0.82433 10.2% 16.3 190s
20664 4213 0.79102 37 260 0.74794 0.82433 10.2% 16.3 196s
20666 4215 0.76303 89 260 0.74794 0.82433 10.2% 16.3 200s
20669 4217 0.80731 82 255 0.74794 0.82433 10.2% 16.3 205s
20671 4218 0.76179 81 249 0.74794 0.82433 10.2% 16.3 210s
20674 4220 0.81433 63 252 0.74794 0.82433 10.2% 16.3 215s
20677 4222 0.76663 109 254 0.74794 0.82433 10.2% 16.3 220s
20680 4224 0.76659 79 254 0.74794 0.82433 10.2% 16.3 226s
20682 4225 0.76318 110 260 0.74794 0.82433 10.2% 16.3 230s
20686 4228 0.76920 66 261 0.74794 0.82433 10.2% 16.2 236s
20688 4229 0.76597 100 249 0.74794 0.82433 10.2% 16.2 240s
20692 4232 0.80306 74 258 0.74794 0.82433 10.2% 16.2 245s
20695 4234 0.78058 78 270 0.74794 0.82433 10.2% 16.2 250s
20698 4236 0.75946 80 258 0.74794 0.82433 10.2% 16.2 256s
20701 4238 0.79044 69 275 0.74794 0.82433 10.2% 16.2 260s
20704 4240 0.75845 121 256 0.74794 0.82433 10.2% 16.2 267s
20706 4241 0.75774 80 248 0.74794 0.82433 10.2% 16.2 272s
20708 4243 0.75102 84 249 0.74794 0.82433 10.2% 16.2 277s
20710 4244 0.76036 71 254 0.74794 0.82433 10.2% 16.2 282s
20712 4245 0.81882 62 256 0.74794 0.82433 10.2% 16.2 287s
20714 4247 0.80533 34 250 0.74794 0.82433 10.2% 16.2 291s
20717 4249 0.76780 51 268 0.74794 0.82433 10.2% 16.2 295s
20720 4251 0.80105 50 266 0.74794 0.82433 10.2% 16.2 301s
20723 4253 0.79058 58 270 0.74794 0.82433 10.2% 16.2 305s
20728 4256 0.81729 67 266 0.74794 0.82433 10.2% 16.2 311s
20730 4257 0.76163 59 263 0.74794 0.82433 10.2% 16.2 316s
20732 4259 0.80384 63 263 0.74794 0.82433 10.2% 16.2 320s
20735 4261 0.78791 84 262 0.74794 0.82433 10.2% 16.2 325s
20738 4263 0.79872 55 264 0.74794 0.82433 10.2% 16.2 330s
20742 4265 0.75389 81 267 0.74794 0.82433 10.2% 16.2 335s
20746 4268 0.81831 75 266 0.74794 0.82433 10.2% 16.2 341s
20749 4270 0.76593 79 273 0.74794 0.82433 10.2% 16.2 346s
20752 4272 0.77218 62 264 0.74794 0.82433 10.2% 16.2 350s
20755 4274 0.76779 71 272 0.74794 0.82433 10.2% 16.2 355s
20757 4275 0.75038 110 274 0.74794 0.82433 10.2% 16.2 360s
20761 4278 0.76489 79 268 0.74794 0.82433 10.2% 16.2 365s
20764 4280 0.79102 37 274 0.74794 0.82433 10.2% 16.2 371s
20767 4282 0.75815 79 273 0.74794 0.82433 10.2% 16.2 375s
20770 4284 0.75479 62 272 0.74794 0.82433 10.2% 16.2 380s
20774 4287 0.81433 63 269 0.74794 0.82433 10.2% 16.2 386s
20776 4288 0.78042 73 271 0.74794 0.82433 10.2% 16.2 390s
20780 4291 0.76659 79 264 0.74794 0.82433 10.2% 16.2 397s
20782 4292 0.76318 110 270 0.74794 0.82433 10.2% 16.2 402s
20784 4293 0.75956 99 273 0.74794 0.82433 10.2% 16.2 406s
20787 4295 0.76765 80 275 0.74794 0.82433 10.2% 16.2 410s
20789 4297 0.75211 111 274 0.74794 0.82433 10.2% 16.2 415s
20792 4299 0.80306 74 258 0.74794 0.82433 10.2% 16.2 420s
20795 4301 0.78058 78 281 0.74794 0.82433 10.2% 16.2 425s
H20796 4082 0.7479402 0.82433 10.2% 16.2 431s
20798 4086 0.82433 24 248 0.74794 0.82433 10.2% 19.2 438s
20800 4085 0.82433 25 225 0.74794 0.82433 10.2% 19.2 447s
20810 4090 0.75734 28 183 0.74794 0.82433 10.2% 19.3 450s
20845 4091 0.82433 31 233 0.74794 0.82433 10.2% 19.7 455s
20973 4104 infeasible 41 0.74794 0.82433 10.2% 20.4 460s
21113 4094 0.76874 56 178 0.74794 0.82433 10.2% 21.2 465s
21258 4089 0.81944 38 201 0.74794 0.82433 10.2% 22.3 470s
21391 4101 0.82433 33 248 0.74794 0.82433 10.2% 23.1 475s
21525 4115 0.82433 36 196 0.74794 0.82433 10.2% 24.2 480s
21580 4097 0.79552 40 185 0.74794 0.82433 10.2% 24.5 486s
21705 4075 0.75761 40 160 0.74794 0.82433 10.2% 25.5 490s
21936 4061 0.82433 38 177 0.74794 0.82433 10.2% 26.3 495s
22226 4034 0.76614 36 227 0.74794 0.82433 10.2% 26.9 501s
22440 4049 0.82433 40 183 0.74794 0.82433 10.2% 27.6 505s
22736 4102 0.81137 42 177 0.74794 0.82433 10.2% 28.0 510s
23265 4146 cutoff 39 0.74794 0.82433 10.2% 28.6 515s
23601 4104 infeasible 40 0.74794 0.82299 10.0% 29.2 520s
24140 4095 0.75327 50 187 0.74794 0.82079 9.74% 29.8 527s
24474 4043 0.79668 53 154 0.74794 0.81619 9.12% 30.5 532s
25048 4020 0.80586 43 181 0.74794 0.81200 8.56% 30.8 537s
25269 3980 0.75243 53 141 0.74794 0.81186 8.55% 31.2 541s
25532 3966 infeasible 52 0.74794 0.81152 8.50% 31.5 545s
25936 3859 0.77197 44 148 0.74794 0.80661 7.84% 31.9 551s
26508 3743 0.77953 45 155 0.74794 0.80332 7.40% 32.6 557s
26891 3682 0.78027 71 93 0.74794 0.80002 6.96% 32.9 560s
27617 3551 infeasible 34 0.74794 0.79790 6.68% 33.6 567s
27812 3507 infeasible 53 0.74794 0.79695 6.55% 33.7 571s
28233 3441 infeasible 43 0.74794 0.79556 6.37% 34.0 575s
28614 3408 0.77216 45 180 0.74794 0.79393 6.15% 34.3 583s
28756 3326 0.78187 48 154 0.74794 0.79292 6.01% 34.4 589s
29267 3213 0.75521 38 200 0.74794 0.79115 5.78% 34.7 593s
29676 3106 infeasible 62 0.74794 0.78994 5.62% 35.1 598s
30099 3002 infeasible 42 0.74794 0.78878 5.46% 35.5 600s
Cutting planes:
Learned: 2
Gomory: 173
Cover: 16
Implied bound: 45
Projected implied bound: 66
Clique: 8
MIR: 224
StrongCG: 1
Flow cover: 694
Flow path: 3
Inf proof: 113
Zero half: 4
Explored 30339 nodes (1081765 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.74794 0.74794
Time limit reached
Best objective 7.479401540779e-01, best bound 7.880924011359e-01, gap 5.3684%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9__37289.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprz8k4bor.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.737669
Presolve removed 793 rows and 493 columns
Presolve time: 0.05s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.266521e+00, 1420 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26652 0 149 0.73767 1.26652 71.7% - 0s
0 0 1.23351 0 187 0.73767 1.23351 67.2% - 0s
0 0 1.23184 0 179 0.73767 1.23184 67.0% - 0s
0 0 1.19286 0 194 0.73767 1.19286 61.7% - 0s
0 0 1.19248 0 201 0.73767 1.19248 61.7% - 0s
0 0 1.18697 0 211 0.73767 1.18697 60.9% - 0s
0 0 1.18672 0 211 0.73767 1.18672 60.9% - 0s
0 0 1.17760 0 213 0.73767 1.17760 59.6% - 0s
0 0 1.17739 0 220 0.73767 1.17739 59.6% - 0s
0 0 1.17677 0 227 0.73767 1.17677 59.5% - 0s
0 0 1.17672 0 230 0.73767 1.17672 59.5% - 0s
0 0 1.17549 0 234 0.73767 1.17549 59.4% - 0s
0 0 1.17533 0 236 0.73767 1.17533 59.3% - 0s
0 0 1.17433 0 228 0.73767 1.17433 59.2% - 0s
0 0 1.17428 0 232 0.73767 1.17428 59.2% - 0s
0 0 1.17423 0 230 0.73767 1.17423 59.2% - 0s
0 0 1.17423 0 231 0.73767 1.17423 59.2% - 0s
0 0 1.17423 0 233 0.73767 1.17423 59.2% - 0s
0 0 1.17423 0 198 0.73767 1.17423 59.2% - 0s
0 2 1.17423 0 196 0.73767 1.17423 59.2% - 1s
783 541 0.95878 38 170 0.73767 1.06480 44.3% 15.8 5s
1090 668 0.92732 65 128 0.73767 1.04935 42.3% 21.9 10s
2492 916 infeasible 48 0.73767 1.02233 38.6% 19.9 15s
4102 1287 0.79721 60 139 0.73767 0.96668 31.0% 19.1 20s
6331 1714 0.88266 51 135 0.73767 0.91414 23.9% 16.3 25s
9212 2387 infeasible 66 0.73767 0.88530 20.0% 15.2 30s
12144 3134 0.81349 54 122 0.73767 0.86427 17.2% 14.8 35s
14621 3697 0.78816 84 95 0.73767 0.85474 15.9% 14.9 40s
17889 4641 0.76151 120 79 0.73767 0.84442 14.5% 14.4 45s
20959 5487 0.75163 127 198 0.73767 0.83803 13.6% 14.2 69s
20962 5489 0.79886 120 192 0.73767 0.83803 13.6% 14.2 70s
20971 5495 0.76245 113 243 0.73767 0.83803 13.6% 14.2 76s
20973 5496 0.78797 102 252 0.73767 0.83803 13.6% 14.2 80s
20978 5500 0.75133 123 272 0.73767 0.83803 13.6% 14.2 85s
20982 5502 0.83107 69 270 0.73767 0.83803 13.6% 14.2 90s
20986 5505 0.80217 104 270 0.73767 0.83803 13.6% 14.2 96s
Cutting planes:
Learned: 2
Gomory: 107
Cover: 9
Implied bound: 29
Projected implied bound: 29
Clique: 4
MIR: 103
StrongCG: 2
Flow cover: 249
Flow path: 2
Inf proof: 16
Zero half: 1
Explored 20987 nodes (342172 simplex iterations) in 115.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.737669
Optimal solution found (tolerance 1.00e-02)
Best objective 7.376692612882e-01, best bound 7.376692612882e-01, gap 0.0000%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbyw4utn1.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzz52hrn6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.728626
Presolve removed 806 rows and 501 columns
Presolve time: 0.05s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.255488e+00, 1716 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25549 0 152 0.72863 1.25549 72.3% - 0s
0 0 1.22644 0 185 0.72863 1.22644 68.3% - 0s
0 0 1.22472 0 183 0.72863 1.22472 68.1% - 0s
0 0 1.18678 0 228 0.72863 1.18678 62.9% - 0s
0 0 1.18500 0 202 0.72863 1.18500 62.6% - 0s
0 0 1.17831 0 213 0.72863 1.17831 61.7% - 0s
0 0 1.17554 0 208 0.72863 1.17554 61.3% - 0s
0 0 1.16884 0 212 0.72863 1.16884 60.4% - 0s
0 0 1.16883 0 212 0.72863 1.16883 60.4% - 0s
0 0 1.16570 0 220 0.72863 1.16570 60.0% - 0s
0 0 1.16547 0 220 0.72863 1.16547 60.0% - 0s
0 0 1.16500 0 219 0.72863 1.16500 59.9% - 0s
0 0 1.16500 0 219 0.72863 1.16500 59.9% - 0s
0 0 1.16482 0 222 0.72863 1.16482 59.9% - 0s
0 0 1.16482 0 222 0.72863 1.16482 59.9% - 0s
0 0 1.16482 0 221 0.72863 1.16482 59.9% - 0s
0 0 1.16482 0 193 0.72863 1.16482 59.9% - 0s
0 2 1.16482 0 193 0.72863 1.16482 59.9% - 1s
737 450 0.86607 53 182 0.72863 1.05956 45.4% 15.3 5s
807 456 infeasible 21 0.72863 1.03955 42.7% 25.3 10s
* 1299 617 225 0.7290565 1.03535 42.0% 24.6 12s
1701 733 infeasible 28 0.72906 1.02442 40.5% 25.7 15s
2617 1097 infeasible 32 0.72906 0.99934 37.1% 26.5 20s
3998 1767 infeasible 53 0.72906 0.97914 34.3% 26.6 25s
5060 1938 0.91539 34 150 0.72906 0.95203 30.6% 25.8 30s
7076 2451 infeasible 40 0.72906 0.91822 25.9% 23.7 35s
9035 2752 infeasible 56 0.72906 0.90111 23.6% 22.1 40s
11291 3023 infeasible 59 0.72906 0.87928 20.6% 20.4 45s
13515 3357 infeasible 33 0.72906 0.85997 18.0% 19.4 50s
H14687 3873 0.7290565 0.85666 17.5% 18.7 52s
15601 4082 0.78896 78 128 0.72906 0.85304 17.0% 18.5 55s
18187 4975 0.76857 111 68 0.72906 0.84639 16.1% 17.6 60s
20921 5986 0.81997 84 193 0.72906 0.84242 15.5% 17.0 85s
20931 5993 0.81715 82 256 0.72906 0.84242 15.5% 17.0 90s
20935 5995 0.76650 84 275 0.72906 0.84242 15.5% 17.0 95s
20938 5997 0.76229 113 267 0.72906 0.84242 15.5% 17.0 100s
20942 6000 0.76481 107 271 0.72906 0.84242 15.5% 17.0 105s
20945 6002 0.78605 52 304 0.72906 0.84242 15.5% 17.0 110s
20947 6003 0.75626 99 292 0.72906 0.84242 15.5% 17.0 115s
20950 6005 0.77534 101 290 0.72906 0.84242 15.5% 17.0 120s
20953 6007 0.75631 91 295 0.72906 0.84242 15.5% 17.0 125s
20957 6010 0.76573 95 306 0.72906 0.84242 15.5% 17.0 130s
20960 6012 0.74921 127 297 0.72906 0.84242 15.5% 17.0 135s
20964 6015 0.75464 116 295 0.72906 0.84242 15.5% 17.0 140s
20968 6017 0.77436 81 317 0.72906 0.84242 15.5% 17.0 146s
20970 6019 0.75713 135 311 0.72906 0.84242 15.5% 17.0 150s
20973 6021 0.77882 97 313 0.72906 0.84242 15.5% 17.0 155s
20976 6023 0.78983 43 321 0.72906 0.84242 15.5% 17.0 161s
20978 6024 0.75446 133 324 0.72906 0.84242 15.5% 17.0 165s
20982 6027 0.83634 95 329 0.72906 0.84242 15.5% 17.0 171s
20986 6029 0.79628 99 308 0.72906 0.84242 15.5% 17.0 175s
20989 6031 0.82998 57 311 0.72906 0.84242 15.5% 17.0 181s
20994 6035 0.76648 83 321 0.72906 0.84242 15.5% 16.9 185s
20997 6037 0.77135 72 324 0.72906 0.84242 15.5% 16.9 190s
21002 6040 0.79688 88 333 0.72906 0.84242 15.5% 16.9 195s
21008 6044 0.80674 82 317 0.72906 0.84242 15.5% 16.9 200s
21012 6047 0.78792 77 312 0.72906 0.84242 15.5% 16.9 206s
21015 6049 0.76791 55 318 0.72906 0.84242 15.5% 16.9 210s
21019 6051 0.79835 61 318 0.72906 0.84242 15.5% 16.9 215s
21024 6055 0.79981 67 320 0.72906 0.84242 15.5% 16.9 221s
21028 6057 0.78596 109 321 0.72906 0.84242 15.5% 16.9 225s
21032 6060 0.80749 70 316 0.72906 0.84242 15.5% 16.9 231s
21034 6061 0.80024 84 315 0.72906 0.84242 15.5% 16.9 235s
21037 6063 0.78496 94 318 0.72906 0.84242 15.5% 16.9 240s
21041 6066 0.80375 55 315 0.72906 0.84242 15.5% 16.9 245s
21044 6068 0.74062 133 318 0.72906 0.84242 15.5% 16.9 250s
21047 6070 0.75626 99 313 0.72906 0.84242 15.5% 16.9 255s
H21047 5764 0.7294389 0.84242 15.5% 16.9 260s
H21049 5474 0.7294389 0.84242 15.5% 16.9 266s
21053 5477 0.75631 91 313 0.72944 0.84242 15.5% 16.9 270s
21056 5479 0.81889 84 322 0.72944 0.84242 15.5% 16.9 276s
21059 5481 0.81706 58 322 0.72944 0.84242 15.5% 16.9 280s
21061 5482 0.77078 72 298 0.72944 0.84242 15.5% 16.9 285s
21063 5484 0.80907 117 308 0.72944 0.84242 15.5% 16.9 290s
21066 5486 0.82190 48 273 0.72944 0.84242 15.5% 16.9 296s
21069 5488 0.74718 95 286 0.72944 0.84242 15.5% 16.9 300s
21073 5490 0.77882 97 290 0.72944 0.84242 15.5% 16.9 307s
21075 5492 0.73155 163 287 0.72944 0.84242 15.5% 16.9 310s
21078 5494 0.75446 133 285 0.72944 0.84242 15.5% 16.9 315s
21082 5496 0.83634 95 290 0.72944 0.84242 15.5% 16.9 320s
21085 5498 0.81606 85 285 0.72944 0.84242 15.5% 16.9 326s
21088 5500 0.75867 132 295 0.72944 0.84242 15.5% 16.9 330s
21091 5502 0.79361 72 287 0.72944 0.84242 15.5% 16.9 336s
21093 5504 0.78808 92 294 0.72944 0.84242 15.5% 16.9 340s
H21094 5226 0.7294389 0.84242 15.5% 16.9 345s
21098 5229 0.78341 44 287 0.72944 0.84242 15.5% 16.9 350s
21101 5231 0.79172 85 290 0.72944 0.84242 15.5% 16.9 356s
21103 5232 0.79715 53 281 0.72944 0.84242 15.5% 16.9 360s
21105 5234 0.77571 86 298 0.72944 0.84242 15.5% 16.9 365s
21108 5236 0.80674 82 300 0.72944 0.84242 15.5% 16.9 370s
21109 5236 0.75812 143 299 0.72944 0.84242 15.5% 16.9 375s
21112 5238 0.78792 77 298 0.72944 0.84242 15.5% 16.9 380s
21115 5240 0.76791 55 301 0.72944 0.84242 15.5% 16.9 386s
21117 5242 0.83379 67 301 0.72944 0.84242 15.5% 16.8 391s
21119 5243 0.79835 61 306 0.72944 0.84242 15.5% 16.8 395s
21122 5245 0.78801 101 308 0.72944 0.84242 15.5% 16.8 400s
21125 5247 0.74681 108 298 0.72944 0.84242 15.5% 16.8 405s
21128 5249 0.78596 109 299 0.72944 0.84242 15.5% 16.8 410s
21130 5250 0.78308 106 302 0.72944 0.84242 15.5% 16.8 415s
21134 5253 0.80024 84 317 0.72944 0.84242 15.5% 16.8 420s
21136 5254 0.73224 137 305 0.72944 0.84242 15.5% 16.8 426s
21137 5255 infeasible 19 0.72944 0.84242 15.5% 20.6 435s
21139 5255 0.84242 20 306 0.72944 0.84242 15.5% 20.6 445s
21140 5255 0.84242 21 296 0.72944 0.84242 15.5% 20.6 455s
21164 5253 0.84242 26 271 0.72944 0.84242 15.5% 20.8 461s
21268 5277 infeasible 39 0.72944 0.84242 15.5% 21.4 465s
21319 5281 0.73851 53 227 0.72944 0.84242 15.5% 21.8 470s
21472 5298 0.79367 45 214 0.72944 0.84242 15.5% 22.6 475s
21654 5321 0.79316 44 243 0.72944 0.84242 15.5% 23.7 480s
21909 5362 infeasible 77 0.72944 0.84242 15.5% 24.5 485s
22236 5389 0.83129 48 257 0.72944 0.84242 15.5% 25.6 490s
22483 5430 0.82289 40 265 0.72944 0.84144 15.4% 26.5 495s
22695 5460 0.79779 49 235 0.72944 0.84070 15.3% 27.3 500s
22904 5454 0.76244 51 222 0.72944 0.83754 14.8% 28.4 506s
23080 5455 0.81753 49 201 0.72944 0.83381 14.3% 29.2 510s
23249 5454 0.78116 50 204 0.72944 0.83348 14.3% 29.6 515s
23452 5454 0.80100 54 195 0.72944 0.83085 13.9% 30.5 520s
23657 5437 0.80356 50 231 0.72944 0.82884 13.6% 31.3 526s
23871 5402 0.81313 47 228 0.72944 0.82551 13.2% 32.2 531s
23990 5395 cutoff 59 0.72944 0.82494 13.1% 32.8 535s
24319 5416 0.73654 58 186 0.72944 0.82271 12.8% 33.7 541s
24494 5406 0.76311 59 213 0.72944 0.82198 12.7% 34.3 545s
24774 5378 0.73607 47 211 0.72944 0.82023 12.4% 35.5 551s
24906 5341 0.74310 60 170 0.72944 0.81867 12.2% 36.2 556s
24996 5322 0.79369 43 213 0.72944 0.81772 12.1% 36.5 560s
25339 5287 0.79665 57 189 0.72944 0.81606 11.9% 37.9 567s
25591 5267 0.79807 57 193 0.72944 0.81520 11.8% 38.4 571s
25718 5273 0.78780 62 171 0.72944 0.81520 11.8% 38.7 576s
25895 5209 cutoff 58 0.72944 0.81220 11.3% 39.5 581s
26133 5175 cutoff 47 0.72944 0.81081 11.2% 40.2 585s
26432 5135 0.73103 60 180 0.72944 0.80935 11.0% 40.8 590s
26731 5096 0.74651 71 136 0.72944 0.80767 10.7% 41.5 596s
27048 5088 cutoff 54 0.72944 0.80612 10.5% 42.3 600s
Cutting planes:
Learned: 3
Gomory: 214
Cover: 14
Implied bound: 50
Projected implied bound: 56
Clique: 5
MIR: 233
StrongCG: 4
Flow cover: 711
Inf proof: 56
Zero half: 2
Explored 27057 nodes (1148966 simplex iterations) in 600.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.729439 0.729439 0.729439 ... 0.728626
Time limit reached
Best objective 7.294389054662e-01, best bound 8.061166573770e-01, gap 10.5119%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeab1v264.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpykdqdu95.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.719318
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.251362e+00, 1736 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25136 0 157 0.71932 1.25136 74.0% - 0s
0 0 1.22139 0 197 0.71932 1.22139 69.8% - 0s
0 0 1.21809 0 189 0.71932 1.21809 69.3% - 0s
0 0 1.18328 0 231 0.71932 1.18328 64.5% - 0s
0 0 1.18090 0 201 0.71932 1.18090 64.2% - 0s
0 0 1.17401 0 209 0.71932 1.17401 63.2% - 0s
0 0 1.17275 0 210 0.71932 1.17275 63.0% - 0s
0 0 1.16282 0 216 0.71932 1.16282 61.7% - 0s
0 0 1.16282 0 217 0.71932 1.16282 61.7% - 0s
0 0 1.15894 0 225 0.71932 1.15894 61.1% - 0s
0 0 1.15891 0 228 0.71932 1.15891 61.1% - 0s
0 0 1.15852 0 237 0.71932 1.15852 61.1% - 0s
0 0 1.15852 0 239 0.71932 1.15852 61.1% - 0s
0 0 1.15843 0 241 0.71932 1.15843 61.0% - 0s
0 0 1.15843 0 242 0.71932 1.15843 61.0% - 0s
0 0 1.15839 0 241 0.71932 1.15839 61.0% - 0s
0 0 1.15839 0 203 0.71932 1.15839 61.0% - 0s
0 2 1.15839 0 203 0.71932 1.15839 61.0% - 1s
765 567 0.79449 38 169 0.71932 1.06851 48.5% 14.3 5s
778 578 1.03942 10 157 0.71932 1.04603 45.4% 22.5 10s
1449 746 0.96793 23 183 0.71932 1.01206 40.7% 25.6 15s
2964 1044 0.91287 35 154 0.71932 0.98567 37.0% 23.8 20s
* 4280 1634 204 0.7196151 0.96326 33.9% 21.4 22s
4913 1889 0.84485 46 146 0.71962 0.95292 32.4% 21.1 25s
7111 2378 0.90213 36 166 0.71962 0.91109 26.6% 20.0 30s
9495 2941 infeasible 52 0.71962 0.88423 22.9% 18.2 35s
12203 3340 infeasible 57 0.71962 0.86489 20.2% 17.0 40s
14779 3800 0.79912 66 138 0.71962 0.85162 18.3% 16.1 45s
17078 4300 infeasible 67 0.71962 0.84126 16.9% 15.4 50s
H17083 4293 0.7199233 0.84125 16.9% 15.4 50s
H17103 4296 0.7200081 0.84108 16.8% 15.4 53s
H17104 4294 0.7202709 0.84108 16.8% 15.4 53s
17441 4319 0.75818 80 103 0.72027 0.83977 16.6% 15.5 55s
19455 4492 infeasible 76 0.72027 0.83143 15.4% 15.4 60s
21076 4822 0.76530 61 203 0.72027 0.82604 14.7% 15.2 86s
21085 4828 0.75506 68 252 0.72027 0.82604 14.7% 15.2 91s
21089 4831 0.76834 70 273 0.72027 0.82604 14.7% 15.2 95s
21093 4833 0.80255 66 282 0.72027 0.82604 14.7% 15.2 100s
21096 4835 0.77747 97 282 0.72027 0.82604 14.7% 15.2 106s
21100 4838 0.78091 69 296 0.72027 0.82604 14.7% 15.2 110s
21102 4839 0.80864 84 288 0.72027 0.82604 14.7% 15.2 115s
21105 4841 0.80456 65 279 0.72027 0.82604 14.7% 15.2 121s
21109 4844 0.72744 78 299 0.72027 0.82604 14.7% 15.2 125s
21112 4846 0.82160 46 291 0.72027 0.82604 14.7% 15.2 131s
21114 4847 0.80551 65 284 0.72027 0.82604 14.7% 15.2 135s
21118 4850 0.78259 80 297 0.72027 0.82604 14.7% 15.2 140s
21122 4853 0.79389 72 296 0.72027 0.82604 14.7% 15.2 146s
21125 4855 0.78535 50 306 0.72027 0.82604 14.7% 15.2 150s
21127 4856 0.77517 72 308 0.72027 0.82604 14.7% 15.2 155s
21130 4858 0.78258 90 300 0.72027 0.82604 14.7% 15.2 161s
21133 4860 0.76974 66 318 0.72027 0.82604 14.7% 15.2 165s
21135 4861 0.74164 56 316 0.72027 0.82604 14.7% 15.2 170s
21138 4863 0.81779 41 320 0.72027 0.82604 14.7% 15.2 175s
21141 4865 0.73645 72 322 0.72027 0.82604 14.7% 15.2 180s
21144 4867 0.81149 68 307 0.72027 0.82604 14.7% 15.2 186s
21146 4869 0.72207 65 305 0.72027 0.82604 14.7% 15.2 191s
21148 4870 0.75908 45 319 0.72027 0.82604 14.7% 15.2 195s
21151 4872 0.78193 86 303 0.72027 0.82604 14.7% 15.2 200s
21154 4874 0.73739 69 310 0.72027 0.82604 14.7% 15.2 207s
21156 4875 0.78988 84 308 0.72027 0.82604 14.7% 15.2 211s
21158 4877 0.77901 66 376 0.72027 0.82604 14.7% 15.2 219s
21159 4877 0.78600 96 370 0.72027 0.82604 14.7% 15.2 220s
21161 4879 0.75506 68 322 0.72027 0.82604 14.7% 15.2 225s
21163 4880 0.75000 65 316 0.72027 0.82604 14.7% 15.2 230s
21166 4882 0.74031 74 314 0.72027 0.82604 14.7% 15.2 235s
21170 4885 0.77485 101 312 0.72027 0.82604 14.7% 15.2 240s
21174 4887 0.79047 54 307 0.72027 0.82604 14.7% 15.2 245s
21177 4889 0.79987 59 310 0.72027 0.82604 14.7% 15.2 250s
21180 4891 0.79445 57 308 0.72027 0.82604 14.7% 15.2 255s
21183 4893 0.72536 143 319 0.72027 0.82604 14.7% 15.2 260s
21186 4895 0.72571 56 287 0.72027 0.82604 14.7% 15.2 266s
21188 4897 0.77080 71 293 0.72027 0.82604 14.7% 15.2 271s
21190 4898 0.81538 69 296 0.72027 0.82604 14.7% 15.2 276s
21192 4899 0.72256 128 301 0.72027 0.82604 14.7% 15.2 281s
21195 4901 0.76497 67 287 0.72027 0.82604 14.7% 15.2 286s
21197 4903 0.77009 110 289 0.72027 0.82604 14.7% 15.2 290s
21199 4904 0.77419 69 291 0.72027 0.82604 14.7% 15.2 297s
21201 4905 0.82442 69 294 0.72027 0.82604 14.7% 15.2 301s
21203 4907 0.73853 64 289 0.72027 0.82604 14.7% 15.1 307s
21205 4908 0.80456 65 296 0.72027 0.82604 14.7% 15.1 311s
21207 4909 0.76143 94 280 0.72027 0.82604 14.7% 15.1 315s
21211 4912 0.76914 101 286 0.72027 0.82604 14.7% 15.1 321s
21215 4915 0.81809 70 296 0.72027 0.82604 14.7% 15.1 325s
21218 4917 0.78259 80 310 0.72027 0.82604 14.7% 15.1 331s
21220 4918 0.78886 56 297 0.72027 0.82604 14.7% 15.1 336s
21222 4919 0.79389 72 306 0.72027 0.82604 14.7% 15.1 340s
21226 4922 0.79608 68 309 0.72027 0.82604 14.7% 15.1 345s
21229 4924 0.74479 62 316 0.72027 0.82604 14.7% 15.1 350s
21233 4927 0.76974 66 311 0.72027 0.82604 14.7% 15.1 355s
21236 4929 0.72372 81 315 0.72027 0.82604 14.7% 15.1 360s
21240 4931 0.80171 65 320 0.72027 0.82604 14.7% 15.1 366s
21243 4933 0.82384 69 316 0.72027 0.82604 14.7% 15.1 370s
21246 4935 0.72207 65 309 0.72027 0.82604 14.7% 15.1 376s
21248 4937 0.75908 45 315 0.72027 0.82604 14.7% 15.1 381s
21251 4939 0.78193 86 316 0.72027 0.82604 14.7% 15.1 385s
21255 4941 0.77387 70 330 0.72027 0.82604 14.7% 15.1 390s
21260 4945 0.81681 50 315 0.72027 0.82604 14.7% 15.1 396s
21263 4947 0.75000 65 336 0.72027 0.82604 14.7% 15.1 400s
21266 4949 0.74031 74 324 0.72027 0.82604 14.7% 15.1 405s
21269 4951 0.78003 63 329 0.72027 0.82604 14.7% 15.1 410s
21272 4953 0.73834 97 323 0.72027 0.82604 14.7% 15.1 415s
21275 4955 0.77590 74 330 0.72027 0.82604 14.7% 15.1 420s
21277 4956 0.79987 59 323 0.72027 0.82604 14.7% 15.1 425s
21281 4959 0.76048 65 332 0.72027 0.82604 14.7% 15.1 430s
21284 4961 0.81822 85 331 0.72027 0.82604 14.7% 15.1 435s
21288 4963 0.77080 71 326 0.72027 0.82604 14.7% 15.1 444s
21289 4964 0.76834 70 326 0.72027 0.82604 14.7% 15.1 446s
21290 4967 0.82604 21 310 0.72027 0.82604 14.7% 18.8 459s
21292 4965 0.82604 22 319 0.72027 0.82604 14.7% 18.9 471s
21301 4968 0.82604 25 319 0.72027 0.82604 14.7% 18.9 478s
21309 4970 infeasible 27 0.72027 0.82604 14.7% 19.4 484s
21314 4971 0.82604 28 305 0.72027 0.82604 14.7% 19.5 485s
21332 4972 infeasible 32 0.72027 0.82604 14.7% 19.7 491s
21354 4971 0.81215 35 272 0.72027 0.82604 14.7% 20.4 497s
H21357 4718 0.7202709 0.82604 14.7% 20.4 497s
21387 4720 0.77635 45 227 0.72027 0.82604 14.7% 20.6 502s
21445 4719 0.75097 58 223 0.72027 0.82604 14.7% 21.0 506s
21464 4715 infeasible 26 0.72027 0.82604 14.7% 21.5 512s
21471 4715 infeasible 26 0.72027 0.82604 14.7% 21.9 521s
21503 4715 infeasible 28 0.72027 0.82604 14.7% 22.2 527s
21517 4712 0.82604 29 283 0.72027 0.82604 14.7% 22.3 530s
21548 4713 0.74779 34 282 0.72027 0.82604 14.7% 22.9 539s
21570 4707 infeasible 37 0.72027 0.82604 14.7% 23.6 549s
21589 4711 0.82604 28 264 0.72027 0.82604 14.7% 24.1 552s
21608 4707 infeasible 30 0.72027 0.82604 14.7% 24.6 555s
21647 4701 0.77669 30 257 0.72027 0.82604 14.7% 25.3 561s
21675 4694 0.75335 35 259 0.72027 0.82604 14.7% 25.7 566s
21725 4675 0.78594 33 307 0.72027 0.82604 14.7% 26.8 571s
21796 4649 0.75540 35 295 0.72027 0.82604 14.7% 27.6 575s
21931 4620 cutoff 37 0.72027 0.80043 11.1% 29.1 581s
22030 4587 cutoff 40 0.72027 0.79703 10.7% 30.3 587s
22050 4574 0.72657 35 297 0.72027 0.79088 9.80% 30.7 592s
22084 4553 cutoff 37 0.72027 0.78816 9.43% 31.3 596s
22106 4526 cutoff 38 0.72027 0.78270 8.67% 31.5 600s
Cutting planes:
Learned: 3
Gomory: 177
Cover: 9
Implied bound: 25
Projected implied bound: 57
Clique: 3
MIR: 197
StrongCG: 10
Flow cover: 654
Flow path: 6
Inf proof: 27
Zero half: 1
Explored 22168 nodes (715108 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.720271 0.720271 0.720008 ... 0.719318
Time limit reached
Best objective 7.202709111827e-01, best bound 7.639558610412e-01, gap 6.0651%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3jmwdqxd.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgnkj068i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.710717
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.235764e+00, 1758 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23576 0 160 0.71072 1.23576 73.9% - 0s
0 0 1.20576 0 196 0.71072 1.20576 69.7% - 0s
0 0 1.20429 0 191 0.71072 1.20429 69.4% - 0s
0 0 1.17058 0 232 0.71072 1.17058 64.7% - 0s
0 0 1.16757 0 208 0.71072 1.16757 64.3% - 0s
0 0 1.15990 0 210 0.71072 1.15990 63.2% - 0s
0 0 1.15611 0 207 0.71072 1.15611 62.7% - 0s
0 0 1.14991 0 226 0.71072 1.14991 61.8% - 0s
0 0 1.14957 0 225 0.71072 1.14957 61.7% - 0s
0 0 1.14848 0 226 0.71072 1.14848 61.6% - 0s
0 0 1.14846 0 226 0.71072 1.14846 61.6% - 0s
0 0 1.14733 0 227 0.71072 1.14733 61.4% - 0s
0 0 1.14724 0 238 0.71072 1.14724 61.4% - 0s
0 0 1.14702 0 238 0.71072 1.14702 61.4% - 0s
0 0 1.14702 0 240 0.71072 1.14702 61.4% - 0s
0 0 1.14561 0 239 0.71072 1.14561 61.2% - 0s
0 0 1.14515 0 240 0.71072 1.14515 61.1% - 0s
0 0 1.14483 0 242 0.71072 1.14483 61.1% - 0s
0 0 1.14483 0 241 0.71072 1.14483 61.1% - 0s
0 0 1.14483 0 204 0.71072 1.14483 61.1% - 1s
0 0 1.14483 0 205 0.71072 1.14483 61.1% - 1s
0 0 1.14483 0 207 0.71072 1.14483 61.1% - 1s
0 0 1.14483 0 203 0.71072 1.14483 61.1% - 1s
0 2 1.14483 0 202 0.71072 1.14483 61.1% - 1s
733 512 0.90114 10 174 0.71072 1.05022 47.8% 13.5 5s
801 541 0.94341 25 141 0.71072 1.03196 45.2% 22.2 10s
2495 1189 0.95263 34 148 0.71072 0.99559 40.1% 18.2 15s
4294 2046 0.82015 31 177 0.71072 0.96775 36.2% 18.1 20s
6198 2725 infeasible 33 0.71072 0.93740 31.9% 17.8 25s
8324 2847 infeasible 41 0.71072 0.88845 25.0% 17.2 30s
10530 3144 0.85900 51 142 0.71072 0.85960 20.9% 16.6 35s
13253 3998 infeasible 71 0.71072 0.84777 19.3% 15.9 40s
H13255 3998 0.7107171 0.84764 19.3% 15.9 40s
13865 4035 0.81116 77 117 0.71072 0.84363 18.7% 15.9 45s
16651 4717 0.80038 97 113 0.71072 0.83459 17.4% 15.4 50s
19674 5556 0.74015 108 95 0.71072 0.82767 16.5% 15.1 55s
20469 5743 0.76045 103 203 0.71072 0.82573 16.2% 15.1 79s
20471 5744 0.80151 59 154 0.71072 0.82573 16.2% 15.1 80s
20481 5751 0.75051 144 225 0.71072 0.82573 16.2% 15.1 87s
20484 5753 0.74340 65 262 0.71072 0.82573 16.2% 15.0 91s
20488 5756 0.81141 53 269 0.71072 0.82573 16.2% 15.0 95s
20491 5758 0.82164 55 291 0.71072 0.82573 16.2% 15.0 100s
20495 5760 0.81913 65 308 0.71072 0.82573 16.2% 15.0 105s
20498 5762 0.81307 48 300 0.71072 0.82573 16.2% 15.0 110s
20501 5764 0.77271 87 320 0.71072 0.82573 16.2% 15.0 117s
20503 5766 0.78638 80 311 0.71072 0.82573 16.2% 15.0 121s
20505 5767 0.77921 81 318 0.71072 0.82573 16.2% 15.0 125s
20509 5770 0.73588 57 324 0.71072 0.82573 16.2% 15.0 130s
20512 5772 0.73419 63 327 0.71072 0.82573 16.2% 15.0 135s
20515 5774 0.78318 61 325 0.71072 0.82573 16.2% 15.0 140s
20518 5776 0.78650 58 313 0.71072 0.82573 16.2% 15.0 146s
20521 5778 0.76247 66 308 0.71072 0.82573 16.2% 15.0 150s
20525 5780 0.80033 79 318 0.71072 0.82573 16.2% 15.0 155s
20528 5782 0.81051 90 321 0.71072 0.82573 16.2% 15.0 161s
20531 5784 0.80266 94 326 0.71072 0.82573 16.2% 15.0 165s
20534 5786 0.76244 90 335 0.71072 0.82573 16.2% 15.0 171s
20537 5788 0.80232 59 333 0.71072 0.82573 16.2% 15.0 176s
20539 5790 0.79777 77 336 0.71072 0.82573 16.2% 15.0 180s
20542 5792 0.80591 46 310 0.71072 0.82573 16.2% 15.0 185s
20545 5794 0.78846 43 325 0.71072 0.82573 16.2% 15.0 190s
20548 5796 0.79072 98 328 0.71072 0.82573 16.2% 15.0 195s
20550 5797 0.74517 114 320 0.71072 0.82573 16.2% 15.0 200s
20553 5799 0.77957 98 333 0.71072 0.82573 16.2% 15.0 205s
20556 5801 0.82192 48 318 0.71072 0.82573 16.2% 15.0 210s
20560 5804 0.73091 91 329 0.71072 0.82573 16.2% 15.0 215s
20562 5805 0.79554 84 317 0.71072 0.82573 16.2% 15.0 220s
20564 5806 0.76979 71 320 0.71072 0.82573 16.2% 15.0 225s
20568 5809 0.78854 72 344 0.71072 0.82573 16.2% 15.0 232s
20570 5810 0.80932 52 334 0.71072 0.82573 16.2% 15.0 237s
20572 5812 0.75106 69 332 0.71072 0.82573 16.2% 15.0 241s
20574 5813 0.78730 45 344 0.71072 0.82573 16.2% 15.0 245s
20578 5816 0.80545 56 329 0.71072 0.82573 16.2% 15.0 251s
20581 5818 0.75051 144 355 0.71072 0.82573 16.2% 15.0 255s
20585 5820 0.82170 72 358 0.71072 0.82573 16.2% 15.0 260s
20588 5822 0.81141 53 333 0.71072 0.82573 16.2% 15.0 267s
20590 5824 0.82409 85 336 0.71072 0.82573 16.2% 15.0 270s
20593 5826 0.79862 43 347 0.71072 0.82573 16.2% 15.0 275s
20595 5827 0.81913 65 337 0.71072 0.82573 16.2% 15.0 280s
20596 5828 0.77124 59 346 0.71072 0.82573 16.2% 15.0 285s
20600 5830 0.79457 73 341 0.71072 0.82573 16.2% 15.0 292s
20602 5832 0.76929 46 352 0.71072 0.82573 16.2% 15.0 296s
20604 5833 0.75031 143 343 0.71072 0.82573 16.2% 15.0 300s
20606 5834 0.80514 62 353 0.71072 0.82573 16.2% 15.0 305s
20608 5836 0.81661 83 349 0.71072 0.82573 16.2% 15.0 310s
20610 5837 0.77665 67 349 0.71072 0.82573 16.2% 15.0 315s
20614 5840 0.77933 53 342 0.71072 0.82573 16.2% 15.0 322s
20616 5841 0.76128 149 356 0.71072 0.82573 16.2% 15.0 325s
20619 5843 0.82455 103 364 0.71072 0.82573 16.2% 15.0 330s
20622 5845 0.74697 81 354 0.71072 0.82573 16.2% 14.9 335s
20625 5847 0.80033 79 348 0.71072 0.82573 16.2% 14.9 340s
20628 5849 0.81051 90 348 0.71072 0.82573 16.2% 14.9 345s
20631 5851 0.80266 94 355 0.71072 0.82573 16.2% 14.9 350s
20632 5852 0.77288 72 349 0.71072 0.82573 16.2% 14.9 355s
20635 5854 0.78389 80 355 0.71072 0.82573 16.2% 14.9 360s
20638 5856 0.79652 64 348 0.71072 0.82573 16.2% 14.9 365s
20641 5858 0.79055 39 355 0.71072 0.82573 16.2% 14.9 370s
20644 5860 0.79513 43 329 0.71072 0.82573 16.2% 14.9 376s
20647 5862 0.73704 111 331 0.71072 0.82573 16.2% 14.9 380s
20651 5864 0.81401 96 331 0.71072 0.82573 16.2% 14.9 385s
20653 5866 0.77957 98 337 0.71072 0.82573 16.2% 14.9 390s
20656 5868 0.82192 48 337 0.71072 0.82573 16.2% 14.9 395s
20659 5870 0.81723 90 338 0.71072 0.82573 16.2% 14.9 400s
20662 5872 0.79554 84 346 0.71072 0.82573 16.2% 14.9 406s
20664 5873 0.76979 71 342 0.71072 0.82573 16.2% 14.9 410s
20666 5874 0.73648 91 332 0.71072 0.82573 16.2% 14.9 416s
20668 5876 0.78854 72 342 0.71072 0.82573 16.2% 14.9 420s
20672 5878 0.75106 69 336 0.71072 0.82573 16.2% 14.9 427s
20674 5880 0.78730 45 347 0.71072 0.82573 16.2% 14.9 432s
20676 5881 0.77761 72 346 0.71072 0.82573 16.2% 14.9 437s
20678 5882 0.80545 56 344 0.71072 0.82573 16.2% 14.9 442s
20679 5883 0.80380 101 344 0.71072 0.82573 16.2% 14.9 446s
20680 5886 0.82573 30 309 0.71072 0.82573 16.2% 19.6 458s
20682 5887 0.82573 31 299 0.71072 0.82573 16.2% 19.7 469s
20685 5890 0.82573 32 303 0.71072 0.82573 16.2% 19.7 470s
20697 5890 infeasible 34 0.71072 0.82573 16.2% 20.2 475s
20741 5883 infeasible 38 0.71072 0.82573 16.2% 20.7 481s
20777 5887 0.78020 41 298 0.71072 0.82573 16.2% 21.0 486s
20843 5884 0.71371 51 243 0.71072 0.82573 16.2% 21.5 490s
20947 5886 0.80933 58 258 0.71072 0.82573 16.2% 22.5 495s
21077 5862 0.82547 51 258 0.71072 0.82573 16.2% 23.6 501s
21149 5860 infeasible 60 0.71072 0.82573 16.2% 24.4 505s
21226 5861 infeasible 45 0.71072 0.82573 16.2% 25.0 510s
21279 5862 0.77301 46 283 0.71072 0.82573 16.2% 25.5 515s
21391 5873 0.81155 53 248 0.71072 0.82573 16.2% 26.4 520s
21571 5888 0.73889 55 267 0.71072 0.82573 16.2% 27.3 525s
21801 5916 0.81870 49 256 0.71072 0.82573 16.2% 28.3 530s
21988 5940 0.78716 61 256 0.71072 0.82264 15.7% 29.4 535s
22219 5998 0.71605 97 169 0.71072 0.81898 15.2% 30.6 541s
22401 5990 0.76426 57 232 0.71072 0.81684 14.9% 31.4 546s
22601 6010 0.73007 54 275 0.71072 0.81617 14.8% 32.2 551s
22774 6004 0.77618 67 200 0.71072 0.81532 14.7% 33.3 557s
22956 6002 cutoff 61 0.71072 0.81313 14.4% 33.7 561s
23127 6025 infeasible 50 0.71072 0.81152 14.2% 34.4 566s
23307 6045 infeasible 58 0.71072 0.81095 14.1% 34.8 570s
23597 6030 0.80194 63 230 0.71072 0.80975 13.9% 35.9 576s
23856 6038 infeasible 61 0.71072 0.80698 13.5% 37.1 583s
24002 6017 0.75798 62 248 0.71072 0.80624 13.4% 37.8 587s
24157 5996 0.73070 62 247 0.71072 0.80491 13.3% 38.3 591s
24287 5981 0.80151 61 228 0.71072 0.80442 13.2% 39.1 596s
24375 5961 0.73008 66 225 0.71072 0.80412 13.1% 40.1 600s
Cutting planes:
Learned: 2
Gomory: 191
Cover: 18
Implied bound: 32
Projected implied bound: 73
Clique: 11
MIR: 262
StrongCG: 6
Flow cover: 761
Flow path: 8
GUB cover: 2
Inf proof: 31
Zero half: 1
Explored 24410 nodes (987432 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.710717 0.710717
Time limit reached
Best objective 7.107171384685e-01, best bound 8.041189640931e-01, gap 13.1419%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 1
Seed for training 205
Seed for simulation 405
direc: array([[-2.99999995e+00, 1.09218902e-02, 2.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.44716547e+02, 7.44793029e-01, 1.43192536e+02]])
fopt: 0.4913395065635875
fun: -0.4901602550666351
message: 'Optimization terminated successfully.'
nfev: 577
nit: 7
status: 0
success: True
x: array([197.63814392, -0.6802252 , 150.04525678])
xopt: array([197., 0., 151.])
zopt: array([197., 197., 348.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdzfsvrl3.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9vdkbyep.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.49134
Presolve removed 845 rows and 525 columns
Presolve time: 0.03s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.164390e+00, 1673 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16439 0 151 0.49134 1.16439 137% - 0s
0 0 1.14916 0 193 0.49134 1.14916 134% - 0s
0 0 1.14749 0 190 0.49134 1.14749 134% - 0s
0 0 1.10360 0 190 0.49134 1.10360 125% - 0s
0 0 1.10171 0 186 0.49134 1.10171 124% - 0s
0 0 1.09260 0 194 0.49134 1.09260 122% - 0s
0 0 1.09201 0 191 0.49134 1.09201 122% - 0s
0 0 1.08400 0 185 0.49134 1.08400 121% - 0s
0 0 1.08361 0 186 0.49134 1.08361 121% - 0s
0 0 1.07823 0 203 0.49134 1.07823 119% - 0s
0 0 1.07784 0 206 0.49134 1.07784 119% - 0s
0 0 1.07763 0 212 0.49134 1.07763 119% - 0s
0 0 1.07763 0 211 0.49134 1.07763 119% - 0s
0 0 1.07762 0 211 0.49134 1.07762 119% - 0s
0 0 1.07762 0 211 0.49134 1.07762 119% - 0s
0 0 1.07762 0 169 0.49134 1.07762 119% - 0s
0 2 1.07762 0 163 0.49134 1.07762 119% - 0s
748 530 0.91535 19 197 0.49134 1.01147 106% 21.7 5s
780 545 0.97103 14 182 0.49134 0.99228 102% 30.5 10s
1445 562 0.80690 61 138 0.49134 0.96655 96.7% 32.4 15s
* 2175 674 221 0.5203620 0.95767 84.0% 29.4 17s
2773 897 0.91156 24 205 0.52036 0.95532 83.6% 29.3 20s
H 3636 1226 0.5423802 0.94039 73.4% 28.0 23s
4032 1438 0.88395 28 158 0.54238 0.93418 72.2% 27.8 25s
H 5380 1958 0.5789624 0.92022 58.9% 27.3 29s
5428 1958 infeasible 29 0.57896 0.92022 58.9% 27.3 30s
7519 2295 infeasible 47 0.57896 0.88526 52.9% 24.8 35s
H 8456 2310 0.6101261 0.87252 43.0% 23.5 38s
9000 2294 infeasible 23 0.61013 0.86371 41.6% 23.1 40s
10934 2559 infeasible 43 0.61013 0.83616 37.0% 21.8 45s
13580 3063 infeasible 44 0.61013 0.80584 32.1% 20.0 50s
16153 3534 infeasible 48 0.61013 0.78519 28.7% 19.0 55s
H16471 3620 0.6124276 0.78282 27.8% 18.9 57s
17554 3900 0.65509 87 130 0.61243 0.77935 27.3% 18.4 60s
20779 4898 0.72176 99 169 0.61243 0.76877 25.5% 17.4 86s
20788 4904 0.69683 77 223 0.61243 0.76877 25.5% 17.4 90s
20795 4909 0.71886 66 262 0.61243 0.76877 25.5% 17.4 96s
20798 4911 0.68789 76 274 0.61243 0.76877 25.5% 17.4 100s
20804 4915 0.63911 137 291 0.61243 0.76877 25.5% 17.3 107s
20808 4917 0.72614 70 306 0.61243 0.76877 25.5% 17.3 111s
20811 4919 0.65962 112 314 0.61243 0.76877 25.5% 17.3 115s
20815 4922 0.75037 68 327 0.61243 0.76877 25.5% 17.3 120s
20818 4924 0.62009 70 322 0.61243 0.76877 25.5% 17.3 125s
20821 4926 0.72521 84 321 0.61243 0.76877 25.5% 17.3 131s
20826 4929 0.76665 80 326 0.61243 0.76877 25.5% 17.3 136s
20828 4931 0.71360 70 319 0.61243 0.76877 25.5% 17.3 140s
20832 4933 0.65510 64 341 0.61243 0.76877 25.5% 17.3 145s
20837 4937 0.73628 46 351 0.61243 0.76877 25.5% 17.3 150s
20840 4939 0.71189 95 346 0.61243 0.76877 25.5% 17.3 155s
20843 4941 0.72794 80 341 0.61243 0.76877 25.5% 17.3 160s
20846 4943 0.75767 77 352 0.61243 0.76877 25.5% 17.3 165s
20849 4945 0.66737 81 339 0.61243 0.76877 25.5% 17.3 171s
20851 4946 0.73275 86 343 0.61243 0.76877 25.5% 17.3 175s
20854 4948 0.75426 88 329 0.61243 0.76877 25.5% 17.3 180s
20856 4949 0.63694 70 310 0.61243 0.76877 25.5% 17.3 186s
20858 4951 0.76195 59 311 0.61243 0.76877 25.5% 17.3 190s
20861 4953 0.76682 70 317 0.61243 0.76877 25.5% 17.3 195s
20864 4955 0.70773 86 313 0.61243 0.76877 25.5% 17.3 201s
20867 4957 0.65934 71 321 0.61243 0.76877 25.5% 17.3 205s
20871 4959 0.75457 64 315 0.61243 0.76877 25.5% 17.3 210s
20874 4961 0.65881 56 329 0.61243 0.76877 25.5% 17.3 215s
20878 4964 0.74595 60 327 0.61243 0.76877 25.5% 17.3 220s
20885 4969 0.62891 83 328 0.61243 0.76877 25.5% 17.3 225s
20888 4971 0.69683 77 307 0.61243 0.76877 25.5% 17.3 230s
20891 4973 0.72868 77 320 0.61243 0.76877 25.5% 17.3 235s
20894 4975 0.65611 103 322 0.61243 0.76877 25.5% 17.3 240s
20898 4977 0.68789 76 328 0.61243 0.76877 25.5% 17.3 246s
20901 4979 0.67570 73 319 0.61243 0.76877 25.5% 17.3 250s
20905 4982 0.66332 132 339 0.61243 0.76877 25.5% 17.3 255s
20908 4984 0.72614 70 325 0.61243 0.76877 25.5% 17.3 260s
20912 4987 0.76178 71 335 0.61243 0.76877 25.5% 17.3 266s
20915 4989 0.75037 68 343 0.61243 0.76877 25.5% 17.3 270s
20918 4991 0.62009 70 326 0.61243 0.76877 25.5% 17.3 276s
20920 4992 0.62948 126 328 0.61243 0.76877 25.5% 17.3 281s
20922 4993 0.75769 60 327 0.61243 0.76877 25.5% 17.2 286s
20924 4995 0.69193 87 328 0.61243 0.76877 25.5% 17.2 290s
20927 4997 0.75206 48 339 0.61243 0.76877 25.5% 17.2 295s
20929 4998 0.71007 104 342 0.61243 0.76877 25.5% 17.2 300s
20932 5000 0.65510 64 331 0.61243 0.76877 25.5% 17.2 306s
20934 5001 0.68059 83 336 0.61243 0.76877 25.5% 17.2 310s
20937 5003 0.73628 46 336 0.61243 0.76877 25.5% 17.2 315s
20942 5007 0.64569 106 341 0.61243 0.76877 25.5% 17.2 321s
20946 5009 0.75767 77 336 0.61243 0.76877 25.5% 17.2 327s
H20947 4756 0.6124282 0.76877 25.5% 17.2 330s
20952 4759 0.73971 56 341 0.61243 0.76877 25.5% 17.2 335s
20955 4761 0.65397 109 343 0.61243 0.76877 25.5% 17.2 340s
20958 4763 0.76195 59 340 0.61243 0.76877 25.5% 17.2 345s
20962 4766 0.66206 131 340 0.61243 0.76877 25.5% 17.2 350s
20966 4769 0.71724 41 337 0.61243 0.76877 25.5% 17.2 357s
20968 4770 0.65253 85 334 0.61243 0.76877 25.5% 17.2 360s
20971 4772 0.75457 64 331 0.61243 0.76877 25.5% 17.2 365s
20974 4774 0.65881 56 338 0.61243 0.76877 25.5% 17.2 371s
20977 4776 0.65768 106 338 0.61243 0.76877 25.5% 17.2 375s
20980 4778 0.73842 93 349 0.61243 0.76877 25.5% 17.2 380s
20984 4781 0.62869 57 336 0.61243 0.76877 25.5% 17.2 387s
20986 4782 0.75944 55 343 0.61243 0.76877 25.5% 17.2 391s
20989 4784 0.67665 89 346 0.61243 0.76877 25.5% 17.2 396s
20992 4786 0.75619 69 337 0.61243 0.76877 25.5% 17.2 400s
20996 4789 0.75757 87 349 0.61243 0.76877 25.5% 17.2 408s
20998 4790 0.68789 76 340 0.61243 0.76877 25.5% 17.2 412s
21000 4791 0.74280 80 355 0.61243 0.76877 25.5% 17.2 416s
21002 4793 0.65225 83 351 0.61243 0.76877 25.5% 17.2 421s
21004 4794 0.63911 137 344 0.61243 0.76877 25.5% 17.2 427s
21006 4797 0.74887 24 312 0.61243 0.76877 25.5% 21.1 440s
21008 4796 0.74395 25 288 0.61243 0.76877 25.5% 21.1 452s
21013 4799 0.74275 27 281 0.61243 0.76877 25.5% 21.7 457s
21044 4809 0.67337 32 289 0.61243 0.76877 25.5% 22.3 460s
H21095 4571 0.6128557 0.76877 25.4% 22.6 464s
21098 4572 0.69079 37 267 0.61286 0.76877 25.4% 22.6 465s
H21126 4346 0.6133360 0.76877 25.3% 22.8 468s
21174 4347 0.64373 49 230 0.61334 0.76877 25.3% 23.1 472s
H21185 4132 0.6166417 0.76877 24.7% 23.1 472s
21281 4138 infeasible 41 0.61664 0.76877 24.7% 23.6 475s
21377 4137 0.67846 41 265 0.61664 0.76877 24.7% 24.5 481s
21401 4138 0.65256 44 254 0.61664 0.76877 24.7% 24.7 485s
21473 4134 0.76877 40 300 0.61664 0.76877 24.7% 25.3 491s
21555 4123 0.69735 48 271 0.61664 0.76877 24.7% 26.2 495s
21670 4133 0.69373 41 278 0.61664 0.76877 24.7% 27.1 500s
21918 4124 0.68026 60 210 0.61664 0.76772 24.5% 28.2 506s
22041 4115 infeasible 51 0.61664 0.76328 23.8% 28.7 511s
22197 4124 infeasible 64 0.61664 0.76328 23.8% 29.4 516s
22400 4126 infeasible 37 0.61664 0.75250 22.0% 30.0 521s
22563 4134 infeasible 38 0.61664 0.75039 21.7% 30.8 525s
22829 4153 infeasible 92 0.61664 0.74924 21.5% 31.2 530s
23186 4186 0.68162 74 149 0.61664 0.74608 21.0% 31.6 535s
23507 4195 0.66516 53 216 0.61664 0.74202 20.3% 32.3 541s
23742 4188 0.67693 49 239 0.61664 0.74017 20.0% 33.0 546s
24042 4209 0.72457 43 279 0.61664 0.73757 19.6% 33.7 553s
24173 4185 0.69687 44 265 0.61664 0.73592 19.3% 33.7 559s
H24336 3991 0.6182505 0.73433 18.8% 34.0 563s
24380 3972 0.67746 70 157 0.61825 0.73424 18.8% 34.4 568s
24548 3983 cutoff 51 0.61825 0.73424 18.8% 35.1 575s
24760 3998 cutoff 45 0.61825 0.73148 18.3% 35.8 580s
24992 3999 0.62699 51 206 0.61825 0.72942 18.0% 36.3 585s
25192 4021 infeasible 64 0.61825 0.72604 17.4% 36.7 591s
25399 4011 infeasible 51 0.61825 0.72604 17.4% 37.5 596s
25584 4008 0.67763 47 216 0.61825 0.72415 17.1% 38.1 600s
Cutting planes:
Learned: 3
Gomory: 181
Cover: 13
Implied bound: 55
Projected implied bound: 45
Clique: 13
MIR: 232
StrongCG: 6
Flow cover: 708
Flow path: 2
GUB cover: 1
Inf proof: 42
Zero half: 1
Explored 25803 nodes (999721 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.61825 0.616642 0.613336 ... 0.520362
Time limit reached
Best objective 6.182504533290e-01, best bound 7.220021942399e-01, gap 16.7815%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprhhm4a6n.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoybw2j_x.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.00s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.6489247e+02 1.081060e+04 0.000000e+00 0s
354 1.1754495e+01 0.000000e+00 0.000000e+00 0s
Solved in 354 iterations and 0.02 seconds
Optimal objective 1.175449478e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.18621879e-07, -1.07182427e-08, -4.82244830e-07]])
fopt: 3.076547788470454
fun: -3.085215872125686
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 23.1345761 , -1. , -87.99580146])
xopt: array([23., 0., 0.])
zopt: array([23., 23., 23.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.70606090e-02, -9.79307618e-04, -8.12517722e-04],
[-1.50762504e-03, -2.33300206e-02, 1.99001160e-03]])
fopt: 1.9264515746787256
fun: -1.9392135018607533
message: 'Optimization terminated successfully.'
nfev: 239
nit: 3
status: 0
success: True
x: array([37.92207444, -0.75271321, -0.85422317])
xopt: array([38., 0., 0.])
zopt: array([38., 38., 38.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.21584649, 0.47054509, 0.00839828]])
fopt: 1.4514710289002326
fun: -1.4623354361850196
message: 'Optimization terminated successfully.'
nfev: 197
nit: 3
status: 0
success: True
x: array([ 52.10376826, -105.98525376, -0.99942521])
xopt: array([52., 0., 0.])
zopt: array([52., 52., 52.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.44228362, 0.01186898, 0.53401975]])
fopt: 1.5514204015536515
fun: -1.5584444086701355
message: 'Optimization terminated successfully.'
nfev: 304
nit: 4
status: 0
success: True
x: array([ 75.0003268 , -0.9858895 , -82.98356539])
xopt: array([75., 0., 0.])
zopt: array([75., 75., 75.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.94288016e-02, 2.71150023e-12, -2.61483685e-07]])
fopt: 1.546606771650473
fun: -1.5462520374266056
message: 'Optimization terminated successfully.'
nfev: 356
nit: 3
status: 0
success: True
x: array([96.84086813, 1. , 1.01273065])
xopt: array([96., 1., 1.])
zopt: array([96., 97., 98.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1493
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 2.80724278e-08, -2.11574390e-10, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, -0.00000000e+00]])
fopt: 1.3114610620738336
fun: -1.3111778727028682
message: 'Optimization terminated successfully.'
nfev: 415
nit: 3
status: 0
success: True
x: array([1.31920277e+02, 1.32888397e-02, 6.01569481e-01])
xopt: array([131., 1., 0.])
zopt: array([131., 132., 132.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.77527457e-04, -1.07073188e-09, 3.28649443e-05]])
fopt: 1.256644499853074
fun: -1.262727888963159
message: 'Optimization terminated successfully.'
nfev: 267
nit: 3
status: 0
success: True
x: array([150.35084453, 1.0001287 , -4.59379209])
xopt: array([150., 1., 0.])
zopt: array([150., 151., 151.])
*******************************************
Period: 9
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.150956024992627
fun: -1.1504624682494544
message: 'Optimization terminated successfully.'
nfev: 261
nit: 2
status: 0
success: True
x: array([166.8318146, 1.0002248, 1. ])
xopt: array([166., 2., 1.])
zopt: array([166., 168., 169.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.01886153e-03, 4.83375535e-05, 8.52437250e-05]])
fopt: 1.0842277339192472
fun: -1.0885001357968602
message: 'Optimization terminated successfully.'
nfev: 195
nit: 2
status: 0
success: True
x: array([ 1.89131613e+02, -1.34047486e-01, -9.99955607e-01])
xopt: array([189., 0., 0.])
zopt: array([189., 189., 189.])
*******************************************
Period: 11
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.979726986615435
fun: -0.9803193236837034
message: 'Optimization terminated successfully.'
nfev: 190
nit: 2
status: 0
success: True
x: array([204.24562789, 1.00747014, 1.00075365])
xopt: array([204., 1., 1.])
zopt: array([204., 205., 206.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 21.78372035]])
fopt: 0.9745033974366635
fun: -0.9752497860333882
message: 'Optimization terminated successfully.'
nfev: 398
nit: 5
status: 0
success: True
x: array([203.26069849, 1.00006108, 27.00246647])
xopt: array([203., 1., 27.])
zopt: array([203., 204., 231.])
*******************************************
Period: 13
direc: array([[1.88761418e-03, 9.33393788e-06, 1.87575801e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.58758006e-02, 1.37083322e+01, 2.79817403e+01]])
fopt: 0.9409737618640697
fun: -0.9355513514699798
message: 'Optimization terminated successfully.'
nfev: 350
nit: 4
status: 0
success: True
x: array([202.65203077, 16.21138069, 33.01050989])
xopt: array([202., 16., 34.])
zopt: array([202., 218., 252.])
*******************************************
Period: 14
direc: array([[5.22042956e-04, 2.56603248e-06, 5.97646711e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.04924194e-02, 2.00988179e+01, 4.31420402e+01]])
fopt: 0.8513705379665748
fun: -0.8490521825966209
message: 'Optimization terminated successfully.'
nfev: 275
nit: 3
status: 0
success: True
x: array([204.45463855, 23.09826073, 48.61761116])
xopt: array([204., 23., 49.])
zopt: array([204., 227., 276.])
*******************************************
Period: 15
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-14.854862 , -46.85549851, 62.03573053]])
fopt: 0.7023179901868876
fun: -0.8832903654309058
message: 'Optimization terminated successfully.'
nfev: 461
nit: 6
status: 0
success: True
x: array([233.48149505, -33.48146441, 97.01644219])
xopt: array([233., 0., 97.])
zopt: array([233., 233., 330.])
*******************************************
Period: 16
direc: array([[8.10063284e-02, 3.27458676e-04, 3.27458676e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4687998524101571
fun: -0.46800355207293454
message: 'Optimization terminated successfully.'
nfev: 359
nit: 3
status: 0
success: True
x: array([248.45978856, 2.00032746, 3.01083751])
xopt: array([248., 2., 4.])
zopt: array([248., 250., 254.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ],
[ 0. , 33.33098828, 0. ]])
fopt: 0.4887338097756989
fun: -0.48640200714514337
message: 'Optimization terminated successfully.'
nfev: 429
nit: 7
status: 0
success: True
x: array([203.77974395, 46.00009344, 3. ])
xopt: array([203., 46., 3.])
zopt: array([203., 249., 252.])
*******************************************
Period: 18
direc: array([[7.29221292e-04, 2.93178048e-06, 2.93178048e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.32712294022557187
fun: -0.32565033992656917
message: 'Optimization terminated successfully.'
nfev: 364
nit: 3
status: 0
success: True
x: array([249.73056962, 2.00000243, 3.00000293])
xopt: array([249., 2., 4.])
zopt: array([249., 251., 255.])
*******************************************
Period: 19
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -5.23556929e-07, -8.05508993e-05]])
fopt: 0.27259279323711916
fun: -0.271482692978715
message: 'Optimization terminated successfully.'
nfev: 288
nit: 3
status: 0
success: True
x: array([249.17549148, 2.00886323, 3.36363633])
xopt: array([249., 2., 4.])
zopt: array([249., 251., 255.])
*******************************************
Period: 20
direc: array([[ 0. , 0. , 0. ],
[ 0. , -3.71002873, 2. ],
[ 0. , -58.16575431, 39.19494598]])
fopt: 0.3131104736042811
fun: -0.30106340562720946
message: 'Optimization terminated successfully.'
nfev: 552
nit: 7
status: 0
success: True
x: array([250.58981943, -67.79034112, 49.00003151])
xopt: array([250., 0., 50.])
zopt: array([250., 250., 300.])
*******************************************
Period: 21
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0. , 0.0064505 , -0.25626782]])
fopt: 0.19546540119594571
fun: -0.19427197175027353
message: 'Optimization terminated successfully.'
nfev: 557
nit: 7
status: 0
success: True
x: array([250.81265435, 1.02967578, 6.07115072])
xopt: array([250., 1., 7.])
zopt: array([250., 251., 258.])
*******************************************
Period: 22
direc: array([[ 0. , 0. , 0. ],
[ 0. , 9.00649968, 124.88704662],
[ 0. , -15.54221928, 18.95387261]])
fopt: 0.45902924309931803
fun: -0.6889657304726863
message: 'Optimization terminated successfully.'
nfev: 405
nit: 6
status: 0
success: True
x: array([248.52810529, -48.383642 , 199.00000001])
xopt: array([248., 0., 199.])
zopt: array([248., 248., 447.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 9.94847961e-04, -1.55107855e-02],
[-0.00000000e+00, 1.23265744e-01, 7.06448778e-05]])
fopt: 0.5024420152439962
fun: -0.6322913252308076
message: 'Optimization terminated successfully.'
nfev: 614
nit: 7
status: 0
success: True
x: array([250.15240156, -36.15240091, 163.00000128])
xopt: array([250., 0., 163.])
zopt: array([250., 250., 413.])
*******************************************
Period: 24
direc: array([[-2.45834890e+00, -0.00000000e+00, -2.05006778e-02],
[-4.28473378e-03, -3.11622474e+01, 3.11622122e+01],
[ 1.22793325e+00, 1.42628485e+01, 1.06958069e+02]])
fopt: 0.4949874014829373
fun: -0.6683176756146243
message: 'Optimization terminated successfully.'
nfev: 636
nit: 9
status: 0
success: True
x: array([241.51112449, -41.50943952, 204. ])
xopt: array([241., 0., 204.])
zopt: array([241., 241., 445.])
*******************************************
Period: 25
direc: array([[ 5.54373900e-06, 2.25945499e-08, 2.22994804e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.72916494e-04, -1.29500277e-04, 1.57459888e+02]])
fopt: 0.740615507882725
fun: -0.7403123966765898
message: 'Optimization terminated successfully.'
nfev: 534
nit: 7
status: 0
success: True
x: array([186.00000762, 14.00000005, 210.00004602])
xopt: array([186., 14., 211.])
zopt: array([186., 200., 411.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -3.57148774e-06, 1.42332864e+02]])
fopt: 0.4500834973648173
fun: -0.6478460884451467
message: 'Optimization terminated successfully.'
nfev: 370
nit: 5
status: 0
success: True
x: array([250.13556095, -50.13545762, 197.00000078])
xopt: array([250., 0., 197.])
zopt: array([250., 250., 447.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -10.41228768, 10.00170529]])
fopt: 0.41462552478884807
fun: -0.6310998095052169
message: 'Optimization terminated successfully.'
nfev: 409
nit: 6
status: 0
success: True
x: array([251.03504856, -51.03496798, 209.00000014])
xopt: array([251., 0., 209.])
zopt: array([251., 251., 460.])
*******************************************
Period: 28
direc: array([[ 0.17355229, 3.00069669, 2.02162419],
[ 0. , 1. , 0. ],
[-152.46584924, 142.10281857, 64.62526114]])
fopt: 0.6893600745376748
fun: -0.6889032818479394
message: 'Optimization terminated successfully.'
nfev: 579
nit: 7
status: 0
success: True
x: array([ 81.86966278, 203.00301529, 105.06594533])
xopt: array([ 81., 203., 106.])
zopt: array([ 81., 284., 390.])
*******************************************
Period: 29
direc: array([[2.01017385e-02, 8.09748804e-05, 1.62888746e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.49262871e-06, 5.84636619e-06, 2.73659867e-04]])
fopt: 0.1891548663725988
fun: -0.18916251204182008
message: 'Optimization terminated successfully.'
nfev: 425
nit: 4
status: 0
success: True
x: array([249.26667613, 2.00268596, 4.01203233])
xopt: array([249., 3., 5.])
zopt: array([249., 252., 257.])
*******************************************
Period: 30
direc: array([[ 7.16593685e-01, 2.88333877e-03, 5.81048812e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.13431108e-01, -1.24769557e+01, 5.13441913e+01]])
fopt: 0.45231760090302825
fun: -0.6404663673188399
message: 'Optimization terminated successfully.'
nfev: 351
nit: 5
status: 0
success: True
x: array([248.79157826, -48.79157162, 212.00000006])
xopt: array([248., 0., 212.])
zopt: array([248., 248., 460.])
*******************************************
Period: 31
direc: array([[ 2.66339839e-10, 1.00000027e+00, 6.14286563e-07],
[-6.17995725e+01, 1.98717843e+01, 4.63516812e+01],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7794964891305822
fun: -0.7786524840231249
message: 'Optimization terminated successfully.'
nfev: 774
nit: 8
status: 0
success: True
x: array([100.13423509, 99.00080309, 220.31753223])
xopt: array([100., 100., 220.])
zopt: array([100., 200., 420.])
*******************************************
Period: 32
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.18048912583528104
fun: -0.17969363168422706
message: 'Optimization terminated successfully.'
nfev: 510
nit: 6
status: 0
success: True
x: array([252.34286606, 3.04196553, 3.0269147 ])
xopt: array([252., 4., 4.])
zopt: array([252., 256., 260.])
*******************************************
Period: 33
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 1.34514266, 156.2218887 ]])
fopt: 0.5021618288853373
fun: -0.6336801150436875
message: 'Optimization terminated successfully.'
nfev: 332
nit: 5
status: 0
success: True
x: array([249.8768214 , -36.00000465, 198.00000526])
xopt: array([249., 0., 198.])
zopt: array([249., 249., 447.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-164.72267407, 0. , 127.28321326]])
fopt: 0.7038878613472543
fun: -0.7020669985336234
message: 'Optimization terminated successfully.'
nfev: 568
nit: 7
status: 0
success: True
x: array([184.71061903, 16.00002572, 212. ])
xopt: array([184., 16., 213.])
zopt: array([184., 200., 413.])
*******************************************
Period: 35
direc: array([[-1.95568794, 0. , 2.00000003],
[ 0. , 1. , 0. ],
[ 6.74814095, 3.75558208, 6.99164065]])
fopt: 0.6919922373642559
fun: -0.6908418827514383
message: 'Optimization terminated successfully.'
nfev: 634
nit: 8
status: 0
success: True
x: array([187.23914355, 13.00000043, 202.00080004])
xopt: array([187., 14., 203.])
zopt: array([187., 201., 404.])
*******************************************
Period: 36
direc: array([[-2.35552824e+02, 1.26522841e+02, 1.26522841e+02],
[-2.18858705e-10, -6.52815793e-07, -1.26369929e-06],
[ 0.00000000e+00, 1.00000000e+00, -1.20508048e-11]])
fopt: 0.7308607308504375
fun: -0.7278472843849042
message: 'Optimization terminated successfully.'
nfev: 641
nit: 8
status: 0
success: True
x: array([ 77.94390995, 142. , 142.01833612])
xopt: array([ 78., 143., 143.])
zopt: array([ 78., 221., 364.])
*******************************************
Period: 37
direc: array([[-2.35603934e+02, 1.25339074e+02, 1.25339074e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.44063848e-04, 2.31413464e+01, 4.62829828e+01]])
fopt: 0.773354775924173
fun: -0.7720064734158938
message: 'Optimization terminated successfully.'
nfev: 559
nit: 7
status: 0
success: True
x: array([ 78.12278627, 157. , 183.14797184])
xopt: array([ 78., 157., 184.])
zopt: array([ 78., 235., 419.])
*******************************************
Period: 38
direc: array([[11.04318448, 9.14370745, 8.08580752],
[ 0. , 1. , 0. ],
[-0. , 0. , 0. ]])
fopt: 0.6539353672444143
fun: -0.6522522818883576
message: 'Optimization terminated successfully.'
nfev: 654
nit: 8
status: 0
success: True
x: array([178.89090822, 22.03845373, 192.03773799])
xopt: array([178., 22., 193.])
zopt: array([178., 200., 393.])
*******************************************
Period: 39
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.17418888e-01, 6.38225361e-03, 6.38882557e+01]])
fopt: 0.6621585718960942
fun: -0.6617418444928941
message: 'Optimization terminated successfully.'
nfev: 639
nit: 8
status: 0
success: True
x: array([196.99993633, 3.00149234, 213.04992372])
xopt: array([196., 4., 213.])
zopt: array([196., 200., 413.])
*******************************************
Period: 40
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.72580309e+02, 1.55037994e+02, 1.04068617e+02],
[-1.41640526e-04, -6.63541753e-02, -0.00000000e+00]])
fopt: 0.6528163434348833
fun: -0.6517554251898366
message: 'Optimization terminated successfully.'
nfev: 950
nit: 12
status: 0
success: True
x: array([ 80.03244308, 197.00184483, 111.13713465])
xopt: array([ 80., 197., 112.])
zopt: array([ 80., 277., 389.])
*******************************************
Period: 41
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-9.46004787, 41.32045403, 25.94227381]])
fopt: 0.6812109422652759
fun: -0.6800083890923472
message: 'Optimization terminated successfully.'
nfev: 538
nit: 8
status: 0
success: True
x: array([ 75.9999309 , 208. , 137.03844812])
xopt: array([ 76., 208., 138.])
zopt: array([ 76., 284., 422.])
*******************************************
Period: 42
direc: array([[ -8.81552869, 3. , 3. ],
[-249.94941863, 99.23658533, 113.76113123],
[ -1.10832725, 97.01103261, 0.35195857]])
fopt: 0.6630161456582222
fun: -0.6617431651319396
message: 'Optimization terminated successfully.'
nfev: 698
nit: 9
status: 0
success: True
x: array([ 73.97900384, 217.02081025, 129. ])
xopt: array([ 74., 217., 130.])
zopt: array([ 74., 291., 421.])
*******************************************
Period: 43
direc: array([[ 15.75066867, 13.96305314, 16.30541411],
[ 0. , 1. , 0. ],
[-18.31261774, 28.99940601, 40.53072568]])
fopt: 0.75209074198316
fun: -0.7518218384901425
message: 'Optimization terminated successfully.'
nfev: 413
nit: 7
status: 0
success: True
x: array([ 76.04003857, 132. , 226.11421045])
xopt: array([ 76., 132., 227.])
zopt: array([ 76., 208., 435.])
*******************************************
Period: 44
direc: array([[-7.21488493e-04, 1.01017345e+00, 1.00015388e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.39165552e+02, 4.03807250e+01, 3.33139342e+01]])
fopt: 0.6779352125539784
fun: -0.6769124474284376
message: 'Optimization terminated successfully.'
nfev: 593
nit: 10
status: 0
success: True
x: array([ 80.00003969, 183.00001178, 169.07183951])
xopt: array([ 80., 183., 170.])
zopt: array([ 80., 263., 433.])
*******************************************
Period: 45
direc: array([[ 1. , 0. , 0. ],
[ -4.69951547, 3.16527203, 6.2208946 ],
[ -0.55511421, -7.97350881, -32.05864752]])
fopt: 0.710749724788277
fun: -0.7072084060306122
message: 'Optimization terminated successfully.'
nfev: 825
nit: 13
status: 0
success: True
x: array([ 83.99996024, 119. , 242.30814587])
xopt: array([ 84., 120., 242.])
zopt: array([ 84., 204., 446.])
*******************************************
Period: 46
direc: array([[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-4.80448404e-06, 7.99999528e+00, 0.00000000e+00],
[-1.96465557e+02, 2.46329524e+02, 0.00000000e+00]])
fopt: 0.5673587957922109
fun: -0.5656600211291761
message: 'Optimization terminated successfully.'
nfev: 1034
nit: 15
status: 0
success: True
x: array([ 77.39065612, 275.00000009, 72.48791252])
xopt: array([ 77., 275., 73.])
zopt: array([ 77., 352., 425.])
*******************************************
Period: 47
direc: array([[ 1. , 0. , 0. ],
[ -3.47725217, 1.00898473, 0.99 ],
[-227.22444035, 57.19203884, 168.23209364]])
fopt: 0.6127669971040913
fun: -0.6110055621924371
message: 'Optimization terminated successfully.'
nfev: 394
nit: 6
status: 0
success: True
x: array([134.22594396, 66.03540687, 188.00076601])
xopt: array([134., 67., 189.])
zopt: array([134., 201., 390.])
*******************************************
Period: 48
direc: array([[-3.30536675e-04, 7.80291236e-05, 4.23397736e-03],
[-1.19561222e+00, 9.99999670e-01, -1.78959477e-05],
[ 3.80954930e-08, 9.99999968e-01, 5.68434189e-13]])
fopt: 0.3333199146122319
fun: -0.3317784136857178
message: 'Optimization terminated successfully.'
nfev: 654
nit: 8
status: 0
success: True
x: array([295.80054049, 10.00590219, 57.32712281])
xopt: array([295., 11., 58.])
zopt: array([295., 306., 364.])
*******************************************
Period: 49
direc: array([[ 3.68442781, 11.98015461, 9.75923711],
[-1.90983005, 0.95898725, 1. ],
[ 1.15779356, 14.18658619, 11.49509299]])
fopt: 0.6411313651930975
fun: -0.6401855946261581
message: 'Optimization terminated successfully.'
nfev: 688
nit: 11
status: 0
success: True
x: array([ 78.82895594, 201. , 152.31943423])
xopt: array([ 78., 201., 152.])
zopt: array([ 78., 279., 431.])
*******************************************
Period: 50
direc: array([[ 7.80714755e+00, 6.88992519e+00, 1.39596674e+01],
[-6.82139500e+00, 1.01001548e+01, 1.88131376e+01],
[ 5.95449271e-03, 3.48207934e-04, -1.64222555e-02]])
fopt: 0.7011599835567599
fun: -0.6992217869936636
message: 'Optimization terminated successfully.'
nfev: 744
nit: 10
status: 0
success: True
x: array([ 81.75841268, 127.03645418, 239.00057428])
xopt: array([ 81., 128., 239.])
zopt: array([ 81., 209., 448.])
*******************************************
Period: 51
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.56401879e+02, 1.49464458e+02, 8.54082614e+01],
[-9.03137956e-03, 9.99987319e-01, -7.24611587e-06]])
fopt: 0.5828650487441873
fun: -0.5795550880716475
message: 'Optimization terminated successfully.'
nfev: 729
nit: 12
status: 0
success: True
x: array([ 76.00133793, 237. , 105.00520991])
xopt: array([ 76., 238., 106.])
zopt: array([ 76., 314., 420.])
*******************************************
Period: 52
direc: array([[ 1. , 0. , 0. ],
[-175.72859909, 97.49914042, 189.15344914],
[ 16.90938496, 0.2705513 , -44.67958748]])
fopt: 0.6919038231518193
fun: -0.6912020699218974
message: 'Optimization terminated successfully.'
nfev: 517
nit: 9
status: 0
success: True
x: array([ 76.0156376 , 128.03586258, 235.00002505])
xopt: array([ 76., 129., 236.])
zopt: array([ 76., 205., 441.])
*******************************************
Period: 53
direc: array([[ 1. , 0. , 0. ],
[-0. , 0. , 0. ],
[-0.05568321, 0.94427191, 0. ]])
fopt: 0.2422874344456364
fun: -0.2412874205447236
message: 'Optimization terminated successfully.'
nfev: 520
nit: 8
status: 0
success: True
x: array([346.97291766, 7.02756313, 5.03548451])
xopt: array([346., 8., 6.])
zopt: array([346., 354., 360.])
*******************************************
Period: 54
direc: array([[ -6.70889371, 1.01095725, 2.03312241],
[ -8.64277758, 3.02398152, 3.07259161],
[-19.3333636 , 9.00139996, 6.87319908]])
fopt: 0.39737575762489724
fun: -0.3905510084996831
message: 'Optimization terminated successfully.'
nfev: 841
nit: 11
status: 0
success: True
x: array([ 79.46990808, 107.00341173, 102.01542209])
xopt: array([ 80., 108., 103.])
zopt: array([ 80., 188., 291.])
*******************************************
Period: 55
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.10459359e+01, 8.00023148e+00, 1.21133003e+01],
[ 1.02208743e+00, 3.05263956e+00, -6.32914812e-03]])
fopt: 0.567135933340857
fun: -0.564509516260651
message: 'Optimization terminated successfully.'
nfev: 610
nit: 9
status: 0
success: True
x: array([ 84.03478005, 148.05164679, 141.00083108])
xopt: array([ 84., 149., 142.])
zopt: array([ 84., 233., 375.])
*******************************************
Period: 56
direc: array([[-29.11692388, 26.03909572, 23.38316306],
[ 0. , 1. , 0. ],
[ 1.73494245, 7.05799801, 4.60045103]])
fopt: 0.6139570658863702
fun: -0.6140737698784645
message: 'Optimization terminated successfully.'
nfev: 461
nit: 7
status: 0
success: True
x: array([ 76.51725975, 187.04598848, 166.02456619])
xopt: array([ 76., 187., 167.])
zopt: array([ 76., 263., 430.])
*******************************************
Period: 57
direc: array([[-158.91672889, 48.00244338, 95.45256706],
[ 0. , 1. , 0. ],
[ -1.12891921, 7.08398163, 10.94308239]])
fopt: 0.5974976043403606
fun: -0.5974633203561559
message: 'Optimization terminated successfully.'
nfev: 456
nit: 7
status: 0
success: True
x: array([118.02280505, 84.00000209, 211.00000015])
xopt: array([118., 84., 211.])
zopt: array([118., 202., 413.])
*******************************************
Period: 58
direc: array([[-243.07434781, 73.07785972, 144.44267964],
[ 0. , 1. , 0. ],
[ 3.4161212 , 11.10317355, 19.41798776]])
fopt: 0.6549597928062078
fun: -0.6544558732219588
message: 'Optimization terminated successfully.'
nfev: 496
nit: 8
status: 0
success: True
x: array([ 76.87070384, 128. , 238.34690948])
xopt: array([ 77., 128., 238.])
zopt: array([ 77., 205., 443.])
*******************************************
Period: 59
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.23520254e+02, 7.27701184e+01, 1.00941133e+02],
[ 1.90372919e-10, -3.37105537e-02, -0.00000000e+00]])
fopt: 0.5797264921499686
fun: -0.5781340431379991
message: 'Optimization terminated successfully.'
nfev: 1101
nit: 13
status: 0
success: True
x: array([ 84.00645818, 171.00000025, 154.12881438])
xopt: array([ 84., 172., 155.])
zopt: array([ 84., 256., 411.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuhjel2dr.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpliozoy9a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [7e-02, 7e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.96966
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.07655 1.96966
Optimal solution found (tolerance 1.00e-02)
Best objective 3.076547788470e+00, best bound 3.076547788470e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpphkueo4a.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbyjd48aa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21263
Presolve removed 93 rows and 71 columns
Presolve time: 0.00s
Presolved: 6 rows, 5 columns, 17 nonzeros
Variable types: 2 continuous, 3 integer (2 binary)
Root relaxation: objective 1.926452e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.9264516 1.92645 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.92645 1.21263
Optimal solution found (tolerance 1.00e-02)
Best objective 1.926451574679e+00, best bound 1.926451574679e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1y2f11dn.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdb3bv2rw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17617
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 1.541860e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54186 0 3 1.17617 1.54186 31.1% - 0s
H 0 0 1.4514710 1.54186 6.23% - 0s
0 0 cutoff 0 1.45147 1.45147 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.45147 1.17617
Optimal solution found (tolerance 1.00e-02)
Best objective 1.451471028900e+00, best bound 1.451471028900e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo92k8kpi.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdv3n06nd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.946683
Presolve removed 130 rows and 91 columns
Presolve time: 0.01s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 1.724271e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72427 0 8 0.94668 1.72427 82.1% - 0s
H 0 0 1.5514204 1.72427 11.1% - 0s
0 0 1.59446 0 1 1.55142 1.59446 2.77% - 0s
0 0 cutoff 0 1.55142 1.55142 0.00% - 0s
Cutting planes:
Gomory: 3
Flow path: 1
Explored 1 nodes (44 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.55142 0.946683
Optimal solution found (tolerance 1.00e-02)
Best objective 1.551420401554e+00, best bound 1.551420401554e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpog1a0j3e.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvrccefih.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05457
Presolve removed 120 rows and 82 columns
Presolve time: 0.00s
Presolved: 117 rows, 93 columns, 412 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 2.070570e+00, 70 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07057 0 5 1.05457 2.07057 96.3% - 0s
H 0 0 1.6568258 2.07057 25.0% - 0s
H 0 0 1.6591654 2.07057 24.8% - 0s
0 0 1.76638 0 1 1.65917 1.76638 6.46% - 0s
0 0 1.76638 0 2 1.65917 1.76638 6.46% - 0s
0 0 cutoff 0 1.65917 1.65917 0.00% - 0s
Cutting planes:
Gomory: 3
Implied bound: 1
MIR: 2
Flow cover: 4
Explored 1 nodes (117 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.65917 1.65683 1.05457
Optimal solution found (tolerance 1.00e-02)
Best objective 1.659165376298e+00, best bound 1.659165376298e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpam4o0uu6.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8z2t53x6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31389
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 1.851296e+00, 92 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85130 0 6 1.31389 1.85130 40.9% - 0s
H 0 0 1.4495916 1.85130 27.7% - 0s
0 0 1.54884 0 2 1.44959 1.54884 6.85% - 0s
0 0 1.53893 0 2 1.44959 1.53893 6.16% - 0s
0 0 cutoff 0 1.44959 1.44959 0.00% - 0s
Cutting planes:
Gomory: 3
Implied bound: 1
MIR: 2
Flow cover: 5
Explored 1 nodes (134 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.44959 1.31389
Optimal solution found (tolerance 1.00e-02)
Best objective 1.449591613533e+00, best bound 1.449591613533e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplo2byz3i.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7ml0ylv6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15089
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.244130e+00, 123 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24413 0 9 1.15089 2.24413 95.0% - 0s
0 0 2.07104 0 14 1.15089 2.07104 80.0% - 0s
0 0 2.07104 0 14 1.15089 2.07104 80.0% - 0s
0 0 1.92748 0 13 1.15089 1.92748 67.5% - 0s
0 0 1.92596 0 13 1.15089 1.92596 67.3% - 0s
0 0 1.91678 0 10 1.15089 1.91678 66.5% - 0s
0 0 1.91662 0 10 1.15089 1.91662 66.5% - 0s
0 0 1.89659 0 14 1.15089 1.89659 64.8% - 0s
0 0 1.89603 0 12 1.15089 1.89603 64.7% - 0s
0 0 1.89603 0 12 1.15089 1.89603 64.7% - 0s
0 0 1.87441 0 14 1.15089 1.87441 62.9% - 0s
0 0 1.86830 0 14 1.15089 1.86830 62.3% - 0s
0 0 1.86245 0 14 1.15089 1.86245 61.8% - 0s
0 0 1.86031 0 14 1.15089 1.86031 61.6% - 0s
0 0 1.86010 0 14 1.15089 1.86010 61.6% - 0s
0 0 1.85712 0 14 1.15089 1.85712 61.4% - 0s
0 0 1.85365 0 14 1.15089 1.85365 61.1% - 0s
0 0 1.85317 0 14 1.15089 1.85317 61.0% - 0s
0 0 1.85317 0 10 1.15089 1.85317 61.0% - 0s
0 2 1.85317 0 10 1.15089 1.85317 61.0% - 0s
* 25 12 8 1.5213654 1.65860 9.02% 5.0 0s
Cutting planes:
Gomory: 5
Implied bound: 4
MIR: 7
Flow cover: 15
Explored 38 nodes (443 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52137 1.15089
Optimal solution found (tolerance 1.00e-02)
Best objective 1.521365398974e+00, best bound 1.521365398974e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmj6cwwu3.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuhj7nz0m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21994
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.248995e+00, 149 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24899 0 11 1.21994 2.24899 84.4% - 0s
0 0 2.03830 0 18 1.21994 2.03830 67.1% - 0s
0 0 1.94251 0 9 1.21994 1.94251 59.2% - 0s
0 0 1.93060 0 9 1.21994 1.93060 58.3% - 0s
0 0 1.90039 0 17 1.21994 1.90039 55.8% - 0s
0 0 1.90011 0 16 1.21994 1.90011 55.8% - 0s
0 0 1.89802 0 16 1.21994 1.89802 55.6% - 0s
0 0 1.89802 0 16 1.21994 1.89802 55.6% - 0s
0 0 1.87889 0 16 1.21994 1.87889 54.0% - 0s
0 0 1.87665 0 11 1.21994 1.87665 53.8% - 0s
0 0 1.86010 0 19 1.21994 1.86010 52.5% - 0s
0 0 1.85864 0 19 1.21994 1.85864 52.4% - 0s
0 0 1.85705 0 17 1.21994 1.85705 52.2% - 0s
0 0 1.85705 0 18 1.21994 1.85705 52.2% - 0s
0 0 1.85597 0 18 1.21994 1.85597 52.1% - 0s
0 0 1.85597 0 16 1.21994 1.85597 52.1% - 0s
H 0 0 1.5269932 1.85597 21.5% - 0s
0 2 1.85597 0 15 1.52699 1.85597 21.5% - 0s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 4
MIR: 2
Flow cover: 15
Explored 40 nodes (540 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52699 1.21994
Optimal solution found (tolerance 1.00e-02)
Best objective 1.526993172585e+00, best bound 1.539448213518e+00, gap 0.8157%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpidnd350i.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps_86vskb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28325
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.166735e+00, 155 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16673 0 13 1.28325 2.16673 68.8% - 0s
0 0 1.92951 0 22 1.28325 1.92951 50.4% - 0s
0 0 1.86540 0 16 1.28325 1.86540 45.4% - 0s
0 0 1.85888 0 15 1.28325 1.85888 44.9% - 0s
0 0 1.85767 0 15 1.28325 1.85767 44.8% - 0s
0 0 1.85767 0 16 1.28325 1.85767 44.8% - 0s
0 0 1.84156 0 18 1.28325 1.84156 43.5% - 0s
0 0 1.83055 0 15 1.28325 1.83055 42.7% - 0s
0 0 1.81524 0 19 1.28325 1.81524 41.5% - 0s
0 0 1.81501 0 19 1.28325 1.81501 41.4% - 0s
0 0 1.81501 0 19 1.28325 1.81501 41.4% - 0s
0 0 1.81298 0 16 1.28325 1.81298 41.3% - 0s
0 0 1.81068 0 20 1.28325 1.81068 41.1% - 0s
0 0 1.81026 0 20 1.28325 1.81026 41.1% - 0s
0 0 1.80401 0 13 1.28325 1.80401 40.6% - 0s
0 0 1.80342 0 17 1.28325 1.80342 40.5% - 0s
0 0 1.80178 0 19 1.28325 1.80178 40.4% - 0s
0 0 1.79691 0 19 1.28325 1.79691 40.0% - 0s
0 0 1.79155 0 20 1.28325 1.79155 39.6% - 0s
0 0 1.79102 0 20 1.28325 1.79102 39.6% - 0s
0 0 1.78978 0 21 1.28325 1.78978 39.5% - 0s
0 0 1.78707 0 21 1.28325 1.78707 39.3% - 0s
0 0 1.78482 0 22 1.28325 1.78482 39.1% - 0s
0 0 1.78478 0 22 1.28325 1.78478 39.1% - 0s
0 0 1.78131 0 19 1.28325 1.78131 38.8% - 0s
0 0 1.78121 0 21 1.28325 1.78121 38.8% - 0s
0 0 1.78121 0 22 1.28325 1.78121 38.8% - 0s
0 0 1.78121 0 22 1.28325 1.78121 38.8% - 0s
0 2 1.78121 0 20 1.28325 1.78121 38.8% - 0s
* 89 31 15 1.4736660 1.63911 11.2% 6.4 0s
H 99 14 1.4755546 1.62116 9.87% 6.5 0s
Cutting planes:
Gomory: 6
Cover: 4
Implied bound: 9
MIR: 12
Flow cover: 26
Inf proof: 1
Explored 129 nodes (1211 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.47555 1.47367 1.28325
Optimal solution found (tolerance 1.00e-02)
Best objective 1.475554605925e+00, best bound 1.475554605925e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6_fseyqe.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqosntzde.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25982
Presolve removed 194 rows and 125 columns
Presolve time: 0.00s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.150208e+00, 211 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15021 0 14 1.25982 2.15021 70.7% - 0s
0 0 1.90724 0 24 1.25982 1.90724 51.4% - 0s
0 0 1.85442 0 11 1.25982 1.85442 47.2% - 0s
0 0 1.84672 0 15 1.25982 1.84672 46.6% - 0s
0 0 1.82811 0 13 1.25982 1.82811 45.1% - 0s
0 0 1.81551 0 16 1.25982 1.81551 44.1% - 0s
0 0 1.81551 0 17 1.25982 1.81551 44.1% - 0s
0 0 1.80242 0 20 1.25982 1.80242 43.1% - 0s
0 0 1.80035 0 20 1.25982 1.80035 42.9% - 0s
0 0 1.79790 0 15 1.25982 1.79790 42.7% - 0s
0 0 1.79696 0 15 1.25982 1.79696 42.6% - 0s
0 0 1.78510 0 20 1.25982 1.78510 41.7% - 0s
0 0 1.78342 0 19 1.25982 1.78342 41.6% - 0s
0 0 1.78299 0 19 1.25982 1.78299 41.5% - 0s
0 0 1.78299 0 19 1.25982 1.78299 41.5% - 0s
0 0 1.77841 0 19 1.25982 1.77841 41.2% - 0s
0 0 1.77841 0 19 1.25982 1.77841 41.2% - 0s
0 0 1.77793 0 20 1.25982 1.77793 41.1% - 0s
0 0 1.77793 0 20 1.25982 1.77793 41.1% - 0s
0 2 1.77793 0 20 1.25982 1.77793 41.1% - 0s
H 56 20 1.2999780 1.68654 29.7% 8.6 0s
* 58 16 20 1.4681351 1.68654 14.9% 8.4 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 15
MIR: 9
Flow cover: 22
Network: 1
Explored 91 nodes (1217 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.46814 1.29998 1.25982
Optimal solution found (tolerance 1.00e-02)
Best objective 1.468135060928e+00, best bound 1.468135060928e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_b_7tpg4.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc6ubgfa9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27255
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.108084e+00, 209 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10808 0 16 1.27255 2.10808 65.7% - 0s
0 0 1.85641 0 30 1.27255 1.85641 45.9% - 0s
0 0 1.82824 0 33 1.27255 1.82824 43.7% - 0s
0 0 1.82456 0 34 1.27255 1.82456 43.4% - 0s
0 0 1.82420 0 34 1.27255 1.82420 43.4% - 0s
0 0 1.82191 0 34 1.27255 1.82191 43.2% - 0s
0 0 1.82062 0 37 1.27255 1.82062 43.1% - 0s
0 0 1.82062 0 37 1.27255 1.82062 43.1% - 0s
0 0 1.81888 0 37 1.27255 1.81888 42.9% - 0s
0 0 1.81824 0 38 1.27255 1.81824 42.9% - 0s
0 0 1.81501 0 38 1.27255 1.81501 42.6% - 0s
0 0 1.81495 0 38 1.27255 1.81495 42.6% - 0s
0 0 1.81358 0 37 1.27255 1.81358 42.5% - 0s
0 0 1.81351 0 37 1.27255 1.81351 42.5% - 0s
0 0 1.81351 0 37 1.27255 1.81351 42.5% - 0s
0 2 1.81351 0 37 1.27255 1.81351 42.5% - 0s
* 83 13 24 1.2870780 1.61122 25.2% 6.4 0s
* 85 13 23 1.3670714 1.61122 17.9% 6.3 0s
* 136 26 17 1.4221211 1.57627 10.8% 5.9 0s
* 165 7 22 1.4435744 1.46491 1.48% 5.7 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 12
MIR: 4
Flow cover: 20
Explored 174 nodes (1412 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.44357 1.42212 1.36707 ... 1.27255
Optimal solution found (tolerance 1.00e-02)
Best objective 1.443574445613e+00, best bound 1.443574445613e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2wsd6dg5.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2s9ckl90.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29098
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.036033e+00, 239 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03603 0 21 1.29098 2.03603 57.7% - 0s
0 0 1.78028 0 31 1.29098 1.78028 37.9% - 0s
0 0 1.75829 0 36 1.29098 1.75829 36.2% - 0s
0 0 1.75451 0 36 1.29098 1.75451 35.9% - 0s
0 0 1.75411 0 36 1.29098 1.75411 35.9% - 0s
0 0 1.75091 0 32 1.29098 1.75091 35.6% - 0s
0 0 1.74426 0 29 1.29098 1.74426 35.1% - 0s
0 0 1.74361 0 34 1.29098 1.74361 35.1% - 0s
0 0 1.74354 0 32 1.29098 1.74354 35.1% - 0s
0 0 1.74120 0 34 1.29098 1.74120 34.9% - 0s
0 0 1.73829 0 34 1.29098 1.73829 34.6% - 0s
0 0 1.73826 0 34 1.29098 1.73826 34.6% - 0s
0 0 1.73648 0 35 1.29098 1.73648 34.5% - 0s
0 0 1.73603 0 37 1.29098 1.73603 34.5% - 0s
0 0 1.73540 0 36 1.29098 1.73540 34.4% - 0s
0 0 1.72978 0 35 1.29098 1.72978 34.0% - 0s
0 0 1.72893 0 34 1.29098 1.72893 33.9% - 0s
0 0 1.72558 0 34 1.29098 1.72558 33.7% - 0s
0 0 1.72543 0 36 1.29098 1.72543 33.7% - 0s
0 0 1.72529 0 36 1.29098 1.72529 33.6% - 0s
0 0 1.72529 0 36 1.29098 1.72529 33.6% - 0s
0 2 1.72529 0 36 1.29098 1.72529 33.6% - 0s
* 245 34 18 1.3092769 1.48421 13.4% 6.6 0s
* 260 30 24 1.3264158 1.46641 10.6% 6.5 0s
* 278 13 24 1.3724740 1.44563 5.33% 6.4 0s
* 310 0 22 1.3813807 1.38284 0.11% 6.0 0s
Cutting planes:
Gomory: 8
Implied bound: 8
MIR: 7
Flow cover: 29
Explored 314 nodes (2375 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.38138 1.37247 1.32642 ... 1.29098
Optimal solution found (tolerance 1.00e-02)
Best objective 1.381380709432e+00, best bound 1.381380709432e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmdzmvk0r.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr1kmdsrj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2049
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.138824e+00, 284 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13882 0 24 1.20490 2.13882 77.5% - 0s
0 0 1.86360 0 35 1.20490 1.86360 54.7% - 0s
0 0 1.85614 0 37 1.20490 1.85614 54.0% - 0s
0 0 1.85203 0 42 1.20490 1.85203 53.7% - 0s
0 0 1.84638 0 43 1.20490 1.84638 53.2% - 0s
0 0 1.84605 0 43 1.20490 1.84605 53.2% - 0s
0 0 1.83572 0 41 1.20490 1.83572 52.4% - 0s
0 0 1.83405 0 41 1.20490 1.83405 52.2% - 0s
0 0 1.83390 0 39 1.20490 1.83390 52.2% - 0s
0 0 1.81916 0 45 1.20490 1.81916 51.0% - 0s
0 0 1.81903 0 45 1.20490 1.81903 51.0% - 0s
0 0 1.80131 0 44 1.20490 1.80131 49.5% - 0s
0 0 1.80043 0 44 1.20490 1.80043 49.4% - 0s
0 0 1.80034 0 44 1.20490 1.80034 49.4% - 0s
0 0 1.79950 0 43 1.20490 1.79950 49.3% - 0s
0 0 1.79950 0 43 1.20490 1.79950 49.3% - 0s
0 2 1.79950 0 43 1.20490 1.79950 49.3% - 0s
* 131 67 40 1.3229892 1.63304 23.4% 9.2 0s
* 190 82 30 1.3453034 1.60746 19.5% 8.4 0s
Cutting planes:
Gomory: 14
Cover: 4
Implied bound: 17
MIR: 5
Flow cover: 29
Inf proof: 3
Explored 580 nodes (4038 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.3453 1.32299 1.2049
Optimal solution found (tolerance 1.00e-02)
Best objective 1.345303425754e+00, best bound 1.345303425754e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpua00izee.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprv4n2mnq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22646
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.038310e+00, 298 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03831 0 27 1.22646 2.03831 66.2% - 0s
0 0 1.75369 0 37 1.22646 1.75369 43.0% - 0s
0 0 1.75369 0 37 1.22646 1.75369 43.0% - 0s
0 0 1.74026 0 31 1.22646 1.74026 41.9% - 0s
0 0 1.73726 0 38 1.22646 1.73726 41.6% - 0s
0 0 1.73678 0 41 1.22646 1.73678 41.6% - 0s
0 0 1.73215 0 43 1.22646 1.73215 41.2% - 0s
0 0 1.73200 0 44 1.22646 1.73200 41.2% - 0s
0 0 1.73022 0 47 1.22646 1.73022 41.1% - 0s
0 0 1.73011 0 47 1.22646 1.73011 41.1% - 0s
0 0 1.72771 0 49 1.22646 1.72771 40.9% - 0s
0 0 1.72167 0 49 1.22646 1.72167 40.4% - 0s
0 0 1.71885 0 47 1.22646 1.71885 40.1% - 0s
0 0 1.71634 0 49 1.22646 1.71634 39.9% - 0s
0 0 1.71632 0 49 1.22646 1.71632 39.9% - 0s
0 0 1.70975 0 50 1.22646 1.70975 39.4% - 0s
0 0 1.70768 0 52 1.22646 1.70768 39.2% - 0s
0 0 1.70745 0 52 1.22646 1.70745 39.2% - 0s
0 0 1.70570 0 52 1.22646 1.70570 39.1% - 0s
0 0 1.70283 0 52 1.22646 1.70283 38.8% - 0s
0 0 1.70211 0 52 1.22646 1.70211 38.8% - 0s
0 0 1.70198 0 52 1.22646 1.70198 38.8% - 0s
0 0 1.70197 0 52 1.22646 1.70197 38.8% - 0s
0 0 1.70192 0 52 1.22646 1.70192 38.8% - 0s
0 0 1.70192 0 52 1.22646 1.70192 38.8% - 0s
0 2 1.70192 0 52 1.22646 1.70192 38.8% - 0s
* 190 88 35 1.2374499 1.55968 26.0% 10.8 0s
* 596 161 47 1.2469041 1.41229 13.3% 6.7 0s
* 961 158 39 1.2670517 1.37634 8.63% 6.0 0s
* 1104 98 40 1.2674724 1.34999 6.51% 6.0 0s
* 1137 95 40 1.2709520 1.34999 6.22% 6.2 0s
* 1189 50 39 1.2734368 1.32959 4.41% 6.1 0s
Cutting planes:
Gomory: 10
Cover: 4
Implied bound: 15
MIR: 12
Flow cover: 37
Inf proof: 15
Explored 1256 nodes (8100 simplex iterations) in 0.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.27344 1.27095 1.26747 ... 1.22646
Optimal solution found (tolerance 1.00e-02)
Best objective 1.273436765087e+00, best bound 1.281517064399e+00, gap 0.6345%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0hn7usxa.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu0pmz2im.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16279
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 1.944224e+00, 329 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94422 0 30 1.16279 1.94422 67.2% - 0s
0 0 1.66704 0 35 1.16279 1.66704 43.4% - 0s
0 0 1.66704 0 35 1.16279 1.66704 43.4% - 0s
0 0 1.65077 0 39 1.16279 1.65077 42.0% - 0s
0 0 1.64858 0 43 1.16279 1.64858 41.8% - 0s
0 0 1.64498 0 44 1.16279 1.64498 41.5% - 0s
0 0 1.62954 0 45 1.16279 1.62954 40.1% - 0s
0 0 1.62954 0 44 1.16279 1.62954 40.1% - 0s
0 0 1.61779 0 44 1.16279 1.61779 39.1% - 0s
0 0 1.61704 0 44 1.16279 1.61704 39.1% - 0s
0 0 1.61647 0 41 1.16279 1.61647 39.0% - 0s
0 0 1.61587 0 40 1.16279 1.61587 39.0% - 0s
0 0 1.61587 0 40 1.16279 1.61587 39.0% - 0s
0 0 1.61136 0 45 1.16279 1.61136 38.6% - 0s
0 0 1.60948 0 43 1.16279 1.60948 38.4% - 0s
0 0 1.60893 0 45 1.16279 1.60893 38.4% - 0s
0 0 1.60718 0 45 1.16279 1.60718 38.2% - 0s
0 0 1.59535 0 42 1.16279 1.59535 37.2% - 0s
0 0 1.59513 0 43 1.16279 1.59513 37.2% - 0s
0 0 1.59327 0 38 1.16279 1.59327 37.0% - 0s
0 0 1.59327 0 38 1.16279 1.59327 37.0% - 0s
0 2 1.59327 0 38 1.16279 1.59327 37.0% - 0s
* 544 104 43 1.1767126 1.32225 12.4% 6.8 0s
* 589 68 40 1.1864638 1.29080 8.79% 6.9 0s
* 776 0 41 1.1933188 1.22115 2.33% 6.8 0s
Cutting planes:
Gomory: 11
Cover: 2
Implied bound: 10
MIR: 11
Flow cover: 25
Inf proof: 3
Network: 1
Explored 798 nodes (6093 simplex iterations) in 0.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.19332 1.18646 1.17671 1.16279
Optimal solution found (tolerance 1.00e-02)
Best objective 1.193318789599e+00, best bound 1.198865371850e+00, gap 0.4648%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprvmkv5kl.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphn0sa4s6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0598
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.122118e+00, 394 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12212 0 33 1.05980 2.12212 100% - 0s
0 0 1.81990 0 33 1.05980 1.81990 71.7% - 0s
0 0 1.81990 0 33 1.05980 1.81990 71.7% - 0s
0 0 1.78791 0 34 1.05980 1.78791 68.7% - 0s
0 0 1.75925 0 36 1.05980 1.75925 66.0% - 0s
0 0 1.75903 0 37 1.05980 1.75903 66.0% - 0s
0 0 1.75903 0 37 1.05980 1.75903 66.0% - 0s
0 0 1.71103 0 48 1.05980 1.71103 61.4% - 0s
0 0 1.71100 0 47 1.05980 1.71100 61.4% - 0s
0 0 1.70503 0 48 1.05980 1.70503 60.9% - 0s
0 0 1.70269 0 47 1.05980 1.70269 60.7% - 0s
0 0 1.70256 0 47 1.05980 1.70256 60.6% - 0s
0 0 1.70109 0 52 1.05980 1.70109 60.5% - 0s
0 0 1.70102 0 49 1.05980 1.70102 60.5% - 0s
0 0 1.70075 0 48 1.05980 1.70075 60.5% - 0s
0 0 1.70075 0 48 1.05980 1.70075 60.5% - 0s
0 2 1.70075 0 35 1.05980 1.70075 60.5% - 0s
* 938 256 40 1.1420406 1.39228 21.9% 7.4 0s
* 1444 135 37 1.1478796 1.26958 10.6% 7.5 0s
* 1471 116 37 1.1621886 1.26762 9.07% 7.5 0s
* 1518 41 37 1.1840425 1.24404 5.07% 7.5 0s
* 1540 31 39 1.1922191 1.24404 4.35% 7.4 0s
Cutting planes:
Gomory: 21
Cover: 15
Implied bound: 26
MIR: 6
Flow cover: 41
Inf proof: 24
Explored 1605 nodes (12471 simplex iterations) in 0.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.19222 1.18404 1.16219 ... 1.0598
Optimal solution found (tolerance 1.00e-02)
Best objective 1.192219052804e+00, best bound 1.192219052804e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1ksdwdlu.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2zpao0pj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10305
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.014232e+00, 380 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01423 0 35 1.10305 2.01423 82.6% - 0s
0 0 1.72064 0 35 1.10305 1.72064 56.0% - 0s
0 0 1.72064 0 35 1.10305 1.72064 56.0% - 0s
0 0 1.69495 0 44 1.10305 1.69495 53.7% - 0s
0 0 1.68246 0 50 1.10305 1.68246 52.5% - 0s
0 0 1.67918 0 57 1.10305 1.67918 52.2% - 0s
0 0 1.67896 0 56 1.10305 1.67896 52.2% - 0s
0 0 1.67896 0 56 1.10305 1.67896 52.2% - 0s
0 0 1.66424 0 55 1.10305 1.66424 50.9% - 0s
0 0 1.66278 0 55 1.10305 1.66278 50.7% - 0s
0 0 1.66278 0 55 1.10305 1.66278 50.7% - 0s
0 0 1.65026 0 50 1.10305 1.65026 49.6% - 0s
0 0 1.64614 0 54 1.10305 1.64614 49.2% - 0s
0 0 1.64576 0 54 1.10305 1.64576 49.2% - 0s
0 0 1.64291 0 55 1.10305 1.64291 48.9% - 0s
0 0 1.64075 0 52 1.10305 1.64075 48.7% - 0s
0 0 1.63932 0 55 1.10305 1.63932 48.6% - 0s
0 0 1.63862 0 57 1.10305 1.63862 48.6% - 0s
0 0 1.63862 0 57 1.10305 1.63862 48.6% - 0s
0 0 1.63568 0 58 1.10305 1.63568 48.3% - 0s
0 0 1.63543 0 58 1.10305 1.63543 48.3% - 0s
0 0 1.63444 0 63 1.10305 1.63444 48.2% - 0s
0 0 1.63444 0 63 1.10305 1.63444 48.2% - 0s
0 2 1.63444 0 63 1.10305 1.63444 48.2% - 0s
* 2075 50 45 1.1336669 1.19900 5.76% 6.3 1s
Cutting planes:
Gomory: 26
Cover: 13
Implied bound: 28
MIR: 18
Flow cover: 43
Flow path: 1
Inf proof: 37
Explored 2184 nodes (14500 simplex iterations) in 1.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.13367 1.10305
Optimal solution found (tolerance 1.00e-02)
Best objective 1.133666877357e+00, best bound 1.133666877357e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpydtdhlkf.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbf2mkrw6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03378
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.026720e+00, 433 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02672 0 39 1.03378 2.02672 96.0% - 0s
0 0 1.73409 0 41 1.03378 1.73409 67.7% - 0s
0 0 1.73409 0 40 1.03378 1.73409 67.7% - 0s
0 0 1.73030 0 48 1.03378 1.73030 67.4% - 0s
0 0 1.71426 0 50 1.03378 1.71426 65.8% - 0s
0 0 1.70993 0 50 1.03378 1.70993 65.4% - 0s
0 0 1.70989 0 51 1.03378 1.70989 65.4% - 0s
0 0 1.70191 0 53 1.03378 1.70191 64.6% - 0s
0 0 1.70174 0 56 1.03378 1.70174 64.6% - 0s
0 0 1.69423 0 58 1.03378 1.69423 63.9% - 0s
0 0 1.68529 0 58 1.03378 1.68529 63.0% - 0s
0 0 1.68333 0 59 1.03378 1.68333 62.8% - 0s
0 0 1.68332 0 60 1.03378 1.68332 62.8% - 0s
0 0 1.68128 0 59 1.03378 1.68128 62.6% - 0s
0 0 1.68017 0 62 1.03378 1.68017 62.5% - 0s
0 0 1.68005 0 62 1.03378 1.68005 62.5% - 0s
0 0 1.67639 0 58 1.03378 1.67639 62.2% - 0s
0 0 1.67365 0 57 1.03378 1.67365 61.9% - 0s
0 0 1.67298 0 62 1.03378 1.67298 61.8% - 0s
0 0 1.67271 0 58 1.03378 1.67271 61.8% - 0s
0 0 1.67270 0 62 1.03378 1.67270 61.8% - 0s
0 0 1.66914 0 61 1.03378 1.66914 61.5% - 0s
0 0 1.66905 0 61 1.03378 1.66905 61.5% - 0s
0 0 1.66870 0 65 1.03378 1.66870 61.4% - 0s
0 0 1.66870 0 65 1.03378 1.66870 61.4% - 0s
0 2 1.66870 0 65 1.03378 1.66870 61.4% - 0s
* 1371 279 44 1.1304961 1.36213 20.5% 8.0 1s
Cutting planes:
Gomory: 19
Cover: 5
Implied bound: 28
MIR: 21
Flow cover: 71
Inf proof: 30
Explored 2367 nodes (17213 simplex iterations) in 1.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.1305 1.03378
Optimal solution found (tolerance 1.00e-02)
Best objective 1.130496094361e+00, best bound 1.130496094361e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_6og67pq.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5czszm_z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04987
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.943282e+00, 462 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94328 0 43 1.04987 1.94328 85.1% - 0s
0 0 1.65284 0 46 1.04987 1.65284 57.4% - 0s
0 0 1.65284 0 46 1.04987 1.65284 57.4% - 0s
0 0 1.63588 0 56 1.04987 1.63588 55.8% - 0s
0 0 1.62069 0 60 1.04987 1.62069 54.4% - 0s
0 0 1.61894 0 62 1.04987 1.61894 54.2% - 0s
0 0 1.61877 0 61 1.04987 1.61877 54.2% - 0s
0 0 1.61100 0 57 1.04987 1.61100 53.4% - 0s
0 0 1.60796 0 58 1.04987 1.60796 53.2% - 0s
0 0 1.60794 0 61 1.04987 1.60794 53.2% - 0s
0 0 1.59573 0 62 1.04987 1.59573 52.0% - 0s
0 0 1.59573 0 62 1.04987 1.59573 52.0% - 0s
0 0 1.59211 0 68 1.04987 1.59211 51.6% - 0s
0 0 1.59141 0 65 1.04987 1.59141 51.6% - 0s
0 0 1.59089 0 68 1.04987 1.59089 51.5% - 0s
0 0 1.59085 0 68 1.04987 1.59085 51.5% - 0s
0 0 1.59056 0 67 1.04987 1.59056 51.5% - 0s
0 0 1.59056 0 67 1.04987 1.59056 51.5% - 0s
0 2 1.59056 0 67 1.04987 1.59056 51.5% - 0s
* 913 248 56 1.0771548 1.39379 29.4% 7.1 0s
* 1743 420 51 1.0785300 1.31757 22.2% 7.1 1s
Cutting planes:
Gomory: 13
Cover: 14
Implied bound: 29
MIR: 17
Flow cover: 66
Inf proof: 45
Explored 3198 nodes (22865 simplex iterations) in 2.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07853 1.07715 1.04987
Optimal solution found (tolerance 1.00e-02)
Best objective 1.078529967066e+00, best bound 1.086222740963e+00, gap 0.7133%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpql2fixcb.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbrj6ja4i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00832
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.863447e+00, 483 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86345 0 46 1.00832 1.86345 84.8% - 0s
0 0 1.57941 0 49 1.00832 1.57941 56.6% - 0s
0 0 1.55596 0 62 1.00832 1.55596 54.3% - 0s
0 0 1.53732 0 63 1.00832 1.53732 52.5% - 0s
0 0 1.53192 0 64 1.00832 1.53192 51.9% - 0s
0 0 1.51332 0 57 1.00832 1.51332 50.1% - 0s
0 0 1.51260 0 64 1.00832 1.51260 50.0% - 0s
0 0 1.51119 0 67 1.00832 1.51119 49.9% - 0s
0 0 1.51119 0 67 1.00832 1.51119 49.9% - 0s
0 0 1.50252 0 61 1.00832 1.50252 49.0% - 0s
0 0 1.49838 0 62 1.00832 1.49838 48.6% - 0s
0 0 1.49818 0 67 1.00832 1.49818 48.6% - 0s
0 0 1.49806 0 64 1.00832 1.49806 48.6% - 0s
0 0 1.49795 0 65 1.00832 1.49795 48.6% - 0s
0 0 1.49795 0 49 1.00832 1.49795 48.6% - 0s
0 2 1.49420 0 54 1.00832 1.49420 48.2% - 0s
* 1387 490 55 1.0221113 1.28716 25.9% 8.1 1s
* 2318 567 45 1.0255565 1.15220 12.3% 8.5 3s
H 2603 356 1.0269594 1.09067 6.20% 8.7 3s
* 2658 308 44 1.0280801 1.08991 6.01% 8.7 3s
Cutting planes:
Learned: 1
Gomory: 29
Cover: 5
Implied bound: 10
Projected implied bound: 4
Clique: 4
MIR: 8
Flow cover: 56
Flow path: 1
Inf proof: 5
Explored 2719 nodes (24523 simplex iterations) in 3.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.02808 1.02696 1.02556 ... 1.00832
Optimal solution found (tolerance 1.00e-02)
Best objective 1.028080050824e+00, best bound 1.028080050824e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ia56rbn.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_j8yje25.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.967178
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.777017e+00, 508 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77702 0 46 0.96718 1.77702 83.7% - 0s
0 0 1.50118 0 43 0.96718 1.50118 55.2% - 0s
0 0 1.49453 0 61 0.96718 1.49453 54.5% - 0s
0 0 1.49428 0 60 0.96718 1.49428 54.5% - 0s
0 0 1.49428 0 61 0.96718 1.49428 54.5% - 0s
0 0 1.48700 0 65 0.96718 1.48700 53.7% - 0s
0 0 1.48682 0 67 0.96718 1.48682 53.7% - 0s
0 0 1.48523 0 58 0.96718 1.48523 53.6% - 0s
0 0 1.48449 0 59 0.96718 1.48449 53.5% - 0s
0 0 1.48445 0 56 0.96718 1.48445 53.5% - 0s
0 0 1.47813 0 59 0.96718 1.47813 52.8% - 0s
0 0 1.47714 0 64 0.96718 1.47714 52.7% - 0s
0 0 1.47685 0 64 0.96718 1.47685 52.7% - 0s
0 0 1.47676 0 65 0.96718 1.47676 52.7% - 0s
0 0 1.47560 0 65 0.96718 1.47560 52.6% - 0s
0 0 1.47442 0 61 0.96718 1.47442 52.4% - 0s
0 0 1.47100 0 59 0.96718 1.47100 52.1% - 0s
0 0 1.47065 0 61 0.96718 1.47065 52.1% - 0s
0 0 1.47065 0 62 0.96718 1.47065 52.1% - 0s
0 0 1.47009 0 65 0.96718 1.47009 52.0% - 0s
0 0 1.46589 0 64 0.96718 1.46589 51.6% - 0s
0 0 1.46558 0 64 0.96718 1.46558 51.5% - 0s
0 0 1.46556 0 64 0.96718 1.46556 51.5% - 0s
0 0 1.46513 0 66 0.96718 1.46513 51.5% - 0s
0 0 1.46510 0 66 0.96718 1.46510 51.5% - 0s
0 0 1.46507 0 66 0.96718 1.46507 51.5% - 0s
0 0 1.46507 0 66 0.96718 1.46507 51.5% - 0s
0 2 1.46507 0 60 0.96718 1.46507 51.5% - 0s
* 1573 384 68 0.9672841 1.20177 24.2% 7.9 1s
* 3144 356 65 0.9675499 1.07488 11.1% 6.8 2s
* 3145 353 65 0.9712437 1.07488 10.7% 6.8 2s
Cutting planes:
Gomory: 17
Cover: 9
Implied bound: 35
MIR: 15
Flow cover: 67
Inf proof: 43
Explored 4098 nodes (27726 simplex iterations) in 3.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.971244 0.96755 0.967284 0.967178
Optimal solution found (tolerance 1.00e-02)
Best objective 9.712436935146e-01, best bound 9.712436935146e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplqa0j7hf.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy7rn63lt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.942932
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.711786e+00, 491 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71179 0 45 0.94293 1.71179 81.5% - 0s
0 0 1.68247 0 57 0.94293 1.68247 78.4% - 0s
0 0 1.52532 0 65 0.94293 1.52532 61.8% - 0s
0 0 1.52520 0 71 0.94293 1.52520 61.8% - 0s
0 0 1.50977 0 65 0.94293 1.50977 60.1% - 0s
0 0 1.50702 0 66 0.94293 1.50702 59.8% - 0s
0 0 1.50363 0 66 0.94293 1.50363 59.5% - 0s
0 0 1.50206 0 66 0.94293 1.50206 59.3% - 0s
0 0 1.49845 0 68 0.94293 1.49845 58.9% - 0s
0 0 1.49298 0 68 0.94293 1.49298 58.3% - 0s
0 0 1.49291 0 68 0.94293 1.49291 58.3% - 0s
0 0 1.49290 0 66 0.94293 1.49290 58.3% - 0s
0 0 1.49288 0 69 0.94293 1.49288 58.3% - 0s
0 0 1.49236 0 71 0.94293 1.49236 58.3% - 0s
0 0 1.49236 0 65 0.94293 1.49236 58.3% - 0s
0 2 1.49236 0 63 0.94293 1.49236 58.3% - 0s
* 1269 517 70 0.9535788 1.23657 29.7% 8.4 1s
Cutting planes:
Gomory: 28
Cover: 3
Implied bound: 15
Projected implied bound: 28
MIR: 13
Flow cover: 42
Inf proof: 16
Explored 2888 nodes (26966 simplex iterations) in 4.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.953579 0.942932
Optimal solution found (tolerance 1.00e-02)
Best objective 9.535787588240e-01, best bound 9.535787588240e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm2ogyhrs.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgg6wz9or.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.9218
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.640359e+00, 554 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64036 0 46 0.92180 1.64036 78.0% - 0s
0 0 1.61150 0 61 0.92180 1.61150 74.8% - 0s
0 0 1.61150 0 61 0.92180 1.61150 74.8% - 0s
0 0 1.58804 0 74 0.92180 1.58804 72.3% - 0s
0 0 1.57881 0 70 0.92180 1.57881 71.3% - 0s
0 0 1.56075 0 77 0.92180 1.56075 69.3% - 0s
0 0 1.56072 0 77 0.92180 1.56072 69.3% - 0s
0 0 1.55281 0 73 0.92180 1.55281 68.5% - 0s
0 0 1.55177 0 75 0.92180 1.55177 68.3% - 0s
0 0 1.54860 0 78 0.92180 1.54860 68.0% - 0s
0 0 1.54860 0 78 0.92180 1.54860 68.0% - 0s
0 0 1.54715 0 79 0.92180 1.54715 67.8% - 0s
0 0 1.54713 0 79 0.92180 1.54713 67.8% - 0s
0 0 1.54704 0 78 0.92180 1.54704 67.8% - 0s
0 0 1.54701 0 83 0.92180 1.54701 67.8% - 0s
0 0 1.54638 0 84 0.92180 1.54638 67.8% - 0s
0 0 1.54638 0 59 0.92180 1.54638 67.8% - 0s
0 2 1.54638 0 59 0.92180 1.54638 67.8% - 0s
* 1409 518 65 0.9224235 1.18377 28.3% 7.1 1s
* 2759 151 69 0.9237912 0.97619 5.67% 7.6 3s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 6
MIR: 3
Flow cover: 17
Inf proof: 3
Explored 2881 nodes (22835 simplex iterations) in 3.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.923791 0.922424 0.9218
Optimal solution found (tolerance 1.00e-02)
Best objective 9.237911776535e-01, best bound 9.237911776535e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_nh7v4ql.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz5dv7w37.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.901205
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.612510e+00, 728 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61251 0 50 0.90121 1.61251 78.9% - 0s
0 0 1.58383 0 65 0.90121 1.58383 75.7% - 0s
0 0 1.58383 0 64 0.90121 1.58383 75.7% - 0s
0 0 1.43666 0 64 0.90121 1.43666 59.4% - 0s
0 0 1.42476 0 66 0.90121 1.42476 58.1% - 0s
0 0 1.39028 0 79 0.90121 1.39028 54.3% - 0s
0 0 1.39017 0 75 0.90121 1.39017 54.3% - 0s
0 0 1.39017 0 76 0.90121 1.39017 54.3% - 0s
0 0 1.38012 0 76 0.90121 1.38012 53.1% - 0s
0 0 1.37991 0 75 0.90121 1.37991 53.1% - 0s
0 0 1.37986 0 79 0.90121 1.37986 53.1% - 0s
0 0 1.37915 0 76 0.90121 1.37915 53.0% - 0s
0 0 1.37915 0 64 0.90121 1.37915 53.0% - 0s
0 2 1.37915 0 64 0.90121 1.37915 53.0% - 0s
* 552 334 84 0.9041154 1.23215 36.3% 10.7 0s
Cutting planes:
Gomory: 46
Cover: 4
Implied bound: 8
Projected implied bound: 29
MIR: 12
Flow cover: 49
Flow path: 1
Inf proof: 21
Explored 2742 nodes (26988 simplex iterations) in 4.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.904115 0.901205
Optimal solution found (tolerance 1.00e-02)
Best objective 9.041154227943e-01, best bound 9.131121517918e-01, gap 0.9951%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6u2iswrt.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpot6re4r6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.912532
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.669771e+00, 665 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66977 0 53 0.91253 1.66977 83.0% - 0s
0 0 1.49208 0 67 0.91253 1.49208 63.5% - 0s
0 0 1.48832 0 64 0.91253 1.48832 63.1% - 0s
0 0 1.48832 0 65 0.91253 1.48832 63.1% - 0s
0 0 1.47342 0 74 0.91253 1.47342 61.5% - 0s
0 0 1.46930 0 80 0.91253 1.46930 61.0% - 0s
0 0 1.46862 0 78 0.91253 1.46862 60.9% - 0s
0 0 1.46862 0 78 0.91253 1.46862 60.9% - 0s
0 0 1.45398 0 91 0.91253 1.45398 59.3% - 0s
0 0 1.44634 0 80 0.91253 1.44634 58.5% - 0s
0 0 1.44632 0 85 0.91253 1.44632 58.5% - 0s
0 0 1.43259 0 89 0.91253 1.43259 57.0% - 0s
0 0 1.42800 0 89 0.91253 1.42800 56.5% - 0s
0 0 1.42800 0 89 0.91253 1.42800 56.5% - 0s
0 0 1.42744 0 90 0.91253 1.42744 56.4% - 0s
0 0 1.42743 0 92 0.91253 1.42743 56.4% - 0s
0 0 1.42743 0 67 0.91253 1.42743 56.4% - 0s
0 2 1.42743 0 66 0.91253 1.42743 56.4% - 0s
1927 676 0.99334 33 42 0.91253 1.20617 32.2% 11.6 5s
* 2009 651 76 0.9126377 1.18003 29.3% 11.6 5s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 8
Implied bound: 9
Projected implied bound: 32
Clique: 1
MIR: 24
Flow cover: 84
Flow path: 3
Inf proof: 30
Mod-K: 1
Explored 5192 nodes (64109 simplex iterations) in 9.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.912638 0.912532
Optimal solution found (tolerance 1.00e-02)
Best objective 9.126377370657e-01, best bound 9.156214703260e-01, gap 0.3269%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqf9jieh6.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg62tpg00.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87836
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.605369e+00, 717 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60537 0 54 0.87836 1.60537 82.8% - 0s
0 0 1.43577 0 66 0.87836 1.43577 63.5% - 0s
0 0 1.43577 0 70 0.87836 1.43577 63.5% - 0s
0 0 1.41360 0 83 0.87836 1.41360 60.9% - 0s
0 0 1.41150 0 80 0.87836 1.41150 60.7% - 0s
0 0 1.41136 0 85 0.87836 1.41136 60.7% - 0s
0 0 1.39585 0 70 0.87836 1.39585 58.9% - 0s
0 0 1.38696 0 82 0.87836 1.38696 57.9% - 0s
0 0 1.38372 0 83 0.87836 1.38372 57.5% - 0s
0 0 1.38344 0 82 0.87836 1.38344 57.5% - 0s
0 0 1.38344 0 83 0.87836 1.38344 57.5% - 0s
0 0 1.37792 0 86 0.87836 1.37792 56.9% - 0s
0 0 1.37772 0 88 0.87836 1.37772 56.9% - 0s
0 0 1.37772 0 88 0.87836 1.37772 56.9% - 0s
0 0 1.37506 0 91 0.87836 1.37506 56.5% - 0s
0 0 1.37501 0 92 0.87836 1.37501 56.5% - 0s
0 0 1.37481 0 92 0.87836 1.37481 56.5% - 0s
0 0 1.37481 0 76 0.87836 1.37481 56.5% - 0s
0 2 1.37481 0 74 0.87836 1.37481 56.5% - 0s
1592 541 1.09262 18 79 0.87836 1.15694 31.7% 12.9 5s
Cutting planes:
Learned: 1
Gomory: 32
Cover: 3
Implied bound: 24
Projected implied bound: 30
Clique: 2
MIR: 25
Flow cover: 70
Flow path: 2
Inf proof: 43
Explored 3987 nodes (49454 simplex iterations) in 8.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.87836
Optimal solution found (tolerance 1.00e-02)
Best objective 8.783602663768e-01, best bound 8.868962210292e-01, gap 0.9718%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1jiz90qh.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgqr7nii1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.846848
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.543587e+00, 733 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54359 0 55 0.84685 1.54359 82.3% - 0s
0 0 1.52585 0 72 0.84685 1.52585 80.2% - 0s
0 0 1.52585 0 71 0.84685 1.52585 80.2% - 0s
0 0 1.50392 0 86 0.84685 1.50392 77.6% - 0s
0 0 1.50232 0 87 0.84685 1.50232 77.4% - 0s
0 0 1.47622 0 87 0.84685 1.47622 74.3% - 0s
0 0 1.47554 0 91 0.84685 1.47554 74.2% - 0s
0 0 1.47194 0 94 0.84685 1.47194 73.8% - 0s
0 0 1.47142 0 94 0.84685 1.47142 73.8% - 0s
0 0 1.46553 0 96 0.84685 1.46553 73.1% - 0s
0 0 1.46527 0 94 0.84685 1.46527 73.0% - 0s
0 0 1.45894 0 102 0.84685 1.45894 72.3% - 0s
0 0 1.45888 0 102 0.84685 1.45888 72.3% - 0s
0 0 1.45811 0 101 0.84685 1.45811 72.2% - 0s
0 0 1.45808 0 103 0.84685 1.45808 72.2% - 0s
0 0 1.45808 0 102 0.84685 1.45808 72.2% - 0s
0 0 1.45808 0 102 0.84685 1.45808 72.2% - 0s
0 2 1.45808 0 86 0.84685 1.45808 72.2% - 0s
4498 579 0.87505 59 20 0.84685 0.95639 12.9% 8.6 5s
* 5391 309 61 0.8472539 0.90228 6.49% 8.3 6s
* 5762 166 72 0.8475915 0.87559 3.30% 8.1 6s
Cutting planes:
Learned: 1
Explored 6056 nodes (50024 simplex iterations) in 6.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.847591 0.847254 0.846848
Optimal solution found (tolerance 1.00e-02)
Best objective 8.475914732438e-01, best bound 8.508838661171e-01, gap 0.3884%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0c3a7e_a.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq91bd78a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.836529
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.555572e+00, 690 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55557 0 57 0.83653 1.55557 86.0% - 0s
0 0 1.54257 0 72 0.83653 1.54257 84.4% - 0s
0 0 1.54257 0 72 0.83653 1.54257 84.4% - 0s
0 0 1.43977 0 93 0.83653 1.43977 72.1% - 0s
0 0 1.43845 0 95 0.83653 1.43845 72.0% - 0s
0 0 1.43791 0 95 0.83653 1.43791 71.9% - 0s
0 0 1.43607 0 97 0.83653 1.43607 71.7% - 0s
0 0 1.40958 0 97 0.83653 1.40958 68.5% - 0s
0 0 1.40745 0 97 0.83653 1.40745 68.2% - 0s
0 0 1.39890 0 97 0.83653 1.39890 67.2% - 0s
0 0 1.39844 0 105 0.83653 1.39844 67.2% - 0s
0 0 1.39489 0 99 0.83653 1.39489 66.7% - 0s
0 0 1.39488 0 100 0.83653 1.39488 66.7% - 0s
0 0 1.39473 0 98 0.83653 1.39473 66.7% - 0s
0 0 1.39459 0 98 0.83653 1.39459 66.7% - 0s
0 0 1.39459 0 99 0.83653 1.39459 66.7% - 0s
0 0 1.39459 0 77 0.83653 1.39459 66.7% - 0s
0 2 1.39459 0 76 0.83653 1.39459 66.7% - 0s
1801 677 1.00401 27 92 0.83653 1.17883 40.9% 13.1 5s
4386 567 0.90816 29 68 0.83653 0.99828 19.3% 14.7 10s
* 4808 503 63 0.8391536 0.97475 16.2% 14.7 10s
H 5817 333 0.8421089 0.91163 8.26% 14.6 12s
* 7040 16 63 0.8422147 0.85921 2.02% 13.9 14s
Cutting planes:
Gomory: 29
Cover: 7
Implied bound: 32
Projected implied bound: 36
Clique: 1
MIR: 24
Flow cover: 86
Flow path: 2
Inf proof: 93
Explored 7241 nodes (100841 simplex iterations) in 14.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.842215 0.842109 0.839154 0.836529
Optimal solution found (tolerance 1.00e-02)
Best objective 8.422147192696e-01, best bound 8.427561393081e-01, gap 0.0643%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfpncgbra.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphrkv0_ki.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844071
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.584867e+00, 760 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58487 0 61 0.84407 1.58487 87.8% - 0s
0 0 1.56304 0 79 0.84407 1.56304 85.2% - 0s
0 0 1.56301 0 78 0.84407 1.56301 85.2% - 0s
0 0 1.47752 0 99 0.84407 1.47752 75.0% - 0s
0 0 1.47597 0 103 0.84407 1.47597 74.9% - 0s
0 0 1.45087 0 117 0.84407 1.45087 71.9% - 0s
0 0 1.44764 0 118 0.84407 1.44764 71.5% - 0s
0 0 1.42692 0 115 0.84407 1.42692 69.1% - 0s
0 0 1.42687 0 115 0.84407 1.42687 69.0% - 0s
0 0 1.42533 0 119 0.84407 1.42533 68.9% - 0s
0 0 1.42511 0 120 0.84407 1.42511 68.8% - 0s
0 0 1.42474 0 115 0.84407 1.42474 68.8% - 0s
0 0 1.42474 0 120 0.84407 1.42474 68.8% - 0s
0 0 1.42474 0 121 0.84407 1.42474 68.8% - 0s
0 0 1.42474 0 92 0.84407 1.42474 68.8% - 0s
0 2 1.42474 0 89 0.84407 1.42474 68.8% - 0s
H 1190 545 0.8465800 1.27913 51.1% 18.8 5s
H 1967 629 0.8469823 1.26513 49.4% 19.2 7s
H 2511 795 0.8503003 1.24340 46.2% 19.0 8s
H 2515 797 0.8503003 1.24340 46.2% 19.1 8s
3187 1057 cutoff 35 0.85030 1.20022 41.2% 19.3 10s
5608 1634 infeasible 35 0.85030 1.13361 33.3% 18.7 15s
H 7292 1453 0.8503003 1.04904 23.4% 18.4 18s
8162 1147 infeasible 44 0.85030 1.00242 17.9% 18.1 20s
Cutting planes:
Gomory: 47
Cover: 6
Implied bound: 23
Projected implied bound: 29
Clique: 1
MIR: 40
Flow cover: 123
Flow path: 3
Inf proof: 97
Explored 10795 nodes (178260 simplex iterations) in 23.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.8503 0.8503 0.8503 ... 0.844071
Optimal solution found (tolerance 1.00e-02)
Best objective 8.503003011361e-01, best bound 8.503003011361e-01, gap 0.0000%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphwd0js6d.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn36u5niu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844298
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.558633e+00, 743 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55863 0 65 0.84430 1.55863 84.6% - 0s
0 0 1.53435 0 85 0.84430 1.53435 81.7% - 0s
0 0 1.53424 0 85 0.84430 1.53424 81.7% - 0s
0 0 1.45454 0 88 0.84430 1.45454 72.3% - 0s
0 0 1.44769 0 96 0.84430 1.44769 71.5% - 0s
0 0 1.42750 0 98 0.84430 1.42750 69.1% - 0s
0 0 1.42727 0 99 0.84430 1.42727 69.0% - 0s
0 0 1.42073 0 92 0.84430 1.42073 68.3% - 0s
0 0 1.42070 0 89 0.84430 1.42070 68.3% - 0s
0 0 1.42012 0 107 0.84430 1.42012 68.2% - 0s
0 0 1.42012 0 107 0.84430 1.42012 68.2% - 0s
0 0 1.42000 0 104 0.84430 1.42000 68.2% - 0s
0 0 1.42000 0 85 0.84430 1.42000 68.2% - 0s
0 2 1.42000 0 84 0.84430 1.42000 68.2% - 0s
* 323 215 122 0.8456445 1.34697 59.3% 11.1 0s
1086 548 0.91497 46 49 0.84564 1.31325 55.3% 17.3 5s
4016 1374 1.00028 19 69 0.84564 1.17002 38.4% 15.4 10s
H 4280 1429 0.8456445 1.15756 36.9% 15.4 11s
H 4282 1428 0.8497245 1.15756 36.2% 15.4 11s
* 6276 1363 72 0.8522774 1.07423 26.0% 14.7 14s
6796 1289 cutoff 34 0.85228 1.04661 22.8% 14.7 15s
Cutting planes:
Learned: 1
Gomory: 35
Cover: 5
Implied bound: 19
Projected implied bound: 36
MIR: 18
Flow cover: 101
Flow path: 2
Inf proof: 75
Explored 9766 nodes (132957 simplex iterations) in 19.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.852277 0.849724 0.845644 ... 0.844298
Optimal solution found (tolerance 1.00e-02)
Best objective 8.522774390003e-01, best bound 8.577463965920e-01, gap 0.6417%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsvl6l44q.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk6_g2dyu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.84836
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.526363e+00, 735 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52636 0 67 0.84836 1.52636 79.9% - 0s
0 0 1.50889 0 88 0.84836 1.50889 77.9% - 0s
0 0 1.50887 0 88 0.84836 1.50887 77.9% - 0s
0 0 1.44609 0 104 0.84836 1.44609 70.5% - 0s
0 0 1.44399 0 111 0.84836 1.44399 70.2% - 0s
0 0 1.42276 0 104 0.84836 1.42276 67.7% - 0s
0 0 1.42134 0 113 0.84836 1.42134 67.5% - 0s
0 0 1.40882 0 115 0.84836 1.40882 66.1% - 0s
0 0 1.40868 0 114 0.84836 1.40868 66.0% - 0s
0 0 1.40365 0 117 0.84836 1.40365 65.5% - 0s
0 0 1.40328 0 117 0.84836 1.40328 65.4% - 0s
0 0 1.40143 0 122 0.84836 1.40143 65.2% - 0s
0 0 1.40141 0 121 0.84836 1.40141 65.2% - 0s
0 0 1.40082 0 125 0.84836 1.40082 65.1% - 0s
0 0 1.40082 0 126 0.84836 1.40082 65.1% - 0s
0 0 1.40038 0 125 0.84836 1.40038 65.1% - 0s
0 0 1.40038 0 126 0.84836 1.40038 65.1% - 0s
0 0 1.40038 0 126 0.84836 1.40038 65.1% - 0s
0 0 1.40038 0 126 0.84836 1.40038 65.1% - 0s
0 2 1.40038 0 103 0.84836 1.40038 65.1% - 0s
1107 537 1.24868 24 105 0.84836 1.28088 51.0% 18.9 5s
* 1359 596 133 0.8486399 1.27816 50.6% 17.5 5s
H 2377 736 0.8488524 1.19301 40.5% 16.4 7s
5001 1482 infeasible 41 0.84885 1.10525 30.2% 13.5 10s
H 5036 1485 0.8488524 1.10525 30.2% 13.5 10s
8372 1217 0.98026 55 55 0.84885 0.98026 15.5% 12.2 15s
*11840 215 119 0.8489220 0.87863 3.50% 11.5 19s
11894 144 cutoff 61 0.84892 0.87265 2.79% 11.5 20s
Cutting planes:
Learned: 1
Gomory: 22
Cover: 6
Implied bound: 26
Projected implied bound: 23
MIR: 21
Flow cover: 89
Flow path: 2
Inf proof: 97
Explored 12285 nodes (140826 simplex iterations) in 20.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.848922 0.848852 0.848852 ... 0.84836
Optimal solution found (tolerance 1.00e-02)
Best objective 8.489220159522e-01, best bound 8.540860178824e-01, gap 0.6083%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcgf9sr4j.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxisvyqqw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.83278
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.523657e+00, 782 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52366 0 67 0.83278 1.52366 83.0% - 0s
0 0 1.49681 0 92 0.83278 1.49681 79.7% - 0s
0 0 1.49680 0 92 0.83278 1.49680 79.7% - 0s
0 0 1.42911 0 100 0.83278 1.42911 71.6% - 0s
0 0 1.42762 0 107 0.83278 1.42762 71.4% - 0s
0 0 1.41999 0 94 0.83278 1.41999 70.5% - 0s
0 0 1.41738 0 99 0.83278 1.41738 70.2% - 0s
0 0 1.41312 0 106 0.83278 1.41312 69.7% - 0s
0 0 1.41305 0 105 0.83278 1.41305 69.7% - 0s
0 0 1.41244 0 108 0.83278 1.41244 69.6% - 0s
0 0 1.41243 0 108 0.83278 1.41243 69.6% - 0s
0 0 1.40345 0 109 0.83278 1.40345 68.5% - 0s
0 0 1.40255 0 109 0.83278 1.40255 68.4% - 0s
0 0 1.40120 0 111 0.83278 1.40120 68.3% - 0s
0 0 1.40094 0 113 0.83278 1.40094 68.2% - 0s
0 0 1.40085 0 115 0.83278 1.40085 68.2% - 0s
0 0 1.40073 0 114 0.83278 1.40073 68.2% - 0s
0 0 1.40070 0 113 0.83278 1.40070 68.2% - 0s
0 0 1.40070 0 92 0.83278 1.40070 68.2% - 0s
0 2 1.40070 0 88 0.83278 1.40070 68.2% - 0s
784 502 1.28285 20 109 0.83278 1.31001 57.3% 17.4 5s
3299 982 0.88428 72 40 0.83278 1.10904 33.2% 16.0 10s
H 4268 1257 0.8386774 1.08517 29.4% 15.7 11s
5819 1265 infeasible 49 0.83868 1.01655 21.2% 15.4 15s
8915 890 0.89286 58 32 0.83868 0.93054 11.0% 14.2 20s
Cutting planes:
Gomory: 33
Cover: 6
Implied bound: 30
Projected implied bound: 31
Clique: 1
MIR: 25
Flow cover: 112
Flow path: 5
Inf proof: 108
Explored 11296 nodes (151606 simplex iterations) in 23.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.838677 0.83278
Optimal solution found (tolerance 1.00e-02)
Best objective 8.386774178104e-01, best bound 8.434139181352e-01, gap 0.5648%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo1ui6njp.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxl2s4bk4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.821947
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.496025e+00, 834 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49603 0 69 0.82195 1.49603 82.0% - 0s
0 0 1.47883 0 87 0.82195 1.47883 79.9% - 0s
0 0 1.47874 0 87 0.82195 1.47874 79.9% - 0s
0 0 1.40066 0 99 0.82195 1.40066 70.4% - 0s
0 0 1.39776 0 102 0.82195 1.39776 70.1% - 0s
0 0 1.38013 0 114 0.82195 1.38013 67.9% - 0s
0 0 1.37417 0 119 0.82195 1.37417 67.2% - 0s
0 0 1.36543 0 117 0.82195 1.36543 66.1% - 0s
0 0 1.36393 0 122 0.82195 1.36393 65.9% - 0s
0 0 1.36039 0 123 0.82195 1.36039 65.5% - 0s
0 0 1.36039 0 122 0.82195 1.36039 65.5% - 0s
0 0 1.35987 0 120 0.82195 1.35987 65.4% - 0s
0 0 1.35983 0 120 0.82195 1.35983 65.4% - 0s
0 0 1.35764 0 126 0.82195 1.35764 65.2% - 0s
0 0 1.35760 0 127 0.82195 1.35760 65.2% - 0s
0 0 1.35759 0 126 0.82195 1.35759 65.2% - 0s
0 0 1.35759 0 88 0.82195 1.35759 65.2% - 0s
0 2 1.35759 0 88 0.82195 1.35759 65.2% - 0s
794 531 1.25294 10 114 0.82195 1.25294 52.4% 23.1 5s
2202 625 1.07181 39 76 0.82195 1.12887 37.3% 22.7 10s
* 3234 883 104 0.8230516 1.09157 32.6% 19.9 12s
* 5242 1232 75 0.8278364 1.00078 20.9% 16.8 14s
5311 1268 infeasible 51 0.82784 0.99780 20.5% 16.7 15s
H 5316 1232 0.8318642 0.99687 19.8% 16.7 15s
H 5317 1225 0.8342332 0.99687 19.5% 16.7 15s
8316 484 0.88352 44 48 0.83423 0.88386 5.95% 15.5 20s
Cutting planes:
Gomory: 32
Cover: 5
Implied bound: 33
Projected implied bound: 39
MIR: 28
Flow cover: 116
Flow path: 3
Inf proof: 70
Explored 9317 nodes (144289 simplex iterations) in 21.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.834233 0.831864 0.827836 ... 0.821947
Optimal solution found (tolerance 1.00e-02)
Best objective 8.342332107250e-01, best bound 8.355812481610e-01, gap 0.1616%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqmd0d5f3.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo1wigsi0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.837763
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.485602e+00, 923 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48560 0 69 0.83776 1.48560 77.3% - 0s
0 0 1.46992 0 89 0.83776 1.46992 75.5% - 0s
0 0 1.46983 0 88 0.83776 1.46983 75.4% - 0s
0 0 1.42093 0 94 0.83776 1.42093 69.6% - 0s
0 0 1.41517 0 113 0.83776 1.41517 68.9% - 0s
0 0 1.39353 0 115 0.83776 1.39353 66.3% - 0s
0 0 1.39311 0 113 0.83776 1.39311 66.3% - 0s
0 0 1.37785 0 125 0.83776 1.37785 64.5% - 0s
0 0 1.37608 0 125 0.83776 1.37608 64.3% - 0s
0 0 1.37503 0 122 0.83776 1.37503 64.1% - 0s
0 0 1.37386 0 128 0.83776 1.37386 64.0% - 0s
0 0 1.37348 0 128 0.83776 1.37348 63.9% - 0s
0 0 1.37345 0 130 0.83776 1.37345 63.9% - 0s
0 0 1.37344 0 129 0.83776 1.37344 63.9% - 0s
0 0 1.37344 0 129 0.83776 1.37344 63.9% - 0s
0 0 1.37289 0 126 0.83776 1.37289 63.9% - 0s
0 0 1.37289 0 127 0.83776 1.37289 63.9% - 0s
0 0 1.37288 0 127 0.83776 1.37288 63.9% - 0s
0 0 1.37288 0 104 0.83776 1.37288 63.9% - 0s
0 2 1.37288 0 101 0.83776 1.37288 63.9% - 0s
779 466 infeasible 11 0.83776 1.25852 50.2% 21.8 5s
* 1193 488 137 0.8398279 1.25852 49.9% 21.8 6s
3066 529 0.92792 62 68 0.83983 1.08867 29.6% 17.2 10s
6208 1285 cutoff 50 0.83983 0.97668 16.3% 14.9 15s
* 7549 983 103 0.8401964 0.93509 11.3% 15.3 17s
9009 437 infeasible 57 0.84020 0.87510 4.15% 15.2 20s
* 9457 163 104 0.8420992 0.85350 1.35% 15.0 21s
Cutting planes:
Gomory: 30
Cover: 5
Implied bound: 36
Projected implied bound: 30
MIR: 26
Flow cover: 116
Flow path: 1
Inf proof: 99
Explored 9800 nodes (146330 simplex iterations) in 21.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.842099 0.840196 0.839828 0.837763
Optimal solution found (tolerance 1.00e-02)
Best objective 8.420992454527e-01, best bound 8.476132545376e-01, gap 0.6548%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6_kjv784.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuftauo2n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.834405
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.460188e+00, 967 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46019 0 73 0.83441 1.46019 75.0% - 0s
0 0 1.44281 0 96 0.83441 1.44281 72.9% - 0s
0 0 1.44272 0 96 0.83441 1.44272 72.9% - 0s
0 0 1.38951 0 128 0.83441 1.38951 66.5% - 0s
0 0 1.38307 0 121 0.83441 1.38307 65.8% - 0s
0 0 1.36219 0 136 0.83441 1.36219 63.3% - 0s
0 0 1.36208 0 129 0.83441 1.36208 63.2% - 0s
0 0 1.36092 0 124 0.83441 1.36092 63.1% - 0s
0 0 1.36091 0 123 0.83441 1.36091 63.1% - 0s
0 0 1.36046 0 126 0.83441 1.36046 63.0% - 0s
0 0 1.36046 0 126 0.83441 1.36046 63.0% - 0s
0 0 1.36044 0 127 0.83441 1.36044 63.0% - 0s
0 0 1.36044 0 96 0.83441 1.36044 63.0% - 0s
0 2 1.36044 0 90 0.83441 1.36044 63.0% - 0s
876 600 1.16788 26 86 0.83441 1.27483 52.8% 17.7 5s
2779 892 0.93586 65 61 0.83441 1.20232 44.1% 18.9 10s
H 3829 1015 0.8344053 1.11424 33.5% 16.9 11s
5755 927 infeasible 45 0.83441 1.01312 21.4% 16.2 15s
8520 590 0.87743 59 43 0.83441 0.91599 9.78% 15.5 20s
* 9344 390 89 0.8347156 0.88762 6.34% 15.4 21s
Cutting planes:
Gomory: 35
Cover: 4
Implied bound: 21
Projected implied bound: 30
Clique: 1
MIR: 21
Flow cover: 88
Flow path: 1
Inf proof: 118
Explored 10516 nodes (156077 simplex iterations) in 23.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.834716 0.834405 0.834405
Optimal solution found (tolerance 1.00e-02)
Best objective 8.347155832619e-01, best bound 8.358641194770e-01, gap 0.1376%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7d9mxg01.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp86yjjl87.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.834432
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.440389e+00, 991 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44039 0 73 0.83443 1.44039 72.6% - 0s
0 0 1.42495 0 96 0.83443 1.42495 70.8% - 0s
0 0 1.42487 0 95 0.83443 1.42487 70.8% - 0s
0 0 1.38187 0 126 0.83443 1.38187 65.6% - 0s
0 0 1.38049 0 129 0.83443 1.38049 65.4% - 0s
0 0 1.36724 0 117 0.83443 1.36724 63.9% - 0s
0 0 1.36576 0 117 0.83443 1.36576 63.7% - 0s
0 0 1.34746 0 137 0.83443 1.34746 61.5% - 0s
0 0 1.34607 0 143 0.83443 1.34607 61.3% - 0s
0 0 1.34481 0 135 0.83443 1.34481 61.2% - 0s
0 0 1.34402 0 136 0.83443 1.34402 61.1% - 0s
0 0 1.34365 0 139 0.83443 1.34365 61.0% - 0s
0 0 1.34359 0 138 0.83443 1.34359 61.0% - 0s
0 0 1.34357 0 137 0.83443 1.34357 61.0% - 0s
0 0 1.34357 0 99 0.83443 1.34357 61.0% - 0s
0 2 1.34357 0 98 0.83443 1.34357 61.0% - 0s
766 485 1.25961 16 102 0.83443 1.25961 51.0% 21.9 5s
2876 805 0.85032 48 69 0.83443 1.10649 32.6% 18.5 10s
* 3698 1064 138 0.8368709 1.08349 29.5% 17.5 11s
* 5231 1450 133 0.8395046 1.05849 26.1% 16.4 13s
6030 1513 infeasible 49 0.83950 1.03672 23.5% 16.2 15s
H 6822 1571 0.8395046 0.99842 18.9% 16.0 16s
8397 1290 0.89934 82 44 0.83950 0.95358 13.6% 15.7 20s
11147 1045 0.89989 63 44 0.83950 0.89989 7.19% 14.8 25s
*13202 312 117 0.8408730 0.85895 2.15% 14.7 28s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 4
Implied bound: 29
Projected implied bound: 37
Clique: 1
MIR: 39
Flow cover: 106
Flow path: 4
Inf proof: 114
Explored 13570 nodes (199992 simplex iterations) in 29.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.840873 0.839505 0.839505 ... 0.834432
Optimal solution found (tolerance 1.00e-02)
Best objective 8.408729926419e-01, best bound 8.484983685889e-01, gap 0.9068%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvr1x13rq.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp42duwvs8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.818211
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.401441e+00, 1062 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40144 0 74 0.81821 1.40144 71.3% - 0s
0 0 1.38697 0 102 0.81821 1.38697 69.5% - 0s
0 0 1.38696 0 101 0.81821 1.38696 69.5% - 0s
0 0 1.35939 0 126 0.81821 1.35939 66.1% - 0s
0 0 1.35832 0 129 0.81821 1.35832 66.0% - 0s
0 0 1.34366 0 112 0.81821 1.34366 64.2% - 0s
0 0 1.33356 0 121 0.81821 1.33356 63.0% - 0s
0 0 1.32943 0 134 0.81821 1.32943 62.5% - 0s
0 0 1.32892 0 135 0.81821 1.32892 62.4% - 0s
0 0 1.32763 0 143 0.81821 1.32763 62.3% - 0s
0 0 1.32749 0 145 0.81821 1.32749 62.2% - 0s
0 0 1.32740 0 145 0.81821 1.32740 62.2% - 0s
0 0 1.32739 0 144 0.81821 1.32739 62.2% - 0s
0 0 1.32739 0 108 0.81821 1.32739 62.2% - 0s
0 2 1.32739 0 107 0.81821 1.32739 62.2% - 0s
787 459 1.16892 10 113 0.81821 1.23302 50.7% 19.5 5s
2786 870 0.84606 60 72 0.81821 1.08569 32.7% 18.8 10s
5776 1535 0.92024 43 87 0.81821 1.00686 23.1% 16.4 15s
8698 1494 infeasible 50 0.81821 0.91944 12.4% 16.1 20s
11338 1532 0.88000 53 45 0.81821 0.88648 8.34% 15.6 25s
13938 1086 infeasible 58 0.81821 0.85140 4.06% 15.2 30s
Cutting planes:
Learned: 1
Gomory: 39
Cover: 4
Implied bound: 26
Projected implied bound: 26
MIR: 48
Flow cover: 123
Flow path: 2
Inf proof: 171
Explored 15481 nodes (231023 simplex iterations) in 32.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.818211
Optimal solution found (tolerance 1.00e-02)
Best objective 8.182108038940e-01, best bound 8.243514022485e-01, gap 0.7505%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprg3_1_ww.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptn_8ivvz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.803299
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.430025e+00, 982 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43002 0 77 0.80330 1.43002 78.0% - 0s
0 0 1.41530 0 100 0.80330 1.41530 76.2% - 0s
0 0 1.41263 0 98 0.80330 1.41263 75.9% - 0s
0 0 1.36343 0 136 0.80330 1.36343 69.7% - 0s
0 0 1.36230 0 137 0.80330 1.36230 69.6% - 0s
0 0 1.35253 0 117 0.80330 1.35253 68.4% - 0s
0 0 1.35252 0 115 0.80330 1.35252 68.4% - 0s
0 0 1.33972 0 125 0.80330 1.33972 66.8% - 0s
0 0 1.33945 0 131 0.80330 1.33945 66.7% - 0s
0 0 1.33550 0 137 0.80330 1.33550 66.3% - 0s
0 0 1.33534 0 136 0.80330 1.33534 66.2% - 0s
0 0 1.33007 0 138 0.80330 1.33007 65.6% - 0s
0 0 1.32973 0 140 0.80330 1.32973 65.5% - 0s
0 0 1.32887 0 139 0.80330 1.32887 65.4% - 0s
0 0 1.32887 0 139 0.80330 1.32887 65.4% - 0s
0 0 1.32707 0 147 0.80330 1.32707 65.2% - 0s
0 0 1.32698 0 147 0.80330 1.32698 65.2% - 0s
0 0 1.32693 0 146 0.80330 1.32693 65.2% - 0s
0 0 1.32692 0 146 0.80330 1.32692 65.2% - 0s
0 0 1.32686 0 145 0.80330 1.32686 65.2% - 0s
0 0 1.32686 0 110 0.80330 1.32686 65.2% - 0s
0 2 1.32686 0 106 0.80330 1.32686 65.2% - 0s
771 572 1.25768 16 109 0.80330 1.25768 56.6% 21.8 5s
H 1357 595 0.8053116 1.20946 50.2% 25.0 8s
H 1964 414 0.8059976 1.16333 44.3% 22.8 9s
1965 416 1.12104 41 122 0.80600 1.16333 44.3% 22.8 10s
5149 1403 infeasible 69 0.80600 1.05295 30.6% 17.7 15s
7083 1571 infeasible 66 0.80600 1.01225 25.6% 18.7 20s
9095 1569 0.91067 80 63 0.80600 0.96573 19.8% 19.5 25s
10596 1397 cutoff 70 0.80600 0.92472 14.7% 19.9 30s
12605 989 infeasible 91 0.80600 0.87272 8.28% 19.7 35s
14686 363 cutoff 78 0.80600 0.82584 2.46% 18.7 40s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 8
Implied bound: 31
Projected implied bound: 36
MIR: 36
Flow cover: 154
Flow path: 1
Inf proof: 157
Network: 1
Explored 15190 nodes (282273 simplex iterations) in 40.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.805998 0.805312 0.803299
Optimal solution found (tolerance 1.00e-02)
Best objective 8.059975836033e-01, best bound 8.083393216321e-01, gap 0.2905%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp42zwetzs.pyomo.lp
Reading time = 0.02 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_2ed12yq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.800238
Presolve removed 572 rows and 357 columns
Presolve time: 0.04s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.410385e+00, 1077 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41039 0 77 0.80024 1.41039 76.2% - 0s
0 0 1.39508 0 101 0.80024 1.39508 74.3% - 0s
0 0 1.39282 0 98 0.80024 1.39282 74.1% - 0s
0 0 1.34636 0 124 0.80024 1.34636 68.2% - 0s
0 0 1.34101 0 137 0.80024 1.34101 67.6% - 0s
0 0 1.31665 0 133 0.80024 1.31665 64.5% - 0s
0 0 1.31522 0 140 0.80024 1.31522 64.4% - 0s
0 0 1.31317 0 150 0.80024 1.31317 64.1% - 0s
0 0 1.31262 0 146 0.80024 1.31262 64.0% - 0s
0 0 1.31217 0 143 0.80024 1.31217 64.0% - 0s
0 0 1.31206 0 143 0.80024 1.31206 64.0% - 0s
0 0 1.31197 0 147 0.80024 1.31197 63.9% - 0s
0 0 1.31197 0 145 0.80024 1.31197 63.9% - 0s
0 0 1.31186 0 141 0.80024 1.31186 63.9% - 0s
0 0 1.31186 0 100 0.80024 1.31186 63.9% - 0s
0 2 1.31186 0 97 0.80024 1.31186 63.9% - 0s
790 493 1.25372 11 114 0.80024 1.26210 57.7% 24.9 5s
1867 619 1.18028 22 127 0.80024 1.19817 49.7% 26.1 10s
* 2482 600 145 0.8006698 1.16253 45.2% 23.8 11s
4872 1375 0.89654 57 77 0.80067 1.05100 31.3% 18.4 15s
6939 1771 0.81866 62 47 0.80067 0.98647 23.2% 16.8 20s
9613 1851 0.83650 70 36 0.80067 0.92726 15.8% 16.4 25s
H12365 1874 0.8006698 0.87882 9.76% 15.4 29s
12372 1797 0.86835 53 62 0.80067 0.87858 9.73% 15.4 30s
14998 1444 0.82192 83 50 0.80067 0.85129 6.32% 15.1 35s
17404 381 infeasible 71 0.80067 0.81519 1.81% 15.1 40s
Cutting planes:
Learned: 1
Gomory: 41
Cover: 6
Implied bound: 41
Projected implied bound: 32
Clique: 4
MIR: 39
StrongCG: 1
Flow cover: 136
Flow path: 2
Inf proof: 168
Explored 18098 nodes (271168 simplex iterations) in 41.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.80067 0.80067 0.800238
Optimal solution found (tolerance 1.00e-02)
Best objective 8.006697826235e-01, best bound 8.065027341881e-01, gap 0.7285%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp58f4_kx7.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppxcjr8gj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.789759
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.394646e+00, 925 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39465 0 77 0.78976 1.39465 76.6% - 0s
0 0 1.38088 0 99 0.78976 1.38088 74.8% - 0s
0 0 1.37815 0 98 0.78976 1.37815 74.5% - 0s
0 0 1.34711 0 117 0.78976 1.34711 70.6% - 0s
0 0 1.34365 0 121 0.78976 1.34365 70.1% - 0s
0 0 1.32833 0 124 0.78976 1.32833 68.2% - 0s
0 0 1.32612 0 116 0.78976 1.32612 67.9% - 0s
0 0 1.31874 0 129 0.78976 1.31874 67.0% - 0s
0 0 1.31656 0 128 0.78976 1.31656 66.7% - 0s
0 0 1.31615 0 131 0.78976 1.31615 66.7% - 0s
0 0 1.31593 0 134 0.78976 1.31593 66.6% - 0s
0 0 1.31506 0 121 0.78976 1.31506 66.5% - 0s
0 0 1.31354 0 136 0.78976 1.31354 66.3% - 0s
0 0 1.31150 0 137 0.78976 1.31150 66.1% - 0s
0 0 1.31112 0 134 0.78976 1.31112 66.0% - 0s
0 0 1.31091 0 135 0.78976 1.31091 66.0% - 0s
0 0 1.31090 0 135 0.78976 1.31090 66.0% - 0s
0 0 1.31079 0 138 0.78976 1.31079 66.0% - 0s
0 0 1.31062 0 142 0.78976 1.31062 66.0% - 0s
0 0 1.31062 0 144 0.78976 1.31062 66.0% - 0s
0 0 1.31062 0 121 0.78976 1.31062 66.0% - 0s
0 2 1.31062 0 118 0.78976 1.31062 66.0% - 0s
746 520 0.87286 87 122 0.78976 1.24186 57.2% 18.7 5s
1098 579 1.17309 19 129 0.78976 1.22743 55.4% 28.5 10s
2154 819 1.12995 25 132 0.78976 1.18978 50.7% 30.2 15s
3224 1128 1.08196 19 149 0.78976 1.15943 46.8% 30.0 20s
4654 1495 0.99659 52 75 0.78976 1.11021 40.6% 27.5 25s
7426 2051 infeasible 42 0.78976 1.04648 32.5% 22.7 30s
10589 2323 infeasible 46 0.78976 0.98730 25.0% 19.5 35s
13010 2576 infeasible 44 0.78976 0.94495 19.7% 18.1 40s
H13054 2585 0.7897594 0.94214 19.3% 18.0 40s
15559 2593 0.88350 51 65 0.78976 0.90286 14.3% 17.3 45s
18395 2610 0.86926 57 41 0.78976 0.88040 11.5% 16.8 50s
20407 2257 infeasible 64 0.78976 0.85808 8.65% 16.8 55s
22677 1543 infeasible 45 0.78976 0.83164 5.30% 17.1 60s
24790 767 infeasible 52 0.78976 0.80976 2.53% 16.9 65s
Cutting planes:
Learned: 1
Gomory: 51
Cover: 11
Implied bound: 50
Projected implied bound: 30
MIR: 50
Flow cover: 181
Flow path: 2
Inf proof: 234
Explored 25821 nodes (435542 simplex iterations) in 66.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.789759 0.789759
Optimal solution found (tolerance 1.00e-02)
Best objective 7.897594139663e-01, best bound 7.970197483733e-01, gap 0.9193%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp642xy3pc.pyomo.lp
Reading time = 0.02 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu5xdqhym.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.778762
Presolve removed 598 rows and 373 columns
Presolve time: 0.05s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.383731e+00, 1005 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38373 0 77 0.77876 1.38373 77.7% - 0s
0 0 1.37104 0 106 0.77876 1.37104 76.1% - 0s
0 0 1.36842 0 106 0.77876 1.36842 75.7% - 0s
0 0 1.33197 0 144 0.77876 1.33197 71.0% - 0s
0 0 1.33070 0 137 0.77876 1.33070 70.9% - 0s
0 0 1.31126 0 119 0.77876 1.31126 68.4% - 0s
0 0 1.30499 0 139 0.77876 1.30499 67.6% - 0s
0 0 1.30417 0 145 0.77876 1.30417 67.5% - 0s
0 0 1.30234 0 144 0.77876 1.30234 67.2% - 0s
0 0 1.30156 0 149 0.77876 1.30156 67.1% - 0s
0 0 1.30087 0 146 0.77876 1.30087 67.0% - 0s
0 0 1.30056 0 154 0.77876 1.30056 67.0% - 0s
0 0 1.30055 0 153 0.77876 1.30055 67.0% - 0s
0 0 1.29784 0 144 0.77876 1.29784 66.7% - 0s
0 0 1.29772 0 142 0.77876 1.29772 66.6% - 0s
0 0 1.29771 0 151 0.77876 1.29771 66.6% - 0s
0 0 1.29770 0 148 0.77876 1.29770 66.6% - 0s
0 0 1.29770 0 144 0.77876 1.29770 66.6% - 0s
0 0 1.29770 0 95 0.77876 1.29770 66.6% - 0s
0 2 1.29770 0 95 0.77876 1.29770 66.6% - 0s
751 462 1.21351 12 109 0.77876 1.21351 55.8% 24.8 5s
1664 551 1.17745 20 123 0.77876 1.20918 55.3% 27.9 10s
3838 976 infeasible 38 0.77876 1.09858 41.1% 22.3 15s
6913 1768 infeasible 40 0.77876 0.97569 25.3% 18.5 20s
10024 2572 infeasible 63 0.77876 0.94076 20.8% 17.1 25s
12190 2504 0.88330 63 81 0.77876 0.90745 16.5% 17.5 30s
13933 2170 cutoff 59 0.77876 0.87714 12.6% 17.4 35s
16191 1529 infeasible 58 0.77876 0.84172 8.08% 17.2 40s
18746 609 0.78113 60 42 0.77876 0.80126 2.89% 16.8 45s
Cutting planes:
Gomory: 37
Cover: 7
Implied bound: 45
Projected implied bound: 42
MIR: 35
Flow cover: 125
Flow path: 2
Inf proof: 241
Explored 19776 nodes (328968 simplex iterations) in 46.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.778762
Optimal solution found (tolerance 1.00e-02)
Best objective 7.787623319627e-01, best bound 7.847524058061e-01, gap 0.7692%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl7790rn2.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf2ifo2sg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.768548
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.355099e+00, 951 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35510 0 80 0.76855 1.35510 76.3% - 0s
0 0 1.34304 0 104 0.76855 1.34304 74.8% - 0s
0 0 1.34045 0 105 0.76855 1.34045 74.4% - 0s
0 0 1.30221 0 120 0.76855 1.30221 69.4% - 0s
0 0 1.29749 0 130 0.76855 1.29749 68.8% - 0s
0 0 1.27819 0 119 0.76855 1.27819 66.3% - 0s
0 0 1.27819 0 121 0.76855 1.27819 66.3% - 0s
0 0 1.27545 0 130 0.76855 1.27545 66.0% - 0s
0 0 1.27536 0 130 0.76855 1.27536 65.9% - 0s
0 0 1.27433 0 136 0.76855 1.27433 65.8% - 0s
0 0 1.27433 0 136 0.76855 1.27433 65.8% - 0s
0 0 1.27417 0 136 0.76855 1.27417 65.8% - 0s
0 0 1.27416 0 133 0.76855 1.27416 65.8% - 0s
0 0 1.27416 0 133 0.76855 1.27416 65.8% - 0s
0 0 1.27416 0 108 0.76855 1.27416 65.8% - 0s
0 2 1.27416 0 105 0.76855 1.27416 65.8% - 0s
741 521 1.00036 49 122 0.76855 1.20564 56.9% 23.3 5s
1278 588 1.18412 17 147 0.76855 1.19887 56.0% 31.3 10s
H 2233 540 0.7685476 1.15511 50.3% 27.6 14s
2277 543 1.00665 33 129 0.76855 1.15511 50.3% 27.4 15s
4299 1326 1.04967 30 138 0.76855 1.07275 39.6% 23.6 20s
H 5421 1817 0.7685476 1.05447 37.2% 21.7 22s
H 5434 1818 0.7685476 1.05447 37.2% 21.7 22s
6171 2032 infeasible 47 0.76855 1.04140 35.5% 20.8 25s
8883 2587 0.84935 61 98 0.76855 0.99622 29.6% 19.1 30s
10924 2670 infeasible 40 0.76855 0.96079 25.0% 18.5 35s
12741 2533 infeasible 33 0.76855 0.93043 21.1% 18.2 40s
14747 2363 0.86280 41 70 0.76855 0.90144 17.3% 17.5 45s
16890 2262 infeasible 48 0.76855 0.87432 13.8% 17.1 50s
18357 2154 0.78156 65 40 0.76855 0.85867 11.7% 16.8 55s
21020 2126 cutoff 63 0.76855 0.83776 9.01% 16.1 60s
23547 1705 infeasible 63 0.76855 0.81414 5.93% 15.7 65s
25774 1233 infeasible 87 0.76855 0.79696 3.70% 15.4 70s
Cutting planes:
Learned: 1
Gomory: 46
Cover: 11
Implied bound: 53
Projected implied bound: 35
Clique: 1
MIR: 41
Flow cover: 144
Flow path: 3
Inf proof: 239
Explored 28188 nodes (427124 simplex iterations) in 74.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.768548 0.768548 0.768548 0.768548
Optimal solution found (tolerance 1.00e-02)
Best objective 7.685476450189e-01, best bound 7.749658619810e-01, gap 0.8351%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpprb0tnec.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl3d9tylq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.753336
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.349850e+00, 1004 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34985 0 80 0.75334 1.34985 79.2% - 0s
0 0 1.33828 0 106 0.75334 1.33828 77.6% - 0s
0 0 1.33577 0 105 0.75334 1.33577 77.3% - 0s
0 0 1.30676 0 131 0.75334 1.30676 73.5% - 0s
0 0 1.30570 0 123 0.75334 1.30570 73.3% - 0s
0 0 1.29760 0 118 0.75334 1.29760 72.2% - 0s
0 0 1.29665 0 123 0.75334 1.29665 72.1% - 0s
0 0 1.29048 0 126 0.75334 1.29048 71.3% - 0s
0 0 1.28724 0 129 0.75334 1.28724 70.9% - 0s
0 0 1.28618 0 128 0.75334 1.28618 70.7% - 0s
0 0 1.28617 0 134 0.75334 1.28617 70.7% - 0s
0 0 1.28477 0 136 0.75334 1.28477 70.5% - 0s
0 0 1.28074 0 134 0.75334 1.28074 70.0% - 0s
0 0 1.28068 0 135 0.75334 1.28068 70.0% - 0s
0 0 1.27834 0 136 0.75334 1.27834 69.7% - 0s
0 0 1.27833 0 136 0.75334 1.27833 69.7% - 0s
0 0 1.27832 0 137 0.75334 1.27832 69.7% - 0s
0 0 1.27832 0 137 0.75334 1.27832 69.7% - 0s
0 0 1.27832 0 138 0.75334 1.27832 69.7% - 0s
0 0 1.27832 0 118 0.75334 1.27832 69.7% - 0s
0 2 1.27832 0 116 0.75334 1.27832 69.7% - 0s
742 567 1.07635 17 105 0.75334 1.20693 60.2% 23.0 5s
1349 647 1.04980 55 112 0.75334 1.20577 60.1% 29.3 10s
* 1741 743 194 0.7533388 1.18937 57.9% 26.3 10s
2234 710 0.94589 34 118 0.75334 1.16293 54.4% 27.4 15s
4793 1870 0.94112 49 126 0.75334 1.05995 40.7% 22.4 20s
7674 2926 1.01478 48 114 0.75334 1.01742 35.1% 19.8 25s
9326 3236 0.89780 56 90 0.75334 0.98597 30.9% 19.2 30s
11874 3303 infeasible 54 0.75334 0.94573 25.5% 18.4 35s
14522 3353 0.87015 64 88 0.75334 0.90774 20.5% 17.2 40s
H14532 3353 0.7533388 0.90774 20.5% 17.1 40s
16651 3064 infeasible 52 0.75334 0.87798 16.5% 16.6 45s
19271 2738 infeasible 81 0.75334 0.84523 12.2% 16.2 50s
H20828 2582 0.7535431 0.83109 10.3% 15.9 54s
20894 2508 infeasible 70 0.75354 0.82990 10.1% 15.9 55s
22750 2085 infeasible 102 0.75354 0.81247 7.82% 15.8 60s
24804 1111 0.76433 92 59 0.75354 0.78143 3.70% 15.6 65s
Cutting planes:
Learned: 1
Gomory: 30
Cover: 5
Implied bound: 42
Projected implied bound: 52
Clique: 1
MIR: 45
Flow cover: 129
Flow path: 2
Inf proof: 289
Explored 26626 nodes (411647 simplex iterations) in 68.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.753543 0.753339 0.753339 0.753336
Optimal solution found (tolerance 1.00e-02)
Best objective 7.535430762848e-01, best bound 7.599300903068e-01, gap 0.8476%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjfanwzt5.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyp2dx55y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.737469
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.320573e+00, 1038 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32057 0 82 0.73747 1.32057 79.1% - 0s
0 0 1.31446 0 110 0.73747 1.31446 78.2% - 0s
0 0 1.31210 0 108 0.73747 1.31210 77.9% - 0s
0 0 1.27695 0 135 0.73747 1.27695 73.2% - 0s
0 0 1.27264 0 138 0.73747 1.27264 72.6% - 0s
0 0 1.26372 0 143 0.73747 1.26372 71.4% - 0s
0 0 1.26254 0 144 0.73747 1.26254 71.2% - 0s
0 0 1.24742 0 153 0.73747 1.24742 69.1% - 0s
0 0 1.24724 0 148 0.73747 1.24724 69.1% - 0s
0 0 1.24579 0 148 0.73747 1.24579 68.9% - 0s
0 0 1.24578 0 151 0.73747 1.24578 68.9% - 0s
0 0 1.24577 0 151 0.73747 1.24577 68.9% - 0s
0 0 1.24577 0 152 0.73747 1.24577 68.9% - 0s
0 0 1.24577 0 104 0.73747 1.24577 68.9% - 0s
0 2 1.24577 0 101 0.73747 1.24577 68.9% - 0s
760 437 1.12451 12 128 0.73747 1.16130 57.5% 22.0 5s
1501 434 infeasible 39 0.73747 1.05207 42.7% 23.6 10s
H 2417 539 0.7374690 1.02537 39.0% 22.2 12s
3440 916 0.94454 47 109 0.73747 0.98940 34.2% 22.0 15s
5966 1732 infeasible 66 0.73747 0.93573 26.9% 19.6 20s
8632 2524 infeasible 53 0.73747 0.89522 21.4% 17.4 25s
12019 3271 infeasible 63 0.73747 0.86586 17.4% 16.1 30s
14408 3362 infeasible 53 0.73747 0.84392 14.4% 15.7 35s
16233 3261 infeasible 75 0.73747 0.82996 12.5% 15.8 40s
18071 3071 0.74989 59 74 0.73747 0.81677 10.8% 16.0 45s
20388 2731 cutoff 73 0.73747 0.79915 8.36% 16.0 50s
22792 2090 infeasible 73 0.73747 0.78044 5.83% 16.0 55s
25083 1274 infeasible 96 0.73747 0.76063 3.14% 15.9 60s
Cutting planes:
Learned: 1
Gomory: 21
Cover: 4
Implied bound: 42
Projected implied bound: 52
Clique: 1
MIR: 35
StrongCG: 1
Flow cover: 138
Flow path: 3
Inf proof: 281
Explored 26870 nodes (424948 simplex iterations) in 64.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.737469 0.737469
Optimal solution found (tolerance 1.00e-02)
Best objective 7.374689942887e-01, best bound 7.448276962828e-01, gap 0.9978%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpigzr890_.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpholl1s7i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732792
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.313202e+00, 1054 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31320 0 83 0.73279 1.31320 79.2% - 0s
0 0 1.30187 0 113 0.73279 1.30187 77.7% - 0s
0 0 1.29950 0 111 0.73279 1.29950 77.3% - 0s
0 0 1.26835 0 130 0.73279 1.26835 73.1% - 0s
0 0 1.26691 0 133 0.73279 1.26691 72.9% - 0s
0 0 1.24715 0 129 0.73279 1.24715 70.2% - 0s
0 0 1.24648 0 138 0.73279 1.24648 70.1% - 0s
0 0 1.24450 0 132 0.73279 1.24450 69.8% - 0s
0 0 1.24210 0 131 0.73279 1.24210 69.5% - 0s
0 0 1.24079 0 137 0.73279 1.24079 69.3% - 0s
0 0 1.24079 0 135 0.73279 1.24079 69.3% - 0s
0 0 1.24064 0 144 0.73279 1.24064 69.3% - 0s
0 0 1.24054 0 145 0.73279 1.24054 69.3% - 0s
0 0 1.24046 0 144 0.73279 1.24046 69.3% - 0s
0 0 1.24046 0 117 0.73279 1.24046 69.3% - 0s
0 2 1.24046 0 117 0.73279 1.24046 69.3% - 0s
740 469 1.01246 16 135 0.73279 1.15266 57.3% 20.7 5s
1457 617 1.09913 25 129 0.73279 1.14006 55.6% 28.0 10s
H 1782 559 0.7327924 1.11549 52.2% 28.3 11s
H 1984 499 0.7327924 1.10574 50.9% 28.7 13s
2430 631 0.89449 34 140 0.73279 1.06975 46.0% 28.1 15s
5283 1820 0.96711 54 111 0.73279 1.00389 37.0% 21.1 20s
8241 2490 0.88581 61 86 0.73279 0.94395 28.8% 18.9 25s
10959 2497 infeasible 58 0.73279 0.87740 19.7% 17.2 30s
13517 2501 infeasible 54 0.73279 0.85097 16.1% 16.5 35s
15075 2147 infeasible 65 0.73279 0.82325 12.3% 16.2 40s
17044 1599 infeasible 90 0.73279 0.79508 8.50% 15.9 45s
18923 908 infeasible 77 0.73279 0.76399 4.26% 15.8 50s
Cutting planes:
Learned: 2
Gomory: 39
Cover: 5
Implied bound: 40
Projected implied bound: 51
Clique: 1
MIR: 37
Flow cover: 149
Flow path: 3
Inf proof: 221
Explored 20775 nodes (322737 simplex iterations) in 54.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.732792 0.732792 0.732792
Optimal solution found (tolerance 1.00e-02)
Best objective 7.327923931849e-01, best bound 7.364433909231e-01, gap 0.4982%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdf7ozkfi.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptf5pgurq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.722443
Presolve removed 663 rows and 413 columns
Presolve time: 0.04s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.290040e+00, 1045 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29004 0 86 0.72244 1.29004 78.6% - 0s
0 0 1.27867 0 122 0.72244 1.27867 77.0% - 0s
0 0 1.27635 0 121 0.72244 1.27635 76.7% - 0s
0 0 1.24378 0 152 0.72244 1.24378 72.2% - 0s
0 0 1.24352 0 146 0.72244 1.24352 72.1% - 0s
0 0 1.22642 0 158 0.72244 1.22642 69.8% - 0s
0 0 1.22590 0 152 0.72244 1.22590 69.7% - 0s
0 0 1.21687 0 160 0.72244 1.21687 68.4% - 0s
0 0 1.21683 0 163 0.72244 1.21683 68.4% - 0s
0 0 1.21370 0 154 0.72244 1.21370 68.0% - 0s
0 0 1.21351 0 155 0.72244 1.21351 68.0% - 0s
0 0 1.21112 0 164 0.72244 1.21112 67.6% - 0s
0 0 1.21101 0 169 0.72244 1.21101 67.6% - 0s
0 0 1.21098 0 163 0.72244 1.21098 67.6% - 0s
0 0 1.21098 0 163 0.72244 1.21098 67.6% - 0s
0 0 1.21096 0 162 0.72244 1.21096 67.6% - 0s
0 0 1.21096 0 119 0.72244 1.21096 67.6% - 0s
0 2 1.21096 0 118 0.72244 1.21096 67.6% - 0s
745 523 1.14839 9 131 0.72244 1.16201 60.8% 21.4 5s
892 570 infeasible 33 0.72244 1.16201 60.8% 32.6 10s
H 1389 682 0.7224498 1.16201 60.8% 32.3 13s
1799 765 0.83401 79 102 0.72245 1.11827 54.8% 30.8 15s
H 2504 960 0.7224498 1.09248 51.2% 29.6 18s
3030 1108 1.02658 39 128 0.72245 1.07115 48.3% 28.9 20s
4622 1692 0.93459 41 135 0.72245 1.01552 40.6% 26.4 25s
6498 2317 infeasible 53 0.72245 0.98127 35.8% 25.0 30s
H 7047 2422 0.7224498 0.97014 34.3% 24.9 31s
8060 2555 cutoff 46 0.72245 0.94812 31.2% 25.0 35s
9720 2745 infeasible 53 0.72245 0.92247 27.7% 24.6 40s
11268 2542 0.81345 73 74 0.72245 0.87913 21.7% 23.6 45s
13366 2456 infeasible 47 0.72245 0.84180 16.5% 21.5 50s
15511 2596 infeasible 64 0.72245 0.82437 14.1% 19.9 55s
18384 2862 0.77823 64 81 0.72245 0.81111 12.3% 18.5 60s
19939 2610 0.74151 55 73 0.72245 0.79939 10.6% 18.1 65s
21558 2287 0.75252 55 85 0.72245 0.78487 8.64% 17.9 70s
23370 1848 0.75746 55 55 0.72245 0.76893 6.43% 17.7 75s
25273 1106 0.72679 96 33 0.72245 0.74658 3.34% 17.4 80s
Cutting planes:
Gomory: 38
Cover: 10
Implied bound: 41
Projected implied bound: 44
MIR: 64
Flow cover: 191
Flow path: 3
Inf proof: 285
Explored 27221 nodes (467822 simplex iterations) in 83.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.72245 0.72245 0.72245 0.722443
Optimal solution found (tolerance 1.00e-02)
Best objective 7.224498277689e-01, best bound 7.258536557840e-01, gap 0.4712%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa2pxh_7z.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfd_nsnq3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.721871
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.270035e+00, 1069 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27003 0 87 0.72187 1.27003 75.9% - 0s
0 0 1.25988 0 120 0.72187 1.25988 74.5% - 0s
0 0 1.25767 0 120 0.72187 1.25767 74.2% - 0s
0 0 1.22478 0 140 0.72187 1.22478 69.7% - 0s
0 0 1.22376 0 139 0.72187 1.22376 69.5% - 0s
0 0 1.20718 0 134 0.72187 1.20718 67.2% - 0s
0 0 1.20265 0 138 0.72187 1.20265 66.6% - 0s
0 0 1.20189 0 151 0.72187 1.20189 66.5% - 0s
0 0 1.20185 0 151 0.72187 1.20185 66.5% - 0s
0 0 1.20156 0 151 0.72187 1.20156 66.5% - 0s
0 0 1.20150 0 153 0.72187 1.20150 66.4% - 0s
0 0 1.20146 0 154 0.72187 1.20146 66.4% - 0s
0 0 1.20146 0 154 0.72187 1.20146 66.4% - 0s
0 0 1.20141 0 153 0.72187 1.20141 66.4% - 0s
0 0 1.20141 0 126 0.72187 1.20141 66.4% - 0s
0 2 1.20141 0 126 0.72187 1.20141 66.4% - 0s
784 628 1.07302 35 135 0.72187 1.16382 61.2% 17.3 5s
1339 742 0.98139 40 132 0.72187 1.12294 55.6% 26.0 10s
2726 680 0.93051 25 166 0.72187 1.03335 43.1% 23.6 15s
5310 1492 0.83436 69 76 0.72187 0.96838 34.1% 20.4 20s
H 6033 1612 0.7218714 0.94675 31.2% 20.1 23s
6867 1704 0.89600 42 95 0.72187 0.93054 28.9% 19.5 25s
9757 1938 infeasible 54 0.72187 0.86844 20.3% 17.5 30s
12445 2053 infeasible 50 0.72187 0.83084 15.1% 16.3 35s
14768 2219 0.78694 63 88 0.72187 0.81261 12.6% 15.9 40s
16980 2073 infeasible 67 0.72187 0.79298 9.85% 15.8 45s
18651 1672 0.74426 61 74 0.72187 0.77358 7.16% 15.8 50s
20661 1105 infeasible 122 0.72187 0.75146 4.10% 15.6 55s
23154 791 0.73446 83 42 0.72187 0.73737 2.15% 15.2 60s
Cutting planes:
Learned: 1
Gomory: 45
Cover: 7
Implied bound: 31
Projected implied bound: 41
Clique: 1
MIR: 43
Flow cover: 167
Flow path: 3
Inf proof: 237
Zero half: 1
Explored 24373 nodes (370295 simplex iterations) in 62.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.721871 0.721871
Optimal solution found (tolerance 1.00e-02)
Best objective 7.218714409041e-01, best bound 7.283664325369e-01, gap 0.8997%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwuxehc40.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy852unko.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.72532
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.279460e+00, 1103 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27946 0 92 0.72532 1.27946 76.4% - 0s
0 0 1.26743 0 129 0.72532 1.26743 74.7% - 0s
0 0 1.26525 0 131 0.72532 1.26525 74.4% - 0s
0 0 1.22914 0 147 0.72532 1.22914 69.5% - 0s
0 0 1.22749 0 147 0.72532 1.22749 69.2% - 0s
0 0 1.20347 0 134 0.72532 1.20347 65.9% - 0s
0 0 1.20042 0 139 0.72532 1.20042 65.5% - 0s
0 0 1.19792 0 164 0.72532 1.19792 65.2% - 0s
0 0 1.19786 0 165 0.72532 1.19786 65.1% - 0s
0 0 1.19729 0 160 0.72532 1.19729 65.1% - 0s
0 0 1.19729 0 161 0.72532 1.19729 65.1% - 0s
0 0 1.19726 0 157 0.72532 1.19726 65.1% - 0s
0 0 1.19726 0 157 0.72532 1.19726 65.1% - 0s
0 0 1.19726 0 157 0.72532 1.19726 65.1% - 0s
0 0 1.19726 0 129 0.72532 1.19726 65.1% - 0s
0 2 1.19726 0 128 0.72532 1.19726 65.1% - 0s
762 504 0.94342 87 142 0.72532 1.14502 57.9% 22.4 5s
883 540 infeasible 23 0.72532 1.13204 56.1% 32.8 10s
1655 597 0.98325 26 144 0.72532 1.08917 50.2% 34.0 15s
2571 787 0.87046 45 131 0.72532 1.06162 46.4% 30.6 20s
H 2572 788 0.7253205 1.06162 46.4% 30.6 20s
4544 1739 0.90187 57 94 0.72532 1.01647 40.1% 25.0 25s
6663 2624 0.75532 67 97 0.72532 0.98458 35.7% 23.0 30s
9324 3417 0.86670 54 130 0.72532 0.95436 31.6% 22.1 35s
11233 3562 infeasible 55 0.72532 0.93435 28.8% 21.4 40s
13302 3544 infeasible 50 0.72532 0.90736 25.1% 20.5 45s
15454 3485 infeasible 42 0.72532 0.87412 20.5% 19.3 50s
17788 3317 0.81402 70 64 0.72532 0.84582 16.6% 18.4 55s
20524 3385 0.81038 51 62 0.72532 0.82732 14.1% 17.5 60s
21159 3397 infeasible 75 0.72532 0.82394 13.6% 17.3 74s
21777 3373 infeasible 79 0.72532 0.82024 13.1% 17.3 75s
23241 3154 cutoff 90 0.72532 0.80912 11.6% 17.5 80s
24774 2786 infeasible 60 0.72532 0.79531 9.65% 17.9 85s
26282 2224 0.75237 69 73 0.72532 0.77854 7.34% 18.1 90s
27849 1706 infeasible 75 0.72532 0.76413 5.35% 18.1 95s
29421 1059 infeasible 140 0.72532 0.74901 3.27% 18.1 100s
Cutting planes:
Learned: 1
Gomory: 65
Cover: 13
Implied bound: 45
Projected implied bound: 48
Clique: 4
MIR: 61
Flow cover: 205
Flow path: 6
Inf proof: 292
Explored 31321 nodes (565313 simplex iterations) in 104.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.725321 0.72532
Optimal solution found (tolerance 1.00e-02)
Best objective 7.253204970668e-01, best bound 7.315743975500e-01, gap 0.8622%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxnk5q03u.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo7vh_soe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.712854
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.257824e+00, 1127 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25782 0 93 0.71285 1.25782 76.4% - 0s
0 0 1.24756 0 128 0.71285 1.24756 75.0% - 0s
0 0 1.24544 0 128 0.71285 1.24544 74.7% - 0s
0 0 1.20214 0 170 0.71285 1.20214 68.6% - 0s
0 0 1.19795 0 164 0.71285 1.19795 68.1% - 0s
0 0 1.17906 0 167 0.71285 1.17906 65.4% - 0s
0 0 1.17843 0 172 0.71285 1.17843 65.3% - 0s
0 0 1.17551 0 172 0.71285 1.17551 64.9% - 0s
0 0 1.17530 0 171 0.71285 1.17530 64.9% - 0s
0 0 1.17444 0 170 0.71285 1.17444 64.8% - 0s
0 0 1.17443 0 170 0.71285 1.17443 64.8% - 0s
0 0 1.17441 0 170 0.71285 1.17441 64.7% - 0s
0 0 1.17441 0 170 0.71285 1.17441 64.7% - 0s
0 0 1.17441 0 170 0.71285 1.17441 64.7% - 0s
0 0 1.17441 0 129 0.71285 1.17441 64.7% - 0s
0 2 1.17441 0 129 0.71285 1.17441 64.7% - 0s
741 519 1.09656 13 128 0.71285 1.13610 59.4% 24.2 5s
795 539 1.10167 20 148 0.71285 1.10343 54.8% 32.6 10s
1699 427 0.83413 74 114 0.71285 1.04708 46.9% 30.3 15s
3669 1050 0.82341 73 100 0.71285 0.97700 37.1% 25.2 20s
6012 2076 0.87318 53 100 0.71285 0.94830 33.0% 22.5 25s
7679 2601 0.83965 60 104 0.71285 0.92021 29.1% 21.8 30s
10201 3229 infeasible 58 0.71285 0.88934 24.8% 20.4 35s
H13119 3922 0.7128541 0.85877 20.5% 19.0 39s
13123 3883 0.73720 62 64 0.71285 0.85788 20.3% 19.0 40s
16045 4151 0.80286 61 94 0.71285 0.83585 17.3% 18.0 45s
17855 3993 infeasible 61 0.71285 0.81524 14.4% 17.5 50s
19408 3478 0.76712 64 89 0.71285 0.79690 11.8% 17.3 55s
20992 2993 infeasible 65 0.71285 0.77956 9.36% 17.1 60s
23196 2331 cutoff 78 0.71285 0.75816 6.36% 16.8 65s
25910 2223 infeasible 79 0.71285 0.74678 4.76% 16.1 70s
27915 1739 infeasible 104 0.71285 0.73589 3.23% 15.8 75s
30602 624 0.71581 106 53 0.71285 0.72276 1.39% 15.4 80s
Cutting planes:
Gomory: 45
Cover: 7
Implied bound: 34
Projected implied bound: 41
MIR: 42
Flow cover: 178
Flow path: 3
Inf proof: 287
Explored 31152 nodes (480954 simplex iterations) in 80.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.712854 0.712854
Optimal solution found (tolerance 1.00e-02)
Best objective 7.128540811936e-01, best bound 7.189955077979e-01, gap 0.8615%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdsh9qdlk.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplgbm2zl4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.704426
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.240098e+00, 1146 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24010 0 96 0.70443 1.24010 76.0% - 0s
0 0 1.23039 0 135 0.70443 1.23039 74.7% - 0s
0 0 1.22826 0 134 0.70443 1.22826 74.4% - 0s
0 0 1.18314 0 174 0.70443 1.18314 68.0% - 0s
0 0 1.18221 0 172 0.70443 1.18221 67.8% - 0s
0 0 1.16085 0 147 0.70443 1.16085 64.8% - 0s
0 0 1.15637 0 158 0.70443 1.15637 64.2% - 0s
0 0 1.15588 0 166 0.70443 1.15588 64.1% - 0s
0 0 1.15452 0 169 0.70443 1.15452 63.9% - 0s
0 0 1.15379 0 161 0.70443 1.15379 63.8% - 0s
0 0 1.15351 0 161 0.70443 1.15351 63.8% - 0s
0 0 1.15148 0 167 0.70443 1.15148 63.5% - 0s
0 0 1.15147 0 164 0.70443 1.15147 63.5% - 0s
0 0 1.15144 0 165 0.70443 1.15144 63.5% - 0s
0 0 1.15144 0 167 0.70443 1.15144 63.5% - 0s
0 0 1.15144 0 167 0.70443 1.15144 63.5% - 0s
0 0 1.15144 0 133 0.70443 1.15144 63.5% - 0s
0 2 1.15144 0 133 0.70443 1.15144 63.5% - 0s
762 567 0.97866 41 150 0.70443 1.11992 59.0% 18.9 5s
819 602 1.06967 20 156 0.70443 1.10403 56.7% 29.8 10s
1518 702 1.03691 26 142 0.70443 1.07713 52.9% 34.9 15s
H 1598 691 0.7044258 1.07713 52.9% 35.5 16s
2247 591 infeasible 34 0.70443 1.05642 50.0% 35.9 20s
3923 1159 infeasible 70 0.70443 1.02045 44.9% 29.9 25s
5528 1671 0.81678 32 164 0.70443 0.99438 41.2% 27.5 30s
6822 1744 0.79383 55 94 0.70443 0.96228 36.6% 27.6 35s
H 8703 2051 0.7044258 0.91955 30.5% 25.0 39s
8801 2002 infeasible 57 0.70443 0.91135 29.4% 24.8 40s
11527 2429 infeasible 64 0.70443 0.85786 21.8% 21.7 45s
14135 2842 infeasible 53 0.70443 0.82349 16.9% 19.8 50s
15932 3284 infeasible 51 0.70443 0.81289 15.4% 18.7 55s
18681 3523 infeasible 70 0.70443 0.79531 12.9% 17.7 60s
21034 3612 0.72668 124 133 0.70443 0.78086 10.8% 17.1 82s
21045 3619 0.76009 64 164 0.70443 0.78086 10.8% 17.1 87s
21052 3624 0.74618 75 197 0.70443 0.78086 10.8% 17.1 90s
21062 3631 0.71149 134 200 0.70443 0.78086 10.8% 17.1 95s
21072 3637 0.74370 62 214 0.70443 0.78086 10.8% 17.1 100s
21080 3643 0.72440 46 212 0.70443 0.78086 10.8% 17.0 105s
21088 3648 0.73117 67 225 0.70443 0.78086 10.8% 17.0 110s
21093 3651 0.73250 50 224 0.70443 0.78086 10.8% 17.0 115s
21100 3656 0.70992 101 227 0.70443 0.78086 10.8% 17.0 120s
21107 3661 0.73159 99 224 0.70443 0.78086 10.8% 17.0 125s
21114 3665 0.77057 85 237 0.70443 0.78086 10.8% 17.0 130s
21118 3668 0.75466 65 227 0.70443 0.78086 10.8% 17.0 135s
21123 3671 0.73623 56 238 0.70443 0.78086 10.8% 17.0 141s
21127 3674 0.73308 71 239 0.70443 0.78086 10.8% 17.0 145s
21133 3678 0.75901 64 246 0.70443 0.78086 10.8% 17.0 150s
21139 3682 0.71130 90 248 0.70443 0.78086 10.8% 17.0 155s
21144 3685 0.72944 93 251 0.70443 0.78086 10.8% 17.0 160s
21147 3687 0.74138 50 249 0.70443 0.78086 10.8% 17.0 165s
21151 3690 0.75149 65 250 0.70443 0.78086 10.8% 17.0 170s
21155 3693 0.76008 49 242 0.70443 0.78086 10.8% 17.0 176s
21158 3695 0.72949 73 246 0.70443 0.78086 10.8% 17.0 180s
21164 3699 0.76203 83 253 0.70443 0.78086 10.8% 17.0 185s
21168 3701 0.73493 58 256 0.70443 0.78086 10.8% 17.0 190s
21174 3705 0.73807 87 254 0.70443 0.78086 10.8% 17.0 196s
21176 3707 0.74006 71 255 0.70443 0.78086 10.8% 17.0 200s
21181 3710 0.72273 69 259 0.70443 0.78086 10.8% 17.0 205s
21187 3714 0.71565 99 263 0.70443 0.78086 10.8% 17.0 210s
21190 3716 0.72743 59 257 0.70443 0.78086 10.8% 17.0 215s
21195 3719 0.76884 67 261 0.70443 0.78086 10.8% 17.0 221s
21198 3721 0.75838 59 260 0.70443 0.78086 10.8% 17.0 225s
21202 3724 0.75093 55 259 0.70443 0.78086 10.8% 16.9 231s
21209 3729 0.72374 56 261 0.70443 0.78086 10.8% 16.9 235s
21212 3731 0.75470 66 242 0.70443 0.78086 10.8% 16.9 240s
21216 3733 0.71991 60 257 0.70443 0.78086 10.8% 16.9 245s
21219 3735 0.75410 113 260 0.70443 0.78086 10.8% 16.9 251s
21221 3737 0.74633 80 259 0.70443 0.78086 10.8% 16.9 255s
21226 3740 0.74452 62 275 0.70443 0.78086 10.8% 16.9 260s
21229 3742 0.71083 69 264 0.70443 0.78086 10.8% 16.9 266s
21231 3743 0.72994 91 267 0.70443 0.78086 10.8% 16.9 270s
21235 3746 0.76003 89 263 0.70443 0.78086 10.8% 16.9 276s
21240 3749 0.73601 55 266 0.70443 0.78086 10.8% 16.9 281s
21242 3751 0.74182 69 271 0.70443 0.78086 10.8% 16.9 285s
21247 3754 0.74138 50 272 0.70443 0.78086 10.8% 16.9 290s
21251 3757 0.75149 65 272 0.70443 0.78086 10.8% 16.9 295s
21255 3759 0.76008 49 272 0.70443 0.78086 10.8% 16.9 300s
21259 3762 0.76419 70 271 0.70443 0.78086 10.8% 16.9 306s
21262 3764 0.71149 134 276 0.70443 0.78086 10.8% 16.9 310s
21265 3766 0.73995 55 277 0.70443 0.78086 10.8% 16.9 315s
21268 3768 0.73493 58 279 0.70443 0.78086 10.8% 16.9 320s
21271 3770 0.73804 63 275 0.70443 0.78086 10.8% 16.9 325s
21274 3772 0.73807 87 277 0.70443 0.78086 10.8% 16.9 330s
21277 3774 0.77475 65 275 0.70443 0.78086 10.8% 16.9 335s
21281 3777 0.72273 69 272 0.70443 0.78086 10.8% 16.9 341s
21283 3778 0.71994 146 267 0.70443 0.78086 10.8% 16.9 345s
21287 3781 0.71565 99 273 0.70443 0.78086 10.8% 16.9 351s
21290 3783 0.72743 59 274 0.70443 0.78086 10.8% 16.9 355s
21293 3785 0.73250 50 273 0.70443 0.78086 10.8% 16.9 360s
21297 3787 0.77839 109 278 0.70443 0.78086 10.8% 16.9 365s
21300 3789 0.70992 101 276 0.70443 0.78086 10.8% 16.9 370s
21303 3791 0.75107 70 278 0.70443 0.78086 10.8% 16.9 375s
21305 3795 0.78086 29 252 0.70443 0.78086 10.8% 19.3 384s
21307 3793 0.78086 30 253 0.70443 0.78086 10.8% 19.3 393s
21316 3793 infeasible 33 0.70443 0.78086 10.8% 19.4 395s
21339 3788 infeasible 36 0.70443 0.78086 10.8% 19.8 400s
21472 3781 0.76289 43 222 0.70443 0.77909 10.6% 20.5 405s
H21572 3579 0.7044258 0.77385 9.86% 20.9 410s
21822 3610 0.71523 46 166 0.70443 0.77341 9.79% 21.3 415s
22143 3585 infeasible 59 0.70443 0.76791 9.01% 21.9 420s
22628 3603 0.75375 43 168 0.70443 0.76355 8.39% 22.6 425s
23053 3606 0.73755 57 122 0.70443 0.75909 7.76% 23.1 430s
23536 3549 0.73720 53 130 0.70443 0.75433 7.08% 23.8 435s
23869 3436 infeasible 47 0.70443 0.75020 6.50% 24.3 440s
24474 3295 infeasible 63 0.70443 0.74284 5.45% 25.0 446s
25170 3134 infeasible 56 0.70443 0.73606 4.49% 25.4 451s
25584 2962 infeasible 51 0.70443 0.73161 3.86% 25.9 455s
26037 2840 0.72694 61 115 0.70443 0.72961 3.57% 26.0 460s
26990 2459 0.71921 69 83 0.70443 0.72392 2.77% 26.4 466s
27540 2202 infeasible 51 0.70443 0.71997 2.21% 26.7 470s
28165 1774 infeasible 59 0.70443 0.71432 1.40% 27.1 475s
Cutting planes:
Learned: 5
Gomory: 185
Cover: 14
Implied bound: 51
Projected implied bound: 42
Clique: 16
MIR: 257
StrongCG: 6
Flow cover: 640
Flow path: 4
Inf proof: 84
Zero half: 5
Explored 28603 nodes (776825 simplex iterations) in 476.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.704426 0.704426 0.704426 0.704426
Optimal solution found (tolerance 1.00e-02)
Best objective 7.044258137805e-01, best bound 7.112861971280e-01, gap 0.9739%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsw81665_.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphgwjjfjz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.696919
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.219465e+00, 1159 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21947 0 99 0.69692 1.21947 75.0% - 0s
0 0 1.20989 0 141 0.69692 1.20989 73.6% - 0s
0 0 1.20781 0 140 0.69692 1.20781 73.3% - 0s
0 0 1.17416 0 167 0.69692 1.17416 68.5% - 0s
0 0 1.16967 0 162 0.69692 1.16967 67.8% - 0s
0 0 1.15701 0 158 0.69692 1.15701 66.0% - 0s
0 0 1.15696 0 157 0.69692 1.15696 66.0% - 0s
0 0 1.15523 0 149 0.69692 1.15523 65.8% - 0s
0 0 1.15515 0 157 0.69692 1.15515 65.8% - 0s
0 0 1.15509 0 154 0.69692 1.15509 65.7% - 0s
0 0 1.15507 0 158 0.69692 1.15507 65.7% - 0s
0 0 1.15507 0 122 0.69692 1.15507 65.7% - 0s
0 2 1.15507 0 118 0.69692 1.15507 65.7% - 0s
769 523 0.97602 31 147 0.69692 1.09183 56.7% 18.6 5s
965 558 infeasible 46 0.69692 1.07447 54.2% 28.3 10s
2034 577 0.86614 73 101 0.69692 1.04682 50.2% 26.1 15s
4077 1336 0.82104 53 136 0.69692 0.97615 40.1% 23.2 20s
6162 2048 0.80854 43 146 0.69692 0.94784 36.0% 21.4 25s
7966 2514 0.81362 69 96 0.69692 0.91648 31.5% 21.2 30s
10360 2950 0.75455 89 65 0.69692 0.88490 27.0% 19.4 35s
12398 2864 0.74487 54 139 0.69692 0.84599 21.4% 18.6 40s
H12647 2911 0.6969185 0.84365 21.1% 18.5 43s
H12666 2913 0.6969185 0.84256 20.9% 18.5 44s
12695 2883 0.80471 68 112 0.69692 0.84256 20.9% 18.5 45s
14694 3124 0.72941 52 122 0.69692 0.82846 18.9% 18.1 50s
17072 3479 infeasible 68 0.69692 0.81487 16.9% 17.5 55s
19480 3638 0.79773 71 85 0.69692 0.80104 14.9% 17.2 60s
21147 3504 0.75882 83 80 0.69692 0.78927 13.3% 17.3 65s
23147 3225 0.76728 82 72 0.69692 0.77436 11.1% 17.3 70s
24919 2923 infeasible 90 0.69692 0.76187 9.32% 17.5 75s
26986 2828 0.72090 78 71 0.69692 0.75012 7.63% 17.2 80s
28777 2597 infeasible 117 0.69692 0.73896 6.03% 17.1 85s
31057 2131 cutoff 81 0.69692 0.72716 4.34% 17.0 90s
32848 1614 0.71008 95 47 0.69692 0.71781 3.00% 16.9 95s
34719 728 cutoff 111 0.69692 0.70808 1.60% 16.9 100s
Cutting planes:
Learned: 1
Gomory: 61
Cover: 5
Implied bound: 44
Projected implied bound: 43
Clique: 3
MIR: 39
Flow cover: 189
Flow path: 2
Inf proof: 334
Explored 35565 nodes (601575 simplex iterations) in 101.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.696919 0.696919 0.696919
Optimal solution found (tolerance 1.00e-02)
Best objective 6.969185065072e-01, best bound 7.036391332931e-01, gap 0.9643%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp311occd9.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpblbtdvuh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.692753
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.202375e+00, 1169 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20238 0 100 0.69275 1.20238 73.6% - 0s
0 0 1.19289 0 136 0.69275 1.19289 72.2% - 0s
0 0 1.19084 0 138 0.69275 1.19084 71.9% - 0s
0 0 1.15999 0 173 0.69275 1.15999 67.4% - 0s
0 0 1.15851 0 174 0.69275 1.15851 67.2% - 0s
0 0 1.13756 0 159 0.69275 1.13756 64.2% - 0s
0 0 1.13415 0 171 0.69275 1.13415 63.7% - 0s
0 0 1.13355 0 182 0.69275 1.13355 63.6% - 0s
0 0 1.13263 0 180 0.69275 1.13263 63.5% - 0s
0 0 1.13178 0 176 0.69275 1.13178 63.4% - 0s
0 0 1.13115 0 170 0.69275 1.13115 63.3% - 0s
0 0 1.13067 0 172 0.69275 1.13067 63.2% - 0s
0 0 1.13035 0 173 0.69275 1.13035 63.2% - 0s
0 0 1.13035 0 177 0.69275 1.13035 63.2% - 0s
0 0 1.13033 0 177 0.69275 1.13033 63.2% - 0s
0 0 1.13033 0 139 0.69275 1.13033 63.2% - 0s
0 2 1.13033 0 137 0.69275 1.13033 63.2% - 0s
749 516 0.94295 29 139 0.69275 1.10117 59.0% 26.0 5s
797 542 1.05414 21 153 0.69275 1.07408 55.0% 33.4 10s
1786 794 1.04059 23 177 0.69275 1.04955 51.5% 28.6 15s
H 2065 769 0.6927526 1.04343 50.6% 28.9 17s
2502 775 infeasible 23 0.69275 1.02420 47.8% 30.5 20s
4076 1109 0.78387 54 159 0.69275 0.96481 39.3% 25.8 25s
7403 2481 0.92002 68 129 0.69275 0.92546 33.6% 19.9 30s
10085 3301 0.74220 70 129 0.69275 0.90122 30.1% 18.1 35s
12854 3934 infeasible 70 0.69275 0.87577 26.4% 17.2 40s
H15058 4622 0.6927526 0.86413 24.7% 16.7 44s
H15061 4622 0.6927526 0.86399 24.7% 16.7 44s
15264 4574 0.70016 71 124 0.69275 0.86186 24.4% 16.8 46s
17132 4833 cutoff 70 0.69275 0.84775 22.4% 16.5 50s
19628 5333 0.79274 81 94 0.69275 0.83572 20.6% 16.1 55s
20709 5576 0.69857 148 139 0.69275 0.83201 20.1% 15.9 72s
20718 5582 0.83066 80 211 0.69275 0.83201 20.1% 15.9 75s
20727 5588 0.69642 98 215 0.69275 0.83201 20.1% 15.9 81s
20731 5591 0.80735 65 232 0.69275 0.83201 20.1% 15.9 85s
20740 5597 0.74991 72 226 0.69275 0.83201 20.1% 15.9 91s
20746 5601 0.72889 60 239 0.69275 0.83201 20.1% 15.9 95s
20752 5605 0.79806 90 245 0.69275 0.83201 20.1% 15.9 100s
20758 5609 0.82996 80 233 0.69275 0.83201 20.1% 15.9 106s
20765 5613 0.70846 83 262 0.69275 0.83201 20.1% 15.9 111s
20767 5615 0.80195 94 251 0.69275 0.83201 20.1% 15.9 115s
20771 5617 0.71302 87 258 0.69275 0.83201 20.1% 15.9 121s
20779 5623 0.69504 120 260 0.69275 0.83201 20.1% 15.9 126s
20786 5627 0.72852 115 256 0.69275 0.83201 20.1% 15.9 131s
20788 5629 0.72334 91 242 0.69275 0.83201 20.1% 15.9 135s
20796 5634 0.71068 73 256 0.69275 0.83201 20.1% 15.8 140s
20800 5637 0.77197 81 248 0.69275 0.83201 20.1% 15.8 145s
20805 5640 0.82578 72 254 0.69275 0.83201 20.1% 15.8 151s
20810 5643 0.79998 80 258 0.69275 0.83201 20.1% 15.8 155s
20813 5645 0.82717 76 255 0.69275 0.83201 20.1% 15.8 161s
20818 5649 0.83066 80 247 0.69275 0.83201 20.1% 15.8 165s
20825 5653 0.81326 83 263 0.69275 0.83201 20.1% 15.8 170s
20830 5657 0.69917 116 249 0.69275 0.83201 20.1% 15.8 175s
20837 5661 0.82203 41 249 0.69275 0.83201 20.1% 15.8 181s
20841 5664 0.74031 77 255 0.69275 0.83201 20.1% 15.8 185s
20848 5669 0.78029 80 271 0.69275 0.83201 20.1% 15.8 190s
20853 5672 0.70402 142 264 0.69275 0.83201 20.1% 15.8 195s
20859 5676 0.75051 72 274 0.69275 0.83201 20.1% 15.8 201s
20862 5678 0.71820 83 281 0.69275 0.83201 20.1% 15.8 205s
20867 5681 0.80195 94 284 0.69275 0.83201 20.1% 15.8 210s
20870 5683 0.70370 78 275 0.69275 0.83201 20.1% 15.8 215s
20875 5687 0.70937 159 267 0.69275 0.83201 20.1% 15.8 220s
20879 5689 0.69504 120 275 0.69275 0.83201 20.1% 15.8 225s
20884 5693 0.78075 58 276 0.69275 0.83201 20.1% 15.8 231s
H20885 5405 0.6927526 0.83201 20.1% 15.8 234s
20887 5407 0.70720 63 277 0.69275 0.83201 20.1% 15.8 235s
20890 5409 0.75885 90 280 0.69275 0.83201 20.1% 15.8 240s
20894 5411 0.78776 76 272 0.69275 0.83201 20.1% 15.8 246s
20899 5415 0.76615 83 290 0.69275 0.83201 20.1% 15.8 250s
20903 5417 0.74199 106 280 0.69275 0.83201 20.1% 15.8 255s
20907 5420 0.82770 55 289 0.69275 0.83201 20.1% 15.8 261s
20909 5421 0.69857 148 280 0.69275 0.83201 20.1% 15.8 265s
20913 5424 0.82717 76 287 0.69275 0.83201 20.1% 15.8 270s
20917 5427 0.73510 96 285 0.69275 0.83201 20.1% 15.8 275s
20921 5429 0.78075 70 289 0.69275 0.83201 20.1% 15.7 280s
20925 5432 0.81326 83 276 0.69275 0.83201 20.1% 15.7 286s
20929 5435 0.73866 83 283 0.69275 0.83201 20.1% 15.7 290s
20935 5439 0.78216 77 291 0.69275 0.83201 20.1% 15.7 295s
20939 5441 0.71567 98 292 0.69275 0.83201 20.1% 15.7 300s
20943 5444 0.78240 65 288 0.69275 0.83201 20.1% 15.7 305s
20949 5448 0.82086 78 298 0.69275 0.83201 20.1% 15.7 311s
20953 5451 0.70402 142 301 0.69275 0.83201 20.1% 15.7 315s
20960 5455 0.78559 83 302 0.69275 0.83201 20.1% 15.7 320s
20963 5457 0.70524 86 292 0.69275 0.83201 20.1% 15.7 326s
20966 5459 0.69749 83 291 0.69275 0.83201 20.1% 15.7 330s
20972 5463 0.79755 91 303 0.69275 0.83201 20.1% 15.7 335s
20975 5465 0.70937 159 294 0.69275 0.83201 20.1% 15.7 340s
20980 5469 0.73460 74 294 0.69275 0.83201 20.1% 15.7 345s
20986 5473 0.72852 115 291 0.69275 0.83201 20.1% 15.7 350s
20989 5475 0.81741 103 296 0.69275 0.83201 20.1% 15.7 356s
20990 5476 infeasible 24 0.69275 0.83201 20.1% 18.7 365s
20992 5476 0.83201 25 289 0.69275 0.83201 20.1% 18.7 375s
20994 5474 infeasible 26 0.69275 0.83150 20.0% 18.8 385s
H21019 5202 0.6927526 0.82906 19.7% 19.1 389s
21023 5203 0.77254 34 214 0.69275 0.82906 19.7% 19.1 390s
21090 5202 0.69803 38 182 0.69275 0.82781 19.5% 19.6 395s
21137 5202 0.77856 38 239 0.69275 0.82645 19.3% 20.0 400s
21226 5183 infeasible 43 0.69275 0.82287 18.8% 20.8 405s
21357 5158 infeasible 33 0.69275 0.81648 17.9% 21.6 411s
21439 5162 0.80817 39 222 0.69275 0.81549 17.7% 22.1 415s
21553 5155 0.75250 47 244 0.69275 0.81549 17.7% 22.8 420s
21748 5153 0.79079 41 217 0.69275 0.80800 16.6% 23.3 425s
21894 5159 cutoff 56 0.69275 0.80609 16.4% 24.0 430s
22173 5216 infeasible 50 0.69275 0.80149 15.7% 24.5 435s
22515 5280 0.69657 118 40 0.69275 0.79881 15.3% 25.0 440s
22787 5294 infeasible 51 0.69275 0.79066 14.1% 25.7 445s
23120 5273 0.73148 50 203 0.69275 0.78483 13.3% 26.4 451s
23412 5287 0.77847 55 181 0.69275 0.78116 12.8% 26.9 456s
23747 5262 0.77119 55 179 0.69275 0.77827 12.3% 27.5 460s
23943 5272 0.70001 51 185 0.69275 0.77554 12.0% 27.7 466s
24020 5233 0.71083 46 189 0.69275 0.77293 11.6% 28.1 472s
24518 5221 0.75503 58 165 0.69275 0.77169 11.4% 28.5 477s
24711 5212 infeasible 49 0.69275 0.76684 10.7% 28.8 480s
25305 5232 0.74651 52 152 0.69275 0.76365 10.2% 29.1 487s
25634 5224 0.72301 54 122 0.69275 0.76211 10.0% 29.3 490s
26158 5176 infeasible 73 0.69275 0.75810 9.43% 29.9 500s
26476 5080 0.75053 61 149 0.69275 0.75442 8.90% 30.2 506s
27024 4943 infeasible 63 0.69275 0.75155 8.49% 30.6 513s
27469 4877 0.72690 56 142 0.69275 0.74852 8.05% 30.6 516s
28188 4661 infeasible 62 0.69275 0.74172 7.07% 31.0 522s
28538 4547 infeasible 55 0.69275 0.73797 6.53% 31.1 526s
29030 4449 infeasible 55 0.69275 0.73464 6.05% 31.2 530s
29744 4242 infeasible 54 0.69275 0.72969 5.33% 31.4 535s
30253 4000 0.70986 65 87 0.69275 0.72584 4.78% 31.7 540s
30876 3807 cutoff 72 0.69275 0.72261 4.31% 31.8 545s
31489 3532 0.71440 67 108 0.69275 0.71993 3.92% 31.9 550s
32202 3215 infeasible 67 0.69275 0.71600 3.36% 32.0 556s
32966 2875 infeasible 79 0.69275 0.71247 2.85% 31.9 560s
33643 2574 cutoff 52 0.69275 0.70945 2.41% 31.9 568s
33684 2465 0.70201 77 63 0.69275 0.70926 2.38% 31.9 570s
34470 2100 infeasible 82 0.69275 0.70641 1.97% 31.8 575s
35429 1603 0.69953 86 59 0.69275 0.70310 1.49% 31.7 580s
36366 941 infeasible 77 0.69275 0.69981 1.02% 31.5 585s
Cutting planes:
Learned: 2
Gomory: 208
Cover: 35
Implied bound: 50
Projected implied bound: 53
Clique: 23
MIR: 271
StrongCG: 3
Flow cover: 779
Flow path: 5
GUB cover: 3
Inf proof: 102
Zero half: 1
Explored 36478 nodes (1151370 simplex iterations) in 585.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.692753 0.692753 0.692753 ... 0.692753
Optimal solution found (tolerance 1.00e-02)
Best objective 6.927525846543e-01, best bound 6.991352247064e-01, gap 0.9213%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps5uoojlk.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmguoy_35.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.688589
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.197472e+00, 1227 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19747 0 107 0.68859 1.19747 73.9% - 0s
0 0 1.18432 0 150 0.68859 1.18432 72.0% - 0s
0 0 1.18326 0 147 0.68859 1.18326 71.8% - 0s
0 0 1.14818 0 174 0.68859 1.14818 66.7% - 0s
0 0 1.14112 0 182 0.68859 1.14112 65.7% - 0s
0 0 1.12818 0 174 0.68859 1.12818 63.8% - 0s
0 0 1.12802 0 171 0.68859 1.12802 63.8% - 0s
0 0 1.12660 0 182 0.68859 1.12660 63.6% - 0s
0 0 1.12652 0 187 0.68859 1.12652 63.6% - 0s
0 0 1.12648 0 191 0.68859 1.12648 63.6% - 0s
0 0 1.12648 0 193 0.68859 1.12648 63.6% - 0s
0 0 1.12648 0 192 0.68859 1.12648 63.6% - 0s
0 0 1.12648 0 150 0.68859 1.12648 63.6% - 0s
0 2 1.12648 0 143 0.68859 1.12648 63.6% - 0s
741 473 0.89552 28 146 0.68859 1.07406 56.0% 25.3 5s
787 490 1.01325 22 127 0.68859 1.06111 54.1% 34.1 10s
1689 691 0.89626 25 152 0.68859 1.03729 50.6% 33.3 16s
H 1698 663 0.6885890 1.03729 50.6% 33.2 16s
2503 889 0.95246 23 150 0.68859 1.02313 48.6% 34.3 20s
H 2685 963 0.6885979 1.02033 48.2% 33.5 22s
3367 1239 0.93178 25 146 0.68860 1.00574 46.1% 32.5 25s
5471 2156 0.83257 67 108 0.68860 0.97556 41.7% 27.7 30s
7557 2616 0.87215 51 112 0.68860 0.94896 37.8% 24.8 35s
10549 3476 infeasible 43 0.68860 0.91324 32.6% 20.6 40s
13337 4190 infeasible 54 0.68860 0.89152 29.5% 18.8 45s
H15602 4781 0.6885979 0.87889 27.6% 18.0 49s
15603 4780 0.75443 74 106 0.68860 0.87889 27.6% 18.0 51s
17022 5098 0.71439 71 113 0.68860 0.87010 26.4% 17.4 55s
20112 5600 infeasible 76 0.68860 0.84848 23.2% 16.5 60s
20961 5742 0.70505 63 150 0.68860 0.84268 22.4% 16.3 81s
20972 5749 0.73546 87 229 0.68860 0.84268 22.4% 16.3 85s
20980 5755 0.74063 67 247 0.68860 0.84268 22.4% 16.3 91s
20988 5760 0.74852 53 262 0.68860 0.84268 22.4% 16.3 95s
20995 5765 0.77638 86 253 0.68860 0.84268 22.4% 16.3 100s
21000 5768 0.73230 71 274 0.68860 0.84268 22.4% 16.3 105s
21004 5771 0.75547 68 283 0.68860 0.84268 22.4% 16.3 110s
21009 5774 0.76787 65 279 0.68860 0.84268 22.4% 16.3 115s
21017 5779 0.73448 109 277 0.68860 0.84268 22.4% 16.3 120s
21022 5783 0.71856 105 274 0.68860 0.84268 22.4% 16.3 125s
21027 5786 0.81676 69 286 0.68860 0.84268 22.4% 16.3 130s
21030 5788 0.72944 56 288 0.68860 0.84268 22.4% 16.3 135s
21034 5791 0.78869 67 286 0.68860 0.84268 22.4% 16.3 140s
21038 5793 0.81659 83 292 0.68860 0.84268 22.4% 16.3 145s
21042 5796 0.83145 83 289 0.68860 0.84268 22.4% 16.3 150s
21046 5799 0.77943 71 290 0.68860 0.84268 22.4% 16.3 155s
21050 5801 0.74344 90 294 0.68860 0.84268 22.4% 16.2 161s
21054 5804 0.74357 132 294 0.68860 0.84268 22.4% 16.2 165s
21057 5806 0.70030 137 293 0.68860 0.84268 22.4% 16.2 170s
21063 5810 0.81319 58 297 0.68860 0.84268 22.4% 16.2 175s
21069 5814 0.70265 63 293 0.68860 0.84268 22.4% 16.2 180s
21075 5818 0.77327 62 280 0.68860 0.84268 22.4% 16.2 185s
21078 5820 0.77512 61 280 0.68860 0.84268 22.4% 16.2 191s
21082 5823 0.76384 72 282 0.68860 0.84268 22.4% 16.2 195s
21089 5827 0.81552 70 287 0.68860 0.84268 22.4% 16.2 200s
21093 5830 0.72858 61 285 0.68860 0.84268 22.4% 16.2 205s
21098 5833 0.78108 79 288 0.68860 0.84268 22.4% 16.2 210s
21101 5835 0.81965 63 275 0.68860 0.84268 22.4% 16.2 215s
21105 5838 0.77742 56 279 0.68860 0.84268 22.4% 16.2 220s
21108 5840 0.81181 81 266 0.68860 0.84268 22.4% 16.2 227s
H21109 5546 0.6885979 0.84268 22.4% 16.2 231s
21113 5548 0.73239 77 266 0.68860 0.84268 22.4% 16.2 235s
21116 5550 0.81177 70 273 0.68860 0.84268 22.4% 16.2 240s
Cutting planes:
Learned: 1
Gomory: 132
Cover: 18
Implied bound: 17
Projected implied bound: 30
Clique: 7
MIR: 107
StrongCG: 6
Flow cover: 246
Inf proof: 11
Zero half: 1
Explored 21117 nodes (387810 simplex iterations) in 244.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.688598 0.688598 0.688598 ... 0.688589
Optimal solution found (tolerance 1.00e-02)
Best objective 6.885979234370e-01, best bound 6.885979234370e-01, gap 0.0000%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67002tej.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwdgy1oiw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x3857_ by 0.999999013
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.175203e+00, 1225 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17520 0 108 - 1.17520 - - 0s
Another try with MIP start
H 0 0 0.6761883 1.17520 73.8% - 0s
0 0 1.16540 0 142 0.67619 1.16540 72.3% - 0s
0 0 1.16344 0 144 0.67619 1.16344 72.1% - 0s
0 0 1.14120 0 167 0.67619 1.14120 68.8% - 0s
0 0 1.14027 0 170 0.67619 1.14027 68.6% - 0s
0 0 1.12562 0 155 0.67619 1.12562 66.5% - 0s
0 0 1.12384 0 170 0.67619 1.12384 66.2% - 0s
0 0 1.11900 0 158 0.67619 1.11900 65.5% - 0s
0 0 1.11887 0 171 0.67619 1.11887 65.5% - 0s
0 0 1.11840 0 168 0.67619 1.11840 65.4% - 0s
0 0 1.11722 0 181 0.67619 1.11722 65.2% - 0s
0 0 1.11683 0 175 0.67619 1.11683 65.2% - 0s
0 0 1.11676 0 174 0.67619 1.11676 65.2% - 0s
0 0 1.11656 0 175 0.67619 1.11656 65.1% - 0s
0 0 1.11656 0 174 0.67619 1.11656 65.1% - 0s
0 0 1.11656 0 178 0.67619 1.11656 65.1% - 0s
0 0 1.11656 0 179 0.67619 1.11656 65.1% - 0s
0 0 1.11656 0 138 0.67619 1.11656 65.1% - 0s
0 2 1.11656 0 138 0.67619 1.11656 65.1% - 0s
764 543 0.98458 48 144 0.67619 1.06758 57.9% 25.1 5s
895 575 infeasible 29 0.67619 1.05958 56.7% 32.4 10s
2107 847 infeasible 35 0.67619 1.03191 52.6% 25.6 16s
3389 1294 0.79709 28 193 0.67619 1.00699 48.9% 22.6 20s
5414 1844 0.85415 54 156 0.67619 0.97025 43.5% 21.1 25s
7920 2715 0.82236 72 111 0.67619 0.93215 37.9% 19.8 30s
10404 3098 infeasible 68 0.67619 0.89579 32.5% 18.2 35s
12690 3382 infeasible 68 0.67619 0.86799 28.4% 17.3 40s
H12692 3382 0.6761883 0.86740 28.3% 17.3 40s
14704 3537 infeasible 66 0.67619 0.84688 25.2% 16.8 45s
17128 3817 infeasible 79 0.67619 0.82505 22.0% 16.4 50s
20071 4307 0.80592 71 105 0.67619 0.80720 19.4% 16.1 55s
20769 4460 0.71225 65 138 0.67619 0.80411 18.9% 16.0 75s
20778 4466 0.74012 80 196 0.67619 0.80411 18.9% 16.0 80s
20785 4471 0.73463 93 204 0.67619 0.80411 18.9% 16.0 85s
20790 4474 0.69518 85 215 0.67619 0.80411 18.9% 15.9 90s
20797 4479 0.78472 66 205 0.67619 0.80411 18.9% 15.9 96s
20801 4481 0.76180 36 216 0.67619 0.80411 18.9% 15.9 100s
20806 4485 0.72621 90 211 0.67619 0.80411 18.9% 15.9 105s
20809 4487 0.71735 111 217 0.67619 0.80411 18.9% 15.9 110s
20812 4489 0.72141 93 234 0.67619 0.80411 18.9% 15.9 116s
20816 4491 0.78406 69 237 0.67619 0.80411 18.9% 15.9 120s
20820 4494 0.79456 76 206 0.67619 0.80411 18.9% 15.9 125s
20825 4497 0.69518 85 214 0.67619 0.80411 18.9% 15.9 131s
20827 4499 0.69256 111 224 0.67619 0.80411 18.9% 15.9 136s
20831 4501 0.74966 78 230 0.67619 0.80411 18.9% 15.9 140s
20833 4503 0.69136 70 237 0.67619 0.80411 18.9% 15.9 145s
20837 4505 0.75120 73 236 0.67619 0.80411 18.9% 15.9 150s
20840 4507 0.74482 45 245 0.67619 0.80411 18.9% 15.9 155s
20843 4509 0.71416 86 242 0.67619 0.80411 18.9% 15.9 160s
20846 4511 0.74238 81 240 0.67619 0.80411 18.9% 15.9 165s
20851 4515 0.73362 62 230 0.67619 0.80411 18.9% 15.9 170s
20855 4517 0.78186 83 239 0.67619 0.80411 18.9% 15.9 175s
20859 4520 0.69568 72 244 0.67619 0.80411 18.9% 15.9 180s
20862 4522 0.69689 206 239 0.67619 0.80411 18.9% 15.9 185s
20866 4525 0.79326 126 245 0.67619 0.80411 18.9% 15.9 190s
20871 4528 0.68776 103 251 0.67619 0.80411 18.9% 15.9 195s
20875 4531 0.73855 80 262 0.67619 0.80411 18.9% 15.9 200s
20878 4533 0.74012 80 252 0.67619 0.80411 18.9% 15.9 205s
20882 4535 0.71566 117 255 0.67619 0.80411 18.9% 15.9 210s
20886 4538 0.77423 110 254 0.67619 0.80411 18.9% 15.9 215s
20890 4541 0.69518 85 261 0.67619 0.80411 18.9% 15.9 220s
20895 4544 0.77029 76 271 0.67619 0.80411 18.9% 15.9 225s
20899 4547 0.68761 104 274 0.67619 0.80411 18.9% 15.9 231s
20902 4549 0.75744 105 267 0.67619 0.80411 18.9% 15.9 235s
20906 4551 0.72621 90 272 0.67619 0.80411 18.9% 15.9 240s
20909 4553 0.71735 111 271 0.67619 0.80411 18.9% 15.9 245s
20913 4556 0.77970 80 248 0.67619 0.80411 18.9% 15.9 251s
20916 4558 0.78406 69 270 0.67619 0.80411 18.9% 15.9 255s
20919 4560 0.74722 101 272 0.67619 0.80411 18.9% 15.8 260s
20925 4564 0.69518 85 268 0.67619 0.80411 18.9% 15.8 265s
20928 4566 0.68788 109 269 0.67619 0.80411 18.9% 15.8 270s
20931 4568 0.74966 78 275 0.67619 0.80411 18.9% 15.8 275s
20935 4571 0.71385 81 277 0.67619 0.80411 18.9% 15.8 281s
20939 4573 0.73359 120 277 0.67619 0.80411 18.9% 15.8 286s
20942 4575 0.69005 215 278 0.67619 0.80411 18.9% 15.8 290s
20947 4579 0.69231 77 279 0.67619 0.80411 18.9% 15.8 295s
20951 4581 0.73362 62 279 0.67619 0.80411 18.9% 15.8 300s
20955 4584 0.78186 83 281 0.67619 0.80411 18.9% 15.8 305s
20959 4587 0.69568 72 280 0.67619 0.80411 18.9% 15.8 311s
20963 4589 0.73418 84 287 0.67619 0.80411 18.9% 15.8 315s
20967 4592 0.72351 98 284 0.67619 0.80411 18.9% 15.8 320s
20972 4595 0.69346 99 285 0.67619 0.80411 18.9% 15.8 325s
20976 4598 0.68463 70 292 0.67619 0.80411 18.9% 15.8 330s
20981 4601 0.69141 33 284 0.67619 0.80411 18.9% 15.8 336s
20984 4603 0.77971 83 287 0.67619 0.80411 18.9% 15.8 340s
20988 4606 0.69281 107 291 0.67619 0.80411 18.9% 15.8 345s
20993 4609 0.70314 83 286 0.67619 0.80411 18.9% 15.8 350s
20997 4612 0.78472 66 287 0.67619 0.80411 18.9% 15.8 356s
20999 4615 0.80369 29 222 0.67619 0.80411 18.9% 18.2 367s
21001 4615 0.77520 30 200 0.67619 0.80411 18.9% 18.2 375s
21060 4604 infeasible 40 0.67619 0.80411 18.9% 18.6 380s
21176 4599 cutoff 54 0.67619 0.80411 18.9% 19.1 386s
21249 4624 infeasible 40 0.67619 0.80411 18.9% 20.0 390s
21373 4661 0.77169 48 201 0.67619 0.80411 18.9% 20.4 396s
21467 4677 0.79706 43 203 0.67619 0.80411 18.9% 21.0 401s
21543 4686 infeasible 42 0.67619 0.80411 18.9% 21.6 405s
21675 4678 0.77011 44 213 0.67619 0.80411 18.9% 22.4 410s
21729 4661 cutoff 47 0.67619 0.80411 18.9% 23.3 415s
H21844 4420 0.6761883 0.80411 18.9% 23.6 419s
21845 4414 0.72574 54 185 0.67619 0.80411 18.9% 23.6 420s
22101 4432 infeasible 47 0.67619 0.80400 18.9% 24.3 425s
22352 4414 0.72960 44 226 0.67619 0.79954 18.2% 25.1 431s
22494 4382 0.79306 47 243 0.67619 0.79798 18.0% 25.8 435s
22605 4377 0.77265 51 212 0.67619 0.79798 18.0% 26.1 440s
23045 4415 0.68164 85 103 0.67619 0.79321 17.3% 27.1 446s
23266 4382 cutoff 50 0.67619 0.79127 17.0% 28.2 451s
23490 4363 0.75657 57 157 0.67619 0.78711 16.4% 29.1 456s
23937 4367 infeasible 62 0.67619 0.78246 15.7% 29.6 461s
24299 4338 0.75324 50 156 0.67619 0.78091 15.5% 30.1 467s
24526 4306 0.72435 66 150 0.67619 0.77824 15.1% 30.5 470s
25084 4314 0.75424 59 144 0.67619 0.77519 14.6% 31.1 477s
25278 4333 0.69374 63 142 0.67619 0.77079 14.0% 31.1 480s
25902 4305 0.73572 67 136 0.67619 0.76577 13.2% 31.8 487s
26171 4259 0.68679 93 77 0.67619 0.76512 13.2% 32.2 491s
26636 4256 0.73095 64 168 0.67619 0.76032 12.4% 32.3 495s
27041 4216 infeasible 65 0.67619 0.75738 12.0% 32.6 500s
27915 4000 infeasible 64 0.67619 0.75048 11.0% 33.2 507s
28378 3886 infeasible 61 0.67619 0.74694 10.5% 33.4 511s
28802 3792 cutoff 63 0.67619 0.74443 10.1% 33.5 516s
29407 3635 infeasible 59 0.67619 0.74084 9.56% 33.6 520s
30420 3436 cutoff 63 0.67619 0.73450 8.62% 33.8 526s
31072 3188 0.72706 56 125 0.67619 0.72827 7.70% 33.9 531s
31467 3058 cutoff 56 0.67619 0.72576 7.33% 33.9 535s
32237 2819 0.71966 59 105 0.67619 0.72100 6.63% 33.9 540s
33002 2573 0.68257 66 124 0.67619 0.71619 5.92% 33.9 546s
33923 2194 0.70995 69 79 0.67619 0.70995 4.99% 33.9 551s
34555 2119 0.70766 71 71 0.67619 0.70766 4.65% 33.8 555s
35010 2129 0.69062 74 60 0.67619 0.70524 4.30% 33.6 560s
35841 2022 infeasible 67 0.67619 0.70059 3.61% 33.5 566s
36671 1876 infeasible 73 0.67619 0.69682 3.05% 33.4 570s
37380 1698 infeasible 81 0.67619 0.69356 2.57% 33.3 575s
38532 1307 infeasible 96 0.67619 0.68778 1.71% 33.1 580s
Cutting planes:
Learned: 1
Gomory: 183
Cover: 18
Implied bound: 41
Projected implied bound: 46
Clique: 15
MIR: 217
StrongCG: 3
Flow cover: 674
Flow path: 7
Inf proof: 119
Explored 39483 nodes (1298636 simplex iterations) in 583.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.676188 0.676188 0.676188
Optimal solution found (tolerance 1.00e-02)
Best objective 6.761883338295e-01, best bound 6.827233818957e-01, gap 0.9665%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl80nsppr.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkx48uvzr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.666183
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.168200e+00, 1243 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16820 0 110 0.66618 1.16820 75.4% - 0s
0 0 1.15787 0 146 0.66618 1.15787 73.8% - 0s
0 0 1.15594 0 147 0.66618 1.15594 73.5% - 0s
0 0 1.12408 0 185 0.66618 1.12408 68.7% - 0s
0 0 1.12191 0 188 0.66618 1.12191 68.4% - 0s
0 0 1.11031 0 194 0.66618 1.11031 66.7% - 0s
0 0 1.10782 0 196 0.66618 1.10782 66.3% - 0s
0 0 1.10073 0 189 0.66618 1.10073 65.2% - 0s
0 0 1.09973 0 196 0.66618 1.09973 65.1% - 0s
0 0 1.09767 0 190 0.66618 1.09767 64.8% - 0s
0 0 1.09634 0 195 0.66618 1.09634 64.6% - 0s
0 0 1.09508 0 195 0.66618 1.09508 64.4% - 0s
0 0 1.09500 0 196 0.66618 1.09500 64.4% - 0s
0 0 1.09479 0 196 0.66618 1.09479 64.3% - 0s
0 0 1.09477 0 198 0.66618 1.09477 64.3% - 0s
0 0 1.09474 0 198 0.66618 1.09474 64.3% - 0s
0 0 1.09473 0 196 0.66618 1.09473 64.3% - 0s
0 0 1.09461 0 196 0.66618 1.09461 64.3% - 0s
0 0 1.09461 0 147 0.66618 1.09461 64.3% - 0s
0 2 1.09461 0 145 0.66618 1.09461 64.3% - 0s
747 573 0.92996 44 160 0.66618 1.07817 61.8% 25.3 5s
764 584 0.92164 28 169 0.66618 1.04968 57.6% 24.7 10s
777 590 1.04297 16 192 0.66618 1.04325 56.6% 36.2 15s
1052 640 infeasible 27 0.66618 1.04031 56.2% 42.8 20s
1285 652 0.99047 26 167 0.66618 1.02837 54.4% 47.8 26s
H 1309 619 0.6666993 1.02837 54.2% 47.3 26s
1949 823 infeasible 50 0.66670 1.01321 52.0% 44.1 30s
* 2238 886 234 0.6670663 1.01039 51.5% 41.1 31s
H 2281 897 0.6676063 1.01033 51.3% 41.6 33s
2377 952 0.77374 54 158 0.66761 1.00996 51.3% 41.1 35s
3372 1579 0.92435 24 230 0.66761 1.00105 49.9% 39.7 40s
3690 1726 0.96056 31 199 0.66761 0.99667 49.3% 40.6 45s
4238 1931 0.80605 37 196 0.66761 0.99153 48.5% 40.9 50s
5007 2148 infeasible 25 0.66761 0.97887 46.6% 41.1 55s
5661 2270 0.90167 44 175 0.66761 0.96748 44.9% 41.2 60s
6885 2728 infeasible 29 0.66761 0.95272 42.7% 38.1 65s
H 8152 3256 0.6676063 0.94125 41.0% 35.4 68s
H 8698 3489 0.6681227 0.93718 40.3% 34.4 71s
9354 3701 0.85622 52 133 0.66812 0.93067 39.3% 33.2 75s
10963 4132 infeasible 34 0.66812 0.91223 36.5% 30.7 80s
12338 4042 infeasible 34 0.66812 0.88634 32.7% 29.3 85s
13366 4113 infeasible 37 0.66812 0.87052 30.3% 28.1 90s
14751 4298 0.71250 85 79 0.66812 0.85405 27.8% 26.5 95s
16501 4516 0.80648 42 119 0.66812 0.83006 24.2% 24.9 100s
17830 4591 infeasible 49 0.66812 0.81605 22.1% 23.9 105s
20527 5146 0.80302 49 102 0.66812 0.80302 20.2% 22.4 110s
21316 5440 0.67800 69 108 0.66812 0.80258 20.1% 21.9 131s
H21990 5686 0.6681227 0.80198 20.0% 21.6 133s
22171 5619 0.72980 76 106 0.66812 0.79854 19.5% 21.6 135s
24241 6114 infeasible 60 0.66812 0.79172 18.5% 21.4 140s
25909 6291 0.72273 48 124 0.66812 0.78485 17.5% 21.4 146s
27408 6536 0.71533 64 116 0.66812 0.77991 16.7% 21.4 150s
29357 6877 cutoff 85 0.66812 0.77564 16.1% 21.4 155s
30236 6796 infeasible 55 0.66812 0.77203 15.6% 21.7 160s
31630 6871 infeasible 49 0.66812 0.76760 14.9% 21.8 165s
32702 6757 infeasible 67 0.66812 0.76288 14.2% 22.2 170s
33905 6759 0.72348 49 140 0.66812 0.75907 13.6% 22.4 175s
35227 6707 cutoff 58 0.66812 0.75443 12.9% 22.6 180s
36280 6538 infeasible 69 0.66812 0.75018 12.3% 22.8 185s
37572 6406 infeasible 86 0.66812 0.74530 11.6% 23.2 190s
38660 6278 0.71145 53 122 0.66812 0.74086 10.9% 23.3 195s
39766 6141 infeasible 109 0.66812 0.73659 10.2% 23.5 200s
41054 6151 infeasible 69 0.66812 0.73221 9.59% 23.5 205s
42231 5953 infeasible 54 0.66812 0.72727 8.85% 23.7 210s
43096 5764 infeasible 59 0.66812 0.72348 8.29% 23.8 215s
44498 5634 infeasible 88 0.66812 0.71914 7.64% 23.8 220s
46241 5562 0.68063 59 103 0.66812 0.71440 6.93% 23.7 225s
47564 5361 infeasible 73 0.66812 0.71031 6.31% 23.7 230s
48615 5198 infeasible 68 0.66812 0.70792 5.96% 23.8 235s
49946 5199 infeasible 88 0.66812 0.70494 5.51% 23.7 240s
51507 5105 infeasible 123 0.66812 0.70166 5.02% 23.6 245s
52732 4839 cutoff 92 0.66812 0.69889 4.61% 23.6 250s
54090 4590 0.67950 52 110 0.66812 0.69589 4.16% 23.6 255s
55285 4381 cutoff 59 0.66812 0.69313 3.74% 23.6 260s
56585 4207 0.68495 131 87 0.66812 0.69090 3.41% 23.5 265s
57566 3900 cutoff 89 0.66812 0.68880 3.09% 23.5 270s
59074 3342 infeasible 68 0.66812 0.68562 2.62% 23.4 275s
60421 2989 infeasible 85 0.66812 0.68363 2.32% 23.3 280s
61919 2531 cutoff 54 0.66812 0.68106 1.94% 23.2 285s
63426 1959 cutoff 147 0.66812 0.67867 1.58% 23.1 290s
64987 1214 cutoff 81 0.66812 0.67549 1.10% 22.9 295s
Cutting planes:
Gomory: 90
Cover: 250
Implied bound: 61
Projected implied bound: 58
Clique: 1
MIR: 151
StrongCG: 1
Flow cover: 476
Flow path: 4
Inf proof: 351
Explored 65396 nodes (1499092 simplex iterations) in 296.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.668123 0.668123 0.667606 ... 0.666183
Optimal solution found (tolerance 1.00e-02)
Best objective 6.681227053382e-01, best bound 6.744926660047e-01, gap 0.9534%
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4e6xm7q7.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp13duo4tn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.664503
Presolve removed 793 rows and 493 columns
Presolve time: 0.05s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.156922e+00, 1298 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15692 0 112 0.66450 1.15692 74.1% - 0s
0 0 1.14680 0 150 0.66450 1.14680 72.6% - 0s
0 0 1.14490 0 154 0.66450 1.14490 72.3% - 0s
0 0 1.11660 0 178 0.66450 1.11660 68.0% - 0s
0 0 1.11221 0 182 0.66450 1.11221 67.4% - 0s
0 0 1.09782 0 179 0.66450 1.09782 65.2% - 0s
0 0 1.09757 0 179 0.66450 1.09757 65.2% - 0s
0 0 1.09679 0 186 0.66450 1.09679 65.1% - 0s
0 0 1.09541 0 189 0.66450 1.09541 64.8% - 0s
0 0 1.09491 0 183 0.66450 1.09491 64.8% - 0s
0 0 1.09488 0 184 0.66450 1.09488 64.8% - 0s
0 0 1.09485 0 187 0.66450 1.09485 64.8% - 0s
0 0 1.09485 0 187 0.66450 1.09485 64.8% - 0s
0 0 1.09485 0 186 0.66450 1.09485 64.8% - 0s
0 0 1.09485 0 143 0.66450 1.09485 64.8% - 0s
0 2 1.09485 0 142 0.66450 1.09485 64.8% - 0s
736 542 0.96895 31 178 0.66450 1.05778 59.2% 28.0 5s
764 562 1.05616 13 162 0.66450 1.05778 59.2% 35.2 10s
1104 642 0.99375 46 168 0.66450 1.04998 58.0% 40.0 15s
1915 683 0.68486 75 98 0.66450 1.02459 54.2% 40.3 20s
2866 778 infeasible 46 0.66450 1.00306 50.9% 39.0 25s
H 2877 778 0.6649511 1.00306 50.8% 39.1 25s
4108 996 0.67581 60 147 0.66495 0.97226 46.2% 35.8 30s
5163 1238 0.90169 47 166 0.66495 0.94420 42.0% 34.4 35s
H 5196 1248 0.6649511 0.94420 42.0% 34.3 35s
7167 1948 infeasible 60 0.66495 0.91122 37.0% 31.1 40s
H 8274 2364 0.6649511 0.90420 36.0% 29.6 43s
H 8619 2523 0.6649511 0.90062 35.4% 29.3 43s
8944 2540 0.87242 57 151 0.66495 0.89501 34.6% 29.2 46s
10421 3021 infeasible 47 0.66495 0.88390 32.9% 27.5 51s
12378 3623 infeasible 69 0.66495 0.87223 31.2% 25.6 56s
14941 4606 infeasible 65 0.66495 0.86274 29.7% 23.4 61s
16105 4718 infeasible 55 0.66495 0.85390 28.4% 23.1 65s
18286 5069 infeasible 39 0.66495 0.83636 25.8% 22.1 70s
20040 5260 0.72035 85 85 0.66495 0.81847 23.1% 21.5 75s
20990 5513 0.69084 69 143 0.66495 0.81302 22.3% 21.1 97s
21000 5520 0.70254 176 265 0.66495 0.81302 22.3% 21.1 100s
21006 5524 0.72643 80 253 0.66495 0.81302 22.3% 21.1 106s
21011 5527 0.74574 103 246 0.66495 0.81302 22.3% 21.1 110s
21016 5530 0.67785 60 257 0.66495 0.81302 22.3% 21.1 115s
21024 5536 0.70985 89 263 0.66495 0.81302 22.3% 21.1 121s
21031 5540 0.74816 75 267 0.66495 0.81302 22.3% 21.1 125s
21035 5543 0.69272 63 280 0.66495 0.81302 22.3% 21.1 130s
Cutting planes:
Learned: 2
Gomory: 94
Cover: 13
Implied bound: 30
Projected implied bound: 35
Clique: 9
MIR: 68
StrongCG: 2
Flow cover: 221
Inf proof: 18
Explored 21040 nodes (462671 simplex iterations) in 135.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.664951 0.664951 0.664951 ... 0.664503
Optimal solution found (tolerance 1.00e-02)
Best objective 6.649511401995e-01, best bound 6.649511401995e-01, gap 0.0000%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy6ntqvcj.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplbladuk2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.657912
Presolve removed 806 rows and 501 columns
Presolve time: 0.06s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.144246e+00, 1220 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14425 0 115 0.65791 1.14425 73.9% - 0s
0 0 1.12915 0 152 0.65791 1.12915 71.6% - 0s
0 0 1.12732 0 156 0.65791 1.12732 71.3% - 0s
0 0 1.10346 0 187 0.65791 1.10346 67.7% - 0s
0 0 1.10229 0 195 0.65791 1.10229 67.5% - 0s
0 0 1.08799 0 184 0.65791 1.08799 65.4% - 0s
0 0 1.08721 0 194 0.65791 1.08721 65.3% - 0s
0 0 1.08493 0 199 0.65791 1.08493 64.9% - 0s
0 0 1.08489 0 202 0.65791 1.08489 64.9% - 0s
0 0 1.08339 0 201 0.65791 1.08339 64.7% - 0s
0 0 1.08322 0 199 0.65791 1.08322 64.6% - 0s
0 0 1.08272 0 204 0.65791 1.08272 64.6% - 0s
0 0 1.08268 0 201 0.65791 1.08268 64.6% - 0s
0 0 1.08259 0 201 0.65791 1.08259 64.5% - 0s
0 0 1.08259 0 201 0.65791 1.08259 64.5% - 0s
0 0 1.08259 0 200 0.65791 1.08259 64.5% - 0s
0 0 1.08259 0 158 0.65791 1.08259 64.5% - 0s
0 2 1.08259 0 148 0.65791 1.08259 64.5% - 1s
784 603 1.05045 5 153 0.65791 1.05189 59.9% 22.3 5s
864 644 0.98675 30 152 0.65791 1.02578 55.9% 31.3 10s
1953 974 infeasible 31 0.65791 1.00760 53.2% 28.1 15s
H 2655 1092 0.6579120 0.98942 50.4% 28.8 18s
2957 1258 0.87737 20 146 0.65791 0.98208 49.3% 28.9 20s
4619 2105 infeasible 43 0.65791 0.96083 46.0% 26.4 25s
6355 2843 infeasible 47 0.65791 0.94459 43.6% 24.9 30s
8121 3339 0.78150 70 134 0.65791 0.92895 41.2% 24.1 37s
9385 3614 0.76044 50 131 0.65791 0.91287 38.8% 23.2 40s
11664 4031 infeasible 49 0.65791 0.89036 35.3% 21.8 45s
14597 4490 infeasible 49 0.65791 0.86827 32.0% 19.9 50s
15963 4818 0.77210 46 120 0.65791 0.86001 30.7% 19.2 55s
18913 5343 0.74033 57 133 0.65791 0.84290 28.1% 18.1 60s
21125 5518 0.73759 112 158 0.65791 0.82434 25.3% 17.5 82s
21132 5523 0.73515 62 247 0.65791 0.82434 25.3% 17.5 85s
21141 5529 0.81876 43 258 0.65791 0.82434 25.3% 17.5 91s
21149 5534 0.76300 105 277 0.65791 0.82434 25.3% 17.5 95s
21154 5537 0.71124 113 266 0.65791 0.82434 25.3% 17.4 100s
21161 5542 0.81300 41 256 0.65791 0.82434 25.3% 17.4 106s
21168 5547 0.81613 49 287 0.65791 0.82434 25.3% 17.4 110s
21173 5550 0.76241 59 283 0.65791 0.82434 25.3% 17.4 115s
21180 5555 0.66932 82 282 0.65791 0.82434 25.3% 17.4 120s
21190 5561 0.78843 54 290 0.65791 0.82434 25.3% 17.4 125s
21195 5565 0.68024 102 291 0.65791 0.82434 25.3% 17.4 130s
21200 5568 0.77633 74 289 0.65791 0.82434 25.3% 17.4 135s
Cutting planes:
Learned: 2
Gomory: 102
Cover: 6
Implied bound: 27
Projected implied bound: 23
Clique: 13
MIR: 76
StrongCG: 1
Flow cover: 247
Flow path: 1
Inf proof: 21
Explored 21203 nodes (390212 simplex iterations) in 139.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.657912 0.657912
Optimal solution found (tolerance 1.00e-02)
Best objective 6.579120473066e-01, best bound 6.579120473066e-01, gap 0.0000%
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4n6rwvjr.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr0kcw1v7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [7e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.65496
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.134587e+00, 1344 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13459 0 116 0.65496 1.13459 73.2% - 0s
0 0 1.12367 0 154 0.65496 1.12367 71.6% - 0s
0 0 1.12184 0 155 0.65496 1.12184 71.3% - 0s
0 0 1.09039 0 187 0.65496 1.09039 66.5% - 0s
0 0 1.08813 0 192 0.65496 1.08813 66.1% - 0s
0 0 1.07503 0 204 0.65496 1.07503 64.1% - 0s
0 0 1.07500 0 205 0.65496 1.07500 64.1% - 0s
0 0 1.07185 0 207 0.65496 1.07185 63.7% - 0s
0 0 1.07132 0 213 0.65496 1.07132 63.6% - 0s
0 0 1.06977 0 202 0.65496 1.06977 63.3% - 0s
0 0 1.06958 0 205 0.65496 1.06958 63.3% - 0s
0 0 1.06942 0 202 0.65496 1.06942 63.3% - 0s
0 0 1.06941 0 202 0.65496 1.06941 63.3% - 0s
0 0 1.06941 0 196 0.65496 1.06941 63.3% - 0s
0 0 1.06873 0 146 0.65496 1.06873 63.2% - 0s
0 2 1.06873 0 146 0.65496 1.06873 63.2% - 0s
765 583 0.98099 21 143 0.65496 1.03713 58.3% 23.7 5s
805 604 0.86148 22 196 0.65496 1.03477 58.0% 31.0 10s
1440 761 0.98343 25 166 0.65496 1.02045 55.8% 34.0 15s
2166 914 0.94197 39 185 0.65496 1.01153 54.4% 35.9 20s
3067 1226 0.78695 56 173 0.65496 1.00181 53.0% 36.0 25s
H 3428 1476 0.6563103 1.00181 52.6% 34.3 27s
3724 1456 0.91651 28 175 0.65631 0.99153 51.1% 34.5 30s
5054 1727 0.83495 57 164 0.65631 0.96118 46.5% 32.1 35s
6843 1929 infeasible 37 0.65631 0.92001 40.2% 28.2 40s
8203 2045 0.78276 67 124 0.65631 0.89867 36.9% 26.2 45s
10739 2866 0.69996 98 108 0.65631 0.86998 32.6% 23.2 50s
13599 4008 0.84227 89 132 0.65631 0.85618 30.5% 21.3 55s
16935 5054 infeasible 86 0.65631 0.84216 28.3% 19.8 61s
H16938 5054 0.6563103 0.84172 28.3% 19.8 61s
18528 5642 0.69730 91 72 0.65631 0.83630 27.4% 19.1 65s
21111 6584 0.75189 88 146 0.65631 0.82758 26.1% 18.1 92s
21120 6590 0.69973 83 279 0.65631 0.82758 26.1% 18.1 95s
21124 6593 0.77197 77 264 0.65631 0.82758 26.1% 18.1 100s
21128 6595 0.79992 82 255 0.65631 0.82758 26.1% 18.1 105s
21134 6599 0.75579 91 270 0.65631 0.82758 26.1% 18.0 110s
21139 6603 0.79704 80 272 0.65631 0.82758 26.1% 18.0 116s
21144 6606 0.68508 98 278 0.65631 0.82758 26.1% 18.0 120s
21150 6610 0.78967 66 295 0.65631 0.82758 26.1% 18.0 126s
21154 6613 0.80057 50 300 0.65631 0.82758 26.1% 18.0 131s
21157 6615 0.65855 67 311 0.65631 0.82758 26.1% 18.0 135s
21160 6617 0.74082 103 300 0.65631 0.82758 26.1% 18.0 141s
21163 6619 0.79858 73 317 0.65631 0.82758 26.1% 18.0 145s
21167 6621 0.73516 100 317 0.65631 0.82758 26.1% 18.0 150s
21170 6623 0.67120 109 309 0.65631 0.82758 26.1% 18.0 155s
21174 6626 0.67419 75 322 0.65631 0.82758 26.1% 18.0 160s
21178 6629 0.71283 70 308 0.65631 0.82758 26.1% 18.0 166s
21183 6632 0.68656 63 327 0.65631 0.82758 26.1% 18.0 171s
21187 6635 0.79288 81 319 0.65631 0.82758 26.1% 18.0 175s
21191 6637 0.71542 74 325 0.65631 0.82758 26.1% 18.0 180s
21193 6639 0.82247 56 340 0.65631 0.82758 26.1% 18.0 185s
21197 6641 0.72622 82 317 0.65631 0.82758 26.1% 18.0 191s
21199 6643 0.76821 59 330 0.65631 0.82758 26.1% 18.0 196s
21202 6645 0.72459 86 334 0.65631 0.82758 26.1% 18.0 200s
21206 6647 0.67831 74 308 0.65631 0.82758 26.1% 18.0 205s
21212 6651 0.71303 96 323 0.65631 0.82758 26.1% 18.0 210s
21216 6654 0.78076 69 338 0.65631 0.82758 26.1% 18.0 215s
21220 6657 0.69973 83 333 0.65631 0.82758 26.1% 18.0 220s
21225 6660 0.72334 75 332 0.65631 0.82758 26.1% 18.0 225s
21229 6663 0.82639 49 329 0.65631 0.82758 26.1% 18.0 231s
21232 6665 0.67600 100 340 0.65631 0.82758 26.1% 18.0 235s
21234 6666 0.75579 91 344 0.65631 0.82758 26.1% 18.0 240s
H21234 6330 0.6564660 0.82758 26.1% 18.0 242s
21237 6332 0.73119 101 336 0.65647 0.82758 26.1% 18.0 245s
21241 6335 0.80506 62 338 0.65647 0.82758 26.1% 18.0 251s
21243 6336 0.74220 90 339 0.65647 0.82758 26.1% 18.0 255s
21247 6339 0.68870 98 344 0.65647 0.82758 26.1% 18.0 261s
21249 6340 0.79033 80 335 0.65647 0.82758 26.1% 18.0 265s
21253 6343 0.77998 60 340 0.65647 0.82758 26.1% 17.9 270s
H21253 6024 0.6564660 0.82758 26.1% 17.9 272s
H21256 5722 0.6564660 0.82758 26.1% 17.9 277s
21259 5724 0.69783 80 341 0.65647 0.82758 26.1% 17.9 282s
21261 5725 0.76634 48 340 0.65647 0.82758 26.1% 17.9 286s
21263 5726 0.79858 73 345 0.65647 0.82758 26.1% 17.9 290s
21266 5728 0.74967 71 352 0.65647 0.82758 26.1% 17.9 295s
21269 5730 0.74602 115 342 0.65647 0.82758 26.1% 17.9 300s
21273 5733 0.76049 67 353 0.65647 0.82758 26.1% 17.9 305s
H21276 5445 0.6566077 0.82758 26.0% 17.9 311s
21280 5448 0.75912 66 359 0.65661 0.82758 26.0% 17.9 315s
21283 5450 0.68656 63 361 0.65661 0.82758 26.0% 17.9 321s
21286 5452 0.75819 68 358 0.65661 0.82758 26.0% 17.9 325s
21290 5454 0.70022 90 359 0.65661 0.82758 26.0% 17.9 330s
21294 5457 0.77948 80 361 0.65661 0.82758 26.0% 17.9 335s
21296 5458 0.76103 88 353 0.65661 0.82758 26.0% 17.9 340s
21299 5460 0.76821 59 351 0.65661 0.82758 26.0% 17.9 345s
21303 5463 0.76207 92 360 0.65661 0.82758 26.0% 17.9 351s
21306 5465 0.67831 74 352 0.65661 0.82758 26.0% 17.9 355s
21309 5467 0.75691 63 349 0.65661 0.82758 26.0% 17.9 361s
21311 5468 0.75189 88 346 0.65661 0.82758 26.0% 17.9 365s
21314 5470 0.71920 73 362 0.65661 0.82758 26.0% 17.9 370s
21317 5472 0.67368 179 357 0.65661 0.82758 26.0% 17.9 375s
21320 5474 0.69973 83 354 0.65661 0.82758 26.0% 17.9 380s
21322 5476 0.72573 72 349 0.65661 0.82758 26.0% 17.9 385s
21325 5478 0.72334 75 354 0.65661 0.82758 26.0% 17.9 390s
21329 5480 0.82639 49 358 0.65661 0.82758 26.0% 17.9 395s
21331 5482 0.77567 73 364 0.65661 0.82758 26.0% 17.9 400s
21335 5484 0.73835 67 337 0.65661 0.82758 26.0% 17.9 406s
Cutting planes:
Gomory: 115
Cover: 7
Implied bound: 24
Projected implied bound: 34
Clique: 12
MIR: 124
StrongCG: 4
Flow cover: 365
Flow path: 1
Inf proof: 12
Zero half: 1
Explored 21338 nodes (468422 simplex iterations) in 409.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.656608 0.656466 0.656466 ... 0.65496
Optimal solution found (tolerance 1.00e-02)
Best objective 6.566077163941e-01, best bound 6.566077163941e-01, gap 0.0000%
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8gvbwi4g.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpww_614mp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.646121
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.115522e+00, 1346 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11552 0 117 0.64612 1.11552 72.6% - 0s
0 0 1.10632 0 163 0.64612 1.10632 71.2% - 0s
0 0 1.10452 0 158 0.64612 1.10452 70.9% - 0s
0 0 1.07286 0 190 0.64612 1.07286 66.0% - 0s
0 0 1.06986 0 195 0.64612 1.06986 65.6% - 0s
0 0 1.06468 0 190 0.64612 1.06468 64.8% - 0s
0 0 1.06422 0 197 0.64612 1.06422 64.7% - 0s
0 0 1.05758 0 198 0.64612 1.05758 63.7% - 0s
0 0 1.05508 0 193 0.64612 1.05508 63.3% - 0s
0 0 1.05332 0 183 0.64612 1.05332 63.0% - 0s
0 0 1.05328 0 182 0.64612 1.05328 63.0% - 0s
0 0 1.05288 0 190 0.64612 1.05288 63.0% - 0s
0 0 1.05288 0 190 0.64612 1.05288 63.0% - 0s
0 0 1.05285 0 190 0.64612 1.05285 62.9% - 0s
0 0 1.05284 0 191 0.64612 1.05284 62.9% - 0s
0 0 1.05283 0 185 0.64612 1.05283 62.9% - 0s
0 0 1.05283 0 148 0.64612 1.05283 62.9% - 0s
0 2 1.05283 0 139 0.64612 1.05283 62.9% - 1s
752 557 0.90723 47 177 0.64612 1.02634 58.8% 25.5 5s
786 580 0.92181 68 176 0.64612 1.01570 57.2% 24.4 10s
904 625 infeasible 26 0.64612 1.00855 56.1% 35.7 15s
1303 666 infeasible 30 0.64612 0.99974 54.7% 39.1 20s
1837 619 0.87167 29 187 0.64612 0.98436 52.3% 40.1 25s
2825 666 0.91706 40 188 0.64612 0.95982 48.6% 39.7 30s
4638 1603 0.85598 58 143 0.64612 0.93518 44.7% 31.5 35s
6398 2386 0.75801 71 141 0.64612 0.92408 43.0% 28.5 41s
H 6401 2387 0.6461205 0.92408 43.0% 28.5 41s
7551 2767 0.67678 69 111 0.64612 0.90901 40.7% 27.2 45s
9605 3480 0.84515 53 129 0.64612 0.89647 38.7% 25.8 50s
11227 3913 infeasible 57 0.64612 0.88573 37.1% 25.0 55s
12785 4464 0.74082 66 134 0.64612 0.87709 35.7% 24.3 60s
15250 5150 infeasible 68 0.64612 0.86713 34.2% 23.4 65s
17274 5721 0.65697 68 80 0.64612 0.85692 32.6% 22.9 70s
H19354 6452 0.6461205 0.84832 31.3% 21.9 74s
H19356 6452 0.6461205 0.84832 31.3% 21.9 74s
19360 6434 0.73775 55 137 0.64612 0.84832 31.3% 21.9 76s
20009 6458 infeasible 94 0.64612 0.84574 30.9% 22.0 80s
20683 6699 0.69239 110 148 0.64612 0.84168 30.3% 21.8 105s
20696 6708 0.71415 108 284 0.64612 0.84168 30.3% 21.8 110s
20701 6711 0.65967 109 288 0.64612 0.84168 30.3% 21.8 116s
20706 6714 0.78860 61 288 0.64612 0.84168 30.3% 21.8 120s
20710 6717 0.69294 58 301 0.64612 0.84168 30.3% 21.8 125s
20716 6721 0.75245 73 315 0.64612 0.84168 30.3% 21.8 130s
20721 6724 0.77769 70 313 0.64612 0.84168 30.3% 21.8 135s
20725 6727 0.74549 84 312 0.64612 0.84168 30.3% 21.8 140s
20731 6731 0.66513 72 302 0.64612 0.84168 30.3% 21.8 146s
20734 6733 0.73916 76 315 0.64612 0.84168 30.3% 21.8 150s
20742 6738 0.79173 63 321 0.64612 0.84168 30.3% 21.8 155s
20746 6741 0.81753 61 336 0.64612 0.84168 30.3% 21.7 161s
20748 6742 0.77740 72 320 0.64612 0.84168 30.3% 21.7 166s
20751 6744 0.73813 62 326 0.64612 0.84168 30.3% 21.7 171s
20754 6746 0.80595 66 316 0.64612 0.84168 30.3% 21.7 175s
20758 6749 0.76756 61 317 0.64612 0.84168 30.3% 21.7 181s
20760 6750 0.78613 57 330 0.64612 0.84168 30.3% 21.7 185s
20762 6752 0.83477 55 327 0.64612 0.84168 30.3% 21.7 191s
20764 6753 0.78915 65 315 0.64612 0.84168 30.3% 21.7 198s
20766 6754 0.78097 57 335 0.64612 0.84168 30.3% 21.7 200s
20768 6756 0.66708 103 336 0.64612 0.84168 30.3% 21.7 205s
20770 6757 0.76769 77 325 0.64612 0.84168 30.3% 21.7 211s
20773 6759 0.81740 52 338 0.64612 0.84168 30.3% 21.7 217s
20775 6760 0.78722 43 328 0.64612 0.84168 30.3% 21.7 220s
20780 6764 0.67698 101 339 0.64612 0.84168 30.3% 21.7 226s
20783 6766 0.69239 110 348 0.64612 0.84168 30.3% 21.7 231s
20787 6768 0.74323 56 350 0.64612 0.84168 30.3% 21.7 235s
20790 6770 0.74508 61 347 0.64612 0.84168 30.3% 21.7 242s
20792 6772 0.68719 69 340 0.64612 0.84168 30.3% 21.7 246s
20794 6773 0.80584 66 343 0.64612 0.84168 30.3% 21.7 250s
20799 6776 0.81117 79 343 0.64612 0.84168 30.3% 21.7 255s
20803 6779 0.67907 120 337 0.64612 0.84168 30.3% 21.7 261s
20806 6781 0.78860 61 361 0.64612 0.84168 30.3% 21.7 265s
20810 6784 0.69294 58 352 0.64612 0.84168 30.3% 21.7 271s
20814 6786 0.80364 77 353 0.64612 0.84168 30.3% 21.7 275s
20818 6789 0.74380 75 348 0.64612 0.84168 30.3% 21.7 281s
20819 6790 0.83748 69 343 0.64612 0.84168 30.3% 21.7 285s
20822 6792 0.84061 73 352 0.64612 0.84168 30.3% 21.7 290s
20825 6794 0.74549 84 347 0.64612 0.84168 30.3% 21.7 295s
20828 6796 0.71102 92 346 0.64612 0.84168 30.3% 21.7 300s
20831 6798 0.66513 72 348 0.64612 0.84168 30.3% 21.7 305s
20834 6800 0.73916 76 386 0.64612 0.84168 30.3% 21.7 311s
20838 6802 0.74407 101 335 0.64612 0.84168 30.3% 21.7 317s
20840 6804 0.76373 78 341 0.64612 0.84168 30.3% 21.6 321s
20845 6807 0.67184 63 347 0.64612 0.84168 30.3% 21.6 327s
20848 6809 0.77740 72 343 0.64612 0.84168 30.3% 21.6 332s
20852 6812 0.75974 86 347 0.64612 0.84116 30.2% 21.6 337s
20857 6815 0.74670 76 348 0.64612 0.83901 29.9% 21.6 341s
20860 6817 0.78613 57 344 0.64612 0.83716 29.6% 21.6 345s
20864 6820 0.78915 65 344 0.64612 0.83552 29.3% 21.6 350s
20866 6821 0.78097 57 358 0.64612 0.83499 29.2% 21.6 355s
20869 6823 0.72973 91 359 0.64612 0.83480 29.2% 21.6 360s
20872 6825 0.79675 75 354 0.64612 0.83418 29.1% 21.6 366s
20876 6828 0.83350 63 357 0.64612 0.83350 29.0% 21.6 371s
20878 6829 0.82763 60 367 0.64612 0.83304 28.9% 21.6 375s
20880 6830 0.67698 101 371 0.64612 0.83257 28.9% 21.6 380s
20882 6832 0.71770 66 365 0.64612 0.83227 28.8% 21.6 385s
20885 6834 0.75543 90 366 0.64612 0.83203 28.8% 21.6 390s
20888 6836 0.70869 72 350 0.64612 0.83180 28.7% 21.6 397s
20890 6837 0.74508 61 366 0.64612 0.83156 28.7% 21.6 401s
20893 6839 0.68949 58 366 0.64612 0.83133 28.7% 21.6 406s
20897 6842 0.79197 62 0 0.64612 0.83088 28.6% 21.6 469s
20898 6842 0.66273 82 333 0.64612 0.80430 24.5% 21.6 514s
20899 6843 0.80430 79 333 0.64612 0.80430 24.5% 21.6 520s
20900 6846 postponed 23 0.64612 0.76652 18.6% 30.7 534s
20902 6847 postponed 24 0.64612 0.76652 18.6% 31.1 542s
20905 6849 postponed 25 0.64612 0.76652 18.6% 32.0 547s
20909 6850 postponed 26 0.64612 0.76652 18.6% 32.5 551s
20921 6851 postponed 27 0.64612 0.76652 18.6% 33.2 555s
20939 6850 0.74907 29 296 0.64612 0.76652 18.6% 34.0 563s
20955 6850 0.74520 32 273 0.64612 0.76652 18.6% 34.0 565s
21016 6856 0.71414 41 263 0.64612 0.76652 18.6% 34.0 570s
21059 6861 postponed 28 0.64612 0.76652 18.6% 34.8 575s
21139 6864 0.76652 29 312 0.64612 0.76652 18.6% 35.2 580s
21234 6866 infeasible 42 0.64612 0.76652 18.6% 36.3 585s
21310 6867 postponed 30 0.64612 0.76652 18.6% 37.8 591s
21359 6863 infeasible 32 0.64612 0.76652 18.6% 39.4 598s
21442 6860 infeasible 34 0.64612 0.76652 18.6% 40.5 600s
Cutting planes:
Learned: 1
Gomory: 97
Cover: 1
Implied bound: 19
Projected implied bound: 20
Clique: 2
MIR: 56
StrongCG: 4
Flow cover: 146
Inf proof: 5
Zero half: 1
Explored 21535 nodes (873711 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.646121 0.646121 0.646121 0.646121
Time limit reached
Best objective 6.461205397033e-01, best bound 7.665212883229e-01, gap 18.6344%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 2
Seed for training 988
Seed for simulation 796
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.00107575, 0. , 0. ]])
fopt: 0.23699344791199606
fun: -0.23699344790723353
message: 'Optimization terminated successfully.'
nfev: 335
nit: 3
status: 0
success: True
x: array([420.99999998, 2. , 2. ])
xopt: array([421., 2., 2.])
zopt: array([421., 423., 425.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv71jtvsi.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwswsocum.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.236993
Presolve removed 845 rows and 525 columns
Presolve time: 0.05s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.101713e+00, 1496 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10171 0 138 0.23699 1.10171 365% - 0s
0 0 1.07923 0 151 0.23699 1.07923 355% - 0s
0 0 1.07845 0 149 0.23699 1.07845 355% - 0s
0 0 1.07246 0 165 0.23699 1.07246 353% - 0s
0 0 1.07064 0 164 0.23699 1.07064 352% - 0s
0 0 1.06444 0 171 0.23699 1.06444 349% - 0s
0 0 1.06253 0 165 0.23699 1.06253 348% - 0s
0 0 1.06240 0 169 0.23699 1.06240 348% - 0s
0 0 1.06237 0 171 0.23699 1.06237 348% - 0s
0 0 1.06153 0 173 0.23699 1.06153 348% - 0s
0 0 1.06148 0 173 0.23699 1.06148 348% - 0s
0 0 1.06092 0 169 0.23699 1.06092 348% - 0s
0 0 1.06083 0 177 0.23699 1.06083 348% - 0s
0 0 1.06083 0 175 0.23699 1.06083 348% - 0s
0 0 1.06083 0 175 0.23699 1.06083 348% - 0s
0 0 1.06083 0 176 0.23699 1.06083 348% - 0s
0 0 1.06083 0 162 0.23699 1.06083 348% - 0s
0 2 1.06083 0 162 0.23699 1.06083 348% - 0s
762 495 0.76106 78 152 0.23699 0.98361 315% 13.9 5s
833 517 0.95511 22 164 0.23699 0.97628 312% 25.4 10s
1673 681 0.91214 43 154 0.23699 0.96623 308% 29.1 15s
2553 966 0.79014 31 175 0.23699 0.95975 305% 30.1 20s
3457 1414 0.89968 32 165 0.23699 0.95353 302% 32.0 25s
H 3918 1606 0.5866538 0.95039 62.0% 31.4 28s
4116 1706 0.92274 25 193 0.58665 0.94962 61.9% 31.2 30s
5030 2032 0.89469 27 177 0.58665 0.94096 60.4% 32.2 35s
6030 2094 0.70657 100 98 0.58665 0.91914 56.7% 31.8 40s
7733 2286 infeasible 32 0.58665 0.89094 51.9% 29.8 45s
9368 2481 infeasible 47 0.58665 0.86332 47.2% 26.9 50s
*11217 2781 176 0.6193178 0.84147 35.9% 24.8 54s
11910 3059 infeasible 52 0.61932 0.83094 34.2% 23.8 55s
*13131 3244 177 0.6258968 0.82305 31.5% 22.7 57s
14376 3772 infeasible 48 0.62590 0.80830 29.1% 21.4 60s
17589 4544 0.63215 112 56 0.62590 0.78002 24.6% 19.2 65s
21289 6221 0.67813 120 162 0.62590 0.76931 22.9% 17.2 90s
21304 6231 0.65749 137 187 0.62590 0.76931 22.9% 17.2 96s
21311 6236 0.67532 118 212 0.62590 0.76931 22.9% 17.2 100s
21316 6239 0.67861 77 212 0.62590 0.76931 22.9% 17.2 105s
21319 6241 0.65543 100 221 0.62590 0.76931 22.9% 17.2 110s
21323 6244 0.73963 56 227 0.62590 0.76931 22.9% 17.2 115s
21326 6246 0.69619 85 227 0.62590 0.76931 22.9% 17.2 120s
21331 6249 0.74410 63 230 0.62590 0.76931 22.9% 17.2 125s
21334 6251 0.74398 62 229 0.62590 0.76931 22.9% 17.2 131s
21337 6253 0.68495 81 241 0.62590 0.76931 22.9% 17.2 135s
21340 6255 0.74438 81 244 0.62590 0.76931 22.9% 17.2 140s
21344 6258 0.66767 101 247 0.62590 0.76931 22.9% 17.2 146s
21346 6259 0.75847 61 252 0.62590 0.76931 22.9% 17.2 150s
21350 6262 0.67393 89 267 0.62590 0.76931 22.9% 17.2 155s
21353 6264 0.76357 57 262 0.62590 0.76931 22.9% 17.2 161s
21355 6265 0.66250 105 268 0.62590 0.76931 22.9% 17.2 165s
21359 6268 0.73418 56 269 0.62590 0.76931 22.9% 17.2 170s
21361 6269 0.66646 79 278 0.62590 0.76931 22.9% 17.2 175s
21365 6272 0.62998 112 283 0.62590 0.76931 22.9% 17.2 181s
21367 6273 0.67532 118 278 0.62590 0.76931 22.9% 17.2 185s
21371 6276 0.68941 115 276 0.62590 0.76931 22.9% 17.2 191s
21373 6277 0.65034 90 272 0.62590 0.76931 22.9% 17.2 196s
21375 6278 0.69523 88 281 0.62590 0.76931 22.9% 17.2 200s
21378 6280 0.72538 79 281 0.62590 0.76931 22.9% 17.2 205s
21381 6282 0.68285 61 287 0.62590 0.76931 22.9% 17.2 211s
21383 6284 0.76681 59 282 0.62590 0.76931 22.9% 17.2 215s
21385 6285 0.70780 74 286 0.62590 0.76931 22.9% 17.2 220s
21388 6287 0.72125 71 290 0.62590 0.76931 22.9% 17.2 225s
21391 6289 0.64552 65 290 0.62590 0.76931 22.9% 17.2 231s
21393 6290 0.75631 64 293 0.62590 0.76931 22.9% 17.2 235s
21396 6292 0.68008 90 284 0.62590 0.76931 22.9% 17.2 240s
21398 6294 0.71505 55 292 0.62590 0.76931 22.9% 17.2 245s
21401 6296 0.71226 63 299 0.62590 0.76931 22.9% 17.2 250s
21405 6298 0.64713 90 303 0.62590 0.76931 22.9% 17.1 256s
21407 6300 0.70783 83 290 0.62590 0.76931 22.9% 17.1 261s
21409 6301 0.76069 59 302 0.62590 0.76931 22.9% 17.1 265s
21413 6304 0.65477 95 300 0.62590 0.76931 22.9% 17.1 272s
21415 6305 0.69245 82 291 0.62590 0.76931 22.9% 17.1 277s
21418 6307 0.63247 122 294 0.62590 0.76931 22.9% 17.1 283s
21420 6308 0.68303 53 303 0.62590 0.76931 22.9% 17.1 287s
H21421 5991 0.6258968 0.76931 22.9% 17.1 291s
21424 5993 0.65059 93 301 0.62590 0.76931 22.9% 17.1 295s
21426 5994 0.69619 85 300 0.62590 0.76931 22.9% 17.1 300s
21430 5997 0.67553 98 301 0.62590 0.76931 22.9% 17.1 306s
Cutting planes:
Learned: 5
Gomory: 126
Cover: 10
Implied bound: 26
Projected implied bound: 25
Clique: 10
MIR: 106
Flow cover: 285
GUB cover: 1
Inf proof: 14
Zero half: 1
Explored 21431 nodes (412074 simplex iterations) in 311.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.625897 0.625897 0.619318 ... 0.236993
Optimal solution found (tolerance 0.00e+00)
Best objective 6.258968465694e-01, best bound 6.258968465694e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpawkikn7e.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1agywgdi.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.01s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.5268314e+02 1.033649e+04 0.000000e+00 0s
355 1.1548964e+01 0.000000e+00 0.000000e+00 0s
Solved in 355 iterations and 0.02 seconds
Optimal objective 1.154896351e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.69403835e-03, 4.46078782e-03, 9.50236587e-05]])
fopt: 2.314282166625226
fun: -2.3383651219979287
message: 'Optimization terminated successfully.'
nfev: 143
nit: 2
status: 0
success: True
x: array([ 35.17144753, -87.99118454, -0.99142611])
xopt: array([35., 0., 0.])
zopt: array([35., 35., 35.])
*******************************************
Period: 3
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 2.136222144278642
fun: -2.148454652324763
message: 'Optimization terminated successfully.'
nfev: 270
nit: 2
status: 0
success: True
x: array([58.07134288, -0.99999999, 1. ])
xopt: array([58., 0., 1.])
zopt: array([58., 58., 59.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.92860148e-04, 4.90324559e-06, -1.77968431e-08]])
fopt: 2.017107919065776
fun: -2.0292236957732754
message: 'Optimization terminated successfully.'
nfev: 202
nit: 2
status: 0
success: True
x: array([79.15755818, -0.98710612, 1.00451737])
xopt: array([79., 0., 1.])
zopt: array([79., 79., 80.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.99304610e-03, -1.36473993e-09, -0.00000000e+00]])
fopt: 1.7851817505475898
fun: -1.7905074930702345
message: 'Optimization terminated successfully.'
nfev: 327
nit: 3
status: 0
success: True
x: array([95.21867259, 1.00001838, 1.00000032])
xopt: array([95., 1., 1.])
zopt: array([95., 96., 97.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.31353177e-01, -3.68272593e-05, -0.00000000e+00]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1598
nit: 3
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.87292136e-02, -2.18883088e-06, 2.94408149e-04]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1552
nit: 3
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.81243813e-05, -1.19973407e-07, -3.30230218e-11]])
fopt: 1.3739734289793897
fun: -1.3734069329201413
message: 'Optimization terminated successfully.'
nfev: 209
nit: 2
status: 0
success: True
x: array([156.74369042, 2.02878491, 1.00028284])
xopt: array([156., 3., 1.])
zopt: array([156., 159., 160.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1481
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.0616499840738045
fun: -1.0628552826009383
message: 'Optimization terminated successfully.'
nfev: 266
nit: 2
status: 0
success: True
x: array([192.11551633, 1.14589803, 1. ])
xopt: array([192., 1., 1.])
zopt: array([192., 193., 194.])
*******************************************
Period: 11
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.9630839372491515
fun: -0.9651694018244502
message: 'Optimization terminated successfully.'
nfev: 240
nit: 2
status: 0
success: True
x: array([192.14367692, 1.00813062, 1.00181677])
xopt: array([192., 1., 1.])
zopt: array([192., 193., 194.])
*******************************************
Period: 12
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.05862047e-05, 3.77228137e-07, 5.15314379e-14]])
fopt: 0.7878978758946007
fun: -0.7895865121129596
message: 'Optimization terminated successfully.'
nfev: 429
nit: 3
status: 0
success: True
x: array([191.47350556, 2.01793213, 1.00000022])
xopt: array([191., 2., 1.])
zopt: array([191., 193., 194.])
*******************************************
Period: 13
direc: array([[ 7.87875521e-05, 4.14865720e-07, 4.36402561e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.46718054e-20, -2.84748987e-22, -1.28239543e-06]])
fopt: 0.6700404830621464
fun: -0.6714887308401547
message: 'Optimization terminated successfully.'
nfev: 896
nit: 8
status: 0
success: True
x: array([190.91108058, 2.00000008, 12.04191159])
xopt: array([190., 3., 13.])
zopt: array([190., 193., 206.])
*******************************************
Period: 14
direc: array([[0.39546854, 0. , 0.00207496],
[0. , 1. , 0. ],
[0. , 0. , 1. ]])
fopt: 0.5649288708679832
fun: -0.5663253477145553
message: 'Optimization terminated successfully.'
nfev: 737
nit: 6
status: 0
success: True
x: array([191.98620244, 1.00691657, 7.00207496])
xopt: array([191., 2., 8.])
zopt: array([191., 193., 201.])
*******************************************
Period: 15
direc: array([[ 5.55723367e-03, 2.42778699e-09, 2.90907228e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.95775658e-08, -6.49803196e-07, 8.58348113e+01]])
fopt: 0.9275938683724739
fun: -0.9270552873980694
message: 'Optimization terminated successfully.'
nfev: 868
nit: 8
status: 0
success: True
x: array([192.02759971, 1.00006074, 96.91572074])
xopt: array([192., 1., 96.])
zopt: array([192., 193., 289.])
*******************************************
Period: 16
direc: array([[ 4.94807447e-04, 1.49956062e-15, 2.58932307e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.21302792e-03, -1.18035447e-14, 1.06316857e+02]])
fopt: 0.8807004778295521
fun: -0.8795575372236291
message: 'Optimization terminated successfully.'
nfev: 705
nit: 7
status: 0
success: True
x: array([191.99992034, 1.00397624, 116.31632421])
xopt: array([191., 2., 116.])
zopt: array([191., 193., 309.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, -5.53444306e-06, 1.00000000e+00],
[ 3.72168783e-01, 1.96273978e-03, 1.96273978e-03],
[-1.02217092e-02, -4.03311303e-04, 1.16503661e+02]])
fopt: 0.8640281925333533
fun: -0.8661345945623572
message: 'Optimization terminated successfully.'
nfev: 842
nit: 9
status: 0
success: True
x: array([191.31398161, 2.0024735 , 135.00104603])
xopt: array([191., 2., 135.])
zopt: array([191., 193., 328.])
*******************************************
Period: 18
direc: array([[ 1.30535836e-04, 8.20167859e-07, 6.86691008e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.95943159e-21, 5.43705593e-23, -1.22431615e-07]])
fopt: 0.28150440034305885
fun: -0.2827230550214293
message: 'Optimization terminated successfully.'
nfev: 523
nit: 4
status: 0
success: True
x: array([191.0941244 , 2.19437769, 4.00000056])
xopt: array([191., 2., 5.])
zopt: array([191., 193., 198.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 170.70350507]])
fopt: 0.7855685846370745
fun: -0.7850415331869998
message: 'Optimization terminated successfully.'
nfev: 564
nit: 7
status: 0
success: True
x: array([191.15384137, 2.00000064, 177. ])
xopt: array([191., 2., 177.])
zopt: array([191., 193., 370.])
*******************************************
Period: 20
direc: array([[ 2.19365092e-02, 1.15446573e-04, 1.15446573e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.44308275e-07, -2.86530679e-09, -2.63756853e-05]])
fopt: 0.15337223588872395
fun: -0.15478206755597518
message: 'Optimization terminated successfully.'
nfev: 314
nit: 3
status: 0
success: True
x: array([191.03626089, 2.00011517, 3.06292999])
xopt: array([191., 2., 4.])
zopt: array([191., 193., 197.])
*******************************************
Period: 21
direc: array([[ 7.79348811e-05, 3.30643809e-09, 4.06665061e-07],
[ 7.79348806e-05, -6.65462224e-06, 1.00000041e+00],
[ 1.72406499e-02, -4.10021628e-04, 2.20896266e+02]])
fopt: 0.7404008145540706
fun: -0.7390103225223242
message: 'Optimization terminated successfully.'
nfev: 543
nit: 5
status: 0
success: True
x: array([192.66145991, 1.00771023, 225.90445798])
xopt: array([192., 1., 225.])
zopt: array([192., 193., 418.])
*******************************************
Period: 22
direc: array([[4.70195117e-01, 2.47427577e-03, 2.47427577e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 2.18963949e+02]])
fopt: 0.7167112220872347
fun: -0.7150239775917131
message: 'Optimization terminated successfully.'
nfev: 721
nit: 8
status: 0
success: True
x: array([190.99951727, 2.00000106, 225.00014053])
xopt: array([190., 3., 225.])
zopt: array([190., 193., 418.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 216.24321673]])
fopt: 0.7131715802066743
fun: -0.7145818735501033
message: 'Optimization terminated successfully.'
nfev: 461
nit: 5
status: 0
success: True
x: array([192.17059365, 1.00029055, 221.08269052])
xopt: array([192., 1., 221.])
zopt: array([192., 193., 414.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0.20275283, 121.11310687],
[ 0. , -38.03479458, 46.79983508]])
fopt: 0.1675270207413615
fun: -0.620597227077146
message: 'Optimization terminated successfully.'
nfev: 610
nit: 9
status: 0
success: True
x: array([272.07095772, -79.23454092, 217. ])
xopt: array([272., 0., 217.])
zopt: array([272., 272., 489.])
*******************************************
Period: 25
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 3.56322832e-04, 9.17703896e-01]])
fopt: 0.09643252345584184
fun: -0.09539513618723812
message: 'Optimization terminated successfully.'
nfev: 448
nit: 5
status: 0
success: True
x: array([271.37762736, 2.00867862, 4.01963305])
xopt: array([271., 2., 5.])
zopt: array([271., 273., 278.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.11788356e-04, 4.12228155e-07, 8.28234686e-07],
[-3.98511063e-03, -1.46954018e-05, 1.27136558e+02]])
fopt: 0.3683288668320782
fun: -0.3632072475064609
message: 'Optimization terminated successfully.'
nfev: 465
nit: 6
status: 0
success: True
x: array([272.17693271, 2.99998578, 135.14370549])
xopt: array([272., 2., 135.])
zopt: array([272., 274., 409.])
*******************************************
Period: 27
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 8.73489051e-07, 1.29999558e+02]])
fopt: 0.3997031041518651
fun: -0.4003405488162483
message: 'Optimization terminated successfully.'
nfev: 356
nit: 4
status: 0
success: True
x: array([271.18256527, 1.02128714, 134.00494936])
xopt: array([271., 1., 135.])
zopt: array([271., 272., 407.])
*******************************************
Period: 28
direc: array([[ 1.64274183e-02, 6.05414162e-05, 1.26254778e-04],
[-5.71311851e-01, 5.33002540e+01, 3.64079254e+01],
[-8.52350826e-02, -1.98599892e+00, -5.03678033e-02]])
fopt: 0.33974568999769716
fun: -0.33882111796083786
message: 'Optimization terminated successfully.'
nfev: 688
nit: 9
status: 0
success: True
x: array([237.28177773, 98.0002521 , 71.48455272])
xopt: array([237., 98., 72.])
zopt: array([237., 335., 407.])
*******************************************
Period: 29
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 2.00000003, 4.03074667]])
fopt: 0.3357361185069277
fun: -0.33383404322613847
message: 'Optimization terminated successfully.'
nfev: 551
nit: 8
status: 0
success: True
x: array([271.76857503, 45.00025701, 87.08823199])
xopt: array([271., 45., 88.])
zopt: array([271., 316., 404.])
*******************************************
Period: 30
direc: array([[ 8.75096359e-04, 3.19909941e-06, 6.43111749e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.17114397e-03, 1.10036512e+01, 8.25593129e+00]])
fopt: 0.29712729191466425
fun: -0.29613946962603577
message: 'Optimization terminated successfully.'
nfev: 568
nit: 8
status: 0
success: True
x: array([273.22443238, 57.00012426, 45.01198554])
xopt: array([273., 57., 46.])
zopt: array([273., 330., 376.])
*******************************************
Period: 31
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 8.00122572, 5.33415048]])
fopt: 0.29962362938809073
fun: -0.29830557501478044
message: 'Optimization terminated successfully.'
nfev: 399
nit: 6
status: 0
success: True
x: array([272.21836037, 70. , 48.07917335])
xopt: array([272., 70., 49.])
zopt: array([272., 342., 391.])
*******************************************
Period: 32
direc: array([[2.99501977e-04, 1.09946913e-06, 2.20237319e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.81949278e-03, 5.80942613e+01, 3.70683213e+01]])
fopt: 0.3394918412877534
fun: -0.3365510408412775
message: 'Optimization terminated successfully.'
nfev: 408
nit: 5
status: 0
success: True
x: array([266.94909847, 64. , 43.02223158])
xopt: array([266., 64., 44.])
zopt: array([266., 330., 374.])
*******************************************
Period: 33
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 4.53103747e-04, 4.48572710e-04]])
fopt: 0.1943614210391725
fun: -0.19294784855628222
message: 'Optimization terminated successfully.'
nfev: 414
nit: 5
status: 0
success: True
x: array([272.25579413, 5.00043263, 4.00980786])
xopt: array([272., 6., 5.])
zopt: array([272., 278., 283.])
*******************************************
Period: 34
direc: array([[ 5.26933956e-07, 1.93627826e-09, 3.90365954e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.19752955855908985
fun: -0.1962883348424887
message: 'Optimization terminated successfully.'
nfev: 523
nit: 5
status: 0
success: True
x: array([273.13751734, 3. , 5.00606331])
xopt: array([273., 4., 6.])
zopt: array([273., 277., 283.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 40.19116669, 82.46822077]])
fopt: 0.40089037712469877
fun: -0.39990332328269584
message: 'Optimization terminated successfully.'
nfev: 333
nit: 4
status: 0
success: True
x: array([273.49268321, 43.00061958, 87.55200599])
xopt: array([273., 43., 88.])
zopt: array([273., 316., 404.])
*******************************************
Period: 36
direc: array([[9.55713507e-09, 3.51442605e-11, 7.07699324e-11],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.17647041e-07, 3.91930444e+01, 7.88338712e+01]])
fopt: 0.6784933089005893
fun: -0.6777118809291357
message: 'Optimization terminated successfully.'
nfev: 420
nit: 6
status: 0
success: True
x: array([150.0328396 , 84.05753972, 164.00887281])
xopt: array([150., 84., 165.])
zopt: array([150., 234., 399.])
*******************************************
Period: 37
direc: array([[8.60308338e-01, 3.13947920e-03, 6.35715113e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.27684107e+01, 4.41489521e+01, 2.92716433e+01]])
fopt: 0.3348903955194787
fun: -0.3335027225177213
message: 'Optimization terminated successfully.'
nfev: 503
nit: 6
status: 0
success: True
x: array([289.00240021, 50.00018183, 35.28211881])
xopt: array([289., 50., 36.])
zopt: array([289., 339., 375.])
*******************************************
Period: 38
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 37.36946284, 74.94980147]])
fopt: 0.4082298201527705
fun: -0.40619878303183926
message: 'Optimization terminated successfully.'
nfev: 370
nit: 5
status: 0
success: True
x: array([272.60532453, 42. , 81.03101679])
xopt: array([272., 42., 82.])
zopt: array([272., 314., 396.])
*******************************************
Period: 39
direc: array([[-1.60341888e+02, 0.00000000e+00, 1.16264233e+02],
[ 9.00031162e-03, 4.60792339e+01, 4.63292307e+01],
[-2.92451141e+00, 2.00000000e+00, 2.12056924e+00]])
fopt: 0.788231542237647
fun: -0.7879258768649202
message: 'Optimization terminated successfully.'
nfev: 1095
nit: 13
status: 0
success: True
x: array([123.00015145, 70. , 216.15304983])
xopt: array([123., 70., 216.])
zopt: array([123., 193., 409.])
*******************************************
Period: 40
direc: array([[ 2.59449291e-03, -1.56772079e-10, -4.38552608e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, -0.00000000e+00]])
fopt: 0.21819552861964753
fun: -0.21599477148937193
message: 'Optimization terminated successfully.'
nfev: 446
nit: 4
status: 0
success: True
x: array([367.98407284, 2.00000004, 4.06457172])
xopt: array([367., 2., 5.])
zopt: array([367., 369., 374.])
*******************************************
Period: 41
direc: array([[-2.63725737, 0. , 2.01635036],
[ 0. , 1. , 0. ],
[ 0.53790847, 11.21882382, 49.37226089]])
fopt: 0.7169230894934706
fun: -0.7161635042500294
message: 'Optimization terminated successfully.'
nfev: 609
nit: 8
status: 0
success: True
x: array([177.70974728, 16.00000839, 206.00000005])
xopt: array([177., 17., 206.])
zopt: array([177., 194., 400.])
*******************************************
Period: 42
direc: array([[-4.45671613e+01, 5.41014635e+01, 6.42920105e+01],
[-7.02301796e+00, 8.32807409e-01, 1.00938401e+01],
[-3.98941216e-01, -5.26746071e-02, -5.28170041e-06]])
fopt: 0.7830670575545277
fun: -0.7818523788397782
message: 'Optimization terminated successfully.'
nfev: 687
nit: 9
status: 0
success: True
x: array([118.75988426, 75.06915964, 214. ])
xopt: array([118., 76., 214.])
zopt: array([118., 194., 408.])
*******************************************
Period: 43
direc: array([[ 0. , 33.95094006, 31.54431389],
[ 0. , 1. , 0. ],
[-5.25306659, 2.01247637, 3.65117957]])
fopt: 0.7520969676719681
fun: -0.751342944028802
message: 'Optimization terminated successfully.'
nfev: 692
nit: 9
status: 0
success: True
x: array([133.32260318, 61. , 213.0957683 ])
xopt: array([133., 61., 213.])
zopt: array([133., 194., 407.])
*******************************************
Period: 44
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.83149547e+02, 0.00000000e+00, 1.19315572e+02],
[ 2.45849839e-03, 4.30526226e+01, 4.11230114e+01]])
fopt: 0.7345033959249087
fun: -0.7334998913242029
message: 'Optimization terminated successfully.'
nfev: 831
nit: 11
status: 0
success: True
x: array([138. , 56. , 212.00006483])
xopt: array([137., 57., 212.])
zopt: array([137., 194., 406.])
*******************************************
Period: 45
direc: array([[-0.08251861, 0. , 0.17881541],
[ 0. , 1. , 0. ],
[-1.85685531, 0.05270084, 0.0094716 ]])
fopt: 0.3794432424358726
fun: -0.3772658492414257
message: 'Optimization terminated successfully.'
nfev: 491
nit: 6
status: 0
success: True
x: array([302.99999997, 3.00000421, 68.00000025])
xopt: array([302., 3., 69.])
zopt: array([302., 305., 374.])
*******************************************
Period: 46
direc: array([[-5.95291979, -3.05352566, 6.04171773],
[ 0. , 1. , 0. ],
[ 0.07249614, -0.07613831, -0.13214053]])
fopt: 0.6830843248691157
fun: -0.6828606294313488
message: 'Optimization terminated successfully.'
nfev: 713
nit: 8
status: 0
success: True
x: array([182.49407923, 14.15669038, 213.1260739 ])
xopt: array([182., 14., 213.])
zopt: array([182., 196., 409.])
*******************************************
Period: 47
direc: array([[ 3.19899993e-01, 1.54529797e+01, 5.60493572e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.41578942e-06, -1.58207915e-06, -3.16909011e-06]])
fopt: 0.6925291155905434
fun: -0.6910719249943134
message: 'Optimization terminated successfully.'
nfev: 720
nit: 8
status: 0
success: True
x: array([172.5925206 , 24. , 210.00294862])
xopt: array([172., 25., 211.])
zopt: array([172., 197., 408.])
*******************************************
Period: 48
direc: array([[ 0. , 0. , 1. ],
[ 0.14554775, 43.62347677, 41.04188613],
[-4.49013462, 2.78151251, 6.57999008]])
fopt: 0.7139293777046789
fun: -0.7134690930436725
message: 'Optimization terminated successfully.'
nfev: 739
nit: 9
status: 0
success: True
x: array([133.41745937, 62.00560027, 213. ])
xopt: array([133., 63., 213.])
zopt: array([133., 196., 409.])
*******************************************
Period: 49
direc: array([[-2.80719356, 0. , 2.03318673],
[ 0. , 1. , 0. ],
[ 0.8928226 , 0.99696199, 3.03598929]])
fopt: 0.6699868501405568
fun: -0.6691772071750616
message: 'Optimization terminated successfully.'
nfev: 598
nit: 8
status: 0
success: True
x: array([172.93659465, 21.00124203, 213. ])
xopt: array([172., 22., 213.])
zopt: array([172., 194., 407.])
*******************************************
Period: 50
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-283.67575925, 208.36627471, 208.36627471]])
fopt: 0.6443894168526557
fun: -0.6443651295203131
message: 'Optimization terminated successfully.'
nfev: 388
nit: 6
status: 0
success: True
x: array([ 82.24037261, 213.01232983, 114.00052937])
xopt: array([ 82., 213., 114.])
zopt: array([ 82., 295., 409.])
*******************************************
Period: 51
direc: array([[-2.62227974e+01, 1.32420522e+01, 1.32420522e+01],
[-8.97824387e-09, -2.10345862e-06, -4.27593378e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00]])
fopt: 0.6807259337896412
fun: -0.6795933556753169
message: 'Optimization terminated successfully.'
nfev: 795
nit: 9
status: 0
success: True
x: array([ 78.41655552, 156. , 154.01970441])
xopt: array([ 78., 156., 155.])
zopt: array([ 78., 234., 389.])
*******************************************
Period: 52
direc: array([[ -0.5346768 , 1. , 1. ],
[ 0. , 1. , 0. ],
[-282.85488584, 188.01234525, 125.3415635 ]])
fopt: 0.646933612389103
fun: -0.6459063613988754
message: 'Optimization terminated successfully.'
nfev: 377
nit: 5
status: 0
success: True
x: array([ 82.09755518, 195.00000155, 131.34133586])
xopt: array([ 82., 195., 132.])
zopt: array([ 82., 277., 409.])
*******************************************
Period: 53
direc: array([[-2.09209995e+02, 8.10595902e+01, 8.38867160e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.02091412e-03, 9.07935719e+00, 1.81583329e+01]])
fopt: 0.6832958392965787
fun: -0.6826450504097678
message: 'Optimization terminated successfully.'
nfev: 673
nit: 9
status: 0
success: True
x: array([ 83.01228358, 145. , 180.05756176])
xopt: array([ 83., 145., 181.])
zopt: array([ 83., 228., 409.])
*******************************************
Period: 54
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-283.21563394, 174.36984292, 174.36984292]])
fopt: 0.6459241202506308
fun: -0.6478675270746321
message: 'Optimization terminated successfully.'
nfev: 536
nit: 7
status: 0
success: True
x: array([ 82.06899379, 180.00023019, 148.19555636])
xopt: array([ 82., 180., 148.])
zopt: array([ 82., 262., 410.])
*******************************************
Period: 55
direc: array([[-15.03602209, 6.03112206, 6.03112206],
[ 0. , 1. , 0. ],
[ 0.55128476, 21.11602008, 58.41871398]])
fopt: 0.6777630672698899
fun: -0.6769639703918617
message: 'Optimization terminated successfully.'
nfev: 462
nit: 7
status: 0
success: True
x: array([ 78.91311642, 144. , 187.00084269])
xopt: array([ 78., 144., 187.])
zopt: array([ 78., 222., 409.])
*******************************************
Period: 56
direc: array([[ 3.28669991e+00, 1.56690118e+01, 2.55705447e+00],
[-3.71695353e+01, 2.10086436e+01, 1.40057624e+01],
[-2.91141779e-04, 2.56938508e-03, 4.83336764e-04]])
fopt: 0.6139767079043772
fun: -0.6125322874217214
message: 'Optimization terminated successfully.'
nfev: 634
nit: 8
status: 0
success: True
x: array([ 80.5127002 , 190.00912466, 116.10668413])
xopt: array([ 81., 191., 117.])
zopt: array([ 81., 272., 389.])
*******************************************
Period: 57
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-281.82109315, 153.3767387 , 153.3767387 ]])
fopt: 0.6463615431956802
fun: -0.645194350728537
message: 'Optimization terminated successfully.'
nfev: 809
nit: 9
status: 0
success: True
x: array([ 82.66534172, 161. , 165.00003152])
xopt: array([ 82., 161., 166.])
zopt: array([ 82., 243., 409.])
*******************************************
Period: 58
direc: array([[-21.06139646, 10.16063794, 10.16063794],
[ 0. , 1. , 0. ],
[ 0.13000947, 8.02190399, 15.14540686]])
fopt: 0.6399464799397709
fun: -0.6391157848605932
message: 'Optimization terminated successfully.'
nfev: 514
nit: 8
status: 0
success: True
x: array([ 81.80639599, 157. , 170.43885997])
xopt: array([ 82., 157., 170.])
zopt: array([ 82., 239., 409.])
*******************************************
Period: 59
direc: array([[-1.87185323e+01, 9.11571594e+00, 9.11571594e+00],
[-3.71776712e-07, -3.13141345e-05, -7.29617299e-05],
[-2.04811156e-03, 8.00099740e+00, 9.97162899e-04]])
fopt: 0.6145827755018914
fun: -0.6142092899533531
message: 'Optimization terminated successfully.'
nfev: 1066
nit: 13
status: 0
success: True
x: array([ 77.84853453, 168.00000001, 149.0141535 ])
xopt: array([ 77., 168., 150.])
zopt: array([ 77., 245., 395.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjp8nftye.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu8v02ph2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbbbbj2_t.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplbwfqqpp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869633
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.314282e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3142822 2.31428 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.31428 0.869633
Optimal solution found (tolerance 1.00e-02)
Best objective 2.314282166625e+00, best bound 2.314282166625e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfwz7_ckj.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpncnc6ocs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30582
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.324764e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.32476 0 3 1.30582 2.32476 78.0% - 0s
H 0 0 2.1374880 2.32476 8.76% - 0s
0 0 cutoff 0 2.13749 2.13749 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.13749 1.30582
Optimal solution found (tolerance 1.00e-02)
Best objective 2.137488047551e+00, best bound 2.137488047551e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9bi1ejhy.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3xu0ugqc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.34058
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 2.377358e+00, 33 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.37736 0 8 1.34058 2.37736 77.3% - 0s
H 0 0 2.0180573 2.37736 17.8% - 0s
0 0 2.05914 0 1 2.01806 2.05914 2.04% - 0s
0 0 cutoff 0 2.01806 2.01806 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (45 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.01806 1.34058
Optimal solution found (tolerance 1.00e-02)
Best objective 2.018057346520e+00, best bound 2.018057346520e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp05iyef7s.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_5rf3gph.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.45038
Presolve removed 145 rows and 100 columns
Presolve time: 0.01s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 2.329996e+00, 50 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33000 0 3 1.45038 2.33000 60.6% - 0s
H 0 0 1.9046575 2.33000 22.3% - 0s
0 0 1.94658 0 1 1.90466 1.94658 2.20% - 0s
0 0 1.94658 0 1 1.90466 1.94658 2.20% - 0s
0 0 1.94658 0 1 1.90466 1.94658 2.20% - 0s
0 0 1.93786 0 4 1.90466 1.93786 1.74% - 0s
0 0 1.93304 0 3 1.90466 1.93304 1.49% - 0s
0 0 1.92668 0 3 1.90466 1.92668 1.16% - 0s
0 0 1.92523 0 3 1.90466 1.92523 1.08% - 0s
0 0 1.92523 0 1 1.90466 1.92523 1.08% - 0s
0 0 cutoff 0 1.90466 1.90466 0.00% - 0s
Cutting planes:
MIR: 1
Flow cover: 2
Explored 1 nodes (92 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.90466 1.45038
Optimal solution found (tolerance 1.00e-02)
Best objective 1.904657458949e+00, best bound 1.904657458949e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplpqsn4os.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyzu8nyy8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.45371
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.571249e+00, 99 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.57125 0 8 1.45371 2.57125 76.9% - 0s
0 0 2.05038 0 8 1.45371 2.05038 41.0% - 0s
0 0 2.05031 0 8 1.45371 2.05031 41.0% - 0s
0 0 2.04381 0 5 1.45371 2.04381 40.6% - 0s
0 0 2.04328 0 4 1.45371 2.04328 40.6% - 0s
0 0 2.01850 0 7 1.45371 2.01850 38.9% - 0s
0 0 2.01222 0 6 1.45371 2.01222 38.4% - 0s
0 0 1.99256 0 7 1.45371 1.99256 37.1% - 0s
0 0 1.98849 0 7 1.45371 1.98849 36.8% - 0s
0 0 1.98849 0 7 1.45371 1.98849 36.8% - 0s
H 0 0 1.8796125 1.98849 5.79% - 0s
0 0 1.98849 0 7 1.87961 1.98849 5.79% - 0s
0 0 1.98849 0 7 1.87961 1.98849 5.79% - 0s
0 0 1.98809 0 7 1.87961 1.98809 5.77% - 0s
0 0 1.97815 0 9 1.87961 1.97815 5.24% - 0s
H 0 0 1.8869707 1.97815 4.83% - 0s
0 2 1.97815 0 9 1.88697 1.97815 4.83% - 0s
H 8 2 1.9221106 1.93854 0.85% 3.1 0s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 2
Clique: 1
MIR: 2
Flow cover: 6
Explored 9 nodes (233 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.92211 1.88697 1.87961 1.45371
Optimal solution found (tolerance 1.00e-02)
Best objective 1.922110633715e+00, best bound 1.934923258588e+00, gap 0.6666%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpotoewpma.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp305enx7k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.52173
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.540893e+00, 119 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.54089 0 12 1.52173 2.54089 67.0% - 0s
H 0 0 1.6634808 2.54089 52.7% - 0s
0 0 2.28112 0 18 1.66348 2.28112 37.1% - 0s
0 0 2.27958 0 20 1.66348 2.27958 37.0% - 0s
0 0 1.98687 0 12 1.66348 1.98687 19.4% - 0s
0 0 1.98235 0 12 1.66348 1.98235 19.2% - 0s
0 0 1.98160 0 12 1.66348 1.98160 19.1% - 0s
0 0 1.97101 0 13 1.66348 1.97101 18.5% - 0s
0 0 1.97095 0 13 1.66348 1.97095 18.5% - 0s
0 0 1.96850 0 13 1.66348 1.96850 18.3% - 0s
0 0 1.96850 0 11 1.66348 1.96850 18.3% - 0s
H 0 0 1.8894535 1.96850 4.18% - 0s
0 1 1.96850 0 11 1.88945 1.96850 4.18% - 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 4
Clique: 1
MIR: 4
Flow cover: 11
Explored 11 nodes (323 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.88945 1.66348 1.52173
Optimal solution found (tolerance 1.00e-02)
Best objective 1.889453523151e+00, best bound 1.892232509862e+00, gap 0.1471%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeawr2p4r.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp55x85j5w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.58629
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.401110e+00, 137 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.40111 0 12 1.58629 2.40111 51.4% - 0s
0 0 2.08324 0 19 1.58629 2.08324 31.3% - 0s
0 0 2.08320 0 22 1.58629 2.08320 31.3% - 0s
0 0 1.87327 0 11 1.58629 1.87327 18.1% - 0s
0 0 1.87174 0 12 1.58629 1.87174 18.0% - 0s
0 0 1.86992 0 12 1.58629 1.86992 17.9% - 0s
0 0 1.86451 0 12 1.58629 1.86451 17.5% - 0s
0 0 1.86211 0 12 1.58629 1.86211 17.4% - 0s
0 0 1.86008 0 11 1.58629 1.86008 17.3% - 0s
H 0 0 1.6333512 1.86008 13.9% - 0s
0 0 1.85845 0 12 1.63335 1.85845 13.8% - 0s
0 0 1.85740 0 12 1.63335 1.85740 13.7% - 0s
0 0 1.85740 0 12 1.63335 1.85740 13.7% - 0s
H 0 0 1.7618028 1.85740 5.43% - 0s
0 2 1.84110 0 12 1.76180 1.84110 4.50% - 0s
* 23 1 9 1.7767734 1.77876 0.11% 3.9 0s
Cutting planes:
Gomory: 5
Implied bound: 5
Clique: 3
MIR: 5
Flow cover: 15
Explored 28 nodes (402 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.77677 1.7618 1.63335 1.58629
Optimal solution found (tolerance 1.00e-02)
Best objective 1.776773375993e+00, best bound 1.778757106433e+00, gap 0.1116%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyp10h6uo.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwjv5i2e9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.47794
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.403943e+00, 160 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.40394 0 13 1.47794 2.40394 62.7% - 0s
0 0 2.04547 0 20 1.47794 2.04547 38.4% - 0s
0 0 2.04492 0 23 1.47794 2.04492 38.4% - 0s
0 0 2.04334 0 21 1.47794 2.04334 38.3% - 0s
0 0 1.88111 0 15 1.47794 1.88111 27.3% - 0s
0 0 1.86850 0 19 1.47794 1.86850 26.4% - 0s
0 0 1.86743 0 19 1.47794 1.86743 26.4% - 0s
0 0 1.86723 0 19 1.47794 1.86723 26.3% - 0s
0 0 1.86723 0 14 1.47794 1.86723 26.3% - 0s
H 0 0 1.6713190 1.86723 11.7% - 0s
0 2 1.86723 0 14 1.67132 1.86723 11.7% - 0s
* 72 0 15 1.6713190 1.81211 8.42% 5.2 0s
* 80 0 14 1.6800380 1.73299 3.15% 5.3 0s
Cutting planes:
Gomory: 7
Implied bound: 12
Clique: 1
MIR: 4
Flow cover: 15
Explored 84 nodes (751 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.68004 1.67132 1.67132 1.47794
Optimal solution found (tolerance 1.00e-02)
Best objective 1.680038010667e+00, best bound 1.680038010667e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4bsrcm9a.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuqiijmli.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.46001
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.246598e+00, 182 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24660 0 15 1.46001 2.24660 53.9% - 0s
0 0 1.87109 0 28 1.46001 1.87109 28.2% - 0s
0 0 1.87057 0 31 1.46001 1.87057 28.1% - 0s
0 0 1.86915 0 29 1.46001 1.86915 28.0% - 0s
0 0 1.73542 0 20 1.46001 1.73542 18.9% - 0s
0 0 1.73460 0 18 1.46001 1.73460 18.8% - 0s
0 0 1.72109 0 19 1.46001 1.72109 17.9% - 0s
0 0 1.72104 0 19 1.46001 1.72104 17.9% - 0s
0 0 1.71891 0 20 1.46001 1.71891 17.7% - 0s
0 0 1.71891 0 20 1.46001 1.71891 17.7% - 0s
H 0 0 1.5461937 1.71891 11.2% - 0s
0 2 1.71891 0 20 1.54619 1.71891 11.2% - 0s
* 68 18 17 1.5524878 1.60896 3.64% 5.2 0s
H 94 0 1.5542830 1.58804 2.17% 4.7 0s
Cutting planes:
Gomory: 6
Implied bound: 9
Clique: 1
MIR: 6
Flow cover: 22
Explored 107 nodes (848 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.55428 1.55249 1.54619 1.46001
Optimal solution found (tolerance 1.00e-02)
Best objective 1.554282986588e+00, best bound 1.554282986588e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp32tn22iz.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2vwshx1k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41046
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.041472e+00, 257 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04147 0 16 1.41046 2.04147 44.7% - 0s
0 0 1.67257 0 23 1.41046 1.67257 18.6% - 0s
0 0 1.67224 0 26 1.41046 1.67224 18.6% - 0s
0 0 1.67120 0 20 1.41046 1.67120 18.5% - 0s
0 0 1.67120 0 20 1.41046 1.67120 18.5% - 0s
0 0 1.58187 0 16 1.41046 1.58187 12.2% - 0s
0 0 1.58162 0 21 1.41046 1.58162 12.1% - 0s
0 0 1.58162 0 22 1.41046 1.58162 12.1% - 0s
0 0 1.57997 0 19 1.41046 1.57997 12.0% - 0s
0 0 1.57997 0 19 1.41046 1.57997 12.0% - 0s
0 2 1.57078 0 22 1.41046 1.57078 11.4% - 0s
Cutting planes:
Gomory: 8
Implied bound: 4
Clique: 1
MIR: 2
Flow cover: 23
Explored 99 nodes (845 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.41046
Optimal solution found (tolerance 1.00e-02)
Best objective 1.410458467293e+00, best bound 1.410458467293e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptor58dzy.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjmns711u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19445
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.314413e+00, 248 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.31441 0 19 1.19445 2.31441 93.8% - 0s
0 0 1.92059 0 34 1.19445 1.92059 60.8% - 0s
0 0 1.91917 0 36 1.19445 1.91917 60.7% - 0s
0 0 1.91821 0 33 1.19445 1.91821 60.6% - 0s
0 0 1.91377 0 32 1.19445 1.91377 60.2% - 0s
0 0 1.91161 0 32 1.19445 1.91161 60.0% - 0s
0 0 1.91117 0 34 1.19445 1.91117 60.0% - 0s
0 0 1.91115 0 33 1.19445 1.91115 60.0% - 0s
0 0 1.90282 0 36 1.19445 1.90282 59.3% - 0s
0 0 1.90282 0 37 1.19445 1.90282 59.3% - 0s
0 0 1.90096 0 36 1.19445 1.90096 59.1% - 0s
0 0 1.90096 0 36 1.19445 1.90096 59.1% - 0s
0 2 1.90096 0 36 1.19445 1.90096 59.1% - 0s
* 158 62 29 1.3447143 1.79056 33.2% 5.3 0s
* 480 91 29 1.3462103 1.72102 27.8% 5.5 0s
* 516 76 26 1.3601060 1.70808 25.6% 5.4 0s
* 607 85 27 1.3616722 1.67837 23.3% 5.4 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 15
Clique: 1
MIR: 5
Flow cover: 22
Flow path: 1
Inf proof: 7
Explored 790 nodes (4566 simplex iterations) in 0.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.36167 1.36011 1.34621 ... 1.19445
Optimal solution found (tolerance 1.00e-02)
Best objective 1.361672225112e+00, best bound 1.361672225112e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgjj4pzkw.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp869pl7pz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2095
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.247313e+00, 295 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24731 0 24 1.20950 2.24731 85.8% - 0s
0 0 1.85376 0 30 1.20950 1.85376 53.3% - 0s
0 0 1.85263 0 29 1.20950 1.85263 53.2% - 0s
0 0 1.84854 0 23 1.20950 1.84854 52.8% - 0s
0 0 1.83728 0 28 1.20950 1.83728 51.9% - 0s
0 0 1.83474 0 30 1.20950 1.83474 51.7% - 0s
0 0 1.83466 0 30 1.20950 1.83466 51.7% - 0s
0 0 1.83025 0 32 1.20950 1.83025 51.3% - 0s
0 0 1.82831 0 32 1.20950 1.82831 51.2% - 0s
0 0 1.82831 0 32 1.20950 1.82831 51.2% - 0s
0 0 1.82440 0 33 1.20950 1.82440 50.8% - 0s
0 0 1.82435 0 33 1.20950 1.82435 50.8% - 0s
0 0 1.82337 0 34 1.20950 1.82337 50.8% - 0s
0 0 1.82337 0 28 1.20950 1.82337 50.8% - 0s
0 2 1.82337 0 28 1.20950 1.82337 50.8% - 0s
* 365 86 22 1.2116425 1.57216 29.8% 6.2 0s
* 381 74 28 1.3199401 1.57216 19.1% 6.2 0s
* 382 71 28 1.3245597 1.57216 18.7% 6.2 0s
* 463 45 25 1.3551735 1.53801 13.5% 5.9 0s
* 536 5 27 1.3565544 1.46702 8.14% 5.7 0s
Cutting planes:
Gomory: 13
Implied bound: 8
Clique: 1
MIR: 7
Flow cover: 27
Inf proof: 7
Explored 587 nodes (3845 simplex iterations) in 0.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.35655 1.35517 1.32456 ... 1.2095
Optimal solution found (tolerance 1.00e-02)
Best objective 1.356554356560e+00, best bound 1.356554356560e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmyy91399.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp2oi76ef.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22226
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.160333e+00, 286 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16033 0 25 1.22226 2.16033 76.7% - 0s
0 0 1.79106 0 31 1.22226 1.79106 46.5% - 0s
0 0 1.79001 0 30 1.22226 1.79001 46.5% - 0s
0 0 1.78332 0 27 1.22226 1.78332 45.9% - 0s
0 0 1.77350 0 26 1.22226 1.77350 45.1% - 0s
0 0 1.77145 0 29 1.22226 1.77145 44.9% - 0s
0 0 1.77145 0 28 1.22226 1.77145 44.9% - 0s
0 0 1.76730 0 37 1.22226 1.76730 44.6% - 0s
0 0 1.76716 0 38 1.22226 1.76716 44.6% - 0s
0 0 1.76367 0 39 1.22226 1.76367 44.3% - 0s
0 0 1.76331 0 36 1.22226 1.76331 44.3% - 0s
0 0 1.76331 0 32 1.22226 1.76331 44.3% - 0s
0 2 1.76331 0 32 1.22226 1.76331 44.3% - 0s
* 436 66 27 1.2930621 1.57082 21.5% 6.5 0s
* 513 49 28 1.2960949 1.52718 17.8% 6.4 0s
* 518 33 29 1.3254416 1.52718 15.2% 6.4 0s
* 521 33 29 1.3294209 1.52718 14.9% 6.3 0s
Cutting planes:
Gomory: 16
Cover: 2
Implied bound: 8
Clique: 1
MIR: 9
Flow cover: 31
Inf proof: 9
Explored 670 nodes (4508 simplex iterations) in 0.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.32942 1.32544 1.29609 ... 1.22226
Optimal solution found (tolerance 1.00e-02)
Best objective 1.329420854706e+00, best bound 1.334623763054e+00, gap 0.3914%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd6u63hd0.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7d72bico.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22295
Presolve removed 260 rows and 165 columns
Presolve time: 0.02s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.060247e+00, 331 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06025 0 28 1.22295 2.06025 68.5% - 0s
0 0 1.71051 0 34 1.22295 1.71051 39.9% - 0s
0 0 1.70952 0 32 1.22295 1.70952 39.8% - 0s
0 0 1.69293 0 33 1.22295 1.69293 38.4% - 0s
0 0 1.68838 0 33 1.22295 1.68838 38.1% - 0s
0 0 1.68808 0 35 1.22295 1.68808 38.0% - 0s
0 0 1.68808 0 36 1.22295 1.68808 38.0% - 0s
0 0 1.68437 0 39 1.22295 1.68437 37.7% - 0s
0 0 1.68199 0 38 1.22295 1.68199 37.5% - 0s
0 0 1.68199 0 38 1.22295 1.68199 37.5% - 0s
0 2 1.68199 0 32 1.22295 1.68199 37.5% - 0s
* 525 52 34 1.2354190 1.42628 15.4% 6.1 0s
* 530 50 34 1.2439756 1.42628 14.7% 6.1 0s
* 563 57 36 1.2552694 1.42628 13.6% 6.0 0s
Cutting planes:
Gomory: 18
Cover: 2
Implied bound: 16
Clique: 1
MIR: 5
Flow cover: 32
Inf proof: 8
Explored 954 nodes (5747 simplex iterations) in 0.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.25527 1.24398 1.23542 1.22295
Optimal solution found (tolerance 1.00e-02)
Best objective 1.255269358780e+00, best bound 1.255269358780e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpijk7v5lp.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvppa06vo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14584
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.993367e+00, 326 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99337 0 30 1.14584 1.99337 74.0% - 0s
0 0 1.65450 0 31 1.14584 1.65450 44.4% - 0s
0 0 1.65429 0 32 1.14584 1.65429 44.4% - 0s
0 0 1.65357 0 30 1.14584 1.65357 44.3% - 0s
0 0 1.65357 0 32 1.14584 1.65357 44.3% - 0s
0 0 1.63877 0 46 1.14584 1.63877 43.0% - 0s
0 0 1.63861 0 45 1.14584 1.63861 43.0% - 0s
0 0 1.62739 0 47 1.14584 1.62739 42.0% - 0s
0 0 1.62720 0 47 1.14584 1.62720 42.0% - 0s
0 0 1.62710 0 49 1.14584 1.62710 42.0% - 0s
0 0 1.62710 0 40 1.14584 1.62710 42.0% - 0s
0 2 1.62710 0 40 1.14584 1.62710 42.0% - 0s
* 572 88 39 1.1844556 1.40067 18.3% 6.7 0s
* 776 64 39 1.1855776 1.34747 13.7% 6.6 0s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 20
MIR: 8
Flow cover: 29
Flow path: 1
Inf proof: 11
Network: 1
Explored 901 nodes (6325 simplex iterations) in 0.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.18558 1.18446 1.14584
Optimal solution found (tolerance 1.00e-02)
Best objective 1.185577574961e+00, best bound 1.185577574961e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0galufh9.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp57maeoc7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.064
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.075813e+00, 400 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07581 0 30 1.06400 2.07581 95.1% - 0s
0 0 1.72679 0 31 1.06400 1.72679 62.3% - 0s
0 0 1.72658 0 32 1.06400 1.72658 62.3% - 0s
0 0 1.72591 0 30 1.06400 1.72591 62.2% - 0s
0 0 1.72590 0 31 1.06400 1.72590 62.2% - 0s
0 0 1.71441 0 43 1.06400 1.71441 61.1% - 0s
0 0 1.71422 0 40 1.06400 1.71422 61.1% - 0s
0 0 1.70304 0 45 1.06400 1.70304 60.1% - 0s
0 0 1.69820 0 44 1.06400 1.69820 59.6% - 0s
0 0 1.69819 0 44 1.06400 1.69819 59.6% - 0s
0 0 1.69001 0 46 1.06400 1.69001 58.8% - 0s
0 0 1.68940 0 46 1.06400 1.68940 58.8% - 0s
0 0 1.68940 0 46 1.06400 1.68940 58.8% - 0s
0 0 1.68607 0 50 1.06400 1.68607 58.5% - 0s
0 0 1.68590 0 50 1.06400 1.68590 58.4% - 0s
0 0 1.68393 0 53 1.06400 1.68393 58.3% - 0s
0 0 1.68393 0 53 1.06400 1.68393 58.3% - 0s
H 0 0 1.1509713 1.68393 46.3% - 0s
0 2 1.68393 0 46 1.15097 1.68393 46.3% - 0s
Cutting planes:
Gomory: 17
Cover: 9
Implied bound: 31
MIR: 15
Flow cover: 43
Flow path: 1
Inf proof: 28
Explored 1757 nodes (12018 simplex iterations) in 0.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.15097 1.064
Optimal solution found (tolerance 1.00e-02)
Best objective 1.150971342774e+00, best bound 1.150971342774e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjlg4ld6w.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb1p31hvw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08201
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.959629e+00, 371 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95963 0 31 1.08201 1.95963 81.1% - 0s
0 0 1.62711 0 34 1.08201 1.62711 50.4% - 0s
0 0 1.62671 0 36 1.08201 1.62671 50.3% - 0s
0 0 1.62607 0 33 1.08201 1.62607 50.3% - 0s
0 0 1.61453 0 42 1.08201 1.61453 49.2% - 0s
0 0 1.61310 0 42 1.08201 1.61310 49.1% - 0s
0 0 1.61302 0 41 1.08201 1.61302 49.1% - 0s
0 0 1.60694 0 47 1.08201 1.60694 48.5% - 0s
0 0 1.60204 0 46 1.08201 1.60204 48.1% - 0s
0 0 1.60204 0 48 1.08201 1.60204 48.1% - 0s
0 0 1.59727 0 47 1.08201 1.59727 47.6% - 0s
0 0 1.59727 0 47 1.08201 1.59727 47.6% - 0s
0 0 1.59562 0 48 1.08201 1.59562 47.5% - 0s
0 0 1.59562 0 45 1.08201 1.59562 47.5% - 0s
0 2 1.59562 0 45 1.08201 1.59562 47.5% - 0s
Cutting planes:
Gomory: 16
Cover: 2
Implied bound: 20
Clique: 1
MIR: 10
Flow cover: 36
Inf proof: 13
Explored 2218 nodes (15411 simplex iterations) in 1.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.08201
Optimal solution found (tolerance 1.00e-02)
Best objective 1.082005255645e+00, best bound 1.082005255645e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppm71dqq5.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplq7cwv4o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.989658
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.962235e+00, 384 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96224 0 37 0.98966 1.96224 98.3% - 0s
0 0 1.63853 0 41 0.98966 1.63853 65.6% - 0s
0 0 1.63808 0 42 0.98966 1.63808 65.5% - 0s
0 0 1.63747 0 40 0.98966 1.63747 65.5% - 0s
0 0 1.62880 0 47 0.98966 1.62880 64.6% - 0s
0 0 1.62740 0 48 0.98966 1.62740 64.4% - 0s
0 0 1.62734 0 47 0.98966 1.62734 64.4% - 0s
0 0 1.62209 0 54 0.98966 1.62209 63.9% - 0s
0 0 1.62207 0 55 0.98966 1.62207 63.9% - 0s
0 0 1.61649 0 53 0.98966 1.61649 63.3% - 0s
0 0 1.61625 0 58 0.98966 1.61625 63.3% - 0s
0 0 1.61410 0 62 0.98966 1.61410 63.1% - 0s
0 0 1.61410 0 50 0.98966 1.61410 63.1% - 0s
0 2 1.61410 0 49 0.98966 1.61410 63.1% - 0s
* 408 188 61 1.0247629 1.49145 45.5% 7.1 0s
* 548 211 59 1.0325729 1.47749 43.1% 7.3 0s
* 805 305 52 1.0344598 1.44729 39.9% 7.0 0s
* 1643 413 49 1.0401229 1.33614 28.5% 6.5 0s
* 1779 452 45 1.0418968 1.32248 26.9% 6.4 0s
* 1913 430 45 1.0518208 1.30962 24.5% 6.4 0s
Cutting planes:
Gomory: 18
Cover: 9
Implied bound: 32
MIR: 13
Flow cover: 40
Inf proof: 55
Explored 3409 nodes (21873 simplex iterations) in 1.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.05182 1.0419 1.04012 ... 0.989658
Optimal solution found (tolerance 1.00e-02)
Best objective 1.051820786958e+00, best bound 1.056476462453e+00, gap 0.4426%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp75si1t7l.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpajpytnzt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.98452
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.865526e+00, 482 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86553 0 42 0.98452 1.86553 89.5% - 0s
0 0 1.54915 0 49 0.98452 1.54915 57.4% - 0s
0 0 1.54873 0 50 0.98452 1.54873 57.3% - 0s
0 0 1.54815 0 47 0.98452 1.54815 57.2% - 0s
0 0 1.54243 0 53 0.98452 1.54243 56.7% - 0s
0 0 1.54120 0 55 0.98452 1.54120 56.5% - 0s
0 0 1.54113 0 56 0.98452 1.54113 56.5% - 0s
0 0 1.53632 0 68 0.98452 1.53632 56.0% - 0s
0 0 1.53631 0 69 0.98452 1.53631 56.0% - 0s
0 0 1.53302 0 66 0.98452 1.53302 55.7% - 0s
0 0 1.53264 0 69 0.98452 1.53264 55.7% - 0s
0 0 1.53264 0 70 0.98452 1.53264 55.7% - 0s
0 0 1.52994 0 70 0.98452 1.52994 55.4% - 0s
0 0 1.52980 0 69 0.98452 1.52980 55.4% - 0s
0 0 1.52934 0 70 0.98452 1.52934 55.3% - 0s
0 0 1.52934 0 70 0.98452 1.52934 55.3% - 0s
0 2 1.52934 0 70 0.98452 1.52934 55.3% - 0s
* 2371 579 61 0.9873559 1.26084 27.7% 8.3 1s
Cutting planes:
Learned: 1
Gomory: 26
Cover: 1
Implied bound: 8
Projected implied bound: 3
MIR: 8
Flow cover: 35
Inf proof: 7
Explored 3978 nodes (33176 simplex iterations) in 4.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.987356 0.98452
Optimal solution found (tolerance 1.00e-02)
Best objective 9.873558729507e-01, best bound 9.949667948937e-01, gap 0.7708%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzgyo8i6y.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoxvnxv4u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899589
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.886552e+00, 493 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88655 0 45 0.89959 1.88655 110% - 0s
0 0 1.57098 0 53 0.89959 1.57098 74.6% - 0s
0 0 1.57064 0 54 0.89959 1.57064 74.6% - 0s
0 0 1.57010 0 51 0.89959 1.57010 74.5% - 0s
0 0 1.57010 0 52 0.89959 1.57010 74.5% - 0s
0 0 1.56523 0 63 0.89959 1.56523 74.0% - 0s
0 0 1.56500 0 63 0.89959 1.56500 74.0% - 0s
0 0 1.55486 0 63 0.89959 1.55486 72.8% - 0s
0 0 1.55439 0 64 0.89959 1.55439 72.8% - 0s
0 0 1.55415 0 63 0.89959 1.55415 72.8% - 0s
0 0 1.55174 0 67 0.89959 1.55174 72.5% - 0s
0 0 1.55162 0 67 0.89959 1.55162 72.5% - 0s
0 0 1.55149 0 69 0.89959 1.55149 72.5% - 0s
0 0 1.55149 0 53 0.89959 1.55149 72.5% - 0s
0 2 1.55149 0 53 0.89959 1.55149 72.5% - 0s
* 963 327 74 0.9519378 1.35343 42.2% 8.5 0s
* 965 327 75 0.9544324 1.35343 41.8% 8.5 0s
* 1967 537 81 0.9582851 1.29484 35.1% 9.1 3s
* 2623 421 56 0.9732531 1.29484 33.0% 9.5 4s
H 3364 293 0.9733799 1.11920 15.0% 9.4 4s
H 3514 266 0.9758515 1.06626 9.26% 9.3 4s
3822 212 infeasible 39 0.97585 1.05015 7.61% 9.0 5s
Cutting planes:
Learned: 1
Gomory: 25
Cover: 4
Implied bound: 19
Projected implied bound: 10
Clique: 1
MIR: 7
Flow cover: 48
Inf proof: 42
Explored 4324 nodes (38181 simplex iterations) in 5.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.975851 0.97338 0.973253 ... 0.899589
Optimal solution found (tolerance 1.00e-02)
Best objective 9.758514847936e-01, best bound 9.758514847936e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnrzqkkh8.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp57aemsdi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934833
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.799660e+00, 514 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79966 0 46 0.93483 1.79966 92.5% - 0s
0 0 1.50646 0 55 0.93483 1.50646 61.1% - 0s
0 0 1.50613 0 56 0.93483 1.50613 61.1% - 0s
0 0 1.50561 0 53 0.93483 1.50561 61.1% - 0s
0 0 1.50282 0 68 0.93483 1.50282 60.8% - 0s
0 0 1.50212 0 68 0.93483 1.50212 60.7% - 0s
0 0 1.50209 0 68 0.93483 1.50209 60.7% - 0s
0 0 1.49812 0 72 0.93483 1.49812 60.3% - 0s
0 0 1.49810 0 68 0.93483 1.49810 60.3% - 0s
0 0 1.49319 0 76 0.93483 1.49319 59.7% - 0s
0 0 1.49312 0 76 0.93483 1.49312 59.7% - 0s
0 0 1.49247 0 78 0.93483 1.49247 59.7% - 0s
0 0 1.49247 0 67 0.93483 1.49247 59.7% - 0s
0 2 1.49247 0 64 0.93483 1.49247 59.7% - 0s
* 2300 568 63 0.9357677 1.14548 22.4% 9.6 4s
* 3170 305 49 0.9367537 1.05677 12.8% 9.5 4s
3256 311 0.95893 39 23 0.93675 1.04239 11.3% 9.5 5s
Cutting planes:
Learned: 1
Gomory: 33
Cover: 2
Implied bound: 10
Projected implied bound: 28
Clique: 3
MIR: 12
Flow cover: 53
Inf proof: 19
Explored 3937 nodes (35899 simplex iterations) in 5.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.936754 0.935768 0.934833
Optimal solution found (tolerance 1.00e-02)
Best objective 9.367537108183e-01, best bound 9.367537108183e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpavtl_xux.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6h0nvfhn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927407
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.756373e+00, 582 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75637 0 51 0.92741 1.75637 89.4% - 0s
0 0 1.69775 0 59 0.92741 1.69775 83.1% - 0s
0 0 1.69467 0 60 0.92741 1.69467 82.7% - 0s
0 0 1.51390 0 72 0.92741 1.51390 63.2% - 0s
0 0 1.51359 0 74 0.92741 1.51359 63.2% - 0s
0 0 1.51359 0 75 0.92741 1.51359 63.2% - 0s
0 0 1.51033 0 73 0.92741 1.51033 62.9% - 0s
0 0 1.51032 0 74 0.92741 1.51032 62.9% - 0s
0 0 1.50798 0 78 0.92741 1.50798 62.6% - 0s
0 0 1.50798 0 78 0.92741 1.50798 62.6% - 0s
0 0 1.50785 0 77 0.92741 1.50785 62.6% - 0s
0 0 1.50785 0 63 0.92741 1.50785 62.6% - 0s
0 2 1.50785 0 63 0.92741 1.50785 62.6% - 0s
4026 172 infeasible 42 0.92741 1.02480 10.5% 8.7 5s
* 4356 44 74 0.9277239 0.95790 3.25% 8.8 5s
Cutting planes:
Gomory: 35
Cover: 4
Implied bound: 23
Projected implied bound: 34
Clique: 1
MIR: 7
Flow cover: 39
Inf proof: 27
Explored 4448 nodes (40110 simplex iterations) in 5.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.927724 0.927407
Optimal solution found (tolerance 1.00e-02)
Best objective 9.277238693790e-01, best bound 9.335345767772e-01, gap 0.6263%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppciawbqk.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvvrecx0d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929121
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.735214e+00, 593 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73521 0 54 0.92912 1.73521 86.8% - 0s
0 0 1.67779 0 66 0.92912 1.67779 80.6% - 0s
0 0 1.67753 0 69 0.92912 1.67753 80.5% - 0s
0 0 1.55063 0 76 0.92912 1.55063 66.9% - 0s
0 0 1.54587 0 73 0.92912 1.54587 66.4% - 0s
0 0 1.54219 0 79 0.92912 1.54219 66.0% - 0s
0 0 1.54219 0 79 0.92912 1.54219 66.0% - 0s
0 0 1.54042 0 79 0.92912 1.54042 65.8% - 0s
0 0 1.54042 0 79 0.92912 1.54042 65.8% - 0s
0 0 1.54035 0 83 0.92912 1.54035 65.8% - 0s
0 0 1.54035 0 69 0.92912 1.54035 65.8% - 0s
0 2 1.54035 0 64 0.92912 1.54035 65.8% - 0s
2998 720 1.12581 38 39 0.92912 1.17447 26.4% 9.1 5s
H 4298 656 0.9335610 1.08991 16.7% 9.3 6s
* 4520 566 62 0.9374054 1.07850 15.1% 9.3 6s
Cutting planes:
Learned: 1
Gomory: 38
Cover: 2
Implied bound: 13
Projected implied bound: 15
MIR: 9
Flow cover: 51
Flow path: 1
Inf proof: 35
Explored 5841 nodes (55008 simplex iterations) in 7.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.937405 0.933561 0.929121
Optimal solution found (tolerance 1.00e-02)
Best objective 9.374054360335e-01, best bound 9.374054360335e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpypa3exmy.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx9ng2c93.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906332
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.664467e+00, 648 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66447 0 54 0.90633 1.66447 83.6% - 0s
0 0 1.61209 0 59 0.90633 1.61209 77.9% - 0s
0 0 1.61180 0 62 0.90633 1.61180 77.8% - 0s
0 0 1.60641 0 77 0.90633 1.60641 77.2% - 0s
0 0 1.60616 0 77 0.90633 1.60616 77.2% - 0s
0 0 1.60300 0 73 0.90633 1.60300 76.9% - 0s
0 0 1.60297 0 74 0.90633 1.60297 76.9% - 0s
0 0 1.60087 0 81 0.90633 1.60087 76.6% - 0s
0 0 1.60059 0 79 0.90633 1.60059 76.6% - 0s
0 0 1.60047 0 84 0.90633 1.60047 76.6% - 0s
0 0 1.60047 0 84 0.90633 1.60047 76.6% - 0s
0 0 1.60045 0 84 0.90633 1.60045 76.6% - 0s
0 0 1.60045 0 72 0.90633 1.60045 76.6% - 0s
0 2 1.60045 0 71 0.90633 1.60045 76.6% - 0s
4703 259 infeasible 39 0.90633 0.99664 10.0% 8.1 5s
Cutting planes:
Gomory: 2
Implied bound: 3
Clique: 1
MIR: 3
Flow cover: 15
Inf proof: 1
Explored 5213 nodes (42015 simplex iterations) in 5.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.906332
Optimal solution found (tolerance 1.00e-02)
Best objective 9.063317570627e-01, best bound 9.146505157352e-01, gap 0.9178%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy_6jo5w4.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcl7ywbdl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.917895
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.657204e+00, 705 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65720 0 58 0.91790 1.65720 80.5% - 0s
0 0 1.60889 0 75 0.91790 1.60889 75.3% - 0s
0 0 1.60830 0 74 0.91790 1.60830 75.2% - 0s
0 0 1.51566 0 77 0.91790 1.51566 65.1% - 0s
0 0 1.51539 0 79 0.91790 1.51539 65.1% - 0s
0 0 1.51391 0 84 0.91790 1.51391 64.9% - 0s
0 0 1.51365 0 83 0.91790 1.51365 64.9% - 0s
0 0 1.51173 0 82 0.91790 1.51173 64.7% - 0s
0 0 1.51169 0 82 0.91790 1.51169 64.7% - 0s
0 0 1.51107 0 81 0.91790 1.51107 64.6% - 0s
0 0 1.51107 0 64 0.91790 1.51107 64.6% - 0s
0 2 1.51107 0 64 0.91790 1.51107 64.6% - 0s
2686 741 0.94204 43 37 0.91790 1.22481 33.4% 10.8 5s
6533 392 0.96661 55 48 0.91790 0.99341 8.23% 10.8 10s
Cutting planes:
Learned: 1
Gomory: 35
Cover: 2
Implied bound: 14
Projected implied bound: 18
Clique: 1
MIR: 13
Flow cover: 43
Inf proof: 74
Explored 7287 nodes (80140 simplex iterations) in 10.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.917895
Optimal solution found (tolerance 1.00e-02)
Best objective 9.178952425986e-01, best bound 9.246553486362e-01, gap 0.7365%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi95f6eqr.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpexjn1lyc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.922222
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.624319e+00, 626 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62432 0 61 0.92222 1.62432 76.1% - 0s
0 0 1.57932 0 70 0.92222 1.57932 71.3% - 0s
0 0 1.57905 0 72 0.92222 1.57905 71.2% - 0s
0 0 1.50778 0 83 0.92222 1.50778 63.5% - 0s
0 0 1.50724 0 83 0.92222 1.50724 63.4% - 0s
0 0 1.50237 0 90 0.92222 1.50237 62.9% - 0s
0 0 1.50234 0 89 0.92222 1.50234 62.9% - 0s
0 0 1.50075 0 93 0.92222 1.50075 62.7% - 0s
0 0 1.50075 0 93 0.92222 1.50075 62.7% - 0s
0 0 1.50068 0 92 0.92222 1.50068 62.7% - 0s
0 0 1.50068 0 79 0.92222 1.50068 62.7% - 0s
0 2 1.50068 0 79 0.92222 1.50068 62.7% - 0s
2345 673 infeasible 27 0.92222 1.28863 39.7% 10.9 5s
H 4163 822 0.9222223 1.12535 22.0% 10.4 7s
6591 205 infeasible 46 0.92222 0.97219 5.42% 10.4 10s
Cutting planes:
Learned: 3
Gomory: 35
Cover: 4
Implied bound: 15
Projected implied bound: 18
Clique: 4
MIR: 14
Flow cover: 43
Flow path: 1
GUB cover: 1
Inf proof: 73
Explored 6975 nodes (73749 simplex iterations) in 10.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.922222 0.922222
Optimal solution found (tolerance 1.00e-02)
Best objective 9.222222961969e-01, best bound 9.222222961969e-01, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqn2bmqma.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjamuuveo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920999
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.610178e+00, 714 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61018 0 60 0.92100 1.61018 74.8% - 0s
0 0 1.56696 0 78 0.92100 1.56696 70.1% - 0s
0 0 1.56642 0 75 0.92100 1.56642 70.1% - 0s
0 0 1.50904 0 83 0.92100 1.50904 63.8% - 0s
0 0 1.50877 0 84 0.92100 1.50877 63.8% - 0s
0 0 1.50791 0 84 0.92100 1.50791 63.7% - 0s
0 0 1.50760 0 85 0.92100 1.50760 63.7% - 0s
0 0 1.50242 0 95 0.92100 1.50242 63.1% - 0s
0 0 1.50190 0 95 0.92100 1.50190 63.1% - 0s
0 0 1.50185 0 96 0.92100 1.50185 63.1% - 0s
0 0 1.50183 0 96 0.92100 1.50183 63.1% - 0s
0 0 1.50109 0 94 0.92100 1.50109 63.0% - 0s
0 0 1.50109 0 95 0.92100 1.50109 63.0% - 0s
0 0 1.50036 0 97 0.92100 1.50036 62.9% - 0s
0 0 1.50036 0 73 0.92100 1.50036 62.9% - 0s
0 2 1.50036 0 71 0.92100 1.50036 62.9% - 0s
1337 504 infeasible 21 0.92100 1.28684 39.7% 13.1 5s
4676 770 0.93681 51 43 0.92100 1.06672 15.8% 12.7 10s
Cutting planes:
Gomory: 46
Cover: 3
Implied bound: 21
Projected implied bound: 34
MIR: 22
Flow cover: 56
Flow path: 1
Inf proof: 67
Explored 7330 nodes (93066 simplex iterations) in 13.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.920999
Optimal solution found (tolerance 1.00e-02)
Best objective 9.209994067048e-01, best bound 9.209994067048e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsrbea1sr.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3g4i1y01.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.917395
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.582110e+00, 801 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58211 0 64 0.91740 1.58211 72.5% - 0s
0 0 1.53948 0 82 0.91740 1.53948 67.8% - 0s
0 0 1.53898 0 82 0.91740 1.53898 67.8% - 0s
0 0 1.49269 0 70 0.91740 1.49269 62.7% - 0s
0 0 1.49160 0 74 0.91740 1.49160 62.6% - 0s
0 0 1.48915 0 85 0.91740 1.48915 62.3% - 0s
0 0 1.48912 0 83 0.91740 1.48912 62.3% - 0s
0 0 1.48695 0 92 0.91740 1.48695 62.1% - 0s
0 0 1.48691 0 89 0.91740 1.48691 62.1% - 0s
0 0 1.48657 0 89 0.91740 1.48657 62.0% - 0s
0 0 1.48657 0 89 0.91740 1.48657 62.0% - 0s
0 0 1.48653 0 92 0.91740 1.48653 62.0% - 0s
0 0 1.48653 0 75 0.91740 1.48653 62.0% - 0s
0 2 1.48653 0 73 0.91740 1.48653 62.0% - 0s
1550 622 1.20201 30 65 0.91740 1.31401 43.2% 13.3 5s
H 3497 711 0.9173952 1.12298 22.4% 13.8 8s
4844 732 1.04473 48 58 0.91740 1.04535 13.9% 13.7 10s
H 4983 737 0.9173952 1.04306 13.7% 13.7 10s
Cutting planes:
Learned: 1
Gomory: 43
Cover: 4
Implied bound: 24
Projected implied bound: 32
Clique: 2
MIR: 18
Flow cover: 62
Flow path: 2
GUB cover: 1
Inf proof: 69
Explored 6555 nodes (89850 simplex iterations) in 12.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.917395 0.917395 0.917395
Optimal solution found (tolerance 1.00e-02)
Best objective 9.173951697296e-01, best bound 9.202395187876e-01, gap 0.3100%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4dlemuys.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps_330sww.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.903185
Presolve removed 455 rows and 285 columns
Presolve time: 0.03s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.542325e+00, 796 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54233 0 67 0.90319 1.54233 70.8% - 0s
0 0 1.50270 0 87 0.90319 1.50270 66.4% - 0s
0 0 1.50221 0 86 0.90319 1.50221 66.3% - 0s
0 0 1.45981 0 75 0.90319 1.45981 61.6% - 0s
0 0 1.45538 0 78 0.90319 1.45538 61.1% - 0s
0 0 1.45346 0 91 0.90319 1.45346 60.9% - 0s
0 0 1.45331 0 92 0.90319 1.45331 60.9% - 0s
0 0 1.45030 0 97 0.90319 1.45030 60.6% - 0s
0 0 1.45019 0 98 0.90319 1.45019 60.6% - 0s
0 0 1.44970 0 95 0.90319 1.44970 60.5% - 0s
0 0 1.44970 0 97 0.90319 1.44970 60.5% - 0s
0 0 1.44969 0 98 0.90319 1.44969 60.5% - 0s
0 0 1.44967 0 98 0.90319 1.44967 60.5% - 0s
0 0 1.44964 0 98 0.90319 1.44964 60.5% - 0s
0 0 1.44964 0 80 0.90319 1.44964 60.5% - 0s
0 2 1.44964 0 79 0.90319 1.44964 60.5% - 0s
1733 540 1.17768 23 62 0.90319 1.21189 34.2% 12.5 5s
6225 1537 0.93671 45 37 0.90319 1.07875 19.4% 10.5 10s
9899 535 infeasible 55 0.90319 0.93806 3.86% 10.5 15s
Cutting planes:
Learned: 2
Gomory: 42
Cover: 3
Implied bound: 14
Projected implied bound: 34
Clique: 2
MIR: 21
Flow cover: 64
Flow path: 1
Inf proof: 82
Explored 10888 nodes (114825 simplex iterations) in 16.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.903185
Optimal solution found (tolerance 1.00e-02)
Best objective 9.031852868612e-01, best bound 9.091291531138e-01, gap 0.6581%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmndpptmf.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7eijwgnd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.894438
Presolve removed 468 rows and 293 columns
Presolve time: 0.03s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.536836e+00, 787 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53684 0 68 0.89444 1.53684 71.8% - 0s
0 0 1.49895 0 91 0.89444 1.49895 67.6% - 0s
0 0 1.49847 0 89 0.89444 1.49847 67.5% - 0s
0 0 1.44595 0 90 0.89444 1.44595 61.7% - 0s
0 0 1.44590 0 91 0.89444 1.44590 61.7% - 0s
0 0 1.44569 0 94 0.89444 1.44569 61.6% - 0s
0 0 1.44568 0 94 0.89444 1.44568 61.6% - 0s
0 0 1.44417 0 99 0.89444 1.44417 61.5% - 0s
0 0 1.44407 0 97 0.89444 1.44407 61.4% - 0s
0 0 1.44404 0 97 0.89444 1.44404 61.4% - 0s
0 0 1.44404 0 97 0.89444 1.44404 61.4% - 0s
0 0 1.44404 0 80 0.89444 1.44404 61.4% - 0s
0 2 1.44404 0 77 0.89444 1.44404 61.4% - 0s
1382 610 infeasible 33 0.89444 1.26226 41.1% 13.9 5s
H 3932 1194 0.8947167 1.14714 28.2% 13.7 9s
4520 1268 infeasible 40 0.89472 1.12488 25.7% 13.8 10s
7593 824 infeasible 50 0.89472 0.99700 11.4% 13.3 15s
Cutting planes:
Gomory: 55
Cover: 1
Implied bound: 20
Projected implied bound: 27
Clique: 3
MIR: 25
Flow cover: 76
Flow path: 1
Inf proof: 83
Explored 9376 nodes (120839 simplex iterations) in 17.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.894717 0.894438
Optimal solution found (tolerance 1.00e-02)
Best objective 8.947167432609e-01, best bound 8.990014046132e-01, gap 0.4789%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2qvvcadc.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnsy99mzi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.890062
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.516386e+00, 847 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51639 0 70 0.89006 1.51639 70.4% - 0s
0 0 1.48139 0 82 0.89006 1.48139 66.4% - 0s
0 0 1.48117 0 82 0.89006 1.48117 66.4% - 0s
0 0 1.43095 0 90 0.89006 1.43095 60.8% - 0s
0 0 1.43046 0 90 0.89006 1.43046 60.7% - 0s
0 0 1.42656 0 101 0.89006 1.42656 60.3% - 0s
0 0 1.42650 0 95 0.89006 1.42650 60.3% - 0s
0 0 1.42485 0 107 0.89006 1.42485 60.1% - 0s
0 0 1.42474 0 107 0.89006 1.42474 60.1% - 0s
0 0 1.42468 0 107 0.89006 1.42468 60.1% - 0s
0 0 1.42466 0 108 0.89006 1.42466 60.1% - 0s
0 0 1.42466 0 106 0.89006 1.42466 60.1% - 0s
0 0 1.42466 0 91 0.89006 1.42466 60.1% - 0s
0 2 1.42466 0 91 0.89006 1.42466 60.1% - 0s
1457 522 infeasible 29 0.89006 1.26596 42.2% 15.2 5s
4909 545 0.93541 51 33 0.89006 0.99592 11.9% 11.8 10s
Cutting planes:
Learned: 3
Gomory: 40
Cover: 2
Implied bound: 16
Projected implied bound: 14
MIR: 9
Flow cover: 53
Inf proof: 68
Network: 1
Explored 6180 nodes (75149 simplex iterations) in 12.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.890062
Optimal solution found (tolerance 1.00e-02)
Best objective 8.900622585720e-01, best bound 8.945281458710e-01, gap 0.5017%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoqnqk3h3.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpilg68_lk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887802
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.510389e+00, 875 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51039 0 75 0.88780 1.51039 70.1% - 0s
0 0 1.47769 0 89 0.88780 1.47769 66.4% - 0s
0 0 1.47748 0 87 0.88780 1.47748 66.4% - 0s
0 0 1.42508 0 109 0.88780 1.42508 60.5% - 0s
0 0 1.42452 0 109 0.88780 1.42452 60.5% - 0s
0 0 1.41865 0 110 0.88780 1.41865 59.8% - 0s
0 0 1.41832 0 116 0.88780 1.41832 59.8% - 0s
0 0 1.41701 0 120 0.88780 1.41701 59.6% - 0s
0 0 1.41701 0 121 0.88780 1.41701 59.6% - 0s
0 0 1.41697 0 122 0.88780 1.41697 59.6% - 0s
0 0 1.41697 0 122 0.88780 1.41697 59.6% - 0s
0 0 1.41697 0 122 0.88780 1.41697 59.6% - 0s
0 0 1.41697 0 103 0.88780 1.41697 59.6% - 0s
0 2 1.41697 0 102 0.88780 1.41697 59.6% - 0s
947 583 1.19982 32 61 0.88780 1.30251 46.7% 15.9 5s
3941 864 1.05009 44 65 0.88780 1.10206 24.1% 13.4 10s
7772 1815 infeasible 53 0.88780 1.04997 18.3% 12.3 15s
10320 1554 0.94093 53 54 0.88780 1.00395 13.1% 13.2 20s
12473 901 0.96256 107 40 0.88780 0.96256 8.42% 13.5 25s
Cutting planes:
Gomory: 34
Cover: 5
Implied bound: 33
Projected implied bound: 55
Clique: 2
MIR: 26
Flow cover: 122
Flow path: 2
Inf proof: 161
Explored 14113 nodes (194790 simplex iterations) in 28.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.887802
Optimal solution found (tolerance 1.00e-02)
Best objective 8.878017449623e-01, best bound 8.924599750510e-01, gap 0.5247%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwvk8cgxy.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzlv8npzb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.882441
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.493246e+00, 963 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49325 0 79 0.88244 1.49325 69.2% - 0s
0 0 1.46427 0 93 0.88244 1.46427 65.9% - 0s
0 0 1.46406 0 93 0.88244 1.46406 65.9% - 0s
0 0 1.41951 0 97 0.88244 1.41951 60.9% - 0s
0 0 1.41765 0 97 0.88244 1.41765 60.7% - 0s
0 0 1.41260 0 100 0.88244 1.41260 60.1% - 0s
0 0 1.41258 0 100 0.88244 1.41258 60.1% - 0s
0 0 1.41132 0 102 0.88244 1.41132 59.9% - 0s
0 0 1.41123 0 104 0.88244 1.41123 59.9% - 0s
0 0 1.41118 0 107 0.88244 1.41118 59.9% - 0s
0 0 1.41116 0 107 0.88244 1.41116 59.9% - 0s
0 0 1.41112 0 107 0.88244 1.41112 59.9% - 0s
0 0 1.41112 0 95 0.88244 1.41112 59.9% - 0s
0 2 1.41112 0 93 0.88244 1.41112 59.9% - 0s
1084 554 1.25685 27 93 0.88244 1.27684 44.7% 14.9 5s
* 2835 558 132 0.8833194 1.15399 30.6% 16.2 8s
H 3940 895 0.8835350 1.10747 25.3% 14.3 9s
3984 884 1.00070 40 81 0.88353 1.10747 25.3% 14.3 10s
7629 1533 infeasible 66 0.88353 1.01536 14.9% 12.2 15s
10571 1087 infeasible 85 0.88353 0.96565 9.29% 12.9 20s
13084 235 cutoff 73 0.88353 0.91014 3.01% 13.2 25s
Cutting planes:
Gomory: 37
Cover: 5
Implied bound: 29
Projected implied bound: 30
Clique: 3
MIR: 15
Flow cover: 91
Flow path: 1
Inf proof: 151
Explored 13586 nodes (179970 simplex iterations) in 25.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.883535 0.883319 0.882441
Optimal solution found (tolerance 1.00e-02)
Best objective 8.835349688622e-01, best bound 8.855340333777e-01, gap 0.2263%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzt0cfvgr.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp26e2aows.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.873339
Presolve removed 520 rows and 325 columns
Presolve time: 0.04s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.479981e+00, 874 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47998 0 84 0.87334 1.47998 69.5% - 0s
0 0 1.45195 0 99 0.87334 1.45195 66.3% - 0s
0 0 1.45174 0 98 0.87334 1.45174 66.2% - 0s
0 0 1.40983 0 109 0.87334 1.40983 61.4% - 0s
0 0 1.40941 0 109 0.87334 1.40941 61.4% - 0s
0 0 1.40584 0 115 0.87334 1.40584 61.0% - 0s
0 0 1.40576 0 109 0.87334 1.40576 61.0% - 0s
0 0 1.40453 0 118 0.87334 1.40453 60.8% - 0s
0 0 1.40444 0 118 0.87334 1.40444 60.8% - 0s
0 0 1.40439 0 119 0.87334 1.40439 60.8% - 0s
0 0 1.40435 0 120 0.87334 1.40435 60.8% - 0s
0 0 1.40435 0 119 0.87334 1.40435 60.8% - 0s
0 0 1.40435 0 100 0.87334 1.40435 60.8% - 0s
0 2 1.40435 0 99 0.87334 1.40435 60.8% - 0s
997 479 1.14184 34 59 0.87334 1.23854 41.8% 15.6 5s
3914 605 0.93058 64 49 0.87334 1.04177 19.3% 14.0 10s
H 4973 794 0.8754427 1.00586 14.9% 13.3 11s
6584 816 0.90234 68 41 0.87544 0.95252 8.80% 12.6 15s
* 6692 829 117 0.8758801 0.95166 8.65% 12.6 15s
Cutting planes:
Learned: 2
Gomory: 38
Cover: 5
Implied bound: 28
Projected implied bound: 44
MIR: 20
Flow cover: 60
Flow path: 2
Inf proof: 83
Explored 8902 nodes (113587 simplex iterations) in 18.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.87588 0.875443 0.873339
Optimal solution found (tolerance 1.00e-02)
Best objective 8.758801490092e-01, best bound 8.794689698046e-01, gap 0.4097%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7_w7q2i5.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplhgwchzz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.857127
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.440394e+00, 856 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44039 0 82 0.85713 1.44039 68.0% - 0s
0 0 1.41446 0 106 0.85713 1.41446 65.0% - 0s
0 0 1.41258 0 103 0.85713 1.41258 64.8% - 0s
0 0 1.36859 0 95 0.85713 1.36859 59.7% - 0s
0 0 1.36573 0 109 0.85713 1.36573 59.3% - 0s
0 0 1.36516 0 116 0.85713 1.36516 59.3% - 0s
0 0 1.36426 0 112 0.85713 1.36426 59.2% - 0s
0 0 1.36249 0 112 0.85713 1.36249 59.0% - 0s
0 0 1.36240 0 113 0.85713 1.36240 58.9% - 0s
0 0 1.36236 0 115 0.85713 1.36236 58.9% - 0s
0 0 1.36231 0 115 0.85713 1.36231 58.9% - 0s
0 0 1.36231 0 92 0.85713 1.36231 58.9% - 0s
0 2 1.36231 0 92 0.85713 1.36231 58.9% - 0s
967 517 infeasible 23 0.85713 1.23695 44.3% 16.8 5s
2811 668 1.12496 42 82 0.85713 1.14039 33.0% 17.7 10s
H 2814 668 0.8571267 1.14039 33.0% 17.7 10s
6160 986 infeasible 61 0.85713 1.00329 17.1% 14.9 15s
8708 640 infeasible 59 0.85713 0.93232 8.77% 14.2 20s
Cutting planes:
Learned: 1
Gomory: 34
Cover: 3
Implied bound: 42
Projected implied bound: 60
Clique: 1
MIR: 33
Flow cover: 114
Flow path: 1
Inf proof: 103
Explored 10639 nodes (144806 simplex iterations) in 22.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.857127 0.857127
Optimal solution found (tolerance 1.00e-02)
Best objective 8.571267085378e-01, best bound 8.571267085378e-01, gap 0.0000%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnn2dcxo7.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpssoojx0k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.857673
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.432822e+00, 1031 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43282 0 88 0.85767 1.43282 67.1% - 0s
0 0 1.40617 0 102 0.85767 1.40617 64.0% - 0s
0 0 1.40598 0 104 0.85767 1.40598 63.9% - 0s
0 0 1.37349 0 110 0.85767 1.37349 60.1% - 0s
0 0 1.37310 0 113 0.85767 1.37310 60.1% - 0s
0 0 1.36900 0 116 0.85767 1.36900 59.6% - 0s
0 0 1.36896 0 115 0.85767 1.36896 59.6% - 0s
0 0 1.36780 0 118 0.85767 1.36780 59.5% - 0s
0 0 1.36773 0 118 0.85767 1.36773 59.5% - 0s
0 0 1.36773 0 123 0.85767 1.36773 59.5% - 0s
0 0 1.36773 0 123 0.85767 1.36773 59.5% - 0s
0 0 1.36752 0 125 0.85767 1.36752 59.4% - 0s
0 0 1.36752 0 103 0.85767 1.36752 59.4% - 0s
0 2 1.36752 0 103 0.85767 1.36752 59.4% - 0s
871 521 1.15340 31 93 0.85767 1.25521 46.4% 18.2 5s
3388 813 1.00396 58 79 0.85767 1.09357 27.5% 15.1 10s
6628 1394 0.96806 64 71 0.85767 1.01544 18.4% 12.7 15s
10176 1957 0.96903 59 80 0.85767 0.96903 13.0% 12.1 20s
H10437 2032 0.8576735 0.96608 12.6% 12.2 22s
11861 1983 infeasible 63 0.85767 0.94957 10.7% 12.6 25s
14645 1809 0.89061 70 59 0.85767 0.91576 6.77% 12.9 30s
17185 1386 infeasible 57 0.85767 0.88984 3.75% 13.2 35s
Cutting planes:
Learned: 2
Gomory: 31
Cover: 4
Implied bound: 28
Projected implied bound: 63
Clique: 3
MIR: 20
Flow cover: 121
Inf proof: 235
Explored 19555 nodes (259191 simplex iterations) in 39.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.857674 0.857673
Optimal solution found (tolerance 1.00e-02)
Best objective 8.576735033773e-01, best bound 8.661778849913e-01, gap 0.9916%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbgwz2msr.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_szgfkx5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.849003
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.413363e+00, 1075 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41336 0 91 0.84900 1.41336 66.5% - 0s
0 0 1.38924 0 107 0.84900 1.38924 63.6% - 0s
0 0 1.38907 0 107 0.84900 1.38907 63.6% - 0s
0 0 1.35283 0 121 0.84900 1.35283 59.3% - 0s
0 0 1.35263 0 123 0.84900 1.35263 59.3% - 0s
0 0 1.35001 0 136 0.84900 1.35001 59.0% - 0s
0 0 1.35000 0 136 0.84900 1.35000 59.0% - 0s
0 0 1.34885 0 140 0.84900 1.34885 58.9% - 0s
0 0 1.34885 0 140 0.84900 1.34885 58.9% - 0s
0 0 1.34885 0 136 0.84900 1.34885 58.9% - 0s
0 0 1.34881 0 136 0.84900 1.34881 58.9% - 0s
0 0 1.34880 0 137 0.84900 1.34880 58.9% - 0s
0 0 1.34880 0 116 0.84900 1.34880 58.9% - 0s
0 2 1.34880 0 111 0.84900 1.34880 58.9% - 0s
762 492 1.17096 15 110 0.84900 1.23676 45.7% 16.2 5s
3273 912 0.91252 54 51 0.84900 1.07098 26.1% 13.4 10s
7003 1648 infeasible 54 0.84900 0.97121 14.4% 11.6 15s
10100 2066 infeasible 60 0.84900 0.92790 9.29% 11.1 20s
12532 1723 infeasible 43 0.84900 0.90139 6.17% 11.5 25s
15092 1231 infeasible 86 0.84900 0.87023 2.50% 11.6 30s
Cutting planes:
Gomory: 47
Cover: 4
Implied bound: 27
Projected implied bound: 29
MIR: 21
Flow cover: 89
Flow path: 1
Inf proof: 166
Network: 1
Explored 17489 nodes (201943 simplex iterations) in 33.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.849003
Optimal solution found (tolerance 1.00e-02)
Best objective 8.490033427747e-01, best bound 8.574013197153e-01, gap 0.9892%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvhey5m2l.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn973cri8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.841278
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.409177e+00, 959 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40918 0 92 0.84128 1.40918 67.5% - 0s
0 0 1.38579 0 106 0.84128 1.38579 64.7% - 0s
0 0 1.38559 0 104 0.84128 1.38559 64.7% - 0s
0 0 1.34666 0 112 0.84128 1.34666 60.1% - 0s
0 0 1.34646 0 113 0.84128 1.34646 60.0% - 0s
0 0 1.34383 0 116 0.84128 1.34383 59.7% - 0s
0 0 1.34378 0 116 0.84128 1.34378 59.7% - 0s
0 0 1.34131 0 125 0.84128 1.34131 59.4% - 0s
0 0 1.34080 0 126 0.84128 1.34080 59.4% - 0s
0 0 1.33998 0 128 0.84128 1.33998 59.3% - 0s
0 0 1.33993 0 131 0.84128 1.33993 59.3% - 0s
0 0 1.33992 0 133 0.84128 1.33992 59.3% - 0s
0 0 1.33992 0 133 0.84128 1.33992 59.3% - 0s
0 0 1.33992 0 103 0.84128 1.33992 59.3% - 0s
0 2 1.33992 0 101 0.84128 1.33992 59.3% - 0s
771 460 1.23662 10 105 0.84128 1.23662 47.0% 18.0 5s
2359 742 1.08395 20 95 0.84128 1.15742 37.6% 19.9 10s
5891 1550 cutoff 51 0.84128 1.03471 23.0% 14.5 15s
10430 2433 infeasible 64 0.84128 0.98265 16.8% 12.3 20s
H12681 2669 0.8412780 0.96485 14.7% 12.0 23s
H12682 2669 0.8412780 0.96485 14.7% 12.0 23s
13134 2649 0.86859 62 46 0.84128 0.96160 14.3% 12.1 25s
H13339 2695 0.8412780 0.95990 14.1% 12.2 25s
15164 2684 0.88702 49 66 0.84128 0.94497 12.3% 12.4 30s
17466 2526 infeasible 68 0.84128 0.93131 10.7% 12.9 35s
H17979 2507 0.8412780 0.92940 10.5% 13.0 37s
18999 2212 infeasible 91 0.84128 0.92027 9.39% 13.4 40s
21086 1445 0.86264 66 40 0.84128 0.89328 6.18% 14.1 45s
23272 660 0.85249 83 46 0.84128 0.86026 2.26% 14.5 50s
Cutting planes:
Gomory: 39
Cover: 3
Implied bound: 38
Projected implied bound: 46
Clique: 1
MIR: 22
Flow cover: 112
Inf proof: 302
Explored 24254 nodes (351424 simplex iterations) in 51.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.841278 0.841278 0.841278 ... 0.841278
Optimal solution found (tolerance 1.00e-02)
Best objective 8.412780220403e-01, best bound 8.491582836005e-01, gap 0.9367%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwygrrwq7.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4dhr0vkm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.830038
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.385361e+00, 1078 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38536 0 93 0.83004 1.38536 66.9% - 0s
0 0 1.36215 0 117 0.83004 1.36215 64.1% - 0s
0 0 1.36203 0 119 0.83004 1.36203 64.1% - 0s
0 0 1.32213 0 107 0.83004 1.32213 59.3% - 0s
0 0 1.32077 0 115 0.83004 1.32077 59.1% - 0s
0 0 1.31918 0 116 0.83004 1.31918 58.9% - 0s
0 0 1.31918 0 116 0.83004 1.31918 58.9% - 0s
0 0 1.31789 0 117 0.83004 1.31789 58.8% - 0s
0 0 1.31789 0 121 0.83004 1.31789 58.8% - 0s
0 0 1.31766 0 130 0.83004 1.31766 58.7% - 0s
0 0 1.31766 0 130 0.83004 1.31766 58.7% - 0s
0 0 1.31689 0 129 0.83004 1.31689 58.7% - 0s
0 0 1.31689 0 129 0.83004 1.31689 58.7% - 0s
0 0 1.31689 0 110 0.83004 1.31689 58.7% - 0s
0 0 1.31686 0 111 0.83004 1.31686 58.7% - 0s
0 0 1.31686 0 110 0.83004 1.31686 58.7% - 0s
0 0 1.31686 0 110 0.83004 1.31686 58.7% - 0s
0 2 1.31686 0 108 0.83004 1.31686 58.7% - 0s
766 503 1.20204 12 94 0.83004 1.20230 44.8% 17.6 5s
3209 912 1.00302 44 81 0.83004 1.04715 26.2% 13.9 10s
6365 1861 infeasible 48 0.83004 0.99407 19.8% 12.5 15s
H 7582 2184 0.8300378 0.98232 18.3% 12.2 16s
9426 2404 infeasible 74 0.83004 0.96114 15.8% 12.3 20s
12189 2513 infeasible 62 0.83004 0.93423 12.6% 12.6 25s
13960 2451 infeasible 72 0.83004 0.91372 10.1% 12.6 30s
16605 2132 0.88365 52 64 0.83004 0.88365 6.46% 12.5 35s
19807 1729 0.85355 82 39 0.83004 0.85595 3.12% 12.1 40s
22248 1440 0.84139 73 71 0.83004 0.84722 2.07% 11.8 45s
25175 450 0.83348 86 32 0.83004 0.83838 1.00% 11.7 50s
Cutting planes:
Learned: 1
Gomory: 47
Cover: 7
Implied bound: 33
Projected implied bound: 40
Clique: 3
MIR: 25
Flow cover: 105
Flow path: 2
Inf proof: 209
Explored 25318 nodes (298312 simplex iterations) in 50.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.830038 0.830038
Optimal solution found (tolerance 1.00e-02)
Best objective 8.300378442044e-01, best bound 8.380811618345e-01, gap 0.9690%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7o7r2tkj.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpljmadbei.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.824402
Presolve removed 598 rows and 373 columns
Presolve time: 0.05s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.372709e+00, 1107 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37271 0 95 0.82440 1.37271 66.5% - 0s
0 0 1.35303 0 111 0.82440 1.35303 64.1% - 0s
0 0 1.35294 0 114 0.82440 1.35294 64.1% - 0s
0 0 1.31187 0 122 0.82440 1.31187 59.1% - 0s
0 0 1.31179 0 118 0.82440 1.31179 59.1% - 0s
0 0 1.30767 0 127 0.82440 1.30767 58.6% - 0s
0 0 1.30756 0 127 0.82440 1.30756 58.6% - 0s
0 0 1.30746 0 128 0.82440 1.30746 58.6% - 0s
0 0 1.30745 0 128 0.82440 1.30745 58.6% - 0s
0 0 1.30738 0 132 0.82440 1.30738 58.6% - 0s
0 0 1.30738 0 115 0.82440 1.30738 58.6% - 0s
0 2 1.30738 0 110 0.82440 1.30738 58.6% - 0s
769 427 1.14954 8 134 0.82440 1.20941 46.7% 13.5 5s
1873 558 infeasible 25 0.82440 1.16598 41.4% 19.3 10s
4761 1086 0.92130 62 65 0.82440 1.01541 23.2% 15.1 15s
8212 1996 infeasible 61 0.82440 0.96860 17.5% 13.3 20s
10455 2102 infeasible 73 0.82440 0.93312 13.2% 13.3 25s
12792 2118 0.88431 64 47 0.82440 0.91007 10.4% 13.1 30s
15427 2179 cutoff 57 0.82440 0.88200 6.99% 13.0 35s
17715 1775 0.86210 62 51 0.82440 0.86453 4.87% 13.1 40s
20115 889 0.84731 79 35 0.82440 0.84846 2.92% 13.2 45s
Cutting planes:
Learned: 2
Gomory: 55
Cover: 8
Implied bound: 32
Projected implied bound: 50
Clique: 3
MIR: 24
Flow cover: 121
Flow path: 1
Inf proof: 192
Explored 21624 nodes (284002 simplex iterations) in 47.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.824402
Optimal solution found (tolerance 1.00e-02)
Best objective 8.244015318219e-01, best bound 8.324438328803e-01, gap 0.9755%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnurzicpf.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxd9id9ew.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.825719
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.360841e+00, 1019 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36084 0 99 0.82572 1.36084 64.8% - 0s
0 0 1.34160 0 131 0.82572 1.34160 62.5% - 0s
0 0 1.34128 0 132 0.82572 1.34128 62.4% - 0s
0 0 1.29760 0 132 0.82572 1.29760 57.1% - 0s
0 0 1.29742 0 125 0.82572 1.29742 57.1% - 0s
0 0 1.29357 0 135 0.82572 1.29357 56.7% - 0s
0 0 1.29060 0 135 0.82572 1.29060 56.3% - 0s
0 0 1.28982 0 142 0.82572 1.28982 56.2% - 0s
0 0 1.28981 0 141 0.82572 1.28981 56.2% - 0s
0 0 1.28822 0 146 0.82572 1.28822 56.0% - 0s
0 0 1.28813 0 147 0.82572 1.28813 56.0% - 0s
0 0 1.28772 0 147 0.82572 1.28772 56.0% - 0s
0 0 1.28772 0 150 0.82572 1.28772 56.0% - 0s
0 0 1.28759 0 150 0.82572 1.28759 55.9% - 0s
0 0 1.28754 0 150 0.82572 1.28754 55.9% - 0s
0 0 1.28754 0 119 0.82572 1.28754 55.9% - 0s
0 2 1.28754 0 117 0.82572 1.28754 55.9% - 0s
760 537 1.20824 15 94 0.82572 1.20854 46.4% 17.3 5s
3404 639 0.85134 77 80 0.82572 1.05022 27.2% 13.3 10s
6910 1552 0.87203 79 59 0.82572 0.96003 16.3% 11.5 15s
10301 2155 infeasible 68 0.82572 0.90903 10.1% 11.2 20s
13283 2716 0.83691 67 51 0.82572 0.88741 7.47% 11.1 25s
16173 2851 cutoff 69 0.82572 0.86878 5.21% 11.3 30s
19385 2841 infeasible 76 0.82572 0.85320 3.33% 11.4 35s
21909 2553 cutoff 98 0.82572 0.84576 2.43% 11.5 40s
24484 1700 infeasible 93 0.82572 0.83954 1.67% 11.9 45s
Cutting planes:
Gomory: 30
Cover: 2
Implied bound: 35
Projected implied bound: 37
Clique: 1
MIR: 20
Flow cover: 97
Flow path: 2
Inf proof: 215
Explored 26195 nodes (320643 simplex iterations) in 47.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.825719
Optimal solution found (tolerance 1.00e-02)
Best objective 8.257186868963e-01, best bound 8.335341230569e-01, gap 0.9465%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeprmq7jc.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwm0ybfwj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.809968
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.330658e+00, 1147 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33066 0 102 0.80997 1.33066 64.3% - 0s
0 0 1.31097 0 118 0.80997 1.31097 61.9% - 0s
0 0 1.31078 0 119 0.80997 1.31078 61.8% - 0s
0 0 1.26428 0 124 0.80997 1.26428 56.1% - 0s
0 0 1.26314 0 127 0.80997 1.26314 55.9% - 0s
0 0 1.26039 0 128 0.80997 1.26039 55.6% - 0s
0 0 1.26039 0 132 0.80997 1.26039 55.6% - 0s
0 0 1.25927 0 140 0.80997 1.25927 55.5% - 0s
0 0 1.25921 0 141 0.80997 1.25921 55.5% - 0s
0 0 1.25914 0 141 0.80997 1.25914 55.5% - 0s
0 0 1.25913 0 141 0.80997 1.25913 55.5% - 0s
0 0 1.25900 0 145 0.80997 1.25900 55.4% - 0s
0 0 1.25900 0 126 0.80997 1.25900 55.4% - 0s
0 2 1.25900 0 118 0.80997 1.25900 55.4% - 0s
757 482 1.16714 11 106 0.80997 1.16714 44.1% 19.4 5s
2163 644 1.04165 24 102 0.80997 1.09492 35.2% 18.6 10s
5039 1596 infeasible 52 0.80997 1.00613 24.2% 14.9 15s
7559 2347 cutoff 55 0.80997 0.98731 21.9% 14.0 20s
10422 2816 0.94837 42 89 0.80997 0.95005 17.3% 13.9 25s
12768 2910 infeasible 55 0.80997 0.92766 14.5% 13.6 30s
14781 2647 0.89157 48 80 0.80997 0.90126 11.3% 13.9 35s
17137 2437 infeasible 66 0.80997 0.87390 7.89% 13.8 40s
19444 2383 0.83514 77 50 0.80997 0.85584 5.66% 13.8 45s
21548 1813 infeasible 78 0.80997 0.84107 3.84% 13.9 50s
24185 1176 cutoff 80 0.80997 0.82479 1.83% 13.6 55s
Cutting planes:
Learned: 1
Gomory: 45
Cover: 2
Implied bound: 41
Projected implied bound: 49
Clique: 2
MIR: 15
Flow cover: 111
Inf proof: 260
Network: 1
Explored 25937 nodes (351937 simplex iterations) in 57.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.809968
Optimal solution found (tolerance 1.00e-02)
Best objective 8.099681679438e-01, best bound 8.178573093601e-01, gap 0.9740%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsgtc7c7f.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbams8baa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.795319
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.304056e+00, 1134 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30406 0 105 0.79532 1.30406 64.0% - 0s
0 0 1.28677 0 134 0.79532 1.28677 61.8% - 0s
0 0 1.28646 0 133 0.79532 1.28646 61.8% - 0s
0 0 1.24027 0 133 0.79532 1.24027 55.9% - 0s
0 0 1.24008 0 133 0.79532 1.24008 55.9% - 0s
0 0 1.23491 0 151 0.79532 1.23491 55.3% - 0s
0 0 1.23410 0 155 0.79532 1.23410 55.2% - 0s
0 0 1.22895 0 160 0.79532 1.22895 54.5% - 0s
0 0 1.22887 0 160 0.79532 1.22887 54.5% - 0s
0 0 1.22875 0 160 0.79532 1.22875 54.5% - 0s
0 0 1.22875 0 163 0.79532 1.22875 54.5% - 0s
0 0 1.22866 0 159 0.79532 1.22866 54.5% - 0s
0 0 1.22866 0 141 0.79532 1.22866 54.5% - 0s
0 2 1.22866 0 138 0.79532 1.22866 54.5% - 0s
757 435 infeasible 11 0.79532 1.12082 40.9% 17.8 5s
2334 700 0.95277 59 82 0.79532 1.04306 31.2% 16.3 10s
4940 1310 0.92521 82 66 0.79532 0.95841 20.5% 14.7 15s
7008 1687 0.83808 51 83 0.79532 0.92903 16.8% 14.0 20s
H 9435 1951 0.7953187 0.90313 13.6% 13.5 24s
9437 1866 infeasible 63 0.79532 0.90305 13.5% 13.5 25s
11860 1929 0.80724 74 66 0.79532 0.86941 9.32% 13.3 30s
14464 1981 infeasible 33 0.79532 0.84941 6.80% 13.3 35s
16666 1753 0.80603 61 78 0.79532 0.83448 4.92% 13.6 40s
18253 1396 0.82322 68 50 0.79532 0.82322 3.51% 13.8 45s
20578 893 infeasible 73 0.79532 0.81308 2.23% 14.0 50s
Cutting planes:
Gomory: 48
Cover: 5
Implied bound: 31
Projected implied bound: 49
MIR: 24
Flow cover: 95
Flow path: 1
Inf proof: 225
Explored 22212 nodes (312879 simplex iterations) in 54.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.795319 0.795319
Optimal solution found (tolerance 1.00e-02)
Best objective 7.953186973190e-01, best bound 8.024709011932e-01, gap 0.8993%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc8hfgxt8.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmozj0nyu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.792374
Presolve removed 650 rows and 405 columns
Presolve time: 0.03s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.319169e+00, 1103 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31917 0 104 0.79237 1.31917 66.5% - 0s
0 0 1.30107 0 118 0.79237 1.30107 64.2% - 0s
0 0 1.30089 0 117 0.79237 1.30089 64.2% - 0s
0 0 1.25311 0 122 0.79237 1.25311 58.1% - 0s
0 0 1.25302 0 123 0.79237 1.25302 58.1% - 0s
0 0 1.25014 0 126 0.79237 1.25014 57.8% - 0s
0 0 1.25012 0 126 0.79237 1.25012 57.8% - 0s
0 0 1.24859 0 139 0.79237 1.24859 57.6% - 0s
0 0 1.24753 0 126 0.79237 1.24753 57.4% - 0s
0 0 1.24670 0 125 0.79237 1.24670 57.3% - 0s
0 0 1.24663 0 127 0.79237 1.24663 57.3% - 0s
0 0 1.24648 0 131 0.79237 1.24648 57.3% - 0s
0 0 1.24645 0 131 0.79237 1.24645 57.3% - 0s
0 0 1.24644 0 134 0.79237 1.24644 57.3% - 0s
0 0 1.24644 0 108 0.79237 1.24644 57.3% - 0s
0 2 1.24644 0 105 0.79237 1.24644 57.3% - 0s
751 488 infeasible 16 0.79237 1.17341 48.1% 19.1 5s
* 1342 641 195 0.7926271 1.16484 47.0% 17.5 7s
2077 816 1.04904 31 113 0.79263 1.14677 44.7% 18.0 10s
3566 1270 1.01840 34 113 0.79263 1.08688 37.1% 20.6 15s
6154 1622 0.79565 98 49 0.79263 0.98816 24.7% 16.8 20s
9481 2430 infeasible 73 0.79263 0.94901 19.7% 14.4 25s
13484 3510 0.85226 61 74 0.79263 0.92701 17.0% 12.9 30s
H14208 3631 0.7929257 0.92197 16.3% 12.9 31s
15146 3613 0.86845 58 55 0.79293 0.91698 15.6% 13.0 35s
18204 4071 0.83580 78 64 0.79293 0.90200 13.8% 12.9 40s
20541 4398 0.87951 62 108 0.79293 0.88965 12.2% 13.0 60s
20553 4406 0.86810 96 207 0.79293 0.88965 12.2% 13.0 65s
20560 4411 0.85168 57 218 0.79293 0.88965 12.2% 13.0 71s
20565 4414 0.81449 89 215 0.79293 0.88965 12.2% 13.0 75s
20575 4421 0.82948 86 218 0.79293 0.88965 12.2% 12.9 81s
20581 4425 0.85417 36 215 0.79293 0.88965 12.2% 12.9 85s
20586 4428 0.86358 79 208 0.79293 0.88965 12.2% 12.9 90s
20591 4431 0.86944 69 205 0.79293 0.88965 12.2% 12.9 96s
20594 4433 0.82613 94 215 0.79293 0.88965 12.2% 12.9 100s
20598 4436 0.83013 52 218 0.79293 0.88965 12.2% 12.9 105s
20604 4440 0.86476 85 222 0.79293 0.88965 12.2% 12.9 110s
20611 4445 0.82598 79 222 0.79293 0.88965 12.2% 12.9 115s
20615 4447 0.85667 44 231 0.79293 0.88965 12.2% 12.9 120s
20619 4450 0.82253 82 238 0.79293 0.88965 12.2% 12.9 125s
20623 4453 0.86602 80 240 0.79293 0.88965 12.2% 12.9 131s
20627 4455 0.83242 78 234 0.79293 0.88965 12.2% 12.9 136s
20631 4458 0.86460 58 235 0.79293 0.88965 12.2% 12.9 140s
20635 4461 0.86370 76 237 0.79293 0.88965 12.2% 12.9 145s
20639 4463 0.83354 90 235 0.79293 0.88965 12.2% 12.9 150s
20645 4467 0.86163 66 237 0.79293 0.88965 12.2% 12.9 155s
20650 4471 0.88693 56 242 0.79293 0.88965 12.2% 12.9 160s
20655 4474 0.83442 39 246 0.79293 0.88965 12.2% 12.9 165s
20660 4477 0.85168 57 242 0.79293 0.88965 12.2% 12.9 170s
20666 4481 0.84077 76 241 0.79293 0.88965 12.2% 12.9 176s
20670 4484 0.85042 64 241 0.79293 0.88965 12.2% 12.9 180s
H20671 4258 0.7929257 0.88965 12.2% 12.9 182s
20676 4261 0.81892 85 239 0.79293 0.88965 12.2% 12.9 185s
20682 4265 0.81756 72 245 0.79293 0.88965 12.2% 12.9 190s
20689 4270 0.80731 96 242 0.79293 0.88965 12.2% 12.9 195s
20694 4273 0.82613 94 248 0.79293 0.88965 12.2% 12.9 200s
20701 4278 0.86842 93 237 0.79293 0.88965 12.2% 12.9 206s
20706 4281 0.83502 109 244 0.79293 0.88965 12.2% 12.9 210s
20712 4285 0.80679 81 243 0.79293 0.88965 12.2% 12.9 216s
20716 4288 0.86412 51 242 0.79293 0.88965 12.2% 12.9 220s
20720 4290 0.80424 106 254 0.79293 0.88965 12.2% 12.9 225s
20725 4294 0.79683 80 250 0.79293 0.88965 12.2% 12.9 230s
20729 4296 0.87474 75 254 0.79293 0.88965 12.2% 12.9 235s
20734 4300 0.83908 77 241 0.79293 0.88965 12.2% 12.9 241s
20738 4302 0.85615 69 233 0.79293 0.88965 12.2% 12.8 246s
20740 4304 0.81275 88 244 0.79293 0.88965 12.2% 12.8 250s
20744 4306 0.86625 74 244 0.79293 0.88965 12.2% 12.8 255s
20748 4309 0.87478 72 239 0.79293 0.88965 12.2% 12.8 260s
20752 4312 0.88647 66 235 0.79293 0.88965 12.2% 12.8 266s
20756 4314 0.82517 115 242 0.79293 0.88965 12.2% 12.8 271s
20759 4316 0.80674 174 241 0.79293 0.88965 12.2% 12.8 275s
20763 4319 0.87506 62 241 0.79293 0.88965 12.2% 12.8 280s
20764 4321 infeasible 26 0.79293 0.88965 12.2% 15.0 287s
20766 4320 0.88965 27 226 0.79293 0.88965 12.2% 15.0 293s
20768 4321 0.88965 28 238 0.79293 0.88965 12.2% 15.0 299s
20776 4319 0.88965 31 223 0.79293 0.88965 12.2% 15.1 300s
20847 4306 infeasible 41 0.79293 0.88965 12.2% 15.7 305s
H20873 4081 0.7929258 0.88965 12.2% 15.8 306s
21058 4057 0.84561 47 177 0.79293 0.88965 12.2% 16.4 310s
21446 4076 infeasible 65 0.79293 0.87712 10.6% 17.1 315s
21672 4084 0.80575 46 148 0.79293 0.86941 9.65% 17.9 321s
22048 4129 0.84898 58 97 0.79293 0.86170 8.67% 18.4 325s
22328 4124 0.79804 80 59 0.79293 0.85987 8.44% 19.0 330s
22928 4102 cutoff 55 0.79293 0.85185 7.43% 19.7 335s
23426 4051 0.80313 58 113 0.79293 0.84762 6.90% 20.4 340s
24091 3955 infeasible 71 0.79293 0.84264 6.27% 21.2 346s
24685 3829 0.83561 53 117 0.79293 0.83677 5.53% 21.9 350s
25266 3704 infeasible 61 0.79293 0.83259 5.00% 22.4 356s
25926 3578 cutoff 45 0.79293 0.82889 4.54% 23.2 364s
25943 3529 0.82164 57 105 0.79293 0.82888 4.53% 23.2 366s
26497 3346 0.79435 58 46 0.79293 0.82430 3.96% 23.7 370s
27462 3007 0.80693 61 81 0.79293 0.81866 3.25% 24.5 376s
28194 2723 0.81402 64 73 0.79293 0.81436 2.70% 24.9 381s
28891 2433 cutoff 61 0.79293 0.81107 2.29% 25.2 385s
29998 1970 infeasible 68 0.79293 0.80649 1.71% 25.4 390s
31001 1363 cutoff 60 0.79293 0.80211 1.16% 25.5 395s
Cutting planes:
Learned: 4
Gomory: 179
Cover: 13
Implied bound: 33
Projected implied bound: 52
Clique: 12
MIR: 179
StrongCG: 3
Flow cover: 511
Flow path: 1
Inf proof: 85
Zero half: 2
Explored 31412 nodes (804080 simplex iterations) in 396.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.792926 0.792926 0.792926 ... 0.792374
Optimal solution found (tolerance 1.00e-02)
Best objective 7.929257196487e-01, best bound 8.003325828538e-01, gap 0.9341%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppvbj3ada.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppzkqki20.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.781892
Presolve removed 663 rows and 413 columns
Presolve time: 0.03s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.305414e+00, 1171 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30541 0 114 0.78189 1.30541 67.0% - 0s
0 0 1.28972 0 149 0.78189 1.28972 64.9% - 0s
0 0 1.28966 0 148 0.78189 1.28966 64.9% - 0s
0 0 1.24199 0 135 0.78189 1.24199 58.8% - 0s
0 0 1.24039 0 128 0.78189 1.24039 58.6% - 0s
0 0 1.23587 0 148 0.78189 1.23587 58.1% - 0s
0 0 1.23570 0 145 0.78189 1.23570 58.0% - 0s
0 0 1.23546 0 150 0.78189 1.23546 58.0% - 0s
0 0 1.23546 0 151 0.78189 1.23546 58.0% - 0s
0 0 1.23543 0 152 0.78189 1.23543 58.0% - 0s
0 0 1.23540 0 152 0.78189 1.23540 58.0% - 0s
0 0 1.23537 0 152 0.78189 1.23537 58.0% - 0s
0 0 1.23537 0 130 0.78189 1.23537 58.0% - 0s
0 2 1.23537 0 123 0.78189 1.23537 58.0% - 0s
758 449 1.14932 14 105 0.78189 1.14932 47.0% 20.3 5s
1986 519 0.84576 47 100 0.78189 1.09866 40.5% 21.5 10s
5020 1761 0.95606 50 82 0.78189 1.00747 28.9% 16.3 15s
7866 2646 0.86843 52 100 0.78189 0.97455 24.6% 14.9 20s
11251 3196 infeasible 38 0.78189 0.93265 19.3% 13.5 25s
H12816 3420 0.7818918 0.91355 16.8% 13.1 27s
14379 3654 0.84859 63 55 0.78189 0.89920 15.0% 12.8 30s
15806 3708 infeasible 56 0.78189 0.88573 13.3% 12.6 35s
18872 4080 infeasible 72 0.78189 0.86852 11.1% 12.3 40s
20836 4252 0.83872 58 98 0.78189 0.85938 9.91% 12.3 57s
22294 4504 0.81515 65 75 0.78189 0.85599 9.48% 12.3 60s
24779 4661 0.81132 78 75 0.78189 0.84966 8.67% 12.7 65s
26602 4717 0.81719 42 68 0.78189 0.84524 8.10% 13.2 70s
28987 4723 0.83440 46 129 0.78189 0.83927 7.34% 13.7 75s
30878 4578 0.83384 55 111 0.78189 0.83499 6.79% 14.1 80s
32741 4439 cutoff 90 0.78189 0.83059 6.23% 14.5 85s
34810 4188 infeasible 62 0.78189 0.82538 5.56% 14.7 90s
37118 3934 0.81193 83 64 0.78189 0.82014 4.89% 15.1 95s
39230 3604 0.81096 78 79 0.78189 0.81582 4.34% 15.4 100s
41488 3127 0.80605 58 71 0.78189 0.81049 3.66% 15.6 105s
43445 2714 cutoff 76 0.78189 0.80579 3.06% 15.7 110s
45530 2132 infeasible 80 0.78189 0.79935 2.23% 15.9 115s
47788 1209 cutoff 116 0.78189 0.79257 1.37% 16.0 120s
Cutting planes:
Gomory: 60
Cover: 5
Implied bound: 39
Projected implied bound: 50
Clique: 2
MIR: 45
Flow cover: 151
Flow path: 3
Inf proof: 441
Explored 48629 nodes (779494 simplex iterations) in 121.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.781892 0.781892
Optimal solution found (tolerance 1.00e-02)
Best objective 7.818918412413e-01, best bound 7.894885845117e-01, gap 0.9716%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpko3z5ey0.pyomo.lp
Reading time = 0.02 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0ipbxz8j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.779758
Presolve removed 676 rows and 421 columns
Presolve time: 0.05s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.291647e+00, 1209 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29165 0 114 0.77976 1.29165 65.6% - 0s
0 0 1.27546 0 141 0.77976 1.27546 63.6% - 0s
0 0 1.27394 0 137 0.77976 1.27394 63.4% - 0s
0 0 1.22478 0 137 0.77976 1.22478 57.1% - 0s
0 0 1.22443 0 133 0.77976 1.22443 57.0% - 0s
0 0 1.22235 0 144 0.77976 1.22235 56.8% - 0s
0 0 1.22223 0 143 0.77976 1.22223 56.7% - 0s
0 0 1.22214 0 157 0.77976 1.22214 56.7% - 0s
0 0 1.22214 0 158 0.77976 1.22214 56.7% - 0s
0 0 1.22207 0 152 0.77976 1.22207 56.7% - 0s
0 0 1.22207 0 128 0.77976 1.22207 56.7% - 0s
0 2 1.22207 0 127 0.77976 1.22207 56.7% - 0s
758 502 1.05098 50 140 0.77976 1.13621 45.7% 13.8 5s
1566 691 1.03870 28 134 0.77976 1.13266 45.3% 19.7 10s
3263 1050 0.93225 28 113 0.77976 1.04814 34.4% 18.9 15s
H 4568 1204 0.7797584 0.99913 28.1% 16.9 17s
6036 1561 infeasible 54 0.77976 0.97406 24.9% 15.4 20s
8576 2236 0.80992 61 83 0.77976 0.94191 20.8% 14.3 25s
11452 3117 0.91532 62 68 0.77976 0.93000 19.3% 13.5 30s
14504 3885 0.91100 88 64 0.77976 0.91198 17.0% 13.4 35s
H17248 4555 0.7797584 0.90372 15.9% 13.2 40s
19522 4831 0.78501 91 24 0.77976 0.89344 14.6% 13.5 45s
20807 5108 0.79277 88 128 0.77976 0.88953 14.1% 13.5 63s
H20808 4853 0.7797584 0.88953 14.1% 13.5 63s
20815 4857 0.81711 83 194 0.77976 0.88953 14.1% 13.5 65s
20820 4861 0.78704 79 204 0.77976 0.88953 14.1% 13.5 70s
20825 4864 0.85504 49 213 0.77976 0.88953 14.1% 13.5 75s
20830 4867 0.82503 68 222 0.77976 0.88953 14.1% 13.5 80s
20834 4870 0.78869 97 236 0.77976 0.88953 14.1% 13.5 85s
20838 4873 0.86633 78 240 0.77976 0.88953 14.1% 13.5 90s
20842 4875 0.84634 97 244 0.77976 0.88953 14.1% 13.5 95s
20848 4879 0.83180 67 261 0.77976 0.88953 14.1% 13.5 101s
20850 4881 0.88067 52 257 0.77976 0.88953 14.1% 13.5 105s
20854 4883 0.79132 78 228 0.77976 0.88953 14.1% 13.5 110s
20859 4887 0.79349 76 240 0.77976 0.88953 14.1% 13.5 117s
20862 4889 0.82637 87 236 0.77976 0.88953 14.1% 13.5 120s
20865 4891 0.88121 66 216 0.77976 0.88953 14.1% 13.5 125s
20869 4893 0.78527 65 222 0.77976 0.88953 14.1% 13.5 130s
20875 4897 0.78185 89 235 0.77976 0.88953 14.1% 13.5 135s
20880 4901 0.78497 91 251 0.77976 0.88953 14.1% 13.5 140s
20885 4904 0.88470 71 246 0.77976 0.88953 14.1% 13.5 146s
20889 4907 0.84263 58 237 0.77976 0.88953 14.1% 13.5 150s
20894 4910 0.81662 81 246 0.77976 0.88953 14.1% 13.5 156s
20898 4913 0.83274 55 252 0.77976 0.88953 14.1% 13.5 161s
20901 4915 0.88185 57 256 0.77976 0.88953 14.1% 13.5 165s
20904 4917 0.88498 63 236 0.77976 0.88953 14.1% 13.5 170s
20909 4920 0.83460 78 239 0.77976 0.88953 14.1% 13.5 176s
20913 4923 0.80156 87 228 0.77976 0.88953 14.1% 13.5 181s
20915 4924 0.81711 83 239 0.77976 0.88953 14.1% 13.5 185s
20921 4928 0.78608 105 242 0.77976 0.88953 14.1% 13.5 190s
20927 4932 0.78350 97 245 0.77976 0.88953 14.1% 13.5 195s
20932 4935 0.84752 63 247 0.77976 0.88953 14.1% 13.5 200s
20937 4939 0.85648 54 245 0.77976 0.88953 14.1% 13.4 205s
20941 4941 0.82744 132 252 0.77976 0.88953 14.1% 13.4 210s
20945 4944 0.84513 50 249 0.77976 0.88953 14.1% 13.4 215s
20949 4947 0.80417 79 248 0.77976 0.88953 14.1% 13.4 220s
20953 4949 0.83941 60 258 0.77976 0.88953 14.1% 13.4 225s
20957 4952 0.86186 73 257 0.77976 0.88953 14.1% 13.4 230s
20961 4955 0.79753 88 249 0.77976 0.88953 14.1% 13.4 235s
20965 4957 0.88121 66 252 0.77976 0.88953 14.1% 13.4 240s
20969 4960 0.78527 65 250 0.77976 0.88953 14.1% 13.4 245s
20974 4963 0.83567 65 248 0.77976 0.88953 14.1% 13.4 250s
20979 4967 0.81662 81 255 0.77976 0.88953 14.1% 13.4 256s
20983 4969 0.84369 83 241 0.77976 0.88953 14.1% 13.4 261s
20985 4971 0.88470 71 261 0.77976 0.88953 14.1% 13.4 265s
20989 4973 0.84263 58 256 0.77976 0.88953 14.1% 13.4 270s
20992 4975 0.80964 54 259 0.77976 0.88953 14.1% 13.4 275s
20996 4978 0.88017 73 261 0.77976 0.88953 14.1% 13.4 280s
21002 4982 0.83554 67 257 0.77976 0.88953 14.1% 13.4 285s
21005 4984 0.83568 69 257 0.77976 0.88953 14.1% 13.4 290s
21011 4988 0.83770 79 241 0.77976 0.88953 14.1% 13.4 296s
21015 4991 0.81711 83 237 0.77976 0.88953 14.1% 13.4 300s
21020 4994 0.78704 79 248 0.77976 0.88953 14.1% 13.4 305s
21024 4997 0.84300 83 240 0.77976 0.88953 14.1% 13.4 310s
21025 4998 0.88953 29 213 0.77976 0.88953 14.1% 15.9 317s
21027 4999 0.88953 30 237 0.77976 0.88953 14.1% 15.9 323s
21032 5000 0.88953 32 223 0.77976 0.88953 14.1% 16.0 325s
21089 5005 cutoff 41 0.77976 0.88953 14.1% 16.5 330s
21170 5002 infeasible 45 0.77976 0.88953 14.1% 17.2 336s
21248 4979 0.85227 46 202 0.77976 0.88953 14.1% 18.1 340s
21369 4971 0.81259 69 142 0.77976 0.88953 14.1% 19.2 345s
21715 5036 0.81615 74 107 0.77976 0.88953 14.1% 20.0 350s
21907 5055 0.81071 82 86 0.77976 0.88953 14.1% 20.6 355s
22206 5039 cutoff 62 0.77976 0.88953 14.1% 21.7 360s
22494 5020 cutoff 69 0.77976 0.88953 14.1% 22.5 366s
22688 4999 0.83013 61 162 0.77976 0.88953 14.1% 23.1 370s
22927 4984 0.81552 61 183 0.77976 0.88747 13.8% 24.0 375s
23242 4950 cutoff 58 0.77976 0.87906 12.7% 24.9 380s
23706 4929 0.84713 61 157 0.77976 0.87350 12.0% 25.8 386s
24200 4963 0.79883 57 151 0.77976 0.87012 11.6% 26.3 390s
24720 4997 0.85682 61 158 0.77976 0.86668 11.1% 26.8 395s
25108 4954 0.86296 60 145 0.77976 0.86296 10.7% 27.2 400s
25544 4944 infeasible 49 0.77976 0.85995 10.3% 27.7 405s
26215 4981 0.80184 72 94 0.77976 0.85606 9.78% 28.2 413s
26339 4969 0.79891 78 77 0.77976 0.85586 9.76% 28.2 415s
27052 4939 0.81474 51 172 0.77976 0.85129 9.17% 28.8 422s
27389 4866 cutoff 68 0.77976 0.84945 8.94% 29.2 425s
28266 4763 infeasible 49 0.77976 0.84728 8.66% 29.9 431s
28512 4703 0.79946 50 172 0.77976 0.84479 8.34% 30.0 435s
29542 4539 infeasible 46 0.77976 0.83844 7.53% 30.4 441s
30089 4463 0.79259 38 210 0.77976 0.83658 7.29% 30.7 445s
31326 4243 0.78946 56 144 0.77976 0.83165 6.66% 30.7 453s
31924 4118 infeasible 68 0.77976 0.82964 6.40% 30.8 457s
32557 4004 0.82232 65 88 0.77976 0.82751 6.12% 30.8 461s
33582 3843 infeasible 70 0.77976 0.82402 5.68% 30.8 467s
33617 3754 0.79914 66 90 0.77976 0.82389 5.66% 30.9 471s
34560 3462 0.79779 63 94 0.77976 0.82050 5.22% 31.0 476s
35536 3202 cutoff 68 0.77976 0.81762 4.86% 31.0 481s
36475 3083 0.79984 69 100 0.77976 0.81468 4.48% 30.9 485s
37644 3032 0.80119 69 99 0.77976 0.81203 4.14% 30.9 491s
38372 2988 infeasible 71 0.77976 0.80882 3.73% 30.8 495s
39577 2924 infeasible 73 0.77976 0.80588 3.35% 30.7 500s
40649 2853 0.79989 66 55 0.77976 0.80329 3.02% 30.6 506s
41724 2749 infeasible 69 0.77976 0.80105 2.73% 30.5 511s
42295 2649 infeasible 75 0.77976 0.79976 2.56% 30.4 515s
43367 2425 0.78923 71 59 0.77976 0.79727 2.25% 30.3 520s
44610 2101 infeasible 66 0.77976 0.79432 1.87% 30.2 525s
45613 1739 cutoff 76 0.77976 0.79169 1.53% 30.0 530s
46756 1272 cutoff 80 0.77976 0.78880 1.16% 29.8 535s
Cutting planes:
Learned: 3
Gomory: 219
Cover: 20
Implied bound: 42
Projected implied bound: 52
Clique: 12
MIR: 270
StrongCG: 4
Flow cover: 692
Flow path: 3
Inf proof: 215
Zero half: 1
Explored 47337 nodes (1405164 simplex iterations) in 536.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.779758 0.779758 0.779758 0.779758
Optimal solution found (tolerance 1.00e-02)
Best objective 7.797584365678e-01, best bound 7.874420658778e-01, gap 0.9854%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp65hnvb75.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmsf4p7sq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.765382
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.264481e+00, 1307 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26448 0 115 0.76538 1.26448 65.2% - 0s
0 0 1.24727 0 132 0.76538 1.24727 63.0% - 0s
0 0 1.24711 0 131 0.76538 1.24711 62.9% - 0s
0 0 1.24387 0 156 0.76538 1.24387 62.5% - 0s
0 0 1.24276 0 158 0.76538 1.24276 62.4% - 0s
0 0 1.24067 0 165 0.76538 1.24067 62.1% - 0s
0 0 1.24064 0 165 0.76538 1.24064 62.1% - 0s
0 0 1.23959 0 172 0.76538 1.23959 62.0% - 0s
0 0 1.23958 0 170 0.76538 1.23958 62.0% - 0s
0 0 1.23927 0 174 0.76538 1.23927 61.9% - 0s
0 0 1.23927 0 174 0.76538 1.23927 61.9% - 0s
0 0 1.23924 0 179 0.76538 1.23924 61.9% - 0s
0 0 1.23921 0 179 0.76538 1.23921 61.9% - 0s
0 0 1.23921 0 152 0.76538 1.23921 61.9% - 0s
0 2 1.23921 0 151 0.76538 1.23921 61.9% - 0s
1100 552 1.13500 25 121 0.76538 1.13877 48.8% 16.8 5s
4203 1148 0.89113 92 66 0.76538 1.01607 32.8% 11.4 10s
H 6103 1677 0.7653824 0.97089 26.9% 10.4 12s
8199 2039 0.87258 79 58 0.76538 0.93608 22.3% 9.5 15s
13445 3408 0.78482 96 60 0.76538 0.89560 17.0% 8.3 20s
16633 4165 0.88365 58 87 0.76538 0.88417 15.5% 8.0 25s
20277 5161 0.79003 92 55 0.76538 0.87314 14.1% 7.9 30s
21456 5586 0.77965 83 152 0.76538 0.87142 13.9% 7.7 48s
21469 5595 0.78444 103 183 0.76538 0.87142 13.9% 7.7 50s
21482 5603 0.77079 109 196 0.76538 0.87142 13.9% 7.7 55s
21496 5613 0.84376 74 183 0.76538 0.87142 13.9% 7.7 60s
21500 5615 0.87142 30 146 0.76538 0.87142 13.9% 7.3 65s
21514 5615 0.87142 36 147 0.76538 0.87142 13.9% 7.4 70s
22515 5736 infeasible 47 0.76538 0.87142 13.9% 7.9 75s
24563 6018 0.87142 63 113 0.76538 0.87142 13.9% 8.5 80s
26829 6150 0.78855 55 91 0.76538 0.87142 13.9% 8.9 85s
29279 6256 0.79333 60 116 0.76538 0.87142 13.9% 9.4 90s
31772 5915 infeasible 50 0.76538 0.86893 13.5% 9.7 95s
34787 5634 0.78216 65 79 0.76538 0.85055 11.1% 10.0 100s
37452 5161 0.80659 74 82 0.76538 0.83840 9.54% 10.1 105s
40638 5600 0.80264 64 100 0.76538 0.82592 7.91% 10.3 110s
44031 6264 infeasible 72 0.76538 0.81676 6.71% 10.4 115s
46809 6574 0.78181 59 90 0.76538 0.80896 5.69% 10.5 120s
49702 6828 cutoff 72 0.76538 0.80196 4.78% 10.6 125s
52391 7014 infeasible 74 0.76538 0.79639 4.05% 10.7 130s
*53585 7214 134 0.7653824 0.79445 3.80% 10.7 132s
53857 7256 0.77128 64 75 0.76538 0.79393 3.73% 10.7 135s
55757 7004 0.76670 105 33 0.76538 0.78942 3.14% 10.9 140s
H57216 6909 0.7653824 0.78719 2.85% 10.9 145s
58674 6376 infeasible 64 0.76538 0.78463 2.52% 11.0 150s
60143 5893 infeasible 62 0.76538 0.78247 2.23% 11.1 155s
62121 5207 0.77434 64 101 0.76538 0.77973 1.87% 11.1 160s
64116 4591 infeasible 67 0.76538 0.77734 1.56% 11.2 165s
66294 3733 cutoff 73 0.76538 0.77433 1.17% 11.2 170s
Cutting planes:
Learned: 2
Gomory: 98
Cover: 2
Implied bound: 16
Projected implied bound: 33
Clique: 3
MIR: 23
Flow cover: 81
GUB cover: 1
Explored 67537 nodes (773164 simplex iterations) in 172.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.765382 0.765382 0.765382 0.765382
Optimal solution found (tolerance 1.00e-02)
Best objective 7.653823987455e-01, best bound 7.729730206340e-01, gap 0.9917%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpywtvylyi.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpejlfcbgz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.754428
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.249225e+00, 1275 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24923 0 111 0.75443 1.24923 65.6% - 0s
0 0 1.23380 0 152 0.75443 1.23380 63.5% - 0s
0 0 1.23292 0 152 0.75443 1.23292 63.4% - 0s
0 0 1.19447 0 147 0.75443 1.19447 58.3% - 0s
0 0 1.19284 0 137 0.75443 1.19284 58.1% - 0s
0 0 1.19011 0 149 0.75443 1.19011 57.8% - 0s
0 0 1.19000 0 153 0.75443 1.19000 57.7% - 0s
0 0 1.18453 0 152 0.75443 1.18453 57.0% - 0s
0 0 1.18446 0 152 0.75443 1.18446 57.0% - 0s
0 0 1.18283 0 154 0.75443 1.18283 56.8% - 0s
0 0 1.18228 0 152 0.75443 1.18228 56.7% - 0s
0 0 1.18208 0 165 0.75443 1.18208 56.7% - 0s
0 0 1.18206 0 164 0.75443 1.18206 56.7% - 0s
0 0 1.18205 0 163 0.75443 1.18205 56.7% - 0s
0 0 1.18205 0 162 0.75443 1.18205 56.7% - 0s
0 0 1.18190 0 157 0.75443 1.18190 56.7% - 0s
0 0 1.18190 0 121 0.75443 1.18190 56.7% - 0s
0 2 1.18190 0 117 0.75443 1.18190 56.7% - 0s
750 537 1.06234 7 127 0.75443 1.10428 46.4% 11.9 5s
1788 655 0.99208 40 129 0.75443 1.03115 36.7% 17.1 10s
4470 1296 0.92783 58 102 0.75443 0.95984 27.2% 13.8 15s
6075 1583 0.87467 74 95 0.75443 0.92802 23.0% 13.3 20s
8825 2258 0.86070 63 90 0.75443 0.90335 19.7% 12.9 25s
11929 3262 0.78552 89 50 0.75443 0.88279 17.0% 12.6 30s
H13066 3548 0.7544283 0.87728 16.3% 12.7 32s
13601 3672 infeasible 57 0.75443 0.87540 16.0% 12.7 35s
16434 4439 0.76375 89 64 0.75443 0.86833 15.1% 12.8 40s
18562 4843 infeasible 81 0.75443 0.86360 14.5% 13.1 45s
20381 5055 0.77490 59 63 0.75443 0.85869 13.8% 13.4 50s
21035 5277 0.80794 78 121 0.75443 0.85805 13.7% 13.3 69s
21038 5279 0.81597 73 168 0.75443 0.85805 13.7% 13.3 70s
21046 5284 0.80275 118 219 0.75443 0.85805 13.7% 13.3 75s
21051 5288 0.83140 80 247 0.75443 0.85805 13.7% 13.3 80s
21056 5291 0.77800 94 242 0.75443 0.85805 13.7% 13.3 87s
21061 5294 0.85253 75 262 0.75443 0.85805 13.7% 13.3 90s
21066 5298 0.78693 92 250 0.75443 0.85805 13.7% 13.3 95s
21069 5300 0.82397 105 261 0.75443 0.85805 13.7% 13.3 100s
21075 5304 0.84539 79 257 0.75443 0.85805 13.7% 13.3 105s
21078 5306 0.85704 65 260 0.75443 0.85805 13.7% 13.3 110s
21084 5310 0.84945 81 272 0.75443 0.85805 13.7% 13.3 115s
21089 5313 0.79307 87 276 0.75443 0.85805 13.7% 13.3 120s
21092 5315 0.82396 91 272 0.75443 0.85805 13.7% 13.3 125s
21096 5318 0.76645 80 278 0.75443 0.85805 13.7% 13.3 131s
21100 5320 0.79019 58 284 0.75443 0.85805 13.7% 13.3 135s
21103 5322 0.78978 69 289 0.75443 0.85805 13.7% 13.3 140s
21107 5325 0.83087 65 298 0.75443 0.85805 13.7% 13.3 146s
21112 5328 0.80096 72 294 0.75443 0.85805 13.7% 13.3 151s
21116 5331 0.75717 95 295 0.75443 0.85805 13.7% 13.3 156s
21120 5334 0.78395 73 293 0.75443 0.85805 13.7% 13.3 161s
21123 5336 0.79344 120 290 0.75443 0.85805 13.7% 13.3 165s
21127 5338 0.81872 99 300 0.75443 0.85805 13.7% 13.3 171s
Cutting planes:
Gomory: 111
Cover: 10
Implied bound: 21
Projected implied bound: 32
Clique: 4
MIR: 92
StrongCG: 6
Flow cover: 300
Flow path: 2
Inf proof: 18
Zero half: 2
Explored 21127 nodes (318441 simplex iterations) in 175.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.754428 0.754428
Optimal solution found (tolerance 1.00e-02)
Best objective 7.544283122138e-01, best bound 7.544283122138e-01, gap 0.0000%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6kjw0jek.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi1ngnko7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.748287
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.245301e+00, 1208 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24530 0 115 0.74829 1.24530 66.4% - 0s
0 0 1.23091 0 128 0.74829 1.23091 64.5% - 0s
0 0 1.22966 0 132 0.74829 1.22966 64.3% - 0s
0 0 1.19466 0 144 0.74829 1.19466 59.7% - 0s
0 0 1.19460 0 145 0.74829 1.19460 59.6% - 0s
0 0 1.18901 0 155 0.74829 1.18901 58.9% - 0s
0 0 1.18754 0 156 0.74829 1.18754 58.7% - 0s
0 0 1.18189 0 161 0.74829 1.18189 57.9% - 0s
0 0 1.18176 0 162 0.74829 1.18176 57.9% - 0s
0 0 1.18068 0 162 0.74829 1.18068 57.8% - 0s
0 0 1.18067 0 166 0.74829 1.18067 57.8% - 0s
0 0 1.18059 0 165 0.74829 1.18059 57.8% - 0s
0 0 1.18052 0 164 0.74829 1.18052 57.8% - 0s
0 0 1.18051 0 163 0.74829 1.18051 57.8% - 0s
0 0 1.18051 0 136 0.74829 1.18051 57.8% - 0s
0 2 1.18051 0 136 0.74829 1.18051 57.8% - 0s
745 535 0.91676 56 128 0.74829 1.12479 50.3% 16.0 5s
1270 660 1.09517 25 143 0.74829 1.11251 48.7% 23.5 10s
2606 904 0.89848 35 136 0.74829 1.07210 43.3% 24.8 15s
H 3509 1192 0.7485592 1.03975 38.9% 24.0 19s
H 3513 1193 0.7485592 1.03975 38.9% 24.0 19s
H 3518 1193 0.7487259 1.03975 38.9% 24.0 19s
3602 1152 0.95181 43 106 0.74873 1.03718 38.5% 23.8 20s
6531 1550 infeasible 30 0.74873 0.95738 27.9% 18.4 25s
10117 2504 0.85204 51 101 0.74873 0.92259 23.2% 15.7 30s
13299 3116 0.84960 61 80 0.74873 0.90796 21.3% 15.1 35s
16568 4023 0.76801 44 129 0.74873 0.89477 19.5% 14.4 40s
18963 4498 0.82001 56 74 0.74873 0.88697 18.5% 14.1 45s
21203 5110 infeasible 86 0.74873 0.87834 17.3% 13.8 61s
23268 5530 0.75624 121 32 0.74873 0.87268 16.6% 14.0 65s
25622 6038 0.76313 96 52 0.74873 0.86812 15.9% 14.3 70s
27814 6456 0.84522 70 101 0.74873 0.86329 15.3% 14.5 75s
30007 6913 0.79844 65 77 0.74873 0.85811 14.6% 14.8 80s
32501 7345 0.82389 53 136 0.74873 0.85257 13.9% 15.0 85s
34954 7849 0.77747 52 137 0.74873 0.84836 13.3% 15.2 90s
36739 8158 0.77084 54 155 0.74873 0.84519 12.9% 15.4 95s
38901 8453 0.78505 72 67 0.74873 0.84108 12.3% 15.6 100s
40819 8704 0.77266 74 81 0.74873 0.83763 11.9% 15.7 105s
43275 9108 0.81315 60 136 0.74873 0.83292 11.2% 15.8 110s
45056 9160 0.79982 86 96 0.74873 0.82908 10.7% 16.0 115s
47184 9242 0.79316 88 76 0.74873 0.82469 10.1% 16.1 120s
49199 9276 infeasible 88 0.74873 0.82056 9.59% 16.2 125s
50745 9428 0.79728 71 116 0.74873 0.81745 9.18% 16.3 131s
H50762 9428 0.7487259 0.81745 9.18% 16.3 131s
51723 9410 infeasible 51 0.74873 0.81550 8.92% 16.4 135s
53654 9368 infeasible 106 0.74873 0.81132 8.36% 16.5 140s
55352 9357 infeasible 71 0.74873 0.80804 7.92% 16.5 145s
57007 9261 0.75808 97 61 0.74873 0.80446 7.44% 16.6 150s
58670 9173 cutoff 85 0.74873 0.80112 7.00% 16.7 155s
60741 8870 infeasible 99 0.74873 0.79677 6.42% 16.9 160s
62194 8609 0.78666 68 114 0.74873 0.79414 6.07% 17.0 165s
64085 8228 infeasible 58 0.74873 0.79051 5.58% 17.1 170s
65853 7811 infeasible 83 0.74873 0.78697 5.11% 17.3 175s
67679 7411 infeasible 97 0.74873 0.78391 4.70% 17.4 180s
69246 7058 infeasible 94 0.74873 0.78149 4.38% 17.4 185s
71223 6534 infeasible 83 0.74873 0.77837 3.96% 17.5 190s
73012 5964 infeasible 81 0.74873 0.77544 3.57% 17.6 195s
74874 5328 cutoff 55 0.74873 0.77246 3.17% 17.6 200s
77067 4604 0.76538 69 98 0.74873 0.76924 2.74% 17.6 205s
79016 3738 infeasible 85 0.74873 0.76624 2.34% 17.7 210s
81144 2764 infeasible 61 0.74873 0.76295 1.90% 17.7 215s
82654 1983 0.75224 84 47 0.74873 0.75977 1.48% 17.6 220s
Cutting planes:
Learned: 5
Gomory: 110
Cover: 7
Implied bound: 74
Projected implied bound: 53
Clique: 4
MIR: 50
Flow cover: 192
Flow path: 1
Inf proof: 529
Explored 84430 nodes (1487280 simplex iterations) in 223.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.748726 0.748726 0.748559 ... 0.748287
Optimal solution found (tolerance 1.00e-02)
Best objective 7.487258974264e-01, best bound 7.560615808715e-01, gap 0.9798%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67ckrind.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprfhslmk7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.739997
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.227832e+00, 1322 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22783 0 120 0.74000 1.22783 65.9% - 0s
0 0 1.21206 0 134 0.74000 1.21206 63.8% - 0s
0 0 1.21182 0 134 0.74000 1.21182 63.8% - 0s
0 0 1.18137 0 164 0.74000 1.18137 59.6% - 0s
0 0 1.18076 0 166 0.74000 1.18076 59.6% - 0s
0 0 1.17848 0 184 0.74000 1.17848 59.3% - 0s
0 0 1.17839 0 187 0.74000 1.17839 59.2% - 0s
0 0 1.17753 0 180 0.74000 1.17753 59.1% - 0s
0 0 1.17751 0 180 0.74000 1.17751 59.1% - 0s
0 0 1.17724 0 178 0.74000 1.17724 59.1% - 0s
0 0 1.17723 0 182 0.74000 1.17723 59.1% - 0s
0 0 1.17713 0 186 0.74000 1.17713 59.1% - 0s
0 0 1.16903 0 185 0.74000 1.16903 58.0% - 0s
0 0 1.16903 0 185 0.74000 1.16903 58.0% - 0s
0 0 1.16903 0 186 0.74000 1.16903 58.0% - 0s
0 0 1.16903 0 159 0.74000 1.16903 58.0% - 0s
0 0 1.16903 0 159 0.74000 1.16903 58.0% - 0s
0 0 1.16902 0 163 0.74000 1.16902 58.0% - 0s
0 0 1.16902 0 163 0.74000 1.16902 58.0% - 0s
0 2 1.16902 0 162 0.74000 1.16902 58.0% - 1s
747 515 0.81670 51 141 0.74000 1.11015 50.0% 14.6 5s
1087 610 1.09853 17 161 0.74000 1.10494 49.3% 22.0 10s
* 1445 700 203 0.7402576 1.10401 49.1% 19.8 10s
3004 755 infeasible 38 0.74026 1.00323 35.5% 18.6 15s
5852 1657 0.84180 83 96 0.74026 0.95250 28.7% 15.4 21s
8221 2164 0.83169 65 83 0.74026 0.92984 25.6% 14.7 25s
11194 2868 cutoff 114 0.74026 0.90096 21.7% 13.7 30s
14613 3854 0.83225 63 105 0.74026 0.87951 18.8% 12.9 35s
H14644 3857 0.7402576 0.87912 18.8% 12.9 35s
15120 3981 0.80819 38 97 0.74026 0.87737 18.5% 12.9 40s
19226 5189 0.78295 89 70 0.74026 0.86317 16.6% 12.2 45s
20684 5481 0.80589 67 163 0.74026 0.85741 15.8% 12.1 64s
20686 5482 0.75069 103 117 0.74026 0.85741 15.8% 12.1 65s
20697 5490 0.85706 65 186 0.74026 0.85741 15.8% 12.1 70s
20705 5495 0.83242 77 194 0.74026 0.85741 15.8% 12.1 75s
20713 5500 0.84930 40 192 0.74026 0.85741 15.8% 12.1 80s
20720 5505 0.81384 71 209 0.74026 0.85741 15.8% 12.1 85s
20727 5510 0.79893 95 210 0.74026 0.85741 15.8% 12.1 90s
20731 5512 0.79669 75 217 0.74026 0.85741 15.8% 12.1 95s
20736 5516 0.81196 113 223 0.74026 0.85741 15.8% 12.1 100s
20740 5518 0.79566 72 236 0.74026 0.85741 15.8% 12.1 105s
20744 5521 0.76664 71 240 0.74026 0.85741 15.8% 12.1 110s
20749 5524 0.78807 139 252 0.74026 0.85741 15.8% 12.1 116s
20754 5528 0.75352 172 258 0.74026 0.85741 15.8% 12.1 120s
20757 5530 0.84971 75 260 0.74026 0.85741 15.8% 12.1 125s
20761 5532 0.85340 83 257 0.74026 0.85741 15.8% 12.1 130s
20765 5535 0.74999 125 255 0.74026 0.85741 15.8% 12.1 135s
20769 5538 0.82469 63 266 0.74026 0.85741 15.8% 12.1 140s
20772 5540 0.85077 80 253 0.74026 0.85741 15.8% 12.1 145s
20779 5544 0.77448 110 259 0.74026 0.85741 15.8% 12.1 150s
20783 5547 0.81947 100 254 0.74026 0.85741 15.8% 12.1 155s
20787 5550 0.80780 81 264 0.74026 0.85741 15.8% 12.1 160s
20791 5552 0.81689 82 262 0.74026 0.85741 15.8% 12.1 165s
20795 5555 0.75437 136 257 0.74026 0.85741 15.8% 12.1 170s
20799 5558 0.75344 128 259 0.74026 0.85741 15.8% 12.1 175s
20804 5561 0.74557 140 258 0.74026 0.85741 15.8% 12.1 180s
20808 5564 0.82176 94 260 0.74026 0.85741 15.8% 12.1 185s
20812 5566 0.80836 75 265 0.74026 0.85741 15.8% 12.1 191s
20816 5569 0.74204 107 264 0.74026 0.85741 15.8% 12.1 195s
20820 5572 0.81384 71 266 0.74026 0.85741 15.8% 12.1 200s
20824 5574 0.84427 83 246 0.74026 0.85741 15.8% 12.1 206s
20826 5576 0.85051 74 263 0.74026 0.85741 15.8% 12.1 211s
20830 5578 0.79702 148 261 0.74026 0.85741 15.8% 12.1 215s
Cutting planes:
Learned: 4
Gomory: 116
Cover: 5
Implied bound: 25
Projected implied bound: 24
Clique: 6
MIR: 72
StrongCG: 1
Flow cover: 276
Inf proof: 12
Explored 20832 nodes (290281 simplex iterations) in 218.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.740258 0.740258 0.739997
Optimal solution found (tolerance 1.00e-02)
Best objective 7.402575940561e-01, best bound 7.402575940561e-01, gap 0.0000%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq4ujq88r.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv2th8g7k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.730933
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.211520e+00, 1331 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21152 0 123 0.73093 1.21152 65.7% - 0s
0 0 1.19753 0 143 0.73093 1.19753 63.8% - 0s
0 0 1.19737 0 143 0.73093 1.19737 63.8% - 0s
0 0 1.16388 0 156 0.73093 1.16388 59.2% - 0s
0 0 1.16294 0 151 0.73093 1.16294 59.1% - 0s
0 0 1.16142 0 162 0.73093 1.16142 58.9% - 0s
0 0 1.16141 0 166 0.73093 1.16141 58.9% - 0s
0 0 1.16029 0 171 0.73093 1.16029 58.7% - 0s
0 0 1.16029 0 174 0.73093 1.16029 58.7% - 0s
0 0 1.16028 0 172 0.73093 1.16028 58.7% - 0s
0 0 1.16028 0 172 0.73093 1.16028 58.7% - 0s
0 0 1.16028 0 175 0.73093 1.16028 58.7% - 0s
0 0 1.16028 0 154 0.73093 1.16028 58.7% - 0s
0 2 1.16028 0 147 0.73093 1.16028 58.7% - 0s
773 536 1.10297 16 139 0.73093 1.10297 50.9% 20.1 5s
2010 662 1.04010 25 138 0.73093 1.05497 44.3% 18.4 10s
4313 1249 infeasible 47 0.73093 0.97981 34.0% 16.4 15s
6768 1475 0.82993 85 85 0.73093 0.92800 27.0% 14.0 20s
10243 2274 0.88774 62 91 0.73093 0.88939 21.7% 12.5 25s
12962 3008 0.74524 72 116 0.73093 0.87613 19.9% 12.0 30s
H12963 3008 0.7309325 0.87613 19.9% 12.0 30s
16154 3984 0.76742 101 61 0.73093 0.86923 18.9% 11.5 35s
20053 5127 cutoff 71 0.73093 0.86160 17.9% 11.2 40s
20696 5339 0.78291 80 154 0.73093 0.85983 17.6% 11.2 57s
20705 5345 0.84183 57 184 0.73093 0.85983 17.6% 11.2 61s
20714 5351 0.77228 90 183 0.73093 0.85983 17.6% 11.2 66s
20720 5355 0.73396 123 205 0.73093 0.85983 17.6% 11.2 71s
20725 5358 0.81772 75 201 0.73093 0.85983 17.6% 11.2 75s
20729 5361 0.78119 71 211 0.73093 0.85983 17.6% 11.2 80s
20734 5364 0.79586 96 221 0.73093 0.85983 17.6% 11.2 85s
20738 5367 0.74379 122 225 0.73093 0.85983 17.6% 11.2 90s
20741 5369 0.84630 57 232 0.73093 0.85983 17.6% 11.2 95s
20744 5371 0.74977 72 244 0.73093 0.85983 17.6% 11.2 100s
20749 5374 0.76704 62 235 0.73093 0.85983 17.6% 11.2 105s
20752 5376 0.75476 112 240 0.73093 0.85983 17.6% 11.2 110s
20756 5379 0.84537 83 242 0.73093 0.85983 17.6% 11.2 115s
20761 5382 0.77883 67 249 0.73093 0.85983 17.6% 11.2 120s
20766 5386 0.80768 91 245 0.73093 0.85983 17.6% 11.2 125s
20769 5388 0.78140 101 244 0.73093 0.85983 17.6% 11.2 130s
20772 5390 0.85687 63 248 0.73093 0.85983 17.6% 11.2 135s
20776 5392 0.76504 112 257 0.73093 0.85983 17.6% 11.2 140s
20781 5396 0.78737 82 258 0.73093 0.85983 17.6% 11.2 145s
20785 5398 0.83770 77 263 0.73093 0.85983 17.6% 11.2 150s
20789 5401 0.80471 74 260 0.73093 0.85983 17.6% 11.2 155s
20792 5403 0.84361 71 268 0.73093 0.85983 17.6% 11.2 160s
20796 5406 0.78291 80 271 0.73093 0.85983 17.6% 11.2 165s
20800 5408 0.79332 70 259 0.73093 0.85983 17.6% 11.2 170s
20805 5412 0.84183 57 256 0.73093 0.85983 17.6% 11.1 175s
20809 5414 0.84633 73 263 0.73093 0.85983 17.6% 11.1 181s
20812 5416 0.84778 79 266 0.73093 0.85983 17.6% 11.1 185s
20816 5419 0.77261 102 270 0.73093 0.85983 17.6% 11.1 190s
20820 5422 0.73396 123 268 0.73093 0.85983 17.6% 11.1 195s
20823 5424 0.75008 136 267 0.73093 0.85983 17.6% 11.1 201s
20826 5426 0.80199 106 275 0.73093 0.85983 17.6% 11.1 205s
20829 5428 0.78119 71 268 0.73093 0.85983 17.6% 11.1 211s
20831 5429 0.79490 86 272 0.73093 0.85983 17.6% 11.1 215s
20833 5430 0.83899 62 282 0.73093 0.85983 17.6% 11.1 220s
20837 5433 0.75748 126 276 0.73093 0.85983 17.6% 11.1 226s
20841 5436 0.84630 57 273 0.73093 0.85983 17.6% 11.1 231s
20844 5438 0.74977 72 283 0.73093 0.85983 17.6% 11.1 235s
20849 5441 0.76704 62 278 0.73093 0.85983 17.6% 11.1 240s
20853 5444 0.82551 51 280 0.73093 0.85983 17.6% 11.1 245s
20859 5448 0.76722 81 270 0.73093 0.85983 17.6% 11.1 250s
20863 5450 0.76402 84 286 0.73093 0.85983 17.6% 11.1 255s
20867 5453 0.80713 87 272 0.73093 0.85983 17.6% 11.1 261s
20871 5456 0.74500 100 273 0.73093 0.85983 17.6% 11.1 267s
20875 5458 0.76161 73 277 0.73093 0.85983 17.6% 11.1 271s
20879 5461 0.75750 104 280 0.73093 0.85983 17.6% 11.1 275s
20882 5463 0.77168 101 281 0.73093 0.85983 17.6% 11.1 280s
20885 5465 0.83770 77 273 0.73093 0.85983 17.6% 11.1 285s
20889 5468 0.80471 74 280 0.73093 0.85983 17.6% 11.1 290s
20894 5471 0.78874 79 288 0.73093 0.85983 17.6% 11.1 295s
20897 5473 0.81769 80 283 0.73093 0.85983 17.6% 11.1 300s
20903 5477 0.77490 106 281 0.73093 0.85983 17.6% 11.1 306s
20907 5480 0.81813 88 273 0.73093 0.85983 17.6% 11.1 311s
20912 5483 0.84778 79 281 0.73093 0.85983 17.6% 11.1 315s
20914 5484 0.77228 90 284 0.73093 0.85983 17.6% 11.1 321s
20915 5487 0.85983 25 244 0.73093 0.85983 17.6% 13.8 329s
20917 5486 0.85366 26 236 0.73093 0.85983 17.6% 13.8 336s
20948 5492 0.81897 32 188 0.73093 0.85983 17.6% 14.1 340s
21012 5484 0.74995 44 161 0.73093 0.85983 17.6% 14.6 345s
21169 5469 cutoff 32 0.73093 0.85983 17.6% 15.4 350s
21322 5457 0.79973 38 215 0.73093 0.85983 17.6% 16.2 356s
21416 5452 0.82460 35 178 0.73093 0.85694 17.2% 16.9 360s
21613 5480 0.82816 38 216 0.73093 0.85139 16.5% 17.6 365s
21857 5493 0.73209 38 136 0.73093 0.84672 15.8% 18.8 370s
22085 5458 infeasible 53 0.73093 0.84058 15.0% 19.8 375s
22389 5496 0.79851 49 173 0.73093 0.83672 14.5% 20.7 380s
22853 5518 0.80966 62 162 0.73093 0.83188 13.8% 21.7 386s
23332 5580 0.81225 47 174 0.73093 0.82965 13.5% 22.5 391s
23808 5596 0.81401 44 156 0.73093 0.82852 13.4% 23.1 397s
24061 5601 infeasible 52 0.73093 0.82604 13.0% 23.6 401s
24440 5635 0.80681 44 144 0.73093 0.82431 12.8% 24.2 405s
24770 5638 0.80928 52 168 0.73093 0.82287 12.6% 24.8 410s
25355 5678 0.81299 52 152 0.73093 0.82111 12.3% 25.2 415s
25611 5678 0.81344 50 160 0.73093 0.82065 12.3% 25.6 422s
26225 5690 0.81788 50 138 0.73093 0.81863 12.0% 26.2 427s
26529 5678 0.80330 62 128 0.73093 0.81788 11.9% 26.4 430s
26922 5691 0.78017 52 134 0.73093 0.81698 11.8% 26.7 439s
26927 5646 infeasible 53 0.73093 0.81688 11.8% 26.7 442s
27266 5607 0.78577 54 157 0.73093 0.81505 11.5% 27.2 445s
28243 5555 infeasible 47 0.73093 0.81156 11.0% 27.6 452s
28708 5523 0.75579 65 102 0.73093 0.81076 10.9% 27.9 456s
29290 5580 infeasible 51 0.73093 0.80880 10.7% 28.1 460s
30457 5548 0.79008 59 118 0.73093 0.80544 10.2% 28.5 467s
30878 5538 infeasible 61 0.73093 0.80418 10.0% 28.6 471s
31567 5449 infeasible 53 0.73093 0.80213 9.74% 28.7 475s
32205 5396 0.79764 57 114 0.73093 0.80038 9.50% 28.9 480s
33517 5311 cutoff 62 0.73093 0.79699 9.04% 29.1 487s
34136 5266 0.79005 57 118 0.73093 0.79511 8.78% 29.3 491s
34688 5166 0.75868 62 73 0.73093 0.79187 8.34% 29.5 495s
35819 4988 infeasible 57 0.73093 0.78929 7.98% 29.8 502s
36328 4906 0.78760 65 116 0.73093 0.78767 7.76% 29.9 506s
37393 4706 cutoff 62 0.73093 0.78572 7.50% 30.1 512s
37922 4804 infeasible 63 0.73093 0.78340 7.18% 30.1 516s
39062 5009 infeasible 62 0.73093 0.78105 6.86% 30.2 522s
39607 5112 0.75858 71 90 0.73093 0.77948 6.64% 30.2 525s
40780 5329 infeasible 65 0.73093 0.77736 6.35% 30.3 532s
41827 5450 0.75800 62 85 0.73093 0.77605 6.17% 30.3 538s
42329 5495 0.76764 70 87 0.73093 0.77491 6.02% 30.3 540s
43472 5646 infeasible 72 0.73093 0.77368 5.85% 30.3 546s
44402 5716 0.76798 57 98 0.73093 0.77214 5.64% 30.3 551s
45487 5826 0.75339 60 88 0.73093 0.77111 5.50% 30.3 557s
46515 5917 0.76135 67 75 0.73093 0.76998 5.34% 30.3 562s
47506 5991 0.75309 64 88 0.73093 0.76881 5.18% 30.3 566s
48379 6020 0.74911 61 65 0.73093 0.76739 4.99% 30.3 571s
49242 6037 infeasible 57 0.73093 0.76611 4.81% 30.3 575s
50380 5982 0.76384 66 75 0.73093 0.76412 4.54% 30.3 581s
51110 5953 infeasible 59 0.73093 0.76303 4.39% 30.3 585s
52467 5819 infeasible 77 0.73093 0.76045 4.04% 30.2 591s
53459 5696 infeasible 67 0.73093 0.75866 3.79% 30.2 596s
54232 5661 infeasible 66 0.73093 0.75775 3.67% 30.2 600s
Cutting planes:
Learned: 5
Gomory: 161
Cover: 19
Implied bound: 66
Projected implied bound: 53
Clique: 7
MIR: 259
StrongCG: 2
Flow cover: 821
Flow path: 3
Inf proof: 237
Zero half: 2
Explored 54589 nodes (1648035 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.730933 0.730933
Time limit reached
Best objective 7.309325175232e-01, best bound 7.572542241111e-01, gap 3.6011%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzno6jjft.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw70a7ahm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.719365
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.188367e+00, 1288 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18837 0 126 0.71936 1.18837 65.2% - 0s
0 0 1.17329 0 139 0.71936 1.17329 63.1% - 0s
0 0 1.17308 0 141 0.71936 1.17308 63.1% - 0s
0 0 1.16997 0 177 0.71936 1.16997 62.6% - 0s
0 0 1.16962 0 180 0.71936 1.16962 62.6% - 0s
0 0 1.16730 0 188 0.71936 1.16730 62.3% - 0s
0 0 1.16728 0 188 0.71936 1.16728 62.3% - 0s
0 0 1.16635 0 196 0.71936 1.16635 62.1% - 0s
0 0 1.16628 0 193 0.71936 1.16628 62.1% - 0s
0 0 1.16611 0 197 0.71936 1.16611 62.1% - 0s
0 0 1.16611 0 199 0.71936 1.16611 62.1% - 0s
0 0 1.16606 0 198 0.71936 1.16606 62.1% - 0s
0 0 1.16606 0 198 0.71936 1.16606 62.1% - 0s
0 0 1.16603 0 200 0.71936 1.16603 62.1% - 0s
0 0 1.16603 0 168 0.71936 1.16603 62.1% - 0s
0 2 1.16603 0 165 0.71936 1.16603 62.1% - 0s
908 513 infeasible 28 0.71936 1.09921 52.8% 17.0 5s
3882 1248 infeasible 37 0.71936 1.02086 41.9% 13.5 10s
H 4438 1347 0.7193648 0.99868 38.8% 13.1 12s
6705 1824 infeasible 55 0.71936 0.94264 31.0% 11.3 15s
10788 3027 0.86811 71 92 0.71936 0.90959 26.4% 9.7 20s
14925 4044 infeasible 88 0.71936 0.88024 22.4% 8.9 25s
17728 4573 0.84990 72 104 0.71936 0.87075 21.0% 8.8 30s
20659 5363 0.72118 93 168 0.71936 0.86059 19.6% 8.6 52s
20674 5373 0.82833 78 223 0.71936 0.86059 19.6% 8.6 55s
20685 5380 0.84150 89 221 0.71936 0.86059 19.6% 8.6 60s
20689 5384 0.86059 24 196 0.71936 0.86059 19.6% 8.8 66s
20691 5384 0.86059 25 198 0.71936 0.86059 19.6% 8.8 72s
20725 5387 0.86059 33 173 0.71936 0.86059 19.6% 8.8 75s
21400 5502 infeasible 73 0.71936 0.86059 19.6% 9.3 80s
22475 5513 0.81366 44 145 0.71936 0.86059 19.6% 10.0 85s
*24205 5217 188 0.7193777 0.86059 19.6% 10.5 89s
24466 5253 infeasible 53 0.71938 0.86059 19.6% 10.5 90s
26687 5318 0.74462 114 57 0.71938 0.86059 19.6% 10.7 95s
30041 5329 0.73002 45 123 0.71938 0.86059 19.6% 10.7 100s
31882 5051 infeasible 66 0.71938 0.86059 19.6% 10.8 105s
34276 4753 cutoff 50 0.71938 0.86059 19.6% 10.9 110s
37480 5023 0.78931 77 96 0.71938 0.84295 17.2% 10.9 115s
39830 5394 infeasible 54 0.71938 0.82738 15.0% 11.0 120s
42048 5675 infeasible 67 0.71938 0.81556 13.4% 11.0 125s
45044 6135 infeasible 64 0.71938 0.80603 12.0% 10.9 130s
48709 7229 0.76203 85 73 0.71938 0.79870 11.0% 10.7 135s
52363 8244 infeasible 91 0.71938 0.79304 10.2% 10.5 140s
56024 9118 0.72594 60 117 0.71938 0.78824 9.57% 10.4 145s
59347 9937 0.74630 102 52 0.71938 0.78406 8.99% 10.2 150s
62642 10634 infeasible 67 0.71938 0.78085 8.55% 10.1 155s
H63097 10708 0.7194842 0.78030 8.45% 10.2 157s
63887 10799 0.76304 103 58 0.71948 0.77943 8.33% 10.2 160s
66539 11206 cutoff 70 0.71948 0.77672 7.95% 10.1 165s
69266 11500 infeasible 106 0.71948 0.77314 7.46% 10.1 170s
72135 11918 0.76603 64 89 0.71948 0.77059 7.10% 10.1 175s
74502 11951 infeasible 67 0.71948 0.76744 6.67% 10.1 180s
76420 11853 infeasible 95 0.71948 0.76460 6.27% 10.2 185s
78871 11827 infeasible 77 0.71948 0.76162 5.86% 10.2 190s
81120 11764 0.75016 90 57 0.71948 0.75913 5.51% 10.2 195s
83392 11712 infeasible 75 0.71948 0.75714 5.23% 10.2 200s
85618 11592 0.74372 72 56 0.71948 0.75515 4.96% 10.2 205s
87858 11414 0.72859 108 47 0.71948 0.75329 4.70% 10.3 210s
89730 11234 cutoff 69 0.71948 0.75153 4.45% 10.3 216s
91258 11043 0.75032 114 55 0.71948 0.75041 4.30% 10.3 220s
93853 10594 0.73587 102 42 0.71948 0.74792 3.95% 10.3 225s
96358 10125 cutoff 80 0.71948 0.74542 3.61% 10.3 230s
98658 9649 infeasible 87 0.71948 0.74325 3.30% 10.3 235s
101030 9126 infeasible 60 0.71948 0.74143 3.05% 10.3 240s
103304 8602 cutoff 101 0.71948 0.73962 2.80% 10.3 245s
105848 8055 infeasible 85 0.71948 0.73792 2.56% 10.2 250s
*108150 7256 143 0.7194970 0.73587 2.28% 10.2 254s
108298 7284 infeasible 92 0.71950 0.73567 2.25% 10.2 256s
109948 6661 infeasible 87 0.71950 0.73429 2.06% 10.2 260s
112590 5624 infeasible 114 0.71950 0.73208 1.75% 10.2 265s
114927 4559 0.72874 66 90 0.71950 0.73006 1.47% 10.2 270s
116413 3758 cutoff 73 0.71950 0.72862 1.27% 10.1 275s
Cutting planes:
Learned: 1
Gomory: 76
Implied bound: 20
Projected implied bound: 45
Clique: 2
MIR: 23
StrongCG: 1
Flow cover: 81
Flow path: 1
Explored 118250 nodes (1199339 simplex iterations) in 278.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.719497 0.719484 0.719378 ... 0.719365
Optimal solution found (tolerance 1.00e-02)
Best objective 7.194970339849e-01, best bound 7.266536008275e-01, gap 0.9947%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk1du5e9s.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwwo4vgqc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.712506
Presolve removed 767 rows and 477 columns
Presolve time: 0.05s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.184584e+00, 1383 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18458 0 127 0.71251 1.18458 66.3% - 0s
0 0 1.16939 0 145 0.71251 1.16939 64.1% - 0s
0 0 1.16919 0 143 0.71251 1.16919 64.1% - 0s
0 0 1.14556 0 155 0.71251 1.14556 60.8% - 0s
0 0 1.14331 0 156 0.71251 1.14331 60.5% - 0s
0 0 1.14119 0 175 0.71251 1.14119 60.2% - 0s
0 0 1.14100 0 174 0.71251 1.14100 60.1% - 0s
0 0 1.14001 0 179 0.71251 1.14001 60.0% - 0s
0 0 1.13995 0 179 0.71251 1.13995 60.0% - 0s
0 0 1.13983 0 178 0.71251 1.13983 60.0% - 0s
0 0 1.13983 0 180 0.71251 1.13983 60.0% - 0s
0 0 1.13958 0 181 0.71251 1.13958 59.9% - 0s
0 0 1.13957 0 180 0.71251 1.13957 59.9% - 0s
0 0 1.13955 0 185 0.71251 1.13955 59.9% - 0s
0 0 1.13955 0 185 0.71251 1.13955 59.9% - 0s
0 0 1.13955 0 185 0.71251 1.13955 59.9% - 0s
0 0 1.13955 0 155 0.71251 1.13955 59.9% - 0s
0 2 1.13955 0 148 0.71251 1.13955 59.9% - 1s
769 534 1.03242 42 132 0.71251 1.08179 51.8% 16.4 5s
822 561 1.02936 18 134 0.71251 1.07821 51.3% 25.1 10s
2098 906 0.99604 28 157 0.71251 1.06046 48.8% 21.0 15s
H 3057 1218 0.7129093 1.04531 46.6% 21.8 19s
3220 1293 0.78169 36 142 0.71291 1.04025 45.9% 21.7 20s
4734 1866 infeasible 55 0.71291 1.01075 41.8% 20.5 25s
6675 2290 0.82284 39 92 0.71291 0.96672 35.6% 18.9 30s
9285 2837 0.87169 35 138 0.71291 0.92524 29.8% 17.4 35s
11842 3465 0.76331 53 138 0.71291 0.91148 27.9% 16.2 40s
14513 3799 cutoff 54 0.71291 0.88632 24.3% 15.3 45s
H15735 4074 0.7129093 0.87976 23.4% 15.0 47s
16471 4203 infeasible 62 0.71291 0.87689 23.0% 14.8 50s
19788 4710 0.74722 64 68 0.71291 0.86001 20.6% 14.2 55s
20751 5007 0.83276 59 155 0.71291 0.85729 20.3% 14.0 77s
20762 5014 0.79173 66 179 0.71291 0.85729 20.3% 14.0 81s
20765 5016 0.81974 84 194 0.71291 0.85729 20.3% 14.0 85s
20768 5018 0.79456 100 200 0.71291 0.85729 20.3% 14.0 91s
20772 5021 0.84146 31 222 0.71291 0.85729 20.3% 14.0 95s
20776 5024 0.79158 96 219 0.71291 0.85729 20.3% 14.0 101s
20778 5025 0.84858 62 216 0.71291 0.85729 20.3% 14.0 105s
20783 5028 0.83600 81 234 0.71291 0.85729 20.3% 14.0 110s
20787 5031 0.82664 60 222 0.71291 0.85729 20.3% 14.0 115s
20791 5034 0.78147 57 250 0.71291 0.85729 20.3% 14.0 120s
20797 5038 0.77504 105 258 0.71291 0.85729 20.3% 14.0 125s
20801 5040 0.77504 105 238 0.71291 0.85729 20.3% 14.0 131s
20805 5043 0.78956 85 242 0.71291 0.85729 20.3% 14.0 136s
20810 5046 0.79509 70 249 0.71291 0.85729 20.3% 14.0 140s
20814 5049 0.76613 55 237 0.71291 0.85729 20.3% 14.0 145s
20818 5052 0.79061 87 249 0.71291 0.85729 20.3% 14.0 150s
20821 5054 0.80019 61 231 0.71291 0.85729 20.3% 14.0 156s
20823 5055 0.76475 69 228 0.71291 0.85729 20.3% 14.0 160s
20828 5058 0.81649 105 244 0.71291 0.85729 20.3% 14.0 166s
20831 5060 0.79046 76 221 0.71291 0.85729 20.3% 14.0 170s
20834 5062 0.75275 58 224 0.71291 0.85729 20.3% 14.0 176s
20836 5064 0.74276 51 222 0.71291 0.85729 20.3% 14.0 180s
20839 5066 0.75989 89 234 0.71291 0.85729 20.3% 14.0 185s
20842 5068 0.79442 71 243 0.71291 0.85729 20.3% 14.0 191s
20846 5070 0.78735 40 238 0.71291 0.85729 20.3% 14.0 196s
20849 5072 0.82331 54 239 0.71291 0.85729 20.3% 14.0 200s
20853 5075 0.80708 65 249 0.71291 0.85729 20.3% 14.0 205s
20857 5078 0.84012 55 238 0.71291 0.85729 20.3% 14.0 210s
20861 5080 0.79518 83 250 0.71291 0.85729 20.3% 14.0 216s
20864 5082 0.85656 45 248 0.71291 0.85729 20.3% 14.0 220s
20867 5084 0.78510 87 243 0.71291 0.85729 20.3% 14.0 226s
20871 5087 0.74291 64 250 0.71291 0.85729 20.3% 14.0 230s
20874 5089 0.85695 59 241 0.71291 0.85729 20.3% 14.0 236s
20877 5091 0.84107 50 256 0.71291 0.85729 20.3% 13.9 240s
20880 5093 0.76109 106 246 0.71291 0.85729 20.3% 13.9 245s
20882 5094 0.76288 75 245 0.71291 0.85729 20.3% 13.9 250s
20884 5096 0.81572 43 254 0.71291 0.85729 20.3% 13.9 255s
20886 5097 0.78358 60 244 0.71291 0.85729 20.3% 13.9 260s
20889 5099 0.84543 66 241 0.71291 0.85729 20.3% 13.9 265s
H20890 4842 0.7129093 0.85729 20.3% 13.9 270s
20894 4844 0.76599 55 247 0.71291 0.85729 20.3% 13.9 275s
20896 4846 0.77696 52 250 0.71291 0.85729 20.3% 13.9 280s
20899 4848 0.85198 45 256 0.71291 0.85729 20.3% 13.9 285s
20901 4849 0.77504 105 254 0.71291 0.85729 20.3% 13.9 290s
20903 4850 0.78815 68 248 0.71291 0.85729 20.3% 13.9 295s
20906 4852 0.84883 41 259 0.71291 0.85729 20.3% 13.9 300s
20910 4855 0.79509 70 259 0.71291 0.85729 20.3% 13.9 305s
H20910 4610 0.7134692 0.85729 20.2% 13.9 309s
20912 4611 0.84205 29 257 0.71347 0.85729 20.2% 13.9 310s
20915 4613 0.76130 50 264 0.71347 0.85729 20.2% 13.9 315s
20919 4616 0.78769 48 245 0.71347 0.85729 20.2% 13.9 320s
20924 4619 0.82154 43 264 0.71347 0.85729 20.2% 13.9 325s
Cutting planes:
Learned: 1
Gomory: 91
Cover: 4
Implied bound: 22
Projected implied bound: 30
Clique: 4
MIR: 91
StrongCG: 3
Flow cover: 343
Inf proof: 9
Explored 20924 nodes (350738 simplex iterations) in 328.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.713469 0.712909 0.712909 ... 0.712506
Optimal solution found (tolerance 1.00e-02)
Best objective 7.134692259685e-01, best bound 7.134692259685e-01, gap 0.0000%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqdr141a3.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnmf3mob0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.70862
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.169072e+00, 1390 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16907 0 131 0.70862 1.16907 65.0% - 0s
0 0 1.15507 0 180 0.70862 1.15507 63.0% - 0s
0 0 1.15495 0 180 0.70862 1.15495 63.0% - 0s
0 0 1.12775 0 176 0.70862 1.12775 59.1% - 0s
0 0 1.12644 0 174 0.70862 1.12644 59.0% - 0s
0 0 1.12406 0 186 0.70862 1.12406 58.6% - 0s
0 0 1.12400 0 182 0.70862 1.12400 58.6% - 0s
0 0 1.12382 0 185 0.70862 1.12382 58.6% - 0s
0 0 1.12377 0 184 0.70862 1.12377 58.6% - 0s
0 0 1.12366 0 186 0.70862 1.12366 58.6% - 0s
0 0 1.12358 0 188 0.70862 1.12358 58.6% - 0s
0 0 1.12353 0 190 0.70862 1.12353 58.6% - 0s
0 0 1.12353 0 153 0.70862 1.12353 58.6% - 0s
0 2 1.12353 0 149 0.70862 1.12353 58.6% - 0s
737 521 0.98223 8 148 0.70862 1.07264 51.4% 16.1 5s
906 570 infeasible 26 0.70862 1.07133 51.2% 25.8 10s
2084 787 0.84468 32 181 0.70862 1.04989 48.2% 25.9 15s
3245 1349 0.76406 59 134 0.70862 1.03569 46.2% 23.6 20s
5049 1988 infeasible 32 0.70862 1.01349 43.0% 22.4 25s
7326 1907 0.71742 74 90 0.70862 0.92842 31.0% 19.4 30s
10726 3089 infeasible 79 0.70862 0.89748 26.7% 16.6 35s
H13238 3901 0.7087186 0.88699 25.2% 15.4 39s
13481 3899 infeasible 48 0.70872 0.88595 25.0% 15.4 40s
16659 4574 0.87048 53 104 0.70872 0.87167 23.0% 14.4 45s
19666 5028 infeasible 57 0.70872 0.85471 20.6% 13.9 50s
21271 5458 0.75599 84 153 0.70872 0.85094 20.1% 13.7 73s
21274 5460 0.71697 82 165 0.70872 0.85094 20.1% 13.7 75s
21285 5467 0.82798 54 225 0.70872 0.85094 20.1% 13.7 82s
21288 5469 0.83190 65 227 0.70872 0.85094 20.1% 13.7 86s
21291 5471 0.78895 60 243 0.70872 0.85094 20.1% 13.7 90s
21298 5476 0.72702 104 238 0.70872 0.85094 20.1% 13.7 95s
21302 5479 0.71461 116 264 0.70872 0.85094 20.1% 13.7 100s
21307 5482 0.76090 58 262 0.70872 0.85094 20.1% 13.7 106s
21311 5485 0.77694 90 269 0.70872 0.85094 20.1% 13.7 111s
21316 5488 0.81014 67 285 0.70872 0.85094 20.1% 13.7 116s
21318 5489 0.73122 105 272 0.70872 0.85094 20.1% 13.7 120s
21322 5492 0.79800 63 287 0.70872 0.85094 20.1% 13.7 126s
21326 5495 0.78390 55 273 0.70872 0.85094 20.1% 13.6 131s
21330 5497 0.76550 39 285 0.70872 0.85094 20.1% 13.6 135s
21334 5500 0.77703 60 279 0.70872 0.85094 20.1% 13.6 140s
21337 5502 0.81765 63 281 0.70872 0.85094 20.1% 13.6 145s
21341 5505 0.76515 56 283 0.70872 0.85094 20.1% 13.6 150s
21345 5507 0.84901 42 299 0.70872 0.85094 20.1% 13.6 156s
21349 5510 0.72219 123 279 0.70872 0.85094 20.1% 13.6 161s
21354 5513 0.77232 67 296 0.70872 0.85094 20.1% 13.6 165s
21358 5516 0.74020 78 282 0.70872 0.85094 20.1% 13.6 170s
21364 5520 0.75706 44 294 0.70872 0.85094 20.1% 13.6 175s
21367 5522 0.72757 94 305 0.70872 0.85094 20.1% 13.6 180s
21371 5525 0.75599 84 297 0.70872 0.85094 20.1% 13.6 185s
21377 5529 0.76235 71 302 0.70872 0.85094 20.1% 13.6 190s
21381 5531 0.77004 45 295 0.70872 0.85094 20.1% 13.6 195s
21384 5533 0.81256 61 309 0.70872 0.85094 20.1% 13.6 200s
21387 5535 0.78418 68 319 0.70872 0.85094 20.1% 13.6 205s
21391 5538 0.78895 60 318 0.70872 0.85094 20.1% 13.6 210s
21398 5543 0.72702 104 310 0.70872 0.85094 20.1% 13.6 216s
21401 5545 0.76825 87 332 0.70872 0.85094 20.1% 13.6 220s
21405 5547 0.78920 69 321 0.70872 0.85094 20.1% 13.6 225s
21409 5550 0.76923 78 300 0.70872 0.85094 20.1% 13.6 231s
21411 5551 0.77694 90 304 0.70872 0.85094 20.1% 13.6 235s
21415 5554 0.81044 63 313 0.70872 0.85094 20.1% 13.6 240s
21417 5555 0.72537 64 316 0.70872 0.85094 20.1% 13.6 245s
21418 5556 0.73122 105 316 0.70872 0.85094 20.1% 13.6 250s
21420 5557 0.73750 94 317 0.70872 0.85094 20.1% 13.6 256s
21422 5559 0.79800 63 312 0.70872 0.85094 20.1% 13.6 262s
21424 5560 0.78678 66 311 0.70872 0.85094 20.1% 13.6 268s
21426 5561 0.78390 55 310 0.70872 0.85094 20.1% 13.6 272s
21429 5563 0.74599 90 313 0.70872 0.85094 20.1% 13.6 275s
21432 5565 0.76543 56 332 0.70872 0.85094 20.1% 13.6 281s
21434 5567 0.77703 60 317 0.70872 0.85094 20.1% 13.6 286s
21437 5569 0.81765 63 313 0.70872 0.85094 20.1% 13.6 291s
21439 5570 0.82042 58 309 0.70872 0.85094 20.1% 13.6 295s
21444 5573 0.79086 63 313 0.70872 0.85094 20.1% 13.6 300s
21447 5575 0.79259 47 310 0.70872 0.85094 20.1% 13.6 306s
21449 5577 0.72219 123 311 0.70872 0.85094 20.1% 13.6 310s
21454 5580 0.77232 67 305 0.70872 0.85094 20.1% 13.6 317s
21456 5581 0.71978 95 299 0.70872 0.85094 20.1% 13.6 321s
21458 5583 0.74020 78 309 0.70872 0.85094 20.1% 13.6 327s
21461 5585 0.84568 53 318 0.70872 0.85094 20.1% 13.6 331s
21464 5587 0.75706 44 320 0.70872 0.85094 20.1% 13.6 335s
21466 5588 0.83357 79 318 0.70872 0.85094 20.1% 13.6 340s
21469 5590 0.75547 73 310 0.70872 0.85094 20.1% 13.6 346s
21472 5592 0.79648 64 321 0.70872 0.85094 20.1% 13.6 351s
21475 5594 0.76271 103 316 0.70872 0.85094 20.1% 13.6 356s
21481 5598 0.77004 45 314 0.70872 0.85094 20.1% 13.5 362s
21484 5600 0.81256 61 326 0.70872 0.85094 20.1% 13.5 365s
21485 5601 0.82798 54 306 0.70872 0.85094 20.1% 13.5 371s
21487 5602 0.78418 68 314 0.70872 0.85094 20.1% 13.5 375s
21489 5603 0.73815 79 311 0.70872 0.85094 20.1% 13.5 380s
21493 5606 0.80810 79 308 0.70872 0.85094 20.1% 13.5 386s
21497 5609 0.77170 69 308 0.70872 0.85094 20.1% 13.5 391s
21500 5611 0.82259 61 316 0.70872 0.85094 20.1% 13.5 395s
21504 5613 0.81042 62 307 0.70872 0.85094 20.1% 13.5 400s
21508 5616 0.81338 66 318 0.70872 0.85094 20.1% 13.5 405s
21511 5618 0.77694 90 318 0.70872 0.85094 20.1% 13.5 410s
21515 5621 0.81044 63 318 0.70872 0.85094 20.1% 13.5 415s
21518 5623 0.73122 105 321 0.70872 0.85094 20.1% 13.5 420s
21520 5624 0.73750 94 317 0.70872 0.85094 20.1% 13.5 425s
21521 5627 0.85094 28 291 0.70872 0.85094 20.1% 17.4 434s
21523 5626 0.85094 29 302 0.70872 0.85094 20.1% 17.4 443s
21529 5627 0.85094 31 303 0.70872 0.85094 20.1% 17.5 445s
H21549 5345 0.7087186 0.85094 20.1% 17.8 449s
21551 5347 infeasible 35 0.70872 0.85094 20.1% 17.9 450s
21581 5345 0.85094 33 324 0.70872 0.85094 20.1% 18.4 457s
21595 5337 0.84905 36 261 0.70872 0.85094 20.1% 18.8 460s
21617 5332 0.81736 40 243 0.70872 0.85094 20.1% 19.3 465s
21676 5325 0.85094 35 293 0.70872 0.85094 20.1% 20.1 470s
21853 5338 0.85094 36 284 0.70872 0.85094 20.1% 21.3 477s
21927 5342 infeasible 45 0.70872 0.85094 20.1% 21.8 481s
22061 5331 infeasible 60 0.70872 0.85094 20.1% 22.6 485s
22373 5326 0.72065 61 198 0.70872 0.84768 19.6% 23.5 490s
22674 5311 0.78878 44 200 0.70872 0.83768 18.2% 24.5 495s
23044 5329 0.81794 58 182 0.70872 0.83132 17.3% 25.1 500s
23477 5381 0.79945 60 183 0.70872 0.82691 16.7% 25.6 505s
23682 5390 0.76070 70 151 0.70872 0.82530 16.4% 25.8 510s
24244 5446 0.78516 65 175 0.70872 0.82038 15.8% 26.2 515s
24761 5454 0.75690 46 212 0.70872 0.81751 15.3% 26.9 521s
25208 5457 cutoff 70 0.70872 0.81346 14.8% 27.2 526s
25839 5477 0.77419 59 137 0.70872 0.80899 14.1% 27.4 530s
26325 5466 infeasible 64 0.70872 0.80635 13.8% 27.8 536s
26884 5455 infeasible 56 0.70872 0.80289 13.3% 28.1 541s
27320 5431 0.71102 98 84 0.70872 0.80027 12.9% 28.5 546s
28190 5481 infeasible 81 0.70872 0.79644 12.4% 28.8 552s
28574 5476 0.75143 68 124 0.70872 0.79512 12.2% 28.9 560s
29332 5434 0.73887 66 161 0.70872 0.79010 11.5% 29.3 568s
29818 5420 infeasible 69 0.70872 0.78756 11.1% 29.5 572s
30251 5400 cutoff 103 0.70872 0.78536 10.8% 29.7 576s
30635 5383 0.75627 73 125 0.70872 0.78390 10.6% 29.9 580s
31150 5327 0.73049 76 86 0.70872 0.78199 10.3% 30.1 586s
31809 5338 infeasible 66 0.70872 0.77907 9.93% 30.2 590s
33032 5287 0.70940 76 130 0.70872 0.77651 9.57% 30.3 597s
33451 5283 0.71098 95 86 0.70872 0.77423 9.24% 30.3 600s
Cutting planes:
Learned: 1
Gomory: 187
Cover: 14
Implied bound: 31
Projected implied bound: 62
Clique: 12
MIR: 304
StrongCG: 5
Flow cover: 798
Flow path: 4
Inf proof: 108
Zero half: 2
Explored 33868 nodes (1030292 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.708719 0.708719 0.70862
Time limit reached
Best objective 7.087185839206e-01, best bound 7.742281269823e-01, gap 9.2434%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpue26009r.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp783uetn5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.703073
Presolve removed 793 rows and 493 columns
Presolve time: 0.05s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.162089e+00, 1476 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16209 0 134 0.70307 1.16209 65.3% - 0s
0 0 1.14859 0 166 0.70307 1.14859 63.4% - 0s
0 0 1.14731 0 163 0.70307 1.14731 63.2% - 0s
0 0 1.12072 0 178 0.70307 1.12072 59.4% - 0s
0 0 1.11992 0 174 0.70307 1.11992 59.3% - 0s
0 0 1.11591 0 187 0.70307 1.11591 58.7% - 0s
0 0 1.11583 0 190 0.70307 1.11583 58.7% - 0s
0 0 1.11581 0 202 0.70307 1.11581 58.7% - 0s
0 0 1.11580 0 203 0.70307 1.11580 58.7% - 0s
0 0 1.11578 0 204 0.70307 1.11578 58.7% - 0s
0 0 1.11578 0 168 0.70307 1.11578 58.7% - 0s
0 2 1.11578 0 166 0.70307 1.11578 58.7% - 0s
781 556 0.91632 25 154 0.70307 1.06012 50.8% 14.4 5s
975 609 1.06012 16 167 0.70307 1.06012 50.8% 23.9 10s
2099 676 0.95151 29 162 0.70307 1.04415 48.5% 26.6 15s
3345 760 0.86352 27 163 0.70307 1.00748 43.3% 27.5 20s
4953 1162 infeasible 40 0.70307 0.95028 35.2% 22.7 25s
7444 1629 infeasible 34 0.70307 0.89955 27.9% 19.0 30s
10524 2525 infeasible 38 0.70307 0.86943 23.7% 16.8 35s
13260 3517 0.77952 76 84 0.70307 0.86201 22.6% 15.9 40s
16633 4763 cutoff 71 0.70307 0.85455 21.5% 15.4 45s
19181 5373 0.78631 70 76 0.70307 0.85017 20.9% 15.5 50s
21190 5825 0.84247 55 92 0.70307 0.84765 20.6% 15.4 71s
22536 6023 infeasible 63 0.70307 0.84448 20.1% 16.0 75s
24082 6179 0.78813 57 126 0.70307 0.84053 19.6% 16.7 80s
25842 6325 0.71810 74 129 0.70307 0.83434 18.7% 17.4 85s
27360 6389 infeasible 66 0.70307 0.82824 17.8% 18.0 90s
29100 6513 infeasible 67 0.70307 0.82110 16.8% 18.5 95s
30944 6763 0.72370 117 62 0.70307 0.81470 15.9% 18.8 100s
H31616 6941 0.7030901 0.81313 15.7% 18.8 104s
31619 6905 cutoff 82 0.70309 0.81307 15.6% 18.8 105s
33284 7124 infeasible 98 0.70309 0.80888 15.0% 18.9 110s
35218 7510 0.74245 57 169 0.70309 0.80428 14.4% 18.8 115s
37290 7790 0.72464 60 113 0.70309 0.79900 13.6% 18.9 120s
38788 8026 infeasible 100 0.70309 0.79471 13.0% 19.0 126s
39602 8117 0.73664 66 106 0.70309 0.79290 12.8% 19.0 130s
41570 8438 0.76496 95 116 0.70309 0.78878 12.2% 19.0 135s
43547 8662 infeasible 68 0.70309 0.78533 11.7% 19.1 140s
45044 8764 0.70477 86 67 0.70309 0.78121 11.1% 19.1 145s
47024 8972 0.70849 117 33 0.70309 0.77783 10.6% 19.1 150s
49099 9268 0.74620 65 96 0.70309 0.77501 10.2% 19.0 155s
50708 9355 0.71695 55 128 0.70309 0.77201 9.80% 19.1 160s
52357 9357 0.76779 103 100 0.70309 0.76932 9.42% 19.1 165s
54004 9350 infeasible 85 0.70309 0.76600 8.95% 19.2 170s
55519 9285 0.72237 53 134 0.70309 0.76286 8.50% 19.3 175s
57335 9337 infeasible 61 0.70309 0.76018 8.12% 19.3 180s
58863 9422 infeasible 99 0.70309 0.75803 7.81% 19.3 185s
60691 9535 0.71311 88 64 0.70309 0.75584 7.50% 19.3 190s
62469 9500 0.75122 65 90 0.70309 0.75346 7.16% 19.4 195s
64235 9461 0.74288 61 98 0.70309 0.75108 6.83% 19.4 200s
65859 9368 cutoff 125 0.70309 0.74908 6.54% 19.5 205s
67565 9275 infeasible 73 0.70309 0.74668 6.20% 19.4 210s
69297 9027 infeasible 72 0.70309 0.74403 5.82% 19.5 215s
70741 8832 cutoff 62 0.70309 0.74177 5.50% 19.5 220s
72646 8601 infeasible 131 0.70309 0.73930 5.15% 19.6 225s
74306 8476 0.72792 61 91 0.70309 0.73717 4.85% 19.6 230s
75859 8285 infeasible 94 0.70309 0.73534 4.59% 19.6 235s
77601 8029 cutoff 87 0.70309 0.73326 4.29% 19.6 240s
79544 7782 0.71510 105 50 0.70309 0.73146 4.04% 19.6 245s
81312 7464 0.72925 83 81 0.70309 0.72960 3.77% 19.6 250s
83211 7087 infeasible 124 0.70309 0.72745 3.46% 19.5 255s
84911 6659 0.72144 87 59 0.70309 0.72553 3.19% 19.5 260s
86053 6337 infeasible 88 0.70309 0.72418 3.00% 19.5 266s
87360 5909 infeasible 115 0.70309 0.72267 2.79% 19.5 270s
89218 5168 infeasible 81 0.70309 0.72035 2.46% 19.5 275s
90839 4421 infeasible 92 0.70309 0.71787 2.10% 19.4 280s
92653 3683 cutoff 81 0.70309 0.71552 1.77% 19.4 285s
94486 2965 infeasible 82 0.70309 0.71315 1.43% 19.3 290s
96680 2059 infeasible 95 0.70309 0.71025 1.02% 19.2 295s
Cutting planes:
Gomory: 84
Cover: 7
Implied bound: 54
Projected implied bound: 85
Clique: 8
MIR: 60
StrongCG: 1
Flow cover: 275
Flow path: 3
Inf proof: 597
Explored 96854 nodes (1863492 simplex iterations) in 295.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.70309 0.703073
Optimal solution found (tolerance 1.00e-02)
Best objective 7.030901062655e-01, best bound 7.099826736402e-01, gap 0.9803%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpck0ewh6x.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyt2yxhs2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.692615
Presolve removed 806 rows and 501 columns
Presolve time: 0.05s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.144001e+00, 1407 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14400 0 143 0.69262 1.14400 65.2% - 0s
0 0 1.12954 0 163 0.69262 1.12954 63.1% - 0s
0 0 1.12929 0 159 0.69262 1.12929 63.0% - 0s
0 0 1.10383 0 156 0.69262 1.10383 59.4% - 0s
0 0 1.10376 0 154 0.69262 1.10376 59.4% - 0s
0 0 1.10337 0 164 0.69262 1.10337 59.3% - 0s
0 0 1.10337 0 167 0.69262 1.10337 59.3% - 0s
0 0 1.10225 0 165 0.69262 1.10225 59.1% - 0s
0 0 1.10225 0 165 0.69262 1.10225 59.1% - 0s
0 0 1.10225 0 167 0.69262 1.10225 59.1% - 0s
0 0 1.10225 0 169 0.69262 1.10225 59.1% - 0s
0 0 1.10225 0 168 0.69262 1.10225 59.1% - 0s
0 0 1.10225 0 146 0.69262 1.10225 59.1% - 0s
0 2 1.10225 0 144 0.69262 1.10225 59.1% - 0s
777 552 0.96566 23 151 0.69262 1.04371 50.7% 15.2 5s
881 560 1.04371 26 169 0.69262 1.04371 50.7% 23.3 10s
2596 947 0.98938 32 157 0.69262 1.03254 49.1% 19.2 15s
3672 1126 infeasible 42 0.69262 0.99001 42.9% 18.6 20s
6415 1944 infeasible 77 0.69262 0.92504 33.6% 16.1 25s
9087 2510 infeasible 81 0.69262 0.88960 28.4% 15.1 30s
11685 3022 infeasible 61 0.69262 0.87136 25.8% 14.5 35s
13667 3539 0.77481 76 120 0.69262 0.85979 24.1% 14.1 40s
16584 4466 0.74313 95 86 0.69262 0.85062 22.8% 13.6 45s
19897 5371 0.79170 65 132 0.69262 0.83974 21.2% 13.3 50s
20670 5604 0.82349 92 101 0.69262 0.83762 20.9% 13.3 68s
21635 5937 infeasible 90 0.69262 0.83536 20.6% 13.3 70s
24266 6556 cutoff 68 0.69262 0.82690 19.4% 13.6 75s
26966 7291 infeasible 137 0.69262 0.82089 18.5% 13.7 80s
29123 7700 0.79631 77 129 0.69262 0.81380 17.5% 14.0 85s
31645 8293 infeasible 89 0.69262 0.80764 16.6% 14.2 90s
34433 9050 0.79693 89 108 0.69262 0.80390 16.1% 14.2 95s
37082 9811 0.69887 93 86 0.69262 0.80036 15.6% 14.2 100s
37762 9970 0.74400 123 74 0.69262 0.79988 15.5% 14.2 105s
39575 10328 0.76800 78 117 0.69262 0.79682 15.0% 14.5 110s
41954 10785 0.73281 106 65 0.69262 0.79359 14.6% 14.6 115s
44571 11672 0.71883 81 118 0.69262 0.79099 14.2% 14.6 120s
47442 12400 0.74537 142 67 0.69262 0.78842 13.8% 14.6 125s
49976 12951 0.75612 95 82 0.69262 0.78651 13.6% 14.7 130s
52971 13584 0.71747 111 66 0.69262 0.78412 13.2% 14.8 135s
55392 13935 0.70361 115 65 0.69262 0.78126 12.8% 15.0 140s
57898 14365 0.73134 79 170 0.69262 0.77889 12.5% 15.0 145s
60568 14915 0.74867 151 76 0.69262 0.77699 12.2% 15.1 150s
63322 15545 infeasible 79 0.69262 0.77485 11.9% 15.1 155s
65751 15954 0.72982 96 80 0.69262 0.77293 11.6% 15.3 160s
68207 16399 infeasible 127 0.69262 0.77114 11.3% 15.3 165s
70674 16805 0.73434 101 113 0.69262 0.76936 11.1% 15.4 170s
72682 17015 cutoff 101 0.69262 0.76735 10.8% 15.5 175s
74699 17117 cutoff 92 0.69262 0.76480 10.4% 15.6 180s
77416 17639 0.70226 77 118 0.69262 0.76273 10.1% 15.7 185s
79601 17948 0.71538 69 84 0.69262 0.76076 9.84% 15.8 190s
81648 18070 0.72425 132 75 0.69262 0.75933 9.63% 15.9 195s
83841 18280 cutoff 92 0.69262 0.75789 9.42% 16.0 200s
85884 18374 0.73679 124 72 0.69262 0.75661 9.24% 16.1 205s
87785 18402 0.69298 90 69 0.69262 0.75524 9.04% 16.2 210s
89653 18495 infeasible 69 0.69262 0.75410 8.88% 16.2 215s
91725 18617 cutoff 97 0.69262 0.75275 8.68% 16.3 220s
93618 18664 0.74030 99 97 0.69262 0.75160 8.52% 16.3 225s
95153 18771 0.70042 102 53 0.69262 0.75089 8.41% 16.4 231s
96422 18701 0.73528 117 104 0.69262 0.75018 8.31% 16.5 235s
98190 18623 infeasible 104 0.69262 0.74905 8.15% 16.5 240s
100116 18633 infeasible 93 0.69262 0.74809 8.01% 16.6 245s
102370 18574 cutoff 95 0.69262 0.74706 7.86% 16.7 250s
104112 18408 infeasible 103 0.69262 0.74603 7.71% 16.8 255s
105589 18301 infeasible 92 0.69262 0.74526 7.60% 16.8 260s
107353 18108 infeasible 97 0.69262 0.74429 7.46% 16.9 265s
109437 17885 infeasible 71 0.69262 0.74303 7.28% 17.0 270s
111134 17617 infeasible 152 0.69262 0.74198 7.13% 17.1 275s
113206 17297 0.73707 97 89 0.69262 0.74058 6.92% 17.2 280s
114863 17087 infeasible 79 0.69262 0.73958 6.78% 17.3 285s
116671 16785 infeasible 102 0.69262 0.73843 6.61% 17.3 290s
118520 16336 infeasible 75 0.69262 0.73703 6.41% 17.4 295s
120373 15921 infeasible 140 0.69262 0.73559 6.20% 17.5 300s
122208 15623 cutoff 79 0.69262 0.73445 6.04% 17.5 305s
123979 15157 cutoff 91 0.69262 0.73315 5.85% 17.6 310s
126198 14749 infeasible 100 0.69262 0.73165 5.64% 17.6 315s
128165 14320 0.71699 119 86 0.69262 0.73022 5.43% 17.6 320s
129934 13953 infeasible 95 0.69262 0.72897 5.25% 17.7 327s
130716 13676 infeasible 78 0.69262 0.72834 5.16% 17.7 330s
132188 13156 cutoff 104 0.69262 0.72690 4.95% 17.7 335s
134047 12609 infeasible 118 0.69262 0.72524 4.71% 17.8 340s
135812 12053 0.70886 96 93 0.69262 0.72372 4.49% 17.8 345s
137868 11325 infeasible 111 0.69262 0.72170 4.20% 17.9 350s
139820 10554 infeasible 115 0.69262 0.71959 3.90% 17.9 355s
141734 9921 0.70404 132 54 0.69262 0.71758 3.60% 17.9 360s
143627 9309 infeasible 127 0.69262 0.71562 3.32% 17.9 365s
145902 8592 infeasible 95 0.69262 0.71330 2.99% 17.9 370s
147971 7643 infeasible 110 0.69262 0.71105 2.66% 17.9 375s
150258 6972 cutoff 94 0.69262 0.70889 2.35% 17.8 380s
152610 6074 infeasible 93 0.69262 0.70629 1.97% 17.8 385s
154914 5013 infeasible 116 0.69262 0.70326 1.54% 17.8 390s
157259 3700 cutoff 143 0.69262 0.69984 1.04% 17.7 395s
Cutting planes:
Learned: 1
Gomory: 49
Cover: 9
Implied bound: 70
Projected implied bound: 60
Clique: 2
MIR: 54
StrongCG: 1
Flow cover: 238
Flow path: 2
Inf proof: 702
Explored 157476 nodes (2791708 simplex iterations) in 395.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.692615
Optimal solution found (tolerance 1.00e-02)
Best objective 6.926150569954e-01, best bound 6.994200706465e-01, gap 0.9825%
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqsl224za.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_47vqq2s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.681844
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.124107e+00, 1486 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12411 0 142 0.68184 1.12411 64.9% - 0s
0 0 1.11038 0 156 0.68184 1.11038 62.8% - 0s
0 0 1.11020 0 154 0.68184 1.11020 62.8% - 0s
0 0 1.10734 0 194 0.68184 1.10734 62.4% - 0s
0 0 1.10702 0 190 0.68184 1.10702 62.4% - 0s
0 0 1.10491 0 201 0.68184 1.10491 62.0% - 0s
0 0 1.10490 0 200 0.68184 1.10490 62.0% - 0s
0 0 1.10395 0 211 0.68184 1.10395 61.9% - 0s
0 0 1.10394 0 209 0.68184 1.10394 61.9% - 0s
0 0 1.10374 0 213 0.68184 1.10374 61.9% - 0s
0 0 1.10374 0 211 0.68184 1.10374 61.9% - 0s
0 0 1.10365 0 205 0.68184 1.10365 61.9% - 0s
0 0 1.10358 0 212 0.68184 1.10358 61.9% - 0s
0 0 1.10356 0 212 0.68184 1.10356 61.8% - 0s
0 0 1.10356 0 212 0.68184 1.10356 61.8% - 0s
0 0 1.10356 0 178 0.68184 1.10356 61.8% - 0s
0 2 1.10356 0 176 0.68184 1.10356 61.8% - 1s
780 550 1.04539 16 147 0.68184 1.04539 53.3% 17.4 5s
2706 918 infeasible 56 0.68184 1.01154 48.4% 15.4 10s
H 3053 1032 0.6818444 1.00014 46.7% 15.2 11s
4846 1306 0.84890 48 114 0.68184 0.94930 39.2% 14.5 15s
7932 1916 0.84526 66 117 0.68184 0.88453 29.7% 11.7 20s
10813 2676 0.73961 144 62 0.68184 0.86191 26.4% 11.0 25s
13975 3252 infeasible 91 0.68184 0.84174 23.4% 10.7 30s
16483 3816 0.69740 119 60 0.68184 0.83080 21.8% 10.3 35s
19811 4376 0.72435 90 93 0.68184 0.81229 19.1% 10.2 40s
20644 4618 0.79612 92 178 0.68184 0.81068 18.9% 10.1 62s
20658 4627 0.79753 75 208 0.68184 0.81068 18.9% 10.1 65s
20671 4636 0.78614 94 226 0.68184 0.81068 18.9% 10.1 70s
20684 4645 0.78743 101 237 0.68184 0.81068 18.9% 10.1 76s
20688 4648 0.81068 26 227 0.68184 0.81068 18.9% 10.2 81s
20692 4649 0.81068 28 212 0.68184 0.81068 18.9% 10.2 85s
20797 4661 0.81068 47 159 0.68184 0.81068 18.9% 10.4 90s
21587 4733 infeasible 42 0.68184 0.81068 18.9% 10.7 95s
22436 4774 0.81068 53 162 0.68184 0.81068 18.9% 11.0 101s
23598 4902 infeasible 53 0.68184 0.81068 18.9% 11.2 105s
25569 4957 0.81068 60 144 0.68184 0.81068 18.9% 11.3 110s
27908 5107 0.79097 54 132 0.68184 0.81068 18.9% 11.3 115s
30536 5218 0.70316 57 83 0.68184 0.81068 18.9% 11.2 120s
33571 5360 0.76648 70 144 0.68184 0.81068 18.9% 11.1 125s
36712 6129 infeasible 70 0.68184 0.80601 18.2% 10.9 130s
39839 7158 0.78121 59 132 0.68184 0.79348 16.4% 10.8 135s
43797 8727 infeasible 77 0.68184 0.78564 15.2% 10.6 140s
47066 9993 0.74408 66 115 0.68184 0.78007 14.4% 10.4 145s
49871 10821 infeasible 79 0.68184 0.77706 14.0% 10.4 150s
51993 11515 0.71921 86 58 0.68184 0.77504 13.7% 10.3 155s
54183 12174 0.74627 84 85 0.68184 0.77308 13.4% 10.2 160s
57441 13120 0.72139 88 61 0.68184 0.77018 13.0% 10.1 165s
60372 13967 0.73690 67 109 0.68184 0.76814 12.7% 10.0 170s
63114 14504 0.74272 91 75 0.68184 0.76556 12.3% 10.0 175s
65905 15053 0.71778 58 145 0.68184 0.76357 12.0% 10.0 180s
69286 15906 0.75284 81 99 0.68184 0.76144 11.7% 9.9 185s
72182 16568 infeasible 82 0.68184 0.75987 11.4% 9.8 190s
75172 17264 0.75589 74 119 0.68184 0.75819 11.2% 9.8 195s
77974 17673 cutoff 112 0.68184 0.75607 10.9% 9.7 200s
80325 17945 0.68934 89 50 0.68184 0.75411 10.6% 9.7 205s
82949 18368 infeasible 83 0.68184 0.75249 10.4% 9.7 210s
85408 18745 infeasible 82 0.68184 0.75073 10.1% 9.7 215s
87913 19203 infeasible 77 0.68184 0.74945 9.92% 9.7 220s
90617 19597 0.73843 64 101 0.68184 0.74782 9.68% 9.7 225s
91772 19571 infeasible 60 0.68184 0.74686 9.54% 9.8 230s
93583 19528 infeasible 97 0.68184 0.74559 9.35% 9.8 235s
95844 19614 infeasible 90 0.68184 0.74411 9.13% 9.8 240s
97961 19659 0.72775 83 70 0.68184 0.74278 8.94% 9.9 245s
99849 19702 0.68734 102 53 0.68184 0.74171 8.78% 9.9 250s
101635 19547 0.70492 69 85 0.68184 0.74053 8.61% 10.0 255s
103601 19445 infeasible 77 0.68184 0.73947 8.45% 10.0 262s
104481 19316 0.71748 96 78 0.68184 0.73886 8.36% 10.1 265s
106005 19096 0.69912 106 56 0.68184 0.73770 8.19% 10.1 270s
107774 18940 0.71693 77 77 0.68184 0.73661 8.03% 10.2 275s
109746 18806 infeasible 94 0.68184 0.73546 7.86% 10.2 280s
111128 18467 infeasible 76 0.68184 0.73414 7.67% 10.2 285s
112678 18022 infeasible 62 0.68184 0.73264 7.45% 10.3 290s
114248 17579 0.71844 86 59 0.68184 0.73118 7.24% 10.4 295s
115540 17317 infeasible 105 0.68184 0.73010 7.08% 10.4 300s
116954 16952 0.72273 76 103 0.68184 0.72865 6.86% 10.5 305s
118497 16606 0.72512 74 76 0.68184 0.72730 6.67% 10.5 310s
119880 16381 0.72398 85 86 0.68184 0.72622 6.51% 10.6 315s
121620 15956 infeasible 84 0.68184 0.72468 6.28% 10.6 320s
122449 15712 infeasible 76 0.68184 0.72393 6.17% 10.6 325s
123864 15350 infeasible 90 0.68184 0.72278 6.00% 10.7 330s
125486 14866 infeasible 81 0.68184 0.72134 5.79% 10.7 335s
127175 14283 0.71660 79 99 0.68184 0.71962 5.54% 10.8 340s
128790 13688 infeasible 78 0.68184 0.71790 5.29% 10.8 345s
130510 13093 infeasible 94 0.68184 0.71632 5.06% 10.8 350s
131847 12661 cutoff 97 0.68184 0.71517 4.89% 10.9 355s
133360 12126 infeasible 86 0.68184 0.71369 4.67% 10.9 360s
134768 11590 0.70571 100 43 0.68184 0.71237 4.48% 10.9 365s
136024 11132 0.70598 93 51 0.68184 0.71126 4.31% 10.9 370s
137237 10706 0.70863 100 52 0.68184 0.71024 4.16% 11.0 375s
138827 10085 0.70815 95 54 0.68184 0.70846 3.90% 11.0 380s
140477 9356 0.70501 90 74 0.68184 0.70666 3.64% 11.0 385s
142348 8559 infeasible 88 0.68184 0.70480 3.37% 11.0 390s
144234 7755 infeasible 65 0.68184 0.70301 3.10% 11.0 395s
146246 6772 infeasible 86 0.68184 0.70087 2.79% 11.0 400s
148228 5781 0.69315 118 51 0.68184 0.69864 2.46% 11.0 405s
150284 4714 infeasible 87 0.68184 0.69650 2.15% 11.0 410s
152162 3552 infeasible 106 0.68184 0.69412 1.80% 11.0 415s
154309 2129 0.68963 79 47 0.68184 0.69070 1.30% 11.0 420s
Cutting planes:
Learned: 3
Gomory: 78
Cover: 2
Implied bound: 21
Projected implied bound: 50
Clique: 1
MIR: 19
Flow cover: 77
Flow path: 2
Explored 155350 nodes (1704341 simplex iterations) in 422.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.681844 0.681844
Optimal solution found (tolerance 1.00e-02)
Best objective 6.818444075580e-01, best bound 6.885729295304e-01, gap 0.9868%
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpboyvq0m9.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuqbxuq93.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.672965
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.106530e+00, 1551 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10653 0 138 0.67297 1.10653 64.4% - 0s
0 0 1.09333 0 162 0.67297 1.09333 62.5% - 0s
0 0 1.09322 0 156 0.67297 1.09322 62.4% - 0s
0 0 1.07653 0 178 0.67297 1.07653 60.0% - 0s
0 0 1.07626 0 179 0.67297 1.07626 59.9% - 0s
0 0 1.07321 0 203 0.67297 1.07321 59.5% - 0s
0 0 1.07319 0 206 0.67297 1.07319 59.5% - 0s
0 0 1.07244 0 216 0.67297 1.07244 59.4% - 0s
0 0 1.07244 0 215 0.67297 1.07244 59.4% - 0s
0 0 1.07205 0 211 0.67297 1.07205 59.3% - 0s
0 0 1.07205 0 211 0.67297 1.07205 59.3% - 0s
0 0 1.07186 0 207 0.67297 1.07186 59.3% - 0s
0 0 1.07176 0 216 0.67297 1.07176 59.3% - 0s
0 0 1.07161 0 218 0.67297 1.07161 59.2% - 0s
0 0 1.07161 0 218 0.67297 1.07161 59.2% - 0s
0 0 1.07161 0 219 0.67297 1.07161 59.2% - 0s
0 0 1.07161 0 163 0.67297 1.07161 59.2% - 0s
0 0 1.07161 0 165 0.67297 1.07161 59.2% - 0s
0 0 1.06452 0 161 0.67297 1.06452 58.2% - 0s
0 0 1.06434 0 164 0.67297 1.06434 58.2% - 0s
0 0 1.06432 0 168 0.67297 1.06432 58.2% - 1s
0 0 1.06430 0 167 0.67297 1.06430 58.2% - 1s
0 0 1.06430 0 164 0.67297 1.06430 58.2% - 1s
0 2 1.06430 0 162 0.67297 1.06430 58.2% - 1s
740 517 0.89474 19 173 0.67297 1.01855 51.4% 19.0 5s
1131 608 0.98535 18 156 0.67297 1.01512 50.8% 24.5 10s
2368 839 0.84406 22 134 0.67297 0.95684 42.2% 22.6 15s
4015 1238 0.83501 41 154 0.67297 0.92389 37.3% 20.4 20s
5987 1557 0.82083 68 122 0.67297 0.85896 27.6% 16.9 25s
8440 2230 cutoff 39 0.67297 0.84017 24.8% 15.7 30s
11350 3074 infeasible 56 0.67297 0.82886 23.2% 14.7 35s
H12764 3455 0.6729653 0.82242 22.2% 14.5 39s
12940 3468 0.76017 50 98 0.67297 0.82151 22.1% 14.5 40s
14971 3973 0.69294 100 69 0.67297 0.81457 21.0% 14.5 46s
16009 4104 infeasible 70 0.67297 0.81035 20.4% 14.5 50s
18718 4695 0.69690 76 100 0.67297 0.80258 19.3% 14.2 55s
20966 5362 0.73088 64 164 0.67297 0.79628 18.3% 14.0 80s
20978 5370 0.77003 66 235 0.67297 0.79628 18.3% 14.0 86s
20985 5375 0.70088 132 246 0.67297 0.79628 18.3% 14.0 90s
20990 5378 0.70803 140 249 0.67297 0.79628 18.3% 14.0 96s
20997 5383 0.79339 52 267 0.67297 0.79628 18.3% 14.0 101s
21004 5387 0.78650 57 263 0.67297 0.79628 18.3% 14.0 106s
21007 5389 0.78399 89 263 0.67297 0.79628 18.3% 14.0 110s
21013 5393 0.77810 93 272 0.67297 0.79628 18.3% 13.9 116s
21019 5397 0.74844 71 274 0.67297 0.79628 18.3% 13.9 121s
21023 5400 0.78012 65 281 0.67297 0.79628 18.3% 13.9 125s
21027 5403 0.68139 65 274 0.67297 0.79628 18.3% 13.9 131s
21030 5405 0.78267 78 283 0.67297 0.79628 18.3% 13.9 136s
21033 5407 0.72134 47 284 0.67297 0.79628 18.3% 13.9 140s
21037 5409 0.75967 58 286 0.67297 0.79628 18.3% 13.9 145s
21041 5412 0.70294 68 272 0.67297 0.79628 18.3% 13.9 151s
21045 5415 0.72295 120 291 0.67297 0.79628 18.3% 13.9 155s
21049 5417 0.70298 103 270 0.67297 0.79628 18.3% 13.9 160s
21053 5420 0.70750 134 269 0.67297 0.79628 18.3% 13.9 165s
21056 5422 0.74991 105 276 0.67297 0.79628 18.3% 13.9 170s
21059 5424 0.77444 72 272 0.67297 0.79628 18.3% 13.9 175s
21063 5427 0.74101 61 270 0.67297 0.79628 18.3% 13.9 180s
21067 5429 0.70108 94 276 0.67297 0.79628 18.3% 13.9 186s
21071 5432 0.78338 63 289 0.67297 0.79628 18.3% 13.9 190s
21076 5435 0.74259 98 292 0.67297 0.79628 18.3% 13.9 195s
21080 5438 0.69352 143 298 0.67297 0.79628 18.3% 13.9 201s
21083 5440 0.69597 159 310 0.67297 0.79628 18.3% 13.9 205s
21086 5442 0.75540 75 297 0.67297 0.79628 18.3% 13.9 210s
21089 5444 0.72851 61 302 0.67297 0.79628 18.3% 13.9 215s
21092 5446 0.75296 98 307 0.67297 0.79628 18.3% 13.9 220s
21096 5449 0.72767 83 307 0.67297 0.79628 18.3% 13.9 226s
21101 5452 0.68812 84 304 0.67297 0.79628 18.3% 13.9 233s
21103 5453 0.75749 61 306 0.67297 0.79628 18.3% 13.9 238s
21105 5455 0.77509 80 308 0.67297 0.79628 18.3% 13.9 244s
21106 5455 0.76355 107 316 0.67297 0.79628 18.3% 13.9 245s
21108 5457 0.76342 50 318 0.67297 0.79628 18.3% 13.9 251s
21110 5458 0.73735 55 313 0.67297 0.79628 18.3% 13.9 255s
21113 5460 0.77810 93 305 0.67297 0.79628 18.3% 13.9 260s
21117 5463 0.77845 99 297 0.67297 0.79628 18.3% 13.9 266s
21120 5465 0.72331 90 301 0.67297 0.79628 18.3% 13.9 270s
21122 5466 0.75926 55 310 0.67297 0.79628 18.3% 13.9 275s
21125 5468 0.76178 105 307 0.67297 0.79628 18.3% 13.9 280s
21129 5471 0.76869 108 314 0.67297 0.79628 18.3% 13.9 286s
21131 5472 0.68084 152 315 0.67297 0.79628 18.3% 13.9 290s
21134 5474 0.70487 121 312 0.67297 0.79628 18.3% 13.9 295s
21137 5476 0.75967 58 310 0.67297 0.79628 18.3% 13.9 301s
21140 5478 0.70300 73 324 0.67297 0.79628 18.3% 13.9 305s
21143 5480 0.69586 69 307 0.67297 0.79628 18.3% 13.9 312s
21146 5482 0.69974 80 319 0.67297 0.79628 18.3% 13.9 315s
21149 5484 0.70298 103 322 0.67297 0.79628 18.3% 13.9 320s
21152 5486 0.74322 84 326 0.67297 0.79628 18.3% 13.9 325s
21156 5489 0.74991 105 321 0.67297 0.79628 18.3% 13.9 330s
21159 5491 0.77444 72 309 0.67297 0.79628 18.3% 13.9 335s
21163 5493 0.74101 61 311 0.67297 0.79628 18.3% 13.9 341s
21166 5495 0.73088 64 304 0.67297 0.79628 18.3% 13.8 345s
21169 5497 0.68002 177 300 0.67297 0.79628 18.3% 13.8 350s
21171 5499 0.78338 63 296 0.67297 0.79628 18.3% 13.8 355s
21175 5501 0.76536 86 301 0.67297 0.79628 18.3% 13.8 360s
21178 5503 0.77003 66 307 0.67297 0.79628 18.3% 13.8 365s
21182 5506 0.76100 85 312 0.67297 0.79628 18.3% 13.8 370s
21186 5509 0.75540 75 306 0.67297 0.79628 18.3% 13.8 376s
21188 5510 0.69790 138 301 0.67297 0.79628 18.3% 13.8 380s
21191 5512 0.73941 77 307 0.67297 0.79628 18.3% 13.8 385s
21195 5515 0.69899 75 309 0.67297 0.79628 18.3% 13.8 390s
21197 5516 0.79339 52 304 0.67297 0.79628 18.3% 13.8 396s
21199 5517 0.68558 153 304 0.67297 0.79628 18.3% 13.8 402s
21200 5518 infeasible 20 0.67297 0.79628 18.3% 18.2 412s
21202 5517 0.79628 21 284 0.67297 0.79628 18.3% 18.2 422s
21204 5518 0.79628 23 264 0.67297 0.79628 18.3% 18.2 430s
21218 5520 0.79628 27 256 0.67297 0.79628 18.3% 18.4 435s
21250 5522 0.79628 31 253 0.67297 0.79628 18.3% 19.1 440s
21299 5537 0.79628 36 247 0.67297 0.79628 18.3% 19.5 445s
21526 5533 0.79628 33 243 0.67297 0.79628 18.3% 20.0 450s
21641 5531 0.71016 48 177 0.67297 0.79628 18.3% 20.7 456s
21763 5531 infeasible 36 0.67297 0.79628 18.3% 21.4 460s
21906 5540 0.74762 51 195 0.67297 0.79628 18.3% 22.1 466s
22054 5554 0.73118 41 202 0.67297 0.79535 18.2% 22.8 470s
22452 5557 infeasible 33 0.67297 0.79529 18.2% 23.5 476s
22620 5566 0.70361 57 125 0.67297 0.78435 16.6% 24.0 481s
22943 5541 infeasible 44 0.67297 0.78350 16.4% 24.4 485s
23108 5544 0.76910 32 249 0.67297 0.78133 16.1% 24.8 490s
23188 5553 0.75779 34 251 0.67297 0.78008 15.9% 25.0 496s
23512 5619 0.73850 46 207 0.67297 0.77896 15.8% 25.5 500s
23726 5623 infeasible 49 0.67297 0.77690 15.4% 26.0 505s
24076 5682 0.73361 52 170 0.67297 0.77531 15.2% 26.3 511s
24462 5768 0.75538 43 164 0.67297 0.77097 14.6% 26.7 517s
24690 5769 0.76362 39 206 0.67297 0.77003 14.4% 27.0 520s
25031 5806 cutoff 45 0.67297 0.76826 14.2% 27.6 526s
25437 5859 0.69714 37 216 0.67297 0.76554 13.8% 28.0 533s
25458 5850 infeasible 41 0.67297 0.76492 13.7% 28.1 537s
25617 5848 0.74982 38 213 0.67297 0.76435 13.6% 28.5 543s
25822 5884 0.71647 41 182 0.67297 0.76383 13.5% 28.7 547s
25993 5877 0.74354 45 160 0.67297 0.76194 13.2% 29.2 551s
26230 5878 cutoff 40 0.67297 0.76044 13.0% 29.5 560s
26609 5858 infeasible 44 0.67297 0.75793 12.6% 30.0 568s
26865 5858 0.70211 40 214 0.67297 0.75653 12.4% 30.2 572s
27149 5864 0.72520 57 160 0.67297 0.75472 12.1% 30.5 577s
27531 5872 infeasible 44 0.67297 0.75410 12.1% 30.8 583s
27859 5850 infeasible 59 0.67297 0.75221 11.8% 31.1 589s
28193 5842 0.73817 47 158 0.67297 0.75056 11.5% 31.6 595s
28630 5866 0.74024 46 181 0.67297 0.74897 11.3% 31.9 600s
Cutting planes:
Learned: 2
Gomory: 194
Cover: 14
Implied bound: 41
Projected implied bound: 55
Clique: 5
MIR: 277
StrongCG: 9
Flow cover: 852
Inf proof: 76
Explored 28967 nodes (936329 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.672965 0.672965
Time limit reached
Best objective 6.729652871643e-01, best bound 7.476218694504e-01, gap 11.0937%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 3
Seed for training 29
Seed for simulation 224
direc: array([[-5.30501335, 1. , 1. ],
[-5.74382501, 5.00486459, 2.17903187],
[ 0. , 90.05962189, 0. ]])
fopt: 0.5805558737681918
fun: -0.5795463886463703
message: 'Optimization terminated successfully.'
nfev: 1524
nit: 16
status: 0
success: True
x: array([ 80.6615638 , 230. , 108.15944836])
xopt: array([ 80., 230., 109.])
zopt: array([ 80., 310., 419.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc9btlwry.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj7znz802.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.580556
Presolve removed 845 rows and 525 columns
Presolve time: 0.03s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.192061e+00, 1327 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19206 0 112 0.58056 1.19206 105% - 0s
0 0 1.14280 0 153 0.58056 1.14280 96.8% - 0s
0 0 1.14277 0 140 0.58056 1.14277 96.8% - 0s
0 0 1.12587 0 180 0.58056 1.12587 93.9% - 0s
0 0 1.12487 0 171 0.58056 1.12487 93.8% - 0s
0 0 1.11534 0 198 0.58056 1.11534 92.1% - 0s
0 0 1.11296 0 202 0.58056 1.11296 91.7% - 0s
0 0 1.10710 0 214 0.58056 1.10710 90.7% - 0s
0 0 1.10680 0 218 0.58056 1.10680 90.6% - 0s
0 0 1.10667 0 217 0.58056 1.10667 90.6% - 0s
0 0 1.10656 0 215 0.58056 1.10656 90.6% - 0s
0 0 1.10656 0 218 0.58056 1.10656 90.6% - 0s
0 0 1.10656 0 219 0.58056 1.10656 90.6% - 0s
0 0 1.10654 0 218 0.58056 1.10654 90.6% - 0s
0 0 1.10654 0 169 0.58056 1.10654 90.6% - 0s
0 2 1.10654 0 167 0.58056 1.10654 90.6% - 0s
758 569 1.03557 7 145 0.58056 1.04216 79.5% 22.6 5s
785 578 infeasible 16 0.58056 1.04216 79.5% 31.9 10s
1546 751 1.01301 23 201 0.58056 1.04216 79.5% 33.6 15s
2287 737 0.99012 21 187 0.58056 1.02028 75.7% 34.2 20s
H 2361 726 0.5942867 1.02028 71.7% 34.1 20s
H 2539 802 0.6208326 1.01529 63.5% 33.7 22s
3366 1295 0.83251 43 167 0.62083 1.00477 61.8% 32.0 25s
H 3466 1300 0.6551222 1.00258 53.0% 31.9 27s
3972 1566 0.87135 54 177 0.65512 0.99908 52.5% 32.1 30s
5035 2070 infeasible 31 0.65512 0.99025 51.2% 32.4 35s
6559 2724 0.93516 34 181 0.65512 0.98175 49.9% 31.0 40s
8094 2814 infeasible 38 0.65512 0.95079 45.1% 29.9 45s
10196 3111 infeasible 42 0.65512 0.91506 39.7% 26.8 50s
12857 4281 0.86884 57 160 0.65512 0.89770 37.0% 23.8 55s
*14897 4858 212 0.6552365 0.88642 35.3% 22.5 59s
15295 4996 0.87214 50 159 0.65524 0.88459 35.0% 22.2 60s
17624 5628 infeasible 72 0.65524 0.85770 30.9% 21.4 65s
20429 6564 0.80786 68 137 0.65524 0.84664 29.2% 19.9 70s
21396 6896 0.65973 118 169 0.65524 0.84369 28.8% 19.6 99s
21399 6898 0.82052 65 201 0.65524 0.84369 28.8% 19.6 100s
21409 6905 0.78211 84 275 0.65524 0.84369 28.8% 19.6 105s
21414 6908 0.78380 62 283 0.65524 0.84369 28.8% 19.6 110s
21418 6911 0.77788 87 281 0.65524 0.84369 28.8% 19.6 115s
21423 6914 0.68970 91 261 0.65524 0.84369 28.8% 19.6 121s
21428 6917 0.75579 48 285 0.65524 0.84369 28.8% 19.6 126s
21430 6919 0.77290 92 271 0.65524 0.84369 28.8% 19.6 130s
21433 6921 0.81061 79 283 0.65524 0.84369 28.8% 19.6 136s
21436 6923 0.70491 76 292 0.65524 0.84369 28.8% 19.6 140s
21439 6925 0.77331 77 287 0.65524 0.84369 28.8% 19.6 145s
21443 6927 0.81636 69 287 0.65524 0.84369 28.8% 19.6 152s
21446 6929 0.69037 61 298 0.65524 0.84369 28.8% 19.6 157s
21448 6931 0.80886 87 317 0.65524 0.84369 28.8% 19.6 160s
21452 6933 0.75961 63 298 0.65524 0.84369 28.8% 19.6 165s
21457 6937 0.81644 84 305 0.65524 0.84369 28.8% 19.6 170s
21460 6939 0.82490 78 334 0.65524 0.84369 28.8% 19.6 176s
21463 6941 0.77279 104 308 0.65524 0.84369 28.8% 19.6 181s
21468 6944 0.71997 76 301 0.65524 0.84369 28.8% 19.5 186s
21472 6947 0.77034 70 329 0.65524 0.84369 28.8% 19.5 190s
21475 6949 0.81005 69 325 0.65524 0.84369 28.8% 19.5 195s
21479 6951 0.78553 62 332 0.65524 0.84369 28.8% 19.5 200s
21481 6953 0.74896 71 310 0.65524 0.84369 28.8% 19.5 205s
21484 6955 0.81136 80 318 0.65524 0.84369 28.8% 19.5 211s
21487 6957 0.72095 74 316 0.65524 0.84335 28.7% 19.5 216s
21489 6958 0.79473 94 313 0.65524 0.84250 28.6% 19.5 220s
21492 6960 0.76990 65 316 0.65524 0.84117 28.4% 19.5 226s
21494 6961 0.77845 77 311 0.65524 0.84066 28.3% 19.5 231s
21497 6963 0.80481 78 323 0.65524 0.84024 28.2% 19.5 236s
21500 6965 0.70768 63 328 0.65524 0.83982 28.2% 19.5 241s
21502 6967 0.82506 51 322 0.65524 0.83961 28.1% 19.5 245s
21505 6969 0.72655 84 326 0.65524 0.83933 28.1% 19.5 250s
21508 6971 0.73557 42 314 0.65524 0.83861 28.0% 19.5 256s
21511 6973 0.83587 56 309 0.65524 0.83764 27.8% 19.5 260s
21514 6975 0.78380 62 318 0.65524 0.83663 27.7% 19.5 265s
21516 6976 0.68698 69 325 0.65524 0.83588 27.6% 19.5 270s
21519 6978 0.70623 165 327 0.65524 0.83515 27.5% 19.5 276s
21522 6980 0.68847 75 328 0.65524 0.83350 27.2% 19.5 280s
21525 6982 0.68406 148 333 0.65524 0.83291 27.1% 19.5 285s
21528 6984 0.75579 48 336 0.65524 0.83249 27.1% 19.5 291s
21530 6985 0.77290 92 318 0.65524 0.83227 27.0% 19.5 296s
21532 6987 0.75133 65 321 0.65524 0.83168 26.9% 19.5 300s
21536 6989 0.70491 76 323 0.65524 0.82915 26.5% 19.5 305s
21539 6991 0.77331 77 337 0.65524 0.82826 26.4% 19.5 310s
21541 6993 0.76165 109 321 0.65524 0.82797 26.4% 19.5 315s
21543 6994 0.81636 69 325 0.65524 0.82747 26.3% 19.5 320s
21545 6995 0.72485 56 318 0.65524 0.82658 26.1% 19.5 325s
21547 6997 0.77963 76 308 0.65524 0.82577 26.0% 19.5 332s
21549 6998 0.76030 44 312 0.65524 0.82557 26.0% 19.5 337s
21551 6999 0.74771 93 327 0.65524 0.82490 25.9% 19.5 342s
H21552 6647 0.6552365 0.82458 25.8% 19.5 348s
21555 6649 0.82417 53 311 0.65524 0.82417 25.8% 19.5 352s
21557 6650 0.81644 84 316 0.65524 0.82376 25.7% 19.5 357s
21559 6652 0.78657 72 323 0.65524 0.82362 25.7% 19.5 361s
21561 6653 0.76099 121 323 0.65524 0.82348 25.7% 19.5 367s
21563 6654 0.77279 104 315 0.65524 0.82273 25.6% 19.5 371s
21565 6656 0.72652 85 324 0.65524 0.82249 25.5% 19.5 375s
21568 6658 0.71997 76 318 0.65524 0.82201 25.5% 19.5 380s
21571 6660 0.76941 92 324 0.65524 0.82182 25.4% 19.5 385s
21575 6662 0.81005 69 329 0.65524 0.82166 25.4% 19.4 392s
21577 6664 0.71370 67 322 0.65524 0.82156 25.4% 19.4 395s
H21580 6330 0.6552368 0.82119 25.3% 19.4 401s
21583 6332 0.69924 78 316 0.65524 0.82093 25.3% 19.4 406s
21585 6333 0.82072 77 312 0.65524 0.82072 25.3% 19.4 410s
21589 6336 0.79473 94 323 0.65524 0.82052 25.2% 19.4 415s
21593 6338 0.67284 53 323 0.65524 0.81974 25.1% 19.4 421s
21596 6340 0.65973 118 325 0.65524 0.81864 24.9% 19.4 425s
21600 6343 0.70768 63 321 0.65524 0.81773 24.8% 19.4 431s
21603 6345 0.73123 113 337 0.65524 0.81689 24.7% 19.4 435s
21606 6347 0.81644 46 321 0.65524 0.81644 24.6% 19.4 440s
21609 6349 0.78211 84 328 0.65524 0.81525 24.4% 19.4 445s
21612 6351 0.81481 91 329 0.65524 0.81481 24.4% 19.4 451s
21615 6353 0.72375 87 333 0.65524 0.81423 24.3% 19.4 455s
21617 6354 0.66664 54 332 0.65524 0.81339 24.1% 19.4 460s
21620 6356 0.68365 176 325 0.65524 0.81316 24.1% 19.4 465s
21623 6358 0.68970 91 335 0.65524 0.81303 24.1% 19.4 470s
21626 6360 0.77285 96 331 0.65524 0.81295 24.1% 19.4 476s
21628 6362 0.75579 48 334 0.65524 0.81290 24.1% 19.4 480s
21632 6364 0.75133 65 346 0.65524 0.81288 24.1% 19.4 487s
21634 6366 0.77253 91 336 0.65524 0.81263 24.0% 19.4 491s
21636 6367 0.70491 76 328 0.65524 0.81230 24.0% 19.4 495s
21639 6369 0.77331 77 340 0.65524 0.81207 23.9% 19.4 500s
21641 6370 0.76165 109 326 0.65524 0.80963 23.6% 19.4 506s
21642 6371 0.80876 27 317 0.65524 0.80876 23.4% 23.6 517s
21643 6371 0.80842 28 306 0.65524 0.80842 23.4% 23.7 527s
21644 6371 0.80568 29 300 0.65524 0.80568 23.0% 23.7 534s
21645 6371 0.75665 30 272 0.65524 0.80413 22.7% 23.7 542s
21656 6372 0.79450 34 305 0.65524 0.80141 22.3% 23.8 545s
21692 6368 0.77834 39 293 0.65524 0.79180 20.8% 24.0 550s
H21703 6051 0.6558256 0.79180 20.7% 24.0 551s
21731 6047 0.75829 42 273 0.65583 0.79180 20.7% 24.1 555s
H21736 5740 0.6574755 0.79180 20.4% 24.1 555s
21883 5739 0.70004 57 234 0.65748 0.78898 20.0% 24.6 560s
22122 5835 0.71993 90 186 0.65748 0.78705 19.7% 25.1 565s
H22189 5574 0.6575740 0.78705 19.7% 25.1 567s
22305 5612 0.73539 54 242 0.65757 0.78705 19.7% 25.2 570s
22425 5623 0.73967 46 252 0.65757 0.77899 18.5% 25.8 576s
22588 5599 infeasible 56 0.65757 0.77760 18.3% 26.5 580s
22729 5580 0.67437 50 247 0.65757 0.77323 17.6% 27.4 586s
22822 5578 0.68652 57 206 0.65757 0.77063 17.2% 28.0 591s
23035 5574 0.76281 59 227 0.65757 0.76807 16.8% 28.6 595s
23204 5615 0.66049 157 29 0.65757 0.76614 16.5% 28.9 600s
Cutting planes:
Gomory: 170
Cover: 6
Implied bound: 26
Projected implied bound: 39
Clique: 5
MIR: 154
StrongCG: 4
Flow cover: 499
Flow path: 1
Inf proof: 22
Zero half: 2
Explored 23264 nodes (680095 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.657574 0.657475 0.655826 ... 0.580556
Time limit reached
Best objective 6.575740248202e-01, best bound 7.661359228341e-01, gap 16.5095%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb5jjtwt6.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbiaf4mmg.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.01s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.6496987e+02 1.064041e+04 0.000000e+00 0s
368 1.1982725e+01 0.000000e+00 0.000000e+00 0s
Solved in 368 iterations and 0.02 seconds
Optimal objective 1.198272494e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00294318, -0.01395032, -0.01395032]])
fopt: 3.5534126956833925
fun: -3.564461751680684
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 19.98779859, -87.9999986 , -87.9999986 ])
xopt: array([20., 0., 0.])
zopt: array([20., 20., 20.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.58850825e-08, -1.12724879e-09, -1.23391645e-09]])
fopt: 2.791215955485874
fun: -2.8107019521175727
message: 'Optimization terminated successfully.'
nfev: 209
nit: 2
status: 0
success: True
x: array([42.95597294, -0.84472912, -1. ])
xopt: array([43., 0., 0.])
zopt: array([43., 43., 43.])
*******************************************
Period: 3
direc: array([[ 0.0000000e+00, 0.0000000e+00, 1.0000000e+00],
[ 0.0000000e+00, 1.0000000e+00, 0.0000000e+00],
[ 1.6568962e-09, -5.1513880e-11, 0.0000000e+00]])
fopt: 2.406244103039038
fun: -2.4161473232033743
message: 'Optimization terminated successfully.'
nfev: 226
nit: 2
status: 0
success: True
x: array([ 6.59714274e+01, -4.38166898e-02, 1.00000000e+00])
xopt: array([66., 0., 1.])
zopt: array([66., 66., 67.])
*******************************************
Period: 4
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 2.21988160208418
fun: -2.225422184849949
message: 'Optimization terminated successfully.'
nfev: 183
nit: 2
status: 0
success: True
x: array([86.60779951, -0.9870706 , 1.0001564 ])
xopt: array([86., 0., 1.])
zopt: array([86., 86., 87.])
*******************************************
Period: 5
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.80547026e-01, 1.49711349e-10, 0.00000000e+00]])
fopt: 1.7437674783201178
fun: -1.7500571985723135
message: 'Optimization terminated successfully.'
nfev: 301
nit: 2
status: 0
success: True
x: array([98.0003271 , 1.00000008, 1. ])
xopt: array([98., 1., 1.])
zopt: array([ 98., 99., 100.])
*******************************************
Period: 6
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.621315449444721
fun: -1.621774272577083
message: 'Optimization terminated successfully.'
nfev: 228
nit: 2
status: 0
success: True
x: array([114.57268773, 2.11748228, 1. ])
xopt: array([114., 2., 1.])
zopt: array([114., 116., 117.])
*******************************************
Period: 7
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.45160934e-02, 1.05994591e-04, 0.00000000e+00]])
fopt: 1.3563555545653998
fun: -1.356257217764193
message: 'Optimization terminated successfully.'
nfev: 392
nit: 3
status: 0
success: True
x: array([139.560264 , 3.01174818, 1. ])
xopt: array([139., 3., 1.])
zopt: array([139., 142., 143.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.33932581e-05, -2.13181083e-09, -3.50295647e-11]])
fopt: 1.1497150470792483
fun: -1.1505060931261482
message: 'Optimization terminated successfully.'
nfev: 235
nit: 2
status: 0
success: True
x: array([166.49962556, 1.00813059, 1.0001335 ])
xopt: array([166., 1., 1.])
zopt: array([166., 167., 168.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.97480022e-02, -5.37497739e-08, -1.62496695e-05]])
fopt: 0.997790271545973
fun: -1.0012800386757685
message: 'Optimization terminated successfully.'
nfev: 323
nit: 3
status: 0
success: True
x: array([166.04287576, 1.00092893, 1.01515053])
xopt: array([166., 1., 1.])
zopt: array([166., 167., 168.])
*******************************************
Period: 10
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.7955015172936747
fun: -0.8000570832760678
message: 'Optimization terminated successfully.'
nfev: 342
nit: 3
status: 0
success: True
x: array([165.10487363, 3.01181832, 1. ])
xopt: array([165., 4., 1.])
zopt: array([165., 169., 170.])
*******************************************
Period: 11
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.94496203e-01, -1.40283298e-03, -2.24826648e-02],
[ 0.00000000e+00, 9.44271915e-01, -4.08563361e-05]])
fopt: 0.8750195499245962
fun: -0.8768428656091949
message: 'Optimization terminated successfully.'
nfev: 386
nit: 4
status: 0
success: True
x: array([165.38722187, 5.00466044, 20.00282411])
xopt: array([165., 6., 20.])
zopt: array([165., 171., 191.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[72.05935701, 0.43544183, 1.75287483]])
fopt: 0.7159149260120571
fun: -0.7112909548406983
message: 'Optimization terminated successfully.'
nfev: 390
nit: 5
status: 0
success: True
x: array([236.88121742, 2.08436388, 8.35592691])
xopt: array([236., 2., 9.])
zopt: array([236., 238., 247.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[92.98607513, 0.56445991, 2.27463207]])
fopt: 0.6607472697516733
fun: -0.66278548312712
message: 'Optimization terminated successfully.'
nfev: 564
nit: 7
status: 0
success: True
x: array([256.3212626 , 2.00544766, 10.00220284])
xopt: array([256., 2., 10.])
zopt: array([256., 258., 268.])
*******************************************
Period: 14
direc: array([[-0. , 0. , -0. ],
[ 0. , 0. , 1. ],
[-0.37962394, 0. , -0.00341781]])
fopt: 0.955065395976997
fun: -0.9535783867066228
message: 'Optimization terminated successfully.'
nfev: 373
nit: 5
status: 0
success: True
x: array([164.12760074, 3.15152313, 87.00998512])
xopt: array([164., 4., 87.])
zopt: array([164., 168., 255.])
*******************************************
Period: 15
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[134.16364518, 0.83487584, 2.14180982]])
fopt: 0.4741232779581323
fun: -0.4716008279532757
message: 'Optimization terminated successfully.'
nfev: 641
nit: 7
status: 0
success: True
x: array([302.99998742, 1.00044087, 6.24141647])
xopt: array([302., 1., 7.])
zopt: array([302., 303., 310.])
*******************************************
Period: 16
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.63451292e+02, 8.25428393e+01, 1.40895350e+02],
[ 1.37735817e-10, -9.18238792e-11, -0.00000000e+00]])
fopt: 1.095077937536185
fun: -1.0933395480735286
message: 'Optimization terminated successfully.'
nfev: 691
nit: 9
status: 0
success: True
x: array([102.00003562, 109. , 176.00360103])
xopt: array([102., 110., 176.])
zopt: array([102., 212., 388.])
*******************************************
Period: 17
direc: array([[-2.36580892e+02, 6.83423504e+01, 1.35985400e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.69851336e-01, -1.32520745e-04, 0.00000000e+00]])
fopt: 1.1234792690487998
fun: -1.123108122607058
message: 'Optimization terminated successfully.'
nfev: 355
nit: 5
status: 0
success: True
x: array([136.0028889 , 71.16284495, 141.31427127])
xopt: array([136., 71., 141.])
zopt: array([136., 207., 348.])
*******************************************
Period: 18
direc: array([[-1.62432840e+02, 4.77903231e+01, 8.30304878e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.96160290e-01, 9.76971504e-01, -9.62699406e-02]])
fopt: 1.173988102206912
fun: -1.1731898384096018
message: 'Optimization terminated successfully.'
nfev: 601
nit: 9
status: 0
success: True
x: array([ 86.0014305 , 120.00114733, 202.49725289])
xopt: array([ 86., 120., 202.])
zopt: array([ 86., 206., 408.])
*******************************************
Period: 19
direc: array([[-29.38835914, 8.05438684, 16.1249578 ],
[ 5.66913463, 0.36923699, 0.76645985],
[-49.0589784 , 36.0916916 , 40.74348972]])
fopt: 1.1988754375603565
fun: -1.1980194599319078
message: 'Optimization terminated successfully.'
nfev: 573
nit: 9
status: 0
success: True
x: array([ 86. , 116.04860666, 190.22701104])
xopt: array([ 86., 116., 190.])
zopt: array([ 86., 202., 392.])
*******************************************
Period: 20
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-235.36892822, 227.53229798, 151.68819865]])
fopt: 1.0699232977574085
fun: -1.0685214617130638
message: 'Optimization terminated successfully.'
nfev: 416
nit: 6
status: 0
success: True
x: array([ 83.00000014, 152. , 157.55347794])
xopt: array([ 83., 152., 157.])
zopt: array([ 83., 235., 392.])
*******************************************
Period: 21
direc: array([[ -0.10664132, 1. , 0. ],
[ 2.18140992, -2.17127354, -16.01487029],
[-48.8352876 , 35.00649264, -0.0549294 ]])
fopt: 1.0812113947501278
fun: -1.080456229892129
message: 'Optimization terminated successfully.'
nfev: 737
nit: 11
status: 0
success: True
x: array([ 86.16648864, 123.00705122, 217.00259224])
xopt: array([ 86., 123., 218.])
zopt: array([ 86., 209., 427.])
*******************************************
Period: 22
direc: array([[ 0. , 0. , 1. ],
[ -3.88812227, 12.1842978 , 3.94242503],
[-15.61885235, 23.94526492, 14.82883617]])
fopt: 0.9851376187894474
fun: -0.9816255743914133
message: 'Optimization terminated successfully.'
nfev: 581
nit: 9
status: 0
success: True
x: array([120.52524853, 95.33062504, 210.03059341])
xopt: array([120., 95., 211.])
zopt: array([120., 215., 426.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 1. ],
[-2.01996283, 0. , 2.01996286],
[ 0.21193655, 50.42009098, 24.50924306]])
fopt: 0.9491103166842821
fun: -0.9480250629509671
message: 'Optimization terminated successfully.'
nfev: 616
nit: 8
status: 0
success: True
x: array([152.41105677, 54.00254176, 221.0000008 ])
xopt: array([152., 55., 221.])
zopt: array([152., 207., 428.])
*******************************************
Period: 24
direc: array([[ 1.69873509e-03, 1.02799391e-03, 1.02799391e-03],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.29233963e-05, 1.99999218e+00, -7.82062654e-06]])
fopt: 0.23230721593089182
fun: -0.23097112429569436
message: 'Optimization terminated successfully.'
nfev: 523
nit: 6
status: 0
success: True
x: array([341.95108688, 9.00101235, 4.01033533])
xopt: array([341., 10., 5.])
zopt: array([341., 351., 356.])
*******************************************
Period: 25
direc: array([[-9.79513844e+00, 5.00559176e+00, 2.56599140e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.42889609e-05, -4.92563202e-04, -5.11733524e-04]])
fopt: 0.932319514491383
fun: -0.9320992627322237
message: 'Optimization terminated successfully.'
nfev: 659
nit: 8
status: 0
success: True
x: array([ 86.01603991, 185.00020903, 122.35811798])
xopt: array([ 86., 185., 122.])
zopt: array([ 86., 271., 393.])
*******************************************
Period: 26
direc: array([[-47.39663449, 22.19796081, 22.19796081],
[ 0. , 1. , 0. ],
[ 0.66859885, 30.63382199, 45.35653937]])
fopt: 0.9720643784226651
fun: -0.9713261822633894
message: 'Optimization terminated successfully.'
nfev: 441
nit: 7
status: 0
success: True
x: array([ 85.50708833, 159.00001788, 178. ])
xopt: array([ 86., 159., 179.])
zopt: array([ 86., 245., 424.])
*******************************************
Period: 27
direc: array([[-42.41133294, 20.01543681, 20.01543681],
[ 0. , 1. , 0. ],
[ 0.1268586 , 33.998057 , 33.73571377]])
fopt: 0.940305370346176
fun: -0.9399999961195438
message: 'Optimization terminated successfully.'
nfev: 566
nit: 8
status: 0
success: True
x: array([ 84.83970229, 154. , 154.06187181])
xopt: array([ 84., 154., 155.])
zopt: array([ 84., 238., 393.])
*******************************************
Period: 28
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.51929729e+02, 1.55143348e+02, 1.03428899e+02],
[ 2.83193913e-10, 9.90000000e-01, 0.00000000e+00]])
fopt: 0.8268695116074212
fun: -0.8222460895174487
message: 'Optimization terminated successfully.'
nfev: 468
nit: 6
status: 0
success: True
x: array([ 85.98253634, 164.00472141, 108.54781794])
xopt: array([ 86., 165., 109.])
zopt: array([ 86., 251., 360.])
*******************************************
Period: 29
direc: array([[ 13.98681175, 5.02036026, 4.97739475],
[ 0. , 1. , 0. ],
[-16.06730124, 19.07647625, 28.30848825]])
fopt: 1.0148792283210368
fun: -1.0148806854242018
message: 'Optimization terminated successfully.'
nfev: 547
nit: 8
status: 0
success: True
x: array([ 87.01353147, 119.03748175, 213.07304291])
xopt: array([ 87., 119., 213.])
zopt: array([ 87., 206., 419.])
*******************************************
Period: 30
direc: array([[-5.16066644e-01, 9.99999995e-01, -5.10082998e-09],
[ 6.37586289e-09, -5.80104629e-09, -5.60635103e-09],
[-2.40829727e+00, 1.94742105e+00, -6.66164392e-09]])
fopt: 0.5651777313854147
fun: -0.5619670694054442
message: 'Optimization terminated successfully.'
nfev: 571
nit: 8
status: 0
success: True
x: array([187.52912903, 85.00496389, 76.56471159])
xopt: array([187., 86., 77.])
zopt: array([187., 273., 350.])
*******************************************
Period: 31
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-4.06665268e-01, 9.92659575e-01, 5.17130400e-03],
[-1.14647123e-12, -2.43024801e-15, -4.72539897e-15]])
fopt: 0.5331715386840592
fun: -0.5312117746608983
message: 'Optimization terminated successfully.'
nfev: 615
nit: 8
status: 0
success: True
x: array([225.00961566, 44.00255907, 79.01258849])
xopt: array([225., 45., 80.])
zopt: array([225., 270., 350.])
*******************************************
Period: 32
direc: array([[-10.48570512, 2.01965948, 4.14232007],
[-29.22815306, 16.18650752, 22.62187817],
[ 0.88844045, 108.22109288, -0.6876311 ]])
fopt: 0.8611264242606315
fun: -0.8605943572039143
message: 'Optimization terminated successfully.'
nfev: 586
nit: 9
status: 0
success: True
x: array([ 86.0700571 , 183.0455865 , 124.01554396])
xopt: array([ 86., 183., 125.])
zopt: array([ 86., 269., 394.])
*******************************************
Period: 33
direc: array([[ 4.58993397e+00, 4.62182864e-01, 1.00078658e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.71448146e-04, 1.16388502e-04, 1.01887829e-04]])
fopt: 0.9234749118839494
fun: -0.9223994285690512
message: 'Optimization terminated successfully.'
nfev: 510
nit: 8
status: 0
success: True
x: array([104.37157849, 107.00013196, 200.04180931])
xopt: array([104., 107., 201.])
zopt: array([104., 211., 412.])
*******************************************
Period: 34
direc: array([[-165.07071813, 36.23445451, 69.31113436],
[ 0. , 1. , 0. ],
[ -10.71068326, 14.03164378, 23.08700473]])
fopt: 0.9555909640871593
fun: -0.9532341339960979
message: 'Optimization terminated successfully.'
nfev: 529
nit: 8
status: 0
success: True
x: array([ 87.8731287 , 119.06509771, 210.5002479 ])
xopt: array([ 87., 120., 210.])
zopt: array([ 87., 207., 417.])
*******************************************
Period: 35
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.30790378081970116
fun: -0.30790371636638875
message: 'Optimization terminated successfully.'
nfev: 177
nit: 2
status: 0
success: True
x: array([387.9990365, 2. , 2. ])
xopt: array([388., 2., 2.])
zopt: array([388., 390., 392.])
*******************************************
Period: 36
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.2994848415614069
fun: -0.29948484152501864
message: 'Optimization terminated successfully.'
nfev: 316
nit: 3
status: 0
success: True
x: array([387.99999944, 2. , 2. ])
xopt: array([388., 2., 2.])
zopt: array([388., 390., 392.])
*******************************************
Period: 37
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.0020458, -0. , -0. ]])
fopt: 0.2948875531580862
fun: -0.2948875531560895
message: 'Optimization terminated successfully.'
nfev: 333
nit: 3
status: 0
success: True
x: array([387.99999997, 2. , 2. ])
xopt: array([388., 2., 2.])
zopt: array([388., 390., 392.])
*******************************************
Period: 38
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.29298430251829854
fun: -0.2929841335313776
message: 'Optimization terminated successfully.'
nfev: 259
nit: 2
status: 0
success: True
x: array([389.99859891, 1. , 1. ])
xopt: array([390., 1., 1.])
zopt: array([390., 391., 392.])
*******************************************
Period: 39
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00426698, -0. , -0. ]])
fopt: 0.2962310077784305
fun: -0.2962310077260033
message: 'Optimization terminated successfully.'
nfev: 331
nit: 3
status: 0
success: True
x: array([387.99999964, 2. , 2. ])
xopt: array([388., 2., 2.])
zopt: array([388., 390., 392.])
*******************************************
Period: 40
direc: array([[-1.74263595e+02, 6.43186618e+01, 5.79704894e+01],
[ 6.43673320e+01, -1.78190552e-02, -1.39391201e+01],
[ 4.93511487e-04, 1.10000934e+01, -1.37340928e-04]])
fopt: 0.7421725590932775
fun: -0.7418315410487489
message: 'Optimization terminated successfully.'
nfev: 992
nit: 13
status: 0
success: True
x: array([ 87.10394244, 220.00000038, 101.00040584])
xopt: array([ 87., 220., 102.])
zopt: array([ 87., 307., 409.])
*******************************************
Period: 41
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.0027632, -0. , -0. ]])
fopt: 0.2965373633989087
fun: -0.2965373633336597
message: 'Optimization terminated successfully.'
nfev: 377
nit: 3
status: 0
success: True
x: array([388.99999974, 1. , 2. ])
xopt: array([389., 1., 2.])
zopt: array([389., 390., 392.])
*******************************************
Period: 42
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3077681929773137
fun: -0.30776819090601953
message: 'Optimization terminated successfully.'
nfev: 313
nit: 3
status: 0
success: True
x: array([387.99999299, 2. , 2. ])
xopt: array([388., 2., 2.])
zopt: array([388., 390., 392.])
*******************************************
Period: 43
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.99440443e-05, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.30842431437073814
fun: -0.30842431436958545
message: 'Optimization terminated successfully.'
nfev: 425
nit: 3
status: 0
success: True
x: array([390., 1., 1.])
xopt: array([390., 1., 1.])
zopt: array([390., 391., 392.])
*******************************************
Period: 44
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.31080428821003336
fun: -0.31080427695426477
message: 'Optimization terminated successfully.'
nfev: 243
nit: 3
status: 0
success: True
x: array([387.00000123, 2. , 3.00000517])
xopt: array([387., 2., 3.])
zopt: array([387., 389., 392.])
*******************************************
Period: 45
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.41840408e-04, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.31221260695082337
fun: -0.31221260694557335
message: 'Optimization terminated successfully.'
nfev: 340
nit: 3
status: 0
success: True
x: array([387.99999999, 2. , 2. ])
xopt: array([388., 2., 2.])
zopt: array([388., 390., 392.])
*******************************************
Period: 46
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.46701272, 0. , 2.00000003]])
fopt: 0.7099391528475623
fun: -0.7098118696093738
message: 'Optimization terminated successfully.'
nfev: 516
nit: 6
status: 0
success: True
x: array([207.59564744, 3.00813062, 207.0000018 ])
xopt: array([207., 4., 207.])
zopt: array([207., 211., 418.])
*******************************************
Period: 47
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-2.66198802, 0. , 3.03815492]])
fopt: 0.7072351028954369
fun: -0.7077363934525674
message: 'Optimization terminated successfully.'
nfev: 381
nit: 5
status: 0
success: True
x: array([211.47919066, -2.47659629, 208. ])
xopt: array([211., 0., 208.])
zopt: array([211., 211., 419.])
*******************************************
Period: 48
direc: array([[-1.11355976e+02, -6.25554557e+01, 1.19239630e+02],
[-1.92177209e+00, 0.00000000e+00, 1.13549793e+00],
[ 2.03117386e-01, 2.56971929e-04, 7.70190322e+01]])
fopt: 0.4066970643361701
fun: -0.66005816578519
message: 'Optimization terminated successfully.'
nfev: 619
nit: 7
status: 0
success: True
x: array([271.6385555 , -63.15124303, 209. ])
xopt: array([271., 0., 209.])
zopt: array([271., 271., 480.])
*******************************************
Period: 49
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-4.00325950e+00, 1.24620715e-02, 4.00325940e+00],
[-7.08973521e+00, 8.21130896e+00, 1.51444897e+01]])
fopt: 0.7002971751628674
fun: -0.6988618543001637
message: 'Optimization terminated successfully.'
nfev: 458
nit: 7
status: 0
success: True
x: array([197.50734118, 11.21075948, 209.00000003])
xopt: array([197., 12., 209.])
zopt: array([197., 209., 418.])
*******************************************
Period: 50
direc: array([[ 0.00000000e+00, 1.99014146e+00, 1.97024005e+00],
[-3.14882890e+00, 3.39507481e-02, 3.09568578e+00],
[ 3.06986714e-03, 5.14160144e+00, 1.00662160e+01]])
fopt: 0.6887005720383889
fun: -0.6869860805136981
message: 'Optimization terminated successfully.'
nfev: 541
nit: 8
status: 0
success: True
x: array([198.32290025, 9.09099631, 209.00000002])
xopt: array([198., 10., 209.])
zopt: array([198., 208., 417.])
*******************************************
Period: 51
direc: array([[ 3.33858269e-10, 1.50764135e-07, 1.14839694e-07],
[-4.12538324e+00, 0.00000000e+00, 4.12538314e+00],
[ 6.98213976e-02, -1.57526300e-12, 1.90453145e+01]])
fopt: 0.6737906385860878
fun: -0.6734046583875665
message: 'Optimization terminated successfully.'
nfev: 935
nit: 10
status: 0
success: True
x: array([203.85482302, 3.00000006, 211.00000038])
xopt: array([203., 4., 211.])
zopt: array([203., 207., 418.])
*******************************************
Period: 52
direc: array([[-1.68427643e+02, 0.00000000e+00, 1.31103239e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.26086810e-02, -5.39678925e-02, -1.46771860e-01]])
fopt: 0.6828100672174537
fun: -0.6827918285141964
message: 'Optimization terminated successfully.'
nfev: 654
nit: 8
status: 0
success: True
x: array([178.7029095 , 30.00084129, 216.00000152])
xopt: array([178., 31., 216.])
zopt: array([178., 209., 425.])
*******************************************
Period: 53
direc: array([[-2.29023185e+00, 0.00000000e+00, 2.00000003e+00],
[ 4.21728293e-01, 1.50901703e+01, 2.87853178e+01],
[ 1.17605745e-02, 7.04371938e+00, -1.02702044e-02]])
fopt: 0.6820856712253124
fun: -0.6816508365131019
message: 'Optimization terminated successfully.'
nfev: 1061
nit: 12
status: 0
success: True
x: array([179.53003403, 29.00359745, 215.11421282])
xopt: array([179., 29., 215.])
zopt: array([179., 208., 423.])
*******************************************
Period: 54
direc: array([[-189.19398635, 0. , 126.11863456],
[ -6.01050527, 1. , 6.00552996],
[ -61.80946353, 33.12354629, 74.1037853 ]])
fopt: 0.6864075551294878
fun: -0.6860164675358634
message: 'Optimization terminated successfully.'
nfev: 902
nit: 11
status: 0
success: True
x: array([158.88968323, 47.00764544, 217.00059311])
xopt: array([158., 48., 217.])
zopt: array([158., 206., 423.])
*******************************************
Period: 55
direc: array([[ 0. , 0. , 1. ],
[-2.30915264, 0. , 2.00000003],
[-4.45924226, 15.38381955, 15.07159267]])
fopt: 0.670369102211693
fun: -0.6704452823053231
message: 'Optimization terminated successfully.'
nfev: 784
nit: 10
status: 0
success: True
x: array([185.13630999, 22.00001784, 211.00016045])
xopt: array([185., 23., 211.])
zopt: array([185., 208., 419.])
*******************************************
Period: 56
direc: array([[-1.24801834e+01, 0.00000000e+00, 9.01960735e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.41852030e-02, 1.87330884e+01, 5.01078863e+01]])
fopt: 0.6668286256200385
fun: -0.6661788816540276
message: 'Optimization terminated successfully.'
nfev: 821
nit: 9
status: 0
success: True
x: array([185.05342636, 26.00007591, 206.00000073])
xopt: array([185., 26., 207.])
zopt: array([185., 211., 418.])
*******************************************
Period: 57
direc: array([[ 0.02713392, 12.10913929, 11.31180957],
[-1.99262872, 0. , 2.00000003],
[ 0. , -0. , -0. ]])
fopt: 0.6493722863014056
fun: -0.6489009975021889
message: 'Optimization terminated successfully.'
nfev: 561
nit: 7
status: 0
success: True
x: array([191.5830785 , 16.05512328, 214.00014002])
xopt: array([191., 17., 214.])
zopt: array([191., 208., 422.])
*******************************************
Period: 58
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-39.63285306, 34.66965852, 39.58133194]])
fopt: 0.6603848974509485
fun: -0.6602053976095628
message: 'Optimization terminated successfully.'
nfev: 886
nit: 10
status: 0
success: True
x: array([166.53080347, 37. , 219.00000001])
xopt: array([166., 38., 219.])
zopt: array([166., 204., 423.])
*******************************************
Period: 59
direc: array([[ 0. , 0. , 1. ],
[-2.54646853, 0. , 2.01984717],
[ 0.10229865, 30.02340115, 29.07015437]])
fopt: 0.6594461225734316
fun: -0.6588851458844487
message: 'Optimization terminated successfully.'
nfev: 466
nit: 6
status: 0
success: True
x: array([172.3802353 , 37.10074777, 209. ])
xopt: array([172., 37., 209.])
zopt: array([172., 209., 418.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpez6j9frd.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpep2_xgym.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.04321
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.04321
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpya264poy.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi90z_2ja.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37772
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.791216e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.7912160 2.79122 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.79122 1.37772
Optimal solution found (tolerance 1.00e-02)
Best objective 2.791215955486e+00, best bound 2.791215955486e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq9pp77xy.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_o__hhz9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57134
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.647022e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.64702 0 3 1.57134 2.64702 68.5% - 0s
H 0 0 2.4077247 2.64702 9.94% - 0s
0 0 cutoff 0 2.40772 2.40772 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.40772 1.57134
Optimal solution found (tolerance 1.00e-02)
Best objective 2.407724691662e+00, best bound 2.407724691662e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw66868uo.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt52a8xbr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.53216
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 2.629848e+00, 33 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.62985 0 8 1.53216 2.62985 71.6% - 0s
H 0 0 2.2209920 2.62985 18.4% - 0s
0 0 2.27317 0 1 2.22099 2.27317 2.35% - 0s
0 0 cutoff 0 2.22099 2.22099 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (43 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.22099 1.53216
Optimal solution found (tolerance 1.00e-02)
Best objective 2.220992043552e+00, best bound 2.220992043552e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxu28ax7c.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjyqlujgd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.72254
Presolve removed 123 rows and 87 columns
Presolve time: 0.00s
Presolved: 114 rows, 88 columns, 392 nonzeros
Variable types: 41 continuous, 47 integer (40 binary)
Root relaxation: objective 2.330414e+00, 68 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33041 0 4 1.72254 2.33041 35.3% - 0s
H 0 0 1.8305134 2.33041 27.3% - 0s
0 0 1.87507 0 2 1.83051 1.87507 2.43% - 0s
0 0 1.87206 0 1 1.83051 1.87206 2.27% - 0s
0 0 1.86330 0 1 1.83051 1.86330 1.79% - 0s
0 0 1.85531 0 1 1.83051 1.85531 1.35% - 0s
0 0 1.85456 0 4 1.83051 1.85456 1.31% - 0s
0 0 1.85242 0 5 1.83051 1.85242 1.20% - 0s
0 0 1.85229 0 5 1.83051 1.85229 1.19% - 0s
0 0 1.84765 0 4 1.83051 1.84765 0.94% - 0s
Cutting planes:
Gomory: 2
Implied bound: 3
MIR: 4
Flow cover: 4
Mod-K: 1
Explored 1 nodes (112 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.83051 1.72254
Optimal solution found (tolerance 1.00e-02)
Best objective 1.830513374896e+00, best bound 1.847645205819e+00, gap 0.9359%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkd89e9vf.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkqniwwag.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43629
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.432816e+00, 93 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.43282 0 6 1.43629 2.43282 69.4% - 0s
H 0 0 1.7841898 2.43282 36.4% - 0s
0 0 2.02891 0 3 1.78419 2.02891 13.7% - 0s
0 0 1.86484 0 4 1.78419 1.86484 4.52% - 0s
0 0 1.82884 0 1 1.78419 1.82884 2.50% - 0s
0 0 1.82884 0 1 1.78419 1.82884 2.50% - 0s
0 0 1.82884 0 1 1.78419 1.82884 2.50% - 0s
0 0 cutoff 0 1.78419 1.78419 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (149 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.78419 1.43629
Optimal solution found (tolerance 1.00e-02)
Best objective 1.784189784205e+00, best bound 1.784189784205e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpehrhg_he.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo170_zln.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.484
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.215182e+00, 122 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21518 0 9 1.48400 2.21518 49.3% - 0s
H 0 0 1.6198953 2.21518 36.7% - 0s
0 0 1.98841 0 14 1.61990 1.98841 22.7% - 0s
0 0 1.98841 0 14 1.61990 1.98841 22.7% - 0s
0 0 1.82649 0 4 1.61990 1.82649 12.8% - 0s
0 0 1.77932 0 4 1.61990 1.77932 9.84% - 0s
0 0 1.76038 0 4 1.61990 1.76038 8.67% - 0s
0 0 1.76038 0 4 1.61990 1.76038 8.67% - 0s
H 0 0 1.6198954 1.76038 8.67% - 0s
0 0 1.72181 0 4 1.61990 1.72181 6.29% - 0s
0 0 1.66371 0 2 1.61990 1.66371 2.70% - 0s
Cutting planes:
Gomory: 4
MIR: 1
Flow cover: 1
Explored 1 nodes (259 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.6199 1.6199 1.484
Optimal solution found (tolerance 1.00e-02)
Best objective 1.619895362310e+00, best bound 1.619895362310e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4518qonq.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp63nbvxeh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.34761
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.105114e+00, 162 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10511 0 12 1.34761 2.10511 56.2% - 0s
H 0 0 1.4957703 2.10511 40.7% - 0s
0 0 1.77649 0 17 1.49577 1.77649 18.8% - 0s
0 0 1.65734 0 16 1.49577 1.65734 10.8% - 0s
0 0 1.60693 0 15 1.49577 1.60693 7.43% - 0s
0 0 1.60658 0 15 1.49577 1.60658 7.41% - 0s
0 0 1.60649 0 15 1.49577 1.60649 7.40% - 0s
0 0 1.60634 0 16 1.49577 1.60634 7.39% - 0s
0 0 1.58025 0 11 1.49577 1.58025 5.65% - 0s
0 0 1.58025 0 7 1.49577 1.58025 5.65% - 0s
0 0 1.56327 0 5 1.49577 1.56327 4.51% - 0s
0 0 1.56147 0 3 1.49577 1.56147 4.39% - 0s
0 0 1.55560 0 4 1.49577 1.55560 4.00% - 0s
0 0 1.55450 0 4 1.49577 1.55450 3.93% - 0s
0 0 1.55255 0 4 1.49577 1.55255 3.80% - 0s
0 0 1.55165 0 4 1.49577 1.55165 3.74% - 0s
0 0 1.50789 0 1 1.49577 1.50789 0.81% - 0s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 2
MIR: 4
Flow cover: 5
Explored 1 nodes (396 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.49577 1.34761
Optimal solution found (tolerance 1.00e-02)
Best objective 1.495770345236e+00, best bound 1.507887356191e+00, gap 0.8101%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsg1wg3az.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4yz7skky.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30539
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 1.865760e+00, 209 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86576 0 13 1.30539 1.86576 42.9% - 0s
0 0 1.55328 0 17 1.30539 1.55328 19.0% - 0s
0 0 1.50855 0 16 1.30539 1.50855 15.6% - 0s
0 0 1.50855 0 16 1.30539 1.50855 15.6% - 0s
0 0 1.50764 0 16 1.30539 1.50764 15.5% - 0s
0 0 1.50764 0 16 1.30539 1.50764 15.5% - 0s
0 1 1.48444 0 15 1.30539 1.48444 13.7% - 0s
Cutting planes:
Gomory: 8
Implied bound: 7
MIR: 2
Flow cover: 8
Explored 16 nodes (417 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.30539
Optimal solution found (tolerance 1.00e-02)
Best objective 1.305394981016e+00, best bound 1.305394981016e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpta1fihbj.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp79jyh730.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06803
Presolve removed 194 rows and 125 columns
Presolve time: 0.00s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.201252e+00, 217 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.20125 0 16 1.06803 2.20125 106% - 0s
H 0 0 1.1715845 2.20125 87.9% - 0s
0 0 1.85615 0 23 1.17158 1.85615 58.4% - 0s
0 0 1.85615 0 23 1.17158 1.85615 58.4% - 0s
0 0 1.82210 0 31 1.17158 1.82210 55.5% - 0s
0 0 1.82189 0 29 1.17158 1.82189 55.5% - 0s
0 0 1.71486 0 34 1.17158 1.71486 46.4% - 0s
0 0 1.71478 0 33 1.17158 1.71478 46.4% - 0s
0 0 1.69516 0 34 1.17158 1.69516 44.7% - 0s
0 0 1.69445 0 35 1.17158 1.69445 44.6% - 0s
0 0 1.69445 0 35 1.17158 1.69445 44.6% - 0s
0 0 1.69384 0 32 1.17158 1.69384 44.6% - 0s
0 0 1.69384 0 32 1.17158 1.69384 44.6% - 0s
0 2 1.69384 0 32 1.17158 1.69384 44.6% - 0s
* 97 21 17 1.2131361 1.42661 17.6% 6.1 0s
Cutting planes:
Gomory: 10
Implied bound: 11
MIR: 4
Flow cover: 14
Inf proof: 1
Explored 154 nodes (1355 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.21314 1.17158 1.06803
Optimal solution found (tolerance 1.00e-02)
Best objective 1.213136097079e+00, best bound 1.213136097079e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7ssxph1u.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzdismqn1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03496
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.443521e+00, 241 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.44352 0 26 1.03496 2.44352 136% - 0s
H 0 0 1.0377440 2.44352 135% - 0s
0 0 1.98965 0 35 1.03774 1.98965 91.7% - 0s
0 0 1.98429 0 35 1.03774 1.98429 91.2% - 0s
0 0 1.98426 0 36 1.03774 1.98426 91.2% - 0s
0 0 1.90969 0 38 1.03774 1.90969 84.0% - 0s
0 0 1.90968 0 37 1.03774 1.90968 84.0% - 0s
0 0 1.86905 0 30 1.03774 1.86905 80.1% - 0s
0 0 1.86611 0 36 1.03774 1.86611 79.8% - 0s
0 0 1.85254 0 37 1.03774 1.85254 78.5% - 0s
0 0 1.85254 0 37 1.03774 1.85254 78.5% - 0s
0 0 1.83922 0 40 1.03774 1.83922 77.2% - 0s
0 0 1.83902 0 40 1.03774 1.83902 77.2% - 0s
0 0 1.83732 0 37 1.03774 1.83732 77.0% - 0s
0 0 1.83732 0 33 1.03774 1.83732 77.0% - 0s
0 2 1.83732 0 33 1.03774 1.83732 77.0% - 0s
* 115 50 19 1.2367561 1.73715 40.5% 5.7 0s
* 120 38 20 1.3241890 1.73715 31.2% 5.8 0s
Cutting planes:
Gomory: 9
Implied bound: 22
MIR: 6
Flow cover: 16
Flow path: 1
Inf proof: 1
Explored 231 nodes (1778 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.32419 1.23676 1.03774 1.03496
Optimal solution found (tolerance 1.00e-02)
Best objective 1.324189025831e+00, best bound 1.324189025831e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt6pw3y1h.pyomo.lp
Reading time = 0.01 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi1x3efr1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16612
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.344543e+00, 233 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.34454 0 28 1.16612 2.34454 101% - 0s
0 0 1.91582 0 35 1.16612 1.91582 64.3% - 0s
0 0 1.91559 0 34 1.16612 1.91559 64.3% - 0s
0 0 1.91542 0 34 1.16612 1.91542 64.3% - 0s
0 0 1.84685 0 35 1.16612 1.84685 58.4% - 0s
0 0 1.84521 0 31 1.16612 1.84521 58.2% - 0s
0 0 1.84505 0 32 1.16612 1.84505 58.2% - 0s
0 0 1.80593 0 31 1.16612 1.80593 54.9% - 0s
0 0 1.78521 0 32 1.16612 1.78521 53.1% - 0s
0 0 1.78521 0 32 1.16612 1.78521 53.1% - 0s
0 0 1.78521 0 26 1.16612 1.78521 53.1% - 0s
0 2 1.78521 0 26 1.16612 1.78521 53.1% - 0s
* 125 32 23 1.2416079 1.58137 27.4% 7.2 0s
* 158 34 23 1.2800434 1.57079 22.7% 7.0 0s
* 238 7 19 1.3017977 1.44753 11.2% 6.6 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 21
MIR: 1
Flow cover: 25
Inf proof: 2
Explored 253 nodes (2091 simplex iterations) in 0.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.3018 1.28004 1.24161 1.16612
Optimal solution found (tolerance 1.00e-02)
Best objective 1.301797670596e+00, best bound 1.301797670596e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjx2xo9h1.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzjfmltvp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15086
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.364295e+00, 300 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.36429 0 15 1.15086 2.36429 105% - 0s
0 0 1.90777 0 31 1.15086 1.90777 65.8% - 0s
0 0 1.90293 0 35 1.15086 1.90293 65.3% - 0s
0 0 1.90148 0 36 1.15086 1.90148 65.2% - 0s
0 0 1.88482 0 36 1.15086 1.88482 63.8% - 0s
0 0 1.88482 0 39 1.15086 1.88482 63.8% - 0s
0 0 1.87962 0 36 1.15086 1.87962 63.3% - 0s
0 0 1.87900 0 35 1.15086 1.87900 63.3% - 0s
0 0 1.87900 0 35 1.15086 1.87900 63.3% - 0s
0 0 1.87900 0 35 1.15086 1.87900 63.3% - 0s
0 0 1.87900 0 28 1.15086 1.87900 63.3% - 0s
0 2 1.87900 0 28 1.15086 1.87900 63.3% - 0s
* 137 57 35 1.1941382 1.69108 41.6% 6.3 0s
* 198 69 27 1.1960453 1.65109 38.0% 5.5 0s
* 378 106 30 1.2000974 1.54213 28.5% 4.8 0s
* 421 94 31 1.3046136 1.52901 17.2% 4.7 0s
* 635 50 29 1.3222396 1.43460 8.50% 5.3 0s
H 752 26 1.3262972 1.38782 4.64% 5.4 0s
H 752 26 1.3262972 1.38782 4.64% 5.4 0s
* 792 0 28 1.3283668 1.34408 1.18% 5.5 0s
Cutting planes:
Gomory: 7
Cover: 5
Implied bound: 36
MIR: 2
Flow cover: 20
Flow path: 1
Inf proof: 12
Explored 810 nodes (4974 simplex iterations) in 0.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 1.32837 1.3263 1.3263 ... 1.15086
Optimal solution found (tolerance 1.00e-02)
Best objective 1.328366841315e+00, best bound 1.328366841315e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaqa8h121.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5ks4xwju.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18227
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.325902e+00, 365 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.32590 0 18 1.18227 2.32590 96.7% - 0s
0 0 1.93504 0 32 1.18227 1.93504 63.7% - 0s
0 0 1.87425 0 37 1.18227 1.87425 58.5% - 0s
0 0 1.87381 0 37 1.18227 1.87381 58.5% - 0s
0 0 1.87381 0 37 1.18227 1.87381 58.5% - 0s
0 0 1.87381 0 37 1.18227 1.87381 58.5% - 0s
0 0 1.87381 0 37 1.18227 1.87381 58.5% - 0s
0 2 1.87381 0 37 1.18227 1.87381 58.5% - 0s
* 214 93 44 1.3017663 1.69255 30.0% 6.3 0s
* 472 87 37 1.3204605 1.61587 22.4% 6.1 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 25
MIR: 4
Flow cover: 28
Inf proof: 14
Explored 998 nodes (7153 simplex iterations) in 0.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.32046 1.30177 1.18227
Optimal solution found (tolerance 1.00e-02)
Best objective 1.320460516472e+00, best bound 1.320460516472e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp993680nj.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3oxezm4v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1783
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.294846e+00, 316 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29485 0 18 1.17830 2.29485 94.8% - 0s
0 0 1.90413 0 35 1.17830 1.90413 61.6% - 0s
0 0 1.85216 0 36 1.17830 1.85216 57.2% - 0s
0 0 1.84903 0 39 1.17830 1.84903 56.9% - 0s
0 0 1.84757 0 43 1.17830 1.84757 56.8% - 0s
0 0 1.83314 0 43 1.17830 1.83314 55.6% - 0s
0 0 1.82836 0 41 1.17830 1.82836 55.2% - 0s
0 0 1.82836 0 41 1.17830 1.82836 55.2% - 0s
0 0 1.82799 0 41 1.17830 1.82799 55.1% - 0s
0 0 1.82799 0 39 1.17830 1.82799 55.1% - 0s
0 2 1.82799 0 38 1.17830 1.82799 55.1% - 0s
* 778 133 41 1.1826201 1.38205 16.9% 5.4 0s
* 783 131 39 1.1925683 1.38205 15.9% 5.4 0s
* 791 53 40 1.2895652 1.38205 7.17% 5.4 0s
* 798 48 39 1.2974243 1.38205 6.52% 5.4 0s
* 1014 0 35 1.3001250 1.31467 1.12% 5.3 0s
Cutting planes:
Gomory: 12
Cover: 2
Implied bound: 31
Clique: 1
MIR: 2
Flow cover: 23
Flow path: 1
Inf proof: 10
Explored 1024 nodes (5995 simplex iterations) in 0.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.30012 1.29742 1.28957 ... 1.1783
Optimal solution found (tolerance 1.00e-02)
Best objective 1.300124975467e+00, best bound 1.300124975467e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0822da6s.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpahv03kta.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17474
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.252305e+00, 337 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.25231 0 20 1.17474 2.25231 91.7% - 0s
0 0 1.87127 0 27 1.17474 1.87127 59.3% - 0s
0 0 1.82033 0 36 1.17474 1.82033 55.0% - 0s
0 0 1.82033 0 36 1.17474 1.82033 55.0% - 0s
0 0 1.81886 0 38 1.17474 1.81886 54.8% - 0s
0 0 1.81886 0 36 1.17474 1.81886 54.8% - 0s
0 2 1.81886 0 36 1.17474 1.81886 54.8% - 0s
* 241 87 42 1.2776911 1.59153 24.6% 6.5 0s
* 761 8 40 1.2806601 1.29966 1.48% 6.5 0s
Cutting planes:
Gomory: 15
Implied bound: 29
MIR: 7
Flow cover: 25
Inf proof: 2
Explored 783 nodes (5606 simplex iterations) in 0.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.28066 1.27769 1.17474
Optimal solution found (tolerance 1.00e-02)
Best objective 1.280660086832e+00, best bound 1.280660086832e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4a_4eu38.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfpcr11cc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16601
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.207887e+00, 438 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.20789 0 22 1.16601 2.20789 89.4% - 0s
0 0 1.82389 0 35 1.16601 1.82389 56.4% - 0s
0 0 1.77168 0 33 1.16601 1.77168 51.9% - 0s
0 0 1.77149 0 34 1.16601 1.77149 51.9% - 0s
0 0 1.77149 0 27 1.16601 1.77149 51.9% - 0s
0 2 1.77149 0 27 1.16601 1.77149 51.9% - 0s
* 254 148 52 1.2663565 1.58161 24.9% 6.0 0s
* 1397 45 41 1.2723489 1.31253 3.16% 5.3 0s
Cutting planes:
Gomory: 8
Cover: 3
Implied bound: 26
MIR: 3
Flow cover: 18
Inf proof: 13
Explored 1487 nodes (8453 simplex iterations) in 0.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.27235 1.26636 1.16601
Optimal solution found (tolerance 1.00e-02)
Best objective 1.272348879428e+00, best bound 1.272348879428e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdeyw086b.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplw006s1u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16823
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.148563e+00, 465 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14856 0 24 1.16823 2.14856 83.9% - 0s
0 0 1.77699 0 36 1.16823 1.77699 52.1% - 0s
0 0 1.73170 0 38 1.16823 1.73170 48.2% - 0s
0 0 1.73170 0 38 1.16823 1.73170 48.2% - 0s
0 0 1.73000 0 43 1.16823 1.73000 48.1% - 0s
0 0 1.73000 0 39 1.16823 1.73000 48.1% - 0s
0 2 1.73000 0 39 1.16823 1.73000 48.1% - 0s
* 252 135 54 1.1764535 1.53308 30.3% 7.2 0s
* 1149 190 44 1.1862937 1.35807 14.5% 6.7 0s
* 1234 177 41 1.2050127 1.34438 11.6% 6.7 0s
* 1404 114 40 1.2128493 1.30082 7.25% 6.7 0s
* 1405 111 40 1.2163619 1.30082 6.94% 6.7 0s
* 1433 111 43 1.2166197 1.30082 6.92% 6.7 0s
* 1439 67 43 1.2389141 1.30082 5.00% 6.6 0s
Cutting planes:
Gomory: 9
Cover: 5
Implied bound: 30
MIR: 4
Flow cover: 24
Inf proof: 24
Explored 1634 nodes (11103 simplex iterations) in 1.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.23891 1.21662 1.21636 ... 1.16823
Optimal solution found (tolerance 1.00e-02)
Best objective 1.238914105713e+00, best bound 1.250576459337e+00, gap 0.9413%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmxp1xqes.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpte0rjth0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12957
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 2.123096e+00, 562 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12310 0 26 1.12957 2.12310 88.0% - 0s
0 0 1.74114 0 36 1.12957 1.74114 54.1% - 0s
0 0 1.69822 0 49 1.12957 1.69822 50.3% - 0s
0 0 1.69820 0 43 1.12957 1.69820 50.3% - 0s
0 0 1.69719 0 48 1.12957 1.69719 50.3% - 0s
0 0 1.69719 0 46 1.12957 1.69719 50.3% - 0s
0 2 1.69719 0 46 1.12957 1.69719 50.3% - 0s
* 454 199 64 1.1537891 1.49735 29.8% 8.0 0s
* 883 266 52 1.2062165 1.47127 22.0% 7.9 0s
* 1100 310 56 1.2080728 1.42627 18.1% 7.5 0s
* 2336 55 52 1.2099384 1.23885 2.39% 7.6 1s
Cutting planes:
Gomory: 18
Cover: 10
Implied bound: 41
MIR: 1
Flow cover: 30
Inf proof: 32
Explored 2440 nodes (19227 simplex iterations) in 1.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.20994 1.20807 1.20622 ... 1.12957
Optimal solution found (tolerance 1.00e-02)
Best objective 1.209938355177e+00, best bound 1.218195200486e+00, gap 0.6824%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp2_8mywu.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkiq4fodu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14183
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 2.015547e+00, 532 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01555 0 27 1.14183 2.01555 76.5% - 0s
0 0 1.64802 0 37 1.14183 1.64802 44.3% - 0s
0 0 1.60719 0 54 1.14183 1.60719 40.8% - 0s
0 0 1.60716 0 54 1.14183 1.60716 40.8% - 0s
0 0 1.60620 0 56 1.14183 1.60620 40.7% - 0s
0 0 1.60620 0 55 1.14183 1.60620 40.7% - 0s
0 2 1.60620 0 55 1.14183 1.60620 40.7% - 0s
Cutting planes:
Gomory: 21
Cover: 9
Implied bound: 31
MIR: 2
Flow cover: 34
Inf proof: 25
Explored 1525 nodes (10697 simplex iterations) in 1.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.14183
Optimal solution found (tolerance 1.00e-02)
Best objective 1.141833148047e+00, best bound 1.141833148047e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpadpltbqp.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe5e1hxib.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07297
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.944466e+00, 510 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94447 0 33 1.07297 1.94447 81.2% - 0s
0 0 1.57705 0 42 1.07297 1.57705 47.0% - 0s
0 0 1.53868 0 55 1.07297 1.53868 43.4% - 0s
0 0 1.53814 0 55 1.07297 1.53814 43.4% - 0s
0 0 1.53721 0 59 1.07297 1.53721 43.3% - 0s
0 0 1.53721 0 57 1.07297 1.53721 43.3% - 0s
0 2 1.53721 0 56 1.07297 1.53721 43.3% - 0s
* 1887 518 61 1.0734616 1.15541 7.63% 8.2 3s
* 1888 490 62 1.0739413 1.15541 7.59% 8.2 3s
* 2049 436 54 1.0762074 1.13547 5.51% 8.1 3s
* 2502 255 53 1.0782843 1.10808 2.76% 8.0 3s
* 2758 55 50 1.0842706 1.08826 0.37% 7.7 3s
Cutting planes:
Gomory: 37
Cover: 4
Implied bound: 11
Projected implied bound: 6
Clique: 2
MIR: 12
Flow cover: 31
Inf proof: 9
Explored 2868 nodes (22533 simplex iterations) in 3.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.08427 1.07828 1.07621 ... 1.07297
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084270584736e+00, best bound 1.087805616134e+00, gap 0.3260%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcj7sq23u.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv48ythl_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08376
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.972290e+00, 606 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97229 0 29 1.08376 1.97229 82.0% - 0s
0 0 1.86426 0 48 1.08376 1.86426 72.0% - 0s
0 0 1.72256 0 45 1.08376 1.72256 58.9% - 0s
0 0 1.72256 0 45 1.08376 1.72256 58.9% - 0s
0 0 1.71865 0 50 1.08376 1.71865 58.6% - 0s
0 0 1.70834 0 50 1.08376 1.70834 57.6% - 0s
0 0 1.70505 0 51 1.08376 1.70505 57.3% - 0s
0 0 1.70469 0 52 1.08376 1.70469 57.3% - 0s
0 0 1.70449 0 50 1.08376 1.70449 57.3% - 0s
0 0 1.70449 0 51 1.08376 1.70449 57.3% - 0s
0 0 1.70428 0 51 1.08376 1.70428 57.3% - 0s
0 0 1.70428 0 49 1.08376 1.70428 57.3% - 0s
0 2 1.70428 0 47 1.08376 1.70428 57.3% - 0s
* 3828 402 69 1.0845154 1.18175 8.97% 8.3 4s
4419 191 infeasible 44 1.08452 1.17728 8.55% 8.7 5s
* 4798 71 61 1.0878849 1.12955 3.83% 8.6 5s
Cutting planes:
Learned: 3
Gomory: 41
Cover: 8
Implied bound: 16
Projected implied bound: 20
Clique: 2
MIR: 8
Flow cover: 42
Flow path: 1
Inf proof: 23
Explored 5039 nodes (43864 simplex iterations) in 5.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.08788 1.08452 1.08376
Optimal solution found (tolerance 1.00e-02)
Best objective 1.087884868629e+00, best bound 1.087884868629e+00, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcynhawjh.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpegh2s7tp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08243
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.906626e+00, 654 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90663 0 31 1.08243 1.90663 76.1% - 0s
0 0 1.80422 0 54 1.08243 1.80422 66.7% - 0s
0 0 1.80422 0 54 1.08243 1.80422 66.7% - 0s
0 0 1.66016 0 45 1.08243 1.66016 53.4% - 0s
0 0 1.65772 0 48 1.08243 1.65772 53.1% - 0s
0 0 1.65738 0 48 1.08243 1.65738 53.1% - 0s
0 0 1.65738 0 48 1.08243 1.65738 53.1% - 0s
0 0 1.65738 0 46 1.08243 1.65738 53.1% - 0s
0 2 1.65738 0 46 1.08243 1.65738 53.1% - 0s
4155 519 1.12527 15 52 1.08243 1.17292 8.36% 8.9 5s
Cutting planes:
Learned: 4
Gomory: 35
Cover: 17
Implied bound: 27
Projected implied bound: 21
Clique: 2
MIR: 6
Flow cover: 37
Inf proof: 30
Network: 1
Explored 5414 nodes (53894 simplex iterations) in 6.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.08243
Optimal solution found (tolerance 1.00e-02)
Best objective 1.082431018925e+00, best bound 1.088193409032e+00, gap 0.5324%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm_4s17hp.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr9u_9trj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06906
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.870417e+00, 642 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87042 0 31 1.06906 1.87042 75.0% - 0s
0 0 1.77623 0 51 1.06906 1.77623 66.1% - 0s
0 0 1.69576 0 48 1.06906 1.69576 58.6% - 0s
0 0 1.69128 0 59 1.06906 1.69128 58.2% - 0s
0 0 1.68203 0 59 1.06906 1.68203 57.3% - 0s
0 0 1.67734 0 56 1.06906 1.67734 56.9% - 0s
0 0 1.67600 0 56 1.06906 1.67600 56.8% - 0s
0 0 1.67559 0 56 1.06906 1.67559 56.7% - 0s
0 0 1.67550 0 55 1.06906 1.67550 56.7% - 0s
0 0 1.67550 0 53 1.06906 1.67550 56.7% - 0s
0 0 1.67550 0 47 1.06906 1.67550 56.7% - 0s
0 2 1.67550 0 47 1.06906 1.67550 56.7% - 0s
* 507 187 96 1.0812222 1.37148 26.8% 8.5 0s
5182 298 infeasible 35 1.08122 1.16903 8.12% 7.9 5s
Cutting planes:
Learned: 2
Gomory: 2
Cover: 2
Implied bound: 7
Flow cover: 5
Flow path: 1
Inf proof: 10
Explored 6089 nodes (51074 simplex iterations) in 6.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.08122 1.06906
Optimal solution found (tolerance 1.00e-02)
Best objective 1.081222170516e+00, best bound 1.081222170516e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqsuk12v_.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_6qfiqzv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07352
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.849419e+00, 676 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84942 0 30 1.07352 1.84942 72.3% - 0s
0 0 1.76496 0 50 1.07352 1.76496 64.4% - 0s
0 0 1.76496 0 50 1.07352 1.76496 64.4% - 0s
0 0 1.63114 0 44 1.07352 1.63114 51.9% - 0s
0 0 1.63114 0 44 1.07352 1.63114 51.9% - 0s
0 0 1.62644 0 56 1.07352 1.62644 51.5% - 0s
0 0 1.61778 0 56 1.07352 1.61778 50.7% - 0s
0 0 1.61474 0 55 1.07352 1.61474 50.4% - 0s
0 0 1.61444 0 54 1.07352 1.61444 50.4% - 0s
0 0 1.61178 0 54 1.07352 1.61178 50.1% - 0s
0 0 1.61178 0 54 1.07352 1.61178 50.1% - 0s
0 0 1.61134 0 54 1.07352 1.61134 50.1% - 0s
0 0 1.61134 0 54 1.07352 1.61134 50.1% - 0s
0 0 1.61134 0 51 1.07352 1.61134 50.1% - 0s
0 2 1.61134 0 50 1.07352 1.61134 50.1% - 0s
H 3709 511 1.0738759 1.17252 9.19% 8.3 2s
3733 528 1.17252 12 60 1.07388 1.17252 9.19% 8.7 5s
H 6638 759 1.0743612 1.16056 8.02% 10.0 9s
6948 726 1.13938 37 27 1.07436 1.15419 7.43% 10.3 10s
H 6983 726 1.0746958 1.15396 7.38% 10.3 10s
Cutting planes:
Learned: 3
Gomory: 53
Cover: 21
Implied bound: 22
Projected implied bound: 8
MIR: 13
Flow cover: 47
Flow path: 1
Inf proof: 59
Zero half: 1
Explored 8754 nodes (98110 simplex iterations) in 12.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.0747 1.07436 1.07388 1.07352
Optimal solution found (tolerance 1.00e-02)
Best objective 1.074695792972e+00, best bound 1.077386750115e+00, gap 0.2504%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd7y6mawt.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv8o0o882.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04864
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.810006e+00, 783 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81001 0 35 1.04864 1.81001 72.6% - 0s
0 0 1.72936 0 54 1.04864 1.72936 64.9% - 0s
0 0 1.72927 0 54 1.04864 1.72927 64.9% - 0s
0 0 1.63225 0 61 1.04864 1.63225 55.7% - 0s
0 0 1.63225 0 61 1.04864 1.63225 55.7% - 0s
0 0 1.62963 0 63 1.04864 1.62963 55.4% - 0s
0 0 1.62130 0 63 1.04864 1.62130 54.6% - 0s
0 0 1.61852 0 65 1.04864 1.61852 54.3% - 0s
0 0 1.61822 0 66 1.04864 1.61822 54.3% - 0s
0 0 1.61756 0 63 1.04864 1.61756 54.3% - 0s
0 0 1.61756 0 64 1.04864 1.61756 54.3% - 0s
0 0 1.61740 0 63 1.04864 1.61740 54.2% - 0s
0 0 1.61739 0 63 1.04864 1.61739 54.2% - 0s
0 0 1.61662 0 62 1.04864 1.61662 54.2% - 0s
0 0 1.61662 0 63 1.04864 1.61662 54.2% - 0s
0 0 1.61662 0 61 1.04864 1.61662 54.2% - 0s
0 2 1.61662 0 61 1.04864 1.61662 54.2% - 0s
* 3199 592 83 1.0497133 1.17894 12.3% 7.0 2s
4889 349 infeasible 35 1.04971 1.13319 7.95% 7.7 5s
Cutting planes:
Learned: 2
Gomory: 4
Cover: 1
Implied bound: 7
Inf proof: 3
Explored 5985 nodes (46256 simplex iterations) in 5.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.04971 1.04864
Optimal solution found (tolerance 1.00e-02)
Best objective 1.049713253711e+00, best bound 1.049713253711e+00, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb1avrjjk.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjra_f_c3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0299
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.758276e+00, 768 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75828 0 39 1.02990 1.75828 70.7% - 0s
0 0 1.68087 0 57 1.02990 1.68087 63.2% - 0s
0 0 1.54205 0 62 1.02990 1.54205 49.7% - 0s
0 0 1.54203 0 62 1.02990 1.54203 49.7% - 0s
0 0 1.54005 0 68 1.02990 1.54005 49.5% - 0s
0 0 1.53177 0 68 1.02990 1.53177 48.7% - 0s
0 0 1.52840 0 63 1.02990 1.52840 48.4% - 0s
0 0 1.52840 0 65 1.02990 1.52840 48.4% - 0s
0 0 1.52797 0 61 1.02990 1.52797 48.4% - 0s
0 0 1.52797 0 61 1.02990 1.52797 48.4% - 0s
0 0 1.52797 0 59 1.02990 1.52797 48.4% - 0s
0 2 1.52797 0 58 1.02990 1.52797 48.4% - 0s
1620 476 infeasible 38 1.02990 1.23990 20.4% 13.5 5s
4571 697 cutoff 53 1.02990 1.10496 7.29% 13.4 10s
Cutting planes:
Learned: 1
Gomory: 50
Cover: 7
Implied bound: 24
Projected implied bound: 36
Clique: 1
MIR: 10
Flow cover: 46
Flow path: 1
Inf proof: 80
Explored 6823 nodes (92772 simplex iterations) in 13.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.0299
Optimal solution found (tolerance 1.00e-02)
Best objective 1.029897697352e+00, best bound 1.029897697352e+00, gap 0.0000%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpplfmefc2.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_6eqh0xs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01257
Presolve removed 429 rows and 269 columns
Presolve time: 0.03s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.717682e+00, 856 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71768 0 41 1.01257 1.71768 69.6% - 0s
0 0 1.64354 0 57 1.01257 1.64354 62.3% - 0s
0 0 1.51265 0 65 1.01257 1.51265 49.4% - 0s
0 0 1.51263 0 65 1.01257 1.51263 49.4% - 0s
0 0 1.51024 0 69 1.01257 1.51024 49.1% - 0s
0 0 1.50213 0 66 1.01257 1.50213 48.3% - 0s
0 0 1.49760 0 65 1.01257 1.49760 47.9% - 0s
0 0 1.49724 0 66 1.01257 1.49724 47.9% - 0s
0 0 1.49707 0 65 1.01257 1.49707 47.8% - 0s
0 0 1.49707 0 66 1.01257 1.49707 47.8% - 0s
0 0 1.49699 0 66 1.01257 1.49699 47.8% - 0s
0 0 1.49699 0 64 1.01257 1.49699 47.8% - 0s
0 2 1.49699 0 63 1.01257 1.49699 47.8% - 0s
1818 427 1.04936 59 59 1.01257 1.16316 14.9% 12.6 5s
H 3752 587 1.0238347 1.09380 6.83% 11.6 7s
* 4011 493 93 1.0259601 1.08109 5.37% 11.5 7s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 5
Implied bound: 28
Projected implied bound: 35
Clique: 2
MIR: 9
Flow cover: 69
Inf proof: 39
Explored 4967 nodes (56039 simplex iterations) in 9.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.02596 1.02383 1.01257
Optimal solution found (tolerance 1.00e-02)
Best objective 1.025960122841e+00, best bound 1.025960122841e+00, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp63nuv6xx.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfrbal6x7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02072
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.688614e+00, 820 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68861 0 44 1.02072 1.68861 65.4% - 0s
0 0 1.61839 0 62 1.02072 1.61839 58.6% - 0s
0 0 1.61832 0 62 1.02072 1.61832 58.5% - 0s
0 0 1.51353 0 57 1.02072 1.51353 48.3% - 0s
0 0 1.51268 0 60 1.02072 1.51268 48.2% - 0s
0 0 1.51033 0 65 1.02072 1.51033 48.0% - 0s
0 0 1.50252 0 63 1.02072 1.50252 47.2% - 0s
0 0 1.50004 0 65 1.02072 1.50004 47.0% - 0s
0 0 1.50004 0 65 1.02072 1.50004 47.0% - 0s
0 0 1.49534 0 63 1.02072 1.49534 46.5% - 0s
0 0 1.49530 0 64 1.02072 1.49530 46.5% - 0s
0 0 1.49525 0 64 1.02072 1.49525 46.5% - 0s
0 0 1.49518 0 66 1.02072 1.49518 46.5% - 0s
0 0 1.49518 0 65 1.02072 1.49518 46.5% - 0s
0 2 1.49518 0 64 1.02072 1.49518 46.5% - 0s
* 646 270 110 1.0212953 1.26839 24.2% 8.3 0s
2278 663 1.09296 24 59 1.02130 1.20556 18.0% 10.7 5s
Cutting planes:
Learned: 1
Gomory: 34
Cover: 6
Implied bound: 37
Projected implied bound: 33
Clique: 2
MIR: 7
Flow cover: 43
Flow path: 1
Inf proof: 47
Explored 6111 nodes (61590 simplex iterations) in 9.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0213 1.02072
Optimal solution found (tolerance 1.00e-02)
Best objective 1.021295320181e+00, best bound 1.027910332985e+00, gap 0.6477%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgnu6j17m.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpffsu17ja.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.987252
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.632227e+00, 911 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63223 0 45 0.98725 1.63223 65.3% - 0s
0 0 1.56427 0 67 0.98725 1.56427 58.4% - 0s
0 0 1.56419 0 67 0.98725 1.56419 58.4% - 0s
0 0 1.53516 0 66 0.98725 1.53516 55.5% - 0s
0 0 1.53516 0 66 0.98725 1.53516 55.5% - 0s
0 0 1.52870 0 72 0.98725 1.52870 54.8% - 0s
0 0 1.52083 0 72 0.98725 1.52083 54.0% - 0s
0 0 1.51846 0 71 0.98725 1.51846 53.8% - 0s
0 0 1.51816 0 72 0.98725 1.51816 53.8% - 0s
0 0 1.51807 0 72 0.98725 1.51807 53.8% - 0s
0 0 1.51789 0 72 0.98725 1.51789 53.7% - 0s
0 0 1.51789 0 63 0.98725 1.51789 53.7% - 0s
0 2 1.51789 0 62 0.98725 1.51789 53.7% - 0s
3925 186 1.01108 53 51 0.98725 1.03405 4.74% 8.9 5s
Cutting planes:
Gomory: 1
Implied bound: 11
Flow cover: 1
Inf proof: 6
Explored 4259 nodes (38530 simplex iterations) in 5.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.987252
Optimal solution found (tolerance 1.00e-02)
Best objective 9.872521428413e-01, best bound 9.937405039035e-01, gap 0.6572%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpca8tylfb.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_evdh6nx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.982698
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.654768e+00, 941 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65477 0 43 0.98270 1.65477 68.4% - 0s
0 0 1.58768 0 67 0.98270 1.58768 61.6% - 0s
0 0 1.58765 0 69 0.98270 1.58765 61.6% - 0s
0 0 1.55909 0 76 0.98270 1.55909 58.7% - 0s
0 0 1.55908 0 75 0.98270 1.55908 58.7% - 0s
0 0 1.55658 0 78 0.98270 1.55658 58.4% - 0s
0 0 1.54959 0 78 0.98270 1.54959 57.7% - 0s
0 0 1.54733 0 80 0.98270 1.54733 57.5% - 0s
0 0 1.54707 0 81 0.98270 1.54707 57.4% - 0s
0 0 1.54694 0 82 0.98270 1.54694 57.4% - 0s
0 0 1.54693 0 83 0.98270 1.54693 57.4% - 0s
0 0 1.54639 0 83 0.98270 1.54639 57.4% - 0s
0 0 1.54639 0 83 0.98270 1.54639 57.4% - 0s
0 0 1.54639 0 83 0.98270 1.54639 57.4% - 0s
0 0 1.54639 0 77 0.98270 1.54639 57.4% - 0s
0 2 1.54639 0 77 0.98270 1.54639 57.4% - 0s
3899 543 1.05435 60 51 0.98270 1.09596 11.5% 8.7 5s
Cutting planes:
Gomory: 1
Implied bound: 9
MIR: 1
Flow cover: 2
Inf proof: 2
Explored 7088 nodes (61385 simplex iterations) in 8.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.982698
Optimal solution found (tolerance 1.00e-02)
Best objective 9.826975662173e-01, best bound 9.887349197527e-01, gap 0.6144%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjge2wka4.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvf5alxhp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.974345
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.615539e+00, 870 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61554 0 49 0.97435 1.61554 65.8% - 0s
0 0 1.55476 0 70 0.97435 1.55476 59.6% - 0s
0 0 1.55469 0 72 0.97435 1.55469 59.6% - 0s
0 0 1.52462 0 76 0.97435 1.52462 56.5% - 0s
0 0 1.52453 0 76 0.97435 1.52453 56.5% - 0s
0 0 1.52215 0 81 0.97435 1.52215 56.2% - 0s
0 0 1.51539 0 81 0.97435 1.51539 55.5% - 0s
0 0 1.51313 0 77 0.97435 1.51313 55.3% - 0s
0 0 1.51288 0 79 0.97435 1.51288 55.3% - 0s
0 0 1.51276 0 86 0.97435 1.51276 55.3% - 0s
0 0 1.51276 0 86 0.97435 1.51276 55.3% - 0s
0 0 1.51275 0 87 0.97435 1.51275 55.3% - 0s
0 0 1.51275 0 81 0.97435 1.51275 55.3% - 0s
0 0 1.51275 0 81 0.97435 1.51275 55.3% - 0s
0 0 1.51275 0 81 0.97435 1.51275 55.3% - 0s
0 0 1.51275 0 79 0.97435 1.51275 55.3% - 0s
0 2 1.51275 0 79 0.97435 1.51275 55.3% - 0s
3846 1099 cutoff 34 0.97435 1.09067 11.9% 8.5 5s
8297 1295 cutoff 67 0.97435 1.04587 7.34% 8.4 10s
Cutting planes:
Learned: 1
Gomory: 1
Implied bound: 7
MIR: 1
Flow cover: 2
Inf proof: 2
Explored 10794 nodes (93617 simplex iterations) in 13.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.974345
Optimal solution found (tolerance 1.00e-02)
Best objective 9.743452047110e-01, best bound 9.839251566114e-01, gap 0.9832%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph9ex7syf.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8uh2_6np.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.968871
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.594757e+00, 1010 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59476 0 51 0.96887 1.59476 64.6% - 0s
0 0 1.50204 0 71 0.96887 1.50204 55.0% - 0s
0 0 1.50204 0 71 0.96887 1.50204 55.0% - 0s
0 0 1.49558 0 85 0.96887 1.49558 54.4% - 0s
0 0 1.49555 0 87 0.96887 1.49555 54.4% - 0s
0 0 1.48816 0 86 0.96887 1.48816 53.6% - 0s
0 0 1.47941 0 84 0.96887 1.47941 52.7% - 0s
0 0 1.47305 0 84 0.96887 1.47305 52.0% - 0s
0 0 1.47297 0 85 0.96887 1.47297 52.0% - 0s
0 0 1.47294 0 88 0.96887 1.47294 52.0% - 0s
0 0 1.47294 0 88 0.96887 1.47294 52.0% - 0s
0 0 1.47294 0 88 0.96887 1.47294 52.0% - 0s
0 0 1.47294 0 82 0.96887 1.47294 52.0% - 0s
0 2 1.47294 0 82 0.96887 1.47294 52.0% - 0s
1468 546 0.97229 105 22 0.96887 1.17723 21.5% 13.3 5s
4918 1576 1.02839 53 63 0.96887 1.09104 12.6% 11.5 10s
H 6516 1939 0.9688711 1.07364 10.8% 11.3 12s
7767 2007 infeasible 46 0.96887 1.06346 9.76% 11.6 15s
H 8758 1906 0.9688711 1.05338 8.72% 11.8 16s
10297 1601 cutoff 42 0.96887 1.03693 7.02% 12.2 20s
13228 795 infeasible 73 0.96887 1.00584 3.82% 12.8 25s
Cutting planes:
Learned: 3
Gomory: 53
Cover: 5
Implied bound: 48
Projected implied bound: 50
Clique: 3
MIR: 17
Flow cover: 59
Flow path: 1
Inf proof: 180
Explored 14725 nodes (189227 simplex iterations) in 27.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.968871 0.968871 0.968871
Optimal solution found (tolerance 1.00e-02)
Best objective 9.688711257938e-01, best bound 9.738195578776e-01, gap 0.5107%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbp3kk37r.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_w4lw9za.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.958013
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.558051e+00, 999 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55805 0 52 0.95801 1.55805 62.6% - 0s
0 0 1.49834 0 73 0.95801 1.49834 56.4% - 0s
0 0 1.49832 0 74 0.95801 1.49832 56.4% - 0s
0 0 1.41714 0 69 0.95801 1.41714 47.9% - 0s
0 0 1.41714 0 69 0.95801 1.41714 47.9% - 0s
0 0 1.41601 0 69 0.95801 1.41601 47.8% - 0s
0 0 1.41601 0 70 0.95801 1.41601 47.8% - 0s
0 0 1.41601 0 67 0.95801 1.41601 47.8% - 0s
0 0 1.41601 0 68 0.95801 1.41601 47.8% - 0s
0 0 1.41601 0 68 0.95801 1.41601 47.8% - 0s
0 0 1.41601 0 68 0.95801 1.41601 47.8% - 0s
0 2 1.41601 0 68 0.95801 1.41601 47.8% - 0s
1494 544 1.09297 33 76 0.95801 1.17912 23.1% 13.6 5s
3991 1141 0.99911 34 82 0.95801 1.08833 13.6% 14.4 10s
7495 1055 infeasible 56 0.95801 1.02039 6.51% 12.8 15s
10393 281 infeasible 33 0.95801 0.97891 2.18% 12.5 20s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 7
Implied bound: 34
Projected implied bound: 22
Clique: 6
MIR: 14
Flow cover: 51
Flow path: 1
GUB cover: 1
Inf proof: 98
Explored 10903 nodes (135501 simplex iterations) in 20.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.958013
Optimal solution found (tolerance 1.00e-02)
Best objective 9.580133474823e-01, best bound 9.634825579617e-01, gap 0.5709%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw4p3sz8w.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4qd6azvn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.949158
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.542920e+00, 972 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54292 0 56 0.94916 1.54292 62.6% - 0s
0 0 1.47759 0 71 0.94916 1.47759 55.7% - 0s
0 0 1.47756 0 72 0.94916 1.47756 55.7% - 0s
0 0 1.40976 0 70 0.94916 1.40976 48.5% - 0s
0 0 1.40976 0 71 0.94916 1.40976 48.5% - 0s
0 0 1.40781 0 76 0.94916 1.40781 48.3% - 0s
0 0 1.40162 0 76 0.94916 1.40162 47.7% - 0s
0 0 1.39969 0 73 0.94916 1.39969 47.5% - 0s
0 0 1.39946 0 74 0.94916 1.39946 47.4% - 0s
0 0 1.39936 0 75 0.94916 1.39936 47.4% - 0s
0 0 1.39935 0 74 0.94916 1.39935 47.4% - 0s
0 0 1.39935 0 74 0.94916 1.39935 47.4% - 0s
0 2 1.39935 0 73 0.94916 1.39935 47.4% - 0s
1292 399 1.06666 37 92 0.94916 1.15217 21.4% 14.4 5s
5094 1169 1.05809 32 86 0.94916 1.05897 11.6% 11.7 10s
7935 1308 infeasible 44 0.94916 1.02204 7.68% 11.5 15s
10707 666 infeasible 53 0.94916 0.98146 3.40% 11.8 20s
Cutting planes:
Learned: 4
Gomory: 58
Cover: 7
Implied bound: 33
Projected implied bound: 22
Clique: 3
MIR: 8
Flow cover: 85
Flow path: 2
Inf proof: 108
Zero half: 1
Explored 12517 nodes (145650 simplex iterations) in 22.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.949158
Optimal solution found (tolerance 1.00e-02)
Best objective 9.491584428442e-01, best bound 9.560666666544e-01, gap 0.7278%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplwj2ujhs.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpag10g5e2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.922822
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.500052e+00, 997 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50005 0 57 0.92282 1.50005 62.6% - 0s
0 0 1.41472 0 76 0.92282 1.41472 53.3% - 0s
0 0 1.41470 0 75 0.92282 1.41470 53.3% - 0s
0 0 1.40446 0 78 0.92282 1.40446 52.2% - 0s
0 0 1.40376 0 84 0.92282 1.40376 52.1% - 0s
0 0 1.40376 0 84 0.92282 1.40376 52.1% - 0s
0 0 1.40376 0 86 0.92282 1.40376 52.1% - 0s
0 0 1.40374 0 87 0.92282 1.40374 52.1% - 0s
0 0 1.40374 0 85 0.92282 1.40374 52.1% - 0s
0 0 1.40374 0 85 0.92282 1.40374 52.1% - 0s
0 0 1.40336 0 89 0.92282 1.40336 52.1% - 0s
0 0 1.40336 0 89 0.92282 1.40336 52.1% - 0s
0 0 1.40115 0 81 0.92282 1.40115 51.8% - 0s
0 0 1.40093 0 82 0.92282 1.40093 51.8% - 0s
0 0 1.40063 0 81 0.92282 1.40063 51.8% - 0s
0 0 1.40063 0 81 0.92282 1.40063 51.8% - 0s
0 0 1.40051 0 84 0.92282 1.40051 51.8% - 0s
0 0 1.39914 0 85 0.92282 1.39914 51.6% - 0s
0 0 1.39914 0 85 0.92282 1.39914 51.6% - 0s
0 0 1.39914 0 85 0.92282 1.39914 51.6% - 0s
0 2 1.39914 0 85 0.92282 1.39914 51.6% - 0s
966 476 1.10376 29 84 0.92282 1.21080 31.2% 15.2 5s
3973 977 0.93760 68 47 0.92282 1.04135 12.8% 11.9 10s
7726 1616 0.95392 67 42 0.92282 0.99673 8.01% 10.8 15s
9944 1442 0.95371 56 51 0.92282 0.97892 6.08% 11.3 20s
12720 676 infeasible 72 0.92282 0.94769 2.69% 12.1 25s
Cutting planes:
Gomory: 56
Cover: 5
Implied bound: 28
Projected implied bound: 32
MIR: 12
Flow cover: 68
Inf proof: 143
Explored 14092 nodes (170173 simplex iterations) in 27.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.922822
Optimal solution found (tolerance 1.00e-02)
Best objective 9.228217221455e-01, best bound 9.316808978968e-01, gap 0.9600%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt3i7jhud.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjo5yz_yd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.903451
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.459038e+00, 1072 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45904 0 59 0.90345 1.45904 61.5% - 0s
0 0 1.39724 0 75 0.90345 1.39724 54.7% - 0s
0 0 1.39721 0 76 0.90345 1.39721 54.7% - 0s
0 0 1.37099 0 77 0.90345 1.37099 51.8% - 0s
0 0 1.37078 0 77 0.90345 1.37078 51.7% - 0s
0 0 1.36890 0 82 0.90345 1.36890 51.5% - 0s
0 0 1.36305 0 85 0.90345 1.36305 50.9% - 0s
0 0 1.36119 0 82 0.90345 1.36119 50.7% - 0s
0 0 1.36097 0 83 0.90345 1.36097 50.6% - 0s
0 0 1.36093 0 85 0.90345 1.36093 50.6% - 0s
0 0 1.36092 0 86 0.90345 1.36092 50.6% - 0s
0 0 1.36065 0 86 0.90345 1.36065 50.6% - 0s
0 0 1.36065 0 86 0.90345 1.36065 50.6% - 0s
0 0 1.36065 0 86 0.90345 1.36065 50.6% - 0s
0 2 1.36065 0 85 0.90345 1.36065 50.6% - 0s
839 423 1.05904 24 96 0.90345 1.15408 27.7% 15.8 5s
3062 848 0.90750 57 46 0.90345 1.04315 15.5% 14.1 10s
5547 1494 cutoff 40 0.90345 1.01011 11.8% 13.1 15s
8285 1207 infeasible 48 0.90345 0.97170 7.55% 13.3 20s
10258 668 infeasible 60 0.90345 0.93886 3.92% 13.5 25s
Cutting planes:
Learned: 1
Gomory: 63
Cover: 9
Implied bound: 33
Projected implied bound: 38
Clique: 1
MIR: 11
Flow cover: 94
Flow path: 4
Inf proof: 116
Explored 12409 nodes (165271 simplex iterations) in 28.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.903451
Optimal solution found (tolerance 1.00e-02)
Best objective 9.034507721495e-01, best bound 9.096455367163e-01, gap 0.6857%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp32q89kei.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa24gpri3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.893695
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.443793e+00, 1111 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44379 0 62 0.89369 1.44379 61.6% - 0s
0 0 1.38646 0 78 0.89369 1.38646 55.1% - 0s
0 0 1.38644 0 77 0.89369 1.38644 55.1% - 0s
0 0 1.34558 0 71 0.89369 1.34558 50.6% - 0s
0 0 1.34540 0 71 0.89369 1.34540 50.5% - 0s
0 0 1.34463 0 76 0.89369 1.34463 50.5% - 0s
0 0 1.33893 0 79 0.89369 1.33893 49.8% - 0s
0 0 1.33662 0 76 0.89369 1.33662 49.6% - 0s
0 0 1.33605 0 75 0.89369 1.33605 49.5% - 0s
0 0 1.33573 0 73 0.89369 1.33573 49.5% - 0s
0 0 1.33573 0 73 0.89369 1.33573 49.5% - 0s
0 0 1.33573 0 75 0.89369 1.33573 49.5% - 0s
0 0 1.33572 0 77 0.89369 1.33572 49.5% - 0s
0 0 1.33572 0 77 0.89369 1.33572 49.5% - 0s
0 2 1.33572 0 77 0.89369 1.33572 49.5% - 0s
859 471 1.11621 24 103 0.89369 1.14449 28.1% 17.2 5s
3927 1444 infeasible 28 0.89369 1.06207 18.8% 12.0 10s
7531 2378 0.97049 50 78 0.89369 1.01943 14.1% 10.6 15s
10556 2954 0.90028 74 39 0.89369 0.99106 10.9% 10.6 20s
13021 3021 0.91617 73 52 0.89369 0.97225 8.79% 11.0 25s
15284 2638 infeasible 76 0.89369 0.95917 7.33% 12.0 30s
17480 1926 infeasible 63 0.89369 0.94447 5.68% 13.1 35s
19380 1044 infeasible 78 0.89369 0.92692 3.72% 13.9 40s
Cutting planes:
Learned: 2
Gomory: 56
Cover: 2
Implied bound: 37
Projected implied bound: 37
Clique: 2
MIR: 17
Flow cover: 100
Flow path: 2
Inf proof: 259
Explored 21013 nodes (302306 simplex iterations) in 43.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.893695
Optimal solution found (tolerance 1.00e-02)
Best objective 8.936947563223e-01, best bound 9.003613092036e-01, gap 0.7460%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8rlt64e4.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy59m336w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.881006
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.405938e+00, 1106 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40594 0 67 0.88101 1.40594 59.6% - 0s
0 0 1.34825 0 87 0.88101 1.34825 53.0% - 0s
0 0 1.34822 0 88 0.88101 1.34822 53.0% - 0s
0 0 1.32390 0 90 0.88101 1.32390 50.3% - 0s
0 0 1.32390 0 90 0.88101 1.32390 50.3% - 0s
0 0 1.32381 0 91 0.88101 1.32381 50.3% - 0s
0 0 1.32378 0 89 0.88101 1.32378 50.3% - 0s
0 0 1.32378 0 90 0.88101 1.32378 50.3% - 0s
0 0 1.32378 0 86 0.88101 1.32378 50.3% - 0s
0 2 1.32378 0 86 0.88101 1.32378 50.3% - 0s
1123 480 1.02211 45 109 0.88101 1.19608 35.8% 15.3 5s
4916 1549 infeasible 66 0.88101 1.04829 19.0% 11.3 10s
8796 2508 infeasible 52 0.88101 1.01534 15.2% 10.1 15s
12669 3372 0.92223 58 87 0.88101 0.99554 13.0% 9.6 20s
16148 3462 0.90409 53 68 0.88101 0.97079 10.2% 9.8 25s
19515 3153 cutoff 67 0.88101 0.94978 7.81% 9.8 30s
22479 2297 infeasible 57 0.88101 0.92622 5.13% 9.9 35s
26070 1198 infeasible 68 0.88101 0.89770 1.89% 9.7 40s
Cutting planes:
Gomory: 16
Cover: 3
Implied bound: 14
Projected implied bound: 11
Clique: 1
MIR: 10
Flow cover: 28
Flow path: 1
Inf proof: 13
Explored 27679 nodes (266302 simplex iterations) in 42.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.881006
Optimal solution found (tolerance 1.00e-02)
Best objective 8.810061761470e-01, best bound 8.895173945349e-01, gap 0.9661%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8pvswr9s.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_stq14hf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.85684
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.432246e+00, 1023 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43225 0 67 0.85684 1.43225 67.2% - 0s
0 0 1.36069 0 87 0.85684 1.36069 58.8% - 0s
0 0 1.36066 0 88 0.85684 1.36066 58.8% - 0s
0 0 1.32111 0 107 0.85684 1.32111 54.2% - 0s
0 0 1.32092 0 94 0.85684 1.32092 54.2% - 0s
0 0 1.31939 0 95 0.85684 1.31939 54.0% - 0s
0 0 1.31377 0 97 0.85684 1.31377 53.3% - 0s
0 0 1.31049 0 101 0.85684 1.31049 52.9% - 0s
0 0 1.31020 0 101 0.85684 1.31020 52.9% - 0s
0 0 1.30998 0 105 0.85684 1.30998 52.9% - 0s
0 0 1.30998 0 105 0.85684 1.30998 52.9% - 0s
0 0 1.30998 0 99 0.85684 1.30998 52.9% - 0s
0 0 1.30985 0 99 0.85684 1.30985 52.9% - 0s
0 0 1.30981 0 97 0.85684 1.30981 52.9% - 0s
0 0 1.30981 0 94 0.85684 1.30981 52.9% - 0s
0 2 1.30981 0 92 0.85684 1.30981 52.9% - 0s
763 463 1.15559 16 105 0.85684 1.19017 38.9% 17.8 5s
2398 879 infeasible 31 0.85684 1.09305 27.6% 19.0 10s
H 2914 1074 0.8568401 1.08032 26.1% 18.8 12s
4255 1496 1.04507 35 96 0.85684 1.05674 23.3% 16.7 15s
8283 2240 infeasible 52 0.85684 1.00389 17.2% 13.4 20s
H10545 2724 0.8569477 0.98676 15.1% 12.5 23s
11130 2750 0.94856 47 54 0.85695 0.98353 14.8% 12.5 25s
14006 3015 infeasible 38 0.85695 0.96660 12.8% 12.4 30s
16799 3017 infeasible 70 0.85695 0.95056 10.9% 12.6 35s
19311 2886 0.92456 41 85 0.85695 0.92874 8.38% 12.9 40s
22032 2681 infeasible 78 0.85695 0.91369 6.62% 13.1 45s
23844 2275 0.87768 67 32 0.85695 0.90216 5.28% 13.3 50s
26189 1667 infeasible 41 0.85695 0.88643 3.44% 13.4 55s
28978 867 infeasible 54 0.85695 0.87282 1.85% 13.4 60s
Cutting planes:
Learned: 2
Gomory: 56
Cover: 7
Implied bound: 55
Projected implied bound: 39
Clique: 2
MIR: 21
Flow cover: 77
Flow path: 2
Inf proof: 306
Explored 30099 nodes (403228 simplex iterations) in 62.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.856948 0.85684 0.85684
Optimal solution found (tolerance 1.00e-02)
Best objective 8.569476592382e-01, best bound 8.654748593440e-01, gap 0.9951%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2kqgfiuv.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3j78bazm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.854933
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.435719e+00, 1119 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43572 0 67 0.85493 1.43572 67.9% - 0s
0 0 1.38347 0 86 0.85493 1.38347 61.8% - 0s
0 0 1.38344 0 87 0.85493 1.38344 61.8% - 0s
0 0 1.34078 0 89 0.85493 1.34078 56.8% - 0s
0 0 1.34078 0 89 0.85493 1.34078 56.8% - 0s
0 0 1.33963 0 97 0.85493 1.33963 56.7% - 0s
0 0 1.33434 0 97 0.85493 1.33434 56.1% - 0s
0 0 1.33280 0 95 0.85493 1.33280 55.9% - 0s
0 0 1.33260 0 96 0.85493 1.33260 55.9% - 0s
0 0 1.33258 0 98 0.85493 1.33258 55.9% - 0s
0 0 1.33246 0 97 0.85493 1.33246 55.9% - 0s
0 0 1.33246 0 95 0.85493 1.33246 55.9% - 0s
0 0 1.33246 0 94 0.85493 1.33246 55.9% - 0s
0 2 1.33246 0 94 0.85493 1.33246 55.9% - 0s
944 444 infeasible 43 0.85493 1.17315 37.2% 15.6 5s
3429 1124 1.03535 31 122 0.85493 1.08820 27.3% 14.0 10s
6515 1889 0.87909 47 110 0.85493 1.05218 23.1% 12.9 15s
* 7315 1949 124 0.8572887 1.03781 21.1% 12.9 16s
9449 2018 cutoff 41 0.85729 1.00213 16.9% 12.1 20s
H 9976 2019 0.8575427 0.99189 15.7% 12.0 21s
13083 2464 infeasible 66 0.85754 0.96755 12.8% 11.3 25s
H13832 2562 0.8596599 0.96278 12.0% 11.3 26s
16308 2856 0.91022 66 41 0.85966 0.95159 10.7% 11.2 30s
18234 2903 infeasible 62 0.85966 0.93949 9.29% 11.3 36s
19884 2751 0.87786 63 53 0.85966 0.93137 8.34% 11.5 40s
22183 2603 infeasible 73 0.85966 0.92036 7.06% 11.7 45s
24428 2232 infeasible 82 0.85966 0.90991 5.85% 12.0 50s
26453 1728 0.89500 82 39 0.85966 0.89565 4.19% 12.2 55s
28083 1209 infeasible 88 0.85966 0.88469 2.91% 12.3 60s
Cutting planes:
Learned: 2
Gomory: 58
Cover: 6
Implied bound: 47
Projected implied bound: 18
Clique: 3
MIR: 14
Flow cover: 78
Flow path: 1
Inf proof: 354
Explored 30570 nodes (373713 simplex iterations) in 63.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.85966 0.857543 0.857289 0.854933
Optimal solution found (tolerance 1.00e-02)
Best objective 8.596598928393e-01, best bound 8.682506576321e-01, gap 0.9993%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1buaqtif.pyomo.lp
Reading time = 0.02 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8fqwz0n6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.857472
Presolve removed 611 rows and 381 columns
Presolve time: 0.05s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.416578e+00, 1313 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41658 0 68 0.85747 1.41658 65.2% - 0s
0 0 1.36583 0 90 0.85747 1.36583 59.3% - 0s
0 0 1.36581 0 91 0.85747 1.36581 59.3% - 0s
0 0 1.32049 0 92 0.85747 1.32049 54.0% - 0s
0 0 1.32049 0 92 0.85747 1.32049 54.0% - 0s
0 0 1.31941 0 99 0.85747 1.31941 53.9% - 0s
0 0 1.31425 0 97 0.85747 1.31425 53.3% - 0s
0 0 1.31272 0 95 0.85747 1.31272 53.1% - 0s
0 0 1.31253 0 96 0.85747 1.31253 53.1% - 0s
0 0 1.31250 0 98 0.85747 1.31250 53.1% - 0s
0 0 1.31241 0 97 0.85747 1.31241 53.1% - 0s
0 0 1.31241 0 98 0.85747 1.31241 53.1% - 0s
0 0 1.31241 0 98 0.85747 1.31241 53.1% - 0s
0 2 1.31241 0 98 0.85747 1.31241 53.1% - 0s
809 504 1.18705 18 129 0.85747 1.20294 40.3% 16.7 5s
2850 1011 0.97841 33 138 0.85747 1.09174 27.3% 16.9 10s
4738 1349 0.88995 53 90 0.85747 1.03602 20.8% 17.3 15s
9113 2858 infeasible 63 0.85747 0.99324 15.8% 13.5 20s
H10236 3164 0.8578064 0.98827 15.2% 13.1 22s
11702 3407 0.98226 57 59 0.85781 0.98276 14.6% 13.1 25s
14616 3729 0.92585 65 68 0.85781 0.97176 13.3% 13.1 30s
17337 4043 0.93771 46 51 0.85781 0.96221 12.2% 13.1 35s
20271 4311 0.89566 71 66 0.85781 0.95450 11.3% 13.3 40s
22393 4132 infeasible 71 0.85781 0.94388 10.0% 13.7 45s
23639 3931 infeasible 71 0.85781 0.93881 9.44% 14.0 50s
25803 3627 0.91753 66 61 0.85781 0.92854 8.25% 14.3 55s
27832 3192 0.91822 49 89 0.85781 0.91962 7.21% 14.6 60s
30016 2619 cutoff 64 0.85781 0.90872 5.94% 14.8 65s
31870 2206 0.89753 47 106 0.85781 0.90047 4.97% 14.9 70s
34006 1581 infeasible 76 0.85781 0.88818 3.54% 15.0 75s
36524 736 cutoff 75 0.85781 0.87164 1.61% 15.0 80s
Cutting planes:
Learned: 1
Gomory: 46
Cover: 1
Implied bound: 68
Projected implied bound: 30
Clique: 3
MIR: 19
Flow cover: 107
Flow path: 2
Inf proof: 407
Explored 37435 nodes (560629 simplex iterations) in 81.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.857806 0.857472
Optimal solution found (tolerance 1.00e-02)
Best objective 8.578063668615e-01, best bound 8.660575584937e-01, gap 0.9619%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv2f6ss7n.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpswk2ccxj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.848856
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.397193e+00, 1298 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39719 0 71 0.84886 1.39719 64.6% - 0s
0 0 1.32991 0 99 0.84886 1.32991 56.7% - 0s
0 0 1.32989 0 98 0.84886 1.32989 56.7% - 0s
0 0 1.29893 0 100 0.84886 1.29893 53.0% - 0s
0 0 1.29850 0 99 0.84886 1.29850 53.0% - 0s
0 0 1.29850 0 99 0.84886 1.29850 53.0% - 0s
0 0 1.29850 0 100 0.84886 1.29850 53.0% - 0s
0 0 1.29849 0 100 0.84886 1.29849 53.0% - 0s
0 0 1.29849 0 97 0.84886 1.29849 53.0% - 0s
0 2 1.29849 0 97 0.84886 1.29849 53.0% - 0s
792 518 1.20484 13 121 0.84886 1.20484 41.9% 17.6 5s
2600 855 infeasible 47 0.84886 1.13341 33.5% 17.9 10s
H 3801 1277 0.8491126 1.07565 26.7% 16.0 12s
5261 1632 0.93003 73 80 0.84911 1.04344 22.9% 15.2 15s
H 5589 1774 0.8491126 1.03963 22.4% 14.9 16s
8286 2587 infeasible 95 0.84911 1.00200 18.0% 13.2 20s
*10861 3131 115 0.8494748 0.98523 16.0% 12.9 24s
11600 3301 infeasible 65 0.84947 0.98133 15.5% 12.7 25s
14981 3443 0.94814 62 71 0.84947 0.95895 12.9% 12.8 30s
17482 3439 0.86075 72 63 0.84947 0.94400 11.1% 12.9 35s
H18796 3512 0.8499971 0.93673 10.2% 12.9 38s
H18799 3502 0.8505236 0.93667 10.1% 12.9 38s
19313 3376 infeasible 77 0.85052 0.93366 9.78% 12.9 40s
21517 3127 0.87139 68 34 0.85052 0.92011 8.18% 13.1 45s
24104 2797 infeasible 75 0.85052 0.90767 6.72% 13.2 50s
26386 2193 cutoff 82 0.85052 0.89438 5.16% 13.3 55s
28760 1633 infeasible 82 0.85052 0.88435 3.98% 13.3 60s
31329 872 infeasible 98 0.85052 0.87121 2.43% 13.2 65s
Cutting planes:
Learned: 1
Gomory: 59
Cover: 6
Implied bound: 40
Projected implied bound: 35
Clique: 1
MIR: 22
StrongCG: 2
Flow cover: 102
Flow path: 3
Inf proof: 322
Explored 33396 nodes (434478 simplex iterations) in 69.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.850524 0.849997 0.849475 ... 0.848856
Optimal solution found (tolerance 1.00e-02)
Best objective 8.505236159030e-01, best bound 8.555458441634e-01, gap 0.5905%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcg7b2vgz.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps5dz4lfu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.836167
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.365074e+00, 1094 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36507 0 77 0.83617 1.36507 63.3% - 0s
0 0 1.31542 0 101 0.83617 1.31542 57.3% - 0s
0 0 1.31540 0 100 0.83617 1.31540 57.3% - 0s
0 0 1.29441 0 107 0.83617 1.29441 54.8% - 0s
0 0 1.29441 0 107 0.83617 1.29441 54.8% - 0s
0 0 1.29417 0 109 0.83617 1.29417 54.8% - 0s
0 0 1.29399 0 111 0.83617 1.29399 54.8% - 0s
0 0 1.29349 0 113 0.83617 1.29349 54.7% - 0s
0 0 1.29349 0 113 0.83617 1.29349 54.7% - 0s
0 0 1.29333 0 113 0.83617 1.29333 54.7% - 0s
0 0 1.29288 0 113 0.83617 1.29288 54.6% - 0s
0 0 1.29287 0 113 0.83617 1.29287 54.6% - 0s
0 0 1.29287 0 104 0.83617 1.29287 54.6% - 0s
0 2 1.29287 0 102 0.83617 1.29287 54.6% - 0s
752 486 1.17218 12 139 0.83617 1.17218 40.2% 16.0 5s
1973 649 infeasible 23 0.83617 1.14343 36.7% 21.1 10s
3233 561 infeasible 30 0.83617 1.05215 25.8% 21.8 15s
7358 1794 0.92892 58 71 0.83617 0.96829 15.8% 15.7 20s
10472 2548 0.91958 54 77 0.83617 0.95413 14.1% 14.7 25s
13094 3057 0.90665 68 61 0.83617 0.94145 12.6% 14.5 30s
16064 3371 infeasible 71 0.83617 0.92909 11.1% 14.5 35s
18541 3384 infeasible 76 0.83617 0.91787 9.77% 14.7 40s
20942 3288 0.88884 69 70 0.83617 0.90721 8.50% 14.7 45s
23221 2972 infeasible 65 0.83617 0.89481 7.01% 15.0 50s
25476 2293 0.86691 55 52 0.83617 0.87961 5.20% 15.3 55s
28047 1574 cutoff 73 0.83617 0.86627 3.60% 15.3 60s
30538 633 cutoff 71 0.83617 0.84884 1.52% 15.1 65s
Cutting planes:
Gomory: 68
Cover: 4
Implied bound: 36
Projected implied bound: 45
Clique: 2
MIR: 14
StrongCG: 1
Flow cover: 110
Flow path: 3
Inf proof: 319
Explored 31176 nodes (471622 simplex iterations) in 66.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.836167
Optimal solution found (tolerance 1.00e-02)
Best objective 8.361665865716e-01, best bound 8.437461873735e-01, gap 0.9065%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpubn8uzxf.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph7h4vpqz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.828367
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.348598e+00, 1081 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34860 0 76 0.82837 1.34860 62.8% - 0s
0 0 1.30206 0 97 0.82837 1.30206 57.2% - 0s
0 0 1.30204 0 98 0.82837 1.30204 57.2% - 0s
0 0 1.26094 0 96 0.82837 1.26094 52.2% - 0s
0 0 1.26094 0 96 0.82837 1.26094 52.2% - 0s
0 0 1.25941 0 107 0.82837 1.25941 52.0% - 0s
0 0 1.25462 0 106 0.82837 1.25462 51.5% - 0s
0 0 1.25268 0 109 0.82837 1.25268 51.2% - 0s
0 0 1.25217 0 108 0.82837 1.25217 51.2% - 0s
0 0 1.25136 0 110 0.82837 1.25136 51.1% - 0s
0 0 1.25100 0 112 0.82837 1.25100 51.0% - 0s
0 0 1.25098 0 113 0.82837 1.25098 51.0% - 0s
0 0 1.25061 0 113 0.82837 1.25061 51.0% - 0s
0 0 1.25061 0 113 0.82837 1.25061 51.0% - 0s
0 0 1.25061 0 109 0.82837 1.25061 51.0% - 0s
0 2 1.25061 0 109 0.82837 1.25061 51.0% - 0s
773 516 1.02955 30 156 0.82837 1.16064 40.1% 14.5 5s
1512 701 1.03000 31 141 0.82837 1.12529 35.8% 22.6 10s
2897 1052 infeasible 22 0.82837 1.08122 30.5% 22.9 15s
H 3325 1196 0.8283668 1.06742 28.9% 22.2 17s
4266 1367 0.86183 45 118 0.82837 1.03167 24.5% 21.4 20s
8193 2381 0.95303 64 78 0.82837 0.97970 18.3% 17.4 25s
11490 3433 0.88986 86 44 0.82837 0.96721 16.8% 15.8 30s
14275 4047 0.90128 48 97 0.82837 0.95698 15.5% 15.4 35s
16341 4419 0.87619 70 61 0.82837 0.94990 14.7% 15.2 40s
18731 4686 infeasible 72 0.82837 0.94388 13.9% 15.3 45s
20910 4878 0.90943 84 109 0.82837 0.93669 13.1% 15.3 66s
20924 4887 0.89344 79 190 0.82837 0.93669 13.1% 15.3 71s
20931 4892 0.90290 50 202 0.82837 0.93669 13.1% 15.3 76s
20935 4895 0.87847 109 214 0.82837 0.93669 13.1% 15.3 80s
20941 4899 0.91491 71 223 0.82837 0.93669 13.1% 15.3 85s
20948 4903 0.90649 86 217 0.82837 0.93669 13.1% 15.3 90s
20953 4907 0.92189 50 232 0.82837 0.93669 13.1% 15.3 96s
20958 4910 0.90751 90 228 0.82837 0.93669 13.1% 15.3 100s
20964 4914 0.86686 77 242 0.82837 0.93669 13.1% 15.3 105s
20971 4919 0.87078 74 242 0.82837 0.93669 13.1% 15.3 110s
20976 4922 0.86678 82 244 0.82837 0.93669 13.1% 15.3 115s
20981 4925 0.92673 78 236 0.82837 0.93669 13.1% 15.3 120s
20987 4929 0.92842 82 244 0.82837 0.93669 13.1% 15.3 125s
20993 4933 0.88931 44 237 0.82837 0.93669 13.1% 15.3 130s
20998 4937 0.90646 79 232 0.82837 0.93669 13.1% 15.3 135s
21004 4941 0.88469 112 245 0.82837 0.93669 13.1% 15.2 140s
21009 4944 0.88477 90 243 0.82837 0.93669 13.1% 15.2 145s
21018 4950 0.90459 70 227 0.82837 0.93669 13.1% 15.2 151s
21022 4953 0.88383 55 221 0.82837 0.93669 13.1% 15.2 155s
21028 4957 0.86151 76 230 0.82837 0.93669 13.1% 15.2 161s
21032 4959 0.84715 74 235 0.82837 0.93669 13.1% 15.2 165s
21038 4963 0.87594 46 228 0.82837 0.93669 13.1% 15.2 171s
21042 4966 0.88380 64 235 0.82837 0.93669 13.1% 15.2 175s
21047 4969 0.86969 81 234 0.82837 0.93669 13.1% 15.2 180s
21053 4973 0.92189 50 228 0.82837 0.93669 13.1% 15.2 185s
21058 4977 0.90751 90 233 0.82837 0.93669 13.1% 15.2 190s
21063 4980 0.92418 56 237 0.82837 0.93669 13.1% 15.2 195s
21068 4983 0.87744 75 228 0.82837 0.93669 13.1% 15.2 200s
21073 4987 0.84999 64 227 0.82837 0.93669 13.1% 15.2 205s
21079 4991 0.89232 87 222 0.82837 0.93669 13.1% 15.2 210s
21084 4994 0.91804 72 219 0.82837 0.93669 13.1% 15.2 215s
21090 4998 0.89944 76 227 0.82837 0.93669 13.1% 15.2 220s
21096 5002 0.92806 69 218 0.82837 0.93669 13.1% 15.2 225s
21102 5006 0.90893 80 223 0.82837 0.93669 13.1% 15.2 230s
21109 5011 0.88477 90 232 0.82837 0.93669 13.1% 15.2 235s
21113 5013 0.93024 71 226 0.82837 0.93669 13.1% 15.2 240s
21118 5017 0.90459 70 229 0.82837 0.93669 13.1% 15.2 245s
21123 5020 0.89700 58 233 0.82837 0.93669 13.1% 15.2 250s
21127 5023 0.89844 52 229 0.82837 0.93669 13.1% 15.2 255s
21130 5027 0.93669 21 212 0.82837 0.93669 13.1% 16.4 262s
21132 5026 0.93647 22 191 0.82837 0.93669 13.1% 16.4 269s
21146 5024 infeasible 26 0.82837 0.93669 13.1% 16.5 270s
21232 5005 0.86927 33 203 0.82837 0.93669 13.1% 17.2 275s
21388 5004 0.84639 30 193 0.82837 0.93669 13.1% 18.0 280s
21769 5028 infeasible 59 0.82837 0.93669 13.1% 18.9 285s
22090 5036 0.89614 49 108 0.82837 0.93436 12.8% 19.3 290s
22432 5064 0.92715 42 154 0.82837 0.93015 12.3% 20.0 295s
22827 5105 infeasible 45 0.82837 0.92408 11.6% 20.4 301s
23229 5121 0.89442 51 133 0.82837 0.91889 10.9% 20.8 306s
23424 5122 infeasible 43 0.82837 0.91751 10.8% 21.3 310s
23666 5136 cutoff 46 0.82837 0.91426 10.4% 21.9 315s
24081 5136 0.89443 49 113 0.82837 0.90936 9.78% 22.3 320s
24367 5152 infeasible 52 0.82837 0.90778 9.59% 22.7 325s
24748 5115 infeasible 60 0.82837 0.90438 9.18% 23.3 331s
25388 5072 0.84639 57 105 0.82837 0.90121 8.79% 23.8 337s
25752 5013 cutoff 48 0.82837 0.89661 8.24% 24.3 341s
26199 4951 cutoff 51 0.82837 0.89444 7.98% 24.8 346s
26654 4867 infeasible 49 0.82837 0.89089 7.55% 25.3 352s
27140 4766 cutoff 47 0.82837 0.88879 7.29% 25.8 357s
27298 4681 0.85154 51 88 0.82837 0.88728 7.11% 26.0 360s
27632 4618 0.84441 56 102 0.82837 0.88368 6.68% 26.2 366s
28326 4429 0.84153 56 54 0.82837 0.87920 6.14% 26.7 373s
28701 4300 infeasible 50 0.82837 0.87729 5.91% 26.9 375s
29426 4059 infeasible 60 0.82837 0.87140 5.20% 27.1 383s
29700 3942 cutoff 39 0.82837 0.86922 4.93% 27.4 387s
30061 3788 cutoff 50 0.82837 0.86676 4.63% 27.6 390s
30549 3512 0.85283 48 89 0.82837 0.86211 4.07% 28.0 397s
30871 3361 infeasible 56 0.82837 0.86038 3.86% 28.1 400s
31338 3096 cutoff 62 0.82837 0.85605 3.34% 28.2 405s
32164 2689 infeasible 60 0.82837 0.85111 2.75% 28.2 412s
32801 2277 infeasible 59 0.82837 0.84688 2.24% 28.2 415s
33434 1874 infeasible 75 0.82837 0.84234 1.69% 28.3 420s
34061 1461 cutoff 53 0.82837 0.83851 1.22% 28.3 425s
Cutting planes:
Learned: 6
Gomory: 168
Cover: 15
Implied bound: 33
Projected implied bound: 43
Clique: 6
MIR: 180
StrongCG: 4
Flow cover: 574
Flow path: 2
Inf proof: 56
Explored 34549 nodes (987433 simplex iterations) in 426.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.828367 0.828367
Optimal solution found (tolerance 1.00e-02)
Best objective 8.283667609398e-01, best bound 8.361882039192e-01, gap 0.9442%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfcyk_zxl.pyomo.lp
Reading time = 0.02 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi9uvh0xp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.813082
Presolve removed 663 rows and 413 columns
Presolve time: 0.04s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.323232e+00, 1161 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32323 0 81 0.81308 1.32323 62.7% - 0s
0 0 1.27737 0 100 0.81308 1.27737 57.1% - 0s
0 0 1.27735 0 101 0.81308 1.27735 57.1% - 0s
0 0 1.24442 0 104 0.81308 1.24442 53.1% - 0s
0 0 1.24432 0 102 0.81308 1.24432 53.0% - 0s
0 0 1.24328 0 109 0.81308 1.24328 52.9% - 0s
0 0 1.23857 0 107 0.81308 1.23857 52.3% - 0s
0 0 1.23697 0 106 0.81308 1.23697 52.1% - 0s
0 0 1.23680 0 107 0.81308 1.23680 52.1% - 0s
0 0 1.23564 0 108 0.81308 1.23564 52.0% - 0s
0 0 1.23561 0 107 0.81308 1.23561 52.0% - 0s
0 0 1.23536 0 110 0.81308 1.23536 51.9% - 0s
0 0 1.23536 0 110 0.81308 1.23536 51.9% - 0s
0 0 1.23437 0 112 0.81308 1.23437 51.8% - 0s
0 0 1.23436 0 112 0.81308 1.23436 51.8% - 0s
0 0 1.23436 0 113 0.81308 1.23436 51.8% - 0s
0 0 1.23433 0 109 0.81308 1.23433 51.8% - 0s
0 0 1.23432 0 108 0.81308 1.23432 51.8% - 0s
0 0 1.23432 0 103 0.81308 1.23432 51.8% - 0s
0 2 1.23432 0 101 0.81308 1.23432 51.8% - 0s
751 505 1.10715 16 161 0.81308 1.13923 40.1% 11.5 5s
1644 587 0.99141 43 137 0.81308 1.09885 35.1% 20.7 10s
H 2267 623 0.8130817 1.08801 33.8% 19.9 12s
3326 993 0.98624 38 137 0.81308 1.03251 27.0% 19.0 15s
5366 1436 0.88778 46 111 0.81308 0.98812 21.5% 16.6 20s
8469 2335 infeasible 30 0.81308 0.95982 18.0% 14.8 25s
11387 2864 infeasible 58 0.81308 0.94565 16.3% 14.7 30s
14670 3570 infeasible 65 0.81308 0.93513 15.0% 14.3 35s
H14866 3587 0.8134254 0.93382 14.8% 14.4 36s
14895 3545 cutoff 59 0.81343 0.93370 14.8% 14.4 40s
16423 3762 0.83704 50 102 0.81343 0.92819 14.1% 14.7 45s
18601 3930 0.82873 41 94 0.81343 0.91872 12.9% 15.0 50s
20628 4276 0.91072 41 103 0.81343 0.91285 12.2% 15.0 70s
20642 4285 0.85799 71 192 0.81343 0.91285 12.2% 15.0 75s
20648 4289 0.87082 73 194 0.81343 0.91285 12.2% 15.0 80s
20654 4293 0.89955 60 211 0.81343 0.91285 12.2% 15.0 85s
20659 4297 0.91262 35 205 0.81343 0.91285 12.2% 15.0 90s
20665 4301 0.83389 70 214 0.81343 0.91285 12.2% 15.0 95s
20670 4304 0.89977 65 215 0.81343 0.91285 12.2% 15.0 100s
20676 4308 0.86682 29 228 0.81343 0.91285 12.2% 15.0 105s
20681 4311 0.83845 97 235 0.81343 0.91285 12.2% 15.0 110s
20686 4315 0.84580 70 234 0.81343 0.91285 12.2% 15.0 115s
20691 4318 0.88073 71 224 0.81343 0.91285 12.2% 14.9 120s
20696 4321 0.82126 87 232 0.81343 0.91285 12.2% 14.9 125s
20700 4324 0.86852 72 233 0.81343 0.91285 12.2% 14.9 130s
20705 4327 0.89144 62 244 0.81343 0.91285 12.2% 14.9 135s
20710 4331 0.87023 57 241 0.81343 0.91285 12.2% 14.9 140s
20714 4333 0.91262 59 236 0.81343 0.91285 12.2% 14.9 145s
20720 4337 0.87101 53 243 0.81343 0.91285 12.2% 14.9 150s
20725 4341 0.90575 43 240 0.81343 0.91285 12.2% 14.9 155s
20730 4344 0.83508 108 235 0.81343 0.91285 12.2% 14.9 161s
20734 4347 0.89175 70 233 0.81343 0.91285 12.2% 14.9 165s
20739 4350 0.84082 55 244 0.81343 0.91285 12.2% 14.9 170s
20744 4353 0.88463 56 241 0.81343 0.91285 12.2% 14.9 175s
20749 4357 0.90257 71 249 0.81343 0.91285 12.2% 14.9 180s
H20751 4138 0.8134931 0.91285 12.2% 14.9 185s
20757 4142 0.91132 36 243 0.81349 0.91285 12.2% 14.9 190s
20761 4145 0.84660 67 247 0.81349 0.91285 12.2% 14.9 195s
20766 4148 0.84830 79 247 0.81349 0.91285 12.2% 14.9 200s
20770 4151 0.89977 65 250 0.81349 0.91285 12.2% 14.9 205s
20775 4154 0.86875 42 243 0.81349 0.91285 12.2% 14.9 210s
20780 4157 0.89761 58 254 0.81349 0.91285 12.2% 14.9 215s
20786 4161 0.84580 70 252 0.81349 0.91285 12.2% 14.9 220s
20791 4165 0.88073 71 257 0.81349 0.91285 12.2% 14.9 225s
H20794 3955 0.8134931 0.91285 12.2% 14.9 229s
20796 3956 0.82126 87 257 0.81349 0.91285 12.2% 14.9 230s
20801 3959 0.86503 66 246 0.81349 0.91285 12.2% 14.9 236s
20806 3963 0.88963 73 255 0.81349 0.91285 12.2% 14.9 241s
20809 3965 0.89063 74 250 0.81349 0.91285 12.2% 14.9 245s
20813 3967 0.87383 57 258 0.81349 0.91285 12.2% 14.9 251s
20816 3969 0.81672 87 262 0.81349 0.91285 12.2% 14.9 255s
20820 3972 0.87101 53 274 0.81349 0.91285 12.2% 14.9 260s
20824 3975 0.88322 100 276 0.81349 0.91285 12.2% 14.9 265s
20827 3977 0.90366 62 272 0.81349 0.91285 12.2% 14.9 270s
20833 3981 0.84785 79 272 0.81349 0.91285 12.2% 14.8 275s
20838 3984 0.88491 74 279 0.81349 0.91285 12.2% 14.8 280s
20842 3987 0.85799 71 270 0.81349 0.91285 12.2% 14.8 285s
20843 3987 cutoff 28 0.81349 0.91285 12.2% 16.8 290s
20846 3986 0.91285 30 240 0.81349 0.91285 12.2% 16.8 297s
20847 3986 0.91285 31 226 0.81349 0.91285 12.2% 16.9 302s
20851 3987 0.91285 34 224 0.81349 0.91285 12.2% 16.9 305s
20909 3996 0.87704 42 179 0.81349 0.91285 12.2% 17.2 310s
21165 4019 0.88615 42 196 0.81349 0.91285 12.2% 18.2 315s
21455 4000 0.88948 48 170 0.81349 0.90671 11.5% 18.9 320s
21601 3998 0.83727 47 182 0.81349 0.90576 11.3% 19.5 325s
21789 3981 0.83446 48 127 0.81349 0.90362 11.1% 20.3 330s
22247 3930 0.82302 55 99 0.81349 0.89460 10.0% 21.7 335s
22454 3931 infeasible 60 0.81349 0.89271 9.74% 22.2 340s
22755 3889 infeasible 55 0.81349 0.88958 9.35% 23.1 345s
23392 3865 infeasible 54 0.81349 0.88485 8.77% 23.9 351s
23970 3799 0.81852 64 58 0.81349 0.87924 8.08% 24.5 355s
24516 3773 0.83287 63 65 0.81349 0.87394 7.43% 25.0 360s
25309 3665 0.84910 59 94 0.81349 0.87207 7.20% 25.5 366s
25869 3532 cutoff 50 0.81349 0.86398 6.21% 26.0 373s
26061 3463 cutoff 44 0.81349 0.86309 6.10% 26.1 376s
26828 3285 0.82462 64 49 0.81349 0.85851 5.53% 26.6 380s
27548 3069 cutoff 48 0.81349 0.85571 5.19% 27.1 385s
28246 2781 0.81909 46 126 0.81349 0.85031 4.53% 27.3 390s
29248 2320 infeasible 49 0.81349 0.84351 3.69% 27.7 396s
30391 1746 cutoff 59 0.81349 0.83557 2.71% 27.8 401s
31634 1120 cutoff 65 0.81349 0.82892 1.90% 27.6 406s
33017 569 0.81633 67 35 0.81349 0.82334 1.21% 27.2 410s
Cutting planes:
Gomory: 162
Cover: 15
Implied bound: 30
Projected implied bound: 38
Clique: 16
MIR: 199
StrongCG: 4
Flow cover: 591
Inf proof: 67
Explored 33537 nodes (908027 simplex iterations) in 411.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.813493 0.813493 0.813425 ... 0.813082
Optimal solution found (tolerance 1.00e-02)
Best objective 8.134931038475e-01, best bound 8.209446014452e-01, gap 0.9160%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7h4n6de_.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3agj6mf8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812346
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.310314e+00, 1155 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31031 0 82 0.81235 1.31031 61.3% - 0s
0 0 1.26556 0 106 0.81235 1.26556 55.8% - 0s
0 0 1.26554 0 105 0.81235 1.26554 55.8% - 0s
0 0 1.23726 0 102 0.81235 1.23726 52.3% - 0s
0 0 1.23726 0 102 0.81235 1.23726 52.3% - 0s
0 0 1.23629 0 109 0.81235 1.23629 52.2% - 0s
0 0 1.23168 0 109 0.81235 1.23168 51.6% - 0s
0 0 1.22984 0 111 0.81235 1.22984 51.4% - 0s
0 0 1.22983 0 108 0.81235 1.22983 51.4% - 0s
0 0 1.22962 0 107 0.81235 1.22962 51.4% - 0s
0 0 1.22962 0 109 0.81235 1.22962 51.4% - 0s
0 0 1.22962 0 109 0.81235 1.22962 51.4% - 0s
0 0 1.22962 0 103 0.81235 1.22962 51.4% - 0s
0 2 1.22962 0 103 0.81235 1.22962 51.4% - 0s
764 433 0.98636 34 148 0.81235 1.11970 37.8% 13.9 5s
1934 725 infeasible 33 0.81235 1.02989 26.8% 16.9 10s
* 3379 1300 158 0.8133774 1.00808 23.9% 15.8 13s
H 3913 1473 0.8135557 0.99434 22.2% 15.7 14s
H 3924 1475 0.8135557 0.99347 22.1% 15.7 14s
4008 1450 0.96241 49 112 0.81356 0.99267 22.0% 15.6 15s
H 7346 2487 0.8135557 0.96051 18.1% 13.0 19s
7411 2454 0.93722 53 90 0.81356 0.95969 18.0% 13.0 20s
10082 3026 0.87932 66 78 0.81356 0.94715 16.4% 12.7 25s
12843 3336 0.93208 66 78 0.81356 0.93276 14.7% 12.4 30s
14542 3564 0.84868 60 77 0.81356 0.92555 13.8% 12.6 35s
16982 3880 0.83191 79 100 0.81356 0.91434 12.4% 12.9 40s
18752 3905 cutoff 65 0.81356 0.90657 11.4% 13.4 45s
H20104 3992 0.8135557 0.89965 10.6% 13.7 48s
20367 3894 0.84859 53 73 0.81356 0.89904 10.5% 13.8 50s
22433 3702 infeasible 58 0.81356 0.88808 9.16% 14.3 55s
23874 3458 0.83315 63 96 0.81356 0.88012 8.18% 14.5 60s
25690 3172 infeasible 78 0.81356 0.86764 6.65% 14.7 65s
28049 2904 cutoff 85 0.81356 0.85814 5.48% 14.7 70s
30037 2507 infeasible 81 0.81356 0.85012 4.49% 14.8 75s
31710 2335 0.84567 73 63 0.81356 0.84567 3.95% 14.8 80s
34094 1780 infeasible 56 0.81356 0.83542 2.69% 14.8 85s
36103 1270 cutoff 71 0.81356 0.82864 1.85% 14.7 90s
Cutting planes:
Learned: 3
Gomory: 66
Cover: 5
Implied bound: 54
Projected implied bound: 50
Clique: 3
MIR: 20
Flow cover: 134
Flow path: 2
Inf proof: 409
Explored 38107 nodes (557783 simplex iterations) in 94.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.813556 0.813556 0.813556 ... 0.812346
Optimal solution found (tolerance 1.00e-02)
Best objective 8.135557065000e-01, best bound 8.212264444975e-01, gap 0.9429%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo2_vujus.pyomo.lp
Reading time = 0.02 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9euh9_ip.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.804981
Presolve removed 689 rows and 429 columns
Presolve time: 0.06s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.290973e+00, 1215 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29097 0 92 0.80498 1.29097 60.4% - 0s
0 0 1.24736 0 103 0.80498 1.24736 55.0% - 0s
0 0 1.24734 0 104 0.80498 1.24734 55.0% - 0s
0 0 1.22806 0 120 0.80498 1.22806 52.6% - 0s
0 0 1.22790 0 121 0.80498 1.22790 52.5% - 0s
0 0 1.22691 0 128 0.80498 1.22691 52.4% - 0s
0 0 1.22241 0 127 0.80498 1.22241 51.9% - 0s
0 0 1.22081 0 125 0.80498 1.22081 51.7% - 0s
0 0 1.22069 0 124 0.80498 1.22069 51.6% - 0s
0 0 1.21942 0 120 0.80498 1.21942 51.5% - 0s
0 0 1.21864 0 118 0.80498 1.21864 51.4% - 0s
0 0 1.21861 0 121 0.80498 1.21861 51.4% - 0s
0 0 1.21861 0 121 0.80498 1.21861 51.4% - 0s
0 0 1.21861 0 121 0.80498 1.21861 51.4% - 0s
0 0 1.21861 0 111 0.80498 1.21861 51.4% - 0s
0 2 1.21861 0 111 0.80498 1.21861 51.4% - 1s
762 444 1.11261 21 133 0.80498 1.11824 38.9% 13.4 5s
1196 511 1.06825 22 156 0.80498 1.08476 34.8% 24.0 10s
2243 752 infeasible 28 0.80498 1.05976 31.7% 24.7 16s
3277 1084 0.97164 28 134 0.80498 1.02793 27.7% 25.2 20s
5042 1384 cutoff 41 0.80498 0.97503 21.1% 23.8 25s
7511 2181 infeasible 45 0.80498 0.94835 17.8% 20.4 30s
9978 2520 infeasible 56 0.80498 0.93242 15.8% 18.8 35s
11946 2816 cutoff 50 0.80498 0.91909 14.2% 17.5 40s
H13360 3281 0.8049811 0.91490 13.7% 16.8 43s
13722 3275 0.88491 40 84 0.80498 0.91269 13.4% 16.7 45s
16006 3533 0.86402 56 74 0.80498 0.90194 12.0% 16.4 50s
17975 3765 infeasible 58 0.80498 0.89355 11.0% 16.0 55s
20177 3906 0.84544 61 81 0.80498 0.88506 9.95% 15.7 60s
20520 3976 0.84878 53 111 0.80498 0.88199 9.57% 15.7 80s
H20528 3781 0.8049811 0.88199 9.57% 15.7 84s
20533 3785 0.86406 69 208 0.80498 0.88199 9.57% 15.7 86s
20539 3789 0.83058 57 232 0.80498 0.88199 9.57% 15.7 90s
20543 3791 0.81842 74 236 0.80498 0.88199 9.57% 15.7 95s
20547 3794 0.82381 73 220 0.80498 0.88199 9.57% 15.6 100s
20553 3798 0.82003 74 239 0.80498 0.88199 9.57% 15.6 106s
20556 3800 0.84702 54 233 0.80498 0.88199 9.57% 15.6 110s
20561 3803 0.83288 60 231 0.80498 0.88199 9.57% 15.6 115s
20565 3806 0.84637 65 227 0.80498 0.88199 9.57% 15.6 120s
20569 3809 0.84746 74 236 0.80498 0.88199 9.57% 15.6 126s
20574 3812 0.81009 102 228 0.80498 0.88199 9.57% 15.6 131s
20579 3815 0.86812 61 238 0.80498 0.88199 9.57% 15.6 136s
20583 3818 0.82381 77 241 0.80498 0.88199 9.57% 15.6 141s
20586 3820 0.85937 60 280 0.80498 0.88199 9.57% 15.6 145s
20589 3822 0.85176 65 274 0.80498 0.88199 9.57% 15.6 150s
20593 3825 0.83439 41 273 0.80498 0.88199 9.57% 15.6 155s
Cutting planes:
Learned: 4
Gomory: 100
Cover: 6
Implied bound: 14
Projected implied bound: 19
Clique: 3
MIR: 73
StrongCG: 3
Flow cover: 235
Inf proof: 21
Explored 20594 nodes (376648 simplex iterations) in 175.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.804981 0.804981 0.804981
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (6.4321e-06) exceeds tolerance
Best objective 8.049810750727e-01, best bound 8.049810750727e-01, gap 0.0000%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmaaotej2.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7vccifmn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.266008e+00, 1331 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26601 0 86 - 1.26601 - - 0s
Another try with MIP start
H 0 0 0.7916027 1.26601 59.9% - 0s
0 0 1.22606 0 109 0.79160 1.22606 54.9% - 0s
0 0 1.22606 0 111 0.79160 1.22606 54.9% - 0s
0 0 1.16290 0 103 0.79160 1.16290 46.9% - 0s
0 0 1.16290 0 103 0.79160 1.16290 46.9% - 0s
0 0 1.16270 0 108 0.79160 1.16270 46.9% - 0s
0 0 1.16259 0 107 0.79160 1.16259 46.9% - 0s
0 0 1.16259 0 108 0.79160 1.16259 46.9% - 0s
0 0 1.16259 0 103 0.79160 1.16259 46.9% - 0s
0 2 1.16259 0 103 0.79160 1.16259 46.9% - 0s
755 549 1.04879 52 166 0.79160 1.10276 39.3% 13.8 5s
973 577 1.03034 25 155 0.79160 1.09559 38.4% 25.5 10s
2263 568 1.00775 32 157 0.79160 1.05018 32.7% 24.4 15s
4128 712 0.98218 46 104 0.79160 0.99569 25.8% 20.9 20s
4747 745 0.98525 45 112 0.79160 0.98525 24.5% 20.6 25s
7738 1676 infeasible 60 0.79160 0.96243 21.6% 17.7 30s
10684 2245 0.79325 78 39 0.79160 0.92359 16.7% 16.2 35s
12809 2666 infeasible 44 0.79160 0.90748 14.6% 15.8 42s
13667 2745 infeasible 86 0.79160 0.90031 13.7% 15.7 45s
15919 3006 0.87999 64 82 0.79160 0.88509 11.8% 15.5 50s
17845 3221 0.84514 82 49 0.79160 0.87589 10.6% 15.4 55s
19836 3333 infeasible 75 0.79160 0.86588 9.38% 15.4 60s
21627 3261 0.82376 59 79 0.79160 0.85765 8.34% 15.4 65s
23304 3116 cutoff 70 0.79160 0.84898 7.25% 15.5 70s
24809 2948 0.82404 77 67 0.79160 0.84345 6.55% 15.7 75s
26578 2676 cutoff 80 0.79160 0.83548 5.54% 15.8 80s
28417 2279 0.81682 71 73 0.79160 0.82742 4.53% 15.8 85s
30254 1822 0.81013 49 99 0.79160 0.82060 3.66% 15.8 90s
32426 1336 infeasible 81 0.79160 0.81354 2.77% 15.7 95s
34534 576 cutoff 74 0.79160 0.80460 1.64% 15.6 100s
Cutting planes:
Learned: 1
Gomory: 71
Cover: 1
Implied bound: 47
Projected implied bound: 49
Clique: 1
MIR: 29
Flow cover: 175
Flow path: 6
Inf proof: 308
Explored 35448 nodes (552126 simplex iterations) in 101.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.791603
Optimal solution found (tolerance 1.00e-02)
Best objective 7.916027184644e-01, best bound 7.992044199132e-01, gap 0.9603%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe16t394u.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzrlnwfzi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.779611
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.246773e+00, 1469 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24677 0 89 0.77961 1.24677 59.9% - 0s
0 0 1.20407 0 117 0.77961 1.20407 54.4% - 0s
0 0 1.20405 0 116 0.77961 1.20405 54.4% - 0s
0 0 1.18304 0 115 0.77961 1.18304 51.7% - 0s
0 0 1.18304 0 115 0.77961 1.18304 51.7% - 0s
0 0 1.18303 0 111 0.77961 1.18303 51.7% - 0s
0 0 1.18303 0 112 0.77961 1.18303 51.7% - 0s
0 0 1.18260 0 114 0.77961 1.18260 51.7% - 0s
0 0 1.18259 0 115 0.77961 1.18259 51.7% - 0s
0 0 1.18223 0 120 0.77961 1.18223 51.6% - 0s
0 0 1.18223 0 120 0.77961 1.18223 51.6% - 0s
0 0 1.18222 0 124 0.77961 1.18222 51.6% - 0s
0 0 1.18222 0 124 0.77961 1.18222 51.6% - 0s
0 0 1.18222 0 117 0.77961 1.18222 51.6% - 0s
0 2 1.18222 0 117 0.77961 1.18222 51.6% - 0s
763 451 0.95337 18 161 0.77961 1.07286 37.6% 14.0 5s
1104 542 0.94469 36 140 0.77961 1.05747 35.6% 23.2 10s
2259 703 infeasible 30 0.77961 1.00486 28.9% 24.4 15s
3339 929 0.89009 32 117 0.77961 0.96421 23.7% 25.1 20s
4637 1165 0.89481 52 91 0.77961 0.93151 19.5% 22.7 25s
6929 1617 infeasible 51 0.77961 0.90653 16.3% 19.8 30s
9999 2354 infeasible 74 0.77961 0.89144 14.3% 17.0 35s
11843 2574 infeasible 73 0.77961 0.88170 13.1% 16.5 40s
H13093 2837 0.7796111 0.87456 12.2% 16.1 43s
13121 2829 0.84364 71 54 0.77961 0.87444 12.2% 16.1 45s
14875 3077 cutoff 62 0.77961 0.86839 11.4% 15.8 50s
17366 3582 infeasible 64 0.77961 0.85951 10.2% 15.3 55s
19268 3997 0.78810 68 48 0.77961 0.85540 9.72% 15.2 60s
20548 4182 0.83234 66 117 0.77961 0.85245 9.34% 15.3 81s
20558 4189 0.81990 62 168 0.77961 0.85245 9.34% 15.3 85s
20564 4193 0.82341 59 186 0.77961 0.85245 9.34% 15.3 91s
20571 4197 0.80268 74 197 0.77961 0.85245 9.34% 15.3 95s
20576 4201 0.79062 81 208 0.77961 0.85245 9.34% 15.3 100s
20582 4205 0.80014 73 223 0.77961 0.85245 9.34% 15.3 105s
20587 4208 0.84721 72 222 0.77961 0.85245 9.34% 15.3 110s
20592 4211 0.81363 78 220 0.77961 0.85245 9.34% 15.3 115s
H20592 3999 0.7796111 0.85245 9.34% 15.3 116s
20598 4003 0.81221 69 225 0.77961 0.85245 9.34% 15.3 120s
20604 4007 0.84565 62 224 0.77961 0.85245 9.34% 15.3 125s
20609 4011 0.78955 115 230 0.77961 0.85245 9.34% 15.3 130s
20614 4014 0.80383 71 221 0.77961 0.85245 9.34% 15.3 135s
20619 4017 0.84042 62 242 0.77961 0.85245 9.34% 15.3 140s
20625 4021 0.82388 68 229 0.77961 0.85245 9.34% 15.3 145s
20631 4025 0.81235 81 242 0.77961 0.85245 9.34% 15.3 150s
20637 4029 0.84200 68 251 0.77961 0.85245 9.34% 15.2 155s
20642 4033 0.80877 48 228 0.77961 0.85245 9.34% 15.2 160s
20648 4037 0.83234 66 238 0.77961 0.85245 9.34% 15.2 165s
20653 4040 0.84851 63 248 0.77961 0.85245 9.34% 15.2 170s
20658 4043 0.81990 62 235 0.77961 0.85245 9.34% 15.2 175s
20665 4048 0.79626 83 234 0.77961 0.85245 9.34% 15.2 180s
20668 4050 0.83067 56 235 0.77961 0.85245 9.34% 15.2 186s
20671 4052 0.80268 74 245 0.77961 0.85245 9.34% 15.2 190s
20674 4054 0.79011 85 249 0.77961 0.85245 9.34% 15.2 197s
20677 4056 0.81367 80 253 0.77961 0.85245 9.34% 15.2 200s
20681 4059 0.83670 58 250 0.77961 0.85245 9.34% 15.2 205s
20685 4061 0.78388 83 254 0.77961 0.85245 9.34% 15.2 210s
20691 4065 0.80912 63 246 0.77961 0.85245 9.34% 15.2 215s
20697 4069 0.79307 92 250 0.77961 0.85245 9.34% 15.2 220s
20702 4073 0.81537 61 250 0.77961 0.85245 9.34% 15.2 225s
20708 4077 0.85172 70 250 0.77961 0.85245 9.34% 15.2 230s
20714 4081 0.80383 71 246 0.77961 0.85245 9.34% 15.2 235s
20720 4085 0.78853 87 256 0.77961 0.85245 9.34% 15.2 240s
20726 4089 0.78851 86 240 0.77961 0.85245 9.34% 15.2 246s
20730 4091 0.81953 57 237 0.77961 0.85245 9.34% 15.2 250s
20736 4095 0.79948 63 256 0.77961 0.85245 9.34% 15.2 256s
20739 4097 0.80010 83 259 0.77961 0.85245 9.34% 15.2 260s
20741 4099 0.81264 72 261 0.77961 0.85245 9.34% 15.2 265s
20744 4101 0.82971 42 247 0.77961 0.85245 9.34% 15.2 272s
20746 4102 0.80762 81 252 0.77961 0.85245 9.34% 15.2 275s
20749 4104 0.84407 75 263 0.77961 0.85245 9.34% 15.2 281s
20752 4106 0.82305 43 265 0.77961 0.85245 9.34% 15.2 285s
20756 4109 0.82522 62 267 0.77961 0.85245 9.34% 15.2 290s
20759 4111 0.78351 95 266 0.77961 0.85245 9.34% 15.2 295s
20762 4113 0.81410 75 261 0.77961 0.85245 9.34% 15.2 300s
20764 4115 0.85221 28 216 0.77961 0.85245 9.34% 17.4 306s
20768 4114 infeasible 30 0.77961 0.85245 9.34% 17.5 314s
20771 4114 0.85245 31 233 0.77961 0.85245 9.34% 17.5 316s
20832 4114 0.82264 41 172 0.77961 0.85245 9.34% 17.8 320s
21056 4107 0.81716 46 201 0.77961 0.85245 9.34% 18.3 325s
21389 4119 0.84691 43 169 0.77961 0.85245 9.34% 19.0 330s
21959 4163 infeasible 49 0.77961 0.85245 9.34% 19.9 336s
22351 4138 infeasible 46 0.77961 0.85245 9.34% 20.5 340s
22948 4118 infeasible 47 0.77961 0.85245 9.34% 21.2 345s
23584 4110 0.83444 60 130 0.77961 0.85245 9.34% 21.8 350s
24450 3986 0.79104 54 128 0.77961 0.85245 9.34% 22.5 356s
25155 3896 infeasible 51 0.77961 0.84873 8.87% 22.9 360s
25966 3787 infeasible 47 0.77961 0.84283 8.11% 23.4 366s
26498 3627 0.79591 47 139 0.77961 0.83909 7.63% 23.7 371s
27256 3449 0.82722 55 127 0.77961 0.83516 7.12% 23.9 375s
28075 3233 0.80856 57 127 0.77961 0.83126 6.63% 24.1 380s
28950 2983 infeasible 53 0.77961 0.82792 6.20% 24.2 385s
30325 2508 0.79326 58 66 0.77961 0.82084 5.29% 24.4 392s
31144 2177 0.81446 52 151 0.77961 0.81725 4.83% 24.6 396s
32177 1681 cutoff 55 0.77961 0.81044 3.95% 24.7 401s
33103 1197 0.80514 58 80 0.77961 0.80625 3.42% 24.8 405s
33439 1144 cutoff 60 0.77961 0.80420 3.15% 24.8 410s
34614 910 infeasible 66 0.77961 0.79969 2.58% 24.7 415s
36264 412 infeasible 62 0.77961 0.79016 1.35% 24.4 420s
Cutting planes:
Learned: 2
Gomory: 83
Cover: 4
Implied bound: 15
Projected implied bound: 17
Clique: 4
MIR: 50
StrongCG: 1
Flow cover: 187
Inf proof: 21
Explored 36637 nodes (893784 simplex iterations) in 420.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.779611 0.779611 0.779611
Optimal solution found (tolerance 1.00e-02)
Best objective 7.796110557533e-01, best bound 7.865704577509e-01, gap 0.8927%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9wbo5mu9.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0ghg_4yu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.766926
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.258571e+00, 1297 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25857 0 97 0.76693 1.25857 64.1% - 0s
0 0 1.20173 0 120 0.76693 1.20173 56.7% - 0s
0 0 1.20171 0 122 0.76693 1.20171 56.7% - 0s
0 0 1.18468 0 117 0.76693 1.18468 54.5% - 0s
0 0 1.18462 0 117 0.76693 1.18462 54.5% - 0s
0 0 1.18448 0 119 0.76693 1.18448 54.4% - 0s
0 0 1.18448 0 119 0.76693 1.18448 54.4% - 0s
0 0 1.18446 0 118 0.76693 1.18446 54.4% - 0s
0 0 1.18446 0 118 0.76693 1.18446 54.4% - 0s
0 0 1.18446 0 108 0.76693 1.18446 54.4% - 0s
0 2 1.18446 0 108 0.76693 1.18446 54.4% - 0s
752 504 0.98952 48 150 0.76693 1.09390 42.6% 12.0 5s
1438 595 1.03141 20 154 0.76693 1.05656 37.8% 21.0 10s
H 1746 631 0.7673540 1.04401 36.1% 20.7 11s
3231 752 0.88413 62 90 0.76735 0.97547 27.1% 18.0 16s
5502 1221 0.84017 48 127 0.76735 0.92348 20.3% 14.4 20s
8534 2202 0.78707 61 100 0.76735 0.90037 17.3% 13.1 25s
11259 2840 0.87951 47 108 0.76735 0.88485 15.3% 12.8 30s
14159 3732 0.82747 58 58 0.76735 0.87211 13.7% 12.4 35s
H14705 3937 0.7673540 0.87095 13.5% 12.3 36s
15964 4031 0.78917 70 80 0.76735 0.86397 12.6% 12.6 40s
18098 4493 0.81645 57 78 0.76735 0.85634 11.6% 12.7 45s
20354 4945 infeasible 67 0.76735 0.84907 10.6% 12.9 50s
21049 5225 0.79841 72 108 0.76735 0.84813 10.5% 12.7 68s
21057 5230 0.82983 62 209 0.76735 0.84813 10.5% 12.7 70s
21064 5235 0.79819 73 236 0.76735 0.84813 10.5% 12.7 75s
H21064 4973 0.7673540 0.84813 10.5% 12.7 78s
21067 4975 0.81161 70 233 0.76735 0.84813 10.5% 12.7 80s
21074 4980 0.78656 85 245 0.76735 0.84813 10.5% 12.7 86s
21077 4982 0.84127 60 245 0.76735 0.84813 10.5% 12.7 90s
21081 4984 0.83247 66 248 0.76735 0.84813 10.5% 12.7 96s
21086 4988 0.84355 54 264 0.76735 0.84813 10.5% 12.7 102s
21088 4989 0.82051 49 266 0.76735 0.84813 10.5% 12.7 105s
21092 4992 0.80716 81 256 0.76735 0.84813 10.5% 12.7 111s
21096 4994 0.78772 79 269 0.76735 0.84813 10.5% 12.7 117s
21100 4997 0.79738 73 269 0.76735 0.84813 10.5% 12.7 120s
21104 5000 0.80792 60 269 0.76735 0.84813 10.5% 12.7 125s
21107 5002 0.81315 69 268 0.76735 0.84813 10.5% 12.7 131s
21110 5004 0.79497 74 273 0.76735 0.84813 10.5% 12.7 135s
21113 5006 0.79495 71 267 0.76735 0.84813 10.5% 12.7 140s
21116 5008 0.81473 51 269 0.76735 0.84813 10.5% 12.7 145s
21119 5010 0.78172 45 255 0.76735 0.84813 10.5% 12.7 150s
21123 5012 0.80346 45 258 0.76735 0.84813 10.5% 12.7 155s
21126 5014 0.79720 59 248 0.76735 0.84813 10.5% 12.7 161s
21129 5016 0.78839 70 268 0.76735 0.84813 10.5% 12.7 165s
21133 5019 0.82725 64 261 0.76735 0.84813 10.5% 12.7 171s
21136 5021 0.77319 95 273 0.76735 0.84813 10.5% 12.7 175s
21139 5023 0.78205 71 279 0.76735 0.84813 10.5% 12.7 182s
21141 5024 0.79030 60 285 0.76735 0.84813 10.5% 12.7 186s
21144 5026 0.82268 62 293 0.76735 0.84813 10.5% 12.7 191s
21146 5028 0.78690 69 289 0.76735 0.84813 10.5% 12.7 195s
21149 5030 0.79841 72 273 0.76735 0.84813 10.5% 12.7 202s
21152 5032 0.80386 45 274 0.76735 0.84813 10.5% 12.7 207s
21155 5034 0.84500 56 287 0.76735 0.84813 10.5% 12.7 211s
21158 5036 0.80065 74 284 0.76735 0.84813 10.5% 12.7 216s
21161 5038 0.84125 58 283 0.76735 0.84813 10.5% 12.7 220s
21164 5040 0.79819 73 271 0.76735 0.84813 10.5% 12.7 226s
21167 5042 0.81161 70 287 0.76735 0.84813 10.5% 12.7 230s
21171 5044 0.82809 57 289 0.76735 0.84813 10.5% 12.7 235s
21173 5046 0.80221 60 295 0.76735 0.84813 10.5% 12.7 240s
21176 5048 0.81132 60 292 0.76735 0.84813 10.5% 12.6 246s
21178 5049 0.80331 41 286 0.76735 0.84813 10.5% 12.6 250s
21181 5051 0.83247 66 297 0.76735 0.84813 10.5% 12.6 255s
21184 5053 0.82272 66 299 0.76735 0.84813 10.5% 12.6 261s
21186 5054 0.84355 54 289 0.76735 0.84813 10.5% 12.6 267s
21188 5056 0.82051 49 293 0.76735 0.84813 10.5% 12.6 273s
21190 5057 0.80234 71 296 0.76735 0.84813 10.5% 12.6 278s
21191 5058 0.80794 56 293 0.76735 0.84813 10.5% 12.6 280s
21194 5060 0.77867 110 291 0.76735 0.84813 10.5% 12.6 286s
21198 5062 0.82693 67 301 0.76735 0.84813 10.5% 12.6 291s
21201 5064 0.80049 57 302 0.76735 0.84813 10.5% 12.6 295s
21206 5068 0.82712 57 287 0.76735 0.84813 10.5% 12.6 301s
21210 5070 0.79497 74 285 0.76735 0.84813 10.5% 12.6 306s
21213 5072 0.79495 71 295 0.76735 0.84813 10.5% 12.6 310s
21216 5074 0.81473 51 292 0.76735 0.84813 10.5% 12.6 315s
21219 5076 0.78172 45 289 0.76735 0.84813 10.5% 12.6 320s
21223 5079 0.80346 45 306 0.76735 0.84813 10.5% 12.6 326s
21226 5081 0.79720 59 296 0.76735 0.84813 10.5% 12.6 331s
21228 5082 0.82853 56 295 0.76735 0.84813 10.5% 12.6 336s
21232 5085 0.78351 56 287 0.76735 0.84813 10.5% 12.6 340s
21235 5087 0.78730 68 298 0.76735 0.84813 10.5% 12.6 345s
21238 5089 0.84179 55 288 0.76735 0.84813 10.5% 12.6 350s
21242 5092 0.80151 75 295 0.76735 0.84813 10.5% 12.6 355s
21245 5094 0.80274 73 300 0.76735 0.84813 10.5% 12.6 360s
21249 5096 0.79841 72 304 0.76735 0.84813 10.5% 12.6 366s
21252 5098 0.80386 45 297 0.76735 0.84813 10.5% 12.6 373s
21254 5100 0.78094 66 296 0.76735 0.84813 10.5% 12.6 376s
21258 5102 0.80065 74 300 0.76735 0.84813 10.5% 12.6 380s
21262 5105 0.83064 58 301 0.76735 0.84813 10.5% 12.6 387s
21264 5106 0.79819 73 305 0.76735 0.84813 10.5% 12.6 392s
21266 5108 0.78624 69 293 0.76735 0.84813 10.5% 12.6 397s
21268 5109 cutoff 23 0.76735 0.84813 10.5% 16.0 408s
21270 5108 0.84813 24 297 0.76735 0.84813 10.5% 16.1 419s
21271 5109 0.84813 25 288 0.76735 0.84813 10.5% 16.1 425s
21282 5107 0.84813 30 271 0.76735 0.84813 10.5% 16.4 430s
21306 5112 0.84813 36 226 0.76735 0.84813 10.5% 16.7 435s
21381 5108 0.84813 35 253 0.76735 0.84813 10.5% 17.4 440s
21424 5103 0.80495 41 229 0.76735 0.84813 10.5% 18.0 445s
21516 5080 0.79960 38 226 0.76735 0.84813 10.5% 18.9 450s
21630 5088 cutoff 48 0.76735 0.84813 10.5% 19.9 455s
21749 5119 0.84813 39 247 0.76735 0.84813 10.5% 20.5 460s
21807 5119 0.84063 42 238 0.76735 0.84813 10.5% 20.9 466s
21835 5121 0.84669 46 231 0.76735 0.84813 10.5% 21.1 472s
21928 5121 infeasible 54 0.76735 0.84813 10.5% 21.9 477s
22017 5110 0.82782 54 220 0.76735 0.84813 10.5% 22.2 480s
22226 5145 infeasible 67 0.76735 0.84813 10.5% 23.1 485s
22432 5146 infeasible 51 0.76735 0.84813 10.5% 24.0 492s
22584 5125 infeasible 57 0.76735 0.84813 10.5% 24.9 496s
22762 5119 0.77846 40 220 0.76735 0.84813 10.5% 25.6 500s
23035 5127 infeasible 56 0.76735 0.84813 10.5% 26.8 507s
23323 5139 0.83018 59 189 0.76735 0.84813 10.5% 27.6 512s
23625 5161 0.81722 67 144 0.76735 0.84813 10.5% 28.5 517s
23742 5173 infeasible 50 0.76735 0.84813 10.5% 28.9 520s
23943 5173 0.83109 58 157 0.76735 0.84813 10.5% 29.8 526s
24206 5198 0.79128 58 176 0.76735 0.84813 10.5% 30.2 530s
24380 5162 0.80851 55 168 0.76735 0.84813 10.5% 30.8 538s
24604 5155 0.82635 44 216 0.76735 0.84813 10.5% 31.3 541s
24838 5125 0.83682 76 133 0.76735 0.84813 10.5% 31.8 545s
H25163 4906 0.7673540 0.84621 10.3% 32.2 549s
H25180 4656 0.7673540 0.84620 10.3% 32.2 549s
25284 4643 infeasible 59 0.76735 0.84551 10.2% 32.3 553s
25605 4660 0.82451 60 168 0.76735 0.84400 10.0% 32.7 557s
25939 4639 0.82288 69 135 0.76735 0.84293 9.85% 33.1 561s
26242 4634 cutoff 65 0.76735 0.84156 9.67% 33.4 565s
27047 4589 0.81026 55 178 0.76735 0.83813 9.22% 34.2 573s
27560 4550 infeasible 65 0.76735 0.83686 9.06% 34.5 578s
27993 4499 0.80033 68 127 0.76735 0.83452 8.75% 34.9 583s
28301 4478 infeasible 55 0.76735 0.83212 8.44% 35.7 590s
28473 4432 0.80940 62 135 0.76735 0.83171 8.39% 35.8 595s
28953 4377 cutoff 63 0.76735 0.82977 8.13% 36.3 600s
Cutting planes:
Learned: 6
Gomory: 199
Cover: 21
Implied bound: 42
Projected implied bound: 63
Clique: 7
MIR: 309
StrongCG: 8
Flow cover: 873
Flow path: 4
Inf proof: 74
Zero half: 1
Explored 29432 nodes (1082499 simplex iterations) in 600.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.767354 0.767354 0.767354 ... 0.766926
Time limit reached
Best objective 7.673539869689e-01, best bound 8.275755255350e-01, gap 7.8479%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp54cvbr9y.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwdg4sr2x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.759441
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.240309e+00, 1379 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24031 0 92 0.75944 1.24031 63.3% - 0s
0 0 1.19880 0 111 0.75944 1.19880 57.9% - 0s
0 0 1.19878 0 110 0.75944 1.19878 57.9% - 0s
0 0 1.17027 0 115 0.75944 1.17027 54.1% - 0s
0 0 1.17014 0 115 0.75944 1.17014 54.1% - 0s
0 0 1.16971 0 117 0.75944 1.16971 54.0% - 0s
0 0 1.16555 0 119 0.75944 1.16555 53.5% - 0s
0 0 1.16417 0 119 0.75944 1.16417 53.3% - 0s
0 0 1.16402 0 118 0.75944 1.16402 53.3% - 0s
0 0 1.16354 0 123 0.75944 1.16354 53.2% - 0s
0 0 1.16351 0 118 0.75944 1.16351 53.2% - 0s
0 0 1.16304 0 122 0.75944 1.16304 53.1% - 0s
0 0 1.16273 0 126 0.75944 1.16273 53.1% - 0s
0 0 1.16191 0 126 0.75944 1.16191 53.0% - 0s
0 0 1.16156 0 126 0.75944 1.16156 52.9% - 0s
0 0 1.16156 0 126 0.75944 1.16156 52.9% - 0s
0 0 1.16156 0 126 0.75944 1.16156 52.9% - 0s
0 0 1.16156 0 126 0.75944 1.16156 52.9% - 0s
0 0 1.16156 0 119 0.75944 1.16156 52.9% - 0s
0 2 1.16156 0 118 0.75944 1.16156 52.9% - 0s
763 569 1.04693 14 179 0.75944 1.07246 41.2% 11.4 5s
1188 658 1.02441 21 170 0.75944 1.03359 36.1% 21.6 10s
2245 776 0.89655 31 143 0.75944 1.00415 32.2% 22.5 15s
3690 1090 0.88800 32 116 0.75944 0.95299 25.5% 21.6 20s
6316 1918 0.86854 64 93 0.75944 0.92487 21.8% 18.3 25s
9849 3009 0.82566 84 76 0.75944 0.90902 19.7% 15.6 30s
12969 3692 0.83576 51 79 0.75944 0.89652 18.1% 14.6 36s
14713 3911 0.88290 55 135 0.75944 0.88994 17.2% 14.5 40s
17599 4623 infeasible 70 0.75944 0.88296 16.3% 14.4 45s
20262 5093 infeasible 52 0.75944 0.87647 15.4% 14.3 50s
21065 5261 0.83884 72 119 0.75944 0.87480 15.2% 14.3 73s
21074 5267 0.85133 59 230 0.75944 0.87480 15.2% 14.3 76s
21077 5269 0.81520 55 240 0.75944 0.87480 15.2% 14.3 80s
21081 5272 0.82897 56 242 0.75944 0.87480 15.2% 14.3 85s
21085 5274 0.76566 90 249 0.75944 0.87480 15.2% 14.3 90s
21089 5277 0.83125 51 265 0.75944 0.87480 15.2% 14.3 95s
21095 5281 0.86078 53 272 0.75944 0.87480 15.2% 14.3 101s
21098 5283 0.85314 69 273 0.75944 0.87480 15.2% 14.3 105s
21102 5286 0.77344 83 296 0.75944 0.87480 15.2% 14.3 110s
21107 5289 0.83201 69 287 0.75944 0.87480 15.2% 14.3 115s
21110 5291 0.78242 89 254 0.75944 0.87480 15.2% 14.2 120s
21115 5294 0.81437 79 261 0.75944 0.87480 15.2% 14.2 125s
21119 5297 0.79277 48 247 0.75944 0.87480 15.2% 14.2 130s
21124 5300 0.85092 58 252 0.75944 0.87480 15.2% 14.2 136s
21128 5303 0.79605 95 263 0.75944 0.87480 15.2% 14.2 141s
21131 5305 0.83850 41 277 0.75944 0.87480 15.2% 14.2 145s
21134 5307 0.81078 71 273 0.75944 0.87480 15.2% 14.2 150s
21138 5310 0.86651 67 268 0.75944 0.87480 15.2% 14.2 155s
21142 5312 0.81295 60 268 0.75944 0.87480 15.2% 14.2 161s
21146 5315 0.83269 60 278 0.75944 0.87480 15.2% 14.2 166s
21149 5317 0.84841 55 282 0.75944 0.87480 15.2% 14.2 170s
21152 5319 0.84895 70 289 0.75944 0.87480 15.2% 14.2 175s
21157 5322 0.86131 82 275 0.75944 0.87480 15.2% 14.2 180s
21161 5325 0.84250 40 270 0.75944 0.87480 15.2% 14.2 185s
21165 5328 0.83884 72 271 0.75944 0.87480 15.2% 14.2 191s
21168 5330 0.77879 95 289 0.75944 0.87480 15.2% 14.2 196s
21171 5332 0.81709 81 283 0.75944 0.87480 15.2% 14.2 201s
21173 5333 0.85002 67 274 0.75944 0.87480 15.2% 14.2 205s
21177 5336 0.81520 55 298 0.75944 0.87480 15.2% 14.2 210s
21181 5338 0.82897 56 287 0.75944 0.87480 15.2% 14.2 216s
21183 5340 0.85219 52 287 0.75944 0.87480 15.2% 14.2 220s
H21184 5071 0.7594407 0.87480 15.2% 14.2 226s
21188 5074 0.78466 58 301 0.75944 0.87480 15.2% 14.2 230s
21190 5075 0.82404 64 301 0.75944 0.87480 15.2% 14.2 235s
21194 5078 0.86107 69 311 0.75944 0.87480 15.2% 14.2 240s
21198 5081 0.85314 69 326 0.75944 0.87480 15.2% 14.2 245s
21201 5083 0.81827 54 288 0.75944 0.87480 15.2% 14.2 251s
21203 5084 0.79871 77 299 0.75944 0.87480 15.2% 14.2 255s
H21204 4828 0.7594407 0.87480 15.2% 14.2 259s
21206 4829 0.86143 59 296 0.75944 0.87480 15.2% 14.2 260s
21209 4831 0.85960 48 300 0.75944 0.87480 15.2% 14.2 266s
21211 4832 0.84233 73 306 0.75944 0.87480 15.2% 14.2 270s
21215 4835 0.81437 79 308 0.75944 0.87480 15.2% 14.2 275s
21219 4838 0.79277 48 296 0.75944 0.87480 15.2% 14.2 280s
21223 4840 0.78686 75 288 0.75944 0.87480 15.2% 14.2 286s
21226 4842 0.86193 68 305 0.75944 0.87480 15.2% 14.2 292s
21228 4844 0.79605 95 299 0.75944 0.87480 15.2% 14.2 295s
21232 4846 0.78712 71 310 0.75944 0.87480 15.2% 14.2 302s
21236 4849 0.87020 64 296 0.75944 0.87480 15.2% 14.2 307s
21238 4850 0.86651 67 307 0.75944 0.87480 15.2% 14.2 310s
21242 4853 0.81295 60 303 0.75944 0.87480 15.2% 14.2 317s
21244 4854 0.81620 79 295 0.75944 0.87480 15.2% 14.2 320s
21249 4858 0.84841 55 300 0.75944 0.87480 15.2% 14.2 325s
21253 4860 0.83614 52 318 0.75944 0.87480 15.2% 14.2 330s
21256 4862 0.82986 67 314 0.75944 0.87480 15.2% 14.2 336s
21259 4864 0.83304 56 312 0.75944 0.87480 15.2% 14.1 340s
21262 4866 0.82846 76 306 0.75944 0.87480 15.2% 14.1 346s
21266 4869 0.79892 74 312 0.75944 0.87480 15.2% 14.1 350s
21270 4872 0.83501 67 308 0.75944 0.87480 15.2% 14.1 355s
21274 4874 0.85133 59 307 0.75944 0.87480 15.2% 14.1 361s
21278 4877 0.83138 69 308 0.75944 0.87480 15.2% 14.1 367s
21279 4878 0.86866 38 308 0.75944 0.87480 15.2% 14.1 371s
21280 4880 0.87480 26 274 0.75944 0.87480 15.2% 17.4 382s
21282 4881 0.87480 27 254 0.75944 0.87480 15.2% 17.4 406s
21313 4886 0.82452 33 246 0.75944 0.87480 15.2% 17.7 410s
21401 4890 infeasible 43 0.75944 0.87480 15.2% 18.5 415s
21466 4889 0.85368 42 236 0.75944 0.87480 15.2% 19.1 420s
21570 4902 0.87480 34 288 0.75944 0.87480 15.2% 19.9 425s
21664 4893 0.87480 33 276 0.75944 0.87480 15.2% 21.0 431s
21681 4888 cutoff 34 0.75944 0.87480 15.2% 21.7 435s
21773 4888 0.84287 51 241 0.75944 0.87480 15.2% 22.5 440s
21894 4906 cutoff 59 0.75944 0.87480 15.2% 23.1 445s
21957 4901 0.86838 42 255 0.75944 0.87480 15.2% 24.4 451s
22117 4894 0.84701 55 200 0.75944 0.87480 15.2% 25.1 457s
22237 4888 0.79931 43 223 0.75944 0.87480 15.2% 25.8 460s
22465 4881 0.84609 44 234 0.75944 0.87480 15.2% 26.7 465s
22668 4861 0.79140 48 211 0.75944 0.87480 15.2% 27.2 472s
22869 4874 infeasible 48 0.75944 0.87480 15.2% 28.1 477s
22987 4877 0.81918 77 152 0.75944 0.87418 15.1% 28.4 481s
23337 4913 0.76001 138 10 0.75944 0.86198 13.5% 28.9 486s
23558 4919 0.80247 78 153 0.75944 0.85918 13.1% 29.5 490s
23819 4946 infeasible 63 0.75944 0.85682 12.8% 30.2 497s
23963 4953 0.82093 70 155 0.75944 0.85682 12.8% 30.8 500s
24424 5041 infeasible 73 0.75944 0.85493 12.6% 31.2 506s
24672 5061 0.77300 95 73 0.75944 0.85311 12.3% 31.4 510s
25190 5122 0.82555 64 169 0.75944 0.85147 12.1% 31.7 517s
25365 5124 0.79266 76 130 0.75944 0.85147 12.1% 32.2 521s
26025 5181 0.77427 79 114 0.75944 0.84895 11.8% 32.7 529s
26347 5218 0.83099 63 169 0.75944 0.84857 11.7% 33.0 532s
26724 5272 0.84588 59 166 0.75944 0.84775 11.6% 33.1 537s
27104 5309 infeasible 60 0.75944 0.84669 11.5% 33.3 540s
27370 5301 0.84283 59 175 0.75944 0.84626 11.4% 33.5 545s
27700 5306 0.79899 70 139 0.75944 0.84490 11.3% 33.9 550s
28323 5278 0.78964 74 131 0.75944 0.84366 11.1% 34.6 559s
28663 5240 0.82839 68 163 0.75944 0.84294 11.0% 35.0 565s
28893 5213 0.78725 72 127 0.75944 0.84184 10.9% 35.6 570s
29297 5193 0.82265 59 193 0.75944 0.84050 10.7% 35.9 575s
29593 5166 0.81480 61 188 0.75944 0.83986 10.6% 36.6 581s
29947 5139 0.82707 63 164 0.75944 0.83941 10.5% 37.1 587s
30449 5106 infeasible 62 0.75944 0.83852 10.4% 37.4 592s
30729 5052 0.77104 66 127 0.75944 0.83728 10.2% 37.7 598s
31272 5093 infeasible 61 0.75944 0.83566 10.0% 38.0 600s
Cutting planes:
Learned: 3
Gomory: 241
Cover: 16
Implied bound: 55
Projected implied bound: 66
Clique: 22
MIR: 328
StrongCG: 9
Flow cover: 825
Flow path: 6
Inf proof: 90
Zero half: 3
Explored 31397 nodes (1197214 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.759441 0.759441 0.759441
Time limit reached
Best objective 7.594407150861e-01, best bound 8.353521522275e-01, gap 9.9957%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ru0x17z.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphnz20nva.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.757922
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.225802e+00, 1321 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22580 0 100 0.75792 1.22580 61.7% - 0s
0 0 1.18502 0 115 0.75792 1.18502 56.4% - 0s
0 0 1.18500 0 116 0.75792 1.18500 56.3% - 0s
0 0 1.15984 0 128 0.75792 1.15984 53.0% - 0s
0 0 1.15971 0 128 0.75792 1.15971 53.0% - 0s
0 0 1.15875 0 137 0.75792 1.15875 52.9% - 0s
0 0 1.15464 0 136 0.75792 1.15464 52.3% - 0s
0 0 1.15368 0 137 0.75792 1.15368 52.2% - 0s
0 0 1.15324 0 141 0.75792 1.15324 52.2% - 0s
0 0 1.15308 0 141 0.75792 1.15308 52.1% - 0s
0 0 1.15308 0 141 0.75792 1.15308 52.1% - 0s
0 0 1.15259 0 139 0.75792 1.15259 52.1% - 0s
0 0 1.15257 0 139 0.75792 1.15257 52.1% - 0s
0 0 1.15178 0 142 0.75792 1.15178 52.0% - 0s
0 0 1.15178 0 141 0.75792 1.15178 52.0% - 0s
0 0 1.15174 0 141 0.75792 1.15174 52.0% - 0s
0 0 1.15173 0 143 0.75792 1.15173 52.0% - 0s
0 0 1.15173 0 143 0.75792 1.15173 52.0% - 0s
0 0 1.15173 0 134 0.75792 1.15173 52.0% - 0s
0 2 1.15173 0 132 0.75792 1.15173 52.0% - 0s
789 515 1.01519 28 159 0.75792 1.06428 40.4% 12.3 5s
955 579 0.98377 38 154 0.75792 1.05639 39.4% 22.0 10s
2329 880 0.98434 23 172 0.75792 1.02937 35.8% 21.1 15s
3535 1330 0.94035 33 136 0.75792 1.00577 32.7% 21.9 20s
4678 1449 0.85954 33 126 0.75792 0.97410 28.5% 21.6 25s
6925 1920 infeasible 36 0.75792 0.93450 23.3% 19.5 30s
8237 2100 0.90789 49 97 0.75792 0.91603 20.9% 18.7 35s
H 8238 2101 0.7579221 0.91603 20.9% 18.7 35s
9626 2183 0.90581 41 118 0.75792 0.90581 19.5% 18.2 40s
12221 2909 0.86487 43 117 0.75792 0.89567 18.2% 17.1 45s
14061 3267 0.87709 48 93 0.75792 0.88787 17.1% 16.7 50s
16587 3933 cutoff 58 0.75792 0.88043 16.2% 16.2 55s
18667 4284 0.83622 44 94 0.75792 0.87360 15.3% 16.0 60s
20751 4740 infeasible 58 0.75792 0.86957 14.7% 15.7 65s
20982 4802 0.85369 60 134 0.75792 0.86828 14.6% 15.7 87s
20992 4809 0.80553 67 183 0.75792 0.86828 14.6% 15.7 90s
20999 4813 0.79250 87 200 0.75792 0.86828 14.6% 15.7 95s
21004 4817 0.84520 46 191 0.75792 0.86828 14.6% 15.7 100s
21009 4820 0.80733 71 194 0.75792 0.86828 14.6% 15.7 106s
21013 4823 0.83626 60 209 0.75792 0.86828 14.6% 15.7 110s
21017 4825 0.83348 52 212 0.75792 0.86828 14.6% 15.7 115s
21020 4827 0.77571 96 211 0.75792 0.86828 14.6% 15.7 121s
21024 4830 0.83509 51 220 0.75792 0.86828 14.6% 15.7 125s
21030 4834 0.86296 24 229 0.75792 0.86828 14.6% 15.7 130s
21035 4837 0.76683 71 237 0.75792 0.86828 14.6% 15.7 135s
21040 4841 0.85407 78 228 0.75792 0.86828 14.6% 15.7 140s
21044 4843 0.86296 24 219 0.75792 0.86828 14.6% 15.7 145s
21049 4847 0.84926 57 236 0.75792 0.86828 14.6% 15.7 150s
21054 4850 0.79203 84 220 0.75792 0.86828 14.6% 15.7 155s
21058 4853 0.86063 44 227 0.75792 0.86828 14.6% 15.7 160s
21063 4856 0.84150 61 236 0.75792 0.86828 14.6% 15.7 165s
21067 4859 0.81659 72 245 0.75792 0.86828 14.6% 15.7 170s
21072 4862 0.86457 63 253 0.75792 0.86828 14.6% 15.7 175s
21076 4865 0.86078 37 250 0.75792 0.86828 14.6% 15.7 180s
21082 4869 0.85369 60 250 0.75792 0.86828 14.6% 15.7 186s
21086 4871 0.78824 65 257 0.75792 0.86828 14.6% 15.7 190s
21091 4875 0.86284 35 252 0.75792 0.86828 14.6% 15.7 195s
21094 4877 0.84142 55 257 0.75792 0.86828 14.6% 15.7 200s
21097 4879 0.83039 40 252 0.75792 0.86828 14.6% 15.7 205s
21101 4881 0.85965 44 268 0.75792 0.86828 14.6% 15.7 210s
21104 4883 0.84520 46 258 0.75792 0.86828 14.6% 15.7 215s
21108 4886 0.86706 43 269 0.75792 0.86828 14.6% 15.6 221s
21110 4887 0.80866 55 261 0.75792 0.86828 14.6% 15.6 226s
21112 4889 0.80542 73 255 0.75792 0.86828 14.6% 15.6 230s
21117 4892 0.83348 52 275 0.75792 0.86828 14.6% 15.6 235s
21122 4895 0.79585 70 255 0.75792 0.86828 14.6% 15.6 240s
21126 4898 0.83458 31 269 0.75792 0.86828 14.6% 15.6 245s
21131 4901 0.84673 64 274 0.75792 0.86828 14.6% 15.6 250s
21133 4903 0.80380 73 264 0.75792 0.86828 14.6% 15.6 255s
21137 4905 0.83433 50 271 0.75792 0.86828 14.6% 15.6 260s
21141 4908 0.79166 27 264 0.75792 0.86828 14.6% 15.6 265s
21146 4911 0.83752 37 275 0.75792 0.86828 14.6% 15.6 270s
21152 4915 0.83838 55 261 0.75792 0.86828 14.6% 15.6 275s
21158 4919 0.86063 44 266 0.75792 0.86828 14.6% 15.6 280s
21165 4924 0.82202 70 264 0.75792 0.86828 14.6% 15.6 285s
21168 4926 0.83396 54 264 0.75792 0.86828 14.6% 15.6 290s
21172 4930 0.86828 25 244 0.75792 0.86828 14.6% 17.6 302s
21174 4930 0.86828 26 249 0.75792 0.86828 14.6% 17.6 308s
H21178 4680 0.7579221 0.86828 14.6% 17.6 309s
21179 4683 0.86828 28 258 0.75792 0.86828 14.6% 17.6 310s
21203 4695 0.86828 31 233 0.75792 0.86828 14.6% 18.0 316s
21298 4678 infeasible 30 0.75792 0.86828 14.6% 18.4 320s
21518 4690 0.85249 40 235 0.75792 0.86828 14.6% 19.3 325s
21787 4678 0.77783 73 127 0.75792 0.86828 14.6% 20.0 330s
22074 4674 0.82476 47 183 0.75792 0.86480 14.1% 20.8 335s
22404 4685 infeasible 35 0.75792 0.85555 12.9% 21.5 340s
22871 4660 0.77914 61 115 0.75792 0.85006 12.2% 22.2 345s
23307 4614 0.82949 49 169 0.75792 0.84631 11.7% 22.9 351s
23747 4620 cutoff 62 0.75792 0.84354 11.3% 23.3 356s
24107 4617 0.79399 47 136 0.75792 0.84162 11.0% 23.7 362s
24312 4585 0.78816 50 187 0.75792 0.83961 10.8% 24.0 366s
24860 4508 infeasible 48 0.75792 0.83476 10.1% 24.7 372s
25287 4509 cutoff 38 0.75792 0.82961 9.46% 25.1 376s
25682 4413 0.79593 54 139 0.75792 0.82520 8.88% 25.5 380s
26261 4377 0.76111 78 82 0.75792 0.82184 8.43% 25.9 385s
26579 4359 0.78993 57 149 0.75792 0.81990 8.18% 26.1 391s
26945 4277 infeasible 56 0.75792 0.81830 7.97% 26.3 397s
27630 4106 infeasible 64 0.75792 0.81378 7.37% 26.7 403s
28069 4002 0.78024 77 102 0.75792 0.81156 7.08% 26.9 405s
28835 3838 infeasible 60 0.75792 0.80624 6.38% 27.4 412s
29115 3736 0.76357 61 99 0.75792 0.80624 6.38% 27.4 415s
30084 3503 0.79656 57 119 0.75792 0.79912 5.44% 27.6 421s
31173 3243 0.78843 65 99 0.75792 0.79644 5.08% 27.6 427s
31727 3122 0.79381 71 95 0.75792 0.79487 4.87% 27.5 430s
32621 2869 0.76050 66 129 0.75792 0.79158 4.44% 27.5 436s
33558 2557 0.78177 67 87 0.75792 0.78839 4.02% 27.6 441s
33928 2470 0.78718 62 104 0.75792 0.78725 3.87% 27.6 445s
34596 2212 infeasible 58 0.75792 0.78574 3.67% 27.6 450s
35361 1963 infeasible 52 0.75792 0.78345 3.37% 27.6 456s
36103 1910 0.77247 69 117 0.75792 0.78120 3.07% 27.6 460s
37279 1836 infeasible 56 0.75792 0.77847 2.71% 27.5 466s
37915 1755 0.76875 65 101 0.75792 0.77671 2.48% 27.5 470s
38834 1575 infeasible 66 0.75792 0.77438 2.17% 27.5 475s
39827 1312 infeasible 67 0.75792 0.77143 1.78% 27.4 480s
40712 1064 0.76620 63 87 0.75792 0.76869 1.42% 27.3 485s
Cutting planes:
Learned: 3
Gomory: 160
Cover: 18
Implied bound: 50
Projected implied bound: 59
Clique: 14
MIR: 248
StrongCG: 3
Flow cover: 743
Flow path: 6
Inf proof: 187
Zero half: 2
Explored 41800 nodes (1135693 simplex iterations) in 489.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.757922 0.757922 0.757922
Optimal solution found (tolerance 1.00e-02)
Best objective 7.579221473248e-01, best bound 7.651764449110e-01, gap 0.9571%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4t7hx27j.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp37ks8uqb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.748751
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.206493e+00, 1447 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20649 0 93 0.74875 1.20649 61.1% - 0s
0 0 1.16667 0 115 0.74875 1.16667 55.8% - 0s
0 0 1.16666 0 114 0.74875 1.16666 55.8% - 0s
0 0 1.14949 0 115 0.74875 1.14949 53.5% - 0s
0 0 1.14937 0 115 0.74875 1.14937 53.5% - 0s
0 0 1.14901 0 117 0.74875 1.14901 53.5% - 0s
0 0 1.14500 0 119 0.74875 1.14500 52.9% - 0s
0 0 1.14312 0 119 0.74875 1.14312 52.7% - 0s
0 0 1.14311 0 121 0.74875 1.14311 52.7% - 0s
0 0 1.14192 0 124 0.74875 1.14192 52.5% - 0s
0 0 1.14191 0 125 0.74875 1.14191 52.5% - 0s
0 0 1.14165 0 125 0.74875 1.14165 52.5% - 0s
0 0 1.14165 0 125 0.74875 1.14165 52.5% - 0s
0 0 1.14165 0 121 0.74875 1.14165 52.5% - 0s
0 0 1.14165 0 123 0.74875 1.14165 52.5% - 0s
0 0 1.14165 0 122 0.74875 1.14165 52.5% - 0s
0 0 1.14165 0 122 0.74875 1.14165 52.5% - 0s
0 2 1.14165 0 122 0.74875 1.14165 52.5% - 0s
749 496 1.02186 5 147 0.74875 1.04506 39.6% 14.1 5s
986 545 1.02539 23 166 0.74875 1.03571 38.3% 23.0 10s
2026 664 0.89322 63 136 0.74875 0.98802 32.0% 23.3 15s
3426 1004 0.84783 62 111 0.74875 0.95008 26.9% 20.7 20s
5303 1884 0.87253 40 119 0.74875 0.93427 24.8% 18.4 25s
7635 2316 infeasible 47 0.74875 0.90580 21.0% 17.5 30s
10357 3067 infeasible 68 0.74875 0.88915 18.8% 16.4 35s
13174 3920 0.88270 71 114 0.74875 0.88270 17.9% 15.8 40s
16216 4887 0.81942 69 125 0.74875 0.87581 17.0% 15.0 45s
18459 5510 0.83343 80 106 0.74875 0.87247 16.5% 15.1 50s
20717 6100 0.86656 66 122 0.74875 0.86912 16.1% 14.9 75s
20729 6108 0.78366 57 241 0.74875 0.86912 16.1% 14.9 80s
20732 6110 0.79061 93 236 0.74875 0.86912 16.1% 14.9 85s
20736 6113 0.82439 74 260 0.74875 0.86912 16.1% 14.9 90s
20739 6115 0.75382 164 270 0.74875 0.86912 16.1% 14.9 96s
20742 6117 0.82404 90 267 0.74875 0.86912 16.1% 14.9 100s
20747 6120 0.86717 74 291 0.74875 0.86912 16.1% 14.9 107s
20749 6121 0.84788 83 269 0.74875 0.86912 16.1% 14.9 111s
20752 6123 0.78740 96 282 0.74875 0.86912 16.1% 14.9 115s
20756 6126 0.84876 47 292 0.74875 0.86912 16.1% 14.9 121s
20759 6128 0.85986 67 300 0.74875 0.86912 16.1% 14.9 126s
20763 6131 0.80496 105 287 0.74875 0.86912 16.1% 14.9 131s
20766 6133 0.85265 74 313 0.74875 0.86912 16.1% 14.9 135s
20770 6135 0.78169 82 280 0.74875 0.86912 16.1% 14.9 140s
20774 6138 0.85137 88 302 0.74875 0.86912 16.1% 14.9 146s
20779 6141 0.75401 118 310 0.74875 0.86912 16.1% 14.9 150s
20782 6143 0.84318 89 317 0.74875 0.86912 16.1% 14.9 156s
20786 6146 0.86432 72 314 0.74875 0.86912 16.1% 14.9 161s
20789 6148 0.80927 89 318 0.74875 0.86912 16.1% 14.9 165s
20792 6150 0.86154 48 307 0.74875 0.86912 16.1% 14.9 170s
20796 6153 0.84987 72 310 0.74875 0.86912 16.1% 14.9 176s
20798 6154 0.80110 58 323 0.74875 0.86912 16.1% 14.9 181s
20800 6155 0.83948 80 307 0.74875 0.86912 16.1% 14.9 185s
20804 6158 0.85348 69 315 0.74875 0.86912 16.1% 14.9 191s
20808 6161 0.76597 62 307 0.74875 0.86912 16.1% 14.9 197s
20810 6162 0.85474 85 320 0.74875 0.86912 16.1% 14.8 200s
20814 6165 0.77402 112 322 0.74875 0.86912 16.1% 14.8 206s
20817 6167 0.86656 66 332 0.74875 0.86912 16.1% 14.8 210s
20820 6169 0.85707 75 322 0.74875 0.86912 16.1% 14.8 216s
20823 6171 0.78607 73 321 0.74875 0.86912 16.1% 14.8 220s
20826 6173 0.82583 74 317 0.74875 0.86912 16.1% 14.8 226s
20829 6175 0.78366 57 318 0.74875 0.86912 16.1% 14.8 230s
20832 6177 0.79061 93 320 0.74875 0.86912 16.1% 14.8 236s
20835 6179 0.81568 86 325 0.74875 0.86912 16.1% 14.8 240s
20838 6181 0.83561 56 322 0.74875 0.86912 16.1% 14.8 246s
20840 6182 0.82458 71 321 0.74875 0.86912 16.1% 14.8 250s
20843 6184 0.80137 64 330 0.74875 0.86912 16.1% 14.8 255s
20846 6186 0.85469 81 322 0.74875 0.86912 16.1% 14.8 260s
20851 6189 0.83975 89 320 0.74875 0.86912 16.1% 14.8 265s
20855 6192 0.76962 98 325 0.74875 0.86912 16.1% 14.8 270s
20860 6195 0.81725 97 322 0.74875 0.86912 16.1% 14.8 276s
20862 6197 0.85624 60 327 0.74875 0.86912 16.1% 14.8 280s
20866 6199 0.85265 74 342 0.74875 0.86912 16.1% 14.8 285s
20872 6203 0.83987 85 339 0.74875 0.86912 16.1% 14.8 291s
20875 6205 0.86344 75 330 0.74875 0.86912 16.1% 14.8 295s
20880 6209 0.78946 84 326 0.74875 0.86912 16.1% 14.8 301s
20884 6211 0.82544 65 323 0.74875 0.86912 16.1% 14.8 305s
20889 6215 0.80927 89 327 0.74875 0.86912 16.1% 14.8 310s
20892 6217 0.86154 48 327 0.74875 0.86912 16.1% 14.8 317s
20895 6219 0.82688 71 334 0.74875 0.86912 16.1% 14.8 320s
20898 6221 0.80110 58 330 0.74875 0.86912 16.1% 14.8 325s
20902 6223 0.75944 97 327 0.74875 0.86912 16.1% 14.8 331s
20904 6225 0.85348 69 332 0.74875 0.86912 16.1% 14.8 336s
20908 6227 0.76597 62 331 0.74875 0.86912 16.1% 14.8 340s
20911 6229 0.86268 50 332 0.74875 0.86912 16.1% 14.8 345s
20914 6231 0.77402 112 329 0.74875 0.86912 16.1% 14.8 351s
20916 6233 0.78399 91 335 0.74875 0.86912 16.1% 14.8 355s
20920 6235 0.85707 75 335 0.74875 0.86912 16.1% 14.8 363s
20922 6237 0.85953 43 335 0.74875 0.86912 16.1% 14.8 367s
20924 6238 0.75382 164 331 0.74875 0.86912 16.1% 14.8 370s
20928 6241 0.78298 95 327 0.74875 0.86912 16.1% 14.8 376s
20931 6243 0.86093 75 325 0.74875 0.86912 16.1% 14.8 380s
20933 6244 0.79876 60 326 0.74875 0.86912 16.1% 14.8 385s
20934 6245 infeasible 30 0.74875 0.86912 16.1% 17.6 396s
20936 6244 0.86912 31 301 0.74875 0.86912 16.1% 17.7 404s
20938 6244 0.86912 33 299 0.74875 0.86912 16.1% 17.7 406s
20939 6243 0.86912 34 294 0.74875 0.86912 16.1% 17.7 416s
20952 6247 0.85353 40 252 0.74875 0.86912 16.1% 18.0 420s
20975 6253 0.85143 43 241 0.74875 0.86912 16.1% 18.5 425s
21026 6252 0.82924 51 243 0.74875 0.86912 16.1% 18.8 430s
H21029 5936 0.7487508 0.86912 16.1% 18.8 430s
21106 5933 0.86912 40 268 0.74875 0.86912 16.1% 19.2 438s
21119 5929 0.86865 41 295 0.74875 0.86912 16.1% 19.7 440s
21185 5937 0.79515 43 262 0.74875 0.86912 16.1% 20.2 447s
21226 5934 cutoff 42 0.74875 0.86912 16.1% 20.9 450s
21384 5976 0.75684 64 212 0.74875 0.86912 16.1% 21.6 455s
21690 5947 infeasible 59 0.74875 0.86772 15.9% 22.6 462s
21794 5931 0.83038 72 188 0.74875 0.86680 15.8% 23.0 465s
22127 5952 cutoff 90 0.74875 0.86148 15.1% 23.6 470s
22511 5960 0.83433 70 189 0.74875 0.85709 14.5% 24.3 476s
22898 5996 0.85322 66 190 0.74875 0.85492 14.2% 24.8 480s
23094 5993 0.84388 50 208 0.74875 0.85087 13.6% 25.5 485s
23208 6007 infeasible 72 0.74875 0.84966 13.5% 25.7 491s
23598 6020 0.80586 87 134 0.74875 0.84578 13.0% 26.2 496s
23921 6038 0.83778 74 164 0.74875 0.84425 12.8% 26.6 502s
24347 6041 0.83810 72 169 0.74875 0.84230 12.5% 27.0 507s
24792 6082 cutoff 109 0.74875 0.83957 12.1% 27.3 512s
24952 6071 0.79211 69 164 0.74875 0.83899 12.1% 27.6 515s
25420 6105 infeasible 68 0.74875 0.83751 11.9% 28.0 521s
25648 6121 0.81274 88 111 0.74875 0.83663 11.7% 28.3 525s
25942 6113 0.80898 83 159 0.74875 0.83571 11.6% 28.6 531s
26066 6082 0.78999 71 129 0.74875 0.83533 11.6% 28.7 536s
26567 6079 0.82009 76 152 0.74875 0.83147 11.0% 29.4 543s
26783 6090 infeasible 66 0.74875 0.82979 10.8% 29.7 549s
27105 6104 0.81428 77 133 0.74875 0.82925 10.8% 30.0 553s
27407 6093 0.80261 84 144 0.74875 0.82879 10.7% 30.2 557s
27766 6065 0.78300 82 127 0.74875 0.82787 10.6% 30.5 562s
28225 6038 0.80078 84 139 0.74875 0.82673 10.4% 30.7 566s
28607 5993 0.81577 85 104 0.74875 0.82565 10.3% 31.0 571s
29011 5928 cutoff 80 0.74875 0.82387 10.0% 31.4 577s
29351 5865 0.80083 85 130 0.74875 0.82299 9.91% 32.0 582s
29731 5767 infeasible 60 0.74875 0.82183 9.76% 32.4 587s
30178 5671 0.81183 76 137 0.74875 0.82031 9.56% 32.7 593s
30681 5627 0.76858 85 99 0.74875 0.81975 9.48% 33.0 597s
31044 5581 0.77224 76 130 0.74875 0.81798 9.25% 33.2 600s
Cutting planes:
Learned: 3
Gomory: 226
Cover: 15
Implied bound: 42
Projected implied bound: 49
Clique: 15
MIR: 279
StrongCG: 8
Flow cover: 748
Flow path: 2
Inf proof: 117
Zero half: 6
Explored 31236 nodes (1045949 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.748751 0.748751
Time limit reached
Best objective 7.487507860465e-01, best bound 8.177516264069e-01, gap 9.2155%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppkddrk7a.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3qj96aew.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.745146
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.198963e+00, 1767 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19896 0 98 0.74515 1.19896 60.9% - 0s
0 0 1.14586 0 124 0.74515 1.14586 53.8% - 0s
0 0 1.14512 0 121 0.74515 1.14512 53.7% - 0s
0 0 1.12001 0 121 0.74515 1.12001 50.3% - 0s
0 0 1.11997 0 120 0.74515 1.11997 50.3% - 0s
0 0 1.11980 0 119 0.74515 1.11980 50.3% - 0s
0 0 1.11976 0 116 0.74515 1.11976 50.3% - 0s
0 0 1.11975 0 120 0.74515 1.11975 50.3% - 0s
0 0 1.11975 0 114 0.74515 1.11975 50.3% - 0s
0 2 1.11975 0 114 0.74515 1.11975 50.3% - 0s
754 535 1.04846 6 182 0.74515 1.04846 40.7% 12.3 5s
1097 610 0.80814 52 120 0.74515 1.03721 39.2% 20.6 10s
2412 796 0.89315 39 139 0.74515 0.99313 33.3% 21.4 15s
3472 1125 0.78775 64 89 0.74515 0.96329 29.3% 20.6 20s
5148 1607 cutoff 44 0.74515 0.93217 25.1% 18.0 25s
7773 2325 infeasible 29 0.74515 0.91000 22.1% 15.5 30s
10485 2897 infeasible 65 0.74515 0.88382 18.6% 13.8 35s
12958 3679 infeasible 53 0.74515 0.87326 17.2% 13.1 40s
15066 4067 0.76881 98 47 0.74515 0.86730 16.4% 12.6 45s
18321 4931 0.81851 72 92 0.74515 0.85585 14.9% 12.2 50s
20664 5521 cutoff 66 0.74515 0.85064 14.2% 12.2 55s
20990 5651 0.77627 104 114 0.74515 0.84886 13.9% 12.2 79s
20992 5652 0.79933 90 125 0.74515 0.84886 13.9% 12.2 80s
21002 5659 0.78858 84 245 0.74515 0.84886 13.9% 12.2 85s
21006 5662 0.81511 101 245 0.74515 0.84886 13.9% 12.2 90s
21011 5665 0.76075 75 258 0.74515 0.84886 13.9% 12.2 95s
21014 5667 0.81585 70 257 0.74515 0.84886 13.9% 12.2 100s
21022 5672 0.77741 82 280 0.74515 0.84886 13.9% 12.2 105s
21026 5675 0.76817 149 258 0.74515 0.84886 13.9% 12.2 110s
21030 5678 0.82403 46 247 0.74515 0.84886 13.9% 12.2 115s
21034 5680 0.80657 70 266 0.74515 0.84886 13.9% 12.2 120s
21036 5682 0.75679 113 263 0.74515 0.84886 13.9% 12.2 126s
21039 5684 0.81591 73 274 0.74515 0.84886 13.9% 12.2 130s
21042 5686 0.84458 46 283 0.74515 0.84886 13.9% 12.2 137s
21045 5688 0.75284 91 278 0.74515 0.84886 13.9% 12.2 140s
21047 5689 0.78247 99 320 0.74515 0.84886 13.9% 12.2 146s
21049 5690 0.84628 56 289 0.74515 0.84886 13.9% 12.2 150s
21053 5693 0.83802 40 296 0.74515 0.84886 13.9% 12.2 155s
21054 5694 0.77253 118 290 0.74515 0.84886 13.9% 12.2 162s
21056 5695 0.76910 53 294 0.74515 0.84886 13.9% 12.2 165s
21061 5698 0.81797 49 290 0.74515 0.84886 13.9% 12.2 170s
21064 5700 0.77486 116 286 0.74515 0.84886 13.9% 12.2 175s
21068 5703 0.78122 82 292 0.74515 0.84886 13.9% 12.1 180s
21072 5706 0.78921 78 292 0.74515 0.84886 13.9% 12.1 185s
21076 5708 0.79896 60 291 0.74515 0.84886 13.9% 12.1 192s
21078 5710 0.75437 121 298 0.74515 0.84886 13.9% 12.1 195s
21082 5712 0.76980 103 0 0.74515 0.84886 13.9% 12.1 226s
21083 5713 0.81298 73 0 0.74515 0.84886 13.9% 12.1 248s
21085 5715 infeasible 24 0.74515 0.84886 13.9% 17.6 289s
21087 5716 0.84886 25 264 0.74515 0.84886 13.9% 17.7 307s
21104 5725 0.84886 30 254 0.74515 0.84886 13.9% 17.9 310s
21228 5741 0.82393 60 186 0.74515 0.84886 13.9% 18.2 315s
21290 5751 0.77571 84 113 0.74515 0.84886 13.9% 18.4 320s
21332 5765 0.75447 102 76 0.74515 0.84886 13.9% 18.4 331s
21536 5755 infeasible 39 0.74515 0.84886 13.9% 18.7 335s
*21828 5531 153 0.7451465 0.84886 13.9% 19.2 339s
21832 5527 infeasible 36 0.74515 0.84886 13.9% 19.2 340s
22185 5530 infeasible 55 0.74515 0.84886 13.9% 20.0 345s
22479 5541 0.84886 39 213 0.74515 0.84886 13.9% 20.5 350s
22830 5552 0.81595 57 160 0.74515 0.84886 13.9% 21.2 355s
23383 5646 0.74533 95 67 0.74515 0.84769 13.8% 21.5 360s
23942 5680 0.83885 46 185 0.74515 0.84496 13.4% 22.0 366s
24373 5671 0.82784 39 166 0.74515 0.84290 13.1% 22.5 371s
24754 5670 0.79344 33 175 0.74515 0.83941 12.7% 22.7 375s
25218 5645 0.80179 50 121 0.74515 0.83618 12.2% 22.9 380s
25686 5626 infeasible 63 0.74515 0.83336 11.8% 23.2 385s
26347 5588 0.81610 53 171 0.74515 0.82937 11.3% 23.8 391s
26628 5534 0.81788 49 201 0.74515 0.82812 11.1% 24.1 397s
26962 5502 0.76988 48 99 0.74515 0.82767 11.1% 24.2 400s
27635 5409 0.76590 65 76 0.74515 0.82342 10.5% 24.6 405s
28239 5332 infeasible 45 0.74515 0.82115 10.2% 25.0 412s
28642 5301 0.75253 56 107 0.74515 0.81950 10.0% 25.1 416s
28993 5263 0.79532 33 188 0.74515 0.81758 9.72% 25.2 420s
29793 5151 0.74897 70 96 0.74515 0.81512 9.39% 25.6 429s
30284 5132 infeasible 51 0.74515 0.81346 9.17% 25.7 433s
30775 5085 0.80723 55 152 0.74515 0.81172 8.93% 25.9 438s
31325 5026 cutoff 58 0.74515 0.81116 8.86% 26.1 443s
31858 4957 0.76599 62 126 0.74515 0.80989 8.69% 26.3 448s
32418 4920 infeasible 58 0.74515 0.80811 8.45% 26.3 453s
33077 4862 cutoff 54 0.74515 0.80576 8.13% 26.3 457s
33548 4786 0.79461 53 126 0.74515 0.80471 7.99% 26.6 460s
34489 4612 0.77155 54 94 0.74515 0.80194 7.62% 26.8 468s
35102 4620 infeasible 62 0.74515 0.80126 7.53% 26.8 474s
35107 4551 0.78702 63 95 0.74515 0.80041 7.42% 26.8 477s
35634 4465 cutoff 60 0.74515 0.79984 7.34% 26.9 481s
36168 4345 0.76219 77 63 0.74515 0.79733 7.00% 27.0 485s
37248 4092 infeasible 60 0.74515 0.79542 6.75% 27.1 493s
37741 4107 infeasible 61 0.74515 0.79291 6.41% 27.2 496s
38605 4135 infeasible 57 0.74515 0.79124 6.19% 27.3 504s
39181 4158 0.78347 55 112 0.74515 0.78933 5.93% 27.3 507s
39556 4134 0.78912 57 157 0.74515 0.78912 5.90% 27.4 511s
40056 4160 infeasible 61 0.74515 0.78717 5.64% 27.4 515s
40956 4187 0.78043 56 107 0.74515 0.78473 5.31% 27.5 523s
41409 4180 0.78059 53 84 0.74515 0.78386 5.20% 27.5 527s
41758 4170 0.77623 58 105 0.74515 0.78302 5.08% 27.6 531s
42565 4151 0.78033 44 177 0.74515 0.78103 4.82% 27.5 536s
43119 4057 infeasible 67 0.74515 0.77923 4.57% 27.7 542s
43909 4024 0.75622 43 124 0.74515 0.77759 4.35% 27.7 547s
44654 3985 infeasible 66 0.74515 0.77642 4.20% 27.7 551s
45562 3991 infeasible 60 0.74515 0.77459 3.95% 27.6 557s
46352 3926 infeasible 66 0.74515 0.77328 3.78% 27.6 562s
46793 3924 infeasible 62 0.74515 0.77265 3.69% 27.6 565s
47540 3858 cutoff 54 0.74515 0.77139 3.52% 27.6 570s
48702 3762 infeasible 57 0.74515 0.76967 3.29% 27.5 577s
49334 3651 infeasible 68 0.74515 0.76855 3.14% 27.5 581s
50038 3576 infeasible 67 0.74515 0.76747 3.00% 27.5 585s
51042 3425 infeasible 58 0.74515 0.76596 2.79% 27.4 591s
51853 3201 cutoff 69 0.74515 0.76453 2.60% 27.5 595s
52607 2991 0.76255 72 53 0.74515 0.76308 2.41% 27.4 600s
Cutting planes:
Learned: 1
Gomory: 116
Cover: 9
Implied bound: 24
Projected implied bound: 20
Clique: 9
MIR: 88
StrongCG: 4
Flow cover: 274
Flow path: 1
Inf proof: 39
Explored 52889 nodes (1453661 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.745147 0.745146
Time limit reached
Best objective 7.451465086767e-01, best bound 7.626739478761e-01, gap 2.3522%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2glgqbox.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp766m35y1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.739014
Presolve removed 793 rows and 493 columns
Presolve time: 0.04s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.195269e+00, 1667 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19527 0 99 0.73901 1.19527 61.7% - 0s
0 0 1.15634 0 122 0.73901 1.15634 56.5% - 0s
0 0 1.15562 0 117 0.73901 1.15562 56.4% - 0s
0 0 1.13600 0 124 0.73901 1.13600 53.7% - 0s
0 0 1.13600 0 125 0.73901 1.13600 53.7% - 0s
0 0 1.13590 0 123 0.73901 1.13590 53.7% - 0s
0 0 1.13590 0 124 0.73901 1.13590 53.7% - 0s
0 0 1.13590 0 123 0.73901 1.13590 53.7% - 0s
0 0 1.13590 0 123 0.73901 1.13590 53.7% - 0s
0 0 1.13590 0 123 0.73901 1.13590 53.7% - 0s
0 0 1.13590 0 114 0.73901 1.13590 53.7% - 0s
0 2 1.13590 0 114 0.73901 1.13590 53.7% - 0s
752 452 0.98276 39 155 0.73901 1.04963 42.0% 13.7 5s
1655 758 infeasible 51 0.73901 1.03535 40.1% 17.3 10s
2460 929 0.90445 35 162 0.73901 1.01395 37.2% 18.3 15s
5070 2331 infeasible 82 0.73901 0.97945 32.5% 15.8 20s
7733 3062 0.89037 41 127 0.73901 0.92624 25.3% 14.2 25s
9565 3570 0.89574 61 120 0.73901 0.90733 22.8% 13.3 30s
12250 4214 0.78182 43 142 0.73901 0.88962 20.4% 12.5 35s
H13153 4468 0.7390142 0.88492 19.7% 12.5 36s
14309 4704 infeasible 54 0.73901 0.87899 18.9% 12.5 40s
16414 5012 0.83964 68 100 0.73901 0.86946 17.7% 13.0 45s
18984 5589 cutoff 71 0.73901 0.86116 16.5% 13.2 50s
20827 6083 0.80329 79 114 0.73901 0.85780 16.1% 13.3 77s
20836 6089 0.75616 71 257 0.73901 0.85780 16.1% 13.3 81s
20841 6092 0.78446 69 231 0.73901 0.85780 16.1% 13.3 85s
20845 6095 0.78377 91 253 0.73901 0.85780 16.1% 13.3 90s
20851 6099 0.77966 59 264 0.73901 0.85780 16.1% 13.3 95s
20854 6101 0.81504 67 223 0.73901 0.85780 16.1% 13.3 100s
20859 6104 0.84964 58 230 0.73901 0.85780 16.1% 13.3 106s
20861 6106 0.80478 55 242 0.73901 0.85780 16.1% 13.3 110s
20866 6109 0.84298 49 253 0.73901 0.85780 16.1% 13.3 115s
20871 6112 0.84304 71 250 0.73901 0.85780 16.1% 13.3 120s
20875 6115 0.85606 57 245 0.73901 0.85780 16.1% 13.3 125s
20879 6118 0.81531 63 258 0.73901 0.85780 16.1% 13.3 132s
20881 6119 0.81544 46 259 0.73901 0.85780 16.1% 13.3 135s
20885 6122 0.82565 49 264 0.73901 0.85780 16.1% 13.3 142s
20888 6124 0.85359 36 263 0.73901 0.85780 16.1% 13.3 146s
20892 6126 0.84586 56 263 0.73901 0.85780 16.1% 13.3 150s
20896 6129 0.81965 65 259 0.73901 0.85780 16.1% 13.3 155s
20901 6132 0.76982 66 258 0.73901 0.85780 16.1% 13.3 160s
20904 6134 0.82963 75 272 0.73901 0.85780 16.1% 13.3 165s
20909 6138 0.78932 80 265 0.73901 0.85780 16.1% 13.2 172s
20912 6140 0.76330 69 259 0.73901 0.85780 16.1% 13.2 175s
20916 6142 0.85107 65 263 0.73901 0.85780 16.1% 13.2 180s
20919 6144 0.80862 67 293 0.73901 0.85780 16.1% 13.2 185s
20923 6147 0.81245 62 255 0.73901 0.85780 16.1% 13.2 190s
20927 6150 0.80329 79 269 0.73901 0.85780 16.1% 13.2 196s
20931 6152 0.78064 75 250 0.73901 0.85780 16.1% 13.2 201s
20935 6155 0.84980 67 262 0.73901 0.85780 16.1% 13.2 205s
20939 6158 0.84986 54 264 0.73901 0.85780 16.1% 13.2 210s
20944 6161 0.78953 45 276 0.73901 0.85780 16.1% 13.2 215s
20947 6163 0.83568 77 263 0.73901 0.85780 16.1% 13.2 222s
20949 6164 0.75860 84 266 0.73901 0.85780 16.1% 13.2 228s
20951 6166 0.77966 59 270 0.73901 0.85780 16.1% 13.2 231s
20954 6168 0.81504 67 271 0.73901 0.85780 16.1% 13.2 235s
20957 6170 0.84644 75 265 0.73901 0.85780 16.1% 13.2 242s
20959 6171 0.84964 58 264 0.73901 0.85780 16.1% 13.2 245s
20963 6174 0.83295 75 274 0.73901 0.85780 16.1% 13.2 251s
20967 6176 0.77416 89 275 0.73901 0.85780 16.1% 13.2 257s
20969 6178 0.76539 76 265 0.73901 0.85780 16.1% 13.2 260s
20973 6180 0.76547 129 268 0.73901 0.85780 16.1% 13.2 266s
20976 6182 0.84868 55 275 0.73901 0.85780 16.1% 13.2 270s
20980 6185 0.80113 54 281 0.73901 0.85780 16.1% 13.2 275s
20984 6188 0.85605 78 270 0.73901 0.85780 16.1% 13.2 280s
20988 6190 0.85359 36 278 0.73901 0.85780 16.1% 13.2 285s
20991 6192 0.80854 50 268 0.73901 0.85780 16.1% 13.2 291s
20994 6194 0.82119 73 270 0.73901 0.85780 16.1% 13.2 295s
20998 6197 0.80698 93 271 0.73901 0.85780 16.1% 13.2 300s
21000 6198 0.80102 49 273 0.73901 0.85780 16.1% 13.2 305s
21004 6201 0.82963 75 301 0.73901 0.85780 16.1% 13.2 310s
21009 6204 0.78932 80 283 0.73901 0.85780 16.1% 13.2 315s
21013 6207 0.76989 95 283 0.73901 0.85780 16.1% 13.2 320s
21017 6210 0.82273 89 269 0.73901 0.85780 16.1% 13.2 325s
21021 6212 0.75491 73 291 0.73901 0.85780 16.1% 13.2 330s
21026 6216 0.77525 147 283 0.73901 0.85780 16.1% 13.2 335s
21031 6219 0.78064 75 286 0.73901 0.85780 16.1% 13.2 340s
21034 6221 0.84178 49 291 0.73901 0.85780 16.1% 13.2 345s
21037 6223 0.79712 87 293 0.73901 0.85780 16.1% 13.2 351s
21039 6225 0.84805 30 274 0.73901 0.85780 16.1% 15.7 363s
21041 6226 0.75504 31 223 0.73901 0.85780 16.1% 15.7 371s
21054 6227 0.85780 35 279 0.73901 0.85780 16.1% 15.9 375s
21094 6232 0.82850 43 259 0.73901 0.85780 16.1% 16.4 381s
21162 6244 infeasible 54 0.73901 0.85780 16.1% 16.9 387s
21230 6254 cutoff 60 0.73901 0.85780 16.1% 17.2 391s
21259 6258 0.74865 37 256 0.73901 0.85780 16.1% 17.3 395s
H21300 5953 0.7390142 0.85780 16.1% 17.5 399s
21304 5950 0.77159 45 247 0.73901 0.85780 16.1% 17.5 400s
21395 5970 0.82591 42 247 0.73901 0.85780 16.1% 17.9 405s
21544 5964 0.79352 53 170 0.73901 0.85630 15.9% 18.6 410s
21721 5977 cutoff 52 0.73901 0.85085 15.1% 19.5 416s
21861 5972 0.75657 45 211 0.73901 0.84644 14.5% 20.1 420s
22117 6007 0.74976 120 59 0.73901 0.84507 14.4% 20.9 425s
22326 6029 infeasible 46 0.73901 0.84163 13.9% 21.7 433s
22370 6033 0.83571 46 228 0.73901 0.84085 13.8% 22.2 435s
22435 6027 0.82450 54 220 0.73901 0.83992 13.7% 22.6 442s
22541 6011 0.79010 50 217 0.73901 0.83926 13.6% 23.5 446s
22731 6024 cutoff 42 0.73901 0.83816 13.4% 24.1 450s
22892 6031 infeasible 41 0.73901 0.83589 13.1% 24.7 455s
23198 6036 0.81070 51 229 0.73901 0.83239 12.6% 25.6 461s
23464 6088 0.76447 93 107 0.73901 0.83167 12.5% 26.3 467s
23800 6152 0.82055 55 202 0.73901 0.83063 12.4% 26.9 472s
23944 6159 infeasible 75 0.73901 0.82926 12.2% 27.3 476s
24302 6179 0.82667 49 217 0.73901 0.82839 12.1% 28.0 483s
24448 6184 infeasible 60 0.73901 0.82802 12.0% 28.4 486s
24626 6162 0.81243 50 218 0.73901 0.82722 11.9% 28.8 493s
24838 6208 0.75980 67 175 0.73901 0.82667 11.9% 29.1 497s
24997 6206 infeasible 58 0.73901 0.82641 11.8% 29.6 501s
25182 6212 0.75877 61 166 0.73901 0.82618 11.8% 30.0 515s
25404 6223 0.81672 63 189 0.73901 0.82575 11.7% 31.0 522s
25595 6260 0.82054 59 173 0.73901 0.82536 11.7% 31.9 531s
25709 6270 0.81470 54 203 0.73901 0.82530 11.7% 32.8 538s
25876 6269 0.76404 59 136 0.73901 0.82491 11.6% 33.4 544s
26088 6311 infeasible 75 0.73901 0.82440 11.6% 34.0 556s
26204 6290 0.76910 77 148 0.73901 0.82377 11.5% 34.2 562s
26393 6262 0.79040 65 202 0.73901 0.82313 11.4% 35.0 569s
26568 6262 infeasible 63 0.73901 0.82313 11.4% 35.9 575s
26831 6250 0.80319 59 183 0.73901 0.82225 11.3% 36.6 581s
27134 6295 0.81987 52 199 0.73901 0.82162 11.2% 37.2 588s
27257 6269 0.80985 61 152 0.73901 0.82149 11.2% 37.9 595s
27535 6296 infeasible 56 0.73901 0.82099 11.1% 38.4 600s
Cutting planes:
Learned: 3
Gomory: 198
Cover: 19
Implied bound: 34
Projected implied bound: 47
Clique: 11
MIR: 263
StrongCG: 4
Flow cover: 684
Flow path: 1
Inf proof: 56
Zero half: 1
Explored 27708 nodes (1080622 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.739014 0.739014 0.739014
Time limit reached
Best objective 7.390141912405e-01, best bound 8.209890820950e-01, gap 11.0925%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwm6fzte4.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwi5kp55q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.725738
Presolve removed 806 rows and 501 columns
Presolve time: 0.05s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.183364e+00, 1883 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18336 0 100 0.72574 1.18336 63.1% - 0s
0 0 1.14575 0 120 0.72574 1.14575 57.9% - 0s
0 0 1.14573 0 119 0.72574 1.14573 57.9% - 0s
0 0 1.12659 0 121 0.72574 1.12659 55.2% - 0s
0 0 1.12647 0 121 0.72574 1.12647 55.2% - 0s
0 0 1.12608 0 124 0.72574 1.12608 55.2% - 0s
0 0 1.12228 0 126 0.72574 1.12228 54.6% - 0s
0 0 1.12101 0 125 0.72574 1.12101 54.5% - 0s
0 0 1.12090 0 122 0.72574 1.12090 54.4% - 0s
0 0 1.12016 0 125 0.72574 1.12016 54.3% - 0s
0 0 1.12016 0 125 0.72574 1.12016 54.3% - 0s
0 0 1.12015 0 128 0.72574 1.12015 54.3% - 0s
0 0 1.12015 0 130 0.72574 1.12015 54.3% - 0s
0 0 1.12015 0 121 0.72574 1.12015 54.3% - 0s
0 2 1.12015 0 121 0.72574 1.12015 54.3% - 0s
751 511 0.75487 219 162 0.72574 1.04302 43.7% 11.1 5s
1287 632 infeasible 24 0.72574 1.02532 41.3% 19.9 10s
2997 1072 0.92508 36 161 0.72574 0.95673 31.8% 19.4 15s
5311 2193 0.87471 48 147 0.72574 0.92763 27.8% 17.4 20s
8107 3187 0.82755 41 157 0.72574 0.90722 25.0% 15.7 25s
10558 3624 cutoff 59 0.72574 0.88323 21.7% 14.7 30s
H12899 4381 0.7257376 0.86927 19.8% 13.9 33s
13040 4343 0.84807 54 107 0.72574 0.86872 19.7% 13.9 35s
15828 5321 0.80429 75 104 0.72574 0.86076 18.6% 13.5 40s
18812 6121 0.84880 57 118 0.72574 0.85428 17.7% 13.6 45s
20543 6632 0.73743 160 121 0.72574 0.85000 17.1% 13.7 70s
20553 6639 0.82945 65 224 0.72574 0.85000 17.1% 13.7 75s
20558 6642 0.82617 55 220 0.72574 0.85000 17.1% 13.7 81s
20562 6645 0.79315 63 242 0.72574 0.85000 17.1% 13.7 85s
20567 6648 0.72750 125 234 0.72574 0.85000 17.1% 13.6 91s
20571 6651 0.83349 57 232 0.72574 0.85000 17.1% 13.6 96s
20574 6653 0.84060 55 245 0.72574 0.85000 17.1% 13.6 101s
20576 6654 0.82156 83 244 0.72574 0.85000 17.1% 13.6 105s
20580 6657 0.79213 72 249 0.72574 0.85000 17.1% 13.6 112s
20582 6658 0.84615 59 259 0.72574 0.85000 17.1% 13.6 116s
20585 6660 0.77426 47 264 0.72574 0.85000 17.1% 13.6 120s
20588 6662 0.83944 64 234 0.72574 0.85000 17.1% 13.6 125s
20592 6665 0.81055 54 265 0.72574 0.85000 17.1% 13.6 130s
20597 6668 0.79783 50 268 0.72574 0.85000 17.1% 13.6 135s
20602 6671 0.80384 69 272 0.72574 0.85000 17.1% 13.6 140s
20606 6674 0.75205 58 272 0.72574 0.85000 17.1% 13.6 145s
20609 6676 0.83652 61 275 0.72574 0.85000 17.1% 13.6 152s
20611 6677 0.82280 80 266 0.72574 0.85000 17.1% 13.6 155s
20615 6680 0.80004 97 274 0.72574 0.85000 17.1% 13.6 162s
20617 6681 0.83221 63 280 0.72574 0.85000 17.1% 13.6 165s
20621 6684 0.77240 117 262 0.72574 0.85000 17.1% 13.6 170s
20625 6687 0.75374 108 272 0.72574 0.85000 17.1% 13.6 175s
20629 6689 0.76568 64 281 0.72574 0.85000 17.1% 13.6 180s
20633 6692 0.81250 68 280 0.72574 0.85000 17.1% 13.6 186s
20636 6694 0.81784 59 279 0.72574 0.85000 17.1% 13.6 190s
20639 6696 0.80995 82 281 0.72574 0.85000 17.1% 13.6 195s
20643 6699 0.73743 160 274 0.72574 0.85000 17.1% 13.6 200s
20647 6701 0.82673 64 285 0.72574 0.85000 17.1% 13.6 205s
20651 6704 0.82361 60 280 0.72574 0.85000 17.1% 13.6 210s
20656 6707 0.83809 57 286 0.72574 0.85000 17.1% 13.6 215s
20661 6711 0.74803 108 275 0.72574 0.85000 17.1% 13.6 220s
20666 6714 0.79136 99 285 0.72574 0.85000 17.1% 13.6 225s
20669 6716 0.81278 84 285 0.72574 0.85000 17.1% 13.6 230s
20673 6719 0.82138 48 282 0.72574 0.85000 17.1% 13.6 235s
20676 6721 0.82156 83 283 0.72574 0.85000 17.1% 13.6 240s
20680 6723 0.79213 72 277 0.72574 0.85000 17.1% 13.6 245s
20683 6725 0.80799 48 278 0.72574 0.85000 17.1% 13.6 250s
20687 6728 0.81425 52 283 0.72574 0.85000 17.1% 13.6 255s
20691 6731 0.79087 97 284 0.72574 0.85000 17.1% 13.6 260s
20695 6733 0.77946 83 281 0.72574 0.85000 17.1% 13.6 265s
20699 6736 0.79507 63 275 0.72574 0.85000 17.1% 13.6 270s
20703 6739 0.76235 96 284 0.72574 0.85000 17.1% 13.6 278s
20705 6740 0.77616 104 292 0.72574 0.85000 17.1% 13.6 280s
20710 6743 0.82172 56 287 0.72574 0.85000 17.1% 13.6 285s
20714 6746 0.83066 70 286 0.72574 0.85000 17.1% 13.6 290s
20719 6749 0.81903 88 285 0.72574 0.85000 17.1% 13.5 295s
20723 6752 0.74117 90 284 0.72574 0.85000 17.1% 13.5 300s
20727 6755 0.75272 66 290 0.72574 0.85000 17.1% 13.5 305s
20732 6758 0.76236 88 289 0.72574 0.85000 17.1% 13.5 310s
20736 6761 0.81784 59 292 0.72574 0.85000 17.1% 13.5 315s
20741 6764 0.80443 58 298 0.72574 0.85000 17.1% 13.5 320s
20745 6767 0.78873 56 292 0.72574 0.85000 17.1% 13.5 325s
20749 6769 0.82877 69 289 0.72574 0.85000 17.1% 13.5 331s
20752 6771 0.76350 68 293 0.72574 0.85000 17.1% 13.5 335s
20755 6773 0.80747 74 294 0.72574 0.85000 17.1% 13.5 341s
20757 6776 0.85000 29 262 0.72574 0.85000 17.1% 16.7 353s
20759 6775 0.81251 30 229 0.72574 0.85000 17.1% 16.8 361s
20771 6779 0.75749 34 222 0.72574 0.85000 17.1% 17.0 365s
20802 6781 0.75068 40 229 0.72574 0.85000 17.1% 17.2 370s
20831 6777 infeasible 43 0.72574 0.85000 17.1% 17.3 375s
21018 6785 infeasible 36 0.72574 0.85000 17.1% 17.9 380s
21163 6798 0.84620 36 279 0.72574 0.85000 17.1% 18.6 385s
21257 6794 cutoff 52 0.72574 0.85000 17.1% 19.0 390s
21442 6812 infeasible 48 0.72574 0.85000 17.1% 19.7 395s
21640 6809 cutoff 45 0.72574 0.85000 17.1% 20.4 400s
21790 6813 infeasible 56 0.72574 0.84887 17.0% 21.2 405s
22121 6909 0.84411 48 205 0.72574 0.84626 16.6% 22.0 411s
22373 6917 0.84059 49 211 0.72574 0.84537 16.5% 22.7 415s
22576 6912 0.72650 47 223 0.72574 0.84451 16.4% 23.2 421s
22753 6927 cutoff 53 0.72574 0.84366 16.2% 23.8 425s
23090 6982 0.77425 44 244 0.72574 0.84299 16.2% 24.7 431s
23246 6975 0.80054 48 241 0.72574 0.84210 16.0% 25.2 436s
23502 7018 0.75906 73 168 0.72574 0.84171 16.0% 25.8 441s
23811 7068 0.74508 43 240 0.72574 0.84117 15.9% 26.5 446s
24149 7131 0.82814 47 236 0.72574 0.84057 15.8% 27.1 452s
24212 7110 0.80771 50 222 0.72574 0.84032 15.8% 27.6 455s
24522 7149 0.81114 46 197 0.72574 0.83983 15.7% 28.5 462s
24643 7153 cutoff 58 0.72574 0.83983 15.7% 29.1 466s
24681 7134 0.78151 59 205 0.72574 0.83983 15.7% 29.1 470s
24929 7137 0.83716 48 222 0.72574 0.83823 15.5% 30.0 476s
25125 7120 cutoff 51 0.72574 0.83779 15.4% 30.4 480s
25297 7095 0.78447 61 195 0.72574 0.83747 15.4% 30.9 485s
25546 7119 0.82233 43 242 0.72574 0.83586 15.2% 31.4 493s
25566 7108 0.82304 44 239 0.72574 0.83586 15.2% 31.5 497s
25851 7103 infeasible 51 0.72574 0.83433 15.0% 31.9 502s
26271 7127 0.75702 63 163 0.72574 0.83262 14.7% 32.2 507s
26688 7122 infeasible 44 0.72574 0.83020 14.4% 32.5 511s
27034 7118 cutoff 50 0.72574 0.82833 14.1% 32.9 524s
27310 7074 0.81535 48 220 0.72574 0.82623 13.8% 33.5 529s
27637 7047 0.78493 59 150 0.72574 0.82400 13.5% 34.0 535s
28001 7036 0.76669 72 121 0.72574 0.82231 13.3% 34.4 540s
28392 7064 0.80969 55 175 0.72574 0.82034 13.0% 34.8 546s
28604 7049 0.77659 69 121 0.72574 0.82025 13.0% 35.0 551s
29006 7017 0.76382 72 135 0.72574 0.81836 12.8% 35.6 557s
29544 6978 0.80969 53 201 0.72574 0.81733 12.6% 36.0 563s
30050 6903 infeasible 63 0.72574 0.81557 12.4% 36.5 570s
30598 6913 infeasible 52 0.72574 0.81312 12.0% 36.9 577s
31194 6874 infeasible 61 0.72574 0.81257 12.0% 37.4 584s
31939 6894 0.80932 54 193 0.72574 0.81122 11.8% 37.5 591s
32574 6835 0.80343 57 161 0.72574 0.80971 11.6% 37.9 597s
33089 6826 cutoff 57 0.72574 0.80854 11.4% 38.2 600s
Cutting planes:
Learned: 4
Gomory: 189
Cover: 17
Implied bound: 41
Projected implied bound: 55
Clique: 12
MIR: 249
StrongCG: 7
Flow cover: 735
Flow path: 1
Inf proof: 140
Explored 33232 nodes (1281925 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.725738 0.725738
Time limit reached
Best objective 7.257376228088e-01, best bound 8.083115679623e-01, gap 11.3779%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpemtf9ecl.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpycw9nngb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.7248
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.170655e+00, 1694 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17065 0 102 0.72480 1.17065 61.5% - 0s
0 0 1.13316 0 130 0.72480 1.13316 56.3% - 0s
0 0 1.13246 0 127 0.72480 1.13246 56.2% - 0s
0 0 1.11025 0 126 0.72480 1.11025 53.2% - 0s
0 0 1.11025 0 126 0.72480 1.11025 53.2% - 0s
0 0 1.10986 0 125 0.72480 1.10986 53.1% - 0s
0 0 1.10986 0 125 0.72480 1.10986 53.1% - 0s
0 0 1.10985 0 129 0.72480 1.10985 53.1% - 0s
0 0 1.10985 0 129 0.72480 1.10985 53.1% - 0s
0 0 1.10984 0 129 0.72480 1.10984 53.1% - 0s
0 0 1.10984 0 130 0.72480 1.10984 53.1% - 0s
0 0 1.10984 0 130 0.72480 1.10984 53.1% - 0s
0 0 1.10984 0 124 0.72480 1.10984 53.1% - 0s
0 2 1.10984 0 124 0.72480 1.10984 53.1% - 0s
757 514 0.90781 41 180 0.72480 1.02532 41.5% 15.6 5s
1034 554 0.96011 26 168 0.72480 1.01745 40.4% 23.5 10s
2395 811 0.88170 33 168 0.72480 0.95473 31.7% 23.4 15s
3443 1201 0.91862 28 144 0.72480 0.93738 29.3% 23.4 20s
5097 1749 0.82766 41 130 0.72480 0.92505 27.6% 22.2 25s
7381 2545 0.89240 46 157 0.72480 0.90527 24.9% 20.8 30s
8818 2625 infeasible 50 0.72480 0.89074 22.9% 20.5 36s
10408 2707 infeasible 59 0.72480 0.87832 21.2% 19.3 40s
13158 3552 infeasible 55 0.72480 0.86911 19.9% 17.6 45s
H13167 3552 0.7248001 0.86911 19.9% 17.6 45s
15018 3883 0.76669 80 82 0.72480 0.86130 18.8% 17.0 50s
17923 4828 0.79713 60 101 0.72480 0.85405 17.8% 16.2 55s
20602 5622 0.78656 74 124 0.72480 0.84914 17.2% 15.6 81s
20611 5628 0.84872 39 216 0.72480 0.84914 17.2% 15.6 85s
20616 5631 0.80477 57 226 0.72480 0.84914 17.2% 15.6 90s
20619 5633 0.78111 64 241 0.72480 0.84914 17.2% 15.6 95s
20622 5635 0.77975 89 233 0.72480 0.84914 17.2% 15.6 102s
20624 5637 0.75842 83 244 0.72480 0.84914 17.2% 15.6 105s
20627 5639 0.81061 60 249 0.72480 0.84914 17.2% 15.6 110s
20630 5641 0.79620 70 266 0.72480 0.84914 17.2% 15.6 115s
20633 5643 0.78888 79 279 0.72480 0.84914 17.2% 15.6 120s
20637 5645 0.78235 80 281 0.72480 0.84914 17.2% 15.6 126s
20640 5647 0.80622 68 291 0.72480 0.84914 17.2% 15.6 130s
20644 5650 0.81821 66 271 0.72480 0.84914 17.2% 15.6 135s
20647 5652 0.80965 56 280 0.72480 0.84914 17.2% 15.6 140s
20650 5654 0.74148 105 286 0.72480 0.84914 17.2% 15.6 145s
20654 5657 0.83567 68 290 0.72480 0.84914 17.2% 15.6 151s
20657 5659 0.83019 71 298 0.72480 0.84914 17.2% 15.6 155s
20661 5661 0.80187 84 296 0.72480 0.84914 17.2% 15.6 160s
20666 5665 0.80106 69 298 0.72480 0.84914 17.2% 15.6 166s
20668 5666 0.84138 68 290 0.72480 0.84914 17.2% 15.6 170s
20671 5668 0.76479 44 299 0.72480 0.84914 17.2% 15.5 175s
20674 5670 0.81581 81 295 0.72480 0.84914 17.2% 15.5 182s
20676 5671 0.82530 78 303 0.72480 0.84914 17.2% 15.5 185s
20680 5674 0.83257 44 310 0.72480 0.84914 17.2% 15.5 192s
20682 5675 0.79661 54 307 0.72480 0.84914 17.2% 15.5 196s
20685 5677 0.82278 55 310 0.72480 0.84914 17.2% 15.5 200s
20688 5679 0.84051 63 312 0.72480 0.84914 17.2% 15.5 206s
20691 5681 0.84017 25 329 0.72480 0.84914 17.2% 15.5 210s
20694 5683 0.81669 92 321 0.72480 0.84914 17.2% 15.5 216s
20696 5685 0.83492 67 310 0.72480 0.84914 17.2% 15.5 221s
20698 5686 0.84681 59 332 0.72480 0.84914 17.2% 15.5 225s
20700 5687 0.82789 68 291 0.72480 0.84914 17.2% 15.5 230s
20704 5690 0.79985 70 309 0.72480 0.84914 17.2% 15.5 236s
20706 5691 0.83211 50 307 0.72480 0.84914 17.2% 15.5 240s
20709 5693 0.84005 81 316 0.72480 0.84914 17.2% 15.5 245s
20712 5695 0.77986 92 318 0.72480 0.84914 17.2% 15.5 253s
20713 5696 0.84524 68 320 0.72480 0.84914 17.2% 15.5 255s
20716 5698 0.80477 57 313 0.72480 0.84914 17.2% 15.5 263s
20718 5699 0.83327 64 300 0.72480 0.84914 17.2% 15.5 268s
20720 5701 0.74206 110 294 0.72480 0.84914 17.2% 15.5 272s
20722 5702 0.77975 89 292 0.72480 0.84914 17.2% 15.5 279s
20723 5703 0.84810 61 309 0.72480 0.84914 17.2% 15.5 280s
20725 5704 0.73571 100 301 0.72480 0.84914 17.2% 15.5 285s
20728 5706 0.82630 62 303 0.72480 0.84914 17.2% 15.5 292s
20730 5707 0.79620 70 304 0.72480 0.84914 17.2% 15.5 296s
20733 5709 0.78888 79 308 0.72480 0.84914 17.2% 15.5 300s
20736 5711 0.80053 72 288 0.72480 0.84914 17.2% 15.5 306s
20738 5713 0.76114 77 293 0.72480 0.84914 17.2% 15.5 311s
20741 5715 0.79765 79 305 0.72480 0.84914 17.2% 15.5 315s
20743 5716 0.79602 65 297 0.72480 0.84914 17.2% 15.5 320s
20746 5718 0.83252 73 297 0.72480 0.84914 17.2% 15.5 325s
20750 5721 0.74148 105 302 0.72480 0.84914 17.2% 15.5 330s
20754 5723 0.83567 68 307 0.72480 0.84914 17.2% 15.5 335s
20758 5726 0.76653 87 310 0.72480 0.84914 17.2% 15.5 340s
20762 5729 0.80549 66 316 0.72480 0.84914 17.2% 15.5 346s
20764 5730 0.77611 90 313 0.72480 0.84914 17.2% 15.5 350s
20767 5732 0.76163 104 322 0.72480 0.84914 17.2% 15.5 356s
20770 5734 0.76160 54 319 0.72480 0.84914 17.2% 15.5 364s
20771 5735 0.76479 44 326 0.72480 0.84914 17.2% 15.5 365s
20774 5737 0.81581 81 307 0.72480 0.84914 17.2% 15.5 372s
20776 5738 0.82530 78 313 0.72480 0.84914 17.2% 15.5 376s
20780 5741 0.83257 44 323 0.72480 0.84914 17.2% 15.5 380s
20783 5743 0.81444 59 320 0.72480 0.84914 17.2% 15.5 385s
20784 5743 0.83557 63 316 0.72480 0.84914 17.2% 15.5 390s
20787 5745 0.84725 41 328 0.72480 0.84914 17.2% 15.5 396s
20789 5747 0.78750 63 326 0.72480 0.84914 17.2% 15.5 400s
20792 5749 0.84075 63 313 0.72480 0.84914 17.2% 15.5 405s
20795 5751 0.80652 70 303 0.72480 0.84914 17.2% 15.5 410s
20798 5753 0.84681 59 325 0.72480 0.84914 17.2% 15.5 415s
20801 5755 0.79457 60 311 0.72480 0.84914 17.2% 15.5 420s
20805 5757 0.84197 57 312 0.72480 0.84914 17.2% 15.4 427s
20807 5759 0.74805 58 307 0.72480 0.84914 17.2% 15.4 432s
20810 5761 0.81889 50 300 0.72480 0.84914 17.2% 15.4 435s
20813 5763 0.84524 68 304 0.72480 0.84914 17.2% 15.4 442s
20814 5763 0.77490 53 304 0.72480 0.84914 17.2% 15.4 445s
20815 5765 0.84914 22 281 0.72480 0.84914 17.2% 19.3 455s
20817 5766 0.84914 23 285 0.72480 0.84914 17.2% 19.4 463s
20819 5766 0.84914 24 276 0.72480 0.84914 17.2% 19.4 467s
20827 5768 0.82421 26 254 0.72480 0.84914 17.2% 19.5 470s
20867 5774 0.81414 33 238 0.72480 0.84914 17.2% 19.9 475s
20889 5783 0.81096 36 234 0.72480 0.84914 17.2% 20.0 480s
20991 5797 infeasible 46 0.72480 0.84914 17.2% 20.6 485s
21288 5884 0.83234 36 249 0.72480 0.84914 17.2% 21.1 490s
21530 5923 0.76966 33 259 0.72480 0.84914 17.2% 21.8 495s
21787 5956 0.80251 39 239 0.72480 0.84747 16.9% 22.5 500s
22051 6048 0.79508 40 253 0.72480 0.84678 16.8% 23.0 505s
22293 6061 0.80152 60 223 0.72480 0.84666 16.8% 23.6 510s
22466 6048 0.82440 53 217 0.72480 0.84444 16.5% 24.3 515s
22777 6057 0.76070 50 231 0.72480 0.84193 16.2% 25.2 521s
22806 6052 0.73978 53 212 0.72480 0.84193 16.2% 25.2 526s
22991 6045 0.81962 54 202 0.72480 0.84158 16.1% 25.8 531s
23173 6074 0.77841 57 214 0.72480 0.84104 16.0% 26.3 535s
23453 6126 0.81750 54 194 0.72480 0.83883 15.7% 26.8 540s
23803 6208 0.83637 48 253 0.72480 0.83802 15.6% 27.2 545s
24009 6190 0.81988 51 233 0.72480 0.83737 15.5% 27.8 551s
24312 6217 0.78354 59 145 0.72480 0.83460 15.1% 28.5 556s
24601 6214 0.81719 43 202 0.72480 0.83273 14.9% 29.2 563s
24908 6251 cutoff 50 0.72480 0.83206 14.8% 29.4 566s
25007 6242 infeasible 48 0.72480 0.83081 14.6% 29.8 570s
25477 6309 0.76846 60 128 0.72480 0.82911 14.4% 30.4 577s
25519 6300 0.80040 34 182 0.72480 0.82809 14.3% 30.5 582s
25727 6293 0.80938 53 177 0.72480 0.82803 14.2% 30.9 586s
25989 6342 0.79817 60 162 0.72480 0.82636 14.0% 31.3 599s
25997 6336 0.79182 62 165 0.72480 0.82633 14.0% 31.4 600s
Cutting planes:
Learned: 1
Gomory: 192
Cover: 13
Implied bound: 23
Projected implied bound: 60
Clique: 3
MIR: 256
StrongCG: 4
Flow cover: 642
Flow path: 3
Inf proof: 67
Zero half: 1
Network: 1
Explored 26034 nodes (820786 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.7248 0.7248
Time limit reached
Best objective 7.248000855463e-01, best bound 8.263323709273e-01, gap 14.0083%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpakzd8_g4.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp337rz4h7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.720803
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.157775e+00, 1503 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15778 0 107 0.72080 1.15778 60.6% - 0s
0 0 1.12088 0 132 0.72080 1.12088 55.5% - 0s
0 0 1.12019 0 127 0.72080 1.12019 55.4% - 0s
0 0 1.10152 0 130 0.72080 1.10152 52.8% - 0s
0 0 1.10152 0 130 0.72080 1.10152 52.8% - 0s
0 0 1.10152 0 129 0.72080 1.10152 52.8% - 0s
0 0 1.10152 0 129 0.72080 1.10152 52.8% - 0s
0 0 1.10152 0 119 0.72080 1.10152 52.8% - 0s
0 0 1.10152 0 119 0.72080 1.10152 52.8% - 0s
0 0 1.10093 0 123 0.72080 1.10093 52.7% - 0s
0 0 1.10093 0 124 0.72080 1.10093 52.7% - 0s
0 0 1.10093 0 124 0.72080 1.10093 52.7% - 0s
0 0 1.10092 0 128 0.72080 1.10092 52.7% - 0s
0 0 1.10092 0 128 0.72080 1.10092 52.7% - 0s
0 0 1.10092 0 129 0.72080 1.10092 52.7% - 0s
0 0 1.10092 0 129 0.72080 1.10092 52.7% - 0s
0 0 1.10092 0 129 0.72080 1.10092 52.7% - 0s
0 2 1.10092 0 129 0.72080 1.10092 52.7% - 0s
743 441 0.90429 28 174 0.72080 1.01912 41.4% 15.5 5s
766 450 infeasible 19 0.72080 1.00175 39.0% 23.8 10s
1559 630 0.87583 48 164 0.72080 0.99209 37.6% 21.4 15s
3279 1299 0.82712 25 152 0.72080 0.96800 34.3% 17.8 20s
4065 1473 infeasible 42 0.72080 0.94868 31.6% 17.6 25s
6512 2272 0.78830 69 156 0.72080 0.91366 26.8% 16.3 30s
8545 2957 infeasible 54 0.72080 0.89150 23.7% 15.8 35s
11151 3816 infeasible 58 0.72080 0.87787 21.8% 14.9 40s
H12677 4197 0.7208027 0.87036 20.7% 14.8 44s
12710 4158 0.85254 64 116 0.72080 0.87036 20.7% 14.8 45s
14600 4273 infeasible 90 0.72080 0.85669 18.9% 15.0 50s
16686 4608 infeasible 81 0.72080 0.84651 17.4% 14.8 55s
18966 5076 cutoff 70 0.72080 0.83849 16.3% 14.7 60s
20669 5483 cutoff 72 0.72080 0.83343 15.6% 14.7 82s
21516 5482 infeasible 77 0.72080 0.82953 15.1% 14.9 85s
23175 5603 infeasible 77 0.72080 0.82418 14.3% 15.2 90s
24934 5809 0.73503 103 95 0.72080 0.81884 13.6% 15.4 95s
26183 5861 infeasible 76 0.72080 0.81457 13.0% 15.8 100s
28016 5962 0.78770 88 93 0.72080 0.80924 12.3% 16.3 105s
29531 6077 infeasible 83 0.72080 0.80599 11.8% 16.5 110s
30844 6120 0.75181 73 90 0.72080 0.80273 11.4% 16.7 115s
32197 6349 infeasible 73 0.72080 0.79966 10.9% 16.8 120s
33474 6388 infeasible 52 0.72080 0.79636 10.5% 17.1 125s
35108 6577 0.75778 87 69 0.72080 0.79378 10.1% 17.2 130s
36364 6688 0.73637 85 124 0.72080 0.79179 9.85% 17.3 135s
38129 6828 0.77562 95 105 0.72080 0.78854 9.40% 17.5 140s
39363 6898 infeasible 56 0.72080 0.78647 9.11% 17.7 145s
40548 6947 0.72961 97 72 0.72080 0.78367 8.72% 17.9 150s
40985 6987 cutoff 78 0.72080 0.78306 8.64% 17.9 155s
42382 7033 infeasible 102 0.72080 0.78033 8.26% 18.0 160s
43525 6930 infeasible 77 0.72080 0.77741 7.85% 18.2 165s
44652 6815 infeasible 74 0.72080 0.77453 7.45% 18.3 170s
45933 6697 infeasible 74 0.72080 0.77164 7.05% 18.5 175s
47404 6667 0.73375 83 117 0.72080 0.76890 6.67% 18.5 180s
48676 6531 infeasible 105 0.72080 0.76671 6.37% 18.6 186s
49920 6611 infeasible 87 0.72080 0.76504 6.14% 18.6 190s
51280 6487 infeasible 75 0.72080 0.76281 5.83% 18.6 195s
52863 6478 cutoff 91 0.72080 0.76098 5.57% 18.7 200s
54664 6384 0.72868 122 81 0.72080 0.75851 5.23% 18.6 206s
56279 6364 0.72813 90 85 0.72080 0.75673 4.98% 18.6 211s
57784 6258 0.74807 79 114 0.72080 0.75493 4.73% 18.6 215s
59213 6124 infeasible 67 0.72080 0.75337 4.52% 18.6 220s
60644 6013 infeasible 88 0.72080 0.75187 4.31% 18.6 225s
62071 5966 0.73668 80 112 0.72080 0.75041 4.11% 18.6 230s
63677 5888 0.74130 87 56 0.72080 0.74895 3.91% 18.5 235s
65635 5734 infeasible 95 0.72080 0.74725 3.67% 18.4 240s
67069 5423 infeasible 94 0.72080 0.74571 3.46% 18.4 245s
68734 5150 infeasible 97 0.72080 0.74413 3.24% 18.4 250s
70171 4977 infeasible 95 0.72080 0.74297 3.08% 18.3 255s
71800 4713 infeasible 92 0.72080 0.74160 2.88% 18.3 260s
73453 4463 0.73424 83 90 0.72080 0.74014 2.68% 18.3 265s
74778 4185 infeasible 106 0.72080 0.73874 2.49% 18.3 270s
76435 3765 0.73593 98 87 0.72080 0.73702 2.25% 18.2 275s
76884 3588 cutoff 103 0.72080 0.73633 2.15% 18.3 280s
78431 3177 0.73228 85 123 0.72080 0.73460 1.91% 18.2 285s
79874 2733 cutoff 86 0.72080 0.73295 1.69% 18.2 290s
81371 2117 0.73008 112 87 0.72080 0.73069 1.37% 18.2 295s
82716 1473 infeasible 84 0.72080 0.72815 1.02% 18.2 300s
Cutting planes:
Learned: 1
Gomory: 146
Cover: 5
Implied bound: 79
Projected implied bound: 36
Clique: 3
MIR: 47
Flow cover: 195
Flow path: 2
Inf proof: 485
Explored 82866 nodes (1511357 simplex iterations) in 300.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.720803 0.720803
Optimal solution found (tolerance 1.00e-02)
Best objective 7.208027235827e-01, best bound 7.277806793507e-01, gap 0.9681%
Run 4
Seed for training 288
Seed for simulation 599
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-283.01215193, 100.56992541, 181.61300046]])
fopt: 0.7168700285322384
fun: -0.7154089354861621
message: 'Optimization terminated successfully.'
nfev: 331
nit: 6
status: 0
success: True
x: array([ 81.74117207, 120.10437247, 219.144524 ])
xopt: array([ 82., 121., 220.])
zopt: array([ 82., 203., 423.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvdmsmx2b.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqs7hb6ry.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.71687
Presolve removed 845 rows and 525 columns
Presolve time: 0.05s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.097565e+00, 1617 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09756 0 157 0.71687 1.09756 53.1% - 0s
0 0 1.08303 0 183 0.71687 1.08303 51.1% - 0s
0 0 1.08231 0 188 0.71687 1.08231 51.0% - 0s
0 0 1.07855 0 186 0.71687 1.07855 50.5% - 0s
0 0 1.07006 0 196 0.71687 1.07006 49.3% - 0s
0 0 1.06700 0 212 0.71687 1.06700 48.8% - 0s
0 0 1.06515 0 209 0.71687 1.06515 48.6% - 0s
0 0 1.06438 0 219 0.71687 1.06438 48.5% - 0s
0 0 1.06435 0 219 0.71687 1.06435 48.5% - 0s
0 0 1.06411 0 221 0.71687 1.06411 48.4% - 0s
0 0 1.06411 0 221 0.71687 1.06411 48.4% - 0s
0 0 1.06399 0 219 0.71687 1.06399 48.4% - 0s
0 0 1.06399 0 219 0.71687 1.06399 48.4% - 0s
0 0 1.06383 0 221 0.71687 1.06383 48.4% - 0s
0 0 1.06382 0 221 0.71687 1.06382 48.4% - 0s
0 0 1.06382 0 219 0.71687 1.06382 48.4% - 0s
0 0 1.06382 0 185 0.71687 1.06382 48.4% - 0s
0 2 1.06382 0 184 0.71687 1.06382 48.4% - 1s
733 503 0.95498 18 191 0.71687 1.00900 40.8% 18.8 5s
780 523 0.98383 20 187 0.71687 1.00036 39.5% 27.3 10s
1673 660 0.82536 77 122 0.71687 0.98426 37.3% 26.6 15s
H 1880 659 0.7174024 0.97523 35.9% 25.6 15s
2858 932 0.92436 26 175 0.71740 0.95193 32.7% 24.1 20s
5338 1572 0.84664 50 139 0.71740 0.90188 25.7% 18.5 25s
7884 2251 infeasible 58 0.71740 0.88299 23.1% 17.0 30s
9793 2792 0.77380 59 138 0.71740 0.86731 20.9% 17.0 35s
12547 3878 0.74773 63 169 0.71740 0.86128 20.1% 16.4 40s
*14452 4563 200 0.7183997 0.85850 19.5% 15.8 42s
15103 4821 infeasible 81 0.71840 0.85745 19.4% 15.8 46s
H15104 4793 0.7198367 0.85745 19.1% 15.8 46s
16658 5310 0.83014 73 137 0.71984 0.85571 18.9% 15.8 50s
19136 6068 0.76228 115 87 0.71984 0.85275 18.5% 15.7 55s
20892 6475 0.80300 73 185 0.71984 0.84937 18.0% 16.0 86s
20901 6481 0.79738 84 263 0.71984 0.84937 18.0% 16.0 90s
20905 6484 0.80300 73 283 0.71984 0.84937 18.0% 16.0 95s
20910 6487 0.79816 73 286 0.71984 0.84937 18.0% 16.0 100s
20913 6489 0.84707 93 299 0.71984 0.84937 18.0% 16.0 105s
20916 6491 0.76493 58 298 0.71984 0.84937 18.0% 16.0 111s
20920 6494 0.78955 97 299 0.71984 0.84937 18.0% 16.0 115s
20923 6496 0.84225 63 298 0.71984 0.84937 18.0% 16.0 121s
20926 6498 0.83054 72 286 0.71984 0.84937 18.0% 16.0 126s
20929 6500 0.75606 46 298 0.71984 0.84937 18.0% 16.0 131s
20932 6502 0.83296 78 274 0.71984 0.84937 18.0% 16.0 137s
20934 6503 0.75120 76 293 0.71984 0.84937 18.0% 16.0 142s
20937 6505 0.84300 57 305 0.71984 0.84937 18.0% 16.0 145s
20941 6508 0.77897 57 304 0.71984 0.84937 18.0% 16.0 150s
20943 6509 0.82396 59 297 0.71984 0.84937 18.0% 16.0 155s
20947 6512 0.76552 58 292 0.71984 0.84937 18.0% 16.0 160s
20951 6514 0.72953 162 303 0.71984 0.84937 18.0% 16.0 165s
20953 6516 0.81813 87 299 0.71984 0.84937 18.0% 16.0 170s
20957 6518 0.77477 79 299 0.71984 0.84937 18.0% 16.0 175s
20960 6520 0.83306 53 319 0.71984 0.84937 18.0% 16.0 180s
20963 6522 0.79732 83 298 0.71984 0.84937 18.0% 16.0 186s
20965 6524 0.80927 118 302 0.71984 0.84937 18.0% 16.0 191s
20968 6526 0.79717 68 299 0.71984 0.84937 18.0% 16.0 195s
20972 6528 0.80123 109 321 0.71984 0.84937 18.0% 16.0 200s
20976 6531 0.82565 99 327 0.71984 0.84937 18.0% 16.0 206s
20979 6533 0.81102 79 326 0.71984 0.84937 18.0% 16.0 210s
20983 6536 0.75120 76 321 0.71984 0.84937 18.0% 16.0 216s
20987 6538 0.82795 59 314 0.71984 0.84937 18.0% 16.0 221s
20992 6542 0.80300 73 327 0.71984 0.84937 18.0% 16.0 225s
20996 6544 0.76899 77 322 0.71984 0.84937 18.0% 16.0 231s
20999 6546 0.74079 125 315 0.71984 0.84937 18.0% 16.0 236s
21002 6548 0.83056 67 324 0.71984 0.84937 18.0% 16.0 240s
21006 6551 0.83134 63 328 0.71984 0.84937 18.0% 16.0 246s
21009 6553 0.80989 103 331 0.71984 0.84937 18.0% 16.0 251s
21011 6554 0.74116 100 328 0.71984 0.84937 18.0% 16.0 255s
21012 6555 0.75487 172 391 0.71984 0.84937 18.0% 16.0 261s
H21012 6225 0.7204659 0.84937 17.9% 16.0 269s
21014 6226 0.74711 97 329 0.72047 0.84937 17.9% 16.0 271s
21017 6228 0.77165 54 319 0.72047 0.84937 17.9% 16.0 277s
H21019 5916 0.7204659 0.84937 17.9% 16.0 283s
21021 5917 0.84262 75 319 0.72047 0.84937 17.9% 16.0 285s
21024 5919 0.80819 49 320 0.72047 0.84937 17.9% 15.9 294s
21025 5920 0.78033 102 335 0.72047 0.84937 17.9% 15.9 295s
21027 5921 0.77943 47 323 0.72047 0.84937 17.9% 15.9 300s
21030 5923 0.82672 84 325 0.72047 0.84937 17.9% 15.9 306s
21033 5925 0.83303 54 329 0.72047 0.84937 17.9% 15.9 311s
21036 5927 0.80446 51 329 0.72047 0.84937 17.9% 15.9 318s
21037 5928 0.84300 57 329 0.72047 0.84937 17.9% 15.9 320s
21040 5930 0.77530 133 313 0.72047 0.84937 17.9% 15.9 326s
21043 5932 0.82396 59 324 0.72047 0.84937 17.9% 15.9 331s
21046 5934 0.83956 85 326 0.72047 0.84937 17.9% 15.9 336s
21049 5936 0.82526 76 326 0.72047 0.84937 17.9% 15.9 340s
21052 5938 0.76236 77 321 0.72047 0.84937 17.9% 15.9 347s
21054 5939 0.81785 76 321 0.72047 0.84937 17.9% 15.9 350s
21057 5941 0.77477 79 339 0.72047 0.84937 17.9% 15.9 355s
21060 5943 0.83306 53 339 0.72047 0.84937 17.9% 15.9 362s
21062 5944 0.78878 83 333 0.72047 0.84937 17.9% 15.9 366s
21064 5946 0.79292 109 330 0.72047 0.84937 17.9% 15.9 371s
21066 5947 0.81383 59 323 0.72047 0.84937 17.9% 15.9 375s
21069 5949 0.72587 86 347 0.72047 0.84937 17.9% 15.9 381s
21071 5950 0.72717 112 333 0.72047 0.84937 17.9% 15.9 385s
21074 5952 0.75177 123 337 0.72047 0.84937 17.9% 15.9 392s
21076 5954 0.82565 99 331 0.72047 0.84937 17.9% 15.9 397s
21078 5955 0.84147 55 345 0.72047 0.84937 17.9% 15.9 402s
21080 5956 0.82005 85 340 0.72047 0.84937 17.9% 15.9 408s
21081 5957 0.73765 85 347 0.72047 0.84937 17.9% 15.9 410s
21084 5959 0.83120 45 349 0.72047 0.84937 17.9% 15.9 417s
21086 5960 0.75679 111 349 0.72047 0.84937 17.9% 15.9 422s
21088 5962 0.76822 162 341 0.72047 0.84937 17.9% 15.9 427s
21090 5963 0.80766 103 339 0.72047 0.84937 17.9% 15.9 431s
21094 5966 0.73685 100 349 0.72047 0.84937 17.9% 15.9 436s
21096 5967 0.76899 77 348 0.72047 0.84937 17.9% 15.9 440s
21098 5968 0.81872 105 342 0.72047 0.84937 17.9% 15.9 445s
21101 5970 0.79738 84 336 0.72047 0.84937 17.9% 15.9 450s
21103 5972 0.81774 113 343 0.72047 0.84937 17.9% 15.9 455s
21107 5974 0.75757 101 351 0.72047 0.84937 17.9% 15.9 460s
21110 5976 0.79816 73 354 0.72047 0.84937 17.9% 15.9 465s
21113 5978 0.84707 93 326 0.72047 0.84937 17.9% 15.9 473s
21114 5979 0.74711 97 326 0.72047 0.84937 17.9% 15.9 476s
21115 5983 0.84937 27 319 0.72047 0.84937 17.9% 19.5 489s
21117 5982 cutoff 28 0.72047 0.84937 17.9% 19.6 502s
21136 5979 infeasible 33 0.72047 0.84937 17.9% 19.8 505s
21179 5991 0.83852 44 309 0.72047 0.84937 17.9% 20.3 511s
21197 5994 0.83608 49 281 0.72047 0.84937 17.9% 20.4 521s
21210 5993 infeasible 53 0.72047 0.84937 17.9% 21.1 529s
21223 5994 infeasible 53 0.72047 0.84937 17.9% 21.6 532s
21258 5971 0.84923 37 316 0.72047 0.84937 17.9% 22.1 535s
21314 5970 0.83578 52 291 0.72047 0.84937 17.9% 22.8 540s
21426 5974 0.84066 40 320 0.72047 0.84855 17.8% 23.8 545s
21522 5970 0.82618 47 308 0.72047 0.84855 17.8% 24.7 555s
21617 5961 infeasible 41 0.72047 0.84432 17.2% 25.7 560s
21742 5987 0.83195 53 257 0.72047 0.84340 17.1% 26.4 569s
21773 5986 0.76631 63 233 0.72047 0.84296 17.0% 27.3 571s
21904 5997 infeasible 106 0.72047 0.84081 16.7% 27.8 575s
22130 6032 0.72403 55 260 0.72047 0.83791 16.3% 28.6 580s
22216 6024 infeasible 47 0.72047 0.83540 16.0% 29.5 585s
22365 6028 0.82759 65 241 0.72047 0.83450 15.8% 30.2 591s
22611 6046 0.72302 90 152 0.72047 0.83450 15.8% 31.1 597s
22701 6029 infeasible 69 0.72047 0.83109 15.4% 31.5 600s
Cutting planes:
Learned: 1
Gomory: 215
Cover: 19
Implied bound: 38
Projected implied bound: 50
Clique: 5
MIR: 256
StrongCG: 4
Flow cover: 734
Flow path: 3
GUB cover: 1
Inf proof: 36
Zero half: 1
Explored 22800 nodes (728923 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.720466 0.720466 0.719837 ... 0.71687
Time limit reached
Best objective 7.204658658102e-01, best bound 8.301211651921e-01, gap 15.2201%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa5jk9lbs.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphtw3llz1.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.01s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.5126177e+02 1.030835e+04 0.000000e+00 0s
358 1.1475673e+01 0.000000e+00 0.000000e+00 0s
Solved in 358 iterations and 0.02 seconds
Optimal objective 1.147567255e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.18621879e-07, -1.07182427e-08, -4.82244830e-07]])
fopt: 3.076547788470454
fun: -3.085215872125686
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 23.1345761 , -1. , -87.99580146])
xopt: array([23., 0., 0.])
zopt: array([23., 23., 23.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06168525, 0.00307413, 0.00284484]])
fopt: 2.6658778583937175
fun: -2.6883178178066682
message: 'Optimization terminated successfully.'
nfev: 323
nit: 5
status: 0
success: True
x: array([43.34695954, -0.95938315, -0.99989055])
xopt: array([43., 0., 0.])
zopt: array([43., 43., 43.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.15244175, -0. , 0.16906103]])
fopt: 2.4578222929498006
fun: -2.472702354674281
message: 'Optimization terminated successfully.'
nfev: 191
nit: 2
status: 0
success: True
x: array([ 63.04992891, 1. , -66.99498684])
xopt: array([63., 1., 0.])
zopt: array([63., 64., 64.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.04657652e-02, 2.53262401e-04, -0.00000000e+00]])
fopt: 2.274807044109325
fun: -2.286127474063594
message: 'Optimization terminated successfully.'
nfev: 239
nit: 2
status: 0
success: True
x: array([83.09236159, -0.98656365, 1. ])
xopt: array([83., 0., 1.])
zopt: array([83., 83., 84.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.87832238e-03, -1.41976591e-15, -0.00000000e+00]])
fopt: 2.0449812451334073
fun: -2.0516587362434615
message: 'Optimization terminated successfully.'
nfev: 287
nit: 2
status: 0
success: True
x: array([100.1427885, 1. , 1. ])
xopt: array([100., 1., 1.])
zopt: array([100., 101., 102.])
*******************************************
Period: 6
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.64320808e-02, 1.67467182e-05, 0.00000000e+00]])
fopt: 1.679524426645905
fun: -1.6801877257796165
message: 'Optimization terminated successfully.'
nfev: 637
nit: 6
status: 0
success: True
x: array([113.95879875, 1.05191494, -1.7453867 ])
xopt: array([113., 2., 0.])
zopt: array([113., 115., 115.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.11013695e-01, -5.56276320e-05, -0.00000000e+00]])
fopt: 1.5865898527604876
fun: -1.5919153058815063
message: 'Optimization terminated successfully.'
nfev: 208
nit: 2
status: 0
success: True
x: array([133.06321575, 1.02138773, 1. ])
xopt: array([133., 1., 1.])
zopt: array([133., 134., 135.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.99150261e-02, -9.41392204e-09, -1.01286833e-05]])
fopt: 1.465958845269684
fun: -1.4666433160501546
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([152.40571624, 1.0000668 , 1.05372118])
xopt: array([152., 1., 1.])
zopt: array([152., 153., 154.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.37325618e-01, -5.65836009e-06, 1.52874982e-02]])
fopt: 1.3542798053913832
fun: -1.3559202113778057
message: 'Optimization terminated successfully.'
nfev: 252
nit: 3
status: 0
success: True
x: array([171.79393812, 1.00175443, -6.60694582])
xopt: array([171., 2., 0.])
zopt: array([171., 173., 173.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.37615720e-02, -9.96455175e-04, 9.92321280e-04]])
fopt: 1.2373244955794793
fun: -1.2380883415517436
message: 'Optimization terminated successfully.'
nfev: 230
nit: 3
status: 0
success: True
x: array([189.92102863, 3.00643237, -0.99985153])
xopt: array([189., 4., 0.])
zopt: array([189., 193., 193.])
*******************************************
Period: 11
direc: array([[3.95713115e-02, 2.05877842e-04, 4.11755689e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 1.15461743501913
fun: -1.1535069709462462
message: 'Optimization terminated successfully.'
nfev: 336
nit: 3
status: 0
success: True
x: array([193.24729464, 2.00020445, 13.67066995])
xopt: array([193., 2., 13.])
zopt: array([193., 195., 208.])
*******************************************
Period: 12
direc: array([[4.33629738e-05, 2.25512210e-07, 4.51024425e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.86170620e-05, 2.04361173e+00, 2.06404831e+00]])
fopt: 1.0788929247253405
fun: -1.0743181961693116
message: 'Optimization terminated successfully.'
nfev: 432
nit: 5
status: 0
success: True
x: array([193.28728557, 19.08686777, 19.24593745])
xopt: array([193., 19., 20.])
zopt: array([193., 212., 232.])
*******************************************
Period: 13
direc: array([[3.45070036e-04, 1.79489335e-06, 3.58978674e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.86360617e-02, 9.68022688e-05, 5.40068005e+01]])
fopt: 1.168689536693705
fun: -1.1698110190754478
message: 'Optimization terminated successfully.'
nfev: 451
nit: 4
status: 0
success: True
x: array([193.25116719, 2.0000079 , 58.00751922])
xopt: array([193., 2., 58.])
zopt: array([193., 195., 253.])
*******************************************
Period: 14
direc: array([[5.96717009e-01, 3.10914031e-03, 6.21828069e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.45554040e+00, 1.42141580e+01, 2.99169502e+01]])
fopt: 0.9655769773184669
fun: -0.9600386529489319
message: 'Optimization terminated successfully.'
nfev: 376
nit: 4
status: 0
success: True
x: array([200.8674059 , 17.23187525, 35.01667112])
xopt: array([200., 17., 36.])
zopt: array([200., 217., 253.])
*******************************************
Period: 15
direc: array([[ 1.30567143e-05, 6.79901683e-08, 1.35980338e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.83767475e-05, -2.31411103e-01, -2.22379673e-01]])
fopt: 0.8656685704655049
fun: -0.8676007411719288
message: 'Optimization terminated successfully.'
nfev: 708
nit: 7
status: 0
success: True
x: array([193.0326248 , 30.03224863, 30.01352731])
xopt: array([193., 30., 30.])
zopt: array([193., 223., 253.])
*******************************************
Period: 16
direc: array([[1.27741687e-01, 6.66874590e-04, 1.49564627e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.04901610e+00, 1.60510044e+01, 3.38053449e+01]])
fopt: 0.7991652825213116
fun: -0.7947500041701401
message: 'Optimization terminated successfully.'
nfev: 358
nit: 4
status: 0
success: True
x: array([194.99803239, 19.02115877, 39.15882233])
xopt: array([194., 19., 40.])
zopt: array([194., 213., 253.])
*******************************************
Period: 17
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.38557008e-03, 2.16774848e-05, 2.16774848e-05]])
fopt: 0.4314594296498354
fun: -0.4318019948019422
message: 'Optimization terminated successfully.'
nfev: 350
nit: 3
status: 0
success: True
x: array([249.44611249, 2.00002166, 2.00889965])
xopt: array([249., 2., 2.])
zopt: array([249., 251., 253.])
*******************************************
Period: 18
direc: array([[-6.66414173e-17, -1.25441600e-07, -3.48384156e-08],
[ 4.41717262e-08, 1.77559593e-10, 1.77559593e-10],
[-2.88074881e-08, -1.26811815e-07, 8.62642959e-01]])
fopt: 0.3721947700910887
fun: -0.3704608807909863
message: 'Optimization terminated successfully.'
nfev: 846
nit: 8
status: 0
success: True
x: array([249.7712746 , 1.07906382, 5.07889598])
xopt: array([249., 1., 6.])
zopt: array([249., 250., 256.])
*******************************************
Period: 19
direc: array([[2.66315782e-04, 1.29647393e-06, 2.59294789e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.63229709e-03, 1.49406516e+01, 2.81774015e+01]])
fopt: 1.1255878919843836
fun: -1.1245412185990922
message: 'Optimization terminated successfully.'
nfev: 526
nit: 9
status: 0
success: True
x: array([100.22523476, 93.00000033, 173.00005493])
xopt: array([100., 93., 173.])
zopt: array([100., 193., 366.])
*******************************************
Period: 20
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.05701655e-02, 1.63095610e-04, 1.95476362e-04]])
fopt: 0.2202444626697412
fun: -0.21878997482564566
message: 'Optimization terminated successfully.'
nfev: 335
nit: 3
status: 0
success: True
x: array([249.79138362, 2.00016309, 3.19873394])
xopt: array([249., 2., 4.])
zopt: array([249., 251., 255.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.11971916e-07, 8.62132080e-04]])
fopt: 0.14581910598415002
fun: -0.14601049280487977
message: 'Optimization terminated successfully.'
nfev: 612
nit: 7
status: 0
success: True
x: array([251.58085694, 1.00077557, 8.00086213])
xopt: array([251., 1., 9.])
zopt: array([251., 252., 261.])
*******************************************
Period: 22
direc: array([[-1.42706448e+01, -4.09358670e+01, 5.10345501e+01],
[-1.64874590e+00, -9.61082930e-04, -7.54292062e-03],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.31514196587799054
fun: -0.35542280643852175
message: 'Optimization terminated successfully.'
nfev: 814
nit: 10
status: 0
success: True
x: array([233.36636884, -43.46886914, 64.16544614])
xopt: array([233., 0., 65.])
zopt: array([233., 233., 298.])
*******************************************
Period: 23
direc: array([[1.85777497e-07, 7.59997710e-10, 7.47305568e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.49261487e-12, 3.06515636e-14, 4.09240175e-05]])
fopt: 0.17310321466730688
fun: -0.17234229520146332
message: 'Optimization terminated successfully.'
nfev: 527
nit: 4
status: 0
success: True
x: array([249.59643126, 2.01646218, 3.01474169])
xopt: array([249., 2., 4.])
zopt: array([249., 251., 255.])
*******************************************
Period: 24
direc: array([[-7.44377235e-08, -2.41977476e-12, -0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.1732062688769873
fun: -0.17478349685326214
message: 'Optimization terminated successfully.'
nfev: 396
nit: 3
status: 0
success: True
x: array([251.11611457, 1.00813062, 2. ])
xopt: array([251., 1., 2.])
zopt: array([251., 252., 254.])
*******************************************
Period: 25
direc: array([[-1.84309920e-08, -5.97426449e-13, -3.46813177e-17],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.21423622e-07, -4.92578507e+00, 6.00682754e+00]])
fopt: 0.3822334495537511
fun: -0.3542512617270734
message: 'Optimization terminated successfully.'
nfev: 388
nit: 5
status: 0
success: True
x: array([249.28609752, -56.53943009, 73.06385542])
xopt: array([250., 0., 74.])
zopt: array([250., 250., 324.])
*******************************************
Period: 26
direc: array([[1.93739293e-05, 7.77584245e-08, 7.77584245e-08],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.19926289412718268
fun: -0.19930796687060473
message: 'Optimization terminated successfully.'
nfev: 389
nit: 3
status: 0
success: True
x: array([250.15539312, 2.00000008, 3.04275168])
xopt: array([250., 2., 4.])
zopt: array([250., 252., 256.])
*******************************************
Period: 27
direc: array([[ 4.38894683e-08, 1.76484201e-10, 1.76484201e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.70384065e-11, -2.94160713e-03, 2.28430378e-01]])
fopt: 0.6349760616095435
fun: -0.6465749736417311
message: 'Optimization terminated successfully.'
nfev: 427
nit: 5
status: 0
success: True
x: array([248.89706819, -33.00004789, 157. ])
xopt: array([248., 0., 158.])
zopt: array([248., 248., 406.])
*******************************************
Period: 28
direc: array([[-0.97501883, 0.0210418 , 0.97597477],
[ 0. , 1. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.20449550232020075
fun: -0.2036785457992456
message: 'Optimization terminated successfully.'
nfev: 542
nit: 6
status: 0
success: True
x: array([247.02160686, 1.20147528, 7.00099811])
xopt: array([247., 1., 8.])
zopt: array([247., 248., 256.])
*******************************************
Period: 29
direc: array([[-0.13919009, 0. , 0.89531255],
[ 0. , 1. , 0. ],
[-0.57210113, 0.00807443, 0.00718751]])
fopt: 0.4472433642465645
fun: -0.44475600607068
message: 'Optimization terminated successfully.'
nfev: 625
nit: 7
status: 0
success: True
x: array([248.96773923, 3.00000695, 85.00006819])
xopt: array([248., 3., 86.])
zopt: array([248., 251., 337.])
*******************************************
Period: 30
direc: array([[-3.44040219e+00, 0.00000000e+00, 2.01695633e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.15427956e-07, 7.58702301e-06, 9.59143802e-04]])
fopt: 0.8362651052267213
fun: -0.8366095586487556
message: 'Optimization terminated successfully.'
nfev: 528
nit: 6
status: 0
success: True
x: array([189.7754446 , 3.00000752, 215.00083538])
xopt: array([189., 4., 215.])
zopt: array([189., 193., 408.])
*******************************************
Period: 31
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -36.57118459, 34.63737915]])
fopt: 0.3542030030722763
fun: -0.3194088698270859
message: 'Optimization terminated successfully.'
nfev: 274
nit: 4
status: 0
success: True
x: array([252.21471629, -59.2128169 , 61.00000853])
xopt: array([253., 0., 62.])
zopt: array([253., 253., 315.])
*******************************************
Period: 32
direc: array([[-234.33605731, 89.40862233, 78.70177128],
[ 0. , 1. , 0. ],
[ -3.71653782, 43.4337739 , 82.32525612]])
fopt: 0.9377496475994702
fun: -0.9348655752836399
message: 'Optimization terminated successfully.'
nfev: 472
nit: 7
status: 0
success: True
x: array([ 81.89855066, 146.00001527, 176. ])
xopt: array([ 81., 146., 177.])
zopt: array([ 81., 227., 404.])
*******************************************
Period: 33
direc: array([[-226.47810722, 75.08493546, 150.09467321],
[ 0. , 1. , 0. ],
[ -2.26018723, 16.55946935, 23.56400966]])
fopt: 0.9837709918448315
fun: -0.9815884233753926
message: 'Optimization terminated successfully.'
nfev: 424
nit: 6
status: 0
success: True
x: array([ 80.22702469, 113. , 211.59146934])
xopt: array([ 80., 114., 211.])
zopt: array([ 80., 194., 405.])
*******************************************
Period: 34
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-240.01195774, 83.05765005, 170.9679523 ]])
fopt: 0.9748570288333928
fun: -0.972123405000503
message: 'Optimization terminated successfully.'
nfev: 685
nit: 10
status: 0
success: True
x: array([ 82.99999247, 110. , 212.13356184])
xopt: array([ 82., 111., 212.])
zopt: array([ 82., 193., 405.])
*******************************************
Period: 35
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.47405515e+02, 1.33068578e+02, 8.87123856e+01],
[ 4.31342883e-06, 7.02211175e+01, 0.00000000e+00]])
fopt: 0.8152055269785535
fun: -0.8142986182963284
message: 'Optimization terminated successfully.'
nfev: 961
nit: 11
status: 0
success: True
x: array([ 80.00283085, 217.21952547, 95.00238888])
xopt: array([ 80., 217., 96.])
zopt: array([ 80., 297., 393.])
*******************************************
Period: 36
direc: array([[ -2.12065493, 1.01997761, 0.99 ],
[ 0. , 1. , 0. ],
[-77.03820393, 137.03933314, 0. ]])
fopt: 0.7930366465343273
fun: -0.7921714490355652
message: 'Optimization terminated successfully.'
nfev: 628
nit: 8
status: 0
success: True
x: array([ 81.0079499, 234. , 81.124018 ])
xopt: array([ 81., 234., 82.])
zopt: array([ 81., 315., 397.])
*******************************************
Period: 37
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-4.71088416, 3.00959801, 4.03152648]])
fopt: 0.9577814894912842
fun: -0.9560947922201113
message: 'Optimization terminated successfully.'
nfev: 432
nit: 7
status: 0
success: True
x: array([ 82.99997809, 110. , 208.21912796])
xopt: array([ 82., 111., 208.])
zopt: array([ 82., 193., 401.])
*******************************************
Period: 38
direc: array([[-248.66273791, 157.99089453, 318.302975 ],
[ 0. , 1. , 0. ],
[ -3.23633151, -2.98920294, -6.01078697]])
fopt: 0.8446182511468551
fun: -0.8437397087379558
message: 'Optimization terminated successfully.'
nfev: 527
nit: 8
status: 0
success: True
x: array([155.59596713, 35. , 210.01343583])
xopt: array([155., 36., 210.])
zopt: array([155., 191., 401.])
*******************************************
Period: 39
direc: array([[-1.79090746e+02, 3.74953628e+01, 7.44577025e+01],
[-6.07768793e+01, 8.11196651e+01, -7.90616934e-01],
[ 1.58465665e-06, 2.00086744e+00, -6.58184620e-07]])
fopt: 0.7636641699068505
fun: -0.7626109387178026
message: 'Optimization terminated successfully.'
nfev: 1194
nit: 14
status: 0
success: True
x: array([ 80.20202995, 234. , 80.01637395])
xopt: array([ 80., 234., 81.])
zopt: array([ 80., 314., 395.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-250.58720776, 112.84536969, 223.26366677]])
fopt: 0.8973733107973333
fun: -0.8956836907749193
message: 'Optimization terminated successfully.'
nfev: 348
nit: 5
status: 0
success: True
x: array([ 80.99996055, 109.00000001, 224.34029207])
xopt: array([ 80., 110., 224.])
zopt: array([ 80., 190., 414.])
*******************************************
Period: 41
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-150.97666019, 53.379637 , 95.72417337]])
fopt: 0.9079508672781844
fun: -0.9072343501752194
message: 'Optimization terminated successfully.'
nfev: 424
nit: 7
status: 0
success: True
x: array([ 80.00002351, 123.00000001, 193.18795052])
xopt: array([ 80., 123., 194.])
zopt: array([ 80., 203., 397.])
*******************************************
Period: 42
direc: array([[-11.4083539 , 11.0285117 , 7.35234113],
[ 0. , 1. , 0. ],
[-57.18771324, 42.30372102, 14.98980048]])
fopt: 0.8050603350719224
fun: -0.8047515877438941
message: 'Optimization terminated successfully.'
nfev: 562
nit: 8
status: 0
success: True
x: array([ 81.08741704, 198. , 117.00363906])
xopt: array([ 81., 198., 118.])
zopt: array([ 81., 279., 397.])
*******************************************
Period: 43
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-286.79587983, 114.35687412, 227.42936304]])
fopt: 0.8587194773232261
fun: -0.8588572827565604
message: 'Optimization terminated successfully.'
nfev: 432
nit: 6
status: 0
success: True
x: array([ 80.00045531, 113.00000387, 230.03034695])
xopt: array([ 80., 113., 230.])
zopt: array([ 80., 193., 423.])
*******************************************
Period: 44
direc: array([[-3.00444114e+00, 2.00024348e+00, 5.45793214e-04],
[-2.13447923e+02, 3.73767870e+01, 8.37848780e+01],
[-4.99888050e+00, 4.00048665e+00, 1.09088754e-03]])
fopt: 0.47494890117677124
fun: -0.4686796153963296
message: 'Optimization terminated successfully.'
nfev: 609
nit: 8
status: 0
success: True
x: array([136.00762553, 54. , 89.06291512])
xopt: array([137., 55., 90.])
zopt: array([137., 192., 282.])
*******************************************
Period: 45
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-275.40704349, 88.70859169, 197.0374365 ]])
fopt: 0.8432282838254107
fun: -0.841704879047331
message: 'Optimization terminated successfully.'
nfev: 315
nit: 5
status: 0
success: True
x: array([ 97.97047259, 95.02017291, 205.06660574])
xopt: array([ 97., 96., 206.])
zopt: array([ 97., 193., 399.])
*******************************************
Period: 46
direc: array([[-1.89995443e-04, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.01165605e+02, 0.00000000e+00, 2.00414693e+02]])
fopt: 0.7513530063911825
fun: -0.7510728663214381
message: 'Optimization terminated successfully.'
nfev: 583
nit: 6
status: 0
success: True
x: array([188.83069584, 4. , 208. ])
xopt: array([188., 4., 208.])
zopt: array([188., 192., 400.])
*******************************************
Period: 47
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-200.93339181, 86.97920345, 134.50541578]])
fopt: 0.8395736110129085
fun: -0.8395482548169362
message: 'Optimization terminated successfully.'
nfev: 445
nit: 7
status: 0
success: True
x: array([ 79.99999639, 115. , 210.01333165])
xopt: array([ 80., 115., 210.])
zopt: array([ 80., 195., 405.])
*******************************************
Period: 48
direc: array([[ 0. , 0. , -0. ],
[-0. , 0. , 0. ],
[-1.59060922, 0. , 1.02509983]])
fopt: 0.44108781309232886
fun: -0.43536791852546225
message: 'Optimization terminated successfully.'
nfev: 514
nit: 9
status: 0
success: True
x: array([187.38784788, 3.0317635 , 104.06305573])
xopt: array([188., 4., 105.])
zopt: array([188., 192., 297.])
*******************************************
Period: 49
direc: array([[ -1.1914705 , 2.02903799, 4.12560975],
[ 0. , 1. , 0. ],
[-290.14503171, 97.01097448, 199.82787243]])
fopt: 0.801416682264756
fun: -0.7996372158628069
message: 'Optimization terminated successfully.'
nfev: 559
nit: 7
status: 0
success: True
x: array([ 84.69206885, 108. , 217.15129022])
xopt: array([ 84., 109., 217.])
zopt: array([ 84., 193., 410.])
*******************************************
Period: 50
direc: array([[ 0.52601541, 24.13457564, 46.48634565],
[-0. , 0. , 0. ],
[ 0. , 1. , 0. ]])
fopt: 0.7290032812553203
fun: -0.7282491250650865
message: 'Optimization terminated successfully.'
nfev: 647
nit: 8
status: 0
success: True
x: array([165.17556033, 30.07606152, 202.00312832])
xopt: array([165., 30., 203.])
zopt: array([165., 195., 398.])
*******************************************
Period: 51
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.95217625e+02, 1.10603438e-09, 1.31969623e+02]])
fopt: 0.7063877563467784
fun: -0.705725636812321
message: 'Optimization terminated successfully.'
nfev: 632
nit: 7
status: 0
success: True
x: array([189.38026275, 4.05562675, 208.38012832])
xopt: array([189., 4., 208.])
zopt: array([189., 193., 401.])
*******************************************
Period: 52
direc: array([[ -10.98972165, 8.00000001, 12.00000001],
[ 0. , 1. , 0. ],
[-274.82866533, 200.05500921, 99.17903987]])
fopt: 0.7117713243674623
fun: -0.7103177197270417
message: 'Optimization terminated successfully.'
nfev: 510
nit: 7
status: 0
success: True
x: array([ 82.24205589, 195. , 123.42129724])
xopt: array([ 82., 195., 124.])
zopt: array([ 82., 277., 401.])
*******************************************
Period: 53
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-3.27688440e+00, 1.22997679e-02, 2.04568275e+00],
[-4.06719971e+01, 7.12875275e+01, 4.62193207e+01]])
fopt: 0.7559963936112767
fun: -0.7551411475252658
message: 'Optimization terminated successfully.'
nfev: 464
nit: 7
status: 0
success: True
x: array([105.74963756, 87.00009449, 209. ])
xopt: array([105., 88., 209.])
zopt: array([105., 193., 402.])
*******************************************
Period: 54
direc: array([[ -0.50926909, 1. , 1. ],
[ 0. , 0. , 1. ],
[-304.21573368, 141.28400923, 211.92601384]])
fopt: 0.7670756401095663
fun: -0.7670419639530105
message: 'Optimization terminated successfully.'
nfev: 494
nit: 7
status: 0
success: True
x: array([ 82.67674082, 123.06593197, 197.01315413])
xopt: array([ 82., 123., 198.])
zopt: array([ 82., 205., 403.])
*******************************************
Period: 55
direc: array([[ 1.38880011e-04, 1.18624105e-03, 1.18624105e-03],
[-9.99806230e-01, 1.00165495e+00, 1.65495052e-03],
[-3.06853154e+02, 3.06855079e+02, 4.78867487e-03]])
fopt: 0.5894722828129119
fun: -0.588864144176106
message: 'Optimization terminated successfully.'
nfev: 512
nit: 6
status: 0
success: True
x: array([ 80.00486632, 315.00255756, 3.01005114])
xopt: array([ 80., 315., 4.])
zopt: array([ 80., 395., 399.])
*******************************************
Period: 56
direc: array([[-8.29676690e-08, 6.58306390e-07, 6.98728068e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.07947834e+02, 3.07947836e+02, 1.05828473e-04]])
fopt: 0.5831154863028211
fun: -0.5834199153933021
message: 'Optimization terminated successfully.'
nfev: 616
nit: 7
status: 0
success: True
x: array([ 81.05154814, 316.00062613, 3.06150382])
xopt: array([ 81., 316., 3.])
zopt: array([ 81., 397., 400.])
*******************************************
Period: 57
direc: array([[ 1.13653383e-05, 6.61069419e-05, 6.61069419e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.08299698e+02, 3.08301503e+02, 1.53658614e-03]])
fopt: 0.5806603383226032
fun: -0.580727002646289
message: 'Optimization terminated successfully.'
nfev: 603
nit: 7
status: 0
success: True
x: array([ 80.63877317, 316.00008304, 3.00000004])
xopt: array([ 80., 316., 4.])
zopt: array([ 80., 396., 400.])
*******************************************
Period: 58
direc: array([[-1.17740997e-02, 1.01843915e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.06383252e+02, 2.28537496e+02, 1.52234693e+02]])
fopt: 0.6719117345416734
fun: -0.6715650091156308
message: 'Optimization terminated successfully.'
nfev: 348
nit: 5
status: 0
success: True
x: array([ 81.99981232, 199.00101496, 122.39423633])
xopt: array([ 81., 199., 123.])
zopt: array([ 81., 280., 403.])
*******************************************
Period: 59
direc: array([[-7.33318697e-02, 1.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.06946344e+02, 2.26098115e+02, 1.50732076e+02]])
fopt: 0.6603167948332845
fun: -0.6588016436559887
message: 'Optimization terminated successfully.'
nfev: 373
nit: 5
status: 0
success: True
x: array([ 83.47846003, 198.00114531, 121.65559893])
xopt: array([ 83., 198., 122.])
zopt: array([ 83., 281., 403.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr8v494bl.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpze7f61_x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [7e-02, 7e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.96966
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.07655 1.96966
Optimal solution found (tolerance 1.00e-02)
Best objective 3.076547788470e+00, best bound 3.076547788470e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptrig2amx.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxfdvlb22.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.956625
Presolve removed 93 rows and 71 columns
Presolve time: 0.00s
Presolved: 6 rows, 5 columns, 17 nonzeros
Variable types: 2 continuous, 3 integer (2 binary)
Root relaxation: objective 2.676806e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.67681 0 1 0.95662 2.67681 180% - 0s
H 0 0 2.6658779 2.67681 0.41% - 0s
Explored 1 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.66588 0.956625
Optimal solution found (tolerance 1.00e-02)
Best objective 2.665877858394e+00, best bound 2.676806458394e+00, gap 0.4099%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpalhn4uc1.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv85smdr8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.44291
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.736440e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.73644 0 3 1.44291 2.73644 89.6% - 0s
H 0 0 2.4600517 2.73644 11.2% - 0s
0 0 cutoff 0 2.46005 2.46005 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.46005 1.44291
Optimal solution found (tolerance 1.00e-02)
Best objective 2.460051675405e+00, best bound 2.460051675405e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzrgdgbec.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppf7gzas_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.60181
Presolve removed 147 rows and 104 columns
Presolve time: 0.01s
Presolved: 44 rows, 38 columns, 145 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 2.682398e+00, 21 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.68240 0 4 1.60181 2.68240 67.5% - 0s
H 0 0 2.2756431 2.68240 17.9% - 0s
0 0 cutoff 0 2.27564 2.27564 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 1
Flow path: 1
Explored 1 nodes (25 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.27564 1.60181
Optimal solution found (tolerance 1.00e-02)
Best objective 2.275643062530e+00, best bound 2.275643062530e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx_k7qe_8.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppiisdbu4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.64419
Presolve removed 121 rows and 84 columns
Presolve time: 0.00s
Presolved: 116 rows, 91 columns, 404 nonzeros
Variable types: 44 continuous, 47 integer (41 binary)
Root relaxation: objective 2.856458e+00, 71 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.85646 0 4 1.64419 2.85646 73.7% - 0s
H 0 0 2.1929152 2.85646 30.3% - 0s
0 0 cutoff 0 2.19292 2.19292 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 4
Explored 1 nodes (94 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.19292 1.64419
Optimal solution found (tolerance 1.00e-02)
Best objective 2.192915185053e+00, best bound 2.192915185053e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv266wqrg.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2p79eiuo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.76977
Presolve removed 136 rows and 91 columns
Presolve time: 0.01s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.497701e+00, 94 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.49770 0 5 1.76977 2.49770 41.1% - 0s
H 0 0 1.8970547 2.49770 31.7% - 0s
0 0 1.90676 0 1 1.89705 1.90676 0.51% - 0s
Cutting planes:
Gomory: 5
Flow cover: 5
Explored 1 nodes (128 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.89705 1.76977
Optimal solution found (tolerance 1.00e-02)
Best objective 1.897054741487e+00, best bound 1.906759934345e+00, gap 0.5116%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp37u8dnwi.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmnc9q7rt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.53196
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.629042e+00, 122 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.62904 0 8 1.53196 2.62904 71.6% - 0s
H 0 0 1.8924070 2.62904 38.9% - 0s
0 0 2.34871 0 12 1.89241 2.34871 24.1% - 0s
0 0 2.34871 0 12 1.89241 2.34871 24.1% - 0s
0 0 2.06981 0 5 1.89241 2.06981 9.37% - 0s
0 0 2.04861 0 6 1.89241 2.04861 8.25% - 0s
0 0 2.04861 0 6 1.89241 2.04861 8.25% - 0s
0 2 2.04861 0 6 1.89241 2.04861 8.25% - 0s
Cutting planes:
Gomory: 8
Implied bound: 4
MIR: 1
Flow cover: 11
Explored 7 nodes (231 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.89241 1.53196
Optimal solution found (tolerance 1.00e-02)
Best objective 1.892406963649e+00, best bound 1.892407370481e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp30ahdpz.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3bthd0az.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.55357
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.562105e+00, 145 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.56210 0 9 1.55357 2.56210 64.9% - 0s
H 0 0 1.6550464 2.56210 54.8% - 0s
0 0 2.17925 0 16 1.65505 2.17925 31.7% - 0s
0 0 2.17856 0 16 1.65505 2.17856 31.6% - 0s
0 0 2.03701 0 7 1.65505 2.03701 23.1% - 0s
H 0 0 1.8334881 2.03701 11.1% - 0s
0 0 2.03690 0 7 1.83349 2.03690 11.1% - 0s
0 0 2.03690 0 7 1.83349 2.03690 11.1% - 0s
0 0 2.03690 0 7 1.83349 2.03690 11.1% - 0s
0 0 2.03690 0 3 1.83349 2.03690 11.1% - 0s
0 0 2.03000 0 4 1.83349 2.03000 10.7% - 0s
0 0 2.02598 0 5 1.83349 2.02598 10.5% - 0s
0 0 2.02573 0 5 1.83349 2.02573 10.5% - 0s
0 0 2.02573 0 5 1.83349 2.02573 10.5% - 0s
0 2 2.02573 0 5 1.83349 2.02573 10.5% - 0s
Cutting planes:
Gomory: 7
Implied bound: 1
MIR: 2
Flow cover: 6
Explored 7 nodes (382 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.83349 1.65505 1.55357
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.7142e-06) exceeds tolerance
Best objective 1.833488084041e+00, best bound 1.836105936734e+00, gap 0.1428%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpblory9qg.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5fu9cyty.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.5408
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.495063e+00, 165 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.49506 0 12 1.54080 2.49506 61.9% - 0s
H 0 0 1.7755802 2.49506 40.5% - 0s
0 0 2.06508 0 21 1.77558 2.06508 16.3% - 0s
0 0 1.99836 0 12 1.77558 1.99836 12.5% - 0s
0 0 1.99811 0 12 1.77558 1.99811 12.5% - 0s
0 0 1.99811 0 12 1.77558 1.99811 12.5% - 0s
H 0 0 1.7755802 1.99811 12.5% - 0s
0 2 1.99811 0 12 1.77558 1.99811 12.5% - 0s
Cutting planes:
Gomory: 9
Implied bound: 4
MIR: 4
Flow cover: 16
Inf proof: 1
Explored 69 nodes (670 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.77558 1.77558 1.5408
Optimal solution found (tolerance 1.00e-02)
Best objective 1.775580214927e+00, best bound 1.775580214927e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnh2ko716.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4mu5fbi3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51698
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.426038e+00, 192 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.42604 0 15 1.51698 2.42604 59.9% - 0s
H 0 0 1.7112196 2.42604 41.8% - 0s
0 0 1.99034 0 19 1.71122 1.99034 16.3% - 0s
0 0 1.98979 0 19 1.71122 1.98979 16.3% - 0s
0 0 1.94635 0 18 1.71122 1.94635 13.7% - 0s
0 0 1.93987 0 20 1.71122 1.93987 13.4% - 0s
0 0 1.93966 0 20 1.71122 1.93966 13.3% - 0s
0 0 1.93925 0 22 1.71122 1.93925 13.3% - 0s
0 0 1.93881 0 21 1.71122 1.93881 13.3% - 0s
0 0 1.93728 0 20 1.71122 1.93728 13.2% - 0s
0 0 1.93728 0 20 1.71122 1.93728 13.2% - 0s
0 2 1.93728 0 20 1.71122 1.93728 13.2% - 0s
Cutting planes:
Gomory: 5
Implied bound: 4
MIR: 3
Flow cover: 22
Explored 9 nodes (449 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.71122 1.51698
Optimal solution found (tolerance 1.00e-02)
Best objective 1.711219602261e+00, best bound 1.726643787749e+00, gap 0.9014%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpij0h7bb7.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpddn59jxy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51584
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.292136e+00, 226 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29214 0 16 1.51584 2.29214 51.2% - 0s
H 0 0 1.6102528 2.29214 42.3% - 0s
0 0 1.86614 0 21 1.61025 1.86614 15.9% - 0s
0 0 1.86564 0 21 1.61025 1.86564 15.9% - 0s
0 0 1.82404 0 18 1.61025 1.82404 13.3% - 0s
0 0 1.82371 0 18 1.61025 1.82371 13.3% - 0s
0 0 1.82371 0 19 1.61025 1.82371 13.3% - 0s
0 0 1.82306 0 20 1.61025 1.82306 13.2% - 0s
0 0 1.82306 0 21 1.61025 1.82306 13.2% - 0s
0 0 1.82301 0 20 1.61025 1.82301 13.2% - 0s
0 0 1.82301 0 20 1.61025 1.82301 13.2% - 0s
0 2 1.82301 0 20 1.61025 1.82301 13.2% - 0s
Cutting planes:
Gomory: 10
Implied bound: 4
MIR: 3
Flow cover: 19
Explored 106 nodes (876 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.61025 1.51584
Optimal solution found (tolerance 1.00e-02)
Best objective 1.610252830282e+00, best bound 1.610252830282e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxrr4xxoo.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeup1hunv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43935
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.228249e+00, 239 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22825 0 20 1.43935 2.22825 54.8% - 0s
H 0 0 1.4617755 2.22825 52.4% - 0s
0 0 1.81189 0 33 1.46178 1.81189 24.0% - 0s
0 0 1.81189 0 33 1.46178 1.81189 24.0% - 0s
0 0 1.81101 0 33 1.46178 1.81101 23.9% - 0s
0 0 1.81101 0 33 1.46178 1.81101 23.9% - 0s
0 2 1.81101 0 33 1.46178 1.81101 23.9% - 0s
H 65 35 1.4617755 1.74509 19.4% 5.7 0s
* 74 23 25 1.5739682 1.74485 10.9% 6.2 0s
Cutting planes:
Gomory: 9
Implied bound: 6
MIR: 2
Flow cover: 17
Explored 106 nodes (1023 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.57397 1.46178 1.46178 1.43935
Optimal solution found (tolerance 1.00e-02)
Best objective 1.573968156347e+00, best bound 1.573968156347e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb61qnubm.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3ywzvo33.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.38471
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.296212e+00, 288 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29621 0 23 1.38471 2.29621 65.8% - 0s
0 0 1.87825 0 30 1.38471 1.87825 35.6% - 0s
0 0 1.87453 0 31 1.38471 1.87453 35.4% - 0s
0 0 1.87262 0 33 1.38471 1.87262 35.2% - 0s
0 0 1.87262 0 34 1.38471 1.87262 35.2% - 0s
0 0 1.87262 0 34 1.38471 1.87262 35.2% - 0s
0 2 1.87262 0 33 1.38471 1.87262 35.2% - 0s
* 68 35 28 1.5445260 1.73573 12.4% 4.8 0s
* 253 46 23 1.5446539 1.62935 5.48% 5.1 0s
* 393 33 30 1.5452713 1.61321 4.40% 5.3 0s
* 455 0 29 1.5511670 1.59661 2.93% 5.2 0s
Cutting planes:
Gomory: 10
Implied bound: 7
MIR: 5
Flow cover: 17
Inf proof: 2
Explored 506 nodes (3090 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.55117 1.54527 1.54465 ... 1.38471
Optimal solution found (tolerance 1.00e-02)
Best objective 1.551166966463e+00, best bound 1.551166966463e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9x4kwcqm.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj757g7az.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43171
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.129857e+00, 325 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12986 0 24 1.43171 2.12986 48.8% - 0s
0 0 1.72993 0 33 1.43171 1.72993 20.8% - 0s
0 0 1.72215 0 33 1.43171 1.72215 20.3% - 0s
0 0 1.71664 0 40 1.43171 1.71664 19.9% - 0s
0 0 1.71620 0 40 1.43171 1.71620 19.9% - 0s
0 0 1.71620 0 40 1.43171 1.71620 19.9% - 0s
0 0 1.71591 0 41 1.43171 1.71591 19.9% - 0s
0 0 1.71591 0 41 1.43171 1.71591 19.9% - 0s
0 2 1.71591 0 41 1.43171 1.71591 19.9% - 0s
Cutting planes:
Gomory: 16
Cover: 2
Implied bound: 9
MIR: 4
Flow cover: 21
Explored 368 nodes (2647 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.43171
Optimal solution found (tolerance 1.00e-02)
Best objective 1.431705526009e+00, best bound 1.431705526009e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkjwxosg6.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi3ge0f6u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30288
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.063824e+00, 329 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06382 0 31 1.30288 2.06382 58.4% - 0s
0 0 1.66973 0 31 1.30288 1.66973 28.2% - 0s
0 0 1.66936 0 31 1.30288 1.66936 28.1% - 0s
0 0 1.66519 0 32 1.30288 1.66519 27.8% - 0s
0 0 1.66184 0 35 1.30288 1.66184 27.6% - 0s
0 0 1.66148 0 35 1.30288 1.66148 27.5% - 0s
0 0 1.66131 0 36 1.30288 1.66131 27.5% - 0s
0 0 1.66101 0 37 1.30288 1.66101 27.5% - 0s
0 0 1.66101 0 37 1.30288 1.66101 27.5% - 0s
0 2 1.66101 0 37 1.30288 1.66101 27.5% - 0s
* 835 118 34 1.3281392 1.46925 10.6% 6.8 0s
Cutting planes:
Gomory: 18
Cover: 6
Implied bound: 14
MIR: 5
Flow cover: 25
Inf proof: 16
Explored 1619 nodes (11711 simplex iterations) in 0.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32814 1.30288
Optimal solution found (tolerance 1.00e-02)
Best objective 1.328139228714e+00, best bound 1.336590006178e+00, gap 0.6363%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0st7ef3h.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi5b_oo40.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21195
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.144618e+00, 418 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14462 0 34 1.21195 2.14462 77.0% - 0s
0 0 1.75929 0 30 1.21195 1.75929 45.2% - 0s
0 0 1.75894 0 30 1.21195 1.75894 45.1% - 0s
0 0 1.75464 0 39 1.21195 1.75464 44.8% - 0s
0 0 1.75088 0 40 1.21195 1.75088 44.5% - 0s
0 0 1.74270 0 39 1.21195 1.74270 43.8% - 0s
0 0 1.74270 0 39 1.21195 1.74270 43.8% - 0s
0 0 1.74088 0 39 1.21195 1.74088 43.6% - 0s
0 0 1.74088 0 37 1.21195 1.74088 43.6% - 0s
0 2 1.74088 0 37 1.21195 1.74088 43.6% - 0s
* 575 212 41 1.3100651 1.57170 20.0% 6.8 0s
* 1696 31 37 1.3129732 1.34940 2.77% 7.3 1s
Cutting planes:
Gomory: 15
Cover: 6
Implied bound: 22
MIR: 3
Flow cover: 31
Inf proof: 28
Explored 1783 nodes (13347 simplex iterations) in 1.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31297 1.31007 1.21195
Optimal solution found (tolerance 1.00e-02)
Best objective 1.312973186263e+00, best bound 1.312973186263e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfnkuuotd.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph6auxe0d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19016
Presolve removed 286 rows and 181 columns
Presolve time: 0.02s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.106813e+00, 446 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10681 0 37 1.19016 2.10681 77.0% - 0s
0 0 1.73542 0 35 1.19016 1.73542 45.8% - 0s
0 0 1.73542 0 35 1.19016 1.73542 45.8% - 0s
0 0 1.73256 0 40 1.19016 1.73256 45.6% - 0s
0 0 1.72973 0 42 1.19016 1.72973 45.3% - 0s
0 0 1.72772 0 39 1.19016 1.72772 45.2% - 0s
0 0 1.72524 0 37 1.19016 1.72524 45.0% - 0s
0 0 1.72524 0 37 1.19016 1.72524 45.0% - 0s
0 0 1.72524 0 37 1.19016 1.72524 45.0% - 0s
0 2 1.72524 0 37 1.19016 1.72524 45.0% - 0s
H 1058 239 1.2837479 1.50893 17.5% 8.0 0s
* 1071 234 49 1.2872847 1.50893 17.2% 8.0 0s
Cutting planes:
Gomory: 16
Cover: 11
Implied bound: 21
MIR: 7
Flow cover: 32
Inf proof: 25
Explored 1773 nodes (14330 simplex iterations) in 1.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.28728 1.28375 1.19016
Optimal solution found (tolerance 1.00e-02)
Best objective 1.287284735157e+00, best bound 1.287284735157e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp03z_1vh3.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpelma7_jn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19072
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.014261e+00, 482 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01426 0 41 1.19072 2.01426 69.2% - 0s
0 0 1.65434 0 40 1.19072 1.65434 38.9% - 0s
0 0 1.65434 0 40 1.19072 1.65434 38.9% - 0s
0 0 1.65131 0 41 1.19072 1.65131 38.7% - 0s
0 0 1.64992 0 42 1.19072 1.64992 38.6% - 0s
0 0 1.64855 0 44 1.19072 1.64855 38.4% - 0s
0 0 1.64496 0 43 1.19072 1.64496 38.1% - 0s
0 0 1.64496 0 43 1.19072 1.64496 38.1% - 0s
0 0 1.63976 0 42 1.19072 1.63976 37.7% - 0s
0 0 1.63972 0 43 1.19072 1.63972 37.7% - 0s
0 0 1.63972 0 43 1.19072 1.63972 37.7% - 0s
0 2 1.63972 0 43 1.19072 1.63972 37.7% - 0s
* 1145 339 46 1.1924776 1.42779 19.7% 7.4 0s
* 2227 203 44 1.2248287 1.31654 7.49% 7.7 1s
* 2305 123 41 1.2278878 1.29259 5.27% 7.8 1s
Cutting planes:
Gomory: 15
Cover: 6
Implied bound: 36
MIR: 5
Flow cover: 32
Inf proof: 32
Explored 2495 nodes (19831 simplex iterations) in 1.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.22789 1.22483 1.19248 1.19072
Optimal solution found (tolerance 1.00e-02)
Best objective 1.227887772551e+00, best bound 1.227887772551e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcxkilx92.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu1txuoll.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13096
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 2.001672e+00, 552 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.00167 0 44 1.13096 2.00167 77.0% - 0s
0 0 1.65158 0 43 1.13096 1.65158 46.0% - 0s
0 0 1.65129 0 43 1.13096 1.65129 46.0% - 0s
0 0 1.65129 0 42 1.13096 1.65129 46.0% - 0s
0 0 1.64823 0 48 1.13096 1.64823 45.7% - 0s
0 0 1.64684 0 48 1.13096 1.64684 45.6% - 0s
0 0 1.64201 0 52 1.13096 1.64201 45.2% - 0s
0 0 1.64119 0 51 1.13096 1.64119 45.1% - 0s
0 0 1.64119 0 51 1.13096 1.64119 45.1% - 0s
0 0 1.63592 0 53 1.13096 1.63592 44.6% - 0s
0 0 1.63555 0 54 1.13096 1.63555 44.6% - 0s
0 0 1.63547 0 56 1.13096 1.63547 44.6% - 0s
0 0 1.63547 0 55 1.13096 1.63547 44.6% - 0s
0 2 1.63547 0 55 1.13096 1.63547 44.6% - 0s
* 1515 453 53 1.1417242 1.38402 21.2% 8.5 2s
* 1814 334 50 1.1665300 1.32937 14.0% 8.6 3s
* 2079 220 46 1.1763850 1.30279 10.7% 8.4 3s
* 2303 142 45 1.1769104 1.27835 8.62% 8.4 3s
* 2498 42 47 1.2026501 1.24139 3.22% 8.2 3s
* 2593 2 51 1.2033184 1.23332 2.49% 8.1 3s
Cutting planes:
Gomory: 49
Cover: 8
Implied bound: 17
Projected implied bound: 11
MIR: 9
Flow cover: 35
Flow path: 1
Inf proof: 14
Explored 2622 nodes (21857 simplex iterations) in 3.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.20332 1.20265 1.17691 ... 1.13096
Optimal solution found (tolerance 1.00e-02)
Best objective 1.203318406280e+00, best bound 1.204012244572e+00, gap 0.0577%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw0f0bqfb.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvqe6xmo1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11079
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.939529e+00, 505 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93953 0 49 1.11079 1.93953 74.6% - 0s
0 0 1.59651 0 49 1.11079 1.59651 43.7% - 0s
0 0 1.59624 0 48 1.11079 1.59624 43.7% - 0s
0 0 1.59624 0 47 1.11079 1.59624 43.7% - 0s
0 0 1.59252 0 60 1.11079 1.59252 43.4% - 0s
0 0 1.59009 0 59 1.11079 1.59009 43.1% - 0s
0 0 1.58431 0 55 1.11079 1.58431 42.6% - 0s
0 0 1.58173 0 55 1.11079 1.58173 42.4% - 0s
0 0 1.57740 0 54 1.11079 1.57740 42.0% - 0s
0 0 1.57740 0 54 1.11079 1.57740 42.0% - 0s
0 0 1.57592 0 54 1.11079 1.57592 41.9% - 0s
0 0 1.57592 0 52 1.11079 1.57592 41.9% - 0s
0 2 1.57592 0 52 1.11079 1.57592 41.9% - 0s
* 2014 497 58 1.1226178 1.31646 17.3% 8.6 2s
H 2225 425 1.1540251 1.31246 13.7% 8.6 3s
* 2227 398 51 1.1540251 1.29502 12.2% 8.6 3s
* 2484 252 49 1.1548321 1.22491 6.07% 8.8 3s
Cutting planes:
Learned: 1
Gomory: 43
Cover: 2
Implied bound: 7
Projected implied bound: 10
Clique: 3
MIR: 10
Flow cover: 36
Flow path: 1
Inf proof: 12
Explored 2652 nodes (24296 simplex iterations) in 3.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.15483 1.15403 1.15403 ... 1.11079
Optimal solution found (tolerance 1.00e-02)
Best objective 1.154832077628e+00, best bound 1.154832077628e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo4r9c3l4.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpujm5wue6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06878
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.896664e+00, 603 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89666 0 54 1.06878 1.89666 77.5% - 0s
0 0 1.55113 0 54 1.06878 1.55113 45.1% - 0s
0 0 1.55113 0 54 1.06878 1.55113 45.1% - 0s
0 0 1.54822 0 59 1.06878 1.54822 44.9% - 0s
0 0 1.54686 0 59 1.06878 1.54686 44.7% - 0s
0 0 1.54478 0 64 1.06878 1.54478 44.5% - 0s
0 0 1.54405 0 63 1.06878 1.54405 44.5% - 0s
0 0 1.54317 0 65 1.06878 1.54317 44.4% - 0s
0 0 1.54238 0 70 1.06878 1.54238 44.3% - 0s
0 0 1.54210 0 70 1.06878 1.54210 44.3% - 0s
0 0 1.53951 0 70 1.06878 1.53951 44.0% - 0s
0 0 1.53508 0 69 1.06878 1.53508 43.6% - 0s
0 0 1.53508 0 70 1.06878 1.53508 43.6% - 0s
0 0 1.53508 0 68 1.06878 1.53508 43.6% - 0s
0 2 1.53508 0 68 1.06878 1.53508 43.6% - 0s
H 1765 545 1.1152457 1.32407 18.7% 8.7 3s
* 2486 317 61 1.1160917 1.22222 9.51% 9.7 4s
Cutting planes:
Learned: 1
Gomory: 44
Cover: 5
Implied bound: 14
Projected implied bound: 16
Clique: 6
MIR: 12
Flow cover: 47
Flow path: 1
Inf proof: 19
Explored 2781 nodes (27881 simplex iterations) in 4.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.11609 1.11525 1.06878
Optimal solution found (tolerance 1.00e-02)
Best objective 1.116091655427e+00, best bound 1.116091655427e+00, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmporjvarvu.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp00l5u6fh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10034
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.826840e+00, 645 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82684 0 56 1.10034 1.82684 66.0% - 0s
0 0 1.51362 0 51 1.10034 1.51362 37.6% - 0s
0 0 1.51337 0 50 1.10034 1.51337 37.5% - 0s
0 0 1.51135 0 53 1.10034 1.51135 37.4% - 0s
0 0 1.51035 0 53 1.10034 1.51035 37.3% - 0s
0 0 1.50752 0 58 1.10034 1.50752 37.0% - 0s
0 0 1.50694 0 61 1.10034 1.50694 37.0% - 0s
0 0 1.50694 0 61 1.10034 1.50694 37.0% - 0s
0 0 1.50314 0 59 1.10034 1.50314 36.6% - 0s
0 0 1.50310 0 61 1.10034 1.50310 36.6% - 0s
0 0 1.50307 0 63 1.10034 1.50307 36.6% - 0s
0 0 1.50307 0 61 1.10034 1.50307 36.6% - 0s
0 2 1.50307 0 61 1.10034 1.50307 36.6% - 0s
* 2313 203 72 1.1026538 1.21270 10.0% 9.8 3s
* 2341 203 64 1.1038848 1.21270 9.86% 9.8 3s
* 2557 123 65 1.1048319 1.18238 7.02% 9.4 3s
* 2693 101 62 1.1056668 1.15845 4.77% 9.3 3s
* 2841 73 65 1.1066419 1.15034 3.95% 9.2 3s
* 2891 35 64 1.1069570 1.14953 3.85% 9.2 4s
* 2921 39 65 1.1077799 1.14876 3.70% 9.1 4s
Cutting planes:
Gomory: 47
Cover: 4
Implied bound: 22
Projected implied bound: 8
Clique: 2
MIR: 7
Flow cover: 27
Flow path: 1
Inf proof: 18
Explored 3041 nodes (28329 simplex iterations) in 4.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.10778 1.10696 1.10664 ... 1.10034
Optimal solution found (tolerance 1.00e-02)
Best objective 1.107779923902e+00, best bound 1.112136327924e+00, gap 0.3933%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvalqrlax.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9_qvi5ak.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08159
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.744628e+00, 597 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74463 0 55 1.08159 1.74463 61.3% - 0s
0 0 1.47916 0 50 1.08159 1.47916 36.8% - 0s
0 0 1.47892 0 50 1.08159 1.47892 36.7% - 0s
0 0 1.47747 0 61 1.08159 1.47747 36.6% - 0s
0 0 1.47747 0 56 1.08159 1.47747 36.6% - 0s
0 2 1.47747 0 54 1.08159 1.47747 36.6% - 0s
* 1810 667 71 1.0824395 1.28165 18.4% 11.0 3s
2591 429 cutoff 42 1.08244 1.19463 10.4% 11.9 5s
H 2994 91 1.0832925 1.11268 2.71% 11.8 5s
Cutting planes:
Learned: 3
Gomory: 36
Cover: 3
Implied bound: 15
Projected implied bound: 10
Clique: 3
MIR: 11
Flow cover: 51
Flow path: 2
Inf proof: 23
Explored 3060 nodes (36556 simplex iterations) in 5.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.08329 1.08244 1.08159
Optimal solution found (tolerance 1.00e-02)
Best objective 1.083292478677e+00, best bound 1.083659800976e+00, gap 0.0339%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnmet6ic9.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_mpfh0jf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07255
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.732709e+00, 646 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73271 0 56 1.07255 1.73271 61.5% - 0s
0 0 1.67204 0 62 1.07255 1.67204 55.9% - 0s
0 0 1.67181 0 62 1.07255 1.67181 55.9% - 0s
0 0 1.52648 0 55 1.07255 1.52648 42.3% - 0s
0 0 1.52551 0 57 1.07255 1.52551 42.2% - 0s
0 0 1.52195 0 58 1.07255 1.52195 41.9% - 0s
0 0 1.51702 0 58 1.07255 1.51702 41.4% - 0s
0 0 1.51685 0 58 1.07255 1.51685 41.4% - 0s
0 0 1.51674 0 61 1.07255 1.51674 41.4% - 0s
0 0 1.51674 0 57 1.07255 1.51674 41.4% - 0s
0 2 1.51674 0 57 1.07255 1.51674 41.4% - 0s
* 1206 425 77 1.0750748 1.30871 21.7% 10.9 3s
* 2792 336 70 1.0755217 1.16689 8.49% 9.8 4s
2890 306 cutoff 40 1.07552 1.15867 7.73% 9.8 5s
Cutting planes:
Gomory: 29
Cover: 8
Implied bound: 22
Projected implied bound: 14
Clique: 2
MIR: 11
Flow cover: 47
Flow path: 1
Inf proof: 28
Explored 3821 nodes (35948 simplex iterations) in 5.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07552 1.07507 1.07255
Optimal solution found (tolerance 1.00e-02)
Best objective 1.075521683142e+00, best bound 1.075521683142e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkd99kuoh.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfby_wep7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07126
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.699765e+00, 746 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69976 0 58 1.07126 1.69976 58.7% - 0s
0 0 1.63501 0 63 1.07126 1.63501 52.6% - 0s
0 0 1.63479 0 63 1.07126 1.63479 52.6% - 0s
0 0 1.51591 0 59 1.07126 1.51591 41.5% - 0s
0 0 1.51501 0 61 1.07126 1.51501 41.4% - 0s
0 0 1.51177 0 68 1.07126 1.51177 41.1% - 0s
0 0 1.51099 0 65 1.07126 1.51099 41.0% - 0s
0 0 1.50653 0 67 1.07126 1.50653 40.6% - 0s
0 0 1.50641 0 66 1.07126 1.50641 40.6% - 0s
0 0 1.50636 0 66 1.07126 1.50636 40.6% - 0s
0 0 1.50636 0 64 1.07126 1.50636 40.6% - 0s
0 2 1.50636 0 62 1.07126 1.50636 40.6% - 0s
2889 724 cutoff 40 1.07126 1.30267 21.6% 11.4 5s
* 3947 604 70 1.0747491 1.24378 15.7% 11.6 6s
* 4541 640 60 1.0762475 1.20501 12.0% 11.3 6s
H 4557 631 1.0771637 1.20097 11.5% 11.4 7s
H 4595 643 1.0771637 1.19982 11.4% 11.3 7s
Cutting planes:
Learned: 3
Gomory: 36
Cover: 10
Implied bound: 20
Projected implied bound: 13
Clique: 1
MIR: 12
StrongCG: 1
Flow cover: 54
Flow path: 1
Inf proof: 53
Explored 5637 nodes (62269 simplex iterations) in 8.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.07716 1.07716 1.07625 ... 1.07126
Optimal solution found (tolerance 1.00e-02)
Best objective 1.077163726202e+00, best bound 1.086379482292e+00, gap 0.8556%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsi74lvaq.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_9pv58_n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07411
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.722413e+00, 823 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72241 0 59 1.07411 1.72241 60.4% - 0s
0 0 1.62977 0 64 1.07411 1.62977 51.7% - 0s
0 0 1.62955 0 64 1.07411 1.62955 51.7% - 0s
0 0 1.51586 0 67 1.07411 1.51586 41.1% - 0s
0 0 1.51496 0 69 1.07411 1.51496 41.0% - 0s
0 0 1.51153 0 69 1.07411 1.51153 40.7% - 0s
0 0 1.50791 0 69 1.07411 1.50791 40.4% - 0s
0 0 1.50791 0 69 1.07411 1.50791 40.4% - 0s
0 0 1.50788 0 69 1.07411 1.50788 40.4% - 0s
0 0 1.50783 0 69 1.07411 1.50783 40.4% - 0s
0 0 1.50783 0 59 1.07411 1.50783 40.4% - 0s
0 2 1.50783 0 59 1.07411 1.50783 40.4% - 0s
2593 532 1.11165 50 33 1.07411 1.21865 13.5% 10.7 5s
* 2938 554 77 1.0746187 1.18773 10.5% 10.3 5s
H 3356 637 1.0746187 1.16188 8.12% 10.0 5s
Cutting planes:
Gomory: 61
Cover: 4
Implied bound: 14
Projected implied bound: 14
Clique: 1
MIR: 8
Flow cover: 47
Inf proof: 43
Explored 5091 nodes (48478 simplex iterations) in 7.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07462 1.07462 1.07411
Optimal solution found (tolerance 1.00e-02)
Best objective 1.074618686720e+00, best bound 1.084895988510e+00, gap 0.9564%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0jge00fk.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdcu9p1hy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05606
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.682118e+00, 798 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68212 0 62 1.05606 1.68212 59.3% - 0s
0 0 1.60652 0 68 1.05606 1.60652 52.1% - 0s
0 0 1.60631 0 68 1.05606 1.60631 52.1% - 0s
0 0 1.49918 0 65 1.05606 1.49918 42.0% - 0s
0 0 1.49918 0 66 1.05606 1.49918 42.0% - 0s
0 0 1.49591 0 69 1.05606 1.49591 41.7% - 0s
0 0 1.49459 0 69 1.05606 1.49459 41.5% - 0s
0 0 1.48979 0 70 1.05606 1.48979 41.1% - 0s
0 0 1.48979 0 70 1.05606 1.48979 41.1% - 0s
0 0 1.48963 0 70 1.05606 1.48963 41.1% - 0s
0 0 1.48963 0 63 1.05606 1.48963 41.1% - 0s
0 2 1.48963 0 63 1.05606 1.48963 41.1% - 0s
* 1143 469 95 1.0564054 1.29847 22.9% 11.8 3s
2265 441 1.14137 54 35 1.05641 1.20622 14.2% 10.3 5s
* 5211 196 74 1.0566845 1.08689 2.86% 9.0 7s
Cutting planes:
Learned: 3
Gomory: 52
Cover: 3
Implied bound: 29
Projected implied bound: 30
Clique: 2
MIR: 12
Flow cover: 42
Inf proof: 51
Explored 5459 nodes (50248 simplex iterations) in 8.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.05668 1.05641 1.05606
Optimal solution found (tolerance 1.00e-02)
Best objective 1.056684474581e+00, best bound 1.061162763105e+00, gap 0.4238%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8zu56z3n.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0qi8cue4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02828
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.620380e+00, 798 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62038 0 63 1.02828 1.62038 57.6% - 0s
0 0 1.55582 0 70 1.02828 1.55582 51.3% - 0s
0 0 1.55562 0 70 1.02828 1.55562 51.3% - 0s
0 0 1.45917 0 68 1.02828 1.45917 41.9% - 0s
0 0 1.45910 0 65 1.02828 1.45910 41.9% - 0s
0 0 1.45813 0 72 1.02828 1.45813 41.8% - 0s
0 0 1.45655 0 69 1.02828 1.45655 41.6% - 0s
0 0 1.45519 0 79 1.02828 1.45519 41.5% - 0s
0 0 1.45513 0 78 1.02828 1.45513 41.5% - 0s
0 0 1.45456 0 74 1.02828 1.45456 41.5% - 0s
0 0 1.45416 0 74 1.02828 1.45416 41.4% - 0s
0 0 1.45405 0 74 1.02828 1.45405 41.4% - 0s
0 0 1.45405 0 66 1.02828 1.45405 41.4% - 0s
0 2 1.45405 0 66 1.02828 1.45405 41.4% - 0s
* 1226 442 107 1.0288325 1.25028 21.5% 12.6 3s
2444 457 1.03474 59 36 1.02883 1.15837 12.6% 11.0 5s
* 2550 481 96 1.0299109 1.15610 12.3% 10.9 5s
* 3568 569 90 1.0299210 1.09339 6.16% 9.8 6s
* 4226 637 95 1.0311372 1.06353 3.14% 9.2 6s
* 4269 594 92 1.0329710 1.06309 2.92% 9.2 6s
* 4392 553 86 1.0331840 1.06239 2.83% 9.2 6s
* 4854 476 88 1.0334626 1.05867 2.44% 9.0 7s
* 4859 468 88 1.0338052 1.05867 2.40% 9.0 7s
Cutting planes:
Gomory: 40
Cover: 3
Implied bound: 29
Projected implied bound: 12
Clique: 1
MIR: 19
Flow cover: 60
Flow path: 1
Inf proof: 19
Explored 5350 nodes (48475 simplex iterations) in 7.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 1.03381 1.03346 1.03318 ... 1.02828
Optimal solution found (tolerance 1.00e-02)
Best objective 1.033805198113e+00, best bound 1.043578183478e+00, gap 0.9453%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpffa4qnbd.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvi36f5j2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02479
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.587149e+00, 840 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58715 0 65 1.02479 1.58715 54.9% - 0s
0 0 1.53361 0 77 1.02479 1.53361 49.7% - 0s
0 0 1.53323 0 75 1.02479 1.53323 49.6% - 0s
0 0 1.44669 0 67 1.02479 1.44669 41.2% - 0s
0 0 1.44554 0 70 1.02479 1.44554 41.1% - 0s
0 0 1.44505 0 71 1.02479 1.44505 41.0% - 0s
0 0 1.44473 0 70 1.02479 1.44473 41.0% - 0s
0 0 1.44424 0 77 1.02479 1.44424 40.9% - 0s
0 0 1.44418 0 76 1.02479 1.44418 40.9% - 0s
0 0 1.44410 0 74 1.02479 1.44410 40.9% - 0s
0 0 1.44369 0 77 1.02479 1.44369 40.9% - 0s
0 0 1.44368 0 76 1.02479 1.44368 40.9% - 0s
0 0 1.44368 0 68 1.02479 1.44368 40.9% - 0s
0 2 1.44368 0 68 1.02479 1.44368 40.9% - 0s
1387 551 1.16776 35 51 1.02479 1.27928 24.8% 15.5 5s
* 4257 659 81 1.0251128 1.11966 9.22% 12.9 8s
* 4778 649 85 1.0266251 1.09091 6.26% 12.5 9s
* 5519 503 83 1.0273217 1.06905 4.06% 11.8 9s
* 5520 501 82 1.0276880 1.06905 4.02% 11.8 9s
5581 432 1.04032 62 30 1.02769 1.06904 4.02% 11.7 10s
* 6169 109 78 1.0281171 1.04469 1.61% 11.3 10s
* 6350 138 82 1.0282257 1.04174 1.31% 11.2 10s
* 6617 3 86 1.0285443 1.02975 0.12% 11.0 11s
Cutting planes:
Gomory: 49
Cover: 3
Implied bound: 25
Projected implied bound: 20
Clique: 3
MIR: 12
Flow cover: 69
Flow path: 1
Inf proof: 37
Explored 6635 nodes (74591 simplex iterations) in 11.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.02854 1.02823 1.02812 ... 1.02479
Optimal solution found (tolerance 1.00e-02)
Best objective 1.028544339490e+00, best bound 1.029745257215e+00, gap 0.1168%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeyr7udki.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq_4uwb7y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00451
Presolve removed 455 rows and 285 columns
Presolve time: 0.03s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.536025e+00, 859 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53602 0 66 1.00451 1.53602 52.9% - 0s
0 0 1.48542 0 76 1.00451 1.48542 47.9% - 0s
0 0 1.48505 0 75 1.00451 1.48505 47.8% - 0s
0 0 1.40229 0 66 1.00451 1.40229 39.6% - 0s
0 0 1.40153 0 70 1.00451 1.40153 39.5% - 0s
0 0 1.40004 0 72 1.00451 1.40004 39.4% - 0s
0 0 1.39996 0 73 1.00451 1.39996 39.4% - 0s
0 0 1.39948 0 77 1.00451 1.39948 39.3% - 0s
0 0 1.39901 0 76 1.00451 1.39901 39.3% - 0s
0 0 1.39901 0 76 1.00451 1.39901 39.3% - 0s
0 0 1.39901 0 68 1.00451 1.39901 39.3% - 0s
0 2 1.39901 0 67 1.00451 1.39901 39.3% - 0s
2035 494 1.18149 30 66 1.00451 1.19550 19.0% 12.4 5s
* 3265 632 92 1.0055615 1.13973 13.3% 10.9 6s
* 4198 732 72 1.0064206 1.11733 11.0% 10.1 7s
* 4978 739 80 1.0071277 1.08741 7.97% 9.7 7s
6408 158 cutoff 39 1.00713 1.02491 1.77% 9.3 10s
* 6568 73 81 1.0076723 1.01941 1.16% 9.2 10s
Cutting planes:
Gomory: 31
Cover: 1
Implied bound: 23
Projected implied bound: 17
MIR: 13
Flow cover: 53
Inf proof: 49
Explored 6824 nodes (63580 simplex iterations) in 10.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.00767 1.00713 1.00642 ... 1.00451
Optimal solution found (tolerance 1.00e-02)
Best objective 1.007672254036e+00, best bound 1.007672254036e+00, gap 0.0000%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprsp6evix.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxhi7dntj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00658
Presolve removed 468 rows and 293 columns
Presolve time: 0.03s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.559448e+00, 885 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55945 0 70 1.00658 1.55945 54.9% - 0s
0 0 1.49922 0 76 1.00658 1.49922 48.9% - 0s
0 0 1.49904 0 76 1.00658 1.49904 48.9% - 0s
0 0 1.43208 0 79 1.00658 1.43208 42.3% - 0s
0 0 1.43138 0 78 1.00658 1.43138 42.2% - 0s
0 0 1.43002 0 85 1.00658 1.43002 42.1% - 0s
0 0 1.43002 0 85 1.00658 1.43002 42.1% - 0s
0 0 1.42958 0 81 1.00658 1.42958 42.0% - 0s
0 0 1.42937 0 81 1.00658 1.42937 42.0% - 0s
0 0 1.42937 0 74 1.00658 1.42937 42.0% - 0s
0 2 1.42937 0 74 1.00658 1.42937 42.0% - 0s
1402 429 1.11548 40 68 1.00658 1.20064 19.3% 13.0 5s
* 2084 447 102 1.0074083 1.16728 15.9% 11.4 5s
H 4373 587 1.0082566 1.07362 6.48% 9.2 8s
5560 168 infeasible 68 1.00826 1.03308 2.46% 9.2 10s
Cutting planes:
Gomory: 45
Cover: 3
Implied bound: 25
Projected implied bound: 23
Clique: 1
MIR: 12
Flow cover: 80
Inf proof: 61
Explored 6078 nodes (56901 simplex iterations) in 10.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.00826 1.00741 1.00658
Optimal solution found (tolerance 1.00e-02)
Best objective 1.008256590231e+00, best bound 1.008940418328e+00, gap 0.0678%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdv60gioj.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe01q6j1g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.986888
Presolve removed 481 rows and 301 columns
Presolve time: 0.04s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.518945e+00, 952 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51894 0 71 0.98689 1.51894 53.9% - 0s
0 0 1.46149 0 77 0.98689 1.46149 48.1% - 0s
0 0 1.46132 0 77 0.98689 1.46132 48.1% - 0s
0 0 1.39044 0 76 0.98689 1.39044 40.9% - 0s
0 0 1.38969 0 75 0.98689 1.38969 40.8% - 0s
0 0 1.38685 0 89 0.98689 1.38685 40.5% - 0s
0 0 1.38659 0 85 0.98689 1.38659 40.5% - 0s
0 0 1.38604 0 84 0.98689 1.38604 40.4% - 0s
0 0 1.38595 0 83 0.98689 1.38595 40.4% - 0s
0 0 1.38569 0 82 0.98689 1.38569 40.4% - 0s
0 0 1.38542 0 82 0.98689 1.38542 40.4% - 0s
0 0 1.38542 0 82 0.98689 1.38542 40.4% - 0s
0 0 1.38542 0 76 0.98689 1.38542 40.4% - 0s
0 2 1.38542 0 73 0.98689 1.38542 40.4% - 0s
1068 560 1.14296 20 93 0.98689 1.21836 23.5% 15.5 5s
H 3683 1213 0.9868879 1.13644 15.2% 14.0 9s
3713 1202 0.99695 43 75 0.98689 1.13575 15.1% 14.0 10s
7403 1048 1.01396 42 47 0.98689 1.03942 5.32% 11.5 15s
Cutting planes:
Learned: 1
Gomory: 43
Cover: 2
Implied bound: 20
Projected implied bound: 27
Clique: 1
MIR: 18
Flow cover: 89
Flow path: 3
Inf proof: 83
Explored 10234 nodes (111566 simplex iterations) in 18.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.986888 0.986888
Optimal solution found (tolerance 1.00e-02)
Best objective 9.868878515926e-01, best bound 9.952404805808e-01, gap 0.8464%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppbr408b1.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn1ly6i4o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.985422
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.508732e+00, 975 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50873 0 74 0.98542 1.50873 53.1% - 0s
0 0 1.45312 0 84 0.98542 1.45312 47.5% - 0s
0 0 1.45295 0 84 0.98542 1.45295 47.4% - 0s
0 0 1.38486 0 71 0.98542 1.38486 40.5% - 0s
0 0 1.38410 0 73 0.98542 1.38410 40.5% - 0s
0 0 1.38176 0 81 0.98542 1.38176 40.2% - 0s
0 0 1.38148 0 79 0.98542 1.38148 40.2% - 0s
0 0 1.38126 0 81 0.98542 1.38126 40.2% - 0s
0 0 1.38114 0 81 0.98542 1.38114 40.2% - 0s
0 0 1.38099 0 81 0.98542 1.38099 40.1% - 0s
0 0 1.38099 0 75 0.98542 1.38099 40.1% - 0s
0 2 1.38099 0 75 0.98542 1.38099 40.1% - 0s
1824 705 1.20714 28 91 0.98542 1.23475 25.3% 14.2 5s
H 4711 1230 0.9861877 1.13382 15.0% 11.3 8s
5778 1243 cutoff 47 0.98619 1.10826 12.4% 10.5 10s
9826 1145 infeasible 59 0.98619 1.02464 3.90% 9.8 15s
Cutting planes:
Gomory: 58
Cover: 1
Implied bound: 21
Projected implied bound: 17
Clique: 2
MIR: 16
Flow cover: 54
Flow path: 1
Inf proof: 96
Explored 11620 nodes (118759 simplex iterations) in 17.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.986188 0.985422
Optimal solution found (tolerance 1.00e-02)
Best objective 9.861876866926e-01, best bound 9.950299845004e-01, gap 0.8966%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplpkk8u05.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0yzec0s3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.983183
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.508081e+00, 1016 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50808 0 76 0.98318 1.50808 53.4% - 0s
0 0 1.45464 0 84 0.98318 1.45464 48.0% - 0s
0 0 1.45448 0 84 0.98318 1.45448 47.9% - 0s
0 0 1.38336 0 85 0.98318 1.38336 40.7% - 0s
0 0 1.38261 0 86 0.98318 1.38261 40.6% - 0s
0 0 1.38143 0 91 0.98318 1.38143 40.5% - 0s
0 0 1.38080 0 91 0.98318 1.38080 40.4% - 0s
0 0 1.38068 0 93 0.98318 1.38068 40.4% - 0s
0 0 1.38056 0 93 0.98318 1.38056 40.4% - 0s
0 0 1.38052 0 94 0.98318 1.38052 40.4% - 0s
0 0 1.38037 0 93 0.98318 1.38037 40.4% - 0s
0 0 1.38021 0 93 0.98318 1.38021 40.4% - 0s
0 0 1.38021 0 84 0.98318 1.38021 40.4% - 0s
0 2 1.38021 0 83 0.98318 1.38021 40.4% - 0s
1764 596 1.14603 40 86 0.98318 1.18877 20.9% 13.3 5s
4924 1484 1.04805 55 59 0.98318 1.13327 15.3% 11.8 10s
8772 1719 1.03675 63 36 0.98318 1.06228 8.05% 10.7 15s
12716 1282 infeasible 79 0.98318 1.03036 4.80% 10.5 20s
Cutting planes:
Gomory: 60
Cover: 7
Implied bound: 43
Projected implied bound: 20
MIR: 30
Flow cover: 83
Flow path: 3
Inf proof: 160
Network: 1
Explored 14802 nodes (162890 simplex iterations) in 23.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.983183
Optimal solution found (tolerance 1.00e-02)
Best objective 9.831832104586e-01, best bound 9.911429766433e-01, gap 0.8096%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5c74j2f2.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoxvbdvt4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97324
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.488870e+00, 1008 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48887 0 82 0.97324 1.48887 53.0% - 0s
0 0 1.43756 0 91 0.97324 1.43756 47.7% - 0s
0 0 1.43740 0 90 0.97324 1.43740 47.7% - 0s
0 0 1.35399 0 78 0.97324 1.35399 39.1% - 0s
0 0 1.35306 0 81 0.97324 1.35306 39.0% - 0s
0 0 1.35142 0 89 0.97324 1.35142 38.9% - 0s
0 0 1.35125 0 86 0.97324 1.35125 38.8% - 0s
0 0 1.35086 0 91 0.97324 1.35086 38.8% - 0s
0 0 1.35081 0 91 0.97324 1.35081 38.8% - 0s
0 0 1.35074 0 91 0.97324 1.35074 38.8% - 0s
0 0 1.35042 0 90 0.97324 1.35042 38.8% - 0s
0 0 1.35042 0 90 0.97324 1.35042 38.8% - 0s
0 0 1.35042 0 90 0.97324 1.35042 38.8% - 0s
0 2 1.35042 0 84 0.97324 1.35042 38.8% - 0s
1017 510 infeasible 48 0.97324 1.23151 26.5% 16.8 5s
3761 1068 infeasible 63 0.97324 1.14449 17.6% 15.2 10s
8082 1412 infeasible 49 0.97324 1.05583 8.49% 11.3 15s
11248 687 0.99023 61 41 0.97324 0.99526 2.26% 10.9 20s
Cutting planes:
Gomory: 58
Implied bound: 33
Projected implied bound: 23
Clique: 1
MIR: 26
Flow cover: 63
Flow path: 2
Inf proof: 128
Explored 12209 nodes (136505 simplex iterations) in 21.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.97324
Optimal solution found (tolerance 1.00e-02)
Best objective 9.732397298384e-01, best bound 9.800504167987e-01, gap 0.6998%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7ss8zg4a.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpukmgdmob.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.970484
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.471755e+00, 971 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47176 0 84 0.97048 1.47176 51.7% - 0s
0 0 1.42253 0 93 0.97048 1.42253 46.6% - 0s
0 0 1.42253 0 93 0.97048 1.42253 46.6% - 0s
0 0 1.35312 0 83 0.97048 1.35312 39.4% - 0s
0 0 1.35229 0 86 0.97048 1.35229 39.3% - 0s
0 0 1.35174 0 90 0.97048 1.35174 39.3% - 0s
0 0 1.35162 0 88 0.97048 1.35162 39.3% - 0s
0 0 1.35125 0 92 0.97048 1.35125 39.2% - 0s
0 0 1.35085 0 89 0.97048 1.35085 39.2% - 0s
0 0 1.35085 0 89 0.97048 1.35085 39.2% - 0s
0 0 1.35068 0 87 0.97048 1.35068 39.2% - 0s
0 0 1.35068 0 82 0.97048 1.35068 39.2% - 0s
0 2 1.35068 0 81 0.97048 1.35068 39.2% - 0s
991 454 1.01139 44 63 0.97048 1.21586 25.3% 15.3 5s
H 3431 899 0.9704840 1.12206 15.6% 12.5 9s
4103 970 1.01647 61 59 0.97048 1.10155 13.5% 11.9 10s
7455 895 infeasible 63 0.97048 1.02331 5.44% 10.8 15s
Cutting planes:
Learned: 1
Gomory: 57
Cover: 4
Implied bound: 26
Projected implied bound: 23
Clique: 2
MIR: 11
Flow cover: 70
Inf proof: 90
Network: 1
Explored 10099 nodes (106495 simplex iterations) in 19.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.970484 0.970484
Optimal solution found (tolerance 1.00e-02)
Best objective 9.704840148521e-01, best bound 9.727763366841e-01, gap 0.2362%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6yggc25x.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm_9i1p53.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.959953
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.446906e+00, 1054 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44691 0 87 0.95995 1.44691 50.7% - 0s
0 0 1.40010 0 95 0.95995 1.40010 45.9% - 0s
0 0 1.39995 0 96 0.95995 1.39995 45.8% - 0s
0 0 1.33857 0 88 0.95995 1.33857 39.4% - 0s
0 0 1.33711 0 90 0.95995 1.33711 39.3% - 0s
0 0 1.33677 0 95 0.95995 1.33677 39.3% - 0s
0 0 1.33629 0 95 0.95995 1.33629 39.2% - 0s
0 0 1.33594 0 96 0.95995 1.33594 39.2% - 0s
0 0 1.33586 0 94 0.95995 1.33586 39.2% - 0s
0 0 1.33582 0 94 0.95995 1.33582 39.2% - 0s
0 0 1.33550 0 93 0.95995 1.33550 39.1% - 0s
0 0 1.33550 0 94 0.95995 1.33550 39.1% - 0s
0 0 1.33550 0 94 0.95995 1.33550 39.1% - 0s
0 2 1.33550 0 86 0.95995 1.33550 39.1% - 0s
850 548 1.15920 33 102 0.95995 1.19097 24.1% 15.0 5s
* 1242 640 143 0.9599792 1.18298 23.2% 13.6 5s
2846 659 1.03585 41 80 0.95998 1.11539 16.2% 15.2 10s
H 5651 1497 0.9599792 1.06611 11.1% 12.7 14s
5891 1533 cutoff 53 0.95998 1.06478 10.9% 12.5 15s
8792 1339 infeasible 49 0.95998 1.02933 7.22% 12.5 20s
Cutting planes:
Gomory: 73
Cover: 7
Implied bound: 33
Projected implied bound: 26
MIR: 18
Flow cover: 92
Flow path: 2
Inf proof: 98
Explored 11097 nodes (142531 simplex iterations) in 24.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.959979 0.959979 0.959953
Optimal solution found (tolerance 1.00e-02)
Best objective 9.599792417607e-01, best bound 9.688845759245e-01, gap 0.9277%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcf5k8x8_.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphyhvyo80.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.938797
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.408791e+00, 1158 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40879 0 86 0.93880 1.40879 50.1% - 0s
0 0 1.36383 0 94 0.93880 1.36383 45.3% - 0s
0 0 1.36368 0 96 0.93880 1.36368 45.3% - 0s
0 0 1.30259 0 88 0.93880 1.30259 38.8% - 0s
0 0 1.30097 0 93 0.93880 1.30097 38.6% - 0s
0 0 1.30058 0 99 0.93880 1.30058 38.5% - 0s
0 0 1.30036 0 95 0.93880 1.30036 38.5% - 0s
0 0 1.30019 0 98 0.93880 1.30019 38.5% - 0s
0 0 1.30012 0 98 0.93880 1.30012 38.5% - 0s
0 0 1.30008 0 97 0.93880 1.30008 38.5% - 0s
0 0 1.30008 0 91 0.93880 1.30008 38.5% - 0s
0 2 1.30008 0 91 0.93880 1.30008 38.5% - 0s
953 516 1.06461 42 92 0.93880 1.16802 24.4% 15.9 5s
H 2430 615 0.9387973 1.13771 21.2% 16.2 9s
2598 600 1.04091 39 95 0.93880 1.12975 20.3% 16.5 10s
6849 1823 cutoff 44 0.93880 1.05637 12.5% 12.9 15s
10151 1615 infeasible 68 0.93880 1.00447 7.00% 12.7 20s
12820 688 infeasible 83 0.93880 0.96488 2.78% 12.5 25s
Cutting planes:
Gomory: 70
Cover: 5
Implied bound: 41
Projected implied bound: 35
Clique: 2
MIR: 22
Flow cover: 75
Flow path: 2
Inf proof: 125
Explored 13894 nodes (174252 simplex iterations) in 26.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.938797 0.938797
Optimal solution found (tolerance 1.00e-02)
Best objective 9.387973332467e-01, best bound 9.462666589966e-01, gap 0.7956%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6kf24k4j.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjxdtf1qt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.925964
Presolve removed 572 rows and 357 columns
Presolve time: 0.04s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.388053e+00, 1004 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38805 0 92 0.92596 1.38805 49.9% - 0s
0 0 1.34474 0 99 0.92596 1.34474 45.2% - 0s
0 0 1.34460 0 99 0.92596 1.34460 45.2% - 0s
0 0 1.28679 0 87 0.92596 1.28679 39.0% - 0s
0 0 1.28630 0 91 0.92596 1.28630 38.9% - 0s
0 0 1.28588 0 95 0.92596 1.28588 38.9% - 0s
0 0 1.28582 0 93 0.92596 1.28582 38.9% - 0s
0 0 1.28477 0 100 0.92596 1.28477 38.7% - 0s
0 0 1.28439 0 101 0.92596 1.28439 38.7% - 0s
0 0 1.28418 0 100 0.92596 1.28418 38.7% - 0s
0 0 1.28402 0 98 0.92596 1.28402 38.7% - 0s
0 0 1.28400 0 98 0.92596 1.28400 38.7% - 0s
0 0 1.28398 0 101 0.92596 1.28398 38.7% - 0s
0 0 1.28398 0 95 0.92596 1.28398 38.7% - 0s
0 2 1.28398 0 94 0.92596 1.28398 38.7% - 0s
898 504 1.10110 37 106 0.92596 1.16744 26.1% 16.2 5s
3405 1148 1.02993 68 58 0.92596 1.10445 19.3% 15.4 10s
7129 1993 infeasible 59 0.92596 1.04226 12.6% 11.4 15s
11143 2752 0.97019 61 42 0.92596 1.02537 10.7% 10.1 20s
13710 2476 infeasible 37 0.92596 0.99954 7.95% 10.4 25s
16159 2103 cutoff 81 0.92596 0.97507 5.30% 10.8 30s
18669 1567 cutoff 73 0.92596 0.96253 3.95% 11.2 35s
21162 608 cutoff 90 0.92596 0.94451 2.00% 11.5 40s
Cutting planes:
Gomory: 73
Cover: 1
Implied bound: 39
Projected implied bound: 19
MIR: 14
Flow cover: 99
Flow path: 1
Inf proof: 180
Explored 22155 nodes (258029 simplex iterations) in 41.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.925964
Optimal solution found (tolerance 1.00e-02)
Best objective 9.259635167144e-01, best bound 9.348709802485e-01, gap 0.9620%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn3el9588.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpganor40h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.922159
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.376333e+00, 1156 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37633 0 91 0.92216 1.37633 49.3% - 0s
0 0 1.33454 0 97 0.92216 1.33454 44.7% - 0s
0 0 1.33440 0 98 0.92216 1.33440 44.7% - 0s
0 0 1.27137 0 84 0.92216 1.27137 37.9% - 0s
0 0 1.27132 0 83 0.92216 1.27132 37.9% - 0s
0 0 1.26986 0 87 0.92216 1.26986 37.7% - 0s
0 0 1.26970 0 86 0.92216 1.26970 37.7% - 0s
0 0 1.26962 0 92 0.92216 1.26962 37.7% - 0s
0 0 1.26864 0 91 0.92216 1.26864 37.6% - 0s
0 0 1.26770 0 95 0.92216 1.26770 37.5% - 0s
0 0 1.26748 0 97 0.92216 1.26748 37.4% - 0s
0 0 1.26710 0 95 0.92216 1.26710 37.4% - 0s
0 0 1.26694 0 93 0.92216 1.26694 37.4% - 0s
0 0 1.26685 0 92 0.92216 1.26685 37.4% - 0s
0 0 1.26685 0 82 0.92216 1.26685 37.4% - 0s
0 2 1.26685 0 82 0.92216 1.26685 37.4% - 0s
866 517 1.00866 32 105 0.92216 1.16871 26.7% 15.4 5s
H 2928 771 0.9221588 1.09577 18.8% 13.4 9s
3037 766 0.98672 80 91 0.92216 1.08738 17.9% 13.4 10s
6496 1699 0.99884 75 67 0.92216 1.04718 13.6% 11.7 15s
9813 1994 infeasible 46 0.92216 1.00427 8.90% 10.8 20s
12663 1823 0.95615 76 53 0.92216 0.97110 5.31% 10.6 25s
14981 1306 cutoff 81 0.92216 0.95283 3.33% 11.0 30s
16958 559 infeasible 84 0.92216 0.93897 1.82% 11.4 35s
Cutting planes:
Gomory: 67
Cover: 3
Implied bound: 25
Projected implied bound: 18
MIR: 17
Flow cover: 72
Flow path: 2
Inf proof: 181
Explored 17531 nodes (202512 simplex iterations) in 36.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.922159 0.922159
Optimal solution found (tolerance 1.00e-02)
Best objective 9.221588296519e-01, best bound 9.307869907241e-01, gap 0.9356%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi03gl8gy.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7b7_02g6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.916294
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.356920e+00, 1102 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35692 0 93 0.91629 1.35692 48.1% - 0s
0 0 1.31649 0 101 0.91629 1.31649 43.7% - 0s
0 0 1.31636 0 101 0.91629 1.31636 43.7% - 0s
0 0 1.26956 0 89 0.91629 1.26956 38.6% - 0s
0 0 1.26919 0 91 0.91629 1.26919 38.5% - 0s
0 0 1.26899 0 99 0.91629 1.26899 38.5% - 0s
0 0 1.26897 0 95 0.91629 1.26897 38.5% - 0s
0 0 1.26873 0 95 0.91629 1.26873 38.5% - 0s
0 0 1.26871 0 95 0.91629 1.26871 38.5% - 0s
0 0 1.26871 0 94 0.91629 1.26871 38.5% - 0s
0 0 1.26871 0 89 0.91629 1.26871 38.5% - 0s
0 2 1.26871 0 88 0.91629 1.26871 38.5% - 0s
780 472 1.15859 11 121 0.91629 1.15859 26.4% 14.9 5s
2825 793 0.97676 55 73 0.91629 1.08708 18.6% 14.8 10s
6445 1694 infeasible 52 0.91629 1.00842 10.1% 11.8 15s
10379 2526 0.94035 70 41 0.91629 0.96907 5.76% 10.1 20s
12934 2466 0.93536 65 74 0.91629 0.95769 4.52% 10.5 25s
H12951 2466 0.9162939 0.95714 4.46% 10.5 25s
14422 2090 0.93838 59 68 0.91629 0.95081 3.77% 10.7 30s
17283 821 infeasible 83 0.91629 0.92836 1.32% 10.9 35s
Cutting planes:
Gomory: 60
Cover: 4
Implied bound: 35
Projected implied bound: 24
Clique: 3
MIR: 33
Flow cover: 78
Flow path: 1
Inf proof: 160
Explored 17822 nodes (197384 simplex iterations) in 35.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.916294 0.916294
Optimal solution found (tolerance 1.00e-02)
Best objective 9.162939450012e-01, best bound 9.246111103236e-01, gap 0.9077%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_xnzww53.pyomo.lp
Reading time = 0.02 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbxty550c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.909934
Presolve removed 611 rows and 381 columns
Presolve time: 0.05s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.339675e+00, 1160 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33967 0 97 0.90993 1.33967 47.2% - 0s
0 0 1.30052 0 106 0.90993 1.30052 42.9% - 0s
0 0 1.30039 0 106 0.90993 1.30039 42.9% - 0s
0 0 1.25916 0 98 0.90993 1.25916 38.4% - 0s
0 0 1.25805 0 100 0.90993 1.25805 38.3% - 0s
0 0 1.25720 0 101 0.90993 1.25720 38.2% - 0s
0 0 1.25692 0 100 0.90993 1.25692 38.1% - 0s
0 0 1.25671 0 102 0.90993 1.25671 38.1% - 0s
0 0 1.25664 0 103 0.90993 1.25664 38.1% - 0s
0 0 1.25657 0 103 0.90993 1.25657 38.1% - 0s
0 0 1.25648 0 100 0.90993 1.25648 38.1% - 0s
0 0 1.25634 0 102 0.90993 1.25634 38.1% - 0s
0 0 1.25634 0 102 0.90993 1.25634 38.1% - 0s
0 2 1.25634 0 99 0.90993 1.25634 38.1% - 0s
806 492 1.15025 17 121 0.90993 1.15397 26.8% 15.6 5s
* 1614 728 166 0.9105294 1.14310 25.5% 14.6 6s
2646 975 1.05103 29 105 0.91053 1.11797 22.8% 15.8 10s
H 2767 975 0.9107406 1.11160 22.1% 16.0 11s
4749 1285 1.04731 41 90 0.91074 1.06385 16.8% 14.9 15s
7885 1848 1.03384 51 80 0.91074 1.03400 13.5% 13.4 20s
H 8505 2015 0.9107406 1.02909 13.0% 13.1 21s
10259 2184 cutoff 62 0.91074 1.01401 11.3% 13.1 25s
12876 2277 0.94008 72 42 0.91074 0.98463 8.11% 13.2 30s
15795 2491 0.92256 74 49 0.91074 0.96740 6.22% 13.1 35s
18039 2216 0.95199 48 61 0.91074 0.95326 4.67% 13.4 40s
20524 1963 0.92044 75 36 0.91074 0.94266 3.51% 13.5 45s
H21488 1915 0.9107406 0.93915 3.12% 13.5 47s
22671 1515 0.92369 77 65 0.91074 0.93396 2.55% 13.5 50s
H23251 1400 0.9107406 0.93186 2.32% 13.6 51s
25177 678 infeasible 145 0.91074 0.92199 1.23% 13.6 55s
Cutting planes:
Learned: 1
Gomory: 60
Cover: 3
Implied bound: 44
Projected implied bound: 26
Clique: 5
MIR: 27
Flow cover: 106
Flow path: 1
Inf proof: 261
Zero half: 1
Explored 25491 nodes (348373 simplex iterations) in 55.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.910741 0.910741 0.910741 ... 0.909934
Optimal solution found (tolerance 1.00e-02)
Best objective 9.107405973227e-01, best bound 9.195630194248e-01, gap 0.9687%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1y6rl62g.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv_vdaccl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895922
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.316537e+00, 1109 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31654 0 100 0.89592 1.31654 46.9% - 0s
0 0 1.27941 0 112 0.89592 1.27941 42.8% - 0s
0 0 1.27928 0 112 0.89592 1.27928 42.8% - 0s
0 0 1.22131 0 92 0.89592 1.22131 36.3% - 0s
0 0 1.22073 0 95 0.89592 1.22073 36.3% - 0s
0 0 1.21906 0 100 0.89592 1.21906 36.1% - 0s
0 0 1.21893 0 98 0.89592 1.21893 36.1% - 0s
0 0 1.21877 0 100 0.89592 1.21877 36.0% - 0s
0 0 1.21870 0 101 0.89592 1.21870 36.0% - 0s
0 0 1.21865 0 101 0.89592 1.21865 36.0% - 0s
0 0 1.21865 0 91 0.89592 1.21865 36.0% - 0s
0 2 1.21865 0 91 0.89592 1.21865 36.0% - 0s
764 507 1.13747 13 104 0.89592 1.13747 27.0% 17.8 5s
2053 784 1.06671 25 130 0.89592 1.11745 24.7% 19.2 10s
2982 1146 0.97968 45 100 0.89592 1.09745 22.5% 19.3 15s
5701 1921 0.98914 36 98 0.89592 1.04017 16.1% 17.2 20s
8858 1917 infeasible 45 0.89592 0.99241 10.8% 14.9 25s
11284 1685 infeasible 62 0.89592 0.95909 7.05% 13.7 30s
13029 1546 infeasible 45 0.89592 0.94473 5.45% 13.3 35s
15497 1129 0.91718 70 62 0.89592 0.92541 3.29% 13.0 40s
17654 531 cutoff 74 0.89592 0.91161 1.75% 13.0 45s
Cutting planes:
Gomory: 66
Cover: 5
Implied bound: 28
Projected implied bound: 25
Clique: 2
MIR: 27
Flow cover: 94
Flow path: 1
Inf proof: 212
Explored 18509 nodes (240653 simplex iterations) in 46.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.895922
Optimal solution found (tolerance 1.00e-02)
Best objective 8.959221988040e-01, best bound 9.016522323670e-01, gap 0.6396%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzwjtxwxw.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbmyr7z4q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87955
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.287323e+00, 1283 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28732 0 101 0.87955 1.28732 46.4% - 0s
0 0 1.25241 0 108 0.87955 1.25241 42.4% - 0s
0 0 1.25229 0 108 0.87955 1.25229 42.4% - 0s
0 0 1.20908 0 102 0.87955 1.20908 37.5% - 0s
0 0 1.20908 0 105 0.87955 1.20908 37.5% - 0s
0 0 1.20750 0 109 0.87955 1.20750 37.3% - 0s
0 0 1.20744 0 107 0.87955 1.20744 37.3% - 0s
0 0 1.20734 0 114 0.87955 1.20734 37.3% - 0s
0 0 1.20699 0 111 0.87955 1.20699 37.2% - 0s
0 0 1.20648 0 113 0.87955 1.20648 37.2% - 0s
0 0 1.20584 0 111 0.87955 1.20584 37.1% - 0s
0 0 1.20497 0 110 0.87955 1.20497 37.0% - 0s
0 0 1.20484 0 110 0.87955 1.20484 37.0% - 0s
0 0 1.20484 0 103 0.87955 1.20484 37.0% - 0s
0 2 1.20484 0 101 0.87955 1.20484 37.0% - 0s
769 500 1.10133 12 119 0.87955 1.12155 27.5% 10.4 5s
1761 658 1.04082 34 126 0.87955 1.09101 24.0% 17.6 10s
3338 972 cutoff 53 0.87955 1.05176 19.6% 19.0 15s
4944 1231 1.00133 45 112 0.87955 1.01938 15.9% 18.9 20s
6933 1517 0.97437 50 107 0.87955 0.99757 13.4% 17.4 25s
9713 1932 infeasible 90 0.87955 0.97304 10.6% 15.9 30s
12753 2330 0.89476 78 42 0.87955 0.94872 7.86% 15.1 35s
14641 2586 infeasible 77 0.87955 0.94121 7.01% 14.7 40s
16891 2607 cutoff 86 0.87955 0.93325 6.11% 14.8 45s
18994 2249 cutoff 74 0.87955 0.92344 4.99% 15.2 50s
20696 1824 0.91142 82 57 0.87955 0.91540 4.08% 15.5 55s
22817 1277 infeasible 76 0.87955 0.90554 2.95% 15.6 60s
24936 544 0.88888 119 44 0.87955 0.88893 1.07% 15.6 65s
Cutting planes:
Learned: 1
Gomory: 72
Cover: 4
Implied bound: 41
Projected implied bound: 40
Clique: 3
MIR: 37
Flow cover: 122
Flow path: 3
Inf proof: 308
Network: 1
Explored 25289 nodes (394396 simplex iterations) in 65.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.87955
Optimal solution found (tolerance 1.00e-02)
Best objective 8.795497465671e-01, best bound 8.872827886276e-01, gap 0.8792%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbct9dszw.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2fltxfyv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.86693
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.269800e+00, 1209 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26980 0 104 0.86693 1.26980 46.5% - 0s
0 0 1.23583 0 116 0.86693 1.23583 42.6% - 0s
0 0 1.23571 0 115 0.86693 1.23571 42.5% - 0s
0 0 1.19573 0 111 0.86693 1.19573 37.9% - 0s
0 0 1.19502 0 113 0.86693 1.19502 37.8% - 0s
0 0 1.18990 0 119 0.86693 1.18990 37.3% - 0s
0 0 1.18939 0 119 0.86693 1.18939 37.2% - 0s
0 0 1.18912 0 122 0.86693 1.18912 37.2% - 0s
0 0 1.18905 0 122 0.86693 1.18905 37.2% - 0s
0 0 1.18893 0 121 0.86693 1.18893 37.1% - 0s
0 0 1.18874 0 122 0.86693 1.18874 37.1% - 0s
0 0 1.18873 0 122 0.86693 1.18873 37.1% - 0s
0 0 1.18873 0 110 0.86693 1.18873 37.1% - 0s
0 2 1.18873 0 110 0.86693 1.18873 37.1% - 0s
807 538 0.88371 16 121 0.86693 1.10194 27.1% 11.6 5s
1615 568 1.06023 26 118 0.86693 1.08502 25.2% 18.7 10s
H 2978 952 0.8669301 1.04164 20.2% 17.6 15s
6164 1848 0.93596 37 102 0.86693 0.99089 14.3% 13.7 20s
9612 2709 0.95030 46 74 0.86693 0.97261 12.2% 12.5 25s
11983 2937 0.93846 50 87 0.86693 0.95996 10.7% 12.6 30s
14187 2527 infeasible 62 0.86693 0.93828 8.23% 12.7 35s
15569 2387 infeasible 54 0.86693 0.92353 6.53% 12.8 40s
17172 2200 infeasible 74 0.86693 0.91433 5.47% 13.0 45s
19138 1960 cutoff 72 0.86693 0.90365 4.24% 13.2 50s
21155 1465 0.87066 91 35 0.86693 0.89396 3.12% 13.4 55s
23155 755 0.87692 85 63 0.86693 0.88114 1.64% 13.6 60s
Cutting planes:
Learned: 1
Gomory: 56
Cover: 3
Implied bound: 44
Projected implied bound: 25
Clique: 1
MIR: 31
Flow cover: 134
Flow path: 2
Inf proof: 215
Explored 23961 nodes (325759 simplex iterations) in 61.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.86693 0.86693
Optimal solution found (tolerance 1.00e-02)
Best objective 8.669300842896e-01, best bound 8.749218548689e-01, gap 0.9218%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa7ftspmp.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxor8jmwj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.859345
Presolve removed 663 rows and 413 columns
Presolve time: 0.04s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.253103e+00, 1206 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25310 0 110 0.85934 1.25310 45.8% - 0s
0 0 1.22024 0 115 0.85934 1.22024 42.0% - 0s
0 0 1.22015 0 116 0.85934 1.22015 42.0% - 0s
0 0 1.18340 0 111 0.85934 1.18340 37.7% - 0s
0 0 1.18275 0 109 0.85934 1.18275 37.6% - 0s
0 0 1.18189 0 114 0.85934 1.18189 37.5% - 0s
0 0 1.18143 0 116 0.85934 1.18143 37.5% - 0s
0 0 1.18133 0 121 0.85934 1.18133 37.5% - 0s
0 0 1.18124 0 119 0.85934 1.18124 37.5% - 0s
0 0 1.18111 0 118 0.85934 1.18111 37.4% - 0s
0 0 1.18102 0 119 0.85934 1.18102 37.4% - 0s
0 0 1.18095 0 119 0.85934 1.18095 37.4% - 0s
0 0 1.18095 0 110 0.85934 1.18095 37.4% - 0s
0 2 1.18095 0 108 0.85934 1.18095 37.4% - 0s
758 479 0.95693 73 132 0.85934 1.10792 28.9% 12.6 5s
1487 604 1.04681 32 137 0.85934 1.09187 27.1% 17.7 10s
H 2545 1023 0.8593448 1.07493 25.1% 18.5 12s
3157 1310 0.92498 76 86 0.85934 1.07058 24.6% 18.6 16s
4500 1725 0.98269 38 133 0.85934 1.04694 21.8% 20.1 20s
6530 1955 infeasible 46 0.85934 1.01447 18.1% 18.5 25s
9154 1913 0.91962 67 75 0.85934 0.95844 11.5% 16.3 30s
12133 2535 infeasible 43 0.85934 0.93592 8.91% 14.7 35s
15341 3497 0.90005 67 71 0.85934 0.92632 7.79% 13.6 40s
18215 4100 0.87583 100 45 0.85934 0.92040 7.10% 13.3 45s
20856 4366 infeasible 72 0.85934 0.91449 6.42% 13.4 62s
21971 4365 infeasible 97 0.85934 0.91144 6.06% 13.6 65s
24090 4268 infeasible 82 0.85934 0.90719 5.57% 13.9 70s
26290 4312 infeasible 73 0.85934 0.90337 5.12% 14.0 75s
28375 4174 0.88573 106 51 0.85934 0.89931 4.65% 14.2 80s
30272 4042 infeasible 71 0.85934 0.89562 4.22% 14.4 85s
31796 3917 cutoff 76 0.85934 0.89239 3.85% 14.4 90s
33304 3611 infeasible 99 0.85934 0.88933 3.49% 14.6 95s
35139 3322 infeasible 94 0.85934 0.88613 3.12% 14.7 100s
37244 2819 0.87093 81 78 0.85934 0.88224 2.66% 14.9 105s
38908 2329 infeasible 77 0.85934 0.87871 2.25% 15.0 110s
41266 1719 infeasible 80 0.85934 0.87421 1.73% 15.0 115s
43397 772 0.86812 86 37 0.85934 0.86839 1.05% 15.1 120s
Cutting planes:
Learned: 1
Gomory: 83
Cover: 3
Implied bound: 49
Projected implied bound: 40
Clique: 4
MIR: 42
Flow cover: 164
Flow path: 4
Inf proof: 377
Explored 43570 nodes (658685 simplex iterations) in 120.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.859345 0.859345
Optimal solution found (tolerance 1.00e-02)
Best objective 8.593447497251e-01, best bound 8.678917114702e-01, gap 0.9946%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl798t3ku.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp16dq326g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.842625
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.226159e+00, 1253 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22616 0 109 0.84263 1.22616 45.5% - 0s
0 0 1.19403 0 122 0.84263 1.19403 41.7% - 0s
0 0 1.19392 0 118 0.84263 1.19392 41.7% - 0s
0 0 1.14544 0 103 0.84263 1.14544 35.9% - 0s
0 0 1.14490 0 106 0.84263 1.14490 35.9% - 0s
0 0 1.14313 0 105 0.84263 1.14313 35.7% - 0s
0 0 1.14301 0 108 0.84263 1.14301 35.6% - 0s
0 0 1.14265 0 113 0.84263 1.14265 35.6% - 0s
0 0 1.14265 0 113 0.84263 1.14265 35.6% - 0s
0 0 1.14257 0 113 0.84263 1.14257 35.6% - 0s
0 0 1.14238 0 112 0.84263 1.14238 35.6% - 0s
0 0 1.14235 0 112 0.84263 1.14235 35.6% - 0s
0 0 1.14235 0 104 0.84263 1.14235 35.6% - 0s
0 2 1.14235 0 103 0.84263 1.14235 35.6% - 0s
770 500 1.07218 13 135 0.84263 1.07218 27.2% 18.7 5s
1869 775 0.99876 28 128 0.84263 1.04681 24.2% 19.3 10s
3572 1289 infeasible 33 0.84263 1.02309 21.4% 18.8 15s
6147 1746 0.95411 43 114 0.84263 0.97969 16.3% 16.4 20s
8569 2483 infeasible 56 0.84263 0.95859 13.8% 14.3 25s
11743 3047 infeasible 60 0.84263 0.93757 11.3% 13.2 30s
13852 3119 infeasible 44 0.84263 0.91505 8.60% 13.0 35s
16322 3397 0.87661 99 61 0.84263 0.90081 6.90% 12.8 40s
18829 3525 infeasible 72 0.84263 0.88950 5.56% 12.8 45s
20637 3820 infeasible 56 0.84263 0.88558 5.10% 12.7 62s
21985 3891 0.86880 90 68 0.84263 0.88321 4.82% 12.9 65s
23874 3676 0.87080 68 83 0.84263 0.87795 4.19% 13.3 70s
25497 3494 0.85366 65 50 0.84263 0.87468 3.80% 13.7 75s
27176 3211 0.87096 80 44 0.84263 0.87142 3.42% 14.1 80s
29464 2766 0.85179 67 42 0.84263 0.86746 2.95% 14.5 85s
31170 2317 0.84853 102 42 0.84263 0.86398 2.53% 14.7 90s
32973 1633 cutoff 74 0.84263 0.85948 2.00% 15.0 95s
35107 829 infeasible 44 0.84263 0.85372 1.32% 15.1 100s
Cutting planes:
Learned: 1
Gomory: 93
Cover: 10
Implied bound: 44
Projected implied bound: 38
MIR: 39
Flow cover: 150
Flow path: 4
Inf proof: 337
Network: 1
Explored 35850 nodes (544079 simplex iterations) in 101.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.842625
Optimal solution found (tolerance 1.00e-02)
Best objective 8.426251609236e-01, best bound 8.506245878932e-01, gap 0.9493%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbzgdv6e9.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp35fme3fx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829569
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.237513e+00, 1338 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23751 0 118 0.82957 1.23751 49.2% - 0s
0 0 1.20765 0 134 0.82957 1.20765 45.6% - 0s
0 0 1.20765 0 129 0.82957 1.20765 45.6% - 0s
0 0 1.16687 0 131 0.82957 1.16687 40.7% - 0s
0 0 1.16569 0 126 0.82957 1.16569 40.5% - 0s
0 0 1.16525 0 133 0.82957 1.16525 40.5% - 0s
0 0 1.16524 0 129 0.82957 1.16524 40.5% - 0s
0 0 1.16524 0 130 0.82957 1.16524 40.5% - 0s
0 0 1.16522 0 130 0.82957 1.16522 40.5% - 0s
0 0 1.16317 0 128 0.82957 1.16317 40.2% - 0s
0 0 1.16311 0 130 0.82957 1.16311 40.2% - 0s
0 0 1.16311 0 133 0.82957 1.16311 40.2% - 0s
0 0 1.16311 0 133 0.82957 1.16311 40.2% - 0s
0 0 1.16293 0 132 0.82957 1.16293 40.2% - 0s
0 0 1.16293 0 124 0.82957 1.16293 40.2% - 0s
0 2 1.16293 0 121 0.82957 1.16293 40.2% - 0s
744 503 1.08837 12 127 0.82957 1.08837 31.2% 17.6 5s
2280 752 0.96173 54 101 0.82957 1.04113 25.5% 16.5 10s
H 3439 1123 0.8295690 1.02185 23.2% 15.6 13s
3967 1055 0.91078 51 86 0.82957 1.00467 21.1% 16.0 15s
7729 1886 cutoff 55 0.82957 0.94508 13.9% 12.8 20s
11294 2665 0.88100 80 70 0.82957 0.91314 10.1% 11.9 25s
14363 3240 0.86819 70 39 0.82957 0.90249 8.79% 12.0 30s
H16385 3580 0.8299466 0.89676 8.05% 12.1 34s
16390 3580 0.83225 99 33 0.82995 0.89676 8.05% 12.1 35s
H16391 3581 0.8299466 0.89676 8.05% 12.1 35s
H16391 3581 0.8299466 0.89676 8.05% 12.1 35s
H16395 3581 0.8299466 0.89676 8.05% 12.1 35s
18281 3712 cutoff 61 0.82995 0.89046 7.29% 12.3 40s
20491 3752 infeasible 90 0.82995 0.88173 6.24% 12.5 45s
22846 3566 infeasible 66 0.82995 0.87380 5.28% 12.9 50s
24996 3244 infeasible 75 0.82995 0.86731 4.50% 13.1 55s
27001 2862 0.85532 75 44 0.82995 0.85854 3.45% 13.2 60s
29255 2493 cutoff 76 0.82995 0.85251 2.72% 13.3 65s
31385 1724 0.84491 59 62 0.82995 0.84532 1.85% 13.5 70s
Cutting planes:
Gomory: 48
Cover: 2
Implied bound: 32
Projected implied bound: 28
MIR: 17
Flow cover: 83
Flow path: 2
Inf proof: 313
Explored 33686 nodes (455529 simplex iterations) in 74.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.829947 0.829947 0.829947 ... 0.829569
Optimal solution found (tolerance 1.00e-02)
Best objective 8.299465605224e-01, best bound 8.381044846954e-01, gap 0.9829%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjec0m3ws.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2k0iyd2p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.81887
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.226733e+00, 1398 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22673 0 117 0.81887 1.22673 49.8% - 0s
0 0 1.19717 0 128 0.81887 1.19717 46.2% - 0s
0 0 1.19706 0 128 0.81887 1.19706 46.2% - 0s
0 0 1.15641 0 129 0.81887 1.15641 41.2% - 0s
0 0 1.15551 0 130 0.81887 1.15551 41.1% - 0s
0 0 1.15374 0 143 0.81887 1.15374 40.9% - 0s
0 0 1.15373 0 146 0.81887 1.15373 40.9% - 0s
0 0 1.15335 0 145 0.81887 1.15335 40.8% - 0s
0 0 1.15324 0 144 0.81887 1.15324 40.8% - 0s
0 0 1.15311 0 142 0.81887 1.15311 40.8% - 0s
0 0 1.15308 0 143 0.81887 1.15308 40.8% - 0s
0 0 1.15308 0 143 0.81887 1.15308 40.8% - 0s
0 0 1.15308 0 130 0.81887 1.15308 40.8% - 0s
0 2 1.15308 0 128 0.81887 1.15308 40.8% - 0s
756 526 1.05016 6 141 0.81887 1.07686 31.5% 12.1 5s
1378 622 infeasible 21 0.81887 1.07497 31.3% 20.2 10s
* 1455 594 182 0.8193829 1.06915 30.5% 19.9 10s
2919 750 infeasible 43 0.81938 1.02716 25.4% 20.0 15s
H 3230 837 0.8193829 1.01639 24.0% 19.4 15s
5869 1897 0.88115 55 109 0.81938 0.96852 18.2% 15.4 20s
H 7845 2656 0.8193829 0.95537 16.6% 14.1 24s
8004 2687 0.90196 61 109 0.81938 0.95511 16.6% 14.0 25s
11317 3450 0.86659 68 113 0.81938 0.94238 15.0% 12.9 30s
14057 3745 0.82300 125 27 0.81938 0.92630 13.0% 12.6 35s
18588 4839 0.83519 58 77 0.81938 0.91007 11.1% 11.7 40s
20957 5419 0.88878 73 130 0.81938 0.90373 10.3% 11.5 60s
20972 5429 0.88373 88 189 0.81938 0.90373 10.3% 11.5 65s
20977 5432 0.86169 83 194 0.81938 0.90373 10.3% 11.5 70s
20981 5435 0.83522 99 203 0.81938 0.90373 10.3% 11.5 75s
20987 5439 0.89766 61 225 0.81938 0.90373 10.3% 11.5 80s
20991 5442 0.84315 79 207 0.81938 0.90373 10.3% 11.5 85s
20996 5445 0.86361 85 228 0.81938 0.90373 10.3% 11.5 91s
21000 5448 0.84401 91 221 0.81938 0.90373 10.3% 11.5 96s
21003 5450 0.88342 108 227 0.81938 0.90373 10.3% 11.5 100s
21006 5452 0.85270 72 233 0.81938 0.90373 10.3% 11.5 105s
21010 5454 0.83284 134 235 0.81938 0.90373 10.3% 11.5 110s
21015 5458 0.85052 74 240 0.81938 0.90373 10.3% 11.5 115s
21019 5460 0.83815 90 241 0.81938 0.90373 10.3% 11.5 120s
21024 5464 0.82506 160 253 0.81938 0.90373 10.3% 11.5 126s
21028 5466 0.90182 90 240 0.81938 0.90373 10.3% 11.5 131s
21031 5468 0.85511 98 243 0.81938 0.90373 10.3% 11.5 135s
21034 5470 0.85377 70 237 0.81938 0.90373 10.3% 11.4 140s
21038 5473 0.84240 103 248 0.81938 0.90373 10.3% 11.4 146s
21042 5476 0.88904 67 256 0.81938 0.90373 10.3% 11.4 150s
21046 5478 0.85364 95 249 0.81938 0.90373 10.3% 11.4 156s
21049 5480 0.88659 76 253 0.81938 0.90373 10.3% 11.4 160s
21052 5482 0.89680 66 249 0.81938 0.90373 10.3% 11.4 165s
21056 5485 0.88537 89 253 0.81938 0.90373 10.3% 11.4 171s
21061 5488 0.83898 78 245 0.81938 0.90373 10.3% 11.4 175s
21067 5492 0.87748 96 239 0.81938 0.90373 10.3% 11.4 180s
21071 5495 0.82370 116 245 0.81938 0.90373 10.3% 11.4 185s
21076 5498 0.90175 80 245 0.81938 0.90373 10.3% 11.4 190s
21079 5500 0.86893 86 249 0.81938 0.90373 10.3% 11.4 196s
21083 5503 0.83660 98 249 0.81938 0.90373 10.3% 11.4 201s
21087 5506 0.89766 61 256 0.81938 0.90373 10.3% 11.4 206s
21090 5508 0.82541 116 252 0.81938 0.90373 10.3% 11.4 211s
21093 5510 0.82727 113 253 0.81938 0.90373 10.3% 11.4 215s
21099 5514 0.84922 116 247 0.81938 0.90373 10.3% 11.4 221s
21103 5516 0.88342 108 250 0.81938 0.90373 10.3% 11.4 226s
21106 5518 0.85270 72 249 0.81938 0.90373 10.3% 11.4 230s
21111 5522 0.89727 62 258 0.81938 0.90373 10.3% 11.4 235s
21116 5525 0.86308 75 249 0.81938 0.90373 10.3% 11.4 240s
21119 5527 0.83815 90 247 0.81938 0.90373 10.3% 11.4 245s
21123 5530 0.88096 75 243 0.81938 0.90373 10.3% 11.4 251s
21126 5532 0.82729 120 256 0.81938 0.90373 10.3% 11.4 255s
21128 5533 0.90182 90 255 0.81938 0.90373 10.3% 11.4 260s
21132 5536 0.87437 92 258 0.81938 0.90373 10.3% 11.4 266s
21135 5538 0.83182 111 261 0.81938 0.90373 10.3% 11.4 271s
21137 5539 0.82768 84 237 0.81938 0.90373 10.3% 11.4 275s
21145 5544 0.86609 101 226 0.81938 0.90276 10.2% 11.4 281s
21148 5546 0.82783 126 237 0.81938 0.90207 10.1% 11.4 285s
21151 5548 0.83834 116 245 0.81938 0.90115 10.0% 11.4 291s
21154 5550 0.88073 90 255 0.81938 0.90097 10.0% 11.4 295s
21157 5552 0.88878 73 246 0.81938 0.89926 9.75% 11.4 302s
21159 5554 0.87423 84 245 0.81938 0.89872 9.68% 11.4 305s
21162 5556 0.83727 95 263 0.81938 0.89838 9.64% 11.4 310s
21165 5558 0.89040 67 262 0.81938 0.89760 9.55% 11.4 317s
21167 5559 0.87748 96 260 0.81938 0.89721 9.50% 11.4 320s
21171 5562 0.82370 116 260 0.81938 0.89655 9.42% 11.4 326s
21173 5563 0.86843 82 260 0.81938 0.89631 9.39% 11.4 330s
21177 5566 0.86169 83 265 0.81938 0.89622 9.38% 11.4 336s
21179 5567 0.86893 86 264 0.81938 0.89616 9.37% 11.4 340s
21181 5569 0.88844 26 255 0.81938 0.89480 9.20% 13.9 348s
21183 5571 0.88821 27 251 0.81938 0.89478 9.20% 13.9 353s
21189 5573 0.87914 29 264 0.81938 0.89319 9.01% 14.0 355s
21219 5567 0.87580 32 244 0.81938 0.89165 8.82% 14.3 360s
21348 5557 0.85976 38 214 0.81938 0.89145 8.80% 14.9 365s
21588 5526 0.85283 71 147 0.81938 0.88976 8.59% 15.9 370s
21854 5498 0.82044 37 180 0.81938 0.88354 7.83% 16.9 375s
22176 5519 0.86767 49 178 0.81938 0.87899 7.27% 17.7 381s
22450 5517 cutoff 43 0.81938 0.87580 6.89% 18.5 385s
22523 5503 0.86891 44 170 0.81938 0.87477 6.76% 18.7 391s
22760 5476 cutoff 39 0.81938 0.87187 6.41% 19.7 396s
23156 5481 infeasible 49 0.81938 0.87056 6.25% 20.6 401s
23475 5486 cutoff 49 0.81938 0.86852 6.00% 21.3 405s
24090 5551 0.83655 45 158 0.81938 0.86644 5.74% 21.9 410s
24716 5489 0.83452 69 81 0.81938 0.86317 5.34% 22.7 415s
25437 5397 0.84158 59 123 0.81938 0.85728 4.63% 23.4 420s
25903 5245 0.83473 61 118 0.81938 0.85506 4.35% 23.9 425s
26958 4990 0.83824 49 143 0.81938 0.84907 3.62% 24.5 432s
27793 4852 infeasible 73 0.81938 0.84572 3.21% 24.8 437s
28676 4652 infeasible 78 0.81938 0.84267 2.84% 25.1 442s
29244 4540 infeasible 67 0.81938 0.84158 2.71% 25.1 445s
30406 4368 0.83227 62 92 0.81938 0.84055 2.58% 25.2 450s
31550 4094 0.82646 68 57 0.81938 0.83812 2.29% 25.3 456s
32634 3826 0.83589 66 84 0.81938 0.83662 2.10% 25.3 461s
33558 3577 infeasible 75 0.81938 0.83507 1.91% 25.4 466s
34414 3294 cutoff 69 0.81938 0.83454 1.85% 25.5 471s
35279 2968 0.82973 68 95 0.81938 0.83284 1.64% 25.6 475s
36543 2489 0.82923 64 104 0.81938 0.83134 1.46% 25.6 480s
37888 1851 cutoff 52 0.81938 0.82946 1.23% 25.6 485s
38980 1599 infeasible 77 0.81938 0.82791 1.04% 25.7 490s
Cutting planes:
Learned: 1
Gomory: 197
Cover: 23
Implied bound: 24
Projected implied bound: 54
Clique: 14
MIR: 243
StrongCG: 4
Flow cover: 721
Flow path: 3
Inf proof: 104
Zero half: 1
Explored 39230 nodes (1010425 simplex iterations) in 490.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.819383 0.819383 0.819383 0.81887
Optimal solution found (tolerance 1.00e-02)
Best objective 8.193828819270e-01, best bound 8.275109564729e-01, gap 0.9920%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl2l34pw_.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp106b852o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812318
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.209168e+00, 1468 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20917 0 122 0.81232 1.20917 48.9% - 0s
0 0 1.18025 0 135 0.81232 1.18025 45.3% - 0s
0 0 1.18014 0 135 0.81232 1.18014 45.3% - 0s
0 0 1.14385 0 119 0.81232 1.14385 40.8% - 0s
0 0 1.14294 0 121 0.81232 1.14294 40.7% - 0s
0 0 1.14115 0 127 0.81232 1.14115 40.5% - 0s
0 0 1.14105 0 128 0.81232 1.14105 40.5% - 0s
0 0 1.14097 0 137 0.81232 1.14097 40.5% - 0s
0 0 1.14088 0 137 0.81232 1.14088 40.4% - 0s
0 0 1.14077 0 134 0.81232 1.14077 40.4% - 0s
0 0 1.14077 0 128 0.81232 1.14077 40.4% - 0s
0 2 1.14077 0 128 0.81232 1.14077 40.4% - 0s
746 523 1.07661 12 142 0.81232 1.07661 32.5% 22.0 6s
1578 675 0.96438 21 149 0.81232 1.06688 31.3% 22.7 10s
2961 872 1.00102 36 153 0.81232 1.01503 25.0% 22.5 15s
4252 975 infeasible 20 0.81232 0.98333 21.1% 21.3 20s
8118 1920 0.86622 57 95 0.81232 0.93818 15.5% 15.9 25s
11355 2434 0.90593 55 79 0.81232 0.90602 11.5% 14.3 30s
H12857 2773 0.8123183 0.89237 9.86% 14.0 33s
13787 3033 0.86066 55 100 0.81232 0.89054 9.63% 13.6 35s
17370 3857 infeasible 65 0.81232 0.87832 8.13% 13.0 40s
20260 4344 cutoff 63 0.81232 0.87369 7.56% 12.8 45s
20919 4424 0.84402 56 128 0.81232 0.87277 7.44% 12.8 63s
20924 4427 0.83506 58 188 0.81232 0.87277 7.44% 12.8 65s
20933 4433 0.84485 56 201 0.81232 0.87277 7.44% 12.8 70s
20940 4438 0.82781 61 215 0.81232 0.87277 7.44% 12.8 75s
20947 4443 0.84113 88 219 0.81232 0.87277 7.44% 12.8 80s
20953 4447 0.83723 74 210 0.81232 0.87277 7.44% 12.8 86s
20956 4449 0.87142 70 217 0.81232 0.87277 7.44% 12.8 90s
20960 4451 0.82279 78 209 0.81232 0.87277 7.44% 12.8 95s
20967 4456 0.82383 91 205 0.81232 0.87277 7.44% 12.8 101s
20972 4459 0.84324 52 212 0.81232 0.87277 7.44% 12.8 105s
20977 4463 0.86555 67 218 0.81232 0.87277 7.44% 12.8 111s
20981 4465 0.86958 72 218 0.81232 0.87277 7.44% 12.8 115s
20984 4467 0.84389 59 220 0.81232 0.87277 7.44% 12.8 120s
20990 4471 0.84208 78 230 0.81232 0.87277 7.44% 12.8 126s
20994 4474 0.85646 62 228 0.81232 0.87277 7.44% 12.8 130s
20999 4477 0.82858 68 224 0.81232 0.87277 7.44% 12.8 135s
21004 4481 0.82031 90 231 0.81232 0.87277 7.44% 12.8 140s
21007 4483 0.81585 104 228 0.81232 0.87277 7.44% 12.8 145s
21013 4487 0.84323 96 234 0.81232 0.87277 7.44% 12.8 150s
21016 4489 0.85453 85 235 0.81232 0.87277 7.44% 12.8 155s
21020 4491 0.83649 52 239 0.81232 0.87277 7.44% 12.8 161s
21023 4493 0.85257 76 237 0.81232 0.87277 7.44% 12.8 165s
21026 4495 0.85933 42 233 0.81232 0.87277 7.44% 12.8 170s
21029 4497 0.84564 82 241 0.81232 0.87277 7.44% 12.8 175s
21032 4499 0.84034 81 235 0.81232 0.87277 7.44% 12.8 181s
21036 4502 0.83154 70 243 0.81232 0.87277 7.44% 12.8 185s
21040 4505 0.82781 61 251 0.81232 0.87277 7.44% 12.8 190s
21044 4507 0.83476 48 252 0.81232 0.87277 7.44% 12.8 195s
21048 4510 0.84155 74 237 0.81232 0.87277 7.44% 12.8 200s
21052 4513 0.86930 62 247 0.81232 0.87277 7.44% 12.8 206s
21056 4515 0.87142 70 257 0.81232 0.87277 7.44% 12.8 210s
21061 4519 0.84289 72 263 0.81232 0.87277 7.44% 12.8 215s
H21063 4291 0.8123183 0.87277 7.44% 12.7 221s
21066 4293 0.86465 71 258 0.81232 0.87277 7.44% 12.7 226s
21069 4295 0.84488 74 261 0.81232 0.87277 7.44% 12.7 230s
H21074 4081 0.8123183 0.87277 7.44% 12.7 236s
21078 4084 0.84104 70 253 0.81232 0.87277 7.44% 12.7 240s
21081 4086 0.86958 72 261 0.81232 0.87277 7.44% 12.7 245s
21086 4089 0.86268 58 254 0.81232 0.87277 7.44% 12.7 250s
21090 4092 0.84208 78 259 0.81232 0.87277 7.44% 12.7 255s
21093 4094 0.85271 61 246 0.81232 0.87277 7.44% 12.7 260s
21097 4097 0.82164 70 249 0.81232 0.87277 7.44% 12.7 266s
H21099 3890 0.8125401 0.87277 7.41% 12.7 269s
21101 3891 0.84902 64 260 0.81254 0.87277 7.41% 12.7 270s
H21103 3695 0.8128355 0.87277 7.37% 12.7 277s
21106 3697 0.87013 71 262 0.81284 0.87277 7.37% 12.7 281s
21110 3699 0.84705 70 270 0.81284 0.87277 7.37% 12.7 285s
21116 3703 0.85453 85 266 0.81284 0.87277 7.37% 12.7 290s
21119 3705 0.84402 56 265 0.81284 0.87277 7.37% 12.7 295s
21124 3709 0.83506 58 267 0.81284 0.87277 7.37% 12.7 300s
21127 3711 0.86956 46 262 0.81284 0.87277 7.37% 12.7 306s
21130 3713 0.82233 72 265 0.81284 0.87277 7.37% 12.7 310s
21135 3716 0.81493 96 267 0.81284 0.87277 7.37% 12.7 315s
21140 3719 0.82781 61 270 0.81284 0.87277 7.37% 12.7 320s
H21140 3529 0.8128355 0.87277 7.37% 12.7 322s
21143 3531 0.84073 76 259 0.81284 0.87277 7.37% 12.7 325s
21145 3534 0.87277 25 227 0.81284 0.87277 7.37% 15.0 334s
21147 3534 0.85343 26 202 0.81284 0.87277 7.37% 15.0 342s
21171 3534 cutoff 32 0.81284 0.87277 7.37% 15.2 345s
21236 3509 infeasible 35 0.81284 0.87277 7.37% 15.9 351s
21245 3507 infeasible 35 0.81284 0.87277 7.37% 16.2 355s
21419 3477 0.83811 63 141 0.81284 0.87277 7.37% 17.3 360s
H21582 3311 0.8128355 0.87277 7.37% 17.6 364s
21585 3311 0.86785 39 196 0.81284 0.87277 7.37% 17.7 365s
21915 3324 0.85841 46 164 0.81284 0.85943 5.73% 18.5 370s
22334 3376 0.85112 46 163 0.81284 0.85777 5.53% 19.2 375s
22803 3435 0.83667 50 150 0.81284 0.85552 5.25% 19.9 380s
23344 3522 0.84096 53 153 0.81284 0.85439 5.11% 20.8 385s
23936 3608 0.84170 51 157 0.81284 0.85234 4.86% 21.5 390s
24531 3690 0.83867 60 163 0.81284 0.85108 4.70% 22.4 396s
25120 3807 0.83898 57 175 0.81284 0.84993 4.56% 22.9 401s
25587 3864 0.84119 57 127 0.81284 0.84907 4.46% 23.4 406s
26041 3921 0.84369 48 150 0.81284 0.84836 4.37% 23.9 411s
26349 3945 0.83965 48 141 0.81284 0.84796 4.32% 24.1 415s
26874 3987 infeasible 53 0.81284 0.84730 4.24% 24.6 420s
27460 3944 0.83446 55 150 0.81284 0.84627 4.11% 25.1 426s
28049 3831 infeasible 51 0.81284 0.84503 3.96% 25.7 431s
28790 3729 0.83215 51 116 0.81284 0.84349 3.77% 26.3 437s
29402 3589 0.81476 65 43 0.81284 0.84237 3.63% 26.8 442s
29825 3498 0.83779 55 124 0.81284 0.84137 3.51% 27.0 445s
30549 3284 0.83512 52 118 0.81284 0.83948 3.28% 27.5 451s
31095 3287 infeasible 52 0.81284 0.83889 3.21% 27.7 456s
31124 3214 infeasible 53 0.81284 0.83877 3.19% 27.7 460s
32057 3326 0.81396 64 99 0.81284 0.83768 3.06% 28.1 467s
32422 3351 infeasible 60 0.81284 0.83658 2.92% 28.3 470s
33311 3453 infeasible 57 0.81284 0.83536 2.77% 28.7 477s
33609 3428 0.82898 59 158 0.81284 0.83462 2.68% 28.9 480s
34323 3514 infeasible 59 0.81284 0.83372 2.57% 29.2 487s
34369 3439 cutoff 68 0.81284 0.83356 2.55% 29.2 490s
35215 3498 0.82769 51 143 0.81284 0.83244 2.41% 29.4 495s
36240 3439 infeasible 59 0.81284 0.83092 2.23% 29.6 501s
36880 3402 infeasible 61 0.81284 0.83009 2.12% 29.7 505s
37920 3339 0.82792 55 113 0.81284 0.82862 1.94% 29.8 511s
38754 3230 cutoff 60 0.81284 0.82735 1.79% 29.9 515s
39667 3026 0.82162 61 90 0.81284 0.82593 1.61% 30.0 520s
40821 2911 0.82375 54 87 0.81284 0.82468 1.46% 29.9 526s
41853 2731 infeasible 63 0.81284 0.82336 1.30% 29.9 530s
42967 2557 infeasible 63 0.81284 0.82181 1.10% 29.8 535s
Cutting planes:
Learned: 3
Gomory: 185
Cover: 13
Implied bound: 57
Projected implied bound: 37
Clique: 18
MIR: 270
StrongCG: 9
Flow cover: 612
Flow path: 3
Inf proof: 100
Explored 43549 nodes (1295784 simplex iterations) in 537.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.812836 0.812836 0.812836 ... 0.812318
Optimal solution found (tolerance 1.00e-02)
Best objective 8.128355004105e-01, best bound 8.208286624362e-01, gap 0.9834%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt2gz4kc2.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpchz7has1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.802842
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.196318e+00, 1391 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19632 0 121 0.80284 1.19632 49.0% - 0s
0 0 1.16808 0 132 0.80284 1.16808 45.5% - 0s
0 0 1.16797 0 128 0.80284 1.16797 45.5% - 0s
0 0 1.14572 0 118 0.80284 1.14572 42.7% - 0s
0 0 1.14568 0 116 0.80284 1.14568 42.7% - 0s
0 0 1.14404 0 123 0.80284 1.14404 42.5% - 0s
0 0 1.14318 0 121 0.80284 1.14318 42.4% - 0s
0 0 1.14242 0 130 0.80284 1.14242 42.3% - 0s
0 0 1.14239 0 130 0.80284 1.14239 42.3% - 0s
0 0 1.14208 0 126 0.80284 1.14208 42.3% - 0s
0 0 1.14184 0 124 0.80284 1.14184 42.2% - 0s
0 0 1.14176 0 124 0.80284 1.14176 42.2% - 0s
0 0 1.14164 0 122 0.80284 1.14164 42.2% - 0s
0 0 1.14164 0 122 0.80284 1.14164 42.2% - 0s
0 0 1.14164 0 120 0.80284 1.14164 42.2% - 0s
0 2 1.14164 0 115 0.80284 1.14164 42.2% - 0s
746 523 1.06697 10 128 0.80284 1.06697 32.9% 16.9 5s
2102 795 1.01314 20 129 0.80284 1.05546 31.5% 17.6 10s
H 2577 941 0.8029554 1.03925 29.4% 18.4 11s
3565 1348 0.89314 29 142 0.80296 1.02674 27.9% 18.6 15s
H 5116 1988 0.8033121 1.01035 25.8% 18.0 19s
H 5132 1989 0.8038544 1.01035 25.7% 18.0 19s
5133 1975 infeasible 38 0.80385 1.00928 25.6% 18.0 20s
7639 2201 infeasible 37 0.80385 0.96367 19.9% 16.4 25s
11032 3059 infeasible 67 0.80385 0.93845 16.7% 14.7 30s
14177 3887 0.91172 63 111 0.80385 0.92914 15.6% 14.0 35s
16885 4276 0.87403 64 102 0.80385 0.92011 14.5% 14.0 40s
18522 4479 0.82369 64 69 0.80385 0.91635 14.0% 14.0 45s
20512 4681 0.81719 51 120 0.80385 0.90834 13.0% 14.0 65s
20524 4689 0.85167 79 190 0.80385 0.90834 13.0% 13.9 70s
20530 4693 0.83615 83 194 0.80385 0.90834 13.0% 13.9 75s
20535 4696 0.81944 81 199 0.80385 0.90834 13.0% 13.9 80s
20541 4700 0.89833 58 205 0.80385 0.90834 13.0% 13.9 85s
20547 4704 0.87164 45 207 0.80385 0.90834 13.0% 13.9 90s
20554 4709 0.90154 78 220 0.80385 0.90834 13.0% 13.9 95s
20561 4714 0.84298 34 227 0.80385 0.90834 13.0% 13.9 100s
20568 4718 0.90141 67 224 0.80385 0.90834 13.0% 13.9 106s
20573 4722 0.81964 68 236 0.80385 0.90834 13.0% 13.9 110s
20579 4726 0.85916 67 238 0.80385 0.90834 13.0% 13.9 115s
20586 4730 0.89725 59 242 0.80385 0.90834 13.0% 13.9 120s
20592 4734 0.89567 75 247 0.80385 0.90834 13.0% 13.9 125s
20598 4738 0.89591 68 251 0.80385 0.90834 13.0% 13.9 130s
20604 4742 0.87159 50 258 0.80385 0.90834 13.0% 13.9 135s
20608 4745 0.89229 66 255 0.80385 0.90834 13.0% 13.9 140s
20612 4748 0.81719 51 257 0.80385 0.90834 13.0% 13.9 145s
20617 4751 0.88370 53 264 0.80385 0.90834 13.0% 13.9 150s
20622 4754 0.90226 57 256 0.80385 0.90834 13.0% 13.9 156s
H20625 4516 0.8039647 0.90834 13.0% 13.9 162s
20629 4519 0.87749 54 261 0.80396 0.90834 13.0% 13.9 165s
20633 4522 0.84575 64 270 0.80396 0.90834 13.0% 13.9 170s
20638 4525 0.89001 61 255 0.80396 0.90834 13.0% 13.9 175s
20643 4528 0.87429 77 268 0.80396 0.90834 13.0% 13.9 180s
20647 4531 0.87164 45 271 0.80396 0.90834 13.0% 13.9 185s
20652 4534 0.85884 45 267 0.80396 0.90834 13.0% 13.9 190s
20659 4539 0.88834 81 277 0.80396 0.90834 13.0% 13.9 195s
20665 4543 0.88416 74 279 0.80396 0.90834 13.0% 13.9 200s
20671 4547 0.85755 55 275 0.80396 0.90834 13.0% 13.8 205s
20674 4549 0.81437 91 272 0.80396 0.90834 13.0% 13.8 210s
20678 4552 0.85811 74 263 0.80396 0.90784 12.9% 13.8 215s
20684 4556 0.83774 80 278 0.80396 0.90623 12.7% 13.8 220s
20689 4559 0.90094 69 281 0.80396 0.90548 12.6% 13.8 225s
20694 4562 0.81811 78 276 0.80396 0.90504 12.6% 13.8 230s
20700 4566 0.80631 101 281 0.80396 0.90447 12.5% 13.8 235s
20705 4570 0.88479 61 282 0.80396 0.90389 12.4% 13.8 240s
20711 4574 0.81764 121 283 0.80396 0.90344 12.4% 13.8 245s
20715 4576 0.89762 61 287 0.80396 0.90322 12.3% 13.8 250s
20719 4579 0.90314 68 283 0.80396 0.90314 12.3% 13.8 255s
20723 4582 0.90275 24 274 0.80396 0.90275 12.3% 15.7 267s
20724 4582 0.90187 25 242 0.80396 0.90187 12.2% 15.7 271s
20725 4583 0.87998 26 244 0.80396 0.90131 12.1% 15.7 277s
20733 4585 0.84668 29 218 0.80396 0.89376 11.2% 15.8 280s
H20789 4341 0.8039647 0.89376 11.2% 16.0 284s
20855 4337 0.80503 47 151 0.80396 0.88983 10.7% 16.1 285s
21377 4350 0.81931 46 169 0.80396 0.88476 10.0% 16.8 290s
22438 4385 0.86147 46 159 0.80396 0.87533 8.88% 17.3 295s
23554 4460 0.83278 56 133 0.80396 0.86703 7.84% 17.5 300s
24518 4422 cutoff 56 0.80396 0.85997 6.97% 17.8 305s
26001 4352 infeasible 42 0.80396 0.85132 5.89% 18.0 310s
27198 4240 0.84602 50 123 0.80396 0.84602 5.23% 18.1 315s
28694 3971 0.83156 54 98 0.80396 0.84074 4.57% 18.3 320s
30302 3721 0.82767 62 81 0.80396 0.83623 4.01% 18.4 325s
32086 3227 infeasible 55 0.80396 0.83161 3.44% 18.4 331s
33427 2859 infeasible 61 0.80396 0.82877 3.09% 18.4 335s
34734 2721 infeasible 56 0.80396 0.82619 2.76% 18.4 340s
36375 2672 0.81388 62 139 0.80396 0.82335 2.41% 18.3 345s
37600 2482 0.80958 56 104 0.80396 0.82059 2.07% 18.3 350s
39634 2221 cutoff 74 0.80396 0.81727 1.65% 18.2 355s
41018 1909 infeasible 70 0.80396 0.81484 1.35% 18.0 360s
Cutting planes:
Gomory: 80
Cover: 4
Implied bound: 14
Projected implied bound: 13
Clique: 4
MIR: 54
StrongCG: 2
Flow cover: 245
Flow path: 1
Inf proof: 15
Explored 42612 nodes (764612 simplex iterations) in 363.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.803965 0.803965 0.803854 ... 0.802842
Optimal solution found (tolerance 1.00e-02)
Best objective 8.039647259604e-01, best bound 8.119465954541e-01, gap 0.9928%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpglgs1ep2.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa_jhkea2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794489
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.178498e+00, 1314 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17850 0 123 0.79449 1.17850 48.3% - 0s
0 0 1.15132 0 134 0.79449 1.15132 44.9% - 0s
0 0 1.15122 0 133 0.79449 1.15122 44.9% - 0s
0 0 1.11715 0 123 0.79449 1.11715 40.6% - 0s
0 0 1.11710 0 123 0.79449 1.11710 40.6% - 0s
0 0 1.11600 0 136 0.79449 1.11600 40.5% - 0s
0 0 1.11519 0 131 0.79449 1.11519 40.4% - 0s
0 0 1.11434 0 140 0.79449 1.11434 40.3% - 0s
0 0 1.11431 0 141 0.79449 1.11431 40.3% - 0s
0 0 1.11406 0 138 0.79449 1.11406 40.2% - 0s
0 0 1.11385 0 138 0.79449 1.11385 40.2% - 0s
0 0 1.11383 0 138 0.79449 1.11383 40.2% - 0s
0 0 1.11371 0 136 0.79449 1.11371 40.2% - 0s
0 0 1.11371 0 134 0.79449 1.11371 40.2% - 0s
0 0 1.11371 0 126 0.79449 1.11371 40.2% - 0s
0 2 1.11371 0 124 0.79449 1.11371 40.2% - 0s
758 548 0.91267 49 144 0.79449 1.05400 32.7% 15.2 5s
1185 582 0.82676 26 131 0.79449 1.03031 29.7% 23.9 10s
2564 889 0.89940 30 105 0.79449 1.00114 26.0% 21.4 16s
4254 1375 infeasible 36 0.79449 0.96879 21.9% 19.4 20s
7131 1831 0.80748 94 80 0.79449 0.92180 16.0% 16.1 25s
10745 2809 infeasible 63 0.79449 0.90448 13.8% 14.1 30s
H12863 3279 0.7944891 0.89023 12.1% 13.3 34s
13112 3285 0.88788 49 104 0.79449 0.88920 11.9% 13.3 35s
16484 4046 0.86881 70 83 0.79449 0.87714 10.4% 12.4 40s
19017 4469 infeasible 77 0.79449 0.87024 9.53% 12.3 46s
20332 4562 cutoff 92 0.79449 0.86630 9.04% 12.3 50s
20544 4520 0.79809 91 62 0.79449 0.86583 8.98% 12.3 67s
21976 4791 0.81381 83 49 0.79449 0.86374 8.72% 12.4 70s
24048 4931 infeasible 50 0.79449 0.85965 8.20% 12.6 75s
26364 4971 infeasible 53 0.79449 0.85408 7.50% 13.0 80s
28209 4910 infeasible 63 0.79449 0.85010 7.00% 13.4 85s
30452 5035 0.80704 74 62 0.79449 0.84628 6.52% 13.6 90s
32395 5063 cutoff 76 0.79449 0.84328 6.14% 13.7 95s
34424 4893 cutoff 84 0.79449 0.83920 5.63% 14.0 100s
36231 4769 infeasible 72 0.79449 0.83593 5.22% 14.2 105s
38147 4494 infeasible 76 0.79449 0.83169 4.68% 14.5 110s
39720 4139 infeasible 95 0.79449 0.82821 4.24% 14.7 115s
41391 3850 0.81850 60 116 0.79449 0.82460 3.79% 14.8 120s
43014 3371 0.81999 74 66 0.79449 0.82070 3.30% 15.0 125s
44452 2978 infeasible 77 0.79449 0.81744 2.89% 15.1 130s
46104 2413 infeasible 69 0.79449 0.81281 2.31% 15.2 135s
47396 1985 0.80293 79 62 0.79449 0.80947 1.89% 15.2 140s
49205 1303 cutoff 90 0.79449 0.80443 1.25% 15.3 145s
Cutting planes:
Learned: 1
Gomory: 106
Cover: 5
Implied bound: 70
Projected implied bound: 29
Clique: 1
MIR: 46
Flow cover: 143
Flow path: 4
Inf proof: 399
Explored 50256 nodes (765853 simplex iterations) in 147.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.794489 0.794489
Optimal solution found (tolerance 1.00e-02)
Best objective 7.944891340816e-01, best bound 8.017852466997e-01, gap 0.9183%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ns5odmn.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa65my03e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.783471
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.169659e+00, 1536 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16966 0 123 0.78347 1.16966 49.3% - 0s
0 0 1.14299 0 135 0.78347 1.14299 45.9% - 0s
0 0 1.14288 0 133 0.78347 1.14288 45.9% - 0s
0 0 1.12211 0 125 0.78347 1.12211 43.2% - 0s
0 0 1.12072 0 127 0.78347 1.12072 43.0% - 0s
0 0 1.11983 0 135 0.78347 1.11983 42.9% - 0s
0 0 1.11983 0 136 0.78347 1.11983 42.9% - 0s
0 0 1.11943 0 137 0.78347 1.11943 42.9% - 0s
0 0 1.11933 0 139 0.78347 1.11933 42.9% - 0s
0 0 1.11927 0 139 0.78347 1.11927 42.9% - 0s
0 0 1.11902 0 137 0.78347 1.11902 42.8% - 0s
0 0 1.11902 0 138 0.78347 1.11902 42.8% - 0s
0 0 1.11892 0 136 0.78347 1.11892 42.8% - 0s
0 0 1.11892 0 136 0.78347 1.11892 42.8% - 0s
0 0 1.11892 0 126 0.78347 1.11892 42.8% - 0s
0 2 1.11892 0 125 0.78347 1.11892 42.8% - 0s
788 545 0.93556 53 158 0.78347 1.05045 34.1% 11.1 5s
1584 655 infeasible 25 0.78347 1.04251 33.1% 18.9 10s
3850 1358 0.98042 37 128 0.78347 0.99093 26.5% 15.5 15s
5683 1473 0.92954 37 105 0.78347 0.95468 21.9% 14.9 20s
7505 1896 0.84864 58 129 0.78347 0.93411 19.2% 14.5 25s
10448 2703 0.84071 72 115 0.78347 0.92202 17.7% 13.7 30s
12978 3510 0.79142 127 37 0.78347 0.91390 16.6% 13.3 35s
15508 3905 0.80991 75 104 0.78347 0.90481 15.5% 13.2 40s
17643 4033 infeasible 86 0.78347 0.89537 14.3% 13.3 45s
20002 4201 0.85355 74 91 0.78347 0.88306 12.7% 13.3 50s
20747 4368 0.82325 74 126 0.78347 0.87892 12.2% 13.2 69s
20750 4370 0.85439 51 134 0.78347 0.87892 12.2% 13.2 70s
20764 4379 0.84412 61 199 0.78347 0.87892 12.2% 13.2 75s
20773 4385 0.84847 100 199 0.78347 0.87892 12.2% 13.2 81s
20780 4390 0.82994 73 193 0.78347 0.87892 12.2% 13.2 86s
20789 4396 0.84024 64 209 0.78347 0.87892 12.2% 13.2 90s
20794 4399 0.79642 113 208 0.78347 0.87753 12.0% 13.2 95s
20799 4403 0.86456 56 218 0.78347 0.87642 11.9% 13.2 100s
20803 4405 0.83711 52 221 0.78347 0.87580 11.8% 13.1 105s
20807 4408 0.83594 111 224 0.78347 0.87410 11.6% 13.1 110s
20812 4411 0.79537 90 244 0.78347 0.87315 11.4% 13.1 115s
20818 4415 0.83128 83 248 0.78347 0.86968 11.0% 13.1 120s
20821 4417 0.86751 58 250 0.78347 0.86778 10.8% 13.1 126s
20823 4419 0.85218 71 253 0.78347 0.86719 10.7% 13.1 130s
20826 4421 0.80934 99 257 0.78347 0.86625 10.6% 13.1 135s
20829 4423 0.81938 85 253 0.78347 0.86449 10.3% 13.1 141s
20833 4425 0.81092 60 252 0.78347 0.86337 10.2% 13.1 145s
20836 4427 0.78707 110 256 0.78347 0.86301 10.2% 13.1 151s
20839 4429 0.79168 100 258 0.78347 0.86267 10.1% 13.1 157s
20841 4431 0.86050 83 262 0.78347 0.86262 10.1% 13.1 160s
20845 4433 0.81754 58 261 0.78347 0.86249 10.1% 13.1 165s
20848 4435 0.79745 86 263 0.78347 0.86246 10.1% 13.1 170s
20853 4439 0.79422 68 261 0.78347 0.86236 10.1% 13.1 175s
20857 4441 0.84698 74 251 0.78347 0.86208 10.0% 13.1 180s
20861 4444 0.83517 52 258 0.78347 0.86183 10.0% 13.1 185s
20865 4447 0.86160 72 259 0.78347 0.86160 10.0% 13.1 190s
20868 4449 0.86110 71 260 0.78347 0.86110 9.91% 13.1 195s
20870 4450 0.82686 56 259 0.78347 0.86082 9.87% 13.1 200s
20873 4452 0.84847 100 252 0.78347 0.85994 9.76% 13.1 207s
20875 4453 0.81506 65 260 0.78347 0.85939 9.69% 13.1 211s
20877 4455 0.85647 56 258 0.78347 0.85894 9.63% 13.1 216s
20879 4456 0.85850 56 259 0.78347 0.85850 9.58% 13.1 220s
20883 4459 0.80750 105 254 0.78347 0.85798 9.51% 13.1 226s
20887 4461 0.82282 84 266 0.78347 0.85718 9.41% 13.1 232s
20889 4463 0.84024 64 265 0.78347 0.85695 9.38% 13.1 235s
20893 4465 0.83237 73 277 0.78347 0.85646 9.32% 13.1 240s
20897 4468 0.78904 126 262 0.78347 0.85548 9.19% 13.1 245s
20902 4471 0.79428 69 272 0.78347 0.85391 8.99% 13.1 251s
20905 4473 0.80962 72 270 0.78347 0.85377 8.97% 13.1 255s
20909 4476 0.84805 64 272 0.78347 0.85365 8.96% 13.1 260s
20914 4479 0.81998 68 273 0.78347 0.85338 8.92% 13.1 265s
20919 4483 0.81792 89 274 0.78347 0.85323 8.90% 13.1 270s
20924 4486 0.82559 60 268 0.78347 0.85276 8.84% 13.1 276s
20927 4488 0.84817 65 274 0.78347 0.85270 8.84% 13.1 280s
20932 4491 0.85258 75 270 0.78347 0.85258 8.82% 13.1 286s
20934 4493 0.80296 108 277 0.78347 0.85234 8.79% 13.1 290s
20938 4495 0.81718 78 268 0.78347 0.85191 8.74% 13.1 296s
20943 4499 0.85177 65 269 0.78347 0.85177 8.72% 13.1 300s
20948 4502 0.79745 86 270 0.78347 0.85103 8.62% 13.1 305s
20954 4506 0.80722 48 273 0.78347 0.85067 8.58% 13.1 310s
20959 4509 0.84695 74 276 0.78347 0.85049 8.55% 13.1 315s
20964 4513 0.84412 61 278 0.78347 0.85010 8.50% 13.0 321s
20969 4516 0.79939 66 292 0.78347 0.84995 8.49% 13.0 325s
20974 4520 infeasible 23 0.78347 0.84777 8.21% 15.7 335s
20976 4520 0.84606 24 262 0.78347 0.84725 8.14% 15.7 342s
20978 4520 0.84424 25 266 0.78347 0.84510 7.87% 15.7 349s
20983 4520 0.84142 27 263 0.78347 0.84377 7.70% 15.8 350s
H21004 4287 0.7834709 0.84134 7.39% 16.1 353s
21037 4291 cutoff 40 0.78347 0.84128 7.38% 16.4 355s
H21098 4077 0.7834709 0.84022 7.24% 16.7 357s
21227 4059 0.78827 61 157 0.78347 0.83858 7.03% 17.4 360s
21451 4042 infeasible 44 0.78347 0.83816 6.98% 18.6 365s
21798 4067 0.79615 63 128 0.78347 0.83155 6.14% 19.9 370s
22263 4107 infeasible 54 0.78347 0.83002 5.94% 21.6 375s
22689 4107 infeasible 78 0.78347 0.82914 5.83% 22.6 380s
23129 4125 0.82138 50 170 0.78347 0.82796 5.68% 24.1 386s
23515 4144 0.81117 58 145 0.78347 0.82693 5.55% 25.2 391s
23823 4160 0.82154 52 149 0.78347 0.82619 5.45% 25.9 395s
24250 4169 0.80367 63 119 0.78347 0.82553 5.37% 26.8 400s
24971 4220 0.79671 67 89 0.78347 0.82426 5.21% 27.8 405s
25672 4158 0.81592 51 148 0.78347 0.82333 5.09% 28.8 411s
26190 4152 0.81986 57 153 0.78347 0.82203 4.92% 29.5 416s
26493 4103 0.80657 60 113 0.78347 0.82117 4.81% 30.0 420s
27436 4023 infeasible 57 0.78347 0.81985 4.64% 31.2 427s
27833 3950 0.80594 58 138 0.78347 0.81860 4.48% 31.9 432s
28176 3882 0.81493 58 125 0.78347 0.81803 4.41% 32.3 435s
28994 3794 cutoff 63 0.78347 0.81668 4.24% 33.1 440s
29764 3650 0.81477 59 123 0.78347 0.81490 4.01% 33.9 447s
30207 3569 cutoff 60 0.78347 0.81438 3.94% 34.4 450s
31040 3394 cutoff 78 0.78347 0.81259 3.72% 35.3 458s
31510 3301 infeasible 63 0.78347 0.81166 3.60% 35.8 462s
32018 3221 0.78923 63 99 0.78347 0.81058 3.46% 36.3 466s
32324 3148 cutoff 52 0.78347 0.81036 3.43% 36.6 470s
33165 2973 infeasible 55 0.78347 0.80926 3.29% 37.3 477s
33626 3048 0.79932 62 97 0.78347 0.80868 3.22% 37.5 481s
34118 3123 0.80093 61 122 0.78347 0.80769 3.09% 37.9 486s
34790 3110 infeasible 60 0.78347 0.80675 2.97% 38.3 492s
35241 3137 0.80101 61 91 0.78347 0.80597 2.87% 38.4 495s
36031 3149 0.79886 60 84 0.78347 0.80481 2.72% 38.9 500s
36827 3127 cutoff 48 0.78347 0.80427 2.65% 39.3 506s
37635 3107 0.79615 57 91 0.78347 0.80291 2.48% 39.6 511s
38437 3082 0.79138 64 75 0.78347 0.80188 2.35% 39.7 516s
39148 3021 infeasible 67 0.78347 0.80097 2.23% 40.0 521s
39893 2962 0.78676 62 80 0.78347 0.80013 2.13% 40.2 526s
40361 2849 0.79274 70 91 0.78347 0.79929 2.02% 40.5 530s
41457 2651 infeasible 63 0.78347 0.79772 1.82% 40.8 536s
42189 2489 infeasible 61 0.78347 0.79653 1.67% 40.9 540s
43052 2231 0.78917 59 85 0.78347 0.79495 1.47% 41.2 546s
43970 1998 cutoff 66 0.78347 0.79336 1.26% 41.2 550s
44927 1683 cutoff 68 0.78347 0.79151 1.03% 41.2 555s
Cutting planes:
Learned: 3
Gomory: 182
Cover: 23
Implied bound: 59
Projected implied bound: 55
Clique: 22
MIR: 367
StrongCG: 2
Flow cover: 900
Flow path: 4
GUB cover: 1
Inf proof: 196
Zero half: 1
Network: 1
Explored 45130 nodes (1861687 simplex iterations) in 555.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.783471 0.783471 0.783471
Optimal solution found (tolerance 1.00e-02)
Best objective 7.834708893525e-01, best bound 7.911674511474e-01, gap 0.9824%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4awkctp4.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4oic4936.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.774566
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.151514e+00, 1494 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15151 0 121 0.77457 1.15151 48.7% - 0s
0 0 1.12542 0 130 0.77457 1.12542 45.3% - 0s
0 0 1.12532 0 128 0.77457 1.12532 45.3% - 0s
0 0 1.10520 0 121 0.77457 1.10520 42.7% - 0s
0 0 1.10516 0 119 0.77457 1.10516 42.7% - 0s
0 0 1.10469 0 131 0.77457 1.10469 42.6% - 0s
0 0 1.10388 0 129 0.77457 1.10388 42.5% - 0s
0 0 1.10316 0 138 0.77457 1.10316 42.4% - 0s
0 0 1.10312 0 140 0.77457 1.10312 42.4% - 0s
0 0 1.10283 0 135 0.77457 1.10283 42.4% - 0s
0 0 1.10261 0 135 0.77457 1.10261 42.4% - 0s
0 0 1.10261 0 135 0.77457 1.10261 42.4% - 0s
0 0 1.10249 0 133 0.77457 1.10249 42.3% - 0s
0 0 1.10249 0 128 0.77457 1.10249 42.3% - 0s
0 2 1.10249 0 128 0.77457 1.10249 42.3% - 0s
790 517 1.03314 13 145 0.77457 1.03314 33.4% 19.8 5s
2145 656 0.98138 30 149 0.77457 1.00868 30.2% 22.7 10s
H 3868 1121 0.7745658 0.95670 23.5% 21.1 13s
4724 1549 infeasible 76 0.77457 0.94736 22.3% 19.2 15s
8882 2676 infeasible 55 0.77457 0.90888 17.3% 16.2 20s
13230 3493 0.86159 54 87 0.77457 0.87564 13.0% 14.3 25s
17416 4743 infeasible 80 0.77457 0.85428 10.3% 12.9 30s
20647 5535 0.78420 120 128 0.77457 0.84433 9.01% 12.5 49s
20649 5536 0.78177 87 125 0.77457 0.84433 9.01% 12.5 50s
20660 5544 0.77736 140 213 0.77457 0.84433 9.01% 12.5 55s
20665 5547 0.82067 67 214 0.77457 0.84433 9.01% 12.5 60s
20672 5552 0.79134 96 242 0.77457 0.84433 9.01% 12.5 65s
20676 5554 0.83945 56 236 0.77457 0.84433 9.01% 12.5 70s
20680 5557 0.79289 79 245 0.77457 0.84433 9.01% 12.5 75s
20685 5560 0.82652 81 248 0.77457 0.84433 9.01% 12.5 81s
20689 5563 0.78481 106 245 0.77457 0.84433 9.01% 12.5 86s
20692 5565 0.77894 110 253 0.77457 0.84433 9.01% 12.5 90s
20696 5568 0.81715 78 251 0.77457 0.84433 9.01% 12.5 95s
20700 5570 0.80224 116 263 0.77457 0.84433 9.01% 12.5 100s
20704 5573 0.78801 100 259 0.77457 0.84433 9.01% 12.5 105s
20708 5576 0.78190 174 268 0.77457 0.84433 9.01% 12.5 110s
20712 5578 0.80218 109 266 0.77457 0.84433 9.01% 12.5 115s
20716 5581 0.80162 95 269 0.77457 0.84433 9.01% 12.5 120s
20719 5583 0.79356 108 264 0.77457 0.84433 9.01% 12.5 125s
20723 5586 0.83324 121 269 0.77457 0.84433 9.01% 12.5 130s
20727 5588 0.79839 82 252 0.77457 0.84433 9.01% 12.5 135s
20733 5592 0.82842 66 247 0.77457 0.84433 9.01% 12.5 141s
20737 5595 0.78372 107 258 0.77457 0.84433 9.01% 12.5 146s
20740 5597 0.81992 104 266 0.77457 0.84433 9.01% 12.5 150s
20744 5600 0.78484 109 258 0.77457 0.84433 9.01% 12.5 155s
20748 5602 0.78168 106 266 0.77457 0.84433 9.01% 12.5 160s
20752 5605 0.79028 146 265 0.77457 0.84433 9.01% 12.5 165s
20756 5608 0.78821 171 265 0.77457 0.84433 9.01% 12.5 170s
20759 5610 0.78114 72 261 0.77457 0.84433 9.01% 12.5 175s
20765 5614 0.82067 67 265 0.77457 0.84433 9.01% 12.5 182s
20767 5615 0.77761 90 262 0.77457 0.84433 9.01% 12.5 185s
20771 5618 0.84217 67 261 0.77457 0.84433 9.01% 12.5 192s
20775 5620 0.79154 74 265 0.77457 0.84433 9.01% 12.4 196s
20779 5623 0.81681 68 272 0.77457 0.84433 9.01% 12.4 201s
20783 5626 0.83166 66 275 0.77457 0.84433 9.01% 12.4 206s
20786 5628 0.78935 90 280 0.77457 0.84433 9.01% 12.4 210s
20789 5630 0.78481 106 277 0.77457 0.84433 9.01% 12.4 215s
20795 5634 0.78899 78 271 0.77457 0.84433 9.01% 12.4 220s
20801 5638 0.80085 130 272 0.77457 0.84433 9.01% 12.4 225s
20806 5641 0.84173 73 274 0.77457 0.84433 9.01% 12.4 230s
20811 5644 0.83265 81 278 0.77457 0.84433 9.01% 12.4 235s
20816 5648 0.80162 95 280 0.77457 0.84433 9.01% 12.4 240s
20820 5650 0.78238 141 289 0.77457 0.84433 9.01% 12.4 245s
20823 5652 0.83324 121 272 0.77457 0.84433 9.01% 12.4 250s
20827 5655 0.79839 82 283 0.77457 0.84433 9.01% 12.4 255s
20831 5658 0.79564 97 270 0.77457 0.84433 9.01% 12.4 262s
20834 5660 0.78006 169 274 0.77457 0.84433 9.01% 12.4 265s
20837 5662 0.78372 107 271 0.77457 0.84433 9.01% 12.4 270s
20841 5664 0.81476 79 276 0.77457 0.84433 9.01% 12.4 275s
20845 5667 0.81893 65 279 0.77457 0.84433 9.01% 12.4 280s
20849 5670 0.78177 87 280 0.77457 0.84433 9.01% 12.4 286s
20852 5672 0.79028 146 278 0.77457 0.84433 9.01% 12.4 290s
20855 5674 0.78892 94 277 0.77457 0.84433 9.01% 12.4 295s
20859 5676 0.78114 72 275 0.77457 0.84433 9.01% 12.4 301s
20862 5678 0.81542 90 281 0.77457 0.84433 9.01% 12.4 305s
20863 5681 0.84433 27 273 0.77457 0.84433 9.01% 14.8 312s
H20865 5392 0.7745658 0.84433 9.01% 14.8 320s
20897 5394 0.84433 37 235 0.77457 0.84433 9.01% 15.1 325s
20994 5378 cutoff 36 0.77457 0.84433 9.01% 16.1 330s
21257 5408 infeasible 42 0.77457 0.84433 9.01% 16.9 335s
21719 5488 infeasible 48 0.77457 0.84226 8.74% 18.0 340s
21964 5450 infeasible 50 0.77457 0.83608 7.94% 18.8 345s
22398 5446 0.80753 59 136 0.77457 0.82773 6.86% 19.8 350s
22902 5458 0.81004 57 156 0.77457 0.82625 6.67% 20.7 355s
23638 5409 0.80648 61 153 0.77457 0.82019 5.89% 21.7 360s
24216 5423 0.77518 81 67 0.77457 0.81652 5.42% 22.5 365s
24898 5398 0.78120 72 101 0.77457 0.81395 5.08% 23.2 370s
25712 5304 0.79517 66 116 0.77457 0.81171 4.80% 23.9 375s
26049 5283 0.79550 60 143 0.77457 0.81082 4.68% 24.1 380s
26556 5173 0.78207 61 133 0.77457 0.80891 4.43% 24.6 386s
27127 5007 infeasible 60 0.77457 0.80674 4.15% 25.3 390s
27730 4808 0.79132 63 99 0.77457 0.80419 3.82% 26.1 395s
28468 4558 0.80126 68 111 0.77457 0.80126 3.45% 26.8 400s
29349 4288 0.79631 60 134 0.77457 0.79845 3.08% 27.3 405s
30157 4012 infeasible 63 0.77457 0.79560 2.71% 27.6 410s
30937 3714 cutoff 63 0.77457 0.79325 2.41% 28.0 415s
32207 3246 0.78013 63 120 0.77457 0.79016 2.01% 28.3 421s
32950 2936 infeasible 67 0.77457 0.78877 1.83% 28.3 425s
33685 2542 cutoff 58 0.77457 0.78673 1.57% 28.6 430s
H33798 2253 0.7745658 0.78672 1.57% 28.6 430s
34997 1559 infeasible 57 0.77457 0.78313 1.11% 28.6 436s
Cutting planes:
Learned: 2
Gomory: 175
Cover: 25
Implied bound: 41
Projected implied bound: 52
Clique: 11
MIR: 215
StrongCG: 6
Flow cover: 606
Flow path: 2
Inf proof: 92
Explored 35508 nodes (1018037 simplex iterations) in 436.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.774566 0.774566 0.774566 0.774566
Optimal solution found (tolerance 1.00e-02)
Best objective 7.745658032416e-01, best bound 7.819206637365e-01, gap 0.9495%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp77kywun7.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp28s8d1hj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.768931
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.138761e+00, 1521 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13876 0 124 0.76893 1.13876 48.1% - 0s
0 0 1.11315 0 137 0.76893 1.11315 44.8% - 0s
0 0 1.11305 0 137 0.76893 1.11305 44.8% - 0s
0 0 1.09562 0 127 0.76893 1.09562 42.5% - 0s
0 0 1.09507 0 129 0.76893 1.09507 42.4% - 0s
0 0 1.09438 0 138 0.76893 1.09438 42.3% - 0s
0 0 1.09424 0 135 0.76893 1.09424 42.3% - 0s
0 0 1.09416 0 143 0.76893 1.09416 42.3% - 0s
0 0 1.09409 0 143 0.76893 1.09409 42.3% - 0s
0 0 1.09398 0 139 0.76893 1.09398 42.3% - 0s
0 0 1.09383 0 141 0.76893 1.09383 42.3% - 0s
0 0 1.09383 0 141 0.76893 1.09383 42.3% - 0s
0 0 1.09371 0 139 0.76893 1.09371 42.2% - 0s
0 0 1.09371 0 129 0.76893 1.09371 42.2% - 0s
0 2 1.09371 0 128 0.76893 1.09371 42.2% - 0s
752 509 1.03323 15 129 0.76893 1.03323 34.4% 18.5 5s
3367 1248 infeasible 27 0.76893 0.99804 29.8% 16.3 10s
7010 1789 infeasible 56 0.76893 0.92415 20.2% 14.2 15s
10088 2555 infeasible 63 0.76893 0.91208 18.6% 13.8 20s
13894 3722 infeasible 47 0.76893 0.89856 16.9% 12.7 25s
18703 4860 0.81386 75 63 0.76893 0.87767 14.1% 11.9 30s
20994 5370 0.82133 85 129 0.76893 0.87041 13.2% 11.8 50s
21007 5379 0.82647 96 211 0.76893 0.87041 13.2% 11.8 55s
21012 5382 0.79827 81 217 0.76893 0.87041 13.2% 11.8 60s
21017 5385 0.82016 75 234 0.76893 0.87041 13.2% 11.8 65s
21022 5389 0.85113 70 233 0.76893 0.87041 13.2% 11.7 71s
21026 5391 0.80009 156 233 0.76893 0.87041 13.2% 11.7 75s
21030 5394 0.84637 77 255 0.76893 0.87041 13.2% 11.7 80s
21035 5397 0.86507 61 265 0.76893 0.87041 13.2% 11.7 85s
21041 5401 0.83838 82 268 0.76893 0.87041 13.2% 11.7 90s
21047 5405 0.80712 85 256 0.76893 0.87041 13.2% 11.7 96s
21050 5407 0.84893 73 275 0.76893 0.87041 13.2% 11.7 100s
21054 5410 0.81025 74 282 0.76893 0.87041 13.2% 11.7 105s
21060 5414 0.84625 58 264 0.76893 0.87041 13.2% 11.7 110s
21063 5416 0.86009 51 249 0.76893 0.87041 13.2% 11.7 115s
21067 5419 0.77187 138 255 0.76893 0.87041 13.2% 11.7 120s
21071 5421 0.82219 79 259 0.76893 0.87041 13.2% 11.7 126s
21074 5423 0.79710 75 255 0.76893 0.87041 13.2% 11.7 130s
21078 5426 0.77889 116 249 0.76893 0.87041 13.2% 11.7 135s
21082 5429 0.80190 103 254 0.76893 0.87041 13.2% 11.7 141s
21086 5431 0.84153 57 255 0.76893 0.87041 13.2% 11.7 147s
21089 5433 0.86145 70 258 0.76893 0.87041 13.2% 11.7 150s
21092 5435 0.82008 51 257 0.76893 0.87041 13.2% 11.7 155s
21096 5438 0.77198 120 264 0.76893 0.87041 13.2% 11.7 161s
21100 5441 0.80764 69 267 0.76893 0.87041 13.2% 11.7 166s
21103 5443 0.80336 80 272 0.76893 0.87041 13.2% 11.7 170s
21107 5445 0.82647 96 262 0.76893 0.87041 13.2% 11.7 175s
21111 5448 0.83205 85 280 0.76893 0.87041 13.2% 11.7 180s
21115 5451 0.83368 64 283 0.76893 0.87041 13.2% 11.7 185s
21118 5453 0.83109 65 269 0.76893 0.87041 13.2% 11.7 191s
21121 5455 0.84218 74 291 0.76893 0.87041 13.2% 11.7 195s
21124 5457 0.79148 79 273 0.76893 0.87041 13.2% 11.7 202s
H21125 5181 0.7689315 0.87041 13.2% 11.7 205s
21129 5184 0.77462 122 279 0.76893 0.87041 13.2% 11.7 210s
H21129 4923 0.7689315 0.87041 13.2% 11.7 213s
21133 4926 0.79023 104 291 0.76893 0.87041 13.2% 11.7 217s
21136 4928 0.82973 106 283 0.76893 0.87041 13.2% 11.7 220s
21141 4931 0.83838 82 281 0.76893 0.87041 13.2% 11.7 226s
21145 4934 0.86819 60 274 0.76893 0.87041 13.2% 11.7 231s
21148 4936 0.85168 74 280 0.76893 0.87041 13.2% 11.7 235s
21152 4938 0.83168 103 282 0.76893 0.87041 13.2% 11.7 241s
21155 4940 0.79994 162 294 0.76893 0.87041 13.2% 11.7 245s
21158 4942 0.79153 106 288 0.76893 0.87041 13.2% 11.7 250s
21162 4945 0.84625 58 279 0.76893 0.87041 13.2% 11.7 257s
21164 4946 0.86771 55 281 0.76893 0.87041 13.2% 11.7 260s
21168 4949 0.78356 91 273 0.76893 0.87041 13.2% 11.7 267s
21170 4950 0.80417 88 283 0.76893 0.87041 13.2% 11.7 270s
21174 4953 0.79710 75 287 0.76893 0.87041 13.2% 11.7 276s
21177 4955 0.84052 71 292 0.76893 0.87041 13.2% 11.7 280s
21180 4957 0.85740 69 288 0.76893 0.87041 13.2% 11.7 285s
21184 4960 0.80223 102 292 0.76893 0.87041 13.2% 11.7 290s
21188 4962 0.82329 76 288 0.76893 0.87041 13.2% 11.7 295s
21192 4965 0.82008 51 291 0.76893 0.87041 13.2% 11.7 300s
21196 4968 0.77198 120 292 0.76893 0.87041 13.2% 11.7 306s
21198 4969 0.84742 56 293 0.76893 0.87041 13.2% 11.7 310s
21202 4972 0.79003 109 286 0.76893 0.87041 13.2% 11.6 315s
21206 4974 0.85928 73 285 0.76893 0.87041 13.2% 11.6 321s
21209 4976 0.81458 83 297 0.76893 0.87041 13.2% 11.6 325s
21213 4979 0.81552 40 297 0.76893 0.87041 13.2% 11.6 330s
21216 4981 0.81018 56 299 0.76893 0.87041 13.2% 11.6 336s
21218 4983 0.87041 24 288 0.76893 0.87041 13.2% 15.2 345s
21220 4982 infeasible 25 0.76893 0.87041 13.2% 15.2 354s
21223 4984 0.87041 27 279 0.76893 0.87041 13.2% 15.2 355s
21277 4989 0.85287 34 230 0.76893 0.87041 13.2% 15.7 360s
21422 4983 0.79261 34 212 0.76893 0.87041 13.2% 16.7 366s
21501 4993 0.85084 36 209 0.76893 0.87041 13.2% 17.4 370s
21796 5032 0.81022 69 164 0.76893 0.86443 12.4% 18.2 375s
21974 5026 0.77122 69 151 0.76893 0.86143 12.0% 19.1 380s
22259 5035 0.77977 93 75 0.76893 0.85858 11.7% 20.1 385s
22797 5064 0.84689 34 242 0.76893 0.85384 11.0% 21.1 390s
23099 5086 0.84869 42 218 0.76893 0.85203 10.8% 21.6 396s
23412 5143 0.78594 74 97 0.76893 0.85084 10.7% 22.5 422s
23661 5162 0.78378 76 96 0.76893 0.84884 10.4% 23.7 425s
24032 5161 0.80584 38 227 0.76893 0.84569 10.0% 24.1 433s
24129 5157 0.76978 36 228 0.76893 0.84541 9.95% 24.7 435s
24556 5153 0.81278 53 175 0.76893 0.84196 9.50% 25.3 441s
25087 5237 0.82831 50 190 0.76893 0.83775 8.95% 25.7 445s
25696 5232 infeasible 46 0.76893 0.83489 8.58% 26.1 450s
26405 5200 0.80761 48 186 0.76893 0.82909 7.82% 26.8 459s
26411 5180 infeasible 49 0.76893 0.82895 7.80% 26.8 461s
27080 5202 0.81632 55 147 0.76893 0.82731 7.59% 27.3 467s
27434 5206 0.78530 62 130 0.76893 0.82508 7.30% 27.5 470s
27793 5201 0.79431 51 156 0.76893 0.82494 7.28% 27.8 476s
28550 5130 0.82013 47 193 0.76893 0.82232 6.94% 28.8 482s
28993 5087 cutoff 45 0.76893 0.82174 6.87% 29.1 485s
29860 4984 0.77726 56 135 0.76893 0.81787 6.36% 29.7 492s
30305 4921 0.79626 54 106 0.76893 0.81650 6.19% 29.9 495s
31024 4722 0.80597 46 153 0.76893 0.81360 5.81% 30.6 502s
31574 4623 0.78780 50 143 0.76893 0.81287 5.71% 30.8 506s
32513 4425 0.79248 46 209 0.76893 0.80919 5.24% 31.4 512s
32971 4355 0.78719 62 102 0.76893 0.80788 5.06% 31.6 516s
33962 4146 infeasible 52 0.76893 0.80486 4.67% 32.1 523s
34560 4096 infeasible 55 0.76893 0.80387 4.54% 32.2 527s
34614 4005 0.77762 64 96 0.76893 0.80348 4.49% 32.2 531s
35524 3806 0.79642 48 153 0.76893 0.80107 4.18% 32.6 537s
35861 3669 0.78090 56 120 0.76893 0.80021 4.07% 32.7 540s
36947 3649 infeasible 56 0.76893 0.79948 3.97% 32.9 546s
37898 3718 infeasible 58 0.76893 0.79620 3.55% 33.1 553s
38392 3773 0.79009 57 125 0.76893 0.79555 3.46% 33.1 555s
39351 3862 0.79264 58 135 0.76893 0.79353 3.20% 33.1 560s
40078 3840 0.78466 54 119 0.76893 0.79189 2.99% 33.1 565s
41039 3881 infeasible 61 0.76893 0.79068 2.83% 33.1 570s
41848 3907 infeasible 56 0.76893 0.78940 2.66% 33.1 575s
43279 4009 cutoff 52 0.76893 0.78793 2.47% 33.0 581s
44051 3969 infeasible 55 0.76893 0.78702 2.35% 33.0 585s
45240 3953 cutoff 58 0.76893 0.78572 2.18% 32.9 590s
46439 3907 0.77348 61 118 0.76893 0.78455 2.03% 32.8 596s
47525 3901 0.77758 73 109 0.76893 0.78346 1.89% 32.7 600s
Cutting planes:
Gomory: 169
Cover: 16
Implied bound: 49
Projected implied bound: 59
Clique: 10
MIR: 325
StrongCG: 7
Flow cover: 749
Flow path: 2
Inf proof: 165
Zero half: 2
Explored 47576 nodes (1556950 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.768931 0.768931 0.768931
Time limit reached
Best objective 7.689314947879e-01, best bound 7.834291308132e-01, gap 1.8854%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqa9pnrg6.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjekf2wu_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.760369
Presolve removed 793 rows and 493 columns
Presolve time: 0.04s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.122005e+00, 1398 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12201 0 127 0.76037 1.12201 47.6% - 0s
0 0 1.09694 0 139 0.76037 1.09694 44.3% - 0s
0 0 1.09685 0 138 0.76037 1.09685 44.3% - 0s
0 0 1.08429 0 141 0.76037 1.08429 42.6% - 0s
0 0 1.08359 0 143 0.76037 1.08359 42.5% - 0s
0 0 1.08337 0 149 0.76037 1.08337 42.5% - 0s
0 0 1.08328 0 149 0.76037 1.08328 42.5% - 0s
0 0 1.08319 0 152 0.76037 1.08319 42.5% - 0s
0 0 1.08310 0 153 0.76037 1.08310 42.4% - 0s
0 0 1.08305 0 153 0.76037 1.08305 42.4% - 0s
0 0 1.08297 0 151 0.76037 1.08297 42.4% - 0s
0 0 1.08291 0 151 0.76037 1.08291 42.4% - 0s
0 0 1.08276 0 149 0.76037 1.08276 42.4% - 0s
0 0 1.08274 0 149 0.76037 1.08274 42.4% - 0s
0 0 1.08273 0 149 0.76037 1.08273 42.4% - 0s
0 0 1.08273 0 140 0.76037 1.08273 42.4% - 0s
0 2 1.08273 0 139 0.76037 1.08273 42.4% - 0s
778 558 1.01749 14 145 0.76037 1.01749 33.8% 20.7 5s
2719 693 0.93308 30 167 0.76037 0.98543 29.6% 22.2 11s
4540 1040 infeasible 52 0.76037 0.92936 22.2% 19.2 15s
9007 2089 infeasible 39 0.76037 0.88884 16.9% 15.1 20s
13154 3344 0.79182 105 73 0.76037 0.86429 13.7% 13.4 25s
19327 5719 0.79428 105 68 0.76037 0.84112 10.6% 11.7 30s
20855 6187 0.76789 168 140 0.76037 0.83903 10.3% 11.5 51s
20867 6195 0.80136 101 269 0.76037 0.83903 10.3% 11.5 55s
20871 6198 0.78444 141 275 0.76037 0.83903 10.3% 11.5 60s
20876 6201 0.79523 79 278 0.76037 0.83903 10.3% 11.5 65s
20883 6206 0.77730 131 283 0.76037 0.83903 10.3% 11.5 71s
20888 6209 0.83667 70 273 0.76037 0.83903 10.3% 11.5 75s
20891 6211 0.82355 106 266 0.76037 0.83903 10.3% 11.5 80s
20895 6214 0.78345 125 277 0.76037 0.83903 10.3% 11.5 86s
20899 6216 0.79517 94 266 0.76037 0.83903 10.3% 11.5 90s
20904 6220 0.78769 92 298 0.76037 0.83903 10.3% 11.5 95s
20909 6223 0.79669 36 292 0.76037 0.83903 10.3% 11.5 101s
20913 6226 0.76170 131 275 0.76037 0.83903 10.3% 11.5 105s
20917 6228 0.79153 115 272 0.76037 0.83903 10.3% 11.5 110s
20921 6231 0.82598 83 275 0.76037 0.83903 10.3% 11.5 115s
20925 6234 0.78300 97 279 0.76037 0.83903 10.3% 11.5 120s
20929 6236 0.78325 116 276 0.76037 0.83903 10.3% 11.5 126s
20932 6238 0.80528 114 292 0.76037 0.83903 10.3% 11.5 130s
20935 6240 0.76146 136 275 0.76037 0.83903 10.3% 11.5 135s
20939 6243 0.78617 113 281 0.76037 0.83903 10.3% 11.5 141s
20942 6245 0.78959 101 291 0.76037 0.83903 10.3% 11.5 145s
20945 6247 0.79931 107 287 0.76037 0.83903 10.3% 11.5 150s
20949 6250 0.81391 114 284 0.76037 0.83903 10.3% 11.5 156s
20952 6252 0.81212 104 298 0.76037 0.83903 10.3% 11.5 160s
20955 6254 0.76789 168 295 0.76037 0.83903 10.3% 11.5 165s
20959 6256 0.80306 97 291 0.76037 0.83903 10.3% 11.5 171s
20962 6258 0.77837 122 306 0.76037 0.83903 10.3% 11.5 175s
20967 6262 0.80136 101 306 0.76037 0.83903 10.3% 11.5 180s
20970 6264 0.79160 104 299 0.76037 0.83903 10.3% 11.5 185s
20974 6266 0.79911 108 305 0.76037 0.83903 10.3% 11.5 191s
20977 6268 0.78899 114 306 0.76037 0.83903 10.3% 11.5 195s
20980 6270 0.79193 128 300 0.76037 0.83903 10.3% 11.4 200s
20985 6274 0.81758 49 318 0.76037 0.83903 10.3% 11.4 205s
20990 6277 0.81014 53 311 0.76037 0.83903 10.3% 11.4 210s
20996 6281 0.77106 121 302 0.76037 0.83903 10.3% 11.4 215s
21002 6285 0.80343 100 323 0.76037 0.83903 10.3% 11.4 220s
21006 6288 0.77763 149 305 0.76037 0.83903 10.3% 11.4 225s
21009 6290 0.79669 36 298 0.76037 0.83903 10.3% 11.4 230s
21013 6292 0.76170 131 294 0.76037 0.83903 10.3% 11.4 236s
21016 6294 0.79905 130 310 0.76037 0.83903 10.3% 11.4 240s
21019 6296 0.77748 119 307 0.76037 0.83903 10.3% 11.4 245s
H21020 5979 0.7603692 0.83903 10.3% 11.4 249s
21022 5980 0.80242 93 314 0.76037 0.83903 10.3% 11.4 250s
21025 5982 0.78300 97 311 0.76037 0.83903 10.3% 11.4 255s
21029 5985 0.78325 116 321 0.76037 0.83903 10.3% 11.4 261s
21033 5988 0.80575 114 319 0.76037 0.83903 10.3% 11.4 265s
H21036 5687 0.7603692 0.83903 10.3% 11.4 271s
21041 5690 0.78103 133 314 0.76037 0.83903 10.3% 11.4 276s
21045 5693 0.79931 107 316 0.76037 0.83903 10.3% 11.4 280s
21050 5696 0.83652 86 324 0.76037 0.83903 10.3% 11.4 285s
21055 5699 0.76789 168 322 0.76037 0.83903 10.3% 11.4 290s
21059 5702 0.80306 97 319 0.76037 0.83903 10.3% 11.4 296s
21063 5705 0.77103 122 320 0.76037 0.83903 10.3% 11.4 300s
21068 5708 0.80932 83 338 0.76037 0.83903 10.3% 11.4 306s
21070 5709 0.79160 104 330 0.76037 0.83903 10.3% 11.4 310s
21072 5712 0.83903 25 298 0.76037 0.83903 10.3% 14.7 321s
21074 5711 0.83903 26 298 0.76037 0.83903 10.3% 14.7 331s
21100 5714 0.76200 31 223 0.76037 0.83903 10.3% 15.2 335s
21131 5704 infeasible 34 0.76037 0.83903 10.3% 15.8 340s
21175 5690 0.83903 33 309 0.76037 0.83903 10.3% 16.6 345s
21288 5666 0.79437 40 244 0.76037 0.83903 10.3% 18.3 350s
21395 5643 0.80088 54 236 0.76037 0.83903 10.3% 19.1 355s
21857 5765 0.80110 57 213 0.76037 0.83903 10.3% 19.8 360s
22415 5801 0.79724 73 150 0.76037 0.82824 8.93% 21.0 365s
22987 5897 0.79823 61 164 0.76037 0.82349 8.30% 21.6 370s
23553 5981 0.80282 67 176 0.76037 0.81788 7.56% 22.3 375s
24119 6000 0.81235 52 208 0.76037 0.81430 7.09% 23.0 380s
24310 5980 0.78980 57 178 0.76037 0.81252 6.86% 23.2 387s
24579 5970 infeasible 79 0.76037 0.81117 6.68% 23.9 390s
25242 5965 0.78313 76 149 0.76037 0.80752 6.20% 24.6 395s
26137 5931 0.79347 58 182 0.76037 0.80393 5.73% 25.2 400s
27213 5942 0.76849 75 133 0.76037 0.80176 5.44% 25.7 408s
27234 5900 0.76269 81 124 0.76037 0.80141 5.40% 25.8 410s
28436 5851 infeasible 71 0.76037 0.79767 4.91% 26.2 417s
29122 5698 0.78042 59 117 0.76037 0.79523 4.58% 26.6 422s
29583 5619 infeasible 99 0.76037 0.79420 4.45% 26.8 425s
30439 5456 0.78171 64 141 0.76037 0.79219 4.18% 27.2 430s
31449 5242 0.78231 61 140 0.76037 0.78952 3.83% 27.5 436s
32561 5085 0.78540 71 128 0.76037 0.78804 3.64% 27.8 442s
33757 4930 cutoff 77 0.76037 0.78633 3.41% 27.9 447s
34360 4924 0.76553 56 171 0.76037 0.78558 3.32% 28.0 450s
35173 4816 0.77234 66 159 0.76037 0.78497 3.24% 27.9 455s
36201 4648 0.76725 73 102 0.76037 0.78404 3.11% 27.9 461s
37267 4511 infeasible 90 0.76037 0.78311 2.99% 28.0 465s
38359 4408 infeasible 59 0.76037 0.78234 2.89% 28.1 470s
39405 4528 0.77753 61 151 0.76037 0.78152 2.78% 28.2 475s
40976 4705 infeasible 71 0.76037 0.78005 2.59% 28.2 481s
41957 4825 cutoff 74 0.76037 0.77922 2.48% 28.3 486s
42896 4880 0.76915 75 81 0.76037 0.77844 2.38% 28.4 490s
44177 4913 cutoff 70 0.76037 0.77729 2.23% 28.5 495s
45465 4983 0.77469 75 134 0.76037 0.77625 2.09% 28.5 501s
46440 5047 0.76811 72 100 0.76037 0.77559 2.00% 28.4 505s
47573 5016 0.76965 74 131 0.76037 0.77456 1.87% 28.5 510s
48755 4977 infeasible 82 0.76037 0.77394 1.78% 28.5 515s
49936 4963 0.77053 81 96 0.76037 0.77305 1.67% 28.5 520s
51110 4915 infeasible 80 0.76037 0.77231 1.57% 28.5 525s
52204 4850 cutoff 61 0.76037 0.77160 1.48% 28.4 530s
53685 4805 infeasible 88 0.76037 0.77067 1.35% 28.3 535s
54911 4666 0.76952 93 62 0.76037 0.76980 1.24% 28.3 541s
56171 4486 0.76537 80 88 0.76037 0.76901 1.14% 28.2 545s
57421 4315 infeasible 72 0.76037 0.76830 1.04% 28.1 550s
Cutting planes:
Gomory: 183
Cover: 16
Implied bound: 45
Projected implied bound: 47
Clique: 9
MIR: 268
StrongCG: 6
Flow cover: 695
Flow path: 4
Inf proof: 157
Explored 58031 nodes (1634328 simplex iterations) in 551.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.760369 0.760369 0.760369
Optimal solution found (tolerance 1.00e-02)
Best objective 7.603691708868e-01, best bound 7.679322248075e-01, gap 0.9947%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsvhlo5uh.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo9gjk8je.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.75443
Presolve removed 806 rows and 501 columns
Presolve time: 0.05s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.110129e+00, 1579 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11013 0 127 0.75443 1.11013 47.1% - 0s
0 0 1.08561 0 137 0.75443 1.08561 43.9% - 0s
0 0 1.08552 0 137 0.75443 1.08552 43.9% - 0s
0 0 1.07094 0 135 0.75443 1.07094 42.0% - 0s
0 0 1.07088 0 137 0.75443 1.07088 41.9% - 0s
0 0 1.07070 0 141 0.75443 1.07070 41.9% - 0s
0 0 1.07055 0 137 0.75443 1.07055 41.9% - 0s
0 0 1.07027 0 143 0.75443 1.07027 41.9% - 0s
0 0 1.07011 0 143 0.75443 1.07011 41.8% - 0s
0 0 1.07010 0 147 0.75443 1.07010 41.8% - 0s
0 0 1.06993 0 143 0.75443 1.06993 41.8% - 0s
0 0 1.06911 0 146 0.75443 1.06911 41.7% - 0s
0 0 1.06911 0 148 0.75443 1.06911 41.7% - 0s
0 0 1.06886 0 142 0.75443 1.06886 41.7% - 0s
0 0 1.06884 0 142 0.75443 1.06884 41.7% - 0s
0 0 1.06871 0 144 0.75443 1.06871 41.7% - 0s
0 0 1.06768 0 142 0.75443 1.06768 41.5% - 0s
0 0 1.06767 0 143 0.75443 1.06767 41.5% - 0s
0 0 1.06767 0 143 0.75443 1.06767 41.5% - 0s
0 0 1.06767 0 139 0.75443 1.06767 41.5% - 0s
0 2 1.06767 0 135 0.75443 1.06767 41.5% - 0s
801 601 0.90840 65 176 0.75443 0.99971 32.5% 10.6 5s
1858 647 0.86562 37 162 0.75443 0.95858 27.1% 22.1 10s
4166 1073 0.89644 64 119 0.75443 0.91603 21.4% 19.7 15s
7968 2224 infeasible 59 0.75443 0.89846 19.1% 17.0 20s
11290 2881 0.77613 86 52 0.75443 0.87223 15.6% 16.2 25s
14288 3492 infeasible 76 0.75443 0.85302 13.1% 15.3 30s
18552 4414 cutoff 89 0.75443 0.83883 11.2% 14.7 35s
20602 4944 0.82196 82 139 0.75443 0.83320 10.4% 14.3 55s
20614 4952 0.82852 88 253 0.75443 0.83320 10.4% 14.3 61s
20620 4956 0.78332 101 262 0.75443 0.83320 10.4% 14.3 66s
20627 4961 0.82230 108 280 0.75443 0.83320 10.4% 14.3 71s
20631 4963 0.83202 81 283 0.75443 0.83320 10.4% 14.3 75s
20635 4966 0.76893 123 306 0.75443 0.83320 10.4% 14.3 80s
20641 4970 0.82336 71 293 0.75443 0.83320 10.4% 14.3 85s
20645 4973 0.78844 81 313 0.75443 0.83320 10.4% 14.3 90s
20650 4976 0.77526 80 320 0.75443 0.83320 10.4% 14.3 95s
20655 4979 0.81368 90 323 0.75443 0.83320 10.4% 14.3 101s
20658 4981 0.75990 126 335 0.75443 0.83320 10.4% 14.3 105s
20661 4983 0.79579 93 323 0.75443 0.83320 10.4% 14.3 110s
20665 4986 0.78567 90 316 0.75443 0.83320 10.4% 14.3 115s
20669 4989 0.76646 114 337 0.75443 0.83320 10.4% 14.3 120s
20673 4991 0.77101 93 313 0.75443 0.83320 10.4% 14.3 125s
20678 4995 0.79096 96 341 0.75443 0.83320 10.4% 14.3 130s
20683 4998 0.81660 75 322 0.75443 0.83320 10.4% 14.3 135s
20688 5001 0.82858 64 334 0.75443 0.83320 10.4% 14.3 140s
20692 5004 0.82993 84 338 0.75443 0.83320 10.4% 14.3 145s
20695 5006 0.77284 94 324 0.75443 0.83320 10.4% 14.3 150s
20699 5009 0.76655 57 329 0.75443 0.83320 10.4% 14.3 155s
20703 5011 0.77532 100 330 0.75443 0.83320 10.4% 14.3 160s
20707 5014 0.81859 81 332 0.75443 0.83320 10.4% 14.2 166s
20711 5017 0.80487 74 328 0.75443 0.83320 10.4% 14.2 171s
20715 5019 0.81160 81 352 0.75443 0.83320 10.4% 14.2 175s
20719 5022 0.76213 125 333 0.75443 0.83320 10.4% 14.2 180s
20722 5024 0.77866 102 330 0.75443 0.83320 10.4% 14.2 185s
20726 5027 0.81725 76 346 0.75443 0.83320 10.4% 14.2 190s
H20727 4773 0.7544302 0.83320 10.4% 14.2 194s
20730 4775 0.77600 100 345 0.75443 0.83320 10.4% 14.2 196s
20733 4777 0.77806 100 347 0.75443 0.83320 10.4% 14.2 200s
20738 4781 0.83139 76 333 0.75443 0.83320 10.4% 14.2 206s
20742 4783 0.80335 84 356 0.75443 0.83320 10.4% 14.2 210s
20746 4786 0.76463 156 338 0.75443 0.83320 10.4% 14.2 215s
20750 4789 0.77526 80 355 0.75443 0.83320 10.4% 14.2 220s
20755 4792 0.81368 90 354 0.75443 0.83320 10.4% 14.2 225s
20760 4795 0.77615 89 349 0.75443 0.83320 10.4% 14.2 231s
20764 4798 0.76282 89 350 0.75443 0.83320 10.4% 14.2 236s
20768 4801 0.83012 70 340 0.75443 0.83320 10.4% 14.2 240s
20773 4804 0.77101 93 342 0.75443 0.83320 10.4% 14.2 245s
20778 4807 0.79096 96 350 0.75443 0.83320 10.4% 14.2 251s
20782 4810 0.79791 154 355 0.75443 0.83320 10.4% 14.2 255s
20787 4813 0.80461 75 351 0.75443 0.83320 10.4% 14.2 260s
20792 4817 0.82993 84 348 0.75443 0.83320 10.4% 14.2 265s
20797 4820 0.82666 78 351 0.75443 0.83320 10.4% 14.2 270s
20801 4823 0.76547 111 353 0.75443 0.83320 10.4% 14.2 275s
20806 4826 0.82286 73 355 0.75443 0.83320 10.4% 14.2 280s
20811 4829 0.80487 74 352 0.75443 0.83320 10.4% 14.2 285s
20815 4832 0.81160 81 350 0.75443 0.83320 10.4% 14.2 291s
20819 4835 0.76213 125 330 0.75443 0.83320 10.4% 14.2 296s
20821 4836 0.83072 78 337 0.75443 0.83320 10.4% 14.2 300s
20823 4837 infeasible 25 0.75443 0.83320 10.4% 17.9 312s
20825 4837 0.83320 26 326 0.75443 0.83320 10.4% 18.0 320s
20826 4837 0.83320 27 321 0.75443 0.83320 10.4% 18.0 325s
20832 4837 0.83320 30 308 0.75443 0.83320 10.4% 18.1 330s
20867 4844 infeasible 37 0.75443 0.83320 10.4% 18.7 336s
20905 4838 0.82676 42 249 0.75443 0.83320 10.4% 19.0 341s
20975 4826 0.83320 34 298 0.75443 0.83320 10.4% 19.9 345s
21059 4813 0.83320 39 309 0.75443 0.83320 10.4% 20.6 350s
21273 4813 0.81647 45 286 0.75443 0.83320 10.4% 21.6 355s
21454 4807 0.83320 39 273 0.75443 0.83320 10.4% 23.0 360s
21864 4888 0.76410 171 50 0.75443 0.83320 10.4% 23.6 365s
21943 4874 infeasible 49 0.75443 0.83320 10.4% 24.1 371s
22055 4877 0.76119 67 222 0.75443 0.83320 10.4% 25.2 375s
22313 4856 cutoff 46 0.75443 0.83320 10.4% 26.1 380s
22687 4858 0.77138 79 212 0.75443 0.83320 10.4% 27.3 385s
23126 4868 0.78855 49 274 0.75443 0.83320 10.4% 28.3 391s
23598 4890 0.82424 68 212 0.75443 0.82570 9.45% 29.1 395s
24141 4909 0.81023 73 216 0.75443 0.82217 8.98% 30.2 401s
24611 4937 0.79910 74 201 0.75443 0.82096 8.82% 30.9 405s
25161 4912 infeasible 73 0.75443 0.81774 8.39% 31.4 412s
25623 4885 0.75961 90 153 0.75443 0.81599 8.16% 32.3 416s
26015 4909 0.79500 77 154 0.75443 0.81452 7.96% 32.5 420s
26511 4906 cutoff 79 0.75443 0.81268 7.72% 32.5 425s
27295 4909 0.79390 78 160 0.75443 0.81139 7.55% 32.8 431s
28066 4879 cutoff 74 0.75443 0.80885 7.21% 33.4 437s
28545 4823 0.77313 82 130 0.75443 0.80725 7.00% 33.6 441s
29587 4829 0.77053 90 127 0.75443 0.80557 6.78% 34.0 448s
30167 4811 0.78801 78 157 0.75443 0.80433 6.61% 34.1 452s
30825 4786 cutoff 94 0.75443 0.80360 6.52% 34.2 455s
31428 4734 infeasible 117 0.75443 0.80239 6.36% 34.3 460s
32677 4629 0.78326 68 182 0.75443 0.79920 5.93% 34.6 467s
33020 4529 infeasible 70 0.75443 0.79899 5.91% 34.8 471s
34387 4455 0.79615 81 136 0.75443 0.79672 5.61% 34.8 478s
H34392 4208 0.7544302 0.79672 5.61% 34.8 478s
34423 4123 cutoff 88 0.75443 0.79668 5.60% 34.9 481s
35517 4250 0.79248 82 100 0.75443 0.79488 5.36% 35.1 488s
36142 4339 0.77338 91 115 0.75443 0.79398 5.24% 35.2 491s
37185 4506 0.77368 96 81 0.75443 0.79247 5.04% 35.2 497s
37801 4644 0.78369 51 265 0.75443 0.79153 4.92% 35.2 500s
38897 4856 infeasible 89 0.75443 0.79019 4.74% 35.2 506s
40044 5085 cutoff 113 0.75443 0.78867 4.54% 35.1 510s
40885 5172 0.77679 85 143 0.75443 0.78753 4.39% 35.2 516s
42014 5363 infeasible 95 0.75443 0.78635 4.23% 35.3 522s
42935 5463 0.78326 85 102 0.75443 0.78522 4.08% 35.3 527s
44121 5616 0.76790 90 105 0.75443 0.78394 3.91% 35.2 531s
45151 5691 0.77836 87 134 0.75443 0.78286 3.77% 35.1 535s
46058 5703 0.76684 88 91 0.75443 0.78201 3.66% 35.1 540s
47471 5739 infeasible 85 0.75443 0.78061 3.47% 35.0 545s
48695 5761 0.77233 85 107 0.75443 0.77929 3.29% 34.9 551s
49752 5844 cutoff 97 0.75443 0.77836 3.17% 34.8 555s
51065 5860 0.77388 87 71 0.75443 0.77704 3.00% 34.7 560s
52119 5842 infeasible 97 0.75443 0.77571 2.82% 34.6 565s
53194 5779 infeasible 87 0.75443 0.77457 2.67% 34.6 570s
54601 5637 0.76773 87 110 0.75443 0.77296 2.46% 34.5 575s
55681 5560 0.76548 76 123 0.75443 0.77206 2.34% 34.4 580s
56901 5424 infeasible 94 0.75443 0.77094 2.19% 34.3 585s
58100 5223 0.76705 90 77 0.75443 0.76962 2.01% 34.3 590s
59415 5063 cutoff 109 0.75443 0.76858 1.88% 34.1 595s
60613 4757 infeasible 91 0.75443 0.76729 1.70% 34.1 600s
Cutting planes:
Gomory: 211
Cover: 18
Implied bound: 45
Projected implied bound: 69
Clique: 12
MIR: 304
StrongCG: 5
Flow cover: 984
Flow path: 2
Inf proof: 264
Zero half: 3
Explored 60883 nodes (2075569 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.75443 0.75443 0.75443
Time limit reached
Best objective 7.544302074205e-01, best bound 7.670693323614e-01, gap 1.6753%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbwy28if7.pyomo.lp
Reading time = 0.02 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp63hlkh6s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2745_ by 0.999999999
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.101090e+00, 1451 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10109 0 129 - 1.10109 - - 0s
Another try with MIP start
H 0 0 0.7490498 1.10109 47.0% - 0s
0 0 1.08187 0 143 0.74905 1.08187 44.4% - 0s
0 0 1.08177 0 143 0.74905 1.08177 44.4% - 0s
0 0 1.04158 0 124 0.74905 1.04158 39.1% - 0s
0 0 1.04088 0 120 0.74905 1.04088 39.0% - 0s
0 0 1.03963 0 128 0.74905 1.03963 38.8% - 0s
0 0 1.03926 0 128 0.74905 1.03926 38.7% - 0s
0 0 1.03922 0 132 0.74905 1.03922 38.7% - 0s
0 0 1.03914 0 128 0.74905 1.03914 38.7% - 0s
0 0 1.03905 0 128 0.74905 1.03905 38.7% - 0s
0 0 1.03898 0 128 0.74905 1.03898 38.7% - 0s
0 0 1.03893 0 128 0.74905 1.03893 38.7% - 0s
0 0 1.03893 0 123 0.74905 1.03893 38.7% - 0s
0 2 1.03893 0 122 0.74905 1.03893 38.7% - 0s
783 497 0.93374 44 151 0.74905 0.99128 32.3% 14.8 5s
2193 598 0.93495 38 152 0.74905 0.95292 27.2% 21.8 10s
5416 1690 cutoff 61 0.74905 0.89522 19.5% 17.8 15s
9144 2731 0.83179 69 105 0.74905 0.86300 15.2% 15.6 20s
12994 3635 0.76931 63 143 0.74905 0.84131 12.3% 14.2 25s
16499 4359 0.82900 66 99 0.74905 0.82911 10.7% 13.5 30s
20461 5666 0.78460 55 123 0.74905 0.82253 9.81% 12.8 58s
20472 5673 0.78742 146 272 0.74905 0.82253 9.81% 12.8 60s
20476 5676 0.82059 68 259 0.74905 0.82253 9.81% 12.8 65s
20482 5680 0.78936 89 267 0.74905 0.82253 9.81% 12.8 70s
20488 5684 0.80061 76 299 0.74905 0.82253 9.81% 12.8 75s
20495 5689 0.75898 101 303 0.74905 0.82253 9.81% 12.8 80s
20499 5691 0.78548 95 290 0.74905 0.82253 9.81% 12.8 85s
20503 5694 0.74987 148 303 0.74905 0.82253 9.81% 12.8 90s
20508 5697 0.81085 149 310 0.74905 0.82253 9.81% 12.8 96s
20513 5701 0.81361 113 321 0.74905 0.82253 9.81% 12.8 101s
20517 5703 0.81399 67 315 0.74905 0.82253 9.81% 12.8 106s
20521 5706 0.77114 77 312 0.74905 0.82253 9.81% 12.8 110s
20524 5708 0.78033 88 316 0.74905 0.82253 9.81% 12.8 115s
20527 5710 0.80578 97 298 0.74905 0.82253 9.81% 12.8 120s
20531 5713 0.82103 73 305 0.74905 0.82253 9.81% 12.8 127s
20537 5717 0.79135 67 292 0.74905 0.82253 9.81% 12.7 132s
20541 5719 0.76284 82 295 0.74905 0.82253 9.81% 12.7 135s
20546 5723 0.79179 105 287 0.74905 0.82253 9.81% 12.7 142s
20548 5724 0.80084 109 298 0.74905 0.82253 9.81% 12.7 145s
20550 5725 0.80040 73 279 0.74905 0.82253 9.81% 12.7 150s
20554 5728 0.77104 103 294 0.74905 0.82253 9.81% 12.7 156s
20556 5729 0.76439 85 290 0.74905 0.82253 9.81% 12.7 163s
20558 5731 0.80002 78 306 0.74905 0.82253 9.81% 12.7 166s
20561 5733 0.78460 55 296 0.74905 0.82253 9.81% 12.7 170s
20563 5734 0.80783 80 295 0.74905 0.82253 9.81% 12.7 175s
20566 5736 0.77450 62 315 0.74905 0.82253 9.81% 12.7 180s
20570 5739 0.78629 135 309 0.74905 0.82253 9.81% 12.7 185s
20574 5741 0.78624 101 307 0.74905 0.82253 9.81% 12.7 191s
20577 5743 0.80692 88 314 0.74905 0.82253 9.81% 12.7 195s
20581 5746 0.79481 125 312 0.74905 0.82253 9.81% 12.7 201s
20584 5748 0.81541 68 307 0.74905 0.82253 9.81% 12.7 207s
20586 5749 0.81771 70 305 0.74905 0.82253 9.81% 12.7 211s
20589 5751 0.75341 115 316 0.74905 0.82253 9.81% 12.7 215s
20592 5753 0.77263 68 308 0.74905 0.82253 9.81% 12.7 220s
20597 5757 0.81386 77 322 0.74905 0.82253 9.81% 12.7 227s
20599 5758 0.78548 95 326 0.74905 0.82253 9.81% 12.7 233s
20601 5759 0.81209 85 319 0.74905 0.82253 9.81% 12.7 237s
20603 5761 0.74987 148 321 0.74905 0.82253 9.81% 12.7 241s
20605 5762 0.77214 109 316 0.74905 0.82253 9.81% 12.7 245s
20607 5763 0.77946 91 310 0.74905 0.82253 9.81% 12.7 250s
H20610 5474 0.7490498 0.82253 9.81% 12.7 257s
20613 5476 0.81361 113 312 0.74905 0.82253 9.81% 12.7 260s
20617 5479 0.81399 67 289 0.74905 0.82253 9.81% 12.7 266s
20623 5483 0.77659 114 310 0.74905 0.82253 9.81% 12.7 270s
20627 5486 0.80578 97 298 0.74905 0.82253 9.81% 12.7 277s
20629 5487 0.77642 71 301 0.74905 0.82253 9.81% 12.7 280s
20633 5490 0.75423 78 277 0.74905 0.82253 9.81% 12.7 285s
20636 5492 0.79348 104 285 0.74905 0.82253 9.81% 12.7 290s
20639 5494 0.76523 103 284 0.74905 0.82253 9.81% 12.7 298s
20641 5495 0.76284 82 289 0.74905 0.82253 9.81% 12.7 302s
20643 5496 0.75608 80 300 0.74905 0.82253 9.81% 12.7 307s
20645 5498 0.76564 111 294 0.74905 0.82253 9.81% 12.7 311s
20648 5500 0.80084 109 300 0.74905 0.82253 9.81% 12.7 315s
20650 5501 0.80040 73 296 0.74905 0.82253 9.81% 12.7 320s
20655 5504 0.78359 98 294 0.74905 0.82253 9.81% 12.7 326s
20657 5506 0.75778 110 293 0.74905 0.82253 9.81% 12.7 330s
20660 5508 0.76270 128 291 0.74905 0.82253 9.81% 12.7 338s
20662 5509 0.81897 83 286 0.74905 0.82253 9.81% 12.7 341s
20665 5511 0.81975 91 291 0.74905 0.82253 9.81% 12.7 345s
20669 5514 0.77123 106 301 0.74905 0.82253 9.81% 12.7 350s
20672 5516 0.78742 146 300 0.74905 0.82253 9.81% 12.7 356s
20675 5518 0.75638 102 287 0.74905 0.82253 9.81% 12.7 365s
20677 5519 0.80692 88 262 0.74905 0.82253 9.81% 12.7 370s
20680 5521 0.81271 119 273 0.74905 0.82086 9.59% 12.7 375s
20682 5522 0.78936 89 275 0.74905 0.82032 9.51% 12.7 380s
20684 5524 0.81541 68 276 0.74905 0.82020 9.50% 12.7 385s
20686 5525 0.81771 70 278 0.74905 0.81982 9.45% 12.7 390s
20689 5527 0.75341 115 277 0.74905 0.81961 9.42% 12.7 397s
20691 5528 0.78715 70 277 0.74905 0.81956 9.41% 12.7 400s
20693 5530 0.76779 55 279 0.74905 0.81947 9.40% 12.7 405s
20695 5531 0.75898 101 290 0.74905 0.81847 9.27% 12.7 410s
20698 5533 0.77801 67 287 0.74905 0.81842 9.26% 12.6 415s
20700 5534 0.80504 73 290 0.74905 0.81670 9.03% 12.6 420s
20703 5536 0.74987 148 280 0.74905 0.81591 8.93% 12.6 428s
20705 5538 0.77214 109 273 0.74905 0.81452 8.74% 12.6 432s
20709 5540 0.80708 55 283 0.74905 0.81260 8.48% 12.6 437s
20711 5543 0.80777 30 242 0.74905 0.81143 8.33% 17.4 448s
20713 5542 0.79610 31 230 0.74905 0.81100 8.27% 17.4 458s
20717 5545 0.75915 33 208 0.74905 0.81074 8.24% 17.4 460s
20738 5542 0.80721 36 243 0.74905 0.80966 8.09% 17.5 467s
20770 5532 cutoff 40 0.74905 0.80958 8.08% 17.7 470s
20903 5515 cutoff 48 0.74905 0.80647 7.67% 18.1 475s
21105 5488 0.75512 57 182 0.74905 0.80365 7.29% 19.1 480s
21421 5498 infeasible 53 0.74905 0.80115 6.96% 19.8 485s
21960 5580 0.76364 46 218 0.74905 0.79974 6.77% 20.2 490s
22375 5601 cutoff 52 0.74905 0.79823 6.57% 20.7 495s
22852 5602 infeasible 56 0.74905 0.79664 6.35% 21.5 500s
23350 5625 0.78759 56 124 0.74905 0.79475 6.10% 22.1 505s
24004 5606 0.76341 58 159 0.74905 0.79231 5.77% 22.8 511s
24646 5617 0.77837 60 137 0.74905 0.78973 5.43% 23.3 516s
25193 5548 cutoff 53 0.74905 0.78728 5.10% 24.1 521s
25611 5576 0.76257 50 183 0.74905 0.78530 4.84% 24.5 526s
25893 5493 0.75616 81 94 0.74905 0.78424 4.70% 24.8 530s
26545 5487 infeasible 55 0.74905 0.78220 4.43% 25.1 535s
27237 5344 infeasible 61 0.74905 0.77962 4.08% 25.4 540s
27961 5159 0.77521 58 138 0.74905 0.77705 3.74% 25.9 545s
28753 4986 0.76161 62 125 0.74905 0.77540 3.52% 26.3 551s
29709 4820 0.76519 57 83 0.74905 0.77387 3.31% 26.6 557s
30264 4764 infeasible 58 0.74905 0.77268 3.15% 26.8 560s
31090 4552 infeasible 60 0.74905 0.77097 2.93% 27.0 566s
31686 4442 cutoff 65 0.74905 0.77028 2.83% 27.1 570s
32686 4247 cutoff 59 0.74905 0.76896 2.66% 27.2 576s
33803 4071 infeasible 76 0.74905 0.76762 2.48% 27.3 583s
33978 3980 0.76400 53 169 0.74905 0.76752 2.47% 27.4 585s
34844 3765 0.76082 63 71 0.74905 0.76633 2.31% 27.5 591s
35879 3543 cutoff 57 0.74905 0.76516 2.15% 27.5 596s
36862 3329 infeasible 83 0.74905 0.76421 2.02% 27.6 600s
Cutting planes:
Learned: 3
Gomory: 246
Cover: 15
Implied bound: 42
Projected implied bound: 54
Clique: 8
MIR: 215
StrongCG: 6
Flow cover: 654
Flow path: 3
GUB cover: 1
Inf proof: 134
Zero half: 2
Explored 37034 nodes (1022764 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.74905 0.74905
Time limit reached
Best objective 7.490498418504e-01, best bound 7.640567970198e-01, gap 2.0035%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3dyxnrdi.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl5e7szr9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.736553
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.082382e+00, 1541 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08238 0 128 0.73655 1.08238 47.0% - 0s
0 0 1.05851 0 141 0.73655 1.05851 43.7% - 0s
0 0 1.05842 0 140 0.73655 1.05842 43.7% - 0s
0 0 1.05605 0 150 0.73655 1.05605 43.4% - 0s
0 0 1.05563 0 151 0.73655 1.05563 43.3% - 0s
0 0 1.05506 0 150 0.73655 1.05506 43.2% - 0s
0 0 1.05473 0 149 0.73655 1.05473 43.2% - 0s
0 0 1.05441 0 155 0.73655 1.05441 43.2% - 0s
0 0 1.05405 0 154 0.73655 1.05405 43.1% - 0s
0 0 1.05404 0 153 0.73655 1.05404 43.1% - 0s
0 0 1.05382 0 153 0.73655 1.05382 43.1% - 0s
0 0 1.05380 0 151 0.73655 1.05380 43.1% - 0s
0 0 1.05379 0 151 0.73655 1.05379 43.1% - 0s
0 0 1.05377 0 151 0.73655 1.05377 43.1% - 0s
0 0 1.05374 0 151 0.73655 1.05374 43.1% - 0s
0 0 1.05374 0 149 0.73655 1.05374 43.1% - 0s
0 2 1.05374 0 149 0.73655 1.05374 43.1% - 0s
822 502 0.86815 22 148 0.73655 0.97614 32.5% 16.8 5s
3454 1060 0.88456 38 132 0.73655 0.92953 26.2% 12.1 10s
6418 1349 0.84910 39 123 0.73655 0.88905 20.7% 11.2 15s
H 7107 1520 0.7365529 0.88066 19.6% 11.0 17s
8709 1978 0.78727 108 78 0.73655 0.86905 18.0% 10.4 20s
13115 3536 0.82668 67 98 0.73655 0.83940 14.0% 9.1 25s
17850 5310 0.76283 94 76 0.73655 0.82550 12.1% 8.2 30s
21024 6534 0.78196 51 149 0.73655 0.82200 11.6% 7.9 54s
21034 6541 0.80541 95 240 0.73655 0.82200 11.6% 7.9 55s
21043 6547 0.76296 87 247 0.73655 0.82200 11.6% 7.9 60s
21051 6552 0.80877 79 258 0.73655 0.82200 11.6% 7.9 65s
21063 6560 0.75166 109 266 0.73655 0.82200 11.6% 7.9 70s
21073 6567 0.76361 68 263 0.73655 0.82200 11.6% 7.9 75s
21083 6573 0.78328 74 258 0.73655 0.82200 11.6% 7.9 80s
21093 6580 0.73963 107 262 0.73655 0.82200 11.6% 7.9 85s
21098 6583 0.75001 103 246 0.73655 0.82200 11.6% 7.9 90s
21100 6586 0.82200 23 242 0.73655 0.82200 11.6% 8.1 95s
21161 6599 0.82200 35 232 0.73655 0.82200 11.6% 8.2 100s
21499 6576 0.82200 38 209 0.73655 0.82200 11.6% 8.7 105s
21925 6613 0.82058 37 207 0.73655 0.82200 11.6% 9.2 110s
22994 6665 0.76500 41 178 0.73655 0.82200 11.6% 9.8 115s
24231 6701 0.78917 42 147 0.73655 0.81840 11.1% 10.4 120s
25268 6757 infeasible 49 0.73655 0.81411 10.5% 10.9 125s
27019 6901 0.77551 53 142 0.73655 0.80781 9.67% 11.2 130s
28697 7013 0.78545 62 119 0.73655 0.80446 9.22% 11.4 135s
30937 7073 0.75610 50 141 0.73655 0.79938 8.53% 11.8 141s
32251 7088 0.76859 60 98 0.73655 0.79642 8.13% 12.0 145s
34330 7177 0.76758 67 95 0.73655 0.79270 7.62% 12.1 150s
36122 7149 0.78479 60 118 0.73655 0.78984 7.23% 12.2 155s
38951 7396 0.74507 78 49 0.73655 0.78803 6.99% 12.2 161s
40790 7418 0.77368 56 110 0.73655 0.78691 6.84% 12.3 165s
42578 7959 0.76274 63 117 0.73655 0.78600 6.71% 12.3 170s
44338 8440 0.74350 72 64 0.73655 0.78512 6.59% 12.4 175s
46019 8865 0.74998 69 62 0.73655 0.78417 6.46% 12.5 181s
47455 9190 0.74244 66 66 0.73655 0.78296 6.30% 12.7 185s
48157 9334 cutoff 61 0.73655 0.78229 6.21% 12.7 190s
49244 9462 0.75952 85 87 0.73655 0.78156 6.11% 12.8 195s
50678 9691 0.74955 66 65 0.73655 0.78042 5.96% 12.9 200s
52080 9832 0.77881 50 114 0.73655 0.77888 5.75% 13.1 205s
53496 9944 infeasible 42 0.73655 0.77769 5.58% 13.2 210s
55133 10030 0.75821 56 108 0.73655 0.77614 5.38% 13.4 216s
56613 10185 0.76197 52 128 0.73655 0.77513 5.24% 13.5 221s
58059 10290 cutoff 60 0.73655 0.77414 5.10% 13.6 226s
59276 10345 0.77267 79 100 0.73655 0.77310 4.96% 13.6 230s
60789 10435 infeasible 72 0.73655 0.77199 4.81% 13.7 235s
62481 10570 infeasible 71 0.73655 0.77106 4.69% 13.8 240s
64056 10677 0.75034 55 112 0.73655 0.76990 4.53% 13.8 245s
65810 10715 0.76732 64 87 0.73655 0.76820 4.30% 13.9 251s
67332 10699 0.75954 54 155 0.73655 0.76682 4.11% 14.0 255s
68943 10807 cutoff 59 0.73655 0.76556 3.94% 14.0 260s
70401 10816 infeasible 67 0.73655 0.76430 3.77% 14.0 265s
72216 10843 infeasible 63 0.73655 0.76297 3.59% 14.1 271s
73668 10807 0.75688 74 72 0.73655 0.76187 3.44% 14.1 275s
75541 10777 0.76059 77 117 0.73655 0.76071 3.28% 14.1 281s
76921 10751 0.75979 68 112 0.73655 0.75995 3.18% 14.2 285s
78694 10681 cutoff 71 0.73655 0.75883 3.02% 14.2 290s
*79865 10572 114 0.7367516 0.75820 2.91% 14.2 293s
79973 10614 0.73893 78 56 0.73675 0.75801 2.89% 14.2 297s
80588 10461 infeasible 71 0.73675 0.75756 2.82% 14.2 300s
82298 10305 0.75426 80 80 0.73675 0.75656 2.69% 14.2 305s
83985 10104 cutoff 60 0.73675 0.75556 2.55% 14.2 310s
85442 9853 infeasible 82 0.73675 0.75450 2.41% 14.2 315s
87072 9554 0.74799 72 64 0.73675 0.75329 2.24% 14.2 320s
88741 9228 infeasible 77 0.73675 0.75226 2.10% 14.2 325s
90060 8923 0.73883 79 42 0.73675 0.75144 1.99% 14.2 330s
92213 8345 infeasible 86 0.73675 0.75001 1.80% 14.1 336s
93901 7908 infeasible 65 0.73675 0.74892 1.65% 14.1 340s
95739 7262 infeasible 66 0.73675 0.74748 1.46% 14.1 345s
97677 6633 infeasible 77 0.73675 0.74605 1.26% 14.0 350s
99388 5993 infeasible 63 0.73675 0.74499 1.12% 14.0 355s
100488 5615 0.73745 70 30 0.73675 0.74436 1.03% 14.0 360s
Cutting planes:
Learned: 4
Gomory: 179
Cover: 4
Implied bound: 37
Projected implied bound: 50
Clique: 4
MIR: 58
Flow cover: 159
Flow path: 1
Inf proof: 1
Explored 101035 nodes (1411993 simplex iterations) in 361.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.736752 0.736553 0.736553
Optimal solution found (tolerance 1.00e-02)
Best objective 7.367515814012e-01, best bound 7.440417545971e-01, gap 0.9895%
Run 5
Seed for training 768
Seed for simulation 854
direc: array([[5.84589986e-02, 1.93088342e-04, 1.93088342e-04],
[9.00818084e-02, 1.11842262e+00, 1.13188950e+00],
[0.00000000e+00, 9.90000000e-01, 0.00000000e+00]])
fopt: 0.18502382949693863
fun: -0.18481852923172445
message: 'Optimization terminated successfully.'
nfev: 626
nit: 6
status: 0
success: True
x: array([303.92843149, 8.08231913, 4.14419976])
xopt: array([303., 9., 5.])
zopt: array([303., 312., 317.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0jo8glcq.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpte4t_b9v.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [5e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.185024
Presolve removed 845 rows and 525 columns
Presolve time: 0.05s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.071709e+00, 1579 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07171 0 104 0.18502 1.07171 479% - 0s
0 0 1.04662 0 147 0.18502 1.04662 466% - 0s
0 0 1.04643 0 145 0.18502 1.04643 466% - 0s
0 0 1.00583 0 190 0.18502 1.00583 444% - 0s
0 0 1.00364 0 191 0.18502 1.00364 442% - 0s
0 0 0.99891 0 176 0.18502 0.99891 440% - 0s
0 0 0.99891 0 179 0.18502 0.99891 440% - 0s
0 0 0.99822 0 176 0.18502 0.99822 440% - 0s
0 0 0.99809 0 179 0.18502 0.99809 439% - 0s
0 0 0.99789 0 182 0.18502 0.99789 439% - 0s
0 0 0.99786 0 182 0.18502 0.99786 439% - 0s
0 0 0.99748 0 180 0.18502 0.99748 439% - 0s
0 0 0.99709 0 187 0.18502 0.99709 439% - 0s
0 0 0.99698 0 178 0.18502 0.99698 439% - 0s
0 0 0.99687 0 178 0.18502 0.99687 439% - 0s
0 0 0.99682 0 178 0.18502 0.99682 439% - 0s
0 0 0.99682 0 178 0.18502 0.99682 439% - 0s
0 0 0.99680 0 178 0.18502 0.99680 439% - 0s
0 0 0.99680 0 133 0.18502 0.99680 439% - 0s
0 2 0.99680 0 128 0.18502 0.99680 439% - 1s
777 586 0.90015 9 127 0.18502 0.95053 414% 22.5 5s
803 603 0.70257 91 179 0.18502 0.95053 414% 21.7 10s
838 617 0.91785 16 174 0.18502 0.94094 409% 35.9 15s
1126 644 0.74907 47 167 0.18502 0.92982 403% 43.8 20s
H 1237 628 0.2101333 0.91876 337% 43.9 21s
1420 672 0.87802 23 214 0.21013 0.91876 337% 48.9 25s
H 1459 655 0.2638465 0.91876 248% 49.0 27s
H 1477 639 0.3315546 0.91876 177% 49.2 27s
1684 683 0.87585 20 200 0.33155 0.90931 174% 50.8 30s
2142 690 0.65802 31 182 0.33155 0.89842 171% 52.4 35s
2879 1061 0.78031 41 169 0.33155 0.87974 165% 47.2 40s
H 3223 1209 0.3966806 0.86864 119% 45.7 44s
3239 1216 0.57954 63 158 0.39668 0.86596 118% 46.2 45s
3786 1397 0.68731 58 185 0.39668 0.86131 117% 48.0 51s
4302 1610 infeasible 29 0.39668 0.85001 114% 47.7 56s
4959 1868 infeasible 51 0.39668 0.84562 113% 46.7 60s
H 5252 2008 0.4151536 0.83903 102% 46.8 64s
5265 2003 0.78113 43 184 0.41515 0.83874 102% 46.8 66s
6105 2250 infeasible 37 0.41515 0.83061 100% 45.4 71s
6782 2513 infeasible 61 0.41515 0.82269 98.2% 44.2 75s
7621 2668 0.65950 32 207 0.41515 0.81270 95.8% 43.8 81s
7998 2662 0.72130 49 165 0.41515 0.81043 95.2% 43.7 85s
9364 2981 infeasible 46 0.41515 0.79990 92.7% 40.6 91s
10770 3398 infeasible 45 0.41515 0.79400 91.3% 37.1 96s
12137 3716 infeasible 35 0.41515 0.78554 89.2% 34.8 100s
14038 4220 infeasible 44 0.41515 0.77406 86.5% 32.2 105s
15843 4508 infeasible 70 0.41515 0.76225 83.6% 30.0 110s
17301 4620 infeasible 47 0.41515 0.74899 80.4% 28.6 116s
H18155 4697 0.4550785 0.74363 63.4% 27.8 119s
H18165 4690 0.4578793 0.74361 62.4% 27.8 119s
H18170 4672 0.4619944 0.74361 61.0% 27.8 119s
18192 4654 0.71565 52 131 0.46199 0.74326 60.9% 27.8 121s
20225 5145 0.67849 55 202 0.46199 0.73275 58.6% 26.2 125s
20563 5246 0.47506 60 133 0.46199 0.73176 58.4% 26.1 155s
20574 5253 0.71579 48 275 0.46199 0.73176 58.4% 26.1 160s
20580 5257 0.70400 53 285 0.46199 0.73176 58.4% 26.1 165s
20587 5262 0.68259 90 307 0.46199 0.73176 58.4% 26.1 171s
20591 5265 0.54205 66 309 0.46199 0.73176 58.4% 26.1 175s
20593 5266 0.72280 52 310 0.46199 0.73176 58.4% 26.1 180s
20597 5269 0.70671 57 314 0.46199 0.73176 58.4% 26.1 185s
20600 5271 0.50113 120 328 0.46199 0.73176 58.4% 26.1 191s
20602 5272 0.66141 72 323 0.46199 0.73176 58.4% 26.1 195s
20605 5274 0.64307 62 318 0.46199 0.73176 58.4% 26.1 203s
20607 5275 0.68433 43 324 0.46199 0.73176 58.4% 26.1 208s
20609 5277 0.68820 44 323 0.46199 0.73176 58.4% 26.1 212s
20611 5278 0.63304 40 331 0.46199 0.73176 58.4% 26.1 216s
20615 5281 0.69912 52 328 0.46199 0.73176 58.4% 26.1 220s
20619 5283 0.70168 59 340 0.46199 0.73176 58.4% 26.1 225s
20621 5285 0.70377 58 339 0.46199 0.73176 58.4% 26.1 231s
20623 5286 0.59199 55 342 0.46199 0.73176 58.4% 26.1 235s
20626 5288 0.72856 59 341 0.46199 0.73176 58.4% 26.1 240s
20630 5291 0.67593 73 348 0.46199 0.73176 58.4% 26.1 246s
20633 5293 0.58748 77 346 0.46199 0.73176 58.4% 26.1 251s
20636 5295 0.55497 87 348 0.46199 0.73176 58.4% 26.1 257s
20638 5296 0.55497 87 344 0.46199 0.73176 58.4% 26.1 260s
20642 5299 0.66330 57 357 0.46199 0.73176 58.4% 26.0 266s
20645 5301 0.47960 73 347 0.46199 0.73176 58.4% 26.0 270s
20648 5303 0.49366 82 357 0.46199 0.73176 58.4% 26.0 275s
20651 5305 0.72368 60 370 0.46199 0.73176 58.4% 26.0 280s
20654 5307 0.68686 63 378 0.46199 0.73176 58.4% 26.0 285s
20658 5309 0.53194 54 370 0.46199 0.73176 58.4% 26.0 291s
20661 5311 0.57912 83 372 0.46199 0.73176 58.4% 26.0 295s
20665 5314 0.72313 55 366 0.46199 0.73176 58.4% 26.0 300s
20668 5316 0.70472 88 370 0.46199 0.73176 58.4% 26.0 305s
20672 5319 0.64551 69 347 0.46199 0.73176 58.4% 26.0 311s
20675 5321 0.57103 63 359 0.46199 0.73176 58.4% 26.0 316s
20678 5323 0.61018 62 377 0.46199 0.73176 58.4% 26.0 321s
20680 5324 0.70400 53 380 0.46199 0.73176 58.4% 26.0 325s
20683 5326 0.49512 46 383 0.46199 0.73176 58.4% 26.0 330s
20686 5328 0.63387 35 357 0.46199 0.73176 58.4% 26.0 336s
20689 5330 0.60963 109 367 0.46199 0.73176 58.4% 26.0 340s
20692 5332 0.59436 67 358 0.46199 0.73176 58.4% 26.0 345s
H20692 5063 0.4626541 0.73176 58.2% 26.0 348s
20695 5065 0.73109 65 354 0.46265 0.73176 58.2% 26.0 351s
20697 5066 0.70671 57 366 0.46265 0.73176 58.2% 26.0 355s
20700 5068 0.50113 120 360 0.46265 0.73176 58.2% 26.0 361s
20703 5070 0.72345 82 361 0.46265 0.73176 58.2% 26.0 365s
20707 5073 0.68433 43 340 0.46265 0.73176 58.2% 26.0 370s
20711 5076 0.63304 40 390 0.46265 0.73176 58.2% 26.0 376s
20714 5078 0.50611 106 383 0.46265 0.73176 58.2% 26.0 380s
20717 5080 0.69838 35 361 0.46265 0.73176 58.2% 26.0 386s
20719 5081 0.70168 59 363 0.46265 0.73176 58.2% 25.9 391s
20722 5083 0.63995 64 355 0.46265 0.73176 58.2% 25.9 396s
20724 5084 0.69679 42 358 0.46265 0.73176 58.2% 25.9 400s
20726 5086 0.72856 59 355 0.46265 0.73176 58.2% 25.9 406s
20727 5086 0.63315 76 369 0.46265 0.73176 58.2% 25.9 410s
20730 5088 0.67593 73 353 0.46265 0.73176 58.2% 25.9 415s
20733 5090 0.58748 77 367 0.46265 0.73176 58.2% 25.9 422s
20735 5092 0.59762 59 371 0.46265 0.73176 58.2% 25.9 427s
20737 5093 0.50469 94 369 0.46265 0.73176 58.2% 25.9 431s
20739 5094 0.70808 60 361 0.46265 0.73176 58.2% 25.9 436s
20742 5096 0.66330 57 370 0.46265 0.73176 58.2% 25.9 440s
20745 5098 0.47960 73 376 0.46265 0.73176 58.2% 25.9 445s
20750 5102 0.61428 65 360 0.46265 0.73176 58.2% 25.9 453s
20752 5103 0.69516 62 361 0.46265 0.73176 58.2% 25.9 458s
20754 5104 0.68686 63 370 0.46265 0.73176 58.2% 25.9 462s
20756 5106 0.72878 51 370 0.46265 0.73176 58.2% 25.9 465s
H20759 4849 0.4636523 0.73176 57.8% 25.9 471s
20764 4852 0.61261 52 377 0.46365 0.73176 57.8% 25.9 476s
20766 4853 0.60770 40 356 0.46365 0.73176 57.8% 25.9 481s
20768 4855 0.70472 88 367 0.46365 0.73176 57.8% 25.9 489s
20769 4855 0.69216 67 370 0.46365 0.73176 57.8% 25.9 490s
20770 4856 0.66870 49 375 0.46365 0.73176 57.8% 25.9 495s
20772 4857 0.64551 69 386 0.46365 0.73176 57.8% 25.9 500s
20774 4859 0.71579 48 390 0.46365 0.73176 57.8% 25.9 506s
20777 4861 0.62391 54 385 0.46365 0.73176 57.8% 25.9 510s
20778 4861 0.61018 62 338 0.46365 0.73176 57.8% 25.9 515s
20782 4864 0.60511 75 370 0.46365 0.73176 57.8% 25.9 520s
20784 4865 0.47285 76 370 0.46365 0.73176 57.8% 25.9 526s
20786 4867 0.63387 35 359 0.46365 0.73176 57.8% 25.9 530s
20789 4869 0.60963 109 363 0.46365 0.73176 57.8% 25.9 536s
20791 4870 0.54205 66 345 0.46365 0.73176 57.8% 25.9 543s
20795 4873 0.73109 65 353 0.46365 0.73176 57.8% 25.9 545s
20796 4873 0.54038 80 334 0.46365 0.73176 57.8% 25.9 550s
20799 4875 0.64799 54 345 0.46365 0.73176 57.8% 25.8 559s
20800 4876 0.50113 120 345 0.46365 0.73176 57.8% 25.8 562s
20801 4879 0.73176 21 317 0.46365 0.73176 57.8% 31.8 577s
20803 4878 infeasible 22 0.46365 0.73176 57.8% 31.8 590s
20809 4876 infeasible 24 0.46365 0.73176 57.8% 32.0 595s
20820 4874 infeasible 27 0.46365 0.73176 57.8% 32.2 600s
Cutting planes:
Learned: 2
Gomory: 165
Cover: 11
Implied bound: 18
Projected implied bound: 42
Clique: 9
MIR: 156
StrongCG: 5
Flow cover: 515
Flow path: 4
Inf proof: 19
Zero half: 1
Explored 20824 nodes (674685 simplex iterations) in 600.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.463652 0.462654 0.461994 ... 0.210133
Time limit reached
Best objective 4.636522593607e-01, best bound 7.317620296532e-01, gap 57.8256%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxplnjdql.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp_4te58k.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.00s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.6197763e+02 1.057450e+04 0.000000e+00 0s
354 1.1840608e+01 0.000000e+00 0.000000e+00 0s
Solved in 354 iterations and 0.01 seconds
Optimal objective 1.184060764e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00294318, -0.01395032, -0.01395032]])
fopt: 3.5534126956833925
fun: -3.564461751680684
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 19.98779859, -87.9999986 , -87.9999986 ])
xopt: array([20., 0., 0.])
zopt: array([20., 20., 20.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.27992641e-03, 1.99516712e-04, 7.37872678e-03]])
fopt: 2.949861319068359
fun: -2.976367518170905
message: 'Optimization terminated successfully.'
nfev: 139
nit: 2
status: 0
success: True
x: array([ 41.00397799, -0.86522624, -66.9893935 ])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 3
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., -0.]])
fopt: 2.265195235322891
fun: -2.277819635278573
message: 'Optimization terminated successfully.'
nfev: 177
nit: 2
status: 0
success: True
x: array([ 57.16683475, -0.99999999, -66.99373726])
xopt: array([57., 0., 0.])
zopt: array([57., 57., 57.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.08332764e-03, 1.73032295e-04, -9.89495785e-06]])
fopt: 1.9079026375927366
fun: -1.9165431525275807
message: 'Optimization terminated successfully.'
nfev: 169
nit: 2
status: 0
success: True
x: array([82.33650392, -0.99311946, 1.11362183])
xopt: array([82., 0., 1.])
zopt: array([82., 82., 83.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.8027479714263386
fun: -1.807338308783049
message: 'Optimization terminated successfully.'
nfev: 324
nit: 3
status: 0
success: True
x: array([101.32090872, 1.0000003 , -0.11803398])
xopt: array([101., 1., 0.])
zopt: array([101., 102., 102.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.80308084e-08, -2.57132533e-18, -1.31956007e-14]])
fopt: 1.517771669151194
fun: -1.516680228945517
message: 'Optimization terminated successfully.'
nfev: 277
nit: 2
status: 0
success: True
x: array([116.62260318, 1. , 1.00002243])
xopt: array([116., 1., 1.])
zopt: array([116., 117., 118.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.54431202e-02, -1.99692231e-05, 5.80722521e-04]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1585
nit: 4
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.2766315421344314
fun: -1.2768761013801195
message: 'Optimization terminated successfully.'
nfev: 225
nit: 2
status: 0
success: True
x: array([156.36945602, 1.00012165, 1. ])
xopt: array([156., 1., 1.])
zopt: array([156., 157., 158.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1474
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 2.35278923e-08, 1.49794936e-10, -2.99589872e-10],
[-1.69899719e-08, 4.11197137e+01, -6.11791519e+00]])
fopt: 1.0594912225864062
fun: -1.0688738797012436
message: 'Optimization terminated successfully.'
nfev: 652
nit: 7
status: 0
success: True
x: array([158.06734079, 53.84173313, -7.99346657])
xopt: array([158., 53., 0.])
zopt: array([158., 211., 211.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[58.34961905, 0.38417466, 2.25742943]])
fopt: 0.9288222136763398
fun: -0.9240650767373274
message: 'Optimization terminated successfully.'
nfev: 401
nit: 4
status: 0
success: True
x: array([214.96269519, 2.03269492, 9.00210011])
xopt: array([214., 2., 10.])
zopt: array([214., 216., 226.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7569537183608503
fun: -0.7584555693167077
message: 'Optimization terminated successfully.'
nfev: 426
nit: 4
status: 0
success: True
x: array([246.00187428, 1.14589798, 1.04785494])
xopt: array([246., 1., 1.])
zopt: array([246., 247., 248.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00493637, -0. , -0. ]])
fopt: 0.6776812834206992
fun: -0.6796475969723523
message: 'Optimization terminated successfully.'
nfev: 408
nit: 4
status: 0
success: True
x: array([263.99999984, 2.02797127, 3. ])
xopt: array([263., 3., 3.])
zopt: array([263., 266., 269.])
*******************************************
Period: 14
direc: array([[ -3.72521071, 0. , 0. ],
[ 0. , 1. , 0. ],
[ -4.84782752, -0.4464608 , -21.0097728 ]])
fopt: 0.9880934642377499
fun: -0.9888046578593157
message: 'Optimization terminated successfully.'
nfev: 565
nit: 7
status: 0
success: True
x: array([202.7772649 , -0.44095257, 83.00123654])
xopt: array([202., 0., 83.])
zopt: array([202., 202., 285.])
*******************************************
Period: 15
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-6.28111387e+01, -2.16177098e-02, 5.92916567e+01],
[ 1.35258035e-02, 2.01322680e+00, 1.98032201e+00]])
fopt: 0.9562088733699117
fun: -0.9556684976448805
message: 'Optimization terminated successfully.'
nfev: 490
nit: 7
status: 0
success: True
x: array([194.84106592, 11.03749883, 102.00597709])
xopt: array([194., 12., 102.])
zopt: array([194., 206., 308.])
*******************************************
Period: 16
direc: array([[-5.21873630e-10, -4.62872226e-05, -7.01316907e-05],
[-9.82319087e+01, -1.16961802e+00, 8.57043418e+01],
[-5.70359033e-04, -2.53021539e-03, 5.34284497e+01]])
fopt: 0.895356304208988
fun: -0.8931372437731584
message: 'Optimization terminated successfully.'
nfev: 847
nit: 11
status: 0
success: True
x: array([202.02762926, 3.00658619, 117.00000301])
xopt: array([202., 4., 117.])
zopt: array([202., 206., 323.])
*******************************************
Period: 17
direc: array([[-180.37960191, 113.78951571, 115.90032907],
[ 0. , 1. , 0. ],
[ 8.04551015, 2.39919834, 7.71056347]])
fopt: 1.1616436870135718
fun: -1.1605748160160412
message: 'Optimization terminated successfully.'
nfev: 534
nit: 8
status: 0
success: True
x: array([ 86.04982538, 127.01049293, 139.8686641 ])
xopt: array([ 86., 127., 139.])
zopt: array([ 86., 213., 352.])
*******************************************
Period: 18
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -5.05012086e-05, -5.17543437e-05]])
fopt: 0.3109857018246915
fun: -0.3110681761514068
message: 'Optimization terminated successfully.'
nfev: 379
nit: 5
status: 0
success: True
x: array([267.11216773, 5.05858066, 3.02471045])
xopt: array([267., 6., 4.])
zopt: array([267., 273., 277.])
*******************************************
Period: 19
direc: array([[-3.99964946e-03, -1.69248546e-05, -1.53567630e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.52075764e-02, -2.57960728e+00, 1.19103405e+02]])
fopt: 0.4824784187103391
fun: -0.7710340610304092
message: 'Optimization terminated successfully.'
nfev: 420
nit: 6
status: 0
success: True
x: array([260.3526113 , -48.35261128, 181.00000001])
xopt: array([260., 0., 181.])
zopt: array([260., 260., 441.])
*******************************************
Period: 20
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 2.99902048, 1.97680411]])
fopt: 0.17249168166224113
fun: -0.17141556566756108
message: 'Optimization terminated successfully.'
nfev: 396
nit: 5
status: 0
success: True
x: array([266.50172175, 9.04474781, 8.02385615])
xopt: array([266., 9., 9.])
zopt: array([266., 275., 284.])
*******************************************
Period: 21
direc: array([[1.01733264e-03, 3.81981331e-06, 8.98021384e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.06010007e-07, 1.02747013e-03, 7.79031707e-04]])
fopt: 0.09827034363750144
fun: -0.09618230553351927
message: 'Optimization terminated successfully.'
nfev: 583
nit: 6
status: 0
success: True
x: array([267.33607525, 9.01537023, 8.86630424])
xopt: array([267., 9., 9.])
zopt: array([267., 276., 285.])
*******************************************
Period: 22
direc: array([[6.70317314e-06, 1.02077753e+00, 1.00000005e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.53621936e-06, 1.96061833e+00, 9.74806174e-01]])
fopt: 0.11795561921217737
fun: -0.1162382616682068
message: 'Optimization terminated successfully.'
nfev: 728
nit: 7
status: 0
success: True
x: array([268.62392342, 8.00097351, 7.12229663])
xopt: array([268., 8., 8.])
zopt: array([268., 276., 284.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 2.94768861e+00, 5.72583014e+00],
[ 0.00000000e+00, -3.20456639e-03, 0.00000000e+00]])
fopt: 0.14395947393237554
fun: -0.1437685525585685
message: 'Optimization terminated successfully.'
nfev: 634
nit: 7
status: 0
success: True
x: array([269.15665389, 6.00107397, 11.03408016])
xopt: array([269., 6., 12.])
zopt: array([269., 275., 287.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 50.28132684, 99.06695541]])
fopt: 0.3876571097714593
fun: -0.3866315941504609
message: 'Optimization terminated successfully.'
nfev: 367
nit: 5
status: 0
success: True
x: array([269.09624287, 53.14507629, 104.0705104 ])
xopt: array([269., 53., 105.])
zopt: array([269., 322., 427.])
*******************************************
Period: 25
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 4.39945012e-08, 4.30580239e-08],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.1470345493868739
fun: -0.1440114762875912
message: 'Optimization terminated successfully.'
nfev: 654
nit: 7
status: 0
success: True
x: array([267.79776287, 11.00000004, 4.00248587])
xopt: array([267., 12., 5.])
zopt: array([267., 279., 284.])
*******************************************
Period: 26
direc: array([[9.70858012e-02, 3.48248999e-04, 3.48248999e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.09405309e-01, 2.00687428e-05, 1.41438868e+02]])
fopt: 0.5085982576307612
fun: -0.5418522308781003
message: 'Optimization terminated successfully.'
nfev: 667
nit: 8
status: 0
success: True
x: array([280.49268965, -14.59513822, 148.00001101])
xopt: array([280., 0., 149.])
zopt: array([280., 280., 429.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.24006753e-08, 6.81329876e+00]])
fopt: 0.5075050014803827
fun: -0.506310885092032
message: 'Optimization terminated successfully.'
nfev: 456
nit: 6
status: 0
success: True
x: array([281.42319749, 2.00083665, 145.1025819 ])
xopt: array([281., 2., 146.])
zopt: array([281., 283., 429.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -42.96007297, 48.43822903]])
fopt: 0.33381146348542584
fun: -0.7167562654559331
message: 'Optimization terminated successfully.'
nfev: 568
nit: 8
status: 0
success: True
x: array([280.89447426, -68.89419944, 217.00000013])
xopt: array([280., 0., 217.])
zopt: array([280., 280., 497.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 133.00429153],
[ 0. , -52.4215917 , 50.03130101]])
fopt: 0.3172863541828599
fun: -0.7011219919771694
message: 'Optimization terminated successfully.'
nfev: 587
nit: 7
status: 0
success: True
x: array([280.57227072, -73.98014148, 220. ])
xopt: array([280., 0., 220.])
zopt: array([280., 280., 500.])
*******************************************
Period: 30
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-117.54647746, 96.52375383, 97.42243027]])
fopt: 0.7867420055433754
fun: -0.786811333560849
message: 'Optimization terminated successfully.'
nfev: 508
nit: 8
status: 0
success: True
x: array([ 89.26752632, 211.02811607, 130.04783454])
xopt: array([ 89., 211., 130.])
zopt: array([ 89., 300., 430.])
*******************************************
Period: 31
direc: array([[ -0.34187265, 1. , 1. ],
[ 0. , 1. , 0. ],
[-260.4300865 , 180.90463114, 120.60308743]])
fopt: 0.7828015147878703
fun: -0.7793778316254465
message: 'Optimization terminated successfully.'
nfev: 466
nit: 6
status: 0
success: True
x: array([ 75.01181801, 198.00253376, 135.07588667])
xopt: array([ 76., 198., 136.])
zopt: array([ 76., 274., 410.])
*******************************************
Period: 32
direc: array([[-2.63213082e+01, 1.22644467e+01, 1.22644467e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.92058083e-05, -6.14997468e-04, 9.99972413e-01]])
fopt: 0.7967527151923088
fun: -0.799056074336032
message: 'Optimization terminated successfully.'
nfev: 514
nit: 8
status: 0
success: True
x: array([ 79.23872174, 198.0013456 , 137.00306728])
xopt: array([ 79., 198., 137.])
zopt: array([ 79., 277., 414.])
*******************************************
Period: 33
direc: array([[ 54.11121621, 4.79201856, 7.93524819],
[ 0. , 1. , 0. ],
[-10.75309286, 14.59069233, 27.08146674]])
fopt: 0.9015265443046038
fun: -0.900945930635642
message: 'Optimization terminated successfully.'
nfev: 500
nit: 8
status: 0
success: True
x: array([ 91.67764337, 115.00002775, 216. ])
xopt: array([ 92., 116., 217.])
zopt: array([ 92., 208., 425.])
*******************************************
Period: 34
direc: array([[ -35.17731402, 34.0060821 , 68.3557885 ],
[ 0. , 1. , 0. ],
[-197.09327633, 77.71374335, 131.50958082]])
fopt: 0.8928533666031387
fun: -0.8925318773512199
message: 'Optimization terminated successfully.'
nfev: 394
nit: 6
status: 0
success: True
x: array([ 90.05985574, 122.00000002, 216.02938429])
xopt: array([ 90., 122., 217.])
zopt: array([ 90., 212., 429.])
*******************************************
Period: 35
direc: array([[ 2.39247130e+01, 1.28492470e+01, 2.19982713e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.22845854e-02, 5.72052938e-03, 1.19355906e-02]])
fopt: 0.8722996349262351
fun: -0.8722737073650668
message: 'Optimization terminated successfully.'
nfev: 463
nit: 7
status: 0
success: True
x: array([ 98.01227728, 109.00034784, 209.01058048])
xopt: array([ 98., 109., 210.])
zopt: array([ 98., 207., 417.])
*******************************************
Period: 36
direc: array([[-6.84392873e+01, 8.29805929e+01, 5.05663840e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.53145088e-03, 4.83718611e-05, 6.78617904e-13]])
fopt: 0.7955708704761215
fun: -0.7950278975582429
message: 'Optimization terminated successfully.'
nfev: 539
nit: 9
status: 0
success: True
x: array([ 83.03354415, 181.00013696, 150.41658583])
xopt: array([ 83., 181., 151.])
zopt: array([ 83., 264., 415.])
*******************************************
Period: 37
direc: array([[ -8.11125635, 3. , 2. ],
[-238.20450559, 139.10976839, 79.49129623],
[ 0. , 0.9801 , 0. ]])
fopt: 0.5915884268751191
fun: -0.5838215536410719
message: 'Optimization terminated successfully.'
nfev: 574
nit: 7
status: 0
success: True
x: array([ 89.27400491, 153.00988802, 88.11878973])
xopt: array([ 90., 154., 89.])
zopt: array([ 90., 244., 333.])
*******************************************
Period: 38
direc: array([[-8.30294404, 12.21459239, 8.07335289],
[ 0. , 1. , 0. ],
[ 9.86455329, 10.92737807, 3.05435095]])
fopt: 0.8064351558372108
fun: -0.8038279164349421
message: 'Optimization terminated successfully.'
nfev: 650
nit: 10
status: 0
success: True
x: array([ 82.07264838, 172. , 158.43997463])
xopt: array([ 83., 172., 159.])
zopt: array([ 83., 255., 414.])
*******************************************
Period: 39
direc: array([[-111.78888962, 71.96390291, 64.84087052],
[ 0. , 1. , 0. ],
[ 0.6177004 , 18.73230975, 15.20026628]])
fopt: 0.8210348895968017
fun: -0.8194373459685141
message: 'Optimization terminated successfully.'
nfev: 693
nit: 10
status: 0
success: True
x: array([ 87.51726509, 156. , 170.01830949])
xopt: array([ 87., 156., 171.])
zopt: array([ 87., 243., 414.])
*******************************************
Period: 40
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.49574811, 0. , 3. ]])
fopt: 0.2624603022915443
fun: -0.2640212669301411
message: 'Optimization terminated successfully.'
nfev: 455
nit: 5
status: 0
success: True
x: array([402.0049985 , 2.00114132, 10.00141019])
xopt: array([402., 2., 10.])
zopt: array([402., 404., 414.])
*******************************************
Period: 41
direc: array([[-2.00058686, 0. , 2.00000003],
[-1.93168295, 1. , 3.91562583],
[-2.00058686, 1. , 2.00000003]])
fopt: 0.7469899684118494
fun: -0.7481049575499068
message: 'Optimization terminated successfully.'
nfev: 1009
nit: 13
status: 0
success: True
x: array([193.04533045, 12.00116291, 217.02658324])
xopt: array([194., 13., 218.])
zopt: array([194., 207., 425.])
*******************************************
Period: 42
direc: array([[-1.99635126e+00, 0.00000000e+00, 2.09315051e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.53046655e-02, 2.68974600e-05, -1.02947557e+00]])
fopt: 0.7255741031972868
fun: -0.7253911774162008
message: 'Optimization terminated successfully.'
nfev: 626
nit: 7
status: 0
success: True
x: array([208.22413774, 3.00818277, 203.00001561])
xopt: array([208., 4., 203.])
zopt: array([208., 212., 415.])
*******************************************
Period: 43
direc: array([[-1.17986691e-01, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.98901672e+02, 0.00000000e+00, 1.87857747e+02]])
fopt: 0.7245714161263753
fun: -0.7249484250391025
message: 'Optimization terminated successfully.'
nfev: 708
nit: 8
status: 0
success: True
x: array([203.61553256, 6.13676342, 210.00002394])
xopt: array([203., 7., 210.])
zopt: array([203., 210., 420.])
*******************************************
Period: 44
direc: array([[ 4.02168044e-03, 6.50335799e+00, 1.21038906e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7220456785926322
fun: -0.722182544262292
message: 'Optimization terminated successfully.'
nfev: 931
nit: 11
status: 0
success: True
x: array([193.79870729, 15.10536542, 206.51785074])
xopt: array([193., 16., 206.])
zopt: array([193., 209., 415.])
*******************************************
Period: 45
direc: array([[ 0.15673083, 6.01111838, 11.54189009],
[ 0. , 1. , 0. ],
[-0. , 0. , 0. ]])
fopt: 0.7041260125503456
fun: -0.7057383718753173
message: 'Optimization terminated successfully.'
nfev: 693
nit: 8
status: 0
success: True
x: array([194.80358025, 12.00013601, 214.02428455])
xopt: array([194., 12., 214.])
zopt: array([194., 206., 420.])
*******************************************
Period: 46
direc: array([[ 1.80698782, 0.00270176, 1.29921587],
[-1.99999999, 0. , 2.00000003],
[-0. , 0. , 0. ]])
fopt: 0.6990941086966894
fun: -0.7007034786195478
message: 'Optimization terminated successfully.'
nfev: 1014
nit: 11
status: 0
success: True
x: array([203.11814631, 3.01076738, 211.26366713])
xopt: array([203., 3., 211.])
zopt: array([203., 206., 417.])
*******************************************
Period: 47
direc: array([[ -13.84268731, 0. , 28.24363517],
[-127.7846897 , 2.01999998, 156.05373973],
[ 9.7262835 , -9.05283975, -16.6938344 ]])
fopt: 0.6551504885996703
fun: -0.683093757997849
message: 'Optimization terminated successfully.'
nfev: 616
nit: 8
status: 0
success: True
x: array([216.04256364, -9.43800593, 222.57620473])
xopt: array([216., 0., 222.])
zopt: array([216., 216., 438.])
*******************************************
Period: 48
direc: array([[ 0. , 0. , 1. ],
[-13.38930771, 0. , 12.04623609],
[-21.60131842, 20.07980128, 37.79659223]])
fopt: 0.6996105413297321
fun: -0.6983459051888852
message: 'Optimization terminated successfully.'
nfev: 544
nit: 7
status: 0
success: True
x: array([181.46494677, 24.12262862, 219.0004283 ])
xopt: array([181., 25., 219.])
zopt: array([181., 206., 425.])
*******************************************
Period: 49
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-311.63680575, 174.40123457, 263.90583395]])
fopt: 0.7147326099016702
fun: -0.7148970788711383
message: 'Optimization terminated successfully.'
nfev: 493
nit: 6
status: 0
success: True
x: array([ 85.78249608, 177.00154136, 152.01723415])
xopt: array([ 85., 177., 153.])
zopt: array([ 85., 262., 415.])
*******************************************
Period: 50
direc: array([[ -0.85134054, 1. , 1. ],
[ 0. , 1. , 0. ],
[-313.25989537, 193.57167924, 129.04778616]])
fopt: 0.6859704817285011
fun: -0.6862186103188157
message: 'Optimization terminated successfully.'
nfev: 466
nit: 6
status: 0
success: True
x: array([ 81.92098008, 199.00086048, 134.00767792])
xopt: array([ 82., 199., 135.])
zopt: array([ 82., 281., 416.])
*******************************************
Period: 51
direc: array([[-2.23697218e+01, 1.11261530e+01, 1.11261530e+01],
[-1.52540323e-07, -2.34035166e-05, -5.24489240e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00]])
fopt: 0.7161936984665379
fun: -0.7157670298899769
message: 'Optimization terminated successfully.'
nfev: 885
nit: 10
status: 0
success: True
x: array([ 83.70706507, 167. , 163.00443379])
xopt: array([ 84., 167., 164.])
zopt: array([ 84., 251., 415.])
*******************************************
Period: 52
direc: array([[-1.80545096e+01, 7.10435022e+00, 7.10435022e+00],
[ 4.73337605e-04, 2.37012477e-02, 5.27534781e-02],
[ 4.63262030e-04, 9.92123366e-01, 5.16305552e-02]])
fopt: 0.5801624313248428
fun: -0.5738206282814546
message: 'Optimization terminated successfully.'
nfev: 619
nit: 8
status: 0
success: True
x: array([ 79.08866174, 133. , 133.09193426])
xopt: array([ 80., 134., 134.])
zopt: array([ 80., 214., 348.])
*******************************************
Period: 53
direc: array([[ -3.23742826, 0.99469479, 1.15704883],
[ 0. , 1. , 0. ],
[-310.34441399, 189.45450037, 174.95888288]])
fopt: 0.7178926605648928
fun: -0.7163273164730352
message: 'Optimization terminated successfully.'
nfev: 487
nit: 6
status: 0
success: True
x: array([ 85.77335659, 149. , 179.462121 ])
xopt: array([ 86., 149., 180.])
zopt: array([ 86., 235., 415.])
*******************************************
Period: 54
direc: array([[-1.40207342e+01, 6.10294265e+00, 6.10294265e+00],
[-5.25418915e-07, -1.06597017e-04, -2.19753992e-04],
[ 0.00000000e+00, 3.50340599e+01, 0.00000000e+00]])
fopt: 0.6806673303540713
fun: -0.6786998024973862
message: 'Optimization terminated successfully.'
nfev: 1025
nit: 12
status: 0
success: True
x: array([ 86.59235211, 182.04797127, 144.02896301])
xopt: array([ 86., 183., 145.])
zopt: array([ 86., 269., 414.])
*******************************************
Period: 55
direc: array([[-3.14438362e+02, 1.41208308e+02, 1.41208308e+02],
[-5.29328251e-07, -4.52503309e-05, -9.11793846e-05],
[ 0.00000000e+00, 2.51218598e+01, 0.00000000e+00]])
fopt: 0.6679844458259548
fun: -0.6661120927937788
message: 'Optimization terminated successfully.'
nfev: 1180
nit: 12
status: 0
success: True
x: array([ 79.93717646, 178.00088574, 151.00000009])
xopt: array([ 80., 179., 152.])
zopt: array([ 80., 259., 411.])
*******************************************
Period: 56
direc: array([[-1.22354047e+01, 5.00303042e+00, 5.00303042e+00],
[-3.25746024e-07, -2.25035357e-05, -4.84692989e-05],
[ 0.00000000e+00, 5.42147509e+01, 1.54087590e-12]])
fopt: 0.6511640817967344
fun: -0.6495905658605817
message: 'Optimization terminated successfully.'
nfev: 1132
nit: 12
status: 0
success: True
x: array([ 85.18406214, 193.19529111, 135.000002 ])
xopt: array([ 86., 193., 136.])
zopt: array([ 86., 279., 415.])
*******************************************
Period: 57
direc: array([[-12.24553361, 6.08127733, 4.05418488],
[ 0. , 1. , 0. ],
[ 1.77750596, 2.92883416, 1.31528773]])
fopt: 0.6387629323104028
fun: -0.6377171513383608
message: 'Optimization terminated successfully.'
nfev: 631
nit: 9
status: 0
success: True
x: array([ 87.56612459, 199. , 128.07668232])
xopt: array([ 87., 199., 129.])
zopt: array([ 87., 286., 415.])
*******************************************
Period: 58
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-25.89820514, 11.04907459, 12.58515739]])
fopt: 0.7010361392386548
fun: -0.700896513719503
message: 'Optimization terminated successfully.'
nfev: 556
nit: 9
status: 0
success: True
x: array([ 84.49712179, 125.00424452, 216.00000027])
xopt: array([ 84., 126., 216.])
zopt: array([ 84., 210., 426.])
*******************************************
Period: 59
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-13.86930621, 6.01095753, 6.01095753]])
fopt: 0.6804544968633199
fun: -0.6802753481233342
message: 'Optimization terminated successfully.'
nfev: 513
nit: 8
status: 0
success: True
x: array([ 85.88658182, 141. , 189.00000043])
xopt: array([ 85., 141., 189.])
zopt: array([ 85., 226., 415.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp46dy4o1f.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptxm6osb4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.04321
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.04321
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_kx27c6t.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpexnn8t8b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2802
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.949861e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.9498613 2.94986 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.94986 1.2802
Optimal solution found (tolerance 1.00e-02)
Best objective 2.949861319068e+00, best bound 2.949861319068e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk7bpzj_a.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvlqzoglx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.72157
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.476104e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.47610 0 3 1.72157 2.47610 43.8% - 0s
H 0 0 2.2651952 2.47610 9.31% - 0s
0 0 cutoff 0 2.26520 2.26520 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.2652 1.72157
Optimal solution found (tolerance 1.00e-02)
Best objective 2.265195235323e+00, best bound 2.265195235323e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0c00q984.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj6bp1o4e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.59207
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 2.147083e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14708 0 8 1.59207 2.14708 34.9% - 0s
H 0 0 1.9090131 2.14708 12.5% - 0s
0 0 cutoff 0 1.90901 1.90901 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 4
Flow cover: 2
Flow path: 1
Explored 1 nodes (41 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.90901 1.59207
Optimal solution found (tolerance 1.00e-02)
Best objective 1.909013079060e+00, best bound 1.909013079060e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsvcnx779.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpky3uru_3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29914
Presolve removed 121 rows and 82 columns
Presolve time: 0.01s
Presolved: 116 rows, 93 columns, 409 nonzeros
Variable types: 46 continuous, 47 integer (42 binary)
Root relaxation: objective 2.467411e+00, 65 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.46741 0 4 1.29914 2.46741 89.9% - 0s
H 0 0 1.9242253 2.46741 28.2% - 0s
0 0 2.01910 0 1 1.92423 2.01910 4.93% - 0s
0 0 cutoff 0 1.92423 1.92423 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (99 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.92423 1.29914
Optimal solution found (tolerance 1.00e-02)
Best objective 1.924225308978e+00, best bound 1.924225308978e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5veohnuh.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiijka5sf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51851
Presolve removed 136 rows and 91 columns
Presolve time: 0.01s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.286579e+00, 90 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.28658 0 6 1.51851 2.28658 50.6% - 0s
0 0 1.81577 0 4 1.51851 1.81577 19.6% - 0s
H 0 0 1.6599053 1.81577 9.39% - 0s
0 0 1.80684 0 3 1.65991 1.80684 8.85% - 0s
0 0 1.80684 0 3 1.65991 1.80684 8.85% - 0s
0 0 1.80684 0 2 1.65991 1.80684 8.85% - 0s
0 0 1.80684 0 1 1.65991 1.80684 8.85% - 0s
H 0 0 1.7216780 1.80684 4.95% - 0s
0 0 1.79908 0 2 1.72168 1.79908 4.50% - 0s
0 0 1.79390 0 2 1.72168 1.79390 4.19% - 0s
0 0 1.79390 0 3 1.72168 1.79390 4.19% - 0s
0 0 1.79390 0 3 1.72168 1.79390 4.19% - 0s
0 0 1.79390 0 3 1.72168 1.79390 4.19% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
MIR: 2
Explored 1 nodes (194 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.72168 1.65991 1.51851
Optimal solution found (tolerance 1.00e-02)
Best objective 1.721678011878e+00, best bound 1.721678011878e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7psroeh_.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzhz599r2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39257
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.362941e+00, 114 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.36294 0 9 1.39257 2.36294 69.7% - 0s
0 0 2.10141 0 14 1.39257 2.10141 50.9% - 0s
0 0 2.10141 0 14 1.39257 2.10141 50.9% - 0s
0 0 1.94272 0 7 1.39257 1.94272 39.5% - 0s
0 0 1.92500 0 7 1.39257 1.92500 38.2% - 0s
0 0 1.88603 0 8 1.39257 1.88603 35.4% - 0s
0 0 1.87803 0 10 1.39257 1.87803 34.9% - 0s
0 0 1.87680 0 8 1.39257 1.87680 34.8% - 0s
0 0 1.87680 0 8 1.39257 1.87680 34.8% - 0s
H 0 0 1.4738685 1.87680 27.3% - 0s
0 0 1.87680 0 8 1.47387 1.87680 27.3% - 0s
0 0 1.87680 0 8 1.47387 1.87680 27.3% - 0s
0 0 1.87680 0 8 1.47387 1.87680 27.3% - 0s
0 2 1.87680 0 8 1.47387 1.87680 27.3% - 0s
H 9 10 1.6433091 1.72521 4.98% 4.7 0s
* 29 0 6 1.6570347 1.69297 2.17% 4.0 0s
Cutting planes:
Gomory: 7
Implied bound: 3
Clique: 1
Flow cover: 15
Explored 31 nodes (333 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.65703 1.64331 1.47387 1.39257
Optimal solution found (tolerance 1.00e-02)
Best objective 1.657034678337e+00, best bound 1.657034678337e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7l0b82kw.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu0wnqboc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37695
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.296468e+00, 146 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29647 0 11 1.37695 2.29647 66.8% - 0s
0 0 1.97482 0 17 1.37695 1.97482 43.4% - 0s
0 0 1.87484 0 6 1.37695 1.87484 36.2% - 0s
0 0 1.87318 0 5 1.37695 1.87318 36.0% - 0s
0 0 1.87318 0 5 1.37695 1.87318 36.0% - 0s
0 0 1.86286 0 5 1.37695 1.86286 35.3% - 0s
0 0 1.86286 0 6 1.37695 1.86286 35.3% - 0s
0 0 1.84412 0 10 1.37695 1.84412 33.9% - 0s
0 0 1.84361 0 10 1.37695 1.84361 33.9% - 0s
0 0 1.84361 0 10 1.37695 1.84361 33.9% - 0s
H 0 0 1.6249153 1.84361 13.5% - 0s
0 2 1.84361 0 10 1.62492 1.84361 13.5% - 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 5
Clique: 2
MIR: 1
Flow cover: 18
Explored 29 nodes (371 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62492 1.37695
Optimal solution found (tolerance 1.00e-02)
Best objective 1.624915313479e+00, best bound 1.624915313479e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpix975dhw.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2184fw9e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.40226
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.093398e+00, 165 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09340 0 13 1.40226 2.09340 49.3% - 0s
0 0 1.77208 0 21 1.40226 1.77208 26.4% - 0s
0 0 1.71490 0 8 1.40226 1.71490 22.3% - 0s
0 0 1.71094 0 9 1.40226 1.71094 22.0% - 0s
0 0 1.69514 0 15 1.40226 1.69514 20.9% - 0s
0 0 1.68972 0 14 1.40226 1.68972 20.5% - 0s
0 0 1.68143 0 15 1.40226 1.68143 19.9% - 0s
0 0 1.68116 0 15 1.40226 1.68116 19.9% - 0s
0 0 1.68116 0 15 1.40226 1.68116 19.9% - 0s
H 0 0 1.4543942 1.68116 15.6% - 0s
0 2 1.68116 0 15 1.45439 1.68116 15.6% - 0s
* 30 7 11 1.4553145 1.57764 8.41% 4.8 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 7
Clique: 2
MIR: 2
Flow cover: 17
Inf proof: 1
Explored 47 nodes (504 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.45531 1.45439 1.40226
Optimal solution found (tolerance 1.00e-02)
Best objective 1.455314460469e+00, best bound 1.455314460469e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd1_qlpz0.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdbygmu_l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22091
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.197899e+00, 197 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19790 0 15 1.22091 2.19790 80.0% - 0s
0 0 1.87088 0 26 1.22091 1.87088 53.2% - 0s
0 0 1.79862 0 14 1.22091 1.79862 47.3% - 0s
0 0 1.79862 0 14 1.22091 1.79862 47.3% - 0s
0 0 1.79769 0 14 1.22091 1.79769 47.2% - 0s
0 0 1.79769 0 14 1.22091 1.79769 47.2% - 0s
H 0 0 1.2604423 1.79769 42.6% - 0s
0 2 1.79769 0 14 1.26044 1.79769 42.6% - 0s
H 33 21 1.2993840 1.66497 28.1% 4.3 0s
* 185 37 18 1.3200990 1.45274 10.0% 3.2 0s
* 186 37 18 1.3373286 1.45274 8.63% 3.2 0s
* 240 28 15 1.3773473 1.42400 3.39% 3.5 0s
Cutting planes:
Gomory: 9
Cover: 4
Implied bound: 8
MIR: 4
Flow cover: 20
Inf proof: 2
Explored 283 nodes (1364 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.37735 1.33733 1.3201 ... 1.22091
Optimal solution found (tolerance 1.00e-02)
Best objective 1.377347271278e+00, best bound 1.386860361306e+00, gap 0.6907%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6lgpsv_4.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9ecjkebe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17783
Presolve removed 208 rows and 133 columns
Presolve time: 0.02s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.380401e+00, 246 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.38040 0 15 1.17783 2.38040 102% - 0s
0 0 1.92937 0 28 1.17783 1.92937 63.8% - 0s
0 0 1.92933 0 28 1.17783 1.92933 63.8% - 0s
0 0 1.86282 0 28 1.17783 1.86282 58.2% - 0s
0 0 1.85967 0 29 1.17783 1.85967 57.9% - 0s
0 0 1.85967 0 27 1.17783 1.85967 57.9% - 0s
0 0 1.84926 0 30 1.17783 1.84926 57.0% - 0s
0 0 1.83201 0 31 1.17783 1.83201 55.5% - 0s
0 0 1.82946 0 31 1.17783 1.82946 55.3% - 0s
0 0 1.82808 0 31 1.17783 1.82808 55.2% - 0s
0 0 1.78739 0 34 1.17783 1.78739 51.8% - 0s
0 0 1.78727 0 33 1.17783 1.78727 51.7% - 0s
0 0 1.78307 0 32 1.17783 1.78307 51.4% - 0s
0 0 1.78262 0 34 1.17783 1.78262 51.3% - 0s
0 0 1.78262 0 34 1.17783 1.78262 51.3% - 0s
0 2 1.78262 0 32 1.17783 1.78262 51.3% - 0s
* 88 36 18 1.3298538 1.61731 21.6% 6.8 0s
* 100 18 19 1.3394045 1.61731 20.7% 6.5 0s
* 140 8 20 1.3889364 1.50251 8.18% 6.0 0s
Cutting planes:
Gomory: 9
Cover: 3
Implied bound: 14
Clique: 2
MIR: 2
Flow cover: 22
Inf proof: 3
Explored 179 nodes (1569 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.38894 1.3394 1.32985 1.17783
Optimal solution found (tolerance 1.00e-02)
Best objective 1.388936382738e+00, best bound 1.388936382738e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvutt75in.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyxba_0hk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21038
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.354165e+00, 270 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.35416 0 18 1.21038 2.35416 94.5% - 0s
0 0 1.92256 0 25 1.21038 1.92256 58.8% - 0s
0 0 1.92256 0 25 1.21038 1.92256 58.8% - 0s
0 0 1.85435 0 32 1.21038 1.85435 53.2% - 0s
0 0 1.84347 0 35 1.21038 1.84347 52.3% - 0s
0 0 1.78970 0 38 1.21038 1.78970 47.9% - 0s
0 0 1.78684 0 38 1.21038 1.78684 47.6% - 0s
0 0 1.78680 0 38 1.21038 1.78680 47.6% - 0s
0 0 1.78275 0 41 1.21038 1.78275 47.3% - 0s
0 0 1.78092 0 40 1.21038 1.78092 47.1% - 0s
0 0 1.77957 0 40 1.21038 1.77957 47.0% - 0s
0 0 1.77957 0 40 1.21038 1.77957 47.0% - 0s
0 2 1.77957 0 34 1.21038 1.77957 47.0% - 0s
* 89 61 31 1.3380962 1.72075 28.6% 6.3 0s
* 175 66 31 1.3945586 1.72075 23.4% 6.2 0s
Cutting planes:
Gomory: 10
Cover: 6
Implied bound: 13
Clique: 2
MIR: 7
Flow cover: 26
Inf proof: 5
Explored 486 nodes (3855 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.39456 1.3381 1.21038
Optimal solution found (tolerance 1.00e-02)
Best objective 1.394558589194e+00, best bound 1.394558589194e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphf7in3bd.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoo33meki.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22339
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.337932e+00, 281 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33793 0 19 1.22339 2.33793 91.1% - 0s
0 0 1.91043 0 26 1.22339 1.91043 56.2% - 0s
0 0 1.86414 0 28 1.22339 1.86414 52.4% - 0s
0 0 1.84232 0 30 1.22339 1.84232 50.6% - 0s
0 0 1.84178 0 29 1.22339 1.84178 50.5% - 0s
0 0 1.82403 0 33 1.22339 1.82403 49.1% - 0s
0 0 1.82352 0 33 1.22339 1.82352 49.1% - 0s
0 0 1.82352 0 33 1.22339 1.82352 49.1% - 0s
0 0 1.82060 0 35 1.22339 1.82060 48.8% - 0s
0 0 1.82060 0 37 1.22339 1.82060 48.8% - 0s
0 0 1.82060 0 37 1.22339 1.82060 48.8% - 0s
0 2 1.82060 0 31 1.22339 1.82060 48.8% - 0s
* 161 86 31 1.3523156 1.70732 26.3% 6.8 0s
* 479 73 28 1.3893773 1.51708 9.19% 6.4 0s
Cutting planes:
Gomory: 9
Cover: 3
Implied bound: 21
Clique: 1
MIR: 6
Flow cover: 30
Inf proof: 12
Explored 667 nodes (4666 simplex iterations) in 0.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.38938 1.35232 1.22339
Optimal solution found (tolerance 1.00e-02)
Best objective 1.389377282819e+00, best bound 1.389377282819e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6bo_6di0.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph3lotwuw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25835
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.221964e+00, 284 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22196 0 22 1.25835 2.22196 76.6% - 0s
0 0 1.79512 0 24 1.25835 1.79512 42.7% - 0s
0 0 1.76032 0 26 1.25835 1.76032 39.9% - 0s
0 0 1.76032 0 26 1.25835 1.76032 39.9% - 0s
0 0 1.75514 0 24 1.25835 1.75514 39.5% - 0s
0 0 1.75106 0 22 1.25835 1.75106 39.2% - 0s
0 0 1.75067 0 22 1.25835 1.75067 39.1% - 0s
0 0 1.73188 0 32 1.25835 1.73188 37.6% - 0s
0 0 1.72995 0 33 1.25835 1.72995 37.5% - 0s
0 0 1.72966 0 32 1.25835 1.72966 37.5% - 0s
0 0 1.72966 0 29 1.25835 1.72966 37.5% - 0s
0 2 1.72966 0 29 1.25835 1.72966 37.5% - 0s
* 311 60 30 1.3142454 1.46773 11.7% 7.4 0s
* 648 3 28 1.3157123 1.38289 5.11% 7.3 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 20
Clique: 2
MIR: 6
Flow cover: 22
Inf proof: 9
Explored 659 nodes (5270 simplex iterations) in 0.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31571 1.31425 1.25835
Optimal solution found (tolerance 1.00e-02)
Best objective 1.315712306982e+00, best bound 1.315712306982e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzq5ne1c6.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjd2qv21h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21534
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.089495e+00, 340 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08949 0 25 1.21534 2.08949 71.9% - 0s
0 0 1.68525 0 27 1.21534 1.68525 38.7% - 0s
0 0 1.68525 0 28 1.21534 1.68525 38.7% - 0s
0 0 1.64583 0 36 1.21534 1.64583 35.4% - 0s
0 0 1.64574 0 36 1.21534 1.64574 35.4% - 0s
0 0 1.64422 0 33 1.21534 1.64422 35.3% - 0s
0 0 1.64422 0 29 1.21534 1.64422 35.3% - 0s
0 2 1.64422 0 29 1.21534 1.64422 35.3% - 0s
* 457 111 39 1.2219006 1.37544 12.6% 6.5 0s
* 476 128 38 1.2315335 1.37544 11.7% 6.4 0s
* 776 85 41 1.2344152 1.32203 7.10% 5.6 0s
Cutting planes:
Gomory: 16
Implied bound: 20
Clique: 2
MIR: 6
Flow cover: 23
Inf proof: 16
Explored 981 nodes (5767 simplex iterations) in 0.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.23442 1.23153 1.2219 1.21534
Optimal solution found (tolerance 1.00e-02)
Best objective 1.234415215602e+00, best bound 1.234415215602e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvgdpg95i.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv3hsy2om.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11613
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.090217e+00, 348 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09022 0 24 1.11613 2.09022 87.3% - 0s
0 0 1.69104 0 28 1.11613 1.69104 51.5% - 0s
0 0 1.66061 0 32 1.11613 1.66061 48.8% - 0s
0 0 1.66055 0 30 1.11613 1.66055 48.8% - 0s
0 0 1.65217 0 38 1.11613 1.65217 48.0% - 0s
0 0 1.62781 0 30 1.11613 1.62781 45.8% - 0s
0 0 1.62752 0 30 1.11613 1.62752 45.8% - 0s
0 0 1.61768 0 32 1.11613 1.61768 44.9% - 0s
0 0 1.61754 0 32 1.11613 1.61754 44.9% - 0s
0 0 1.61735 0 34 1.11613 1.61735 44.9% - 0s
0 0 1.61735 0 30 1.11613 1.61735 44.9% - 0s
0 2 1.61735 0 30 1.11613 1.61735 44.9% - 0s
* 145 80 48 1.1205422 1.52796 36.4% 7.6 0s
* 146 80 48 1.1261933 1.52796 35.7% 7.6 0s
* 640 184 40 1.1754198 1.39610 18.8% 6.8 0s
* 643 181 38 1.1761462 1.39610 18.7% 6.8 0s
* 1073 102 33 1.1779010 1.26222 7.16% 6.5 0s
* 1152 81 37 1.1779845 1.25231 6.31% 6.4 0s
Cutting planes:
Gomory: 17
Cover: 6
Implied bound: 24
Clique: 2
MIR: 5
Flow cover: 25
Inf proof: 24
Explored 1284 nodes (8402 simplex iterations) in 0.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.17798 1.1779 1.17615 ... 1.11613
Optimal solution found (tolerance 1.00e-02)
Best objective 1.177984476814e+00, best bound 1.178263436713e+00, gap 0.0237%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj564v9ph.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpimjvbv04.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07419
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.125044e+00, 430 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12504 0 25 1.07419 2.12504 97.8% - 0s
0 0 1.73755 0 29 1.07419 1.73755 61.8% - 0s
0 0 1.73755 0 29 1.07419 1.73755 61.8% - 0s
0 0 1.70804 0 40 1.07419 1.70804 59.0% - 0s
0 0 1.70598 0 36 1.07419 1.70598 58.8% - 0s
0 0 1.68627 0 36 1.07419 1.68627 57.0% - 0s
0 0 1.68528 0 35 1.07419 1.68528 56.9% - 0s
0 0 1.66799 0 34 1.07419 1.66799 55.3% - 0s
0 0 1.66780 0 34 1.07419 1.66780 55.3% - 0s
0 0 1.65690 0 37 1.07419 1.65690 54.2% - 0s
0 0 1.65526 0 32 1.07419 1.65526 54.1% - 0s
0 0 1.65373 0 33 1.07419 1.65373 54.0% - 0s
0 0 1.65279 0 31 1.07419 1.65279 53.9% - 0s
0 0 1.65279 0 24 1.07419 1.65279 53.9% - 0s
0 2 1.65279 0 24 1.07419 1.65279 53.9% - 0s
* 844 252 48 1.1670409 1.46124 25.2% 6.3 0s
Cutting planes:
Gomory: 17
Cover: 7
Implied bound: 31
Clique: 2
MIR: 13
Flow cover: 34
Inf proof: 38
Explored 2207 nodes (14880 simplex iterations) in 0.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.16704 1.07419
Optimal solution found (tolerance 1.00e-02)
Best objective 1.167040887496e+00, best bound 1.171960586475e+00, gap 0.4216%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyz0o3e71.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz_gkzqoe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07407
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.054203e+00, 368 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05420 0 30 1.07407 2.05420 91.3% - 0s
0 0 1.68127 0 34 1.07407 1.68127 56.5% - 0s
0 0 1.64884 0 41 1.07407 1.64884 53.5% - 0s
0 0 1.64880 0 38 1.07407 1.64880 53.5% - 0s
0 0 1.63710 0 39 1.07407 1.63710 52.4% - 0s
0 0 1.62809 0 36 1.07407 1.62809 51.6% - 0s
0 0 1.62787 0 36 1.07407 1.62787 51.6% - 0s
0 0 1.62288 0 38 1.07407 1.62288 51.1% - 0s
0 0 1.62278 0 38 1.07407 1.62278 51.1% - 0s
0 0 1.61625 0 40 1.07407 1.61625 50.5% - 0s
0 0 1.61620 0 41 1.07407 1.61620 50.5% - 0s
0 0 1.61150 0 36 1.07407 1.61150 50.0% - 0s
0 0 1.61150 0 34 1.07407 1.61150 50.0% - 0s
0 2 1.61150 0 33 1.07407 1.61150 50.0% - 0s
* 1244 266 43 1.1289733 1.34188 18.9% 9.1 1s
Cutting planes:
Gomory: 18
Cover: 11
Implied bound: 37
Clique: 2
MIR: 10
Flow cover: 37
Flow path: 2
Inf proof: 32
Explored 2135 nodes (17299 simplex iterations) in 1.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.12897 1.07407
Optimal solution found (tolerance 1.00e-02)
Best objective 1.128973267196e+00, best bound 1.129519266374e+00, gap 0.0484%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp121l5jn4.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8hrh8xt5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02849
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 2.037258e+00, 512 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03726 0 32 1.02849 2.03726 98.1% - 0s
0 0 1.66378 0 39 1.02849 1.66378 61.8% - 0s
0 0 1.62928 0 44 1.02849 1.62928 58.4% - 0s
0 0 1.62141 0 41 1.02849 1.62141 57.6% - 0s
0 0 1.62141 0 42 1.02849 1.62141 57.6% - 0s
0 0 1.61245 0 51 1.02849 1.61245 56.8% - 0s
0 0 1.60720 0 48 1.02849 1.60720 56.3% - 0s
0 0 1.60716 0 49 1.02849 1.60716 56.3% - 0s
0 0 1.60304 0 43 1.02849 1.60304 55.9% - 0s
0 0 1.60252 0 42 1.02849 1.60252 55.8% - 0s
0 0 1.60247 0 42 1.02849 1.60247 55.8% - 0s
0 0 1.59283 0 46 1.02849 1.59283 54.9% - 0s
0 0 1.59084 0 45 1.02849 1.59084 54.7% - 0s
0 0 1.59006 0 47 1.02849 1.59006 54.6% - 0s
0 0 1.59004 0 46 1.02849 1.59004 54.6% - 0s
0 0 1.59004 0 44 1.02849 1.59004 54.6% - 0s
0 0 1.59004 0 36 1.02849 1.59004 54.6% - 0s
0 2 1.59004 0 36 1.02849 1.59004 54.6% - 0s
* 1699 450 59 1.1040277 1.33407 20.8% 7.3 1s
* 2375 421 52 1.1066111 1.26235 14.1% 6.7 1s
H 2485 402 1.1066729 1.25513 13.4% 6.6 1s
* 3156 101 44 1.1068329 1.15485 4.34% 6.4 1s
* 3160 98 44 1.1078871 1.15485 4.24% 6.4 1s
Cutting planes:
Gomory: 18
Cover: 12
Implied bound: 38
MIR: 11
Flow cover: 35
Flow path: 2
Inf proof: 45
Explored 3337 nodes (22072 simplex iterations) in 1.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.10789 1.10683 1.10667 ... 1.02849
Optimal solution found (tolerance 1.00e-02)
Best objective 1.107887120525e+00, best bound 1.117756831930e+00, gap 0.8909%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5xklnrh2.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp80m7x7g8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01455
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.996964e+00, 535 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99696 0 34 1.01455 1.99696 96.8% - 0s
0 0 1.62725 0 39 1.01455 1.62725 60.4% - 0s
0 0 1.60083 0 50 1.01455 1.60083 57.8% - 0s
0 0 1.59680 0 50 1.01455 1.59680 57.4% - 0s
0 0 1.58483 0 54 1.01455 1.58483 56.2% - 0s
0 0 1.57514 0 56 1.01455 1.57514 55.3% - 0s
0 0 1.56056 0 50 1.01455 1.56056 53.8% - 0s
0 0 1.56055 0 56 1.01455 1.56055 53.8% - 0s
0 0 1.55815 0 59 1.01455 1.55815 53.6% - 0s
0 0 1.55799 0 59 1.01455 1.55799 53.6% - 0s
0 0 1.55601 0 59 1.01455 1.55601 53.4% - 0s
0 0 1.55601 0 49 1.01455 1.55601 53.4% - 0s
0 2 1.55601 0 48 1.01455 1.55601 53.4% - 0s
* 1289 537 56 1.0210529 1.34861 32.1% 9.9 1s
* 1340 503 56 1.0819522 1.32657 22.6% 9.8 1s
* 2285 75 44 1.0830231 1.17450 8.45% 10.0 2s
Cutting planes:
Learned: 1
Gomory: 29
Cover: 4
Implied bound: 13
Projected implied bound: 11
Clique: 1
MIR: 4
Flow cover: 49
Flow path: 2
Inf proof: 17
Explored 2477 nodes (24730 simplex iterations) in 2.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.08302 1.08195 1.02105 1.01455
Optimal solution found (tolerance 1.00e-02)
Best objective 1.083023145352e+00, best bound 1.083023145352e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzdbz1cwe.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwyep0qx3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.996703
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.944148e+00, 561 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94415 0 38 0.99670 1.94415 95.1% - 0s
0 0 1.57334 0 44 0.99670 1.57334 57.9% - 0s
0 0 1.57334 0 46 0.99670 1.57334 57.9% - 0s
0 0 1.54850 0 54 0.99670 1.54850 55.4% - 0s
0 0 1.54424 0 54 0.99670 1.54424 54.9% - 0s
0 0 1.53316 0 48 0.99670 1.53316 53.8% - 0s
0 0 1.52744 0 50 0.99670 1.52744 53.2% - 0s
0 0 1.51317 0 55 0.99670 1.51317 51.8% - 0s
0 0 1.51284 0 55 0.99670 1.51284 51.8% - 0s
0 0 1.51284 0 55 0.99670 1.51284 51.8% - 0s
0 0 1.51209 0 57 0.99670 1.51209 51.7% - 0s
0 0 1.51209 0 57 0.99670 1.51209 51.7% - 0s
0 0 1.51155 0 57 0.99670 1.51155 51.7% - 0s
0 0 1.51155 0 50 0.99670 1.51155 51.7% - 0s
0 2 1.51155 0 50 0.99670 1.51155 51.7% - 0s
* 1853 247 60 1.0054004 1.17190 16.6% 11.8 3s
* 1879 203 57 1.0316267 1.17190 13.6% 11.7 3s
* 1982 154 48 1.0371001 1.17190 13.0% 11.3 4s
* 2027 100 50 1.0419301 1.13745 9.17% 11.2 4s
* 2066 106 53 1.0426431 1.13502 8.86% 11.1 4s
* 2302 0 54 1.0441434 1.08144 3.57% 10.6 4s
* 2303 0 54 1.0450144 1.08144 3.49% 10.6 4s
Cutting planes:
Gomory: 33
Cover: 2
Implied bound: 15
Projected implied bound: 14
Clique: 2
MIR: 7
Flow cover: 42
Flow path: 2
Inf proof: 22
Explored 2375 nodes (25703 simplex iterations) in 4.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.04501 1.04414 1.04264 ... 0.996703
Optimal solution found (tolerance 1.00e-02)
Best objective 1.045014370150e+00, best bound 1.046696878878e+00, gap 0.1610%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph8rckneu.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx7edrx95.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05401
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.900316e+00, 583 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90032 0 44 1.05401 1.90032 80.3% - 0s
0 0 1.58347 0 45 1.05401 1.58347 50.2% - 0s
0 0 1.58344 0 48 1.05401 1.58344 50.2% - 0s
0 0 1.53670 0 46 1.05401 1.53670 45.8% - 0s
0 0 1.53441 0 49 1.05401 1.53441 45.6% - 0s
0 0 1.53429 0 46 1.05401 1.53429 45.6% - 0s
0 0 1.52023 0 50 1.05401 1.52023 44.2% - 0s
0 0 1.51717 0 52 1.05401 1.51717 43.9% - 0s
0 0 1.51676 0 52 1.05401 1.51676 43.9% - 0s
0 0 1.51532 0 56 1.05401 1.51532 43.8% - 0s
0 0 1.51053 0 56 1.05401 1.51053 43.3% - 0s
0 0 1.50990 0 59 1.05401 1.50990 43.3% - 0s
0 0 1.50990 0 59 1.05401 1.50990 43.3% - 0s
0 0 1.50889 0 59 1.05401 1.50889 43.2% - 0s
0 0 1.50889 0 52 1.05401 1.50889 43.2% - 0s
0 2 1.50889 0 52 1.05401 1.50889 43.2% - 0s
* 1246 409 66 1.0541854 1.24633 18.2% 11.7 3s
* 2276 326 48 1.0546872 1.17958 11.8% 12.1 4s
* 2478 254 44 1.0553748 1.16300 10.2% 12.1 4s
* 2479 252 42 1.0569910 1.16300 10.0% 12.1 4s
2654 161 1.07501 30 28 1.05699 1.13403 7.29% 12.1 5s
* 2992 0 41 1.0573304 1.07154 1.34% 11.4 5s
Cutting planes:
Learned: 2
Gomory: 36
Implied bound: 15
Projected implied bound: 24
Clique: 2
MIR: 20
Flow cover: 58
Flow path: 2
Inf proof: 31
Explored 3025 nodes (35291 simplex iterations) in 5.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.05733 1.05699 1.05537 ... 1.05401
Optimal solution found (tolerance 1.00e-02)
Best objective 1.057330440673e+00, best bound 1.065067396797e+00, gap 0.7317%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx4qab15t.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo_27pdjq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05351
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.855764e+00, 516 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85576 0 46 1.05351 1.85576 76.2% - 0s
0 0 1.76542 0 56 1.05351 1.76542 67.6% - 0s
0 0 1.76542 0 56 1.05351 1.76542 67.6% - 0s
0 0 1.73771 0 65 1.05351 1.73771 64.9% - 0s
0 0 1.73771 0 65 1.05351 1.73771 64.9% - 0s
0 0 1.70355 0 73 1.05351 1.70355 61.7% - 0s
0 0 1.69869 0 73 1.05351 1.69869 61.2% - 0s
0 0 1.69619 0 73 1.05351 1.69619 61.0% - 0s
0 0 1.69610 0 74 1.05351 1.69610 61.0% - 0s
0 0 1.69587 0 76 1.05351 1.69587 61.0% - 0s
0 0 1.69514 0 72 1.05351 1.69514 60.9% - 0s
0 0 1.69405 0 73 1.05351 1.69405 60.8% - 0s
0 0 1.69396 0 72 1.05351 1.69396 60.8% - 0s
0 0 1.69139 0 72 1.05351 1.69139 60.5% - 0s
0 0 1.69138 0 72 1.05351 1.69138 60.5% - 0s
0 0 1.69132 0 73 1.05351 1.69132 60.5% - 0s
0 0 1.69132 0 73 1.05351 1.69132 60.5% - 0s
0 0 1.69132 0 73 1.05351 1.69132 60.5% - 0s
0 2 1.69132 0 73 1.05351 1.69132 60.5% - 0s
* 1045 497 76 1.0580915 1.32205 24.9% 12.6 3s
* 1844 293 70 1.0583117 1.18620 12.1% 11.2 3s
Cutting planes:
Gomory: 26
Cover: 1
Implied bound: 22
Projected implied bound: 19
Clique: 4
MIR: 17
Flow cover: 60
Flow path: 2
Inf proof: 17
Explored 2401 nodes (26545 simplex iterations) in 4.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.05831 1.05809 1.05351
Optimal solution found (tolerance 1.00e-02)
Best objective 1.058311721748e+00, best bound 1.059489848574e+00, gap 0.1113%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoluybrbh.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9bhrbn_6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01843
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.777535e+00, 599 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77753 0 48 1.01843 1.77753 74.5% - 0s
0 0 1.69647 0 58 1.01843 1.69647 66.6% - 0s
0 0 1.69647 0 58 1.01843 1.69647 66.6% - 0s
0 0 1.67067 0 69 1.01843 1.67067 64.0% - 0s
0 0 1.66976 0 70 1.01843 1.66976 64.0% - 0s
0 0 1.64643 0 72 1.01843 1.64643 61.7% - 0s
0 0 1.63942 0 71 1.01843 1.63942 61.0% - 0s
0 0 1.63719 0 69 1.01843 1.63719 60.8% - 0s
0 0 1.63700 0 69 1.01843 1.63700 60.7% - 0s
0 0 1.63700 0 69 1.01843 1.63700 60.7% - 0s
0 0 1.63694 0 71 1.01843 1.63694 60.7% - 0s
0 0 1.63694 0 59 1.01843 1.63694 60.7% - 0s
0 2 1.63694 0 59 1.01843 1.63694 60.7% - 0s
Cutting planes:
Gomory: 2
Implied bound: 3
Clique: 2
MIR: 4
Flow cover: 12
Flow path: 1
Inf proof: 6
Explored 3359 nodes (34990 simplex iterations) in 4.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.01843
Optimal solution found (tolerance 1.00e-02)
Best objective 1.018425127431e+00, best bound 1.018425127431e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvhlaqoq1.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprn8svnr6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.989698
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.719449e+00, 629 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71945 0 46 0.98970 1.71945 73.7% - 0s
0 0 1.64282 0 55 0.98970 1.64282 66.0% - 0s
0 0 1.64282 0 57 0.98970 1.64282 66.0% - 0s
0 0 1.61848 0 61 0.98970 1.61848 63.5% - 0s
0 0 1.61848 0 61 0.98970 1.61848 63.5% - 0s
0 0 1.60083 0 66 0.98970 1.60083 61.7% - 0s
0 0 1.59345 0 67 0.98970 1.59345 61.0% - 0s
0 0 1.58360 0 76 0.98970 1.58360 60.0% - 0s
0 0 1.58358 0 79 0.98970 1.58358 60.0% - 0s
0 0 1.58047 0 75 0.98970 1.58047 59.7% - 0s
0 0 1.58043 0 75 0.98970 1.58043 59.7% - 0s
0 0 1.57978 0 78 0.98970 1.57978 59.6% - 0s
0 0 1.57976 0 80 0.98970 1.57976 59.6% - 0s
0 0 1.57969 0 79 0.98970 1.57969 59.6% - 0s
0 0 1.57968 0 77 0.98970 1.57968 59.6% - 0s
0 0 1.57968 0 77 0.98970 1.57968 59.6% - 0s
0 0 1.57968 0 67 0.98970 1.57968 59.6% - 0s
0 2 1.57968 0 66 0.98970 1.57968 59.6% - 0s
* 3625 258 69 0.9898285 1.02510 3.56% 8.0 3s
Explored 4040 nodes (32699 simplex iterations) in 4.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.989829 0.989698
Optimal solution found (tolerance 1.00e-02)
Best objective 9.898285357995e-01, best bound 9.988563008047e-01, gap 0.9121%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplh5ia629.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmi7wgepe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.990211
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.735483e+00, 746 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73548 0 49 0.99021 1.73548 75.3% - 0s
0 0 1.66416 0 59 0.99021 1.66416 68.1% - 0s
0 0 1.66416 0 59 0.99021 1.66416 68.1% - 0s
0 0 1.64157 0 69 0.99021 1.64157 65.8% - 0s
0 0 1.64025 0 68 0.99021 1.64025 65.6% - 0s
0 0 1.62796 0 76 0.99021 1.62796 64.4% - 0s
0 0 1.62337 0 76 0.99021 1.62337 63.9% - 0s
0 0 1.61190 0 85 0.99021 1.61190 62.8% - 0s
0 0 1.61117 0 89 0.99021 1.61117 62.7% - 0s
0 0 1.61102 0 93 0.99021 1.61102 62.7% - 0s
0 0 1.61101 0 93 0.99021 1.61101 62.7% - 0s
0 0 1.61079 0 92 0.99021 1.61079 62.7% - 0s
0 0 1.61079 0 75 0.99021 1.61079 62.7% - 0s
0 2 1.61079 0 75 0.99021 1.61079 62.7% - 0s
4235 451 0.99357 53 32 0.99021 1.09888 11.0% 8.8 5s
Cutting planes:
Learned: 1
Gomory: 5
Cover: 1
Implied bound: 5
Clique: 2
MIR: 3
Flow cover: 15
Flow path: 2
Inf proof: 5
Explored 6077 nodes (49390 simplex iterations) in 6.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.990211
Optimal solution found (tolerance 1.00e-02)
Best objective 9.902105418205e-01, best bound 9.961388521357e-01, gap 0.5987%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwluo67au.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppdcm0hcn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97968
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.681662e+00, 716 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68166 0 52 0.97968 1.68166 71.7% - 0s
0 0 1.61531 0 63 0.97968 1.61531 64.9% - 0s
0 0 1.61531 0 63 0.97968 1.61531 64.9% - 0s
0 0 1.57955 0 69 0.97968 1.57955 61.2% - 0s
0 0 1.57827 0 69 0.97968 1.57827 61.1% - 0s
0 0 1.56380 0 73 0.97968 1.56380 59.6% - 0s
0 0 1.56249 0 81 0.97968 1.56249 59.5% - 0s
0 0 1.56227 0 87 0.97968 1.56227 59.5% - 0s
0 0 1.56220 0 86 0.97968 1.56220 59.5% - 0s
0 0 1.56085 0 85 0.97968 1.56085 59.3% - 0s
0 0 1.56083 0 87 0.97968 1.56083 59.3% - 0s
0 0 1.56027 0 84 0.97968 1.56027 59.3% - 0s
0 0 1.56024 0 84 0.97968 1.56024 59.3% - 0s
0 0 1.56015 0 84 0.97968 1.56015 59.3% - 0s
0 0 1.56015 0 69 0.97968 1.56015 59.3% - 0s
0 2 1.56015 0 68 0.97968 1.56015 59.3% - 0s
2243 435 1.03989 47 35 0.97968 1.19790 22.3% 11.2 5s
Cutting planes:
Gomory: 7
Implied bound: 6
Projected implied bound: 10
Clique: 1
MIR: 10
Flow cover: 21
Flow path: 1
Inf proof: 17
Explored 6097 nodes (52519 simplex iterations) in 8.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.97968
Optimal solution found (tolerance 1.00e-02)
Best objective 9.796795383359e-01, best bound 9.877157446507e-01, gap 0.8203%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp89s1nlo0.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn2gyms_3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.969522
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.680245e+00, 771 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68024 0 54 0.96952 1.68024 73.3% - 0s
0 0 1.60043 0 70 0.96952 1.60043 65.1% - 0s
0 0 1.60043 0 70 0.96952 1.60043 65.1% - 0s
0 0 1.50657 0 75 0.96952 1.50657 55.4% - 0s
0 0 1.49613 0 93 0.96952 1.49613 54.3% - 0s
0 0 1.48504 0 90 0.96952 1.48504 53.2% - 0s
0 0 1.48300 0 93 0.96952 1.48300 53.0% - 0s
0 0 1.48084 0 105 0.96952 1.48084 52.7% - 0s
0 0 1.48059 0 103 0.96952 1.48059 52.7% - 0s
0 0 1.48021 0 105 0.96952 1.48021 52.7% - 0s
0 0 1.48011 0 105 0.96952 1.48011 52.7% - 0s
0 0 1.48011 0 89 0.96952 1.48011 52.7% - 0s
0 2 1.48011 0 86 0.96952 1.48011 52.7% - 0s
1397 474 0.97080 97 23 0.96952 1.23878 27.8% 14.6 5s
* 1413 447 113 0.9696077 1.23878 27.8% 14.5 5s
4811 465 1.01376 49 41 0.96961 1.05441 8.75% 11.8 10s
Cutting planes:
Gomory: 28
Cover: 3
Implied bound: 26
Projected implied bound: 34
MIR: 25
Flow cover: 92
Flow path: 2
Inf proof: 68
Explored 6417 nodes (74420 simplex iterations) in 11.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.969608 0.969522
Optimal solution found (tolerance 1.00e-02)
Best objective 9.696076863552e-01, best bound 9.733689649574e-01, gap 0.3879%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppp9n75ee.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz8ekw3ds.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.947369
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.636477e+00, 769 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63648 0 59 0.94737 1.63648 72.7% - 0s
0 0 1.59589 0 70 0.94737 1.59589 68.5% - 0s
0 0 1.59586 0 70 0.94737 1.59586 68.5% - 0s
0 0 1.56140 0 70 0.94737 1.56140 64.8% - 0s
0 0 1.56099 0 72 0.94737 1.56099 64.8% - 0s
0 0 1.54793 0 82 0.94737 1.54793 63.4% - 0s
0 0 1.54717 0 82 0.94737 1.54717 63.3% - 0s
0 0 1.54123 0 85 0.94737 1.54123 62.7% - 0s
0 0 1.54105 0 87 0.94737 1.54105 62.7% - 0s
0 0 1.54061 0 85 0.94737 1.54061 62.6% - 0s
0 0 1.54055 0 85 0.94737 1.54055 62.6% - 0s
0 0 1.54042 0 85 0.94737 1.54042 62.6% - 0s
0 0 1.54022 0 87 0.94737 1.54022 62.6% - 0s
0 0 1.53771 0 89 0.94737 1.53771 62.3% - 0s
0 0 1.53771 0 89 0.94737 1.53771 62.3% - 0s
0 0 1.53767 0 90 0.94737 1.53767 62.3% - 0s
0 0 1.53767 0 90 0.94737 1.53767 62.3% - 0s
0 0 1.53765 0 89 0.94737 1.53765 62.3% - 0s
0 0 1.53765 0 70 0.94737 1.53765 62.3% - 0s
0 2 1.53765 0 70 0.94737 1.53765 62.3% - 0s
2939 414 0.97095 45 60 0.94737 1.13141 19.4% 10.8 5s
7601 228 cutoff 74 0.94737 0.98264 3.72% 8.9 10s
Cutting planes:
Gomory: 3
Cover: 2
Implied bound: 5
Clique: 2
MIR: 8
Flow cover: 12
Inf proof: 3
Explored 8060 nodes (72401 simplex iterations) in 10.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.947369
Optimal solution found (tolerance 1.00e-02)
Best objective 9.473689482907e-01, best bound 9.495722519319e-01, gap 0.2326%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5y3mbma6.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5mlag89c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.942249
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.603477e+00, 857 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60348 0 61 0.94225 1.60348 70.2% - 0s
0 0 1.54905 0 71 0.94225 1.54905 64.4% - 0s
0 0 1.54905 0 73 0.94225 1.54905 64.4% - 0s
0 0 1.52903 0 81 0.94225 1.52903 62.3% - 0s
0 0 1.52776 0 79 0.94225 1.52776 62.1% - 0s
0 0 1.51465 0 77 0.94225 1.51465 60.7% - 0s
0 0 1.51043 0 78 0.94225 1.51043 60.3% - 0s
0 0 1.50021 0 82 0.94225 1.50021 59.2% - 0s
0 0 1.50015 0 87 0.94225 1.50015 59.2% - 0s
0 0 1.49976 0 88 0.94225 1.49976 59.2% - 0s
0 0 1.49952 0 87 0.94225 1.49952 59.1% - 0s
0 0 1.49925 0 93 0.94225 1.49925 59.1% - 0s
0 0 1.49918 0 93 0.94225 1.49918 59.1% - 0s
0 0 1.49889 0 87 0.94225 1.49889 59.1% - 0s
0 0 1.49887 0 86 0.94225 1.49887 59.1% - 0s
0 0 1.49887 0 79 0.94225 1.49887 59.1% - 0s
0 2 1.49887 0 79 0.94225 1.49887 59.1% - 0s
1952 623 1.11647 46 60 0.94225 1.20407 27.8% 12.6 5s
5530 967 1.02075 59 53 0.94225 1.04348 10.7% 11.4 10s
Cutting planes:
Gomory: 8
Implied bound: 4
Projected implied bound: 28
Clique: 2
MIR: 10
Flow cover: 26
Flow path: 1
Inf proof: 3
Explored 9397 nodes (101522 simplex iterations) in 14.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.942249
Optimal solution found (tolerance 1.00e-02)
Best objective 9.422489484173e-01, best bound 9.493209279124e-01, gap 0.7505%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbj8bq4xo.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuud0ujri.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911918
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.551594e+00, 813 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55159 0 63 0.91192 1.55159 70.1% - 0s
0 0 1.48352 0 73 0.91192 1.48352 62.7% - 0s
0 0 1.48352 0 73 0.91192 1.48352 62.7% - 0s
0 0 1.47853 0 83 0.91192 1.47853 62.1% - 0s
0 0 1.47773 0 83 0.91192 1.47773 62.0% - 0s
0 0 1.46059 0 81 0.91192 1.46059 60.2% - 0s
0 0 1.45847 0 80 0.91192 1.45847 59.9% - 0s
0 0 1.45165 0 95 0.91192 1.45165 59.2% - 0s
0 0 1.45134 0 97 0.91192 1.45134 59.2% - 0s
0 0 1.44957 0 96 0.91192 1.44957 59.0% - 0s
0 0 1.44941 0 94 0.91192 1.44941 58.9% - 0s
0 0 1.44915 0 97 0.91192 1.44915 58.9% - 0s
0 0 1.44914 0 94 0.91192 1.44914 58.9% - 0s
0 0 1.44909 0 100 0.91192 1.44909 58.9% - 0s
0 0 1.44896 0 98 0.91192 1.44896 58.9% - 0s
0 0 1.44846 0 96 0.91192 1.44846 58.8% - 0s
0 0 1.44846 0 97 0.91192 1.44846 58.8% - 0s
0 0 1.44826 0 98 0.91192 1.44826 58.8% - 0s
0 0 1.44826 0 98 0.91192 1.44826 58.8% - 0s
0 0 1.44823 0 98 0.91192 1.44823 58.8% - 0s
0 0 1.44823 0 81 0.91192 1.44823 58.8% - 0s
0 2 1.44823 0 79 0.91192 1.44823 58.8% - 0s
2156 629 1.07901 40 52 0.91192 1.11420 22.2% 10.7 5s
7307 1361 0.92697 52 54 0.91192 0.99231 8.82% 8.6 10s
Cutting planes:
Learned: 1
Gomory: 7
Cover: 1
Implied bound: 12
Projected implied bound: 29
Clique: 3
MIR: 9
Flow cover: 31
Inf proof: 6
Zero half: 1
Explored 10754 nodes (92937 simplex iterations) in 14.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.911918
Optimal solution found (tolerance 1.00e-02)
Best objective 9.119177734046e-01, best bound 9.175438718896e-01, gap 0.6170%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo7uaonqh.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeytnddhf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.912543
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.551864e+00, 797 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55186 0 60 0.91254 1.55186 70.1% - 0s
0 0 1.51241 0 72 0.91254 1.51241 65.7% - 0s
0 0 1.51035 0 69 0.91254 1.51035 65.5% - 0s
0 0 1.47838 0 73 0.91254 1.47838 62.0% - 0s
0 0 1.47730 0 75 0.91254 1.47730 61.9% - 0s
0 0 1.46805 0 71 0.91254 1.46805 60.9% - 0s
0 0 1.46331 0 71 0.91254 1.46331 60.4% - 0s
0 0 1.45775 0 75 0.91254 1.45775 59.7% - 0s
0 0 1.45684 0 83 0.91254 1.45684 59.6% - 0s
0 0 1.45489 0 87 0.91254 1.45489 59.4% - 0s
0 0 1.45472 0 87 0.91254 1.45472 59.4% - 0s
0 0 1.45460 0 88 0.91254 1.45460 59.4% - 0s
0 0 1.45351 0 89 0.91254 1.45351 59.3% - 0s
0 0 1.45351 0 78 0.91254 1.45351 59.3% - 0s
0 2 1.45351 0 77 0.91254 1.45351 59.3% - 0s
* 474 293 157 0.9125889 1.31392 44.0% 9.7 0s
1218 586 1.17506 28 97 0.91259 1.25786 37.8% 14.5 5s
4684 1048 infeasible 77 0.91259 1.07896 18.2% 13.2 10s
7514 1297 0.95359 64 44 0.91259 1.02306 12.1% 13.2 15s
10525 947 0.92293 49 49 0.91259 0.97419 6.75% 13.8 20s
Cutting planes:
Gomory: 36
Cover: 4
Implied bound: 53
Projected implied bound: 47
Clique: 3
MIR: 22
Flow cover: 93
Flow path: 3
Inf proof: 174
Explored 12891 nodes (179698 simplex iterations) in 23.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.912589 0.912543
Optimal solution found (tolerance 1.00e-02)
Best objective 9.125888554713e-01, best bound 9.165419490348e-01, gap 0.4332%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp30gabu9.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp02tbldcx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.907799
Presolve removed 494 rows and 309 columns
Presolve time: 0.03s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.523652e+00, 925 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52365 0 61 0.90780 1.52365 67.8% - 0s
0 0 1.47605 0 75 0.90780 1.47605 62.6% - 0s
0 0 1.47603 0 78 0.90780 1.47603 62.6% - 0s
0 0 1.43705 0 85 0.90780 1.43705 58.3% - 0s
0 0 1.43482 0 85 0.90780 1.43482 58.1% - 0s
0 0 1.42470 0 88 0.90780 1.42470 56.9% - 0s
0 0 1.42311 0 98 0.90780 1.42311 56.8% - 0s
0 0 1.42281 0 105 0.90780 1.42281 56.7% - 0s
0 0 1.42204 0 100 0.90780 1.42204 56.6% - 0s
0 0 1.42135 0 101 0.90780 1.42135 56.6% - 0s
0 0 1.42135 0 103 0.90780 1.42135 56.6% - 0s
0 0 1.42130 0 101 0.90780 1.42130 56.6% - 0s
0 0 1.42130 0 101 0.90780 1.42130 56.6% - 0s
0 0 1.42109 0 97 0.90780 1.42109 56.5% - 0s
0 0 1.42109 0 80 0.90780 1.42109 56.5% - 0s
0 2 1.42109 0 80 0.90780 1.42109 56.5% - 0s
998 566 1.25554 23 73 0.90780 1.27247 40.2% 15.6 5s
5637 1488 1.03717 52 66 0.90780 1.07227 18.1% 10.1 10s
9518 2139 infeasible 77 0.90780 1.02551 13.0% 9.7 15s
12681 2376 cutoff 57 0.90780 1.00428 10.6% 9.8 20s
15776 1918 infeasible 44 0.90780 0.98493 8.50% 10.2 25s
18759 749 infeasible 65 0.90780 0.94966 4.61% 10.2 30s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 9
Projected implied bound: 20
Clique: 2
MIR: 14
Flow cover: 41
Flow path: 1
Inf proof: 2
Explored 19918 nodes (201853 simplex iterations) in 31.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.907799
Optimal solution found (tolerance 1.00e-02)
Best objective 9.077989829457e-01, best bound 9.141743615366e-01, gap 0.7023%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp07br_aa1.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8223n3ny.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.893984
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.484079e+00, 933 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48408 0 67 0.89398 1.48408 66.0% - 0s
0 0 1.43812 0 80 0.89398 1.43812 60.9% - 0s
0 0 1.43809 0 82 0.89398 1.43809 60.9% - 0s
0 0 1.39815 0 91 0.89398 1.39815 56.4% - 0s
0 0 1.39718 0 91 0.89398 1.39718 56.3% - 0s
0 0 1.38841 0 100 0.89398 1.38841 55.3% - 0s
0 0 1.38738 0 97 0.89398 1.38738 55.2% - 0s
0 0 1.38624 0 107 0.89398 1.38624 55.1% - 0s
0 0 1.38547 0 104 0.89398 1.38547 55.0% - 0s
0 0 1.38494 0 101 0.89398 1.38494 54.9% - 0s
0 0 1.38482 0 103 0.89398 1.38482 54.9% - 0s
0 0 1.38416 0 104 0.89398 1.38416 54.8% - 0s
0 0 1.38416 0 101 0.89398 1.38416 54.8% - 0s
0 0 1.38416 0 101 0.89398 1.38416 54.8% - 0s
0 0 1.38416 0 84 0.89398 1.38416 54.8% - 0s
0 2 1.38416 0 83 0.89398 1.38416 54.8% - 0s
876 492 1.12934 30 77 0.89398 1.20407 34.7% 15.8 5s
2886 637 0.98467 59 40 0.89398 1.10609 23.7% 14.8 10s
7170 1588 0.99597 54 43 0.89398 0.99609 11.4% 11.7 15s
9961 1642 cutoff 69 0.89398 0.97145 8.67% 12.3 20s
12561 884 infeasible 56 0.89398 0.93738 4.85% 13.1 25s
Cutting planes:
Learned: 2
Gomory: 35
Cover: 1
Implied bound: 46
Projected implied bound: 36
Clique: 3
MIR: 28
Flow cover: 81
Flow path: 2
Inf proof: 181
Network: 1
Explored 14217 nodes (187896 simplex iterations) in 28.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.893984
Optimal solution found (tolerance 1.00e-02)
Best objective 8.939840288864e-01, best bound 9.021148089072e-01, gap 0.9095%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpltxylehd.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe9nzp8sx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.88355
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.514138e+00, 997 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51414 0 70 0.88355 1.51414 71.4% - 0s
0 0 1.47124 0 85 0.88355 1.47124 66.5% - 0s
0 0 1.47122 0 88 0.88355 1.47122 66.5% - 0s
0 0 1.44775 0 90 0.88355 1.44775 63.9% - 0s
0 0 1.44221 0 96 0.88355 1.44221 63.2% - 0s
0 0 1.41381 0 122 0.88355 1.41381 60.0% - 0s
0 0 1.41233 0 127 0.88355 1.41233 59.8% - 0s
0 0 1.40836 0 127 0.88355 1.40836 59.4% - 0s
0 0 1.40816 0 127 0.88355 1.40816 59.4% - 0s
0 0 1.40718 0 128 0.88355 1.40718 59.3% - 0s
0 0 1.40665 0 126 0.88355 1.40665 59.2% - 0s
0 0 1.40656 0 126 0.88355 1.40656 59.2% - 0s
0 0 1.40656 0 96 0.88355 1.40656 59.2% - 0s
0 2 1.40656 0 96 0.88355 1.40656 59.2% - 0s
* 563 427 152 0.8853324 1.26011 42.3% 10.6 1s
1038 649 0.96696 83 61 0.88533 1.25076 41.3% 13.5 5s
3554 1104 1.03679 35 91 0.88533 1.15463 30.4% 14.3 10s
6429 1115 0.89435 82 44 0.88533 1.03955 17.4% 13.0 15s
9770 1706 infeasible 68 0.88533 0.99945 12.9% 12.6 20s
11470 1709 infeasible 57 0.88533 0.98443 11.2% 13.1 25s
13455 1580 infeasible 58 0.88533 0.96398 8.88% 13.9 30s
H13458 1580 0.8853324 0.96373 8.86% 13.9 30s
15839 1079 cutoff 45 0.88533 0.94142 6.34% 14.6 35s
Cutting planes:
Gomory: 28
Cover: 5
Implied bound: 37
Projected implied bound: 47
Clique: 2
MIR: 21
Flow cover: 91
Flow path: 1
GUB cover: 1
Inf proof: 220
Zero half: 1
Explored 18316 nodes (271146 simplex iterations) in 39.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.885332 0.885332 0.88355
Optimal solution found (tolerance 1.00e-02)
Best objective 8.853324475155e-01, best bound 8.923134555823e-01, gap 0.7885%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppnnqa679.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcz7iikbq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.875779
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.488202e+00, 1015 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48820 0 73 0.87578 1.48820 69.9% - 0s
0 0 1.44685 0 90 0.87578 1.44685 65.2% - 0s
0 0 1.44682 0 91 0.87578 1.44682 65.2% - 0s
0 0 1.42406 0 99 0.87578 1.42406 62.6% - 0s
0 0 1.42395 0 99 0.87578 1.42395 62.6% - 0s
0 0 1.41305 0 104 0.87578 1.41305 61.3% - 0s
0 0 1.40816 0 100 0.87578 1.40816 60.8% - 0s
0 0 1.40055 0 112 0.87578 1.40055 59.9% - 0s
0 0 1.40028 0 114 0.87578 1.40028 59.9% - 0s
0 0 1.39953 0 102 0.87578 1.39953 59.8% - 0s
0 0 1.39943 0 105 0.87578 1.39943 59.8% - 0s
0 0 1.39918 0 107 0.87578 1.39918 59.8% - 0s
0 0 1.39918 0 107 0.87578 1.39918 59.8% - 0s
0 0 1.39816 0 109 0.87578 1.39816 59.6% - 0s
0 0 1.39812 0 109 0.87578 1.39812 59.6% - 0s
0 0 1.39804 0 112 0.87578 1.39804 59.6% - 0s
0 0 1.39803 0 111 0.87578 1.39803 59.6% - 0s
0 0 1.39803 0 111 0.87578 1.39803 59.6% - 0s
0 0 1.39803 0 98 0.87578 1.39803 59.6% - 0s
0 2 1.39803 0 98 0.87578 1.39803 59.6% - 0s
822 549 1.20334 16 105 0.87578 1.24862 42.6% 19.3 5s
2983 1060 0.95715 31 76 0.87578 1.14445 30.7% 15.4 10s
6942 1979 0.96171 49 45 0.87578 1.04528 19.4% 12.2 15s
10998 2217 infeasible 62 0.87578 0.98585 12.6% 11.1 20s
13579 1974 0.90684 63 41 0.87578 0.95767 9.35% 11.4 25s
16524 1448 0.93246 60 59 0.87578 0.93246 6.47% 11.9 30s
19495 559 cutoff 96 0.87578 0.89573 2.28% 12.1 35s
Cutting planes:
Learned: 1
Gomory: 29
Cover: 2
Implied bound: 37
Projected implied bound: 49
Clique: 4
MIR: 35
Flow cover: 104
Flow path: 3
Inf proof: 202
Explored 20173 nodes (243596 simplex iterations) in 35.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.875779
Optimal solution found (tolerance 1.00e-02)
Best objective 8.757792666595e-01, best bound 8.828430085740e-01, gap 0.8066%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpww4npikb.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp74a0pbam.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.874756
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.466268e+00, 948 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46627 0 75 0.87476 1.46627 67.6% - 0s
0 0 1.43472 0 92 0.87476 1.43472 64.0% - 0s
0 0 1.43293 0 89 0.87476 1.43293 63.8% - 0s
0 0 1.40559 0 93 0.87476 1.40559 60.7% - 0s
0 0 1.40526 0 94 0.87476 1.40526 60.6% - 0s
0 0 1.40022 0 106 0.87476 1.40022 60.1% - 0s
0 0 1.39883 0 108 0.87476 1.39883 59.9% - 0s
0 0 1.39715 0 112 0.87476 1.39715 59.7% - 0s
0 0 1.39699 0 111 0.87476 1.39699 59.7% - 0s
0 0 1.39416 0 110 0.87476 1.39416 59.4% - 0s
0 0 1.39411 0 105 0.87476 1.39411 59.4% - 0s
0 0 1.39406 0 109 0.87476 1.39406 59.4% - 0s
0 0 1.39404 0 109 0.87476 1.39404 59.4% - 0s
0 0 1.39404 0 110 0.87476 1.39404 59.4% - 0s
0 0 1.39404 0 98 0.87476 1.39404 59.4% - 0s
0 2 1.39404 0 96 0.87476 1.39404 59.4% - 0s
810 485 1.13450 18 101 0.87476 1.23190 40.8% 20.1 5s
2802 599 infeasible 36 0.87476 1.10730 26.6% 18.7 10s
H 3445 783 0.8748238 1.07800 23.2% 17.3 12s
5380 1432 infeasible 75 0.87482 1.04568 19.5% 15.3 15s
9252 2119 0.94282 44 68 0.87482 0.99254 13.5% 13.3 20s
12102 2198 0.90285 47 57 0.87482 0.95522 9.19% 13.1 25s
15144 2218 0.93144 47 47 0.87482 0.93340 6.70% 13.1 30s
17524 2134 0.88462 48 30 0.87482 0.92172 5.36% 13.0 35s
20264 1763 0.89550 58 43 0.87482 0.90915 3.92% 13.2 40s
23439 1144 infeasible 62 0.87482 0.88881 1.60% 13.1 45s
Cutting planes:
Learned: 1
Gomory: 33
Cover: 6
Implied bound: 34
Projected implied bound: 32
Clique: 2
MIR: 22
Flow cover: 111
Flow path: 2
Inf proof: 231
Explored 24247 nodes (315980 simplex iterations) in 46.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.874824 0.874756
Optimal solution found (tolerance 1.00e-02)
Best objective 8.748237823269e-01, best bound 8.826905760902e-01, gap 0.8992%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfgbr30bc.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph68es4ph.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870525
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.445457e+00, 942 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44546 0 79 0.87053 1.44546 66.0% - 0s
0 0 1.40618 0 96 0.87053 1.40618 61.5% - 0s
0 0 1.40616 0 97 0.87053 1.40616 61.5% - 0s
0 0 1.36935 0 101 0.87053 1.36935 57.3% - 0s
0 0 1.36840 0 106 0.87053 1.36840 57.2% - 0s
0 0 1.36631 0 110 0.87053 1.36631 57.0% - 0s
0 0 1.36174 0 125 0.87053 1.36174 56.4% - 0s
0 0 1.36074 0 125 0.87053 1.36074 56.3% - 0s
0 0 1.35974 0 126 0.87053 1.35974 56.2% - 0s
0 0 1.35972 0 132 0.87053 1.35972 56.2% - 0s
0 0 1.35971 0 132 0.87053 1.35971 56.2% - 0s
0 0 1.35971 0 130 0.87053 1.35971 56.2% - 0s
0 0 1.35971 0 97 0.87053 1.35971 56.2% - 0s
0 2 1.35971 0 97 0.87053 1.35971 56.2% - 0s
801 501 0.97886 18 105 0.87053 1.24072 42.5% 18.4 5s
2493 720 1.08810 33 90 0.87053 1.15280 32.4% 18.6 10s
4589 873 0.98397 35 80 0.87053 1.06140 21.9% 16.0 15s
9168 1937 0.97275 66 56 0.87053 1.00057 14.9% 12.5 20s
12363 2409 infeasible 69 0.87053 0.98038 12.6% 12.8 25s
H12602 2460 0.8705253 0.97832 12.4% 12.9 26s
13655 2576 0.87714 69 44 0.87053 0.97326 11.8% 13.0 30s
15946 2297 0.94882 64 81 0.87053 0.95136 9.29% 13.8 35s
18514 1822 infeasible 72 0.87053 0.92689 6.48% 14.3 40s
21022 777 infeasible 75 0.87053 0.88476 1.64% 14.2 45s
Cutting planes:
Gomory: 36
Cover: 4
Implied bound: 56
Projected implied bound: 44
Clique: 1
MIR: 32
Flow cover: 105
Flow path: 2
Inf proof: 269
Explored 21661 nodes (307603 simplex iterations) in 45.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.870525 0.870525
Optimal solution found (tolerance 1.00e-02)
Best objective 8.705253165909e-01, best bound 8.783573080258e-01, gap 0.8997%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpitx7yre3.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1ll16sf3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864993
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.420521e+00, 1039 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42052 0 81 0.86499 1.42052 64.2% - 0s
0 0 1.37120 0 96 0.86499 1.37120 58.5% - 0s
0 0 1.37118 0 97 0.86499 1.37118 58.5% - 0s
0 0 1.36208 0 104 0.86499 1.36208 57.5% - 0s
0 0 1.36200 0 102 0.86499 1.36200 57.5% - 0s
0 0 1.34864 0 104 0.86499 1.34864 55.9% - 0s
0 0 1.34689 0 102 0.86499 1.34689 55.7% - 0s
0 0 1.34234 0 128 0.86499 1.34234 55.2% - 0s
0 0 1.34204 0 130 0.86499 1.34204 55.2% - 0s
0 0 1.33836 0 133 0.86499 1.33836 54.7% - 0s
0 0 1.33834 0 132 0.86499 1.33834 54.7% - 0s
0 0 1.33787 0 133 0.86499 1.33787 54.7% - 0s
0 0 1.33787 0 135 0.86499 1.33787 54.7% - 0s
0 0 1.33782 0 135 0.86499 1.33782 54.7% - 0s
0 0 1.33782 0 135 0.86499 1.33782 54.7% - 0s
0 0 1.33782 0 134 0.86499 1.33782 54.7% - 0s
0 0 1.33782 0 118 0.86499 1.33782 54.7% - 0s
0 2 1.33782 0 116 0.86499 1.33782 54.7% - 0s
878 472 1.13991 17 115 0.86499 1.20775 39.6% 18.8 5s
* 1610 477 173 0.8650032 1.14891 32.8% 15.0 6s
3888 944 cutoff 44 0.86500 1.05172 21.6% 12.1 10s
8125 2342 0.92137 87 87 0.86500 0.99232 14.7% 10.3 15s
11997 2763 0.91851 68 86 0.86500 0.95184 10.0% 9.8 20s
14899 2465 infeasible 76 0.86500 0.92640 7.10% 9.7 25s
17860 1950 0.90024 121 55 0.86500 0.90444 4.56% 9.6 30s
21460 1543 0.89048 86 55 0.86500 0.89117 3.03% 9.2 35s
Cutting planes:
Gomory: 10
Implied bound: 11
Projected implied bound: 15
Clique: 2
MIR: 17
Flow cover: 45
Flow path: 2
Inf proof: 8
Explored 23466 nodes (213827 simplex iterations) in 37.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.865003 0.864993
Optimal solution found (tolerance 1.00e-02)
Best objective 8.650032361565e-01, best bound 8.725033090745e-01, gap 0.8671%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyl3u7w95.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptn3kivli.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.860885
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.403907e+00, 1132 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40391 0 83 0.86088 1.40391 63.1% - 0s
0 0 1.36820 0 101 0.86088 1.36820 58.9% - 0s
0 0 1.36817 0 103 0.86088 1.36817 58.9% - 0s
0 0 1.33265 0 114 0.86088 1.33265 54.8% - 0s
0 0 1.33066 0 102 0.86088 1.33066 54.6% - 0s
0 0 1.32319 0 125 0.86088 1.32319 53.7% - 0s
0 0 1.32305 0 123 0.86088 1.32305 53.7% - 0s
0 0 1.32209 0 130 0.86088 1.32209 53.6% - 0s
0 0 1.32155 0 135 0.86088 1.32155 53.5% - 0s
0 0 1.32146 0 136 0.86088 1.32146 53.5% - 0s
0 0 1.32146 0 136 0.86088 1.32146 53.5% - 0s
0 0 1.32140 0 138 0.86088 1.32140 53.5% - 0s
0 0 1.32140 0 113 0.86088 1.32140 53.5% - 0s
0 2 1.32140 0 111 0.86088 1.32140 53.5% - 0s
808 552 1.19369 12 97 0.86088 1.20457 39.9% 18.0 5s
2491 788 infeasible 68 0.86088 1.13174 31.5% 17.9 10s
5516 1235 0.96359 66 74 0.86088 1.01378 17.8% 14.7 15s
9344 1944 infeasible 77 0.86088 0.97369 13.1% 13.0 20s
11980 2043 infeasible 53 0.86088 0.94948 10.3% 13.1 25s
14175 1980 cutoff 66 0.86088 0.92680 7.66% 13.4 30s
16938 1542 infeasible 64 0.86088 0.90286 4.88% 13.7 35s
19569 1042 0.86984 74 39 0.86088 0.88668 3.00% 13.7 40s
Cutting planes:
Learned: 2
Gomory: 36
Cover: 5
Implied bound: 35
Projected implied bound: 43
Clique: 1
MIR: 34
Flow cover: 102
Flow path: 2
Inf proof: 259
Explored 21459 nodes (294047 simplex iterations) in 43.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.860885
Optimal solution found (tolerance 1.00e-02)
Best objective 8.608848370579e-01, best bound 8.687770456755e-01, gap 0.9168%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_gkxuaah.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8vy559t7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853218
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.381108e+00, 1070 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38111 0 86 0.85322 1.38111 61.9% - 0s
0 0 1.33087 0 105 0.85322 1.33087 56.0% - 0s
0 0 1.32843 0 103 0.85322 1.32843 55.7% - 0s
0 0 1.31237 0 112 0.85322 1.31237 53.8% - 0s
0 0 1.30922 0 135 0.85322 1.30922 53.4% - 0s
0 0 1.30191 0 141 0.85322 1.30191 52.6% - 0s
0 0 1.29797 0 134 0.85322 1.29797 52.1% - 0s
0 0 1.29493 0 136 0.85322 1.29493 51.8% - 0s
0 0 1.29415 0 134 0.85322 1.29415 51.7% - 0s
0 0 1.29366 0 134 0.85322 1.29366 51.6% - 0s
0 0 1.29363 0 138 0.85322 1.29363 51.6% - 0s
0 0 1.29330 0 131 0.85322 1.29330 51.6% - 0s
0 0 1.29327 0 131 0.85322 1.29327 51.6% - 0s
0 0 1.29323 0 132 0.85322 1.29323 51.6% - 0s
0 0 1.29322 0 133 0.85322 1.29322 51.6% - 0s
0 0 1.29311 0 133 0.85322 1.29311 51.6% - 0s
0 0 1.29311 0 116 0.85322 1.29311 51.6% - 0s
0 2 1.29311 0 114 0.85322 1.29311 51.6% - 0s
745 526 1.18702 15 102 0.85322 1.18702 39.1% 22.0 5s
2005 757 cutoff 22 0.85322 1.14631 34.4% 19.8 10s
3301 1227 0.87208 43 108 0.85322 1.11429 30.6% 18.2 15s
7008 1689 0.91401 77 87 0.85322 0.98597 15.6% 13.8 20s
11303 2888 0.86540 59 79 0.85322 0.96056 12.6% 12.3 25s
13793 3163 0.89296 76 67 0.85322 0.94147 10.3% 12.1 30s
16790 3586 infeasible 62 0.85322 0.92707 8.66% 12.1 35s
19887 3522 cutoff 79 0.85322 0.91477 7.21% 12.4 40s
22270 3085 0.87963 75 64 0.85322 0.90381 5.93% 12.8 45s
*23443 2923 128 0.8535953 0.89848 5.26% 13.0 47s
23483 2955 cutoff 87 0.85360 0.89835 5.24% 13.0 50s
H23484 2954 0.8536320 0.89835 5.24% 13.0 50s
H23486 2952 0.8537201 0.89835 5.23% 13.0 50s
25871 2617 0.88728 81 69 0.85372 0.88981 4.23% 13.1 55s
28392 1962 cutoff 75 0.85372 0.87993 3.07% 13.1 60s
30678 992 infeasible 88 0.85372 0.86301 1.09% 13.2 65s
Cutting planes:
Gomory: 21
Cover: 1
Implied bound: 31
Projected implied bound: 43
Clique: 2
MIR: 29
Flow cover: 108
Flow path: 3
Inf proof: 276
Explored 31036 nodes (408873 simplex iterations) in 65.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.85372 0.853632 0.853595 0.853218
Optimal solution found (tolerance 1.00e-02)
Best objective 8.537200951750e-01, best bound 8.612649026235e-01, gap 0.8838%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_am6www5.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv40s8ay_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.835473
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.348007e+00, 1004 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34801 0 85 0.83547 1.34801 61.3% - 0s
0 0 1.29886 0 102 0.83547 1.29886 55.5% - 0s
0 0 1.29648 0 99 0.83547 1.29648 55.2% - 0s
0 0 1.29317 0 112 0.83547 1.29317 54.8% - 0s
0 0 1.29099 0 116 0.83547 1.29099 54.5% - 0s
0 0 1.28301 0 125 0.83547 1.28301 53.6% - 0s
0 0 1.28132 0 121 0.83547 1.28132 53.4% - 0s
0 0 1.27166 0 117 0.83547 1.27166 52.2% - 0s
0 0 1.27021 0 114 0.83547 1.27021 52.0% - 0s
0 0 1.26915 0 128 0.83547 1.26915 51.9% - 0s
0 0 1.26915 0 125 0.83547 1.26915 51.9% - 0s
0 0 1.26915 0 126 0.83547 1.26915 51.9% - 0s
0 0 1.26848 0 119 0.83547 1.26848 51.8% - 0s
0 0 1.26845 0 119 0.83547 1.26845 51.8% - 0s
0 0 1.26845 0 110 0.83547 1.26845 51.8% - 0s
0 2 1.26845 0 109 0.83547 1.26845 51.8% - 0s
777 551 1.16051 11 115 0.83547 1.16051 38.9% 17.1 5s
1891 832 infeasible 20 0.83547 1.13763 36.2% 20.4 10s
3110 1183 0.99695 36 92 0.83547 1.11348 33.3% 20.8 15s
5794 1660 0.89869 60 68 0.83547 1.01901 22.0% 18.1 20s
8600 2009 0.86815 86 40 0.83547 0.96794 15.9% 16.0 26s
10913 2412 0.89025 66 55 0.83547 0.94584 13.2% 15.0 30s
13242 2856 0.86338 84 49 0.83547 0.92969 11.3% 14.4 35s
15359 2951 infeasible 48 0.83547 0.91279 9.25% 14.5 40s
17826 3087 0.84641 57 69 0.83547 0.89520 7.15% 14.2 45s
20237 3025 0.87714 41 78 0.83547 0.88335 5.73% 14.3 50s
22256 2722 infeasible 43 0.83547 0.87689 4.96% 14.4 55s
24244 2237 cutoff 70 0.83547 0.86939 4.06% 14.4 60s
26835 1464 cutoff 87 0.83547 0.85751 2.64% 14.3 65s
Cutting planes:
Learned: 1
Gomory: 59
Cover: 3
Implied bound: 43
Projected implied bound: 38
Clique: 2
MIR: 27
Flow cover: 110
Flow path: 2
Inf proof: 251
Zero half: 1
Explored 28821 nodes (409377 simplex iterations) in 69.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.835473
Optimal solution found (tolerance 1.00e-02)
Best objective 8.354732897540e-01, best bound 8.420340470024e-01, gap 0.7853%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdvsk5zqu.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphga0_fp8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.830759
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.346504e+00, 1134 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34650 0 92 0.83076 1.34650 62.1% - 0s
0 0 1.31385 0 108 0.83076 1.31385 58.2% - 0s
0 0 1.31382 0 107 0.83076 1.31382 58.1% - 0s
0 0 1.27884 0 128 0.83076 1.27884 53.9% - 0s
0 0 1.27863 0 129 0.83076 1.27863 53.9% - 0s
0 0 1.27128 0 144 0.83076 1.27128 53.0% - 0s
0 0 1.27094 0 143 0.83076 1.27094 53.0% - 0s
0 0 1.27094 0 146 0.83076 1.27094 53.0% - 0s
0 0 1.27084 0 146 0.83076 1.27084 53.0% - 0s
0 0 1.27024 0 140 0.83076 1.27024 52.9% - 0s
0 0 1.27015 0 142 0.83076 1.27015 52.9% - 0s
0 0 1.26972 0 142 0.83076 1.26972 52.8% - 0s
0 0 1.26972 0 114 0.83076 1.26972 52.8% - 0s
0 2 1.26972 0 112 0.83076 1.26972 52.8% - 0s
776 537 1.18803 15 129 0.83076 1.18803 43.0% 22.0 5s
2136 746 1.06133 39 107 0.83076 1.13496 36.6% 19.5 10s
4539 1834 0.88739 27 120 0.83076 1.07744 29.7% 15.6 15s
7947 2290 0.93979 63 70 0.83076 0.99913 20.3% 13.0 20s
11695 2916 infeasible 76 0.83076 0.96281 15.9% 11.3 25s
14527 3242 0.87200 81 76 0.83076 0.95193 14.6% 11.3 30s
17668 3609 0.91004 74 65 0.83076 0.94184 13.4% 11.4 35s
20137 3620 0.90018 93 70 0.83076 0.93088 12.1% 11.8 40s
20856 3740 0.90069 86 114 0.83076 0.92812 11.7% 11.9 54s
20858 3741 0.85437 82 95 0.83076 0.92812 11.7% 11.9 55s
20871 3750 0.85553 103 184 0.83076 0.92812 11.7% 11.9 60s
20876 3753 0.83080 86 187 0.83076 0.92812 11.7% 11.9 65s
20883 3758 0.89954 88 202 0.83076 0.92812 11.7% 11.9 70s
20889 3762 0.87760 75 209 0.83076 0.92812 11.7% 11.9 75s
20893 3765 0.87766 101 214 0.83076 0.92812 11.7% 11.9 80s
20901 3770 0.88056 83 221 0.83076 0.92812 11.7% 11.9 85s
20908 3775 0.90173 81 234 0.83076 0.92812 11.7% 11.9 90s
20914 3779 0.91118 88 205 0.83076 0.92812 11.7% 11.9 95s
20918 3781 0.89827 63 213 0.83076 0.92812 11.7% 11.9 100s
20923 3785 0.85991 94 222 0.83076 0.92812 11.7% 11.9 106s
20926 3787 0.88957 61 223 0.83076 0.92812 11.7% 11.9 110s
20930 3789 0.89876 92 219 0.83076 0.92812 11.7% 11.9 115s
20933 3791 0.87376 83 204 0.83076 0.92812 11.7% 11.9 120s
20938 3795 0.85913 101 201 0.83076 0.92812 11.7% 11.9 126s
20942 3797 0.90102 104 203 0.83076 0.92812 11.7% 11.9 130s
20946 3800 0.86338 82 207 0.83076 0.92812 11.7% 11.9 135s
20950 3803 0.83538 100 206 0.83076 0.92812 11.7% 11.9 140s
20956 3807 0.90069 86 215 0.83076 0.92812 11.7% 11.9 146s
20960 3809 0.85508 105 228 0.83076 0.92812 11.7% 11.9 151s
20964 3812 0.92535 60 211 0.83076 0.92812 11.7% 11.8 155s
20970 3816 0.83987 87 217 0.83076 0.92812 11.7% 11.8 161s
20974 3819 0.87094 75 216 0.83076 0.92812 11.7% 11.8 166s
20977 3821 0.85743 90 217 0.83076 0.92812 11.7% 11.8 170s
20981 3823 0.88313 58 222 0.83076 0.92812 11.7% 11.8 175s
20984 3825 0.89449 92 210 0.83076 0.92812 11.7% 11.8 181s
20986 3827 0.88953 60 205 0.83076 0.92812 11.7% 11.8 185s
20990 3829 0.87716 79 223 0.83076 0.92812 11.7% 11.8 191s
20994 3832 0.86930 91 214 0.83076 0.92812 11.7% 11.8 197s
20999 3835 0.92455 56 223 0.83076 0.92812 11.7% 11.8 200s
21003 3838 0.90662 83 212 0.83076 0.92812 11.7% 11.8 205s
21007 3841 0.85810 93 203 0.83076 0.92812 11.7% 11.8 210s
21013 3845 0.91692 71 215 0.83076 0.92812 11.7% 11.8 215s
21017 3847 0.88904 97 212 0.83076 0.92812 11.7% 11.8 220s
21022 3851 0.83570 80 212 0.83076 0.92812 11.7% 11.8 225s
21025 3853 0.91520 73 242 0.83076 0.92812 11.7% 11.8 231s
21029 3855 0.89154 102 246 0.83076 0.92812 11.7% 11.8 236s
21033 3858 0.87376 83 236 0.83076 0.92812 11.7% 11.8 240s
21038 3861 0.85913 101 236 0.83076 0.92812 11.7% 11.8 245s
H21038 3664 0.8307590 0.92812 11.7% 11.8 248s
21041 3666 0.90683 105 233 0.83076 0.92812 11.7% 11.8 250s
21045 3669 0.90672 63 236 0.83076 0.92812 11.7% 11.8 255s
21049 3672 0.85736 125 233 0.83076 0.92812 11.7% 11.8 261s
21053 3674 0.89337 104 233 0.83076 0.92812 11.7% 11.8 265s
21059 3678 0.86691 40 233 0.83076 0.92812 11.7% 11.8 270s
21064 3682 0.92535 60 234 0.83076 0.92812 11.7% 11.8 275s
21070 3686 0.83987 87 231 0.83076 0.92812 11.7% 11.8 280s
21074 3688 0.87094 75 235 0.83076 0.92812 11.7% 11.8 285s
21079 3692 0.92573 59 240 0.83076 0.92812 11.7% 11.8 290s
21083 3695 infeasible 25 0.83076 0.92812 11.7% 13.7 301s
21085 3694 0.92812 26 225 0.83076 0.92812 11.7% 13.8 308s
21087 3694 0.92812 27 229 0.83076 0.92812 11.7% 13.9 312s
21088 3693 infeasible 28 0.83076 0.92812 11.7% 13.9 315s
21149 3705 0.92812 39 164 0.83076 0.92812 11.7% 14.4 321s
21405 3689 infeasible 41 0.83076 0.92812 11.7% 15.1 325s
21784 3655 infeasible 41 0.83076 0.92812 11.7% 16.2 330s
22335 3687 cutoff 41 0.83076 0.92502 11.3% 17.2 335s
23108 3737 0.88082 50 135 0.83076 0.91187 9.76% 18.1 340s
23235 3718 infeasible 48 0.83076 0.91124 9.69% 18.4 345s
24181 3628 infeasible 51 0.83076 0.90162 8.53% 19.3 351s
24950 3460 cutoff 53 0.83076 0.89380 7.59% 20.0 355s
25836 3154 infeasible 52 0.83076 0.88341 6.34% 20.8 361s
26818 2785 cutoff 60 0.83076 0.87547 5.38% 21.3 365s
27963 2360 0.86457 55 91 0.83076 0.86484 4.10% 21.7 370s
29115 1956 0.86000 60 74 0.83076 0.86000 3.52% 21.8 375s
30520 1469 0.84161 59 54 0.83076 0.84629 1.87% 21.8 380s
*32322 943 77 0.8308551 0.84039 1.15% 21.4 384s
32471 882 0.83682 61 58 0.83086 0.83931 1.02% 21.3 385s
Cutting planes:
Learned: 3
Gomory: 170
Cover: 13
Implied bound: 34
Projected implied bound: 47
Clique: 25
MIR: 170
StrongCG: 6
Flow cover: 634
Flow path: 3
Inf proof: 108
Zero half: 1
Network: 1
Explored 33238 nodes (704526 simplex iterations) in 386.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.830855 0.830759 0.830759
Optimal solution found (tolerance 1.00e-02)
Best objective 8.308551314574e-01, best bound 8.390112939204e-01, gap 0.9817%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1ut7rw9u.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnppwuhov.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.816677
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.320321e+00, 1037 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32032 0 91 0.81668 1.32032 61.7% - 0s
0 0 1.29597 0 113 0.81668 1.29597 58.7% - 0s
0 0 1.29436 0 107 0.81668 1.29436 58.5% - 0s
0 0 1.26926 0 117 0.81668 1.26926 55.4% - 0s
0 0 1.26861 0 118 0.81668 1.26861 55.3% - 0s
0 0 1.25497 0 118 0.81668 1.25497 53.7% - 0s
0 0 1.25279 0 114 0.81668 1.25279 53.4% - 0s
0 0 1.25236 0 122 0.81668 1.25236 53.3% - 0s
0 0 1.25189 0 125 0.81668 1.25189 53.3% - 0s
0 0 1.25168 0 122 0.81668 1.25168 53.3% - 0s
0 0 1.25168 0 122 0.81668 1.25168 53.3% - 0s
0 0 1.25154 0 124 0.81668 1.25154 53.2% - 0s
0 0 1.25154 0 124 0.81668 1.25154 53.2% - 0s
0 0 1.25119 0 117 0.81668 1.25119 53.2% - 0s
0 0 1.25118 0 118 0.81668 1.25118 53.2% - 0s
0 0 1.25118 0 122 0.81668 1.25118 53.2% - 0s
0 0 1.25118 0 122 0.81668 1.25118 53.2% - 0s
0 0 1.25118 0 104 0.81668 1.25118 53.2% - 0s
0 2 1.25118 0 104 0.81668 1.25118 53.2% - 0s
788 560 1.17990 14 111 0.81668 1.17990 44.5% 17.7 5s
2536 876 1.08253 31 108 0.81668 1.12935 38.3% 17.9 11s
H 2537 876 0.8167909 1.12935 38.3% 17.9 11s
4377 1504 0.94943 35 127 0.81679 1.08683 33.1% 16.6 15s
7824 1637 infeasible 53 0.81679 1.00768 23.4% 14.5 20s
12220 2783 infeasible 62 0.81679 0.95182 16.5% 12.6 25s
15599 3267 0.83763 76 56 0.81679 0.91365 11.9% 12.1 30s
19239 3891 cutoff 77 0.81679 0.90050 10.2% 11.8 35s
20905 4122 0.86100 82 104 0.81679 0.89206 9.22% 11.8 54s
20909 4125 0.84262 64 152 0.81679 0.89206 9.22% 11.8 55s
20921 4133 0.85931 66 163 0.81679 0.89206 9.22% 11.8 61s
20930 4139 0.86794 62 178 0.81679 0.89206 9.22% 11.7 65s
20938 4144 0.82025 86 173 0.81679 0.89206 9.22% 11.7 71s
20942 4147 0.87273 62 189 0.81679 0.89206 9.22% 11.7 75s
20948 4151 0.86691 63 184 0.81679 0.89206 9.22% 11.7 80s
20957 4157 0.84726 71 203 0.81679 0.89206 9.22% 11.7 85s
20961 4159 0.82519 79 198 0.81679 0.89206 9.22% 11.7 90s
20968 4164 0.86107 79 197 0.81679 0.89206 9.22% 11.7 96s
20972 4167 0.84013 83 206 0.81679 0.89206 9.22% 11.7 100s
20978 4171 0.88425 72 203 0.81679 0.89206 9.22% 11.7 105s
20984 4175 0.84986 76 207 0.81679 0.89206 9.22% 11.7 110s
20989 4178 0.84255 84 203 0.81679 0.89206 9.22% 11.7 115s
20994 4181 0.87132 78 211 0.81679 0.89206 9.22% 11.7 120s
20999 4185 0.85436 72 207 0.81679 0.89206 9.22% 11.7 125s
21004 4188 0.88029 71 212 0.81679 0.89206 9.22% 11.7 130s
21011 4193 0.85402 73 217 0.81679 0.89206 9.22% 11.7 135s
21019 4198 0.85750 101 207 0.81679 0.89206 9.22% 11.7 140s
21026 4203 0.88474 81 213 0.81679 0.89206 9.22% 11.7 145s
21032 4207 0.88623 48 219 0.81679 0.89206 9.22% 11.7 153s
21035 4209 0.87000 71 218 0.81679 0.89206 9.22% 11.7 155s
21043 4214 0.88442 51 214 0.81679 0.89206 9.22% 11.7 160s
21051 4219 0.87656 74 208 0.81679 0.89206 9.22% 11.7 166s
21058 4224 0.87646 65 216 0.81679 0.89206 9.22% 11.7 170s
21065 4229 0.81899 89 213 0.81679 0.89206 9.22% 11.7 175s
21074 4235 0.84825 84 215 0.81679 0.89206 9.22% 11.7 180s
21080 4239 0.88365 36 220 0.81679 0.89206 9.22% 11.7 185s
21085 4242 0.86846 75 220 0.81679 0.89206 9.22% 11.7 190s
21091 4246 0.85200 77 218 0.81679 0.89206 9.22% 11.7 195s
21097 4250 0.86339 54 215 0.81679 0.89206 9.22% 11.7 200s
21103 4254 0.81726 92 219 0.81679 0.89206 9.22% 11.7 205s
21108 4257 0.84245 73 220 0.81679 0.89206 9.22% 11.7 210s
21115 4262 0.85899 77 221 0.81679 0.89206 9.22% 11.6 216s
21121 4266 0.85931 66 224 0.81679 0.89206 9.22% 11.6 220s
21127 4270 0.88824 77 224 0.81679 0.89206 9.22% 11.6 226s
21129 4273 0.89206 25 186 0.81679 0.89206 9.22% 13.2 232s
21131 4273 0.89206 26 196 0.81679 0.89206 9.22% 13.2 235s
H21162 4062 0.8170935 0.89206 9.18% 13.3 239s
21189 4055 infeasible 33 0.81709 0.89206 9.18% 13.4 240s
21660 4027 0.83127 34 162 0.81709 0.89206 9.18% 14.4 245s
22156 4042 cutoff 51 0.81709 0.89206 9.18% 15.1 250s
23064 4034 0.85741 41 144 0.81709 0.88645 8.49% 16.1 255s
23891 3977 0.83173 50 106 0.81709 0.87958 7.65% 16.9 260s
25181 3821 infeasible 55 0.81709 0.86969 6.44% 17.5 265s
26141 3646 0.83655 47 94 0.81709 0.86534 5.91% 17.9 270s
27302 3337 infeasible 73 0.81709 0.85815 5.02% 18.4 276s
28481 3030 infeasible 47 0.81709 0.85181 4.25% 18.9 280s
29680 2616 0.83552 55 87 0.81709 0.84535 3.46% 19.1 285s
31495 1999 infeasible 55 0.81709 0.83844 2.61% 19.3 290s
33128 1298 cutoff 51 0.81709 0.83149 1.76% 19.3 295s
Cutting planes:
Learned: 3
Gomory: 133
Cover: 11
Implied bound: 25
Projected implied bound: 42
Clique: 13
MIR: 180
StrongCG: 1
Flow cover: 534
GUB cover: 2
Inf proof: 111
Explored 34607 nodes (664457 simplex iterations) in 298.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.817094 0.816791 0.816677
Optimal solution found (tolerance 1.00e-02)
Best objective 8.170935308400e-01, best bound 8.243296372965e-01, gap 0.8856%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpegtggywd.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvjbnij1f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.799631
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.290844e+00, 1114 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29084 0 94 0.79963 1.29084 61.4% - 0s
0 0 1.24538 0 115 0.79963 1.24538 55.7% - 0s
0 0 1.24392 0 110 0.79963 1.24392 55.6% - 0s
0 0 1.23590 0 119 0.79963 1.23590 54.6% - 0s
0 0 1.23508 0 123 0.79963 1.23508 54.5% - 0s
0 0 1.21882 0 132 0.79963 1.21882 52.4% - 0s
0 0 1.21790 0 134 0.79963 1.21790 52.3% - 0s
0 0 1.21666 0 141 0.79963 1.21666 52.2% - 0s
0 0 1.21653 0 142 0.79963 1.21653 52.1% - 0s
0 0 1.21641 0 146 0.79963 1.21641 52.1% - 0s
0 0 1.21641 0 143 0.79963 1.21641 52.1% - 0s
0 0 1.21641 0 126 0.79963 1.21641 52.1% - 0s
0 2 1.21641 0 126 0.79963 1.21641 52.1% - 0s
766 520 1.13878 15 129 0.79963 1.13878 42.4% 20.0 5s
1732 709 1.03291 35 131 0.79963 1.11778 39.8% 22.2 10s
3153 1344 1.01314 36 127 0.79963 1.08655 35.9% 22.4 15s
5525 2341 0.82297 32 144 0.79963 1.05547 32.0% 22.4 20s
8192 2210 infeasible 66 0.79963 0.97620 22.1% 21.3 25s
10138 2640 0.81461 118 21 0.79963 0.95554 19.5% 19.4 30s
12895 3162 0.84913 78 38 0.79963 0.93424 16.8% 18.1 35s
15849 3543 0.81211 89 32 0.79963 0.91688 14.7% 17.3 40s
18551 3803 0.80271 82 29 0.79963 0.90019 12.6% 16.8 45s
20835 4102 0.86091 68 126 0.79963 0.89079 11.4% 16.4 63s
20844 4108 0.80760 78 143 0.79963 0.89079 11.4% 16.4 66s
20847 4110 0.87709 74 150 0.79963 0.89079 11.4% 16.4 70s
20854 4115 0.88695 58 152 0.79963 0.89079 11.4% 16.4 76s
20860 4119 0.85584 102 160 0.79963 0.89079 11.4% 16.4 81s
20865 4122 0.81314 71 178 0.79963 0.89079 11.4% 16.4 85s
20871 4126 0.88050 40 178 0.79963 0.89079 11.4% 16.4 91s
20875 4129 0.88693 72 167 0.79963 0.89079 11.4% 16.4 97s
20878 4131 0.80501 91 192 0.79963 0.89079 11.4% 16.3 100s
20884 4135 0.87281 53 195 0.79963 0.89079 11.4% 16.3 105s
20888 4137 0.80779 63 193 0.79963 0.89079 11.4% 16.3 110s
20893 4141 0.87012 59 198 0.79963 0.89079 11.4% 16.3 115s
20897 4143 0.85158 64 198 0.79963 0.89079 11.4% 16.3 120s
20901 4146 0.82477 94 200 0.79963 0.89079 11.4% 16.3 125s
20905 4149 0.88727 33 211 0.79963 0.89079 11.4% 16.3 130s
20910 4152 0.87092 69 198 0.79963 0.89079 11.4% 16.3 135s
20914 4155 0.87863 60 215 0.79963 0.89079 11.4% 16.3 140s
20919 4158 0.82867 96 208 0.79963 0.89079 11.4% 16.3 145s
20924 4161 0.86441 60 203 0.79963 0.89079 11.4% 16.3 151s
20928 4164 0.81840 70 212 0.79963 0.89079 11.4% 16.3 156s
20932 4167 0.88793 54 210 0.79963 0.89079 11.4% 16.3 160s
20939 4171 0.83057 44 216 0.79963 0.89079 11.4% 16.3 165s
20944 4175 0.80760 78 208 0.79963 0.89079 11.4% 16.3 170s
20949 4178 0.85666 57 213 0.79963 0.89079 11.4% 16.3 175s
20954 4181 0.88695 58 208 0.79963 0.89079 11.4% 16.3 180s
20959 4185 0.86938 65 210 0.79963 0.89079 11.4% 16.3 185s
20966 4189 0.84439 55 210 0.79963 0.89079 11.4% 16.3 190s
20973 4194 0.81968 87 206 0.79963 0.89079 11.4% 16.3 195s
20978 4197 0.80501 91 219 0.79963 0.89079 11.4% 16.3 200s
20984 4201 0.87281 53 204 0.79963 0.89079 11.4% 16.3 205s
20992 4207 0.87821 64 214 0.79963 0.89079 11.4% 16.3 210s
20999 4211 0.83436 60 211 0.79963 0.89079 11.4% 16.3 215s
21007 4217 0.82787 76 216 0.79963 0.89079 11.4% 16.2 220s
21015 4222 0.84423 66 220 0.79963 0.89079 11.4% 16.2 225s
21023 4227 0.86222 69 219 0.79963 0.89079 11.4% 16.2 230s
21029 4231 0.85949 72 217 0.79963 0.89079 11.4% 16.2 235s
21035 4235 0.86091 68 221 0.79963 0.89079 11.4% 16.2 240s
21040 4239 0.83377 59 217 0.79963 0.89079 11.4% 16.2 245s
21048 4244 0.80599 91 216 0.79963 0.89079 11.4% 16.2 251s
21050 4248 0.89079 30 215 0.79963 0.89079 11.4% 18.0 258s
21052 4249 0.89079 31 209 0.79963 0.89079 11.4% 18.0 264s
21056 4248 0.89079 32 207 0.79963 0.89079 11.4% 18.1 265s
21108 4246 0.89079 36 187 0.79963 0.89079 11.4% 18.5 270s
21274 4235 0.86671 49 119 0.79963 0.89079 11.4% 19.4 275s
21592 4219 0.84133 56 97 0.79963 0.89079 11.4% 20.5 280s
22087 4219 0.80284 83 31 0.79963 0.89079 11.4% 21.6 285s
22549 4219 infeasible 49 0.79963 0.88825 11.1% 22.5 290s
22893 4202 0.86143 55 106 0.79963 0.88524 10.7% 23.2 295s
23701 4198 0.81854 55 113 0.79963 0.87830 9.84% 24.1 301s
24314 4095 infeasible 51 0.79963 0.87265 9.13% 25.1 306s
24929 4040 0.85797 52 109 0.79963 0.87100 8.93% 25.7 310s
25716 3897 0.85833 47 89 0.79963 0.86309 7.94% 26.3 315s
26339 3835 0.81149 55 57 0.79963 0.85905 7.43% 26.7 322s
26882 3740 0.81258 51 107 0.79963 0.85676 7.14% 27.0 325s
27619 3551 infeasible 52 0.79963 0.85230 6.59% 27.4 330s
28710 3188 0.80767 62 54 0.79963 0.84601 5.80% 28.0 336s
29530 2899 cutoff 59 0.79963 0.84098 5.17% 28.5 341s
30376 2648 cutoff 52 0.79963 0.83375 4.27% 28.6 345s
H30639 2398 0.7996311 0.83252 4.11% 28.6 345s
31695 1996 0.80387 54 65 0.79963 0.82628 3.33% 28.7 351s
32659 1669 0.82179 61 87 0.79963 0.82293 2.91% 28.6 356s
34006 1522 cutoff 63 0.79963 0.81824 2.33% 28.4 361s
35529 1396 infeasible 54 0.79963 0.81493 1.91% 28.1 366s
36756 1237 infeasible 61 0.79963 0.81092 1.41% 27.7 370s
Cutting planes:
Learned: 4
Gomory: 153
Cover: 27
Implied bound: 34
Projected implied bound: 53
Clique: 12
MIR: 179
StrongCG: 2
Flow cover: 638
Flow path: 2
Inf proof: 150
Zero half: 1
Explored 38584 nodes (1050538 simplex iterations) in 374.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.799631 0.799631
Optimal solution found (tolerance 1.00e-02)
Best objective 7.996310921315e-01, best bound 8.072204172249e-01, gap 0.9491%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpan9udqam.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq66s7id4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.79593
Presolve removed 663 rows and 413 columns
Presolve time: 0.04s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.303242e+00, 1130 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30324 0 103 0.79593 1.30324 63.7% - 0s
0 0 1.26016 0 128 0.79593 1.26016 58.3% - 0s
0 0 1.25798 0 125 0.79593 1.25798 58.1% - 0s
0 0 1.23396 0 138 0.79593 1.23396 55.0% - 0s
0 0 1.23322 0 138 0.79593 1.23322 54.9% - 0s
0 0 1.22570 0 153 0.79593 1.22570 54.0% - 0s
0 0 1.22247 0 152 0.79593 1.22247 53.6% - 0s
0 0 1.21832 0 156 0.79593 1.21832 53.1% - 0s
0 0 1.21763 0 155 0.79593 1.21763 53.0% - 0s
0 0 1.21688 0 156 0.79593 1.21688 52.9% - 0s
0 0 1.21687 0 158 0.79593 1.21687 52.9% - 0s
0 0 1.21677 0 156 0.79593 1.21677 52.9% - 0s
0 0 1.21674 0 156 0.79593 1.21674 52.9% - 0s
0 0 1.21658 0 154 0.79593 1.21658 52.9% - 0s
0 0 1.21658 0 132 0.79593 1.21658 52.9% - 0s
0 2 1.21658 0 132 0.79593 1.21658 52.9% - 0s
751 518 1.13989 10 133 0.79593 1.13989 43.2% 19.4 5s
1797 674 infeasible 73 0.79593 1.12302 41.1% 20.2 10s
H 2346 745 0.7968056 1.10489 38.7% 20.3 11s
3729 1326 0.94954 43 135 0.79681 1.05886 32.9% 18.5 15s
H 3780 1350 0.7968383 1.05886 32.9% 18.5 15s
7281 2092 infeasible 49 0.79684 0.95598 20.0% 14.0 20s
9492 2599 cutoff 71 0.79684 0.94279 18.3% 12.9 25s
12582 3276 0.92839 69 65 0.79684 0.93154 16.9% 12.7 30s
15884 4147 infeasible 76 0.79684 0.92284 15.8% 12.8 35s
17691 4548 0.87129 81 52 0.79684 0.91951 15.4% 12.8 40s
20401 4860 0.86256 40 88 0.79684 0.91023 14.2% 13.0 45s
20632 4916 0.90715 50 132 0.79684 0.90949 14.1% 13.1 63s
20640 4921 0.80978 92 213 0.79684 0.90949 14.1% 13.1 65s
20649 4927 0.89509 66 225 0.79684 0.90949 14.1% 13.1 71s
20657 4933 0.83763 55 210 0.79684 0.90949 14.1% 13.1 76s
20663 4937 0.90874 75 220 0.79684 0.90949 14.1% 13.1 80s
20669 4941 0.83220 66 227 0.79684 0.90949 14.1% 13.1 85s
20672 4943 0.79764 121 222 0.79684 0.90949 14.1% 13.1 90s
20678 4947 0.89945 78 247 0.79684 0.90949 14.1% 13.1 95s
20683 4950 0.88461 50 242 0.79684 0.90949 14.1% 13.1 101s
20687 4953 0.83261 87 240 0.79684 0.90949 14.1% 13.1 105s
20692 4956 0.90188 35 248 0.79684 0.90949 14.1% 13.1 112s
20696 4959 0.82471 69 266 0.79684 0.90949 14.1% 13.1 115s
20701 4962 0.89500 66 252 0.79684 0.90949 14.1% 13.1 120s
20706 4965 0.88147 80 232 0.79684 0.90949 14.1% 13.1 126s
20710 4968 0.88661 79 255 0.79684 0.90949 14.1% 13.1 130s
20715 4971 0.81606 79 240 0.79684 0.90949 14.1% 13.1 135s
20719 4974 0.88270 45 246 0.79684 0.90949 14.1% 13.1 140s
20724 4977 0.90369 68 253 0.79684 0.90949 14.1% 13.1 145s
20728 4980 0.90433 35 251 0.79684 0.90949 14.1% 13.1 150s
20733 4983 0.88621 61 242 0.79684 0.90949 14.1% 13.0 155s
20738 4987 0.87756 44 231 0.79684 0.90949 14.1% 13.0 160s
20742 4989 0.90192 69 244 0.79684 0.90949 14.1% 13.0 165s
20746 4992 0.83763 55 230 0.79684 0.90949 14.1% 13.0 171s
20750 4995 0.90736 54 231 0.79684 0.90949 14.1% 13.0 176s
20754 4997 0.88810 59 233 0.79684 0.90949 14.1% 13.0 180s
20758 5000 0.85226 97 236 0.79684 0.90949 14.1% 13.0 185s
20764 5004 0.89603 68 234 0.79684 0.90949 14.1% 13.0 190s
20767 5006 0.89788 80 232 0.79684 0.90949 14.1% 13.0 197s
20769 5007 0.83220 66 236 0.79684 0.90949 14.1% 13.0 200s
20774 5011 0.89065 41 240 0.79684 0.90949 14.1% 13.0 205s
20779 5014 0.80109 94 245 0.79684 0.90949 14.1% 13.0 211s
20783 5017 0.88461 50 252 0.79684 0.90949 14.1% 13.0 215s
20785 5018 0.89065 41 247 0.79684 0.90949 14.1% 13.0 220s
20790 5021 0.90833 43 247 0.79684 0.90949 14.1% 13.0 226s
20794 5024 0.80742 78 248 0.79684 0.90949 14.1% 13.0 231s
20801 5029 0.89500 66 244 0.79684 0.90949 14.1% 13.0 235s
20805 5031 0.87421 58 243 0.79684 0.90949 14.1% 13.0 240s
20809 5034 0.82368 72 241 0.79684 0.90949 14.1% 13.0 246s
20813 5037 0.84146 63 244 0.79684 0.90949 14.1% 13.0 250s
20819 5041 0.88270 45 241 0.79684 0.90949 14.1% 13.0 255s
20824 5044 0.90369 68 244 0.79684 0.90949 14.1% 13.0 260s
20830 5048 0.86041 89 244 0.79684 0.90949 14.1% 13.0 265s
20836 5052 0.83552 77 243 0.79684 0.90949 14.1% 13.0 271s
20840 5055 0.80978 92 243 0.79684 0.90949 14.1% 13.0 275s
20846 5059 0.83763 55 245 0.79684 0.90949 14.1% 13.0 280s
20852 5063 0.89939 82 250 0.79684 0.90949 14.1% 13.0 285s
20857 5066 0.83763 55 250 0.79684 0.90949 14.1% 13.0 290s
20860 5068 0.80963 92 251 0.79684 0.90949 14.1% 13.0 295s
20865 5071 0.89479 71 252 0.79684 0.90949 14.1% 13.0 300s
20868 5074 0.90949 21 220 0.79684 0.90949 14.1% 15.3 310s
20870 5075 0.87920 22 192 0.79684 0.90949 14.1% 15.3 317s
20877 5070 cutoff 25 0.79684 0.90949 14.1% 15.4 320s
H20895 4809 0.7968384 0.90949 14.1% 15.6 323s
20909 4809 0.82924 38 196 0.79684 0.90949 14.1% 15.7 325s
21029 4810 0.90938 46 170 0.79684 0.90949 14.1% 16.0 330s
21442 4905 cutoff 47 0.79684 0.90949 14.1% 16.6 335s
21733 4891 infeasible 48 0.79684 0.90949 14.1% 17.5 340s
22111 4866 0.89383 56 136 0.79684 0.90949 14.1% 18.3 345s
22623 4891 infeasible 51 0.79684 0.90810 14.0% 19.0 350s
23327 4817 0.89638 51 149 0.79684 0.89896 12.8% 19.9 355s
23857 4763 0.88452 59 124 0.79684 0.89535 12.4% 20.6 360s
24290 4719 0.86720 54 155 0.79684 0.89214 12.0% 21.2 365s
25167 4696 infeasible 65 0.79684 0.88571 11.2% 22.0 371s
26143 4591 0.86711 59 132 0.79684 0.87834 10.2% 22.4 376s
26674 4523 infeasible 70 0.79684 0.87278 9.53% 22.8 380s
27566 4451 0.79777 73 65 0.79684 0.86819 8.95% 23.0 385s
29009 4213 infeasible 57 0.79684 0.86182 8.15% 23.4 392s
29926 4039 infeasible 59 0.79684 0.85697 7.55% 23.6 397s
30947 3802 0.80124 66 81 0.79684 0.85331 7.09% 23.9 402s
31468 3651 infeasible 59 0.79684 0.84923 6.58% 23.9 405s
*31596 3347 103 0.7973453 0.84923 6.51% 23.9 405s
32088 3262 0.83631 64 85 0.79735 0.84694 6.22% 23.9 412s
33138 2987 cutoff 64 0.79735 0.84308 5.74% 24.0 416s
33551 2864 infeasible 62 0.79735 0.84132 5.51% 24.1 420s
34891 2546 infeasible 67 0.79735 0.83688 4.96% 24.2 426s
36015 2491 infeasible 66 0.79735 0.83273 4.44% 24.3 430s
37362 2364 infeasible 67 0.79735 0.82825 3.88% 24.3 435s
39444 2123 0.81524 64 62 0.79735 0.82089 2.95% 24.3 440s
41243 1724 cutoff 60 0.79735 0.81380 2.06% 24.1 445s
Cutting planes:
Learned: 4
Gomory: 182
Cover: 14
Implied bound: 31
Projected implied bound: 49
Clique: 6
MIR: 191
StrongCG: 6
Flow cover: 671
Flow path: 4
Inf proof: 178
Network: 1
Explored 43235 nodes (1032548 simplex iterations) in 449.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.797345 0.796838 0.796838 ... 0.79593
Optimal solution found (tolerance 1.00e-02)
Best objective 7.973452918611e-01, best bound 8.044280986433e-01, gap 0.8883%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprphcz61a.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzcvmv1zz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.790376
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.286051e+00, 1142 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28605 0 101 0.79038 1.28605 62.7% - 0s
0 0 1.25682 0 119 0.79038 1.25682 59.0% - 0s
0 0 1.25680 0 117 0.79038 1.25680 59.0% - 0s
0 0 1.23962 0 131 0.79038 1.23962 56.8% - 0s
0 0 1.23787 0 131 0.79038 1.23787 56.6% - 0s
0 0 1.22677 0 146 0.79038 1.22677 55.2% - 0s
0 0 1.22409 0 144 0.79038 1.22409 54.9% - 0s
0 0 1.21620 0 159 0.79038 1.21620 53.9% - 0s
0 0 1.21611 0 157 0.79038 1.21611 53.9% - 0s
0 0 1.21598 0 157 0.79038 1.21598 53.8% - 0s
0 0 1.21592 0 159 0.79038 1.21592 53.8% - 0s
0 0 1.21589 0 155 0.79038 1.21589 53.8% - 0s
0 0 1.21589 0 126 0.79038 1.21589 53.8% - 0s
0 2 1.21589 0 126 0.79038 1.21589 53.8% - 0s
748 529 1.14505 12 116 0.79038 1.14505 44.9% 23.4 5s
3895 1776 0.84276 37 118 0.79038 1.04783 32.6% 17.4 10s
6952 2634 infeasible 38 0.79038 1.00525 27.2% 18.1 15s
10586 3645 infeasible 45 0.79038 0.97253 23.0% 16.1 20s
H12591 4126 0.7905510 0.95951 21.4% 15.4 23s
H12594 4125 0.7906803 0.95876 21.3% 15.4 23s
13854 4102 infeasible 56 0.79068 0.95096 20.3% 15.1 25s
18621 4838 0.85814 96 58 0.79068 0.92976 17.6% 14.3 30s
20691 5007 cutoff 56 0.79068 0.92140 16.5% 14.4 46s
23376 5381 0.90720 76 91 0.79068 0.91482 15.7% 14.8 50s
26769 5674 0.86736 76 95 0.79068 0.90561 14.5% 15.7 55s
30034 5904 infeasible 69 0.79068 0.89695 13.4% 16.0 60s
33033 6012 infeasible 71 0.79068 0.88798 12.3% 16.5 65s
36154 6028 infeasible 67 0.79068 0.87916 11.2% 16.7 70s
39499 6015 infeasible 43 0.79068 0.87034 10.1% 16.9 75s
42284 5810 infeasible 123 0.79068 0.86182 9.00% 17.0 80s
45219 5481 infeasible 96 0.79068 0.85345 7.94% 17.1 85s
48252 5128 infeasible 77 0.79068 0.84425 6.78% 17.1 90s
50397 4910 cutoff 50 0.79068 0.83947 6.17% 17.1 95s
53735 4619 infeasible 75 0.79068 0.83340 5.40% 17.0 100s
56665 4225 cutoff 68 0.79068 0.82770 4.68% 16.9 105s
*56884 4227 170 0.7908311 0.82769 4.66% 16.8 105s
59863 3598 infeasible 69 0.79083 0.82122 3.84% 16.8 110s
62997 2893 cutoff 131 0.79083 0.81520 3.08% 16.7 115s
66526 1740 cutoff 73 0.79083 0.80725 2.08% 16.5 120s
Cutting planes:
Gomory: 58
Cover: 4
Implied bound: 70
Projected implied bound: 44
Clique: 2
MIR: 43
Flow cover: 199
Flow path: 3
Inf proof: 506
Explored 68513 nodes (1126505 simplex iterations) in 123.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.790831 0.79068 0.790551 0.790376
Optimal solution found (tolerance 1.00e-02)
Best objective 7.908311174559e-01, best bound 7.978568041373e-01, gap 0.8884%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi9ogbw2d.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpetno6pxy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.780988
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.261316e+00, 1277 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26132 0 102 0.78099 1.26132 61.5% - 0s
0 0 1.23300 0 127 0.78099 1.23300 57.9% - 0s
0 0 1.23298 0 126 0.78099 1.23298 57.9% - 0s
0 0 1.20373 0 142 0.78099 1.20373 54.1% - 0s
0 0 1.20302 0 141 0.78099 1.20302 54.0% - 0s
0 0 1.19536 0 152 0.78099 1.19536 53.1% - 0s
0 0 1.19532 0 150 0.78099 1.19532 53.1% - 0s
0 0 1.19474 0 160 0.78099 1.19474 53.0% - 0s
0 0 1.19434 0 152 0.78099 1.19434 52.9% - 0s
0 0 1.19429 0 156 0.78099 1.19429 52.9% - 0s
0 0 1.19425 0 156 0.78099 1.19425 52.9% - 0s
0 0 1.19379 0 158 0.78099 1.19379 52.9% - 0s
0 0 1.19275 0 159 0.78099 1.19275 52.7% - 0s
0 0 1.19260 0 158 0.78099 1.19260 52.7% - 0s
0 0 1.19257 0 154 0.78099 1.19257 52.7% - 0s
0 0 1.19257 0 159 0.78099 1.19257 52.7% - 0s
0 0 1.19251 0 154 0.78099 1.19251 52.7% - 0s
0 0 1.19251 0 155 0.78099 1.19251 52.7% - 0s
0 0 1.19251 0 130 0.78099 1.19251 52.7% - 0s
0 2 1.19251 0 129 0.78099 1.19251 52.7% - 0s
768 519 0.96542 52 143 0.78099 1.13816 45.7% 18.4 5s
2173 917 1.06229 25 154 0.78099 1.09649 40.4% 26.1 10s
H 2827 1229 0.7811990 1.08502 38.9% 26.7 11s
4381 1954 1.00028 32 152 0.78120 1.06633 36.5% 27.5 15s
6585 2456 infeasible 48 0.78120 1.02501 31.2% 27.2 20s
H 9183 2496 0.7811990 0.96863 24.0% 23.6 24s
9753 2566 0.89542 69 123 0.78120 0.96169 23.1% 23.0 25s
14469 3755 0.83105 73 48 0.78120 0.93346 19.5% 20.0 30s
16824 4200 0.81896 69 80 0.78120 0.92498 18.4% 19.8 35s
20796 4840 0.90075 32 130 0.78120 0.91041 16.5% 19.3 54s
20799 4842 0.90536 62 118 0.78120 0.91041 16.5% 19.3 55s
20813 4851 0.87596 67 197 0.78120 0.91041 16.5% 19.3 60s
20825 4859 0.81304 74 207 0.78120 0.91041 16.5% 19.2 65s
20836 4867 0.82189 65 216 0.78120 0.91041 16.5% 19.2 70s
20845 4873 0.85063 59 228 0.78120 0.91041 16.5% 19.2 75s
20853 4878 0.80495 88 220 0.78120 0.91041 16.5% 19.2 80s
20862 4884 0.84642 80 227 0.78120 0.91041 16.5% 19.2 85s
20870 4889 0.81312 50 232 0.78120 0.91041 16.5% 19.2 90s
20879 4895 0.88215 56 233 0.78120 0.91041 16.5% 19.2 95s
20888 4901 0.86093 44 241 0.78120 0.91041 16.5% 19.2 100s
20895 4906 0.81880 91 252 0.78120 0.91041 16.5% 19.2 105s
20903 4911 0.81387 123 257 0.78120 0.91041 16.5% 19.2 110s
20911 4917 0.88390 67 253 0.78120 0.91041 16.5% 19.2 115s
20922 4924 0.85088 69 232 0.78120 0.91041 16.5% 19.2 121s
20927 4927 0.80697 49 236 0.78120 0.91041 16.5% 19.2 125s
20934 4932 0.90327 52 267 0.78120 0.91041 16.5% 19.1 130s
20937 4934 0.89902 68 0 0.78120 0.91041 16.5% 19.1 140s
20938 4935 0.78284 76 0 0.78120 0.91041 16.5% 19.1 150s
20940 4937 postponed 25 0.78120 0.90990 16.5% 22.9 160s
20944 4939 0.89857 27 236 0.78120 0.90015 15.2% 23.2 168s
20947 4939 0.89719 28 232 0.78120 0.89924 15.1% 23.2 170s
21024 4942 0.80405 36 194 0.78120 0.89699 14.8% 23.5 175s
21668 4906 0.83392 34 153 0.78120 0.88399 13.2% 24.0 180s
22554 4928 0.85763 45 147 0.78120 0.87885 12.5% 24.4 185s
23547 5036 infeasible 58 0.78120 0.87247 11.7% 24.5 190s
24356 5036 0.81980 49 117 0.78120 0.86916 11.3% 24.7 195s
25922 5032 0.81862 51 111 0.78120 0.86494 10.7% 24.6 200s
27424 5047 0.85456 46 97 0.78120 0.86271 10.4% 24.5 205s
28887 4972 0.84086 44 126 0.78120 0.85968 10.0% 24.3 210s
30203 4877 0.84328 53 124 0.78120 0.85610 9.59% 24.2 215s
32488 4630 infeasible 57 0.78120 0.85087 8.92% 23.9 221s
33878 4367 infeasible 50 0.78120 0.84739 8.47% 23.8 225s
35965 4151 0.80564 59 87 0.78120 0.84350 7.97% 23.5 231s
37606 4432 0.83905 55 121 0.78120 0.84063 7.61% 23.2 235s
39930 4829 0.78340 78 34 0.78120 0.83598 7.01% 22.9 240s
41700 4972 infeasible 69 0.78120 0.83280 6.61% 22.7 245s
43812 5131 infeasible 63 0.78120 0.82771 5.95% 22.4 250s
45363 5175 infeasible 54 0.78120 0.82429 5.52% 22.2 255s
47883 5332 cutoff 55 0.78120 0.81958 4.91% 21.9 260s
50392 5477 infeasible 56 0.78120 0.81562 4.41% 21.5 265s
52283 5371 0.79967 50 75 0.78120 0.81192 3.93% 21.4 270s
53894 5290 infeasible 66 0.78120 0.80885 3.54% 21.2 275s
55919 5003 0.80462 62 71 0.78120 0.80475 3.01% 21.0 280s
57497 4621 0.79920 59 104 0.78120 0.80173 2.63% 20.9 285s
59069 4223 infeasible 56 0.78120 0.79867 2.24% 20.8 290s
60518 3690 cutoff 53 0.78120 0.79494 1.76% 20.8 295s
62060 3297 0.78667 59 67 0.78120 0.79173 1.35% 20.6 300s
Cutting planes:
Learned: 3
Gomory: 84
Cover: 7
Implied bound: 18
Projected implied bound: 15
Clique: 4
MIR: 87
StrongCG: 4
Flow cover: 233
Inf proof: 9
Zero half: 1
Explored 63795 nodes (1307222 simplex iterations) in 304.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.781199 0.781199 0.780988
Optimal solution found (tolerance 1.00e-02)
Best objective 7.811990429622e-01, best bound 7.887816310702e-01, gap 0.9706%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppt2hiadd.pyomo.lp
Reading time = 0.02 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnyenvea6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.769959
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.248848e+00, 1261 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24885 0 103 0.76996 1.24885 62.2% - 0s
0 0 1.20810 0 134 0.76996 1.20810 56.9% - 0s
0 0 1.20676 0 129 0.76996 1.20676 56.7% - 0s
0 0 1.20187 0 132 0.76996 1.20187 56.1% - 0s
0 0 1.20105 0 137 0.76996 1.20105 56.0% - 0s
0 0 1.19238 0 151 0.76996 1.19238 54.9% - 0s
0 0 1.18745 0 159 0.76996 1.18745 54.2% - 0s
0 0 1.18404 0 177 0.76996 1.18404 53.8% - 0s
0 0 1.18333 0 180 0.76996 1.18333 53.7% - 0s
0 0 1.18327 0 181 0.76996 1.18327 53.7% - 0s
0 0 1.18327 0 183 0.76996 1.18327 53.7% - 0s
0 0 1.18220 0 175 0.76996 1.18220 53.5% - 0s
0 0 1.18220 0 175 0.76996 1.18220 53.5% - 0s
0 0 1.18215 0 175 0.76996 1.18215 53.5% - 0s
0 0 1.18215 0 175 0.76996 1.18215 53.5% - 0s
0 0 1.18215 0 132 0.76996 1.18215 53.5% - 0s
0 2 1.18215 0 132 0.76996 1.18215 53.5% - 0s
761 557 1.14682 13 130 0.76996 1.14682 48.9% 20.5 5s
H 1874 813 0.7699690 1.09587 42.3% 17.8 7s
H 1894 798 0.7704088 1.09587 42.2% 17.8 7s
3734 1670 1.00937 39 163 0.77041 1.05851 37.4% 15.9 10s
6995 2428 0.84559 90 89 0.77041 0.98995 28.5% 14.3 15s
11816 3071 infeasible 31 0.77041 0.94400 22.5% 13.2 20s
16486 3963 0.84482 93 97 0.77041 0.91228 18.4% 12.5 25s
Cutting planes:
Gomory: 21
Cover: 1
Implied bound: 47
Projected implied bound: 43
Clique: 2
MIR: 35
Flow cover: 107
Flow path: 3
Inf proof: 177
Network: 1
Explored 20639 nodes (253482 simplex iterations) in 28.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.770409 0.769969 0.769959
Optimal solution found (tolerance 1.00e-02)
Best objective 7.704088060322e-01, best bound 7.704088060322e-01, gap 0.0000%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9i15xcpn.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoo0wbbgp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.762019
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.230947e+00, 1260 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23095 0 112 0.76202 1.23095 61.5% - 0s
0 0 1.21367 0 129 0.76202 1.21367 59.3% - 0s
0 0 1.21362 0 130 0.76202 1.21362 59.3% - 0s
0 0 1.18836 0 136 0.76202 1.18836 55.9% - 0s
0 0 1.18736 0 135 0.76202 1.18736 55.8% - 0s
0 0 1.17944 0 133 0.76202 1.17944 54.8% - 0s
0 0 1.17766 0 134 0.76202 1.17766 54.5% - 0s
0 0 1.17553 0 145 0.76202 1.17553 54.3% - 0s
0 0 1.17421 0 149 0.76202 1.17421 54.1% - 0s
0 0 1.17374 0 153 0.76202 1.17374 54.0% - 0s
0 0 1.17374 0 153 0.76202 1.17374 54.0% - 0s
0 0 1.17314 0 147 0.76202 1.17314 54.0% - 0s
0 0 1.17314 0 149 0.76202 1.17314 54.0% - 0s
0 0 1.17314 0 148 0.76202 1.17314 54.0% - 0s
0 0 1.17314 0 132 0.76202 1.17314 54.0% - 0s
0 2 1.17314 0 131 0.76202 1.17314 54.0% - 0s
770 511 1.06393 15 151 0.76202 1.09703 44.0% 21.5 5s
H 1801 704 0.7622947 1.05739 38.7% 19.8 8s
2608 1022 0.78354 158 30 0.76229 1.04867 37.6% 17.7 10s
5661 2087 infeasible 41 0.76229 0.98833 29.7% 15.9 15s
9884 2625 infeasible 64 0.76229 0.94832 24.4% 14.6 20s
13854 3236 0.81594 91 90 0.76229 0.91984 20.7% 13.6 25s
17580 3678 0.77806 96 71 0.76229 0.89384 17.3% 13.1 30s
21580 4210 0.86721 78 132 0.76229 0.87211 14.4% 12.9 51s
21592 4218 0.81314 98 190 0.76229 0.87211 14.4% 12.9 55s
21597 4221 0.86439 76 211 0.76229 0.87211 14.4% 12.9 60s
21606 4227 0.85886 77 213 0.76229 0.87211 14.4% 12.9 66s
21610 4230 0.77572 122 220 0.76229 0.87211 14.4% 12.9 70s
21619 4236 0.80332 81 236 0.76229 0.87211 14.4% 12.9 75s
21624 4239 0.85639 76 233 0.76229 0.87211 14.4% 12.9 80s
21630 4243 0.84385 52 239 0.76229 0.87211 14.4% 12.9 86s
21636 4247 0.81516 92 249 0.76229 0.87211 14.4% 12.9 90s
21642 4251 0.81516 93 259 0.76229 0.87211 14.4% 12.9 95s
21647 4255 0.78056 124 257 0.76229 0.87211 14.4% 12.9 100s
21651 4257 0.87152 100 254 0.76229 0.87211 14.4% 12.9 105s
21655 4260 0.86302 90 272 0.76229 0.87211 14.4% 12.9 110s
21660 4263 0.81143 62 267 0.76229 0.87211 14.4% 12.9 115s
21664 4266 0.79792 83 258 0.76229 0.87211 14.4% 12.8 120s
21671 4271 0.78931 87 264 0.76229 0.87211 14.4% 12.8 125s
21677 4275 0.81991 91 279 0.76229 0.87211 14.4% 12.8 130s
21683 4279 0.82961 82 267 0.76229 0.87211 14.4% 12.8 135s
21688 4282 0.84203 83 257 0.76229 0.87211 14.4% 12.8 140s
21695 4287 0.77869 88 279 0.76229 0.87211 14.4% 12.8 145s
21699 4289 0.82969 41 269 0.76229 0.87211 14.4% 12.8 150s
21703 4292 0.77416 103 270 0.76229 0.87211 14.4% 12.8 155s
H21703 4075 0.7622947 0.87211 14.4% 12.8 156s
21708 4078 0.85681 87 266 0.76229 0.87211 14.4% 12.8 160s
21714 4082 0.85397 82 269 0.76229 0.87211 14.4% 12.8 165s
21718 4085 0.76656 122 267 0.76229 0.87211 14.4% 12.8 170s
21724 4089 0.85639 76 264 0.76229 0.87211 14.4% 12.8 176s
21729 4092 0.80779 103 255 0.76229 0.87211 14.4% 12.8 180s
21730 4093 0.84385 52 265 0.76229 0.87211 14.4% 12.8 198s
21731 4094 0.83013 58 249 0.76229 0.87211 14.4% 12.8 201s
21735 4096 0.81854 83 256 0.76229 0.87211 14.4% 12.8 206s
21738 4098 0.83442 91 257 0.76229 0.87211 14.4% 12.8 210s
21744 4102 0.87025 48 255 0.76229 0.87211 14.4% 12.8 216s
21748 4105 0.83442 84 262 0.76229 0.87211 14.4% 12.8 220s
21755 4110 0.86302 90 269 0.76229 0.87211 14.4% 12.8 225s
21760 4113 0.81143 62 257 0.76229 0.87211 14.4% 12.8 230s
21765 4116 0.80691 117 254 0.76229 0.87211 14.4% 12.8 235s
21771 4120 0.78931 87 263 0.76229 0.87211 14.4% 12.8 240s
21777 4124 0.81991 91 271 0.76229 0.87211 14.4% 12.8 245s
21782 4128 0.77682 96 277 0.76229 0.87211 14.4% 12.8 250s
21787 4131 0.80129 79 262 0.76229 0.87211 14.4% 12.8 255s
21794 4136 0.85330 55 272 0.76229 0.87211 14.4% 12.8 260s
21799 4139 0.82969 41 263 0.76229 0.87211 14.4% 12.8 265s
21801 4141 0.83900 25 221 0.76229 0.87211 14.4% 16.9 272s
21803 4142 0.79160 26 170 0.76229 0.87211 14.4% 16.9 277s
21805 4141 0.78563 27 170 0.76229 0.87211 14.4% 16.9 281s
21822 4139 infeasible 32 0.76229 0.87211 14.4% 17.2 285s
21890 4123 infeasible 36 0.76229 0.87204 14.4% 18.1 291s
22036 4111 cutoff 42 0.76229 0.87025 14.2% 18.9 295s
22316 4138 0.82412 40 203 0.76229 0.86564 13.6% 19.9 300s
22771 4147 0.85093 44 208 0.76229 0.85142 11.7% 20.6 305s
23211 4207 cutoff 47 0.76229 0.84817 11.3% 21.3 310s
23668 4196 0.78981 47 159 0.76229 0.84459 10.8% 22.2 315s
24658 4274 0.81897 56 133 0.76229 0.84084 10.3% 23.0 321s
25089 4286 0.81382 55 145 0.76229 0.83789 9.92% 23.6 325s
25745 4267 0.79505 61 101 0.76229 0.83383 9.38% 24.3 331s
26532 4258 0.80285 55 102 0.76229 0.83087 9.00% 24.7 338s
26742 4252 0.76481 53 138 0.76229 0.82975 8.85% 24.9 340s
27322 4264 0.81025 59 126 0.76229 0.82842 8.68% 25.3 345s
28011 4150 0.79883 60 114 0.76229 0.82529 8.26% 26.2 351s
28783 4137 0.82125 52 157 0.76229 0.82293 7.95% 26.6 356s
29507 4050 infeasible 48 0.76229 0.82189 7.82% 26.9 361s
30262 3911 0.80176 63 124 0.76229 0.81945 7.50% 27.5 367s
30591 3826 0.80645 38 221 0.76229 0.81777 7.28% 27.6 370s
31650 3678 0.76349 69 58 0.76229 0.81496 6.91% 27.9 377s
32152 3615 cutoff 58 0.76229 0.81361 6.73% 28.2 380s
33350 3431 0.80976 54 110 0.76229 0.81046 6.32% 28.5 386s
34399 3302 0.79445 57 120 0.76229 0.80816 6.02% 28.9 392s
34967 3437 0.79390 53 104 0.76229 0.80742 5.92% 29.1 395s
35552 3431 infeasible 59 0.76229 0.80525 5.64% 29.2 401s
36466 3501 0.79166 58 134 0.76229 0.80264 5.29% 29.5 406s
36925 3540 infeasible 66 0.76229 0.80183 5.19% 29.7 410s
37819 3615 cutoff 62 0.76229 0.80051 5.01% 29.9 415s
38849 3761 0.76922 69 53 0.76229 0.79817 4.71% 30.2 421s
39709 3814 0.78325 63 85 0.76229 0.79642 4.48% 30.5 426s
40645 3846 0.77669 58 96 0.76229 0.79482 4.27% 30.6 431s
41335 3821 infeasible 59 0.76229 0.79316 4.05% 30.8 436s
42087 3823 0.78898 58 93 0.76229 0.79211 3.91% 31.0 441s
43141 3890 0.79005 68 64 0.76229 0.79021 3.66% 31.0 446s
44039 3912 infeasible 64 0.76229 0.78875 3.47% 31.0 450s
45267 3878 infeasible 64 0.76229 0.78653 3.18% 30.9 455s
46373 3796 0.78301 62 111 0.76229 0.78534 3.02% 30.9 460s
47623 3758 0.78171 59 89 0.76229 0.78309 2.73% 30.8 466s
48374 3705 cutoff 61 0.76229 0.78226 2.62% 30.8 470s
49072 3662 0.77337 71 47 0.76229 0.78133 2.50% 30.8 475s
50115 3562 infeasible 62 0.76229 0.78054 2.39% 30.9 480s
51434 3436 0.77363 65 67 0.76229 0.77910 2.20% 30.8 488s
51863 3308 0.77546 61 73 0.76229 0.77869 2.15% 30.8 490s
53110 3001 0.76715 55 125 0.76229 0.77728 1.97% 30.7 496s
53992 2796 infeasible 68 0.76229 0.77623 1.83% 30.7 500s
55445 2395 infeasible 61 0.76229 0.77439 1.59% 30.6 505s
56795 1943 infeasible 78 0.76229 0.77243 1.33% 30.5 510s
Cutting planes:
Learned: 2
Gomory: 173
Cover: 22
Implied bound: 62
Projected implied bound: 40
Clique: 12
MIR: 341
StrongCG: 6
Flow cover: 765
Flow path: 1
Inf proof: 237
Zero half: 2
Explored 58186 nodes (1764995 simplex iterations) in 514.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.762295 0.762295 0.762019
Optimal solution found (tolerance 1.00e-02)
Best objective 7.622947175969e-01, best bound 7.698967084481e-01, gap 0.9973%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv7k5td8p.pyomo.lp
Reading time = 0.02 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2tp4vo3x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.757698
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.234726e+00, 1356 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23473 0 121 0.75770 1.23473 63.0% - 0s
0 0 1.20828 0 135 0.75770 1.20828 59.5% - 0s
0 0 1.20825 0 132 0.75770 1.20825 59.5% - 0s
0 0 1.19138 0 141 0.75770 1.19138 57.2% - 0s
0 0 1.19133 0 139 0.75770 1.19133 57.2% - 0s
0 0 1.17604 0 159 0.75770 1.17604 55.2% - 0s
0 0 1.17444 0 160 0.75770 1.17444 55.0% - 0s
0 0 1.17199 0 170 0.75770 1.17199 54.7% - 0s
0 0 1.17195 0 171 0.75770 1.17195 54.7% - 0s
0 0 1.17190 0 168 0.75770 1.17190 54.7% - 0s
0 0 1.17186 0 168 0.75770 1.17186 54.7% - 0s
0 0 1.17186 0 165 0.75770 1.17186 54.7% - 0s
0 0 1.17186 0 141 0.75770 1.17186 54.7% - 0s
0 2 1.17186 0 141 0.75770 1.17186 54.7% - 0s
763 553 1.11622 15 154 0.75770 1.11622 47.3% 24.0 5s
H 1554 622 0.7578218 1.10004 45.2% 25.6 8s
2692 939 1.00946 43 140 0.75782 1.07877 42.4% 21.1 10s
H 5191 2094 0.7582443 1.03715 36.8% 16.6 12s
6621 2646 infeasible 40 0.75824 1.02050 34.6% 15.8 15s
9976 2793 infeasible 51 0.75824 0.96649 27.5% 14.8 20s
14565 3154 0.89098 65 94 0.75824 0.90487 19.3% 13.0 25s
H18580 4367 0.7582443 0.89480 18.0% 12.6 29s
18582 4358 0.84540 72 93 0.75824 0.89480 18.0% 12.6 30s
21693 5286 0.85917 108 141 0.75824 0.89241 17.7% 12.4 50s
21708 5296 0.77899 122 228 0.75824 0.89241 17.7% 12.3 55s
21714 5300 0.82829 90 228 0.75824 0.89241 17.7% 12.3 60s
21719 5303 0.84746 100 233 0.75824 0.89241 17.7% 12.3 65s
21727 5309 0.82956 71 242 0.75824 0.89241 17.7% 12.3 70s
21735 5314 0.85971 74 264 0.75824 0.89241 17.7% 12.3 75s
21742 5319 0.88445 72 253 0.75824 0.89241 17.7% 12.3 80s
21751 5325 0.78548 139 259 0.75824 0.89241 17.7% 12.3 85s
21756 5328 0.87387 78 259 0.75824 0.89241 17.7% 12.3 90s
21761 5331 0.88042 104 267 0.75824 0.89241 17.7% 12.3 95s
21765 5334 0.78288 128 273 0.75824 0.89241 17.7% 12.3 100s
21771 5338 0.86982 67 271 0.75824 0.89241 17.7% 12.3 105s
21778 5343 0.85699 67 281 0.75824 0.89241 17.7% 12.3 110s
21786 5348 0.86824 86 280 0.75824 0.89241 17.7% 12.3 115s
21793 5353 0.85917 108 254 0.75824 0.89241 17.7% 12.3 120s
21799 5357 0.87624 33 263 0.75824 0.89241 17.7% 12.3 126s
21803 5359 0.83906 78 258 0.75824 0.89241 17.7% 12.3 131s
21808 5363 0.77899 122 267 0.75824 0.89241 17.7% 12.3 135s
21814 5367 0.82829 90 266 0.75824 0.89241 17.7% 12.3 140s
21821 5371 0.86182 86 272 0.75824 0.89241 17.7% 12.3 146s
21825 5374 0.87378 83 268 0.75824 0.89241 17.7% 12.3 150s
21830 5377 0.82606 100 275 0.75824 0.89241 17.7% 12.3 155s
21833 5379 0.83817 135 273 0.75824 0.89241 17.7% 12.3 160s
21836 5381 0.86763 47 276 0.75824 0.89241 17.7% 12.3 165s
21839 5383 0.80292 38 273 0.75824 0.89241 17.7% 12.3 170s
21844 5387 0.82363 96 284 0.75824 0.89241 17.7% 12.3 175s
21847 5389 0.88597 77 283 0.75824 0.89241 17.7% 12.3 180s
21853 5393 0.79613 79 289 0.75824 0.89241 17.7% 12.3 185s
21859 5397 0.78833 119 279 0.75824 0.89241 17.7% 12.3 191s
21862 5399 0.88976 61 310 0.75824 0.89241 17.7% 12.3 195s
21865 5401 0.78288 128 272 0.75824 0.89241 17.7% 12.3 201s
21869 5403 0.83550 45 276 0.75824 0.89241 17.7% 12.3 205s
21875 5407 0.87164 80 274 0.75824 0.89241 17.7% 12.2 211s
21879 5410 0.87495 29 271 0.75824 0.89241 17.7% 12.2 216s
21883 5413 0.79182 80 280 0.75824 0.89241 17.7% 12.2 221s
21887 5415 0.87790 93 273 0.75824 0.89241 17.7% 12.2 226s
21891 5418 0.88571 77 285 0.75824 0.89241 17.7% 12.2 231s
21895 5421 0.79210 73 278 0.75824 0.89241 17.7% 12.2 235s
21900 5424 0.85558 107 287 0.75824 0.89241 17.7% 12.2 240s
21904 5427 0.78620 147 285 0.75824 0.89241 17.7% 12.2 245s
H21904 5152 0.7582444 0.89241 17.7% 12.2 248s
21907 5154 0.81729 71 284 0.75824 0.89241 17.7% 12.2 250s
21912 5157 0.87161 97 286 0.75824 0.89241 17.7% 12.2 255s
21917 5160 0.84617 105 288 0.75824 0.89241 17.7% 12.2 261s
21921 5164 0.89241 24 262 0.75824 0.89241 17.7% 14.8 269s
21923 5164 0.89241 25 264 0.75824 0.89241 17.7% 14.8 273s
21934 5163 0.89140 29 261 0.75824 0.89241 17.7% 15.0 275s
21980 5149 0.81267 36 207 0.75824 0.89241 17.7% 15.6 280s
22068 5131 infeasible 42 0.75824 0.89241 17.7% 16.2 285s
22350 5100 0.88411 41 218 0.75824 0.89129 17.5% 17.2 290s
22781 5173 0.84856 51 186 0.75824 0.88280 16.4% 18.3 297s
22786 5174 0.78265 52 165 0.75824 0.88261 16.4% 18.4 300s
23221 5204 infeasible 60 0.75824 0.87551 15.5% 19.5 305s
23682 5279 0.79852 63 134 0.75824 0.86940 14.7% 20.3 310s
24223 5332 infeasible 57 0.75824 0.86830 14.5% 21.4 315s
24747 5349 0.79679 56 143 0.75824 0.86689 14.3% 22.2 320s
25462 5392 infeasible 52 0.75824 0.86288 13.8% 23.1 326s
26034 5420 infeasible 58 0.75824 0.86016 13.4% 24.0 331s
26503 5402 0.84082 53 154 0.75824 0.85733 13.1% 24.7 335s
27018 5430 0.83176 57 153 0.75824 0.85447 12.7% 25.2 343s
27059 5414 0.82243 58 139 0.75824 0.85378 12.6% 25.3 345s
27522 5427 infeasible 59 0.75824 0.85181 12.3% 25.8 350s
28153 5406 infeasible 46 0.75824 0.84894 12.0% 26.3 356s
28904 5388 0.81666 48 154 0.75824 0.84445 11.4% 27.0 361s
29636 5356 0.82504 54 127 0.75824 0.84222 11.1% 27.5 367s
30085 5359 0.80894 56 134 0.75824 0.84060 10.9% 27.8 371s
31027 5324 0.77787 65 95 0.75824 0.83763 10.5% 28.5 377s
31535 5287 infeasible 53 0.75824 0.83576 10.2% 28.7 381s
32485 5233 0.76545 70 117 0.75824 0.83217 9.75% 29.2 387s
32845 5159 infeasible 61 0.75824 0.83132 9.64% 29.6 391s
33836 5018 0.82065 56 136 0.75824 0.82801 9.20% 30.2 397s
34507 4913 0.81654 55 136 0.75824 0.82663 9.02% 30.3 401s
35017 4908 0.82088 57 135 0.75824 0.82465 8.76% 30.5 406s
35079 4840 infeasible 63 0.75824 0.82443 8.73% 30.5 410s
36145 4683 0.78950 66 115 0.75824 0.82195 8.40% 30.9 417s
36553 4592 0.78936 62 79 0.75824 0.82031 8.19% 31.1 420s
37444 4352 0.78328 56 134 0.75824 0.81808 7.89% 31.6 425s
38369 4448 infeasible 51 0.75824 0.81480 7.46% 31.9 433s
38903 4521 0.76017 63 93 0.75824 0.81373 7.32% 32.0 435s
40078 4766 infeasible 51 0.75824 0.81116 6.98% 32.1 441s
41014 4867 infeasible 66 0.75824 0.80902 6.70% 32.3 447s
41958 4959 0.77816 59 126 0.75824 0.80726 6.46% 32.6 452s
42485 5022 0.78644 66 122 0.75824 0.80576 6.27% 32.6 455s
43278 5051 infeasible 57 0.75824 0.80407 6.04% 32.9 460s
44059 5082 0.76933 60 129 0.75824 0.80218 5.79% 33.0 466s
45148 5258 cutoff 58 0.75824 0.80003 5.51% 33.1 472s
46184 5389 0.77157 53 146 0.75824 0.79920 5.40% 33.1 476s
47166 5484 cutoff 64 0.75824 0.79666 5.07% 33.2 481s
48066 5563 0.78131 65 75 0.75824 0.79482 4.82% 33.2 485s
48820 5566 infeasible 56 0.75824 0.79328 4.62% 33.2 490s
50097 5537 0.78768 56 119 0.75824 0.79077 4.29% 33.2 496s
50702 5479 0.78795 64 111 0.75824 0.78974 4.15% 33.4 500s
51894 5517 infeasible 63 0.75824 0.78724 3.82% 33.4 506s
52849 5582 infeasible 81 0.75824 0.78564 3.61% 33.3 510s
54033 5600 infeasible 60 0.75824 0.78396 3.39% 33.3 515s
55278 5599 0.77881 63 124 0.75824 0.78199 3.13% 33.2 520s
56255 5523 cutoff 60 0.75824 0.78024 2.90% 33.1 525s
57192 5395 cutoff 70 0.75824 0.77869 2.70% 33.1 530s
58282 5228 infeasible 75 0.75824 0.77650 2.41% 33.1 536s
59369 5091 infeasible 64 0.75824 0.77473 2.17% 33.0 541s
60244 4938 cutoff 73 0.75824 0.77346 2.01% 33.1 545s
60996 4798 infeasible 71 0.75824 0.77232 1.86% 33.0 550s
61989 4490 infeasible 71 0.75824 0.77059 1.63% 33.1 556s
62565 4438 cutoff 75 0.75824 0.76976 1.52% 33.0 560s
63505 4250 infeasible 70 0.75824 0.76835 1.33% 33.0 565s
64150 4085 infeasible 70 0.75824 0.76737 1.20% 33.0 570s
65048 3868 infeasible 53 0.75824 0.76613 1.04% 32.9 575s
Cutting planes:
Learned: 3
Gomory: 211
Cover: 24
Implied bound: 43
Projected implied bound: 74
Clique: 10
MIR: 292
StrongCG: 1
Flow cover: 875
Flow path: 5
GUB cover: 1
Inf proof: 233
Zero half: 1
Network: 1
Explored 65518 nodes (2155294 simplex iterations) in 576.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.758244 0.758244 0.758244 ... 0.757698
Optimal solution found (tolerance 1.00e-02)
Best objective 7.582443467894e-01, best bound 7.655466611886e-01, gap 0.9631%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6jjcfp_g.pyomo.lp
Reading time = 0.02 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg5buc8bq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.745857
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.213955e+00, 1265 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21395 0 118 0.74586 1.21395 62.8% - 0s
0 0 1.19762 0 131 0.74586 1.19762 60.6% - 0s
0 0 1.19758 0 133 0.74586 1.19758 60.6% - 0s
0 0 1.16156 0 151 0.74586 1.16156 55.7% - 0s
0 0 1.16092 0 150 0.74586 1.16092 55.6% - 0s
0 0 1.15942 0 154 0.74586 1.15942 55.4% - 0s
0 0 1.15940 0 154 0.74586 1.15940 55.4% - 0s
0 0 1.15939 0 156 0.74586 1.15939 55.4% - 0s
0 0 1.15939 0 155 0.74586 1.15939 55.4% - 0s
0 0 1.15906 0 153 0.74586 1.15906 55.4% - 0s
0 0 1.15900 0 155 0.74586 1.15900 55.4% - 0s
0 0 1.15894 0 155 0.74586 1.15894 55.4% - 0s
0 0 1.15894 0 155 0.74586 1.15894 55.4% - 0s
0 0 1.15862 0 155 0.74586 1.15862 55.3% - 0s
0 0 1.15862 0 155 0.74586 1.15862 55.3% - 0s
0 0 1.15855 0 155 0.74586 1.15855 55.3% - 0s
0 0 1.15855 0 140 0.74586 1.15855 55.3% - 0s
0 2 1.15855 0 134 0.74586 1.15855 55.3% - 0s
802 530 1.06259 17 141 0.74586 1.09096 46.3% 21.7 5s
3576 1520 0.82884 91 126 0.74586 1.04655 40.3% 16.0 10s
8817 3230 infeasible 50 0.74586 0.96290 29.1% 13.3 15s
12920 4149 cutoff 64 0.74586 0.92537 24.1% 12.1 20s
18534 5213 0.81173 115 71 0.74586 0.88953 19.3% 11.0 25s
H21053 6015 0.7458573 0.88246 18.3% 10.8 43s
21060 6020 0.83990 74 232 0.74586 0.88246 18.3% 10.8 45s
21067 6025 0.83907 84 237 0.74586 0.88246 18.3% 10.8 50s
21074 6029 0.83158 103 254 0.74586 0.88246 18.3% 10.8 56s
21079 6033 0.84944 94 236 0.74586 0.88246 18.3% 10.8 61s
21083 6035 0.80599 111 246 0.74586 0.88246 18.3% 10.8 65s
21087 6038 0.80222 96 265 0.74586 0.88246 18.3% 10.8 70s
21094 6043 0.79882 61 251 0.74586 0.88246 18.3% 10.7 75s
21101 6047 0.81376 98 246 0.74586 0.88246 18.3% 10.7 80s
21106 6051 0.80777 95 255 0.74586 0.88246 18.3% 10.7 85s
21112 6055 0.77423 96 263 0.74586 0.88246 18.3% 10.7 90s
21118 6059 0.77083 119 260 0.74586 0.88246 18.3% 10.7 95s
21124 6063 0.80972 71 270 0.74586 0.88246 18.3% 10.7 100s
21129 6066 0.77868 79 284 0.74586 0.88246 18.3% 10.7 105s
21134 6069 0.79780 48 271 0.74586 0.88246 18.3% 10.7 111s
21140 6073 0.87642 81 264 0.74586 0.88246 18.3% 10.7 115s
21144 6076 0.86375 41 277 0.74586 0.88246 18.3% 10.7 120s
21148 6079 0.82148 78 272 0.74586 0.88246 18.3% 10.7 125s
21153 6082 0.87839 70 275 0.74586 0.88246 18.3% 10.7 131s
21157 6085 0.84975 63 283 0.74586 0.88246 18.3% 10.7 135s
21161 6087 0.80673 55 283 0.74586 0.88246 18.3% 10.7 140s
21166 6091 0.74622 118 287 0.74586 0.88246 18.3% 10.7 145s
21171 6094 0.80302 109 291 0.74586 0.88246 18.3% 10.7 151s
21174 6096 0.83158 103 288 0.74586 0.88246 18.3% 10.7 155s
21179 6099 0.84944 94 297 0.74586 0.88246 18.3% 10.7 162s
21181 6101 0.82000 90 295 0.74586 0.88246 18.3% 10.7 166s
21185 6103 0.79319 91 290 0.74586 0.88246 18.3% 10.7 170s
21189 6106 0.88172 73 300 0.74586 0.88246 18.3% 10.7 175s
21194 6109 0.79882 61 297 0.74586 0.88246 18.3% 10.7 180s
21200 6113 0.81224 67 299 0.74586 0.88246 18.3% 10.7 185s
21205 6117 0.83764 66 299 0.74586 0.88246 18.3% 10.7 190s
21210 6120 0.84520 84 302 0.74586 0.88246 18.3% 10.7 196s
21214 6123 0.84836 79 300 0.74586 0.88246 18.3% 10.7 200s
21220 6127 0.82417 120 306 0.74586 0.88246 18.3% 10.7 205s
21226 6131 0.84765 94 300 0.74586 0.88246 18.3% 10.7 210s
21231 6134 0.74739 118 295 0.74586 0.88246 18.3% 10.7 215s
21236 6137 0.76831 65 303 0.74586 0.88246 18.3% 10.7 220s
21242 6141 0.75500 159 301 0.74586 0.88246 18.3% 10.7 225s
21247 6145 0.79311 99 298 0.74586 0.88246 18.3% 10.7 230s
21252 6148 0.88112 72 300 0.74586 0.88246 18.3% 10.7 235s
21258 6152 0.81642 59 299 0.74586 0.88246 18.3% 10.7 240s
21264 6156 0.85684 79 299 0.74586 0.88246 18.3% 10.7 247s
21267 6158 0.83907 84 300 0.74586 0.88246 18.3% 10.7 250s
21272 6162 0.88246 26 278 0.74586 0.88246 18.3% 12.7 261s
21274 6164 0.88246 27 283 0.74586 0.88246 18.3% 12.8 266s
21308 6160 0.88246 29 254 0.74586 0.88246 18.3% 13.1 270s
21378 6161 0.88246 39 245 0.74586 0.88246 18.3% 13.8 275s
21612 6207 0.83926 38 224 0.74586 0.88246 18.3% 14.7 280s
21830 6248 0.81892 40 213 0.74586 0.88246 18.3% 15.6 285s
22188 6329 0.81435 46 178 0.74586 0.88246 18.3% 16.6 290s
22440 6393 0.87580 45 220 0.74586 0.88246 18.3% 17.1 295s
22752 6408 0.80476 45 192 0.74586 0.88246 18.3% 18.3 300s
23113 6451 0.85630 41 232 0.74586 0.88246 18.3% 19.3 306s
23291 6493 0.76343 51 196 0.74586 0.88246 18.3% 19.6 310s
23730 6563 0.84854 58 137 0.74586 0.87758 17.7% 20.7 319s
23893 6565 0.86226 50 182 0.74586 0.87619 17.5% 21.1 321s
24533 6645 0.85563 50 159 0.74586 0.86987 16.6% 21.7 326s
24847 6638 0.85580 54 174 0.74586 0.86824 16.4% 22.3 330s
25379 6649 0.84689 52 123 0.74586 0.86588 16.1% 23.2 336s
25931 6684 0.77734 49 184 0.74586 0.86168 15.5% 23.8 340s
26384 6613 0.79339 50 147 0.74586 0.85896 15.2% 24.5 345s
27041 6594 infeasible 57 0.74586 0.85576 14.7% 25.6 352s
27271 6547 infeasible 72 0.74586 0.85452 14.6% 26.0 355s
27925 6495 0.81030 51 148 0.74586 0.85140 14.2% 26.7 361s
28352 6500 infeasible 60 0.74586 0.84990 13.9% 27.1 365s
29187 6433 0.75723 89 58 0.74586 0.84642 13.5% 27.9 373s
29647 6408 0.80027 52 80 0.74586 0.84343 13.1% 28.4 377s
30320 6390 0.81855 62 156 0.74586 0.84224 12.9% 28.5 380s
31382 6299 0.80317 55 115 0.74586 0.84054 12.7% 29.1 388s
31960 6217 0.75623 71 112 0.74586 0.83751 12.3% 29.2 391s
32499 6098 0.83552 57 143 0.74586 0.83552 12.0% 29.5 395s
33577 5965 0.81529 53 109 0.74586 0.83192 11.5% 29.8 402s
34320 5977 infeasible 61 0.74586 0.83018 11.3% 29.9 406s
35159 5830 infeasible 55 0.74586 0.82752 10.9% 30.0 412s
35700 5736 0.79686 56 97 0.74586 0.82600 10.7% 30.0 415s
36625 5536 0.81919 59 98 0.74586 0.82213 10.2% 30.3 421s
37760 5379 0.82008 58 111 0.74586 0.82008 10.0% 30.4 426s
38664 5175 infeasible 58 0.74586 0.81628 9.44% 30.5 431s
39627 5008 infeasible 42 0.74586 0.81342 9.06% 30.6 437s
40125 5038 0.81061 58 154 0.74586 0.81265 8.95% 30.6 440s
41251 5211 0.77298 60 84 0.74586 0.81029 8.64% 30.6 445s
42343 5344 infeasible 60 0.74586 0.80800 8.33% 30.5 450s
43800 5544 0.79568 71 93 0.74586 0.80442 7.85% 30.4 456s
44673 5645 infeasible 60 0.74586 0.80296 7.66% 30.4 461s
45504 5788 0.75379 54 162 0.74586 0.80136 7.44% 30.4 465s
46534 5846 infeasible 79 0.74586 0.79901 7.13% 30.5 472s
47044 5941 infeasible 82 0.74586 0.79792 6.98% 30.5 475s
47901 6001 infeasible 63 0.74586 0.79677 6.83% 30.4 480s
49332 6079 infeasible 65 0.74586 0.79360 6.40% 30.2 485s
50731 6110 0.79153 65 65 0.74586 0.79153 6.12% 30.1 491s
51640 6227 cutoff 53 0.74586 0.79006 5.93% 30.0 495s
52776 6227 infeasible 63 0.74586 0.78751 5.58% 30.0 501s
54286 6316 0.78218 74 71 0.74586 0.78495 5.24% 29.8 506s
55097 6322 0.75065 79 82 0.74586 0.78346 5.04% 29.7 510s
56399 6399 infeasible 66 0.74586 0.78178 4.82% 29.6 515s
*56833 6355 106 0.7462459 0.78105 4.66% 29.5 517s
57545 6355 infeasible 59 0.74625 0.78002 4.53% 29.5 521s
H57604 6369 0.7462459 0.77999 4.52% 29.5 521s
58499 6379 0.75987 60 82 0.74625 0.77879 4.36% 29.4 526s
59404 6372 infeasible 74 0.74625 0.77785 4.24% 29.3 530s
61050 6371 0.76146 87 67 0.74625 0.77560 3.93% 29.2 536s
62171 6297 infeasible 62 0.74625 0.77417 3.74% 29.0 540s
63303 6197 infeasible 72 0.74625 0.77276 3.55% 28.9 545s
64751 6061 infeasible 72 0.74625 0.77100 3.32% 28.8 550s
65952 5856 0.76838 67 60 0.74625 0.76903 3.05% 28.6 555s
67203 5705 infeasible 77 0.74625 0.76737 2.83% 28.5 560s
68473 5599 cutoff 66 0.74625 0.76571 2.61% 28.4 565s
69722 5472 cutoff 78 0.74625 0.76416 2.40% 28.2 570s
71178 5439 infeasible 74 0.74625 0.76289 2.23% 28.0 575s
72740 5451 infeasible 69 0.74625 0.76146 2.04% 27.8 581s
73917 5438 infeasible 72 0.74625 0.76055 1.92% 27.6 585s
75501 5280 infeasible 74 0.74625 0.75923 1.74% 27.4 590s
76864 5168 infeasible 75 0.74625 0.75825 1.61% 27.2 595s
78254 5014 infeasible 74 0.74625 0.75729 1.48% 27.1 600s
Cutting planes:
Learned: 5
Gomory: 214
Cover: 12
Implied bound: 48
Projected implied bound: 67
Clique: 14
MIR: 240
StrongCG: 1
Flow cover: 803
Flow path: 4
Inf proof: 25
Network: 1
Explored 78395 nodes (2121667 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.746246 0.746246 0.745857 0.745857
Time limit reached
Best objective 7.462458882971e-01, best bound 7.572345935079e-01, gap 1.4725%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmperlyyfex.pyomo.lp
Reading time = 0.02 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj7c59xgg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.741159
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.205442e+00, 1353 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20544 0 125 0.74116 1.20544 62.6% - 0s
0 0 1.18638 0 148 0.74116 1.18638 60.1% - 0s
0 0 1.18507 0 139 0.74116 1.18507 59.9% - 0s
0 0 1.16426 0 152 0.74116 1.16426 57.1% - 0s
0 0 1.16392 0 154 0.74116 1.16392 57.0% - 0s
0 0 1.15246 0 156 0.74116 1.15246 55.5% - 0s
0 0 1.15226 0 165 0.74116 1.15226 55.5% - 0s
0 0 1.15091 0 167 0.74116 1.15091 55.3% - 0s
0 0 1.15068 0 164 0.74116 1.15068 55.3% - 0s
0 0 1.15065 0 173 0.74116 1.15065 55.3% - 0s
0 0 1.15032 0 168 0.74116 1.15032 55.2% - 0s
0 0 1.15031 0 172 0.74116 1.15031 55.2% - 0s
0 0 1.15029 0 169 0.74116 1.15029 55.2% - 0s
0 0 1.15028 0 169 0.74116 1.15028 55.2% - 0s
0 0 1.15028 0 172 0.74116 1.15028 55.2% - 0s
0 0 1.15028 0 145 0.74116 1.15028 55.2% - 0s
0 2 1.15028 0 141 0.74116 1.15028 55.2% - 0s
747 544 1.09745 16 147 0.74116 1.09745 48.1% 27.6 5s
1902 788 0.98199 36 142 0.74116 1.03620 39.8% 21.0 10s
6250 2240 0.89926 65 104 0.74116 0.98200 32.5% 15.5 15s
10560 2610 0.80278 56 128 0.74116 0.91745 23.8% 13.6 20s
15107 3935 0.74637 78 84 0.74116 0.88937 20.0% 12.7 25s
19827 5184 0.83334 74 67 0.74116 0.87726 18.4% 12.9 30s
20933 5499 0.84837 79 145 0.74116 0.87563 18.1% 13.0 46s
20945 5507 0.86320 76 250 0.74116 0.87563 18.1% 13.0 50s
20952 5512 0.78850 107 250 0.74116 0.87563 18.1% 13.0 55s
20960 5517 0.76017 159 259 0.74116 0.87563 18.1% 13.0 60s
20967 5522 0.86905 77 265 0.74116 0.87563 18.1% 13.0 65s
20972 5525 0.74941 137 261 0.74116 0.87563 18.1% 13.0 70s
20977 5528 0.79828 109 270 0.74116 0.87563 18.1% 12.9 75s
20982 5532 0.79960 66 271 0.74116 0.87563 18.1% 12.9 81s
20987 5535 0.76154 59 266 0.74116 0.87563 18.1% 12.9 85s
20991 5538 0.86910 77 265 0.74116 0.87563 18.1% 12.9 90s
20997 5542 0.86910 77 286 0.74116 0.87563 18.1% 12.9 96s
21002 5545 0.82140 70 281 0.74116 0.87563 18.1% 12.9 101s
21006 5548 0.82900 95 284 0.74116 0.87563 18.1% 12.9 105s
21010 5550 0.80291 100 279 0.74116 0.87563 18.1% 12.9 110s
21016 5554 0.80950 97 271 0.74116 0.87563 18.1% 12.9 116s
21019 5556 0.85365 74 273 0.74116 0.87563 18.1% 12.9 120s
21023 5559 0.81768 99 279 0.74116 0.87563 18.1% 12.9 125s
21027 5562 0.86201 84 280 0.74116 0.87563 18.1% 12.9 130s
21032 5565 0.85891 92 291 0.74116 0.87563 18.1% 12.9 135s
21038 5569 0.82665 73 283 0.74116 0.87563 18.1% 12.9 140s
21043 5572 0.80970 74 289 0.74116 0.87563 18.1% 12.9 145s
21048 5576 0.78441 88 293 0.74116 0.87563 18.1% 12.9 150s
21052 5578 0.78850 107 286 0.74116 0.87563 18.1% 12.9 156s
21057 5582 0.80951 74 292 0.74116 0.87563 18.1% 12.9 160s
21062 5585 0.81773 99 296 0.74116 0.87563 18.1% 12.9 165s
21068 5589 0.76821 69 290 0.74116 0.87563 18.1% 12.9 170s
H21073 5310 0.7413653 0.87563 18.1% 12.9 177s
21076 5312 0.80773 84 299 0.74137 0.87563 18.1% 12.9 182s
21080 5315 0.86625 69 303 0.74137 0.87563 18.1% 12.9 185s
21086 5319 0.86967 94 293 0.74137 0.87563 18.1% 12.9 190s
21092 5323 0.75308 148 308 0.74137 0.87563 18.1% 12.9 195s
21097 5326 0.86910 77 308 0.74137 0.87563 18.1% 12.9 200s
21103 5330 0.85141 89 312 0.74137 0.87563 18.1% 12.9 205s
21108 5334 0.74268 70 286 0.74137 0.87563 18.1% 12.9 210s
21114 5338 0.75348 96 285 0.74137 0.87563 18.1% 12.9 215s
21120 5342 0.77386 96 289 0.74137 0.87563 18.1% 12.9 220s
21125 5345 0.78517 119 280 0.74137 0.87563 18.1% 12.9 225s
21131 5349 0.87033 70 280 0.74137 0.87563 18.1% 12.9 230s
21134 5351 0.79750 80 327 0.74137 0.87563 18.1% 12.9 236s
21138 5354 0.82665 73 286 0.74137 0.87563 18.1% 12.9 240s
21143 5357 0.80970 74 275 0.74137 0.87563 18.1% 12.8 246s
21150 5362 0.85510 80 282 0.74137 0.87563 18.1% 12.8 250s
21156 5366 0.86607 82 280 0.74137 0.87563 18.1% 12.8 255s
21162 5370 0.81773 99 288 0.74137 0.87563 18.1% 12.8 260s
21165 5372 0.77128 77 283 0.74137 0.87563 18.1% 12.8 265s
21171 5376 0.76908 105 290 0.74137 0.87563 18.1% 12.8 271s
21173 5378 0.82862 27 258 0.74137 0.87563 18.1% 16.0 281s
21175 5377 0.76891 28 254 0.74137 0.87563 18.1% 16.0 297s
21193 5377 0.79278 34 251 0.74137 0.87563 18.1% 16.2 300s
21329 5360 0.87112 43 229 0.74137 0.87563 18.1% 17.3 305s
21491 5351 infeasible 47 0.74137 0.87563 18.1% 18.6 310s
21817 5373 infeasible 53 0.74137 0.87563 18.1% 19.9 315s
22421 5415 0.82891 60 186 0.74137 0.87254 17.7% 21.1 320s
22842 5460 0.84254 51 202 0.74137 0.87152 17.6% 22.0 325s
23337 5565 0.85425 63 201 0.74137 0.87035 17.4% 22.8 330s
23812 5650 infeasible 92 0.74137 0.86931 17.3% 23.6 337s
24151 5690 0.85384 64 175 0.74137 0.86887 17.2% 24.2 340s
24608 5726 0.78503 58 167 0.74137 0.86700 16.9% 25.1 345s
25069 5770 0.85430 61 189 0.74137 0.86549 16.7% 26.0 350s
25613 5838 0.81070 55 165 0.74137 0.86441 16.6% 26.9 356s
26164 5914 0.85739 54 179 0.74137 0.86276 16.4% 27.3 360s
26513 5944 infeasible 59 0.74137 0.86132 16.2% 27.8 365s
26981 6018 0.85140 61 161 0.74137 0.85985 16.0% 28.8 371s
27560 6103 0.85312 55 166 0.74137 0.85886 15.8% 29.4 377s
27807 6095 0.81539 70 118 0.74137 0.85886 15.8% 29.9 380s
28450 6127 0.75025 90 84 0.74137 0.85769 15.7% 30.6 391s
28830 6154 0.81406 63 193 0.74137 0.85747 15.7% 31.2 395s
29390 6160 0.78249 86 101 0.74137 0.85647 15.5% 32.3 405s
29901 6118 0.84357 57 177 0.74137 0.85556 15.4% 32.9 412s
30136 6127 0.84679 56 162 0.74137 0.85540 15.4% 33.0 417s
30546 6149 0.80302 72 143 0.74137 0.85473 15.3% 33.6 421s
31108 6139 0.82079 69 140 0.74137 0.85408 15.2% 34.0 426s
31632 6159 infeasible 58 0.74137 0.85330 15.1% 34.4 431s
32086 6209 infeasible 57 0.74137 0.85195 14.9% 34.8 435s
33020 6241 0.82533 63 151 0.74137 0.84976 14.6% 35.5 445s
34134 6374 0.82749 60 149 0.74137 0.84680 14.2% 36.1 453s
H34141 6098 0.7413653 0.84680 14.2% 36.1 453s
H34189 5846 0.7413654 0.84678 14.2% 36.1 453s
34190 5811 0.80775 71 129 0.74137 0.84668 14.2% 36.2 458s
34695 5811 0.80374 68 127 0.74137 0.84610 14.1% 36.5 461s
35063 5752 infeasible 70 0.74137 0.84518 14.0% 36.9 465s
35375 5692 0.83374 63 148 0.74137 0.84401 13.8% 37.4 470s
36406 5905 0.80597 69 115 0.74137 0.84212 13.6% 37.9 479s
36935 6091 0.83057 68 177 0.74137 0.84148 13.5% 38.2 483s
37347 6213 0.81453 62 154 0.74137 0.84063 13.4% 38.6 488s
37755 6286 0.79552 65 171 0.74137 0.83987 13.3% 38.9 492s
38268 6461 cutoff 77 0.74137 0.83894 13.2% 39.1 496s
38702 6620 0.74888 79 61 0.74137 0.83854 13.1% 39.4 500s
39147 6721 infeasible 75 0.74137 0.83783 13.0% 39.4 505s
39504 6809 cutoff 68 0.74137 0.83736 12.9% 39.7 510s
40262 6978 infeasible 63 0.74137 0.83578 12.7% 40.4 518s
40675 7126 infeasible 60 0.74137 0.83496 12.6% 40.7 526s
40694 7066 0.81669 65 142 0.74137 0.83489 12.6% 40.7 531s
41118 7170 0.75069 68 120 0.74137 0.83426 12.5% 41.0 536s
41654 7291 0.82189 65 153 0.74137 0.83316 12.4% 41.3 541s
42031 7368 infeasible 71 0.74137 0.83280 12.3% 41.5 545s
42524 7514 0.81919 56 218 0.74137 0.83176 12.2% 41.7 550s
43459 7776 0.79498 74 104 0.74137 0.83037 12.0% 42.0 558s
43876 7836 0.74721 86 62 0.74137 0.82994 11.9% 42.1 563s
44418 7978 0.78468 67 138 0.74137 0.82906 11.8% 42.2 567s
44753 8029 0.82271 62 163 0.74137 0.82815 11.7% 42.5 572s
45216 8142 0.80857 70 114 0.74137 0.82757 11.6% 42.6 576s
45782 8297 0.79718 72 127 0.74137 0.82673 11.5% 42.7 580s
46864 8537 0.81924 65 137 0.74137 0.82564 11.4% 42.9 588s
47282 8612 cutoff 52 0.74137 0.82509 11.3% 43.1 592s
47674 8685 0.79477 68 134 0.74137 0.82447 11.2% 43.3 596s
48104 8787 0.81331 75 122 0.74137 0.82380 11.1% 43.5 600s
Cutting planes:
Learned: 5
Gomory: 234
Cover: 22
Implied bound: 36
Projected implied bound: 72
Clique: 9
MIR: 312
StrongCG: 11
Flow cover: 857
Flow path: 4
Inf proof: 189
Zero half: 4
Explored 48494 nodes (2117516 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.741365 0.741365 0.741365 0.741159
Time limit reached
Best objective 7.413653542845e-01, best bound 8.232300486303e-01, gap 11.0424%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2rlcsaed.pyomo.lp
Reading time = 0.02 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx4bz9jjj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.736411
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.196761e+00, 1598 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19676 0 126 0.73641 1.19676 62.5% - 0s
0 0 1.17814 0 148 0.73641 1.17814 60.0% - 0s
0 0 1.17691 0 140 0.73641 1.17691 59.8% - 0s
0 0 1.14937 0 157 0.73641 1.14937 56.1% - 0s
0 0 1.14647 0 159 0.73641 1.14647 55.7% - 0s
0 0 1.14467 0 171 0.73641 1.14467 55.4% - 0s
0 0 1.14423 0 167 0.73641 1.14423 55.4% - 0s
0 0 1.14252 0 175 0.73641 1.14252 55.1% - 0s
0 0 1.14247 0 163 0.73641 1.14247 55.1% - 0s
0 0 1.14216 0 177 0.73641 1.14216 55.1% - 0s
0 0 1.14216 0 179 0.73641 1.14216 55.1% - 0s
0 0 1.14208 0 172 0.73641 1.14208 55.1% - 0s
0 0 1.14192 0 166 0.73641 1.14192 55.1% - 0s
0 0 1.14186 0 182 0.73641 1.14186 55.1% - 0s
0 0 1.14186 0 177 0.73641 1.14186 55.1% - 0s
0 0 1.14186 0 177 0.73641 1.14186 55.1% - 0s
0 0 1.14186 0 147 0.73641 1.14186 55.1% - 0s
0 2 1.14186 0 147 0.73641 1.14186 55.1% - 1s
768 546 0.98292 64 168 0.73641 1.08872 47.8% 18.8 5s
2462 1020 1.00906 26 164 0.73641 1.02831 39.6% 19.4 10s
4251 1660 0.93365 30 177 0.73641 0.99492 35.1% 20.0 15s
8504 3315 0.87262 54 136 0.73641 0.93288 26.7% 16.6 20s
12268 4155 infeasible 51 0.73641 0.90239 22.5% 14.9 25s
H13127 4440 0.7371090 0.89818 21.9% 14.6 26s
16061 5068 infeasible 36 0.73711 0.87800 19.1% 13.6 30s
20978 6385 0.85765 56 147 0.73711 0.86419 17.2% 12.9 51s
20989 6392 0.86325 47 207 0.73711 0.86419 17.2% 12.9 55s
20996 6397 0.82083 55 213 0.73711 0.86419 17.2% 12.9 60s
21002 6401 0.83615 80 218 0.73711 0.86419 17.2% 12.9 65s
21010 6406 0.85339 64 242 0.73711 0.86419 17.2% 12.9 70s
21015 6410 0.85442 79 229 0.73711 0.86419 17.2% 12.9 75s
21020 6413 0.84354 32 246 0.73711 0.86419 17.2% 12.9 80s
21026 6417 0.82834 33 233 0.73711 0.86419 17.2% 12.9 86s
21030 6420 0.78058 51 251 0.73711 0.86419 17.2% 12.9 90s
21037 6424 0.77471 80 264 0.73711 0.86419 17.2% 12.9 95s
21044 6429 0.85182 72 264 0.73711 0.86419 17.2% 12.9 100s
21050 6433 0.84931 70 272 0.73711 0.86419 17.2% 12.9 105s
21056 6437 0.74138 122 265 0.73711 0.86419 17.2% 12.9 110s
21060 6440 0.78503 71 254 0.73711 0.86419 17.2% 12.9 115s
21066 6444 0.82141 79 264 0.73711 0.86419 17.2% 12.9 120s
21072 6448 0.85171 70 263 0.73711 0.86419 17.2% 12.9 125s
21078 6452 0.85765 56 273 0.73711 0.86419 17.2% 12.8 130s
21083 6455 0.85622 82 257 0.73711 0.86419 17.2% 12.8 135s
21089 6459 0.86325 47 273 0.73711 0.86419 17.2% 12.8 140s
21095 6463 0.78671 68 276 0.73711 0.86419 17.2% 12.8 145s
21101 6467 0.74572 115 278 0.73711 0.86419 17.2% 12.8 150s
21106 6470 0.74992 85 283 0.73711 0.86419 17.2% 12.8 155s
21111 6474 0.77818 52 280 0.73711 0.86419 17.2% 12.8 161s
21115 6476 0.85442 79 279 0.73711 0.86419 17.2% 12.8 165s
21119 6479 0.79099 45 279 0.73711 0.86419 17.2% 12.8 171s
21124 6482 0.84449 76 279 0.73711 0.86419 17.2% 12.8 175s
21131 6487 0.85347 78 281 0.73711 0.86419 17.2% 12.8 180s
21137 6491 0.77471 80 273 0.73711 0.86419 17.2% 12.8 185s
21142 6494 0.74502 133 286 0.73711 0.86419 17.2% 12.8 190s
21147 6498 0.82614 75 279 0.73711 0.86419 17.2% 12.8 195s
21153 6502 0.86391 71 285 0.73711 0.86419 17.2% 12.8 200s
21158 6505 0.85464 86 283 0.73711 0.86419 17.2% 12.8 205s
21163 6508 0.83001 60 277 0.73711 0.86419 17.2% 12.8 211s
21167 6511 0.80333 70 274 0.73711 0.86419 17.2% 12.8 215s
21172 6514 0.85171 70 286 0.73711 0.86419 17.2% 12.8 220s
21177 6518 0.77882 59 281 0.73711 0.86419 17.2% 12.8 225s
21183 6522 0.85622 82 283 0.73711 0.86419 17.2% 12.8 230s
21188 6525 0.75155 44 284 0.73711 0.86419 17.2% 12.8 235s
21193 6528 0.76790 35 281 0.73711 0.86419 17.2% 12.8 240s
21199 6532 0.75678 176 298 0.73711 0.86419 17.2% 12.8 245s
H21201 6203 0.7374046 0.86419 17.2% 12.8 250s
21203 6205 0.81441 22 222 0.73740 0.86419 17.2% 15.3 258s
21205 6204 cutoff 23 0.73740 0.86419 17.2% 15.3 272s
21207 6204 0.86419 24 280 0.73740 0.86419 17.2% 15.3 276s
21230 6208 0.86328 31 289 0.73740 0.86419 17.2% 15.7 281s
21329 6214 0.84017 54 209 0.73740 0.86419 17.2% 16.3 285s
21575 6276 cutoff 157 0.73740 0.86419 17.2% 17.3 290s
21869 6238 0.80214 44 186 0.73740 0.85424 15.8% 18.6 295s
22302 6238 infeasible 55 0.73740 0.84451 14.5% 19.9 300s
22655 6229 0.83159 55 201 0.73740 0.83694 13.5% 21.1 305s
23374 6293 0.80369 62 161 0.73740 0.83229 12.9% 22.0 310s
24046 6351 0.79968 56 161 0.73740 0.83017 12.6% 22.7 315s
24846 6391 infeasible 80 0.73740 0.82831 12.3% 23.5 321s
25373 6292 cutoff 84 0.73740 0.82463 11.8% 24.5 326s
25796 6312 0.76627 72 121 0.73740 0.82222 11.5% 25.0 331s
25870 6304 0.81218 50 193 0.73740 0.82213 11.5% 25.1 335s
26226 6295 cutoff 58 0.73740 0.82034 11.2% 25.9 347s
H26277 5963 0.7374482 0.82034 11.2% 25.9 347s
H26329 5665 0.7377270 0.82022 11.2% 25.9 347s
26850 5714 0.79074 67 167 0.73773 0.81910 11.0% 26.1 351s
27526 5718 0.81632 64 169 0.73773 0.81632 10.7% 26.5 356s
28263 5692 infeasible 67 0.73773 0.81362 10.3% 26.9 361s
29007 5654 infeasible 72 0.73773 0.81161 10.0% 27.5 367s
29504 5645 infeasible 68 0.73773 0.81057 9.87% 27.7 370s
30341 5597 0.75121 50 189 0.73773 0.80844 9.58% 28.4 377s
30742 5562 0.80738 67 148 0.73773 0.80738 9.44% 28.7 380s
31756 5440 cutoff 31 0.73773 0.80534 9.17% 29.3 388s
32197 5377 infeasible 70 0.73773 0.80328 8.89% 29.6 391s
32726 5331 0.79041 72 126 0.73773 0.80323 8.88% 29.8 395s
33603 5245 0.77467 78 106 0.73773 0.80093 8.57% 30.3 401s
34064 5144 infeasible 42 0.73773 0.79949 8.37% 30.5 405s
35013 4986 infeasible 58 0.73773 0.79705 8.04% 31.2 412s
35536 4918 0.74286 76 78 0.73773 0.79673 8.00% 31.5 415s
36773 4738 cutoff 85 0.73773 0.79475 7.73% 31.7 422s
37312 4679 0.74679 81 84 0.73773 0.79415 7.65% 31.9 425s
38399 4682 0.76797 68 103 0.73773 0.79170 7.32% 32.0 431s
39609 4993 0.75044 76 81 0.73773 0.79014 7.10% 32.1 438s
H39613 4995 0.7377270 0.78975 7.05% 32.1 438s
39644 4950 0.74095 78 78 0.73773 0.78970 7.05% 32.1 442s
40409 5075 infeasible 75 0.73773 0.78927 6.99% 32.6 447s
40936 5161 cutoff 70 0.73773 0.78910 6.96% 32.7 450s
41959 5276 0.75750 72 117 0.73773 0.78673 6.64% 32.9 456s
42904 5366 infeasible 60 0.73773 0.78501 6.41% 33.1 462s
43409 5452 cutoff 76 0.73773 0.78436 6.32% 33.1 465s
44167 5529 infeasible 65 0.73773 0.78370 6.23% 33.3 470s
45171 5646 cutoff 81 0.73773 0.78248 6.07% 33.4 476s
45877 5675 0.76790 76 112 0.73773 0.78163 5.95% 33.8 481s
46920 5759 cutoff 73 0.73773 0.78026 5.77% 33.8 486s
47902 5854 cutoff 69 0.73773 0.77903 5.60% 33.8 491s
48847 5909 infeasible 57 0.73773 0.77798 5.46% 33.9 495s
49761 6003 0.76400 46 185 0.73773 0.77690 5.31% 34.0 500s
50993 6023 0.74406 76 129 0.73773 0.77524 5.08% 34.0 506s
51979 6103 0.76980 73 133 0.73773 0.77377 4.89% 34.0 511s
52744 6126 0.76460 47 177 0.73773 0.77253 4.72% 34.0 515s
53625 6127 0.76271 71 103 0.73773 0.77154 4.58% 34.1 520s
54945 6218 cutoff 96 0.73773 0.76989 4.36% 34.1 528s
55276 6228 infeasible 74 0.73773 0.76976 4.34% 34.2 530s
55979 6198 cutoff 71 0.73773 0.76905 4.25% 34.3 535s
57040 6139 infeasible 75 0.73773 0.76755 4.04% 34.4 541s
57785 6110 0.75997 64 136 0.73773 0.76656 3.91% 34.4 545s
58931 6063 infeasible 75 0.73773 0.76530 3.74% 34.5 550s
60070 6013 infeasible 50 0.73773 0.76412 3.58% 34.4 556s
61300 5977 infeasible 82 0.73773 0.76298 3.42% 34.4 561s
62354 5866 infeasible 84 0.73773 0.76179 3.26% 34.4 566s
63522 5800 infeasible 80 0.73773 0.76079 3.13% 34.3 571s
64514 5675 cutoff 60 0.73773 0.75985 3.00% 34.3 575s
65522 5551 infeasible 79 0.73773 0.75884 2.86% 34.3 580s
66431 5431 0.75050 59 153 0.73773 0.75818 2.77% 34.3 585s
67259 5277 cutoff 66 0.73773 0.75702 2.62% 34.3 590s
68543 4976 infeasible 79 0.73773 0.75532 2.38% 34.3 595s
69393 4795 0.74969 79 79 0.73773 0.75423 2.24% 34.2 600s
Cutting planes:
Learned: 2
Gomory: 224
Cover: 28
Implied bound: 84
Projected implied bound: 58
Clique: 16
MIR: 341
StrongCG: 7
Flow cover: 1033
Flow path: 5
GUB cover: 1
Inf proof: 298
Zero half: 1
Explored 69624 nodes (2387152 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.737727 0.737727 0.737448 ... 0.736411
Time limit reached
Best objective 7.377270180569e-01, best bound 7.538796230436e-01, gap 2.1895%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpej38o1ue.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp63qkykua.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2602_ by 0.999999998
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.174923e+00, 1606 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17492 0 125 - 1.17492 - - 0s
Another try with MIP start
H 0 0 0.7249203 1.17492 62.1% - 0s
0 0 1.15977 0 151 0.72492 1.15977 60.0% - 0s
0 0 1.15847 0 143 0.72492 1.15847 59.8% - 0s
0 0 1.13524 0 158 0.72492 1.13524 56.6% - 0s
0 0 1.13431 0 159 0.72492 1.13431 56.5% - 0s
0 0 1.12821 0 167 0.72492 1.12821 55.6% - 0s
0 0 1.12753 0 166 0.72492 1.12753 55.5% - 0s
0 0 1.12559 0 170 0.72492 1.12559 55.3% - 0s
0 0 1.12416 0 174 0.72492 1.12416 55.1% - 0s
0 0 1.12397 0 179 0.72492 1.12397 55.0% - 0s
0 0 1.12375 0 184 0.72492 1.12375 55.0% - 0s
0 0 1.12368 0 186 0.72492 1.12368 55.0% - 0s
0 0 1.12368 0 186 0.72492 1.12368 55.0% - 0s
0 0 1.12368 0 183 0.72492 1.12368 55.0% - 0s
0 0 1.12368 0 183 0.72492 1.12368 55.0% - 0s
0 0 1.12352 0 151 0.72492 1.12352 55.0% - 0s
0 0 1.12338 0 159 0.72492 1.12338 55.0% - 0s
0 0 1.12325 0 161 0.72492 1.12325 54.9% - 0s
0 0 1.12324 0 160 0.72492 1.12324 54.9% - 0s
0 0 1.12310 0 160 0.72492 1.12310 54.9% - 1s
0 0 1.12308 0 160 0.72492 1.12308 54.9% - 1s
0 0 1.12306 0 160 0.72492 1.12306 54.9% - 1s
0 0 1.12306 0 148 0.72492 1.12306 54.9% - 1s
0 2 1.12306 0 145 0.72492 1.12306 54.9% - 1s
777 566 0.99618 19 167 0.72492 1.06369 46.7% 16.8 5s
1717 810 0.98455 31 133 0.72492 1.03027 42.1% 22.0 10s
3332 1453 0.85845 67 128 0.72492 1.00384 38.5% 20.6 15s
6738 2049 0.91782 41 136 0.72492 0.92542 27.7% 16.5 20s
10023 2477 infeasible 49 0.72492 0.88323 21.8% 14.7 25s
13533 3791 0.80163 89 82 0.72492 0.86709 19.6% 13.7 30s
18167 5284 0.84711 74 110 0.72492 0.85512 18.0% 13.6 35s
21314 6142 0.82588 65 148 0.72492 0.84975 17.2% 13.8 58s
21317 6144 0.73407 128 191 0.72492 0.84975 17.2% 13.8 60s
21331 6153 0.73433 161 293 0.72492 0.84975 17.2% 13.8 65s
21337 6157 0.83966 75 287 0.72492 0.84975 17.2% 13.8 70s
21345 6163 0.80048 82 290 0.72492 0.84975 17.2% 13.7 75s
21349 6165 0.73280 139 295 0.72492 0.84975 17.2% 13.7 80s
21354 6169 0.76878 93 320 0.72492 0.84975 17.2% 13.7 85s
21358 6171 0.75865 90 313 0.72492 0.84975 17.2% 13.7 91s
21363 6175 0.79409 76 316 0.72492 0.84975 17.2% 13.7 95s
21367 6177 0.82470 88 322 0.72492 0.84975 17.2% 13.7 100s
21372 6181 0.83788 72 313 0.72492 0.84975 17.2% 13.7 105s
21377 6184 0.78677 105 296 0.72492 0.84975 17.2% 13.7 111s
21381 6187 0.84567 70 320 0.72492 0.84975 17.2% 13.7 115s
21386 6190 0.84151 90 315 0.72492 0.84975 17.2% 13.7 120s
21390 6193 0.81346 70 313 0.72492 0.84975 17.2% 13.7 125s
21395 6196 0.80436 69 314 0.72492 0.84975 17.2% 13.7 130s
21399 6199 0.76877 67 322 0.72492 0.84975 17.2% 13.7 135s
21404 6202 0.78634 97 317 0.72492 0.84975 17.2% 13.7 140s
21408 6205 0.81150 74 316 0.72492 0.84975 17.2% 13.7 145s
21412 6207 0.83328 67 313 0.72492 0.84975 17.2% 13.7 151s
21416 6210 0.82791 79 317 0.72492 0.84975 17.2% 13.7 156s
21420 6213 0.81718 75 317 0.72492 0.84975 17.2% 13.7 160s
21425 6216 0.78573 70 305 0.72492 0.84975 17.2% 13.7 167s
21429 6219 0.80065 76 307 0.72492 0.84975 17.2% 13.7 170s
21433 6221 0.76075 98 306 0.72492 0.84975 17.2% 13.7 175s
21437 6224 0.83966 75 318 0.72492 0.84975 17.2% 13.7 180s
21441 6227 0.81794 98 320 0.72492 0.84975 17.2% 13.7 186s
21444 6229 0.81856 97 330 0.72492 0.84975 17.2% 13.7 190s
21447 6231 0.78254 94 325 0.72492 0.84975 17.2% 13.7 195s
21452 6234 0.75774 63 311 0.72492 0.84975 17.2% 13.7 201s
21454 6235 0.76878 93 302 0.72492 0.84975 17.2% 13.7 205s
21458 6238 0.75865 90 294 0.72492 0.84975 17.2% 13.7 211s
21460 6239 0.81694 64 300 0.72492 0.84975 17.2% 13.7 216s
H21461 5925 0.7249203 0.84975 17.2% 13.7 220s
21467 5929 0.82470 88 301 0.72492 0.84975 17.2% 13.7 227s
21469 5930 0.76050 96 303 0.72492 0.84975 17.2% 13.7 230s
21473 5933 0.84042 63 311 0.72492 0.84975 17.2% 13.7 236s
21476 5935 0.77954 97 317 0.72492 0.84975 17.2% 13.7 240s
21479 5937 0.73581 73 310 0.72492 0.84975 17.2% 13.7 245s
21483 5940 0.78376 81 314 0.72492 0.84975 17.2% 13.7 252s
21486 5942 0.84151 90 308 0.72492 0.84975 17.2% 13.7 255s
21490 5944 0.81346 70 311 0.72492 0.84975 17.2% 13.7 260s
21494 5947 0.76365 103 312 0.72492 0.84975 17.2% 13.7 265s
21499 5950 0.76877 67 315 0.72492 0.84975 17.2% 13.6 271s
21502 5952 0.78758 80 314 0.72492 0.84975 17.2% 13.6 275s
21506 5955 0.77056 76 307 0.72492 0.84975 17.2% 13.6 280s
21511 5958 0.76618 99 309 0.72492 0.84975 17.2% 13.6 285s
21516 5962 0.82791 79 316 0.72492 0.84975 17.2% 13.6 290s
21521 5965 0.79508 64 311 0.72492 0.84975 17.2% 13.6 295s
21526 5968 0.76202 79 317 0.72492 0.84975 17.2% 13.6 300s
21530 5971 0.84596 65 320 0.72492 0.84975 17.2% 13.6 305s
21534 5974 0.76298 72 306 0.72492 0.84975 17.2% 13.6 310s
21539 5977 0.78557 98 310 0.72492 0.84975 17.2% 13.6 315s
21543 5980 0.76331 105 317 0.72492 0.84975 17.2% 13.6 321s
21545 5983 0.84975 25 305 0.72492 0.84975 17.2% 16.8 334s
H21546 5680 0.7249203 0.84975 17.2% 16.8 334s
21547 5679 infeasible 26 0.72492 0.84975 17.2% 16.8 345s
21578 5687 0.77491 34 235 0.72492 0.84975 17.2% 17.2 350s
21635 5694 0.84975 33 272 0.72492 0.84975 17.2% 17.9 355s
21810 5695 0.84975 36 273 0.72492 0.84975 17.2% 19.1 360s
21951 5706 infeasible 33 0.72492 0.84975 17.2% 20.0 365s
22155 5689 0.75653 42 220 0.72492 0.84975 17.2% 21.4 370s
22462 5703 cutoff 45 0.72492 0.84975 17.2% 22.5 376s
22634 5736 0.82437 64 236 0.72492 0.84975 17.2% 23.0 380s
23027 5694 0.79345 95 139 0.72492 0.84975 17.2% 24.3 385s
23320 5714 0.78886 82 159 0.72492 0.84975 17.2% 25.1 390s
23831 5741 0.83884 56 198 0.72492 0.84707 16.9% 26.5 395s
24303 5798 infeasible 41 0.72492 0.84031 15.9% 26.9 400s
24871 5803 0.74744 87 127 0.72492 0.83028 14.5% 27.8 406s
25281 5859 0.80151 61 169 0.72492 0.82738 14.1% 28.2 410s
25980 5957 0.79483 74 137 0.72492 0.82467 13.8% 29.0 416s
26322 5930 infeasible 71 0.72492 0.82360 13.6% 29.8 421s
26599 5957 infeasible 66 0.72492 0.82327 13.6% 30.1 427s
26670 5936 0.79248 76 141 0.72492 0.82319 13.6% 30.4 430s
27459 5969 0.78652 40 237 0.72492 0.82131 13.3% 30.9 436s
27780 5999 0.78407 71 129 0.72492 0.82048 13.2% 31.3 441s
28536 6039 infeasible 80 0.72492 0.81736 12.8% 31.9 446s
29105 6065 0.72694 96 58 0.72492 0.81572 12.5% 32.1 450s
29944 6045 infeasible 46 0.72492 0.81285 12.1% 32.7 457s
30425 6015 0.80426 62 159 0.72492 0.81094 11.9% 33.0 461s
31491 5988 infeasible 77 0.72492 0.80712 11.3% 33.5 468s
32006 5966 infeasible 75 0.72492 0.80527 11.1% 33.8 472s
32522 5879 0.76729 73 88 0.72492 0.80348 10.8% 34.1 477s
33130 5869 0.76529 70 151 0.72492 0.80101 10.5% 34.4 480s
34118 5831 infeasible 70 0.72492 0.79891 10.2% 34.6 487s
34689 5825 0.75124 88 85 0.72492 0.79692 9.93% 34.8 492s
34721 5764 0.74073 93 65 0.72492 0.79689 9.93% 34.8 495s
35884 5638 0.78746 70 134 0.72492 0.79298 9.39% 34.9 502s
36474 5555 0.76641 69 130 0.72492 0.79141 9.17% 35.0 505s
37685 5437 infeasible 89 0.72492 0.78894 8.83% 35.1 512s
38061 5394 0.77697 67 151 0.72492 0.78741 8.62% 35.2 515s
39277 5558 cutoff 76 0.72492 0.78499 8.29% 35.3 522s
39698 5609 cutoff 68 0.72492 0.78416 8.17% 35.5 525s
40046 5653 0.77005 90 95 0.72492 0.78303 8.02% 35.6 530s
40914 5766 infeasible 75 0.72492 0.78134 7.78% 36.0 536s
41984 5981 0.74042 98 69 0.72492 0.77964 7.55% 36.1 542s
42481 6050 infeasible 72 0.72492 0.77848 7.39% 36.1 545s
43288 6096 infeasible 67 0.72492 0.77649 7.11% 36.3 551s
44105 6147 infeasible 74 0.72492 0.77457 6.85% 36.4 556s
44975 6219 0.77273 65 142 0.72492 0.77276 6.60% 36.5 562s
45428 6261 0.73819 66 146 0.72492 0.77207 6.50% 36.5 565s
46264 6320 cutoff 78 0.72492 0.77015 6.24% 36.6 570s
47074 6376 infeasible 76 0.72492 0.76886 6.06% 36.8 576s
47910 6443 infeasible 80 0.72492 0.76685 5.78% 36.8 581s
48627 6418 infeasible 71 0.72492 0.76529 5.57% 36.8 585s
49514 6380 0.75641 77 112 0.72492 0.76308 5.26% 37.0 590s
50545 6330 infeasible 89 0.72492 0.76091 4.97% 37.1 596s
51203 6405 infeasible 94 0.72492 0.75986 4.82% 37.3 600s
Cutting planes:
Learned: 4
Gomory: 177
Cover: 15
Implied bound: 52
Projected implied bound: 62
Clique: 12
MIR: 311
StrongCG: 10
Flow cover: 864
Flow path: 1
Inf proof: 282
Explored 51229 nodes (1912419 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.72492 0.72492 0.72492
Time limit reached
Best objective 7.249203121296e-01, best bound 7.596402256265e-01, gap 4.7895%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpknhzqsea.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp05fv0wp5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.716025
Presolve removed 793 rows and 493 columns
Presolve time: 0.04s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.161074e+00, 1588 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16107 0 126 0.71603 1.16107 62.2% - 0s
0 0 1.14659 0 141 0.71603 1.14659 60.1% - 0s
0 0 1.14655 0 140 0.71603 1.14655 60.1% - 0s
0 0 1.11603 0 146 0.71603 1.11603 55.9% - 0s
0 0 1.11465 0 157 0.71603 1.11465 55.7% - 0s
0 0 1.11077 0 181 0.71603 1.11077 55.1% - 0s
0 0 1.11052 0 184 0.71603 1.11052 55.1% - 0s
0 0 1.11023 0 187 0.71603 1.11023 55.1% - 0s
0 0 1.11002 0 191 0.71603 1.11002 55.0% - 0s
0 0 1.10960 0 186 0.71603 1.10960 55.0% - 0s
0 0 1.10949 0 186 0.71603 1.10949 55.0% - 0s
0 0 1.10931 0 185 0.71603 1.10931 54.9% - 0s
0 0 1.10928 0 186 0.71603 1.10928 54.9% - 0s
0 0 1.10928 0 183 0.71603 1.10928 54.9% - 0s
0 0 1.10928 0 146 0.71603 1.10928 54.9% - 0s
0 2 1.10928 0 146 0.71603 1.10928 54.9% - 0s
743 562 1.06526 15 163 0.71603 1.06526 48.8% 24.7 5s
H 1747 638 0.7160630 1.03082 44.0% 22.2 8s
2331 617 infeasible 43 0.71606 1.01856 42.2% 20.7 10s
H 3050 843 0.7160630 1.00704 40.6% 19.6 11s
5337 1218 0.77284 106 103 0.71606 0.95050 32.7% 16.7 15s
10771 3005 0.78709 60 132 0.71606 0.90452 26.3% 13.4 20s
15818 4493 0.84257 77 99 0.71606 0.87758 22.6% 13.1 25s
19264 5688 0.76350 88 116 0.71606 0.86883 21.3% 13.3 30s
20875 6120 0.78790 92 146 0.71606 0.86420 20.7% 13.4 50s
20890 6130 0.77637 97 222 0.71606 0.86420 20.7% 13.4 55s
20897 6135 0.73210 76 253 0.71606 0.86420 20.7% 13.4 60s
20902 6138 0.78095 50 245 0.71606 0.86420 20.7% 13.4 65s
20911 6144 0.83414 69 264 0.71606 0.86420 20.7% 13.4 70s
20917 6148 0.84541 58 274 0.71606 0.86420 20.7% 13.4 75s
20924 6153 0.84155 75 260 0.71606 0.86420 20.7% 13.4 81s
20932 6158 0.73602 99 280 0.71606 0.86420 20.7% 13.4 85s
20937 6161 0.75772 81 296 0.71606 0.86420 20.7% 13.4 91s
20941 6164 0.75047 127 300 0.71606 0.86420 20.7% 13.4 95s
20947 6168 0.72617 149 310 0.71606 0.86420 20.7% 13.4 100s
20951 6171 0.80506 89 298 0.71606 0.86420 20.7% 13.4 105s
20957 6175 0.72399 135 297 0.71606 0.86420 20.7% 13.4 110s
H20961 5866 0.7160630 0.86420 20.7% 13.4 116s
20968 5871 0.79174 153 299 0.71606 0.86420 20.7% 13.4 120s
20976 5876 0.80575 74 315 0.71606 0.86420 20.7% 13.4 125s
20980 5879 0.82369 82 319 0.71606 0.86420 20.7% 13.4 130s
20985 5882 0.81771 83 300 0.71606 0.86420 20.7% 13.4 135s
20990 5886 0.77637 97 315 0.71606 0.86420 20.7% 13.3 141s
20995 5889 0.81529 86 300 0.71606 0.86420 20.7% 13.3 146s
21000 5892 0.83477 58 330 0.71606 0.86420 20.7% 13.3 150s
21004 5895 0.78574 90 328 0.71606 0.86420 20.7% 13.3 155s
21008 5898 0.78965 98 327 0.71606 0.86420 20.7% 13.3 160s
21013 5901 0.80677 69 322 0.71606 0.86420 20.7% 13.3 166s
21018 5904 0.78226 127 326 0.71606 0.86420 20.7% 13.3 170s
21023 5908 0.83696 77 328 0.71606 0.86420 20.7% 13.3 175s
21027 5910 0.81507 70 320 0.71606 0.86420 20.7% 13.3 180s
21032 5914 0.73602 99 323 0.71606 0.86420 20.7% 13.3 186s
21035 5916 0.74292 155 328 0.71606 0.86420 20.7% 13.3 190s
H21035 5618 0.7160630 0.86420 20.7% 13.3 192s
21038 5620 0.83997 80 320 0.71606 0.86420 20.7% 13.3 195s
21041 5622 0.75047 127 309 0.71606 0.86420 20.7% 13.3 200s
21045 5624 0.80507 87 327 0.71606 0.86420 20.7% 13.3 205s
21050 5628 0.78046 69 329 0.71606 0.86420 20.7% 13.3 210s
21054 5630 0.79491 42 326 0.71606 0.86420 20.7% 13.3 215s
21059 5634 0.82254 94 323 0.71606 0.86399 20.7% 13.3 220s
21063 5636 0.77442 88 328 0.71606 0.86386 20.6% 13.3 225s
21067 5639 0.86197 76 328 0.71606 0.86371 20.6% 13.3 232s
21069 5640 0.85039 73 327 0.71606 0.86371 20.6% 13.3 235s
21074 5644 0.84510 74 344 0.71606 0.86358 20.6% 13.3 240s
21080 5648 0.82369 82 333 0.71606 0.86058 20.2% 13.3 246s
21084 5650 0.82490 63 336 0.71606 0.85981 20.1% 13.3 250s
21089 5654 0.77628 66 322 0.71606 0.85953 20.0% 13.3 255s
21093 5656 0.82843 86 329 0.71606 0.85931 20.0% 13.3 260s
21096 5658 0.80909 83 342 0.71606 0.85916 20.0% 13.3 265s
21100 5661 0.83477 58 333 0.71606 0.85901 20.0% 13.3 270s
21105 5664 0.84824 82 315 0.71606 0.85836 19.9% 13.3 275s
21110 5668 0.81578 84 345 0.71606 0.85803 19.8% 13.3 280s
21114 5670 0.85535 63 330 0.71606 0.85782 19.8% 13.3 285s
21119 5674 0.81052 79 326 0.71606 0.85755 19.8% 13.3 292s
21121 5677 0.85723 29 294 0.71606 0.85751 19.8% 17.1 304s
21123 5676 0.84474 30 302 0.71606 0.85708 19.7% 17.1 312s
21149 5680 0.85429 35 310 0.71606 0.85625 19.6% 17.5 315s
21224 5699 cutoff 52 0.71606 0.85625 19.6% 18.0 320s
21267 5685 infeasible 34 0.71606 0.85429 19.3% 18.7 325s
21343 5690 0.85078 40 300 0.71606 0.85078 18.8% 19.5 332s
21412 5687 infeasible 45 0.71606 0.84750 18.4% 20.0 335s
21643 5735 0.82313 51 237 0.71606 0.84626 18.2% 20.8 340s
21804 5726 0.78227 51 213 0.71606 0.84263 17.7% 21.8 345s
21986 5738 0.76113 43 261 0.71606 0.83880 17.1% 22.6 350s
22353 5800 0.81754 49 232 0.71606 0.83864 17.1% 23.6 355s
22707 5806 0.81633 49 254 0.71606 0.83863 17.1% 24.5 360s
23026 5848 0.75979 60 210 0.71606 0.83812 17.0% 25.6 366s
23268 5866 infeasible 69 0.71606 0.83544 16.7% 26.6 373s
23405 5888 0.81357 60 209 0.71606 0.83446 16.5% 27.0 375s
23647 5916 0.78027 51 190 0.71606 0.83254 16.3% 27.9 380s
23910 5958 0.73573 43 223 0.71606 0.83229 16.2% 29.2 386s
24213 5950 0.82723 52 246 0.71606 0.83171 16.2% 30.0 390s
24289 5965 infeasible 43 0.71606 0.83171 16.2% 30.2 396s
24616 6035 0.81190 49 216 0.71606 0.83033 16.0% 31.3 402s
24765 6043 0.81916 48 256 0.71606 0.83011 15.9% 31.8 405s
25028 6052 infeasible 64 0.71606 0.82966 15.9% 32.9 412s
25169 6064 0.79348 50 215 0.71606 0.82905 15.8% 33.5 415s
25644 6122 0.78284 56 238 0.71606 0.82812 15.6% 34.4 421s
25758 6116 0.75247 73 202 0.71606 0.82767 15.6% 35.0 425s
26211 6155 0.73521 72 181 0.71606 0.82588 15.3% 36.1 442s
26215 6144 0.72712 72 180 0.71606 0.82578 15.3% 36.1 447s
26406 6159 0.81403 58 206 0.71606 0.82525 15.2% 36.8 451s
26534 6164 infeasible 43 0.71606 0.82481 15.2% 37.1 455s
26827 6183 0.81630 61 205 0.71606 0.82451 15.1% 37.6 460s
27149 6190 0.80404 54 243 0.71606 0.82379 15.0% 38.2 465s
27358 6192 cutoff 56 0.71606 0.82295 14.9% 39.0 471s
27649 6216 0.77163 57 200 0.71606 0.82280 14.9% 39.6 477s
27815 6215 cutoff 48 0.71606 0.82237 14.8% 40.4 483s
28083 6224 infeasible 56 0.71606 0.82216 14.8% 41.2 489s
28356 6224 infeasible 54 0.71606 0.82144 14.7% 42.0 494s
28712 6230 0.80501 55 204 0.71606 0.82032 14.6% 42.7 499s
29014 6232 infeasible 45 0.71606 0.81989 14.5% 43.3 513s
29430 6279 infeasible 54 0.71606 0.81908 14.4% 44.2 528s
29625 6235 0.80111 54 221 0.71606 0.81905 14.4% 45.4 535s
30012 6241 0.79415 65 162 0.71606 0.81822 14.3% 46.1 542s
30346 6237 infeasible 51 0.71606 0.81753 14.2% 46.9 549s
30731 6214 cutoff 37 0.71606 0.81704 14.1% 47.8 556s
31156 6181 0.79721 64 185 0.71606 0.81618 14.0% 48.6 563s
31762 6206 0.79494 64 176 0.71606 0.81536 13.9% 49.2 572s
32180 6184 0.80328 64 166 0.71606 0.81449 13.7% 49.6 580s
32901 6200 cutoff 67 0.71606 0.81318 13.6% 49.9 588s
33392 6128 0.80471 54 230 0.71606 0.81234 13.4% 50.4 600s
Cutting planes:
Learned: 2
Gomory: 234
Cover: 19
Implied bound: 47
Projected implied bound: 75
Clique: 15
MIR: 319
StrongCG: 8
Flow cover: 884
Flow path: 3
Inf proof: 133
Zero half: 1
Explored 33919 nodes (1725964 simplex iterations) in 600.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.716063 0.716063 0.716063 ... 0.716025
Time limit reached
Best objective 7.160629795413e-01, best bound 8.116233182591e-01, gap 13.3452%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfn0oxmzk.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt46kho2_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.709064
Presolve removed 806 rows and 501 columns
Presolve time: 0.05s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.150497e+00, 1498 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15050 0 133 0.70906 1.15050 62.3% - 0s
0 0 1.13381 0 152 0.70906 1.13381 59.9% - 0s
0 0 1.13186 0 149 0.70906 1.13186 59.6% - 0s
0 0 1.11342 0 164 0.70906 1.11342 57.0% - 0s
0 0 1.11342 0 164 0.70906 1.11342 57.0% - 0s
0 0 1.10665 0 169 0.70906 1.10665 56.1% - 0s
0 0 1.10434 0 166 0.70906 1.10434 55.7% - 0s
0 0 1.10236 0 183 0.70906 1.10236 55.5% - 0s
0 0 1.10165 0 178 0.70906 1.10165 55.4% - 0s
0 0 1.10140 0 182 0.70906 1.10140 55.3% - 0s
0 0 1.10138 0 184 0.70906 1.10138 55.3% - 0s
0 0 1.10079 0 176 0.70906 1.10079 55.2% - 0s
0 0 1.10065 0 184 0.70906 1.10065 55.2% - 0s
0 0 1.10054 0 187 0.70906 1.10054 55.2% - 0s
0 0 1.10053 0 188 0.70906 1.10053 55.2% - 0s
0 0 1.10053 0 188 0.70906 1.10053 55.2% - 0s
0 0 1.10053 0 187 0.70906 1.10053 55.2% - 0s
0 0 1.10053 0 154 0.70906 1.10053 55.2% - 0s
0 2 1.10053 0 152 0.70906 1.10053 55.2% - 1s
743 524 0.97106 61 173 0.70906 1.05791 49.2% 25.2 5s
1287 667 0.81589 76 160 0.70906 1.04955 48.0% 31.6 10s
H 2018 774 0.7092369 1.02191 44.1% 28.9 13s
3126 1256 0.93312 43 130 0.70924 1.00292 41.4% 25.2 15s
5035 1917 0.87254 52 149 0.70924 0.96783 36.5% 22.4 20s
8002 2648 0.88970 38 142 0.70924 0.92804 30.9% 20.6 25s
10803 3152 0.78756 62 136 0.70924 0.90215 27.2% 19.3 30s
13149 3431 0.85140 57 139 0.70924 0.88227 24.4% 18.6 35s
H14903 3815 0.7092369 0.86995 22.7% 18.1 38s
15460 3818 infeasible 73 0.70924 0.86566 22.1% 18.1 40s
19784 5492 0.81944 73 123 0.70924 0.85472 20.5% 17.0 45s
21358 6158 0.74673 146 154 0.70924 0.85219 20.2% 16.7 65s
21373 6168 0.71461 162 211 0.70924 0.85219 20.2% 16.7 71s
21379 6172 0.74828 56 221 0.70924 0.85219 20.2% 16.7 75s
21383 6175 0.79997 93 241 0.70924 0.85219 20.2% 16.7 80s
21390 6179 0.83326 91 245 0.70924 0.85219 20.2% 16.7 85s
21396 6183 0.74847 84 246 0.70924 0.85219 20.2% 16.6 91s
21401 6187 0.77571 102 266 0.70924 0.85219 20.2% 16.6 95s
21405 6189 0.80668 70 262 0.70924 0.85219 20.2% 16.6 100s
21411 6193 0.83114 87 287 0.70924 0.85219 20.2% 16.6 105s
21417 6197 0.76139 103 249 0.70924 0.85219 20.2% 16.6 111s
21422 6201 0.82587 74 271 0.70924 0.85219 20.2% 16.6 115s
21426 6203 0.80548 75 267 0.70924 0.85219 20.2% 16.6 120s
21430 6206 0.75600 119 266 0.70924 0.85219 20.2% 16.6 125s
21433 6208 0.71435 165 280 0.70924 0.85219 20.2% 16.6 130s
21437 6211 0.77297 63 285 0.70924 0.85219 20.2% 16.6 136s
21441 6213 0.83466 73 266 0.70924 0.85219 20.2% 16.6 141s
21446 6217 0.84746 60 265 0.70924 0.85219 20.2% 16.6 145s
21450 6219 0.79011 133 271 0.70924 0.85219 20.2% 16.6 150s
21455 6223 0.77369 101 276 0.70924 0.85219 20.2% 16.6 155s
21460 6226 0.83160 76 288 0.70924 0.85219 20.2% 16.6 160s
21465 6229 0.77824 62 289 0.70924 0.85219 20.2% 16.6 165s
21470 6233 0.84305 75 281 0.70924 0.85219 20.2% 16.6 170s
21476 6237 0.83610 46 272 0.70924 0.85219 20.2% 16.6 175s
21481 6240 0.77517 81 292 0.70924 0.85219 20.2% 16.6 180s
21486 6243 0.73016 70 280 0.70924 0.85219 20.2% 16.6 185s
21492 6247 0.80367 87 280 0.70924 0.85178 20.1% 16.6 190s
21496 6250 0.74847 84 286 0.70924 0.85143 20.0% 16.6 195s
21500 6253 0.75890 72 279 0.70924 0.85093 20.0% 16.6 200s
21504 6255 0.75008 126 284 0.70924 0.85079 20.0% 16.6 205s
21508 6258 0.71780 118 287 0.70924 0.85055 19.9% 16.6 210s
21512 6261 0.76423 102 297 0.70924 0.85025 19.9% 16.6 215s
21515 6263 0.76831 56 290 0.70924 0.84972 19.8% 16.6 220s
21520 6266 0.80142 74 287 0.70924 0.84928 19.7% 16.6 225s
21525 6269 0.82617 82 285 0.70924 0.84910 19.7% 16.5 230s
21530 6273 0.75600 119 286 0.70924 0.84897 19.7% 16.5 235s
21536 6277 0.78402 66 284 0.70924 0.84890 19.7% 16.5 240s
21541 6280 0.83466 73 289 0.70924 0.84887 19.7% 16.5 245s
21545 6283 0.71990 152 273 0.70924 0.84848 19.6% 16.5 250s
21549 6285 0.78442 82 275 0.70924 0.84813 19.6% 16.5 255s
21553 6288 0.81285 89 281 0.70924 0.84777 19.5% 16.5 261s
21557 6291 0.79951 86 283 0.70924 0.84724 19.5% 16.5 266s
21560 6293 0.83160 76 281 0.70924 0.84704 19.4% 16.5 270s
21566 6297 0.73368 63 281 0.70924 0.84632 19.3% 16.5 275s
21570 6299 0.84305 75 286 0.70924 0.84626 19.3% 16.5 280s
21575 6303 0.78947 83 291 0.70924 0.84613 19.3% 16.5 285s
H21575 5984 0.7092369 0.84612 19.3% 16.5 287s
21579 5986 0.74828 56 290 0.70924 0.84608 19.3% 16.5 290s
21584 5990 0.80530 69 286 0.70924 0.84601 19.3% 16.5 296s
21586 5992 0.83033 24 249 0.70924 0.84569 19.2% 19.6 302s
21588 5992 0.82264 25 230 0.70924 0.84527 19.2% 19.6 308s
21590 5993 0.78518 26 210 0.70924 0.84158 18.7% 19.6 312s
21620 5993 0.74459 31 175 0.70924 0.83849 18.2% 19.9 315s
21701 6002 infeasible 45 0.70924 0.83849 18.2% 20.3 321s
21876 6008 0.81773 45 217 0.70924 0.83683 18.0% 21.0 325s
22094 6001 0.83491 37 229 0.70924 0.83617 17.9% 22.0 330s
22138 6007 0.82676 42 207 0.70924 0.83617 17.9% 22.4 335s
22424 5984 0.76964 30 241 0.70924 0.83240 17.4% 23.6 340s
22731 6026 infeasible 42 0.70924 0.83169 17.3% 24.8 345s
23037 6034 0.71357 54 188 0.70924 0.82615 16.5% 25.7 350s
23508 6077 0.78810 49 198 0.70924 0.82176 15.9% 26.8 355s
23832 6105 0.77227 40 216 0.70924 0.81946 15.5% 27.6 360s
24269 6133 0.78595 58 182 0.70924 0.81772 15.3% 28.5 365s
24624 6163 infeasible 41 0.70924 0.81585 15.0% 29.0 371s
25012 6172 0.75661 57 153 0.70924 0.81462 14.9% 29.5 375s
25739 6220 infeasible 55 0.70924 0.81176 14.5% 30.3 381s
26286 6281 infeasible 56 0.70924 0.81005 14.2% 30.8 386s
26615 6282 infeasible 56 0.70924 0.80919 14.1% 31.0 391s
27044 6262 0.73006 50 202 0.70924 0.80733 13.8% 31.6 396s
27726 6283 0.74185 77 117 0.70924 0.80544 13.6% 32.2 402s
28243 6348 0.74843 68 129 0.70924 0.80406 13.4% 32.4 405s
28858 6323 0.73638 66 93 0.70924 0.80306 13.2% 32.9 411s
29346 6358 0.72863 93 99 0.70924 0.80155 13.0% 33.1 415s
30245 6334 0.74914 62 106 0.70924 0.79877 12.6% 33.6 422s
30863 6355 cutoff 55 0.70924 0.79778 12.5% 33.9 426s
32065 6319 0.77481 60 151 0.70924 0.79474 12.1% 34.3 433s
32679 6321 infeasible 58 0.70924 0.79267 11.8% 34.4 437s
33189 6312 0.76641 58 108 0.70924 0.79225 11.7% 34.8 441s
33826 6330 0.71774 51 189 0.70924 0.79004 11.4% 34.9 445s
34897 6320 0.74163 61 178 0.70924 0.78776 11.1% 35.2 453s
34914 6265 cutoff 63 0.70924 0.78776 11.1% 35.2 457s
35475 6225 0.72332 67 131 0.70924 0.78633 10.9% 35.4 460s
36494 6153 0.76295 63 110 0.70924 0.78420 10.6% 35.6 467s
37032 6096 0.76678 63 143 0.70924 0.78268 10.4% 35.8 471s
38134 6037 0.76749 64 135 0.70924 0.78027 10.0% 35.9 478s
38829 6027 infeasible 56 0.70924 0.77908 9.85% 35.8 481s
39935 6028 0.72975 69 131 0.70924 0.77731 9.60% 35.9 487s
40420 6090 infeasible 52 0.70924 0.77599 9.41% 36.0 490s
41410 6261 0.76613 51 198 0.70924 0.77486 9.25% 36.2 496s
42304 6318 0.71887 76 90 0.70924 0.77295 8.98% 36.4 502s
42887 6415 infeasible 52 0.70924 0.77190 8.84% 36.4 505s
43802 6576 infeasible 60 0.70924 0.77045 8.63% 36.5 511s
44706 6694 0.74685 63 98 0.70924 0.76855 8.36% 36.7 516s
45706 6831 0.76065 64 144 0.70924 0.76667 8.10% 36.7 522s
46215 6962 infeasible 68 0.70924 0.76609 8.02% 36.7 525s
46950 7059 0.71965 77 61 0.70924 0.76475 7.83% 36.9 530s
47943 7232 cutoff 65 0.70924 0.76312 7.60% 37.0 536s
48726 7299 infeasible 65 0.70924 0.76154 7.38% 37.1 541s
49709 7422 cutoff 84 0.70924 0.76029 7.20% 37.1 546s
50654 7504 infeasible 66 0.70924 0.75916 7.04% 37.2 552s
51452 7551 infeasible 52 0.70924 0.75764 6.82% 37.3 556s
52328 7621 0.74824 63 115 0.70924 0.75638 6.65% 37.4 561s
53126 7666 infeasible 64 0.70924 0.75512 6.47% 37.4 566s
53543 7711 infeasible 62 0.70924 0.75455 6.39% 37.4 572s
54331 7743 0.74698 69 97 0.70924 0.75340 6.23% 37.4 577s
55290 7822 0.72503 64 74 0.70924 0.75245 6.09% 37.4 581s
56118 7849 0.74449 71 104 0.70924 0.75101 5.89% 37.4 586s
57081 7915 infeasible 64 0.70924 0.74989 5.73% 37.3 590s
58467 8025 infeasible 56 0.70924 0.74836 5.52% 37.2 596s
59187 8109 infeasible 71 0.70924 0.74743 5.39% 37.3 600s
Cutting planes:
Learned: 5
Gomory: 210
Cover: 19
Implied bound: 84
Projected implied bound: 56
Clique: 21
MIR: 288
StrongCG: 2
Flow cover: 905
Flow path: 8
GUB cover: 1
Inf proof: 321
Zero half: 1
Explored 59271 nodes (2213282 simplex iterations) in 600.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.709237 0.709237 0.709237 0.709064
Time limit reached
Best objective 7.092368909561e-01, best bound 7.473314770351e-01, gap 5.3712%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4_xnvzcp.pyomo.lp
Reading time = 0.02 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8_xsag5b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.702555
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.134363e+00, 1608 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13436 0 140 0.70256 1.13436 61.5% - 0s
0 0 1.11670 0 163 0.70256 1.11670 58.9% - 0s
0 0 1.11532 0 161 0.70256 1.11532 58.8% - 0s
0 0 1.08487 0 179 0.70256 1.08487 54.4% - 0s
0 0 1.08459 0 180 0.70256 1.08459 54.4% - 0s
0 0 1.08317 0 175 0.70256 1.08317 54.2% - 0s
0 0 1.08306 0 183 0.70256 1.08306 54.2% - 0s
0 0 1.08304 0 176 0.70256 1.08304 54.2% - 0s
0 0 1.08301 0 177 0.70256 1.08301 54.2% - 0s
0 0 1.08279 0 178 0.70256 1.08279 54.1% - 0s
0 0 1.08267 0 178 0.70256 1.08267 54.1% - 0s
0 0 1.08267 0 179 0.70256 1.08267 54.1% - 0s
0 0 1.08267 0 179 0.70256 1.08267 54.1% - 0s
0 0 1.08267 0 145 0.70256 1.08267 54.1% - 0s
0 2 1.08267 0 141 0.70256 1.08267 54.1% - 0s
758 541 0.96055 25 171 0.70256 1.03300 47.0% 18.8 5s
1044 597 0.97643 19 181 0.70256 1.03300 47.0% 32.1 10s
2113 841 0.85699 37 158 0.70256 1.02588 46.0% 37.9 15s
3115 1202 0.83890 31 163 0.70256 1.00622 43.2% 39.5 20s
4848 1776 0.95681 33 170 0.70256 0.97540 38.8% 38.7 25s
6927 2412 infeasible 56 0.70256 0.94724 34.8% 34.9 30s
8728 2411 0.85918 43 131 0.70256 0.90856 29.3% 32.7 35s
11447 2246 0.85874 64 108 0.70256 0.86951 23.8% 27.9 40s
H13416 2775 0.7025553 0.85802 22.1% 25.2 43s
14154 2818 infeasible 62 0.70256 0.85513 21.7% 24.4 45s
19472 4814 0.83104 71 115 0.70256 0.84169 19.8% 20.4 50s
22328 5818 0.81695 86 145 0.70256 0.83889 19.4% 19.2 71s
22341 5827 0.76174 93 216 0.70256 0.83889 19.4% 19.2 75s
22350 5833 0.82731 59 251 0.70256 0.83889 19.4% 19.1 80s
22354 5835 0.83703 74 259 0.70256 0.83889 19.4% 19.1 85s
22359 5839 0.76024 90 277 0.70256 0.83889 19.4% 19.1 90s
22363 5841 0.83427 81 274 0.70256 0.83889 19.4% 19.1 95s
22368 5845 0.81936 93 263 0.70256 0.83889 19.4% 19.1 101s
22373 5848 0.78239 80 263 0.70256 0.83889 19.4% 19.1 106s
22378 5851 0.76899 90 270 0.70256 0.83889 19.4% 19.1 110s
22385 5856 0.73193 41 289 0.70256 0.83889 19.4% 19.1 115s
22390 5859 0.78697 94 290 0.70256 0.83889 19.4% 19.1 121s
22394 5862 0.79298 85 291 0.70256 0.83889 19.4% 19.1 125s
22398 5865 0.83008 76 302 0.70256 0.83889 19.4% 19.1 130s
22403 5868 0.73842 105 298 0.70256 0.83889 19.4% 19.1 135s
22408 5871 0.82085 76 296 0.70256 0.83889 19.4% 19.1 141s
22413 5875 0.78274 77 298 0.70256 0.83889 19.4% 19.1 145s
22416 5877 0.76097 100 293 0.70256 0.83889 19.4% 19.1 150s
22420 5879 0.82503 89 299 0.70256 0.83889 19.4% 19.1 155s
22425 5883 0.74750 46 298 0.70256 0.83889 19.4% 19.1 160s
22430 5886 0.74147 102 285 0.70256 0.83889 19.4% 19.1 165s
22436 5890 0.82328 71 287 0.70256 0.83889 19.4% 19.1 171s
22440 5893 0.81509 71 301 0.70256 0.83889 19.4% 19.1 177s
22442 5894 0.80909 74 294 0.70256 0.83889 19.4% 19.1 180s
22447 5897 0.76752 79 304 0.70256 0.83889 19.4% 19.1 185s
22451 5900 0.81299 81 293 0.70256 0.83889 19.4% 19.1 190s
22454 5902 0.83703 74 288 0.70256 0.83889 19.4% 19.1 195s
22458 5905 0.74180 120 298 0.70256 0.83889 19.4% 19.1 202s
22460 5906 0.75886 27 305 0.70256 0.83889 19.4% 19.1 207s
22462 5907 0.83239 81 305 0.70256 0.83889 19.4% 19.1 211s
22466 5910 0.83081 78 311 0.70256 0.83889 19.4% 19.1 215s
22469 5912 0.83185 80 312 0.70256 0.83889 19.4% 19.0 222s
22471 5913 0.78993 84 304 0.70256 0.83889 19.4% 19.0 225s
22475 5916 0.78144 88 298 0.70256 0.83889 19.4% 19.0 231s
22479 5919 0.79585 85 300 0.70256 0.83889 19.4% 19.0 237s
22481 5920 0.83840 74 314 0.70256 0.83889 19.4% 19.0 240s
22485 5923 0.73193 41 314 0.70256 0.83889 19.4% 19.0 247s
22487 5924 0.81686 83 310 0.70256 0.83889 19.4% 19.0 250s
22491 5927 0.82532 56 315 0.70256 0.83889 19.4% 19.0 256s
22495 5929 0.81258 92 313 0.70256 0.83889 19.4% 19.0 261s
22498 5931 0.83008 76 324 0.70256 0.83889 19.4% 19.0 265s
22501 5933 0.72716 122 312 0.70256 0.83889 19.4% 19.0 271s
22504 5935 0.75628 117 314 0.70256 0.83889 19.4% 19.0 275s
22508 5938 0.82085 76 297 0.70256 0.83837 19.3% 19.0 280s
22512 5941 0.77215 80 303 0.70256 0.83813 19.3% 19.0 286s
22516 5943 0.76097 100 312 0.70256 0.83802 19.3% 19.0 290s
22520 5946 0.82503 89 310 0.70256 0.83752 19.2% 19.0 296s
22523 5948 0.77632 79 313 0.70256 0.83687 19.1% 19.0 300s
22525 5949 0.74750 46 320 0.70256 0.83656 19.1% 19.0 305s
22528 5951 0.81695 86 316 0.70256 0.83641 19.1% 19.0 310s
22532 5954 0.80556 54 314 0.70256 0.83615 19.0% 19.0 315s
22536 5957 0.82328 71 318 0.70256 0.83601 19.0% 19.0 321s
22538 5958 0.75622 96 323 0.70256 0.83599 19.0% 19.0 325s
22542 5961 0.80909 74 322 0.70256 0.83590 19.0% 19.0 330s
22545 5963 0.75970 59 323 0.70256 0.83590 19.0% 19.0 335s
22548 5965 0.78998 103 315 0.70256 0.83559 18.9% 19.0 340s
22552 5967 0.71157 51 331 0.70256 0.83544 18.9% 19.0 347s
22554 5971 0.81373 26 270 0.70256 0.83533 18.9% 22.3 358s
22556 5970 0.81330 27 270 0.70256 0.83497 18.8% 22.3 368s
22559 5971 0.81290 28 274 0.70256 0.83186 18.4% 22.3 371s
22581 5977 0.76360 32 243 0.70256 0.83176 18.4% 22.7 375s
22650 5979 cutoff 38 0.70256 0.83166 18.4% 23.2 380s
22695 5974 0.83140 30 313 0.70256 0.83157 18.4% 23.5 385s
22759 5988 0.81890 41 282 0.70256 0.83157 18.4% 24.1 392s
22844 5995 0.78945 60 241 0.70256 0.83157 18.4% 24.7 396s
22960 6020 0.74103 104 143 0.70256 0.82922 18.0% 25.3 400s
23046 6054 0.70801 148 57 0.70256 0.82912 18.0% 25.7 405s
23203 6087 infeasible 46 0.70256 0.82535 17.5% 26.9 410s
23396 6077 0.79288 40 276 0.70256 0.82451 17.4% 28.2 415s
23521 6077 0.81911 41 297 0.70256 0.82408 17.3% 29.6 420s
23657 6070 0.78036 43 257 0.70256 0.82379 17.3% 31.1 426s
23746 6056 0.81878 42 276 0.70256 0.82238 17.1% 32.4 433s
23751 6051 infeasible 43 0.70256 0.82238 17.1% 32.5 436s
23882 6009 infeasible 47 0.70256 0.82031 16.8% 34.2 441s
24037 5968 cutoff 54 0.70256 0.81994 16.7% 35.3 445s
24164 5956 0.77164 64 175 0.70256 0.81728 16.3% 36.5 450s
24411 5949 0.81511 49 246 0.70256 0.81517 16.0% 37.7 455s
24655 5965 0.78219 66 197 0.70256 0.81373 15.8% 38.9 461s
25002 5946 0.77146 57 172 0.70256 0.81316 15.7% 40.1 467s
25204 5944 0.79897 52 190 0.70256 0.80961 15.2% 40.6 471s
25371 5946 0.77033 52 195 0.70256 0.80498 14.6% 41.1 475s
25841 6002 infeasible 39 0.70256 0.80283 14.3% 42.1 481s
26006 6008 0.71479 44 225 0.70256 0.80100 14.0% 42.6 488s
H26007 5705 0.7025553 0.80100 14.0% 42.6 488s
26029 5678 cutoff 46 0.70256 0.80100 14.0% 42.8 493s
26261 5668 0.76992 51 182 0.70256 0.79985 13.8% 43.4 496s
26448 5664 0.77163 60 163 0.70256 0.79959 13.8% 44.0 500s
27204 5750 infeasible 60 0.70256 0.79627 13.3% 44.6 508s
27461 5744 0.70859 62 194 0.70256 0.79528 13.2% 45.2 512s
27569 5745 infeasible 64 0.70256 0.79528 13.2% 45.5 523s
27799 5722 0.72018 90 108 0.70256 0.79495 13.2% 45.6 529s
28266 5766 infeasible 55 0.70256 0.79068 12.5% 45.9 535s
29020 5727 cutoff 68 0.70256 0.78776 12.1% 46.8 544s
29405 5706 0.77175 60 164 0.70256 0.78631 11.9% 47.3 549s
29881 5680 0.76849 64 155 0.70256 0.78513 11.8% 47.7 555s
30377 5668 0.73804 63 165 0.70256 0.78452 11.7% 48.2 561s
30907 5654 infeasible 94 0.70256 0.78362 11.5% 48.6 567s
31449 5575 infeasible 61 0.70256 0.78227 11.3% 49.1 574s
32178 5555 infeasible 70 0.70256 0.78176 11.3% 49.3 581s
32831 5567 infeasible 61 0.70256 0.77932 10.9% 49.6 590s
33262 5513 0.76751 56 167 0.70256 0.77848 10.8% 49.9 597s
33955 5514 0.76149 61 164 0.70256 0.77712 10.6% 50.1 600s
Cutting planes:
Learned: 6
Gomory: 205
Cover: 21
Implied bound: 57
Projected implied bound: 59
Clique: 13
MIR: 368
StrongCG: 4
Flow cover: 937
Flow path: 4
Inf proof: 136
Zero half: 2
Explored 34216 nodes (1722376 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.702555 0.702555 0.702555
Time limit reached
Best objective 7.025553020356e-01, best bound 7.764748811794e-01, gap 10.5215%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa4sswm4l.pyomo.lp
Reading time = 0.02 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc6e3pkoy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.695959
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.118295e+00, 1682 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11829 0 141 0.69596 1.11829 60.7% - 0s
0 0 1.08536 0 175 0.69596 1.08536 56.0% - 0s
0 0 1.08412 0 172 0.69596 1.08412 55.8% - 0s
0 0 1.06940 0 169 0.69596 1.06940 53.7% - 0s
0 0 1.06925 0 191 0.69596 1.06925 53.6% - 0s
0 0 1.06669 0 216 0.69596 1.06669 53.3% - 0s
0 0 1.06659 0 206 0.69596 1.06659 53.3% - 0s
0 0 1.06425 0 227 0.69596 1.06425 52.9% - 0s
0 0 1.06401 0 226 0.69596 1.06401 52.9% - 0s
0 0 1.06330 0 214 0.69596 1.06330 52.8% - 0s
0 0 1.06244 0 222 0.69596 1.06244 52.7% - 0s
0 0 1.06179 0 219 0.69596 1.06179 52.6% - 0s
0 0 1.06147 0 229 0.69596 1.06147 52.5% - 0s
0 0 1.06144 0 227 0.69596 1.06144 52.5% - 0s
0 0 1.06138 0 224 0.69596 1.06138 52.5% - 0s
0 0 1.06138 0 226 0.69596 1.06138 52.5% - 0s
0 0 1.06138 0 174 0.69596 1.06138 52.5% - 1s
0 2 1.06138 0 173 0.69596 1.06138 52.5% - 1s
738 547 0.89717 50 171 0.69596 1.02218 46.9% 18.8 5s
1760 813 0.79529 46 142 0.69596 1.02218 46.9% 24.2 10s
3063 1305 infeasible 47 0.69596 0.99208 42.5% 22.9 15s
5529 2206 0.91761 40 173 0.69596 0.96230 38.3% 21.8 20s
8189 2357 0.89347 58 156 0.69596 0.90985 30.7% 19.4 25s
10702 3179 infeasible 95 0.69596 0.89179 28.1% 17.3 30s
H13163 4026 0.6959588 0.88232 26.8% 16.5 33s
13403 3997 infeasible 78 0.69596 0.87992 26.4% 16.4 35s
18079 5720 0.81550 89 117 0.69596 0.86501 24.3% 15.2 40s
21244 6659 0.75555 86 174 0.69596 0.85661 23.1% 15.2 64s
21247 6661 0.80155 75 202 0.69596 0.85661 23.1% 15.2 65s
21258 6668 0.83078 94 257 0.69596 0.85661 23.1% 15.2 70s
21265 6673 0.77986 89 260 0.69596 0.85661 23.1% 15.2 76s
21271 6677 0.71646 99 269 0.69596 0.85661 23.1% 15.2 80s
21275 6680 0.76850 93 286 0.69596 0.85661 23.1% 15.2 85s
21279 6682 0.82256 87 286 0.69596 0.85661 23.1% 15.2 91s
21285 6686 0.71897 124 293 0.69596 0.85661 23.1% 15.2 95s
21291 6690 0.75880 92 303 0.69596 0.85661 23.1% 15.2 101s
21296 6694 0.75917 164 313 0.69596 0.85661 23.1% 15.2 105s
21300 6696 0.76068 50 310 0.69596 0.85661 23.1% 15.2 110s
21304 6699 0.84111 92 296 0.69596 0.85661 23.1% 15.2 115s
21310 6703 0.80489 92 333 0.69596 0.85661 23.1% 15.2 120s
21313 6705 0.73329 121 324 0.69596 0.85661 23.1% 15.2 125s
21317 6708 0.78485 94 331 0.69596 0.85661 23.1% 15.2 130s
21322 6711 0.79959 126 341 0.69596 0.85661 23.1% 15.1 136s
21326 6714 0.77435 69 350 0.69596 0.85661 23.1% 15.1 140s
21330 6716 0.77963 99 345 0.69596 0.85661 23.1% 15.1 145s
21334 6719 0.72426 87 352 0.69596 0.85661 23.1% 15.1 150s
21339 6722 0.75954 90 343 0.69596 0.85661 23.1% 15.1 156s
21343 6725 0.80772 62 342 0.69596 0.85661 23.1% 15.1 160s
21347 6728 0.80155 75 354 0.69596 0.85661 23.1% 15.1 165s
21352 6731 0.79044 80 348 0.69596 0.85661 23.1% 15.1 171s
21356 6734 0.74954 113 338 0.69596 0.85661 23.1% 15.1 177s
21359 6736 0.75560 118 331 0.69596 0.85661 23.1% 15.1 180s
21363 6738 0.72365 30 344 0.69596 0.85661 23.1% 15.1 185s
21368 6742 0.80530 62 343 0.69596 0.85661 23.1% 15.1 190s
21372 6744 0.73689 134 339 0.69596 0.85661 23.1% 15.1 195s
21377 6748 0.82566 89 350 0.69596 0.85661 23.1% 15.1 200s
21381 6750 0.72027 86 334 0.69596 0.85661 23.1% 15.1 205s
21383 6752 0.71546 153 344 0.69596 0.85661 23.1% 15.1 210s
21385 6753 0.71897 124 340 0.69596 0.85661 23.1% 15.1 215s
21390 6756 0.79721 68 331 0.69596 0.85661 23.1% 15.1 223s
21392 6758 0.70888 98 335 0.69596 0.85661 23.1% 15.1 225s
21396 6760 0.75917 164 330 0.69596 0.85661 23.1% 15.1 231s
21400 6763 0.76068 50 336 0.69596 0.85661 23.1% 15.1 235s
21404 6766 0.84111 92 326 0.69596 0.85661 23.1% 15.1 240s
21408 6768 0.82622 93 323 0.69596 0.85661 23.1% 15.1 245s
21412 6771 0.82216 95 340 0.69596 0.85661 23.1% 15.1 252s
21415 6773 0.85036 50 336 0.69596 0.85661 23.1% 15.1 255s
21418 6775 0.82142 28 328 0.69596 0.85661 23.1% 15.1 260s
21422 6778 0.79959 126 339 0.69596 0.85661 23.1% 15.1 265s
21427 6781 0.72818 89 340 0.69596 0.85661 23.1% 15.1 270s
21431 6784 0.73775 111 334 0.69596 0.85661 23.1% 15.1 275s
21436 6787 0.71579 93 331 0.69596 0.85661 23.1% 15.1 280s
21440 6790 0.80700 33 333 0.69596 0.85661 23.1% 15.1 285s
21442 6791 0.76515 84 323 0.69596 0.85661 23.1% 15.1 290s
21447 6794 0.80155 75 338 0.69596 0.85661 23.1% 15.1 295s
21452 6798 0.79044 80 334 0.69596 0.85661 23.1% 15.1 300s
21456 6800 0.74954 113 346 0.69596 0.85661 23.1% 15.1 305s
21459 6802 0.75560 118 342 0.69596 0.85661 23.1% 15.1 310s
21464 6806 0.80183 38 339 0.69596 0.85661 23.1% 15.0 315s
21468 6808 0.80530 62 347 0.69596 0.85661 23.1% 15.0 320s
21471 6810 0.71646 99 339 0.69596 0.85661 23.1% 15.0 326s
21473 6813 0.85661 25 335 0.69596 0.85661 23.1% 19.1 341s
21475 6811 infeasible 26 0.69596 0.85661 23.1% 19.1 360s
21495 6816 0.85333 33 304 0.69596 0.85661 23.1% 19.5 365s
21569 6817 infeasible 52 0.69596 0.85661 23.1% 20.1 370s
21632 6812 0.71061 53 243 0.69596 0.85661 23.1% 21.2 375s
21748 6818 0.77268 42 282 0.69596 0.85661 23.1% 22.7 380s
21834 6813 0.85097 39 314 0.69596 0.85661 23.1% 23.8 385s
21855 6808 0.79392 42 311 0.69596 0.85661 23.1% 24.4 390s
21917 6804 infeasible 52 0.69596 0.85661 23.1% 25.5 395s
22015 6804 infeasible 47 0.69596 0.85661 23.1% 26.8 401s
22101 6804 cutoff 53 0.69596 0.85661 23.1% 27.9 406s
22148 6800 0.84497 45 269 0.69596 0.85661 23.1% 28.8 411s
22248 6819 0.77488 70 267 0.69596 0.85661 23.1% 29.8 417s
22357 6801 infeasible 46 0.69596 0.85661 23.1% 30.9 423s
22426 6805 0.85081 41 294 0.69596 0.85138 22.3% 31.6 425s
22547 6790 0.82490 40 278 0.69596 0.84820 21.9% 32.7 432s
22582 6770 cutoff 43 0.69596 0.84646 21.6% 33.7 435s
22646 6778 0.77410 39 276 0.69596 0.84646 21.6% 34.3 440s
22741 6739 0.80087 48 254 0.69596 0.84285 21.1% 35.4 447s
22818 6708 infeasible 46 0.69596 0.84264 21.1% 36.1 451s
23099 6705 0.78397 56 239 0.69596 0.83645 20.2% 37.3 461s
23108 6680 infeasible 57 0.69596 0.83645 20.2% 37.3 465s
23409 6647 0.81470 59 236 0.69596 0.82608 18.7% 38.5 472s
23630 6659 0.80553 58 225 0.69596 0.82252 18.2% 39.2 476s
23842 6638 infeasible 76 0.69596 0.82138 18.0% 39.7 481s
24402 6700 0.76298 47 243 0.69596 0.81650 17.3% 40.6 488s
24777 6809 0.71100 56 241 0.69596 0.81234 16.7% 40.6 491s
24863 6802 0.80259 58 278 0.69596 0.81192 16.7% 40.9 496s
25081 6816 0.79150 62 186 0.69596 0.81014 16.4% 41.3 500s
25447 6877 0.78020 73 186 0.69596 0.80932 16.3% 41.7 505s
25708 6878 0.72749 87 142 0.69596 0.80676 15.9% 42.3 510s
26109 6945 0.79881 56 250 0.69596 0.80503 15.7% 42.7 515s
H26115 6598 0.6959588 0.80503 15.7% 42.7 515s
26129 6573 0.71976 62 243 0.69596 0.80464 15.6% 42.7 520s
26535 6655 0.74515 74 235 0.69596 0.80279 15.3% 42.9 531s
26594 6617 cutoff 59 0.69596 0.80279 15.3% 43.0 535s
27440 6579 0.72246 88 138 0.69596 0.79748 14.6% 43.4 544s
27904 6615 0.77274 57 210 0.69596 0.79568 14.3% 43.6 550s
28413 6645 0.76117 63 205 0.69596 0.79442 14.1% 43.9 555s
29304 6652 0.74044 76 161 0.69596 0.79148 13.7% 43.6 561s
29864 6670 infeasible 74 0.69596 0.78956 13.4% 43.8 567s
30243 6636 infeasible 68 0.69596 0.78881 13.3% 44.2 572s
31009 6669 0.78532 55 259 0.69596 0.78624 13.0% 44.2 578s
31512 6601 0.76852 54 295 0.69596 0.78567 12.9% 44.5 584s
32221 6651 0.76907 68 188 0.69596 0.78409 12.7% 44.5 590s
32793 6707 0.70091 87 92 0.69596 0.78283 12.5% 44.5 599s
33355 6723 0.72088 65 174 0.69596 0.78098 12.2% 44.8 600s
Cutting planes:
Learned: 2
Gomory: 216
Cover: 23
Implied bound: 44
Projected implied bound: 75
Clique: 5
MIR: 305
StrongCG: 5
Flow cover: 911
Flow path: 7
Inf proof: 126
Zero half: 1
Explored 33473 nodes (1502784 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.695959 0.695959 0.695959
Time limit reached
Best objective 6.959588443972e-01, best bound 7.804523516590e-01, gap 12.1406%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 6
Seed for training 813
Seed for simulation 437
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-300.41604996, 189.63599719, 128.58256891]])
fopt: 0.594901889565519
fun: -0.5945137697591663
message: 'Optimization terminated successfully.'
nfev: 417
nit: 6
status: 0
success: True
x: array([ 75.99922974, 192.00138481, 133.00740543])
xopt: array([ 76., 192., 134.])
zopt: array([ 76., 268., 402.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbtbdoog5.pyomo.lp
Reading time = 0.02 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnu7kg2zi.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.594902
Presolve removed 845 rows and 525 columns
Presolve time: 0.05s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.119692e+00, 1648 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11969 0 128 0.59490 1.11969 88.2% - 0s
0 0 1.10679 0 152 0.59490 1.10679 86.0% - 0s
0 0 1.10677 0 150 0.59490 1.10677 86.0% - 0s
0 0 1.09424 0 143 0.59490 1.09424 83.9% - 0s
0 0 1.09284 0 142 0.59490 1.09284 83.7% - 0s
0 0 1.08475 0 153 0.59490 1.08475 82.3% - 0s
0 0 1.08434 0 144 0.59490 1.08434 82.3% - 0s
0 0 1.08392 0 147 0.59490 1.08392 82.2% - 0s
0 0 1.08351 0 146 0.59490 1.08351 82.1% - 0s
0 0 1.08347 0 153 0.59490 1.08347 82.1% - 0s
0 0 1.08346 0 155 0.59490 1.08346 82.1% - 0s
0 0 1.08346 0 151 0.59490 1.08346 82.1% - 0s
0 0 1.08346 0 124 0.59490 1.08346 82.1% - 0s
0 2 1.08346 0 117 0.59490 1.08346 82.1% - 1s
743 504 0.98308 17 192 0.59490 1.01091 69.9% 27.8 5s
H 1840 834 0.6078875 1.00630 65.5% 23.9 8s
H 1953 847 0.6081178 1.00104 64.6% 23.2 8s
2743 1282 infeasible 28 0.60812 0.98470 61.9% 21.5 10s
H 2744 1282 0.6081178 0.98470 61.9% 21.4 10s
6263 3200 0.86461 45 139 0.60812 0.92999 52.9% 16.7 15s
H 8625 4284 0.6081178 0.89925 47.9% 15.1 17s
H 9208 4362 0.6586439 0.88986 35.1% 15.1 19s
9308 4419 infeasible 74 0.65864 0.88955 35.1% 15.1 20s
13680 5523 0.79769 85 131 0.65864 0.84896 28.9% 14.1 25s
17968 6390 infeasible 63 0.65864 0.82520 25.3% 13.1 30s
*19475 6469 218 0.6588723 0.81826 24.2% 12.8 31s
21099 7291 0.77232 66 124 0.65887 0.81439 23.6% 12.4 54s
21106 7296 0.69067 67 230 0.65887 0.81439 23.6% 12.4 55s
21120 7305 0.80199 68 248 0.65887 0.81439 23.6% 12.4 60s
21134 7314 0.81018 80 260 0.65887 0.81439 23.6% 12.4 65s
21146 7322 0.67669 74 243 0.65887 0.81439 23.6% 12.4 70s
21160 7332 0.76697 101 242 0.65887 0.81439 23.6% 12.3 75s
21165 7335 0.76451 89 216 0.65887 0.81439 23.6% 12.3 80s
21169 7337 0.81439 26 211 0.65887 0.81439 23.6% 12.6 85s
21344 7343 0.70929 45 174 0.65887 0.81439 23.6% 12.8 90s
H21584 6980 0.6606831 0.81439 23.3% 13.1 92s
H21761 6623 0.6628063 0.81439 22.9% 13.4 94s
21925 6600 0.77856 43 165 0.66281 0.81439 22.9% 13.6 95s
H22188 6251 0.6640363 0.81439 22.6% 13.8 97s
23162 6244 0.75563 66 172 0.66404 0.80862 21.8% 14.2 100s
25834 6406 0.74647 72 124 0.66404 0.79981 20.4% 14.6 105s
28554 6647 0.69306 79 136 0.66404 0.79324 19.5% 14.6 110s
31741 6855 infeasible 65 0.66404 0.78749 18.6% 14.5 115s
H32112 6549 0.6649695 0.78464 18.0% 14.5 117s
H32200 6235 0.6650006 0.78401 17.9% 14.5 117s
33261 6134 0.73019 64 98 0.66500 0.78029 17.3% 14.6 120s
35732 6028 infeasible 66 0.66500 0.77272 16.2% 14.6 125s
38898 6068 0.73870 58 116 0.66500 0.76425 14.9% 14.6 130s
41694 6789 0.66948 76 96 0.66500 0.75718 13.9% 14.5 135s
*42907 7029 138 0.6651344 0.75382 13.3% 14.4 137s
44378 7323 infeasible 67 0.66513 0.74970 12.7% 14.4 140s
*44451 7273 144 0.6665395 0.74948 12.4% 14.4 140s
47614 8066 0.67662 67 98 0.66654 0.74257 11.4% 14.3 145s
50186 8382 infeasible 66 0.66654 0.73793 10.7% 14.3 150s
53128 8934 0.73160 71 139 0.66654 0.73318 10.0% 14.3 155s
*54944 9188 136 0.6666553 0.73086 9.63% 14.2 158s
55680 9318 0.67306 115 24 0.66666 0.72910 9.37% 14.3 160s
H57211 9463 0.6679599 0.72703 8.84% 14.2 163s
57751 9438 infeasible 96 0.66796 0.72638 8.75% 14.3 165s
59820 9481 infeasible 72 0.66796 0.72308 8.25% 14.3 170s
62306 9653 infeasible 71 0.66796 0.71839 7.55% 14.3 175s
64629 9759 infeasible 81 0.66796 0.71509 7.06% 14.4 180s
67564 9967 0.70104 67 115 0.66796 0.71095 6.44% 14.4 185s
69963 10122 0.69953 63 154 0.66796 0.70761 5.94% 14.3 190s
71725 10081 0.68467 61 148 0.66796 0.70501 5.55% 14.4 195s
74040 10095 infeasible 71 0.66796 0.70211 5.11% 14.3 200s
76305 10020 infeasible 71 0.66796 0.69954 4.73% 14.3 205s
78756 10035 0.68866 72 71 0.66796 0.69699 4.35% 14.3 210s
81080 9732 0.68172 64 144 0.66796 0.69414 3.92% 14.3 215s
82995 9425 0.68171 69 77 0.66796 0.69208 3.61% 14.3 220s
85433 9012 infeasible 76 0.66796 0.68971 3.26% 14.3 225s
87506 8609 0.67795 68 51 0.66796 0.68782 2.97% 14.2 230s
89587 8182 cutoff 72 0.66796 0.68615 2.72% 14.2 235s
92082 7591 cutoff 101 0.66796 0.68429 2.44% 14.2 240s
93661 7093 cutoff 75 0.66796 0.68303 2.26% 14.2 245s
96107 6118 cutoff 59 0.66796 0.68112 1.97% 14.1 250s
98843 5086 cutoff 79 0.66796 0.67909 1.67% 14.1 255s
101529 3736 cutoff 90 0.66796 0.67662 1.30% 14.0 260s
*102422 3308 124 0.6682362 0.67589 1.15% 14.0 261s
102512 3203 0.67504 70 119 0.66824 0.67574 1.12% 14.0 265s
105306 1661 infeasible 87 0.66824 0.67279 0.68% 13.9 270s
Cutting planes:
Learned: 7
Gomory: 182
Cover: 3
Implied bound: 39
Projected implied bound: 63
Clique: 2
MIR: 53
Flow cover: 139
Flow path: 1
Inf proof: 3
Explored 107746 nodes (1490806 simplex iterations) in 273.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.668236 0.66796 0.666655 ... 0.660683
Optimal solution found (tolerance 0.00e+00)
Best objective 6.682361750144e-01, best bound 6.682361750144e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo3j2r950.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6ppzq5cf.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.01s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.6417239e+02 1.065170e+04 0.000000e+00 0s
375 1.1837272e+01 0.000000e+00 0.000000e+00 0s
Solved in 375 iterations and 0.01 seconds
Optimal objective 1.183727151e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00294318, -0.01395032, -0.01395032]])
fopt: 3.5534126956833925
fun: -3.564461751680684
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 19.98779859, -87.9999986 , -87.9999986 ])
xopt: array([20., 0., 0.])
zopt: array([20., 20., 20.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.04049159, -0.08153512, -0.08153512]])
fopt: 2.4751405204319292
fun: -2.4816887347806267
message: 'Optimization terminated successfully.'
nfev: 218
nit: 4
status: 0
success: True
x: array([ 45.72983595, -86.17675828, -81.98187868])
xopt: array([45., 0., 0.])
zopt: array([45., 45., 45.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.05738799, 0. , 0. ]])
fopt: 2.0455473853926973
fun: -2.052718319687382
message: 'Optimization terminated successfully.'
nfev: 680
nit: 5
status: 0
success: True
x: array([62.00367499, 1. , 1. ])
xopt: array([62., 1., 1.])
zopt: array([62., 63., 64.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.11475625, 0.00274325, 0.0027611 ]])
fopt: 1.9925614260047477
fun: -2.00452681303222
message: 'Optimization terminated successfully.'
nfev: 463
nit: 5
status: 0
success: True
x: array([84.00876053, -0.97720097, -0.99999695])
xopt: array([84., 0., 0.])
zopt: array([84., 84., 84.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.30218068e-01, -7.27057282e-05, 0.00000000e+00]])
fopt: 1.8683245648286175
fun: -1.874878770493065
message: 'Optimization terminated successfully.'
nfev: 390
nit: 3
status: 0
success: True
x: array([105.04248697, 1.02290754, 1. ])
xopt: array([105., 1., 1.])
zopt: array([105., 106., 107.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.83341243e-09, -1.26889106e-10, -0.00000000e+00],
[-5.99460189e-08, 4.14857162e+00, 5.86332351e-03]])
fopt: 1.5684095848979003
fun: -1.5680529374949457
message: 'Optimization terminated successfully.'
nfev: 273
nit: 3
status: 0
success: True
x: array([106.27708765, 13.30258304, 1.00034171])
xopt: array([106., 13., 1.])
zopt: array([106., 119., 120.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1471
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1475
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.34895503e-01, 7.41560367e-04, -1.46135850e-03]])
fopt: 1.2117939461484775
fun: -1.2166576623591054
message: 'Optimization terminated successfully.'
nfev: 160
nit: 2
status: 0
success: True
x: array([183.04253581, 2.00060702, -0.97463537])
xopt: array([183., 2., 0.])
zopt: array([183., 185., 185.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.49405611e-02, 7.61454118e-05, -1.13553762e-04]])
fopt: 1.0459382785520885
fun: -1.048116214335611
message: 'Optimization terminated successfully.'
nfev: 283
nit: 3
status: 0
success: True
x: array([197.22585803, 3.00005923, -0.49185417])
xopt: array([197., 3., 0.])
zopt: array([197., 200., 200.])
*******************************************
Period: 11
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.9613158492581835
fun: -0.9573660055516747
message: 'Optimization terminated successfully.'
nfev: 255
nit: 3
status: 0
success: True
x: array([213.72364803, 2.09016994, 2.12424197])
xopt: array([213., 2., 2.])
zopt: array([213., 215., 217.])
*******************************************
Period: 12
direc: array([[ 2.82133501e-04, 1.32035903e-06, 1.32035903e-06],
[ 9.99451092e-04, 1.60978638e-03, 9.39189883e+00],
[ 1.40901687e-03, -6.95740676e+00, 1.18940493e+01]])
fopt: 0.8628213272932894
fun: -0.9662253409853214
message: 'Optimization terminated successfully.'
nfev: 454
nit: 5
status: 0
success: True
x: array([214.68316411, -18.65624638, 34.26081423])
xopt: array([214., 0., 34.])
zopt: array([214., 214., 248.])
*******************************************
Period: 13
direc: array([[ 1.12392964e-08, 5.28195120e-11, 5.84916185e-11],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.23384218e-17, 5.63334785e-14, -1.24412252e-02]])
fopt: 0.9393702572692815
fun: -0.9356882679449129
message: 'Optimization terminated successfully.'
nfev: 396
nit: 4
status: 0
success: True
x: array([213.78682803, 2.0004531 , 37.06023003])
xopt: array([213., 2., 37.])
zopt: array([213., 215., 252.])
*******************************************
Period: 14
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 47.30276153]])
fopt: 0.9108954527867597
fun: -0.9132352396526849
message: 'Optimization terminated successfully.'
nfev: 558
nit: 6
status: 0
success: True
x: array([216.01935848, 1.00809827, 52.05400274])
xopt: array([216., 1., 52.])
zopt: array([216., 217., 269.])
*******************************************
Period: 15
direc: array([[ 7.69950337e-04, 9.89895638e-01, -7.34158112e-04],
[-7.37797007e+00, 1.00003519e+00, 7.03499474e+00],
[-1.84295044e+00, 9.94428515e-01, -4.50826033e-01]])
fopt: 1.0513035095711638
fun: -1.0493474471530357
message: 'Optimization terminated successfully.'
nfev: 1064
nit: 12
status: 0
success: True
x: array([173.19858142, 14.00050283, 107.12206385])
xopt: array([173., 15., 107.])
zopt: array([173., 188., 295.])
*******************************************
Period: 16
direc: array([[-1.96561046e-01, -1.81887770e-03, 1.00000000e+00],
[-8.38861795e+01, -4.09535987e-01, 7.60516600e+01],
[-2.30144664e-01, 9.78125758e-01, 1.02222912e+00]])
fopt: 0.9000947897633041
fun: -0.8950399244626188
message: 'Optimization terminated successfully.'
nfev: 716
nit: 9
status: 0
success: True
x: array([177.21729675, 11.00085105, 89.02753499])
xopt: array([178., 12., 90.])
zopt: array([178., 190., 280.])
*******************************************
Period: 17
direc: array([[-1.19169229e-08, -7.00764781e-17, 9.95209536e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.68006276e-11, -2.32569403e-07, 2.22838469e-03]])
fopt: 0.4136194629892757
fun: -0.41156122338576473
message: 'Optimization terminated successfully.'
nfev: 410
nit: 4
status: 0
success: True
x: array([265.9355559 , 1.00040846, 4.02679185])
xopt: array([265., 1., 5.])
zopt: array([265., 266., 271.])
*******************************************
Period: 18
direc: array([[ 15.88533776, -68.17134281, 101.86767794],
[ 0. , 1. , 0. ],
[-19.53344845, 19.57294065, -29.44062476]])
fopt: 0.4357506682712762
fun: -0.797903679337423
message: 'Optimization terminated successfully.'
nfev: 995
nit: 11
status: 0
success: True
x: array([264.65884364, -67.61930375, 163.00612379])
xopt: array([264., 0., 163.])
zopt: array([264., 264., 427.])
*******************************************
Period: 19
direc: array([[5.61161383e-08, 1.35327029e-15, 2.10653684e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.27615397003867365
fun: -0.2757211271344286
message: 'Optimization terminated successfully.'
nfev: 381
nit: 3
status: 0
success: True
x: array([267.39049144, 1.00000642, 3. ])
xopt: array([267., 1., 4.])
zopt: array([267., 268., 272.])
*******************************************
Period: 20
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.80331371e-02, 1.24626767e+02]])
fopt: 0.5080308705577532
fun: -0.5194045372309685
message: 'Optimization terminated successfully.'
nfev: 475
nit: 6
status: 0
success: True
x: array([267.91870228, -3.1340223 , 136.54183724])
xopt: array([267., 0., 136.])
zopt: array([267., 267., 403.])
*******************************************
Period: 21
direc: array([[ 7.81195604e-04, -4.72624797e-06, 2.92098186e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.19060322000063065
fun: -0.19015907992334855
message: 'Optimization terminated successfully.'
nfev: 394
nit: 4
status: 0
success: True
x: array([268.44359352, -1.03779798, 3.00000292])
xopt: array([268., 0., 4.])
zopt: array([268., 268., 272.])
*******************************************
Period: 22
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 2.0719805 , 4.17585145]])
fopt: 0.37446436006413253
fun: -0.3734716852589062
message: 'Optimization terminated successfully.'
nfev: 312
nit: 5
status: 0
success: True
x: array([267.01671627, 46.44078833, 88.11966196])
xopt: array([267., 46., 88.])
zopt: array([267., 313., 401.])
*******************************************
Period: 23
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 3.19310657, 6.05183314]])
fopt: 0.4284866899211497
fun: -0.4250808100590042
message: 'Optimization terminated successfully.'
nfev: 395
nit: 6
status: 0
success: True
x: array([266.98738347, 47.01404913, 87.32328135])
xopt: array([266., 47., 88.])
zopt: array([266., 313., 401.])
*******************************************
Period: 24
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 2.00000003, 4.0266918 ]])
fopt: 0.4377322287847095
fun: -0.43826286910753304
message: 'Optimization terminated successfully.'
nfev: 499
nit: 7
status: 0
success: True
x: array([267.06182138, 45.00800003, 89.1839445 ])
xopt: array([267., 45., 89.])
zopt: array([267., 312., 401.])
*******************************************
Period: 25
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 3.01581895, 5.99767502]])
fopt: 0.4433532028934096
fun: -0.44085247663781274
message: 'Optimization terminated successfully.'
nfev: 344
nit: 5
status: 0
success: True
x: array([268.65132952, 45.02314445, 87.17292587])
xopt: array([268., 45., 88.])
zopt: array([268., 313., 401.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.18624105e-03, 1.06848499e-03],
[ 0.00000000e+00, 5.89228705e+01, -2.34785201e-02]])
fopt: 0.2877688005569448
fun: -0.28671374876353417
message: 'Optimization terminated successfully.'
nfev: 590
nit: 8
status: 0
success: True
x: array([266.27592554, 130.00943233, 4.00036568])
xopt: array([266., 130., 5.])
zopt: array([266., 396., 401.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 41.27930183, 82.15958194]])
fopt: 0.4154843928315883
fun: -0.41329557138846906
message: 'Optimization terminated successfully.'
nfev: 394
nit: 5
status: 0
success: True
x: array([269.57670632, 44.00035211, 87.15345489])
xopt: array([269., 44., 88.])
zopt: array([269., 313., 401.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 42.15916241, 84.4087396 ]])
fopt: 0.4339611071232932
fun: -0.4305233846355779
message: 'Optimization terminated successfully.'
nfev: 277
nit: 4
status: 0
success: True
x: array([268.67131029, 44.07817308, 88.56796132])
xopt: array([268., 44., 89.])
zopt: array([268., 312., 401.])
*******************************************
Period: 29
direc: array([[-1.38988736e-04, -1.25469878e-04, 4.81221584e-07],
[ 2.26179322e-09, -1.10662811e-07, -1.91260725e-09],
[ 4.52359927e-09, 9.89999779e-01, -3.82522103e-09]])
fopt: 0.734203654222995
fun: -0.7315332019958368
message: 'Optimization terminated successfully.'
nfev: 757
nit: 10
status: 0
success: True
x: array([ 86.99842507, 171.00143189, 102.15679795])
xopt: array([ 87., 172., 103.])
zopt: array([ 87., 259., 362.])
*******************************************
Period: 30
direc: array([[-3.05790148e+01, 8.77865853e+01, 5.10697028e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.35249274e-06, -4.92196056e-09, -9.79629410e-11]])
fopt: 0.8223912195201868
fun: -0.8220397307728865
message: 'Optimization terminated successfully.'
nfev: 580
nit: 8
status: 0
success: True
x: array([ 85.99201651, 193.00063622, 122.16403492])
xopt: array([ 86., 193., 122.])
zopt: array([ 86., 279., 401.])
*******************************************
Period: 31
direc: array([[ 1.05427601e-03, 2.71403492e+01, 0.00000000e+00],
[-8.15523544e+00, 6.01283111e+00, 2.97635140e+00],
[ 1.68399946e-05, -1.24424422e-14, -6.15653921e-15]])
fopt: 0.7502343796274774
fun: -0.7489200801555901
message: 'Optimization terminated successfully.'
nfev: 1129
nit: 14
status: 0
success: True
x: array([ 86. , 231. , 84.63287963])
xopt: array([ 86., 231., 84.])
zopt: array([ 86., 317., 401.])
*******************************************
Period: 32
direc: array([[ 1.66486129e-02, -7.67145132e-03, -8.46910812e-03],
[-6.54943440e+01, 9.82415026e+01, 7.30097096e-06],
[ 4.33493217e-02, 3.32418472e+01, -8.25511551e-09]])
fopt: 0.7356381905904377
fun: -0.7329893720719767
message: 'Optimization terminated successfully.'
nfev: 1111
nit: 16
status: 0
success: True
x: array([ 86.58271822, 240.00001825, 74.0000019 ])
xopt: array([ 86., 240., 75.])
zopt: array([ 86., 326., 401.])
*******************************************
Period: 33
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.24550238e+02, 9.10091686e+01, 1.86454263e+02],
[-2.01163123e+00, 1.99999910e+00, -1.84516614e-06]])
fopt: 0.8915625230786578
fun: -0.8901525829358491
message: 'Optimization terminated successfully.'
nfev: 697
nit: 9
status: 0
success: True
x: array([ 86.48718035, 111.00000969, 208.00707741])
xopt: array([ 86., 112., 208.])
zopt: array([ 86., 198., 406.])
*******************************************
Period: 34
direc: array([[ 2.89275712e+01, 1.00381652e+01, -8.13674425e-02],
[ 3.90055513e-05, 1.00000699e+00, -5.38636158e-08],
[-9.36537354e+00, 4.91358176e+01, 3.47016763e+01]])
fopt: 0.734633919675923
fun: -0.7330140485251598
message: 'Optimization terminated successfully.'
nfev: 852
nit: 11
status: 0
success: True
x: array([128.20020869, 134.00053136, 139.70680234])
xopt: array([128., 134., 139.])
zopt: array([128., 262., 401.])
*******************************************
Period: 35
direc: array([[-5.38453808e-02, 1.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.47328080e+02, 1.83117241e+02, 1.22078161e+02]])
fopt: 0.7820271995024178
fun: -0.7820760518150294
message: 'Optimization terminated successfully.'
nfev: 382
nit: 5
status: 0
success: True
x: array([ 85.62383475, 189.00026343, 127.00060862])
xopt: array([ 86., 189., 127.])
zopt: array([ 86., 275., 402.])
*******************************************
Period: 36
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.14777467, 47.10321046, 30.2086517 ]])
fopt: 0.7903143242179783
fun: -0.7899486512211539
message: 'Optimization terminated successfully.'
nfev: 439
nit: 7
status: 0
success: True
x: array([ 85.99858511, 187.0591877 , 128.23229426])
xopt: array([ 86., 187., 129.])
zopt: array([ 86., 273., 402.])
*******************************************
Period: 37
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-168.86763903, 58.04858355, 111.09416216]])
fopt: 0.8620477311154513
fun: -0.8601187435369769
message: 'Optimization terminated successfully.'
nfev: 453
nit: 7
status: 0
success: True
x: array([ 91.99945146, 109.00083501, 204.00030005])
xopt: array([ 91., 110., 205.])
zopt: array([ 91., 201., 406.])
*******************************************
Period: 38
direc: array([[ 1. , 0. , 0. ],
[ -5.66029934, 3.00691747, 6.02854417],
[ -1.40913755, -2.90467019, -18.45231736]])
fopt: 0.8401292403171663
fun: -0.8398569315883624
message: 'Optimization terminated successfully.'
nfev: 525
nit: 8
status: 0
success: True
x: array([ 93.00000024, 105. , 234.02369505])
xopt: array([ 93., 106., 234.])
zopt: array([ 93., 199., 433.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-247.97098499, 109.30792717, 217.09221279]])
fopt: 0.8524313222617351
fun: -0.8505632222522858
message: 'Optimization terminated successfully.'
nfev: 380
nit: 5
status: 0
success: True
x: array([ 88.99999797, 112. , 222.09297779])
xopt: array([ 88., 113., 222.])
zopt: array([ 88., 201., 423.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-47.27061966, 47.2818085 , 89.56570402]])
fopt: 0.8442480948317095
fun: -0.8425729734423737
message: 'Optimization terminated successfully.'
nfev: 374
nit: 6
status: 0
success: True
x: array([ 92.99979985, 108.00120012, 207.10601934])
xopt: array([ 92., 109., 207.])
zopt: array([ 92., 201., 408.])
*******************************************
Period: 41
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-6.1256642 , 8.04994978, 5.36663319]])
fopt: 0.7506877639433109
fun: -0.749560594969691
message: 'Optimization terminated successfully.'
nfev: 432
nit: 8
status: 0
success: True
x: array([ 85.99999592, 198.0000021 , 131.38762868])
xopt: array([ 86., 198., 132.])
zopt: array([ 86., 284., 416.])
*******************************************
Period: 42
direc: array([[-1.94141890e+02, 5.14578565e+01, 1.03028507e+02],
[-2.30578044e-02, -1.09231108e-02, -6.52196659e-03],
[ 2.04157638e-03, 9.99909315e-01, -5.87415765e-04]])
fopt: 0.8322359463987443
fun: -0.8264485734654092
message: 'Optimization terminated successfully.'
nfev: 995
nit: 13
status: 0
success: True
x: array([ 86.10317364, 120.00003535, 189.00443552])
xopt: array([ 87., 121., 190.])
zopt: array([ 87., 208., 398.])
*******************************************
Period: 43
direc: array([[ -37.42480846, 36.178746 , 72.54805799],
[ 0. , 1. , 0. ],
[-165.28675753, 61.75474678, 125.58624688]])
fopt: 0.8087205840527557
fun: -0.8074384034923594
message: 'Optimization terminated successfully.'
nfev: 641
nit: 8
status: 0
success: True
x: array([113.67564018, 88.00000005, 210.09097436])
xopt: array([113., 88., 210.])
zopt: array([113., 201., 411.])
*******************************************
Period: 44
direc: array([[ 1. , 0. , 0. ],
[-131.85297407, 127.4629171 , 84.97527807],
[ -0. , -0. , -0. ]])
fopt: 0.7474685671500002
fun: -0.74665956749518
message: 'Optimization terminated successfully.'
nfev: 483
nit: 8
status: 0
success: True
x: array([ 86.01209703, 194.00194942, 134.20481609])
xopt: array([ 86., 194., 135.])
zopt: array([ 86., 280., 415.])
*******************************************
Period: 45
direc: array([[-18.28077027, 6.01595335, 4.01063557],
[ 0. , 1. , 0. ],
[ 6.31657401, 53.14274176, 34.01848092]])
fopt: 0.7326367113922253
fun: -0.7301510390977479
message: 'Optimization terminated successfully.'
nfev: 479
nit: 7
status: 0
success: True
x: array([ 89.00393621, 187.60071759, 125.03029776])
xopt: array([ 89., 187., 126.])
zopt: array([ 89., 276., 402.])
*******************************************
Period: 46
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3083147129508194
fun: -0.30831471051936754
message: 'Optimization terminated successfully.'
nfev: 317
nit: 3
status: 0
success: True
x: array([396.99999612, 2. , 2. ])
xopt: array([397., 2., 2.])
zopt: array([397., 399., 401.])
*******************************************
Period: 47
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.4165596 , 4.86307604, 3.08997612]])
fopt: 0.7312436069245981
fun: -0.7314915813009581
message: 'Optimization terminated successfully.'
nfev: 508
nit: 8
status: 0
success: True
x: array([ 85.99898772, 188.00039771, 127.02201454])
xopt: array([ 86., 188., 127.])
zopt: array([ 86., 274., 401.])
*******************************************
Period: 48
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00228485, -0. , -0. ]])
fopt: 0.3241897184403978
fun: -0.3241897184356786
message: 'Optimization terminated successfully.'
nfev: 418
nit: 3
status: 0
success: True
x: array([398.99999999, 1. , 1. ])
xopt: array([399., 1., 1.])
zopt: array([399., 400., 401.])
*******************************************
Period: 49
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00837228, -0. , -0. ]])
fopt: 0.32731223559472616
fun: -0.32731223547013866
message: 'Optimization terminated successfully.'
nfev: 369
nit: 3
status: 0
success: True
x: array([397.99999975, 1. , 2. ])
xopt: array([398., 1., 2.])
zopt: array([398., 399., 401.])
*******************************************
Period: 50
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.79234438e-11, 4.44089210e-16, -6.40643094e-11]])
fopt: 0.3307336904523813
fun: -0.3306642169457564
message: 'Optimization terminated successfully.'
nfev: 622
nit: 6
status: 0
success: True
x: array([394.92285196, 2.00002129, 5.00383486])
xopt: array([394., 2., 5.])
zopt: array([394., 396., 401.])
*******************************************
Period: 51
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.32304205367171945
fun: -0.32155738874936074
message: 'Optimization terminated successfully.'
nfev: 240
nit: 3
status: 0
success: True
x: array([395.99984252, 2. , 3.00000752])
xopt: array([395., 2., 4.])
zopt: array([395., 397., 401.])
*******************************************
Period: 52
direc: array([[ 0.25986307, 0. , 1. ],
[ 0. , 1. , 0. ],
[-194.89501628, 0. , 225.39454623]])
fopt: 0.6826484631439038
fun: -0.6828354043640849
message: 'Optimization terminated successfully.'
nfev: 598
nit: 7
status: 0
success: True
x: array([196.59796948, 4.00299731, 207.00000001])
xopt: array([196., 5., 207.])
zopt: array([196., 201., 408.])
*******************************************
Period: 53
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-11.06548176, -4.46787509, 22.98384225]])
fopt: 0.399631525632863
fun: -0.6316936647495608
message: 'Optimization terminated successfully.'
nfev: 722
nit: 9
status: 0
success: True
x: array([265.06852912, -64.06852898, 207. ])
xopt: array([265., 0., 207.])
zopt: array([265., 265., 472.])
*******************************************
Period: 54
direc: array([[-1.99306096, 0.00314055, 2.00000003],
[ 0. , 1. , 0. ],
[ 0. , 0. , -0.08394152]])
fopt: 0.6623816909585852
fun: -0.6625510344859475
message: 'Optimization terminated successfully.'
nfev: 649
nit: 8
status: 0
success: True
x: array([200.32103475, 1.00004054, 208.20044993])
xopt: array([200., 1., 208.])
zopt: array([200., 201., 409.])
*******************************************
Period: 55
direc: array([[-1.98295661e+02, 0.00000000e+00, 1.38030940e+02],
[ 8.81938151e-05, 8.60430646e-03, 1.73817091e-02],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.5350490548594165
fun: -0.5332125684219443
message: 'Optimization terminated successfully.'
nfev: 637
nit: 7
status: 0
success: True
x: array([193.98390203, 5.01927719, 149.00003484])
xopt: array([194., 6., 150.])
zopt: array([194., 200., 350.])
*******************************************
Period: 56
direc: array([[ 3.05995726, 2.00015117, -1.98037526],
[-209.49891321, 0. , 193.2938574 ],
[ 1.44239983, 5.05017156, 4.99990792]])
fopt: 0.6604287828065101
fun: -0.6601862255919733
message: 'Optimization terminated successfully.'
nfev: 898
nit: 10
status: 0
success: True
x: array([187.63939519, 13.00121389, 207.26590976])
xopt: array([187., 14., 207.])
zopt: array([187., 201., 408.])
*******************************************
Period: 57
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-2.00624945, 0.0082421 , 2.00000003]])
fopt: 0.6471526657411417
fun: -0.6468462724945571
message: 'Optimization terminated successfully.'
nfev: 316
nit: 5
status: 0
success: True
x: array([201.54265286, -0.54265286, 207.00002924])
xopt: array([201., 0., 207.])
zopt: array([201., 201., 408.])
*******************************************
Period: 58
direc: array([[ -1.01781317, 0. , 2.0183008 ],
[ 0. , 1. , 0. ],
[-127.31220418, 0. , 131.93041804]])
fopt: 0.6223925986372548
fun: -0.6218369583612593
message: 'Optimization terminated successfully.'
nfev: 546
nit: 6
status: 0
success: True
x: array([200.77715725, 2.00017307, 226.00069085])
xopt: array([200., 2., 226.])
zopt: array([200., 202., 428.])
*******************************************
Period: 59
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.93056624, 0. , 2.00000003]])
fopt: 0.6408927632839166
fun: -0.6407640328112765
message: 'Optimization terminated successfully.'
nfev: 409
nit: 5
status: 0
success: True
x: array([199.94526453, 2.00339656, 206.00001351])
xopt: array([199., 2., 207.])
zopt: array([199., 201., 408.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzj5hhxt6.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk31hho7w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.04321
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.04321
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqtaz77pi.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp94f9nuih.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.50639
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.475141e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.4751405 2.47514 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.47514 1.50639
Optimal solution found (tolerance 1.00e-02)
Best objective 2.475140520432e+00, best bound 2.475140520432e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmparvf084w.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy20ev2vj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31182
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 2.486502e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.48650 0 6 1.31182 2.48650 89.5% - 0s
H 0 0 2.0499892 2.48650 21.3% - 0s
0 0 2.16755 0 1 2.04999 2.16755 5.73% - 0s
0 0 cutoff 0 2.04999 2.04999 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 1
StrongCG: 1
Flow cover: 1
Flow path: 1
Explored 1 nodes (31 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.04999 1.31182
Optimal solution found (tolerance 1.00e-02)
Best objective 2.049989151262e+00, best bound 2.049989151262e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0q34mbpy.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm1vtocic.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.34971
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 2.360338e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.36034 0 8 1.34971 2.36034 74.9% - 0s
H 0 0 1.9925614 2.36034 18.5% - 0s
0 0 cutoff 0 1.99256 1.99256 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 4
Flow cover: 2
Flow path: 1
Explored 1 nodes (41 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.99256 1.34971
Optimal solution found (tolerance 1.00e-02)
Best objective 1.992561426005e+00, best bound 1.992561426005e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeoeyvlpc.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjfmt_5oc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41429
Presolve removed 145 rows and 100 columns
Presolve time: 0.00s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 2.432057e+00, 51 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.43206 0 3 1.41429 2.43206 72.0% - 0s
H 0 0 1.9914917 2.43206 22.1% - 0s
0 0 cutoff 0 1.99149 1.99149 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (65 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.99149 1.41429
Optimal solution found (tolerance 1.00e-02)
Best objective 1.991491682338e+00, best bound 1.991491682338e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6helmwdl.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8a__r796.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.61184
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.166132e+00, 91 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16613 0 5 1.61184 2.16613 34.4% - 0s
H 0 0 1.6891707 2.16613 28.2% - 0s
0 0 1.69912 0 1 1.68917 1.69912 0.59% - 0s
Cutting planes:
Gomory: 5
Flow cover: 5
Explored 1 nodes (129 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.68917 1.61184
Optimal solution found (tolerance 1.00e-02)
Best objective 1.689170736399e+00, best bound 1.699124597870e+00, gap 0.5893%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw_i4qblb.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphfwl7ft2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35801
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.537625e+00, 124 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.53763 0 9 1.35801 2.53763 86.9% - 0s
0 0 2.27467 0 21 1.35801 2.27467 67.5% - 0s
0 0 2.27365 0 16 1.35801 2.27365 67.4% - 0s
0 0 2.02057 0 8 1.35801 2.02057 48.8% - 0s
0 0 2.01994 0 11 1.35801 2.01994 48.7% - 0s
0 0 1.99044 0 14 1.35801 1.99044 46.6% - 0s
0 0 1.97899 0 8 1.35801 1.97899 45.7% - 0s
0 0 1.97876 0 9 1.35801 1.97876 45.7% - 0s
0 0 1.97876 0 9 1.35801 1.97876 45.7% - 0s
0 2 1.97876 0 9 1.35801 1.97876 45.7% - 0s
H 4 5 1.4512928 1.88572 29.9% 7.0 0s
H 9 7 1.7500970 1.80136 2.93% 6.7 0s
Cutting planes:
Gomory: 7
Implied bound: 5
MIR: 1
Flow cover: 17
Explored 11 nodes (312 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.7501 1.45129 1.35801
Optimal solution found (tolerance 1.00e-02)
Best objective 1.750096986414e+00, best bound 1.766506810664e+00, gap 0.9377%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_jns1_ox.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp41w3trkw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.46153
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.405441e+00, 141 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.40544 0 11 1.46153 2.40544 64.6% - 0s
0 0 2.04091 0 19 1.46153 2.04091 39.6% - 0s
0 0 1.92926 0 12 1.46153 1.92926 32.0% - 0s
0 0 1.92689 0 12 1.46153 1.92689 31.8% - 0s
0 0 1.92624 0 12 1.46153 1.92624 31.8% - 0s
0 0 1.92575 0 12 1.46153 1.92575 31.8% - 0s
0 0 1.90850 0 12 1.46153 1.90850 30.6% - 0s
0 0 1.90850 0 12 1.46153 1.90850 30.6% - 0s
0 2 1.90850 0 12 1.46153 1.90850 30.6% - 0s
H 9 7 1.6585254 1.88230 13.5% 4.9 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 5
MIR: 1
Flow cover: 18
Explored 30 nodes (396 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.65853 1.46153
Optimal solution found (tolerance 1.00e-02)
Best objective 1.658525378742e+00, best bound 1.658525378742e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3yekp8cu.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpij1zs_6g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37914
Presolve removed 179 rows and 116 columns
Presolve time: 0.00s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.396502e+00, 178 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.39650 0 13 1.37914 2.39650 73.8% - 0s
0 0 2.00502 0 18 1.37914 2.00502 45.4% - 0s
0 0 1.94482 0 13 1.37914 1.94482 41.0% - 0s
0 0 1.93058 0 10 1.37914 1.93058 40.0% - 0s
0 0 1.92743 0 11 1.37914 1.92743 39.8% - 0s
0 0 1.89411 0 14 1.37914 1.89411 37.3% - 0s
0 0 1.89066 0 16 1.37914 1.89066 37.1% - 0s
0 0 1.87002 0 22 1.37914 1.87002 35.6% - 0s
0 0 1.86777 0 18 1.37914 1.86777 35.4% - 0s
0 0 1.86080 0 16 1.37914 1.86080 34.9% - 0s
0 0 1.86080 0 16 1.37914 1.86080 34.9% - 0s
0 0 1.86080 0 16 1.37914 1.86080 34.9% - 0s
0 0 1.86080 0 16 1.37914 1.86080 34.9% - 0s
0 2 1.86080 0 16 1.37914 1.86080 34.9% - 0s
* 32 19 12 1.3818937 1.76974 28.1% 7.0 0s
* 45 14 16 1.6050574 1.76974 10.3% 6.4 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 13
MIR: 1
Flow cover: 21
Inf proof: 1
Explored 99 nodes (987 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.60506 1.38189 1.37914
Optimal solution found (tolerance 1.00e-02)
Best objective 1.605057371066e+00, best bound 1.605057371066e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkis40tmy.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpraux542z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39547
Presolve removed 194 rows and 125 columns
Presolve time: 0.00s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.217064e+00, 180 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21706 0 15 1.39547 2.21706 58.9% - 0s
0 0 1.81207 0 24 1.39547 1.81207 29.9% - 0s
0 0 1.80800 0 18 1.39547 1.80800 29.6% - 0s
0 0 1.77207 0 23 1.39547 1.77207 27.0% - 0s
0 0 1.77204 0 23 1.39547 1.77204 27.0% - 0s
0 0 1.76935 0 24 1.39547 1.76935 26.8% - 0s
0 0 1.76472 0 23 1.39547 1.76472 26.5% - 0s
0 0 1.73039 0 26 1.39547 1.73039 24.0% - 0s
0 0 1.73037 0 26 1.39547 1.73037 24.0% - 0s
0 0 1.72551 0 25 1.39547 1.72551 23.7% - 0s
0 0 1.72551 0 25 1.39547 1.72551 23.7% - 0s
0 0 1.70985 0 26 1.39547 1.70985 22.5% - 0s
0 0 1.70985 0 26 1.39547 1.70985 22.5% - 0s
0 0 1.70985 0 26 1.39547 1.70985 22.5% - 0s
0 0 1.70985 0 25 1.39547 1.70985 22.5% - 0s
0 2 1.70985 0 24 1.39547 1.70985 22.5% - 0s
H 28 10 1.4596872 1.53519 5.17% 7.4 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 9
MIR: 4
Flow cover: 19
Explored 66 nodes (740 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.45969 1.39547
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (4.6576e-06) exceeds tolerance
Best objective 1.459687174895e+00, best bound 1.459687174895e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjysy8zf5.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt99619s1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28014
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.256229e+00, 210 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.25623 0 15 1.28014 2.25623 76.2% - 0s
0 0 1.87505 0 20 1.28014 1.87505 46.5% - 0s
0 0 1.82505 0 31 1.28014 1.82505 42.6% - 0s
0 0 1.82350 0 31 1.28014 1.82350 42.4% - 0s
0 0 1.82303 0 32 1.28014 1.82303 42.4% - 0s
0 0 1.80971 0 29 1.28014 1.80971 41.4% - 0s
0 0 1.80971 0 29 1.28014 1.80971 41.4% - 0s
0 0 1.79562 0 36 1.28014 1.79562 40.3% - 0s
0 0 1.79562 0 36 1.28014 1.79562 40.3% - 0s
0 0 1.78905 0 27 1.28014 1.78905 39.8% - 0s
0 0 1.78904 0 29 1.28014 1.78904 39.8% - 0s
0 0 1.78901 0 28 1.28014 1.78901 39.8% - 0s
0 0 1.78901 0 22 1.28014 1.78901 39.8% - 0s
0 2 1.78901 0 21 1.28014 1.78901 39.8% - 0s
* 62 28 19 1.4093972 1.70233 20.8% 5.9 0s
* 122 28 21 1.4584135 1.62797 11.6% 6.1 0s
Cutting planes:
Gomory: 9
Cover: 3
Implied bound: 10
MIR: 6
Flow cover: 27
Network: 1
Explored 200 nodes (1706 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.45841 1.4094 1.28014
Optimal solution found (tolerance 1.00e-02)
Best objective 1.458413516932e+00, best bound 1.471673631008e+00, gap 0.9092%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqkxiy2pf.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwm_qxmqw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31942
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.096842e+00, 259 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09684 0 18 1.31942 2.09684 58.9% - 0s
0 0 1.72756 0 19 1.31942 1.72756 30.9% - 0s
0 0 1.72756 0 19 1.31942 1.72756 30.9% - 0s
0 0 1.71170 0 37 1.31942 1.71170 29.7% - 0s
0 0 1.71170 0 38 1.31942 1.71170 29.7% - 0s
0 0 1.69471 0 38 1.31942 1.69471 28.4% - 0s
0 0 1.69471 0 38 1.31942 1.69471 28.4% - 0s
0 0 1.66860 0 42 1.31942 1.66860 26.5% - 0s
0 0 1.66563 0 42 1.31942 1.66563 26.2% - 0s
0 0 1.66148 0 44 1.31942 1.66148 25.9% - 0s
0 0 1.66141 0 43 1.31942 1.66141 25.9% - 0s
0 0 1.65941 0 45 1.31942 1.65941 25.8% - 0s
0 0 1.65941 0 45 1.31942 1.65941 25.8% - 0s
0 2 1.65941 0 36 1.31942 1.65941 25.8% - 0s
* 123 16 22 1.3515152 1.40338 3.84% 5.3 0s
Cutting planes:
Gomory: 8
Implied bound: 12
MIR: 2
Flow cover: 31
Explored 198 nodes (1482 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35152 1.31942
Optimal solution found (tolerance 1.00e-02)
Best objective 1.351515215467e+00, best bound 1.351515215467e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps3ur7oxs.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1ndbphqj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20671
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.151861e+00, 291 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15186 0 20 1.20671 2.15186 78.3% - 0s
0 0 1.78672 0 24 1.20671 1.78672 48.1% - 0s
0 0 1.78672 0 30 1.20671 1.78672 48.1% - 0s
0 0 1.76926 0 35 1.20671 1.76926 46.6% - 0s
0 0 1.76627 0 35 1.20671 1.76627 46.4% - 0s
0 0 1.76296 0 37 1.20671 1.76296 46.1% - 0s
0 0 1.76244 0 39 1.20671 1.76244 46.1% - 0s
0 0 1.76081 0 38 1.20671 1.76081 45.9% - 0s
0 0 1.73711 0 37 1.20671 1.73711 44.0% - 0s
0 0 1.73056 0 37 1.20671 1.73056 43.4% - 0s
0 0 1.72890 0 38 1.20671 1.72890 43.3% - 0s
0 0 1.72878 0 37 1.20671 1.72878 43.3% - 0s
0 0 1.72398 0 38 1.20671 1.72398 42.9% - 0s
0 0 1.72397 0 40 1.20671 1.72397 42.9% - 0s
0 0 1.72387 0 40 1.20671 1.72387 42.9% - 0s
0 0 1.72387 0 40 1.20671 1.72387 42.9% - 0s
0 2 1.72387 0 39 1.20671 1.72387 42.9% - 0s
* 176 86 31 1.2857754 1.60101 24.5% 5.4 0s
* 229 98 32 1.2980630 1.55645 19.9% 5.4 0s
* 277 102 30 1.3073398 1.51162 15.6% 5.3 0s
* 395 130 33 1.3142733 1.48326 12.9% 5.1 0s
* 397 130 32 1.3192607 1.48326 12.4% 5.1 0s
* 477 118 26 1.3281549 1.47489 11.0% 4.9 0s
* 493 110 31 1.3382146 1.47489 10.2% 4.9 0s
* 560 72 29 1.3609378 1.45902 7.21% 4.8 0s
* 691 0 29 1.3709570 1.40039 2.15% 4.5 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 17
MIR: 5
Flow cover: 30
Inf proof: 3
Explored 718 nodes (3831 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 1.37096 1.36094 1.33821 ... 1.20671
Optimal solution found (tolerance 1.00e-02)
Best objective 1.370956968488e+00, best bound 1.370956968488e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjelxmfi8.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0qoy0vjj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22356
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.097323e+00, 350 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09732 0 23 1.22356 2.09732 71.4% - 0s
0 0 1.69938 0 21 1.22356 1.69938 38.9% - 0s
0 0 1.69662 0 24 1.22356 1.69662 38.7% - 0s
0 0 1.69621 0 24 1.22356 1.69621 38.6% - 0s
0 0 1.68621 0 25 1.22356 1.68621 37.8% - 0s
0 0 1.68419 0 26 1.22356 1.68419 37.6% - 0s
0 0 1.66899 0 33 1.22356 1.66899 36.4% - 0s
0 0 1.66409 0 31 1.22356 1.66409 36.0% - 0s
0 0 1.66004 0 33 1.22356 1.66004 35.7% - 0s
0 0 1.64754 0 34 1.22356 1.64754 34.7% - 0s
0 0 1.64631 0 30 1.22356 1.64631 34.6% - 0s
0 0 1.64148 0 34 1.22356 1.64148 34.2% - 0s
0 0 1.64147 0 38 1.22356 1.64147 34.2% - 0s
0 0 1.64139 0 38 1.22356 1.64139 34.1% - 0s
0 0 1.64139 0 38 1.22356 1.64139 34.1% - 0s
0 2 1.64139 0 33 1.22356 1.64139 34.1% - 0s
* 199 102 33 1.2252992 1.51757 23.9% 5.4 0s
* 354 154 34 1.2878551 1.48675 15.4% 5.2 0s
* 745 137 27 1.3222752 1.45429 10.0% 5.3 0s
Cutting planes:
Gomory: 14
Cover: 8
Implied bound: 16
MIR: 7
Flow cover: 38
Inf proof: 19
Explored 1154 nodes (7663 simplex iterations) in 0.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.32228 1.28786 1.2253 1.22356
Optimal solution found (tolerance 1.00e-02)
Best objective 1.322275241243e+00, best bound 1.333480530328e+00, gap 0.8474%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9q_hntvl.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9ik0gs9k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21064
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.014665e+00, 378 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01466 0 26 1.21064 2.01466 66.4% - 0s
0 0 1.63632 0 24 1.21064 1.63632 35.2% - 0s
0 0 1.63632 0 24 1.21064 1.63632 35.2% - 0s
0 0 1.63218 0 26 1.21064 1.63218 34.8% - 0s
0 0 1.63166 0 27 1.21064 1.63166 34.8% - 0s
0 0 1.62229 0 28 1.21064 1.62229 34.0% - 0s
0 0 1.62143 0 29 1.21064 1.62143 33.9% - 0s
0 0 1.62131 0 32 1.21064 1.62131 33.9% - 0s
0 0 1.60717 0 35 1.21064 1.60717 32.8% - 0s
0 0 1.60628 0 37 1.21064 1.60628 32.7% - 0s
0 0 1.60628 0 37 1.21064 1.60628 32.7% - 0s
0 2 1.60628 0 31 1.21064 1.60628 32.7% - 0s
* 230 91 43 1.2394174 1.43898 16.1% 6.4 0s
* 233 88 43 1.2458039 1.43898 15.5% 6.4 0s
* 450 102 40 1.2588148 1.38157 9.75% 5.7 0s
* 522 95 31 1.2734925 1.36805 7.43% 5.5 0s
* 573 99 38 1.2791140 1.35607 6.02% 5.3 0s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 14
MIR: 5
Flow cover: 27
Flow path: 1
Inf proof: 3
Explored 762 nodes (4504 simplex iterations) in 0.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.27911 1.27349 1.25881 ... 1.21064
Optimal solution found (tolerance 1.00e-02)
Best objective 1.279113991240e+00, best bound 1.279113991240e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps2p55wf_.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpglrhcn4q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15708
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.019171e+00, 356 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01917 0 27 1.15708 2.01917 74.5% - 0s
0 0 1.64918 0 23 1.15708 1.64918 42.5% - 0s
0 0 1.64918 0 22 1.15708 1.64918 42.5% - 0s
0 0 1.64118 0 34 1.15708 1.64118 41.8% - 0s
0 0 1.64025 0 36 1.15708 1.64025 41.8% - 0s
0 0 1.63868 0 34 1.15708 1.63868 41.6% - 0s
0 0 1.63860 0 35 1.15708 1.63860 41.6% - 0s
0 0 1.63164 0 44 1.15708 1.63164 41.0% - 0s
0 0 1.63156 0 44 1.15708 1.63156 41.0% - 0s
0 0 1.61616 0 36 1.15708 1.61616 39.7% - 0s
0 0 1.61615 0 37 1.15708 1.61615 39.7% - 0s
0 0 1.61540 0 37 1.15708 1.61540 39.6% - 0s
0 0 1.61540 0 29 1.15708 1.61540 39.6% - 0s
0 2 1.61540 0 29 1.15708 1.61540 39.6% - 0s
* 452 169 34 1.1621305 1.42452 22.6% 6.0 0s
* 986 207 28 1.1831304 1.37954 16.6% 5.9 0s
* 1086 205 33 1.1852904 1.36789 15.4% 5.8 0s
* 1192 123 33 1.2336348 1.34581 9.09% 5.6 0s
* 1293 80 37 1.2477450 1.30261 4.40% 5.4 0s
Cutting planes:
Gomory: 13
Cover: 7
Implied bound: 19
MIR: 7
Flow cover: 34
Inf proof: 20
Explored 1401 nodes (8095 simplex iterations) in 0.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.24775 1.23363 1.18529 ... 1.15708
Optimal solution found (tolerance 1.00e-02)
Best objective 1.247745025813e+00, best bound 1.258005872654e+00, gap 0.8224%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp242wgu0t.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjuc3c41z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14485
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.958515e+00, 400 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95852 0 29 1.14485 1.95852 71.1% - 0s
0 0 1.59369 0 41 1.14485 1.59369 39.2% - 0s
0 0 1.59357 0 35 1.14485 1.59357 39.2% - 0s
0 0 1.59136 0 37 1.14485 1.59136 39.0% - 0s
0 0 1.59125 0 40 1.14485 1.59125 39.0% - 0s
0 0 1.58019 0 41 1.14485 1.58019 38.0% - 0s
0 0 1.58019 0 44 1.14485 1.58019 38.0% - 0s
0 0 1.57105 0 53 1.14485 1.57105 37.2% - 0s
0 0 1.57061 0 54 1.14485 1.57061 37.2% - 0s
0 0 1.57055 0 56 1.14485 1.57055 37.2% - 0s
0 0 1.57055 0 49 1.14485 1.57055 37.2% - 0s
0 2 1.57055 0 43 1.14485 1.57055 37.2% - 0s
* 998 232 36 1.1532975 1.30460 13.1% 7.2 0s
* 1117 206 37 1.1720202 1.29346 10.4% 7.0 0s
* 1298 196 34 1.1840373 1.27458 7.65% 6.7 0s
* 1522 89 44 1.1853004 1.23829 4.47% 6.4 0s
* 1587 51 38 1.1910175 1.22692 3.01% 6.3 0s
* 1630 2 40 1.1973176 1.22295 2.14% 6.3 0s
Cutting planes:
Gomory: 15
Cover: 1
Implied bound: 20
MIR: 8
Flow cover: 34
Inf proof: 16
Explored 1663 nodes (11205 simplex iterations) in 0.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.19732 1.19102 1.1853 ... 1.14485
Optimal solution found (tolerance 1.00e-02)
Best objective 1.197317572242e+00, best bound 1.198882685231e+00, gap 0.1307%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdgec7hm8.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmtxby5ym.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10423
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.880788e+00, 452 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88079 0 32 1.10423 1.88079 70.3% - 0s
0 0 1.52473 0 45 1.10423 1.52473 38.1% - 0s
0 0 1.52452 0 39 1.10423 1.52452 38.1% - 0s
0 0 1.52192 0 46 1.10423 1.52192 37.8% - 0s
0 0 1.52179 0 47 1.10423 1.52179 37.8% - 0s
0 0 1.51103 0 50 1.10423 1.51103 36.8% - 0s
0 0 1.51023 0 53 1.10423 1.51023 36.8% - 0s
0 0 1.51023 0 53 1.10423 1.51023 36.8% - 0s
0 0 1.50427 0 56 1.10423 1.50427 36.2% - 0s
0 0 1.50367 0 58 1.10423 1.50367 36.2% - 0s
0 0 1.50262 0 51 1.10423 1.50262 36.1% - 0s
0 0 1.50152 0 56 1.10423 1.50152 36.0% - 0s
0 0 1.50152 0 56 1.10423 1.50152 36.0% - 0s
0 2 1.50152 0 49 1.10423 1.50152 36.0% - 0s
* 570 175 48 1.1321740 1.28064 13.1% 8.3 0s
Cutting planes:
Gomory: 17
Cover: 8
Implied bound: 24
MIR: 10
Flow cover: 45
Inf proof: 22
Network: 2
Explored 1671 nodes (11881 simplex iterations) in 0.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.13217 1.10423
Optimal solution found (tolerance 1.00e-02)
Best objective 1.132173999112e+00, best bound 1.132173999112e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpco831pg6.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkw5rbiqi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03547
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.840119e+00, 469 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84012 0 36 1.03547 1.84012 77.7% - 0s
0 0 1.49324 0 41 1.03547 1.49324 44.2% - 0s
0 0 1.48734 0 49 1.03547 1.48734 43.6% - 0s
0 0 1.48638 0 52 1.03547 1.48638 43.5% - 0s
0 0 1.48606 0 52 1.03547 1.48606 43.5% - 0s
0 0 1.48307 0 62 1.03547 1.48307 43.2% - 0s
0 0 1.48053 0 58 1.03547 1.48053 43.0% - 0s
0 0 1.48053 0 58 1.03547 1.48053 43.0% - 0s
0 0 1.46447 0 54 1.03547 1.46447 41.4% - 0s
0 0 1.46439 0 53 1.03547 1.46439 41.4% - 0s
0 0 1.45085 0 50 1.03547 1.45085 40.1% - 0s
0 0 1.44559 0 63 1.03547 1.44559 39.6% - 0s
0 0 1.44559 0 64 1.03547 1.44559 39.6% - 0s
0 0 1.44559 0 64 1.03547 1.44559 39.6% - 0s
0 0 1.44559 0 64 1.03547 1.44559 39.6% - 0s
0 2 1.44559 0 64 1.03547 1.44559 39.6% - 0s
* 1318 383 54 1.0873741 1.23444 13.5% 5.9 0s
* 1328 391 53 1.0983711 1.23444 12.4% 5.8 0s
Cutting planes:
Gomory: 16
Cover: 10
Implied bound: 34
MIR: 12
Flow cover: 52
Inf proof: 39
Explored 2942 nodes (16917 simplex iterations) in 1.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.09837 1.08737 1.03547
Optimal solution found (tolerance 1.00e-02)
Best objective 1.098371062964e+00, best bound 1.098371062964e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9_ptx7aa.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_6l3zism.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01133
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.860145e+00, 543 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86015 0 39 1.01133 1.86015 83.9% - 0s
0 0 1.51169 0 51 1.01133 1.51169 49.5% - 0s
0 0 1.51169 0 49 1.01133 1.51169 49.5% - 0s
0 0 1.50618 0 62 1.01133 1.50618 48.9% - 0s
0 0 1.50256 0 63 1.01133 1.50256 48.6% - 0s
0 0 1.50140 0 66 1.01133 1.50140 48.5% - 0s
0 0 1.48678 0 66 1.01133 1.48678 47.0% - 0s
0 0 1.48570 0 67 1.01133 1.48570 46.9% - 0s
0 0 1.48351 0 72 1.01133 1.48351 46.7% - 0s
0 0 1.48339 0 74 1.01133 1.48339 46.7% - 0s
0 0 1.48336 0 62 1.01133 1.48336 46.7% - 0s
0 0 1.48044 0 70 1.01133 1.48044 46.4% - 0s
0 0 1.48044 0 58 1.01133 1.48044 46.4% - 0s
0 2 1.48044 0 58 1.01133 1.48044 46.4% - 0s
* 1030 479 72 1.0179957 1.30647 28.3% 10.6 2s
* 1032 457 72 1.0211040 1.30647 27.9% 10.6 2s
* 2166 357 64 1.0387913 1.22816 18.2% 11.8 2s
* 2418 313 59 1.0605564 1.20782 13.9% 11.8 2s
* 2513 312 59 1.0639982 1.19508 12.3% 11.7 2s
* 2615 279 58 1.0664992 1.19230 11.8% 11.6 2s
* 2616 278 58 1.0672923 1.19230 11.7% 11.6 3s
* 3028 106 50 1.0717251 1.12401 4.88% 11.1 3s
* 3052 98 56 1.0733113 1.12401 4.72% 11.1 3s
H 3155 17 1.0736941 1.10065 2.51% 10.9 3s
Cutting planes:
Learned: 1
Gomory: 52
Cover: 8
Implied bound: 24
Projected implied bound: 26
MIR: 15
Flow cover: 64
Flow path: 2
Inf proof: 19
Explored 3215 nodes (35558 simplex iterations) in 3.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 1.07369 1.07331 1.07173 ... 1.018
Optimal solution found (tolerance 1.00e-02)
Best objective 1.073694059711e+00, best bound 1.073694059711e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpclna236f.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx2d6hb6d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02173
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.771304e+00, 523 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77130 0 40 1.02173 1.77130 73.4% - 0s
0 0 1.43889 0 51 1.02173 1.43889 40.8% - 0s
0 0 1.43889 0 49 1.02173 1.43889 40.8% - 0s
0 0 1.43129 0 61 1.02173 1.43129 40.1% - 0s
0 0 1.42943 0 60 1.02173 1.42943 39.9% - 0s
0 0 1.42888 0 61 1.02173 1.42888 39.8% - 0s
0 0 1.41710 0 63 1.02173 1.41710 38.7% - 0s
0 0 1.41532 0 57 1.02173 1.41532 38.5% - 0s
0 0 1.41532 0 63 1.02173 1.41532 38.5% - 0s
0 0 1.41473 0 67 1.02173 1.41473 38.5% - 0s
0 0 1.41473 0 67 1.02173 1.41473 38.5% - 0s
0 2 1.41473 0 53 1.02173 1.41473 38.5% - 0s
Cutting planes:
Learned: 1
Gomory: 38
Cover: 5
Implied bound: 14
Projected implied bound: 18
Clique: 1
MIR: 12
Flow cover: 34
Flow path: 1
Inf proof: 32
Explored 3981 nodes (36232 simplex iterations) in 2.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.02173
Optimal solution found (tolerance 1.00e-02)
Best objective 1.021734178812e+00, best bound 1.021734178812e+00, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1ze4ws2j.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsh5rgla_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0104
Presolve removed 351 rows and 221 columns
Presolve time: 0.01s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.843492e+00, 547 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84349 0 41 1.01040 1.84349 82.5% - 0s
0 0 1.76866 0 62 1.01040 1.76866 75.0% - 0s
0 0 1.76416 0 58 1.01040 1.76416 74.6% - 0s
0 0 1.68095 0 65 1.01040 1.68095 66.4% - 0s
0 0 1.68038 0 67 1.01040 1.68038 66.3% - 0s
0 0 1.65836 0 75 1.01040 1.65836 64.1% - 0s
0 0 1.65413 0 73 1.01040 1.65413 63.7% - 0s
0 0 1.64450 0 78 1.01040 1.64450 62.8% - 0s
0 0 1.64351 0 75 1.01040 1.64351 62.7% - 0s
0 0 1.63846 0 84 1.01040 1.63846 62.2% - 0s
0 0 1.63827 0 84 1.01040 1.63827 62.1% - 0s
0 0 1.63621 0 83 1.01040 1.63621 61.9% - 0s
0 0 1.63608 0 85 1.01040 1.63608 61.9% - 0s
0 0 1.63600 0 85 1.01040 1.63600 61.9% - 0s
0 0 1.63597 0 85 1.01040 1.63597 61.9% - 0s
0 0 1.63597 0 65 1.01040 1.63597 61.9% - 0s
0 2 1.63597 0 65 1.01040 1.63597 61.9% - 0s
Cutting planes:
Gomory: 36
Cover: 5
Implied bound: 21
Projected implied bound: 36
Clique: 2
MIR: 17
Flow cover: 65
Flow path: 2
Inf proof: 34
Explored 5040 nodes (54416 simplex iterations) in 4.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.0104
Optimal solution found (tolerance 1.00e-02)
Best objective 1.010398616084e+00, best bound 1.019561712316e+00, gap 0.9069%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0hb6i9sg.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw2_v3il9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03528
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.807856e+00, 573 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80786 0 42 1.03528 1.80786 74.6% - 0s
0 0 1.73087 0 65 1.03528 1.73087 67.2% - 0s
0 0 1.73018 0 60 1.03528 1.73018 67.1% - 0s
0 0 1.64188 0 70 1.03528 1.64188 58.6% - 0s
0 0 1.64180 0 70 1.03528 1.64180 58.6% - 0s
0 0 1.63333 0 79 1.03528 1.63333 57.8% - 0s
0 0 1.62628 0 75 1.03528 1.62628 57.1% - 0s
0 0 1.59052 0 73 1.03528 1.59052 53.6% - 0s
0 0 1.58711 0 81 1.03528 1.58711 53.3% - 0s
0 0 1.58596 0 84 1.03528 1.58596 53.2% - 0s
0 0 1.58546 0 86 1.03528 1.58546 53.1% - 0s
0 0 1.58281 0 85 1.03528 1.58281 52.9% - 0s
0 0 1.58268 0 86 1.03528 1.58268 52.9% - 0s
0 0 1.58266 0 86 1.03528 1.58266 52.9% - 0s
0 0 1.58259 0 85 1.03528 1.58259 52.9% - 0s
0 0 1.58259 0 73 1.03528 1.58259 52.9% - 0s
0 2 1.58259 0 73 1.03528 1.58259 52.9% - 0s
Cutting planes:
Learned: 1
Gomory: 28
Cover: 9
Implied bound: 22
Projected implied bound: 29
MIR: 12
Flow cover: 45
Flow path: 2
Inf proof: 23
Network: 1
Explored 3709 nodes (35541 simplex iterations) in 3.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.03528
Optimal solution found (tolerance 1.00e-02)
Best objective 1.035275390006e+00, best bound 1.037391158333e+00, gap 0.2044%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgge1m7pc.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbppyyqr3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01828
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.760638e+00, 630 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76064 0 46 1.01828 1.76064 72.9% - 0s
0 0 1.66118 0 76 1.01828 1.66118 63.1% - 0s
0 0 1.65970 0 77 1.01828 1.65970 63.0% - 0s
0 0 1.57251 0 72 1.01828 1.57251 54.4% - 0s
0 0 1.57249 0 75 1.01828 1.57249 54.4% - 0s
0 0 1.56674 0 77 1.01828 1.56674 53.9% - 0s
0 0 1.56548 0 78 1.01828 1.56548 53.7% - 0s
0 0 1.56416 0 73 1.01828 1.56416 53.6% - 0s
0 0 1.56391 0 83 1.01828 1.56391 53.6% - 0s
0 0 1.56145 0 80 1.01828 1.56145 53.3% - 0s
0 0 1.56144 0 82 1.01828 1.56144 53.3% - 0s
0 0 1.56007 0 82 1.01828 1.56007 53.2% - 0s
0 0 1.55742 0 83 1.01828 1.55742 52.9% - 0s
0 0 1.55644 0 86 1.01828 1.55644 52.8% - 0s
0 0 1.55637 0 88 1.01828 1.55637 52.8% - 0s
0 0 1.55634 0 85 1.01828 1.55634 52.8% - 0s
0 0 1.55634 0 85 1.01828 1.55634 52.8% - 0s
0 0 1.55634 0 85 1.01828 1.55634 52.8% - 0s
0 0 1.55634 0 73 1.01828 1.55634 52.8% - 0s
0 2 1.55634 0 73 1.01828 1.55634 52.8% - 0s
Cutting planes:
Learned: 2
Gomory: 29
Cover: 3
Implied bound: 13
Projected implied bound: 28
MIR: 14
Flow cover: 53
Flow path: 3
Inf proof: 30
Explored 3853 nodes (43169 simplex iterations) in 4.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.01828
Optimal solution found (tolerance 1.00e-02)
Best objective 1.018278957621e+00, best bound 1.018278957621e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppglli9u4.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp39p9nxak.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00435
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.699021e+00, 614 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69902 0 45 1.00435 1.69902 69.2% - 0s
0 0 1.61316 0 70 1.00435 1.61316 60.6% - 0s
0 0 1.61316 0 69 1.00435 1.61316 60.6% - 0s
0 0 1.58957 0 78 1.00435 1.58957 58.3% - 0s
0 0 1.58789 0 84 1.00435 1.58789 58.1% - 0s
0 0 1.57676 0 85 1.00435 1.57676 57.0% - 0s
0 0 1.57282 0 86 1.00435 1.57282 56.6% - 0s
0 0 1.56448 0 89 1.00435 1.56448 55.8% - 0s
0 0 1.56420 0 91 1.00435 1.56420 55.7% - 0s
0 0 1.55915 0 98 1.00435 1.55915 55.2% - 0s
0 0 1.55882 0 91 1.00435 1.55882 55.2% - 0s
0 0 1.55809 0 96 1.00435 1.55809 55.1% - 0s
0 0 1.55808 0 96 1.00435 1.55808 55.1% - 0s
0 0 1.55775 0 97 1.00435 1.55775 55.1% - 0s
0 0 1.55768 0 94 1.00435 1.55768 55.1% - 0s
0 0 1.55768 0 75 1.00435 1.55768 55.1% - 0s
0 2 1.55768 0 74 1.00435 1.55768 55.1% - 0s
Cutting planes:
Learned: 1
Gomory: 11
Cover: 2
Implied bound: 16
Projected implied bound: 18
Clique: 1
MIR: 7
Flow cover: 25
Flow path: 2
Inf proof: 11
Explored 3042 nodes (27706 simplex iterations) in 3.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00435
Optimal solution found (tolerance 1.00e-02)
Best objective 1.004351889410e+00, best bound 1.004351889410e+00, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphpakj7xo.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8lljxpd0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.967521
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.633403e+00, 671 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63340 0 48 0.96752 1.63340 68.8% - 0s
0 0 1.54701 0 75 0.96752 1.54701 59.9% - 0s
0 0 1.54701 0 73 0.96752 1.54701 59.9% - 0s
0 0 1.48135 0 72 0.96752 1.48135 53.1% - 0s
0 0 1.47969 0 78 0.96752 1.47969 52.9% - 0s
0 0 1.46423 0 87 0.96752 1.46423 51.3% - 0s
0 0 1.46370 0 93 0.96752 1.46370 51.3% - 0s
0 0 1.45354 0 86 0.96752 1.45354 50.2% - 0s
0 0 1.45238 0 99 0.96752 1.45238 50.1% - 0s
0 0 1.44388 0 86 0.96752 1.44388 49.2% - 0s
0 0 1.44376 0 86 0.96752 1.44376 49.2% - 0s
0 0 1.44322 0 87 0.96752 1.44322 49.2% - 0s
0 0 1.44320 0 87 0.96752 1.44320 49.2% - 0s
0 0 1.44320 0 78 0.96752 1.44320 49.2% - 0s
0 2 1.44320 0 77 0.96752 1.44320 49.2% - 0s
3265 403 cutoff 45 0.96752 1.09308 13.0% 14.4 5s
Cutting planes:
Gomory: 26
Cover: 2
Implied bound: 18
Projected implied bound: 22
Clique: 1
MIR: 18
Flow cover: 84
Flow path: 5
Inf proof: 44
Explored 4447 nodes (58756 simplex iterations) in 5.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.967521
Optimal solution found (tolerance 1.00e-02)
Best objective 9.675206218935e-01, best bound 9.712037613031e-01, gap 0.3807%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphrwoe9_a.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5lsrmc49.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.936338
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.697181e+00, 655 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69718 0 48 0.93634 1.69718 81.3% - 0s
0 0 1.64000 0 70 0.93634 1.64000 75.2% - 0s
0 0 1.55209 0 89 0.93634 1.55209 65.8% - 0s
0 0 1.55128 0 87 0.93634 1.55128 65.7% - 0s
0 0 1.53839 0 94 0.93634 1.53839 64.3% - 0s
0 0 1.53827 0 97 0.93634 1.53827 64.3% - 0s
0 0 1.53795 0 99 0.93634 1.53795 64.3% - 0s
0 0 1.53750 0 100 0.93634 1.53750 64.2% - 0s
0 0 1.53689 0 100 0.93634 1.53689 64.1% - 0s
0 0 1.53689 0 100 0.93634 1.53689 64.1% - 0s
0 0 1.53689 0 100 0.93634 1.53689 64.1% - 0s
0 0 1.53689 0 76 0.93634 1.53689 64.1% - 0s
0 2 1.53689 0 72 0.93634 1.53689 64.1% - 0s
2745 818 1.00399 31 63 0.93634 1.21434 29.7% 13.5 5s
Cutting planes:
Gomory: 41
Cover: 3
Implied bound: 29
Projected implied bound: 46
MIR: 21
Flow cover: 95
Flow path: 2
Inf proof: 63
Explored 8863 nodes (97394 simplex iterations) in 9.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.936338
Optimal solution found (tolerance 1.00e-02)
Best objective 9.363375207679e-01, best bound 9.441971569945e-01, gap 0.8394%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpks55y7pp.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptcdaxthm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.932932
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.660680e+00, 697 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66068 0 51 0.93293 1.66068 78.0% - 0s
0 0 1.60923 0 75 0.93293 1.60923 72.5% - 0s
0 0 1.60923 0 75 0.93293 1.60923 72.5% - 0s
0 0 1.48488 0 91 0.93293 1.48488 59.2% - 0s
0 0 1.48408 0 94 0.93293 1.48408 59.1% - 0s
0 0 1.47839 0 96 0.93293 1.47839 58.5% - 0s
0 0 1.47545 0 105 0.93293 1.47545 58.2% - 0s
0 0 1.47115 0 104 0.93293 1.47115 57.7% - 0s
0 0 1.47112 0 104 0.93293 1.47112 57.7% - 0s
0 0 1.47103 0 107 0.93293 1.47103 57.7% - 0s
0 0 1.47098 0 107 0.93293 1.47098 57.7% - 0s
0 0 1.47098 0 78 0.93293 1.47098 57.7% - 0s
0 2 1.47098 0 78 0.93293 1.47098 57.7% - 0s
3373 861 1.10435 41 61 0.93293 1.19120 27.7% 12.0 5s
H 4066 781 0.9329321 1.14412 22.6% 12.0 5s
Cutting planes:
Gomory: 29
Cover: 5
Implied bound: 32
Projected implied bound: 36
MIR: 25
Flow cover: 79
Flow path: 1
Inf proof: 80
Explored 7846 nodes (84255 simplex iterations) in 8.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.932932 0.932932
Optimal solution found (tolerance 1.00e-02)
Best objective 9.329321357770e-01, best bound 9.329321357770e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp494eab4h.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2gqi_s1f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.945216
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.637597e+00, 701 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63760 0 53 0.94522 1.63760 73.3% - 0s
0 0 1.56361 0 83 0.94522 1.56361 65.4% - 0s
0 0 1.56302 0 86 0.94522 1.56302 65.4% - 0s
0 0 1.54858 0 94 0.94522 1.54858 63.8% - 0s
0 0 1.54664 0 100 0.94522 1.54664 63.6% - 0s
0 0 1.54114 0 105 0.94522 1.54114 63.0% - 0s
0 0 1.54077 0 110 0.94522 1.54077 63.0% - 0s
0 0 1.53804 0 113 0.94522 1.53804 62.7% - 0s
0 0 1.53724 0 104 0.94522 1.53724 62.6% - 0s
0 0 1.53668 0 109 0.94522 1.53668 62.6% - 0s
0 0 1.53668 0 110 0.94522 1.53668 62.6% - 0s
0 0 1.53497 0 108 0.94522 1.53497 62.4% - 0s
0 0 1.53252 0 109 0.94522 1.53252 62.1% - 0s
0 0 1.53218 0 108 0.94522 1.53218 62.1% - 0s
0 0 1.53218 0 108 0.94522 1.53218 62.1% - 0s
0 0 1.53205 0 108 0.94522 1.53205 62.1% - 0s
0 0 1.53205 0 82 0.94522 1.53205 62.1% - 0s
0 2 1.53205 0 82 0.94522 1.53205 62.1% - 0s
H 3504 1163 0.9452163 1.19929 26.9% 11.4 4s
4045 1332 1.06636 44 42 0.94522 1.16951 23.7% 11.0 5s
Cutting planes:
Learned: 1
Gomory: 5
Cover: 2
Implied bound: 23
Projected implied bound: 9
MIR: 13
Flow cover: 34
Flow path: 2
Inf proof: 9
Explored 8492 nodes (83736 simplex iterations) in 8.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.945216 0.945216
Optimal solution found (tolerance 1.00e-02)
Best objective 9.452163177366e-01, best bound 9.452163177366e-01, gap 0.0000%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiqdrp3xo.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpes8w7my0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.94717
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.616706e+00, 756 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61671 0 53 0.94717 1.61671 70.7% - 0s
0 0 1.56652 0 77 0.94717 1.56652 65.4% - 0s
0 0 1.56642 0 75 0.94717 1.56642 65.4% - 0s
0 0 1.50372 0 86 0.94717 1.50372 58.8% - 0s
0 0 1.50012 0 87 0.94717 1.50012 58.4% - 0s
0 0 1.48903 0 96 0.94717 1.48903 57.2% - 0s
0 0 1.48862 0 96 0.94717 1.48862 57.2% - 0s
0 0 1.46569 0 111 0.94717 1.46569 54.7% - 0s
0 0 1.46489 0 116 0.94717 1.46489 54.7% - 0s
0 0 1.46203 0 109 0.94717 1.46203 54.4% - 0s
0 0 1.46198 0 110 0.94717 1.46198 54.4% - 0s
0 0 1.46185 0 109 0.94717 1.46185 54.3% - 0s
0 0 1.46185 0 91 0.94717 1.46185 54.3% - 0s
0 2 1.46185 0 91 0.94717 1.46185 54.3% - 0s
2821 1073 infeasible 30 0.94717 1.25982 33.0% 14.8 5s
8660 262 infeasible 55 0.94717 1.00722 6.34% 11.8 10s
Cutting planes:
Gomory: 28
Cover: 6
Implied bound: 22
Projected implied bound: 28
MIR: 20
Flow cover: 81
Flow path: 3
Inf proof: 62
Explored 9235 nodes (107391 simplex iterations) in 10.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.94717
Optimal solution found (tolerance 1.00e-02)
Best objective 9.471699810173e-01, best bound 9.555632266796e-01, gap 0.8861%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_ytr4c5r.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfdthlk48.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923706
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.565942e+00, 858 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56594 0 58 0.92371 1.56594 69.5% - 0s
0 0 1.49813 0 95 0.92371 1.49813 62.2% - 0s
0 0 1.49465 0 89 0.92371 1.49465 61.8% - 0s
0 0 1.43598 0 80 0.92371 1.43598 55.5% - 0s
0 0 1.43595 0 82 0.92371 1.43595 55.5% - 0s
0 0 1.42408 0 96 0.92371 1.42408 54.2% - 0s
0 0 1.42391 0 100 0.92371 1.42391 54.2% - 0s
0 0 1.42188 0 94 0.92371 1.42188 53.9% - 0s
0 0 1.42170 0 96 0.92371 1.42170 53.9% - 0s
0 0 1.42158 0 101 0.92371 1.42158 53.9% - 0s
0 0 1.42158 0 100 0.92371 1.42158 53.9% - 0s
0 0 1.42129 0 104 0.92371 1.42129 53.9% - 0s
0 0 1.42129 0 81 0.92371 1.42129 53.9% - 0s
0 2 1.42129 0 80 0.92371 1.42129 53.9% - 0s
2044 744 1.20771 20 77 0.92371 1.25093 35.4% 15.1 5s
6167 474 infeasible 37 0.92371 1.04109 12.7% 15.1 10s
Cutting planes:
Gomory: 36
Cover: 4
Implied bound: 29
Projected implied bound: 34
MIR: 25
Flow cover: 77
Flow path: 2
Inf proof: 91
Explored 7396 nodes (110099 simplex iterations) in 11.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.923706
Optimal solution found (tolerance 1.00e-02)
Best objective 9.237064777952e-01, best bound 9.322939869646e-01, gap 0.9297%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2dg6lkdx.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe89okwk1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.915152
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.569184e+00, 796 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56918 0 58 0.91515 1.56918 71.5% - 0s
0 0 1.52428 0 82 0.91515 1.52428 66.6% - 0s
0 0 1.52419 0 82 0.91515 1.52419 66.6% - 0s
0 0 1.44798 0 103 0.91515 1.44798 58.2% - 0s
0 0 1.44560 0 105 0.91515 1.44560 58.0% - 0s
0 0 1.43008 0 115 0.91515 1.43008 56.3% - 0s
0 0 1.42959 0 120 0.91515 1.42959 56.2% - 0s
0 0 1.42523 0 110 0.91515 1.42523 55.7% - 0s
0 0 1.42481 0 114 0.91515 1.42481 55.7% - 0s
0 0 1.42379 0 126 0.91515 1.42379 55.6% - 0s
0 0 1.42376 0 118 0.91515 1.42376 55.6% - 0s
0 0 1.42283 0 122 0.91515 1.42283 55.5% - 0s
0 0 1.42278 0 125 0.91515 1.42278 55.5% - 0s
0 0 1.42239 0 128 0.91515 1.42239 55.4% - 0s
0 0 1.42239 0 131 0.91515 1.42239 55.4% - 0s
0 0 1.42233 0 132 0.91515 1.42233 55.4% - 0s
0 0 1.42233 0 110 0.91515 1.42233 55.4% - 0s
0 2 1.42233 0 109 0.91515 1.42233 55.4% - 0s
* 1339 528 130 0.9152740 1.30208 42.3% 17.4 4s
1672 551 1.13784 21 100 0.91527 1.28744 40.7% 17.3 5s
H 2339 563 0.9152740 1.24239 35.7% 16.9 6s
H 4884 932 0.9152740 1.05867 15.7% 13.5 8s
H 4904 935 0.9152740 1.05863 15.7% 13.4 8s
7192 1162 infeasible 81 0.91527 1.02067 11.5% 12.0 10s
Cutting planes:
Gomory: 20
Cover: 6
Implied bound: 27
Projected implied bound: 30
MIR: 33
StrongCG: 1
Flow cover: 91
Flow path: 2
Inf proof: 95
Explored 9033 nodes (111462 simplex iterations) in 11.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.915274 0.915274 0.915274 ... 0.915152
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (9.5322e-06) exceeds tolerance
Best objective 9.152739587639e-01, best bound 9.197177778704e-01, gap 0.4855%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxexunuc3.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvwku04wu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.896883
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.551723e+00, 827 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55172 0 57 0.89688 1.55172 73.0% - 0s
0 0 1.50894 0 85 0.89688 1.50894 68.2% - 0s
0 0 1.50885 0 85 0.89688 1.50885 68.2% - 0s
0 0 1.43270 0 103 0.89688 1.43270 59.7% - 0s
0 0 1.43152 0 108 0.89688 1.43152 59.6% - 0s
0 0 1.41826 0 121 0.89688 1.41826 58.1% - 0s
0 0 1.41799 0 124 0.89688 1.41799 58.1% - 0s
0 0 1.41434 0 117 0.89688 1.41434 57.7% - 0s
0 0 1.41429 0 118 0.89688 1.41429 57.7% - 0s
0 0 1.40482 0 121 0.89688 1.40482 56.6% - 0s
0 0 1.40479 0 125 0.89688 1.40479 56.6% - 0s
0 0 1.40478 0 125 0.89688 1.40478 56.6% - 0s
0 0 1.40478 0 114 0.89688 1.40478 56.6% - 0s
0 2 1.40478 0 114 0.89688 1.40478 56.6% - 0s
1964 570 0.99160 62 54 0.89688 1.21007 34.9% 16.1 5s
7398 728 0.97622 83 40 0.89688 0.99460 10.9% 12.7 10s
Cutting planes:
Gomory: 27
Cover: 4
Implied bound: 29
Projected implied bound: 46
Clique: 1
MIR: 23
Flow cover: 93
Flow path: 1
Inf proof: 96
Network: 1
Explored 9269 nodes (113726 simplex iterations) in 11.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.896883
Optimal solution found (tolerance 1.00e-02)
Best objective 8.968828543736e-01, best bound 8.968828543739e-01, gap 0.0000%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpes9mssq_.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_j7mimkx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.89594
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.528951e+00, 848 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52895 0 60 0.89594 1.52895 70.7% - 0s
0 0 1.48762 0 99 0.89594 1.48762 66.0% - 0s
0 0 1.48677 0 98 0.89594 1.48677 65.9% - 0s
0 0 1.41924 0 118 0.89594 1.41924 58.4% - 0s
0 0 1.41858 0 116 0.89594 1.41858 58.3% - 0s
0 0 1.40882 0 133 0.89594 1.40882 57.2% - 0s
0 0 1.40781 0 133 0.89594 1.40781 57.1% - 0s
0 0 1.40315 0 131 0.89594 1.40315 56.6% - 0s
0 0 1.40280 0 135 0.89594 1.40280 56.6% - 0s
0 0 1.40254 0 136 0.89594 1.40254 56.5% - 0s
0 0 1.40254 0 136 0.89594 1.40254 56.5% - 0s
0 0 1.39853 0 126 0.89594 1.39853 56.1% - 0s
0 0 1.39497 0 125 0.89594 1.39497 55.7% - 0s
0 0 1.39490 0 130 0.89594 1.39490 55.7% - 0s
0 0 1.39490 0 129 0.89594 1.39490 55.7% - 0s
0 0 1.39490 0 133 0.89594 1.39490 55.7% - 0s
0 0 1.39458 0 132 0.89594 1.39458 55.7% - 0s
0 0 1.39436 0 111 0.89594 1.39436 55.6% - 0s
0 0 1.39436 0 110 0.89594 1.39436 55.6% - 0s
0 0 1.39436 0 110 0.89594 1.39436 55.6% - 0s
0 0 1.39436 0 110 0.89594 1.39436 55.6% - 0s
0 0 1.39436 0 110 0.89594 1.39436 55.6% - 0s
0 2 1.39436 0 109 0.89594 1.39436 55.6% - 0s
760 507 0.97453 23 131 0.89594 1.32287 47.7% 14.7 5s
1257 564 infeasible 67 0.89594 1.24765 39.3% 28.0 10s
H 2327 508 0.8959403 1.13699 26.9% 25.3 12s
4711 909 infeasible 61 0.89594 1.03306 15.3% 20.2 15s
Cutting planes:
Learned: 1
Gomory: 22
Cover: 44
Implied bound: 22
Projected implied bound: 45
MIR: 44
Flow cover: 188
Flow path: 2
Inf proof: 52
Explored 7481 nodes (132171 simplex iterations) in 17.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.89594 0.89594
Optimal solution found (tolerance 1.00e-02)
Best objective 8.959403466521e-01, best bound 9.046077099060e-01, gap 0.9674%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq7rkd8hp.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyxh_u6mj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.886003
Presolve removed 520 rows and 325 columns
Presolve time: 0.02s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.511479e+00, 886 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51148 0 64 0.88600 1.51148 70.6% - 0s
0 0 1.47175 0 102 0.88600 1.47175 66.1% - 0s
0 0 1.47072 0 103 0.88600 1.47072 66.0% - 0s
0 0 1.39161 0 124 0.88600 1.39161 57.1% - 0s
0 0 1.39157 0 125 0.88600 1.39157 57.1% - 0s
0 0 1.38866 0 127 0.88600 1.38866 56.7% - 0s
0 0 1.38659 0 127 0.88600 1.38659 56.5% - 0s
0 0 1.38639 0 135 0.88600 1.38639 56.5% - 0s
0 0 1.38639 0 136 0.88600 1.38639 56.5% - 0s
0 0 1.38631 0 140 0.88600 1.38631 56.5% - 0s
0 0 1.38631 0 140 0.88600 1.38631 56.5% - 0s
0 0 1.38631 0 140 0.88600 1.38631 56.5% - 0s
0 0 1.38631 0 114 0.88600 1.38631 56.5% - 0s
0 2 1.38631 0 114 0.88600 1.38631 56.5% - 0s
1993 580 1.14884 37 74 0.88600 1.21389 37.0% 15.8 5s
8018 1112 cutoff 59 0.88600 1.01028 14.0% 11.5 10s
Cutting planes:
Learned: 2
Gomory: 45
Cover: 6
Implied bound: 30
Projected implied bound: 23
MIR: 20
Flow cover: 78
Flow path: 2
Inf proof: 88
Explored 10246 nodes (123272 simplex iterations) in 12.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.886003
Optimal solution found (tolerance 1.00e-02)
Best objective 8.860034335367e-01, best bound 8.928745439154e-01, gap 0.7755%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp91w59agb.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp813lhgt1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.889445
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.488447e+00, 930 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48845 0 72 0.88944 1.48845 67.3% - 0s
0 0 1.44814 0 108 0.88944 1.44814 62.8% - 0s
0 0 1.44753 0 101 0.88944 1.44753 62.7% - 0s
0 0 1.38140 0 121 0.88944 1.38140 55.3% - 0s
0 0 1.38104 0 120 0.88944 1.38104 55.3% - 0s
0 0 1.37254 0 132 0.88944 1.37254 54.3% - 0s
0 0 1.37244 0 132 0.88944 1.37244 54.3% - 0s
0 0 1.36868 0 135 0.88944 1.36868 53.9% - 0s
0 0 1.36867 0 135 0.88944 1.36867 53.9% - 0s
0 0 1.36832 0 138 0.88944 1.36832 53.8% - 0s
0 0 1.36776 0 141 0.88944 1.36776 53.8% - 0s
0 0 1.36761 0 144 0.88944 1.36761 53.8% - 0s
0 0 1.36761 0 144 0.88944 1.36761 53.8% - 0s
0 0 1.36760 0 141 0.88944 1.36760 53.8% - 0s
0 0 1.36760 0 142 0.88944 1.36760 53.8% - 0s
0 0 1.36760 0 123 0.88944 1.36760 53.8% - 0s
0 2 1.36760 0 120 0.88944 1.36760 53.8% - 0s
1038 591 1.08823 48 71 0.88944 1.25981 41.6% 23.2 5s
H 3858 793 0.8894448 1.11065 24.9% 16.1 8s
6066 967 infeasible 50 0.88944 1.04426 17.4% 13.6 10s
11253 564 infeasible 72 0.88944 0.93459 5.08% 12.2 15s
Cutting planes:
Gomory: 33
Cover: 5
Implied bound: 20
Projected implied bound: 41
MIR: 28
Flow cover: 110
Flow path: 2
Inf proof: 102
Explored 12210 nodes (146743 simplex iterations) in 15.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.889445 0.889445
Optimal solution found (tolerance 1.00e-02)
Best objective 8.894447762327e-01, best bound 8.982733253056e-01, gap 0.9926%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp81zgh4pv.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0_2_i5hz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870419
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.446465e+00, 1085 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44646 0 69 0.87042 1.44646 66.2% - 0s
0 0 1.40689 0 98 0.87042 1.40689 61.6% - 0s
0 0 1.40681 0 98 0.87042 1.40681 61.6% - 0s
0 0 1.35050 0 123 0.87042 1.35050 55.2% - 0s
0 0 1.34949 0 121 0.87042 1.34949 55.0% - 0s
0 0 1.33854 0 134 0.87042 1.33854 53.8% - 0s
0 0 1.33849 0 130 0.87042 1.33849 53.8% - 0s
0 0 1.33544 0 135 0.87042 1.33544 53.4% - 0s
0 0 1.33543 0 135 0.87042 1.33543 53.4% - 0s
0 0 1.33479 0 135 0.87042 1.33479 53.4% - 0s
0 0 1.33479 0 134 0.87042 1.33479 53.4% - 0s
0 0 1.33471 0 137 0.87042 1.33471 53.3% - 0s
0 0 1.33471 0 137 0.87042 1.33471 53.3% - 0s
0 0 1.33470 0 140 0.87042 1.33470 53.3% - 0s
0 0 1.33470 0 126 0.87042 1.33470 53.3% - 0s
0 2 1.33470 0 122 0.87042 1.33470 53.3% - 0s
1193 711 1.20484 19 86 0.87042 1.25340 44.0% 18.2 5s
5074 1209 infeasible 37 0.87042 1.05359 21.0% 16.9 10s
H 9585 1311 0.8704189 0.97281 11.8% 14.8 14s
9796 1150 infeasible 55 0.87042 0.96571 10.9% 14.8 15s
Cutting planes:
Gomory: 32
Cover: 2
Implied bound: 35
Projected implied bound: 48
MIR: 19
Flow cover: 123
Flow path: 1
Inf proof: 134
Explored 11945 nodes (180118 simplex iterations) in 17.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.870419 0.870419
Optimal solution found (tolerance 1.00e-02)
Best objective 8.704188847358e-01, best bound 8.746782096834e-01, gap 0.4893%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvfb5z3l9.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpauf0bgba.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.868229
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.460018e+00, 1049 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46002 0 70 0.86823 1.46002 68.2% - 0s
0 0 1.42382 0 106 0.86823 1.42382 64.0% - 0s
0 0 1.42382 0 106 0.86823 1.42382 64.0% - 0s
0 0 1.41807 0 135 0.86823 1.41807 63.3% - 0s
0 0 1.41677 0 134 0.86823 1.41677 63.2% - 0s
0 0 1.40161 0 130 0.86823 1.40161 61.4% - 0s
0 0 1.39618 0 142 0.86823 1.39618 60.8% - 0s
0 0 1.39476 0 142 0.86823 1.39476 60.6% - 0s
0 0 1.39472 0 145 0.86823 1.39472 60.6% - 0s
0 0 1.39470 0 151 0.86823 1.39470 60.6% - 0s
0 0 1.39469 0 150 0.86823 1.39469 60.6% - 0s
0 0 1.39460 0 149 0.86823 1.39460 60.6% - 0s
0 0 1.39460 0 102 0.86823 1.39460 60.6% - 0s
0 2 1.39460 0 100 0.86823 1.39460 60.6% - 0s
839 526 1.14255 35 94 0.86823 1.27124 46.4% 20.2 5s
H 3866 825 0.8682295 1.07709 24.1% 15.9 8s
5278 1020 0.96187 83 69 0.86823 1.04381 20.2% 14.6 10s
H 8275 1441 0.8682295 0.99465 14.6% 14.0 12s
9856 1373 0.93869 64 83 0.86823 0.96669 11.3% 14.0 15s
Cutting planes:
Gomory: 22
Cover: 5
Implied bound: 36
Projected implied bound: 52
MIR: 28
Flow cover: 122
Flow path: 4
Inf proof: 106
Explored 13400 nodes (191805 simplex iterations) in 19.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.868229 0.868229 0.868229
Optimal solution found (tolerance 1.00e-02)
Best objective 8.682294919775e-01, best bound 8.755528004359e-01, gap 0.8435%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8dk6zv92.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3cr218oi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864858
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.436136e+00, 998 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43614 0 71 0.86486 1.43614 66.1% - 0s
0 0 1.39955 0 107 0.86486 1.39955 61.8% - 0s
0 0 1.39908 0 100 0.86486 1.39908 61.8% - 0s
0 0 1.37878 0 142 0.86486 1.37878 59.4% - 0s
0 0 1.37810 0 141 0.86486 1.37810 59.3% - 0s
0 0 1.36749 0 151 0.86486 1.36749 58.1% - 0s
0 0 1.36640 0 158 0.86486 1.36640 58.0% - 0s
0 0 1.35843 0 162 0.86486 1.35843 57.1% - 0s
0 0 1.35792 0 160 0.86486 1.35792 57.0% - 0s
0 0 1.35783 0 162 0.86486 1.35783 57.0% - 0s
0 0 1.35783 0 162 0.86486 1.35783 57.0% - 0s
0 0 1.35783 0 162 0.86486 1.35783 57.0% - 0s
0 0 1.35783 0 117 0.86486 1.35783 57.0% - 0s
0 0 1.35783 0 117 0.86486 1.35783 57.0% - 0s
0 0 1.35783 0 118 0.86486 1.35783 57.0% - 0s
0 0 1.35783 0 118 0.86486 1.35783 57.0% - 0s
0 2 1.35783 0 116 0.86486 1.35783 57.0% - 0s
923 516 infeasible 37 0.86486 1.22646 41.8% 21.2 5s
4547 976 infeasible 69 0.86486 1.06090 22.7% 16.7 10s
9108 1280 0.92461 66 75 0.86486 0.97892 13.2% 14.8 15s
H 9831 1218 0.8648582 0.96576 11.7% 14.8 16s
12094 421 0.90007 110 31 0.86486 0.90253 4.36% 15.2 20s
Cutting planes:
Gomory: 36
Cover: 9
Implied bound: 26
Projected implied bound: 51
MIR: 29
Flow cover: 107
Flow path: 4
Inf proof: 139
Explored 13111 nodes (197295 simplex iterations) in 21.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.864858 0.864858
Optimal solution found (tolerance 1.00e-02)
Best objective 8.648582046164e-01, best bound 8.718307092666e-01, gap 0.8062%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplhta82f5.pyomo.lp
Reading time = 0.02 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4qvau0by.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.852877
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.418350e+00, 1102 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41835 0 72 0.85288 1.41835 66.3% - 0s
0 0 1.38444 0 103 0.85288 1.38444 62.3% - 0s
0 0 1.38437 0 102 0.85288 1.38437 62.3% - 0s
0 0 1.36602 0 126 0.85288 1.36602 60.2% - 0s
0 0 1.36493 0 128 0.85288 1.36493 60.0% - 0s
0 0 1.35701 0 132 0.85288 1.35701 59.1% - 0s
0 0 1.35701 0 132 0.85288 1.35701 59.1% - 0s
0 0 1.35698 0 136 0.85288 1.35698 59.1% - 0s
0 0 1.35698 0 138 0.85288 1.35698 59.1% - 0s
0 0 1.35673 0 137 0.85288 1.35673 59.1% - 0s
0 0 1.35673 0 104 0.85288 1.35673 59.1% - 0s
0 2 1.35673 0 100 0.85288 1.35673 59.1% - 0s
1245 620 0.89304 59 96 0.85288 1.24399 45.9% 18.6 5s
4891 1327 1.01912 42 87 0.85288 1.06501 24.9% 16.1 10s
9377 2406 1.00399 67 65 0.85288 1.00493 17.8% 14.6 15s
12717 2660 infeasible 57 0.85288 0.97930 14.8% 14.7 20s
15450 1758 infeasible 111 0.85288 0.93128 9.19% 14.9 25s
Cutting planes:
Gomory: 36
Cover: 3
Implied bound: 35
Projected implied bound: 54
Clique: 1
MIR: 33
Flow cover: 114
Flow path: 1
Inf proof: 183
Explored 18942 nodes (280692 simplex iterations) in 29.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.852877
Optimal solution found (tolerance 1.00e-02)
Best objective 8.528767077827e-01, best bound 8.585611167614e-01, gap 0.6665%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcdbz_jzy.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpio8qtiw9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.84569
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.429958e+00, 1051 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42996 0 78 0.84569 1.42996 69.1% - 0s
0 0 1.39537 0 118 0.84569 1.39537 65.0% - 0s
0 0 1.39530 0 117 0.84569 1.39530 65.0% - 0s
0 0 1.34938 0 116 0.84569 1.34938 59.6% - 0s
0 0 1.34807 0 118 0.84569 1.34807 59.4% - 0s
0 0 1.32684 0 160 0.84569 1.32684 56.9% - 0s
0 0 1.32493 0 161 0.84569 1.32493 56.7% - 0s
0 0 1.32286 0 168 0.84569 1.32286 56.4% - 0s
0 0 1.32285 0 161 0.84569 1.32285 56.4% - 0s
0 0 1.32271 0 160 0.84569 1.32271 56.4% - 0s
0 0 1.32270 0 168 0.84569 1.32270 56.4% - 0s
0 0 1.32241 0 172 0.84569 1.32241 56.4% - 0s
0 0 1.32241 0 132 0.84569 1.32241 56.4% - 0s
0 2 1.32241 0 130 0.84569 1.32241 56.4% - 0s
801 569 1.20357 21 104 0.84569 1.20357 42.3% 20.2 5s
5641 1563 infeasible 54 0.84569 1.04758 23.9% 14.1 10s
10924 2279 0.94845 54 55 0.84569 0.98899 16.9% 13.1 15s
H12878 2273 0.8456902 0.96444 14.0% 13.1 17s
13877 1945 0.91023 79 72 0.84569 0.94663 11.9% 13.3 20s
18100 1454 infeasible 64 0.84569 0.88909 5.13% 13.0 25s
21982 751 0.86246 90 21 0.84569 0.86345 2.10% 12.5 30s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 43
Projected implied bound: 58
MIR: 27
Flow cover: 118
Flow path: 2
Inf proof: 202
Explored 23327 nodes (292946 simplex iterations) in 31.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.84569 0.84569
Optimal solution found (tolerance 1.00e-02)
Best objective 8.456902279805e-01, best bound 8.534397721084e-01, gap 0.9164%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu1srh48e.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfkt87mad.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.855757
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.412549e+00, 1029 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41255 0 78 0.85576 1.41255 65.1% - 0s
0 0 1.38085 0 124 0.85576 1.38085 61.4% - 0s
0 0 1.38053 0 112 0.85576 1.38053 61.3% - 0s
0 0 1.34344 0 127 0.85576 1.34344 57.0% - 0s
0 0 1.34128 0 120 0.85576 1.34128 56.7% - 0s
0 0 1.33162 0 165 0.85576 1.33162 55.6% - 0s
0 0 1.32542 0 163 0.85576 1.32542 54.9% - 0s
0 0 1.32129 0 169 0.85576 1.32129 54.4% - 0s
0 0 1.32122 0 178 0.85576 1.32122 54.4% - 0s
0 0 1.32088 0 171 0.85576 1.32088 54.4% - 0s
0 0 1.32087 0 170 0.85576 1.32087 54.4% - 0s
0 0 1.32076 0 171 0.85576 1.32076 54.3% - 0s
0 0 1.32076 0 171 0.85576 1.32076 54.3% - 0s
0 0 1.32076 0 173 0.85576 1.32076 54.3% - 0s
0 0 1.32076 0 131 0.85576 1.32076 54.3% - 0s
0 2 1.32076 0 131 0.85576 1.32076 54.3% - 0s
858 562 0.99109 28 125 0.85576 1.19798 40.0% 23.0 5s
3920 1391 1.03454 31 103 0.85576 1.12978 32.0% 18.9 10s
9667 2719 0.97284 62 58 0.85576 1.01438 18.5% 14.5 15s
13161 2910 0.97327 73 53 0.85576 0.97469 13.9% 13.4 20s
17150 1979 infeasible 68 0.85576 0.91711 7.17% 13.5 25s
20744 767 cutoff 60 0.85576 0.87253 1.96% 13.3 30s
Cutting planes:
Gomory: 34
Cover: 2
Implied bound: 36
Projected implied bound: 45
MIR: 27
Flow cover: 100
Flow path: 2
Inf proof: 262
Network: 2
Explored 21631 nodes (288974 simplex iterations) in 31.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.855757
Optimal solution found (tolerance 1.00e-02)
Best objective 8.557565137675e-01, best bound 8.640269500374e-01, gap 0.9664%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0t9o9406.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1pjgs3bo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.838358
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.379368e+00, 984 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37937 0 79 0.83836 1.37937 64.5% - 0s
0 0 1.34784 0 122 0.83836 1.34784 60.8% - 0s
0 0 1.34526 0 113 0.83836 1.34526 60.5% - 0s
0 0 1.29804 0 150 0.83836 1.29804 54.8% - 0s
0 0 1.29663 0 150 0.83836 1.29663 54.7% - 0s
0 0 1.28907 0 152 0.83836 1.28907 53.8% - 0s
0 0 1.28789 0 157 0.83836 1.28789 53.6% - 0s
0 0 1.28631 0 150 0.83836 1.28631 53.4% - 0s
0 0 1.28623 0 158 0.83836 1.28623 53.4% - 0s
0 0 1.28621 0 157 0.83836 1.28621 53.4% - 0s
0 0 1.28621 0 157 0.83836 1.28621 53.4% - 0s
0 0 1.28621 0 159 0.83836 1.28621 53.4% - 0s
0 0 1.28621 0 139 0.83836 1.28621 53.4% - 0s
0 2 1.28621 0 138 0.83836 1.28621 53.4% - 0s
793 543 1.18853 18 133 0.83836 1.22099 45.6% 21.1 5s
2619 838 1.04901 30 110 0.83836 1.13647 35.6% 23.7 10s
4921 1485 infeasible 38 0.83836 1.08370 29.3% 23.5 15s
7750 1694 infeasible 43 0.83836 1.00141 19.4% 21.8 20s
12529 2274 0.93480 68 57 0.83836 0.94662 12.9% 17.4 25s
15301 1855 cutoff 53 0.83836 0.91262 8.86% 16.6 30s
18587 288 cutoff 74 0.83836 0.85076 1.48% 15.8 35s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 4
Implied bound: 39
Projected implied bound: 43
MIR: 44
Flow cover: 165
Flow path: 3
Inf proof: 229
Explored 19061 nodes (300462 simplex iterations) in 35.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.838358
Optimal solution found (tolerance 1.00e-02)
Best objective 8.383584957739e-01, best bound 8.463189645464e-01, gap 0.9495%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0vkf42i1.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyopnj_ij.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.831618
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.364885e+00, 1028 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36488 0 80 0.83162 1.36488 64.1% - 0s
0 0 1.33240 0 111 0.83162 1.33240 60.2% - 0s
0 0 1.33224 0 111 0.83162 1.33224 60.2% - 0s
0 0 1.31876 0 126 0.83162 1.31876 58.6% - 0s
0 0 1.31861 0 128 0.83162 1.31861 58.6% - 0s
0 0 1.30389 0 142 0.83162 1.30389 56.8% - 0s
0 0 1.30164 0 137 0.83162 1.30164 56.5% - 0s
0 0 1.29851 0 159 0.83162 1.29851 56.1% - 0s
0 0 1.29821 0 153 0.83162 1.29821 56.1% - 0s
0 0 1.29774 0 158 0.83162 1.29774 56.1% - 0s
0 0 1.29774 0 158 0.83162 1.29774 56.1% - 0s
0 0 1.29774 0 155 0.83162 1.29774 56.0% - 0s
0 0 1.29763 0 154 0.83162 1.29763 56.0% - 0s
0 0 1.29763 0 123 0.83162 1.29763 56.0% - 0s
0 2 1.29763 0 123 0.83162 1.29763 56.0% - 0s
910 532 infeasible 24 0.83162 1.17774 41.6% 20.2 5s
3098 1181 1.06126 37 115 0.83162 1.13958 37.0% 20.8 10s
6116 1700 0.93741 50 72 0.83162 1.02440 23.2% 18.4 15s
11351 2888 infeasible 64 0.83162 0.97172 16.8% 14.9 20s
14738 3108 0.91921 115 50 0.83162 0.94771 14.0% 14.2 25s
17939 2612 0.89153 66 49 0.83162 0.91430 9.94% 14.1 30s
20610 1893 0.87348 86 57 0.83162 0.88064 5.89% 14.2 35s
24073 915 infeasible 93 0.83162 0.85269 2.53% 13.7 40s
Cutting planes:
Gomory: 40
Cover: 4
Implied bound: 50
Projected implied bound: 30
MIR: 45
Flow cover: 118
Flow path: 5
Inf proof: 252
Explored 26204 nodes (356912 simplex iterations) in 43.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.831618
Optimal solution found (tolerance 1.00e-02)
Best objective 8.316182394631e-01, best bound 8.387533857327e-01, gap 0.8580%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkt9oop2m.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoj471mqf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.820372
Presolve removed 650 rows and 405 columns
Presolve time: 0.03s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.335937e+00, 1140 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33594 0 88 0.82037 1.33594 62.8% - 0s
0 0 1.30657 0 119 0.82037 1.30657 59.3% - 0s
0 0 1.30635 0 119 0.82037 1.30635 59.2% - 0s
0 0 1.28200 0 160 0.82037 1.28200 56.3% - 0s
0 0 1.28020 0 163 0.82037 1.28020 56.1% - 0s
0 0 1.27331 0 188 0.82037 1.27331 55.2% - 0s
0 0 1.27288 0 177 0.82037 1.27288 55.2% - 0s
0 0 1.27186 0 185 0.82037 1.27186 55.0% - 0s
0 0 1.27185 0 181 0.82037 1.27185 55.0% - 0s
0 0 1.27021 0 183 0.82037 1.27021 54.8% - 0s
0 0 1.27019 0 183 0.82037 1.27019 54.8% - 0s
0 0 1.27016 0 184 0.82037 1.27016 54.8% - 0s
0 0 1.27016 0 184 0.82037 1.27016 54.8% - 0s
0 0 1.27016 0 124 0.82037 1.27016 54.8% - 0s
0 2 1.27016 0 124 0.82037 1.27016 54.8% - 0s
778 562 1.19270 13 119 0.82037 1.19270 45.4% 19.3 5s
2416 804 0.83608 49 93 0.82037 1.11357 35.7% 21.7 10s
6602 1757 infeasible 36 0.82037 0.99642 21.5% 16.5 15s
H 7163 1942 0.8203717 0.98475 20.0% 16.1 15s
10735 2490 infeasible 54 0.82037 0.95169 16.0% 14.7 20s
14836 2962 cutoff 58 0.82037 0.92001 12.1% 13.9 25s
17640 2457 infeasible 63 0.82037 0.88731 8.16% 14.3 30s
20252 1531 infeasible 75 0.82037 0.85595 4.34% 14.3 35s
Cutting planes:
Gomory: 49
Cover: 4
Implied bound: 35
Projected implied bound: 45
MIR: 42
Flow cover: 151
Flow path: 2
Inf proof: 232
Explored 23205 nodes (330732 simplex iterations) in 39.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.820372 0.820372
Optimal solution found (tolerance 1.00e-02)
Best objective 8.203717145429e-01, best bound 8.268928399742e-01, gap 0.7949%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8bnt4_cv.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_ksbefk1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.808169
Presolve removed 663 rows and 413 columns
Presolve time: 0.03s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.319220e+00, 1103 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31922 0 86 0.80817 1.31922 63.2% - 0s
0 0 1.29077 0 130 0.80817 1.29077 59.7% - 0s
0 0 1.28836 0 125 0.80817 1.28836 59.4% - 0s
0 0 1.27736 0 136 0.80817 1.27736 58.1% - 0s
0 0 1.27643 0 151 0.80817 1.27643 57.9% - 0s
0 0 1.26375 0 151 0.80817 1.26375 56.4% - 0s
0 0 1.26287 0 156 0.80817 1.26287 56.3% - 0s
0 0 1.25580 0 164 0.80817 1.25580 55.4% - 0s
0 0 1.25485 0 163 0.80817 1.25485 55.3% - 0s
0 0 1.25161 0 166 0.80817 1.25161 54.9% - 0s
0 0 1.25153 0 173 0.80817 1.25153 54.9% - 0s
0 0 1.25127 0 173 0.80817 1.25127 54.8% - 0s
0 0 1.24928 0 161 0.80817 1.24928 54.6% - 0s
0 0 1.24874 0 164 0.80817 1.24874 54.5% - 0s
0 0 1.24874 0 165 0.80817 1.24874 54.5% - 0s
0 0 1.24874 0 165 0.80817 1.24874 54.5% - 0s
0 0 1.24874 0 134 0.80817 1.24874 54.5% - 0s
0 0 1.24874 0 134 0.80817 1.24874 54.5% - 0s
0 0 1.24874 0 131 0.80817 1.24874 54.5% - 0s
0 0 1.24874 0 127 0.80817 1.24874 54.5% - 0s
0 2 1.24874 0 127 0.80817 1.24874 54.5% - 1s
754 520 1.14942 12 122 0.80817 1.14942 42.2% 21.6 5s
2684 1004 infeasible 35 0.80817 1.11389 37.8% 21.7 10s
6257 1799 0.95676 45 76 0.80817 0.99525 23.1% 17.4 15s
9540 2176 infeasible 50 0.80817 0.94706 17.2% 15.7 20s
13391 2912 infeasible 61 0.80817 0.92425 14.4% 14.1 25s
18672 3376 infeasible 74 0.80817 0.88382 9.36% 12.9 30s
22633 2652 infeasible 108 0.80817 0.84786 4.91% 12.5 35s
26205 1642 cutoff 76 0.80817 0.83043 2.75% 12.4 40s
Cutting planes:
Gomory: 36
Cover: 4
Implied bound: 43
Projected implied bound: 45
MIR: 33
Flow cover: 129
Flow path: 1
Inf proof: 199
Explored 28455 nodes (352934 simplex iterations) in 43.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.808169
Optimal solution found (tolerance 1.00e-02)
Best objective 8.081686995639e-01, best bound 8.162144066971e-01, gap 0.9955%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc2wmpyo2.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp918hmo21.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.804176
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.325045e+00, 1052 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32505 0 88 0.80418 1.32505 64.8% - 0s
0 0 1.29538 0 130 0.80418 1.29538 61.1% - 0s
0 0 1.29507 0 129 0.80418 1.29507 61.0% - 0s
0 0 1.24907 0 140 0.80418 1.24907 55.3% - 0s
0 0 1.24817 0 144 0.80418 1.24817 55.2% - 0s
0 0 1.23076 0 169 0.80418 1.23076 53.0% - 0s
0 0 1.22656 0 173 0.80418 1.22656 52.5% - 0s
0 0 1.22429 0 177 0.80418 1.22429 52.2% - 0s
0 0 1.22413 0 178 0.80418 1.22413 52.2% - 0s
0 0 1.22329 0 178 0.80418 1.22329 52.1% - 0s
0 0 1.22329 0 180 0.80418 1.22329 52.1% - 0s
0 0 1.22320 0 186 0.80418 1.22320 52.1% - 0s
0 0 1.22320 0 186 0.80418 1.22320 52.1% - 0s
0 0 1.22192 0 183 0.80418 1.22192 51.9% - 0s
0 0 1.22180 0 184 0.80418 1.22180 51.9% - 0s
0 0 1.22180 0 186 0.80418 1.22180 51.9% - 0s
0 0 1.22180 0 186 0.80418 1.22180 51.9% - 0s
0 0 1.22180 0 156 0.80418 1.22180 51.9% - 0s
0 2 1.22180 0 154 0.80418 1.22180 51.9% - 0s
760 509 1.14494 16 139 0.80418 1.14494 42.4% 25.3 5s
2524 633 0.97639 35 131 0.80418 1.06004 31.8% 22.7 10s
H 5794 2034 0.8062136 1.00143 24.2% 18.2 14s
H 5797 2034 0.8062136 1.00034 24.1% 18.2 14s
5932 2073 0.89528 58 86 0.80621 1.00034 24.1% 18.1 15s
10314 3192 infeasible 39 0.80621 0.95536 18.5% 15.7 20s
15167 4237 0.89113 94 73 0.80621 0.91922 14.0% 13.7 25s
19213 4757 infeasible 66 0.80621 0.89695 11.3% 13.1 30s
20647 5053 0.85409 59 156 0.80621 0.89149 10.6% 13.1 45s
20661 5062 0.82938 108 195 0.80621 0.89149 10.6% 13.1 50s
20667 5066 0.85209 84 213 0.80621 0.89149 10.6% 13.1 55s
20678 5074 0.85116 46 212 0.80621 0.89149 10.6% 13.1 60s
20683 5077 0.85467 74 221 0.80621 0.89149 10.6% 13.1 65s
20688 5080 0.84108 83 220 0.80621 0.89149 10.6% 13.1 70s
20696 5086 0.84614 99 230 0.80621 0.89149 10.6% 13.1 75s
20704 5091 0.82260 83 210 0.80621 0.89149 10.6% 13.0 80s
20711 5096 0.86236 81 226 0.80621 0.89149 10.6% 13.0 85s
20717 5100 0.83859 65 232 0.80621 0.89149 10.6% 13.0 90s
20725 5105 0.88769 70 246 0.80621 0.89149 10.6% 13.0 95s
20731 5109 0.86833 65 252 0.80621 0.89149 10.6% 13.0 100s
20738 5114 0.83408 94 249 0.80621 0.89149 10.6% 13.0 105s
20744 5118 0.84222 99 251 0.80621 0.89149 10.6% 13.0 110s
20751 5122 0.81497 80 242 0.80621 0.89149 10.6% 13.0 116s
20757 5126 0.82937 91 248 0.80621 0.89149 10.6% 13.0 120s
20761 5129 0.82938 108 241 0.80621 0.89149 10.6% 13.0 125s
20766 5132 0.84192 83 257 0.80621 0.89149 10.6% 13.0 130s
20773 5137 0.83769 83 248 0.80621 0.89149 10.6% 13.0 135s
20778 5140 0.85116 46 240 0.80621 0.89149 10.6% 13.0 140s
20783 5144 0.85467 74 241 0.80621 0.89149 10.6% 13.0 145s
20788 5147 0.84108 83 230 0.80621 0.89149 10.6% 13.0 150s
H20789 4888 0.8062136 0.89149 10.6% 13.0 153s
20792 4890 0.81370 104 234 0.80621 0.89149 10.6% 13.0 156s
20796 4892 0.84614 99 223 0.80621 0.89149 10.6% 13.0 160s
20801 4896 0.81049 98 239 0.80621 0.89149 10.6% 13.0 165s
20805 4898 0.85419 55 233 0.80621 0.89149 10.6% 13.0 170s
20814 4904 0.83609 81 211 0.80621 0.89149 10.6% 13.0 175s
20819 4908 0.84379 109 228 0.80621 0.89149 10.6% 13.0 180s
20822 4910 0.81674 89 229 0.80621 0.89149 10.6% 13.0 185s
20827 4913 0.80658 79 227 0.80621 0.89149 10.6% 13.0 190s
20832 4916 0.85438 60 219 0.80621 0.89149 10.6% 13.0 196s
20836 4919 0.83194 116 213 0.80621 0.89149 10.6% 13.0 201s
20840 4922 0.88710 71 218 0.80621 0.89149 10.6% 13.0 205s
20844 4924 0.84222 99 225 0.80621 0.89149 10.6% 13.0 210s
20849 4928 0.82352 86 227 0.80621 0.89149 10.6% 13.0 215s
20854 4931 0.82923 115 224 0.80621 0.89149 10.6% 13.0 221s
20858 4934 0.81367 88 220 0.80621 0.89149 10.6% 12.9 226s
20862 4936 0.82149 105 228 0.80621 0.89149 10.6% 12.9 230s
20868 4940 0.82712 80 227 0.80621 0.89149 10.6% 12.9 235s
20873 4944 0.83769 83 234 0.80621 0.89149 10.6% 12.9 241s
20877 4946 0.82175 74 219 0.80621 0.89149 10.6% 12.9 245s
20879 4948 infeasible 29 0.80621 0.89149 10.6% 15.7 250s
20883 4948 0.82197 32 147 0.80621 0.89149 10.6% 15.7 257s
20893 4951 0.87486 36 179 0.80621 0.89149 10.6% 15.8 260s
21134 4933 0.81805 66 91 0.80621 0.89149 10.6% 16.4 265s
21716 4963 0.85328 52 146 0.80621 0.88666 10.0% 17.1 270s
22187 4911 0.83302 45 159 0.80621 0.87520 8.56% 18.2 275s
22974 4703 0.82945 58 135 0.80621 0.85412 5.94% 19.4 280s
23918 4399 infeasible 68 0.80621 0.83580 3.67% 20.5 285s
24374 4200 0.81793 62 99 0.80621 0.83004 2.96% 20.9 290s
Cutting planes:
Learned: 2
Gomory: 157
Cover: 16
Implied bound: 36
Projected implied bound: 37
Clique: 7
MIR: 169
StrongCG: 10
Flow cover: 445
Flow path: 6
GUB cover: 1
Inf proof: 49
Zero half: 2
Explored 25542 nodes (555176 simplex iterations) in 294.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.806214 0.806214 0.806214 0.804176
Optimal solution found (tolerance 1.00e-02)
Best objective 8.062136282801e-01, best bound 8.124979771634e-01, gap 0.7795%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg3e70raz.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0y6eygju.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.800941
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.306172e+00, 1288 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30617 0 91 0.80094 1.30617 63.1% - 0s
0 0 1.27702 0 135 0.80094 1.27702 59.4% - 0s
0 0 1.27696 0 138 0.80094 1.27696 59.4% - 0s
0 0 1.23841 0 157 0.80094 1.23841 54.6% - 0s
0 0 1.23808 0 162 0.80094 1.23808 54.6% - 0s
0 0 1.23017 0 173 0.80094 1.23017 53.6% - 0s
0 0 1.22957 0 172 0.80094 1.22957 53.5% - 0s
0 0 1.22124 0 194 0.80094 1.22124 52.5% - 0s
0 0 1.21694 0 194 0.80094 1.21694 51.9% - 0s
0 0 1.21601 0 202 0.80094 1.21601 51.8% - 0s
0 0 1.21598 0 202 0.80094 1.21598 51.8% - 0s
0 0 1.21582 0 204 0.80094 1.21582 51.8% - 0s
0 0 1.21580 0 206 0.80094 1.21580 51.8% - 0s
0 0 1.21580 0 208 0.80094 1.21580 51.8% - 0s
0 0 1.21580 0 174 0.80094 1.21580 51.8% - 0s
0 2 1.21580 0 171 0.80094 1.21580 51.8% - 0s
767 523 0.96240 83 160 0.80094 1.13192 41.3% 16.6 5s
1572 668 1.07349 27 141 0.80094 1.10434 37.9% 29.9 10s
H 1931 535 0.8014604 1.09148 36.2% 31.7 12s
3448 1031 1.02342 46 115 0.80146 1.03314 28.9% 27.2 15s
7090 2643 0.93785 67 111 0.80146 1.00167 25.0% 22.3 20s
H 9107 3167 0.8014604 0.98607 23.0% 21.0 23s
9872 3157 infeasible 48 0.80146 0.97747 22.0% 20.7 25s
13825 3456 infeasible 36 0.80146 0.94909 18.4% 18.6 30s
16649 2906 infeasible 60 0.80146 0.91486 14.1% 17.9 35s
18696 2495 infeasible 53 0.80146 0.89079 11.1% 17.6 40s
20896 1743 cutoff 58 0.80146 0.86235 7.60% 17.4 45s
23471 1126 0.82430 77 59 0.80146 0.83870 4.65% 17.1 50s
26593 223 cutoff 81 0.80146 0.81095 1.18% 16.6 55s
Cutting planes:
Gomory: 45
Cover: 6
Implied bound: 61
Projected implied bound: 49
MIR: 57
Flow cover: 192
Flow path: 2
Inf proof: 229
Explored 26754 nodes (445714 simplex iterations) in 55.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.80146 0.80146 0.800941
Optimal solution found (tolerance 1.00e-02)
Best objective 8.014604152031e-01, best bound 8.094315359805e-01, gap 0.9946%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcmr0_1mz.pyomo.lp
Reading time = 0.02 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2ewkzsai.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.79334
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.289373e+00, 1193 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28937 0 94 0.79334 1.28937 62.5% - 0s
0 0 1.24958 0 158 0.79334 1.24958 57.5% - 0s
0 0 1.24747 0 160 0.79334 1.24747 57.2% - 0s
0 0 1.24545 0 167 0.79334 1.24545 57.0% - 0s
0 0 1.24432 0 174 0.79334 1.24432 56.8% - 0s
0 0 1.23788 0 189 0.79334 1.23788 56.0% - 0s
0 0 1.23695 0 192 0.79334 1.23695 55.9% - 0s
0 0 1.23504 0 189 0.79334 1.23504 55.7% - 0s
0 0 1.23440 0 188 0.79334 1.23440 55.6% - 0s
0 0 1.23359 0 200 0.79334 1.23359 55.5% - 0s
0 0 1.23354 0 194 0.79334 1.23354 55.5% - 0s
0 0 1.23354 0 190 0.79334 1.23354 55.5% - 0s
0 0 1.23354 0 190 0.79334 1.23354 55.5% - 0s
0 0 1.23353 0 192 0.79334 1.23353 55.5% - 0s
0 0 1.23353 0 132 0.79334 1.23353 55.5% - 0s
0 2 1.23353 0 128 0.79334 1.23353 55.5% - 0s
* 1741 682 180 0.7949803 1.11701 40.5% 16.0 4s
1878 724 0.86002 70 88 0.79498 1.11701 40.5% 16.0 5s
H 2792 950 0.7949803 1.09297 37.5% 15.7 6s
7415 1784 0.92127 88 65 0.79498 0.96137 20.9% 11.0 10s
H11607 2847 0.7949803 0.92482 16.3% 9.6 13s
13226 3028 0.85163 96 75 0.79498 0.91422 15.0% 9.3 15s
18320 2983 infeasible 107 0.79498 0.86879 9.28% 9.1 20s
21623 2185 0.81775 102 53 0.79498 0.83924 5.57% 9.3 25s
24998 1306 0.82090 154 22 0.79498 0.82090 3.26% 9.4 30s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 12
MIR: 17
Flow cover: 34
Inf proof: 4
Explored 27067 nodes (260802 simplex iterations) in 32.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.79498 0.79498 0.79498 0.79334
Optimal solution found (tolerance 1.00e-02)
Best objective 7.949803390854e-01, best bound 8.021371795457e-01, gap 0.9003%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy6t110rb.pyomo.lp
Reading time = 0.02 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqye_qu10.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.783942
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.264126e+00, 1367 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26413 0 93 0.78394 1.26413 61.3% - 0s
0 0 1.23669 0 145 0.78394 1.23669 57.8% - 0s
0 0 1.23647 0 145 0.78394 1.23647 57.7% - 0s
0 0 1.20877 0 137 0.78394 1.20877 54.2% - 0s
0 0 1.20655 0 148 0.78394 1.20655 53.9% - 0s
0 0 1.20242 0 164 0.78394 1.20242 53.4% - 0s
0 0 1.20173 0 164 0.78394 1.20173 53.3% - 0s
0 0 1.19238 0 196 0.78394 1.19238 52.1% - 0s
0 0 1.19146 0 203 0.78394 1.19146 52.0% - 0s
0 0 1.19062 0 203 0.78394 1.19062 51.9% - 0s
0 0 1.19062 0 205 0.78394 1.19062 51.9% - 0s
0 0 1.19062 0 206 0.78394 1.19062 51.9% - 0s
0 0 1.19062 0 205 0.78394 1.19062 51.9% - 0s
0 0 1.19062 0 205 0.78394 1.19062 51.9% - 0s
0 0 1.19062 0 158 0.78394 1.19062 51.9% - 0s
0 2 1.19062 0 155 0.78394 1.19062 51.9% - 0s
767 560 1.07828 12 153 0.78394 1.10823 41.4% 17.3 5s
* 1440 752 194 0.7839727 1.10823 41.4% 23.2 8s
2143 840 1.05751 20 167 0.78397 1.08147 37.9% 22.3 10s
4396 1472 0.98663 45 115 0.78397 1.02415 30.6% 21.0 15s
H 7078 2108 0.7839727 0.98406 25.5% 18.8 19s
7081 2046 infeasible 56 0.78397 0.98406 25.5% 18.8 20s
10681 2684 0.93368 47 134 0.78397 0.94128 20.1% 16.6 25s
14388 3410 infeasible 72 0.78397 0.91318 16.5% 15.7 30s
17381 3810 infeasible 62 0.78397 0.89738 14.5% 15.5 35s
H19930 4098 0.7839727 0.88458 12.8% 15.6 39s
20188 3968 0.78902 73 64 0.78397 0.88179 12.5% 15.6 40s
22434 3572 0.82484 59 102 0.78397 0.86428 10.2% 16.0 45s
24520 3218 infeasible 50 0.78397 0.84778 8.14% 16.2 50s
26839 2592 0.82310 73 74 0.78397 0.82589 5.35% 16.3 55s
29911 2062 infeasible 69 0.78397 0.80652 2.88% 16.1 60s
Cutting planes:
Learned: 1
Gomory: 57
Cover: 4
Implied bound: 51
Projected implied bound: 55
MIR: 53
Flow cover: 182
Flow path: 1
Inf proof: 291
Network: 1
Explored 32777 nodes (524871 simplex iterations) in 64.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.783973 0.783973 0.783973 0.783942
Optimal solution found (tolerance 1.00e-02)
Best objective 7.839727193556e-01, best bound 7.918100803387e-01, gap 0.9997%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2zg2f0an.pyomo.lp
Reading time = 0.02 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpclqocjhk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.768745
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.239308e+00, 1259 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23931 0 96 0.76874 1.23931 61.2% - 0s
0 0 1.21240 0 143 0.76874 1.21240 57.7% - 0s
0 0 1.21219 0 144 0.76874 1.21219 57.7% - 0s
0 0 1.20263 0 164 0.76874 1.20263 56.4% - 0s
0 0 1.20027 0 165 0.76874 1.20027 56.1% - 0s
0 0 1.19111 0 202 0.76874 1.19111 54.9% - 0s
0 0 1.19107 0 202 0.76874 1.19107 54.9% - 0s
0 0 1.18692 0 211 0.76874 1.18692 54.4% - 0s
0 0 1.18675 0 211 0.76874 1.18675 54.4% - 0s
0 0 1.18665 0 211 0.76874 1.18665 54.4% - 0s
0 0 1.18664 0 210 0.76874 1.18664 54.4% - 0s
0 0 1.18664 0 212 0.76874 1.18664 54.4% - 0s
0 0 1.18664 0 212 0.76874 1.18664 54.4% - 0s
0 0 1.18664 0 146 0.76874 1.18664 54.4% - 0s
0 2 1.18664 0 144 0.76874 1.18664 54.4% - 0s
751 492 1.09322 12 150 0.76874 1.09322 42.2% 23.1 5s
2922 1282 0.98091 30 115 0.76874 1.04628 36.1% 20.3 10s
6829 2836 0.95135 41 113 0.76874 0.97249 26.5% 17.3 15s
10533 3661 0.86726 47 90 0.76874 0.93391 21.5% 16.8 20s
12738 3328 infeasible 66 0.76874 0.89845 16.9% 17.1 25s
16628 3251 infeasible 60 0.76874 0.85695 11.5% 16.0 30s
20317 3265 0.77573 64 72 0.76874 0.83307 8.37% 15.3 35s
23555 2740 0.80459 67 69 0.76874 0.81129 5.53% 15.5 40s
26193 2030 cutoff 68 0.76874 0.79443 3.34% 15.8 45s
29128 502 infeasible 67 0.76874 0.77774 1.17% 16.1 50s
Cutting planes:
Gomory: 44
Cover: 4
Implied bound: 46
Projected implied bound: 29
MIR: 26
Flow cover: 106
Flow path: 1
Inf proof: 280
Explored 29307 nodes (476116 simplex iterations) in 50.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.768745
Optimal solution found (tolerance 1.00e-02)
Best objective 7.687449472774e-01, best bound 7.759826913812e-01, gap 0.9415%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz2taarsr.pyomo.lp
Reading time = 0.02 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7a7uqu2k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.76313
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.234218e+00, 1347 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23422 0 96 0.76313 1.23422 61.7% - 0s
0 0 1.19702 0 172 0.76313 1.19702 56.9% - 0s
0 0 1.19669 0 173 0.76313 1.19669 56.8% - 0s
0 0 1.19116 0 186 0.76313 1.19116 56.1% - 0s
0 0 1.19014 0 177 0.76313 1.19014 56.0% - 0s
0 0 1.18333 0 196 0.76313 1.18333 55.1% - 0s
0 0 1.18130 0 208 0.76313 1.18130 54.8% - 0s
0 0 1.17911 0 208 0.76313 1.17911 54.5% - 0s
0 0 1.17805 0 213 0.76313 1.17805 54.4% - 0s
0 0 1.17757 0 208 0.76313 1.17757 54.3% - 0s
0 0 1.17756 0 207 0.76313 1.17756 54.3% - 0s
0 0 1.17754 0 208 0.76313 1.17754 54.3% - 0s
0 0 1.17754 0 208 0.76313 1.17754 54.3% - 0s
0 0 1.17754 0 145 0.76313 1.17754 54.3% - 0s
0 2 1.17754 0 145 0.76313 1.17754 54.3% - 0s
746 530 1.06964 17 156 0.76313 1.09325 43.3% 21.5 5s
H 2223 746 0.7641925 1.05627 38.2% 20.4 8s
3279 1097 infeasible 37 0.76419 1.02486 34.1% 18.5 10s
8062 2880 0.80624 104 88 0.76419 0.96131 25.8% 13.5 15s
13576 4083 infeasible 63 0.76419 0.92627 21.2% 11.7 20s
H15306 4349 0.7641925 0.90921 19.0% 11.1 22s
18490 5055 0.87106 76 88 0.76419 0.89034 16.5% 10.4 25s
H18812 5216 0.7641925 0.89009 16.5% 10.3 25s
H19013 5349 0.7641925 0.88983 16.4% 10.3 25s
20476 5564 0.77261 100 145 0.76419 0.88183 15.4% 10.1 42s
20485 5570 0.81997 70 199 0.76419 0.88183 15.4% 10.1 45s
20494 5576 0.83175 67 217 0.76419 0.88183 15.4% 10.1 51s
20499 5579 0.87704 43 223 0.76419 0.88183 15.4% 10.1 56s
20504 5583 0.85288 86 237 0.76419 0.88183 15.4% 10.1 60s
20508 5585 0.79085 92 241 0.76419 0.88183 15.4% 10.1 65s
20512 5588 0.81158 91 228 0.76419 0.88183 15.4% 10.1 70s
20517 5591 0.80736 112 234 0.76419 0.88183 15.4% 10.1 75s
20522 5595 0.79118 100 256 0.76419 0.88183 15.4% 10.1 80s
20526 5597 0.80282 65 248 0.76419 0.88183 15.4% 10.1 85s
20530 5600 0.80143 109 251 0.76419 0.88183 15.4% 10.1 90s
20535 5603 0.84566 77 250 0.76419 0.88183 15.4% 10.1 96s
20539 5606 0.80833 72 252 0.76419 0.88183 15.4% 10.1 101s
20543 5609 0.84775 51 257 0.76419 0.88183 15.4% 10.1 106s
20547 5611 0.86606 61 264 0.76419 0.88183 15.4% 10.1 111s
20551 5614 0.82596 89 273 0.76419 0.88183 15.4% 10.1 116s
20555 5617 0.79711 81 266 0.76419 0.88183 15.4% 10.1 121s
20559 5619 0.82087 65 278 0.76419 0.88183 15.4% 10.1 126s
20563 5622 0.78172 111 271 0.76419 0.88183 15.4% 10.1 131s
20567 5625 0.77620 105 275 0.76419 0.88183 15.4% 10.1 135s
20571 5627 0.83741 85 280 0.76419 0.88183 15.4% 10.0 140s
20575 5630 0.82482 90 272 0.76419 0.88183 15.4% 10.0 145s
20579 5633 0.80070 96 276 0.76419 0.88183 15.4% 10.0 150s
20583 5635 0.80804 91 281 0.76419 0.88183 15.4% 10.0 155s
20588 5639 0.83105 78 278 0.76419 0.88183 15.4% 10.0 160s
20592 5641 0.78028 113 282 0.76419 0.88183 15.4% 10.0 165s
20596 5644 0.80458 78 282 0.76419 0.88183 15.4% 10.0 170s
20601 5647 0.77990 86 287 0.76419 0.88183 15.4% 10.0 175s
20607 5651 0.78313 121 291 0.76419 0.88183 15.4% 10.0 181s
20611 5654 0.85137 108 290 0.76419 0.88183 15.4% 10.0 185s
20615 5657 0.87063 54 281 0.76419 0.88183 15.4% 10.0 190s
20618 5659 0.81364 86 289 0.76419 0.88183 15.4% 10.0 195s
20623 5662 0.77015 117 299 0.76419 0.88183 15.4% 10.0 200s
20628 5665 0.80070 98 283 0.76419 0.88183 15.4% 10.0 205s
20632 5668 0.84397 73 269 0.76419 0.88183 15.4% 10.0 210s
20637 5671 0.78736 87 268 0.76419 0.88183 15.4% 10.0 215s
20640 5673 0.78986 102 287 0.76419 0.88183 15.4% 10.0 220s
20644 5676 0.83726 73 274 0.76419 0.88183 15.4% 10.0 225s
20648 5679 0.81165 94 270 0.76419 0.88183 15.4% 10.0 230s
20651 5681 0.82596 89 274 0.76419 0.88183 15.4% 10.0 235s
20656 5684 0.79916 114 272 0.76419 0.88183 15.4% 10.0 241s
20660 5687 0.78737 103 273 0.76419 0.88183 15.4% 10.0 246s
20663 5689 0.78172 111 283 0.76419 0.88183 15.4% 10.0 250s
20670 5693 0.78184 93 271 0.76419 0.88183 15.4% 10.0 255s
H20670 5405 0.7641925 0.88183 15.4% 10.0 257s
20673 5407 0.79684 74 271 0.76419 0.88183 15.4% 10.0 260s
20677 5410 0.76803 100 260 0.76419 0.88183 15.4% 10.0 265s
20680 5412 0.78073 108 278 0.76419 0.88183 15.4% 10.0 270s
20684 5415 0.81504 59 283 0.76419 0.88183 15.4% 10.0 275s
20687 5417 0.86266 93 286 0.76419 0.88183 15.4% 10.0 280s
20691 5419 0.83300 85 283 0.76419 0.88183 15.4% 10.0 286s
20695 5422 0.83643 84 284 0.76419 0.88183 15.4% 10.0 292s
20697 5425 0.88183 24 247 0.76419 0.88183 15.4% 13.2 302s
20702 5425 infeasible 26 0.76419 0.88183 15.4% 13.3 305s
20723 5436 0.88183 32 249 0.76419 0.88183 15.4% 13.8 310s
20798 5436 infeasible 43 0.76419 0.88183 15.4% 14.4 315s
20914 5428 0.88183 44 210 0.76419 0.88183 15.4% 15.1 320s
21081 5432 0.88183 35 252 0.76419 0.88183 15.4% 16.2 326s
H21131 5158 0.7641925 0.88183 15.4% 16.9 329s
21138 5155 0.88183 34 227 0.76419 0.88183 15.4% 17.1 330s
21342 5206 0.82591 43 208 0.76419 0.88183 15.4% 17.9 335s
21467 5169 0.88183 37 239 0.76419 0.88183 15.4% 19.0 340s
21642 5184 infeasible 55 0.76419 0.88183 15.4% 20.0 349s
21648 5179 0.82705 56 171 0.76419 0.88183 15.4% 20.1 351s
21816 5176 infeasible 35 0.76419 0.88183 15.4% 20.8 355s
22001 5174 0.83203 42 211 0.76419 0.88183 15.4% 22.0 361s
22068 5142 0.86014 40 217 0.76419 0.88183 15.4% 22.9 365s
22347 5096 0.85170 43 200 0.76419 0.88183 15.4% 24.4 371s
22662 5102 0.86025 54 175 0.76419 0.88022 15.2% 25.1 375s
23213 5173 0.84918 42 197 0.76419 0.87511 14.5% 26.1 381s
23416 5186 0.86101 36 216 0.76419 0.87396 14.4% 26.8 386s
23663 5146 0.79158 41 218 0.76419 0.87255 14.2% 28.2 391s
23717 5112 infeasible 47 0.76419 0.87255 14.2% 28.5 395s
24067 5048 0.85608 37 246 0.76419 0.86310 12.9% 29.8 401s
24696 5014 0.84304 41 231 0.76419 0.85764 12.2% 30.6 406s
25239 4931 cutoff 54 0.76419 0.85341 11.7% 31.3 411s
26085 4953 infeasible 72 0.76419 0.84634 10.8% 31.5 421s
26541 4892 0.78970 55 133 0.76419 0.84535 10.6% 31.9 427s
26909 4868 infeasible 57 0.76419 0.83991 9.91% 32.1 430s
27791 4707 infeasible 45 0.76419 0.83337 9.05% 32.4 436s
28578 4524 0.80598 44 191 0.76419 0.82770 8.31% 33.0 442s
29076 4396 infeasible 55 0.76419 0.82613 8.10% 33.2 445s
30205 4245 0.82177 51 175 0.76419 0.82177 7.53% 33.3 452s
30725 4185 0.81282 52 152 0.76419 0.81824 7.07% 33.5 456s
31705 3961 infeasible 51 0.76419 0.81263 6.34% 33.8 462s
32470 3778 infeasible 64 0.76419 0.80802 5.74% 34.0 467s
33153 3519 0.79881 57 143 0.76419 0.80367 5.17% 34.2 472s
33738 3288 0.78940 61 130 0.76419 0.80070 4.78% 34.5 476s
34025 3237 0.79397 60 129 0.76419 0.79844 4.48% 34.5 480s
34571 3040 infeasible 63 0.76419 0.79467 3.99% 34.5 485s
35483 2811 cutoff 63 0.76419 0.79267 3.73% 34.4 490s
36584 2607 0.78190 66 128 0.76419 0.78842 3.17% 34.4 495s
37564 2519 infeasible 64 0.76419 0.78594 2.85% 34.4 500s
38311 2363 infeasible 72 0.76419 0.78373 2.56% 34.4 505s
39050 2187 infeasible 79 0.76419 0.78182 2.31% 34.5 510s
40023 1830 cutoff 65 0.76419 0.77921 1.97% 34.5 515s
41050 1475 infeasible 78 0.76419 0.77651 1.61% 34.4 520s
42230 936 infeasible 78 0.76419 0.77281 1.13% 34.2 525s
Cutting planes:
Learned: 5
Gomory: 193
Cover: 20
Implied bound: 47
Projected implied bound: 52
Clique: 4
MIR: 219
StrongCG: 15
Flow cover: 657
Flow path: 6
Inf proof: 15
Zero half: 2
Explored 42686 nodes (1459667 simplex iterations) in 526.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.764193 0.764192 0.764192 ... 0.76313
Optimal solution found (tolerance 1.00e-02)
Best objective 7.641924953765e-01, best bound 7.713763131342e-01, gap 0.9401%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi22tob74.pyomo.lp
Reading time = 0.02 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmihzjqrj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.751646
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.210630e+00, 1481 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21063 0 101 0.75165 1.21063 61.1% - 0s
0 0 1.18511 0 147 0.75165 1.18511 57.7% - 0s
0 0 1.18488 0 153 0.75165 1.18488 57.6% - 0s
0 0 1.17989 0 187 0.75165 1.17989 57.0% - 0s
0 0 1.17754 0 185 0.75165 1.17754 56.7% - 0s
0 0 1.17369 0 181 0.75165 1.17369 56.1% - 0s
0 0 1.17235 0 187 0.75165 1.17235 56.0% - 0s
0 0 1.16639 0 193 0.75165 1.16639 55.2% - 0s
0 0 1.16231 0 194 0.75165 1.16231 54.6% - 0s
0 0 1.16182 0 195 0.75165 1.16182 54.6% - 0s
0 0 1.15997 0 200 0.75165 1.15997 54.3% - 0s
0 0 1.15991 0 208 0.75165 1.15991 54.3% - 0s
0 0 1.15991 0 206 0.75165 1.15991 54.3% - 0s
0 0 1.15990 0 206 0.75165 1.15990 54.3% - 0s
0 0 1.15990 0 206 0.75165 1.15990 54.3% - 0s
0 0 1.15990 0 141 0.75165 1.15990 54.3% - 0s
0 2 1.15990 0 141 0.75165 1.15990 54.3% - 0s
1536 632 1.05220 21 143 0.75165 1.05609 40.5% 17.6 5s
7009 2038 0.86122 52 140 0.75165 0.92244 22.7% 10.1 10s
11772 3441 0.81329 83 81 0.75165 0.89283 18.8% 9.3 15s
H13052 3697 0.7516460 0.88427 17.6% 9.2 16s
16679 4259 0.75566 107 79 0.75165 0.86824 15.5% 9.1 20s
H18829 4509 0.7516460 0.85981 14.4% 9.1 23s
20580 4662 infeasible 73 0.75165 0.85237 13.4% 9.0 25s
20757 4684 0.77004 115 141 0.75165 0.85159 13.3% 9.0 41s
20777 4697 0.81722 89 232 0.75165 0.85159 13.3% 9.0 45s
20792 4707 0.83142 52 246 0.75165 0.85159 13.3% 9.0 50s
20808 4718 0.76062 94 242 0.75165 0.85159 13.3% 9.0 55s
20819 4725 0.76748 112 249 0.75165 0.85159 13.3% 9.0 60s
20833 4735 0.84395 82 258 0.75165 0.85159 13.3% 9.0 65s
20837 4738 0.85159 28 213 0.75165 0.85159 13.3% 9.2 70s
20907 4757 0.85159 40 193 0.75165 0.85159 13.3% 9.4 75s
H21141 4558 0.7516460 0.85159 13.3% 9.9 79s
21244 4580 0.85159 85 116 0.75165 0.85159 13.3% 10.0 80s
22689 4608 0.81348 57 138 0.75165 0.85159 13.3% 10.8 85s
24889 4542 0.85159 54 146 0.75165 0.85159 13.3% 11.5 90s
26821 4350 cutoff 54 0.75165 0.85159 13.3% 11.2 95s
31407 4749 0.76870 93 41 0.75165 0.85159 13.3% 10.8 100s
33978 4534 0.81362 69 97 0.75165 0.85159 13.3% 11.0 105s
36358 4559 0.83944 95 88 0.75165 0.83944 11.7% 11.1 110s
38421 4451 0.81394 84 75 0.75165 0.82789 10.1% 11.3 115s
40399 4196 0.80582 78 94 0.75165 0.81543 8.49% 11.5 120s
42725 3901 0.79671 76 72 0.75165 0.80481 7.07% 11.6 125s
45188 3462 0.79052 76 85 0.75165 0.79531 5.81% 11.7 130s
47543 2895 0.76907 96 84 0.75165 0.78671 4.67% 11.8 135s
49497 2302 infeasible 104 0.75165 0.77778 3.48% 11.9 140s
51289 1866 infeasible 82 0.75165 0.77120 2.60% 11.9 145s
53649 1072 cutoff 79 0.75165 0.76379 1.62% 11.9 150s
Cutting planes:
Learned: 1
Gomory: 93
Cover: 1
Implied bound: 19
Projected implied bound: 40
Clique: 1
MIR: 36
Flow cover: 99
Explored 54783 nodes (656030 simplex iterations) in 152.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.751646 0.751646 0.751646 0.751646
Optimal solution found (tolerance 1.00e-02)
Best objective 7.516460065665e-01, best bound 7.586272071015e-01, gap 0.9288%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8hdftjmw.pyomo.lp
Reading time = 0.02 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpopkrsgwz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.743997
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.201688e+00, 1365 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20169 0 100 0.74400 1.20169 61.5% - 0s
0 0 1.17698 0 160 0.74400 1.17698 58.2% - 0s
0 0 1.17695 0 155 0.74400 1.17695 58.2% - 0s
0 0 1.15109 0 160 0.74400 1.15109 54.7% - 0s
0 0 1.15066 0 167 0.74400 1.15066 54.7% - 0s
0 0 1.14492 0 191 0.74400 1.14492 53.9% - 0s
0 0 1.14289 0 206 0.74400 1.14289 53.6% - 0s
0 0 1.13901 0 223 0.74400 1.13901 53.1% - 0s
0 0 1.13901 0 226 0.74400 1.13901 53.1% - 0s
0 0 1.13878 0 227 0.74400 1.13878 53.1% - 0s
0 0 1.13877 0 227 0.74400 1.13877 53.1% - 0s
0 0 1.13865 0 227 0.74400 1.13865 53.0% - 0s
0 0 1.13865 0 175 0.74400 1.13865 53.0% - 0s
0 2 1.13865 0 174 0.74400 1.13865 53.0% - 0s
751 525 0.99194 21 172 0.74400 1.07772 44.9% 17.9 5s
2152 892 0.97877 20 137 0.74400 1.04642 40.6% 21.0 10s
4130 1315 0.94082 40 105 0.74400 0.97196 30.6% 20.3 15s
8460 2489 infeasible 47 0.74400 0.90879 22.1% 15.6 20s
12886 4053 0.76777 94 73 0.74400 0.88727 19.3% 13.6 25s
H12900 4056 0.7439972 0.88727 19.3% 13.6 25s
17132 5562 0.84745 63 124 0.74400 0.87886 18.1% 12.8 30s
20724 6589 0.76478 98 175 0.74400 0.87157 17.1% 12.8 51s
20736 6597 0.78386 94 234 0.74400 0.87157 17.1% 12.8 55s
20743 6602 0.78520 83 250 0.74400 0.87157 17.1% 12.8 60s
20747 6604 0.76393 110 259 0.74400 0.87157 17.1% 12.8 65s
20752 6608 0.86545 67 254 0.74400 0.87157 17.1% 12.8 70s
20757 6611 0.79346 88 276 0.74400 0.87157 17.1% 12.8 75s
20761 6614 0.79601 76 264 0.74400 0.87157 17.1% 12.8 80s
20768 6618 0.77119 86 263 0.74400 0.87157 17.1% 12.8 85s
20772 6621 0.83511 60 282 0.74400 0.87157 17.1% 12.8 90s
20778 6625 0.80566 48 299 0.74400 0.87157 17.1% 12.8 95s
20782 6628 0.81820 45 293 0.74400 0.87157 17.1% 12.8 101s
20786 6630 0.86418 68 301 0.74400 0.87157 17.1% 12.8 106s
20790 6633 0.80278 76 310 0.74400 0.87157 17.1% 12.8 110s
20794 6636 0.82513 48 312 0.74400 0.87157 17.1% 12.8 115s
20800 6640 0.82508 70 310 0.74400 0.87157 17.1% 12.8 120s
20805 6643 0.77856 73 304 0.74400 0.87157 17.1% 12.8 126s
20808 6645 0.80856 69 328 0.74400 0.87157 17.1% 12.7 130s
20813 6648 0.80975 84 315 0.74400 0.87157 17.1% 12.7 136s
20816 6650 0.86570 61 312 0.74400 0.87157 17.1% 12.7 140s
20821 6654 0.86884 54 318 0.74400 0.87157 17.1% 12.7 146s
20825 6656 0.81467 37 316 0.74400 0.87157 17.1% 12.7 151s
20829 6659 0.86497 86 327 0.74400 0.87157 17.1% 12.7 155s
20835 6663 0.80331 90 324 0.74400 0.87157 17.1% 12.7 160s
20840 6666 0.75521 116 313 0.74400 0.87157 17.1% 12.7 165s
20844 6669 0.85425 77 329 0.74400 0.87157 17.1% 12.7 170s
20849 6672 0.74569 107 322 0.74400 0.87157 17.1% 12.7 175s
20853 6675 0.79192 104 333 0.74400 0.87157 17.1% 12.7 180s
20856 6677 0.78190 91 337 0.74400 0.87157 17.1% 12.7 185s
20860 6680 0.83564 62 334 0.74400 0.87157 17.1% 12.7 190s
20864 6682 0.75562 149 334 0.74400 0.87157 17.1% 12.7 195s
20868 6685 0.77119 86 338 0.74400 0.87157 17.1% 12.7 200s
20875 6690 0.78585 81 324 0.74400 0.87157 17.1% 12.7 205s
20878 6692 0.80566 48 319 0.74400 0.87157 17.1% 12.7 210s
20882 6694 0.81820 45 310 0.74400 0.87157 17.1% 12.7 216s
20888 6698 0.86794 71 322 0.74400 0.87157 17.1% 12.7 221s
20891 6700 0.83282 49 319 0.74400 0.87157 17.1% 12.7 225s
20895 6703 0.79281 89 319 0.74400 0.87157 17.1% 12.7 230s
20898 6705 0.77021 85 313 0.74400 0.87157 17.1% 12.7 235s
20903 6708 0.76779 76 309 0.74400 0.87157 17.1% 12.7 240s
20907 6711 0.74591 187 330 0.74400 0.87157 17.1% 12.7 245s
20910 6713 0.79376 87 319 0.74400 0.87157 17.1% 12.7 250s
20914 6716 0.77817 89 330 0.74400 0.87157 17.1% 12.7 256s
20918 6718 0.82508 57 330 0.74400 0.87157 17.1% 12.7 261s
20921 6720 0.86884 54 336 0.74400 0.87157 17.1% 12.7 265s
20927 6724 0.85222 65 325 0.74400 0.87157 17.1% 12.7 272s
20929 6726 0.86497 86 314 0.74400 0.87157 17.1% 12.7 275s
20933 6728 0.83732 57 309 0.74400 0.87157 17.1% 12.7 280s
20938 6732 0.87027 39 328 0.74400 0.87157 17.1% 12.7 287s
20941 6734 0.83480 65 319 0.74400 0.87157 17.1% 12.7 290s
20944 6736 0.85425 77 350 0.74400 0.87157 17.1% 12.7 296s
20946 6737 0.78856 89 309 0.74400 0.87157 17.1% 12.7 300s
20950 6740 0.77984 81 308 0.74400 0.87157 17.1% 12.7 305s
20953 6742 0.79192 104 304 0.74400 0.87157 17.1% 12.7 310s
20954 6743 0.87157 26 278 0.74400 0.87157 17.1% 16.4 318s
20956 6743 0.87157 27 290 0.74400 0.87157 17.1% 16.4 326s
21016 6756 0.76736 45 230 0.74400 0.87157 17.1% 16.7 331s
21215 6766 0.84072 57 190 0.74400 0.87157 17.1% 17.4 335s
21436 6822 0.85148 47 239 0.74400 0.86737 16.6% 18.0 340s
21766 6871 0.84963 48 232 0.74400 0.85936 15.5% 19.0 345s
22008 6922 0.80384 51 167 0.74400 0.85759 15.3% 19.5 351s
22109 6936 0.76095 57 200 0.74400 0.85385 14.8% 20.3 355s
22357 6936 0.80742 60 201 0.74400 0.84916 14.1% 21.2 360s
22632 6971 0.83725 53 198 0.74400 0.84801 14.0% 21.6 366s
22915 7024 0.75862 59 156 0.74400 0.84610 13.7% 22.2 373s
23048 7018 0.83347 42 233 0.74400 0.84465 13.5% 23.2 376s
23591 7088 0.79324 57 198 0.74400 0.84072 13.0% 24.0 381s
24144 7102 infeasible 55 0.74400 0.83691 12.5% 24.7 386s
24286 7121 infeasible 57 0.74400 0.83670 12.5% 25.1 390s
24593 7062 0.82309 42 234 0.74400 0.83512 12.2% 26.3 395s
24678 7057 0.77542 53 188 0.74400 0.83512 12.2% 26.5 401s
25056 6999 infeasible 54 0.74400 0.83276 11.9% 27.2 407s
25506 6966 infeasible 50 0.74400 0.82756 11.2% 28.4 413s
H25526 6622 0.7439972 0.82718 11.2% 28.5 413s
25528 6595 0.77494 50 193 0.74400 0.82699 11.2% 28.5 415s
26067 6545 0.78024 67 130 0.74400 0.82471 10.8% 29.0 422s
26384 6437 0.74752 48 163 0.74400 0.82209 10.5% 29.5 427s
26754 6357 0.76026 57 156 0.74400 0.82044 10.3% 30.0 430s
27503 6251 0.80494 64 150 0.74400 0.81535 9.59% 30.9 436s
28285 6065 cutoff 57 0.74400 0.80662 8.42% 31.7 442s
28645 5979 0.76490 57 171 0.74400 0.80218 7.82% 32.0 445s
29617 5860 infeasible 52 0.74400 0.79728 7.16% 32.7 451s
29817 5762 0.76838 67 146 0.74400 0.79584 6.97% 32.9 455s
30794 5538 cutoff 62 0.74400 0.78988 6.17% 33.3 460s
31588 5313 infeasible 74 0.74400 0.78475 5.48% 33.7 467s
32162 5187 0.76816 58 133 0.74400 0.78317 5.26% 33.7 470s
33232 4922 cutoff 64 0.74400 0.78022 4.87% 33.8 476s
34129 4655 cutoff 55 0.74400 0.77758 4.51% 34.1 482s
35252 4434 infeasible 78 0.74400 0.77628 4.34% 34.1 488s
35733 4331 0.77515 80 90 0.74400 0.77515 4.19% 34.3 490s
37011 4005 infeasible 80 0.74400 0.77154 3.70% 34.5 497s
37292 3886 0.76181 91 64 0.74400 0.77025 3.53% 34.7 500s
38458 3477 infeasible 75 0.74400 0.76795 3.22% 34.8 507s
39166 3192 0.74698 75 95 0.74400 0.76619 2.98% 34.9 510s
40619 2760 0.75244 77 81 0.74400 0.76352 2.62% 34.9 515s
41818 2587 cutoff 71 0.74400 0.76111 2.30% 34.9 521s
42923 2356 0.75250 86 63 0.74400 0.75916 2.04% 34.7 525s
44201 2050 cutoff 89 0.74400 0.75699 1.75% 34.6 530s
45360 1619 infeasible 85 0.74400 0.75430 1.39% 34.5 535s
Cutting planes:
Learned: 1
Gomory: 196
Cover: 15
Implied bound: 52
Projected implied bound: 48
Clique: 13
MIR: 264
StrongCG: 6
Flow cover: 757
Flow path: 1
GUB cover: 1
Inf proof: 189
Zero half: 2
Explored 46698 nodes (1601235 simplex iterations) in 538.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.743997 0.743997 0.743997
Optimal solution found (tolerance 1.00e-02)
Best objective 7.439972194638e-01, best bound 7.512152396757e-01, gap 0.9702%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkum7jr0t.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpod6wt2rl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.737891
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.190728e+00, 1400 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19073 0 109 0.73789 1.19073 61.4% - 0s
0 0 1.16613 0 179 0.73789 1.16613 58.0% - 0s
0 0 1.16463 0 175 0.73789 1.16463 57.8% - 0s
0 0 1.13828 0 201 0.73789 1.13828 54.3% - 0s
0 0 1.13561 0 190 0.73789 1.13561 53.9% - 0s
0 0 1.13128 0 234 0.73789 1.13128 53.3% - 0s
0 0 1.12451 0 233 0.73789 1.12451 52.4% - 0s
0 0 1.12364 0 232 0.73789 1.12364 52.3% - 0s
0 0 1.12337 0 234 0.73789 1.12337 52.2% - 0s
0 0 1.12200 0 207 0.73789 1.12200 52.1% - 0s
0 0 1.11962 0 238 0.73789 1.11962 51.7% - 0s
0 0 1.11948 0 240 0.73789 1.11948 51.7% - 0s
0 0 1.11948 0 242 0.73789 1.11948 51.7% - 0s
0 0 1.11948 0 233 0.73789 1.11948 51.7% - 0s
0 0 1.11938 0 233 0.73789 1.11938 51.7% - 0s
0 0 1.11923 0 235 0.73789 1.11923 51.7% - 0s
0 0 1.11923 0 185 0.73789 1.11923 51.7% - 0s
0 2 1.11923 0 181 0.73789 1.11923 51.7% - 1s
740 582 1.01828 16 162 0.73789 1.07853 46.2% 20.5 5s
1611 770 0.81206 49 144 0.73789 1.07436 45.6% 25.2 10s
H 3248 1100 0.7378912 1.01510 37.6% 24.0 14s
3416 1179 0.88877 44 164 0.73789 1.01483 37.5% 23.9 15s
7368 2414 0.92226 41 140 0.73789 0.93491 26.7% 18.8 20s
11425 3251 0.74457 79 115 0.73789 0.89275 21.0% 15.3 25s
15867 4354 0.78240 39 116 0.73789 0.86815 17.7% 13.8 30s
19100 5041 infeasible 64 0.73789 0.86022 16.6% 13.7 35s
H20859 5331 0.7378912 0.85406 15.7% 13.8 54s
20862 5333 0.77349 99 108 0.73789 0.85406 15.7% 13.8 55s
20873 5341 0.80886 79 222 0.73789 0.85406 15.7% 13.8 60s
20885 5349 0.81205 106 250 0.73789 0.85406 15.7% 13.7 65s
20893 5354 0.83351 44 249 0.73789 0.85406 15.7% 13.7 71s
20897 5357 0.78938 87 252 0.73789 0.85406 15.7% 13.7 75s
20905 5362 0.78822 95 268 0.73789 0.85406 15.7% 13.7 81s
20910 5365 0.84246 70 271 0.73789 0.85406 15.7% 13.7 85s
20918 5371 0.83450 71 278 0.73789 0.85406 15.7% 13.7 91s
20924 5375 0.78992 74 264 0.73789 0.85406 15.7% 13.7 96s
20930 5379 0.84020 53 296 0.73789 0.85406 15.7% 13.7 100s
20937 5383 0.84265 56 280 0.73789 0.85406 15.7% 13.7 106s
20943 5387 0.78133 98 287 0.73789 0.85406 15.7% 13.7 110s
20948 5391 0.80299 112 300 0.73789 0.85406 15.7% 13.7 115s
20954 5395 0.85205 46 285 0.73789 0.85406 15.7% 13.7 120s
20960 5399 0.85134 26 309 0.73789 0.85406 15.7% 13.7 125s
20968 5404 0.77965 84 311 0.73789 0.85406 15.7% 13.7 130s
20972 5407 0.80107 133 307 0.73789 0.85406 15.7% 13.7 135s
20977 5410 0.77554 79 296 0.73789 0.85406 15.7% 13.7 140s
20983 5414 0.83645 68 314 0.73789 0.85406 15.7% 13.7 145s
20986 5416 0.76391 83 306 0.73789 0.85406 15.7% 13.7 150s
20990 5419 0.78343 82 315 0.73789 0.85406 15.7% 13.7 156s
20993 5421 0.83351 44 317 0.73789 0.85406 15.7% 13.7 160s
20996 5423 0.79793 52 315 0.73789 0.85406 15.7% 13.7 165s
21000 5425 0.83353 74 310 0.73789 0.85406 15.7% 13.7 171s
21003 5427 0.77451 79 324 0.73789 0.85406 15.7% 13.7 175s
H21005 5155 0.7378912 0.85406 15.7% 13.7 181s
21008 5157 0.84652 75 304 0.73789 0.85406 15.7% 13.7 185s
21014 5161 0.79448 85 321 0.73789 0.85406 15.7% 13.7 190s
21017 5163 0.80564 33 296 0.73789 0.85406 15.7% 13.7 195s
21021 5165 0.80379 84 302 0.73789 0.85406 15.7% 13.7 200s
21024 5167 0.78992 74 295 0.73789 0.85406 15.7% 13.7 205s
21030 5171 0.84020 53 314 0.73789 0.85406 15.7% 13.7 210s
21035 5175 0.83973 47 303 0.73789 0.85406 15.7% 13.6 215s
21039 5177 0.81085 65 301 0.73789 0.85406 15.7% 13.6 220s
21044 5181 0.82016 59 300 0.73789 0.85406 15.7% 13.6 225s
21048 5183 0.80299 112 320 0.73789 0.85406 15.7% 13.6 230s
21053 5187 0.85347 78 332 0.73789 0.85406 15.7% 13.6 235s
21058 5190 0.77004 96 327 0.73789 0.85406 15.7% 13.6 241s
21063 5193 0.78873 109 324 0.73789 0.85406 15.7% 13.6 245s
21068 5197 0.77965 84 340 0.73789 0.85406 15.7% 13.6 250s
21074 5201 0.78619 58 331 0.73789 0.85406 15.7% 13.6 257s
21078 5203 0.73933 85 338 0.73789 0.85406 15.7% 13.6 260s
21083 5207 0.83645 68 330 0.73789 0.85406 15.7% 13.6 265s
21088 5210 0.80131 89 331 0.73789 0.85406 15.7% 13.6 271s
21092 5213 0.80655 59 341 0.73789 0.85406 15.7% 13.6 275s
21098 5217 0.76529 92 320 0.73789 0.85406 15.7% 13.6 280s
21102 5219 0.80612 106 345 0.73789 0.85406 15.7% 13.6 285s
21106 5222 0.81739 107 334 0.73789 0.85406 15.7% 13.6 290s
21108 5224 infeasible 21 0.73789 0.85406 15.7% 17.1 300s
21110 5224 0.85406 22 293 0.73789 0.85406 15.7% 17.2 310s
21129 5221 infeasible 28 0.73789 0.85406 15.7% 17.7 315s
H21171 4969 0.7378912 0.85406 15.7% 18.2 319s
21172 4968 infeasible 37 0.73789 0.85406 15.7% 18.2 320s
21285 4966 0.85406 32 295 0.73789 0.85406 15.7% 19.1 325s
21374 4963 infeasible 44 0.73789 0.85406 15.7% 19.9 330s
21419 4957 infeasible 34 0.73789 0.85406 15.7% 20.8 335s
21547 4949 infeasible 31 0.73789 0.85406 15.7% 22.1 340s
21686 4983 0.85116 30 272 0.73789 0.85406 15.7% 23.4 352s
21873 5020 0.84209 47 237 0.73789 0.85406 15.7% 24.1 355s
22016 5045 0.75774 108 100 0.73789 0.85406 15.7% 24.8 366s
22131 5045 infeasible 37 0.73789 0.85406 15.7% 25.7 371s
22230 5015 0.76757 41 274 0.73789 0.85406 15.7% 26.5 375s
22571 5019 cutoff 43 0.73789 0.84907 15.1% 27.5 381s
22870 5087 0.75656 109 102 0.73789 0.84737 14.8% 28.1 385s
23263 5121 0.80516 52 222 0.73789 0.84543 14.6% 29.1 391s
23592 5163 0.73809 150 13 0.73789 0.84401 14.4% 29.7 396s
23838 5123 0.80995 63 189 0.73789 0.84063 13.9% 30.8 401s
24076 5121 0.83416 52 229 0.73789 0.83866 13.7% 31.5 405s
24487 5122 0.77307 46 240 0.73789 0.83593 13.3% 32.5 411s
24864 5103 infeasible 55 0.73789 0.83249 12.8% 33.6 418s
24885 5088 cutoff 49 0.73789 0.83047 12.5% 33.7 422s
25100 5043 cutoff 64 0.73789 0.82794 12.2% 34.2 425s
25437 5048 0.78846 57 212 0.73789 0.82579 11.9% 35.2 431s
25899 5006 0.74184 49 202 0.73789 0.82196 11.4% 36.3 438s
26182 5021 0.77070 60 207 0.73789 0.82082 11.2% 36.9 445s
26552 4923 0.77414 50 209 0.73789 0.81672 10.7% 37.6 454s
26860 4887 infeasible 60 0.73789 0.81487 10.4% 38.0 458s
27248 4816 0.79660 56 188 0.73789 0.81111 9.92% 38.5 462s
27745 4807 infeasible 53 0.73789 0.80808 9.51% 38.8 466s
28053 4738 infeasible 82 0.73789 0.80559 9.17% 39.5 471s
28392 4655 cutoff 61 0.73789 0.80257 8.77% 40.1 475s
28705 4604 0.77484 59 174 0.73789 0.79908 8.29% 40.7 480s
29194 4529 infeasible 45 0.73789 0.79567 7.83% 41.3 485s
29632 4407 0.76583 51 192 0.73789 0.79184 7.31% 42.0 491s
30031 4306 cutoff 52 0.73789 0.79006 7.07% 42.4 495s
30597 4216 cutoff 63 0.73789 0.78623 6.55% 42.6 500s
31482 4005 0.77501 45 215 0.73789 0.78093 5.83% 43.2 508s
31930 3884 0.75387 51 196 0.73789 0.77992 5.70% 43.7 512s
32357 3783 cutoff 96 0.73789 0.77723 5.33% 43.9 516s
32691 3679 cutoff 61 0.73789 0.77540 5.08% 44.2 520s
33391 3445 infeasible 44 0.73789 0.77365 4.85% 44.9 528s
33810 3348 infeasible 67 0.73789 0.77054 4.42% 45.1 531s
34213 3314 0.76806 63 145 0.73789 0.76931 4.26% 45.3 539s
34287 3217 0.74688 67 118 0.73789 0.76888 4.20% 45.3 542s
34649 3120 0.76567 68 134 0.73789 0.76734 3.99% 45.5 547s
35265 2988 0.75734 70 133 0.73789 0.76620 3.84% 45.5 550s
35756 2873 cutoff 66 0.73789 0.76522 3.70% 45.5 555s
36697 2831 0.75256 66 126 0.73789 0.76303 3.41% 45.6 561s
37169 2883 infeasible 78 0.73789 0.76225 3.30% 45.5 565s
38256 2988 infeasible 60 0.73789 0.76065 3.08% 45.4 572s
39029 2980 infeasible 88 0.73789 0.75923 2.89% 45.6 577s
39336 2939 0.75530 61 142 0.73789 0.75863 2.81% 45.6 580s
40285 2840 infeasible 72 0.73789 0.75679 2.56% 45.6 586s
40953 2747 cutoff 81 0.73789 0.75568 2.41% 45.5 591s
41475 2628 0.75255 83 91 0.73789 0.75464 2.27% 45.6 595s
42089 2536 cutoff 67 0.73789 0.75367 2.14% 45.5 600s
Cutting planes:
Learned: 5
Gomory: 217
Cover: 26
Implied bound: 52
Projected implied bound: 68
Clique: 12
MIR: 340
StrongCG: 10
Flow cover: 906
Flow path: 3
Inf proof: 176
Zero half: 1
Explored 42357 nodes (1931130 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.737891 0.737891 0.737891 ... 0.737891
Time limit reached
Best objective 7.378911952559e-01, best bound 7.532259147203e-01, gap 2.0782%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3412_9fl.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprelu3lwm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.730977
Presolve removed 793 rows and 493 columns
Presolve time: 0.04s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.173114e+00, 1476 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17311 0 111 0.73098 1.17311 60.5% - 0s
0 0 1.15111 0 176 0.73098 1.15111 57.5% - 0s
0 0 1.14822 0 172 0.73098 1.14822 57.1% - 0s
0 0 1.12498 0 195 0.73098 1.12498 53.9% - 0s
0 0 1.12265 0 206 0.73098 1.12265 53.6% - 0s
0 0 1.11771 0 219 0.73098 1.11771 52.9% - 0s
0 0 1.11578 0 219 0.73098 1.11578 52.6% - 0s
0 0 1.11479 0 229 0.73098 1.11479 52.5% - 0s
0 0 1.11458 0 234 0.73098 1.11458 52.5% - 0s
0 0 1.11316 0 232 0.73098 1.11316 52.3% - 0s
0 0 1.11192 0 232 0.73098 1.11192 52.1% - 0s
0 0 1.10863 0 201 0.73098 1.10863 51.7% - 0s
0 0 1.10661 0 221 0.73098 1.10661 51.4% - 0s
0 0 1.10619 0 230 0.73098 1.10619 51.3% - 0s
0 0 1.10616 0 235 0.73098 1.10616 51.3% - 0s
0 0 1.10606 0 229 0.73098 1.10606 51.3% - 0s
0 0 1.10590 0 222 0.73098 1.10590 51.3% - 0s
0 0 1.10583 0 231 0.73098 1.10583 51.3% - 0s
0 0 1.10583 0 201 0.73098 1.10583 51.3% - 1s
0 2 1.10583 0 200 0.73098 1.10583 51.3% - 1s
744 520 0.98452 27 168 0.73098 1.06412 45.6% 22.4 5s
1121 627 0.91302 53 132 0.73098 1.04129 42.5% 30.7 10s
H 2288 1009 0.7309767 1.01763 39.2% 25.9 14s
2523 1136 0.90600 48 142 0.73098 1.01218 38.5% 26.1 15s
3559 1632 0.96509 19 173 0.73098 1.00162 37.0% 27.6 20s
5486 2372 0.89079 27 138 0.73098 0.97994 34.1% 27.0 25s
H 5758 2509 0.7309767 0.97393 33.2% 26.5 26s
7209 2710 infeasible 29 0.73098 0.93685 28.2% 24.8 30s
9729 3073 0.87890 49 161 0.73098 0.90694 24.1% 22.5 35s
12184 3281 infeasible 31 0.73098 0.88654 21.3% 21.2 40s
15623 3845 0.86678 39 129 0.73098 0.86772 18.7% 19.4 45s
18415 4041 infeasible 48 0.73098 0.85124 16.5% 18.7 50s
19976 3889 infeasible 40 0.73098 0.84144 15.1% 18.5 55s
20639 3993 0.82655 53 201 0.73098 0.83966 14.9% 18.4 73s
20649 4000 0.82894 50 193 0.73098 0.83966 14.9% 18.4 75s
20657 4005 0.81155 119 188 0.73098 0.83966 14.9% 18.4 80s
20667 4012 0.76956 83 205 0.73098 0.83966 14.9% 18.4 85s
20677 4018 0.76975 67 208 0.73098 0.83966 14.9% 18.4 90s
20686 4024 0.81707 47 224 0.73098 0.83966 14.9% 18.4 96s
20692 4028 0.75070 83 221 0.73098 0.83966 14.9% 18.4 100s
20699 4033 0.77804 135 236 0.73098 0.83966 14.9% 18.4 105s
20705 4037 0.76673 95 231 0.73098 0.83966 14.9% 18.4 110s
20711 4041 0.80382 47 241 0.73098 0.83966 14.9% 18.4 116s
20716 4044 0.79131 46 249 0.73098 0.83966 14.9% 18.4 120s
20722 4048 0.76411 44 253 0.73098 0.83966 14.9% 18.4 125s
20729 4053 0.82931 51 252 0.73098 0.83966 14.9% 18.4 130s
20735 4057 0.83720 51 270 0.73098 0.83966 14.9% 18.4 136s
20741 4061 0.82313 58 258 0.73098 0.83966 14.9% 18.4 141s
20747 4065 0.79047 51 275 0.73098 0.83883 14.8% 18.3 146s
20750 4067 0.75831 68 272 0.73098 0.83833 14.7% 18.3 150s
20757 4072 0.81155 119 279 0.73098 0.83654 14.4% 18.3 155s
20761 4074 0.81708 75 279 0.73098 0.83517 14.3% 18.3 160s
20766 4078 0.76623 55 279 0.73098 0.83437 14.1% 18.3 165s
20772 4082 0.74521 38 280 0.73098 0.83252 13.9% 18.3 170s
20777 4085 0.76975 67 279 0.73098 0.83144 13.7% 18.3 175s
20783 4089 0.75890 51 291 0.73098 0.83084 13.7% 18.3 180s
20788 4092 0.79379 49 292 0.73098 0.83037 13.6% 18.3 185s
20794 4096 0.77291 45 296 0.73098 0.82955 13.5% 18.3 190s
20800 4100 0.82856 66 301 0.73098 0.82922 13.4% 18.3 195s
20806 4104 0.75561 48 298 0.73098 0.82908 13.4% 18.3 200s
20811 4108 0.80382 47 293 0.73098 0.82866 13.4% 18.3 205s
20817 4112 0.75773 86 295 0.73098 0.82832 13.3% 18.3 210s
20822 4115 0.76411 44 291 0.73098 0.82810 13.3% 18.3 215s
20828 4119 0.74604 53 298 0.73098 0.82766 13.2% 18.3 220s
20832 4122 0.78796 103 298 0.73098 0.82757 13.2% 18.3 225s
20836 4124 0.82569 56 291 0.73098 0.82744 13.2% 18.3 230s
20840 4127 0.74486 152 292 0.73098 0.82732 13.2% 18.3 235s
20844 4130 0.76214 101 298 0.73098 0.82729 13.2% 18.3 240s
20850 4134 0.75831 68 290 0.73098 0.82711 13.2% 18.3 245s
20855 4137 0.74545 47 286 0.73098 0.82696 13.1% 18.3 250s
20859 4140 0.76113 75 289 0.73098 0.82686 13.1% 18.2 255s
20865 4144 0.77443 50 285 0.73098 0.82682 13.1% 18.2 260s
20871 4148 0.80456 52 299 0.73098 0.82677 13.1% 18.2 265s
20877 4152 0.76975 67 294 0.73098 0.82663 13.1% 18.2 270s
20883 4156 0.75890 51 293 0.73098 0.82661 13.1% 18.2 275s
20889 4160 0.82660 38 298 0.73098 0.82660 13.1% 18.2 280s
20893 4164 0.82512 19 286 0.73098 0.82659 13.1% 19.8 292s
20895 4163 0.80172 20 275 0.73098 0.82613 13.0% 19.8 299s
20900 4165 0.76075 22 222 0.73098 0.82596 13.0% 19.9 300s
21008 4164 infeasible 43 0.73098 0.82569 13.0% 20.5 305s
21217 4140 infeasible 35 0.73098 0.81941 12.1% 21.2 310s
21513 4134 0.80507 33 218 0.73098 0.81767 11.9% 22.3 315s
21746 4124 0.74252 50 199 0.73098 0.81603 11.6% 23.5 320s
21911 4105 0.73267 53 178 0.73098 0.81445 11.4% 24.4 326s
22161 4115 cutoff 45 0.73098 0.81200 11.1% 25.4 330s
22484 4118 0.73527 38 183 0.73098 0.80833 10.6% 26.8 335s
22750 4142 0.79724 34 227 0.73098 0.80706 10.4% 28.0 340s
23085 4123 0.74482 37 153 0.73098 0.80383 10.0% 29.5 346s
23339 4104 0.77929 39 188 0.73098 0.80166 9.67% 30.4 350s
23593 4095 0.78303 40 151 0.73098 0.80060 9.52% 31.4 355s
24109 4094 infeasible 60 0.73098 0.79869 9.26% 32.3 362s
24510 4085 cutoff 33 0.73098 0.79503 8.76% 33.0 367s
24944 4087 0.75295 43 173 0.73098 0.79141 8.27% 33.6 372s
25251 4113 0.74128 50 121 0.73098 0.78998 8.07% 33.9 375s
25752 4085 cutoff 39 0.73098 0.78654 7.60% 34.6 380s
25977 4030 0.75489 39 186 0.73098 0.78405 7.26% 35.3 386s
26464 3953 0.75873 41 189 0.73098 0.77842 6.49% 36.3 392s
26764 3918 infeasible 37 0.73098 0.77670 6.26% 36.9 396s
27931 3935 0.74971 46 145 0.73098 0.77288 5.73% 37.3 402s
28325 3941 cutoff 35 0.73098 0.77022 5.37% 37.6 406s
28942 3955 cutoff 47 0.73098 0.76829 5.10% 38.0 410s
29829 3797 0.75033 42 171 0.73098 0.76630 4.83% 38.8 418s
30153 3710 0.73479 54 135 0.73098 0.76437 4.57% 39.2 421s
30598 3617 0.73766 49 153 0.73098 0.76149 4.17% 39.5 425s
31492 3413 0.73326 45 126 0.73098 0.75791 3.68% 40.2 433s
31961 3327 cutoff 49 0.73098 0.75715 3.58% 40.4 436s
32578 3267 infeasible 43 0.73098 0.75557 3.36% 40.4 440s
33620 3190 infeasible 49 0.73098 0.75402 3.15% 40.6 447s
34185 3269 0.73248 53 81 0.73098 0.75332 3.06% 40.6 450s
35384 3451 infeasible 44 0.73098 0.75146 2.80% 40.4 456s
35893 3475 0.74144 47 81 0.73098 0.75081 2.71% 40.5 460s
36610 3411 0.74066 51 94 0.73098 0.74983 2.58% 40.8 465s
37188 3340 infeasible 48 0.73098 0.74887 2.45% 41.0 472s
37866 3314 0.73847 51 100 0.73098 0.74767 2.28% 41.0 475s
38417 3227 infeasible 32 0.73098 0.74664 2.14% 41.1 480s
39122 3043 cutoff 64 0.73098 0.74534 1.96% 41.1 487s
39714 2934 0.74221 62 78 0.73098 0.74440 1.84% 41.1 490s
40342 2731 infeasible 50 0.73098 0.74330 1.69% 41.4 496s
40787 2592 cutoff 54 0.73098 0.74257 1.59% 41.5 500s
41501 2310 infeasible 46 0.73098 0.74101 1.37% 41.6 506s
42120 2092 cutoff 58 0.73098 0.73993 1.23% 41.6 510s
Cutting planes:
Learned: 6
Gomory: 218
Cover: 21
Implied bound: 57
Projected implied bound: 59
Clique: 8
MIR: 279
StrongCG: 6
Flow cover: 797
Flow path: 3
GUB cover: 1
Inf proof: 112
Zero half: 2
Explored 42856 nodes (1806069 simplex iterations) in 514.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.730977 0.730977 0.730977
Optimal solution found (tolerance 1.00e-02)
Best objective 7.309766770271e-01, best bound 7.382276277538e-01, gap 0.9920%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpch0cr0mu.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiakif142.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.724366
Presolve removed 806 rows and 501 columns
Presolve time: 0.05s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.173945e+00, 1598 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17394 0 104 0.72437 1.17394 62.1% - 0s
0 0 1.15307 0 161 0.72437 1.15307 59.2% - 0s
0 0 1.15275 0 163 0.72437 1.15275 59.1% - 0s
0 0 1.12278 0 191 0.72437 1.12278 55.0% - 0s
0 0 1.12121 0 184 0.72437 1.12121 54.8% - 0s
0 0 1.10941 0 225 0.72437 1.10941 53.2% - 0s
0 0 1.10725 0 226 0.72437 1.10725 52.9% - 0s
0 0 1.10661 0 225 0.72437 1.10661 52.8% - 0s
0 0 1.10657 0 226 0.72437 1.10657 52.8% - 0s
0 0 1.10642 0 227 0.72437 1.10642 52.7% - 0s
0 0 1.10641 0 227 0.72437 1.10641 52.7% - 0s
0 0 1.10623 0 207 0.72437 1.10623 52.7% - 0s
0 0 1.10623 0 187 0.72437 1.10623 52.7% - 0s
0 2 1.10623 0 185 0.72437 1.10623 52.7% - 1s
748 630 0.87308 31 171 0.72437 1.06835 47.5% 14.1 5s
1561 801 0.87077 41 131 0.72437 1.03430 42.8% 25.0 10s
H 2113 853 0.7243664 1.02613 41.7% 24.9 12s
3197 999 infeasible 34 0.72437 0.98724 36.3% 25.5 15s
H 4696 1522 0.7243664 0.95564 31.9% 22.0 18s
6042 2108 0.74064 52 135 0.72437 0.93355 28.9% 20.6 20s
9555 3226 infeasible 43 0.72437 0.90708 25.2% 18.8 25s
13739 4356 0.84881 51 152 0.72437 0.88615 22.3% 17.1 30s
H14410 4612 0.7243664 0.88479 22.1% 16.9 31s
16371 4920 infeasible 61 0.72437 0.87884 21.3% 16.4 35s
20902 6183 0.79217 61 187 0.72437 0.86985 20.1% 15.5 57s
20912 6190 0.75573 75 211 0.72437 0.86985 20.1% 15.5 60s
20921 6196 0.80835 50 244 0.72437 0.86985 20.1% 15.5 65s
20925 6198 0.84274 65 229 0.72437 0.86985 20.1% 15.5 70s
20930 6202 0.76708 46 243 0.72437 0.86985 20.1% 15.5 75s
20938 6207 0.86668 63 245 0.72437 0.86985 20.1% 15.5 80s
20944 6211 0.82744 47 247 0.72437 0.86985 20.1% 15.5 85s
20951 6216 0.85457 48 246 0.72437 0.86985 20.1% 15.5 90s
20955 6218 0.86719 58 255 0.72437 0.86985 20.1% 15.5 95s
20959 6221 0.74624 84 256 0.72437 0.86985 20.1% 15.5 101s
20963 6224 0.83953 52 270 0.72437 0.86985 20.1% 15.5 105s
20970 6228 0.84348 67 271 0.72437 0.86985 20.1% 15.5 110s
20974 6231 0.76729 92 266 0.72437 0.86896 20.0% 15.5 115s
20979 6234 0.80040 51 283 0.72437 0.86741 19.7% 15.4 121s
20984 6238 0.81082 61 284 0.72437 0.86503 19.4% 15.4 125s
20988 6240 0.79657 105 285 0.72437 0.86279 19.1% 15.4 130s
20993 6244 0.83119 60 295 0.72437 0.86116 18.9% 15.4 135s
20999 6248 0.74254 108 300 0.72437 0.85963 18.7% 15.4 140s
21004 6251 0.78620 141 296 0.72437 0.85707 18.3% 15.4 145s
21009 6254 0.85434 46 300 0.72437 0.85434 17.9% 15.4 151s
21017 6260 0.85153 45 296 0.72437 0.85153 17.6% 15.4 156s
21021 6262 0.80835 50 303 0.72437 0.85078 17.5% 15.4 160s
21025 6265 0.84274 65 312 0.72437 0.84901 17.2% 15.4 165s
21032 6270 0.73673 95 290 0.72437 0.84379 16.5% 15.4 170s
21038 6274 0.84169 63 303 0.72437 0.84169 16.2% 15.4 177s
21040 6275 0.84084 51 291 0.72437 0.84084 16.1% 15.4 180s
21044 6278 0.82744 47 297 0.72437 0.83970 15.9% 15.4 186s
21047 6280 0.74160 100 306 0.72437 0.83934 15.9% 15.4 190s
21050 6282 0.74951 88 295 0.72437 0.83908 15.8% 15.4 195s
21054 6284 0.83880 82 303 0.72437 0.83880 15.8% 15.4 202s
21056 6286 0.83876 80 303 0.72437 0.83876 15.8% 15.4 205s
21060 6288 0.74554 116 309 0.72437 0.83864 15.8% 15.4 212s
21062 6290 0.83854 76 311 0.72437 0.83854 15.8% 15.4 215s
21064 6291 0.83840 89 310 0.72437 0.83840 15.7% 15.4 220s
21068 6294 0.80593 79 316 0.72437 0.83808 15.7% 15.4 227s
21070 6295 0.83795 67 321 0.72437 0.83795 15.7% 15.4 231s
21074 6298 0.76729 92 319 0.72437 0.83711 15.6% 15.4 235s
21077 6300 0.80539 64 334 0.72437 0.83701 15.6% 15.4 240s
21080 6302 0.83424 78 307 0.72437 0.83424 15.2% 15.4 245s
21085 6305 0.83306 56 327 0.72437 0.83306 15.0% 15.4 251s
21089 6308 0.80859 87 319 0.72437 0.83202 14.9% 15.4 255s
21092 6310 0.83113 66 305 0.72437 0.83113 14.7% 15.4 261s
21095 6312 0.78010 83 305 0.72437 0.83079 14.7% 15.4 265s
21098 6314 0.78842 61 301 0.72437 0.83052 14.7% 15.4 270s
21102 6316 0.79217 61 300 0.72437 0.82981 14.6% 15.4 278s
21104 6318 0.78620 141 302 0.72437 0.82969 14.5% 15.4 281s
21107 6320 0.82965 63 299 0.72437 0.82965 14.5% 15.4 285s
21111 6322 0.79779 77 308 0.72437 0.82955 14.5% 15.4 290s
21116 6326 0.82928 76 305 0.72437 0.82928 14.5% 15.3 297s
21119 6328 0.82503 61 310 0.72437 0.82918 14.5% 15.3 300s
21124 6331 0.82838 59 323 0.72437 0.82838 14.4% 15.3 305s
21127 6333 0.77045 57 321 0.72437 0.82814 14.3% 15.3 311s
21130 6335 0.76708 46 315 0.72437 0.82801 14.3% 15.3 315s
21133 6337 0.82787 75 310 0.72437 0.82787 14.3% 15.3 320s
21137 6340 0.77217 104 314 0.72437 0.82782 14.3% 15.3 327s
21139 6341 0.77254 82 305 0.72437 0.82779 14.3% 15.3 330s
21143 6344 0.82766 70 310 0.72437 0.82766 14.3% 15.3 336s
21145 6345 0.80189 68 300 0.72437 0.82756 14.2% 15.3 340s
21148 6347 0.82042 78 310 0.72437 0.82747 14.2% 15.3 345s
21153 6350 0.81563 74 318 0.72437 0.82672 14.1% 15.3 350s
21156 6352 0.82665 80 313 0.72437 0.82665 14.1% 15.3 355s
21157 6355 0.82474 30 292 0.72437 0.82654 14.1% 18.6 364s
21159 6353 0.82446 31 290 0.72437 0.82610 14.0% 18.6 373s
21164 6356 0.82227 33 274 0.72437 0.82434 13.8% 18.7 375s
21220 6347 cutoff 42 0.72437 0.82382 13.7% 19.6 381s
21259 6338 0.73332 39 251 0.72437 0.82364 13.7% 20.1 385s
21496 6337 0.75121 55 225 0.72437 0.82003 13.2% 21.0 390s
21850 6404 0.80468 46 220 0.72437 0.81283 12.2% 21.9 395s
22281 6458 0.74449 47 236 0.72437 0.80644 11.3% 23.0 400s
22588 6450 cutoff 67 0.72437 0.80295 10.8% 23.9 405s
22857 6484 0.74620 52 230 0.72437 0.80147 10.6% 24.4 410s
23452 6571 0.76817 51 241 0.72437 0.80016 10.5% 25.2 415s
23971 6625 infeasible 74 0.72437 0.79931 10.3% 26.2 420s
24441 6640 cutoff 52 0.72437 0.79649 10.0% 26.9 425s
24995 6610 0.74186 71 132 0.72437 0.79176 9.30% 27.7 430s
25388 6604 0.74245 64 141 0.72437 0.78983 9.04% 28.3 435s
25698 6558 0.77882 63 157 0.72437 0.78746 8.71% 28.8 440s
26006 6519 infeasible 65 0.72437 0.78674 8.61% 29.3 445s
26366 6440 infeasible 67 0.72437 0.78357 8.17% 30.4 461s
26514 6347 infeasible 59 0.72437 0.78148 7.89% 31.0 467s
26804 6337 0.73900 67 174 0.72437 0.77940 7.60% 31.3 470s
27086 6283 0.74624 57 161 0.72437 0.77757 7.34% 31.8 477s
27398 6243 0.77027 61 196 0.72437 0.77535 7.04% 32.2 481s
27690 6199 cutoff 55 0.72437 0.77385 6.83% 32.8 485s
27942 6146 0.76893 59 190 0.72437 0.77267 6.67% 33.4 491s
28353 6131 0.75958 67 164 0.72437 0.77032 6.34% 33.9 495s
28735 6068 infeasible 75 0.72437 0.76969 6.26% 34.7 500s
29302 6006 0.75064 62 158 0.72437 0.76811 6.04% 35.1 507s
29926 5982 0.75531 61 183 0.72437 0.76724 5.92% 35.2 511s
30445 5940 0.75172 64 170 0.72437 0.76495 5.60% 35.5 515s
31028 5885 0.74847 65 172 0.72437 0.76303 5.34% 35.8 520s
31600 5782 cutoff 59 0.72437 0.76211 5.21% 36.2 525s
32393 5572 infeasible 80 0.72437 0.75979 4.89% 37.0 533s
32958 5493 infeasible 67 0.72437 0.75876 4.75% 37.2 537s
33513 5368 0.74439 84 89 0.72437 0.75741 4.56% 37.4 542s
34069 5242 cutoff 78 0.72437 0.75614 4.39% 37.6 545s
34900 5026 infeasible 80 0.72437 0.75448 4.16% 38.0 554s
35379 4897 infeasible 79 0.72437 0.75319 3.98% 38.3 557s
35889 4781 cutoff 94 0.72437 0.75231 3.86% 38.4 562s
36415 4677 0.74959 65 181 0.72437 0.75153 3.75% 38.5 565s
37331 4401 0.74637 86 77 0.72437 0.74991 3.53% 38.7 572s
37801 4262 infeasible 69 0.72437 0.74913 3.42% 38.8 576s
38661 3966 cutoff 74 0.72437 0.74797 3.26% 39.0 581s
39679 3671 0.74624 68 154 0.72437 0.74690 3.11% 39.0 587s
40247 3527 0.73784 73 129 0.72437 0.74638 3.04% 39.0 590s
41105 3508 0.73785 82 75 0.72437 0.74535 2.90% 39.0 596s
41982 3552 0.74095 67 135 0.72437 0.74447 2.78% 39.1 600s
Cutting planes:
Gomory: 231
Cover: 25
Implied bound: 57
Projected implied bound: 70
Clique: 18
MIR: 300
StrongCG: 7
Flow cover: 874
Flow path: 2
Inf proof: 168
Zero half: 3
Explored 42026 nodes (1644736 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.724366 0.724366 0.724366 0.724366
Time limit reached
Best objective 7.243664185879e-01, best bound 7.444480068891e-01, gap 2.7723%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp601s54s8.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzq1i4j18.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.722429
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.159911e+00, 1540 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15991 0 112 0.72243 1.15991 60.6% - 0s
0 0 1.13742 0 184 0.72243 1.13742 57.4% - 0s
0 0 1.13718 0 179 0.72243 1.13718 57.4% - 0s
0 0 1.11366 0 185 0.72243 1.11366 54.2% - 0s
0 0 1.11145 0 192 0.72243 1.11145 53.8% - 0s
0 0 1.10073 0 215 0.72243 1.10073 52.4% - 0s
0 0 1.10010 0 225 0.72243 1.10010 52.3% - 0s
0 0 1.09830 0 232 0.72243 1.09830 52.0% - 0s
0 0 1.09826 0 239 0.72243 1.09826 52.0% - 0s
0 0 1.09810 0 233 0.72243 1.09810 52.0% - 0s
0 0 1.09803 0 237 0.72243 1.09803 52.0% - 0s
0 0 1.09689 0 235 0.72243 1.09689 51.8% - 0s
0 0 1.09689 0 234 0.72243 1.09689 51.8% - 0s
0 0 1.09689 0 232 0.72243 1.09689 51.8% - 0s
0 0 1.09689 0 232 0.72243 1.09689 51.8% - 0s
0 0 1.09689 0 194 0.72243 1.09689 51.8% - 1s
0 2 1.09689 0 192 0.72243 1.09689 51.8% - 1s
781 620 0.94174 17 168 0.72243 1.01158 40.0% 18.7 5s
1738 843 infeasible 25 0.72243 1.01158 40.0% 23.9 10s
H 3288 1431 0.7224290 0.99163 37.3% 21.5 14s
3399 1442 infeasible 28 0.72243 0.98773 36.7% 21.8 15s
6032 1538 infeasible 53 0.72243 0.90830 25.7% 19.5 20s
9610 2651 0.82425 64 144 0.72243 0.87514 21.1% 16.2 25s
13505 3762 0.78655 74 105 0.72243 0.85884 18.9% 15.1 30s
16062 4213 0.83800 71 126 0.72243 0.84634 17.2% 14.9 35s
19326 4889 0.81646 69 99 0.72243 0.83316 15.3% 14.7 40s
20820 5203 0.79406 76 194 0.72243 0.82845 14.7% 14.8 64s
20823 5205 0.79900 78 203 0.72243 0.82845 14.7% 14.8 65s
20831 5210 0.81891 65 270 0.72243 0.82845 14.7% 14.8 70s
20839 5216 0.80955 72 280 0.72243 0.82845 14.7% 14.8 76s
20843 5218 0.79679 75 282 0.72243 0.82845 14.7% 14.8 80s
20848 5222 0.73489 86 296 0.72243 0.82845 14.7% 14.8 85s
20853 5225 0.82759 59 291 0.72243 0.82845 14.7% 14.8 91s
20858 5228 0.79642 74 307 0.72243 0.82845 14.7% 14.8 95s
20863 5232 0.78957 107 304 0.72243 0.82845 14.7% 14.8 100s
20868 5235 0.73079 72 311 0.72243 0.82845 14.7% 14.8 105s
20872 5238 0.77814 73 322 0.72243 0.82845 14.7% 14.8 110s
20877 5241 0.75883 101 315 0.72243 0.82845 14.7% 14.8 115s
20882 5244 0.74260 95 328 0.72243 0.82845 14.7% 14.8 120s
20887 5248 0.75652 87 318 0.72243 0.82845 14.7% 14.8 125s
20891 5250 0.80780 83 326 0.72243 0.82845 14.7% 14.8 130s
20894 5252 0.81299 70 323 0.72243 0.82845 14.7% 14.8 135s
20899 5256 0.77045 77 333 0.72243 0.82845 14.7% 14.8 140s
20903 5258 0.76165 78 342 0.72243 0.82845 14.7% 14.8 145s
20907 5261 0.82374 68 336 0.72243 0.82845 14.7% 14.8 150s
20910 5263 0.82470 62 327 0.72243 0.82845 14.7% 14.8 155s
20914 5266 0.80837 67 334 0.72243 0.82845 14.7% 14.8 162s
20916 5267 0.73814 123 339 0.72243 0.82845 14.7% 14.8 165s
20919 5269 0.78779 73 333 0.72243 0.82845 14.7% 14.8 170s
20921 5270 0.76376 84 336 0.72243 0.82845 14.7% 14.8 175s
20923 5272 0.79900 78 336 0.72243 0.82845 14.7% 14.8 180s
20925 5273 0.82324 72 338 0.72243 0.82845 14.7% 14.8 185s
20929 5276 0.80186 66 360 0.72243 0.82845 14.7% 14.7 191s
20932 5278 0.76981 73 347 0.72243 0.82845 14.7% 14.7 195s
20936 5280 0.78470 85 359 0.72243 0.82845 14.7% 14.7 201s
20939 5282 0.80955 72 353 0.72243 0.82845 14.7% 14.7 205s
20943 5285 0.79679 75 365 0.72243 0.82845 14.7% 14.7 212s
20945 5286 0.81093 75 344 0.72243 0.82845 14.7% 14.7 215s
20947 5288 0.78466 84 357 0.72243 0.82845 14.7% 14.7 221s
20950 5290 0.81609 43 365 0.72243 0.82845 14.7% 14.7 226s
20953 5292 0.82759 59 369 0.72243 0.82845 14.7% 14.7 231s
20955 5293 0.82085 73 357 0.72243 0.82845 14.7% 14.7 236s
20957 5294 0.72452 83 361 0.72243 0.82845 14.7% 14.7 241s
20959 5296 0.74511 99 354 0.72243 0.82845 14.7% 14.7 246s
20962 5298 0.75853 75 358 0.72243 0.82845 14.7% 14.7 251s
20964 5299 0.73281 102 349 0.72243 0.82845 14.7% 14.7 257s
20968 5302 0.73079 72 335 0.72243 0.82845 14.7% 14.7 262s
20971 5304 0.77508 63 331 0.72243 0.82845 14.7% 14.7 266s
20974 5306 0.75124 93 338 0.72243 0.82845 14.7% 14.7 270s
20976 5307 0.74250 119 342 0.72243 0.82845 14.7% 14.7 275s
20979 5309 0.73382 101 347 0.72243 0.82845 14.7% 14.7 281s
20981 5310 0.77180 88 359 0.72243 0.82845 14.7% 14.7 286s
20983 5312 0.81588 64 345 0.72243 0.82845 14.7% 14.7 291s
20985 5313 0.76150 87 326 0.72243 0.82845 14.7% 14.7 301s
20987 5314 0.75652 87 325 0.72243 0.82845 14.7% 14.7 305s
20989 5316 0.75695 134 323 0.72243 0.82845 14.7% 14.7 310s
20991 5317 0.80780 83 348 0.72243 0.82845 14.7% 14.7 316s
20993 5318 0.72972 129 326 0.72243 0.82845 14.7% 14.7 320s
20999 5322 0.77045 77 337 0.72243 0.82672 14.4% 14.7 325s
21002 5324 0.82212 68 323 0.72243 0.82406 14.1% 14.7 331s
21004 5326 0.72422 100 334 0.72243 0.82345 14.0% 14.7 336s
21007 5328 0.82287 68 326 0.72243 0.82287 13.9% 14.7 340s
21010 5330 0.82253 62 314 0.72243 0.82253 13.9% 14.7 346s
21013 5332 0.72929 136 333 0.72243 0.82229 13.8% 14.7 350s
21016 5334 0.73814 123 338 0.72243 0.82194 13.8% 14.7 356s
21018 5335 0.74651 69 322 0.72243 0.82110 13.7% 14.7 360s
21020 5336 0.79406 76 329 0.72243 0.82064 13.6% 14.7 365s
21023 5338 0.79900 78 335 0.72243 0.82018 13.5% 14.7 370s
21026 5340 0.76088 89 330 0.72243 0.81970 13.5% 14.7 377s
21028 5342 0.75232 125 317 0.72243 0.81952 13.4% 14.7 382s
21030 5343 0.77879 77 330 0.72243 0.81905 13.4% 14.7 386s
21032 5344 0.76981 73 330 0.72243 0.81878 13.3% 14.7 390s
21035 5346 0.80012 70 340 0.72243 0.81812 13.2% 14.7 395s
21038 5348 0.78628 92 328 0.72243 0.81718 13.1% 14.7 401s
21040 5350 0.77713 79 331 0.72243 0.81690 13.1% 14.7 405s
21043 5352 0.79679 75 341 0.72243 0.81623 13.0% 14.7 410s
21045 5353 0.81093 75 341 0.72243 0.81615 13.0% 14.7 418s
21046 5355 0.81215 23 327 0.72243 0.81615 13.0% 19.2 431s
21048 5356 0.81000 24 323 0.72243 0.81315 12.6% 19.2 445s
21073 5365 0.77787 31 299 0.72243 0.80774 11.8% 19.6 450s
H21116 5101 0.7224290 0.80774 11.8% 19.8 454s
21117 5098 0.76961 41 289 0.72243 0.80774 11.8% 19.8 455s
21154 5091 infeasible 32 0.72243 0.80770 11.8% 20.5 460s
21276 5117 0.78612 30 320 0.72243 0.80543 11.5% 21.4 465s
21359 5141 infeasible 37 0.72243 0.80543 11.5% 21.7 475s
21389 5138 0.74858 37 284 0.72243 0.80543 11.5% 22.1 481s
21410 5138 infeasible 38 0.72243 0.80543 11.5% 22.6 494s
21428 5135 0.79735 30 309 0.72243 0.80006 10.7% 23.7 499s
21439 5137 0.78081 31 308 0.72243 0.80006 10.7% 24.4 501s
21456 5136 cutoff 33 0.72243 0.80006 10.7% 24.6 505s
21501 5147 cutoff 40 0.72243 0.80006 10.7% 25.1 513s
21530 5147 infeasible 44 0.72243 0.80006 10.7% 26.2 517s
21569 5149 infeasible 44 0.72243 0.80006 10.7% 26.7 522s
21661 5132 0.75272 50 228 0.72243 0.80003 10.7% 27.1 528s
21696 5144 0.77357 38 278 0.72243 0.79788 10.4% 27.5 532s
21752 5162 0.76847 42 260 0.72243 0.79756 10.4% 27.7 541s
21812 5172 0.75991 44 231 0.72243 0.79756 10.4% 28.3 545s
21912 5172 0.76460 48 233 0.72243 0.79731 10.4% 29.2 560s
22015 5172 0.75189 31 258 0.72243 0.79728 10.4% 30.1 568s
22043 5169 infeasible 41 0.72243 0.79677 10.3% 30.6 573s
22054 5166 0.79665 36 324 0.72243 0.79665 10.3% 30.7 576s
22082 5166 0.75328 41 291 0.72243 0.79664 10.3% 31.0 582s
22164 5154 infeasible 39 0.72243 0.79664 10.3% 31.6 589s
22208 5150 0.73917 41 293 0.72243 0.79664 10.3% 32.5 594s
22225 5147 0.72612 40 269 0.72243 0.79663 10.3% 32.8 598s
22284 5147 infeasible 44 0.72243 0.79663 10.3% 33.3 600s
Cutting planes:
Learned: 2
Gomory: 185
Cover: 15
Implied bound: 37
Projected implied bound: 37
Clique: 13
MIR: 184
StrongCG: 15
Flow cover: 578
Inf proof: 29
Zero half: 2
Explored 22310 nodes (750114 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.722429 0.722429 0.722429
Time limit reached
Best objective 7.224290458201e-01, best bound 7.966310295876e-01, gap 10.2712%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1d1orhwa.pyomo.lp
Reading time = 0.02 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps82gt5jq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714398
Presolve removed 832 rows and 517 columns
Presolve time: 0.07s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.142890e+00, 1461 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14289 0 117 0.71440 1.14289 60.0% - 0s
0 0 1.12281 0 177 0.71440 1.12281 57.2% - 0s
0 0 1.12246 0 184 0.71440 1.12246 57.1% - 0s
0 0 1.09949 0 193 0.71440 1.09949 53.9% - 0s
0 0 1.09947 0 191 0.71440 1.09947 53.9% - 0s
0 0 1.09287 0 208 0.71440 1.09287 53.0% - 0s
0 0 1.09259 0 217 0.71440 1.09259 52.9% - 0s
0 0 1.08692 0 219 0.71440 1.08692 52.1% - 0s
0 0 1.08523 0 229 0.71440 1.08523 51.9% - 0s
0 0 1.08416 0 237 0.71440 1.08416 51.8% - 0s
0 0 1.08411 0 232 0.71440 1.08411 51.8% - 0s
0 0 1.08170 0 228 0.71440 1.08170 51.4% - 0s
0 0 1.08145 0 234 0.71440 1.08145 51.4% - 0s
0 0 1.08139 0 236 0.71440 1.08139 51.4% - 0s
0 0 1.08131 0 237 0.71440 1.08131 51.4% - 0s
0 0 1.08131 0 237 0.71440 1.08131 51.4% - 0s
0 0 1.08131 0 237 0.71440 1.08131 51.4% - 0s
0 0 1.08131 0 188 0.71440 1.08131 51.4% - 1s
0 2 1.08131 0 188 0.71440 1.08131 51.4% - 1s
742 543 0.94704 22 174 0.71440 1.01041 41.4% 17.4 5s
794 549 1.00481 16 186 0.71440 1.01041 41.4% 25.9 10s
1808 686 0.93619 27 174 0.71440 0.99542 39.3% 25.2 15s
3245 1268 infeasible 33 0.71440 0.95040 33.0% 20.5 20s
5279 2192 0.88908 46 143 0.71440 0.93308 30.6% 19.3 25s
7434 2932 0.88431 48 165 0.71440 0.91826 28.5% 18.4 30s
H 9255 3564 0.7143983 0.90432 26.6% 17.5 34s
9256 3493 0.84640 58 113 0.71440 0.90347 26.5% 17.5 35s
11826 4346 infeasible 57 0.71440 0.88522 23.9% 16.2 40s
14093 4912 infeasible 49 0.71440 0.87488 22.5% 16.2 45s
16045 5315 infeasible 56 0.71440 0.86795 21.5% 16.3 50s
18355 5789 0.76779 71 80 0.71440 0.86104 20.5% 16.6 55s
20544 6348 infeasible 92 0.71440 0.85491 19.7% 16.5 60s
21046 6519 0.83719 54 188 0.71440 0.85343 19.5% 16.4 82s
21055 6525 0.80138 65 236 0.71440 0.85343 19.5% 16.4 86s
21058 6527 0.78303 83 246 0.71440 0.85343 19.5% 16.4 90s
21061 6529 0.83164 45 265 0.71440 0.85343 19.5% 16.4 95s
21065 6532 0.74394 96 273 0.71440 0.85343 19.5% 16.4 102s
21068 6534 0.76296 89 285 0.71440 0.85343 19.5% 16.4 106s
21073 6537 0.85080 48 284 0.71440 0.85343 19.5% 16.4 111s
21077 6540 0.73916 86 285 0.71440 0.85343 19.5% 16.4 116s
21080 6542 0.74994 104 292 0.71440 0.85343 19.5% 16.4 120s
21083 6544 0.74970 61 305 0.71440 0.85343 19.5% 16.4 125s
21086 6546 0.74676 70 303 0.71440 0.85343 19.5% 16.4 132s
21089 6548 0.81590 68 303 0.71440 0.85343 19.5% 16.4 135s
21092 6550 0.75132 72 321 0.71440 0.85343 19.5% 16.4 140s
21095 6552 0.73898 137 319 0.71440 0.85343 19.5% 16.4 146s
21098 6554 0.81545 92 316 0.71440 0.85343 19.5% 16.4 150s
21100 6555 0.83565 58 322 0.71440 0.85343 19.5% 16.4 155s
21103 6557 0.83112 56 313 0.71440 0.85343 19.5% 16.4 160s
21106 6559 0.73082 68 314 0.71440 0.85343 19.5% 16.4 165s
21109 6561 0.74313 85 302 0.71440 0.85343 19.5% 16.4 171s
21111 6562 0.74049 108 297 0.71440 0.85343 19.5% 16.4 176s
21115 6565 0.84102 58 323 0.71440 0.85343 19.5% 16.4 180s
H21115 6235 0.7143983 0.85343 19.5% 16.4 183s
21118 6237 0.80572 51 322 0.71440 0.85343 19.5% 16.4 186s
21121 6239 0.80734 40 340 0.71440 0.85343 19.5% 16.4 190s
21124 6241 0.74046 55 328 0.71440 0.85343 19.5% 16.4 196s
21127 6243 0.85028 68 342 0.71440 0.85343 19.5% 16.4 200s
21130 6245 0.80728 78 342 0.71440 0.85343 19.5% 16.4 205s
21133 6247 0.76953 77 329 0.71440 0.85343 19.5% 16.4 210s
21136 6249 0.74767 120 329 0.71440 0.85343 19.5% 16.4 215s
21140 6252 0.80403 68 330 0.71440 0.85343 19.5% 16.4 221s
21142 6253 0.77492 70 338 0.71440 0.85343 19.5% 16.4 226s
21144 6254 0.79249 52 335 0.71440 0.85343 19.5% 16.4 230s
21147 6256 0.76832 69 350 0.71440 0.85343 19.5% 16.4 236s
21149 6258 0.78391 70 345 0.71440 0.85343 19.5% 16.3 240s
21151 6259 0.78949 44 351 0.71440 0.85343 19.5% 16.3 245s
21154 6261 0.78772 78 341 0.71440 0.85343 19.5% 16.3 252s
21156 6262 0.79409 68 348 0.71440 0.85343 19.5% 16.3 256s
21158 6264 0.78303 83 351 0.71440 0.85343 19.5% 16.3 260s
21161 6266 0.83164 45 358 0.71440 0.85343 19.5% 16.3 265s
21164 6268 0.82543 51 353 0.71440 0.85343 19.5% 16.3 270s
21167 6270 0.84695 55 366 0.71440 0.85343 19.5% 16.3 275s
21169 6271 0.77413 94 369 0.71440 0.85343 19.5% 16.3 281s
21171 6272 0.84494 45 362 0.71440 0.85343 19.5% 16.3 285s
21173 6274 0.85080 48 369 0.71440 0.85343 19.5% 16.3 290s
21176 6276 0.84189 57 366 0.71440 0.85343 19.5% 16.3 298s
21177 6276 0.73916 86 369 0.71440 0.85343 19.5% 16.3 300s
21179 6278 0.78655 40 361 0.71440 0.85343 19.5% 16.3 305s
21180 6278 0.74994 104 335 0.71440 0.85343 19.5% 16.3 310s
21182 6280 0.81766 61 328 0.71440 0.85343 19.5% 16.3 316s
21184 6281 0.81699 50 342 0.71440 0.85343 19.5% 16.3 321s
21186 6282 0.74676 70 337 0.71440 0.85343 19.5% 16.3 326s
21188 6284 0.74836 50 345 0.71440 0.85343 19.5% 16.3 333s
21190 6285 0.82346 67 330 0.71440 0.85343 19.5% 16.3 337s
21192 6286 0.75132 72 341 0.71440 0.85343 19.5% 16.3 342s
21194 6288 0.81423 61 333 0.71440 0.85343 19.5% 16.3 346s
21196 6289 0.76325 47 336 0.71440 0.85343 19.5% 16.3 351s
21198 6290 0.81545 92 335 0.71440 0.85343 19.5% 16.3 358s
21200 6292 0.83565 58 332 0.71440 0.85343 19.5% 16.3 362s
21202 6293 0.75601 84 331 0.71440 0.85343 19.5% 16.3 366s
21204 6294 0.85078 77 325 0.71440 0.85343 19.5% 16.3 372s
21206 6296 0.73082 68 321 0.71440 0.85343 19.5% 16.3 376s
21209 6298 0.74313 85 324 0.71440 0.85343 19.5% 16.3 382s
21211 6299 0.74049 108 326 0.71440 0.85343 19.5% 16.3 388s
21212 6300 0.82523 54 327 0.71440 0.85343 19.5% 16.3 390s
21215 6302 0.84102 58 313 0.71440 0.85343 19.5% 16.3 398s
21217 6303 0.73325 62 316 0.71440 0.85343 19.5% 16.3 403s
21218 6304 0.80572 51 324 0.71440 0.85343 19.5% 16.3 405s
21221 6306 0.80734 40 319 0.71440 0.85343 19.5% 16.3 412s
21223 6307 0.84967 50 311 0.71440 0.85343 19.5% 16.3 416s
21226 6309 0.81903 59 326 0.71440 0.85343 19.5% 16.3 421s
21229 6311 0.73812 156 306 0.71440 0.85343 19.5% 16.3 429s
21230 6312 0.80728 78 319 0.71440 0.85343 19.5% 16.3 430s
21233 6314 0.76953 77 317 0.71440 0.85343 19.5% 16.3 437s
21235 6315 0.75358 76 311 0.71440 0.85343 19.5% 16.3 440s
21238 6317 0.78260 88 320 0.71440 0.85343 19.5% 16.3 446s
21240 6318 0.80403 68 323 0.71440 0.85343 19.5% 16.3 450s
21243 6320 0.72784 114 322 0.71440 0.85343 19.5% 16.3 457s
21245 6322 0.73932 72 319 0.71440 0.85343 19.5% 16.3 462s
21247 6323 0.76832 69 317 0.71440 0.85343 19.5% 16.3 467s
21249 6324 0.78391 70 318 0.71440 0.85343 19.5% 16.3 471s
21252 6326 0.82272 61 320 0.71440 0.85343 19.5% 16.3 475s
21255 6328 0.80138 65 316 0.71440 0.85343 19.5% 16.3 482s
21257 6330 0.72806 65 311 0.71440 0.85343 19.5% 16.3 486s
21262 6333 0.75413 78 314 0.71440 0.85343 19.5% 16.3 491s
21263 6336 0.82834 23 284 0.71440 0.85343 19.5% 19.6 504s
21265 6335 infeasible 24 0.71440 0.85078 19.1% 19.6 517s
21268 6336 0.84199 25 300 0.71440 0.84290 18.0% 19.7 520s
21283 6336 0.84155 28 317 0.71440 0.84155 17.8% 20.0 525s
21303 6328 infeasible 33 0.71440 0.84155 17.8% 20.6 530s
21344 6327 0.74712 39 214 0.71440 0.83945 17.5% 21.0 535s
21401 6324 0.72244 52 178 0.71440 0.83945 17.5% 21.3 540s
21488 6321 0.79815 39 246 0.71440 0.83590 17.0% 21.8 545s
21622 6303 0.72218 44 235 0.71440 0.82835 16.0% 22.4 550s
21880 6322 0.76065 56 241 0.71440 0.82708 15.8% 23.3 555s
22015 6309 infeasible 39 0.71440 0.82672 15.7% 23.7 560s
22141 6336 0.82455 45 248 0.71440 0.82671 15.7% 24.3 565s
22340 6364 0.78147 72 187 0.71440 0.82538 15.5% 24.7 571s
22573 6387 0.82356 46 233 0.71440 0.82356 15.3% 25.1 575s
22857 6417 0.79359 57 206 0.71440 0.82188 15.0% 25.7 580s
23034 6418 0.75096 48 260 0.71440 0.82060 14.9% 26.1 585s
23331 6411 0.75406 60 207 0.71440 0.81912 14.7% 26.8 592s
23452 6403 0.78277 68 181 0.71440 0.81912 14.7% 27.1 595s
23706 6422 0.80333 49 220 0.71440 0.81776 14.5% 27.8 600s
Cutting planes:
Learned: 3
Gomory: 185
Cover: 13
Implied bound: 29
Projected implied bound: 51
Clique: 15
MIR: 208
StrongCG: 5
Flow cover: 620
Flow path: 2
Inf proof: 22
Zero half: 2
Explored 23795 nodes (675760 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.714398 0.714398 0.714398
Time limit reached
Best objective 7.143982942224e-01, best bound 8.176978203372e-01, gap 14.4597%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 7
Seed for training 669
Seed for simulation 518
direc: array([[-1.70692598e+01, 9.09771157e+00, 9.09771157e+00],
[-3.70944344e-07, -2.84531867e-05, -5.88213625e-05],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.6785947620105597
fun: -0.6749374254037328
message: 'Optimization terminated successfully.'
nfev: 1141
nit: 13
status: 0
success: True
x: array([ 79.12176252, 165. , 158.00963213])
xopt: array([ 80., 166., 159.])
zopt: array([ 80., 246., 405.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfh5n3hvr.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2pxt3ou6.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [2e-04, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.678595
Presolve removed 845 rows and 525 columns
Presolve time: 0.03s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.127111e+00, 1592 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12711 0 128 0.67859 1.12711 66.1% - 0s
0 0 1.11569 0 162 0.67859 1.11569 64.4% - 0s
0 0 1.11250 0 166 0.67859 1.11250 63.9% - 0s
0 0 1.07796 0 186 0.67859 1.07796 58.9% - 0s
0 0 1.07788 0 186 0.67859 1.07788 58.8% - 0s
0 0 1.07747 0 189 0.67859 1.07747 58.8% - 0s
0 0 1.07600 0 191 0.67859 1.07600 58.6% - 0s
0 0 1.07593 0 194 0.67859 1.07593 58.6% - 0s
0 0 1.07549 0 201 0.67859 1.07549 58.5% - 0s
0 0 1.07301 0 200 0.67859 1.07301 58.1% - 0s
0 0 1.07301 0 200 0.67859 1.07301 58.1% - 0s
0 0 1.07301 0 200 0.67859 1.07301 58.1% - 0s
0 0 1.07301 0 176 0.67859 1.07301 58.1% - 0s
0 2 1.07301 0 172 0.67859 1.07301 58.1% - 0s
752 575 0.98717 10 159 0.67859 1.01608 49.7% 14.7 5s
971 609 0.88948 45 150 0.67859 1.01608 49.7% 24.8 10s
* 1668 657 200 0.6868807 0.98385 43.2% 24.0 13s
2212 647 0.74605 37 161 0.68688 0.96766 40.9% 23.1 15s
4698 1679 infeasible 39 0.68688 0.91900 33.8% 18.8 20s
* 6273 2039 172 0.6869398 0.88732 29.2% 17.0 22s
H 7331 2369 0.7123895 0.88111 23.7% 16.2 24s
7335 2362 0.82476 54 122 0.71239 0.88111 23.7% 16.3 25s
9923 3139 0.76673 56 107 0.71239 0.86478 21.4% 15.5 30s
*11101 3607 137 0.7137931 0.86005 20.5% 15.0 32s
13123 4196 0.72079 59 112 0.71379 0.84722 18.7% 14.6 35s
16557 5381 0.81375 62 154 0.71379 0.83796 17.4% 13.8 40s
*17533 5554 190 0.7211378 0.83595 15.9% 13.6 42s
19553 6223 0.73790 57 139 0.72114 0.82981 15.1% 13.3 45s
*20654 6501 171 0.7216627 0.82637 14.5% 13.1 46s
*20791 6481 156 0.7251107 0.82637 14.0% 13.1 46s
H20908 6441 0.7273378 0.82528 13.5% 13.1 68s
20912 6444 0.75331 113 177 0.72734 0.82528 13.5% 13.1 70s
20923 6451 0.75869 54 230 0.72734 0.82528 13.5% 13.1 75s
20929 6455 0.74956 67 218 0.72734 0.82528 13.5% 13.1 81s
20933 6458 0.76665 83 240 0.72734 0.82528 13.5% 13.1 85s
20940 6463 0.73820 74 243 0.72734 0.82528 13.5% 13.1 91s
20944 6465 0.80380 51 249 0.72734 0.82528 13.5% 13.1 95s
20949 6469 0.77298 78 256 0.72734 0.82528 13.5% 13.1 102s
20951 6470 0.75221 66 257 0.72734 0.82528 13.5% 13.1 106s
20953 6471 0.76980 54 253 0.72734 0.82528 13.5% 13.1 110s
20955 6473 0.78930 56 261 0.72734 0.82528 13.5% 13.1 116s
20957 6474 0.78255 72 266 0.72734 0.82528 13.5% 13.1 120s
20959 6475 0.73830 56 264 0.72734 0.82528 13.5% 13.1 125s
20962 6477 0.75422 118 278 0.72734 0.82528 13.5% 13.1 131s
20965 6479 0.76286 58 268 0.72734 0.82528 13.5% 13.0 136s
20967 6481 0.80695 63 273 0.72734 0.82528 13.5% 13.0 141s
20970 6483 0.75983 83 274 0.72734 0.82528 13.5% 13.0 146s
20973 6485 0.74349 94 277 0.72734 0.82528 13.5% 13.0 150s
20976 6487 0.80029 64 283 0.72734 0.82528 13.5% 13.0 155s
20979 6489 0.77038 103 275 0.72734 0.82528 13.5% 13.0 160s
20984 6492 0.73626 107 285 0.72734 0.82528 13.5% 13.0 165s
20988 6495 0.82419 58 288 0.72734 0.82528 13.5% 13.0 170s
20990 6496 0.76905 93 284 0.72734 0.82528 13.5% 13.0 175s
20995 6499 0.78413 66 288 0.72734 0.82528 13.5% 13.0 181s
20998 6501 0.81432 52 284 0.72734 0.82528 13.5% 13.0 185s
21003 6505 0.80108 56 288 0.72734 0.82528 13.5% 13.0 191s
21007 6507 0.76999 98 282 0.72734 0.82528 13.5% 13.0 196s
21012 6511 0.75331 113 288 0.72734 0.82528 13.5% 13.0 201s
21016 6513 0.73986 65 297 0.72734 0.82528 13.5% 13.0 205s
21020 6516 0.81875 47 290 0.72734 0.82528 13.5% 13.0 210s
21025 6519 0.77298 69 302 0.72734 0.82528 13.5% 13.0 215s
21029 6522 0.74956 67 304 0.72734 0.82528 13.5% 13.0 220s
21033 6525 0.76665 83 297 0.72734 0.82528 13.5% 13.0 225s
21036 6527 0.74524 112 297 0.72734 0.82528 13.5% 13.0 232s
21038 6528 0.73673 84 287 0.72734 0.82528 13.5% 13.0 236s
21041 6530 0.74996 65 297 0.72734 0.82528 13.5% 13.0 240s
21044 6532 0.80380 51 286 0.72734 0.82528 13.5% 13.0 246s
21047 6534 0.76209 56 301 0.72734 0.82528 13.5% 13.0 250s
21050 6536 0.74213 106 294 0.72734 0.82528 13.5% 13.0 257s
21053 6538 0.76980 54 311 0.72734 0.82528 13.5% 13.0 260s
21057 6541 0.78255 72 308 0.72734 0.82528 13.5% 13.0 266s
21060 6543 0.82242 61 306 0.72734 0.82528 13.5% 13.0 272s
21062 6544 0.75422 118 314 0.72734 0.82528 13.5% 13.0 276s
21065 6546 0.76286 58 313 0.72734 0.82528 13.5% 13.0 281s
21067 6547 0.80695 63 312 0.72734 0.82528 13.5% 13.0 285s
21070 6549 0.75983 83 321 0.72734 0.82528 13.5% 13.0 290s
21074 6552 0.76389 76 316 0.72734 0.82528 13.5% 13.0 295s
21078 6555 0.78336 57 327 0.72734 0.82528 13.5% 13.0 300s
21082 6557 0.76768 60 319 0.72734 0.82528 13.5% 13.0 306s
21085 6559 0.81204 53 332 0.72734 0.82528 13.5% 13.0 311s
21087 6561 0.74925 68 328 0.72734 0.82528 13.5% 13.0 315s
21090 6563 0.76905 93 320 0.72734 0.82528 13.5% 13.0 321s
21092 6564 0.79595 38 321 0.72734 0.82528 13.5% 13.0 325s
21096 6567 0.76524 122 319 0.72734 0.82528 13.5% 13.0 331s
21099 6569 0.73467 147 321 0.72734 0.82528 13.5% 13.0 335s
21102 6571 0.73708 84 318 0.72734 0.82528 13.5% 13.0 340s
21106 6573 0.72897 113 323 0.72734 0.82528 13.5% 13.0 345s
21110 6576 0.75497 87 320 0.72734 0.82528 13.5% 13.0 353s
21111 6577 0.79211 62 324 0.72734 0.82528 13.5% 13.0 355s
21115 6579 0.75465 103 327 0.72734 0.82527 13.5% 13.0 360s
21119 6582 0.76472 80 321 0.72734 0.82523 13.5% 13.0 366s
21122 6584 0.77608 76 314 0.72734 0.82504 13.4% 13.0 371s
21126 6587 0.81265 61 311 0.72734 0.82498 13.4% 12.9 375s
21128 6588 0.73907 67 326 0.72734 0.82490 13.4% 12.9 380s
H21128 6254 0.7273378 0.82490 13.4% 12.9 382s
21130 6256 0.82489 23 325 0.72734 0.82489 13.4% 16.3 398s
21131 6256 infeasible 24 0.72734 0.82489 13.4% 16.5 410s
21133 6255 0.82314 25 320 0.72734 0.82352 13.2% 16.5 422s
21139 6258 0.81278 28 301 0.72734 0.82123 12.9% 16.7 425s
21172 6263 0.76759 35 224 0.72734 0.82042 12.8% 17.2 430s
21238 6287 infeasible 49 0.72734 0.81915 12.6% 17.5 439s
H21241 5970 0.7273378 0.81915 12.6% 17.5 439s
21244 5965 0.81208 30 294 0.72734 0.81915 12.6% 17.6 440s
21313 5971 0.80221 42 242 0.72734 0.81845 12.5% 18.3 445s
21448 6018 0.74422 83 153 0.72734 0.81760 12.4% 18.9 450s
21602 6063 cutoff 172 0.72734 0.81551 12.1% 19.5 455s
21690 6066 0.75281 40 262 0.72734 0.81551 12.1% 20.4 460s
21823 6053 0.81153 35 287 0.72734 0.81306 11.8% 21.3 465s
21934 6055 0.77371 46 245 0.72734 0.81306 11.8% 22.2 470s
22134 6069 0.80127 38 272 0.72734 0.80358 10.5% 23.2 475s
22429 6131 0.77678 57 216 0.72734 0.80237 10.3% 23.9 481s
22642 6160 0.78523 57 232 0.72734 0.80076 10.1% 24.4 485s
22910 6225 0.79457 49 238 0.72734 0.79976 10.0% 25.2 490s
23106 6236 0.79555 38 273 0.72734 0.79941 9.91% 26.2 495s
23269 6253 0.79442 44 248 0.72734 0.79941 9.91% 26.9 501s
23541 6278 0.74718 63 210 0.72734 0.79775 9.68% 27.7 506s
23849 6358 0.77881 53 237 0.72734 0.79775 9.68% 28.4 511s
24181 6384 infeasible 46 0.72734 0.79647 9.50% 29.1 517s
H24331 6088 0.7276297 0.79639 9.45% 29.4 523s
24336 6082 0.77073 50 205 0.72763 0.79607 9.41% 29.5 526s
24518 6134 0.77749 48 222 0.72763 0.79597 9.39% 29.8 532s
24522 6122 0.77446 49 183 0.72763 0.79592 9.39% 29.9 536s
24882 6164 infeasible 51 0.72763 0.79533 9.30% 30.7 542s
25176 6237 0.78289 37 252 0.72763 0.79468 9.22% 30.9 546s
25728 6375 0.78769 39 240 0.72763 0.79402 9.12% 31.6 552s
25914 6392 0.76249 57 187 0.72763 0.79355 9.06% 32.0 556s
26207 6452 0.74343 64 156 0.72763 0.79325 9.02% 32.4 561s
26525 6524 0.78632 48 228 0.72763 0.79248 8.91% 32.7 565s
27258 6703 0.73336 75 111 0.72763 0.79143 8.77% 33.3 574s
27488 6718 0.74369 63 124 0.72763 0.79086 8.69% 33.6 578s
27960 6817 0.76787 52 158 0.72763 0.79007 8.58% 33.8 583s
28247 6878 0.75075 63 166 0.72763 0.78934 8.48% 34.2 588s
28702 6928 cutoff 53 0.72763 0.78864 8.38% 34.5 594s
29001 6929 0.74668 62 163 0.72763 0.78793 8.29% 34.9 600s
Cutting planes:
Learned: 4
Gomory: 201
Cover: 19
Implied bound: 30
Projected implied bound: 57
Clique: 13
MIR: 260
StrongCG: 8
Flow cover: 732
Flow path: 9
Inf proof: 81
Zero half: 4
Explored 29502 nodes (1038685 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.72763 0.727338 0.727338 ... 0.68694
Time limit reached
Best objective 7.276296780804e-01, best bound 7.877821385327e-01, gap 8.2669%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfdn7q0go.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_cvbyxb5.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.00s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.4047393e+02 9.918426e+03 0.000000e+00 0s
379 1.1227241e+01 0.000000e+00 0.000000e+00 0s
Solved in 379 iterations and 0.01 seconds
Optimal objective 1.122724051e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00268729, -0.01412805, -0.01412805]])
fopt: 3.038167854809307
fun: -3.049322582752605
message: 'Optimization terminated successfully.'
nfev: 132
nit: 2
status: 0
success: True
x: array([ 18.11883173, -87.99999921, -87.99999921])
xopt: array([18., 0., 0.])
zopt: array([18., 18., 18.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.04145888, -0.00216284, -0.0973123 ]])
fopt: 2.7402681360046675
fun: -2.7582280839352773
message: 'Optimization terminated successfully.'
nfev: 184
nit: 3
status: 0
success: True
x: array([ 3.93737507e+01, -2.96015022e-03, -8.29938355e+01])
xopt: array([39., 0., 0.])
zopt: array([39., 39., 39.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.55382067e-02, 4.95698275e-04, -0.00000000e+00]])
fopt: 2.4334986337837514
fun: -2.4471027070253584
message: 'Optimization terminated successfully.'
nfev: 312
nit: 3
status: 0
success: True
x: array([58.24119491, -0.95577257, 1. ])
xopt: array([58., 0., 1.])
zopt: array([58., 58., 59.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.72655509e-03, 1.23967049e-04, 5.57763711e-03]])
fopt: 2.2256992636830946
fun: -2.236193629176176
message: 'Optimization terminated successfully.'
nfev: 189
nit: 2
status: 0
success: True
x: array([ 77.25029646, -0.99987603, -87.99022334])
xopt: array([77., 0., 0.])
zopt: array([77., 77., 77.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.38668009e-03, -4.17813788e-12, -0.00000000e+00]])
fopt: 2.0690235083043453
fun: -2.0758181337254533
message: 'Optimization terminated successfully.'
nfev: 278
nit: 2
status: 0
success: True
x: array([96.12721722, 1.00000017, 1. ])
xopt: array([96., 1., 1.])
zopt: array([96., 97., 98.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1464
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.35466000e-02, -1.20251593e-04, -0.00000000e+00]])
fopt: 1.365220706046476
fun: -1.3663897345059859
message: 'Optimization terminated successfully.'
nfev: 213
nit: 2
status: 0
success: True
x: array([140.61394487, 2.23933675, 1. ])
xopt: array([140., 2., 1.])
zopt: array([140., 142., 143.])
*******************************************
Period: 8
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.265375351621316
fun: -1.2712409054566653
message: 'Optimization terminated successfully.'
nfev: 177
nit: 2
status: 0
success: True
x: array([158.03648099, 2. , -2.47997877])
xopt: array([158., 2., 0.])
zopt: array([158., 160., 160.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.15348704e-03, 2.34105316e-05, -6.97130270e-05]])
fopt: 1.1789916176223598
fun: -1.1805301322224702
message: 'Optimization terminated successfully.'
nfev: 209
nit: 2
status: 0
success: True
x: array([178.42374849, 2.00002341, -1.97797472])
xopt: array([178., 2., 0.])
zopt: array([178., 180., 180.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.54048587e-03, -6.90843584e-05, 4.45170843e-05]])
fopt: 1.0757811520169338
fun: -1.079784268761053
message: 'Optimization terminated successfully.'
nfev: 239
nit: 3
status: 0
success: True
x: array([196.0552279 , 3.05697531, -0.64206222])
xopt: array([196., 3., 0.])
zopt: array([196., 199., 199.])
*******************************************
Period: 11
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.88960589e-09, 8.82300431e-16, 6.88282090e-16]])
fopt: 0.9513717271833306
fun: -0.9465601032385166
message: 'Optimization terminated successfully.'
nfev: 365
nit: 3
status: 0
success: True
x: array([213.91351416, 1.00000957, 1.00002997])
xopt: array([213., 1., 2.])
zopt: array([213., 214., 216.])
*******************************************
Period: 12
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.26893973e-01, 4.60890277e-07, 2.20419191e+01]])
fopt: 0.9166254333598012
fun: -0.9173291455541186
message: 'Optimization terminated successfully.'
nfev: 624
nit: 6
status: 0
success: True
x: array([213.29032402, 2.02094276, 27.03034855])
xopt: array([213., 2., 27.])
zopt: array([213., 215., 242.])
*******************************************
Period: 13
direc: array([[-1.22916497, -0.00578851, -0.01176289],
[ 0. , 1. , 0. ],
[ 0.12177293, 0.01821504, -0.13218802]])
fopt: 0.8576539321479717
fun: -0.8617699103410287
message: 'Optimization terminated successfully.'
nfev: 561
nit: 7
status: 0
success: True
x: array([201.34444643, -2.21991197, 18.03340804])
xopt: array([201., 0., 19.])
zopt: array([201., 201., 220.])
*******************************************
Period: 14
direc: array([[ 4.05908055e-06, 1.91890767e-08, 2.34975090e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.72707732e-16, -5.04735771e-14, -4.25484871e-11]])
fopt: 0.6608606750270926
fun: -0.6596735598243486
message: 'Optimization terminated successfully.'
nfev: 381
nit: 3
status: 0
success: True
x: array([212.53079414, 2.00118626, 3.22452528])
xopt: array([212., 2., 4.])
zopt: array([212., 214., 218.])
*******************************************
Period: 15
direc: array([[ 2.64656502e-02, 1.24499054e-04, 2.51552439e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.16499601e-13, -2.40522501e-15, -1.94976340e-11]])
fopt: 0.5398774160127598
fun: -0.5389304037905648
message: 'Optimization terminated successfully.'
nfev: 306
nit: 3
status: 0
success: True
x: array([213.60361518, 2.00011086, 4.02076872])
xopt: array([213., 2., 5.])
zopt: array([213., 215., 220.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[-2.76235112, 3.08298776, 5.99416659],
[-0.15795092, -0.03184521, 0. ]])
fopt: 1.0097359311341672
fun: -1.0073457902622376
message: 'Optimization terminated successfully.'
nfev: 607
nit: 7
status: 0
success: True
x: array([193.98389226, 7.01924227, 118.00229304])
xopt: array([193., 7., 119.])
zopt: array([193., 200., 319.])
*******************************************
Period: 17
direc: array([[7.39733807e-07, 3.47919086e-09, 7.02883986e-09],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.40145074e-06, 1.97891483e+00, 3.96819434e+00]])
fopt: 0.7377256609884265
fun: -0.7335903197135678
message: 'Optimization terminated successfully.'
nfev: 284
nit: 4
status: 0
success: True
x: array([213.61665097, 43.07206796, 83.38451332])
xopt: array([213., 43., 83.])
zopt: array([213., 256., 339.])
*******************************************
Period: 18
direc: array([[5.85075745e-03, 2.74550096e-05, 5.98024634e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.09572747e-01, 7.92990716e+01, 5.29148264e+01]])
fopt: 0.5791614807779178
fun: -0.5764982152961129
message: 'Optimization terminated successfully.'
nfev: 496
nit: 6
status: 0
success: True
x: array([214.4363091 , 85.03912942, 59.09254874])
xopt: array([214., 85., 60.])
zopt: array([214., 299., 359.])
*******************************************
Period: 19
direc: array([[ 1.28236149e-06, 5.97729555e-09, 1.24654488e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.93111932e-13, -6.53601426e-13, -7.20161542e-05]])
fopt: 0.839863485806175
fun: -0.8365433457418017
message: 'Optimization terminated successfully.'
nfev: 363
nit: 3
status: 0
success: True
x: array([215.53874713, 2.00000141, 158.79079854])
xopt: array([215., 2., 159.])
zopt: array([215., 217., 376.])
*******************************************
Period: 20
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.98020515, 2.00340009, 2.01480321]])
fopt: 1.16562605733175
fun: -1.1633641252667317
message: 'Optimization terminated successfully.'
nfev: 566
nit: 10
status: 0
success: True
x: array([ 79.00000017, 119. , 210.7864174 ])
xopt: array([ 79., 119., 210.])
zopt: array([ 79., 198., 408.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 7.79940198e+01, 7.80503990e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.32582614e-01, -3.54009451e-03, -6.91392661e-03]])
fopt: 0.6870721410913769
fun: -0.6845812923142433
message: 'Optimization terminated successfully.'
nfev: 711
nit: 8
status: 0
success: True
x: array([129.37034771, 179.00072934, 85.25701319])
xopt: array([129., 179., 86.])
zopt: array([129., 308., 394.])
*******************************************
Period: 22
direc: array([[-5.91882415e+01, 6.93899382e+01, -6.01043192e-01],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.95973101e-09, -1.03695042e-11, -1.99006247e-11]])
fopt: 0.6999794715208585
fun: -0.6974069261287241
message: 'Optimization terminated successfully.'
nfev: 793
nit: 10
status: 0
success: True
x: array([ 79.36211107, 311.01759542, 3.67113771])
xopt: array([ 79., 311., 4.])
zopt: array([ 79., 390., 394.])
*******************************************
Period: 23
direc: array([[-1.04119009e+01, 1.00652357e+01, 8.58515094e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.94429305e-05, -1.35599060e-10, -1.15659328e-09]])
fopt: 0.9180911673196748
fun: -0.9138739151362159
message: 'Optimization terminated successfully.'
nfev: 395
nit: 5
status: 0
success: True
x: array([175.81906513, 25.23266157, 193.62728229])
xopt: array([175., 25., 194.])
zopt: array([175., 200., 394.])
*******************************************
Period: 24
direc: array([[-41.38601563, 40.00806441, 91.75041544],
[ 0. , 1. , 0. ],
[-12.85283344, 6.98871697, 7.14846046]])
fopt: 1.0327204178173732
fun: -1.0303143060950657
message: 'Optimization terminated successfully.'
nfev: 318
nit: 5
status: 0
success: True
x: array([100.12614268, 96. , 201.79779135])
xopt: array([100., 96., 201.])
zopt: array([100., 196., 397.])
*******************************************
Period: 25
direc: array([[-35.22443198, 16.01384843, 27.09101055],
[ 0. , 1. , 0. ],
[ 2.00911903, -1.99846576, -2.93362236]])
fopt: 1.0156773164319939
fun: -1.0126297974596592
message: 'Optimization terminated successfully.'
nfev: 844
nit: 11
status: 0
success: True
x: array([103.96590967, 95. , 195.51214531])
xopt: array([103., 96., 195.])
zopt: array([103., 199., 394.])
*******************************************
Period: 26
direc: array([[-155.40448941, 42.52746971, 92.28379886],
[ 0. , 1. , 0. ],
[ -45.0963081 , 34.39658095, 65.93978146]])
fopt: 0.9865929007449218
fun: -0.9835393214216168
message: 'Optimization terminated successfully.'
nfev: 484
nit: 7
status: 0
success: True
x: array([ 97.52717414, 101. , 196.74287261])
xopt: array([ 97., 101., 196.])
zopt: array([ 97., 198., 394.])
*******************************************
Period: 27
direc: array([[ -2.31349323, 1.42141909, 3.12667789],
[ 0. , 1. , 0. ],
[-194.12786434, 86.93871498, 191.23998306]])
fopt: 0.8106764226177084
fun: -0.8080575377837161
message: 'Optimization terminated successfully.'
nfev: 507
nit: 7
status: 0
success: True
x: array([ 82.66889838, 116. , 271.01072994])
xopt: array([ 82., 116., 271.])
zopt: array([ 82., 198., 469.])
*******************************************
Period: 28
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-144.44721299, 72.86405621, 139.31283767]])
fopt: 0.8553023245044125
fun: -0.8541109516529211
message: 'Optimization terminated successfully.'
nfev: 405
nit: 6
status: 0
success: True
x: array([ 79.0000015 , 119. , 248.50233511])
xopt: array([ 79., 119., 248.])
zopt: array([ 79., 198., 446.])
*******************************************
Period: 29
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.35412733e+02, 4.96763463e+01, 8.73682657e+01],
[ 1.27675077e-03, -5.63024230e-03, 4.64112588e-06]])
fopt: 0.9758388940978281
fun: -0.9732835757198849
message: 'Optimization terminated successfully.'
nfev: 603
nit: 9
status: 0
success: True
x: array([ 79.00000761, 115. , 202.31432894])
xopt: array([ 79., 116., 202.])
zopt: array([ 79., 195., 397.])
*******************************************
Period: 30
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-172.27135753, 93.26706569, 185.18485282]])
fopt: 0.7711902418753069
fun: -0.7691547900630774
message: 'Optimization terminated successfully.'
nfev: 492
nit: 7
status: 0
success: True
x: array([ 78.99999923, 116. , 271.88799779])
xopt: array([ 79., 116., 271.])
zopt: array([ 79., 195., 466.])
*******************************************
Period: 31
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.1016814 , -0.00196336, -0.00411993]])
fopt: 0.4734721236778953
fun: -0.47499370608648317
message: 'Optimization terminated successfully.'
nfev: 446
nit: 7
status: 0
success: True
x: array([279.06851414, 5.00125176, 107.02073753])
xopt: array([279., 5., 107.])
zopt: array([279., 284., 391.])
*******************************************
Period: 32
direc: array([[1. , 0. , 0. ],
[0. , 1. , 0. ],
[1.03016686, 1.99859088, 0.67239392]])
fopt: 0.8386089061985904
fun: -0.8375887586088135
message: 'Optimization terminated successfully.'
nfev: 498
nit: 8
status: 0
success: True
x: array([ 81.00004351, 180.00010519, 115.0610853 ])
xopt: array([ 81., 180., 116.])
zopt: array([ 81., 261., 377.])
*******************************************
Period: 33
direc: array([[ 1. , 0. , 0. ],
[-98.56857997, 143.22508507, 34.07368355],
[ -5.27209549, 33.06057353, 3.94503768]])
fopt: 0.7715843036659592
fun: -0.7715460706692855
message: 'Optimization terminated successfully.'
nfev: 721
nit: 10
status: 0
success: True
x: array([ 79.54914061, 211.05145351, 91.20896084])
xopt: array([ 79., 211., 92.])
zopt: array([ 79., 290., 382.])
*******************************************
Period: 34
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-286.08267611, 112.2710513 , 230.92794879]])
fopt: 0.8239880264947301
fun: -0.8218711501286619
message: 'Optimization terminated successfully.'
nfev: 292
nit: 4
status: 0
success: True
x: array([ 79.00000153, 116. , 234.98371873])
xopt: array([ 79., 116., 234.])
zopt: array([ 79., 195., 429.])
*******************************************
Period: 35
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-5.20110402e+01, 4.66502330e+01, 2.52178378e+01],
[-3.21412212e-09, -2.93817175e-08, -5.20358679e-08]])
fopt: 0.77836177961218
fun: -0.7793609735786681
message: 'Optimization terminated successfully.'
nfev: 547
nit: 8
status: 0
success: True
x: array([ 78.98751313, 211.04532556, 101.2800943 ])
xopt: array([ 79., 211., 102.])
zopt: array([ 79., 290., 392.])
*******************************************
Period: 36
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.93919421e+02, 1.68844644e+02, 1.44210544e+02],
[ 4.22291963e-08, -2.87933886e+01, 4.31029146e+01]])
fopt: 0.9110081406533379
fun: -0.909422886111624
message: 'Optimization terminated successfully.'
nfev: 843
nit: 11
status: 0
success: True
x: array([ 80.65478601, 119. , 194.0000199 ])
xopt: array([ 80., 119., 195.])
zopt: array([ 80., 199., 394.])
*******************************************
Period: 37
direc: array([[-1.89714374e-01, 1.02259650e+00, 1.02259650e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.95797181e+02, 1.34549189e+02, 1.23879394e+02]])
fopt: 0.8308888496142345
fun: -0.830198614732071
message: 'Optimization terminated successfully.'
nfev: 455
nit: 7
status: 0
success: True
x: array([ 80.96678555, 155.00001664, 141. ])
xopt: array([ 81., 155., 142.])
zopt: array([ 81., 236., 378.])
*******************************************
Period: 38
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-6.14606552e+01, 3.07284252e+01, 6.17209250e+01],
[ 3.01183691e-02, -9.16662016e-02, -4.56803644e-02]])
fopt: 0.7802100402568193
fun: -0.7771822793554705
message: 'Optimization terminated successfully.'
nfev: 482
nit: 7
status: 0
success: True
x: array([ 79.00001731, 115. , 240.74109741])
xopt: array([ 79., 116., 240.])
zopt: array([ 79., 195., 435.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-270.63735852, 88.22602317, 177.13202205]])
fopt: 0.814118841446487
fun: -0.811958273932704
message: 'Optimization terminated successfully.'
nfev: 383
nit: 5
status: 0
success: True
x: array([106.99998676, 92. , 182.14125626])
xopt: array([106., 93., 183.])
zopt: array([106., 199., 382.])
*******************************************
Period: 40
direc: array([[-2.18053001e+01, 1.58359212e+00, 6.59790192e+01],
[-5.44538976e-01, -7.03137744e-07, 0.00000000e+00],
[ 1.28464616e-02, -8.80505738e-03, 4.36748709e-05]])
fopt: 0.8499831414515617
fun: -0.8480775673834593
message: 'Optimization terminated successfully.'
nfev: 1305
nit: 18
status: 0
success: True
x: array([ 81.00000776, 111. , 199.00000001])
xopt: array([ 81., 112., 199.])
zopt: array([ 81., 193., 392.])
*******************************************
Period: 41
direc: array([[-23.98896482, 1.99998337, 5.11479329],
[ 0. , 1. , 0. ],
[-64.12779926, 49.80582604, 60.82201232]])
fopt: 0.8352751158047537
fun: -0.832815285021004
message: 'Optimization terminated successfully.'
nfev: 625
nit: 9
status: 0
success: True
x: array([ 79.94828105, 119. , 182.50942699])
xopt: array([ 79., 120., 183.])
zopt: array([ 79., 199., 382.])
*******************************************
Period: 42
direc: array([[-3.12653077e+00, 0.00000000e+00, 2.01656121e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.13533961e-04, -9.43799499e-06, -3.03983501e-01]])
fopt: 0.7090357190551437
fun: -0.7088878844653381
message: 'Optimization terminated successfully.'
nfev: 781
nit: 8
status: 0
success: True
x: array([197.99999895, 1.0000189 , 194.0247915 ])
xopt: array([197., 2., 194.])
zopt: array([197., 199., 393.])
*******************************************
Period: 43
direc: array([[ 0. , 0. , 1. ],
[-2.87457384, 0. , 2.08690926],
[ 0.15230672, 26.11697744, 24.44842553]])
fopt: 0.7277009988119889
fun: -0.7265504213848235
message: 'Optimization terminated successfully.'
nfev: 546
nit: 7
status: 0
success: True
x: array([165.79915972, 33.01252946, 179. ])
xopt: array([165., 34., 179.])
zopt: array([165., 199., 378.])
*******************************************
Period: 44
direc: array([[-16.64460666, 16.7672449 , 24.33218903],
[ 0. , 1. , 0. ],
[ -6.00270532, 6.00270542, 0. ]])
fopt: 0.8244880850945603
fun: -0.823920270253209
message: 'Optimization terminated successfully.'
nfev: 1177
nit: 14
status: 0
success: True
x: array([ 80.00576835, 119. , 193.29268578])
xopt: array([ 80., 119., 193.])
zopt: array([ 80., 199., 392.])
*******************************************
Period: 45
direc: array([[-1.44354898e+00, 9.96756900e-01, 1.17700046e-01],
[ 4.38056883e+01, 3.30516991e+01, -1.28432559e-01],
[ 2.03409168e-07, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7004056089530265
fun: -0.6957782018476454
message: 'Optimization terminated successfully.'
nfev: 919
nit: 12
status: 0
success: True
x: array([ 81.84269413, 188.00791741, 94.24146218])
xopt: array([ 82., 189., 95.])
zopt: array([ 82., 271., 366.])
*******************************************
Period: 46
direc: array([[ -0.90399412, 1. , 4.01669573],
[ -5.6795534 , 2.98920209, 12.0067153 ],
[-105.23360599, -40.9778838 , 222.46642593]])
fopt: 0.3705915260190228
fun: -0.6422203645982891
message: 'Optimization terminated successfully.'
nfev: 514
nit: 6
status: 0
success: True
x: array([256.97014505, -60.22919477, 194. ])
xopt: array([256., 0., 194.])
zopt: array([256., 256., 450.])
*******************************************
Period: 47
direc: array([[ 0.00528288, -0. , -0.00559466],
[ 0. , 1. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.2912602966722603
fun: -0.28967014756793275
message: 'Optimization terminated successfully.'
nfev: 443
nit: 5
status: 0
success: True
x: array([367.98766227, 2. , 8.06906015])
xopt: array([367., 2., 9.])
zopt: array([367., 369., 378.])
*******************************************
Period: 48
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-5.13140613, 5.08432886, 10.21573486]])
fopt: 0.6917245413544718
fun: -0.6917624378194983
message: 'Optimization terminated successfully.'
nfev: 768
nit: 9
status: 0
success: True
x: array([189.7366167 , 9.05099848, 193.02663746])
xopt: array([189., 9., 193.])
zopt: array([189., 198., 391.])
*******************************************
Period: 49
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.78777153e+02, -6.82077287e-06, 1.89167750e+02]])
fopt: 0.6817832019885759
fun: -0.6808913914522039
message: 'Optimization terminated successfully.'
nfev: 495
nit: 7
status: 0
success: True
x: array([194.96479045, 3.00000073, 193.00000025])
xopt: array([194., 4., 193.])
zopt: array([194., 198., 391.])
*******************************************
Period: 50
direc: array([[-2.5073549 , 0. , 2.00000003],
[ 0. , 1. , 0. ],
[-0.58973079, 0.08012878, 1.00321569]])
fopt: 0.6758372650185364
fun: -0.6760741038465349
message: 'Optimization terminated successfully.'
nfev: 604
nit: 8
status: 0
success: True
x: array([188.18667383, 11.17517117, 193.00204479])
xopt: array([188., 11., 193.])
zopt: array([188., 199., 392.])
*******************************************
Period: 51
direc: array([[ 2.61202817e-05, 0.00000000e+00, 6.61069419e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.55207764e-08, 8.01467660e-12, 3.83936362e-13]])
fopt: 0.28758173057851233
fun: -0.2864204358421953
message: 'Optimization terminated successfully.'
nfev: 395
nit: 4
status: 0
success: True
x: array([370.97960883, 2.00052519, 3.00002525])
xopt: array([370., 2., 4.])
zopt: array([370., 372., 376.])
*******************************************
Period: 52
direc: array([[ 0.27453104, 0. , 1. ],
[ 0. , 1. , 0. ],
[-172.99652884, 0. , 199.48798021]])
fopt: 0.6616959232767059
fun: -0.6613375591794977
message: 'Optimization terminated successfully.'
nfev: 696
nit: 7
status: 0
success: True
x: array([194.98191664, 3.00002546, 196.00000306])
xopt: array([194., 4., 196.])
zopt: array([194., 198., 394.])
*******************************************
Period: 53
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.37928377, 0. , 2.01440179]])
fopt: 0.6499185431301867
fun: -0.6497161902320352
message: 'Optimization terminated successfully.'
nfev: 481
nit: 6
status: 0
success: True
x: array([195.70347827, 2.00812769, 196.00100024])
xopt: array([195., 3., 196.])
zopt: array([195., 198., 394.])
*******************************************
Period: 54
direc: array([[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.64221748e-04, 2.80006456e-10, -0.00000000e+00],
[ 2.16729907e-05, -1.10149330e-02, 0.00000000e+00]])
fopt: 0.2845429710396372
fun: -0.2834265069999297
message: 'Optimization terminated successfully.'
nfev: 466
nit: 7
status: 0
success: True
x: array([369.99996539, 2.00063613, 4.01523752])
xopt: array([369., 2., 5.])
zopt: array([369., 371., 376.])
*******************************************
Period: 55
direc: array([[ 0.31101086, 0. , 1. ],
[ 0. , 1. , 0. ],
[-173.92628147, 0. , 204.89664993]])
fopt: 0.6394849210942064
fun: -0.6393855396460211
message: 'Optimization terminated successfully.'
nfev: 639
nit: 8
status: 0
success: True
x: array([195.02677408, 4.01596468, 195.2547227 ])
xopt: array([195., 4., 195.])
zopt: array([195., 199., 394.])
*******************************************
Period: 56
direc: array([[ -1.03741312, 1.60185364, 12.98739769],
[ 0. , 1. , 0. ],
[-150.98903851, 13.55740309, 110.10428796]])
fopt: 0.646982623459943
fun: -0.6461694412868427
message: 'Optimization terminated successfully.'
nfev: 412
nit: 7
status: 0
success: True
x: array([175.24154142, 24.0000025 , 194.00000002])
xopt: array([175., 24., 195.])
zopt: array([175., 199., 394.])
*******************************************
Period: 57
direc: array([[-1.73962384e+02, 0.00000000e+00, 1.33112408e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.51177644e-03, 1.71319890e+01, 3.42628217e+01]])
fopt: 0.6405520610042827
fun: -0.6399729306525453
message: 'Optimization terminated successfully.'
nfev: 689
nit: 8
status: 0
success: True
x: array([177.11841486, 23.00558571, 191.00026381])
xopt: array([177., 23., 192.])
zopt: array([177., 200., 392.])
*******************************************
Period: 58
direc: array([[-2.87685809e+02, 1.24639117e+02, 1.66980246e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.73450439e-08, 1.62840615e-06, -6.06496626e-04]])
fopt: 0.6985958998656702
fun: -0.6963744540062394
message: 'Optimization terminated successfully.'
nfev: 574
nit: 7
status: 0
success: True
x: array([ 78.08844618, 134. , 179.00000001])
xopt: array([ 79., 134., 179.])
zopt: array([ 79., 213., 392.])
*******************************************
Period: 59
direc: array([[ 0.26520443, 0. , 1. ],
[ 0. , 1. , 0. ],
[-173.27203421, 0. , 198.51259744]])
fopt: 0.6098499562953763
fun: -0.6099692109751803
message: 'Optimization terminated successfully.'
nfev: 597
nit: 6
status: 0
success: True
x: array([195.0311687 , 3.00000054, 196. ])
xopt: array([195., 3., 196.])
zopt: array([195., 198., 394.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnjsufl2y.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyc8jjnv7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57816
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.03817 1.57816
Optimal solution found (tolerance 1.00e-02)
Best objective 3.038167854809e+00, best bound 3.038167854809e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw9tsv4b0.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo78vkz87.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06361
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.740268e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.7402681 2.74027 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.74027 1.06361
Optimal solution found (tolerance 1.00e-02)
Best objective 2.740268136005e+00, best bound 2.740268136005e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw7wpyc7u.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyaw5dc4q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.48136
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 2.725113e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.72511 0 3 1.48136 2.72511 84.0% - 0s
H 0 0 2.4349052 2.72511 11.9% - 0s
0 0 cutoff 0 2.43491 2.43491 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow path: 1
Explored 1 nodes (17 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.43491 1.48136
Optimal solution found (tolerance 1.00e-02)
Best objective 2.434905192976e+00, best bound 2.434905192976e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1vop86qc.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp49nywx_1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.59511
Presolve removed 130 rows and 91 columns
Presolve time: 0.00s
Presolved: 61 rows, 51 columns, 208 nonzeros
Variable types: 25 continuous, 26 integer (22 binary)
Root relaxation: objective 2.632685e+00, 33 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.63268 0 8 1.59511 2.63268 65.0% - 0s
H 0 0 2.2256993 2.63268 18.3% - 0s
0 0 cutoff 0 2.22570 2.22570 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 4
Flow cover: 1
Flow path: 2
Explored 1 nodes (42 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.2257 1.59511
Optimal solution found (tolerance 1.00e-02)
Best objective 2.225699263683e+00, best bound 2.225699263683e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3_70g72i.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps81156w2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.59968
Presolve removed 145 rows and 100 columns
Presolve time: 0.00s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 2.681379e+00, 51 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.68138 0 3 1.59968 2.68138 67.6% - 0s
H 0 0 2.2100465 2.68138 21.3% - 0s
0 0 cutoff 0 2.21005 2.21005 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (66 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.21005 1.59968
Optimal solution found (tolerance 1.00e-02)
Best objective 2.210046473170e+00, best bound 2.210046473170e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi9ftr_4b.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvr2qrs7o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.80846
Presolve removed 137 rows and 93 columns
Presolve time: 0.00s
Presolved: 146 rows, 115 columns, 515 nonzeros
Variable types: 57 continuous, 58 integer (52 binary)
Root relaxation: objective 2.420498e+00, 95 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.42050 0 6 1.80846 2.42050 33.8% - 0s
H 0 0 1.8355667 2.42050 31.9% - 0s
0 0 2.05749 0 3 1.83557 2.05749 12.1% - 0s
H 0 0 1.8647387 2.05749 10.3% - 0s
0 0 cutoff 0 1.86474 1.86474 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 1
Flow cover: 5
Explored 1 nodes (143 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.86474 1.83557 1.80846
Optimal solution found (tolerance 1.00e-02)
Best objective 1.864738734311e+00, best bound 1.864738734311e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp03v6eerw.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_m66fxut.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.45012
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.697363e+00, 109 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.69736 0 8 1.45012 2.69736 86.0% - 0s
H 0 0 1.7192251 2.69736 56.9% - 0s
0 0 2.44542 0 12 1.71923 2.44542 42.2% - 0s
0 0 2.44542 0 12 1.71923 2.44542 42.2% - 0s
0 0 2.17164 0 4 1.71923 2.17164 26.3% - 0s
H 0 0 1.7192252 2.17164 26.3% - 0s
0 0 2.17155 0 7 1.71923 2.17155 26.3% - 0s
0 0 2.17155 0 7 1.71923 2.17155 26.3% - 0s
H 0 0 1.7428767 2.17155 24.6% - 0s
0 2 2.17155 0 7 1.74288 2.17155 24.6% - 0s
Cutting planes:
Gomory: 8
Implied bound: 3
Flow cover: 12
Explored 21 nodes (259 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.74288 1.71923 1.71923 1.45012
Optimal solution found (tolerance 1.00e-02)
Best objective 1.742876734488e+00, best bound 1.742876734488e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgyhyvvl5.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3vutvqbm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43296
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.598245e+00, 162 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.59825 0 9 1.43296 2.59825 81.3% - 0s
H 0 0 1.6739228 2.59825 55.2% - 0s
0 0 2.24031 0 15 1.67392 2.24031 33.8% - 0s
0 0 2.23035 0 15 1.67392 2.23035 33.2% - 0s
0 0 2.11596 0 7 1.67392 2.11596 26.4% - 0s
0 0 2.11591 0 7 1.67392 2.11591 26.4% - 0s
0 0 2.11591 0 7 1.67392 2.11591 26.4% - 0s
0 2 2.11591 0 7 1.67392 2.11591 26.4% - 0s
H 4 6 1.6944112 1.89216 11.7% 3.0 0s
Cutting planes:
Gomory: 6
Implied bound: 4
MIR: 2
Flow cover: 16
Inf proof: 1
Explored 38 nodes (399 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.69441 1.67392 1.43296
Optimal solution found (tolerance 1.00e-02)
Best objective 1.694411201354e+00, best bound 1.696969847769e+00, gap 0.1510%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp042pqvpm.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8odcwd5v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41795
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.528172e+00, 191 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.52817 0 10 1.41795 2.52817 78.3% - 0s
H 0 0 1.6329010 2.52817 54.8% - 0s
0 0 2.12764 0 19 1.63290 2.12764 30.3% - 0s
0 0 2.08274 0 13 1.63290 2.08274 27.5% - 0s
0 0 2.08274 0 13 1.63290 2.08274 27.5% - 0s
0 0 2.07087 0 13 1.63290 2.07087 26.8% - 0s
0 0 2.06920 0 15 1.63290 2.06920 26.7% - 0s
0 0 2.06920 0 15 1.63290 2.06920 26.7% - 0s
0 0 2.06920 0 13 1.63290 2.06920 26.7% - 0s
0 2 2.06920 0 13 1.63290 2.06920 26.7% - 0s
* 34 1 9 1.6518055 1.65828 0.39% 4.5 0s
Cutting planes:
Gomory: 9
Implied bound: 5
MIR: 2
Flow cover: 12
Explored 40 nodes (465 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.65181 1.6329 1.41795
Optimal solution found (tolerance 1.00e-02)
Best objective 1.651805534774e+00, best bound 1.653001342690e+00, gap 0.0724%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvqqvfw0t.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfohso9eg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.40356
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.446461e+00, 194 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.44646 0 11 1.40356 2.44646 74.3% - 0s
H 0 0 1.6319213 2.44646 49.9% - 0s
0 0 2.03310 0 14 1.63192 2.03310 24.6% - 0s
0 0 2.03207 0 17 1.63192 2.03207 24.5% - 0s
0 0 2.03207 0 17 1.63192 2.03207 24.5% - 0s
0 2 2.03207 0 17 1.63192 2.03207 24.5% - 0s
Cutting planes:
Gomory: 8
Implied bound: 2
MIR: 4
Flow cover: 13
Explored 18 nodes (418 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.63192 1.40356
Optimal solution found (tolerance 1.00e-02)
Best objective 1.631921323655e+00, best bound 1.632914704899e+00, gap 0.0609%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppie4y_4a.pyomo.lp
Reading time = 0.01 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr2btuwo2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.42654
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.380745e+00, 211 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.38074 0 13 1.42654 2.38074 66.9% - 0s
H 0 0 1.5922150 2.38074 49.5% - 0s
0 0 1.98406 0 15 1.59222 1.98406 24.6% - 0s
0 0 1.95880 0 12 1.59222 1.95880 23.0% - 0s
0 0 1.95345 0 11 1.59222 1.95345 22.7% - 0s
0 0 1.94330 0 18 1.59222 1.94330 22.1% - 0s
0 0 1.94194 0 18 1.59222 1.94194 22.0% - 0s
0 0 1.94193 0 18 1.59222 1.94193 22.0% - 0s
0 0 1.94193 0 18 1.59222 1.94193 22.0% - 0s
0 2 1.94193 0 18 1.59222 1.94193 22.0% - 0s
Cutting planes:
Gomory: 8
Implied bound: 3
MIR: 2
Flow cover: 14
Explored 14 nodes (418 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.59222 1.42654
Optimal solution found (tolerance 1.00e-02)
Best objective 1.592215017438e+00, best bound 1.607106232331e+00, gap 0.9353%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw5ayqq49.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp443cxmqq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.435
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.254143e+00, 260 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.25414 0 16 1.43500 2.25414 57.1% - 0s
0 0 1.87469 0 22 1.43500 1.87469 30.6% - 0s
0 0 1.86360 0 16 1.43500 1.86360 29.9% - 0s
0 0 1.85934 0 22 1.43500 1.85934 29.6% - 0s
0 0 1.85932 0 22 1.43500 1.85932 29.6% - 0s
0 0 1.85932 0 22 1.43500 1.85932 29.6% - 0s
0 0 1.85932 0 22 1.43500 1.85932 29.6% - 0s
0 0 1.85932 0 22 1.43500 1.85932 29.6% - 0s
H 0 0 1.4986594 1.85932 24.1% - 0s
0 2 1.85932 0 21 1.49866 1.85932 24.1% - 0s
* 55 5 21 1.5011916 1.53604 2.32% 4.8 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 4
MIR: 4
Flow cover: 13
Explored 57 nodes (684 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.50119 1.49866 1.435
Optimal solution found (tolerance 1.00e-02)
Best objective 1.501191631022e+00, best bound 1.516173249589e+00, gap 0.9980%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpva63_h92.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp26dgx8v3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.36292
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.098189e+00, 287 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09819 0 17 1.36292 2.09819 53.9% - 0s
0 0 1.72895 0 25 1.36292 1.72895 26.9% - 0s
0 0 1.71116 0 30 1.36292 1.71116 25.6% - 0s
0 0 1.71113 0 30 1.36292 1.71113 25.5% - 0s
0 0 1.71112 0 30 1.36292 1.71112 25.5% - 0s
0 0 1.71112 0 29 1.36292 1.71112 25.5% - 0s
0 2 1.71112 0 29 1.36292 1.71112 25.5% - 0s
* 46 19 19 1.3864791 1.54160 11.2% 5.2 0s
* 80 6 18 1.3891338 1.53871 10.8% 4.8 0s
Cutting planes:
Gomory: 11
Implied bound: 4
MIR: 4
Flow cover: 15
Explored 101 nodes (880 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.38913 1.38648 1.36292
Optimal solution found (tolerance 1.00e-02)
Best objective 1.389133758002e+00, best bound 1.389133758002e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxvx06ke0.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps_h_3zf4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25423
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.211165e+00, 367 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21117 0 20 1.25423 2.21117 76.3% - 0s
0 0 1.82638 0 28 1.25423 1.82638 45.6% - 0s
0 0 1.82541 0 30 1.25423 1.82541 45.5% - 0s
0 0 1.82541 0 29 1.25423 1.82541 45.5% - 0s
H 0 0 1.3347651 1.82541 36.8% - 0s
0 2 1.82541 0 29 1.33477 1.82541 36.8% - 0s
H 29 23 1.3716973 1.59326 16.2% 6.1 0s
* 162 53 28 1.3866639 1.54821 11.7% 5.5 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 10
MIR: 6
Flow cover: 14
Flow path: 1
Inf proof: 5
Explored 366 nodes (2654 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.38666 1.3717 1.33477 1.25423
Optimal solution found (tolerance 1.00e-02)
Best objective 1.386663934289e+00, best bound 1.386663934289e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxptmwgt6.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpldinx9tv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24028
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.190977e+00, 395 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19098 0 25 1.24028 2.19098 76.7% - 0s
0 0 1.82139 0 23 1.24028 1.82139 46.9% - 0s
0 0 1.82014 0 28 1.24028 1.82014 46.8% - 0s
0 0 1.82014 0 27 1.24028 1.82014 46.8% - 0s
H 0 0 1.3551242 1.82014 34.3% - 0s
0 2 1.82014 0 27 1.35512 1.82014 34.3% - 0s
* 404 88 23 1.3572036 1.52020 12.0% 6.6 0s
Cutting planes:
Gomory: 15
Cover: 1
Implied bound: 12
MIR: 4
Flow cover: 11
Inf proof: 2
Explored 653 nodes (4871 simplex iterations) in 0.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.3572 1.35512 1.24028
Optimal solution found (tolerance 1.00e-02)
Best objective 1.357203599558e+00, best bound 1.357203599558e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpun2pd6f_.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeia7zzt2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23159
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.151829e+00, 448 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15183 0 27 1.23159 2.15183 74.7% - 0s
0 0 1.78679 0 24 1.23159 1.78679 45.1% - 0s
0 0 1.78599 0 24 1.23159 1.78599 45.0% - 0s
0 0 1.78599 0 24 1.23159 1.78599 45.0% - 0s
0 0 1.77931 0 24 1.23159 1.77931 44.5% - 0s
0 0 1.77658 0 24 1.23159 1.77658 44.3% - 0s
0 0 1.77658 0 24 1.23159 1.77658 44.3% - 0s
0 2 1.77658 0 24 1.23159 1.77658 44.3% - 0s
* 262 90 41 1.3117000 1.50603 14.8% 7.3 0s
* 452 93 37 1.3156275 1.48196 12.6% 7.5 0s
* 455 92 37 1.3208235 1.48196 12.2% 7.4 0s
* 744 24 32 1.3366721 1.36090 1.81% 7.1 0s
* 762 0 29 1.3418038 1.35965 1.33% 7.0 0s
* 777 0 31 1.3491275 1.34913 0.00% 7.0 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 12
MIR: 2
Flow cover: 18
Inf proof: 11
Explored 791 nodes (6108 simplex iterations) in 0.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.34913 1.3418 1.33667 ... 1.23159
Optimal solution found (tolerance 1.00e-02)
Best objective 1.349127474700e+00, best bound 1.349127474700e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppl_w3m25.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_93351w1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22355
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.125940e+00, 442 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12594 0 31 1.22355 2.12594 73.8% - 0s
0 0 1.77569 0 28 1.22355 1.77569 45.1% - 0s
0 0 1.76858 0 28 1.22355 1.76858 44.5% - 0s
0 0 1.76762 0 32 1.22355 1.76762 44.5% - 0s
0 0 1.76351 0 33 1.22355 1.76351 44.1% - 0s
0 0 1.76026 0 32 1.22355 1.76026 43.9% - 0s
0 0 1.76023 0 33 1.22355 1.76023 43.9% - 0s
0 0 1.75639 0 37 1.22355 1.75639 43.5% - 0s
0 0 1.75618 0 39 1.22355 1.75618 43.5% - 0s
0 0 1.75600 0 40 1.22355 1.75600 43.5% - 0s
0 0 1.75600 0 36 1.22355 1.75600 43.5% - 0s
0 2 1.75600 0 36 1.22355 1.75600 43.5% - 0s
* 704 119 30 1.2289803 1.41019 14.7% 6.1 0s
* 831 93 31 1.2713341 1.37817 8.40% 6.0 0s
* 1027 48 32 1.3015104 1.35205 3.88% 5.8 0s
Cutting planes:
Gomory: 14
Cover: 2
Implied bound: 11
MIR: 2
Flow cover: 26
Flow path: 1
Inf proof: 8
Explored 1089 nodes (6871 simplex iterations) in 0.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.30151 1.27133 1.22898 1.22355
Optimal solution found (tolerance 1.00e-02)
Best objective 1.301510395388e+00, best bound 1.304694663622e+00, gap 0.2447%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv6km5jsj.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmdngyqy9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18495
Presolve removed 299 rows and 189 columns
Presolve time: 0.02s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 2.087343e+00, 476 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08734 0 35 1.18495 2.08734 76.2% - 0s
0 0 1.73929 0 29 1.18495 1.73929 46.8% - 0s
0 0 1.73929 0 30 1.18495 1.73929 46.8% - 0s
0 0 1.73836 0 37 1.18495 1.73836 46.7% - 0s
0 0 1.73836 0 36 1.18495 1.73836 46.7% - 0s
0 2 1.73836 0 36 1.18495 1.73836 46.7% - 0s
* 305 138 44 1.2809586 1.55426 21.3% 7.4 0s
Cutting planes:
Gomory: 17
Cover: 13
Implied bound: 30
MIR: 5
Flow cover: 21
Inf proof: 27
Explored 2551 nodes (16921 simplex iterations) in 1.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.28096 1.18495
Optimal solution found (tolerance 1.00e-02)
Best objective 1.280958585293e+00, best bound 1.292575352732e+00, gap 0.9069%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw6q_m4zc.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwbbqhlpl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17911
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 2.020001e+00, 515 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02000 0 38 1.17911 2.02000 71.3% - 0s
0 0 1.68428 0 33 1.17911 1.68428 42.8% - 0s
0 0 1.67792 0 36 1.17911 1.67792 42.3% - 0s
0 0 1.67741 0 41 1.17911 1.67741 42.3% - 0s
0 0 1.67418 0 39 1.17911 1.67418 42.0% - 0s
0 0 1.67412 0 40 1.17911 1.67412 42.0% - 0s
0 0 1.67044 0 43 1.17911 1.67044 41.7% - 0s
0 0 1.66980 0 48 1.17911 1.66980 41.6% - 0s
0 0 1.66773 0 50 1.17911 1.66773 41.4% - 0s
0 0 1.66723 0 49 1.17911 1.66723 41.4% - 0s
0 0 1.66697 0 49 1.17911 1.66697 41.4% - 0s
0 0 1.66682 0 49 1.17911 1.66682 41.4% - 0s
0 0 1.66682 0 43 1.17911 1.66682 41.4% - 0s
0 2 1.66682 0 41 1.17911 1.66682 41.4% - 0s
* 356 165 49 1.1913610 1.44667 21.4% 7.2 0s
* 959 311 40 1.2299994 1.36367 10.9% 6.9 0s
* 1932 255 37 1.2310752 1.29494 5.19% 7.1 1s
Cutting planes:
Gomory: 21
Cover: 8
Implied bound: 20
MIR: 9
Flow cover: 38
Flow path: 1
Inf proof: 33
Explored 2232 nodes (16693 simplex iterations) in 1.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.23108 1.23 1.19136 1.17911
Optimal solution found (tolerance 1.00e-02)
Best objective 1.231075163094e+00, best bound 1.240992130312e+00, gap 0.8056%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp29p8j2mk.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfrnriqd8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1383
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.964966e+00, 589 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96497 0 38 1.13830 1.96497 72.6% - 0s
0 0 1.62773 0 31 1.13830 1.62773 43.0% - 0s
0 0 1.62773 0 34 1.13830 1.62773 43.0% - 0s
0 0 1.62716 0 38 1.13830 1.62716 42.9% - 0s
0 0 1.62716 0 38 1.13830 1.62716 42.9% - 0s
0 2 1.62716 0 37 1.13830 1.62716 42.9% - 0s
* 1255 332 50 1.1624368 1.30545 12.3% 7.1 0s
* 1505 350 41 1.1691907 1.29928 11.1% 6.9 0s
* 1607 325 41 1.1887286 1.29134 8.63% 6.7 1s
* 1618 322 37 1.1909601 1.29134 8.43% 6.8 1s
* 1820 276 35 1.1962515 1.27280 6.40% 6.6 1s
* 1822 275 36 1.1963536 1.27280 6.39% 6.6 1s
Cutting planes:
Gomory: 22
Cover: 8
Implied bound: 25
MIR: 7
Flow cover: 29
Inf proof: 35
Explored 2163 nodes (14208 simplex iterations) in 1.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.19635 1.19625 1.19096 ... 1.1383
Optimal solution found (tolerance 1.00e-02)
Best objective 1.196353596962e+00, best bound 1.205038029344e+00, gap 0.7259%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbrxwq2gb.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf4kivhvw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13343
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.870098e+00, 538 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87010 0 39 1.13343 1.87010 65.0% - 0s
0 0 1.54363 0 34 1.13343 1.54363 36.2% - 0s
0 0 1.54363 0 37 1.13343 1.54363 36.2% - 0s
0 0 1.54320 0 39 1.13343 1.54320 36.2% - 0s
0 0 1.54320 0 39 1.13343 1.54320 36.2% - 0s
0 2 1.54320 0 36 1.13343 1.54320 36.2% - 0s
Cutting planes:
Gomory: 20
Cover: 1
Implied bound: 20
MIR: 6
Flow cover: 29
Inf proof: 19
Explored 1641 nodes (10645 simplex iterations) in 1.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.13343
Optimal solution found (tolerance 1.00e-02)
Best objective 1.133428315535e+00, best bound 1.135526461131e+00, gap 0.1851%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp33bom4ab.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkm4t93ga.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12239
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.814231e+00, 602 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81423 0 42 1.12239 1.81423 61.6% - 0s
0 0 1.73588 0 45 1.12239 1.73588 54.7% - 0s
0 0 1.73588 0 45 1.12239 1.73588 54.7% - 0s
0 0 1.57737 0 52 1.12239 1.57737 40.5% - 0s
0 0 1.56510 0 52 1.12239 1.56510 39.4% - 0s
0 0 1.55895 0 52 1.12239 1.55895 38.9% - 0s
0 0 1.55882 0 52 1.12239 1.55882 38.9% - 0s
0 0 1.55550 0 52 1.12239 1.55550 38.6% - 0s
0 0 1.55531 0 54 1.12239 1.55531 38.6% - 0s
0 0 1.55530 0 51 1.12239 1.55530 38.6% - 0s
0 0 1.55530 0 46 1.12239 1.55530 38.6% - 0s
0 2 1.55530 0 46 1.12239 1.55530 38.6% - 0s
Cutting planes:
Gomory: 8
Cover: 8
Implied bound: 30
MIR: 2
Flow cover: 40
Inf proof: 42
Explored 2938 nodes (20538 simplex iterations) in 1.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.12239
Optimal solution found (tolerance 1.00e-02)
Best objective 1.122387506974e+00, best bound 1.132818392114e+00, gap 0.9293%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcnzo621w.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpihg2tuuq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11581
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.749107e+00, 658 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74911 0 44 1.11581 1.74911 56.8% - 0s
0 0 1.67995 0 50 1.11581 1.67995 50.6% - 0s
0 0 1.67469 0 55 1.11581 1.67469 50.1% - 0s
0 0 1.52879 0 54 1.11581 1.52879 37.0% - 0s
0 0 1.52686 0 53 1.11581 1.52686 36.8% - 0s
0 0 1.52336 0 53 1.11581 1.52336 36.5% - 0s
0 0 1.52330 0 55 1.11581 1.52330 36.5% - 0s
0 0 1.52212 0 59 1.11581 1.52212 36.4% - 0s
0 0 1.52129 0 60 1.11581 1.52129 36.3% - 0s
0 0 1.52108 0 61 1.11581 1.52108 36.3% - 0s
0 0 1.52108 0 61 1.11581 1.52108 36.3% - 0s
0 0 1.52108 0 61 1.11581 1.52108 36.3% - 0s
0 0 1.52108 0 45 1.11581 1.52108 36.3% - 0s
0 2 1.52108 0 45 1.11581 1.52108 36.3% - 0s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 26
MIR: 5
Flow cover: 47
Inf proof: 32
Explored 3133 nodes (21087 simplex iterations) in 2.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.11581
Optimal solution found (tolerance 1.00e-02)
Best objective 1.115812922665e+00, best bound 1.119459914642e+00, gap 0.3268%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmposn0yfpe.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7q3ry46n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1057
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.687586e+00, 697 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68759 0 43 1.10570 1.68759 52.6% - 0s
0 0 1.62396 0 51 1.10570 1.62396 46.9% - 0s
0 0 1.61892 0 54 1.10570 1.61892 46.4% - 0s
0 0 1.49388 0 52 1.10570 1.49388 35.1% - 0s
0 0 1.49388 0 55 1.10570 1.49388 35.1% - 0s
0 0 1.49042 0 65 1.10570 1.49042 34.8% - 0s
0 0 1.48707 0 62 1.10570 1.48707 34.5% - 0s
0 0 1.48647 0 64 1.10570 1.48647 34.4% - 0s
0 0 1.48645 0 65 1.10570 1.48645 34.4% - 0s
0 0 1.48645 0 65 1.10570 1.48645 34.4% - 0s
0 0 1.48645 0 65 1.10570 1.48645 34.4% - 0s
0 0 1.48645 0 58 1.10570 1.48645 34.4% - 0s
0 2 1.48645 0 58 1.10570 1.48645 34.4% - 0s
Cutting planes:
Learned: 2
Gomory: 31
Implied bound: 9
Projected implied bound: 14
Clique: 3
MIR: 12
Flow cover: 32
Flow path: 1
Inf proof: 10
Explored 1944 nodes (20020 simplex iterations) in 3.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.1057
Optimal solution found (tolerance 1.00e-02)
Best objective 1.105701819713e+00, best bound 1.105701819713e+00, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo70vdg8i.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf2dc7ucn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07665
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.618070e+00, 759 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61807 0 46 1.07665 1.61807 50.3% - 0s
0 0 1.55419 0 48 1.07665 1.55419 44.4% - 0s
0 0 1.55419 0 51 1.07665 1.55419 44.4% - 0s
0 0 1.55332 0 52 1.07665 1.55332 44.3% - 0s
0 0 1.55332 0 55 1.07665 1.55332 44.3% - 0s
0 0 1.55164 0 57 1.07665 1.55164 44.1% - 0s
0 0 1.54738 0 56 1.07665 1.54738 43.7% - 0s
0 0 1.54300 0 58 1.07665 1.54300 43.3% - 0s
0 0 1.53980 0 58 1.07665 1.53980 43.0% - 0s
0 0 1.53261 0 57 1.07665 1.53261 42.3% - 0s
0 0 1.53261 0 57 1.07665 1.53261 42.3% - 0s
0 0 1.53261 0 48 1.07665 1.53261 42.3% - 0s
0 2 1.53261 0 48 1.07665 1.53261 42.3% - 0s
Cutting planes:
Gomory: 1
Cover: 4
Implied bound: 32
MIR: 2
Flow cover: 41
Inf proof: 35
Explored 2773 nodes (19052 simplex iterations) in 1.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.07665
Optimal solution found (tolerance 1.00e-02)
Best objective 1.076653614273e+00, best bound 1.084159722815e+00, gap 0.6972%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2st4505m.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpevrxmut3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03551
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.555680e+00, 861 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55568 0 47 1.03551 1.55568 50.2% - 0s
0 0 1.49456 0 51 1.03551 1.49456 44.3% - 0s
0 0 1.49456 0 54 1.03551 1.49456 44.3% - 0s
0 0 1.49147 0 57 1.03551 1.49147 44.0% - 0s
0 0 1.49139 0 60 1.03551 1.49139 44.0% - 0s
0 0 1.48934 0 59 1.03551 1.48934 43.8% - 0s
0 0 1.48817 0 59 1.03551 1.48817 43.7% - 0s
0 0 1.48812 0 65 1.03551 1.48812 43.7% - 0s
0 0 1.48809 0 63 1.03551 1.48809 43.7% - 0s
0 0 1.48797 0 63 1.03551 1.48797 43.7% - 0s
0 0 1.48797 0 63 1.03551 1.48797 43.7% - 0s
0 0 1.48797 0 49 1.03551 1.48797 43.7% - 0s
0 2 1.48797 0 49 1.03551 1.48797 43.7% - 0s
Cutting planes:
Gomory: 3
Cover: 5
Implied bound: 29
MIR: 7
Flow cover: 44
Flow path: 1
Inf proof: 36
Explored 2838 nodes (20275 simplex iterations) in 2.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.03551
Optimal solution found (tolerance 1.00e-02)
Best objective 1.035505020265e+00, best bound 1.045161837366e+00, gap 0.9326%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptqtu4rbw.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3p1plvs2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02008
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.534630e+00, 782 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53463 0 47 1.02008 1.53463 50.4% - 0s
0 0 1.48051 0 56 1.02008 1.48051 45.1% - 0s
0 0 1.48051 0 59 1.02008 1.48051 45.1% - 0s
0 0 1.35793 0 57 1.02008 1.35793 33.1% - 0s
0 0 1.35793 0 60 1.02008 1.35793 33.1% - 0s
0 0 1.34642 0 70 1.02008 1.34642 32.0% - 0s
0 0 1.34358 0 69 1.02008 1.34358 31.7% - 0s
0 0 1.34226 0 73 1.02008 1.34226 31.6% - 0s
0 0 1.34197 0 71 1.02008 1.34197 31.6% - 0s
0 0 1.34191 0 70 1.02008 1.34191 31.5% - 0s
0 0 1.34191 0 70 1.02008 1.34191 31.5% - 0s
0 0 1.34191 0 63 1.02008 1.34191 31.5% - 0s
0 2 1.34191 0 63 1.02008 1.34191 31.5% - 0s
Cutting planes:
Gomory: 31
Cover: 2
Implied bound: 13
Projected implied bound: 34
MIR: 15
Flow cover: 30
Flow path: 1
Inf proof: 14
Explored 2205 nodes (21546 simplex iterations) in 4.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.02008
Optimal solution found (tolerance 1.00e-02)
Best objective 1.020082814588e+00, best bound 1.026198828156e+00, gap 0.5996%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptxnpts1g.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3bqwnrv2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00117
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.581051e+00, 884 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58105 0 56 1.00117 1.58105 57.9% - 0s
0 0 1.53399 0 62 1.00117 1.53399 53.2% - 0s
0 0 1.52945 0 67 1.00117 1.52945 52.8% - 0s
0 0 1.48423 0 72 1.00117 1.48423 48.2% - 0s
0 0 1.48415 0 74 1.00117 1.48415 48.2% - 0s
0 0 1.48129 0 74 1.00117 1.48129 48.0% - 0s
0 0 1.47972 0 77 1.00117 1.47972 47.8% - 0s
0 0 1.47928 0 82 1.00117 1.47928 47.8% - 0s
0 0 1.47864 0 82 1.00117 1.47864 47.7% - 0s
0 0 1.47848 0 86 1.00117 1.47848 47.7% - 0s
0 0 1.47833 0 85 1.00117 1.47833 47.7% - 0s
0 0 1.47833 0 85 1.00117 1.47833 47.7% - 0s
0 0 1.47829 0 84 1.00117 1.47829 47.7% - 0s
0 0 1.47829 0 79 1.00117 1.47829 47.7% - 0s
0 2 1.47829 0 75 1.00117 1.47829 47.7% - 0s
Cutting planes:
Learned: 1
Gomory: 3
Implied bound: 5
MIR: 2
Flow cover: 9
Flow path: 1
Explored 2801 nodes (24412 simplex iterations) in 3.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00117
Optimal solution found (tolerance 1.00e-02)
Best objective 1.001171842207e+00, best bound 1.004153449570e+00, gap 0.2978%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf_b937b4.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnyrj01ih.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.992384
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.547707e+00, 884 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54771 0 61 0.99238 1.54771 56.0% - 0s
0 0 1.48024 0 63 0.99238 1.48024 49.2% - 0s
0 0 1.48022 0 66 0.99238 1.48022 49.2% - 0s
0 0 1.46870 0 70 0.99238 1.46870 48.0% - 0s
0 0 1.46870 0 67 0.99238 1.46870 48.0% - 0s
0 0 1.46560 0 72 0.99238 1.46560 47.7% - 0s
0 0 1.46412 0 71 0.99238 1.46412 47.5% - 0s
0 0 1.46141 0 73 0.99238 1.46141 47.3% - 0s
0 0 1.46135 0 73 0.99238 1.46135 47.3% - 0s
0 0 1.46128 0 74 0.99238 1.46128 47.2% - 0s
0 0 1.46128 0 74 0.99238 1.46128 47.2% - 0s
0 0 1.46127 0 74 0.99238 1.46127 47.2% - 0s
0 0 1.46127 0 66 0.99238 1.46127 47.2% - 0s
0 2 1.46127 0 64 0.99238 1.46127 47.2% - 0s
4361 435 1.01874 53 52 0.99238 1.06393 7.21% 9.2 5s
Cutting planes:
Learned: 2
Gomory: 4
Cover: 4
Implied bound: 6
Clique: 3
MIR: 2
Flow cover: 12
Inf proof: 4
Explored 5829 nodes (53302 simplex iterations) in 6.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.992384
Optimal solution found (tolerance 1.00e-02)
Best objective 9.923844902474e-01, best bound 9.963545687053e-01, gap 0.4001%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppsodnu_r.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt4fakhre.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.963565
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.495352e+00, 843 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49535 0 62 0.96356 1.49535 55.2% - 0s
0 0 1.43788 0 69 0.96356 1.43788 49.2% - 0s
0 0 1.43685 0 69 0.96356 1.43685 49.1% - 0s
0 0 1.42441 0 75 0.96356 1.42441 47.8% - 0s
0 0 1.42430 0 75 0.96356 1.42430 47.8% - 0s
0 0 1.41866 0 75 0.96356 1.41866 47.2% - 0s
0 0 1.41495 0 74 0.96356 1.41495 46.8% - 0s
0 0 1.41289 0 78 0.96356 1.41289 46.6% - 0s
0 0 1.41181 0 80 0.96356 1.41181 46.5% - 0s
0 0 1.41114 0 83 0.96356 1.41114 46.4% - 0s
0 0 1.41113 0 84 0.96356 1.41113 46.4% - 0s
0 0 1.41042 0 87 0.96356 1.41042 46.4% - 0s
0 0 1.40994 0 87 0.96356 1.40994 46.3% - 0s
0 0 1.40987 0 90 0.96356 1.40987 46.3% - 0s
0 0 1.40987 0 90 0.96356 1.40987 46.3% - 0s
0 0 1.40987 0 90 0.96356 1.40987 46.3% - 0s
0 0 1.40987 0 82 0.96356 1.40987 46.3% - 0s
0 2 1.40987 0 80 0.96356 1.40987 46.3% - 0s
3745 664 cutoff 39 0.96356 1.07223 11.3% 9.7 5s
Cutting planes:
Gomory: 4
Implied bound: 10
MIR: 4
Flow cover: 20
Flow path: 1
Inf proof: 4
Explored 5809 nodes (56527 simplex iterations) in 7.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.963565
Optimal solution found (tolerance 1.00e-02)
Best objective 9.635647549629e-01, best bound 9.635951234790e-01, gap 0.0032%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpun6b4qqm.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp27fx1c2k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.962877
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.484730e+00, 928 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48473 0 67 0.96288 1.48473 54.2% - 0s
0 0 1.43409 0 71 0.96288 1.43409 48.9% - 0s
0 0 1.43017 0 73 0.96288 1.43017 48.5% - 0s
0 0 1.42086 0 81 0.96288 1.42086 47.6% - 0s
0 0 1.42079 0 81 0.96288 1.42079 47.6% - 0s
0 0 1.41768 0 86 0.96288 1.41768 47.2% - 0s
0 0 1.41637 0 88 0.96288 1.41637 47.1% - 0s
0 0 1.41592 0 91 0.96288 1.41592 47.1% - 0s
0 0 1.41533 0 91 0.96288 1.41533 47.0% - 0s
0 0 1.41520 0 91 0.96288 1.41520 47.0% - 0s
0 0 1.41508 0 91 0.96288 1.41508 47.0% - 0s
0 0 1.41502 0 91 0.96288 1.41502 47.0% - 0s
0 0 1.41502 0 83 0.96288 1.41502 47.0% - 0s
0 2 1.41502 0 81 0.96288 1.41502 47.0% - 0s
4312 982 cutoff 52 0.96288 1.05406 9.47% 7.9 5s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 6
MIR: 3
Flow cover: 16
Inf proof: 6
Explored 8711 nodes (71449 simplex iterations) in 10.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.962877
Optimal solution found (tolerance 1.00e-02)
Best objective 9.628772361512e-01, best bound 9.712552747849e-01, gap 0.8701%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx78echft.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo9r_uyi2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.956706
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.496312e+00, 1019 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49631 0 69 0.95671 1.49631 56.4% - 0s
0 0 1.43419 0 74 0.95671 1.43419 49.9% - 0s
0 0 1.43323 0 77 0.95671 1.43323 49.8% - 0s
0 0 1.42179 0 80 0.95671 1.42179 48.6% - 0s
0 0 1.42168 0 77 0.95671 1.42168 48.6% - 0s
0 0 1.41905 0 81 0.95671 1.41905 48.3% - 0s
0 0 1.41778 0 83 0.95671 1.41778 48.2% - 0s
0 0 1.41733 0 84 0.95671 1.41733 48.1% - 0s
0 0 1.41678 0 84 0.95671 1.41678 48.1% - 0s
0 0 1.41665 0 88 0.95671 1.41665 48.1% - 0s
0 0 1.41653 0 87 0.95671 1.41653 48.1% - 0s
0 0 1.41648 0 87 0.95671 1.41648 48.1% - 0s
0 0 1.41648 0 78 0.95671 1.41648 48.1% - 0s
0 2 1.41648 0 78 0.95671 1.41648 48.1% - 0s
3943 602 0.96218 61 25 0.95671 0.99029 3.51% 7.6 5s
Cutting planes:
Learned: 1
Gomory: 3
Cover: 1
Implied bound: 6
MIR: 1
Flow cover: 13
Flow path: 2
Inf proof: 3
Explored 5946 nodes (44002 simplex iterations) in 6.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.956706
Optimal solution found (tolerance 1.00e-02)
Best objective 9.567057802549e-01, best bound 9.647844920728e-01, gap 0.8444%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjsoeoq2q.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpur92riaf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927974
Presolve removed 494 rows and 309 columns
Presolve time: 0.03s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.450839e+00, 914 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45084 0 68 0.92797 1.45084 56.3% - 0s
0 0 1.39726 0 72 0.92797 1.39726 50.6% - 0s
0 0 1.39353 0 75 0.92797 1.39353 50.2% - 0s
0 0 1.37777 0 79 0.92797 1.37777 48.5% - 0s
0 0 1.37767 0 74 0.92797 1.37767 48.5% - 0s
0 0 1.37571 0 76 0.92797 1.37571 48.2% - 0s
0 0 1.37409 0 78 0.92797 1.37409 48.1% - 0s
0 0 1.37347 0 76 0.92797 1.37347 48.0% - 0s
0 0 1.37342 0 78 0.92797 1.37342 48.0% - 0s
0 0 1.37338 0 78 0.92797 1.37338 48.0% - 0s
0 0 1.37327 0 82 0.92797 1.37327 48.0% - 0s
0 0 1.37327 0 76 0.92797 1.37327 48.0% - 0s
0 2 1.37327 0 76 0.92797 1.37327 48.0% - 0s
3905 652 0.94967 51 56 0.92797 1.00193 7.97% 8.7 5s
Cutting planes:
Gomory: 3
Implied bound: 6
MIR: 2
Flow cover: 12
Flow path: 1
Explored 7095 nodes (61788 simplex iterations) in 8.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.927974
Optimal solution found (tolerance 1.00e-02)
Best objective 9.279740503027e-01, best bound 9.350009417211e-01, gap 0.7572%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnt4l85oj.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4kvul4pb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.922909
Presolve removed 507 rows and 317 columns
Presolve time: 0.04s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.437110e+00, 975 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43711 0 72 0.92291 1.43711 55.7% - 0s
0 0 1.38755 0 76 0.92291 1.38755 50.3% - 0s
0 0 1.38393 0 76 0.92291 1.38393 50.0% - 0s
0 0 1.37045 0 85 0.92291 1.37045 48.5% - 0s
0 0 1.37027 0 83 0.92291 1.37027 48.5% - 0s
0 0 1.36768 0 82 0.92291 1.36768 48.2% - 0s
0 0 1.36644 0 80 0.92291 1.36644 48.1% - 0s
0 0 1.36449 0 85 0.92291 1.36449 47.8% - 0s
0 0 1.36437 0 85 0.92291 1.36437 47.8% - 0s
0 0 1.36294 0 88 0.92291 1.36294 47.7% - 0s
0 0 1.36294 0 88 0.92291 1.36294 47.7% - 0s
0 0 1.36294 0 89 0.92291 1.36294 47.7% - 0s
0 0 1.36294 0 89 0.92291 1.36294 47.7% - 0s
0 0 1.36294 0 81 0.92291 1.36294 47.7% - 0s
0 2 1.36294 0 79 0.92291 1.36294 47.7% - 0s
3284 677 0.94215 62 40 0.92291 1.05058 13.8% 9.5 5s
7903 176 infeasible 66 0.92291 0.93420 1.22% 8.5 10s
Cutting planes:
Learned: 3
Gomory: 4
Implied bound: 8
Flow cover: 15
Explored 8362 nodes (71422 simplex iterations) in 10.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.922909
Optimal solution found (tolerance 1.00e-02)
Best objective 9.229087330223e-01, best bound 9.286014563414e-01, gap 0.6168%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcimg4nij.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxkmmezcc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.917039
Presolve removed 520 rows and 325 columns
Presolve time: 0.02s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.439855e+00, 989 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43985 0 73 0.91704 1.43985 57.0% - 0s
0 0 1.38914 0 76 0.91704 1.38914 51.5% - 0s
0 0 1.38907 0 76 0.91704 1.38907 51.5% - 0s
0 0 1.37679 0 86 0.91704 1.37679 50.1% - 0s
0 0 1.37668 0 84 0.91704 1.37668 50.1% - 0s
0 0 1.36992 0 88 0.91704 1.36992 49.4% - 0s
0 0 1.36899 0 90 0.91704 1.36899 49.3% - 0s
0 0 1.36852 0 92 0.91704 1.36852 49.2% - 0s
0 0 1.36816 0 89 0.91704 1.36816 49.2% - 0s
0 0 1.36816 0 89 0.91704 1.36816 49.2% - 0s
0 0 1.36756 0 86 0.91704 1.36756 49.1% - 0s
0 0 1.36695 0 87 0.91704 1.36695 49.1% - 0s
0 0 1.36668 0 87 0.91704 1.36668 49.0% - 0s
0 0 1.36659 0 85 0.91704 1.36659 49.0% - 0s
0 0 1.36656 0 87 0.91704 1.36656 49.0% - 0s
0 0 1.36638 0 87 0.91704 1.36638 49.0% - 0s
0 0 1.36638 0 87 0.91704 1.36638 49.0% - 0s
0 0 1.36621 0 79 0.91704 1.36621 49.0% - 0s
0 0 1.36620 0 79 0.91704 1.36620 49.0% - 0s
0 0 1.36620 0 81 0.91704 1.36620 49.0% - 0s
0 0 1.36620 0 82 0.91704 1.36620 49.0% - 0s
0 0 1.36620 0 84 0.91704 1.36620 49.0% - 0s
0 0 1.36620 0 84 0.91704 1.36620 49.0% - 0s
0 2 1.36620 0 82 0.91704 1.36620 49.0% - 0s
2995 894 0.95532 51 65 0.91704 1.09347 19.2% 9.7 5s
7098 1654 cutoff 35 0.91704 1.01287 10.4% 9.5 10s
11125 1225 infeasible 45 0.91704 0.95726 4.39% 9.1 15s
Cutting planes:
Learned: 1
Gomory: 6
Implied bound: 9
MIR: 3
Flow cover: 15
Flow path: 1
Inf proof: 2
Explored 14085 nodes (126850 simplex iterations) in 19.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.917039
Optimal solution found (tolerance 1.00e-02)
Best objective 9.170391624607e-01, best bound 9.242318260259e-01, gap 0.7843%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppyc4od3n.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1gm9bn21.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.912262
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.418728e+00, 1103 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41873 0 78 0.91226 1.41873 55.5% - 0s
0 0 1.37183 0 79 0.91226 1.37183 50.4% - 0s
0 0 1.36841 0 84 0.91226 1.36841 50.0% - 0s
0 0 1.35692 0 86 0.91226 1.35692 48.7% - 0s
0 0 1.35674 0 88 0.91226 1.35674 48.7% - 0s
0 0 1.35105 0 92 0.91226 1.35105 48.1% - 0s
0 0 1.35046 0 88 0.91226 1.35046 48.0% - 0s
0 0 1.34796 0 91 0.91226 1.34796 47.8% - 0s
0 0 1.34101 0 87 0.91226 1.34101 47.0% - 0s
0 0 1.33892 0 93 0.91226 1.33892 46.8% - 0s
0 0 1.33891 0 94 0.91226 1.33891 46.8% - 0s
0 0 1.33731 0 94 0.91226 1.33731 46.6% - 0s
0 0 1.33730 0 94 0.91226 1.33730 46.6% - 0s
0 0 1.33730 0 88 0.91226 1.33730 46.6% - 0s
0 2 1.33730 0 84 0.91226 1.33730 46.6% - 0s
1566 507 infeasible 66 0.91226 1.12445 23.3% 13.9 5s
4769 1078 0.93605 80 40 0.91226 1.00990 10.7% 12.3 10s
H 7178 1015 0.9122679 0.97244 6.60% 11.7 13s
8252 1186 infeasible 63 0.91227 0.96140 5.39% 11.2 15s
11587 1104 infeasible 69 0.91227 0.94057 3.10% 10.9 20s
Cutting planes:
Learned: 1
Gomory: 57
Cover: 1
Implied bound: 27
Projected implied bound: 20
MIR: 14
Flow cover: 72
Flow path: 1
Inf proof: 134
Explored 14454 nodes (159601 simplex iterations) in 24.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.912268 0.912262
Optimal solution found (tolerance 1.00e-02)
Best objective 9.122679004284e-01, best bound 9.187020251525e-01, gap 0.7053%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqh1697rx.pyomo.lp
Reading time = 0.02 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6wekf5jv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.893062
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.389394e+00, 1074 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38939 0 81 0.89306 1.38939 55.6% - 0s
0 0 1.34280 0 87 0.89306 1.34280 50.4% - 0s
0 0 1.33947 0 91 0.89306 1.33947 50.0% - 0s
0 0 1.33260 0 90 0.89306 1.33260 49.2% - 0s
0 0 1.33254 0 93 0.89306 1.33254 49.2% - 0s
0 0 1.33158 0 95 0.89306 1.33158 49.1% - 0s
0 0 1.33127 0 101 0.89306 1.33127 49.1% - 0s
0 0 1.32915 0 94 0.89306 1.32915 48.8% - 0s
0 0 1.32905 0 95 0.89306 1.32905 48.8% - 0s
0 0 1.32805 0 100 0.89306 1.32805 48.7% - 0s
0 0 1.32800 0 100 0.89306 1.32800 48.7% - 0s
0 0 1.32798 0 100 0.89306 1.32798 48.7% - 0s
0 0 1.32798 0 91 0.89306 1.32798 48.7% - 0s
0 2 1.32798 0 91 0.89306 1.32798 48.7% - 0s
2929 674 1.03537 43 62 0.89306 1.06804 19.6% 9.6 5s
6940 1289 infeasible 63 0.89306 0.95077 6.46% 8.5 10s
11039 130 0.89799 92 33 0.89306 0.90290 1.10% 8.1 15s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 6
MIR: 6
Flow cover: 15
Flow path: 1
Inf proof: 2
Explored 11397 nodes (92983 simplex iterations) in 15.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.893062
Optimal solution found (tolerance 1.00e-02)
Best objective 8.930615910613e-01, best bound 8.987954478864e-01, gap 0.6420%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp39e5lo_j.pyomo.lp
Reading time = 0.02 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf1ughqmw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884698
Presolve removed 559 rows and 349 columns
Presolve time: 0.04s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.359261e+00, 1017 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35926 0 85 0.88470 1.35926 53.6% - 0s
0 0 1.30315 0 90 0.88470 1.30315 47.3% - 0s
0 0 1.29991 0 91 0.88470 1.29991 46.9% - 0s
0 0 1.29091 0 100 0.88470 1.29091 45.9% - 0s
0 0 1.29075 0 99 0.88470 1.29075 45.9% - 0s
0 0 1.28902 0 103 0.88470 1.28902 45.7% - 0s
0 0 1.28809 0 101 0.88470 1.28809 45.6% - 0s
0 0 1.28755 0 103 0.88470 1.28755 45.5% - 0s
0 0 1.28726 0 106 0.88470 1.28726 45.5% - 0s
0 0 1.28681 0 107 0.88470 1.28681 45.5% - 0s
0 0 1.28681 0 106 0.88470 1.28681 45.5% - 0s
0 0 1.28673 0 106 0.88470 1.28673 45.4% - 0s
0 0 1.28673 0 90 0.88470 1.28673 45.4% - 0s
0 2 1.28673 0 90 0.88470 1.28673 45.4% - 0s
788 497 1.14371 18 103 0.88470 1.15187 30.2% 14.4 5s
3189 923 0.98907 47 77 0.88470 1.02621 16.0% 14.2 10s
H 4562 1030 0.8846982 0.98433 11.3% 14.3 12s
H 5735 1156 0.8846982 0.97345 10.0% 14.0 14s
5789 1147 0.90480 55 71 0.88470 0.97023 9.67% 14.0 15s
H 6735 1150 0.8846982 0.95113 7.51% 13.7 17s
8108 1020 cutoff 67 0.88470 0.93212 5.36% 13.6 20s
10664 530 0.90329 74 43 0.88470 0.90427 2.21% 13.4 25s
Cutting planes:
Gomory: 71
Cover: 4
Implied bound: 29
Projected implied bound: 30
Clique: 2
MIR: 29
Flow cover: 74
Flow path: 1
Inf proof: 102
Explored 11874 nodes (156593 simplex iterations) in 26.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.884698 0.884698 0.884698 0.884698
Optimal solution found (tolerance 1.00e-02)
Best objective 8.846981625436e-01, best bound 8.917197332354e-01, gap 0.7937%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7bhq918v.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbkdi8rsr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864964
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.324014e+00, 969 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32401 0 82 0.86496 1.32401 53.1% - 0s
0 0 1.26930 0 89 0.86496 1.26930 46.7% - 0s
0 0 1.26609 0 91 0.86496 1.26609 46.4% - 0s
0 0 1.25744 0 96 0.86496 1.25744 45.4% - 0s
0 0 1.25728 0 95 0.86496 1.25728 45.4% - 0s
0 0 1.25557 0 98 0.86496 1.25557 45.2% - 0s
0 0 1.25480 0 99 0.86496 1.25480 45.1% - 0s
0 0 1.25379 0 102 0.86496 1.25379 45.0% - 0s
0 0 1.25377 0 104 0.86496 1.25377 45.0% - 0s
0 0 1.25304 0 108 0.86496 1.25304 44.9% - 0s
0 0 1.25291 0 102 0.86496 1.25291 44.9% - 0s
0 0 1.25288 0 103 0.86496 1.25288 44.8% - 0s
0 0 1.25288 0 103 0.86496 1.25288 44.8% - 0s
0 0 1.25288 0 89 0.86496 1.25288 44.8% - 0s
0 2 1.25288 0 89 0.86496 1.25288 44.8% - 0s
768 458 1.03573 16 111 0.86496 1.11448 28.8% 15.6 5s
2002 526 infeasible 40 0.86496 1.06039 22.6% 17.3 10s
5869 1093 infeasible 59 0.86496 0.91415 5.69% 12.9 15s
8897 939 0.89280 62 49 0.86496 0.89280 3.22% 12.6 20s
Cutting planes:
Gomory: 57
Cover: 8
Implied bound: 26
Projected implied bound: 25
Clique: 2
MIR: 14
Flow cover: 85
Inf proof: 84
Explored 10699 nodes (133200 simplex iterations) in 24.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.864964
Optimal solution found (tolerance 1.00e-02)
Best objective 8.649635451441e-01, best bound 8.712109477078e-01, gap 0.7223%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1_j4vhdb.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplgm0cb4d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.862329
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.316864e+00, 1061 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31686 0 87 0.86233 1.31686 52.7% - 0s
0 0 1.25648 0 98 0.86233 1.25648 45.7% - 0s
0 0 1.25647 0 101 0.86233 1.25647 45.7% - 0s
0 0 1.25219 0 103 0.86233 1.25219 45.2% - 0s
0 0 1.25219 0 101 0.86233 1.25219 45.2% - 0s
0 0 1.24796 0 106 0.86233 1.24796 44.7% - 0s
0 0 1.24552 0 105 0.86233 1.24552 44.4% - 0s
0 0 1.24489 0 107 0.86233 1.24489 44.4% - 0s
0 0 1.24488 0 107 0.86233 1.24488 44.4% - 0s
0 0 1.24488 0 99 0.86233 1.24488 44.4% - 0s
0 2 1.24488 0 99 0.86233 1.24488 44.4% - 0s
H 743 490 0.8623292 1.12505 30.5% 10.4 1s
805 511 1.06415 23 109 0.86233 1.12010 29.9% 15.7 5s
3574 1222 cutoff 48 0.86233 1.00010 16.0% 12.7 10s
6095 1549 infeasible 57 0.86233 0.96589 12.0% 13.6 15s
8657 1762 0.86531 83 33 0.86233 0.93880 8.87% 14.2 20s
10879 1697 0.88660 63 54 0.86233 0.92510 7.28% 14.6 25s
13097 1211 cutoff 59 0.86233 0.90153 4.55% 15.0 30s
15297 241 cutoff 71 0.86233 0.87152 1.07% 14.8 35s
Cutting planes:
Learned: 1
Gomory: 55
Cover: 2
Implied bound: 23
Projected implied bound: 36
Clique: 4
MIR: 32
Flow cover: 102
Flow path: 3
Inf proof: 151
Explored 15481 nodes (229932 simplex iterations) in 35.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.862329 0.862329
Optimal solution found (tolerance 1.00e-02)
Best objective 8.623292093913e-01, best bound 8.692939590778e-01, gap 0.8077%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9u23dxcu.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp993r7pgs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.843145
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.287446e+00, 1196 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28745 0 88 0.84314 1.28745 52.7% - 0s
0 0 1.23509 0 95 0.84314 1.23509 46.5% - 0s
0 0 1.23200 0 97 0.84314 1.23200 46.1% - 0s
0 0 1.22530 0 107 0.84314 1.22530 45.3% - 0s
0 0 1.22422 0 108 0.84314 1.22422 45.2% - 0s
0 0 1.22242 0 118 0.84314 1.22242 45.0% - 0s
0 0 1.22063 0 119 0.84314 1.22063 44.8% - 0s
0 0 1.21977 0 119 0.84314 1.21977 44.7% - 0s
0 0 1.21977 0 120 0.84314 1.21977 44.7% - 0s
0 0 1.21977 0 108 0.84314 1.21977 44.7% - 0s
0 2 1.21977 0 108 0.84314 1.21977 44.7% - 0s
760 481 1.12825 15 120 0.84314 1.13325 34.4% 16.1 5s
2103 592 0.99764 30 112 0.84314 1.03693 23.0% 16.0 10s
4366 980 cutoff 101 0.84314 0.97307 15.4% 15.7 15s
6042 1286 cutoff 81 0.84314 0.93810 11.3% 15.6 20s
8413 1331 cutoff 65 0.84314 0.90449 7.28% 15.3 25s
11182 1466 0.88246 68 63 0.84314 0.88246 4.66% 14.5 30s
13157 1274 cutoff 83 0.84314 0.86886 3.05% 14.2 35s
15959 866 infeasible 94 0.84314 0.85785 1.74% 13.6 40s
Cutting planes:
Gomory: 66
Cover: 3
Implied bound: 32
Projected implied bound: 23
Clique: 1
MIR: 26
Flow cover: 113
Flow path: 2
Inf proof: 175
Network: 1
Explored 16976 nodes (233520 simplex iterations) in 41.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.843145
Optimal solution found (tolerance 1.00e-02)
Best objective 8.431449396442e-01, best bound 8.501660506491e-01, gap 0.8327%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp33jhr32l.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3j7gt5k0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.839564
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.289541e+00, 1199 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28954 0 90 0.83956 1.28954 53.6% - 0s
0 0 1.23580 0 101 0.83956 1.23580 47.2% - 0s
0 0 1.23284 0 101 0.83956 1.23284 46.8% - 0s
0 0 1.22578 0 108 0.83956 1.22578 46.0% - 0s
0 0 1.22478 0 104 0.83956 1.22478 45.9% - 0s
0 0 1.22297 0 111 0.83956 1.22297 45.7% - 0s
0 0 1.22110 0 108 0.83956 1.22110 45.4% - 0s
0 0 1.22028 0 109 0.83956 1.22028 45.3% - 0s
0 0 1.22023 0 109 0.83956 1.22023 45.3% - 0s
0 0 1.22014 0 109 0.83956 1.22014 45.3% - 0s
0 0 1.22014 0 113 0.83956 1.22014 45.3% - 0s
0 0 1.22014 0 106 0.83956 1.22014 45.3% - 0s
0 2 1.22014 0 104 0.83956 1.22014 45.3% - 0s
790 499 1.12050 15 122 0.83956 1.12050 33.5% 15.2 5s
3372 965 0.90385 51 88 0.83956 0.99746 18.8% 13.3 10s
6812 2088 cutoff 52 0.83956 0.94726 12.8% 12.3 15s
9380 2615 0.86604 61 54 0.83956 0.93204 11.0% 11.6 20s
12148 2787 cutoff 60 0.83956 0.91583 9.08% 11.8 25s
13968 2766 infeasible 57 0.83956 0.90452 7.74% 12.3 30s
16622 2764 0.89144 60 84 0.83956 0.89213 6.26% 12.5 35s
19216 2710 0.87569 65 75 0.83956 0.88450 5.35% 12.7 40s
21410 2356 0.87683 66 65 0.83956 0.87683 4.44% 13.0 45s
23629 1967 0.86712 69 55 0.83956 0.86838 3.43% 13.3 50s
26050 987 infeasible 69 0.83956 0.85678 2.05% 13.5 55s
Cutting planes:
Learned: 2
Gomory: 58
Cover: 9
Implied bound: 29
Projected implied bound: 27
Clique: 2
MIR: 16
Flow cover: 96
Flow path: 1
Inf proof: 249
Explored 27306 nodes (373222 simplex iterations) in 57.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.839564
Optimal solution found (tolerance 1.00e-02)
Best objective 8.395640277129e-01, best bound 8.478632755592e-01, gap 0.9885%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplimxzo3s.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq2_c2jdg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829353
Presolve removed 624 rows and 389 columns
Presolve time: 0.04s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.270354e+00, 1193 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27035 0 96 0.82935 1.27035 53.2% - 0s
0 0 1.21567 0 110 0.82935 1.21567 46.6% - 0s
0 0 1.21557 0 110 0.82935 1.21557 46.6% - 0s
0 0 1.20713 0 116 0.82935 1.20713 45.6% - 0s
0 0 1.20702 0 115 0.82935 1.20702 45.5% - 0s
0 0 1.20566 0 118 0.82935 1.20566 45.4% - 0s
0 0 1.20500 0 118 0.82935 1.20500 45.3% - 0s
0 0 1.20384 0 119 0.82935 1.20384 45.2% - 0s
0 0 1.20384 0 119 0.82935 1.20384 45.2% - 0s
0 0 1.20384 0 119 0.82935 1.20384 45.2% - 0s
0 0 1.20374 0 124 0.82935 1.20374 45.1% - 0s
0 0 1.20374 0 113 0.82935 1.20374 45.1% - 0s
0 2 1.20374 0 113 0.82935 1.20374 45.1% - 0s
747 546 1.04148 37 120 0.82935 1.10780 33.6% 7.9 5s
2285 911 0.99348 33 113 0.82935 1.02959 24.1% 14.6 10s
3806 1263 0.91205 44 105 0.82935 0.99940 20.5% 15.8 15s
H 4952 1721 0.8294486 0.98319 18.5% 15.3 18s
5427 1750 0.92246 38 112 0.82945 0.97684 17.8% 15.4 20s
7866 2028 0.88024 50 95 0.82945 0.94258 13.6% 15.5 25s
10536 2423 0.87179 47 89 0.82945 0.91907 10.8% 14.6 30s
12527 2268 0.86904 51 111 0.82945 0.89918 8.41% 14.4 35s
14738 2077 0.87102 53 86 0.82945 0.88128 6.25% 14.2 40s
17093 1867 cutoff 58 0.82945 0.86680 4.50% 14.2 45s
18744 1563 infeasible 55 0.82945 0.85844 3.50% 14.2 50s
21231 912 infeasible 69 0.82945 0.84518 1.90% 14.2 55s
Cutting planes:
Gomory: 79
Cover: 4
Implied bound: 44
Projected implied bound: 37
Clique: 3
MIR: 24
Flow cover: 131
Flow path: 3
Inf proof: 236
Explored 22979 nodes (325514 simplex iterations) in 58.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.829449 0.829353
Optimal solution found (tolerance 1.00e-02)
Best objective 8.294485691564e-01, best bound 8.376619067118e-01, gap 0.9902%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg5q7qe2k.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy0nc2w98.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.825751
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.255045e+00, 1216 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25504 0 98 0.82575 1.25504 52.0% - 0s
0 0 1.20347 0 113 0.82575 1.20347 45.7% - 0s
0 0 1.20049 0 115 0.82575 1.20049 45.4% - 0s
0 0 1.19406 0 118 0.82575 1.19406 44.6% - 0s
0 0 1.19320 0 116 0.82575 1.19320 44.5% - 0s
0 0 1.18851 0 121 0.82575 1.18851 43.9% - 0s
0 0 1.18790 0 120 0.82575 1.18790 43.9% - 0s
0 0 1.18675 0 122 0.82575 1.18675 43.7% - 0s
0 0 1.18675 0 122 0.82575 1.18675 43.7% - 0s
0 0 1.18498 0 124 0.82575 1.18498 43.5% - 0s
0 0 1.18438 0 124 0.82575 1.18438 43.4% - 0s
0 0 1.18427 0 129 0.82575 1.18427 43.4% - 0s
0 0 1.18426 0 129 0.82575 1.18426 43.4% - 0s
0 0 1.18426 0 129 0.82575 1.18426 43.4% - 0s
0 0 1.18426 0 116 0.82575 1.18426 43.4% - 0s
0 2 1.18426 0 116 0.82575 1.18426 43.4% - 0s
785 498 1.09318 10 129 0.82575 1.09318 32.4% 14.7 5s
2463 945 0.95429 33 123 0.82575 1.05588 27.9% 14.9 10s
H 3685 1502 0.8258005 1.02728 24.4% 14.1 12s
5262 2263 infeasible 35 0.82580 0.99961 21.0% 13.5 15s
8204 3330 infeasible 47 0.82580 0.97976 18.6% 13.3 20s
11196 4189 0.93956 41 84 0.82580 0.95529 15.7% 12.5 25s
14249 4808 0.84764 49 98 0.82580 0.93808 13.6% 12.6 30s
16686 5239 infeasible 65 0.82580 0.92745 12.3% 12.8 35s
19522 5789 cutoff 53 0.82580 0.92049 11.5% 12.8 40s
20484 5911 0.82825 62 116 0.82580 0.91820 11.2% 12.9 58s
20492 5916 0.86985 23 167 0.82580 0.91820 11.2% 12.9 61s
20498 5920 0.86749 49 172 0.82580 0.91820 11.2% 12.9 66s
20502 5923 0.90305 45 172 0.82580 0.91820 11.2% 12.9 70s
20508 5927 0.90805 54 193 0.82580 0.91820 11.2% 12.9 75s
20513 5930 0.85424 47 202 0.82580 0.91820 11.2% 12.9 80s
20519 5934 0.83870 68 197 0.82580 0.91820 11.2% 12.9 85s
20523 5937 0.89224 58 208 0.82580 0.91820 11.2% 12.9 90s
20529 5941 0.87680 38 197 0.82580 0.91820 11.2% 12.9 96s
20533 5944 0.90330 56 193 0.82580 0.91820 11.2% 12.9 100s
20537 5946 0.83688 116 204 0.82580 0.91820 11.2% 12.9 105s
20542 5950 0.89981 56 204 0.82580 0.91820 11.2% 12.9 110s
20547 5953 0.83302 77 209 0.82580 0.91820 11.2% 12.9 115s
20551 5956 0.83956 69 207 0.82580 0.91820 11.2% 12.9 120s
20556 5959 0.89475 56 200 0.82580 0.91820 11.2% 12.9 125s
20561 5962 0.90254 60 218 0.82580 0.91820 11.2% 12.9 130s
20566 5966 0.89657 57 196 0.82580 0.91820 11.2% 12.9 136s
20570 5968 0.87809 50 202 0.82580 0.91820 11.2% 12.9 140s
20575 5972 0.86175 54 199 0.82580 0.91820 11.2% 12.9 146s
20578 5974 0.91673 53 216 0.82580 0.91820 11.2% 12.9 150s
20583 5977 0.84668 53 216 0.82580 0.91820 11.2% 12.9 156s
20587 5980 0.88704 68 215 0.82580 0.91820 11.2% 12.9 160s
20593 5984 0.87087 60 229 0.82580 0.91820 11.2% 12.9 165s
20598 5987 0.86749 49 227 0.82580 0.91820 11.2% 12.9 170s
H20600 5686 0.8258005 0.91820 11.2% 12.9 176s
20605 5690 0.91682 41 227 0.82580 0.91820 11.2% 12.8 182s
20607 5691 0.89890 47 217 0.82580 0.91820 11.2% 12.8 185s
20614 5696 0.87332 64 228 0.82580 0.91694 11.0% 12.8 191s
20619 5699 0.83870 68 222 0.82580 0.91641 11.0% 12.8 195s
20623 5702 0.89224 58 222 0.82580 0.91605 10.9% 12.8 201s
20628 5705 0.83168 70 230 0.82580 0.91587 10.9% 12.8 205s
20634 5709 0.82866 83 230 0.82580 0.91564 10.9% 12.8 210s
20639 5712 0.87668 55 227 0.82580 0.91562 10.9% 12.8 216s
20645 5716 0.90831 61 234 0.82580 0.91546 10.9% 12.8 220s
20652 5721 0.84522 73 238 0.82580 0.91501 10.8% 12.8 225s
20658 5725 0.89367 67 239 0.82580 0.91442 10.7% 12.8 230s
20663 5728 0.91430 59 238 0.82580 0.91430 10.7% 12.8 235s
20668 5732 0.88406 51 235 0.82580 0.91420 10.7% 12.8 240s
20672 5734 0.90611 46 236 0.82580 0.91396 10.7% 12.8 245s
20677 5738 0.86654 37 237 0.82580 0.91370 10.6% 12.8 251s
20681 5740 0.83341 86 252 0.82580 0.91268 10.5% 12.8 257s
20684 5742 0.82825 62 254 0.82580 0.91250 10.5% 12.8 260s
20690 5746 0.89015 51 242 0.82580 0.91234 10.5% 12.8 265s
20694 5749 0.91233 51 244 0.82580 0.91233 10.5% 12.8 270s
20695 5753 0.91041 20 234 0.82580 0.91110 10.3% 14.8 289s
20697 5751 0.90995 21 240 0.82580 0.90995 10.2% 14.8 297s
20712 5748 infeasible 25 0.82580 0.90909 10.1% 15.1 300s
20867 5744 0.89671 29 214 0.82580 0.90614 9.73% 15.7 305s
21046 5747 0.88367 39 191 0.82580 0.89911 8.88% 16.4 310s
21232 5767 infeasible 35 0.82580 0.89706 8.63% 17.3 315s
*21487 5526 106 0.8258005 0.89603 8.50% 18.0 319s
21564 5544 0.88882 44 198 0.82580 0.89551 8.44% 18.3 320s
21929 5550 infeasible 36 0.82580 0.89266 8.10% 19.7 325s
22219 5520 infeasible 40 0.82580 0.88749 7.47% 21.1 330s
22457 5509 0.85869 49 157 0.82580 0.88587 7.27% 22.1 335s
22843 5512 infeasible 42 0.82580 0.88316 6.95% 23.4 340s
23129 5504 cutoff 45 0.82580 0.88114 6.70% 24.6 345s
23615 5470 0.87380 48 160 0.82580 0.87944 6.50% 26.3 351s
23906 5431 0.84907 50 144 0.82580 0.87775 6.29% 27.2 355s
24074 5386 0.85243 43 159 0.82580 0.87683 6.18% 27.9 360s
24559 5319 0.86594 46 170 0.82580 0.87530 5.99% 29.2 368s
24709 5286 0.84660 51 161 0.82580 0.87530 5.99% 29.8 370s
25034 5201 0.86389 42 160 0.82580 0.87369 5.80% 31.1 377s
25213 5145 0.85868 41 164 0.82580 0.87332 5.75% 31.7 380s
25690 5068 0.82712 54 83 0.82580 0.87103 5.48% 32.8 386s
26070 4945 0.83641 51 109 0.82580 0.86982 5.33% 33.7 392s
26359 4850 0.86399 36 186 0.82580 0.86885 5.21% 34.3 395s
26935 4670 0.83100 48 127 0.82580 0.86646 4.92% 35.6 402s
27245 4576 0.85177 40 177 0.82580 0.86556 4.81% 36.3 406s
27473 4503 cutoff 42 0.82580 0.86465 4.70% 36.7 411s
27626 4401 0.85798 44 150 0.82580 0.86443 4.68% 37.0 415s
28042 4268 infeasible 44 0.82580 0.86253 4.45% 37.5 420s
28820 3943 0.84631 45 127 0.82580 0.85757 3.85% 38.8 428s
29214 3817 0.84549 45 118 0.82580 0.85621 3.68% 39.3 431s
29814 3496 0.85204 48 91 0.82580 0.85204 3.18% 40.2 437s
30101 3350 cutoff 46 0.82580 0.84978 2.90% 40.5 442s
30486 3225 cutoff 48 0.82580 0.84851 2.75% 40.8 445s
31129 2943 infeasible 41 0.82580 0.84460 2.28% 41.3 450s
31865 2500 cutoff 54 0.82580 0.83947 1.66% 41.9 456s
32858 2096 0.83287 60 114 0.82580 0.83572 1.20% 41.8 461s
Cutting planes:
Learned: 5
Gomory: 219
Cover: 25
Implied bound: 32
Projected implied bound: 53
Clique: 11
MIR: 270
StrongCG: 6
Flow cover: 744
Flow path: 3
Inf proof: 140
Zero half: 2
Network: 1
Explored 33493 nodes (1391299 simplex iterations) in 462.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.825801 0.825801 0.825801 0.825751
Optimal solution found (tolerance 1.00e-02)
Best objective 8.258005105553e-01, best bound 8.333569637636e-01, gap 0.9150%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb8x87wh2.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmw2ssoqt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.818009
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.241251e+00, 1240 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24125 0 101 0.81801 1.24125 51.7% - 0s
0 0 1.19016 0 113 0.81801 1.19016 45.5% - 0s
0 0 1.18719 0 117 0.81801 1.18719 45.1% - 0s
0 0 1.18225 0 116 0.81801 1.18225 44.5% - 0s
0 0 1.18220 0 120 0.81801 1.18220 44.5% - 0s
0 0 1.17826 0 120 0.81801 1.17826 44.0% - 0s
0 0 1.17685 0 124 0.81801 1.17685 43.9% - 0s
0 0 1.17615 0 120 0.81801 1.17615 43.8% - 0s
0 0 1.17607 0 121 0.81801 1.17607 43.8% - 0s
0 0 1.17454 0 128 0.81801 1.17454 43.6% - 0s
0 0 1.17277 0 127 0.81801 1.17277 43.4% - 0s
0 0 1.17226 0 129 0.81801 1.17226 43.3% - 0s
0 0 1.17226 0 128 0.81801 1.17226 43.3% - 0s
0 0 1.17169 0 129 0.81801 1.17169 43.2% - 0s
0 0 1.17169 0 130 0.81801 1.17169 43.2% - 0s
0 0 1.17160 0 130 0.81801 1.17160 43.2% - 0s
0 0 1.17116 0 128 0.81801 1.17116 43.2% - 0s
0 0 1.17109 0 129 0.81801 1.17109 43.2% - 0s
0 0 1.17109 0 129 0.81801 1.17109 43.2% - 0s
0 0 1.17100 0 129 0.81801 1.17100 43.2% - 0s
0 0 1.17084 0 128 0.81801 1.17084 43.1% - 0s
0 0 1.17084 0 117 0.81801 1.17084 43.1% - 0s
0 2 1.17084 0 117 0.81801 1.17084 43.1% - 0s
779 523 1.08594 16 130 0.81801 1.08594 32.8% 15.7 5s
2330 737 0.93867 42 105 0.81801 1.01288 23.8% 15.1 10s
4719 1720 0.86139 62 85 0.81801 0.97070 18.7% 13.8 15s
7461 2219 0.85417 50 55 0.81801 0.93544 14.4% 13.0 20s
10023 2560 infeasible 50 0.81801 0.90872 11.1% 12.4 26s
H10063 2560 0.8180093 0.90834 11.0% 12.4 26s
11828 2084 infeasible 61 0.81801 0.88449 8.13% 12.0 30s
14099 2023 infeasible 34 0.81801 0.86944 6.29% 12.0 35s
16762 1807 infeasible 61 0.81801 0.85508 4.53% 12.0 40s
18927 1334 0.84119 71 56 0.81801 0.84282 3.03% 12.1 45s
21242 655 infeasible 98 0.81801 0.82713 1.12% 12.0 50s
Cutting planes:
Learned: 4
Gomory: 59
Cover: 2
Implied bound: 21
Projected implied bound: 20
MIR: 18
Flow cover: 90
Flow path: 4
Inf proof: 219
Zero half: 1
Explored 21437 nodes (259689 simplex iterations) in 50.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.818009 0.818009
Optimal solution found (tolerance 1.00e-02)
Best objective 8.180092822188e-01, best bound 8.256756415876e-01, gap 0.9372%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7ls9cwj0.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5w7df493.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.814939
Presolve removed 663 rows and 413 columns
Presolve time: 0.04s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.242646e+00, 1237 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24265 0 97 0.81494 1.24265 52.5% - 0s
0 0 1.18878 0 113 0.81494 1.18878 45.9% - 0s
0 0 1.18874 0 113 0.81494 1.18874 45.9% - 0s
0 0 1.18348 0 119 0.81494 1.18348 45.2% - 0s
0 0 1.18264 0 120 0.81494 1.18264 45.1% - 0s
0 0 1.18159 0 123 0.81494 1.18159 45.0% - 0s
0 0 1.18073 0 122 0.81494 1.18073 44.9% - 0s
0 0 1.17959 0 119 0.81494 1.17959 44.7% - 0s
0 0 1.17928 0 120 0.81494 1.17928 44.7% - 0s
0 0 1.17923 0 122 0.81494 1.17923 44.7% - 0s
0 0 1.17923 0 121 0.81494 1.17923 44.7% - 0s
0 0 1.17918 0 125 0.81494 1.17918 44.7% - 0s
0 0 1.17918 0 111 0.81494 1.17918 44.7% - 0s
0 0 1.17918 0 111 0.81494 1.17918 44.7% - 0s
0 2 1.17918 0 111 0.81494 1.17918 44.7% - 0s
806 550 1.09148 15 136 0.81494 1.09148 33.9% 15.5 5s
2269 615 0.82970 56 103 0.81494 0.98794 21.2% 16.2 10s
4369 1337 0.82503 94 58 0.81494 0.95669 17.4% 14.2 15s
H 4371 1339 0.8149387 0.95669 17.4% 14.2 15s
7143 2117 infeasible 44 0.81494 0.92102 13.0% 13.2 20s
10005 2484 infeasible 76 0.81494 0.89790 10.2% 13.5 25s
12065 2514 0.87687 58 92 0.81494 0.88057 8.05% 13.7 30s
14192 2608 0.82652 78 55 0.81494 0.86539 6.19% 13.7 35s
15981 2717 0.82067 66 86 0.81494 0.85894 5.40% 13.5 40s
17758 2768 0.83708 70 49 0.81494 0.85371 4.76% 13.5 45s
20227 2789 0.84814 61 74 0.81494 0.84835 4.10% 13.8 50s
22286 2527 infeasible 65 0.81494 0.84130 3.23% 14.0 55s
24368 2260 0.83572 58 95 0.81494 0.83592 2.57% 14.1 60s
26182 1732 0.82809 75 61 0.81494 0.83023 1.88% 14.3 65s
28323 870 0.82254 70 37 0.81494 0.82416 1.13% 14.5 70s
Cutting planes:
Gomory: 79
Cover: 3
Implied bound: 37
Projected implied bound: 26
Clique: 3
MIR: 21
Flow cover: 94
Flow path: 4
Inf proof: 266
Network: 1
Explored 28575 nodes (415668 simplex iterations) in 70.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.814939 0.814939
Optimal solution found (tolerance 1.00e-02)
Best objective 8.149386533682e-01, best bound 8.228640409509e-01, gap 0.9725%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuzftrsu7.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9lvwrasq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.807264
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.228051e+00, 1162 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22805 0 98 0.80726 1.22805 52.1% - 0s
0 0 1.17551 0 117 0.80726 1.17551 45.6% - 0s
0 0 1.17546 0 117 0.80726 1.17546 45.6% - 0s
0 0 1.17150 0 123 0.80726 1.17150 45.1% - 0s
0 0 1.17069 0 120 0.80726 1.17069 45.0% - 0s
0 0 1.16606 0 126 0.80726 1.16606 44.4% - 0s
0 0 1.16395 0 124 0.80726 1.16395 44.2% - 0s
0 0 1.16321 0 125 0.80726 1.16321 44.1% - 0s
0 0 1.16316 0 125 0.80726 1.16316 44.1% - 0s
0 0 1.16308 0 125 0.80726 1.16308 44.1% - 0s
0 0 1.16308 0 125 0.80726 1.16308 44.1% - 0s
0 0 1.16308 0 118 0.80726 1.16308 44.1% - 0s
0 2 1.16308 0 118 0.80726 1.16308 44.1% - 0s
807 560 0.91607 18 153 0.80726 1.07477 33.1% 11.1 5s
1567 715 0.96161 55 120 0.80726 1.03207 27.8% 16.4 10s
H 2719 825 0.8072637 0.99673 23.5% 16.1 13s
3435 1104 0.92544 56 115 0.80726 0.97577 20.9% 15.2 15s
6087 2086 0.92622 61 101 0.80726 0.94385 16.9% 14.4 21s
7443 2329 0.84774 62 82 0.80726 0.93260 15.5% 14.6 25s
10246 2758 infeasible 66 0.80726 0.90640 12.3% 14.0 30s
12454 2928 0.83146 62 113 0.80726 0.88440 9.56% 13.8 35s
14648 2834 infeasible 70 0.80726 0.86634 7.32% 13.8 40s
16249 2641 0.83496 68 84 0.80726 0.85369 5.75% 13.7 45s
18765 2787 0.84384 75 78 0.80726 0.84554 4.74% 13.5 50s
21130 2685 cutoff 79 0.80726 0.83940 3.98% 13.6 55s
22896 2303 cutoff 75 0.80726 0.83303 3.19% 14.0 60s
25129 1772 infeasible 80 0.80726 0.82660 2.40% 14.5 65s
27235 873 infeasible 83 0.80726 0.81866 1.41% 14.8 70s
Cutting planes:
Gomory: 69
Cover: 8
Implied bound: 40
Projected implied bound: 27
MIR: 27
Flow cover: 113
Flow path: 3
Inf proof: 270
Zero half: 1
Explored 27890 nodes (416138 simplex iterations) in 71.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.807264 0.807264
Optimal solution found (tolerance 1.00e-02)
Best objective 8.072636599643e-01, best bound 8.142217030824e-01, gap 0.8619%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6q56pl3h.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1cq6bls6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.798658
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.210166e+00, 1225 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21017 0 99 0.79866 1.21017 51.5% - 0s
0 0 1.16421 0 116 0.79866 1.16421 45.8% - 0s
0 0 1.16160 0 117 0.79866 1.16160 45.4% - 0s
0 0 1.15577 0 124 0.79866 1.15577 44.7% - 0s
0 0 1.15557 0 120 0.79866 1.15557 44.7% - 0s
0 0 1.15414 0 128 0.79866 1.15414 44.5% - 0s
0 0 1.15307 0 127 0.79866 1.15307 44.4% - 0s
0 0 1.15250 0 128 0.79866 1.15250 44.3% - 0s
0 0 1.15241 0 129 0.79866 1.15241 44.3% - 0s
0 0 1.15241 0 133 0.79866 1.15241 44.3% - 0s
0 0 1.15241 0 122 0.79866 1.15241 44.3% - 0s
0 2 1.15241 0 122 0.79866 1.15241 44.3% - 0s
748 516 1.06588 14 139 0.79866 1.06742 33.7% 18.2 6s
1533 654 0.96503 26 137 0.79866 1.02407 28.2% 20.4 10s
3308 1277 infeasible 67 0.79866 0.98318 23.1% 18.8 15s
5697 1947 0.88145 47 111 0.79866 0.93374 16.9% 16.9 20s
7053 2236 0.83526 60 105 0.79866 0.91429 14.5% 16.9 25s
9873 3185 0.86553 47 119 0.79866 0.89370 11.9% 15.6 30s
11829 3169 infeasible 46 0.79866 0.87601 9.69% 15.2 35s
H12810 3358 0.7986576 0.87202 9.19% 15.0 37s
13515 3311 infeasible 50 0.79866 0.86964 8.89% 15.0 40s
15866 3391 infeasible 51 0.79866 0.86131 7.84% 15.0 45s
17454 3201 0.84783 57 89 0.79866 0.85319 6.83% 15.0 50s
19349 2772 infeasible 66 0.79866 0.84316 5.57% 15.1 55s
20816 2322 0.83433 53 90 0.79866 0.83433 4.47% 15.1 60s
22369 1908 infeasible 50 0.79866 0.82529 3.33% 15.1 65s
24836 1529 cutoff 51 0.79866 0.81480 2.02% 14.7 70s
27049 1079 cutoff 84 0.79866 0.80785 1.15% 14.4 75s
Cutting planes:
Learned: 2
Gomory: 72
Cover: 2
Implied bound: 27
Projected implied bound: 29
Clique: 4
MIR: 23
Flow cover: 104
Flow path: 3
Inf proof: 231
Explored 27254 nodes (393937 simplex iterations) in 75.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.798658 0.798658
Optimal solution found (tolerance 1.00e-02)
Best objective 7.986576225858e-01, best bound 8.059107426488e-01, gap 0.9082%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm76ga8t1.pyomo.lp
Reading time = 0.02 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7t0ab3rb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794054
Presolve removed 702 rows and 437 columns
Presolve time: 0.06s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.200743e+00, 1283 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20074 0 101 0.79405 1.20074 51.2% - 0s
0 0 1.15334 0 119 0.79405 1.15334 45.2% - 0s
0 0 1.15082 0 119 0.79405 1.15082 44.9% - 0s
0 0 1.14609 0 120 0.79405 1.14609 44.3% - 0s
0 0 1.14524 0 123 0.79405 1.14524 44.2% - 0s
0 0 1.14339 0 129 0.79405 1.14339 44.0% - 0s
0 0 1.14200 0 128 0.79405 1.14200 43.8% - 0s
0 0 1.14157 0 128 0.79405 1.14157 43.8% - 0s
0 0 1.14157 0 132 0.79405 1.14157 43.8% - 0s
0 0 1.14145 0 135 0.79405 1.14145 43.7% - 0s
0 0 1.14144 0 137 0.79405 1.14144 43.7% - 0s
0 0 1.14138 0 137 0.79405 1.14138 43.7% - 0s
0 0 1.14138 0 126 0.79405 1.14138 43.7% - 0s
0 2 1.14138 0 126 0.79405 1.14138 43.7% - 0s
758 515 0.99814 19 166 0.79405 1.05902 33.4% 10.8 5s
1238 622 0.95406 28 135 0.79405 1.03387 30.2% 18.1 10s
3074 1049 0.94168 38 120 0.79405 0.95027 19.7% 17.3 15s
4607 1630 0.82051 58 80 0.79405 0.93602 17.9% 18.1 20s
6320 1981 0.87507 40 131 0.79405 0.91486 15.2% 17.5 25s
7587 2142 0.84450 52 81 0.79405 0.89547 12.8% 17.6 30s
9388 2137 cutoff 51 0.79405 0.87135 9.73% 17.5 35s
11232 2038 infeasible 57 0.79405 0.85691 7.92% 17.0 40s
12701 2150 infeasible 49 0.79405 0.84319 6.19% 16.5 45s
14340 2146 infeasible 53 0.79405 0.83422 5.06% 16.2 50s
15896 2102 cutoff 67 0.79405 0.82853 4.34% 15.8 55s
17807 2209 0.80201 58 111 0.79405 0.82134 3.44% 15.3 60s
19890 2135 0.81036 74 42 0.79405 0.81639 2.81% 15.0 65s
22058 1405 infeasible 53 0.79405 0.80861 1.83% 14.8 70s
Cutting planes:
Learned: 1
Gomory: 110
Cover: 6
Implied bound: 30
Projected implied bound: 28
Clique: 2
MIR: 48
Flow cover: 119
Flow path: 1
Inf proof: 176
Explored 23650 nodes (349485 simplex iterations) in 73.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.794054
Optimal solution found (tolerance 1.00e-02)
Best objective 7.940541280145e-01, best bound 8.016613162005e-01, gap 0.9580%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyz_cl_vk.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjb94jgq2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.781064
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.179241e+00, 1317 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17924 0 101 0.78106 1.17924 51.0% - 0s
0 0 1.13062 0 123 0.78106 1.13062 44.8% - 0s
0 0 1.13056 0 121 0.78106 1.13056 44.7% - 0s
0 0 1.12629 0 127 0.78106 1.12629 44.2% - 0s
0 0 1.12625 0 126 0.78106 1.12625 44.2% - 0s
0 0 1.12522 0 132 0.78106 1.12522 44.1% - 0s
0 0 1.12464 0 134 0.78106 1.12464 44.0% - 0s
0 0 1.12395 0 134 0.78106 1.12395 43.9% - 0s
0 0 1.12393 0 136 0.78106 1.12393 43.9% - 0s
0 0 1.12339 0 139 0.78106 1.12339 43.8% - 0s
0 0 1.12333 0 139 0.78106 1.12333 43.8% - 0s
0 0 1.12333 0 139 0.78106 1.12333 43.8% - 0s
0 0 1.12333 0 124 0.78106 1.12333 43.8% - 0s
0 2 1.12333 0 124 0.78106 1.12333 43.8% - 0s
779 510 1.02921 19 151 0.78106 1.02921 31.8% 10.4 5s
1235 618 0.93074 25 142 0.78106 1.00762 29.0% 19.1 10s
2559 604 infeasible 43 0.78106 0.94993 21.6% 20.0 15s
H 3226 745 0.7810642 0.92962 19.0% 19.4 19s
3352 721 infeasible 38 0.78106 0.92435 18.3% 19.3 20s
5851 1337 0.86900 56 111 0.78106 0.88266 13.0% 16.1 25s
7729 1681 0.86579 51 81 0.78106 0.87005 11.4% 15.7 30s
9835 2077 cutoff 67 0.78106 0.85969 10.1% 16.0 35s
12175 2501 0.79988 49 109 0.78106 0.85156 9.03% 15.9 40s
14251 2787 cutoff 52 0.78106 0.84021 7.57% 15.6 45s
15908 2770 0.80050 73 84 0.78106 0.82860 6.09% 15.8 50s
17983 2655 infeasible 61 0.78106 0.81672 4.56% 15.8 55s
20008 2536 cutoff 65 0.78106 0.80766 3.40% 15.6 60s
21877 2349 0.80215 81 49 0.78106 0.80278 2.78% 15.5 65s
24122 1911 infeasible 62 0.78106 0.79687 2.02% 15.5 70s
26279 904 cutoff 60 0.78106 0.78997 1.14% 15.5 75s
Cutting planes:
Gomory: 81
Cover: 2
Implied bound: 46
Projected implied bound: 35
Clique: 5
MIR: 28
StrongCG: 1
Flow cover: 146
Flow path: 4
Inf proof: 302
Network: 1
Explored 26488 nodes (413747 simplex iterations) in 75.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.781064 0.781064
Optimal solution found (tolerance 1.00e-02)
Best objective 7.810642263705e-01, best bound 7.884175466129e-01, gap 0.9414%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkqati8qd.pyomo.lp
Reading time = 0.02 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphlr407kt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.774711
Presolve removed 728 rows and 453 columns
Presolve time: 0.06s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.170868e+00, 1479 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17087 0 106 0.77471 1.17087 51.1% - 0s
0 0 1.12343 0 122 0.77471 1.12343 45.0% - 0s
0 0 1.12337 0 125 0.77471 1.12337 45.0% - 0s
0 0 1.11933 0 131 0.77471 1.11933 44.5% - 0s
0 0 1.11928 0 130 0.77471 1.11928 44.5% - 0s
0 0 1.11906 0 133 0.77471 1.11906 44.4% - 0s
0 0 1.11792 0 134 0.77471 1.11792 44.3% - 0s
0 0 1.11707 0 134 0.77471 1.11707 44.2% - 0s
0 0 1.11690 0 134 0.77471 1.11690 44.2% - 0s
0 0 1.11684 0 138 0.77471 1.11684 44.2% - 0s
0 0 1.11628 0 138 0.77471 1.11628 44.1% - 0s
0 0 1.11548 0 144 0.77471 1.11548 44.0% - 0s
0 0 1.11548 0 144 0.77471 1.11548 44.0% - 0s
0 0 1.11546 0 144 0.77471 1.11546 44.0% - 0s
0 0 1.11545 0 146 0.77471 1.11545 44.0% - 0s
0 0 1.11543 0 146 0.77471 1.11543 44.0% - 0s
0 0 1.11543 0 129 0.77471 1.11543 44.0% - 0s
0 2 1.11543 0 129 0.77471 1.11543 44.0% - 0s
766 448 1.02577 17 145 0.77471 1.05435 36.1% 11.8 5s
1439 594 0.91485 34 141 0.77471 0.99209 28.1% 16.7 10s
H 2721 475 0.7752342 0.92556 19.4% 16.5 13s
3155 398 0.85176 53 114 0.77523 0.90489 16.7% 15.7 15s
H 4474 757 0.7752342 0.87095 12.3% 14.7 18s
5409 1019 0.81385 64 101 0.77523 0.86285 11.3% 14.0 20s
8192 1822 0.79305 73 105 0.77523 0.84011 8.37% 13.0 25s
H 9504 2299 0.7757546 0.83770 7.98% 12.5 28s
10405 2444 0.81375 73 71 0.77575 0.83479 7.61% 12.6 30s
12739 3092 0.80842 63 101 0.77575 0.82904 6.87% 12.2 35s
15490 3676 cutoff 81 0.77575 0.82458 6.29% 12.3 40s
*17608 3836 120 0.7762739 0.82077 5.73% 12.5 44s
17847 3876 infeasible 69 0.77627 0.82015 5.65% 12.6 45s
20007 3838 0.80942 82 77 0.77627 0.81236 4.65% 12.8 50s
21848 3561 0.77831 86 79 0.77627 0.80617 3.85% 13.1 55s
H22444 3482 0.7762739 0.80448 3.63% 13.2 58s
22602 3338 infeasible 69 0.77627 0.80368 3.53% 13.3 60s
24524 2739 0.79358 77 63 0.77627 0.79885 2.91% 13.6 65s
26854 1796 cutoff 87 0.77627 0.79246 2.09% 13.7 70s
28780 670 cutoff 66 0.77627 0.78418 1.02% 13.8 75s
Cutting planes:
Learned: 1
Gomory: 66
Cover: 5
Implied bound: 29
Projected implied bound: 25
MIR: 31
Flow cover: 99
Flow path: 3
Inf proof: 279
Explored 28902 nodes (400026 simplex iterations) in 75.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.776274 0.776274 0.775755 ... 0.774711
Optimal solution found (tolerance 1.00e-02)
Best objective 7.762739124200e-01, best bound 7.831886037310e-01, gap 0.8908%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjff1umy_.pyomo.lp
Reading time = 0.02 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplbbh2s7r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.768181
Presolve removed 741 rows and 461 columns
Presolve time: 0.07s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.155148e+00, 1524 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15515 0 111 0.76818 1.15515 50.4% - 0s
0 0 1.10888 0 133 0.76818 1.10888 44.4% - 0s
0 0 1.10883 0 133 0.76818 1.10883 44.3% - 0s
0 0 1.10508 0 134 0.76818 1.10508 43.9% - 0s
0 0 1.10506 0 135 0.76818 1.10506 43.9% - 0s
0 0 1.10180 0 139 0.76818 1.10180 43.4% - 0s
0 0 1.10018 0 138 0.76818 1.10018 43.2% - 0s
0 0 1.09884 0 143 0.76818 1.09884 43.0% - 0s
0 0 1.09880 0 144 0.76818 1.09880 43.0% - 0s
0 0 1.09802 0 147 0.76818 1.09802 42.9% - 0s
0 0 1.09800 0 147 0.76818 1.09800 42.9% - 0s
0 0 1.09767 0 149 0.76818 1.09767 42.9% - 0s
0 0 1.09747 0 149 0.76818 1.09747 42.9% - 0s
0 0 1.09743 0 150 0.76818 1.09743 42.9% - 0s
0 0 1.09743 0 152 0.76818 1.09743 42.9% - 0s
0 0 1.09743 0 152 0.76818 1.09743 42.9% - 0s
0 0 1.09743 0 139 0.76818 1.09743 42.9% - 0s
0 2 1.09743 0 139 0.76818 1.09743 42.9% - 0s
765 611 0.92558 39 161 0.76818 1.02995 34.1% 8.9 5s
1927 854 0.78893 72 97 0.76818 0.97940 27.5% 14.4 10s
4054 1601 0.85815 39 113 0.76818 0.91209 18.7% 13.9 16s
5489 1633 infeasible 33 0.76818 0.87523 13.9% 13.4 20s
8407 2874 cutoff 54 0.76818 0.86502 12.6% 12.5 25s
H10023 3266 0.7681810 0.86019 12.0% 12.5 29s
10025 3228 0.85727 66 104 0.76818 0.86012 12.0% 12.5 30s
12251 3583 0.78408 62 113 0.76818 0.85398 11.2% 12.6 35s
15359 4455 0.82604 81 78 0.76818 0.84869 10.5% 12.2 40s
18011 4973 0.82140 65 82 0.76818 0.84341 9.79% 12.4 45s
20064 5145 cutoff 54 0.76818 0.83893 9.21% 12.9 50s
20563 5246 0.82484 75 139 0.76818 0.83827 9.12% 13.0 72s
20572 5252 0.82525 66 208 0.76818 0.83827 9.12% 13.0 75s
20580 5257 0.81547 58 216 0.76818 0.83827 9.12% 13.0 80s
20586 5261 0.79088 56 233 0.76818 0.83827 9.12% 13.0 85s
20589 5263 0.77716 74 231 0.76818 0.83827 9.12% 13.0 90s
20593 5266 0.78285 86 238 0.76818 0.83827 9.12% 13.0 95s
20599 5270 0.83267 63 233 0.76818 0.83827 9.12% 12.9 100s
20603 5273 0.80338 58 243 0.76818 0.83827 9.12% 12.9 105s
20608 5276 0.80983 63 243 0.76818 0.83827 9.12% 12.9 110s
20613 5279 0.82499 59 244 0.76818 0.83827 9.12% 12.9 116s
20617 5282 0.83564 67 243 0.76818 0.83827 9.12% 12.9 120s
20621 5285 0.77369 105 248 0.76818 0.83827 9.12% 12.9 126s
20624 5287 0.83683 62 251 0.76818 0.83827 9.12% 12.9 130s
20628 5289 0.79713 82 248 0.76818 0.83827 9.12% 12.9 135s
20631 5291 0.78136 78 259 0.76818 0.83827 9.12% 12.9 141s
20634 5293 0.83725 69 257 0.76818 0.83827 9.12% 12.9 145s
20639 5297 0.78109 87 261 0.76818 0.83827 9.12% 12.9 150s
20643 5299 0.81638 71 247 0.76818 0.83827 9.12% 12.9 155s
20646 5301 0.77714 42 255 0.76818 0.83827 9.12% 12.9 160s
20650 5304 0.77412 115 268 0.76818 0.83827 9.12% 12.9 166s
20653 5306 0.80158 82 250 0.76818 0.83827 9.12% 12.9 171s
20656 5308 0.80878 73 273 0.76818 0.83827 9.12% 12.9 175s
20659 5310 0.78770 33 265 0.76818 0.83827 9.12% 12.9 180s
20662 5312 0.79107 71 268 0.76818 0.83827 9.12% 12.9 185s
20665 5314 0.78008 98 263 0.76818 0.83827 9.12% 12.9 191s
20669 5317 0.80660 56 263 0.76818 0.83827 9.12% 12.9 195s
20674 5320 0.78258 74 269 0.76818 0.83827 9.12% 12.9 200s
20677 5322 0.78694 78 268 0.76818 0.83827 9.12% 12.9 206s
20680 5324 0.81547 58 271 0.76818 0.83827 9.12% 12.9 210s
20684 5327 0.77642 98 277 0.76818 0.83827 9.12% 12.9 215s
H20686 5059 0.7681810 0.83827 9.12% 12.9 223s
20689 5061 0.77716 74 266 0.76818 0.83827 9.12% 12.9 228s
20691 5062 0.82819 65 264 0.76818 0.83827 9.12% 12.9 231s
20694 5064 0.83066 80 270 0.76818 0.83827 9.12% 12.9 235s
20697 5066 0.81570 50 267 0.76818 0.83827 9.12% 12.9 240s
20701 5069 0.77362 116 275 0.76818 0.83827 9.12% 12.9 249s
20702 5070 0.82213 55 283 0.76818 0.83827 9.12% 12.9 250s
20706 5072 0.79925 65 283 0.76818 0.83827 9.12% 12.9 255s
20710 5075 0.78272 95 283 0.76818 0.83827 9.12% 12.9 260s
20713 5077 0.82499 59 267 0.76818 0.83827 9.12% 12.9 265s
20717 5080 0.83564 67 274 0.76818 0.83827 9.12% 12.9 270s
20720 5082 0.83425 38 274 0.76818 0.83827 9.12% 12.9 276s
20723 5084 0.82660 63 276 0.76818 0.83827 9.12% 12.9 280s
20727 5086 0.78220 68 282 0.76818 0.83827 9.12% 12.9 286s
20731 5089 0.78136 78 285 0.76818 0.83827 9.12% 12.9 292s
20733 5090 0.78142 82 272 0.76818 0.83827 9.12% 12.9 296s
20736 5092 0.82621 58 288 0.76818 0.83827 9.12% 12.9 300s
20740 5095 0.78617 72 283 0.76818 0.83827 9.12% 12.9 306s
20743 5097 0.81638 71 279 0.76818 0.83827 9.12% 12.9 310s
20748 5100 0.79343 89 280 0.76818 0.83827 9.12% 12.9 315s
20753 5104 0.80158 82 265 0.76818 0.83827 9.12% 12.9 322s
20756 5106 0.80878 73 278 0.76818 0.83827 9.12% 12.8 326s
20759 5108 0.78770 33 266 0.76818 0.83827 9.12% 12.8 330s
20762 5110 0.79107 71 263 0.76818 0.83827 9.12% 12.8 336s
20766 5112 0.77571 140 274 0.76818 0.83827 9.12% 12.8 340s
20770 5115 0.82001 71 268 0.76818 0.83827 9.12% 12.8 347s
20774 5118 0.78258 74 279 0.76818 0.83827 9.12% 12.8 350s
20780 5122 0.81547 58 265 0.76818 0.83827 9.12% 12.8 356s
20782 5123 0.83122 78 262 0.76818 0.83827 9.12% 12.8 360s
20784 5124 cutoff 29 0.76818 0.83827 9.12% 15.5 370s
20786 5124 0.83827 30 251 0.76818 0.83827 9.12% 15.5 378s
20788 5124 0.83827 32 245 0.76818 0.83827 9.12% 15.5 387s
20800 5133 0.80970 35 189 0.76818 0.83827 9.12% 15.6 390s
20902 5133 0.78060 49 196 0.76818 0.83827 9.12% 16.1 395s
21084 5123 0.78328 43 202 0.76818 0.83827 9.12% 17.0 400s
21157 5124 0.81024 42 220 0.76818 0.83827 9.12% 17.6 405s
21260 5112 cutoff 58 0.76818 0.83827 9.12% 18.8 410s
21441 5087 cutoff 56 0.76818 0.83384 8.55% 19.9 415s
21547 5068 0.78032 51 180 0.76818 0.83135 8.22% 20.9 420s
21794 5085 0.82397 46 221 0.76818 0.82653 7.60% 22.0 426s
22039 5070 0.81430 45 201 0.76818 0.82451 7.33% 23.2 431s
22265 5043 0.78305 63 150 0.76818 0.82250 7.07% 24.3 435s
22558 5054 cutoff 51 0.76818 0.81868 6.57% 25.6 441s
22742 5013 0.78583 55 176 0.76818 0.81799 6.48% 26.6 445s
23023 5014 0.78401 57 167 0.76818 0.81587 6.21% 27.5 453s
23027 5007 infeasible 58 0.76818 0.81550 6.16% 27.6 455s
23284 4994 cutoff 63 0.76818 0.81427 6.00% 28.5 461s
23482 4963 0.78195 68 183 0.76818 0.81209 5.72% 29.6 466s
23782 4958 0.80111 53 173 0.76818 0.81048 5.51% 30.6 472s
23974 4961 infeasible 68 0.76818 0.80986 5.43% 31.2 475s
24328 4923 0.78416 57 164 0.76818 0.80816 5.20% 32.4 481s
24545 4937 0.79713 48 210 0.76818 0.80726 5.09% 33.1 485s
24968 4902 0.79386 56 141 0.76818 0.80424 4.69% 34.3 492s
25089 4863 infeasible 69 0.76818 0.80352 4.60% 34.6 495s
25549 4853 0.78258 71 149 0.76818 0.80111 4.29% 35.9 503s
25879 4867 0.78608 59 127 0.76818 0.79969 4.10% 36.4 508s
25939 4834 infeasible 58 0.76818 0.79952 4.08% 36.5 512s
26277 4818 cutoff 55 0.76818 0.79861 3.96% 37.1 516s
26533 4735 cutoff 56 0.76818 0.79762 3.83% 37.8 521s
26903 4623 0.79516 54 184 0.76818 0.79580 3.60% 38.5 527s
27266 4550 cutoff 65 0.76818 0.79503 3.50% 39.3 532s
27638 4483 0.79043 73 153 0.76818 0.79341 3.28% 39.6 536s
28051 4378 0.79077 58 135 0.76818 0.79250 3.17% 40.1 541s
28457 4286 cutoff 57 0.76818 0.79113 2.99% 40.6 545s
29204 4028 cutoff 65 0.76818 0.78912 2.73% 41.2 552s
29552 3890 infeasible 59 0.76818 0.78824 2.61% 41.5 556s
30251 3644 infeasible 68 0.76818 0.78633 2.36% 41.9 563s
30535 3502 infeasible 69 0.76818 0.78560 2.27% 42.2 568s
30857 3381 infeasible 69 0.76818 0.78460 2.14% 42.5 572s
31322 3114 cutoff 64 0.76818 0.78295 1.92% 42.8 575s
32011 2697 0.77368 74 98 0.76818 0.78067 1.63% 43.1 582s
32447 2435 cutoff 64 0.76818 0.77929 1.45% 43.3 586s
33025 2025 cutoff 60 0.76818 0.77740 1.20% 43.4 590s
33359 1818 0.77429 70 105 0.76818 0.77625 1.05% 43.6 599s
33440 1736 0.77186 66 90 0.76818 0.77607 1.03% 43.6 600s
Cutting planes:
Learned: 4
Gomory: 233
Cover: 17
Implied bound: 23
Projected implied bound: 58
Clique: 15
MIR: 245
StrongCG: 3
Flow cover: 623
Flow path: 1
Inf proof: 129
Explored 33582 nodes (1464911 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.768181 0.768181 0.768181
Time limit reached
Best objective 7.681810172285e-01, best bound 7.757778678864e-01, gap 0.9889%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfuq3r6ms.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_ef5e18m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.755172
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.135266e+00, 1559 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13527 0 108 0.75517 1.13527 50.3% - 0s
0 0 1.09067 0 126 0.75517 1.09067 44.4% - 0s
0 0 1.09051 0 126 0.75517 1.09051 44.4% - 0s
0 0 1.08728 0 133 0.75517 1.08728 44.0% - 0s
0 0 1.08657 0 130 0.75517 1.08657 43.9% - 0s
0 0 1.08612 0 135 0.75517 1.08612 43.8% - 0s
0 0 1.08515 0 140 0.75517 1.08515 43.7% - 0s
0 0 1.08508 0 138 0.75517 1.08508 43.7% - 0s
0 0 1.08508 0 139 0.75517 1.08508 43.7% - 0s
0 0 1.08507 0 139 0.75517 1.08507 43.7% - 0s
0 0 1.08505 0 139 0.75517 1.08505 43.7% - 0s
0 0 1.08505 0 130 0.75517 1.08505 43.7% - 0s
0 2 1.08505 0 130 0.75517 1.08505 43.7% - 0s
759 518 0.82746 75 144 0.75517 1.00902 33.6% 12.3 5s
1196 546 0.89538 22 149 0.75517 0.97977 29.7% 20.9 10s
3137 965 0.85729 45 127 0.75517 0.90462 19.8% 17.1 15s
5580 1710 0.76827 44 111 0.75517 0.86561 14.6% 15.1 20s
7523 2389 0.81612 52 129 0.75517 0.84637 12.1% 14.2 25s
10198 2998 0.82110 75 101 0.75517 0.83559 10.6% 13.4 30s
13227 3824 0.79376 72 92 0.75517 0.82332 9.02% 13.0 36s
14754 4057 0.76551 69 119 0.75517 0.81839 8.37% 13.1 40s
16675 4349 infeasible 51 0.75517 0.81385 7.77% 13.3 45s
18795 4706 0.77925 73 97 0.75517 0.80784 6.97% 13.5 50s
20905 4879 infeasible 74 0.75517 0.80325 6.37% 13.8 73s
21860 4924 infeasible 45 0.75517 0.80091 6.06% 14.0 75s
23753 5091 infeasible 68 0.75517 0.79715 5.56% 14.8 80s
25386 5245 0.78555 71 89 0.75517 0.79462 5.22% 15.2 85s
27399 5360 infeasible 38 0.75517 0.79121 4.77% 15.7 90s
28782 5224 infeasible 73 0.75517 0.78883 4.46% 16.2 95s
30263 5077 infeasible 87 0.75517 0.78624 4.11% 16.7 100s
32094 4922 infeasible 84 0.75517 0.78328 3.72% 17.1 106s
33315 4777 0.77934 77 84 0.75517 0.78156 3.49% 17.4 110s
35341 4643 infeasible 82 0.75517 0.77885 3.14% 17.8 115s
37025 4331 0.75770 109 44 0.75517 0.77665 2.84% 18.1 120s
38415 3937 infeasible 82 0.75517 0.77443 2.55% 18.4 125s
40257 3379 cutoff 76 0.75517 0.77180 2.20% 18.7 130s
42068 2718 cutoff 74 0.75517 0.76893 1.82% 19.0 135s
43766 1917 0.76276 83 56 0.75517 0.76544 1.36% 19.2 140s
Cutting planes:
Learned: 2
Gomory: 118
Cover: 1
Implied bound: 40
Projected implied bound: 34
Clique: 3
MIR: 48
Flow cover: 147
Flow path: 4
Inf proof: 362
Explored 45097 nodes (870627 simplex iterations) in 143.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.755172
Optimal solution found (tolerance 1.00e-02)
Best objective 7.551723913101e-01, best bound 7.626024470454e-01, gap 0.9839%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzpuu1wp8.pyomo.lp
Reading time = 0.02 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph1lmdf4m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.747163
Presolve removed 767 rows and 477 columns
Presolve time: 0.06s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.139818e+00, 1567 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13982 0 112 0.74716 1.13982 52.6% - 0s
0 0 1.09620 0 134 0.74716 1.09620 46.7% - 0s
0 0 1.09604 0 135 0.74716 1.09604 46.7% - 0s
0 0 1.09279 0 141 0.74716 1.09279 46.3% - 0s
0 0 1.09269 0 138 0.74716 1.09269 46.2% - 0s
0 0 1.08934 0 150 0.74716 1.08934 45.8% - 0s
0 0 1.08716 0 150 0.74716 1.08716 45.5% - 0s
0 0 1.08617 0 151 0.74716 1.08617 45.4% - 0s
0 0 1.08285 0 150 0.74716 1.08285 44.9% - 0s
0 0 1.08176 0 151 0.74716 1.08176 44.8% - 0s
0 0 1.08175 0 151 0.74716 1.08175 44.8% - 0s
0 0 1.08136 0 151 0.74716 1.08136 44.7% - 0s
0 0 1.08136 0 151 0.74716 1.08136 44.7% - 0s
0 0 1.08136 0 135 0.74716 1.08136 44.7% - 0s
0 2 1.08136 0 135 0.74716 1.08136 44.7% - 0s
747 604 0.82896 86 152 0.74716 1.00261 34.2% 10.4 5s
935 685 0.86194 66 133 0.74716 0.98782 32.2% 18.6 10s
2768 1279 0.91984 29 156 0.74716 0.93612 25.3% 16.4 15s
4615 2227 0.82300 49 141 0.74716 0.90638 21.3% 15.7 20s
H 5206 2532 0.7471630 0.90328 20.9% 15.4 22s
6293 2893 0.84454 39 140 0.74716 0.89102 19.3% 14.6 25s
9724 4273 0.84589 39 141 0.74716 0.86869 16.3% 12.8 30s
12482 5036 0.81134 42 138 0.74716 0.85609 14.6% 12.2 35s
15364 5742 infeasible 64 0.74716 0.84893 13.6% 12.1 40s
18063 6109 infeasible 49 0.74716 0.84141 12.6% 11.8 46s
20075 6267 infeasible 63 0.74716 0.83633 11.9% 11.5 50s
20920 6391 0.81929 67 135 0.74716 0.83453 11.7% 11.5 74s
20923 6393 0.75274 65 135 0.74716 0.83453 11.7% 11.5 75s
20934 6400 0.81550 81 231 0.74716 0.83453 11.7% 11.5 80s
20937 6402 0.76363 77 224 0.74716 0.83453 11.7% 11.5 86s
20942 6406 0.79415 66 238 0.74716 0.83453 11.7% 11.5 90s
20946 6408 0.78988 91 246 0.74716 0.83453 11.7% 11.5 95s
20950 6411 0.79346 77 242 0.74716 0.83453 11.7% 11.5 100s
20953 6413 0.79717 87 245 0.74716 0.83453 11.7% 11.5 106s
20957 6416 0.77895 109 239 0.74716 0.83453 11.7% 11.5 111s
20961 6418 0.77732 72 259 0.74716 0.83453 11.7% 11.5 115s
20966 6422 0.79944 67 258 0.74716 0.83453 11.7% 11.5 120s
20971 6425 0.82874 62 261 0.74716 0.83453 11.7% 11.5 126s
20975 6428 0.82625 49 261 0.74716 0.83453 11.7% 11.5 131s
20978 6430 0.82593 46 268 0.74716 0.83453 11.7% 11.5 135s
20982 6432 0.82002 52 263 0.74716 0.83453 11.7% 11.4 140s
20985 6434 0.75176 61 257 0.74716 0.83453 11.7% 11.4 145s
20990 6438 0.76966 109 274 0.74716 0.83453 11.7% 11.4 151s
20993 6440 0.81470 56 271 0.74716 0.83453 11.7% 11.4 155s
20997 6442 0.77040 76 300 0.74716 0.83453 11.7% 11.4 160s
21000 6444 0.81460 47 287 0.74716 0.83453 11.7% 11.4 165s
21005 6448 0.82120 43 273 0.74716 0.83453 11.7% 11.4 171s
21008 6450 0.83387 57 266 0.74716 0.83453 11.7% 11.4 176s
21011 6452 0.82306 56 282 0.74716 0.83453 11.7% 11.4 180s
21015 6454 0.82290 50 279 0.74716 0.83453 11.7% 11.4 185s
21019 6457 0.79086 87 287 0.74716 0.83453 11.7% 11.4 190s
21023 6460 0.75274 65 282 0.74716 0.83453 11.7% 11.4 196s
21026 6462 0.80500 87 287 0.74716 0.83453 11.7% 11.4 200s
21031 6465 0.78727 88 311 0.74716 0.83453 11.7% 11.4 205s
21035 6468 0.80524 44 319 0.74716 0.83453 11.7% 11.4 210s
21039 6470 0.78140 80 310 0.74716 0.83453 11.7% 11.4 215s
21043 6473 0.78926 63 313 0.74716 0.83453 11.7% 11.4 220s
21047 6476 0.81391 56 319 0.74716 0.83453 11.7% 11.4 225s
H21047 6150 0.7471630 0.83453 11.7% 11.4 227s
21050 6152 0.79346 77 312 0.74716 0.83453 11.7% 11.4 230s
21054 6154 0.80179 53 311 0.74716 0.83453 11.7% 11.4 237s
21056 6156 0.83051 58 316 0.74716 0.83453 11.7% 11.4 240s
21060 6158 0.80972 67 320 0.74716 0.83453 11.7% 11.4 245s
21064 6161 0.83073 73 327 0.74716 0.83453 11.7% 11.4 251s
21067 6163 0.82670 60 326 0.74716 0.83453 11.7% 11.4 255s
21070 6165 0.83179 52 326 0.74716 0.83453 11.7% 11.4 260s
21074 6168 0.76543 114 332 0.74716 0.83453 11.7% 11.4 266s
21077 6170 0.76347 86 341 0.74716 0.83453 11.7% 11.4 270s
21080 6172 0.76348 89 316 0.74716 0.83453 11.7% 11.4 275s
21085 6175 0.75176 61 323 0.74716 0.83453 11.7% 11.4 281s
21088 6177 0.77930 98 314 0.74716 0.83453 11.7% 11.4 286s
21090 6178 0.76966 109 305 0.74716 0.83453 11.7% 11.4 290s
21094 6181 0.81907 44 316 0.74716 0.83453 11.7% 11.4 296s
21097 6183 0.77040 76 311 0.74716 0.83453 11.7% 11.4 300s
21102 6186 0.77031 71 325 0.74716 0.83453 11.7% 11.4 306s
21104 6188 0.80611 50 312 0.74716 0.83453 11.7% 11.4 310s
21108 6190 0.83387 57 311 0.74716 0.83453 11.7% 11.4 316s
21110 6192 0.80592 52 309 0.74716 0.83453 11.7% 11.4 322s
21112 6193 0.82147 47 314 0.74716 0.83453 11.7% 11.4 325s
21117 6196 0.80467 55 311 0.74716 0.83453 11.7% 11.4 330s
21120 6198 0.81929 67 309 0.74716 0.83453 11.7% 11.4 336s
21124 6201 0.76324 88 315 0.74716 0.83453 11.7% 11.4 340s
21128 6204 0.82274 60 310 0.74716 0.83453 11.7% 11.4 345s
21132 6206 0.75994 126 323 0.74716 0.83453 11.7% 11.4 352s
21134 6209 0.83453 25 274 0.74716 0.83453 11.7% 13.9 364s
21136 6208 0.83453 26 296 0.74716 0.83453 11.7% 14.0 375s
21162 6211 infeasible 33 0.74716 0.83453 11.7% 14.2 382s
21302 6215 0.78143 40 216 0.74716 0.83453 11.7% 14.5 385s
21520 6202 0.82995 36 241 0.74716 0.83453 11.7% 15.3 390s
21591 6190 0.81707 43 238 0.74716 0.83453 11.7% 15.7 397s
21646 6187 0.75522 62 182 0.74716 0.83453 11.7% 16.4 400s
21858 6189 0.82158 47 236 0.74716 0.83453 11.7% 17.4 405s
22030 6185 0.83392 41 243 0.74716 0.83453 11.7% 17.8 410s
22254 6208 0.79263 49 226 0.74716 0.83453 11.7% 18.7 416s
22542 6252 0.77988 59 173 0.74716 0.83356 11.6% 19.3 421s
22717 6273 0.83312 46 229 0.74716 0.83315 11.5% 20.1 426s
22934 6279 0.78611 53 223 0.74716 0.83266 11.4% 21.0 430s
23227 6321 0.81335 48 207 0.74716 0.83182 11.3% 21.8 437s
23484 6323 0.82615 48 224 0.74716 0.83029 11.1% 22.3 441s
23912 6345 cutoff 44 0.74716 0.82611 10.6% 23.1 447s
24142 6355 0.80509 57 202 0.74716 0.82297 10.1% 23.7 451s
24482 6424 0.79254 60 208 0.74716 0.82183 10.0% 24.2 456s
24696 6477 infeasible 51 0.74716 0.82161 10.0% 24.4 460s
25075 6552 0.76531 66 168 0.74716 0.82107 9.89% 24.9 466s
25394 6585 0.80940 52 197 0.74716 0.81975 9.71% 25.4 472s
25696 6650 0.81498 53 188 0.74716 0.81933 9.66% 25.6 475s
26172 6721 0.79587 54 210 0.74716 0.81848 9.54% 26.2 484s
26305 6748 0.77089 75 139 0.74716 0.81820 9.51% 26.4 488s
26581 6772 0.75376 74 118 0.74716 0.81791 9.47% 26.7 491s
26837 6812 0.76337 54 176 0.74716 0.81712 9.36% 27.1 496s
27163 6827 0.80551 55 189 0.74716 0.81647 9.28% 27.4 500s
27869 6884 infeasible 46 0.74716 0.81517 9.10% 28.0 508s
28114 6862 0.76777 65 172 0.74716 0.81395 8.94% 28.5 511s
28368 6860 0.76150 60 184 0.74716 0.81332 8.85% 29.1 516s
28661 6858 0.78748 64 163 0.74716 0.81287 8.79% 29.3 520s
29044 6854 0.75011 63 157 0.74716 0.81194 8.67% 29.8 526s
29438 6829 cutoff 55 0.74716 0.81102 8.55% 30.3 531s
29822 6816 0.78509 62 150 0.74716 0.80963 8.36% 30.8 537s
30179 6784 0.78117 58 139 0.74716 0.80851 8.21% 31.3 543s
30668 6814 0.79708 57 203 0.74716 0.80760 8.09% 31.7 549s
31105 6791 cutoff 60 0.74716 0.80681 7.98% 32.2 555s
31551 6776 cutoff 68 0.74716 0.80559 7.82% 32.7 561s
31722 6728 0.79593 59 183 0.74716 0.80541 7.80% 32.9 566s
32285 6645 0.75216 57 170 0.74716 0.80357 7.55% 33.2 572s
32825 6549 0.78211 64 140 0.74716 0.80229 7.38% 33.6 578s
33332 6475 infeasible 57 0.74716 0.80086 7.19% 34.0 584s
33801 6387 cutoff 40 0.74716 0.79920 6.97% 34.4 590s
34281 6339 0.79402 63 145 0.74716 0.79780 6.78% 34.7 597s
H34335 6019 0.7471630 0.79756 6.74% 34.8 597s
34343 6019 infeasible 57 0.74716 0.79749 6.74% 34.8 600s
Cutting planes:
Learned: 4
Gomory: 193
Cover: 13
Implied bound: 55
Projected implied bound: 78
Clique: 5
MIR: 240
StrongCG: 5
Flow cover: 727
Flow path: 5
Inf proof: 97
Zero half: 1
Explored 34344 nodes (1197649 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.747163 0.747163 0.747163 0.747163
Time limit reached
Best objective 7.471629802414e-01, best bound 7.974865569010e-01, gap 6.7353%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr0ccvlio.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjr8bmd77.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.740614
Presolve removed 780 rows and 485 columns
Presolve time: 0.05s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.123745e+00, 1649 iterations, 0.08 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12374 0 117 0.74061 1.12374 51.7% - 0s
0 0 1.08038 0 140 0.74061 1.08038 45.9% - 0s
0 0 1.08033 0 141 0.74061 1.08033 45.9% - 0s
0 0 1.07731 0 148 0.74061 1.07731 45.5% - 0s
0 0 1.07715 0 148 0.74061 1.07715 45.4% - 0s
0 0 1.07432 0 150 0.74061 1.07432 45.1% - 0s
0 0 1.07323 0 152 0.74061 1.07323 44.9% - 0s
0 0 1.07245 0 152 0.74061 1.07245 44.8% - 0s
0 0 1.07229 0 153 0.74061 1.07229 44.8% - 0s
0 0 1.07188 0 155 0.74061 1.07188 44.7% - 0s
0 0 1.07188 0 159 0.74061 1.07188 44.7% - 0s
0 0 1.07181 0 159 0.74061 1.07181 44.7% - 0s
0 0 1.07151 0 161 0.74061 1.07151 44.7% - 0s
0 0 1.07134 0 161 0.74061 1.07134 44.7% - 0s
0 0 1.07130 0 161 0.74061 1.07130 44.7% - 0s
0 0 1.07126 0 162 0.74061 1.07126 44.6% - 0s
0 0 1.07126 0 162 0.74061 1.07126 44.6% - 0s
0 0 1.07126 0 142 0.74061 1.07126 44.6% - 0s
0 2 1.07126 0 142 0.74061 1.07126 44.6% - 0s
765 573 0.84781 74 152 0.74061 0.99940 34.9% 10.9 5s
1302 701 0.79963 31 169 0.74061 0.96446 30.2% 17.8 10s
2441 753 0.84537 43 142 0.74061 0.93230 25.9% 20.9 15s
3959 1315 0.88672 42 146 0.74061 0.90134 21.7% 19.2 20s
5783 1821 0.82939 49 131 0.74061 0.88334 19.3% 18.5 25s
7994 2334 0.83667 54 130 0.74061 0.86232 16.4% 17.3 30s
9931 2862 infeasible 73 0.74061 0.84867 14.6% 16.2 35s
12538 3383 0.83625 53 110 0.74061 0.83671 13.0% 15.2 40s
13647 3591 0.76253 98 74 0.74061 0.83110 12.2% 14.9 45s
15512 3637 0.79777 56 111 0.74061 0.82004 10.7% 14.9 50s
17466 3715 0.75080 74 102 0.74061 0.81009 9.38% 14.7 55s
19316 3652 infeasible 60 0.74061 0.80171 8.25% 14.7 60s
20605 3520 infeasible 66 0.74061 0.79537 7.39% 14.7 65s
22240 3303 infeasible 73 0.74061 0.78683 6.24% 14.8 70s
24106 3253 0.77464 62 142 0.74061 0.77828 5.09% 14.8 97s
24116 3260 0.76143 84 228 0.74061 0.77828 5.09% 14.8 100s
24123 3264 0.75999 91 239 0.74061 0.77828 5.09% 14.8 106s
24125 3266 0.76368 52 235 0.74061 0.77828 5.09% 14.8 110s
24130 3269 0.77452 61 240 0.74061 0.77828 5.09% 14.8 115s
24135 3272 0.75752 65 245 0.74061 0.77828 5.09% 14.8 121s
24138 3274 0.74461 78 255 0.74061 0.77828 5.09% 14.8 125s
24142 3277 0.77763 70 258 0.74061 0.77828 5.09% 14.8 130s
24145 3279 0.75584 103 259 0.74061 0.77828 5.09% 14.8 135s
24149 3282 0.74783 69 275 0.74061 0.77828 5.09% 14.8 140s
24153 3284 0.75940 73 274 0.74061 0.77828 5.09% 14.8 145s
24157 3287 0.76721 65 291 0.74061 0.77828 5.09% 14.8 150s
24161 3290 0.75623 74 282 0.74061 0.77828 5.09% 14.8 155s
24165 3292 0.74565 70 288 0.74061 0.77828 5.09% 14.8 160s
24169 3295 0.74897 50 276 0.74061 0.77828 5.09% 14.8 166s
24173 3298 0.76546 85 284 0.74061 0.77828 5.09% 14.8 171s
24176 3300 0.77092 62 292 0.74061 0.77828 5.09% 14.8 175s
24182 3304 0.75176 109 292 0.74061 0.77828 5.09% 14.8 180s
24187 3307 0.76385 77 276 0.74061 0.77828 5.09% 14.8 185s
24192 3310 0.74888 98 298 0.74061 0.77828 5.09% 14.7 190s
24197 3314 0.74947 68 291 0.74061 0.77828 5.09% 14.7 196s
24200 3316 0.76540 76 301 0.74061 0.77828 5.09% 14.7 200s
24204 3318 0.76756 82 301 0.74061 0.77828 5.09% 14.7 205s
24207 3320 0.76816 66 302 0.74061 0.77828 5.09% 14.7 210s
24211 3323 0.75793 77 297 0.74061 0.77828 5.09% 14.7 215s
24215 3326 0.75873 77 287 0.74061 0.77828 5.09% 14.7 221s
24218 3328 0.75870 72 302 0.74061 0.77828 5.09% 14.7 226s
24221 3330 0.75700 86 295 0.74061 0.77828 5.09% 14.7 230s
24224 3332 0.77203 76 302 0.74061 0.77828 5.09% 14.7 235s
24228 3334 0.76615 73 293 0.74061 0.77828 5.09% 14.7 242s
H24229 3166 0.7406145 0.77828 5.09% 14.7 245s
24235 3170 0.75752 65 285 0.74061 0.77828 5.09% 14.7 250s
24240 3173 0.76721 65 282 0.74061 0.77828 5.09% 14.7 257s
24243 3175 0.77097 73 286 0.74061 0.77828 5.09% 14.7 261s
24246 3177 0.75704 76 280 0.74061 0.77828 5.09% 14.7 265s
24250 3180 0.75758 86 278 0.74061 0.77828 5.09% 14.7 270s
24254 3183 0.76941 67 283 0.74061 0.77828 5.09% 14.7 275s
24258 3185 0.77702 94 281 0.74061 0.77828 5.09% 14.7 280s
24262 3188 0.75363 82 286 0.74061 0.77828 5.09% 14.7 285s
24266 3191 0.76728 64 281 0.74061 0.77828 5.09% 14.7 292s
24269 3193 0.74897 50 292 0.74061 0.77828 5.09% 14.7 295s
24272 3195 0.77308 69 273 0.74061 0.77828 5.09% 14.7 301s
24274 3196 0.75801 84 260 0.74061 0.77828 5.09% 14.7 305s
24279 3199 0.74632 73 287 0.74061 0.77828 5.09% 14.7 313s
24281 3201 0.75552 63 293 0.74061 0.77828 5.09% 14.7 316s
24285 3203 0.75436 67 287 0.74061 0.77828 5.09% 14.7 320s
24289 3206 0.76848 57 276 0.74061 0.77828 5.09% 14.7 325s
24294 3209 0.76075 73 293 0.74061 0.77828 5.09% 14.7 330s
24298 3212 0.75343 71 292 0.74061 0.77828 5.09% 14.7 335s
24301 3214 0.76352 56 293 0.74061 0.77828 5.09% 14.7 340s
24305 3217 0.74181 102 299 0.74061 0.77828 5.09% 14.7 346s
24307 3218 0.76816 66 291 0.74061 0.77828 5.09% 14.7 350s
24311 3221 0.75793 77 297 0.74061 0.77828 5.09% 14.7 355s
24315 3223 0.75873 77 297 0.74061 0.77828 5.09% 14.7 360s
24319 3226 0.75057 68 278 0.74061 0.77828 5.09% 14.7 366s
24321 3227 infeasible 21 0.74061 0.77828 5.09% 16.7 377s
24323 3228 0.77828 22 289 0.74061 0.77828 5.09% 16.8 384s
24324 3227 0.77828 23 286 0.74061 0.77828 5.09% 16.8 396s
24344 3224 cutoff 31 0.74061 0.77828 5.09% 17.1 401s
24355 3227 0.77828 33 240 0.74061 0.77828 5.09% 17.4 405s
24385 3240 0.77828 41 217 0.74061 0.77828 5.09% 17.7 411s
24460 3248 0.75951 51 210 0.74061 0.77828 5.09% 18.0 415s
24575 3239 infeasible 35 0.74061 0.77828 5.09% 18.7 423s
24593 3241 0.77828 37 255 0.74061 0.77828 5.09% 18.9 426s
24708 3253 0.77828 37 260 0.74061 0.77828 5.09% 19.5 430s
24966 3328 0.74812 38 236 0.74061 0.77828 5.09% 20.2 436s
25091 3372 infeasible 46 0.74061 0.77828 5.09% 20.7 440s
25193 3405 0.77828 52 210 0.74061 0.77828 5.09% 21.1 445s
25348 3401 0.77828 42 232 0.74061 0.77828 5.09% 21.7 450s
25437 3397 0.77828 39 239 0.74061 0.77828 5.09% 22.5 455s
25582 3413 0.77828 42 228 0.74061 0.77828 5.09% 23.3 460s
25757 3399 0.77828 42 238 0.74061 0.77828 5.09% 24.0 466s
25932 3384 cutoff 47 0.74061 0.77828 5.09% 25.1 470s
26236 3392 0.77828 45 223 0.74061 0.77828 5.09% 26.0 476s
26406 3403 0.77468 47 205 0.74061 0.77828 5.09% 26.8 481s
26553 3372 0.77828 50 219 0.74061 0.77828 5.09% 27.6 488s
26629 3375 infeasible 45 0.74061 0.77828 5.09% 28.2 492s
26720 3400 0.77828 48 219 0.74061 0.77828 5.09% 28.8 498s
26736 3402 cutoff 49 0.74061 0.77828 5.09% 28.8 500s
26910 3394 0.75233 57 185 0.74061 0.77828 5.09% 29.4 506s
27089 3384 0.74297 56 186 0.74061 0.77828 5.09% 30.4 512s
27194 3377 0.75708 54 202 0.74061 0.77828 5.09% 30.9 516s
27280 3346 0.77570 49 216 0.74061 0.77828 5.09% 31.6 520s
27653 3360 0.77828 52 208 0.74061 0.77828 5.09% 32.5 527s
27790 3364 cutoff 58 0.74061 0.77828 5.09% 33.2 531s
27943 3358 0.77460 55 176 0.74061 0.77828 5.09% 33.8 536s
28288 3378 0.75678 44 211 0.74061 0.77828 5.09% 34.9 545s
28490 3367 0.75846 63 159 0.74061 0.77828 5.09% 35.6 552s
28740 3324 0.77828 40 211 0.74061 0.77828 5.09% 36.1 558s
28989 3327 cutoff 52 0.74061 0.77828 5.09% 36.8 563s
29199 3307 0.76741 52 193 0.74061 0.77828 5.09% 37.5 569s
29308 3275 cutoff 40 0.74061 0.77828 5.09% 37.8 581s
29606 3214 0.74539 56 170 0.74061 0.77828 5.09% 38.5 587s
29917 3140 0.75849 58 155 0.74061 0.77828 5.09% 39.3 593s
30314 3107 cutoff 53 0.74061 0.77828 5.09% 39.9 600s
Cutting planes:
Learned: 3
Gomory: 241
Cover: 11
Implied bound: 29
Projected implied bound: 56
Clique: 8
MIR: 256
StrongCG: 4
Flow cover: 634
Flow path: 2
Inf proof: 49
Zero half: 2
Explored 30745 nodes (1246914 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.740614 0.740614
Time limit reached
Warning: max constraint violation (7.9832e-06) exceeds tolerance
Best objective 7.406144776636e-01, best bound 7.782824419478e-01, gap 5.0860%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfg2e7klj.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmsx8ogdo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.731197
Presolve removed 793 rows and 493 columns
Presolve time: 0.05s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.104283e+00, 1611 iterations, 0.08 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10428 0 116 0.73120 1.10428 51.0% - 0s
0 0 1.06188 0 140 0.73120 1.06188 45.2% - 0s
0 0 1.06183 0 140 0.73120 1.06183 45.2% - 0s
0 0 1.05898 0 142 0.73120 1.05898 44.8% - 0s
0 0 1.05896 0 143 0.73120 1.05896 44.8% - 0s
0 0 1.05630 0 147 0.73120 1.05630 44.5% - 0s
0 0 1.05461 0 147 0.73120 1.05461 44.2% - 0s
0 0 1.05418 0 148 0.73120 1.05418 44.2% - 0s
0 0 1.05418 0 148 0.73120 1.05418 44.2% - 0s
0 0 1.05410 0 153 0.73120 1.05410 44.2% - 0s
0 0 1.05410 0 141 0.73120 1.05410 44.2% - 0s
0 2 1.05410 0 141 0.73120 1.05410 44.2% - 0s
755 526 0.75426 45 175 0.73120 0.98123 34.2% 11.4 5s
983 544 0.93451 26 162 0.73120 0.96210 31.6% 20.3 10s
2154 686 infeasible 59 0.73120 0.91793 25.5% 20.9 15s
3341 1113 0.77094 74 109 0.73120 0.89204 22.0% 19.7 20s
5560 1693 0.76898 64 127 0.73120 0.85867 17.4% 16.9 25s
6951 2340 infeasible 50 0.73120 0.84696 15.8% 15.8 30s
8749 2850 infeasible 47 0.73120 0.83566 14.3% 14.9 35s
11071 3536 0.79683 48 123 0.73120 0.82384 12.7% 14.5 40s
12685 3620 0.77726 61 108 0.73120 0.81233 11.1% 14.1 45s
14496 3946 infeasible 63 0.73120 0.80313 9.84% 13.7 50s
17061 4744 infeasible 47 0.73120 0.79757 9.08% 13.4 55s
18578 5044 infeasible 60 0.73120 0.79434 8.64% 13.5 60s
20330 5178 infeasible 35 0.73120 0.78956 7.98% 13.7 65s
20811 5383 0.74508 80 141 0.73120 0.78868 7.86% 13.6 90s
20825 5392 0.78369 60 224 0.73120 0.78868 7.86% 13.6 95s
20830 5396 0.76893 72 240 0.73120 0.78868 7.86% 13.6 101s
20835 5399 0.78781 67 248 0.73120 0.78868 7.86% 13.6 106s
20838 5401 0.75865 60 246 0.73120 0.78868 7.86% 13.6 110s
20842 5404 0.77980 81 267 0.73120 0.78868 7.86% 13.6 115s
20848 5408 0.74104 70 273 0.73120 0.78868 7.86% 13.6 120s
20853 5411 0.74215 75 274 0.73120 0.78868 7.86% 13.6 125s
20859 5415 0.78318 57 283 0.73120 0.78868 7.86% 13.6 130s
20863 5418 0.77716 68 279 0.73120 0.78868 7.86% 13.6 135s
20868 5421 0.73745 75 285 0.73120 0.78868 7.86% 13.6 140s
20873 5424 0.74633 63 297 0.73120 0.78868 7.86% 13.6 146s
20877 5427 0.75062 74 292 0.73120 0.78868 7.86% 13.6 150s
20881 5430 0.76817 60 308 0.73120 0.78868 7.86% 13.6 155s
20885 5432 0.76267 63 292 0.73120 0.78868 7.86% 13.6 160s
20889 5435 0.77571 75 301 0.73120 0.78868 7.86% 13.6 165s
20893 5438 0.76940 68 301 0.73120 0.78868 7.86% 13.6 170s
20897 5440 0.78206 53 302 0.73120 0.78868 7.86% 13.6 175s
20901 5443 0.76531 68 296 0.73120 0.78868 7.86% 13.6 181s
20905 5446 0.74320 88 294 0.73120 0.78868 7.86% 13.6 185s
20909 5448 0.74549 64 296 0.73120 0.78868 7.86% 13.6 190s
20913 5451 0.78590 63 300 0.73120 0.78868 7.86% 13.6 195s
20917 5454 0.75917 65 298 0.73120 0.78868 7.86% 13.5 200s
20921 5456 0.75494 72 297 0.73120 0.78868 7.86% 13.5 205s
H20922 5182 0.7311970 0.78868 7.86% 13.5 208s
20925 5184 0.78369 60 297 0.73120 0.78868 7.86% 13.5 210s
20929 5187 0.76820 67 303 0.73120 0.78868 7.86% 13.5 215s
20933 5189 0.77818 72 302 0.73120 0.78868 7.86% 13.5 221s
20937 5192 0.75870 63 305 0.73120 0.78868 7.86% 13.5 226s
20941 5195 0.74412 72 316 0.73120 0.78868 7.86% 13.5 231s
20945 5197 0.76268 73 308 0.73120 0.78868 7.86% 13.5 236s
20948 5199 0.74104 70 310 0.73120 0.78868 7.86% 13.5 240s
20951 5201 0.75000 79 309 0.73120 0.78868 7.86% 13.5 247s
20953 5203 0.74215 75 295 0.73120 0.78868 7.86% 13.5 250s
20957 5205 0.74449 61 311 0.73120 0.78868 7.86% 13.5 255s
20961 5208 0.75083 101 314 0.73120 0.78868 7.86% 13.5 260s
20965 5211 0.76704 59 319 0.73120 0.78868 7.86% 13.5 265s
20968 5213 0.73745 75 319 0.73120 0.78868 7.86% 13.5 270s
20971 5215 0.74585 95 333 0.73120 0.78868 7.86% 13.5 275s
20974 5217 0.78668 55 316 0.73120 0.78868 7.86% 13.5 280s
20979 5220 0.74695 84 316 0.73120 0.78868 7.86% 13.5 285s
20983 5223 0.73877 62 331 0.73120 0.78868 7.86% 13.5 291s
20987 5225 0.73177 97 307 0.73120 0.78868 7.86% 13.5 297s
20989 5227 0.77571 75 308 0.73120 0.78868 7.86% 13.5 300s
20993 5229 0.76940 68 290 0.73120 0.78868 7.86% 13.5 306s
20995 5231 0.77425 55 300 0.73120 0.78868 7.86% 13.5 310s
20997 5232 0.78206 53 301 0.73120 0.78868 7.86% 13.5 316s
21000 5234 0.75763 67 319 0.73120 0.78868 7.86% 13.5 320s
21003 5236 0.75475 63 321 0.73120 0.78868 7.86% 13.5 325s
21007 5239 0.77229 67 310 0.73120 0.78868 7.86% 13.5 331s
21010 5241 0.74737 69 327 0.73120 0.78868 7.86% 13.5 335s
21013 5243 0.78590 63 321 0.73120 0.78868 7.86% 13.5 341s
21016 5245 0.76867 45 317 0.73120 0.78868 7.86% 13.5 345s
21019 5247 0.74604 68 303 0.73120 0.78868 7.86% 13.5 350s
21023 5249 0.73982 96 314 0.73120 0.78868 7.86% 13.5 356s
21026 5251 0.77641 53 320 0.73120 0.78868 7.86% 13.5 361s
21027 5252 0.77766 57 325 0.73120 0.78868 7.86% 13.5 365s
21029 5254 infeasible 27 0.73120 0.78868 7.86% 16.4 380s
21031 5256 0.78868 28 316 0.73120 0.78868 7.86% 16.4 410s
21063 5263 0.78868 34 301 0.73120 0.78868 7.86% 17.1 415s
21094 5267 0.78868 37 297 0.73120 0.78868 7.86% 17.8 420s
21198 5282 0.78868 35 305 0.73120 0.78868 7.86% 18.6 425s
21262 5288 infeasible 34 0.73120 0.78868 7.86% 19.3 430s
21320 5283 0.78868 38 297 0.73120 0.78868 7.86% 20.1 435s
21445 5298 0.78868 36 294 0.73120 0.78868 7.86% 21.1 440s
21513 5295 0.78868 47 267 0.73120 0.78868 7.86% 21.9 445s
21632 5287 infeasible 37 0.73120 0.78868 7.86% 23.2 450s
21745 5270 0.78868 38 288 0.73120 0.78868 7.86% 24.3 456s
21801 5264 0.78868 53 263 0.73120 0.78868 7.86% 25.1 460s
22035 5286 0.78868 39 275 0.73120 0.78868 7.86% 26.0 465s
22222 5286 0.74327 104 103 0.73120 0.78868 7.86% 26.6 470s
*22338 5030 173 0.7311988 0.78868 7.86% 26.8 474s
22358 5037 0.78868 58 226 0.73120 0.78868 7.86% 27.1 475s
22485 5025 cutoff 54 0.73120 0.78868 7.86% 27.8 480s
22806 5022 0.73324 62 186 0.73120 0.78868 7.86% 29.0 487s
22902 5012 0.75056 47 251 0.73120 0.78868 7.86% 29.3 490s
23091 5020 0.75077 77 134 0.73120 0.78868 7.86% 30.2 496s
23208 5013 0.74880 58 218 0.73120 0.78868 7.86% 30.7 500s
23451 4972 0.75539 65 169 0.73120 0.78868 7.86% 31.8 505s
23733 4976 infeasible 70 0.73120 0.78868 7.86% 32.8 511s
24083 4962 0.73998 75 172 0.73120 0.78868 7.86% 33.8 518s
24283 4957 0.75584 66 194 0.73120 0.78868 7.86% 34.4 521s
24500 4972 0.78868 55 197 0.73120 0.78868 7.86% 34.9 527s
24516 4950 0.78729 56 181 0.73120 0.78868 7.86% 34.9 531s
24763 4936 0.77931 49 224 0.73120 0.78868 7.86% 35.5 535s
25263 4924 0.78030 72 192 0.73120 0.78818 7.79% 36.6 543s
25547 4912 infeasible 54 0.73120 0.78709 7.64% 37.1 548s
25901 4908 0.74357 62 178 0.73120 0.78485 7.34% 37.5 552s
26264 4903 0.75628 68 162 0.73120 0.78275 7.05% 37.9 556s
26664 4882 infeasible 57 0.73120 0.78007 6.68% 38.3 561s
27022 4810 0.75127 60 176 0.73120 0.77838 6.45% 38.9 566s
27475 4793 0.73714 87 105 0.73120 0.77640 6.18% 39.3 570s
27717 4757 0.75230 78 156 0.73120 0.77464 5.94% 39.7 576s
28299 4794 infeasible 69 0.73120 0.77290 5.70% 39.9 582s
28544 4707 0.74320 76 151 0.73120 0.77290 5.70% 40.8 587s
29012 4614 0.75336 78 158 0.73120 0.77069 5.40% 41.3 594s
29447 4521 0.75543 60 148 0.73120 0.76937 5.22% 41.9 600s
Cutting planes:
Learned: 1
Gomory: 239
Cover: 7
Implied bound: 49
Projected implied bound: 61
Clique: 6
MIR: 303
StrongCG: 1
Flow cover: 720
Flow path: 3
Inf proof: 64
Zero half: 6
Network: 1
Explored 29908 nodes (1272780 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.731199 0.731197 0.731197
Time limit reached
Best objective 7.311988141930e-01, best bound 7.687909669043e-01, gap 5.1412%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgnc2swfo.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0e41sjg_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.72563
Presolve removed 806 rows and 501 columns
Presolve time: 0.05s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.102071e+00, 1599 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10207 0 125 0.72563 1.10207 51.9% - 0s
0 0 1.06131 0 140 0.72563 1.06131 46.3% - 0s
0 0 1.06114 0 141 0.72563 1.06114 46.2% - 0s
0 0 1.05863 0 146 0.72563 1.05863 45.9% - 0s
0 0 1.05858 0 144 0.72563 1.05858 45.9% - 0s
0 0 1.05795 0 154 0.72563 1.05795 45.8% - 0s
0 0 1.05775 0 158 0.72563 1.05775 45.8% - 0s
0 0 1.05728 0 154 0.72563 1.05728 45.7% - 0s
0 0 1.05725 0 155 0.72563 1.05725 45.7% - 0s
0 0 1.05670 0 158 0.72563 1.05670 45.6% - 0s
0 0 1.05670 0 159 0.72563 1.05670 45.6% - 0s
0 0 1.05664 0 164 0.72563 1.05664 45.6% - 0s
0 0 1.05664 0 164 0.72563 1.05664 45.6% - 0s
0 0 1.05664 0 151 0.72563 1.05664 45.6% - 0s
0 2 1.05664 0 151 0.72563 1.05664 45.6% - 0s
768 583 0.85869 58 167 0.72563 0.98053 35.1% 9.8 5s
1205 632 infeasible 24 0.72563 0.95448 31.5% 18.8 10s
2456 874 0.80957 40 147 0.72563 0.92117 26.9% 19.0 15s
3937 1509 infeasible 43 0.72563 0.91041 25.5% 18.3 20s
5693 1979 infeasible 55 0.72563 0.89259 23.0% 18.7 25s
7567 1979 infeasible 45 0.72563 0.85919 18.4% 17.0 30s
H 8989 2263 0.7256303 0.84102 15.9% 16.0 34s
9012 2233 infeasible 40 0.72563 0.83935 15.7% 16.0 35s
11153 2818 0.77848 63 104 0.72563 0.82670 13.9% 15.2 40s
13048 3321 0.80687 70 92 0.72563 0.82206 13.3% 14.8 45s
15090 3747 0.80046 72 91 0.72563 0.81868 12.8% 14.7 50s
17165 4184 0.76759 83 118 0.72563 0.81241 12.0% 14.5 55s
19260 4461 0.75705 66 101 0.72563 0.80642 11.1% 14.4 60s
20936 4833 0.76603 64 151 0.72563 0.80315 10.7% 14.2 88s
20942 4837 0.79779 82 237 0.72563 0.80315 10.7% 14.2 90s
20951 4843 0.74182 94 259 0.72563 0.80315 10.7% 14.2 95s
20957 4847 0.76370 75 232 0.72563 0.80315 10.7% 14.2 101s
20962 4850 0.79507 41 256 0.72563 0.80315 10.7% 14.2 105s
20971 4856 0.78633 66 281 0.72563 0.80315 10.7% 14.2 110s
20975 4859 0.79375 79 273 0.72563 0.80315 10.7% 14.2 116s
20978 4861 0.79543 62 282 0.72563 0.80315 10.7% 14.2 121s
20982 4864 0.73801 124 295 0.72563 0.80315 10.7% 14.2 125s
20986 4866 0.75193 74 291 0.72563 0.80315 10.7% 14.2 130s
20992 4870 0.75882 82 303 0.72563 0.80315 10.7% 14.2 135s
20996 4873 0.73721 85 292 0.72563 0.80315 10.7% 14.2 140s
21001 4876 0.74582 97 278 0.72563 0.80315 10.7% 14.2 147s
21003 4878 0.79900 59 290 0.72563 0.80315 10.7% 14.2 151s
21005 4879 0.78962 62 286 0.72563 0.80315 10.7% 14.2 155s
21007 4880 0.72735 152 295 0.72563 0.80315 10.7% 14.2 160s
21010 4882 0.75106 80 296 0.72563 0.80315 10.7% 14.2 165s
21013 4884 0.75281 93 300 0.72563 0.80315 10.7% 14.2 170s
21018 4888 0.78301 54 298 0.72563 0.80315 10.7% 14.2 177s
21021 4890 0.79889 56 313 0.72563 0.80315 10.7% 14.2 181s
21023 4891 0.75320 67 313 0.72563 0.80315 10.7% 14.2 185s
21027 4894 0.75680 68 310 0.72563 0.80315 10.7% 14.2 190s
21032 4897 0.73721 105 318 0.72563 0.80315 10.7% 14.2 195s
21035 4899 0.74953 88 333 0.72563 0.80315 10.7% 14.2 200s
21039 4902 0.78779 64 302 0.72563 0.80315 10.7% 14.2 206s
21042 4904 0.79779 82 314 0.72563 0.80315 10.7% 14.2 210s
21046 4906 0.77950 79 317 0.72563 0.80315 10.7% 14.2 215s
21049 4908 0.77459 68 311 0.72563 0.80315 10.7% 14.2 220s
21053 4911 0.76380 88 311 0.72563 0.80315 10.7% 14.2 226s
21055 4912 0.80239 35 310 0.72563 0.80315 10.7% 14.2 230s
21058 4914 0.79994 70 307 0.72563 0.80315 10.7% 14.2 235s
21061 4916 0.74587 90 312 0.72563 0.80315 10.7% 14.2 240s
21064 4918 0.76760 80 323 0.72563 0.80315 10.7% 14.2 245s
21067 4920 0.76518 76 320 0.72563 0.80315 10.7% 14.1 252s
21069 4922 0.80067 63 311 0.72563 0.80315 10.7% 14.1 258s
21071 4923 0.78633 66 319 0.72563 0.80315 10.7% 14.1 261s
21074 4925 0.73918 96 316 0.72563 0.80315 10.7% 14.1 265s
21076 4926 0.74189 64 320 0.72563 0.80315 10.7% 14.1 272s
21078 4928 0.79543 62 317 0.72563 0.80315 10.7% 14.1 277s
21080 4929 0.79248 67 316 0.72563 0.80315 10.7% 14.1 281s
21083 4931 0.75526 83 328 0.72563 0.80315 10.7% 14.1 285s
21086 4933 0.75193 74 325 0.72563 0.80315 10.7% 14.1 290s
21089 4935 0.74834 78 333 0.72563 0.80315 10.7% 14.1 296s
21091 4936 0.75286 68 333 0.72563 0.80315 10.7% 14.1 300s
21094 4938 0.76768 87 340 0.72563 0.80315 10.7% 14.1 306s
H21094 4688 0.7256303 0.80315 10.7% 14.1 311s
21097 4690 0.76012 77 333 0.72563 0.80315 10.7% 14.1 315s
21100 4692 0.75857 61 331 0.72563 0.80315 10.7% 14.1 320s
21103 4694 0.79900 59 323 0.72563 0.80315 10.7% 14.1 326s
21106 4696 0.73760 106 332 0.72563 0.80315 10.7% 14.1 330s
21109 4698 0.80227 63 325 0.72563 0.80315 10.7% 14.1 335s
21113 4701 0.75281 93 330 0.72563 0.80315 10.7% 14.1 340s
21115 4702 0.75578 90 330 0.72563 0.80315 10.7% 14.1 345s
21118 4704 0.78301 54 336 0.72563 0.80315 10.7% 14.1 351s
21120 4706 0.74313 70 337 0.72563 0.80315 10.7% 14.1 355s
21122 4707 0.77236 73 339 0.72563 0.80315 10.7% 14.1 360s
21125 4709 0.72725 97 302 0.72563 0.80315 10.7% 14.1 367s
21127 4710 0.75680 68 297 0.72563 0.80315 10.7% 14.1 370s
21131 4713 0.73610 71 301 0.72563 0.80315 10.7% 14.1 378s
21133 4714 0.76117 81 320 0.72563 0.80315 10.7% 14.1 382s
21135 4716 0.74953 88 312 0.72563 0.80315 10.7% 14.1 386s
21137 4717 0.76186 80 306 0.72563 0.80315 10.7% 14.1 390s
21141 4720 0.77691 63 311 0.72563 0.80315 10.7% 14.1 395s
21143 4721 0.77791 72 319 0.72563 0.80315 10.7% 14.1 400s
21147 4724 0.79748 44 319 0.72563 0.80315 10.7% 14.1 405s
21150 4726 0.73490 123 325 0.72563 0.80315 10.7% 14.1 412s
21153 4728 0.76380 88 330 0.72563 0.80315 10.7% 14.1 416s
21156 4730 0.73182 142 310 0.72563 0.80315 10.7% 14.1 421s
21158 4731 0.79994 70 311 0.72563 0.80315 10.7% 14.1 425s
21160 4732 0.74076 134 320 0.72563 0.80315 10.7% 14.1 430s
21163 4734 0.78633 58 324 0.72563 0.80315 10.7% 14.1 435s
21166 4736 0.74436 92 316 0.72563 0.80315 10.7% 14.1 441s
21168 4738 0.79503 80 324 0.72563 0.80315 10.7% 14.1 448s
21169 4738 0.80067 63 324 0.72563 0.80315 10.7% 14.1 450s
21170 4740 cutoff 27 0.72563 0.80315 10.7% 17.9 464s
21172 4739 0.80315 28 324 0.72563 0.80315 10.7% 18.0 480s
21184 4740 infeasible 33 0.72563 0.80315 10.7% 18.2 485s
21230 4743 0.79873 35 263 0.72563 0.80315 10.7% 18.8 493s
21275 4736 0.77451 44 237 0.72563 0.80315 10.7% 19.2 495s
21312 4735 0.74033 52 210 0.72563 0.80315 10.7% 19.5 500s
21384 4725 0.74376 41 264 0.72563 0.80315 10.7% 20.2 512s
21408 4725 0.79411 39 298 0.72563 0.80315 10.7% 20.6 515s
21588 4717 cutoff 62 0.72563 0.80315 10.7% 21.4 520s
21763 4726 0.73980 57 249 0.72563 0.80315 10.7% 22.2 525s
22053 4815 0.72889 69 225 0.72563 0.80315 10.7% 22.5 533s
22117 4810 0.78679 70 207 0.72563 0.80315 10.7% 23.2 535s
22354 4807 0.75215 54 277 0.72563 0.80175 10.5% 23.8 540s
22411 4811 0.78950 48 279 0.72563 0.79845 10.0% 24.2 545s
22580 4796 0.77484 64 241 0.72563 0.79838 10.0% 25.1 550s
22812 4835 infeasible 60 0.72563 0.79648 9.76% 26.0 555s
22976 4817 0.79179 63 215 0.72563 0.79606 9.71% 26.8 561s
23136 4796 0.77788 60 231 0.72563 0.79472 9.52% 27.7 566s
23328 4804 0.72736 82 152 0.72563 0.79345 9.35% 28.5 571s
23544 4808 0.76523 64 225 0.72563 0.79215 9.17% 29.1 575s
23785 4813 0.73094 85 179 0.72563 0.79103 9.01% 29.9 580s
24031 4792 0.79035 71 199 0.72563 0.79035 8.92% 30.7 585s
24367 4808 cutoff 77 0.72563 0.78910 8.75% 31.5 591s
24569 4816 cutoff 65 0.72563 0.78858 8.67% 31.9 595s
24997 4819 0.75789 70 186 0.72563 0.78667 8.41% 32.8 600s
Cutting planes:
Learned: 2
Gomory: 242
Cover: 14
Implied bound: 37
Projected implied bound: 66
Clique: 5
MIR: 232
StrongCG: 6
Flow cover: 620
Flow path: 2
Inf proof: 40
Zero half: 1
Explored 25067 nodes (826571 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.72563 0.72563 0.72563
Time limit reached
Warning: max constraint violation (2.8282e-06) exceeds tolerance
Warning: max bound violation (2.8276e-06) exceeds tolerance
Best objective 7.256302525995e-01, best bound 7.866726010454e-01, gap 8.4123%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvkmloqsc.pyomo.lp
Reading time = 0.02 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpssu073_v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714048
Presolve removed 819 rows and 509 columns
Presolve time: 0.08s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.082951e+00, 1502 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08295 0 128 0.71405 1.08295 51.7% - 0s
0 0 1.04422 0 140 0.71405 1.04422 46.2% - 0s
0 0 1.04210 0 143 0.71405 1.04210 45.9% - 0s
0 0 1.03929 0 147 0.71405 1.03929 45.5% - 0s
0 0 1.03927 0 152 0.71405 1.03927 45.5% - 0s
0 0 1.03568 0 153 0.71405 1.03568 45.0% - 0s
0 0 1.03475 0 155 0.71405 1.03475 44.9% - 0s
0 0 1.03072 0 154 0.71405 1.03072 44.3% - 0s
0 0 1.03072 0 154 0.71405 1.03072 44.3% - 0s
0 0 1.03026 0 154 0.71405 1.03026 44.3% - 0s
0 0 1.03026 0 155 0.71405 1.03026 44.3% - 0s
0 0 1.03025 0 155 0.71405 1.03025 44.3% - 0s
0 0 1.03025 0 145 0.71405 1.03025 44.3% - 0s
0 2 1.03025 0 145 0.71405 1.03025 44.3% - 0s
773 592 0.88867 54 153 0.71405 0.96297 34.9% 9.7 5s
1150 705 0.74259 128 91 0.71405 0.94938 33.0% 16.5 10s
2601 965 0.73516 32 108 0.71405 0.91476 28.1% 16.9 15s
4052 1462 infeasible 23 0.71405 0.88304 23.7% 17.7 20s
5280 1808 0.75552 58 114 0.71405 0.85772 20.1% 17.6 25s
7890 2850 0.74607 72 82 0.71405 0.82905 16.1% 15.5 30s
8879 3138 0.72619 79 68 0.71405 0.82448 15.5% 15.1 35s
10440 3220 cutoff 65 0.71405 0.81246 13.8% 14.9 40s
12834 3815 infeasible 34 0.71405 0.79910 11.9% 14.0 45s
14660 4144 infeasible 58 0.71405 0.79384 11.2% 13.6 50s
16916 4842 0.78483 61 121 0.71405 0.78647 10.1% 13.3 55s
19740 5633 0.76696 50 85 0.71405 0.78200 9.52% 13.0 60s
20740 5882 0.71443 142 145 0.71405 0.77994 9.23% 13.0 85s
20752 5890 0.74274 76 221 0.71405 0.77994 9.23% 12.9 90s
20755 5892 0.72753 68 232 0.71405 0.77994 9.23% 12.9 95s
20761 5896 0.76879 62 232 0.71405 0.77994 9.23% 12.9 100s
20764 5898 0.74838 29 245 0.71405 0.77994 9.23% 12.9 105s
20767 5900 0.76431 59 268 0.71405 0.77994 9.23% 12.9 110s
20770 5902 0.72673 69 260 0.71405 0.77994 9.23% 12.9 116s
20772 5903 0.75826 65 285 0.71405 0.77994 9.23% 12.9 120s
20775 5905 0.73505 82 288 0.71405 0.77994 9.23% 12.9 125s
20778 5907 0.76712 76 298 0.71405 0.77994 9.23% 12.9 131s
20781 5909 0.75804 80 302 0.71405 0.77994 9.23% 12.9 135s
20784 5911 0.71899 118 304 0.71405 0.77994 9.23% 12.9 140s
20788 5914 0.73526 87 303 0.71405 0.77994 9.23% 12.9 145s
20793 5917 0.73109 80 304 0.71405 0.77994 9.23% 12.9 152s
20795 5919 0.73227 79 304 0.71405 0.77994 9.23% 12.9 156s
20798 5921 0.77672 65 309 0.71405 0.77994 9.23% 12.9 160s
20801 5923 0.73741 65 309 0.71405 0.77994 9.23% 12.9 166s
20804 5925 0.75313 79 310 0.71405 0.77994 9.23% 12.9 170s
20808 5927 0.75832 64 284 0.71405 0.77994 9.23% 12.9 175s
20811 5929 0.77345 49 313 0.71405 0.77994 9.23% 12.9 180s
20814 5931 0.72465 89 314 0.71405 0.77994 9.23% 12.9 186s
20816 5933 0.74751 76 309 0.71405 0.77994 9.23% 12.9 190s
20819 5935 0.72579 98 305 0.71405 0.77994 9.23% 12.9 195s
20822 5937 0.76483 69 322 0.71405 0.77994 9.23% 12.9 200s
20826 5939 0.73639 87 313 0.71405 0.77994 9.23% 12.9 207s
20828 5941 0.77721 66 328 0.71405 0.77994 9.23% 12.9 210s
20832 5943 0.73530 84 330 0.71405 0.77994 9.23% 12.9 216s
20834 5945 0.74497 46 318 0.71405 0.77994 9.23% 12.9 220s
20837 5947 0.74904 97 332 0.71405 0.77994 9.23% 12.9 225s
20840 5949 0.71443 142 335 0.71405 0.77994 9.23% 12.9 231s
20843 5951 0.71847 122 334 0.71405 0.77994 9.23% 12.9 235s
20847 5953 0.76987 69 340 0.71405 0.77994 9.23% 12.9 240s
20851 5956 0.76098 64 337 0.71405 0.77994 9.23% 12.9 246s
20854 5958 0.75000 78 317 0.71405 0.77994 9.23% 12.9 251s
20857 5960 0.74051 99 335 0.71405 0.77994 9.23% 12.9 255s
20860 5962 0.77896 54 338 0.71405 0.77994 9.23% 12.9 261s
20862 5963 0.77150 70 323 0.71405 0.77994 9.23% 12.9 265s
20865 5965 0.77029 67 336 0.71405 0.77994 9.23% 12.9 270s
20867 5967 0.76431 59 332 0.71405 0.77994 9.23% 12.9 275s
20868 5967 0.75412 87 323 0.71405 0.77994 9.23% 12.9 281s
20872 5970 0.75826 65 332 0.71405 0.77994 9.23% 12.9 286s
20876 5973 0.73882 73 329 0.71405 0.77994 9.23% 12.9 291s
20879 5975 0.73139 108 330 0.71405 0.77994 9.23% 12.9 295s
20882 5977 0.71743 45 338 0.71405 0.77994 9.23% 12.9 301s
20885 5979 0.73627 80 334 0.71405 0.77994 9.23% 12.9 305s
20889 5981 0.76045 61 329 0.71405 0.77994 9.23% 12.9 310s
20892 5983 0.74940 69 322 0.71405 0.77994 9.23% 12.9 315s
20896 5986 0.77033 57 311 0.71405 0.77994 9.23% 12.9 322s
20898 5987 0.77672 65 318 0.71405 0.77994 9.23% 12.9 325s
20901 5989 0.73741 65 333 0.71405 0.77994 9.23% 12.9 330s
20902 5990 0.74554 77 321 0.71405 0.77994 9.23% 12.9 335s
20907 5993 0.76123 75 332 0.71405 0.77994 9.23% 12.9 341s
20909 5995 0.77708 59 328 0.71405 0.77994 9.23% 12.9 345s
20913 5997 0.73290 111 330 0.71405 0.77994 9.23% 12.8 350s
20916 5999 0.74751 76 344 0.71405 0.77994 9.23% 12.8 356s
20918 6001 0.75224 100 325 0.71405 0.77994 9.23% 12.8 360s
20922 6003 0.76483 69 333 0.71405 0.77994 9.23% 12.8 365s
20925 6005 0.77958 61 336 0.71405 0.77994 9.23% 12.8 371s
20927 6007 0.77320 59 331 0.71405 0.77994 9.23% 12.8 375s
20930 6009 0.74571 75 329 0.71405 0.77994 9.23% 12.8 380s
20933 6011 0.72252 86 336 0.71405 0.77994 9.23% 12.8 386s
20937 6013 0.74904 97 343 0.71405 0.77994 9.23% 12.8 392s
20939 6015 0.77025 65 343 0.71405 0.77994 9.23% 12.8 395s
20943 6017 0.71847 122 347 0.71405 0.77994 9.23% 12.8 402s
20945 6019 0.73701 104 337 0.71405 0.77994 9.23% 12.8 409s
20946 6019 0.76168 80 345 0.71405 0.77994 9.23% 12.8 410s
20949 6021 0.73599 120 332 0.71405 0.77994 9.23% 12.8 418s
20951 6023 0.76098 64 340 0.71405 0.77994 9.23% 12.8 422s
20953 6024 0.75123 60 329 0.71405 0.77994 9.23% 12.8 427s
20955 6025 0.72753 68 339 0.71405 0.77994 9.23% 12.8 432s
20957 6028 infeasible 23 0.71405 0.77994 9.23% 16.6 447s
20959 6027 0.77994 24 340 0.71405 0.77994 9.23% 16.6 464s
20961 6027 0.77994 25 346 0.71405 0.77994 9.23% 16.6 465s
20983 6032 0.77359 30 271 0.71405 0.77994 9.23% 17.0 470s
21016 6029 0.77994 34 291 0.71405 0.77994 9.23% 17.3 475s
H21023 5724 0.7140483 0.77994 9.23% 17.4 475s
21060 5712 0.77994 38 291 0.71405 0.77994 9.23% 17.8 480s
21158 5728 0.77994 47 248 0.71405 0.77994 9.23% 18.5 485s
21199 5741 0.77994 50 255 0.71405 0.77994 9.23% 18.8 492s
21255 5755 0.77994 55 233 0.71405 0.77994 9.23% 19.2 495s
21447 5804 infeasible 43 0.71405 0.77994 9.23% 19.8 501s
21525 5796 0.71891 49 232 0.71405 0.77994 9.23% 20.7 505s
21674 5800 0.77994 41 283 0.71405 0.77994 9.23% 21.6 510s
21805 5801 0.77994 49 240 0.71405 0.77994 9.23% 22.5 515s
22021 5838 0.73707 83 167 0.71405 0.77994 9.23% 23.5 521s
22169 5877 0.73074 46 253 0.71405 0.77994 9.23% 24.0 525s
22363 5902 0.77994 46 235 0.71405 0.77994 9.23% 24.6 531s
22416 5905 infeasible 51 0.71405 0.77994 9.23% 25.0 537s
22542 5914 0.77994 42 263 0.71405 0.77994 9.23% 25.6 541s
22632 5916 0.77994 44 239 0.71405 0.77994 9.23% 26.3 546s
22765 5924 0.74838 64 176 0.71405 0.77994 9.23% 27.1 551s
23057 6005 0.77994 45 255 0.71405 0.77994 9.23% 27.8 557s
23247 6035 0.71784 53 204 0.71405 0.77994 9.23% 28.7 562s
23329 6027 0.73693 49 264 0.71405 0.77994 9.23% 29.1 565s
23543 6069 0.73134 43 222 0.71405 0.77994 9.23% 30.2 572s
23614 6060 0.77994 50 245 0.71405 0.77994 9.23% 30.8 575s
23841 6079 cutoff 53 0.71405 0.77994 9.23% 31.8 587s
23852 6074 0.74817 44 216 0.71405 0.77994 9.23% 31.9 591s
23954 6063 0.77517 47 236 0.71405 0.77994 9.23% 32.5 595s
24261 6114 0.72445 72 176 0.71405 0.77994 9.23% 33.7 600s
Cutting planes:
Learned: 3
Gomory: 214
Cover: 7
Implied bound: 39
Projected implied bound: 51
Clique: 8
MIR: 244
StrongCG: 5
Flow cover: 748
Flow path: 1
Inf proof: 48
Explored 24289 nodes (821355 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.714048 0.714048
Time limit reached
Best objective 7.140483383763e-01, best bound 7.799383927533e-01, gap 9.2277%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyg54fakj.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4sgvbb_9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.703402
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.065147e+00, 1629 iterations, 0.07 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06515 0 128 0.70340 1.06515 51.4% - 0s
0 0 1.02552 0 149 0.70340 1.02552 45.8% - 0s
0 0 1.02544 0 150 0.70340 1.02544 45.8% - 0s
0 0 1.02320 0 160 0.70340 1.02320 45.5% - 0s
0 0 1.02307 0 157 0.70340 1.02307 45.4% - 0s
0 0 1.02148 0 169 0.70340 1.02148 45.2% - 0s
0 0 1.02025 0 170 0.70340 1.02025 45.0% - 0s
0 0 1.01951 0 166 0.70340 1.01951 44.9% - 0s
0 0 1.01951 0 167 0.70340 1.01951 44.9% - 0s
0 0 1.01951 0 167 0.70340 1.01951 44.9% - 0s
0 0 1.01928 0 167 0.70340 1.01928 44.9% - 0s
0 0 1.01928 0 168 0.70340 1.01928 44.9% - 0s
0 0 1.01928 0 168 0.70340 1.01928 44.9% - 0s
0 0 1.01928 0 148 0.70340 1.01928 44.9% - 0s
0 2 1.01928 0 148 0.70340 1.01928 44.9% - 0s
766 536 0.88644 35 171 0.70340 0.94533 34.4% 12.1 5s
1262 590 0.88099 35 152 0.70340 0.90131 28.1% 19.6 10s
2823 879 0.74561 47 145 0.70340 0.86231 22.6% 17.3 15s
4956 1535 0.75021 78 118 0.70340 0.83837 19.2% 15.6 20s
6267 1741 cutoff 72 0.70340 0.81097 15.3% 15.4 25s
H 6289 1750 0.7034019 0.81097 15.3% 15.4 25s
7961 2195 0.76790 82 111 0.70340 0.79479 13.0% 15.0 30s
9761 2441 0.78323 66 121 0.70340 0.78323 11.3% 14.9 35s
12220 3233 0.77142 72 106 0.70340 0.77690 10.4% 14.2 40s
14174 3588 0.71756 90 73 0.70340 0.77110 9.62% 14.0 45s
16399 4059 0.74448 66 107 0.70340 0.76761 9.13% 13.8 50s
18824 4601 infeasible 98 0.70340 0.76320 8.50% 13.6 55s
19599 4684 0.74069 75 107 0.70340 0.76176 8.30% 13.7 60s
20768 4928 0.75837 59 128 0.70340 0.75929 7.95% 13.7 85s
22600 5276 0.74247 64 133 0.70340 0.75680 7.59% 14.2 90s
23723 5440 0.74510 81 118 0.70340 0.75510 7.35% 14.7 95s
25232 5736 0.73668 77 114 0.70340 0.75268 7.01% 15.1 100s
26445 5810 infeasible 72 0.70340 0.75098 6.76% 15.6 106s
27415 5861 0.73150 78 92 0.70340 0.74920 6.51% 16.0 110s
28568 5933 infeasible 92 0.70340 0.74779 6.31% 16.4 115s
29768 6000 cutoff 65 0.70340 0.74627 6.09% 16.8 120s
30963 6029 0.73707 80 119 0.70340 0.74457 5.85% 17.1 125s
32139 6052 cutoff 77 0.70340 0.74308 5.64% 17.4 130s
33551 6115 infeasible 95 0.70340 0.74157 5.43% 17.7 136s
34408 6082 infeasible 94 0.70340 0.74052 5.28% 18.0 140s
35593 6004 infeasible 71 0.70340 0.73873 5.02% 18.4 145s
36173 6045 cutoff 67 0.70340 0.73816 4.94% 18.6 150s
36839 5988 0.72680 68 134 0.70340 0.73727 4.81% 18.7 155s
38107 5946 cutoff 74 0.70340 0.73564 4.58% 19.1 160s
39023 5912 cutoff 79 0.70340 0.73470 4.45% 19.4 165s
40348 5869 cutoff 62 0.70340 0.73305 4.22% 19.6 170s
41258 5758 0.72654 72 147 0.70340 0.73196 4.06% 19.9 175s
42521 5586 0.72372 88 149 0.70340 0.73040 3.84% 20.1 180s
43932 5467 cutoff 72 0.70340 0.72910 3.65% 20.4 185s
44796 5308 0.72751 79 96 0.70340 0.72797 3.49% 20.6 190s
45916 5091 infeasible 68 0.70340 0.72658 3.30% 20.8 195s
46900 4857 cutoff 89 0.70340 0.72516 3.09% 21.0 200s
48052 4636 cutoff 70 0.70340 0.72389 2.91% 21.1 205s
49438 4369 infeasible 67 0.70340 0.72248 2.71% 21.2 211s
50630 4057 infeasible 86 0.70340 0.72095 2.49% 21.4 216s
51819 3624 0.71739 85 173 0.70340 0.71920 2.25% 21.5 221s
52875 3172 infeasible 73 0.70340 0.71732 1.98% 21.7 225s
54168 2564 infeasible 78 0.70340 0.71506 1.66% 21.8 230s
55468 1782 0.71016 95 63 0.70340 0.71193 1.21% 21.9 235s
Cutting planes:
Learned: 1
Gomory: 127
Cover: 3
Implied bound: 58
Projected implied bound: 30
Clique: 4
MIR: 59
Flow cover: 194
Flow path: 3
Inf proof: 398
Explored 56347 nodes (1229053 simplex iterations) in 236.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.703402 0.703402
Optimal solution found (tolerance 1.00e-02)
Best objective 7.034019455797e-01, best bound 7.103117033606e-01, gap 0.9823%
Run 8
Seed for training 56
Seed for simulation 978
direc: array([[-2.67963068, 0. , 2.02047505],
[ 0. , 1. , 0. ],
[ 0.06394021, 12.12488167, 54.17590843]])
fopt: 0.5747995092532826
fun: -0.5751463901186418
message: 'Optimization terminated successfully.'
nfev: 649
nit: 7
status: 0
success: True
x: array([199.70513856, 14.328215 , 222.00027531])
xopt: array([199., 15., 222.])
zopt: array([199., 214., 436.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp80j66out.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdue2d_s9.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [2e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.5748
Presolve removed 845 rows and 525 columns
Presolve time: 0.05s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.207972e+00, 1403 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20797 0 120 0.57480 1.20797 110% - 0s
0 0 1.18885 0 148 0.57480 1.18885 107% - 0s
0 0 1.18795 0 149 0.57480 1.18795 107% - 0s
0 0 1.17818 0 177 0.57480 1.17818 105% - 0s
0 0 1.17535 0 181 0.57480 1.17535 104% - 0s
0 0 1.16531 0 170 0.57480 1.16531 103% - 0s
0 0 1.16402 0 163 0.57480 1.16402 103% - 0s
0 0 1.16043 0 180 0.57480 1.16043 102% - 0s
0 0 1.15832 0 189 0.57480 1.15832 102% - 0s
0 0 1.15732 0 192 0.57480 1.15732 101% - 0s
0 0 1.15730 0 189 0.57480 1.15730 101% - 0s
0 0 1.15724 0 186 0.57480 1.15724 101% - 0s
0 0 1.15724 0 186 0.57480 1.15724 101% - 0s
0 0 1.15724 0 183 0.57480 1.15724 101% - 0s
0 0 1.15724 0 167 0.57480 1.15724 101% - 0s
0 2 1.15724 0 159 0.57480 1.15724 101% - 1s
756 568 0.92802 19 146 0.57480 1.10783 92.7% 18.7 5s
776 583 1.10783 11 165 0.57480 1.10783 92.7% 25.7 10s
1480 788 0.70834 135 112 0.57480 1.08135 88.1% 24.5 15s
* 1708 817 251 0.5782916 1.07504 85.9% 22.7 15s
2784 1154 infeasible 25 0.57829 1.05771 82.9% 23.3 20s
H 2887 1112 0.6329332 1.04554 65.2% 23.6 22s
3311 1318 0.96521 31 178 0.63293 1.03222 63.1% 23.3 25s
5449 2327 infeasible 68 0.63293 0.98405 55.5% 21.1 30s
7631 3358 0.91022 49 141 0.63293 0.95880 51.5% 19.3 35s
10359 4390 infeasible 40 0.63293 0.93494 47.7% 17.7 40s
12852 5342 0.81977 56 129 0.63293 0.91736 44.9% 16.8 45s
16076 6447 0.80183 60 113 0.63293 0.90344 42.7% 15.9 51s
17269 6594 infeasible 64 0.63293 0.89683 41.7% 15.7 55s
20176 7309 infeasible 30 0.63293 0.88490 39.8% 15.2 60s
20747 7429 0.87272 66 167 0.63293 0.88278 39.5% 15.3 88s
20750 7431 0.65772 32 208 0.63293 0.88278 39.5% 15.3 90s
20759 7437 0.86213 42 272 0.63293 0.88278 39.5% 15.3 96s
20761 7438 0.82789 65 280 0.63293 0.88278 39.5% 15.3 100s
20766 7442 0.74530 93 293 0.63293 0.88278 39.5% 15.2 105s
20772 7446 0.67331 65 276 0.63293 0.88278 39.5% 15.2 111s
20778 7450 0.82272 62 293 0.63293 0.88278 39.5% 15.2 115s
20784 7454 0.82475 47 295 0.63293 0.88278 39.5% 15.2 120s
20789 7457 0.72088 61 310 0.63293 0.88278 39.5% 15.2 125s
20792 7459 0.81728 44 319 0.63293 0.88278 39.5% 15.2 130s
20795 7461 0.78301 47 313 0.63293 0.88278 39.5% 15.2 135s
20799 7464 0.82679 44 311 0.63293 0.88278 39.5% 15.2 140s
20805 7468 0.65656 57 317 0.63293 0.88278 39.5% 15.2 145s
20809 7470 0.84706 40 318 0.63293 0.88278 39.5% 15.2 150s
20813 7473 0.76134 49 334 0.63293 0.88278 39.5% 15.2 156s
20816 7475 0.87981 49 340 0.63293 0.88278 39.5% 15.2 160s
20820 7478 0.74321 61 317 0.63293 0.88278 39.5% 15.2 166s
20824 7480 0.66561 51 341 0.63293 0.88278 39.5% 15.2 170s
20828 7483 0.85832 54 334 0.63293 0.88278 39.5% 15.2 175s
20832 7486 0.71835 110 332 0.63293 0.88278 39.5% 15.2 181s
20839 7490 0.71224 55 316 0.63293 0.88278 39.5% 15.2 187s
20841 7492 0.70114 87 320 0.63293 0.88278 39.5% 15.2 191s
20843 7493 0.74021 43 311 0.63293 0.88278 39.5% 15.2 195s
20848 7496 0.84612 53 303 0.63293 0.88278 39.5% 15.2 200s
20853 7500 0.77496 89 293 0.63293 0.88278 39.5% 15.2 206s
20855 7501 0.83112 47 347 0.63293 0.88278 39.5% 15.2 214s
20856 7502 0.78111 44 345 0.63293 0.88278 39.5% 15.2 215s
20859 7504 0.86213 42 347 0.63293 0.88278 39.5% 15.2 220s
20860 7504 0.84800 55 289 0.63293 0.88278 39.5% 15.2 225s
20865 7508 0.68999 64 293 0.63293 0.87844 38.8% 15.2 230s
20866 7508 0.74530 93 295 0.63293 0.87440 38.1% 15.2 243s
20867 7509 0.75079 58 334 0.63293 0.87211 37.8% 15.2 251s
20870 7511 0.79694 60 297 0.63293 0.87070 37.6% 15.2 256s
20872 7512 0.67331 65 292 0.63293 0.86969 37.4% 15.2 260s
20875 7514 0.86824 48 287 0.63293 0.86824 37.2% 15.2 265s
20877 7516 0.74723 47 308 0.63293 0.86746 37.1% 15.2 275s
20879 7517 0.82985 55 303 0.63293 0.86685 37.0% 15.2 280s
20883 7520 0.73640 73 303 0.63293 0.86564 36.8% 15.2 287s
20886 7522 0.73805 48 296 0.63293 0.86454 36.6% 15.2 290s
20891 7525 0.64050 209 311 0.63293 0.86328 36.4% 15.2 297s
20893 7526 0.86299 43 311 0.63293 0.86299 36.3% 15.2 300s
20896 7528 0.78215 60 317 0.63293 0.86278 36.3% 15.2 305s
20899 7530 0.82679 44 307 0.63293 0.86188 36.2% 15.2 311s
20901 7532 0.74524 77 310 0.63293 0.86179 36.2% 15.2 315s
20904 7534 0.77496 89 313 0.63293 0.86026 35.9% 15.1 320s
20907 7536 0.85335 68 339 0.63293 0.85950 35.8% 15.1 333s
20908 7536 0.85857 50 311 0.63293 0.85857 35.6% 15.1 340s
20911 7538 0.77672 107 309 0.63293 0.85735 35.5% 15.1 346s
20913 7540 0.76134 49 345 0.63293 0.85696 35.4% 15.1 350s
H20913 7160 0.6329332 0.85662 35.3% 15.1 355s
20917 7162 0.73259 61 320 0.63293 0.85482 35.1% 15.1 362s
20918 7163 0.76020 89 308 0.63293 0.85472 35.0% 15.1 366s
20920 7164 0.74321 61 310 0.63293 0.85460 35.0% 15.1 371s
20922 7166 0.75492 75 306 0.63293 0.85447 35.0% 15.1 376s
20924 7167 0.66561 51 309 0.63293 0.85430 35.0% 15.1 381s
20926 7168 0.75833 39 309 0.63293 0.85368 34.9% 15.1 385s
20929 7170 0.83772 53 313 0.63293 0.85301 34.8% 15.1 391s
20931 7172 0.70672 86 310 0.63293 0.85256 34.7% 15.1 395s
20935 7174 0.84086 53 314 0.63293 0.85223 34.6% 15.1 401s
20937 7176 0.85211 74 319 0.63293 0.85211 34.6% 15.1 405s
20941 7178 0.70114 87 325 0.63293 0.85062 34.4% 15.1 411s
20943 7180 0.74021 43 314 0.63293 0.85040 34.4% 15.1 415s
20947 7182 0.84992 66 314 0.63293 0.84992 34.3% 15.1 422s
20949 7184 0.84981 37 315 0.63293 0.84981 34.3% 15.1 426s
20951 7185 0.84972 46 321 0.63293 0.84972 34.3% 15.1 431s
20953 7186 0.77496 89 322 0.63293 0.84957 34.2% 15.1 435s
20956 7188 0.78111 44 326 0.63293 0.84931 34.2% 15.1 440s
20959 7190 0.84902 42 315 0.63293 0.84902 34.1% 15.1 445s
20962 7192 0.84887 70 328 0.63293 0.84887 34.1% 15.1 450s
20965 7194 0.68999 64 317 0.63293 0.84702 33.8% 15.1 455s
H20966 6831 0.6329332 0.84419 33.4% 15.1 461s
20969 6833 0.78489 81 313 0.63293 0.84398 33.3% 15.1 466s
20972 6835 0.67331 65 306 0.63293 0.84384 33.3% 15.1 470s
20976 6838 0.65783 176 306 0.63293 0.84309 33.2% 15.1 476s
20978 6839 0.82272 62 308 0.63293 0.84309 33.2% 15.1 480s
20981 6841 0.83589 95 313 0.63293 0.84257 33.1% 15.1 485s
20984 6843 0.82475 47 305 0.63293 0.84216 33.1% 15.1 491s
20986 6844 0.73805 48 298 0.63293 0.84186 33.0% 15.1 495s
20989 6846 0.72088 61 302 0.63293 0.84145 32.9% 15.1 501s
20993 6849 0.83928 43 303 0.63293 0.83928 32.6% 15.1 506s
20995 6850 0.78301 47 318 0.63293 0.83825 32.4% 15.1 510s
20999 6853 0.82679 44 313 0.63293 0.83710 32.3% 15.1 519s
21000 6854 0.73323 98 317 0.63293 0.83693 32.2% 15.1 520s
21003 6856 0.69482 114 324 0.63293 0.83626 32.1% 15.1 529s
21004 6856 0.77496 89 324 0.63293 0.83626 32.1% 15.1 531s
21005 6857 cutoff 23 0.63293 0.83488 31.9% 22.7 545s
21007 6856 0.83026 24 318 0.63293 0.83026 31.2% 22.8 560s
21008 6857 0.83021 25 322 0.63293 0.83021 31.2% 22.8 566s
21009 6857 0.82904 26 319 0.63293 0.82904 31.0% 22.8 575s
21021 6864 0.72194 30 298 0.63293 0.82321 30.1% 23.1 580s
H21036 6514 0.6329332 0.82321 30.1% 23.3 582s
21070 6518 0.75601 36 253 0.63293 0.82290 30.0% 23.4 586s
21108 6519 0.73598 42 245 0.63293 0.82290 30.0% 23.6 592s
21161 6517 0.67205 46 245 0.63293 0.82290 30.0% 24.0 595s
21239 6508 infeasible 33 0.63293 0.81662 29.0% 24.7 600s
Cutting planes:
Learned: 2
Gomory: 210
Cover: 11
Implied bound: 32
Projected implied bound: 48
Clique: 10
MIR: 154
StrongCG: 6
Flow cover: 475
Flow path: 1
GUB cover: 1
Inf proof: 28
Zero half: 1
Explored 21260 nodes (530147 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.632933 0.632933 0.632933 ... 0.5748
Time limit reached
Best objective 6.329331881015e-01, best bound 8.166229891845e-01, gap 29.0220%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg5a8ge73.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3iedcjbn.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 749 rows and 558 columns
Presolve time: 0.01s
Presolved: 512 rows, 523 columns, 2212 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.5192861e+02 1.045974e+04 0.000000e+00 0s
358 1.1084261e+01 0.000000e+00 0.000000e+00 0s
Solved in 358 iterations and 0.02 seconds
Optimal objective 1.108426074e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06609969, 0.0109562 , 0.0109562 ]])
fopt: 0.7050068507085024
fun: -0.7090738860825011
message: 'Optimization terminated successfully.'
nfev: 147
nit: 2
status: 0
success: True
x: array([13.00000047, -0.9999238 , -0.9999238 ])
xopt: array([13., 0., 0.])
zopt: array([13., 13., 13.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-5.94865912e-02, 3.69139267e-03, 3.79424979e-03],
[-5.07248423e-05, -5.89511964e-02, -6.49712749e-03]])
fopt: 0.7279583099966758
fun: -0.7393480983217251
message: 'Optimization terminated successfully.'
nfev: 522
nit: 7
status: 0
success: True
x: array([27.00004184, -0.99019499, -0.96456058])
xopt: array([27., 0., 0.])
zopt: array([27., 27., 27.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.12719332, -0.00138876, -0.03533989]])
fopt: 1.1946746652532965
fun: -1.208584441781825
message: 'Optimization terminated successfully.'
nfev: 315
nit: 4
status: 0
success: True
x: array([ 45.08801991, -0.94893533, -32.99999988])
xopt: array([45., 0., 0.])
zopt: array([45., 45., 45.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.98290716, -0.0335955 , -0.03381411]])
fopt: 0.9815571387672387
fun: -0.9920525568210781
message: 'Optimization terminated successfully.'
nfev: 152
nit: 2
status: 0
success: True
x: array([60.11881176, -1.03856308, -1.05103445])
xopt: array([60., 0., 0.])
zopt: array([60., 60., 60.])
*******************************************
Period: 5
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.1332143266959247
fun: -1.140286144169764
message: 'Optimization terminated successfully.'
nfev: 266
nit: 2
status: 0
success: True
x: array([81.04056657, 1.12116075, 1. ])
xopt: array([81., 1., 1.])
zopt: array([81., 82., 83.])
*******************************************
Period: 6
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.188369627450542
fun: -1.1940921870997583
message: 'Optimization terminated successfully.'
nfev: 248
nit: 2
status: 0
success: True
x: array([102.11469663, 1.00000006, 1.00074558])
xopt: array([102., 1., 1.])
zopt: array([102., 103., 104.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1518
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.0442230442705207
fun: -1.0489717265177667
message: 'Optimization terminated successfully.'
nfev: 260
nit: 2
status: 0
success: True
x: array([148.00322116, 1.03617919, 1. ])
xopt: array([148., 1., 1.])
zopt: array([148., 149., 150.])
*******************************************
Period: 9
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.0007339845116037
fun: -1.001466762329165
message: 'Optimization terminated successfully.'
nfev: 199
nit: 2
status: 0
success: True
x: array([168.6674217 , 1.00813062, 2.06042376])
xopt: array([168., 1., 2.])
zopt: array([168., 169., 171.])
*******************************************
Period: 10
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.82761258e-01, 9.97382931e-09, 1.62345947e-08]])
fopt: 0.8949156084631842
fun: -0.8957882637259852
message: 'Optimization terminated successfully.'
nfev: 583
nit: 5
status: 0
success: True
x: array([183.92877119, 1.00000536, 1.00635115])
xopt: array([183., 2., 1.])
zopt: array([183., 185., 186.])
*******************************************
Period: 11
direc: array([[-1.86024605, -0.01034673, -0.02482545],
[-0. , 0. , 0. ],
[ 0. , 4. , 0. ]])
fopt: 0.8710576536706315
fun: -0.870692600063388
message: 'Optimization terminated successfully.'
nfev: 610
nit: 6
status: 0
success: True
x: array([182.9447383 , 14.01198059, 14.34674993])
xopt: array([182., 15., 14.])
zopt: array([182., 197., 211.])
*******************************************
Period: 12
direc: array([[2.55712797e-01, 1.61019252e-03, 3.13221560e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.20280167e+00, 8.62822914e+00, 1.95271130e+01]])
fopt: 0.8352943132287227
fun: -0.8340349127264473
message: 'Optimization terminated successfully.'
nfev: 623
nit: 7
status: 0
success: True
x: array([176.54427626, 20.00031194, 31.83560043])
xopt: array([176., 21., 31.])
zopt: array([176., 197., 228.])
*******************************************
Period: 13
direc: array([[7.13368250e-03, 3.87498788e-05, 7.74997585e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.34459604e-01, 1.88519344e+01, 3.83003046e+01]])
fopt: 0.8046759121099856
fun: -0.8007049092279418
message: 'Optimization terminated successfully.'
nfev: 424
nit: 5
status: 0
success: True
x: array([183.96709672, 22.00445253, 43.20249793])
xopt: array([183., 22., 44.])
zopt: array([183., 205., 249.])
*******************************************
Period: 14
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 19.15363088, 52.7839562 ]])
fopt: 0.782974204352896
fun: -0.7772275304835146
message: 'Optimization terminated successfully.'
nfev: 304
nit: 4
status: 0
success: True
x: array([184.89812912, 22.02701035, 58.84051608])
xopt: array([184., 22., 59.])
zopt: array([184., 206., 265.])
*******************************************
Period: 15
direc: array([[-2.48755447e+00, -1.22972539e-02, -2.51828774e-02],
[ 0.00000000e+00, 2.49927276e-05, 2.47428003e-05],
[-1.85150384e-09, 1.00002499e+00, 2.47427816e-05]])
fopt: 0.41742888136175127
fun: -0.41544718713186224
message: 'Optimization terminated successfully.'
nfev: 630
nit: 6
status: 0
success: True
x: array([205.24937065, 7.00978408, 5.00207448])
xopt: array([205., 8., 6.])
zopt: array([205., 213., 219.])
*******************************************
Period: 16
direc: array([[ 3.40712741e-07, 2.58277381e+01, 5.68310791e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, -0.00000000e+00]])
fopt: 0.6665836195012274
fun: -0.6647072224139627
message: 'Optimization terminated successfully.'
nfev: 454
nit: 5
status: 0
success: True
x: array([207.57051471, 18.03275051, 70.12210012])
xopt: array([207., 18., 71.])
zopt: array([207., 225., 296.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-9.76102092e+01, 0.00000000e+00, 9.88602821e+01],
[ 1.13667545e-04, 1.03401464e+01, -5.38338811e-03]])
fopt: 0.7967443711260127
fun: -0.7952265454975921
message: 'Optimization terminated successfully.'
nfev: 499
nit: 6
status: 0
success: True
x: array([183.29591017, 15.34133267, 124.02959627])
xopt: array([183., 16., 124.])
zopt: array([183., 199., 323.])
*******************************************
Period: 18
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.60956318e-08, 3.87060968e-11, 4.24439433e-08]])
fopt: 0.24105898586099433
fun: -0.24231599748073268
message: 'Optimization terminated successfully.'
nfev: 427
nit: 5
status: 0
success: True
x: array([281.57276833, -0.57435703, 3.00000004])
xopt: array([281., 0., 4.])
zopt: array([281., 281., 285.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-90.95288766, 0.19972114, 168.36471879]])
fopt: 0.7403492104232618
fun: -0.7408792611131304
message: 'Optimization terminated successfully.'
nfev: 457
nit: 5
status: 0
success: True
x: array([189.04697789, 2.1844849 , 163.00071395])
xopt: array([189., 2., 163.])
zopt: array([189., 191., 354.])
*******************************************
Period: 20
direc: array([[-1.09857526e+01, 1.20320290e+01, 1.88729475e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.99866895e-04, 2.71240151e-04, 4.77688544e-04]])
fopt: 0.764139650809502
fun: -0.7608295365720141
message: 'Optimization terminated successfully.'
nfev: 662
nit: 8
status: 0
success: True
x: array([143.93026452, 48.00026693, 175.22573983])
xopt: array([143., 48., 176.])
zopt: array([143., 191., 367.])
*******************************************
Period: 21
direc: array([[-1.12408692e+01, 6.00618429e+00, 6.06624613e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.25889033e-02, 2.98561119e+01, 5.42775626e+01]])
fopt: 0.832689163185271
fun: -0.8307121460096943
message: 'Optimization terminated successfully.'
nfev: 424
nit: 6
status: 0
success: True
x: array([ 80.97444255, 140. , 167.21973835])
xopt: array([ 80., 140., 168.])
zopt: array([ 80., 220., 388.])
*******************************************
Period: 22
direc: array([[-9.60807687e+01, 1.34205077e-04, 1.02214875e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.52900190e+00, 5.64353898e+00, 1.92228429e+00]])
fopt: 0.7613690675432742
fun: -0.7608508815109776
message: 'Optimization terminated successfully.'
nfev: 643
nit: 10
status: 0
success: True
x: array([135.24423322, 54. , 211.00068368])
xopt: array([135., 54., 211.])
zopt: array([135., 189., 400.])
*******************************************
Period: 23
direc: array([[ 6.84916778e-05, 0.00000000e+00, 1.13241544e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.48508960e+01, 1.89803024e+00, 1.09979487e+01]])
fopt: 0.369953269937883
fun: -0.6276274218419042
message: 'Optimization terminated successfully.'
nfev: 610
nit: 7
status: 0
success: True
x: array([241.80376776, -53.80376776, 222.00007089])
xopt: array([241., 0., 222.])
zopt: array([241., 241., 463.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 126.18057265]])
fopt: 0.14528583479837126
fun: -0.6003246236647191
message: 'Optimization terminated successfully.'
nfev: 499
nit: 7
status: 0
success: True
x: array([281.58908213, -90.58877769, 219.00014388])
xopt: array([281., 0., 219.])
zopt: array([281., 281., 500.])
*******************************************
Period: 25
direc: array([[-1.20987494e+00, -0.00000000e+00, -8.61195552e-03],
[-1.64881745e+01, 0.00000000e+00, 5.50644701e+01],
[-0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.6620025717650452
fun: -0.6611467133275624
message: 'Optimization terminated successfully.'
nfev: 732
nit: 9
status: 0
success: True
x: array([187.86119185, 3.00000415, 217.02218247])
xopt: array([187., 4., 218.])
zopt: array([187., 191., 409.])
*******************************************
Period: 26
direc: array([[-2.98391816e+00, -0.00000000e+00, -2.15272808e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.59525102e-01, -3.49807981e+00, 1.31700235e+02]])
fopt: 0.669610587795753
fun: -0.6709118274082229
message: 'Optimization terminated successfully.'
nfev: 684
nit: 9
status: 0
success: True
x: array([194.27094789, -3.27094592, 216.00000056])
xopt: array([194., 0., 216.])
zopt: array([194., 194., 410.])
*******************************************
Period: 27
direc: array([[-4.45160533e-02, -0.00000000e+00, -3.15242455e-04],
[ 0.00000000e+00, 0.00000000e+00, 1.22553366e+02],
[-7.47767379e-03, 1.01827316e+00, -6.61036969e-04]])
fopt: 0.6995755665522546
fun: -0.6994154452852462
message: 'Optimization terminated successfully.'
nfev: 861
nit: 9
status: 0
success: True
x: array([188.92335088, 5.02640378, 220.14783769])
xopt: array([188., 6., 220.])
zopt: array([188., 194., 414.])
*******************************************
Period: 28
direc: array([[1.88915418e-08, 6.72011155e-11, 1.36101046e-10],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00]])
fopt: 0.17522713118322555
fun: -0.17452631323441178
message: 'Optimization terminated successfully.'
nfev: 565
nit: 6
status: 0
success: True
x: array([282.11946799, 7. , 5.05707722])
xopt: array([282., 8., 6.])
zopt: array([282., 290., 296.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 2.00000003, 4.00401576],
[ 0. , -123.66905709, 69.12622768]])
fopt: 0.17588250325731394
fun: -0.6027679760152191
message: 'Optimization terminated successfully.'
nfev: 467
nit: 8
status: 0
success: True
x: array([281.02872512, -85.66602445, 217. ])
xopt: array([281., 0., 217.])
zopt: array([281., 281., 498.])
*******************************************
Period: 30
direc: array([[3.55505768e-04, 1.26466694e-06, 2.56352629e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.43659559e-13, 2.64547511e-15, 2.09184555e-09]])
fopt: 0.16937832343975573
fun: -0.16954072408139953
message: 'Optimization terminated successfully.'
nfev: 667
nit: 5
status: 0
success: True
x: array([282.10659514, 3.00000126, 4.02703925])
xopt: array([282., 4., 5.])
zopt: array([282., 286., 291.])
*******************************************
Period: 31
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 43.54666164, 81.2026205 ]])
fopt: 0.2999952718934616
fun: -0.29758512433031
message: 'Optimization terminated successfully.'
nfev: 287
nit: 4
status: 0
success: True
x: array([282.42260724, 45.00000042, 86.1977471 ])
xopt: array([282., 45., 87.])
zopt: array([282., 327., 414.])
*******************************************
Period: 32
direc: array([[ 0. , 0. , 0. ],
[ 0. , 2.00000003, 4.02444929],
[ 0. , -118.65364694, 78.88110418]])
fopt: 0.23621075582790194
fun: -0.5716521765123616
message: 'Optimization terminated successfully.'
nfev: 392
nit: 6
status: 0
success: True
x: array([283.79554943, -83.10513947, 198.00000001])
xopt: array([283., 0., 198.])
zopt: array([283., 283., 481.])
*******************************************
Period: 33
direc: array([[ -2.54358698, 0. , 2.00000003],
[ -1.78022273, 0.13912765, 2.01459082],
[-18.53601487, 6.28359807, 21.01315638]])
fopt: 0.48674607623199195
fun: -0.478219237823354
message: 'Optimization terminated successfully.'
nfev: 531
nit: 7
status: 0
success: True
x: array([163.29750309, 7.42820869, 150.00001872])
xopt: array([164., 8., 151.])
zopt: array([164., 172., 323.])
*******************************************
Period: 34
direc: array([[ 0.54635814, 1.00194528, 1.01390464],
[ 0. , 1. , 0. ],
[ 6.22762633, 34.21747016, 23.06934013]])
fopt: 0.2784551446401477
fun: -0.27738642440396627
message: 'Optimization terminated successfully.'
nfev: 498
nit: 6
status: 0
success: True
x: array([292.82751089, 59.00803535, 42.62364951])
xopt: array([292., 59., 43.])
zopt: array([292., 351., 394.])
*******************************************
Period: 35
direc: array([[ -0.17690529, 0. , 1. ],
[-151.34596317, 0. , 138.3821391 ],
[ -7.82024323, 44.20639464, 44.20630165]])
fopt: 0.710291920209965
fun: -0.7090838313125215
message: 'Optimization terminated successfully.'
nfev: 573
nit: 7
status: 0
success: True
x: array([144.96008779, 48.03991697, 220.00000003])
xopt: array([145., 49., 220.])
zopt: array([145., 194., 414.])
*******************************************
Period: 36
direc: array([[ 0.9763912 , 1.00346947, 1.00706574],
[ 0. , 1. , 0. ],
[26.27289345, 40.46021259, 27.05636115]])
fopt: 0.26232773973834084
fun: -0.2608300112492241
message: 'Optimization terminated successfully.'
nfev: 373
nit: 4
status: 0
success: True
x: array([311.61936842, 46.46059507, 33.10405955])
xopt: array([311., 46., 34.])
zopt: array([311., 357., 391.])
*******************************************
Period: 37
direc: array([[-1.63018539, 0. , 2.0070627 ],
[ 0. , 0. , 0. ],
[-1.63018539, 1. , 2.0070627 ]])
fopt: 0.6644670956810607
fun: -0.6624370325878746
message: 'Optimization terminated successfully.'
nfev: 694
nit: 10
status: 0
success: True
x: array([170.5690625 , 15.0410919 , 220.05085111])
xopt: array([171., 16., 220.])
zopt: array([171., 187., 407.])
*******************************************
Period: 38
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 8.18698779, 7.08496319, 52.09893988]])
fopt: 0.6710787112437133
fun: -0.670757924696508
message: 'Optimization terminated successfully.'
nfev: 481
nit: 7
status: 0
success: True
x: array([187.98666029, 8.09950818, 218.06012465])
xopt: array([187., 9., 218.])
zopt: array([187., 196., 414.])
*******************************************
Period: 39
direc: array([[-1.47739608e+01, 6.01357950e+00, 6.01357950e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.96998148e-10, 3.21959851e-04, -2.32388794e+00]])
fopt: 0.758400502661329
fun: -0.758066322712667
message: 'Optimization terminated successfully.'
nfev: 567
nit: 8
status: 0
success: True
x: array([ 87.59768042, 106.0364551 , 216.0034647 ])
xopt: array([ 87., 106., 216.])
zopt: array([ 87., 193., 409.])
*******************************************
Period: 40
direc: array([[-249.45339675, 139.38196651, 92.921311 ],
[ 0. , 1. , 0. ],
[ 8.33982611, 45.17867663, 15.65710929]])
fopt: 0.6356762629492381
fun: -0.6343226891733944
message: 'Optimization terminated successfully.'
nfev: 671
nit: 9
status: 0
success: True
x: array([ 82.1250773 , 212. , 122.27625202])
xopt: array([ 82., 212., 123.])
zopt: array([ 82., 294., 417.])
*******************************************
Period: 41
direc: array([[-2.24809133e+01, 1.10489557e+01, 1.10489557e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.29868189e-05, 2.40521242e+01, 4.84083379e+01]])
fopt: 0.6848482028121228
fun: -0.6836482221689575
message: 'Optimization terminated successfully.'
nfev: 525
nit: 8
status: 0
success: True
x: array([ 83.36971671, 153. , 181.35630813])
xopt: array([ 83., 153., 181.])
zopt: array([ 83., 236., 417.])
*******************************************
Period: 42
direc: array([[-2.24443270e+02, 9.69968806e+01, 1.06992982e+02],
[ 2.90855171e-04, 1.12849769e+01, 2.85270666e+01],
[ 5.03822236e-05, 9.91151536e-01, 4.93102936e+00]])
fopt: 0.6893319024715339
fun: -0.6874859802004157
message: 'Optimization terminated successfully.'
nfev: 831
nit: 12
status: 0
success: True
x: array([ 81.13933531, 138.35189411, 197. ])
xopt: array([ 82., 138., 197.])
zopt: array([ 82., 220., 417.])
*******************************************
Period: 43
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.24891009e-04, 9.99999772e-01, -1.48158591e-07],
[-1.49229445e-04, 2.60695028e+00, 2.74890159e-06]])
fopt: 0.6029658151509211
fun: -0.6029635723392893
message: 'Optimization terminated successfully.'
nfev: 1776
nit: 22
status: 0
success: True
x: array([ 81.99748707, 220.00045351, 103.0056279 ])
xopt: array([ 82., 220., 103.])
zopt: array([ 82., 302., 405.])
*******************************************
Period: 44
direc: array([[-1.64064573e-05, 7.49508346e-11, 4.46606837e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.47283361e+00, 1.00000000e+00, 4.46606777e-05]])
fopt: 0.6392556391645331
fun: -0.6393449930156307
message: 'Optimization terminated successfully.'
nfev: 770
nit: 10
status: 0
success: True
x: array([189.09630266, 9.12887953, 216.00000294])
xopt: array([189., 9., 217.])
zopt: array([189., 198., 415.])
*******************************************
Period: 45
direc: array([[-7.54501097e+00, 1.30713679e+01, 2.44129606e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.09420952e-11, -6.57653491e-16, 0.00000000e+00]])
fopt: 0.7288039712891728
fun: -0.7286419668650139
message: 'Optimization terminated successfully.'
nfev: 517
nit: 7
status: 0
success: True
x: array([ 85.34374856, 116.00003785, 224.01606006])
xopt: array([ 85., 116., 225.])
zopt: array([ 85., 201., 426.])
*******************************************
Period: 46
direc: array([[-8.08728160e+00, 4.04364081e+00, 8.16104710e+00],
[-3.54177477e+00, 1.00139342e+00, 2.81225471e-03],
[-1.52425250e-06, 1.01118304e+00, 1.62209858e-06]])
fopt: 0.7199127779762601
fun: -0.71920932605163
message: 'Optimization terminated successfully.'
nfev: 922
nit: 13
status: 0
success: True
x: array([ 84.52868898, 116.00000058, 234.11378121])
xopt: array([ 85., 116., 234.])
zopt: array([ 85., 201., 435.])
*******************************************
Period: 47
direc: array([[-227.79948254, 126.28164626, 75.87991843],
[ 0. , 1. , 0. ],
[ 3.40133825, 43.26074366, 20.90329942]])
fopt: 0.6116077160059332
fun: -0.6100475062790092
message: 'Optimization terminated successfully.'
nfev: 616
nit: 9
status: 0
success: True
x: array([ 82.92478623, 212. , 122.32552271])
xopt: array([ 82., 212., 123.])
zopt: array([ 82., 294., 417.])
*******************************************
Period: 48
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-3.6916891 , 5.79361001, 9.09491718]])
fopt: 0.7032511889320743
fun: -0.7020971772230216
message: 'Optimization terminated successfully.'
nfev: 485
nit: 8
status: 0
success: True
x: array([ 81.99907618, 120.00118402, 219.30522418])
xopt: array([ 82., 120., 220.])
zopt: array([ 82., 202., 422.])
*******************************************
Period: 49
direc: array([[-4.13930444e+01, 4.00148591e+01, 2.66765727e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.24617312e-03, 1.41979246e-04, 4.81319082e-08]])
fopt: 0.6011953475459877
fun: -0.5999289277752129
message: 'Optimization terminated successfully.'
nfev: 383
nit: 6
status: 0
success: True
x: array([ 81.9999775 , 212.00000487, 141.79184576])
xopt: array([ 82., 212., 141.])
zopt: array([ 82., 294., 435.])
*******************************************
Period: 50
direc: array([[ 1.88064243e+00, -1.99394316e+00, 1.02435780e+00],
[-2.97687345e+02, 1.56017543e+02, 1.56017543e+02],
[ 1.11870225e-02, -1.18599206e-02, 1.18338723e-02]])
fopt: 0.656837303636406
fun: -0.6560835219139273
message: 'Optimization terminated successfully.'
nfev: 1192
nit: 16
status: 0
success: True
x: array([ 84.20663012, 151. , 182.03621204])
xopt: array([ 84., 151., 183.])
zopt: array([ 84., 235., 418.])
*******************************************
Period: 51
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.94942692e+02, 1.58172004e+02, 1.08138628e+02],
[-1.15195540e-02, 9.99931334e-01, -4.69453323e-05]])
fopt: 0.549350959506339
fun: -0.547142257557214
message: 'Optimization terminated successfully.'
nfev: 478
nit: 7
status: 0
success: True
x: array([ 82.00015834, 168.00000001, 113.15328106])
xopt: array([ 82., 169., 114.])
zopt: array([ 82., 251., 365.])
*******************************************
Period: 52
direc: array([[-1.24628526e+01, 6.00000008e+00, 6.00000008e+00],
[-2.05939673e-07, -2.20996551e-05, -4.67225780e-05],
[ 0.00000000e+00, 1.40678766e+01, -3.99833100e-13]])
fopt: 0.6276811178617133
fun: -0.6274087108767987
message: 'Optimization terminated successfully.'
nfev: 1167
nit: 13
status: 0
success: True
x: array([ 82.72026212, 171.00000047, 151. ])
xopt: array([ 83., 171., 152.])
zopt: array([ 83., 254., 406.])
*******************************************
Period: 53
direc: array([[ 1. , 0. , 0. ],
[-281.81235842, 164.54119078, 94.02353759],
[ 0.99 , 0.9801 , 0. ]])
fopt: 0.5537380953653638
fun: -0.5491975490402914
message: 'Optimization terminated successfully.'
nfev: 457
nit: 7
status: 0
success: True
x: array([ 87.94633987, 184.00378634, 103.0316056 ])
xopt: array([ 87., 185., 104.])
zopt: array([ 87., 272., 376.])
*******************************************
Period: 54
direc: array([[ -7.56055521, 2.98912839, 1.99912839],
[ 0. , 1. , 0. ],
[-284.62690675, 261.39130698, 130.90174346]])
fopt: 0.6092690043050777
fun: -0.6084642664672993
message: 'Optimization terminated successfully.'
nfev: 386
nit: 6
status: 0
success: True
x: array([ 82.03575557, 183.04183882, 139.32126858])
xopt: array([ 83., 183., 140.])
zopt: array([ 83., 266., 406.])
*******************************************
Period: 55
direc: array([[-1.54394123e+01, 9.07900986e+00, 6.05267324e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.20685684e-08, 9.99999993e-01, -4.73120565e-09]])
fopt: 0.5839067576439644
fun: -0.5816461621952835
message: 'Optimization terminated successfully.'
nfev: 587
nit: 8
status: 0
success: True
x: array([ 82.55494357, 188.00556675, 123.15977315])
xopt: array([ 83., 189., 124.])
zopt: array([ 83., 272., 396.])
*******************************************
Period: 56
direc: array([[ 1. , 0. , 0. ],
[-295.25348429, 134.94930978, 92.16250417],
[ -7.69985834, 50.21582322, 0. ]])
fopt: 0.5776586452818852
fun: -0.5772774236307688
message: 'Optimization terminated successfully.'
nfev: 974
nit: 12
status: 0
success: True
x: array([ 86.00000142, 214. , 108.06430472])
xopt: array([ 86., 214., 109.])
zopt: array([ 86., 300., 409.])
*******************************************
Period: 57
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-287.13932063, 167.4493538 , 95.68534503]])
fopt: 0.5718898212149182
fun: -0.5707761860042007
message: 'Optimization terminated successfully.'
nfev: 436
nit: 7
status: 0
success: True
x: array([ 86.00002265, 217.00000001, 111.01477295])
xopt: array([ 86., 218., 112.])
zopt: array([ 86., 304., 416.])
*******************************************
Period: 58
direc: array([[-8.55074533e+00, 3.00000000e+00, 2.00000000e+00],
[-2.79565645e+02, 1.62137512e+02, 9.26500071e+01],
[ 3.10347326e-06, 9.99998202e-01, -1.02760625e-06]])
fopt: 0.5173245131411273
fun: -0.513530607260963
message: 'Optimization terminated successfully.'
nfev: 829
nit: 10
status: 0
success: True
x: array([ 81.37087463, 182.00005767, 102.23488497])
xopt: array([ 82., 183., 103.])
zopt: array([ 82., 265., 368.])
*******************************************
Period: 59
direc: array([[-9.09911668e+00, 2.97871377e+00, 2.00000000e+00],
[-2.91177323e+02, 1.66077664e+02, 8.35481044e+01],
[ 1.29813604e-03, 9.99261828e-01, -3.71857699e-04]])
fopt: 0.49118291907095285
fun: -0.4883020265874042
message: 'Optimization terminated successfully.'
nfev: 561
nit: 7
status: 0
success: True
x: array([ 83.28056791, 178.00155252, 90.00728993])
xopt: array([ 84., 179., 91.])
zopt: array([ 84., 263., 354.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8t01daw9.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdyymkgkb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.215569
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 0.705007 0.215569
Optimal solution found (tolerance 1.00e-02)
Best objective 7.050068507085e-01, best bound 7.050068507085e-01, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_9mafv2g.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6_v00of7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.204084
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 7.279583e-01, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 0.7279583 0.72796 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.727958 0.204084
Optimal solution found (tolerance 1.00e-02)
Best objective 7.279583099967e-01, best bound 7.279583099967e-01, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpht47wlgj.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpao95sgc8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.252382
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 1.457868e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45787 0 6 0.25238 1.45787 478% - 0s
H 0 0 1.1946747 1.45787 22.0% - 0s
0 0 1.29228 0 1 1.19467 1.29228 8.17% - 0s
Cutting planes:
Gomory: 4
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (31 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.19467 0.252382
Optimal solution found (tolerance 1.00e-02)
Best objective 1.194674665253e+00, best bound 1.194674665253e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprc0vhoyg.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfmztb_3v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.804086
Presolve removed 147 rows and 104 columns
Presolve time: 0.00s
Presolved: 44 rows, 38 columns, 147 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 1.204554e+00, 23 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06720 0 3 0.80409 1.06720 32.7% - 0s
H 0 0 0.9882865 1.06720 7.98% - 0s
0 0 cutoff 0 0.98829 0.98829 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (25 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.988287 0.804086
Optimal solution found (tolerance 1.00e-02)
Best objective 9.882865125391e-01, best bound 9.882865125391e-01, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9iqph7k6.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8vflfe9e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.680499
Presolve removed 145 rows and 100 columns
Presolve time: 0.01s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 1.445326e+00, 52 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44533 0 3 0.68050 1.44533 112% - 0s
H 0 0 0.9317810 1.44533 55.1% - 0s
H 0 0 1.1915797 1.44533 21.3% - 0s
0 0 1.22498 0 1 1.19158 1.22498 2.80% - 0s
0 0 cutoff 0 1.19158 1.19158 0.00% - 0s
Cutting planes:
Flow cover: 2
Explored 1 nodes (69 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.19158 0.931781 0.680499
Optimal solution found (tolerance 1.00e-02)
Best objective 1.191579715842e+00, best bound 1.191579715842e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0whzp9f1.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo3k7zy8f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.828302
Presolve removed 136 rows and 91 columns
Presolve time: 0.01s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.248705e+00, 92 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24870 0 12 0.82830 2.24870 171% - 0s
0 0 1.76483 0 7 0.82830 1.76483 113% - 0s
0 0 1.76274 0 7 0.82830 1.76274 113% - 0s
0 0 1.75639 0 8 0.82830 1.75639 112% - 0s
0 0 1.71900 0 9 0.82830 1.71900 108% - 0s
0 0 1.70033 0 9 0.82830 1.70033 105% - 0s
0 0 1.68826 0 9 0.82830 1.68826 104% - 0s
0 0 1.68524 0 9 0.82830 1.68524 103% - 0s
0 0 1.67678 0 10 0.82830 1.67678 102% - 0s
0 0 1.67666 0 10 0.82830 1.67666 102% - 0s
0 0 1.67666 0 8 0.82830 1.67666 102% - 0s
H 0 0 1.1692089 1.67666 43.4% - 0s
0 2 1.67666 0 8 1.16921 1.67666 43.4% - 0s
H 3 6 1.3054440 1.65579 26.8% 3.3 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 4
Flow cover: 10
Explored 16 nodes (234 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.30544 1.16921 0.828302
Optimal solution found (tolerance 1.00e-02)
Best objective 1.305443953547e+00, best bound 1.305443953547e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjc65wcus.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps0p4lrhx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.992099
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.302978e+00, 114 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.30298 0 16 0.99210 2.30298 132% - 0s
H 0 0 1.2373327 2.30298 86.1% - 0s
0 0 2.05649 0 21 1.23733 2.05649 66.2% - 0s
0 0 2.05249 0 21 1.23733 2.05249 65.9% - 0s
0 0 1.82334 0 20 1.23733 1.82334 47.4% - 0s
0 0 1.80796 0 24 1.23733 1.80796 46.1% - 0s
0 0 1.79222 0 20 1.23733 1.79222 44.8% - 0s
0 0 1.78332 0 18 1.23733 1.78332 44.1% - 0s
0 0 1.78033 0 24 1.23733 1.78033 43.9% - 0s
0 0 1.77697 0 24 1.23733 1.77697 43.6% - 0s
0 0 1.77663 0 24 1.23733 1.77663 43.6% - 0s
0 0 1.77408 0 24 1.23733 1.77408 43.4% - 0s
0 0 1.77408 0 24 1.23733 1.77408 43.4% - 0s
0 0 1.77336 0 24 1.23733 1.77336 43.3% - 0s
0 0 1.77336 0 17 1.23733 1.77336 43.3% - 0s
0 2 1.77336 0 17 1.23733 1.77336 43.3% - 0s
* 50 7 11 1.3790171 1.39566 1.21% 4.2 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 4
MIR: 7
Flow cover: 17
Explored 65 nodes (572 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.37902 1.23733 0.992099
Optimal solution found (tolerance 1.00e-02)
Best objective 1.379017134471e+00, best bound 1.379017134471e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmperq0r6xt.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7ft4_h6m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1481
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.181983e+00, 139 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.18198 0 20 1.14810 2.18198 90.1% - 0s
0 0 1.84262 0 24 1.14810 1.84262 60.5% - 0s
0 0 1.83899 0 24 1.14810 1.83899 60.2% - 0s
0 0 1.83811 0 23 1.14810 1.83811 60.1% - 0s
0 0 1.83288 0 24 1.14810 1.83288 59.6% - 0s
0 0 1.67216 0 15 1.14810 1.67216 45.6% - 0s
0 0 1.67153 0 16 1.14810 1.67153 45.6% - 0s
0 0 1.67153 0 16 1.14810 1.67153 45.6% - 0s
0 0 1.65085 0 19 1.14810 1.65085 43.8% - 0s
0 0 1.65011 0 19 1.14810 1.65011 43.7% - 0s
0 0 1.64898 0 19 1.14810 1.64898 43.6% - 0s
0 0 1.64898 0 19 1.14810 1.64898 43.6% - 0s
0 0 1.64664 0 19 1.14810 1.64664 43.4% - 0s
0 0 1.64638 0 19 1.14810 1.64638 43.4% - 0s
0 0 1.63534 0 19 1.14810 1.63534 42.4% - 0s
0 0 1.63168 0 19 1.14810 1.63168 42.1% - 0s
0 0 1.63128 0 19 1.14810 1.63128 42.1% - 0s
0 0 1.62790 0 19 1.14810 1.62790 41.8% - 0s
0 0 1.62504 0 19 1.14810 1.62504 41.5% - 0s
0 0 1.62356 0 19 1.14810 1.62356 41.4% - 0s
0 0 1.62356 0 19 1.14810 1.62356 41.4% - 0s
0 0 1.62051 0 17 1.14810 1.62051 41.1% - 0s
0 0 1.61943 0 18 1.14810 1.61943 41.1% - 0s
0 0 1.61915 0 19 1.14810 1.61915 41.0% - 0s
0 0 1.61911 0 19 1.14810 1.61911 41.0% - 0s
0 0 1.61911 0 15 1.14810 1.61911 41.0% - 0s
0 2 1.61911 0 15 1.14810 1.61911 41.0% - 0s
* 42 6 11 1.2743714 1.37825 8.15% 5.1 0s
Cutting planes:
Gomory: 5
Implied bound: 5
MIR: 3
Flow cover: 20
Explored 54 nodes (619 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.27437 1.1481
Optimal solution found (tolerance 1.00e-02)
Best objective 1.274371421350e+00, best bound 1.274371421350e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpca16_o0s.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpozdgsv5d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0206
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.354217e+00, 175 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.35422 0 20 1.02060 2.35422 131% - 0s
0 0 2.02127 0 26 1.02060 2.02127 98.0% - 0s
0 0 2.01803 0 26 1.02060 2.01803 97.7% - 0s
0 0 2.01725 0 26 1.02060 2.01725 97.7% - 0s
0 0 2.01432 0 27 1.02060 2.01432 97.4% - 0s
0 0 1.86653 0 14 1.02060 1.86653 82.9% - 0s
0 0 1.86648 0 18 1.02060 1.86648 82.9% - 0s
0 0 1.84972 0 20 1.02060 1.84972 81.2% - 0s
0 0 1.84798 0 22 1.02060 1.84798 81.1% - 0s
0 0 1.84504 0 20 1.02060 1.84504 80.8% - 0s
0 0 1.84199 0 16 1.02060 1.84199 80.5% - 0s
0 0 1.84199 0 16 1.02060 1.84199 80.5% - 0s
0 0 1.83885 0 15 1.02060 1.83885 80.2% - 0s
0 0 1.83865 0 18 1.02060 1.83865 80.2% - 0s
0 0 1.83852 0 16 1.02060 1.83852 80.1% - 0s
0 0 1.83852 0 16 1.02060 1.83852 80.1% - 0s
0 2 1.83852 0 16 1.02060 1.83852 80.1% - 0s
* 56 23 17 1.3248112 1.60168 20.9% 6.8 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 8
Clique: 1
MIR: 3
Flow cover: 30
Explored 98 nodes (977 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32481 1.0206
Optimal solution found (tolerance 1.00e-02)
Best objective 1.324811220082e+00, best bound 1.324811220082e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsk8fshbz.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_nx5vcwz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1354
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.222810e+00, 181 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22281 0 24 1.13540 2.22281 95.8% - 0s
0 0 1.88882 0 36 1.13540 1.88882 66.4% - 0s
0 0 1.88878 0 33 1.13540 1.88878 66.4% - 0s
0 0 1.85247 0 40 1.13540 1.85247 63.2% - 0s
0 0 1.84852 0 41 1.13540 1.84852 62.8% - 0s
0 0 1.84741 0 40 1.13540 1.84741 62.7% - 0s
0 0 1.82535 0 40 1.13540 1.82535 60.8% - 0s
0 0 1.82491 0 40 1.13540 1.82491 60.7% - 0s
0 0 1.82491 0 40 1.13540 1.82491 60.7% - 0s
0 0 1.81225 0 40 1.13540 1.81225 59.6% - 0s
0 0 1.81084 0 40 1.13540 1.81084 59.5% - 0s
0 0 1.80966 0 40 1.13540 1.80966 59.4% - 0s
0 0 1.80556 0 39 1.13540 1.80556 59.0% - 0s
0 0 1.80556 0 40 1.13540 1.80556 59.0% - 0s
0 0 1.80495 0 43 1.13540 1.80495 59.0% - 0s
0 0 1.80495 0 43 1.13540 1.80495 59.0% - 0s
0 2 1.80495 0 38 1.13540 1.80495 59.0% - 0s
* 40 21 16 1.2713401 1.54918 21.9% 9.4 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 7
Clique: 1
MIR: 9
Flow cover: 28
Explored 93 nodes (1159 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.27134 1.1354
Optimal solution found (tolerance 1.00e-02)
Best objective 1.271340067544e+00, best bound 1.271340067544e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbvuzwy43.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpovk6slcz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12438
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.148953e+00, 202 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14895 0 23 1.12438 2.14895 91.1% - 0s
0 0 1.80993 0 35 1.12438 1.80993 61.0% - 0s
0 0 1.80786 0 35 1.12438 1.80786 60.8% - 0s
0 0 1.80646 0 35 1.12438 1.80646 60.7% - 0s
0 0 1.80428 0 36 1.12438 1.80428 60.5% - 0s
0 0 1.68191 0 19 1.12438 1.68191 49.6% - 0s
0 0 1.67712 0 17 1.12438 1.67712 49.2% - 0s
0 0 1.66826 0 22 1.12438 1.66826 48.4% - 0s
0 0 1.66256 0 26 1.12438 1.66256 47.9% - 0s
0 0 1.65961 0 26 1.12438 1.65961 47.6% - 0s
0 0 1.65750 0 20 1.12438 1.65750 47.4% - 0s
0 0 1.65543 0 24 1.12438 1.65543 47.2% - 0s
0 0 1.65543 0 24 1.12438 1.65543 47.2% - 0s
0 2 1.65543 0 24 1.12438 1.65543 47.2% - 0s
* 96 8 19 1.2184999 1.39223 14.3% 7.2 0s
Cutting planes:
Gomory: 7
Cover: 3
Implied bound: 9
MIR: 9
Flow cover: 29
Explored 129 nodes (1267 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.2185 1.12438
Optimal solution found (tolerance 1.00e-02)
Best objective 1.218499890308e+00, best bound 1.218499890308e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcmn74sqi.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3m9j6c5m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08244
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.024668e+00, 237 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02467 0 32 1.08244 2.02467 87.0% - 0s
0 0 1.67186 0 38 1.08244 1.67186 54.5% - 0s
0 0 1.66994 0 38 1.08244 1.66994 54.3% - 0s
0 0 1.66866 0 37 1.08244 1.66866 54.2% - 0s
0 0 1.66716 0 38 1.08244 1.66716 54.0% - 0s
0 0 1.62431 0 37 1.08244 1.62431 50.1% - 0s
0 0 1.62423 0 36 1.08244 1.62423 50.1% - 0s
0 0 1.61898 0 43 1.08244 1.61898 49.6% - 0s
0 0 1.61569 0 41 1.08244 1.61569 49.3% - 0s
0 0 1.61517 0 41 1.08244 1.61517 49.2% - 0s
0 0 1.61492 0 40 1.08244 1.61492 49.2% - 0s
0 0 1.61492 0 40 1.08244 1.61492 49.2% - 0s
0 0 1.61324 0 39 1.08244 1.61324 49.0% - 0s
0 0 1.61324 0 39 1.08244 1.61324 49.0% - 0s
0 2 1.61324 0 39 1.08244 1.61324 49.0% - 0s
* 109 33 26 1.1478159 1.35365 17.9% 7.2 0s
Cutting planes:
Gomory: 8
Cover: 3
Implied bound: 12
MIR: 10
Flow cover: 29
Explored 156 nodes (1593 simplex iterations) in 0.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.14782 1.08244
Optimal solution found (tolerance 1.00e-02)
Best objective 1.147815872024e+00, best bound 1.147815872024e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvrmw57is.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptterc1gw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03525
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 1.964699e+00, 277 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96470 0 27 1.03525 1.96470 89.8% - 0s
0 0 1.62603 0 36 1.03525 1.62603 57.1% - 0s
0 0 1.62427 0 37 1.03525 1.62427 56.9% - 0s
0 0 1.62310 0 37 1.03525 1.62310 56.8% - 0s
0 0 1.62179 0 38 1.03525 1.62179 56.7% - 0s
0 0 1.58122 0 36 1.03525 1.58122 52.7% - 0s
0 0 1.58117 0 36 1.03525 1.58117 52.7% - 0s
0 0 1.57248 0 39 1.03525 1.57248 51.9% - 0s
0 0 1.57056 0 39 1.03525 1.57056 51.7% - 0s
0 0 1.56930 0 36 1.03525 1.56930 51.6% - 0s
0 0 1.56875 0 39 1.03525 1.56875 51.5% - 0s
0 0 1.56788 0 43 1.03525 1.56788 51.4% - 0s
0 0 1.56788 0 43 1.03525 1.56788 51.4% - 0s
0 0 1.56603 0 39 1.03525 1.56603 51.3% - 0s
0 0 1.56603 0 36 1.03525 1.56603 51.3% - 0s
0 2 1.56603 0 36 1.03525 1.56603 51.3% - 0s
* 74 25 29 1.1158342 1.36085 22.0% 9.2 0s
Cutting planes:
Gomory: 8
Cover: 3
Implied bound: 10
MIR: 11
Flow cover: 26
Explored 171 nodes (1927 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.11583 1.03525
Optimal solution found (tolerance 1.00e-02)
Best objective 1.115834203071e+00, best bound 1.115834203071e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp52bdqur9.pyomo.lp
Reading time = 0.01 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9z78lf1i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.989577
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 1.969027e+00, 292 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96903 0 32 0.98958 1.96903 99.0% - 0s
0 0 1.64806 0 31 0.98958 1.64806 66.5% - 0s
0 0 1.64633 0 31 0.98958 1.64633 66.4% - 0s
0 0 1.64526 0 29 0.98958 1.64526 66.3% - 0s
0 0 1.64278 0 31 0.98958 1.64278 66.0% - 0s
0 0 1.62487 0 41 0.98958 1.62487 64.2% - 0s
0 0 1.59374 0 38 0.98958 1.59374 61.1% - 0s
0 0 1.58385 0 41 0.98958 1.58385 60.1% - 0s
0 0 1.57288 0 37 0.98958 1.57288 58.9% - 0s
0 0 1.57193 0 39 0.98958 1.57193 58.8% - 0s
0 0 1.56780 0 46 0.98958 1.56780 58.4% - 0s
0 0 1.56496 0 45 0.98958 1.56496 58.1% - 0s
0 0 1.56462 0 45 0.98958 1.56462 58.1% - 0s
0 0 1.55826 0 44 0.98958 1.55826 57.5% - 0s
0 0 1.55696 0 44 0.98958 1.55696 57.3% - 0s
0 0 1.55695 0 44 0.98958 1.55695 57.3% - 0s
0 0 1.55616 0 44 0.98958 1.55616 57.3% - 0s
0 0 1.55616 0 44 0.98958 1.55616 57.3% - 0s
0 2 1.55616 0 44 0.98958 1.55616 57.3% - 0s
* 98 47 35 1.0690697 1.46096 36.7% 10.5 0s
* 459 0 28 1.0723530 1.15985 8.16% 7.2 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 12
Clique: 1
MIR: 10
Flow cover: 45
Inf proof: 4
Explored 503 nodes (4186 simplex iterations) in 0.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07235 1.06907 0.989577
Optimal solution found (tolerance 1.00e-02)
Best objective 1.072353034147e+00, best bound 1.072353034147e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiu5yihtj.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfw8_gfc7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95988
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.085941e+00, 359 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08594 0 51 0.95988 2.08594 117% - 0s
0 0 1.79895 0 47 0.95988 1.79895 87.4% - 0s
0 0 1.79719 0 47 0.95988 1.79719 87.2% - 0s
0 0 1.79630 0 49 0.95988 1.79630 87.1% - 0s
0 0 1.79283 0 47 0.95988 1.79283 86.8% - 0s
0 0 1.75967 0 54 0.95988 1.75967 83.3% - 0s
0 0 1.75661 0 56 0.95988 1.75661 83.0% - 0s
0 0 1.75531 0 56 0.95988 1.75531 82.9% - 0s
0 0 1.75531 0 56 0.95988 1.75531 82.9% - 0s
0 0 1.73932 0 59 0.95988 1.73932 81.2% - 0s
0 0 1.73339 0 60 0.95988 1.73339 80.6% - 0s
0 0 1.73325 0 60 0.95988 1.73325 80.6% - 0s
0 0 1.73220 0 57 0.95988 1.73220 80.5% - 0s
0 0 1.73220 0 57 0.95988 1.73220 80.5% - 0s
0 0 1.73220 0 57 0.95988 1.73220 80.5% - 0s
0 0 1.73220 0 37 0.95988 1.73220 80.5% - 0s
0 2 1.73220 0 37 0.95988 1.73220 80.5% - 0s
* 127 79 42 1.1109182 1.54120 38.7% 8.0 0s
* 625 84 36 1.1135729 1.28298 15.2% 6.9 0s
Cutting planes:
Gomory: 18
Cover: 2
Implied bound: 11
MIR: 6
Flow cover: 30
Flow path: 2
Inf proof: 9
Explored 1019 nodes (7136 simplex iterations) in 0.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.11357 1.11092 0.95988
Optimal solution found (tolerance 1.00e-02)
Best objective 1.113572881426e+00, best bound 1.113572881426e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7gquhmnd.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpffjhmbws.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0255
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 1.980752e+00, 342 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98075 0 69 1.02550 1.98075 93.1% - 0s
0 0 1.70088 0 66 1.02550 1.70088 65.9% - 0s
0 0 1.70083 0 66 1.02550 1.70083 65.9% - 0s
0 0 1.67151 0 60 1.02550 1.67151 63.0% - 0s
0 0 1.66515 0 64 1.02550 1.66515 62.4% - 0s
0 0 1.66428 0 61 1.02550 1.66428 62.3% - 0s
0 0 1.66416 0 61 1.02550 1.66416 62.3% - 0s
0 0 1.65178 0 64 1.02550 1.65178 61.1% - 0s
0 0 1.65149 0 65 1.02550 1.65149 61.0% - 0s
0 0 1.65149 0 66 1.02550 1.65149 61.0% - 0s
0 0 1.65069 0 71 1.02550 1.65069 61.0% - 0s
0 0 1.65069 0 54 1.02550 1.65069 61.0% - 0s
0 2 1.65069 0 53 1.02550 1.65069 61.0% - 0s
* 435 144 38 1.0441577 1.32655 27.0% 6.7 0s
* 617 182 41 1.0452599 1.30708 25.0% 6.8 0s
* 1264 234 41 1.0551489 1.18215 12.0% 6.3 0s
Cutting planes:
Gomory: 19
Cover: 4
Implied bound: 27
Clique: 1
MIR: 11
Flow cover: 33
Flow path: 2
Inf proof: 19
Explored 1760 nodes (12125 simplex iterations) in 1.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.05515 1.04526 1.04416 1.0255
Optimal solution found (tolerance 1.00e-02)
Best objective 1.055148882577e+00, best bound 1.060162743709e+00, gap 0.4752%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxfzsmdi_.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe6fj75ki.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.976085
Presolve removed 286 rows and 181 columns
Presolve time: 0.02s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.911538e+00, 430 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91154 0 41 0.97608 1.91154 95.8% - 0s
0 0 1.66068 0 40 0.97608 1.66068 70.1% - 0s
0 0 1.65932 0 40 0.97608 1.65932 70.0% - 0s
0 0 1.65842 0 39 0.97608 1.65842 69.9% - 0s
0 0 1.65766 0 41 0.97608 1.65766 69.8% - 0s
0 0 1.62238 0 45 0.97608 1.62238 66.2% - 0s
0 0 1.61559 0 50 0.97608 1.61559 65.5% - 0s
0 0 1.61559 0 50 0.97608 1.61559 65.5% - 0s
0 0 1.60977 0 57 0.97608 1.60977 64.9% - 0s
0 0 1.60805 0 63 0.97608 1.60805 64.7% - 0s
0 0 1.60649 0 61 0.97608 1.60649 64.6% - 0s
0 0 1.60649 0 61 0.97608 1.60649 64.6% - 0s
0 0 1.60296 0 61 0.97608 1.60296 64.2% - 0s
0 0 1.60220 0 63 0.97608 1.60220 64.1% - 0s
0 0 1.60188 0 63 0.97608 1.60188 64.1% - 0s
0 0 1.60131 0 63 0.97608 1.60131 64.1% - 0s
0 0 1.60131 0 46 0.97608 1.60131 64.1% - 0s
0 2 1.59942 0 44 0.97608 1.59942 63.9% - 0s
* 216 95 50 1.0277736 1.39464 35.7% 7.5 0s
Cutting planes:
Gomory: 11
Cover: 13
Implied bound: 34
MIR: 16
Flow cover: 40
Flow path: 1
Inf proof: 30
Explored 2197 nodes (16067 simplex iterations) in 1.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.02777 0.976085
Optimal solution found (tolerance 1.00e-02)
Best objective 1.027773570459e+00, best bound 1.027922643277e+00, gap 0.0145%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk0oh5_i9.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmh11nuwe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929065
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.927049e+00, 407 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92705 0 48 0.92907 1.92705 107% - 0s
0 0 1.67461 0 45 0.92907 1.67461 80.2% - 0s
0 0 1.67334 0 45 0.92907 1.67334 80.1% - 0s
0 0 1.60882 0 60 0.92907 1.60882 73.2% - 0s
0 0 1.57192 0 61 0.92907 1.57192 69.2% - 0s
0 0 1.56108 0 55 0.92907 1.56108 68.0% - 0s
0 0 1.55280 0 58 0.92907 1.55280 67.1% - 0s
0 0 1.54806 0 56 0.92907 1.54806 66.6% - 0s
0 0 1.54527 0 58 0.92907 1.54527 66.3% - 0s
0 0 1.54503 0 58 0.92907 1.54503 66.3% - 0s
0 0 1.54482 0 58 0.92907 1.54482 66.3% - 0s
0 0 1.54342 0 56 0.92907 1.54342 66.1% - 0s
0 0 1.54308 0 56 0.92907 1.54308 66.1% - 0s
0 0 1.53860 0 69 0.92907 1.53860 65.6% - 0s
0 0 1.53821 0 66 0.92907 1.53821 65.6% - 0s
0 0 1.53783 0 70 0.92907 1.53783 65.5% - 0s
0 0 1.53783 0 70 0.92907 1.53783 65.5% - 0s
0 0 1.53782 0 69 0.92907 1.53782 65.5% - 0s
0 0 1.53782 0 59 0.92907 1.53782 65.5% - 0s
0 2 1.53782 0 59 0.92907 1.53782 65.5% - 0s
* 163 98 53 0.9569837 1.44175 50.7% 11.5 0s
* 1380 527 45 0.9751506 1.26215 29.4% 8.4 1s
H 1514 532 1.0007909 1.24035 23.9% 8.3 1s
* 1688 523 53 1.0058641 1.22530 21.8% 9.1 2s
* 1690 497 54 1.0065977 1.22530 21.7% 9.1 2s
* 2116 274 54 1.0067463 1.09113 8.38% 9.4 3s
Cutting planes:
Learned: 1
Gomory: 26
Cover: 8
Implied bound: 13
Projected implied bound: 10
Clique: 2
MIR: 10
Flow cover: 37
Flow path: 4
Inf proof: 12
Explored 2192 nodes (21427 simplex iterations) in 3.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.00675 1.0066 1.00586 ... 0.929065
Optimal solution found (tolerance 1.00e-02)
Best objective 1.006746332893e+00, best bound 1.006746332893e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdrh43d52.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyjm3uadt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.938972
Presolve removed 312 rows and 197 columns
Presolve time: 0.02s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.834781e+00, 456 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83478 0 53 0.93897 1.83478 95.4% - 0s
0 0 1.55404 0 50 0.93897 1.55404 65.5% - 0s
0 0 1.55282 0 50 0.93897 1.55282 65.4% - 0s
0 0 1.55201 0 49 0.93897 1.55201 65.3% - 0s
0 0 1.55140 0 51 0.93897 1.55140 65.2% - 0s
0 0 1.51228 0 60 0.93897 1.51228 61.1% - 0s
0 0 1.50848 0 64 0.93897 1.50848 60.7% - 0s
0 0 1.50829 0 65 0.93897 1.50829 60.6% - 0s
0 0 1.50394 0 70 0.93897 1.50394 60.2% - 0s
0 0 1.50331 0 72 0.93897 1.50331 60.1% - 0s
0 0 1.50329 0 72 0.93897 1.50329 60.1% - 0s
0 0 1.50229 0 74 0.93897 1.50229 60.0% - 0s
0 0 1.50229 0 74 0.93897 1.50229 60.0% - 0s
0 2 1.50229 0 57 0.93897 1.50229 60.0% - 0s
* 1559 421 58 0.9407944 1.16037 23.3% 8.1 1s
* 2175 430 42 0.9429556 1.11011 17.7% 8.0 1s
* 2401 378 51 0.9513827 1.08127 13.7% 7.9 1s
Cutting planes:
Gomory: 18
Cover: 16
Implied bound: 40
MIR: 17
Flow cover: 55
Flow path: 3
Inf proof: 43
Explored 3449 nodes (27376 simplex iterations) in 2.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.951383 0.942956 0.940794 0.938972
Optimal solution found (tolerance 1.00e-02)
Best objective 9.513826701924e-01, best bound 9.513826701924e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpurcohtgd.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfl8qbz0b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895377
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.742691e+00, 508 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74269 0 53 0.89538 1.74269 94.6% - 0s
0 0 1.44149 0 57 0.89538 1.44149 61.0% - 0s
0 0 1.44033 0 56 0.89538 1.44033 60.9% - 0s
0 0 1.43956 0 55 0.89538 1.43956 60.8% - 0s
0 0 1.43900 0 57 0.89538 1.43900 60.7% - 0s
0 0 1.40363 0 66 0.89538 1.40363 56.8% - 0s
0 0 1.39832 0 73 0.89538 1.39832 56.2% - 0s
0 0 1.39827 0 73 0.89538 1.39827 56.2% - 0s
0 0 1.38637 0 72 0.89538 1.38637 54.8% - 0s
0 0 1.38606 0 76 0.89538 1.38606 54.8% - 0s
0 0 1.38606 0 76 0.89538 1.38606 54.8% - 0s
0 0 1.38225 0 76 0.89538 1.38225 54.4% - 0s
0 0 1.38166 0 72 0.89538 1.38166 54.3% - 0s
0 0 1.38163 0 78 0.89538 1.38163 54.3% - 0s
0 0 1.38117 0 78 0.89538 1.38117 54.3% - 0s
0 0 1.38117 0 77 0.89538 1.38117 54.3% - 0s
0 2 1.38117 0 62 0.89538 1.38117 54.3% - 0s
* 1737 393 49 0.8958202 1.04600 16.8% 8.8 3s
Cutting planes:
Gomory: 20
Cover: 3
Implied bound: 13
Projected implied bound: 21
Clique: 2
MIR: 16
Flow cover: 28
Flow path: 4
Inf proof: 15
Explored 2504 nodes (21797 simplex iterations) in 3.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.89582 0.895377
Optimal solution found (tolerance 1.00e-02)
Best objective 8.958201830087e-01, best bound 8.958201830087e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeyqvaowr.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw8f6lcoz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829501
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.781648e+00, 600 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78165 0 60 0.82950 1.78165 115% - 0s
0 0 1.44681 0 65 0.82950 1.44681 74.4% - 0s
0 0 1.44548 0 64 0.82950 1.44548 74.3% - 0s
0 0 1.44468 0 63 0.82950 1.44468 74.2% - 0s
0 0 1.44432 0 63 0.82950 1.44432 74.1% - 0s
0 0 1.41990 0 75 0.82950 1.41990 71.2% - 0s
0 0 1.41719 0 78 0.82950 1.41719 70.8% - 0s
0 0 1.41677 0 78 0.82950 1.41677 70.8% - 0s
0 0 1.41599 0 81 0.82950 1.41599 70.7% - 0s
0 0 1.41528 0 79 0.82950 1.41528 70.6% - 0s
0 0 1.41526 0 79 0.82950 1.41526 70.6% - 0s
0 0 1.41487 0 91 0.82950 1.41487 70.6% - 0s
0 0 1.41487 0 91 0.82950 1.41487 70.6% - 0s
0 2 1.41487 0 91 0.82950 1.41487 70.6% - 0s
* 2882 734 66 0.8330819 1.05109 26.2% 7.4 3s
* 3053 736 65 0.8368204 1.02543 22.5% 7.4 3s
* 3496 767 58 0.8486708 1.00958 19.0% 7.1 4s
* 3680 764 62 0.8496843 1.00412 18.2% 7.1 4s
* 3733 730 55 0.8582833 1.00325 16.9% 7.2 4s
* 3801 730 52 0.8592928 1.00182 16.6% 7.2 4s
* 3853 621 58 0.8728033 1.00120 14.7% 7.2 4s
* 4099 470 57 0.8794705 0.99447 13.1% 7.2 4s
* 4254 411 66 0.8881691 0.98329 10.7% 7.2 4s
* 4367 379 63 0.8929779 0.97261 8.92% 7.1 4s
4451 335 cutoff 47 0.89298 0.96351 7.90% 7.2 5s
* 4973 0 58 0.8947583 0.89554 0.09% 7.1 5s
Cutting planes:
Gomory: 25
Cover: 3
Implied bound: 22
Projected implied bound: 9
Clique: 2
MIR: 12
Flow cover: 47
Flow path: 1
Inf proof: 27
Explored 4978 nodes (36720 simplex iterations) in 5.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.894758 0.892978 0.888169 ... 0.83682
Optimal solution found (tolerance 1.00e-02)
Best objective 8.947583498362e-01, best bound 8.950492632247e-01, gap 0.0325%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5r_na7bm.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf9jomwxx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.86558
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.728387e+00, 593 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72839 0 62 0.86558 1.72839 100% - 0s
0 0 1.61709 0 76 0.86558 1.61709 86.8% - 0s
0 0 1.61549 0 76 0.86558 1.61549 86.6% - 0s
0 0 1.59941 0 84 0.86558 1.59941 84.8% - 0s
0 0 1.59474 0 84 0.86558 1.59474 84.2% - 0s
0 0 1.57832 0 88 0.86558 1.57832 82.3% - 0s
0 0 1.57753 0 85 0.86558 1.57753 82.3% - 0s
0 0 1.56853 0 91 0.86558 1.56853 81.2% - 0s
0 0 1.56788 0 97 0.86558 1.56788 81.1% - 0s
0 0 1.55357 0 98 0.86558 1.55357 79.5% - 0s
0 0 1.55160 0 95 0.86558 1.55160 79.3% - 0s
0 0 1.55047 0 97 0.86558 1.55047 79.1% - 0s
0 0 1.55045 0 97 0.86558 1.55045 79.1% - 0s
0 0 1.54435 0 100 0.86558 1.54435 78.4% - 0s
0 0 1.54435 0 100 0.86558 1.54435 78.4% - 0s
0 0 1.54435 0 100 0.86558 1.54435 78.4% - 0s
0 0 1.54435 0 100 0.86558 1.54435 78.4% - 0s
0 0 1.54407 0 99 0.86558 1.54407 78.4% - 0s
0 0 1.54407 0 80 0.86558 1.54407 78.4% - 0s
0 2 1.54407 0 80 0.86558 1.54407 78.4% - 0s
* 1529 600 83 0.8660926 1.15158 33.0% 8.0 1s
H 3398 14 0.8701236 0.91297 4.92% 6.6 3s
Cutting planes:
Learned: 3
Explored 3454 nodes (24028 simplex iterations) in 3.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.870124 0.866093 0.86558
Optimal solution found (tolerance 1.00e-02)
Best objective 8.701235799817e-01, best bound 8.752897720174e-01, gap 0.5937%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp11vi7xex.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5gdljy3a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.846427
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.698318e+00, 593 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69832 0 63 0.84643 1.69832 101% - 0s
0 0 1.61500 0 72 0.84643 1.61500 90.8% - 0s
0 0 1.61390 0 72 0.84643 1.61390 90.7% - 0s
0 0 1.42486 0 85 0.84643 1.42486 68.3% - 0s
0 0 1.42450 0 84 0.84643 1.42450 68.3% - 0s
0 0 1.42277 0 89 0.84643 1.42277 68.1% - 0s
0 0 1.42274 0 86 0.84643 1.42274 68.1% - 0s
0 0 1.41770 0 99 0.84643 1.41770 67.5% - 0s
0 0 1.41704 0 104 0.84643 1.41704 67.4% - 0s
0 0 1.41680 0 105 0.84643 1.41680 67.4% - 0s
0 0 1.41457 0 98 0.84643 1.41457 67.1% - 0s
0 0 1.41457 0 103 0.84643 1.41457 67.1% - 0s
0 0 1.41424 0 102 0.84643 1.41424 67.1% - 0s
0 0 1.41424 0 102 0.84643 1.41424 67.1% - 0s
0 2 1.41424 0 102 0.84643 1.41424 67.1% - 0s
* 810 376 96 0.8469738 1.22439 44.6% 9.4 0s
3259 299 0.86306 56 19 0.84697 0.90911 7.34% 9.3 5s
* 3740 69 74 0.8526873 0.88883 4.24% 9.3 5s
Cutting planes:
Gomory: 38
Cover: 2
Implied bound: 22
Projected implied bound: 28
Clique: 2
MIR: 5
Flow cover: 53
Flow path: 3
Inf proof: 32
Explored 3926 nodes (37114 simplex iterations) in 5.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.852687 0.846974 0.846427
Optimal solution found (tolerance 1.00e-02)
Best objective 8.526872688845e-01, best bound 8.594266741287e-01, gap 0.7904%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpguk3w47q.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1c3dkfrp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.832428
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.717042e+00, 612 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71704 0 65 0.83243 1.71704 106% - 0s
0 0 1.62257 0 74 0.83243 1.62257 94.9% - 0s
0 0 1.62151 0 74 0.83243 1.62151 94.8% - 0s
0 0 1.48590 0 94 0.83243 1.48590 78.5% - 0s
0 0 1.48247 0 89 0.83243 1.48247 78.1% - 0s
0 0 1.48062 0 92 0.83243 1.48062 77.9% - 0s
0 0 1.48062 0 92 0.83243 1.48062 77.9% - 0s
0 0 1.46179 0 97 0.83243 1.46179 75.6% - 0s
0 0 1.46019 0 97 0.83243 1.46019 75.4% - 0s
0 0 1.46016 0 98 0.83243 1.46016 75.4% - 0s
0 0 1.45812 0 100 0.83243 1.45812 75.2% - 0s
0 0 1.45807 0 102 0.83243 1.45807 75.2% - 0s
0 0 1.45794 0 102 0.83243 1.45794 75.1% - 0s
0 0 1.45794 0 102 0.83243 1.45794 75.1% - 0s
0 2 1.45794 0 102 0.83243 1.45794 75.1% - 0s
2624 527 0.96631 52 44 0.83243 0.99768 19.9% 9.5 5s
* 2969 536 90 0.8387773 0.97402 16.1% 9.5 5s
* 4285 359 84 0.8434994 0.91738 8.76% 9.8 7s
* 4468 312 95 0.8453321 0.90928 7.56% 9.8 7s
Cutting planes:
Learned: 2
Gomory: 32
Cover: 6
Implied bound: 21
Projected implied bound: 31
Clique: 1
MIR: 11
Flow cover: 66
Flow path: 5
Inf proof: 39
Explored 5120 nodes (52071 simplex iterations) in 8.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.845332 0.843499 0.838777 0.832428
Optimal solution found (tolerance 1.00e-02)
Best objective 8.453321356721e-01, best bound 8.528427512235e-01, gap 0.8885%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfoxp9x7p.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwe_g4cus.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.815695
Presolve removed 390 rows and 245 columns
Presolve time: 0.03s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.646821e+00, 685 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64682 0 68 0.81569 1.64682 102% - 0s
0 0 1.55403 0 77 0.81569 1.55403 90.5% - 0s
0 0 1.55303 0 77 0.81569 1.55303 90.4% - 0s
0 0 1.53301 0 86 0.81569 1.53301 87.9% - 0s
0 0 1.52992 0 93 0.81569 1.52992 87.6% - 0s
0 0 1.52331 0 99 0.81569 1.52331 86.8% - 0s
0 0 1.51902 0 97 0.81569 1.51902 86.2% - 0s
0 0 1.50913 0 109 0.81569 1.50913 85.0% - 0s
0 0 1.50908 0 109 0.81569 1.50908 85.0% - 0s
0 0 1.50781 0 104 0.81569 1.50781 84.9% - 0s
0 0 1.50781 0 105 0.81569 1.50781 84.8% - 0s
0 0 1.50767 0 102 0.81569 1.50767 84.8% - 0s
0 0 1.50766 0 106 0.81569 1.50766 84.8% - 0s
0 0 1.50766 0 105 0.81569 1.50766 84.8% - 0s
0 2 1.50766 0 91 0.81569 1.50766 84.8% - 0s
4605 917 0.93196 37 58 0.81569 0.96307 18.1% 7.3 5s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 8
MIR: 6
Flow cover: 20
Flow path: 1
Inf proof: 3
Explored 7378 nodes (55953 simplex iterations) in 7.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.815695
Optimal solution found (tolerance 1.00e-02)
Best objective 8.156948353144e-01, best bound 8.156948353144e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5bxp3_eg.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmputmlxaql.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.826536
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.673447e+00, 685 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67345 0 69 0.82654 1.67345 102% - 0s
0 0 1.60355 0 82 0.82654 1.60355 94.0% - 0s
0 0 1.60257 0 82 0.82654 1.60257 93.9% - 0s
0 0 1.49319 0 94 0.82654 1.49319 80.7% - 0s
0 0 1.49234 0 96 0.82654 1.49234 80.6% - 0s
0 0 1.48510 0 103 0.82654 1.48510 79.7% - 0s
0 0 1.48349 0 100 0.82654 1.48349 79.5% - 0s
0 0 1.48037 0 104 0.82654 1.48037 79.1% - 0s
0 0 1.48037 0 104 0.82654 1.48037 79.1% - 0s
0 0 1.47894 0 105 0.82654 1.47894 78.9% - 0s
0 0 1.47836 0 103 0.82654 1.47836 78.9% - 0s
0 0 1.47636 0 105 0.82654 1.47636 78.6% - 0s
0 0 1.47634 0 104 0.82654 1.47634 78.6% - 0s
0 0 1.47550 0 101 0.82654 1.47550 78.5% - 0s
0 0 1.47549 0 102 0.82654 1.47549 78.5% - 0s
0 0 1.47425 0 113 0.82654 1.47425 78.4% - 0s
0 0 1.47356 0 112 0.82654 1.47356 78.3% - 0s
0 0 1.46957 0 111 0.82654 1.46957 77.8% - 0s
0 0 1.46954 0 112 0.82654 1.46954 77.8% - 0s
0 0 1.46760 0 117 0.82654 1.46760 77.6% - 0s
0 0 1.46731 0 111 0.82654 1.46731 77.5% - 0s
0 0 1.46694 0 113 0.82654 1.46694 77.5% - 0s
0 0 1.46694 0 95 0.82654 1.46694 77.5% - 0s
0 2 1.46694 0 91 0.82654 1.46694 77.5% - 0s
1976 608 infeasible 36 0.82654 1.10786 34.0% 11.1 5s
5896 855 infeasible 41 0.82654 0.94245 14.0% 10.5 10s
Cutting planes:
Learned: 1
Gomory: 37
Cover: 3
Implied bound: 26
Projected implied bound: 41
Clique: 1
MIR: 9
Flow cover: 50
Flow path: 5
Inf proof: 53
Explored 8465 nodes (84655 simplex iterations) in 13.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.826536
Optimal solution found (tolerance 1.00e-02)
Best objective 8.265357593275e-01, best bound 8.331893942170e-01, gap 0.8050%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp74qqrjv_.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplisr0okh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.838249
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.646915e+00, 693 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64691 0 71 0.83825 1.64691 96.5% - 0s
0 0 1.57303 0 83 0.83825 1.57303 87.7% - 0s
0 0 1.57240 0 88 0.83825 1.57240 87.6% - 0s
0 0 1.43875 0 93 0.83825 1.43875 71.6% - 0s
0 0 1.43640 0 90 0.83825 1.43640 71.4% - 0s
0 0 1.43341 0 99 0.83825 1.43341 71.0% - 0s
0 0 1.43308 0 100 0.83825 1.43308 71.0% - 0s
0 0 1.43300 0 98 0.83825 1.43300 71.0% - 0s
0 0 1.43281 0 101 0.83825 1.43281 70.9% - 0s
0 0 1.43281 0 80 0.83825 1.43281 70.9% - 0s
0 2 1.43281 0 75 0.83825 1.43281 70.9% - 0s
1220 509 1.17839 30 71 0.83825 1.25109 49.3% 15.5 5s
5048 1342 0.95200 48 42 0.83825 1.03075 23.0% 12.7 10s
8093 978 0.92947 51 38 0.83825 0.92947 10.9% 12.1 15s
Cutting planes:
Gomory: 33
Cover: 8
Implied bound: 23
Projected implied bound: 35
MIR: 17
Flow cover: 89
Flow path: 4
Inf proof: 81
Explored 10159 nodes (118957 simplex iterations) in 17.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.838249
Optimal solution found (tolerance 1.00e-02)
Best objective 8.382491383853e-01, best bound 8.459313409302e-01, gap 0.9165%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppc9qev1z.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpphq8k2q0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.835615
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.606717e+00, 747 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60672 0 75 0.83561 1.60672 92.3% - 0s
0 0 1.53981 0 92 0.83561 1.53981 84.3% - 0s
0 0 1.53888 0 92 0.83561 1.53888 84.2% - 0s
0 0 1.43657 0 106 0.83561 1.43657 71.9% - 0s
0 0 1.43084 0 101 0.83561 1.43084 71.2% - 0s
0 0 1.41802 0 104 0.83561 1.41802 69.7% - 0s
0 0 1.41271 0 107 0.83561 1.41271 69.1% - 0s
0 0 1.41203 0 112 0.83561 1.41203 69.0% - 0s
0 0 1.41198 0 109 0.83561 1.41198 69.0% - 0s
0 0 1.40874 0 103 0.83561 1.40874 68.6% - 0s
0 0 1.40865 0 103 0.83561 1.40865 68.6% - 0s
0 0 1.40855 0 113 0.83561 1.40855 68.6% - 0s
0 0 1.40722 0 119 0.83561 1.40722 68.4% - 0s
0 0 1.40686 0 121 0.83561 1.40686 68.4% - 0s
0 0 1.40572 0 114 0.83561 1.40572 68.2% - 0s
0 0 1.40538 0 118 0.83561 1.40538 68.2% - 0s
0 0 1.40537 0 112 0.83561 1.40537 68.2% - 0s
0 0 1.40534 0 118 0.83561 1.40534 68.2% - 0s
0 0 1.40534 0 118 0.83561 1.40534 68.2% - 0s
0 2 1.40534 0 118 0.83561 1.40534 68.2% - 0s
1838 579 infeasible 33 0.83561 1.16295 39.2% 13.4 5s
5711 1273 cutoff 56 0.83561 0.97889 17.1% 10.5 10s
8818 445 0.86863 37 40 0.83561 0.90356 8.13% 11.9 15s
Cutting planes:
Gomory: 29
Cover: 5
Implied bound: 32
Projected implied bound: 25
MIR: 22
Flow cover: 103
Flow path: 2
Inf proof: 109
Explored 9685 nodes (115431 simplex iterations) in 16.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.835615
Optimal solution found (tolerance 1.00e-02)
Best objective 8.356145366996e-01, best bound 8.356145366996e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeeng1f3p.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy7rv68j_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.807395
Presolve removed 442 rows and 277 columns
Presolve time: 0.03s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.551165e+00, 788 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55116 0 76 0.80740 1.55116 92.1% - 0s
0 0 1.49351 0 89 0.80740 1.49351 85.0% - 0s
0 0 1.49261 0 89 0.80740 1.49261 84.9% - 0s
0 0 1.47119 0 110 0.80740 1.47119 82.2% - 0s
0 0 1.46941 0 111 0.80740 1.46941 82.0% - 0s
0 0 1.45878 0 115 0.80740 1.45878 80.7% - 0s
0 0 1.45724 0 115 0.80740 1.45724 80.5% - 0s
0 0 1.45559 0 120 0.80740 1.45559 80.3% - 0s
0 0 1.45529 0 118 0.80740 1.45529 80.2% - 0s
0 0 1.44589 0 116 0.80740 1.44589 79.1% - 0s
0 0 1.44565 0 117 0.80740 1.44565 79.1% - 0s
0 0 1.44423 0 112 0.80740 1.44423 78.9% - 0s
0 0 1.44423 0 112 0.80740 1.44423 78.9% - 0s
0 0 1.44423 0 115 0.80740 1.44423 78.9% - 0s
0 0 1.44423 0 98 0.80740 1.44423 78.9% - 0s
0 0 1.44423 0 101 0.80740 1.44423 78.9% - 0s
0 0 1.44422 0 101 0.80740 1.44422 78.9% - 0s
0 0 1.44422 0 101 0.80740 1.44422 78.9% - 0s
0 2 1.44422 0 98 0.80740 1.44422 78.9% - 0s
3521 796 0.91097 44 60 0.80740 0.99498 23.2% 8.7 5s
7324 11 cutoff 55 0.80740 0.82084 1.67% 8.6 10s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 8
MIR: 6
Flow cover: 20
Flow path: 2
Inf proof: 1
Explored 7617 nodes (66337 simplex iterations) in 10.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.807395
Optimal solution found (tolerance 1.00e-02)
Best objective 8.073950623881e-01, best bound 8.118742932414e-01, gap 0.5548%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnjkk_2by.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5n6icwc1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.78345
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.580700e+00, 773 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58070 0 74 0.78345 1.58070 102% - 0s
0 0 1.52824 0 93 0.78345 1.52824 95.1% - 0s
0 0 1.52694 0 93 0.78345 1.52694 94.9% - 0s
0 0 1.43282 0 102 0.78345 1.43282 82.9% - 0s
0 0 1.43116 0 106 0.78345 1.43116 82.7% - 0s
0 0 1.42640 0 114 0.78345 1.42640 82.1% - 0s
0 0 1.42533 0 105 0.78345 1.42533 81.9% - 0s
0 0 1.42209 0 113 0.78345 1.42209 81.5% - 0s
0 0 1.42080 0 110 0.78345 1.42080 81.4% - 0s
0 0 1.41578 0 127 0.78345 1.41578 80.7% - 0s
0 0 1.41236 0 135 0.78345 1.41236 80.3% - 0s
0 0 1.41178 0 130 0.78345 1.41178 80.2% - 0s
0 0 1.40959 0 132 0.78345 1.40959 79.9% - 0s
0 0 1.40863 0 132 0.78345 1.40863 79.8% - 0s
0 0 1.40821 0 129 0.78345 1.40821 79.7% - 0s
0 0 1.40784 0 128 0.78345 1.40784 79.7% - 0s
0 0 1.40783 0 128 0.78345 1.40783 79.7% - 0s
0 0 1.40640 0 128 0.78345 1.40640 79.5% - 0s
0 0 1.40640 0 128 0.78345 1.40640 79.5% - 0s
0 0 1.40638 0 130 0.78345 1.40638 79.5% - 0s
0 0 1.40638 0 103 0.78345 1.40638 79.5% - 0s
0 2 1.40638 0 103 0.78345 1.40638 79.5% - 0s
1526 608 infeasible 43 0.78345 1.21846 55.5% 15.8 5s
H 3823 1156 0.7834496 1.08145 38.0% 14.6 8s
5027 1338 0.83468 33 53 0.78345 1.00902 28.8% 13.5 10s
* 8892 1517 76 0.7855644 0.91163 16.0% 11.8 14s
* 8896 1513 76 0.7861607 0.91163 16.0% 11.8 14s
9090 1398 0.87697 70 51 0.78616 0.90167 14.7% 11.8 15s
H10650 1088 0.7861607 0.86205 9.65% 12.3 18s
H10676 1085 0.7867765 0.86166 9.52% 12.3 18s
11576 607 infeasible 43 0.78678 0.83654 6.32% 12.5 20s
Cutting planes:
Learned: 3
Gomory: 35
Cover: 5
Implied bound: 22
Projected implied bound: 19
Clique: 3
MIR: 11
Flow cover: 60
Flow path: 4
Inf proof: 124
Explored 12487 nodes (158191 simplex iterations) in 21.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.786777 0.786161 0.786161 ... 0.78345
Optimal solution found (tolerance 1.00e-02)
Best objective 7.867765179084e-01, best bound 7.895932367012e-01, gap 0.3580%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5py803f1.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv99_b5z7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.76631
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.529009e+00, 837 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52901 0 79 0.76631 1.52901 100% - 0s
0 0 1.47375 0 95 0.76631 1.47375 92.3% - 0s
0 0 1.47297 0 103 0.76631 1.47297 92.2% - 0s
0 0 1.43549 0 124 0.76631 1.43549 87.3% - 0s
0 0 1.43350 0 121 0.76631 1.43350 87.1% - 0s
0 0 1.42916 0 126 0.76631 1.42916 86.5% - 0s
0 0 1.42897 0 125 0.76631 1.42897 86.5% - 0s
0 0 1.42798 0 129 0.76631 1.42798 86.3% - 0s
0 0 1.42689 0 125 0.76631 1.42689 86.2% - 0s
0 0 1.42496 0 124 0.76631 1.42496 86.0% - 0s
0 0 1.42479 0 125 0.76631 1.42479 85.9% - 0s
0 0 1.42452 0 127 0.76631 1.42452 85.9% - 0s
0 0 1.42433 0 125 0.76631 1.42433 85.9% - 0s
0 0 1.42413 0 124 0.76631 1.42413 85.8% - 0s
0 0 1.42413 0 124 0.76631 1.42413 85.8% - 0s
0 0 1.42411 0 124 0.76631 1.42411 85.8% - 0s
0 0 1.42411 0 107 0.76631 1.42411 85.8% - 0s
0 2 1.42411 0 107 0.76631 1.42411 85.8% - 0s
1157 548 1.18760 18 108 0.76631 1.20242 56.9% 16.5 5s
3828 1407 infeasible 37 0.76631 1.07155 39.8% 14.6 10s
6186 1739 0.93448 43 60 0.76631 0.99838 30.3% 15.4 15s
9358 1507 infeasible 41 0.76631 0.89807 17.2% 14.9 20s
12002 1076 cutoff 35 0.76631 0.84672 10.5% 14.1 25s
14544 0 infeasible 47 0.76631 0.78537 2.49% 13.6 30s
Cutting planes:
Learned: 2
Gomory: 34
Cover: 3
Implied bound: 34
Projected implied bound: 36
MIR: 13
Flow cover: 92
Flow path: 5
Inf proof: 133
Network: 1
Explored 14663 nodes (199644 simplex iterations) in 30.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.76631
Optimal solution found (tolerance 1.00e-02)
Best objective 7.663098815676e-01, best bound 7.663098815676e-01, gap 0.0000%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8fg9_p_k.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1e3xs0ws.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.766711
Presolve removed 481 rows and 301 columns
Presolve time: 0.03s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.536053e+00, 843 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53605 0 75 0.76671 1.53605 100% - 0s
0 0 1.48001 0 95 0.76671 1.48001 93.0% - 0s
0 0 1.47879 0 95 0.76671 1.47879 92.9% - 0s
0 0 1.38878 0 108 0.76671 1.38878 81.1% - 0s
0 0 1.38772 0 108 0.76671 1.38772 81.0% - 0s
0 0 1.38087 0 113 0.76671 1.38087 80.1% - 0s
0 0 1.37842 0 120 0.76671 1.37842 79.8% - 0s
0 0 1.37531 0 133 0.76671 1.37531 79.4% - 0s
0 0 1.37516 0 131 0.76671 1.37516 79.4% - 0s
0 0 1.37177 0 131 0.76671 1.37177 78.9% - 0s
0 0 1.37099 0 134 0.76671 1.37099 78.8% - 0s
0 0 1.36970 0 129 0.76671 1.36970 78.6% - 0s
0 0 1.36946 0 133 0.76671 1.36946 78.6% - 0s
0 0 1.36610 0 126 0.76671 1.36610 78.2% - 0s
0 0 1.36603 0 129 0.76671 1.36603 78.2% - 0s
0 0 1.36511 0 130 0.76671 1.36511 78.0% - 0s
0 0 1.36495 0 130 0.76671 1.36495 78.0% - 0s
0 0 1.36259 0 134 0.76671 1.36259 77.7% - 0s
0 0 1.36090 0 134 0.76671 1.36090 77.5% - 0s
0 0 1.35924 0 125 0.76671 1.35924 77.3% - 0s
0 0 1.35851 0 130 0.76671 1.35851 77.2% - 0s
0 0 1.35771 0 132 0.76671 1.35771 77.1% - 0s
0 0 1.35771 0 132 0.76671 1.35771 77.1% - 0s
0 0 1.35771 0 132 0.76671 1.35771 77.1% - 0s
0 0 1.35771 0 107 0.76671 1.35771 77.1% - 0s
0 2 1.35771 0 107 0.76671 1.35771 77.1% - 0s
879 554 1.11353 31 88 0.76671 1.20316 56.9% 17.7 5s
4359 1315 0.86960 62 38 0.76671 1.03286 34.7% 12.9 10s
7489 2080 0.78815 72 22 0.76671 0.96548 25.9% 12.5 15s
10651 2142 0.82678 65 44 0.76671 0.91141 18.9% 13.1 20s
12777 1752 infeasible 67 0.76671 0.86765 13.2% 13.8 25s
15232 596 infeasible 64 0.76671 0.80684 5.23% 14.0 30s
Cutting planes:
Learned: 1
Gomory: 25
Cover: 6
Implied bound: 53
Projected implied bound: 37
MIR: 15
StrongCG: 1
Flow cover: 106
Flow path: 3
Inf proof: 163
Explored 16112 nodes (225430 simplex iterations) in 31.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.766711
Optimal solution found (tolerance 1.00e-02)
Best objective 7.667114350875e-01, best bound 7.734210875744e-01, gap 0.8751%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3q9c02fb.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwi4zqoz9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.752119
Presolve removed 494 rows and 309 columns
Presolve time: 0.03s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.516294e+00, 751 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51629 0 77 0.75212 1.51629 102% - 0s
0 0 1.46681 0 85 0.75212 1.46681 95.0% - 0s
0 0 1.46563 0 95 0.75212 1.46563 94.9% - 0s
0 0 1.40726 0 102 0.75212 1.40726 87.1% - 0s
0 0 1.40486 0 101 0.75212 1.40486 86.8% - 0s
0 0 1.39644 0 114 0.75212 1.39644 85.7% - 0s
0 0 1.39435 0 114 0.75212 1.39435 85.4% - 0s
0 0 1.38306 0 122 0.75212 1.38306 83.9% - 0s
0 0 1.38267 0 125 0.75212 1.38267 83.8% - 0s
0 0 1.38199 0 122 0.75212 1.38199 83.7% - 0s
0 0 1.38173 0 118 0.75212 1.38173 83.7% - 0s
0 0 1.38148 0 117 0.75212 1.38148 83.7% - 0s
0 0 1.38145 0 121 0.75212 1.38145 83.7% - 0s
0 0 1.38145 0 120 0.75212 1.38145 83.7% - 0s
0 0 1.38145 0 99 0.75212 1.38145 83.7% - 0s
0 2 1.38145 0 91 0.75212 1.38145 83.7% - 0s
857 476 infeasible 27 0.75212 1.24333 65.3% 19.7 5s
3440 1135 infeasible 25 0.75212 1.10300 46.7% 17.0 10s
H 3865 1327 0.7544933 1.08671 44.0% 16.4 11s
6659 1921 infeasible 33 0.75449 0.99742 32.2% 14.9 15s
H 8536 2114 0.7647104 0.95274 24.6% 14.2 18s
9378 2026 cutoff 33 0.76471 0.91980 20.3% 14.3 20s
12103 1839 infeasible 55 0.76471 0.87071 13.9% 14.0 25s
H12144 1820 0.7665127 0.86544 12.9% 14.0 25s
*12897 1669 98 0.7691465 0.85448 11.1% 13.8 26s
14630 937 infeasible 66 0.76915 0.81523 5.99% 14.0 30s
Cutting planes:
Learned: 2
Gomory: 30
Cover: 7
Implied bound: 37
Projected implied bound: 43
Clique: 1
MIR: 22
Flow cover: 111
Flow path: 2
Inf proof: 159
Explored 16018 nodes (222963 simplex iterations) in 32.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.769146 0.766513 0.76471 ... 0.752119
Optimal solution found (tolerance 1.00e-02)
Best objective 7.691464588973e-01, best bound 7.747201840320e-01, gap 0.7247%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp15o469z1.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmvoq8_us.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.773778
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.501424e+00, 776 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50142 0 77 0.77378 1.50142 94.0% - 0s
0 0 1.45733 0 96 0.77378 1.45733 88.3% - 0s
0 0 1.45619 0 96 0.77378 1.45619 88.2% - 0s
0 0 1.38939 0 100 0.77378 1.38939 79.6% - 0s
0 0 1.38761 0 108 0.77378 1.38761 79.3% - 0s
0 0 1.37991 0 108 0.77378 1.37991 78.3% - 0s
0 0 1.37899 0 103 0.77378 1.37899 78.2% - 0s
0 0 1.37611 0 110 0.77378 1.37611 77.8% - 0s
0 0 1.37495 0 107 0.77378 1.37495 77.7% - 0s
0 0 1.37088 0 113 0.77378 1.37088 77.2% - 0s
0 0 1.36981 0 116 0.77378 1.36981 77.0% - 0s
0 0 1.36857 0 118 0.77378 1.36857 76.9% - 0s
0 0 1.36627 0 118 0.77378 1.36627 76.6% - 0s
0 0 1.36557 0 117 0.77378 1.36557 76.5% - 0s
0 0 1.36521 0 119 0.77378 1.36521 76.4% - 0s
0 0 1.36431 0 121 0.77378 1.36431 76.3% - 0s
0 0 1.36403 0 124 0.77378 1.36403 76.3% - 0s
0 0 1.36400 0 126 0.77378 1.36400 76.3% - 0s
0 0 1.36394 0 123 0.77378 1.36394 76.3% - 0s
0 0 1.36390 0 119 0.77378 1.36390 76.3% - 0s
0 0 1.36390 0 101 0.77378 1.36390 76.3% - 0s
0 2 1.36390 0 100 0.77378 1.36390 76.3% - 0s
1031 598 1.17349 32 72 0.77378 1.23308 59.4% 17.2 5s
3979 890 0.86308 52 69 0.77378 0.98686 27.5% 13.9 10s
7515 1625 infeasible 56 0.77378 0.95219 23.1% 13.0 15s
9936 1398 infeasible 68 0.77378 0.89233 15.3% 13.8 20s
12645 801 infeasible 82 0.77378 0.83583 8.02% 14.3 25s
Cutting planes:
Learned: 6
Gomory: 37
Cover: 9
Implied bound: 40
Projected implied bound: 32
Clique: 2
MIR: 25
Flow cover: 97
Flow path: 4
Inf proof: 186
Explored 14289 nodes (202692 simplex iterations) in 27.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.773778
Optimal solution found (tolerance 1.00e-02)
Best objective 7.737777876069e-01, best bound 7.737777876069e-01, gap 0.0000%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ire6ay6.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8jmtbeog.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.771313
Presolve removed 520 rows and 325 columns
Presolve time: 0.03s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.483004e+00, 807 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48300 0 79 0.77131 1.48300 92.3% - 0s
0 0 1.43590 0 94 0.77131 1.43590 86.2% - 0s
0 0 1.43480 0 94 0.77131 1.43480 86.0% - 0s
0 0 1.37258 0 105 0.77131 1.37258 78.0% - 0s
0 0 1.37058 0 104 0.77131 1.37058 77.7% - 0s
0 0 1.36288 0 113 0.77131 1.36288 76.7% - 0s
0 0 1.36098 0 114 0.77131 1.36098 76.4% - 0s
0 0 1.35874 0 121 0.77131 1.35874 76.2% - 0s
0 0 1.35823 0 115 0.77131 1.35823 76.1% - 0s
0 0 1.35811 0 121 0.77131 1.35811 76.1% - 0s
0 0 1.35685 0 119 0.77131 1.35685 75.9% - 0s
0 0 1.35600 0 129 0.77131 1.35600 75.8% - 0s
0 0 1.35600 0 129 0.77131 1.35600 75.8% - 0s
0 0 1.35377 0 122 0.77131 1.35377 75.5% - 0s
0 0 1.35368 0 122 0.77131 1.35368 75.5% - 0s
0 0 1.35270 0 128 0.77131 1.35270 75.4% - 0s
0 0 1.35266 0 129 0.77131 1.35266 75.4% - 0s
0 0 1.35255 0 124 0.77131 1.35255 75.4% - 0s
0 0 1.35253 0 128 0.77131 1.35253 75.4% - 0s
0 0 1.35252 0 128 0.77131 1.35252 75.4% - 0s
0 0 1.35252 0 128 0.77131 1.35252 75.4% - 0s
0 2 1.35252 0 128 0.77131 1.35252 75.4% - 0s
784 422 1.21022 18 113 0.77131 1.21022 56.9% 22.9 5s
* 1231 503 148 0.7761197 1.21022 55.9% 23.4 6s
2921 901 1.06705 43 97 0.77612 1.15695 49.1% 20.2 10s
6186 1183 0.93665 37 72 0.77612 0.98795 27.3% 16.2 15s
H 8561 1856 0.7761197 0.95711 23.3% 14.4 17s
11056 2181 0.91674 38 77 0.77612 0.92340 19.0% 13.0 20s
*12457 2339 120 0.7762281 0.91164 17.4% 12.7 22s
13937 2121 0.85295 41 86 0.77623 0.89213 14.9% 12.8 25s
H14088 2144 0.7766723 0.89058 14.7% 12.8 25s
15926 1477 infeasible 51 0.77667 0.85832 10.5% 13.1 30s
Cutting planes:
Learned: 1
Gomory: 28
Cover: 3
Implied bound: 42
Projected implied bound: 46
MIR: 24
Flow cover: 133
Flow path: 4
Inf proof: 204
Explored 18410 nodes (246516 simplex iterations) in 34.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.776672 0.776228 0.77612 ... 0.771313
Optimal solution found (tolerance 1.00e-02)
Best objective 7.766722510089e-01, best bound 7.825938749317e-01, gap 0.7624%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsh_uk87p.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmtla6qlw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.770937
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.458599e+00, 791 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45860 0 82 0.77094 1.45860 89.2% - 0s
0 0 1.41049 0 100 0.77094 1.41049 83.0% - 0s
0 0 1.41003 0 102 0.77094 1.41003 82.9% - 0s
0 0 1.35187 0 108 0.77094 1.35187 75.4% - 0s
0 0 1.35013 0 109 0.77094 1.35013 75.1% - 0s
0 0 1.34234 0 114 0.77094 1.34234 74.1% - 0s
0 0 1.34234 0 111 0.77094 1.34234 74.1% - 0s
0 0 1.33965 0 115 0.77094 1.33965 73.8% - 0s
0 0 1.33957 0 112 0.77094 1.33957 73.8% - 0s
0 0 1.33918 0 115 0.77094 1.33918 73.7% - 0s
0 0 1.33918 0 115 0.77094 1.33918 73.7% - 0s
0 0 1.33916 0 113 0.77094 1.33916 73.7% - 0s
0 0 1.33916 0 99 0.77094 1.33916 73.7% - 0s
0 2 1.33916 0 99 0.77094 1.33916 73.7% - 0s
803 540 1.23487 11 108 0.77094 1.23487 60.2% 20.9 5s
2228 771 infeasible 32 0.77094 1.15291 49.5% 20.6 10s
4392 1223 infeasible 30 0.77094 1.04760 35.9% 18.4 15s
8008 1939 0.88386 45 54 0.77094 0.96068 24.6% 14.6 20s
10754 2185 0.87434 39 71 0.77094 0.93244 20.9% 13.9 25s
H12757 1956 0.7721373 0.90084 16.7% 13.9 29s
12776 1863 0.83602 54 55 0.77214 0.90004 16.6% 13.9 30s
15050 1229 infeasible 62 0.77214 0.85247 10.4% 14.0 35s
Cutting planes:
Learned: 2
Gomory: 45
Cover: 5
Implied bound: 48
Projected implied bound: 50
MIR: 46
Flow cover: 130
Flow path: 4
Inf proof: 207
Explored 17296 nodes (241348 simplex iterations) in 39.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.772137 0.770937
Optimal solution found (tolerance 1.00e-02)
Best objective 7.721372849901e-01, best bound 7.797826703135e-01, gap 0.9902%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_swuo9tt.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwwwjy09l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.762878
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.440879e+00, 940 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44088 0 85 0.76288 1.44088 88.9% - 0s
0 0 1.39592 0 105 0.76288 1.39592 83.0% - 0s
0 0 1.39529 0 109 0.76288 1.39529 82.9% - 0s
0 0 1.34113 0 110 0.76288 1.34113 75.8% - 0s
0 0 1.33944 0 106 0.76288 1.33944 75.6% - 0s
0 0 1.33355 0 117 0.76288 1.33355 74.8% - 0s
0 0 1.33301 0 113 0.76288 1.33301 74.7% - 0s
0 0 1.32974 0 116 0.76288 1.32974 74.3% - 0s
0 0 1.32922 0 114 0.76288 1.32922 74.2% - 0s
0 0 1.32896 0 118 0.76288 1.32896 74.2% - 0s
0 0 1.32894 0 118 0.76288 1.32894 74.2% - 0s
0 0 1.32867 0 116 0.76288 1.32867 74.2% - 0s
0 0 1.32867 0 117 0.76288 1.32867 74.2% - 0s
0 0 1.32866 0 117 0.76288 1.32866 74.2% - 0s
0 0 1.32866 0 105 0.76288 1.32866 74.2% - 0s
0 2 1.32866 0 105 0.76288 1.32866 74.2% - 0s
800 504 1.20115 16 117 0.76288 1.20115 57.4% 22.8 5s
H 1448 562 0.7633141 1.19934 57.1% 21.0 7s
H 2009 589 0.7633141 1.16542 52.7% 19.7 8s
H 2488 680 0.7633233 1.14293 49.7% 18.7 9s
2738 635 1.01080 32 93 0.76332 1.12152 46.9% 18.5 10s
5614 1048 0.94705 48 59 0.76332 0.97803 28.1% 14.7 15s
H 5763 1101 0.7633233 0.97104 27.2% 14.6 16s
8797 1735 infeasible 52 0.76332 0.92968 21.8% 12.9 20s
11195 1741 0.86533 72 50 0.76332 0.88473 15.9% 12.8 25s
13120 1460 0.85528 62 57 0.76332 0.85617 12.2% 13.0 30s
15448 826 0.78920 73 37 0.76332 0.82208 7.70% 13.4 35s
Cutting planes:
Learned: 1
Gomory: 20
Cover: 3
Implied bound: 31
Projected implied bound: 48
MIR: 30
Flow cover: 113
Flow path: 4
Inf proof: 213
Explored 17417 nodes (232344 simplex iterations) in 37.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.763323 0.763323 0.763314 ... 0.762878
Optimal solution found (tolerance 1.00e-02)
Best objective 7.633233242395e-01, best bound 7.642991964711e-01, gap 0.1278%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw_co_vuv.pyomo.lp
Reading time = 0.02 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm7vwpp23.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.755734
Presolve removed 559 rows and 349 columns
Presolve time: 0.04s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.422611e+00, 861 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42261 0 86 0.75573 1.42261 88.2% - 0s
0 0 1.37584 0 108 0.75573 1.37584 82.1% - 0s
0 0 1.37282 0 103 0.75573 1.37282 81.7% - 0s
0 0 1.32402 0 123 0.75573 1.32402 75.2% - 0s
0 0 1.32227 0 121 0.75573 1.32227 75.0% - 0s
0 0 1.31870 0 131 0.75573 1.31870 74.5% - 0s
0 0 1.31570 0 121 0.75573 1.31570 74.1% - 0s
0 0 1.31135 0 121 0.75573 1.31135 73.5% - 0s
0 0 1.31129 0 122 0.75573 1.31129 73.5% - 0s
0 0 1.31011 0 130 0.75573 1.31011 73.4% - 0s
0 0 1.30980 0 132 0.75573 1.30980 73.3% - 0s
0 0 1.30858 0 127 0.75573 1.30858 73.2% - 0s
0 0 1.30848 0 125 0.75573 1.30848 73.1% - 0s
0 0 1.30832 0 127 0.75573 1.30832 73.1% - 0s
0 0 1.30828 0 129 0.75573 1.30828 73.1% - 0s
0 0 1.30808 0 130 0.75573 1.30808 73.1% - 0s
0 0 1.30808 0 113 0.75573 1.30808 73.1% - 0s
0 2 1.30808 0 112 0.75573 1.30808 73.1% - 0s
766 511 1.20612 17 102 0.75573 1.20612 59.6% 25.3 5s
* 1667 537 155 0.7586535 1.15348 52.0% 26.2 8s
2183 622 0.96813 35 95 0.75865 1.13660 49.8% 24.6 10s
H 3162 910 0.7632995 1.07405 40.7% 23.7 12s
4080 790 infeasible 33 0.76330 0.98855 29.5% 22.7 15s
H 7922 1980 0.7643901 0.94271 23.3% 17.2 19s
H 7944 1981 0.7667353 0.94243 22.9% 17.2 19s
7961 1977 infeasible 67 0.76674 0.94243 22.9% 17.2 20s
10916 2459 0.89020 63 64 0.76674 0.92208 20.3% 16.5 25s
H12601 2486 0.7671574 0.91080 18.7% 16.7 29s
12944 2401 infeasible 50 0.76716 0.90648 18.2% 16.9 30s
14702 1985 infeasible 68 0.76716 0.87914 14.6% 17.6 35s
16525 1245 0.83634 63 55 0.76716 0.84119 9.65% 18.1 40s
Cutting planes:
Learned: 2
Gomory: 43
Cover: 3
Implied bound: 45
Projected implied bound: 50
MIR: 38
Flow cover: 137
Flow path: 2
Inf proof: 216
Explored 18666 nodes (334009 simplex iterations) in 44.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.767157 0.766735 0.76439 ... 0.755734
Optimal solution found (tolerance 1.00e-02)
Best objective 7.671574007888e-01, best bound 7.711074716820e-01, gap 0.5149%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn0i0c21b.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbz3m3no2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.760802
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.405827e+00, 977 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40583 0 88 0.76080 1.40583 84.8% - 0s
0 0 1.36527 0 106 0.76080 1.36527 79.5% - 0s
0 0 1.36428 0 106 0.76080 1.36428 79.3% - 0s
0 0 1.31210 0 116 0.76080 1.31210 72.5% - 0s
0 0 1.31068 0 120 0.76080 1.31068 72.3% - 0s
0 0 1.30644 0 125 0.76080 1.30644 71.7% - 0s
0 0 1.30537 0 118 0.76080 1.30537 71.6% - 0s
0 0 1.30227 0 121 0.76080 1.30227 71.2% - 0s
0 0 1.30206 0 122 0.76080 1.30206 71.1% - 0s
0 0 1.30119 0 125 0.76080 1.30119 71.0% - 0s
0 0 1.30090 0 133 0.76080 1.30090 71.0% - 0s
0 0 1.30080 0 136 0.76080 1.30080 71.0% - 0s
0 0 1.30057 0 133 0.76080 1.30057 70.9% - 0s
0 0 1.29997 0 134 0.76080 1.29997 70.9% - 0s
0 0 1.29937 0 137 0.76080 1.29937 70.8% - 0s
0 0 1.29919 0 137 0.76080 1.29919 70.8% - 0s
0 0 1.29915 0 137 0.76080 1.29915 70.8% - 0s
0 0 1.29020 0 141 0.76080 1.29020 69.6% - 0s
0 0 1.29007 0 140 0.76080 1.29007 69.6% - 0s
0 0 1.28999 0 135 0.76080 1.28999 69.6% - 0s
0 0 1.28995 0 136 0.76080 1.28995 69.6% - 0s
0 0 1.28995 0 135 0.76080 1.28995 69.6% - 0s
0 0 1.28995 0 115 0.76080 1.28995 69.6% - 0s
0 2 1.28995 0 111 0.76080 1.28995 69.6% - 0s
752 507 1.19113 10 132 0.76080 1.19113 56.6% 23.1 5s
1334 547 1.12746 17 113 0.76080 1.15575 51.9% 29.4 10s
H 1533 528 0.7617592 1.14654 50.5% 28.8 10s
2178 466 0.99659 26 104 0.76176 1.10152 44.6% 27.8 15s
4845 1094 infeasible 40 0.76176 0.93456 22.7% 21.1 20s
7908 1544 0.80888 52 52 0.76176 0.89547 17.6% 17.6 25s
9797 1314 0.76880 89 8 0.76176 0.86749 13.9% 17.6 30s
* 9810 1312 94 0.7621229 0.86749 13.8% 17.5 30s
*10692 1134 93 0.7628033 0.84879 11.3% 17.4 32s
11643 781 infeasible 52 0.76280 0.82939 8.73% 17.3 35s
*12755 411 83 0.7630162 0.79860 4.66% 17.1 37s
*13312 96 83 0.7630567 0.77419 1.46% 16.9 38s
*13353 7 88 0.7632020 0.77074 0.99% 16.9 38s
Cutting planes:
Learned: 1
Gomory: 60
Cover: 7
Implied bound: 35
Projected implied bound: 59
MIR: 30
Flow cover: 158
Flow path: 5
Inf proof: 169
Explored 13487 nodes (228845 simplex iterations) in 38.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.763202 0.763057 0.763016 ... 0.760802
Optimal solution found (tolerance 1.00e-02)
Best objective 7.632019817590e-01, best bound 7.687901142276e-01, gap 0.7322%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp06j_etcy.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3inxo35_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.752214
Presolve removed 585 rows and 365 columns
Presolve time: 0.05s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.391579e+00, 917 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39158 0 91 0.75221 1.39158 85.0% - 0s
0 0 1.34865 0 117 0.75221 1.34865 79.3% - 0s
0 0 1.34770 0 117 0.75221 1.34770 79.2% - 0s
0 0 1.30208 0 120 0.75221 1.30208 73.1% - 0s
0 0 1.30185 0 129 0.75221 1.30185 73.1% - 0s
0 0 1.29602 0 131 0.75221 1.29602 72.3% - 0s
0 0 1.29431 0 125 0.75221 1.29431 72.1% - 0s
0 0 1.29189 0 135 0.75221 1.29189 71.7% - 0s
0 0 1.29172 0 131 0.75221 1.29172 71.7% - 0s
0 0 1.29103 0 146 0.75221 1.29103 71.6% - 0s
0 0 1.29097 0 145 0.75221 1.29097 71.6% - 0s
0 0 1.29075 0 142 0.75221 1.29075 71.6% - 0s
0 0 1.29075 0 147 0.75221 1.29075 71.6% - 0s
0 0 1.29026 0 146 0.75221 1.29026 71.5% - 0s
0 0 1.29007 0 146 0.75221 1.29007 71.5% - 0s
0 0 1.29005 0 146 0.75221 1.29005 71.5% - 0s
0 0 1.29005 0 146 0.75221 1.29005 71.5% - 0s
0 0 1.29005 0 146 0.75221 1.29005 71.5% - 0s
0 0 1.29005 0 121 0.75221 1.29005 71.5% - 0s
0 2 1.29005 0 121 0.75221 1.29005 71.5% - 0s
773 530 1.04212 30 115 0.75221 1.18887 58.0% 17.6 5s
1423 573 0.81904 41 113 0.75221 1.13000 50.2% 26.1 10s
3132 809 0.98581 30 118 0.75221 1.06905 42.1% 24.8 15s
H 3328 798 0.7525372 1.04159 38.4% 24.5 15s
5177 1348 0.90755 33 124 0.75254 0.97277 29.3% 21.0 20s
8506 2203 infeasible 49 0.75254 0.90518 20.3% 17.2 25s
*10176 2723 96 0.7525557 0.89257 18.6% 15.9 26s
12057 3229 0.85749 58 50 0.75256 0.88264 17.3% 15.2 30s
13590 3179 0.80454 63 48 0.75256 0.87262 16.0% 15.4 35s
15693 2815 0.76084 44 96 0.75256 0.85568 13.7% 15.6 40s
17633 2379 infeasible 59 0.75256 0.83522 11.0% 15.8 45s
19791 1645 infeasible 50 0.75256 0.81242 7.95% 16.0 50s
22021 517 infeasible 46 0.75256 0.77535 3.03% 16.1 55s
Cutting planes:
Learned: 1
Gomory: 60
Cover: 2
Implied bound: 45
Projected implied bound: 54
Clique: 1
MIR: 36
Flow cover: 130
Flow path: 4
Inf proof: 251
Explored 22600 nodes (363227 simplex iterations) in 55.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.752556 0.752537 0.752214
Optimal solution found (tolerance 1.00e-02)
Best objective 7.525557025581e-01, best bound 7.587374537737e-01, gap 0.8214%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf0ieoyd3.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt_jcsqp2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.738856
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.373111e+00, 938 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37311 0 94 0.73886 1.37311 85.8% - 0s
0 0 1.33380 0 116 0.73886 1.33380 80.5% - 0s
0 0 1.33286 0 116 0.73886 1.33286 80.4% - 0s
0 0 1.28496 0 128 0.73886 1.28496 73.9% - 0s
0 0 1.28337 0 126 0.73886 1.28337 73.7% - 0s
0 0 1.27652 0 131 0.73886 1.27652 72.8% - 0s
0 0 1.27579 0 126 0.73886 1.27579 72.7% - 0s
0 0 1.27294 0 126 0.73886 1.27294 72.3% - 0s
0 0 1.27293 0 130 0.73886 1.27293 72.3% - 0s
0 0 1.27224 0 139 0.73886 1.27224 72.2% - 0s
0 0 1.27219 0 137 0.73886 1.27219 72.2% - 0s
0 0 1.27217 0 140 0.73886 1.27217 72.2% - 0s
0 0 1.27214 0 139 0.73886 1.27214 72.2% - 0s
0 0 1.27208 0 141 0.73886 1.27208 72.2% - 0s
0 0 1.27208 0 121 0.73886 1.27208 72.2% - 0s
0 2 1.27208 0 120 0.73886 1.27208 72.2% - 0s
785 456 1.17714 10 128 0.73886 1.17714 59.3% 24.5 5s
1760 630 infeasible 22 0.73886 1.11906 51.5% 24.1 10s
H 2184 649 0.7388557 1.08438 46.8% 24.5 11s
3097 951 0.76862 51 81 0.73886 1.05029 42.2% 22.2 15s
H 3119 951 0.7388557 1.04720 41.7% 22.1 15s
5872 1620 cutoff 52 0.73886 0.93585 26.7% 18.2 20s
8637 2139 infeasible 48 0.73886 0.88904 20.3% 17.1 25s
12336 3265 0.82892 53 58 0.73886 0.86930 17.7% 15.2 30s
14179 3220 0.85745 43 76 0.73886 0.86146 16.6% 15.2 35s
16043 3093 cutoff 56 0.73886 0.85048 15.1% 15.3 40s
17966 2692 0.80351 59 53 0.73886 0.83578 13.1% 15.7 45s
19761 2066 infeasible 76 0.73886 0.81534 10.4% 16.1 50s
21331 1262 infeasible 56 0.73886 0.79293 7.32% 16.3 55s
Cutting planes:
Learned: 2
Gomory: 37
Cover: 4
Implied bound: 51
Projected implied bound: 65
MIR: 29
Flow cover: 144
Flow path: 6
Inf proof: 246
Explored 23282 nodes (377862 simplex iterations) in 58.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.738856 0.738856 0.738856
Optimal solution found (tolerance 1.00e-02)
Best objective 7.388556940874e-01, best bound 7.462168504305e-01, gap 0.9963%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpokqqxkdn.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwv4nfs_t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.724255
Presolve removed 611 rows and 381 columns
Presolve time: 0.04s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.340083e+00, 1029 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34008 0 95 0.72426 1.34008 85.0% - 0s
0 0 1.30432 0 122 0.72426 1.30432 80.1% - 0s
0 0 1.30339 0 122 0.72426 1.30339 80.0% - 0s
0 0 1.27832 0 131 0.72426 1.27832 76.5% - 0s
0 0 1.27725 0 134 0.72426 1.27725 76.4% - 0s
0 0 1.27162 0 135 0.72426 1.27162 75.6% - 0s
0 0 1.27160 0 131 0.72426 1.27160 75.6% - 0s
0 0 1.26842 0 138 0.72426 1.26842 75.1% - 0s
0 0 1.26842 0 143 0.72426 1.26842 75.1% - 0s
0 0 1.26804 0 147 0.72426 1.26804 75.1% - 0s
0 0 1.26804 0 148 0.72426 1.26804 75.1% - 0s
0 0 1.26804 0 148 0.72426 1.26804 75.1% - 0s
0 0 1.26804 0 116 0.72426 1.26804 75.1% - 0s
0 0 1.26804 0 116 0.72426 1.26804 75.1% - 0s
0 0 1.26801 0 117 0.72426 1.26801 75.1% - 0s
0 0 1.26801 0 117 0.72426 1.26801 75.1% - 0s
0 2 1.26801 0 117 0.72426 1.26801 75.1% - 0s
761 454 1.02454 15 106 0.72426 1.13800 57.1% 15.8 5s
1956 471 1.06697 29 123 0.72426 1.08678 50.1% 19.2 10s
4365 1015 0.89047 48 88 0.72426 0.95168 31.4% 16.3 15s
6992 1869 infeasible 48 0.72426 0.90796 25.4% 14.4 20s
10134 2687 infeasible 47 0.72426 0.87787 21.2% 13.7 25s
12950 3296 0.77834 68 46 0.72426 0.85528 18.1% 13.4 30s
15266 3409 infeasible 66 0.72426 0.84168 16.2% 13.5 35s
17291 3234 0.77230 75 61 0.72426 0.82992 14.6% 14.1 40s
19185 2739 infeasible 59 0.72426 0.81319 12.3% 14.6 45s
20844 2194 0.78630 67 71 0.72426 0.79374 9.59% 15.0 50s
22877 1259 0.76478 86 65 0.72426 0.76823 6.07% 15.4 55s
24515 454 infeasible 64 0.72426 0.74671 3.10% 15.7 60s
Cutting planes:
Gomory: 44
Cover: 2
Implied bound: 55
Projected implied bound: 52
MIR: 28
Flow cover: 123
Flow path: 3
Inf proof: 317
Explored 25275 nodes (398782 simplex iterations) in 61.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.724255
Optimal solution found (tolerance 1.00e-02)
Best objective 7.242551146939e-01, best bound 7.298638229372e-01, gap 0.7744%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5baapwbf.pyomo.lp
Reading time = 0.02 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_55xkei1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.729887
Presolve removed 624 rows and 389 columns
Presolve time: 0.05s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.338092e+00, 989 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33809 0 98 0.72989 1.33809 83.3% - 0s
0 0 1.30251 0 124 0.72989 1.30251 78.5% - 0s
0 0 1.30157 0 124 0.72989 1.30157 78.3% - 0s
0 0 1.25697 0 126 0.72989 1.25697 72.2% - 0s
0 0 1.25556 0 128 0.72989 1.25556 72.0% - 0s
0 0 1.24904 0 136 0.72989 1.24904 71.1% - 0s
0 0 1.24775 0 142 0.72989 1.24775 71.0% - 0s
0 0 1.24381 0 148 0.72989 1.24381 70.4% - 0s
0 0 1.24290 0 148 0.72989 1.24290 70.3% - 0s
0 0 1.23780 0 164 0.72989 1.23780 69.6% - 0s
0 0 1.23770 0 161 0.72989 1.23770 69.6% - 0s
0 0 1.23524 0 156 0.72989 1.23524 69.2% - 0s
0 0 1.23524 0 157 0.72989 1.23524 69.2% - 0s
0 0 1.23520 0 157 0.72989 1.23520 69.2% - 0s
0 0 1.23520 0 157 0.72989 1.23520 69.2% - 0s
0 0 1.23457 0 153 0.72989 1.23457 69.1% - 0s
0 0 1.23440 0 159 0.72989 1.23440 69.1% - 0s
0 0 1.23424 0 162 0.72989 1.23424 69.1% - 0s
0 0 1.23424 0 162 0.72989 1.23424 69.1% - 0s
0 0 1.23424 0 162 0.72989 1.23424 69.1% - 0s
0 0 1.23424 0 138 0.72989 1.23424 69.1% - 0s
0 2 1.23424 0 136 0.72989 1.23424 69.1% - 0s
745 497 0.95924 39 136 0.72989 1.15256 57.9% 17.5 5s
1762 807 infeasible 25 0.72989 1.12858 54.6% 22.0 10s
H 2385 832 0.7298873 1.10028 50.7% 21.1 11s
4111 1619 infeasible 24 0.72989 1.06127 45.4% 17.4 15s
5953 2207 0.83627 39 110 0.72989 1.01557 39.1% 16.1 20s
9554 2813 0.79858 47 98 0.72989 0.91793 25.8% 14.5 25s
12968 3616 infeasible 59 0.72989 0.87821 20.3% 13.5 30s
15452 4222 cutoff 61 0.72989 0.86844 19.0% 13.3 35s
18056 4385 0.77166 65 45 0.72989 0.84945 16.4% 13.4 40s
19822 4112 infeasible 82 0.72989 0.83530 14.4% 13.8 45s
21848 3697 infeasible 73 0.72989 0.81998 12.3% 14.3 50s
23606 3063 infeasible 62 0.72989 0.80429 10.2% 14.7 55s
25489 2336 infeasible 56 0.72989 0.78793 7.95% 15.0 60s
27708 1145 0.75185 59 66 0.72989 0.76203 4.40% 15.1 65s
Cutting planes:
Learned: 1
Gomory: 53
Cover: 4
Implied bound: 39
Projected implied bound: 47
MIR: 25
Flow cover: 134
Flow path: 3
Inf proof: 261
Explored 29218 nodes (440536 simplex iterations) in 67.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.729887 0.729887
Optimal solution found (tolerance 1.00e-02)
Best objective 7.298873403561e-01, best bound 7.366594886389e-01, gap 0.9278%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_so4e2mh.pyomo.lp
Reading time = 0.02 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe2xejr9e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.73077
Presolve removed 637 rows and 397 columns
Presolve time: 0.06s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.318828e+00, 1018 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31883 0 101 0.73077 1.31883 80.5% - 0s
0 0 1.28363 0 131 0.73077 1.28363 75.7% - 0s
0 0 1.28269 0 132 0.73077 1.28269 75.5% - 0s
0 0 1.23400 0 133 0.73077 1.23400 68.9% - 0s
0 0 1.23390 0 141 0.73077 1.23390 68.8% - 0s
0 0 1.22562 0 145 0.73077 1.22562 67.7% - 0s
0 0 1.22455 0 133 0.73077 1.22455 67.6% - 0s
0 0 1.22169 0 138 0.73077 1.22169 67.2% - 0s
0 0 1.22167 0 144 0.73077 1.22167 67.2% - 0s
0 0 1.22083 0 145 0.73077 1.22083 67.1% - 0s
0 0 1.22021 0 145 0.73077 1.22021 67.0% - 0s
0 0 1.22007 0 146 0.73077 1.22007 67.0% - 0s
0 0 1.22005 0 147 0.73077 1.22005 67.0% - 0s
0 0 1.21997 0 151 0.73077 1.21997 66.9% - 0s
0 0 1.21994 0 152 0.73077 1.21994 66.9% - 0s
0 0 1.21994 0 152 0.73077 1.21994 66.9% - 0s
0 0 1.21994 0 138 0.73077 1.21994 66.9% - 0s
0 2 1.21994 0 133 0.73077 1.21994 66.9% - 0s
755 539 0.94304 53 154 0.73077 1.14642 56.9% 17.0 5s
Repeat last two iterations of 60 period case (since they were aborted previously)¶
In [2]:
for per in [60]:#[30,45,60]:
print("Period "+str(per))
for i in range(8,10):#range(10):
print("Run "+str(i))
#create environments for 5 cases
seed_train = np.random.randint(1000,2000)
seed_sim = np.random.randint(1000,2000)
print("Seed for training "+str(seed_train))
print("Seed for simulation "+str(seed_sim))
env1_dfo=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_train,'periods':per})
env1_mip=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_train,'periods':per})
env1_mip_pi=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
env1_dfo_online=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
env1_mip_online=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
#run optimizations for backlog scenario
env1_dfo_results = optimize_nv_dfo(env1_dfo)
env1_mip_model, env1_mip_results = optimize_nv_mip(env1_mip,warmstart=True,
solver_kwargs={'TimeLimit':600,'MIPGap':0.00},
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt})
#DFO
#reset env to run simulation with new demand profile and with base stock levels found
env1_dfo=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_dfo.num_periods):
#take a step in the simulation using base stock policy
env1_dfo.step(action=env1_dfo.base_stock_action(z=env1_dfo_results.zopt))
#MIP
zopt = list(env1_mip_model.z.get_values().values()) #extract optimal base stock levels
#reset env to run simulation with new demand profile and with base stock levels found
env1_mip=or_gym.make("NewsVendor-v1",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_mip.num_periods):
#take a step in the simulation using base stock policy
env1_mip.step(action=env1_mip.base_stock_action(z=zopt))
#MIP PI
env1_mip_pi_model, env1_mip_pi_results = optimize_nv_pi_mip(env1_mip_pi,warmstart=True,
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt,
'perfect_information':True})
#DFO ONLINE
_,_,env1_dfo_online_basestock = online_optimize_nv_dfo(env1_dfo_online)
#MIP ONLINE
_,_,env1_mip_online_basestock = online_optimize_nv_mip(env1_mip_online,
solver_kwargs={'TimeLimit':600,'MIPGap':0.01},
warmstart=True)
#PICKLE
NV_envs = {'DFO':env1_dfo,
'DFO zopt':env1_dfo_results.zopt,
'MIP':env1_mip,
'MIP zopt':list(env1_mip_model.z.get_values().values()),
'Oracle':env1_mip_pi,
'Oracle R':env1_mip_pi_model.R.get_values(),
'oDFO':env1_dfo_online,
'oDFO zopt':env1_dfo_online_basestock,
'oMIP':env1_mip_online,
'oMIP zopt':env1_mip_online_basestock}
file_env = open('NV_Backlog_'+str(per)+'_'+str(i)+'.obj','wb')
pickle.dump(NV_envs,file_env)
Period 60 Run 8 Seed for training 1684 Seed for simulation 1559
/home/hdpp/miniconda3/lib/python3.6/site-packages/gym/logger.py:30: UserWarning: WARN: Box bound precision lowered by casting to float32
warnings.warn(colorize('%s: %s'%('WARN', msg % args), 'yellow'))
direc: array([[-15.07355329, 7.48968471, 5.06126978],
[ -3.05819767, 1.02503622, 1.02503622],
[ 2.47077596, 12.3811154 , 9.0310244 ]])
fopt: 0.6186041110752442
fun: -0.6157570171765728
message: 'Optimization terminated successfully.'
nfev: 545
nit: 8
status: 0
success: True
x: array([ 87.1938409 , 187.39626882, 134.00192843])
xopt: array([ 87., 188., 135.])
zopt: array([ 87., 275., 410.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw7h3n92z.pyomo.lp
Reading time = 0.02 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuizxnhzn.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.618604
Presolve removed 845 rows and 525 columns
Presolve time: 0.04s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.113687e+00, 1534 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11369 0 161 0.61860 1.11369 80.0% - 0s
0 0 1.07155 0 178 0.61860 1.07155 73.2% - 0s
0 0 1.06780 0 179 0.61860 1.06780 72.6% - 0s
0 0 1.03137 0 211 0.61860 1.03137 66.7% - 0s
0 0 1.03076 0 209 0.61860 1.03076 66.6% - 0s
0 0 1.02676 0 216 0.61860 1.02676 66.0% - 0s
0 0 1.02609 0 217 0.61860 1.02609 65.9% - 0s
0 0 1.02392 0 206 0.61860 1.02392 65.5% - 0s
0 0 1.02391 0 214 0.61860 1.02391 65.5% - 0s
0 0 1.02389 0 215 0.61860 1.02389 65.5% - 0s
0 0 1.02382 0 215 0.61860 1.02382 65.5% - 0s
0 0 1.02271 0 211 0.61860 1.02271 65.3% - 0s
0 0 1.02249 0 217 0.61860 1.02249 65.3% - 0s
0 0 1.02152 0 214 0.61860 1.02152 65.1% - 0s
0 0 1.02124 0 216 0.61860 1.02124 65.1% - 0s
0 0 1.02123 0 217 0.61860 1.02123 65.1% - 0s
0 0 1.02123 0 215 0.61860 1.02123 65.1% - 0s
0 0 1.02123 0 191 0.61860 1.02123 65.1% - 0s
0 2 1.02123 0 189 0.61860 1.02123 65.1% - 0s
763 558 0.91428 15 229 0.61860 0.96922 56.7% 24.7 5s
* 1362 618 246 0.6552667 0.96627 47.5% 25.5 6s
3494 1537 0.66488 103 98 0.65527 0.93046 42.0% 20.7 10s
H 5137 2420 0.6637081 0.90597 36.5% 19.8 13s
H 5138 2421 0.6638985 0.90597 36.5% 19.8 13s
H 5139 2411 0.6659829 0.90597 36.0% 19.8 13s
6626 3185 0.83738 48 208 0.66598 0.88880 33.5% 19.3 15s
10295 4278 infeasible 44 0.66598 0.83785 25.8% 18.6 20s
13299 4511 infeasible 39 0.66598 0.80088 20.3% 17.7 25s
17070 5262 infeasible 41 0.66598 0.78272 17.5% 16.4 30s
H18355 5745 0.6669260 0.78023 17.0% 15.8 31s
20853 6437 0.69568 96 80 0.66693 0.77433 16.1% 15.0 49s
21615 6672 0.66804 172 28 0.66693 0.77312 15.9% 14.8 50s
25462 7502 infeasible 93 0.66693 0.76580 14.8% 15.1 55s
28374 8002 0.74510 76 112 0.66693 0.76121 14.1% 15.4 60s
31538 8799 infeasible 70 0.66693 0.75753 13.6% 15.5 65s
34386 9508 0.68378 98 93 0.66693 0.75494 13.2% 15.8 70s
36956 9964 0.69303 71 173 0.66693 0.75237 12.8% 15.9 75s
40233 10766 0.70643 76 148 0.66693 0.74971 12.4% 16.0 80s
42481 11089 0.69606 92 122 0.66693 0.74683 12.0% 16.2 85s
45227 11515 0.72821 66 125 0.66693 0.74427 11.6% 16.4 90s
46769 11763 0.69230 78 95 0.66693 0.74313 11.4% 16.5 95s
49095 12163 0.71659 60 106 0.66693 0.74122 11.1% 16.6 100s
52137 12678 0.70247 76 89 0.66693 0.73882 10.8% 16.8 106s
54190 12961 infeasible 40 0.66693 0.73695 10.5% 17.0 110s
56813 13440 infeasible 60 0.66693 0.73453 10.1% 17.1 115s
59276 13787 0.70527 48 170 0.66693 0.73254 9.84% 17.2 120s
61582 14046 infeasible 109 0.66693 0.73082 9.58% 17.5 125s
63954 14129 infeasible 74 0.66693 0.72823 9.19% 17.6 130s
66492 14258 0.67503 54 161 0.66693 0.72609 8.87% 17.7 135s
68705 14508 0.70103 76 92 0.66693 0.72431 8.60% 17.8 140s
71428 14812 infeasible 131 0.66693 0.72243 8.32% 17.9 148s
71830 14761 0.70936 66 124 0.66693 0.72210 8.27% 17.9 150s
73747 14743 infeasible 111 0.66693 0.72008 7.97% 18.0 155s
75794 14860 infeasible 114 0.66693 0.71849 7.73% 18.1 160s
78069 14868 0.69492 115 101 0.66693 0.71643 7.42% 18.2 165s
80071 14991 infeasible 127 0.66693 0.71494 7.20% 18.2 170s
81743 14897 infeasible 70 0.66693 0.71370 7.01% 18.3 175s
83712 14872 0.68615 80 86 0.66693 0.71205 6.77% 18.4 180s
85858 14894 infeasible 68 0.66693 0.71051 6.53% 18.5 185s
87840 14866 infeasible 101 0.66693 0.70887 6.29% 18.6 190s
89613 14775 0.70584 60 121 0.66693 0.70754 6.09% 18.7 195s
*91165 14698 169 0.6677646 0.70656 5.81% 18.8 199s
91279 14772 infeasible 82 0.66776 0.70637 5.78% 18.8 204s
91288 14688 0.68769 106 69 0.66776 0.70636 5.78% 18.8 205s
93534 14555 infeasible 86 0.66776 0.70475 5.54% 18.8 210s
95346 14438 infeasible 104 0.66776 0.70341 5.34% 18.9 215s
97232 14345 infeasible 122 0.66776 0.70209 5.14% 18.9 220s
99107 14095 0.69319 67 112 0.66776 0.70060 4.92% 19.0 225s
101005 13973 infeasible 76 0.66776 0.69939 4.74% 19.0 230s
102576 13860 infeasible 114 0.66776 0.69841 4.59% 19.1 235s
104695 13483 infeasible 159 0.66776 0.69675 4.34% 19.2 240s
106486 13153 infeasible 125 0.66776 0.69544 4.14% 19.2 245s
108171 12884 infeasible 121 0.66776 0.69432 3.98% 19.3 250s
110177 12525 infeasible 127 0.66776 0.69306 3.79% 19.3 255s
112104 12203 cutoff 95 0.66776 0.69184 3.60% 19.3 260s
114321 11881 0.68642 133 62 0.66776 0.69039 3.39% 19.4 265s
116369 11434 infeasible 81 0.66776 0.68909 3.19% 19.4 270s
118223 11046 cutoff 80 0.66776 0.68797 3.03% 19.4 275s
120116 10573 cutoff 131 0.66776 0.68679 2.85% 19.4 280s
122078 10124 infeasible 85 0.66776 0.68567 2.68% 19.4 285s
124088 9506 0.67568 58 50 0.66776 0.68436 2.49% 19.5 290s
126274 8737 0.68284 109 71 0.66776 0.68294 2.27% 19.5 295s
127819 8223 infeasible 88 0.66776 0.68205 2.14% 19.5 300s
130147 7252 cutoff 149 0.66776 0.68039 1.89% 19.5 305s
132506 6313 infeasible 130 0.66776 0.67868 1.64% 19.5 310s
134669 5306 infeasible 94 0.66776 0.67698 1.38% 19.4 315s
137005 4264 infeasible 86 0.66776 0.67511 1.10% 19.4 320s
139583 2861 cutoff 83 0.66776 0.67260 0.72% 19.3 325s
142310 1115 cutoff 125 0.66776 0.66957 0.27% 19.1 330s
Cutting planes:
Gomory: 116
Cover: 13
Implied bound: 78
Projected implied bound: 50
Clique: 2
MIR: 64
Flow cover: 267
Flow path: 3
Inf proof: 716
Network: 2
Explored 143724 nodes (2740436 simplex iterations) in 332.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.667765 0.666926 0.665983 ... 0.618604
Optimal solution found (tolerance 0.00e+00)
Best objective 6.677645977922e-01, best bound 6.677645977922e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8g54_c4t.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpstj_pbtv.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 747 rows and 557 columns
Presolve time: 0.00s
Presolved: 514 rows, 524 columns, 2215 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.4958129e+02 1.027216e+04 0.000000e+00 0s
357 1.1212901e+01 0.000000e+00 0.000000e+00 0s
Solved in 357 iterations and 0.01 seconds
Optimal objective 1.121290140e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00625169, -0.01389033, -0.01064842]])
fopt: 2.222238644567087
fun: -2.2364986925141666
message: 'Optimization terminated successfully.'
nfev: 141
nit: 2
status: 0
success: True
x: array([ 41.5066338 , -87.99969133, -66.9943857 ])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.90287461e-03, 2.86322049e-03, 5.14835458e-05]])
fopt: 2.0823811793395937
fun: -2.0915270444591916
message: 'Optimization terminated successfully.'
nfev: 204
nit: 3
status: 0
success: True
x: array([ 60.80191819, -86.99284862, -0.99997172])
xopt: array([60., 0., 0.])
zopt: array([60., 60., 60.])
*******************************************
Period: 4
direc: array([[-2.27545763e-01, 6.43195560e-03, 6.43195558e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.51434437e-10, -1.03891396e-03, 4.59237222e-04]])
fopt: 1.523976857552508
fun: -1.5370628160335922
message: 'Optimization terminated successfully.'
nfev: 411
nit: 4
status: 0
success: True
x: array([71.52724111, -0.99822524, -0.99851983])
xopt: array([72., 0., 0.])
zopt: array([72., 72., 72.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.91881688e-05, -4.32433146e-14, -0.00000000e+00]])
fopt: 1.4832062154792856
fun: -1.486841464997524
message: 'Optimization terminated successfully.'
nfev: 279
nit: 2
status: 0
success: True
x: array([88.53023403, 1.00000004, 1. ])
xopt: array([88., 1., 1.])
zopt: array([88., 89., 90.])
*******************************************
Period: 6
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.23120401, -0.00220381, -0.00136203]])
fopt: 1.3831706847352117
fun: -1.3881819582910266
message: 'Optimization terminated successfully.'
nfev: 260
nit: 3
status: 0
success: True
x: array([ 1.06111426e+02, -4.44886313e-02, 3.80710834e-01])
xopt: array([106., 0., 0.])
zopt: array([106., 106., 106.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.84098148e-09, 1.26714492e-17, -5.67300237e-11]])
fopt: 1.35764598747967
fun: -1.3587214047182046
message: 'Optimization terminated successfully.'
nfev: 298
nit: 3
status: 0
success: True
x: array([123.852436 , 1.00000001, -0.36881455])
xopt: array([123., 2., 0.])
zopt: array([123., 125., 125.])
*******************************************
Period: 8
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.274628194168074
fun: -1.277241668998554
message: 'Optimization terminated successfully.'
nfev: 325
nit: 3
status: 0
success: True
x: array([145.73898827, 1.02945207, 1.00568187])
xopt: array([145., 2., 1.])
zopt: array([145., 147., 148.])
*******************************************
Period: 9
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2376: RuntimeWarning: overflow encountered in double_scalars if (w - xc) * (xb - w) > 0.0: /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2396: RuntimeWarning: overflow encountered in double_scalars elif (w - wlim)*(xc - w) > 0.0: /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2392: RuntimeWarning: overflow encountered in double_scalars elif (w - wlim)*(wlim - xc) >= 0.0: /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2371: RuntimeWarning: overflow encountered in double_scalars w = xb - ((xb - xc) * tmp2 - (xb - xa) * tmp1) / denom /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2364: RuntimeWarning: overflow encountered in double_scalars tmp1 = (xb - xa) * (fb - fc) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2365: RuntimeWarning: overflow encountered in double_scalars tmp2 = (xb - xc) * (fb - fa) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2366: RuntimeWarning: invalid value encountered in double_scalars val = tmp2 - tmp1 /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2372: RuntimeWarning: overflow encountered in double_scalars wlim = xb + grow_limit * (xc - xb) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:305: RuntimeWarning: overflow encountered in multiply P = a**n*np.sum(p*S - (r*RR + k*U + h*II)) #discounted profit in period n /home/hdpp/miniconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py:90: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1970: RuntimeWarning: overflow encountered in double_scalars xmid = 0.5 * (a + b) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1984: RuntimeWarning: overflow encountered in double_scalars tmp1 = (x - w) * (fx - fv) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1985: RuntimeWarning: overflow encountered in double_scalars tmp2 = (x - v) * (fx - fw) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1986: RuntimeWarning: invalid value encountered in double_scalars p = (x - v) * tmp2 - (x - w) * tmp1 /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1987: RuntimeWarning: invalid value encountered in double_scalars tmp2 = 2.0 * (tmp2 - tmp1) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2014: RuntimeWarning: overflow encountered in double_scalars u = x - tol1 /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2427: RuntimeWarning: invalid value encountered in multiply return func(p + alpha*xi) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:251: RuntimeWarning: invalid value encountered in greater_equal R[R>=Im1] = Im1[R>=Im1] #enforce available inventory constraint /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:279: RuntimeWarning: invalid value encountered in subtract I = I - S[:-1] #updated inventory at all stages (exclude last stage) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:285: RuntimeWarning: invalid value encountered in subtract U = np.append(D,Rcopy) - S #unfulfilled demand and replenishment orders /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:250: RuntimeWarning: invalid value encountered in greater_equal R[R>=c] = c[R>=c] #enforce capacity constraint /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1972: RuntimeWarning: invalid value encountered in double_scalars if numpy.abs(x - xmid) < (tol2 - 0.5 * (b - a)): /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2016: RuntimeWarning: invalid value encountered in double_scalars u = x + rat
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1480
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.88489978e-02, 5.33038101e-04, -9.57721593e-04]])
fopt: 1.0408684800077312
fun: -1.0433307133140957
message: 'Optimization terminated successfully.'
nfev: 213
nit: 2
status: 0
success: True
x: array([186.54337485, 2.00053304, -0.79774291])
xopt: array([186., 2., 0.])
zopt: array([186., 188., 188.])
*******************************************
Period: 11
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.9413922204603394
fun: -0.936651324808696
message: 'Optimization terminated successfully.'
nfev: 258
nit: 3
status: 0
success: True
x: array([206.98044847, 2.18773818, 2.00655755])
xopt: array([206., 2., 3.])
zopt: array([206., 208., 211.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8313696473836454
fun: -0.8275387622074795
message: 'Optimization terminated successfully.'
nfev: 487
nit: 5
status: 0
success: True
x: array([228.9999436 , 2.08256514, 1.02054833])
xopt: array([228., 2., 2.])
zopt: array([228., 230., 232.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7322917071412075
fun: -0.7283348414037413
message: 'Optimization terminated successfully.'
nfev: 153
nit: 2
status: 0
success: True
x: array([249.92801996, 1.00772904, 1.02334583])
xopt: array([249., 1., 2.])
zopt: array([249., 250., 252.])
*******************************************
Period: 14
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.20508048e-11, -2.89989632e-02, -2.08568576e-06]])
fopt: 0.6413312687429503
fun: -0.6391263817947012
message: 'Optimization terminated successfully.'
nfev: 479
nit: 5
status: 0
success: True
x: array([268.99679308, 1.00583837, 2.00994104])
xopt: array([268., 1., 3.])
zopt: array([268., 269., 272.])
*******************************************
Period: 15
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.31532026e-09, 6.81529560e-12, -5.55873286e-08],
[ 2.20285900e-02, -1.97461856e-02, 1.78493957e-09]])
fopt: 0.6391907574618455
fun: -0.6348563707968561
message: 'Optimization terminated successfully.'
nfev: 505
nit: 7
status: 0
success: True
x: array([267.02021563, 6.00050118, 18.61846885])
xopt: array([267., 6., 19.])
zopt: array([267., 273., 292.])
*******************************************
Period: 16
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.15732679e-03, -2.49681580e-03, 0.00000000e+00],
[-1.02679355e+02, 3.37263542e+01, 6.74970843e+01]])
fopt: 1.1637417275001616
fun: -1.1616328459367966
message: 'Optimization terminated successfully.'
nfev: 572
nit: 8
status: 0
success: True
x: array([148.96193158, 54.00012446, 106.68586747])
xopt: array([148., 55., 106.])
zopt: array([148., 203., 309.])
*******************************************
Period: 17
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-204.66704351, 197.85263536, 131.90175691]])
fopt: 1.3194319998920814
fun: -1.318365845488311
message: 'Optimization terminated successfully.'
nfev: 477
nit: 7
status: 0
success: True
x: array([ 81.9376983 , 122.00519197, 134.86166104])
xopt: array([ 82., 122., 134.])
zopt: array([ 82., 204., 338.])
*******************************************
Period: 18
direc: array([[ 1. , 0. , 0. ],
[ 2.6236816 , 22.96907044, 13.14935185],
[-0.03206571, 0.9801 , 0. ]])
fopt: 1.1858181028746084
fun: -1.18488094501455
message: 'Optimization terminated successfully.'
nfev: 483
nit: 7
status: 0
success: True
x: array([ 82.29749328, 143.10368433, 104.15089265])
xopt: array([ 82., 143., 105.])
zopt: array([ 82., 225., 330.])
*******************************************
Period: 19
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.68286576e+02, 6.42804215e+01, 1.56328225e+02],
[ 4.60819977e-01, 1.99860793e+00, -1.28730949e-03]])
fopt: 1.195745872564802
fun: -1.1931639594106491
message: 'Optimization terminated successfully.'
nfev: 898
nit: 13
status: 0
success: True
x: array([ 87.00003134, 116.0000007 , 176.00000034])
xopt: array([ 87., 117., 176.])
zopt: array([ 87., 204., 380.])
*******************************************
Period: 20
direc: array([[-153.45764476, 38.16259513, 77.26599522],
[ -4.25247653, 23.91728244, 38.40274428],
[ 0. , 1. , 0. ]])
fopt: 1.1338829624995361
fun: -1.1309205492262586
message: 'Optimization terminated successfully.'
nfev: 834
nit: 10
status: 0
success: True
x: array([ 94.52571285, 109. , 188.16752839])
xopt: array([ 94., 110., 188.])
zopt: array([ 94., 204., 392.])
*******************************************
Period: 21
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-2.47436844, 2.4411832 , 81.31826439]])
fopt: 0.9281287655674233
fun: -0.9258061279075293
message: 'Optimization terminated successfully.'
nfev: 438
nit: 6
status: 0
success: True
x: array([191.99990959, 12.08788418, 207.01713115])
xopt: array([191., 12., 208.])
zopt: array([191., 203., 411.])
*******************************************
Period: 22
direc: array([[-221.39403005, 134.35037884, 270.50846916],
[ 3.92428781, -12.92506988, -31.67893046],
[ 0. , 1. , 0. ]])
fopt: 1.0889964141686719
fun: -1.087431499790142
message: 'Optimization terminated successfully.'
nfev: 805
nit: 9
status: 0
success: True
x: array([ 97.26391852, 100. , 215.32294776])
xopt: array([ 97., 100., 215.])
zopt: array([ 97., 197., 412.])
*******************************************
Period: 23
direc: array([[-2.19124618e+02, 2.11828844e+02, 1.41219229e+02],
[-6.37913725e-03, -2.95816686e-03, -1.25458154e-04],
[-6.27729086e-03, -3.43102485e-02, -1.91095091e-04]])
fopt: 0.9806281468141553
fun: -0.9793136650230905
message: 'Optimization terminated successfully.'
nfev: 912
nit: 11
status: 0
success: True
x: array([ 79.16972056, 184.02036472, 146.04959658])
xopt: array([ 79., 184., 147.])
zopt: array([ 79., 263., 410.])
*******************************************
Period: 24
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-214.5853385 , 207.4406998 , 138.29379987]])
fopt: 0.9787244093432143
fun: -0.9765820484370027
message: 'Optimization terminated successfully.'
nfev: 551
nit: 8
status: 0
success: True
x: array([ 81.99998617, 151. , 146.00439618])
xopt: array([ 82., 151., 147.])
zopt: array([ 82., 233., 380.])
*******************************************
Period: 25
direc: array([[-135.42824606, 0.79835545, 168.15092816],
[ -1.1995235 , 1. , 1. ],
[ -12.04115425, 10.06013591, 30.45830075]])
fopt: 0.9491446921416454
fun: -0.9428033863378694
message: 'Optimization terminated successfully.'
nfev: 972
nit: 12
status: 0
success: True
x: array([162.17916156, 28. , 220.0085135 ])
xopt: array([163., 29., 220.])
zopt: array([163., 192., 412.])
*******************************************
Period: 26
direc: array([[-1.48786393e-01, -7.04208795e+01, 6.08374359e-01],
[-2.79388539e-02, -1.01494813e-02, 1.22722869e-01],
[ 0.00000000e+00, 0.00000000e+00, 7.20572018e+01]])
fopt: 0.18099164960433378
fun: -0.795723553515381
message: 'Optimization terminated successfully.'
nfev: 1490
nit: 16
status: 0
success: True
x: array([297.49131858, -94.4913541 , 209.00000002])
xopt: array([297., 0., 209.])
zopt: array([297., 297., 506.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-119.80054387, 0. , 290.76203433]])
fopt: 0.909436454548861
fun: -0.9116815180376454
message: 'Optimization terminated successfully.'
nfev: 856
nit: 10
status: 0
success: True
x: array([201.904988, -1.904988, 218. ])
xopt: array([201., 0., 218.])
zopt: array([201., 201., 419.])
*******************************************
Period: 28
direc: array([[-1.93197872, 0. , 1.9697417 ],
[ 0. , 1. , 0. ],
[ 0.39667003, 27.28363244, 48.24664499]])
fopt: 0.9327495738260573
fun: -0.9317762731470371
message: 'Optimization terminated successfully.'
nfev: 596
nit: 8
status: 0
success: True
x: array([167.49908581, 32. , 215.00000469])
xopt: array([167., 32., 215.])
zopt: array([167., 199., 414.])
*******************************************
Period: 29
direc: array([[-1.22795378e+01, 1.90063368e+00, 1.49638730e+01],
[-1.24743436e+02, 0.00000000e+00, 1.23323301e+02],
[ 4.13397613e-06, -3.65240892e-07, 5.01452450e+01]])
fopt: 0.9024148273745514
fun: -0.9011488631850958
message: 'Optimization terminated successfully.'
nfev: 1117
nit: 14
status: 0
success: True
x: array([184.77462349, 12.00018379, 218. ])
xopt: array([184., 13., 218.])
zopt: array([184., 197., 415.])
*******************************************
Period: 30
direc: array([[-135.40557622, 0. , 145.33738451],
[ 0. , 1. , 0. ],
[ -12.7608396 , 20.09852792, 60.94310709]])
fopt: 0.9038612652773286
fun: -0.9029163733271521
message: 'Optimization terminated successfully.'
nfev: 541
nit: 7
status: 0
success: True
x: array([172.77120991, 26.0000364 , 219. ])
xopt: array([172., 27., 219.])
zopt: array([172., 199., 418.])
*******************************************
Period: 31
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.84105204e+01, 4.09688581e+01, 4.52573291e+01],
[ 6.52959473e-04, 4.43069605e-06, -5.97040030e-04]])
fopt: 0.9244393995307411
fun: -0.9227089006246798
message: 'Optimization terminated successfully.'
nfev: 976
nit: 11
status: 0
success: True
x: array([147.92906975, 51.14171905, 218. ])
xopt: array([147., 52., 218.])
zopt: array([147., 199., 417.])
*******************************************
Period: 32
direc: array([[ 0. , 0. , 1. ],
[-2.9139357 , 0. , 3.19554877],
[ 0.13309517, 31.03945616, 28.43684104]])
fopt: 0.9042614651999495
fun: -0.9038438147703367
message: 'Optimization terminated successfully.'
nfev: 590
nit: 7
status: 0
success: True
x: array([163.29274132, 35.00038529, 215. ])
xopt: array([163., 35., 215.])
zopt: array([163., 198., 413.])
*******************************************
Period: 33
direc: array([[-134.8129563 , 0. , 148.19515057],
[ 0. , 1. , 0. ],
[ 6.77925236, 18.11281087, 36.2227367 ]])
fopt: 0.8920057575893272
fun: -0.8916450348113153
message: 'Optimization terminated successfully.'
nfev: 537
nit: 7
status: 0
success: True
x: array([177.17408472, 22.00000001, 215.00015253])
xopt: array([177., 22., 215.])
zopt: array([177., 199., 414.])
*******************************************
Period: 34
direc: array([[-1.48691273, 0. , 2.00000003],
[ 0. , 1. , 0. ],
[ 0.13888611, 10.12484409, 19.04441616]])
fopt: 0.8748389562584997
fun: -0.873919620857631
message: 'Optimization terminated successfully.'
nfev: 571
nit: 7
status: 0
success: True
x: array([183.83242384, 13.00000184, 215. ])
xopt: array([183., 14., 215.])
zopt: array([183., 197., 412.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 1. ],
[-1.70273813, 0. , 2.00000003],
[ 0.08230844, 25.39767062, 24.04278533]])
fopt: 0.8885516161441938
fun: -0.8872220825248754
message: 'Optimization terminated successfully.'
nfev: 457
nit: 6
status: 0
success: True
x: array([169.13060917, 29.24276542, 214. ])
xopt: array([169., 29., 214.])
zopt: array([169., 198., 412.])
*******************************************
Period: 36
direc: array([[ 0. , 0. , 1. ],
[-1.76109413, 0. , 2.39721799],
[ 0.00725705, -0.01123224, -0.01105324]])
fopt: 0.8763643242126838
fun: -0.8752408662131691
message: 'Optimization terminated successfully.'
nfev: 661
nit: 8
status: 0
success: True
x: array([173.77589126, 26.02020304, 212. ])
xopt: array([173., 27., 212.])
zopt: array([173., 200., 412.])
*******************************************
Period: 37
direc: array([[-132.09325843, 0. , 104.92237305],
[ -59.06095331, 37.99730862, 84.3958663 ],
[ 3.31285644, 1.13829302, -0.35252757]])
fopt: 0.8822972550511372
fun: -0.8811519652315403
message: 'Optimization terminated successfully.'
nfev: 861
nit: 11
status: 0
success: True
x: array([143.64865761, 55. , 211.00000017])
xopt: array([144., 56., 211.])
zopt: array([144., 200., 411.])
*******************************************
Period: 38
direc: array([[ 2.28220268e-01, 3.61403899e+01, 3.53575884e+01],
[-1.93612711e+00, 0.00000000e+00, 2.00000003e+00],
[ 7.94268844e-03, -1.31532716e-04, -9.99999357e-01]])
fopt: 0.8687644278695802
fun: -0.8681760793338398
message: 'Optimization terminated successfully.'
nfev: 652
nit: 8
status: 0
success: True
x: array([160.4622442 , 40.00018229, 210. ])
xopt: array([160., 41., 210.])
zopt: array([160., 201., 411.])
*******************************************
Period: 39
direc: array([[ -2.99999995, 2. , 0. ],
[ -1.39300799, 0. , 2.00987459],
[-71.27393906, 56.90534162, 0. ]])
fopt: 0.8687904264382994
fun: -0.8637548590179214
message: 'Optimization terminated successfully.'
nfev: 1438
nit: 17
status: 0
success: True
x: array([ 64.7329189, 110. , 211. ])
xopt: array([ 65., 111., 212.])
zopt: array([ 65., 176., 388.])
*******************************************
Period: 40
direc: array([[1. , 0. , 0. ],
[0. , 1. , 0. ],
[0.11609523, 0. , 0.98071356]])
fopt: 0.32945468528482835
fun: -0.32910366179080586
message: 'Optimization terminated successfully.'
nfev: 344
nit: 4
status: 0
success: True
x: array([323.00000141, 2. , 4.00356335])
xopt: array([323., 2., 5.])
zopt: array([323., 325., 330.])
*******************************************
Period: 41
direc: array([[-1.31393006e+02, -6.16202556e-01, 1.51992750e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.34727090e+00, 5.92219845e-01, -2.93136484e-02]])
fopt: 0.8188787996044855
fun: -0.8179478165727758
message: 'Optimization terminated successfully.'
nfev: 451
nit: 8
status: 0
success: True
x: array([194.95669708, 7.00000403, 209.00051778])
xopt: array([194., 7., 210.])
zopt: array([194., 201., 411.])
*******************************************
Period: 42
direc: array([[ 0.15772152, 0. , 1. ],
[ 0. , 1. , 0. ],
[-4.85386559, 5.85989401, 5.55327012]])
fopt: 0.8585910168169507
fun: -0.8581727861346097
message: 'Optimization terminated successfully.'
nfev: 639
nit: 8
status: 0
success: True
x: array([136.39408771, 64.00000008, 211. ])
xopt: array([136., 64., 211.])
zopt: array([136., 200., 411.])
*******************************************
Period: 43
direc: array([[-1.34674547e+02, 0.00000000e+00, 1.18646806e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.03020872e-02, 1.02482683e+00, 2.01558608e+00]])
fopt: 0.8061887794983702
fun: -0.8055682019202884
message: 'Optimization terminated successfully.'
nfev: 551
nit: 7
status: 0
success: True
x: array([193.98816413, 6.00002496, 211. ])
xopt: array([193., 7., 211.])
zopt: array([193., 200., 411.])
*******************************************
Period: 44
direc: array([[-10.44057061, 0. , 7.23134962],
[ 0. , 1. , 0. ],
[ 0.30822035, 0.04708068, 5.04817724]])
fopt: 0.7936353343194905
fun: -0.793124885775466
message: 'Optimization terminated successfully.'
nfev: 564
nit: 7
status: 0
success: True
x: array([195.75003153, 4.00000153, 212.00000001])
xopt: array([195., 5., 212.])
zopt: array([195., 200., 412.])
*******************************************
Period: 45
direc: array([[-7.76042318e+00, 0.00000000e+00, 6.00000008e+00],
[ 1.13642109e+00, 2.29707867e+01, 7.40409121e+01],
[-4.29898978e-08, -5.91088325e-03, 3.35837801e-08]])
fopt: 0.8105950750215825
fun: -0.8094891198373587
message: 'Optimization terminated successfully.'
nfev: 805
nit: 9
status: 0
success: True
x: array([164.85019908, 33.00000005, 211. ])
xopt: array([165., 34., 211.])
zopt: array([165., 199., 410.])
*******************************************
Period: 46
direc: array([[-10.61917639, 0. , 7.0322191 ],
[ 0. , 1. , 0. ],
[ 3.37013952, 38.30513123, 72.24382173]])
fopt: 0.8059081617153451
fun: -0.8058058929452687
message: 'Optimization terminated successfully.'
nfev: 896
nit: 12
status: 0
success: True
x: array([149.04888329, 52.00000014, 209. ])
xopt: array([149., 52., 210.])
zopt: array([149., 201., 411.])
*******************************************
Period: 47
direc: array([[-1.30033525e+02, 1.18541518e-01, 1.08000112e+02],
[-6.55391078e-02, -2.10551921e-04, 6.84933865e-04],
[ 1.36212134e-04, -1.36002475e-04, -1.31903109e-04]])
fopt: 0.5857166763649846
fun: -0.5837585339208357
message: 'Optimization terminated successfully.'
nfev: 622
nit: 9
status: 0
success: True
x: array([202.0000224 , 2.00777369, 130.00000005])
xopt: array([202., 2., 131.])
zopt: array([202., 204., 335.])
*******************************************
Period: 48
direc: array([[27.21662845, 2.618034 , 44.34623603],
[ 0. , 1. , 0. ],
[-5.29981445, 2.22048893, 5.0053766 ]])
fopt: 0.76679705214974
fun: -0.7660945211060657
message: 'Optimization terminated successfully.'
nfev: 591
nit: 8
status: 0
success: True
x: array([187.86511045, 13.00000127, 209.00000019])
xopt: array([187., 13., 210.])
zopt: array([187., 200., 410.])
*******************************************
Period: 49
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.83548189e+01, 1.10441324e+01, 7.36275494e+00],
[-2.70482967e-01, 9.99983845e-01, -1.07701825e-05]])
fopt: 0.6430834962709236
fun: -0.6395103404046889
message: 'Optimization terminated successfully.'
nfev: 575
nit: 8
status: 0
success: True
x: array([ 82.00000279, 153. , 100.48198564])
xopt: array([ 82., 154., 101.])
zopt: array([ 82., 236., 337.])
*******************************************
Period: 50
direc: array([[-2.12557602e-08, -1.04356054e-05, -1.01280648e-05],
[-2.18544348e+02, 9.65036069e+01, 1.11374759e+02],
[-0.00000000e+00, 2.37240920e-15, -1.29177717e-02]])
fopt: 0.6672075547225047
fun: -0.6616420820304386
message: 'Optimization terminated successfully.'
nfev: 817
nit: 10
status: 0
success: True
x: array([ 82.7311674 , 116. , 137.00000043])
xopt: array([ 83., 117., 138.])
zopt: array([ 83., 200., 338.])
*******************************************
Period: 51
direc: array([[-2.23563616e+02, 1.03316551e+02, 1.03316551e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.98526207e-02, 4.46119373e+01, 4.64116676e+01]])
fopt: 0.7803462763642173
fun: -0.779551776969307
message: 'Optimization terminated successfully.'
nfev: 649
nit: 9
status: 0
success: True
x: array([ 79.67225698, 162. , 167.02274219])
xopt: array([ 79., 162., 168.])
zopt: array([ 79., 241., 409.])
*******************************************
Period: 52
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.62348804e+02, 1.33454783e+02, 8.01506096e+01],
[-4.65383059e-07, 6.08474525e+00, 0.00000000e+00]])
fopt: 0.6964450971483693
fun: -0.6954112281589175
message: 'Optimization terminated successfully.'
nfev: 973
nit: 13
status: 0
success: True
x: array([ 81.99354366, 227.00000001, 93.00007136])
xopt: array([ 81., 227., 94.])
zopt: array([ 81., 308., 402.])
*******************************************
Period: 53
direc: array([[ -5.26766868, 1. , 1. ],
[-220.91906911, 97.55236905, 83.77589063],
[ 0. , 95.38923289, 0. ]])
fopt: 0.6954233976845849
fun: -0.6928618910683371
message: 'Optimization terminated successfully.'
nfev: 1335
nit: 14
status: 0
success: True
x: array([ 81.33001827, 219.000027 , 99. ])
xopt: array([ 82., 220., 100.])
zopt: array([ 82., 302., 402.])
*******************************************
Period: 54
direc: array([[-8.64242598e+00, 3.00000000e+00, 3.00000000e+00],
[-2.28405290e+02, 9.24993188e+01, 1.06032627e+02],
[-3.16114571e-05, -4.02103066e-04, 1.26504266e-05]])
fopt: 0.5662246824405518
fun: -0.5583765208201907
message: 'Optimization terminated successfully.'
nfev: 460
nit: 7
status: 0
success: True
x: array([ 86.27962618, 105. , 116.03650016])
xopt: array([ 87., 106., 117.])
zopt: array([ 87., 193., 310.])
*******************************************
Period: 55
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-43.53613658, 48.88128826, 63.72755481]])
fopt: 0.7709054443867825
fun: -0.7704304924811728
message: 'Optimization terminated successfully.'
nfev: 404
nit: 7
status: 0
success: True
x: array([ 77.00021743, 139.00000001, 187.09386925])
xopt: array([ 77., 139., 188.])
zopt: array([ 77., 216., 404.])
*******************************************
Period: 56
direc: array([[ 1. , 0. , 0. ],
[-0. , 0. , 0. ],
[ 0.00801632, -0.00449982, -0. ]])
fopt: 0.3653409063849945
fun: -0.36352555898981154
message: 'Optimization terminated successfully.'
nfev: 590
nit: 9
status: 0
success: True
x: array([248.51017882, 76.0542161 , 5.00024591])
xopt: array([248., 77., 6.])
zopt: array([248., 325., 331.])
*******************************************
Period: 57
direc: array([[ 1. , 0. , 0. ],
[-6.17503004, 1. , 1.98805396],
[-0. , 0. , 0. ]])
fopt: 0.3277196149476314
fun: -0.32630050892544626
message: 'Optimization terminated successfully.'
nfev: 324
nit: 4
status: 0
success: True
x: array([365.00059082, 5. , 7.00020066])
xopt: array([365., 5., 8.])
zopt: array([365., 370., 378.])
*******************************************
Period: 58
direc: array([[1. , 0. , 0. ],
[0. , 1. , 0. ],
[0.31474305, 1. , 1.01366038]])
fopt: 0.32101439527825
fun: -0.3200015768380977
message: 'Optimization terminated successfully.'
nfev: 317
nit: 4
status: 0
success: True
x: array([393.99925076, 4.00000523, 4.02734635])
xopt: array([393., 4., 5.])
zopt: array([393., 397., 402.])
*******************************************
Period: 59
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.00237023e+02, 1.50194058e+02, 1.00302003e+02],
[-8.58822411e-06, 4.90548830e+01, 0.00000000e+00]])
fopt: 0.6694320161925297
fun: -0.6673841698787064
message: 'Optimization terminated successfully.'
nfev: 961
nit: 12
status: 0
success: True
x: array([ 81.99998957, 212. , 107.27731649])
xopt: array([ 81., 213., 108.])
zopt: array([ 81., 294., 402.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpibv4waox.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppb0vjx32.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1k3qo5sv.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_bewemsg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.996581
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 2.222239e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.2222386 2.22224 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.22224 0.996581
Optimal solution found (tolerance 1.00e-02)
Best objective 2.222238644567e+00, best bound 2.222238644567e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9y1mwfl5.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuf349cr0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09421
Presolve removed 98 rows and 70 columns
Presolve time: 0.00s
Presolved: 47 rows, 39 columns, 159 nonzeros
Variable types: 18 continuous, 21 integer (17 binary)
Root relaxation: objective 2.564119e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.56412 0 6 1.09421 2.56412 134% - 0s
H 0 0 2.0823812 2.56412 23.1% - 0s
0 0 2.20047 0 1 2.08238 2.20047 5.67% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.08238 1.09421
Optimal solution found (tolerance 1.00e-02)
Best objective 2.082381179340e+00, best bound 2.082381179340e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm__wk2dn.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplqs9ci7w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51876
Presolve removed 150 rows and 106 columns
Presolve time: 0.00s
Presolved: 41 rows, 36 columns, 140 nonzeros
Variable types: 19 continuous, 17 integer (14 binary)
Root relaxation: objective 1.561876e+00, 20 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56188 0 3 1.51876 1.56188 2.84% - 0s
H 0 0 1.5239769 1.56188 2.49% - 0s
0 0 cutoff 0 1.52398 1.52398 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Explored 1 nodes (22 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52398 1.51876
Optimal solution found (tolerance 1.00e-02)
Best objective 1.523976857553e+00, best bound 1.523976857553e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_v37sifl.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1_f8z__z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11563
Presolve removed 145 rows and 100 columns
Presolve time: 0.00s
Presolved: 92 rows, 75 columns, 324 nonzeros
Variable types: 38 continuous, 37 integer (33 binary)
Root relaxation: objective 1.876683e+00, 55 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87668 0 3 1.11563 1.87668 68.2% - 0s
H 0 0 1.5322952 1.87668 22.5% - 0s
H 0 0 1.5699106 1.87668 19.5% - 0s
0 0 1.63130 0 1 1.56991 1.63130 3.91% - 0s
0 0 cutoff 0 1.56991 1.56991 0.00% - 0s
Cutting planes:
Flow cover: 2
Explored 1 nodes (73 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.56991 1.5323 1.11563
Optimal solution found (tolerance 1.00e-02)
Best objective 1.569910601317e+00, best bound 1.569910601317e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7yp48689.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeaykl66i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19738
Presolve removed 136 rows and 91 columns
Presolve time: 0.00s
Presolved: 147 rows, 117 columns, 523 nonzeros
Variable types: 59 continuous, 58 integer (53 binary)
Root relaxation: objective 2.184943e+00, 99 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.18494 0 6 1.19738 2.18494 82.5% - 0s
H 0 0 1.6579710 2.18494 31.8% - 0s
0 0 1.88736 0 2 1.65797 1.88736 13.8% - 0s
0 0 1.88736 0 2 1.65797 1.88736 13.8% - 0s
H 0 0 1.6757712 1.88736 12.6% - 0s
0 0 1.79654 0 1 1.67577 1.79654 7.21% - 0s
0 0 infeasible 0 1.67577 1.67577 0.00% - 0s
Explored 1 nodes (171 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.67577 1.65797 1.19738
Optimal solution found (tolerance 1.00e-02)
Best objective 1.675771178479e+00, best bound 1.675771178479e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb4unx_33.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoybt9o_g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32644
Presolve removed 150 rows and 99 columns
Presolve time: 0.00s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.227579e+00, 122 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22758 0 10 1.32644 2.22758 67.9% - 0s
0 0 2.06323 0 15 1.32644 2.06323 55.5% - 0s
0 0 1.95336 0 14 1.32644 1.95336 47.3% - 0s
0 0 1.95304 0 13 1.32644 1.95304 47.2% - 0s
0 0 1.95304 0 9 1.32644 1.95304 47.2% - 0s
H 0 0 1.6902435 1.95304 15.5% - 0s
0 1 1.95304 0 9 1.69024 1.95304 15.5% - 0s
Cutting planes:
Gomory: 5
Implied bound: 4
Flow cover: 8
Explored 35 nodes (350 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.69024 1.32644
Optimal solution found (tolerance 1.00e-02)
Best objective 1.690243546109e+00, best bound 1.690243546109e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5n2glaps.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0or9iun7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.38808
Presolve removed 165 rows and 108 columns
Presolve time: 0.00s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.223975e+00, 143 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22398 0 12 1.38808 2.22398 60.2% - 0s
0 0 1.96672 0 16 1.38808 1.96672 41.7% - 0s
0 0 1.96653 0 16 1.38808 1.96653 41.7% - 0s
0 0 1.96653 0 17 1.38808 1.96653 41.7% - 0s
0 0 1.96653 0 18 1.38808 1.96653 41.7% - 0s
0 0 1.96653 0 14 1.38808 1.96653 41.7% - 0s
H 0 0 1.5147671 1.96653 29.8% - 0s
H 0 0 1.5343626 1.96653 28.2% - 0s
0 2 1.96653 0 14 1.53436 1.96653 28.2% - 0s
H 7 8 1.5391727 1.76995 15.0% 8.9 0s
H 9 10 1.5629673 1.74623 11.7% 8.8 0s
Cutting planes:
Gomory: 4
Implied bound: 3
MIR: 2
Flow cover: 12
Explored 52 nodes (494 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.56297 1.53917 1.53436 ... 1.38808
Optimal solution found (tolerance 1.00e-02)
Best objective 1.562967293211e+00, best bound 1.564989580627e+00, gap 0.1294%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmbgswix8.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsjv2g8mo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31184
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.165567e+00, 170 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16557 0 14 1.31184 2.16557 65.1% - 0s
0 0 1.91861 0 13 1.31184 1.91861 46.3% - 0s
0 0 1.91533 0 19 1.31184 1.91533 46.0% - 0s
0 0 1.91533 0 16 1.31184 1.91533 46.0% - 0s
0 0 1.91010 0 14 1.31184 1.91010 45.6% - 0s
0 0 1.90985 0 15 1.31184 1.90985 45.6% - 0s
0 0 1.90966 0 15 1.31184 1.90966 45.6% - 0s
0 0 1.90966 0 16 1.31184 1.90966 45.6% - 0s
0 0 1.90966 0 16 1.31184 1.90966 45.6% - 0s
H 0 0 1.4636799 1.90966 30.5% - 0s
0 2 1.90966 0 16 1.46368 1.90966 30.5% - 0s
* 43 0 15 1.4872354 1.48724 0.00% 5.3 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 5
MIR: 4
Flow cover: 13
Explored 46 nodes (539 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.48724 1.46368 1.31184
Optimal solution found (tolerance 1.00e-02)
Best objective 1.487235358436e+00, best bound 1.487235358436e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpid6ppg3k.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp933k00xg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25318
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 2.137513e+00, 208 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13751 0 15 1.25318 2.13751 70.6% - 0s
0 0 1.90217 0 15 1.25318 1.90217 51.8% - 0s
0 0 1.90141 0 19 1.25318 1.90141 51.7% - 0s
0 0 1.90141 0 19 1.25318 1.90141 51.7% - 0s
0 0 1.89591 0 17 1.25318 1.89591 51.3% - 0s
0 0 1.88796 0 17 1.25318 1.88796 50.7% - 0s
0 0 1.88796 0 17 1.25318 1.88796 50.7% - 0s
0 0 1.88796 0 18 1.25318 1.88796 50.7% - 0s
0 0 1.88796 0 18 1.25318 1.88796 50.7% - 0s
0 2 1.88796 0 18 1.25318 1.88796 50.7% - 0s
* 53 16 19 1.4206609 1.65504 16.5% 6.5 0s
* 118 0 17 1.4258735 1.58804 11.4% 5.3 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 10
MIR: 3
Flow cover: 15
Inf proof: 3
Explored 126 nodes (989 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.42587 1.42066 1.25318
Optimal solution found (tolerance 1.00e-02)
Best objective 1.425873488886e+00, best bound 1.425873488886e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp88nxi47y.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpao3hsw50.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24558
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.122773e+00, 220 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12277 0 18 1.24558 2.12277 70.4% - 0s
0 0 1.87562 0 30 1.24558 1.87562 50.6% - 0s
0 0 1.83847 0 30 1.24558 1.83847 47.6% - 0s
0 0 1.83018 0 29 1.24558 1.83018 46.9% - 0s
0 0 1.83012 0 29 1.24558 1.83012 46.9% - 0s
0 0 1.80083 0 24 1.24558 1.80083 44.6% - 0s
0 0 1.80083 0 25 1.24558 1.80083 44.6% - 0s
0 0 1.80083 0 25 1.24558 1.80083 44.6% - 0s
0 2 1.80083 0 24 1.24558 1.80083 44.6% - 0s
* 89 21 19 1.2532090 1.47256 17.5% 5.0 0s
* 102 16 20 1.3228340 1.47256 11.3% 5.0 0s
* 150 20 18 1.3463220 1.42576 5.90% 5.1 0s
* 204 0 19 1.4033695 1.41120 0.56% 5.2 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 10
MIR: 5
Flow cover: 19
Inf proof: 1
Explored 234 nodes (1588 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.40337 1.34632 1.32283 ... 1.24558
Optimal solution found (tolerance 1.00e-02)
Best objective 1.403369530610e+00, best bound 1.403369530610e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzvl35ud3.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp_n78jv3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21355
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.178513e+00, 280 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17851 0 20 1.21355 2.17851 79.5% - 0s
0 0 1.92273 0 33 1.21355 1.92273 58.4% - 0s
0 0 1.90384 0 36 1.21355 1.90384 56.9% - 0s
0 0 1.89842 0 36 1.21355 1.89842 56.4% - 0s
0 0 1.89838 0 36 1.21355 1.89838 56.4% - 0s
0 0 1.88089 0 34 1.21355 1.88089 55.0% - 0s
0 0 1.87645 0 34 1.21355 1.87645 54.6% - 0s
0 0 1.87645 0 34 1.21355 1.87645 54.6% - 0s
0 0 1.87071 0 34 1.21355 1.87071 54.2% - 0s
0 0 1.87032 0 39 1.21355 1.87032 54.1% - 0s
0 0 1.87032 0 39 1.21355 1.87032 54.1% - 0s
0 0 1.86980 0 37 1.21355 1.86980 54.1% - 0s
0 0 1.86980 0 37 1.21355 1.86980 54.1% - 0s
0 2 1.86980 0 37 1.21355 1.86980 54.1% - 0s
* 157 52 27 1.2335993 1.60891 30.4% 6.3 0s
* 226 72 27 1.2898390 1.60471 24.4% 6.0 0s
* 252 52 26 1.3537392 1.58573 17.1% 5.8 0s
* 369 26 28 1.4217821 1.51522 6.57% 5.5 0s
* 504 0 28 1.4298428 1.48918 4.15% 5.0 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 17
MIR: 5
Flow cover: 24
Inf proof: 3
Explored 536 nodes (3186 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.42984 1.42178 1.35374 ... 1.21355
Optimal solution found (tolerance 1.00e-02)
Best objective 1.429842753544e+00, best bound 1.429842753544e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe27u7ics.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppsmi04l2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2549
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.171798e+00, 304 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17180 0 23 1.25490 2.17180 73.1% - 0s
0 0 1.88635 0 31 1.25490 1.88635 50.3% - 0s
0 0 1.88635 0 32 1.25490 1.88635 50.3% - 0s
0 0 1.85451 0 34 1.25490 1.85451 47.8% - 0s
0 0 1.85102 0 37 1.25490 1.85102 47.5% - 0s
0 0 1.85033 0 37 1.25490 1.85033 47.4% - 0s
0 0 1.84135 0 41 1.25490 1.84135 46.7% - 0s
0 0 1.84121 0 43 1.25490 1.84121 46.7% - 0s
0 0 1.84047 0 37 1.25490 1.84047 46.7% - 0s
0 0 1.84047 0 37 1.25490 1.84047 46.7% - 0s
0 2 1.84047 0 34 1.25490 1.84047 46.7% - 0s
* 207 53 38 1.4287065 1.54047 7.82% 6.3 0s
* 392 17 35 1.4365236 1.49750 4.24% 5.4 0s
Cutting planes:
Gomory: 17
Cover: 1
Implied bound: 15
MIR: 7
Flow cover: 21
Inf proof: 1
Explored 442 nodes (2974 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.43652 1.42871 1.2549
Optimal solution found (tolerance 1.00e-02)
Best objective 1.436523591255e+00, best bound 1.436523591255e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzmyyhn_u.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo14qoibf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27861
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.157709e+00, 336 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15771 0 26 1.27861 2.15771 68.8% - 0s
0 0 1.84100 0 32 1.27861 1.84100 44.0% - 0s
0 0 1.84100 0 33 1.27861 1.84100 44.0% - 0s
0 0 1.81412 0 34 1.27861 1.81412 41.9% - 0s
0 0 1.81262 0 34 1.27861 1.81262 41.8% - 0s
0 0 1.81103 0 33 1.27861 1.81103 41.6% - 0s
0 0 1.80249 0 37 1.27861 1.80249 41.0% - 0s
0 0 1.80224 0 38 1.27861 1.80224 41.0% - 0s
0 0 1.80195 0 40 1.27861 1.80195 40.9% - 0s
0 0 1.80195 0 40 1.27861 1.80195 40.9% - 0s
0 2 1.80195 0 37 1.27861 1.80195 40.9% - 0s
* 244 58 38 1.3998344 1.58814 13.5% 6.5 0s
Cutting planes:
Gomory: 16
Cover: 3
Implied bound: 23
MIR: 7
Flow cover: 22
Inf proof: 6
Explored 695 nodes (4313 simplex iterations) in 0.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.39983 1.27861
Optimal solution found (tolerance 1.00e-02)
Best objective 1.399834409347e+00, best bound 1.399834409347e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvkxr9s0o.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppb_aubd0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2578
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.138032e+00, 352 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13803 0 29 1.25780 2.13803 70.0% - 0s
0 0 1.80056 0 41 1.25780 1.80056 43.2% - 0s
0 0 1.76345 0 42 1.25780 1.76345 40.2% - 0s
0 0 1.76211 0 41 1.25780 1.76211 40.1% - 0s
0 0 1.76211 0 42 1.25780 1.76211 40.1% - 0s
0 0 1.75298 0 37 1.25780 1.75298 39.4% - 0s
0 0 1.75251 0 44 1.25780 1.75251 39.3% - 0s
0 0 1.75207 0 39 1.25780 1.75207 39.3% - 0s
0 0 1.75196 0 38 1.25780 1.75196 39.3% - 0s
0 0 1.75081 0 43 1.25780 1.75081 39.2% - 0s
0 0 1.75081 0 40 1.25780 1.75081 39.2% - 0s
0 2 1.75081 0 40 1.25780 1.75081 39.2% - 0s
* 310 76 41 1.3897017 1.51813 9.24% 8.6 0s
Cutting planes:
Gomory: 17
Cover: 2
Implied bound: 19
MIR: 13
Flow cover: 29
Inf proof: 10
Explored 989 nodes (7503 simplex iterations) in 0.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.3897 1.2578
Optimal solution found (tolerance 1.00e-02)
Best objective 1.389701712464e+00, best bound 1.389701712464e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptg_0d86o.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp28tbcvvr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26059
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.093658e+00, 335 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09366 0 32 1.26059 2.09366 66.1% - 0s
0 0 1.74757 0 51 1.26059 1.74757 38.6% - 0s
0 0 1.72784 0 57 1.26059 1.72784 37.1% - 0s
0 0 1.72734 0 54 1.26059 1.72734 37.0% - 0s
0 0 1.71959 0 49 1.26059 1.71959 36.4% - 0s
0 0 1.71867 0 51 1.26059 1.71867 36.3% - 0s
0 0 1.71867 0 50 1.26059 1.71867 36.3% - 0s
0 0 1.71776 0 53 1.26059 1.71776 36.3% - 0s
0 0 1.71776 0 43 1.26059 1.71776 36.3% - 0s
0 2 1.71776 0 42 1.26059 1.71776 36.3% - 0s
* 563 191 43 1.3564856 1.48316 9.34% 6.9 0s
Cutting planes:
Gomory: 18
Cover: 4
Implied bound: 25
MIR: 12
Flow cover: 26
Inf proof: 15
Explored 1170 nodes (8865 simplex iterations) in 0.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35649 1.26059
Optimal solution found (tolerance 1.00e-02)
Best objective 1.356485605552e+00, best bound 1.358425733902e+00, gap 0.1430%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsvvvnxbd.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppetdpen9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23898
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 2.057325e+00, 413 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05733 0 35 1.23898 2.05733 66.1% - 0s
0 0 1.70799 0 46 1.23898 1.70799 37.9% - 0s
0 0 1.68391 0 55 1.23898 1.68391 35.9% - 0s
0 0 1.68291 0 52 1.23898 1.68291 35.8% - 0s
0 0 1.68288 0 52 1.23898 1.68288 35.8% - 0s
0 0 1.67418 0 50 1.23898 1.67418 35.1% - 0s
0 0 1.67412 0 51 1.23898 1.67412 35.1% - 0s
0 0 1.67220 0 53 1.23898 1.67220 35.0% - 0s
0 0 1.67220 0 53 1.23898 1.67220 35.0% - 0s
0 2 1.67220 0 50 1.23898 1.67220 35.0% - 0s
* 828 175 44 1.2545552 1.41302 12.6% 8.6 0s
* 889 173 46 1.2944525 1.41204 9.08% 8.3 0s
* 941 100 43 1.3344325 1.39308 4.39% 8.1 0s
* 1160 28 43 1.3357875 1.35907 1.74% 7.3 0s
Cutting planes:
Gomory: 23
Cover: 13
Implied bound: 26
MIR: 15
Flow cover: 41
Inf proof: 27
Explored 1192 nodes (9292 simplex iterations) in 0.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.33579 1.33443 1.29445 ... 1.23898
Optimal solution found (tolerance 1.00e-02)
Best objective 1.335787474214e+00, best bound 1.345733240396e+00, gap 0.7446%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpik2t83r6.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpodns_wnv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24483
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.955967e+00, 421 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95597 0 38 1.24483 1.95597 57.1% - 0s
0 0 1.61753 0 46 1.24483 1.61753 29.9% - 0s
0 0 1.57317 0 53 1.24483 1.57317 26.4% - 0s
0 0 1.56723 0 54 1.24483 1.56723 25.9% - 0s
0 0 1.56164 0 58 1.24483 1.56164 25.4% - 0s
0 0 1.56163 0 58 1.24483 1.56163 25.4% - 0s
0 0 1.56038 0 57 1.24483 1.56038 25.3% - 0s
0 0 1.56038 0 57 1.24483 1.56038 25.3% - 0s
0 2 1.56038 0 57 1.24483 1.56038 25.3% - 0s
* 748 100 49 1.2480500 1.32266 5.98% 8.9 0s
* 778 89 40 1.2595239 1.32101 4.88% 8.8 0s
Cutting planes:
Gomory: 23
Cover: 5
Implied bound: 22
MIR: 13
Flow cover: 47
Inf proof: 14
Explored 940 nodes (8521 simplex iterations) in 0.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.25952 1.24805 1.24483
Optimal solution found (tolerance 1.00e-02)
Best objective 1.259523931141e+00, best bound 1.266025862385e+00, gap 0.5162%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcafrn123.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5ly1_32c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14855
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.973659e+00, 472 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97366 0 41 1.14855 1.97366 71.8% - 0s
0 0 1.62775 0 54 1.14855 1.62775 41.7% - 0s
0 0 1.60305 0 57 1.14855 1.60305 39.6% - 0s
0 0 1.58892 0 56 1.14855 1.58892 38.3% - 0s
0 0 1.58879 0 56 1.14855 1.58879 38.3% - 0s
0 0 1.58860 0 56 1.14855 1.58860 38.3% - 0s
0 0 1.58690 0 55 1.14855 1.58690 38.2% - 0s
0 0 1.58682 0 57 1.14855 1.58682 38.2% - 0s
0 0 1.58682 0 50 1.14855 1.58682 38.2% - 0s
0 2 1.58682 0 50 1.14855 1.58682 38.2% - 0s
* 815 270 57 1.1533036 1.36172 18.1% 7.6 0s
* 819 269 58 1.1536691 1.36172 18.0% 7.6 0s
* 1607 429 52 1.2029416 1.31747 9.52% 6.2 0s
* 1900 434 50 1.2037391 1.31272 9.05% 6.0 1s
* 2371 378 52 1.2211963 1.29852 6.33% 5.9 1s
Cutting planes:
Gomory: 22
Cover: 5
Implied bound: 27
MIR: 8
Flow cover: 43
Inf proof: 37
Explored 3069 nodes (18779 simplex iterations) in 1.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.2212 1.20374 1.20294 ... 1.14855
Optimal solution found (tolerance 1.00e-02)
Best objective 1.221196326032e+00, best bound 1.227363695393e+00, gap 0.5050%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpau5xv3zi.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeorkbts4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13127
Presolve removed 325 rows and 205 columns
Presolve time: 0.01s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.901256e+00, 532 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90126 0 46 1.13127 1.90126 68.1% - 0s
0 0 1.54753 0 56 1.13127 1.54753 36.8% - 0s
0 0 1.51143 0 53 1.13127 1.51143 33.6% - 0s
0 0 1.50468 0 52 1.13127 1.50468 33.0% - 0s
0 0 1.50468 0 55 1.13127 1.50468 33.0% - 0s
0 0 1.49598 0 60 1.13127 1.49598 32.2% - 0s
0 0 1.49558 0 61 1.13127 1.49558 32.2% - 0s
0 0 1.49511 0 63 1.13127 1.49511 32.2% - 0s
0 0 1.49511 0 62 1.13127 1.49511 32.2% - 0s
0 0 1.49408 0 63 1.13127 1.49408 32.1% - 0s
0 0 1.49408 0 53 1.13127 1.49408 32.1% - 0s
0 2 1.49408 0 52 1.13127 1.49408 32.1% - 0s
* 1337 264 65 1.1342743 1.23961 9.29% 7.5 0s
* 1405 221 55 1.1523443 1.23573 7.24% 7.3 0s
* 1476 236 52 1.1524875 1.22657 6.43% 7.3 0s
* 1821 0 52 1.1671992 1.17062 0.29% 7.0 1s
Cutting planes:
Gomory: 15
Cover: 7
Implied bound: 29
MIR: 20
Flow cover: 34
Inf proof: 14
Explored 1876 nodes (13863 simplex iterations) in 1.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.1672 1.15249 1.15234 ... 1.13127
Optimal solution found (tolerance 1.00e-02)
Best objective 1.167199179134e+00, best bound 1.167199179134e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbej69zgb.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpij5z_aqr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08539
Presolve removed 338 rows and 213 columns
Presolve time: 0.01s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.862868e+00, 572 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86287 0 48 1.08539 1.86287 71.6% - 0s
0 0 1.50691 0 60 1.08539 1.50691 38.8% - 0s
0 0 1.48178 0 65 1.08539 1.48178 36.5% - 0s
0 0 1.48062 0 60 1.08539 1.48062 36.4% - 0s
0 0 1.48059 0 62 1.08539 1.48059 36.4% - 0s
0 0 1.46323 0 65 1.08539 1.46323 34.8% - 0s
0 0 1.45866 0 65 1.08539 1.45866 34.4% - 0s
0 0 1.45671 0 65 1.08539 1.45671 34.2% - 0s
0 0 1.45668 0 68 1.08539 1.45668 34.2% - 0s
0 0 1.44929 0 69 1.08539 1.44929 33.5% - 0s
0 0 1.44928 0 69 1.08539 1.44928 33.5% - 0s
0 0 1.44789 0 68 1.08539 1.44789 33.4% - 0s
0 0 1.44789 0 68 1.08539 1.44789 33.4% - 0s
0 2 1.44789 0 60 1.08539 1.44789 33.4% - 0s
* 585 278 70 1.0874405 1.30872 20.3% 9.8 0s
* 1701 588 67 1.0874405 1.26812 16.6% 10.7 2s
* 2489 464 65 1.0978902 1.22668 11.7% 10.3 3s
* 2640 316 60 1.1376272 1.21644 6.93% 10.1 3s
Cutting planes:
Learned: 1
Gomory: 32
Cover: 4
Implied bound: 10
Projected implied bound: 17
Clique: 2
MIR: 13
Flow cover: 55
Inf proof: 29
Explored 3054 nodes (30722 simplex iterations) in 3.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.13763 1.09789 1.08744 ... 1.08539
Optimal solution found (tolerance 1.00e-02)
Best objective 1.137627243692e+00, best bound 1.148066470382e+00, gap 0.9176%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_9h9_soh.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph9_0qhaw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13053
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.830381e+00, 539 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83038 0 45 1.13053 1.83038 61.9% - 0s
0 0 1.78152 0 69 1.13053 1.78152 57.6% - 0s
0 0 1.77501 0 74 1.13053 1.77501 57.0% - 0s
0 0 1.76783 0 71 1.13053 1.76783 56.4% - 0s
0 0 1.76753 0 72 1.13053 1.76753 56.3% - 0s
0 0 1.76752 0 70 1.13053 1.76752 56.3% - 0s
0 0 1.76696 0 71 1.13053 1.76696 56.3% - 0s
0 0 1.76683 0 74 1.13053 1.76683 56.3% - 0s
0 0 1.76650 0 70 1.13053 1.76650 56.3% - 0s
0 0 1.76650 0 71 1.13053 1.76650 56.3% - 0s
0 0 1.76650 0 71 1.13053 1.76650 56.3% - 0s
0 0 1.76494 0 60 1.13053 1.76494 56.1% - 0s
0 0 1.76493 0 60 1.13053 1.76493 56.1% - 0s
0 0 1.76296 0 63 1.13053 1.76296 55.9% - 0s
0 0 1.76134 0 65 1.13053 1.76134 55.8% - 0s
0 0 1.75973 0 64 1.13053 1.75973 55.7% - 0s
0 0 1.75964 0 65 1.13053 1.75964 55.6% - 0s
0 0 1.75910 0 68 1.13053 1.75910 55.6% - 0s
0 0 1.75883 0 67 1.13053 1.75883 55.6% - 0s
0 0 1.75087 0 67 1.13053 1.75087 54.9% - 0s
0 0 1.75062 0 69 1.13053 1.75062 54.8% - 0s
0 0 1.74640 0 67 1.13053 1.74640 54.5% - 0s
0 0 1.74640 0 67 1.13053 1.74640 54.5% - 0s
0 0 1.74631 0 67 1.13053 1.74631 54.5% - 0s
0 0 1.74631 0 62 1.13053 1.74631 54.5% - 0s
0 2 1.74631 0 62 1.13053 1.74631 54.5% - 0s
* 745 263 73 1.1329328 1.35249 19.4% 9.1 0s
Cutting planes:
Gomory: 6
Cover: 9
Implied bound: 25
MIR: 20
Flow cover: 65
Inf proof: 31
Explored 3097 nodes (23407 simplex iterations) in 1.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.13293 1.13053
Optimal solution found (tolerance 1.00e-02)
Best objective 1.132932827598e+00, best bound 1.132932827598e+00, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuudmgey6.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgsht6n1k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13834
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.792434e+00, 618 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79243 0 47 1.13834 1.79243 57.5% - 0s
0 0 1.74770 0 71 1.13834 1.74770 53.5% - 0s
0 0 1.59211 0 68 1.13834 1.59211 39.9% - 0s
0 0 1.59210 0 68 1.13834 1.59210 39.9% - 0s
0 0 1.58143 0 64 1.13834 1.58143 38.9% - 0s
0 0 1.58143 0 65 1.13834 1.58143 38.9% - 0s
0 0 1.55756 0 68 1.13834 1.55756 36.8% - 0s
0 0 1.55710 0 72 1.13834 1.55710 36.8% - 0s
0 0 1.55537 0 74 1.13834 1.55537 36.6% - 0s
0 0 1.55530 0 75 1.13834 1.55530 36.6% - 0s
0 0 1.55242 0 81 1.13834 1.55242 36.4% - 0s
0 0 1.55180 0 82 1.13834 1.55180 36.3% - 0s
0 0 1.55137 0 82 1.13834 1.55137 36.3% - 0s
0 0 1.54916 0 82 1.13834 1.54916 36.1% - 0s
0 0 1.54879 0 82 1.13834 1.54879 36.1% - 0s
0 0 1.54877 0 82 1.13834 1.54877 36.1% - 0s
0 0 1.54836 0 78 1.13834 1.54836 36.0% - 0s
0 0 1.54836 0 78 1.13834 1.54836 36.0% - 0s
0 2 1.54836 0 72 1.13834 1.54836 36.0% - 0s
* 2564 469 58 1.1395855 1.22514 7.51% 11.4 3s
* 3285 311 59 1.1407021 1.18311 3.72% 11.1 4s
Cutting planes:
Learned: 1
Gomory: 27
Cover: 6
Implied bound: 12
Projected implied bound: 36
Clique: 2
MIR: 16
Flow cover: 65
Inf proof: 29
Explored 3947 nodes (42123 simplex iterations) in 4.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.1407 1.13959 1.13834
Optimal solution found (tolerance 1.00e-02)
Best objective 1.140702088629e+00, best bound 1.144472209297e+00, gap 0.3305%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp29livt6j.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_yg8eeef.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13148
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.796991e+00, 668 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79699 0 49 1.13148 1.79699 58.8% - 0s
0 0 1.75930 0 67 1.13148 1.75930 55.5% - 0s
0 0 1.75930 0 67 1.13148 1.75930 55.5% - 0s
0 0 1.60983 0 83 1.13148 1.60983 42.3% - 0s
0 0 1.60951 0 88 1.13148 1.60951 42.2% - 0s
0 0 1.60719 0 84 1.13148 1.60719 42.0% - 0s
0 0 1.60718 0 85 1.13148 1.60718 42.0% - 0s
0 0 1.60619 0 84 1.13148 1.60619 42.0% - 0s
0 0 1.60619 0 86 1.13148 1.60619 42.0% - 0s
0 0 1.60528 0 86 1.13148 1.60528 41.9% - 0s
0 0 1.60528 0 86 1.13148 1.60528 41.9% - 0s
0 0 1.60518 0 93 1.13148 1.60518 41.9% - 0s
0 0 1.60518 0 93 1.13148 1.60518 41.9% - 0s
0 2 1.60518 0 70 1.13148 1.60518 41.9% - 0s
* 2412 721 63 1.1324784 1.22273 7.97% 9.0 3s
Cutting planes:
Gomory: 28
Cover: 10
Implied bound: 10
Projected implied bound: 18
Clique: 1
MIR: 13
Flow cover: 43
Inf proof: 17
Explored 3525 nodes (33827 simplex iterations) in 3.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.13248 1.13148
Optimal solution found (tolerance 1.00e-02)
Best objective 1.132478446444e+00, best bound 1.135097969205e+00, gap 0.2313%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps4wv3drx.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwr6v75d9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10135
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.751293e+00, 688 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75129 0 53 1.10135 1.75129 59.0% - 0s
0 0 1.71697 0 74 1.10135 1.71697 55.9% - 0s
0 0 1.71697 0 74 1.10135 1.71697 55.9% - 0s
0 0 1.55142 0 71 1.10135 1.55142 40.9% - 0s
0 0 1.55077 0 73 1.10135 1.55077 40.8% - 0s
0 0 1.54799 0 79 1.10135 1.54799 40.6% - 0s
0 0 1.54798 0 79 1.10135 1.54798 40.6% - 0s
0 0 1.54552 0 81 1.10135 1.54552 40.3% - 0s
0 0 1.54552 0 82 1.10135 1.54552 40.3% - 0s
0 0 1.54517 0 82 1.10135 1.54517 40.3% - 0s
0 0 1.54517 0 72 1.10135 1.54517 40.3% - 0s
0 2 1.53739 0 67 1.10135 1.53739 39.6% - 0s
* 3005 146 80 1.1043773 1.12713 2.06% 10.2 3s
* 3221 8 79 1.1057623 1.11867 1.17% 9.9 3s
* 3302 18 80 1.1057800 1.11126 0.50% 9.8 3s
Cutting planes:
Gomory: 22
Cover: 2
Implied bound: 9
Projected implied bound: 32
MIR: 10
Flow cover: 45
Inf proof: 23
Explored 3310 nodes (33711 simplex iterations) in 3.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.10578 1.10576 1.10438 1.10135
Optimal solution found (tolerance 1.00e-02)
Best objective 1.105780022714e+00, best bound 1.111264202972e+00, gap 0.4960%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps95ex969.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7setjgge.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09422
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.716436e+00, 718 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71644 0 49 1.09422 1.71644 56.9% - 0s
0 0 1.67586 0 73 1.09422 1.67586 53.2% - 0s
0 0 1.67586 0 74 1.09422 1.67586 53.2% - 0s
0 0 1.64621 0 79 1.09422 1.64621 50.4% - 0s
0 0 1.64613 0 78 1.09422 1.64613 50.4% - 0s
0 0 1.64551 0 82 1.09422 1.64551 50.4% - 0s
0 0 1.64550 0 83 1.09422 1.64550 50.4% - 0s
0 0 1.64401 0 84 1.09422 1.64401 50.2% - 0s
0 0 1.64401 0 84 1.09422 1.64401 50.2% - 0s
0 0 1.64353 0 84 1.09422 1.64353 50.2% - 0s
0 0 1.64333 0 85 1.09422 1.64333 50.2% - 0s
0 0 1.64327 0 86 1.09422 1.64327 50.2% - 0s
0 0 1.64323 0 86 1.09422 1.64323 50.2% - 0s
0 0 1.64323 0 86 1.09422 1.64323 50.2% - 0s
0 0 1.64323 0 86 1.09422 1.64323 50.2% - 0s
0 0 1.64323 0 87 1.09422 1.64323 50.2% - 0s
0 0 1.64323 0 68 1.09422 1.64323 50.2% - 0s
0 2 1.64323 0 66 1.09422 1.64323 50.2% - 0s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 2
MIR: 5
Flow cover: 9
Inf proof: 3
Explored 2916 nodes (27306 simplex iterations) in 2.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.09422
Optimal solution found (tolerance 1.00e-02)
Best objective 1.094216915229e+00, best bound 1.104218346042e+00, gap 0.9140%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi7g1kz9l.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl6irkiav.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08247
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.680246e+00, 712 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68025 0 52 1.08247 1.68025 55.2% - 0s
0 0 1.64339 0 85 1.08247 1.64339 51.8% - 0s
0 0 1.61566 0 86 1.08247 1.61566 49.3% - 0s
0 0 1.61560 0 88 1.08247 1.61560 49.3% - 0s
0 0 1.60788 0 84 1.08247 1.60788 48.5% - 0s
0 0 1.60696 0 83 1.08247 1.60696 48.5% - 0s
0 0 1.60581 0 83 1.08247 1.60581 48.3% - 0s
0 0 1.60432 0 89 1.08247 1.60432 48.2% - 0s
0 0 1.60091 0 89 1.08247 1.60091 47.9% - 0s
0 0 1.60069 0 90 1.08247 1.60069 47.9% - 0s
0 0 1.59860 0 86 1.08247 1.59860 47.7% - 0s
0 0 1.59764 0 100 1.08247 1.59764 47.6% - 0s
0 0 1.59730 0 99 1.08247 1.59730 47.6% - 0s
0 0 1.59730 0 100 1.08247 1.59730 47.6% - 0s
0 0 1.59690 0 100 1.08247 1.59690 47.5% - 0s
0 0 1.59690 0 100 1.08247 1.59690 47.5% - 0s
0 0 1.59671 0 95 1.08247 1.59671 47.5% - 0s
0 0 1.59541 0 92 1.08247 1.59541 47.4% - 0s
0 0 1.59508 0 96 1.08247 1.59508 47.4% - 0s
0 0 1.59508 0 94 1.08247 1.59508 47.4% - 0s
0 0 1.59507 0 100 1.08247 1.59507 47.4% - 0s
0 0 1.59507 0 100 1.08247 1.59507 47.4% - 0s
0 0 1.59507 0 100 1.08247 1.59507 47.4% - 0s
0 0 1.59507 0 82 1.08247 1.59507 47.4% - 0s
0 2 1.59507 0 82 1.08247 1.59507 47.4% - 0s
H 1684 360 1.0825341 1.16882 7.97% 10.7 2s
* 2668 46 97 1.0827026 1.09679 1.30% 9.5 3s
* 2780 16 95 1.0827535 1.08947 0.62% 9.3 3s
* 2873 27 99 1.0833451 1.08821 0.45% 9.2 3s
Cutting planes:
Gomory: 1
Cover: 2
Implied bound: 7
MIR: 7
Flow cover: 11
Inf proof: 4
Explored 2878 nodes (27854 simplex iterations) in 3.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.08335 1.08275 1.0827 ... 1.08247
Optimal solution found (tolerance 1.00e-02)
Best objective 1.083345091210e+00, best bound 1.088209809328e+00, gap 0.4490%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgya2f5z3.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg5rebsne.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05689
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.625707e+00, 729 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62571 0 56 1.05689 1.62571 53.8% - 0s
0 0 1.60118 0 83 1.05689 1.60118 51.5% - 0s
0 0 1.60118 0 85 1.05689 1.60118 51.5% - 0s
0 0 1.46638 0 85 1.05689 1.46638 38.7% - 0s
0 0 1.46467 0 86 1.05689 1.46467 38.6% - 0s
0 0 1.44887 0 98 1.05689 1.44887 37.1% - 0s
0 0 1.44878 0 99 1.05689 1.44878 37.1% - 0s
0 0 1.44352 0 92 1.05689 1.44352 36.6% - 0s
0 0 1.44292 0 94 1.05689 1.44292 36.5% - 0s
0 0 1.44046 0 105 1.05689 1.44046 36.3% - 0s
0 0 1.44022 0 110 1.05689 1.44022 36.3% - 0s
0 0 1.43734 0 105 1.05689 1.43734 36.0% - 0s
0 0 1.43722 0 106 1.05689 1.43722 36.0% - 0s
0 0 1.43614 0 105 1.05689 1.43614 35.9% - 0s
0 0 1.43601 0 104 1.05689 1.43601 35.9% - 0s
0 0 1.43519 0 111 1.05689 1.43519 35.8% - 0s
0 0 1.43509 0 106 1.05689 1.43509 35.8% - 0s
0 0 1.43497 0 105 1.05689 1.43497 35.8% - 0s
0 0 1.43497 0 108 1.05689 1.43497 35.8% - 0s
0 0 1.43497 0 80 1.05689 1.43497 35.8% - 0s
0 2 1.43497 0 77 1.05689 1.43497 35.8% - 0s
* 3049 454 94 1.0602246 1.11390 5.06% 11.8 4s
H 3196 403 1.0610751 1.09964 3.63% 11.5 4s
* 3641 145 81 1.0631673 1.07612 1.22% 10.8 4s
Cutting planes:
Gomory: 20
Cover: 4
Implied bound: 7
Projected implied bound: 31
MIR: 16
Flow cover: 52
Inf proof: 28
Explored 3711 nodes (41432 simplex iterations) in 4.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.06317 1.06108 1.06022 1.05689
Optimal solution found (tolerance 1.00e-02)
Best objective 1.063167277654e+00, best bound 1.073423812529e+00, gap 0.9647%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd12pdygd.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph1tyvcu6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04774
Presolve removed 442 rows and 277 columns
Presolve time: 0.02s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.577089e+00, 834 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57709 0 57 1.04774 1.57709 50.5% - 0s
0 0 1.55570 0 82 1.04774 1.55570 48.5% - 0s
0 0 1.55570 0 83 1.04774 1.55570 48.5% - 0s
0 0 1.47310 0 95 1.04774 1.47310 40.6% - 0s
0 0 1.47308 0 93 1.04774 1.47308 40.6% - 0s
0 0 1.46480 0 91 1.04774 1.46480 39.8% - 0s
0 0 1.46463 0 92 1.04774 1.46463 39.8% - 0s
0 0 1.45221 0 100 1.04774 1.45221 38.6% - 0s
0 0 1.45201 0 99 1.04774 1.45201 38.6% - 0s
0 0 1.44807 0 100 1.04774 1.44807 38.2% - 0s
0 0 1.44759 0 103 1.04774 1.44759 38.2% - 0s
0 0 1.44680 0 105 1.04774 1.44680 38.1% - 0s
0 0 1.44510 0 109 1.04774 1.44510 37.9% - 0s
0 0 1.44428 0 109 1.04774 1.44428 37.8% - 0s
0 0 1.44422 0 108 1.04774 1.44422 37.8% - 0s
0 0 1.44313 0 110 1.04774 1.44313 37.7% - 0s
0 0 1.44293 0 111 1.04774 1.44293 37.7% - 0s
0 0 1.44025 0 113 1.04774 1.44025 37.5% - 0s
0 0 1.44015 0 108 1.04774 1.44015 37.5% - 0s
0 0 1.43992 0 110 1.04774 1.43992 37.4% - 0s
0 0 1.43992 0 92 1.04774 1.43992 37.4% - 0s
0 2 1.43992 0 90 1.04774 1.43992 37.4% - 0s
Explored 3821 nodes (38238 simplex iterations) in 3.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.04774
Optimal solution found (tolerance 1.00e-02)
Best objective 1.047737322190e+00, best bound 1.056209897446e+00, gap 0.8087%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps4ezmqt8.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp24h7bp0q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03115
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.528740e+00, 783 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52874 0 60 1.03115 1.52874 48.3% - 0s
0 0 1.50999 0 85 1.03115 1.50999 46.4% - 0s
0 0 1.50999 0 85 1.03115 1.50999 46.4% - 0s
0 0 1.42875 0 95 1.03115 1.42875 38.6% - 0s
0 0 1.42869 0 95 1.03115 1.42869 38.6% - 0s
0 0 1.41304 0 109 1.03115 1.41304 37.0% - 0s
0 0 1.41304 0 111 1.03115 1.41304 37.0% - 0s
0 0 1.40865 0 102 1.03115 1.40865 36.6% - 0s
0 0 1.40838 0 98 1.03115 1.40838 36.6% - 0s
0 0 1.40765 0 106 1.03115 1.40765 36.5% - 0s
0 0 1.40732 0 108 1.03115 1.40732 36.5% - 0s
0 0 1.40411 0 108 1.03115 1.40411 36.2% - 0s
0 0 1.40411 0 109 1.03115 1.40411 36.2% - 0s
0 0 1.40288 0 115 1.03115 1.40288 36.0% - 0s
0 0 1.40272 0 118 1.03115 1.40272 36.0% - 0s
0 0 1.40257 0 120 1.03115 1.40257 36.0% - 0s
0 0 1.40253 0 116 1.03115 1.40253 36.0% - 0s
0 0 1.40241 0 113 1.03115 1.40241 36.0% - 0s
0 0 1.40241 0 86 1.03115 1.40241 36.0% - 0s
0 2 1.40241 0 82 1.03115 1.40241 36.0% - 0s
Cutting planes:
Gomory: 17
Cover: 1
Implied bound: 10
Projected implied bound: 43
MIR: 18
Flow cover: 56
Flow path: 1
Inf proof: 20
Network: 1
Explored 3127 nodes (42870 simplex iterations) in 4.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.03115
Optimal solution found (tolerance 1.00e-02)
Best objective 1.031153531021e+00, best bound 1.039358132260e+00, gap 0.7957%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5sqf9n44.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2kuoaln9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02099
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.569865e+00, 897 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56987 0 60 1.02099 1.56987 53.8% - 0s
0 0 1.54748 0 99 1.02099 1.54748 51.6% - 0s
0 0 1.54715 0 99 1.02099 1.54715 51.5% - 0s
0 0 1.52246 0 101 1.02099 1.52246 49.1% - 0s
0 0 1.52239 0 102 1.02099 1.52239 49.1% - 0s
0 0 1.51628 0 104 1.02099 1.51628 48.5% - 0s
0 0 1.51616 0 104 1.02099 1.51616 48.5% - 0s
0 0 1.50003 0 119 1.02099 1.50003 46.9% - 0s
0 0 1.50003 0 120 1.02099 1.50003 46.9% - 0s
0 0 1.49637 0 118 1.02099 1.49637 46.6% - 0s
0 0 1.49637 0 119 1.02099 1.49637 46.6% - 0s
0 0 1.49274 0 98 1.02099 1.49274 46.2% - 0s
0 0 1.49264 0 102 1.02099 1.49264 46.2% - 0s
0 0 1.49259 0 105 1.02099 1.49259 46.2% - 0s
0 0 1.49259 0 106 1.02099 1.49259 46.2% - 0s
0 0 1.49259 0 105 1.02099 1.49259 46.2% - 0s
0 0 1.49259 0 89 1.02099 1.49259 46.2% - 0s
0 2 1.49259 0 87 1.02099 1.49259 46.2% - 0s
* 1460 470 137 1.0216924 1.18991 16.5% 12.0 2s
H 3371 590 1.0216924 1.10213 7.87% 10.3 3s
* 3869 609 125 1.0217018 1.09394 7.07% 10.0 4s
H 4800 631 1.0234337 1.07958 5.49% 9.5 4s
4915 612 1.02618 92 39 1.02343 1.07778 5.31% 9.5 5s
* 6157 147 120 1.0243647 1.04542 2.06% 9.3 6s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 5
MIR: 5
Flow cover: 15
Inf proof: 4
Explored 6570 nodes (61833 simplex iterations) in 6.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.02436 1.02343 1.0217 ... 1.02099
Optimal solution found (tolerance 1.00e-02)
Best objective 1.024364722882e+00, best bound 1.026297766362e+00, gap 0.1887%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpln5bro24.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnl7eklhp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00617
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.528787e+00, 859 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52879 0 65 1.00617 1.52879 51.9% - 0s
0 0 1.50778 0 97 1.00617 1.50778 49.9% - 0s
0 0 1.50745 0 97 1.00617 1.50745 49.8% - 0s
0 0 1.47364 0 104 1.00617 1.47364 46.5% - 0s
0 0 1.47046 0 108 1.00617 1.47046 46.1% - 0s
0 0 1.46309 0 110 1.00617 1.46309 45.4% - 0s
0 0 1.46212 0 115 1.00617 1.46212 45.3% - 0s
0 0 1.45873 0 112 1.00617 1.45873 45.0% - 0s
0 0 1.45871 0 115 1.00617 1.45871 45.0% - 0s
0 0 1.45629 0 120 1.00617 1.45629 44.7% - 0s
0 0 1.45629 0 122 1.00617 1.45629 44.7% - 0s
0 0 1.45448 0 124 1.00617 1.45448 44.6% - 0s
0 0 1.45445 0 128 1.00617 1.45445 44.6% - 0s
0 0 1.45439 0 127 1.00617 1.45439 44.5% - 0s
0 0 1.45439 0 128 1.00617 1.45439 44.5% - 0s
0 0 1.45439 0 127 1.00617 1.45439 44.5% - 0s
0 0 1.45439 0 96 1.00617 1.45439 44.5% - 0s
0 2 1.45439 0 95 1.00617 1.45439 44.5% - 0s
* 2201 715 125 1.0075649 1.14854 14.0% 9.7 2s
* 4424 267 110 1.0104353 1.06001 4.91% 9.4 4s
* 4738 216 104 1.0113766 1.04583 3.41% 9.1 4s
* 5082 134 97 1.0119461 1.02164 0.96% 9.0 4s
Cutting planes:
Gomory: 3
Cover: 2
Implied bound: 5
MIR: 7
Flow cover: 16
Explored 5121 nodes (47546 simplex iterations) in 4.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.01195 1.01138 1.01044 ... 1.00617
Optimal solution found (tolerance 1.00e-02)
Best objective 1.011946053048e+00, best bound 1.020534209375e+00, gap 0.8487%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqw3e8d2a.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp399rumfj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01307
Presolve removed 494 rows and 309 columns
Presolve time: 0.02s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.509225e+00, 892 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50923 0 63 1.01307 1.50923 49.0% - 0s
0 0 1.49515 0 96 1.01307 1.49515 47.6% - 0s
0 0 1.44622 0 110 1.01307 1.44622 42.8% - 0s
0 0 1.44584 0 109 1.01307 1.44584 42.7% - 0s
0 0 1.44078 0 113 1.01307 1.44078 42.2% - 0s
0 0 1.43462 0 119 1.01307 1.43462 41.6% - 0s
0 0 1.43365 0 117 1.01307 1.43365 41.5% - 0s
0 0 1.43050 0 123 1.01307 1.43050 41.2% - 0s
0 0 1.42651 0 127 1.01307 1.42651 40.8% - 0s
0 0 1.42617 0 127 1.01307 1.42617 40.8% - 0s
0 0 1.42522 0 127 1.01307 1.42522 40.7% - 0s
0 0 1.42522 0 127 1.01307 1.42522 40.7% - 0s
0 0 1.42412 0 128 1.01307 1.42412 40.6% - 0s
0 0 1.42241 0 128 1.01307 1.42241 40.4% - 0s
0 0 1.42241 0 128 1.01307 1.42241 40.4% - 0s
0 0 1.42232 0 129 1.01307 1.42232 40.4% - 0s
0 0 1.42232 0 94 1.01307 1.42232 40.4% - 0s
0 2 1.42232 0 94 1.01307 1.42232 40.4% - 0s
* 1555 560 119 1.0163430 1.21138 19.2% 12.9 3s
3800 796 infeasible 44 1.01634 1.11640 9.84% 11.0 5s
Cutting planes:
Gomory: 5
Cover: 3
Implied bound: 11
MIR: 11
Flow cover: 18
Flow path: 2
Inf proof: 10
Explored 7398 nodes (73301 simplex iterations) in 7.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.01634 1.01307
Optimal solution found (tolerance 1.00e-02)
Best objective 1.016342998737e+00, best bound 1.025435247066e+00, gap 0.8946%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplvfunzm7.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg_thv9zm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.999238
Presolve removed 507 rows and 317 columns
Presolve time: 0.02s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.471377e+00, 893 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47138 0 68 0.99924 1.47138 47.2% - 0s
0 0 1.45324 0 110 0.99924 1.45324 45.4% - 0s
0 0 1.44436 0 116 0.99924 1.44436 44.5% - 0s
0 0 1.44333 0 113 0.99924 1.44333 44.4% - 0s
0 0 1.43830 0 117 0.99924 1.43830 43.9% - 0s
0 0 1.43407 0 119 0.99924 1.43407 43.5% - 0s
0 0 1.43258 0 120 0.99924 1.43258 43.4% - 0s
0 0 1.43123 0 126 0.99924 1.43123 43.2% - 0s
0 0 1.43120 0 130 0.99924 1.43120 43.2% - 0s
0 0 1.43120 0 126 0.99924 1.43120 43.2% - 0s
0 0 1.43076 0 124 0.99924 1.43076 43.2% - 0s
0 0 1.43076 0 124 0.99924 1.43076 43.2% - 0s
0 0 1.43076 0 124 0.99924 1.43076 43.2% - 0s
0 0 1.43076 0 99 0.99924 1.43076 43.2% - 0s
0 2 1.43076 0 93 0.99924 1.43076 43.2% - 0s
4694 252 1.00232 62 35 0.99924 1.02271 2.35% 10.7 5s
Cutting planes:
Gomory: 2
Cover: 4
Implied bound: 6
MIR: 7
Flow cover: 17
Flow path: 1
Inf proof: 6
Explored 5445 nodes (57858 simplex iterations) in 5.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.999238
Optimal solution found (tolerance 1.00e-02)
Best objective 9.992377981614e-01, best bound 1.007941128348e+00, gap 0.8710%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp68i3blgc.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoxppny6g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.996476
Presolve removed 520 rows and 325 columns
Presolve time: 0.02s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.449843e+00, 908 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44984 0 68 0.99648 1.44984 45.5% - 0s
0 0 1.43777 0 103 0.99648 1.43777 44.3% - 0s
0 0 1.43777 0 103 0.99648 1.43777 44.3% - 0s
0 0 1.39093 0 116 0.99648 1.39093 39.6% - 0s
0 0 1.39067 0 116 0.99648 1.39067 39.6% - 0s
0 0 1.38548 0 114 0.99648 1.38548 39.0% - 0s
0 0 1.38001 0 118 0.99648 1.38001 38.5% - 0s
0 0 1.37560 0 128 0.99648 1.37560 38.0% - 0s
0 0 1.37263 0 123 0.99648 1.37263 37.7% - 0s
0 0 1.36896 0 133 0.99648 1.36896 37.4% - 0s
0 0 1.36854 0 131 0.99648 1.36854 37.3% - 0s
0 0 1.36665 0 136 0.99648 1.36665 37.1% - 0s
0 0 1.36664 0 136 0.99648 1.36664 37.1% - 0s
0 0 1.36632 0 136 0.99648 1.36632 37.1% - 0s
0 0 1.36632 0 136 0.99648 1.36632 37.1% - 0s
0 0 1.36604 0 138 0.99648 1.36604 37.1% - 0s
0 0 1.36591 0 138 0.99648 1.36591 37.1% - 0s
0 0 1.36591 0 106 0.99648 1.36591 37.1% - 0s
0 2 1.36591 0 106 0.99648 1.36591 37.1% - 0s
4531 932 1.01512 48 58 0.99648 1.09171 9.56% 11.5 5s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 12
MIR: 9
Flow cover: 22
Flow path: 1
Inf proof: 5
Explored 8216 nodes (79839 simplex iterations) in 7.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.996476
Optimal solution found (tolerance 1.00e-02)
Best objective 9.964757961406e-01, best bound 1.006214312199e+00, gap 0.9773%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4rcjdeft.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwf9kv160.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.985856
Presolve removed 533 rows and 333 columns
Presolve time: 0.02s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.415291e+00, 971 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41529 0 71 0.98586 1.41529 43.6% - 0s
0 0 1.40436 0 106 0.98586 1.40436 42.5% - 0s
0 0 1.34941 0 115 0.98586 1.34941 36.9% - 0s
0 0 1.34915 0 115 0.98586 1.34915 36.9% - 0s
0 0 1.33548 0 126 0.98586 1.33548 35.5% - 0s
0 0 1.33286 0 133 0.98586 1.33286 35.2% - 0s
0 0 1.32931 0 136 0.98586 1.32931 34.8% - 0s
0 0 1.32928 0 137 0.98586 1.32928 34.8% - 0s
0 0 1.32922 0 139 0.98586 1.32922 34.8% - 0s
0 0 1.32907 0 146 0.98586 1.32907 34.8% - 0s
0 0 1.32695 0 131 0.98586 1.32695 34.6% - 0s
0 0 1.32656 0 139 0.98586 1.32656 34.6% - 0s
0 0 1.32509 0 134 0.98586 1.32509 34.4% - 0s
0 0 1.32300 0 144 0.98586 1.32300 34.2% - 0s
0 0 1.32224 0 150 0.98586 1.32224 34.1% - 0s
0 0 1.32217 0 150 0.98586 1.32217 34.1% - 0s
0 0 1.32208 0 150 0.98586 1.32208 34.1% - 0s
0 0 1.32208 0 150 0.98586 1.32208 34.1% - 0s
0 0 1.32208 0 113 0.98586 1.32208 34.1% - 0s
0 2 1.32208 0 112 0.98586 1.32208 34.1% - 0s
2357 763 1.08429 34 68 0.98586 1.11790 13.4% 13.6 5s
Cutting planes:
Gomory: 14
Cover: 2
Implied bound: 8
Projected implied bound: 27
MIR: 9
Flow cover: 30
Flow path: 2
Inf proof: 6
Explored 7619 nodes (84430 simplex iterations) in 9.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.985856
Optimal solution found (tolerance 1.00e-02)
Best objective 9.858560597417e-01, best bound 9.938265040423e-01, gap 0.8085%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4912w6np.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcx4zyojr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.962332
Presolve removed 546 rows and 341 columns
Presolve time: 0.02s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.376347e+00, 1004 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37635 0 70 0.96233 1.37635 43.0% - 0s
0 0 1.36533 0 103 0.96233 1.36533 41.9% - 0s
0 0 1.35307 0 122 0.96233 1.35307 40.6% - 0s
0 0 1.35279 0 120 0.96233 1.35279 40.6% - 0s
0 0 1.34869 0 121 0.96233 1.34869 40.1% - 0s
0 0 1.34587 0 122 0.96233 1.34587 39.9% - 0s
0 0 1.34241 0 129 0.96233 1.34241 39.5% - 0s
0 0 1.34233 0 128 0.96233 1.34233 39.5% - 0s
0 0 1.33764 0 131 0.96233 1.33764 39.0% - 0s
0 0 1.33730 0 136 0.96233 1.33730 39.0% - 0s
0 0 1.33724 0 136 0.96233 1.33724 39.0% - 0s
0 0 1.33724 0 136 0.96233 1.33724 39.0% - 0s
0 0 1.33638 0 143 0.96233 1.33638 38.9% - 0s
0 0 1.33635 0 146 0.96233 1.33635 38.9% - 0s
0 0 1.33631 0 148 0.96233 1.33631 38.9% - 0s
0 0 1.33604 0 143 0.96233 1.33604 38.8% - 0s
0 0 1.33586 0 147 0.96233 1.33586 38.8% - 0s
0 0 1.33576 0 145 0.96233 1.33576 38.8% - 0s
0 0 1.33575 0 145 0.96233 1.33575 38.8% - 0s
0 0 1.33492 0 140 0.96233 1.33492 38.7% - 0s
0 0 1.33482 0 146 0.96233 1.33482 38.7% - 0s
0 0 1.33391 0 145 0.96233 1.33391 38.6% - 0s
0 0 1.33389 0 144 0.96233 1.33389 38.6% - 0s
0 0 1.33319 0 144 0.96233 1.33319 38.5% - 0s
0 0 1.33319 0 110 0.96233 1.33319 38.5% - 0s
0 2 1.33319 0 108 0.96233 1.33319 38.5% - 0s
4220 1121 infeasible 48 0.96233 1.05596 9.73% 10.7 5s
Cutting planes:
Gomory: 3
Cover: 2
Implied bound: 8
MIR: 9
Flow cover: 17
Flow path: 2
Inf proof: 7
Explored 10663 nodes (95276 simplex iterations) in 9.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.962332
Optimal solution found (tolerance 1.00e-02)
Best objective 9.623324243659e-01, best bound 9.716933353118e-01, gap 0.9727%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp10dffy40.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp18hnap77.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.959466
Presolve removed 559 rows and 349 columns
Presolve time: 0.02s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.407640e+00, 976 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40764 0 74 0.95947 1.40764 46.7% - 0s
0 0 1.39469 0 113 0.95947 1.39469 45.4% - 0s
0 0 1.39469 0 113 0.95947 1.39469 45.4% - 0s
0 0 1.37385 0 122 0.95947 1.37385 43.2% - 0s
0 0 1.37359 0 123 0.95947 1.37359 43.2% - 0s
0 0 1.36466 0 124 0.95947 1.36466 42.2% - 0s
0 0 1.36375 0 126 0.95947 1.36375 42.1% - 0s
0 0 1.35735 0 125 0.95947 1.35735 41.5% - 0s
0 0 1.35662 0 127 0.95947 1.35662 41.4% - 0s
0 0 1.35563 0 132 0.95947 1.35563 41.3% - 0s
0 0 1.35563 0 128 0.95947 1.35563 41.3% - 0s
0 0 1.35415 0 133 0.95947 1.35415 41.1% - 0s
0 0 1.35410 0 131 0.95947 1.35410 41.1% - 0s
0 0 1.35387 0 132 0.95947 1.35387 41.1% - 0s
0 0 1.35387 0 133 0.95947 1.35387 41.1% - 0s
0 0 1.35387 0 133 0.95947 1.35387 41.1% - 0s
0 0 1.35387 0 101 0.95947 1.35387 41.1% - 0s
0 2 1.35387 0 100 0.95947 1.35387 41.1% - 0s
4042 1008 1.03105 74 42 0.95947 1.07480 12.0% 9.7 5s
10930 1365 infeasible 82 0.95947 0.99978 4.20% 9.1 10s
H12594 1033 0.9594664 0.98671 2.84% 9.2 11s
Cutting planes:
Learned: 1
Gomory: 6
Cover: 1
Implied bound: 9
MIR: 10
Flow cover: 17
Flow path: 3
Inf proof: 1
Explored 14353 nodes (131579 simplex iterations) in 13.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.959466 0.959466
Optimal solution found (tolerance 1.00e-02)
Best objective 9.594663986314e-01, best bound 9.690471068313e-01, gap 0.9985%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuqcinkw0.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeckgeyv8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.944126
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.377638e+00, 1001 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37764 0 79 0.94413 1.37764 45.9% - 0s
0 0 1.36878 0 115 0.94413 1.36878 45.0% - 0s
0 0 1.32086 0 110 0.94413 1.32086 39.9% - 0s
0 0 1.32014 0 110 0.94413 1.32014 39.8% - 0s
0 0 1.31271 0 128 0.94413 1.31271 39.0% - 0s
0 0 1.30926 0 129 0.94413 1.30926 38.7% - 0s
0 0 1.30664 0 139 0.94413 1.30664 38.4% - 0s
0 0 1.30494 0 141 0.94413 1.30494 38.2% - 0s
0 0 1.30313 0 144 0.94413 1.30313 38.0% - 0s
0 0 1.30240 0 142 0.94413 1.30240 37.9% - 0s
0 0 1.30139 0 142 0.94413 1.30139 37.8% - 0s
0 0 1.30026 0 148 0.94413 1.30026 37.7% - 0s
0 0 1.30019 0 145 0.94413 1.30019 37.7% - 0s
0 0 1.29946 0 148 0.94413 1.29946 37.6% - 0s
0 0 1.29944 0 148 0.94413 1.29944 37.6% - 0s
0 0 1.29942 0 148 0.94413 1.29942 37.6% - 0s
0 0 1.29940 0 148 0.94413 1.29940 37.6% - 0s
0 0 1.29940 0 113 0.94413 1.29940 37.6% - 0s
0 2 1.29940 0 112 0.94413 1.29940 37.6% - 0s
757 452 1.15617 14 108 0.94413 1.15617 22.5% 18.3 5s
5361 1032 0.98210 61 62 0.94413 1.02713 8.79% 13.9 10s
H 6989 875 0.9441256 0.99561 5.45% 13.3 12s
10192 795 infeasible 81 0.94413 0.96143 1.83% 11.8 15s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 17
Projected implied bound: 43
MIR: 24
StrongCG: 1
Flow cover: 86
Flow path: 2
Inf proof: 64
Zero half: 1
Explored 11531 nodes (133945 simplex iterations) in 16.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.944126 0.944126
Optimal solution found (tolerance 1.00e-02)
Best objective 9.441255684496e-01, best bound 9.529130216733e-01, gap 0.9308%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuqw_kby8.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxaw285bm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.936738
Presolve removed 585 rows and 365 columns
Presolve time: 0.03s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.365774e+00, 1001 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36577 0 79 0.93674 1.36577 45.8% - 0s
0 0 1.35408 0 122 0.93674 1.35408 44.6% - 0s
0 0 1.35408 0 122 0.93674 1.35408 44.6% - 0s
0 0 1.33420 0 136 0.93674 1.33420 42.4% - 0s
0 0 1.33395 0 135 0.93674 1.33395 42.4% - 0s
0 0 1.33083 0 131 0.93674 1.33083 42.1% - 0s
0 0 1.32862 0 128 0.93674 1.32862 41.8% - 0s
0 0 1.32385 0 137 0.93674 1.32385 41.3% - 0s
0 0 1.32380 0 140 0.93674 1.32380 41.3% - 0s
0 0 1.32347 0 143 0.93674 1.32347 41.3% - 0s
0 0 1.32312 0 140 0.93674 1.32312 41.2% - 0s
0 0 1.32247 0 148 0.93674 1.32247 41.2% - 0s
0 0 1.32247 0 148 0.93674 1.32247 41.2% - 0s
0 0 1.32243 0 152 0.93674 1.32243 41.2% - 0s
0 0 1.32243 0 152 0.93674 1.32243 41.2% - 0s
0 0 1.32225 0 145 0.93674 1.32225 41.2% - 0s
0 0 1.32205 0 153 0.93674 1.32205 41.1% - 0s
0 0 1.32201 0 149 0.93674 1.32201 41.1% - 0s
0 0 1.32201 0 114 0.93674 1.32201 41.1% - 0s
0 2 1.32201 0 112 0.93674 1.32201 41.1% - 0s
3632 688 0.98591 74 79 0.93674 1.03463 10.5% 10.6 5s
9704 1699 infeasible 66 0.93674 0.97221 3.79% 8.7 10s
14192 980 infeasible 107 0.93674 0.94912 1.32% 8.6 15s
Cutting planes:
Gomory: 1
Cover: 2
Implied bound: 10
MIR: 6
Flow cover: 24
Flow path: 1
Inf proof: 8
Explored 15250 nodes (132824 simplex iterations) in 15.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.936738
Optimal solution found (tolerance 1.00e-02)
Best objective 9.367378721246e-01, best bound 9.460860705355e-01, gap 0.9980%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprcl42ae0.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5xfons95.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927639
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.339705e+00, 1086 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33970 0 80 0.92764 1.33970 44.4% - 0s
0 0 1.33197 0 125 0.92764 1.33197 43.6% - 0s
0 0 1.33197 0 125 0.92764 1.33197 43.6% - 0s
0 0 1.28749 0 149 0.92764 1.28749 38.8% - 0s
0 0 1.28741 0 149 0.92764 1.28741 38.8% - 0s
0 0 1.27873 0 145 0.92764 1.27873 37.8% - 0s
0 0 1.27775 0 143 0.92764 1.27775 37.7% - 0s
0 0 1.27641 0 148 0.92764 1.27641 37.6% - 0s
0 0 1.27618 0 148 0.92764 1.27618 37.6% - 0s
0 0 1.27590 0 152 0.92764 1.27590 37.5% - 0s
0 0 1.27561 0 150 0.92764 1.27561 37.5% - 0s
0 0 1.27560 0 151 0.92764 1.27560 37.5% - 0s
0 0 1.27560 0 150 0.92764 1.27560 37.5% - 0s
0 0 1.27560 0 151 0.92764 1.27560 37.5% - 0s
0 0 1.27560 0 151 0.92764 1.27560 37.5% - 0s
0 0 1.27558 0 119 0.92764 1.27558 37.5% - 0s
0 0 1.27554 0 122 0.92764 1.27554 37.5% - 0s
0 0 1.27545 0 121 0.92764 1.27545 37.5% - 0s
0 0 1.27545 0 115 0.92764 1.27545 37.5% - 0s
0 2 1.27545 0 114 0.92764 1.27545 37.5% - 0s
3137 599 0.99774 42 93 0.92764 1.05266 13.5% 11.5 5s
9228 1060 0.94292 71 67 0.92764 0.96080 3.57% 9.1 10s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 12
MIR: 13
Flow cover: 21
Flow path: 3
Inf proof: 9
Explored 11662 nodes (104623 simplex iterations) in 12.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.927639
Optimal solution found (tolerance 1.00e-02)
Best objective 9.276385019874e-01, best bound 9.366432447123e-01, gap 0.9707%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8gcz75y4.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwllmcam0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.921095
Presolve removed 611 rows and 381 columns
Presolve time: 0.03s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.326693e+00, 1075 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32669 0 81 0.92110 1.32669 44.0% - 0s
0 0 1.31660 0 134 0.92110 1.31660 42.9% - 0s
0 0 1.31642 0 134 0.92110 1.31642 42.9% - 0s
0 0 1.29713 0 143 0.92110 1.29713 40.8% - 0s
0 0 1.29690 0 144 0.92110 1.29690 40.8% - 0s
0 0 1.29402 0 142 0.92110 1.29402 40.5% - 0s
0 0 1.29293 0 140 0.92110 1.29293 40.4% - 0s
0 0 1.28837 0 151 0.92110 1.28837 39.9% - 0s
0 0 1.28831 0 152 0.92110 1.28831 39.9% - 0s
0 0 1.28815 0 150 0.92110 1.28815 39.9% - 0s
0 0 1.28806 0 147 0.92110 1.28806 39.8% - 0s
0 0 1.28761 0 153 0.92110 1.28761 39.8% - 0s
0 0 1.28761 0 153 0.92110 1.28761 39.8% - 0s
0 0 1.28733 0 152 0.92110 1.28733 39.8% - 0s
0 0 1.28731 0 152 0.92110 1.28731 39.8% - 0s
0 0 1.28690 0 151 0.92110 1.28690 39.7% - 0s
0 0 1.28690 0 152 0.92110 1.28690 39.7% - 0s
0 0 1.28690 0 118 0.92110 1.28690 39.7% - 0s
0 2 1.28690 0 112 0.92110 1.28690 39.7% - 0s
3790 871 infeasible 51 0.92110 1.04599 13.6% 11.0 5s
H 9377 1599 0.9211134 0.97386 5.73% 9.0 9s
9594 1506 infeasible 68 0.92111 0.96795 5.09% 9.0 10s
14670 623 infeasible 107 0.92111 0.93621 1.64% 9.3 15s
Cutting planes:
Gomory: 3
Cover: 3
Implied bound: 9
MIR: 10
Flow cover: 26
Flow path: 1
Inf proof: 9
Explored 15518 nodes (145417 simplex iterations) in 16.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.921113 0.921095
Optimal solution found (tolerance 1.00e-02)
Best objective 9.211133953367e-01, best bound 9.296724301946e-01, gap 0.9292%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl2xfw9fk.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuba1oakc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.909939
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.303345e+00, 1128 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30334 0 84 0.90994 1.30334 43.2% - 0s
0 0 1.29579 0 126 0.90994 1.29579 42.4% - 0s
0 0 1.29578 0 127 0.90994 1.29578 42.4% - 0s
0 0 1.28735 0 151 0.90994 1.28735 41.5% - 0s
0 0 1.28649 0 153 0.90994 1.28649 41.4% - 0s
0 0 1.27775 0 155 0.90994 1.27775 40.4% - 0s
0 0 1.27744 0 158 0.90994 1.27744 40.4% - 0s
0 0 1.27365 0 174 0.90994 1.27365 40.0% - 0s
0 0 1.27359 0 174 0.90994 1.27359 40.0% - 0s
0 0 1.26963 0 172 0.90994 1.26963 39.5% - 0s
0 0 1.26929 0 166 0.90994 1.26929 39.5% - 0s
0 0 1.26892 0 171 0.90994 1.26892 39.5% - 0s
0 0 1.26892 0 172 0.90994 1.26892 39.5% - 0s
0 0 1.26888 0 173 0.90994 1.26888 39.4% - 0s
0 0 1.26888 0 172 0.90994 1.26888 39.4% - 0s
0 0 1.26888 0 174 0.90994 1.26888 39.4% - 0s
0 0 1.26888 0 125 0.90994 1.26888 39.4% - 0s
0 2 1.26888 0 125 0.90994 1.26888 39.4% - 0s
2382 655 0.95466 33 95 0.90994 1.06793 17.4% 14.3 5s
8480 2511 infeasible 74 0.90994 1.00612 10.6% 10.5 10s
12762 2048 0.93590 81 55 0.90994 0.95638 5.10% 9.9 15s
17821 1769 infeasible 94 0.90994 0.92749 1.93% 9.4 20s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 14
MIR: 11
Flow cover: 25
Inf proof: 6
Explored 20616 nodes (194427 simplex iterations) in 23.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.909939
Optimal solution found (tolerance 1.00e-02)
Best objective 9.099392828784e-01, best bound 9.186728218585e-01, gap 0.9598%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8alug3wp.pyomo.lp
Reading time = 0.02 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm39wy_00.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.89706
Presolve removed 637 rows and 397 columns
Presolve time: 0.03s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.277467e+00, 1076 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27747 0 85 0.89706 1.27747 42.4% - 0s
0 0 1.26815 0 124 0.89706 1.26815 41.4% - 0s
0 0 1.26815 0 124 0.89706 1.26815 41.4% - 0s
0 0 1.24966 0 137 0.89706 1.24966 39.3% - 0s
0 0 1.24942 0 136 0.89706 1.24942 39.3% - 0s
0 0 1.24550 0 139 0.89706 1.24550 38.8% - 0s
0 0 1.24493 0 138 0.89706 1.24493 38.8% - 0s
0 0 1.24028 0 141 0.89706 1.24028 38.3% - 0s
0 0 1.24022 0 141 0.89706 1.24022 38.3% - 0s
0 0 1.23985 0 143 0.89706 1.23985 38.2% - 0s
0 0 1.23984 0 143 0.89706 1.23984 38.2% - 0s
0 0 1.23963 0 144 0.89706 1.23963 38.2% - 0s
0 0 1.23961 0 145 0.89706 1.23961 38.2% - 0s
0 0 1.23792 0 143 0.89706 1.23792 38.0% - 0s
0 0 1.23792 0 145 0.89706 1.23792 38.0% - 0s
0 0 1.23777 0 146 0.89706 1.23777 38.0% - 0s
0 0 1.23777 0 146 0.89706 1.23777 38.0% - 0s
0 0 1.23758 0 149 0.89706 1.23758 38.0% - 0s
0 0 1.23758 0 149 0.89706 1.23758 38.0% - 0s
0 0 1.23755 0 146 0.89706 1.23755 38.0% - 0s
0 0 1.23750 0 145 0.89706 1.23750 38.0% - 0s
0 0 1.23750 0 143 0.89706 1.23750 38.0% - 0s
0 0 1.23750 0 118 0.89706 1.23750 38.0% - 0s
0 2 1.23750 0 116 0.89706 1.23750 38.0% - 0s
2566 808 1.01513 27 109 0.89706 1.06924 19.2% 12.8 5s
9122 1825 0.96213 90 77 0.89706 0.96763 7.87% 9.8 10s
13626 1905 0.90764 103 83 0.89706 0.93646 4.39% 9.5 15s
17874 895 0.90250 129 64 0.89706 0.91147 1.61% 9.3 20s
Cutting planes:
Gomory: 1
Cover: 2
Implied bound: 8
MIR: 9
Flow cover: 32
Flow path: 2
Inf proof: 7
Explored 19366 nodes (180547 simplex iterations) in 21.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.89706
Optimal solution found (tolerance 1.00e-02)
Best objective 8.970601777343e-01, best bound 9.050794948588e-01, gap 0.8940%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4sc5b94j.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppyttcbgt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.891674
Presolve removed 650 rows and 405 columns
Presolve time: 0.03s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.269118e+00, 1151 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26912 0 83 0.89167 1.26912 42.3% - 0s
0 0 1.26248 0 130 0.89167 1.26248 41.6% - 0s
0 0 1.26248 0 131 0.89167 1.26248 41.6% - 0s
0 0 1.22904 0 146 0.89167 1.22904 37.8% - 0s
0 0 1.22893 0 147 0.89167 1.22893 37.8% - 0s
0 0 1.22762 0 148 0.89167 1.22762 37.7% - 0s
0 0 1.22253 0 148 0.89167 1.22253 37.1% - 0s
0 0 1.21969 0 154 0.89167 1.21969 36.8% - 0s
0 0 1.21868 0 158 0.89167 1.21868 36.7% - 0s
0 0 1.21714 0 164 0.89167 1.21714 36.5% - 0s
0 0 1.21677 0 170 0.89167 1.21677 36.5% - 0s
0 0 1.21672 0 172 0.89167 1.21672 36.5% - 0s
0 0 1.21672 0 172 0.89167 1.21672 36.5% - 0s
0 0 1.21650 0 172 0.89167 1.21650 36.4% - 0s
0 0 1.21650 0 172 0.89167 1.21650 36.4% - 0s
0 0 1.21650 0 129 0.89167 1.21650 36.4% - 0s
0 2 1.21650 0 124 0.89167 1.21650 36.4% - 0s
2875 509 0.98254 63 80 0.89167 1.00930 13.2% 11.6 5s
8040 1703 0.91355 83 87 0.89167 0.95238 6.81% 9.1 10s
H12943 2189 0.8916737 0.92195 3.40% 8.4 14s
13293 2098 cutoff 85 0.89167 0.92115 3.31% 8.4 15s
19177 2351 0.90658 95 53 0.89167 0.90668 1.68% 8.0 20s
Cutting planes:
Learned: 1
Gomory: 6
Cover: 1
Implied bound: 11
MIR: 9
Flow cover: 23
Flow path: 2
Inf proof: 5
Explored 23850 nodes (189442 simplex iterations) in 24.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.891674 0.891674
Optimal solution found (tolerance 1.00e-02)
Best objective 8.916736611083e-01, best bound 9.001636060343e-01, gap 0.9521%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxdw2szcu.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwj7unki3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.873417
Presolve removed 663 rows and 413 columns
Presolve time: 0.03s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.241390e+00, 1194 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24139 0 84 0.87342 1.24139 42.1% - 0s
0 0 1.23483 0 129 0.87342 1.23483 41.4% - 0s
0 0 1.23483 0 130 0.87342 1.23483 41.4% - 0s
0 0 1.21856 0 140 0.87342 1.21856 39.5% - 0s
0 0 1.20955 0 140 0.87342 1.20955 38.5% - 0s
0 0 1.20781 0 152 0.87342 1.20781 38.3% - 0s
0 0 1.20385 0 152 0.87342 1.20385 37.8% - 0s
0 0 1.20080 0 163 0.87342 1.20080 37.5% - 0s
0 0 1.20078 0 163 0.87342 1.20078 37.5% - 0s
0 0 1.20074 0 163 0.87342 1.20074 37.5% - 0s
0 0 1.20065 0 161 0.87342 1.20065 37.5% - 0s
0 0 1.20031 0 164 0.87342 1.20031 37.4% - 0s
0 0 1.20031 0 166 0.87342 1.20031 37.4% - 0s
0 0 1.20009 0 163 0.87342 1.20009 37.4% - 0s
0 0 1.20009 0 165 0.87342 1.20009 37.4% - 0s
0 0 1.19987 0 167 0.87342 1.19987 37.4% - 0s
0 0 1.19987 0 167 0.87342 1.19987 37.4% - 0s
0 0 1.19929 0 166 0.87342 1.19929 37.3% - 0s
0 0 1.19929 0 166 0.87342 1.19929 37.3% - 0s
0 0 1.19929 0 166 0.87342 1.19929 37.3% - 0s
0 0 1.19914 0 167 0.87342 1.19914 37.3% - 0s
0 0 1.19908 0 165 0.87342 1.19908 37.3% - 0s
0 0 1.19906 0 169 0.87342 1.19906 37.3% - 0s
0 0 1.19904 0 171 0.87342 1.19904 37.3% - 0s
0 0 1.19904 0 170 0.87342 1.19904 37.3% - 0s
0 0 1.19904 0 170 0.87342 1.19904 37.3% - 0s
0 2 1.19904 0 170 0.87342 1.19904 37.3% - 0s
2614 735 0.91876 101 69 0.87342 1.00888 15.5% 12.0 5s
9437 2534 infeasible 68 0.87342 0.93837 7.44% 8.5 10s
14456 3074 infeasible 97 0.87342 0.91858 5.17% 7.8 15s
20999 3898 0.90526 95 60 0.87342 0.90712 3.86% 7.8 20s
25624 3143 infeasible 90 0.87342 0.89665 2.66% 7.9 25s
30290 2355 0.88164 132 39 0.87342 0.88740 1.60% 7.9 30s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 9
MIR: 10
Flow cover: 23
Flow path: 2
Inf proof: 4
Explored 33243 nodes (266106 simplex iterations) in 33.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.873417
Optimal solution found (tolerance 1.00e-02)
Best objective 8.734171676784e-01, best bound 8.820130872349e-01, gap 0.9842%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwe9f3gfp.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp77a4uh1f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.859706
Presolve removed 676 rows and 421 columns
Presolve time: 0.03s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.227950e+00, 1170 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22795 0 85 0.85971 1.22795 42.8% - 0s
0 0 1.22212 0 129 0.85971 1.22212 42.2% - 0s
0 0 1.22212 0 129 0.85971 1.22212 42.2% - 0s
0 0 1.17654 0 150 0.85971 1.17654 36.9% - 0s
0 0 1.17644 0 146 0.85971 1.17644 36.8% - 0s
0 0 1.17295 0 184 0.85971 1.17295 36.4% - 0s
0 0 1.17280 0 162 0.85971 1.17280 36.4% - 0s
0 0 1.16908 0 192 0.85971 1.16908 36.0% - 0s
0 0 1.16907 0 193 0.85971 1.16907 36.0% - 0s
0 0 1.16858 0 194 0.85971 1.16858 35.9% - 0s
0 0 1.16857 0 196 0.85971 1.16857 35.9% - 0s
0 0 1.16852 0 190 0.85971 1.16852 35.9% - 0s
0 0 1.16852 0 127 0.85971 1.16852 35.9% - 0s
0 2 1.16852 0 127 0.85971 1.16852 35.9% - 0s
775 529 1.08079 19 120 0.85971 1.09030 26.8% 21.7 5s
4279 1287 0.96646 82 81 0.85971 0.99331 15.5% 15.2 10s
9410 2697 0.86081 80 78 0.85971 0.96459 12.2% 12.2 15s
13252 3520 0.93519 74 94 0.85971 0.94735 10.2% 11.7 20s
17260 3727 0.92376 57 93 0.85971 0.93077 8.27% 11.8 25s
21051 3646 infeasible 85 0.85971 0.91614 6.56% 12.0 30s
23668 3310 0.86509 102 127 0.85971 0.90280 5.01% 12.4 47s
23677 3316 0.86471 103 189 0.85971 0.90280 5.01% 12.4 50s
23684 3321 0.86713 70 208 0.85971 0.90280 5.01% 12.4 55s
23693 3327 0.88967 98 236 0.85971 0.90280 5.01% 12.4 60s
23699 3331 0.86700 80 224 0.85971 0.90280 5.01% 12.4 65s
23707 3336 0.88849 93 226 0.85971 0.90280 5.01% 12.4 71s
23714 3341 0.86871 97 227 0.85971 0.90280 5.01% 12.4 75s
23719 3344 0.88633 80 222 0.85971 0.90280 5.01% 12.4 80s
23726 3349 0.86785 126 228 0.85971 0.90280 5.01% 12.4 86s
23730 3351 0.87754 97 233 0.85971 0.90280 5.01% 12.4 90s
23735 3355 0.87972 99 237 0.85971 0.90280 5.01% 12.4 95s
23740 3358 0.89530 61 234 0.85971 0.90280 5.01% 12.4 100s
23745 3361 0.89846 99 236 0.85971 0.90280 5.01% 12.4 105s
23751 3365 0.88472 167 225 0.85971 0.90280 5.01% 12.4 111s
23757 3369 0.87357 71 217 0.85971 0.90280 5.01% 12.3 115s
23761 3372 0.86569 106 225 0.85971 0.90280 5.01% 12.3 120s
23767 3376 0.86352 108 218 0.85971 0.90280 5.01% 12.3 126s
23771 3379 0.86637 157 216 0.85971 0.90280 5.01% 12.3 130s
23777 3383 0.86471 103 226 0.85971 0.90280 5.01% 12.3 135s
23782 3386 0.88840 113 227 0.85971 0.90280 5.01% 12.3 140s
23787 3389 0.88624 81 234 0.85971 0.90280 5.01% 12.3 145s
23792 3393 0.88054 93 216 0.85971 0.90280 5.01% 12.3 150s
23799 3397 0.86700 80 228 0.85971 0.90280 5.01% 12.3 156s
23804 3401 0.89514 93 237 0.85971 0.90280 5.01% 12.3 160s
23808 3403 0.90271 90 227 0.85971 0.90280 5.01% 12.3 165s
23812 3406 0.87540 91 244 0.85971 0.90280 5.01% 12.3 170s
23817 3409 0.86627 125 232 0.85971 0.90280 5.01% 12.3 175s
23823 3413 0.89876 102 237 0.85971 0.90280 5.01% 12.3 181s
23827 3416 0.86643 131 234 0.85971 0.90280 5.01% 12.3 185s
23833 3420 0.89072 64 228 0.85971 0.90280 5.01% 12.3 190s
23840 3425 0.89530 61 233 0.85971 0.90280 5.01% 12.3 195s
23847 3429 0.89486 76 236 0.85971 0.90280 5.01% 12.3 200s
23854 3434 0.88551 78 233 0.85971 0.90280 5.01% 12.3 205s
23861 3439 0.86569 106 232 0.85971 0.90280 5.01% 12.3 210s
23868 3443 0.86509 102 238 0.85971 0.90280 5.01% 12.3 215s
23875 3448 0.86665 128 232 0.85971 0.90280 5.01% 12.3 220s
23881 3452 0.89469 97 241 0.85971 0.90280 5.01% 12.3 226s
23888 3457 0.87297 89 239 0.85971 0.90280 5.01% 12.3 230s
23891 3462 0.90280 28 231 0.85971 0.90280 5.01% 14.3 237s
23893 3460 cutoff 29 0.85971 0.90280 5.01% 14.4 243s
23897 3460 cutoff 30 0.85971 0.90280 5.01% 14.4 252s
23919 3467 0.88576 35 190 0.85971 0.90280 5.01% 14.6 255s
24359 3494 0.89595 45 187 0.85971 0.90280 5.01% 15.8 260s
24987 3512 infeasible 104 0.85971 0.90280 5.01% 17.1 265s
25646 3537 0.90280 40 170 0.85971 0.90280 5.01% 18.4 270s
26359 3541 0.90280 50 175 0.85971 0.90280 5.01% 19.5 275s
27136 3572 0.90280 51 150 0.85971 0.90280 5.01% 20.9 280s
27799 3555 0.87242 45 138 0.85971 0.90280 5.01% 21.9 285s
28547 3474 infeasible 46 0.85971 0.90280 5.01% 23.0 290s
29130 3381 0.87364 59 130 0.85971 0.90186 4.90% 24.0 295s
29841 3281 infeasible 52 0.85971 0.89906 4.58% 25.0 300s
30435 3208 0.87812 47 133 0.85971 0.89772 4.42% 25.9 305s
31341 2997 0.87309 71 83 0.85971 0.89624 4.25% 27.1 312s
32004 2884 0.88382 47 175 0.85971 0.89403 3.99% 28.0 317s
32229 2786 infeasible 45 0.85971 0.89333 3.91% 28.3 320s
32840 2618 0.86795 61 108 0.85971 0.89275 3.84% 28.9 325s
33700 2414 0.87402 62 97 0.85971 0.89061 3.60% 29.6 331s
34578 2321 infeasible 51 0.85971 0.88730 3.21% 30.5 336s
35407 2375 infeasible 50 0.85971 0.88538 2.99% 31.2 342s
36230 2430 infeasible 53 0.85971 0.88344 2.76% 31.6 346s
37060 2448 0.87468 62 91 0.85971 0.88142 2.53% 32.1 351s
37979 2523 0.87853 61 126 0.85971 0.87973 2.33% 32.3 355s
39119 2690 0.87045 64 72 0.85971 0.87918 2.26% 32.4 360s
40280 2721 infeasible 46 0.85971 0.87640 1.94% 32.7 367s
40685 2764 0.86811 66 93 0.85971 0.87548 1.84% 32.9 370s
41757 2714 0.87262 65 71 0.85971 0.87363 1.62% 33.2 376s
43268 2787 0.87178 63 54 0.85971 0.87267 1.51% 33.0 381s
44387 2901 0.87015 61 122 0.85971 0.87139 1.36% 32.7 385s
45831 2923 cutoff 59 0.85971 0.87053 1.26% 32.6 390s
47136 2870 infeasible 65 0.85971 0.86974 1.17% 32.4 395s
48474 2810 0.86910 63 78 0.85971 0.86910 1.09% 32.2 400s
Cutting planes:
Learned: 2
Gomory: 208
Cover: 20
Implied bound: 53
Projected implied bound: 61
Clique: 11
MIR: 322
StrongCG: 5
Flow cover: 625
Flow path: 2
Inf proof: 210
Zero half: 2
Network: 1
Explored 49799 nodes (1600392 simplex iterations) in 403.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.859706
Optimal solution found (tolerance 1.00e-02)
Best objective 8.597061358927e-01, best bound 8.681252723884e-01, gap 0.9793%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm3e0cnv1.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc8u0xnxp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853669
Presolve removed 689 rows and 429 columns
Presolve time: 0.03s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.228218e+00, 1315 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22822 0 87 0.85367 1.22822 43.9% - 0s
0 0 1.22314 0 134 0.85367 1.22314 43.3% - 0s
0 0 1.22314 0 134 0.85367 1.22314 43.3% - 0s
0 0 1.19223 0 146 0.85367 1.19223 39.7% - 0s
0 0 1.19211 0 145 0.85367 1.19211 39.6% - 0s
0 0 1.18671 0 150 0.85367 1.18671 39.0% - 0s
0 0 1.18404 0 156 0.85367 1.18404 38.7% - 0s
0 0 1.18108 0 172 0.85367 1.18108 38.4% - 0s
0 0 1.17999 0 172 0.85367 1.17999 38.2% - 0s
0 0 1.17852 0 176 0.85367 1.17852 38.1% - 0s
0 0 1.17852 0 174 0.85367 1.17852 38.1% - 0s
0 0 1.17713 0 179 0.85367 1.17713 37.9% - 0s
0 0 1.17713 0 179 0.85367 1.17713 37.9% - 0s
0 0 1.17704 0 180 0.85367 1.17704 37.9% - 0s
0 0 1.17704 0 180 0.85367 1.17704 37.9% - 0s
0 0 1.17658 0 181 0.85367 1.17658 37.8% - 0s
0 0 1.17658 0 181 0.85367 1.17658 37.8% - 0s
0 0 1.17657 0 183 0.85367 1.17657 37.8% - 0s
0 0 1.17657 0 183 0.85367 1.17657 37.8% - 0s
0 0 1.17654 0 182 0.85367 1.17654 37.8% - 0s
0 0 1.17654 0 133 0.85367 1.17654 37.8% - 0s
0 2 1.17654 0 131 0.85367 1.17654 37.8% - 0s
867 581 1.01244 28 138 0.85367 1.09448 28.2% 19.3 5s
H 2731 795 0.8543955 1.04032 21.8% 18.5 9s
3139 909 infeasible 50 0.85440 1.02841 20.4% 17.7 10s
9031 2578 0.93280 67 80 0.85440 0.96930 13.4% 12.4 15s
H12549 3124 0.8555680 0.94695 10.7% 12.2 19s
H12569 3130 0.8555772 0.94677 10.7% 12.2 19s
12823 3104 cutoff 61 0.85558 0.94555 10.5% 12.2 20s
16380 3271 0.91200 79 77 0.85558 0.92479 8.09% 12.9 25s
19861 3472 0.88062 70 57 0.85558 0.91235 6.64% 13.4 30s
23275 3290 0.88551 71 76 0.85558 0.89781 4.94% 13.9 35s
25591 3054 0.88522 83 53 0.85558 0.88878 3.88% 14.2 40s
28451 2571 cutoff 90 0.85558 0.87885 2.72% 14.4 45s
31535 1630 0.86756 86 44 0.85558 0.86827 1.48% 14.5 50s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 2
Implied bound: 30
Projected implied bound: 62
Clique: 1
MIR: 27
Flow cover: 97
Flow path: 4
Inf proof: 358
Explored 33181 nodes (486639 simplex iterations) in 52.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.855577 0.855568 0.854395 0.853669
Optimal solution found (tolerance 1.00e-02)
Best objective 8.555772138742e-01, best bound 8.637732742856e-01, gap 0.9580%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc0zfkxbt.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyp85_jxr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844639
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.214563e+00, 1243 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21456 0 92 0.84464 1.21456 43.8% - 0s
0 0 1.20745 0 152 0.84464 1.20745 43.0% - 0s
0 0 1.20726 0 152 0.84464 1.20726 42.9% - 0s
0 0 1.19703 0 158 0.84464 1.19703 41.7% - 0s
0 0 1.19403 0 162 0.84464 1.19403 41.4% - 0s
0 0 1.19057 0 183 0.84464 1.19057 41.0% - 0s
0 0 1.18797 0 185 0.84464 1.18797 40.6% - 0s
0 0 1.18635 0 191 0.84464 1.18635 40.5% - 0s
0 0 1.18622 0 186 0.84464 1.18622 40.4% - 0s
0 0 1.18398 0 185 0.84464 1.18398 40.2% - 0s
0 0 1.18395 0 184 0.84464 1.18395 40.2% - 0s
0 0 1.18346 0 181 0.84464 1.18346 40.1% - 0s
0 0 1.18345 0 182 0.84464 1.18345 40.1% - 0s
0 0 1.18310 0 183 0.84464 1.18310 40.1% - 0s
0 0 1.18309 0 185 0.84464 1.18309 40.1% - 0s
0 0 1.18239 0 186 0.84464 1.18239 40.0% - 0s
0 0 1.18234 0 187 0.84464 1.18234 40.0% - 0s
0 0 1.18234 0 187 0.84464 1.18234 40.0% - 0s
0 0 1.18219 0 187 0.84464 1.18219 40.0% - 0s
0 0 1.18219 0 142 0.84464 1.18219 40.0% - 0s
0 2 1.18219 0 138 0.84464 1.18219 40.0% - 0s
2176 718 infeasible 42 0.84464 1.02474 21.3% 12.6 5s
H 3263 1055 0.8447844 1.00188 18.6% 11.3 6s
H 4550 1303 0.8447844 0.97929 15.9% 10.8 7s
7682 2297 0.91528 96 66 0.84478 0.96501 14.2% 9.4 10s
14518 4360 infeasible 89 0.84478 0.94131 11.4% 8.3 15s
19703 5447 0.87777 84 77 0.84478 0.92771 9.82% 8.3 20s
20927 5652 infeasible 55 0.84478 0.92480 9.47% 8.3 36s
23614 5738 infeasible 83 0.84478 0.91792 8.66% 8.9 40s
27898 6111 0.86416 112 65 0.84478 0.91143 7.89% 9.6 45s
31672 6501 0.84734 125 43 0.84478 0.90683 7.34% 10.1 50s
H33554 6560 0.8447844 0.90393 7.00% 10.3 53s
34059 6518 0.84769 125 62 0.84478 0.90327 6.92% 10.4 55s
37966 6558 infeasible 81 0.84478 0.89771 6.27% 10.8 60s
41039 6658 0.86441 77 127 0.84478 0.89364 5.78% 11.0 65s
44839 6474 0.86918 95 101 0.84478 0.88813 5.13% 11.2 70s
48518 6231 infeasible 69 0.84478 0.88383 4.62% 11.4 75s
51687 5708 infeasible 99 0.84478 0.87924 4.08% 11.6 80s
54935 5128 infeasible 126 0.84478 0.87464 3.53% 11.8 85s
58063 4464 infeasible 84 0.84478 0.87011 3.00% 11.8 90s
60747 3671 0.85983 111 55 0.84478 0.86339 2.20% 11.9 95s
*62768 3188 159 0.8452836 0.85983 1.72% 11.9 98s
62899 3220 infeasible 107 0.84528 0.85913 1.64% 11.9 100s
*64890 2548 184 0.8452906 0.85510 1.16% 11.9 103s
Cutting planes:
Learned: 1
Gomory: 24
Cover: 4
Implied bound: 21
Projected implied bound: 17
Clique: 1
MIR: 51
StrongCG: 1
Flow cover: 106
Flow path: 3
Inf proof: 3
Explored 65673 nodes (780614 simplex iterations) in 103.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.845291 0.845284 0.844784 ... 0.844639
Optimal solution found (tolerance 1.00e-02)
Best objective 8.452905979194e-01, best bound 8.536043298249e-01, gap 0.9835%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp781oiky7.pyomo.lp
Reading time = 0.02 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptshwzgal.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.835932
Presolve removed 715 rows and 445 columns
Presolve time: 0.04s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.194154e+00, 1204 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19415 0 91 0.83593 1.19415 42.9% - 0s
0 0 1.18787 0 140 0.83593 1.18787 42.1% - 0s
0 0 1.18770 0 140 0.83593 1.18770 42.1% - 0s
0 0 1.17229 0 156 0.83593 1.17229 40.2% - 0s
0 0 1.17157 0 156 0.83593 1.17157 40.2% - 0s
0 0 1.16728 0 155 0.83593 1.16728 39.6% - 0s
0 0 1.16681 0 153 0.83593 1.16681 39.6% - 0s
0 0 1.16368 0 162 0.83593 1.16368 39.2% - 0s
0 0 1.16357 0 162 0.83593 1.16357 39.2% - 0s
0 0 1.16314 0 169 0.83593 1.16314 39.1% - 0s
0 0 1.16313 0 168 0.83593 1.16313 39.1% - 0s
0 0 1.16289 0 166 0.83593 1.16289 39.1% - 0s
0 0 1.16289 0 166 0.83593 1.16289 39.1% - 0s
0 0 1.16289 0 166 0.83593 1.16289 39.1% - 0s
0 0 1.16289 0 166 0.83593 1.16289 39.1% - 0s
0 0 1.16289 0 136 0.83593 1.16289 39.1% - 0s
0 0 1.16289 0 137 0.83593 1.16289 39.1% - 0s
0 0 1.16289 0 137 0.83593 1.16289 39.1% - 0s
0 0 1.16289 0 135 0.83593 1.16289 39.1% - 0s
0 2 1.16289 0 134 0.83593 1.16289 39.1% - 0s
1729 696 1.01649 31 115 0.83593 1.06250 27.1% 15.6 5s
5762 1707 0.92594 76 81 0.83593 0.96747 15.7% 12.6 10s
H12773 3871 0.8359320 0.93476 11.8% 9.8 15s
H12776 3871 0.8359320 0.93476 11.8% 9.8 15s
16115 4265 infeasible 101 0.83593 0.92105 10.2% 9.7 20s
20409 4281 0.85634 98 77 0.83593 0.90065 7.74% 9.8 25s
21250 4366 0.84987 62 135 0.83593 0.89707 7.31% 9.9 38s
21260 4373 0.86046 107 208 0.83593 0.89707 7.31% 9.9 40s
21276 4383 0.87611 142 217 0.83593 0.89707 7.31% 9.9 45s
21293 4395 0.84532 127 218 0.83593 0.89707 7.31% 9.9 50s
21302 4402 0.89707 25 199 0.83593 0.89707 7.31% 10.1 56s
21315 4403 0.89707 30 154 0.83593 0.89707 7.31% 10.1 60s
H21695 4214 0.8362824 0.89707 7.27% 10.6 63s
22104 4239 infeasible 41 0.83628 0.89707 7.27% 10.7 65s
H23627 4072 0.8364113 0.89707 7.25% 11.3 68s
24343 4144 infeasible 105 0.83641 0.89707 7.25% 11.4 70s
H26677 4249 0.8364113 0.89707 7.25% 11.5 74s
26764 4243 0.88660 52 75 0.83641 0.89707 7.25% 11.5 75s
30249 4525 infeasible 51 0.83641 0.89707 7.25% 11.5 80s
33478 4623 0.85473 53 102 0.83641 0.88961 6.36% 11.7 85s
37560 5621 infeasible 58 0.83641 0.88148 5.39% 11.9 90s
39729 6028 0.87298 60 55 0.83641 0.87872 5.06% 11.9 95s
42571 6427 infeasible 62 0.83641 0.87573 4.70% 12.1 100s
45577 6980 cutoff 67 0.83641 0.87366 4.45% 12.2 105s
48368 7070 infeasible 58 0.83641 0.87117 4.16% 12.4 110s
51356 7044 0.84172 70 49 0.83641 0.86835 3.82% 12.6 115s
54519 6881 0.86415 53 87 0.83641 0.86572 3.50% 12.8 120s
56770 6582 infeasible 68 0.83641 0.86317 3.20% 12.9 125s
59555 6053 0.85895 71 63 0.83641 0.85982 2.80% 13.0 130s
61949 5741 cutoff 66 0.83641 0.85722 2.49% 13.0 135s
64527 5240 infeasible 78 0.83641 0.85442 2.15% 13.0 140s
67110 4602 0.84722 64 88 0.83641 0.85182 1.84% 13.1 145s
68724 4174 cutoff 83 0.83641 0.85026 1.66% 13.0 150s
71311 3308 infeasible 75 0.83641 0.84735 1.31% 13.0 155s
Cutting planes:
Learned: 6
Gomory: 82
Cover: 4
Implied bound: 29
Projected implied bound: 22
Clique: 5
MIR: 24
Flow cover: 63
Flow path: 3
Inf proof: 1
Explored 73499 nodes (957332 simplex iterations) in 158.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.836411 0.836411 0.836282 ... 0.835932
Optimal solution found (tolerance 1.00e-02)
Best objective 8.364113405173e-01, best bound 8.447740539863e-01, gap 0.9998%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt25ng9d0.pyomo.lp
Reading time = 0.02 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdmvyj26u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.8274
Presolve removed 728 rows and 453 columns
Presolve time: 0.04s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.179836e+00, 1235 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17984 0 93 0.82740 1.17984 42.6% - 0s
0 0 1.17538 0 126 0.82740 1.17538 42.1% - 0s
0 0 1.17538 0 126 0.82740 1.17538 42.1% - 0s
0 0 1.15253 0 172 0.82740 1.15253 39.3% - 0s
0 0 1.15232 0 171 0.82740 1.15232 39.3% - 0s
0 0 1.14776 0 174 0.82740 1.14776 38.7% - 0s
0 0 1.14476 0 176 0.82740 1.14476 38.4% - 0s
0 0 1.14372 0 180 0.82740 1.14372 38.2% - 0s
0 0 1.14284 0 183 0.82740 1.14284 38.1% - 0s
0 0 1.14264 0 184 0.82740 1.14264 38.1% - 0s
0 0 1.14263 0 187 0.82740 1.14263 38.1% - 0s
0 0 1.14257 0 188 0.82740 1.14257 38.1% - 0s
0 0 1.14239 0 193 0.82740 1.14239 38.1% - 0s
0 0 1.14174 0 189 0.82740 1.14174 38.0% - 0s
0 0 1.14173 0 190 0.82740 1.14173 38.0% - 0s
0 0 1.14172 0 196 0.82740 1.14172 38.0% - 0s
0 0 1.14170 0 195 0.82740 1.14170 38.0% - 0s
0 0 1.14164 0 193 0.82740 1.14164 38.0% - 0s
0 0 1.14164 0 160 0.82740 1.14164 38.0% - 0s
0 2 1.14164 0 157 0.82740 1.14164 38.0% - 0s
1479 603 0.91488 98 100 0.82740 1.03444 25.0% 15.7 5s
5230 1794 infeasible 64 0.82740 0.96318 16.4% 12.1 10s
11795 3486 0.84847 71 89 0.82740 0.91829 11.0% 9.8 15s
17359 4655 0.85280 93 55 0.82740 0.89050 7.63% 9.2 20s
20597 5419 0.84224 80 160 0.82740 0.88547 7.02% 9.0 37s
20612 5429 0.86623 74 207 0.82740 0.88547 7.02% 9.0 40s
20629 5440 0.86448 66 210 0.82740 0.88547 7.02% 9.0 45s
20648 5453 0.84940 106 236 0.82740 0.88547 7.02% 9.0 50s
20667 5466 0.84189 88 239 0.82740 0.88547 7.02% 9.0 55s
20684 5477 0.85430 141 240 0.82740 0.88547 7.02% 9.0 60s
20701 5488 0.83622 118 236 0.82740 0.88547 7.02% 9.0 65s
20713 5496 0.87479 114 244 0.82740 0.88547 7.02% 9.0 70s
20730 5508 0.87551 73 238 0.82740 0.88547 7.02% 9.0 75s
20736 5513 0.88547 25 217 0.82740 0.88547 7.02% 9.2 81s
H20745 5234 0.8273995 0.88547 7.02% 9.3 84s
20747 5237 0.88547 29 206 0.82740 0.88547 7.02% 9.3 85s
H20835 4985 0.8273995 0.88547 7.02% 9.4 87s
21145 5013 cutoff 50 0.82740 0.88547 7.02% 9.8 90s
22222 4984 0.88547 35 174 0.82740 0.88547 7.02% 10.6 95s
25345 4860 0.84392 85 82 0.82740 0.88547 7.02% 10.9 100s
31962 5284 0.87967 69 92 0.82740 0.88547 7.02% 10.7 105s
H34167 5089 0.8274813 0.88547 7.01% 10.7 107s
35476 5278 0.85129 57 106 0.82748 0.88547 7.01% 10.7 110s
38478 6056 infeasible 68 0.82748 0.88547 7.01% 10.9 115s
42081 6766 0.85699 108 160 0.82748 0.88547 7.01% 11.0 123s
42093 6774 0.83918 84 203 0.82748 0.88547 7.01% 11.0 125s
42109 6785 0.86605 85 212 0.82748 0.88547 7.01% 11.0 130s
42126 6796 0.86281 45 234 0.82748 0.88547 7.01% 11.0 135s
42151 6813 0.84969 76 230 0.82748 0.88547 7.01% 11.0 140s
42171 6826 0.87412 79 239 0.82748 0.88547 7.01% 11.0 145s
42184 6836 0.88547 36 235 0.82748 0.88547 7.01% 10.8 152s
42188 6835 0.88547 38 231 0.82748 0.88547 7.01% 10.9 155s
42277 6858 0.88547 60 168 0.82748 0.88547 7.01% 10.9 160s
44093 7043 cutoff 73 0.82748 0.88547 7.01% 11.4 165s
48470 7199 0.85034 71 128 0.82748 0.88167 6.55% 11.8 170s
53003 7078 0.83736 90 62 0.82748 0.87109 5.27% 12.0 175s
57709 6868 0.86134 83 118 0.82748 0.86436 4.46% 12.0 180s
62228 5981 0.83020 98 77 0.82748 0.85707 3.58% 12.0 185s
65888 5591 0.82873 119 4 0.82748 0.84859 2.55% 12.1 190s
*65892 5487 121 0.8279267 0.84859 2.50% 12.1 190s
H66077 5513 0.8279267 0.84786 2.41% 12.1 191s
67756 5129 infeasible 71 0.82793 0.84415 1.96% 12.1 195s
H68566 4948 0.8279355 0.84283 1.80% 12.1 197s
70313 4498 infeasible 81 0.82794 0.83990 1.45% 12.1 200s
72368 3902 infeasible 92 0.82794 0.83719 1.12% 12.1 205s
Cutting planes:
Learned: 2
Gomory: 110
Implied bound: 30
Projected implied bound: 38
Clique: 5
MIR: 26
Flow cover: 69
Flow path: 2
GUB cover: 3
Explored 73400 nodes (901730 simplex iterations) in 206.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.827935 0.827927 0.827927 ... 0.8274
Optimal solution found (tolerance 1.00e-02)
Best objective 8.279354515123e-01, best bound 8.362023983689e-01, gap 0.9985%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph1rtyhwp.pyomo.lp
Reading time = 0.02 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp40v9vz0i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.814283
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.157839e+00, 1275 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15784 0 97 0.81428 1.15784 42.2% - 0s
0 0 1.15167 0 162 0.81428 1.15167 41.4% - 0s
0 0 1.15159 0 163 0.81428 1.15159 41.4% - 0s
0 0 1.13155 0 164 0.81428 1.13155 39.0% - 0s
0 0 1.12871 0 169 0.81428 1.12871 38.6% - 0s
0 0 1.12578 0 176 0.81428 1.12578 38.3% - 0s
0 0 1.12557 0 175 0.81428 1.12557 38.2% - 0s
0 0 1.12392 0 181 0.81428 1.12392 38.0% - 0s
0 0 1.12376 0 183 0.81428 1.12376 38.0% - 0s
0 0 1.12339 0 184 0.81428 1.12339 38.0% - 0s
0 0 1.12337 0 184 0.81428 1.12337 38.0% - 0s
0 0 1.12281 0 184 0.81428 1.12281 37.9% - 0s
0 0 1.12267 0 184 0.81428 1.12267 37.9% - 0s
0 0 1.12259 0 184 0.81428 1.12259 37.9% - 0s
0 0 1.12259 0 184 0.81428 1.12259 37.9% - 0s
0 0 1.12259 0 156 0.81428 1.12259 37.9% - 0s
0 2 1.12259 0 153 0.81428 1.12259 37.9% - 0s
1436 632 0.93556 43 141 0.81428 1.03215 26.8% 18.4 5s
4944 1705 0.91716 62 91 0.81428 0.96388 18.4% 16.3 10s
8658 2295 0.89142 62 98 0.81428 0.91843 12.8% 14.0 15s
14443 3792 0.82062 81 81 0.81428 0.89505 9.92% 11.4 20s
19612 4434 infeasible 43 0.81428 0.88118 8.22% 10.7 25s
20845 4503 0.86086 105 156 0.81428 0.87704 7.71% 10.6 41s
20865 4516 0.82193 79 228 0.81428 0.87704 7.71% 10.6 45s
20881 4527 0.84686 77 218 0.81428 0.87704 7.71% 10.6 50s
20899 4539 0.82185 110 226 0.81428 0.87704 7.71% 10.6 55s
20911 4547 0.87536 60 232 0.81428 0.87704 7.71% 10.6 60s
20929 4559 0.81468 98 245 0.81428 0.87704 7.71% 10.6 65s
20940 4566 0.84616 78 243 0.81428 0.87704 7.71% 10.6 70s
20944 4571 0.87704 25 232 0.81428 0.87704 7.71% 10.8 76s
20946 4570 0.87704 26 227 0.81428 0.87704 7.71% 10.8 80s
H21054 4325 0.8142826 0.87704 7.71% 11.1 83s
21183 4310 infeasible 51 0.81428 0.87704 7.71% 11.4 85s
22149 4370 0.81442 143 11 0.81428 0.87704 7.71% 12.6 90s
23396 4197 0.85023 76 107 0.81428 0.87704 7.71% 13.9 95s
24853 4216 0.86457 54 98 0.81428 0.87704 7.71% 14.3 100s
27222 4235 cutoff 43 0.81428 0.87704 7.71% 15.2 105s
29046 4142 infeasible 48 0.81428 0.87704 7.71% 15.6 110s
31530 4024 cutoff 73 0.81428 0.87273 7.18% 15.9 115s
33814 3745 infeasible 44 0.81428 0.86727 6.51% 16.3 120s
35511 3961 cutoff 51 0.81428 0.86197 5.86% 16.5 125s
38124 4383 infeasible 59 0.81428 0.85740 5.30% 16.5 130s
40049 4578 infeasible 61 0.81428 0.85313 4.77% 16.6 135s
42370 4715 infeasible 94 0.81428 0.84916 4.28% 16.7 140s
44416 4790 0.84405 74 63 0.81428 0.84610 3.91% 16.7 145s
46558 4629 0.84180 66 100 0.81428 0.84246 3.46% 16.8 150s
48770 4525 infeasible 74 0.81428 0.83887 3.02% 16.9 155s
50771 4367 cutoff 57 0.81428 0.83555 2.61% 16.8 160s
53397 4255 0.82866 57 118 0.81428 0.83234 2.22% 16.8 166s
54625 4013 infeasible 78 0.81428 0.83081 2.03% 16.8 170s
57142 3797 0.82819 71 60 0.81428 0.82827 1.72% 16.6 175s
59856 3387 infeasible 72 0.81428 0.82568 1.40% 16.5 180s
62312 2745 0.81977 74 51 0.81428 0.82320 1.09% 16.3 185s
Cutting planes:
Learned: 9
Gomory: 197
Cover: 6
Implied bound: 33
Projected implied bound: 38
Clique: 7
MIR: 54
Flow cover: 130
Flow path: 2
Inf proof: 2
Explored 63111 nodes (1030911 simplex iterations) in 186.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.814283 0.814283
Optimal solution found (tolerance 1.00e-02)
Best objective 8.142826422870e-01, best bound 8.224130528315e-01, gap 0.9985%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxm3hehac.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprxj27l8_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.80527
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.144374e+00, 1266 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14437 0 97 0.80527 1.14437 42.1% - 0s
0 0 1.14030 0 124 0.80527 1.14030 41.6% - 0s
0 0 1.14030 0 124 0.80527 1.14030 41.6% - 0s
0 0 1.11309 0 156 0.80527 1.11309 38.2% - 0s
0 0 1.11283 0 158 0.80527 1.11283 38.2% - 0s
0 0 1.11140 0 168 0.80527 1.11140 38.0% - 0s
0 0 1.10793 0 173 0.80527 1.10793 37.6% - 0s
0 0 1.10654 0 176 0.80527 1.10654 37.4% - 0s
0 0 1.10540 0 183 0.80527 1.10540 37.3% - 0s
0 0 1.10535 0 182 0.80527 1.10535 37.3% - 0s
0 0 1.10535 0 184 0.80527 1.10535 37.3% - 0s
0 0 1.10534 0 188 0.80527 1.10534 37.3% - 0s
0 0 1.10534 0 188 0.80527 1.10534 37.3% - 0s
0 0 1.10534 0 188 0.80527 1.10534 37.3% - 0s
0 0 1.10534 0 155 0.80527 1.10534 37.3% - 0s
0 2 1.10534 0 152 0.80527 1.10534 37.3% - 0s
787 586 1.02960 16 141 0.80527 1.02960 27.9% 18.3 5s
2969 942 0.87883 93 89 0.80527 0.99399 23.4% 16.6 10s
8558 2885 infeasible 50 0.80527 0.92551 14.9% 12.0 15s
H 9257 2948 0.8052701 0.91904 14.1% 11.8 16s
11901 3001 infeasible 46 0.80527 0.89416 11.0% 10.8 20s
18267 4774 0.80754 83 47 0.80527 0.87841 9.08% 9.5 25s
21433 5473 0.83390 71 155 0.80527 0.86956 7.98% 9.2 44s
21436 5475 0.86041 83 155 0.80527 0.86956 7.98% 9.2 45s
21446 5482 0.86687 77 195 0.80527 0.86956 7.98% 9.2 50s
21451 5485 0.86355 71 203 0.80527 0.86956 7.98% 9.2 55s
21457 5489 0.85243 51 219 0.80527 0.86956 7.98% 9.2 60s
21466 5495 0.83844 78 242 0.80527 0.86956 7.98% 9.2 65s
21471 5498 0.83313 89 247 0.80527 0.86956 7.98% 9.2 70s
21476 5502 0.81710 136 269 0.80527 0.86956 7.98% 9.2 75s
21481 5505 0.81966 108 258 0.80527 0.86956 7.98% 9.2 81s
21485 5508 0.85008 64 242 0.80527 0.86956 7.98% 9.2 85s
21489 5510 0.81419 100 252 0.80527 0.86956 7.98% 9.2 90s
21494 5514 0.82548 97 260 0.80527 0.86956 7.98% 9.2 96s
21498 5516 0.86784 90 257 0.80527 0.86956 7.98% 9.2 100s
21503 5520 0.86001 83 264 0.80527 0.86956 7.98% 9.2 105s
21507 5522 0.85188 81 276 0.80527 0.86956 7.98% 9.2 110s
21511 5525 0.86578 65 273 0.80527 0.86956 7.98% 9.2 115s
21514 5527 0.83893 65 274 0.80527 0.86956 7.98% 9.2 121s
21518 5530 0.83882 86 254 0.80527 0.86956 7.98% 9.2 126s
21522 5532 0.86455 63 279 0.80527 0.86956 7.98% 9.2 130s
21528 5536 0.81686 116 273 0.80527 0.86956 7.98% 9.2 135s
21533 5540 0.83390 71 275 0.80527 0.86956 7.98% 9.2 140s
21538 5543 0.84615 85 263 0.80527 0.86956 7.98% 9.2 145s
21543 5546 0.84414 90 275 0.80527 0.86956 7.98% 9.2 150s
H21545 5268 0.8052701 0.86956 7.98% 9.2 153s
21548 5270 0.81836 105 267 0.80527 0.86956 7.98% 9.2 155s
21553 5273 0.83271 93 265 0.80527 0.86956 7.98% 9.2 160s
21556 5275 0.81328 89 245 0.80527 0.86956 7.98% 9.2 166s
21559 5277 0.83543 96 258 0.80527 0.86956 7.98% 9.2 170s
21564 5280 0.83696 118 278 0.80527 0.86956 7.98% 9.2 175s
21566 5282 0.83844 78 0 0.80527 0.86956 7.98% 9.2 199s
21567 5282 0.86923 45 0 0.80527 0.86956 7.98% 9.2 223s
21569 5287 postponed 26 0.80527 0.86956 7.98% 15.5 254s
21571 5287 0.86956 27 274 0.80527 0.86956 7.98% 16.1 276s
21579 5290 0.86956 29 271 0.80527 0.86956 7.98% 18.2 285s
21583 5290 0.86956 29 239 0.80527 0.86956 7.98% 19.1 292s
21587 5291 0.86956 30 262 0.80527 0.86956 7.98% 19.7 299s
21591 5293 0.86956 30 240 0.80527 0.86956 7.98% 20.0 305s
21595 5292 postponed 31 0.80527 0.86956 7.98% 20.5 310s
21620 5294 0.86956 34 296 0.80527 0.86956 7.98% 21.4 315s
21741 5286 postponed 31 0.80527 0.86956 7.98% 22.6 320s
21785 5292 cutoff 34 0.80527 0.86956 7.98% 24.7 326s
21815 5291 postponed 31 0.80527 0.86956 7.98% 25.9 330s
21867 5298 infeasible 34 0.80527 0.86956 7.98% 27.9 337s
21899 5294 infeasible 35 0.80527 0.86956 7.98% 28.7 341s
21935 5297 infeasible 37 0.80527 0.86956 7.98% 30.8 345s
22020 5329 postponed 38 0.80527 0.86956 7.98% 33.6 350s
22198 5378 infeasible 42 0.80527 0.86956 7.98% 35.7 355s
22289 5382 infeasible 44 0.80527 0.86956 7.98% 36.5 360s
22453 5387 infeasible 50 0.80527 0.86956 7.98% 39.3 365s
22671 5390 infeasible 56 0.80527 0.86956 7.98% 42.4 371s
22868 5436 infeasible 60 0.80527 0.86956 7.98% 43.8 375s
23108 5503 postponed 64 0.80527 0.86956 7.98% 45.8 380s
23256 5513 postponed 69 0.80527 0.86956 7.98% 47.7 385s
23313 5501 postponed 73 0.80527 0.86956 7.98% 49.3 390s
23748 5532 postponed 80 0.80527 0.86956 7.98% 52.0 397s
23871 5536 postponed 82 0.80527 0.86956 7.98% 53.4 400s
23895 5541 postponed 87 0.80527 0.86956 7.98% 58.8 405s
23948 5544 postponed 92 0.80527 0.86956 7.98% 63.7 411s
23979 5553 postponed 98 0.80527 0.86956 7.98% 69.5 417s
23995 5556 postponed 101 0.80527 0.86956 7.98% 72.5 420s
24023 5567 postponed 107 0.80527 0.86956 7.98% 78.4 426s
24050 5578 postponed 113 0.80527 0.86956 7.98% 84.2 432s
24067 5582 postponed 117 0.80527 0.86956 7.98% 87.5 435s
24106 5590 postponed 123 0.80527 0.86956 7.98% 93.8 440s
24143 5600 postponed 129 0.80527 0.86956 7.98% 101 450s
24192 5605 postponed 135 0.80527 0.86956 7.98% 107 457s
24210 5606 infeasible 138 0.80527 0.86956 7.98% 110 460s
24252 5616 infeasible 146 0.80527 0.86956 7.98% 117 467s
24284 5617 postponed 151 0.80527 0.86956 7.98% 122 474s
24312 5606 infeasible 38 0.80527 0.86956 7.98% 125 478s
24359 5600 postponed 110 0.80527 0.86956 7.98% 130 484s
24417 5561 postponed 117 0.80527 0.86956 7.98% 137 490s
24507 5507 postponed 125 0.80527 0.86956 7.98% 143 497s
24586 5471 postponed 133 0.80527 0.86956 7.98% 149 503s
24654 5424 infeasible 142 0.80527 0.86956 7.98% 154 510s
24986 5139 0.86141 51 208 0.80527 0.86956 7.98% 159 519s
25233 5117 0.80621 50 183 0.80527 0.86956 7.98% 158 524s
25403 5080 0.85498 52 208 0.80527 0.86956 7.98% 158 529s
25871 5072 0.83511 67 177 0.80527 0.86956 7.98% 156 535s
26505 5058 0.86956 36 242 0.80527 0.86956 7.98% 154 543s
26949 5023 0.81218 88 135 0.80527 0.86956 7.98% 152 549s
27682 5043 0.82361 95 110 0.80527 0.86956 7.98% 150 554s
28509 5101 0.86956 67 168 0.80527 0.86956 7.98% 146 560s
29265 5094 infeasible 64 0.80527 0.86956 7.98% 144 565s
29929 5110 infeasible 51 0.80527 0.86956 7.98% 141 570s
30559 5085 0.84044 63 149 0.80527 0.86956 7.98% 140 576s
31278 5034 0.81425 86 119 0.80527 0.86956 7.98% 137 582s
32111 5003 infeasible 60 0.80527 0.86956 7.98% 135 587s
32889 5020 0.86956 62 155 0.80527 0.86956 7.98% 132 593s
33712 4987 0.86956 61 168 0.80527 0.86956 7.98% 130 598s
34537 5033 0.80920 114 62 0.80527 0.86956 7.98% 127 600s
Cutting planes:
Learned: 1
Gomory: 100
Cover: 5
Implied bound: 13
Projected implied bound: 30
Clique: 5
MIR: 104
StrongCG: 2
Flow cover: 266
Flow path: 2
Inf proof: 6
Zero half: 1
Explored 34820 nodes (4411960 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.80527 0.80527 0.80527
Time limit reached
Best objective 8.052700802036e-01, best bound 8.695614330687e-01, gap 7.9838%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuydo9d2c.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiym0e42y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.797294
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.131278e+00, 1449 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13128 0 97 0.79729 1.13128 41.9% - 0s
0 0 1.12786 0 152 0.79729 1.12786 41.5% - 0s
0 0 1.12786 0 148 0.79729 1.12786 41.5% - 0s
0 0 1.11593 0 179 0.79729 1.11593 40.0% - 0s
0 0 1.10961 0 186 0.79729 1.10961 39.2% - 0s
0 0 1.10809 0 199 0.79729 1.10809 39.0% - 0s
0 0 1.10520 0 196 0.79729 1.10520 38.6% - 0s
0 0 1.10345 0 205 0.79729 1.10345 38.4% - 0s
0 0 1.10272 0 206 0.79729 1.10272 38.3% - 0s
0 0 1.10158 0 214 0.79729 1.10158 38.2% - 0s
0 0 1.10141 0 212 0.79729 1.10141 38.1% - 0s
0 0 1.10136 0 214 0.79729 1.10136 38.1% - 0s
0 0 1.10136 0 213 0.79729 1.10136 38.1% - 0s
0 0 1.10136 0 213 0.79729 1.10136 38.1% - 0s
0 0 1.10136 0 162 0.79729 1.10136 38.1% - 0s
0 0 1.10136 0 163 0.79729 1.10136 38.1% - 0s
0 0 1.10136 0 163 0.79729 1.10136 38.1% - 0s
0 0 1.10136 0 158 0.79729 1.10136 38.1% - 0s
0 2 1.10136 0 156 0.79729 1.10136 38.1% - 1s
1302 629 0.92913 30 139 0.79729 1.02431 28.5% 16.4 5s
5723 1119 0.92190 66 110 0.79729 0.93049 16.7% 11.8 10s
H 6632 1269 0.7973012 0.91863 15.2% 11.1 11s
10491 2457 0.80159 108 81 0.79730 0.89878 12.7% 9.9 15s
16440 4119 infeasible 85 0.79730 0.87230 9.41% 9.2 20s
21210 5383 0.83277 91 158 0.79730 0.85963 7.82% 8.8 42s
21225 5393 0.82074 108 251 0.79730 0.85963 7.82% 8.8 45s
21240 5403 0.81654 118 257 0.79730 0.85963 7.82% 8.8 50s
21255 5413 0.80624 151 257 0.79730 0.85963 7.82% 8.8 55s
21268 5422 0.82424 103 257 0.79730 0.85963 7.82% 8.8 60s
21278 5428 0.84354 144 275 0.79730 0.85963 7.82% 8.8 65s
21282 5432 0.85963 26 258 0.79730 0.85963 7.82% 9.0 72s
21306 5433 infeasible 31 0.79730 0.85963 7.82% 9.1 75s
21493 5428 0.85963 33 218 0.79730 0.85963 7.82% 9.7 80s
H21494 5154 0.7973012 0.85963 7.82% 9.7 80s
22485 5288 infeasible 38 0.79730 0.85963 7.82% 10.7 85s
23743 5309 infeasible 43 0.79730 0.85963 7.82% 12.0 90s
25665 5374 0.81278 98 74 0.79730 0.85963 7.82% 13.0 95s
27807 5354 0.85963 58 135 0.79730 0.85963 7.82% 13.6 100s
30960 5505 0.82335 79 108 0.79730 0.85963 7.82% 13.8 105s
H34463 5311 0.7973012 0.85963 7.82% 13.6 110s
35917 5234 0.83948 73 98 0.79730 0.85691 7.48% 13.6 115s
39107 6114 infeasible 68 0.79730 0.85076 6.70% 13.5 120s
42645 7201 cutoff 67 0.79730 0.84617 6.13% 13.2 125s
45947 7846 0.84004 97 102 0.79730 0.84118 5.50% 13.2 130s
48651 8112 0.80225 94 69 0.79730 0.83784 5.09% 13.3 135s
51590 8408 0.83328 63 134 0.79730 0.83456 4.67% 13.3 140s
53935 8437 infeasible 74 0.79730 0.83192 4.34% 13.4 145s
56437 8472 infeasible 72 0.79730 0.82956 4.05% 13.5 150s
58971 8294 0.82447 84 108 0.79730 0.82674 3.69% 13.5 155s
61359 8036 0.81464 76 105 0.79730 0.82436 3.39% 13.6 160s
63730 7735 infeasible 130 0.79730 0.82215 3.12% 13.7 165s
65986 7207 cutoff 79 0.79730 0.81977 2.82% 13.7 170s
68382 6794 cutoff 71 0.79730 0.81727 2.50% 13.8 175s
70800 6358 cutoff 68 0.79730 0.81496 2.21% 13.8 180s
73482 5779 cutoff 108 0.79730 0.81213 1.86% 13.8 185s
76438 5154 0.80915 139 50 0.79730 0.80931 1.51% 13.7 190s
79102 4515 cutoff 83 0.79730 0.80723 1.24% 13.7 195s
Cutting planes:
Gomory: 124
Cover: 2
Implied bound: 27
Projected implied bound: 33
Clique: 2
MIR: 26
Flow cover: 81
Flow path: 2
Inf proof: 2
Explored 81587 nodes (1117120 simplex iterations) in 198.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.797301 0.797301 0.797301 0.797294
Optimal solution found (tolerance 1.00e-02)
Best objective 7.973012132275e-01, best bound 8.051637167028e-01, gap 0.9861%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprj61ibo2.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_u89p27a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.790505
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.115242e+00, 1485 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11524 0 101 0.79050 1.11524 41.1% - 0s
0 0 1.11180 0 159 0.79050 1.11180 40.6% - 0s
0 0 1.11180 0 158 0.79050 1.11180 40.6% - 0s
0 0 1.08417 0 183 0.79050 1.08417 37.1% - 0s
0 0 1.08399 0 182 0.79050 1.08399 37.1% - 0s
0 0 1.08263 0 196 0.79050 1.08263 37.0% - 0s
0 0 1.07920 0 194 0.79050 1.07920 36.5% - 0s
0 0 1.07741 0 211 0.79050 1.07741 36.3% - 0s
0 0 1.07740 0 209 0.79050 1.07740 36.3% - 0s
0 0 1.07734 0 214 0.79050 1.07734 36.3% - 0s
0 0 1.07733 0 215 0.79050 1.07733 36.3% - 0s
0 0 1.07719 0 216 0.79050 1.07719 36.3% - 0s
0 0 1.07714 0 217 0.79050 1.07714 36.3% - 0s
0 0 1.07713 0 219 0.79050 1.07713 36.3% - 0s
0 0 1.07713 0 217 0.79050 1.07713 36.3% - 0s
0 0 1.07713 0 219 0.79050 1.07713 36.3% - 0s
0 0 1.07713 0 169 0.79050 1.07713 36.3% - 0s
0 2 1.07713 0 165 0.79050 1.07713 36.3% - 1s
773 585 0.91376 91 167 0.79050 1.01273 28.1% 13.0 5s
1796 809 0.92819 27 170 0.79050 0.98862 25.1% 24.2 10s
3686 1333 0.79723 89 116 0.79050 0.95383 20.7% 23.6 15s
6583 2255 0.89558 68 111 0.79050 0.92270 16.7% 19.3 20s
10903 3165 infeasible 77 0.79050 0.89331 13.0% 15.9 25s
15634 4753 0.79870 100 93 0.79050 0.88024 11.4% 14.0 30s
20980 6029 0.85635 75 105 0.79050 0.86483 9.40% 13.3 35s
21203 6105 0.80089 121 169 0.79050 0.86454 9.37% 13.3 53s
21212 6111 0.84464 81 228 0.79050 0.86454 9.37% 13.2 56s
21218 6115 0.83824 72 237 0.79050 0.86454 9.37% 13.2 60s
21225 6120 0.79095 90 226 0.79050 0.86454 9.37% 13.2 65s
21230 6123 0.79383 128 242 0.79050 0.86454 9.37% 13.2 70s
21236 6127 0.83953 78 249 0.79050 0.86454 9.37% 13.2 75s
21241 6130 0.81375 89 269 0.79050 0.86454 9.37% 13.2 80s
21247 6134 0.80741 83 265 0.79050 0.86454 9.37% 13.2 85s
21251 6137 0.79635 73 272 0.79050 0.86454 9.37% 13.2 90s
21255 6140 0.84222 76 264 0.79050 0.86454 9.37% 13.2 95s
21260 6143 0.79889 97 264 0.79050 0.86454 9.37% 13.2 100s
21265 6146 0.86047 73 258 0.79050 0.86454 9.37% 13.2 105s
21269 6149 0.81549 91 275 0.79050 0.86454 9.37% 13.2 110s
21273 6152 0.82032 93 253 0.79050 0.86454 9.37% 13.2 115s
21277 6154 0.84620 68 273 0.79050 0.86454 9.37% 13.2 120s
21283 6158 0.83719 79 274 0.79050 0.86454 9.37% 13.2 125s
21289 6162 0.79768 110 278 0.79050 0.86454 9.37% 13.2 130s
21293 6165 0.80643 100 268 0.79050 0.86454 9.37% 13.2 135s
21297 6168 0.81634 84 267 0.79050 0.86454 9.37% 13.2 140s
21303 6172 0.80089 121 277 0.79050 0.86454 9.37% 13.2 145s
21307 6174 0.82653 84 261 0.79050 0.86454 9.37% 13.2 150s
21312 6178 0.84464 81 268 0.79050 0.86454 9.37% 13.2 155s
21316 6180 0.83652 74 269 0.79050 0.86454 9.37% 13.2 160s
21322 6184 0.85644 79 270 0.79050 0.86454 9.37% 13.2 165s
21327 6188 0.84182 49 275 0.79050 0.86454 9.37% 13.2 170s
21331 6190 0.79364 118 272 0.79050 0.86454 9.37% 13.2 175s
21335 6193 0.79521 119 265 0.79050 0.86454 9.37% 13.2 181s
21339 6196 0.81918 85 271 0.79050 0.86454 9.37% 13.2 185s
21343 6198 0.86327 91 261 0.79050 0.86454 9.37% 13.2 191s
21347 6201 0.80741 83 267 0.79050 0.86454 9.37% 13.2 195s
21353 6205 0.83653 70 270 0.79050 0.86454 9.37% 13.2 200s
21358 6208 0.79765 92 279 0.79050 0.86454 9.37% 13.2 205s
21364 6212 0.84906 70 277 0.79050 0.86454 9.37% 13.2 210s
21369 6216 0.81549 91 270 0.79050 0.86454 9.37% 13.1 216s
21373 6218 0.82032 93 272 0.79050 0.86454 9.37% 13.1 220s
21379 6222 0.79698 98 274 0.79050 0.86454 9.37% 13.1 225s
21383 6225 0.83719 79 273 0.79050 0.86454 9.37% 13.1 230s
21388 6228 0.79139 130 270 0.79050 0.86454 9.37% 13.1 235s
21394 6232 0.79602 144 271 0.79050 0.86454 9.37% 13.1 240s
21399 6236 0.79508 151 280 0.79050 0.86454 9.37% 13.1 245s
21404 6239 0.80712 134 273 0.79050 0.86454 9.37% 13.1 250s
21409 6242 0.79248 128 278 0.79050 0.86454 9.37% 13.1 255s
21415 6246 0.82752 76 271 0.79050 0.86454 9.37% 13.1 260s
21419 6250 0.86454 24 273 0.79050 0.86454 9.37% 14.9 270s
21421 6249 infeasible 25 0.79050 0.86454 9.37% 15.0 277s
21423 6250 0.86439 26 270 0.79050 0.86454 9.37% 15.0 285s
21478 6240 0.84402 34 251 0.79050 0.86292 9.16% 15.6 292s
21531 6236 0.83798 39 238 0.79050 0.86281 9.15% 16.1 295s
21776 6253 0.84499 50 200 0.79050 0.86064 8.87% 17.2 301s
*21960 5965 145 0.7905048 0.85921 8.69% 17.7 303s
22033 5972 0.85464 47 208 0.79050 0.85800 8.54% 18.1 305s
22367 5980 0.85307 49 189 0.79050 0.85719 8.44% 19.1 310s
22657 5980 0.84921 54 183 0.79050 0.85519 8.18% 20.1 315s
H23033 5777 0.7905048 0.85441 8.08% 20.8 319s
23037 5770 0.84644 52 184 0.79050 0.85431 8.07% 20.8 321s
23435 5805 infeasible 48 0.79050 0.85318 7.93% 21.9 326s
23846 5865 0.80513 54 168 0.79050 0.85210 7.79% 22.7 330s
24313 5899 0.80910 72 142 0.79050 0.85114 7.67% 23.6 335s
24722 5924 0.83443 56 169 0.79050 0.84958 7.47% 24.7 340s
25279 5972 0.83511 59 147 0.79050 0.84848 7.33% 25.4 345s
25869 6028 0.83337 50 192 0.79050 0.84712 7.16% 25.8 351s
H25884 5738 0.7905049 0.84712 7.16% 25.9 351s
26423 5758 infeasible 47 0.79050 0.84632 7.06% 26.3 357s
27001 5809 cutoff 54 0.79050 0.84548 6.95% 27.0 362s
27507 5813 0.79336 63 129 0.79050 0.84419 6.79% 27.9 367s
27737 5803 infeasible 52 0.79050 0.84347 6.70% 28.4 370s
28244 5779 0.80268 64 107 0.79050 0.84178 6.49% 28.7 376s
29001 5776 0.80179 66 122 0.79050 0.84094 6.38% 29.4 386s
29366 5730 cutoff 65 0.79050 0.83960 6.21% 29.7 390s
30003 5722 0.83370 53 186 0.79050 0.83854 6.08% 30.8 398s
30437 5745 0.82145 58 158 0.79050 0.83762 5.96% 31.1 403s
30832 5768 0.80313 68 111 0.79050 0.83710 5.89% 31.6 408s
31455 5802 infeasible 65 0.79050 0.83652 5.82% 32.0 412s
31972 5763 0.79195 51 172 0.79050 0.83583 5.73% 32.5 416s
32520 5723 0.81247 65 132 0.79050 0.83504 5.63% 32.9 420s
33627 5731 0.81208 65 167 0.79050 0.83371 5.47% 33.4 428s
33955 5699 0.82230 55 202 0.79050 0.83331 5.41% 33.6 432s
34637 5651 0.81844 59 148 0.79050 0.83251 5.31% 33.8 436s
35114 5639 0.82964 58 128 0.79050 0.83221 5.28% 34.0 440s
36172 5538 0.81212 67 144 0.79050 0.83084 5.10% 34.5 447s
36718 5478 0.79665 66 95 0.79050 0.83020 5.02% 34.7 451s
37284 5475 cutoff 56 0.79050 0.82949 4.93% 34.9 455s
38339 5669 0.82402 62 187 0.79050 0.82828 4.78% 35.2 463s
38907 5869 0.81277 57 171 0.79050 0.82791 4.73% 35.4 468s
38957 5838 infeasible 74 0.79050 0.82782 4.72% 35.6 472s
39537 5992 0.82564 59 138 0.79050 0.82752 4.68% 35.7 476s
39958 6065 infeasible 62 0.79050 0.82702 4.62% 35.8 480s
40891 6230 infeasible 55 0.79050 0.82599 4.49% 36.2 487s
41297 6284 infeasible 70 0.79050 0.82567 4.45% 36.4 491s
41708 6350 0.81282 70 103 0.79050 0.82516 4.38% 36.7 497s
42176 6408 cutoff 53 0.79050 0.82419 4.26% 36.9 500s
43231 6582 0.79617 79 69 0.79050 0.82320 4.14% 37.0 507s
43712 6670 cutoff 61 0.79050 0.82273 4.08% 37.2 512s
44343 6851 0.81639 67 144 0.79050 0.82212 4.00% 37.2 515s
45253 6974 0.81296 59 88 0.79050 0.82143 3.91% 37.4 522s
45734 7019 0.80376 60 122 0.79050 0.82099 3.86% 37.5 526s
46255 7087 0.81676 71 121 0.79050 0.82055 3.80% 37.5 530s
47270 7259 0.81708 62 99 0.79050 0.81945 3.66% 37.5 535s
48157 7314 infeasible 75 0.79050 0.81881 3.58% 37.7 542s
48642 7351 0.80364 61 159 0.79050 0.81821 3.50% 37.7 545s
49611 7436 0.81013 72 87 0.79050 0.81714 3.37% 37.7 550s
50883 7529 0.81314 72 115 0.79050 0.81584 3.20% 37.7 556s
51583 7520 0.81394 61 83 0.79050 0.81502 3.10% 37.8 562s
52437 7581 0.79709 63 166 0.79050 0.81433 3.01% 37.7 567s
52950 7628 infeasible 69 0.79050 0.81375 2.94% 37.7 570s
53949 7760 cutoff 65 0.79050 0.81295 2.84% 37.6 575s
54835 7802 cutoff 70 0.79050 0.81228 2.75% 37.6 580s
55865 7898 0.80548 60 141 0.79050 0.81153 2.66% 37.5 585s
56643 7917 infeasible 81 0.79050 0.81101 2.59% 37.6 591s
57452 7915 infeasible 66 0.79050 0.81047 2.53% 37.7 595s
58288 7945 0.80895 78 67 0.79050 0.80990 2.45% 37.6 600s
Cutting planes:
Learned: 7
Gomory: 236
Cover: 23
Implied bound: 48
Projected implied bound: 60
Clique: 19
MIR: 327
StrongCG: 6
Flow cover: 949
Flow path: 7
GUB cover: 1
Inf proof: 318
Explored 58708 nodes (2213079 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.790505 0.790505 0.790505 0.790505
Time limit reached
Best objective 7.905048963522e-01, best bound 8.097355880539e-01, gap 2.4327%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2w5hcn7d.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp07ox123y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.783845
Presolve removed 793 rows and 493 columns
Presolve time: 0.04s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.108113e+00, 1511 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10811 0 102 0.78384 1.10811 41.4% - 0s
0 0 1.10296 0 171 0.78384 1.10296 40.7% - 0s
0 0 1.10278 0 171 0.78384 1.10278 40.7% - 0s
0 0 1.08764 0 187 0.78384 1.08764 38.8% - 0s
0 0 1.08734 0 187 0.78384 1.08734 38.7% - 0s
0 0 1.08200 0 185 0.78384 1.08200 38.0% - 0s
0 0 1.08184 0 184 0.78384 1.08184 38.0% - 0s
0 0 1.07905 0 188 0.78384 1.07905 37.7% - 0s
0 0 1.07903 0 190 0.78384 1.07903 37.7% - 0s
0 0 1.07888 0 192 0.78384 1.07888 37.6% - 0s
0 0 1.07888 0 193 0.78384 1.07888 37.6% - 0s
0 0 1.07762 0 190 0.78384 1.07762 37.5% - 0s
0 0 1.07762 0 194 0.78384 1.07762 37.5% - 0s
0 0 1.07761 0 194 0.78384 1.07761 37.5% - 0s
0 0 1.07757 0 195 0.78384 1.07757 37.5% - 0s
0 0 1.07757 0 196 0.78384 1.07757 37.5% - 0s
0 0 1.07757 0 135 0.78384 1.07757 37.5% - 0s
0 2 1.07757 0 131 0.78384 1.07757 37.5% - 0s
1088 588 0.80853 59 117 0.78384 0.99724 27.2% 17.7 5s
3681 1536 0.86170 100 99 0.78384 0.97633 24.6% 15.9 10s
8043 3271 infeasible 36 0.78384 0.93385 19.1% 14.3 15s
11714 3612 0.81715 69 91 0.78384 0.90467 15.4% 13.4 20s
14428 3666 infeasible 50 0.78384 0.88309 12.7% 12.6 25s
19232 4472 infeasible 131 0.78384 0.86566 10.4% 11.5 30s
20957 4839 0.79348 92 135 0.78384 0.86185 10.0% 11.3 49s
20959 4840 0.83898 72 127 0.78384 0.86185 10.0% 11.3 50s
20981 4855 0.85163 47 261 0.78384 0.86185 10.0% 11.3 55s
20995 4864 0.84781 59 270 0.78384 0.86185 10.0% 11.3 60s
21011 4875 0.84030 54 278 0.78384 0.86185 10.0% 11.3 65s
21025 4884 0.81122 72 284 0.78384 0.86185 10.0% 11.3 70s
21037 4892 0.80087 75 284 0.78384 0.86185 10.0% 11.3 75s
21048 4900 0.85935 45 285 0.78384 0.86185 10.0% 11.3 80s
21052 4903 0.86185 25 258 0.78384 0.86185 10.0% 11.5 87s
21054 4903 0.86185 26 259 0.78384 0.86185 10.0% 11.6 91s
21172 4899 0.86185 33 246 0.78384 0.86185 10.0% 11.8 95s
21393 4910 0.86185 35 239 0.78384 0.86185 10.0% 12.3 100s
22103 4841 0.86185 55 165 0.78384 0.86185 10.0% 13.8 105s
23477 4942 0.83748 68 136 0.78384 0.86185 10.0% 14.5 110s
25796 5060 0.80619 62 155 0.78384 0.85910 9.60% 15.0 115s
28180 5154 infeasible 104 0.78384 0.84737 8.10% 15.2 120s
H30054 5139 0.7838449 0.84244 7.48% 15.1 123s
30540 5073 0.81835 65 129 0.78384 0.84156 7.36% 15.1 125s
33592 5168 infeasible 76 0.78384 0.83684 6.76% 15.0 130s
36272 5425 infeasible 67 0.78384 0.83276 6.24% 15.1 135s
39119 6181 infeasible 62 0.78384 0.82767 5.59% 15.1 140s
41713 6652 infeasible 75 0.78384 0.82257 4.94% 15.3 145s
43976 6991 0.79529 70 94 0.78384 0.81956 4.56% 15.4 150s
46232 7277 0.80988 70 110 0.78384 0.81639 4.15% 15.4 155s
48451 7523 0.79720 69 88 0.78384 0.81407 3.86% 15.5 160s
50866 7838 0.79589 78 73 0.78384 0.81191 3.58% 15.5 165s
53151 8097 infeasible 82 0.78384 0.81032 3.38% 15.5 170s
55717 8514 0.80792 78 92 0.78384 0.80872 3.17% 15.4 175s
58113 8821 0.79638 72 101 0.78384 0.80725 2.99% 15.4 180s
60588 9186 infeasible 76 0.78384 0.80586 2.81% 15.3 185s
62906 9393 infeasible 73 0.78384 0.80457 2.64% 15.3 190s
64509 9496 0.79934 71 84 0.78384 0.80374 2.54% 15.3 195s
66960 9641 0.78663 82 59 0.78384 0.80261 2.39% 15.3 200s
68966 9575 0.80051 82 68 0.78384 0.80159 2.26% 15.3 205s
71547 9628 0.79566 69 123 0.78384 0.80047 2.12% 15.2 210s
73588 9463 0.79838 103 67 0.78384 0.79939 1.98% 15.2 215s
76046 9344 infeasible 85 0.78384 0.79837 1.85% 15.1 220s
78372 9172 0.79435 92 56 0.78384 0.79741 1.73% 15.1 225s
80511 8930 0.79516 83 60 0.78384 0.79658 1.63% 15.1 230s
83079 8514 infeasible 72 0.78384 0.79546 1.48% 15.1 235s
85546 7990 infeasible 75 0.78384 0.79421 1.32% 15.0 240s
87832 7372 infeasible 82 0.78384 0.79312 1.18% 15.0 245s
90424 6700 0.78902 82 68 0.78384 0.79205 1.05% 14.9 250s
Cutting planes:
Learned: 6
Gomory: 223
Cover: 2
Implied bound: 36
Projected implied bound: 61
Clique: 6
MIR: 54
Flow cover: 154
Flow path: 4
GUB cover: 1
Explored 91546 nodes (1365251 simplex iterations) in 252.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.783845 0.783845
Optimal solution found (tolerance 1.00e-02)
Best objective 7.838448544579e-01, best bound 7.915927864676e-01, gap 0.9885%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7stcosud.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpohb4biwu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.772669
Presolve removed 806 rows and 501 columns
Presolve time: 0.04s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.091907e+00, 1545 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09191 0 107 0.77267 1.09191 41.3% - 0s
0 0 1.08815 0 153 0.77267 1.08815 40.8% - 0s
0 0 1.08812 0 154 0.77267 1.08812 40.8% - 0s
0 0 1.05945 0 185 0.77267 1.05945 37.1% - 0s
0 0 1.05859 0 205 0.77267 1.05859 37.0% - 0s
0 0 1.05579 0 203 0.77267 1.05579 36.6% - 0s
0 0 1.05579 0 206 0.77267 1.05579 36.6% - 0s
0 0 1.05451 0 219 0.77267 1.05451 36.5% - 0s
0 0 1.05445 0 222 0.77267 1.05445 36.5% - 0s
0 0 1.05431 0 215 0.77267 1.05431 36.5% - 0s
0 0 1.05429 0 216 0.77267 1.05429 36.4% - 0s
0 0 1.05337 0 210 0.77267 1.05337 36.3% - 0s
0 0 1.05332 0 229 0.77267 1.05332 36.3% - 0s
0 0 1.05312 0 226 0.77267 1.05312 36.3% - 0s
0 0 1.05312 0 226 0.77267 1.05312 36.3% - 0s
0 0 1.05299 0 225 0.77267 1.05299 36.3% - 0s
0 0 1.05299 0 226 0.77267 1.05299 36.3% - 0s
0 0 1.05297 0 226 0.77267 1.05297 36.3% - 0s
0 0 1.05297 0 172 0.77267 1.05297 36.3% - 0s
0 2 1.05297 0 171 0.77267 1.05297 36.3% - 1s
747 551 0.93053 17 172 0.77267 0.99012 28.1% 18.8 5s
1750 845 infeasible 20 0.77267 0.99006 28.1% 24.9 10s
2993 1116 infeasible 46 0.77267 0.97332 26.0% 25.1 15s
5849 2065 0.88110 43 160 0.77267 0.91807 18.8% 22.5 20s
8711 2517 cutoff 43 0.77267 0.89507 15.8% 21.6 25s
11004 2611 0.81149 58 118 0.77267 0.87468 13.2% 20.5 30s
14014 3199 infeasible 64 0.77267 0.86240 11.6% 19.5 35s
17997 4236 infeasible 79 0.77267 0.85045 10.1% 17.9 40s
21281 5218 0.82854 69 172 0.77267 0.84147 8.90% 17.1 62s
21291 5225 0.78378 68 226 0.77267 0.84147 8.90% 17.1 65s
21297 5229 0.81043 77 252 0.77267 0.84147 8.90% 17.1 70s
21304 5233 0.81114 62 269 0.77267 0.84147 8.90% 17.1 76s
21311 5238 0.79067 139 281 0.77267 0.84147 8.90% 17.1 81s
21314 5240 0.83490 97 278 0.77267 0.84147 8.90% 17.1 85s
21317 5242 0.79328 121 284 0.77267 0.84147 8.90% 17.1 90s
21322 5245 0.79024 128 295 0.77267 0.84147 8.90% 17.1 96s
21325 5247 0.83292 78 300 0.77267 0.84147 8.90% 17.1 100s
21329 5250 0.82986 89 290 0.77267 0.84147 8.90% 17.1 105s
21333 5253 0.77858 154 279 0.77267 0.84147 8.90% 17.1 110s
21337 5255 0.80912 95 306 0.77267 0.84147 8.90% 17.1 115s
21340 5257 0.83803 90 277 0.77267 0.84147 8.90% 17.1 120s
21344 5260 0.82549 34 289 0.77267 0.84147 8.90% 17.1 126s
21347 5262 0.78925 102 284 0.77267 0.84147 8.90% 17.1 130s
21350 5264 0.78378 68 283 0.77267 0.84147 8.90% 17.1 135s
21355 5267 0.80400 117 287 0.77267 0.84147 8.90% 17.1 141s
21359 5270 0.83975 70 285 0.77267 0.84147 8.90% 17.1 145s
21362 5272 0.83025 92 275 0.77267 0.84147 8.90% 17.1 150s
21366 5275 0.78955 154 279 0.77267 0.84147 8.90% 17.0 156s
21369 5277 0.82171 108 301 0.77267 0.84147 8.90% 17.0 160s
21373 5279 0.79679 93 305 0.77267 0.84147 8.90% 17.0 165s
21376 5281 0.79635 119 311 0.77267 0.84147 8.90% 17.0 170s
21380 5284 0.78753 117 297 0.77267 0.84147 8.90% 17.0 176s
21383 5286 0.80733 96 296 0.77267 0.84147 8.90% 17.0 180s
21386 5288 0.81845 119 311 0.77267 0.84147 8.90% 17.0 186s
21389 5290 0.83799 34 300 0.77267 0.84147 8.90% 17.0 190s
21392 5292 0.77922 120 300 0.77267 0.84147 8.90% 17.0 195s
21396 5295 0.78063 133 306 0.77267 0.84147 8.90% 17.0 201s
21400 5297 0.79812 35 307 0.77267 0.84147 8.90% 17.0 205s
21404 5300 0.81114 62 318 0.77267 0.84147 8.90% 17.0 210s
21407 5302 0.79984 43 306 0.77267 0.84147 8.90% 17.0 215s
H21407 5034 0.7726690 0.84147 8.90% 17.0 218s
21410 5036 0.83954 64 309 0.77267 0.84147 8.90% 17.0 220s
21414 5039 0.83490 97 315 0.77267 0.84147 8.90% 17.0 225s
21417 5041 0.79328 121 319 0.77267 0.84147 8.90% 17.0 230s
21420 5043 0.79526 107 300 0.77267 0.84147 8.90% 17.0 235s
21424 5045 0.81734 56 295 0.77267 0.84147 8.90% 17.0 240s
21427 5047 0.82283 83 317 0.77267 0.84147 8.90% 17.0 245s
21431 5050 0.82729 100 323 0.77267 0.84147 8.90% 17.0 250s
21436 5053 0.81403 90 313 0.77267 0.84147 8.90% 17.0 255s
21441 5057 0.78907 90 269 0.77267 0.84147 8.90% 17.0 262s
21443 5058 0.83766 85 289 0.77267 0.84147 8.90% 17.0 265s
21448 5061 0.84019 74 294 0.77267 0.84147 8.90% 17.0 270s
21451 5063 0.82254 69 287 0.77267 0.84147 8.90% 17.0 275s
21455 5066 0.80400 117 277 0.77267 0.84147 8.90% 17.0 281s
21459 5069 0.83975 70 278 0.77267 0.84147 8.90% 17.0 285s
21463 5071 0.82394 95 280 0.77267 0.84147 8.90% 17.0 290s
21467 5074 0.82145 76 275 0.77267 0.84147 8.90% 17.0 296s
21470 5076 0.79913 109 287 0.77267 0.84147 8.90% 17.0 300s
21473 5078 0.79679 93 267 0.77267 0.84147 8.90% 17.0 306s
21477 5081 0.80796 57 292 0.77267 0.84147 8.90% 17.0 310s
21482 5084 0.83011 101 296 0.77267 0.84147 8.90% 17.0 315s
H21482 4827 0.7726690 0.84147 8.90% 17.0 318s
21485 4829 0.83117 86 283 0.77267 0.84147 8.90% 17.0 321s
21489 4832 0.83799 34 306 0.77267 0.84147 8.90% 16.9 326s
21492 4834 0.77922 120 300 0.77267 0.84147 8.90% 16.9 330s
21497 4837 0.81043 77 291 0.77267 0.84147 8.90% 16.9 336s
21501 4840 0.80000 97 298 0.77267 0.84147 8.90% 16.9 341s
21503 4842 0.84147 25 244 0.77267 0.84147 8.90% 20.5 351s
21505 4841 0.82055 26 206 0.77267 0.84147 8.90% 20.6 357s
21509 4841 infeasible 28 0.77267 0.84147 8.90% 20.6 360s
21552 4844 0.84147 36 248 0.77267 0.84147 8.90% 20.9 365s
21678 4833 0.84147 39 279 0.77267 0.84147 8.90% 21.6 370s
21842 4815 0.78516 54 224 0.77267 0.84147 8.90% 22.6 375s
21985 4800 0.80084 38 215 0.77267 0.84147 8.90% 23.7 380s
22136 4787 0.77916 38 224 0.77267 0.84147 8.90% 24.6 385s
22400 4841 0.84147 41 240 0.77267 0.84147 8.90% 25.6 390s
22826 4869 0.80554 46 224 0.77267 0.84147 8.90% 26.8 395s
23225 4932 0.80456 40 201 0.77267 0.84147 8.90% 27.8 401s
23513 4979 0.82384 54 183 0.77267 0.84147 8.90% 28.3 405s
23758 4984 infeasible 47 0.77267 0.84147 8.90% 28.9 412s
H23787 4741 0.7726690 0.84147 8.90% 28.9 412s
23927 4746 0.81193 68 179 0.77267 0.84147 8.90% 29.3 416s
24399 4740 0.77849 62 159 0.77267 0.84031 8.75% 30.1 421s
24761 4745 0.80086 54 195 0.77267 0.83930 8.62% 30.7 425s
25246 4728 0.82268 53 228 0.77267 0.83787 8.44% 31.7 432s
25552 4710 0.81009 53 203 0.77267 0.83714 8.34% 32.7 436s
25979 4708 infeasible 64 0.77267 0.83631 8.24% 33.6 441s
26415 4672 cutoff 84 0.77267 0.83589 8.18% 34.4 447s
26638 4658 cutoff 53 0.77267 0.83582 8.17% 35.0 458s
H26641 4424 0.7726690 0.83582 8.17% 35.0 458s
26646 4406 infeasible 51 0.77267 0.83543 8.12% 35.0 461s
26884 4385 infeasible 43 0.77267 0.83516 8.09% 35.5 465s
27389 4329 infeasible 55 0.77267 0.83464 8.02% 36.4 472s
27472 4295 0.82396 51 169 0.77267 0.83426 7.97% 36.6 475s
28164 4243 cutoff 53 0.77267 0.83338 7.86% 37.5 482s
28513 4215 0.79068 53 171 0.77267 0.83282 7.78% 38.0 487s
28956 4185 infeasible 63 0.77267 0.83196 7.67% 38.4 491s
29222 4126 0.80191 57 162 0.77267 0.83150 7.61% 39.0 495s
29667 4078 infeasible 51 0.77267 0.83071 7.51% 39.5 500s
30590 3994 0.82710 62 177 0.77267 0.82834 7.20% 40.5 509s
31042 3933 0.82680 54 139 0.77267 0.82785 7.14% 41.0 514s
31495 3862 cutoff 53 0.77267 0.82686 7.01% 41.5 519s
32112 3837 0.82522 53 142 0.77267 0.82620 6.93% 41.8 525s
32544 3768 0.78985 60 131 0.77267 0.82448 6.71% 42.1 532s
32961 3712 0.79503 70 117 0.77267 0.82381 6.62% 42.7 537s
33570 3648 0.82165 44 145 0.77267 0.82317 6.54% 43.1 542s
33964 3539 infeasible 69 0.77267 0.82276 6.48% 43.5 547s
34662 3513 0.79480 73 156 0.77267 0.82164 6.34% 43.6 551s
35191 3600 0.82077 59 128 0.77267 0.82077 6.23% 43.9 557s
35675 3706 0.80614 52 206 0.77267 0.82077 6.23% 44.2 561s
36268 3806 cutoff 52 0.77267 0.81939 6.05% 44.3 565s
36874 3907 infeasible 58 0.77267 0.81850 5.93% 44.5 570s
37939 4088 0.78367 63 115 0.77267 0.81667 5.69% 44.6 577s
38392 4143 0.79334 64 139 0.77267 0.81557 5.55% 44.8 582s
39094 4235 0.81515 49 179 0.77267 0.81515 5.50% 44.8 586s
39691 4370 cutoff 50 0.77267 0.81429 5.39% 44.8 591s
39733 4309 0.78899 69 124 0.77267 0.81368 5.31% 44.9 595s
40705 4471 0.77465 87 50 0.77267 0.81231 5.13% 45.2 600s
Cutting planes:
Learned: 3
Gomory: 207
Cover: 21
Implied bound: 54
Projected implied bound: 73
Clique: 12
MIR: 311
StrongCG: 7
Flow cover: 852
Flow path: 2
Inf proof: 225
Zero half: 1
Explored 40856 nodes (1848806 simplex iterations) in 600.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.772669 0.772669 0.772669 ... 0.772669
Time limit reached
Best objective 7.726690272605e-01, best bound 8.120821777009e-01, gap 5.1009%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2vjnxzfe.pyomo.lp
Reading time = 0.02 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmob3aoc9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2745_ by 0.999999607
Presolve removed 819 rows and 509 columns
Presolve time: 0.04s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.082048e+00, 1595 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08205 0 107 - 1.08205 - - 0s
Another try with MIP start
H 0 0 0.7669057 1.08205 41.1% - 0s
0 0 1.08115 0 167 0.76691 1.08115 41.0% - 0s
0 0 1.08115 0 165 0.76691 1.08115 41.0% - 0s
0 0 1.04645 0 218 0.76691 1.04645 36.5% - 0s
0 0 1.04620 0 215 0.76691 1.04620 36.4% - 0s
0 0 1.04322 0 231 0.76691 1.04322 36.0% - 0s
0 0 1.04066 0 232 0.76691 1.04066 35.7% - 0s
0 0 1.03971 0 234 0.76691 1.03971 35.6% - 0s
0 0 1.03880 0 232 0.76691 1.03880 35.5% - 0s
0 0 1.03690 0 238 0.76691 1.03690 35.2% - 0s
0 0 1.03690 0 238 0.76691 1.03690 35.2% - 0s
0 0 1.03689 0 237 0.76691 1.03689 35.2% - 0s
0 0 1.03674 0 239 0.76691 1.03674 35.2% - 0s
0 0 1.03606 0 242 0.76691 1.03606 35.1% - 0s
0 0 1.03585 0 243 0.76691 1.03585 35.1% - 0s
0 0 1.03567 0 243 0.76691 1.03567 35.0% - 0s
0 0 1.03567 0 243 0.76691 1.03567 35.0% - 0s
0 0 1.03566 0 240 0.76691 1.03566 35.0% - 0s
0 0 1.03565 0 240 0.76691 1.03565 35.0% - 0s
0 0 1.03565 0 183 0.76691 1.03565 35.0% - 1s
0 2 1.03565 0 180 0.76691 1.03565 35.0% - 1s
740 553 0.93407 30 173 0.76691 0.99250 29.4% 13.0 5s
1606 651 0.87242 70 121 0.76691 0.97855 27.6% 24.3 10s
4266 1539 infeasible 43 0.76691 0.93489 21.9% 22.7 15s
6639 2104 0.90969 46 137 0.76691 0.91034 18.7% 21.9 20s
8808 2138 0.88455 46 136 0.76691 0.88501 15.4% 21.0 25s
12652 3105 0.79641 117 78 0.76691 0.86828 13.2% 18.8 30s
H13282 3393 0.7669057 0.86725 13.1% 18.4 31s
15822 3988 0.84669 87 102 0.76691 0.86072 12.2% 17.3 35s
18699 4558 0.78568 98 81 0.76691 0.85183 11.1% 16.6 40s
20412 4944 0.81874 89 183 0.76691 0.84867 10.7% 16.4 63s
20420 4949 0.84069 84 261 0.76691 0.84867 10.7% 16.4 65s
20428 4955 0.81725 97 277 0.76691 0.84867 10.7% 16.3 70s
20433 4958 0.77714 145 267 0.76691 0.84867 10.7% 16.3 76s
20439 4962 0.82294 81 260 0.76691 0.84867 10.7% 16.3 81s
20444 4965 0.79245 120 271 0.76691 0.84867 10.7% 16.3 85s
20448 4968 0.78543 83 287 0.76691 0.84867 10.7% 16.3 90s
20454 4972 0.82182 63 285 0.76691 0.84867 10.7% 16.3 95s
20458 4975 0.76779 72 290 0.76691 0.84867 10.7% 16.3 101s
20462 4977 0.79200 79 285 0.76691 0.84867 10.7% 16.3 105s
20468 4981 0.79394 124 279 0.76691 0.84867 10.7% 16.3 111s
20471 4983 0.83551 95 300 0.76691 0.84867 10.7% 16.3 115s
20476 4987 0.80221 77 320 0.76691 0.84867 10.7% 16.3 120s
20481 4990 0.79920 125 302 0.76691 0.84867 10.7% 16.3 125s
20484 4992 0.77447 89 300 0.76691 0.84867 10.7% 16.3 130s
20489 4995 0.82279 90 296 0.76691 0.84867 10.7% 16.3 135s
20495 4999 0.81050 79 309 0.76691 0.84867 10.7% 16.3 140s
20500 5003 0.82513 85 300 0.76691 0.84867 10.7% 16.3 146s
20504 5005 0.78866 112 303 0.76691 0.84867 10.7% 16.3 151s
20507 5007 0.84120 92 303 0.76691 0.84867 10.7% 16.3 155s
20512 5011 0.81874 89 292 0.76691 0.84867 10.7% 16.3 160s
20517 5014 0.81888 64 305 0.76691 0.84867 10.7% 16.3 167s
20520 5016 0.84069 84 305 0.76691 0.84867 10.7% 16.3 170s
20525 5019 0.79846 77 311 0.76691 0.84867 10.7% 16.3 175s
20530 5023 0.79191 94 310 0.76691 0.84867 10.7% 16.3 180s
20533 5025 0.77714 145 293 0.76691 0.84867 10.7% 16.3 185s
20537 5027 0.82431 103 313 0.76691 0.84867 10.7% 16.3 190s
20541 5030 0.80436 73 305 0.76691 0.84867 10.7% 16.3 196s
20544 5032 0.79245 120 307 0.76691 0.84867 10.7% 16.3 200s
20548 5035 0.78543 83 309 0.76691 0.84867 10.7% 16.2 205s
20553 5038 0.83048 76 297 0.76691 0.84867 10.7% 16.2 210s
20558 5041 0.76779 72 308 0.76691 0.84867 10.7% 16.2 216s
20562 5044 0.79200 79 311 0.76691 0.84867 10.7% 16.2 220s
20567 5047 0.78209 110 312 0.76691 0.84867 10.7% 16.2 225s
20572 5051 0.77936 125 312 0.76691 0.84867 10.7% 16.2 230s
20577 5054 0.83748 72 301 0.76691 0.84867 10.7% 16.2 235s
20581 5057 0.79920 125 308 0.76691 0.84867 10.7% 16.2 240s
20585 5059 0.81308 66 301 0.76691 0.84867 10.7% 16.2 245s
20591 5063 0.78795 126 310 0.76691 0.84867 10.7% 16.2 250s
20594 5065 0.84495 93 312 0.76691 0.84867 10.7% 16.2 255s
20599 5069 0.78607 43 308 0.76691 0.84867 10.7% 16.2 260s
20604 5072 0.78866 112 310 0.76691 0.84867 10.7% 16.2 265s
20608 5075 0.80136 75 318 0.76691 0.84867 10.7% 16.2 270s
20614 5079 0.82337 92 316 0.76691 0.84867 10.7% 16.2 275s
20619 5082 0.77612 141 317 0.76691 0.84867 10.7% 16.2 280s
20624 5085 0.80952 97 312 0.76691 0.84867 10.7% 16.2 285s
20629 5089 0.78529 60 320 0.76691 0.84867 10.7% 16.2 290s
20633 5091 0.77714 145 311 0.76691 0.84867 10.7% 16.2 296s
20635 5095 0.84867 25 298 0.76691 0.84867 10.7% 19.7 309s
20637 5092 cutoff 26 0.76691 0.84867 10.7% 20.0 319s
20640 5092 0.84867 27 320 0.76691 0.84867 10.7% 20.1 320s
20643 5093 0.84867 29 309 0.76691 0.84867 10.7% 20.1 327s
20662 5096 cutoff 34 0.76691 0.84867 10.7% 20.5 330s
20696 5097 cutoff 38 0.76691 0.84860 10.7% 20.9 335s
H20699 4837 0.7669057 0.84860 10.7% 20.9 335s
20754 4806 infeasible 35 0.76691 0.84860 10.7% 21.9 340s
20864 4791 0.80302 37 280 0.76691 0.84632 10.4% 22.9 345s
20903 4793 0.78858 42 258 0.76691 0.84632 10.4% 23.1 350s
21092 4829 cutoff 50 0.76691 0.84520 10.2% 23.8 355s
21280 4807 cutoff 46 0.76691 0.84223 9.82% 25.1 360s
21502 4802 0.81248 43 252 0.76691 0.84004 9.54% 26.1 366s
21807 4781 0.82468 47 268 0.76691 0.83779 9.24% 27.1 370s
22060 4805 0.76713 55 242 0.76691 0.83715 9.16% 27.9 375s
22358 4827 0.80235 61 198 0.76691 0.83482 8.86% 28.6 381s
22575 4875 0.78970 72 190 0.76691 0.83217 8.51% 29.3 385s
22863 4878 0.82617 55 238 0.76691 0.82617 7.73% 29.8 390s
23146 4904 0.80110 64 197 0.76691 0.82197 7.18% 30.2 396s
23411 4904 infeasible 61 0.76691 0.82081 7.03% 30.5 402s
23783 4943 0.80179 67 193 0.76691 0.81928 6.83% 31.3 407s
23925 4944 cutoff 48 0.76691 0.81864 6.75% 31.8 413s
23930 4927 infeasible 54 0.76691 0.81858 6.74% 31.9 416s
24308 4900 0.81261 62 188 0.76691 0.81814 6.68% 32.6 422s
24528 4899 0.78140 41 243 0.76691 0.81747 6.59% 33.0 425s
24965 4889 0.78331 80 150 0.76691 0.81571 6.36% 33.9 431s
25681 4887 0.81280 63 193 0.76691 0.81351 6.08% 34.5 438s
26079 4878 0.79289 69 162 0.76691 0.81310 6.02% 34.7 442s
26502 4887 0.79706 64 137 0.76691 0.81254 5.95% 35.0 445s
26874 4921 0.80043 65 162 0.76691 0.81162 5.83% 35.4 453s
26959 4862 0.79666 66 164 0.76691 0.81162 5.83% 35.4 457s
27389 4843 0.79751 70 136 0.76691 0.81045 5.68% 35.8 461s
27833 4838 0.78162 80 92 0.76691 0.80834 5.40% 36.2 465s
28250 4803 cutoff 73 0.76691 0.80760 5.31% 36.4 470s
29271 4647 0.80344 70 140 0.76691 0.80441 4.89% 36.9 478s
29904 4614 0.78030 69 141 0.76691 0.80373 4.80% 36.9 485s
30270 4547 infeasible 42 0.76691 0.80269 4.67% 37.5 490s
30794 4508 0.79803 46 240 0.76691 0.80197 4.57% 37.9 495s
32065 4423 0.79272 69 118 0.76691 0.79939 4.24% 38.0 503s
32331 4333 0.78752 71 169 0.76691 0.79918 4.21% 38.4 508s
32996 4248 0.78154 63 149 0.76691 0.79802 4.06% 38.4 512s
33345 4140 0.78850 69 144 0.76691 0.79756 4.00% 38.5 516s
33752 4126 infeasible 61 0.76691 0.79657 3.87% 38.7 523s
33791 4030 0.78244 72 102 0.76691 0.79633 3.84% 38.8 526s
34433 3919 infeasible 82 0.76691 0.79535 3.71% 38.9 531s
35007 3788 infeasible 63 0.76691 0.79458 3.61% 38.9 542s
35438 3760 0.78405 79 162 0.76691 0.79379 3.50% 39.0 545s
35960 3814 0.78554 65 149 0.76691 0.79297 3.40% 39.1 550s
36848 3884 0.77061 63 168 0.76691 0.79164 3.23% 39.4 556s
37300 3888 0.79092 75 138 0.76691 0.79104 3.15% 39.4 560s
37953 4024 0.78954 72 112 0.76691 0.79017 3.03% 39.3 566s
38270 4053 infeasible 68 0.76691 0.78989 3.00% 39.7 570s
38639 4104 infeasible 67 0.76691 0.78977 2.98% 39.8 575s
39516 4123 0.78281 61 190 0.76691 0.78835 2.80% 39.9 581s
40489 4229 infeasible 71 0.76691 0.78735 2.67% 39.8 588s
40915 4265 0.78250 63 112 0.76691 0.78720 2.65% 39.9 592s
41234 4269 0.77289 62 209 0.76691 0.78684 2.60% 40.3 596s
41989 4404 cutoff 69 0.76691 0.78605 2.50% 40.6 600s
Cutting planes:
Learned: 6
Gomory: 231
Cover: 33
Implied bound: 69
Projected implied bound: 68
Clique: 27
MIR: 332
StrongCG: 6
Flow cover: 925
Flow path: 2
Inf proof: 198
Explored 42013 nodes (1708083 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.766906 0.766906 0.766906
Time limit reached
Best objective 7.669056978969e-01, best bound 7.859704409735e-01, gap 2.4859%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphqn5jsde.pyomo.lp
Reading time = 0.02 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcvxq5d_6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.75971
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.071535e+00, 1563 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07153 0 107 0.75971 1.07153 41.0% - 0s
0 0 1.06802 0 157 0.75971 1.06802 40.6% - 0s
0 0 1.06798 0 158 0.75971 1.06798 40.6% - 0s
0 0 1.05991 0 174 0.75971 1.05991 39.5% - 0s
0 0 1.05663 0 179 0.75971 1.05663 39.1% - 0s
0 0 1.05449 0 208 0.75971 1.05449 38.8% - 0s
0 0 1.05415 0 212 0.75971 1.05415 38.8% - 0s
0 0 1.05134 0 211 0.75971 1.05134 38.4% - 0s
0 0 1.05120 0 213 0.75971 1.05120 38.4% - 0s
0 0 1.04923 0 220 0.75971 1.04923 38.1% - 0s
0 0 1.04923 0 220 0.75971 1.04923 38.1% - 0s
0 0 1.04923 0 219 0.75971 1.04923 38.1% - 0s
0 0 1.04923 0 220 0.75971 1.04923 38.1% - 0s
0 0 1.04923 0 220 0.75971 1.04923 38.1% - 0s
0 0 1.04923 0 171 0.75971 1.04923 38.1% - 0s
0 2 1.04923 0 168 0.75971 1.04923 38.1% - 0s
844 527 0.94375 28 175 0.75971 0.97265 28.0% 24.2 5s
4161 1604 infeasible 42 0.75971 0.91244 20.1% 14.5 10s
7113 2317 infeasible 91 0.75971 0.88876 17.0% 14.0 15s
12245 3463 infeasible 206 0.75971 0.86231 13.5% 12.0 20s
15764 4442 0.79185 121 102 0.75971 0.84892 11.7% 11.1 25s
20519 5452 0.77844 98 79 0.75971 0.83601 10.0% 10.7 30s
21133 5689 0.80393 113 171 0.75971 0.83577 10.0% 10.6 47s
21148 5699 0.80420 116 248 0.75971 0.83577 10.0% 10.6 50s
21163 5709 0.80079 119 268 0.75971 0.83577 10.0% 10.6 55s
21178 5719 0.80963 72 274 0.75971 0.83577 10.0% 10.6 60s
21194 5730 0.79005 121 286 0.75971 0.83577 10.0% 10.6 65s
21206 5738 0.78082 141 281 0.75971 0.83577 10.0% 10.6 70s
21215 5744 0.78352 142 293 0.75971 0.83577 10.0% 10.6 75s
21229 5753 0.76705 120 307 0.75971 0.83577 10.0% 10.6 80s
21237 5758 0.78949 158 301 0.75971 0.83577 10.0% 10.6 85s
21238 5760 0.83577 24 290 0.75971 0.83577 10.0% 10.9 90s
21258 5765 0.83577 28 277 0.75971 0.83577 10.0% 10.9 95s
H21369 5483 0.7597101 0.83577 10.0% 11.2 99s
21480 5504 0.83577 41 218 0.75971 0.83577 10.0% 11.3 100s
*21992 5306 206 0.7597102 0.83577 10.0% 11.9 103s
22013 5318 0.83577 36 230 0.75971 0.83577 10.0% 11.9 105s
22669 5389 0.83577 37 202 0.75971 0.83577 10.0% 12.6 110s
23216 5356 cutoff 52 0.75971 0.83577 10.0% 13.6 115s
24158 5290 cutoff 43 0.75971 0.83577 10.0% 14.5 120s
25264 5254 infeasible 43 0.75971 0.83577 10.0% 15.0 125s
26335 5044 0.82556 61 165 0.75971 0.83577 10.0% 15.2 130s
27062 4892 infeasible 65 0.75971 0.83577 10.0% 15.1 135s
29580 5034 0.78166 90 124 0.75971 0.83577 10.0% 14.7 140s
32274 5172 0.80747 79 136 0.75971 0.83577 10.0% 14.4 145s
34265 5288 0.78359 76 81 0.75971 0.83577 10.0% 14.4 150s
H35499 5087 0.7597102 0.83464 9.86% 14.3 153s
35835 5088 infeasible 71 0.75971 0.83328 9.68% 14.3 155s
37967 5646 0.80248 81 144 0.75971 0.82998 9.25% 14.4 160s
39865 6109 infeasible 101 0.75971 0.82746 8.92% 14.5 165s
41332 6391 0.77301 95 83 0.75971 0.82477 8.56% 14.6 170s
42789 6621 infeasible 73 0.75971 0.82240 8.25% 14.8 175s
44675 6945 0.77776 70 120 0.75971 0.81999 7.94% 14.8 180s
46778 7335 0.79107 75 93 0.75971 0.81718 7.57% 14.9 185s
49035 7616 0.78260 69 127 0.75971 0.81418 7.17% 15.0 190s
51038 7894 infeasible 72 0.75971 0.81179 6.85% 15.1 195s
53204 8231 infeasible 71 0.75971 0.80879 6.46% 15.2 200s
55101 8537 0.80139 72 113 0.75971 0.80634 6.14% 15.2 205s
57568 8905 0.76187 100 55 0.75971 0.80412 5.85% 15.2 210s
59950 9372 0.77925 77 98 0.75971 0.80215 5.59% 15.1 215s
62413 9682 infeasible 71 0.75971 0.79990 5.29% 15.1 220s
64037 9891 0.77007 54 169 0.75971 0.79858 5.12% 15.1 225s
65314 9921 0.77715 80 93 0.75971 0.79726 4.94% 15.1 230s
67094 9979 cutoff 78 0.75971 0.79529 4.68% 15.1 235s
68905 10080 0.79109 57 183 0.75971 0.79324 4.41% 15.1 240s
70800 10132 infeasible 76 0.75971 0.79154 4.19% 15.1 245s
73138 10282 0.77191 62 172 0.75971 0.78955 3.93% 15.1 250s
75506 10358 0.76819 105 83 0.75971 0.78771 3.68% 15.1 255s
76657 10356 infeasible 106 0.75971 0.78688 3.58% 15.1 260s
78942 10416 0.77828 88 84 0.75971 0.78538 3.38% 15.1 265s
80839 10439 0.78319 80 79 0.75971 0.78431 3.24% 15.0 270s
83168 10456 0.78300 116 64 0.75971 0.78300 3.07% 15.0 275s
85379 10384 0.76278 88 58 0.75971 0.78153 2.87% 15.0 280s
87682 10362 infeasible 78 0.75971 0.78038 2.72% 15.0 285s
89874 10258 0.76843 73 106 0.75971 0.77922 2.57% 14.9 290s
91864 10057 0.76522 91 85 0.75971 0.77813 2.42% 14.9 295s
94237 9834 infeasible 77 0.75971 0.77704 2.28% 14.9 300s
96512 9579 infeasible 95 0.75971 0.77604 2.15% 14.8 305s
98512 9392 0.77276 84 108 0.75971 0.77525 2.05% 14.8 310s
100991 9185 infeasible 84 0.75971 0.77432 1.92% 14.7 315s
103334 8914 0.77340 79 92 0.75971 0.77340 1.80% 14.7 320s
*104060 8842 183 0.7597102 0.77312 1.77% 14.6 321s
104397 8826 infeasible 90 0.75971 0.77300 1.75% 14.6 325s
106956 8323 0.77133 82 88 0.75971 0.77199 1.62% 14.6 330s
109471 7936 infeasible 80 0.75971 0.77108 1.50% 14.5 335s
111638 7536 infeasible 76 0.75971 0.77035 1.40% 14.5 340s
114270 7013 0.76884 91 57 0.75971 0.76942 1.28% 14.4 345s
116712 6418 0.76854 92 102 0.75971 0.76857 1.17% 14.4 350s
119047 5868 0.76555 93 63 0.75971 0.76777 1.06% 14.3 356s
Cutting planes:
Learned: 2
Gomory: 141
Cover: 2
Implied bound: 35
Projected implied bound: 53
Clique: 5
MIR: 33
Flow cover: 82
Flow path: 1
Inf proof: 1
Explored 120528 nodes (1720672 simplex iterations) in 359.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.75971 0.75971 0.75971 ... 0.75971
Optimal solution found (tolerance 1.00e-02)
Best objective 7.597101377662e-01, best bound 7.672391292640e-01, gap 0.9910%
Run 9
Seed for training 1751
Seed for simulation 1351
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00164853, -0.00121602, -0.00180517]])
fopt: 0.28483875745005366
fun: -0.2855092468215924
message: 'Optimization terminated successfully.'
nfev: 529
nit: 6
status: 0
success: True
x: array([386.20928323, 5.00002026, 7.0378316 ])
xopt: array([386., 5., 7.])
zopt: array([386., 391., 398.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp006mdcud.pyomo.lp
Reading time = 0.02 seconds
x2233: 2767 rows, 1990 columns, 10555 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdrtsfvsm.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 10555 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [2e-04, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.284839
Presolve removed 845 rows and 525 columns
Presolve time: 0.05s
Presolved: 1922 rows, 1465 columns, 7137 nonzeros
Variable types: 813 continuous, 652 integer (647 binary)
Root relaxation: objective 1.028813e+00, 1551 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02881 0 136 0.28484 1.02881 261% - 0s
0 0 1.01862 0 154 0.28484 1.01862 258% - 0s
0 0 1.01851 0 155 0.28484 1.01851 258% - 0s
0 0 0.98284 0 168 0.28484 0.98284 245% - 0s
0 0 0.98221 0 176 0.28484 0.98221 245% - 0s
0 0 0.97568 0 199 0.28484 0.97568 243% - 0s
0 0 0.97512 0 177 0.28484 0.97512 242% - 0s
0 0 0.97219 0 192 0.28484 0.97219 241% - 0s
0 0 0.97219 0 192 0.28484 0.97219 241% - 0s
0 0 0.97168 0 204 0.28484 0.97168 241% - 0s
0 0 0.97157 0 201 0.28484 0.97157 241% - 0s
0 0 0.97140 0 208 0.28484 0.97140 241% - 0s
0 0 0.97138 0 204 0.28484 0.97138 241% - 0s
0 0 0.97134 0 208 0.28484 0.97134 241% - 0s
0 0 0.97134 0 209 0.28484 0.97134 241% - 0s
0 0 0.97087 0 204 0.28484 0.97087 241% - 0s
0 0 0.97014 0 203 0.28484 0.97014 241% - 0s
0 0 0.96887 0 209 0.28484 0.96887 240% - 0s
0 0 0.96886 0 211 0.28484 0.96886 240% - 0s
0 0 0.96886 0 211 0.28484 0.96886 240% - 0s
0 0 0.96886 0 170 0.28484 0.96886 240% - 1s
0 2 0.96886 0 169 0.28484 0.96886 240% - 1s
752 547 0.75529 30 191 0.28484 0.94387 231% 18.2 5s
1370 704 0.70540 111 142 0.28484 0.94375 231% 27.2 10s
2598 952 0.84701 36 192 0.28484 0.90103 216% 30.2 15s
4605 1777 infeasible 27 0.28484 0.86905 205% 29.1 20s
7043 2544 0.60121 44 151 0.28484 0.82638 190% 26.2 25s
* 7698 2606 174 0.3022663 0.81694 170% 25.0 26s
* 9513 2995 172 0.3691931 0.79919 116% 23.0 29s
9696 3068 0.69050 38 173 0.36919 0.79467 115% 22.8 30s
*10146 2968 166 0.4300839 0.79449 84.7% 22.3 30s
12825 3817 0.70701 48 165 0.43008 0.77278 79.7% 20.3 35s
H14762 3084 0.5940534 0.76499 28.8% 19.0 39s
H15275 3308 0.5951904 0.76279 28.2% 18.7 39s
15425 3298 0.64639 73 102 0.59519 0.76246 28.1% 18.7 40s
*17709 3954 161 0.5968317 0.75373 26.3% 17.8 43s
19463 4806 cutoff 63 0.59683 0.75046 25.7% 17.3 45s
H20858 5126 0.5993607 0.74708 24.6% 17.1 70s
20869 5132 0.69994 54 240 0.59936 0.74708 24.6% 17.1 75s
20878 5138 0.61587 147 231 0.59936 0.74708 24.6% 17.1 81s
20885 5142 0.71495 47 239 0.59936 0.74708 24.6% 17.0 85s
20894 5148 0.62793 85 251 0.59936 0.74708 24.6% 17.0 91s
20902 5154 0.71961 80 258 0.59936 0.74708 24.6% 17.0 95s
20906 5156 0.62680 60 247 0.59936 0.74708 24.6% 17.0 101s
20913 5161 0.67936 64 258 0.59936 0.74708 24.6% 17.0 105s
20916 5163 0.63350 100 257 0.59936 0.74708 24.6% 17.0 110s
20924 5168 0.72376 61 263 0.59936 0.74214 23.8% 17.0 116s
20930 5172 0.61172 74 253 0.59936 0.74048 23.5% 17.0 121s
20934 5175 0.70628 64 264 0.59936 0.74007 23.5% 17.0 125s
20937 5177 0.73665 49 262 0.59936 0.73941 23.4% 17.0 130s
20944 5182 0.70628 64 264 0.59936 0.73823 23.2% 17.0 135s
20948 5184 0.64244 77 268 0.59936 0.73792 23.1% 17.0 141s
20952 5187 0.71043 53 271 0.59936 0.73682 22.9% 17.0 145s
20955 5189 0.69167 65 268 0.59936 0.73649 22.9% 17.0 150s
20959 5192 0.63614 56 279 0.59936 0.73613 22.8% 17.0 157s
20962 5194 0.64132 70 281 0.59936 0.73562 22.7% 17.0 160s
20966 5196 0.71700 100 285 0.59936 0.73453 22.6% 17.0 166s
20970 5199 0.60412 78 288 0.59936 0.73386 22.4% 17.0 171s
20972 5200 0.73293 46 271 0.59936 0.73293 22.3% 17.0 175s
20977 5204 0.67222 73 285 0.59936 0.73205 22.1% 17.0 180s
20983 5208 0.70127 41 273 0.59936 0.72919 21.7% 17.0 186s
20988 5211 0.60977 36 279 0.59936 0.72793 21.5% 17.0 190s
20992 5214 0.65865 40 287 0.59936 0.72739 21.4% 17.0 195s
20997 5217 0.72670 47 285 0.59936 0.72670 21.2% 17.0 201s
20999 5218 0.72649 61 297 0.59936 0.72649 21.2% 17.0 205s
21005 5222 0.64699 63 271 0.59936 0.72454 20.9% 16.9 211s
21010 5226 0.72349 62 275 0.59936 0.72349 20.7% 16.9 215s
21016 5230 0.63350 100 285 0.59936 0.72144 20.4% 16.9 220s
21019 5232 0.65561 88 282 0.59936 0.72095 20.3% 16.9 227s
21024 5235 0.72023 61 289 0.59936 0.72023 20.2% 16.9 231s
21027 5237 0.66386 70 285 0.59936 0.71959 20.1% 16.9 235s
21031 5240 0.71935 54 285 0.59936 0.71935 20.0% 16.9 242s
21033 5241 0.70655 83 285 0.59936 0.71904 20.0% 16.9 246s
21036 5243 0.67865 66 285 0.59936 0.71886 19.9% 16.9 250s
21039 5245 0.71849 45 293 0.59936 0.71849 19.9% 16.9 255s
21043 5248 0.67633 57 298 0.59936 0.71827 19.8% 16.9 260s
21049 5252 0.61282 117 299 0.59936 0.71770 19.7% 16.9 265s
21052 5254 0.71043 53 294 0.59936 0.71760 19.7% 16.9 270s
21057 5257 0.71609 58 305 0.59936 0.71728 19.7% 16.9 275s
21060 5259 0.71707 61 302 0.59936 0.71707 19.6% 16.9 281s
21064 5262 0.71684 45 295 0.59936 0.71684 19.6% 16.9 287s
21066 5263 0.71665 100 293 0.59936 0.71665 19.6% 16.9 290s
21072 5267 0.71585 46 304 0.59936 0.71585 19.4% 16.9 295s
21076 5270 0.70438 66 299 0.59936 0.71550 19.4% 16.9 300s
21080 5272 0.71518 60 304 0.59936 0.71518 19.3% 16.9 305s
21085 5276 0.71495 47 304 0.59936 0.71503 19.3% 16.9 310s
H21085 5008 0.5993607 0.71499 19.3% 16.9 313s
21088 5010 0.60977 36 307 0.59936 0.71491 19.3% 16.9 316s
21092 5012 0.65865 40 311 0.59936 0.71485 19.3% 16.9 320s
21098 5016 0.71406 64 309 0.59936 0.71406 19.1% 16.9 325s
21103 5020 0.64132 70 316 0.59936 0.71371 19.1% 16.9 331s
21107 5022 0.70376 70 312 0.59936 0.71361 19.1% 16.9 336s
21113 5026 0.67936 64 308 0.59936 0.71185 18.8% 16.9 342s
21116 5028 0.63350 100 300 0.59936 0.71110 18.6% 16.9 345s
H21116 4772 0.6073311 0.71089 17.1% 16.9 347s
21120 4775 0.69487 40 307 0.60733 0.71026 16.9% 16.9 350s
21123 4777 0.68583 63 303 0.60733 0.70970 16.9% 16.9 355s
21128 4780 0.70873 28 296 0.60733 0.70873 16.7% 16.9 360s
21133 4784 0.70655 83 304 0.60733 0.70787 16.6% 16.8 365s
21134 4785 0.69346 29 257 0.60733 0.70696 16.4% 20.1 372s
21136 4786 0.68294 30 246 0.60733 0.70327 15.8% 20.1 378s
21138 4784 infeasible 31 0.60733 0.69896 15.1% 20.1 380s
H21161 4546 0.6094451 0.69607 14.2% 20.3 383s
H21163 4316 0.6123268 0.69607 13.7% 20.3 383s
21201 4311 0.64086 43 228 0.61233 0.69607 13.7% 20.6 385s
H21221 4092 0.6125200 0.69607 13.6% 20.7 386s
21384 4074 infeasible 36 0.61252 0.69525 13.5% 21.2 390s
H21505 3860 0.6125200 0.69260 13.1% 21.7 394s
21508 3860 cutoff 65 0.61252 0.69260 13.1% 21.8 395s
21651 3850 0.69146 41 252 0.61252 0.69251 13.1% 22.2 401s
21700 3865 0.68448 44 231 0.61252 0.69088 12.8% 22.9 407s
21813 3907 infeasible 48 0.61252 0.69088 12.8% 23.7 411s
21953 3928 infeasible 39 0.61252 0.68917 12.5% 24.6 417s
22036 3925 0.68494 43 206 0.61252 0.68876 12.4% 25.7 422s
22111 3924 0.67542 47 172 0.61252 0.68876 12.4% 26.4 426s
22176 3931 0.62054 76 105 0.61252 0.68876 12.4% 27.4 430s
22208 3924 0.68076 43 203 0.61252 0.68876 12.4% 29.1 437s
22262 3939 0.66088 42 200 0.61252 0.68876 12.4% 30.1 440s
22367 3937 infeasible 46 0.61252 0.68876 12.4% 32.1 445s
22411 3925 infeasible 48 0.61252 0.68876 12.4% 34.6 451s
22433 3928 infeasible 50 0.61252 0.68876 12.4% 37.2 458s
22442 3926 postponed 52 0.61252 0.68876 12.4% 39.0 460s
22455 3926 infeasible 53 0.61252 0.68876 12.4% 41.4 466s
22471 3920 infeasible 55 0.61252 0.68876 12.4% 44.8 471s
22480 3914 postponed 55 0.61252 0.68876 12.4% 47.6 479s
H22490 3709 0.6127008 0.68876 12.4% 48.3 479s
22491 3712 postponed 56 0.61270 0.68876 12.4% 48.7 482s
22497 3712 postponed 56 0.61270 0.68876 12.4% 49.7 485s
H22520 3519 0.6128688 0.68876 12.4% 51.7 488s
22521 3512 infeasible 57 0.61287 0.68876 12.4% 51.8 491s
22553 3520 postponed 56 0.61287 0.68876 12.4% 53.7 495s
22564 3509 infeasible 58 0.61287 0.68876 12.4% 56.8 506s
22578 3508 postponed 58 0.61287 0.68876 12.4% 58.6 510s
H22602 3320 0.6131798 0.68876 12.3% 58.5 510s
22690 3324 infeasible 59 0.61318 0.68876 12.3% 60.8 518s
22707 3323 postponed 60 0.61318 0.68876 12.3% 63.1 523s
22713 3324 postponed 61 0.61318 0.68876 12.3% 65.2 527s
22719 3317 postponed 62 0.61318 0.68876 12.3% 67.0 532s
22731 3312 postponed 63 0.61318 0.68876 12.3% 68.7 536s
22738 3317 postponed 61 0.61318 0.68876 12.3% 70.4 540s
22748 3318 postponed 64 0.61318 0.68876 12.3% 73.7 547s
22753 3321 postponed 63 0.61318 0.68876 12.3% 75.3 552s
22760 3321 infeasible 65 0.61318 0.68876 12.3% 77.5 557s
22768 3320 infeasible 64 0.61318 0.68876 12.3% 79.6 562s
22781 3318 postponed 68 0.61318 0.68876 12.3% 82.6 567s
22795 3318 infeasible 69 0.61318 0.68876 12.3% 85.2 573s
22808 3313 infeasible 71 0.61318 0.68876 12.3% 88.2 579s
22821 3313 postponed 63 0.61318 0.68876 12.3% 91.4 584s
22833 3309 infeasible 64 0.61318 0.68876 12.3% 93.9 589s
22845 3303 infeasible 65 0.61318 0.68876 12.3% 96.5 594s
22864 3298 postponed 67 0.61318 0.68876 12.3% 100 599s
22880 3289 infeasible 69 0.61318 0.68876 12.3% 102 600s
Cutting planes:
Learned: 1
Gomory: 173
Cover: 9
Implied bound: 23
Projected implied bound: 38
Clique: 10
MIR: 144
StrongCG: 1
Flow cover: 479
Flow path: 3
Inf proof: 26
Zero half: 1
Explored 22883 nodes (2342067 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.61318 0.612869 0.612701 ... 0.599361
Time limit reached
Best objective 6.131798383191e-01, best bound 6.887616615386e-01, gap 12.3262%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq7nois3p.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 4268 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa_380l7o.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 4268 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 749 rows and 558 columns
Presolve time: 0.00s
Presolved: 512 rows, 523 columns, 2212 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 3.6301527e+02 1.070123e+04 0.000000e+00 0s
364 1.1791282e+01 0.000000e+00 0.000000e+00 0s
Solved in 364 iterations and 0.01 seconds
Optimal objective 1.179128169e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.00974116, 0.00149752, 0.00149752]])
fopt: 1.084625924166922
fun: -1.0904363079500337
message: 'Optimization terminated successfully.'
nfev: 161
nit: 2
status: 0
success: True
x: array([14.00000021, -0.99998089, -0.99998089])
xopt: array([14., 0., 0.])
zopt: array([14., 14., 14.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.28646304e-03, 2.03121850e-04, 1.72580908e-03]])
fopt: 1.8227522468613895
fun: -1.8438584109557157
message: 'Optimization terminated successfully.'
nfev: 146
nit: 2
status: 0
success: True
x: array([ 33.35573496, -0.99986463, -14.99085628])
xopt: array([33., 0., 0.])
zopt: array([33., 33., 33.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.48732926e-03, -2.78982691e-03, -5.10609610e-05]])
fopt: 1.5708339551092392
fun: -1.5818443087574976
message: 'Optimization terminated successfully.'
nfev: 121
nit: 2
status: 0
success: True
x: array([ 48.97528902, -87.99865008, -0.76369894])
xopt: array([49., 0., 0.])
zopt: array([49., 49., 49.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.28533207e-03, 1.04708876e-04, -0.00000000e+00]])
fopt: 1.2564589651143532
fun: -1.267531780345143
message: 'Optimization terminated successfully.'
nfev: 276
nit: 3
status: 0
success: True
x: array([63.07798382, -0.97875532, 2. ])
xopt: array([63., 0., 2.])
zopt: array([63., 63., 65.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 1.001836030757056
fun: -1.0074715655670607
message: 'Optimization terminated successfully.'
nfev: 226
nit: 2
status: 0
success: True
x: array([62.95141145, -0.97871376, 1.00118624])
xopt: array([63., 0., 1.])
zopt: array([63., 63., 64.])
*******************************************
Period: 6
direc: array([[0. , 0. , 1. ],
[0. , 0. , 0. ],
[0. , 2.21370733, 0. ]])
fopt: 0.7951944531788993
fun: -0.8010601142402147
message: 'Optimization terminated successfully.'
nfev: 343
nit: 3
status: 0
success: True
x: array([63.2125597 , 5.03797869, 1. ])
xopt: array([63., 6., 1.])
zopt: array([63., 69., 70.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-5.39433512e-05, -9.21517738e-07, -0.00000000e+00],
[-2.69716756e-04, 1.99999539e+00, 0.00000000e+00]])
fopt: 0.4786948412047469
fun: -0.4855087679785489
message: 'Optimization terminated successfully.'
nfev: 429
nit: 4
status: 0
success: True
x: array([63.02614198, 7.05959653, 1. ])
xopt: array([63., 8., 1.])
zopt: array([63., 71., 72.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.21901302e-02, -7.13533687e-04, -0.00000000e+00]])
fopt: 0.2946966252595866
fun: -0.2998777365953049
message: 'Optimization terminated successfully.'
nfev: 536
nit: 4
status: 0
success: True
x: array([63.23494643, 3.00025442, 1. ])
xopt: array([63., 4., 1.])
zopt: array([63., 67., 68.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00],
[ 2.02714838e-13, 1.42509226e+01, -4.63151357e-03],
[ 2.28644976e-06, -8.29391078e-06, 3.49863606e-09]])
fopt: 0.676469991028214
fun: -0.6776933820067219
message: 'Optimization terminated successfully.'
nfev: 890
nit: 10
status: 0
success: True
x: array([62.66414451, 96.01549413, -0.17205225])
xopt: array([63., 96., 0.])
zopt: array([ 63., 159., 159.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.06767736e+02, 1.70874280e+00, 3.43457178e-02],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4623017971056495
fun: -0.4643341037919905
message: 'Optimization terminated successfully.'
nfev: 334
nit: 4
status: 0
success: True
x: array([168.8621922 , 7.04599893, -0.63824308])
xopt: array([168., 8., 0.])
zopt: array([168., 176., 176.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[100.43303834, 3.12461189, 22.29815972]])
fopt: 0.5050630313905942
fun: -0.5038157639373283
message: 'Optimization terminated successfully.'
nfev: 472
nit: 6
status: 0
success: True
x: array([205.8939143 , 8.09714124, 15.35654591])
xopt: array([205., 9., 15.])
zopt: array([205., 214., 229.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[158.17922424, 2.53374689, 12.87863062]])
fopt: 0.4764112690231598
fun: -0.47351403091346944
message: 'Optimization terminated successfully.'
nfev: 314
nit: 4
status: 0
success: True
x: array([221.60071904, 4.46774403, 19.01242407])
xopt: array([221., 4., 19.])
zopt: array([221., 225., 244.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3902999121846058
fun: -0.39524223390528423
message: 'Optimization terminated successfully.'
nfev: 476
nit: 5
status: 0
success: True
x: array([2.62000000e+02, 3.66300685e-02, 1.00005895e+00])
xopt: array([262., 0., 1.])
zopt: array([262., 262., 263.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3566258063652245
fun: -0.35978451377873993
message: 'Optimization terminated successfully.'
nfev: 212
nit: 2
status: 0
success: True
x: array([ 2.62039932e+02, -3.99685154e-02, 1.00000000e+00])
xopt: array([262., 0., 1.])
zopt: array([262., 262., 263.])
*******************************************
Period: 15
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.28653111104136003
fun: -0.2847461636880472
message: 'Optimization terminated successfully.'
nfev: 284
nit: 3
status: 0
success: True
x: array([288.68482053, 1.00000254, 1.10486965])
xopt: array([288., 1., 2.])
zopt: array([288., 289., 291.])
*******************************************
Period: 16
direc: array([[-1.05575993e-05, 5.41473732e-06, 5.01579274e-06],
[ 2.22560655e-03, -2.73757612e-04, -6.57443171e-03],
[-2.03325556e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.33764616165055583
fun: -0.3353148742565816
message: 'Optimization terminated successfully.'
nfev: 848
nit: 9
status: 0
success: True
x: array([257.00723259, 5.08563529, 29.02390565])
xopt: array([257., 6., 30.])
zopt: array([257., 263., 293.])
*******************************************
Period: 17
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.18501306247690963
fun: -0.18404560422277944
message: 'Optimization terminated successfully.'
nfev: 220
nit: 3
status: 0
success: True
x: array([331.99985968, 2.00064125, 2.00975544])
xopt: array([331., 2., 3.])
zopt: array([331., 333., 336.])
*******************************************
Period: 18
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.13575875592073844
fun: -0.13453402860844305
message: 'Optimization terminated successfully.'
nfev: 250
nit: 3
status: 0
success: True
x: array([350.9994068 , 2.36373582, 2. ])
xopt: array([350., 3., 2.])
zopt: array([350., 353., 355.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-235.29548415, 69.97966289, 106.99053619]])
fopt: 0.8145519237141865
fun: -0.8146985043856141
message: 'Optimization terminated successfully.'
nfev: 400
nit: 6
status: 0
success: True
x: array([108.00011069, 75.00266215, 188.00468515])
xopt: array([108., 75., 188.])
zopt: array([108., 183., 371.])
*******************************************
Period: 20
direc: array([[ 0.01078313, 1. , 1.06399955],
[ 0. , 1. , 0. ],
[-0.62605695, 0.09636339, 0.17331577]])
fopt: 0.2205359975668924
fun: -0.22063511881386375
message: 'Optimization terminated successfully.'
nfev: 602
nit: 7
status: 0
success: True
x: array([162.00658106, 52.01529563, 55.53238705])
xopt: array([162., 52., 56.])
zopt: array([162., 214., 270.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.37421561e+02, 1.96086560e+02, 1.96086560e+02],
[-1.82782121e-05, -2.74823761e-02, 5.05938348e-03]])
fopt: 0.722524064950436
fun: -0.7192456060137011
message: 'Optimization terminated successfully.'
nfev: 385
nit: 6
status: 0
success: True
x: array([ 78.02219598, 103.00000201, 228.0000165 ])
xopt: array([ 79., 104., 228.])
zopt: array([ 79., 183., 411.])
*******************************************
Period: 22
direc: array([[-237.37595012, 119.23378367, 66.08788647],
[ 0. , 1. , 0. ],
[ -0. , 0. , 0. ]])
fopt: 0.6066363265319732
fun: -0.6082824060221542
message: 'Optimization terminated successfully.'
nfev: 590
nit: 8
status: 0
success: True
x: array([ 79.32566969, 194.00062024, 147.00719453])
xopt: array([ 79., 194., 147.])
zopt: array([ 79., 273., 420.])
*******************************************
Period: 23
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-8.2793251 , 8.0036642 , 5.33577614]])
fopt: 0.6411388429965866
fun: -0.6400109392184716
message: 'Optimization terminated successfully.'
nfev: 478
nit: 8
status: 0
success: True
x: array([ 64.99999707, 185. , 153.56881102])
xopt: array([ 65., 185., 153.])
zopt: array([ 65., 250., 403.])
*******************************************
Period: 24
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-8.48076779, 8.19839984, 5.46559989]])
fopt: 0.6510627492203104
fun: -0.6498385855370549
message: 'Optimization terminated successfully.'
nfev: 507
nit: 8
status: 0
success: True
x: array([ 65.00000597, 186. , 158.0000015 ])
xopt: array([ 65., 186., 159.])
zopt: array([ 65., 251., 410.])
*******************************************
Period: 25
direc: array([[-35.1068392 , 14.1735066 , 18.74879479],
[ 0. , 1. , 0. ],
[ 8.8687054 , 11.96007467, 21.33131472]])
fopt: 0.709636535276713
fun: -0.7075727695158682
message: 'Optimization terminated successfully.'
nfev: 404
nit: 6
status: 0
success: True
x: array([ 68.77654629, 147. , 203.08029193])
xopt: array([ 68., 147., 204.])
zopt: array([ 68., 215., 419.])
*******************************************
Period: 26
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-288.53932371, 87.65407037, 175.18270653]])
fopt: 0.7003596982814807
fun: -0.6987541994703168
message: 'Optimization terminated successfully.'
nfev: 317
nit: 4
status: 0
success: True
x: array([107.78641066, 88.00028341, 180.18755236])
xopt: array([108., 88., 181.])
zopt: array([108., 196., 377.])
*******************************************
Period: 27
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-284.51575697, 103.06539121, 207.41643875]])
fopt: 0.7289934550137055
fun: -0.7283194517306574
message: 'Optimization terminated successfully.'
nfev: 485
nit: 6
status: 0
success: True
x: array([ 98.00000005, 100.00001381, 212.39337129])
xopt: array([ 98., 100., 212.])
zopt: array([ 98., 198., 410.])
*******************************************
Period: 28
direc: array([[ 8.55786538, 0.97774331, 1.58233463],
[ 0. , 1. , 0. ],
[-30.92367724, 23.18230666, 39.7435075 ]])
fopt: 0.7142584974584657
fun: -0.7139446753637286
message: 'Optimization terminated successfully.'
nfev: 650
nit: 9
status: 0
success: True
x: array([ 95.00690613, 111.00001516, 202.02542318])
xopt: array([ 96., 111., 202.])
zopt: array([ 96., 207., 409.])
*******************************************
Period: 29
direc: array([[-64.56370453, 21.97709472, 17.86948782],
[ 0. , 1. , 0. ],
[ 3.05730458, 40.22352501, 31.28593917]])
fopt: 0.661203898952118
fun: -0.6599553067314461
message: 'Optimization terminated successfully.'
nfev: 597
nit: 10
status: 0
success: True
x: array([ 68.01947578, 174. , 143.5596435 ])
xopt: array([ 68., 174., 144.])
zopt: array([ 68., 242., 386.])
*******************************************
Period: 30
direc: array([[-1.50038117e+01, 1.58477753e+01, 2.25761607e+01],
[-8.63263744e+00, -3.35696623e-04, 7.01403494e+00],
[-4.10203294e-13, 5.43717507e-15, -7.85878676e-09]])
fopt: 0.7102252452496731
fun: -0.7070243623703809
message: 'Optimization terminated successfully.'
nfev: 675
nit: 9
status: 0
success: True
x: array([133.24299643, 39.04818893, 218. ])
xopt: array([134., 40., 218.])
zopt: array([134., 174., 392.])
*******************************************
Period: 31
direc: array([[-2.47213604e+00, 2.32616700e-03, 2.00000003e+00],
[ 3.86555427e-01, 9.18457469e+00, 5.70112441e+01],
[ 8.27789713e-03, 9.99987388e-01, -6.72705643e-03]])
fopt: 0.7143742613684801
fun: -0.7138134040114338
message: 'Optimization terminated successfully.'
nfev: 675
nit: 8
status: 0
success: True
x: array([176.76726718, 12.00084671, 218.00071262])
xopt: array([177., 13., 218.])
zopt: array([177., 190., 408.])
*******************************************
Period: 32
direc: array([[-1.95671761, 0.00328287, 2.76745189],
[ 0. , 1. , 0. ],
[ 0. , 0. , -0.06900687]])
fopt: 0.6986803530293226
fun: -0.6995494933548008
message: 'Optimization terminated successfully.'
nfev: 536
nit: 6
status: 0
success: True
x: array([190.5650644 , 2.01139142, 218.00023063])
xopt: array([190., 2., 218.])
zopt: array([190., 192., 410.])
*******************************************
Period: 33
direc: array([[-5.01241165e+00, 5.74795820e-03, 5.12183992e+00],
[ 1.94332849e-17, -3.87612204e-07, -7.59072474e-07],
[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.6742240118361248
fun: -0.6729912335545689
message: 'Optimization terminated successfully.'
nfev: 631
nit: 8
status: 0
success: True
x: array([170.86697564, 7.24464869, 206.0063637 ])
xopt: array([171., 8., 207.])
zopt: array([171., 179., 386.])
*******************************************
Period: 34
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.89415677e-02, 6.87084025e-07, 7.12382710e-02]])
fopt: 0.2737460634241319
fun: -0.274352283911405
message: 'Optimization terminated successfully.'
nfev: 385
nit: 4
status: 0
success: True
x: array([365.996079 , 2.00001033, 3.07123827])
xopt: array([365., 2., 4.])
zopt: array([365., 367., 371.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 1. ],
[-2.7114762 , 0. , 2.02622834],
[ 0.78422123, 41.02265212, 39.71875801]])
fopt: 0.6561887129315483
fun: -0.6546010188939392
message: 'Optimization terminated successfully.'
nfev: 492
nit: 6
status: 0
success: True
x: array([168.32938913, 45.03799215, 196.00127827])
xopt: array([168., 46., 196.])
zopt: array([168., 214., 410.])
*******************************************
Period: 36
direc: array([[ 0.01061844, -0.0084551 , -0.00946255],
[ 0. , 1. , 0. ],
[-4.13776735, 7. , 0. ]])
fopt: 0.27546347643124364
fun: -0.2762943839200973
message: 'Optimization terminated successfully.'
nfev: 680
nit: 8
status: 0
success: True
x: array([353.57142833, 23.00033231, 3.11952466])
xopt: array([353., 23., 4.])
zopt: array([353., 376., 380.])
*******************************************
Period: 37
direc: array([[-12.42160134, 9.05087371, 6.03391581],
[ 0. , 1. , 0. ],
[ -0.72899955, -0.60989893, -0.82527825]])
fopt: 0.647862267641313
fun: -0.6467154348640799
message: 'Optimization terminated successfully.'
nfev: 409
nit: 7
status: 0
success: True
x: array([ 70.95565737, 206.00028675, 133.7257438 ])
xopt: array([ 71., 206., 133.])
zopt: array([ 71., 277., 410.])
*******************************************
Period: 38
direc: array([[-2.94367836e+02, 1.47705818e+02, 1.47705818e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.17870508e-04, 8.45984856e+00, 1.69952972e+01]])
fopt: 0.6915600737781179
fun: -0.691208724338172
message: 'Optimization terminated successfully.'
nfev: 514
nit: 7
status: 0
success: True
x: array([ 66.05831581, 164.00005238, 175. ])
xopt: array([ 67., 164., 175.])
zopt: array([ 67., 231., 406.])
*******************************************
Period: 39
direc: array([[ -1.03444184, 1. , 1. ],
[ 0. , 1. , 0. ],
[-182.99205 , 69.80367151, 117.50188091]])
fopt: 0.7094694349601249
fun: -0.7093860929170992
message: 'Optimization terminated successfully.'
nfev: 664
nit: 10
status: 0
success: True
x: array([ 71.04273969, 146. , 194.00401748])
xopt: array([ 71., 146., 194.])
zopt: array([ 71., 217., 411.])
*******************************************
Period: 40
direc: array([[-2.79344589e+02, 1.33205101e+02, 1.33205101e+02],
[ 0.00000000e+00, 9.80100000e-01, 9.80100000e-01],
[-2.25039559e-09, -7.07219598e-05, -3.40115672e-05]])
fopt: 0.6115117373687013
fun: -0.6102682277984836
message: 'Optimization terminated successfully.'
nfev: 541
nit: 8
status: 0
success: True
x: array([ 69.96732129, 148.03289349, 148.00003788])
xopt: array([ 70., 149., 149.])
zopt: array([ 70., 219., 368.])
*******************************************
Period: 41
direc: array([[-285.46812044, 131.10152139, 131.10152139],
[ 0. , 1. , 0. ],
[ 32.97623487, 2.93515725, 21.14688788]])
fopt: 0.6894487194802322
fun: -0.6884943636284053
message: 'Optimization terminated successfully.'
nfev: 554
nit: 8
status: 0
success: True
x: array([ 67.28181228, 160. , 180.34396271])
xopt: array([ 68., 160., 180.])
zopt: array([ 68., 228., 408.])
*******************************************
Period: 42
direc: array([[ 5.63250085e-01, 3.01709073e+01, 2.25370480e+01],
[-2.34437926e+02, 9.63389920e+01, 1.10185793e+02],
[-1.06260776e-13, 4.40205955e-14, -8.45549813e-10]])
fopt: 0.6739038008683367
fun: -0.6723399070201318
message: 'Optimization terminated successfully.'
nfev: 777
nit: 11
status: 0
success: True
x: array([ 66.64630436, 164.410826 , 175. ])
xopt: array([ 67., 164., 175.])
zopt: array([ 67., 231., 406.])
*******************************************
Period: 43
direc: array([[-8.55685741e+00, 3.00000000e+00, 3.00000000e+00],
[-2.77752305e+02, 1.13608656e+02, 1.30058782e+02],
[ 1.40614120e-01, 3.81931637e+01, -4.93211398e-02]])
fopt: 0.6372293336279942
fun: -0.6367337804312698
message: 'Optimization terminated successfully.'
nfev: 1171
nit: 14
status: 0
success: True
x: array([ 67.1454072 , 196.07205517, 143.04201367])
xopt: array([ 68., 196., 143.])
zopt: array([ 68., 264., 407.])
*******************************************
Period: 44
direc: array([[-4.15449642e+00, 1.01794933e+00, 1.01794933e+00],
[-4.38495256e+01, 1.72239908e+01, 1.50713448e+01],
[-1.06216632e-01, -1.62344457e-01, 7.07522664e-06]])
fopt: 0.5991672634385143
fun: -0.5991514313622336
message: 'Optimization terminated successfully.'
nfev: 693
nit: 11
status: 0
success: True
x: array([ 71.01144015, 239.00001811, 100.00000629])
xopt: array([ 71., 239., 100.])
zopt: array([ 71., 310., 410.])
*******************************************
Period: 45
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-283.53774151, 165.35333603, 94.48762059]])
fopt: 0.6030584171123908
fun: -0.6018370273064015
message: 'Optimization terminated successfully.'
nfev: 773
nit: 11
status: 0
success: True
x: array([ 72.99910627, 215. , 122.16680942])
xopt: array([ 72., 215., 123.])
zopt: array([ 72., 287., 410.])
*******************************************
Period: 46
direc: array([[-4.10480103e+01, 1.62917442e+01, 1.09503134e+01],
[-2.05228176e+02, 9.86922221e+01, 6.49720738e+01],
[-1.53899502e-01, 7.87320628e+01, 4.10554437e-02]])
fopt: 0.5772104647286134
fun: -0.5765118474307902
message: 'Optimization terminated successfully.'
nfev: 890
nit: 11
status: 0
success: True
x: array([ 72.49140547, 242. , 96.04808135])
xopt: array([ 72., 242., 96.])
zopt: array([ 72., 314., 410.])
*******************************************
Period: 47
direc: array([[-1.79484369e+01, 7.00000000e+00, 4.00000000e+00],
[-8.97421847e+00, 3.00000000e+00, 2.00000000e+00],
[ 1.69847715e-14, -3.45287746e-15, -3.45287746e-15]])
fopt: 0.30271256292704346
fun: -0.3005265986978573
message: 'Optimization terminated successfully.'
nfev: 831
nit: 8
status: 0
success: True
x: array([322.17358158, 20.00354633, 13.00236407])
xopt: array([323., 21., 14.])
zopt: array([323., 344., 358.])
*******************************************
Period: 48
direc: array([[ 1.06819569e-06, 2.01131794e+00, 2.01131773e+00],
[-3.23693884e+02, 1.27464596e+02, 1.91196894e+02],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00]])
fopt: 0.6532094803367761
fun: -0.652330189191916
message: 'Optimization terminated successfully.'
nfev: 927
nit: 10
status: 0
success: True
x: array([ 74.26331277, 140.01620144, 208. ])
xopt: array([ 74., 140., 209.])
zopt: array([ 74., 214., 423.])
*******************************************
Period: 49
direc: array([[ -0.67376206, 1. , 1. ],
[ 0. , 0. , 1. ],
[-321.32938999, 140.32649309, 208.46559345]])
fopt: 0.6448774199105659
fun: -0.6434258292175278
message: 'Optimization terminated successfully.'
nfev: 319
nit: 5
status: 0
success: True
x: array([ 77.17363855, 140.34269096, 210.00000001])
xopt: array([ 77., 140., 210.])
zopt: array([ 77., 217., 427.])
*******************************************
Period: 50
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.99859259e+01, 2.56548460e+01, 4.00365592e+01],
[-2.53586423e-19, -0.00000000e+00, -1.34409627e-10]])
fopt: 0.6420185778409961
fun: -0.641339549498576
message: 'Optimization terminated successfully.'
nfev: 1263
nit: 16
status: 0
success: True
x: array([ 77.9999936 , 136. , 213.00000003])
xopt: array([ 77., 137., 213.])
zopt: array([ 77., 214., 427.])
*******************************************
Period: 51
direc: array([[-2.47117100e+02, 1.44060253e+02, 8.23201445e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.05596467e-09, -3.67855857e-11, -2.41998359e-13]])
fopt: 0.5759600225338879
fun: -0.576040744884153
message: 'Optimization terminated successfully.'
nfev: 662
nit: 9
status: 0
success: True
x: array([ 74.00184908, 213.0002956 , 123.00002327])
xopt: array([ 74., 213., 123.])
zopt: array([ 74., 287., 410.])
*******************************************
Period: 52
direc: array([[ -6.87869055, 3.08207792, 2.11321603],
[ -2.85876139, 1.05930761, 1.05930761],
[-285.37225475, 166.07636205, 113.86962305]])
fopt: 0.5225975658764421
fun: -0.5190173483696539
message: 'Optimization terminated successfully.'
nfev: 475
nit: 6
status: 0
success: True
x: array([ 67.07401796, 176.10029945, 122. ])
xopt: array([ 68., 177., 123.])
zopt: array([ 68., 245., 368.])
*******************************************
Period: 53
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.03444184, 1. , 1. ]])
fopt: 0.30562127033882724
fun: -0.3074041010215638
message: 'Optimization terminated successfully.'
nfev: 600
nit: 8
status: 0
success: True
x: array([398.04969702, 7.00017307, 5.01055323])
xopt: array([398., 7., 5.])
zopt: array([398., 405., 410.])
*******************************************
Period: 54
direc: array([[-1.80414143e+02, 2.50329101e-01, 1.13881734e+02],
[ 2.17430625e-08, -9.99999999e-01, -8.12269084e-02],
[ 2.67313960e-16, -1.03170030e-10, 3.69424216e-09]])
fopt: 0.42781378610192855
fun: -0.42287734374183494
message: 'Optimization terminated successfully.'
nfev: 1067
nit: 11
status: 0
success: True
x: array([215.45736819, 7.02567795, 126.001054 ])
xopt: array([216., 8., 127.])
zopt: array([216., 224., 351.])
*******************************************
Period: 55
direc: array([[ 3.61694674e-10, 2.00000000e+00, 3.01383470e+00],
[-5.41640780e+00, -9.75414061e-06, 5.23495371e+00],
[-1.41129058e-14, -0.00000000e+00, -1.58679209e-04]])
fopt: 0.5859807897856734
fun: -0.5863171779509911
message: 'Optimization terminated successfully.'
nfev: 1053
nit: 12
status: 0
success: True
x: array([182.28802854, 10.01132744, 231.02496118])
xopt: array([182., 10., 231.])
zopt: array([182., 192., 423.])
*******************************************
Period: 56
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-324.56853121, 169.17096204, 169.17096204]])
fopt: 0.5793271585341757
fun: -0.5790215713915049
message: 'Optimization terminated successfully.'
nfev: 488
nit: 5
status: 0
success: True
x: array([ 75.57635344, 173.00000883, 174. ])
xopt: array([ 75., 173., 174.])
zopt: array([ 75., 248., 422.])
*******************************************
Period: 57
direc: array([[ -1.61215186, 1.02450426, 1.02450426],
[ 0. , 1. , 0. ],
[-304.40648113, 192.9721255 , 198.76476008]])
fopt: 0.5962402641807736
fun: -0.5953879238090259
message: 'Optimization terminated successfully.'
nfev: 575
nit: 7
status: 0
success: True
x: array([ 75.66289046, 133. , 217.4089843 ])
xopt: array([ 75., 133., 218.])
zopt: array([ 75., 208., 426.])
*******************************************
Period: 58
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-6.46409791, 0. , 6.8467556 ]])
fopt: 0.57066275056429
fun: -0.5706872964025702
message: 'Optimization terminated successfully.'
nfev: 812
nit: 10
status: 0
success: True
x: array([188.68750288, 4.00118633, 231.00002927])
xopt: array([188., 4., 231.])
zopt: array([188., 192., 423.])
*******************************************
Period: 59
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[-0., 0., 0.]])
fopt: 0.29855009203571886
fun: -0.3001939067669517
message: 'Optimization terminated successfully.'
nfev: 582
nit: 7
status: 0
success: True
x: array([398.00868317, 7.00000166, 5.04896116])
xopt: array([398., 7., 5.])
zopt: array([398., 405., 410.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdoeja63f.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1srivcnd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.39124
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.08463 0.39124
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084625924167e+00, best bound 1.084625924167e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_r2fp5tc.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 315 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphs840myh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 315 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.158855
Presolve removed 96 rows and 72 columns
Presolve time: 0.00s
Presolved: 3 rows, 4 columns, 7 nonzeros
Variable types: 2 continuous, 2 integer (1 binary)
Root relaxation: objective 1.822752e+00, 1 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.8227522 1.82275 0.00% - 0s
Explored 0 nodes (1 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.82275 0.158855
Optimal solution found (tolerance 1.00e-02)
Best objective 1.822752246861e+00, best bound 1.822752246861e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgcxegsap.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz11g01a1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 484 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99041
Presolve removed 115 rows and 83 columns
Presolve time: 0.00s
Presolved: 30 rows, 26 columns, 99 nonzeros
Variable types: 12 continuous, 14 integer (11 binary)
Root relaxation: objective 1.761656e+00, 15 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76166 0 3 0.99041 1.76166 77.9% - 0s
H 0 0 1.5708340 1.76166 12.1% - 0s
0 0 cutoff 0 1.57083 1.57083 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow path: 1
Explored 1 nodes (16 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.57083 0.99041
Optimal solution found (tolerance 1.00e-02)
Best objective 1.570833955109e+00, best bound 1.570833955109e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpplj46ciw.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 657 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzszy5dnq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 657 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09504
Presolve removed 147 rows and 104 columns
Presolve time: 0.01s
Presolved: 44 rows, 38 columns, 145 nonzeros
Variable types: 20 continuous, 18 integer (15 binary)
Root relaxation: objective 1.470020e+00, 21 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32757 0 3 1.09504 1.32757 21.2% - 0s
H 0 0 1.2574274 1.32757 5.58% - 0s
0 0 cutoff 0 1.25743 1.25743 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 1
Flow path: 1
Explored 1 nodes (24 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.25743 1.09504
Optimal solution found (tolerance 1.00e-02)
Best objective 1.257427381118e+00, best bound 1.257427381118e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0g09mh9q.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 830 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaozgeo2s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 830 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00222
Presolve removed 167 rows and 117 columns
Presolve time: 0.01s
Presolved: 70 rows, 58 columns, 246 nonzeros
Variable types: 32 continuous, 26 integer (23 binary)
Root relaxation: objective 1.060821e+00, 35 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 cutoff 0 1.00222 1.00222 0.00% - 0s
Explored 0 nodes (38 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00222
Optimal solution found (tolerance 1.00e-02)
Best objective 1.002223397159e+00, best bound 1.002223397159e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnt815ame.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 1005 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjdgvk3zr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 1005 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794525
Presolve removed 137 rows and 93 columns
Presolve time: 0.00s
Presolved: 146 rows, 115 columns, 515 nonzeros
Variable types: 57 continuous, 58 integer (52 binary)
Root relaxation: objective 1.189623e+00, 92 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14091 0 8 0.79453 1.14091 43.6% - 0s
0 0 0.87452 0 3 0.79453 0.87452 10.1% - 0s
H 0 0 0.7968396 0.87452 9.75% - 0s
H 0 0 0.8287554 0.87452 5.52% - 0s
0 0 0.85335 0 1 0.82876 0.85335 2.97% - 0s
0 0 0.85335 0 1 0.82876 0.85335 2.97% - 0s
0 0 0.85335 0 1 0.82876 0.85335 2.97% - 0s
0 0 infeasible 0 0.82876 0.82876 0.00% - 0s
Explored 1 nodes (154 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.828755 0.79684 0.794525
Optimal solution found (tolerance 1.00e-02)
Best objective 8.287554429001e-01, best bound 8.287554429002e-01, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvz9gmbup.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1180 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8t9vah3r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1180 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.530974
Presolve removed 150 rows and 99 columns
Presolve time: 0.01s
Presolved: 179 rows, 142 columns, 639 nonzeros
Variable types: 73 continuous, 69 integer (64 binary)
Root relaxation: objective 2.430812e+00, 145 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.43081 0 11 0.53097 2.43081 358% - 0s
0 0 2.22308 0 19 0.53097 2.22308 319% - 0s
0 0 2.22061 0 18 0.53097 2.22061 318% - 0s
0 0 1.99458 0 14 0.53097 1.99458 276% - 0s
0 0 1.97519 0 18 0.53097 1.97519 272% - 0s
0 0 1.94422 0 19 0.53097 1.94422 266% - 0s
0 0 1.93919 0 20 0.53097 1.93919 265% - 0s
0 0 1.90740 0 19 0.53097 1.90740 259% - 0s
0 0 1.90529 0 19 0.53097 1.90529 259% - 0s
0 0 1.90484 0 21 0.53097 1.90484 259% - 0s
0 0 1.90449 0 21 0.53097 1.90449 259% - 0s
0 0 1.82572 0 20 0.53097 1.82572 244% - 0s
0 0 1.81855 0 20 0.53097 1.81855 242% - 0s
0 0 1.81555 0 19 0.53097 1.81555 242% - 0s
0 0 1.80944 0 18 0.53097 1.80944 241% - 0s
0 0 1.80898 0 18 0.53097 1.80898 241% - 0s
0 0 1.80898 0 18 0.53097 1.80898 241% - 0s
0 0 1.80396 0 18 0.53097 1.80396 240% - 0s
0 0 1.80396 0 18 0.53097 1.80396 240% - 0s
H 0 0 0.7960609 1.80396 127% - 0s
0 2 1.80396 0 16 0.79606 1.80396 127% - 0s
* 80 0 9 0.8156162 0.90663 11.2% 4.7 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 7
MIR: 5
Flow cover: 10
Explored 85 nodes (712 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.815616 0.796061 0.530974
Optimal solution found (tolerance 1.00e-02)
Best objective 8.156161723436e-01, best bound 8.156161723436e-01, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp13wb9b55.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1355 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp63h70imk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1355 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.638235
Presolve removed 165 rows and 108 columns
Presolve time: 0.01s
Presolved: 210 rows, 166 columns, 757 nonzeros
Variable types: 86 continuous, 80 integer (75 binary)
Root relaxation: objective 2.327612e+00, 150 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.32761 0 13 0.63823 2.32761 265% - 0s
0 0 2.09079 0 18 0.63823 2.09079 228% - 0s
0 0 2.08775 0 18 0.63823 2.08775 227% - 0s
0 0 1.92100 0 21 0.63823 1.92100 201% - 0s
0 0 1.91617 0 21 0.63823 1.91617 200% - 0s
0 0 1.91616 0 21 0.63823 1.91616 200% - 0s
0 0 1.90344 0 21 0.63823 1.90344 198% - 0s
0 0 1.88654 0 22 0.63823 1.88654 196% - 0s
0 0 1.86834 0 22 0.63823 1.86834 193% - 0s
0 0 1.80195 0 22 0.63823 1.80195 182% - 0s
0 0 1.80172 0 24 0.63823 1.80172 182% - 0s
0 0 1.79806 0 26 0.63823 1.79806 182% - 0s
0 0 1.79797 0 26 0.63823 1.79797 182% - 0s
0 0 1.79797 0 26 0.63823 1.79797 182% - 0s
0 0 1.79797 0 26 0.63823 1.79797 182% - 0s
0 2 1.79797 0 26 0.63823 1.79797 182% - 0s
* 53 10 13 0.7282406 1.10098 51.2% 5.2 0s
* 78 14 12 0.8274589 0.95382 15.3% 4.6 0s
Cutting planes:
Gomory: 6
Cover: 1
Implied bound: 7
MIR: 8
Flow cover: 14
Explored 92 nodes (785 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.827459 0.728241 0.638235
Optimal solution found (tolerance 1.00e-02)
Best objective 8.274588714603e-01, best bound 8.274588714603e-01, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq2jxe9ut.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1530 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkwpyu6wm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1530 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.702996
Presolve removed 179 rows and 116 columns
Presolve time: 0.01s
Presolved: 242 rows, 191 columns, 875 nonzeros
Variable types: 100 continuous, 91 integer (86 binary)
Root relaxation: objective 2.120140e+00, 177 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12014 0 15 0.70300 2.12014 202% - 0s
0 0 1.88422 0 12 0.70300 1.88422 168% - 0s
0 0 1.88151 0 12 0.70300 1.88151 168% - 0s
0 0 1.87198 0 15 0.70300 1.87198 166% - 0s
0 0 1.73525 0 19 0.70300 1.73525 147% - 0s
0 0 1.72788 0 20 0.70300 1.72788 146% - 0s
0 0 1.72772 0 20 0.70300 1.72772 146% - 0s
0 0 1.71630 0 16 0.70300 1.71630 144% - 0s
0 0 1.71130 0 17 0.70300 1.71130 143% - 0s
0 0 1.70878 0 19 0.70300 1.70878 143% - 0s
0 0 1.70399 0 19 0.70300 1.70399 142% - 0s
0 0 1.69170 0 19 0.70300 1.69170 141% - 0s
0 0 1.69170 0 19 0.70300 1.69170 141% - 0s
0 0 1.68550 0 18 0.70300 1.68550 140% - 0s
0 0 1.67865 0 19 0.70300 1.67865 139% - 0s
0 0 1.67865 0 19 0.70300 1.67865 139% - 0s
0 0 1.61909 0 20 0.70300 1.61909 130% - 0s
0 0 1.61769 0 18 0.70300 1.61769 130% - 0s
0 0 1.61263 0 20 0.70300 1.61263 129% - 0s
0 0 1.60683 0 17 0.70300 1.60683 129% - 0s
0 0 1.60670 0 20 0.70300 1.60670 129% - 0s
0 0 1.56184 0 21 0.70300 1.56184 122% - 0s
0 0 1.55596 0 19 0.70300 1.55596 121% - 0s
0 0 1.55310 0 17 0.70300 1.55310 121% - 0s
0 0 1.55303 0 17 0.70300 1.55303 121% - 0s
0 0 1.55150 0 20 0.70300 1.55150 121% - 0s
0 0 1.55046 0 20 0.70300 1.55046 121% - 0s
0 0 1.55024 0 22 0.70300 1.55024 121% - 0s
0 0 1.55024 0 22 0.70300 1.55024 121% - 0s
0 2 1.55024 0 22 0.70300 1.55024 121% - 0s
* 96 7 17 0.7615975 0.98910 29.9% 7.4 0s
Cutting planes:
Gomory: 5
Cover: 2
Implied bound: 8
MIR: 8
Flow cover: 18
Flow path: 1
Inf proof: 1
Network: 1
Explored 129 nodes (1395 simplex iterations) in 0.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.761597 0.702996
Optimal solution found (tolerance 1.00e-02)
Best objective 7.615974850757e-01, best bound 7.615974850757e-01, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppfwcao02.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1705 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5t4g1ey9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1705 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.641559
Presolve removed 194 rows and 125 columns
Presolve time: 0.01s
Presolved: 273 rows, 215 columns, 993 nonzeros
Variable types: 113 continuous, 102 integer (97 binary)
Root relaxation: objective 1.998838e+00, 215 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99884 0 16 0.64156 1.99884 212% - 0s
0 0 1.77440 0 19 0.64156 1.77440 177% - 0s
0 0 1.77197 0 19 0.64156 1.77197 176% - 0s
0 0 1.63461 0 24 0.64156 1.63461 155% - 0s
0 0 1.63179 0 24 0.64156 1.63179 154% - 0s
0 0 1.63174 0 24 0.64156 1.63174 154% - 0s
0 0 1.62326 0 25 0.64156 1.62326 153% - 0s
0 0 1.61855 0 25 0.64156 1.61855 152% - 0s
0 0 1.60991 0 26 0.64156 1.60991 151% - 0s
0 0 1.60129 0 24 0.64156 1.60129 150% - 0s
0 0 1.59889 0 26 0.64156 1.59889 149% - 0s
0 0 1.56258 0 21 0.64156 1.56258 144% - 0s
0 0 1.55866 0 27 0.64156 1.55866 143% - 0s
0 0 1.55475 0 27 0.64156 1.55475 142% - 0s
0 0 1.55475 0 27 0.64156 1.55475 142% - 0s
0 0 1.55245 0 27 0.64156 1.55245 142% - 0s
0 0 1.53216 0 26 0.64156 1.53216 139% - 0s
0 0 1.52033 0 27 0.64156 1.52033 137% - 0s
0 0 1.51971 0 24 0.64156 1.51971 137% - 0s
0 0 1.51808 0 27 0.64156 1.51808 137% - 0s
0 0 1.51805 0 27 0.64156 1.51805 137% - 0s
0 0 1.51235 0 28 0.64156 1.51235 136% - 0s
0 0 1.50723 0 27 0.64156 1.50723 135% - 0s
0 0 1.50547 0 27 0.64156 1.50547 135% - 0s
0 0 1.50540 0 27 0.64156 1.50540 135% - 0s
0 0 1.50517 0 27 0.64156 1.50517 135% - 0s
0 0 1.50197 0 30 0.64156 1.50197 134% - 0s
0 0 1.49375 0 27 0.64156 1.49375 133% - 0s
0 0 1.49087 0 28 0.64156 1.49087 132% - 0s
0 0 1.49073 0 28 0.64156 1.49073 132% - 0s
0 0 1.48509 0 26 0.64156 1.48509 131% - 0s
0 0 1.48005 0 26 0.64156 1.48005 131% - 0s
0 0 1.47997 0 26 0.64156 1.47997 131% - 0s
0 0 1.47739 0 24 0.64156 1.47739 130% - 0s
0 0 1.46821 0 25 0.64156 1.46821 129% - 0s
0 0 1.46815 0 25 0.64156 1.46815 129% - 0s
0 0 1.46792 0 24 0.64156 1.46792 129% - 0s
0 0 1.46779 0 24 0.64156 1.46779 129% - 0s
0 0 1.46779 0 25 0.64156 1.46779 129% - 0s
0 0 1.46779 0 25 0.64156 1.46779 129% - 0s
0 2 1.46779 0 25 0.64156 1.46779 129% - 0s
* 108 32 17 0.6650704 1.13651 70.9% 7.2 0s
* 159 30 18 0.6760111 0.92155 36.3% 6.3 0s
* 203 4 18 0.6942930 0.83816 20.7% 5.9 0s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 5
MIR: 8
Flow cover: 23
Network: 1
Explored 242 nodes (1889 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.694293 0.676011 0.66507 0.641559
Optimal solution found (tolerance 1.00e-02)
Best objective 6.942930464782e-01, best bound 6.942930464782e-01, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp12u6rugm.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1882 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeotognc5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1882 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.593954
Presolve removed 208 rows and 133 columns
Presolve time: 0.01s
Presolved: 305 rows, 240 columns, 1111 nonzeros
Variable types: 127 continuous, 113 integer (108 binary)
Root relaxation: objective 2.140956e+00, 226 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14096 0 17 0.59395 2.14096 260% - 0s
0 0 1.92276 0 19 0.59395 1.92276 224% - 0s
0 0 1.92134 0 19 0.59395 1.92134 223% - 0s
0 0 1.79250 0 24 0.59395 1.79250 202% - 0s
0 0 1.78105 0 23 0.59395 1.78105 200% - 0s
0 0 1.77879 0 28 0.59395 1.77879 199% - 0s
0 0 1.75151 0 33 0.59395 1.75151 195% - 0s
0 0 1.75145 0 33 0.59395 1.75145 195% - 0s
0 0 1.67481 0 32 0.59395 1.67481 182% - 0s
0 0 1.66919 0 30 0.59395 1.66919 181% - 0s
0 0 1.66622 0 32 0.59395 1.66622 181% - 0s
0 0 1.63815 0 32 0.59395 1.63815 176% - 0s
0 0 1.63719 0 33 0.59395 1.63719 176% - 0s
0 0 1.63343 0 33 0.59395 1.63343 175% - 0s
0 0 1.63343 0 33 0.59395 1.63343 175% - 0s
0 0 1.63259 0 33 0.59395 1.63259 175% - 0s
0 0 1.63106 0 33 0.59395 1.63106 175% - 0s
0 0 1.63106 0 26 0.59395 1.63106 175% - 0s
0 2 1.63106 0 24 0.59395 1.63106 175% - 0s
* 64 36 19 0.7246934 1.36338 88.1% 5.7 0s
Cutting planes:
Gomory: 8
Cover: 3
Implied bound: 12
MIR: 13
Flow cover: 26
Inf proof: 3
Explored 349 nodes (2193 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.724693 0.593954
Optimal solution found (tolerance 1.00e-02)
Best objective 7.246933606856e-01, best bound 7.246933606856e-01, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp00uijy10.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 2059 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdp6bqeun.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 2059 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.617737
Presolve removed 221 rows and 141 columns
Presolve time: 0.01s
Presolved: 338 rows, 265 columns, 1233 nonzeros
Variable types: 141 continuous, 124 integer (119 binary)
Root relaxation: objective 2.068775e+00, 274 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06878 0 20 0.61774 2.06878 235% - 0s
0 0 1.86503 0 27 0.61774 1.86503 202% - 0s
0 0 1.86235 0 28 0.61774 1.86235 201% - 0s
0 0 1.74248 0 25 0.61774 1.74248 182% - 0s
0 0 1.74018 0 26 0.61774 1.74018 182% - 0s
0 0 1.73973 0 25 0.61774 1.73973 182% - 0s
0 0 1.73897 0 27 0.61774 1.73897 182% - 0s
0 0 1.73734 0 26 0.61774 1.73734 181% - 0s
0 0 1.73732 0 26 0.61774 1.73732 181% - 0s
0 0 1.72758 0 30 0.61774 1.72758 180% - 0s
0 0 1.70286 0 29 0.61774 1.70286 176% - 0s
0 0 1.70286 0 30 0.61774 1.70286 176% - 0s
0 0 1.69334 0 29 0.61774 1.69334 174% - 0s
0 0 1.68747 0 30 0.61774 1.68747 173% - 0s
0 0 1.68747 0 30 0.61774 1.68747 173% - 0s
0 0 1.68556 0 37 0.61774 1.68556 173% - 0s
0 0 1.68035 0 31 0.61774 1.68035 172% - 0s
0 0 1.68002 0 31 0.61774 1.68002 172% - 0s
0 0 1.67545 0 31 0.61774 1.67545 171% - 0s
0 0 1.67320 0 31 0.61774 1.67320 171% - 0s
0 0 1.67293 0 30 0.61774 1.67293 171% - 0s
0 0 1.67293 0 30 0.61774 1.67293 171% - 0s
0 2 1.67293 0 30 0.61774 1.67293 171% - 0s
* 175 67 30 0.7490399 1.40552 87.6% 6.3 0s
* 325 80 24 0.7793792 1.20700 54.9% 5.2 0s
* 554 12 24 0.7803994 0.94136 20.6% 4.3 0s
Cutting planes:
Gomory: 7
Cover: 5
Implied bound: 11
MIR: 11
Flow cover: 20
Inf proof: 3
Explored 605 nodes (3107 simplex iterations) in 0.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.780399 0.779379 0.74904 0.617737
Optimal solution found (tolerance 1.00e-02)
Best objective 7.803993523715e-01, best bound 7.803993523715e-01, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplr6jedj6.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 2236 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu9uw5lbe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 2236 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.664183
Presolve removed 234 rows and 149 columns
Presolve time: 0.01s
Presolved: 371 rows, 290 columns, 1356 nonzeros
Variable types: 155 continuous, 135 integer (130 binary)
Root relaxation: objective 2.179599e+00, 321 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17960 0 24 0.66418 2.17960 228% - 0s
0 0 1.97170 0 29 0.66418 1.97170 197% - 0s
0 0 1.97046 0 33 0.66418 1.97046 197% - 0s
0 0 1.85796 0 36 0.66418 1.85796 180% - 0s
0 0 1.85737 0 34 0.66418 1.85737 180% - 0s
0 0 1.85733 0 34 0.66418 1.85733 180% - 0s
0 0 1.85650 0 35 0.66418 1.85650 180% - 0s
0 0 1.85582 0 32 0.66418 1.85582 179% - 0s
0 0 1.85581 0 33 0.66418 1.85581 179% - 0s
0 0 1.85395 0 33 0.66418 1.85395 179% - 0s
0 0 1.85390 0 37 0.66418 1.85390 179% - 0s
0 0 1.84801 0 38 0.66418 1.84801 178% - 0s
0 0 1.83911 0 35 0.66418 1.83911 177% - 0s
0 0 1.83911 0 35 0.66418 1.83911 177% - 0s
0 0 1.83358 0 35 0.66418 1.83358 176% - 0s
0 0 1.83358 0 36 0.66418 1.83358 176% - 0s
0 0 1.82870 0 37 0.66418 1.82870 175% - 0s
0 0 1.82865 0 38 0.66418 1.82865 175% - 0s
0 0 1.82865 0 38 0.66418 1.82865 175% - 0s
0 0 1.82858 0 37 0.66418 1.82858 175% - 0s
0 0 1.82828 0 38 0.66418 1.82828 175% - 0s
0 0 1.82828 0 32 0.66418 1.82828 175% - 0s
0 2 1.82828 0 32 0.66418 1.82828 175% - 0s
* 241 80 30 0.8120049 1.46548 80.5% 6.3 0s
* 335 100 28 0.8889417 1.35436 52.4% 5.9 0s
Cutting planes:
Gomory: 4
Cover: 7
Implied bound: 27
MIR: 10
Flow cover: 23
Flow path: 1
Inf proof: 5
Explored 778 nodes (4469 simplex iterations) in 0.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.888942 0.812005 0.664183
Optimal solution found (tolerance 1.00e-02)
Best objective 8.889416839452e-01, best bound 8.889416839452e-01, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp192b_rnl.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2413 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5_orz7uc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2413 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.81965
Presolve removed 247 rows and 157 columns
Presolve time: 0.01s
Presolved: 404 rows, 315 columns, 1479 nonzeros
Variable types: 169 continuous, 146 integer (141 binary)
Root relaxation: objective 2.023733e+00, 331 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02373 0 27 0.81965 2.02373 147% - 0s
0 0 1.82963 0 34 0.81965 1.82963 123% - 0s
0 0 1.82507 0 34 0.81965 1.82507 123% - 0s
0 0 1.72526 0 31 0.81965 1.72526 110% - 0s
0 0 1.72311 0 32 0.81965 1.72311 110% - 0s
0 0 1.72126 0 32 0.81965 1.72126 110% - 0s
0 0 1.72096 0 32 0.81965 1.72096 110% - 0s
0 0 1.72090 0 32 0.81965 1.72090 110% - 0s
0 0 1.71856 0 33 0.81965 1.71856 110% - 0s
0 0 1.71796 0 33 0.81965 1.71796 110% - 0s
0 0 1.71720 0 35 0.81965 1.71720 110% - 0s
0 0 1.70838 0 35 0.81965 1.70838 108% - 0s
0 0 1.69392 0 36 0.81965 1.69392 107% - 0s
0 0 1.69136 0 36 0.81965 1.69136 106% - 0s
0 0 1.69136 0 36 0.81965 1.69136 106% - 0s
0 0 1.69116 0 29 0.81965 1.69116 106% - 0s
0 0 1.68626 0 36 0.81965 1.68626 106% - 0s
0 0 1.68577 0 36 0.81965 1.68577 106% - 0s
0 0 1.68559 0 37 0.81965 1.68559 106% - 0s
0 0 1.68559 0 37 0.81965 1.68559 106% - 0s
0 0 1.68552 0 39 0.81965 1.68552 106% - 0s
0 0 1.68552 0 27 0.81965 1.68552 106% - 0s
0 2 1.68552 0 27 0.81965 1.68552 106% - 0s
* 1030 186 25 0.8203977 1.15005 40.2% 4.8 0s
Cutting planes:
Gomory: 7
Cover: 7
Implied bound: 27
MIR: 13
Flow cover: 29
Inf proof: 32
Explored 1587 nodes (8385 simplex iterations) in 0.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.820398 0.81965
Optimal solution found (tolerance 1.00e-02)
Best objective 8.203976802016e-01, best bound 8.203976802016e-01, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptu45nyhh.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2590 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp96t5mrr6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2590 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.739589
Presolve removed 260 rows and 165 columns
Presolve time: 0.01s
Presolved: 437 rows, 340 columns, 1602 nonzeros
Variable types: 183 continuous, 157 integer (152 binary)
Root relaxation: objective 2.039579e+00, 360 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03958 0 29 0.73959 2.03958 176% - 0s
0 0 1.84321 0 32 0.73959 1.84321 149% - 0s
0 0 1.83967 0 33 0.73959 1.83967 149% - 0s
0 0 1.74560 0 35 0.73959 1.74560 136% - 0s
0 0 1.74295 0 33 0.73959 1.74295 136% - 0s
0 0 1.74280 0 33 0.73959 1.74280 136% - 0s
0 0 1.73661 0 35 0.73959 1.73661 135% - 0s
0 0 1.73661 0 35 0.73959 1.73661 135% - 0s
0 0 1.73387 0 38 0.73959 1.73387 134% - 0s
0 0 1.72999 0 38 0.73959 1.72999 134% - 0s
0 0 1.72898 0 38 0.73959 1.72898 134% - 0s
0 0 1.72882 0 38 0.73959 1.72882 134% - 0s
0 0 1.71283 0 31 0.73959 1.71283 132% - 0s
0 0 1.70381 0 32 0.73959 1.70381 130% - 0s
0 0 1.70336 0 34 0.73959 1.70336 130% - 0s
0 0 1.69840 0 40 0.73959 1.69840 130% - 0s
0 0 1.69783 0 40 0.73959 1.69783 130% - 0s
0 0 1.69783 0 40 0.73959 1.69783 130% - 0s
0 0 1.69746 0 42 0.73959 1.69746 130% - 0s
0 0 1.69708 0 42 0.73959 1.69708 129% - 0s
0 0 1.69658 0 42 0.73959 1.69658 129% - 0s
0 0 1.69658 0 31 0.73959 1.69658 129% - 0s
0 2 1.69658 0 31 0.73959 1.69658 129% - 0s
* 592 226 40 0.8135588 1.30478 60.4% 6.9 0s
* 1261 305 29 0.8397493 1.11414 32.7% 6.2 0s
Cutting planes:
Gomory: 12
Cover: 7
Implied bound: 32
MIR: 10
Flow cover: 31
Inf proof: 31
Explored 2142 nodes (12556 simplex iterations) in 1.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.839749 0.813559 0.739589
Optimal solution found (tolerance 1.00e-02)
Best objective 8.397493284496e-01, best bound 8.397493284496e-01, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf449p7us.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2767 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6v0461_9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2767 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.754309
Presolve removed 273 rows and 173 columns
Presolve time: 0.01s
Presolved: 470 rows, 365 columns, 1725 nonzeros
Variable types: 197 continuous, 168 integer (163 binary)
Root relaxation: objective 2.007436e+00, 383 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.00744 0 32 0.75431 2.00744 166% - 0s
0 0 1.81267 0 38 0.75431 1.81267 140% - 0s
0 0 1.80868 0 38 0.75431 1.80868 140% - 0s
0 0 1.72167 0 38 0.75431 1.72167 128% - 0s
0 0 1.72000 0 39 0.75431 1.72000 128% - 0s
0 0 1.71449 0 40 0.75431 1.71449 127% - 0s
0 0 1.71248 0 38 0.75431 1.71248 127% - 0s
0 0 1.71244 0 39 0.75431 1.71244 127% - 0s
0 0 1.70779 0 40 0.75431 1.70779 126% - 0s
0 0 1.70775 0 41 0.75431 1.70775 126% - 0s
0 0 1.70357 0 38 0.75431 1.70357 126% - 0s
0 0 1.70094 0 38 0.75431 1.70094 125% - 0s
0 0 1.70089 0 38 0.75431 1.70089 125% - 0s
0 0 1.69717 0 37 0.75431 1.69717 125% - 0s
0 0 1.69173 0 36 0.75431 1.69173 124% - 0s
0 0 1.68928 0 38 0.75431 1.68928 124% - 0s
0 0 1.68869 0 38 0.75431 1.68869 124% - 0s
0 0 1.68825 0 41 0.75431 1.68825 124% - 0s
0 0 1.68825 0 41 0.75431 1.68825 124% - 0s
0 0 1.68825 0 29 0.75431 1.68825 124% - 0s
0 2 1.68825 0 29 0.75431 1.68825 124% - 0s
* 1217 470 37 0.7670031 1.24632 62.5% 6.5 0s
* 1399 447 31 0.7794818 1.17229 50.4% 6.4 0s
* 2134 511 37 0.7931321 1.07026 34.9% 5.5 1s
* 2332 538 36 0.7981958 1.06048 32.9% 5.4 1s
* 2419 508 36 0.8193321 1.05379 28.6% 5.4 1s
* 2943 369 31 0.8294009 0.97991 18.1% 5.4 1s
* 3174 247 32 0.8309307 0.93994 13.1% 5.4 1s
Cutting planes:
Gomory: 12
Cover: 7
Implied bound: 31
MIR: 14
Flow cover: 32
Inf proof: 39
Explored 3520 nodes (19389 simplex iterations) in 1.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.830931 0.829401 0.819332 ... 0.754309
Optimal solution found (tolerance 1.00e-02)
Best objective 8.309307357478e-01, best bound 8.338448182732e-01, gap 0.3507%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq0r19eh6.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2944 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn5blidtf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2944 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.73856
Presolve removed 286 rows and 181 columns
Presolve time: 0.01s
Presolved: 503 rows, 390 columns, 1848 nonzeros
Variable types: 211 continuous, 179 integer (174 binary)
Root relaxation: objective 1.982057e+00, 445 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98206 0 33 0.73856 1.98206 168% - 0s
0 0 1.79357 0 37 0.73856 1.79357 143% - 0s
0 0 1.79281 0 38 0.73856 1.79281 143% - 0s
0 0 1.70869 0 49 0.73856 1.70869 131% - 0s
0 0 1.70428 0 44 0.73856 1.70428 131% - 0s
0 0 1.70289 0 46 0.73856 1.70289 131% - 0s
0 0 1.70240 0 43 0.73856 1.70240 131% - 0s
0 0 1.70227 0 43 0.73856 1.70227 130% - 0s
0 0 1.70136 0 45 0.73856 1.70136 130% - 0s
0 0 1.69408 0 43 0.73856 1.69408 129% - 0s
0 0 1.68353 0 40 0.73856 1.68353 128% - 0s
0 0 1.68167 0 37 0.73856 1.68167 128% - 0s
0 0 1.68163 0 41 0.73856 1.68163 128% - 0s
0 0 1.67431 0 43 0.73856 1.67431 127% - 0s
0 0 1.64920 0 45 0.73856 1.64920 123% - 0s
0 0 1.64120 0 46 0.73856 1.64120 122% - 0s
0 0 1.63808 0 47 0.73856 1.63808 122% - 0s
0 0 1.63722 0 44 0.73856 1.63722 122% - 0s
0 0 1.63722 0 44 0.73856 1.63722 122% - 0s
0 0 1.63700 0 31 0.73856 1.63700 122% - 0s
0 0 1.63700 0 32 0.73856 1.63700 122% - 0s
0 0 1.63700 0 32 0.73856 1.63700 122% - 0s
0 0 1.63700 0 30 0.73856 1.63700 122% - 0s
0 2 1.63700 0 30 0.73856 1.63700 122% - 0s
* 691 289 49 0.7734322 1.36602 76.6% 7.8 0s
* 2303 443 39 0.7922208 1.12455 41.9% 6.4 1s
* 2410 450 33 0.8128242 1.11447 37.1% 6.3 1s
* 3038 237 29 0.8231670 0.95361 15.8% 5.9 1s
* 3273 95 36 0.8240948 0.89090 8.11% 5.7 1s
Cutting planes:
Gomory: 11
Cover: 15
Implied bound: 36
MIR: 13
Flow cover: 36
Inf proof: 54
Explored 3453 nodes (20236 simplex iterations) in 1.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.824095 0.823167 0.812824 ... 0.73856
Optimal solution found (tolerance 1.00e-02)
Best objective 8.240948360042e-01, best bound 8.240948360042e-01, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0l7volns.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 3121 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_ryydg48.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 3121 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.730674
Presolve removed 299 rows and 189 columns
Presolve time: 0.01s
Presolved: 536 rows, 415 columns, 1971 nonzeros
Variable types: 225 continuous, 190 integer (185 binary)
Root relaxation: objective 1.985574e+00, 395 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98557 0 38 0.73067 1.98557 172% - 0s
0 0 1.80216 0 37 0.73067 1.80216 147% - 0s
0 0 1.80128 0 39 0.73067 1.80128 147% - 0s
0 0 1.71554 0 47 0.73067 1.71554 135% - 0s
0 0 1.71198 0 40 0.73067 1.71198 134% - 0s
0 0 1.71175 0 40 0.73067 1.71175 134% - 0s
0 0 1.70533 0 41 0.73067 1.70533 133% - 0s
0 0 1.70467 0 41 0.73067 1.70467 133% - 0s
0 0 1.69732 0 44 0.73067 1.69732 132% - 0s
0 0 1.69408 0 42 0.73067 1.69408 132% - 0s
0 0 1.69196 0 43 0.73067 1.69196 132% - 0s
0 0 1.68473 0 50 0.73067 1.68473 131% - 0s
0 0 1.68171 0 47 0.73067 1.68171 130% - 0s
0 0 1.68115 0 50 0.73067 1.68115 130% - 0s
0 0 1.68115 0 50 0.73067 1.68115 130% - 0s
0 0 1.64924 0 42 0.73067 1.64924 126% - 0s
0 0 1.64761 0 45 0.73067 1.64761 125% - 0s
0 0 1.64757 0 45 0.73067 1.64757 125% - 0s
0 0 1.64484 0 47 0.73067 1.64484 125% - 0s
0 0 1.64258 0 47 0.73067 1.64258 125% - 0s
0 0 1.64181 0 48 0.73067 1.64181 125% - 0s
0 0 1.64165 0 50 0.73067 1.64165 125% - 0s
0 0 1.64162 0 50 0.73067 1.64162 125% - 0s
0 0 1.64159 0 50 0.73067 1.64159 125% - 0s
0 0 1.64159 0 39 0.73067 1.64159 125% - 0s
0 2 1.64159 0 39 0.73067 1.64159 125% - 0s
* 1793 601 52 0.7844414 1.25101 59.5% 7.8 2s
* 2272 453 36 0.7887698 1.00238 27.1% 8.1 2s
* 2414 316 35 0.7970682 0.95464 19.8% 8.1 2s
* 2420 286 34 0.8024845 0.95464 19.0% 8.1 2s
* 2547 207 34 0.8087045 0.92437 14.3% 8.0 2s
* 2629 161 35 0.8115338 0.92437 13.9% 7.9 2s
* 2704 38 34 0.8404672 0.88427 5.21% 7.9 2s
Cutting planes:
Learned: 1
Gomory: 16
Cover: 11
Implied bound: 13
Projected implied bound: 17
Clique: 2
MIR: 8
Flow cover: 50
Flow path: 2
Inf proof: 11
Explored 2747 nodes (22325 simplex iterations) in 2.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.840467 0.811534 0.808705 ... 0.730674
Optimal solution found (tolerance 1.00e-02)
Best objective 8.404672054519e-01, best bound 8.404672054519e-01, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpagoc50v6.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 3298 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6frr6uck.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 3298 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.768345
Presolve removed 312 rows and 197 columns
Presolve time: 0.01s
Presolved: 569 rows, 440 columns, 2094 nonzeros
Variable types: 239 continuous, 201 integer (196 binary)
Root relaxation: objective 1.921968e+00, 504 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92197 0 42 0.76835 1.92197 150% - 0s
0 0 1.74026 0 43 0.76835 1.74026 126% - 0s
0 0 1.73944 0 45 0.76835 1.73944 126% - 0s
0 0 1.65812 0 57 0.76835 1.65812 116% - 0s
0 0 1.65461 0 51 0.76835 1.65461 115% - 0s
0 0 1.65440 0 51 0.76835 1.65440 115% - 0s
0 0 1.65108 0 56 0.76835 1.65108 115% - 0s
0 0 1.65058 0 56 0.76835 1.65058 115% - 0s
0 0 1.64937 0 60 0.76835 1.64937 115% - 0s
0 0 1.63901 0 56 0.76835 1.63901 113% - 0s
0 0 1.62567 0 61 0.76835 1.62567 112% - 0s
0 0 1.62465 0 60 0.76835 1.62465 111% - 0s
0 0 1.62446 0 60 0.76835 1.62446 111% - 0s
0 0 1.62444 0 59 0.76835 1.62444 111% - 0s
0 0 1.61959 0 61 0.76835 1.61959 111% - 0s
0 0 1.61870 0 63 0.76835 1.61870 111% - 0s
0 0 1.61806 0 63 0.76835 1.61806 111% - 0s
0 0 1.61806 0 63 0.76835 1.61806 111% - 0s
0 0 1.59380 0 62 0.76835 1.59380 107% - 0s
0 0 1.58364 0 58 0.76835 1.58364 106% - 0s
0 0 1.58363 0 62 0.76835 1.58363 106% - 0s
0 0 1.58319 0 57 0.76835 1.58319 106% - 0s
0 0 1.58319 0 58 0.76835 1.58319 106% - 0s
0 0 1.58235 0 58 0.76835 1.58235 106% - 0s
0 0 1.58235 0 46 0.76835 1.58235 106% - 0s
0 2 1.58235 0 45 0.76835 1.58235 106% - 0s
* 2269 489 38 0.8148890 0.98994 21.5% 8.2 2s
Cutting planes:
Learned: 1
Gomory: 18
Cover: 7
Implied bound: 14
Projected implied bound: 11
Clique: 4
MIR: 11
Flow cover: 46
Flow path: 1
Inf proof: 19
Explored 2647 nodes (22813 simplex iterations) in 2.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.814889 0.768345
Optimal solution found (tolerance 1.00e-02)
Best objective 8.148890371733e-01, best bound 8.148890371733e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3g3462jy.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3475 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpquiz0kep.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3475 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.761118
Presolve removed 325 rows and 205 columns
Presolve time: 0.02s
Presolved: 602 rows, 465 columns, 2217 nonzeros
Variable types: 253 continuous, 212 integer (207 binary)
Root relaxation: objective 1.843402e+00, 521 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84340 0 44 0.76112 1.84340 142% - 0s
0 0 1.66706 0 52 0.76112 1.66706 119% - 0s
0 0 1.66234 0 47 0.76112 1.66234 118% - 0s
0 0 1.61284 0 65 0.76112 1.61284 112% - 0s
0 0 1.58483 0 60 0.76112 1.58483 108% - 0s
0 0 1.58402 0 61 0.76112 1.58402 108% - 0s
0 0 1.58373 0 61 0.76112 1.58373 108% - 0s
0 0 1.58276 0 63 0.76112 1.58276 108% - 0s
0 0 1.58218 0 64 0.76112 1.58218 108% - 0s
0 0 1.58216 0 65 0.76112 1.58216 108% - 0s
0 0 1.57243 0 65 0.76112 1.57243 107% - 0s
0 0 1.55955 0 67 0.76112 1.55955 105% - 0s
0 0 1.55954 0 68 0.76112 1.55954 105% - 0s
0 0 1.54189 0 68 0.76112 1.54189 103% - 0s
0 0 1.53926 0 67 0.76112 1.53926 102% - 0s
0 0 1.53915 0 67 0.76112 1.53915 102% - 0s
0 0 1.52542 0 66 0.76112 1.52542 100% - 0s
0 0 1.52500 0 68 0.76112 1.52500 100% - 0s
0 0 1.51961 0 72 0.76112 1.51961 100% - 0s
0 0 1.51946 0 73 0.76112 1.51946 100% - 0s
0 0 1.51933 0 73 0.76112 1.51933 100% - 0s
0 0 1.51933 0 52 0.76112 1.51933 100% - 0s
0 2 1.51933 0 51 0.76112 1.51933 100% - 0s
H 829 450 0.7692040 1.23666 60.8% 6.7 0s
* 1566 349 66 0.7754365 0.96379 24.3% 10.1 3s
* 1570 325 66 0.7780472 0.96379 23.9% 10.1 3s
Cutting planes:
Gomory: 21
Cover: 3
Implied bound: 17
Projected implied bound: 26
MIR: 16
Flow cover: 74
Flow path: 2
Inf proof: 18
Explored 2274 nodes (22015 simplex iterations) in 3.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.778047 0.775436 0.769204 0.761118
Optimal solution found (tolerance 1.00e-02)
Best objective 7.780472455989e-01, best bound 7.780472455989e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj4jcnlqk.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3652 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcr2itniv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3652 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.705048
Presolve removed 338 rows and 213 columns
Presolve time: 0.02s
Presolved: 635 rows, 490 columns, 2340 nonzeros
Variable types: 267 continuous, 223 integer (218 binary)
Root relaxation: objective 1.862152e+00, 509 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86215 0 46 0.70505 1.86215 164% - 0s
0 0 1.66839 0 56 0.70505 1.66839 137% - 0s
0 0 1.66778 0 55 0.70505 1.66778 137% - 0s
0 0 1.60041 0 56 0.70505 1.60041 127% - 0s
0 0 1.59620 0 58 0.70505 1.59620 126% - 0s
0 0 1.59600 0 58 0.70505 1.59600 126% - 0s
0 0 1.59478 0 60 0.70505 1.59478 126% - 0s
0 0 1.59471 0 60 0.70505 1.59471 126% - 0s
0 0 1.59317 0 62 0.70505 1.59317 126% - 0s
0 0 1.59317 0 45 0.70505 1.59317 126% - 0s
0 2 1.59317 0 43 0.70505 1.59317 126% - 0s
* 2448 403 65 0.7091896 0.90120 27.1% 10.4 3s
* 2721 432 64 0.7110627 0.88816 24.9% 10.2 3s
* 2761 363 73 0.7389811 0.88816 20.2% 10.2 3s
* 3171 376 67 0.7440551 0.83022 11.6% 9.7 3s
* 3939 39 71 0.7440634 0.76615 2.97% 9.6 4s
H 4012 0 0.7480810 0.75599 1.06% 9.6 4s
Cutting planes:
Gomory: 31
Cover: 8
Implied bound: 22
Projected implied bound: 21
Clique: 3
MIR: 12
Flow cover: 47
Flow path: 2
Inf proof: 35
Explored 4037 nodes (39418 simplex iterations) in 4.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.748081 0.744063 0.744055 ... 0.705048
Optimal solution found (tolerance 1.00e-02)
Best objective 7.480810096304e-01, best bound 7.480810096304e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmfs0hd6i.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3829 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkqtt19gi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3829 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.733659
Presolve removed 351 rows and 221 columns
Presolve time: 0.02s
Presolved: 668 rows, 515 columns, 2463 nonzeros
Variable types: 281 continuous, 234 integer (229 binary)
Root relaxation: objective 1.803017e+00, 621 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80302 0 50 0.73366 1.80302 146% - 0s
0 0 1.62310 0 61 0.73366 1.62310 121% - 0s
0 0 1.62020 0 61 0.73366 1.62020 121% - 0s
0 0 1.55566 0 65 0.73366 1.55566 112% - 0s
0 0 1.55430 0 65 0.73366 1.55430 112% - 0s
0 0 1.55241 0 69 0.73366 1.55241 112% - 0s
0 0 1.55107 0 69 0.73366 1.55107 111% - 0s
0 0 1.55104 0 70 0.73366 1.55104 111% - 0s
0 0 1.54112 0 67 0.73366 1.54112 110% - 0s
0 0 1.53305 0 64 0.73366 1.53305 109% - 0s
0 0 1.53201 0 64 0.73366 1.53201 109% - 0s
0 0 1.51975 0 63 0.73366 1.51975 107% - 0s
0 0 1.51758 0 64 0.73366 1.51758 107% - 0s
0 0 1.51757 0 64 0.73366 1.51757 107% - 0s
0 0 1.51711 0 63 0.73366 1.51711 107% - 0s
0 0 1.51711 0 63 0.73366 1.51711 107% - 0s
0 0 1.51711 0 46 0.73366 1.51711 107% - 0s
0 2 1.51711 0 46 0.73366 1.51711 107% - 0s
* 3542 118 85 0.7361704 0.81060 10.1% 9.2 3s
Cutting planes:
Gomory: 25
Cover: 3
Implied bound: 17
Projected implied bound: 21
MIR: 10
Flow cover: 50
Flow path: 3
Inf proof: 29
Explored 3821 nodes (36146 simplex iterations) in 3.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.73617 0.733659
Optimal solution found (tolerance 1.00e-02)
Best objective 7.361703734764e-01, best bound 7.361703734764e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqeoge5un.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 4006 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp35p18y_r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 4006 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732026
Presolve removed 364 rows and 229 columns
Presolve time: 0.02s
Presolved: 701 rows, 540 columns, 2586 nonzeros
Variable types: 295 continuous, 245 integer (240 binary)
Root relaxation: objective 1.746706e+00, 571 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74671 0 55 0.73203 1.74671 139% - 0s
0 0 1.58557 0 60 0.73203 1.58557 117% - 0s
0 0 1.58397 0 57 0.73203 1.58397 116% - 0s
0 0 1.51093 0 71 0.73203 1.51093 106% - 0s
0 0 1.50957 0 71 0.73203 1.50957 106% - 0s
0 0 1.50937 0 72 0.73203 1.50937 106% - 0s
0 0 1.49853 0 71 0.73203 1.49853 105% - 0s
0 0 1.49272 0 68 0.73203 1.49272 104% - 0s
0 0 1.49016 0 69 0.73203 1.49016 104% - 0s
0 0 1.49012 0 69 0.73203 1.49012 104% - 0s
0 0 1.47608 0 76 0.73203 1.47608 102% - 0s
0 0 1.46687 0 73 0.73203 1.46687 100% - 0s
0 0 1.46181 0 80 0.73203 1.46181 100% - 0s
0 0 1.46142 0 80 0.73203 1.46142 100% - 0s
0 0 1.46134 0 81 0.73203 1.46134 100% - 0s
0 0 1.46134 0 56 0.73203 1.46134 100% - 0s
0 2 1.46134 0 56 0.73203 1.46134 100% - 0s
* 267 174 90 0.7385790 1.34001 81.4% 10.8 0s
4445 357 cutoff 40 0.73858 0.80641 9.18% 11.2 5s
Cutting planes:
Learned: 1
Gomory: 35
Cover: 5
Implied bound: 24
Projected implied bound: 10
Clique: 5
MIR: 12
Flow cover: 47
Flow path: 1
Inf proof: 51
Explored 5151 nodes (56436 simplex iterations) in 5.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.738579 0.732026
Optimal solution found (tolerance 1.00e-02)
Best objective 7.385789659849e-01, best bound 7.458935923336e-01, gap 0.9904%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdw_sf0jx.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 4183 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp21pfyoq2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 4183 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.722569
Presolve removed 377 rows and 237 columns
Presolve time: 0.02s
Presolved: 734 rows, 565 columns, 2709 nonzeros
Variable types: 309 continuous, 256 integer (251 binary)
Root relaxation: objective 1.734673e+00, 657 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73467 0 51 0.72257 1.73467 140% - 0s
0 0 1.66139 0 73 0.72257 1.66139 130% - 0s
0 0 1.66074 0 69 0.72257 1.66074 130% - 0s
0 0 1.55592 0 68 0.72257 1.55592 115% - 0s
0 0 1.55260 0 69 0.72257 1.55260 115% - 0s
0 0 1.55035 0 70 0.72257 1.55035 115% - 0s
0 0 1.55023 0 68 0.72257 1.55023 115% - 0s
0 0 1.54792 0 73 0.72257 1.54792 114% - 0s
0 0 1.54554 0 74 0.72257 1.54554 114% - 0s
0 0 1.53955 0 73 0.72257 1.53955 113% - 0s
0 0 1.53849 0 75 0.72257 1.53849 113% - 0s
0 0 1.53792 0 74 0.72257 1.53792 113% - 0s
0 0 1.53661 0 75 0.72257 1.53661 113% - 0s
0 0 1.53661 0 74 0.72257 1.53661 113% - 0s
0 0 1.51988 0 75 0.72257 1.51988 110% - 0s
0 0 1.51569 0 74 0.72257 1.51569 110% - 0s
0 0 1.50716 0 72 0.72257 1.50716 109% - 0s
0 0 1.50658 0 76 0.72257 1.50658 109% - 0s
0 0 1.50474 0 73 0.72257 1.50474 108% - 0s
0 0 1.50457 0 70 0.72257 1.50457 108% - 0s
0 0 1.50426 0 72 0.72257 1.50426 108% - 0s
0 0 1.50422 0 72 0.72257 1.50422 108% - 0s
0 0 1.50422 0 73 0.72257 1.50422 108% - 0s
0 0 1.50422 0 55 0.72257 1.50422 108% - 0s
0 2 1.50422 0 55 0.72257 1.50422 108% - 0s
H 3417 887 0.7225693 0.94432 30.7% 12.1 4s
3824 930 infeasible 33 0.72257 0.92739 28.3% 12.2 5s
H 4272 939 0.7238089 0.91638 26.6% 12.3 5s
* 5242 885 76 0.7261844 0.87783 20.9% 12.2 7s
H 5443 870 0.7365320 0.85979 16.7% 12.3 7s
H 5446 870 0.7365320 0.85979 16.7% 12.3 7s
Cutting planes:
Gomory: 14
Cover: 3
Implied bound: 18
Projected implied bound: 30
Clique: 2
MIR: 14
Flow cover: 83
Flow path: 1
Inf proof: 72
Explored 7004 nodes (82790 simplex iterations) in 9.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.736532 0.736532 0.726184 ... 0.722569
Optimal solution found (tolerance 1.00e-02)
Best objective 7.365320104347e-01, best bound 7.398488489175e-01, gap 0.4503%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprd6h3_s9.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 4360 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe0vn2uyc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 4360 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732992
Presolve removed 390 rows and 245 columns
Presolve time: 0.02s
Presolved: 767 rows, 590 columns, 2832 nonzeros
Variable types: 323 continuous, 267 integer (262 binary)
Root relaxation: objective 1.748664e+00, 677 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74866 0 59 0.73299 1.74866 139% - 0s
0 0 1.57088 0 64 0.73299 1.57088 114% - 0s
0 0 1.56936 0 60 0.73299 1.56936 114% - 0s
0 0 1.50479 0 79 0.73299 1.50479 105% - 0s
0 0 1.50330 0 75 0.73299 1.50330 105% - 0s
0 0 1.50294 0 76 0.73299 1.50294 105% - 0s
0 0 1.49452 0 76 0.73299 1.49452 104% - 0s
0 0 1.49002 0 72 0.73299 1.49002 103% - 0s
0 0 1.48887 0 74 0.73299 1.48887 103% - 0s
0 0 1.48043 0 80 0.73299 1.48043 102% - 0s
0 0 1.47981 0 84 0.73299 1.47981 102% - 0s
0 0 1.47981 0 84 0.73299 1.47981 102% - 0s
0 0 1.47495 0 83 0.73299 1.47495 101% - 0s
0 0 1.47193 0 86 0.73299 1.47193 101% - 0s
0 0 1.47193 0 86 0.73299 1.47193 101% - 0s
0 0 1.47143 0 88 0.73299 1.47143 101% - 0s
0 0 1.47139 0 89 0.73299 1.47139 101% - 0s
0 0 1.47139 0 68 0.73299 1.47139 101% - 0s
0 2 1.47139 0 68 0.73299 1.47139 101% - 0s
3633 817 cutoff 41 0.73299 0.98226 34.0% 12.5 5s
* 3859 837 78 0.7368452 0.98226 33.3% 12.4 5s
Cutting planes:
Gomory: 28
Cover: 7
Implied bound: 19
Projected implied bound: 29
MIR: 23
Flow cover: 64
Flow path: 2
Inf proof: 47
Explored 6727 nodes (77415 simplex iterations) in 7.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.736845 0.732992
Optimal solution found (tolerance 1.00e-02)
Best objective 7.368451974786e-01, best bound 7.368451974786e-01, gap 0.0000%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphkqi4ff_.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 4537 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjwio2pak.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 4537 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.757328
Presolve removed 403 rows and 253 columns
Presolve time: 0.02s
Presolved: 800 rows, 615 columns, 2955 nonzeros
Variable types: 337 continuous, 278 integer (273 binary)
Root relaxation: objective 1.736693e+00, 644 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73669 0 62 0.75733 1.73669 129% - 0s
0 0 1.65214 0 74 0.75733 1.65214 118% - 0s
0 0 1.65156 0 74 0.75733 1.65156 118% - 0s
0 0 1.59558 0 82 0.75733 1.59558 111% - 0s
0 0 1.59368 0 82 0.75733 1.59368 110% - 0s
0 0 1.58988 0 80 0.75733 1.58988 110% - 0s
0 0 1.58971 0 82 0.75733 1.58971 110% - 0s
0 0 1.58841 0 82 0.75733 1.58841 110% - 0s
0 0 1.58653 0 82 0.75733 1.58653 109% - 0s
0 0 1.58079 0 83 0.75733 1.58079 109% - 0s
0 0 1.58079 0 83 0.75733 1.58079 109% - 0s
0 0 1.58016 0 82 0.75733 1.58016 109% - 0s
0 0 1.57945 0 80 0.75733 1.57945 109% - 0s
0 0 1.57830 0 82 0.75733 1.57830 108% - 0s
0 0 1.56237 0 85 0.75733 1.56237 106% - 0s
0 0 1.55894 0 82 0.75733 1.55894 106% - 0s
0 0 1.55063 0 84 0.75733 1.55063 105% - 0s
0 0 1.54913 0 83 0.75733 1.54913 105% - 0s
0 0 1.54820 0 83 0.75733 1.54820 104% - 0s
0 0 1.54816 0 83 0.75733 1.54816 104% - 0s
0 0 1.54814 0 83 0.75733 1.54814 104% - 0s
0 0 1.54814 0 56 0.75733 1.54814 104% - 0s
0 2 1.54814 0 56 0.75733 1.54814 104% - 0s
H 2987 690 0.7706387 1.01165 31.3% 11.8 4s
3164 696 0.92539 34 45 0.77064 0.99344 28.9% 11.8 5s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 28
Projected implied bound: 32
Clique: 4
MIR: 13
Flow cover: 66
Inf proof: 57
Explored 5792 nodes (63846 simplex iterations) in 7.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.770639 0.757328
Optimal solution found (tolerance 1.00e-02)
Best objective 7.706386773637e-01, best bound 7.706386773637e-01, gap 0.0000%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeevuoj4i.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4714 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpomoekev1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4714 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.746254
Presolve removed 416 rows and 261 columns
Presolve time: 0.02s
Presolved: 833 rows, 640 columns, 3078 nonzeros
Variable types: 351 continuous, 289 integer (284 binary)
Root relaxation: objective 1.671757e+00, 771 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67176 0 63 0.74625 1.67176 124% - 0s
0 0 1.58988 0 75 0.74625 1.58988 113% - 0s
0 0 1.58844 0 72 0.74625 1.58844 113% - 0s
0 0 1.52808 0 91 0.74625 1.52808 105% - 0s
0 0 1.52650 0 87 0.74625 1.52650 105% - 0s
0 0 1.51842 0 85 0.74625 1.51842 103% - 0s
0 0 1.51424 0 83 0.74625 1.51424 103% - 0s
0 0 1.51053 0 82 0.74625 1.51053 102% - 0s
0 0 1.51050 0 83 0.74625 1.51050 102% - 0s
0 0 1.48918 0 83 0.74625 1.48918 100% - 0s
0 0 1.48870 0 85 0.74625 1.48870 99.5% - 0s
0 0 1.48828 0 85 0.74625 1.48828 99.4% - 0s
0 0 1.48763 0 84 0.74625 1.48763 99.3% - 0s
0 0 1.48316 0 82 0.74625 1.48316 98.7% - 0s
0 0 1.48254 0 85 0.74625 1.48254 98.7% - 0s
0 0 1.48242 0 87 0.74625 1.48242 98.6% - 0s
0 0 1.48078 0 85 0.74625 1.48078 98.4% - 0s
0 0 1.48078 0 85 0.74625 1.48078 98.4% - 0s
0 0 1.48078 0 53 0.74625 1.48078 98.4% - 0s
0 2 1.48078 0 53 0.74625 1.48078 98.4% - 0s
3259 529 0.82579 40 38 0.74625 0.89781 20.3% 13.1 5s
Cutting planes:
Gomory: 25
Cover: 3
Implied bound: 20
Projected implied bound: 17
Clique: 3
MIR: 14
Flow cover: 59
Flow path: 2
Inf proof: 47
Explored 4652 nodes (57717 simplex iterations) in 6.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.746254
Optimal solution found (tolerance 1.00e-02)
Best objective 7.462537712724e-01, best bound 7.530952344262e-01, gap 0.9168%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw88kzzjy.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4891 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw53aezzl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4891 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.746785
Presolve removed 429 rows and 269 columns
Presolve time: 0.02s
Presolved: 866 rows, 665 columns, 3201 nonzeros
Variable types: 365 continuous, 300 integer (295 binary)
Root relaxation: objective 1.727855e+00, 768 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72785 0 60 0.74678 1.72785 131% - 0s
0 0 1.65299 0 80 0.74678 1.65299 121% - 0s
0 0 1.65160 0 75 0.74678 1.65160 121% - 0s
0 0 1.58894 0 93 0.74678 1.58894 113% - 0s
0 0 1.58772 0 92 0.74678 1.58772 113% - 0s
0 0 1.57991 0 94 0.74678 1.57991 112% - 0s
0 0 1.57589 0 92 0.74678 1.57589 111% - 0s
0 0 1.57248 0 94 0.74678 1.57248 111% - 0s
0 0 1.57243 0 92 0.74678 1.57243 111% - 0s
0 0 1.55138 0 95 0.74678 1.55138 108% - 0s
0 0 1.55113 0 96 0.74678 1.55113 108% - 0s
0 0 1.55041 0 96 0.74678 1.55041 108% - 0s
0 0 1.55041 0 96 0.74678 1.55041 108% - 0s
0 0 1.55011 0 94 0.74678 1.55011 108% - 0s
0 0 1.54943 0 90 0.74678 1.54943 107% - 0s
0 0 1.54386 0 94 0.74678 1.54386 107% - 0s
0 0 1.54286 0 97 0.74678 1.54286 107% - 0s
0 0 1.54256 0 97 0.74678 1.54256 107% - 0s
0 0 1.54256 0 97 0.74678 1.54256 107% - 0s
0 0 1.54255 0 97 0.74678 1.54255 107% - 0s
0 0 1.54255 0 59 0.74678 1.54255 107% - 0s
0 2 1.54255 0 59 0.74678 1.54255 107% - 0s
2377 619 cutoff 38 0.74678 1.01533 36.0% 13.0 5s
H 5027 911 0.7467850 0.91638 22.7% 14.2 8s
6243 491 cutoff 47 0.74678 0.85709 14.8% 14.7 10s
Cutting planes:
Gomory: 22
Cover: 5
Implied bound: 44
Projected implied bound: 31
Clique: 1
MIR: 14
Flow cover: 75
Flow path: 2
Inf proof: 105
Explored 7367 nodes (108243 simplex iterations) in 11.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.746785 0.746785
Optimal solution found (tolerance 1.00e-02)
Best objective 7.467849563855e-01, best bound 7.467849563855e-01, gap 0.0000%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr1ee75np.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 5068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnb5sd6rd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 5068 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.742002
Presolve removed 442 rows and 277 columns
Presolve time: 0.03s
Presolved: 899 rows, 690 columns, 3324 nonzeros
Variable types: 379 continuous, 311 integer (306 binary)
Root relaxation: objective 1.706409e+00, 807 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70641 0 66 0.74200 1.70641 130% - 0s
0 0 1.63307 0 73 0.74200 1.63307 120% - 0s
0 0 1.63253 0 76 0.74200 1.63253 120% - 0s
0 0 1.57714 0 92 0.74200 1.57714 113% - 0s
0 0 1.57289 0 91 0.74200 1.57289 112% - 0s
0 0 1.56968 0 96 0.74200 1.56968 112% - 0s
0 0 1.56942 0 92 0.74200 1.56942 112% - 0s
0 0 1.56861 0 96 0.74200 1.56861 111% - 0s
0 0 1.56844 0 96 0.74200 1.56844 111% - 0s
0 0 1.55980 0 91 0.74200 1.55980 110% - 0s
0 0 1.54844 0 94 0.74200 1.54844 109% - 0s
0 0 1.54488 0 100 0.74200 1.54488 108% - 0s
0 0 1.54283 0 96 0.74200 1.54283 108% - 0s
0 0 1.54221 0 95 0.74200 1.54221 108% - 0s
0 0 1.54158 0 99 0.74200 1.54158 108% - 0s
0 0 1.54014 0 103 0.74200 1.54014 108% - 0s
0 0 1.54001 0 97 0.74200 1.54001 108% - 0s
0 0 1.53899 0 98 0.74200 1.53899 107% - 0s
0 0 1.53890 0 99 0.74200 1.53890 107% - 0s
0 0 1.53870 0 101 0.74200 1.53870 107% - 0s
0 0 1.53870 0 102 0.74200 1.53870 107% - 0s
0 0 1.53627 0 99 0.74200 1.53627 107% - 0s
0 0 1.53322 0 99 0.74200 1.53322 107% - 0s
0 0 1.53322 0 97 0.74200 1.53322 107% - 0s
0 0 1.53322 0 98 0.74200 1.53322 107% - 0s
0 0 1.53292 0 97 0.74200 1.53292 107% - 0s
0 0 1.53292 0 75 0.74200 1.53292 107% - 0s
0 2 1.53292 0 73 0.74200 1.53292 107% - 0s
5259 1036 0.94032 24 48 0.74200 0.94032 26.7% 8.9 5s
12255 662 infeasible 53 0.74200 0.78564 5.88% 8.1 10s
Cutting planes:
Gomory: 2
Cover: 1
Implied bound: 9
MIR: 7
Flow cover: 16
Inf proof: 2
Explored 14077 nodes (115186 simplex iterations) in 11.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.742002
Optimal solution found (tolerance 1.00e-02)
Best objective 7.420018056686e-01, best bound 7.420018056686e-01, gap 0.0000%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzc62fp8f.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 5245 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2xmt3war.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 5245 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.757042
Presolve removed 455 rows and 285 columns
Presolve time: 0.02s
Presolved: 932 rows, 715 columns, 3447 nonzeros
Variable types: 393 continuous, 322 integer (317 binary)
Root relaxation: objective 1.675583e+00, 830 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67558 0 69 0.75704 1.67558 121% - 0s
0 0 1.60491 0 80 0.75704 1.60491 112% - 0s
0 0 1.60440 0 77 0.75704 1.60440 112% - 0s
0 0 1.55458 0 90 0.75704 1.55458 105% - 0s
0 0 1.55013 0 91 0.75704 1.55013 105% - 0s
0 0 1.54694 0 94 0.75704 1.54694 104% - 0s
0 0 1.54693 0 95 0.75704 1.54693 104% - 0s
0 0 1.54685 0 98 0.75704 1.54685 104% - 0s
0 0 1.54685 0 97 0.75704 1.54685 104% - 0s
0 0 1.54521 0 94 0.75704 1.54521 104% - 0s
0 0 1.54024 0 93 0.75704 1.54024 103% - 0s
0 0 1.53980 0 96 0.75704 1.53980 103% - 0s
0 0 1.53911 0 94 0.75704 1.53911 103% - 0s
0 0 1.53810 0 94 0.75704 1.53810 103% - 0s
0 0 1.52428 0 95 0.75704 1.52428 101% - 0s
0 0 1.52133 0 94 0.75704 1.52133 101% - 0s
0 0 1.51418 0 94 0.75704 1.51418 100% - 0s
0 0 1.51398 0 95 0.75704 1.51398 100% - 0s
0 0 1.51286 0 95 0.75704 1.51286 100% - 0s
0 0 1.51272 0 96 0.75704 1.51272 100% - 0s
0 0 1.51233 0 96 0.75704 1.51233 100% - 0s
0 0 1.51233 0 96 0.75704 1.51233 100% - 0s
0 0 1.51164 0 97 0.75704 1.51164 100% - 0s
0 0 1.51164 0 97 0.75704 1.51164 100% - 0s
0 0 1.51162 0 97 0.75704 1.51162 100% - 0s
0 0 1.51162 0 97 0.75704 1.51162 100% - 0s
0 0 1.51162 0 97 0.75704 1.51162 100% - 0s
0 0 1.51162 0 69 0.75704 1.51162 100% - 0s
0 2 1.51162 0 68 0.75704 1.51162 100% - 0s
2448 542 0.93281 44 49 0.75704 0.98759 30.5% 13.6 5s
6699 511 cutoff 39 0.75704 0.86183 13.8% 13.9 10s
Cutting planes:
Learned: 1
Gomory: 16
Cover: 4
Implied bound: 42
Projected implied bound: 32
Clique: 1
MIR: 22
Flow cover: 74
Flow path: 1
Inf proof: 76
Explored 7636 nodes (104125 simplex iterations) in 11.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.757042
Optimal solution found (tolerance 1.00e-02)
Best objective 7.570419669896e-01, best bound 7.570419669896e-01, gap 0.0000%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjhmbsvk1.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 5422 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj51l5nco.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 5422 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.767883
Presolve removed 468 rows and 293 columns
Presolve time: 0.02s
Presolved: 965 rows, 740 columns, 3570 nonzeros
Variable types: 407 continuous, 333 integer (328 binary)
Root relaxation: objective 1.653913e+00, 869 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65391 0 69 0.76788 1.65391 115% - 0s
0 0 1.58240 0 73 0.76788 1.58240 106% - 0s
0 0 1.58189 0 75 0.76788 1.58189 106% - 0s
0 0 1.53009 0 93 0.76788 1.53009 99.3% - 0s
0 0 1.52855 0 89 0.76788 1.52855 99.1% - 0s
0 0 1.52715 0 95 0.76788 1.52715 98.9% - 0s
0 0 1.52714 0 95 0.76788 1.52714 98.9% - 0s
0 0 1.52301 0 89 0.76788 1.52301 98.3% - 0s
0 0 1.52078 0 89 0.76788 1.52078 98.0% - 0s
0 0 1.50923 0 93 0.76788 1.50923 96.5% - 0s
0 0 1.50858 0 94 0.76788 1.50858 96.5% - 0s
0 0 1.50793 0 96 0.76788 1.50793 96.4% - 0s
0 0 1.50610 0 96 0.76788 1.50610 96.1% - 0s
0 0 1.50549 0 95 0.76788 1.50549 96.1% - 0s
0 0 1.50549 0 95 0.76788 1.50549 96.1% - 0s
0 0 1.50514 0 93 0.76788 1.50514 96.0% - 0s
0 0 1.50514 0 93 0.76788 1.50514 96.0% - 0s
0 0 1.50510 0 93 0.76788 1.50510 96.0% - 0s
0 0 1.50510 0 67 0.76788 1.50510 96.0% - 0s
0 2 1.50510 0 67 0.76788 1.50510 96.0% - 0s
5146 1118 0.84666 45 28 0.76788 0.94182 22.7% 9.0 5s
Cutting planes:
Learned: 1
Gomory: 2
Cover: 1
Implied bound: 7
MIR: 9
Flow cover: 14
Flow path: 2
Inf proof: 3
Explored 8213 nodes (72991 simplex iterations) in 7.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.767883
Optimal solution found (tolerance 1.00e-02)
Best objective 7.678828669451e-01, best bound 7.678828669451e-01, gap 0.0000%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp19t9tun9.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 5599 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvy51zoam.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 5599 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.759292
Presolve removed 481 rows and 301 columns
Presolve time: 0.02s
Presolved: 998 rows, 765 columns, 3693 nonzeros
Variable types: 421 continuous, 344 integer (339 binary)
Root relaxation: objective 1.626768e+00, 850 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62677 0 69 0.75929 1.62677 114% - 0s
0 0 1.56431 0 84 0.75929 1.56431 106% - 0s
0 0 1.56316 0 80 0.75929 1.56316 106% - 0s
0 0 1.51063 0 99 0.75929 1.51063 99.0% - 0s
0 0 1.50742 0 99 0.75929 1.50742 98.5% - 0s
0 0 1.50197 0 98 0.75929 1.50197 97.8% - 0s
0 0 1.49831 0 102 0.75929 1.49831 97.3% - 0s
0 0 1.49126 0 100 0.75929 1.49126 96.4% - 0s
0 0 1.49079 0 105 0.75929 1.49079 96.3% - 0s
0 0 1.47567 0 99 0.75929 1.47567 94.3% - 0s
0 0 1.47162 0 99 0.75929 1.47162 93.8% - 0s
0 0 1.47108 0 104 0.75929 1.47108 93.7% - 0s
0 0 1.47097 0 104 0.75929 1.47097 93.7% - 0s
0 0 1.47080 0 108 0.75929 1.47080 93.7% - 0s
0 0 1.47080 0 108 0.75929 1.47080 93.7% - 0s
0 0 1.46800 0 108 0.75929 1.46800 93.3% - 0s
0 0 1.46797 0 106 0.75929 1.46797 93.3% - 0s
0 0 1.46436 0 106 0.75929 1.46436 92.9% - 0s
0 0 1.46381 0 106 0.75929 1.46381 92.8% - 0s
0 0 1.45943 0 108 0.75929 1.45943 92.2% - 0s
0 0 1.45621 0 109 0.75929 1.45621 91.8% - 0s
0 0 1.45481 0 106 0.75929 1.45481 91.6% - 0s
0 0 1.45399 0 111 0.75929 1.45399 91.5% - 0s
0 0 1.45050 0 109 0.75929 1.45050 91.0% - 0s
0 0 1.44808 0 106 0.75929 1.44808 90.7% - 0s
0 0 1.44676 0 103 0.75929 1.44676 90.5% - 0s
0 0 1.44658 0 104 0.75929 1.44658 90.5% - 0s
0 0 1.44498 0 103 0.75929 1.44498 90.3% - 0s
0 0 1.44444 0 104 0.75929 1.44444 90.2% - 0s
0 0 1.44438 0 105 0.75929 1.44438 90.2% - 0s
0 0 1.44430 0 106 0.75929 1.44430 90.2% - 0s
0 0 1.44416 0 106 0.75929 1.44416 90.2% - 0s
0 0 1.44416 0 76 0.75929 1.44416 90.2% - 0s
0 2 1.44416 0 76 0.75929 1.44416 90.2% - 0s
1875 547 1.04668 29 69 0.75929 1.08146 42.4% 15.2 5s
7445 343 0.78179 56 51 0.75929 0.80597 6.15% 11.9 10s
Cutting planes:
Learned: 2
Gomory: 25
Cover: 6
Implied bound: 26
Projected implied bound: 44
MIR: 21
Flow cover: 93
Inf proof: 68
Explored 8262 nodes (98964 simplex iterations) in 11.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.759292
Optimal solution found (tolerance 1.00e-02)
Best objective 7.592924896967e-01, best bound 7.642993478384e-01, gap 0.6594%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp32kjsjhr.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5776 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7_9k9m1a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5776 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.742244
Presolve removed 494 rows and 309 columns
Presolve time: 0.03s
Presolved: 1031 rows, 790 columns, 3816 nonzeros
Variable types: 435 continuous, 355 integer (350 binary)
Root relaxation: objective 1.580291e+00, 897 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58029 0 69 0.74224 1.58029 113% - 0s
0 0 1.51678 0 85 0.74224 1.51678 104% - 0s
0 0 1.51633 0 85 0.74224 1.51633 104% - 0s
0 0 1.47108 0 96 0.74224 1.47108 98.2% - 0s
0 0 1.46699 0 95 0.74224 1.46699 97.6% - 0s
0 0 1.46430 0 94 0.74224 1.46430 97.3% - 0s
0 0 1.46430 0 94 0.74224 1.46430 97.3% - 0s
0 0 1.46182 0 97 0.74224 1.46182 96.9% - 0s
0 0 1.45612 0 96 0.74224 1.45612 96.2% - 0s
0 0 1.45510 0 95 0.74224 1.45510 96.0% - 0s
0 0 1.45208 0 96 0.74224 1.45208 95.6% - 0s
0 0 1.45065 0 99 0.74224 1.45065 95.4% - 0s
0 0 1.45020 0 99 0.74224 1.45020 95.4% - 0s
0 0 1.43666 0 96 0.74224 1.43666 93.6% - 0s
0 0 1.43423 0 94 0.74224 1.43423 93.2% - 0s
0 0 1.43304 0 95 0.74224 1.43304 93.1% - 0s
0 0 1.43304 0 95 0.74224 1.43304 93.1% - 0s
0 0 1.43304 0 94 0.74224 1.43304 93.1% - 0s
0 0 1.43304 0 63 0.74224 1.43304 93.1% - 0s
0 2 1.43304 0 63 0.74224 1.43304 93.1% - 0s
2089 589 0.94572 34 85 0.74224 1.08699 46.4% 16.0 5s
5999 856 0.77150 42 42 0.74224 0.86167 16.1% 15.3 10s
Cutting planes:
Learned: 1
Gomory: 35
Cover: 1
Implied bound: 41
Projected implied bound: 33
MIR: 25
Flow cover: 69
Flow path: 2
Inf proof: 104
Explored 9782 nodes (134926 simplex iterations) in 14.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.742244
Optimal solution found (tolerance 1.00e-02)
Best objective 7.422443140543e-01, best bound 7.489992646608e-01, gap 0.9101%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpklan22dj.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5953 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptq1hjooc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5953 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.733412
Presolve removed 507 rows and 317 columns
Presolve time: 0.03s
Presolved: 1064 rows, 815 columns, 3939 nonzeros
Variable types: 449 continuous, 366 integer (361 binary)
Root relaxation: objective 1.606397e+00, 938 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60640 0 73 0.73341 1.60640 119% - 0s
0 0 1.54290 0 86 0.73341 1.54290 110% - 0s
0 0 1.54236 0 85 0.73341 1.54236 110% - 0s
0 0 1.49682 0 102 0.73341 1.49682 104% - 0s
0 0 1.49530 0 102 0.73341 1.49530 104% - 0s
0 0 1.49484 0 112 0.73341 1.49484 104% - 0s
0 0 1.49453 0 111 0.73341 1.49453 104% - 0s
0 0 1.49376 0 113 0.73341 1.49376 104% - 0s
0 0 1.48947 0 110 0.73341 1.48947 103% - 0s
0 0 1.48553 0 111 0.73341 1.48553 103% - 0s
0 0 1.48112 0 113 0.73341 1.48112 102% - 0s
0 0 1.47945 0 107 0.73341 1.47945 102% - 0s
0 0 1.47808 0 115 0.73341 1.47808 102% - 0s
0 0 1.47561 0 111 0.73341 1.47561 101% - 0s
0 0 1.47256 0 109 0.73341 1.47256 101% - 0s
0 0 1.47238 0 110 0.73341 1.47238 101% - 0s
0 0 1.47238 0 111 0.73341 1.47238 101% - 0s
0 0 1.47237 0 114 0.73341 1.47237 101% - 0s
0 0 1.47237 0 113 0.73341 1.47237 101% - 0s
0 0 1.47237 0 82 0.73341 1.47237 101% - 0s
0 2 1.47237 0 82 0.73341 1.47237 101% - 0s
1738 653 0.80653 20 72 0.73341 1.14340 55.9% 15.4 5s
* 2313 664 109 0.7334480 1.08595 48.1% 15.0 6s
6314 1635 infeasible 50 0.73345 0.89591 22.1% 13.0 10s
10361 1184 infeasible 44 0.73345 0.81204 10.7% 12.4 15s
Cutting planes:
Gomory: 26
Cover: 5
Implied bound: 32
Projected implied bound: 38
Clique: 1
MIR: 17
Flow cover: 110
Flow path: 1
Inf proof: 124
Explored 12910 nodes (157301 simplex iterations) in 17.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.733448 0.733412
Optimal solution found (tolerance 1.00e-02)
Best objective 7.334479779851e-01, best bound 7.373002201367e-01, gap 0.5252%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcdrbtwr0.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 6130 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppnf5upph.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 6130 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.723488
Presolve removed 520 rows and 325 columns
Presolve time: 0.04s
Presolved: 1097 rows, 840 columns, 4062 nonzeros
Variable types: 463 continuous, 377 integer (372 binary)
Root relaxation: objective 1.576552e+00, 953 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57655 0 73 0.72349 1.57655 118% - 0s
0 0 1.51483 0 88 0.72349 1.51483 109% - 0s
0 0 1.51425 0 91 0.72349 1.51425 109% - 0s
0 0 1.46939 0 111 0.72349 1.46939 103% - 0s
0 0 1.46827 0 110 0.72349 1.46827 103% - 0s
0 0 1.46777 0 114 0.72349 1.46777 103% - 0s
0 0 1.46771 0 113 0.72349 1.46771 103% - 0s
0 0 1.46332 0 116 0.72349 1.46332 102% - 0s
0 0 1.45954 0 115 0.72349 1.45954 102% - 0s
0 0 1.45503 0 115 0.72349 1.45503 101% - 0s
0 0 1.45459 0 116 0.72349 1.45459 101% - 0s
0 0 1.45430 0 118 0.72349 1.45430 101% - 0s
0 0 1.45420 0 116 0.72349 1.45420 101% - 0s
0 0 1.45373 0 117 0.72349 1.45373 101% - 0s
0 0 1.45229 0 115 0.72349 1.45229 101% - 0s
0 0 1.43616 0 112 0.72349 1.43616 98.5% - 0s
0 0 1.43593 0 113 0.72349 1.43593 98.5% - 0s
0 0 1.43384 0 117 0.72349 1.43384 98.2% - 0s
0 0 1.43382 0 117 0.72349 1.43382 98.2% - 0s
0 0 1.43163 0 115 0.72349 1.43163 97.9% - 0s
0 0 1.43155 0 115 0.72349 1.43155 97.9% - 0s
0 0 1.43111 0 116 0.72349 1.43111 97.8% - 0s
0 0 1.43111 0 116 0.72349 1.43111 97.8% - 0s
0 0 1.43111 0 80 0.72349 1.43111 97.8% - 0s
0 2 1.43111 0 79 0.72349 1.43111 97.8% - 0s
1415 556 cutoff 52 0.72349 1.15016 59.0% 15.7 5s
5485 1091 0.81701 48 50 0.72349 0.86920 20.1% 14.6 10s
9410 1187 0.79203 50 39 0.72349 0.80127 10.8% 13.6 15s
Cutting planes:
Gomory: 31
Cover: 3
Implied bound: 37
Projected implied bound: 38
Clique: 1
MIR: 18
Flow cover: 120
Flow path: 1
Inf proof: 122
Network: 1
Explored 12172 nodes (165179 simplex iterations) in 18.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.723488
Optimal solution found (tolerance 1.00e-02)
Best objective 7.234878247927e-01, best bound 7.298953644871e-01, gap 0.8856%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp55n8skd1.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 6307 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyjjh_zj_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 6307 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.717721
Presolve removed 533 rows and 333 columns
Presolve time: 0.03s
Presolved: 1130 rows, 865 columns, 4185 nonzeros
Variable types: 477 continuous, 388 integer (383 binary)
Root relaxation: objective 1.549013e+00, 991 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54901 0 73 0.71772 1.54901 116% - 0s
0 0 1.49517 0 91 0.71772 1.49517 108% - 0s
0 0 1.49415 0 88 0.71772 1.49415 108% - 0s
0 0 1.44757 0 117 0.71772 1.44757 102% - 0s
0 0 1.44470 0 114 0.71772 1.44470 101% - 0s
0 0 1.43832 0 109 0.71772 1.43832 100% - 0s
0 0 1.43608 0 106 0.71772 1.43608 100% - 0s
0 0 1.42132 0 111 0.71772 1.42132 98.0% - 0s
0 0 1.42056 0 112 0.71772 1.42056 97.9% - 0s
0 0 1.41883 0 114 0.71772 1.41883 97.7% - 0s
0 0 1.41571 0 113 0.71772 1.41571 97.3% - 0s
0 0 1.41477 0 109 0.71772 1.41477 97.1% - 0s
0 0 1.41404 0 111 0.71772 1.41404 97.0% - 0s
0 0 1.41076 0 116 0.71772 1.41076 96.6% - 0s
0 0 1.40965 0 110 0.71772 1.40965 96.4% - 0s
0 0 1.40956 0 112 0.71772 1.40956 96.4% - 0s
0 0 1.40952 0 112 0.71772 1.40952 96.4% - 0s
0 0 1.40949 0 113 0.71772 1.40949 96.4% - 0s
0 0 1.40711 0 118 0.71772 1.40711 96.1% - 0s
0 0 1.39496 0 109 0.71772 1.39496 94.4% - 0s
0 0 1.39194 0 110 0.71772 1.39194 93.9% - 0s
0 0 1.39160 0 110 0.71772 1.39160 93.9% - 0s
0 0 1.39149 0 113 0.71772 1.39149 93.9% - 0s
0 0 1.39072 0 111 0.71772 1.39072 93.8% - 0s
0 0 1.39072 0 111 0.71772 1.39072 93.8% - 0s
0 0 1.38877 0 115 0.71772 1.38877 93.5% - 0s
0 0 1.38863 0 117 0.71772 1.38863 93.5% - 0s
0 0 1.38844 0 116 0.71772 1.38844 93.5% - 0s
0 0 1.38823 0 116 0.71772 1.38823 93.4% - 0s
0 0 1.38823 0 115 0.71772 1.38823 93.4% - 0s
0 0 1.38823 0 83 0.71772 1.38823 93.4% - 0s
0 2 1.38823 0 83 0.71772 1.38823 93.4% - 0s
999 499 0.97109 24 67 0.71772 1.18955 65.7% 20.4 5s
4895 1308 infeasible 33 0.71772 0.93427 30.2% 15.5 10s
10543 1731 infeasible 48 0.71772 0.81644 13.8% 12.9 15s
13938 1151 infeasible 43 0.71772 0.78212 8.97% 13.1 20s
Cutting planes:
Learned: 4
Gomory: 9
Cover: 7
Implied bound: 35
Projected implied bound: 47
Clique: 1
MIR: 37
Flow cover: 110
Flow path: 1
Inf proof: 163
Explored 16131 nodes (210922 simplex iterations) in 22.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.717721
Optimal solution found (tolerance 1.00e-02)
Best objective 7.177214641055e-01, best bound 7.209312685278e-01, gap 0.4472%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb0i4vgw2.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 6484 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzf2ovwvp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 6484 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.723237
Presolve removed 546 rows and 341 columns
Presolve time: 0.03s
Presolved: 1163 rows, 890 columns, 4308 nonzeros
Variable types: 491 continuous, 399 integer (394 binary)
Root relaxation: objective 1.534078e+00, 1027 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53408 0 73 0.72324 1.53408 112% - 0s
0 0 1.48031 0 94 0.72324 1.48031 105% - 0s
0 0 1.47927 0 91 0.72324 1.47927 105% - 0s
0 0 1.43448 0 116 0.72324 1.43448 98.3% - 0s
0 0 1.43189 0 113 0.72324 1.43189 98.0% - 0s
0 0 1.42534 0 110 0.72324 1.42534 97.1% - 0s
0 0 1.42289 0 113 0.72324 1.42289 96.7% - 0s
0 0 1.41736 0 108 0.72324 1.41736 96.0% - 0s
0 0 1.41733 0 107 0.72324 1.41733 96.0% - 0s
0 0 1.41194 0 110 0.72324 1.41194 95.2% - 0s
0 0 1.40608 0 113 0.72324 1.40608 94.4% - 0s
0 0 1.40484 0 117 0.72324 1.40484 94.2% - 0s
0 0 1.40228 0 115 0.72324 1.40228 93.9% - 0s
0 0 1.40172 0 118 0.72324 1.40172 93.8% - 0s
0 0 1.40171 0 117 0.72324 1.40171 93.8% - 0s
0 0 1.39984 0 117 0.72324 1.39984 93.6% - 0s
0 0 1.39898 0 113 0.72324 1.39898 93.4% - 0s
0 0 1.39748 0 114 0.72324 1.39748 93.2% - 0s
0 0 1.39748 0 114 0.72324 1.39748 93.2% - 0s
0 0 1.39745 0 118 0.72324 1.39745 93.2% - 0s
0 0 1.39745 0 118 0.72324 1.39745 93.2% - 0s
0 0 1.39717 0 121 0.72324 1.39717 93.2% - 0s
0 0 1.39717 0 91 0.72324 1.39717 93.2% - 0s
0 2 1.39717 0 89 0.72324 1.39717 93.2% - 0s
893 549 infeasible 32 0.72324 1.15538 59.8% 18.6 5s
H 3493 974 0.7240875 1.00558 38.9% 16.3 8s
4168 1122 0.82973 41 86 0.72409 0.96773 33.6% 15.9 10s
H 6514 1423 0.7250448 0.87742 21.0% 14.2 13s
7765 1480 0.79031 59 68 0.72504 0.84527 16.6% 14.0 15s
11399 1238 cutoff 46 0.72504 0.79613 9.80% 14.3 20s
H11890 1187 0.7284527 0.78803 8.18% 14.3 21s
14337 468 cutoff 77 0.72845 0.74440 2.19% 14.0 25s
Cutting planes:
Learned: 2
Gomory: 42
Cover: 3
Implied bound: 39
Projected implied bound: 46
Clique: 2
MIR: 33
Flow cover: 128
Flow path: 2
Inf proof: 148
Explored 15029 nodes (209610 simplex iterations) in 25.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.728453 0.725045 0.724087 0.723237
Optimal solution found (tolerance 1.00e-02)
Best objective 7.284526906310e-01, best bound 7.354057350829e-01, gap 0.9545%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7xyh5g91.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 6661 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt8kixjr_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 6661 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x1804_ by 0.999999999
Presolve removed 559 rows and 349 columns
Presolve time: 0.03s
Presolved: 1196 rows, 915 columns, 4431 nonzeros
Variable types: 505 continuous, 410 integer (405 binary)
Root relaxation: objective 1.508655e+00, 1013 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50866 0 73 - 1.50866 - - 0s
Another try with MIP start
H 0 0 0.7251079 1.50866 108% - 0s
0 0 1.45924 0 92 0.72511 1.45924 101% - 0s
0 0 1.45824 0 89 0.72511 1.45824 101% - 0s
0 0 1.41026 0 113 0.72511 1.41026 94.5% - 0s
0 0 1.40774 0 109 0.72511 1.40774 94.1% - 0s
0 0 1.40180 0 107 0.72511 1.40180 93.3% - 0s
0 0 1.40009 0 109 0.72511 1.40009 93.1% - 0s
0 0 1.38526 0 111 0.72511 1.38526 91.0% - 0s
0 0 1.38495 0 112 0.72511 1.38495 91.0% - 0s
0 0 1.38319 0 115 0.72511 1.38319 90.8% - 0s
0 0 1.38029 0 115 0.72511 1.38029 90.4% - 0s
0 0 1.37880 0 112 0.72511 1.37880 90.2% - 0s
0 0 1.37858 0 116 0.72511 1.37858 90.1% - 0s
0 0 1.37725 0 112 0.72511 1.37725 89.9% - 0s
0 0 1.37582 0 113 0.72511 1.37582 89.7% - 0s
0 0 1.37518 0 119 0.72511 1.37518 89.7% - 0s
0 0 1.37374 0 114 0.72511 1.37374 89.5% - 0s
0 0 1.37298 0 119 0.72511 1.37298 89.3% - 0s
0 0 1.37298 0 119 0.72511 1.37298 89.3% - 0s
0 0 1.37298 0 117 0.72511 1.37298 89.3% - 0s
0 0 1.37298 0 117 0.72511 1.37298 89.3% - 0s
0 0 1.37298 0 80 0.72511 1.37298 89.3% - 0s
0 0 1.37298 0 83 0.72511 1.37298 89.3% - 0s
0 0 1.37296 0 89 0.72511 1.37296 89.3% - 0s
0 0 1.37296 0 88 0.72511 1.37296 89.3% - 0s
0 2 1.37296 0 86 0.72511 1.37296 89.3% - 0s
968 493 1.04118 16 107 0.72511 1.15348 59.1% 21.1 5s
* 1309 540 139 0.7286675 1.15348 58.3% 19.5 5s
4669 1109 0.83740 49 62 0.72867 0.93270 28.0% 15.7 10s
9596 1280 cutoff 62 0.72867 0.83659 14.8% 14.3 15s
13097 527 0.77503 66 59 0.72867 0.77503 6.36% 14.5 20s
H13908 287 0.7286675 0.75164 3.15% 14.5 21s
Cutting planes:
Learned: 1
Gomory: 25
Cover: 4
Implied bound: 42
Projected implied bound: 45
Clique: 1
MIR: 33
Flow cover: 145
Flow path: 2
Inf proof: 157
Zero half: 1
Explored 14440 nodes (209885 simplex iterations) in 23.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.728668 0.728668 0.725108
Optimal solution found (tolerance 1.00e-02)
Best objective 7.286675226777e-01, best bound 7.310201297204e-01, gap 0.3229%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk7khhahn.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 6838 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa5k1vrqy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 6838 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.726843
Presolve removed 572 rows and 357 columns
Presolve time: 0.03s
Presolved: 1229 rows, 940 columns, 4554 nonzeros
Variable types: 519 continuous, 421 integer (416 binary)
Root relaxation: objective 1.487511e+00, 1009 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48751 0 76 0.72684 1.48751 105% - 0s
0 0 1.43476 0 98 0.72684 1.43476 97.4% - 0s
0 0 1.43432 0 98 0.72684 1.43432 97.3% - 0s
0 0 1.39626 0 116 0.72684 1.39626 92.1% - 0s
0 0 1.39282 0 115 0.72684 1.39282 91.6% - 0s
0 0 1.39174 0 109 0.72684 1.39174 91.5% - 0s
0 0 1.39174 0 109 0.72684 1.39174 91.5% - 0s
0 0 1.38868 0 108 0.72684 1.38868 91.1% - 0s
0 0 1.38385 0 111 0.72684 1.38385 90.4% - 0s
0 0 1.38298 0 115 0.72684 1.38298 90.3% - 0s
0 0 1.38042 0 113 0.72684 1.38042 89.9% - 0s
0 0 1.37928 0 109 0.72684 1.37928 89.8% - 0s
0 0 1.37897 0 109 0.72684 1.37897 89.7% - 0s
0 0 1.36915 0 115 0.72684 1.36915 88.4% - 0s
0 0 1.36595 0 116 0.72684 1.36595 87.9% - 0s
0 0 1.36442 0 116 0.72684 1.36442 87.7% - 0s
0 0 1.36442 0 116 0.72684 1.36442 87.7% - 0s
0 0 1.36442 0 115 0.72684 1.36442 87.7% - 0s
0 0 1.36442 0 82 0.72684 1.36442 87.7% - 0s
0 2 1.36442 0 81 0.72684 1.36442 87.7% - 0s
1055 478 1.08696 18 117 0.72684 1.14575 57.6% 22.1 5s
* 2357 609 113 0.7293731 1.04471 43.2% 19.1 7s
4322 1268 0.75179 34 111 0.72937 0.95149 30.5% 17.6 10s
H 5570 1550 0.7293731 0.92012 26.2% 17.5 12s
7160 1675 0.76322 37 63 0.72937 0.87196 19.5% 16.4 15s
11937 2162 infeasible 39 0.72937 0.81993 12.4% 14.0 20s
14759 1502 infeasible 49 0.72937 0.79048 8.38% 14.5 25s
18158 120 0.73549 53 28 0.72937 0.73855 1.26% 14.5 30s
Cutting planes:
Gomory: 46
Cover: 1
Implied bound: 56
Projected implied bound: 39
Clique: 1
MIR: 34
Flow cover: 128
Flow path: 4
Inf proof: 211
Network: 1
Explored 18309 nodes (266978 simplex iterations) in 30.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.729373 0.729373 0.726843
Optimal solution found (tolerance 1.00e-02)
Best objective 7.293730681294e-01, best bound 7.354875873715e-01, gap 0.8383%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxf5v7fbi.pyomo.lp
Reading time = 0.02 seconds
x1493: 1847 rows, 1330 columns, 7015 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo7qhhh7x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 7015 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.718067
Presolve removed 585 rows and 365 columns
Presolve time: 0.04s
Presolved: 1262 rows, 965 columns, 4677 nonzeros
Variable types: 533 continuous, 432 integer (427 binary)
Root relaxation: objective 1.457298e+00, 1052 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45730 0 82 0.71807 1.45730 103% - 0s
0 0 1.40709 0 104 0.71807 1.40709 96.0% - 0s
0 0 1.40672 0 104 0.71807 1.40672 95.9% - 0s
0 0 1.36920 0 123 0.71807 1.36920 90.7% - 0s
0 0 1.36561 0 121 0.71807 1.36561 90.2% - 0s
0 0 1.36456 0 118 0.71807 1.36456 90.0% - 0s
0 0 1.36456 0 118 0.71807 1.36456 90.0% - 0s
0 0 1.36252 0 124 0.71807 1.36252 89.7% - 0s
0 0 1.35782 0 125 0.71807 1.35782 89.1% - 0s
0 0 1.35689 0 127 0.71807 1.35689 89.0% - 0s
0 0 1.35439 0 132 0.71807 1.35439 88.6% - 0s
0 0 1.35346 0 129 0.71807 1.35346 88.5% - 0s
0 0 1.35313 0 129 0.71807 1.35313 88.4% - 0s
0 0 1.34335 0 127 0.71807 1.34335 87.1% - 0s
0 0 1.34023 0 131 0.71807 1.34023 86.6% - 0s
0 0 1.33873 0 132 0.71807 1.33873 86.4% - 0s
0 0 1.33873 0 132 0.71807 1.33873 86.4% - 0s
0 0 1.33873 0 131 0.71807 1.33873 86.4% - 0s
0 0 1.33873 0 96 0.71807 1.33873 86.4% - 0s
0 2 1.33873 0 93 0.71807 1.33873 86.4% - 0s
* 596 411 131 0.7180750 1.19036 65.8% 14.9 1s
1102 583 infeasible 20 0.71807 1.16028 61.6% 17.6 5s
4919 1252 0.76669 59 57 0.71807 0.90452 26.0% 14.9 10s
9271 1783 infeasible 89 0.71807 0.82751 15.2% 13.8 15s
12343 1642 0.79108 37 59 0.71807 0.79415 10.6% 13.9 20s
15090 914 infeasible 77 0.71807 0.76152 6.05% 13.9 25s
Cutting planes:
Learned: 1
Gomory: 20
Cover: 6
Implied bound: 40
Projected implied bound: 50
MIR: 16
Flow cover: 101
Flow path: 2
Inf proof: 215
Explored 16687 nodes (230496 simplex iterations) in 27.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.718075 0.718067
Optimal solution found (tolerance 1.00e-02)
Best objective 7.180749523058e-01, best bound 7.201224223772e-01, gap 0.2851%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpme2jtcsa.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 7192 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxbwc70ng.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 7192 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.713847
Presolve removed 598 rows and 373 columns
Presolve time: 0.03s
Presolved: 1295 rows, 990 columns, 4800 nonzeros
Variable types: 547 continuous, 443 integer (438 binary)
Root relaxation: objective 1.441786e+00, 1071 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44179 0 80 0.71385 1.44179 102% - 0s
0 0 1.38939 0 94 0.71385 1.38939 94.6% - 0s
0 0 1.38903 0 94 0.71385 1.38903 94.6% - 0s
0 0 1.35026 0 122 0.71385 1.35026 89.2% - 0s
0 0 1.34904 0 117 0.71385 1.34904 89.0% - 0s
0 0 1.34797 0 127 0.71385 1.34797 88.8% - 0s
0 0 1.34797 0 126 0.71385 1.34797 88.8% - 0s
0 0 1.34481 0 120 0.71385 1.34481 88.4% - 0s
0 0 1.34311 0 119 0.71385 1.34311 88.2% - 0s
0 0 1.33437 0 126 0.71385 1.33437 86.9% - 0s
0 0 1.33388 0 127 0.71385 1.33388 86.9% - 0s
0 0 1.33349 0 133 0.71385 1.33349 86.8% - 0s
0 0 1.33211 0 133 0.71385 1.33211 86.6% - 0s
0 0 1.33163 0 132 0.71385 1.33163 86.5% - 0s
0 0 1.33163 0 132 0.71385 1.33163 86.5% - 0s
0 0 1.33147 0 134 0.71385 1.33147 86.5% - 0s
0 0 1.33147 0 134 0.71385 1.33147 86.5% - 0s
0 0 1.33146 0 133 0.71385 1.33146 86.5% - 0s
0 0 1.33146 0 101 0.71385 1.33146 86.5% - 0s
0 2 1.33146 0 100 0.71385 1.33146 86.5% - 0s
1122 578 1.04975 21 125 0.71385 1.16710 63.5% 19.6 5s
H 3766 1131 0.7158920 0.96380 34.6% 15.3 8s
4883 1500 infeasible 28 0.71589 0.93330 30.4% 14.2 10s
H 8731 2674 0.7158920 0.88448 23.5% 12.7 14s
H 8757 2676 0.7158920 0.88443 23.5% 12.7 14s
9006 2668 cutoff 34 0.71589 0.88041 23.0% 12.7 15s
13484 2720 cutoff 49 0.71589 0.82553 15.3% 12.1 20s
17556 2417 0.72068 42 100 0.71589 0.78586 9.77% 12.3 25s
20705 1557 infeasible 83 0.71589 0.74413 3.94% 12.6 30s
Cutting planes:
Gomory: 21
Cover: 2
Implied bound: 55
Projected implied bound: 48
Clique: 3
MIR: 34
Flow cover: 127
Flow path: 1
Inf proof: 238
Explored 23333 nodes (300039 simplex iterations) in 34.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.715892 0.715892 0.715892 0.713847
Optimal solution found (tolerance 1.00e-02)
Best objective 7.158919687465e-01, best bound 7.226030262985e-01, gap 0.9374%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbaf0yr0k.pyomo.lp
Reading time = 0.02 seconds
x1567: 1939 rows, 1396 columns, 7369 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxcnpsk7o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 7369 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.704035
Presolve removed 611 rows and 381 columns
Presolve time: 0.05s
Presolved: 1328 rows, 1015 columns, 4923 nonzeros
Variable types: 561 continuous, 454 integer (449 binary)
Root relaxation: objective 1.406913e+00, 1108 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40691 0 80 0.70403 1.40691 100% - 0s
0 0 1.35618 0 107 0.70403 1.35618 92.6% - 0s
0 0 1.35574 0 102 0.70403 1.35574 92.6% - 0s
0 0 1.31807 0 128 0.70403 1.31807 87.2% - 0s
0 0 1.31693 0 122 0.70403 1.31693 87.1% - 0s
0 0 1.31656 0 126 0.70403 1.31656 87.0% - 0s
0 0 1.31650 0 127 0.70403 1.31650 87.0% - 0s
0 0 1.31282 0 129 0.70403 1.31282 86.5% - 0s
0 0 1.30967 0 123 0.70403 1.30967 86.0% - 0s
0 0 1.30244 0 128 0.70403 1.30244 85.0% - 0s
0 0 1.30203 0 126 0.70403 1.30203 84.9% - 0s
0 0 1.30158 0 132 0.70403 1.30158 84.9% - 0s
0 0 1.30009 0 132 0.70403 1.30009 84.7% - 0s
0 0 1.29999 0 133 0.70403 1.29999 84.6% - 0s
0 0 1.29999 0 136 0.70403 1.29999 84.6% - 0s
0 0 1.29848 0 134 0.70403 1.29848 84.4% - 0s
0 0 1.29743 0 138 0.70403 1.29743 84.3% - 0s
0 0 1.29656 0 135 0.70403 1.29656 84.2% - 0s
0 0 1.29656 0 137 0.70403 1.29656 84.2% - 0s
0 0 1.29656 0 137 0.70403 1.29656 84.2% - 0s
0 0 1.29656 0 100 0.70403 1.29656 84.2% - 0s
0 2 1.29656 0 94 0.70403 1.29656 84.2% - 0s
797 504 1.11500 16 110 0.70403 1.11500 58.4% 20.1 5s
3303 1025 0.84970 31 115 0.70403 1.01280 43.9% 19.8 10s
7084 1636 0.83744 35 95 0.70403 0.88267 25.4% 15.6 15s
11033 2091 0.72399 61 51 0.70403 0.80282 14.0% 13.7 20s
14486 2057 infeasible 56 0.70403 0.77221 9.68% 13.8 25s
18009 842 0.73041 56 38 0.70403 0.73041 3.75% 13.7 30s
Cutting planes:
Learned: 3
Gomory: 38
Cover: 4
Implied bound: 50
Projected implied bound: 52
Clique: 2
MIR: 37
Flow cover: 141
Flow path: 3
Inf proof: 209
Explored 19729 nodes (267195 simplex iterations) in 32.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.704035
Optimal solution found (tolerance 1.00e-02)
Best objective 7.040349138012e-01, best bound 7.089171711144e-01, gap 0.6935%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfa7rdklg.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 7546 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptqsriljm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 7546 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.695899
Presolve removed 624 rows and 389 columns
Presolve time: 0.03s
Presolved: 1361 rows, 1040 columns, 5046 nonzeros
Variable types: 575 continuous, 465 integer (460 binary)
Root relaxation: objective 1.403869e+00, 1143 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40387 0 81 0.69590 1.40387 102% - 0s
0 0 1.35780 0 104 0.69590 1.35780 95.1% - 0s
0 0 1.35691 0 101 0.69590 1.35691 95.0% - 0s
0 0 1.31562 0 133 0.69590 1.31562 89.1% - 0s
0 0 1.31335 0 127 0.69590 1.31335 88.7% - 0s
0 0 1.30510 0 124 0.69590 1.30510 87.5% - 0s
0 0 1.30222 0 126 0.69590 1.30222 87.1% - 0s
0 0 1.29302 0 130 0.69590 1.29302 85.8% - 0s
0 0 1.29174 0 126 0.69590 1.29174 85.6% - 0s
0 0 1.28922 0 135 0.69590 1.28922 85.3% - 0s
0 0 1.28916 0 133 0.69590 1.28916 85.3% - 0s
0 0 1.28507 0 131 0.69590 1.28507 84.7% - 0s
0 0 1.28488 0 130 0.69590 1.28488 84.6% - 0s
0 0 1.28485 0 133 0.69590 1.28485 84.6% - 0s
0 0 1.28475 0 133 0.69590 1.28475 84.6% - 0s
0 0 1.28475 0 100 0.69590 1.28475 84.6% - 0s
0 2 1.28475 0 95 0.69590 1.28475 84.6% - 0s
798 515 1.17965 10 128 0.69590 1.18292 70.0% 20.9 5s
H 2089 614 0.6968131 1.05691 51.7% 24.1 9s
2160 584 0.86117 50 92 0.69681 1.05363 51.2% 23.8 10s
5849 1582 infeasible 39 0.69681 0.88986 27.7% 17.8 15s
H 7287 1734 0.6991795 0.85635 22.5% 16.8 17s
9130 2124 0.71273 101 30 0.69918 0.82820 18.5% 15.3 20s
13309 2836 infeasible 42 0.69918 0.79815 14.2% 14.4 25s
16320 2549 0.77489 38 71 0.69918 0.77660 11.1% 14.6 30s
19171 1915 infeasible 46 0.69918 0.75457 7.92% 14.9 35s
22294 523 0.70594 52 33 0.69918 0.71554 2.34% 14.7 40s
*22882 96 74 0.6996391 0.70629 0.95% 14.6 40s
*22925 97 73 0.6997835 0.70455 0.68% 14.6 40s
Cutting planes:
Learned: 1
Gomory: 41
Cover: 2
Implied bound: 38
Projected implied bound: 42
MIR: 32
Flow cover: 148
Inf proof: 242
Explored 22937 nodes (337185 simplex iterations) in 40.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.699784 0.699639 0.699179 ... 0.695899
Optimal solution found (tolerance 1.00e-02)
Best objective 6.997835315402e-01, best bound 7.038397172263e-01, gap 0.5796%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnuyl8lfx.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 7723 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkbyisah6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 7723 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.691248
Presolve removed 637 rows and 397 columns
Presolve time: 0.04s
Presolved: 1394 rows, 1065 columns, 5169 nonzeros
Variable types: 589 continuous, 476 integer (471 binary)
Root relaxation: objective 1.384777e+00, 1097 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38478 0 80 0.69125 1.38478 100% - 0s
0 0 1.33981 0 106 0.69125 1.33981 93.8% - 0s
0 0 1.33894 0 103 0.69125 1.33894 93.7% - 0s
0 0 1.29900 0 135 0.69125 1.29900 87.9% - 0s
0 0 1.29683 0 138 0.69125 1.29683 87.6% - 0s
0 0 1.28798 0 137 0.69125 1.28798 86.3% - 0s
0 0 1.28536 0 136 0.69125 1.28536 85.9% - 0s
0 0 1.27721 0 141 0.69125 1.27721 84.8% - 0s
0 0 1.27704 0 144 0.69125 1.27704 84.7% - 0s
0 0 1.27409 0 146 0.69125 1.27409 84.3% - 0s
0 0 1.27375 0 147 0.69125 1.27375 84.3% - 0s
0 0 1.27322 0 148 0.69125 1.27322 84.2% - 0s
0 0 1.27275 0 149 0.69125 1.27275 84.1% - 0s
0 0 1.26971 0 143 0.69125 1.26971 83.7% - 0s
0 0 1.26970 0 142 0.69125 1.26970 83.7% - 0s
0 0 1.26951 0 139 0.69125 1.26951 83.7% - 0s
0 0 1.26949 0 143 0.69125 1.26949 83.7% - 0s
0 0 1.26880 0 144 0.69125 1.26880 83.6% - 0s
0 0 1.26879 0 144 0.69125 1.26879 83.6% - 0s
0 0 1.26870 0 146 0.69125 1.26870 83.5% - 0s
0 0 1.26860 0 145 0.69125 1.26860 83.5% - 0s
0 0 1.26860 0 102 0.69125 1.26860 83.5% - 0s
0 2 1.26860 0 102 0.69125 1.26860 83.5% - 0s
765 540 1.14307 13 107 0.69125 1.14307 65.4% 21.4 5s
* 1626 671 155 0.6914781 1.05993 53.3% 19.2 7s
2997 943 0.77515 52 112 0.69148 0.98263 42.1% 18.1 10s
8062 2393 infeasible 44 0.69148 0.88478 28.0% 12.9 15s
12111 2569 cutoff 47 0.69148 0.82275 19.0% 12.3 20s
15733 3210 infeasible 64 0.69148 0.79832 15.5% 12.2 25s
19191 3335 0.69277 72 58 0.69148 0.78268 13.2% 12.7 30s
22692 2817 infeasible 45 0.69148 0.75560 9.27% 13.2 35s
25370 1965 infeasible 87 0.69148 0.72983 5.55% 13.5 40s
28799 683 infeasible 95 0.69148 0.70151 1.45% 13.4 45s
Cutting planes:
Learned: 1
Gomory: 17
Cover: 5
Implied bound: 38
Projected implied bound: 44
Clique: 1
MIR: 38
Flow cover: 120
Flow path: 1
Inf proof: 324
Explored 29326 nodes (394095 simplex iterations) in 45.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.691478 0.691248
Optimal solution found (tolerance 1.00e-02)
Best objective 6.914780599673e-01, best bound 6.982547412008e-01, gap 0.9800%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvvtrbizz.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 7900 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0ijx5ark.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 7900 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.677342
Presolve removed 650 rows and 405 columns
Presolve time: 0.04s
Presolved: 1427 rows, 1090 columns, 5292 nonzeros
Variable types: 603 continuous, 487 integer (482 binary)
Root relaxation: objective 1.353671e+00, 1298 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35367 0 81 0.67734 1.35367 100% - 0s
0 0 1.30835 0 107 0.67734 1.30835 93.2% - 0s
0 0 1.30798 0 109 0.67734 1.30798 93.1% - 0s
0 0 1.27508 0 128 0.67734 1.27508 88.2% - 0s
0 0 1.27210 0 124 0.67734 1.27210 87.8% - 0s
0 0 1.27122 0 123 0.67734 1.27122 87.7% - 0s
0 0 1.27121 0 123 0.67734 1.27121 87.7% - 0s
0 0 1.26871 0 118 0.67734 1.26871 87.3% - 0s
0 0 1.26453 0 125 0.67734 1.26453 86.7% - 0s
0 0 1.26378 0 130 0.67734 1.26378 86.6% - 0s
0 0 1.26156 0 125 0.67734 1.26156 86.3% - 0s
0 0 1.26056 0 122 0.67734 1.26056 86.1% - 0s
0 0 1.25927 0 122 0.67734 1.25927 85.9% - 0s
0 0 1.25923 0 127 0.67734 1.25923 85.9% - 0s
0 0 1.25923 0 128 0.67734 1.25923 85.9% - 0s
0 0 1.25923 0 128 0.67734 1.25923 85.9% - 0s
0 0 1.25923 0 128 0.67734 1.25923 85.9% - 0s
0 0 1.25814 0 128 0.67734 1.25814 85.7% - 0s
0 0 1.25814 0 130 0.67734 1.25814 85.7% - 0s
0 0 1.25814 0 128 0.67734 1.25814 85.7% - 0s
0 0 1.25814 0 95 0.67734 1.25814 85.7% - 0s
0 0 1.25814 0 95 0.67734 1.25814 85.7% - 0s
0 0 1.25814 0 98 0.67734 1.25814 85.7% - 0s
0 0 1.25814 0 98 0.67734 1.25814 85.7% - 0s
0 2 1.25814 0 97 0.67734 1.25814 85.7% - 0s
762 492 1.12085 16 121 0.67734 1.12085 65.5% 22.1 5s
2763 755 0.95014 30 137 0.67734 1.00374 48.2% 23.1 10s
5230 1643 0.83221 54 91 0.67734 0.94470 39.5% 21.5 15s
9565 2485 infeasible 62 0.67734 0.86076 27.1% 17.5 20s
12947 2982 0.74551 63 62 0.67734 0.81863 20.9% 15.3 25s
16486 2870 infeasible 56 0.67734 0.76661 13.2% 14.3 30s
20061 2530 infeasible 67 0.67734 0.74156 9.48% 14.0 35s
23553 1452 infeasible 68 0.67734 0.70751 4.45% 13.8 40s
Cutting planes:
Gomory: 33
Cover: 6
Implied bound: 35
Projected implied bound: 62
MIR: 30
Flow cover: 132
Flow path: 1
Inf proof: 263
Network: 1
Explored 26660 nodes (366355 simplex iterations) in 43.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.677342
Optimal solution found (tolerance 1.00e-02)
Best objective 6.773423533640e-01, best bound 6.835968217045e-01, gap 0.9234%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw7_9z3eu.pyomo.lp
Reading time = 0.02 seconds
x1715: 2123 rows, 1528 columns, 8077 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbsaqch81.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 8077 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.669343
Presolve removed 663 rows and 413 columns
Presolve time: 0.06s
Presolved: 1460 rows, 1115 columns, 5415 nonzeros
Variable types: 617 continuous, 498 integer (493 binary)
Root relaxation: objective 1.348762e+00, 1135 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34876 0 83 0.66934 1.34876 102% - 0s
0 0 1.30216 0 106 0.66934 1.30216 94.5% - 0s
0 0 1.30185 0 104 0.66934 1.30185 94.5% - 0s
0 0 1.28061 0 134 0.66934 1.28061 91.3% - 0s
0 0 1.26691 0 129 0.66934 1.26691 89.3% - 0s
0 0 1.26520 0 137 0.66934 1.26520 89.0% - 0s
0 0 1.26519 0 137 0.66934 1.26519 89.0% - 0s
0 0 1.26015 0 135 0.66934 1.26015 88.3% - 0s
0 0 1.25933 0 134 0.66934 1.25933 88.1% - 0s
0 0 1.25550 0 135 0.66934 1.25550 87.6% - 0s
0 0 1.25401 0 143 0.66934 1.25401 87.3% - 0s
0 0 1.25204 0 147 0.66934 1.25204 87.1% - 0s
0 0 1.25188 0 149 0.66934 1.25188 87.0% - 0s
0 0 1.25107 0 148 0.66934 1.25107 86.9% - 0s
0 0 1.25107 0 151 0.66934 1.25107 86.9% - 0s
0 0 1.25104 0 153 0.66934 1.25104 86.9% - 0s
0 0 1.25104 0 111 0.66934 1.25104 86.9% - 0s
0 2 1.25104 0 108 0.66934 1.25104 86.9% - 0s
754 516 0.83242 74 151 0.66934 1.09353 63.4% 15.4 5s
2084 725 infeasible 26 0.66934 0.99304 48.4% 23.4 10s
3909 1307 0.90420 25 117 0.66934 0.92915 38.8% 21.5 15s
8230 2659 cutoff 45 0.66934 0.83184 24.3% 16.3 20s
12024 3719 0.72332 56 81 0.66934 0.80808 20.7% 15.4 25s
14078 4070 0.68071 52 74 0.66934 0.79792 19.2% 15.1 30s
17011 4278 infeasible 63 0.66934 0.78338 17.0% 14.8 35s
19704 4139 0.69578 52 100 0.66934 0.76878 14.9% 14.8 40s
22133 3636 infeasible 52 0.66934 0.74892 11.9% 14.9 45s
24770 2815 infeasible 67 0.66934 0.72088 7.70% 14.8 50s
26069 2929 0.70910 79 111 0.66934 0.71318 6.55% 14.6 66s
26079 2936 0.69487 68 190 0.66934 0.71318 6.55% 14.6 70s
26085 2940 0.69286 59 198 0.66934 0.71318 6.55% 14.6 76s
26089 2942 0.69754 54 199 0.66934 0.71318 6.55% 14.6 81s
26096 2947 0.70258 55 206 0.66934 0.71318 6.55% 14.6 85s
26101 2950 0.68513 71 195 0.66934 0.71318 6.55% 14.6 90s
26106 2954 0.69603 74 199 0.66934 0.71318 6.55% 14.6 95s
26112 2958 0.67093 70 201 0.66934 0.71318 6.55% 14.6 100s
26117 2961 0.69358 66 197 0.66934 0.71318 6.55% 14.6 106s
26122 2964 0.70778 39 183 0.66934 0.71318 6.55% 14.6 110s
26128 2968 0.70399 70 178 0.66934 0.71318 6.55% 14.6 116s
26132 2971 0.68677 51 194 0.66934 0.71318 6.55% 14.6 120s
26136 2974 0.69915 52 188 0.66934 0.71318 6.55% 14.6 125s
26143 2978 0.67190 80 194 0.66934 0.71318 6.55% 14.6 130s
26150 2983 0.71307 47 194 0.66934 0.71318 6.55% 14.6 135s
26156 2987 0.68500 52 179 0.66934 0.71318 6.55% 14.6 140s
Cutting planes:
Learned: 4
Gomory: 90
Cover: 9
Implied bound: 13
Projected implied bound: 18
Clique: 10
MIR: 52
StrongCG: 2
Flow cover: 250
Inf proof: 18
Explored 26157 nodes (402113 simplex iterations) in 141.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.669343
Optimal solution found (tolerance 1.00e-02)
Best objective 6.693430890448e-01, best bound 6.693430890448e-01, gap 0.0000%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppqtrntv0.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 8254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0xx6ou2w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 8254 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.661572
Presolve removed 676 rows and 421 columns
Presolve time: 0.04s
Presolved: 1493 rows, 1140 columns, 5538 nonzeros
Variable types: 631 continuous, 509 integer (504 binary)
Root relaxation: objective 1.331667e+00, 1166 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33167 0 85 0.66157 1.33167 101% - 0s
0 0 1.28823 0 120 0.66157 1.28823 94.7% - 0s
0 0 1.28788 0 119 0.66157 1.28788 94.7% - 0s
0 0 1.25710 0 137 0.66157 1.25710 90.0% - 0s
0 0 1.25390 0 131 0.66157 1.25390 89.5% - 0s
0 0 1.25321 0 131 0.66157 1.25321 89.4% - 0s
0 0 1.25313 0 131 0.66157 1.25313 89.4% - 0s
0 0 1.25271 0 130 0.66157 1.25271 89.4% - 0s
0 0 1.25271 0 131 0.66157 1.25271 89.4% - 0s
0 0 1.24959 0 134 0.66157 1.24959 88.9% - 0s
0 0 1.24429 0 139 0.66157 1.24429 88.1% - 0s
0 0 1.24335 0 142 0.66157 1.24335 87.9% - 0s
0 0 1.24205 0 141 0.66157 1.24205 87.7% - 0s
0 0 1.24174 0 140 0.66157 1.24174 87.7% - 0s
0 0 1.24174 0 140 0.66157 1.24174 87.7% - 0s
0 0 1.24071 0 140 0.66157 1.24071 87.5% - 0s
0 0 1.24043 0 140 0.66157 1.24043 87.5% - 0s
0 0 1.24043 0 140 0.66157 1.24043 87.5% - 0s
0 0 1.24043 0 107 0.66157 1.24043 87.5% - 0s
0 2 1.24043 0 107 0.66157 1.24043 87.5% - 0s
778 513 1.09304 12 125 0.66157 1.13226 71.1% 24.2 5s
2478 779 infeasible 37 0.66157 0.98824 49.4% 22.9 10s
5785 2221 0.89361 49 118 0.66157 0.91098 37.7% 17.4 15s
8544 3014 0.68256 64 95 0.66157 0.88694 34.1% 17.7 20s
10976 3516 0.81312 27 103 0.66157 0.87376 32.1% 18.1 25s
H12772 3690 0.6615717 0.85886 29.8% 18.4 28s
12828 3691 0.81532 55 116 0.66157 0.85807 29.7% 18.4 30s
15555 3936 0.83823 69 91 0.66157 0.83823 26.7% 18.4 35s
18215 4141 0.70636 68 66 0.66157 0.82037 24.0% 18.0 40s
20501 4246 0.68867 60 112 0.66157 0.80620 21.9% 18.0 45s
21560 4410 0.70328 64 107 0.66157 0.80172 21.2% 17.9 62s
21569 4416 0.76206 59 202 0.66157 0.80172 21.2% 17.9 65s
21577 4421 0.73378 68 206 0.66157 0.80172 21.2% 17.9 71s
21581 4424 0.71542 64 222 0.66157 0.80172 21.2% 17.9 75s
21586 4427 0.69701 65 227 0.66157 0.80172 21.2% 17.9 80s
21591 4431 0.73591 65 228 0.66157 0.80172 21.2% 17.9 85s
21597 4435 0.71590 72 225 0.66157 0.80172 21.2% 17.9 90s
21605 4440 0.70935 96 231 0.66157 0.80172 21.2% 17.9 96s
21611 4444 0.70627 63 245 0.66157 0.80172 21.2% 17.9 100s
21617 4448 0.70498 64 231 0.66157 0.80172 21.2% 17.8 105s
21622 4451 0.69633 63 240 0.66157 0.80172 21.2% 17.8 110s
21628 4455 0.70543 133 236 0.66157 0.80172 21.2% 17.8 115s
21634 4459 0.73651 69 231 0.66157 0.80172 21.2% 17.8 121s
21643 4465 0.68270 79 217 0.66157 0.80172 21.2% 17.8 125s
21647 4468 0.77851 63 229 0.66157 0.80172 21.2% 17.8 130s
21652 4471 0.69037 56 239 0.66157 0.80172 21.2% 17.8 135s
21658 4475 0.72574 73 243 0.66157 0.80172 21.2% 17.8 140s
21664 4479 0.74857 75 229 0.66157 0.80172 21.2% 17.8 145s
21670 4483 0.79805 53 240 0.66157 0.80172 21.2% 17.8 150s
21674 4486 0.73748 78 242 0.66157 0.80172 21.2% 17.8 155s
21680 4490 0.69141 82 246 0.66157 0.80172 21.2% 17.8 160s
21684 4493 0.74493 43 237 0.66157 0.80172 21.2% 17.8 166s
21689 4496 0.67930 95 241 0.66157 0.80172 21.2% 17.8 170s
21692 4498 0.67675 89 235 0.66157 0.80172 21.2% 17.8 175s
21697 4501 0.71590 72 233 0.66157 0.80172 21.2% 17.8 180s
H21698 4274 0.6615717 0.80172 21.2% 17.8 182s
21702 4277 0.73651 69 247 0.66157 0.80172 21.2% 17.8 185s
21709 4281 0.70993 70 239 0.66157 0.80172 21.2% 17.8 190s
21715 4285 0.69536 81 245 0.66157 0.80172 21.2% 17.8 195s
21721 4289 0.69275 74 255 0.66157 0.80172 21.2% 17.8 200s
21728 4294 0.70543 133 241 0.66157 0.80172 21.2% 17.8 205s
21734 4298 0.73651 69 236 0.66157 0.80172 21.2% 17.8 210s
21740 4302 0.77580 79 244 0.66157 0.80172 21.2% 17.7 215s
21745 4305 0.68623 66 239 0.66157 0.80172 21.2% 17.7 220s
21752 4310 0.69037 56 245 0.66157 0.80172 21.2% 17.7 225s
21758 4314 0.72574 73 249 0.66157 0.80172 21.2% 17.7 230s
21764 4318 0.74857 75 248 0.66157 0.80172 21.2% 17.7 235s
21770 4322 0.79805 53 242 0.66157 0.80172 21.2% 17.7 240s
21776 4326 0.76977 55 250 0.66157 0.80172 21.2% 17.7 245s
21780 4330 0.80172 21 233 0.66157 0.80172 21.2% 20.2 253s
21782 4328 infeasible 22 0.66157 0.80172 21.2% 20.2 257s
21785 4327 0.80172 24 223 0.66157 0.80172 21.2% 20.2 263s
21794 4331 0.80172 29 183 0.66157 0.80172 21.2% 20.3 265s
21899 4319 0.80172 34 193 0.66157 0.80172 21.2% 20.7 270s
22316 4334 0.68710 53 92 0.66157 0.80172 21.2% 21.6 275s
23066 4357 cutoff 42 0.66157 0.78784 19.1% 22.5 280s
24056 4327 0.70631 45 129 0.66157 0.77644 17.4% 23.3 285s
H24582 4068 0.6615717 0.77149 16.6% 23.7 288s
24804 4049 0.69398 50 133 0.66157 0.76866 16.2% 23.9 290s
25894 4049 0.70085 49 87 0.66157 0.76075 15.0% 24.3 296s
26593 4039 0.66750 57 105 0.66157 0.75572 14.2% 24.7 300s
27474 3892 0.68315 59 108 0.66157 0.74762 13.0% 25.3 305s
28459 3745 0.70361 52 112 0.66157 0.74064 12.0% 25.7 310s
29504 3484 infeasible 52 0.66157 0.73144 10.6% 26.3 316s
H29915 3216 0.6615717 0.72862 10.1% 26.4 320s
30916 2868 0.71138 53 140 0.66157 0.72233 9.18% 26.7 326s
31729 2557 0.71703 52 119 0.66157 0.71703 8.38% 26.9 330s
32946 2072 0.70872 53 88 0.66157 0.70872 7.13% 27.2 336s
33918 1764 infeasible 68 0.66157 0.70198 6.11% 27.3 340s
35403 1478 cutoff 61 0.66157 0.69274 4.71% 27.3 345s
36882 1082 infeasible 54 0.66157 0.68395 3.38% 27.2 350s
37878 711 infeasible 61 0.66157 0.67724 2.37% 27.1 355s
Cutting planes:
Learned: 2
Gomory: 131
Cover: 9
Implied bound: 60
Projected implied bound: 53
Clique: 8
MIR: 218
StrongCG: 3
Flow cover: 643
Flow path: 2
Inf proof: 143
Zero half: 1
Network: 1
Explored 38936 nodes (1046114 simplex iterations) in 358.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.661572 0.661572 0.661572 ... 0.661572
Optimal solution found (tolerance 1.00e-02)
Best objective 6.615716864772e-01, best bound 6.671330549454e-01, gap 0.8406%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp43_xdpba.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 8431 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp85hu4bdl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 8431 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.666361
Presolve removed 689 rows and 429 columns
Presolve time: 0.04s
Presolved: 1526 rows, 1165 columns, 5661 nonzeros
Variable types: 645 continuous, 520 integer (515 binary)
Root relaxation: objective 1.332437e+00, 1328 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33244 0 85 0.66636 1.33244 100% - 0s
0 0 1.29020 0 113 0.66636 1.29020 93.6% - 0s
0 0 1.28991 0 113 0.66636 1.28991 93.6% - 0s
0 0 1.25908 0 132 0.66636 1.25908 88.9% - 0s
0 0 1.25629 0 130 0.66636 1.25629 88.5% - 0s
0 0 1.25543 0 126 0.66636 1.25543 88.4% - 0s
0 0 1.25498 0 127 0.66636 1.25498 88.3% - 0s
0 0 1.25227 0 127 0.66636 1.25227 87.9% - 0s
0 0 1.24880 0 128 0.66636 1.24880 87.4% - 0s
0 0 1.24814 0 134 0.66636 1.24814 87.3% - 0s
0 0 1.24545 0 134 0.66636 1.24545 86.9% - 0s
0 0 1.24452 0 130 0.66636 1.24452 86.8% - 0s
0 0 1.24424 0 130 0.66636 1.24424 86.7% - 0s
0 0 1.23693 0 139 0.66636 1.23693 85.6% - 0s
0 0 1.23432 0 139 0.66636 1.23432 85.2% - 0s
0 0 1.23314 0 140 0.66636 1.23314 85.1% - 0s
0 0 1.23314 0 140 0.66636 1.23314 85.1% - 0s
0 0 1.23314 0 140 0.66636 1.23314 85.1% - 0s
0 0 1.23314 0 102 0.66636 1.23314 85.1% - 0s
0 0 1.23314 0 102 0.66636 1.23314 85.1% - 0s
0 0 1.23291 0 102 0.66636 1.23291 85.0% - 0s
0 0 1.23291 0 102 0.66636 1.23291 85.0% - 0s
0 2 1.23291 0 102 0.66636 1.23291 85.0% - 0s
742 501 0.91937 34 130 0.66636 1.10418 65.7% 16.0 5s
1511 625 0.91592 32 139 0.66636 1.05447 58.2% 22.4 10s
2266 661 0.91143 18 134 0.66636 0.99506 49.3% 23.4 15s
5398 1644 0.79968 40 113 0.66636 0.86076 29.2% 16.6 20s
8377 2569 cutoff 46 0.66636 0.83451 25.2% 14.7 25s
11102 3327 infeasible 40 0.66636 0.81653 22.5% 14.1 30s
12930 3670 0.80266 43 103 0.66636 0.80681 21.1% 14.1 35s
15489 4185 infeasible 31 0.66636 0.79505 19.3% 14.0 40s
17071 4432 0.73087 44 74 0.66636 0.78712 18.1% 13.9 45s
19444 4829 infeasible 63 0.66636 0.77438 16.2% 13.8 50s
H20966 5051 0.6663612 0.76775 15.2% 13.8 76s
20976 5058 0.76747 44 154 0.66636 0.76775 15.2% 13.8 81s
20980 5061 0.70061 46 193 0.66636 0.76775 15.2% 13.8 85s
20984 5063 0.74040 48 205 0.66636 0.76775 15.2% 13.8 90s
20988 5066 0.68479 77 215 0.66636 0.76775 15.2% 13.8 95s
20992 5069 0.73026 49 215 0.66636 0.76775 15.2% 13.7 101s
20995 5071 0.74055 63 209 0.66636 0.76775 15.2% 13.7 106s
20997 5072 0.68110 63 225 0.66636 0.76775 15.2% 13.7 110s
21001 5075 0.73015 67 215 0.66636 0.76775 15.2% 13.7 115s
21005 5077 0.69600 62 217 0.66636 0.76775 15.2% 13.7 121s
21010 5081 0.71869 79 231 0.66636 0.76775 15.2% 13.7 125s
21013 5083 0.75574 45 228 0.66636 0.76775 15.2% 13.7 131s
21017 5085 0.69156 55 237 0.66636 0.76775 15.2% 13.7 135s
21021 5088 0.76178 51 233 0.66636 0.76775 15.2% 13.7 142s
21023 5089 0.75545 50 235 0.66636 0.76775 15.2% 13.7 146s
21027 5092 0.74036 49 244 0.66636 0.76775 15.2% 13.7 151s
21029 5093 0.69145 71 233 0.66636 0.76775 15.2% 13.7 156s
21033 5096 0.67733 106 231 0.66636 0.76775 15.2% 13.7 162s
21035 5097 0.72752 25 238 0.66636 0.76775 15.2% 13.7 165s
21038 5099 0.73486 64 246 0.66636 0.76775 15.2% 13.7 171s
21041 5101 0.72003 51 231 0.66636 0.76775 15.2% 13.7 175s
21044 5103 0.67133 56 232 0.66636 0.76775 15.2% 13.7 181s
21046 5105 0.72999 60 239 0.66636 0.76775 15.2% 13.7 185s
21049 5107 0.69904 56 239 0.66636 0.76775 15.2% 13.7 191s
21053 5109 0.75802 36 243 0.66636 0.76775 15.2% 13.7 196s
21057 5112 0.68245 58 235 0.66636 0.76775 15.2% 13.7 201s
21060 5114 0.68056 38 243 0.66636 0.76775 15.2% 13.7 205s
21063 5116 0.67149 68 238 0.66636 0.76775 15.2% 13.7 211s
21066 5118 0.68930 59 251 0.66636 0.76775 15.2% 13.7 215s
21069 5120 0.67348 63 247 0.66636 0.76775 15.2% 13.7 220s
21073 5123 0.71494 38 239 0.66636 0.76775 15.2% 13.7 225s
21077 5125 0.70294 62 247 0.66636 0.76775 15.2% 13.7 231s
21079 5127 0.69784 68 237 0.66636 0.76775 15.2% 13.7 235s
21083 5129 0.73302 55 239 0.66636 0.76775 15.2% 13.7 241s
21085 5131 0.68529 48 243 0.66636 0.76775 15.2% 13.7 245s
21088 5133 0.68479 77 252 0.66636 0.76775 15.2% 13.7 250s
21091 5135 0.67027 57 247 0.66636 0.76775 15.2% 13.7 256s
21094 5137 0.69246 52 252 0.66636 0.76775 15.2% 13.7 260s
21098 5139 0.71608 50 253 0.66636 0.76775 15.2% 13.7 265s
21101 5141 0.73015 67 256 0.66636 0.76775 15.2% 13.7 271s
21104 5143 0.71882 64 262 0.66636 0.76775 15.2% 13.7 275s
21108 5146 0.74298 41 254 0.66636 0.76775 15.2% 13.7 281s
21111 5148 0.67118 114 251 0.66636 0.76775 15.2% 13.7 288s
21113 5149 0.75574 45 249 0.66636 0.76775 15.2% 13.7 291s
21116 5151 0.74928 40 259 0.66636 0.76775 15.2% 13.7 296s
21118 5153 0.74597 58 256 0.66636 0.76775 15.2% 13.7 301s
21121 5155 0.76178 51 257 0.66636 0.76775 15.2% 13.7 306s
21124 5157 0.69119 68 253 0.66636 0.76775 15.2% 13.7 310s
21127 5159 0.74036 49 250 0.66636 0.76775 15.2% 13.7 315s
21130 5161 0.67669 68 254 0.66636 0.76775 15.2% 13.7 320s
21133 5163 0.67733 106 252 0.66636 0.76775 15.2% 13.7 325s
21138 5166 0.73486 64 255 0.66636 0.76775 15.2% 13.7 330s
21142 5169 0.70029 59 263 0.66636 0.76775 15.2% 13.7 335s
21146 5171 0.72999 60 257 0.66636 0.76775 15.2% 13.6 340s
21150 5174 0.74283 66 259 0.66636 0.76775 15.2% 13.6 346s
21152 5175 0.67704 66 255 0.66636 0.76775 15.2% 13.6 350s
21155 5177 0.70658 73 256 0.66636 0.76775 15.2% 13.6 355s
21159 5180 0.71899 58 254 0.66636 0.76775 15.2% 13.6 361s
21162 5182 0.75415 42 257 0.66636 0.76775 15.2% 13.6 366s
21165 5184 0.72293 36 258 0.66636 0.76775 15.2% 13.6 371s
21169 5187 0.67348 63 246 0.66636 0.76775 15.2% 13.6 375s
21172 5189 0.70734 45 253 0.66636 0.76775 15.2% 13.6 380s
21175 5193 0.76775 19 233 0.66636 0.76775 15.2% 15.6 390s
21180 5194 0.76775 21 229 0.66636 0.76775 15.2% 15.6 395s
21303 5184 0.69719 39 174 0.66636 0.76775 15.2% 16.0 400s
21556 5160 0.76775 29 188 0.66636 0.76775 15.2% 16.5 405s
22067 5158 0.73917 46 125 0.66636 0.76775 15.2% 17.0 410s
22612 5121 0.71815 31 133 0.66636 0.75816 13.8% 17.4 415s
23577 4966 infeasible 39 0.66636 0.73200 9.85% 17.8 420s
24561 4650 0.67617 44 104 0.66636 0.70683 6.07% 18.1 425s
25956 4087 0.68300 41 109 0.66636 0.68639 3.01% 18.0 430s
26500 3771 0.67984 53 61 0.66636 0.68002 2.05% 17.9 435s
Cutting planes:
Learned: 1
Gomory: 65
Cover: 4
Implied bound: 13
Projected implied bound: 12
Clique: 7
MIR: 49
StrongCG: 1
Flow cover: 206
Inf proof: 25
Explored 27320 nodes (488626 simplex iterations) in 437.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.666361 0.666361
Optimal solution found (tolerance 1.00e-02)
Best objective 6.663612311197e-01, best bound 6.714265686505e-01, gap 0.7601%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5_ammi8i.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 8608 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwl_hajbd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 8608 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.660456
Presolve removed 702 rows and 437 columns
Presolve time: 0.04s
Presolved: 1559 rows, 1190 columns, 5784 nonzeros
Variable types: 659 continuous, 531 integer (526 binary)
Root relaxation: objective 1.313777e+00, 1261 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31378 0 87 0.66046 1.31378 98.9% - 0s
0 0 1.27020 0 111 0.66046 1.27020 92.3% - 0s
0 0 1.26980 0 110 0.66046 1.26980 92.3% - 0s
0 0 1.23840 0 139 0.66046 1.23840 87.5% - 0s
0 0 1.23734 0 136 0.66046 1.23734 87.3% - 0s
0 0 1.23710 0 141 0.66046 1.23710 87.3% - 0s
0 0 1.23695 0 136 0.66046 1.23695 87.3% - 0s
0 0 1.23633 0 149 0.66046 1.23633 87.2% - 0s
0 0 1.23633 0 149 0.66046 1.23633 87.2% - 0s
0 0 1.23393 0 148 0.66046 1.23393 86.8% - 0s
0 0 1.22904 0 141 0.66046 1.22904 86.1% - 0s
0 0 1.22527 0 143 0.66046 1.22527 85.5% - 0s
0 0 1.22361 0 141 0.66046 1.22361 85.3% - 0s
0 0 1.22346 0 146 0.66046 1.22346 85.2% - 0s
0 0 1.22302 0 141 0.66046 1.22302 85.2% - 0s
0 0 1.21280 0 154 0.66046 1.21280 83.6% - 0s
0 0 1.21157 0 152 0.66046 1.21157 83.4% - 0s
0 0 1.21154 0 149 0.66046 1.21154 83.4% - 0s
0 0 1.21150 0 146 0.66046 1.21150 83.4% - 0s
0 0 1.21150 0 155 0.66046 1.21150 83.4% - 0s
0 0 1.21150 0 155 0.66046 1.21150 83.4% - 0s
0 0 1.21150 0 148 0.66046 1.21150 83.4% - 0s
0 0 1.21150 0 109 0.66046 1.21150 83.4% - 0s
0 2 1.21150 0 106 0.66046 1.21150 83.4% - 1s
748 493 0.94826 17 125 0.66046 1.07296 62.5% 18.1 5s
1080 554 0.88184 22 153 0.66046 1.07296 62.5% 25.2 10s
2234 668 infeasible 30 0.66046 1.03133 56.2% 23.9 15s
3770 1082 0.90376 31 114 0.66046 0.95123 44.0% 20.9 20s
6021 1720 0.76952 52 74 0.66046 0.87645 32.7% 17.9 25s
9100 2599 0.66542 86 90 0.66046 0.83103 25.8% 15.8 30s
11988 3364 0.75531 56 92 0.66046 0.81185 22.9% 15.0 35s
14635 3823 infeasible 49 0.66046 0.79267 20.0% 14.3 40s
17029 4276 0.76600 48 86 0.66046 0.78008 18.1% 14.0 45s
19711 4705 cutoff 60 0.66046 0.76872 16.4% 13.7 50s
20810 4829 0.72121 54 109 0.66046 0.76509 15.8% 13.6 73s
20817 4834 0.71281 73 187 0.66046 0.76509 15.8% 13.6 75s
20821 4836 0.72396 56 210 0.66046 0.76509 15.8% 13.6 82s
20825 4839 0.69440 114 221 0.66046 0.76509 15.8% 13.6 87s
20828 4841 0.75450 87 227 0.66046 0.76509 15.8% 13.6 91s
20831 4843 0.74855 48 223 0.66046 0.76509 15.8% 13.6 95s
20834 4845 0.70482 45 214 0.66046 0.76509 15.8% 13.6 100s
20839 4848 0.68796 66 233 0.66046 0.76509 15.8% 13.6 105s
20842 4850 0.69581 60 237 0.66046 0.76509 15.8% 13.6 110s
20845 4852 0.73275 53 243 0.66046 0.76509 15.8% 13.6 117s
20847 4854 0.74491 55 238 0.66046 0.76509 15.8% 13.6 120s
20849 4855 0.69291 134 251 0.66046 0.76509 15.8% 13.6 125s
20852 4857 0.73915 50 247 0.66046 0.76509 15.8% 13.6 130s
20856 4860 0.66955 59 252 0.66046 0.76509 15.8% 13.6 136s
20859 4862 0.74247 44 254 0.66046 0.76509 15.8% 13.6 140s
20862 4864 0.68054 63 255 0.66046 0.76509 15.8% 13.6 145s
20865 4866 0.69818 72 246 0.66046 0.76509 15.8% 13.6 150s
20868 4868 0.75464 69 233 0.66046 0.76509 15.8% 13.6 155s
20872 4870 0.74460 43 235 0.66046 0.76509 15.8% 13.6 160s
20875 4872 0.74776 45 229 0.66046 0.76509 15.8% 13.6 165s
20878 4874 0.68129 98 236 0.66046 0.76509 15.8% 13.6 170s
20883 4878 0.75322 72 231 0.66046 0.76509 15.8% 13.6 175s
20886 4880 0.70707 52 227 0.66046 0.76509 15.8% 13.6 181s
20889 4882 0.67378 134 235 0.66046 0.76509 15.8% 13.6 185s
20892 4884 0.74752 77 235 0.66046 0.76509 15.8% 13.6 190s
20896 4886 0.69384 64 240 0.66046 0.76509 15.8% 13.6 196s
20899 4888 0.70127 67 227 0.66046 0.76509 15.8% 13.6 200s
20904 4892 0.71434 72 228 0.66046 0.76509 15.8% 13.6 206s
20907 4894 0.73292 91 226 0.66046 0.76509 15.8% 13.6 212s
20909 4895 0.74313 55 235 0.66046 0.76509 15.8% 13.6 215s
20913 4898 0.76024 56 241 0.66046 0.76509 15.8% 13.6 221s
20916 4900 0.74699 50 238 0.66046 0.76509 15.8% 13.6 225s
20919 4902 0.71401 52 239 0.66046 0.76509 15.8% 13.6 230s
20922 4904 0.69250 80 235 0.66046 0.76509 15.8% 13.6 236s
20924 4905 0.68979 80 245 0.66046 0.76509 15.8% 13.6 240s
20927 4907 0.68943 88 240 0.66046 0.76509 15.8% 13.6 245s
20931 4910 0.74855 48 236 0.66046 0.76509 15.8% 13.6 251s
20934 4912 0.70482 45 240 0.66046 0.76509 15.8% 13.6 255s
20937 4914 0.75367 58 234 0.66046 0.76509 15.8% 13.6 262s
20939 4915 0.68796 66 245 0.66046 0.76509 15.8% 13.6 268s
20940 4916 0.75388 59 239 0.66046 0.76509 15.8% 13.5 270s
H20940 4668 0.6604562 0.76509 15.8% 13.5 275s
20943 4670 0.70137 80 235 0.66046 0.76509 15.8% 13.5 280s
20945 4671 0.73275 53 243 0.66046 0.76509 15.8% 13.5 285s
20948 4673 0.73377 60 237 0.66046 0.76509 15.8% 13.5 290s
20951 4675 0.73695 52 228 0.66046 0.76509 15.8% 13.5 295s
20955 4678 0.69347 71 233 0.66046 0.76509 15.8% 13.5 302s
20957 4679 0.73808 51 230 0.66046 0.76509 15.8% 13.5 306s
20960 4681 0.72803 52 228 0.66046 0.76509 15.8% 13.5 310s
20962 4682 0.68054 63 242 0.66046 0.76509 15.8% 13.5 315s
20965 4684 0.69818 72 244 0.66046 0.76509 15.8% 13.5 320s
20970 4688 0.69059 41 240 0.66046 0.76509 15.8% 13.5 325s
20972 4689 0.74460 43 242 0.66046 0.76509 15.8% 13.5 330s
20975 4691 0.74776 45 243 0.66046 0.76509 15.8% 13.5 335s
20979 4696 0.76509 26 228 0.66046 0.76509 15.8% 15.4 345s
20981 4697 0.76509 27 219 0.66046 0.76509 15.8% 15.4 351s
21006 4697 0.76509 32 181 0.66046 0.76509 15.8% 15.6 356s
21181 4672 infeasible 33 0.66046 0.76509 15.8% 16.1 360s
21269 4669 0.74841 39 168 0.66046 0.76509 15.8% 16.4 365s
21476 4651 cutoff 50 0.66046 0.76509 15.8% 17.0 370s
21689 4621 infeasible 55 0.66046 0.76509 15.8% 17.7 375s
21948 4598 0.68976 57 149 0.66046 0.75953 15.0% 18.3 381s
22470 4557 0.67355 60 121 0.66046 0.73949 12.0% 18.8 386s
23059 4494 0.71959 43 133 0.66046 0.72763 10.2% 19.2 392s
*23232 4196 91 0.6604562 0.72101 9.17% 19.3 393s
23371 4203 infeasible 45 0.66046 0.71722 8.59% 19.4 395s
23907 4116 infeasible 50 0.66046 0.70932 7.40% 19.7 400s
24455 4012 0.66361 49 111 0.66046 0.70651 6.97% 20.0 405s
25174 3795 infeasible 47 0.66046 0.69942 5.90% 20.4 410s
25934 3510 cutoff 53 0.66046 0.68981 4.44% 20.8 416s
26582 3213 cutoff 56 0.66046 0.68351 3.49% 21.1 420s
27514 2780 0.66668 56 75 0.66046 0.67481 2.17% 21.3 425s
28602 2097 infeasible 59 0.66046 0.66714 1.01% 21.2 430s
Cutting planes:
Learned: 2
Gomory: 112
Cover: 23
Implied bound: 46
Projected implied bound: 38
Clique: 12
MIR: 171
StrongCG: 1
Flow cover: 675
Flow path: 3
Inf proof: 65
Zero half: 1
Explored 28730 nodes (611467 simplex iterations) in 430.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.660456 0.660456 0.660456
Optimal solution found (tolerance 1.00e-02)
Best objective 6.604561810282e-01, best bound 6.636233217451e-01, gap 0.4795%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8nd485xd.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 8785 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprfty2i0q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 8785 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.65261
Presolve removed 715 rows and 445 columns
Presolve time: 0.05s
Presolved: 1592 rows, 1215 columns, 5907 nonzeros
Variable types: 673 continuous, 542 integer (537 binary)
Root relaxation: objective 1.290863e+00, 1191 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29086 0 90 0.65261 1.29086 97.8% - 0s
0 0 1.25064 0 116 0.65261 1.25064 91.6% - 0s
0 0 1.25036 0 117 0.65261 1.25036 91.6% - 0s
0 0 1.22082 0 144 0.65261 1.22082 87.1% - 0s
0 0 1.21814 0 143 0.65261 1.21814 86.7% - 0s
0 0 1.21734 0 143 0.65261 1.21734 86.5% - 0s
0 0 1.21734 0 143 0.65261 1.21734 86.5% - 0s
31767 2229 infeasible 60 0.65293 0.68994 5.67% 16.6 110s
33257 1506 infeasible 52 0.65293 0.68080 4.27% 16.7 115s
34735 704 cutoff 66 0.65293 0.66833 2.36% 16.6 120s
Cutting planes:
Learned: 2
Gomory: 26
Cover: 5
Implied bound: 69
Projected implied bound: 56
Clique: 2
MIR: 40
Flow cover: 171
Flow path: 1
Inf proof: 401
Explored 35490 nodes (588504 simplex iterations) in 122.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.652928 0.652789 0.65261
Optimal solution found (tolerance 1.00e-02)
Best objective 6.529278629382e-01, best bound 6.585643915746e-01, gap 0.8633%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphhwkhi0h.pyomo.lp
Reading time = 0.02 seconds
x1900: 2353 rows, 1693 columns, 8962 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcix5ayfd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 8962 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.642684
Presolve removed 728 rows and 453 columns
Presolve time: 0.06s
Presolved: 1625 rows, 1240 columns, 6030 nonzeros
Variable types: 687 continuous, 553 integer (548 binary)
Root relaxation: objective 1.265082e+00, 1334 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26508 0 90 0.64268 1.26508 96.8% - 0s
0 0 1.22421 0 125 0.64268 1.22421 90.5% - 0s
0 0 1.22347 0 121 0.64268 1.22347 90.4% - 0s
0 0 1.19156 0 149 0.64268 1.19156 85.4% - 0s
0 0 1.19095 0 146 0.64268 1.19095 85.3% - 0s
0 0 1.18677 0 145 0.64268 1.18677 84.7% - 0s
0 0 1.18548 0 141 0.64268 1.18548 84.5% - 0s
0 0 1.18365 0 144 0.64268 1.18365 84.2% - 0s
0 0 1.18365 0 147 0.64268 1.18365 84.2% - 0s
0 0 1.17380 0 153 0.64268 1.17380 82.6% - 0s
0 0 1.17363 0 155 0.64268 1.17363 82.6% - 0s
0 0 1.17270 0 156 0.64268 1.17270 82.5% - 0s
0 0 1.17054 0 152 0.64268 1.17054 82.1% - 0s
0 0 1.16977 0 153 0.64268 1.16977 82.0% - 0s
0 0 1.16976 0 153 0.64268 1.16976 82.0% - 0s
0 0 1.16833 0 151 0.64268 1.16833 81.8% - 0s
0 0 1.16743 0 154 0.64268 1.16743 81.6% - 1s
0 0 1.16729 0 153 0.64268 1.16729 81.6% - 1s
0 0 1.16725 0 155 0.64268 1.16725 81.6% - 1s
0 0 1.16724 0 157 0.64268 1.16724 81.6% - 1s
0 0 1.16724 0 155 0.64268 1.16724 81.6% - 1s
0 0 1.16724 0 155 0.64268 1.16724 81.6% - 1s
0 0 1.16724 0 116 0.64268 1.16724 81.6% - 1s
0 2 1.16724 0 103 0.64268 1.16724 81.6% - 1s
744 469 0.85520 39 151 0.64268 1.06959 66.4% 16.5 5s
766 484 0.95441 31 150 0.64268 1.06959 66.4% 16.0 10s
805 495 0.88205 21 136 0.64268 1.05839 64.7% 25.2 15s
1360 567 0.91898 38 115 0.64268 1.01845 58.5% 26.9 20s
H 1362 541 0.6428956 1.01845 58.4% 26.8 20s
H 1365 519 0.6430515 1.01845 58.4% 26.8 20s
2554 883 0.86895 20 130 0.64305 0.97476 51.6% 25.0 25s
4058 1426 0.88411 41 144 0.64305 0.94530 47.0% 23.0 30s
5228 1645 0.74249 81 88 0.64305 0.91188 41.8% 21.5 35s
7422 2139 0.80931 48 128 0.64305 0.85936 33.6% 19.8 40s
9141 2464 infeasible 50 0.64305 0.83085 29.2% 18.7 45s
10257 2828 0.72642 48 109 0.64305 0.82086 27.7% 18.0 51s
11827 3252 0.72782 47 102 0.64305 0.80520 25.2% 17.5 55s
13967 3784 0.71293 48 110 0.64305 0.79126 23.0% 17.0 60s
15390 4052 0.71207 71 66 0.64305 0.78060 21.4% 16.8 65s
17749 4637 0.67058 62 56 0.64305 0.76959 19.7% 16.3 70s
19522 5062 cutoff 66 0.64305 0.75974 18.1% 16.0 75s
20881 5489 0.66976 47 116 0.64305 0.75424 17.3% 15.7 105s
20890 5495 0.64896 92 180 0.64305 0.75424 17.3% 15.7 111s
20892 5496 0.71862 67 182 0.64305 0.75424 17.3% 15.7 116s
20896 5499 0.73374 49 181 0.64305 0.75424 17.3% 15.7 121s
20899 5501 0.71162 47 169 0.64305 0.75424 17.3% 15.7 129s
20901 5502 0.69395 76 192 0.64305 0.75424 17.3% 15.7 131s
20902 5503 0.74999 55 203 0.64305 0.75424 17.3% 15.7 135s
20905 5505 0.73371 54 198 0.64305 0.75424 17.3% 15.7 140s
20907 5506 0.70556 69 213 0.64305 0.75424 17.3% 15.7 145s
20910 5508 0.74169 74 220 0.64305 0.75424 17.3% 15.7 150s
20914 5511 0.70354 75 215 0.64305 0.75424 17.3% 15.7 155s
20916 5512 0.68451 92 206 0.64305 0.75424 17.3% 15.7 160s
20920 5515 0.73876 69 208 0.64305 0.75424 17.3% 15.7 166s
20923 5517 0.73362 62 221 0.64305 0.75424 17.3% 15.7 171s
20927 5520 0.65798 71 224 0.64305 0.75424 17.3% 15.7 175s
20930 5522 0.72671 59 223 0.64305 0.75424 17.3% 15.7 180s
20935 5525 0.71146 66 233 0.64305 0.75424 17.3% 15.7 185s
20938 5527 0.71460 49 219 0.64305 0.75424 17.3% 15.7 190s
20943 5530 0.71338 57 228 0.64305 0.75424 17.3% 15.6 195s
20946 5532 0.65815 103 231 0.64305 0.75424 17.3% 15.6 200s
20950 5535 0.65399 101 231 0.64305 0.75424 17.3% 15.6 205s
20954 5538 0.65039 73 235 0.64305 0.75424 17.3% 15.6 211s
20958 5540 0.69418 75 243 0.64305 0.75424 17.3% 15.6 216s
20962 5543 0.74481 46 242 0.64305 0.75424 17.3% 15.6 221s
20966 5546 0.73802 45 234 0.64305 0.75424 17.3% 15.6 225s
20971 5549 0.67918 55 233 0.64305 0.75424 17.3% 15.6 230s
20975 5552 0.73229 47 235 0.64305 0.75424 17.3% 15.6 235s
20979 5554 0.64950 69 235 0.64305 0.75424 17.3% 15.6 240s
20983 5557 0.71263 82 238 0.64305 0.75424 17.3% 15.6 245s
20989 5561 0.65338 70 231 0.64305 0.75424 17.3% 15.6 250s
20992 5563 0.71862 67 234 0.64305 0.75424 17.3% 15.6 255s
20995 5565 0.65206 99 249 0.64305 0.75424 17.3% 15.6 260s
H20996 5285 0.6430515 0.75424 17.3% 15.6 263s
20998 5286 0.71985 68 239 0.64305 0.75424 17.3% 15.6 265s
21001 5288 0.69395 76 237 0.64305 0.75424 17.3% 15.6 270s
21004 5290 0.73117 47 252 0.64305 0.75424 17.3% 15.6 275s
21009 5293 0.73362 62 244 0.64305 0.75424 17.3% 15.6 281s
21011 5295 0.69475 48 249 0.64305 0.75424 17.3% 15.6 285s
21014 5297 0.70354 75 259 0.64305 0.75424 17.3% 15.6 291s
21016 5298 0.68451 92 256 0.64305 0.75424 17.3% 15.6 295s
21018 5299 0.70334 57 248 0.64305 0.75424 17.3% 15.6 301s
21020 5301 0.73876 69 250 0.64305 0.75424 17.3% 15.6 305s
21022 5302 0.65847 54 247 0.64305 0.75424 17.3% 15.6 310s
21026 5305 0.72801 59 253 0.64305 0.75424 17.3% 15.6 315s
21029 5307 0.64551 115 243 0.64305 0.75424 17.3% 15.6 321s
21031 5308 0.72671 59 244 0.64305 0.75424 17.3% 15.6 325s
21034 5310 0.72847 56 261 0.64305 0.75424 17.3% 15.6 331s
21036 5311 0.66197 62 243 0.64305 0.75424 17.3% 15.6 335s
21039 5313 0.67345 74 243 0.64305 0.75424 17.3% 15.6 342s
21041 5315 0.69083 59 249 0.64305 0.75424 17.3% 15.6 345s
21045 5317 0.71716 51 246 0.64305 0.75424 17.3% 15.6 350s
21048 5319 0.71155 83 253 0.64305 0.75424 17.3% 15.6 356s
21052 5322 0.69145 43 242 0.64305 0.75424 17.3% 15.6 360s
21053 5323 0.72180 70 237 0.64305 0.75424 17.3% 15.6 365s
21057 5325 0.70093 58 236 0.64305 0.75424 17.3% 15.6 371s
21060 5327 0.73607 54 240 0.64305 0.75424 17.3% 15.6 375s
21063 5329 0.70747 60 238 0.64305 0.75424 17.3% 15.6 380s
21067 5332 0.66914 66 224 0.64305 0.75424 17.3% 15.6 385s
21070 5334 0.72530 60 245 0.64305 0.75424 17.3% 15.6 390s
21073 5336 0.74660 47 241 0.64305 0.75424 17.3% 15.6 395s
21077 5339 0.65209 84 242 0.64305 0.75424 17.3% 15.5 400s
21080 5341 0.71816 67 253 0.64305 0.75424 17.3% 15.5 406s
21082 5342 0.72291 57 258 0.64305 0.75424 17.3% 15.5 410s
21084 5343 0.75121 55 258 0.64305 0.75424 17.3% 15.5 415s
21086 5345 0.71140 69 249 0.64305 0.75424 17.3% 15.5 421s
21088 5346 0.69832 74 247 0.64305 0.75424 17.3% 15.5 426s
21089 5347 0.65338 70 239 0.64305 0.75424 17.3% 15.5 431s
21091 5348 0.74199 45 255 0.64305 0.75424 17.3% 15.5 435s
21093 5349 0.73655 73 242 0.64305 0.75424 17.3% 15.5 440s
21095 5353 0.75424 24 201 0.64305 0.75424 17.3% 17.7 452s
21097 5353 0.75424 25 193 0.64305 0.75424 17.3% 17.8 461s
21116 5358 0.75424 30 219 0.64305 0.75424 17.3% 17.9 465s
21177 5365 0.74911 43 152 0.64305 0.75424 17.3% 18.1 470s
21344 5409 0.65159 121 14 0.64305 0.75424 17.3% 18.4 475s
*21353 5135 130 0.6430515 0.75424 17.3% 18.4 475s
21436 5150 0.75424 34 224 0.64305 0.75424 17.3% 18.7 480s
21549 5132 0.72981 37 183 0.64305 0.75424 17.3% 19.3 485s
21993 5100 0.66665 44 150 0.64305 0.75424 17.3% 19.9 490s
22464 5018 cutoff 65 0.64305 0.75346 17.2% 20.4 495s
23101 5000 infeasible 44 0.64305 0.73782 14.7% 20.8 500s
23706 4996 0.67489 53 126 0.64305 0.72394 12.6% 21.1 505s
24401 4921 cutoff 53 0.64305 0.71449 11.1% 21.5 511s
24867 4845 infeasible 42 0.64305 0.70998 10.4% 21.7 515s
25509 4780 0.66216 43 128 0.64305 0.70429 9.52% 22.0 521s
26031 4727 0.65573 52 115 0.64305 0.70060 8.95% 22.2 525s
26331 4685 0.66299 51 130 0.64305 0.69902 8.70% 22.3 531s
27045 4632 0.66590 60 87 0.64305 0.69409 7.94% 22.4 536s
27679 4529 0.67118 49 128 0.64305 0.69033 7.35% 22.7 540s
28326 4381 infeasible 55 0.64305 0.68809 7.00% 23.0 546s
29135 4178 0.66829 54 90 0.64305 0.68275 6.17% 23.3 552s
29800 3965 0.66964 45 151 0.64305 0.67982 5.72% 23.5 556s
30845 3549 0.66856 55 110 0.64305 0.67236 4.56% 23.8 561s
31648 3221 cutoff 51 0.64305 0.66949 4.11% 24.0 565s
32777 2636 infeasible 56 0.64305 0.66286 3.08% 24.2 570s
33935 1966 cutoff 61 0.64305 0.65672 2.13% 24.3 577s
34415 1566 cutoff 58 0.64305 0.65504 1.86% 24.3 580s
Cutting planes:
Learned: 2
Gomory: 111
Cover: 19
Implied bound: 55
Projected implied bound: 47
Clique: 5
MIR: 210
StrongCG: 1
Flow cover: 692
Flow path: 3
Inf proof: 133
Network: 1
Explored 35458 nodes (863749 simplex iterations) in 584.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.643052 0.643052 0.643052 ... 0.642684
Optimal solution found (tolerance 1.00e-02)
Best objective 6.430515418303e-01, best bound 6.488486355223e-01, gap 0.9015%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmply4byda2.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe5dq1f_o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 9139 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.638153
Presolve removed 741 rows and 461 columns
Presolve time: 0.04s
Presolved: 1658 rows, 1265 columns, 6153 nonzeros
Variable types: 701 continuous, 564 integer (559 binary)
Root relaxation: objective 1.260212e+00, 1231 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26021 0 97 0.63815 1.26021 97.5% - 0s
0 0 1.22239 0 119 0.63815 1.22239 91.6% - 0s
0 0 1.22166 0 116 0.63815 1.22166 91.4% - 0s
0 0 1.18965 0 138 0.63815 1.18965 86.4% - 0s
0 0 1.18773 0 136 0.63815 1.18773 86.1% - 0s
0 0 1.18294 0 141 0.63815 1.18294 85.4% - 0s
0 0 1.18080 0 142 0.63815 1.18080 85.0% - 0s
0 0 1.17121 0 146 0.63815 1.17121 83.5% - 0s
0 0 1.17085 0 152 0.63815 1.17085 83.5% - 0s
0 0 1.16912 0 150 0.63815 1.16912 83.2% - 0s
0 0 1.16721 0 150 0.63815 1.16721 82.9% - 0s
0 0 1.16672 0 153 0.63815 1.16672 82.8% - 0s
0 0 1.16666 0 151 0.63815 1.16666 82.8% - 0s
0 0 1.16267 0 153 0.63815 1.16267 82.2% - 0s
0 0 1.16175 0 157 0.63815 1.16175 82.0% - 0s
0 0 1.16148 0 150 0.63815 1.16148 82.0% - 0s
0 0 1.16141 0 148 0.63815 1.16141 82.0% - 0s
0 0 1.16139 0 151 0.63815 1.16139 82.0% - 0s
0 0 1.16139 0 151 0.63815 1.16139 82.0% - 0s
0 0 1.16139 0 116 0.63815 1.16139 82.0% - 0s
0 2 1.16139 0 116 0.63815 1.16139 82.0% - 0s
765 512 0.72334 38 162 0.63815 1.05163 64.8% 14.8 5s
855 533 1.00808 17 172 0.63815 1.05163 64.8% 23.5 10s
1785 660 0.84074 42 132 0.63815 0.98819 54.9% 23.9 15s
3344 824 0.84692 40 132 0.63815 0.88513 38.7% 20.3 20s
5319 1699 0.75589 33 113 0.63815 0.86309 35.2% 18.6 26s
7029 2220 0.74584 60 106 0.63815 0.84317 32.1% 17.3 30s
9701 2915 0.64165 76 43 0.63815 0.82456 29.2% 15.5 35s
12600 3609 infeasible 56 0.63815 0.79879 25.2% 14.6 40s
13681 3708 0.65690 32 119 0.63815 0.78951 23.7% 14.5 45s
16290 4229 0.65577 67 109 0.63815 0.77584 21.6% 13.9 50s
17859 4497 infeasible 55 0.63815 0.76442 19.8% 14.0 55s
19913 4879 0.67138 68 117 0.63815 0.75909 19.0% 14.0 60s
20740 5071 0.71942 83 116 0.63815 0.75621 18.5% 14.0 91s
20750 5078 0.74258 71 231 0.63815 0.75621 18.5% 14.0 96s
20753 5080 0.73278 66 225 0.63815 0.75621 18.5% 14.0 100s
20758 5083 0.66899 95 232 0.63815 0.75621 18.5% 14.0 105s
20760 5084 0.70948 68 242 0.63815 0.75621 18.5% 14.0 110s
20763 5086 0.67795 95 235 0.63815 0.75621 18.5% 14.0 115s
20766 5088 0.68207 88 250 0.63815 0.75621 18.5% 13.9 121s
20769 5090 0.70481 72 260 0.63815 0.75621 18.5% 13.9 125s
20773 5093 0.68510 70 261 0.63815 0.75621 18.5% 13.9 131s
20776 5095 0.68465 61 248 0.63815 0.75621 18.5% 13.9 135s
20779 5097 0.68676 79 250 0.63815 0.75621 18.5% 13.9 140s
20783 5100 0.72247 48 264 0.63815 0.75621 18.5% 13.9 145s
20787 5102 0.70750 73 263 0.63815 0.75621 18.5% 13.9 150s
20789 5104 0.69858 84 273 0.63815 0.75621 18.5% 13.9 155s
20793 5106 0.71307 55 271 0.63815 0.75621 18.5% 13.9 162s
20795 5108 0.71846 49 266 0.63815 0.75621 18.5% 13.9 165s
20797 5109 0.73995 57 268 0.63815 0.75621 18.5% 13.9 171s
20799 5110 0.65531 67 262 0.63815 0.75621 18.5% 13.9 177s
20801 5112 0.68654 95 263 0.63815 0.75621 18.5% 13.9 183s
20802 5112 0.71373 51 271 0.63815 0.75621 18.5% 13.9 185s
20803 5113 0.75425 62 274 0.63815 0.75621 18.5% 13.9 190s
20805 5114 0.73760 58 278 0.63815 0.75621 18.5% 13.9 197s
20807 5116 0.66441 68 292 0.63815 0.75621 18.5% 13.9 202s
20809 5117 0.74516 59 290 0.63815 0.75621 18.5% 13.9 206s
20811 5118 0.72372 42 280 0.63815 0.75621 18.5% 13.9 210s
20813 5120 0.65569 59 293 0.63815 0.75621 18.5% 13.9 215s
20815 5121 0.66119 98 277 0.63815 0.75621 18.5% 13.9 220s
20817 5122 0.69194 49 292 0.63815 0.75621 18.5% 13.9 227s
20819 5124 0.75469 48 288 0.63815 0.75621 18.5% 13.9 232s
20821 5125 0.66027 75 292 0.63815 0.75621 18.5% 13.9 237s
20823 5126 0.69101 68 288 0.63815 0.75621 18.5% 13.9 242s
20825 5128 0.72647 40 290 0.63815 0.75621 18.5% 13.9 247s
20827 5129 0.71983 65 289 0.63815 0.75621 18.5% 13.9 252s
20829 5130 0.72460 43 287 0.63815 0.75621 18.5% 13.9 256s
20831 5132 0.66142 87 288 0.63815 0.75621 18.5% 13.9 261s
20833 5133 0.72838 48 278 0.63815 0.75621 18.5% 13.9 265s
20835 5134 0.66387 71 284 0.63815 0.75621 18.5% 13.9 272s
20837 5136 0.64970 106 303 0.63815 0.75621 18.5% 13.9 278s
20838 5136 0.63970 66 297 0.63815 0.75621 18.5% 13.9 280s
20840 5138 0.71942 83 293 0.63815 0.75621 18.5% 13.9 286s
20841 5138 0.72838 48 283 0.63815 0.75621 18.5% 13.9 290s
20843 5140 0.72392 68 285 0.63815 0.75621 18.5% 13.9 295s
20845 5141 0.71312 64 289 0.63815 0.75621 18.5% 13.9 302s
20847 5142 0.71751 76 296 0.63815 0.75621 18.5% 13.9 307s
20849 5144 0.68210 70 287 0.63815 0.75621 18.5% 13.9 313s
20850 5144 0.74258 71 294 0.63815 0.75621 18.5% 13.9 315s
20852 5146 0.69322 63 296 0.63815 0.75621 18.5% 13.9 321s
20853 5146 0.73278 66 292 0.63815 0.75621 18.5% 13.9 325s
20855 5148 0.74425 58 303 0.63815 0.75621 18.5% 13.9 330s
H20856 4888 0.6381533 0.75621 18.5% 13.9 336s
20859 4890 0.68490 70 290 0.63815 0.75621 18.5% 13.9 343s
20860 4891 0.70948 68 295 0.63815 0.75621 18.5% 13.9 345s
20864 4894 0.66348 68 296 0.63815 0.75621 18.5% 13.9 350s
20868 4896 0.72870 55 296 0.63815 0.75621 18.5% 13.9 356s
20870 4898 0.68082 55 289 0.63815 0.75621 18.5% 13.9 361s
20873 4900 0.68510 70 296 0.63815 0.75621 18.5% 13.9 365s
20875 4901 0.72563 85 292 0.63815 0.75621 18.5% 13.9 370s
20878 4903 0.69701 76 288 0.63815 0.75621 18.5% 13.9 376s
20881 4905 0.66526 100 287 0.63815 0.75621 18.5% 13.9 380s
20885 4908 0.67342 76 285 0.63815 0.75621 18.5% 13.9 385s
20889 4910 0.69858 84 281 0.63815 0.75621 18.5% 13.9 390s
20895 4914 0.71846 49 296 0.63815 0.75621 18.5% 13.9 396s
20900 4918 0.64670 70 281 0.63815 0.75621 18.5% 13.9 400s
20906 4922 0.69665 76 275 0.63815 0.75621 18.5% 13.9 406s
20910 4924 0.75436 64 281 0.63815 0.75621 18.5% 13.9 410s
20914 4927 0.68793 64 271 0.63815 0.75621 18.5% 13.9 415s
20919 4930 0.75469 48 272 0.63815 0.75621 18.5% 13.8 420s
20924 4934 0.67544 70 279 0.63815 0.75621 18.5% 13.8 425s
20929 4937 0.72460 43 285 0.63815 0.75621 18.5% 13.8 430s
20934 4940 0.72411 46 281 0.63815 0.75621 18.5% 13.8 435s
20940 4944 0.71942 83 269 0.63815 0.75621 18.5% 13.8 440s
20944 4947 0.72107 77 264 0.63815 0.75621 18.5% 13.8 445s
20948 4950 0.67227 62 255 0.63815 0.75621 18.5% 13.8 450s
20953 4953 0.73278 66 268 0.63815 0.75621 18.5% 13.8 455s
20957 4956 0.71487 65 264 0.63815 0.75621 18.5% 13.8 460s
20958 4957 infeasible 24 0.63815 0.75621 18.5% 16.7 467s
20960 4957 0.75621 25 247 0.63815 0.75621 18.5% 16.7 473s
20962 4956 infeasible 26 0.63815 0.75621 18.5% 16.9 478s
20964 4955 0.75621 27 255 0.63815 0.75621 18.5% 16.9 487s
20968 4957 0.75621 29 245 0.63815 0.75621 18.5% 17.0 490s
20976 4960 0.75621 31 235 0.63815 0.75621 18.5% 17.1 498s
20987 4959 0.72520 32 216 0.63815 0.75621 18.5% 18.0 502s
21027 4964 0.65757 37 280 0.63815 0.75621 18.5% 18.7 505s
21059 4970 0.75621 31 234 0.63815 0.75621 18.5% 18.8 510s
21227 4969 0.73561 34 238 0.63815 0.75621 18.5% 19.5 516s
21369 4968 0.73617 39 215 0.63815 0.75621 18.5% 20.1 520s
21477 4983 infeasible 43 0.63815 0.75621 18.5% 21.0 526s
21513 4970 cutoff 45 0.63815 0.75621 18.5% 21.1 530s
21774 4973 0.66168 91 114 0.63815 0.75621 18.5% 22.1 535s
21929 4953 0.75621 39 198 0.63815 0.75621 18.5% 23.3 541s
22064 4945 0.72212 55 181 0.63815 0.75621 18.5% 24.3 546s
22186 4939 0.66049 67 129 0.63815 0.75621 18.5% 24.9 551s
22409 4941 infeasible 42 0.63815 0.75621 18.5% 25.7 555s
22845 4924 0.72941 49 182 0.63815 0.75621 18.5% 26.6 561s
23160 4914 infeasible 39 0.63815 0.75621 18.5% 27.4 566s
23369 4881 infeasible 39 0.63815 0.75000 17.5% 27.7 570s
23820 4857 cutoff 46 0.63815 0.74084 16.1% 28.3 575s
24499 4864 0.70147 42 185 0.63815 0.73096 14.5% 29.1 582s
24908 4817 0.66681 56 145 0.63815 0.72383 13.4% 29.6 588s
25200 4791 0.65306 42 170 0.63815 0.72083 13.0% 29.9 591s
25474 4747 cutoff 60 0.63815 0.71822 12.5% 30.2 595s
26068 4751 infeasible 50 0.63815 0.71563 12.1% 31.3 600s
Cutting planes:
Learned: 3
Gomory: 144
Cover: 17
Implied bound: 38
Projected implied bound: 50
Clique: 13
MIR: 221
StrongCG: 6
Flow cover: 684
Flow path: 3
Inf proof: 60
Explored 26078 nodes (821396 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.638153 0.638153
Time limit reached
Best objective 6.381532866792e-01, best bound 7.145021437996e-01, gap 11.9640%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkpk_h1ri.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 9316 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd_3cryrt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 9316 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.635897
Presolve removed 754 rows and 469 columns
Presolve time: 0.04s
Presolved: 1691 rows, 1290 columns, 6276 nonzeros
Variable types: 715 continuous, 575 integer (570 binary)
Root relaxation: objective 1.251814e+00, 1466 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25181 0 94 0.63590 1.25181 96.9% - 0s
0 0 1.21218 0 124 0.63590 1.21218 90.6% - 0s
0 0 1.21191 0 124 0.63590 1.21191 90.6% - 0s
0 0 1.18497 0 156 0.63590 1.18497 86.3% - 0s
0 0 1.18324 0 152 0.63590 1.18324 86.1% - 0s
0 0 1.18248 0 149 0.63590 1.18248 86.0% - 0s
0 0 1.18246 0 151 0.63590 1.18246 86.0% - 0s
0 0 1.18133 0 151 0.63590 1.18133 85.8% - 0s
0 0 1.18133 0 152 0.63590 1.18133 85.8% - 0s
0 0 1.17936 0 151 0.63590 1.17936 85.5% - 0s
0 0 1.17619 0 154 0.63590 1.17619 85.0% - 0s
0 0 1.17547 0 157 0.63590 1.17547 84.9% - 0s
0 0 1.17317 0 154 0.63590 1.17317 84.5% - 0s
0 0 1.17213 0 150 0.63590 1.17213 84.3% - 0s
0 0 1.17122 0 154 0.63590 1.17122 84.2% - 0s
0 0 1.16982 0 156 0.63590 1.16982 84.0% - 0s
0 0 1.16982 0 156 0.63590 1.16982 84.0% - 0s
0 0 1.16982 0 157 0.63590 1.16982 84.0% - 0s
0 0 1.16982 0 157 0.63590 1.16982 84.0% - 0s
0 0 1.16982 0 117 0.63590 1.16982 84.0% - 0s
0 2 1.16982 0 115 0.63590 1.16982 84.0% - 0s
753 512 0.84418 76 144 0.63590 1.05076 65.2% 15.7 5s
1560 616 0.73676 52 126 0.63590 0.99291 56.1% 28.3 10s
H 1656 589 0.6358968 0.99291 56.1% 28.6 10s
H 1657 565 0.6358968 0.99291 56.1% 28.6 10s
3399 1191 0.65618 51 128 0.63590 0.94231 48.2% 26.7 15s
6017 1725 infeasible 38 0.63590 0.86103 35.4% 22.8 20s
9189 2082 0.71608 42 106 0.63590 0.80855 27.2% 19.1 25s
11454 2029 infeasible 51 0.63590 0.77061 21.2% 17.6 30s
15329 3018 cutoff 38 0.63590 0.73906 16.2% 15.4 35s
19749 4099 0.66882 59 67 0.63590 0.71640 12.7% 14.2 40s
21946 4629 0.66445 72 117 0.63590 0.70788 11.3% 14.0 60s
21959 4638 0.70587 52 205 0.63590 0.70788 11.3% 13.9 65s
21964 4641 0.67315 120 229 0.63590 0.70788 11.3% 13.9 70s
21970 4645 0.65846 57 227 0.63590 0.70788 11.3% 13.9 75s
21974 4648 0.64890 80 236 0.63590 0.70788 11.3% 13.9 80s
21979 4651 0.66367 68 216 0.63590 0.70788 11.3% 13.9 85s
21983 4654 0.69876 48 225 0.63590 0.70788 11.3% 13.9 91s
21987 4656 0.68243 66 232 0.63590 0.70788 11.3% 13.9 96s
21990 4658 0.67488 57 239 0.63590 0.70788 11.3% 13.9 100s
21994 4661 0.68465 51 235 0.63590 0.70788 11.3% 13.9 105s
21998 4664 0.66892 73 244 0.63590 0.70788 11.3% 13.9 110s
22002 4666 0.68455 57 241 0.63590 0.70788 11.3% 13.9 115s
22006 4669 0.66098 65 237 0.63590 0.70788 11.3% 13.9 120s
22010 4672 0.65913 66 237 0.63590 0.70788 11.3% 13.9 125s
22014 4674 0.70587 64 246 0.63590 0.70788 11.3% 13.9 130s
22018 4677 0.69636 62 250 0.63590 0.70788 11.3% 13.9 135s
22021 4679 0.66639 77 243 0.63590 0.70788 11.3% 13.9 140s
22025 4682 0.68811 57 253 0.63590 0.70788 11.3% 13.9 145s
22029 4684 0.65623 70 246 0.63590 0.70788 11.3% 13.9 150s
22033 4687 0.64233 119 248 0.63590 0.70788 11.3% 13.9 156s
22037 4690 0.66198 67 244 0.63590 0.70788 11.3% 13.9 161s
22041 4692 0.64371 46 252 0.63590 0.70788 11.3% 13.9 166s
22045 4695 0.65195 44 258 0.63590 0.70788 11.3% 13.9 171s
22049 4698 0.69720 50 258 0.63590 0.70788 11.3% 13.9 176s
22052 4700 0.66205 67 249 0.63590 0.70788 11.3% 13.9 180s
22055 4702 0.67437 74 256 0.63590 0.70788 11.3% 13.9 185s
22060 4705 0.67055 60 260 0.63590 0.70788 11.3% 13.9 190s
22066 4709 0.66295 61 260 0.63590 0.70788 11.3% 13.9 195s
22070 4712 0.65846 57 264 0.63590 0.70788 11.3% 13.9 200s
22076 4716 0.64999 56 250 0.63590 0.70788 11.3% 13.9 205s
22081 4719 0.70449 40 256 0.63590 0.70788 11.3% 13.9 211s
22085 4722 0.66645 72 257 0.63590 0.70788 11.3% 13.9 215s
22089 4724 0.66954 68 244 0.63590 0.70788 11.3% 13.9 220s
22094 4728 0.68465 51 259 0.63590 0.70788 11.3% 13.9 226s
22098 4730 0.66892 73 259 0.63590 0.70788 11.3% 13.9 231s
22102 4733 0.68455 57 258 0.63590 0.70788 11.3% 13.9 236s
22105 4735 0.70656 43 256 0.63590 0.70788 11.3% 13.9 240s
22109 4738 0.65776 112 259 0.63590 0.70788 11.3% 13.9 245s
22114 4741 0.70587 64 254 0.63590 0.70788 11.3% 13.9 251s
22118 4744 0.69636 62 256 0.63590 0.70788 11.3% 13.8 256s
22122 4746 0.67232 66 254 0.63590 0.70788 11.3% 13.8 261s
22126 4749 0.67800 59 254 0.63590 0.70788 11.3% 13.8 265s
22132 4753 0.68062 62 252 0.63590 0.70788 11.3% 13.8 270s
22136 4756 0.68685 67 260 0.63590 0.70788 11.3% 13.8 275s
22140 4758 0.65870 52 251 0.63590 0.70788 11.3% 13.8 280s
22146 4762 0.66445 72 258 0.63590 0.70788 11.3% 13.8 285s
22150 4765 0.65321 68 248 0.63590 0.70788 11.3% 13.8 290s
22154 4768 0.70689 43 253 0.63590 0.70788 11.3% 13.8 295s
22158 4771 0.70788 28 225 0.63590 0.70788 11.3% 15.5 302s
22160 4771 0.70788 29 232 0.63590 0.70788 11.3% 15.5 307s
22167 4770 infeasible 32 0.63590 0.70788 11.3% 15.5 310s
22398 4762 0.63729 53 111 0.63590 0.70788 11.3% 16.1 315s
22856 4803 infeasible 37 0.63590 0.69785 9.74% 17.1 320s
23526 4792 infeasible 53 0.63590 0.69080 8.63% 18.0 325s
24188 4781 0.67493 40 173 0.63590 0.68572 7.84% 18.8 330s
24851 4728 infeasible 42 0.63590 0.67901 6.78% 19.5 335s
25481 4626 0.63955 48 132 0.63590 0.67253 5.76% 20.4 340s
26126 4497 cutoff 53 0.63590 0.66489 4.56% 21.2 345s
26767 4336 0.64118 45 86 0.63590 0.66045 3.86% 21.9 350s
27404 4141 0.63716 56 98 0.63590 0.65353 2.77% 22.5 355s
28379 3777 infeasible 50 0.63590 0.64864 2.00% 22.9 360s
29525 3214 0.64224 51 84 0.63590 0.64395 1.27% 23.4 366s
Cutting planes:
Learned: 1
Gomory: 147
Cover: 14
Implied bound: 21
Projected implied bound: 41
Clique: 9
MIR: 150
StrongCG: 1
Flow cover: 526
Flow path: 1
GUB cover: 1
Inf proof: 43
Explored 30198 nodes (728227 simplex iterations) in 368.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.635897 0.635897 0.635897
Optimal solution found (tolerance 1.00e-02)
Best objective 6.358967896207e-01, best bound 6.418420909989e-01, gap 0.9349%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa5m84jz1.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 9493 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0vsxxwz7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 9493 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.627501
Presolve removed 767 rows and 477 columns
Presolve time: 0.04s
Presolved: 1724 rows, 1315 columns, 6399 nonzeros
Variable types: 729 continuous, 586 integer (581 binary)
Root relaxation: objective 1.228223e+00, 1385 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22822 0 93 0.62750 1.22822 95.7% - 0s
0 0 1.19141 0 118 0.62750 1.19141 89.9% - 0s
0 0 1.19115 0 119 0.62750 1.19115 89.8% - 0s
0 0 1.16190 0 139 0.62750 1.16190 85.2% - 0s
0 0 1.16057 0 135 0.62750 1.16057 85.0% - 0s
0 0 1.15939 0 136 0.62750 1.15939 84.8% - 0s
0 0 1.15927 0 135 0.62750 1.15927 84.7% - 0s
0 0 1.15917 0 138 0.62750 1.15917 84.7% - 0s
0 0 1.15914 0 135 0.62750 1.15914 84.7% - 0s
0 0 1.15794 0 138 0.62750 1.15794 84.5% - 0s
0 0 1.15535 0 142 0.62750 1.15535 84.1% - 0s
0 0 1.15535 0 142 0.62750 1.15535 84.1% - 0s
0 0 1.15535 0 103 0.62750 1.15535 84.1% - 0s
0 2 1.15535 0 103 0.62750 1.15535 84.1% - 0s
749 529 0.89583 21 149 0.62750 1.03879 65.5% 18.2 5s
1850 670 0.90043 23 143 0.62750 0.97324 55.1% 23.2 10s
3687 1156 0.79844 42 101 0.62750 0.91307 45.5% 21.3 15s
7801 1948 infeasible 53 0.62750 0.79638 26.9% 15.7 20s
11644 2690 0.73244 73 89 0.62750 0.75897 21.0% 14.4 25s
16141 3993 0.72713 63 94 0.62750 0.74216 18.3% 13.3 30s
19986 4946 0.63596 111 29 0.62750 0.73131 16.5% 13.2 35s
20950 5189 0.70190 45 103 0.62750 0.72861 16.1% 13.3 53s
20954 5192 0.65164 114 195 0.62750 0.72861 16.1% 13.3 55s
20964 5198 0.70741 71 226 0.62750 0.72861 16.1% 13.3 60s
20969 5202 0.69892 42 234 0.62750 0.72861 16.1% 13.3 65s
20976 5206 0.64537 95 247 0.62750 0.72861 16.1% 13.3 70s
20984 5212 0.67634 88 263 0.62750 0.72861 16.1% 13.3 75s
20990 5216 0.66063 83 241 0.62750 0.72861 16.1% 13.3 80s
20994 5218 0.72123 57 245 0.62750 0.72861 16.1% 13.3 85s
20998 5221 0.71143 75 246 0.62750 0.72861 16.1% 13.3 90s
21004 5225 0.72012 66 265 0.62750 0.72861 16.1% 13.3 95s
21010 5229 0.65620 71 248 0.62750 0.72861 16.1% 13.3 100s
21015 5232 0.63512 143 251 0.62750 0.72861 16.1% 13.3 106s
21019 5235 0.68952 44 253 0.62750 0.72861 16.1% 13.3 111s
21024 5238 0.66323 69 263 0.62750 0.72861 16.1% 13.3 116s
21028 5241 0.68091 93 251 0.62750 0.72861 16.1% 13.3 120s
21033 5244 0.70858 74 261 0.62750 0.72861 16.1% 13.3 125s
21038 5248 0.69786 43 267 0.62750 0.72861 16.1% 13.3 131s
21042 5250 0.71813 76 280 0.62750 0.72861 16.1% 13.3 135s
21047 5254 0.72719 68 274 0.62750 0.72861 16.1% 13.3 140s
21052 5257 0.67482 90 278 0.62750 0.72861 16.1% 13.3 145s
21057 5260 0.66435 54 278 0.62750 0.72861 16.1% 13.2 150s
21063 5264 0.63815 46 282 0.62750 0.72861 16.1% 13.2 156s
21067 5267 0.63572 91 282 0.62750 0.72861 16.1% 13.2 160s
21071 5270 0.62937 124 282 0.62750 0.72861 16.1% 13.2 165s
21075 5272 0.68988 78 275 0.62750 0.72861 16.1% 13.2 170s
21079 5275 0.64655 86 283 0.62750 0.72861 16.1% 13.2 175s
21083 5278 0.70469 74 288 0.62750 0.72861 16.1% 13.2 182s
21085 5279 0.63526 82 279 0.62750 0.72861 16.1% 13.2 185s
21090 5282 0.66063 83 286 0.62750 0.72861 16.1% 13.2 190s
21095 5286 0.65768 76 282 0.62750 0.72861 16.1% 13.2 195s
21100 5289 0.69264 73 286 0.62750 0.72861 16.1% 13.2 200s
21106 5293 0.68633 113 284 0.62750 0.72861 16.1% 13.2 205s
21112 5297 0.63111 51 284 0.62750 0.72861 16.1% 13.2 210s
21117 5300 0.70643 72 286 0.62750 0.72861 16.1% 13.2 216s
21121 5303 0.70874 68 279 0.62750 0.72861 16.1% 13.2 220s
21127 5307 0.65221 79 288 0.62750 0.72861 16.1% 13.2 225s
21131 5310 0.71050 88 292 0.62750 0.72861 16.1% 13.2 230s
21136 5313 0.67103 92 288 0.62750 0.72861 16.1% 13.2 235s
21142 5317 0.71813 76 282 0.62750 0.72861 16.1% 13.2 242s
21144 5318 0.67820 73 275 0.62750 0.72861 16.1% 13.2 245s
21147 5321 0.72861 23 254 0.62750 0.72861 16.1% 15.7 255s
21149 5323 0.72861 24 229 0.62750 0.72861 16.1% 15.7 260s
21173 5323 0.68904 29 197 0.62750 0.72861 16.1% 16.2 265s
21304 5308 0.71266 37 215 0.62750 0.72861 16.1% 17.0 270s
21473 5299 infeasible 38 0.62750 0.72861 16.1% 17.8 276s
21792 5307 0.72006 40 208 0.62750 0.72861 16.1% 18.6 280s
22127 5271 0.68928 44 188 0.62750 0.72861 16.1% 19.8 285s
22607 5246 infeasible 42 0.62750 0.72124 14.9% 20.9 290s
23075 5217 0.63846 45 164 0.62750 0.71159 13.4% 21.7 295s
23777 5106 0.67920 44 190 0.62750 0.70067 11.7% 22.7 300s
24558 4996 0.67768 46 148 0.62750 0.69170 10.2% 23.5 306s
25233 4872 0.66752 54 158 0.62750 0.68755 9.57% 24.2 310s
26214 4788 0.64231 51 99 0.62750 0.67759 7.98% 24.7 318s
26315 4747 cutoff 50 0.62750 0.67687 7.87% 24.7 320s
27609 4435 cutoff 53 0.62750 0.66996 6.77% 25.3 325s
28992 3990 infeasible 49 0.62750 0.66229 5.54% 25.8 331s
H29560 3558 0.6275012 0.66005 5.19% 25.9 334s
29817 3433 infeasible 52 0.62750 0.65837 4.92% 26.1 337s
30961 3082 0.63805 53 138 0.62750 0.65310 4.08% 26.3 340s
32102 2585 0.63693 54 101 0.62750 0.64759 3.20% 26.5 345s
33605 1804 infeasible 57 0.62750 0.64055 2.08% 26.6 350s
34839 1083 0.63272 58 67 0.62750 0.63547 1.27% 26.4 355s
Cutting planes:
Learned: 2
Gomory: 150
Cover: 18
Implied bound: 40
Projected implied bound: 47
Clique: 16
MIR: 227
StrongCG: 3
Flow cover: 759
Flow path: 1
GUB cover: 1
Inf proof: 97
Zero half: 1
Network: 2
Explored 35547 nodes (937521 simplex iterations) in 356.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.627501 0.627501
Optimal solution found (tolerance 1.00e-02)
Best objective 6.275012016965e-01, best bound 6.330901328661e-01, gap 0.8907%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkhlbao30.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 9670 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpevd_ir7s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 9670 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.617642
Presolve removed 780 rows and 485 columns
Presolve time: 0.04s
Presolved: 1757 rows, 1340 columns, 6522 nonzeros
Variable types: 743 continuous, 597 integer (592 binary)
Root relaxation: objective 1.205542e+00, 1556 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20554 0 94 0.61764 1.20554 95.2% - 0s
0 0 1.16765 0 123 0.61764 1.16765 89.0% - 0s
0 0 1.16696 0 118 0.61764 1.16696 88.9% - 0s
0 0 1.13829 0 153 0.61764 1.13829 84.3% - 0s
0 0 1.13772 0 150 0.61764 1.13772 84.2% - 0s
0 0 1.13384 0 152 0.61764 1.13384 83.6% - 0s
0 0 1.13240 0 150 0.61764 1.13240 83.3% - 0s
0 0 1.12998 0 147 0.61764 1.12998 83.0% - 0s
0 0 1.12998 0 150 0.61764 1.12998 83.0% - 0s
0 0 1.12087 0 155 0.61764 1.12087 81.5% - 0s
0 0 1.12086 0 154 0.61764 1.12086 81.5% - 0s
0 0 1.12023 0 156 0.61764 1.12023 81.4% - 0s
0 0 1.12007 0 156 0.61764 1.12007 81.3% - 0s
0 0 1.11812 0 152 0.61764 1.11812 81.0% - 0s
0 0 1.11812 0 153 0.61764 1.11812 81.0% - 0s
0 0 1.11732 0 153 0.61764 1.11732 80.9% - 0s
0 0 1.11715 0 154 0.61764 1.11715 80.9% - 0s
0 0 1.11715 0 116 0.61764 1.11715 80.9% - 0s
0 2 1.11715 0 114 0.61764 1.11715 80.9% - 0s
762 511 0.90968 13 142 0.61764 1.05466 70.8% 17.9 5s
1438 620 0.87743 30 139 0.61764 0.98871 60.1% 26.2 10s
3409 1278 cutoff 35 0.61764 0.91215 47.7% 22.9 15s
6039 2086 infeasible 48 0.61764 0.85593 38.6% 18.7 20s
10086 3386 0.64340 78 111 0.61764 0.80714 30.7% 16.0 25s
13188 4450 infeasible 46 0.61764 0.79063 28.0% 15.1 30s
16526 5269 infeasible 67 0.61764 0.76883 24.5% 15.0 35s
19855 5849 infeasible 58 0.61764 0.75357 22.0% 14.8 40s
21294 6091 0.69208 72 116 0.61764 0.74655 20.9% 14.7 59s
21297 6093 0.70797 71 180 0.61764 0.74655 20.9% 14.6 60s
21308 6100 0.73984 67 200 0.61764 0.74655 20.9% 14.6 65s
21317 6106 0.71241 85 197 0.61764 0.74655 20.9% 14.6 70s
21323 6110 0.68603 44 226 0.61764 0.74655 20.9% 14.6 75s
21327 6113 0.66949 73 223 0.61764 0.74655 20.9% 14.6 80s
21333 6117 0.65448 65 218 0.61764 0.74655 20.9% 14.6 86s
21337 6120 0.65491 56 235 0.61764 0.74655 20.9% 14.6 90s
21340 6122 0.68314 69 242 0.61764 0.74655 20.9% 14.6 95s
21347 6126 0.73101 64 229 0.61764 0.74655 20.9% 14.6 101s
21352 6130 0.74366 64 244 0.61764 0.74655 20.9% 14.6 105s
21356 6132 0.70503 75 230 0.61764 0.74655 20.9% 14.6 110s
21361 6136 0.66976 88 217 0.61764 0.74655 20.9% 14.6 115s
21369 6141 0.66459 92 229 0.61764 0.74655 20.9% 14.6 121s
21374 6144 0.72124 63 242 0.61764 0.74655 20.9% 14.6 125s
21377 6146 0.69260 73 243 0.61764 0.74655 20.9% 14.6 130s
21381 6149 0.73707 72 247 0.61764 0.74655 20.9% 14.6 135s
21387 6153 0.67471 90 237 0.61764 0.74655 20.9% 14.6 142s
21390 6155 0.67463 71 231 0.61764 0.74655 20.9% 14.6 145s
21395 6158 0.67938 73 234 0.61764 0.74655 20.9% 14.6 150s
21400 6162 0.68348 106 229 0.61764 0.74655 20.9% 14.6 156s
21405 6165 0.72320 72 218 0.61764 0.74655 20.9% 14.6 161s
21407 6166 0.72744 77 234 0.61764 0.74655 20.9% 14.6 165s
21411 6169 0.72675 68 244 0.61764 0.74655 20.9% 14.6 171s
21415 6172 0.71991 59 229 0.61764 0.74655 20.9% 14.6 176s
21418 6174 0.71028 51 222 0.61764 0.74655 20.9% 14.6 180s
21421 6176 0.73893 70 225 0.61764 0.74655 20.9% 14.6 185s
21425 6178 0.63495 177 237 0.61764 0.74655 20.9% 14.6 191s
21428 6180 0.73579 66 231 0.61764 0.74655 20.9% 14.6 195s
H21432 5871 0.6176418 0.74655 20.9% 14.6 201s
21437 5874 0.65491 56 238 0.61764 0.74655 20.9% 14.6 206s
21441 5877 0.70522 61 241 0.61764 0.74655 20.9% 14.6 211s
21445 5880 0.71513 36 238 0.61764 0.74655 20.9% 14.5 216s
21449 5882 0.73880 64 243 0.61764 0.74655 20.9% 14.5 220s
21452 5884 0.74366 64 234 0.61764 0.74655 20.9% 14.5 225s
21457 5888 0.63537 116 247 0.61764 0.74655 20.9% 14.5 230s
21461 5890 0.66976 88 249 0.61764 0.74655 20.9% 14.5 235s
21466 5894 0.74436 60 252 0.61764 0.74655 20.9% 14.5 240s
21471 5897 0.69528 73 245 0.61764 0.74655 20.9% 14.5 245s
21475 5900 0.73403 61 240 0.61764 0.74655 20.9% 14.5 250s
21478 5902 0.69190 76 229 0.61764 0.74655 20.9% 14.5 255s
21482 5904 0.65470 89 243 0.61764 0.74655 20.9% 14.5 262s
21484 5906 0.74538 62 247 0.61764 0.74655 20.9% 14.5 265s
21489 5909 0.72950 71 251 0.61764 0.74655 20.9% 14.5 270s
21494 5912 0.69208 72 249 0.61764 0.74655 20.9% 14.5 275s
21499 5916 0.65936 68 245 0.61764 0.74655 20.9% 14.5 280s
21504 5919 0.74403 74 249 0.61764 0.74655 20.9% 14.5 285s
21508 5922 0.73984 67 254 0.61764 0.74655 20.9% 14.5 290s
21513 5925 0.66345 95 262 0.61764 0.74655 20.9% 14.5 295s
21517 5928 0.71241 85 262 0.61764 0.74655 20.9% 14.5 300s
21522 5931 0.72070 65 258 0.61764 0.74655 20.9% 14.5 305s
21527 5934 0.66949 73 265 0.61764 0.74655 20.9% 14.5 310s
21532 5938 0.73934 53 260 0.61764 0.74655 20.9% 14.5 316s
21534 5940 cutoff 25 0.61764 0.74655 20.9% 17.1 325s
21536 5938 0.74655 26 256 0.61764 0.74655 20.9% 17.1 332s
21538 5939 0.74655 27 253 0.61764 0.74655 20.9% 17.1 338s
21539 5939 0.73491 28 250 0.61764 0.74655 20.9% 17.2 341s
21564 5937 cutoff 35 0.61764 0.74412 20.5% 17.5 345s
21734 5926 0.71255 38 210 0.61764 0.73150 18.4% 18.1 350s
22271 5955 0.62249 59 102 0.61764 0.70908 14.8% 18.8 355s
23060 6018 infeasible 52 0.61764 0.69950 13.3% 19.5 360s
23758 6004 0.68080 49 149 0.61764 0.69348 12.3% 20.1 365s
24471 5974 0.62510 71 97 0.61764 0.68708 11.2% 20.6 370s
25356 5939 0.65466 57 145 0.61764 0.68027 10.1% 21.4 375s
26414 5817 0.64745 55 141 0.61764 0.67391 9.11% 21.8 380s
27438 5677 infeasible 59 0.61764 0.66488 7.65% 22.3 386s
H27443 5374 0.6176418 0.66488 7.65% 22.3 386s
28224 5164 0.62141 64 75 0.61764 0.65939 6.76% 22.5 391s
29445 4913 0.64297 55 126 0.61764 0.65405 5.90% 22.8 396s
30380 4682 0.62475 53 92 0.61764 0.64977 5.20% 23.0 400s
32104 4281 0.62338 55 102 0.61764 0.64084 3.76% 23.1 406s
33586 3856 infeasible 62 0.61764 0.63710 3.15% 23.2 411s
34964 3394 0.63359 57 105 0.61764 0.63410 2.66% 23.2 416s
36218 2910 infeasible 62 0.61764 0.63184 2.30% 23.3 420s
37648 2328 infeasible 65 0.61764 0.62948 1.92% 23.3 425s
39241 1814 cutoff 63 0.61764 0.62732 1.57% 23.3 430s
40159 1612 0.61936 61 86 0.61764 0.62576 1.31% 23.3 435s
H40170 1612 0.6176418 0.62576 1.31% 23.3 435s
Cutting planes:
Learned: 6
Gomory: 177
Cover: 17
Implied bound: 34
Projected implied bound: 84
Clique: 11
MIR: 211
StrongCG: 4
Flow cover: 776
Flow path: 2
GUB cover: 1
Inf proof: 145
Explored 41122 nodes (962705 simplex iterations) in 438.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.617642 0.617642 0.617642 0.617642
Optimal solution found (tolerance 1.00e-02)
Best objective 6.176418046529e-01, best bound 6.236402788098e-01, gap 0.9712%
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4m7ad3qc.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 9847 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptyn8e9ci.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 9847 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.614697
Presolve removed 793 rows and 493 columns
Presolve time: 0.05s
Presolved: 1790 rows, 1365 columns, 6645 nonzeros
Variable types: 757 continuous, 608 integer (603 binary)
Root relaxation: objective 1.200190e+00, 1249 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20019 0 101 0.61470 1.20019 95.2% - 0s
0 0 1.16405 0 125 0.61470 1.16405 89.4% - 0s
0 0 1.16338 0 120 0.61470 1.16338 89.3% - 0s
0 0 1.13200 0 152 0.61470 1.13200 84.2% - 0s
0 0 1.13033 0 153 0.61470 1.13033 83.9% - 0s
0 0 1.12453 0 152 0.61470 1.12453 82.9% - 0s
0 0 1.12248 0 147 0.61470 1.12248 82.6% - 0s
0 0 1.12006 0 150 0.61470 1.12006 82.2% - 0s
0 0 1.11578 0 155 0.61470 1.11578 81.5% - 0s
0 0 1.11577 0 155 0.61470 1.11577 81.5% - 0s
0 0 1.11226 0 155 0.61470 1.11226 80.9% - 0s
0 0 1.11160 0 152 0.61470 1.11160 80.8% - 0s
0 0 1.11137 0 157 0.61470 1.11137 80.8% - 0s
0 0 1.11128 0 156 0.61470 1.11128 80.8% - 0s
0 0 1.11128 0 158 0.61470 1.11128 80.8% - 0s
0 0 1.11128 0 158 0.61470 1.11128 80.8% - 0s
0 0 1.11128 0 158 0.61470 1.11128 80.8% - 0s
0 0 1.11128 0 121 0.61470 1.11128 80.8% - 0s
0 2 1.11128 0 119 0.61470 1.11128 80.8% - 0s
781 581 0.92095 35 142 0.61470 0.99794 62.3% 15.2 5s
1061 634 0.96355 19 149 0.61470 0.97101 58.0% 26.7 10s
2586 941 0.81835 30 158 0.61470 0.92067 49.8% 24.4 15s
4656 1623 0.70047 44 125 0.61470 0.86922 41.4% 22.0 21s
7263 2173 infeasible 47 0.61470 0.83067 35.1% 19.3 25s
9402 2495 infeasible 49 0.61470 0.80687 31.3% 17.6 30s
11589 2941 infeasible 37 0.61470 0.79125 28.7% 16.7 35s
15131 3788 0.72097 76 96 0.61470 0.77004 25.3% 15.7 40s
17967 4283 0.69441 33 189 0.61470 0.74553 21.3% 15.7 45s
20919 5073 0.69159 51 121 0.61470 0.73510 19.6% 15.1 70s
20934 5083 0.71630 57 236 0.61470 0.73510 19.6% 15.1 76s
20939 5086 0.65882 66 254 0.61470 0.73510 19.6% 15.1 80s
20944 5090 0.72996 45 274 0.61470 0.73510 19.6% 15.1 85s
20948 5092 0.65846 51 264 0.61470 0.73510 19.6% 15.1 90s
20953 5096 0.70852 81 273 0.61470 0.73510 19.6% 15.1 96s
20955 5097 0.71758 65 279 0.61470 0.73510 19.6% 15.1 100s
20959 5100 0.63926 102 280 0.61470 0.73510 19.6% 15.1 106s
20963 5102 0.70853 28 288 0.61470 0.73510 19.6% 15.1 111s
20967 5105 0.64020 92 279 0.61470 0.73510 19.6% 15.1 116s
20972 5108 0.62946 70 299 0.61470 0.73510 19.6% 15.1 120s
20976 5111 0.65343 79 295 0.61470 0.73510 19.6% 15.1 125s
20980 5114 0.70479 64 296 0.61470 0.73510 19.6% 15.1 130s
20986 5118 0.62537 76 292 0.61470 0.73510 19.6% 15.1 135s
20991 5121 0.68385 77 283 0.61470 0.73510 19.6% 15.1 141s
20995 5124 0.65662 72 293 0.61470 0.73510 19.6% 15.0 145s
20998 5126 0.63757 98 298 0.61470 0.73510 19.6% 15.0 150s
21002 5128 0.69022 52 293 0.61470 0.73510 19.6% 15.0 155s
21006 5131 0.63322 46 292 0.61470 0.73510 19.6% 15.0 160s
21009 5133 0.71854 75 300 0.61470 0.73510 19.6% 15.0 165s
21013 5136 0.70048 62 287 0.61470 0.73510 19.6% 15.0 170s
21016 5138 0.67373 60 299 0.61470 0.73510 19.6% 15.0 175s
21020 5140 0.69805 87 299 0.61470 0.73510 19.6% 15.0 181s
21023 5142 0.65291 63 298 0.61470 0.73510 19.6% 15.0 185s
21028 5146 0.62716 147 296 0.61470 0.73510 19.6% 15.0 190s
21033 5149 0.71308 77 289 0.61470 0.73510 19.6% 15.0 196s
H21034 4890 0.6146973 0.73510 19.6% 15.0 199s
21036 4891 0.70552 49 307 0.61470 0.73510 19.6% 15.0 200s
21039 4893 0.65882 66 293 0.61470 0.73510 19.6% 15.0 205s
21042 4895 0.62922 124 304 0.61470 0.73510 19.6% 15.0 210s
21045 4897 0.70640 70 296 0.61470 0.73510 19.6% 15.0 216s
21048 4899 0.65846 51 299 0.61470 0.73510 19.6% 15.0 220s
21051 4901 0.65456 58 298 0.61470 0.73510 19.6% 15.0 226s
21055 4904 0.71758 65 299 0.61470 0.73510 19.6% 15.0 231s
21058 4906 0.70145 77 306 0.61470 0.73510 19.6% 15.0 235s
21062 4908 0.71709 51 295 0.61470 0.73510 19.6% 15.0 240s
21067 4912 0.64020 92 300 0.61470 0.73510 19.6% 15.0 245s
21071 4914 0.69996 54 279 0.61470 0.73510 19.6% 15.0 251s
21075 4917 0.72720 46 291 0.61470 0.73510 19.6% 15.0 255s
21078 4919 0.64838 71 303 0.61470 0.73510 19.6% 15.0 260s
21082 4922 0.70771 73 294 0.61470 0.73510 19.6% 15.0 265s
21086 4924 0.62537 76 296 0.61470 0.73510 19.6% 15.0 270s
21091 4928 0.68385 77 294 0.61470 0.73510 19.6% 15.0 275s
21095 4930 0.65662 72 296 0.61470 0.73510 19.6% 15.0 280s
21100 4934 0.69944 55 295 0.61470 0.73510 19.6% 15.0 285s
21104 4936 0.67945 60 291 0.61470 0.73510 19.6% 15.0 290s
21109 4940 0.71854 75 287 0.61470 0.73510 19.6% 15.0 296s
21113 4942 0.70048 62 297 0.61470 0.73510 19.6% 15.0 300s
21117 4945 0.65971 109 285 0.61470 0.73510 19.6% 15.0 305s
21122 4948 0.70999 64 288 0.61470 0.73510 19.6% 15.0 310s
21126 4951 0.63119 88 292 0.61470 0.73510 19.6% 15.0 315s
21130 4954 0.64370 103 294 0.61470 0.73510 19.6% 15.0 320s
21135 4957 0.69950 83 302 0.61470 0.73510 19.6% 14.9 327s
21137 4959 0.70416 24 263 0.61470 0.73510 19.6% 17.8 335s
21139 4959 0.66791 25 240 0.61470 0.73510 19.6% 17.8 343s
21143 4961 0.62397 27 222 0.61470 0.73510 19.6% 17.8 345s
21188 4964 0.70436 37 260 0.61470 0.73510 19.6% 18.4 350s
21204 4972 infeasible 42 0.61470 0.73510 19.6% 18.9 356s
21304 4982 infeasible 43 0.61470 0.73510 19.6% 19.4 361s
21451 4960 infeasible 70 0.61470 0.73510 19.6% 19.8 365s
21561 4950 infeasible 34 0.61470 0.73510 19.6% 20.4 370s
21712 4948 0.71312 42 188 0.61470 0.73510 19.6% 21.2 375s
21777 4934 infeasible 50 0.61470 0.73510 19.6% 21.3 380s
22062 4976 cutoff 43 0.61470 0.72699 18.3% 22.1 385s
22516 4985 0.65753 52 145 0.61470 0.71289 16.0% 22.8 390s
22810 4987 infeasible 42 0.61470 0.70643 14.9% 23.5 395s
23312 4949 0.68990 48 177 0.61470 0.69587 13.2% 24.1 400s
24058 4938 0.65653 56 150 0.61470 0.69034 12.3% 24.6 405s
24749 4977 0.67433 56 157 0.61470 0.68393 11.3% 25.1 411s
25368 5003 0.66474 53 127 0.61470 0.68129 10.8% 25.4 416s
25831 5011 infeasible 50 0.61470 0.67812 10.3% 25.6 420s
26560 4953 infeasible 52 0.61470 0.67518 9.84% 25.8 425s
27359 4911 0.65722 49 102 0.61470 0.67266 9.43% 25.9 430s
28713 4740 0.63985 60 124 0.61470 0.66613 8.37% 26.2 436s
29146 4679 0.62692 51 170 0.61470 0.66419 8.05% 26.4 440s
29906 4555 0.63010 49 121 0.61470 0.66259 7.79% 26.5 446s
30949 4401 cutoff 72 0.61470 0.65932 7.26% 26.8 452s
31460 4291 0.63476 57 95 0.61470 0.65779 7.01% 26.9 456s
32399 4111 0.64582 54 109 0.61470 0.65532 6.61% 27.2 461s
33311 3857 infeasible 55 0.61470 0.65228 6.11% 27.3 467s
33770 3721 infeasible 69 0.61470 0.65096 5.90% 27.4 471s
34320 3667 0.64931 63 109 0.61470 0.64955 5.67% 27.5 475s
34759 3432 0.61494 58 82 0.61470 0.64826 5.46% 27.6 480s
35604 3160 infeasible 66 0.61470 0.64621 5.13% 27.7 485s
36482 3048 infeasible 67 0.61470 0.64436 4.83% 27.8 490s
37666 2999 cutoff 55 0.61470 0.64161 4.38% 28.0 496s
38478 2984 infeasible 74 0.61470 0.64001 4.12% 28.0 500s
39570 2905 0.62765 69 83 0.61470 0.63787 3.77% 28.1 506s
40545 2787 infeasible 64 0.61470 0.63555 3.39% 28.1 511s
41390 2645 infeasible 47 0.61470 0.63382 3.11% 28.2 516s
42182 2472 cutoff 61 0.61470 0.63216 2.84% 28.2 520s
43267 2138 0.62581 61 76 0.61470 0.62947 2.40% 28.2 525s
44210 1783 cutoff 64 0.61470 0.62727 2.05% 28.2 530s
45536 1181 cutoff 68 0.61470 0.62385 1.49% 28.1 535s
Cutting planes:
Learned: 5
Gomory: 186
Cover: 11
Implied bound: 49
Projected implied bound: 49
Clique: 9
MIR: 233
StrongCG: 3
Flow cover: 767
Flow path: 1
Inf proof: 170
Zero half: 2
Explored 46545 nodes (1304567 simplex iterations) in 538.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.614697 0.614697
Optimal solution found (tolerance 1.00e-02)
Best objective 6.146973278936e-01, best bound 6.207139640680e-01, gap 0.9788%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1flfjew5.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 10024 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp92maci95.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 10024 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.607672
Presolve removed 806 rows and 501 columns
Presolve time: 0.04s
Presolved: 1823 rows, 1390 columns, 6768 nonzeros
Variable types: 771 continuous, 619 integer (614 binary)
Root relaxation: objective 1.179401e+00, 1329 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17940 0 98 0.60767 1.17940 94.1% - 0s
0 0 1.14412 0 136 0.60767 1.14412 88.3% - 0s
0 0 1.14387 0 136 0.60767 1.14387 88.2% - 0s
0 0 1.11642 0 149 0.60767 1.11642 83.7% - 0s
0 0 1.11398 0 150 0.60767 1.11398 83.3% - 0s
0 0 1.11320 0 157 0.60767 1.11320 83.2% - 0s
0 0 1.11320 0 158 0.60767 1.11320 83.2% - 0s
0 0 1.11136 0 158 0.60767 1.11136 82.9% - 0s
0 0 1.10832 0 157 0.60767 1.10832 82.4% - 0s
0 0 1.10783 0 157 0.60767 1.10783 82.3% - 0s
0 0 1.10577 0 159 0.60767 1.10577 82.0% - 0s
0 0 1.10458 0 164 0.60767 1.10458 81.8% - 0s
0 0 1.10395 0 170 0.60767 1.10395 81.7% - 0s
0 0 1.09848 0 161 0.60767 1.09848 80.8% - 0s
0 0 1.09617 0 161 0.60767 1.09617 80.4% - 0s
0 0 1.09527 0 160 0.60767 1.09527 80.2% - 0s
0 0 1.09527 0 160 0.60767 1.09527 80.2% - 0s
0 0 1.09527 0 162 0.60767 1.09527 80.2% - 0s
0 0 1.09527 0 162 0.60767 1.09527 80.2% - 0s
0 0 1.09527 0 127 0.60767 1.09527 80.2% - 0s
0 2 1.09527 0 122 0.60767 1.09527 80.2% - 1s
762 557 0.83189 62 145 0.60767 1.02333 68.4% 20.2 5s
1934 771 0.93020 16 163 0.60767 0.96232 58.4% 25.3 10s
4179 1530 0.73392 73 117 0.60767 0.91119 49.9% 22.2 15s
7746 2011 0.77168 36 137 0.60767 0.82175 35.2% 18.4 20s
12100 3112 0.66108 69 63 0.60767 0.77430 27.4% 15.9 25s
16450 4649 0.68859 74 65 0.60767 0.75717 24.6% 14.8 30s
20647 5887 infeasible 63 0.60767 0.74565 22.7% 14.3 35s
21245 6139 0.68196 72 127 0.60767 0.74493 22.6% 14.2 56s
21254 6145 0.72850 59 192 0.60767 0.74493 22.6% 14.2 60s
21261 6150 0.64011 80 225 0.60767 0.74493 22.6% 14.2 65s
21266 6153 0.73535 45 223 0.60767 0.74493 22.6% 14.2 70s
21270 6156 0.73480 51 248 0.60767 0.74493 22.6% 14.2 75s
21275 6159 0.68500 59 265 0.60767 0.74493 22.6% 14.2 80s
21281 6163 0.62494 114 260 0.60767 0.74493 22.6% 14.2 85s
21286 6166 0.67173 120 279 0.60767 0.74493 22.6% 14.2 90s
21291 6170 0.67081 65 265 0.60767 0.74493 22.6% 14.2 95s
21295 6172 0.69065 57 249 0.60767 0.74493 22.6% 14.2 100s
21300 6176 0.65885 128 270 0.60767 0.74493 22.6% 14.2 105s
21304 6178 0.66642 123 266 0.60767 0.74493 22.6% 14.2 111s
21308 6181 0.63261 69 274 0.60767 0.74493 22.6% 14.2 115s
21313 6184 0.66819 125 284 0.60767 0.74493 22.6% 14.2 120s
21317 6187 0.71258 80 281 0.60767 0.74493 22.6% 14.2 125s
21320 6189 0.71326 67 282 0.60767 0.74493 22.6% 14.2 130s
21324 6192 0.70217 66 279 0.60767 0.74493 22.6% 14.2 136s
21328 6194 0.72320 40 287 0.60767 0.74493 22.6% 14.2 140s
21333 6198 0.64194 69 295 0.60767 0.74493 22.6% 14.2 145s
21338 6201 0.73575 46 283 0.60767 0.74493 22.6% 14.2 151s
21342 6204 0.74094 49 283 0.60767 0.74493 22.6% 14.2 155s
21346 6206 0.63515 138 295 0.60767 0.74493 22.6% 14.2 160s
21351 6210 0.70476 64 299 0.60767 0.74493 22.6% 14.2 165s
21356 6213 0.68547 99 304 0.60767 0.74493 22.6% 14.2 170s
21360 6216 0.68848 39 313 0.60767 0.74493 22.6% 14.2 175s
21364 6218 0.72891 82 314 0.60767 0.74493 22.6% 14.1 181s
21367 6220 0.67197 57 318 0.60767 0.74493 22.6% 14.1 185s
21370 6222 0.73480 51 306 0.60767 0.74493 22.6% 14.1 190s
21374 6225 0.65518 64 308 0.60767 0.74493 22.6% 14.1 195s
21379 6228 0.66863 107 315 0.60767 0.74493 22.6% 14.1 200s
21383 6231 0.69270 98 316 0.60767 0.74493 22.6% 14.1 205s
21388 6234 0.70094 37 308 0.60767 0.74493 22.6% 14.1 210s
21393 6238 0.67845 98 299 0.60767 0.74493 22.6% 14.1 215s
21398 6241 0.65942 98 303 0.60767 0.74493 22.6% 14.1 220s
21403 6244 0.73738 56 306 0.60767 0.74493 22.6% 14.1 225s
21408 6248 0.63261 69 307 0.60767 0.74493 22.6% 14.1 230s
21412 6250 0.73143 75 308 0.60767 0.74493 22.6% 14.1 235s
21417 6254 0.71258 80 305 0.60767 0.74493 22.6% 14.1 240s
21422 6257 0.69442 55 306 0.60767 0.74493 22.6% 14.1 245s
21426 6260 0.73534 46 309 0.60767 0.74493 22.6% 14.1 250s
H21429 5945 0.6076720 0.74493 22.6% 14.1 255s
21435 5949 0.60942 155 313 0.60767 0.74493 22.6% 14.1 260s
21440 5952 0.62865 115 315 0.60767 0.74493 22.6% 14.1 265s
21445 5955 0.68196 72 315 0.60767 0.74493 22.6% 14.1 270s
21450 5959 0.67074 72 313 0.60767 0.74493 22.6% 14.1 275s
21454 5961 0.72850 59 321 0.60767 0.74493 22.6% 14.1 281s
21457 5963 0.70463 65 321 0.60767 0.74493 22.6% 14.1 285s
21458 5966 0.74493 21 302 0.60767 0.74493 22.6% 16.9 294s
21460 5965 0.74493 22 305 0.60767 0.74493 22.6% 16.9 304s
21463 5966 0.74493 23 305 0.60767 0.74493 22.6% 17.0 305s
21490 5970 0.64741 28 249 0.60767 0.74493 22.6% 17.4 310s
21559 5953 infeasible 30 0.60767 0.74493 22.6% 18.1 315s
21644 5957 infeasible 47 0.60767 0.74493 22.6% 18.8 321s
21857 5994 0.73924 31 259 0.60767 0.74493 22.6% 19.5 325s
22122 5982 infeasible 35 0.60767 0.74098 21.9% 20.4 330s
22338 5980 0.69260 41 216 0.60767 0.73493 20.9% 21.3 335s
22527 5997 0.71381 34 244 0.60767 0.73246 20.5% 22.4 340s
22862 6029 infeasible 64 0.60767 0.72303 19.0% 23.2 345s
23228 6034 0.67525 40 219 0.60767 0.71300 17.3% 24.1 350s
23704 6112 infeasible 46 0.60767 0.70995 16.8% 24.7 356s
H23845 5828 0.6076720 0.70951 16.8% 25.0 359s
23860 5822 0.67321 58 171 0.60767 0.70936 16.7% 25.0 360s
24274 5848 0.65942 43 150 0.60767 0.70796 16.5% 25.8 365s
24649 5842 cutoff 41 0.60767 0.70551 16.1% 26.3 370s
25214 5880 0.64572 58 143 0.60767 0.70252 15.6% 27.1 376s
25686 5867 cutoff 58 0.60767 0.70015 15.2% 27.7 381s
25875 5847 infeasible 41 0.60767 0.69796 14.9% 28.1 385s
26284 5859 0.62302 54 150 0.60767 0.69468 14.3% 28.9 390s
26582 5894 0.65801 43 178 0.60767 0.69340 14.1% 29.2 400s
26850 5840 0.66340 43 111 0.60767 0.69185 13.9% 29.7 407s
27181 5827 0.64390 43 127 0.60767 0.69017 13.6% 30.0 411s
27887 5764 cutoff 42 0.60767 0.68735 13.1% 30.5 418s
28218 5741 0.63714 53 143 0.60767 0.68515 12.7% 30.9 421s
28510 5716 0.61493 55 104 0.60767 0.68460 12.7% 31.2 426s
28973 5695 0.62555 50 111 0.60767 0.68268 12.3% 31.4 430s
29641 5544 0.61884 38 162 0.60767 0.67992 11.9% 32.3 437s
30090 5468 0.63836 49 149 0.60767 0.67763 11.5% 32.6 442s
30537 5413 0.64496 54 125 0.60767 0.67619 11.3% 33.0 446s
30933 5294 0.62212 57 136 0.60767 0.67358 10.8% 33.2 451s
31532 5192 0.66353 45 183 0.60767 0.67176 10.5% 33.5 456s
32009 5101 infeasible 43 0.60767 0.67021 10.3% 34.0 461s
32493 5022 0.62902 52 129 0.60767 0.66738 9.83% 34.2 466s
33085 4943 0.63144 39 202 0.60767 0.66562 9.54% 34.4 472s
33650 4833 0.61097 64 94 0.60767 0.66346 9.18% 34.7 476s
34271 4729 0.63979 41 204 0.60767 0.66094 8.77% 34.8 480s
34717 4615 infeasible 43 0.60767 0.65920 8.48% 35.0 485s
35733 4402 infeasible 47 0.60767 0.65567 7.90% 35.3 493s
36222 4287 infeasible 53 0.60767 0.65281 7.43% 35.5 498s
36630 4263 0.64153 48 146 0.60767 0.65128 7.18% 35.8 503s
36676 4161 infeasible 58 0.60767 0.65110 7.15% 35.9 507s
37154 4030 infeasible 43 0.60767 0.64945 6.88% 35.9 510s
38051 3812 cutoff 48 0.60767 0.64620 6.34% 36.0 520s
39024 3777 infeasible 50 0.60767 0.64376 5.94% 36.0 527s
39595 3878 infeasible 66 0.60767 0.64271 5.77% 36.0 530s
40590 3990 0.62606 53 101 0.60767 0.64013 5.34% 35.9 536s
41363 4011 infeasible 60 0.60767 0.63844 5.06% 36.0 542s
41785 4023 cutoff 55 0.60767 0.63727 4.87% 36.0 545s
42761 4113 infeasible 48 0.60767 0.63549 4.58% 36.0 551s
43452 4084 cutoff 50 0.60767 0.63399 4.33% 36.0 556s
44095 4004 infeasible 90 0.60767 0.63237 4.06% 36.1 560s
44676 3930 infeasible 47 0.60767 0.63121 3.87% 36.1 565s
45524 3785 infeasible 58 0.60767 0.62957 3.60% 36.1 571s
46427 3635 infeasible 52 0.60767 0.62801 3.35% 36.0 575s
47190 3481 0.61722 54 122 0.60767 0.62676 3.14% 36.0 580s
47913 3300 infeasible 59 0.60767 0.62555 2.94% 36.1 585s
48817 3054 0.61906 62 76 0.60767 0.62368 2.64% 36.0 590s
49916 2603 0.61967 52 124 0.60767 0.62156 2.28% 35.9 595s
50781 2262 infeasible 58 0.60767 0.61997 2.02% 35.8 600s
Cutting planes:
Learned: 3
Gomory: 169
Cover: 19
Implied bound: 69
Projected implied bound: 49
Clique: 9
MIR: 254
StrongCG: 9
Flow cover: 902
Flow path: 3
GUB cover: 1
Inf proof: 215
Network: 2
Explored 50876 nodes (1825320 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.607672 0.607672 0.607672
Time limit reached
Best objective 6.076719894290e-01, best bound 6.198481154457e-01, gap 2.0037%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn_c_ea3k.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 10201 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxhh6tnjz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 10201 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.60355
Presolve removed 819 rows and 509 columns
Presolve time: 0.05s
Presolved: 1856 rows, 1415 columns, 6891 nonzeros
Variable types: 785 continuous, 630 integer (625 binary)
Root relaxation: objective 1.171169e+00, 1341 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17117 0 102 0.60355 1.17117 94.0% - 0s
0 0 1.13677 0 133 0.60355 1.13677 88.3% - 0s
0 0 1.13649 0 133 0.60355 1.13649 88.3% - 0s
0 0 1.11087 0 139 0.60355 1.11087 84.1% - 0s
0 0 1.10842 0 143 0.60355 1.10842 83.6% - 0s
0 0 1.10755 0 146 0.60355 1.10755 83.5% - 0s
0 0 1.10755 0 147 0.60355 1.10755 83.5% - 0s
0 0 1.10540 0 148 0.60355 1.10540 83.1% - 0s
0 0 1.10248 0 153 0.60355 1.10248 82.7% - 0s
0 0 1.10192 0 156 0.60355 1.10192 82.6% - 0s
0 0 1.09977 0 158 0.60355 1.09977 82.2% - 0s
0 0 1.09872 0 160 0.60355 1.09872 82.0% - 0s
0 0 1.09843 0 159 0.60355 1.09843 82.0% - 0s
0 0 1.09270 0 152 0.60355 1.09270 81.0% - 0s
0 0 1.09053 0 154 0.60355 1.09053 80.7% - 0s
0 0 1.08957 0 154 0.60355 1.08957 80.5% - 0s
0 0 1.08957 0 154 0.60355 1.08957 80.5% - 0s
0 0 1.08957 0 154 0.60355 1.08957 80.5% - 0s
0 0 1.08957 0 123 0.60355 1.08957 80.5% - 0s
0 2 1.08957 0 123 0.60355 1.08957 80.5% - 0s
752 547 0.86243 35 142 0.60355 1.02689 70.1% 19.6 5s
1295 703 0.93017 27 183 0.60355 1.01008 67.4% 28.0 10s
2263 912 0.70651 39 178 0.60355 0.97194 61.0% 28.0 15s
H 2275 887 0.6035502 0.97194 61.0% 28.0 15s
3383 1300 0.92073 22 174 0.60355 0.94333 56.3% 27.5 20s
5825 1725 infeasible 48 0.60355 0.85632 41.9% 24.4 25s
8827 2190 infeasible 47 0.60355 0.79791 32.2% 20.9 30s
13373 3912 infeasible 55 0.60355 0.77363 28.2% 17.8 35s
16594 4710 0.76467 74 136 0.60355 0.76512 26.8% 17.0 40s
20611 5851 0.74060 57 123 0.60355 0.75465 25.0% 16.2 64s
20614 5853 0.66559 92 170 0.60355 0.75465 25.0% 16.2 65s
20623 5859 0.75099 41 219 0.60355 0.75465 25.0% 16.2 70s
20633 5866 0.70023 56 227 0.60355 0.75465 25.0% 16.2 75s
20640 5870 0.64426 64 226 0.60355 0.75465 25.0% 16.2 81s
20644 5873 0.75005 86 245 0.60355 0.75465 25.0% 16.2 85s
20648 5876 0.63775 58 235 0.60355 0.75465 25.0% 16.2 90s
20654 5880 0.72161 90 247 0.60355 0.75465 25.0% 16.2 96s
20658 5882 0.70772 36 248 0.60355 0.75465 25.0% 16.2 100s
20665 5887 0.69501 58 257 0.60355 0.75465 25.0% 16.2 105s
20671 5891 0.65827 60 260 0.60355 0.75465 25.0% 16.2 110s
20675 5894 0.73197 48 262 0.60355 0.75465 25.0% 16.2 115s
20679 5896 0.72766 83 251 0.60355 0.75465 25.0% 16.2 120s
20683 5899 0.74653 73 264 0.60355 0.75465 25.0% 16.2 125s
20687 5902 0.69853 35 265 0.60355 0.75465 25.0% 16.2 130s
20691 5904 0.73153 52 261 0.60355 0.75465 25.0% 16.2 136s
20695 5907 0.64929 78 277 0.60355 0.75465 25.0% 16.2 141s
20698 5909 0.64887 49 273 0.60355 0.75465 25.0% 16.2 145s
20702 5912 0.68884 68 291 0.60355 0.75465 25.0% 16.2 150s
20705 5914 0.69502 106 278 0.60355 0.75465 25.0% 16.2 155s
20709 5916 0.72358 59 277 0.60355 0.75465 25.0% 16.1 160s
20714 5920 0.66559 92 283 0.60355 0.75465 25.0% 16.1 165s
20719 5923 0.70095 76 292 0.60355 0.75465 25.0% 16.1 170s
20723 5926 0.75099 41 304 0.60355 0.75465 25.0% 16.1 175s
20727 5928 0.73119 43 292 0.60355 0.75465 25.0% 16.1 180s
20731 5931 0.73839 72 302 0.60355 0.75465 25.0% 16.1 185s
20735 5934 0.70354 75 296 0.60355 0.75465 25.0% 16.1 190s
20739 5936 0.68793 48 280 0.60355 0.75465 25.0% 16.1 195s
20743 5939 0.70731 53 287 0.60355 0.75465 25.0% 16.1 200s
20747 5942 0.66361 92 278 0.60355 0.75465 25.0% 16.1 207s
20749 5943 0.62956 110 301 0.60355 0.75465 25.0% 16.1 210s
20753 5946 0.66255 72 293 0.60355 0.75465 25.0% 16.1 215s
20756 5948 0.69797 80 300 0.60355 0.75465 25.0% 16.1 221s
20759 5950 0.63696 74 293 0.60355 0.75465 25.0% 16.1 225s
20763 5952 0.68884 68 290 0.60355 0.75465 25.0% 16.1 230s
20767 5955 0.74100 70 287 0.60355 0.75465 25.0% 16.1 235s
20770 5957 0.65444 49 289 0.60355 0.75465 25.0% 16.1 240s
20775 5960 0.73197 48 302 0.60355 0.75465 25.0% 16.1 245s
20780 5964 0.66361 92 301 0.60355 0.75465 25.0% 16.1 251s
20783 5966 0.74653 73 288 0.60355 0.75465 25.0% 16.1 255s
20787 5968 0.69853 35 303 0.60355 0.75465 25.0% 16.1 260s
20792 5972 0.73491 39 292 0.60355 0.75465 25.0% 16.1 265s
20797 5975 0.70677 46 307 0.60355 0.75465 25.0% 16.1 270s
20801 5978 0.62550 82 301 0.60355 0.75465 25.0% 16.1 275s
20806 5981 0.72575 42 308 0.60355 0.75465 25.0% 16.1 280s
20811 5984 0.74060 57 310 0.60355 0.75465 25.0% 16.1 285s
20815 5987 0.70304 74 309 0.60355 0.75465 25.0% 16.1 290s
20820 5990 0.65036 139 300 0.60355 0.75465 25.0% 16.1 296s
20824 5993 0.75082 41 299 0.60355 0.75465 25.0% 16.1 300s
20829 5996 0.72746 55 306 0.60355 0.75465 25.0% 16.1 305s
20832 5998 0.73103 47 307 0.60355 0.75465 25.0% 16.1 311s
20834 6003 0.75465 23 268 0.60355 0.75465 25.0% 19.3 322s
20836 6004 0.73459 24 260 0.60355 0.75465 25.0% 19.3 330s
20897 6013 0.66040 32 204 0.60355 0.75465 25.0% 20.0 336s
21060 6019 0.63973 29 216 0.60355 0.75465 25.0% 20.7 340s
21174 6019 0.75046 36 260 0.60355 0.75465 25.0% 21.2 345s
21391 6015 infeasible 47 0.60355 0.75465 25.0% 22.4 350s
21785 6045 0.69150 30 247 0.60355 0.74445 23.3% 23.2 355s
22226 6039 infeasible 48 0.60355 0.73441 21.7% 23.9 360s
22566 6020 0.66414 52 162 0.60355 0.72303 19.8% 24.9 365s
23322 6129 0.62886 71 118 0.60355 0.72033 19.3% 25.5 370s
24151 6184 0.63863 55 177 0.60355 0.71082 17.8% 26.0 376s
24886 6328 0.69197 42 221 0.60355 0.70314 16.5% 26.2 380s
25650 6428 infeasible 39 0.60355 0.69938 15.9% 26.5 386s
H25672 6119 0.6035502 0.69903 15.8% 26.6 386s
25941 6098 infeasible 47 0.60355 0.69811 15.7% 26.7 390s
26931 6146 infeasible 46 0.60355 0.69317 14.8% 26.9 395s
27497 6114 infeasible 40 0.60355 0.69299 14.8% 27.3 400s
28896 6106 0.66153 47 123 0.60355 0.68850 14.1% 27.4 406s
29725 6071 0.64427 52 139 0.60355 0.68538 13.6% 27.7 412s
30710 6060 0.64044 56 90 0.60355 0.68246 13.1% 27.9 417s
31172 6093 0.66430 42 182 0.60355 0.68102 12.8% 28.2 423s
31188 6038 0.65517 43 178 0.60355 0.68102 12.8% 28.2 426s
32255 6124 0.66987 49 170 0.60355 0.67855 12.4% 28.4 432s
33175 6091 0.63167 68 91 0.60355 0.67695 12.2% 28.5 437s
33793 6119 infeasible 56 0.60355 0.67473 11.8% 28.5 440s
34824 6067 0.63921 51 86 0.60355 0.67286 11.5% 28.7 445s
35747 5999 cutoff 56 0.60355 0.66997 11.0% 28.8 451s
36727 5913 0.61635 57 63 0.60355 0.66781 10.6% 29.0 456s
37644 5817 infeasible 48 0.60355 0.66558 10.3% 29.1 461s
38437 5903 cutoff 56 0.60355 0.66281 9.82% 29.4 465s
39084 5971 0.63577 60 114 0.60355 0.66143 9.59% 29.6 470s
40084 6154 0.65504 51 130 0.60355 0.65916 9.21% 29.7 475s
41003 6356 0.61476 54 116 0.60355 0.65728 8.90% 29.8 480s
41992 6616 0.64340 52 164 0.60355 0.65573 8.64% 29.8 485s
42821 6710 0.61381 65 64 0.60355 0.65438 8.42% 30.0 490s
43620 6831 cutoff 73 0.60355 0.65232 8.08% 30.1 495s
44488 6975 infeasible 53 0.60355 0.65092 7.85% 30.3 500s
45165 7023 0.60636 56 84 0.60355 0.64967 7.64% 30.4 505s
46549 7148 0.62190 63 130 0.60355 0.64762 7.30% 30.4 511s
47448 7210 infeasible 53 0.60355 0.64628 7.08% 30.5 515s
48319 7295 cutoff 73 0.60355 0.64522 6.90% 30.6 520s
49413 7349 0.61502 51 150 0.60355 0.64354 6.63% 30.7 526s
50199 7377 0.63082 50 78 0.60355 0.64231 6.42% 30.7 530s
51336 7381 infeasible 57 0.60355 0.64088 6.18% 30.7 535s
52364 7342 infeasible 59 0.60355 0.63945 5.95% 30.7 540s
53443 7287 0.62759 87 90 0.60355 0.63816 5.73% 30.6 545s
54404 7188 infeasible 51 0.60355 0.63705 5.55% 30.7 550s
55521 7097 infeasible 62 0.60355 0.63561 5.31% 30.7 555s
56616 6903 cutoff 32 0.60355 0.63383 5.02% 30.8 561s
57538 6774 infeasible 84 0.60355 0.63273 4.83% 30.8 565s
58657 6589 infeasible 108 0.60355 0.63126 4.59% 30.8 570s
59828 6304 infeasible 69 0.60355 0.62936 4.28% 30.9 575s
60877 6106 infeasible 55 0.60355 0.62795 4.04% 30.9 580s
62167 5856 infeasible 67 0.60355 0.62622 3.76% 30.8 585s
63481 5494 infeasible 57 0.60355 0.62438 3.45% 30.8 590s
64686 5201 infeasible 73 0.60355 0.62293 3.21% 30.7 595s
65701 4869 infeasible 73 0.60355 0.62167 3.00% 30.7 600s
Cutting planes:
Learned: 1
Gomory: 143
Cover: 18
Implied bound: 70
Projected implied bound: 58
Clique: 7
MIR: 266
StrongCG: 9
Flow cover: 806
Flow path: 3
Inf proof: 314
Zero half: 4
Explored 65923 nodes (2027962 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.60355 0.60355 0.60355
Time limit reached
Best objective 6.035502066592e-01, best bound 6.214102205407e-01, gap 2.9592%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt8p_qy78.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 10378 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuvi0fbg2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 10378 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.595851
Presolve removed 832 rows and 517 columns
Presolve time: 0.05s
Presolved: 1889 rows, 1440 columns, 7014 nonzeros
Variable types: 799 continuous, 641 integer (636 binary)
Root relaxation: objective 1.150980e+00, 1489 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15098 0 107 0.59585 1.15098 93.2% - 0s
0 0 1.11748 0 137 0.59585 1.11748 87.5% - 0s
0 0 1.11683 0 134 0.59585 1.11683 87.4% - 0s
0 0 1.08915 0 151 0.59585 1.08915 82.8% - 0s
0 0 1.08743 0 145 0.59585 1.08743 82.5% - 0s
0 0 1.08356 0 149 0.59585 1.08356 81.9% - 0s
0 0 1.08137 0 147 0.59585 1.08137 81.5% - 0s
0 0 1.07411 0 155 0.59585 1.07411 80.3% - 0s
0 0 1.07283 0 157 0.59585 1.07283 80.1% - 0s
0 0 1.07169 0 162 0.59585 1.07169 79.9% - 0s
0 0 1.06989 0 161 0.59585 1.06989 79.6% - 0s
0 0 1.06876 0 161 0.59585 1.06876 79.4% - 0s
0 0 1.06869 0 158 0.59585 1.06869 79.4% - 0s
0 0 1.06464 0 163 0.59585 1.06464 78.7% - 0s
0 0 1.06420 0 163 0.59585 1.06420 78.6% - 0s
0 0 1.06401 0 162 0.59585 1.06401 78.6% - 0s
0 0 1.06401 0 163 0.59585 1.06401 78.6% - 0s
0 0 1.06400 0 164 0.59585 1.06400 78.6% - 0s
0 0 1.06400 0 164 0.59585 1.06400 78.6% - 0s
0 0 1.06400 0 122 0.59585 1.06400 78.6% - 0s
0 2 1.06400 0 120 0.59585 1.06400 78.6% - 0s
753 541 0.83028 44 156 0.59585 0.96401 61.8% 14.7 5s
1713 774 0.85839 19 186 0.59585 0.95064 59.5% 22.5 10s
3302 1175 0.81483 29 198 0.59585 0.91327 53.3% 22.9 15s
H 3303 1175 0.5958509 0.91327 53.3% 22.9 15s
5931 2093 0.84242 40 170 0.59585 0.84746 42.2% 19.5 20s
9432 3130 0.73479 67 150 0.59585 0.79540 33.5% 17.1 25s
12785 4066 infeasible 44 0.59585 0.75418 26.6% 15.8 30s
16721 5612 0.63040 76 130 0.59585 0.74010 24.2% 14.5 35s
20334 6714 0.72644 79 124 0.59585 0.73204 22.9% 13.7 40s
20932 6858 0.70748 91 122 0.59585 0.73013 22.5% 13.7 63s
20936 6861 0.64466 126 248 0.59585 0.73013 22.5% 13.7 65s
20944 6866 0.64222 122 223 0.59585 0.73013 22.5% 13.7 70s
20948 6869 0.71461 74 226 0.59585 0.73013 22.5% 13.7 75s
20952 6871 0.67143 65 243 0.59585 0.73013 22.5% 13.7 81s
20956 6874 0.72862 57 237 0.59585 0.73013 22.5% 13.7 85s
20961 6877 0.72303 47 265 0.59585 0.73013 22.5% 13.7 90s
20965 6880 0.71760 82 274 0.59585 0.73013 22.5% 13.7 95s
20969 6883 0.71607 70 290 0.59585 0.73013 22.5% 13.7 100s
20975 6887 0.67620 60 288 0.59585 0.73013 22.5% 13.7 105s
20979 6889 0.65452 73 283 0.59585 0.73013 22.5% 13.7 111s
20984 6893 0.70350 100 286 0.59585 0.73013 22.5% 13.7 116s
20988 6895 0.64983 76 279 0.59585 0.73013 22.5% 13.7 120s
20991 6897 0.69104 72 295 0.59585 0.73013 22.5% 13.7 125s
20996 6901 0.64501 116 297 0.59585 0.73013 22.5% 13.7 130s
21000 6903 0.69915 68 304 0.59585 0.73013 22.5% 13.7 135s
21004 6906 0.64378 46 294 0.59585 0.73013 22.5% 13.7 140s
21007 6908 0.71110 58 291 0.59585 0.73013 22.5% 13.7 145s
21011 6911 0.69239 95 293 0.59585 0.73013 22.5% 13.7 150s
21015 6913 0.70793 54 293 0.59585 0.73013 22.5% 13.7 156s
21018 6915 0.65259 116 307 0.59585 0.73013 22.5% 13.7 160s
21022 6918 0.66316 129 308 0.59585 0.73013 22.5% 13.7 165s
21027 6921 0.66712 99 310 0.59585 0.73013 22.5% 13.7 170s
21031 6924 0.66560 71 300 0.59585 0.73013 22.5% 13.7 176s
21035 6927 0.64097 63 305 0.59585 0.73013 22.5% 13.7 181s
21039 6929 0.70566 71 298 0.59585 0.73013 22.5% 13.7 187s
21041 6931 0.60623 160 314 0.59585 0.73013 22.5% 13.7 190s
21044 6933 0.64222 122 312 0.59585 0.73013 22.5% 13.7 195s
H21047 6586 0.5958509 0.73013 22.5% 13.7 201s
21052 6589 0.67143 65 314 0.59585 0.73013 22.5% 13.7 207s
21054 6590 0.69316 63 314 0.59585 0.73013 22.5% 13.7 211s
21057 6592 0.71281 73 319 0.59585 0.73013 22.5% 13.7 215s
21060 6594 0.69946 108 315 0.59585 0.73013 22.5% 13.7 220s
H21061 6263 0.5958509 0.73013 22.5% 13.7 223s
21063 6264 0.70007 109 313 0.59585 0.73013 22.5% 13.7 225s
21066 6266 0.72594 51 316 0.59585 0.73013 22.5% 13.7 231s
21069 6268 0.71607 70 321 0.59585 0.73013 22.5% 13.7 235s
21073 6271 0.66359 73 329 0.59585 0.73013 22.5% 13.7 240s
21077 6274 0.62781 91 326 0.59585 0.73013 22.5% 13.7 245s
21082 6277 0.64010 88 324 0.59585 0.73013 22.5% 13.6 251s
21084 6278 0.70350 100 333 0.59585 0.73013 22.5% 13.6 255s
21088 6281 0.64983 76 324 0.59585 0.73013 22.5% 13.6 261s
21091 6283 0.69104 72 324 0.59585 0.73013 22.5% 13.6 265s
21094 6285 0.68061 69 325 0.59585 0.73013 22.5% 13.6 270s
21098 6288 0.68342 91 312 0.59585 0.73013 22.5% 13.6 275s
21101 6290 0.69665 98 326 0.59585 0.73013 22.5% 13.6 280s
21104 6292 0.64378 46 315 0.59585 0.73013 22.5% 13.6 285s
21108 6294 0.60368 114 322 0.59585 0.73013 22.5% 13.6 290s
21111 6296 0.69239 95 320 0.59585 0.73013 22.5% 13.6 295s
21114 6298 0.70120 69 325 0.59585 0.73013 22.5% 13.6 301s
21117 6300 0.67381 97 329 0.59585 0.73013 22.5% 13.6 305s
21121 6303 0.61331 154 320 0.59585 0.73013 22.5% 13.6 310s
21124 6305 0.65778 71 322 0.59585 0.73013 22.5% 13.6 315s
21128 6308 0.71720 73 322 0.59585 0.73013 22.5% 13.6 320s
21132 6310 0.70748 91 327 0.59585 0.73013 22.5% 13.6 326s
21136 6313 0.64466 126 318 0.59585 0.73013 22.5% 13.6 330s
21140 6316 0.69424 56 321 0.59585 0.73013 22.5% 13.6 335s
21144 6318 0.64222 122 325 0.59585 0.73013 22.5% 13.6 342s
21146 6322 0.73013 22 292 0.59585 0.73013 22.5% 17.2 353s
21148 6323 0.72774 23 274 0.59585 0.73013 22.5% 17.3 363s
21155 6323 0.71113 25 259 0.59585 0.73013 22.5% 17.4 365s
21205 6336 0.61220 31 194 0.59585 0.73013 22.5% 17.9 370s
21331 6319 cutoff 36 0.59585 0.73013 22.5% 19.0 375s
21479 6335 0.69215 50 225 0.59585 0.73013 22.5% 20.1 380s
21764 6390 0.73013 35 251 0.59585 0.73013 22.5% 20.9 385s
21937 6396 0.72189 40 248 0.59585 0.73013 22.5% 21.8 390s
22275 6358 0.61790 52 214 0.59585 0.72757 22.1% 23.1 395s
22667 6384 0.64899 43 219 0.59585 0.71831 20.6% 23.8 400s
23127 6377 0.65323 43 228 0.59585 0.70674 18.6% 24.7 406s
23285 6375 0.63166 63 178 0.59585 0.69627 16.9% 25.5 410s
23713 6339 0.66763 44 233 0.59585 0.68735 15.4% 26.3 415s
H24041 6074 0.5958511 0.68563 15.1% 26.6 418s
24043 6068 0.61280 58 173 0.59585 0.68520 15.0% 26.6 420s
24540 6043 0.65891 72 163 0.59585 0.68065 14.2% 27.6 426s
25249 6011 0.66009 71 157 0.59585 0.67121 12.6% 28.3 432s
25877 6063 0.59841 48 186 0.59585 0.66795 12.1% 28.7 437s
26201 6077 0.61772 71 148 0.59585 0.66663 11.9% 28.9 440s
26753 6069 0.59800 71 149 0.59585 0.66426 11.5% 29.7 445s
27067 6045 0.63042 63 161 0.59585 0.66363 11.4% 30.0 451s
27789 6045 0.65999 56 194 0.59585 0.65999 10.8% 30.4 457s
27986 6026 infeasible 64 0.59585 0.65954 10.7% 30.8 461s
28328 6003 0.61737 55 190 0.59585 0.65823 10.5% 31.1 465s
29075 5906 0.63963 62 144 0.59585 0.65680 10.2% 31.8 473s
29476 5878 0.60512 86 113 0.59585 0.65594 10.1% 32.3 478s
30024 5873 0.62509 65 158 0.59585 0.65486 9.90% 32.5 481s
30477 5809 0.63516 53 192 0.59585 0.65378 9.72% 32.8 485s
30920 5757 0.60779 67 114 0.59585 0.65288 9.57% 33.1 490s
31484 5670 cutoff 49 0.59585 0.65197 9.42% 33.4 495s
32311 5553 cutoff 55 0.59585 0.64989 9.07% 34.0 503s
32666 5442 infeasible 55 0.59585 0.64931 8.97% 34.4 507s
33196 5326 infeasible 61 0.59585 0.64931 8.97% 34.7 511s
33734 5268 0.62953 63 158 0.59585 0.64464 8.19% 34.9 516s
34262 5165 infeasible 51 0.59585 0.64450 8.16% 35.2 521s
34803 5037 0.60053 70 151 0.59585 0.64220 7.78% 35.6 525s
35791 4857 infeasible 55 0.59585 0.64048 7.49% 36.1 533s
36204 4746 0.63753 61 160 0.59585 0.63869 7.19% 36.4 537s
36719 4699 0.63623 62 150 0.59585 0.63753 6.99% 36.6 540s
36974 4675 0.62745 68 135 0.59585 0.63702 6.91% 36.7 545s
37584 4477 cutoff 54 0.59585 0.63589 6.72% 36.9 553s
37919 4339 0.63542 53 200 0.59585 0.63542 6.64% 37.2 557s
38393 4234 0.62754 62 152 0.59585 0.63375 6.36% 37.3 562s
39112 3961 infeasible 55 0.59585 0.63176 6.03% 37.6 568s
39414 3934 0.60717 60 202 0.59585 0.63074 5.86% 37.8 572s
40057 3883 infeasible 61 0.59585 0.62884 5.54% 38.0 577s
40427 3880 infeasible 70 0.59585 0.62789 5.38% 38.0 581s
40760 3854 0.62463 63 103 0.59585 0.62704 5.23% 38.3 585s
41500 3861 cutoff 57 0.59585 0.62530 4.94% 38.5 591s
41889 3855 cutoff 47 0.59585 0.62490 4.88% 38.7 595s
42491 3849 cutoff 53 0.59585 0.62332 4.61% 39.2 600s
Cutting planes:
Learned: 2
Gomory: 159
Cover: 22
Implied bound: 50
Projected implied bound: 48
Clique: 15
MIR: 291
Flow cover: 922
Flow path: 4
GUB cover: 1
Inf proof: 213
Explored 42598 nodes (1673492 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.595851 0.595851 0.595851 ... 0.595851
Time limit reached
Best objective 5.958510813351e-01, best bound 6.230374939573e-01, gap 4.5626%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run Lost Sales Cases¶
In [3]:
for per in [30,45,60]:
print("Number of Periods: "+str(per))
for i in range(10):
print()
print("Run "+str(i))
print()
#create environments for 5 cases
seed_train = np.random.randint(1000)
seed_sim = np.random.randint(1000)
print("Seed for training "+str(seed_train))
print("Seed for simulation "+str(seed_sim))
env1_dfo=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_train,'periods':per})
env1_mip=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_train,'periods':per})
env1_mip_pi=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
env1_dfo_online=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
env1_mip_online=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
#run optimizations for backlog scenario
env1_dfo_results = optimize_nv_dfo(env1_dfo)
env1_mip_model, env1_mip_results = optimize_nv_mip(env1_mip,warmstart=True,
solver_kwargs={'TimeLimit':600,'MIPGap':0.00},
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt})
#DFO
#reset env to run simulation with new demand profile and with base stock levels found
env1_dfo=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_dfo.num_periods):
#take a step in the simulation using base stock policy
env1_dfo.step(action=env1_dfo.base_stock_action(z=env1_dfo_results.zopt))
#MIP
zopt = list(env1_mip_model.z.get_values().values()) #extract optimal base stock levels
#reset env to run simulation with new demand profile and with base stock levels found
env1_mip=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_mip.num_periods):
#take a step in the simulation using base stock policy
env1_mip.step(action=env1_mip.base_stock_action(z=zopt))
#MIP PI
env1_mip_pi_model, env1_mip_pi_results = optimize_nv_pi_mip(env1_mip_pi,warmstart=True,
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt,
'perfect_information':True})
#DFO ONLINE
_,_,env1_dfo_online_basestock = online_optimize_nv_dfo(env1_dfo_online)
#MIP ONLINE
_,_,env1_mip_online_basestock = online_optimize_nv_mip(env1_mip_online,
solver_kwargs={'TimeLimit':600,'MIPGap':0.01},
warmstart=True)
#PICKLE
NV_envs = {'DFO':env1_dfo,
'DFO zopt':env1_dfo_results.zopt,
'MIP':env1_mip,
'MIP zopt':list(env1_mip_model.z.get_values().values()),
'Oracle':env1_mip_pi,
'Oracle R':env1_mip_pi_model.R.get_values(),
'oDFO':env1_dfo_online,
'oDFO zopt':env1_dfo_online_basestock,
'oMIP':env1_mip_online,
'oMIP zopt':env1_mip_online_basestock}
file_env = open('NV_LostSales_'+str(per)+'_'+str(i)+'.obj','wb')
pickle.dump(NV_envs,file_env)
Number of Periods: 30
Run 0
Seed for training 732
Seed for simulation 666
direc: array([[-7.36608799e+01, 5.28575263e+01, 5.43394425e+01],
[-9.33795564e+01, 3.41744738e+01, 6.80461789e+01],
[ 6.07522610e-04, -1.02740773e-08, -2.03963670e-08]])
fopt: 0.9050069624744335
fun: -0.9033990035548267
message: 'Optimization terminated successfully.'
nfev: 693
nit: 9
status: 0
success: True
x: array([ 90.94261636, 100. , 139.37785238])
xopt: array([ 91., 101., 140.])
zopt: array([ 91., 192., 332.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcplteely.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqgi8xlsy.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.905007
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.381143e+00, 736 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38114 0 71 0.90501 1.38114 52.6% - 0s
0 0 1.20299 0 78 0.90501 1.20299 32.9% - 0s
0 0 1.20298 0 78 0.90501 1.20298 32.9% - 0s
0 0 1.20112 0 85 0.90501 1.20112 32.7% - 0s
0 0 1.20110 0 89 0.90501 1.20110 32.7% - 0s
0 0 1.18964 0 88 0.90501 1.18964 31.5% - 0s
0 0 1.18961 0 89 0.90501 1.18961 31.4% - 0s
0 0 1.18872 0 86 0.90501 1.18872 31.3% - 0s
0 0 1.18872 0 82 0.90501 1.18872 31.3% - 0s
0 2 1.18872 0 82 0.90501 1.18872 31.3% - 0s
H 1892 619 0.9221349 1.07423 16.5% 17.6 2s
4364 1133 cutoff 34 0.92213 1.02928 11.6% 19.4 5s
* 4553 996 92 0.9380063 1.02661 9.45% 19.4 5s
* 5173 424 109 0.9942032 1.02055 2.65% 19.5 5s
* 6047 342 103 0.9972029 1.00996 1.28% 18.5 6s
Cutting planes:
Gomory: 81
Cover: 3
Implied bound: 22
Projected implied bound: 18
MIR: 15
Flow cover: 47
Inf proof: 38
Explored 7682 nodes (125017 simplex iterations) in 7.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.997203 0.994203 0.938006 ... 0.905007
Optimal solution found (tolerance 0.00e+00)
Best objective 9.972029007087e-01, best bound 9.972029007087e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwqpfjp1m.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp7tf7n2o.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 463 rows and 331 columns
Presolve time: 0.00s
Presolved: 168 rows, 210 columns, 834 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.6691499e+01 4.391250e+02 0.000000e+00 0s
96 1.8014495e+01 0.000000e+00 0.000000e+00 0s
Solved in 96 iterations and 0.00 seconds
Optimal objective 1.801449489e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.13197123e-07, -1.07040399e-08, -4.81605806e-07]])
fopt: 3.3842025673175256
fun: -3.393988820859654
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([ 22.15035505, -1. , -87.99580146])
xopt: array([22., 0., 0.])
zopt: array([22., 22., 22.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.29306812e-03, -2.25029963e-04, -3.70759416e-04]])
fopt: 1.7173296094348174
fun: -1.724024135875467
message: 'Optimization terminated successfully.'
nfev: 205
nit: 3
status: 0
success: True
x: array([51.59891973, -0.99999958, -0.99864144])
xopt: array([52., 0., 0.])
zopt: array([52., 52., 52.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.07276572, 0.00197382, 0.09344318]])
fopt: 1.704949312025648
fun: -1.7227129219646353
message: 'Optimization terminated successfully.'
nfev: 238
nit: 3
status: 0
success: True
x: array([ 71.0000219 , -0.99960842, -86.99083808])
xopt: array([71., 0., 0.])
zopt: array([71., 71., 71.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.13438183, -0.00321775, -0.00177988]])
fopt: 1.2986076920511616
fun: -1.3101990250710616
message: 'Optimization terminated successfully.'
nfev: 281
nit: 3
status: 0
success: True
x: array([ 8.41159741e+01, -9.90612139e-01, -8.24183602e-02])
xopt: array([84., 0., 0.])
zopt: array([84., 84., 84.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.54129875e-09, -1.80552756e-12, -0.00000000e+00]])
fopt: 1.2410686216537916
fun: -1.2450402641879323
message: 'Optimization terminated successfully.'
nfev: 236
nit: 2
status: 0
success: True
x: array([99.56568848, 1.02710716, 1. ])
xopt: array([99., 1., 1.])
zopt: array([ 99., 100., 101.])
*******************************************
Period: 6
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.1022734900618472
fun: -1.1112735658215942
message: 'Optimization terminated successfully.'
nfev: 305
nit: 3
status: 0
success: True
x: array([114.00101399, 1.00000696, 2.26799812])
xopt: array([114., 1., 2.])
zopt: array([114., 115., 117.])
*******************************************
Period: 7
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2408: RuntimeWarning: overflow encountered in double_scalars w = xc + _gold * (xc - xb) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:280: RuntimeWarning: invalid value encountered in subtract T = T - RnL + R #updated pipeline inventory at all stages (exclude last one) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1979: RuntimeWarning: invalid value encountered in double_scalars deltax = a - x # do a golden section step
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1472
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1473
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.20267519e-06, -1.54236198e-04, -1.85558821e+00]])
fopt: 0.9086227676561961
fun: -0.9173026489178279
message: 'Optimization terminated successfully.'
nfev: 688
nit: 8
status: 0
success: True
x: array([161.99999553, 1.07320562, -7.65185645])
xopt: array([161., 2., 0.])
zopt: array([161., 163., 163.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8932698934460435
fun: -0.8981590019506375
message: 'Optimization terminated successfully.'
nfev: 332
nit: 3
status: 0
success: True
x: array([181.99247858, 1. , -0.74491682])
xopt: array([181., 2., 0.])
zopt: array([181., 183., 183.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8586159161431323
fun: -0.8563331463748877
message: 'Optimization terminated successfully.'
nfev: 446
nit: 4
status: 0
success: True
x: array([200.99999751, 2.00034616, 1. ])
xopt: array([200., 2., 2.])
zopt: array([200., 202., 204.])
*******************************************
Period: 12
direc: array([[-0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 22.46827951]])
fopt: 0.8454416614849483
fun: -0.8423183931074325
message: 'Optimization terminated successfully.'
nfev: 546
nit: 6
status: 0
success: True
x: array([199.97743864, 1.00129905, 29.00027848])
xopt: array([199., 1., 30.])
zopt: array([199., 200., 230.])
*******************************************
Period: 13
direc: array([[ 7.46507110e-01, 6.00294450e+00, 6.25740538e+00],
[-6.66157724e-02, -2.72778885e-03, 4.93601901e-02],
[ 1.51272300e+00, 1.21645493e+01, 2.20805932e+01]])
fopt: 0.8886191268735459
fun: -0.8847032178206752
message: 'Optimization terminated successfully.'
nfev: 544
nit: 7
status: 0
success: True
x: array([177.90482502, 21.0728479 , 56.21276897])
xopt: array([177., 21., 57.])
zopt: array([177., 198., 255.])
*******************************************
Period: 14
direc: array([[ 2.75025153e-02, 2.03149520e+00, 2.00033546e+00],
[ 5.28264097e-01, 2.03740661e+01, 4.01590204e+01],
[ 5.69162274e-05, -5.70705425e-05, -1.56219527e-04]])
fopt: 0.9538948476802865
fun: -0.9525819170558312
message: 'Optimization terminated successfully.'
nfev: 677
nit: 8
status: 0
success: True
x: array([155.96435292, 27.00003259, 84.57009167])
xopt: array([155., 28., 84.])
zopt: array([155., 183., 267.])
*******************************************
Period: 15
direc: array([[ -2.24297327, 0. , 1. ],
[ 0. , 1. , 0. ],
[-13.70417813, 0. , 9.20129362]])
fopt: 0.6750030142334097
fun: -0.6762246700265115
message: 'Optimization terminated successfully.'
nfev: 777
nit: 8
status: 0
success: True
x: array([173.95992505, 9.00018204, 21.00000841])
xopt: array([173., 10., 22.])
zopt: array([173., 183., 205.])
*******************************************
Period: 16
direc: array([[ 1.40594216e-09, -6.00512649e-10, -3.01718660e-08],
[-2.06440960e-01, 8.81781277e-02, 9.10421217e-02],
[ 6.16045887e-02, -2.63148994e-02, -2.71697810e-02]])
fopt: 0.8916734222038798
fun: -0.8900533352535146
message: 'Optimization terminated successfully.'
nfev: 1010
nit: 13
status: 0
success: True
x: array([129.86091251, 34.05685873, 116.00063826])
xopt: array([130., 35., 116.])
zopt: array([130., 165., 281.])
*******************************************
Period: 17
direc: array([[-1.87969488e+01, -3.09370181e-02, 1.34532973e+01],
[ 6.35421793e-03, -8.08651130e-04, -4.69973220e-02],
[ 3.79714038e-10, 9.90000000e-01, -2.71768386e-10]])
fopt: 0.8380295704702574
fun: -0.838399853162906
message: 'Optimization terminated successfully.'
nfev: 631
nit: 7
status: 0
success: True
x: array([180.99334909, 6.0030149 , 122.0003355 ])
xopt: array([181., 7., 123.])
zopt: array([181., 188., 311.])
*******************************************
Period: 18
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-154.35601007, 68.16964566, 64.37068185]])
fopt: 0.6467496022270082
fun: -0.6382173827776163
message: 'Optimization terminated successfully.'
nfev: 283
nit: 4
status: 0
success: True
x: array([46.11882232, 71. , 68.00002747])
xopt: array([47., 72., 69.])
zopt: array([ 47., 119., 188.])
*******************************************
Period: 19
direc: array([[ 1.77958809e-02, 3.10454298e+00, 3.08956473e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 5.10338404e-07, 0.00000000e+00, -4.29536328e-07]])
fopt: 0.5110366441511649
fun: -0.5096281767762695
message: 'Optimization terminated successfully.'
nfev: 630
nit: 7
status: 0
success: True
x: array([178.62559793, 6.10454298, 26.01145924])
xopt: array([178., 6., 27.])
zopt: array([178., 184., 211.])
*******************************************
Period: 20
direc: array([[ 4.04816995e+00, 5.26770815e-01, 8.33529063e-04],
[-1.42967626e+01, -1.06459171e+01, 1.62311313e+01],
[ 0.00000000e+00, 0.00000000e+00, 1.55188153e+02]])
fopt: 0.7674848352043613
fun: -0.7608494871259804
message: 'Optimization terminated successfully.'
nfev: 751
nit: 9
status: 0
success: True
x: array([193.04473873, -10.04473873, 178.00000049])
xopt: array([193., 0., 178.])
zopt: array([193., 193., 371.])
*******************************************
Period: 21
direc: array([[-0.00000000e+00, -4.99442251e-07, -4.42541246e-07],
[-1.27405614e+01, 9.44870491e-02, 1.00446936e+01],
[ 1.93759848e-01, -1.37068570e-02, 1.70252960e+02]])
fopt: 0.7428226721553394
fun: -0.7416219991185755
message: 'Optimization terminated successfully.'
nfev: 861
nit: 12
status: 0
success: True
x: array([178.79644988, 4.07003701, 201. ])
xopt: array([178., 5., 202.])
zopt: array([178., 183., 385.])
*******************************************
Period: 22
direc: array([[-2.55716777, 19.94343077, 18.0885846 ],
[ 0. , 1. , 0. ],
[-7.59023518, 10.91508804, 5.16335557]])
fopt: 0.7790967035963596
fun: -0.7776208412070428
message: 'Optimization terminated successfully.'
nfev: 562
nit: 9
status: 0
success: True
x: array([ 92. , 155.00000071, 132.15148285])
xopt: array([ 91., 155., 132.])
zopt: array([ 91., 246., 378.])
*******************************************
Period: 23
direc: array([[147.0001782 , 8.65573415, 8.50911574],
[ 0. , 1. , 0. ],
[ 0. , 0. , 169.41154535]])
fopt: 0.7589027058882934
fun: -0.75874344729384
message: 'Optimization terminated successfully.'
nfev: 966
nit: 11
status: 0
success: True
x: array([180.99999999, 11.00000333, 188. ])
xopt: array([180., 12., 188.])
zopt: array([180., 192., 380.])
*******************************************
Period: 24
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -8.36199438e-05, 1.00000000e+00]])
fopt: 0.4689877025437531
fun: -0.4716076945873894
message: 'Optimization terminated successfully.'
nfev: 392
nit: 6
status: 0
success: True
x: array([201.40693369, -1.77916257, 7.04336507])
xopt: array([201., 0., 8.])
zopt: array([201., 201., 209.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 171.66573731]])
fopt: 0.7441135615516751
fun: -0.7537329612706811
message: 'Optimization terminated successfully.'
nfev: 508
nit: 7
status: 0
success: True
x: array([202.36748545, -10.36751556, 179.00001338])
xopt: array([202., 0., 179.])
zopt: array([202., 202., 381.])
*******************************************
Period: 26
direc: array([[ 0. , -0. , 0. ],
[ 0. , 0. , 0. ],
[ 0. , 0. , 202.44774959]])
fopt: 0.7438974995428526
fun: -0.7433681973282525
message: 'Optimization terminated successfully.'
nfev: 450
nit: 6
status: 0
success: True
x: array([201.78726291, -0.80698009, 209.00000433])
xopt: array([201., 0., 209.])
zopt: array([201., 201., 410.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 1. ],
[ 0. , 0. , 0. ],
[ 0. , -15.05314755, 21.99162396]])
fopt: 0.5101585968182945
fun: -0.5284702774213162
message: 'Optimization terminated successfully.'
nfev: 499
nit: 7
status: 0
success: True
x: array([202.7386249 , -19.98053264, 31.00043582])
xopt: array([202., 0., 32.])
zopt: array([202., 202., 234.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, -2.59809435e-08, 1.08163559e-08],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.5092555494662304
fun: -0.5098797919237352
message: 'Optimization terminated successfully.'
nfev: 361
nit: 4
status: 0
success: True
x: array([201.38292081, -0.40200527, 4.00000001])
xopt: array([201., 0., 5.])
zopt: array([201., 201., 206.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 1. ],
[ 0. , 0. , 0. ],
[ 0. , -0.01729116, 0.00813062]])
fopt: 0.5110609693579615
fun: -0.5139840460186637
message: 'Optimization terminated successfully.'
nfev: 297
nit: 3
status: 0
success: True
x: array([202.11232772, -1.1439385 , 3.00813062])
xopt: array([202., 0., 4.])
zopt: array([202., 202., 206.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpml2_99xg.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpueb_eflc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.09974
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.3842 2.09974
Optimal solution found (tolerance 1.00e-02)
Best objective 3.384202567318e+00, best bound 3.384202567318e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph4m2y1nh.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9vjx0yhf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.63545
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.717330e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.7173296 1.71733 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.71733 1.63545
Optimal solution found (tolerance 1.00e-02)
Best objective 1.717329609435e+00, best bound 1.717329609435e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuqbm2457.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu14w1dll.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.674023
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.146537e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14654 0 6 0.67402 2.14654 218% - 0s
H 0 0 1.7049493 2.14654 25.9% - 0s
0 0 cutoff 0 1.70495 1.70495 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.70495 0.674023
Optimal solution found (tolerance 1.00e-02)
Best objective 1.704949312026e+00, best bound 1.704949312026e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmposc8xlqg.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpks360ghp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21189
Presolve removed 130 rows and 92 columns
Presolve time: 0.00s
Presolved: 61 rows, 50 columns, 206 nonzeros
Variable types: 23 continuous, 27 integer (22 binary)
Root relaxation: objective 1.640008e+00, 35 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64001 0 8 1.21189 1.64001 35.3% - 0s
H 0 0 1.2986077 1.64001 26.3% - 0s
0 0 cutoff 0 1.29861 1.29861 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 6
Flow cover: 1
Explored 1 nodes (47 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.29861 1.21189
Optimal solution found (tolerance 1.00e-02)
Best objective 1.298607692051e+00, best bound 1.298607692051e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvdjkfjo1.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwj4eduvv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.946294
Presolve removed 123 rows and 85 columns
Presolve time: 0.00s
Presolved: 114 rows, 90 columns, 380 nonzeros
Variable types: 43 continuous, 47 integer (42 binary)
Root relaxation: objective 1.686860e+00, 66 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68686 0 4 0.94629 1.68686 78.3% - 0s
H 0 0 1.3057666 1.68686 29.2% - 0s
0 0 1.34790 0 2 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 2 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 1 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 1 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 2 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 1 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 1 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 1 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 1 1.30577 1.34790 3.23% - 0s
0 0 1.34790 0 1 1.30577 1.34790 3.23% - 0s
* 0 0 0 1.3106970 1.31070 0.00% - 0s
Cutting planes:
MIR: 1
Flow cover: 1
Explored 1 nodes (135 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.3107 1.30577 0.946294
Optimal solution found (tolerance 1.00e-02)
Best objective 1.310696999330e+00, best bound 1.310696999330e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw54umu5m.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3jk1mjg6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02202
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.603325e+00, 85 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60332 0 6 1.02202 1.60332 56.9% - 0s
H 0 0 1.2217494 1.60332 31.2% - 0s
0 0 1.29075 0 3 1.22175 1.29075 5.65% - 0s
0 0 1.28300 0 2 1.22175 1.28300 5.01% - 0s
0 0 1.28300 0 2 1.22175 1.28300 5.01% - 0s
* 0 0 0 1.2258581 1.22586 0.00% - 0s
Cutting planes:
Gomory: 5
MIR: 3
Flow cover: 8
Explored 1 nodes (140 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22586 1.22175 1.02202
Optimal solution found (tolerance 1.00e-02)
Best objective 1.225858076347e+00, best bound 1.225858076347e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiifkhnpo.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvyddi_bv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.967584
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.640714e+00, 127 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64071 0 7 0.96758 1.64071 69.6% - 0s
H 0 0 1.1419381 1.64071 43.7% - 0s
H 0 0 1.2499257 1.64071 31.3% - 0s
0 0 1.34475 0 3 1.24993 1.34475 7.59% - 0s
0 0 1.34375 0 5 1.24993 1.34375 7.51% - 0s
0 0 1.34370 0 1 1.24993 1.34370 7.50% - 0s
0 0 1.34370 0 2 1.24993 1.34370 7.50% - 0s
0 0 1.34370 0 2 1.24993 1.34370 7.50% - 0s
0 0 1.34370 0 1 1.24993 1.34370 7.50% - 0s
0 0 1.34115 0 7 1.24993 1.34115 7.30% - 0s
0 0 1.33774 0 5 1.24993 1.33774 7.03% - 0s
0 0 1.33639 0 7 1.24993 1.33639 6.92% - 0s
0 0 1.32762 0 7 1.24993 1.32762 6.22% - 0s
0 0 1.31227 0 8 1.24993 1.31227 4.99% - 0s
0 0 1.31191 0 8 1.24993 1.31191 4.96% - 0s
0 0 1.27371 0 1 1.24993 1.27371 1.90% - 0s
0 0 1.27371 0 1 1.24993 1.27371 1.90% - 0s
H 0 0 1.2534474 1.27371 1.62% - 0s
0 0 1.27371 0 1 1.25345 1.27371 1.62% - 0s
0 0 cutoff 0 1.25345 1.25345 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (278 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.25345 1.24993 1.14194 0.967584
Optimal solution found (tolerance 1.00e-02)
Best objective 1.253447434901e+00, best bound 1.253447434901e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw7hz8hnl.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpywmwge81.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06993
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.474003e+00, 127 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47400 0 12 1.06993 1.47400 37.8% - 0s
0 0 1.22928 0 15 1.06993 1.22928 14.9% - 0s
H 0 0 1.0716717 1.22928 14.7% - 0s
0 0 1.22836 0 14 1.07167 1.22836 14.6% - 0s
0 0 1.19002 0 4 1.07167 1.19002 11.0% - 0s
0 0 1.18791 0 6 1.07167 1.18791 10.8% - 0s
0 0 1.18673 0 5 1.07167 1.18673 10.7% - 0s
0 0 1.18598 0 5 1.07167 1.18598 10.7% - 0s
0 0 1.18598 0 5 1.07167 1.18598 10.7% - 0s
H 0 0 1.0996460 1.18598 7.85% - 0s
0 0 1.18598 0 6 1.09965 1.18598 7.85% - 0s
0 0 1.18519 0 3 1.09965 1.18519 7.78% - 0s
0 0 1.18468 0 4 1.09965 1.18468 7.73% - 0s
0 0 1.18440 0 3 1.09965 1.18440 7.71% - 0s
0 0 1.18428 0 3 1.09965 1.18428 7.70% - 0s
0 0 1.18169 0 2 1.09965 1.18169 7.46% - 0s
0 0 1.12046 0 1 1.09965 1.12046 1.89% - 0s
0 0 1.12046 0 1 1.09965 1.12046 1.89% - 0s
H 0 0 1.1027275 1.12046 1.61% - 0s
0 0 cutoff 0 1.10273 1.10273 0.00% - 0s
Explored 1 nodes (347 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.10273 1.09965 1.07167 1.06993
Optimal solution found (tolerance 1.00e-02)
Best objective 1.102727487653e+00, best bound 1.102727487653e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps83d21_k.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa7tgkjok.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.919204
Presolve removed 186 rows and 123 columns
Presolve time: 0.00s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.525427e+00, 144 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52543 0 13 0.91920 1.52543 66.0% - 0s
H 0 0 1.0378695 1.52543 47.0% - 0s
0 0 1.40377 0 22 1.03787 1.40377 35.3% - 0s
0 0 1.30429 0 26 1.03787 1.30429 25.7% - 0s
0 0 1.27768 0 20 1.03787 1.27768 23.1% - 0s
0 0 1.27511 0 22 1.03787 1.27511 22.9% - 0s
0 0 1.27511 0 22 1.03787 1.27511 22.9% - 0s
0 0 1.27404 0 22 1.03787 1.27404 22.8% - 0s
0 0 1.27404 0 20 1.03787 1.27404 22.8% - 0s
H 0 0 1.1412292 1.27404 11.6% - 0s
0 2 1.27404 0 20 1.14123 1.27404 11.6% - 0s
* 39 15 10 1.1422827 1.24498 8.99% 4.2 0s
Cutting planes:
Gomory: 8
Implied bound: 4
Flow cover: 13
Explored 104 nodes (736 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.14228 1.14123 1.03787 0.919204
Optimal solution found (tolerance 1.00e-02)
Best objective 1.142282745027e+00, best bound 1.142282745027e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd4czfif5.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvfntbkzy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.953766
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.579805e+00, 171 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57981 0 18 0.95377 1.57981 65.6% - 0s
0 0 1.50687 0 17 0.95377 1.50687 58.0% - 0s
0 0 1.43643 0 12 0.95377 1.43643 50.6% - 0s
0 0 1.35407 0 11 0.95377 1.35407 42.0% - 0s
0 0 1.33517 0 16 0.95377 1.33517 40.0% - 0s
0 0 1.32834 0 10 0.95377 1.32834 39.3% - 0s
0 0 1.32833 0 10 0.95377 1.32833 39.3% - 0s
0 0 1.31824 0 12 0.95377 1.31824 38.2% - 0s
H 0 0 1.1677386 1.31824 12.9% - 0s
0 0 1.31694 0 12 1.16774 1.31694 12.8% - 0s
0 0 1.31694 0 12 1.16774 1.31694 12.8% - 0s
0 2 1.31694 0 11 1.16774 1.31694 12.8% - 0s
* 51 11 11 1.1736293 1.24662 6.22% 5.9 0s
Cutting planes:
Gomory: 8
Implied bound: 2
MIR: 3
Flow cover: 15
Inf proof: 1
Explored 72 nodes (746 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.17363 1.16774 0.953766
Optimal solution found (tolerance 1.00e-02)
Best objective 1.173629299608e+00, best bound 1.173629299608e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4e3tlykg.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2f3ux4sm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.998307
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.650987e+00, 191 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65099 0 19 0.99831 1.65099 65.4% - 0s
0 0 1.56497 0 20 0.99831 1.56497 56.8% - 0s
0 0 1.50468 0 14 0.99831 1.50468 50.7% - 0s
0 0 1.43102 0 20 0.99831 1.43102 43.3% - 0s
0 0 1.40650 0 12 0.99831 1.40650 40.9% - 0s
0 0 1.40649 0 12 0.99831 1.40649 40.9% - 0s
0 0 1.40220 0 11 0.99831 1.40220 40.5% - 0s
0 0 1.39998 0 11 0.99831 1.39998 40.2% - 0s
0 0 1.39997 0 12 0.99831 1.39997 40.2% - 0s
0 0 1.39997 0 12 0.99831 1.39997 40.2% - 0s
0 2 1.39997 0 11 0.99831 1.39997 40.2% - 0s
* 88 45 14 1.0272255 1.37442 33.8% 9.1 0s
* 128 47 16 1.1394493 1.36905 20.2% 8.2 0s
* 213 31 18 1.2216364 1.31442 7.60% 8.2 0s
* 249 9 15 1.2236581 1.28791 5.25% 7.9 0s
* 263 9 17 1.2285629 1.28476 4.57% 7.6 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 3
Clique: 1
MIR: 4
Flow cover: 19
Inf proof: 3
Explored 297 nodes (2622 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.22856 1.22366 1.22164 ... 0.998307
Optimal solution found (tolerance 1.00e-02)
Best objective 1.228562928126e+00, best bound 1.228562928126e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9jeay00e.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp66gnu_jp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09715
Presolve removed 228 rows and 150 columns
Presolve time: 0.00s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.604143e+00, 213 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60414 0 23 1.09715 1.60414 46.2% - 0s
0 0 1.49663 0 22 1.09715 1.49663 36.4% - 0s
0 0 1.49654 0 23 1.09715 1.49654 36.4% - 0s
0 0 1.45773 0 23 1.09715 1.45773 32.9% - 0s
0 0 1.38044 0 26 1.09715 1.38044 25.8% - 0s
0 0 1.36793 0 26 1.09715 1.36793 24.7% - 0s
H 0 0 1.1449716 1.36793 19.5% - 0s
0 0 1.36782 0 24 1.14497 1.36782 19.5% - 0s
0 0 1.36690 0 26 1.14497 1.36690 19.4% - 0s
0 0 1.36690 0 25 1.14497 1.36690 19.4% - 0s
0 2 1.36690 0 25 1.14497 1.36690 19.4% - 0s
* 56 24 20 1.1865732 1.34085 13.0% 6.9 0s
Cutting planes:
Gomory: 10
Implied bound: 5
Clique: 1
MIR: 2
Flow cover: 19
Explored 128 nodes (1221 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.18657 1.14497 1.09715
Optimal solution found (tolerance 1.00e-02)
Best objective 1.186573153432e+00, best bound 1.186573153432e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpchnnanzr.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplt6i93ny.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05484
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.578126e+00, 238 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57813 0 25 1.05484 1.57813 49.6% - 0s
0 0 1.46057 0 26 1.05484 1.46057 38.5% - 0s
0 0 1.42563 0 27 1.05484 1.42563 35.2% - 0s
0 0 1.36432 0 30 1.05484 1.36432 29.3% - 0s
0 0 1.34090 0 25 1.05484 1.34090 27.1% - 0s
0 0 1.34090 0 25 1.05484 1.34090 27.1% - 0s
0 0 1.33313 0 26 1.05484 1.33313 26.4% - 0s
0 0 1.33216 0 26 1.05484 1.33216 26.3% - 0s
0 0 1.33216 0 26 1.05484 1.33216 26.3% - 0s
0 2 1.33216 0 26 1.05484 1.33216 26.3% - 0s
* 74 33 24 1.1228993 1.28787 14.7% 10.1 0s
* 239 17 26 1.1341540 1.15658 1.98% 6.6 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 4
Clique: 1
MIR: 4
Flow cover: 23
Inf proof: 3
Explored 291 nodes (2299 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.13415 1.1229 1.05484
Optimal solution found (tolerance 1.00e-02)
Best objective 1.134153973330e+00, best bound 1.134153973330e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppg6ccpvc.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpevd51jsu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.989724
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.603375e+00, 259 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60338 0 26 0.98972 1.60338 62.0% - 0s
0 0 1.47625 0 30 0.98972 1.47625 49.2% - 0s
0 0 1.43018 0 31 0.98972 1.43018 44.5% - 0s
0 0 1.37667 0 34 0.98972 1.37667 39.1% - 0s
0 0 1.35102 0 32 0.98972 1.35102 36.5% - 0s
0 0 1.35101 0 32 0.98972 1.35101 36.5% - 0s
0 0 1.34380 0 34 0.98972 1.34380 35.8% - 0s
0 0 1.34380 0 33 0.98972 1.34380 35.8% - 0s
0 0 1.34289 0 33 0.98972 1.34289 35.7% - 0s
0 0 1.34289 0 29 0.98972 1.34289 35.7% - 0s
0 2 1.34289 0 29 0.98972 1.34289 35.7% - 0s
* 251 53 30 1.1371254 1.23662 8.75% 8.0 0s
* 444 33 29 1.1395952 1.18413 3.91% 7.1 0s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 11
Clique: 1
MIR: 5
Flow cover: 26
Inf proof: 8
Explored 612 nodes (4581 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.1396 1.13713 0.989724
Optimal solution found (tolerance 1.00e-02)
Best objective 1.139595223368e+00, best bound 1.139595223368e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2ndtvaz2.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpikfca3fg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01973
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.602248e+00, 318 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60225 0 29 1.01973 1.60225 57.1% - 0s
0 0 1.46594 0 34 1.01973 1.46594 43.8% - 0s
0 0 1.46593 0 34 1.01973 1.46593 43.8% - 0s
0 0 1.39141 0 38 1.01973 1.39141 36.4% - 0s
0 0 1.34369 0 31 1.01973 1.34369 31.8% - 0s
0 0 1.34130 0 32 1.01973 1.34130 31.5% - 0s
0 0 1.33721 0 37 1.01973 1.33721 31.1% - 0s
0 0 1.33701 0 37 1.01973 1.33701 31.1% - 0s
0 0 1.33408 0 37 1.01973 1.33408 30.8% - 0s
H 0 0 1.1082253 1.33408 20.4% - 0s
0 0 1.33393 0 37 1.10823 1.33393 20.4% - 0s
0 0 1.33393 0 37 1.10823 1.33393 20.4% - 0s
H 0 0 1.1185427 1.33393 19.3% - 0s
H 0 0 1.1231282 1.33393 18.8% - 0s
0 2 1.33393 0 37 1.12313 1.33393 18.8% - 0s
* 633 101 35 1.1256402 1.19069 5.78% 6.9 0s
* 635 99 34 1.1295621 1.19069 5.41% 6.9 0s
* 974 57 30 1.1318549 1.17213 3.56% 6.6 0s
Cutting planes:
Gomory: 14
Cover: 3
Implied bound: 12
Clique: 1
MIR: 6
Flow cover: 32
Inf proof: 6
Explored 1074 nodes (7684 simplex iterations) in 0.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.13185 1.12956 1.12564 ... 1.01973
Optimal solution found (tolerance 1.00e-02)
Best objective 1.131854859231e+00, best bound 1.131854859231e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgyoqtqex.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptehzfam6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0342
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.579671e+00, 337 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57967 0 32 1.03420 1.57967 52.7% - 0s
0 0 1.43468 0 30 1.03420 1.43468 38.7% - 0s
0 0 1.43463 0 30 1.03420 1.43463 38.7% - 0s
0 0 1.36857 0 35 1.03420 1.36857 32.3% - 0s
0 0 1.32443 0 34 1.03420 1.32443 28.1% - 0s
0 0 1.32025 0 30 1.03420 1.32025 27.7% - 0s
0 0 1.32023 0 30 1.03420 1.32023 27.7% - 0s
0 0 1.31655 0 32 1.03420 1.31655 27.3% - 0s
0 0 1.31645 0 35 1.03420 1.31645 27.3% - 0s
0 0 1.31645 0 31 1.03420 1.31645 27.3% - 0s
0 2 1.31645 0 29 1.03420 1.31645 27.3% - 0s
* 1666 232 36 1.0841435 1.12282 3.57% 9.6 0s
* 1692 177 31 1.0860671 1.12282 3.38% 9.6 0s
* 1830 100 30 1.0875663 1.10702 1.79% 9.5 0s
Cutting planes:
Gomory: 18
Cover: 6
Implied bound: 24
Clique: 1
MIR: 5
Flow cover: 34
Inf proof: 14
Explored 1928 nodes (18734 simplex iterations) in 0.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.08757 1.08607 1.08414 1.0342
Optimal solution found (tolerance 1.00e-02)
Best objective 1.087566276849e+00, best bound 1.098338213831e+00, gap 0.9905%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdq13ngtx.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8vsqfx1g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01757
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.486923e+00, 334 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48692 0 33 1.01757 1.48692 46.1% - 0s
0 0 1.34797 0 31 1.01757 1.34797 32.5% - 0s
0 0 1.34792 0 31 1.01757 1.34792 32.5% - 0s
0 0 1.28489 0 34 1.01757 1.28489 26.3% - 0s
0 0 1.24368 0 30 1.01757 1.24368 22.2% - 0s
0 0 1.24163 0 27 1.01757 1.24163 22.0% - 0s
0 0 1.23757 0 29 1.01757 1.23757 21.6% - 0s
0 0 1.23757 0 29 1.01757 1.23757 21.6% - 0s
0 0 1.23565 0 31 1.01757 1.23565 21.4% - 0s
0 0 1.23565 0 31 1.01757 1.23565 21.4% - 0s
0 0 1.23404 0 31 1.01757 1.23404 21.3% - 0s
0 0 1.23403 0 31 1.01757 1.23403 21.3% - 0s
0 0 1.23403 0 29 1.01757 1.23403 21.3% - 0s
0 2 1.23403 0 29 1.01757 1.23403 21.3% - 0s
* 693 34 35 1.0187989 1.04114 2.19% 9.0 0s
Cutting planes:
Gomory: 17
Cover: 7
Implied bound: 18
Clique: 1
MIR: 7
Flow cover: 32
Inf proof: 11
Explored 842 nodes (7786 simplex iterations) in 0.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0188 1.01757
Optimal solution found (tolerance 1.00e-02)
Best objective 1.018798914571e+00, best bound 1.018798914571e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2bhw2dhf.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpchf6nkqt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.944162
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.435137e+00, 353 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43514 0 37 0.94416 1.43514 52.0% - 0s
0 0 1.28707 0 33 0.94416 1.28707 36.3% - 0s
0 0 1.28702 0 33 0.94416 1.28702 36.3% - 0s
0 0 1.24659 0 38 0.94416 1.24659 32.0% - 0s
0 0 1.19879 0 39 0.94416 1.19879 27.0% - 0s
0 0 1.18895 0 35 0.94416 1.18895 25.9% - 0s
0 0 1.18873 0 36 0.94416 1.18873 25.9% - 0s
0 0 1.18764 0 45 0.94416 1.18764 25.8% - 0s
0 0 1.18628 0 40 0.94416 1.18628 25.6% - 0s
0 0 1.18628 0 40 0.94416 1.18628 25.6% - 0s
0 0 1.18607 0 41 0.94416 1.18607 25.6% - 0s
0 0 1.18607 0 39 0.94416 1.18607 25.6% - 0s
0 2 1.18607 0 39 0.94416 1.18607 25.6% - 0s
* 475 248 47 0.9558292 1.13679 18.9% 9.5 0s
* 2286 364 58 0.9607609 1.01188 5.32% 10.3 2s
* 2361 285 62 0.9676147 1.01188 4.57% 10.2 2s
* 2431 240 59 0.9748116 1.01188 3.80% 10.1 2s
* 2464 188 58 0.9765215 0.99519 1.91% 10.1 2s
* 2467 161 58 0.9778541 0.99519 1.77% 10.0 2s
Cutting planes:
Gomory: 25
Cover: 5
Implied bound: 5
Projected implied bound: 12
MIR: 10
Flow cover: 27
Inf proof: 10
Explored 2497 nodes (25639 simplex iterations) in 2.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.977854 0.976522 0.974812 ... 0.944162
Optimal solution found (tolerance 1.00e-02)
Best objective 9.778540740617e-01, best bound 9.793104316184e-01, gap 0.1489%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpltypa248.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvnc7ijxa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906514
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.383612e+00, 386 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38361 0 36 0.90651 1.38361 52.6% - 0s
0 0 1.23427 0 37 0.90651 1.23427 36.2% - 0s
0 0 1.23422 0 37 0.90651 1.23422 36.1% - 0s
0 0 1.19832 0 45 0.90651 1.19832 32.2% - 0s
0 0 1.15178 0 45 0.90651 1.15178 27.1% - 0s
0 0 1.14261 0 48 0.90651 1.14261 26.0% - 0s
0 0 1.14089 0 42 0.90651 1.14089 25.9% - 0s
0 0 1.14069 0 43 0.90651 1.14069 25.8% - 0s
0 0 1.13571 0 51 0.90651 1.13571 25.3% - 0s
0 0 1.13549 0 51 0.90651 1.13549 25.3% - 0s
0 0 1.13487 0 50 0.90651 1.13487 25.2% - 0s
0 0 1.13487 0 36 0.90651 1.13487 25.2% - 0s
0 2 1.13487 0 36 0.90651 1.13487 25.2% - 0s
* 363 184 49 0.9324982 1.10233 18.2% 9.4 0s
* 1908 502 53 0.9337607 0.95002 1.74% 9.3 1s
Cutting planes:
Gomory: 24
Cover: 2
Implied bound: 4
Projected implied bound: 17
MIR: 6
Flow cover: 23
Inf proof: 4
Explored 1995 nodes (19034 simplex iterations) in 1.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.933761 0.932498 0.906514
Optimal solution found (tolerance 1.00e-02)
Best objective 9.337606589849e-01, best bound 9.337606589849e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbk0scsu1.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkot4tczt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.857666
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.379977e+00, 415 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37998 0 40 0.85767 1.37998 60.9% - 0s
0 0 1.23317 0 40 0.85767 1.23317 43.8% - 0s
0 0 1.23313 0 40 0.85767 1.23313 43.8% - 0s
0 0 1.18724 0 47 0.85767 1.18724 38.4% - 0s
0 0 1.14943 0 45 0.85767 1.14943 34.0% - 0s
0 0 1.13791 0 44 0.85767 1.13791 32.7% - 0s
0 0 1.13778 0 46 0.85767 1.13778 32.7% - 0s
0 0 1.13590 0 49 0.85767 1.13590 32.4% - 0s
0 0 1.13541 0 49 0.85767 1.13541 32.4% - 0s
0 0 1.13541 0 43 0.85767 1.13541 32.4% - 0s
0 2 1.13541 0 43 0.85767 1.13541 32.4% - 0s
* 507 289 66 0.8778583 1.09491 24.7% 10.4 0s
H 2316 145 0.9306507 0.99841 7.28% 13.9 2s
Cutting planes:
Gomory: 34
Cover: 4
Implied bound: 10
Projected implied bound: 25
Clique: 1
MIR: 14
Flow cover: 42
Inf proof: 29
Explored 2909 nodes (38124 simplex iterations) in 3.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.930651 0.877858 0.857666
Optimal solution found (tolerance 1.00e-02)
Best objective 9.306507022878e-01, best bound 9.306507022878e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_lwf3w5m.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpisfw6nv5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.868669
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.334608e+00, 453 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33461 0 44 0.86867 1.33461 53.6% - 0s
0 0 1.19326 0 41 0.86867 1.19326 37.4% - 0s
0 0 1.19322 0 41 0.86867 1.19322 37.4% - 0s
0 0 1.14177 0 51 0.86867 1.14177 31.4% - 0s
0 0 1.10907 0 52 0.86867 1.10907 27.7% - 0s
0 0 1.09740 0 49 0.86867 1.09740 26.3% - 0s
0 0 1.09702 0 50 0.86867 1.09702 26.3% - 0s
0 0 1.09571 0 55 0.86867 1.09571 26.1% - 0s
0 0 1.09556 0 52 0.86867 1.09556 26.1% - 0s
0 0 1.09502 0 55 0.86867 1.09502 26.1% - 0s
0 0 1.09502 0 52 0.86867 1.09502 26.1% - 0s
0 2 1.09502 0 52 0.86867 1.09502 26.1% - 0s
H 1566 401 0.8721421 0.98909 13.4% 12.3 2s
H 2580 181 0.8864481 0.92100 3.90% 12.3 2s
Cutting planes:
Gomory: 41
Implied bound: 9
Projected implied bound: 28
Clique: 1
MIR: 6
Flow cover: 38
Inf proof: 23
Explored 3424 nodes (38764 simplex iterations) in 3.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.886448 0.872142 0.868669
Optimal solution found (tolerance 1.00e-02)
Best objective 8.864481114313e-01, best bound 8.897799243419e-01, gap 0.3759%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl1ypk15l.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfm807ys3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.886523
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.339666e+00, 464 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33967 0 46 0.88652 1.33967 51.1% - 0s
0 0 1.19112 0 44 0.88652 1.19112 34.4% - 0s
0 0 1.19108 0 44 0.88652 1.19108 34.4% - 0s
0 0 1.14574 0 56 0.88652 1.14574 29.2% - 0s
0 0 1.14041 0 53 0.88652 1.14041 28.6% - 0s
0 0 1.13389 0 57 0.88652 1.13389 27.9% - 0s
0 0 1.13346 0 59 0.88652 1.13346 27.9% - 0s
0 0 1.11322 0 66 0.88652 1.11322 25.6% - 0s
0 0 1.11298 0 66 0.88652 1.11298 25.5% - 0s
0 0 1.11165 0 69 0.88652 1.11165 25.4% - 0s
0 0 1.11165 0 69 0.88652 1.11165 25.4% - 0s
0 0 1.11151 0 67 0.88652 1.11151 25.4% - 0s
0 0 1.11151 0 61 0.88652 1.11151 25.4% - 0s
0 2 1.11151 0 61 0.88652 1.11151 25.4% - 0s
* 1320 466 85 0.8866054 1.03154 16.3% 14.4 1s
* 2574 241 81 0.8888920 0.94660 6.49% 13.2 2s
* 3775 144 77 0.8892666 0.91106 2.45% 11.8 3s
* 3794 133 80 0.8910290 0.91106 2.25% 11.8 3s
* 3854 71 71 0.8954518 0.91106 1.74% 11.7 3s
Cutting planes:
Gomory: 37
Cover: 1
Implied bound: 11
Projected implied bound: 34
MIR: 7
Flow cover: 49
Inf proof: 33
Explored 4042 nodes (47340 simplex iterations) in 3.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.895452 0.891029 0.889267 ... 0.886523
Optimal solution found (tolerance 1.00e-02)
Best objective 8.954518140787e-01, best bound 9.027678669570e-01, gap 0.8170%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2w7t5wda.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_um3spbe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.889637
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.331641e+00, 499 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33164 0 48 0.88964 1.33164 49.7% - 0s
0 0 1.17914 0 51 0.88964 1.17914 32.5% - 0s
0 0 1.17909 0 53 0.88964 1.17909 32.5% - 0s
0 0 1.13015 0 56 0.88964 1.13015 27.0% - 0s
0 0 1.12227 0 64 0.88964 1.12227 26.1% - 0s
0 0 1.11354 0 64 0.88964 1.11354 25.2% - 0s
0 0 1.11342 0 66 0.88964 1.11342 25.2% - 0s
0 0 1.10979 0 70 0.88964 1.10979 24.7% - 0s
0 0 1.10979 0 70 0.88964 1.10979 24.7% - 0s
0 0 1.10848 0 72 0.88964 1.10848 24.6% - 0s
0 0 1.10848 0 60 0.88964 1.10848 24.6% - 0s
0 2 1.10848 0 60 0.88964 1.10848 24.6% - 0s
Cutting planes:
Gomory: 43
Implied bound: 6
Projected implied bound: 32
Clique: 1
MIR: 7
Flow cover: 41
Inf proof: 27
Explored 3658 nodes (46474 simplex iterations) in 3.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.889637
Optimal solution found (tolerance 1.00e-02)
Best objective 8.896366735810e-01, best bound 8.971699709697e-01, gap 0.8468%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwk0xyu2p.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3heta0b5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.892447
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.318751e+00, 562 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31875 0 52 0.89245 1.31875 47.8% - 0s
0 0 1.17262 0 51 0.89245 1.17262 31.4% - 0s
0 0 1.17259 0 51 0.89245 1.17259 31.4% - 0s
0 0 1.12440 0 66 0.89245 1.12440 26.0% - 0s
0 0 1.12440 0 66 0.89245 1.12440 26.0% - 0s
0 0 1.12265 0 74 0.89245 1.12265 25.8% - 0s
0 0 1.12263 0 72 0.89245 1.12263 25.8% - 0s
0 0 1.12231 0 72 0.89245 1.12231 25.8% - 0s
0 0 1.12231 0 60 0.89245 1.12231 25.8% - 0s
0 2 1.12231 0 60 0.89245 1.12231 25.8% - 0s
Cutting planes:
Gomory: 43
Cover: 1
Implied bound: 12
Projected implied bound: 30
Clique: 1
MIR: 8
Flow cover: 40
Inf proof: 22
Explored 4624 nodes (60347 simplex iterations) in 4.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.892447
Optimal solution found (tolerance 1.00e-02)
Best objective 8.924470264708e-01, best bound 8.971001146358e-01, gap 0.5214%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp05hf7531.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj9ngf03i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.892596
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.304047e+00, 553 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30405 0 52 0.89260 1.30405 46.1% - 0s
0 0 1.15759 0 57 0.89260 1.15759 29.7% - 0s
0 0 1.15755 0 57 0.89260 1.15755 29.7% - 0s
0 0 1.11399 0 65 0.89260 1.11399 24.8% - 0s
0 0 1.11399 0 65 0.89260 1.11399 24.8% - 0s
0 0 1.11195 0 67 0.89260 1.11195 24.6% - 0s
0 0 1.11195 0 67 0.89260 1.11195 24.6% - 0s
0 0 1.11175 0 70 0.89260 1.11175 24.6% - 0s
0 0 1.11175 0 62 0.89260 1.11175 24.6% - 0s
0 2 1.11175 0 62 0.89260 1.11175 24.6% - 0s
Cutting planes:
Gomory: 51
Cover: 2
Implied bound: 12
Projected implied bound: 27
Clique: 1
MIR: 6
Flow cover: 38
Inf proof: 22
Explored 4198 nodes (65761 simplex iterations) in 4.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.892596
Optimal solution found (tolerance 1.00e-02)
Best objective 8.925961332280e-01, best bound 8.992102498260e-01, gap 0.7410%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjm54ezmd.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpek0e7ezx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.880728
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.288653e+00, 588 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28865 0 53 0.88073 1.28865 46.3% - 0s
0 0 1.14939 0 52 0.88073 1.14939 30.5% - 0s
0 0 1.14935 0 52 0.88073 1.14935 30.5% - 0s
0 0 1.11963 0 71 0.88073 1.11963 27.1% - 0s
0 0 1.11910 0 72 0.88073 1.11910 27.1% - 0s
0 0 1.11719 0 81 0.88073 1.11719 26.8% - 0s
0 0 1.11713 0 80 0.88073 1.11713 26.8% - 0s
0 0 1.11573 0 85 0.88073 1.11573 26.7% - 0s
0 0 1.11573 0 85 0.88073 1.11573 26.7% - 0s
0 0 1.11568 0 85 0.88073 1.11568 26.7% - 0s
0 0 1.11568 0 72 0.88073 1.11568 26.7% - 0s
0 2 1.11568 0 70 0.88073 1.11568 26.7% - 0s
H 2232 177 0.8807285 0.93160 5.78% 15.8 3s
* 3502 186 93 0.8815880 0.88756 0.68% 12.8 4s
* 3504 183 91 0.8822698 0.88756 0.60% 12.8 4s
Cutting planes:
Gomory: 46
Implied bound: 8
Projected implied bound: 30
Clique: 2
MIR: 8
Flow cover: 44
Inf proof: 15
Explored 3538 nodes (46212 simplex iterations) in 4.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.88227 0.881588 0.880728 0.880728
Optimal solution found (tolerance 1.00e-02)
Best objective 8.822697501596e-01, best bound 8.875600998773e-01, gap 0.5996%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppouwpl7u.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4h7mdt_s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.867139
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.261294e+00, 602 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26129 0 53 0.86714 1.26129 45.5% - 0s
0 0 1.12211 0 58 0.86714 1.12211 29.4% - 0s
0 0 1.12207 0 58 0.86714 1.12207 29.4% - 0s
0 0 1.09368 0 75 0.86714 1.09368 26.1% - 0s
0 0 1.09367 0 75 0.86714 1.09367 26.1% - 0s
0 0 1.09173 0 73 0.86714 1.09173 25.9% - 0s
0 0 1.09172 0 73 0.86714 1.09172 25.9% - 0s
0 0 1.08951 0 84 0.86714 1.08951 25.6% - 0s
0 0 1.08950 0 78 0.86714 1.08950 25.6% - 0s
0 0 1.08945 0 84 0.86714 1.08945 25.6% - 0s
0 0 1.08945 0 67 0.86714 1.08945 25.6% - 0s
0 2 1.08945 0 67 0.86714 1.08945 25.6% - 0s
2737 304 0.87393 31 53 0.86714 0.95064 9.63% 22.8 5s
* 4593 194 87 0.8673055 0.87888 1.33% 18.4 6s
Cutting planes:
Gomory: 50
Cover: 2
Implied bound: 12
Projected implied bound: 31
Clique: 1
MIR: 12
Flow cover: 44
Inf proof: 44
Explored 4654 nodes (86294 simplex iterations) in 6.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.867305 0.867139
Optimal solution found (tolerance 1.00e-02)
Best objective 8.673054731135e-01, best bound 8.753705031040e-01, gap 0.9299%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpswho8hwo.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8y0ytnvg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869508
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.261135e+00, 638 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26113 0 58 0.86951 1.26113 45.0% - 0s
0 0 1.12300 0 68 0.86951 1.12300 29.2% - 0s
0 0 1.12295 0 68 0.86951 1.12295 29.1% - 0s
0 0 1.09110 0 81 0.86951 1.09110 25.5% - 0s
0 0 1.09103 0 81 0.86951 1.09103 25.5% - 0s
0 0 1.08845 0 81 0.86951 1.08845 25.2% - 0s
0 0 1.08845 0 74 0.86951 1.08845 25.2% - 0s
0 0 1.08804 0 77 0.86951 1.08804 25.1% - 0s
0 0 1.08804 0 67 0.86951 1.08804 25.1% - 0s
0 2 1.08804 0 65 0.86951 1.08804 25.1% - 0s
* 1109 566 107 0.8703358 1.00110 15.0% 15.7 3s
2066 515 0.91208 32 75 0.87034 0.95838 10.1% 21.9 5s
Cutting planes:
Gomory: 78
Cover: 5
Implied bound: 15
Projected implied bound: 41
Clique: 1
MIR: 12
Flow cover: 66
Inf proof: 41
Explored 6161 nodes (122120 simplex iterations) in 9.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.870336 0.869508
Optimal solution found (tolerance 1.00e-02)
Best objective 8.703357947768e-01, best bound 8.783878453059e-01, gap 0.9252%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpelt5ws4r.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu5sf8bzs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.859059
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.258383e+00, 652 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25838 0 60 0.85906 1.25838 46.5% - 0s
0 0 1.11840 0 71 0.85906 1.11840 30.2% - 0s
0 0 1.11836 0 71 0.85906 1.11836 30.2% - 0s
0 0 1.08554 0 95 0.85906 1.08554 26.4% - 0s
0 0 1.08517 0 95 0.85906 1.08517 26.3% - 0s
0 0 1.08517 0 93 0.85906 1.08517 26.3% - 0s
0 0 1.07934 0 90 0.85906 1.07934 25.6% - 0s
0 0 1.07933 0 90 0.85906 1.07933 25.6% - 0s
0 0 1.07613 0 88 0.85906 1.07613 25.3% - 0s
0 0 1.07612 0 89 0.85906 1.07612 25.3% - 0s
0 0 1.07519 0 90 0.85906 1.07519 25.2% - 0s
0 0 1.07519 0 73 0.85906 1.07519 25.2% - 0s
0 2 1.07519 0 73 0.85906 1.07519 25.2% - 0s
2782 482 0.88832 27 67 0.85906 0.94161 9.61% 22.0 5s
9765 1006 cutoff 78 0.85906 0.86891 1.15% 14.4 10s
Cutting planes:
Gomory: 73
Cover: 3
Implied bound: 28
Projected implied bound: 28
Clique: 2
MIR: 18
Flow cover: 60
Inf proof: 70
Explored 11204 nodes (153165 simplex iterations) in 10.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.859059
Optimal solution found (tolerance 1.00e-02)
Best objective 8.590589750853e-01, best bound 8.667174961369e-01, gap 0.8915%
Run 1
Seed for training 10
Seed for simulation 596
direc: array([[ 1.94503263e-02, 1.84727155e+01, 3.72847441e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.74226365e+01, 1.48499714e+01, 2.74323616e+01]])
fopt: 0.8997255123456431
fun: -0.8975943676410034
message: 'Optimization terminated successfully.'
nfev: 536
nit: 8
status: 0
success: True
x: array([ 94.95634025, 108. , 211.49661113])
xopt: array([ 94., 109., 211.])
zopt: array([ 94., 203., 414.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcthgnntx.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3_fvuexy.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899726
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.252075e+00, 686 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25207 0 77 0.89973 1.25207 39.2% - 0s
0 0 1.20302 0 74 0.89973 1.20302 33.7% - 0s
0 0 1.19661 0 72 0.89973 1.19661 33.0% - 0s
0 0 1.13884 0 77 0.89973 1.13884 26.6% - 0s
0 0 1.13884 0 77 0.89973 1.13884 26.6% - 0s
0 0 1.13767 0 83 0.89973 1.13767 26.4% - 0s
0 0 1.13767 0 81 0.89973 1.13767 26.4% - 0s
0 0 1.13764 0 85 0.89973 1.13764 26.4% - 0s
0 0 1.13764 0 85 0.89973 1.13764 26.4% - 0s
0 0 1.13760 0 82 0.89973 1.13760 26.4% - 0s
0 0 1.13760 0 73 0.89973 1.13760 26.4% - 0s
0 2 1.13760 0 73 0.89973 1.13760 26.4% - 0s
4475 664 cutoff 55 0.89973 0.95169 5.78% 16.5 5s
* 4588 672 114 0.9011492 0.95169 5.61% 16.2 5s
H 8536 1806 0.9011492 0.93581 3.85% 13.7 7s
H 8563 1685 0.9040759 0.93577 3.51% 13.7 7s
11093 2089 0.92240 47 62 0.90408 0.93124 3.00% 13.3 10s
H13706 2055 0.9081108 0.92674 2.05% 13.2 13s
15972 1957 cutoff 65 0.90811 0.92250 1.58% 13.2 15s
20919 941 cutoff 74 0.90811 0.91351 0.59% 12.8 20s
Cutting planes:
Gomory: 68
Cover: 5
Implied bound: 23
Projected implied bound: 7
MIR: 11
Flow cover: 55
Inf proof: 103
Explored 22839 nodes (289250 simplex iterations) in 21.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.908111 0.904076 0.901149 ... 0.899726
Optimal solution found (tolerance 0.00e+00)
Best objective 9.081107890451e-01, best bound 9.081107890451e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6dgn8916.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7fm2ssiw.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 466 rows and 333 columns
Presolve time: 0.00s
Presolved: 165 rows, 208 columns, 825 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.6860986e+01 4.092500e+02 0.000000e+00 0s
99 1.8422494e+01 0.000000e+00 0.000000e+00 0s
Solved in 99 iterations and 0.01 seconds
Optimal objective 1.842249409e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.09826441, 0.01393968, 0.01393968]])
fopt: 1.549465605952744
fun: -1.5572122496871588
message: 'Optimization terminated successfully.'
nfev: 145
nit: 2
status: 0
success: True
x: array([15.00000217, -0.99991384, -0.99991384])
xopt: array([15., 0., 0.])
zopt: array([15., 15., 15.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.19305742, 0.0109562 , 0.0104127 ]])
fopt: 2.109040095104861
fun: -2.1328207812023323
message: 'Optimization terminated successfully.'
nfev: 147
nit: 2
status: 0
success: True
x: array([36.04449802, -0.99106536, -0.89128409])
xopt: array([36., 0., 0.])
zopt: array([36., 36., 36.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.04725456, 0.00188099, 0.00192339]])
fopt: 1.6216165466002048
fun: -1.630066131347626
message: 'Optimization terminated successfully.'
nfev: 205
nit: 3
status: 0
success: True
x: array([51.18601468, -0.99830132, -0.38000851])
xopt: array([51., 0., 0.])
zopt: array([51., 51., 51.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.13595554e-03, 7.69791451e-05, 1.30291623e-06]])
fopt: 1.706352971991151
fun: -1.7158165263916
message: 'Optimization terminated successfully.'
nfev: 267
nit: 4
status: 0
success: True
x: array([73.20309293, -0.37443365, -0.99877552])
xopt: array([73., 0., 0.])
zopt: array([73., 73., 73.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.63439441e-02, -1.34408332e-09, -3.75267881e-07]])
fopt: 1.6113446380588663
fun: -1.61745182969132
message: 'Optimization terminated successfully.'
nfev: 341
nit: 3
status: 0
success: True
x: array([95.09745295, 1.00000271, 1.00037175])
xopt: array([95., 1., 1.])
zopt: array([95., 96., 97.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.06226033e-07, -2.30402535e-19, 5.83339018e-10]])
fopt: 1.4988698531031734
fun: -1.4996248694633705
message: 'Optimization terminated successfully.'
nfev: 339
nit: 3
status: 0
success: True
x: array([1.13543984e+02, 1.00000000e+00, 1.85667664e-02])
xopt: array([113., 1., 0.])
zopt: array([113., 114., 114.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1505
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.3332345297918764
fun: -1.3362462504660966
message: 'Optimization terminated successfully.'
nfev: 368
nit: 3
status: 0
success: True
x: array([156.00244844, 1.00028458, 1. ])
xopt: array([156., 1., 1.])
zopt: array([156., 157., 158.])
*******************************************
Period: 9
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[-0., -0., 0.]])
fopt: 1.1682089708216703
fun: -1.1701301394819403
message: 'Optimization terminated successfully.'
nfev: 311
nit: 3
status: 0
success: True
x: array([172.12563737, 1.14549222, 1.00011287])
xopt: array([172., 1., 1.])
zopt: array([172., 173., 174.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.36534965e-06, 1.12800135e-13, -0.00000000e+00]])
fopt: 1.039759480414729
fun: -1.0400577085678422
message: 'Optimization terminated successfully.'
nfev: 347
nit: 3
status: 0
success: True
x: array([171.99758237, 1.00813047, 1.00000315])
xopt: array([171., 2., 1.])
zopt: array([171., 173., 174.])
*******************************************
Period: 11
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.43929048, 0.01943107, 9.97057869]])
fopt: 1.023452600629603
fun: -1.0234309355570674
message: 'Optimization terminated successfully.'
nfev: 318
nit: 4
status: 0
success: True
x: array([170.91997018, 2.02312467, 15.00133185])
xopt: array([170., 3., 15.])
zopt: array([170., 173., 188.])
*******************************************
Period: 12
direc: array([[ 1., 0., 0.],
[ 0., 1., 0.],
[-0., 0., 0.]])
fopt: 0.9508367925186177
fun: -0.9489942443476589
message: 'Optimization terminated successfully.'
nfev: 270
nit: 4
status: 0
success: True
x: array([170.97167363, 2.12788494, 29.52807709])
xopt: array([170., 3., 29.])
zopt: array([170., 173., 202.])
*******************************************
Period: 13
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-7.86025665e+00, 3.17656059e-03, 1.90890349e+01],
[ 3.68917665e+00, 3.95795624e+00, -3.45941545e+00]])
fopt: 0.9816686512623543
fun: -0.9818737970471321
message: 'Optimization terminated successfully.'
nfev: 594
nit: 8
status: 0
success: True
x: array([164.9992603 , 8.00064399, 51.02359851])
xopt: array([164., 9., 51.])
zopt: array([164., 173., 224.])
*******************************************
Period: 14
direc: array([[-1.94415225e-03, -4.26049249e-12, -2.38103228e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.84456169e-07, 1.71908990e-15, -2.81583529e-02]])
fopt: 0.9892332364706926
fun: -0.9881433182359607
message: 'Optimization terminated successfully.'
nfev: 344
nit: 3
status: 0
success: True
x: array([171.75252638, 1.00000037, 74.32234129])
xopt: array([171., 2., 74.])
zopt: array([171., 173., 247.])
*******************************************
Period: 15
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-5.67166238, 1.96342426, 65.3781819 ]])
fopt: 0.9307932998368399
fun: -0.928621452648594
message: 'Optimization terminated successfully.'
nfev: 294
nit: 4
status: 0
success: True
x: array([168.98963372, 4.00825112, 73.97246356])
xopt: array([168., 5., 73.])
zopt: array([168., 173., 246.])
*******************************************
Period: 16
direc: array([[ 6.18808156e-07, 4.37916029e-09, 3.65906772e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.37737307e-08, 1.27423030e-05, -1.42849875e+00]])
fopt: 0.9601191733390011
fun: -0.9601401594877557
message: 'Optimization terminated successfully.'
nfev: 642
nit: 6
status: 0
success: True
x: array([170.11634331, 3.19592559, 101.19784939])
xopt: array([170., 3., 101.])
zopt: array([170., 173., 274.])
*******************************************
Period: 17
direc: array([[ 0.18735731, 0.00110312, 0.00221027],
[ 0. , 1. , 0. ],
[-0.01000927, 0.00103839, -0.05354151]])
fopt: 0.8168532962901569
fun: -0.859668399628353
message: 'Optimization terminated successfully.'
nfev: 513
nit: 5
status: 0
success: True
x: array([189.18479231, -16.00811934, 101.00105131])
xopt: array([189., 0., 102.])
zopt: array([189., 189., 291.])
*******************************************
Period: 18
direc: array([[-6.75645664e-01, -0.00000000e+00, -7.92562777e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.93493041e-03, 1.41198432e-10, 8.67230033e-03]])
fopt: 0.547138811441889
fun: -0.5445725136108489
message: 'Optimization terminated successfully.'
nfev: 320
nit: 3
status: 0
success: True
x: array([171.99306023, 1.00000003, 5.01441696])
xopt: array([171., 2., 6.])
zopt: array([171., 173., 179.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 157.73391844]])
fopt: 0.8442271087558886
fun: -0.8398853147286769
message: 'Optimization terminated successfully.'
nfev: 439
nit: 5
status: 0
success: True
x: array([172.44230708, 1.05882925, 162.73360076])
xopt: array([172., 1., 163.])
zopt: array([172., 173., 336.])
*******************************************
Period: 20
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -2.63301456e-09, 1.69043214e+02],
[ 0.00000000e+00, 2.21501275e-17, -1.04392282e-16]])
fopt: 0.8062710436066762
fun: -0.8055830088481868
message: 'Optimization terminated successfully.'
nfev: 566
nit: 6
status: 0
success: True
x: array([172.16451321, 2.00701992, 174.61081799])
xopt: array([172., 3., 175.])
zopt: array([172., 175., 350.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -6.39211026e-09, 1.72201883e+02]])
fopt: 0.7623316721519684
fun: -0.7625772247363723
message: 'Optimization terminated successfully.'
nfev: 592
nit: 7
status: 0
success: True
x: array([172.02504066, 4.01253222, 176.35686457])
xopt: array([172., 5., 177.])
zopt: array([172., 177., 354.])
*******************************************
Period: 22
direc: array([[-2.10363177e+00, -6.06884407e-01, 1.52286812e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.24326255e-05, 1.20233152e-07, -1.08098741e-05]])
fopt: 0.7869491596738277
fun: -0.7852749472649798
message: 'Optimization terminated successfully.'
nfev: 627
nit: 7
status: 0
success: True
x: array([168.84002026, 4.00741879, 172.00119361])
xopt: array([168., 5., 173.])
zopt: array([168., 173., 346.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -0.09825845, 10.18881547]])
fopt: 0.5302503131296101
fun: -0.5294358706280263
message: 'Optimization terminated successfully.'
nfev: 442
nit: 5
status: 0
success: True
x: array([171.37162558, 2.02239778, 15.18881547])
xopt: array([171., 2., 16.])
zopt: array([171., 173., 189.])
*******************************************
Period: 24
direc: array([[0.59520766, 0.00351714, 0.00707738],
[0. , 1. , 0. ],
[0. , 0. , 0. ]])
fopt: 0.532555130134297
fun: -0.5307398983305045
message: 'Optimization terminated successfully.'
nfev: 340
nit: 3
status: 0
success: True
x: array([170.82576275, 2.00351611, 4.01933204])
xopt: array([170., 3., 5.])
zopt: array([170., 173., 178.])
*******************************************
Period: 25
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.35032754e-09, 0.00000000e+00, 8.98422880e-11]])
fopt: 0.5315799324997738
fun: -0.5301906813528362
message: 'Optimization terminated successfully.'
nfev: 274
nit: 2
status: 0
success: True
x: array([171.85858906, 1. , 3.08838674])
xopt: array([172., 1., 4.])
zopt: array([172., 173., 177.])
*******************************************
Period: 26
direc: array([[-3.50505933e-01, -0.00000000e+00, -4.13542353e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.65753874e+02]])
fopt: 0.7801770504186452
fun: -0.7779088608224546
message: 'Optimization terminated successfully.'
nfev: 946
nit: 8
status: 0
success: True
x: array([171.99999547, 1.00000001, 172.00001375])
xopt: array([171., 2., 173.])
zopt: array([171., 173., 346.])
*******************************************
Period: 27
direc: array([[ 1.06801225e-01, 0.00000000e+00, 1.97498917e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.04945762e-04, -0.00000000e+00, -1.80116927e-03]])
fopt: 0.5383692743806237
fun: -0.5366270451558613
message: 'Optimization terminated successfully.'
nfev: 657
nit: 5
status: 0
success: True
x: array([171.77589988, 1. , 6.01293378])
xopt: array([171., 2., 7.])
zopt: array([171., 173., 180.])
*******************************************
Period: 28
direc: array([[8.18693819e-02, 0.00000000e+00, 1.00047817e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.69753115e+00, 0.00000000e+00, 1.72540044e+02]])
fopt: 0.780843137134037
fun: -0.7803317636294502
message: 'Optimization terminated successfully.'
nfev: 560
nit: 5
status: 0
success: True
x: array([175. , 2. , 177.2399221])
xopt: array([175., 2., 177.])
zopt: array([175., 177., 354.])
*******************************************
Period: 29
direc: array([[1.44473204e-02, 0.00000000e+00, 8.44958246e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.30628909e+00, 0.00000000e+00, 1.59647873e+02]])
fopt: 0.7795506042634518
fun: -0.7784203870190776
message: 'Optimization terminated successfully.'
nfev: 624
nit: 6
status: 0
success: True
x: array([174.00002165, 1.08554058, 175.52225678])
xopt: array([174., 2., 176.])
zopt: array([174., 176., 352.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6g_2s8mj.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy_r4vtk6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [5e-02, 5e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.632698
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.54947 0.632698
Optimal solution found (tolerance 1.00e-02)
Best objective 1.549465605953e+00, best bound 1.549465605953e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfri2ebr4.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzz_eninf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.380812
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.109040e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.1090401 2.10904 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.10904 0.380812
Optimal solution found (tolerance 1.00e-02)
Best objective 2.109040095105e+00, best bound 2.109040095105e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxeo8_gsz.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvjyxzi9f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21164
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 1.621617e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.6216165 1.62162 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62162 1.21164
Optimal solution found (tolerance 1.00e-02)
Best objective 1.621616546600e+00, best bound 1.621616546600e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7k31o_a9.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqko3ex5_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04598
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.112887e+00, 42 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11289 0 3 1.04598 2.11289 102% - 0s
H 0 0 1.6398542 2.11289 28.8% - 0s
H 0 0 1.7063530 2.11289 23.8% - 0s
0 0 1.74685 0 1 1.70635 1.74685 2.37% - 0s
0 0 cutoff 0 1.70635 1.70635 0.00% - 0s
Cutting planes:
Flow cover: 2
Explored 1 nodes (58 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.70635 1.63985 1.04598
Optimal solution found (tolerance 1.00e-02)
Best objective 1.706352971991e+00, best bound 1.706352971991e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp773q39tq.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqszeuqoh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20758
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.155523e+00, 60 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15552 0 4 1.20758 2.15552 78.5% - 0s
H 0 0 1.7034533 2.15552 26.5% - 0s
0 0 1.75920 0 1 1.70345 1.75920 3.27% - 0s
0 0 1.75920 0 2 1.70345 1.75920 3.27% - 0s
0 0 1.73221 0 4 1.70345 1.73221 1.69% - 0s
0 0 1.73178 0 4 1.70345 1.73178 1.66% - 0s
0 0 1.73046 0 4 1.70345 1.73046 1.59% - 0s
0 0 cutoff 0 1.70345 1.70345 0.00% - 0s
Explored 1 nodes (95 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.70345 1.20758
Optimal solution found (tolerance 1.00e-02)
Best objective 1.703453321925e+00, best bound 1.703453321925e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyd5psknf.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxtjn42hy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2589
Presolve removed 157 rows and 107 columns
Presolve time: 0.00s
Presolved: 126 rows, 101 columns, 428 nonzeros
Variable types: 50 continuous, 51 integer (47 binary)
Root relaxation: objective 2.087103e+00, 79 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08710 0 4 1.25890 2.08710 65.8% - 0s
H 0 0 1.6753555 2.08710 24.6% - 0s
0 0 1.70077 0 2 1.67536 1.70077 1.52% - 0s
0 0 1.70077 0 1 1.67536 1.70077 1.52% - 0s
0 0 1.70077 0 1 1.67536 1.70077 1.52% - 0s
0 0 cutoff 0 1.67536 1.67536 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (131 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.67536 1.2589
Optimal solution found (tolerance 1.00e-02)
Best objective 1.675355463356e+00, best bound 1.675355463356e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpevj1rq97.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfxixv4e3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.33351
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.215382e+00, 106 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21538 0 9 1.33351 2.21538 66.1% - 0s
H 0 0 1.3807825 2.21538 60.4% - 0s
0 0 1.99719 0 13 1.38078 1.99719 44.6% - 0s
H 0 0 1.5963254 1.99719 25.1% - 0s
0 0 1.78625 0 6 1.59633 1.78625 11.9% - 0s
0 0 1.78536 0 6 1.59633 1.78536 11.8% - 0s
0 0 1.78536 0 6 1.59633 1.78536 11.8% - 0s
H 0 0 1.6155878 1.78536 10.5% - 0s
H 0 0 1.6739667 1.78536 6.65% - 0s
0 0 1.78536 0 4 1.67397 1.78536 6.65% - 0s
0 0 1.70200 0 1 1.67397 1.70200 1.67% - 0s
0 0 cutoff 0 1.67397 1.67397 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 2
Explored 1 nodes (253 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.67397 1.61559 1.59633 ... 1.33351
Optimal solution found (tolerance 1.00e-02)
Best objective 1.673966665300e+00, best bound 1.673966665300e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3to6caes.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_pa6djmo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35278
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.226518e+00, 128 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22652 0 13 1.35278 2.22652 64.6% - 0s
H 0 0 1.4792422 2.22652 50.5% - 0s
0 0 1.95346 0 16 1.47924 1.95346 32.1% - 0s
0 0 1.77144 0 6 1.47924 1.77144 19.8% - 0s
0 0 1.77095 0 8 1.47924 1.77095 19.7% - 0s
0 0 1.77095 0 8 1.47924 1.77095 19.7% - 0s
H 0 0 1.6633300 1.77095 6.47% - 0s
0 0 1.77095 0 5 1.66333 1.77095 6.47% - 0s
0 0 1.73064 0 4 1.66333 1.73064 4.05% - 0s
0 0 1.69983 0 3 1.66333 1.69983 2.19% - 0s
0 0 1.69419 0 3 1.66333 1.69419 1.86% - 0s
0 0 1.69332 0 4 1.66333 1.69332 1.80% - 0s
0 0 1.68839 0 4 1.66333 1.68839 1.51% - 0s
0 0 1.68839 0 4 1.66333 1.68839 1.51% - 0s
0 0 1.68839 0 4 1.66333 1.68839 1.51% - 0s
0 0 1.66923 0 1 1.66333 1.66923 0.35% - 0s
Cutting planes:
Gomory: 2
MIR: 3
Explored 1 nodes (323 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.66333 1.47924 1.35278
Optimal solution found (tolerance 1.00e-02)
Best objective 1.663329992398e+00, best bound 1.669232160581e+00, gap 0.3548%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnmhhtt9v.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6ecjp_h7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41049
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.100181e+00, 149 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10018 0 12 1.41049 2.10018 48.9% - 0s
H 0 0 1.5262661 2.10018 37.6% - 0s
0 0 1.79723 0 20 1.52627 1.79723 17.8% - 0s
0 0 1.65048 0 7 1.52627 1.65048 8.14% - 0s
0 0 1.64950 0 7 1.52627 1.64950 8.07% - 0s
0 0 1.64821 0 5 1.52627 1.64821 7.99% - 0s
0 0 1.64821 0 5 1.52627 1.64821 7.99% - 0s
0 0 1.64821 0 7 1.52627 1.64821 7.99% - 0s
0 0 1.62073 0 6 1.52627 1.62073 6.19% - 0s
H 0 0 1.5434935 1.62073 5.00% - 0s
0 0 1.57536 0 3 1.54349 1.57536 2.06% - 0s
0 0 1.56688 0 7 1.54349 1.56688 1.52% - 0s
0 0 1.55993 0 6 1.54349 1.55993 1.07% - 0s
0 0 1.55993 0 3 1.54349 1.55993 1.07% - 0s
0 0 1.54874 0 1 1.54349 1.54874 0.34% - 0s
Cutting planes:
Gomory: 3
MIR: 4
Flow cover: 1
Explored 1 nodes (421 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.54349 1.52627 1.41049
Optimal solution found (tolerance 1.00e-02)
Best objective 1.543493538093e+00, best bound 1.548739909810e+00, gap 0.3399%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpprhaltxw.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1tvvlbf1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37424
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.885374e+00, 180 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88537 0 13 1.37424 1.88537 37.2% - 0s
0 0 1.60267 0 18 1.37424 1.60267 16.6% - 0s
0 0 1.46411 0 8 1.37424 1.46411 6.54% - 0s
0 0 1.46344 0 8 1.37424 1.46344 6.49% - 0s
0 0 1.46207 0 6 1.37424 1.46207 6.39% - 0s
0 0 1.46207 0 6 1.37424 1.46207 6.39% - 0s
0 0 1.46207 0 6 1.37424 1.46207 6.39% - 0s
0 0 1.46207 0 5 1.37424 1.46207 6.39% - 0s
0 0 1.43884 0 3 1.37424 1.43884 4.70% - 0s
0 0 1.43735 0 3 1.37424 1.43735 4.59% - 0s
0 0 1.40470 0 4 1.37424 1.40470 2.22% - 0s
0 0 1.40094 0 4 1.37424 1.40094 1.94% - 0s
0 0 1.39857 0 4 1.37424 1.39857 1.77% - 0s
0 0 1.39849 0 4 1.37424 1.39849 1.76% - 0s
0 0 1.39847 0 4 1.37424 1.39847 1.76% - 0s
0 0 1.37897 0 2 1.37424 1.37897 0.34% - 0s
Cutting planes:
Gomory: 5
Implied bound: 1
MIR: 3
Flow cover: 1
Explored 1 nodes (445 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.37424
Optimal solution found (tolerance 1.00e-02)
Best objective 1.374244441125e+00, best bound 1.378966249658e+00, gap 0.3436%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp30dz0h91.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxt3vjgdv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24184
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.841013e+00, 209 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84101 0 15 1.24184 1.84101 48.2% - 0s
H 0 0 1.2986616 1.84101 41.8% - 0s
0 0 1.52507 0 28 1.29866 1.52507 17.4% - 0s
0 0 1.46223 0 23 1.29866 1.46223 12.6% - 0s
0 0 1.42749 0 15 1.29866 1.42749 9.92% - 0s
0 0 1.42683 0 15 1.29866 1.42683 9.87% - 0s
0 0 1.42330 0 15 1.29866 1.42330 9.60% - 0s
0 0 1.42296 0 15 1.29866 1.42296 9.57% - 0s
0 0 1.42296 0 15 1.29866 1.42296 9.57% - 0s
0 0 1.42296 0 15 1.29866 1.42296 9.57% - 0s
0 2 1.42296 0 15 1.29866 1.42296 9.57% - 0s
* 46 5 13 1.3237389 1.35828 2.61% 4.5 0s
Cutting planes:
Gomory: 8
Implied bound: 7
MIR: 3
Flow cover: 13
Explored 63 nodes (668 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.32374 1.29866 1.24184
Optimal solution found (tolerance 1.00e-02)
Best objective 1.323738870689e+00, best bound 1.323738870689e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvk88351q.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps7o8pr76.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19799
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.713733e+00, 217 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71373 0 17 1.19799 1.71373 43.1% - 0s
0 0 1.38784 0 26 1.19799 1.38784 15.8% - 0s
0 0 1.34270 0 26 1.19799 1.34270 12.1% - 0s
0 0 1.34144 0 26 1.19799 1.34144 12.0% - 0s
0 0 1.33632 0 21 1.19799 1.33632 11.5% - 0s
0 0 1.33596 0 27 1.19799 1.33596 11.5% - 0s
0 0 1.33596 0 27 1.19799 1.33596 11.5% - 0s
0 0 1.33432 0 22 1.19799 1.33432 11.4% - 0s
0 0 1.33432 0 22 1.19799 1.33432 11.4% - 0s
0 2 1.33432 0 20 1.19799 1.33432 11.4% - 0s
* 37 18 14 1.2099818 1.27008 4.97% 5.3 0s
* 58 3 14 1.2274685 1.24521 1.45% 4.7 0s
Cutting planes:
Gomory: 7
Implied bound: 3
MIR: 5
Flow cover: 9
Explored 68 nodes (688 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22747 1.20998 1.19799
Optimal solution found (tolerance 1.00e-02)
Best objective 1.227468485697e+00, best bound 1.227468485697e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_fay6fxn.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_ypgpbqm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10345
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.696082e+00, 250 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69608 0 19 1.10345 1.69608 53.7% - 0s
0 0 1.33683 0 26 1.10345 1.33683 21.1% - 0s
0 0 1.33290 0 25 1.10345 1.33290 20.8% - 0s
0 0 1.33230 0 28 1.10345 1.33230 20.7% - 0s
0 0 1.33230 0 27 1.10345 1.33230 20.7% - 0s
0 2 1.33230 0 27 1.10345 1.33230 20.7% - 0s
* 84 48 25 1.2045178 1.27774 6.08% 5.5 0s
* 92 40 22 1.2206594 1.27774 4.68% 5.5 0s
Cutting planes:
Gomory: 11
Implied bound: 5
MIR: 1
Flow cover: 15
Inf proof: 2
Explored 234 nodes (1454 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22066 1.20452 1.10345
Optimal solution found (tolerance 1.00e-02)
Best objective 1.220659419005e+00, best bound 1.220659419005e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps2x4pylt.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvswpz9hb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08004
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.712229e+00, 287 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71223 0 22 1.08004 1.71223 58.5% - 0s
0 0 1.38870 0 25 1.08004 1.38870 28.6% - 0s
0 0 1.36832 0 26 1.08004 1.36832 26.7% - 0s
0 0 1.36764 0 26 1.08004 1.36764 26.6% - 0s
0 0 1.36725 0 26 1.08004 1.36725 26.6% - 0s
0 0 1.36624 0 26 1.08004 1.36624 26.5% - 0s
0 0 1.36624 0 26 1.08004 1.36624 26.5% - 0s
0 2 1.36624 0 26 1.08004 1.36624 26.5% - 0s
* 901 87 24 1.2288571 1.26825 3.21% 6.5 0s
Cutting planes:
Gomory: 10
Cover: 6
Implied bound: 17
MIR: 2
Flow cover: 25
Inf proof: 25
Explored 1100 nodes (7475 simplex iterations) in 0.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.22886 1.08004
Optimal solution found (tolerance 1.00e-02)
Best objective 1.228857123286e+00, best bound 1.229823580711e+00, gap 0.0786%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdxblk3_9.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvwoxidia.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-05, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14664
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.598042e+00, 322 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59804 0 23 1.14664 1.59804 39.4% - 0s
0 0 1.29598 0 26 1.14664 1.29598 13.0% - 0s
0 0 1.27693 0 29 1.14664 1.27693 11.4% - 0s
0 0 1.27599 0 29 1.14664 1.27599 11.3% - 0s
0 0 1.27500 0 30 1.14664 1.27500 11.2% - 0s
0 0 1.27460 0 30 1.14664 1.27460 11.2% - 0s
0 0 1.27142 0 30 1.14664 1.27142 10.9% - 0s
0 0 1.27136 0 30 1.14664 1.27136 10.9% - 0s
0 0 1.27136 0 30 1.14664 1.27136 10.9% - 0s
0 0 1.27106 0 30 1.14664 1.27106 10.9% - 0s
0 0 1.27106 0 30 1.14664 1.27106 10.9% - 0s
0 2 1.27106 0 30 1.14664 1.27106 10.9% - 0s
Cutting planes:
Gomory: 8
Implied bound: 6
MIR: 5
Flow cover: 20
Inf proof: 3
Explored 377 nodes (2821 simplex iterations) in 0.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.14664
Optimal solution found (tolerance 1.00e-02)
Best objective 1.146641698102e+00, best bound 1.146641698102e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7qj9hil2.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsjl82t6r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-05, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06409
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.612864e+00, 336 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61286 0 26 1.06409 1.61286 51.6% - 0s
0 0 1.31016 0 28 1.06409 1.31016 23.1% - 0s
0 0 1.30707 0 26 1.06409 1.30707 22.8% - 0s
0 0 1.30703 0 26 1.06409 1.30703 22.8% - 0s
0 0 1.30686 0 30 1.06409 1.30686 22.8% - 0s
0 0 1.30626 0 30 1.06409 1.30626 22.8% - 0s
0 0 1.30626 0 26 1.06409 1.30626 22.8% - 0s
0 2 1.30626 0 26 1.06409 1.30626 22.8% - 0s
* 174 68 30 1.1665660 1.24379 6.62% 5.8 0s
Cutting planes:
Gomory: 10
Implied bound: 9
MIR: 3
Flow cover: 27
Inf proof: 8
Explored 684 nodes (4900 simplex iterations) in 0.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.16657 1.06409
Optimal solution found (tolerance 1.00e-02)
Best objective 1.166565984005e+00, best bound 1.169220723360e+00, gap 0.2276%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnjdvuv97.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplkfsjd5c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-05, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.085
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.530157e+00, 383 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53016 0 31 1.08500 1.53016 41.0% - 0s
0 0 1.25241 0 28 1.08500 1.25241 15.4% - 0s
0 0 1.24946 0 30 1.08500 1.24946 15.2% - 0s
0 0 1.24942 0 29 1.08500 1.24942 15.2% - 0s
0 0 1.24920 0 32 1.08500 1.24920 15.1% - 0s
0 0 1.24910 0 32 1.08500 1.24910 15.1% - 0s
0 0 1.24910 0 32 1.08500 1.24910 15.1% - 0s
0 2 1.24910 0 32 1.08500 1.24910 15.1% - 0s
* 304 128 35 1.0903652 1.18698 8.86% 5.2 0s
* 840 70 31 1.0933352 1.13436 3.75% 6.5 0s
Cutting planes:
Gomory: 11
Cover: 2
Implied bound: 12
MIR: 1
Flow cover: 24
Inf proof: 15
Explored 989 nodes (6988 simplex iterations) in 0.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.09334 1.09037 1.085
Optimal solution found (tolerance 1.00e-02)
Best objective 1.093335240290e+00, best bound 1.093335240290e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpki13kpez.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfo6y27u2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-05, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.98259
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.517776e+00, 381 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51778 0 35 0.98259 1.51778 54.5% - 0s
0 0 1.24855 0 33 0.98259 1.24855 27.1% - 0s
0 0 1.24606 0 36 0.98259 1.24606 26.8% - 0s
0 0 1.24606 0 35 0.98259 1.24606 26.8% - 0s
0 0 1.24580 0 38 0.98259 1.24580 26.8% - 0s
0 0 1.24504 0 36 0.98259 1.24504 26.7% - 0s
0 0 1.24498 0 36 0.98259 1.24498 26.7% - 0s
0 0 1.24419 0 34 0.98259 1.24419 26.6% - 0s
0 0 1.24416 0 35 0.98259 1.24416 26.6% - 0s
0 0 1.24415 0 34 0.98259 1.24415 26.6% - 0s
0 0 1.24415 0 32 0.98259 1.24415 26.6% - 0s
0 2 1.24415 0 32 0.98259 1.24415 26.6% - 0s
* 919 332 46 0.9939139 1.17431 18.1% 8.0 0s
H 1475 423 1.0496982 1.16557 11.0% 7.8 0s
* 1889 348 42 1.0554343 1.10651 4.84% 8.6 1s
* 1945 307 43 1.0582393 1.10651 4.56% 8.6 1s
Cutting planes:
Gomory: 36
Cover: 5
Implied bound: 9
Projected implied bound: 7
Clique: 3
MIR: 5
Flow cover: 27
Inf proof: 17
Explored 2157 nodes (19515 simplex iterations) in 1.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.05824 1.05543 1.0497 ... 0.98259
Optimal solution found (tolerance 1.00e-02)
Best objective 1.058239335495e+00, best bound 1.058239335495e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpupdawcq0.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpewxi4bxo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.970543
Presolve removed 326 rows and 213 columns
Presolve time: 0.02s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.488767e+00, 402 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48877 0 43 0.97054 1.48877 53.4% - 0s
0 0 1.21553 0 42 0.97054 1.21553 25.2% - 0s
0 0 1.21066 0 45 0.97054 1.21066 24.7% - 0s
0 0 1.21051 0 45 0.97054 1.21051 24.7% - 0s
0 0 1.21051 0 45 0.97054 1.21051 24.7% - 0s
0 0 1.21022 0 50 0.97054 1.21022 24.7% - 0s
0 0 1.21022 0 46 0.97054 1.21022 24.7% - 0s
0 2 1.21022 0 46 0.97054 1.21022 24.7% - 0s
* 681 289 53 1.0090713 1.13246 12.2% 7.7 0s
H 1443 559 1.0090713 1.11908 10.9% 7.6 0s
* 3997 28 44 1.0217398 1.03415 1.21% 9.9 2s
Cutting planes:
Gomory: 42
Cover: 8
Implied bound: 12
Projected implied bound: 19
MIR: 5
Flow cover: 27
Inf proof: 32
Explored 4061 nodes (40688 simplex iterations) in 2.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.02174 1.00907 1.00907 0.970543
Optimal solution found (tolerance 1.00e-02)
Best objective 1.021739809070e+00, best bound 1.031378048642e+00, gap 0.9433%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv9zpc5v7.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf2v57b9m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.94006
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.476049e+00, 412 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47605 0 48 0.94006 1.47605 57.0% - 0s
0 0 1.20151 0 45 0.94006 1.20151 27.8% - 0s
0 0 1.19660 0 47 0.94006 1.19660 27.3% - 0s
0 0 1.19657 0 47 0.94006 1.19657 27.3% - 0s
0 0 1.19639 0 52 0.94006 1.19639 27.3% - 0s
0 0 1.19639 0 48 0.94006 1.19639 27.3% - 0s
0 2 1.19639 0 48 0.94006 1.19639 27.3% - 0s
H 1635 339 0.9728632 1.08336 11.4% 11.3 2s
* 2616 365 51 0.9800140 1.03569 5.68% 10.3 2s
* 2790 367 49 0.9821508 1.03265 5.14% 10.2 2s
* 3469 153 47 0.9943460 1.00914 1.49% 10.0 3s
Cutting planes:
Gomory: 47
Cover: 2
Implied bound: 11
Projected implied bound: 20
MIR: 2
Flow cover: 28
Inf proof: 15
Explored 3632 nodes (36779 simplex iterations) in 3.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.994346 0.982151 0.980014 ... 0.94006
Optimal solution found (tolerance 1.00e-02)
Best objective 9.943460025447e-01, best bound 1.001736574990e+00, gap 0.7433%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1g7do0hw.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnrjuavi2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.936503
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.403171e+00, 460 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40317 0 47 0.93650 1.40317 49.8% - 0s
0 0 1.13448 0 48 0.93650 1.13448 21.1% - 0s
0 0 1.12981 0 51 0.93650 1.12981 20.6% - 0s
0 0 1.12978 0 50 0.93650 1.12978 20.6% - 0s
0 0 1.12959 0 52 0.93650 1.12959 20.6% - 0s
0 0 1.12959 0 51 0.93650 1.12959 20.6% - 0s
0 2 1.12959 0 51 0.93650 1.12959 20.6% - 0s
Cutting planes:
Gomory: 41
Cover: 2
Implied bound: 15
Projected implied bound: 23
MIR: 8
Flow cover: 41
Inf proof: 24
Explored 3895 nodes (39688 simplex iterations) in 3.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.936503
Optimal solution found (tolerance 1.00e-02)
Best objective 9.365028580462e-01, best bound 9.365028580462e-01, gap 0.0000%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg4bivzcd.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplhij5x93.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.950485
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.388476e+00, 496 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38848 0 54 0.95048 1.38848 46.1% - 0s
0 0 1.16906 0 46 0.95048 1.16906 23.0% - 0s
0 0 1.16906 0 48 0.95048 1.16906 23.0% - 0s
0 0 1.15234 0 59 0.95048 1.15234 21.2% - 0s
0 0 1.15156 0 56 0.95048 1.15156 21.2% - 0s
0 0 1.15135 0 56 0.95048 1.15135 21.1% - 0s
0 0 1.15017 0 59 0.95048 1.15017 21.0% - 0s
0 0 1.14966 0 55 0.95048 1.14966 21.0% - 0s
0 0 1.14965 0 55 0.95048 1.14965 21.0% - 0s
0 0 1.14935 0 55 0.95048 1.14935 20.9% - 0s
0 0 1.14935 0 52 0.95048 1.14935 20.9% - 0s
0 2 1.14935 0 52 0.95048 1.14935 20.9% - 0s
Cutting planes:
Gomory: 50
Cover: 3
Implied bound: 23
Projected implied bound: 22
MIR: 7
Flow cover: 42
Inf proof: 40
Explored 4365 nodes (56247 simplex iterations) in 3.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.950485
Optimal solution found (tolerance 1.00e-02)
Best objective 9.504847173185e-01, best bound 9.584406459562e-01, gap 0.8370%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0m24hayz.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvl4gnwvd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.957221
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.372348e+00, 515 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37235 0 53 0.95722 1.37235 43.4% - 0s
0 0 1.18829 0 55 0.95722 1.18829 24.1% - 0s
0 0 1.17592 0 62 0.95722 1.17592 22.8% - 0s
0 0 1.16789 0 63 0.95722 1.16789 22.0% - 0s
0 0 1.16770 0 66 0.95722 1.16770 22.0% - 0s
0 0 1.16691 0 64 0.95722 1.16691 21.9% - 0s
0 0 1.16653 0 64 0.95722 1.16653 21.9% - 0s
0 0 1.16619 0 66 0.95722 1.16619 21.8% - 0s
0 0 1.16610 0 65 0.95722 1.16610 21.8% - 0s
0 0 1.16579 0 64 0.95722 1.16579 21.8% - 0s
0 0 1.16568 0 65 0.95722 1.16568 21.8% - 0s
0 0 1.16568 0 61 0.95722 1.16568 21.8% - 0s
0 2 1.16568 0 60 0.95722 1.16568 21.8% - 0s
Cutting planes:
Gomory: 64
Cover: 7
Implied bound: 16
Projected implied bound: 24
MIR: 7
Flow cover: 49
Inf proof: 29
Explored 5525 nodes (63173 simplex iterations) in 4.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.957221
Optimal solution found (tolerance 1.00e-02)
Best objective 9.572210411425e-01, best bound 9.660165068999e-01, gap 0.9189%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx79zx3dy.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfepvc5dd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.958611
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.353430e+00, 550 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35343 0 51 0.95861 1.35343 41.2% - 0s
0 0 1.19236 0 56 0.95861 1.19236 24.4% - 0s
0 0 1.18051 0 68 0.95861 1.18051 23.1% - 0s
0 0 1.17340 0 65 0.95861 1.17340 22.4% - 0s
0 0 1.17303 0 67 0.95861 1.17303 22.4% - 0s
0 0 1.17293 0 68 0.95861 1.17293 22.4% - 0s
0 0 1.17266 0 74 0.95861 1.17266 22.3% - 0s
0 0 1.17242 0 74 0.95861 1.17242 22.3% - 0s
0 0 1.17208 0 72 0.95861 1.17208 22.3% - 0s
0 0 1.17208 0 61 0.95861 1.17208 22.3% - 0s
0 1 1.17208 0 61 0.95861 1.17208 22.3% - 0s
3071 499 0.97260 39 46 0.95861 1.03109 7.56% 17.1 5s
Cutting planes:
Gomory: 80
Cover: 1
Implied bound: 21
Projected implied bound: 22
MIR: 9
Flow cover: 61
Inf proof: 38
Explored 5555 nodes (88231 simplex iterations) in 7.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.958611
Optimal solution found (tolerance 1.00e-02)
Best objective 9.586110682391e-01, best bound 9.586110682391e-01, gap 0.0000%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpox403nky.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_320h2x8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.943764
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.316403e+00, 572 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31640 0 56 0.94376 1.31640 39.5% - 0s
0 0 1.17236 0 59 0.94376 1.17236 24.2% - 0s
0 0 1.15600 0 66 0.94376 1.15600 22.5% - 0s
0 0 1.14524 0 65 0.94376 1.14524 21.3% - 0s
0 0 1.14461 0 68 0.94376 1.14461 21.3% - 0s
0 0 1.14452 0 69 0.94376 1.14452 21.3% - 0s
0 0 1.14421 0 75 0.94376 1.14421 21.2% - 0s
0 0 1.14421 0 68 0.94376 1.14421 21.2% - 0s
0 1 1.14421 0 67 0.94376 1.14421 21.2% - 0s
4040 385 cutoff 24 0.94376 0.98369 4.23% 15.7 5s
Cutting planes:
Gomory: 59
Cover: 3
Implied bound: 18
Projected implied bound: 8
MIR: 4
Flow cover: 42
Inf proof: 33
Explored 5085 nodes (78304 simplex iterations) in 6.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.943764
Optimal solution found (tolerance 1.00e-02)
Best objective 9.437637174747e-01, best bound 9.514822569057e-01, gap 0.8178%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb5jvmg_i.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu4ul4djk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.922165
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.264573e+00, 587 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26457 0 59 0.92216 1.26457 37.1% - 0s
0 0 1.13526 0 64 0.92216 1.13526 23.1% - 0s
0 0 1.10224 0 66 0.92216 1.10224 19.5% - 0s
0 0 1.10223 0 67 0.92216 1.10223 19.5% - 0s
0 0 1.10180 0 74 0.92216 1.10180 19.5% - 0s
0 0 1.10180 0 65 0.92216 1.10180 19.5% - 0s
0 2 1.10180 0 65 0.92216 1.10180 19.5% - 0s
4206 222 infeasible 51 0.92216 0.94273 2.23% 14.0 5s
Cutting planes:
Gomory: 65
Cover: 3
Implied bound: 13
Projected implied bound: 13
MIR: 7
Flow cover: 33
Inf proof: 34
Explored 4749 nodes (68639 simplex iterations) in 5.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.922165
Optimal solution found (tolerance 1.00e-02)
Best objective 9.221647282463e-01, best bound 9.266135668060e-01, gap 0.4824%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpncg4l4fo.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpht6sihbg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910373
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.238961e+00, 639 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23896 0 64 0.91037 1.23896 36.1% - 0s
0 0 1.18364 0 67 0.91037 1.18364 30.0% - 0s
0 0 1.17193 0 70 0.91037 1.17193 28.7% - 0s
0 0 1.17168 0 72 0.91037 1.17168 28.7% - 0s
0 0 1.17057 0 75 0.91037 1.17057 28.6% - 0s
0 0 1.17057 0 74 0.91037 1.17057 28.6% - 0s
0 0 1.17004 0 72 0.91037 1.17004 28.5% - 0s
0 0 1.17004 0 71 0.91037 1.17004 28.5% - 0s
0 0 1.17004 0 65 0.91037 1.17004 28.5% - 0s
0 2 1.17004 0 65 0.91037 1.17004 28.5% - 0s
Cutting planes:
Gomory: 46
Cover: 4
Implied bound: 14
Projected implied bound: 27
MIR: 7
Flow cover: 37
Inf proof: 30
Explored 4081 nodes (47938 simplex iterations) in 4.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.910373
Optimal solution found (tolerance 1.00e-02)
Best objective 9.103734871278e-01, best bound 9.191813057833e-01, gap 0.9675%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppje5vlsw.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv3wt_x_h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.913965
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.221796e+00, 652 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22180 0 63 0.91396 1.22180 33.7% - 0s
0 0 1.12432 0 72 0.91396 1.12432 23.0% - 0s
0 0 1.12430 0 72 0.91396 1.12430 23.0% - 0s
0 0 1.11111 0 70 0.91396 1.11111 21.6% - 0s
0 0 1.11077 0 71 0.91396 1.11077 21.5% - 0s
0 0 1.10770 0 78 0.91396 1.10770 21.2% - 0s
0 0 1.10692 0 73 0.91396 1.10692 21.1% - 0s
0 0 1.10684 0 71 0.91396 1.10684 21.1% - 0s
0 0 1.10640 0 74 0.91396 1.10640 21.1% - 0s
0 0 1.10638 0 72 0.91396 1.10638 21.1% - 0s
0 0 1.10638 0 65 0.91396 1.10638 21.1% - 0s
0 2 1.10638 0 63 0.91396 1.10638 21.1% - 0s
2939 398 0.91467 51 35 0.91396 0.96691 5.79% 16.9 5s
* 4500 89 73 0.9139649 0.92883 1.63% 16.4 6s
Cutting planes:
Gomory: 69
Cover: 2
Implied bound: 14
Projected implied bound: 11
MIR: 9
Flow cover: 30
Inf proof: 34
Explored 4899 nodes (77968 simplex iterations) in 6.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.913965 0.913965
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (3.9755e-06) exceeds tolerance
Best objective 9.139648931338e-01, best bound 9.203404381333e-01, gap 0.6976%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz_9t5369.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzm5vza2y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.187943e+00, 676 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18794 0 62 - 1.18794 - - 0s
Another try with MIP start
H 0 0 0.9020416 1.18794 31.7% - 0s
0 0 1.11009 0 75 0.90204 1.11009 23.1% - 0s
0 0 1.11008 0 75 0.90204 1.11008 23.1% - 0s
0 0 1.10317 0 74 0.90204 1.10317 22.3% - 0s
0 0 1.10308 0 69 0.90204 1.10308 22.3% - 0s
0 0 1.09968 0 81 0.90204 1.09968 21.9% - 0s
0 0 1.09917 0 79 0.90204 1.09917 21.9% - 0s
0 0 1.09807 0 78 0.90204 1.09807 21.7% - 0s
0 0 1.09807 0 78 0.90204 1.09807 21.7% - 0s
0 0 1.09778 0 75 0.90204 1.09778 21.7% - 0s
0 0 1.09778 0 71 0.90204 1.09778 21.7% - 0s
0 2 1.09778 0 70 0.90204 1.09778 21.7% - 0s
3035 414 0.93074 28 66 0.90204 0.97605 8.20% 20.4 5s
Cutting planes:
Gomory: 69
Implied bound: 20
Projected implied bound: 34
MIR: 7
Flow cover: 59
Inf proof: 48
Explored 6457 nodes (113044 simplex iterations) in 8.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.902042
Optimal solution found (tolerance 1.00e-02)
Best objective 9.020416490678e-01, best bound 9.105245176810e-01, gap 0.9404%
Run 2
Seed for training 219
Seed for simulation 520
direc: array([[ 3.76886351e-09, 5.00556213e-16, 1.98235341e-11],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.70530257e-24, -0.00000000e+00, -1.00000000e-11]])
fopt: 0.3526291031858609
fun: -0.3542615984610423
message: 'Optimization terminated successfully.'
nfev: 471
nit: 4
status: 0
success: True
x: array([191.1206661 , 1.00000355, 4. ])
xopt: array([191., 1., 5.])
zopt: array([191., 192., 197.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdtmebc9l.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgteolf0h.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.352629
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.114355e+00, 645 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11435 0 56 0.35263 1.11435 216% - 0s
0 0 0.98397 0 67 0.35263 0.98397 179% - 0s
0 0 0.96590 0 79 0.35263 0.96590 174% - 0s
0 0 0.96575 0 77 0.35263 0.96575 174% - 0s
0 0 0.96495 0 78 0.35263 0.96495 174% - 0s
0 0 0.96495 0 74 0.35263 0.96495 174% - 0s
0 2 0.96495 0 74 0.35263 0.96495 174% - 0s
3571 1296 0.67258 34 61 0.35263 0.83850 138% 22.8 5s
* 4864 1175 93 0.5314463 0.81626 53.6% 24.7 7s
6717 1600 cutoff 33 0.53145 0.79920 50.4% 24.8 10s
* 6771 1572 84 0.5373194 0.79768 48.5% 24.7 10s
H 8132 1625 0.5664622 0.78903 39.3% 24.7 12s
* 8397 1411 103 0.5947643 0.78612 32.2% 24.6 12s
H 9949 1269 0.6443026 0.77926 20.9% 23.9 15s
*11954 697 93 0.7353398 0.76957 4.66% 22.2 16s
*12334 652 93 0.7395066 0.76860 3.93% 21.8 17s
*12336 640 93 0.7398940 0.76860 3.88% 21.8 17s
*15168 517 81 0.7416330 0.75555 1.88% 19.7 19s
15445 396 cutoff 62 0.74163 0.75184 1.38% 19.5 20s
Cutting planes:
Gomory: 70
Cover: 4
Implied bound: 38
Projected implied bound: 33
Clique: 2
MIR: 11
Flow cover: 36
Inf proof: 155
Explored 16343 nodes (309906 simplex iterations) in 20.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.741633 0.739894 0.739507 ... 0.352629
Optimal solution found (tolerance 0.00e+00)
Best objective 7.416329714050e-01, best bound 7.416329714050e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf4unzjif.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp80ny42b3.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 468 rows and 334 columns
Presolve time: 0.00s
Presolved: 163 rows, 207 columns, 820 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.6758720e+01 3.705000e+02 0.000000e+00 0s
100 1.7261473e+01 0.000000e+00 0.000000e+00 0s
Solved in 100 iterations and 0.00 seconds
Optimal objective 1.726147255e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.20038265, 0.98728048, 0.98728048]])
fopt: 3.375742060899223
fun: -3.388216904912644
message: 'Optimization terminated successfully.'
nfev: 131
nit: 2
status: 0
success: True
x: array([ 19.06381798, -86.9999955 , -86.9999955 ])
xopt: array([19., 0., 0.])
zopt: array([19., 19., 19.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.04334082, -0.00213998, -0.00206013]])
fopt: 2.828251153517228
fun: -2.853054395795633
message: 'Optimization terminated successfully.'
nfev: 131
nit: 2
status: 0
success: True
x: array([41.02672886, -0.99881703, -0.91981681])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.88196953e-04, -4.26989900e-04, -3.23687055e-04]])
fopt: 1.8453686417886719
fun: -1.8620900816224504
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 41.10846643, -88.9999329 , -66.98406784])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.43793927e-07, -4.30114491e-09, -1.93520986e-07]])
fopt: 1.6603995208689843
fun: -1.661624975583576
message: 'Optimization terminated successfully.'
nfev: 220
nit: 2
status: 0
success: True
x: array([ 67.86309314, -1. , -87.99580118])
xopt: array([68., 0., 0.])
zopt: array([68., 68., 68.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.46535782e-01, -2.62070919e-11, 7.89267687e-03]])
fopt: 1.6729644935549584
fun: -1.6796898698741498
message: 'Optimization terminated successfully.'
nfev: 265
nit: 2
status: 0
success: True
x: array([86.21169831, 1. , -0.94077621])
xopt: array([86., 1., 0.])
zopt: array([86., 87., 87.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.24440657e-03, -1.25081085e-09, 3.89933351e-05]])
fopt: 1.3898083723594221
fun: -1.3869975978697715
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([86.60786083, 1.00008598, -1.69307318])
xopt: array([86., 1., 0.])
zopt: array([86., 87., 87.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.13649929e-04, -1.03796535e-10, -0.00000000e+00]])
fopt: 1.3728764799599036
fun: -1.3756876117373005
message: 'Optimization terminated successfully.'
nfev: 264
nit: 2
status: 0
success: True
x: array([116.34108977, 1.00003817, 1. ])
xopt: array([116., 1., 1.])
zopt: array([116., 117., 118.])
*******************************************
Period: 8
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.84075288e-06, 6.50801190e-10, 0.00000000e+00]])
fopt: 1.229524430547023
fun: -1.2327434316004982
message: 'Optimization terminated successfully.'
nfev: 250
nit: 2
status: 0
success: True
x: array([131.82458242, 1.02997116, 1. ])
xopt: array([131., 2., 1.])
zopt: array([131., 133., 134.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.1397134758712286
fun: -1.1397570270160982
message: 'Optimization terminated successfully.'
nfev: 186
nit: 2
status: 0
success: True
x: array([149.14302874, 1.00000001, 0.7439649 ])
xopt: array([149., 1., 0.])
zopt: array([149., 150., 150.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.049198378672975
fun: -1.0503472021666544
message: 'Optimization terminated successfully.'
nfev: 144
nit: 2
status: 0
success: True
x: array([164.99998091, 2. , -0.99999999])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.951991025837901
fun: -0.952492743898176
message: 'Optimization terminated successfully.'
nfev: 292
nit: 3
status: 0
success: True
x: array([164.9902112 , 2.00275149, -0.99999999])
xopt: array([164., 3., 0.])
zopt: array([164., 167., 167.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8615289000710686
fun: -0.8620270358535562
message: 'Optimization terminated successfully.'
nfev: 489
nit: 5
status: 0
success: True
x: array([164.99999983, 2.00000551, -0.97366141])
xopt: array([164., 3., 0.])
zopt: array([164., 167., 167.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7782005789145884
fun: -0.7806627546207268
message: 'Optimization terminated successfully.'
nfev: 340
nit: 4
status: 0
success: True
x: array([166.00007647, 1.00024405, -0.9989784 ])
xopt: array([166., 1., 0.])
zopt: array([166., 167., 167.])
*******************************************
Period: 14
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.19493779e-02, -5.87672366e-07, 1.18119270e-04]])
fopt: 0.7134514536868158
fun: -0.7139796673871814
message: 'Optimization terminated successfully.'
nfev: 331
nit: 3
status: 0
success: True
x: array([166.31115839, 1.00812235, -0.63480632])
xopt: array([166., 1., 0.])
zopt: array([166., 167., 167.])
*******************************************
Period: 15
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.6576237476383858
fun: -0.6580571300506003
message: 'Optimization terminated successfully.'
nfev: 332
nit: 3
status: 0
success: True
x: array([166.32310805, 1.00813062, -0.63425526])
xopt: array([166., 1., 0.])
zopt: array([166., 167., 167.])
*******************************************
Period: 16
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.27791098e-01, -1.61208199e-05, 2.76176523e-03]])
fopt: 0.6077729658711786
fun: -0.6080632587967336
message: 'Optimization terminated successfully.'
nfev: 254
nit: 3
status: 0
success: True
x: array([165.97020907, 1.00007488, -0.99484969])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 17
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.5626302107187442
fun: -0.5630035617432435
message: 'Optimization terminated successfully.'
nfev: 227
nit: 2
status: 0
success: True
x: array([166.32310805, 1.00813062, -0.58548903])
xopt: array([166., 1., 0.])
zopt: array([166., 167., 167.])
*******************************************
Period: 18
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.5171167883097223
fun: -0.5185194331690843
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([166.04623837, 1.0113333 , 2. ])
xopt: array([166., 1., 2.])
zopt: array([166., 167., 169.])
*******************************************
Period: 19
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.48291430673985464
fun: -0.482241412868824
message: 'Optimization terminated successfully.'
nfev: 410
nit: 4
status: 0
success: True
x: array([165.58816355, 2.00042562, -0.72119365])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 20
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.447194134359944
fun: -0.44830310184268785
message: 'Optimization terminated successfully.'
nfev: 237
nit: 2
status: 0
success: True
x: array([166.15129799, 1.00000312, 2. ])
xopt: array([166., 1., 2.])
zopt: array([166., 167., 169.])
*******************************************
Period: 21
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.4211077791751846
fun: -0.42136039797239505
message: 'Optimization terminated successfully.'
nfev: 224
nit: 2
status: 0
success: True
x: array([165.96209101, 1.00000116, -0.72979347])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 22
direc: array([[ 0. , 0. , 1. ],
[121.06842449, 6.03674947, -4.80488554],
[ -0.27360213, -0.71094387, 1.07847052]])
fopt: 0.47270641635009175
fun: -0.4709977763202794
message: 'Optimization terminated successfully.'
nfev: 454
nit: 5
status: 0
success: True
x: array([161.83678328, 6.17748079, -1.50510214])
xopt: array([161., 6., 0.])
zopt: array([161., 167., 167.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.5045411 , -0. , 0.00586143]])
fopt: 0.5039998086872732
fun: -0.5051559519263698
message: 'Optimization terminated successfully.'
nfev: 307
nit: 3
status: 0
success: True
x: array([165.99910895, 1. , -0.99999982])
xopt: array([166., 1., 0.])
zopt: array([166., 167., 167.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[80.97807564, 0. , -1.90105026]])
fopt: 0.48512540732128884
fun: -0.4857599251728524
message: 'Optimization terminated successfully.'
nfev: 413
nit: 4
status: 0
success: True
x: array([167.17106655, 0.81981272, -1.99148291])
xopt: array([167., 0., 0.])
zopt: array([167., 167., 167.])
*******************************************
Period: 25
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 8.17624726e+01, 0.00000000e+00, -1.91881630e+00],
[-0.00000000e+00, 5.82593833e-06, -0.00000000e+00]])
fopt: 0.50763190570085
fun: -0.505413414819313
message: 'Optimization terminated successfully.'
nfev: 462
nit: 4
status: 0
success: True
x: array([167.96945935, 0.97333467, -2.99431497])
xopt: array([167., 0., 0.])
zopt: array([167., 167., 167.])
*******************************************
Period: 26
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.5179332831115836
fun: -0.5177310356400907
message: 'Optimization terminated successfully.'
nfev: 187
nit: 2
status: 0
success: True
x: array([165.37616046, 2. , -0.99976198])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.34073068, 0. , -0.00410011]])
fopt: 0.5058474526560729
fun: -0.5069325448497893
message: 'Optimization terminated successfully.'
nfev: 352
nit: 3
status: 0
success: True
x: array([165.98198194, 1.00109775, -0.98759848])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.44751646, -0. , 0.00519954]])
fopt: 0.5137392361154953
fun: -0.5147275027148465
message: 'Optimization terminated successfully.'
nfev: 321
nit: 3
status: 0
success: True
x: array([165.94580904, 1. , -0.99967322])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 29
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.67775123e-02, 0.00000000e+00, -9.01442341e-04]])
fopt: 0.522135253023333
fun: -0.5230613643253988
message: 'Optimization terminated successfully.'
nfev: 320
nit: 3
status: 0
success: True
x: array([165.93330826, 1.00752221, -0.99914921])
xopt: array([165., 2., 0.])
zopt: array([165., 167., 167.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwsgjsgct.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcm32j0g8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.85222
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.37574 1.85222
Optimal solution found (tolerance 1.00e-02)
Best objective 3.375742060899e+00, best bound 3.375742060899e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7bbjcdhp.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4o0bkn3i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25142
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.828251e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.8282512 2.82825 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.82825 1.25142
Optimal solution found (tolerance 1.00e-02)
Best objective 2.828251153517e+00, best bound 2.828251153517e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4hfmetby.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp17d4a3pc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.84537
Presolve removed 121 rows and 89 columns
Presolve time: 0.00s
Presolved: 24 rows, 20 columns, 70 nonzeros
Variable types: 9 continuous, 11 integer (8 binary)
Root relaxation: cutoff, 4 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 cutoff 0 1.84537 1.84537 0.00% - 0s
Explored 0 nodes (4 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.84537
Optimal solution found (tolerance 1.00e-02)
Best objective 1.845368641789e+00, best bound 1.845368641789e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7yb_qamt.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjv8k_y7o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.36046
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 1.951701e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95170 0 7 1.36046 1.95170 43.5% - 0s
H 0 0 1.6603995 1.95170 17.5% - 0s
0 0 cutoff 0 1.66040 1.66040 0.00% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
Flow cover: 1
Flow path: 1
Explored 1 nodes (63 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.6604 1.36046
Optimal solution found (tolerance 1.00e-02)
Best objective 1.660399520869e+00, best bound 1.660399520869e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprgvdknwb.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm6bf3ik5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1726
Presolve removed 123 rows and 85 columns
Presolve time: 0.01s
Presolved: 114 rows, 90 columns, 380 nonzeros
Variable types: 43 continuous, 47 integer (42 binary)
Root relaxation: objective 2.121770e+00, 65 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12177 0 8 1.17260 2.12177 80.9% - 0s
H 0 0 1.5795307 2.12177 34.3% - 0s
H 0 0 1.7664338 2.12177 20.1% - 0s
0 0 1.93022 0 1 1.76643 1.93022 9.27% - 0s
0 0 1.93022 0 1 1.76643 1.93022 9.27% - 0s
0 0 1.93022 0 1 1.76643 1.93022 9.27% - 0s
0 0 1.79799 0 1 1.76643 1.79799 1.79% - 0s
0 0 infeasible 0 1.76643 1.76643 0.00% - 0s
Explored 1 nodes (120 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.76643 1.57953 1.1726
Optimal solution found (tolerance 1.00e-02)
Best objective 1.766433802654e+00, best bound 1.766433802654e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg9c7v1ih.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpncg1y260.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.4677
Presolve removed 155 rows and 106 columns
Presolve time: 0.01s
Presolved: 128 rows, 102 columns, 439 nonzeros
Variable types: 51 continuous, 51 integer (46 binary)
Root relaxation: objective 1.725395e+00, 75 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60811 0 2 1.46770 1.60811 9.57% - 0s
0 0 1.60418 0 1 1.46770 1.60418 9.30% - 0s
0 0 1.49400 0 1 1.46770 1.49400 1.79% - 0s
0 0 cutoff 0 1.46770 1.46770 0.00% - 0s
Explored 1 nodes (123 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.4677
Optimal solution found (tolerance 1.00e-02)
Best objective 1.467699463275e+00, best bound 1.467699463275e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4t13vu03.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdvge7r89.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23689
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.884791e+00, 111 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88479 0 12 1.23689 1.88479 52.4% - 0s
0 0 1.74806 0 4 1.23689 1.74806 41.3% - 0s
0 0 1.74584 0 7 1.23689 1.74584 41.1% - 0s
0 0 1.74453 0 8 1.23689 1.74453 41.0% - 0s
0 0 1.74453 0 8 1.23689 1.74453 41.0% - 0s
H 0 0 1.4211085 1.74453 22.8% - 0s
H 0 0 1.5392443 1.74453 13.3% - 0s
H 0 0 1.5556573 1.74453 12.1% - 0s
0 0 1.73112 0 2 1.55566 1.73112 11.3% - 0s
0 0 1.63630 0 2 1.55566 1.63630 5.18% - 0s
H 0 0 1.5704291 1.63630 4.19% - 0s
0 0 1.60466 0 2 1.57043 1.60466 2.18% - 0s
0 0 1.60135 0 2 1.57043 1.60135 1.97% - 0s
0 0 1.59632 0 4 1.57043 1.59632 1.65% - 0s
0 0 1.59632 0 2 1.57043 1.59632 1.65% - 0s
0 0 1.58146 0 3 1.57043 1.58146 0.70% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
MIR: 2
Flow cover: 1
Explored 1 nodes (264 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.57043 1.55566 1.53924 ... 1.23689
Optimal solution found (tolerance 1.00e-02)
Best objective 1.570429071912e+00, best bound 1.581459253992e+00, gap 0.7024%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzeou4wz0.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg0ry48rr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29523
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.808919e+00, 135 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80892 0 17 1.29523 1.80892 39.7% - 0s
H 0 0 1.4660993 1.80892 23.4% - 0s
0 0 1.68653 0 6 1.46610 1.68653 15.0% - 0s
0 0 1.68134 0 10 1.46610 1.68134 14.7% - 0s
0 0 1.68134 0 10 1.46610 1.68134 14.7% - 0s
0 0 1.68134 0 9 1.46610 1.68134 14.7% - 0s
0 0 1.67364 0 5 1.46610 1.67364 14.2% - 0s
0 0 1.67364 0 5 1.46610 1.67364 14.2% - 0s
0 0 1.67152 0 5 1.46610 1.67152 14.0% - 0s
0 0 1.66844 0 6 1.46610 1.66844 13.8% - 0s
0 0 1.66822 0 6 1.46610 1.66822 13.8% - 0s
0 0 1.58205 0 4 1.46610 1.58205 7.91% - 0s
0 0 1.58205 0 4 1.46610 1.58205 7.91% - 0s
0 1 1.58205 0 4 1.46610 1.58205 7.91% - 0s
Cutting planes:
Gomory: 4
Implied bound: 1
Clique: 1
MIR: 2
Explored 5 nodes (316 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.4661 1.29523
Optimal solution found (tolerance 1.00e-02)
Best objective 1.466099321588e+00, best bound 1.466099321588e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqn9zi3kc.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_8y687mq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23904
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.771246e+00, 149 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77125 0 19 1.23904 1.77125 43.0% - 0s
0 0 1.66533 0 11 1.23904 1.66533 34.4% - 0s
0 0 1.66180 0 13 1.23904 1.66180 34.1% - 0s
0 0 1.66109 0 11 1.23904 1.66109 34.1% - 0s
0 0 1.66106 0 11 1.23904 1.66106 34.1% - 0s
0 0 1.66106 0 11 1.23904 1.66106 34.1% - 0s
H 0 0 1.2703588 1.66106 30.8% - 0s
0 2 1.66106 0 11 1.27036 1.66106 30.8% - 0s
H 4 6 1.3630633 1.65332 21.3% 7.0 0s
H 9 8 1.4164473 1.65332 16.7% 6.3 0s
Cutting planes:
Gomory: 6
Implied bound: 1
Clique: 1
Flow cover: 13
Inf proof: 2
Explored 69 nodes (658 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.41645 1.36306 1.27036 1.23904
Optimal solution found (tolerance 1.00e-02)
Best objective 1.416447284035e+00, best bound 1.416447284035e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg1eotjwc.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp407ufrtt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2159
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.734250e+00, 172 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73425 0 23 1.21590 1.73425 42.6% - 0s
0 0 1.63988 0 12 1.21590 1.63988 34.9% - 0s
0 0 1.63773 0 11 1.21590 1.63773 34.7% - 0s
0 0 1.63773 0 11 1.21590 1.63773 34.7% - 0s
H 0 0 1.2924878 1.63773 26.7% - 0s
0 2 1.63773 0 11 1.29249 1.63773 26.7% - 0s
H 10 6 1.3300207 1.62742 22.4% 6.2 0s
* 65 9 15 1.3515196 1.61042 19.2% 5.2 0s
Cutting planes:
Gomory: 4
Cover: 1
Implied bound: 3
Clique: 1
Flow cover: 15
Inf proof: 1
Explored 102 nodes (894 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.35152 1.33002 1.29249 1.2159
Optimal solution found (tolerance 1.00e-02)
Best objective 1.351519641079e+00, best bound 1.351519641079e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpclnm1_su.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3j3yrg1z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22447
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.575267e+00, 203 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57527 0 24 1.22447 1.57527 28.6% - 0s
0 0 1.48833 0 13 1.22447 1.48833 21.5% - 0s
0 0 1.48706 0 12 1.22447 1.48706 21.4% - 0s
0 0 1.48706 0 11 1.22447 1.48706 21.4% - 0s
0 2 1.48706 0 11 1.22447 1.48706 21.4% - 0s
H 30 17 1.2244682 1.44990 18.4% 7.2 0s
Cutting planes:
Gomory: 8
Implied bound: 3
Clique: 1
Flow cover: 13
Explored 94 nodes (828 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.22447 1.22447
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.9632e-06) exceeds tolerance
Best objective 1.224468205333e+00, best bound 1.224468205333e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpusw5e7a_.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdfh54tw9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1113
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.577377e+00, 224 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57738 0 29 1.11130 1.57738 41.9% - 0s
0 0 1.49285 0 24 1.11130 1.49285 34.3% - 0s
0 0 1.48297 0 26 1.11130 1.48297 33.4% - 0s
0 0 1.48294 0 26 1.11130 1.48294 33.4% - 0s
0 0 1.48156 0 26 1.11130 1.48156 33.3% - 0s
0 0 1.48119 0 28 1.11130 1.48119 33.3% - 0s
0 0 1.48115 0 28 1.11130 1.48115 33.3% - 0s
0 0 1.48049 0 27 1.11130 1.48049 33.2% - 0s
0 0 1.48049 0 28 1.11130 1.48049 33.2% - 0s
0 0 1.48049 0 23 1.11130 1.48049 33.2% - 0s
0 2 1.48049 0 23 1.11130 1.48049 33.2% - 0s
* 226 65 22 1.1893555 1.32811 11.7% 7.1 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 7
Clique: 1
MIR: 6
Flow cover: 24
Inf proof: 3
Explored 342 nodes (2771 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.18936 1.1113
Optimal solution found (tolerance 1.00e-02)
Best objective 1.189355508157e+00, best bound 1.189355508157e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprpz7hel9.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9ncw40c3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03526
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.595448e+00, 263 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59545 0 38 1.03526 1.59545 54.1% - 0s
0 0 1.50610 0 33 1.03526 1.50610 45.5% - 0s
0 0 1.50575 0 35 1.03526 1.50575 45.4% - 0s
0 0 1.49754 0 35 1.03526 1.49754 44.7% - 0s
0 0 1.49686 0 34 1.03526 1.49686 44.6% - 0s
0 0 1.49659 0 37 1.03526 1.49659 44.6% - 0s
0 0 1.49650 0 37 1.03526 1.49650 44.6% - 0s
0 0 1.49556 0 37 1.03526 1.49556 44.5% - 0s
0 0 1.49548 0 36 1.03526 1.49548 44.5% - 0s
0 0 1.49543 0 36 1.03526 1.49543 44.4% - 0s
0 0 1.49468 0 36 1.03526 1.49468 44.4% - 0s
0 0 1.49468 0 38 1.03526 1.49468 44.4% - 0s
0 0 1.49468 0 27 1.03526 1.49468 44.4% - 0s
0 2 1.49468 0 26 1.03526 1.49468 44.4% - 0s
* 198 97 34 1.1073763 1.36470 23.2% 6.5 0s
* 222 120 32 1.1134559 1.36362 22.5% 6.3 0s
* 228 120 33 1.1195354 1.36362 21.8% 6.3 0s
* 704 125 31 1.1303077 1.28799 14.0% 8.3 0s
* 863 115 32 1.1586763 1.28378 10.8% 8.1 0s
* 1020 120 31 1.1613517 1.27680 9.94% 8.1 0s
Cutting planes:
Gomory: 15
Cover: 14
Implied bound: 19
Clique: 1
MIR: 8
Flow cover: 20
Inf proof: 36
Explored 1303 nodes (11554 simplex iterations) in 0.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.16135 1.15868 1.13031 ... 1.03526
Optimal solution found (tolerance 1.00e-02)
Best objective 1.161351701886e+00, best bound 1.161351701886e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphf4jruib.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8paoz1d_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04191
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.599347e+00, 288 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59935 0 35 1.04191 1.59935 53.5% - 0s
0 0 1.51417 0 29 1.04191 1.51417 45.3% - 0s
0 0 1.51417 0 29 1.04191 1.51417 45.3% - 0s
0 0 1.50755 0 31 1.04191 1.50755 44.7% - 0s
0 0 1.50701 0 31 1.04191 1.50701 44.6% - 0s
0 0 1.50698 0 31 1.04191 1.50698 44.6% - 0s
0 0 1.50696 0 31 1.04191 1.50696 44.6% - 0s
0 0 1.50696 0 31 1.04191 1.50696 44.6% - 0s
0 0 1.50696 0 31 1.04191 1.50696 44.6% - 0s
0 2 1.50696 0 28 1.04191 1.50696 44.6% - 0s
* 1186 327 34 1.0440150 1.34662 29.0% 6.6 0s
* 2005 340 37 1.0763447 1.28831 19.7% 7.5 0s
* 2138 223 35 1.1314802 1.24781 10.3% 7.9 0s
* 2206 163 33 1.1328616 1.22730 8.34% 8.0 0s
Cutting planes:
Gomory: 10
Cover: 34
Implied bound: 43
Clique: 1
MIR: 4
Flow cover: 26
Inf proof: 55
Explored 2482 nodes (20157 simplex iterations) in 1.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.13286 1.13148 1.07634 ... 1.04191
Optimal solution found (tolerance 1.00e-02)
Best objective 1.132861628543e+00, best bound 1.134334708620e+00, gap 0.1300%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp298x2br2.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbfps6i91.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02097
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.585283e+00, 320 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58528 0 39 1.02097 1.58528 55.3% - 0s
0 0 1.50086 0 34 1.02097 1.50086 47.0% - 0s
0 0 1.50082 0 34 1.02097 1.50082 47.0% - 0s
0 0 1.49116 0 37 1.02097 1.49116 46.1% - 0s
0 0 1.49092 0 37 1.02097 1.49092 46.0% - 0s
0 0 1.49092 0 37 1.02097 1.49092 46.0% - 0s
0 0 1.49092 0 35 1.02097 1.49092 46.0% - 0s
0 2 1.49092 0 35 1.02097 1.49092 46.0% - 0s
* 1010 244 36 1.1209176 1.25098 11.6% 6.9 0s
* 1363 121 30 1.1212812 1.18432 5.62% 7.8 0s
Cutting planes:
Gomory: 11
Cover: 9
Implied bound: 37
Clique: 1
MIR: 3
Flow cover: 25
Inf proof: 28
Explored 1581 nodes (12814 simplex iterations) in 0.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.12128 1.12092 1.02097
Optimal solution found (tolerance 1.00e-02)
Best objective 1.121281172461e+00, best bound 1.122165907159e+00, gap 0.0789%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb8lygv82.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjlr_dhby.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01094
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.596969e+00, 311 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59697 0 43 1.01094 1.59697 58.0% - 0s
0 0 1.50753 0 34 1.01094 1.50753 49.1% - 0s
0 0 1.50062 0 36 1.01094 1.50062 48.4% - 0s
0 0 1.50045 0 37 1.01094 1.50045 48.4% - 0s
0 0 1.49950 0 38 1.01094 1.49950 48.3% - 0s
0 0 1.49946 0 38 1.01094 1.49946 48.3% - 0s
0 0 1.49945 0 38 1.01094 1.49945 48.3% - 0s
0 0 1.49945 0 32 1.01094 1.49945 48.3% - 0s
0 2 1.49945 0 32 1.01094 1.49945 48.3% - 0s
H 1453 468 1.0781805 1.26066 16.9% 8.9 0s
* 2485 108 49 1.1102669 1.12888 1.68% 7.9 1s
Explored 2548 nodes (20512 simplex iterations) in 1.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.11027 1.07818 1.01094
Optimal solution found (tolerance 1.00e-02)
Best objective 1.110266855073e+00, best bound 1.110266855073e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6os0jwg3.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfiynodni.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00499
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.598829e+00, 363 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59883 0 46 1.00499 1.59883 59.1% - 0s
0 0 1.50850 0 38 1.00499 1.50850 50.1% - 0s
0 0 1.50273 0 44 1.00499 1.50273 49.5% - 0s
0 0 1.50273 0 44 1.00499 1.50273 49.5% - 0s
0 0 1.50142 0 43 1.00499 1.50142 49.4% - 0s
0 0 1.50130 0 40 1.00499 1.50130 49.4% - 0s
0 0 1.50128 0 41 1.00499 1.50128 49.4% - 0s
0 0 1.50128 0 41 1.00499 1.50128 49.4% - 0s
0 0 1.50128 0 36 1.00499 1.50128 49.4% - 0s
0 2 1.50128 0 35 1.00499 1.50128 49.4% - 0s
* 478 248 75 1.0120385 1.35255 33.6% 7.9 0s
* 2171 456 60 1.0945339 1.20706 10.3% 7.7 1s
* 2579 172 59 1.0975160 1.12604 2.60% 7.6 1s
* 2591 141 58 1.1048411 1.10484 0.00% 7.6 1s
Explored 2598 nodes (20369 simplex iterations) in 1.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.10484 1.09752 1.09453 ... 1.00499
Optimal solution found (tolerance 1.00e-02)
Best objective 1.104841134285e+00, best bound 1.104841134285e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplvvb2b9h.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphqs_m6e2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00663
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.567972e+00, 357 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56797 0 51 1.00663 1.56797 55.8% - 0s
0 0 1.47170 0 39 1.00663 1.47170 46.2% - 0s
0 0 1.46760 0 44 1.00663 1.46760 45.8% - 0s
0 0 1.46737 0 41 1.00663 1.46737 45.8% - 0s
0 0 1.46709 0 43 1.00663 1.46709 45.7% - 0s
0 0 1.46704 0 44 1.00663 1.46704 45.7% - 0s
0 0 1.46704 0 43 1.00663 1.46704 45.7% - 0s
0 2 1.46704 0 43 1.00663 1.46704 45.7% - 0s
* 2304 138 71 1.0430060 1.09781 5.25% 7.5 1s
* 2426 7 66 1.0713598 1.08673 1.43% 7.4 1s
Explored 2558 nodes (19299 simplex iterations) in 1.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07136 1.04301 1.00663
Optimal solution found (tolerance 1.00e-02)
Best objective 1.071359818249e+00, best bound 1.071359818249e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp63j40zh9.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8dkovr4c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.986897
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.540702e+00, 387 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54070 0 54 0.98690 1.54070 56.1% - 0s
0 0 1.43108 0 44 0.98690 1.43108 45.0% - 0s
0 0 1.42721 0 48 0.98690 1.42721 44.6% - 0s
0 0 1.42702 0 45 0.98690 1.42702 44.6% - 0s
0 0 1.42690 0 48 0.98690 1.42690 44.6% - 0s
0 0 1.42632 0 49 0.98690 1.42632 44.5% - 0s
0 0 1.42597 0 50 0.98690 1.42597 44.5% - 0s
0 0 1.42526 0 49 0.98690 1.42526 44.4% - 0s
0 0 1.42494 0 49 0.98690 1.42494 44.4% - 0s
0 0 1.42336 0 50 0.98690 1.42336 44.2% - 0s
0 0 1.42167 0 50 0.98690 1.42167 44.1% - 0s
0 0 1.42164 0 49 0.98690 1.42164 44.1% - 0s
0 0 1.42164 0 45 0.98690 1.42164 44.1% - 0s
0 2 1.42164 0 45 0.98690 1.42164 44.1% - 0s
* 1884 647 78 1.0329173 1.14994 11.3% 8.6 1s
Explored 2970 nodes (25935 simplex iterations) in 2.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.03292 0.986897
Optimal solution found (tolerance 1.00e-02)
Best objective 1.032917286969e+00, best bound 1.041920206437e+00, gap 0.8716%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjlh8erbf.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpim7xb8pd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.957369
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.509284e+00, 429 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50928 0 58 0.95737 1.50928 57.6% - 0s
0 0 1.39255 0 51 0.95737 1.39255 45.5% - 0s
0 0 1.38688 0 61 0.95737 1.38688 44.9% - 0s
0 0 1.38662 0 56 0.95737 1.38662 44.8% - 0s
0 0 1.38565 0 56 0.95737 1.38565 44.7% - 0s
0 0 1.38488 0 58 0.95737 1.38488 44.7% - 0s
0 0 1.38459 0 56 0.95737 1.38459 44.6% - 0s
0 0 1.38459 0 56 0.95737 1.38459 44.6% - 0s
0 0 1.38368 0 62 0.95737 1.38368 44.5% - 0s
0 0 1.38337 0 61 0.95737 1.38337 44.5% - 0s
0 0 1.38332 0 65 0.95737 1.38332 44.5% - 0s
0 0 1.38332 0 47 0.95737 1.38332 44.5% - 0s
0 2 1.38332 0 47 0.95737 1.38332 44.5% - 0s
* 1181 500 81 0.9622197 1.17323 21.9% 11.9 1s
* 1940 285 71 0.9964199 1.09416 9.81% 14.5 2s
Cutting planes:
Gomory: 51
Cover: 3
Implied bound: 8
Projected implied bound: 18
Clique: 1
MIR: 14
Flow cover: 27
Inf proof: 29
Explored 3362 nodes (46691 simplex iterations) in 3.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.99642 0.96222 0.957369
Optimal solution found (tolerance 1.00e-02)
Best objective 9.964198792998e-01, best bound 9.964198792998e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnleervsf.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk8ktqk6b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923426
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.478256e+00, 461 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47826 0 63 0.92343 1.47826 60.1% - 0s
0 0 1.34887 0 51 0.92343 1.34887 46.1% - 0s
0 0 1.33983 0 56 0.92343 1.33983 45.1% - 0s
0 0 1.33954 0 56 0.92343 1.33954 45.1% - 0s
0 0 1.33613 0 61 0.92343 1.33613 44.7% - 0s
0 0 1.33609 0 63 0.92343 1.33609 44.7% - 0s
0 0 1.33562 0 65 0.92343 1.33562 44.6% - 0s
0 0 1.33562 0 57 0.92343 1.33562 44.6% - 0s
0 2 1.33562 0 57 0.92343 1.33562 44.6% - 0s
H 2387 616 0.9439273 1.07788 14.2% 15.1 3s
H 2763 611 0.9569679 1.07355 12.2% 15.7 3s
3497 606 1.04998 26 51 0.95697 1.05046 9.77% 17.7 5s
* 4419 401 71 0.9653234 1.02243 5.92% 18.9 6s
Cutting planes:
Gomory: 53
Cover: 2
Implied bound: 5
Projected implied bound: 26
Clique: 1
MIR: 13
Flow cover: 49
Inf proof: 43
Explored 4912 nodes (93010 simplex iterations) in 6.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.965323 0.956968 0.943927 0.923426
Optimal solution found (tolerance 1.00e-02)
Best objective 9.653234494009e-01, best bound 9.739833836229e-01, gap 0.8971%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd8yhbkkd.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnfuby1al.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95971
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.455420e+00, 491 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45542 0 67 0.95971 1.45542 51.7% - 0s
0 0 1.34167 0 56 0.95971 1.34167 39.8% - 0s
0 0 1.30321 0 71 0.95971 1.30321 35.8% - 0s
0 0 1.29634 0 71 0.95971 1.29634 35.1% - 0s
0 0 1.29510 0 72 0.95971 1.29510 34.9% - 0s
0 0 1.29488 0 72 0.95971 1.29488 34.9% - 0s
0 0 1.29488 0 72 0.95971 1.29488 34.9% - 0s
0 0 1.28757 0 77 0.95971 1.28757 34.2% - 0s
0 0 1.28254 0 75 0.95971 1.28254 33.6% - 0s
0 0 1.28250 0 76 0.95971 1.28250 33.6% - 0s
0 0 1.28192 0 76 0.95971 1.28192 33.6% - 0s
0 0 1.28168 0 77 0.95971 1.28168 33.5% - 0s
0 0 1.28168 0 77 0.95971 1.28168 33.5% - 0s
0 0 1.28168 0 62 0.95971 1.28168 33.5% - 0s
0 2 1.28168 0 62 0.95971 1.28168 33.5% - 0s
* 3978 220 80 0.9632525 0.98861 2.63% 16.6 4s
4046 170 cutoff 39 0.96325 0.98392 2.15% 16.5 5s
* 4364 104 76 0.9642508 0.97466 1.08% 16.0 5s
Cutting planes:
Gomory: 64
Cover: 1
Implied bound: 7
Projected implied bound: 32
Clique: 1
MIR: 9
Flow cover: 44
Inf proof: 31
Explored 4502 nodes (72104 simplex iterations) in 5.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.964251 0.963253 0.95971
Optimal solution found (tolerance 1.00e-02)
Best objective 9.642508068293e-01, best bound 9.683446721916e-01, gap 0.4246%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8uvhgpe8.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwwtn0bp4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960311
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.457248e+00, 518 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45725 0 70 0.96031 1.45725 51.7% - 0s
0 0 1.33151 0 58 0.96031 1.33151 38.7% - 0s
0 0 1.29723 0 70 0.96031 1.29723 35.1% - 0s
0 0 1.29376 0 65 0.96031 1.29376 34.7% - 0s
0 0 1.29290 0 70 0.96031 1.29290 34.6% - 0s
0 0 1.29270 0 70 0.96031 1.29270 34.6% - 0s
0 0 1.29091 0 72 0.96031 1.29091 34.4% - 0s
0 0 1.29089 0 74 0.96031 1.29089 34.4% - 0s
0 0 1.29011 0 74 0.96031 1.29011 34.3% - 0s
0 0 1.29011 0 66 0.96031 1.29011 34.3% - 0s
0 2 1.29011 0 66 0.96031 1.29011 34.3% - 0s
H 2314 308 0.9619385 1.04785 8.93% 18.8 3s
3506 336 0.99733 30 52 0.96194 1.01994 6.03% 18.3 5s
* 4200 122 79 0.9665847 0.99181 2.61% 18.1 5s
* 4533 52 78 0.9673240 0.97669 0.97% 17.4 5s
Cutting planes:
Gomory: 69
Cover: 1
Implied bound: 13
Projected implied bound: 32
Clique: 1
MIR: 11
Flow cover: 41
Inf proof: 39
Explored 4535 nodes (80012 simplex iterations) in 5.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.967324 0.966585 0.961938 0.960311
Optimal solution found (tolerance 1.00e-02)
Best objective 9.673239860682e-01, best bound 9.766941902982e-01, gap 0.9687%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgswxxbv2.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp67daf0ku.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929916
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.399664e+00, 517 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39966 0 71 0.92992 1.39966 50.5% - 0s
0 0 1.27803 0 62 0.92992 1.27803 37.4% - 0s
0 0 1.24693 0 63 0.92992 1.24693 34.1% - 0s
0 0 1.24331 0 61 0.92992 1.24331 33.7% - 0s
0 0 1.24235 0 71 0.92992 1.24235 33.6% - 0s
0 0 1.24229 0 70 0.92992 1.24229 33.6% - 0s
0 0 1.24043 0 72 0.92992 1.24043 33.4% - 0s
0 0 1.24042 0 72 0.92992 1.24042 33.4% - 0s
0 0 1.23861 0 75 0.92992 1.23861 33.2% - 0s
0 0 1.23856 0 75 0.92992 1.23856 33.2% - 0s
0 0 1.23711 0 79 0.92992 1.23711 33.0% - 0s
0 0 1.23683 0 81 0.92992 1.23683 33.0% - 0s
0 0 1.23646 0 81 0.92992 1.23646 33.0% - 0s
0 0 1.23622 0 84 0.92992 1.23622 32.9% - 0s
0 0 1.23622 0 74 0.92992 1.23622 32.9% - 0s
0 2 1.23622 0 71 0.92992 1.23622 32.9% - 0s
* 2640 92 83 0.9311784 0.94104 1.06% 14.7 3s
Cutting planes:
Gomory: 58
Cover: 4
Implied bound: 5
Projected implied bound: 34
MIR: 10
Flow cover: 43
Inf proof: 5
Explored 2672 nodes (40323 simplex iterations) in 3.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.931178 0.929916
Optimal solution found (tolerance 1.00e-02)
Best objective 9.311783884164e-01, best bound 9.393254545882e-01, gap 0.8749%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2ridd8a2.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpph0gehgw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934389
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.400388e+00, 589 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40039 0 72 0.93439 1.40039 49.9% - 0s
0 0 1.27857 0 69 0.93439 1.27857 36.8% - 0s
0 0 1.27857 0 69 0.93439 1.27857 36.8% - 0s
0 0 1.27023 0 88 0.93439 1.27023 35.9% - 0s
0 0 1.26948 0 82 0.93439 1.26948 35.9% - 0s
0 0 1.26919 0 88 0.93439 1.26919 35.8% - 0s
0 0 1.26765 0 88 0.93439 1.26765 35.7% - 0s
0 0 1.26674 0 86 0.93439 1.26674 35.6% - 0s
0 0 1.26673 0 88 0.93439 1.26673 35.6% - 0s
0 0 1.26602 0 90 0.93439 1.26602 35.5% - 0s
0 0 1.26601 0 90 0.93439 1.26601 35.5% - 0s
0 0 1.26557 0 87 0.93439 1.26557 35.4% - 0s
0 0 1.26557 0 75 0.93439 1.26557 35.4% - 0s
0 2 1.26557 0 72 0.93439 1.26557 35.4% - 0s
3214 452 infeasible 39 0.93439 1.00067 7.09% 18.7 5s
H 3285 467 0.9343887 1.00046 7.07% 18.8 5s
H 3707 462 0.9343887 0.99093 6.05% 19.3 6s
* 5381 332 92 0.9375054 0.96060 2.46% 18.1 7s
* 6601 209 87 0.9382300 0.94522 0.75% 16.3 8s
Cutting planes:
Gomory: 61
Cover: 2
Implied bound: 9
Projected implied bound: 39
Clique: 1
MIR: 14
Flow cover: 55
Inf proof: 46
Explored 6608 nodes (109051 simplex iterations) in 8.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.93823 0.937505 0.934389 ... 0.934389
Optimal solution found (tolerance 1.00e-02)
Best objective 9.382299960798e-01, best bound 9.452205054459e-01, gap 0.7451%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph2dox_eo.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvjy10ag0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.922915
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.388727e+00, 596 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38873 0 74 0.92292 1.38873 50.5% - 0s
0 0 1.26731 0 68 0.92292 1.26731 37.3% - 0s
0 0 1.24596 0 83 0.92292 1.24596 35.0% - 0s
0 0 1.24556 0 83 0.92292 1.24556 35.0% - 0s
0 0 1.24556 0 83 0.92292 1.24556 35.0% - 0s
0 0 1.24437 0 91 0.92292 1.24437 34.8% - 0s
0 0 1.24436 0 91 0.92292 1.24436 34.8% - 0s
0 0 1.24361 0 91 0.92292 1.24361 34.7% - 0s
0 0 1.24361 0 64 0.92292 1.24361 34.7% - 0s
0 2 1.24361 0 64 0.92292 1.24361 34.7% - 0s
2810 569 0.96290 39 57 0.92292 1.00293 8.67% 17.3 5s
* 4331 724 94 0.9314241 0.98335 5.57% 17.6 6s
H 5082 667 0.9318375 0.96886 3.97% 17.8 7s
7613 332 0.93596 64 27 0.93184 0.94574 1.49% 15.8 10s
Cutting planes:
Gomory: 61
Cover: 3
Implied bound: 20
Projected implied bound: 34
Clique: 1
MIR: 21
Flow cover: 63
Inf proof: 44
Explored 8028 nodes (125614 simplex iterations) in 10.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.931838 0.931424 0.922915
Optimal solution found (tolerance 1.00e-02)
Best objective 9.318375192629e-01, best bound 9.405441457798e-01, gap 0.9344%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplmbggb3x.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps0ss2c6w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.903325
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.386039e+00, 578 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38604 0 74 0.90333 1.38604 53.4% - 0s
0 0 1.25207 0 80 0.90333 1.25207 38.6% - 0s
0 0 1.25207 0 80 0.90333 1.25207 38.6% - 0s
0 0 1.24648 0 85 0.90333 1.24648 38.0% - 0s
0 0 1.24542 0 85 0.90333 1.24542 37.9% - 0s
0 0 1.24542 0 87 0.90333 1.24542 37.9% - 0s
0 0 1.24503 0 85 0.90333 1.24503 37.8% - 0s
0 0 1.24482 0 86 0.90333 1.24482 37.8% - 0s
0 0 1.24480 0 86 0.90333 1.24480 37.8% - 0s
0 0 1.24264 0 81 0.90333 1.24264 37.6% - 0s
0 0 1.24255 0 81 0.90333 1.24255 37.6% - 0s
0 0 1.24197 0 78 0.90333 1.24197 37.5% - 0s
0 0 1.24197 0 58 0.90333 1.24197 37.5% - 0s
0 2 1.24197 0 53 0.90333 1.24197 37.5% - 0s
H 2256 522 0.9039056 1.04577 15.7% 21.9 4s
2463 543 0.99637 30 55 0.90391 1.03663 14.7% 21.8 5s
H 2633 593 0.9051295 1.02719 13.5% 21.7 5s
5512 913 0.95785 33 63 0.90513 0.98362 8.67% 23.5 10s
9254 735 cutoff 65 0.90513 0.94329 4.22% 23.2 15s
*13584 1193 101 0.9053109 0.92590 2.27% 19.3 18s
*14945 1048 104 0.9083862 0.92305 1.61% 18.5 19s
15514 987 cutoff 86 0.90839 0.92024 1.30% 18.2 20s
*15554 918 98 0.9095358 0.92024 1.18% 18.2 20s
Cutting planes:
Gomory: 82
Cover: 5
Implied bound: 21
Projected implied bound: 43
Clique: 1
MIR: 17
Flow cover: 67
Inf proof: 119
Explored 16185 nodes (291086 simplex iterations) in 20.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.909536 0.908386 0.905311 ... 0.903325
Optimal solution found (tolerance 1.00e-02)
Best objective 9.095358191741e-01, best bound 9.184765433806e-01, gap 0.9830%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkubv5z7y.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqtp9a2k2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884049
Presolve removed 452 rows and 294 columns
Presolve time: 0.03s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.364321e+00, 608 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36432 0 74 0.88405 1.36432 54.3% - 0s
0 0 1.24048 0 70 0.88405 1.24048 40.3% - 0s
0 0 1.21210 0 81 0.88405 1.21210 37.1% - 0s
0 0 1.21163 0 80 0.88405 1.21163 37.1% - 0s
0 0 1.20980 0 82 0.88405 1.20980 36.8% - 0s
0 0 1.20969 0 84 0.88405 1.20969 36.8% - 0s
0 0 1.20969 0 84 0.88405 1.20969 36.8% - 0s
0 0 1.20969 0 71 0.88405 1.20969 36.8% - 0s
0 2 1.20969 0 70 0.88405 1.20969 36.8% - 0s
2051 376 infeasible 22 0.88405 1.01360 14.7% 19.4 5s
H 5193 841 0.8847763 0.94876 7.23% 19.1 9s
5774 899 cutoff 73 0.88478 0.93955 6.19% 19.0 10s
* 8714 1187 101 0.8862214 0.91628 3.39% 17.3 13s
H 9138 1288 0.8872616 0.91542 3.17% 16.9 13s
* 9879 1293 94 0.8887862 0.91412 2.85% 16.3 13s
* 9887 1240 93 0.8895280 0.91412 2.76% 16.3 13s
* 9955 940 119 0.8934961 0.91412 2.31% 16.3 13s
*10364 905 98 0.8944684 0.91160 1.92% 16.0 14s
*10494 841 121 0.8952344 0.91051 1.71% 15.9 14s
10631 807 0.90867 94 38 0.89523 0.90867 1.50% 15.8 15s
Cutting planes:
Gomory: 69
Cover: 4
Implied bound: 16
Projected implied bound: 40
Clique: 1
MIR: 18
Flow cover: 47
Inf proof: 78
Explored 11646 nodes (179574 simplex iterations) in 15.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 0.895234 0.894468 0.893496 ... 0.884049
Optimal solution found (tolerance 1.00e-02)
Best objective 8.952344248935e-01, best bound 9.029233518902e-01, gap 0.8589%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg0t05sqp.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmped1y4ch0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887429
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.355747e+00, 624 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35575 0 74 0.88743 1.35575 52.8% - 0s
0 0 1.21881 0 82 0.88743 1.21881 37.3% - 0s
0 0 1.21881 0 82 0.88743 1.21881 37.3% - 0s
0 0 1.19988 0 92 0.88743 1.19988 35.2% - 0s
0 0 1.19956 0 85 0.88743 1.19956 35.2% - 0s
0 0 1.19954 0 88 0.88743 1.19954 35.2% - 0s
0 0 1.19898 0 84 0.88743 1.19898 35.1% - 0s
0 0 1.19898 0 67 0.88743 1.19898 35.1% - 0s
0 2 1.19898 0 67 0.88743 1.19898 35.1% - 0s
* 1239 479 141 0.8894166 1.07316 20.7% 20.6 3s
2189 644 1.00110 21 66 0.88942 1.04105 17.0% 24.1 5s
4468 1135 0.97700 26 76 0.88942 0.99405 11.8% 29.0 10s
7379 1398 0.91996 33 70 0.88942 0.97455 9.57% 32.0 15s
H 9459 1488 0.8894166 0.95547 7.43% 33.2 19s
9471 1425 infeasible 36 0.88942 0.95377 7.24% 33.2 20s
13893 1806 infeasible 62 0.88942 0.92582 4.09% 29.6 25s
18576 1899 0.89313 75 62 0.88942 0.91087 2.41% 25.5 30s
*21160 1733 127 0.8897899 0.90635 1.86% 24.1 32s
*21693 1623 122 0.8914258 0.90574 1.61% 23.8 32s
*21760 1317 124 0.8944040 0.90574 1.27% 23.8 32s
Cutting planes:
Gomory: 78
Cover: 2
Implied bound: 57
Projected implied bound: 42
Clique: 1
MIR: 21
Flow cover: 62
Inf proof: 142
Explored 22538 nodes (528484 simplex iterations) in 33.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.894404 0.891426 0.88979 ... 0.887429
Optimal solution found (tolerance 1.00e-02)
Best objective 8.944040421395e-01, best bound 9.032632712427e-01, gap 0.9905%
Run 3
Seed for training 86
Seed for simulation 691
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.4583500576152691
fun: -0.4584650946049663
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([195.67836941, 1.00813062, 1.02060447])
xopt: array([195., 1., 2.])
zopt: array([195., 196., 198.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7jldqstu.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpanuryaqf.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.45835
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.198629e+00, 726 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19863 0 66 0.45835 1.19863 162% - 0s
0 0 1.04045 0 77 0.45835 1.04045 127% - 0s
0 0 1.04045 0 77 0.45835 1.04045 127% - 0s
0 0 1.03263 0 98 0.45835 1.03263 125% - 0s
0 0 1.03259 0 98 0.45835 1.03259 125% - 0s
0 0 1.03212 0 95 0.45835 1.03212 125% - 0s
0 0 1.03212 0 80 0.45835 1.03212 125% - 0s
0 2 1.03212 0 80 0.45835 1.03212 125% - 0s
* 297 207 76 0.4768195 0.97945 105% 13.7 0s
* 1254 634 81 0.4945707 0.95804 93.7% 17.3 3s
3437 1544 0.76549 35 75 0.49457 0.94275 90.6% 15.6 5s
* 5411 2338 70 0.5582371 0.93290 67.1% 15.4 6s
* 5413 2278 69 0.5724630 0.93290 63.0% 15.4 6s
* 8876 3516 86 0.6403671 0.92303 44.1% 15.4 9s
9148 3582 0.65579 49 56 0.64037 0.92256 44.1% 15.5 10s
* 9688 3713 86 0.6415043 0.91997 43.4% 15.7 10s
*11701 4017 89 0.6804806 0.91298 34.2% 15.8 12s
*13953 4583 94 0.6969969 0.90729 30.2% 16.0 14s
14297 4820 0.88473 46 54 0.69700 0.90666 30.1% 16.0 16s
H14303 2903 0.8013048 0.90666 13.1% 16.0 16s
H14318 2346 0.8257518 0.90666 9.80% 16.0 16s
*14710 1964 105 0.8394893 0.90546 7.86% 15.9 16s
*15127 1575 105 0.8534433 0.90457 5.99% 15.9 17s
*16772 1765 95 0.8561667 0.89878 4.98% 15.6 18s
18288 1972 0.88481 43 66 0.85617 0.89467 4.50% 15.4 20s
*19081 1933 96 0.8573039 0.89249 4.10% 15.4 21s
23334 1574 cutoff 57 0.85730 0.87938 2.57% 15.3 25s
Cutting planes:
Gomory: 67
Implied bound: 41
Projected implied bound: 19
MIR: 3
Flow cover: 43
Inf proof: 209
Explored 28394 nodes (423079 simplex iterations) in 29.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.857304 0.856167 0.853443 ... 0.640367
Optimal solution found (tolerance 0.00e+00)
Best objective 8.573039474036e-01, best bound 8.573039474036e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp29w0nzek.pyomo.lp
Reading time = 0.01 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpysonv_0y.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 468 rows and 334 columns
Presolve time: 0.00s
Presolved: 163 rows, 207 columns, 820 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.5957100e+01 3.672500e+02 0.000000e+00 0s
95 1.6880383e+01 0.000000e+00 0.000000e+00 0s
Solved in 95 iterations and 0.01 seconds
Optimal objective 1.688038311e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.10929518, 0.02399477, 0.02399477]])
fopt: 0.1163261303669024
fun: -0.11719857315786053
message: 'Optimization terminated successfully.'
nfev: 239
nit: 3
status: 0
success: True
x: array([10. , -0.99999635, -0.99999635])
xopt: array([10., 0., 0.])
zopt: array([10., 10., 10.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.86848744e-14, -7.75856725e-03, -7.75856725e-03]])
fopt: -0.08907841112949481
fun: 0.08253506629656158
message: 'Optimization terminated successfully.'
nfev: 216
nit: 2
status: 0
success: True
x: array([ 1., -1., -1.])
xopt: array([0., 0., 0.])
zopt: array([0., 0., 0.])
*******************************************
Period: 3
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.1151090408424716
fun: 0.11074683081293664
message: 'Optimization terminated successfully.'
nfev: 187
nit: 2
status: 0
success: True
x: array([ 1. , -0.99993171, -0.99993171])
xopt: array([0., 0., 0.])
zopt: array([0., 0., 0.])
*******************************************
Period: 4
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.13277947136228918
fun: 0.12972591411794954
message: 'Optimization terminated successfully.'
nfev: 408
nit: 3
status: 0
success: True
x: array([1.9999988, 1. , 1. ])
xopt: array([1., 1., 1.])
zopt: array([1., 2., 3.])
*******************************************
Period: 5
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.10050803225528027
fun: 0.09806518645980856
message: 'Optimization terminated successfully.'
nfev: 412
nit: 3
status: 0
success: True
x: array([1.9999988, 1. , 1. ])
xopt: array([1., 1., 1.])
zopt: array([1., 2., 3.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.0850053586238678
fun: 0.08296965379430804
message: 'Optimization terminated successfully.'
nfev: 412
nit: 3
status: 0
success: True
x: array([1.9999988, 1. , 1. ])
xopt: array([1., 1., 1.])
zopt: array([1., 2., 3.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.09396228589863823
fun: 0.09111874651422336
message: 'Optimization terminated successfully.'
nfev: 313
nit: 3
status: 0
success: True
x: array([ 1.9999988 , 1. , -0.99999976])
xopt: array([1., 1., 0.])
zopt: array([1., 2., 2.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.09525805878826901
fun: 0.09276996182690601
message: 'Optimization terminated successfully.'
nfev: 301
nit: 3
status: 0
success: True
x: array([ 1.9999988 , 1. , -0.99999976])
xopt: array([1., 1., 0.])
zopt: array([1., 2., 2.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1468
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[-5.24367417e-01, -3.53917819e+01, 2.04553344e-01],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.95978962e+00, -2.48203331e-04, -1.18289196e-04]])
fopt: 1.3288167987637154
fun: -1.3342884403994493
message: 'Optimization terminated successfully.'
nfev: 761
nit: 9
status: 0
success: True
x: array([82.90421972, 95.17234027, -0.99726254])
xopt: array([83., 95., 0.])
zopt: array([ 83., 178., 178.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.09208476130586106
fun: 0.09097437685337391
message: 'Optimization terminated successfully.'
nfev: 415
nit: 3
status: 0
success: True
x: array([1.9999988, 1. , 1. ])
xopt: array([1., 1., 1.])
zopt: array([1., 2., 3.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -0.09777544961068874
fun: 0.09675759719590885
message: 'Optimization terminated successfully.'
nfev: 412
nit: 3
status: 0
success: True
x: array([1.9999988, 1. , 1. ])
xopt: array([1., 1., 1.])
zopt: array([1., 2., 3.])
*******************************************
Period: 13
direc: array([[1. , 0. , 0. ],
[0. , 0. , 1. ],
[7.08150741, 7.16388566, 0. ]])
fopt: 1.1001427434891047
fun: -1.096765883145998
message: 'Optimization terminated successfully.'
nfev: 387
nit: 5
status: 0
success: True
x: array([118.96219071, 120.0546779 , 3.2567954 ])
xopt: array([118., 120., 4.])
zopt: array([118., 238., 242.])
*******************************************
Period: 14
direc: array([[ 1. , 0. , 0. ],
[ 2.02362035, 2.04716086, 0. ],
[ -0.66923867, 2.01073033, -13.92606101]])
fopt: 1.3015291738336632
fun: -1.3042301350651628
message: 'Optimization terminated successfully.'
nfev: 567
nit: 8
status: 0
success: True
x: array([ 88.85583524, 110.00178663, 66.18104907])
xopt: array([ 89., 110., 66.])
zopt: array([ 89., 199., 265.])
*******************************************
Period: 15
direc: array([[ 1. , 0. , 0. ],
[ 2.01771501, 2.04118683, 0. ],
[ 0.9886175 , 6.99926533, 16.33581868]])
fopt: 1.1994638088023621
fun: -1.1978326785675872
message: 'Optimization terminated successfully.'
nfev: 658
nit: 9
status: 0
success: True
x: array([ 76.9769845 , 128.0041273 , 63.39667068])
xopt: array([ 77., 128., 64.])
zopt: array([ 77., 205., 269.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[ 2.02947421, 2.05308282, 0. ],
[-28.0147205 , -0.09891774, 90.68793253]])
fopt: 1.2212417408724447
fun: -1.2209569120387838
message: 'Optimization terminated successfully.'
nfev: 533
nit: 7
status: 0
success: True
x: array([ 88.99997345, 125.00000001, 95.00000074])
xopt: array([ 89., 126., 95.])
zopt: array([ 89., 215., 310.])
*******************************************
Period: 17
direc: array([[ 2.01817726, 2.04165446, 0. ],
[ 0. , 0. , 1. ],
[-36.18426302, -0.48931794, 7.4399002 ]])
fopt: 1.0773639998150497
fun: -1.0790643916139802
message: 'Optimization terminated successfully.'
nfev: 630
nit: 8
status: 0
success: True
x: array([ 89.00025771, 151.00966593, 73.01071884])
xopt: array([ 89., 151., 73.])
zopt: array([ 89., 240., 313.])
*******************************************
Period: 18
direc: array([[ 2.03750585e+00, 2.06120789e+00, 0.00000000e+00],
[-3.60733222e+01, 5.51333390e+00, 6.00000006e+00],
[-2.83925144e-05, -2.87228008e-05, 9.90000000e-01]])
fopt: 0.8697198842894674
fun: -0.8704711520701336
message: 'Optimization terminated successfully.'
nfev: 835
nit: 10
status: 0
success: True
x: array([ 87.58408552, 166.01762958, 21.00058638])
xopt: array([ 88., 167., 22.])
zopt: array([ 88., 255., 277.])
*******************************************
Period: 19
direc: array([[ 1. , 0. , 0. ],
[ 2.03175427, 2.0553894 , 0. ],
[-47.73277868, -2.92853626, 131.44406154]])
fopt: 1.1002641769055266
fun: -1.1015018143912738
message: 'Optimization terminated successfully.'
nfev: 549
nit: 8
status: 0
success: True
x: array([ 82.99999681, 119. , 150. ])
xopt: array([ 83., 120., 150.])
zopt: array([ 83., 203., 353.])
*******************************************
Period: 20
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 2.02219071e+00, 2.04571459e+00, 0.00000000e+00],
[ 6.12227416e+00, -1.93824273e-03, 1.10060801e+02]])
fopt: 1.0749899847859785
fun: -1.0749858740097644
message: 'Optimization terminated successfully.'
nfev: 409
nit: 6
status: 0
success: True
x: array([ 88.99915365, 121.0000015 , 169.00003049])
xopt: array([ 89., 122., 169.])
zopt: array([ 89., 211., 380.])
*******************************************
Period: 21
direc: array([[ 2.0233219 , 2.04685894, 0. ],
[-38.9551796 , 10.99380119, 15.98291707],
[ 2.07660232, 2.10075917, 1.02633314]])
fopt: 0.7836658698607802
fun: -0.7814022202328086
message: 'Optimization terminated successfully.'
nfev: 689
nit: 10
status: 0
success: True
x: array([ 88.76656817, 175.00354537, 43.00014154])
xopt: array([ 89., 176., 44.])
zopt: array([ 89., 265., 309.])
*******************************************
Period: 22
direc: array([[ 2.06966838e-02, 1.86127442e-02, 2.06241191e-02],
[-3.90117760e+01, -6.75147085e-03, 1.20193359e+01],
[ 7.93535903e+00, 7.96525717e+00, 2.32100732e-03]])
fopt: 0.6866984602034627
fun: -0.6837865672881478
message: 'Optimization terminated successfully.'
nfev: 603
nit: 8
status: 0
success: True
x: array([ 89.91077407, 149.00217147, 25.08009236])
xopt: array([ 89., 150., 26.])
zopt: array([ 89., 239., 265.])
*******************************************
Period: 23
direc: array([[ 1. , 0. , 0. ],
[ 1.01999545, 1.03186093, 0. ],
[103.3907652 , 78.59773393, 52.20924312]])
fopt: 0.6833605204874205
fun: -0.6801836022320241
message: 'Optimization terminated successfully.'
nfev: 389
nit: 5
status: 0
success: True
x: array([106.98966082, 84.00044576, 55.21999345])
xopt: array([106., 85., 56.])
zopt: array([106., 191., 247.])
*******************************************
Period: 24
direc: array([[ 1. , 0. , 0. ],
[ 1.01770177, 1.02954056, 0. ],
[110.22732151, 83.79995777, 56.11734876]])
fopt: 0.7020388364345367
fun: -0.6986659367256505
message: 'Optimization terminated successfully.'
nfev: 372
nit: 5
status: 0
success: True
x: array([102.71147419, 89.0275164 , 60.01306703])
xopt: array([102., 90., 61.])
zopt: array([102., 192., 253.])
*******************************************
Period: 25
direc: array([[ 1. , 0. , 0. ],
[ 1.01580723, 1.02762398, 0. ],
[111.27607979, 75.17084922, 75.17156688]])
fopt: 0.7131677042209543
fun: -0.7126227901220756
message: 'Optimization terminated successfully.'
nfev: 344
nit: 4
status: 0
success: True
x: array([115.90005824, 79.13189734, 78.18151589])
xopt: array([115., 80., 79.])
zopt: array([115., 195., 274.])
*******************************************
Period: 26
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.05593734e-01, -1.05938546e-01, -1.83670007e-03],
[-8.77296634e-07, 1.59075336e-12, -9.72400429e-03]])
fopt: 0.9181253994455514
fun: -0.9164016977297048
message: 'Optimization terminated successfully.'
nfev: 607
nit: 7
status: 0
success: True
x: array([ 88.99999999, 119. , 176.00000087])
xopt: array([ 89., 120., 177.])
zopt: array([ 89., 209., 386.])
*******************************************
Period: 27
direc: array([[-0.03763266, -0.01801863, -0.01283259],
[ 1.03704582, 1.04022132, 0.0179375 ],
[-1.96842865, 6.00876449, 8.11695332]])
fopt: 0.7541984329744577
fun: -0.7509457477046554
message: 'Optimization terminated successfully.'
nfev: 1087
nit: 15
status: 0
success: True
x: array([ 92.61982684, 143.00001559, 73.03645166])
xopt: array([ 92., 144., 74.])
zopt: array([ 92., 236., 310.])
*******************************************
Period: 28
direc: array([[ 1. , 0. , 0. ],
[ 0. , 0. , 1. ],
[-0.46620695, -0.46764921, -0.00799478]])
fopt: 0.5814880414790358
fun: -0.5809008038465848
message: 'Optimization terminated successfully.'
nfev: 498
nit: 5
status: 0
success: True
x: array([118.9991024 , 119.0017241 , 4.00022331])
xopt: array([118., 120., 5.])
zopt: array([118., 238., 243.])
*******************************************
Period: 29
direc: array([[-8.48920824e-02, 0.00000000e+00, 2.81862659e-02],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.06820747e+01, 0.00000000e+00, 1.75369906e+02]])
fopt: 0.9016140635725958
fun: -0.9000984964687331
message: 'Optimization terminated successfully.'
nfev: 630
nit: 9
status: 0
success: True
x: array([ 88.71109332, 120.31170494, 191.00000003])
xopt: array([ 89., 121., 191.])
zopt: array([ 89., 210., 401.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptadnv_rv.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9rbxhey8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [6e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.00872446
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 0.116326 0.00872446
Optimal solution found (tolerance 1.00e-02)
Best objective 1.163261303669e-01, best bound 1.163261303669e-01, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpojy0r9tf.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf20ht0cb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective -0.243433
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.557418e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.5574181 1.55742 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.55742 -0.243433
Optimal solution found (tolerance 1.00e-02)
Best objective 1.557418118137e+00, best bound 1.557418118137e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8nsubddc.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpykcgl1fa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.703938
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 1.782144e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.7821437 1.78214 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.78214 0.703938
Optimal solution found (tolerance 1.00e-02)
Best objective 1.782143682378e+00, best bound 1.782143682378e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphpg4ojru.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsi7lpupv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0954
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.291035e+00, 42 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29104 0 3 1.09540 2.29104 109% - 0s
H 0 0 1.4185111 2.29104 61.5% - 0s
H 0 0 1.7790561 2.29104 28.8% - 0s
0 0 cutoff 0 1.77906 1.77906 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (55 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.77906 1.41851 1.0954
Optimal solution found (tolerance 1.00e-02)
Best objective 1.779056084597e+00, best bound 1.779056084597e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_2e6wo1n.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptqnq4jqw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29636
Presolve removed 142 rows and 99 columns
Presolve time: 0.00s
Presolved: 95 rows, 76 columns, 321 nonzeros
Variable types: 37 continuous, 39 integer (34 binary)
Root relaxation: objective 2.148141e+00, 56 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14814 0 4 1.29636 2.14814 65.7% - 0s
H 0 0 1.6330842 2.14814 31.5% - 0s
0 0 cutoff 0 1.63308 1.63308 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (76 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.63308 1.29636
Optimal solution found (tolerance 1.00e-02)
Best objective 1.633084248101e+00, best bound 1.633084248101e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppllss1qy.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx6gf5g31.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35341
Presolve removed 190 rows and 132 columns
Presolve time: 0.01s
Presolved: 93 rows, 76 columns, 323 nonzeros
Variable types: 41 continuous, 35 integer (32 binary)
Root relaxation: objective 1.451877e+00, 54 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45188 0 2 1.35341 1.45188 7.28% - 0s
H 0 0 1.3555618 1.45188 7.11% - 0s
0 0 cutoff 0 1.35556 1.35556 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Explored 1 nodes (63 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35556 1.35341
Optimal solution found (tolerance 1.00e-02)
Best objective 1.355561766642e+00, best bound 1.355561766642e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz8ik567u.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpstgf57tc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08791
Presolve removed 165 rows and 111 columns
Presolve time: 0.00s
Presolved: 164 rows, 130 columns, 561 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 1.925761e+00, 121 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92576 0 7 1.08791 1.92576 77.0% - 0s
H 0 0 1.4926039 1.92576 29.0% - 0s
0 0 1.60642 0 6 1.49260 1.60642 7.63% - 0s
0 0 1.54189 0 3 1.49260 1.54189 3.30% - 0s
0 0 1.54189 0 1 1.49260 1.54189 3.30% - 0s
0 0 1.54189 0 1 1.49260 1.54189 3.30% - 0s
0 0 1.54189 0 1 1.49260 1.54189 3.30% - 0s
0 0 infeasible 0 1.49260 1.49260 0.00% - 0s
Explored 1 nodes (210 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.4926 1.08791
Optimal solution found (tolerance 1.00e-02)
Best objective 1.492603852251e+00, best bound 1.492603852251e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyt4m7xwp.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp3h7mg2h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21628
Presolve removed 181 rows and 121 columns
Presolve time: 0.01s
Presolved: 194 rows, 153 columns, 669 nonzeros
Variable types: 77 continuous, 76 integer (71 binary)
Root relaxation: objective 1.897690e+00, 123 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89769 0 8 1.21628 1.89769 56.0% - 0s
H 0 0 1.4318597 1.89769 32.5% - 0s
0 0 1.65317 0 11 1.43186 1.65317 15.5% - 0s
0 0 1.54919 0 3 1.43186 1.54919 8.19% - 0s
0 0 1.54875 0 3 1.43186 1.54875 8.16% - 0s
0 0 1.54875 0 3 1.43186 1.54875 8.16% - 0s
0 0 1.54616 0 2 1.43186 1.54616 7.98% - 0s
0 0 1.54558 0 2 1.43186 1.54558 7.94% - 0s
0 0 1.54546 0 2 1.43186 1.54546 7.93% - 0s
0 0 1.54546 0 2 1.43186 1.54546 7.93% - 0s
0 0 1.54329 0 3 1.43186 1.54329 7.78% - 0s
0 0 1.54327 0 3 1.43186 1.54327 7.78% - 0s
0 0 1.54322 0 3 1.43186 1.54322 7.78% - 0s
0 0 1.54322 0 3 1.43186 1.54322 7.78% - 0s
0 0 1.54322 0 3 1.43186 1.54322 7.78% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 2
Explored 1 nodes (268 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.43186 1.21628
Optimal solution found (tolerance 1.00e-02)
Best objective 1.431859654903e+00, best bound 1.431859654903e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2qq1jejh.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplfulr2fr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20986
Presolve removed 196 rows and 130 columns
Presolve time: 0.01s
Presolved: 225 rows, 177 columns, 778 nonzeros
Variable types: 90 continuous, 87 integer (82 binary)
Root relaxation: objective 1.874444e+00, 144 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87444 0 9 1.20986 1.87444 54.9% - 0s
H 0 0 1.4063243 1.87444 33.3% - 0s
0 0 1.58949 0 19 1.40632 1.58949 13.0% - 0s
0 0 1.56005 0 6 1.40632 1.56005 10.9% - 0s
0 0 1.55738 0 11 1.40632 1.55738 10.7% - 0s
0 0 1.55542 0 8 1.40632 1.55542 10.6% - 0s
0 0 1.55357 0 8 1.40632 1.55357 10.5% - 0s
0 0 1.52023 0 10 1.40632 1.52023 8.10% - 0s
0 0 1.51899 0 12 1.40632 1.51899 8.01% - 0s
0 0 1.51899 0 12 1.40632 1.51899 8.01% - 0s
0 0 1.51899 0 5 1.40632 1.51899 8.01% - 0s
0 0 1.51605 0 6 1.40632 1.51605 7.80% - 0s
0 0 1.51026 0 8 1.40632 1.51026 7.39% - 0s
0 0 1.50829 0 6 1.40632 1.50829 7.25% - 0s
0 0 1.50508 0 6 1.40632 1.50508 7.02% - 0s
0 0 1.50491 0 6 1.40632 1.50491 7.01% - 0s
0 0 1.50491 0 6 1.40632 1.50491 7.01% - 0s
0 0 1.50349 0 5 1.40632 1.50349 6.91% - 0s
0 0 1.50349 0 5 1.40632 1.50349 6.91% - 0s
0 2 1.50349 0 5 1.40632 1.50349 6.91% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
MIR: 5
StrongCG: 1
Flow cover: 5
Explored 3 nodes (406 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.40632 1.20986
Optimal solution found (tolerance 1.00e-02)
Best objective 1.406324339096e+00, best bound 1.406324339096e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx66vuyra.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc7izmg7_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19553
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.844506e+00, 164 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84451 0 13 1.19553 1.84451 54.3% - 0s
H 0 0 1.2727630 1.84451 44.9% - 0s
0 0 1.57812 0 9 1.27276 1.57812 24.0% - 0s
0 0 1.57549 0 13 1.27276 1.57549 23.8% - 0s
0 0 1.56919 0 18 1.27276 1.56919 23.3% - 0s
0 0 1.56826 0 18 1.27276 1.56826 23.2% - 0s
0 0 1.56814 0 18 1.27276 1.56814 23.2% - 0s
0 0 1.56453 0 12 1.27276 1.56453 22.9% - 0s
0 0 1.56446 0 13 1.27276 1.56446 22.9% - 0s
0 0 1.56425 0 18 1.27276 1.56425 22.9% - 0s
H 0 0 1.2877058 1.56425 21.5% - 0s
0 0 1.56419 0 14 1.28771 1.56419 21.5% - 0s
0 0 1.56419 0 14 1.28771 1.56419 21.5% - 0s
H 0 0 1.3026486 1.56419 20.1% - 0s
0 2 1.56419 0 14 1.30265 1.56419 20.1% - 0s
H 33 5 1.3288168 1.35203 1.75% 6.1 0s
Cutting planes:
Gomory: 5
Implied bound: 1
MIR: 4
Flow cover: 16
Explored 41 nodes (518 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.32882 1.30265 1.28771 ... 1.19553
Optimal solution found (tolerance 1.00e-02)
Best objective 1.328816820305e+00, best bound 1.338388985539e+00, gap 0.7204%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf9sqtng0.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphi_9zian.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13738
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.884763e+00, 205 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88476 0 16 1.13738 1.88476 65.7% - 0s
0 0 1.63209 0 20 1.13738 1.63209 43.5% - 0s
0 0 1.62275 0 22 1.13738 1.62275 42.7% - 0s
0 0 1.57308 0 24 1.13738 1.57308 38.3% - 0s
0 0 1.57306 0 24 1.13738 1.57306 38.3% - 0s
0 0 1.55345 0 25 1.13738 1.55345 36.6% - 0s
0 0 1.55321 0 25 1.13738 1.55321 36.6% - 0s
0 0 1.55222 0 23 1.13738 1.55222 36.5% - 0s
0 0 1.55191 0 23 1.13738 1.55191 36.4% - 0s
0 0 1.55191 0 23 1.13738 1.55191 36.4% - 0s
0 2 1.55191 0 23 1.13738 1.55191 36.4% - 0s
H 29 17 1.3176884 1.35593 2.90% 5.8 0s
Cutting planes:
Gomory: 8
Implied bound: 5
Clique: 4
MIR: 2
Flow cover: 24
Explored 53 nodes (648 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.31769 1.13738
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.5473e-06) exceeds tolerance
Best objective 1.317688416567e+00, best bound 1.327690693147e+00, gap 0.7591%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1ksyoesh.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpldjsz5tz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13929
Presolve removed 228 rows and 150 columns
Presolve time: 0.00s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.916903e+00, 238 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91690 0 23 1.13929 1.91690 68.3% - 0s
0 0 1.66064 0 24 1.13929 1.66064 45.8% - 0s
0 0 1.64120 0 23 1.13929 1.64120 44.1% - 0s
0 0 1.64120 0 23 1.13929 1.64120 44.1% - 0s
0 0 1.63497 0 27 1.13929 1.63497 43.5% - 0s
0 0 1.63453 0 27 1.13929 1.63453 43.5% - 0s
0 0 1.63429 0 29 1.13929 1.63429 43.4% - 0s
0 0 1.63429 0 27 1.13929 1.63429 43.4% - 0s
0 2 1.63429 0 27 1.13929 1.63429 43.4% - 0s
* 93 41 21 1.2666503 1.36009 7.38% 5.9 0s
* 141 35 25 1.2680869 1.34616 6.16% 5.5 0s
* 160 25 24 1.2991816 1.33494 2.75% 5.2 0s
* 190 1 22 1.3250435 1.32504 0.00% 5.2 0s
Cutting planes:
Gomory: 11
Implied bound: 4
Clique: 3
MIR: 2
Flow cover: 15
Explored 199 nodes (1443 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.32504 1.29918 1.26809 ... 1.13929
Optimal solution found (tolerance 1.00e-02)
Best objective 1.325043544825e+00, best bound 1.325043544825e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9a5ll2jo.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp69oxjmlm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16171
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.932738e+00, 250 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93274 0 26 1.16171 1.93274 66.4% - 0s
0 0 1.67282 0 25 1.16171 1.67282 44.0% - 0s
0 0 1.67058 0 26 1.16171 1.67058 43.8% - 0s
0 0 1.61619 0 32 1.16171 1.61619 39.1% - 0s
0 0 1.61528 0 32 1.16171 1.61528 39.0% - 0s
0 0 1.61301 0 31 1.16171 1.61301 38.8% - 0s
0 0 1.61188 0 32 1.16171 1.61188 38.8% - 0s
0 0 1.61158 0 32 1.16171 1.61158 38.7% - 0s
0 0 1.61158 0 32 1.16171 1.61158 38.7% - 0s
0 2 1.61158 0 32 1.16171 1.61158 38.7% - 0s
* 126 21 27 1.3351934 1.41271 5.81% 6.4 0s
Cutting planes:
Gomory: 16
Cover: 1
Implied bound: 12
Clique: 4
MIR: 4
Flow cover: 19
Inf proof: 1
Explored 186 nodes (1612 simplex iterations) in 0.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33519 1.16171
Optimal solution found (tolerance 1.00e-02)
Best objective 1.335193418971e+00, best bound 1.335193418971e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpag935jcg.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjsl0riic.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19545
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.910229e+00, 260 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91023 0 29 1.19545 1.91023 59.8% - 0s
0 0 1.62884 0 36 1.19545 1.62884 36.3% - 0s
0 0 1.60715 0 41 1.19545 1.60715 34.4% - 0s
0 0 1.60715 0 41 1.19545 1.60715 34.4% - 0s
0 0 1.60402 0 43 1.19545 1.60402 34.2% - 0s
0 0 1.60383 0 43 1.19545 1.60383 34.2% - 0s
0 0 1.60383 0 39 1.19545 1.60383 34.2% - 0s
0 2 1.60383 0 39 1.19545 1.60383 34.2% - 0s
* 370 67 34 1.2852210 1.33954 4.23% 5.7 0s
* 683 14 32 1.3040941 1.32868 1.89% 5.5 0s
* 744 0 32 1.3096347 1.30963 0.00% 5.4 0s
Cutting planes:
Gomory: 24
Implied bound: 10
Clique: 4
MIR: 3
Flow cover: 26
Inf proof: 3
Explored 750 nodes (4538 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.30963 1.30409 1.28522 1.19545
Optimal solution found (tolerance 1.00e-02)
Best objective 1.309634738720e+00, best bound 1.309634738720e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp972ej8lp.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprt74m36b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17939
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.881110e+00, 323 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88111 0 32 1.17939 1.88111 59.5% - 0s
0 0 1.58457 0 39 1.17939 1.58457 34.4% - 0s
0 0 1.55625 0 42 1.17939 1.55625 32.0% - 0s
0 0 1.55557 0 42 1.17939 1.55557 31.9% - 0s
0 0 1.55501 0 47 1.17939 1.55501 31.8% - 0s
0 0 1.55501 0 41 1.17939 1.55501 31.8% - 0s
0 2 1.55501 0 40 1.17939 1.55501 31.8% - 0s
* 461 51 40 1.2521486 1.29948 3.78% 6.3 0s
* 770 12 32 1.2537329 1.28588 2.56% 5.6 0s
H 916 2 1.2683941 1.27200 0.28% 5.6 0s
Cutting planes:
Gomory: 26
Cover: 6
Implied bound: 14
Clique: 4
MIR: 4
Flow cover: 24
Inf proof: 9
Explored 945 nodes (5825 simplex iterations) in 0.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.26839 1.25373 1.25215 1.17939
Optimal solution found (tolerance 1.00e-02)
Best objective 1.268394131380e+00, best bound 1.271996519310e+00, gap 0.2840%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp508js0go.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwgf_3_qo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14498
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.863921e+00, 324 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86392 0 35 1.14498 1.86392 62.8% - 0s
0 0 1.53718 0 43 1.14498 1.53718 34.3% - 0s
0 0 1.51001 0 47 1.14498 1.51001 31.9% - 0s
0 0 1.50942 0 48 1.14498 1.50942 31.8% - 0s
0 0 1.50942 0 48 1.14498 1.50942 31.8% - 0s
0 0 1.50734 0 48 1.14498 1.50734 31.6% - 0s
0 0 1.50734 0 48 1.14498 1.50734 31.6% - 0s
0 2 1.50734 0 41 1.14498 1.50734 31.6% - 0s
* 1308 236 45 1.1613566 1.26217 8.68% 7.0 0s
* 1394 197 42 1.1846244 1.26158 6.50% 6.8 0s
* 1608 203 43 1.1933101 1.25943 5.54% 6.8 0s
* 1750 131 39 1.2212417 1.25838 3.04% 6.6 0s
Cutting planes:
Gomory: 26
Cover: 10
Implied bound: 18
Clique: 4
MIR: 2
Flow cover: 31
Inf proof: 19
Explored 2042 nodes (14045 simplex iterations) in 1.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.22124 1.19331 1.18462 ... 1.14498
Optimal solution found (tolerance 1.00e-02)
Best objective 1.221241740872e+00, best bound 1.231205291778e+00, gap 0.8159%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo_ormf5e.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp30qnkgbr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14132
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.752769e+00, 337 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75277 0 36 1.14132 1.75277 53.6% - 0s
0 0 1.43689 0 33 1.14132 1.43689 25.9% - 0s
0 0 1.38090 0 49 1.14132 1.38090 21.0% - 0s
0 0 1.38059 0 46 1.14132 1.38059 21.0% - 0s
0 0 1.38008 0 49 1.14132 1.38008 20.9% - 0s
0 0 1.38008 0 41 1.14132 1.38008 20.9% - 0s
0 2 1.38008 0 41 1.14132 1.38008 20.9% - 0s
Cutting planes:
Gomory: 29
Cover: 2
Implied bound: 12
Clique: 4
MIR: 3
Flow cover: 26
Inf proof: 7
Explored 1021 nodes (6605 simplex iterations) in 0.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.14132
Optimal solution found (tolerance 1.00e-02)
Best objective 1.141316089161e+00, best bound 1.148994096805e+00, gap 0.6727%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp97axz5o_.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps3efblyk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06615
Presolve removed 312 rows and 204 columns
Presolve time: 0.02s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.739411e+00, 356 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73941 0 41 1.06615 1.73941 63.1% - 0s
0 0 1.43433 0 34 1.06615 1.43433 34.5% - 0s
0 0 1.37654 0 42 1.06615 1.37654 29.1% - 0s
0 0 1.37652 0 40 1.06615 1.37652 29.1% - 0s
0 0 1.37607 0 46 1.06615 1.37607 29.1% - 0s
0 0 1.37607 0 42 1.06615 1.37607 29.1% - 0s
0 2 1.37607 0 42 1.06615 1.37607 29.1% - 0s
H 1506 190 1.1301953 1.16959 3.49% 8.6 1s
* 1772 125 42 1.1373061 1.15712 1.74% 8.4 1s
* 1836 69 40 1.1399589 1.15516 1.33% 8.3 1s
Cutting planes:
Gomory: 29
Cover: 14
Implied bound: 29
Clique: 4
MIR: 3
Flow cover: 31
Inf proof: 24
Explored 2043 nodes (17396 simplex iterations) in 1.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.13996 1.13731 1.1302 1.06615
Optimal solution found (tolerance 1.00e-02)
Best objective 1.139958920947e+00, best bound 1.151148564763e+00, gap 0.9816%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv1yw1gjv.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppt9f8bk3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04914
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.702926e+00, 400 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70293 0 45 1.04914 1.70293 62.3% - 0s
0 0 1.40560 0 37 1.04914 1.40560 34.0% - 0s
0 0 1.35120 0 50 1.04914 1.35120 28.8% - 0s
0 0 1.34986 0 49 1.04914 1.34986 28.7% - 0s
0 0 1.34800 0 51 1.04914 1.34800 28.5% - 0s
0 0 1.34799 0 50 1.04914 1.34799 28.5% - 0s
0 0 1.34761 0 52 1.04914 1.34761 28.4% - 0s
0 0 1.34761 0 45 1.04914 1.34761 28.4% - 0s
0 2 1.34761 0 45 1.04914 1.34761 28.4% - 0s
H 2222 495 1.0612512 1.15093 8.45% 7.7 1s
* 2681 476 56 1.0612512 1.15093 8.45% 8.5 2s
* 3691 274 51 1.0853789 1.15093 6.04% 8.7 2s
* 3943 200 47 1.0876232 1.14365 5.15% 8.6 3s
* 4105 3 58 1.1100202 1.13049 1.84% 8.6 3s
Cutting planes:
Gomory: 41
Cover: 7
Implied bound: 9
Projected implied bound: 16
Clique: 3
MIR: 4
Flow cover: 26
Inf proof: 18
Explored 4260 nodes (37055 simplex iterations) in 3.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.11002 1.08762 1.08538 ... 1.04914
Optimal solution found (tolerance 1.00e-02)
Best objective 1.110020202377e+00, best bound 1.110020202377e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp28_4a_zb.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkbq97xbv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01331
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.677904e+00, 452 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67790 0 47 1.01331 1.67790 65.6% - 0s
0 0 1.38534 0 41 1.01331 1.38534 36.7% - 0s
0 0 1.36189 0 52 1.01331 1.36189 34.4% - 0s
0 0 1.36060 0 51 1.01331 1.36060 34.3% - 0s
0 0 1.36059 0 51 1.01331 1.36059 34.3% - 0s
0 0 1.35770 0 54 1.01331 1.35770 34.0% - 0s
0 0 1.35709 0 56 1.01331 1.35709 33.9% - 0s
0 0 1.35709 0 50 1.01331 1.35709 33.9% - 0s
0 2 1.35709 0 48 1.01331 1.35709 33.9% - 0s
H 1847 375 1.0296866 1.14795 11.5% 8.1 1s
* 2144 359 48 1.0808704 1.14440 5.88% 8.0 1s
Cutting planes:
Gomory: 47
Cover: 4
Implied bound: 5
Projected implied bound: 18
Clique: 3
MIR: 2
Flow cover: 22
Inf proof: 4
Explored 2534 nodes (21916 simplex iterations) in 2.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.08087 1.02969 1.01331
Optimal solution found (tolerance 1.00e-02)
Best objective 1.080870424258e+00, best bound 1.087376782886e+00, gap 0.6020%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4q708xa2.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0t1q0ehu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00002
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.649411e+00, 453 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64941 0 52 1.00002 1.64941 64.9% - 0s
0 0 1.36180 0 51 1.00002 1.36180 36.2% - 0s
0 0 1.31421 0 58 1.00002 1.31421 31.4% - 0s
0 0 1.31372 0 57 1.00002 1.31372 31.4% - 0s
0 0 1.31363 0 59 1.00002 1.31363 31.4% - 0s
0 0 1.31363 0 51 1.00002 1.31363 31.4% - 0s
0 2 1.31363 0 47 1.00002 1.31363 31.4% - 0s
H 1546 507 1.0204320 1.10949 8.73% 9.8 1s
H 2884 466 1.0551253 1.08586 2.91% 8.8 1s
Cutting planes:
Gomory: 47
Cover: 1
Implied bound: 8
Projected implied bound: 22
Clique: 4
MIR: 4
Flow cover: 32
Inf proof: 9
Explored 4014 nodes (38297 simplex iterations) in 3.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.05513 1.02043 1.00002
Optimal solution found (tolerance 1.00e-02)
Best objective 1.055125252534e+00, best bound 1.061024357547e+00, gap 0.5591%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmwjgqhta.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk5lwtrze.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00804
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.574090e+00, 466 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57409 0 53 1.00804 1.57409 56.2% - 0s
0 0 1.29544 0 54 1.00804 1.29544 28.5% - 0s
0 0 1.25364 0 57 1.00804 1.25364 24.4% - 0s
0 0 1.25330 0 57 1.00804 1.25330 24.3% - 0s
0 0 1.25312 0 59 1.00804 1.25312 24.3% - 0s
0 0 1.25312 0 52 1.00804 1.25312 24.3% - 0s
0 2 1.25312 0 50 1.00804 1.25312 24.3% - 0s
Cutting planes:
Gomory: 49
Implied bound: 10
Projected implied bound: 21
Clique: 4
MIR: 8
Flow cover: 36
Inf proof: 16
Explored 2618 nodes (25967 simplex iterations) in 2.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00804
Optimal solution found (tolerance 1.00e-02)
Best objective 1.008043574081e+00, best bound 1.008448834291e+00, gap 0.0402%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiy3ekbyv.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4t1ook8p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.989723
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.514320e+00, 486 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51432 0 56 0.98972 1.51432 53.0% - 0s
0 0 1.26892 0 52 0.98972 1.26892 28.2% - 0s
0 0 1.26892 0 52 0.98972 1.26892 28.2% - 0s
0 0 1.22971 0 57 0.98972 1.22971 24.2% - 0s
0 0 1.22949 0 48 0.98972 1.22949 24.2% - 0s
0 0 1.22777 0 54 0.98972 1.22777 24.1% - 0s
0 0 1.22777 0 50 0.98972 1.22777 24.1% - 0s
0 2 1.22777 0 50 0.98972 1.22777 24.1% - 0s
Cutting planes:
Gomory: 38
Cover: 8
Implied bound: 28
Clique: 4
MIR: 6
Flow cover: 41
Inf proof: 22
Explored 4248 nodes (31998 simplex iterations) in 2.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.989723
Optimal solution found (tolerance 1.00e-02)
Best objective 9.897228625271e-01, best bound 9.987220397104e-01, gap 0.9093%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqv4zl9uv.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvqe1stt9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97532
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.464811e+00, 526 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46481 0 57 0.97532 1.46481 50.2% - 0s
0 0 1.25626 0 53 0.97532 1.25626 28.8% - 0s
0 0 1.21752 0 61 0.97532 1.21752 24.8% - 0s
0 0 1.21720 0 59 0.97532 1.21720 24.8% - 0s
0 0 1.21663 0 62 0.97532 1.21663 24.7% - 0s
0 0 1.21432 0 64 0.97532 1.21432 24.5% - 0s
0 0 1.21418 0 61 0.97532 1.21418 24.5% - 0s
0 0 1.21366 0 64 0.97532 1.21366 24.4% - 0s
0 0 1.21366 0 58 0.97532 1.21366 24.4% - 0s
0 2 1.21366 0 56 0.97532 1.21366 24.4% - 0s
H 4201 386 0.9753197 1.00233 2.77% 8.3 2s
Cutting planes:
Gomory: 35
Cover: 15
Implied bound: 30
Clique: 4
MIR: 14
Flow cover: 49
Inf proof: 40
Explored 6775 nodes (53621 simplex iterations) in 4.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.97532 0.97532
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.4139e-06) exceeds tolerance
Best objective 9.753196697458e-01, best bound 9.849852279306e-01, gap 0.9910%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp390fh_g8.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppc8h99xi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960363
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.424304e+00, 554 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42430 0 60 0.96036 1.42430 48.3% - 0s
0 0 1.23546 0 64 0.96036 1.23546 28.6% - 0s
0 0 1.23546 0 64 0.96036 1.23546 28.6% - 0s
0 0 1.23106 0 71 0.96036 1.23106 28.2% - 0s
0 0 1.23095 0 71 0.96036 1.23095 28.2% - 0s
0 0 1.22989 0 73 0.96036 1.22989 28.1% - 0s
0 0 1.22989 0 56 0.96036 1.22989 28.1% - 0s
0 2 1.22989 0 54 0.96036 1.22989 28.1% - 0s
H 3667 466 0.9603634 1.00067 4.20% 9.3 2s
5511 209 0.97922 41 47 0.96036 0.98780 2.86% 9.8 5s
Cutting planes:
Gomory: 64
Cover: 8
Implied bound: 7
Projected implied bound: 18
MIR: 7
Flow cover: 35
Inf proof: 28
Explored 6405 nodes (61950 simplex iterations) in 5.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.960363 0.960363
Optimal solution found (tolerance 1.00e-02)
Best objective 9.603634059548e-01, best bound 9.653428021501e-01, gap 0.5185%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp28d59xwb.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5quvnrs7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.953938
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.406478e+00, 604 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40648 0 55 0.95394 1.40648 47.4% - 0s
0 0 1.23933 0 65 0.95394 1.23933 29.9% - 0s
0 0 1.22373 0 73 0.95394 1.22373 28.3% - 0s
0 0 1.22353 0 71 0.95394 1.22353 28.3% - 0s
0 0 1.22157 0 75 0.95394 1.22157 28.1% - 0s
0 0 1.22139 0 76 0.95394 1.22139 28.0% - 0s
0 0 1.22138 0 75 0.95394 1.22138 28.0% - 0s
0 0 1.22093 0 77 0.95394 1.22093 28.0% - 0s
0 0 1.22093 0 66 0.95394 1.22093 28.0% - 0s
0 2 1.22093 0 66 0.95394 1.22093 28.0% - 0s
H 4255 367 0.9539376 1.01386 6.28% 13.1 5s
Cutting planes:
Gomory: 69
Cover: 2
Implied bound: 11
Projected implied bound: 29
Clique: 4
MIR: 8
Flow cover: 36
Inf proof: 47
Explored 6906 nodes (84003 simplex iterations) in 7.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.953938 0.953938
Optimal solution found (tolerance 1.00e-02)
Best objective 9.539375707848e-01, best bound 9.593855776349e-01, gap 0.5711%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfuag1ez0.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk236urca.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.927022
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.393912e+00, 603 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39391 0 65 0.92702 1.39391 50.4% - 0s
0 0 1.22298 0 67 0.92702 1.22298 31.9% - 0s
0 0 1.20923 0 74 0.92702 1.20923 30.4% - 0s
0 0 1.20907 0 74 0.92702 1.20907 30.4% - 0s
0 0 1.20888 0 77 0.92702 1.20888 30.4% - 0s
0 0 1.20877 0 78 0.92702 1.20877 30.4% - 0s
0 0 1.20877 0 69 0.92702 1.20877 30.4% - 0s
0 2 1.20877 0 69 0.92702 1.20877 30.4% - 0s
H 1495 642 0.9270218 1.02247 10.3% 9.0 1s
H 1584 637 0.9270218 1.02247 10.3% 10.2 2s
3318 364 cutoff 37 0.92702 0.98198 5.93% 12.5 5s
Cutting planes:
Gomory: 68
Cover: 1
Implied bound: 13
Projected implied bound: 23
Clique: 4
MIR: 8
Flow cover: 43
Inf proof: 48
Explored 6252 nodes (79863 simplex iterations) in 7.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.927022 0.927022 0.927022
Optimal solution found (tolerance 1.00e-02)
Best objective 9.270218304649e-01, best bound 9.347480372784e-01, gap 0.8334%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf50irzwo.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmnfvsqcx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920414
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.378203e+00, 638 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37820 0 70 0.92041 1.37820 49.7% - 0s
0 0 1.19148 0 62 0.92041 1.19148 29.5% - 0s
0 0 1.19148 0 62 0.92041 1.19148 29.5% - 0s
0 0 1.18966 0 73 0.92041 1.18966 29.3% - 0s
0 0 1.18966 0 73 0.92041 1.18966 29.3% - 0s
0 0 1.18943 0 76 0.92041 1.18943 29.2% - 0s
0 0 1.18943 0 70 0.92041 1.18943 29.2% - 0s
0 2 1.18943 0 66 0.92041 1.18943 29.2% - 0s
3080 663 infeasible 42 0.92041 0.97289 5.70% 14.0 5s
H 4624 1000 0.9204139 0.95658 3.93% 13.8 6s
7324 829 0.94017 39 68 0.92041 0.94017 2.15% 13.9 10s
Cutting planes:
Gomory: 65
Cover: 2
Implied bound: 19
Projected implied bound: 28
MIR: 7
Flow cover: 42
Inf proof: 67
Explored 9143 nodes (125265 simplex iterations) in 11.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.920414 0.920414
Optimal solution found (tolerance 1.00e-02)
Best objective 9.204139131287e-01, best bound 9.278799065672e-01, gap 0.8112%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmr_t2o_0.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphesu4fxz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906466
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.348526e+00, 652 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34853 0 68 0.90647 1.34853 48.8% - 0s
0 0 1.17123 0 77 0.90647 1.17123 29.2% - 0s
0 0 1.17123 0 77 0.90647 1.17123 29.2% - 0s
0 0 1.16969 0 76 0.90647 1.16969 29.0% - 0s
0 0 1.16969 0 76 0.90647 1.16969 29.0% - 0s
0 0 1.16913 0 77 0.90647 1.16913 29.0% - 0s
0 0 1.16913 0 67 0.90647 1.16913 29.0% - 0s
0 2 1.16913 0 67 0.90647 1.16913 29.0% - 0s
3585 329 cutoff 34 0.90647 0.95120 4.94% 13.2 5s
H 3889 334 0.9064658 0.94676 4.45% 13.4 5s
Cutting planes:
Gomory: 58
Cover: 6
Implied bound: 18
Projected implied bound: 28
Clique: 2
MIR: 8
Flow cover: 48
Inf proof: 47
Explored 6153 nodes (77663 simplex iterations) in 7.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.906466 0.906466
Optimal solution found (tolerance 1.00e-02)
Best objective 9.064657722633e-01, best bound 9.147446998447e-01, gap 0.9133%
Run 4
Seed for training 72
Seed for simulation 493
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.51766303e+02, 3.82270377e+01, 7.70909947e+01],
[-6.75356474e-01, 9.72053525e-01, 5.60261039e-02]])
fopt: 0.7048832237879588
fun: -0.7021379016305285
message: 'Optimization terminated successfully.'
nfev: 384
nit: 5
status: 0
success: True
x: array([152.98730686, 43.00542895, 80.11928373])
xopt: array([152., 44., 81.])
zopt: array([152., 196., 277.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq747g9ay.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdokk3u6q.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.704883
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.263675e+00, 698 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26368 0 73 0.70488 1.26368 79.3% - 0s
0 0 1.13497 0 79 0.70488 1.13497 61.0% - 0s
0 0 1.13478 0 79 0.70488 1.13478 61.0% - 0s
0 0 1.12814 0 81 0.70488 1.12814 60.0% - 0s
0 0 1.12780 0 83 0.70488 1.12780 60.0% - 0s
0 0 1.12677 0 87 0.70488 1.12677 59.9% - 0s
0 0 1.12677 0 89 0.70488 1.12677 59.9% - 0s
0 0 1.12490 0 91 0.70488 1.12490 59.6% - 0s
0 0 1.12488 0 92 0.70488 1.12488 59.6% - 0s
0 0 1.12474 0 95 0.70488 1.12474 59.6% - 0s
0 0 1.12474 0 80 0.70488 1.12474 59.6% - 0s
0 2 1.12474 0 77 0.70488 1.12474 59.6% - 0s
* 1397 600 102 0.7212744 1.06598 47.8% 15.6 3s
* 2613 875 105 0.7576909 1.01253 33.6% 16.7 4s
2695 907 0.97486 30 58 0.75769 1.01133 33.5% 16.7 5s
H 4886 1283 0.8312994 0.97904 17.8% 17.6 8s
6536 1511 0.92882 35 59 0.83130 0.96616 16.2% 18.2 10s
* 7161 1676 113 0.8322475 0.96399 15.8% 18.1 10s
11404 2422 cutoff 56 0.83225 0.94588 13.7% 18.8 15s
*12084 2091 106 0.8602792 0.94502 9.85% 18.7 15s
*12786 2184 101 0.8617084 0.94266 9.39% 18.5 16s
*14576 1657 120 0.8873519 0.93760 5.66% 18.4 18s
*14577 1614 119 0.8885728 0.93760 5.52% 18.4 18s
*14879 356 111 0.9274293 0.93726 1.06% 18.4 18s
Cutting planes:
Gomory: 63
Cover: 3
Implied bound: 30
Projected implied bound: 10
MIR: 15
Flow cover: 60
Inf proof: 132
Explored 15852 nodes (286024 simplex iterations) in 19.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.927429 0.888573 0.887352 ... 0.704883
Optimal solution found (tolerance 0.00e+00)
Best objective 9.274292775375e-01, best bound 9.274292775375e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmjdnlyyn.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmf6ec2ip.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 462 rows and 330 columns
Presolve time: 0.00s
Presolved: 169 rows, 211 columns, 830 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.9371948e+01 4.658750e+02 0.000000e+00 0s
101 2.0235562e+01 0.000000e+00 0.000000e+00 0s
Solved in 101 iterations and 0.01 seconds
Optimal objective 2.023556213e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.13197123e-07, -1.07040399e-08, -4.81605806e-07]])
fopt: 3.3842025673175256
fun: -3.393988820859654
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([ 22.15035505, -1. , -87.99580146])
xopt: array([22., 0., 0.])
zopt: array([22., 22., 22.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.18975487e-04, -6.61249508e-04, -1.27582280e-05]])
fopt: 1.8101003607395585
fun: -1.8166684802140058
message: 'Optimization terminated successfully.'
nfev: 134
nit: 2
status: 0
success: True
x: array([ 50.68019228, -100.99911378, -0.99987346])
xopt: array([51., 0., 0.])
zopt: array([51., 51., 51.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.03317152, 0.03625906, -0.05931667]])
fopt: 1.7650741778588466
fun: -1.7790467158214103
message: 'Optimization terminated successfully.'
nfev: 434
nit: 6
status: 0
success: True
x: array([ 74.04749344, -86.99999585, -0.99972094])
xopt: array([74., 0., 0.])
zopt: array([74., 74., 74.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.39856334, 0.00796714, 0.02775627]])
fopt: 1.4925660864391468
fun: -1.5031362990261385
message: 'Optimization terminated successfully.'
nfev: 144
nit: 2
status: 0
success: True
x: array([100.00566046, -0.9791284 , -4.89483279])
xopt: array([100., 0., 0.])
zopt: array([100., 100., 100.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.2379451429465504
fun: -1.2362289301591387
message: 'Optimization terminated successfully.'
nfev: 177
nit: 2
status: 0
success: True
x: array([125.4020725 , 2. , -87.99580098])
xopt: array([125., 2., 0.])
zopt: array([125., 127., 127.])
*******************************************
Period: 6
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.1630746864076564
fun: -1.1646319511053307
message: 'Optimization terminated successfully.'
nfev: 242
nit: 2
status: 0
success: True
x: array([143.44383622, 1.00186739, 1. ])
xopt: array([143., 1., 1.])
zopt: array([143., 144., 145.])
*******************************************
Period: 7
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.0230650336000155
fun: -1.02415719151243
message: 'Optimization terminated successfully.'
nfev: 222
nit: 2
status: 0
success: True
x: array([169.43657798, 1.14024605, 1. ])
xopt: array([169., 1., 1.])
zopt: array([169., 170., 171.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1471
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1472
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.9461468501985796
fun: -0.9522366092163819
message: 'Optimization terminated successfully.'
nfev: 238
nit: 3
status: 0
success: True
x: array([225.00144643, 2.00031863, -0.98712424])
xopt: array([225., 2., 0.])
zopt: array([225., 227., 227.])
*******************************************
Period: 11
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.47447455e-01, -5.47914158e-10, 9.99918287e-01]])
fopt: 0.9589284604327325
fun: -0.9593012722456232
message: 'Optimization terminated successfully.'
nfev: 514
nit: 6
status: 0
success: True
x: array([227.50659801, -0.50607128, 27.7264661 ])
xopt: array([227., 0., 27.])
zopt: array([227., 227., 254.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8045932143966745
fun: -0.8014866803204008
message: 'Optimization terminated successfully.'
nfev: 238
nit: 3
status: 0
success: True
x: array([ 2.58999999e+02, -9.72161124e-06, 2.04796023e+00])
xopt: array([258., 0., 3.])
zopt: array([258., 258., 261.])
*******************************************
Period: 13
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.90181906e-07, -2.06599189e-16, 3.75196623e-08]])
fopt: 0.7393022118796819
fun: -0.7366127589112459
message: 'Optimization terminated successfully.'
nfev: 293
nit: 3
status: 0
success: True
x: array([2.58999079e+02, 7.70949203e-04, 2.04989152e+00])
xopt: array([258., 0., 3.])
zopt: array([258., 258., 261.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6765047708819756
fun: -0.6739222805562141
message: 'Optimization terminated successfully.'
nfev: 270
nit: 3
status: 0
success: True
x: array([258.9999997 , 1.00000677, 1.01018813])
xopt: array([258., 1., 2.])
zopt: array([258., 259., 261.])
*******************************************
Period: 15
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6286306156206148
fun: -0.6266278334538872
message: 'Optimization terminated successfully.'
nfev: 111
nit: 2
status: 0
success: True
x: array([255.29712336, 3.15509632, 3.18076496])
xopt: array([255., 3., 3.])
zopt: array([255., 258., 261.])
*******************************************
Period: 16
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[70.55172259, 0.77804541, 0.77593208]])
fopt: 0.5911849604078702
fun: -0.5883294083269097
message: 'Optimization terminated successfully.'
nfev: 220
nit: 3
status: 0
success: True
x: array([254.92670259, 2.01602571, 4.00748287])
xopt: array([254., 2., 5.])
zopt: array([254., 256., 261.])
*******************************************
Period: 17
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5399865004215343
fun: -0.5379450511779525
message: 'Optimization terminated successfully.'
nfev: 276
nit: 3
status: 0
success: True
x: array([256.99999949, 2.01754076, 2.00000001])
xopt: array([256., 2., 3.])
zopt: array([256., 258., 261.])
*******************************************
Period: 18
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.49908822029010746
fun: -0.4972803712602421
message: 'Optimization terminated successfully.'
nfev: 480
nit: 5
status: 0
success: True
x: array([257. , 2.00006667, 2.00001096])
xopt: array([256., 2., 3.])
zopt: array([256., 258., 261.])
*******************************************
Period: 19
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.95482089e-11, -8.12430836e-18, 1.35058623e-15]])
fopt: 0.45516933096318973
fun: -0.45344233271420176
message: 'Optimization terminated successfully.'
nfev: 307
nit: 3
status: 0
success: True
x: array([258.99789157, 1.00000942, 1.00497899])
xopt: array([258., 1., 2.])
zopt: array([258., 259., 261.])
*******************************************
Period: 20
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.92138980e-12, -8.10976495e-16, 7.42936661e-19]])
fopt: 0.4237402369672463
fun: -0.4221076370499522
message: 'Optimization terminated successfully.'
nfev: 313
nit: 3
status: 0
success: True
x: array([258.99874774, 1.0000874 , 1.00158538])
xopt: array([258., 1., 2.])
zopt: array([258., 259., 261.])
*******************************************
Period: 21
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4023371403634477
fun: -0.4007394895355503
message: 'Optimization terminated successfully.'
nfev: 267
nit: 3
status: 0
success: True
x: array([257.9999978 , 2. , 1.00127894])
xopt: array([257., 2., 2.])
zopt: array([257., 259., 261.])
*******************************************
Period: 22
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.06266301e-01, 3.63536869e-04, 0.00000000e+00]])
fopt: 0.3919809859183431
fun: -0.38988301161223243
message: 'Optimization terminated successfully.'
nfev: 385
nit: 4
status: 0
success: True
x: array([257.89227559, 2.0003595 , 1.00000308])
xopt: array([257., 2., 2.])
zopt: array([257., 259., 261.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.42515702e-05, -6.39253347e-08, 3.46020554e-06]])
fopt: 0.42481648391908183
fun: -0.4235211046946271
message: 'Optimization terminated successfully.'
nfev: 267
nit: 3
status: 0
success: True
x: array([256.999917 , 2.00097593, 2.08815349])
xopt: array([256., 2., 3.])
zopt: array([256., 258., 261.])
*******************************************
Period: 24
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.43450291298621657
fun: -0.43343090707219784
message: 'Optimization terminated successfully.'
nfev: 229
nit: 3
status: 0
success: True
x: array([255.94295474, 3. , 2.00022794])
xopt: array([255., 3., 3.])
zopt: array([255., 258., 261.])
*******************************************
Period: 25
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4234587692694381
fun: -0.4226757788126323
message: 'Optimization terminated successfully.'
nfev: 386
nit: 5
status: 0
success: True
x: array([255.99998919, 2.01033566, 3.00247574])
xopt: array([255., 2., 4.])
zopt: array([255., 257., 261.])
*******************************************
Period: 26
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4168616547117881
fun: -0.4158595524355948
message: 'Optimization terminated successfully.'
nfev: 372
nit: 4
status: 0
success: True
x: array([256.99999925, 2.03501779, 2. ])
xopt: array([256., 2., 3.])
zopt: array([256., 258., 261.])
*******************************************
Period: 27
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4222758096686755
fun: -0.42143015526118116
message: 'Optimization terminated successfully.'
nfev: 358
nit: 4
status: 0
success: True
x: array([257.99999999, 2.00115094, 1.00000266])
xopt: array([257., 2., 2.])
zopt: array([257., 259., 261.])
*******************************************
Period: 28
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.44506891002805204
fun: -0.44758513833187547
message: 'Optimization terminated successfully.'
nfev: 395
nit: 3
status: 0
success: True
x: array([258.99999928, 1.00000001, 1. ])
xopt: array([258., 2., 1.])
zopt: array([258., 260., 261.])
*******************************************
Period: 29
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.46550321484680834
fun: -0.4675585625638851
message: 'Optimization terminated successfully.'
nfev: 262
nit: 3
status: 0
success: True
x: array([256.99999606, 2.10193575, 2. ])
xopt: array([256., 3., 2.])
zopt: array([256., 259., 261.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzqjftnnc.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp00sspu7z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.09974
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.3842 2.09974
Optimal solution found (tolerance 1.00e-02)
Best objective 3.384202567318e+00, best bound 3.384202567318e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb80qxagt.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu7q3sjkf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.60773
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.810100e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.8101004 1.81010 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.8101 1.60773
Optimal solution found (tolerance 1.00e-02)
Best objective 1.810100360740e+00, best bound 1.810100360740e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9rckssrv.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo57wqffs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.854332
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.109122e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10912 0 6 0.85433 2.10912 147% - 0s
H 0 0 1.7650742 2.10912 19.5% - 0s
0 0 cutoff 0 1.76507 1.76507 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (29 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.76507 0.854332
Optimal solution found (tolerance 1.00e-02)
Best objective 1.765074177859e+00, best bound 1.765074177859e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp713n2y3o.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvcssg26q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21346
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 1.838300e+00, 39 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83830 0 9 1.21346 1.83830 51.5% - 0s
H 0 0 1.4819905 1.83830 24.0% - 0s
H 0 0 1.4925661 1.83830 23.2% - 0s
0 0 cutoff 0 1.49257 1.49257 0.00% - 0s
Cutting planes:
Gomory: 5
MIR: 5
Flow cover: 3
Explored 1 nodes (51 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.49257 1.48199 1.21346
Optimal solution found (tolerance 1.00e-02)
Best objective 1.492566086439e+00, best bound 1.492566086439e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3ogv7fnt.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpju7h67jv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12343
Presolve removed 142 rows and 99 columns
Presolve time: 0.00s
Presolved: 95 rows, 76 columns, 321 nonzeros
Variable types: 37 continuous, 39 integer (34 binary)
Root relaxation: objective 1.650439e+00, 54 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65044 0 4 1.12343 1.65044 46.9% - 0s
H 0 0 1.3171509 1.65044 25.3% - 0s
0 0 1.32829 0 1 1.31715 1.32829 0.85% - 0s
Cutting planes:
Gomory: 3
Flow cover: 4
Explored 1 nodes (84 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.31715 1.12343
Optimal solution found (tolerance 1.00e-02)
Best objective 1.317150876238e+00, best bound 1.328292809348e+00, gap 0.8459%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpst3sx2tz.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpndbv8qo_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.93239
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.714302e+00, 90 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71430 0 5 0.93239 1.71430 83.9% - 0s
H 0 0 1.2952441 1.71430 32.4% - 0s
0 0 1.39139 0 1 1.29524 1.39139 7.42% - 0s
0 0 1.39119 0 4 1.29524 1.39119 7.41% - 0s
0 0 1.35256 0 5 1.29524 1.35256 4.43% - 0s
0 0 1.35256 0 5 1.29524 1.35256 4.43% - 0s
0 0 1.35256 0 2 1.29524 1.35256 4.43% - 0s
0 0 1.35256 0 1 1.29524 1.35256 4.43% - 0s
H 0 0 1.3059710 1.35256 3.57% - 0s
0 0 1.34943 0 4 1.30597 1.34943 3.33% - 0s
0 0 1.34747 0 4 1.30597 1.34747 3.18% - 0s
0 0 1.34569 0 4 1.30597 1.34569 3.04% - 0s
0 0 1.34513 0 4 1.30597 1.34513 3.00% - 0s
0 0 1.34472 0 4 1.30597 1.34472 2.97% - 0s
0 0 1.34408 0 4 1.30597 1.34408 2.92% - 0s
0 0 1.34183 0 4 1.30597 1.34183 2.75% - 0s
0 0 1.34176 0 5 1.30597 1.34176 2.74% - 0s
0 0 1.34176 0 5 1.30597 1.34176 2.74% - 0s
0 0 infeasible 0 1.30597 1.30597 0.00% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
MIR: 2
Flow cover: 3
Explored 1 nodes (184 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.30597 1.29524 0.93239
Optimal solution found (tolerance 1.00e-02)
Best objective 1.305970965995e+00, best bound 1.305970965995e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqo_88po3.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvm95mqg3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0741
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.622878e+00, 118 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62288 0 8 1.07410 1.62288 51.1% - 0s
H 0 0 1.1744090 1.62288 38.2% - 0s
0 0 1.32871 0 4 1.17441 1.32871 13.1% - 0s
H 0 0 1.2253131 1.32871 8.44% - 0s
0 0 1.32107 0 3 1.22531 1.32107 7.82% - 0s
H 0 0 1.2345075 1.32107 7.01% - 0s
0 0 1.31643 0 2 1.23451 1.31643 6.64% - 0s
0 0 1.31474 0 1 1.23451 1.31474 6.50% - 0s
0 0 1.29685 0 3 1.23451 1.29685 5.05% - 0s
0 0 1.29470 0 3 1.23451 1.29470 4.88% - 0s
0 0 1.29441 0 3 1.23451 1.29441 4.85% - 0s
0 0 1.29423 0 3 1.23451 1.29423 4.84% - 0s
0 0 1.29367 0 3 1.23451 1.29367 4.79% - 0s
0 0 1.29285 0 3 1.23451 1.29285 4.73% - 0s
0 0 1.29260 0 3 1.23451 1.29260 4.71% - 0s
Cutting planes:
Gomory: 1
MIR: 1
Flow cover: 1
Explored 1 nodes (240 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.23451 1.22531 1.17441 1.0741
Optimal solution found (tolerance 1.00e-02)
Best objective 1.234507520149e+00, best bound 1.234507520149e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp32zx0eic.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph9b2d_ec.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.951166
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.725123e+00, 134 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72512 0 11 0.95117 1.72512 81.4% - 0s
H 0 0 1.1574548 1.72512 49.0% - 0s
0 0 1.53740 0 18 1.15745 1.53740 32.8% - 0s
0 0 1.42407 0 6 1.15745 1.42407 23.0% - 0s
H 0 0 1.2705400 1.42407 12.1% - 0s
0 0 1.42318 0 6 1.27054 1.42318 12.0% - 0s
0 0 1.42314 0 6 1.27054 1.42314 12.0% - 0s
0 0 1.42253 0 6 1.27054 1.42253 12.0% - 0s
0 0 1.42253 0 6 1.27054 1.42253 12.0% - 0s
H 0 0 1.2785851 1.42253 11.3% - 0s
0 0 1.42238 0 4 1.27859 1.42238 11.2% - 0s
0 0 1.41692 0 3 1.27859 1.41692 10.8% - 0s
0 0 1.34324 0 1 1.27859 1.34324 5.06% - 0s
Cutting planes:
Gomory: 3
MIR: 1
Flow cover: 1
Explored 1 nodes (330 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.27859 1.27054 1.15745 0.951166
Optimal solution found (tolerance 1.00e-02)
Best objective 1.278585146210e+00, best bound 1.278585146210e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpodjw8z5s.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj6v2teyb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05583
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.714549e+00, 148 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71455 0 14 1.05583 1.71455 62.4% - 0s
H 0 0 1.2334838 1.71455 39.0% - 0s
0 0 1.50495 0 21 1.23348 1.50495 22.0% - 0s
0 0 1.44798 0 20 1.23348 1.44798 17.4% - 0s
0 0 1.44793 0 20 1.23348 1.44793 17.4% - 0s
0 0 1.43809 0 11 1.23348 1.43809 16.6% - 0s
0 0 1.43781 0 21 1.23348 1.43781 16.6% - 0s
0 0 1.43487 0 20 1.23348 1.43487 16.3% - 0s
0 0 1.43487 0 20 1.23348 1.43487 16.3% - 0s
0 0 1.43480 0 19 1.23348 1.43480 16.3% - 0s
0 0 1.43480 0 17 1.23348 1.43480 16.3% - 0s
0 2 1.43480 0 17 1.23348 1.43480 16.3% - 0s
* 92 23 10 1.2406351 1.37567 10.9% 4.3 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 4
Clique: 3
MIR: 5
Flow cover: 10
Inf proof: 5
Explored 203 nodes (1101 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.24064 1.23348 1.05583
Optimal solution found (tolerance 1.00e-02)
Best objective 1.240635081531e+00, best bound 1.240635081531e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1jdemob0.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmzebco45.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04633
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.742806e+00, 181 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74281 0 17 1.04633 1.74281 66.6% - 0s
0 0 1.59348 0 21 1.04633 1.59348 52.3% - 0s
0 0 1.56175 0 31 1.04633 1.56175 49.3% - 0s
H 0 0 1.2187370 1.56175 28.1% - 0s
0 0 1.49011 0 16 1.21874 1.49011 22.3% - 0s
0 0 1.48598 0 17 1.21874 1.48598 21.9% - 0s
0 0 1.48536 0 16 1.21874 1.48536 21.9% - 0s
0 0 1.48536 0 16 1.21874 1.48536 21.9% - 0s
H 0 0 1.2207478 1.48536 21.7% - 0s
0 2 1.48536 0 16 1.22075 1.48536 21.7% - 0s
* 73 18 9 1.2597376 1.41340 12.2% 7.2 0s
Cutting planes:
Gomory: 8
Implied bound: 3
MIR: 2
Flow cover: 14
Inf proof: 2
Explored 123 nodes (1145 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.25974 1.22075 1.21874 1.04633
Optimal solution found (tolerance 1.00e-02)
Best objective 1.259737596394e+00, best bound 1.259737596394e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbvbx4una.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptcfp38uh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08819
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.742683e+00, 200 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74268 0 18 1.08819 1.74268 60.1% - 0s
H 0 0 1.2537569 1.74268 39.0% - 0s
0 0 1.58066 0 33 1.25376 1.58066 26.1% - 0s
0 0 1.54485 0 34 1.25376 1.54485 23.2% - 0s
0 0 1.48801 0 35 1.25376 1.48801 18.7% - 0s
0 0 1.48595 0 35 1.25376 1.48595 18.5% - 0s
0 0 1.48475 0 30 1.25376 1.48475 18.4% - 0s
0 0 1.48474 0 30 1.25376 1.48474 18.4% - 0s
0 0 1.48196 0 30 1.25376 1.48196 18.2% - 0s
0 0 1.48006 0 30 1.25376 1.48006 18.1% - 0s
0 0 1.47976 0 29 1.25376 1.47976 18.0% - 0s
0 0 1.47975 0 29 1.25376 1.47975 18.0% - 0s
0 0 1.47974 0 29 1.25376 1.47974 18.0% - 0s
0 0 1.47974 0 29 1.25376 1.47974 18.0% - 0s
0 2 1.47974 0 29 1.25376 1.47974 18.0% - 0s
H 32 8 1.2537569 1.33699 6.64% 7.5 0s
* 47 5 11 1.2596080 1.29360 2.70% 6.2 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 12
MIR: 4
Flow cover: 13
Explored 57 nodes (733 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.25961 1.25376 1.25376 1.08819
Optimal solution found (tolerance 1.00e-02)
Best objective 1.259607952879e+00, best bound 1.259607952879e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy3nenv_r.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf8baiqxe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10348
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.731130e+00, 212 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73113 0 21 1.10348 1.73113 56.9% - 0s
0 0 1.54656 0 35 1.10348 1.54656 40.2% - 0s
0 0 1.52979 0 35 1.10348 1.52979 38.6% - 0s
0 0 1.50208 0 37 1.10348 1.50208 36.1% - 0s
0 0 1.47471 0 32 1.10348 1.47471 33.6% - 0s
0 0 1.47468 0 32 1.10348 1.47468 33.6% - 0s
0 0 1.46905 0 33 1.10348 1.46905 33.1% - 0s
0 0 1.46867 0 32 1.10348 1.46867 33.1% - 0s
0 0 1.46704 0 31 1.10348 1.46704 32.9% - 0s
0 0 1.46659 0 31 1.10348 1.46659 32.9% - 0s
0 0 1.46594 0 32 1.10348 1.46594 32.8% - 0s
0 0 1.46594 0 32 1.10348 1.46594 32.8% - 0s
H 0 0 1.2475299 1.46594 17.5% - 0s
0 2 1.46594 0 32 1.24753 1.46594 17.5% - 0s
H 29 8 1.2475299 1.37745 10.4% 12.2 0s
Cutting planes:
Gomory: 12
Implied bound: 10
Clique: 1
MIR: 4
Flow cover: 17
Inf proof: 1
Explored 69 nodes (1069 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.24753 1.24753 1.10348
Optimal solution found (tolerance 1.00e-02)
Best objective 1.247529884072e+00, best bound 1.256500676396e+00, gap 0.7191%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv3s8m16x.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmponhqb__a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14817
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.597340e+00, 246 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59734 0 22 1.14817 1.59734 39.1% - 0s
0 0 1.38817 0 26 1.14817 1.38817 20.9% - 0s
0 0 1.34867 0 23 1.14817 1.34867 17.5% - 0s
0 0 1.34848 0 28 1.14817 1.34848 17.4% - 0s
0 0 1.34623 0 30 1.14817 1.34623 17.3% - 0s
0 0 1.34582 0 25 1.14817 1.34582 17.2% - 0s
0 0 1.34465 0 25 1.14817 1.34465 17.1% - 0s
0 0 1.34400 0 25 1.14817 1.34400 17.1% - 0s
0 0 1.34400 0 25 1.14817 1.34400 17.1% - 0s
0 2 1.34400 0 25 1.14817 1.34400 17.1% - 0s
Cutting planes:
Gomory: 12
Implied bound: 8
Clique: 3
MIR: 1
Flow cover: 14
Inf proof: 1
Explored 111 nodes (1218 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.14817
Optimal solution found (tolerance 1.00e-02)
Best objective 1.148166824819e+00, best bound 1.157127209103e+00, gap 0.7804%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq5sxogy2.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnjfxsmh8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05958
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.540034e+00, 262 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54003 0 28 1.05958 1.54003 45.3% - 0s
0 0 1.36734 0 34 1.05958 1.36734 29.0% - 0s
0 0 1.35248 0 38 1.05958 1.35248 27.6% - 0s
0 0 1.32635 0 37 1.05958 1.32635 25.2% - 0s
0 0 1.30069 0 33 1.05958 1.30069 22.8% - 0s
0 0 1.29964 0 32 1.05958 1.29964 22.7% - 0s
0 0 1.29902 0 32 1.05958 1.29902 22.6% - 0s
0 0 1.29902 0 32 1.05958 1.29902 22.6% - 0s
0 0 1.29902 0 32 1.05958 1.29902 22.6% - 0s
0 2 1.29902 0 32 1.05958 1.29902 22.6% - 0s
* 237 77 24 1.0600138 1.19927 13.1% 6.6 0s
H 244 60 1.0786751 1.19851 11.1% 6.6 0s
* 326 59 25 1.0796688 1.13739 5.35% 6.4 0s
H 412 43 1.0994303 1.12293 2.14% 5.9 0s
Cutting planes:
Gomory: 13
Cover: 3
Implied bound: 11
Clique: 1
MIR: 4
Flow cover: 24
Inf proof: 2
Explored 483 nodes (3267 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.09943 1.07967 1.07868 ... 1.05958
Optimal solution found (tolerance 1.00e-02)
Best objective 1.099430263759e+00, best bound 1.099430263759e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjzvaewcp.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3y_8v18i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.991425
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.528183e+00, 295 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52818 0 33 0.99142 1.52818 54.1% - 0s
0 0 1.35470 0 22 0.99142 1.35470 36.6% - 0s
0 0 1.33772 0 25 0.99142 1.33772 34.9% - 0s
0 0 1.31640 0 27 0.99142 1.31640 32.8% - 0s
0 0 1.29351 0 28 0.99142 1.29351 30.5% - 0s
0 0 1.29291 0 25 0.99142 1.29291 30.4% - 0s
0 0 1.29246 0 28 0.99142 1.29246 30.4% - 0s
0 0 1.29246 0 26 0.99142 1.29246 30.4% - 0s
0 2 1.29246 0 26 0.99142 1.29246 30.4% - 0s
* 1156 148 26 1.0872497 1.13223 4.14% 6.7 0s
Cutting planes:
Gomory: 15
Cover: 13
Implied bound: 9
Clique: 1
MIR: 3
Flow cover: 26
Inf proof: 25
Explored 1509 nodes (10514 simplex iterations) in 0.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.08725 0.991425
Optimal solution found (tolerance 1.00e-02)
Best objective 1.087249740223e+00, best bound 1.090119897453e+00, gap 0.2640%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7dwu68sk.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphxkgboty.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00274
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.470852e+00, 338 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47085 0 36 1.00274 1.47085 46.7% - 0s
0 0 1.30760 0 26 1.00274 1.30760 30.4% - 0s
0 0 1.29161 0 34 1.00274 1.29161 28.8% - 0s
0 0 1.27180 0 33 1.00274 1.27180 26.8% - 0s
0 0 1.25042 0 30 1.00274 1.25042 24.7% - 0s
0 0 1.25039 0 30 1.00274 1.25039 24.7% - 0s
0 0 1.24850 0 30 1.00274 1.24850 24.5% - 0s
0 0 1.24849 0 30 1.00274 1.24849 24.5% - 0s
0 0 1.24702 0 30 1.00274 1.24702 24.4% - 0s
0 0 1.24581 0 30 1.00274 1.24581 24.2% - 0s
0 0 1.24575 0 30 1.00274 1.24575 24.2% - 0s
0 0 1.24575 0 30 1.00274 1.24575 24.2% - 0s
0 2 1.24575 0 30 1.00274 1.24575 24.2% - 0s
* 400 134 28 1.0282969 1.16443 13.2% 7.8 0s
* 1002 75 30 1.0310823 1.07930 4.68% 7.3 0s
Cutting planes:
Gomory: 16
Cover: 8
Implied bound: 21
Clique: 1
Flow cover: 28
Inf proof: 22
Explored 1243 nodes (9187 simplex iterations) in 0.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.03108 1.0283 1.00274
Optimal solution found (tolerance 1.00e-02)
Best objective 1.031082273332e+00, best bound 1.031082273332e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0okulmvh.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphe3peu78.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.925826
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.483228e+00, 340 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48323 0 39 0.92583 1.48323 60.2% - 0s
0 0 1.32312 0 32 0.92583 1.32312 42.9% - 0s
0 0 1.30119 0 32 0.92583 1.30119 40.5% - 0s
0 0 1.28578 0 34 0.92583 1.28578 38.9% - 0s
0 0 1.26564 0 33 0.92583 1.26564 36.7% - 0s
0 0 1.26464 0 32 0.92583 1.26464 36.6% - 0s
0 0 1.26440 0 32 0.92583 1.26440 36.6% - 0s
0 0 1.26090 0 34 0.92583 1.26090 36.2% - 0s
0 0 1.26063 0 32 0.92583 1.26063 36.2% - 0s
0 0 1.25961 0 34 0.92583 1.25961 36.1% - 0s
0 0 1.25929 0 34 0.92583 1.25929 36.0% - 0s
0 0 1.25753 0 34 0.92583 1.25753 35.8% - 0s
0 0 1.25707 0 35 0.92583 1.25707 35.8% - 0s
0 0 1.25707 0 32 0.92583 1.25707 35.8% - 0s
0 2 1.25707 0 32 0.92583 1.25707 35.8% - 0s
H 848 376 0.9899094 1.12379 13.5% 6.7 0s
H 893 373 0.9899094 1.12379 13.5% 7.6 1s
* 1132 325 42 0.9936010 1.07998 8.69% 7.7 1s
* 1135 302 42 1.0071651 1.07998 7.23% 7.7 1s
* 1179 269 38 1.0187625 1.07998 6.01% 7.8 1s
* 1438 107 36 1.0209157 1.03194 1.08% 7.8 1s
Cutting planes:
Gomory: 32
Cover: 6
Implied bound: 13
Projected implied bound: 13
Clique: 1
MIR: 7
Flow cover: 13
Inf proof: 8
Explored 1460 nodes (12026 simplex iterations) in 1.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.02092 1.01876 1.00717 ... 0.925826
Optimal solution found (tolerance 1.00e-02)
Best objective 1.020915741600e+00, best bound 1.023380352167e+00, gap 0.2414%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgeyq4ppa.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp936ytiu0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929791
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.449585e+00, 380 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44959 0 44 0.92979 1.44959 55.9% - 0s
0 0 1.29322 0 37 0.92979 1.29322 39.1% - 0s
0 0 1.26848 0 43 0.92979 1.26848 36.4% - 0s
0 0 1.25528 0 43 0.92979 1.25528 35.0% - 0s
0 0 1.23546 0 39 0.92979 1.23546 32.9% - 0s
0 0 1.23296 0 39 0.92979 1.23296 32.6% - 0s
0 0 1.23108 0 39 0.92979 1.23108 32.4% - 0s
0 0 1.23106 0 39 0.92979 1.23106 32.4% - 0s
0 0 1.23010 0 35 0.92979 1.23010 32.3% - 0s
0 0 1.22997 0 37 0.92979 1.22997 32.3% - 0s
0 0 1.22771 0 37 0.92979 1.22771 32.0% - 0s
0 0 1.22771 0 37 0.92979 1.22771 32.0% - 0s
0 0 1.22734 0 37 0.92979 1.22734 32.0% - 0s
0 0 1.22734 0 36 0.92979 1.22734 32.0% - 0s
0 2 1.22734 0 36 0.92979 1.22734 32.0% - 0s
* 1512 473 45 0.9583767 1.05451 10.0% 7.9 0s
* 1803 531 55 0.9684094 1.05214 8.65% 8.4 1s
* 2239 291 55 0.9753038 0.99032 1.54% 8.8 2s
* 2265 260 53 0.9767017 0.99022 1.38% 8.7 2s
Cutting planes:
Gomory: 35
Cover: 8
Implied bound: 10
Projected implied bound: 17
Clique: 3
MIR: 5
Flow cover: 31
Inf proof: 7
Explored 2300 nodes (20822 simplex iterations) in 2.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.976702 0.975304 0.968409 ... 0.929791
Optimal solution found (tolerance 1.00e-02)
Best objective 9.767017088619e-01, best bound 9.854467861297e-01, gap 0.8954%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuwtdvep2.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg75i4h_j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.893759
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.427245e+00, 392 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42725 0 49 0.89376 1.42725 59.7% - 0s
0 0 1.26571 0 44 0.89376 1.26571 41.6% - 0s
0 0 1.24831 0 44 0.89376 1.24831 39.7% - 0s
0 0 1.23611 0 47 0.89376 1.23611 38.3% - 0s
0 0 1.21677 0 42 0.89376 1.21677 36.1% - 0s
0 0 1.21669 0 43 0.89376 1.21669 36.1% - 0s
0 0 1.21023 0 47 0.89376 1.21023 35.4% - 0s
0 0 1.21018 0 47 0.89376 1.21018 35.4% - 0s
0 0 1.20804 0 46 0.89376 1.20804 35.2% - 0s
0 0 1.20679 0 46 0.89376 1.20679 35.0% - 0s
0 0 1.20638 0 47 0.89376 1.20638 35.0% - 0s
0 0 1.20638 0 47 0.89376 1.20638 35.0% - 0s
0 0 1.20619 0 47 0.89376 1.20619 35.0% - 0s
0 0 1.20619 0 47 0.89376 1.20619 35.0% - 0s
0 2 1.20619 0 47 0.89376 1.20619 35.0% - 0s
H 798 381 0.9534450 1.09116 14.4% 8.1 0s
* 1087 331 58 0.9535770 1.00418 5.31% 9.6 1s
* 1091 310 57 0.9541205 1.00418 5.25% 9.6 1s
Cutting planes:
Gomory: 41
Cover: 3
Implied bound: 7
Projected implied bound: 16
Clique: 1
MIR: 9
Flow cover: 17
Inf proof: 5
Explored 1425 nodes (13570 simplex iterations) in 1.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.95412 0.953577 0.953445 0.893759
Optimal solution found (tolerance 1.00e-02)
Best objective 9.541204988080e-01, best bound 9.541204988080e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_6bt_n2x.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvodws01i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884465
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.397258e+00, 414 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39726 0 53 0.88446 1.39726 58.0% - 0s
0 0 1.23108 0 45 0.88446 1.23108 39.2% - 0s
0 0 1.21512 0 50 0.88446 1.21512 37.4% - 0s
0 0 1.20494 0 49 0.88446 1.20494 36.2% - 0s
0 0 1.18298 0 44 0.88446 1.18298 33.8% - 0s
0 0 1.18296 0 44 0.88446 1.18296 33.7% - 0s
0 0 1.18112 0 50 0.88446 1.18112 33.5% - 0s
0 0 1.17647 0 58 0.88446 1.17647 33.0% - 0s
0 0 1.17625 0 55 0.88446 1.17625 33.0% - 0s
0 0 1.17624 0 55 0.88446 1.17624 33.0% - 0s
0 0 1.17387 0 53 0.88446 1.17387 32.7% - 0s
0 0 1.17233 0 55 0.88446 1.17233 32.5% - 0s
0 0 1.17233 0 55 0.88446 1.17233 32.5% - 0s
0 0 1.17163 0 55 0.88446 1.17163 32.5% - 0s
0 0 1.17143 0 56 0.88446 1.17143 32.4% - 0s
0 0 1.17138 0 57 0.88446 1.17138 32.4% - 0s
0 0 1.17138 0 55 0.88446 1.17138 32.4% - 0s
0 2 1.17138 0 55 0.88446 1.17138 32.4% - 0s
* 1173 380 63 0.9169446 0.99185 8.17% 11.1 1s
* 1753 178 65 0.9252976 0.94716 2.36% 10.3 2s
* 1836 115 62 0.9255561 0.93931 1.49% 10.2 2s
* 1964 40 60 0.9259525 0.93783 1.28% 9.9 2s
Cutting planes:
Gomory: 53
Implied bound: 12
Projected implied bound: 21
Clique: 2
MIR: 4
Flow cover: 22
Inf proof: 9
Explored 2087 nodes (21294 simplex iterations) in 2.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.925952 0.925556 0.925298 ... 0.884465
Optimal solution found (tolerance 1.00e-02)
Best objective 9.259524628229e-01, best bound 9.330085373017e-01, gap 0.7620%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgf1rn815.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpogzgnb2j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.874534
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.329406e+00, 473 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32941 0 50 0.87453 1.32941 52.0% - 0s
0 0 1.16592 0 44 0.87453 1.16592 33.3% - 0s
0 0 1.15175 0 47 0.87453 1.15175 31.7% - 0s
0 0 1.14060 0 54 0.87453 1.14060 30.4% - 0s
0 0 1.13886 0 46 0.87453 1.13886 30.2% - 0s
0 0 1.11800 0 47 0.87453 1.11800 27.8% - 0s
0 0 1.11661 0 48 0.87453 1.11661 27.7% - 0s
0 0 1.11661 0 48 0.87453 1.11661 27.7% - 0s
0 0 1.11565 0 53 0.87453 1.11565 27.6% - 0s
0 0 1.11565 0 51 0.87453 1.11565 27.6% - 0s
0 2 1.11565 0 51 0.87453 1.11565 27.6% - 0s
Cutting planes:
Gomory: 27
Cover: 19
Implied bound: 43
Clique: 5
MIR: 5
Flow cover: 37
Inf proof: 58
Explored 5769 nodes (44225 simplex iterations) in 3.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.874534
Optimal solution found (tolerance 1.00e-02)
Best objective 8.745342161039e-01, best bound 8.822136868811e-01, gap 0.8781%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_7vc8m3v.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0q96j_ub.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.842815
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.268122e+00, 484 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26812 0 51 0.84281 1.26812 50.5% - 0s
0 0 1.12259 0 45 0.84281 1.12259 33.2% - 0s
0 0 1.10787 0 49 0.84281 1.10787 31.4% - 0s
0 0 1.09824 0 50 0.84281 1.09824 30.3% - 0s
0 0 1.07527 0 46 0.84281 1.07527 27.6% - 0s
0 0 1.07434 0 58 0.84281 1.07434 27.5% - 0s
0 0 1.07434 0 58 0.84281 1.07434 27.5% - 0s
0 0 1.07162 0 61 0.84281 1.07162 27.1% - 0s
0 0 1.07140 0 61 0.84281 1.07140 27.1% - 0s
0 0 1.07063 0 55 0.84281 1.07063 27.0% - 0s
0 0 1.07009 0 55 0.84281 1.07009 27.0% - 0s
0 0 1.06757 0 57 0.84281 1.06757 26.7% - 0s
0 0 1.06757 0 57 0.84281 1.06757 26.7% - 0s
0 0 1.06755 0 56 0.84281 1.06755 26.7% - 0s
0 0 1.06755 0 53 0.84281 1.06755 26.7% - 0s
0 2 1.06755 0 53 0.84281 1.06755 26.7% - 0s
Cutting planes:
Gomory: 40
Cover: 1
Implied bound: 10
Projected implied bound: 21
Clique: 4
MIR: 9
Flow cover: 38
Inf proof: 10
Explored 2559 nodes (24352 simplex iterations) in 2.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.842815
Optimal solution found (tolerance 1.00e-02)
Best objective 8.428145821428e-01, best bound 8.487521969883e-01, gap 0.7045%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxhsn7w0_.pyomo.lp
Reading time = 0.00 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuvuyjqz2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853112
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.269167e+00, 517 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26917 0 55 0.85311 1.26917 48.8% - 0s
0 0 1.22369 0 59 0.85311 1.22369 43.4% - 0s
0 0 1.21085 0 62 0.85311 1.21085 41.9% - 0s
0 0 1.21071 0 62 0.85311 1.21071 41.9% - 0s
0 0 1.19916 0 64 0.85311 1.19916 40.6% - 0s
0 0 1.18377 0 63 0.85311 1.18377 38.8% - 0s
0 0 1.18263 0 64 0.85311 1.18263 38.6% - 0s
0 0 1.18258 0 63 0.85311 1.18258 38.6% - 0s
0 0 1.18258 0 63 0.85311 1.18258 38.6% - 0s
0 0 1.18258 0 62 0.85311 1.18258 38.6% - 0s
0 2 1.18258 0 60 0.85311 1.18258 38.6% - 0s
Cutting planes:
Learned: 1
Gomory: 49
Cover: 3
Implied bound: 13
Projected implied bound: 31
Clique: 2
MIR: 8
Flow cover: 44
Inf proof: 24
Explored 5120 nodes (53920 simplex iterations) in 4.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.853112
Optimal solution found (tolerance 1.00e-02)
Best objective 8.531118133614e-01, best bound 8.600523018947e-01, gap 0.8135%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqf_l7l7k.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphcs5s_fm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.843773
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.240633e+00, 545 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24063 0 58 0.84377 1.24063 47.0% - 0s
0 0 1.11575 0 57 0.84377 1.11575 32.2% - 0s
0 0 1.10607 0 65 0.84377 1.10607 31.1% - 0s
0 0 1.10566 0 63 0.84377 1.10566 31.0% - 0s
0 0 1.10195 0 75 0.84377 1.10195 30.6% - 0s
0 0 1.10194 0 75 0.84377 1.10194 30.6% - 0s
0 0 1.09999 0 77 0.84377 1.09999 30.4% - 0s
0 0 1.09899 0 77 0.84377 1.09899 30.2% - 0s
0 0 1.09815 0 76 0.84377 1.09815 30.1% - 0s
0 0 1.09815 0 76 0.84377 1.09815 30.1% - 0s
0 0 1.08298 0 72 0.84377 1.08298 28.3% - 0s
0 0 1.08290 0 75 0.84377 1.08290 28.3% - 0s
0 0 1.07298 0 75 0.84377 1.07298 27.2% - 0s
0 0 1.07298 0 74 0.84377 1.07298 27.2% - 0s
0 0 1.06994 0 73 0.84377 1.06994 26.8% - 0s
0 0 1.06994 0 73 0.84377 1.06994 26.8% - 0s
0 0 1.06988 0 78 0.84377 1.06988 26.8% - 0s
0 0 1.06988 0 74 0.84377 1.06988 26.8% - 0s
0 2 1.06988 0 70 0.84377 1.06988 26.8% - 0s
Cutting planes:
Gomory: 58
Cover: 4
Implied bound: 13
Projected implied bound: 31
Clique: 3
MIR: 13
Flow cover: 31
Inf proof: 14
Explored 3693 nodes (42080 simplex iterations) in 3.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.843773
Optimal solution found (tolerance 1.00e-02)
Best objective 8.437729103862e-01, best bound 8.517201912845e-01, gap 0.9419%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpovole182.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmfz_1vx1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812847
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.190604e+00, 553 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19060 0 59 0.81285 1.19060 46.5% - 0s
0 0 1.07662 0 59 0.81285 1.07662 32.5% - 0s
0 0 1.06406 0 70 0.81285 1.06406 30.9% - 0s
0 0 1.06363 0 67 0.81285 1.06363 30.9% - 0s
0 0 1.05957 0 71 0.81285 1.05957 30.4% - 0s
0 0 1.05957 0 72 0.81285 1.05957 30.4% - 0s
0 0 1.05746 0 71 0.81285 1.05746 30.1% - 0s
0 0 1.05746 0 71 0.81285 1.05746 30.1% - 0s
0 0 1.05701 0 71 0.81285 1.05701 30.0% - 0s
0 0 1.05701 0 69 0.81285 1.05701 30.0% - 0s
0 2 1.05701 0 69 0.81285 1.05701 30.0% - 0s
* 2975 230 65 0.8130922 0.83276 2.42% 12.4 4s
3171 179 0.81965 53 28 0.81309 0.82910 1.97% 12.3 5s
Cutting planes:
Gomory: 53
Cover: 3
Implied bound: 22
Projected implied bound: 11
Clique: 3
MIR: 8
Flow cover: 41
Inf proof: 16
Explored 3637 nodes (44609 simplex iterations) in 5.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.813092 0.812847
Optimal solution found (tolerance 1.00e-02)
Best objective 8.130922286415e-01, best bound 8.211132013643e-01, gap 0.9865%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg_sftjfx.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoca4w_ix.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.790408
Presolve removed 424 rows and 276 columns
Presolve time: 0.03s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.150386e+00, 586 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15039 0 63 0.79041 1.15039 45.5% - 0s
0 0 1.11278 0 67 0.79041 1.11278 40.8% - 0s
0 0 1.11278 0 67 0.79041 1.11278 40.8% - 0s
0 0 1.09454 0 70 0.79041 1.09454 38.5% - 0s
0 0 1.09435 0 68 0.79041 1.09435 38.5% - 0s
0 0 1.09320 0 76 0.79041 1.09320 38.3% - 0s
0 0 1.09289 0 77 0.79041 1.09289 38.3% - 0s
0 0 1.08212 0 77 0.79041 1.08212 36.9% - 0s
0 0 1.08194 0 80 0.79041 1.08194 36.9% - 0s
0 0 1.07349 0 77 0.79041 1.07349 35.8% - 0s
0 0 1.07349 0 79 0.79041 1.07349 35.8% - 0s
0 0 1.07307 0 83 0.79041 1.07307 35.8% - 0s
0 0 1.07306 0 84 0.79041 1.07306 35.8% - 0s
0 0 1.07302 0 83 0.79041 1.07302 35.8% - 0s
0 0 1.07302 0 74 0.79041 1.07302 35.8% - 0s
0 2 1.07302 0 74 0.79041 1.07302 35.8% - 0s
* 1140 493 80 0.7910265 0.88560 12.0% 14.4 2s
* 3904 442 69 0.7913124 0.81187 2.60% 11.8 4s
4589 452 cutoff 47 0.79131 0.80754 2.05% 11.4 5s
Cutting planes:
Gomory: 49
Cover: 3
Implied bound: 10
Projected implied bound: 7
Clique: 1
MIR: 14
Flow cover: 29
Inf proof: 20
Explored 5581 nodes (62068 simplex iterations) in 5.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.791312 0.791027 0.790408
Optimal solution found (tolerance 1.00e-02)
Best objective 7.913124481541e-01, best bound 7.974062681808e-01, gap 0.7701%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9ok638rk.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6utieu88.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.786908
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.151905e+00, 595 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15191 0 66 0.78691 1.15191 46.4% - 0s
0 0 1.12194 0 72 0.78691 1.12194 42.6% - 0s
0 0 1.10304 0 72 0.78691 1.10304 40.2% - 0s
0 0 1.10160 0 76 0.78691 1.10160 40.0% - 0s
0 0 1.09969 0 75 0.78691 1.09969 39.7% - 0s
0 0 1.09935 0 76 0.78691 1.09935 39.7% - 0s
0 0 1.09903 0 82 0.78691 1.09903 39.7% - 0s
0 0 1.09903 0 79 0.78691 1.09903 39.7% - 0s
0 0 1.09825 0 76 0.78691 1.09825 39.6% - 0s
0 0 1.09825 0 76 0.78691 1.09825 39.6% - 0s
0 0 1.09794 0 76 0.78691 1.09794 39.5% - 0s
0 0 1.09715 0 76 0.78691 1.09715 39.4% - 0s
0 0 1.09715 0 74 0.78691 1.09715 39.4% - 0s
0 2 1.09715 0 74 0.78691 1.09715 39.4% - 0s
H 3739 893 0.7869082 0.84822 7.79% 12.2 3s
H 3748 894 0.7869082 0.84822 7.79% 12.2 3s
5108 1000 cutoff 65 0.78691 0.83859 6.57% 12.0 5s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 7
Clique: 1
MIR: 10
Flow cover: 2
Inf proof: 2
Explored 10583 nodes (113162 simplex iterations) in 8.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.786908 0.786908 0.786908
Optimal solution found (tolerance 1.00e-02)
Best objective 7.869081994255e-01, best bound 7.941039937597e-01, gap 0.9144%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqth7e6f9.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptz4e05p4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.797558
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.152244e+00, 621 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15224 0 75 0.79756 1.15224 44.5% - 0s
0 0 1.06264 0 69 0.79756 1.06264 33.2% - 0s
0 0 1.03911 0 80 0.79756 1.03911 30.3% - 0s
0 0 1.03811 0 88 0.79756 1.03811 30.2% - 0s
0 0 1.03541 0 89 0.79756 1.03541 29.8% - 0s
0 0 1.03506 0 86 0.79756 1.03506 29.8% - 0s
0 0 1.03321 0 86 0.79756 1.03321 29.5% - 0s
0 0 1.03258 0 88 0.79756 1.03258 29.5% - 0s
0 0 1.03132 0 88 0.79756 1.03132 29.3% - 0s
0 0 1.03082 0 91 0.79756 1.03082 29.2% - 0s
0 0 1.03066 0 88 0.79756 1.03066 29.2% - 0s
0 0 1.03066 0 82 0.79756 1.03066 29.2% - 0s
0 2 1.03066 0 82 0.79756 1.03066 29.2% - 0s
2784 581 0.81679 33 62 0.79756 0.89172 11.8% 19.8 5s
6667 940 0.82886 44 62 0.79756 0.83638 4.87% 20.5 10s
H 9395 1300 0.7975577 0.82608 3.58% 19.1 12s
11787 1049 0.81818 66 22 0.79756 0.81846 2.62% 18.3 15s
Cutting planes:
Gomory: 79
Cover: 6
Implied bound: 26
Projected implied bound: 31
Clique: 3
MIR: 13
Flow cover: 61
Inf proof: 78
Zero half: 1
Explored 15015 nodes (254553 simplex iterations) in 17.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.797558 0.797558
Optimal solution found (tolerance 1.00e-02)
Best objective 7.975576759830e-01, best bound 8.050025509890e-01, gap 0.9335%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp84o4l0ee.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfm_dksrt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.801781
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.148789e+00, 643 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14879 0 78 0.80178 1.14879 43.3% - 0s
0 0 1.11256 0 81 0.80178 1.11256 38.8% - 0s
0 0 1.11252 0 80 0.80178 1.11252 38.8% - 0s
0 0 1.07915 0 78 0.80178 1.07915 34.6% - 0s
0 0 1.07863 0 75 0.80178 1.07863 34.5% - 0s
0 0 1.07818 0 83 0.80178 1.07818 34.5% - 0s
0 0 1.07816 0 82 0.80178 1.07816 34.5% - 0s
0 0 1.07805 0 83 0.80178 1.07805 34.5% - 0s
0 0 1.07805 0 81 0.80178 1.07805 34.5% - 0s
0 0 1.07792 0 81 0.80178 1.07792 34.4% - 0s
0 0 1.07792 0 75 0.80178 1.07792 34.4% - 0s
0 2 1.07792 0 75 0.80178 1.07792 34.4% - 0s
2628 595 cutoff 41 0.80178 0.89872 12.1% 22.7 5s
6355 850 0.83100 51 49 0.80178 0.84875 5.86% 22.0 10s
11312 1175 cutoff 52 0.80178 0.82298 2.64% 19.5 15s
Cutting planes:
Learned: 1
Gomory: 64
Cover: 5
Implied bound: 41
Projected implied bound: 37
Clique: 1
MIR: 26
Flow cover: 63
Inf proof: 71
Explored 14976 nodes (266475 simplex iterations) in 18.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.801781
Optimal solution found (tolerance 1.00e-02)
Best objective 8.017807499453e-01, best bound 8.089548473865e-01, gap 0.8948%
Run 5
Seed for training 685
Seed for simulation 315
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.76789882e-02, 0.00000000e+00, -2.76633980e-04]])
fopt: 0.568465136244395
fun: -0.5693569890177848
message: 'Optimization terminated successfully.'
nfev: 206
nit: 2
status: 0
success: True
x: array([198.98287692, 1. , -0.99999986])
xopt: array([199., 1., 0.])
zopt: array([199., 200., 200.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgm0m9dj2.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3224vmbq.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.568465
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.269859e+00, 701 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26986 0 76 0.56847 1.26986 123% - 0s
0 0 1.15740 0 73 0.56847 1.15740 104% - 0s
0 0 1.15739 0 77 0.56847 1.15739 104% - 0s
0 0 1.14299 0 89 0.56847 1.14299 101% - 0s
0 0 1.14290 0 91 0.56847 1.14290 101% - 0s
0 0 1.14238 0 100 0.56847 1.14238 101% - 0s
0 0 1.14238 0 87 0.56847 1.14238 101% - 0s
0 2 1.14238 0 87 0.56847 1.14238 101% - 0s
* 1206 674 82 0.5840141 1.07955 84.9% 15.8 2s
2470 842 0.91454 40 68 0.58401 1.07576 84.2% 19.5 5s
* 5848 1915 83 0.7070446 1.04944 48.4% 20.7 9s
5975 1955 0.97474 36 67 0.70704 1.04944 48.4% 20.7 10s
* 8510 2597 92 0.7401289 1.04171 40.7% 21.3 13s
9090 2836 0.94081 48 55 0.74013 1.03979 40.5% 21.6 15s
12776 4148 0.91066 40 81 0.74013 1.02985 39.1% 22.1 20s
*12884 4179 101 0.7404732 1.02978 39.1% 22.1 20s
*12895 4164 99 0.7428144 1.02978 38.6% 22.0 20s
H14510 3366 0.8419657 1.02400 21.6% 22.5 25s
17904 4225 1.00516 22 109 0.84197 1.01184 20.2% 22.4 30s
H20627 2134 0.9400399 1.00395 6.80% 22.7 42s
20644 2140 0.97866 32 123 0.94004 1.00395 6.80% 22.7 45s
20657 2148 0.95784 45 138 0.94004 1.00395 6.80% 22.6 50s
20666 2154 0.97469 43 150 0.94004 1.00395 6.80% 22.6 55s
20674 2160 0.94714 31 140 0.94004 1.00395 6.80% 22.6 60s
20684 2166 0.98821 29 149 0.94004 1.00395 6.80% 22.6 65s
20695 2174 0.98581 34 141 0.94004 1.00395 6.80% 22.6 70s
20706 2181 0.97428 35 140 0.94004 1.00395 6.80% 22.6 75s
20716 2190 1.00395 27 132 0.94004 1.00395 6.80% 23.1 81s
20723 2187 infeasible 30 0.94004 1.00395 6.80% 23.1 85s
H20853 2106 0.9405334 1.00395 6.74% 23.4 87s
H20856 2001 0.9405334 1.00395 6.74% 23.5 87s
H20954 1912 0.9410106 1.00395 6.69% 23.5 88s
H21032 1814 0.9410106 1.00395 6.69% 23.6 89s
21089 1820 0.96193 37 126 0.94101 1.00395 6.69% 23.7 90s
21950 1744 0.94564 44 99 0.94101 0.99322 5.55% 25.5 95s
22551 1612 0.98428 57 83 0.94101 0.98636 4.82% 27.3 100s
24044 1424 0.94481 43 113 0.94101 0.97741 3.87% 28.8 105s
*24950 1226 110 0.9418528 0.97311 3.32% 29.7 108s
25388 1185 cutoff 49 0.94185 0.97107 3.10% 30.0 110s
H25862 901 0.9480924 0.96931 2.24% 30.3 112s
26570 897 0.95362 47 89 0.94809 0.96711 2.01% 30.8 115s
28414 987 0.96261 76 48 0.94809 0.96261 1.53% 31.2 120s
*29381 767 101 0.9505130 0.95915 0.91% 31.1 122s
30770 0 cutoff 76 0.95051 0.95132 0.09% 30.9 125s
Cutting planes:
Gomory: 145
Cover: 6
Implied bound: 24
Projected implied bound: 44
MIR: 112
StrongCG: 2
Flow cover: 421
Inf proof: 88
Explored 30857 nodes (952327 simplex iterations) in 125.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.950513 0.948092 0.941853 ... 0.742814
Optimal solution found (tolerance 0.00e+00)
Best objective 9.505129627016e-01, best bound 9.505129627016e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj8ogc8sw.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkccxzhr3.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 466 rows and 333 columns
Presolve time: 0.00s
Presolved: 165 rows, 208 columns, 825 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.7473178e+01 4.110000e+02 0.000000e+00 0s
97 1.8807673e+01 0.000000e+00 0.000000e+00 0s
Solved in 97 iterations and 0.01 seconds
Optimal objective 1.880767348e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.13197123e-07, -1.07040399e-08, -4.81605806e-07]])
fopt: 3.3842025673175256
fun: -3.393988820859654
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([ 22.15035505, -1. , -87.99580146])
xopt: array([22., 0., 0.])
zopt: array([22., 22., 22.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.33916171e-03, -1.37258613e-02, -3.01507411e-04]])
fopt: 1.9307255022384224
fun: -1.9458104724133851
message: 'Optimization terminated successfully.'
nfev: 143
nit: 2
status: 0
success: True
x: array([ 36.00851942, -87.99953714, -0.99882508])
xopt: array([36., 0., 0.])
zopt: array([36., 36., 36.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.16823019, 0.27946165, 0.00511629]])
fopt: 2.0420997290058347
fun: -2.059466029494031
message: 'Optimization terminated successfully.'
nfev: 192
nit: 3
status: 0
success: True
x: array([ 55.00082534, -86.84318887, -0.99997042])
xopt: array([55., 0., 0.])
zopt: array([55., 55., 55.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.39218972, -0.01169277, -0.52951505]])
fopt: 1.5370983657780837
fun: -1.5500629374072912
message: 'Optimization terminated successfully.'
nfev: 313
nit: 3
status: 0
success: True
x: array([ 68.04092078, -0.99876295, -85.9755242 ])
xopt: array([68., 0., 0.])
zopt: array([68., 68., 68.])
*******************************************
Period: 5
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.266473869925662
fun: -1.2747188273178858
message: 'Optimization terminated successfully.'
nfev: 206
nit: 2
status: 0
success: True
x: array([94.00844479, 1.01047828, 2. ])
xopt: array([94., 1., 2.])
zopt: array([94., 95., 97.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1528
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1473
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0406175178673216
fun: -1.0448814866627265
message: 'Optimization terminated successfully.'
nfev: 296
nit: 3
status: 0
success: True
x: array([160.29774183, -0.29722552, 1. ])
xopt: array([160., 0., 1.])
zopt: array([160., 160., 161.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.9224564283663854
fun: -0.9268264190095049
message: 'Optimization terminated successfully.'
nfev: 183
nit: 3
status: 0
success: True
x: array([ 1.59000004e+02, 1.09737247e+00, -1.41320760e-01])
xopt: array([159., 1., 0.])
zopt: array([159., 160., 160.])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[44.41946722, 0.39448773, -0.7838748 ]])
fopt: 0.8212354173448573
fun: -0.8240248654579454
message: 'Optimization terminated successfully.'
nfev: 282
nit: 3
status: 0
success: True
x: array([158.01984524, 2.46605096, -0.83715968])
xopt: array([158., 2., 0.])
zopt: array([158., 160., 160.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[44.7270275 , 0.39721916, 1.65462978]])
fopt: 0.9288311585051381
fun: -0.9285686742988478
message: 'Optimization terminated successfully.'
nfev: 407
nit: 4
status: 0
success: True
x: array([158.33563007, 2.16122403, 23.57819783])
xopt: array([158., 2., 23.])
zopt: array([158., 160., 183.])
*******************************************
Period: 12
direc: array([[5.41909763e-06, 6.32257518e-16, 6.98601464e-08],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.90469299e-04, 2.29251408e-14, 3.40710688e+01]])
fopt: 0.9063594902877277
fun: -0.9059414620557373
message: 'Optimization terminated successfully.'
nfev: 416
nit: 4
status: 0
success: True
x: array([158.84576604, 1.00000002, 38.000887 ])
xopt: array([158., 2., 38.])
zopt: array([158., 160., 198.])
*******************************************
Period: 13
direc: array([[-2.92585237e-02, -2.93091054e-06, -5.10036433e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.16557901e-03, -2.49537587e-04, -3.07764254e-01]])
fopt: 0.9313420675904972
fun: -0.9319731824566064
message: 'Optimization terminated successfully.'
nfev: 381
nit: 4
status: 0
success: True
x: array([158.99451357, 1.0557347 , 53.00196832])
xopt: array([158., 2., 53.])
zopt: array([158., 160., 213.])
*******************************************
Period: 14
direc: array([[ 9.24625311e-06, 5.86908904e-08, 1.17381782e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.59330695e-06, -1.83314046e-08, -4.11381352e-01]])
fopt: 0.9280663227997946
fun: -0.9267690748629236
message: 'Optimization terminated successfully.'
nfev: 521
nit: 5
status: 0
success: True
x: array([158.54210511, 2.0000029 , 68.02355569])
xopt: array([158., 2., 68.])
zopt: array([158., 160., 228.])
*******************************************
Period: 15
direc: array([[ 4.71165183e-03, -3.11163695e-05, 2.96250613e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.86909032e-01, 7.10495758e-02, 7.93232749e+01]])
fopt: 0.8804946061392076
fun: -0.8791076189719659
message: 'Optimization terminated successfully.'
nfev: 503
nit: 5
status: 0
success: True
x: array([1.59684449e+02, 2.58505815e-02, 8.30094041e+01])
xopt: array([159., 1., 83.])
zopt: array([159., 160., 243.])
*******************************************
Period: 16
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.27519421e-06, 3.32172164e-02],
[ 0.00000000e+00, -2.16168173e-02, 0.00000000e+00]])
fopt: 0.9061418060722162
fun: -0.9039142699903415
message: 'Optimization terminated successfully.'
nfev: 522
nit: 6
status: 0
success: True
x: array([159.86990043, 1.04592366, 104.47587284])
xopt: array([159., 1., 104.])
zopt: array([159., 160., 264.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, -5.18661877e-03, 1.26947722e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.34875893e-05, 7.58809830e-06, -5.36082905e-02]])
fopt: 0.9074444778390586
fun: -0.9060549023196518
message: 'Optimization terminated successfully.'
nfev: 625
nit: 8
status: 0
success: True
x: array([1.59999996e+02, 1.15367238e-07, 1.23000000e+02])
xopt: array([159., 1., 123.])
zopt: array([159., 160., 283.])
*******************************************
Period: 18
direc: array([[ 6.58663219e-08, 1.02917017e-11, 8.98295469e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.04568563e-06, -2.05879471e-01, 1.18323545e+02]])
fopt: 0.8470811319675021
fun: -0.8482007449769137
message: 'Optimization terminated successfully.'
nfev: 461
nit: 5
status: 0
success: True
x: array([1.59999716e+02, 1.67436531e-03, 1.24001016e+02])
xopt: array([159., 1., 124.])
zopt: array([159., 160., 284.])
*******************************************
Period: 19
direc: array([[-2.38508236e-07, -2.89429527e-12, -3.43330973e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.39406856e-08, 7.32087113e-01, 1.48884425e+02]])
fopt: 0.7823078360929957
fun: -0.782104842277699
message: 'Optimization terminated successfully.'
nfev: 452
nit: 5
status: 0
success: True
x: array([159.02065401, 1.00773534, 160.12217239])
xopt: array([159., 2., 161.])
zopt: array([159., 161., 322.])
*******************************************
Period: 20
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.05489552e-11, 4.74747065e-01]])
fopt: 0.7420043949231501
fun: -0.7435800896273682
message: 'Optimization terminated successfully.'
nfev: 632
nit: 7
status: 0
success: True
x: array([159.17459027, 1.0000024 , 123.00855111])
xopt: array([159., 1., 123.])
zopt: array([159., 160., 283.])
*******************************************
Period: 21
direc: array([[ 4.44388813e+01, 3.94325408e-01, 8.00621670e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.59703269e-04, -4.44169337e-08, -6.03917098e-04]])
fopt: 0.6867432885893271
fun: -0.6874055800511554
message: 'Optimization terminated successfully.'
nfev: 334
nit: 3
status: 0
success: True
x: array([158.13468376, 2.01235937, 171.07515676])
xopt: array([158., 2., 171.])
zopt: array([158., 160., 331.])
*******************************************
Period: 22
direc: array([[2.97328133e-04, 1.88645184e-06, 3.77578067e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.45428951e-02, 2.19163613e-04, 1.20074834e+02]])
fopt: 0.7258652709657724
fun: -0.7254760648532766
message: 'Optimization terminated successfully.'
nfev: 759
nit: 7
status: 0
success: True
x: array([158.61659606, 2.00000161, 123.39123308])
xopt: array([158., 2., 123.])
zopt: array([158., 160., 283.])
*******************************************
Period: 23
direc: array([[ 9.14833080e+01, 0.00000000e+00, 1.37141512e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.52002068e-02, 8.59805912e-04, -9.38638664e-02]])
fopt: 0.7183521313636511
fun: -0.714925777900752
message: 'Optimization terminated successfully.'
nfev: 506
nit: 6
status: 0
success: True
x: array([ 1.59991241e+02, -6.66534129e-02, 1.22462148e+02])
xopt: array([160., 0., 123.])
zopt: array([160., 160., 283.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[45.5725405, 0. , 0.4062076]])
fopt: 0.7215209780572744
fun: -0.7224834485473608
message: 'Optimization terminated successfully.'
nfev: 382
nit: 5
status: 0
success: True
x: array([158.00224568, 3.00002525, 161.00204234])
xopt: array([158., 3., 161.])
zopt: array([158., 161., 322.])
*******************************************
Period: 25
direc: array([[-4.71654432e-01, -0.00000000e+00, -6.00480527e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.64567742e-08, -0.00000000e+00, -3.46820746e-08]])
fopt: 0.41702136743517787
fun: -0.415702115540108
message: 'Optimization terminated successfully.'
nfev: 411
nit: 3
status: 0
success: True
x: array([159.00846399, 1. , 4.01166357])
xopt: array([159., 1., 5.])
zopt: array([159., 160., 165.])
*******************************************
Period: 26
direc: array([[-4.64705842e-03, -0.00000000e+00, -6.03395716e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.84474209e-01, 4.79850540e-06, 1.22377863e+02]])
fopt: 0.7088047354857142
fun: -0.7083445638316567
message: 'Optimization terminated successfully.'
nfev: 544
nit: 5
status: 0
success: True
x: array([159.59689175, 1.00119095, 123.06171916])
xopt: array([159., 1., 123.])
zopt: array([159., 160., 283.])
*******************************************
Period: 27
direc: array([[ 4.54184739e+01, 0.00000000e+00, 8.10242038e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.02415468e-01, -6.94533686e-05, -5.37994385e-01]])
fopt: 0.713592089220167
fun: -0.7128172530957225
message: 'Optimization terminated successfully.'
nfev: 406
nit: 4
status: 0
success: True
x: array([158.9999805 , 1.01044871, 123.18977333])
xopt: array([158., 2., 123.])
zopt: array([158., 160., 283.])
*******************************************
Period: 28
direc: array([[-2.35833526e-03, -0.00000000e+00, -2.98102754e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.31477091e-03, 9.55209612e-08, 1.21800819e+00]])
fopt: 0.711243739238939
fun: -0.7119201620611977
message: 'Optimization terminated successfully.'
nfev: 538
nit: 6
status: 0
success: True
x: array([159.00126956, 1.00001232, 160.08100621])
xopt: array([159., 1., 160.])
zopt: array([159., 160., 320.])
*******************************************
Period: 29
direc: array([[-1.45109190e-03, -0.00000000e+00, -1.84670653e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.23204789e-01, 1.19752853e-05, 1.52833355e+02]])
fopt: 0.6910019900057225
fun: -0.6913968367469505
message: 'Optimization terminated successfully.'
nfev: 515
nit: 5
status: 0
success: True
x: array([159.0001024 , 1.02608006, 160.15447963])
xopt: array([159., 1., 160.])
zopt: array([159., 160., 320.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjgu87esa.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_oo2_al3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.09974
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.3842 2.09974
Optimal solution found (tolerance 1.00e-02)
Best objective 3.384202567318e+00, best bound 3.384202567318e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpywtddprr.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6osiisqs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.45914
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.930726e+00, 4 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.9307255 1.93073 0.00% - 0s
Explored 0 nodes (4 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.93073 1.45914
Optimal solution found (tolerance 1.00e-02)
Best objective 1.930725502238e+00, best bound 1.930725502238e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgh6gdfml.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk42_w_m9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03918
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.369810e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.36981 0 6 1.03918 2.36981 128% - 0s
H 0 0 1.2672140 2.36981 87.0% - 0s
H 0 0 2.0420997 2.36981 16.0% - 0s
0 0 2.14946 0 1 2.04210 2.14946 5.26% - 0s
Cutting planes:
Gomory: 3
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 2.0421 1.26721 1.03918
Optimal solution found (tolerance 1.00e-02)
Best objective 2.042099729006e+00, best bound 2.042099729006e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe2brv961.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpddx6ub3p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.46476
Presolve removed 130 rows and 92 columns
Presolve time: 0.00s
Presolved: 61 rows, 50 columns, 206 nonzeros
Variable types: 23 continuous, 27 integer (22 binary)
Root relaxation: objective 1.675923e+00, 35 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67592 0 8 1.46476 1.67592 14.4% - 0s
H 0 0 1.5370984 1.67592 9.03% - 0s
0 0 cutoff 0 1.53710 1.53710 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 2
Explored 1 nodes (42 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.5371 1.46476
Optimal solution found (tolerance 1.00e-02)
Best objective 1.537098365778e+00, best bound 1.537098365778e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph32cf1do.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppz6_8koq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18829
Presolve removed 142 rows and 99 columns
Presolve time: 0.00s
Presolved: 95 rows, 76 columns, 321 nonzeros
Variable types: 37 continuous, 39 integer (34 binary)
Root relaxation: objective 1.646685e+00, 59 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64668 0 4 1.18829 1.64668 38.6% - 0s
H 0 0 1.2602233 1.64668 30.7% - 0s
H 0 0 1.3760857 1.64668 19.7% - 0s
0 0 1.44050 0 1 1.37609 1.44050 4.68% - 0s
H 0 0 1.3760857 1.44050 4.68% - 0s
0 0 cutoff 0 1.37609 1.37609 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 3
Explored 1 nodes (81 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.37609 1.37609 1.26022 1.18829
Optimal solution found (tolerance 1.00e-02)
Best objective 1.376085689174e+00, best bound 1.376085689174e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxursixwt.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpumgsshmy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.950938
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.814369e+00, 85 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81437 0 6 0.95094 1.81437 90.8% - 0s
H 0 0 1.2815185 1.81437 41.6% - 0s
0 0 1.54298 0 4 1.28152 1.54298 20.4% - 0s
0 0 1.54298 0 4 1.28152 1.54298 20.4% - 0s
H 0 0 1.4008608 1.54298 10.1% - 0s
0 0 1.52472 0 2 1.40086 1.52472 8.84% - 0s
0 0 1.52190 0 1 1.40086 1.52190 8.64% - 0s
0 0 1.52190 0 1 1.40086 1.52190 8.64% - 0s
0 0 1.52190 0 1 1.40086 1.52190 8.64% - 0s
0 2 1.52190 0 1 1.40086 1.52190 8.64% - 0s
Cutting planes:
Gomory: 1
Flow cover: 1
Explored 3 nodes (169 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.40086 1.28152 0.950938
Optimal solution found (tolerance 1.00e-02)
Best objective 1.400860835897e+00, best bound 1.400860835897e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp19vj28gh.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9k0geh3i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15135
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.692008e+00, 109 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69201 0 8 1.15135 1.69201 47.0% - 0s
H 0 0 1.2339946 1.69201 37.1% - 0s
0 0 1.45835 0 10 1.23399 1.45835 18.2% - 0s
0 0 1.45820 0 13 1.23399 1.45820 18.2% - 0s
0 0 1.41911 0 5 1.23399 1.41911 15.0% - 0s
0 0 1.41911 0 5 1.23399 1.41911 15.0% - 0s
H 0 0 1.2721925 1.41911 11.5% - 0s
0 0 1.41156 0 3 1.27219 1.41156 11.0% - 0s
0 0 1.38419 0 1 1.27219 1.38419 8.80% - 0s
0 0 1.38419 0 1 1.27219 1.38419 8.80% - 0s
0 0 cutoff 0 1.27219 1.27219 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 3
Explored 1 nodes (237 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.27219 1.23399 1.15135
Optimal solution found (tolerance 1.00e-02)
Best objective 1.272192533963e+00, best bound 1.272192533963e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5z7grc39.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3gokcb8s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.978586
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.778774e+00, 159 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77877 0 10 0.97859 1.77877 81.8% - 0s
0 0 1.56322 0 15 0.97859 1.56322 59.7% - 0s
H 0 0 1.0635407 1.56322 47.0% - 0s
0 0 1.56308 0 16 1.06354 1.56308 47.0% - 0s
0 0 1.55956 0 18 1.06354 1.55956 46.6% - 0s
0 0 1.55907 0 21 1.06354 1.55907 46.6% - 0s
0 0 1.55821 0 23 1.06354 1.55821 46.5% - 0s
0 0 1.55809 0 24 1.06354 1.55809 46.5% - 0s
0 0 1.55808 0 24 1.06354 1.55808 46.5% - 0s
0 0 1.55805 0 24 1.06354 1.55805 46.5% - 0s
0 0 1.55805 0 24 1.06354 1.55805 46.5% - 0s
H 0 0 1.1412000 1.55805 36.5% - 0s
0 2 1.51895 0 15 1.14120 1.51895 33.1% - 0s
* 39 12 11 1.2732492 1.43998 13.1% 7.4 0s
Cutting planes:
Gomory: 4
Implied bound: 13
MIR: 1
Flow cover: 19
Inf proof: 1
Explored 61 nodes (658 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.27325 1.1412 1.06354 0.978586
Optimal solution found (tolerance 1.00e-02)
Best objective 1.273249220735e+00, best bound 1.273249220735e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyizowmcj.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcvh6mprv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12564
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.579388e+00, 151 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57939 0 11 1.12564 1.57939 40.3% - 0s
0 0 1.34579 0 14 1.12564 1.34579 19.6% - 0s
0 0 1.34461 0 11 1.12564 1.34461 19.5% - 0s
0 0 1.34461 0 13 1.12564 1.34461 19.5% - 0s
0 0 1.34205 0 20 1.12564 1.34205 19.2% - 0s
0 0 1.34157 0 20 1.12564 1.34157 19.2% - 0s
0 0 1.34020 0 14 1.12564 1.34020 19.1% - 0s
0 0 1.34020 0 16 1.12564 1.34020 19.1% - 0s
0 0 1.34020 0 16 1.12564 1.34020 19.1% - 0s
0 0 1.34020 0 16 1.12564 1.34020 19.1% - 0s
0 2 1.34020 0 16 1.12564 1.34020 19.1% - 0s
Cutting planes:
Gomory: 8
Implied bound: 4
MIR: 6
Flow cover: 15
Explored 57 nodes (641 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.12564
Optimal solution found (tolerance 1.00e-02)
Best objective 1.125636339308e+00, best bound 1.125636339308e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwe7kmtog.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3vzcpw1b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00152
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.603068e+00, 173 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60307 0 17 1.00152 1.60307 60.1% - 0s
0 0 1.42316 0 24 1.00152 1.42316 42.1% - 0s
0 0 1.41083 0 26 1.00152 1.41083 40.9% - 0s
0 0 1.41077 0 27 1.00152 1.41077 40.9% - 0s
0 0 1.41032 0 29 1.00152 1.41032 40.8% - 0s
0 0 1.41032 0 29 1.00152 1.41032 40.8% - 0s
0 2 1.41032 0 29 1.00152 1.41032 40.8% - 0s
H 66 16 1.0572281 1.28188 21.2% 5.9 0s
Cutting planes:
Gomory: 8
Implied bound: 9
MIR: 2
Flow cover: 11
Explored 175 nodes (1143 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.05723 1.00152
Optimal solution found (tolerance 1.00e-02)
Best objective 1.057228060733e+00, best bound 1.057228060733e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgjpce1_1.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdhxww54w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910451
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.646494e+00, 186 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64649 0 19 0.91045 1.64649 80.8% - 0s
0 0 1.47088 0 15 0.91045 1.47088 61.6% - 0s
0 0 1.46944 0 18 0.91045 1.46944 61.4% - 0s
0 0 1.46916 0 19 0.91045 1.46916 61.4% - 0s
0 0 1.46734 0 20 0.91045 1.46734 61.2% - 0s
0 0 1.46733 0 21 0.91045 1.46733 61.2% - 0s
0 0 1.46684 0 21 0.91045 1.46684 61.1% - 0s
0 0 1.46684 0 21 0.91045 1.46684 61.1% - 0s
0 0 1.46684 0 21 0.91045 1.46684 61.1% - 0s
0 2 1.46684 0 21 0.91045 1.46684 61.1% - 0s
* 90 25 20 1.1098072 1.34934 21.6% 7.1 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 9
MIR: 1
Flow cover: 15
Inf proof: 1
Explored 231 nodes (1905 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.10981 0.910451
Optimal solution found (tolerance 1.00e-02)
Best objective 1.109807233921e+00, best bound 1.109807233921e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdldoqqes.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplpy8r7w5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95258
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.641408e+00, 234 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64141 0 21 0.95258 1.64141 72.3% - 0s
0 0 1.46491 0 16 0.95258 1.46491 53.8% - 0s
0 0 1.44999 0 18 0.95258 1.44999 52.2% - 0s
0 0 1.44970 0 20 0.95258 1.44970 52.2% - 0s
0 0 1.44969 0 22 0.95258 1.44969 52.2% - 0s
0 0 1.44953 0 22 0.95258 1.44953 52.2% - 0s
0 0 1.44953 0 22 0.95258 1.44953 52.2% - 0s
0 2 1.44953 0 22 0.95258 1.44953 52.2% - 0s
* 398 25 21 1.0572592 1.15968 9.69% 6.7 0s
* 399 25 21 1.0597186 1.15968 9.43% 6.6 0s
* 426 0 20 1.0860964 1.15538 6.38% 6.5 0s
* 427 0 20 1.0885558 1.15538 6.14% 6.5 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 15
MIR: 1
Flow cover: 22
Inf proof: 5
Explored 491 nodes (3483 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.08856 1.0861 1.05972 ... 0.95258
Optimal solution found (tolerance 1.00e-02)
Best objective 1.088555834414e+00, best bound 1.088555834414e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzdl3erar.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplhh711np.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960634
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.636036e+00, 249 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63604 0 24 0.96063 1.63604 70.3% - 0s
0 0 1.48013 0 18 0.96063 1.48013 54.1% - 0s
0 0 1.47904 0 21 0.96063 1.47904 54.0% - 0s
0 0 1.47900 0 22 0.96063 1.47900 54.0% - 0s
0 0 1.47737 0 21 0.96063 1.47737 53.8% - 0s
0 0 1.47736 0 22 0.96063 1.47736 53.8% - 0s
0 0 1.47698 0 22 0.96063 1.47698 53.8% - 0s
0 0 1.47698 0 22 0.96063 1.47698 53.8% - 0s
0 2 1.47698 0 22 0.96063 1.47698 53.8% - 0s
* 352 104 29 1.0652350 1.37475 29.1% 7.7 0s
* 529 93 27 1.0918540 1.34929 23.6% 7.7 0s
Cutting planes:
Gomory: 8
Cover: 4
Implied bound: 19
MIR: 1
Flow cover: 23
Inf proof: 12
Explored 847 nodes (6877 simplex iterations) in 0.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.09185 1.06524 0.960634
Optimal solution found (tolerance 1.00e-02)
Best objective 1.091853964970e+00, best bound 1.091853964970e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpca5ljqsq.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplxve66k2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.968222
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.639986e+00, 270 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63999 0 26 0.96822 1.63999 69.4% - 0s
0 0 1.47756 0 26 0.96822 1.47756 52.6% - 0s
0 0 1.47617 0 26 0.96822 1.47617 52.5% - 0s
0 0 1.47034 0 31 0.96822 1.47034 51.9% - 0s
0 0 1.47007 0 32 0.96822 1.47007 51.8% - 0s
0 0 1.46745 0 36 0.96822 1.46745 51.6% - 0s
0 0 1.46726 0 34 0.96822 1.46726 51.5% - 0s
0 0 1.46704 0 35 0.96822 1.46704 51.5% - 0s
0 0 1.46654 0 37 0.96822 1.46654 51.5% - 0s
0 0 1.46512 0 35 0.96822 1.46512 51.3% - 0s
0 0 1.46512 0 35 0.96822 1.46512 51.3% - 0s
0 0 1.46512 0 31 0.96822 1.46512 51.3% - 0s
0 2 1.46512 0 31 0.96822 1.46512 51.3% - 0s
* 1102 330 34 0.9905809 1.21710 22.9% 6.4 0s
* 1531 333 27 1.0218970 1.19052 16.5% 7.1 0s
* 1563 284 36 1.0489124 1.18782 13.2% 7.0 0s
* 1565 262 35 1.0599214 1.18782 12.1% 7.0 0s
* 1992 82 31 1.0785487 1.10330 2.30% 7.3 1s
* 2038 0 30 1.0901750 1.09277 0.24% 7.3 1s
Cutting planes:
Gomory: 10
Cover: 18
Implied bound: 31
MIR: 7
Flow cover: 32
Inf proof: 22
Explored 2052 nodes (15424 simplex iterations) in 1.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.09018 1.07855 1.05992 ... 0.968222
Optimal solution found (tolerance 1.00e-02)
Best objective 1.090175012412e+00, best bound 1.091158741341e+00, gap 0.0902%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgqj0uajv.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu4l5tn02.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.998867
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.560144e+00, 295 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56014 0 27 0.99887 1.56014 56.2% - 0s
0 0 1.39694 0 19 0.99887 1.39694 39.9% - 0s
0 0 1.39535 0 21 0.99887 1.39535 39.7% - 0s
0 0 1.39328 0 29 0.99887 1.39328 39.5% - 0s
0 0 1.39326 0 30 0.99887 1.39326 39.5% - 0s
0 0 1.39257 0 32 0.99887 1.39257 39.4% - 0s
0 0 1.39257 0 31 0.99887 1.39257 39.4% - 0s
0 2 1.39257 0 31 0.99887 1.39257 39.4% - 0s
* 641 59 32 1.0093123 1.08459 7.46% 7.7 0s
* 705 25 32 1.0323820 1.07874 4.49% 7.6 0s
Cutting planes:
Gomory: 11
Cover: 13
Implied bound: 27
MIR: 3
Flow cover: 27
Inf proof: 18
Explored 834 nodes (6671 simplex iterations) in 0.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.03238 1.00931 0.998867
Optimal solution found (tolerance 1.00e-02)
Best objective 1.032382031112e+00, best bound 1.032382031112e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn2k7sl08.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpptjxjemz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.935743
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.564529e+00, 319 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56453 0 30 0.93574 1.56453 67.2% - 0s
0 0 1.40353 0 40 0.93574 1.40353 50.0% - 0s
0 0 1.40207 0 43 0.93574 1.40207 49.8% - 0s
0 0 1.40106 0 44 0.93574 1.40106 49.7% - 0s
0 0 1.40068 0 46 0.93574 1.40068 49.7% - 0s
0 0 1.40059 0 46 0.93574 1.40059 49.7% - 0s
0 0 1.40059 0 39 0.93574 1.40059 49.7% - 0s
0 2 1.40059 0 38 0.93574 1.40059 49.7% - 0s
* 1006 193 44 1.0349620 1.15808 11.9% 8.8 0s
* 3041 96 42 1.0381660 1.05939 2.04% 7.8 1s
* 3042 88 42 1.0411762 1.05939 1.75% 7.8 1s
Cutting planes:
Gomory: 16
Cover: 17
Implied bound: 29
MIR: 2
Flow cover: 39
Inf proof: 38
Explored 3142 nodes (24974 simplex iterations) in 1.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.04118 1.03817 1.03496 0.935743
Optimal solution found (tolerance 1.00e-02)
Best objective 1.041176239998e+00, best bound 1.048914526062e+00, gap 0.7432%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7bygtdm6.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzxx0izyd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.935474
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.565377e+00, 348 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56538 0 33 0.93547 1.56538 67.3% - 0s
0 0 1.39875 0 31 0.93547 1.39875 49.5% - 0s
0 0 1.39733 0 36 0.93547 1.39733 49.4% - 0s
0 0 1.39643 0 35 0.93547 1.39643 49.3% - 0s
0 0 1.39610 0 39 0.93547 1.39610 49.2% - 0s
0 0 1.39602 0 39 0.93547 1.39602 49.2% - 0s
0 0 1.39602 0 35 0.93547 1.39602 49.2% - 0s
0 2 1.39602 0 35 0.93547 1.39602 49.2% - 0s
* 1715 487 49 0.9918832 1.14188 15.1% 8.3 1s
* 1950 409 48 1.0150103 1.12967 11.3% 8.4 2s
* 2064 342 49 1.0345357 1.11727 8.00% 8.4 2s
* 2249 179 46 1.0402280 1.07383 3.23% 8.4 2s
Cutting planes:
Gomory: 23
Cover: 4
Implied bound: 3
Projected implied bound: 11
Clique: 2
MIR: 11
Flow cover: 29
Inf proof: 11
Explored 2269 nodes (19680 simplex iterations) in 2.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.04023 1.03454 1.01501 ... 0.935474
Optimal solution found (tolerance 1.00e-02)
Best objective 1.040228032252e+00, best bound 1.042260783677e+00, gap 0.1954%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfm3hsqcp.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptpwa_jmq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.972947
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.475992e+00, 382 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47599 0 34 0.97295 1.47599 51.7% - 0s
0 0 1.31432 0 32 0.97295 1.31432 35.1% - 0s
0 0 1.31285 0 36 0.97295 1.31285 34.9% - 0s
0 0 1.31183 0 35 0.97295 1.31183 34.8% - 0s
0 0 1.31155 0 36 0.97295 1.31155 34.8% - 0s
0 0 1.31146 0 36 0.97295 1.31146 34.8% - 0s
0 0 1.31146 0 34 0.97295 1.31146 34.8% - 0s
0 2 1.31146 0 33 0.97295 1.31146 34.8% - 0s
Cutting planes:
Gomory: 14
Cover: 6
Implied bound: 24
MIR: 4
Flow cover: 36
Inf proof: 25
Explored 1941 nodes (16393 simplex iterations) in 1.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.972947
Optimal solution found (tolerance 1.00e-02)
Best objective 9.729465530341e-01, best bound 9.729465530341e-01, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw9j_y734.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp13qnovr9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.909849
Presolve removed 326 rows and 213 columns
Presolve time: 0.02s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.477997e+00, 390 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47800 0 41 0.90985 1.47800 62.4% - 0s
0 0 1.30665 0 34 0.90985 1.30665 43.6% - 0s
0 0 1.30584 0 34 0.90985 1.30584 43.5% - 0s
0 0 1.30144 0 40 0.90985 1.30144 43.0% - 0s
0 0 1.30123 0 38 0.90985 1.30123 43.0% - 0s
0 0 1.30119 0 39 0.90985 1.30119 43.0% - 0s
0 0 1.30108 0 41 0.90985 1.30108 43.0% - 0s
0 0 1.30108 0 41 0.90985 1.30108 43.0% - 0s
0 2 1.30108 0 41 0.90985 1.30108 43.0% - 0s
* 2960 425 56 0.9168617 1.01524 10.7% 11.0 2s
* 3011 264 61 0.9485142 1.00974 6.45% 11.0 2s
Cutting planes:
Gomory: 39
Cover: 2
Implied bound: 10
Projected implied bound: 21
MIR: 7
Flow cover: 28
Inf proof: 22
Explored 3482 nodes (37872 simplex iterations) in 3.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.948514 0.916862 0.909849
Optimal solution found (tolerance 1.00e-02)
Best objective 9.485142284347e-01, best bound 9.570544815527e-01, gap 0.9004%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7f5dhduc.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmposbzdqao.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864685
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.470479e+00, 452 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47048 0 47 0.86469 1.47048 70.1% - 0s
0 0 1.30511 0 49 0.86469 1.30511 50.9% - 0s
0 0 1.30391 0 52 0.86469 1.30391 50.8% - 0s
0 0 1.30329 0 54 0.86469 1.30329 50.7% - 0s
0 0 1.30311 0 55 0.86469 1.30311 50.7% - 0s
0 0 1.30311 0 51 0.86469 1.30311 50.7% - 0s
0 2 1.30311 0 50 0.86469 1.30311 50.7% - 0s
H 1695 326 0.9385327 1.11750 19.1% 14.4 2s
Cutting planes:
Gomory: 39
Cover: 3
Implied bound: 9
Projected implied bound: 33
MIR: 5
Flow cover: 38
Inf proof: 24
Explored 2886 nodes (39801 simplex iterations) in 3.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.938533 0.864685
Optimal solution found (tolerance 1.00e-02)
Best objective 9.385326816162e-01, best bound 9.385326816162e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8j8ylla6.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxri9rs98.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.880252
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.405169e+00, 474 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40517 0 48 0.88025 1.40517 59.6% - 0s
0 0 1.23866 0 54 0.88025 1.23866 40.7% - 0s
0 0 1.23755 0 60 0.88025 1.23755 40.6% - 0s
0 0 1.23654 0 61 0.88025 1.23654 40.5% - 0s
0 0 1.23653 0 62 0.88025 1.23653 40.5% - 0s
0 0 1.23486 0 61 0.88025 1.23486 40.3% - 0s
0 0 1.23485 0 61 0.88025 1.23485 40.3% - 0s
0 0 1.23480 0 61 0.88025 1.23480 40.3% - 0s
0 0 1.23480 0 56 0.88025 1.23480 40.3% - 0s
0 2 1.23480 0 56 0.88025 1.23480 40.3% - 0s
* 2234 593 73 0.8807598 1.06623 21.1% 11.9 2s
* 2236 558 72 0.8826129 1.06623 20.8% 11.8 2s
* 3807 20 69 0.8858170 0.90008 1.61% 11.9 4s
Cutting planes:
Learned: 1
Gomory: 43
Cover: 6
Implied bound: 7
Projected implied bound: 34
MIR: 10
Flow cover: 47
Inf proof: 26
Explored 3874 nodes (46760 simplex iterations) in 4.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.885817 0.882613 0.88076 0.880252
Optimal solution found (tolerance 1.00e-02)
Best objective 8.858169775240e-01, best bound 8.919020631209e-01, gap 0.6869%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_uxfd4bw.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6appic4t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.883571
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.382750e+00, 490 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38275 0 53 0.88357 1.38275 56.5% - 0s
0 0 1.23363 0 55 0.88357 1.23363 39.6% - 0s
0 0 1.23241 0 57 0.88357 1.23241 39.5% - 0s
0 0 1.23140 0 54 0.88357 1.23140 39.4% - 0s
0 0 1.22974 0 60 0.88357 1.22974 39.2% - 0s
0 0 1.22972 0 61 0.88357 1.22972 39.2% - 0s
0 0 1.22971 0 61 0.88357 1.22971 39.2% - 0s
0 0 1.22971 0 57 0.88357 1.22971 39.2% - 0s
0 2 1.22971 0 57 0.88357 1.22971 39.2% - 0s
H 1834 404 0.8861359 1.03393 16.7% 13.4 2s
H 3456 447 0.8936262 0.95334 6.68% 13.5 4s
3995 414 infeasible 33 0.89363 0.93537 4.67% 13.3 5s
Cutting planes:
Gomory: 49
Implied bound: 12
Projected implied bound: 16
MIR: 7
Flow cover: 44
Inf proof: 41
Explored 5138 nodes (66219 simplex iterations) in 6.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.893626 0.886136 0.883571
Optimal solution found (tolerance 1.00e-02)
Best objective 8.936262136638e-01, best bound 8.954966076163e-01, gap 0.2093%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphzzrekbj.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvhpbbqvj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.880775
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.369113e+00, 503 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36911 0 53 0.88078 1.36911 55.4% - 0s
0 0 1.24073 0 55 0.88078 1.24073 40.9% - 0s
0 0 1.24073 0 55 0.88078 1.24073 40.9% - 0s
0 0 1.23533 0 63 0.88078 1.23533 40.3% - 0s
0 0 1.23436 0 63 0.88078 1.23436 40.1% - 0s
0 0 1.23268 0 71 0.88078 1.23268 40.0% - 0s
0 0 1.23267 0 71 0.88078 1.23267 40.0% - 0s
0 0 1.23267 0 71 0.88078 1.23267 40.0% - 0s
0 0 1.23267 0 63 0.88078 1.23267 40.0% - 0s
0 2 1.23267 0 62 0.88078 1.23267 40.0% - 0s
5001 373 0.91716 39 30 0.88078 0.96817 9.92% 13.7 5s
Cutting planes:
Gomory: 20
Cover: 1
Implied bound: 8
Projected implied bound: 7
MIR: 5
Flow cover: 18
Inf proof: 23
Explored 6941 nodes (85529 simplex iterations) in 6.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.880775
Optimal solution found (tolerance 1.00e-02)
Best objective 8.807750557480e-01, best bound 8.807750557480e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9k1zmvgp.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp12g_tx_z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.891927
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.368422e+00, 524 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36842 0 56 0.89193 1.36842 53.4% - 0s
0 0 1.25013 0 57 0.89193 1.25013 40.2% - 0s
0 0 1.25013 0 57 0.89193 1.25013 40.2% - 0s
0 0 1.24163 0 65 0.89193 1.24163 39.2% - 0s
0 0 1.24144 0 65 0.89193 1.24144 39.2% - 0s
0 0 1.24116 0 70 0.89193 1.24116 39.2% - 0s
0 0 1.24116 0 55 0.89193 1.24116 39.2% - 0s
0 2 1.24116 0 55 0.89193 1.24116 39.2% - 0s
3259 482 0.95135 31 49 0.89193 1.04786 17.5% 18.5 5s
Cutting planes:
Learned: 1
Gomory: 46
Cover: 3
Implied bound: 26
Projected implied bound: 38
MIR: 6
Flow cover: 39
Inf proof: 56
Explored 7045 nodes (114503 simplex iterations) in 9.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.891927
Optimal solution found (tolerance 1.00e-02)
Best objective 8.919272403289e-01, best bound 9.001256450658e-01, gap 0.9192%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps7aim_g4.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg03ctzgy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869578
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.335395e+00, 556 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33540 0 57 0.86958 1.33540 53.6% - 0s
0 0 1.21104 0 55 0.86958 1.21104 39.3% - 0s
0 0 1.21104 0 55 0.86958 1.21104 39.3% - 0s
0 0 1.20062 0 65 0.86958 1.20062 38.1% - 0s
0 0 1.19982 0 65 0.86958 1.19982 38.0% - 0s
0 0 1.19951 0 70 0.86958 1.19951 37.9% - 0s
0 0 1.19951 0 71 0.86958 1.19951 37.9% - 0s
0 0 1.19951 0 71 0.86958 1.19951 37.9% - 0s
0 0 1.19951 0 63 0.86958 1.19951 37.9% - 0s
0 2 1.19951 0 61 0.86958 1.19951 37.9% - 0s
3703 378 0.89068 47 38 0.86958 0.93904 7.99% 15.4 5s
Cutting planes:
Gomory: 48
Cover: 3
Implied bound: 12
Projected implied bound: 46
MIR: 9
Flow cover: 53
Inf proof: 36
Explored 6442 nodes (84834 simplex iterations) in 7.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.869578
Optimal solution found (tolerance 1.00e-02)
Best objective 8.695776018198e-01, best bound 8.770850423012e-01, gap 0.8633%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpacgjwtin.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvcqj_nuw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.850473
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.286756e+00, 570 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28676 0 56 0.85047 1.28676 51.3% - 0s
0 0 1.17759 0 61 0.85047 1.17759 38.5% - 0s
0 0 1.16561 0 76 0.85047 1.16561 37.1% - 0s
0 0 1.16485 0 77 0.85047 1.16485 37.0% - 0s
0 0 1.16413 0 78 0.85047 1.16413 36.9% - 0s
0 0 1.16413 0 79 0.85047 1.16413 36.9% - 0s
0 0 1.16413 0 68 0.85047 1.16413 36.9% - 0s
0 2 1.16413 0 67 0.85047 1.16413 36.9% - 0s
2801 565 cutoff 39 0.85047 1.00281 17.9% 18.3 5s
Cutting planes:
Gomory: 54
Cover: 2
Implied bound: 12
Projected implied bound: 42
MIR: 10
Flow cover: 60
Inf proof: 41
Explored 6141 nodes (103273 simplex iterations) in 8.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.850473
Optimal solution found (tolerance 1.00e-02)
Best objective 8.504733975297e-01, best bound 8.563190077349e-01, gap 0.6873%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzy9c43n7.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8aso0u9s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.846512
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.277731e+00, 610 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27773 0 59 0.84651 1.27773 50.9% - 0s
0 0 1.17044 0 66 0.84651 1.17044 38.3% - 0s
0 0 1.17044 0 66 0.84651 1.17044 38.3% - 0s
0 0 1.16004 0 77 0.84651 1.16004 37.0% - 0s
0 0 1.15986 0 77 0.84651 1.15986 37.0% - 0s
0 0 1.15926 0 76 0.84651 1.15926 36.9% - 0s
0 0 1.15921 0 76 0.84651 1.15921 36.9% - 0s
0 0 1.15921 0 76 0.84651 1.15921 36.9% - 0s
0 0 1.15921 0 67 0.84651 1.15921 36.9% - 0s
0 2 1.15921 0 67 0.84651 1.15921 36.9% - 0s
3099 578 cutoff 33 0.84651 0.92962 9.82% 15.5 5s
H 4056 751 0.8465122 0.91448 8.03% 14.4 6s
Cutting planes:
Gomory: 58
Cover: 3
Implied bound: 15
Projected implied bound: 47
MIR: 10
Flow cover: 52
Inf proof: 43
Explored 7818 nodes (101088 simplex iterations) in 9.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.846512 0.846512
Optimal solution found (tolerance 1.00e-02)
Best objective 8.465122456601e-01, best bound 8.538268554009e-01, gap 0.8641%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz18k9dq1.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzwsu1prc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.854582
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.271976e+00, 635 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27198 0 64 0.85458 1.27198 48.8% - 0s
0 0 1.17927 0 66 0.85458 1.17927 38.0% - 0s
0 0 1.17926 0 66 0.85458 1.17926 38.0% - 0s
0 0 1.17082 0 81 0.85458 1.17082 37.0% - 0s
0 0 1.17060 0 81 0.85458 1.17060 37.0% - 0s
0 0 1.16978 0 81 0.85458 1.16978 36.9% - 0s
0 0 1.16978 0 81 0.85458 1.16978 36.9% - 0s
0 0 1.16959 0 81 0.85458 1.16959 36.9% - 0s
0 0 1.16959 0 72 0.85458 1.16959 36.9% - 0s
0 2 1.16959 0 72 0.85458 1.16959 36.9% - 0s
2907 469 0.89548 30 89 0.85458 0.95263 11.5% 16.9 5s
H 3400 569 0.8545816 0.94242 10.3% 16.2 5s
H 4470 759 0.8545816 0.91681 7.28% 14.8 6s
8187 577 0.87033 43 48 0.85458 0.87469 2.35% 12.8 10s
Cutting planes:
Gomory: 60
Cover: 4
Implied bound: 13
Projected implied bound: 39
MIR: 6
Flow cover: 56
Inf proof: 49
Explored 9808 nodes (120547 simplex iterations) in 11.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.854582 0.854582 0.854582
Optimal solution found (tolerance 1.00e-02)
Best objective 8.545816242882e-01, best bound 8.629764312871e-01, gap 0.9823%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpep1p_5kx.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0awjkqsg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829198
Presolve removed 466 rows and 303 columns
Presolve time: 0.03s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.236037e+00, 610 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23604 0 64 0.82920 1.23604 49.1% - 0s
0 0 1.14496 0 74 0.82920 1.14496 38.1% - 0s
0 0 1.14495 0 74 0.82920 1.14495 38.1% - 0s
0 0 1.13663 0 86 0.82920 1.13663 37.1% - 0s
0 0 1.13660 0 86 0.82920 1.13660 37.1% - 0s
0 0 1.13606 0 86 0.82920 1.13606 37.0% - 0s
0 0 1.13606 0 75 0.82920 1.13606 37.0% - 0s
0 2 1.13606 0 73 0.82920 1.13606 37.0% - 0s
2318 577 cutoff 35 0.82920 0.95285 14.9% 18.1 5s
H 4632 1015 0.8291979 0.90807 9.51% 16.4 8s
6004 1005 cutoff 51 0.82920 0.88935 7.25% 15.8 10s
H 9905 379 0.8291979 0.84583 2.01% 14.3 13s
Cutting planes:
Gomory: 70
Cover: 4
Implied bound: 19
Projected implied bound: 47
MIR: 6
Flow cover: 56
Inf proof: 47
Explored 10424 nodes (146807 simplex iterations) in 14.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.829198 0.829198 0.829198
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.0743e-06) exceeds tolerance
Warning: max bound violation (1.6864e-06) exceeds tolerance
Best objective 8.291979444460e-01, best bound 8.362991697827e-01, gap 0.8564%
Run 6
Seed for training 499
Seed for simulation 231
direc: array([[2.03445320e-02, 1.13309474e-04, 2.29069135e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.62612121e-03, 3.03488304e+00, 2.02327518e+00]])
fopt: 0.4885195057341994
fun: -0.48713046151050404
message: 'Optimization terminated successfully.'
nfev: 620
nit: 6
status: 0
success: True
x: array([180.57394256, 9.03325277, 8.04515733])
xopt: array([180., 10., 9.])
zopt: array([180., 190., 199.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplqqjdfn_.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppa5tzp_m.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.48852
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.175309e+00, 709 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17531 0 72 0.48852 1.17531 141% - 0s
0 0 1.09431 0 73 0.48852 1.09431 124% - 0s
0 0 1.08791 0 75 0.48852 1.08791 123% - 0s
0 0 1.08662 0 74 0.48852 1.08662 122% - 0s
0 0 1.08585 0 77 0.48852 1.08585 122% - 0s
0 0 1.08531 0 79 0.48852 1.08531 122% - 0s
0 0 1.08531 0 79 0.48852 1.08531 122% - 0s
0 0 1.08531 0 79 0.48852 1.08531 122% - 0s
0 0 1.08531 0 74 0.48852 1.08531 122% - 0s
0 2 1.08531 0 74 0.48852 1.08531 122% - 0s
* 1150 673 70 0.5244260 1.02387 95.2% 18.6 3s
* 1641 726 75 0.5644601 1.01868 80.5% 19.5 4s
* 1705 750 75 0.5701173 1.01790 78.5% 19.6 4s
1953 776 0.61539 30 50 0.57012 1.01554 78.1% 20.6 5s
5672 2490 0.90986 31 75 0.57012 0.99007 73.7% 22.0 10s
H 5961 1972 0.6794954 0.98933 45.6% 22.0 10s
H 6006 1469 0.7599338 0.98875 30.1% 22.0 10s
8929 2591 cutoff 30 0.75993 0.97520 28.3% 22.3 15s
H 8971 2096 0.8100262 0.97520 20.4% 22.3 15s
12614 3187 0.85696 44 71 0.81003 0.96558 19.2% 22.5 20s
H13384 3383 0.8100262 0.96380 19.0% 22.6 21s
15543 3954 0.92053 37 72 0.81003 0.95832 18.3% 22.9 25s
19126 4551 infeasible 43 0.81003 0.94720 16.9% 23.8 30s
H19950 3464 0.8485499 0.94528 11.4% 23.8 31s
21154 3407 cutoff 44 0.84855 0.94063 10.9% 24.1 41s
22378 3442 0.87011 33 91 0.84855 0.93539 10.2% 24.9 45s
24324 3366 0.91714 36 92 0.84855 0.92697 9.24% 26.3 50s
26599 3413 0.89690 41 76 0.84855 0.91845 8.24% 27.5 55s
H26906 3269 0.8532290 0.91764 7.55% 27.6 58s
27749 3223 infeasible 54 0.85323 0.91544 7.29% 27.8 60s
30528 3383 cutoff 26 0.85323 0.90735 6.34% 28.1 65s
33153 3319 0.90090 42 73 0.85323 0.90090 5.59% 28.4 70s
35835 3314 0.89257 44 66 0.85323 0.89457 4.85% 28.5 75s
38429 3126 cutoff 45 0.85323 0.88909 4.20% 28.5 80s
40964 2860 cutoff 56 0.85323 0.88438 3.65% 28.5 85s
43716 2165 infeasible 34 0.85323 0.87573 2.64% 28.6 90s
46573 1297 cutoff 67 0.85323 0.86686 1.60% 28.4 95s
Cutting planes:
Gomory: 112
Cover: 4
Implied bound: 107
Projected implied bound: 26
Clique: 5
MIR: 51
StrongCG: 1
Flow cover: 114
Inf proof: 314
Explored 49114 nodes (1368103 simplex iterations) in 98.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.853229 0.84855 0.810026 ... 0.48852
Optimal solution found (tolerance 0.00e+00)
Best objective 8.532290354819e-01, best bound 8.532290354819e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6_mya7wl.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpywbktjaj.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 466 rows and 333 columns
Presolve time: 0.00s
Presolved: 165 rows, 208 columns, 825 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.7304338e+01 4.106250e+02 0.000000e+00 0s
100 1.8767065e+01 0.000000e+00 0.000000e+00 0s
Solved in 100 iterations and 0.01 seconds
Optimal objective 1.876706460e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.23120502e-07, -4.80455133e-07, -1.06784654e-08]])
fopt: 2.6752589464960748
fun: -2.683097570324224
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 24.05958721, -87.99580146, -1. ])
xopt: array([24., 0., 0.])
zopt: array([24., 24., 24.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.35508473e-03, 4.05909844e-04, 1.36919388e-02]])
fopt: 2.3784210755881245
fun: -2.4016762992148974
message: 'Optimization terminated successfully.'
nfev: 240
nit: 4
status: 0
success: True
x: array([ 43.01779975, -0.20419932, -64.95671443])
xopt: array([43., 0., 0.])
zopt: array([43., 43., 43.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 6.66516629, -0.33871362, -0.26333081]])
fopt: 1.5496760140737023
fun: -1.5666338800659292
message: 'Optimization terminated successfully.'
nfev: 198
nit: 3
status: 0
success: True
x: array([49.94127928, -0.98879782, -0.94914227])
xopt: array([49., 0., 0.])
zopt: array([49., 49., 49.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 1.31645827, -0.0416198 , 0. ]])
fopt: 1.160837551899431
fun: -1.1730506358611998
message: 'Optimization terminated successfully.'
nfev: 404
nit: 3
status: 0
success: True
x: array([67.00784513, -1.08683662, 1. ])
xopt: array([67., 0., 1.])
zopt: array([67., 67., 68.])
*******************************************
Period: 5
direc: array([[-8.89167123e-03, -5.79874010e-14, -0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.58501517e-04, -2.98563911e-15, 6.11124260e-05]])
fopt: 1.2954300529669478
fun: -1.3000753161666025
message: 'Optimization terminated successfully.'
nfev: 398
nit: 3
status: 0
success: True
x: array([88.18678826, 1. , 1.00124735])
xopt: array([88., 1., 1.])
zopt: array([88., 89., 90.])
*******************************************
Period: 6
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[59.6263489 , 2.83292834, -1.24650118]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1528
nit: 3
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1478
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[105.44406261, 5.24633236, -8.83991643]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1535
nit: 3
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1468
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[126.57497816, 6.0137481 , -4.03600597]])
fopt: 0.9269588079056199
fun: -0.9281884071576005
message: 'Optimization terminated successfully.'
nfev: 299
nit: 3
status: 0
success: True
x: array([ 1.69670183e+02, 9.01372675e+00, -1.42197742e-01])
xopt: array([169., 9., 0.])
zopt: array([169., 178., 178.])
*******************************************
Period: 11
direc: array([[ 1.26345371e+02, 6.00283916e+00, 6.21820986e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.98145690e-08, 1.21069474e+01]])
fopt: 0.9384129620702256
fun: -0.9390398839324376
message: 'Optimization terminated successfully.'
nfev: 560
nit: 6
status: 0
success: True
x: array([169.76600193, 9.00215575, 24.02523038])
xopt: array([169., 9., 24.])
zopt: array([169., 178., 202.])
*******************************************
Period: 12
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.43577851e-03, -5.51435874e-06, -1.83250275e-01]])
fopt: 0.8667499350295864
fun: -0.8659194879076161
message: 'Optimization terminated successfully.'
nfev: 241
nit: 3
status: 0
success: True
x: array([176.99999995, 1.00000085, 43.00018933])
xopt: array([176., 2., 43.])
zopt: array([176., 178., 221.])
*******************************************
Period: 13
direc: array([[1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.51312220e-02, 2.19949059e-03, 5.44306851e+01]])
fopt: 0.8004950567992761
fun: -0.8007560908928353
message: 'Optimization terminated successfully.'
nfev: 424
nit: 5
status: 0
success: True
x: array([176.99988043, 1.00000122, 59.37987538])
xopt: array([176., 2., 59.])
zopt: array([176., 178., 237.])
*******************************************
Period: 14
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.88693180e-04, -1.18862021e-08, -8.87396218e-02]])
fopt: 0.7484002767226611
fun: -0.7499569005599099
message: 'Optimization terminated successfully.'
nfev: 326
nit: 4
status: 0
success: True
x: array([175.99718901, 2.00435127, 64.08466446])
xopt: array([175., 3., 65.])
zopt: array([175., 178., 243.])
*******************************************
Period: 15
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.20865973e-03, -2.83717943e-10, -4.76180473e-01]])
fopt: 0.6943772887736108
fun: -0.6952486909866934
message: 'Optimization terminated successfully.'
nfev: 543
nit: 5
status: 0
success: True
x: array([176.99540243, 1.00000004, 72.55181206])
xopt: array([176., 2., 73.])
zopt: array([176., 178., 251.])
*******************************************
Period: 16
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.93661939e-07, 9.41036953e+01]])
fopt: 0.6704890027285502
fun: -0.6715173752831769
message: 'Optimization terminated successfully.'
nfev: 584
nit: 6
status: 0
success: True
x: array([177.09619493, 1.0244884 , 103.00194687])
xopt: array([177., 1., 103.])
zopt: array([177., 178., 281.])
*******************************************
Period: 17
direc: array([[2.79581180e-08, 1.59346266e-10, 3.20517433e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 1.18706455e+02]])
fopt: 0.689707718749995
fun: -0.690566803927678
message: 'Optimization terminated successfully.'
nfev: 676
nit: 6
status: 0
success: True
x: array([176.45511862, 2. , 125.02355338])
xopt: array([176., 2., 125.])
zopt: array([176., 178., 303.])
*******************************************
Period: 18
direc: array([[-1.63810251e-05, -0.00000000e+00, -1.86592473e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.48091723948960474
fun: -0.47865133023982515
message: 'Optimization terminated successfully.'
nfev: 296
nit: 3
status: 0
success: True
x: array([177.83971551, 1.14589792, 5.00321911])
xopt: array([177., 1., 6.])
zopt: array([177., 178., 184.])
*******************************************
Period: 19
direc: array([[3.22511335e-01, 1.84235013e-03, 3.84362926e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.14055304e+00, 2.93654125e-02, 3.19459971e+01]])
fopt: 0.701262371898988
fun: -0.7007651053693437
message: 'Optimization terminated successfully.'
nfev: 432
nit: 6
status: 0
success: True
x: array([178.97378691, -0.97380506, 169.00000072])
xopt: array([178., 0., 169.])
zopt: array([178., 178., 347.])
*******************************************
Period: 20
direc: array([[ 4.84979322e-09, 1.66395588e-16, 2.75321041e-11],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.09323980e-08, -3.85746696e-07, 4.33792721e+00]])
fopt: 0.666722768937397
fun: -0.6666446569568967
message: 'Optimization terminated successfully.'
nfev: 626
nit: 7
status: 0
success: True
x: array([177.15047367, 2.00112639, 179.0128929 ])
xopt: array([177., 3., 180.])
zopt: array([177., 180., 360.])
*******************************************
Period: 21
direc: array([[0., 0., 0.],
[0., 0., 0.],
[0., 1., 0.]])
fopt: 0.644044087677889
fun: -0.6422828875853587
message: 'Optimization terminated successfully.'
nfev: 623
nit: 8
status: 0
success: True
x: array([176.88142605, 6.00006991, 193.34810926])
xopt: array([176., 6., 194.])
zopt: array([176., 182., 376.])
*******************************************
Period: 22
direc: array([[-1.08247923e+00, -6.99408423e-11, -7.54654156e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.53636664e-04, -4.95244830e-09, 4.80053544e+00]])
fopt: 0.46073955999297456
fun: -0.4601553881749002
message: 'Optimization terminated successfully.'
nfev: 747
nit: 6
status: 0
success: True
x: array([176.99313325, 1. , 11.02747615])
xopt: array([176., 2., 12.])
zopt: array([176., 178., 190.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.64123703e-09, -3.97920025e-13, -1.43510173e-15]])
fopt: 0.4503464399264139
fun: -0.44950337195885426
message: 'Optimization terminated successfully.'
nfev: 323
nit: 3
status: 0
success: True
x: array([177.56460898, 1.00813062, 1.00002889])
xopt: array([177., 1., 2.])
zopt: array([177., 178., 180.])
*******************************************
Period: 24
direc: array([[-1.07003251, -0. , -0.01260567],
[ 0. , 1. , 0. ],
[ 0. , -0. , 0. ]])
fopt: 0.4458148506042914
fun: -0.4453130073584616
message: 'Optimization terminated successfully.'
nfev: 480
nit: 5
status: 0
success: True
x: array([176.99851514, 1.00835987, 6.00087863])
xopt: array([176., 2., 7.])
zopt: array([176., 178., 185.])
*******************************************
Period: 25
direc: array([[-6.24142562e+00, 0.00000000e+00, 1.52192472e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.39247303e-02, 2.15648031e-02, 1.63254853e+02]])
fopt: 0.6408624494798866
fun: -0.6399613455562307
message: 'Optimization terminated successfully.'
nfev: 631
nit: 6
status: 0
success: True
x: array([177.93261041, 1.02357988, 181.0696546 ])
xopt: array([178., 2., 182.])
zopt: array([178., 180., 362.])
*******************************************
Period: 26
direc: array([[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00],
[ 0.0000000e+00, 1.0000000e+00, 0.0000000e+00],
[-0.0000000e+00, -0.0000000e+00, -2.4442635e-11]])
fopt: 0.47926873980541745
fun: -0.4774621079087762
message: 'Optimization terminated successfully.'
nfev: 359
nit: 3
status: 0
success: True
x: array([177.71501557, 1. , 3.37116965])
xopt: array([177., 1., 4.])
zopt: array([177., 178., 182.])
*******************************************
Period: 27
direc: array([[ 6.14878545e-04, 0.00000000e+00, 3.47434466e-06],
[ 3.62694215e-02, 0.00000000e+00, 5.90504905e+01],
[-4.00834352e-06, 6.50145669e-03, -1.75041321e-05]])
fopt: 0.6712617496104248
fun: -0.6712252586417629
message: 'Optimization terminated successfully.'
nfev: 661
nit: 7
status: 0
success: True
x: array([177.80388012, 3.006526 , 185.04349372])
xopt: array([178., 4., 186.])
zopt: array([178., 182., 368.])
*******************************************
Period: 28
direc: array([[ 1.44459305e-01, 0.00000000e+00, 8.21470612e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.72823338e-05, -1.10515795e-10, -1.30468979e-01]])
fopt: 0.5273566905080505
fun: -0.5280510857197239
message: 'Optimization terminated successfully.'
nfev: 763
nit: 7
status: 0
success: True
x: array([176.99995891, 1. , 54.00032022])
xopt: array([176., 2., 54.])
zopt: array([176., 178., 232.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 50.00573816]])
fopt: 0.5379774852724747
fun: -0.5378608000141158
message: 'Optimization terminated successfully.'
nfev: 429
nit: 4
status: 0
success: True
x: array([177.12427177, 1. , 55.0000057 ])
xopt: array([177., 1., 55.])
zopt: array([177., 178., 233.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiaf_7zyy.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxi4w5e9i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [6e-02, 6e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.76121
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.67526 1.76121
Optimal solution found (tolerance 1.00e-02)
Best objective 2.675258946496e+00, best bound 2.675258946496e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu0tnlz_d.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1tnn60gv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.738746
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.378421e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3784211 2.37842 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.37842 0.738746
Optimal solution found (tolerance 1.00e-02)
Best objective 2.378421075588e+00, best bound 2.378421075588e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppp1w04ob.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpujtwv7ud.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.55046
Presolve removed 119 rows and 87 columns
Presolve time: 0.00s
Presolved: 26 rows, 22 columns, 77 nonzeros
Variable types: 9 continuous, 13 integer (10 binary)
Root relaxation: cutoff, 5 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 cutoff 0 1.55046 1.55046 0.00% - 0s
Explored 0 nodes (5 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.55046
Optimal solution found (tolerance 1.00e-02)
Best objective 1.550456980263e+00, best bound 1.550456980263e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0v1nubyn.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9p8s1aj7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15802
Presolve removed 121 rows and 85 columns
Presolve time: 0.00s
Presolved: 70 rows, 57 columns, 234 nonzeros
Variable types: 26 continuous, 31 integer (26 binary)
Root relaxation: objective 1.214162e+00, 45 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21416 0 6 1.15802 1.21416 4.85% - 0s
H 0 0 1.1678320 1.21416 3.97% - 0s
0 0 1.17627 0 1 1.16783 1.17627 0.72% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
Clique: 1
Flow cover: 2
Explored 1 nodes (58 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.16783 1.15802
Optimal solution found (tolerance 1.00e-02)
Best objective 1.167832019593e+00, best bound 1.176268887248e+00, gap 0.7224%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyao5xzoa.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd38dcmyt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.835978
Presolve removed 123 rows and 85 columns
Presolve time: 0.01s
Presolved: 114 rows, 90 columns, 380 nonzeros
Variable types: 43 continuous, 47 integer (42 binary)
Root relaxation: objective 1.692517e+00, 71 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69252 0 8 0.83598 1.69252 102% - 0s
H 0 0 1.4183780 1.69252 19.3% - 0s
H 0 0 1.4269511 1.69252 18.6% - 0s
0 0 1.44817 0 1 1.42695 1.44817 1.49% - 0s
0 0 1.44817 0 1 1.42695 1.44817 1.49% - 0s
H 0 0 1.4455048 1.44817 0.18% - 0s
Cutting planes:
Gomory: 1
Clique: 1
Flow cover: 3
Flow path: 1
Explored 1 nodes (103 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.4455 1.42695 1.41838 0.835978
Optimal solution found (tolerance 1.00e-02)
Best objective 1.445504772967e+00, best bound 1.448166201887e+00, gap 0.1841%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6cu9_c56.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdugtw_uo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03422
Presolve removed 140 rows and 95 columns
Presolve time: 0.01s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.844737e+00, 91 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84474 0 10 1.03422 1.84474 78.4% - 0s
H 0 0 1.0430450 1.84474 76.9% - 0s
H 0 0 1.4438699 1.84474 27.8% - 0s
0 0 1.62592 0 2 1.44387 1.62592 12.6% - 0s
0 0 1.62590 0 1 1.44387 1.62590 12.6% - 0s
0 0 1.62590 0 1 1.44387 1.62590 12.6% - 0s
H 0 0 1.4965361 1.62590 8.64% - 0s
0 2 1.62590 0 1 1.49654 1.62590 8.64% - 0s
Cutting planes:
Gomory: 2
Clique: 1
Flow cover: 5
Explored 8 nodes (160 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.49654 1.44387 1.04304 1.03422
Optimal solution found (tolerance 1.00e-02)
Best objective 1.496536148113e+00, best bound 1.496536148113e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp19zw5sth.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp94i4okmj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21908
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.790239e+00, 105 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79024 0 14 1.21908 1.79024 46.9% - 0s
0 0 1.59759 0 6 1.21908 1.59759 31.0% - 0s
H 0 0 1.2480789 1.59759 28.0% - 0s
0 0 1.58145 0 11 1.24808 1.58145 26.7% - 0s
H 0 0 1.2726854 1.58145 24.3% - 0s
0 0 1.58086 0 12 1.27269 1.58086 24.2% - 0s
0 0 1.58074 0 12 1.27269 1.58074 24.2% - 0s
0 0 1.58074 0 12 1.27269 1.58074 24.2% - 0s
H 0 0 1.3120037 1.58074 20.5% - 0s
0 2 1.58074 0 12 1.31200 1.58074 20.5% - 0s
* 24 5 9 1.3404321 1.51609 13.1% 5.9 0s
Cutting planes:
Gomory: 3
Cover: 1
Implied bound: 2
MIR: 1
Flow cover: 10
Explored 46 nodes (401 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.34043 1.312 1.27269 ... 1.21908
Optimal solution found (tolerance 1.00e-02)
Best objective 1.340432103777e+00, best bound 1.340432103777e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz7egw1kh.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwqpnqttq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.089
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.783585e+00, 128 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78359 0 16 1.08900 1.78359 63.8% - 0s
0 0 1.57143 0 9 1.08900 1.57143 44.3% - 0s
0 0 1.57141 0 9 1.08900 1.57141 44.3% - 0s
0 0 1.56075 0 17 1.08900 1.56075 43.3% - 0s
0 0 1.56059 0 17 1.08900 1.56059 43.3% - 0s
0 0 1.55494 0 17 1.08900 1.55494 42.8% - 0s
0 0 1.55440 0 19 1.08900 1.55440 42.7% - 0s
0 0 1.55425 0 20 1.08900 1.55425 42.7% - 0s
0 0 1.55424 0 20 1.08900 1.55424 42.7% - 0s
0 0 1.55410 0 17 1.08900 1.55410 42.7% - 0s
0 0 1.55409 0 19 1.08900 1.55409 42.7% - 0s
0 0 1.55409 0 17 1.08900 1.55409 42.7% - 0s
H 0 0 1.2056664 1.55409 28.9% - 0s
0 2 1.55409 0 17 1.20567 1.55409 28.9% - 0s
H 9 6 1.2491483 1.49331 19.5% 12.6 0s
* 25 5 10 1.2708892 1.49229 17.4% 8.8 0s
Cutting planes:
Gomory: 8
Implied bound: 2
MIR: 2
Flow cover: 14
Explored 32 nodes (528 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.27089 1.24915 1.20567 1.089
Optimal solution found (tolerance 1.00e-02)
Best objective 1.270889192305e+00, best bound 1.270889192305e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1phhbg6i.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd9hpry_7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0258
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.837652e+00, 154 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83765 0 18 1.02580 1.83765 79.1% - 0s
0 0 1.63434 0 15 1.02580 1.63434 59.3% - 0s
0 0 1.62238 0 18 1.02580 1.62238 58.2% - 0s
0 0 1.62166 0 18 1.02580 1.62166 58.1% - 0s
0 0 1.62166 0 18 1.02580 1.62166 58.1% - 0s
H 0 0 1.2977063 1.62166 25.0% - 0s
0 2 1.62166 0 18 1.29771 1.62166 25.0% - 0s
Cutting planes:
Gomory: 6
Implied bound: 2
Clique: 1
MIR: 4
Flow cover: 13
Explored 63 nodes (711 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.29771 1.0258
Optimal solution found (tolerance 1.00e-02)
Best objective 1.297706323678e+00, best bound 1.297706323678e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsgjd827t.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_fcql2_3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14244
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.675004e+00, 167 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67500 0 20 1.14244 1.67500 46.6% - 0s
0 0 1.49644 0 17 1.14244 1.49644 31.0% - 0s
0 0 1.49294 0 18 1.14244 1.49294 30.7% - 0s
0 0 1.49270 0 20 1.14244 1.49270 30.7% - 0s
0 0 1.49270 0 20 1.14244 1.49270 30.7% - 0s
0 2 1.49270 0 20 1.14244 1.49270 30.7% - 0s
* 62 25 17 1.1634322 1.28630 10.6% 8.2 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 7
Clique: 1
MIR: 4
Flow cover: 17
Explored 103 nodes (1018 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.16343 1.14244
Optimal solution found (tolerance 1.00e-02)
Best objective 1.163432223509e+00, best bound 1.163432223509e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp87aeya10.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmj0hv41x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02754
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.625200e+00, 192 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62520 0 23 1.02754 1.62520 58.2% - 0s
0 0 1.43659 0 18 1.02754 1.43659 39.8% - 0s
0 0 1.41870 0 21 1.02754 1.41870 38.1% - 0s
0 0 1.41870 0 21 1.02754 1.41870 38.1% - 0s
0 0 1.41778 0 19 1.02754 1.41778 38.0% - 0s
0 0 1.41755 0 19 1.02754 1.41755 38.0% - 0s
0 0 1.41755 0 19 1.02754 1.41755 38.0% - 0s
0 0 1.41755 0 19 1.02754 1.41755 38.0% - 0s
0 2 1.41755 0 19 1.02754 1.41755 38.0% - 0s
* 62 30 22 1.1334424 1.35976 20.0% 7.7 0s
* 184 0 19 1.1343055 1.19145 5.04% 8.0 0s
Cutting planes:
Gomory: 9
Implied bound: 6
Clique: 1
MIR: 2
Flow cover: 19
Inf proof: 2
Explored 195 nodes (1916 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.13431 1.13344 1.02754
Optimal solution found (tolerance 1.00e-02)
Best objective 1.134305477828e+00, best bound 1.134305477828e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0n_gf9sl.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp883dbz5e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0157
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.547081e+00, 210 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54708 0 24 1.01570 1.54708 52.3% - 0s
0 0 1.36560 0 18 1.01570 1.36560 34.4% - 0s
0 0 1.36519 0 21 1.01570 1.36519 34.4% - 0s
0 0 1.36511 0 28 1.01570 1.36511 34.4% - 0s
0 0 1.36511 0 26 1.01570 1.36511 34.4% - 0s
0 2 1.36511 0 26 1.01570 1.36511 34.4% - 0s
H 72 34 1.0577617 1.26581 19.7% 7.7 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 6
Clique: 1
MIR: 4
Flow cover: 16
Inf proof: 2
Explored 288 nodes (2533 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.05776 1.0157
Optimal solution found (tolerance 1.00e-02)
Best objective 1.057761724980e+00, best bound 1.057761724980e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc2o4awf_.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbtxk9v7v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95939
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.451281e+00, 231 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45128 0 25 0.95939 1.45128 51.3% - 0s
0 0 1.27680 0 25 0.95939 1.27680 33.1% - 0s
0 0 1.27516 0 29 0.95939 1.27516 32.9% - 0s
0 0 1.27418 0 31 0.95939 1.27418 32.8% - 0s
0 0 1.26868 0 31 0.95939 1.26868 32.2% - 0s
0 0 1.26653 0 34 0.95939 1.26653 32.0% - 0s
0 0 1.26653 0 34 0.95939 1.26653 32.0% - 0s
0 0 1.26653 0 32 0.95939 1.26653 32.0% - 0s
0 2 1.26653 0 32 0.95939 1.26653 32.0% - 0s
* 93 46 29 0.9772720 1.16944 19.7% 8.7 0s
* 94 46 29 0.9800558 1.16944 19.3% 8.6 0s
* 363 0 27 0.9807861 0.99133 1.08% 8.3 0s
Cutting planes:
Gomory: 12
Implied bound: 8
Clique: 1
MIR: 3
Flow cover: 27
Inf proof: 9
Explored 374 nodes (3520 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.980786 0.980056 0.977272 0.95939
Optimal solution found (tolerance 1.00e-02)
Best objective 9.807861304992e-01, best bound 9.807861304992e-01, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpux2_0z7x.pyomo.lp
Reading time = 0.01 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9iy8wyhx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.907095
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.350173e+00, 269 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35017 0 28 0.90710 1.35017 48.8% - 0s
0 0 1.17283 0 25 0.90710 1.17283 29.3% - 0s
0 0 1.16830 0 27 0.90710 1.16830 28.8% - 0s
0 0 1.16827 0 28 0.90710 1.16827 28.8% - 0s
0 0 1.16739 0 29 0.90710 1.16739 28.7% - 0s
0 0 1.16739 0 29 0.90710 1.16739 28.7% - 0s
0 2 1.16739 0 28 0.90710 1.16739 28.7% - 0s
* 93 37 29 0.9100452 1.00117 10.0% 7.8 0s
* 249 39 26 0.9107234 0.95201 4.53% 6.3 0s
Cutting planes:
Gomory: 19
Implied bound: 5
MIR: 3
Flow cover: 18
Inf proof: 3
Explored 359 nodes (2680 simplex iterations) in 0.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.910723 0.910045 0.907095
Optimal solution found (tolerance 1.00e-02)
Best objective 9.107234047762e-01, best bound 9.107234047762e-01, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu2oge5kw.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4m1hlor4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.846695
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.261445e+00, 291 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26145 0 29 0.84669 1.26145 49.0% - 0s
0 0 1.09066 0 30 0.84669 1.09066 28.8% - 0s
0 0 1.07584 0 32 0.84669 1.07584 27.1% - 0s
0 0 1.07580 0 31 0.84669 1.07580 27.1% - 0s
0 0 1.07453 0 37 0.84669 1.07453 26.9% - 0s
0 0 1.07453 0 30 0.84669 1.07453 26.9% - 0s
0 2 1.07453 0 30 0.84669 1.07453 26.9% - 0s
* 511 47 31 0.8473090 0.89121 5.18% 6.6 0s
Cutting planes:
Gomory: 17
Cover: 2
Implied bound: 10
Clique: 1
MIR: 9
Flow cover: 20
Inf proof: 7
Explored 730 nodes (5179 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.847309 0.846695
Optimal solution found (tolerance 1.00e-02)
Best objective 8.473089685590e-01, best bound 8.544995622628e-01, gap 0.8486%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplhxsl3nn.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2nj_h08f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.78495
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.214821e+00, 305 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21482 0 30 0.78495 1.21482 54.8% - 0s
0 0 1.04739 0 33 0.78495 1.04739 33.4% - 0s
0 0 1.04729 0 33 0.78495 1.04729 33.4% - 0s
0 0 1.03377 0 40 0.78495 1.03377 31.7% - 0s
0 0 1.03369 0 40 0.78495 1.03369 31.7% - 0s
0 0 1.03290 0 39 0.78495 1.03290 31.6% - 0s
0 0 1.03290 0 33 0.78495 1.03290 31.6% - 0s
0 2 1.03290 0 32 0.78495 1.03290 31.6% - 0s
* 195 98 36 0.7890027 0.95794 21.4% 8.9 0s
* 274 99 42 0.8040194 0.95037 18.2% 7.7 0s
* 793 96 35 0.8149740 0.85224 4.57% 7.0 0s
Cutting planes:
Gomory: 16
Cover: 1
Implied bound: 9
Clique: 1
MIR: 9
Flow cover: 23
Inf proof: 7
Explored 935 nodes (7062 simplex iterations) in 0.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.814974 0.804019 0.789003 0.78495
Optimal solution found (tolerance 1.00e-02)
Best objective 8.149739505965e-01, best bound 8.161927540662e-01, gap 0.1496%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0gfi0l1a.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdxtvsq4t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.720762
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.243082e+00, 335 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24308 0 31 0.72076 1.24308 72.5% - 0s
0 0 1.08327 0 29 0.72076 1.08327 50.3% - 0s
0 0 1.07060 0 34 0.72076 1.07060 48.5% - 0s
0 0 1.07057 0 34 0.72076 1.07057 48.5% - 0s
0 0 1.06912 0 34 0.72076 1.06912 48.3% - 0s
0 0 1.06869 0 33 0.72076 1.06869 48.3% - 0s
0 0 1.06864 0 37 0.72076 1.06864 48.3% - 0s
0 0 1.06864 0 36 0.72076 1.06864 48.3% - 0s
0 0 1.06864 0 35 0.72076 1.06864 48.3% - 0s
0 2 1.06864 0 35 0.72076 1.06864 48.3% - 0s
* 310 201 40 0.7223535 0.97251 34.6% 9.6 0s
* 1637 449 37 0.7346859 0.90670 23.4% 9.9 2s
* 2138 470 51 0.7539719 0.89360 18.5% 10.0 2s
* 2668 357 45 0.8172495 0.88540 8.34% 9.9 2s
* 3279 284 43 0.8245396 0.86292 4.66% 9.9 3s
Cutting planes:
Gomory: 24
Cover: 7
Implied bound: 14
Projected implied bound: 16
Clique: 1
MIR: 10
Flow cover: 42
Inf proof: 43
Explored 4021 nodes (41622 simplex iterations) in 4.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.82454 0.81725 0.753972 ... 0.720762
Optimal solution found (tolerance 1.00e-02)
Best objective 8.245395704746e-01, best bound 8.302646876687e-01, gap 0.6943%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxrj10_x4.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp85h2lf2c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.735832
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.261465e+00, 359 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26146 0 36 0.73583 1.26146 71.4% - 0s
0 0 1.11598 0 44 0.73583 1.11598 51.7% - 0s
0 0 1.10998 0 40 0.73583 1.10998 50.8% - 0s
0 0 1.10973 0 39 0.73583 1.10973 50.8% - 0s
0 0 1.10960 0 38 0.73583 1.10960 50.8% - 0s
0 0 1.10960 0 33 0.73583 1.10960 50.8% - 0s
0 2 1.10960 0 33 0.73583 1.10960 50.8% - 0s
* 892 334 75 0.7670503 0.95382 24.3% 9.7 0s
* 2489 656 57 0.8210904 0.94079 14.6% 9.2 2s
* 3971 387 54 0.8263519 0.88570 7.18% 9.8 4s
4782 129 cutoff 31 0.82635 0.86099 4.19% 10.8 5s
Cutting planes:
Gomory: 31
Cover: 5
Implied bound: 15
Projected implied bound: 19
MIR: 9
Flow cover: 30
Inf proof: 41
Explored 5031 nodes (55705 simplex iterations) in 5.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.826352 0.82109 0.76705 0.735832
Optimal solution found (tolerance 1.00e-02)
Best objective 8.263519076523e-01, best bound 8.322703218456e-01, gap 0.7162%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7kjdpjht.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzzfe0p36.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.744724
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.272789e+00, 389 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27279 0 40 0.74472 1.27279 70.9% - 0s
0 0 1.12013 0 43 0.74472 1.12013 50.4% - 0s
0 0 1.10567 0 49 0.74472 1.10567 48.5% - 0s
0 0 1.10567 0 49 0.74472 1.10567 48.5% - 0s
0 0 1.10501 0 59 0.74472 1.10501 48.4% - 0s
0 0 1.10501 0 45 0.74472 1.10501 48.4% - 0s
0 2 1.10501 0 45 0.74472 1.10501 48.4% - 0s
H 753 383 0.7800411 1.00496 28.8% 12.8 0s
* 2123 301 70 0.8184301 0.91639 12.0% 12.5 2s
H 4171 95 0.8202689 0.83526 1.83% 11.5 4s
Cutting planes:
Gomory: 34
Cover: 1
Implied bound: 18
Projected implied bound: 22
MIR: 12
Flow cover: 39
Inf proof: 42
Explored 4344 nodes (49945 simplex iterations) in 4.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.820269 0.81843 0.780041 0.744724
Optimal solution found (tolerance 1.00e-02)
Best objective 8.202689069381e-01, best bound 8.281685986494e-01, gap 0.9631%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb52vdao2.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpitti66bo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.747639
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.260895e+00, 451 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26090 0 44 0.74764 1.26090 68.7% - 0s
0 0 1.11708 0 47 0.74764 1.11708 49.4% - 0s
0 0 1.10500 0 48 0.74764 1.10500 47.8% - 0s
0 0 1.10051 0 54 0.74764 1.10051 47.2% - 0s
0 0 1.10051 0 54 0.74764 1.10051 47.2% - 0s
0 0 1.10046 0 55 0.74764 1.10046 47.2% - 0s
0 0 1.10046 0 46 0.74764 1.10046 47.2% - 0s
0 2 1.10046 0 46 0.74764 1.10046 47.2% - 0s
H 2088 331 0.7792192 0.94566 21.4% 14.5 2s
H 2432 401 0.7820723 0.92687 18.5% 14.7 3s
H 2438 357 0.7924391 0.92687 17.0% 14.6 3s
3719 338 cutoff 39 0.79244 0.87016 9.81% 14.8 5s
H 4029 194 0.8009397 0.84859 5.95% 15.0 5s
Cutting planes:
Gomory: 46
Cover: 5
Implied bound: 14
Projected implied bound: 21
MIR: 14
Flow cover: 49
Inf proof: 33
Explored 4582 nodes (67268 simplex iterations) in 5.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.80094 0.792439 0.782072 ... 0.747639
Optimal solution found (tolerance 1.00e-02)
Best objective 8.009397431359e-01, best bound 8.013508471930e-01, gap 0.0513%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppri26_u2.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr0grkqmd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.747285
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.220790e+00, 445 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22079 0 48 0.74729 1.22079 63.4% - 0s
0 0 1.05665 0 48 0.74729 1.05665 41.4% - 0s
0 0 1.04531 0 60 0.74729 1.04531 39.9% - 0s
0 0 1.04516 0 60 0.74729 1.04516 39.9% - 0s
0 0 1.04280 0 61 0.74729 1.04280 39.5% - 0s
0 0 1.04279 0 61 0.74729 1.04279 39.5% - 0s
0 0 1.04165 0 62 0.74729 1.04165 39.4% - 0s
0 0 1.04126 0 65 0.74729 1.04126 39.3% - 0s
0 0 1.04126 0 66 0.74729 1.04126 39.3% - 0s
0 0 1.04072 0 68 0.74729 1.04072 39.3% - 0s
0 0 1.04072 0 55 0.74729 1.04072 39.3% - 0s
0 2 1.04072 0 55 0.74729 1.04072 39.3% - 0s
* 478 317 78 0.7618671 1.00698 32.2% 13.1 0s
* 485 317 78 0.7623685 1.00698 32.1% 13.0 0s
* 1126 504 91 0.7663604 0.93587 22.1% 13.6 2s
* 1190 481 90 0.7667829 0.92756 21.0% 13.5 2s
* 1827 404 85 0.7670896 0.90404 17.9% 13.6 3s
H 2484 416 0.7674408 0.86600 12.8% 14.5 4s
2956 315 infeasible 30 0.76744 0.83348 8.61% 15.2 5s
* 3874 100 84 0.7679721 0.78990 2.86% 14.8 6s
Cutting planes:
Gomory: 38
Implied bound: 8
Projected implied bound: 26
Clique: 1
MIR: 19
Flow cover: 51
Inf proof: 26
Explored 4367 nodes (62344 simplex iterations) in 6.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.767972 0.767441 0.76709 ... 0.747285
Optimal solution found (tolerance 1.00e-02)
Best objective 7.679720932463e-01, best bound 7.694602391801e-01, gap 0.1938%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe_j9smeg.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfj50wumo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.792703
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.220331e+00, 478 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22033 0 49 0.79270 1.22033 53.9% - 0s
0 0 1.08718 0 53 0.79270 1.08718 37.1% - 0s
0 0 1.08718 0 53 0.79270 1.08718 37.1% - 0s
0 0 1.07153 0 68 0.79270 1.07153 35.2% - 0s
0 0 1.07133 0 70 0.79270 1.07133 35.1% - 0s
0 0 1.06990 0 71 0.79270 1.06990 35.0% - 0s
0 0 1.06990 0 71 0.79270 1.06990 35.0% - 0s
0 0 1.06887 0 72 0.79270 1.06887 34.8% - 0s
0 0 1.06881 0 72 0.79270 1.06881 34.8% - 0s
0 0 1.06880 0 72 0.79270 1.06880 34.8% - 0s
0 0 1.06880 0 58 0.79270 1.06880 34.8% - 0s
0 2 1.06880 0 58 0.79270 1.06880 34.8% - 0s
H 2646 281 0.7927029 0.83511 5.35% 16.0 4s
3398 358 0.79491 45 44 0.79270 0.82171 3.66% 15.4 5s
Cutting planes:
Gomory: 61
Cover: 4
Implied bound: 11
Projected implied bound: 22
MIR: 16
Flow cover: 38
Inf proof: 37
Explored 5070 nodes (73478 simplex iterations) in 6.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.792703 0.792703
Optimal solution found (tolerance 1.00e-02)
Best objective 7.927028714858e-01, best bound 7.995634998598e-01, gap 0.8655%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5yh4jl22.pyomo.lp
Reading time = 0.00 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnvl3k22u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.776664
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.197081e+00, 479 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19708 0 49 0.77666 1.19708 54.1% - 0s
0 0 1.06612 0 64 0.77666 1.06612 37.3% - 0s
0 0 1.05878 0 64 0.77666 1.05878 36.3% - 0s
0 0 1.05739 0 63 0.77666 1.05739 36.1% - 0s
0 0 1.05485 0 65 0.77666 1.05485 35.8% - 0s
0 0 1.05476 0 65 0.77666 1.05476 35.8% - 0s
0 0 1.05460 0 65 0.77666 1.05460 35.8% - 0s
0 0 1.05460 0 53 0.77666 1.05460 35.8% - 0s
0 2 1.05460 0 53 0.77666 1.05460 35.8% - 0s
H 3047 358 0.7783136 0.84530 8.61% 19.6 4s
3288 321 cutoff 26 0.77831 0.83903 7.80% 19.8 5s
* 5436 134 71 0.7811542 0.79656 1.97% 17.2 7s
* 5691 59 72 0.7829548 0.78921 0.80% 16.8 7s
Cutting planes:
Gomory: 49
Cover: 2
Implied bound: 18
Projected implied bound: 19
Clique: 1
MIR: 21
Flow cover: 51
Inf proof: 46
Explored 5843 nodes (97267 simplex iterations) in 7.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.782955 0.781154 0.778314 0.776664
Optimal solution found (tolerance 1.00e-02)
Best objective 7.829547564951e-01, best bound 7.867611197779e-01, gap 0.4862%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqms21fqz.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjc6g1p08.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.75591
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.183688e+00, 504 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18369 0 51 0.75591 1.18369 56.6% - 0s
0 0 1.06495 0 53 0.75591 1.06495 40.9% - 0s
0 0 1.06495 0 53 0.75591 1.06495 40.9% - 0s
0 0 1.06153 0 57 0.75591 1.06153 40.4% - 0s
0 0 1.06153 0 58 0.75591 1.06153 40.4% - 0s
0 0 1.05748 0 60 0.75591 1.05748 39.9% - 0s
0 0 1.05686 0 61 0.75591 1.05686 39.8% - 0s
0 0 1.05672 0 61 0.75591 1.05672 39.8% - 0s
0 0 1.05672 0 55 0.75591 1.05672 39.8% - 0s
0 2 1.05672 0 52 0.75591 1.05672 39.8% - 0s
3954 754 0.77626 31 37 0.75591 0.86877 14.9% 15.8 5s
Cutting planes:
Gomory: 23
Cover: 2
Implied bound: 6
Projected implied bound: 13
MIR: 7
Flow cover: 22
Inf proof: 21
Explored 8844 nodes (123658 simplex iterations) in 9.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.75591
Optimal solution found (tolerance 1.00e-02)
Best objective 7.559100280716e-01, best bound 7.625972347432e-01, gap 0.8847%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpghejmzdh.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpep7t1fza.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.744113
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.193106e+00, 535 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19311 0 53 0.74411 1.19311 60.3% - 0s
0 0 1.07156 0 61 0.74411 1.07156 44.0% - 0s
0 0 1.07156 0 61 0.74411 1.07156 44.0% - 0s
0 0 1.05939 0 78 0.74411 1.05939 42.4% - 0s
0 0 1.05935 0 76 0.74411 1.05935 42.4% - 0s
0 0 1.05809 0 72 0.74411 1.05809 42.2% - 0s
0 0 1.05809 0 72 0.74411 1.05809 42.2% - 0s
0 0 1.05793 0 73 0.74411 1.05793 42.2% - 0s
0 0 1.05793 0 67 0.74411 1.05793 42.2% - 0s
0 2 1.05793 0 67 0.74411 1.05793 42.2% - 0s
3513 614 0.75501 35 53 0.74411 0.82397 10.7% 16.7 5s
H 6322 813 0.7471535 0.79693 6.66% 17.3 8s
7311 755 0.78970 34 66 0.74715 0.78970 5.69% 17.3 10s
Cutting planes:
Gomory: 55
Cover: 2
Implied bound: 18
Projected implied bound: 26
MIR: 16
Flow cover: 56
Inf proof: 108
Explored 11602 nodes (188978 simplex iterations) in 14.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.747153 0.744113
Optimal solution found (tolerance 1.00e-02)
Best objective 7.471534915993e-01, best bound 7.539884459109e-01, gap 0.9148%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpanp2byyd.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqjk8fpfl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.768942
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.199644e+00, 555 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19964 0 58 0.76894 1.19964 56.0% - 0s
0 0 1.07882 0 58 0.76894 1.07882 40.3% - 0s
0 0 1.07882 0 58 0.76894 1.07882 40.3% - 0s
0 0 1.06421 0 74 0.76894 1.06421 38.4% - 0s
0 0 1.06412 0 70 0.76894 1.06412 38.4% - 0s
0 0 1.06234 0 79 0.76894 1.06234 38.2% - 0s
0 0 1.06234 0 79 0.76894 1.06234 38.2% - 0s
0 0 1.06204 0 78 0.76894 1.06204 38.1% - 0s
0 0 1.06204 0 71 0.76894 1.06204 38.1% - 0s
0 2 1.06204 0 69 0.76894 1.06204 38.1% - 0s
3888 1062 cutoff 35 0.76894 0.86698 12.7% 14.8 5s
H 4038 1063 0.7689420 0.86447 12.4% 15.1 6s
7967 1309 0.80137 47 66 0.76894 0.82761 7.63% 16.1 10s
11841 1344 cutoff 46 0.76894 0.80671 4.91% 15.9 15s
Cutting planes:
Gomory: 44
Cover: 1
Implied bound: 30
Projected implied bound: 26
Clique: 1
MIR: 12
Flow cover: 46
Inf proof: 102
Explored 16356 nodes (256960 simplex iterations) in 19.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.768942 0.768942
Optimal solution found (tolerance 1.00e-02)
Best objective 7.689420173081e-01, best bound 7.760890832178e-01, gap 0.9295%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvymxe3wd.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm7okkufo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.766011
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.189322e+00, 585 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18932 0 60 0.76601 1.18932 55.3% - 0s
0 0 1.07001 0 66 0.76601 1.07001 39.7% - 0s
0 0 1.07001 0 66 0.76601 1.07001 39.7% - 0s
0 0 1.05868 0 78 0.76601 1.05868 38.2% - 0s
0 0 1.05843 0 73 0.76601 1.05843 38.2% - 0s
0 0 1.05588 0 75 0.76601 1.05588 37.8% - 0s
0 0 1.05392 0 80 0.76601 1.05392 37.6% - 0s
0 0 1.05364 0 81 0.76601 1.05364 37.5% - 0s
0 0 1.05364 0 82 0.76601 1.05364 37.5% - 0s
0 0 1.05336 0 80 0.76601 1.05336 37.5% - 0s
0 0 1.05336 0 67 0.76601 1.05336 37.5% - 0s
0 2 1.05336 0 67 0.76601 1.05336 37.5% - 0s
* 1836 436 104 0.7666187 0.94099 22.7% 20.4 4s
2326 514 0.88869 28 60 0.76662 0.92947 21.2% 20.3 5s
H 3064 686 0.7666187 0.91466 19.3% 20.4 7s
4989 935 0.84733 36 60 0.76662 0.87966 14.7% 20.2 10s
9973 786 0.80666 39 60 0.76662 0.81098 5.79% 18.7 15s
Cutting planes:
Gomory: 69
Cover: 2
Implied bound: 28
Projected implied bound: 28
Clique: 1
MIR: 21
Flow cover: 56
Inf proof: 110
Explored 14500 nodes (238902 simplex iterations) in 19.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.766619 0.766619 0.766011
Optimal solution found (tolerance 1.00e-02)
Best objective 7.666186968165e-01, best bound 7.738551582643e-01, gap 0.9439%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7l4wlx9d.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9djc64pn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.748352
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.145953e+00, 644 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14595 0 59 0.74835 1.14595 53.1% - 0s
0 0 1.04005 0 67 0.74835 1.04005 39.0% - 0s
0 0 1.04005 0 67 0.74835 1.04005 39.0% - 0s
0 0 1.02628 0 77 0.74835 1.02628 37.1% - 0s
0 0 1.02606 0 73 0.74835 1.02606 37.1% - 0s
0 0 1.02406 0 81 0.74835 1.02406 36.8% - 0s
0 0 1.02351 0 80 0.74835 1.02351 36.8% - 0s
0 0 1.02313 0 79 0.74835 1.02313 36.7% - 0s
0 0 1.02304 0 81 0.74835 1.02304 36.7% - 0s
0 0 1.02223 0 79 0.74835 1.02223 36.6% - 0s
0 0 1.02219 0 79 0.74835 1.02219 36.6% - 0s
0 0 1.02137 0 77 0.74835 1.02137 36.5% - 0s
0 0 1.02137 0 77 0.74835 1.02137 36.5% - 0s
0 0 1.02136 0 81 0.74835 1.02136 36.5% - 0s
0 0 1.02136 0 71 0.74835 1.02136 36.5% - 0s
0 2 1.02136 0 71 0.74835 1.02136 36.5% - 0s
2037 668 0.86466 16 83 0.74835 0.89713 19.9% 20.2 5s
5633 1052 infeasible 38 0.74835 0.82989 10.9% 24.2 11s
9301 1263 0.78982 29 85 0.74835 0.79598 6.36% 23.1 15s
13515 984 cutoff 40 0.74835 0.77209 3.17% 21.3 20s
Cutting planes:
Gomory: 58
Cover: 4
Implied bound: 37
Projected implied bound: 29
Clique: 1
MIR: 23
Flow cover: 92
Inf proof: 107
Explored 16363 nodes (331615 simplex iterations) in 23.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.748352
Optimal solution found (tolerance 1.00e-02)
Best objective 7.483519651341e-01, best bound 7.543589938389e-01, gap 0.8027%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp631_pf8m.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu3l13lpb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.750616
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.146785e+00, 620 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14678 0 64 0.75062 1.14678 52.8% - 0s
0 0 1.08678 0 76 0.75062 1.08678 44.8% - 0s
0 0 1.08678 0 76 0.75062 1.08678 44.8% - 0s
0 0 1.06479 0 90 0.75062 1.06479 41.9% - 0s
0 0 1.06341 0 94 0.75062 1.06341 41.7% - 0s
0 0 1.06341 0 97 0.75062 1.06341 41.7% - 0s
0 0 1.06341 0 97 0.75062 1.06341 41.7% - 0s
0 0 1.06341 0 81 0.75062 1.06341 41.7% - 0s
0 0 1.06341 0 81 0.75062 1.06341 41.7% - 0s
0 0 1.06341 0 81 0.75062 1.06341 41.7% - 0s
0 0 1.06341 0 80 0.75062 1.06341 41.7% - 0s
0 2 1.06341 0 80 0.75062 1.06341 41.7% - 0s
2490 752 0.87427 29 66 0.75062 0.90846 21.0% 18.7 5s
6090 1426 0.79407 31 72 0.75062 0.86093 14.7% 20.5 10s
9608 1758 infeasible 31 0.75062 0.83633 11.4% 21.4 15s
13025 1823 0.78743 21 73 0.75062 0.81710 8.86% 21.7 20s
H13027 1823 0.7506162 0.81710 8.86% 21.7 20s
17093 1655 cutoff 34 0.75062 0.79786 6.29% 21.6 25s
19884 1396 cutoff 41 0.75062 0.78527 4.62% 21.4 30s
24142 380 cutoff 64 0.75062 0.75988 1.23% 20.7 35s
Cutting planes:
Gomory: 55
Cover: 5
Implied bound: 46
Projected implied bound: 35
Clique: 1
MIR: 14
Flow cover: 75
Inf proof: 148
Explored 24453 nodes (503958 simplex iterations) in 35.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.750616 0.750616
Optimal solution found (tolerance 1.00e-02)
Best objective 7.506162256302e-01, best bound 7.576506829786e-01, gap 0.9372%
Run 7
Seed for training 570
Seed for simulation 516
direc: array([[ 5.09273311e-06, 3.52872346e-09, 2.41862319e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.63511468e-11, 0.00000000e+00, 1.91768278e+02]])
fopt: 0.6647120210001544
fun: -0.6648958068883138
message: 'Optimization terminated successfully.'
nfev: 983
nit: 9
status: 0
success: True
x: array([211.56331815, 1.02362558, 203.26957039])
xopt: array([211., 1., 203.])
zopt: array([211., 212., 415.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdlm6ft9v.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl6wg6l76.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.664712
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.178432e+00, 701 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17843 0 71 0.66471 1.17843 77.3% - 0s
0 0 1.06222 0 71 0.66471 1.06222 59.8% - 0s
0 0 1.06222 0 71 0.66471 1.06222 59.8% - 0s
0 0 1.05939 0 76 0.66471 1.05939 59.4% - 0s
0 0 1.05937 0 74 0.66471 1.05937 59.4% - 0s
0 0 1.05931 0 77 0.66471 1.05931 59.4% - 0s
0 0 1.05931 0 75 0.66471 1.05931 59.4% - 0s
0 2 1.05931 0 75 0.66471 1.05931 59.4% - 0s
2831 895 0.87868 27 69 0.66471 0.91356 37.4% 17.5 5s
7099 2313 0.77394 29 77 0.66471 0.86560 30.2% 17.7 10s
H 7209 1566 0.7313887 0.86527 18.3% 17.8 10s
H 7310 1220 0.7612425 0.86527 13.7% 17.7 10s
11703 1957 0.78904 26 89 0.76124 0.83070 9.12% 16.4 15s
*14639 2196 105 0.7749863 0.82516 6.47% 15.7 18s
16017 2489 cutoff 67 0.77499 0.82240 6.12% 15.4 20s
21266 3260 cutoff 35 0.77499 0.81515 5.18% 14.7 31s
*21907 2817 96 0.7836261 0.81414 3.89% 14.7 31s
*23181 2516 94 0.7858929 0.81108 3.20% 14.9 33s
23787 2357 cutoff 67 0.78589 0.80949 3.00% 15.0 35s
*25126 2071 98 0.7871869 0.80645 2.45% 15.2 36s
*25395 1661 90 0.7907650 0.80544 1.86% 15.2 37s
*25966 1405 90 0.7912716 0.80369 1.57% 15.2 38s
27126 861 infeasible 77 0.79127 0.79874 0.94% 15.3 40s
*27463 677 89 0.7914416 0.79683 0.68% 15.3 40s
Cutting planes:
Gomory: 90
Cover: 10
Implied bound: 32
Projected implied bound: 15
MIR: 17
Flow cover: 61
Inf proof: 193
Explored 28295 nodes (433436 simplex iterations) in 41.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.791442 0.791272 0.790765 ... 0.664712
Optimal solution found (tolerance 0.00e+00)
Best objective 7.914416327190e-01, best bound 7.914416327190e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz_pqbcsz.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2_aupvse.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 466 rows and 333 columns
Presolve time: 0.00s
Presolved: 165 rows, 208 columns, 825 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.6559833e+01 4.237500e+02 0.000000e+00 0s
112 1.7726963e+01 0.000000e+00 0.000000e+00 0s
Solved in 112 iterations and 0.01 seconds
Optimal objective 1.772696336e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06609969, 0.0109562 , 0.0109562 ]])
fopt: 0.7050068507085024
fun: -0.7090738860825011
message: 'Optimization terminated successfully.'
nfev: 147
nit: 2
status: 0
success: True
x: array([13.00000047, -0.9999238 , -0.9999238 ])
xopt: array([13., 0., 0.])
zopt: array([13., 13., 13.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.41812735, 0.97549678, 3.4018328 ]])
fopt: 1.7551817725258894
fun: -1.7711112358345331
message: 'Optimization terminated successfully.'
nfev: 270
nit: 5
status: 0
success: True
x: array([33.85526617, -7.99784404, -0.44366955])
xopt: array([33., 0., 0.])
zopt: array([33., 33., 33.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 45.41655667, -831.11498855, -18.47213616]])
fopt: 1.7563482690785652
fun: -1.7571522217199
message: 'Optimization terminated successfully.'
nfev: 227
nit: 4
status: 0
success: True
x: array([ 51.05690351, -907.99991431, -13.99223253])
xopt: array([51., 0., 0.])
zopt: array([51., 51., 51.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[54.86684645, 0. , 0. ]])
fopt: 1.4563492641170994
fun: -1.4681371706494133
message: 'Optimization terminated successfully.'
nfev: 842
nit: 7
status: 0
success: True
x: array([65.99998787, -1. , -1. ])
xopt: array([66., 0., 0.])
zopt: array([66., 66., 66.])
*******************************************
Period: 5
direc: array([[ 1. , 0. , 0. ],
[ 0. , 0. , 1. ],
[ 63.82458439, 52.58674429, -25.95917656]])
fopt: 1.3421676887119873
fun: -1.3464463456037066
message: 'Optimization terminated successfully.'
nfev: 204
nit: 3
status: 0
success: True
x: array([ 70.00150384, 57.63773002, -23.99021109])
xopt: array([70., 57., 0.])
zopt: array([ 70., 127., 127.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1477
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1470
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1468
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1459
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 1.45837523e-08, 5.94669104e-09, -5.93160464e-09],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.64675110e+02, 3.65652198e-14, 0.00000000e+00]])
fopt: 1.0855686479983295
fun: -1.0880893223682402
message: 'Optimization terminated successfully.'
nfev: 793
nit: 7
status: 0
success: True
x: array([175.96122307, 3.00508679, -1. ])
xopt: array([175., 4., 0.])
zopt: array([175., 179., 179.])
*******************************************
Period: 11
direc: array([[ 1. , 0. , 0. ],
[ 0. , 0. , 1. ],
[120.42617484, 49.42855725, 24.49028365]])
fopt: 1.1489098998031344
fun: -1.1455941019628526
message: 'Optimization terminated successfully.'
nfev: 226
nit: 3
status: 0
success: True
x: array([126.99996485, 52.448804 , 14.00390788])
xopt: array([126., 53., 14.])
zopt: array([126., 179., 193.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8709497431428532
fun: -0.8740107034400444
message: 'Optimization terminated successfully.'
nfev: 333
nit: 4
status: 0
success: True
x: array([ 1.78999330e+02, -4.69564227e-05, 8.13801392e-02])
xopt: array([179., 0., 0.])
zopt: array([179., 179., 179.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7959347498001854
fun: -0.7966261834430998
message: 'Optimization terminated successfully.'
nfev: 388
nit: 4
status: 0
success: True
x: array([1.76999979e+02, 2.00000000e+00, 9.82660406e-07])
xopt: array([177., 2., 0.])
zopt: array([177., 179., 179.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7313230985638178
fun: -0.732687191636305
message: 'Optimization terminated successfully.'
nfev: 399
nit: 4
status: 0
success: True
x: array([ 1.77999447e+02, 1.00306097e+00, -2.72475117e-03])
xopt: array([177., 2., 0.])
zopt: array([177., 179., 179.])
*******************************************
Period: 15
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6732020460832352
fun: -0.6743232121037259
message: 'Optimization terminated successfully.'
nfev: 296
nit: 4
status: 0
success: True
x: array([177.9973557 , 1.00597773, -0.2012672 ])
xopt: array([177., 2., 0.])
zopt: array([177., 179., 179.])
*******************************************
Period: 16
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.624867652453145
fun: -0.6259933772573485
message: 'Optimization terminated successfully.'
nfev: 310
nit: 4
status: 0
success: True
x: array([ 1.76997693e+02, 2.02900942e+00, -3.34621601e-02])
xopt: array([176., 3., 0.])
zopt: array([176., 179., 179.])
*******************************************
Period: 17
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.579736025460105
fun: -0.5824304914004219
message: 'Optimization terminated successfully.'
nfev: 533
nit: 5
status: 0
success: True
x: array([178.00178252, 1.000165 , -0.61803308])
xopt: array([178., 1., 0.])
zopt: array([178., 179., 179.])
*******************************************
Period: 18
direc: array([[-5.70918677e+01, -5.97732760e-02, 1.27815778e+02],
[ 1.36822394e+02, 6.88025407e+01, -3.48641266e+01],
[ 3.60597738e-07, -2.24373242e-09, 1.28441706e-09]])
fopt: 1.1005300676899687
fun: -1.09773813119197
message: 'Optimization terminated successfully.'
nfev: 555
nit: 7
status: 0
success: True
x: array([100. , 79.00645955, 142.11263296])
xopt: array([ 99., 80., 142.])
zopt: array([ 99., 179., 321.])
*******************************************
Period: 19
direc: array([[ 1. , 0. , 0. ],
[ 0. , 0. , 1. ],
[ 0.12456378, 0.06603462, -0.17399191]])
fopt: 0.6104338933352632
fun: -0.6103655202197482
message: 'Optimization terminated successfully.'
nfev: 525
nit: 7
status: 0
success: True
x: array([120.99404698, 58.34897303, -0.5222346 ])
xopt: array([120., 59., 0.])
zopt: array([120., 179., 179.])
*******************************************
Period: 20
direc: array([[-2.07945075e+01, -1.05314514e+01, 3.23754169e+01],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-6.55857405e-02, -2.75795031e-09, 8.47840154e-09]])
fopt: 0.5802411392032417
fun: -0.5806009132982917
message: 'Optimization terminated successfully.'
nfev: 590
nit: 6
status: 0
success: True
x: array([119.01497919, 60.55618297, -0.37417535])
xopt: array([119., 60., 0.])
zopt: array([119., 179., 179.])
*******************************************
Period: 21
direc: array([[ 1.36862904e+02, 6.88211534e+01, -3.48486275e+01],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.34679201e-01, -5.38325334e-05, 4.56773256e-01]])
fopt: 0.4202418626430744
fun: -0.44140019973980144
message: 'Optimization terminated successfully.'
nfev: 355
nit: 5
status: 0
success: True
x: array([141.03637559, 71.80601118, -33.85742962])
xopt: array([141., 72., 0.])
zopt: array([141., 213., 213.])
*******************************************
Period: 22
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.4666865083816302
fun: -0.46629823956987493
message: 'Optimization terminated successfully.'
nfev: 218
nit: 2
status: 0
success: True
x: array([178.39346385, 1.14589803, 1.0004834 ])
xopt: array([178., 1., 1.])
zopt: array([178., 179., 180.])
*******************************************
Period: 23
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.4771444783820142
fun: -0.47861464744898446
message: 'Optimization terminated successfully.'
nfev: 260
nit: 2
status: 0
success: True
x: array([178.05146001, 1.00109354, 1.00000008])
xopt: array([178., 1., 1.])
zopt: array([178., 179., 180.])
*******************************************
Period: 24
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 0.5011692898835536
fun: -0.5013793438909887
message: 'Optimization terminated successfully.'
nfev: 260
nit: 2
status: 0
success: True
x: array([1.78985914e+02, 1.26677138e-02, 1.00000000e+00])
xopt: array([178., 1., 1.])
zopt: array([178., 179., 180.])
*******************************************
Period: 25
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.48972409e-01, 8.47152160e-04, -8.47152182e-04]])
fopt: 0.5136075010618236
fun: -0.516535583671321
message: 'Optimization terminated successfully.'
nfev: 286
nit: 3
status: 0
success: True
x: array([ 1.77056702e+02, 2.00033063e+00, -7.17631969e-04])
xopt: array([177., 2., 0.])
zopt: array([177., 179., 179.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.51760264e-01, -0.00000000e+00, 9.89244226e-04]])
fopt: 0.5318241215335519
fun: -0.5334363946410801
message: 'Optimization terminated successfully.'
nfev: 438
nit: 4
status: 0
success: True
x: array([ 1.78001149e+02, 1.14589803e+00, -3.93165508e-02])
xopt: array([178., 1., 0.])
zopt: array([178., 179., 179.])
*******************************************
Period: 27
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.57121067, 0.00325626, -0.00466655]])
fopt: 0.5373361381648688
fun: -0.5399184927778695
message: 'Optimization terminated successfully.'
nfev: 310
nit: 3
status: 0
success: True
x: array([176.99060584, 2.00288799, -0.43774697])
xopt: array([176., 3., 0.])
zopt: array([176., 179., 179.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.87041428e-03, 5.62747051e-05, -7.91779542e-05]])
fopt: 0.5294222974050752
fun: -0.5318220763445755
message: 'Optimization terminated successfully.'
nfev: 321
nit: 3
status: 0
success: True
x: array([176.40686738, 3.00005627, -0.40705792])
xopt: array([176., 3., 0.])
zopt: array([176., 179., 179.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.35083813, 0. , -0.00330172]])
fopt: 0.5437680348853317
fun: -0.5464010234530267
message: 'Optimization terminated successfully.'
nfev: 492
nit: 5
status: 0
success: True
x: array([ 1.77995584e+02, 1.00465408e+00, -7.93462705e-04])
xopt: array([177., 2., 0.])
zopt: array([177., 179., 179.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp59_s8yto.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxrl98d7z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.215569
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 0.705007 0.215569
Optimal solution found (tolerance 1.00e-02)
Best objective 7.050068507085e-01, best bound 7.050068507085e-01, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiq8l0yjj.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxn75m9qt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective -0.0137202
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.755182e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.7551818 1.75518 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.75518 -0.0137202
Optimal solution found (tolerance 1.00e-02)
Best objective 1.755181772526e+00, best bound 1.755181772526e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqubrft3t.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuecvpko4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.857791
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 1.756348e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.7563483 1.75635 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.75635 0.857791
Optimal solution found (tolerance 1.00e-02)
Best objective 1.756348269079e+00, best bound 1.756348269079e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7naklv0w.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp57u05u00.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19352
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 1.894833e+00, 39 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89483 0 9 1.19352 1.89483 58.8% - 0s
H 0 0 1.2285662 1.89483 54.2% - 0s
H 0 0 1.4563493 1.89483 30.1% - 0s
0 0 cutoff 0 1.45635 1.45635 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 5
Flow cover: 2
Explored 1 nodes (46 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.45635 1.22857 1.19352
Optimal solution found (tolerance 1.00e-02)
Best objective 1.456349264117e+00, best bound 1.456349264117e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq4cm2fq2.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeklsh1id.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04135
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 1.933772e+00, 60 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93377 0 4 1.04135 1.93377 85.7% - 0s
H 0 0 1.4856307 1.93377 30.2% - 0s
0 0 1.51579 0 1 1.48563 1.51579 2.03% - 0s
0 0 cutoff 0 1.48563 1.48563 0.00% - 0s
Cutting planes:
Flow cover: 4
Explored 1 nodes (82 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.48563 1.04135
Optimal solution found (tolerance 1.00e-02)
Best objective 1.485630736123e+00, best bound 1.485630736123e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp21ca4s2t.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzhc1c1q4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10453
Presolve removed 157 rows and 107 columns
Presolve time: 0.00s
Presolved: 126 rows, 101 columns, 428 nonzeros
Variable types: 50 continuous, 51 integer (47 binary)
Root relaxation: objective 1.987821e+00, 74 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98782 0 4 1.10453 1.98782 80.0% - 0s
H 0 0 1.6007647 1.98782 24.2% - 0s
0 0 1.66719 0 1 1.60076 1.66719 4.15% - 0s
0 0 1.66719 0 2 1.60076 1.66719 4.15% - 0s
0 0 1.64347 0 2 1.60076 1.64347 2.67% - 0s
0 0 1.64345 0 2 1.60076 1.64345 2.67% - 0s
0 0 1.64345 0 1 1.60076 1.64345 2.67% - 0s
0 0 cutoff 0 1.60076 1.60076 0.00% - 0s
Cutting planes:
Flow cover: 2
Explored 1 nodes (129 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.60076 1.10453
Optimal solution found (tolerance 1.00e-02)
Best objective 1.600764670852e+00, best bound 1.600764670852e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqnqjk97w.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5hg5cdkz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24523
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.144770e+00, 104 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14477 0 7 1.24523 2.14477 72.2% - 0s
H 0 0 1.5952677 2.14477 34.4% - 0s
0 0 1.94198 0 11 1.59527 1.94198 21.7% - 0s
0 0 1.72946 0 2 1.59527 1.72946 8.41% - 0s
0 0 1.72946 0 2 1.59527 1.72946 8.41% - 0s
0 0 1.71854 0 1 1.59527 1.71854 7.73% - 0s
H 0 0 1.6232365 1.71854 5.87% - 0s
0 0 1.64387 0 1 1.62324 1.64387 1.27% - 0s
0 0 infeasible 0 1.62324 1.62324 0.00% - 0s
Explored 1 nodes (232 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.62324 1.59527 1.24523
Optimal solution found (tolerance 1.00e-02)
Best objective 1.623236483259e+00, best bound 1.623236483259e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyl93iygr.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpevbf_fnx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31267
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.171288e+00, 125 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17129 0 9 1.31267 2.17129 65.4% - 0s
0 0 1.87919 0 14 1.31267 1.87919 43.2% - 0s
0 0 1.74072 0 4 1.31267 1.74072 32.6% - 0s
0 0 1.74010 0 4 1.31267 1.74010 32.6% - 0s
0 0 1.74010 0 4 1.31267 1.74010 32.6% - 0s
H 0 0 1.5503212 1.74010 12.2% - 0s
H 0 0 1.6016520 1.74010 8.64% - 0s
0 2 1.74010 0 4 1.60165 1.74010 8.64% - 0s
Cutting planes:
Gomory: 4
Implied bound: 3
Flow cover: 12
Explored 14 nodes (267 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.60165 1.55032 1.31267
Optimal solution found (tolerance 1.00e-02)
Best objective 1.601651980446e+00, best bound 1.609993159355e+00, gap 0.5208%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw7fh8nbw.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1f_zjsh_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3463
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.093232e+00, 150 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09323 0 11 1.34630 2.09323 55.5% - 0s
0 0 1.78002 0 18 1.34630 1.78002 32.2% - 0s
H 0 0 1.5244311 1.78002 16.8% - 0s
0 0 1.65188 0 6 1.52443 1.65188 8.36% - 0s
0 0 1.65133 0 6 1.52443 1.65133 8.32% - 0s
0 0 1.65133 0 6 1.52443 1.65133 8.32% - 0s
0 0 1.65133 0 4 1.52443 1.65133 8.32% - 0s
0 0 1.61024 0 4 1.52443 1.61024 5.63% - 0s
0 0 1.59001 0 2 1.52443 1.59001 4.30% - 0s
0 0 1.58294 0 5 1.52443 1.58294 3.84% - 0s
0 0 1.57771 0 4 1.52443 1.57771 3.50% - 0s
0 0 1.57494 0 4 1.52443 1.57494 3.31% - 0s
0 0 1.57494 0 5 1.52443 1.57494 3.31% - 0s
0 0 1.54414 0 1 1.52443 1.54414 1.29% - 0s
0 0 1.53663 0 3 1.52443 1.53663 0.80% - 0s
Cutting planes:
Gomory: 2
Implied bound: 2
MIR: 6
Flow cover: 1
Explored 1 nodes (355 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52443 1.3463
Optimal solution found (tolerance 1.00e-02)
Best objective 1.524431082658e+00, best bound 1.536630368866e+00, gap 0.8003%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcg4fyjam.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxvocw1jz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30175
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 2.063513e+00, 171 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06351 0 13 1.30175 2.06351 58.5% - 0s
0 0 1.74899 0 24 1.30175 1.74899 34.4% - 0s
0 0 1.61643 0 8 1.30175 1.61643 24.2% - 0s
0 0 1.61593 0 8 1.30175 1.61593 24.1% - 0s
0 0 1.61593 0 8 1.30175 1.61593 24.1% - 0s
H 0 0 1.4935327 1.61593 8.20% - 0s
0 2 1.61593 0 8 1.49353 1.61593 8.20% - 0s
H 29 2 1.4983793 1.51124 0.86% 2.8 0s
Cutting planes:
Gomory: 9
Implied bound: 5
Flow cover: 16
Explored 35 nodes (412 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.49838 1.49353 1.30175
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.7897e-06) exceeds tolerance
Best objective 1.498379311120e+00, best bound 1.503326695810e+00, gap 0.3302%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp751d_avl.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8yg64anx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35176
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.900921e+00, 197 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90092 0 16 1.35176 1.90092 40.6% - 0s
0 0 1.54923 0 18 1.35176 1.54923 14.6% - 0s
0 0 1.54213 0 19 1.35176 1.54213 14.1% - 0s
0 0 1.54213 0 19 1.35176 1.54213 14.1% - 0s
0 0 1.54213 0 15 1.35176 1.54213 14.1% - 0s
H 0 0 1.3643168 1.54213 13.0% - 0s
0 2 1.54213 0 15 1.36432 1.54213 13.0% - 0s
Cutting planes:
Gomory: 10
Implied bound: 2
Flow cover: 9
Explored 47 nodes (493 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.36432 1.35176
Optimal solution found (tolerance 1.00e-02)
Best objective 1.364316792774e+00, best bound 1.364316792774e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppay8ort5.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwt79yend.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20776
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.921946e+00, 219 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92195 0 17 1.20776 1.92195 59.1% - 0s
0 0 1.58479 0 29 1.20776 1.58479 31.2% - 0s
0 0 1.51924 0 30 1.20776 1.51924 25.8% - 0s
0 0 1.51924 0 30 1.20776 1.51924 25.8% - 0s
0 0 1.51883 0 31 1.20776 1.51883 25.8% - 0s
0 0 1.51883 0 23 1.20776 1.51883 25.8% - 0s
H 0 0 1.3789110 1.51883 10.1% - 0s
0 2 1.51883 0 23 1.37891 1.51883 10.1% - 0s
Cutting planes:
Gomory: 10
Implied bound: 6
Flow cover: 15
Explored 161 nodes (1067 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.37891 1.20776
Optimal solution found (tolerance 1.00e-02)
Best objective 1.378910988113e+00, best bound 1.378910988113e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9zwa_kd0.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyb7h6_gj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21865
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.924667e+00, 236 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92467 0 20 1.21865 1.92467 57.9% - 0s
0 0 1.56868 0 18 1.21865 1.56868 28.7% - 0s
0 0 1.56456 0 22 1.21865 1.56456 28.4% - 0s
0 0 1.56372 0 19 1.21865 1.56372 28.3% - 0s
0 0 1.56361 0 14 1.21865 1.56361 28.3% - 0s
0 0 1.56357 0 19 1.21865 1.56357 28.3% - 0s
0 0 1.56357 0 20 1.21865 1.56357 28.3% - 0s
0 0 1.56357 0 17 1.21865 1.56357 28.3% - 0s
0 2 1.56357 0 17 1.21865 1.56357 28.3% - 0s
H 65 49 1.3002918 1.49148 14.7% 5.8 0s
* 79 45 27 1.3522431 1.47883 9.36% 5.9 0s
H 441 0 1.3522433 1.39900 3.46% 5.4 0s
Cutting planes:
Gomory: 14
Cover: 1
Implied bound: 3
MIR: 1
Flow cover: 23
Inf proof: 4
Explored 467 nodes (2896 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.35224 1.35224 1.30029 1.21865
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.6273e-06) exceeds tolerance
Warning: max bound violation (2.8484e-06) exceeds tolerance
Best objective 1.352243265896e+00, best bound 1.363215975002e+00, gap 0.8114%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6kecz16x.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsxehthfy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21996
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.862028e+00, 253 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86203 0 23 1.21996 1.86203 52.6% - 0s
0 0 1.51324 0 21 1.21996 1.51324 24.0% - 0s
0 0 1.51042 0 26 1.21996 1.51042 23.8% - 0s
0 0 1.50962 0 22 1.21996 1.50962 23.7% - 0s
0 0 1.50960 0 18 1.21996 1.50960 23.7% - 0s
0 0 1.50951 0 22 1.21996 1.50951 23.7% - 0s
0 0 1.50951 0 20 1.21996 1.50951 23.7% - 0s
H 0 0 1.2964815 1.50951 16.4% - 0s
0 2 1.50951 0 18 1.29648 1.50951 16.4% - 0s
H 66 40 1.2976437 1.44902 11.7% 5.8 0s
H 333 33 1.2976437 1.36666 5.32% 7.1 0s
Cutting planes:
Gomory: 12
Cover: 2
Implied bound: 4
MIR: 1
Flow cover: 23
Inf proof: 10
Explored 414 nodes (3372 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.29764 1.29764 1.29648 1.21996
Optimal solution found (tolerance 1.00e-02)
Best objective 1.297643723327e+00, best bound 1.297643723327e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6_pgwsl7.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp_ofyhuk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17422
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.846744e+00, 292 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84674 0 26 1.17422 1.84674 57.3% - 0s
0 0 1.51490 0 28 1.17422 1.51490 29.0% - 0s
0 0 1.51129 0 29 1.17422 1.51129 28.7% - 0s
0 0 1.51126 0 29 1.17422 1.51126 28.7% - 0s
0 0 1.51126 0 30 1.17422 1.51126 28.7% - 0s
0 0 1.51126 0 26 1.17422 1.51126 28.7% - 0s
0 2 1.51126 0 26 1.17422 1.51126 28.7% - 0s
* 143 85 44 1.2562642 1.35547 7.90% 6.0 0s
* 697 129 42 1.2611782 1.32748 5.26% 6.3 0s
* 699 95 43 1.2869002 1.32748 3.15% 6.3 0s
Cutting planes:
Gomory: 18
Cover: 2
Implied bound: 10
MIR: 1
Flow cover: 18
Inf proof: 10
Explored 932 nodes (6452 simplex iterations) in 0.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.2869 1.26118 1.25626 1.17422
Optimal solution found (tolerance 1.00e-02)
Best objective 1.286900167630e+00, best bound 1.293908431710e+00, gap 0.5446%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpysbdxz2y.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2m14qq82.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17563
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.818822e+00, 316 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81882 0 28 1.17563 1.81882 54.7% - 0s
0 0 1.49991 0 31 1.17563 1.49991 27.6% - 0s
0 0 1.49577 0 33 1.17563 1.49577 27.2% - 0s
0 0 1.49569 0 31 1.17563 1.49569 27.2% - 0s
0 0 1.49569 0 24 1.17563 1.49569 27.2% - 0s
0 2 1.49569 0 24 1.17563 1.49569 27.2% - 0s
H 127 49 1.2559699 1.34436 7.04% 7.1 0s
Cutting planes:
Gomory: 21
Implied bound: 14
Flow cover: 17
Inf proof: 6
Explored 790 nodes (5980 simplex iterations) in 0.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.25597 1.17563
Optimal solution found (tolerance 1.00e-02)
Best objective 1.255969894262e+00, best bound 1.262845628128e+00, gap 0.5474%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpalg1zjdq.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpor39deuo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16524
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.733308e+00, 345 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73331 0 30 1.16524 1.73331 48.8% - 0s
0 0 1.42759 0 31 1.16524 1.42759 22.5% - 0s
0 0 1.42180 0 29 1.16524 1.42180 22.0% - 0s
0 0 1.42175 0 33 1.16524 1.42175 22.0% - 0s
0 0 1.42175 0 31 1.16524 1.42175 22.0% - 0s
0 2 1.42175 0 30 1.16524 1.42175 22.0% - 0s
* 787 106 40 1.1841033 1.23477 4.28% 7.6 0s
Cutting planes:
Gomory: 24
Cover: 8
Implied bound: 17
Flow cover: 21
Inf proof: 15
Explored 937 nodes (7891 simplex iterations) in 0.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.1841 1.16524
Optimal solution found (tolerance 1.00e-02)
Best objective 1.184103311596e+00, best bound 1.195492608089e+00, gap 0.9618%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph0bxn2w0.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzsorh8g6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07656
Presolve removed 312 rows and 204 columns
Presolve time: 0.02s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.712928e+00, 358 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71293 0 33 1.07656 1.71293 59.1% - 0s
0 0 1.40308 0 33 1.07656 1.40308 30.3% - 0s
0 0 1.39936 0 32 1.07656 1.39936 30.0% - 0s
0 0 1.39914 0 30 1.07656 1.39914 30.0% - 0s
0 0 1.39914 0 36 1.07656 1.39914 30.0% - 0s
0 0 1.39914 0 35 1.07656 1.39914 30.0% - 0s
0 2 1.39914 0 35 1.07656 1.39914 30.0% - 0s
H 727 282 1.1613797 1.24190 6.93% 6.5 0s
Cutting planes:
Gomory: 36
Cover: 4
Implied bound: 6
Projected implied bound: 12
MIR: 3
Flow cover: 30
Inf proof: 2
Explored 1182 nodes (11130 simplex iterations) in 1.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.16138 1.07656
Optimal solution found (tolerance 1.00e-02)
Best objective 1.161379659446e+00, best bound 1.161379659446e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6ica4rmk.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm3v00uf0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07499
Presolve removed 326 rows and 213 columns
Presolve time: 0.02s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.657624e+00, 392 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65762 0 38 1.07499 1.65762 54.2% - 0s
0 0 1.34434 0 38 1.07499 1.34434 25.1% - 0s
0 0 1.34108 0 39 1.07499 1.34108 24.8% - 0s
0 0 1.34072 0 40 1.07499 1.34072 24.7% - 0s
0 0 1.34066 0 40 1.07499 1.34066 24.7% - 0s
0 0 1.33987 0 48 1.07499 1.33987 24.6% - 0s
0 0 1.33987 0 46 1.07499 1.33987 24.6% - 0s
0 2 1.33987 0 45 1.07499 1.33987 24.6% - 0s
* 605 228 56 1.1057748 1.19548 8.11% 9.1 0s
Cutting planes:
Gomory: 26
Cover: 30
Implied bound: 26
MIR: 2
Flow cover: 29
Inf proof: 70
Explored 4577 nodes (47867 simplex iterations) in 2.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.10577 1.07499
Optimal solution found (tolerance 1.00e-02)
Best objective 1.105774750983e+00, best bound 1.109420550034e+00, gap 0.3297%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpltsrxewc.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxgd1wpy6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04414
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.573386e+00, 443 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57339 0 37 1.04414 1.57339 50.7% - 0s
0 0 1.26782 0 39 1.04414 1.26782 21.4% - 0s
0 0 1.26431 0 36 1.04414 1.26431 21.1% - 0s
0 0 1.26306 0 45 1.04414 1.26306 21.0% - 0s
0 0 1.26306 0 43 1.04414 1.26306 21.0% - 0s
0 2 1.26306 0 41 1.04414 1.26306 21.0% - 0s
Cutting planes:
Gomory: 29
Cover: 28
Implied bound: 27
MIR: 2
Flow cover: 25
Inf proof: 63
Explored 3848 nodes (34550 simplex iterations) in 2.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.04414
Optimal solution found (tolerance 1.00e-02)
Best objective 1.044137538212e+00, best bound 1.048307732439e+00, gap 0.3994%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzrqx2mg1.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp186unvh_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.985155
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.546049e+00, 445 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54605 0 41 0.98516 1.54605 56.9% - 0s
0 0 1.24146 0 44 0.98516 1.24146 26.0% - 0s
0 0 1.24146 0 44 0.98516 1.24146 26.0% - 0s
0 0 1.23753 0 47 0.98516 1.23753 25.6% - 0s
0 0 1.23739 0 44 0.98516 1.23739 25.6% - 0s
0 0 1.23662 0 47 0.98516 1.23662 25.5% - 0s
0 0 1.23662 0 44 0.98516 1.23662 25.5% - 0s
0 2 1.23662 0 42 0.98516 1.23662 25.5% - 0s
H 781 390 1.0103033 1.11824 10.7% 8.9 0s
* 2299 204 62 1.0127015 1.03567 2.27% 9.7 3s
Cutting planes:
Gomory: 56
Cover: 1
Implied bound: 4
Projected implied bound: 8
Clique: 4
MIR: 9
Flow cover: 21
Inf proof: 9
Explored 2756 nodes (26679 simplex iterations) in 3.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.0127 1.0103 0.985155
Optimal solution found (tolerance 1.00e-02)
Best objective 1.012701534811e+00, best bound 1.022239405072e+00, gap 0.9418%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcao9lnx7.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp99me31ta.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.993278
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.512322e+00, 471 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51232 0 51 0.99328 1.51232 52.3% - 0s
0 0 1.24458 0 48 0.99328 1.24458 25.3% - 0s
0 0 1.24154 0 47 0.99328 1.24154 25.0% - 0s
0 0 1.24139 0 45 0.99328 1.24139 25.0% - 0s
0 0 1.23826 0 60 0.99328 1.23826 24.7% - 0s
0 0 1.23822 0 59 0.99328 1.23822 24.7% - 0s
0 0 1.23745 0 63 0.99328 1.23745 24.6% - 0s
0 0 1.23745 0 57 0.99328 1.23745 24.6% - 0s
0 2 1.23745 0 57 0.99328 1.23745 24.6% - 0s
* 639 340 98 1.0002376 1.13264 13.2% 8.1 0s
* 2599 220 81 1.0014374 1.03427 3.28% 11.5 3s
Cutting planes:
Gomory: 66
Implied bound: 9
Projected implied bound: 24
MIR: 8
Flow cover: 31
Inf proof: 17
Explored 4077 nodes (44225 simplex iterations) in 4.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.00144 1.00024 0.993278
Optimal solution found (tolerance 1.00e-02)
Best objective 1.001437446203e+00, best bound 1.010196414619e+00, gap 0.8746%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpctr8ldul.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi8x7747i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.98567
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.449417e+00, 488 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44942 0 46 0.98567 1.44942 47.0% - 0s
0 0 1.26376 0 57 0.98567 1.26376 28.2% - 0s
0 0 1.26376 0 57 0.98567 1.26376 28.2% - 0s
0 0 1.24697 0 62 0.98567 1.24697 26.5% - 0s
0 0 1.24683 0 63 0.98567 1.24683 26.5% - 0s
0 0 1.24603 0 66 0.98567 1.24603 26.4% - 0s
0 0 1.24603 0 55 0.98567 1.24603 26.4% - 0s
0 2 1.24603 0 55 0.98567 1.24603 26.4% - 0s
H 810 420 0.9868703 1.11327 12.8% 9.1 0s
Cutting planes:
Gomory: 56
Implied bound: 12
Projected implied bound: 12
MIR: 4
Flow cover: 34
Inf proof: 12
Explored 3915 nodes (47788 simplex iterations) in 4.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.98687 0.98567
Optimal solution found (tolerance 1.00e-02)
Best objective 9.868703296724e-01, best bound 9.932487415002e-01, gap 0.6463%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplvuu7185.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpql0f542p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97643
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.437815e+00, 514 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43782 0 49 0.97643 1.43782 47.3% - 0s
0 0 1.26272 0 67 0.97643 1.26272 29.3% - 0s
0 0 1.26269 0 67 0.97643 1.26269 29.3% - 0s
0 0 1.24287 0 68 0.97643 1.24287 27.3% - 0s
0 0 1.24287 0 66 0.97643 1.24287 27.3% - 0s
0 0 1.24235 0 69 0.97643 1.24235 27.2% - 0s
0 0 1.24235 0 65 0.97643 1.24235 27.2% - 0s
0 2 1.24235 0 65 0.97643 1.24235 27.2% - 0s
* 3836 465 81 0.9843113 1.01593 3.21% 12.4 4s
4757 115 cutoff 62 0.98431 0.99504 1.09% 12.8 5s
Cutting planes:
Gomory: 60
Implied bound: 15
Projected implied bound: 12
MIR: 3
Flow cover: 32
Inf proof: 31
Explored 4882 nodes (63149 simplex iterations) in 5.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.984311 0.97643
Optimal solution found (tolerance 1.00e-02)
Best objective 9.843113215036e-01, best bound 9.910135688319e-01, gap 0.6809%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsa016ljy.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpww1edrwo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97411
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.416747e+00, 538 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41675 0 53 0.97411 1.41675 45.4% - 0s
0 0 1.26393 0 73 0.97411 1.26393 29.8% - 0s
0 0 1.26178 0 73 0.97411 1.26178 29.5% - 0s
0 0 1.22540 0 67 0.97411 1.22540 25.8% - 0s
0 0 1.22461 0 73 0.97411 1.22461 25.7% - 0s
0 0 1.22458 0 71 0.97411 1.22458 25.7% - 0s
0 0 1.22399 0 80 0.97411 1.22399 25.7% - 0s
0 0 1.22379 0 77 0.97411 1.22379 25.6% - 0s
0 0 1.22363 0 77 0.97411 1.22363 25.6% - 0s
0 0 1.22355 0 75 0.97411 1.22355 25.6% - 0s
0 0 1.22355 0 62 0.97411 1.22355 25.6% - 0s
0 2 1.22355 0 62 0.97411 1.22355 25.6% - 0s
H 725 405 0.9774309 1.11051 13.6% 11.3 0s
2714 603 cutoff 37 0.97743 1.06920 9.39% 16.3 5s
8174 595 cutoff 52 0.97743 1.00334 2.65% 15.4 10s
Cutting planes:
Gomory: 61
Cover: 1
Implied bound: 16
Projected implied bound: 31
MIR: 5
Flow cover: 34
Inf proof: 75
Explored 9445 nodes (141244 simplex iterations) in 11.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.977431 0.97411
Optimal solution found (tolerance 1.00e-02)
Best objective 9.774309381575e-01, best bound 9.870215054756e-01, gap 0.9812%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptf83ciyy.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd9n_7amc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.976934
Presolve removed 424 rows and 276 columns
Presolve time: 0.03s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.397402e+00, 554 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39740 0 58 0.97693 1.39740 43.0% - 0s
0 0 1.25094 0 70 0.97693 1.25094 28.0% - 0s
0 0 1.25093 0 70 0.97693 1.25093 28.0% - 0s
0 0 1.23238 0 67 0.97693 1.23238 26.1% - 0s
0 0 1.23213 0 71 0.97693 1.23213 26.1% - 0s
0 0 1.22197 0 69 0.97693 1.22197 25.1% - 0s
0 0 1.22157 0 70 0.97693 1.22157 25.0% - 0s
0 0 1.21537 0 71 0.97693 1.21537 24.4% - 0s
0 0 1.21497 0 72 0.97693 1.21497 24.4% - 0s
0 0 1.21497 0 73 0.97693 1.21497 24.4% - 0s
0 0 1.21497 0 70 0.97693 1.21497 24.4% - 0s
0 2 1.21497 0 66 0.97693 1.21497 24.4% - 0s
H 725 427 0.9785649 1.09541 11.9% 11.5 1s
3828 578 cutoff 49 0.97856 1.01043 3.26% 12.0 5s
* 5064 137 93 0.9794360 0.98826 0.90% 11.7 6s
Cutting planes:
Gomory: 55
Cover: 4
Implied bound: 10
Projected implied bound: 33
MIR: 6
Flow cover: 41
Inf proof: 31
Explored 5120 nodes (60593 simplex iterations) in 6.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.979436 0.978565 0.976934
Optimal solution found (tolerance 1.00e-02)
Best objective 9.794360047295e-01, best bound 9.882569204190e-01, gap 0.9006%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1516lbq8.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphctntz7n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.963631
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.360670e+00, 600 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36067 0 56 0.96363 1.36067 41.2% - 0s
0 0 1.21933 0 65 0.96363 1.21933 26.5% - 0s
0 0 1.21772 0 65 0.96363 1.21772 26.4% - 0s
0 0 1.21455 0 68 0.96363 1.21455 26.0% - 0s
0 0 1.21435 0 70 0.96363 1.21435 26.0% - 0s
0 0 1.21249 0 78 0.96363 1.21249 25.8% - 0s
0 0 1.21248 0 78 0.96363 1.21248 25.8% - 0s
0 0 1.21242 0 79 0.96363 1.21242 25.8% - 0s
0 0 1.21242 0 74 0.96363 1.21242 25.8% - 0s
0 2 1.21242 0 74 0.96363 1.21242 25.8% - 0s
3103 470 0.98927 28 57 0.96363 1.02358 6.22% 16.2 5s
Cutting planes:
Gomory: 70
Cover: 4
Implied bound: 19
Projected implied bound: 33
Clique: 1
MIR: 7
Flow cover: 59
Inf proof: 24
Explored 6113 nodes (88305 simplex iterations) in 7.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.963631
Optimal solution found (tolerance 1.00e-02)
Best objective 9.636313506932e-01, best bound 9.715194700436e-01, gap 0.8186%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc1ohu388.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxwena05j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939638
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.310977e+00, 626 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31098 0 55 0.93964 1.31098 39.5% - 0s
0 0 1.17296 0 66 0.93964 1.17296 24.8% - 0s
0 0 1.17140 0 66 0.93964 1.17140 24.7% - 0s
0 0 1.16922 0 74 0.93964 1.16922 24.4% - 0s
0 0 1.16915 0 68 0.93964 1.16915 24.4% - 0s
0 0 1.16753 0 76 0.93964 1.16753 24.3% - 0s
0 0 1.16747 0 76 0.93964 1.16747 24.2% - 0s
0 0 1.16744 0 78 0.93964 1.16744 24.2% - 0s
0 0 1.16744 0 73 0.93964 1.16744 24.2% - 0s
0 2 1.16744 0 71 0.93964 1.16744 24.2% - 0s
2530 354 0.96360 70 38 0.93964 0.99407 5.79% 19.2 5s
Cutting planes:
Gomory: 69
Cover: 2
Implied bound: 14
Projected implied bound: 37
MIR: 10
Flow cover: 59
Inf proof: 34
Explored 6482 nodes (101838 simplex iterations) in 8.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.939638
Optimal solution found (tolerance 1.00e-02)
Best objective 9.396383827628e-01, best bound 9.488269671374e-01, gap 0.9779%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo7kyx0xb.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxj1dr6b0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934589
Presolve removed 466 rows and 303 columns
Presolve time: 0.03s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.292634e+00, 675 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29263 0 59 0.93459 1.29263 38.3% - 0s
0 0 1.19322 0 69 0.93459 1.19322 27.7% - 0s
0 0 1.19171 0 69 0.93459 1.19171 27.5% - 0s
0 0 1.18373 0 70 0.93459 1.18373 26.7% - 0s
0 0 1.18363 0 73 0.93459 1.18363 26.6% - 0s
0 0 1.18192 0 81 0.93459 1.18192 26.5% - 0s
0 0 1.18188 0 82 0.93459 1.18188 26.5% - 0s
0 0 1.18127 0 79 0.93459 1.18127 26.4% - 0s
0 0 1.18105 0 77 0.93459 1.18105 26.4% - 0s
0 0 1.18100 0 80 0.93459 1.18100 26.4% - 0s
0 0 1.18100 0 71 0.93459 1.18100 26.4% - 0s
0 2 1.18100 0 71 0.93459 1.18100 26.4% - 0s
2471 458 0.93565 56 45 0.93459 1.00624 7.67% 19.5 5s
* 6746 1029 106 0.9359267 0.96615 3.23% 16.6 8s
8231 1341 cutoff 71 0.93593 0.96231 2.82% 15.6 10s
*14137 656 103 0.9370534 0.94561 0.91% 14.4 14s
Cutting planes:
Gomory: 80
Cover: 2
Implied bound: 22
Projected implied bound: 41
MIR: 15
Flow cover: 71
Inf proof: 66
Explored 14411 nodes (208126 simplex iterations) in 14.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.937053 0.935927 0.934589
Optimal solution found (tolerance 1.00e-02)
Best objective 9.370533756327e-01, best bound 9.454074919692e-01, gap 0.8915%
Run 8
Seed for training 205
Seed for simulation 152
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.41356613362782224
fun: -0.4135592618231211
message: 'Optimization terminated successfully.'
nfev: 575
nit: 6
status: 0
success: True
x: array([250.99449868, 1. , 4.00001187])
xopt: array([250., 1., 5.])
zopt: array([250., 251., 256.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkbbi6jjd.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0atmvfd9.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.413566
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.129405e+00, 685 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12940 0 78 0.41357 1.12940 173% - 0s
0 0 1.00453 0 82 0.41357 1.00453 143% - 0s
0 0 1.00302 0 84 0.41357 1.00302 143% - 0s
0 0 0.99125 0 84 0.41357 0.99125 140% - 0s
0 0 0.98926 0 87 0.41357 0.98926 139% - 0s
0 0 0.98681 0 81 0.41357 0.98681 139% - 0s
0 0 0.98567 0 81 0.41357 0.98567 138% - 0s
0 0 0.98488 0 81 0.41357 0.98488 138% - 0s
0 0 0.98487 0 80 0.41357 0.98487 138% - 0s
0 0 0.98474 0 82 0.41357 0.98474 138% - 0s
0 0 0.98474 0 78 0.41357 0.98474 138% - 0s
0 2 0.98474 0 74 0.41357 0.98474 138% - 0s
* 315 221 65 0.4846151 0.93602 93.1% 12.9 0s
3191 1500 0.84209 33 83 0.48462 0.89624 84.9% 18.1 5s
6646 3329 0.86791 28 65 0.48462 0.88038 81.7% 21.3 10s
H 8926 3606 0.5914985 0.87387 47.7% 22.6 14s
9199 3685 0.68828 36 72 0.59150 0.87355 47.7% 22.6 15s
H 9631 3744 0.5981103 0.87263 45.9% 23.0 16s
H 9664 3558 0.6171205 0.87254 41.4% 23.1 16s
H 9685 3062 0.6579747 0.87250 32.6% 23.1 16s
*10633 3309 62 0.6608841 0.87044 31.7% 23.3 18s
11118 3452 0.76223 37 61 0.66088 0.86953 31.6% 23.5 20s
H12030 2125 0.7593905 0.86691 14.2% 23.8 22s
*12746 2119 76 0.7630816 0.86467 13.3% 24.0 23s
13304 2199 0.85257 33 85 0.76308 0.86175 12.9% 24.3 25s
15772 2519 0.76983 59 53 0.76308 0.85413 11.9% 24.7 30s
18592 2861 cutoff 39 0.76308 0.84611 10.9% 25.0 35s
20883 3169 cutoff 40 0.76308 0.84045 10.1% 25.1 46s
21976 3329 0.80764 39 75 0.76308 0.83722 9.72% 25.6 50s
24159 3621 infeasible 34 0.76308 0.83079 8.87% 26.7 55s
26035 3950 cutoff 36 0.76308 0.82570 8.21% 27.4 60s
28048 4468 cutoff 42 0.76308 0.82264 7.80% 27.9 65s
30368 5066 0.78417 52 54 0.76308 0.82043 7.52% 28.0 70s
32994 5583 cutoff 43 0.76308 0.81738 7.12% 28.4 75s
35403 6199 0.76784 36 59 0.76308 0.81552 6.87% 28.5 80s
H36903 6508 0.7630816 0.81404 6.68% 28.6 83s
36930 6544 0.80196 57 62 0.76308 0.81404 6.68% 28.6 85s
38500 6789 cutoff 50 0.76308 0.81260 6.49% 28.8 90s
40884 7092 cutoff 38 0.76308 0.81070 6.24% 29.0 95s
43406 7610 cutoff 37 0.76308 0.80915 6.04% 29.0 100s
45691 8082 0.79152 53 58 0.76308 0.80799 5.89% 29.3 105s
48117 8501 0.77694 61 49 0.76308 0.80668 5.71% 29.5 110s
49977 8823 0.76539 62 48 0.76308 0.80598 5.62% 29.8 115s
52370 9217 cutoff 38 0.76308 0.80497 5.49% 29.9 120s
54681 9546 0.78816 46 84 0.76308 0.80403 5.37% 30.1 125s
56557 9888 0.76567 50 56 0.76308 0.80345 5.29% 30.2 130s
58398 10100 0.76566 48 68 0.76308 0.80290 5.22% 30.4 135s
60224 10261 cutoff 52 0.76308 0.80228 5.14% 30.6 140s
62019 10371 cutoff 53 0.76308 0.80157 5.04% 30.9 145s
64227 10453 0.80048 47 67 0.76308 0.80082 4.94% 31.3 150s
H65013 10504 0.7630816 0.80057 4.91% 31.4 153s
65266 10557 0.79977 45 70 0.76308 0.80050 4.90% 31.5 156s
66399 10530 cutoff 47 0.76308 0.80009 4.85% 31.7 160s
68317 10557 0.78222 49 63 0.76308 0.79929 4.74% 31.9 165s
70307 10626 cutoff 49 0.76308 0.79866 4.66% 32.2 170s
72221 10593 0.77118 67 33 0.76308 0.79793 4.57% 32.4 175s
73702 10538 cutoff 40 0.76308 0.79731 4.49% 32.6 180s
75236 10475 0.77482 48 86 0.76308 0.79674 4.41% 32.8 185s
77078 10385 cutoff 49 0.76308 0.79592 4.30% 33.1 190s
78539 10356 cutoff 53 0.76308 0.79533 4.23% 33.3 195s
80586 10336 0.79453 49 75 0.76308 0.79454 4.12% 33.5 200s
82333 10317 cutoff 56 0.76308 0.79392 4.04% 33.7 205s
83816 10258 cutoff 47 0.76308 0.79334 3.97% 33.9 210s
85566 10127 0.78200 53 63 0.76308 0.79252 3.86% 34.1 215s
87307 9974 0.78372 53 46 0.76308 0.79176 3.76% 34.4 220s
88978 9816 cutoff 62 0.76308 0.79098 3.66% 34.5 225s
90661 9655 0.78352 38 80 0.76308 0.79026 3.56% 34.7 230s
*91740 9451 87 0.7642746 0.78980 3.34% 34.8 233s
91952 9481 0.78318 41 86 0.76427 0.78977 3.34% 34.8 235s
93621 9179 0.77562 53 58 0.76427 0.78887 3.22% 35.0 240s
95300 8881 cutoff 50 0.76427 0.78790 3.09% 35.2 245s
96753 8656 cutoff 34 0.76427 0.78718 3.00% 35.3 250s
98032 8411 cutoff 38 0.76427 0.78648 2.91% 35.3 255s
99800 8044 cutoff 40 0.76427 0.78554 2.78% 35.4 260s
101578 7638 cutoff 54 0.76427 0.78444 2.64% 35.6 265s
103230 7465 0.77658 49 87 0.76427 0.78367 2.54% 35.6 270s
105574 7289 cutoff 58 0.76427 0.78263 2.40% 35.5 275s
107891 7166 cutoff 57 0.76427 0.78157 2.26% 35.4 280s
110352 6911 cutoff 43 0.76427 0.78031 2.10% 35.3 285s
112373 6319 cutoff 44 0.76427 0.77877 1.90% 35.4 290s
114818 5805 0.77656 52 79 0.76427 0.77738 1.71% 35.3 295s
117396 5188 infeasible 53 0.76427 0.77584 1.51% 35.2 300s
119918 4470 cutoff 55 0.76427 0.77422 1.30% 35.0 305s
122681 3552 infeasible 58 0.76427 0.77205 1.02% 34.8 310s
125989 2127 cutoff 54 0.76427 0.76939 0.67% 34.5 315s
Cutting planes:
Gomory: 120
Cover: 6
Implied bound: 126
Projected implied bound: 26
Clique: 1
MIR: 37
Flow cover: 88
Inf proof: 520
Explored 129165 nodes (4401820 simplex iterations) in 319.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.764275 0.763082 0.763082 ... 0.591499
Optimal solution found (tolerance 0.00e+00)
Best objective 7.642746027941e-01, best bound 7.642746027941e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzj9rzhdk.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzzrzy9vw.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 466 rows and 333 columns
Presolve time: 0.00s
Presolved: 165 rows, 208 columns, 825 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.5150414e+01 4.122500e+02 0.000000e+00 0s
101 1.6683839e+01 0.000000e+00 0.000000e+00 0s
Solved in 101 iterations and 0.01 seconds
Optimal objective 1.668383856e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.81679424e-03, -1.22301231e-02, -2.56990374e-04]])
fopt: 1.3553597865657727
fun: -1.3646017389071088
message: 'Optimization terminated successfully.'
nfev: 123
nit: 2
status: 0
success: True
x: array([ 29.08728989, -87.99987691, -0.93729343])
xopt: array([29., 0., 0.])
zopt: array([29., 29., 29.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.10963436e-04, 8.07609056e-06, 8.07609056e-06]])
fopt: 1.5260815393484144
fun: -1.5368487198722116
message: 'Optimization terminated successfully.'
nfev: 174
nit: 2
status: 0
success: True
x: array([53.24339307, -0.99998437, -0.99998451])
xopt: array([53., 0., 0.])
zopt: array([53., 53., 53.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.70269938, 0.01398143, -0. ]])
fopt: 1.602036450487455
fun: -1.6055336327280312
message: 'Optimization terminated successfully.'
nfev: 274
nit: 3
status: 0
success: True
x: array([73.02255007, -0.81718887, 1. ])
xopt: array([73., 0., 1.])
zopt: array([73., 73., 74.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.52508001e-04, -2.11221564e-05, -0.00000000e+00]])
fopt: 1.2873881870420998
fun: -1.2913423301507811
message: 'Optimization terminated successfully.'
nfev: 219
nit: 2
status: 0
success: True
x: array([73.43389068, 11.03101828, 1. ])
xopt: array([73., 11., 1.])
zopt: array([73., 84., 85.])
*******************************************
Period: 6
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 1.3255901472036609
fun: -1.332321584911373
message: 'Optimization terminated successfully.'
nfev: 233
nit: 2
status: 0
success: True
x: array([ 1.03003427e+02, -5.04949799e-04, 1.00000000e+00])
xopt: array([103., 0., 1.])
zopt: array([103., 103., 104.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1505
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.24397244e-06, -3.97600169e-08, 2.29026824e-08]])
fopt: 1.2609401097772748
fun: -1.2644361243534046
message: 'Optimization terminated successfully.'
nfev: 308
nit: 3
status: 0
success: True
x: array([142.50975632, 2.07107304, 1.38196602])
xopt: array([142., 2., 1.])
zopt: array([142., 144., 145.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1488
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.10342872e-01, -4.37013541e-10, 0.00000000e+00]])
fopt: 1.052860218475689
fun: -1.0543735054127978
message: 'Optimization terminated successfully.'
nfev: 384
nit: 4
status: 0
success: True
x: array([162.95527458, 1.02062194, 1.00000008])
xopt: array([162., 2., 1.])
zopt: array([162., 164., 165.])
*******************************************
Period: 11
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.03393771, 0.0272176 , 4. ]])
fopt: 0.9750972606368531
fun: -0.9776337394839604
message: 'Optimization terminated successfully.'
nfev: 498
nit: 7
status: 0
success: True
x: array([164.46551167, -0.46885986, 18. ])
xopt: array([164., 0., 18.])
zopt: array([164., 164., 182.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.865250152240818
fun: -0.8668086960851903
message: 'Optimization terminated successfully.'
nfev: 414
nit: 4
status: 0
success: True
x: array([162.99123401, 1.00635743, 1.00000001])
xopt: array([162., 2., 1.])
zopt: array([162., 164., 165.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7977329349719672
fun: -0.7992092609921143
message: 'Optimization terminated successfully.'
nfev: 645
nit: 7
status: 0
success: True
x: array([162.99996506, 1.00801714, 1.00312152])
xopt: array([162., 2., 1.])
zopt: array([162., 164., 165.])
*******************************************
Period: 14
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.84878376e-04, -4.41210375e-08, -0.00000000e+00]])
fopt: 0.7253424026522516
fun: -0.7277485355956148
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([164.06347249, 1.00813053, 1. ])
xopt: array([164., 1., 1.])
zopt: array([164., 165., 166.])
*******************************************
Period: 15
direc: array([[-2.15961625e-06, -1.61682382e-11, 2.15115391e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.68305102e-15, 2.81285178e-14, -1.38814247e-10]])
fopt: 0.6729341967717416
fun: -0.6751902613811656
message: 'Optimization terminated successfully.'
nfev: 432
nit: 4
status: 0
success: True
x: array([163.04819254, 1.00117234, 1.04021291])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 16
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.83419134e-09, -9.16735859e-14, -2.55262825e-17]])
fopt: 0.6219101576323515
fun: -0.6227284798255777
message: 'Optimization terminated successfully.'
nfev: 231
nit: 2
status: 0
success: True
x: array([163.67617519, 1.00807841, 1.00000226])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.80303674e-06, -1.61534744e-09, -0.00000000e+00]])
fopt: 0.5780544937755644
fun: -0.5775857640580417
message: 'Optimization terminated successfully.'
nfev: 256
nit: 2
status: 0
success: True
x: array([163.85010068, 1.14589802, 1. ])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 18
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.22848978e-01, -5.81105153e-06, -4.43270268e-11]])
fopt: 0.5335090636829102
fun: -0.5337847584284812
message: 'Optimization terminated successfully.'
nfev: 217
nit: 2
status: 0
success: True
x: array([163.78991439, 1.00770035, 1.00000006])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 19
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.12533686e-07, -2.55810812e-11, -3.35247275e-12]])
fopt: 0.5035531805967838
fun: -0.5038257513100712
message: 'Optimization terminated successfully.'
nfev: 240
nit: 2
status: 0
success: True
x: array([163.90223756, 1.00812929, 1.00106554])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 20
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.4676895590907568
fun: -0.4677140735215859
message: 'Optimization terminated successfully.'
nfev: 257
nit: 2
status: 0
success: True
x: array([163.61720972, 1.14589803, 1. ])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.19644223e-01, -2.60149586e-05, -6.70434443e-09]])
fopt: 0.4406567855265356
fun: -0.44132844761261936
message: 'Optimization terminated successfully.'
nfev: 348
nit: 3
status: 0
success: True
x: array([162.88801162, 1.00045069, 1.00000418])
xopt: array([162., 2., 1.])
zopt: array([162., 164., 165.])
*******************************************
Period: 22
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.86751905e-09, -1.67782944e-12, -0.00000000e+00]])
fopt: 0.46694918275477143
fun: -0.4672766506272951
message: 'Optimization terminated successfully.'
nfev: 279
nit: 2
status: 0
success: True
x: array([163.39275231, 1.14589803, 1. ])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 23
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.46192509815077526
fun: -0.4627588128537875
message: 'Optimization terminated successfully.'
nfev: 254
nit: 3
status: 0
success: True
x: array([1.62425675e+02, 2.00706211e+00, 3.10559431e-03])
xopt: array([162., 2., 0.])
zopt: array([162., 164., 164.])
*******************************************
Period: 24
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.49819896265052954
fun: -0.4986115536925067
message: 'Optimization terminated successfully.'
nfev: 268
nit: 2
status: 0
success: True
x: array([163.996285 , 1.00813062, 1. ])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 25
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.38674263e-02, -0.00000000e+00, -4.54753577e-07]])
fopt: 0.5166938234203543
fun: -0.5166363964811446
message: 'Optimization terminated successfully.'
nfev: 257
nit: 2
status: 0
success: True
x: array([163.9722393 , 1. , 1.00310516])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 26
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.5091642616198244
fun: -0.5081959567057901
message: 'Optimization terminated successfully.'
nfev: 216
nit: 2
status: 0
success: True
x: array([162.73169356, 2. , 1. ])
xopt: array([162., 2., 1.])
zopt: array([162., 164., 165.])
*******************************************
Period: 27
direc: array([[-7.79378895e-01, -3.89312626e-05, -0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.5038176541868331
fun: -0.5049457826985354
message: 'Optimization terminated successfully.'
nfev: 578
nit: 5
status: 0
success: True
x: array([162.99477456, 1.00024036, 1.05188209])
xopt: array([162., 2., 1.])
zopt: array([162., 164., 165.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.82070763e-02, -2.40745920e-06, -2.32196365e-11]])
fopt: 0.4902627661949379
fun: -0.491256255819595
message: 'Optimization terminated successfully.'
nfev: 241
nit: 2
status: 0
success: True
x: array([163.75966166, 1.0081282 , 1.00000008])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 29
direc: array([[0. , 0. , 1. ],
[0. , 1. , 0. ],
[0.20976837, 0. , 0. ]])
fopt: 0.505480411824638
fun: -0.5060434623125679
message: 'Optimization terminated successfully.'
nfev: 282
nit: 2
status: 0
success: True
x: array([162.99997809, 1. , 1. ])
xopt: array([163., 1., 1.])
zopt: array([163., 164., 165.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5mvscb72.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc1awlzuo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4e4uci1_.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsgwc052i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2083
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.355360e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.3553598 1.35536 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35536 1.2083
Optimal solution found (tolerance 1.00e-02)
Best objective 1.355359786566e+00, best bound 1.355359786566e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvvyoemd4.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl6b9nb7a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.756739
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 1.676997e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67700 0 6 0.75674 1.67700 122% - 0s
H 0 0 1.4805090 1.67700 13.3% - 0s
0 0 1.59677 0 1 1.48051 1.59677 7.85% - 0s
H 0 0 1.5260815 1.59677 4.63% - 0s
Cutting planes:
Gomory: 3
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (31 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.52608 1.48051 0.756739
Optimal solution found (tolerance 1.00e-02)
Best objective 1.526081539467e+00, best bound 1.526081539467e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqgb8649t.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp00axw1cu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.86079
Presolve removed 108 rows and 76 columns
Presolve time: 0.00s
Presolved: 83 rows, 66 columns, 272 nonzeros
Variable types: 30 continuous, 36 integer (31 binary)
Root relaxation: objective 1.955138e+00, 47 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95514 0 3 0.86079 1.95514 127% - 0s
H 0 0 1.6029859 1.95514 22.0% - 0s
0 0 1.68890 0 1 1.60299 1.68890 5.36% - 0s
0 0 1.68890 0 1 1.60299 1.68890 5.36% - 0s
0 0 1.68890 0 1 1.60299 1.68890 5.36% - 0s
0 0 cutoff 0 1.60299 1.60299 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (83 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.60299 0.86079
Optimal solution found (tolerance 1.00e-02)
Best objective 1.602985877942e+00, best bound 1.602985877942e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp17gndx34.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfub6kyp0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2616
Presolve removed 171 rows and 121 columns
Presolve time: 0.00s
Presolved: 66 rows, 54 columns, 227 nonzeros
Variable types: 29 continuous, 25 integer (22 binary)
Root relaxation: objective 1.375451e+00, 34 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37545 0 6 1.26160 1.37545 9.02% - 0s
H 0 0 1.2881477 1.37545 6.78% - 0s
0 0 cutoff 0 1.28815 1.28815 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 3
Flow cover: 2
Explored 1 nodes (40 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.28815 1.2616
Optimal solution found (tolerance 1.00e-02)
Best objective 1.288147729006e+00, best bound 1.288147729006e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2zcc4sl4.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8vm1t59t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97937
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.773158e+00, 87 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77316 0 6 0.97937 1.77316 81.1% - 0s
H 0 0 1.4299370 1.77316 24.0% - 0s
0 0 1.57613 0 4 1.42994 1.57613 10.2% - 0s
H 0 0 1.4507388 1.57613 8.64% - 0s
0 0 1.57530 0 5 1.45074 1.57530 8.59% - 0s
0 0 1.57530 0 6 1.45074 1.57530 8.59% - 0s
0 0 1.49361 0 1 1.45074 1.49361 2.96% - 0s
H 0 0 1.4531637 1.49361 2.78% - 0s
0 0 1.49361 0 1 1.45316 1.49361 2.78% - 0s
0 0 1.49361 0 1 1.45316 1.49361 2.78% - 0s
0 0 cutoff 0 1.45316 1.45316 0.00% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
Explored 1 nodes (160 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.45316 1.45074 1.42994 0.97937
Optimal solution found (tolerance 1.00e-02)
Best objective 1.453163660713e+00, best bound 1.453163660713e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplq0zeahq.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4124eoh3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12506
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.877789e+00, 105 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87779 0 7 1.12506 1.87779 66.9% - 0s
H 0 0 1.5036891 1.87779 24.9% - 0s
0 0 1.70047 0 3 1.50369 1.70047 13.1% - 0s
0 0 1.65138 0 3 1.50369 1.65138 9.82% - 0s
0 0 1.58954 0 3 1.50369 1.58954 5.71% - 0s
0 0 1.58940 0 3 1.50369 1.58940 5.70% - 0s
0 0 1.58939 0 3 1.50369 1.58939 5.70% - 0s
0 0 1.58938 0 2 1.50369 1.58938 5.70% - 0s
0 0 1.58938 0 3 1.50369 1.58938 5.70% - 0s
0 0 1.58938 0 3 1.50369 1.58938 5.70% - 0s
H 0 0 1.5073532 1.58938 5.44% - 0s
0 0 1.58938 0 1 1.50735 1.58938 5.44% - 0s
0 0 cutoff 0 1.50735 1.50735 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Explored 1 nodes (200 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.50735 1.50369 1.12506
Optimal solution found (tolerance 1.00e-02)
Best objective 1.507353220320e+00, best bound 1.507353220320e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv005ipms.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppm_hsr7p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22805
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.918854e+00, 133 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91885 0 10 1.22805 1.91885 56.3% - 0s
H 0 0 1.5187605 1.91885 26.3% - 0s
0 0 1.80108 0 13 1.51876 1.80108 18.6% - 0s
0 0 1.75628 0 5 1.51876 1.75628 15.6% - 0s
0 0 1.71295 0 4 1.51876 1.71295 12.8% - 0s
0 0 1.71209 0 4 1.51876 1.71209 12.7% - 0s
0 0 1.71186 0 4 1.51876 1.71186 12.7% - 0s
0 0 1.71186 0 4 1.51876 1.71186 12.7% - 0s
0 0 1.70820 0 1 1.51876 1.70820 12.5% - 0s
* 0 0 0 1.5227578 1.52276 0.00% - 0s
Explored 1 nodes (275 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.52276 1.51876 1.22805
Optimal solution found (tolerance 1.00e-02)
Best objective 1.522757810936e+00, best bound 1.522757810936e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_2g54i6h.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgfj0pw3x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25299
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.958320e+00, 156 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95832 0 14 1.25299 1.95832 56.3% - 0s
H 0 0 1.4692918 1.95832 33.3% - 0s
0 0 1.80293 0 15 1.46929 1.80293 22.7% - 0s
0 0 1.80289 0 17 1.46929 1.80289 22.7% - 0s
0 0 1.78385 0 17 1.46929 1.78385 21.4% - 0s
0 0 1.78384 0 17 1.46929 1.78384 21.4% - 0s
0 0 1.78186 0 15 1.46929 1.78186 21.3% - 0s
0 0 1.78185 0 17 1.46929 1.78185 21.3% - 0s
0 0 1.78175 0 14 1.46929 1.78175 21.3% - 0s
0 0 1.78175 0 13 1.46929 1.78175 21.3% - 0s
0 2 1.78175 0 13 1.46929 1.78175 21.3% - 0s
* 35 3 13 1.4935753 1.54472 3.42% 5.3 0s
Cutting planes:
Gomory: 4
Implied bound: 3
MIR: 2
Flow cover: 12
Explored 44 nodes (513 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.49358 1.46929 1.25299
Optimal solution found (tolerance 1.00e-02)
Best objective 1.493575334378e+00, best bound 1.493575334378e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5kpp9e0q.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfzhoij4s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32092
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.774185e+00, 179 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77419 0 16 1.32092 1.77419 34.3% - 0s
0 0 1.62512 0 16 1.32092 1.62512 23.0% - 0s
0 0 1.62511 0 18 1.32092 1.62511 23.0% - 0s
0 0 1.62180 0 19 1.32092 1.62180 22.8% - 0s
0 0 1.62179 0 19 1.32092 1.62179 22.8% - 0s
0 0 1.62052 0 29 1.32092 1.62052 22.7% - 0s
0 0 1.62052 0 29 1.32092 1.62052 22.7% - 0s
0 0 1.62052 0 29 1.32092 1.62052 22.7% - 0s
0 2 1.62052 0 29 1.32092 1.62052 22.7% - 0s
H 27 6 1.3366123 1.39376 4.28% 7.3 0s
Cutting planes:
Gomory: 6
Implied bound: 5
MIR: 4
Flow cover: 15
Explored 41 nodes (585 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33661 1.32092
Optimal solution found (tolerance 1.00e-02)
Best objective 1.336612265743e+00, best bound 1.336789344605e+00, gap 0.0132%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpymspvt08.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf14p3pr4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20379
Presolve removed 214 rows and 141 columns
Presolve time: 0.00s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.651689e+00, 208 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65169 0 19 1.20379 1.65169 37.2% - 0s
0 0 1.49556 0 25 1.20379 1.49556 24.2% - 0s
0 0 1.49555 0 27 1.20379 1.49555 24.2% - 0s
0 0 1.49288 0 29 1.20379 1.49288 24.0% - 0s
0 0 1.49287 0 29 1.20379 1.49287 24.0% - 0s
0 0 1.49287 0 31 1.20379 1.49287 24.0% - 0s
0 0 1.49287 0 31 1.20379 1.49287 24.0% - 0s
0 0 1.49287 0 31 1.20379 1.49287 24.0% - 0s
H 0 0 1.2299141 1.49287 21.4% - 0s
0 2 1.49287 0 26 1.22991 1.49287 21.4% - 0s
Cutting planes:
Gomory: 6
Implied bound: 6
MIR: 2
Flow cover: 18
Explored 54 nodes (726 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.22991 1.20379
Optimal solution found (tolerance 1.00e-02)
Best objective 1.229914144626e+00, best bound 1.229914144626e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmlufa8ba.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpty697mk6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08528
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.619642e+00, 227 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61964 0 22 1.08528 1.61964 49.2% - 0s
0 0 1.51567 0 25 1.08528 1.51567 39.7% - 0s
0 0 1.51565 0 25 1.08528 1.51565 39.7% - 0s
0 0 1.50053 0 28 1.08528 1.50053 38.3% - 0s
0 0 1.49946 0 30 1.08528 1.49946 38.2% - 0s
0 0 1.49779 0 31 1.08528 1.49779 38.0% - 0s
0 0 1.49778 0 32 1.08528 1.49778 38.0% - 0s
0 0 1.49749 0 31 1.08528 1.49749 38.0% - 0s
0 0 1.49749 0 31 1.08528 1.49749 38.0% - 0s
0 1 1.49749 0 26 1.08528 1.49749 38.0% - 0s
* 139 41 25 1.1704976 1.28040 9.39% 6.9 0s
* 215 48 22 1.1713938 1.25633 7.25% 6.0 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 10
MIR: 4
Flow cover: 19
Inf proof: 7
Network: 1
Explored 438 nodes (2932 simplex iterations) in 0.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.17139 1.1705 1.08528
Optimal solution found (tolerance 1.00e-02)
Best objective 1.171393762357e+00, best bound 1.171393762357e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp88931peu.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6o_135n_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07694
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.494940e+00, 243 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49494 0 24 1.07694 1.49494 38.8% - 0s
0 0 1.39048 0 20 1.07694 1.39048 29.1% - 0s
0 0 1.39046 0 20 1.07694 1.39046 29.1% - 0s
0 0 1.37945 0 21 1.07694 1.37945 28.1% - 0s
0 0 1.37852 0 23 1.07694 1.37852 28.0% - 0s
0 0 1.37726 0 27 1.07694 1.37726 27.9% - 0s
0 0 1.37718 0 28 1.07694 1.37718 27.9% - 0s
0 0 1.37692 0 28 1.07694 1.37692 27.9% - 0s
0 0 1.37692 0 24 1.07694 1.37692 27.9% - 0s
0 2 1.37692 0 24 1.07694 1.37692 27.9% - 0s
* 262 15 23 1.0779319 1.12451 4.32% 5.5 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 13
MIR: 4
Flow cover: 22
Inf proof: 5
Explored 373 nodes (2389 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.07793 1.07694
Optimal solution found (tolerance 1.00e-02)
Best objective 1.077931942398e+00, best bound 1.077931942398e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4z1i655d.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgrs0yigf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.970265
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.492739e+00, 275 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49274 0 25 0.97027 1.49274 53.8% - 0s
0 0 1.39820 0 20 0.97027 1.39820 44.1% - 0s
0 0 1.39819 0 20 0.97027 1.39819 44.1% - 0s
0 0 1.38743 0 19 0.97027 1.38743 43.0% - 0s
0 0 1.38656 0 21 0.97027 1.38656 42.9% - 0s
0 0 1.38511 0 23 0.97027 1.38511 42.8% - 0s
0 0 1.38510 0 24 0.97027 1.38510 42.8% - 0s
0 0 1.38495 0 22 0.97027 1.38495 42.7% - 0s
0 0 1.38495 0 21 0.97027 1.38495 42.7% - 0s
0 2 1.38495 0 21 0.97027 1.38495 42.7% - 0s
* 142 76 27 0.9928606 1.19426 20.3% 7.0 0s
* 294 79 31 1.0557057 1.19172 12.9% 6.7 0s
* 890 88 28 1.0628044 1.15854 9.01% 6.9 0s
* 1033 62 25 1.0790424 1.13319 5.02% 6.9 0s
* 1036 59 26 1.0825516 1.13319 4.68% 6.9 0s
Cutting planes:
Gomory: 14
Cover: 7
Implied bound: 19
MIR: 3
Flow cover: 22
Inf proof: 28
Explored 1209 nodes (8804 simplex iterations) in 0.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.08255 1.07904 1.0628 ... 0.970265
Optimal solution found (tolerance 1.00e-02)
Best objective 1.082551583653e+00, best bound 1.082551583653e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqmo9iv0w.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp78v0ubmb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.987095
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.466468e+00, 332 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46647 0 31 0.98709 1.46647 48.6% - 0s
0 0 1.36781 0 25 0.98709 1.36781 38.6% - 0s
0 0 1.36781 0 25 0.98709 1.36781 38.6% - 0s
0 0 1.35934 0 31 0.98709 1.35934 37.7% - 0s
0 0 1.35848 0 31 0.98709 1.35848 37.6% - 0s
0 0 1.35691 0 31 0.98709 1.35691 37.5% - 0s
0 0 1.35632 0 33 0.98709 1.35632 37.4% - 0s
0 0 1.35557 0 36 0.98709 1.35557 37.3% - 0s
0 0 1.35535 0 33 0.98709 1.35535 37.3% - 0s
0 0 1.35419 0 34 0.98709 1.35419 37.2% - 0s
0 0 1.35419 0 34 0.98709 1.35419 37.2% - 0s
0 0 1.35419 0 34 0.98709 1.35419 37.2% - 0s
0 0 1.35419 0 26 0.98709 1.35419 37.2% - 0s
0 2 1.35419 0 26 0.98709 1.35419 37.2% - 0s
* 153 84 31 1.0574664 1.18660 12.2% 7.4 0s
* 1510 79 29 1.0586318 1.10881 4.74% 6.1 0s
Cutting planes:
Gomory: 11
Cover: 9
Implied bound: 15
MIR: 9
Flow cover: 30
Inf proof: 22
Explored 1697 nodes (10799 simplex iterations) in 0.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.05863 1.05747 0.987095
Optimal solution found (tolerance 1.00e-02)
Best objective 1.058631801067e+00, best bound 1.058799868700e+00, gap 0.0159%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc0cyo5v6.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpda0sgxay.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939552
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.489810e+00, 333 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48981 0 31 0.93955 1.48981 58.6% - 0s
0 0 1.39563 0 26 0.93955 1.39563 48.5% - 0s
0 0 1.39563 0 26 0.93955 1.39563 48.5% - 0s
0 0 1.38728 0 33 0.93955 1.38728 47.7% - 0s
0 0 1.38644 0 33 0.93955 1.38644 47.6% - 0s
0 0 1.38635 0 36 0.93955 1.38635 47.6% - 0s
0 0 1.38570 0 36 0.93955 1.38570 47.5% - 0s
0 0 1.38565 0 37 0.93955 1.38565 47.5% - 0s
0 0 1.38565 0 38 0.93955 1.38565 47.5% - 0s
0 0 1.38565 0 29 0.93955 1.38565 47.5% - 0s
0 2 1.38565 0 29 0.93955 1.38565 47.5% - 0s
* 1660 597 44 1.0622768 1.17572 10.7% 8.6 1s
Cutting planes:
Gomory: 27
Cover: 2
Implied bound: 7
Projected implied bound: 7
Clique: 1
MIR: 6
Flow cover: 19
Inf proof: 7
Explored 2476 nodes (20505 simplex iterations) in 2.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.06228 0.939552
Optimal solution found (tolerance 1.00e-02)
Best objective 1.062276802472e+00, best bound 1.069356513337e+00, gap 0.6665%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3wyh1a_f.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptz7b14_d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.965073
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.473841e+00, 333 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47384 0 33 0.96507 1.47384 52.7% - 0s
0 0 1.37599 0 27 0.96507 1.37599 42.6% - 0s
0 0 1.37598 0 27 0.96507 1.37598 42.6% - 0s
0 0 1.37392 0 27 0.96507 1.37392 42.4% - 0s
0 0 1.37320 0 29 0.96507 1.37320 42.3% - 0s
0 0 1.37262 0 30 0.96507 1.37262 42.2% - 0s
0 0 1.37207 0 30 0.96507 1.37207 42.2% - 0s
0 0 1.37200 0 34 0.96507 1.37200 42.2% - 0s
0 0 1.37193 0 31 0.96507 1.37193 42.2% - 0s
0 0 1.37193 0 31 0.96507 1.37193 42.2% - 0s
0 0 1.37193 0 32 0.96507 1.37193 42.2% - 0s
0 0 1.37193 0 32 0.96507 1.37193 42.2% - 0s
0 2 1.37193 0 32 0.96507 1.37193 42.2% - 0s
* 1239 325 45 0.9688337 1.17569 21.4% 6.8 0s
* 1402 329 44 1.0390179 1.17275 12.9% 6.7 0s
* 1678 305 51 1.0424971 1.06932 2.57% 6.7 1s
Explored 1736 nodes (12178 simplex iterations) in 1.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.0425 1.03902 0.968834 0.965073
Optimal solution found (tolerance 1.00e-02)
Best objective 1.042497144507e+00, best bound 1.051826688336e+00, gap 0.8949%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm5jmq2ni.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp__8x6yqf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.948404
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.465529e+00, 363 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46553 0 37 0.94840 1.46553 54.5% - 0s
0 0 1.37685 0 35 0.94840 1.37685 45.2% - 0s
0 0 1.37384 0 32 0.94840 1.37384 44.9% - 0s
0 0 1.36699 0 34 0.94840 1.36699 44.1% - 0s
0 0 1.36616 0 33 0.94840 1.36616 44.0% - 0s
0 0 1.36570 0 36 0.94840 1.36570 44.0% - 0s
0 0 1.36514 0 36 0.94840 1.36514 43.9% - 0s
0 0 1.36425 0 37 0.94840 1.36425 43.8% - 0s
0 0 1.36425 0 40 0.94840 1.36425 43.8% - 0s
0 0 1.36425 0 40 0.94840 1.36425 43.8% - 0s
0 0 1.36425 0 38 0.94840 1.36425 43.8% - 0s
0 2 1.36425 0 38 0.94840 1.36425 43.8% - 0s
* 1339 281 53 0.9567920 1.09351 14.3% 7.9 1s
* 1463 194 57 0.9959867 1.07690 8.12% 7.6 1s
* 1506 134 57 1.0129509 1.07320 5.95% 7.6 1s
* 1547 100 60 1.0178171 1.07095 5.22% 7.5 1s
* 1635 13 55 1.0228779 1.07095 4.70% 7.4 1s
* 1658 8 52 1.0267612 1.07095 4.30% 7.3 1s
Explored 1742 nodes (13153 simplex iterations) in 1.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.02676 1.02288 1.01782 ... 0.948404
Optimal solution found (tolerance 1.00e-02)
Best objective 1.026761228724e+00, best bound 1.026761228724e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4pbsvvl1.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq_z7i822.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.96602
Presolve removed 326 rows and 213 columns
Presolve time: 0.02s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.387042e+00, 414 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38704 0 38 0.96602 1.38704 43.6% - 0s
0 0 1.29213 0 39 0.96602 1.29213 33.8% - 0s
0 0 1.29206 0 39 0.96602 1.29206 33.8% - 0s
0 0 1.28565 0 44 0.96602 1.28565 33.1% - 0s
0 0 1.28497 0 42 0.96602 1.28497 33.0% - 0s
0 0 1.28404 0 43 0.96602 1.28404 32.9% - 0s
0 0 1.28403 0 44 0.96602 1.28403 32.9% - 0s
0 0 1.28403 0 44 0.96602 1.28403 32.9% - 0s
0 0 1.28403 0 40 0.96602 1.28403 32.9% - 0s
0 1 1.28403 0 40 0.96602 1.28403 32.9% - 0s
Cutting planes:
Gomory: 19
Cover: 29
Implied bound: 51
MIR: 2
Flow cover: 35
Inf proof: 47
Explored 4474 nodes (33761 simplex iterations) in 2.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.96602
Optimal solution found (tolerance 1.00e-02)
Best objective 9.660195259053e-01, best bound 9.709032055104e-01, gap 0.5055%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmayqocqr.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz9r8qjp_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.907033
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.368223e+00, 470 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36822 0 46 0.90703 1.36822 50.8% - 0s
0 0 1.27063 0 53 0.90703 1.27063 40.1% - 0s
0 0 1.27058 0 53 0.90703 1.27058 40.1% - 0s
0 0 1.26823 0 57 0.90703 1.26823 39.8% - 0s
0 0 1.26764 0 54 0.90703 1.26764 39.8% - 0s
0 0 1.26727 0 55 0.90703 1.26727 39.7% - 0s
0 0 1.26724 0 56 0.90703 1.26724 39.7% - 0s
0 0 1.26718 0 58 0.90703 1.26718 39.7% - 0s
0 0 1.26718 0 50 0.90703 1.26718 39.7% - 0s
0 2 1.26718 0 50 0.90703 1.26718 39.7% - 0s
* 2265 310 66 0.9442525 1.00093 6.00% 9.7 2s
* 2913 143 60 0.9451265 0.96549 2.15% 9.6 3s
Cutting planes:
Gomory: 44
Cover: 7
Implied bound: 14
Projected implied bound: 8
MIR: 10
Flow cover: 27
Inf proof: 20
Explored 3189 nodes (31249 simplex iterations) in 3.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.945127 0.944252 0.907033
Optimal solution found (tolerance 1.00e-02)
Best objective 9.451265150000e-01, best bound 9.506463786896e-01, gap 0.5840%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppkfsvz3u.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfdz28qsh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87379
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.329567e+00, 454 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32957 0 49 0.87379 1.32957 52.2% - 0s
0 0 1.22407 0 49 0.87379 1.22407 40.1% - 0s
0 0 1.22235 0 49 0.87379 1.22235 39.9% - 0s
0 0 1.21821 0 53 0.87379 1.21821 39.4% - 0s
0 0 1.21772 0 55 0.87379 1.21772 39.4% - 0s
0 0 1.21688 0 58 0.87379 1.21688 39.3% - 0s
0 0 1.21685 0 59 0.87379 1.21685 39.3% - 0s
0 0 1.21610 0 59 0.87379 1.21610 39.2% - 0s
0 0 1.21609 0 59 0.87379 1.21609 39.2% - 0s
0 0 1.21606 0 62 0.87379 1.21606 39.2% - 0s
0 0 1.21606 0 54 0.87379 1.21606 39.2% - 0s
0 2 1.21606 0 54 0.87379 1.21606 39.2% - 0s
* 746 343 66 0.8822531 1.04447 18.4% 9.0 0s
* 3308 252 75 0.9025058 0.95530 5.85% 10.4 3s
* 4107 154 73 0.9028459 0.93238 3.27% 9.7 4s
* 4525 3 66 0.9031390 0.90956 0.71% 9.4 4s
Cutting planes:
Gomory: 26
Cover: 3
Implied bound: 7
Projected implied bound: 7
MIR: 4
Flow cover: 17
Inf proof: 5
Explored 4551 nodes (43656 simplex iterations) in 4.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.903139 0.902846 0.902506 ... 0.87379
Optimal solution found (tolerance 1.00e-02)
Best objective 9.031390129159e-01, best bound 9.048445294984e-01, gap 0.1888%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_64r8ck3.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9zwf68nw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895368
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.307365e+00, 493 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30737 0 48 0.89537 1.30737 46.0% - 0s
0 0 1.20405 0 48 0.89537 1.20405 34.5% - 0s
0 0 1.20400 0 48 0.89537 1.20400 34.5% - 0s
0 0 1.20230 0 53 0.89537 1.20230 34.3% - 0s
0 0 1.20230 0 53 0.89537 1.20230 34.3% - 0s
0 0 1.20201 0 52 0.89537 1.20201 34.2% - 0s
0 0 1.20201 0 45 0.89537 1.20201 34.2% - 0s
0 2 1.20201 0 45 0.89537 1.20201 34.2% - 0s
3443 487 cutoff 43 0.89537 0.98957 10.5% 14.2 5s
* 6286 8 70 0.8953978 0.89991 0.50% 12.8 7s
Cutting planes:
Gomory: 59
Cover: 2
Implied bound: 21
Projected implied bound: 16
MIR: 13
Flow cover: 41
Inf proof: 35
Explored 6311 nodes (81697 simplex iterations) in 7.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.895398 0.895368
Optimal solution found (tolerance 1.00e-02)
Best objective 8.953977802608e-01, best bound 8.973687803826e-01, gap 0.2201%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpasl_tmr7.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiqw7407f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869695
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.268031e+00, 489 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26803 0 48 0.86970 1.26803 45.8% - 0s
0 0 1.16693 0 48 0.86970 1.16693 34.2% - 0s
0 0 1.16688 0 48 0.86970 1.16688 34.2% - 0s
0 0 1.16019 0 55 0.86970 1.16019 33.4% - 0s
0 0 1.16019 0 55 0.86970 1.16019 33.4% - 0s
0 0 1.15905 0 55 0.86970 1.15905 33.3% - 0s
0 0 1.15905 0 55 0.86970 1.15905 33.3% - 0s
0 0 1.15840 0 59 0.86970 1.15840 33.2% - 0s
0 0 1.15840 0 59 0.86970 1.15840 33.2% - 0s
0 0 1.15840 0 55 0.86970 1.15840 33.2% - 0s
0 2 1.15840 0 53 0.86970 1.15840 33.2% - 0s
Cutting planes:
Gomory: 49
Cover: 6
Implied bound: 12
Projected implied bound: 10
MIR: 14
Flow cover: 26
Inf proof: 16
Explored 3312 nodes (35926 simplex iterations) in 4.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.869695
Optimal solution found (tolerance 1.00e-02)
Best objective 8.696950296031e-01, best bound 8.708202480174e-01, gap 0.1294%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplojfcuq0.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp64q34pnw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878925
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.276507e+00, 578 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27651 0 56 0.87893 1.27651 45.2% - 0s
0 0 1.18673 0 54 0.87893 1.18673 35.0% - 0s
0 0 1.18672 0 54 0.87893 1.18672 35.0% - 0s
0 0 1.17420 0 58 0.87893 1.17420 33.6% - 0s
0 0 1.17420 0 55 0.87893 1.17420 33.6% - 0s
0 0 1.17148 0 63 0.87893 1.17148 33.3% - 0s
0 0 1.17143 0 65 0.87893 1.17143 33.3% - 0s
0 0 1.17125 0 61 0.87893 1.17125 33.3% - 0s
0 0 1.17125 0 53 0.87893 1.17125 33.3% - 0s
0 2 1.17125 0 53 0.87893 1.17125 33.3% - 0s
3498 709 0.93032 36 67 0.87893 0.95604 8.77% 16.5 5s
* 5238 868 83 0.8818958 0.93267 5.76% 15.6 7s
* 6248 819 79 0.8842010 0.92262 4.34% 15.0 8s
H 6628 634 0.8882757 0.91646 3.17% 14.9 8s
* 7210 389 81 0.8892451 0.90639 1.93% 14.7 9s
Cutting planes:
Gomory: 58
Cover: 9
Implied bound: 14
Projected implied bound: 14
Clique: 2
MIR: 17
Flow cover: 42
Inf proof: 51
Explored 7562 nodes (110854 simplex iterations) in 9.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.889245 0.888276 0.884201 ... 0.878925
Optimal solution found (tolerance 1.00e-02)
Best objective 8.892451411832e-01, best bound 8.955719270072e-01, gap 0.7115%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgh7nsa9w.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpit5zzbh1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.891186
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.269288e+00, 554 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26929 0 60 0.89119 1.26929 42.4% - 0s
0 0 1.18028 0 61 0.89119 1.18028 32.4% - 0s
0 0 1.18027 0 63 0.89119 1.18027 32.4% - 0s
0 0 1.17670 0 68 0.89119 1.17670 32.0% - 0s
0 0 1.17664 0 65 0.89119 1.17664 32.0% - 0s
0 0 1.16860 0 66 0.89119 1.16860 31.1% - 0s
0 0 1.16833 0 69 0.89119 1.16833 31.1% - 0s
0 0 1.16762 0 75 0.89119 1.16762 31.0% - 0s
0 0 1.16759 0 72 0.89119 1.16759 31.0% - 0s
0 0 1.16755 0 73 0.89119 1.16755 31.0% - 0s
0 0 1.16755 0 60 0.89119 1.16755 31.0% - 0s
0 2 1.16755 0 60 0.89119 1.16755 31.0% - 0s
3435 681 0.91353 29 59 0.89119 0.95060 6.67% 14.2 5s
Cutting planes:
Gomory: 73
Cover: 4
Implied bound: 10
Projected implied bound: 17
MIR: 9
Flow cover: 31
Inf proof: 48
Explored 6192 nodes (96345 simplex iterations) in 8.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.891186
Optimal solution found (tolerance 1.00e-02)
Best objective 8.911858811697e-01, best bound 8.991256372321e-01, gap 0.8909%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpygdgtmbv.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpadln85y_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.866243
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.275006e+00, 597 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27501 0 63 0.86624 1.27501 47.2% - 0s
0 0 1.18743 0 67 0.86624 1.18743 37.1% - 0s
0 0 1.18738 0 67 0.86624 1.18738 37.1% - 0s
0 0 1.18004 0 69 0.86624 1.18004 36.2% - 0s
0 0 1.17987 0 66 0.86624 1.17987 36.2% - 0s
0 0 1.17414 0 73 0.86624 1.17414 35.5% - 0s
0 0 1.17396 0 73 0.86624 1.17396 35.5% - 0s
0 0 1.17396 0 79 0.86624 1.17396 35.5% - 0s
0 0 1.17396 0 65 0.86624 1.17396 35.5% - 0s
0 2 1.17396 0 65 0.86624 1.17396 35.5% - 0s
H 2762 574 0.8675611 0.94381 8.79% 13.8 4s
3745 859 infeasible 38 0.86756 0.92878 7.06% 13.2 5s
* 9537 1150 85 0.8683027 0.89426 2.99% 12.5 9s
9660 1094 cutoff 59 0.86830 0.89219 2.75% 12.6 10s
H 9710 972 0.8730601 0.89218 2.19% 12.6 10s
H 9829 885 0.8759964 0.89211 1.84% 12.6 10s
*10137 679 91 0.8775113 0.88958 1.37% 12.6 10s
*10139 609 89 0.8788362 0.88958 1.22% 12.6 10s
Cutting planes:
Gomory: 65
Cover: 1
Implied bound: 15
Projected implied bound: 18
Clique: 2
MIR: 11
Flow cover: 37
Inf proof: 78
Explored 10453 nodes (132613 simplex iterations) in 11.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.878836 0.877511 0.875996 ... 0.866243
Optimal solution found (tolerance 1.00e-02)
Best objective 8.788362494922e-01, best bound 8.874112769859e-01, gap 0.9757%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpelyete0t.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_aieon9y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.855877
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.239856e+00, 619 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23986 0 65 0.85588 1.23986 44.9% - 0s
0 0 1.13649 0 63 0.85588 1.13649 32.8% - 0s
0 0 1.13648 0 64 0.85588 1.13648 32.8% - 0s
0 0 1.12633 0 75 0.85588 1.12633 31.6% - 0s
0 0 1.12413 0 77 0.85588 1.12413 31.3% - 0s
0 0 1.12291 0 83 0.85588 1.12291 31.2% - 0s
0 0 1.12280 0 84 0.85588 1.12280 31.2% - 0s
0 0 1.12265 0 83 0.85588 1.12265 31.2% - 0s
0 0 1.12265 0 81 0.85588 1.12265 31.2% - 0s
0 2 1.12265 0 81 0.85588 1.12265 31.2% - 0s
3251 657 0.88559 43 59 0.85588 0.92520 8.10% 16.5 5s
7851 320 cutoff 65 0.85588 0.87074 1.74% 15.3 10s
Cutting planes:
Gomory: 53
Cover: 6
Implied bound: 8
Projected implied bound: 13
MIR: 8
Flow cover: 40
Inf proof: 67
Explored 8650 nodes (127231 simplex iterations) in 10.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.855877
Optimal solution found (tolerance 1.00e-02)
Best objective 8.558768182058e-01, best bound 8.621960882712e-01, gap 0.7383%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb8ua7zum.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpte7r20by.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829915
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.194721e+00, 640 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19472 0 66 0.82992 1.19472 44.0% - 0s
0 0 1.12101 0 67 0.82992 1.12101 35.1% - 0s
0 0 1.12101 0 71 0.82992 1.12101 35.1% - 0s
0 0 1.09301 0 85 0.82992 1.09301 31.7% - 0s
0 0 1.09232 0 85 0.82992 1.09232 31.6% - 0s
0 0 1.09074 0 85 0.82992 1.09074 31.4% - 0s
0 0 1.09061 0 90 0.82992 1.09061 31.4% - 0s
0 0 1.09035 0 92 0.82992 1.09035 31.4% - 0s
0 0 1.09035 0 84 0.82992 1.09035 31.4% - 0s
0 2 1.09035 0 84 0.82992 1.09035 31.4% - 0s
2348 473 0.90929 28 68 0.82992 0.95458 15.0% 20.0 5s
H 3267 481 0.8299151 0.91637 10.4% 21.1 6s
6064 586 cutoff 55 0.82992 0.85992 3.62% 18.8 10s
Cutting planes:
Gomory: 65
Cover: 4
Implied bound: 13
Projected implied bound: 13
MIR: 17
Flow cover: 52
Inf proof: 69
Explored 7818 nodes (134598 simplex iterations) in 12.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.829915 0.829915
Optimal solution found (tolerance 1.00e-02)
Best objective 8.299151436837e-01, best bound 8.358785122932e-01, gap 0.7186%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu556zbww.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3zfl2e9l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.816677
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.185511e+00, 703 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18551 0 70 0.81668 1.18551 45.2% - 0s
0 0 1.14282 0 86 0.81668 1.14282 39.9% - 0s
0 0 1.14280 0 86 0.81668 1.14280 39.9% - 0s
0 0 1.13113 0 85 0.81668 1.13113 38.5% - 0s
0 0 1.12465 0 89 0.81668 1.12465 37.7% - 0s
0 0 1.11197 0 85 0.81668 1.11197 36.2% - 0s
0 0 1.11196 0 85 0.81668 1.11196 36.2% - 0s
0 0 1.11163 0 87 0.81668 1.11163 36.1% - 0s
0 0 1.11161 0 87 0.81668 1.11161 36.1% - 0s
0 0 1.11149 0 85 0.81668 1.11149 36.1% - 0s
0 0 1.11149 0 85 0.81668 1.11149 36.1% - 0s
0 0 1.11103 0 87 0.81668 1.11103 36.0% - 0s
0 0 1.11103 0 87 0.81668 1.11103 36.0% - 0s
0 0 1.11103 0 89 0.81668 1.11103 36.0% - 0s
0 0 1.11103 0 87 0.81668 1.11103 36.0% - 0s
0 0 1.11103 0 76 0.81668 1.11103 36.0% - 0s
0 2 1.11103 0 76 0.81668 1.11103 36.0% - 0s
2303 316 0.82258 58 62 0.81668 0.89834 10.0% 17.5 5s
7407 1547 cutoff 52 0.81668 0.85774 5.03% 12.3 10s
* 8768 1628 95 0.8190355 0.85280 4.12% 12.2 11s
* 9366 1560 96 0.8203851 0.85054 3.68% 12.3 12s
11594 1436 infeasible 59 0.82039 0.84072 2.48% 12.1 15s
*11955 1314 87 0.8219006 0.83937 2.13% 12.1 15s
*12521 1338 100 0.8224832 0.83849 1.95% 12.0 15s
*12560 989 96 0.8264751 0.83849 1.45% 12.0 15s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 9
Projected implied bound: 16
Clique: 2
MIR: 16
Flow cover: 43
Inf proof: 66
Explored 13234 nodes (159709 simplex iterations) in 16.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.826475 0.822483 0.821901 ... 0.816677
Optimal solution found (tolerance 1.00e-02)
Best objective 8.264751454524e-01, best bound 8.346926523954e-01, gap 0.9943%
Run 9
Seed for training 657
Seed for simulation 218
direc: array([[4.07069631e-02, 2.86994811e-04, 2.70954862e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.35119292e+00, 1.01754788e+02, 1.01754255e+02]])
fopt: 0.7270497890515717
fun: -0.7268917550316858
message: 'Optimization terminated successfully.'
nfev: 426
nit: 6
status: 0
success: True
x: array([ 81.99999945, 141. , 139.40063318])
xopt: array([ 81., 141., 140.])
zopt: array([ 81., 222., 362.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4_67xyg0.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0doznabz.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.72705
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.104342e+00, 698 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10434 0 68 0.72705 1.10434 51.9% - 0s
0 0 1.05507 0 79 0.72705 1.05507 45.1% - 0s
0 0 1.05428 0 79 0.72705 1.05428 45.0% - 0s
0 0 1.04816 0 81 0.72705 1.04816 44.2% - 0s
0 0 1.04807 0 81 0.72705 1.04807 44.2% - 0s
0 0 1.04777 0 79 0.72705 1.04777 44.1% - 0s
0 0 1.04770 0 81 0.72705 1.04770 44.1% - 0s
0 0 1.04745 0 82 0.72705 1.04745 44.1% - 0s
0 0 1.04745 0 82 0.72705 1.04745 44.1% - 0s
0 0 1.04744 0 82 0.72705 1.04744 44.1% - 0s
0 0 1.04740 0 79 0.72705 1.04740 44.1% - 0s
0 0 1.04740 0 78 0.72705 1.04740 44.1% - 0s
0 2 1.04740 0 78 0.72705 1.04740 44.1% - 0s
2398 628 0.74563 36 64 0.72705 0.90481 24.5% 19.5 5s
H 4299 908 0.7374002 0.87700 18.9% 21.4 7s
5078 1159 infeasible 36 0.73740 0.86549 17.4% 21.5 10s
H 5136 1005 0.7556983 0.86549 14.5% 21.4 10s
H 6757 967 0.7730666 0.85076 10.1% 22.3 13s
7136 904 0.81292 33 75 0.77307 0.84415 9.19% 22.8 15s
*11055 441 100 0.8020319 0.81838 2.04% 20.9 19s
11783 439 cutoff 63 0.80203 0.81154 1.19% 20.4 20s
*11894 412 94 0.8025432 0.81149 1.11% 20.3 20s
Cutting planes:
Learned: 1
Gomory: 73
Cover: 3
Implied bound: 25
Projected implied bound: 35
Clique: 2
MIR: 16
Flow cover: 58
Inf proof: 91
Explored 12580 nodes (249637 simplex iterations) in 20.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.802543 0.802032 0.773067 ... 0.72705
Optimal solution found (tolerance 0.00e+00)
Best objective 8.025431792019e-01, best bound 8.025431792019e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpogqobrga.pyomo.lp
Reading time = 0.00 seconds
x547: 631 rows, 541 columns, 1963 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0xfjinpb.gurobi.mst
Optimize a model with 631 rows, 541 columns and 1963 nonzeros
Coefficient statistics:
Matrix range [1e-02, 2e+00]
Objective range [3e-02, 3e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 466 rows and 333 columns
Presolve time: 0.00s
Presolved: 165 rows, 208 columns, 825 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.5827406e+01 4.075000e+02 0.000000e+00 0s
90 1.8092406e+01 0.000000e+00 0.000000e+00 0s
Solved in 90 iterations and 0.00 seconds
Optimal objective 1.809240557e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00268729, -0.01412805, -0.01412805]])
fopt: 3.038167854809307
fun: -3.049322582752605
message: 'Optimization terminated successfully.'
nfev: 132
nit: 2
status: 0
success: True
x: array([ 18.11883173, -87.99999921, -87.99999921])
xopt: array([18., 0., 0.])
zopt: array([18., 18., 18.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 5.37679829e-02, -2.73748660e-03, -1.23167463e-01],
[-8.79743599e-06, -4.73190579e-03, 8.47119745e-03]])
fopt: 2.685444535124719
fun: -2.704639008679564
message: 'Optimization terminated successfully.'
nfev: 246
nit: 4
status: 0
success: True
x: array([ 40.329969 , -0.5860391 , -81.95025402])
xopt: array([40., 0., 0.])
zopt: array([40., 40., 40.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06525083, 0.00205649, 0. ]])
fopt: 1.9168721791271663
fun: -1.9295905063851588
message: 'Optimization terminated successfully.'
nfev: 549
nit: 5
status: 0
success: True
x: array([67.00250735, -0.1090878 , 1. ])
xopt: array([67., 0., 1.])
zopt: array([67., 67., 68.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.20741548, 0.00475676, 0.21402031]])
fopt: 1.8448412339967677
fun: -1.8506723614119158
message: 'Optimization terminated successfully.'
nfev: 221
nit: 3
status: 0
success: True
x: array([ 87.99066041, -0.99978381, -86.99365878])
xopt: array([88., 0., 0.])
zopt: array([88., 88., 88.])
*******************************************
Period: 5
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.17686621, 0.00403142, 0.18256567]])
fopt: 1.4700029740481646
fun: -1.4736763316459003
message: 'Optimization terminated successfully.'
nfev: 170
nit: 2
status: 0
success: True
x: array([ 87.99969488, -0.9833418 , -87.82313531])
xopt: array([88., 0., 0.])
zopt: array([88., 88., 88.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1529
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.91685195e-01, -3.36664751e-04, -0.00000000e+00]])
fopt: 1.17435233126696
fun: -1.179659549543598
message: 'Optimization terminated successfully.'
nfev: 341
nit: 3
status: 0
success: True
x: array([142.99192589, 1.12203516, 1. ])
xopt: array([142., 2., 1.])
zopt: array([142., 144., 145.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1554
nit: 3
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.57857306e-01, -9.14349063e-09, 0.00000000e+00]])
fopt: 1.0520583706772864
fun: -1.0528060467297904
message: 'Optimization terminated successfully.'
nfev: 361
nit: 3
status: 0
success: True
x: array([179.98325177, 1.00000052, 1. ])
xopt: array([179., 2., 1.])
zopt: array([179., 181., 182.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0003709291200238
fun: -1.0017660044150503
message: 'Optimization terminated successfully.'
nfev: 166
nit: 2
status: 0
success: True
x: array([200.90876834, 1.00166328, -0.65062137])
xopt: array([200., 2., 0.])
zopt: array([200., 202., 202.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8976886194905034
fun: -0.8940760923246899
message: 'Optimization terminated successfully.'
nfev: 234
nit: 3
status: 0
success: True
x: array([220.99844842, 2.14589803, 3.00910558])
xopt: array([220., 2., 4.])
zopt: array([220., 222., 226.])
*******************************************
Period: 12
direc: array([[ 3.35569861e-07, 8.90110871e-01, -4.95683034e-07],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-6.01748090e-05, -1.01044153e-01, 8.88865010e-05]])
fopt: 1.0375394278415584
fun: -1.038140618308644
message: 'Optimization terminated successfully.'
nfev: 455
nit: 6
status: 0
success: True
x: array([180.99212769, 25.01167046, 43.17720696])
xopt: array([180., 26., 43.])
zopt: array([180., 206., 249.])
*******************************************
Period: 13
direc: array([[ 7.24123169e-02, -4.78576108e-02, -8.70041208e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.77085495e+00, 9.05575955e+00, 5.92821057e-03]])
fopt: 1.0274817172153703
fun: -1.0316451696693048
message: 'Optimization terminated successfully.'
nfev: 833
nit: 12
status: 0
success: True
x: array([161.08525065, 49.01454542, 56.0574047 ])
xopt: array([161., 49., 56.])
zopt: array([161., 210., 266.])
*******************************************
Period: 14
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.03023852e+02, 8.88578691e+01, 6.97536245e+01],
[ 5.79072840e-02, 2.02211601e+00, 0.00000000e+00]])
fopt: 1.1595856834940015
fun: -1.1582296484759829
message: 'Optimization terminated successfully.'
nfev: 542
nit: 8
status: 0
success: True
x: array([ 88.41121785, 120.0453222 , 90.83216741])
xopt: array([ 88., 120., 90.])
zopt: array([ 88., 208., 298.])
*******************************************
Period: 15
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.90651715e+01, 3.70030605e+01, 6.90205612e+01],
[ 2.76546701e-05, 9.99998037e-01, -3.66060681e-06]])
fopt: 0.9469791393052984
fun: -0.9507611659011894
message: 'Optimization terminated successfully.'
nfev: 578
nit: 7
status: 0
success: True
x: array([162.99097723, 45.01144199, 74.04990635])
xopt: array([162., 46., 74.])
zopt: array([162., 208., 282.])
*******************************************
Period: 16
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-9.14956466e-03, 1.51302902e-02, 1.37973678e+00],
[ 7.67483742e-05, 2.00000000e+00, 0.00000000e+00]])
fopt: 0.8504760319550433
fun: -0.8503597127291592
message: 'Optimization terminated successfully.'
nfev: 776
nit: 8
status: 0
success: True
x: array([199.79944577, 10.03552816, 97.58208192])
xopt: array([199., 11., 97.])
zopt: array([199., 210., 307.])
*******************************************
Period: 17
direc: array([[-3.31902178e+00, 2.00000003e+00, 4.12282827e+00],
[-5.21971376e+01, 4.32013091e+01, -2.65047815e-09],
[ 3.53906104e-02, 9.06425994e+00, -4.20321743e-02]])
fopt: 1.004680723424859
fun: -1.001925206989587
message: 'Optimization terminated successfully.'
nfev: 756
nit: 10
status: 0
success: True
x: array([ 87.83154456, 119. , 111.48306165])
xopt: array([ 88., 120., 111.])
zopt: array([ 88., 208., 319.])
*******************************************
Period: 18
direc: array([[-43.19491915, 62.14663969, 115.26053117],
[ -4.04754367, 3. , 0. ],
[-23.34676171, 20.18845813, 0. ]])
fopt: 0.972955308422953
fun: -0.966268605618016
message: 'Optimization terminated successfully.'
nfev: 931
nit: 11
status: 0
success: True
x: array([ 89.61827109, 108. , 134.75041476])
xopt: array([ 90., 109., 134.])
zopt: array([ 90., 199., 333.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 1. ],
[ -4.04754367, 3. , 0. ],
[-92.62475737, 80.09466406, 0. ]])
fopt: 0.8908771323046795
fun: -0.887672108915342
message: 'Optimization terminated successfully.'
nfev: 1104
nit: 13
status: 0
success: True
x: array([ 87.9841164 , 100.00000001, 149. ])
xopt: array([ 88., 101., 149.])
zopt: array([ 88., 189., 338.])
*******************************************
Period: 20
direc: array([[-15.14894372, 10.13323177, 0. ],
[ 0.13961447, -0.04911754, -0.08219367],
[ 0.24480979, 7.01385148, -0.04583435]])
fopt: 0.943015319572496
fun: -0.9407198195437148
message: 'Optimization terminated successfully.'
nfev: 961
nit: 13
status: 0
success: True
x: array([ 91.26642477, 118. , 170.46440699])
xopt: array([ 91., 119., 170.])
zopt: array([ 91., 210., 380.])
*******************************************
Period: 21
direc: array([[-25.1018759 , 68.30742143, 137.43695685],
[ -4.04754367, 3. , 0. ],
[ 0. , 1. , 0. ]])
fopt: 0.9139054580156519
fun: -0.9128764709001658
message: 'Optimization terminated successfully.'
nfev: 1432
nit: 16
status: 0
success: True
x: array([ 87.77357092, 119. , 187.0686081 ])
xopt: array([ 88., 120., 187.])
zopt: array([ 88., 208., 395.])
*******************************************
Period: 22
direc: array([[167.27145491, -7.74688848, 8.02433302],
[ 0. , 1. , 0. ],
[-77.32375015, 114.87734654, 69.69753829]])
fopt: 0.7983117451221681
fun: -0.7962274893820865
message: 'Optimization terminated successfully.'
nfev: 630
nit: 7
status: 0
success: True
x: array([ 88.06580446, 177.17634153, 123.77708367])
xopt: array([ 88., 177., 124.])
zopt: array([ 88., 265., 389.])
*******************************************
Period: 23
direc: array([[ 1.69420914e+02, -7.25593044e+00, 8.58174199e+00],
[ 0.00000000e+00, 1.00000000e+00, 1.07922468e+00],
[ 0.00000000e+00, 5.80944666e-02, 0.00000000e+00]])
fopt: 0.5186883414710524
fun: -0.5189730347896364
message: 'Optimization terminated successfully.'
nfev: 815
nit: 9
status: 0
success: True
x: array([ 2.06100163e+02, -1.35084026e-01, 2.10182081e+01])
xopt: array([206., 0., 22.])
zopt: array([206., 206., 228.])
*******************************************
Period: 24
direc: array([[ 1.03834851e+02, 9.74132099e-06, 1.01000000e+00],
[ 7.44673464e-13, -2.87800751e-10, -7.93068194e-13],
[-1.69828943e-01, -9.46263862e-03, -7.75044396e-03]])
fopt: 0.8043892699980724
fun: -0.8024827188811435
message: 'Optimization terminated successfully.'
nfev: 828
nit: 11
status: 0
success: True
x: array([ 88. , 152.00013825, 98.1046876 ])
xopt: array([ 88., 153., 99.])
zopt: array([ 88., 241., 340.])
*******************************************
Period: 25
direc: array([[ 1.18861525e+02, -2.72749716e+00, 2.73423934e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.99042257e-07, -1.16050030e-04, -7.29988470e-03]])
fopt: 0.5066820932665967
fun: -0.5064389720684801
message: 'Optimization terminated successfully.'
nfev: 646
nit: 7
status: 0
success: True
x: array([ 2.03308437e+02, -2.51678391e-03, 1.20058750e+01])
xopt: array([203., 0., 13.])
zopt: array([203., 203., 216.])
*******************************************
Period: 26
direc: array([[108.68053682, 0. , 1.1964823 ],
[ 0. , 1. , 0. ],
[-65.59050932, 107.98319631, 70.6827553 ]])
fopt: 0.8082047256081218
fun: -0.8076694387008704
message: 'Optimization terminated successfully.'
nfev: 825
nit: 9
status: 0
success: True
x: array([ 87.97118434, 178.00000069, 120.05896298])
xopt: array([ 88., 178., 121.])
zopt: array([ 88., 266., 387.])
*******************************************
Period: 27
direc: array([[ 7.69132291e-01, 3.84413691e-03, 8.24403752e-03],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 2.76057181e-17, -9.45305764e-10, 2.95895254e-19]])
fopt: 0.5467779080946256
fun: -0.5459251895024857
message: 'Optimization terminated successfully.'
nfev: 680
nit: 7
status: 0
success: True
x: array([201.84845017, 18.00384413, 4.15281841])
xopt: array([201., 19., 5.])
zopt: array([201., 220., 225.])
*******************************************
Period: 28
direc: array([[3.23709344e-08, 1.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.56753661e-06, 4.70574967e+01, 2.34116513e+01]])
fopt: 0.5758933993692753
fun: -0.5783805504627237
message: 'Optimization terminated successfully.'
nfev: 546
nit: 6
status: 0
success: True
x: array([201.07932187, 52.00045466, 29.00344998])
xopt: array([201., 52., 29.])
zopt: array([201., 253., 282.])
*******************************************
Period: 29
direc: array([[1.16927358e-05, 5.78142742e-08, 1.33720562e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.71175057e-04, 4.02963936e+01, 2.68642663e+01]])
fopt: 0.5883516571592885
fun: -0.5898291952247583
message: 'Optimization terminated successfully.'
nfev: 487
nit: 6
status: 0
success: True
x: array([203.2436824 , 46.02963302, 33.17716172])
xopt: array([203., 46., 33.])
zopt: array([203., 249., 282.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfkdyd39s.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt28bn0bd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57816
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.03817 1.57816
Optimal solution found (tolerance 1.00e-02)
Best objective 3.038167854809e+00, best bound 3.038167854809e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_xur8jir.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqezgkvyy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10129
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.685445e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.6854445 2.68544 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.68544 1.10129
Optimal solution found (tolerance 1.00e-02)
Best objective 2.685444535125e+00, best bound 2.685444535125e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8g3ee04l.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2kevqq4e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.68113
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 1.918279e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.9182787 1.91828 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.91828 1.68113
Optimal solution found (tolerance 1.00e-02)
Best objective 1.918278738319e+00, best bound 1.918278738319e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfl5p27gz.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaakb1i_i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13756
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.331616e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.33162 0 3 1.13756 2.33162 105% - 0s
H 0 0 1.8448412 2.33162 26.4% - 0s
0 0 2.02477 0 1 1.84484 2.02477 9.75% - 0s
0 0 cutoff 0 1.84484 1.84484 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (63 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.84484 1.13756
Optimal solution found (tolerance 1.00e-02)
Best objective 1.844841233997e+00, best bound 1.844841233997e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdqdgod29.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqk764cup.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.47
Presolve removed 171 rows and 121 columns
Presolve time: 0.01s
Presolved: 66 rows, 54 columns, 227 nonzeros
Variable types: 29 continuous, 25 integer (22 binary)
Root relaxation: objective 1.619309e+00, 36 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61931 0 6 1.47000 1.61931 10.2% - 0s
0 0 cutoff 0 1.47000 1.47000 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 4
Flow cover: 1
Explored 1 nodes (46 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.47
Optimal solution found (tolerance 1.00e-02)
Best objective 1.470002974048e+00, best bound 1.470002974048e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0bvis7qx.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqr_3415v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21518
Presolve removed 150 rows and 102 columns
Presolve time: 0.00s
Presolved: 133 rows, 106 columns, 454 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 1.698619e+00, 81 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69862 0 9 1.21518 1.69862 39.8% - 0s
H 0 0 1.3395058 1.69862 26.8% - 0s
0 0 1.47418 0 3 1.33951 1.47418 10.1% - 0s
0 0 1.47330 0 2 1.33951 1.47330 10.0% - 0s
0 0 1.41896 0 2 1.33951 1.41896 5.93% - 0s
0 0 1.41268 0 2 1.33951 1.41268 5.46% - 0s
0 0 1.35394 0 1 1.33951 1.35394 1.08% - 0s
0 0 1.35394 0 1 1.33951 1.35394 1.08% - 0s
0 0 cutoff 0 1.33951 1.33951 0.00% - 0s
Explored 1 nodes (122 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33951 1.21518
Optimal solution found (tolerance 1.00e-02)
Best objective 1.339505774507e+00, best bound 1.339505774507e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptd5qmg_j.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbxb7lg8g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.984297
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.821780e+00, 111 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82178 0 12 0.98430 1.82178 85.1% - 0s
H 0 0 1.0204449 1.82178 78.5% - 0s
0 0 1.63421 0 11 1.02044 1.63421 60.1% - 0s
0 0 1.62892 0 4 1.02044 1.62892 59.6% - 0s
H 0 0 1.3755181 1.62892 18.4% - 0s
0 0 1.62888 0 4 1.37552 1.62888 18.4% - 0s
0 0 1.62888 0 4 1.37552 1.62888 18.4% - 0s
0 0 1.62845 0 2 1.37552 1.62845 18.4% - 0s
0 0 1.52363 0 1 1.37552 1.52363 10.8% - 0s
0 0 1.49259 0 2 1.37552 1.49259 8.51% - 0s
0 0 1.49259 0 2 1.37552 1.49259 8.51% - 0s
0 0 1.49259 0 2 1.37552 1.49259 8.51% - 0s
0 0 1.47615 0 1 1.37552 1.47615 7.32% - 0s
0 0 1.47615 0 1 1.37552 1.47615 7.32% - 0s
0 2 1.47615 0 1 1.37552 1.47615 7.32% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Explored 3 nodes (248 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.37552 1.02044 0.984297
Optimal solution found (tolerance 1.00e-02)
Best objective 1.375518106008e+00, best bound 1.375518106008e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvempn7r1.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn0846wwf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12794
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.747254e+00, 133 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74725 0 15 1.12794 1.74725 54.9% - 0s
H 0 0 1.1980757 1.74725 45.8% - 0s
0 0 1.57847 0 6 1.19808 1.57847 31.8% - 0s
H 0 0 1.2903611 1.57847 22.3% - 0s
0 0 1.57374 0 4 1.29036 1.57374 22.0% - 0s
0 0 1.57367 0 2 1.29036 1.57367 22.0% - 0s
0 0 1.57366 0 4 1.29036 1.57366 22.0% - 0s
0 0 1.57366 0 4 1.29036 1.57366 22.0% - 0s
0 0 1.57366 0 8 1.29036 1.57366 22.0% - 0s
0 0 1.53657 0 8 1.29036 1.53657 19.1% - 0s
0 0 1.48141 0 2 1.29036 1.48141 14.8% - 0s
0 0 1.45433 0 2 1.29036 1.45433 12.7% - 0s
0 0 1.44913 0 7 1.29036 1.44913 12.3% - 0s
0 0 1.44886 0 2 1.29036 1.44886 12.3% - 0s
0 0 1.44744 0 5 1.29036 1.44744 12.2% - 0s
0 0 1.44457 0 2 1.29036 1.44457 12.0% - 0s
0 0 1.44449 0 5 1.29036 1.44449 11.9% - 0s
0 0 1.44449 0 2 1.29036 1.44449 11.9% - 0s
0 0 1.44179 0 2 1.29036 1.44179 11.7% - 0s
0 0 1.44028 0 2 1.29036 1.44028 11.6% - 0s
0 0 1.42586 0 2 1.29036 1.42586 10.5% - 0s
0 0 1.42510 0 2 1.29036 1.42510 10.4% - 0s
0 0 1.42212 0 2 1.29036 1.42212 10.2% - 0s
0 0 1.42212 0 2 1.29036 1.42212 10.2% - 0s
0 0 1.41635 0 1 1.29036 1.41635 9.76% - 0s
0 0 1.41635 0 1 1.29036 1.41635 9.76% - 0s
0 0 1.41635 0 2 1.29036 1.41635 9.76% - 0s
0 0 1.41635 0 1 1.29036 1.41635 9.76% - 0s
0 0 1.41635 0 2 1.29036 1.41635 9.76% - 0s
0 0 1.41635 0 2 1.29036 1.41635 9.76% - 0s
0 0 1.40779 0 2 1.29036 1.40779 9.10% - 0s
0 0 1.40749 0 2 1.29036 1.40749 9.08% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
MIR: 1
Flow cover: 1
Explored 1 nodes (397 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.29036 1.19808 1.12794
Optimal solution found (tolerance 1.00e-02)
Best objective 1.290361109549e+00, best bound 1.290361109549e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3m0ce5x5.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_3x8gsv1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07257
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.796937e+00, 151 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79694 0 18 1.07257 1.79694 67.5% - 0s
H 0 0 1.2131232 1.79694 48.1% - 0s
0 0 1.64566 0 13 1.21312 1.64566 35.7% - 0s
H 0 0 1.3201565 1.64566 24.7% - 0s
0 0 1.63165 0 11 1.32016 1.63165 23.6% - 0s
0 0 1.63148 0 11 1.32016 1.63148 23.6% - 0s
0 0 1.63148 0 11 1.32016 1.63148 23.6% - 0s
H 0 0 1.3227386 1.63148 23.3% - 0s
0 2 1.63148 0 11 1.32274 1.63148 23.3% - 0s
Cutting planes:
Gomory: 6
Cover: 2
Implied bound: 6
Flow cover: 13
Inf proof: 2
Explored 86 nodes (755 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.32274 1.32016 1.21312 1.07257
Optimal solution found (tolerance 1.00e-02)
Best objective 1.322738592747e+00, best bound 1.322738592747e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprqzxp093.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplprzezeu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10942
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.823353e+00, 186 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82335 0 21 1.10942 1.82335 64.4% - 0s
H 0 0 1.3302173 1.82335 37.1% - 0s
0 0 1.67234 0 18 1.33022 1.67234 25.7% - 0s
0 0 1.66893 0 18 1.33022 1.66893 25.5% - 0s
0 0 1.66834 0 18 1.33022 1.66834 25.4% - 0s
0 0 1.66811 0 18 1.33022 1.66811 25.4% - 0s
0 0 1.66811 0 18 1.33022 1.66811 25.4% - 0s
0 2 1.66811 0 18 1.33022 1.66811 25.4% - 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 3
MIR: 1
Flow cover: 13
Inf proof: 1
Explored 144 nodes (1021 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.33022 1.10942
Optimal solution found (tolerance 1.00e-02)
Best objective 1.330217313655e+00, best bound 1.330217313655e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe6qgnrtk.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfbeidmxp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16109
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.808805e+00, 208 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80881 0 23 1.16109 1.80881 55.8% - 0s
0 0 1.65530 0 22 1.16109 1.65530 42.6% - 0s
0 0 1.65376 0 22 1.16109 1.65376 42.4% - 0s
0 0 1.65237 0 22 1.16109 1.65237 42.3% - 0s
0 0 1.65159 0 26 1.16109 1.65159 42.2% - 0s
0 0 1.65157 0 26 1.16109 1.65157 42.2% - 0s
0 0 1.65048 0 26 1.16109 1.65048 42.1% - 0s
0 0 1.65041 0 26 1.16109 1.65041 42.1% - 0s
0 0 1.65041 0 24 1.16109 1.65041 42.1% - 0s
H 0 0 1.2605684 1.65041 30.9% - 0s
0 2 1.65041 0 24 1.26057 1.65041 30.9% - 0s
H 31 18 1.2761287 1.64588 29.0% 6.1 0s
H 32 19 1.2761287 1.64588 29.0% 6.1 0s
* 42 18 16 1.3096072 1.59000 21.4% 5.4 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 3
MIR: 5
Flow cover: 12
Explored 123 nodes (1104 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.30961 1.27613 1.27613 ... 1.16109
Optimal solution found (tolerance 1.00e-02)
Best objective 1.309607181666e+00, best bound 1.309607181666e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1uf5lk79.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpib8wdpnj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14964
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.789182e+00, 224 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78918 0 25 1.14964 1.78918 55.6% - 0s
0 0 1.62633 0 25 1.14964 1.62633 41.5% - 0s
0 0 1.62631 0 25 1.14964 1.62631 41.5% - 0s
0 0 1.62551 0 25 1.14964 1.62551 41.4% - 0s
0 0 1.62547 0 25 1.14964 1.62547 41.4% - 0s
0 0 1.61325 0 26 1.14964 1.61325 40.3% - 0s
H 0 0 1.2789924 1.61325 26.1% - 0s
0 0 1.61321 0 26 1.27899 1.61321 26.1% - 0s
0 0 1.61278 0 26 1.27899 1.61278 26.1% - 0s
0 0 1.61278 0 24 1.27899 1.61278 26.1% - 0s
0 2 1.61278 0 24 1.27899 1.61278 26.1% - 0s
Cutting planes:
Gomory: 5
Implied bound: 3
Flow cover: 15
Inf proof: 1
Explored 142 nodes (1015 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.27899 1.14964
Optimal solution found (tolerance 1.00e-02)
Best objective 1.278992372602e+00, best bound 1.286038535467e+00, gap 0.5509%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw8b4dpx4.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp668n34b2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14312
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.714284e+00, 251 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71428 0 26 1.14312 1.71428 50.0% - 0s
0 0 1.53950 0 26 1.14312 1.53950 34.7% - 0s
0 0 1.52637 0 28 1.14312 1.52637 33.5% - 0s
0 0 1.52568 0 28 1.14312 1.52568 33.5% - 0s
0 0 1.52501 0 30 1.14312 1.52501 33.4% - 0s
0 0 1.52501 0 30 1.14312 1.52501 33.4% - 0s
0 2 1.52501 0 30 1.14312 1.52501 33.4% - 0s
* 178 65 26 1.1867352 1.39284 17.4% 5.7 0s
* 179 65 26 1.1917922 1.39284 16.9% 5.7 0s
* 266 2 20 1.2073984 1.32573 9.80% 6.4 0s
* 296 0 22 1.2117488 1.21531 0.29% 6.4 0s
Cutting planes:
Gomory: 11
Implied bound: 5
MIR: 3
Flow cover: 13
Inf proof: 4
Explored 300 nodes (2306 simplex iterations) in 0.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.21175 1.2074 1.19179 ... 1.14312
Optimal solution found (tolerance 1.00e-02)
Best objective 1.211748806941e+00, best bound 1.211748806941e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn446q0s5.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx82c7nnp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08667
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.689801e+00, 260 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68980 0 29 1.08667 1.68980 55.5% - 0s
0 0 1.51880 0 27 1.08667 1.51880 39.8% - 0s
0 0 1.50792 0 30 1.08667 1.50792 38.8% - 0s
0 0 1.50783 0 28 1.08667 1.50783 38.8% - 0s
0 0 1.50775 0 31 1.08667 1.50775 38.7% - 0s
0 0 1.50775 0 31 1.08667 1.50775 38.7% - 0s
0 0 1.50775 0 31 1.08667 1.50775 38.7% - 0s
0 0 1.50775 0 31 1.08667 1.50775 38.7% - 0s
0 2 1.50775 0 31 1.08667 1.50775 38.7% - 0s
* 79 39 29 1.1915026 1.34405 12.8% 6.9 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 8
Flow cover: 22
Explored 235 nodes (1998 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.1915 1.08667
Optimal solution found (tolerance 1.00e-02)
Best objective 1.191502568834e+00, best bound 1.191502568834e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphbq2rs_s.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp11bk5fel.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1094
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.575694e+00, 302 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57569 0 30 1.10940 1.57569 42.0% - 0s
0 0 1.40938 0 28 1.10940 1.40938 27.0% - 0s
0 0 1.39932 0 29 1.10940 1.39932 26.1% - 0s
0 0 1.39931 0 29 1.10940 1.39931 26.1% - 0s
0 0 1.39884 0 30 1.10940 1.39884 26.1% - 0s
0 0 1.39866 0 31 1.10940 1.39866 26.1% - 0s
0 0 1.39866 0 30 1.10940 1.39866 26.1% - 0s
0 2 1.39866 0 30 1.10940 1.39866 26.1% - 0s
Cutting planes:
Gomory: 12
Implied bound: 9
MIR: 1
Flow cover: 14
Inf proof: 5
Explored 609 nodes (3360 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.1094
Optimal solution found (tolerance 1.00e-02)
Best objective 1.109398440131e+00, best bound 1.109398440131e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8tl9ofqr.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpogphl8uk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03607
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.520319e+00, 332 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52032 0 36 1.03607 1.52032 46.7% - 0s
0 0 1.35188 0 24 1.03607 1.35188 30.5% - 0s
0 0 1.34222 0 28 1.03607 1.34222 29.5% - 0s
0 0 1.34204 0 28 1.03607 1.34204 29.5% - 0s
0 0 1.34160 0 29 1.03607 1.34160 29.5% - 0s
0 0 1.34160 0 29 1.03607 1.34160 29.5% - 0s
0 2 1.34160 0 29 1.03607 1.34160 29.5% - 0s
* 240 62 31 1.0476812 1.14972 9.74% 6.4 0s
* 408 35 33 1.0481752 1.11711 6.58% 6.2 0s
* 497 4 31 1.0592232 1.08616 2.54% 6.0 0s
Cutting planes:
Gomory: 12
Implied bound: 7
MIR: 3
Flow cover: 15
Inf proof: 5
Explored 510 nodes (3564 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.05922 1.04818 1.04768 1.03607
Optimal solution found (tolerance 1.00e-02)
Best objective 1.059223229786e+00, best bound 1.059223229786e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe2x8dofq.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_ax6x_04.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.98257
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.451241e+00, 358 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45124 0 39 0.98257 1.45124 47.7% - 0s
0 0 1.29225 0 26 0.98257 1.29225 31.5% - 0s
0 0 1.28271 0 32 0.98257 1.28271 30.5% - 0s
0 0 1.28252 0 30 0.98257 1.28252 30.5% - 0s
0 0 1.28209 0 31 0.98257 1.28209 30.5% - 0s
0 0 1.28149 0 34 0.98257 1.28149 30.4% - 0s
0 0 1.28149 0 34 0.98257 1.28149 30.4% - 0s
0 2 1.28149 0 34 0.98257 1.28149 30.4% - 0s
* 305 54 34 1.0046807 1.06552 6.06% 7.3 0s
Cutting planes:
Gomory: 15
Implied bound: 12
MIR: 4
Flow cover: 18
Inf proof: 5
Explored 589 nodes (4410 simplex iterations) in 0.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.00468 0.98257
Optimal solution found (tolerance 1.00e-02)
Best objective 1.004680723425e+00, best bound 1.004680723425e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmporolwhtt.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzke1nlgw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.918314
Presolve removed 312 rows and 204 columns
Presolve time: 0.02s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.449780e+00, 410 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44978 0 42 0.91831 1.44978 57.9% - 0s
0 0 1.29835 0 30 0.91831 1.29835 41.4% - 0s
0 0 1.29834 0 30 0.91831 1.29834 41.4% - 0s
0 0 1.29000 0 32 0.91831 1.29000 40.5% - 0s
0 0 1.28961 0 35 0.91831 1.28961 40.4% - 0s
0 0 1.28941 0 40 0.91831 1.28941 40.4% - 0s
0 0 1.28940 0 40 0.91831 1.28940 40.4% - 0s
0 0 1.28940 0 40 0.91831 1.28940 40.4% - 0s
0 2 1.28940 0 40 0.91831 1.28940 40.4% - 0s
* 263 128 50 0.9742674 1.13229 16.2% 7.3 0s
* 632 83 40 1.0041234 1.06628 6.19% 7.2 0s
Cutting planes:
Gomory: 13
Implied bound: 14
MIR: 2
Flow cover: 30
Inf proof: 10
Explored 1011 nodes (7405 simplex iterations) in 0.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.00412 0.974267 0.918314
Optimal solution found (tolerance 1.00e-02)
Best objective 1.004123374997e+00, best bound 1.004123374997e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbgldn486.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd084n933.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920639
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.413991e+00, 419 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41399 0 49 0.92064 1.41399 53.6% - 0s
0 0 1.25990 0 36 0.92064 1.25990 36.9% - 0s
0 0 1.25110 0 40 0.92064 1.25110 35.9% - 0s
0 0 1.25100 0 38 0.92064 1.25100 35.9% - 0s
0 0 1.25059 0 42 0.92064 1.25059 35.8% - 0s
0 0 1.25059 0 42 0.92064 1.25059 35.8% - 0s
H 0 0 0.9352930 1.25059 33.7% - 0s
0 2 1.25059 0 42 0.93529 1.25059 33.7% - 0s
* 1933 320 49 0.9490680 1.03190 8.73% 7.4 1s
* 2082 294 48 0.9594863 1.03026 7.38% 7.4 1s
Cutting planes:
Gomory: 15
Cover: 15
Implied bound: 30
MIR: 5
Flow cover: 32
Inf proof: 28
Explored 2743 nodes (22573 simplex iterations) in 1.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.959486 0.949068 0.935293 0.920639
Optimal solution found (tolerance 1.00e-02)
Best objective 9.594863452865e-01, best bound 9.626730535206e-01, gap 0.3321%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpupl698yp.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx5xdvd_m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878666
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.411608e+00, 459 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41161 0 54 0.87867 1.41161 60.7% - 0s
0 0 1.25974 0 43 0.87867 1.25974 43.4% - 0s
0 0 1.25974 0 43 0.87867 1.25974 43.4% - 0s
0 0 1.25174 0 44 0.87867 1.25174 42.5% - 0s
0 0 1.25174 0 46 0.87867 1.25174 42.5% - 0s
0 0 1.25125 0 50 0.87867 1.25125 42.4% - 0s
0 0 1.25124 0 46 0.87867 1.25124 42.4% - 0s
0 0 1.25124 0 43 0.87867 1.25124 42.4% - 0s
H 0 0 0.9194624 1.25124 36.1% - 0s
0 2 1.25124 0 43 0.91946 1.25124 36.1% - 0s
* 2388 447 59 0.9332783 1.03260 10.6% 7.9 1s
* 2390 430 59 0.9377388 1.03260 10.1% 7.9 1s
* 2427 433 55 0.9381402 1.03135 9.94% 8.0 1s
* 2945 457 58 0.9473738 1.02331 8.02% 7.8 1s
Cutting planes:
Gomory: 16
Cover: 18
Implied bound: 29
Clique: 2
MIR: 3
Flow cover: 35
Inf proof: 40
Explored 4002 nodes (33342 simplex iterations) in 2.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.947374 0.93814 0.937739 ... 0.878666
Optimal solution found (tolerance 1.00e-02)
Best objective 9.473738286738e-01, best bound 9.554444258362e-01, gap 0.8519%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgf5atkwa.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgsevvptm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87207
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.380337e+00, 464 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38034 0 57 0.87207 1.38034 58.3% - 0s
0 0 1.22689 0 45 0.87207 1.22689 40.7% - 0s
0 0 1.21927 0 56 0.87207 1.21927 39.8% - 0s
0 0 1.21875 0 55 0.87207 1.21875 39.8% - 0s
0 0 1.21875 0 54 0.87207 1.21875 39.8% - 0s
0 2 1.21875 0 52 0.87207 1.21875 39.8% - 0s
* 1451 554 73 0.9001245 0.98859 9.83% 7.7 0s
* 1883 609 60 0.9139055 0.98718 8.02% 8.7 2s
Cutting planes:
Gomory: 50
Cover: 2
Implied bound: 13
Projected implied bound: 18
MIR: 7
Flow cover: 17
Inf proof: 7
Explored 2606 nodes (22607 simplex iterations) in 3.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.913905 0.900124 0.87207
Optimal solution found (tolerance 1.00e-02)
Best objective 9.139054580157e-01, best bound 9.203051887205e-01, gap 0.7003%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6j296j11.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplwetwa3d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.92376
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.359379e+00, 485 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35938 0 62 0.92376 1.35938 47.2% - 0s
0 0 1.22551 0 46 0.92376 1.22551 32.7% - 0s
0 0 1.22550 0 46 0.92376 1.22550 32.7% - 0s
0 0 1.21809 0 52 0.92376 1.21809 31.9% - 0s
0 0 1.21735 0 53 0.92376 1.21735 31.8% - 0s
0 0 1.21735 0 48 0.92376 1.21735 31.8% - 0s
0 2 1.21735 0 48 0.92376 1.21735 31.8% - 0s
Cutting planes:
Gomory: 49
Cover: 1
Implied bound: 7
Projected implied bound: 18
MIR: 6
Flow cover: 14
Inf proof: 3
Explored 1649 nodes (14798 simplex iterations) in 2.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.92376
Optimal solution found (tolerance 1.00e-02)
Best objective 9.237599929713e-01, best bound 9.272104616493e-01, gap 0.3735%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphfyye7gm.pyomo.lp
Reading time = 0.00 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpip4kw4vm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.93698
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.359411e+00, 503 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35941 0 63 0.93698 1.35941 45.1% - 0s
0 0 1.22503 0 52 0.93698 1.22503 30.7% - 0s
0 0 1.22502 0 52 0.93698 1.22502 30.7% - 0s
0 0 1.21661 0 62 0.93698 1.21661 29.8% - 0s
0 0 1.21649 0 61 0.93698 1.21649 29.8% - 0s
0 0 1.21595 0 60 0.93698 1.21595 29.8% - 0s
0 0 1.21595 0 53 0.93698 1.21595 29.8% - 0s
0 2 1.21595 0 52 0.93698 1.21595 29.8% - 0s
Cutting planes:
Gomory: 42
Cover: 3
Implied bound: 22
Projected implied bound: 17
MIR: 11
Flow cover: 29
Inf proof: 11
Explored 2396 nodes (21582 simplex iterations) in 3.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.93698
Optimal solution found (tolerance 1.00e-02)
Best objective 9.369802045333e-01, best bound 9.390085265260e-01, gap 0.2165%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3d2jtdus.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwp32sjze.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.941714
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.347476e+00, 527 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34748 0 62 0.94171 1.34748 43.1% - 0s
0 0 1.22529 0 48 0.94171 1.22529 30.1% - 0s
0 0 1.22510 0 47 0.94171 1.22510 30.1% - 0s
0 0 1.21781 0 57 0.94171 1.21781 29.3% - 0s
0 0 1.21764 0 54 0.94171 1.21764 29.3% - 0s
0 0 1.21655 0 64 0.94171 1.21655 29.2% - 0s
0 0 1.21655 0 64 0.94171 1.21655 29.2% - 0s
0 0 1.21561 0 63 0.94171 1.21561 29.1% - 0s
0 0 1.21546 0 57 0.94171 1.21546 29.1% - 0s
0 0 1.21507 0 63 0.94171 1.21507 29.0% - 0s
0 0 1.21507 0 61 0.94171 1.21507 29.0% - 0s
0 2 1.21507 0 61 0.94171 1.21507 29.0% - 0s
H 1388 302 0.9417136 0.96389 2.36% 10.4 2s
Cutting planes:
Gomory: 45
Cover: 1
Implied bound: 11
Projected implied bound: 9
Clique: 1
MIR: 10
Flow cover: 12
Inf proof: 1
Explored 1936 nodes (18693 simplex iterations) in 3.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.941714 0.941714
Optimal solution found (tolerance 1.00e-02)
Best objective 9.417135612592e-01, best bound 9.455912558031e-01, gap 0.4118%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps74nhg78.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt44m8mrm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906794
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.300041e+00, 578 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30004 0 63 0.90679 1.30004 43.4% - 0s
0 0 1.17656 0 48 0.90679 1.17656 29.7% - 0s
0 0 1.17656 0 48 0.90679 1.17656 29.7% - 0s
0 0 1.17002 0 56 0.90679 1.17002 29.0% - 0s
0 0 1.16995 0 53 0.90679 1.16995 29.0% - 0s
0 0 1.16809 0 64 0.90679 1.16809 28.8% - 0s
0 0 1.16809 0 63 0.90679 1.16809 28.8% - 0s
0 0 1.16679 0 62 0.90679 1.16679 28.7% - 0s
0 0 1.16646 0 65 0.90679 1.16646 28.6% - 0s
0 0 1.16644 0 64 0.90679 1.16644 28.6% - 0s
0 0 1.16644 0 59 0.90679 1.16644 28.6% - 0s
0 2 1.16644 0 59 0.90679 1.16644 28.6% - 0s
Cutting planes:
Gomory: 18
Cover: 14
Implied bound: 33
Clique: 1
MIR: 7
Flow cover: 35
Inf proof: 32
Explored 4185 nodes (37393 simplex iterations) in 3.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.906794
Optimal solution found (tolerance 1.00e-02)
Best objective 9.067941776747e-01, best bound 9.144722011436e-01, gap 0.8467%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67pdj2v9.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbgg58nf_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.918108
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.305623e+00, 574 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30562 0 68 0.91811 1.30562 42.2% - 0s
0 0 1.17604 0 58 0.91811 1.17604 28.1% - 0s
0 0 1.16731 0 66 0.91811 1.16731 27.1% - 0s
0 0 1.16701 0 63 0.91811 1.16701 27.1% - 0s
0 0 1.16576 0 71 0.91811 1.16576 27.0% - 0s
0 0 1.16573 0 74 0.91811 1.16573 27.0% - 0s
0 0 1.16541 0 76 0.91811 1.16541 26.9% - 0s
0 0 1.16541 0 70 0.91811 1.16541 26.9% - 0s
0 2 1.16541 0 70 0.91811 1.16541 26.9% - 0s
Cutting planes:
Gomory: 51
Cover: 4
Implied bound: 10
Projected implied bound: 22
Clique: 2
MIR: 6
Flow cover: 38
Inf proof: 9
Explored 2802 nodes (27286 simplex iterations) in 3.64 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.918108
Optimal solution found (tolerance 1.00e-02)
Best objective 9.181081456948e-01, best bound 9.272735471213e-01, gap 0.9983%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5sth5a55.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpggxo9xps.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920683
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.303003e+00, 632 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30300 0 70 0.92068 1.30300 41.5% - 0s
0 0 1.17490 0 62 0.92068 1.17490 27.6% - 0s
0 0 1.16901 0 73 0.92068 1.16901 27.0% - 0s
0 0 1.16901 0 73 0.92068 1.16901 27.0% - 0s
0 0 1.16820 0 73 0.92068 1.16820 26.9% - 0s
0 0 1.16820 0 69 0.92068 1.16820 26.9% - 0s
0 2 1.16820 0 69 0.92068 1.16820 26.9% - 0s
H 2545 448 0.9206825 0.96164 4.45% 12.6 4s
3293 188 infeasible 63 0.92068 0.93954 2.05% 12.9 5s
Cutting planes:
Gomory: 54
Cover: 5
Implied bound: 13
Projected implied bound: 32
MIR: 9
Flow cover: 44
Inf proof: 20
Explored 4689 nodes (55280 simplex iterations) in 6.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.920683 0.920683
Optimal solution found (tolerance 1.00e-02)
Best objective 9.206825457132e-01, best bound 9.295131906820e-01, gap 0.9591%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3khlv035.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp84k4fj1t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.888061
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.256269e+00, 628 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25627 0 69 0.88806 1.25627 41.5% - 0s
0 0 1.13458 0 62 0.88806 1.13458 27.8% - 0s
0 0 1.13458 0 62 0.88806 1.13458 27.8% - 0s
0 0 1.12841 0 73 0.88806 1.12841 27.1% - 0s
0 0 1.12841 0 74 0.88806 1.12841 27.1% - 0s
0 0 1.12789 0 73 0.88806 1.12789 27.0% - 0s
0 0 1.12789 0 68 0.88806 1.12789 27.0% - 0s
0 2 1.12789 0 68 0.88806 1.12789 27.0% - 0s
Cutting planes:
Gomory: 60
Cover: 4
Implied bound: 10
Projected implied bound: 23
MIR: 14
Flow cover: 35
Inf proof: 16
Explored 2410 nodes (30993 simplex iterations) in 4.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.888061
Optimal solution found (tolerance 1.00e-02)
Best objective 8.880611438531e-01, best bound 8.939532092107e-01, gap 0.6635%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7ozsuts4.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_bx4o50x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.883256
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.239578e+00, 633 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23958 0 73 0.88326 1.23958 40.3% - 0s
0 0 1.11738 0 61 0.88326 1.11738 26.5% - 0s
0 0 1.11128 0 73 0.88326 1.11128 25.8% - 0s
0 0 1.11100 0 70 0.88326 1.11100 25.8% - 0s
0 0 1.11052 0 71 0.88326 1.11052 25.7% - 0s
0 0 1.11052 0 71 0.88326 1.11052 25.7% - 0s
0 0 1.11015 0 71 0.88326 1.11015 25.7% - 0s
0 0 1.11015 0 66 0.88326 1.11015 25.7% - 0s
0 2 1.11015 0 66 0.88326 1.11015 25.7% - 0s
Cutting planes:
Gomory: 65
Cover: 1
Implied bound: 11
Projected implied bound: 27
Clique: 1
MIR: 9
Flow cover: 23
Inf proof: 21
Explored 3035 nodes (36849 simplex iterations) in 4.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.883256
Optimal solution found (tolerance 1.00e-02)
Best objective 8.832562721696e-01, best bound 8.889749400208e-01, gap 0.6475%
Number of Periods: 45
Run 0
Seed for training 792
Seed for simulation 79
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-94.08373215, 94.08373362, 62.96921149]])
fopt: 0.7450225854141896
fun: -0.7445060235335204
message: 'Optimization terminated successfully.'
nfev: 344
nit: 6
status: 0
success: True
x: array([ 85.98099809, 173.0092865 , 118.42750847])
xopt: array([ 86., 173., 119.])
zopt: array([ 86., 259., 378.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf00lh_sd.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwf7b0q3o.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.745023
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.014342e+00, 1066 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01434 0 98 0.74502 1.01434 36.1% - 0s
0 0 0.96367 0 117 0.74502 0.96367 29.3% - 0s
0 0 0.96365 0 117 0.74502 0.96365 29.3% - 0s
0 0 0.95943 0 133 0.74502 0.95943 28.8% - 0s
0 0 0.95933 0 124 0.74502 0.95933 28.8% - 0s
0 0 0.95838 0 127 0.74502 0.95838 28.6% - 0s
0 0 0.95834 0 128 0.74502 0.95834 28.6% - 0s
0 0 0.95808 0 135 0.74502 0.95808 28.6% - 0s
0 0 0.95808 0 122 0.74502 0.95808 28.6% - 0s
0 2 0.95808 0 122 0.74502 0.95808 28.6% - 0s
1186 641 cutoff 86 0.74502 0.90491 21.5% 21.0 5s
3197 1128 0.78260 36 98 0.74502 0.88152 18.3% 28.4 10s
H 4585 1579 0.7479523 0.87339 16.8% 31.7 13s
5025 1701 cutoff 32 0.74795 0.87180 16.6% 32.0 15s
* 5750 1218 159 0.7962798 0.86973 9.22% 32.0 17s
H 6411 1202 0.8029122 0.86632 7.90% 32.3 19s
6450 1190 cutoff 34 0.80291 0.86632 7.90% 32.4 20s
8054 1425 cutoff 34 0.80291 0.85966 7.07% 32.7 25s
H 9318 1666 0.8029122 0.85501 6.49% 32.4 28s
9537 1674 0.83481 56 80 0.80291 0.85473 6.45% 32.0 30s
12087 2048 0.81080 62 86 0.80291 0.84869 5.70% 30.7 35s
14733 2266 0.81503 38 124 0.80291 0.84274 4.96% 29.8 40s
17421 2438 infeasible 50 0.80291 0.83722 4.27% 28.9 45s
H18334 2590 0.8029122 0.83579 4.09% 28.7 48s
18841 2586 cutoff 58 0.80291 0.83472 3.96% 28.7 50s
21088 2874 0.81952 44 115 0.80291 0.83123 3.53% 28.0 66s
22468 2901 0.81547 70 82 0.80291 0.82853 3.19% 28.4 70s
24810 3156 0.80620 70 67 0.80291 0.82532 2.79% 28.7 75s
*26848 3336 129 0.8046158 0.82388 2.39% 28.3 78s
27775 3435 cutoff 78 0.80462 0.82270 2.25% 28.2 80s
*29240 3416 135 0.8052536 0.82187 2.06% 27.9 83s
*29366 2873 131 0.8079962 0.82184 1.71% 27.9 83s
29934 2839 cutoff 60 0.80800 0.82108 1.62% 27.8 85s
32129 2386 infeasible 89 0.80800 0.81789 1.22% 27.8 90s
34262 1578 cutoff 49 0.80800 0.81394 0.74% 27.9 95s
37492 551 cutoff 112 0.80800 0.80920 0.15% 26.8 100s
Cutting planes:
Gomory: 156
Cover: 2
Implied bound: 60
Projected implied bound: 25
Clique: 2
MIR: 32
Flow cover: 117
Inf proof: 195
Explored 38291 nodes (1014424 simplex iterations) in 101.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 0.807996 0.805254 0.804616 ... 0.745023
Optimal solution found (tolerance 0.00e+00)
Best objective 8.079961878268e-01, best bound 8.079961878268e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_1kziovo.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2earslcg.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 670 rows and 478 columns
Presolve time: 0.00s
Presolved: 276 rows, 333 columns, 1365 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.4157156e+01 5.151250e+02 0.000000e+00 0s
151 1.5241841e+01 0.000000e+00 0.000000e+00 0s
Solved in 151 iterations and 0.01 seconds
Optimal objective 1.524184090e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00294318, -0.01395032, -0.01395032]])
fopt: 3.5534126956833925
fun: -3.564461751680684
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 19.98779859, -87.9999986 , -87.9999986 ])
xopt: array([20., 0., 0.])
zopt: array([20., 20., 20.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.52782472e-06, 8.20117598e-08, 4.95150705e-07]])
fopt: 2.9360072398084025
fun: -2.957264857306792
message: 'Optimization terminated successfully.'
nfev: 324
nit: 5
status: 0
success: True
x: array([40.45756362, -0.78970944, -7.99647865])
xopt: array([40., 0., 0.])
zopt: array([40., 40., 40.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.20667117, 0.29052413, 0.00613103]])
fopt: 2.29794811140718
fun: -2.312697404803342
message: 'Optimization terminated successfully.'
nfev: 210
nit: 3
status: 0
success: True
x: array([ 64.80743561, -86.99790526, -0.94733281])
xopt: array([65., 0., 0.])
zopt: array([65., 65., 65.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.11875171, 0.00269523, 0.12126603]])
fopt: 1.9796472340990814
fun: -1.988168212266764
message: 'Optimization terminated successfully.'
nfev: 219
nit: 3
status: 0
success: True
x: array([ 89.0012625 , -0.98227233, -86.99787457])
xopt: array([89., 0., 0.])
zopt: array([89., 89., 89.])
*******************************************
Period: 5
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.77944117, -0. , 0.01434835]])
fopt: 1.8769053561666227
fun: -1.8777934687530202
message: 'Optimization terminated successfully.'
nfev: 267
nit: 3
status: 0
success: True
x: array([108.00000322, 2. , -0.99976649])
xopt: array([108., 2., 0.])
zopt: array([108., 110., 110.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.53368377e-02, -1.02831206e-08, -2.19933441e-07]])
fopt: 1.6679364372974477
fun: -1.677075839389268
message: 'Optimization terminated successfully.'
nfev: 360
nit: 3
status: 0
success: True
x: array([126.07680749, 1.00000965, 1.00108571])
xopt: array([126., 1., 1.])
zopt: array([126., 127., 128.])
*******************************************
Period: 7
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2427: RuntimeWarning: overflow encountered in multiply return func(p + alpha*xi) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:345: RuntimeWarning: invalid value encountered in subtract R = z - IP #replenishmet order to reach zopt /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2429: RuntimeWarning: overflow encountered in multiply xi = alpha_min*xi /home/hdpp/or-gym/or_gym/algos/math_prog_utils.py:237: RuntimeWarning: invalid value encountered in remainder if local_search & (np.sum(np.mod(xopt,1)) != 0):
direc: array([[ 3.91952285e-02, 2.74747984e-04, -1.39939056e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.65270977e-02, 3.59543080e-04, -9.90453038e+00]])
fopt: -2.8236903468449954e+304
fun: nan
message: 'NaN result encountered.'
nfev: 1134
nit: 4
status: 3
success: False
x: array([2.74848811e+306, 1.02375385e+304, -inf])
xopt: array([2.74848811e+306, 1.02375385e+304, 0.00000000e+000])
zopt: array([2.74848811e+306, 2.75872565e+306, 2.75872565e+306])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.3644470973867113
fun: -1.3642108737913272
message: 'Optimization terminated successfully.'
nfev: 220
nit: 3
status: 0
success: True
x: array([159.83701866, 1.00778817, 1.05560092])
xopt: array([159., 2., 1.])
zopt: array([159., 161., 162.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1486
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[ 1. , 0. , 0. ],
[ 0. , 0. , 1. ],
[-5.93196255, 3.976817 , -0.00943656]])
fopt: 1.4480942935787473
fun: -1.4481412001696699
message: 'Optimization terminated successfully.'
nfev: 616
nit: 9
status: 0
success: True
x: array([90.00015697, 91.03235446, -0.99967106])
xopt: array([90., 92., 0.])
zopt: array([ 90., 182., 182.])
*******************************************
Period: 11
direc: array([[-10.91692972, 8. , 7.0085451 ],
[ -2.72923243, 1. , 1. ],
[-72.65442907, 53.24166557, 46.64946911]])
fopt: 1.1304531036567698
fun: -1.1259928373125636
message: 'Optimization terminated successfully.'
nfev: 813
nit: 9
status: 0
success: True
x: array([65.72440078, 86.00000127, 77.53298555])
xopt: array([66., 87., 77.])
zopt: array([ 66., 153., 230.])
*******************************************
Period: 12
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.18927853e+00, 9.87296922e-01, -2.05567313e-05],
[-1.07227476e+02, 9.71034494e+01, 2.80436641e-01]])
fopt: 1.1696057878186639
fun: -1.1695203839544401
message: 'Optimization terminated successfully.'
nfev: 371
nit: 5
status: 0
success: True
x: array([ 7.20000000e+01, 1.01003598e+02, -6.13751917e-02])
xopt: array([ 72., 102., 0.])
zopt: array([ 72., 174., 174.])
*******************************************
Period: 13
direc: array([[ 1. , 0. , 0. ],
[ 0. , 0. , 1. ],
[-2.59236602, 1. , 0. ]])
fopt: 0.8326045823269401
fun: -0.8330572958222409
message: 'Optimization terminated successfully.'
nfev: 502
nit: 5
status: 0
success: True
x: array([176.99999461, 4.00000001, 1.00739393])
xopt: array([176., 5., 1.])
zopt: array([176., 181., 182.])
*******************************************
Period: 14
direc: array([[ 0. , 0. , 1. ],
[ -4.17279678, 3. , 0. ],
[-95.48940588, 80.09326563, 0. ]])
fopt: 0.9573958261454641
fun: -0.9564119175777948
message: 'Optimization terminated successfully.'
nfev: 685
nit: 7
status: 0
success: True
x: array([71. , 93.08281543, -0.09949668])
xopt: array([71., 94., 0.])
zopt: array([ 71., 165., 165.])
*******************************************
Period: 15
direc: array([[ 4.61226936e-17, -2.22425290e-10, -1.19705200e-12],
[ 5.65671062e-04, 3.14977011e-06, 6.79298033e-11],
[-1.04591891e-11, -5.68434189e-14, 7.89336979e-02]])
fopt: 0.7009745587301647
fun: -0.7009447291789452
message: 'Optimization terminated successfully.'
nfev: 545
nit: 6
status: 0
success: True
x: array([ 1.80591819e+02, 4.00000332e+00, -6.86973570e-02])
xopt: array([180., 5., 0.])
zopt: array([180., 185., 185.])
*******************************************
Period: 16
direc: array([[0. , 0. , 1. ],
[0. , 0. , 0. ],
[0. , 1.05946909, 0. ]])
fopt: 0.6477405941100369
fun: -0.6479151980528508
message: 'Optimization terminated successfully.'
nfev: 474
nit: 5
status: 0
success: True
x: array([1.79659576e+02, 4.05946909e+00, 2.40901480e-02])
xopt: array([179., 5., 0.])
zopt: array([179., 184., 184.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -5.07941923e-02, 2.73783865e-07]])
fopt: 0.6048783083713671
fun: -0.6046980144224119
message: 'Optimization terminated successfully.'
nfev: 510
nit: 6
status: 0
success: True
x: array([180.97534727, 5.04064724, -0.28183805])
xopt: array([180., 6., 0.])
zopt: array([180., 186., 186.])
*******************************************
Period: 18
direc: array([[ 0. , 0. , 1. ],
[ 0. , 0. , 0. ],
[ 0. , 17.78018408, -1.23323863]])
fopt: 0.58297241110341
fun: -0.5821924875634896
message: 'Optimization terminated successfully.'
nfev: 488
nit: 7
status: 0
success: True
x: array([180.25169813, 25.72803983, -0.95872866])
xopt: array([180., 25., 0.])
zopt: array([180., 205., 205.])
*******************************************
Period: 19
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[3.81823865e-09, 2.13293430e-11, 5.26957082e-14],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.5163011295094501
fun: -0.5159737359782457
message: 'Optimization terminated successfully.'
nfev: 377
nit: 3
status: 0
success: True
x: array([180.01342113, 3. , 1.02443597])
xopt: array([180., 4., 1.])
zopt: array([180., 184., 185.])
*******************************************
Period: 20
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[3.28529355e-05, 1.83618042e-07, 4.63646649e-12],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4785734468303008
fun: -0.47900288982014594
message: 'Optimization terminated successfully.'
nfev: 368
nit: 3
status: 0
success: True
x: array([179.92000842, 3.00000018, 1.00315113])
xopt: array([179., 4., 1.])
zopt: array([179., 183., 184.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 2.52900471e-02, 1.41058701e-04, 3.49321835e-09],
[-1.64055791e-09, 4.00000000e+00, -8.34788863e-07]])
fopt: 0.4699487688537466
fun: -0.46900832934910225
message: 'Optimization terminated successfully.'
nfev: 833
nit: 7
status: 0
success: True
x: array([180.31268521, 23.27958498, 1.00001077])
xopt: array([180., 24., 1.])
zopt: array([180., 204., 205.])
*******************************************
Period: 22
direc: array([[0. , 0. , 1. ],
[0. , 0. , 0. ],
[0. , 4.00000005, 0. ]])
fopt: 0.4982105797305852
fun: -0.49733772801558296
message: 'Optimization terminated successfully.'
nfev: 421
nit: 5
status: 0
success: True
x: array([181.43745738, 24.09965095, 1.00118238])
xopt: array([181., 24., 1.])
zopt: array([181., 205., 206.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 5.20117332e-09, 2.90594739e-11, 4.80175922e-16],
[ 5.20122967e-09, 1.00000000e+00, -5.50551654e-06]])
fopt: 0.47985344435073907
fun: -0.47991291392011987
message: 'Optimization terminated successfully.'
nfev: 401
nit: 4
status: 0
success: True
x: array([179.98374001, 4.05572809, 1.00000519])
xopt: array([179., 5., 1.])
zopt: array([179., 184., 185.])
*******************************************
Period: 24
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.50776508e+01, -3.20223444e-05]])
fopt: 0.5294787889847261
fun: -0.5297980808590331
message: 'Optimization terminated successfully.'
nfev: 621
nit: 7
status: 0
success: True
x: array([ 1.79983740e+02, 2.40124974e+01, -1.04932639e-01])
xopt: array([179., 25., 0.])
zopt: array([179., 204., 204.])
*******************************************
Period: 25
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[4.17689397e-05, 1.00000023e+00, 2.04219971e-05],
[7.77095174e-04, 1.30265550e+01, 6.88296078e-03]])
fopt: 0.5467953150290089
fun: -0.5469045723167981
message: 'Optimization terminated successfully.'
nfev: 780
nit: 7
status: 0
success: True
x: array([179.98510371, 25.06234595, -0.60620665])
xopt: array([179., 26., 0.])
zopt: array([179., 205., 205.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 2.00000000e+00, -1.18320713e-08]])
fopt: 0.5287695378903956
fun: -0.5290266533644775
message: 'Optimization terminated successfully.'
nfev: 680
nit: 8
status: 0
success: True
x: array([179.98374 , 25.0135882 , 1.00044566])
xopt: array([179., 26., 1.])
zopt: array([179., 205., 206.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.05491762e+00, -2.00035380e-07]])
fopt: 0.5151595681710961
fun: -0.5172117523683727
message: 'Optimization terminated successfully.'
nfev: 389
nit: 4
status: 0
success: True
x: array([179.98374 , 4.05491762, 1.00012898])
xopt: array([179., 5., 1.])
zopt: array([179., 184., 185.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.25801818e-02, 7.02867301e-05, 1.14990835e-09],
[-0.00000000e+00, -6.81410826e-07, -0.00000000e+00]])
fopt: 0.5307039215919522
fun: -0.5323177936692765
message: 'Optimization terminated successfully.'
nfev: 632
nit: 5
status: 0
success: True
x: array([179.99632018, 6.0000685 , 1.00001595])
xopt: array([179., 7., 1.])
zopt: array([179., 186., 187.])
*******************************************
Period: 29
direc: array([[ 0., 0., 1.],
[ 0., 0., 0.],
[ 0., 0., -0.]])
fopt: 0.5397255225187276
fun: -0.5428330084392998
message: 'Optimization terminated successfully.'
nfev: 450
nit: 6
status: 0
success: True
x: array([179.98374 , 6. , 1.04432673])
xopt: array([179., 6., 1.])
zopt: array([179., 185., 186.])
*******************************************
Period: 30
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 5.02735256e-06, 2.80883200e-08, 3.69240179e-09],
[ 5.02681482e-06, 1.00000003e+00, -2.38726508e-02]])
fopt: 0.5264656339734005
fun: -0.5287945825840956
message: 'Optimization terminated successfully.'
nfev: 576
nit: 5
status: 0
success: True
x: array([179.98375005, 4.00000006, 1.0237516 ])
xopt: array([179., 5., 1.])
zopt: array([179., 184., 185.])
*******************************************
Period: 31
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.71291633e-02, -3.01198753e-04, -1.19251129e-06]])
fopt: 0.5079519237065405
fun: -0.5108258674012642
message: 'Optimization terminated successfully.'
nfev: 255
nit: 3
status: 0
success: True
x: array([202.02993628, 3.00002881, 1.00355207])
xopt: array([202., 3., 1.])
zopt: array([202., 205., 206.])
*******************************************
Period: 32
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.30811189e-02, 5.20053491e-04, 1.04064248e-03]])
fopt: 0.7597473003787791
fun: -0.7603118971186152
message: 'Optimization terminated successfully.'
nfev: 363
nit: 4
status: 0
success: True
x: array([180.00052624, 3.00039725, 203.00000129])
xopt: array([180., 4., 204.])
zopt: array([180., 184., 388.])
*******************************************
Period: 33
direc: array([[ 3.42451162e+00, 1.91330879e-02, 1.91330879e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.40991819e-06, 4.61406236e+01, 3.23232721e+01]])
fopt: 0.7934001821982429
fun: -0.7930352651052294
message: 'Optimization terminated successfully.'
nfev: 709
nit: 10
status: 0
success: True
x: array([ 90.81043545, 161.00133089, 113.02566009])
xopt: array([ 90., 161., 114.])
zopt: array([ 90., 251., 365.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 87.15423857, 58.10282572]])
fopt: 0.5928449521742135
fun: -0.5920235573124184
message: 'Optimization terminated successfully.'
nfev: 508
nit: 7
status: 0
success: True
x: array([179.98374 , 91.40298875, 63.10146873])
xopt: array([179., 91., 64.])
zopt: array([179., 270., 334.])
*******************************************
Period: 35
direc: array([[ 9.63394566e-02, 5.38258149e-04, 5.38258149e-04],
[-5.01791458e-05, -5.21950120e-04, -5.21950120e-04],
[-1.69401915e-08, 2.00000000e+00, -3.96360589e-09]])
fopt: 0.4537887521500137
fun: -0.4544349419219365
message: 'Optimization terminated successfully.'
nfev: 1372
nit: 14
status: 0
success: True
x: array([180.07757651, 22. , 3.00000001])
xopt: array([180., 23., 4.])
zopt: array([180., 203., 207.])
*******************************************
Period: 36
direc: array([[-5.50968757e-03, -3.13944887e-05, -3.27326475e-05],
[ 1.14191993e-17, -5.02221696e-05, -5.02221696e-05],
[-0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.43580731098857667
fun: -0.43643227885371455
message: 'Optimization terminated successfully.'
nfev: 673
nit: 8
status: 0
success: True
x: array([179.97824433, 11.00917361, 4.00691466])
xopt: array([179., 12., 5.])
zopt: array([179., 191., 196.])
*******************************************
Period: 37
direc: array([[ 6.40413911e-02, 3.57805637e-04, 3.57805637e-04],
[-8.57043381e-09, -1.34003132e-07, -1.34003132e-07],
[ 6.11453334e-14, -7.13651515e-11, 3.65524541e-16]])
fopt: 0.4192898066788116
fun: -0.42001105079613044
message: 'Optimization terminated successfully.'
nfev: 502
nit: 6
status: 0
success: True
x: array([180.04103013, 10.00031781, 3.00031781])
xopt: array([180., 11., 4.])
zopt: array([180., 191., 195.])
*******************************************
Period: 38
direc: array([[ 2.06880482e-03, 1.15586188e-05, 1.15586188e-05],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.44201667e-04, 9.99998636e-01, -1.36437906e-06]])
fopt: 0.4046856330881118
fun: -0.40529436475417235
message: 'Optimization terminated successfully.'
nfev: 390
nit: 5
status: 0
success: True
x: array([179.98434657, 6.00000339, 3.03557945])
xopt: array([179., 7., 4.])
zopt: array([179., 186., 190.])
*******************************************
Period: 39
direc: array([[ 1.09090359, 3.00606821, 2.00613924],
[ 0. , 1. , 0. ],
[-112.96998702, 65.93176446, 19.20865011]])
fopt: 0.7529400581698862
fun: -0.7520219678119564
message: 'Optimization terminated successfully.'
nfev: 676
nit: 9
status: 0
success: True
x: array([ 90.63435094, 182.00000003, 92.45471586])
xopt: array([ 90., 182., 93.])
zopt: array([ 90., 272., 365.])
*******************************************
Period: 40
direc: array([[ 3.07008124e-02, 1.69873384e-04, 1.69873384e-04],
[-4.65790759e-06, -1.52730885e-04, -1.52730885e-04],
[-2.98026066e-08, 9.99999928e-01, -7.17392372e-08]])
fopt: 0.3792531365695681
fun: -0.37984638439281976
message: 'Optimization terminated successfully.'
nfev: 674
nit: 8
status: 0
success: True
x: array([181.76700693, 8.00819221, 3.00006159])
xopt: array([181., 9., 4.])
zopt: array([181., 190., 194.])
*******************************************
Period: 41
direc: array([[ 2.11308652e-02, 1.24041981e-04, 1.25708966e-04],
[-3.46466328e-08, 4.95182519e-04, 2.47591111e-04],
[ 1.39130151e-15, -1.00049436e-11, -1.00024676e-11]])
fopt: 0.37127888347479115
fun: -0.37167958492304726
message: 'Optimization terminated successfully.'
nfev: 591
nit: 6
status: 0
success: True
x: array([180.28038109, 7.05290293, 6.01107043])
xopt: array([180., 8., 7.])
zopt: array([180., 188., 195.])
*******************************************
Period: 42
direc: array([[ 5.73408066e-02, 3.19983231e-04, 3.19983231e-04],
[-2.66006516e-08, -4.85991277e-07, -4.85991277e-07],
[-2.04572165e-04, 4.11308391e+00, -4.66874371e-06]])
fopt: 0.4886997803996521
fun: -0.48799365716995996
message: 'Optimization terminated successfully.'
nfev: 835
nit: 8
status: 0
success: True
x: array([180.25487565, 188.4013445 , 3.00015092])
xopt: array([180., 188., 4.])
zopt: array([180., 368., 372.])
*******************************************
Period: 43
direc: array([[ 3.12507445e-02, 1.74795866e-04, 1.74795866e-04],
[-1.66541207e-07, -5.85827991e-06, -5.85827991e-06],
[-3.23005013e-03, 1.99995712e+00, -4.28788765e-05]])
fopt: 0.36930682353460476
fun: -0.3698221056099019
message: 'Optimization terminated successfully.'
nfev: 418
nit: 6
status: 0
success: True
x: array([179.80032405, 9.00000972, 3.00000972])
xopt: array([179., 10., 4.])
zopt: array([179., 189., 193.])
*******************************************
Period: 44
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 132.51106682, 75.72060961]])
fopt: 0.568365157491366
fun: -0.5668003097241849
message: 'Optimization terminated successfully.'
nfev: 519
nit: 8
status: 0
success: True
x: array([180.92928637, 146.0012383 , 85. ])
xopt: array([180., 146., 86.])
zopt: array([180., 326., 412.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp70i2vh_7.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp501a6gnr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.04321
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.04321
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc3nvxsg7.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7wvl170f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25968
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.936007e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.9360072 2.93601 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.93601 1.25968
Optimal solution found (tolerance 1.00e-02)
Best objective 2.936007239808e+00, best bound 2.936007239808e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph_p9pdi9.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq81kuaos.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.78254
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.297948e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.2979481 2.29795 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.29795 1.78254
Optimal solution found (tolerance 1.00e-02)
Best objective 2.297948111407e+00, best bound 2.297948111407e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7y2lhk23.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2z5uuvz7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.53398
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.452238e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.45224 0 3 1.53398 2.45224 59.9% - 0s
H 0 0 1.9796472 2.45224 23.9% - 0s
0 0 cutoff 0 1.97965 1.97965 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 3
Explored 1 nodes (63 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.97965 1.53398
Optimal solution found (tolerance 1.00e-02)
Best objective 1.979647234099e+00, best bound 1.979647234099e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqf_yxxog.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm2av4gah.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3725
Presolve removed 123 rows and 85 columns
Presolve time: 0.00s
Presolved: 114 rows, 90 columns, 380 nonzeros
Variable types: 43 continuous, 47 integer (42 binary)
Root relaxation: objective 2.542110e+00, 65 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.54211 0 4 1.37250 2.54211 85.2% - 0s
H 0 0 1.9895504 2.54211 27.8% - 0s
0 0 2.09091 0 1 1.98955 2.09091 5.09% - 0s
0 0 2.09091 0 2 1.98955 2.09091 5.09% - 0s
0 0 2.06572 0 2 1.98955 2.06572 3.83% - 0s
0 0 2.06572 0 4 1.98955 2.06572 3.83% - 0s
0 0 2.06559 0 4 1.98955 2.06559 3.82% - 0s
0 0 2.06452 0 3 1.98955 2.06452 3.77% - 0s
0 0 2.06452 0 3 1.98955 2.06452 3.77% - 0s
0 0 2.06452 0 1 1.98955 2.06452 3.77% - 0s
0 0 2.06451 0 2 1.98955 2.06451 3.77% - 0s
0 0 2.06451 0 3 1.98955 2.06451 3.77% - 0s
0 0 2.06450 0 5 1.98955 2.06450 3.77% - 0s
0 0 2.06450 0 4 1.98955 2.06450 3.77% - 0s
0 0 cutoff 0 1.98955 1.98955 0.00% - 0s
Cutting planes:
MIR: 5
Explored 1 nodes (144 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.98955 1.3725
Optimal solution found (tolerance 1.00e-02)
Best objective 1.989550424677e+00, best bound 1.989550424677e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt9sizowm.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcykmdhef.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.52534
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 2.433736e+00, 86 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.43374 0 5 1.52534 2.43374 59.6% - 0s
H 0 0 1.8638362 2.43374 30.6% - 0s
0 0 1.98384 0 2 1.86384 1.98384 6.44% - 0s
H 0 0 1.8638362 1.98384 6.44% - 0s
0 0 1.97621 0 3 1.86384 1.97621 6.03% - 0s
0 0 1.97606 0 4 1.86384 1.97606 6.02% - 0s
0 0 1.96600 0 6 1.86384 1.96600 5.48% - 0s
0 0 1.96600 0 6 1.86384 1.96600 5.48% - 0s
0 0 1.94173 0 2 1.86384 1.94173 4.18% - 0s
0 0 1.94173 0 2 1.86384 1.94173 4.18% - 0s
0 0 1.93857 0 2 1.86384 1.93857 4.01% - 0s
0 0 1.93781 0 2 1.86384 1.93781 3.97% - 0s
0 0 1.93781 0 2 1.86384 1.93781 3.97% - 0s
0 0 1.93781 0 2 1.86384 1.93781 3.97% - 0s
0 0 1.93781 0 2 1.86384 1.93781 3.97% - 0s
0 0 cutoff 0 1.86384 1.86384 0.00% - 0s
Cutting planes:
MIR: 2
Flow cover: 1
Explored 1 nodes (178 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.86384 1.86384 1.86384 1.52534
Optimal solution found (tolerance 1.00e-02)
Best objective 1.863836214909e+00, best bound 1.863836214909e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0bs1k1sz.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptfsoo8b0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49414
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.386802e+00, 108 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.38680 0 8 1.49414 2.38680 59.7% - 0s
H 0 0 1.7309224 2.38680 37.9% - 0s
0 0 2.08052 0 12 1.73092 2.08052 20.2% - 0s
0 0 1.94227 0 4 1.73092 1.94227 12.2% - 0s
0 0 1.94193 0 4 1.73092 1.94193 12.2% - 0s
0 0 1.94193 0 4 1.73092 1.94193 12.2% - 0s
H 0 0 1.8155583 1.94193 6.96% - 0s
0 0 1.94193 0 3 1.81556 1.94193 6.96% - 0s
0 0 1.88368 0 3 1.81556 1.88368 3.75% - 0s
0 0 1.82119 0 1 1.81556 1.82119 0.31% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
MIR: 2
Flow cover: 5
Explored 1 nodes (232 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.81556 1.73092 1.49414
Optimal solution found (tolerance 1.00e-02)
Best objective 1.815558254108e+00, best bound 1.821188741061e+00, gap 0.3101%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprn3dlu60.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe6_is3ku.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.5195
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.239854e+00, 126 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.23985 0 11 1.51950 2.23985 47.4% - 0s
H 0 0 1.6781982 2.23985 33.5% - 0s
0 0 1.91346 0 16 1.67820 1.91346 14.0% - 0s
0 0 1.79919 0 7 1.67820 1.79919 7.21% - 0s
0 0 1.79754 0 7 1.67820 1.79754 7.11% - 0s
0 0 1.79754 0 7 1.67820 1.79754 7.11% - 0s
0 0 1.79754 0 5 1.67820 1.79754 7.11% - 0s
0 0 1.73936 0 4 1.67820 1.73936 3.64% - 0s
0 0 1.72844 0 4 1.67820 1.72844 2.99% - 0s
0 0 1.68296 0 1 1.67820 1.68296 0.28% - 0s
Cutting planes:
Gomory: 3
Implied bound: 1
MIR: 4
Flow cover: 2
Explored 1 nodes (292 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.6782 1.5195
Optimal solution found (tolerance 1.00e-02)
Best objective 1.678198195652e+00, best bound 1.682959980858e+00, gap 0.2837%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcelslyo_.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8kb6re3m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41437
Presolve removed 186 rows and 123 columns
Presolve time: 0.00s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.219424e+00, 149 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21942 0 14 1.41437 2.21942 56.9% - 0s
H 0 0 1.6624535 2.21942 33.5% - 0s
0 0 1.88391 0 22 1.66245 1.88391 13.3% - 0s
0 0 1.78337 0 10 1.66245 1.78337 7.27% - 0s
0 0 1.78094 0 10 1.66245 1.78094 7.13% - 0s
0 0 1.77978 0 10 1.66245 1.77978 7.06% - 0s
0 0 1.77978 0 10 1.66245 1.77978 7.06% - 0s
0 0 1.77978 0 8 1.66245 1.77978 7.06% - 0s
0 0 1.73982 0 4 1.66245 1.73982 4.65% - 0s
0 0 1.71181 0 6 1.66245 1.71181 2.97% - 0s
0 0 1.71125 0 6 1.66245 1.71125 2.94% - 0s
0 0 1.68200 0 4 1.66245 1.68200 1.18% - 0s
0 0 1.68192 0 6 1.66245 1.68192 1.17% - 0s
0 0 1.67819 0 5 1.66245 1.67819 0.95% - 0s
Cutting planes:
Gomory: 7
Implied bound: 3
MIR: 7
Flow cover: 3
Explored 1 nodes (408 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.66245 1.41437
Optimal solution found (tolerance 1.00e-02)
Best objective 1.662453546299e+00, best bound 1.678189727276e+00, gap 0.9466%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkoazela9.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeu1mktj2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.44367
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 2.099988e+00, 168 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09999 0 17 1.44367 2.09999 45.5% - 0s
H 0 0 1.5518603 2.09999 35.3% - 0s
0 0 1.76472 0 28 1.55186 1.76472 13.7% - 0s
0 0 1.67627 0 13 1.55186 1.67627 8.02% - 0s
0 0 1.66923 0 11 1.55186 1.66923 7.56% - 0s
0 0 1.66837 0 11 1.55186 1.66837 7.51% - 0s
0 0 1.66837 0 11 1.55186 1.66837 7.51% - 0s
0 0 1.66724 0 11 1.55186 1.66724 7.43% - 0s
0 0 1.66724 0 11 1.55186 1.66724 7.43% - 0s
0 2 1.66724 0 11 1.55186 1.66724 7.43% - 0s
Cutting planes:
Gomory: 7
Implied bound: 10
MIR: 2
Flow cover: 11
Explored 37 nodes (470 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.55186 1.44367
Optimal solution found (tolerance 1.00e-02)
Best objective 1.551860265970e+00, best bound 1.551860265970e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpettba2hr.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsd852jnj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39519
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.923989e+00, 192 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92399 0 18 1.39519 1.92399 37.9% - 0s
H 0 0 1.4124465 1.92399 36.2% - 0s
0 0 1.60576 0 25 1.41245 1.60576 13.7% - 0s
0 0 1.53802 0 20 1.41245 1.53802 8.89% - 0s
0 0 1.53779 0 20 1.41245 1.53779 8.87% - 0s
0 0 1.53716 0 20 1.41245 1.53716 8.83% - 0s
0 0 1.53647 0 20 1.41245 1.53647 8.78% - 0s
0 0 1.53647 0 20 1.41245 1.53647 8.78% - 0s
0 2 1.53647 0 20 1.41245 1.53647 8.78% - 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 14
Flow cover: 11
Explored 35 nodes (479 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.41245 1.39519
Optimal solution found (tolerance 1.00e-02)
Best objective 1.412446475335e+00, best bound 1.425793219041e+00, gap 0.9449%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0dxiuh6b.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuqdcl4gt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26351
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.893491e+00, 216 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89349 0 21 1.26351 1.89349 49.9% - 0s
H 0 0 1.4033852 1.89349 34.9% - 0s
0 0 1.58652 0 35 1.40339 1.58652 13.0% - 0s
0 0 1.58375 0 35 1.40339 1.58375 12.9% - 0s
0 0 1.52718 0 25 1.40339 1.52718 8.82% - 0s
0 0 1.52515 0 18 1.40339 1.52515 8.68% - 0s
0 0 1.52370 0 18 1.40339 1.52370 8.57% - 0s
0 0 1.52229 0 16 1.40339 1.52229 8.47% - 0s
0 0 1.52229 0 18 1.40339 1.52229 8.47% - 0s
0 0 1.52229 0 14 1.40339 1.52229 8.47% - 0s
0 2 1.52229 0 14 1.40339 1.52229 8.47% - 0s
Cutting planes:
Gomory: 9
Implied bound: 10
MIR: 2
Flow cover: 20
Explored 51 nodes (620 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.40339 1.26351
Optimal solution found (tolerance 1.00e-02)
Best objective 1.403385219176e+00, best bound 1.413551501036e+00, gap 0.7244%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl84x9j10.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppk8dspa8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24082
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.877183e+00, 238 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87718 0 24 1.24082 1.87718 51.3% - 0s
H 0 0 1.3810624 1.87718 35.9% - 0s
0 0 1.51995 0 21 1.38106 1.51995 10.1% - 0s
0 0 1.51769 0 18 1.38106 1.51769 9.89% - 0s
0 0 1.51763 0 18 1.38106 1.51763 9.89% - 0s
0 0 1.51656 0 18 1.38106 1.51656 9.81% - 0s
0 0 1.51656 0 16 1.38106 1.51656 9.81% - 0s
0 2 1.51656 0 16 1.38106 1.51656 9.81% - 0s
Cutting planes:
Gomory: 11
Implied bound: 12
MIR: 1
Flow cover: 12
Inf proof: 5
Explored 216 nodes (1615 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.38106 1.24082
Optimal solution found (tolerance 1.00e-02)
Best objective 1.381062403163e+00, best bound 1.381062403163e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg1et5ugl.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg741jklc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24973
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.816581e+00, 279 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81658 0 27 1.24973 1.81658 45.4% - 0s
H 0 0 1.3277192 1.81658 36.8% - 0s
0 0 1.47635 0 21 1.32772 1.47635 11.2% - 0s
0 0 1.47398 0 21 1.32772 1.47398 11.0% - 0s
0 0 1.47244 0 19 1.32772 1.47244 10.9% - 0s
0 0 1.47135 0 23 1.32772 1.47135 10.8% - 0s
0 0 1.47135 0 23 1.32772 1.47135 10.8% - 0s
0 2 1.47135 0 23 1.32772 1.47135 10.8% - 0s
Cutting planes:
Gomory: 12
Implied bound: 10
MIR: 2
Flow cover: 16
Inf proof: 6
Explored 229 nodes (1921 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32772 1.24973
Optimal solution found (tolerance 1.00e-02)
Best objective 1.327719226680e+00, best bound 1.328173165213e+00, gap 0.0342%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyrxgp1yg.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk8tcdeck.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18598
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.811931e+00, 304 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81193 0 31 1.18598 1.81193 52.8% - 0s
H 0 0 1.2137517 1.81193 49.3% - 0s
0 0 1.47837 0 25 1.21375 1.47837 21.8% - 0s
0 0 1.47648 0 25 1.21375 1.47648 21.6% - 0s
0 0 1.47648 0 23 1.21375 1.47648 21.6% - 0s
0 2 1.47648 0 23 1.21375 1.47648 21.6% - 0s
* 218 93 32 1.2163452 1.38133 13.6% 6.3 0s
* 1585 69 27 1.2992395 1.31960 1.57% 5.7 0s
Cutting planes:
Gomory: 14
Cover: 4
Implied bound: 18
Flow cover: 12
Inf proof: 21
Explored 1732 nodes (10407 simplex iterations) in 0.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.29924 1.21635 1.21375 1.18598
Optimal solution found (tolerance 1.00e-02)
Best objective 1.299239473322e+00, best bound 1.307351754897e+00, gap 0.6244%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwr98rbnd.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2rj82rzc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17466
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.798079e+00, 314 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79808 0 34 1.17466 1.79808 53.1% - 0s
0 0 1.46848 0 30 1.17466 1.46848 25.0% - 0s
0 0 1.46844 0 30 1.17466 1.46844 25.0% - 0s
0 0 1.45973 0 36 1.17466 1.45973 24.3% - 0s
0 0 1.45970 0 36 1.17466 1.45970 24.3% - 0s
0 0 1.45895 0 39 1.17466 1.45895 24.2% - 0s
0 0 1.45895 0 37 1.17466 1.45895 24.2% - 0s
0 2 1.45895 0 36 1.17466 1.45895 24.2% - 0s
* 2140 516 34 1.2234406 1.31569 7.54% 6.6 0s
* 2331 501 42 1.2765031 1.30101 1.92% 6.9 1s
Cutting planes:
Gomory: 25
Cover: 2
Implied bound: 7
Projected implied bound: 17
MIR: 4
Flow cover: 6
Inf proof: 3
Explored 2374 nodes (16726 simplex iterations) in 1.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.2765 1.22344 1.17466
Optimal solution found (tolerance 1.00e-02)
Best objective 1.276503062193e+00, best bound 1.289072926929e+00, gap 0.9847%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoiiwc3ce.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw0r9_ens.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17004
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.738440e+00, 362 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73844 0 35 1.17004 1.73844 48.6% - 0s
0 0 1.41455 0 32 1.17004 1.41455 20.9% - 0s
0 0 1.41224 0 31 1.17004 1.41224 20.7% - 0s
0 0 1.41134 0 31 1.17004 1.41134 20.6% - 0s
0 0 1.41134 0 31 1.17004 1.41134 20.6% - 0s
H 0 0 1.2045488 1.41134 17.2% - 0s
0 2 1.41134 0 31 1.20455 1.41134 17.2% - 0s
H 30 20 1.2157460 1.33194 9.56% 6.3 0s
* 995 229 38 1.2211218 1.28471 5.21% 6.0 0s
* 1451 29 32 1.2262875 1.24245 1.32% 7.1 0s
Cutting planes:
Gomory: 15
Cover: 4
Implied bound: 22
MIR: 3
Flow cover: 19
Inf proof: 19
Explored 1506 nodes (11089 simplex iterations) in 0.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.22629 1.22112 1.21575 ... 1.17004
Optimal solution found (tolerance 1.00e-02)
Best objective 1.226287475524e+00, best bound 1.237059343303e+00, gap 0.8784%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp63upacp9.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprat3n2y0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12052
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.718401e+00, 365 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71840 0 41 1.12052 1.71840 53.4% - 0s
0 0 1.39477 0 41 1.12052 1.39477 24.5% - 0s
0 0 1.39292 0 41 1.12052 1.39292 24.3% - 0s
0 0 1.38896 0 36 1.12052 1.38896 24.0% - 0s
0 0 1.38818 0 36 1.12052 1.38818 23.9% - 0s
0 0 1.38818 0 36 1.12052 1.38818 23.9% - 0s
0 2 1.38818 0 36 1.12052 1.38818 23.9% - 0s
* 1347 373 47 1.1712215 1.24487 6.29% 6.7 0s
* 1726 343 48 1.2001498 1.21111 0.91% 7.5 1s
Cutting planes:
Gomory: 40
Cover: 3
Implied bound: 3
Projected implied bound: 4
MIR: 6
Flow cover: 17
Inf proof: 3
Explored 1766 nodes (13738 simplex iterations) in 1.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.20015 1.17122 1.12052
Optimal solution found (tolerance 1.00e-02)
Best objective 1.200149808128e+00, best bound 1.206142380082e+00, gap 0.4993%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq31h38cz.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpct1meem5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11206
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.663228e+00, 384 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66323 0 46 1.11206 1.66323 49.6% - 0s
0 0 1.33712 0 40 1.11206 1.33712 20.2% - 0s
0 0 1.33712 0 40 1.11206 1.33712 20.2% - 0s
0 0 1.33475 0 42 1.11206 1.33475 20.0% - 0s
0 0 1.33475 0 42 1.11206 1.33475 20.0% - 0s
0 0 1.33396 0 46 1.11206 1.33396 20.0% - 0s
0 0 1.33396 0 45 1.11206 1.33396 20.0% - 0s
0 2 1.33396 0 44 1.11206 1.33396 20.0% - 0s
* 1701 481 51 1.1168281 1.18751 6.33% 8.4 0s
* 2137 420 48 1.1511669 1.18268 2.74% 8.4 1s
* 2941 100 46 1.1515967 1.16343 1.03% 8.0 1s
* 2942 92 46 1.1522939 1.16343 0.97% 8.0 1s
Cutting planes:
Gomory: 20
Cover: 23
Implied bound: 48
MIR: 5
Flow cover: 28
Inf proof: 39
Explored 2998 nodes (24447 simplex iterations) in 1.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.15229 1.1516 1.15117 ... 1.11206
Optimal solution found (tolerance 1.00e-02)
Best objective 1.152293929840e+00, best bound 1.161718080613e+00, gap 0.8179%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo3k0uzx3.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbj5d2bl8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05868
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.630834e+00, 436 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63083 0 46 1.05868 1.63083 54.0% - 0s
H 0 0 1.1132436 1.63083 46.5% - 0s
0 0 1.30103 0 42 1.11324 1.30103 16.9% - 0s
0 0 1.29936 0 42 1.11324 1.29936 16.7% - 0s
0 0 1.29515 0 46 1.11324 1.29515 16.3% - 0s
0 0 1.29510 0 43 1.11324 1.29510 16.3% - 0s
0 0 1.29416 0 51 1.11324 1.29416 16.3% - 0s
0 0 1.29416 0 49 1.11324 1.29416 16.3% - 0s
0 2 1.29416 0 49 1.11324 1.29416 16.3% - 0s
* 1414 263 47 1.1154408 1.14952 3.06% 8.1 0s
* 1482 232 45 1.1185539 1.14436 2.31% 8.0 0s
Cutting planes:
Gomory: 20
Cover: 16
Implied bound: 32
MIR: 3
Flow cover: 25
Inf proof: 29
Explored 1960 nodes (15059 simplex iterations) in 0.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.11855 1.11544 1.11324 1.05868
Optimal solution found (tolerance 1.00e-02)
Best objective 1.118553892500e+00, best bound 1.125444888282e+00, gap 0.6161%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0gcz27z5.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph3bt26tq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03821
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.575857e+00, 449 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57586 0 48 1.03821 1.57586 51.8% - 0s
0 0 1.24373 0 51 1.03821 1.24373 19.8% - 0s
0 0 1.24373 0 51 1.03821 1.24373 19.8% - 0s
0 0 1.24124 0 53 1.03821 1.24124 19.6% - 0s
0 0 1.24124 0 51 1.03821 1.24124 19.6% - 0s
0 2 1.24124 0 48 1.03821 1.24124 19.6% - 0s
* 497 259 61 1.0410888 1.14328 9.82% 6.9 0s
* 1115 399 72 1.0622264 1.11922 5.37% 10.5 1s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 7
Projected implied bound: 7
MIR: 6
Flow cover: 13
Inf proof: 8
Explored 1774 nodes (17993 simplex iterations) in 2.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.06223 1.04109 1.03821
Optimal solution found (tolerance 1.00e-02)
Best objective 1.062226396316e+00, best bound 1.072719745227e+00, gap 0.9879%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp00pmda71.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprjbq86in.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0539
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.522617e+00, 461 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52262 0 52 1.05390 1.52262 44.5% - 0s
0 0 1.23936 0 54 1.05390 1.23936 17.6% - 0s
0 0 1.23785 0 54 1.05390 1.23785 17.5% - 0s
0 0 1.23248 0 60 1.05390 1.23248 16.9% - 0s
0 0 1.23223 0 57 1.05390 1.23223 16.9% - 0s
0 0 1.23189 0 57 1.05390 1.23189 16.9% - 0s
0 0 1.23124 0 57 1.05390 1.23124 16.8% - 0s
0 0 1.23124 0 53 1.05390 1.23124 16.8% - 0s
0 2 1.23124 0 53 1.05390 1.23124 16.8% - 0s
* 1893 155 71 1.0541361 1.06615 1.14% 8.3 2s
* 1923 98 75 1.0573689 1.06530 0.75% 8.2 2s
Cutting planes:
Gomory: 53
Cover: 1
Implied bound: 6
Projected implied bound: 6
MIR: 3
Flow cover: 17
Inf proof: 10
Explored 1995 nodes (17340 simplex iterations) in 2.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.05737 1.05414 1.0539
Optimal solution found (tolerance 1.00e-02)
Best objective 1.057368858375e+00, best bound 1.064049836845e+00, gap 0.6318%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2fh249qq.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjp08mjex.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03017
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.469083e+00, 485 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46908 0 52 1.03017 1.46908 42.6% - 0s
0 0 1.21713 0 59 1.03017 1.21713 18.1% - 0s
0 0 1.21713 0 59 1.03017 1.21713 18.1% - 0s
0 0 1.20756 0 64 1.03017 1.20756 17.2% - 0s
0 0 1.20431 0 63 1.03017 1.20431 16.9% - 0s
0 0 1.20136 0 57 1.03017 1.20136 16.6% - 0s
0 0 1.19945 0 60 1.03017 1.19945 16.4% - 0s
0 0 1.19934 0 57 1.03017 1.19934 16.4% - 0s
0 0 1.19904 0 58 1.03017 1.19904 16.4% - 0s
0 0 1.19904 0 53 1.03017 1.19904 16.4% - 0s
0 2 1.19904 0 53 1.03017 1.19904 16.4% - 0s
Cutting planes:
Gomory: 25
Cover: 12
Implied bound: 28
MIR: 4
Flow cover: 46
Inf proof: 23
Explored 3567 nodes (30047 simplex iterations) in 1.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.03017
Optimal solution found (tolerance 1.00e-02)
Best objective 1.030165969757e+00, best bound 1.037555512095e+00, gap 0.7173%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9i05xnt1.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1_f2zfsg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03575
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.451918e+00, 525 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45192 0 56 1.03575 1.45192 40.2% - 0s
0 0 1.21355 0 59 1.03575 1.21355 17.2% - 0s
0 0 1.21355 0 59 1.03575 1.21355 17.2% - 0s
0 0 1.20562 0 64 1.03575 1.20562 16.4% - 0s
0 0 1.20189 0 64 1.03575 1.20189 16.0% - 0s
0 0 1.19836 0 59 1.03575 1.19836 15.7% - 0s
0 0 1.19830 0 59 1.03575 1.19830 15.7% - 0s
0 0 1.19755 0 62 1.03575 1.19755 15.6% - 0s
0 0 1.19743 0 59 1.03575 1.19743 15.6% - 0s
0 0 1.19698 0 57 1.03575 1.19698 15.6% - 0s
0 0 1.19698 0 56 1.03575 1.19698 15.6% - 0s
0 2 1.19698 0 55 1.03575 1.19698 15.6% - 0s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 6
Projected implied bound: 5
MIR: 2
Flow cover: 15
Inf proof: 11
Explored 1958 nodes (19201 simplex iterations) in 2.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.03575
Optimal solution found (tolerance 1.00e-02)
Best objective 1.035753603563e+00, best bound 1.038210196887e+00, gap 0.2372%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjk0g9oom.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfafmn_r4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03065
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.417448e+00, 537 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41745 0 60 1.03065 1.41745 37.5% - 0s
0 0 1.20431 0 66 1.03065 1.20431 16.8% - 0s
0 0 1.20298 0 66 1.03065 1.20298 16.7% - 0s
0 0 1.19067 0 72 1.03065 1.19067 15.5% - 0s
0 0 1.18584 0 72 1.03065 1.18584 15.1% - 0s
0 0 1.18205 0 70 1.03065 1.18205 14.7% - 0s
0 0 1.18204 0 70 1.03065 1.18204 14.7% - 0s
0 0 1.18117 0 82 1.03065 1.18117 14.6% - 0s
0 0 1.18075 0 72 1.03065 1.18075 14.6% - 0s
0 0 1.18074 0 72 1.03065 1.18074 14.6% - 0s
0 0 1.17990 0 72 1.03065 1.17990 14.5% - 0s
0 0 1.17988 0 74 1.03065 1.17988 14.5% - 0s
0 0 1.17988 0 65 1.03065 1.17988 14.5% - 0s
0 2 1.17988 0 64 1.03065 1.17988 14.5% - 0s
Cutting planes:
Gomory: 65
Cover: 6
Implied bound: 5
Projected implied bound: 8
Clique: 2
MIR: 5
Flow cover: 24
Inf proof: 23
Explored 3167 nodes (37898 simplex iterations) in 3.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.03065
Optimal solution found (tolerance 1.00e-02)
Best objective 1.030653415636e+00, best bound 1.039827821807e+00, gap 0.8902%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsezfjw98.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvlpx3eq8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.994136
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.362505e+00, 565 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36251 0 59 0.99414 1.36251 37.1% - 0s
0 0 1.15841 0 62 0.99414 1.15841 16.5% - 0s
0 0 1.15841 0 62 0.99414 1.15841 16.5% - 0s
0 0 1.15480 0 68 0.99414 1.15480 16.2% - 0s
0 0 1.15454 0 68 0.99414 1.15454 16.1% - 0s
0 0 1.15410 0 69 0.99414 1.15410 16.1% - 0s
0 0 1.15358 0 71 0.99414 1.15358 16.0% - 0s
0 0 1.15333 0 71 0.99414 1.15333 16.0% - 0s
0 0 1.15291 0 74 0.99414 1.15291 16.0% - 0s
0 0 1.15286 0 74 0.99414 1.15286 16.0% - 0s
0 0 1.15189 0 74 0.99414 1.15189 15.9% - 0s
0 0 1.15189 0 72 0.99414 1.15189 15.9% - 0s
0 1 1.15189 0 70 0.99414 1.15189 15.9% - 0s
Cutting planes:
Gomory: 55
Cover: 4
Implied bound: 15
Projected implied bound: 10
MIR: 6
Flow cover: 18
Inf proof: 12
Explored 2835 nodes (30032 simplex iterations) in 3.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.994136
Optimal solution found (tolerance 1.00e-02)
Best objective 9.941356767772e-01, best bound 9.971223639388e-01, gap 0.3004%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsy1bdff2.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp58jg50wy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.975493
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.335648e+00, 602 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33565 0 65 0.97549 1.33565 36.9% - 0s
0 0 1.28206 0 72 0.97549 1.28206 31.4% - 0s
0 0 1.26511 0 67 0.97549 1.26511 29.7% - 0s
0 0 1.26410 0 66 0.97549 1.26410 29.6% - 0s
0 0 1.26404 0 69 0.97549 1.26404 29.6% - 0s
0 0 1.26142 0 64 0.97549 1.26142 29.3% - 0s
0 0 1.26135 0 65 0.97549 1.26135 29.3% - 0s
0 0 1.26113 0 65 0.97549 1.26113 29.3% - 0s
0 0 1.26113 0 65 0.97549 1.26113 29.3% - 0s
0 0 1.26111 0 65 0.97549 1.26111 29.3% - 0s
0 0 1.26109 0 65 0.97549 1.26109 29.3% - 0s
0 0 1.26080 0 65 0.97549 1.26080 29.2% - 0s
0 0 1.26080 0 61 0.97549 1.26080 29.2% - 0s
0 2 1.26080 0 61 0.97549 1.26080 29.2% - 0s
* 3342 517 88 0.9774077 1.00354 2.67% 8.1 2s
Cutting planes:
Learned: 1
Gomory: 16
Implied bound: 2
MIR: 4
Flow cover: 2
Inf proof: 1
Explored 4990 nodes (40376 simplex iterations) in 3.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.977408 0.975493
Optimal solution found (tolerance 1.00e-02)
Best objective 9.774077192833e-01, best bound 9.857696257507e-01, gap 0.8555%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw58mnhxq.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqq5qisxc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.972432
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.315963e+00, 690 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31596 0 68 0.97243 1.31596 35.3% - 0s
0 0 1.26744 0 71 0.97243 1.26744 30.3% - 0s
0 0 1.25406 0 70 0.97243 1.25406 29.0% - 0s
0 0 1.25397 0 75 0.97243 1.25397 29.0% - 0s
0 0 1.25287 0 75 0.97243 1.25287 28.8% - 0s
0 0 1.25280 0 71 0.97243 1.25280 28.8% - 0s
0 0 1.25278 0 71 0.97243 1.25278 28.8% - 0s
0 0 1.25241 0 71 0.97243 1.25241 28.8% - 0s
0 0 1.25178 0 71 0.97243 1.25178 28.7% - 0s
0 0 1.25162 0 71 0.97243 1.25162 28.7% - 0s
0 0 1.25162 0 71 0.97243 1.25162 28.7% - 0s
0 0 1.25139 0 73 0.97243 1.25139 28.7% - 0s
0 0 1.25139 0 71 0.97243 1.25139 28.7% - 0s
0 0 1.25139 0 71 0.97243 1.25139 28.7% - 0s
0 2 1.25139 0 71 0.97243 1.25139 28.7% - 0s
* 208 137 98 0.9736030 1.10436 13.4% 9.0 0s
H 4947 407 0.9736030 0.98856 1.54% 8.5 3s
Cutting planes:
Learned: 1
Gomory: 14
Implied bound: 4
MIR: 5
Flow cover: 4
Inf proof: 1
Explored 5654 nodes (48139 simplex iterations) in 3.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.973603 0.973603 0.972432
Optimal solution found (tolerance 1.00e-02)
Best objective 9.736030245524e-01, best bound 9.800285395554e-01, gap 0.6600%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb2xv1s6b.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa0ckfakf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.96322
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.298953e+00, 650 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29895 0 69 0.96322 1.29895 34.9% - 0s
0 0 1.25065 0 71 0.96322 1.25065 29.8% - 0s
0 0 1.23832 0 70 0.96322 1.23832 28.6% - 0s
0 0 1.23711 0 74 0.96322 1.23711 28.4% - 0s
0 0 1.23706 0 77 0.96322 1.23706 28.4% - 0s
0 0 1.23551 0 72 0.96322 1.23551 28.3% - 0s
0 0 1.23551 0 72 0.96322 1.23551 28.3% - 0s
0 0 1.23551 0 70 0.96322 1.23551 28.3% - 0s
0 2 1.23551 0 70 0.96322 1.23551 28.3% - 0s
H 2605 382 0.9675865 1.01117 4.50% 15.2 4s
3164 380 0.96838 26 76 0.96759 1.00507 3.87% 15.8 5s
H 4567 438 0.9682024 0.99518 2.79% 15.2 6s
Cutting planes:
Gomory: 70
Cover: 2
Implied bound: 13
Projected implied bound: 33
MIR: 11
Flow cover: 27
Inf proof: 54
Explored 5684 nodes (85151 simplex iterations) in 7.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.968202 0.967586 0.96322
Optimal solution found (tolerance 1.00e-02)
Best objective 9.682024218098e-01, best bound 9.732752379757e-01, gap 0.5239%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbvbf1lt8.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa7k75lkz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.940534
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.254932e+00, 715 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25493 0 70 0.94053 1.25493 33.4% - 0s
0 0 1.20735 0 74 0.94053 1.20735 28.4% - 0s
0 0 1.19369 0 70 0.94053 1.19369 26.9% - 0s
0 0 1.19354 0 71 0.94053 1.19354 26.9% - 0s
0 0 1.19261 0 75 0.94053 1.19261 26.8% - 0s
0 0 1.19250 0 80 0.94053 1.19250 26.8% - 0s
0 0 1.19163 0 73 0.94053 1.19163 26.7% - 0s
0 0 1.19162 0 73 0.94053 1.19162 26.7% - 0s
0 0 1.19162 0 72 0.94053 1.19162 26.7% - 0s
0 2 1.19162 0 72 0.94053 1.19162 26.7% - 0s
H 1342 513 0.9405338 1.02341 8.81% 13.4 2s
3251 653 0.96902 24 79 0.94053 0.98719 4.96% 15.7 5s
7547 792 cutoff 37 0.94053 0.96141 2.22% 17.1 10s
Cutting planes:
Gomory: 74
Cover: 3
Implied bound: 24
Projected implied bound: 28
MIR: 6
Flow cover: 37
Inf proof: 84
Explored 8338 nodes (143893 simplex iterations) in 10.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.940534 0.940534
Optimal solution found (tolerance 1.00e-02)
Best objective 9.405338196823e-01, best bound 9.494173339252e-01, gap 0.9445%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph5_z06ee.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbmlo5v80.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.916204
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.219453e+00, 742 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21945 0 73 0.91620 1.21945 33.1% - 0s
0 0 1.17710 0 77 0.91620 1.17710 28.5% - 0s
0 0 1.16588 0 74 0.91620 1.16588 27.3% - 0s
0 0 1.16582 0 80 0.91620 1.16582 27.2% - 0s
0 0 1.16427 0 78 0.91620 1.16427 27.1% - 0s
0 0 1.16424 0 78 0.91620 1.16424 27.1% - 0s
0 0 1.16423 0 78 0.91620 1.16423 27.1% - 0s
0 0 1.16423 0 78 0.91620 1.16423 27.1% - 0s
0 0 1.16423 0 75 0.91620 1.16423 27.1% - 0s
0 2 1.16423 0 74 0.91620 1.16423 27.1% - 0s
H 1493 710 0.9162035 1.01826 11.1% 11.6 1s
H 2501 684 0.9162035 1.00294 9.47% 12.0 2s
6575 1079 cutoff 67 0.91620 0.95016 3.71% 10.4 5s
Cutting planes:
Gomory: 18
Cover: 1
Implied bound: 8
MIR: 2
Flow cover: 1
Explored 9553 nodes (101625 simplex iterations) in 7.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.916204 0.916204 0.916204
Optimal solution found (tolerance 1.00e-02)
Best objective 9.162035373545e-01, best bound 9.250651322260e-01, gap 0.9672%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwcgunxhi.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcvt4qv_d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.908089
Presolve removed 508 rows and 330 columns
Presolve time: 0.01s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.216598e+00, 730 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21660 0 74 0.90809 1.21660 34.0% - 0s
0 0 1.17912 0 81 0.90809 1.17912 29.8% - 0s
0 0 1.17912 0 81 0.90809 1.17912 29.8% - 0s
0 0 1.16863 0 79 0.90809 1.16863 28.7% - 0s
0 0 1.16863 0 79 0.90809 1.16863 28.7% - 0s
0 0 1.16821 0 80 0.90809 1.16821 28.6% - 0s
0 0 1.16811 0 83 0.90809 1.16811 28.6% - 0s
0 0 1.16745 0 78 0.90809 1.16745 28.6% - 0s
0 0 1.16745 0 78 0.90809 1.16745 28.6% - 0s
0 0 1.16745 0 78 0.90809 1.16745 28.6% - 0s
0 0 1.16745 0 78 0.90809 1.16745 28.6% - 0s
0 0 1.16745 0 72 0.90809 1.16745 28.6% - 0s
0 2 1.16745 0 72 0.90809 1.16745 28.6% - 0s
* 1218 515 133 0.9132685 1.03428 13.3% 11.6 1s
* 1224 490 132 0.9133421 1.03428 13.2% 11.5 1s
H 5632 1209 0.9137806 0.95055 4.02% 10.9 4s
5934 1274 0.93650 38 50 0.91378 0.95043 4.01% 10.6 5s
*11206 1564 119 0.9159357 0.93481 2.06% 10.0 8s
Cutting planes:
Learned: 1
Gomory: 16
Cover: 1
Implied bound: 7
MIR: 2
Flow cover: 2
Inf proof: 1
Explored 13357 nodes (133323 simplex iterations) in 9.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.915936 0.913781 0.913342 ... 0.908089
Optimal solution found (tolerance 1.00e-02)
Best objective 9.159356709827e-01, best bound 9.243428981692e-01, gap 0.9179%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpune1r_63.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxrz5mwoi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.915178
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.209223e+00, 775 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20922 0 77 0.91518 1.20922 32.1% - 0s
0 0 1.15850 0 81 0.91518 1.15850 26.6% - 0s
0 0 1.15850 0 81 0.91518 1.15850 26.6% - 0s
0 0 1.14977 0 83 0.91518 1.14977 25.6% - 0s
0 0 1.14894 0 85 0.91518 1.14894 25.5% - 0s
0 0 1.14555 0 88 0.91518 1.14555 25.2% - 0s
0 0 1.14553 0 89 0.91518 1.14553 25.2% - 0s
0 0 1.14542 0 88 0.91518 1.14542 25.2% - 0s
0 0 1.14536 0 88 0.91518 1.14536 25.2% - 0s
0 0 1.14536 0 86 0.91518 1.14536 25.2% - 0s
0 2 1.14536 0 86 0.91518 1.14536 25.2% - 0s
H 2394 457 0.9151775 0.97990 7.07% 18.9 4s
2654 508 0.95295 44 72 0.91518 0.97166 6.17% 19.2 5s
6729 1263 0.92052 60 49 0.91518 0.94570 3.33% 17.5 10s
Cutting planes:
Gomory: 73
Cover: 2
Implied bound: 19
Projected implied bound: 35
MIR: 5
Flow cover: 37
Inf proof: 73
Explored 10395 nodes (185740 simplex iterations) in 14.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.915178 0.915178
Optimal solution found (tolerance 1.00e-02)
Best objective 9.151775486589e-01, best bound 9.240683251196e-01, gap 0.9715%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp53ikwgpu.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4xk2tx0b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.905467
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.187285e+00, 823 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18729 0 77 0.90547 1.18729 31.1% - 0s
0 0 1.15282 0 78 0.90547 1.15282 27.3% - 0s
0 0 1.14408 0 78 0.90547 1.14408 26.4% - 0s
0 0 1.14326 0 80 0.90547 1.14326 26.3% - 0s
0 0 1.14326 0 77 0.90547 1.14326 26.3% - 0s
0 0 1.14306 0 79 0.90547 1.14306 26.2% - 0s
0 0 1.14306 0 79 0.90547 1.14306 26.2% - 0s
0 0 1.14304 0 79 0.90547 1.14304 26.2% - 0s
0 0 1.14294 0 79 0.90547 1.14294 26.2% - 0s
0 0 1.14294 0 75 0.90547 1.14294 26.2% - 0s
0 2 1.14294 0 74 0.90547 1.14294 26.2% - 0s
5823 1247 0.90898 55 69 0.90547 0.94139 3.97% 11.0 5s
12423 980 cutoff 61 0.90547 0.92463 2.12% 11.1 10s
Cutting planes:
Learned: 1
Gomory: 17
Implied bound: 5
MIR: 6
Inf proof: 1
Explored 13992 nodes (155833 simplex iterations) in 11.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.905467
Optimal solution found (tolerance 1.00e-02)
Best objective 9.054670419574e-01, best bound 9.135831900411e-01, gap 0.8963%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_d3sasu2.pyomo.lp
Reading time = 0.00 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmr4rxt5n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.901042
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.179022e+00, 852 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17902 0 82 0.90104 1.17902 30.9% - 0s
0 0 1.13131 0 89 0.90104 1.13131 25.6% - 0s
0 0 1.13129 0 89 0.90104 1.13129 25.6% - 0s
0 0 1.12471 0 88 0.90104 1.12471 24.8% - 0s
0 0 1.12460 0 88 0.90104 1.12460 24.8% - 0s
0 0 1.12384 0 88 0.90104 1.12384 24.7% - 0s
0 0 1.12382 0 88 0.90104 1.12382 24.7% - 0s
0 0 1.12382 0 91 0.90104 1.12382 24.7% - 0s
0 0 1.12382 0 91 0.90104 1.12382 24.7% - 0s
0 0 1.12382 0 87 0.90104 1.12382 24.7% - 0s
0 2 1.12382 0 87 0.90104 1.12382 24.7% - 0s
2517 477 cutoff 41 0.90104 0.95228 5.69% 17.4 5s
6522 1116 0.90612 74 52 0.90104 0.92963 3.17% 16.6 10s
Cutting planes:
Gomory: 68
Cover: 3
Implied bound: 17
Projected implied bound: 31
MIR: 14
Flow cover: 50
Inf proof: 79
Explored 10940 nodes (187956 simplex iterations) in 14.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.901042
Optimal solution found (tolerance 1.00e-02)
Best objective 9.010419246745e-01, best bound 9.096420128275e-01, gap 0.9545%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk5kzomdi.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1717qxjy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.88682
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.156620e+00, 919 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15662 0 88 0.88682 1.15662 30.4% - 0s
0 0 1.12398 0 86 0.88682 1.12398 26.7% - 0s
0 0 1.11658 0 84 0.88682 1.11658 25.9% - 0s
0 0 1.11646 0 84 0.88682 1.11646 25.9% - 0s
0 0 1.11627 0 86 0.88682 1.11627 25.9% - 0s
0 0 1.11627 0 86 0.88682 1.11627 25.9% - 0s
0 0 1.11626 0 86 0.88682 1.11626 25.9% - 0s
0 0 1.11626 0 84 0.88682 1.11626 25.9% - 0s
0 2 1.11626 0 84 0.88682 1.11626 25.9% - 0s
4154 1002 cutoff 32 0.88682 0.95638 7.84% 15.5 5s
10785 2268 0.90992 45 55 0.88682 0.91894 3.62% 12.8 10s
18054 3514 0.89865 89 42 0.88682 0.90977 2.59% 11.6 15s
22752 2495 cutoff 56 0.88682 0.90078 1.57% 11.8 20s
Cutting planes:
Learned: 1
Gomory: 18
Implied bound: 11
Flow cover: 7
Inf proof: 2
Explored 25191 nodes (296109 simplex iterations) in 22.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.88682
Optimal solution found (tolerance 1.00e-02)
Best objective 8.868202758225e-01, best bound 8.954174900696e-01, gap 0.9694%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcwcz40n5.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplf1zibo8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.885308
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.145128e+00, 962 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14513 0 93 0.88531 1.14513 29.3% - 0s
0 0 1.09767 0 100 0.88531 1.09767 24.0% - 0s
0 0 1.09654 0 100 0.88531 1.09654 23.9% - 0s
0 0 1.08964 0 101 0.88531 1.08964 23.1% - 0s
0 0 1.08939 0 99 0.88531 1.08939 23.1% - 0s
0 0 1.08822 0 105 0.88531 1.08822 22.9% - 0s
0 0 1.08822 0 105 0.88531 1.08822 22.9% - 0s
0 0 1.08751 0 102 0.88531 1.08751 22.8% - 0s
0 0 1.08729 0 103 0.88531 1.08729 22.8% - 0s
0 0 1.08679 0 102 0.88531 1.08679 22.8% - 0s
0 0 1.08673 0 103 0.88531 1.08673 22.8% - 0s
0 0 1.08668 0 98 0.88531 1.08668 22.7% - 0s
0 0 1.08668 0 98 0.88531 1.08668 22.7% - 0s
0 0 1.08668 0 93 0.88531 1.08668 22.7% - 0s
0 2 1.08668 0 93 0.88531 1.08668 22.7% - 0s
2009 549 0.93064 33 109 0.88531 0.95635 8.02% 19.5 5s
5125 952 cutoff 39 0.88531 0.92115 4.05% 21.9 10s
8827 1370 0.88736 56 85 0.88531 0.91170 2.98% 21.6 15s
Cutting planes:
Gomory: 91
Cover: 4
Implied bound: 32
Projected implied bound: 34
MIR: 11
Flow cover: 49
Inf proof: 103
Explored 11797 nodes (267724 simplex iterations) in 19.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.885308
Optimal solution found (tolerance 1.00e-02)
Best objective 8.853077465865e-01, best bound 8.939696354354e-01, gap 0.9784%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdaqig083.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppqsrvubn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.881666
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.132827e+00, 933 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13283 0 95 0.88167 1.13283 28.5% - 0s
0 0 1.10021 0 94 0.88167 1.10021 24.8% - 0s
0 0 1.09267 0 91 0.88167 1.09267 23.9% - 0s
0 0 1.09255 0 92 0.88167 1.09255 23.9% - 0s
0 0 1.09204 0 94 0.88167 1.09204 23.9% - 0s
0 0 1.09204 0 94 0.88167 1.09204 23.9% - 0s
0 0 1.09203 0 94 0.88167 1.09203 23.9% - 0s
0 0 1.09186 0 94 0.88167 1.09186 23.8% - 0s
0 0 1.09174 0 94 0.88167 1.09174 23.8% - 0s
0 0 1.09174 0 94 0.88167 1.09174 23.8% - 0s
0 0 1.09174 0 91 0.88167 1.09174 23.8% - 0s
0 2 1.09174 0 91 0.88167 1.09174 23.8% - 0s
3024 730 0.95157 35 82 0.88167 0.96592 9.56% 19.2 5s
H 3373 793 0.8816661 0.96048 8.94% 19.2 5s
6890 1092 0.88838 58 59 0.88167 0.92152 4.52% 18.4 10s
15782 3650 cutoff 50 0.88167 0.90841 3.03% 13.2 15s
20741 4270 0.89125 62 91 0.88167 0.90526 2.68% 12.6 28s
20752 4277 0.88995 72 145 0.88167 0.90526 2.68% 12.6 30s
20769 4290 0.90526 25 113 0.88167 0.90526 2.68% 12.7 35s
21433 4359 0.90526 34 102 0.88167 0.90526 2.68% 13.4 40s
23435 4282 cutoff 36 0.88167 0.90526 2.68% 15.1 45s
25362 3879 cutoff 56 0.88167 0.90526 2.68% 16.8 50s
27710 3705 cutoff 73 0.88167 0.90526 2.68% 17.5 55s
30903 3271 cutoff 75 0.88167 0.90526 2.68% 18.3 60s
34185 2998 0.89724 75 61 0.88167 0.90526 2.68% 18.6 65s
38032 3762 cutoff 41 0.88167 0.90198 2.30% 18.7 70s
41928 4184 0.88787 89 46 0.88167 0.89973 2.05% 18.6 75s
45458 4302 cutoff 94 0.88167 0.89814 1.87% 18.7 80s
49103 3854 cutoff 86 0.88167 0.89604 1.63% 18.8 85s
52066 3250 0.88480 76 56 0.88167 0.89386 1.38% 18.9 90s
54484 2514 cutoff 73 0.88167 0.89153 1.12% 18.9 95s
Cutting planes:
Learned: 1
Gomory: 139
Cover: 1
Implied bound: 16
Projected implied bound: 43
MIR: 14
Flow cover: 64
Explored 55360 nodes (1044858 simplex iterations) in 96.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.881666 0.881666
Optimal solution found (tolerance 1.00e-02)
Best objective 8.816661040779e-01, best bound 8.902000824142e-01, gap 0.9679%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2pbpq36t.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzjuijyx8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.876441
Presolve removed 606 rows and 393 columns
Presolve time: 0.04s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.116640e+00, 980 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11664 0 96 0.87644 1.11664 27.4% - 0s
0 0 1.08600 0 94 0.87644 1.08600 23.9% - 0s
0 0 1.08001 0 98 0.87644 1.08001 23.2% - 0s
0 0 1.08000 0 98 0.87644 1.08000 23.2% - 0s
0 0 1.07929 0 103 0.87644 1.07929 23.1% - 0s
0 0 1.07915 0 103 0.87644 1.07915 23.1% - 0s
0 0 1.07915 0 96 0.87644 1.07915 23.1% - 0s
0 2 1.07915 0 96 0.87644 1.07915 23.1% - 0s
3325 824 0.87675 47 78 0.87644 0.93736 6.95% 15.4 5s
9920 1947 infeasible 59 0.87644 0.90434 3.18% 12.6 10s
14315 1167 cutoff 78 0.87644 0.88924 1.46% 12.7 15s
Cutting planes:
Learned: 1
Gomory: 24
Implied bound: 7
MIR: 2
Flow cover: 3
Inf proof: 3
Explored 15259 nodes (192364 simplex iterations) in 15.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.876441
Optimal solution found (tolerance 1.00e-02)
Best objective 8.764411649178e-01, best bound 8.851000208139e-01, gap 0.9880%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplxyrjkf1.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphhe2rl_t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870255
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.100880e+00, 983 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10088 0 98 0.87026 1.10088 26.5% - 0s
0 0 1.07336 0 95 0.87026 1.07336 23.3% - 0s
0 0 1.07336 0 95 0.87026 1.07336 23.3% - 0s
0 0 1.06743 0 97 0.87026 1.06743 22.7% - 0s
0 0 1.06733 0 98 0.87026 1.06733 22.6% - 0s
0 0 1.06710 0 101 0.87026 1.06710 22.6% - 0s
0 0 1.06710 0 100 0.87026 1.06710 22.6% - 0s
0 0 1.06709 0 100 0.87026 1.06709 22.6% - 0s
0 0 1.06709 0 94 0.87026 1.06709 22.6% - 0s
0 2 1.06709 0 93 0.87026 1.06709 22.6% - 0s
1587 599 0.94313 30 96 0.87026 0.95504 9.74% 19.9 5s
4270 975 cutoff 35 0.87026 0.92147 5.88% 23.5 10s
6870 1216 cutoff 36 0.87026 0.90724 4.25% 24.7 15s
9995 1679 infeasible 42 0.87026 0.89746 3.13% 23.9 20s
13042 2175 0.88025 73 83 0.87026 0.89281 2.59% 22.8 25s
16152 1800 infeasible 51 0.87026 0.88626 1.84% 23.0 30s
Cutting planes:
Gomory: 89
Cover: 3
Implied bound: 28
Projected implied bound: 25
MIR: 11
Flow cover: 45
Inf proof: 160
Explored 18651 nodes (424406 simplex iterations) in 34.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.870255
Optimal solution found (tolerance 1.00e-02)
Best objective 8.702554252116e-01, best bound 8.784270860056e-01, gap 0.9390%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphwpdl7qx.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo1qebagn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.855743
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.081733e+00, 954 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08173 0 100 0.85574 1.08173 26.4% - 0s
0 0 1.05518 0 100 0.85574 1.05518 23.3% - 0s
0 0 1.04794 0 101 0.85574 1.04794 22.5% - 0s
0 0 1.04793 0 100 0.85574 1.04793 22.5% - 0s
0 0 1.04763 0 102 0.85574 1.04763 22.4% - 0s
0 0 1.04763 0 102 0.85574 1.04763 22.4% - 0s
0 0 1.04763 0 102 0.85574 1.04763 22.4% - 0s
0 0 1.04746 0 102 0.85574 1.04746 22.4% - 0s
0 0 1.04736 0 102 0.85574 1.04736 22.4% - 0s
0 0 1.04735 0 102 0.85574 1.04735 22.4% - 0s
0 0 1.04735 0 97 0.85574 1.04735 22.4% - 0s
0 2 1.04735 0 97 0.85574 1.04735 22.4% - 0s
3386 1118 0.87691 44 81 0.85574 0.92394 7.97% 14.5 5s
H 4541 1415 0.8557428 0.91734 7.20% 14.9 6s
7101 1781 cutoff 37 0.85574 0.90478 5.73% 15.2 10s
11200 2586 cutoff 49 0.85574 0.89328 4.39% 14.4 15s
18066 4613 cutoff 75 0.85574 0.88441 3.35% 12.8 20s
H20913 4698 0.8557429 0.88180 3.04% 13.1 34s
20917 4701 0.87673 44 121 0.85574 0.88180 3.04% 13.1 35s
20939 4716 0.85909 91 164 0.85574 0.88180 3.04% 13.0 40s
20954 4729 0.88180 22 159 0.85574 0.88180 3.04% 13.2 45s
21160 4770 0.88180 29 121 0.85574 0.88180 3.04% 13.5 50s
22748 4833 0.88180 35 137 0.85574 0.88180 3.04% 14.8 55s
24357 4724 cutoff 43 0.85574 0.88180 3.04% 16.0 60s
26584 4389 0.88180 44 122 0.85574 0.88180 3.04% 17.4 65s
27712 4220 cutoff 48 0.85574 0.88180 3.04% 18.1 70s
29637 3779 0.88180 47 107 0.85574 0.88180 3.04% 19.2 75s
31642 3403 0.86070 60 87 0.85574 0.88180 3.04% 20.2 80s
33908 2980 0.87528 52 123 0.85574 0.88180 3.04% 21.0 85s
35946 2703 0.85581 93 73 0.85574 0.88180 3.04% 21.6 90s
38243 2731 0.88165 49 118 0.85574 0.88180 3.04% 22.1 95s
40624 2792 0.88042 50 89 0.85574 0.88180 3.04% 22.5 100s
43022 2669 0.87450 53 117 0.85574 0.88080 2.93% 23.0 105s
45474 2521 cutoff 57 0.85574 0.87779 2.58% 23.3 110s
47660 2161 cutoff 53 0.85574 0.87353 2.08% 23.6 115s
50293 2094 0.86529 76 86 0.85574 0.86906 1.56% 23.4 120s
53622 2662 infeasible 108 0.85574 0.86704 1.32% 22.9 125s
58674 3426 0.86303 77 66 0.85574 0.86463 1.04% 22.1 130s
Cutting planes:
Gomory: 97
Cover: 2
Implied bound: 17
Projected implied bound: 25
MIR: 20
Flow cover: 60
Explored 59645 nodes (1307853 simplex iterations) in 131.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.855743 0.855743 0.855743
Optimal solution found (tolerance 1.00e-02)
Best objective 8.557428365575e-01, best bound 8.641381301701e-01, gap 0.9811%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp075q1rfx.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnjnxv59m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.837804
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.055647e+00, 1001 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05565 0 101 0.83780 1.05565 26.0% - 0s
0 0 1.02990 0 103 0.83780 1.02990 22.9% - 0s
0 0 1.02911 0 103 0.83780 1.02911 22.8% - 0s
0 0 1.02319 0 99 0.83780 1.02319 22.1% - 0s
0 0 1.02246 0 104 0.83780 1.02246 22.0% - 0s
0 0 1.02207 0 101 0.83780 1.02207 22.0% - 0s
0 0 1.02205 0 103 0.83780 1.02205 22.0% - 0s
0 0 1.02205 0 103 0.83780 1.02205 22.0% - 0s
0 0 1.02193 0 104 0.83780 1.02193 22.0% - 0s
0 0 1.02181 0 103 0.83780 1.02181 22.0% - 0s
0 0 1.02181 0 104 0.83780 1.02181 22.0% - 0s
0 0 1.02180 0 104 0.83780 1.02180 22.0% - 0s
0 0 1.02180 0 100 0.83780 1.02180 22.0% - 0s
0 2 1.02180 0 99 0.83780 1.02180 22.0% - 0s
1282 600 cutoff 29 0.83780 0.93966 12.2% 24.4 5s
3188 876 0.87410 31 112 0.83780 0.90472 7.99% 30.7 10s
5260 1154 0.85692 36 110 0.83780 0.88949 6.17% 31.9 15s
7668 1433 0.84527 43 104 0.83780 0.87692 4.67% 31.9 20s
10872 1801 0.85254 38 89 0.83780 0.86875 3.69% 30.6 25s
13286 1996 0.85279 50 97 0.83780 0.86402 3.13% 30.1 30s
16290 2105 cutoff 67 0.83780 0.85899 2.53% 29.6 35s
18872 1730 0.84618 53 79 0.83780 0.85256 1.76% 29.7 40s
Cutting planes:
Gomory: 98
Cover: 5
Implied bound: 45
Projected implied bound: 39
Clique: 1
MIR: 17
Flow cover: 58
Inf proof: 131
Explored 20804 nodes (614988 simplex iterations) in 43.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.837804
Optimal solution found (tolerance 1.00e-02)
Best objective 8.378040116397e-01, best bound 8.460889797955e-01, gap 0.9889%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp48hxnyqp.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphotsplhl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.830552
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.045554e+00, 1036 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04555 0 105 0.83055 1.04555 25.9% - 0s
0 0 1.01953 0 103 0.83055 1.01953 22.8% - 0s
0 0 1.01861 0 106 0.83055 1.01861 22.6% - 0s
0 0 1.01266 0 107 0.83055 1.01266 21.9% - 0s
0 0 1.01266 0 107 0.83055 1.01266 21.9% - 0s
0 0 1.01215 0 106 0.83055 1.01215 21.9% - 0s
0 0 1.01215 0 106 0.83055 1.01215 21.9% - 0s
0 0 1.01214 0 106 0.83055 1.01214 21.9% - 0s
0 0 1.01200 0 106 0.83055 1.01200 21.8% - 0s
0 0 1.01191 0 106 0.83055 1.01191 21.8% - 0s
0 0 1.01190 0 106 0.83055 1.01190 21.8% - 0s
0 0 1.01190 0 101 0.83055 1.01190 21.8% - 0s
0 2 1.01190 0 99 0.83055 1.01190 21.8% - 0s
1319 640 infeasible 23 0.83055 0.92370 11.2% 20.2 5s
3646 994 0.87463 45 77 0.83055 0.88712 6.81% 24.7 10s
5819 1427 0.84721 39 106 0.83055 0.87674 5.56% 25.9 15s
7652 1712 0.84563 48 103 0.83055 0.87217 5.01% 26.9 20s
10147 2133 0.84234 39 115 0.83055 0.86862 4.58% 27.0 25s
12647 2637 cutoff 58 0.83055 0.86452 4.09% 26.7 30s
H13006 2698 0.8305523 0.86395 4.02% 26.7 31s
13795 2691 0.85347 47 110 0.83055 0.86292 3.90% 27.1 35s
16199 2861 0.83887 60 99 0.83055 0.85928 3.46% 27.4 40s
19116 3008 0.83664 95 56 0.83055 0.85587 3.05% 27.4 45s
21598 2962 0.83479 77 83 0.83055 0.85218 2.60% 27.4 50s
22400 2980 infeasible 115 0.83055 0.85089 2.45% 27.4 63s
23184 2939 cutoff 68 0.83055 0.84962 2.30% 27.3 65s
25214 2753 cutoff 51 0.83055 0.84669 1.94% 27.8 70s
27095 2353 infeasible 70 0.83055 0.84233 1.42% 28.5 75s
Cutting planes:
Gomory: 120
Cover: 3
Implied bound: 34
Projected implied bound: 52
Clique: 2
MIR: 25
Flow cover: 85
Inf proof: 175
Explored 29478 nodes (837920 simplex iterations) in 80.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.830552 0.830552
Optimal solution found (tolerance 1.00e-02)
Best objective 8.305523158371e-01, best bound 8.385629516193e-01, gap 0.9645%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmkl2_gwd.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc1hfkul3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.826183
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.036234e+00, 1106 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03623 0 108 0.82618 1.03623 25.4% - 0s
0 0 1.01189 0 112 0.82618 1.01189 22.5% - 0s
0 0 1.01101 0 112 0.82618 1.01101 22.4% - 0s
0 0 1.00613 0 114 0.82618 1.00613 21.8% - 0s
0 0 1.00612 0 113 0.82618 1.00612 21.8% - 0s
0 0 1.00570 0 120 0.82618 1.00570 21.7% - 0s
0 0 1.00570 0 116 0.82618 1.00570 21.7% - 0s
0 0 1.00569 0 114 0.82618 1.00569 21.7% - 0s
0 0 1.00569 0 114 0.82618 1.00569 21.7% - 0s
0 0 1.00509 0 114 0.82618 1.00509 21.7% - 0s
0 0 1.00508 0 114 0.82618 1.00508 21.7% - 0s
0 0 1.00506 0 112 0.82618 1.00506 21.7% - 0s
0 0 1.00506 0 104 0.82618 1.00506 21.7% - 0s
0 2 1.00506 0 104 0.82618 1.00506 21.7% - 0s
1321 595 infeasible 30 0.82618 0.93226 12.8% 23.0 5s
3195 913 0.87070 32 107 0.82618 0.89488 8.32% 27.4 10s
H 5425 1146 0.8261832 0.87814 6.29% 30.9 14s
5426 1126 0.83789 38 96 0.82618 0.87811 6.28% 30.9 15s
H 6323 1173 0.8261832 0.87214 5.56% 31.7 16s
7696 1356 cutoff 31 0.82618 0.86589 4.81% 32.2 20s
9981 1539 0.85992 50 85 0.82618 0.85992 4.08% 32.8 25s
13128 2018 0.82865 43 102 0.82618 0.85396 3.36% 31.5 30s
16065 1988 0.84113 49 101 0.82618 0.84685 2.50% 31.4 35s
18958 2103 0.83900 72 74 0.82618 0.83900 1.55% 30.5 40s
21749 2373 cutoff 70 0.82618 0.83568 1.15% 28.8 45s
Cutting planes:
Gomory: 101
Cover: 4
Implied bound: 39
Projected implied bound: 41
MIR: 13
Flow cover: 48
Inf proof: 150
Explored 24419 nodes (662725 simplex iterations) in 47.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.826183 0.826183 0.826183
Optimal solution found (tolerance 1.00e-02)
Best objective 8.261832323460e-01, best bound 8.344300082906e-01, gap 0.9982%
Run 1
Seed for training 87
Seed for simulation 522
direc: array([[ -2.02120952, 1.16537629, 1.16537629],
[ 0. , 1. , 0. ],
[ 10.0717755 , -16.95391478, 42.21164278]])
fopt: 0.6008517905396771
fun: -0.6005570692012873
message: 'Optimization terminated successfully.'
nfev: 477
nit: 7
status: 0
success: True
x: array([ 77.91296495, 113.00000479, 182. ])
xopt: array([ 78., 113., 183.])
zopt: array([ 78., 191., 374.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbizpxi9d.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc677rw2o.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.600852
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.800316e-01, 1132 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98003 0 117 0.60085 0.98003 63.1% - 0s
0 0 0.94651 0 110 0.60085 0.94651 57.5% - 0s
0 0 0.94204 0 126 0.60085 0.94204 56.8% - 0s
0 0 0.94131 0 126 0.60085 0.94131 56.7% - 0s
0 0 0.93835 0 130 0.60085 0.93835 56.2% - 0s
0 0 0.93676 0 131 0.60085 0.93676 55.9% - 0s
0 0 0.93578 0 126 0.60085 0.93578 55.7% - 0s
0 0 0.93578 0 126 0.60085 0.93578 55.7% - 0s
0 0 0.93578 0 126 0.60085 0.93578 55.7% - 0s
0 0 0.93574 0 124 0.60085 0.93574 55.7% - 0s
0 0 0.93574 0 118 0.60085 0.93574 55.7% - 0s
0 2 0.93574 0 118 0.60085 0.93574 55.7% - 0s
1409 763 0.83760 20 118 0.60085 0.85431 42.2% 20.8 5s
* 1886 831 177 0.6030704 0.83389 38.3% 21.0 6s
H 3322 1335 0.6043537 0.80000 32.4% 23.3 9s
3331 1338 cutoff 31 0.60435 0.80000 32.4% 23.4 10s
* 4671 1897 182 0.6082837 0.78198 28.6% 23.0 12s
5953 2397 0.74963 29 123 0.60828 0.76964 26.5% 23.5 15s
7607 2994 0.64979 35 115 0.60828 0.76132 25.2% 23.9 20s
9583 3477 0.63892 46 117 0.60828 0.75473 24.1% 25.3 25s
11694 3963 infeasible 48 0.60828 0.74871 23.1% 26.1 30s
13786 4408 cutoff 41 0.60828 0.74290 22.1% 26.4 35s
15955 4869 cutoff 42 0.60828 0.73797 21.3% 26.8 40s
H17438 4794 0.6194001 0.73516 18.7% 27.0 44s
H17442 4302 0.6294705 0.73516 16.8% 27.0 46s
18780 4435 0.68711 31 127 0.62947 0.73159 16.2% 27.2 50s
20477 4713 cutoff 42 0.62947 0.72809 15.7% 27.4 55s
20834 4802 0.65415 44 118 0.62947 0.72747 15.6% 27.4 70s
20846 4810 0.63247 79 180 0.62947 0.72747 15.6% 27.3 75s
20856 4817 0.69760 48 201 0.62947 0.72747 15.6% 27.3 80s
20863 4821 0.63501 42 196 0.62947 0.72747 15.6% 27.3 85s
20867 4824 0.62977 48 224 0.62947 0.72747 15.6% 27.3 90s
20872 4827 0.72338 40 225 0.62947 0.72747 15.6% 27.3 95s
20877 4831 0.69794 36 223 0.62947 0.72747 15.6% 27.3 100s
20883 4835 0.67351 51 241 0.62947 0.72747 15.6% 27.3 105s
20889 4839 0.64233 54 228 0.62947 0.72747 15.6% 27.3 110s
20894 4842 0.65667 42 232 0.62947 0.72747 15.6% 27.3 115s
20899 4845 0.70427 39 214 0.62947 0.72747 15.6% 27.3 120s
20904 4849 0.71340 33 234 0.62947 0.72747 15.6% 27.3 125s
20910 4853 0.63872 69 206 0.62947 0.72747 15.6% 27.3 130s
20915 4856 0.67258 35 219 0.62947 0.72747 15.6% 27.2 135s
20920 4859 0.66587 34 201 0.62947 0.72747 15.6% 27.2 140s
20926 4863 0.68975 39 209 0.62947 0.72747 15.6% 27.2 146s
20930 4866 0.64312 46 213 0.62947 0.72747 15.6% 27.2 150s
20935 4869 0.63911 75 222 0.62947 0.72747 15.6% 27.2 155s
H20937 4625 0.6294705 0.72747 15.6% 27.2 158s
20940 4627 0.72260 34 223 0.62947 0.72747 15.6% 27.2 160s
20944 4629 0.67014 39 213 0.62947 0.72747 15.6% 27.2 165s
20949 4633 0.65020 60 227 0.62947 0.72747 15.6% 27.2 170s
20954 4636 0.68974 47 227 0.62947 0.72747 15.6% 27.2 175s
20960 4640 0.69129 46 228 0.62947 0.72747 15.6% 27.2 181s
20964 4643 0.68787 34 227 0.62947 0.72747 15.6% 27.2 185s
20967 4648 0.72747 24 212 0.62947 0.72747 15.6% 28.6 191s
20969 4648 0.72747 25 219 0.62947 0.72747 15.6% 28.6 195s
H21033 4441 0.6398622 0.72747 13.7% 28.8 200s
H21034 4217 0.6403190 0.72747 13.6% 28.8 200s
21341 4259 0.71973 33 188 0.64032 0.72747 13.6% 29.6 205s
21835 4334 0.64641 66 152 0.64032 0.72747 13.6% 31.2 210s
22237 4347 0.68516 49 164 0.64032 0.72747 13.6% 32.8 215s
22465 4338 0.71364 44 182 0.64032 0.72747 13.6% 33.9 220s
22981 4376 infeasible 36 0.64032 0.72747 13.6% 35.8 225s
23449 4368 0.69094 45 179 0.64032 0.72747 13.6% 37.7 230s
23865 4360 0.65210 38 184 0.64032 0.72747 13.6% 39.1 235s
24150 4321 cutoff 50 0.64032 0.72747 13.6% 40.6 240s
24701 4289 0.70305 39 180 0.64032 0.72747 13.6% 42.5 246s
25097 4338 infeasible 50 0.64032 0.72747 13.6% 43.5 250s
25654 4407 cutoff 33 0.64032 0.72747 13.6% 45.0 256s
H25728 4207 0.6403190 0.72747 13.6% 45.4 256s
25982 4210 0.68616 35 197 0.64032 0.72747 13.6% 46.0 260s
26026 4206 0.67851 36 188 0.64032 0.72747 13.6% 46.2 265s
26488 4175 0.70995 48 162 0.64032 0.72672 13.5% 47.7 271s
26963 4184 0.65398 70 136 0.64032 0.72479 13.2% 49.1 276s
27464 4170 0.65725 34 204 0.64032 0.72329 13.0% 50.4 282s
27697 4141 0.66662 41 186 0.64032 0.72243 12.8% 51.2 285s
28277 4129 0.68139 49 160 0.64032 0.72057 12.5% 52.7 291s
28887 4157 0.70449 45 177 0.64032 0.71885 12.3% 54.2 297s
29169 4159 0.66687 41 181 0.64032 0.71865 12.2% 55.0 300s
29594 4081 cutoff 42 0.64032 0.71683 11.9% 56.5 308s
29857 4042 0.65523 45 170 0.64032 0.71597 11.8% 57.5 311s
30170 4024 0.68508 51 155 0.64032 0.71512 11.7% 58.3 316s
30519 4008 cutoff 45 0.64032 0.71462 11.6% 59.1 320s
31211 3885 0.68818 51 156 0.64032 0.71275 11.3% 61.1 328s
31571 3831 0.66106 34 192 0.64032 0.71144 11.1% 62.2 333s
31959 3759 0.67893 50 169 0.64032 0.71026 10.9% 63.1 337s
32360 3728 0.65189 53 155 0.64032 0.70907 10.7% 64.0 347s
32487 3687 0.69533 46 170 0.64032 0.70872 10.7% 64.4 352s
32886 3648 cutoff 67 0.64032 0.70794 10.6% 65.3 356s
33255 3700 0.67753 33 218 0.64032 0.70688 10.4% 66.3 361s
33659 3775 0.67777 38 194 0.64032 0.70630 10.3% 67.0 366s
33980 3806 cutoff 45 0.64032 0.70520 10.1% 68.0 370s
34344 3855 cutoff 40 0.64032 0.70426 10.0% 68.9 375s
34798 3939 0.65187 48 169 0.64032 0.70383 9.92% 69.6 380s
35571 4082 cutoff 53 0.64032 0.70267 9.74% 71.2 388s
35876 4107 cutoff 39 0.64032 0.70195 9.63% 71.8 393s
36270 4188 cutoff 39 0.64032 0.70117 9.50% 72.5 397s
36666 4222 cutoff 40 0.64032 0.70040 9.38% 73.3 401s
37037 4257 cutoff 40 0.64032 0.69948 9.24% 74.2 406s
37473 4330 cutoff 51 0.64032 0.69844 9.08% 74.9 410s
37873 4366 cutoff 44 0.64032 0.69751 8.93% 75.6 415s
H38569 4472 0.6408390 0.69636 8.66% 77.1 426s
H38598 4444 0.6419285 0.69636 8.48% 77.2 426s
H38642 4425 0.6424154 0.69636 8.40% 77.3 426s
38666 4372 0.67426 62 149 0.64242 0.69626 8.38% 77.4 431s
39092 4450 0.68047 44 173 0.64242 0.69548 8.26% 78.1 435s
39505 4489 0.64888 45 186 0.64242 0.69471 8.14% 78.8 440s
39873 4521 0.67964 45 189 0.64242 0.69403 8.03% 79.6 445s
40683 4599 0.65174 51 164 0.64242 0.69393 8.02% 80.9 454s
41218 4729 cutoff 42 0.64242 0.69385 8.01% 81.2 459s
41753 4873 cutoff 37 0.64242 0.69226 7.76% 81.5 464s
42382 5086 0.68979 61 147 0.64242 0.69072 7.52% 81.6 470s
*42744 5040 164 0.6440549 0.69060 7.23% 81.7 470s
43542 5326 0.65285 56 149 0.64405 0.68952 7.06% 81.9 478s
43934 5405 cutoff 61 0.64405 0.68892 6.97% 82.5 485s
44499 5466 cutoff 44 0.64405 0.68823 6.86% 82.9 494s
45005 5583 0.67063 68 128 0.64405 0.68822 6.86% 83.1 498s
45573 5730 0.64551 69 122 0.64405 0.68764 6.77% 83.2 503s
46322 6013 0.66641 87 106 0.64405 0.68686 6.65% 83.0 507s
47092 6245 cutoff 48 0.64405 0.68646 6.58% 82.7 511s
47504 6314 0.65319 38 200 0.64405 0.68623 6.55% 82.9 515s
48664 6669 cutoff 74 0.64405 0.68521 6.39% 82.9 523s
49142 6753 cutoff 42 0.64405 0.68490 6.34% 83.0 527s
49714 6877 infeasible 103 0.64405 0.68467 6.31% 83.0 531s
50244 6992 cutoff 62 0.64405 0.68416 6.23% 83.0 535s
51206 7211 0.66314 60 153 0.64405 0.68349 6.12% 83.1 542s
51703 7328 0.67433 85 122 0.64405 0.68324 6.08% 83.1 546s
52075 7414 0.65121 47 179 0.64405 0.68308 6.06% 83.3 550s
52965 7595 cutoff 54 0.64405 0.68264 5.99% 83.5 558s
53471 7707 0.65509 43 185 0.64405 0.68259 5.98% 83.5 561s
53901 7789 cutoff 57 0.64405 0.68218 5.92% 83.6 565s
54746 8010 0.65109 74 128 0.64405 0.68171 5.85% 83.8 572s
55206 8057 cutoff 51 0.64405 0.68141 5.80% 83.9 576s
56097 8215 0.64649 55 156 0.64405 0.68100 5.74% 84.1 583s
56569 8320 0.66374 71 128 0.64405 0.68078 5.70% 84.1 587s
57116 8459 cutoff 43 0.64405 0.68060 5.67% 84.0 591s
58178 8618 infeasible 41 0.64405 0.68025 5.62% 83.8 598s
58638 8713 0.66321 57 155 0.64405 0.67997 5.58% 83.9 600s
Cutting planes:
Gomory: 193
Cover: 8
Implied bound: 97
Projected implied bound: 55
Clique: 2
MIR: 229
Flow cover: 664
Inf proof: 157
Zero half: 2
Explored 58812 nodes (4936711 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.644055 0.642415 0.641928 ... 0.6194
Time limit reached
Best objective 6.440549096670e-01, best bound 6.798523472965e-01, gap 5.5581%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp24xxovb3.pyomo.lp
Reading time = 0.00 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphg_w_r77.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 673 rows and 480 columns
Presolve time: 0.00s
Presolved: 273 rows, 331 columns, 1356 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.1373539e+01 4.891250e+02 0.000000e+00 0s
145 1.3442269e+01 0.000000e+00 0.000000e+00 0s
Solved in 145 iterations and 0.01 seconds
Optimal objective 1.344226919e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00268729, -0.01412805, -0.01412805]])
fopt: 3.038167854809307
fun: -3.049322582752605
message: 'Optimization terminated successfully.'
nfev: 132
nit: 2
status: 0
success: True
x: array([ 18.11883173, -87.99999921, -87.99999921])
xopt: array([18., 0., 0.])
zopt: array([18., 18., 18.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.97458264e-03, 1.01444963e-02, 2.10267375e-04]])
fopt: 2.51028619003619
fun: -2.5339226045566976
message: 'Optimization terminated successfully.'
nfev: 188
nit: 3
status: 0
success: True
x: array([ 36.25155888, -86.99533948, -0.99898215])
xopt: array([36., 0., 0.])
zopt: array([36., 36., 36.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.79815050e-03, 2.78072861e-03, 4.65415450e-05]])
fopt: 2.258452138067036
fun: -2.273916780408303
message: 'Optimization terminated successfully.'
nfev: 182
nit: 3
status: 0
success: True
x: array([ 59.17785713, -86.98846017, -0.766739 ])
xopt: array([59., 0., 0.])
zopt: array([59., 59., 59.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.04275357, -0.00144993, -0.05293808]])
fopt: 1.6427659966021533
fun: -1.6560386987470255
message: 'Optimization terminated successfully.'
nfev: 290
nit: 3
status: 0
success: True
x: array([ 59.63487096, -0.98852031, -66.99449856])
xopt: array([59., 0., 0.])
zopt: array([59., 59., 59.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.13642000e-05, -3.62971356e-10, -1.87654556e-10]])
fopt: 1.6342824684331736
fun: -1.6394686209205014
message: 'Optimization terminated successfully.'
nfev: 246
nit: 3
status: 0
success: True
x: array([88.17873675, 1.00029159, -0.72389754])
xopt: array([88., 1., 0.])
zopt: array([88., 89., 89.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1535
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.31294316e-05, -4.28527341e-14, -0.00000000e+00]])
fopt: 1.4370753060428012
fun: -1.437958861029893
message: 'Optimization terminated successfully.'
nfev: 276
nit: 2
status: 0
success: True
x: array([124.45254454, 1.0000004 , 1. ])
xopt: array([124., 1., 1.])
zopt: array([124., 125., 126.])
*******************************************
Period: 8
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.12371107, -0.00114304, -0.16146965]])
fopt: 1.3628794130963455
fun: -1.3654704822122636
message: 'Optimization terminated successfully.'
nfev: 475
nit: 5
status: 0
success: True
x: array([143.97120631, 2.21094614, -1.88944679])
xopt: array([143., 3., 0.])
zopt: array([143., 146., 146.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.40339300e-06, -1.27652030e-10, 1.32743549e-08]])
fopt: 1.1871904154639565
fun: -1.187273443236615
message: 'Optimization terminated successfully.'
nfev: 205
nit: 2
status: 0
success: True
x: array([145.54985634, 1.00762015, 0.20162616])
xopt: array([145., 1., 0.])
zopt: array([145., 146., 146.])
*******************************************
Period: 10
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.49122073e-07, 3.14163821e-17, 0.00000000e+00]])
fopt: 1.0674647081930635
fun: -1.0682944798714118
message: 'Optimization terminated successfully.'
nfev: 298
nit: 2
status: 0
success: True
x: array([144.9216664 , 1.00000001, 1. ])
xopt: array([144., 2., 1.])
zopt: array([144., 146., 147.])
*******************************************
Period: 11
direc: array([[ 3.04927348e-05, 2.15284861e-07, 2.12769756e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.16496366e-05, 1.24843263e-04, -1.70954989e-01]])
fopt: 1.0334005955611245
fun: -1.0343664029509552
message: 'Optimization terminated successfully.'
nfev: 413
nit: 4
status: 0
success: True
x: array([144.31126647, 2.00003171, 18.01577702])
xopt: array([144., 2., 18.])
zopt: array([144., 146., 164.])
*******************************************
Period: 12
direc: array([[ 2.79599673e-04, 1.94685971e-06, 1.94685971e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.54868969e-10, -1.07835661e-12, -7.28019157e-07]])
fopt: 0.8754916878865934
fun: -0.8737385716995696
message: 'Optimization terminated successfully.'
nfev: 501
nit: 5
status: 0
success: True
x: array([144.61597871, 2.00073489, 3.00000102])
xopt: array([144., 2., 4.])
zopt: array([144., 146., 150.])
*******************************************
Period: 13
direc: array([[ 0., 0., 0.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 0.7921637190432048
fun: -0.7910765312736218
message: 'Optimization terminated successfully.'
nfev: 310
nit: 3
status: 0
success: True
x: array([145.55478937, 1.14589803, 3. ])
xopt: array([145., 1., 3.])
zopt: array([145., 146., 149.])
*******************************************
Period: 14
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , -0.65040509]])
fopt: 1.029506097083865
fun: -1.0344337067086835
message: 'Optimization terminated successfully.'
nfev: 510
nit: 6
status: 0
success: True
x: array([144.63424502, 1.01350874, 72.00122318])
xopt: array([144., 2., 72.])
zopt: array([144., 146., 218.])
*******************************************
Period: 15
direc: array([[-6.66567892e-01, -4.91223645e-03, -0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.93815032e-09, 6.54853802e-08, -6.14943804e-05]])
fopt: 0.6782161056004155
fun: -0.6778790293242667
message: 'Optimization terminated successfully.'
nfev: 363
nit: 4
status: 0
success: True
x: array([143.97521451, 2.00363746, 3.11364128])
xopt: array([143., 3., 4.])
zopt: array([143., 146., 150.])
*******************************************
Period: 16
direc: array([[7.80078045e-02, 5.43100321e-04, 5.43100321e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.6280556754390288
fun: -0.6264378774194339
message: 'Optimization terminated successfully.'
nfev: 344
nit: 3
status: 0
success: True
x: array([144.71225282, 2.00060921, 3.0005431 ])
xopt: array([144., 2., 4.])
zopt: array([144., 146., 150.])
*******************************************
Period: 17
direc: array([[ 1.13304834e-02, 7.89153409e-05, 7.89153409e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.08842144e-11, -5.53454108e-14, -2.01126836e-09]])
fopt: 0.5822841415762822
fun: -0.5811285880686645
message: 'Optimization terminated successfully.'
nfev: 337
nit: 3
status: 0
success: True
x: array([144.58808701, 2.00002752, 3.00007232])
xopt: array([144., 2., 4.])
zopt: array([144., 146., 150.])
*******************************************
Period: 18
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 1.61345259e-07, -1.06742554e+00]])
fopt: 0.8849212779997216
fun: -0.8849315030258187
message: 'Optimization terminated successfully.'
nfev: 567
nit: 6
status: 0
success: True
x: array([145.60253123, 1.00971183, 140.00569222])
xopt: array([145., 1., 141.])
zopt: array([145., 146., 287.])
*******************************************
Period: 19
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.5016494043268024
fun: -0.5025690196878034
message: 'Optimization terminated successfully.'
nfev: 245
nit: 2
status: 0
success: True
x: array([145.18628056, 1.00000507, 1. ])
xopt: array([145., 1., 1.])
zopt: array([145., 146., 147.])
*******************************************
Period: 20
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 139.00562453]])
fopt: 0.7816030483865412
fun: -0.7820553024627059
message: 'Optimization terminated successfully.'
nfev: 452
nit: 5
status: 0
success: True
x: array([145.1767255, 0.3649334, 144.0030349])
xopt: array([145., 1., 145.])
zopt: array([145., 146., 291.])
*******************************************
Period: 21
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 156.73396673]])
fopt: 0.7682120033325649
fun: -0.7707405961701663
message: 'Optimization terminated successfully.'
nfev: 677
nit: 8
status: 0
success: True
x: array([145.17359158, 1.00957016, 162.00521027])
xopt: array([145., 1., 162.])
zopt: array([145., 146., 308.])
*******************************************
Period: 22
direc: array([[ 0., 0., 0.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 0.4644558075115148
fun: -0.4656751686916974
message: 'Optimization terminated successfully.'
nfev: 409
nit: 4
status: 0
success: True
x: array([145.03693042, 1.00042479, 5. ])
xopt: array([145., 1., 5.])
zopt: array([145., 146., 151.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -0.03583456, 1. ]])
fopt: 0.47593073113673834
fun: -0.47613375043230777
message: 'Optimization terminated successfully.'
nfev: 444
nit: 5
status: 0
success: True
x: array([145.55372108, 1.01241905, 5. ])
xopt: array([145., 1., 5.])
zopt: array([145., 146., 151.])
*******************************************
Period: 24
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.49136226969307606
fun: -0.49192712243195513
message: 'Optimization terminated successfully.'
nfev: 355
nit: 4
status: 0
success: True
x: array([145.48976589, 1.01171381, 5. ])
xopt: array([145., 1., 5.])
zopt: array([145., 146., 151.])
*******************************************
Period: 25
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.93136758e-08, 0.00000000e+00, 2.03026701e-10]])
fopt: 0.4943853011020979
fun: -0.49428247003398007
message: 'Optimization terminated successfully.'
nfev: 371
nit: 3
status: 0
success: True
x: array([145.38335291, 1.00000008, 3. ])
xopt: array([145., 1., 4.])
zopt: array([145., 146., 150.])
*******************************************
Period: 26
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5163629838318881
fun: -0.5184542763639742
message: 'Optimization terminated successfully.'
nfev: 440
nit: 5
status: 0
success: True
x: array([144.54542067, 2.02224833, 6. ])
xopt: array([144., 2., 6.])
zopt: array([144., 146., 152.])
*******************************************
Period: 27
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 2.]])
fopt: 0.537207929731901
fun: -0.5390693610751203
message: 'Optimization terminated successfully.'
nfev: 588
nit: 7
status: 0
success: True
x: array([145.21563619, 1.00816265, 14.01128535])
xopt: array([145., 1., 15.])
zopt: array([145., 146., 161.])
*******************************************
Period: 28
direc: array([[ 1.25827813e-03, 1.19361644e-06, 8.70619554e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.64308744e-09, -1.75397179e-02, 1.00000000e+00]])
fopt: 0.5402560988431423
fun: -0.5411504992950168
message: 'Optimization terminated successfully.'
nfev: 680
nit: 7
status: 0
success: True
x: array([145.52800632, 1.01147005, 9.00000871])
xopt: array([145., 1., 10.])
zopt: array([145., 146., 156.])
*******************************************
Period: 29
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -4.94935648e-10, 1.00000000e+00]])
fopt: 0.5601976634072209
fun: -0.561190233122385
message: 'Optimization terminated successfully.'
nfev: 546
nit: 6
status: 0
success: True
x: array([145.66322942, 1.00825164, 7. ])
xopt: array([145., 1., 7.])
zopt: array([145., 146., 153.])
*******************************************
Period: 30
direc: array([[-1.52421650e-03, 9.99989931e-01, 9.99989931e-01],
[ 3.31946499e-02, 2.19287698e-04, 2.19287698e-04],
[ 3.41377210e-05, -2.23985774e-02, 1.97760142e+00]])
fopt: 0.5410378258250704
fun: -0.5427717880172538
message: 'Optimization terminated successfully.'
nfev: 700
nit: 8
status: 0
success: True
x: array([152.40023038, 6.08044424, 14.08044424])
xopt: array([152., 6., 15.])
zopt: array([152., 158., 173.])
*******************************************
Period: 31
direc: array([[0. , 0. , 1. ],
[0. , 0. , 0. ],
[0. , 1. , 0.94427191]])
fopt: 0.5136653449098904
fun: -0.5143579645656664
message: 'Optimization terminated successfully.'
nfev: 350
nit: 5
status: 0
success: True
x: array([165.20843466, 6. , 7.64434526])
xopt: array([165., 6., 8.])
zopt: array([165., 171., 179.])
*******************************************
Period: 32
direc: array([[ 4.47744222e-05, 1.00000029e+00, 9.78258762e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.61481582e-06, -2.71642386e-01, -1.75813667e-01]])
fopt: 0.6161943606538847
fun: -0.618198925120034
message: 'Optimization terminated successfully.'
nfev: 391
nit: 5
status: 0
success: True
x: array([155.04180506, 65.00699831, 44.36566295])
xopt: array([155., 65., 44.])
zopt: array([155., 220., 264.])
*******************************************
Period: 33
direc: array([[0.34467707, 0.00166874, 0.00340264],
[0. , 1. , 0. ],
[0. , 0. , 0. ]])
fopt: 0.4929950491571662
fun: -0.49309849489196617
message: 'Optimization terminated successfully.'
nfev: 317
nit: 3
status: 0
success: True
x: array([207.89424241, 3.00166874, 4.04245557])
xopt: array([207., 4., 5.])
zopt: array([207., 211., 216.])
*******************************************
Period: 34
direc: array([[1. , 0. , 0. ],
[0.02037945, 1. , 0.94427191],
[0.01675645, 1. , 0. ]])
fopt: 0.48031723319461095
fun: -0.4815822842598224
message: 'Optimization terminated successfully.'
nfev: 428
nit: 5
status: 0
success: True
x: array([215.99999409, 7. , 5.01027693])
xopt: array([215., 7., 6.])
zopt: array([215., 222., 228.])
*******************************************
Period: 35
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-7.57546151e+00, 3.00000000e+00, 2.00000000e+00],
[ 7.72993273e-02, 4.80413793e+01, -5.59230888e-08]])
fopt: 0.6922922822421951
fun: -0.6934517714402607
message: 'Optimization terminated successfully.'
nfev: 848
nit: 11
status: 0
success: True
x: array([ 75.99999973, 123.01054165, 48.09188027])
xopt: array([ 75., 123., 48.])
zopt: array([ 75., 198., 246.])
*******************************************
Period: 36
direc: array([[1.44577704e+00, 6.99966149e-03, 1.41165695e-02],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.60508727e+01, 1.11795208e+01, 2.31509589e+01]])
fopt: 0.5166033829762955
fun: -0.5173417869824743
message: 'Optimization terminated successfully.'
nfev: 410
nit: 5
status: 0
success: True
x: array([221.2580411 , 15.01632244, 28.21183562])
xopt: array([221., 15., 29.])
zopt: array([221., 236., 265.])
*******************************************
Period: 37
direc: array([[ 2.22579352e-01, 1.00107761e+00, 1.00215642e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.35698231e-11, 3.23625142e+01, -1.06003123e-10]])
fopt: 0.48015551105652676
fun: -0.4786780537090012
message: 'Optimization terminated successfully.'
nfev: 851
nit: 9
status: 0
success: True
x: array([207.97529438, 52.3630597 , 5.00506368])
xopt: array([207., 52., 6.])
zopt: array([207., 259., 265.])
*******************************************
Period: 38
direc: array([[ 0. , 1.01703375, 1. ],
[ 0. , 1. , 0. ],
[ 0.39126465, 30.48106261, 20.16156947]])
fopt: 0.4805062052305516
fun: -0.47989216240026444
message: 'Optimization terminated successfully.'
nfev: 526
nit: 7
status: 0
success: True
x: array([208.38685638, 38.15870181, 28.09918192])
xopt: array([208., 38., 29.])
zopt: array([208., 246., 275.])
*******************************************
Period: 39
direc: array([[2.05553235e-08, 9.94830166e-11, 2.07251656e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 2.71173924e+01, 1.80782616e+01]])
fopt: 0.47004175943930193
fun: -0.4702434596562549
message: 'Optimization terminated successfully.'
nfev: 623
nit: 7
status: 0
success: True
x: array([207.62143376, 34.08739271, 25.0884015 ])
xopt: array([207., 34., 26.])
zopt: array([207., 241., 267.])
*******************************************
Period: 40
direc: array([[3.14881392e-01, 1.55795273e-03, 1.52601888e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.82093962e-10, 2.71974986e+01, 1.81316658e+01]])
fopt: 0.45472047095095847
fun: -0.4544078464160719
message: 'Optimization terminated successfully.'
nfev: 640
nit: 7
status: 0
success: True
x: array([207.66752921, 35.18892975, 25.13324465])
xopt: array([207., 35., 26.])
zopt: array([207., 242., 268.])
*******************************************
Period: 41
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ],
[ 0. , -0.06920012, 0. ]])
fopt: 0.4394145249759488
fun: -0.4385125101327763
message: 'Optimization terminated successfully.'
nfev: 387
nit: 6
status: 0
success: True
x: array([207.37734589, 38.34892103, 27.00477865])
xopt: array([207., 38., 28.])
zopt: array([207., 245., 273.])
*******************************************
Period: 42
direc: array([[1.26102748e+00, 6.13790817e-03, 1.23023370e-02],
[1.24841720e+00, 9.96076529e-01, 1.00217931e+00],
[0.00000000e+00, 2.82519540e+01, 0.00000000e+00]])
fopt: 0.4110759871634534
fun: -0.41149900524931177
message: 'Optimization terminated successfully.'
nfev: 1651
nit: 15
status: 0
success: True
x: array([207.73868031, 52.00005159, 5.0064473 ])
xopt: array([207., 52., 6.])
zopt: array([207., 259., 265.])
*******************************************
Period: 43
direc: array([[-6.86917678e-01, 1.00000000e+00, 1.00000000e+00],
[-2.73588035e+01, 1.21118279e+01, 1.81677418e+01],
[-1.02090301e-04, 1.46327480e-04, -2.26734541e-02]])
fopt: 0.656905030810442
fun: -0.6545867340744995
message: 'Optimization terminated successfully.'
nfev: 372
nit: 6
status: 0
success: True
x: array([ 75.560096 , 85.00000017, 131.00000023])
xopt: array([ 75., 86., 132.])
zopt: array([ 75., 161., 293.])
*******************************************
Period: 44
direc: array([[ 5.58240682e-03, 2.69172994e-05, 5.43405232e-05],
[ 0.00000000e+00, 8.72867532e+01, 5.81911688e+01],
[ 0.00000000e+00, 9.99701371e-01, -1.99085998e-04]])
fopt: 0.47339374968270725
fun: -0.4744665723474396
message: 'Optimization terminated successfully.'
nfev: 895
nit: 9
status: 0
success: True
x: array([204.01727843, 98.00396986, 65.02451008])
xopt: array([204., 98., 65.])
zopt: array([204., 302., 367.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgb3wyfp5.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl86rr19i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57816
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.03817 1.57816
Optimal solution found (tolerance 1.00e-02)
Best objective 3.038167854809e+00, best bound 3.038167854809e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpph_6v88b.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm_w8gvzy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07703
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.510286e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.5102862 2.51029 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.51029 1.07703
Optimal solution found (tolerance 1.00e-02)
Best objective 2.510286190036e+00, best bound 2.510286190036e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeq3vqv0p.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpszqd1q5z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43649
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.258452e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.2584521 2.25845 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.25845 1.43649
Optimal solution found (tolerance 1.00e-02)
Best objective 2.258452138067e+00, best bound 2.258452138067e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfocghpyw.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1z8u0cyw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.64277
Presolve removed 132 rows and 94 columns
Presolve time: 0.00s
Presolved: 59 rows, 48 columns, 199 nonzeros
Variable types: 23 continuous, 25 integer (20 binary)
Root relaxation: objective 1.828813e+00, 38 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68864 0 5 1.64277 1.68864 2.79% - 0s
0 0 cutoff 0 1.64277 1.64277 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 2
Explored 1 nodes (41 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.64277
Optimal solution found (tolerance 1.00e-02)
Best objective 1.642765996602e+00, best bound 1.642765996602e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn0ky4qda.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg76lys9r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28732
Presolve removed 123 rows and 85 columns
Presolve time: 0.00s
Presolved: 114 rows, 90 columns, 380 nonzeros
Variable types: 43 continuous, 47 integer (42 binary)
Root relaxation: objective 2.112175e+00, 68 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11218 0 4 1.28732 2.11218 64.1% - 0s
H 0 0 1.8217648 2.11218 15.9% - 0s
0 0 cutoff 0 1.82176 1.82176 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (90 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.82176 1.28732
Optimal solution found (tolerance 1.00e-02)
Best objective 1.821764750221e+00, best bound 1.821764750221e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6zpw5fz1.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgxcgq3ja.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.40182
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 2.079357e+00, 88 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07936 0 5 1.40182 2.07936 48.3% - 0s
H 0 0 1.7428002 2.07936 19.3% - 0s
0 0 1.81651 0 1 1.74280 1.81651 4.23% - 0s
0 0 1.81651 0 2 1.74280 1.81651 4.23% - 0s
0 0 1.78608 0 2 1.74280 1.78608 2.48% - 0s
0 0 1.78608 0 2 1.74280 1.78608 2.48% - 0s
0 0 1.78608 0 1 1.74280 1.78608 2.48% - 0s
0 0 cutoff 0 1.74280 1.74280 0.00% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
Explored 1 nodes (151 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.7428 1.40182
Optimal solution found (tolerance 1.00e-02)
Best objective 1.742800177917e+00, best bound 1.742800177917e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2juadc79.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwquk_1je.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.38389
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.117907e+00, 108 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11791 0 8 1.38389 2.11791 53.0% - 0s
H 0 0 1.7429688 2.11791 21.5% - 0s
0 0 1.91123 0 8 1.74297 1.91123 9.65% - 0s
0 0 1.87697 0 4 1.74297 1.87697 7.69% - 0s
0 0 1.82736 0 5 1.74297 1.82736 4.84% - 0s
0 0 1.82166 0 4 1.74297 1.82166 4.51% - 0s
0 0 1.82164 0 2 1.74297 1.82164 4.51% - 0s
0 0 1.82164 0 2 1.74297 1.82164 4.51% - 0s
0 0 1.82164 0 5 1.74297 1.82164 4.51% - 0s
0 0 1.75362 0 1 1.74297 1.75362 0.61% - 0s
Cutting planes:
Gomory: 1
Cover: 1
Implied bound: 2
Clique: 4
MIR: 5
Flow cover: 3
Explored 1 nodes (230 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.74297 1.38389
Optimal solution found (tolerance 1.00e-02)
Best objective 1.742968834526e+00, best bound 1.753621616921e+00, gap 0.6112%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpatvda501.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprp5cz0vd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.42598
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.143902e+00, 137 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14390 0 12 1.42598 2.14390 50.3% - 0s
H 0 0 1.4304404 2.14390 49.9% - 0s
0 0 1.91771 0 6 1.43044 1.91771 34.1% - 0s
0 0 1.91768 0 6 1.43044 1.91768 34.1% - 0s
0 0 1.90802 0 4 1.43044 1.90802 33.4% - 0s
H 0 0 1.6000494 1.90802 19.2% - 0s
0 0 1.90504 0 7 1.60005 1.90504 19.1% - 0s
0 0 1.90502 0 7 1.60005 1.90502 19.1% - 0s
0 0 1.90500 0 7 1.60005 1.90500 19.1% - 0s
0 0 1.90301 0 10 1.60005 1.90301 18.9% - 0s
H 0 0 1.6533856 1.90301 15.1% - 0s
0 0 1.90277 0 10 1.65339 1.90277 15.1% - 0s
0 0 1.90077 0 13 1.65339 1.90077 15.0% - 0s
0 0 1.90062 0 13 1.65339 1.90062 15.0% - 0s
0 0 1.89947 0 12 1.65339 1.89947 14.9% - 0s
0 0 1.89770 0 13 1.65339 1.89770 14.8% - 0s
0 0 1.89763 0 13 1.65339 1.89763 14.8% - 0s
0 0 1.89763 0 13 1.65339 1.89763 14.8% - 0s
0 0 1.89763 0 4 1.65339 1.89763 14.8% - 0s
0 0 1.86666 0 10 1.65339 1.86666 12.9% - 0s
0 0 1.86589 0 10 1.65339 1.86589 12.9% - 0s
0 0 1.70596 0 6 1.65339 1.70596 3.18% - 0s
0 0 1.70559 0 7 1.65339 1.70559 3.16% - 0s
0 0 1.70377 0 7 1.65339 1.70377 3.05% - 0s
0 0 1.70365 0 7 1.65339 1.70365 3.04% - 0s
0 0 1.69896 0 7 1.65339 1.69896 2.76% - 0s
0 0 1.69896 0 7 1.65339 1.69896 2.76% - 0s
0 0 1.69807 0 7 1.65339 1.69807 2.70% - 0s
0 0 1.69718 0 7 1.65339 1.69718 2.65% - 0s
0 0 1.69347 0 7 1.65339 1.69347 2.42% - 0s
0 0 1.69316 0 7 1.65339 1.69316 2.41% - 0s
0 0 1.69247 0 7 1.65339 1.69247 2.36% - 0s
0 0 1.69206 0 7 1.65339 1.69206 2.34% - 0s
0 0 1.66399 0 1 1.65339 1.66399 0.64% - 0s
Cutting planes:
Gomory: 1
Cover: 1
MIR: 2
StrongCG: 1
Flow cover: 3
Explored 1 nodes (341 simplex iterations) in 0.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.65339 1.60005 1.43044 1.42598
Optimal solution found (tolerance 1.00e-02)
Best objective 1.653385608578e+00, best bound 1.663994924531e+00, gap 0.6417%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpysov4vbu.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv7ru901t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.45172
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.903049e+00, 151 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90305 0 13 1.45172 1.90305 31.1% - 0s
0 0 1.69290 0 7 1.45172 1.69290 16.6% - 0s
0 0 1.69287 0 7 1.45172 1.69287 16.6% - 0s
0 0 1.68183 0 5 1.45172 1.68183 15.9% - 0s
0 0 1.67457 0 11 1.45172 1.67457 15.4% - 0s
0 0 1.67344 0 13 1.45172 1.67344 15.3% - 0s
0 0 1.67295 0 13 1.45172 1.67295 15.2% - 0s
0 0 1.67295 0 13 1.45172 1.67295 15.2% - 0s
0 0 1.67276 0 16 1.45172 1.67276 15.2% - 0s
0 0 1.67276 0 16 1.45172 1.67276 15.2% - 0s
0 2 1.67276 0 16 1.45172 1.67276 15.2% - 0s
Cutting planes:
Gomory: 6
Cover: 1
Clique: 1
MIR: 3
Flow cover: 11
Explored 22 nodes (369 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.45172
Optimal solution found (tolerance 1.00e-02)
Best objective 1.451718402291e+00, best bound 1.454772769480e+00, gap 0.2104%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbtsx2o6o.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuu8nunpu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30387
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.720978e+00, 175 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72098 0 19 1.30387 1.72098 32.0% - 0s
0 0 1.51646 0 13 1.30387 1.51646 16.3% - 0s
0 0 1.51009 0 14 1.30387 1.51009 15.8% - 0s
0 0 1.50974 0 17 1.30387 1.50974 15.8% - 0s
0 0 1.50964 0 17 1.30387 1.50964 15.8% - 0s
0 0 1.50960 0 17 1.30387 1.50960 15.8% - 0s
0 0 1.50960 0 17 1.30387 1.50960 15.8% - 0s
0 2 1.50960 0 17 1.30387 1.50960 15.8% - 0s
H 61 0 1.3038667 1.32006 1.24% 5.7 0s
Cutting planes:
Gomory: 8
Implied bound: 4
MIR: 1
Flow cover: 12
Explored 67 nodes (649 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.30387 1.30387
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (3.2030e-06) exceeds tolerance
Best objective 1.303866723683e+00, best bound 1.303866723683e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcmyicc61.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu2pfv1g_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17936
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.655325e+00, 192 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65532 0 22 1.17936 1.65532 40.4% - 0s
0 0 1.46997 0 22 1.17936 1.46997 24.6% - 0s
0 0 1.46272 0 23 1.17936 1.46272 24.0% - 0s
0 0 1.46268 0 23 1.17936 1.46268 24.0% - 0s
0 0 1.46044 0 24 1.17936 1.46044 23.8% - 0s
0 0 1.45938 0 26 1.17936 1.45938 23.7% - 0s
0 0 1.45938 0 26 1.17936 1.45938 23.7% - 0s
0 0 1.45923 0 27 1.17936 1.45923 23.7% - 0s
0 0 1.45923 0 27 1.17936 1.45923 23.7% - 0s
H 0 0 1.2472552 1.45923 17.0% - 0s
0 2 1.45923 0 23 1.24726 1.45923 17.0% - 0s
Cutting planes:
Gomory: 11
Implied bound: 6
MIR: 3
Flow cover: 15
Inf proof: 1
Explored 181 nodes (1395 simplex iterations) in 0.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.24726 1.17936
Optimal solution found (tolerance 1.00e-02)
Best objective 1.247255206711e+00, best bound 1.247255206711e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprp07_kzq.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptagmswk6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08784
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.688254e+00, 219 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68825 0 25 1.08784 1.68825 55.2% - 0s
0 0 1.49578 0 20 1.08784 1.49578 37.5% - 0s
0 0 1.48571 0 16 1.08784 1.48571 36.6% - 0s
0 0 1.48563 0 18 1.08784 1.48563 36.6% - 0s
0 0 1.48543 0 19 1.08784 1.48543 36.5% - 0s
0 0 1.48543 0 19 1.08784 1.48543 36.5% - 0s
H 0 0 1.2384212 1.48543 19.9% - 0s
0 2 1.48543 0 19 1.23842 1.48543 19.9% - 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 8
MIR: 1
Flow cover: 20
Inf proof: 10
Explored 463 nodes (3313 simplex iterations) in 0.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.23842 1.08784
Optimal solution found (tolerance 1.00e-02)
Best objective 1.238421157450e+00, best bound 1.238421157450e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc406dw7a.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz380ltdd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09349
Presolve removed 242 rows and 159 columns
Presolve time: 0.00s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.714154e+00, 242 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71415 0 28 1.09349 1.71415 56.8% - 0s
0 0 1.50810 0 22 1.09349 1.50810 37.9% - 0s
0 0 1.49990 0 21 1.09349 1.49990 37.2% - 0s
0 0 1.49780 0 22 1.09349 1.49780 37.0% - 0s
0 0 1.49780 0 22 1.09349 1.49780 37.0% - 0s
0 0 1.49766 0 22 1.09349 1.49766 37.0% - 0s
0 0 1.49766 0 20 1.09349 1.49766 37.0% - 0s
0 2 1.49766 0 20 1.09349 1.49766 37.0% - 0s
* 62 41 21 1.2614109 1.49001 18.1% 6.5 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 16
MIR: 3
Flow cover: 21
Inf proof: 10
Explored 863 nodes (5517 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.26141 1.09349
Optimal solution found (tolerance 1.00e-02)
Best objective 1.261410874214e+00, best bound 1.261410874214e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdjzc158l.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzh6mxl5s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12485
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.713338e+00, 260 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71334 0 31 1.12485 1.71334 52.3% - 0s
0 0 1.50802 0 21 1.12485 1.50802 34.1% - 0s
0 0 1.49599 0 22 1.12485 1.49599 33.0% - 0s
0 0 1.49598 0 22 1.12485 1.49598 33.0% - 0s
0 0 1.49573 0 27 1.12485 1.49573 33.0% - 0s
0 0 1.49565 0 27 1.12485 1.49565 33.0% - 0s
0 0 1.48907 0 25 1.12485 1.48907 32.4% - 0s
0 0 1.48889 0 26 1.12485 1.48889 32.4% - 0s
0 0 1.48812 0 23 1.12485 1.48812 32.3% - 0s
0 0 1.48329 0 28 1.12485 1.48329 31.9% - 0s
0 0 1.48329 0 28 1.12485 1.48329 31.9% - 0s
0 0 1.48329 0 26 1.12485 1.48329 31.9% - 0s
0 2 1.48329 0 24 1.12485 1.48329 31.9% - 0s
* 81 47 29 1.1988582 1.46967 22.6% 10.8 0s
Cutting planes:
Gomory: 15
Cover: 7
Implied bound: 16
MIR: 4
Flow cover: 29
Inf proof: 31
Explored 2156 nodes (15250 simplex iterations) in 0.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.19886 1.12485
Optimal solution found (tolerance 1.00e-02)
Best objective 1.198858176292e+00, best bound 1.198858176292e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4c2s_2nd.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt2nbms2x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11112
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.611143e+00, 282 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61114 0 33 1.11112 1.61114 45.0% - 0s
0 0 1.42075 0 25 1.11112 1.42075 27.9% - 0s
0 0 1.42075 0 25 1.11112 1.42075 27.9% - 0s
0 0 1.41361 0 30 1.11112 1.41361 27.2% - 0s
0 0 1.41300 0 30 1.11112 1.41300 27.2% - 0s
0 0 1.40912 0 30 1.11112 1.40912 26.8% - 0s
0 0 1.40905 0 30 1.11112 1.40905 26.8% - 0s
0 0 1.40867 0 28 1.11112 1.40867 26.8% - 0s
0 0 1.40867 0 28 1.11112 1.40867 26.8% - 0s
0 0 1.40867 0 28 1.11112 1.40867 26.8% - 0s
0 0 1.40867 0 23 1.11112 1.40867 26.8% - 0s
0 2 1.40867 0 23 1.11112 1.40867 26.8% - 0s
* 909 207 35 1.1142181 1.24489 11.7% 7.3 0s
* 1130 222 36 1.1153489 1.24087 11.3% 7.6 0s
* 1223 224 30 1.1187359 1.22181 9.21% 7.7 0s
Cutting planes:
Gomory: 19
Cover: 7
Implied bound: 29
MIR: 5
Flow cover: 29
Inf proof: 35
Explored 2264 nodes (18065 simplex iterations) in 1.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.11874 1.11535 1.11422 1.11112
Optimal solution found (tolerance 1.00e-02)
Best objective 1.118735923746e+00, best bound 1.118735923746e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd7o320kg.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfhwaa7a1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02693
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.567717e+00, 311 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56772 0 34 1.02693 1.56772 52.7% - 0s
0 0 1.36773 0 34 1.02693 1.36773 33.2% - 0s
0 0 1.36773 0 34 1.02693 1.36773 33.2% - 0s
0 0 1.34076 0 33 1.02693 1.34076 30.6% - 0s
0 0 1.34074 0 36 1.02693 1.34074 30.6% - 0s
0 0 1.33937 0 42 1.02693 1.33937 30.4% - 0s
0 0 1.33930 0 43 1.02693 1.33930 30.4% - 0s
0 0 1.33921 0 41 1.02693 1.33921 30.4% - 0s
0 0 1.33921 0 31 1.02693 1.33921 30.4% - 0s
0 2 1.33921 0 31 1.02693 1.33921 30.4% - 0s
* 177 103 42 1.0636228 1.29862 22.1% 8.6 0s
Cutting planes:
Gomory: 17
Cover: 32
Implied bound: 40
MIR: 5
Flow cover: 31
Inf proof: 68
Explored 4633 nodes (36969 simplex iterations) in 2.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.06362 1.02693
Optimal solution found (tolerance 1.00e-02)
Best objective 1.063622760595e+00, best bound 1.063622760595e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu0q49ik7.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa_p9lnlj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.964946
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.568061e+00, 355 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56806 0 35 0.96495 1.56806 62.5% - 0s
0 0 1.38037 0 30 0.96495 1.38037 43.1% - 0s
0 0 1.37692 0 28 0.96495 1.37692 42.7% - 0s
0 0 1.37187 0 37 0.96495 1.37187 42.2% - 0s
0 0 1.36883 0 39 0.96495 1.36883 41.9% - 0s
0 0 1.36825 0 34 0.96495 1.36825 41.8% - 0s
0 0 1.36784 0 36 0.96495 1.36784 41.8% - 0s
0 0 1.36784 0 36 0.96495 1.36784 41.8% - 0s
0 0 1.36784 0 30 0.96495 1.36784 41.8% - 0s
0 2 1.36784 0 29 0.96495 1.36784 41.8% - 0s
* 1311 380 54 1.0613930 1.20604 13.6% 8.8 1s
H 1614 279 1.0613930 1.16691 9.94% 9.6 1s
Cutting planes:
Gomory: 26
Cover: 2
Implied bound: 12
Projected implied bound: 23
MIR: 7
Flow cover: 18
Inf proof: 18
Explored 2161 nodes (21833 simplex iterations) in 1.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.06139 1.06139 0.964946
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (7.6078e-06) exceeds tolerance
Warning: max bound violation (1.2669e-06) exceeds tolerance
Best objective 1.061393003397e+00, best bound 1.061393003397e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyvm0kgao.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp57k29dk6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.972828
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.519249e+00, 349 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51925 0 40 0.97283 1.51925 56.2% - 0s
0 0 1.33855 0 35 0.97283 1.33855 37.6% - 0s
0 0 1.32702 0 31 0.97283 1.32702 36.4% - 0s
0 0 1.32348 0 34 0.97283 1.32348 36.0% - 0s
0 0 1.32091 0 45 0.97283 1.32091 35.8% - 0s
0 0 1.32087 0 45 0.97283 1.32087 35.8% - 0s
0 0 1.32037 0 46 0.97283 1.32037 35.7% - 0s
0 0 1.32037 0 45 0.97283 1.32037 35.7% - 0s
0 0 1.32037 0 39 0.97283 1.32037 35.7% - 0s
0 2 1.32037 0 39 0.97283 1.32037 35.7% - 0s
H 1272 442 1.0171853 1.18153 16.2% 9.8 1s
Cutting planes:
Gomory: 30
Cover: 1
Implied bound: 7
Projected implied bound: 8
MIR: 9
Flow cover: 28
Inf proof: 12
Explored 2360 nodes (23422 simplex iterations) in 2.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.01719 0.972828
Optimal solution found (tolerance 1.00e-02)
Best objective 1.017185271413e+00, best bound 1.024643599389e+00, gap 0.7332%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkixyv3u1.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdqzdbm8s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.944246
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.462054e+00, 380 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46205 0 44 0.94425 1.46205 54.8% - 0s
0 0 1.26715 0 44 0.94425 1.26715 34.2% - 0s
0 0 1.26715 0 44 0.94425 1.26715 34.2% - 0s
0 0 1.25280 0 43 0.94425 1.25280 32.7% - 0s
0 0 1.25277 0 46 0.94425 1.25277 32.7% - 0s
0 0 1.25248 0 50 0.94425 1.25248 32.6% - 0s
0 0 1.25248 0 38 0.94425 1.25248 32.6% - 0s
0 2 1.25248 0 38 0.94425 1.25248 32.6% - 0s
H 2430 368 0.9510981 1.06443 11.9% 10.7 2s
H 2431 330 0.9622221 1.06443 10.6% 10.8 2s
Cutting planes:
Gomory: 23
Cover: 2
Implied bound: 9
Projected implied bound: 11
MIR: 7
Flow cover: 26
Inf proof: 26
Explored 3843 nodes (41457 simplex iterations) in 3.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.962222 0.951098 0.944246
Optimal solution found (tolerance 1.00e-02)
Best objective 9.622221158059e-01, best bound 9.691172640780e-01, gap 0.7166%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1z9lmk4_.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcisrhqv6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910732
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.388207e+00, 427 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38821 0 47 0.91073 1.38821 52.4% - 0s
0 0 1.20835 0 44 0.91073 1.20835 32.7% - 0s
0 0 1.20822 0 44 0.91073 1.20822 32.7% - 0s
0 0 1.19546 0 40 0.91073 1.19546 31.3% - 0s
0 0 1.19535 0 47 0.91073 1.19535 31.3% - 0s
0 0 1.19369 0 51 0.91073 1.19369 31.1% - 0s
0 0 1.19366 0 52 0.91073 1.19366 31.1% - 0s
0 0 1.19345 0 55 0.91073 1.19345 31.0% - 0s
0 0 1.19345 0 44 0.91073 1.19345 31.0% - 0s
0 2 1.19345 0 42 0.91073 1.19345 31.0% - 0s
H 2610 196 0.9107318 0.98462 8.11% 12.4 2s
Cutting planes:
Gomory: 40
Cover: 3
Implied bound: 10
Projected implied bound: 8
MIR: 12
Flow cover: 26
Inf proof: 24
Explored 3147 nodes (37649 simplex iterations) in 3.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.910732 0.910732
Optimal solution found (tolerance 1.00e-02)
Best objective 9.107317538593e-01, best bound 9.107317538593e-01, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvszsbz93.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqeq4ow45.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.862683
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.349092e+00, 453 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34909 0 52 0.86268 1.34909 56.4% - 0s
0 0 1.16643 0 44 0.86268 1.16643 35.2% - 0s
0 0 1.16643 0 44 0.86268 1.16643 35.2% - 0s
0 0 1.15378 0 44 0.86268 1.15378 33.7% - 0s
0 0 1.15374 0 44 0.86268 1.15374 33.7% - 0s
0 0 1.15344 0 55 0.86268 1.15344 33.7% - 0s
0 0 1.15344 0 39 0.86268 1.15344 33.7% - 0s
0 2 1.15344 0 38 0.86268 1.15344 33.7% - 0s
* 1262 485 76 0.8902342 1.04541 17.4% 12.7 1s
5219 760 0.94071 30 47 0.89023 0.95789 7.60% 13.9 5s
Cutting planes:
Gomory: 48
Cover: 2
Implied bound: 9
Projected implied bound: 14
MIR: 17
Flow cover: 44
Inf proof: 48
Explored 7598 nodes (101778 simplex iterations) in 6.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.890234 0.862683
Optimal solution found (tolerance 1.00e-02)
Best objective 8.902341913821e-01, best bound 8.928408930364e-01, gap 0.2928%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjx40w26p.pyomo.lp
Reading time = 0.00 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl7aqbyek.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.873112
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.298791e+00, 459 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29879 0 49 0.87311 1.29879 48.8% - 0s
0 0 1.14821 0 46 0.87311 1.14821 31.5% - 0s
0 0 1.14821 0 46 0.87311 1.14821 31.5% - 0s
0 0 1.13610 0 42 0.87311 1.13610 30.1% - 0s
0 0 1.13606 0 42 0.87311 1.13606 30.1% - 0s
0 0 1.13561 0 50 0.87311 1.13561 30.1% - 0s
0 0 1.13561 0 42 0.87311 1.13561 30.1% - 0s
0 2 1.13561 0 39 0.87311 1.13561 30.1% - 0s
H 3090 741 0.8731120 1.00106 14.7% 13.0 3s
5061 1279 cutoff 48 0.87311 0.99157 13.6% 13.1 5s
H 6439 1518 0.8731120 0.97531 11.7% 13.4 6s
10544 1286 0.91198 45 45 0.87311 0.93653 7.26% 14.1 10s
Cutting planes:
Gomory: 45
Cover: 6
Implied bound: 10
Projected implied bound: 15
MIR: 8
Flow cover: 50
Inf proof: 67
Explored 14063 nodes (195607 simplex iterations) in 12.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.873112 0.873112 0.873112
Optimal solution found (tolerance 1.00e-02)
Best objective 8.731119614690e-01, best bound 8.805868793259e-01, gap 0.8561%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnf6uklo1.pyomo.lp
Reading time = 0.00 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp53fzu5h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.865311
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.262890e+00, 476 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26289 0 54 0.86531 1.26289 45.9% - 0s
0 0 1.14884 0 47 0.86531 1.14884 32.8% - 0s
0 0 1.14884 0 47 0.86531 1.14884 32.8% - 0s
0 0 1.13430 0 53 0.86531 1.13430 31.1% - 0s
0 0 1.11465 0 56 0.86531 1.11465 28.8% - 0s
0 0 1.10900 0 69 0.86531 1.10900 28.2% - 0s
0 0 1.10872 0 71 0.86531 1.10872 28.1% - 0s
0 0 1.10793 0 72 0.86531 1.10793 28.0% - 0s
0 0 1.10793 0 73 0.86531 1.10793 28.0% - 0s
0 0 1.10782 0 72 0.86531 1.10782 28.0% - 0s
0 0 1.10782 0 55 0.86531 1.10782 28.0% - 0s
0 2 1.10782 0 55 0.86531 1.10782 28.0% - 0s
H 2480 536 0.8653112 0.98641 14.0% 16.3 3s
3737 746 cutoff 44 0.86531 0.97335 12.5% 16.6 5s
H 4784 853 0.8653112 0.96493 11.5% 17.2 6s
8317 734 cutoff 37 0.86531 0.93093 7.58% 17.6 10s
Cutting planes:
Gomory: 50
Cover: 5
Implied bound: 18
Projected implied bound: 15
MIR: 13
Flow cover: 61
Inf proof: 72
Explored 11741 nodes (192324 simplex iterations) in 13.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.865311 0.865311 0.865311
Optimal solution found (tolerance 1.00e-02)
Best objective 8.653111959923e-01, best bound 8.732575712135e-01, gap 0.9183%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnhef8x3m.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvdni8wo3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.863341
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.255973e+00, 509 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25597 0 56 0.86334 1.25597 45.5% - 0s
0 0 1.14312 0 52 0.86334 1.14312 32.4% - 0s
0 0 1.14312 0 52 0.86334 1.14312 32.4% - 0s
0 0 1.12658 0 48 0.86334 1.12658 30.5% - 0s
0 0 1.12657 0 51 0.86334 1.12657 30.5% - 0s
0 0 1.12623 0 51 0.86334 1.12623 30.5% - 0s
0 0 1.12623 0 43 0.86334 1.12623 30.5% - 0s
0 2 1.12623 0 40 0.86334 1.12623 30.5% - 0s
H 2779 866 0.8633405 0.99657 15.4% 12.3 3s
4918 1385 0.92297 38 44 0.86334 0.97238 12.6% 12.7 5s
H 6969 1666 0.8633405 0.95635 10.8% 12.5 6s
H 7920 1742 0.8633406 0.94880 9.90% 12.6 7s
10862 1447 infeasible 39 0.86334 0.91867 6.41% 12.4 10s
Cutting planes:
Gomory: 23
Implied bound: 7
Projected implied bound: 12
MIR: 3
Flow cover: 21
Inf proof: 21
Explored 14637 nodes (175390 simplex iterations) in 12.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.863341 0.863341 0.863341 0.863341
Optimal solution found (tolerance 1.00e-02)
Best objective 8.633405595686e-01, best bound 8.701745295607e-01, gap 0.7916%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl7gfxmjp.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaq6gul0m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.851494
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.227521e+00, 525 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22752 0 60 0.85149 1.22752 44.2% - 0s
0 0 1.12502 0 58 0.85149 1.12502 32.1% - 0s
0 0 1.11440 0 61 0.85149 1.11440 30.9% - 0s
0 0 1.11440 0 61 0.85149 1.11440 30.9% - 0s
0 0 1.11402 0 66 0.85149 1.11402 30.8% - 0s
0 0 1.11402 0 50 0.85149 1.11402 30.8% - 0s
0 2 1.11402 0 48 0.85149 1.11402 30.8% - 0s
5347 851 0.86822 29 41 0.85149 0.91828 7.84% 12.7 5s
Cutting planes:
Gomory: 22
Implied bound: 4
Projected implied bound: 4
MIR: 8
Flow cover: 16
Inf proof: 11
Explored 8617 nodes (99790 simplex iterations) in 7.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.851494
Optimal solution found (tolerance 1.00e-02)
Best objective 8.514940325354e-01, best bound 8.588989407461e-01, gap 0.8696%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp86wa6d5x.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp881ntejl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.856239
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.229825e+00, 567 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22983 0 62 0.85624 1.22983 43.6% - 0s
0 0 1.13153 0 63 0.85624 1.13153 32.2% - 0s
0 0 1.12850 0 61 0.85624 1.12850 31.8% - 0s
0 0 1.11700 0 58 0.85624 1.11700 30.5% - 0s
0 0 1.11584 0 62 0.85624 1.11584 30.3% - 0s
0 0 1.11413 0 69 0.85624 1.11413 30.1% - 0s
0 0 1.11405 0 70 0.85624 1.11405 30.1% - 0s
0 0 1.11336 0 76 0.85624 1.11336 30.0% - 0s
0 0 1.11334 0 76 0.85624 1.11334 30.0% - 0s
0 0 1.11319 0 77 0.85624 1.11319 30.0% - 0s
0 0 1.11319 0 60 0.85624 1.11319 30.0% - 0s
0 2 1.11319 0 60 0.85624 1.11319 30.0% - 0s
4286 777 0.87559 37 46 0.85624 0.91060 6.35% 13.0 5s
Cutting planes:
Gomory: 53
Cover: 1
Implied bound: 9
Projected implied bound: 15
MIR: 19
Flow cover: 50
Inf proof: 46
Explored 8548 nodes (101245 simplex iterations) in 8.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.856239
Optimal solution found (tolerance 1.00e-02)
Best objective 8.562392768476e-01, best bound 8.632736377744e-01, gap 0.8215%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpopd5se8x.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdg6kz0in.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.857687
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.228685e+00, 591 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22868 0 66 0.85769 1.22868 43.3% - 0s
0 0 1.12191 0 65 0.85769 1.12191 30.8% - 0s
0 0 1.12191 0 65 0.85769 1.12191 30.8% - 0s
0 0 1.11573 0 69 0.85769 1.11573 30.1% - 0s
0 0 1.11559 0 69 0.85769 1.11559 30.1% - 0s
0 0 1.11510 0 82 0.85769 1.11510 30.0% - 0s
0 0 1.11510 0 58 0.85769 1.11510 30.0% - 0s
0 2 1.11510 0 57 0.85769 1.11510 30.0% - 0s
3093 781 0.93220 38 53 0.85769 0.95762 11.7% 19.4 5s
8231 967 0.87037 42 45 0.85769 0.89316 4.14% 16.9 10s
Cutting planes:
Gomory: 63
Cover: 1
Implied bound: 25
Projected implied bound: 24
MIR: 15
Flow cover: 43
Inf proof: 70
Explored 14965 nodes (203362 simplex iterations) in 14.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.857687
Optimal solution found (tolerance 1.00e-02)
Best objective 8.576869002846e-01, best bound 8.661877727227e-01, gap 0.9911%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnj01klnn.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwtfhlv_s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.846602
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.193608e+00, 629 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19361 0 69 0.84660 1.19361 41.0% - 0s
0 0 1.11072 0 67 0.84660 1.11072 31.2% - 0s
0 0 1.11072 0 67 0.84660 1.11072 31.2% - 0s
0 0 1.08052 0 75 0.84660 1.08052 27.6% - 0s
0 0 1.08031 0 76 0.84660 1.08031 27.6% - 0s
0 0 1.07874 0 87 0.84660 1.07874 27.4% - 0s
0 0 1.07855 0 87 0.84660 1.07855 27.4% - 0s
0 0 1.07848 0 86 0.84660 1.07848 27.4% - 0s
0 0 1.07848 0 77 0.84660 1.07848 27.4% - 0s
0 2 1.07848 0 77 0.84660 1.07848 27.4% - 0s
2954 903 0.92103 27 68 0.84660 0.96713 14.2% 16.5 5s
H 4359 1239 0.8470266 0.95412 12.6% 16.2 7s
7189 1676 cutoff 29 0.84703 0.93559 10.5% 16.1 10s
H10147 1936 0.8470266 0.92257 8.92% 16.9 14s
10491 1919 cutoff 30 0.84703 0.92117 8.75% 16.9 15s
15238 1506 infeasible 31 0.84703 0.89466 5.62% 17.6 20s
20183 362 cutoff 52 0.84703 0.85893 1.41% 17.2 25s
Cutting planes:
Gomory: 55
Cover: 2
Implied bound: 14
Projected implied bound: 27
MIR: 18
Flow cover: 59
Inf proof: 88
Explored 20675 nodes (354355 simplex iterations) in 25.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.847027 0.847027 0.846602
Optimal solution found (tolerance 1.00e-02)
Best objective 8.470265894608e-01, best bound 8.541826142869e-01, gap 0.8448%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnseo1lr_.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4me9u161.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.840797
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.197611e+00, 648 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19761 0 66 0.84080 1.19761 42.4% - 0s
0 0 1.10618 0 76 0.84080 1.10618 31.6% - 0s
0 0 1.10613 0 76 0.84080 1.10613 31.6% - 0s
0 0 1.09238 0 94 0.84080 1.09238 29.9% - 0s
0 0 1.09211 0 94 0.84080 1.09211 29.9% - 0s
0 0 1.09203 0 93 0.84080 1.09203 29.9% - 0s
0 0 1.09203 0 74 0.84080 1.09203 29.9% - 0s
0 2 1.09203 0 73 0.84080 1.09203 29.9% - 0s
3207 1034 cutoff 39 0.84080 0.96280 14.5% 18.7 5s
H 4299 1201 0.8470452 0.95173 12.4% 19.3 6s
H 4678 1234 0.8528906 0.95060 11.5% 19.3 6s
5814 1448 cutoff 26 0.85289 0.94392 10.7% 19.8 10s
9184 1726 0.89293 38 63 0.85289 0.92540 8.50% 21.7 15s
12051 1548 0.87095 41 76 0.85289 0.90740 6.39% 22.8 20s
16167 885 0.86792 39 60 0.85289 0.87057 2.07% 22.0 25s
Cutting planes:
Gomory: 56
Cover: 3
Implied bound: 24
Projected implied bound: 25
MIR: 16
Flow cover: 52
Inf proof: 105
Explored 18294 nodes (380583 simplex iterations) in 27.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.852891 0.847045 0.840797
Optimal solution found (tolerance 1.00e-02)
Best objective 8.528905999502e-01, best bound 8.607565970278e-01, gap 0.9223%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpubsraft8.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpovxp96o8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.807889
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.191698e+00, 670 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19170 0 72 0.80789 1.19170 47.5% - 0s
0 0 1.09701 0 77 0.80789 1.09701 35.8% - 0s
0 0 1.08311 0 71 0.80789 1.08311 34.1% - 0s
0 0 1.08301 0 73 0.80789 1.08301 34.1% - 0s
0 0 1.08226 0 85 0.80789 1.08226 34.0% - 0s
0 0 1.08221 0 87 0.80789 1.08221 34.0% - 0s
0 0 1.08220 0 88 0.80789 1.08220 34.0% - 0s
0 0 1.08220 0 76 0.80789 1.08220 34.0% - 0s
0 2 1.08220 0 74 0.80789 1.08220 34.0% - 0s
2679 1069 infeasible 54 0.80789 0.97224 20.3% 18.3 5s
H 3371 1374 0.8093747 0.96814 19.6% 18.3 6s
H 4642 1789 0.8290281 0.96099 15.9% 19.1 8s
5569 2054 0.85343 33 66 0.82903 0.95553 15.3% 20.0 10s
H 8283 2844 0.8302074 0.94272 13.6% 21.4 14s
8567 2900 cutoff 38 0.83021 0.94160 13.4% 21.5 15s
12426 3849 0.84882 44 60 0.83021 0.93199 12.3% 22.1 20s
H13041 4034 0.8327297 0.93119 11.8% 22.0 21s
14906 4423 0.91609 35 69 0.83273 0.92786 11.4% 22.2 25s
18989 5336 0.90559 33 65 0.83273 0.92210 10.7% 22.3 30s
20768 5706 0.87718 36 76 0.83273 0.92015 10.5% 22.4 39s
20771 5708 0.91753 34 89 0.83273 0.92015 10.5% 22.4 40s
20786 5718 0.88769 36 134 0.83273 0.92015 10.5% 22.4 45s
20796 5725 0.91479 37 136 0.83273 0.92015 10.5% 22.4 50s
20807 5732 0.84926 44 151 0.83273 0.92015 10.5% 22.4 55s
20817 5739 0.85937 39 140 0.83273 0.92015 10.5% 22.4 60s
20829 5747 0.87808 30 141 0.83273 0.92015 10.5% 22.4 65s
20839 5756 0.92015 25 121 0.83273 0.92015 10.5% 22.8 70s
H21095 5536 0.8327298 0.92015 10.5% 23.0 75s
22058 5709 infeasible 35 0.83273 0.91100 9.40% 24.2 80s
23277 5713 0.88688 39 106 0.83273 0.90178 8.29% 25.8 85s
24589 5708 0.84207 57 86 0.83273 0.89860 7.91% 27.6 90s
25919 5708 0.86501 42 101 0.83273 0.89482 7.46% 29.3 97s
26379 5686 0.84660 42 108 0.83273 0.89357 7.31% 29.8 100s
27698 5652 0.88306 35 113 0.83273 0.89083 6.98% 31.0 105s
29247 5541 cutoff 43 0.83273 0.88811 6.65% 32.6 111s
30869 5278 cutoff 43 0.83273 0.88506 6.28% 34.0 116s
32147 5092 0.85588 45 104 0.83273 0.88283 6.02% 35.0 120s
33790 4811 0.84679 41 99 0.83273 0.88072 5.76% 36.2 126s
34727 4660 0.84563 46 101 0.83273 0.87926 5.59% 36.9 131s
36057 4378 0.87675 40 108 0.83273 0.87752 5.38% 37.7 135s
37713 4107 0.84513 53 70 0.83273 0.87483 5.06% 38.8 140s
39343 4212 0.87244 45 83 0.83273 0.87244 4.77% 39.9 146s
40563 4281 0.85245 42 94 0.83273 0.87065 4.55% 40.5 150s
42240 4323 0.86483 41 115 0.83273 0.86841 4.29% 41.3 155s
43579 4344 0.83693 63 66 0.83273 0.86687 4.10% 41.8 160s
45221 4294 0.86405 48 94 0.83273 0.86431 3.79% 42.6 165s
46383 4250 0.84887 46 83 0.83273 0.86294 3.63% 43.2 170s
48027 4194 0.86020 47 102 0.83273 0.86098 3.39% 43.7 175s
49746 4199 cutoff 43 0.83273 0.85907 3.16% 44.1 180s
51527 4250 0.84206 42 91 0.83273 0.85765 2.99% 44.3 186s
53210 4231 0.84415 44 101 0.83273 0.85589 2.78% 44.6 190s
54775 4062 cutoff 43 0.83273 0.85437 2.60% 44.9 195s
56378 3869 0.83883 56 98 0.83273 0.85236 2.36% 44.9 200s
57962 3752 infeasible 49 0.83273 0.85050 2.13% 44.9 207s
H58066 3754 0.8327298 0.85049 2.13% 45.0 207s
58768 3468 0.84758 67 55 0.83273 0.84901 1.95% 45.1 210s
60696 3316 0.84594 75 31 0.83273 0.84670 1.68% 44.8 215s
62924 3197 cutoff 77 0.83273 0.84464 1.43% 44.2 220s
63905 3054 infeasible 100 0.83273 0.84390 1.34% 43.9 225s
Cutting planes:
Gomory: 135
Cover: 8
Implied bound: 48
Projected implied bound: 63
Clique: 1
MIR: 102
Flow cover: 426
Inf proof: 155
Zero half: 1
Explored 66256 nodes (2877465 simplex iterations) in 229.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.83273 0.83273 0.83273 ... 0.807889
Optimal solution found (tolerance 1.00e-02)
Best objective 8.327297488141e-01, best bound 8.409417946554e-01, gap 0.9862%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0nauh_74.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpta4l512p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.795399
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.182928e+00, 711 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18293 0 71 0.79540 1.18293 48.7% - 0s
0 0 1.08787 0 79 0.79540 1.08787 36.8% - 0s
0 0 1.08787 0 79 0.79540 1.08787 36.8% - 0s
0 0 1.07558 0 83 0.79540 1.07558 35.2% - 0s
0 0 1.07483 0 94 0.79540 1.07483 35.1% - 0s
0 0 1.07276 0 99 0.79540 1.07276 34.9% - 0s
0 0 1.07275 0 100 0.79540 1.07275 34.9% - 0s
0 0 1.07267 0 102 0.79540 1.07267 34.9% - 0s
0 0 1.07267 0 80 0.79540 1.07267 34.9% - 0s
0 2 1.07267 0 78 0.79540 1.07267 34.9% - 0s
2486 671 0.87126 41 67 0.79540 0.96323 21.1% 20.4 5s
H 5917 1805 0.7990151 0.92413 15.7% 19.4 9s
6416 1885 cutoff 35 0.79902 0.91979 15.1% 19.6 10s
H 9527 2489 0.7990151 0.89098 11.5% 20.3 13s
H 9540 2422 0.8029227 0.89080 10.9% 20.3 13s
10196 2437 cutoff 39 0.80292 0.88650 10.4% 20.6 15s
H13881 2833 0.8054690 0.86552 7.46% 20.2 19s
H13883 2390 0.8141524 0.86552 6.31% 20.2 19s
13917 2327 cutoff 51 0.81415 0.86512 6.26% 20.2 20s
18227 2463 cutoff 49 0.81415 0.84770 4.12% 19.7 25s
23095 2327 0.83524 46 69 0.81415 0.83524 2.59% 19.0 30s
H26594 2123 0.8141524 0.82804 1.71% 18.5 34s
27131 1927 cutoff 65 0.81415 0.82688 1.56% 18.5 35s
Cutting planes:
Gomory: 66
Cover: 4
Implied bound: 31
Projected implied bound: 33
MIR: 22
Flow cover: 58
Inf proof: 181
Explored 29905 nodes (547336 simplex iterations) in 37.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.814152 0.814152 0.805469 ... 0.795399
Optimal solution found (tolerance 1.00e-02)
Best objective 8.141523677229e-01, best bound 8.216145515473e-01, gap 0.9166%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprk5v2s9s.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy4mn7y45.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.811711
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.178425e+00, 683 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17843 0 75 0.81171 1.17843 45.2% - 0s
0 0 1.09488 0 70 0.81171 1.09488 34.9% - 0s
0 0 1.06924 0 94 0.81171 1.06924 31.7% - 0s
0 0 1.06883 0 91 0.81171 1.06883 31.7% - 0s
0 0 1.06543 0 108 0.81171 1.06543 31.3% - 0s
0 0 1.06528 0 110 0.81171 1.06528 31.2% - 0s
0 0 1.06526 0 112 0.81171 1.06526 31.2% - 0s
0 0 1.06526 0 85 0.81171 1.06526 31.2% - 0s
0 2 1.06526 0 84 0.81171 1.06526 31.2% - 0s
2595 1055 0.89512 32 66 0.81171 0.95922 18.2% 18.5 5s
7573 2535 cutoff 30 0.81171 0.89957 10.8% 17.9 10s
H 8762 2663 0.8166557 0.89425 9.50% 17.9 12s
11044 2777 0.81783 34 78 0.81666 0.88393 8.24% 18.2 15s
15033 2673 0.85637 46 53 0.81666 0.86401 5.80% 18.7 20s
*19268 2801 105 0.8184898 0.84980 3.82% 18.2 24s
19562 2889 0.83072 61 53 0.81849 0.84933 3.77% 18.2 25s
21340 2862 infeasible 45 0.81849 0.84546 3.30% 17.9 35s
25828 2620 cutoff 63 0.81849 0.83546 2.07% 17.9 40s
29666 1754 cutoff 43 0.81849 0.82862 1.24% 17.9 45s
Cutting planes:
Gomory: 79
Cover: 2
Implied bound: 20
Projected implied bound: 33
MIR: 17
Flow cover: 92
Inf proof: 147
Explored 30536 nodes (547666 simplex iterations) in 45.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.81849 0.816656 0.811711
Optimal solution found (tolerance 1.00e-02)
Best objective 8.184898038255e-01, best bound 8.265349657560e-01, gap 0.9829%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7bfn1fam.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0l20hmzv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812841
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.166933e+00, 734 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16693 0 79 0.81284 1.16693 43.6% - 0s
0 0 1.08822 0 69 0.81284 1.08822 33.9% - 0s
0 0 1.06339 0 88 0.81284 1.06339 30.8% - 0s
0 0 1.06326 0 88 0.81284 1.06326 30.8% - 0s
0 0 1.06201 0 102 0.81284 1.06201 30.7% - 0s
0 0 1.06194 0 106 0.81284 1.06194 30.6% - 0s
0 0 1.06191 0 108 0.81284 1.06191 30.6% - 0s
0 0 1.06191 0 93 0.81284 1.06191 30.6% - 0s
0 2 1.06191 0 91 0.81284 1.06191 30.6% - 0s
2066 919 0.87004 30 89 0.81284 0.97952 20.5% 21.3 5s
H 4745 1984 0.8128407 0.94928 16.8% 23.7 9s
5017 2041 0.92500 18 79 0.81284 0.94767 16.6% 23.9 10s
H 6154 2381 0.8128407 0.94251 16.0% 24.7 12s
7611 2673 0.83332 28 83 0.81284 0.93458 15.0% 25.8 15s
9760 2952 cutoff 31 0.81284 0.92570 13.9% 26.9 20s
12987 3252 0.84803 28 78 0.81284 0.91446 12.5% 28.2 25s
15915 3447 cutoff 26 0.81284 0.90288 11.1% 29.2 30s
18933 3760 0.83131 26 88 0.81284 0.89383 10.0% 29.0 35s
20691 3946 0.86976 27 93 0.81284 0.88933 9.41% 28.8 47s
20705 3955 0.83374 29 128 0.81284 0.88933 9.41% 28.8 50s
20719 3965 0.83636 44 144 0.81284 0.88933 9.41% 28.8 55s
20731 3973 0.86397 30 139 0.81284 0.88933 9.41% 28.8 60s
20740 3979 0.81391 23 154 0.81284 0.88933 9.41% 28.7 65s
20751 3986 0.88192 28 155 0.81284 0.88933 9.41% 28.7 70s
20763 3994 0.87590 30 151 0.81284 0.88933 9.41% 28.7 75s
20772 4000 0.85474 32 163 0.81284 0.88933 9.41% 28.7 80s
20783 4007 0.86285 25 164 0.81284 0.88933 9.41% 28.7 85s
20794 4015 0.81336 49 163 0.81284 0.88933 9.41% 28.7 90s
20805 4022 0.83374 29 172 0.81284 0.88933 9.41% 28.7 95s
20814 4028 0.86178 30 169 0.81284 0.88933 9.41% 28.6 100s
20822 4033 0.82261 46 163 0.81284 0.88933 9.41% 28.6 105s
20830 4039 0.85195 23 173 0.81284 0.88933 9.41% 28.6 110s
20840 4045 0.81391 23 173 0.81284 0.88933 9.41% 28.6 115s
20850 4052 0.85400 31 167 0.81284 0.88933 9.41% 28.6 120s
20859 4058 0.87970 23 166 0.81284 0.88933 9.41% 28.6 125s
20866 4063 0.87577 26 142 0.81284 0.88933 9.41% 28.6 130s
20874 4068 0.82831 38 147 0.81284 0.88933 9.41% 28.6 135s
20882 4073 0.84251 55 142 0.81284 0.88933 9.41% 28.5 140s
20893 4081 0.87351 25 150 0.81284 0.88933 9.41% 28.5 145s
20904 4088 0.82851 40 144 0.81284 0.88933 9.41% 28.5 150s
20912 4095 0.87615 22 139 0.81284 0.88925 9.40% 29.9 156s
20969 4112 0.81878 31 99 0.81284 0.88434 8.80% 30.1 160s
21583 4179 0.83940 35 114 0.81284 0.87555 7.71% 31.1 165s
22703 4281 0.85272 36 126 0.81284 0.86623 6.57% 32.4 170s
23392 4198 infeasible 37 0.81284 0.86185 6.03% 33.6 175s
24435 4066 0.82606 44 111 0.81284 0.85711 5.45% 35.4 180s
25503 3995 0.84352 43 105 0.81284 0.85356 5.01% 36.7 185s
26623 3796 0.83147 53 87 0.81284 0.84975 4.54% 37.9 190s
27990 3668 cutoff 44 0.81284 0.84648 4.14% 39.0 195s
29576 3295 0.82060 54 73 0.81284 0.84357 3.78% 40.0 202s
30380 3033 cutoff 39 0.81284 0.84081 3.44% 40.6 205s
31680 2629 0.81322 44 103 0.81284 0.83781 3.07% 41.5 211s
33162 2134 cutoff 48 0.81284 0.83535 2.77% 42.0 215s
34443 2057 0.82213 55 84 0.81284 0.83221 2.38% 42.3 220s
36588 2000 cutoff 54 0.81284 0.82863 1.94% 42.5 225s
38182 1790 0.81979 73 60 0.81284 0.82568 1.58% 42.4 230s
40245 1329 cutoff 41 0.81284 0.82124 1.03% 42.2 235s
Cutting planes:
Gomory: 125
Cover: 5
Implied bound: 42
Projected implied bound: 43
MIR: 170
StrongCG: 2
Flow cover: 467
Inf proof: 102
Zero half: 1
Explored 40419 nodes (1708195 simplex iterations) in 235.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.812841 0.812841 0.812841
Optimal solution found (tolerance 1.00e-02)
Best objective 8.128407229798e-01, best bound 8.207825990485e-01, gap 0.9771%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcap6zcxo.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpifz9lox0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.79014
Presolve removed 536 rows and 348 columns
Presolve time: 0.01s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.132314e+00, 784 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13231 0 76 0.79014 1.13231 43.3% - 0s
0 0 1.04882 0 84 0.79014 1.04882 32.7% - 0s
0 0 1.03982 0 88 0.79014 1.03982 31.6% - 0s
0 0 1.03932 0 88 0.79014 1.03932 31.5% - 0s
0 0 1.03816 0 103 0.79014 1.03816 31.4% - 0s
0 0 1.03811 0 105 0.79014 1.03811 31.4% - 0s
0 0 1.03809 0 105 0.79014 1.03809 31.4% - 0s
0 0 1.03809 0 83 0.79014 1.03809 31.4% - 0s
0 2 1.03809 0 82 0.79014 1.03809 31.4% - 0s
2005 806 0.91982 25 80 0.79014 0.94674 19.8% 22.0 5s
5212 2059 0.85587 33 78 0.79014 0.90882 15.0% 23.1 10s
H 6816 2462 0.7901403 0.89757 13.6% 23.9 13s
7534 2538 0.81797 35 80 0.79014 0.89321 13.0% 24.1 15s
10345 2925 0.80079 38 72 0.79014 0.87987 11.4% 24.7 20s
13448 3204 0.80558 38 77 0.79014 0.87164 10.3% 25.1 25s
16967 3488 infeasible 41 0.79014 0.86118 8.99% 25.0 30s
19645 3631 infeasible 29 0.79014 0.85606 8.34% 25.0 35s
20870 3711 0.80014 35 82 0.79014 0.85360 8.03% 25.0 46s
23393 3800 0.79444 37 69 0.79014 0.84897 7.45% 25.6 50s
26298 3871 0.83757 36 93 0.79014 0.84307 6.70% 26.4 55s
28891 3916 infeasible 38 0.79014 0.83825 6.09% 27.1 60s
31942 3805 0.79832 39 102 0.79014 0.83202 5.30% 27.7 65s
34734 3777 0.82372 44 76 0.79014 0.82691 4.65% 27.9 70s
37610 3574 cutoff 34 0.79014 0.82129 3.94% 28.1 75s
40294 3387 0.81438 56 55 0.79014 0.81650 3.34% 28.1 80s
43288 2791 cutoff 59 0.79014 0.80984 2.49% 28.1 85s
46747 2150 cutoff 46 0.79014 0.80322 1.66% 27.6 90s
Cutting planes:
Gomory: 102
Cover: 4
Implied bound: 60
Projected implied bound: 49
MIR: 27
Flow cover: 104
Inf proof: 220
Explored 49381 nodes (1350017 simplex iterations) in 93.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.79014 0.79014
Optimal solution found (tolerance 1.00e-02)
Best objective 7.901402858294e-01, best bound 7.979004573426e-01, gap 0.9821%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0lstfmt7.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprvqglqdy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.779148
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.108069e+00, 742 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10807 0 78 0.77915 1.10807 42.2% - 0s
0 0 1.03008 0 81 0.77915 1.03008 32.2% - 0s
0 0 1.03005 0 81 0.77915 1.03005 32.2% - 0s
0 0 1.02514 0 90 0.77915 1.02514 31.6% - 0s
0 0 1.02511 0 90 0.77915 1.02511 31.6% - 0s
0 0 1.02253 0 96 0.77915 1.02253 31.2% - 0s
0 0 1.02253 0 96 0.77915 1.02253 31.2% - 0s
0 0 1.02075 0 97 0.77915 1.02075 31.0% - 0s
0 0 1.02072 0 98 0.77915 1.02072 31.0% - 0s
0 0 1.02057 0 94 0.77915 1.02057 31.0% - 0s
0 0 1.02057 0 80 0.77915 1.02057 31.0% - 0s
0 2 1.02057 0 75 0.77915 1.02057 31.0% - 0s
1747 692 0.83003 29 71 0.77915 0.94933 21.8% 25.2 5s
4387 1222 0.85323 27 85 0.77915 0.90823 16.6% 29.1 10s
6206 1453 0.84408 23 90 0.77915 0.89194 14.5% 30.3 15s
9066 1630 0.86454 24 91 0.77915 0.86798 11.4% 30.5 20s
11040 1530 cutoff 31 0.77915 0.84955 9.04% 30.7 25s
H13242 1571 0.7791483 0.83512 7.18% 29.9 29s
H13245 1571 0.7791483 0.83449 7.10% 29.9 29s
13280 1491 0.81667 32 80 0.77915 0.83276 6.88% 29.9 30s
16167 1568 0.81833 35 77 0.77915 0.81999 5.24% 28.3 35s
20206 1746 0.80203 42 82 0.77915 0.80391 3.18% 26.1 40s
24182 1631 cutoff 60 0.77915 0.79363 1.86% 24.3 45s
Cutting planes:
Gomory: 93
Cover: 1
Implied bound: 27
Projected implied bound: 42
MIR: 7
Flow cover: 78
Inf proof: 151
Explored 28572 nodes (643392 simplex iterations) in 49.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.779148 0.779148 0.779148
Optimal solution found (tolerance 1.00e-02)
Best objective 7.791483036043e-01, best bound 7.868358564693e-01, gap 0.9867%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9mzseqkx.pyomo.lp
Reading time = 0.00 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpls8hfzv2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.776726
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.105243e+00, 804 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10524 0 82 0.77673 1.10524 42.3% - 0s
0 0 1.02579 0 92 0.77673 1.02579 32.1% - 0s
0 0 1.01096 0 88 0.77673 1.01096 30.2% - 0s
0 0 1.01093 0 88 0.77673 1.01093 30.2% - 0s
0 0 1.01077 0 102 0.77673 1.01077 30.1% - 0s
0 0 1.01077 0 84 0.77673 1.01077 30.1% - 0s
0 2 1.01077 0 83 0.77673 1.01077 30.1% - 0s
1680 681 cutoff 46 0.77673 0.93266 20.1% 21.7 5s
4359 1490 0.85322 31 90 0.77673 0.89247 14.9% 23.2 10s
6932 2137 infeasible 35 0.77673 0.86935 11.9% 23.8 15s
9321 2592 0.80865 31 96 0.77673 0.85662 10.3% 24.6 20s
12503 3257 0.83052 27 106 0.77673 0.84555 8.86% 24.1 25s
H12852 3347 0.7767259 0.84502 8.79% 24.1 26s
15020 3842 cutoff 33 0.77673 0.84096 8.27% 23.8 31s
16828 4041 0.81718 34 80 0.77673 0.83662 7.71% 24.0 35s
19416 4322 cutoff 47 0.77673 0.83089 6.97% 24.3 40s
20546 4444 0.81624 36 84 0.77673 0.82812 6.62% 24.3 52s
20560 4453 0.80532 30 140 0.77673 0.82812 6.62% 24.3 55s
20572 4461 0.80886 28 156 0.77673 0.82812 6.62% 24.3 60s
20584 4469 0.80554 46 156 0.77673 0.82812 6.62% 24.3 65s
20594 4476 0.77905 77 169 0.77673 0.82812 6.62% 24.3 70s
20604 4483 0.79120 48 172 0.77673 0.82812 6.62% 24.2 75s
20613 4489 0.81950 34 168 0.77673 0.82812 6.62% 24.2 80s
20622 4495 0.78665 42 168 0.77673 0.82812 6.62% 24.2 85s
20632 4501 0.81707 40 167 0.77673 0.82812 6.62% 24.2 90s
20639 4504 0.82812 28 163 0.77673 0.82812 6.62% 24.9 96s
20643 4504 infeasible 31 0.77673 0.82812 6.62% 25.0 100s
20650 4507 0.82812 35 156 0.77673 0.82812 6.62% 25.0 105s
20964 4584 0.82812 38 151 0.77673 0.82812 6.62% 25.7 110s
21521 4685 0.82812 41 138 0.77673 0.82812 6.62% 26.8 115s
22187 4683 0.81418 44 134 0.77673 0.82812 6.62% 29.0 120s
23080 4638 0.79547 81 79 0.77673 0.82812 6.62% 31.0 126s
23673 4569 cutoff 49 0.77673 0.82779 6.57% 32.5 130s
24665 4447 0.80687 47 113 0.77673 0.82509 6.23% 34.9 135s
25232 4393 0.78323 51 110 0.77673 0.82229 5.87% 35.7 140s
25977 4335 0.80669 42 138 0.77673 0.82042 5.62% 36.8 145s
26774 4246 cutoff 57 0.77673 0.81843 5.37% 38.1 150s
27120 4248 0.81446 60 110 0.77673 0.81777 5.28% 38.4 155s
27938 4083 0.79687 52 120 0.77673 0.81551 4.99% 40.1 161s
28883 3931 0.80330 50 111 0.77673 0.81356 4.74% 41.4 166s
29752 3819 0.78757 51 124 0.77673 0.81167 4.50% 42.3 171s
30737 3618 cutoff 67 0.77673 0.80983 4.26% 43.2 175s
31597 3510 0.79116 50 133 0.77673 0.80847 4.09% 44.0 180s
32567 3331 infeasible 57 0.77673 0.80739 3.95% 44.9 185s
33645 3152 cutoff 67 0.77673 0.80577 3.74% 45.6 190s
35086 3168 0.78968 53 123 0.77673 0.80355 3.45% 46.5 196s
36126 3288 cutoff 62 0.77673 0.80237 3.30% 46.9 201s
37098 3339 cutoff 67 0.77673 0.80103 3.13% 47.5 205s
38457 3399 0.77714 46 117 0.77673 0.79891 2.86% 48.0 211s
39906 3467 0.78420 47 141 0.77673 0.79718 2.63% 48.3 216s
40831 3541 0.79105 50 124 0.77673 0.79648 2.54% 48.5 220s
42167 3600 0.79453 104 57 0.77673 0.79483 2.33% 48.8 225s
43467 3605 0.78866 71 73 0.77673 0.79343 2.15% 48.9 230s
44714 3639 0.79210 91 76 0.77673 0.79227 2.00% 49.0 235s
46371 3738 0.79157 93 72 0.77673 0.79157 1.91% 48.6 240s
48454 3862 0.78992 51 114 0.77673 0.79014 1.73% 48.1 246s
49790 3890 cutoff 53 0.77673 0.78925 1.61% 47.9 250s
51553 3959 0.77725 74 101 0.77673 0.78830 1.49% 47.6 255s
52883 4001 0.78495 91 68 0.77673 0.78764 1.41% 47.3 260s
55022 4082 cutoff 46 0.77673 0.78674 1.29% 46.6 265s
56448 4017 cutoff 90 0.77673 0.78610 1.21% 46.3 270s
58589 4140 0.78477 90 57 0.77673 0.78539 1.11% 45.7 275s
60737 4031 cutoff 107 0.77673 0.78462 1.02% 45.2 280s
Cutting planes:
Gomory: 155
Cover: 13
Implied bound: 41
Projected implied bound: 59
MIR: 183
StrongCG: 3
Flow cover: 620
Inf proof: 163
Explored 61521 nodes (2771627 simplex iterations) in 281.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.776726 0.776726
Optimal solution found (tolerance 1.00e-02)
Best objective 7.767259489572e-01, best bound 7.842995254986e-01, gap 0.9751%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpai2k7rsr.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdutxujkw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.774099
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.098726e+00, 831 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09873 0 83 0.77410 1.09873 41.9% - 0s
0 0 1.02285 0 91 0.77410 1.02285 32.1% - 0s
0 0 1.02282 0 91 0.77410 1.02282 32.1% - 0s
0 0 1.01038 0 102 0.77410 1.01038 30.5% - 0s
0 0 1.01028 0 97 0.77410 1.01028 30.5% - 0s
0 0 1.00983 0 104 0.77410 1.00983 30.5% - 0s
0 0 1.00982 0 104 0.77410 1.00982 30.5% - 0s
0 0 1.00949 0 102 0.77410 1.00949 30.4% - 0s
0 0 1.00949 0 84 0.77410 1.00949 30.4% - 0s
0 2 1.00949 0 82 0.77410 1.00949 30.4% - 0s
1468 669 0.82414 37 100 0.77410 0.95039 22.8% 26.0 5s
3978 1530 0.86376 29 103 0.77410 0.92784 19.9% 27.8 10s
5539 1945 0.81752 38 89 0.77410 0.91219 17.8% 29.9 15s
7861 2427 infeasible 31 0.77410 0.89627 15.8% 31.5 20s
9718 2582 0.86492 30 99 0.77410 0.88010 13.7% 33.6 26s
11334 2632 infeasible 36 0.77410 0.86718 12.0% 33.9 30s
13609 2892 0.79663 48 77 0.77410 0.85223 10.1% 33.1 35s
17150 3583 0.82796 50 75 0.77410 0.84046 8.57% 30.8 40s
20783 4124 cutoff 30 0.77410 0.83179 7.45% 29.4 54s
21211 4177 0.79227 55 76 0.77410 0.83081 7.33% 29.3 55s
24251 4504 0.79966 37 93 0.77410 0.82715 6.85% 28.9 60s
27513 4966 0.80341 32 112 0.77410 0.82382 6.42% 28.2 65s
31031 5347 0.78812 48 75 0.77410 0.81997 5.93% 27.7 70s
33908 5624 0.80356 53 71 0.77410 0.81768 5.63% 27.4 75s
37288 5891 0.78877 42 79 0.77410 0.81488 5.27% 27.1 80s
40528 6096 0.80069 54 80 0.77410 0.81249 4.96% 26.8 85s
43324 6247 cutoff 50 0.77410 0.81024 4.67% 26.8 90s
46471 6298 cutoff 43 0.77410 0.80816 4.40% 26.8 95s
48776 6228 0.78741 50 94 0.77410 0.80651 4.19% 26.9 100s
51993 6207 cutoff 70 0.77410 0.80414 3.88% 27.0 106s
54025 6047 0.79919 52 88 0.77410 0.80255 3.68% 27.0 110s
56840 5960 0.78675 71 59 0.77410 0.80069 3.44% 27.0 115s
60154 5904 cutoff 67 0.77410 0.79842 3.14% 27.0 120s
63360 5767 0.78542 72 68 0.77410 0.79658 2.90% 26.9 125s
66501 5571 0.77801 52 77 0.77410 0.79456 2.64% 26.8 130s
69910 5703 cutoff 70 0.77410 0.79256 2.38% 26.6 135s
73015 5385 0.78210 42 94 0.77410 0.79061 2.13% 26.5 140s
76332 5078 0.78856 95 58 0.77410 0.78881 1.90% 26.3 145s
79279 4735 cutoff 73 0.77410 0.78721 1.69% 26.1 150s
81955 4176 cutoff 47 0.77410 0.78548 1.47% 26.1 155s
85254 3284 0.78240 81 46 0.77410 0.78294 1.14% 26.0 160s
Cutting planes:
Gomory: 109
Implied bound: 40
Projected implied bound: 54
MIR: 21
Flow cover: 131
Inf proof: 293
Explored 86864 nodes (2245286 simplex iterations) in 162.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.774099
Optimal solution found (tolerance 1.00e-02)
Best objective 7.740988174165e-01, best bound 7.818015045802e-01, gap 0.9951%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpahx89vp0.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpapix5611.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.762132
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.091960e+00, 890 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09196 0 88 0.76213 1.09196 43.3% - 0s
0 0 1.02189 0 82 0.76213 1.02189 34.1% - 0s
0 0 1.02186 0 82 0.76213 1.02186 34.1% - 0s
0 0 1.01198 0 102 0.76213 1.01198 32.8% - 0s
0 0 1.01152 0 92 0.76213 1.01152 32.7% - 0s
0 0 1.01088 0 96 0.76213 1.01088 32.6% - 0s
0 0 1.01086 0 97 0.76213 1.01086 32.6% - 0s
0 0 1.01085 0 98 0.76213 1.01085 32.6% - 0s
0 0 1.01085 0 86 0.76213 1.01085 32.6% - 0s
0 2 1.01085 0 83 0.76213 1.01085 32.6% - 0s
1410 691 0.91417 27 101 0.76213 0.95079 24.8% 24.7 5s
3714 1409 0.78205 41 96 0.76213 0.91204 19.7% 26.9 10s
6172 2083 cutoff 41 0.76213 0.89227 17.1% 29.5 15s
8687 2708 cutoff 44 0.76213 0.88013 15.5% 29.9 20s
10919 3340 0.77511 43 101 0.76213 0.87270 14.5% 29.8 26s
12137 3621 cutoff 43 0.76213 0.86928 14.1% 30.4 30s
H12989 3754 0.7661978 0.86721 13.2% 30.4 33s
13046 3775 cutoff 50 0.76620 0.86677 13.1% 30.5 36s
H13048 3715 0.7694068 0.86677 12.7% 30.5 36s
13996 3821 0.81446 47 82 0.76941 0.86435 12.3% 30.9 40s
15437 4064 0.81410 42 90 0.76941 0.86084 11.9% 31.5 45s
16623 4254 infeasible 35 0.76941 0.85830 11.6% 32.2 50s
17859 4462 cutoff 38 0.76941 0.85596 11.2% 32.7 55s
19323 4690 cutoff 38 0.76941 0.85355 10.9% 33.0 60s
20835 4929 0.81356 46 86 0.76941 0.85153 10.7% 33.3 74s
20837 4930 0.79557 37 77 0.76941 0.85153 10.7% 33.3 75s
20851 4940 0.84385 46 125 0.76941 0.85153 10.7% 33.2 80s
20860 4946 0.77232 67 158 0.76941 0.85153 10.7% 33.2 85s
20870 4952 0.83648 42 158 0.76941 0.85153 10.7% 33.2 90s
20877 4957 0.84025 32 172 0.76941 0.85153 10.7% 33.2 95s
20886 4963 0.80322 76 166 0.76941 0.85153 10.7% 33.2 100s
20894 4968 0.79351 50 168 0.76941 0.85153 10.7% 33.2 105s
20904 4975 0.80850 38 168 0.76941 0.85153 10.7% 33.1 110s
20912 4980 0.82859 33 174 0.76941 0.85153 10.7% 33.1 115s
20919 4985 0.79037 50 168 0.76941 0.85153 10.7% 33.1 120s
20926 4990 0.78741 88 151 0.76941 0.85153 10.7% 33.1 125s
20934 4995 0.80046 41 172 0.76941 0.85153 10.7% 33.1 130s
20941 5000 0.84005 42 178 0.76941 0.85153 10.7% 33.1 135s
20951 5006 0.84385 46 181 0.76941 0.85153 10.7% 33.1 140s
20958 5011 0.77965 64 171 0.76941 0.85153 10.7% 33.1 145s
20963 5014 0.78831 43 181 0.76941 0.85153 10.7% 33.1 150s
20967 5017 0.81949 40 181 0.76941 0.85153 10.7% 33.0 155s
20972 5020 0.83314 30 176 0.76941 0.85153 10.7% 33.0 160s
20977 5024 0.84025 32 179 0.76941 0.85153 10.7% 33.0 165s
20983 5028 0.83500 44 180 0.76941 0.85153 10.7% 33.0 170s
H20985 4775 0.7694068 0.85153 10.7% 33.0 173s
20988 4777 0.79217 45 186 0.76941 0.85153 10.7% 33.0 175s
20995 4782 0.79055 47 163 0.76941 0.85153 10.7% 33.0 181s
21002 4786 0.80003 38 178 0.76941 0.85153 10.7% 33.0 185s
21009 4791 0.81821 41 176 0.76941 0.85153 10.7% 33.0 191s
21015 4795 0.83747 35 178 0.76941 0.85153 10.7% 33.0 195s
21023 4800 0.79203 64 177 0.76941 0.85153 10.7% 33.0 200s
21027 4804 infeasible 28 0.76941 0.85153 10.7% 34.6 205s
21031 4803 infeasible 30 0.76941 0.85094 10.6% 34.6 210s
21037 4805 0.83645 32 153 0.76941 0.85054 10.5% 34.7 215s
21304 4883 0.77520 40 137 0.76941 0.84570 9.92% 35.1 220s
*21340 4646 137 0.7694068 0.84570 9.92% 35.1 220s
21999 4743 0.78735 40 131 0.76941 0.83486 8.51% 36.9 225s
22547 4801 0.82955 39 150 0.76941 0.83223 8.17% 38.4 230s
23088 4874 cutoff 45 0.76941 0.83060 7.95% 40.1 235s
23748 4946 0.77065 72 86 0.76941 0.82911 7.76% 42.0 240s
24297 5014 0.79799 45 127 0.76941 0.82835 7.66% 43.7 245s
24766 5071 0.80131 46 137 0.76941 0.82725 7.52% 45.1 250s
25298 5111 cutoff 45 0.76941 0.82638 7.40% 46.9 256s
25836 5156 0.81025 51 130 0.76941 0.82553 7.29% 48.3 260s
26382 5167 0.78458 62 110 0.76941 0.82487 7.21% 49.7 266s
27019 5158 0.81765 41 143 0.76941 0.82387 7.08% 51.3 271s
27519 5182 0.82285 47 145 0.76941 0.82312 6.98% 52.4 275s
28016 5168 cutoff 56 0.76941 0.82257 6.91% 53.4 280s
28586 5132 0.77872 54 125 0.76941 0.82181 6.81% 54.8 285s
29128 5145 cutoff 45 0.76941 0.82105 6.71% 55.8 290s
29668 5124 0.80298 49 127 0.76941 0.82027 6.61% 57.1 297s
30049 5123 cutoff 51 0.76941 0.81946 6.51% 57.8 300s
30722 5047 cutoff 41 0.76941 0.81887 6.43% 59.5 307s
31081 5038 cutoff 46 0.76941 0.81839 6.37% 60.3 312s
31397 4972 0.78750 49 146 0.76941 0.81810 6.33% 61.0 315s
32044 4876 cutoff 50 0.76941 0.81749 6.25% 62.8 322s
32427 4843 cutoff 46 0.76941 0.81722 6.21% 63.6 326s
33260 4773 cutoff 47 0.76941 0.81644 6.11% 64.9 333s
33708 4742 0.79371 56 108 0.76941 0.81613 6.07% 65.5 336s
34168 4721 cutoff 47 0.76941 0.81572 6.02% 66.2 341s
34259 4675 0.79690 60 96 0.76941 0.81560 6.00% 66.3 345s
35110 4635 0.78185 46 133 0.76941 0.81463 5.88% 67.7 352s
35517 4707 0.78978 53 110 0.76941 0.81433 5.84% 68.4 355s
36393 4892 0.78512 44 145 0.76941 0.81375 5.76% 69.5 362s
36843 4972 0.78432 45 127 0.76941 0.81341 5.72% 70.1 366s
37819 5182 0.79160 57 120 0.76941 0.81260 5.61% 70.9 372s
38303 5275 cutoff 53 0.76941 0.81218 5.56% 71.3 376s
39358 5557 0.79692 42 136 0.76941 0.81152 5.47% 71.8 383s
39808 5628 infeasible 43 0.76941 0.81109 5.42% 72.3 386s
40804 5846 0.77762 66 96 0.76941 0.81025 5.31% 72.8 392s
41206 5904 cutoff 51 0.76941 0.80999 5.28% 73.3 396s
41986 6003 infeasible 47 0.76941 0.80906 5.15% 74.2 402s
42257 6045 cutoff 55 0.76941 0.80891 5.13% 74.3 406s
42803 6141 0.77633 67 106 0.76941 0.80847 5.08% 74.5 410s
43755 6360 cutoff 48 0.76941 0.80794 5.01% 75.0 416s
44715 6536 0.79239 46 127 0.76941 0.80734 4.93% 75.5 423s
45257 6676 cutoff 63 0.76941 0.80705 4.89% 75.6 426s
46192 6819 0.79980 48 115 0.76941 0.80626 4.79% 76.0 432s
46580 6859 cutoff 59 0.76941 0.80596 4.75% 76.3 436s
47468 6984 0.79223 45 126 0.76941 0.80525 4.66% 76.8 441s
48337 7088 cutoff 52 0.76941 0.80474 4.59% 77.3 448s
48807 7140 0.77636 53 130 0.76941 0.80427 4.53% 77.5 451s
49839 7364 cutoff 58 0.76941 0.80364 4.45% 77.6 458s
50109 7403 0.77477 55 117 0.76941 0.80351 4.43% 77.7 461s
50552 7450 0.78359 52 124 0.76941 0.80334 4.41% 77.9 465s
51471 7545 0.79075 64 98 0.76941 0.80289 4.35% 78.2 471s
52331 7660 0.77214 43 140 0.76941 0.80249 4.30% 78.6 477s
52836 7755 0.79777 57 122 0.76941 0.80219 4.26% 78.7 480s
53781 7951 cutoff 54 0.76941 0.80168 4.19% 78.9 485s
54741 8110 cutoff 49 0.76941 0.80111 4.12% 79.1 491s
55777 8238 0.78774 57 132 0.76941 0.80060 4.05% 79.1 497s
56737 8439 0.77126 48 138 0.76941 0.80018 4.00% 79.2 503s
57200 8478 0.79131 74 102 0.76941 0.79993 3.97% 79.3 506s
58107 8670 cutoff 50 0.76941 0.79952 3.91% 79.5 511s
59156 8855 cutoff 49 0.76941 0.79919 3.87% 79.5 517s
59561 8908 infeasible 47 0.76941 0.79897 3.84% 79.6 520s
60626 9102 cutoff 55 0.76941 0.79857 3.79% 79.5 525s
61334 9166 0.77202 48 130 0.76941 0.79826 3.75% 79.6 531s
62436 9385 cutoff 58 0.76941 0.79789 3.70% 79.4 536s
63519 9595 0.79422 65 93 0.76941 0.79738 3.64% 79.3 541s
64611 9788 infeasible 64 0.76941 0.79697 3.58% 79.1 547s
65563 9938 cutoff 48 0.76941 0.79667 3.54% 79.0 551s
66367 10003 cutoff 58 0.76941 0.79617 3.48% 79.2 557s
67330 10103 0.77847 47 160 0.76941 0.79576 3.43% 79.1 561s
68221 10214 cutoff 59 0.76941 0.79535 3.37% 79.1 567s
68443 10217 0.78877 52 146 0.76941 0.79526 3.36% 79.0 570s
69346 10301 cutoff 54 0.76941 0.79486 3.31% 79.1 575s
70833 10410 0.78003 70 85 0.76941 0.79430 3.24% 78.9 582s
71699 10418 0.78280 51 107 0.76941 0.79398 3.19% 78.9 586s
72565 10496 cutoff 58 0.76941 0.79362 3.15% 79.0 591s
73512 10581 0.78172 60 134 0.76941 0.79348 3.13% 78.8 595s
74390 10601 cutoff 77 0.76941 0.79285 3.05% 78.9 600s
Cutting planes:
Gomory: 136
Cover: 4
Implied bound: 77
Projected implied bound: 44
MIR: 170
StrongCG: 1
Flow cover: 605
Inf proof: 191
Explored 74716 nodes (5898130 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.769407 0.769407 0.769407 ... 0.762132
Time limit reached
Best objective 7.694067576651e-01, best bound 7.927115528720e-01, gap 3.0289%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnfkx3pe3.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf7qy2o2w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.760727
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.071499e+00, 852 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07150 0 91 0.76073 1.07150 40.9% - 0s
0 0 1.01001 0 102 0.76073 1.01001 32.8% - 0s
0 0 1.01001 0 102 0.76073 1.01001 32.8% - 0s
0 0 1.00545 0 110 0.76073 1.00545 32.2% - 0s
0 0 1.00534 0 105 0.76073 1.00534 32.2% - 0s
0 0 1.00488 0 105 0.76073 1.00488 32.1% - 0s
0 0 1.00474 0 103 0.76073 1.00474 32.1% - 0s
0 0 1.00474 0 105 0.76073 1.00474 32.1% - 0s
0 0 1.00474 0 89 0.76073 1.00474 32.1% - 0s
0 2 1.00474 0 89 0.76073 1.00474 32.1% - 0s
1287 623 0.94165 20 98 0.76073 0.94165 23.8% 24.2 5s
3346 1209 0.85869 25 85 0.76073 0.92887 22.1% 28.5 10s
H 3360 1212 0.7607273 0.92887 22.1% 28.5 10s
5285 1728 0.83015 23 97 0.76073 0.90641 19.1% 32.5 15s
7136 2119 0.80639 27 94 0.76073 0.89039 17.0% 34.1 21s
8725 2228 0.80088 32 90 0.76073 0.87064 14.4% 35.1 25s
11023 2418 infeasible 42 0.76073 0.85340 12.2% 35.0 30s
13421 2623 0.78840 31 93 0.76073 0.83946 10.3% 35.1 35s
15510 2875 cutoff 32 0.76073 0.82902 8.98% 34.6 40s
17698 3209 0.81093 32 102 0.76073 0.82255 8.13% 34.2 45s
20460 3855 0.79907 39 89 0.76073 0.81847 7.59% 33.1 61s
20470 3862 0.80717 32 136 0.76073 0.81847 7.59% 33.0 65s
20478 3867 0.76382 95 148 0.76073 0.81847 7.59% 33.0 70s
20486 3872 0.79593 33 152 0.76073 0.81847 7.59% 33.0 75s
20493 3877 0.79724 35 149 0.76073 0.81847 7.59% 33.0 80s
20500 3882 0.80876 30 154 0.76073 0.81847 7.59% 33.0 85s
20509 3888 0.79287 38 152 0.76073 0.81847 7.59% 33.0 90s
20518 3894 0.77700 34 155 0.76073 0.81847 7.59% 33.0 95s
20525 3898 0.79758 32 154 0.76073 0.81847 7.59% 33.0 100s
20532 3903 0.77932 55 154 0.76073 0.81847 7.59% 32.9 105s
20538 3907 0.78292 30 162 0.76073 0.81847 7.59% 32.9 110s
20546 3912 0.76489 99 165 0.76073 0.81847 7.59% 32.9 115s
20556 3919 0.80438 32 163 0.76073 0.81847 7.59% 32.9 120s
20565 3925 0.77691 38 164 0.76073 0.81847 7.59% 32.9 125s
20574 3931 0.81012 40 167 0.76073 0.81847 7.59% 32.9 130s
20581 3936 0.80818 40 169 0.76073 0.81847 7.59% 32.9 135s
H20583 3738 0.7607273 0.81847 7.59% 32.9 138s
20586 3740 0.79593 33 168 0.76073 0.81847 7.59% 32.9 140s
20593 3745 0.79724 35 172 0.76073 0.81847 7.59% 32.8 145s
20600 3749 0.80876 30 171 0.76073 0.81847 7.59% 32.8 150s
20608 3755 0.79918 34 170 0.76073 0.81847 7.59% 32.8 155s
20616 3760 0.79282 33 174 0.76073 0.81847 7.59% 32.8 160s
20624 3765 0.79663 44 170 0.76073 0.81847 7.59% 32.8 165s
20633 3771 0.78016 38 180 0.76073 0.81847 7.59% 32.8 170s
20640 3776 0.80591 36 175 0.76073 0.81847 7.59% 32.8 175s
20648 3781 0.80066 32 161 0.76073 0.81847 7.59% 32.8 180s
20654 3785 0.79468 41 175 0.76073 0.81847 7.59% 32.8 185s
20661 3790 0.77461 76 166 0.76073 0.81847 7.59% 32.7 190s
20669 3795 0.80247 33 162 0.76073 0.81847 7.59% 32.7 195s
20673 3800 cutoff 22 0.76073 0.81786 7.51% 34.1 200s
20701 3806 0.78533 28 159 0.76073 0.81475 7.10% 34.3 205s
H20704 3612 0.7607273 0.81475 7.10% 34.3 205s
20984 3612 0.77468 33 134 0.76073 0.81374 6.97% 35.0 210s
21576 3757 0.79837 40 109 0.76073 0.80766 6.17% 35.7 215s
22554 3826 cutoff 52 0.76073 0.80320 5.58% 36.8 220s
23553 3841 0.76711 36 130 0.76073 0.80094 5.29% 38.3 225s
24414 3830 0.77855 42 136 0.76073 0.79935 5.08% 39.3 230s
25097 3766 0.76686 56 103 0.76073 0.79785 4.88% 40.5 235s
26020 3764 0.78974 42 114 0.76073 0.79584 4.62% 41.4 240s
26751 3706 0.77012 42 107 0.76073 0.79448 4.44% 42.4 245s
27546 3625 0.78013 38 109 0.76073 0.79240 4.16% 43.1 250s
28428 3526 0.76583 46 114 0.76073 0.79053 3.92% 44.2 255s
29471 3410 infeasible 50 0.76073 0.78903 3.72% 45.3 260s
30571 3209 cutoff 38 0.76073 0.78774 3.55% 46.2 266s
31509 3057 0.76525 43 121 0.76073 0.78574 3.29% 46.9 270s
32822 3156 0.77542 39 130 0.76073 0.78340 2.98% 47.9 277s
33750 3320 0.77164 39 125 0.76073 0.78201 2.80% 48.3 282s
34350 3364 0.77375 40 116 0.76073 0.78126 2.70% 48.6 286s
35435 3539 0.77726 40 107 0.76073 0.78023 2.56% 48.7 291s
36566 3697 0.76883 41 118 0.76073 0.77921 2.43% 48.8 295s
38310 4008 cutoff 57 0.76073 0.77775 2.24% 48.8 301s
39476 4110 0.76947 41 115 0.76073 0.77661 2.09% 48.7 305s
40937 4243 cutoff 59 0.76073 0.77515 1.90% 48.7 310s
42167 4220 cutoff 57 0.76073 0.77373 1.71% 48.9 315s
43554 4311 cutoff 37 0.76073 0.77204 1.49% 48.8 320s
45187 4540 0.77090 59 61 0.76073 0.77109 1.36% 48.3 325s
47411 4903 0.77008 74 78 0.76073 0.77009 1.23% 47.4 331s
49216 5264 cutoff 56 0.76073 0.76959 1.16% 46.7 335s
51938 5978 0.76778 81 53 0.76073 0.76906 1.10% 45.3 340s
53633 6298 0.76140 97 15 0.76073 0.76862 1.04% 44.5 345s
Cutting planes:
Gomory: 146
Cover: 3
Implied bound: 26
Projected implied bound: 35
MIR: 143
Flow cover: 552
Inf proof: 121
Explored 55299 nodes (2422461 simplex iterations) in 347.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.760727 0.760727 0.760727 0.760727
Optimal solution found (tolerance 1.00e-02)
Best objective 7.607273245296e-01, best bound 7.683339308618e-01, gap 0.9999%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwvy1vzsj.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv2zkdqkr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.750912
Presolve removed 620 rows and 402 columns
Presolve time: 0.02s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.066640e+00, 861 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06664 0 92 0.75091 1.06664 42.0% - 0s
0 0 1.00224 0 103 0.75091 1.00224 33.5% - 0s
0 0 1.00224 0 103 0.75091 1.00224 33.5% - 0s
0 0 0.99001 0 108 0.75091 0.99001 31.8% - 0s
0 0 0.98994 0 108 0.75091 0.98994 31.8% - 0s
0 0 0.98937 0 118 0.75091 0.98937 31.8% - 0s
0 0 0.98928 0 119 0.75091 0.98928 31.7% - 0s
0 0 0.98896 0 107 0.75091 0.98896 31.7% - 0s
0 0 0.98896 0 83 0.75091 0.98896 31.7% - 0s
0 2 0.98896 0 82 0.75091 0.98896 31.7% - 0s
1385 783 0.81093 42 97 0.75091 0.93438 24.4% 22.6 5s
3795 1541 0.88434 26 108 0.75091 0.91401 21.7% 28.5 10s
5574 2139 cutoff 30 0.75091 0.90230 20.2% 31.9 15s
8095 2979 cutoff 36 0.75091 0.88973 18.5% 34.0 20s
9747 3365 0.83680 28 98 0.75091 0.88229 17.5% 34.9 25s
12327 4002 infeasible 30 0.75091 0.87395 16.4% 35.3 30s
13717 4240 cutoff 39 0.75091 0.86865 15.7% 36.0 35s
15473 4439 0.82894 28 114 0.75091 0.86187 14.8% 37.1 40s
17470 4739 cutoff 51 0.75091 0.85653 14.1% 37.4 45s
19758 5018 0.75818 34 104 0.75091 0.85082 13.3% 37.7 50s
20796 5204 0.78496 45 83 0.75091 0.84834 13.0% 37.8 65s
20812 5215 0.80187 41 162 0.75091 0.84834 13.0% 37.7 70s
20819 5219 0.75431 46 147 0.75091 0.84834 13.0% 37.7 75s
20826 5224 0.76219 47 161 0.75091 0.84834 13.0% 37.7 80s
20833 5229 0.78108 37 165 0.75091 0.84834 13.0% 37.7 85s
20841 5234 0.78935 37 168 0.75091 0.84834 13.0% 37.7 90s
20847 5238 0.76658 47 165 0.75091 0.84834 13.0% 37.7 95s
20853 5242 0.81530 39 171 0.75091 0.84834 13.0% 37.7 100s
20860 5247 0.79835 38 175 0.75091 0.84824 13.0% 37.6 105s
20866 5251 0.83457 29 181 0.75091 0.84815 12.9% 37.6 110s
20872 5255 0.80450 41 181 0.75091 0.84787 12.9% 37.6 115s
20878 5259 0.78977 41 166 0.75091 0.84582 12.6% 37.6 120s
20885 5263 0.82116 36 183 0.75091 0.84381 12.4% 37.6 126s
20890 5267 0.84167 33 185 0.75091 0.84307 12.3% 37.6 130s
20899 5273 0.82726 30 195 0.75091 0.84261 12.2% 37.6 135s
20906 5277 0.82145 31 194 0.75091 0.84181 12.1% 37.6 140s
20913 5282 0.81467 36 191 0.75091 0.84138 12.0% 37.6 145s
20919 5286 0.75431 46 176 0.75091 0.84065 12.0% 37.5 151s
20925 5290 0.82594 37 189 0.75091 0.84029 11.9% 37.5 155s
20931 5294 0.79285 36 188 0.75091 0.83999 11.9% 37.5 160s
20938 5299 0.76425 56 186 0.75091 0.83984 11.8% 37.5 165s
20946 5304 0.83131 30 182 0.75091 0.83131 10.7% 37.5 170s
20951 5307 0.79751 45 176 0.75091 0.83121 10.7% 37.5 175s
20957 5311 0.81977 29 176 0.75091 0.83116 10.7% 37.5 180s
20963 5315 0.79111 46 185 0.75091 0.83112 10.7% 37.5 185s
20970 5320 0.83109 39 190 0.75091 0.83109 10.7% 37.5 190s
20976 5324 0.83070 36 200 0.75091 0.83070 10.6% 37.4 195s
20981 5327 0.83066 27 167 0.75091 0.83066 10.6% 37.4 201s
20985 5330 0.82116 36 178 0.75091 0.83064 10.6% 37.4 205s
20993 5335 0.76765 31 183 0.75091 0.83033 10.6% 37.4 210s
20999 5339 0.82726 30 174 0.75091 0.82977 10.5% 37.4 215s
21006 5344 0.82145 31 192 0.75091 0.82896 10.4% 37.4 221s
21012 5348 0.80187 41 185 0.75091 0.82863 10.3% 37.4 225s
H21018 5082 0.7509124 0.82831 10.3% 39.2 232s
21025 5084 0.81288 26 159 0.75091 0.82519 9.89% 39.3 235s
21148 5119 0.78101 42 131 0.75091 0.81846 8.99% 39.7 240s
21725 5188 0.78613 38 133 0.75091 0.80824 7.63% 40.6 245s
22432 5235 0.78616 40 142 0.75091 0.80350 7.00% 42.3 250s
22886 5212 0.77546 35 150 0.75091 0.80184 6.78% 43.8 255s
23438 5142 0.76080 49 105 0.75091 0.79895 6.40% 45.6 260s
24126 5116 0.76699 45 124 0.75091 0.79774 6.24% 47.0 265s
24741 5109 0.76920 47 135 0.75091 0.79582 5.98% 48.1 270s
25519 5013 infeasible 61 0.75091 0.79428 5.78% 49.3 276s
26102 4961 cutoff 41 0.75091 0.79279 5.58% 50.3 281s
26873 4976 0.78659 44 123 0.75091 0.79156 5.41% 51.4 287s
27221 4940 infeasible 42 0.75091 0.79108 5.35% 51.6 291s
27746 4844 0.77197 53 104 0.75091 0.79015 5.23% 52.4 295s
28950 4833 0.76592 43 128 0.75091 0.78797 4.93% 53.2 301s
29759 4776 0.75588 43 141 0.75091 0.78619 4.70% 54.1 306s
30517 4627 cutoff 38 0.75091 0.78450 4.47% 55.2 311s
31316 4504 0.75642 47 119 0.75091 0.78371 4.37% 55.9 317s
31844 4435 0.77201 38 135 0.75091 0.78208 4.15% 56.2 320s
32861 4280 0.77104 52 103 0.75091 0.78056 3.95% 56.8 325s
33882 4095 0.77530 51 117 0.75091 0.77880 3.71% 57.4 331s
34523 4023 0.75469 53 90 0.75091 0.77801 3.61% 57.7 337s
35833 3871 0.75708 54 106 0.75091 0.77661 3.42% 57.8 342s
36988 3989 0.75590 65 88 0.75091 0.77578 3.31% 57.9 347s
38120 4214 0.76989 46 123 0.75091 0.77472 3.17% 58.0 352s
39250 4386 0.77375 58 108 0.75091 0.77388 3.06% 57.9 356s
40309 4552 cutoff 59 0.75091 0.77299 2.94% 58.0 361s
41255 4657 cutoff 61 0.75091 0.77224 2.84% 58.0 365s
42746 4790 cutoff 52 0.75091 0.77088 2.66% 58.0 371s
43883 4957 0.76257 51 109 0.75091 0.77011 2.56% 57.8 375s
45311 5141 0.76753 59 97 0.75091 0.76908 2.42% 57.9 381s
46489 5361 0.76433 82 49 0.75091 0.76849 2.34% 57.6 385s
48112 5565 0.76086 56 101 0.75091 0.76763 2.23% 57.3 391s
49443 5625 cutoff 70 0.75091 0.76698 2.14% 57.2 396s
50576 5821 0.75781 68 61 0.75091 0.76664 2.09% 56.9 400s
51976 5936 0.75274 71 66 0.75091 0.76607 2.02% 56.8 405s
53508 6110 cutoff 69 0.75091 0.76553 1.95% 56.4 410s
55006 6195 0.75847 82 55 0.75091 0.76497 1.87% 56.0 415s
56569 6170 0.76031 72 73 0.75091 0.76420 1.77% 55.8 420s
58438 6297 cutoff 51 0.75091 0.76374 1.71% 55.4 426s
59661 6317 cutoff 76 0.75091 0.76334 1.66% 55.2 430s
60831 6283 cutoff 65 0.75091 0.76292 1.60% 55.1 435s
62468 6197 0.75687 72 80 0.75091 0.76233 1.52% 54.9 440s
63715 6176 0.75263 106 13 0.75091 0.76187 1.46% 54.7 445s
64669 6248 0.75412 86 38 0.75091 0.76171 1.44% 54.4 453s
65216 6196 cutoff 82 0.75091 0.76151 1.41% 54.4 456s
66455 6177 infeasible 61 0.75091 0.76116 1.36% 54.2 460s
67899 6067 cutoff 81 0.75091 0.76056 1.28% 53.9 465s
69448 6044 0.75533 59 107 0.75091 0.76014 1.23% 53.7 470s
70763 5904 0.75936 69 63 0.75091 0.75965 1.16% 53.5 476s
72120 5932 0.75587 60 96 0.75091 0.75931 1.12% 53.2 480s
73772 5922 cutoff 64 0.75091 0.75887 1.06% 52.7 485s
Cutting planes:
Gomory: 139
Cover: 13
Implied bound: 68
Projected implied bound: 68
MIR: 213
StrongCG: 1
Flow cover: 736
Inf proof: 203
Zero half: 1
Explored 75393 nodes (3953530 simplex iterations) in 489.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.750912 0.750912
Optimal solution found (tolerance 1.00e-02)
Best objective 7.509123861624e-01, best bound 7.583952169547e-01, gap 0.9965%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp39u8d_20.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4606humg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.725069
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.060805e+00, 875 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06081 0 92 0.72507 1.06081 46.3% - 0s
0 0 0.99538 0 99 0.72507 0.99538 37.3% - 0s
0 0 0.98828 0 99 0.72507 0.98828 36.3% - 0s
0 0 0.98828 0 99 0.72507 0.98828 36.3% - 0s
0 0 0.98811 0 109 0.72507 0.98811 36.3% - 0s
0 0 0.98811 0 93 0.72507 0.98811 36.3% - 0s
0 2 0.98811 0 86 0.72507 0.98811 36.3% - 0s
1222 709 0.73048 29 95 0.72507 0.93335 28.7% 25.8 5s
3519 1531 0.76287 40 99 0.72507 0.89692 23.7% 30.2 10s
5828 2729 0.73191 64 90 0.72507 0.88688 22.3% 30.4 15s
7953 3707 0.86837 20 138 0.72507 0.88000 21.4% 31.2 20s
10055 4623 0.85176 25 116 0.72507 0.87525 20.7% 31.5 25s
13063 5935 cutoff 40 0.72507 0.86979 20.0% 31.5 30s
14821 6569 0.83340 23 107 0.72507 0.86720 19.6% 32.6 35s
16833 7232 0.75612 42 112 0.72507 0.86428 19.2% 33.6 40s
18704 7679 0.76928 30 119 0.72507 0.86164 18.8% 34.6 45s
20505 8123 0.83509 33 126 0.72507 0.85920 18.5% 35.8 50s
20955 8277 0.84435 26 93 0.72507 0.85886 18.5% 35.9 63s
20964 8283 0.78202 24 134 0.72507 0.85886 18.5% 35.8 65s
20973 8289 0.81922 32 169 0.72507 0.85886 18.5% 35.8 70s
20984 8296 0.79094 69 186 0.72507 0.85886 18.5% 35.8 75s
20991 8301 0.74088 126 168 0.72507 0.85886 18.5% 35.8 80s
20998 8306 0.82779 26 192 0.72507 0.85886 18.5% 35.8 85s
21005 8310 0.76151 32 175 0.72507 0.85886 18.5% 35.8 90s
21013 8316 0.77155 33 176 0.72507 0.85886 18.5% 35.8 95s
21020 8320 0.75455 36 206 0.72507 0.85886 18.5% 35.7 100s
21028 8326 0.84025 30 194 0.72507 0.85886 18.5% 35.7 106s
21034 8330 0.85283 26 191 0.72507 0.85886 18.5% 35.7 111s
21040 8334 0.85667 27 195 0.72507 0.85886 18.5% 35.7 115s
21048 8339 0.75068 101 206 0.72507 0.85886 18.5% 35.7 120s
21056 8344 0.75614 36 199 0.72507 0.85886 18.5% 35.7 125s
21062 8348 0.77366 30 194 0.72507 0.85886 18.5% 35.7 130s
21069 8353 0.72877 74 201 0.72507 0.85886 18.5% 35.7 135s
H21074 7936 0.7289598 0.85886 17.8% 35.7 139s
21076 7938 0.77263 36 202 0.72896 0.85886 17.8% 35.6 140s
21084 7943 0.79094 69 207 0.72896 0.85886 17.8% 35.6 146s
21090 7947 0.74960 47 200 0.72896 0.85886 17.8% 35.6 150s
21098 7952 0.82779 26 204 0.72896 0.85886 17.8% 35.6 155s
21105 7957 0.76151 32 206 0.72896 0.85886 17.8% 35.6 160s
21113 7962 0.77155 33 199 0.72896 0.85886 17.8% 35.6 165s
21120 7967 0.75455 36 206 0.72896 0.85886 17.8% 35.6 170s
21128 7972 0.84025 30 193 0.72896 0.85874 17.8% 35.6 175s
21137 7978 0.79133 28 208 0.72896 0.85872 17.8% 35.5 180s
21143 7982 0.80503 38 211 0.72896 0.85871 17.8% 35.5 185s
21151 7988 0.83743 29 210 0.72896 0.85750 17.6% 35.5 190s
21159 7993 0.76961 24 215 0.72896 0.85720 17.6% 35.5 195s
21168 7999 0.79827 35 206 0.72896 0.85713 17.6% 35.5 200s
21175 8004 0.80830 29 211 0.72896 0.85711 17.6% 35.5 205s
H21178 7605 0.7373761 0.85703 16.2% 37.5 210s
21184 7608 0.81447 26 198 0.73738 0.84651 14.8% 37.5 218s
21196 7604 0.83000 28 198 0.73738 0.84211 14.2% 37.7 220s
H21210 7223 0.7373777 0.83983 13.9% 37.8 221s
21246 7235 0.80937 40 164 0.73738 0.83911 13.8% 37.9 225s
21661 7338 infeasible 55 0.73738 0.83378 13.1% 39.0 230s
22217 7460 cutoff 53 0.73738 0.83053 12.6% 40.6 235s
22750 7516 0.79778 36 180 0.73738 0.82667 12.1% 42.2 240s
23303 7623 0.80027 47 160 0.73738 0.82483 11.9% 43.7 245s
23628 7636 0.79818 38 170 0.73738 0.82367 11.7% 44.9 250s
24114 7722 0.79774 51 149 0.73738 0.81984 11.2% 46.5 255s
24707 7798 cutoff 57 0.73738 0.81829 11.0% 47.9 260s
25007 7828 0.74316 47 141 0.73738 0.81710 10.8% 48.9 265s
25465 7886 0.77061 55 124 0.73738 0.81592 10.7% 50.1 270s
26041 7977 cutoff 50 0.73738 0.81469 10.5% 51.4 276s
26222 7973 0.77220 38 159 0.73738 0.81434 10.4% 52.0 281s
26628 8039 0.77010 39 136 0.73738 0.81353 10.3% 52.7 285s
26994 8036 0.80160 47 154 0.73738 0.81284 10.2% 54.1 290s
27383 8018 0.79615 47 173 0.73738 0.81157 10.1% 55.1 295s
27946 8046 0.78326 49 148 0.73738 0.81085 10.0% 56.3 300s
28496 8119 0.80289 41 177 0.73738 0.80952 9.78% 57.5 306s
29053 8124 0.77561 36 174 0.73738 0.80859 9.66% 59.0 313s
29341 8118 cutoff 53 0.73738 0.80813 9.59% 59.8 316s
29915 8143 0.77261 41 163 0.73738 0.80714 9.46% 61.4 323s
30208 8155 0.79122 35 178 0.73738 0.80680 9.42% 61.9 327s
30574 8124 cutoff 55 0.73738 0.80632 9.35% 62.7 331s
30904 8133 0.76159 48 132 0.73738 0.80573 9.27% 63.5 335s
31225 8110 cutoff 46 0.73738 0.80537 9.22% 64.2 340s
31937 8031 0.78801 46 146 0.73738 0.80404 9.04% 66.2 348s
32391 8075 cutoff 55 0.73738 0.80374 9.00% 66.9 352s
32765 8095 0.79655 39 148 0.73738 0.80326 8.93% 67.7 356s
33009 8076 cutoff 48 0.73738 0.80298 8.90% 68.4 360s
33785 8094 0.78054 72 118 0.73738 0.80236 8.81% 69.9 368s
34249 8135 cutoff 50 0.73738 0.80195 8.76% 70.5 374s
34397 8113 0.74192 70 99 0.73738 0.80183 8.74% 70.7 378s
34756 8114 cutoff 53 0.73738 0.80142 8.69% 71.4 383s
35153 8104 cutoff 40 0.73738 0.80103 8.63% 72.2 387s
35492 8067 0.76740 60 126 0.73738 0.80066 8.58% 73.0 391s
35963 8061 0.75535 57 111 0.73738 0.80031 8.53% 73.6 396s
36399 8072 cutoff 54 0.73738 0.79991 8.48% 74.1 400s
37233 8068 0.78848 50 133 0.73738 0.79934 8.40% 75.2 408s
37658 8062 0.77241 46 158 0.73738 0.79899 8.36% 75.8 413s
38061 8055 0.77041 42 152 0.73738 0.79864 8.31% 76.3 417s
38431 8049 cutoff 54 0.73738 0.79837 8.27% 77.0 422s
38529 8011 0.76863 37 162 0.73738 0.79824 8.25% 77.1 426s
38863 7938 0.77802 49 131 0.73738 0.79796 8.22% 77.9 431s
39249 7929 0.78385 44 145 0.73738 0.79767 8.18% 78.5 435s
39974 7883 cutoff 53 0.73738 0.79705 8.09% 79.8 444s
40393 7873 cutoff 53 0.73738 0.79671 8.05% 80.4 449s
40848 7873 cutoff 52 0.73738 0.79635 8.00% 80.9 453s
41219 7863 0.77053 38 166 0.73738 0.79610 7.96% 81.5 458s
41633 7848 0.74630 40 174 0.73738 0.79582 7.93% 82.1 462s
42117 7850 0.76706 52 138 0.73738 0.79540 7.87% 82.5 467s
42531 7832 0.76350 52 140 0.73738 0.79519 7.84% 83.0 472s
43072 7907 0.74480 53 111 0.73738 0.79494 7.81% 83.3 476s
43630 8097 0.78761 49 138 0.73738 0.79472 7.78% 83.4 481s
44126 8249 0.76671 46 156 0.73738 0.79448 7.74% 83.7 485s
45015 8538 0.76774 51 129 0.73738 0.79408 7.69% 84.4 493s
45456 8652 0.75378 44 145 0.73738 0.79391 7.67% 84.7 498s
45837 8743 0.76956 41 162 0.73738 0.79379 7.65% 85.2 502s
46209 8822 0.77052 61 111 0.73738 0.79357 7.62% 85.6 508s
46623 8890 0.76490 47 126 0.73738 0.79326 7.58% 86.1 513s
47011 9009 cutoff 48 0.73738 0.79308 7.55% 86.6 517s
47519 9182 0.75959 52 152 0.73738 0.79282 7.52% 86.7 521s
47991 9333 0.78389 41 156 0.73738 0.79261 7.49% 87.0 525s
48397 9434 0.74644 50 119 0.73738 0.79232 7.45% 87.3 530s
49338 9688 cutoff 37 0.73738 0.79187 7.39% 87.9 538s
49769 9792 0.75144 65 102 0.73738 0.79177 7.38% 88.2 542s
50232 9931 0.74645 44 160 0.73738 0.79146 7.33% 88.4 547s
50612 10020 0.74226 55 128 0.73738 0.79146 7.33% 88.8 553s
50714 10033 cutoff 51 0.73738 0.79111 7.29% 88.8 557s
51048 10113 0.77907 38 168 0.73738 0.79097 7.27% 89.3 561s
51347 10164 cutoff 55 0.73738 0.79077 7.24% 89.8 565s
51671 10228 cutoff 48 0.73738 0.79057 7.21% 90.3 570s
52494 10438 cutoff 52 0.73738 0.79015 7.16% 90.9 579s
52976 10573 0.74607 49 122 0.73738 0.78993 7.13% 91.1 583s
53414 10702 0.75274 51 127 0.73738 0.78970 7.10% 91.4 587s
53735 10748 0.77845 50 150 0.73738 0.78949 7.07% 91.8 591s
54141 10816 cutoff 43 0.73738 0.78939 7.05% 92.2 596s
54457 10891 cutoff 45 0.73738 0.78921 7.03% 92.7 600s
Cutting planes:
Gomory: 144
Cover: 5
Implied bound: 61
Projected implied bound: 42
MIR: 196
StrongCG: 2
Flow cover: 564
Inf proof: 146
Zero half: 2
Explored 54844 nodes (5098429 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.737378 0.737376 0.72896 0.725069
Time limit reached
Best objective 7.373776877619e-01, best bound 7.889769420239e-01, gap 6.9977%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz3uevdej.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplijp2j_w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.733865
Presolve removed 648 rows and 420 columns
Presolve time: 0.04s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.054871e+00, 878 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05487 0 93 0.73386 1.05487 43.7% - 0s
0 0 0.99474 0 111 0.73386 0.99474 35.5% - 0s
0 0 0.99474 0 111 0.73386 0.99474 35.5% - 0s
0 0 0.99017 0 121 0.73386 0.99017 34.9% - 0s
0 0 0.99014 0 118 0.73386 0.99014 34.9% - 0s
0 0 0.98968 0 124 0.73386 0.98968 34.9% - 0s
0 0 0.98945 0 130 0.73386 0.98945 34.8% - 0s
0 0 0.98945 0 99 0.73386 0.98945 34.8% - 0s
0 2 0.98945 0 98 0.73386 0.98945 34.8% - 0s
1119 636 infeasible 25 0.73386 0.92866 26.5% 25.7 5s
3623 1426 0.73713 95 60 0.73386 0.89475 21.9% 28.3 10s
5248 1939 0.79616 44 93 0.73386 0.88471 20.6% 31.0 15s
7112 2433 0.84536 34 110 0.73386 0.87547 19.3% 33.3 20s
9154 2871 0.77916 35 114 0.73386 0.86698 18.1% 34.2 25s
11138 3276 0.76777 41 91 0.73386 0.85959 17.1% 34.9 30s
12709 3464 0.80985 37 123 0.73386 0.85365 16.3% 36.0 35s
H12746 3468 0.7338648 0.85355 16.3% 36.1 35s
13443 3538 0.73719 50 84 0.73386 0.85117 16.0% 36.3 40s
15095 3660 0.83494 41 112 0.73386 0.84442 15.1% 36.9 45s
16749 3785 0.79529 35 108 0.73386 0.83878 14.3% 37.5 50s
18590 4016 infeasible 36 0.73386 0.83390 13.6% 37.8 55s
20489 4217 cutoff 37 0.73386 0.82748 12.8% 37.9 60s
20904 4247 cutoff 41 0.73386 0.82601 12.6% 37.9 72s
21637 4314 0.78749 39 118 0.73386 0.82453 12.4% 37.9 75s
22997 4423 cutoff 40 0.73386 0.82126 11.9% 38.6 81s
24490 4544 infeasible 42 0.73386 0.81809 11.5% 39.1 85s
25939 4727 cutoff 48 0.73386 0.81507 11.1% 39.6 90s
28121 5036 infeasible 40 0.73386 0.81173 10.6% 39.7 95s
29661 5174 0.77410 38 94 0.73386 0.80921 10.3% 40.1 100s
31366 5440 cutoff 37 0.73386 0.80622 9.86% 40.1 105s
33570 5789 0.74980 49 86 0.73386 0.80285 9.40% 40.0 110s
35209 5976 0.74364 52 83 0.73386 0.80074 9.11% 40.1 115s
37588 6468 cutoff 46 0.73386 0.79768 8.70% 39.7 120s
40128 6950 0.73895 48 111 0.73386 0.79506 8.34% 39.3 125s
42365 7283 0.77765 53 110 0.73386 0.79250 7.99% 39.1 130s
44691 7739 0.75335 41 134 0.73386 0.79016 7.67% 38.7 135s
46735 8069 0.75149 39 116 0.73386 0.78825 7.41% 38.6 140s
48933 8424 0.75279 65 77 0.73386 0.78654 7.18% 38.3 145s
51477 8925 cutoff 63 0.73386 0.78482 6.94% 37.9 150s
53046 9180 0.75228 41 97 0.73386 0.78410 6.85% 37.7 155s
55149 9516 0.73601 44 131 0.73386 0.78305 6.70% 37.5 160s
57724 9915 0.75315 63 81 0.73386 0.78182 6.53% 37.2 165s
60172 10321 0.74989 54 88 0.73386 0.78070 6.38% 36.8 170s
63230 11034 0.74370 57 67 0.73386 0.77985 6.27% 36.3 175s
65735 11467 cutoff 43 0.73386 0.77901 6.15% 36.1 180s
68000 11740 0.75776 56 80 0.73386 0.77817 6.04% 35.9 185s
70688 12225 0.77096 52 98 0.73386 0.77737 5.93% 35.7 190s
72885 12533 0.74440 52 103 0.73386 0.77655 5.82% 35.5 195s
75180 12894 0.74728 45 102 0.73386 0.77573 5.71% 35.4 200s
H75758 13042 0.7338648 0.77561 5.69% 35.4 203s
76202 13055 0.74834 49 94 0.73386 0.77546 5.67% 35.3 205s
78515 13396 cutoff 53 0.73386 0.77474 5.57% 35.2 211s
80244 13583 0.73891 45 102 0.73386 0.77416 5.49% 35.2 215s
82383 13936 cutoff 53 0.73386 0.77369 5.43% 35.1 220s
84863 14422 cutoff 65 0.73386 0.77308 5.34% 34.9 225s
87151 14751 0.75722 58 90 0.73386 0.77256 5.27% 34.9 230s
89067 15129 0.74538 63 74 0.73386 0.77218 5.22% 34.8 235s
91105 15447 cutoff 49 0.73386 0.77183 5.17% 34.7 240s
93912 15890 cutoff 50 0.73386 0.77130 5.10% 34.6 245s
95698 16105 cutoff 49 0.73386 0.77089 5.04% 34.6 250s
98389 16579 0.74571 86 57 0.73386 0.77038 4.98% 34.5 255s
100292 16857 0.74564 47 100 0.73386 0.77003 4.93% 34.5 260s
102392 17235 cutoff 58 0.73386 0.76966 4.88% 34.4 265s
104958 17683 0.74402 56 92 0.73386 0.76924 4.82% 34.3 270s
107106 17951 cutoff 89 0.73386 0.76884 4.77% 34.3 275s
108423 18101 0.75849 59 94 0.73386 0.76855 4.73% 34.3 280s
110502 18293 0.75277 51 100 0.73386 0.76808 4.66% 34.4 285s
112756 18579 0.74885 54 117 0.73386 0.76770 4.61% 34.3 290s
114842 18803 cutoff 78 0.73386 0.76732 4.56% 34.3 295s
116988 19098 cutoff 72 0.73386 0.76699 4.51% 34.3 300s
119057 19266 0.76560 63 86 0.73386 0.76660 4.46% 34.3 305s
121765 19664 cutoff 66 0.73386 0.76613 4.40% 34.2 310s
124064 19969 cutoff 87 0.73386 0.76576 4.35% 34.2 315s
126192 20141 cutoff 66 0.73386 0.76540 4.30% 34.2 320s
128318 20396 0.75485 61 79 0.73386 0.76502 4.25% 34.1 325s
130624 20722 0.74673 88 61 0.73386 0.76465 4.20% 34.1 330s
131837 20852 0.73953 50 122 0.73386 0.76448 4.17% 34.1 335s
133723 21025 0.73620 74 64 0.73386 0.76419 4.13% 34.0 340s
135806 21204 cutoff 49 0.73386 0.76389 4.09% 34.1 345s
137952 21388 cutoff 61 0.73386 0.76353 4.04% 34.1 350s
139426 21448 cutoff 51 0.73386 0.76329 4.01% 34.1 355s
141816 21723 cutoff 68 0.73386 0.76300 3.97% 34.0 360s
144021 21919 infeasible 70 0.73386 0.76266 3.92% 34.0 365s
146070 22019 0.74946 52 110 0.73386 0.76230 3.87% 34.0 370s
147745 22075 0.73517 50 75 0.73386 0.76204 3.84% 34.1 375s
150014 22217 infeasible 81 0.73386 0.76172 3.80% 34.1 380s
152332 22389 0.73664 83 62 0.73386 0.76141 3.75% 34.1 385s
154529 22539 cutoff 78 0.73386 0.76112 3.71% 34.1 390s
155848 22611 0.74586 61 93 0.73386 0.76093 3.69% 34.1 395s
157580 22746 0.73480 60 103 0.73386 0.76070 3.66% 34.1 400s
159869 22873 0.74617 88 58 0.73386 0.76034 3.61% 34.1 405s
162256 23039 cutoff 67 0.73386 0.76003 3.57% 34.1 410s
164015 23100 cutoff 61 0.73386 0.75981 3.54% 34.1 415s
166158 23156 cutoff 45 0.73386 0.75946 3.49% 34.2 420s
167974 23283 infeasible 50 0.73386 0.75922 3.45% 34.2 425s
170452 23484 cutoff 58 0.73386 0.75896 3.42% 34.1 430s
172139 23599 0.74031 65 73 0.73386 0.75865 3.38% 34.1 435s
173877 23514 0.75424 61 81 0.73386 0.75837 3.34% 34.1 440s
175668 23564 cutoff 67 0.73386 0.75815 3.31% 34.1 445s
177930 23628 0.74582 78 61 0.73386 0.75788 3.27% 34.1 450s
179754 23689 0.74679 58 104 0.73386 0.75762 3.24% 34.1 456s
181463 23737 cutoff 53 0.73386 0.75742 3.21% 34.2 460s
183283 23785 infeasible 73 0.73386 0.75713 3.17% 34.2 465s
185560 23796 infeasible 48 0.73386 0.75684 3.13% 34.2 470s
187516 23872 0.73660 54 90 0.73386 0.75662 3.10% 34.2 475s
189726 23945 cutoff 68 0.73386 0.75634 3.06% 34.2 480s
191931 24114 cutoff 79 0.73386 0.75608 3.03% 34.2 485s
193418 24105 0.73874 64 87 0.73386 0.75591 3.00% 34.1 490s
195560 24140 0.75131 51 103 0.73386 0.75563 2.97% 34.2 496s
196530 24041 cutoff 66 0.73386 0.75550 2.95% 34.2 500s
198594 24008 cutoff 49 0.73386 0.75522 2.91% 34.2 505s
200321 23974 0.73573 61 89 0.73386 0.75500 2.88% 34.2 510s
202475 23975 0.74488 83 81 0.73386 0.75473 2.84% 34.2 515s
204282 23998 cutoff 90 0.73386 0.75449 2.81% 34.2 520s
206139 24014 0.74554 53 95 0.73386 0.75427 2.78% 34.2 525s
208245 23940 cutoff 80 0.73386 0.75399 2.74% 34.2 530s
209880 23839 cutoff 55 0.73386 0.75375 2.71% 34.3 535s
212303 23840 0.73613 74 52 0.73386 0.75349 2.67% 34.2 540s
214148 23879 cutoff 75 0.73386 0.75330 2.65% 34.2 545s
215877 23866 infeasible 82 0.73386 0.75308 2.62% 34.2 550s
218106 23826 0.75210 65 120 0.73386 0.75283 2.58% 34.2 555s
219869 23903 0.74912 75 79 0.73386 0.75264 2.56% 34.2 561s
220933 23838 0.74257 53 114 0.73386 0.75252 2.54% 34.2 565s
223234 23854 0.74704 74 74 0.73386 0.75226 2.51% 34.2 570s
225082 23864 0.74792 56 110 0.73386 0.75209 2.48% 34.2 575s
226785 23854 0.73957 59 120 0.73386 0.75192 2.46% 34.2 580s
228843 23796 0.73722 75 91 0.73386 0.75165 2.42% 34.2 585s
230564 23840 0.75136 66 88 0.73386 0.75147 2.40% 34.2 590s
232620 23760 cutoff 79 0.73386 0.75124 2.37% 34.2 595s
234238 23689 cutoff 74 0.73386 0.75105 2.34% 34.2 600s
Cutting planes:
Gomory: 135
Cover: 5
Implied bound: 87
Projected implied bound: 63
Clique: 3
MIR: 26
Flow cover: 171
Inf proof: 602
Explored 234711 nodes (8028952 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.733865 0.733865 0.733865
Time limit reached
Best objective 7.338647738872e-01, best bound 7.510147774356e-01, gap 2.3369%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxqqd7a3p.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1jyiuv9l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.726161
Presolve removed 662 rows and 429 columns
Presolve time: 0.02s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.042835e+00, 948 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04284 0 95 0.72616 1.04284 43.6% - 0s
0 0 0.97986 0 106 0.72616 0.97986 34.9% - 0s
0 0 0.97986 0 106 0.72616 0.97986 34.9% - 0s
0 0 0.97174 0 117 0.72616 0.97174 33.8% - 0s
0 0 0.97171 0 119 0.72616 0.97171 33.8% - 0s
0 0 0.97025 0 121 0.72616 0.97025 33.6% - 0s
0 0 0.97022 0 129 0.72616 0.97022 33.6% - 0s
0 0 0.97012 0 130 0.72616 0.97012 33.6% - 0s
0 0 0.97012 0 108 0.72616 0.97012 33.6% - 0s
0 2 0.97012 0 107 0.72616 0.97012 33.6% - 0s
1057 688 0.91042 20 110 0.72616 0.91042 25.4% 28.2 5s
3173 1504 0.81587 30 107 0.72616 0.91042 25.4% 29.6 10s
4798 2309 0.86484 24 109 0.72616 0.90461 24.6% 32.7 15s
6436 2890 0.79996 34 101 0.72616 0.88978 22.5% 35.3 20s
8332 3651 0.84801 25 118 0.72616 0.87733 20.8% 36.1 26s
9657 4222 0.84010 29 117 0.72616 0.87332 20.3% 36.5 30s
11313 4747 0.78300 43 102 0.72616 0.86564 19.2% 37.3 35s
H12856 5351 0.7261606 0.86106 18.6% 37.7 39s
12886 5343 0.78293 40 102 0.72616 0.86076 18.5% 37.7 40s
14863 6140 0.75641 42 101 0.72616 0.85523 17.8% 38.1 45s
16545 6703 0.73703 33 108 0.72616 0.85131 17.2% 38.7 50s
17415 6964 cutoff 41 0.72616 0.84924 16.9% 38.9 55s
18620 7284 0.79556 29 102 0.72616 0.84607 16.5% 39.6 60s
20490 7870 0.79709 35 110 0.72616 0.84214 16.0% 40.2 65s
20828 7964 0.81223 33 108 0.72616 0.84143 15.9% 40.3 80s
20843 7974 0.73473 39 142 0.72616 0.84143 15.9% 40.3 85s
20849 7978 0.81611 33 161 0.72616 0.84143 15.9% 40.2 90s
20855 7982 0.78516 37 170 0.72616 0.84143 15.9% 40.2 95s
20861 7986 0.77365 40 171 0.72616 0.84143 15.9% 40.2 100s
20869 7991 0.77882 37 170 0.72616 0.84143 15.9% 40.2 106s
20875 7995 0.73914 57 164 0.72616 0.84143 15.9% 40.2 111s
20881 7999 0.77462 41 172 0.72616 0.84143 15.9% 40.2 115s
20887 8003 0.78824 33 172 0.72616 0.84143 15.9% 40.2 120s
20894 8008 0.79888 38 188 0.72616 0.84143 15.9% 40.2 125s
20902 8013 0.74247 55 188 0.72616 0.84143 15.9% 40.1 130s
20908 8017 0.79464 41 182 0.72616 0.84046 15.7% 40.1 135s
20913 8021 0.82500 31 198 0.72616 0.84001 15.7% 40.1 140s
20920 8025 0.78180 42 204 0.72616 0.83979 15.6% 40.1 145s
20925 8029 0.75118 31 202 0.72616 0.83972 15.6% 40.1 150s
20930 8032 0.83585 29 208 0.72616 0.83971 15.6% 40.1 155s
20937 8037 0.78539 42 201 0.72616 0.83971 15.6% 40.1 160s
20943 8041 0.73473 39 203 0.72616 0.83970 15.6% 40.1 165s
20948 8044 0.78432 35 194 0.72616 0.83970 15.6% 40.1 170s
20954 8048 0.83968 21 208 0.72616 0.83968 15.6% 40.0 175s
20962 8053 0.83714 26 213 0.72616 0.83942 15.6% 40.0 180s
20969 8058 0.77882 37 210 0.72616 0.83935 15.6% 40.0 185s
20974 8061 0.81127 46 215 0.72616 0.83925 15.6% 40.0 190s
20979 8065 0.80577 33 218 0.72616 0.83899 15.5% 40.0 195s
20986 8069 0.75829 60 217 0.72616 0.83873 15.5% 40.0 200s
20994 8075 0.79888 38 218 0.72616 0.83869 15.5% 40.0 205s
20998 8077 0.81280 32 218 0.72616 0.83866 15.5% 40.0 210s
21005 8082 0.81191 33 219 0.72616 0.83864 15.5% 39.9 215s
21009 8085 0.81554 29 218 0.72616 0.83864 15.5% 39.9 220s
21013 8091 0.77020 28 184 0.72616 0.83742 15.3% 41.4 228s
21017 8092 0.74786 29 184 0.72616 0.83644 15.2% 41.5 230s
21081 8106 0.81860 31 198 0.72616 0.82317 13.4% 41.7 235s
21376 8215 0.76044 99 90 0.72616 0.82103 13.1% 42.5 240s
21775 8311 cutoff 40 0.72616 0.81690 12.5% 43.8 246s
22028 8344 0.75065 42 167 0.72616 0.81592 12.4% 45.0 250s
22384 8397 0.75076 66 122 0.72616 0.81364 12.0% 46.4 255s
22881 8487 cutoff 55 0.72616 0.80715 11.2% 47.8 260s
23278 8519 0.76706 45 165 0.72616 0.80452 10.8% 49.4 265s
23827 8658 0.75862 41 183 0.72616 0.80077 10.3% 51.1 270s
24106 8698 0.78477 41 177 0.72616 0.79884 10.0% 52.3 275s
24408 8708 0.74575 41 160 0.72616 0.79777 9.86% 53.8 280s
24743 8727 0.72875 59 132 0.72616 0.79666 9.71% 54.9 285s
25187 8781 0.74345 41 162 0.72616 0.79604 9.62% 56.3 290s
25453 8792 0.73096 43 160 0.72616 0.79482 9.45% 57.5 295s
25667 8801 0.77631 45 170 0.72616 0.79423 9.37% 58.3 300s
25888 8794 0.74000 44 147 0.72616 0.79401 9.34% 59.1 305s
26232 8799 cutoff 57 0.72616 0.79332 9.25% 60.5 310s
26478 8792 0.77273 41 165 0.72616 0.79220 9.09% 61.6 315s
26967 8841 0.76072 39 151 0.72616 0.79151 9.00% 62.9 321s
27465 8820 0.75775 45 151 0.72616 0.79028 8.83% 64.6 327s
27696 8833 0.73390 56 148 0.72616 0.78981 8.77% 65.4 330s
28184 8812 0.74165 51 150 0.72616 0.78918 8.68% 67.1 339s
28212 8791 0.78188 40 148 0.72616 0.78903 8.66% 67.1 343s
28523 8814 0.76330 41 164 0.72616 0.78872 8.61% 68.0 347s
28769 8791 cutoff 45 0.72616 0.78787 8.50% 69.0 351s
29087 8808 0.74349 50 105 0.72616 0.78730 8.42% 69.9 355s
29686 8801 0.75523 40 158 0.72616 0.78639 8.29% 71.6 363s
30013 8755 0.73772 53 143 0.72616 0.78598 8.24% 72.7 368s
30361 8779 cutoff 47 0.72616 0.78539 8.16% 73.4 372s
30646 8737 cutoff 42 0.72616 0.78491 8.09% 74.7 377s
31061 8754 0.73717 46 161 0.72616 0.78422 8.00% 75.6 382s
31405 8686 cutoff 44 0.72616 0.78393 7.96% 76.6 387s
31849 8650 0.73982 73 143 0.72616 0.78331 7.87% 77.6 392s
32317 8628 0.72897 47 135 0.72616 0.78277 7.80% 78.4 397s
32651 8603 0.77023 45 170 0.72616 0.78247 7.75% 79.0 402s
33066 8580 0.73578 49 137 0.72616 0.78211 7.71% 79.9 407s
33451 8546 0.77507 40 163 0.72616 0.78174 7.65% 80.8 411s
33830 8500 0.75837 53 137 0.72616 0.78124 7.59% 81.6 417s
34286 8472 0.72849 50 150 0.72616 0.78074 7.52% 82.2 422s
34832 8518 0.75862 75 148 0.72616 0.78035 7.46% 82.7 427s
35287 8552 0.76775 52 160 0.72616 0.78018 7.44% 83.3 432s
35715 8546 0.73337 53 129 0.72616 0.77975 7.38% 83.9 437s
36063 8484 0.75651 46 160 0.72616 0.77940 7.33% 84.7 442s
36505 8464 infeasible 58 0.72616 0.77908 7.29% 85.3 447s
37006 8485 0.74902 43 152 0.72616 0.77872 7.24% 85.8 452s
37461 8524 cutoff 42 0.72616 0.77848 7.20% 86.4 457s
37914 8565 infeasible 41 0.72616 0.77832 7.18% 86.9 462s
38402 8543 0.74414 52 140 0.72616 0.77796 7.13% 87.4 467s
38905 8542 0.75613 54 140 0.72616 0.77778 7.11% 87.9 472s
39428 8529 0.74212 54 130 0.72616 0.77761 7.08% 88.3 476s
39771 8476 cutoff 41 0.72616 0.77715 7.02% 89.0 481s
40144 8452 0.77511 66 137 0.72616 0.77691 6.99% 89.6 486s
40546 8432 cutoff 55 0.72616 0.77676 6.97% 90.2 490s
41010 8434 0.75406 42 163 0.72616 0.77635 6.91% 90.5 495s
41403 8405 0.74076 64 108 0.72616 0.77622 6.89% 91.0 500s
41927 8434 0.73143 50 145 0.72616 0.77593 6.85% 91.2 505s
42867 8454 cutoff 44 0.72616 0.77556 6.80% 91.8 514s
43324 8462 0.74105 40 174 0.72616 0.77523 6.76% 92.1 519s
43834 8472 0.75395 54 158 0.72616 0.77503 6.73% 92.2 523s
44313 8489 0.76258 42 158 0.72616 0.77486 6.71% 92.4 528s
44769 8497 0.74113 78 149 0.72616 0.77451 6.66% 92.7 532s
45214 8469 0.74226 61 145 0.72616 0.77440 6.64% 92.9 537s
45726 8604 0.75225 92 100 0.72616 0.77404 6.59% 93.1 541s
46213 8770 0.75066 46 149 0.72616 0.77382 6.56% 93.3 546s
46811 9046 0.74989 41 156 0.72616 0.77359 6.53% 93.2 551s
47259 9193 0.76150 41 166 0.72616 0.77349 6.52% 93.4 555s
47736 9357 0.75259 73 115 0.72616 0.77337 6.50% 93.5 560s
48637 9644 0.75094 44 136 0.72616 0.77301 6.45% 93.9 568s
49038 9776 0.74089 85 102 0.72616 0.77274 6.41% 94.2 573s
49477 9908 0.75512 61 128 0.72616 0.77261 6.40% 94.2 577s
49872 10011 0.76134 50 146 0.72616 0.77246 6.38% 94.5 581s
50314 10190 0.77053 65 134 0.72616 0.77217 6.34% 94.7 587s
50412 10190 0.76408 70 123 0.72616 0.77215 6.33% 94.7 592s
50849 10307 0.75827 77 120 0.72616 0.77202 6.32% 94.9 596s
51391 10505 0.75435 55 161 0.72616 0.77185 6.29% 94.9 600s
Cutting planes:
Gomory: 192
Cover: 11
Implied bound: 55
Projected implied bound: 70
MIR: 211
StrongCG: 3
Flow cover: 727
Inf proof: 108
Zero half: 1
Explored 51703 nodes (4915929 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.726161 0.726161
Time limit reached
Best objective 7.261606434404e-01, best bound 7.717492391197e-01, gap 6.2780%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjuz6dcor.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprpeuyt2v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.721372
Presolve removed 676 rows and 438 columns
Presolve time: 0.04s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.032531e+00, 992 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03253 0 103 0.72137 1.03253 43.1% - 0s
0 0 0.96827 0 110 0.72137 0.96827 34.2% - 0s
0 0 0.96827 0 110 0.72137 0.96827 34.2% - 0s
0 0 0.96519 0 112 0.72137 0.96519 33.8% - 0s
0 0 0.96482 0 111 0.72137 0.96482 33.7% - 0s
0 0 0.96289 0 112 0.72137 0.96289 33.5% - 0s
0 0 0.96287 0 119 0.72137 0.96287 33.5% - 0s
0 0 0.96233 0 123 0.72137 0.96233 33.4% - 0s
0 0 0.96201 0 123 0.72137 0.96201 33.4% - 0s
0 0 0.96069 0 126 0.72137 0.96069 33.2% - 0s
0 0 0.96069 0 122 0.72137 0.96069 33.2% - 0s
0 0 0.96065 0 124 0.72137 0.96065 33.2% - 0s
0 0 0.96065 0 103 0.72137 0.96065 33.2% - 0s
0 2 0.96065 0 102 0.72137 0.96065 33.2% - 0s
836 539 infeasible 27 0.72137 0.90118 24.9% 31.6 5s
2435 1004 0.82029 35 105 0.72137 0.88831 23.1% 32.9 10s
4552 1989 0.77793 34 104 0.72137 0.87344 21.1% 34.1 15s
6043 2566 cutoff 39 0.72137 0.86739 20.2% 34.8 20s
7727 3009 0.78354 31 120 0.72137 0.86106 19.4% 37.4 25s
9273 3452 0.82091 33 115 0.72137 0.85595 18.7% 38.7 31s
10377 3748 0.75069 39 112 0.72137 0.85271 18.2% 39.9 35s
11814 4117 0.80468 37 111 0.72137 0.85012 17.8% 40.4 40s
H12873 4373 0.7213724 0.84740 17.5% 41.1 43s
12902 4364 cutoff 42 0.72137 0.84740 17.5% 41.2 45s
14858 4921 0.83176 37 112 0.72137 0.84420 17.0% 41.7 50s
16117 5183 0.76575 37 124 0.72137 0.84144 16.6% 42.5 55s
17644 5516 0.73039 41 116 0.72137 0.83827 16.2% 43.0 60s
19603 6025 0.78132 36 112 0.72137 0.83556 15.8% 43.3 65s
20263 6127 0.80489 32 131 0.72137 0.83460 15.7% 43.7 70s
20594 6207 cutoff 41 0.72137 0.83410 15.6% 43.7 82s
21259 6348 0.77848 37 143 0.72137 0.83318 15.5% 43.9 85s
22562 6581 infeasible 32 0.72137 0.83089 15.2% 45.3 90s
23831 6839 0.73413 48 122 0.72137 0.82920 14.9% 46.2 95s
24911 6998 cutoff 37 0.72137 0.82738 14.7% 47.3 100s
26057 7148 0.76188 40 117 0.72137 0.82570 14.5% 48.3 106s
27007 7243 0.78137 40 123 0.72137 0.82368 14.2% 49.0 110s
28274 7435 0.72625 41 115 0.72137 0.82139 13.9% 49.8 116s
29151 7573 0.79011 37 126 0.72137 0.81984 13.6% 50.4 120s
30425 7839 0.76435 47 125 0.72137 0.81839 13.4% 51.0 126s
31407 7982 0.75656 38 109 0.72137 0.81682 13.2% 51.5 130s
32614 8313 0.74229 43 118 0.72137 0.81514 13.0% 51.6 135s
33575 8416 0.76500 40 125 0.72137 0.81366 12.8% 52.2 140s
35060 8668 0.75570 37 143 0.72137 0.81176 12.5% 52.7 146s
36192 8924 infeasible 43 0.72137 0.81040 12.3% 52.9 151s
37350 9218 0.73218 45 120 0.72137 0.80919 12.2% 53.1 156s
38532 9478 infeasible 41 0.72137 0.80776 12.0% 53.3 160s
39704 9760 0.76447 47 108 0.72137 0.80632 11.8% 53.4 165s
40877 9985 0.75751 35 123 0.72137 0.80512 11.6% 53.6 170s
42081 10193 cutoff 38 0.72137 0.80377 11.4% 53.8 175s
43355 10436 0.76633 46 104 0.72137 0.80221 11.2% 53.9 180s
44642 10751 cutoff 34 0.72137 0.80092 11.0% 53.9 185s
45823 10949 cutoff 41 0.72137 0.79999 10.9% 54.1 190s
47496 11208 infeasible 40 0.72137 0.79826 10.7% 54.2 196s
48799 11471 0.73131 53 100 0.72137 0.79709 10.5% 54.3 201s
49293 11567 0.76635 44 121 0.72137 0.79666 10.4% 54.3 205s
50704 11900 infeasible 39 0.72137 0.79560 10.3% 54.1 210s
52137 12239 0.72780 41 139 0.72137 0.79461 10.2% 54.0 215s
53276 12431 0.78453 43 112 0.72137 0.79355 10.0% 54.1 220s
54613 12657 0.74637 43 123 0.72137 0.79254 9.87% 54.0 225s
55908 12969 cutoff 51 0.72137 0.79182 9.77% 53.9 230s
57216 13177 0.76538 44 108 0.72137 0.79082 9.63% 53.9 235s
58902 13489 cutoff 42 0.72137 0.78964 9.46% 53.9 241s
60221 13742 0.73665 47 108 0.72137 0.78873 9.34% 53.9 246s
61572 14004 0.75015 54 101 0.72137 0.78789 9.22% 53.8 250s
62886 14234 cutoff 39 0.72137 0.78727 9.14% 53.7 255s
64257 14465 0.72387 36 124 0.72137 0.78635 9.01% 53.6 260s
65966 14816 0.73085 45 117 0.72137 0.78501 8.82% 53.6 267s
66422 14836 cutoff 57 0.72137 0.78477 8.79% 53.6 270s
67792 15064 cutoff 43 0.72137 0.78389 8.67% 53.6 275s
69504 15314 infeasible 37 0.72137 0.78296 8.54% 53.6 281s
70765 15509 0.75661 38 121 0.72137 0.78225 8.44% 53.6 285s
72087 15690 cutoff 37 0.72137 0.78158 8.35% 53.5 290s
73644 15914 0.76494 39 134 0.72137 0.78073 8.23% 53.5 296s
75020 16171 0.75951 46 110 0.72137 0.78006 8.14% 53.3 300s
76675 16350 cutoff 58 0.72137 0.77914 8.01% 53.3 306s
77919 16486 cutoff 43 0.72137 0.77844 7.91% 53.3 310s
79141 16658 0.76562 51 112 0.72137 0.77767 7.80% 53.2 315s
80874 16896 0.74151 41 132 0.72137 0.77695 7.70% 53.2 320s
82206 17036 0.75742 41 136 0.72137 0.77631 7.62% 53.1 325s
83932 17086 infeasible 47 0.72137 0.77558 7.52% 53.1 330s
84393 17090 cutoff 44 0.72137 0.77538 7.49% 53.1 335s
H84642 17106 0.7213724 0.77533 7.48% 53.1 335s
85669 17152 cutoff 51 0.72137 0.77469 7.39% 53.1 340s
87474 17318 0.72472 44 104 0.72137 0.77382 7.27% 53.0 346s
88814 17508 0.73352 43 131 0.72137 0.77327 7.19% 52.9 350s
89799 17682 0.74964 36 123 0.72137 0.77292 7.15% 52.8 355s
H89863 17687 0.7213724 0.77292 7.15% 52.8 355s
91350 17805 0.73627 37 125 0.72137 0.77236 7.07% 52.6 361s
92989 18170 0.73445 43 126 0.72137 0.77185 7.00% 52.4 365s
94928 18554 cutoff 57 0.72137 0.77123 6.91% 52.2 371s
96285 18848 0.75154 41 115 0.72137 0.77077 6.85% 52.0 375s
98309 19338 0.73207 101 66 0.72137 0.77027 6.78% 51.8 380s
100294 19991 0.72673 64 110 0.72137 0.76985 6.72% 51.4 385s
102100 20470 0.74287 42 129 0.72137 0.76942 6.66% 51.2 390s
103650 21068 0.75389 72 84 0.72137 0.76922 6.63% 50.8 395s
105567 21663 infeasible 51 0.72137 0.76882 6.58% 50.5 400s
108196 22509 cutoff 34 0.72137 0.76834 6.51% 50.1 405s
110295 23209 0.73276 36 130 0.72137 0.76806 6.47% 49.8 410s
112112 23750 0.74053 48 121 0.72137 0.76771 6.42% 49.5 415s
113947 24146 cutoff 36 0.72137 0.76734 6.37% 49.3 420s
115752 24605 infeasible 48 0.72137 0.76703 6.33% 49.1 425s
117527 25033 0.76362 61 94 0.72137 0.76678 6.29% 48.9 430s
119721 25583 0.74236 48 126 0.72137 0.76639 6.24% 48.7 435s
121977 26356 0.72737 40 122 0.72137 0.76614 6.21% 48.3 440s
124363 27046 0.75113 61 106 0.72137 0.76583 6.16% 48.0 445s
126726 27776 0.72990 61 107 0.72137 0.76555 6.12% 47.7 450s
128771 28207 infeasible 51 0.72137 0.76525 6.08% 47.6 455s
130791 28612 0.73515 45 116 0.72137 0.76492 6.04% 47.4 460s
132991 29157 0.73090 51 107 0.72137 0.76463 6.00% 47.2 465s
134675 29529 0.73533 66 91 0.72137 0.76436 5.96% 47.1 470s
136631 29882 0.72906 53 115 0.72137 0.76409 5.92% 47.0 475s
138298 30253 0.73013 48 114 0.72137 0.76383 5.89% 46.9 480s
140409 30790 cutoff 44 0.72137 0.76353 5.84% 46.7 485s
142666 31341 cutoff 73 0.72137 0.76324 5.80% 46.6 490s
144302 31606 cutoff 64 0.72137 0.76304 5.78% 46.5 495s
145966 31908 cutoff 42 0.72137 0.76283 5.75% 46.4 500s
147581 32183 0.72600 37 137 0.72137 0.76257 5.71% 46.3 505s
149610 32534 cutoff 52 0.72137 0.76232 5.68% 46.2 510s
151285 32910 0.72619 56 115 0.72137 0.76210 5.65% 46.2 515s
152900 33190 0.75523 63 104 0.72137 0.76190 5.62% 46.1 520s
155345 33738 infeasible 58 0.72137 0.76165 5.58% 45.9 525s
157113 34077 0.74276 69 97 0.72137 0.76148 5.56% 45.8 530s
159069 34520 0.73275 71 90 0.72137 0.76135 5.54% 45.7 535s
161162 34896 0.73143 45 116 0.72137 0.76109 5.51% 45.6 540s
162506 35196 0.72918 52 115 0.72137 0.76100 5.49% 45.6 545s
164051 35426 0.75947 57 111 0.72137 0.76085 5.47% 45.5 550s
165796 35687 cutoff 56 0.72137 0.76069 5.45% 45.5 555s
167497 35918 0.72697 77 92 0.72137 0.76055 5.43% 45.5 560s
169374 36259 0.73167 64 93 0.72137 0.76040 5.41% 45.4 565s
171330 36595 cutoff 43 0.72137 0.76022 5.39% 45.4 570s
173497 36997 0.72258 49 119 0.72137 0.76004 5.36% 45.2 575s
175234 37295 0.74791 42 142 0.72137 0.75986 5.33% 45.2 580s
176539 37573 0.74413 48 130 0.72137 0.75973 5.32% 45.2 585s
177891 37788 0.72958 37 146 0.72137 0.75961 5.30% 45.1 590s
179169 37994 0.73061 49 122 0.72137 0.75952 5.29% 45.1 595s
181517 38412 cutoff 101 0.72137 0.75931 5.26% 45.0 600s
Cutting planes:
Gomory: 129
Cover: 4
Implied bound: 82
Projected implied bound: 59
MIR: 49
Flow cover: 174
Inf proof: 418
Explored 181547 nodes (8172637 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.721372 0.721372 0.721372 0.721372
Time limit reached
Best objective 7.213723566270e-01, best bound 7.593106269965e-01, gap 5.2592%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 2
Seed for training 664
Seed for simulation 621
direc: array([[ 0.00000000e+00, -2.34223721e-03, 1.33986910e-03],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.88854383e+00]])
fopt: 0.40425446621453826
fun: -0.4042713713391384
message: 'Optimization terminated successfully.'
nfev: 588
nit: 6
status: 0
success: True
x: array([210.77603509, -0.75045122, 9.06604629])
xopt: array([210., 0., 10.])
zopt: array([210., 210., 220.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8hrngcms.pyomo.lp
Reading time = 0.02 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd0a7q89n.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.404254
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.039343e+00, 1004 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03934 0 94 0.40425 1.03934 157% - 0s
0 0 0.95586 0 116 0.40425 0.95586 136% - 0s
0 0 0.95586 0 116 0.40425 0.95586 136% - 0s
0 0 0.95183 0 128 0.40425 0.95183 135% - 0s
0 0 0.95182 0 122 0.40425 0.95182 135% - 0s
0 0 0.94642 0 127 0.40425 0.94642 134% - 0s
0 0 0.94642 0 127 0.40425 0.94642 134% - 0s
0 0 0.94612 0 129 0.40425 0.94612 134% - 0s
0 0 0.94612 0 107 0.40425 0.94612 134% - 0s
0 2 0.94612 0 107 0.40425 0.94612 134% - 0s
827 608 0.86415 21 127 0.40425 0.90057 123% 31.2 5s
* 1188 715 140 0.4965256 0.88818 78.9% 31.1 6s
2218 920 0.85351 28 108 0.49653 0.86744 74.7% 37.1 10s
3737 1579 0.64693 39 106 0.49653 0.85704 72.6% 40.1 15s
5412 2148 0.78899 31 122 0.49653 0.84970 71.1% 41.3 20s
H 5601 2201 0.4989894 0.84934 70.2% 41.4 20s
H 6770 2334 0.5270638 0.84440 60.2% 41.5 24s
H 6772 2334 0.5270638 0.84440 60.2% 41.5 24s
6924 2400 0.83657 41 108 0.52706 0.84371 60.1% 41.4 25s
8640 2951 cutoff 45 0.52706 0.83826 59.0% 42.0 30s
H 8995 3002 0.5392495 0.83723 55.3% 42.0 32s
9970 3311 0.63543 37 97 0.53925 0.83336 54.5% 42.3 35s
11661 3888 0.65611 57 103 0.53925 0.82897 53.7% 42.3 40s
13421 4417 infeasible 50 0.53925 0.82353 52.7% 43.3 45s
14988 4958 infeasible 29 0.53925 0.82026 52.1% 43.7 50s
16773 5550 0.59274 59 82 0.53925 0.81675 51.5% 44.0 56s
18266 5956 0.79096 52 112 0.53925 0.81417 51.0% 44.4 60s
20086 6578 0.70825 67 85 0.53925 0.81113 50.4% 44.2 65s
H20652 6747 0.5432261 0.81069 49.2% 44.1 80s
20665 6756 0.54840 33 177 0.54323 0.81069 49.2% 44.1 85s
20676 6763 0.65313 59 193 0.54323 0.81069 49.2% 44.1 90s
20682 6767 0.70890 29 181 0.54323 0.81069 49.2% 44.1 95s
20689 6772 0.79747 36 194 0.54323 0.81069 49.2% 44.0 101s
20696 6777 0.66198 57 205 0.54323 0.81069 49.2% 44.0 105s
20703 6781 0.77524 63 219 0.54323 0.81069 49.2% 44.0 110s
20710 6786 0.72040 97 215 0.54323 0.81069 49.2% 44.0 115s
20716 6790 0.72090 25 234 0.54323 0.81069 49.2% 44.0 120s
20721 6793 0.67380 34 237 0.54323 0.81069 49.2% 44.0 125s
20726 6797 0.76968 57 231 0.54323 0.81069 49.2% 44.0 130s
20734 6802 0.78165 36 202 0.54323 0.81069 49.2% 43.9 135s
20740 6806 0.71396 54 217 0.54323 0.81069 49.2% 43.9 140s
20746 6810 0.64546 81 197 0.54323 0.81069 49.2% 43.9 146s
20752 6814 0.63540 62 195 0.54323 0.81069 49.2% 43.9 150s
20759 6819 0.74439 77 217 0.54323 0.81069 49.2% 43.9 155s
20766 6823 0.58320 40 198 0.54323 0.81069 49.2% 43.9 160s
H20769 6481 0.6417769 0.81069 26.3% 43.9 163s
20772 6483 0.64178 71 197 0.64178 0.81069 26.3% 43.9 165s
H20775 6159 0.6807147 0.81069 19.1% 43.9 168s
20778 6161 0.68071 50 203 0.68071 0.81069 19.1% 43.9 170s
20782 6164 0.70890 29 203 0.68071 0.81069 19.1% 43.8 175s
20788 6168 0.72817 33 197 0.68071 0.81069 19.1% 43.8 180s
20794 6172 0.68071 57 204 0.68071 0.81069 19.1% 43.8 185s
20800 6176 0.68071 59 204 0.68071 0.81069 19.1% 43.8 190s
20807 6184 0.81069 25 198 0.68071 0.81069 19.1% 45.4 197s
20809 6183 0.80118 26 196 0.68071 0.81069 19.1% 45.4 201s
20817 6182 0.81069 28 188 0.68071 0.81069 19.1% 45.5 205s
H20865 5880 0.7136120 0.81069 13.6% 45.8 210s
21251 6001 0.81069 36 195 0.71361 0.81069 13.6% 46.1 215s
H21503 5653 0.7532040 0.81069 7.63% 46.5 218s
21590 5666 0.81069 34 173 0.75320 0.81069 7.63% 46.8 220s
21949 5660 0.79669 44 165 0.75320 0.81069 7.63% 47.9 225s
H22310 5410 0.7550468 0.81069 7.37% 48.8 228s
22430 5424 0.76282 65 140 0.75505 0.81069 7.37% 49.1 230s
22829 5433 0.79709 43 175 0.75505 0.81010 7.29% 50.0 235s
23251 5493 infeasible 51 0.75505 0.80932 7.19% 51.5 240s
23742 5535 0.77885 79 94 0.75505 0.80858 7.09% 53.1 245s
24195 5643 cutoff 50 0.75505 0.80793 7.00% 53.6 250s
24576 5687 0.79422 45 167 0.75505 0.80745 6.94% 54.9 255s
24910 5661 0.78632 39 169 0.75505 0.80693 6.87% 56.5 260s
25352 5669 cutoff 51 0.75505 0.80629 6.79% 57.9 265s
25704 5620 0.77480 50 163 0.75505 0.80546 6.68% 59.7 271s
25940 5611 0.76256 48 176 0.75505 0.80508 6.63% 60.7 278s
25967 5613 0.76233 49 174 0.75505 0.80489 6.60% 60.7 280s
26241 5581 cutoff 43 0.75505 0.80443 6.54% 62.3 285s
26662 5559 infeasible 54 0.75505 0.80386 6.46% 63.6 291s
27128 5532 0.79907 40 186 0.75505 0.80304 6.36% 65.3 296s
27525 5478 0.78484 54 175 0.75505 0.80265 6.31% 67.1 302s
27736 5454 0.78382 51 160 0.75505 0.80188 6.20% 68.1 305s
28076 5367 cutoff 53 0.75505 0.80132 6.13% 69.7 312s
28295 5325 0.78146 46 178 0.75505 0.80116 6.11% 70.8 315s
28736 5231 cutoff 43 0.75505 0.80018 5.98% 72.9 322s
29002 5196 0.79791 52 161 0.75505 0.79942 5.88% 74.0 327s
29300 5151 cutoff 44 0.75505 0.79909 5.83% 74.9 331s
29621 5061 infeasible 40 0.75505 0.79839 5.74% 75.9 335s
30102 4953 0.77689 42 178 0.75505 0.79757 5.63% 78.3 344s
30414 4909 0.79152 41 129 0.75505 0.79721 5.58% 79.5 349s
30805 4890 0.79508 50 147 0.75505 0.79656 5.50% 80.5 354s
31081 4869 cutoff 47 0.75505 0.79647 5.49% 81.8 362s
31144 4800 cutoff 46 0.75505 0.79578 5.39% 82.1 367s
31587 4760 cutoff 52 0.75505 0.79536 5.34% 83.1 373s
31944 4738 infeasible 42 0.75505 0.79483 5.27% 84.1 378s
32356 4668 0.79209 50 172 0.75505 0.79435 5.21% 85.0 383s
32747 4609 0.75849 63 152 0.75505 0.79379 5.13% 85.9 388s
33214 4581 cutoff 41 0.75505 0.79299 5.03% 86.7 394s
33713 4557 cutoff 57 0.75505 0.79269 4.99% 87.4 399s
34092 4518 0.78413 56 173 0.75505 0.79223 4.92% 88.3 404s
34418 4457 0.75965 49 136 0.75505 0.79175 4.86% 89.3 409s
34780 4392 cutoff 58 0.75505 0.79152 4.83% 90.2 414s
35169 4371 0.76981 48 187 0.75505 0.79099 4.76% 90.9 421s
H35182 4100 0.7550468 0.79099 4.76% 90.9 421s
35265 4067 0.78290 47 186 0.75505 0.79091 4.75% 91.1 426s
35567 4006 0.75550 61 154 0.75505 0.79057 4.70% 92.1 432s
35963 3967 0.79042 58 172 0.75505 0.79042 4.68% 93.0 437s
36349 4042 0.77548 42 191 0.75505 0.78993 4.62% 93.7 442s
36702 4074 0.75919 55 150 0.75505 0.78941 4.55% 94.6 447s
37007 4140 0.77965 55 167 0.75505 0.78914 4.52% 95.6 453s
37462 4213 cutoff 45 0.75505 0.78872 4.46% 96.3 458s
37723 4219 0.77120 54 185 0.75505 0.78844 4.42% 97.3 463s
38077 4249 0.78148 46 186 0.75505 0.78798 4.36% 98.2 470s
38395 4276 cutoff 45 0.75505 0.78780 4.34% 99.1 475s
38808 4347 cutoff 45 0.75505 0.78725 4.27% 100 480s
39143 4369 cutoff 44 0.75505 0.78688 4.22% 101 486s
39633 4482 cutoff 50 0.75505 0.78645 4.16% 101 492s
39778 4466 cutoff 51 0.75505 0.78625 4.13% 101 498s
40296 4554 0.77839 40 193 0.75505 0.78614 4.12% 102 503s
40818 4629 infeasible 49 0.75505 0.78571 4.06% 102 509s
41268 4686 0.78152 43 122 0.75505 0.78545 4.03% 103 514s
41629 4721 cutoff 53 0.75505 0.78518 3.99% 103 519s
41976 4741 cutoff 53 0.75505 0.78459 3.91% 104 526s
42387 4800 0.76939 54 118 0.75505 0.78421 3.86% 105 532s
42901 4894 0.78290 51 154 0.75505 0.78384 3.81% 105 537s
43344 4990 0.77528 36 194 0.75505 0.78344 3.76% 105 542s
43642 4970 cutoff 52 0.75505 0.78301 3.70% 106 548s
44078 5012 cutoff 58 0.75505 0.78272 3.67% 107 553s
44595 5133 0.76061 45 178 0.75505 0.78219 3.59% 107 559s
45246 5281 cutoff 54 0.75505 0.78187 3.55% 107 565s
45826 5366 cutoff 47 0.75505 0.78181 3.54% 107 570s
46287 5431 0.75658 45 156 0.75505 0.78127 3.47% 107 575s
46642 5443 cutoff 51 0.75505 0.78086 3.42% 108 580s
47171 5484 cutoff 63 0.75505 0.78080 3.41% 108 586s
47838 5684 0.77880 69 114 0.75505 0.78028 3.34% 108 591s
48553 5934 cutoff 58 0.75505 0.78017 3.33% 107 597s
49328 6201 0.77952 68 124 0.75505 0.77963 3.26% 107 600s
Cutting planes:
Gomory: 183
Cover: 6
Implied bound: 59
Projected implied bound: 56
Clique: 1
MIR: 177
StrongCG: 3
Flow cover: 665
Inf proof: 180
Zero half: 3
Explored 49818 nodes (5308840 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.755047 0.755047 0.753204 ... 0.527064
Time limit reached
Best objective 7.550468386284e-01, best bound 7.795195079052e-01, gap 3.2412%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpml8yw560.pyomo.lp
Reading time = 0.00 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0ma0y4rk.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 673 rows and 480 columns
Presolve time: 0.00s
Presolved: 273 rows, 331 columns, 1356 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.1971467e+01 4.986250e+02 0.000000e+00 0s
157 1.3789709e+01 0.000000e+00 0.000000e+00 0s
Solved in 157 iterations and 0.01 seconds
Optimal objective 1.378970888e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.2415281 , 0.59969622, 0.01332869]])
fopt: 2.5344716051961793
fun: -2.5616978107128565
message: 'Optimization terminated successfully.'
nfev: 197
nit: 3
status: 0
success: True
x: array([ 37.00023925, -84.99740274, -0.99992051])
xopt: array([37., 0., 0.])
zopt: array([37., 37., 37.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.04646436, 0.09162229, 0.00151604]])
fopt: 2.2319201307526386
fun: -2.2445322529548584
message: 'Optimization terminated successfully.'
nfev: 240
nit: 4
status: 0
success: True
x: array([ 55.44109974, -101.91299824, -0.99993919])
xopt: array([55., 0., 0.])
zopt: array([55., 55., 55.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.96774746e-01, 1.34343160e-02, -1.28204386e-04]])
fopt: 2.0896622942398384
fun: -2.102997999473507
message: 'Optimization terminated successfully.'
nfev: 441
nit: 5
status: 0
success: True
x: array([73.99333369, -0.97926036, -0.97777524])
xopt: array([74., 0., 0.])
zopt: array([74., 74., 74.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.27252961e-05, 1.31520698e-07, -2.63041395e-07]])
fopt: 1.7658245010931268
fun: -1.7655705070659753
message: 'Optimization terminated successfully.'
nfev: 175
nit: 2
status: 0
success: True
x: array([ 9.77550959e+01, 2.00000011e+00, -1.00002510e-02])
xopt: array([97., 2., 0.])
zopt: array([97., 99., 99.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1509
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1482
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2427: RuntimeWarning: overflow encountered in add return func(p + alpha*xi)
direc: array([[ 1.00000000e+000, 0.00000000e+000, 0.00000000e+000],
[ 0.00000000e+000, 1.00000000e+000, 0.00000000e+000],
[-5.80877923e+305, 0.00000000e+000, -1.71177593e+308]])
fopt: -0.16257798623758385
fun: nan
message: 'NaN result encountered.'
nfev: 1065
nit: 3
status: 3
success: False
x: array([-2.08414872e+306, 3.58792896e+000, -inf])
xopt: array([0., 3., 0.])
zopt: array([0., 3., 3.])
*******************************************
Period: 9
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.10112758, 0. , 0. ]])
fopt: 1.2426142424827884
fun: -1.241637220694408
message: 'Optimization terminated successfully.'
nfev: 330
nit: 3
status: 0
success: True
x: array([172.99436939, 2.13001278, 1. ])
xopt: array([172., 3., 1.])
zopt: array([172., 175., 176.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.1230338810708125
fun: -1.12552838309142
message: 'Optimization terminated successfully.'
nfev: 251
nit: 3
status: 0
success: True
x: array([190.98453705, 2.00709034, -0.99999999])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0170407239225168
fun: -1.018527632685742
message: 'Optimization terminated successfully.'
nfev: 449
nit: 5
status: 0
success: True
x: array([190.99999944, 2.01202535, -0.97948211])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.9137959761635935
fun: -0.9148355401299297
message: 'Optimization terminated successfully.'
nfev: 295
nit: 3
status: 0
success: True
x: array([191.99967788, 1.07643231, -0.342043 ])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 13
direc: array([[ 1., 0., 0.],
[ 0., 0., 1.],
[ 0., 0., -0.]])
fopt: 0.8376830736653841
fun: -0.8388527180682734
message: 'Optimization terminated successfully.'
nfev: 361
nit: 4
status: 0
success: True
x: array([190.9878844 , 2.08261099, -0.99826394])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7683549967893424
fun: -0.7697007879124061
message: 'Optimization terminated successfully.'
nfev: 264
nit: 4
status: 0
success: True
x: array([190.99942582, 2.00149085, -0.88501615])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 15
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7061845807101435
fun: -0.7042524856286825
message: 'Optimization terminated successfully.'
nfev: 417
nit: 4
status: 0
success: True
x: array([192.99085492, 1.00813062, -1.16485979])
xopt: array([192., 1., 0.])
zopt: array([192., 193., 193.])
*******************************************
Period: 16
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6506212332456587
fun: -0.6486606113512897
message: 'Optimization terminated successfully.'
nfev: 251
nit: 3
status: 0
success: True
x: array([192.98842064, 1.00813062, -1.17612761])
xopt: array([192., 1., 0.])
zopt: array([192., 193., 193.])
*******************************************
Period: 17
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6056010800949486
fun: -0.6065772020018619
message: 'Optimization terminated successfully.'
nfev: 329
nit: 4
status: 0
success: True
x: array([191.99603377, 1.00000003, -0.61721802])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 18
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5616205322378004
fun: -0.5627117993292357
message: 'Optimization terminated successfully.'
nfev: 193
nit: 3
status: 0
success: True
x: array([190.99996796, 2.00018564, -0.95065265])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 19
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.46727615e-11, -2.61294999e-15, 8.47886114e-16]])
fopt: 0.5208442293105806
fun: -0.5220303658043999
message: 'Optimization terminated successfully.'
nfev: 317
nit: 3
status: 0
success: True
x: array([191.99999543, 1.01019496, -0.99999806])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 20
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.48526279276275597
fun: -0.48639496997797843
message: 'Optimization terminated successfully.'
nfev: 449
nit: 5
status: 0
success: True
x: array([190.9934664 , 2.00153095, -0.99829717])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 21
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4514198978264525
fun: -0.4521313277037194
message: 'Optimization terminated successfully.'
nfev: 225
nit: 3
status: 0
success: True
x: array([190.99970104, 2.08031497, -0.97389368])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 22
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.22146764e-08, 3.92670000e-10, -5.39419456e-10]])
fopt: 0.48806829922438555
fun: -0.49057265452863896
message: 'Optimization terminated successfully.'
nfev: 341
nit: 3
status: 0
success: True
x: array([190.01881158, 3.02779685, -0.41190723])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.86869603e-07, 2.07716537e-11, -4.23380738e-09]])
fopt: 0.512572731909028
fun: -0.5138331401247954
message: 'Optimization terminated successfully.'
nfev: 290
nit: 3
status: 0
success: True
x: array([191.57464667, 1.00824128, -0.65731526])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 24
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.5341477222196023
fun: -0.5350840114569614
message: 'Optimization terminated successfully.'
nfev: 222
nit: 2
status: 0
success: True
x: array([191.00990589, 2. , -1. ])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 25
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 3.29896383e-01, 0.00000000e+00, -3.41081935e-03],
[ 0.00000000e+00, -3.93774891e-05, 0.00000000e+00]])
fopt: 0.5391411552697783
fun: -0.5413454489228879
message: 'Optimization terminated successfully.'
nfev: 461
nit: 4
status: 0
success: True
x: array([191.95382733, 1.00008369, -0.99822232])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.15591838, -0. , 0.00163119]])
fopt: 0.5168652693899213
fun: -0.5179238405002524
message: 'Optimization terminated successfully.'
nfev: 325
nit: 3
status: 0
success: True
x: array([191.9909505 , 1. , -0.99999996])
xopt: array([192., 1., 0.])
zopt: array([192., 193., 193.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.01731873e-03, 0.00000000e+00, -9.30768119e-05]])
fopt: 0.5300242340405376
fun: -0.5311570670210798
message: 'Optimization terminated successfully.'
nfev: 202
nit: 2
status: 0
success: True
x: array([191.98121664, 1. , -0.99999285])
xopt: array([192., 1., 0.])
zopt: array([192., 193., 193.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.29789097e-02, 0.00000000e+00, -1.30299198e-04]])
fopt: 0.5492319984746401
fun: -0.5513172328470599
message: 'Optimization terminated successfully.'
nfev: 279
nit: 3
status: 0
success: True
x: array([191.92913345, 1.0037978 , -0.988843 ])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.53383329, 0.00282101, -0.0055725 ]])
fopt: 0.5375364188203019
fun: -0.5396560561943661
message: 'Optimization terminated successfully.'
nfev: 368
nit: 4
status: 0
success: True
x: array([190.9910628 , 2.00065284, -0.99998155])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 30
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.09010222e-02, 4.78738726e-04, -9.57017030e-04]])
fopt: 0.5385633103683058
fun: -0.5382045987996341
message: 'Optimization terminated successfully.'
nfev: 166
nit: 2
status: 0
success: True
x: array([190.9669632 , 2.00000747, -1. ])
xopt: array([190., 3., 0.])
zopt: array([190., 193., 193.])
*******************************************
Period: 31
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.11812782, -0. , 0.00122089]])
fopt: 0.5277369164756164
fun: -0.5284910952019263
message: 'Optimization terminated successfully.'
nfev: 183
nit: 2
status: 0
success: True
x: array([192.00050209, 1. , -0.9999063 ])
xopt: array([192., 1., 0.])
zopt: array([192., 193., 193.])
*******************************************
Period: 32
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.77252890e-02, -0.00000000e+00, 4.91011534e-04]])
fopt: 0.5102532669558963
fun: -0.5119243467747709
message: 'Optimization terminated successfully.'
nfev: 340
nit: 3
status: 0
success: True
x: array([191.99405221, 1. , -0.99993769])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 33
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.49032172868314305
fun: -0.4927226593609969
message: 'Optimization terminated successfully.'
nfev: 224
nit: 2
status: 0
success: True
x: array([221.17025641, 1.00111677, 1. ])
xopt: array([221., 1., 1.])
zopt: array([221., 222., 223.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.45846986, -0. , 0.00476762]])
fopt: 0.47398242248493916
fun: -0.4747140995895526
message: 'Optimization terminated successfully.'
nfev: 222
nit: 2
status: 0
success: True
x: array([192.000022 , 1. , -0.99994969])
xopt: array([192., 1., 0.])
zopt: array([192., 193., 193.])
*******************************************
Period: 35
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.36753388e-08, 4.92498669e-10, -9.80567391e-10]])
fopt: 0.45974010006017413
fun: -0.4612588337081407
message: 'Optimization terminated successfully.'
nfev: 243
nit: 2
status: 0
success: True
x: array([191.20424774, 2. , -0.9910052 ])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 36
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.23485645, 0. , -0.00245554]])
fopt: 0.4444627637351003
fun: -0.44597823903744077
message: 'Optimization terminated successfully.'
nfev: 335
nit: 3
status: 0
success: True
x: array([191.98920399, 1.0043191 , -0.99999291])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 37
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 0.43052549206482776
fun: -0.4307967240267667
message: 'Optimization terminated successfully.'
nfev: 195
nit: 2
status: 0
success: True
x: array([191.15359372, 2. , -0.99969585])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 38
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.27852559, -0. , 0.00276023]])
fopt: 0.41719567080482206
fun: -0.41851108889258093
message: 'Optimization terminated successfully.'
nfev: 350
nit: 3
status: 0
success: True
x: array([191.89020482, 1.02179885, -0.99625982])
xopt: array([191., 2., 0.])
zopt: array([191., 193., 193.])
*******************************************
Period: 39
direc: array([[-1.47249618e+00, 4.76255413e+01, 2.72392023e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.19220148e-02, -1.90576830e-08, 0.00000000e+00]])
fopt: 0.7683997449804721
fun: -0.7644913930496231
message: 'Optimization terminated successfully.'
nfev: 735
nit: 12
status: 0
success: True
x: array([ 89.63909403, 153.5585145 , 89.10470172])
xopt: array([ 89., 153., 90.])
zopt: array([ 89., 242., 332.])
*******************************************
Period: 40
direc: array([[-1.33390288e+01, 7.89927701e+01, 3.46321907e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.02091968e-08, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7291553949084887
fun: -0.7292909912881146
message: 'Optimization terminated successfully.'
nfev: 717
nit: 10
status: 0
success: True
x: array([ 83.99074709, 198.00000248, 88.01830991])
xopt: array([ 84., 198., 89.])
zopt: array([ 84., 282., 371.])
*******************************************
Period: 41
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-2.44873363, 73.51817796, 42.0103874 ]])
fopt: 0.7458423359624627
fun: -0.7449703895008905
message: 'Optimization terminated successfully.'
nfev: 603
nit: 9
status: 0
success: True
x: array([ 80.84062014, 182.00083148, 104.12226491])
xopt: array([ 81., 182., 105.])
zopt: array([ 81., 263., 368.])
*******************************************
Period: 42
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.53241906, 54.21934894, 36.14623263]])
fopt: 0.4621406445919717
fun: -0.4617083303986158
message: 'Optimization terminated successfully.'
nfev: 422
nit: 6
status: 0
success: True
x: array([231.48617609, 60.00176637, 41.1708338 ])
xopt: array([231., 60., 42.])
zopt: array([231., 291., 333.])
*******************************************
Period: 43
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.22967361, 0. , -0.00240148]])
fopt: 0.35780913911766643
fun: -0.35830099443441066
message: 'Optimization terminated successfully.'
nfev: 214
nit: 2
status: 0
success: True
x: array([191.97316094, 1. , -0.99999987])
xopt: array([192., 1., 0.])
zopt: array([192., 193., 193.])
*******************************************
Period: 44
direc: array([[ 4.06888381e+00, 6.01735372e+00, 5.28842871e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.67170887e+02, 1.61584932e+02, -8.61478666e-03]])
fopt: 0.6356957953532382
fun: -0.635119606047822
message: 'Optimization terminated successfully.'
nfev: 714
nit: 10
status: 0
success: True
x: array([ 87.56144521, 240.01189017, 54.07141848])
xopt: array([ 87., 240., 55.])
zopt: array([ 87., 327., 382.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9lln95ve.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkffk3twi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy2b95g90.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo0p84y9m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.838827
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.534472e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.5344716 2.53447 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.53447 0.838827
Optimal solution found (tolerance 1.00e-02)
Best objective 2.534471605196e+00, best bound 2.534471605196e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7wfwz8e2.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbnnzvtud.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37732
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.231920e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.2319201 2.23192 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.23192 1.37732
Optimal solution found (tolerance 1.00e-02)
Best objective 2.231920130753e+00, best bound 2.231920130753e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_i3k1qna.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqbrj7zl9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.453
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.644897e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.64490 0 3 1.45300 2.64490 82.0% - 0s
H 0 0 2.0896623 2.64490 26.6% - 0s
0 0 cutoff 0 2.08966 2.08966 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (60 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.08966 1.453
Optimal solution found (tolerance 1.00e-02)
Best objective 2.089662294240e+00, best bound 2.089662294240e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp89hbh4pq.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcgeu93q_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57699
Presolve removed 157 rows and 110 columns
Presolve time: 0.01s
Presolved: 80 rows, 65 columns, 267 nonzeros
Variable types: 33 continuous, 32 integer (29 binary)
Root relaxation: objective 2.262452e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.26245 0 3 1.57699 2.26245 43.5% - 0s
H 0 0 1.8644722 2.26245 21.3% - 0s
H 0 0 1.8882118 2.26245 19.8% - 0s
0 0 cutoff 0 1.88821 1.88821 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 3
Explored 1 nodes (54 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.88821 1.86447 1.57699
Optimal solution found (tolerance 1.00e-02)
Best objective 1.888211816306e+00, best bound 1.888211816306e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz4l9wnvq.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpshjznn42.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39042
Presolve removed 150 rows and 102 columns
Presolve time: 0.00s
Presolved: 133 rows, 106 columns, 453 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 2.431085e+00, 79 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.43108 0 5 1.39042 2.43108 74.8% - 0s
H 0 0 1.8463856 2.43108 31.7% - 0s
0 0 1.92559 0 2 1.84639 1.92559 4.29% - 0s
0 0 1.92308 0 1 1.84639 1.92308 4.15% - 0s
H 0 0 1.8512397 1.92308 3.88% - 0s
0 0 1.92308 0 1 1.85124 1.92308 3.88% - 0s
0 0 cutoff 0 1.85124 1.85124 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (137 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.85124 1.84639 1.39042
Optimal solution found (tolerance 1.00e-02)
Best objective 1.851239663933e+00, best bound 1.851239663933e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpazut13sq.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg5r1s956.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.46999
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.429508e+00, 105 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.42951 0 9 1.46999 2.42951 65.3% - 0s
H 0 0 1.8157522 2.42951 33.8% - 0s
0 0 2.15458 0 13 1.81575 2.15458 18.7% - 0s
0 0 1.94731 0 5 1.81575 1.94731 7.25% - 0s
0 0 1.94710 0 5 1.81575 1.94710 7.23% - 0s
0 0 1.94710 0 5 1.81575 1.94710 7.23% - 0s
0 0 1.93278 0 1 1.81575 1.93278 6.45% - 0s
* 0 0 0 1.8249696 1.82497 0.00% - 0s
Explored 1 nodes (217 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.82497 1.81575 1.46999
Optimal solution found (tolerance 1.00e-02)
Best objective 1.824969555732e+00, best bound 1.824969555732e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8hea76ie.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwgbxkze8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.48559
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.385267e+00, 137 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.38527 0 11 1.48559 2.38527 60.6% - 0s
0 0 2.02921 0 16 1.48559 2.02921 36.6% - 0s
0 0 1.91089 0 7 1.48559 1.91089 28.6% - 0s
0 0 1.91022 0 7 1.48559 1.91022 28.6% - 0s
0 0 1.91022 0 7 1.48559 1.91022 28.6% - 0s
H 0 0 1.7669638 1.91022 8.11% - 0s
0 0 1.91022 0 5 1.76696 1.91022 8.11% - 0s
0 0 1.87950 0 4 1.76696 1.87950 6.37% - 0s
0 0 1.83600 0 3 1.76696 1.83600 3.91% - 0s
0 0 1.77536 0 2 1.76696 1.77536 0.48% - 0s
Cutting planes:
Gomory: 5
Cover: 1
Implied bound: 1
MIR: 1
Explored 1 nodes (309 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.76696 1.48559
Optimal solution found (tolerance 1.00e-02)
Best objective 1.766963830265e+00, best bound 1.775358877555e+00, gap 0.4751%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8lzc8vbt.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd5q98_vv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49655
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.272662e+00, 148 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.27266 0 12 1.49655 2.27266 51.9% - 0s
H 0 0 1.6542610 2.27266 37.4% - 0s
0 0 1.86201 0 19 1.65426 1.86201 12.6% - 0s
0 0 1.85428 0 21 1.65426 1.85428 12.1% - 0s
0 0 1.85410 0 21 1.65426 1.85410 12.1% - 0s
0 0 1.85401 0 21 1.65426 1.85401 12.1% - 0s
0 0 1.85401 0 21 1.65426 1.85401 12.1% - 0s
0 0 1.85401 0 21 1.65426 1.85401 12.1% - 0s
0 2 1.85234 0 20 1.65426 1.85234 12.0% - 0s
Cutting planes:
Gomory: 8
Implied bound: 3
MIR: 2
Flow cover: 8
Explored 9 nodes (314 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.65426 1.49655
Optimal solution found (tolerance 1.00e-02)
Best objective 1.654260962399e+00, best bound 1.669857643839e+00, gap 0.9428%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph6zt01cz.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5lf41_8i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.4497
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 2.193110e+00, 175 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19311 0 15 1.44970 2.19311 51.3% - 0s
H 0 0 1.5836598 2.19311 38.5% - 0s
0 0 1.81130 0 26 1.58366 1.81130 14.4% - 0s
0 0 1.80934 0 26 1.58366 1.80934 14.3% - 0s
0 0 1.80934 0 26 1.58366 1.80934 14.3% - 0s
0 2 1.80934 0 26 1.58366 1.80934 14.3% - 0s
* 29 2 12 1.5943519 1.61083 1.03% 7.4 0s
Cutting planes:
Gomory: 7
Implied bound: 3
MIR: 2
Flow cover: 9
Explored 32 nodes (498 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.59435 1.58366 1.4497
Optimal solution found (tolerance 1.00e-02)
Best objective 1.594351877926e+00, best bound 1.609724082829e+00, gap 0.9642%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3dcs80wl.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3k0wo6_5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.44551
Presolve removed 214 rows and 141 columns
Presolve time: 0.00s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.993057e+00, 185 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99306 0 16 1.44551 1.99306 37.9% - 0s
0 0 1.61601 0 18 1.44551 1.61601 11.8% - 0s
0 0 1.61367 0 18 1.44551 1.61367 11.6% - 0s
0 0 1.61364 0 18 1.44551 1.61364 11.6% - 0s
0 0 1.61199 0 17 1.44551 1.61199 11.5% - 0s
0 0 1.61199 0 17 1.44551 1.61199 11.5% - 0s
0 2 1.61199 0 17 1.44551 1.61199 11.5% - 0s
Cutting planes:
Gomory: 7
Implied bound: 6
MIR: 1
Flow cover: 8
Explored 18 nodes (379 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.44551
Optimal solution found (tolerance 1.00e-02)
Best objective 1.445511630154e+00, best bound 1.459363105473e+00, gap 0.9582%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpccvgelv6.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprjl4o2qd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30996
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 2.015683e+00, 211 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.01568 0 21 1.30996 2.01568 53.9% - 0s
H 0 0 1.4669020 2.01568 37.4% - 0s
0 0 1.65672 0 27 1.46690 1.65672 12.9% - 0s
0 0 1.65548 0 28 1.46690 1.65548 12.9% - 0s
0 0 1.65548 0 28 1.46690 1.65548 12.9% - 0s
0 2 1.65401 0 26 1.46690 1.65401 12.8% - 0s
* 84 0 14 1.4810972 1.48896 0.53% 4.2 0s
Cutting planes:
Gomory: 8
Implied bound: 7
MIR: 3
Flow cover: 10
Explored 86 nodes (702 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.4811 1.4669 1.30996
Optimal solution found (tolerance 1.00e-02)
Best objective 1.481097158109e+00, best bound 1.488963675376e+00, gap 0.5311%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc3g0mka4.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5oe90t_7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32375
Presolve removed 242 rows and 159 columns
Presolve time: 0.00s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.945854e+00, 260 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94585 0 24 1.32375 1.94585 47.0% - 0s
H 0 0 1.3995368 1.94585 39.0% - 0s
0 0 1.59443 0 16 1.39954 1.59443 13.9% - 0s
0 0 1.59387 0 16 1.39954 1.59387 13.9% - 0s
0 0 1.59357 0 20 1.39954 1.59357 13.9% - 0s
0 0 1.59357 0 20 1.39954 1.59357 13.9% - 0s
0 2 1.59357 0 20 1.39954 1.59357 13.9% - 0s
* 88 29 21 1.4136840 1.48492 5.04% 5.2 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 7
MIR: 1
Flow cover: 12
Inf proof: 8
Explored 250 nodes (1687 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.41368 1.39954 1.32375
Optimal solution found (tolerance 1.00e-02)
Best objective 1.413683984052e+00, best bound 1.413683984052e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvds46w0f.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpln3bsc9b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.274
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.900376e+00, 273 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90038 0 27 1.27400 1.90038 49.2% - 0s
0 0 1.57302 0 23 1.27400 1.57302 23.5% - 0s
0 0 1.57102 0 20 1.27400 1.57102 23.3% - 0s
0 0 1.57085 0 22 1.27400 1.57085 23.3% - 0s
0 0 1.57065 0 20 1.27400 1.57065 23.3% - 0s
0 0 1.57065 0 20 1.27400 1.57065 23.3% - 0s
H 0 0 1.3513329 1.57065 16.2% - 0s
0 2 1.57065 0 20 1.35133 1.57065 16.2% - 0s
* 93 31 24 1.3755626 1.46990 6.86% 5.6 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 10
Flow cover: 19
Inf proof: 7
Explored 329 nodes (2096 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.37556 1.35133 1.274
Optimal solution found (tolerance 1.00e-02)
Best objective 1.375562609734e+00, best bound 1.375562609734e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpafm6hda1.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa7mfmug4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25924
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.820428e+00, 308 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82043 0 30 1.25924 1.82043 44.6% - 0s
0 0 1.50488 0 24 1.25924 1.50488 19.5% - 0s
0 0 1.50286 0 22 1.25924 1.50286 19.3% - 0s
0 0 1.50272 0 22 1.25924 1.50272 19.3% - 0s
0 0 1.50254 0 20 1.25924 1.50254 19.3% - 0s
0 0 1.50254 0 20 1.25924 1.50254 19.3% - 0s
0 2 1.50254 0 20 1.25924 1.50254 19.3% - 0s
* 150 36 29 1.2890132 1.34122 4.05% 5.8 0s
* 324 22 26 1.3029533 1.32059 1.35% 4.8 0s
Cutting planes:
Gomory: 9
Implied bound: 3
Flow cover: 16
Inf proof: 1
Explored 393 nodes (2331 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.30295 1.28901 1.25924
Optimal solution found (tolerance 1.00e-02)
Best objective 1.302953271301e+00, best bound 1.302953271301e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp7hv96y7.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgwfowi63.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18372
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.814204e+00, 327 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81420 0 32 1.18372 1.81420 53.3% - 0s
0 0 1.51130 0 27 1.18372 1.51130 27.7% - 0s
0 0 1.50926 0 24 1.18372 1.50926 27.5% - 0s
0 0 1.50925 0 24 1.18372 1.50925 27.5% - 0s
0 0 1.50918 0 24 1.18372 1.50918 27.5% - 0s
0 0 1.50918 0 24 1.18372 1.50918 27.5% - 0s
H 0 0 1.2782673 1.50918 18.1% - 0s
0 2 1.50918 0 24 1.27827 1.50918 18.1% - 0s
* 691 93 36 1.2832213 1.32058 2.91% 4.0 0s
* 729 79 33 1.2914428 1.32058 2.26% 3.9 0s
* 810 43 36 1.2943169 1.32041 2.02% 4.0 0s
* 814 28 35 1.2973710 1.32041 1.78% 4.0 0s
H 865 11 1.3015793 1.30985 0.64% 4.1 0s
Cutting planes:
Gomory: 11
Cover: 3
Implied bound: 4
Flow cover: 22
Inf proof: 8
Explored 885 nodes (4133 simplex iterations) in 0.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.30158 1.29737 1.29432 ... 1.18372
Optimal solution found (tolerance 1.00e-02)
Best objective 1.301579336379e+00, best bound 1.307524303595e+00, gap 0.4568%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6osqrtgd.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp__lwd3rc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18377
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.793100e+00, 341 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79310 0 36 1.18377 1.79310 51.5% - 0s
0 0 1.49566 0 30 1.18377 1.49566 26.3% - 0s
0 0 1.49313 0 29 1.18377 1.49313 26.1% - 0s
0 0 1.49301 0 29 1.18377 1.49301 26.1% - 0s
0 0 1.49301 0 29 1.18377 1.49301 26.1% - 0s
H 0 0 1.2526866 1.49301 19.2% - 0s
0 2 1.49301 0 29 1.25269 1.49301 19.2% - 0s
* 188 97 41 1.2563967 1.34073 6.71% 5.7 0s
* 1086 168 37 1.2620311 1.30815 3.65% 5.2 0s
* 1366 69 37 1.2717100 1.28771 1.26% 5.1 0s
Cutting planes:
Gomory: 16
Cover: 3
Implied bound: 14
MIR: 2
Flow cover: 19
Inf proof: 16
Explored 1442 nodes (7969 simplex iterations) in 0.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.27171 1.26203 1.2564 ... 1.18377
Optimal solution found (tolerance 1.00e-02)
Best objective 1.271710024890e+00, best bound 1.281644465013e+00, gap 0.7812%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpylqsjv3j.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1pt0j9mr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16427
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.760759e+00, 390 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76076 0 43 1.16427 1.76076 51.2% - 0s
0 0 1.46619 0 39 1.16427 1.46619 25.9% - 0s
0 0 1.46435 0 38 1.16427 1.46435 25.8% - 0s
0 0 1.46435 0 40 1.16427 1.46435 25.8% - 0s
0 0 1.46431 0 40 1.16427 1.46431 25.8% - 0s
0 0 1.46431 0 40 1.16427 1.46431 25.8% - 0s
0 2 1.46431 0 40 1.16427 1.46431 25.8% - 0s
H 3035 362 1.1673426 1.25343 7.37% 6.5 1s
* 3104 327 41 1.1772419 1.25233 6.38% 6.6 1s
* 3147 240 40 1.1942429 1.24996 4.67% 6.6 1s
* 3278 68 40 1.2366980 1.24647 0.79% 6.6 1s
* 3310 67 39 1.2371472 1.24647 0.75% 6.6 1s
Cutting planes:
Gomory: 15
Cover: 12
Implied bound: 30
MIR: 1
Flow cover: 22
Inf proof: 39
Explored 3364 nodes (22648 simplex iterations) in 1.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.23715 1.2367 1.19424 ... 1.16427
Optimal solution found (tolerance 1.00e-02)
Best objective 1.237147180508e+00, best bound 1.242864188573e+00, gap 0.4621%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppo_wy1qk.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr08_uh9i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14432
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.702576e+00, 400 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70258 0 47 1.14432 1.70258 48.8% - 0s
0 0 1.40852 0 41 1.14432 1.40852 23.1% - 0s
0 0 1.40618 0 44 1.14432 1.40618 22.9% - 0s
0 0 1.40593 0 41 1.14432 1.40593 22.9% - 0s
0 0 1.40506 0 45 1.14432 1.40506 22.8% - 0s
0 0 1.40506 0 45 1.14432 1.40506 22.8% - 0s
H 0 0 1.1725946 1.40506 19.8% - 0s
0 2 1.40506 0 45 1.17259 1.40506 19.8% - 0s
* 1355 269 43 1.1793379 1.21795 3.27% 5.7 0s
Cutting planes:
Gomory: 20
Cover: 4
Implied bound: 17
MIR: 3
Flow cover: 28
Inf proof: 23
Explored 1969 nodes (12249 simplex iterations) in 0.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.17934 1.17259 1.14432
Optimal solution found (tolerance 1.00e-02)
Best objective 1.179337935406e+00, best bound 1.186577575861e+00, gap 0.6139%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkec6qehf.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppigtozf4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08016
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.673415e+00, 440 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67342 0 48 1.08016 1.67342 54.9% - 0s
0 0 1.37472 0 46 1.08016 1.37472 27.3% - 0s
0 0 1.37268 0 49 1.08016 1.37268 27.1% - 0s
0 0 1.37267 0 52 1.08016 1.37267 27.1% - 0s
0 0 1.37207 0 51 1.08016 1.37207 27.0% - 0s
0 0 1.37207 0 49 1.08016 1.37207 27.0% - 0s
0 2 1.37207 0 49 1.08016 1.37207 27.0% - 0s
H 1097 529 1.1437931 1.21081 5.86% 7.2 1s
Cutting planes:
Gomory: 53
Cover: 2
Implied bound: 4
Projected implied bound: 18
MIR: 1
Flow cover: 20
Inf proof: 13
Explored 2727 nodes (22780 simplex iterations) in 2.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.14379 1.08016
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (3.2500e-06) exceeds tolerance
Best objective 1.143793098360e+00, best bound 1.152619262378e+00, gap 0.7717%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0uvo3jng.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp81gmvd2f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05668
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.641581e+00, 479 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64158 0 57 1.05668 1.64158 55.4% - 0s
0 0 1.32578 0 53 1.05668 1.32578 25.5% - 0s
0 0 1.32394 0 56 1.05668 1.32394 25.3% - 0s
0 0 1.32394 0 53 1.05668 1.32394 25.3% - 0s
0 2 1.32394 0 53 1.05668 1.32394 25.3% - 0s
* 1606 414 83 1.0806445 1.18331 9.50% 9.4 1s
* 1651 423 84 1.0828016 1.18331 9.28% 9.4 1s
* 3729 662 90 1.0921335 1.13552 3.97% 9.6 3s
* 4301 518 75 1.1012629 1.12831 2.46% 9.6 3s
Cutting planes:
Gomory: 59
Implied bound: 14
Projected implied bound: 29
MIR: 3
Flow cover: 23
Inf proof: 25
Explored 5551 nodes (53208 simplex iterations) in 4.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.10126 1.09213 1.0828 ... 1.05668
Optimal solution found (tolerance 1.00e-02)
Best objective 1.101262877329e+00, best bound 1.110843820611e+00, gap 0.8700%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3mllfv_r.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn2t_evpj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09085
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.602251e+00, 489 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60225 0 58 1.09085 1.60225 46.9% - 0s
0 0 1.32529 0 57 1.09085 1.32529 21.5% - 0s
0 0 1.32375 0 62 1.09085 1.32375 21.4% - 0s
0 0 1.32375 0 61 1.09085 1.32375 21.4% - 0s
0 2 1.32375 0 60 1.09085 1.32375 21.4% - 0s
H 2292 707 1.0964622 1.14105 4.07% 7.8 2s
Cutting planes:
Gomory: 53
Cover: 1
Implied bound: 5
Projected implied bound: 29
MIR: 5
Flow cover: 21
Inf proof: 15
Explored 3851 nodes (29686 simplex iterations) in 2.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.09646 1.09085
Optimal solution found (tolerance 1.00e-02)
Best objective 1.096462246958e+00, best bound 1.104724633397e+00, gap 0.7535%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph7apetzt.pyomo.lp
Reading time = 0.00 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe6ics6mn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0824
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.565478e+00, 506 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56548 0 60 1.08240 1.56548 44.6% - 0s
0 0 1.34432 0 59 1.08240 1.34432 24.2% - 0s
0 0 1.34240 0 72 1.08240 1.34240 24.0% - 0s
0 0 1.34192 0 67 1.08240 1.34192 24.0% - 0s
0 0 1.34167 0 68 1.08240 1.34167 24.0% - 0s
0 0 1.34142 0 69 1.08240 1.34142 23.9% - 0s
0 0 1.34135 0 71 1.08240 1.34135 23.9% - 0s
0 0 1.34071 0 75 1.08240 1.34071 23.9% - 0s
0 0 1.34071 0 68 1.08240 1.34071 23.9% - 0s
0 1 1.34071 0 68 1.08240 1.34071 23.9% - 0s
* 1397 415 86 1.0832019 1.13355 4.65% 10.1 1s
* 4868 485 87 1.0866713 1.09772 1.02% 9.4 3s
* 4870 475 87 1.0869901 1.09772 0.99% 9.4 3s
Cutting planes:
Gomory: 69
Implied bound: 12
Projected implied bound: 17
MIR: 3
Flow cover: 33
Inf proof: 26
Explored 5001 nodes (48025 simplex iterations) in 3.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.08699 1.08667 1.0832 1.0824
Optimal solution found (tolerance 1.00e-02)
Best objective 1.086990089805e+00, best bound 1.097022654156e+00, gap 0.9230%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4ewdfysp.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4tauazei.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08358
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.527656e+00, 534 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52766 0 64 1.08358 1.52766 41.0% - 0s
0 0 1.33574 0 60 1.08358 1.33574 23.3% - 0s
0 0 1.31421 0 65 1.08358 1.31421 21.3% - 0s
0 0 1.30315 0 66 1.08358 1.30315 20.3% - 0s
0 0 1.30302 0 63 1.08358 1.30302 20.3% - 0s
0 0 1.30260 0 65 1.08358 1.30260 20.2% - 0s
0 0 1.30246 0 68 1.08358 1.30246 20.2% - 0s
0 0 1.30208 0 67 1.08358 1.30208 20.2% - 0s
0 0 1.30208 0 64 1.08358 1.30208 20.2% - 0s
0 2 1.30208 0 63 1.08358 1.30208 20.2% - 0s
H 2628 343 1.0860757 1.11450 2.62% 10.9 2s
* 3678 287 87 1.0865841 1.09932 1.17% 10.6 3s
* 3683 279 87 1.0871237 1.09932 1.12% 10.6 3s
Cutting planes:
Gomory: 61
Cover: 1
Implied bound: 6
Projected implied bound: 23
MIR: 9
Flow cover: 23
Inf proof: 19
Explored 3814 nodes (40955 simplex iterations) in 3.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.08712 1.08658 1.08608 1.08358
Optimal solution found (tolerance 1.00e-02)
Best objective 1.087123745053e+00, best bound 1.097109442774e+00, gap 0.9185%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2b2yca49.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2dwsjxa0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06051
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.486117e+00, 642 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48612 0 65 1.06051 1.48612 40.1% - 0s
0 0 1.30232 0 71 1.06051 1.30232 22.8% - 0s
0 0 1.28201 0 69 1.06051 1.28201 20.9% - 0s
0 0 1.27302 0 71 1.06051 1.27302 20.0% - 0s
0 0 1.27256 0 70 1.06051 1.27256 20.0% - 0s
0 0 1.27240 0 71 1.06051 1.27240 20.0% - 0s
0 0 1.27235 0 73 1.06051 1.27235 20.0% - 0s
0 0 1.27207 0 75 1.06051 1.27207 19.9% - 0s
0 0 1.27182 0 75 1.06051 1.27182 19.9% - 0s
0 0 1.27157 0 76 1.06051 1.27157 19.9% - 0s
0 0 1.27157 0 70 1.06051 1.27157 19.9% - 0s
0 2 1.27157 0 70 1.06051 1.27157 19.9% - 0s
* 4964 926 89 1.0617097 1.08091 1.81% 10.7 4s
5140 894 cutoff 42 1.06171 1.08066 1.78% 10.8 5s
* 5892 792 76 1.0625100 1.07589 1.26% 10.8 5s
Cutting planes:
Gomory: 74
Implied bound: 8
Projected implied bound: 31
MIR: 6
Flow cover: 28
Inf proof: 23
Explored 6739 nodes (74995 simplex iterations) in 6.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.06251 1.06171 1.06051
Optimal solution found (tolerance 1.00e-02)
Best objective 1.062510030907e+00, best bound 1.071917336936e+00, gap 0.8854%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx9h7d2e1.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp9xvoier.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02167
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.428915e+00, 579 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42891 0 66 1.02167 1.42891 39.9% - 0s
0 0 1.25226 0 70 1.02167 1.25226 22.6% - 0s
0 0 1.23271 0 70 1.02167 1.23271 20.7% - 0s
0 0 1.22403 0 71 1.02167 1.22403 19.8% - 0s
0 0 1.22359 0 72 1.02167 1.22359 19.8% - 0s
0 0 1.22342 0 71 1.02167 1.22342 19.7% - 0s
0 0 1.22338 0 73 1.02167 1.22338 19.7% - 0s
0 0 1.22101 0 75 1.02167 1.22101 19.5% - 0s
0 0 1.22064 0 74 1.02167 1.22064 19.5% - 0s
0 0 1.22064 0 74 1.02167 1.22064 19.5% - 0s
0 0 1.21866 0 75 1.02167 1.21866 19.3% - 0s
0 0 1.21866 0 75 1.02167 1.21866 19.3% - 0s
0 0 1.21821 0 75 1.02167 1.21821 19.2% - 0s
0 0 1.21821 0 66 1.02167 1.21821 19.2% - 0s
0 2 1.21821 0 66 1.02167 1.21821 19.2% - 0s
H 1047 489 1.0216736 1.09594 7.27% 11.0 2s
H 3403 455 1.0216736 1.04094 1.89% 11.5 4s
* 4242 437 93 1.0220299 1.03659 1.42% 11.1 4s
* 4245 421 90 1.0226883 1.03659 1.36% 11.1 4s
4349 401 infeasible 32 1.02269 1.03561 1.26% 11.1 5s
Cutting planes:
Gomory: 70
Cover: 1
Implied bound: 13
Projected implied bound: 28
MIR: 9
Flow cover: 30
Inf proof: 23
Explored 4724 nodes (52784 simplex iterations) in 5.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.02269 1.02203 1.02167 ... 1.02167
Optimal solution found (tolerance 1.00e-02)
Best objective 1.022688330495e+00, best bound 1.032212045659e+00, gap 0.9312%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5ww9a3o8.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfm5xh3f1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01584
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.402326e+00, 614 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40233 0 71 1.01584 1.40233 38.0% - 0s
0 0 1.32183 0 74 1.01584 1.32183 30.1% - 0s
0 0 1.30960 0 73 1.01584 1.30960 28.9% - 0s
0 0 1.30957 0 75 1.01584 1.30957 28.9% - 0s
0 0 1.30921 0 77 1.01584 1.30921 28.9% - 0s
0 0 1.30883 0 79 1.01584 1.30883 28.8% - 0s
0 0 1.30760 0 77 1.01584 1.30760 28.7% - 0s
0 0 1.30760 0 77 1.01584 1.30760 28.7% - 0s
0 0 1.30744 0 73 1.01584 1.30744 28.7% - 0s
0 0 1.30724 0 73 1.01584 1.30724 28.7% - 0s
0 0 1.30724 0 69 1.01584 1.30724 28.7% - 0s
0 2 1.30724 0 68 1.01584 1.30724 28.7% - 0s
* 4677 162 95 1.0158653 1.02605 1.00% 9.0 3s
Cutting planes:
Gomory: 14
Implied bound: 1
MIR: 3
Flow cover: 8
Inf proof: 3
Explored 4737 nodes (43664 simplex iterations) in 3.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.01587 1.01584
Optimal solution found (tolerance 1.00e-02)
Best objective 1.015865319425e+00, best bound 1.024216767979e+00, gap 0.8221%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb02zm1me.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcoy7zc4p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01448
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.374725e+00, 673 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37473 0 71 1.01448 1.37473 35.5% - 0s
0 0 1.24738 0 70 1.01448 1.24738 23.0% - 0s
0 0 1.24442 0 74 1.01448 1.24442 22.7% - 0s
0 0 1.24219 0 72 1.01448 1.24219 22.4% - 0s
0 0 1.24041 0 77 1.01448 1.24041 22.3% - 0s
0 0 1.23892 0 78 1.01448 1.23892 22.1% - 0s
0 0 1.21125 0 78 1.01448 1.21125 19.4% - 0s
0 0 1.21124 0 79 1.01448 1.21124 19.4% - 0s
0 0 1.21122 0 79 1.01448 1.21122 19.4% - 0s
0 0 1.21122 0 74 1.01448 1.21122 19.4% - 0s
0 2 1.21122 0 69 1.01448 1.21122 19.4% - 0s
4402 661 cutoff 47 1.01448 1.03209 1.74% 11.2 5s
Cutting planes:
Gomory: 76
Cover: 3
Implied bound: 12
Projected implied bound: 30
MIR: 14
Flow cover: 34
Inf proof: 25
Explored 6200 nodes (64483 simplex iterations) in 6.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.01448
Optimal solution found (tolerance 1.00e-02)
Best objective 1.014480465701e+00, best bound 1.023540229734e+00, gap 0.8930%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeouca8mb.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc4gl5__q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.98455
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.326856e+00, 699 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32686 0 72 0.98455 1.32686 34.8% - 0s
0 0 1.20643 0 73 0.98455 1.20643 22.5% - 0s
0 0 1.18925 0 79 0.98455 1.18925 20.8% - 0s
0 0 1.18201 0 79 0.98455 1.18201 20.1% - 0s
0 0 1.18053 0 80 0.98455 1.18053 19.9% - 0s
0 0 1.17982 0 83 0.98455 1.17982 19.8% - 0s
0 0 1.17725 0 78 0.98455 1.17725 19.6% - 0s
0 0 1.17725 0 78 0.98455 1.17725 19.6% - 0s
0 0 1.17725 0 82 0.98455 1.17725 19.6% - 0s
0 0 1.17725 0 79 0.98455 1.17725 19.6% - 0s
0 2 1.17725 0 78 0.98455 1.17725 19.6% - 0s
* 543 321 94 0.9848845 1.07081 8.72% 9.9 0s
3692 625 0.98868 38 64 0.98488 1.02752 4.33% 13.9 5s
Cutting planes:
Gomory: 77
Implied bound: 10
Projected implied bound: 25
MIR: 13
Flow cover: 38
Inf proof: 30
Explored 6446 nodes (78258 simplex iterations) in 6.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.984885 0.98455
Optimal solution found (tolerance 1.00e-02)
Best objective 9.848845184006e-01, best bound 9.937112980050e-01, gap 0.8962%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpok1p15lp.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaombm9mr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.950171
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.300649e+00, 716 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30065 0 78 0.95017 1.30065 36.9% - 0s
0 0 1.17251 0 83 0.95017 1.17251 23.4% - 0s
0 0 1.17249 0 83 0.95017 1.17249 23.4% - 0s
0 0 1.17082 0 86 0.95017 1.17082 23.2% - 0s
0 0 1.17075 0 82 0.95017 1.17075 23.2% - 0s
0 0 1.16985 0 82 0.95017 1.16985 23.1% - 0s
0 0 1.16981 0 84 0.95017 1.16981 23.1% - 0s
0 0 1.16968 0 84 0.95017 1.16968 23.1% - 0s
0 0 1.16968 0 80 0.95017 1.16968 23.1% - 0s
0 2 1.16968 0 79 0.95017 1.16968 23.1% - 0s
* 2773 864 102 0.9504236 1.01945 7.26% 12.5 4s
3477 1059 cutoff 34 0.95042 1.01135 6.41% 12.5 5s
H 6007 1296 0.9513583 0.99312 4.39% 13.3 7s
H 7131 1527 0.9513583 0.98870 3.92% 12.9 8s
H 8189 1708 0.9514962 0.98508 3.53% 12.7 9s
8828 1635 0.95410 70 54 0.95150 0.98286 3.30% 12.6 10s
* 9930 1312 107 0.9555917 0.97745 2.29% 12.6 11s
*11066 1018 109 0.9581333 0.97192 1.44% 12.5 12s
*11762 597 101 0.9610314 0.96901 0.83% 12.4 12s
Cutting planes:
Gomory: 82
Cover: 2
Implied bound: 24
Projected implied bound: 18
MIR: 6
Flow cover: 21
Inf proof: 72
Explored 11823 nodes (148158 simplex iterations) in 12.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.961031 0.958133 0.955592 ... 0.950171
Optimal solution found (tolerance 1.00e-02)
Best objective 9.610314291217e-01, best bound 9.683156433932e-01, gap 0.7580%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpax4b7np_.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps6_17668.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.935124
Presolve removed 494 rows and 321 columns
Presolve time: 0.01s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.267118e+00, 765 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26712 0 81 0.93512 1.26712 35.5% - 0s
0 0 1.13895 0 86 0.93512 1.13895 21.8% - 0s
0 0 1.13893 0 86 0.93512 1.13893 21.8% - 0s
0 0 1.13825 0 84 0.93512 1.13825 21.7% - 0s
0 0 1.13825 0 84 0.93512 1.13825 21.7% - 0s
0 2 1.13825 0 84 0.93512 1.13825 21.7% - 0s
3764 983 cutoff 38 0.93512 0.98391 5.22% 13.0 5s
H 8125 1560 0.9351244 0.96476 3.17% 12.8 9s
8682 1456 cutoff 78 0.93512 0.96299 2.98% 12.9 10s
14226 675 cutoff 78 0.93512 0.94386 0.93% 12.7 15s
Cutting planes:
Gomory: 74
Cover: 1
Implied bound: 23
Projected implied bound: 19
MIR: 6
Flow cover: 26
Inf proof: 95
Explored 14376 nodes (183780 simplex iterations) in 15.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.935124 0.935124
Optimal solution found (tolerance 1.00e-02)
Best objective 9.351244222154e-01, best bound 9.431434631676e-01, gap 0.8575%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy3__1zvr.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0_vxzqim.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.909264
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.230647e+00, 789 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23065 0 82 0.90926 1.23065 35.3% - 0s
0 0 1.11395 0 88 0.90926 1.11395 22.5% - 0s
0 0 1.11393 0 88 0.90926 1.11393 22.5% - 0s
0 0 1.11225 0 88 0.90926 1.11225 22.3% - 0s
0 0 1.11084 0 88 0.90926 1.11084 22.2% - 0s
0 0 1.11076 0 91 0.90926 1.11076 22.2% - 0s
0 0 1.11054 0 92 0.90926 1.11054 22.1% - 0s
0 0 1.11054 0 89 0.90926 1.11054 22.1% - 0s
0 2 1.11054 0 89 0.90926 1.11054 22.1% - 0s
3423 969 0.94575 66 80 0.90926 0.96144 5.74% 14.9 5s
8470 1495 cutoff 51 0.90926 0.93791 3.15% 14.9 10s
H 8968 1566 0.9095254 0.93648 2.96% 14.9 11s
H 9000 1551 0.9103628 0.93622 2.84% 14.9 11s
12595 976 0.92232 54 73 0.91036 0.92310 1.40% 14.9 15s
Cutting planes:
Gomory: 85
Cover: 1
Implied bound: 30
Projected implied bound: 15
MIR: 6
Flow cover: 32
Inf proof: 90
Explored 13573 nodes (202716 simplex iterations) in 16.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.910363 0.909525 0.909264
Optimal solution found (tolerance 1.00e-02)
Best objective 9.103628156421e-01, best bound 9.194642598781e-01, gap 0.9998%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0yzy_bzb.pyomo.lp
Reading time = 0.00 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprgmjboy3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906476
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.226869e+00, 799 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22687 0 87 0.90648 1.22687 35.3% - 0s
0 0 1.11248 0 94 0.90648 1.11248 22.7% - 0s
0 0 1.11246 0 94 0.90648 1.11246 22.7% - 0s
0 0 1.11108 0 94 0.90648 1.11108 22.6% - 0s
0 0 1.10988 0 92 0.90648 1.10988 22.4% - 0s
0 0 1.10985 0 95 0.90648 1.10985 22.4% - 0s
0 0 1.10976 0 93 0.90648 1.10976 22.4% - 0s
0 0 1.10976 0 89 0.90648 1.10976 22.4% - 0s
0 2 1.10976 0 89 0.90648 1.10976 22.4% - 0s
2561 716 0.94655 34 101 0.90648 0.98997 9.21% 18.3 5s
H 5249 1494 0.9067293 0.96481 6.41% 18.1 8s
6264 1572 cutoff 31 0.90673 0.95675 5.52% 17.9 10s
H 8322 1746 0.9067293 0.94592 4.32% 17.6 12s
H 8363 1752 0.9067293 0.94530 4.25% 17.6 12s
11359 2121 0.92694 70 50 0.90673 0.93826 3.48% 16.5 15s
17071 2317 0.92682 75 55 0.90673 0.92933 2.49% 15.5 20s
21497 1852 0.91253 52 67 0.90673 0.92009 1.47% 15.2 25s
Cutting planes:
Gomory: 94
Cover: 2
Implied bound: 31
Projected implied bound: 28
MIR: 11
Flow cover: 60
Inf proof: 125
Explored 23576 nodes (351906 simplex iterations) in 27.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.906729 0.906729 0.906729 0.906476
Optimal solution found (tolerance 1.00e-02)
Best objective 9.067292691852e-01, best bound 9.156278859433e-01, gap 0.9814%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr8732d_e.pyomo.lp
Reading time = 0.00 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp1m_plin.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.897321
Presolve removed 536 rows and 348 columns
Presolve time: 0.01s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.215555e+00, 839 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21555 0 89 0.89732 1.21555 35.5% - 0s
0 0 1.10326 0 84 0.89732 1.10326 23.0% - 0s
0 0 1.10325 0 84 0.89732 1.10325 22.9% - 0s
0 0 1.10096 0 87 0.89732 1.10096 22.7% - 0s
0 0 1.10076 0 91 0.89732 1.10076 22.7% - 0s
0 0 1.10076 0 88 0.89732 1.10076 22.7% - 0s
0 2 1.10076 0 87 0.89732 1.10076 22.7% - 0s
2437 575 0.92898 32 93 0.89732 0.98320 9.57% 18.5 5s
5626 1176 0.91238 50 83 0.89732 0.94800 5.65% 19.2 10s
11487 2243 infeasible 67 0.89732 0.92585 3.18% 15.7 15s
H13046 2468 0.8973212 0.92318 2.88% 15.3 16s
14837 2460 cutoff 82 0.89732 0.92120 2.66% 15.1 20s
19767 2325 cutoff 46 0.89732 0.91472 1.94% 14.7 25s
23689 1556 cutoff 60 0.89732 0.90728 1.11% 14.7 30s
Cutting planes:
Gomory: 82
Cover: 1
Implied bound: 33
Projected implied bound: 21
MIR: 12
Flow cover: 62
Inf proof: 163
Explored 24369 nodes (357287 simplex iterations) in 30.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.897321 0.897321
Optimal solution found (tolerance 1.00e-02)
Best objective 8.973211761003e-01, best bound 9.060377828808e-01, gap 0.9714%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyjbmvtc3.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx9s15be0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884234
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.197175e+00, 844 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19717 0 94 0.88423 1.19717 35.4% - 0s
0 0 1.09655 0 96 0.88423 1.09655 24.0% - 0s
0 0 1.09652 0 96 0.88423 1.09652 24.0% - 0s
0 0 1.09265 0 91 0.88423 1.09265 23.6% - 0s
0 0 1.09262 0 89 0.88423 1.09262 23.6% - 0s
0 0 1.09224 0 90 0.88423 1.09224 23.5% - 0s
0 0 1.09224 0 90 0.88423 1.09224 23.5% - 0s
0 0 1.09190 0 92 0.88423 1.09190 23.5% - 0s
0 0 1.09190 0 88 0.88423 1.09190 23.5% - 0s
0 2 1.09190 0 87 0.88423 1.09190 23.5% - 0s
3015 973 0.91723 43 103 0.88423 0.96565 9.21% 16.9 5s
H 4079 1336 0.8842336 0.95824 8.37% 17.3 6s
6445 1811 infeasible 52 0.88423 0.94676 7.07% 18.9 10s
9695 2244 0.91935 67 72 0.88423 0.93411 5.64% 19.9 15s
12196 2429 0.89016 67 90 0.88423 0.92806 4.96% 20.4 20s
16025 2548 0.91891 69 67 0.88423 0.91949 3.99% 21.2 25s
H17213 2692 0.8842336 0.91743 3.75% 21.2 27s
19141 2589 0.89528 53 100 0.88423 0.91434 3.41% 21.4 30s
20923 2643 infeasible 52 0.88423 0.91179 3.12% 21.3 40s
24275 2800 cutoff 96 0.88423 0.90725 2.60% 21.7 45s
27676 2720 0.88940 88 80 0.88423 0.90250 2.07% 22.1 50s
30899 2523 cutoff 82 0.88423 0.89795 1.55% 22.3 55s
33799 1966 0.88458 95 47 0.88423 0.89389 1.09% 22.3 60s
Cutting planes:
Gomory: 103
Cover: 4
Implied bound: 31
Projected implied bound: 26
MIR: 16
Flow cover: 91
Inf proof: 192
Explored 34498 nodes (768094 simplex iterations) in 61.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.884234 0.884234 0.884234
Optimal solution found (tolerance 1.00e-02)
Best objective 8.842335625278e-01, best bound 8.928341846569e-01, gap 0.9727%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpizh5su63.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnlrvygs6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87467
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.185637e+00, 888 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18564 0 99 0.87467 1.18564 35.6% - 0s
0 0 1.08927 0 93 0.87467 1.08927 24.5% - 0s
0 0 1.08922 0 93 0.87467 1.08922 24.5% - 0s
0 0 1.08458 0 96 0.87467 1.08458 24.0% - 0s
0 0 1.08458 0 96 0.87467 1.08458 24.0% - 0s
0 0 1.08435 0 99 0.87467 1.08435 24.0% - 0s
0 0 1.08435 0 98 0.87467 1.08435 24.0% - 0s
0 2 1.08435 0 98 0.87467 1.08435 24.0% - 0s
2470 876 0.92110 47 83 0.87467 0.98072 12.1% 17.2 5s
H 3732 1345 0.8746697 0.96653 10.5% 17.6 6s
6215 2006 0.92950 38 99 0.87467 0.95096 8.72% 18.5 10s
9862 2783 0.90734 44 98 0.87467 0.93840 7.29% 18.5 15s
14610 3683 cutoff 57 0.87467 0.92769 6.06% 18.8 20s
18114 4176 cutoff 62 0.87467 0.92272 5.49% 19.0 25s
20955 4728 cutoff 39 0.87467 0.92020 5.21% 18.9 37s
22415 4765 0.88104 78 62 0.87467 0.91811 4.97% 19.7 40s
25033 4877 0.89819 42 79 0.87467 0.91451 4.55% 21.2 45s
28311 5264 cutoff 71 0.87467 0.91120 4.18% 22.1 50s
31483 5757 0.88468 35 105 0.87467 0.90867 3.89% 22.6 56s
33342 5984 0.90356 83 66 0.87467 0.90767 3.77% 22.7 60s
36442 6180 cutoff 73 0.87467 0.90489 3.46% 23.1 65s
39493 6263 0.89349 49 85 0.87467 0.90289 3.23% 23.3 70s
42645 6271 cutoff 65 0.87467 0.90126 3.04% 23.5 75s
45282 6198 cutoff 71 0.87467 0.89950 2.84% 23.9 80s
48564 6162 infeasible 91 0.87467 0.89785 2.65% 24.0 85s
51053 6079 cutoff 68 0.87467 0.89641 2.49% 24.2 90s
54150 5918 cutoff 48 0.87467 0.89475 2.30% 24.4 95s
57263 5750 0.88658 52 90 0.87467 0.89311 2.11% 24.5 100s
60329 5475 0.88235 70 64 0.87467 0.89143 1.92% 24.6 105s
63203 5149 0.87671 65 71 0.87467 0.88980 1.73% 24.6 110s
66039 4772 0.87689 80 56 0.87467 0.88833 1.56% 24.6 115s
69261 4250 cutoff 61 0.87467 0.88643 1.34% 24.5 120s
72428 3616 cutoff 55 0.87467 0.88451 1.12% 24.4 125s
Cutting planes:
Gomory: 115
Cover: 3
Implied bound: 44
Projected implied bound: 25
MIR: 20
Flow cover: 119
Inf proof: 256
Explored 74391 nodes (1812605 simplex iterations) in 128.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.87467 0.87467
Optimal solution found (tolerance 1.00e-02)
Best objective 8.746696993022e-01, best bound 8.833828545768e-01, gap 0.9962%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7rkw7udu.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc4gk9twn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87517
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.174372e+00, 850 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17437 0 100 0.87517 1.17437 34.2% - 0s
0 0 1.09478 0 94 0.87517 1.09478 25.1% - 0s
0 0 1.09440 0 98 0.87517 1.09440 25.1% - 0s
0 0 1.08462 0 96 0.87517 1.08462 23.9% - 0s
0 0 1.08461 0 96 0.87517 1.08461 23.9% - 0s
0 0 1.08436 0 97 0.87517 1.08436 23.9% - 0s
0 0 1.08422 0 99 0.87517 1.08422 23.9% - 0s
0 0 1.08372 0 97 0.87517 1.08372 23.8% - 0s
0 0 1.08371 0 97 0.87517 1.08371 23.8% - 0s
0 0 1.08371 0 99 0.87517 1.08371 23.8% - 0s
0 0 1.08371 0 85 0.87517 1.08371 23.8% - 0s
0 2 1.08371 0 83 0.87517 1.08371 23.8% - 0s
2537 835 0.93503 46 93 0.87517 0.97452 11.4% 19.0 5s
5554 1423 infeasible 47 0.87517 0.94688 8.19% 20.4 10s
H 7291 1760 0.8751697 0.93694 7.06% 20.2 13s
8768 2075 0.90096 44 94 0.87517 0.93247 6.55% 19.6 15s
12910 2531 0.87646 108 35 0.87517 0.91838 4.94% 19.8 20s
18169 3581 infeasible 76 0.87517 0.91073 4.06% 18.9 25s
20840 3905 0.89573 82 51 0.87517 0.90845 3.80% 18.6 38s
21853 4025 cutoff 76 0.87517 0.90768 3.72% 18.7 40s
25064 4165 cutoff 86 0.87517 0.90420 3.32% 19.7 45s
27981 4174 0.89166 86 77 0.87517 0.90140 3.00% 20.3 50s
31457 4215 0.88198 65 94 0.87517 0.89862 2.68% 20.8 55s
34614 4169 0.88655 69 103 0.87517 0.89604 2.38% 21.2 60s
36926 4110 infeasible 40 0.87517 0.89426 2.18% 21.6 65s
38637 3783 cutoff 86 0.87517 0.89233 1.96% 21.9 70s
41265 3468 0.88521 90 48 0.87517 0.89036 1.74% 22.1 75s
44103 2893 0.88503 87 53 0.87517 0.88770 1.43% 22.3 80s
46910 2081 cutoff 79 0.87517 0.88433 1.05% 22.4 85s
Cutting planes:
Gomory: 117
Cover: 2
Implied bound: 40
Projected implied bound: 29
MIR: 30
Flow cover: 118
Inf proof: 202
Zero half: 1
Explored 47384 nodes (1061656 simplex iterations) in 85.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.87517 0.87517
Optimal solution found (tolerance 1.00e-02)
Best objective 8.751697330007e-01, best bound 8.838222232346e-01, gap 0.9887%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpst_1kmlz.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf2p13ria.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.868829
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.158736e+00, 893 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15874 0 105 0.86883 1.15874 33.4% - 0s
0 0 1.08432 0 99 0.86883 1.08432 24.8% - 0s
0 0 1.08428 0 99 0.86883 1.08428 24.8% - 0s
0 0 1.08017 0 98 0.86883 1.08017 24.3% - 0s
0 0 1.08016 0 100 0.86883 1.08016 24.3% - 0s
0 0 1.07860 0 102 0.86883 1.07860 24.1% - 0s
0 0 1.07848 0 102 0.86883 1.07848 24.1% - 0s
0 0 1.07841 0 101 0.86883 1.07841 24.1% - 0s
0 0 1.07833 0 101 0.86883 1.07833 24.1% - 0s
0 0 1.07833 0 85 0.86883 1.07833 24.1% - 0s
0 2 1.07833 0 85 0.86883 1.07833 24.1% - 0s
1957 640 cutoff 29 0.86883 0.97440 12.2% 21.3 5s
5114 1467 0.88314 55 89 0.86883 0.94188 8.41% 20.2 10s
7585 1906 0.88344 53 86 0.86883 0.92920 6.95% 21.1 15s
10870 2514 0.88947 37 117 0.86883 0.91744 5.60% 21.5 20s
H13101 2922 0.8688292 0.91401 5.20% 21.3 23s
H13112 2922 0.8688292 0.91391 5.19% 21.3 23s
13166 2914 0.91047 64 71 0.86883 0.91260 5.04% 21.3 25s
16299 3287 infeasible 79 0.86883 0.90659 4.35% 21.7 30s
19669 3744 0.87066 97 45 0.86883 0.90192 3.81% 21.7 35s
21228 3978 infeasible 59 0.86883 0.90047 3.64% 21.4 46s
23500 4258 0.89281 71 74 0.86883 0.89819 3.38% 21.5 50s
26882 4530 0.87475 78 62 0.86883 0.89508 3.02% 21.9 55s
30133 4833 0.87398 79 64 0.86883 0.89266 2.74% 21.9 60s
33768 4966 0.87681 57 94 0.86883 0.89021 2.46% 21.9 65s
36625 4850 0.87811 56 103 0.86883 0.88803 2.21% 22.1 70s
40140 4740 0.87622 85 62 0.86883 0.88587 1.96% 22.1 75s
43239 4560 0.88285 64 84 0.86883 0.88386 1.73% 22.0 80s
46583 4166 cutoff 89 0.86883 0.88173 1.48% 22.0 85s
49564 3696 cutoff 53 0.86883 0.87967 1.25% 21.9 90s
Cutting planes:
Gomory: 112
Cover: 3
Implied bound: 49
Projected implied bound: 32
MIR: 28
Flow cover: 104
Inf proof: 245
Explored 52286 nodes (1146808 simplex iterations) in 94.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.868829 0.868829 0.868829
Optimal solution found (tolerance 1.00e-02)
Best objective 8.688291694274e-01, best bound 8.774544419842e-01, gap 0.9927%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc5_ue5f6.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpephd9u21.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.866169
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.146316e+00, 979 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14632 0 107 0.86617 1.14632 32.3% - 0s
0 0 1.07522 0 109 0.86617 1.07522 24.1% - 0s
0 0 1.07518 0 109 0.86617 1.07518 24.1% - 0s
0 0 1.07109 0 110 0.86617 1.07109 23.7% - 0s
0 0 1.07108 0 109 0.86617 1.07108 23.7% - 0s
0 0 1.07087 0 117 0.86617 1.07087 23.6% - 0s
0 0 1.07087 0 117 0.86617 1.07087 23.6% - 0s
0 0 1.07071 0 112 0.86617 1.07071 23.6% - 0s
0 0 1.07071 0 93 0.86617 1.07071 23.6% - 0s
0 2 1.07071 0 91 0.86617 1.07071 23.6% - 0s
1786 696 0.93345 25 113 0.86617 0.97548 12.6% 23.2 5s
4597 1158 infeasible 42 0.86617 0.93035 7.41% 25.4 10s
7223 1756 cutoff 26 0.86617 0.91361 5.48% 24.5 15s
10720 2890 cutoff 49 0.86617 0.90671 4.68% 22.5 20s
H12994 3555 0.8661688 0.90448 4.42% 21.7 22s
14585 3946 cutoff 72 0.86617 0.90316 4.27% 21.3 25s
19220 5294 0.89245 35 114 0.86617 0.89872 3.76% 20.8 30s
20616 5411 cutoff 74 0.86617 0.89744 3.61% 21.1 43s
21710 5511 0.87743 76 90 0.86617 0.89644 3.50% 21.3 45s
24513 5756 cutoff 55 0.86617 0.89393 3.21% 22.5 50s
27516 6128 0.86936 84 63 0.86617 0.89193 2.97% 23.3 55s
30332 6319 0.87952 85 69 0.86617 0.89002 2.75% 23.8 60s
33161 6409 0.87408 75 74 0.86617 0.88812 2.53% 24.2 65s
36184 6409 0.87245 78 67 0.86617 0.88646 2.34% 24.6 70s
38796 6367 0.88278 81 75 0.86617 0.88514 2.19% 25.0 75s
40692 6239 0.87816 69 117 0.86617 0.88420 2.08% 25.2 80s
43757 6072 infeasible 53 0.86617 0.88281 1.92% 25.4 85s
46584 5763 cutoff 70 0.86617 0.88133 1.75% 25.6 90s
49441 5451 0.87048 89 69 0.86617 0.88002 1.60% 25.8 95s
51719 4942 infeasible 80 0.86617 0.87881 1.46% 26.0 100s
54433 4400 cutoff 81 0.86617 0.87737 1.29% 26.0 105s
57120 3624 0.86842 88 57 0.86617 0.87560 1.09% 26.1 110s
Cutting planes:
Gomory: 121
Cover: 1
Implied bound: 32
Projected implied bound: 41
MIR: 31
Flow cover: 112
Inf proof: 218
Explored 58355 nodes (1526124 simplex iterations) in 112.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.866169 0.866169
Optimal solution found (tolerance 1.00e-02)
Best objective 8.661687735689e-01, best bound 8.747676960867e-01, gap 0.9928%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn9oybid2.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5z9jrbt5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.861509
Presolve removed 620 rows and 402 columns
Presolve time: 0.02s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.134448e+00, 994 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13445 0 112 0.86151 1.13445 31.7% - 0s
0 0 1.07137 0 108 0.86151 1.07137 24.4% - 0s
0 0 1.07133 0 108 0.86151 1.07133 24.4% - 0s
0 0 1.06711 0 110 0.86151 1.06711 23.9% - 0s
0 0 1.06711 0 110 0.86151 1.06711 23.9% - 0s
0 0 1.06704 0 111 0.86151 1.06704 23.9% - 0s
0 0 1.06704 0 111 0.86151 1.06704 23.9% - 0s
0 0 1.06698 0 111 0.86151 1.06698 23.8% - 0s
0 0 1.06698 0 99 0.86151 1.06698 23.8% - 0s
0 2 1.06698 0 99 0.86151 1.06698 23.8% - 0s
1987 784 0.86806 54 99 0.86151 0.99607 15.6% 19.3 5s
H 2544 986 0.8615086 0.98728 14.6% 19.2 6s
5080 1880 cutoff 41 0.86151 0.95717 11.1% 21.0 10s
7342 2365 0.87939 42 107 0.86151 0.94527 9.72% 23.2 15s
9503 2836 0.87692 44 103 0.86151 0.93641 8.69% 24.1 20s
12346 3218 cutoff 37 0.86151 0.92568 7.45% 24.9 25s
15036 3626 infeasible 36 0.86151 0.91746 6.49% 25.3 30s
17841 4083 cutoff 45 0.86151 0.91080 5.72% 25.5 35s
20862 4778 0.89311 56 91 0.86151 0.90613 5.18% 25.0 49s
21261 4856 cutoff 43 0.86151 0.90554 5.11% 25.0 50s
23509 5292 0.89126 53 114 0.86151 0.90230 4.73% 25.8 55s
26289 5837 cutoff 42 0.86151 0.90006 4.48% 26.5 60s
28837 6189 0.86328 69 76 0.86151 0.89786 4.22% 26.9 65s
30869 6572 cutoff 60 0.86151 0.89639 4.05% 27.0 70s
33609 7021 0.89306 68 95 0.86151 0.89513 3.90% 27.0 75s
36611 7386 0.88409 72 96 0.86151 0.89352 3.72% 26.9 80s
39376 7603 cutoff 72 0.86151 0.89241 3.59% 27.0 85s
42259 7831 0.86275 66 89 0.86151 0.89080 3.40% 27.0 90s
44944 8006 cutoff 65 0.86151 0.88954 3.25% 27.2 95s
47630 8094 0.86817 69 90 0.86151 0.88828 3.11% 27.4 100s
50328 8185 0.88513 64 92 0.86151 0.88719 2.98% 27.5 105s
52665 8303 0.87420 61 102 0.86151 0.88627 2.87% 27.6 110s
55502 8307 cutoff 61 0.86151 0.88514 2.74% 27.7 115s
58248 8304 0.87946 74 57 0.86151 0.88397 2.61% 27.7 120s
60030 8312 cutoff 55 0.86151 0.88340 2.54% 27.7 125s
62723 8146 0.86156 80 76 0.86151 0.88241 2.43% 27.8 130s
64844 8012 cutoff 47 0.86151 0.88153 2.32% 27.9 135s
67632 7854 0.88013 77 90 0.86151 0.88046 2.20% 28.0 140s
69953 7753 infeasible 62 0.86151 0.87962 2.10% 28.0 145s
72543 7565 0.87869 63 98 0.86151 0.87869 1.99% 28.0 150s
74720 7247 0.87726 64 100 0.86151 0.87756 1.86% 28.1 155s
77404 6931 cutoff 71 0.86151 0.87639 1.73% 28.1 160s
79730 6607 cutoff 33 0.86151 0.87542 1.62% 28.1 165s
81283 6304 0.87432 82 80 0.86151 0.87471 1.53% 28.1 170s
83772 5759 0.86923 85 88 0.86151 0.87354 1.40% 28.2 175s
85867 5156 cutoff 75 0.86151 0.87224 1.25% 28.2 180s
88314 4354 cutoff 66 0.86151 0.87069 1.07% 28.2 185s
Cutting planes:
Gomory: 127
Cover: 1
Implied bound: 66
Projected implied bound: 29
MIR: 30
Flow cover: 137
Inf proof: 352
Zero half: 1
Explored 89404 nodes (2523633 simplex iterations) in 186.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.861509 0.861509
Optimal solution found (tolerance 1.00e-02)
Best objective 8.615086094407e-01, best bound 8.700851199162e-01, gap 0.9955%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjvyowdql.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkqxevvzg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.856258
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.121408e+00, 1021 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12141 0 112 0.85626 1.12141 31.0% - 0s
0 0 1.06942 0 111 0.85626 1.06942 24.9% - 0s
0 0 1.06941 0 111 0.85626 1.06941 24.9% - 0s
0 0 1.06144 0 117 0.85626 1.06144 24.0% - 0s
0 0 1.06142 0 116 0.85626 1.06142 24.0% - 0s
0 0 1.06101 0 119 0.85626 1.06101 23.9% - 0s
0 0 1.06091 0 119 0.85626 1.06091 23.9% - 0s
0 0 1.06086 0 119 0.85626 1.06086 23.9% - 0s
0 0 1.06086 0 119 0.85626 1.06086 23.9% - 0s
0 0 1.06086 0 103 0.85626 1.06086 23.9% - 0s
0 2 1.06086 0 103 0.85626 1.06086 23.9% - 0s
1311 645 0.88508 56 98 0.85626 0.98638 15.2% 26.1 5s
3146 949 0.88186 34 107 0.85626 0.94690 10.6% 29.5 10s
5068 1395 0.87287 41 119 0.85626 0.92914 8.51% 29.9 15s
7406 1913 0.88925 40 114 0.85626 0.92114 7.58% 29.8 20s
9202 2129 0.89269 32 124 0.85626 0.91661 7.05% 29.9 25s
11485 2614 0.86205 62 95 0.85626 0.91135 6.43% 29.9 30s
H12822 2810 0.8562580 0.90858 6.11% 29.8 33s
13310 2920 0.86613 41 125 0.85626 0.90807 6.05% 29.6 35s
H13360 2927 0.8563592 0.90807 6.04% 29.7 35s
15207 3228 cutoff 42 0.85636 0.90490 5.67% 29.4 40s
18046 3841 0.88624 76 83 0.85636 0.90159 5.28% 29.2 45s
20040 4168 0.86547 60 87 0.85636 0.90004 5.10% 29.2 50s
20747 4257 cutoff 38 0.85636 0.89934 5.02% 29.4 62s
21889 4472 cutoff 75 0.85636 0.89827 4.89% 29.5 65s
22670 4542 cutoff 34 0.85636 0.89734 4.79% 30.2 70s
24122 4667 0.85948 66 87 0.85636 0.89574 4.60% 30.9 75s
25626 4744 0.88126 35 130 0.85636 0.89398 4.39% 31.8 80s
27352 4918 0.86065 71 99 0.85636 0.89247 4.22% 32.4 85s
29180 5020 0.86814 52 97 0.85636 0.89087 4.03% 32.8 90s
31226 5316 0.88088 92 78 0.85636 0.88926 3.84% 33.0 95s
33190 5512 cutoff 59 0.85636 0.88758 3.65% 33.3 100s
34875 5750 cutoff 46 0.85636 0.88624 3.49% 33.3 105s
37124 6119 0.88216 56 117 0.85636 0.88506 3.35% 33.2 110s
39255 6347 cutoff 34 0.85636 0.88372 3.20% 33.2 115s
41486 6543 0.86110 85 54 0.85636 0.88232 3.03% 33.1 120s
43609 6688 infeasible 83 0.85636 0.88110 2.89% 33.0 125s
45845 6822 0.87660 69 118 0.85636 0.87988 2.75% 32.9 130s
48008 6894 cutoff 58 0.85636 0.87870 2.61% 32.8 135s
49922 6973 0.86626 50 118 0.85636 0.87767 2.49% 32.8 140s
51997 7011 0.86152 44 119 0.85636 0.87674 2.38% 32.8 145s
54661 7116 0.86616 67 86 0.85636 0.87554 2.24% 32.6 150s
56607 7049 cutoff 34 0.85636 0.87451 2.12% 32.6 155s
58749 7088 0.86301 52 129 0.85636 0.87365 2.02% 32.4 160s
60744 7010 cutoff 85 0.85636 0.87258 1.89% 32.2 165s
62897 6844 cutoff 60 0.85636 0.87161 1.78% 32.1 170s
65126 6643 cutoff 50 0.85636 0.87063 1.67% 31.9 175s
67486 6574 0.86738 93 51 0.85636 0.86974 1.56% 31.7 180s
69473 6347 cutoff 56 0.85636 0.86898 1.47% 31.5 185s
71316 6056 cutoff 89 0.85636 0.86815 1.38% 31.5 190s
73369 5748 infeasible 116 0.85636 0.86718 1.26% 31.3 195s
75332 5393 cutoff 108 0.85636 0.86634 1.17% 31.2 200s
77496 4932 infeasible 94 0.85636 0.86539 1.05% 31.0 205s
Cutting planes:
Gomory: 139
Implied bound: 56
Projected implied bound: 33
MIR: 29
Flow cover: 125
Inf proof: 302
Explored 78640 nodes (2432091 simplex iterations) in 207.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.856359 0.856258 0.856258
Optimal solution found (tolerance 1.00e-02)
Best objective 8.563591605187e-01, best bound 8.648949609851e-01, gap 0.9968%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdz1y65pu.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgr073jxc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.839885
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.095536e+00, 1043 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09554 0 114 0.83989 1.09554 30.4% - 0s
0 0 1.04660 0 113 0.83989 1.04660 24.6% - 0s
0 0 1.04657 0 113 0.83989 1.04657 24.6% - 0s
0 0 1.04160 0 119 0.83989 1.04160 24.0% - 0s
0 0 1.04159 0 116 0.83989 1.04159 24.0% - 0s
0 0 1.04130 0 115 0.83989 1.04130 24.0% - 0s
0 0 1.04126 0 115 0.83989 1.04126 24.0% - 0s
0 0 1.04090 0 112 0.83989 1.04090 23.9% - 0s
0 0 1.04090 0 114 0.83989 1.04090 23.9% - 0s
0 0 1.04089 0 112 0.83989 1.04089 23.9% - 0s
0 0 1.04089 0 112 0.83989 1.04089 23.9% - 0s
0 0 1.04089 0 113 0.83989 1.04089 23.9% - 0s
0 0 1.04089 0 95 0.83989 1.04089 23.9% - 0s
0 2 1.04089 0 95 0.83989 1.04089 23.9% - 0s
1658 784 0.90205 32 118 0.83989 0.94294 12.3% 20.6 5s
4130 1468 cutoff 53 0.83989 0.90751 8.05% 23.0 10s
6391 2071 0.88771 34 119 0.83989 0.89712 6.81% 25.3 15s
H 7139 2230 0.8398851 0.89473 6.53% 25.1 16s
8674 2399 cutoff 38 0.83989 0.88880 5.82% 26.1 20s
11622 2944 0.87254 67 88 0.83989 0.88313 5.15% 26.2 25s
13792 3267 0.87197 38 123 0.83989 0.88046 4.83% 26.5 30s
16773 3587 cutoff 70 0.83989 0.87542 4.23% 26.8 35s
20204 3926 cutoff 72 0.83989 0.87152 3.77% 26.9 41s
21017 3934 0.84368 74 81 0.83989 0.87135 3.75% 26.9 55s
23960 4196 0.84327 81 88 0.83989 0.86845 3.40% 27.3 60s
26417 4461 0.84071 83 81 0.83989 0.86669 3.19% 27.8 65s
28624 4514 cutoff 148 0.83989 0.86498 2.99% 28.2 70s
31331 4565 0.84747 64 112 0.83989 0.86326 2.78% 28.7 75s
33494 4463 0.85497 91 66 0.83989 0.86149 2.57% 29.2 80s
35991 4373 0.84778 49 123 0.83989 0.85947 2.33% 29.6 85s
38270 4244 infeasible 72 0.83989 0.85791 2.15% 29.8 90s
40845 4104 0.85555 105 64 0.83989 0.85612 1.93% 29.9 95s
43496 4111 infeasible 117 0.83989 0.85478 1.77% 29.7 101s
45118 3900 cutoff 70 0.83989 0.85365 1.64% 29.6 105s
47983 3667 cutoff 84 0.83989 0.85200 1.44% 29.4 110s
50176 3362 cutoff 103 0.83989 0.85053 1.27% 29.3 115s
52616 2831 infeasible 75 0.83989 0.84859 1.04% 29.2 120s
Cutting planes:
Gomory: 139
Cover: 2
Implied bound: 39
Projected implied bound: 34
MIR: 19
Flow cover: 124
Inf proof: 259
Explored 53143 nodes (1549673 simplex iterations) in 120.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.839885 0.839885
Optimal solution found (tolerance 1.00e-02)
Best objective 8.398850507699e-01, best bound 8.482668151999e-01, gap 0.9980%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpszuwiayg.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdknrv7st.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.820617
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.070028e+00, 1120 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07003 0 113 0.82062 1.07003 30.4% - 0s
0 0 1.02492 0 113 0.82062 1.02492 24.9% - 0s
0 0 1.02488 0 113 0.82062 1.02488 24.9% - 0s
0 0 1.02231 0 115 0.82062 1.02231 24.6% - 0s
0 0 1.02231 0 115 0.82062 1.02231 24.6% - 0s
0 0 1.02204 0 118 0.82062 1.02204 24.5% - 0s
0 0 1.02181 0 116 0.82062 1.02181 24.5% - 0s
0 0 1.02181 0 104 0.82062 1.02181 24.5% - 0s
0 2 1.02181 0 104 0.82062 1.02181 24.5% - 0s
1735 813 infeasible 44 0.82062 0.93940 14.5% 20.0 5s
4075 1481 cutoff 32 0.82062 0.90436 10.2% 23.2 10s
6330 1980 cutoff 36 0.82062 0.89123 8.61% 24.5 15s
8695 2307 0.84625 36 124 0.82062 0.88109 7.37% 25.1 20s
10788 2561 0.82337 35 122 0.82062 0.87250 6.32% 25.3 25s
13452 3109 0.82546 91 77 0.82062 0.86572 5.50% 24.7 30s
16767 3394 0.84287 30 120 0.82062 0.85941 4.73% 24.7 35s
20238 3974 cutoff 79 0.82062 0.85472 4.16% 24.3 40s
20637 3983 0.85205 52 103 0.82062 0.85384 4.05% 24.3 52s
22382 4239 0.84362 78 88 0.82062 0.85204 3.83% 24.5 55s
25133 4612 cutoff 86 0.82062 0.84965 3.54% 25.2 60s
28200 5090 0.82640 58 108 0.82062 0.84749 3.27% 25.5 65s
31198 5408 infeasible 94 0.82062 0.84552 3.03% 25.9 70s
35024 6014 cutoff 108 0.82062 0.84370 2.81% 25.6 75s
38805 6681 infeasible 136 0.82062 0.84228 2.64% 25.3 80s
41708 6869 0.82961 75 69 0.82062 0.84086 2.47% 25.5 85s
44901 7020 cutoff 41 0.82062 0.83939 2.29% 25.5 90s
48084 7100 0.83147 99 34 0.82062 0.83792 2.11% 25.6 95s
50234 7162 cutoff 67 0.82062 0.83664 1.95% 25.6 100s
53408 7157 0.82981 103 75 0.82062 0.83514 1.77% 25.5 105s
56162 7004 infeasible 87 0.82062 0.83388 1.62% 25.5 110s
58982 6753 0.82807 73 110 0.82062 0.83230 1.42% 25.5 115s
61685 6298 cutoff 99 0.82062 0.83090 1.25% 25.5 120s
64821 5999 0.82382 111 62 0.82062 0.82987 1.13% 25.3 125s
68118 5817 cutoff 95 0.82062 0.82891 1.01% 24.9 130s
Cutting planes:
Gomory: 146
Cover: 1
Implied bound: 43
Projected implied bound: 37
Clique: 1
MIR: 22
Flow cover: 112
Inf proof: 297
Explored 68416 nodes (1707724 simplex iterations) in 130.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.820617
Optimal solution found (tolerance 1.00e-02)
Best objective 8.206167096149e-01, best bound 8.288052514366e-01, gap 0.9979%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpntgxlzkk.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb9o_s23u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.802437
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.045675e+00, 1131 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04568 0 115 0.80244 1.04568 30.3% - 0s
0 0 1.00095 0 114 0.80244 1.00095 24.7% - 0s
0 0 1.00092 0 114 0.80244 1.00092 24.7% - 0s
0 0 0.99920 0 129 0.80244 0.99920 24.5% - 0s
0 0 0.99916 0 119 0.80244 0.99916 24.5% - 0s
0 0 0.99913 0 120 0.80244 0.99913 24.5% - 0s
0 0 0.99913 0 120 0.80244 0.99913 24.5% - 0s
0 0 0.99896 0 127 0.80244 0.99896 24.5% - 0s
0 0 0.99896 0 127 0.80244 0.99896 24.5% - 0s
0 0 0.99896 0 124 0.80244 0.99896 24.5% - 0s
0 0 0.99895 0 128 0.80244 0.99895 24.5% - 0s
0 0 0.99893 0 116 0.80244 0.99893 24.5% - 0s
0 0 0.99893 0 114 0.80244 0.99893 24.5% - 0s
0 2 0.99893 0 114 0.80244 0.99893 24.5% - 0s
1289 625 0.86816 23 126 0.80244 0.91770 14.4% 25.7 5s
H 1619 662 0.8024366 0.90750 13.1% 25.3 6s
3251 940 0.82729 40 119 0.80244 0.87414 8.94% 27.8 10s
5235 1437 0.83642 32 123 0.80244 0.86376 7.64% 29.1 15s
7272 1858 0.85552 28 147 0.80244 0.85552 6.62% 30.1 20s
H 7777 1894 0.8024366 0.85409 6.44% 30.4 21s
9125 2200 cutoff 40 0.80244 0.85019 5.95% 29.9 25s
11801 2796 0.80954 60 103 0.80244 0.84395 5.17% 28.9 30s
14692 3409 0.81653 69 95 0.80244 0.83976 4.65% 28.2 35s
16815 3679 0.81038 43 115 0.80244 0.83772 4.40% 28.4 40s
19310 3916 cutoff 37 0.80244 0.83546 4.12% 28.6 45s
20637 4038 cutoff 78 0.80244 0.83431 3.97% 28.6 60s
22244 4080 cutoff 79 0.80244 0.83284 3.79% 29.2 65s
24397 4275 cutoff 63 0.80244 0.83074 3.53% 29.9 70s
26270 4489 0.81530 73 85 0.80244 0.82916 3.33% 30.3 75s
28532 4599 0.82412 79 100 0.80244 0.82726 3.09% 30.9 80s
30931 4515 0.81572 38 127 0.80244 0.82512 2.83% 31.4 85s
32998 4458 0.81328 68 96 0.80244 0.82342 2.61% 31.7 90s
35268 4310 infeasible 45 0.80244 0.82159 2.39% 32.0 95s
37884 4295 0.81642 68 89 0.80244 0.81980 2.16% 31.9 100s
39822 4176 cutoff 32 0.80244 0.81843 1.99% 31.8 105s
42252 4092 cutoff 65 0.80244 0.81709 1.83% 31.7 110s
44570 3939 0.81405 86 91 0.80244 0.81561 1.64% 31.5 115s
46876 3663 0.81036 66 75 0.80244 0.81412 1.46% 31.4 120s
48450 3417 0.80783 69 70 0.80244 0.81280 1.29% 31.4 125s
50657 3096 cutoff 95 0.80244 0.81132 1.11% 31.2 130s
Cutting planes:
Gomory: 138
Implied bound: 55
Projected implied bound: 47
MIR: 19
Flow cover: 131
Inf proof: 223
Explored 52771 nodes (1631118 simplex iterations) in 133.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.802437 0.802437 0.802437
Optimal solution found (tolerance 1.00e-02)
Best objective 8.024366076747e-01, best bound 8.100006215551e-01, gap 0.9426%
Run 3
Seed for training 295
Seed for simulation 573
direc: array([[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -2.50491548e-12, 1.94642377e-02]])
fopt: 0.4751183901455711
fun: -0.4763975031216447
message: 'Optimization terminated successfully.'
nfev: 670
nit: 9
status: 0
success: True
x: array([254.00956119, 3.00009474, 20.18294374])
xopt: array([254., 3., 20.])
zopt: array([254., 257., 277.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpikya1y5p.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgemn7dve.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.475118
Presolve removed 690 rows and 447 columns
Presolve time: 0.04s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.034355e+00, 1019 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03436 0 98 0.47512 1.03436 118% - 0s
0 0 0.94514 0 116 0.47512 0.94514 98.9% - 0s
0 0 0.94513 0 116 0.47512 0.94513 98.9% - 0s
0 0 0.94125 0 125 0.47512 0.94125 98.1% - 0s
0 0 0.94123 0 127 0.47512 0.94123 98.1% - 0s
0 0 0.94034 0 130 0.47512 0.94034 97.9% - 0s
0 0 0.94034 0 134 0.47512 0.94034 97.9% - 0s
0 0 0.94012 0 125 0.47512 0.94012 97.9% - 0s
0 0 0.94012 0 115 0.47512 0.94012 97.9% - 0s
0 2 0.94012 0 112 0.47512 0.94012 97.9% - 0s
* 630 492 123 0.5078175 0.92035 81.2% 12.7 1s
1400 825 0.90882 19 133 0.50782 0.91706 80.6% 20.6 5s
3961 2241 0.67829 38 103 0.50782 0.90041 77.3% 22.9 10s
6671 3906 infeasible 30 0.50782 0.89633 76.5% 24.4 15s
8995 5149 0.71045 40 99 0.50782 0.89199 75.7% 26.1 20s
11412 6306 0.68165 36 122 0.50782 0.88851 75.0% 27.7 25s
H13265 7282 0.5078175 0.88602 74.5% 28.5 28s
13553 7412 0.60602 42 115 0.50782 0.88567 74.4% 28.7 30s
14840 8067 cutoff 35 0.50782 0.88445 74.2% 29.2 35s
17084 9084 0.67264 32 89 0.50782 0.88219 73.7% 30.0 40s
19289 10123 0.51912 38 74 0.50782 0.88014 73.3% 30.6 45s
20891 10926 0.57690 75 115 0.50782 0.87882 73.1% 31.0 61s
20905 10935 0.77884 40 192 0.50782 0.87882 73.1% 30.9 65s
20918 10944 0.78508 34 187 0.50782 0.87882 73.1% 30.9 70s
20928 10951 0.65782 29 195 0.50782 0.87882 73.1% 30.9 75s
20936 10956 0.82667 36 206 0.50782 0.87882 73.1% 30.9 81s
20943 10961 0.75758 47 217 0.50782 0.87882 73.1% 30.9 85s
20950 10965 0.63590 58 223 0.50782 0.87882 73.1% 30.9 90s
20958 10971 0.78001 43 231 0.50782 0.87882 73.1% 30.9 95s
20968 10977 0.56160 43 231 0.50782 0.87882 73.1% 30.9 100s
20976 10983 0.81089 30 223 0.50782 0.87882 73.1% 30.8 105s
20982 10987 0.82123 35 237 0.50782 0.87882 73.1% 30.8 110s
20990 10992 0.87650 26 239 0.50782 0.87882 73.1% 30.8 115s
20997 10997 0.74865 29 236 0.50782 0.87882 73.1% 30.8 120s
H21000 10447 0.5907441 0.87615 48.3% 30.8 122s
21005 10450 0.77884 40 221 0.59074 0.87529 48.2% 30.8 125s
21013 10455 0.81878 42 227 0.59074 0.87468 48.1% 30.8 130s
21022 10461 0.59074 37 212 0.59074 0.87047 47.4% 30.8 135s
H21022 9935 0.6717516 0.87047 29.6% 30.8 137s
21027 9939 0.67987 38 217 0.67175 0.87002 29.5% 30.8 140s
21034 9943 0.67175 53 226 0.67175 0.86889 29.3% 30.8 145s
21043 9949 0.75758 47 222 0.67175 0.86858 29.3% 30.7 150s
21048 9953 0.67175 39 222 0.67175 0.86854 29.3% 30.7 155s
21053 9956 0.84671 32 228 0.67175 0.86854 29.3% 30.7 160s
21057 9960 0.78842 20 195 0.67175 0.86645 29.0% 32.0 168s
21061 9957 infeasible 21 0.67175 0.86532 28.8% 32.0 172s
H21082 9462 0.6722195 0.86108 28.1% 32.2 175s
H21115 8995 0.6814309 0.86108 26.4% 32.2 177s
21181 9012 cutoff 39 0.68143 0.86096 26.3% 32.5 181s
H21183 8567 0.7011192 0.86096 22.8% 32.5 181s
H21214 8146 0.7327468 0.86096 17.5% 32.5 183s
21337 8156 0.85302 31 198 0.73275 0.86013 17.4% 32.8 185s
21798 8254 0.82296 45 159 0.73275 0.85329 16.5% 33.6 190s
22298 8354 0.79514 43 150 0.73275 0.84984 16.0% 34.5 195s
22817 8458 0.78864 46 187 0.73275 0.84683 15.6% 35.5 200s
23423 8583 cutoff 43 0.73275 0.84482 15.3% 36.5 205s
24028 8735 0.74478 47 179 0.73275 0.84362 15.1% 37.5 211s
24542 8817 0.76771 39 162 0.73275 0.84291 15.0% 38.6 215s
24982 8905 0.83894 35 170 0.73275 0.84229 14.9% 39.3 220s
*25240 8538 159 0.7327505 0.84216 14.9% 39.3 221s
25541 8629 0.79899 37 203 0.73275 0.84152 14.8% 40.1 225s
26018 8647 0.73280 42 168 0.73275 0.84057 14.7% 41.1 230s
26493 8767 0.83504 38 174 0.73275 0.83980 14.6% 41.6 237s
26746 8819 cutoff 38 0.73275 0.83923 14.5% 41.9 241s
27234 8927 0.82350 56 144 0.73275 0.83881 14.5% 42.4 245s
27740 9023 0.73552 41 175 0.73275 0.83827 14.4% 43.2 250s
28261 9135 0.82665 37 184 0.73275 0.83739 14.3% 43.8 255s
28755 9206 0.75273 40 168 0.73275 0.83670 14.2% 44.4 261s
29399 9292 0.77200 47 132 0.73275 0.83612 14.1% 45.2 266s
30045 9330 cutoff 54 0.73275 0.83568 14.0% 46.1 273s
30363 9353 cutoff 43 0.73275 0.83542 14.0% 46.7 276s
30746 9384 cutoff 49 0.73275 0.83539 14.0% 47.1 280s
31367 9417 0.74373 48 154 0.73275 0.83476 13.9% 48.3 286s
31623 9445 0.74388 49 153 0.73275 0.83446 13.9% 48.8 290s
32337 9434 cutoff 64 0.73275 0.83360 13.8% 49.9 297s
32653 9441 0.73872 40 172 0.73275 0.83341 13.7% 50.4 301s
33406 9515 0.73551 42 158 0.73275 0.83275 13.6% 51.2 308s
33814 9568 0.80213 37 166 0.73275 0.83220 13.6% 51.6 312s
34159 9573 0.82689 47 152 0.73275 0.83198 13.5% 52.0 315s
34980 9676 0.78340 36 188 0.73275 0.83158 13.5% 52.7 323s
35161 9650 0.76613 40 182 0.73275 0.83146 13.5% 53.1 327s
35718 9717 0.82069 36 177 0.73275 0.83137 13.5% 53.3 332s
*35973 9102 141 0.7381999 0.83137 12.6% 53.2 332s
36432 9255 0.76029 38 171 0.73820 0.83137 12.6% 53.3 336s
36965 9321 0.75488 50 149 0.73820 0.83109 12.6% 53.6 342s
H36996 7391 0.7616778 0.83109 9.11% 53.6 342s
37112 7383 cutoff 41 0.76168 0.83093 9.09% 53.6 346s
37763 7485 0.81809 63 146 0.76168 0.83085 9.08% 53.7 350s
38949 7599 0.76436 49 145 0.76168 0.83038 9.02% 54.0 357s
39377 7611 cutoff 42 0.76168 0.83037 9.02% 54.5 361s
40095 7571 infeasible 42 0.76168 0.82969 8.93% 55.4 368s
40612 7589 cutoff 41 0.76168 0.82940 8.89% 55.7 372s
41125 7612 cutoff 49 0.76168 0.82925 8.87% 56.0 376s
42065 7683 0.80804 38 194 0.76168 0.82875 8.81% 56.3 383s
42622 7881 0.82657 34 189 0.76168 0.82874 8.80% 56.5 387s
43186 8128 0.78657 38 177 0.76168 0.82855 8.78% 56.6 390s
44143 8486 0.79753 39 192 0.76168 0.82823 8.74% 57.0 398s
44657 8673 0.82040 37 186 0.76168 0.82794 8.70% 57.2 401s
45058 8786 0.82613 55 128 0.76168 0.82781 8.68% 57.5 405s
45949 9059 0.80762 52 122 0.76168 0.82758 8.65% 57.9 411s
46376 9185 0.77041 47 139 0.76168 0.82744 8.63% 58.2 415s
47165 9444 cutoff 52 0.76168 0.82729 8.61% 58.7 422s
47626 9616 0.80043 46 160 0.76168 0.82724 8.61% 58.9 425s
48627 9978 0.78153 56 107 0.76168 0.82701 8.58% 59.1 432s
49061 10171 0.80022 41 215 0.76168 0.82692 8.57% 59.2 435s
50216 10673 cutoff 67 0.76168 0.82675 8.54% 59.3 444s
H50218 10583 0.7626799 0.82675 8.40% 59.3 444s
H50221 7706 0.7826384 0.82675 5.64% 59.3 444s
H50230 7083 0.7870015 0.82673 5.05% 59.3 444s
H50232 7079 0.7870466 0.82673 5.04% 59.3 444s
50270 7049 0.81583 69 107 0.78705 0.82673 5.04% 59.3 448s
50742 7190 0.80688 50 137 0.78705 0.82655 5.02% 59.5 451s
51477 7339 0.80750 38 179 0.78705 0.82636 4.99% 60.0 457s
51865 7409 0.80839 64 139 0.78705 0.82617 4.97% 60.3 461s
52188 7476 cutoff 54 0.78705 0.82605 4.96% 60.6 467s
H52190 7257 0.7884822 0.82605 4.77% 60.6 467s
52349 7285 cutoff 43 0.78848 0.82593 4.75% 60.6 470s
53160 7409 0.80450 38 195 0.78848 0.82572 4.72% 61.1 477s
53599 7521 cutoff 48 0.78848 0.82554 4.70% 61.3 480s
54408 7698 cutoff 40 0.78848 0.82524 4.66% 61.7 487s
54846 7736 infeasible 69 0.78848 0.82520 4.66% 62.0 490s
55657 7875 cutoff 38 0.78848 0.82474 4.60% 62.4 497s
56075 7945 0.79328 40 169 0.78848 0.82463 4.58% 62.6 500s
57057 8182 0.80524 32 180 0.78848 0.82436 4.55% 62.9 507s
57614 8335 0.81748 59 137 0.78848 0.82428 4.54% 62.9 511s
58631 8643 0.81238 69 109 0.78848 0.82410 4.52% 63.0 517s
59037 8703 0.80986 38 203 0.78848 0.82397 4.50% 63.2 520s
59910 8870 infeasible 38 0.78848 0.82372 4.47% 63.4 526s
60319 8938 cutoff 47 0.78848 0.82361 4.46% 63.6 530s
61141 9096 0.79618 65 144 0.78848 0.82342 4.43% 63.8 536s
62126 9343 infeasible 46 0.78848 0.82314 4.40% 64.0 543s
62631 9448 0.82116 37 183 0.78848 0.82297 4.37% 64.0 546s
63462 9673 cutoff 69 0.78848 0.82281 4.35% 64.3 552s
63834 9746 cutoff 43 0.78848 0.82269 4.34% 64.4 555s
64608 9911 0.79414 68 107 0.78848 0.82254 4.32% 64.8 562s
65167 10045 0.81240 58 140 0.78848 0.82239 4.30% 64.7 565s
65942 10169 0.81168 46 163 0.78848 0.82214 4.27% 65.0 572s
66389 10270 infeasible 61 0.78848 0.82205 4.26% 65.1 575s
67028 10333 infeasible 60 0.78848 0.82186 4.23% 65.5 582s
67501 10420 infeasible 76 0.78848 0.82174 4.22% 65.6 585s
68379 10658 cutoff 73 0.78848 0.82161 4.20% 65.8 591s
68787 10719 0.78962 61 125 0.78848 0.82148 4.18% 65.9 595s
69546 10813 0.80593 77 83 0.78848 0.82134 4.17% 66.2 600s
Cutting planes:
Gomory: 205
Cover: 6
Implied bound: 116
Projected implied bound: 58
MIR: 216
StrongCG: 4
Flow cover: 491
Inf proof: 252
Explored 69814 nodes (4624093 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.788482 0.787047 0.787002 ... 0.701119
Time limit reached
Best objective 7.884822250068e-01, best bound 8.212272615379e-01, gap 4.1529%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjjhh3u_k.pyomo.lp
Reading time = 0.00 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8sgt1c8m.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 670 rows and 478 columns
Presolve time: 0.00s
Presolved: 276 rows, 333 columns, 1365 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.2481176e+01 4.997500e+02 0.000000e+00 0s
154 1.4517496e+01 0.000000e+00 0.000000e+00 0s
Solved in 154 iterations and 0.00 seconds
Optimal objective 1.451749593e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00294318, -0.01395032, -0.01395032]])
fopt: 3.5534126956833925
fun: -3.564461751680684
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 19.98779859, -87.9999986 , -87.9999986 ])
xopt: array([20., 0., 0.])
zopt: array([20., 20., 20.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.1870488 , 0.00918121, 0.04009035]])
fopt: 2.720981354060864
fun: -2.746937430845209
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([38.03602046, -0.84311175, -5.99369468])
xopt: array([38., 0., 0.])
zopt: array([38., 38., 38.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.03584738, 0.00119395, -0. ]])
fopt: 2.3923269613769067
fun: -2.405625421747683
message: 'Optimization terminated successfully.'
nfev: 261
nit: 2
status: 0
success: True
x: array([61.0126109, -0.9988062, 1. ])
xopt: array([61., 0., 1.])
zopt: array([61., 61., 62.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.12426044e-03, 7.71589811e-05, 7.71589810e-05]])
fopt: 2.2001530905521665
fun: -2.213059586482226
message: 'Optimization terminated successfully.'
nfev: 189
nit: 2
status: 0
success: True
x: array([81.97931409, -0.99992334, -0.99997914])
xopt: array([82., 0., 0.])
zopt: array([82., 82., 82.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.53115625e-01, -3.73354930e-11, -0.00000000e+00]])
fopt: 2.0230397354932603
fun: -2.032082871671254
message: 'Optimization terminated successfully.'
nfev: 339
nit: 3
status: 0
success: True
x: array([ 100.00221063, 1. , -175.99374 ])
xopt: array([100., 1., 0.])
zopt: array([100., 101., 101.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1490
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.74135606e-02, 7.02484255e-04, -4.52934724e-04]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1580
nit: 4
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1532
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[-7.66481156e+01, 6.64143864e+01, -6.05295954e+01],
[-1.57590388e+00, 1.05010390e+00, -1.39092986e+00],
[-1.72959966e-04, 5.55198982e-07, -5.39569300e-07]])
fopt: 1.7023393298372356
fun: -1.7612915144804888
message: 'Optimization terminated successfully.'
nfev: 446
nit: 6
status: 0
success: True
x: array([ 83.03038311, 76.00671282, -68.32266959])
xopt: array([83., 77., 0.])
zopt: array([ 83., 160., 160.])
*******************************************
Period: 10
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.1945755525193686
fun: -1.1971016259588183
message: 'Optimization terminated successfully.'
nfev: 312
nit: 3
status: 0
success: True
x: array([157.19855183, 2.00004003, -0.99999978])
xopt: array([157., 2., 0.])
zopt: array([157., 159., 159.])
*******************************************
Period: 11
direc: array([[ 4.31332332e-03, 4.96046846e-07, 5.48447115e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.06218501e-02, -9.17740585e-03, 1.41991165e+01]])
fopt: 1.2918291530838892
fun: -1.2927904986102399
message: 'Optimization terminated successfully.'
nfev: 466
nit: 5
status: 0
success: True
x: array([157.55554177, 2.00760644, 19.002565 ])
xopt: array([157., 2., 19.])
zopt: array([157., 159., 178.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 33.98853717]])
fopt: 1.2661154501544765
fun: -1.2665660776121253
message: 'Optimization terminated successfully.'
nfev: 486
nit: 6
status: 0
success: True
x: array([157.65441577, 2.00254447, 39.00394834])
xopt: array([157., 2., 39.])
zopt: array([157., 159., 198.])
*******************************************
Period: 13
direc: array([[-5.91661677e-07, -5.47443030e-10, -9.05587805e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.01392928e-06, -1.59521726e-01, 2.71566728e+01]])
fopt: 1.2426193768064988
fun: -1.24318058229869
message: 'Optimization terminated successfully.'
nfev: 558
nit: 6
status: 0
success: True
x: array([158.68285809, 3.01382027, 55.00087295])
xopt: array([158., 3., 55.])
zopt: array([158., 161., 216.])
*******************************************
Period: 14
direc: array([[ 3.62403956e-07, 1.86866969e-11, 5.50240039e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.53954968e-17, -3.97711000e-13, -3.01553097e-09]])
fopt: 1.2468532763527647
fun: -1.2463091318492172
message: 'Optimization terminated successfully.'
nfev: 337
nit: 3
status: 0
success: True
x: array([158.68265497, 1.01749355, 74.38591613])
xopt: array([158., 1., 74.])
zopt: array([158., 159., 233.])
*******************************************
Period: 15
direc: array([[-1.53974447e-06, -1.11325464e-09, -2.33321082e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 1.1790414028286038
fun: -1.177195260877605
message: 'Optimization terminated successfully.'
nfev: 328
nit: 3
status: 0
success: True
x: array([158.68265306, 1.05462942, 100.82691082])
xopt: array([158., 1., 100.])
zopt: array([158., 159., 259.])
*******************************************
Period: 16
direc: array([[-2.32559072e-01, -1.19914830e-05, -3.34551649e-03],
[-1.35587731e+01, 1.84164432e-02, 7.44949870e+01],
[ 0.00000000e+00, 1.81281242e+01, 0.00000000e+00]])
fopt: 1.2293520126311697
fun: -1.2288749922478646
message: 'Optimization terminated successfully.'
nfev: 957
nit: 11
status: 0
success: True
x: array([133.21758965, 76.00014347, 118. ])
xopt: array([133., 77., 118.])
zopt: array([133., 210., 328.])
*******************************************
Period: 17
direc: array([[3.13877300e-03, 1.61845087e-07, 4.43021931e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.38796143e-01, 6.85144237e-06, 1.13859160e+02]])
fopt: 1.0719291227548324
fun: -1.070737114677657
message: 'Optimization terminated successfully.'
nfev: 592
nit: 5
status: 0
success: True
x: array([158.81138057, 1.00813694, 119.73088126])
xopt: array([158., 1., 119.])
zopt: array([158., 159., 278.])
*******************************************
Period: 18
direc: array([[-2.63597419e-03, -1.36262870e-07, -3.75855713e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.17003801e-12, 1.36090218e-12, -2.97318988e-10]])
fopt: 0.6423932081702626
fun: -0.6377052431806406
message: 'Optimization terminated successfully.'
nfev: 296
nit: 3
status: 0
success: True
x: array([158.27795457, 1.00000007, 5.01896255])
xopt: array([158., 1., 6.])
zopt: array([158., 159., 165.])
*******************************************
Period: 19
direc: array([[-1.11826576e-01, -1.37016568e-11, -1.53204873e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.30713142e-15, 3.39479675e-17, -1.13294869e-06]])
fopt: 0.978736275480447
fun: -0.9757536213950129
message: 'Optimization terminated successfully.'
nfev: 419
nit: 4
status: 0
success: True
x: array([157.77999854, 2.00000002, 159.06189453])
xopt: array([157., 3., 160.])
zopt: array([157., 160., 320.])
*******************************************
Period: 20
direc: array([[3.38967293e-03, 2.16591550e-05, 4.33183105e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.96196990e-01, 2.84185668e-05, 1.14243840e+02]])
fopt: 0.8992956084919147
fun: -0.8978768986890832
message: 'Optimization terminated successfully.'
nfev: 520
nit: 6
status: 0
success: True
x: array([157.77559399, 2.00005782, 159.12105772])
xopt: array([157., 3., 160.])
zopt: array([157., 160., 320.])
*******************************************
Period: 21
direc: array([[4.07985700e-01, 2.61029016e-03, 5.22058038e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.07245209e+01, 2.34008705e+00, 2.00158115e+02]])
fopt: 0.8663598588050129
fun: -0.8674427982364722
message: 'Optimization terminated successfully.'
nfev: 391
nit: 4
status: 0
success: True
x: array([194.78255431, 4.00081619, 205.11664397])
xopt: array([194., 4., 205.])
zopt: array([194., 198., 403.])
*******************************************
Period: 22
direc: array([[2.49192520e-01, 1.59229306e-03, 3.18458617e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.29929113e+01, 1.46920354e-01, 1.95785024e+02]])
fopt: 0.87432736732315
fun: -0.8705863270360985
message: 'Optimization terminated successfully.'
nfev: 410
nit: 4
status: 0
success: True
x: array([179.68558911, 3.20323074, 200.89278336])
xopt: array([179., 4., 201.])
zopt: array([179., 183., 384.])
*******************************************
Period: 23
direc: array([[1.43652631e-02, 0.00000000e+00, 1.82128713e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.32459478e+00, 1.34529937e+01, 1.86680655e+02]])
fopt: 0.8773762815315181
fun: -0.8776013766582683
message: 'Optimization terminated successfully.'
nfev: 439
nit: 5
status: 0
success: True
x: array([158.00000812, 18.00849019, 193.00451995])
xopt: array([158., 19., 194.])
zopt: array([158., 177., 371.])
*******************************************
Period: 24
direc: array([[ 3.71204512e-02, 0.00000000e+00, 4.70591816e-04],
[ 2.06623739e+00, 0.00000000e+00, 1.13074105e+02],
[ 8.97046237e-11, -1.97240403e-08, 1.04409284e-10]])
fopt: 0.8589515576182236
fun: -0.8590565608222498
message: 'Optimization terminated successfully.'
nfev: 785
nit: 10
status: 0
success: True
x: array([159.06124425, 6.02515951, 184.00168992])
xopt: array([159., 7., 185.])
zopt: array([159., 166., 351.])
*******************************************
Period: 25
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 2.81994512e-02, 6.91712890e+01]])
fopt: 0.8275796095257555
fun: -0.8262295388238754
message: 'Optimization terminated successfully.'
nfev: 423
nit: 5
status: 0
success: True
x: array([157.26831073, 2.10551744, 176.24258711])
xopt: array([157., 3., 177.])
zopt: array([157., 160., 337.])
*******************************************
Period: 26
direc: array([[-7.49454294e-05, -0.00000000e+00, -1.16163088e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.10033539e-03, 4.93171451e-04, 1.09386711e+02]])
fopt: 0.8118304217001983
fun: -0.81143750032294
message: 'Optimization terminated successfully.'
nfev: 554
nit: 6
status: 0
success: True
x: array([158.0000056 , 1.02359221, 176.16211558])
xopt: array([158., 2., 177.])
zopt: array([158., 160., 337.])
*******************************************
Period: 27
direc: array([[5.80319088e-02, 3.71059088e-04, 7.43586895e-04],
[5.47525709e+00, 1.50415735e+01, 1.91816971e+02],
[1.48463641e-09, 1.00000000e+00, 1.90141236e-11]])
fopt: 0.8490982036973381
fun: -0.8489629951641886
message: 'Optimization terminated successfully.'
nfev: 485
nit: 5
status: 0
success: True
x: array([161.08000584, 20.09394809, 198.02252519])
xopt: array([161., 21., 199.])
zopt: array([161., 182., 381.])
*******************************************
Period: 28
direc: array([[8.65123092e-05, 5.51972966e-07, 1.12074791e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.90115891e-03, 2.13410161e-05, 1.13183152e+02]])
fopt: 0.815414694010044
fun: -0.8143085608953929
message: 'Optimization terminated successfully.'
nfev: 508
nit: 5
status: 0
success: True
x: array([157.74076842, 3.00003649, 177.31088094])
xopt: array([157., 4., 178.])
zopt: array([157., 161., 339.])
*******************************************
Period: 29
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 3.75050425e-09, 2.49451829e+01]])
fopt: 0.820328122420071
fun: -0.8200067241669611
message: 'Optimization terminated successfully.'
nfev: 483
nit: 6
status: 0
success: True
x: array([157.70330008, 2.00677273, 176.06850636])
xopt: array([157., 3., 177.])
zopt: array([157., 160., 337.])
*******************************************
Period: 30
direc: array([[3.65757956e-06, 2.27185382e-08, 5.16308435e-08],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.88895906e-04, 1.79443606e-06, 1.58065976e+02]])
fopt: 0.7943733814152404
fun: -0.793830281949914
message: 'Optimization terminated successfully.'
nfev: 468
nit: 4
status: 0
success: True
x: array([161.99541459, 2.00014495, 163.33980395])
xopt: array([161., 3., 164.])
zopt: array([161., 164., 328.])
*******************************************
Period: 31
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 4.29695192e-06, 1.14375164e+02]])
fopt: 0.8220526996104943
fun: -0.8222739554399771
message: 'Optimization terminated successfully.'
nfev: 431
nit: 5
status: 0
success: True
x: array([180.65276905, 2.01411193, 199.08316324])
xopt: array([180., 3., 200.])
zopt: array([180., 183., 383.])
*******************************************
Period: 32
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 198.17511393]])
fopt: 0.7830326907460917
fun: -0.7845674521173924
message: 'Optimization terminated successfully.'
nfev: 743
nit: 9
status: 0
success: True
x: array([202.89011282, 2.00002663, 204.00018837])
xopt: array([202., 2., 204.])
zopt: array([202., 204., 408.])
*******************************************
Period: 33
direc: array([[1.83899142e-01, 9.37293070e-04, 1.87458616e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.65149080e+00, 3.80073682e+01, 7.80681682e+01]])
fopt: 0.6313709489206176
fun: -0.629399196170201
message: 'Optimization terminated successfully.'
nfev: 418
nit: 5
status: 0
success: True
x: array([203.75756928, 43.00685753, 83.12126191])
xopt: array([203., 43., 84.])
zopt: array([203., 246., 330.])
*******************************************
Period: 34
direc: array([[ 4.77694583e-03, 6.20011229e+00, 1.36951268e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.38757590e+01, -2.94416899e+00, -2.42785396e-01]])
fopt: 0.8126577051435053
fun: -0.8133399775636592
message: 'Optimization terminated successfully.'
nfev: 661
nit: 8
status: 0
success: True
x: array([168.17262912, 18.00048948, 203.00156369])
xopt: array([168., 19., 204.])
zopt: array([168., 187., 391.])
*******************************************
Period: 35
direc: array([[0. , 0. , 1. ],
[0. , 1. , 0. ],
[0.73031898, 0.00370025, 0.01111398]])
fopt: 0.7640034586327874
fun: -0.765146796931581
message: 'Optimization terminated successfully.'
nfev: 388
nit: 4
status: 0
success: True
x: array([199.09963802, 2.00000081, 205.14804878])
xopt: array([199., 2., 205.])
zopt: array([199., 201., 406.])
*******************************************
Period: 36
direc: array([[ 1.49487125e-02, 7.66323539e-05, 1.53264710e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.23676354e-01, -3.10259155e-01, -6.48716657e-01]])
fopt: 0.6996781795838845
fun: -0.697658330071236
message: 'Optimization terminated successfully.'
nfev: 518
nit: 5
status: 0
success: True
x: array([176.51644066, 50.0209186 , 103.36286094])
xopt: array([176., 50., 104.])
zopt: array([176., 226., 330.])
*******************************************
Period: 37
direc: array([[ 7.11754453e-04, 3.15448681e-08, 3.50905362e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.71208085e-02, -3.23405625e-02, 2.40544593e+01]])
fopt: 0.7539741724842254
fun: -0.7624684307028756
message: 'Optimization terminated successfully.'
nfev: 554
nit: 7
status: 0
success: True
x: array([202.63604801, -13.63607219, 205.23478724])
xopt: array([202., 0., 205.])
zopt: array([202., 202., 407.])
*******************************************
Period: 38
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.98800383e+02, 7.21526712e+01, 1.07174655e+02],
[ 1.85150960e-05, 2.11140915e-07, -2.91584818e-05]])
fopt: 0.8045166011458617
fun: -0.7991922694504996
message: 'Optimization terminated successfully.'
nfev: 397
nit: 6
status: 0
success: True
x: array([ 83.20521655, 77.19522578, 117.00011309])
xopt: array([ 83., 78., 118.])
zopt: array([ 83., 161., 279.])
*******************************************
Period: 39
direc: array([[5.50515869e-03, 2.77878577e-05, 5.55757162e-05],
[1.11129366e+00, 5.09556446e-03, 2.01875275e+02],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7493792683050464
fun: -0.7507588621455621
message: 'Optimization terminated successfully.'
nfev: 597
nit: 6
status: 0
success: True
x: array([199.21991534, 5.00002136, 205.00388139])
xopt: array([199., 5., 205.])
zopt: array([199., 204., 409.])
*******************************************
Period: 40
direc: array([[1.83447635e-01, 9.35189231e-04, 1.87037849e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.23289018e+00, 5.03797144e+01, 1.08990526e+02]])
fopt: 0.6137700626076471
fun: -0.6123980587564601
message: 'Optimization terminated successfully.'
nfev: 369
nit: 5
status: 0
success: True
x: array([205.94029161, 54.21952863, 116.00434056])
xopt: array([205., 54., 117.])
zopt: array([205., 259., 376.])
*******************************************
Period: 41
direc: array([[-2.24348876e+00, -1.23352316e-02, -2.42084325e-02],
[-2.98505631e-01, 4.92712480e+00, 1.02578416e+01],
[-1.55454351e-01, 1.40201543e+01, -1.38590074e-04]])
fopt: 0.8676440339746225
fun: -0.866818466949628
message: 'Optimization terminated successfully.'
nfev: 754
nit: 10
status: 0
success: True
x: array([ 83. , 109.0003734 , 202.00000093])
xopt: array([ 83., 110., 203.])
zopt: array([ 83., 193., 396.])
*******************************************
Period: 42
direc: array([[ 6.28795912e-04, 3.71519547e-06, 6.47364542e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.15387982e-02, -3.37494992e-03, 1.99149874e+02]])
fopt: 0.7507904245102499
fun: -0.7515377128685835
message: 'Optimization terminated successfully.'
nfev: 622
nit: 6
status: 0
success: True
x: array([184.14204705, 3.05583939, 204.00105413])
xopt: array([184., 3., 204.])
zopt: array([184., 187., 391.])
*******************************************
Period: 43
direc: array([[ 5.08642338e-03, 2.43582632e-05, 2.30238305e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.14035764e-06, 2.85593401e-05, -1.73146068e-03]])
fopt: 0.38580930488854737
fun: -0.38544436524974196
message: 'Optimization terminated successfully.'
nfev: 356
nit: 3
status: 0
success: True
x: array([221.92502363, 2.04014229, 3.08015493])
xopt: array([221., 2., 4.])
zopt: array([221., 223., 227.])
*******************************************
Period: 44
direc: array([[0. , 0. , 1. ],
[0. , 1. , 0. ],
[4.20281801, 0.02294645, 0.04589291]])
fopt: 0.7286929278176072
fun: -0.7295080294637095
message: 'Optimization terminated successfully.'
nfev: 597
nit: 6
status: 0
success: True
x: array([188.43977342, 2.00365092, 207.02607456])
xopt: array([188., 2., 207.])
zopt: array([188., 190., 397.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpes1ux51j.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkgx_a6d5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.04321
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.04321
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx0ryrppb.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsraczsl9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29372
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.720981e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.7209814 2.72098 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.72098 1.29372
Optimal solution found (tolerance 1.00e-02)
Best objective 2.720981354061e+00, best bound 2.720981354061e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn0o5sd4s.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3u3rxu8m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57696
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.393808e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3938076 2.39381 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.39381 1.57696
Optimal solution found (tolerance 1.00e-02)
Best objective 2.393807550000e+00, best bound 2.393807550000e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuwpdah1v.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm98laizm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.53282
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.759702e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.75970 0 3 1.53282 2.75970 80.0% - 0s
H 0 0 2.2001531 2.75970 25.4% - 0s
0 0 2.24123 0 1 2.20015 2.24123 1.87% - 0s
0 0 cutoff 0 2.20015 2.20015 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (63 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.20015 1.53282
Optimal solution found (tolerance 1.00e-02)
Best objective 2.200153090552e+00, best bound 2.200153090552e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq_s9m_07.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu7wyhmre.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.56508
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 350 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.766609e+00, 64 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.76661 0 4 1.56508 2.76661 76.8% - 0s
H 0 0 2.1589140 2.76661 28.1% - 0s
0 0 2.22478 0 1 2.15891 2.22478 3.05% - 0s
0 0 2.22478 0 2 2.15891 2.22478 3.05% - 0s
0 0 2.18235 0 2 2.15891 2.18235 1.09% - 0s
0 0 2.18235 0 3 2.15891 2.18235 1.09% - 0s
0 0 2.18007 0 2 2.15891 2.18007 0.98% - 0s
Cutting planes:
Gomory: 1
MIR: 3
Flow cover: 3
Explored 1 nodes (100 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.15891 1.56508
Optimal solution found (tolerance 1.00e-02)
Best objective 2.158914024520e+00, best bound 2.180065914725e+00, gap 0.9797%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbq4dv3s4.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu4xzevcl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.65288
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 2.752126e+00, 87 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.75213 0 7 1.65288 2.75213 66.5% - 0s
H 0 0 1.9984283 2.75213 37.7% - 0s
H 0 0 2.1016321 2.75213 31.0% - 0s
0 0 2.20788 0 4 2.10163 2.20788 5.06% - 0s
0 0 2.12499 0 1 2.10163 2.12499 1.11% - 0s
H 0 0 2.1224887 2.12499 0.12% - 0s
Cutting planes:
Gomory: 3
Flow cover: 4
Explored 1 nodes (136 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 2.12249 2.10163 1.99843 1.65288
Optimal solution found (tolerance 1.00e-02)
Best objective 2.122488692530e+00, best bound 2.124988585062e+00, gap 0.1178%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp79yq8f65.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp22ohhox2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.69242
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.710041e+00, 109 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.71004 0 8 1.69242 2.71004 60.1% - 0s
H 0 0 2.0647340 2.71004 31.3% - 0s
0 0 2.40930 0 12 2.06473 2.40930 16.7% - 0s
0 0 2.40928 0 11 2.06473 2.40928 16.7% - 0s
0 0 2.14954 0 3 2.06473 2.14954 4.11% - 0s
0 0 2.08381 0 3 2.06473 2.08381 0.92% - 0s
Cutting planes:
Gomory: 4
Implied bound: 1
MIR: 2
Flow cover: 10
Explored 1 nodes (178 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.06473 1.69242
Optimal solution found (tolerance 1.00e-02)
Best objective 2.064734037492e+00, best bound 2.083805043609e+00, gap 0.9237%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj46xfece.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5i7imvwz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.72396
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.603502e+00, 133 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.60350 0 11 1.72396 2.60350 51.0% - 0s
H 0 0 1.9561924 2.60350 33.1% - 0s
0 0 2.25226 0 15 1.95619 2.25226 15.1% - 0s
0 0 2.25219 0 15 1.95619 2.25219 15.1% - 0s
0 0 2.03375 0 3 1.95619 2.03375 3.96% - 0s
0 0 1.97625 0 5 1.95619 1.97625 1.03% - 0s
H 0 0 1.9613565 1.97625 0.76% - 0s
Cutting planes:
Gomory: 5
Implied bound: 3
Flow cover: 11
Explored 1 nodes (225 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.96136 1.95619 1.72396
Optimal solution found (tolerance 1.00e-02)
Best objective 1.961356510544e+00, best bound 1.976253750111e+00, gap 0.7595%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_l237ki3.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz4qj37c8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.69878
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.397772e+00, 147 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.39777 0 15 1.69878 2.39777 41.1% - 0s
H 0 0 1.7876810 2.39777 34.1% - 0s
0 0 2.01951 0 19 1.78768 2.01951 13.0% - 0s
0 0 1.81408 0 6 1.78768 1.81408 1.48% - 0s
H 0 0 1.7928562 1.81408 1.18% - 0s
0 0 1.81208 0 10 1.79286 1.81208 1.07% - 0s
0 0 1.81208 0 10 1.79286 1.81208 1.07% - 0s
0 0 1.81208 0 5 1.79286 1.81208 1.07% - 0s
0 0 cutoff 0 1.79286 1.79286 0.00% - 0s
Cutting planes:
Gomory: 6
Explored 1 nodes (300 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.79286 1.78768 1.69878
Optimal solution found (tolerance 1.00e-02)
Best objective 1.792856235690e+00, best bound 1.792856235691e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprd9j_1ec.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx406fh6v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.55044
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 2.252297e+00, 179 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.25230 0 16 1.55044 2.25230 45.3% - 0s
0 0 1.85319 0 29 1.55044 1.85319 19.5% - 0s
0 0 1.71306 0 14 1.55044 1.71306 10.5% - 0s
0 0 1.71306 0 13 1.55044 1.71306 10.5% - 0s
0 0 1.71156 0 13 1.55044 1.71156 10.4% - 0s
0 0 1.71156 0 11 1.55044 1.71156 10.4% - 0s
H 0 0 1.6352417 1.71156 4.67% - 0s
0 0 1.71156 0 8 1.63524 1.71156 4.67% - 0s
0 0 1.68414 0 8 1.63524 1.68414 2.99% - 0s
0 0 1.64652 0 7 1.63524 1.64652 0.69% - 0s
Cutting planes:
Gomory: 11
Implied bound: 1
MIR: 5
Flow cover: 3
Explored 1 nodes (447 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.63524 1.55044
Optimal solution found (tolerance 1.00e-02)
Best objective 1.635241658768e+00, best bound 1.646524497679e+00, gap 0.6900%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbcseu03j.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmvzzissv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41571
Presolve removed 214 rows and 141 columns
Presolve time: 0.00s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 2.248608e+00, 201 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.24861 0 18 1.41571 2.24861 58.8% - 0s
H 0 0 1.5926799 2.24861 41.2% - 0s
0 0 1.81845 0 31 1.59268 1.81845 14.2% - 0s
0 0 1.81597 0 33 1.59268 1.81597 14.0% - 0s
0 0 1.81597 0 33 1.59268 1.81597 14.0% - 0s
0 0 1.81529 0 33 1.59268 1.81529 14.0% - 0s
0 0 1.81529 0 31 1.59268 1.81529 14.0% - 0s
0 2 1.81529 0 31 1.59268 1.81529 14.0% - 0s
* 100 17 24 1.6328808 1.67524 2.59% 3.5 0s
Cutting planes:
Gomory: 9
Implied bound: 6
Flow cover: 12
Inf proof: 2
Explored 186 nodes (1003 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.63288 1.59268 1.41571
Optimal solution found (tolerance 1.00e-02)
Best objective 1.632880789342e+00, best bound 1.643573439405e+00, gap 0.6548%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgyhy4m4_.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpia2uhb1g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.44578
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 2.211672e+00, 212 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.21167 0 23 1.44578 2.21167 53.0% - 0s
0 0 1.77149 0 39 1.44578 1.77149 22.5% - 0s
0 0 1.76982 0 40 1.44578 1.76982 22.4% - 0s
0 0 1.76982 0 34 1.44578 1.76982 22.4% - 0s
H 0 0 1.5294963 1.76982 15.7% - 0s
0 2 1.76982 0 34 1.52950 1.76982 15.7% - 0s
H 64 17 1.5800108 1.65384 4.67% 4.6 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 4
Flow cover: 9
Explored 199 nodes (1283 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.58001 1.5295 1.44578
Optimal solution found (tolerance 1.00e-02)
Best objective 1.580010768344e+00, best bound 1.594331758841e+00, gap 0.9064%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp83ai51ru.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpafwdch5d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.40942
Presolve removed 242 rows and 159 columns
Presolve time: 0.00s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 2.155584e+00, 253 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15558 0 25 1.40942 2.15558 52.9% - 0s
0 0 1.69546 0 28 1.40942 1.69546 20.3% - 0s
0 0 1.69544 0 28 1.40942 1.69544 20.3% - 0s
0 0 1.69122 0 27 1.40942 1.69122 20.0% - 0s
0 0 1.68969 0 28 1.40942 1.68969 19.9% - 0s
0 0 1.68968 0 28 1.40942 1.68968 19.9% - 0s
0 0 1.68961 0 28 1.40942 1.68961 19.9% - 0s
0 0 1.68961 0 28 1.40942 1.68961 19.9% - 0s
0 2 1.68961 0 28 1.40942 1.68961 19.9% - 0s
* 78 24 26 1.5342974 1.60088 4.34% 8.0 0s
Cutting planes:
Gomory: 13
Implied bound: 6
Flow cover: 19
Explored 138 nodes (1426 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.5343 1.40942
Optimal solution found (tolerance 1.00e-02)
Best objective 1.534297379124e+00, best bound 1.536024141678e+00, gap 0.1125%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprv81n8qb.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdl2h6xzl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37538
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 2.133098e+00, 280 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13310 0 27 1.37538 2.13310 55.1% - 0s
0 0 1.67563 0 29 1.37538 1.67563 21.8% - 0s
0 0 1.67497 0 37 1.37538 1.67497 21.8% - 0s
0 0 1.67497 0 31 1.37538 1.67497 21.8% - 0s
0 2 1.67497 0 31 1.37538 1.67497 21.8% - 0s
* 133 53 30 1.4646603 1.58870 8.47% 6.9 0s
* 217 43 28 1.4810874 1.55979 5.31% 6.2 0s
* 270 31 31 1.4857533 1.54918 4.27% 5.9 0s
* 317 25 32 1.5060295 1.54690 2.71% 5.6 0s
* 343 16 30 1.5100303 1.54684 2.44% 5.5 0s
* 390 15 29 1.5175183 1.53548 1.18% 5.4 0s
Cutting planes:
Gomory: 15
Cover: 2
Implied bound: 10
Flow cover: 12
Inf proof: 5
Explored 419 nodes (2735 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.51752 1.51003 1.50603 ... 1.37538
Optimal solution found (tolerance 1.00e-02)
Best objective 1.517518337560e+00, best bound 1.517518337560e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpljbf76iy.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfode02ub.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39672
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 2.021839e+00, 303 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02184 0 31 1.39672 2.02184 44.8% - 0s
0 0 1.57894 0 27 1.39672 1.57894 13.0% - 0s
0 0 1.57854 0 29 1.39672 1.57854 13.0% - 0s
0 0 1.57854 0 27 1.39672 1.57854 13.0% - 0s
0 2 1.57854 0 27 1.39672 1.57854 13.0% - 0s
* 189 70 37 1.4144804 1.47924 4.58% 5.0 0s
* 242 65 39 1.4267004 1.47924 3.68% 4.9 0s
* 475 84 36 1.4279862 1.45561 1.93% 5.2 0s
* 491 73 36 1.4316621 1.45561 1.67% 5.3 0s
Cutting planes:
Gomory: 16
Implied bound: 8
Flow cover: 12
Inf proof: 5
Explored 726 nodes (4343 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.43166 1.42799 1.4267 ... 1.39672
Optimal solution found (tolerance 1.00e-02)
Best objective 1.431662126622e+00, best bound 1.443279283336e+00, gap 0.8114%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoecwu_3c.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5ozzogas.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28958
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.980058e+00, 337 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98006 0 33 1.28958 1.98006 53.5% - 0s
0 0 1.54231 0 29 1.28958 1.54231 19.6% - 0s
0 0 1.54184 0 29 1.28958 1.54184 19.6% - 0s
0 0 1.54184 0 29 1.28958 1.54184 19.6% - 0s
0 2 1.54184 0 29 1.28958 1.54184 19.6% - 0s
* 626 144 41 1.2947538 1.43236 10.6% 6.4 0s
* 669 144 43 1.2957039 1.43236 10.5% 6.3 0s
* 1347 286 40 1.2964854 1.41323 9.00% 6.3 0s
* 1486 194 38 1.3746003 1.40969 2.55% 6.2 0s
* 1552 155 34 1.3771754 1.40949 2.35% 6.2 0s
* 1599 127 36 1.3841697 1.40700 1.65% 6.2 0s
Cutting planes:
Gomory: 18
Cover: 9
Implied bound: 20
Flow cover: 12
Inf proof: 20
Explored 1699 nodes (11195 simplex iterations) in 0.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.38417 1.37718 1.3746 ... 1.28958
Optimal solution found (tolerance 1.00e-02)
Best objective 1.384169661653e+00, best bound 1.397775517307e+00, gap 0.9830%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwmao5sl4.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsefgy5ns.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29562
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.861997e+00, 334 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86200 0 34 1.29562 1.86200 43.7% - 0s
0 0 1.44588 0 29 1.29562 1.44588 11.6% - 0s
0 0 1.44497 0 30 1.29562 1.44497 11.5% - 0s
0 0 1.44497 0 30 1.29562 1.44497 11.5% - 0s
0 2 1.44497 0 30 1.29562 1.44497 11.5% - 0s
Cutting planes:
Gomory: 18
Cover: 5
Implied bound: 14
Flow cover: 14
Inf proof: 17
Explored 906 nodes (6510 simplex iterations) in 0.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.29562
Optimal solution found (tolerance 1.00e-02)
Best objective 1.295615278647e+00, best bound 1.299052945728e+00, gap 0.2653%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprduia145.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd3t49__g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21799
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.766420e+00, 374 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76642 0 38 1.21799 1.76642 45.0% - 0s
0 0 1.36219 0 33 1.21799 1.36219 11.8% - 0s
0 0 1.36218 0 33 1.21799 1.36218 11.8% - 0s
0 0 1.35552 0 34 1.21799 1.35552 11.3% - 0s
0 0 1.35548 0 33 1.21799 1.35548 11.3% - 0s
0 0 1.35508 0 35 1.21799 1.35508 11.3% - 0s
0 0 1.35508 0 35 1.21799 1.35508 11.3% - 0s
0 2 1.35508 0 35 1.21799 1.35508 11.3% - 0s
Cutting planes:
Gomory: 22
Cover: 3
Implied bound: 16
MIR: 2
Flow cover: 25
Inf proof: 19
Explored 1458 nodes (9675 simplex iterations) in 0.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.21799
Optimal solution found (tolerance 1.00e-02)
Best objective 1.217994801176e+00, best bound 1.227391127030e+00, gap 0.7715%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbslrbxi_.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz04essdb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14119
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.741671e+00, 398 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74167 0 45 1.14119 1.74167 52.6% - 0s
0 0 1.32910 0 36 1.14119 1.32910 16.5% - 0s
0 0 1.32877 0 40 1.14119 1.32877 16.4% - 0s
0 0 1.32877 0 40 1.14119 1.32877 16.4% - 0s
0 2 1.32877 0 40 1.14119 1.32877 16.4% - 0s
* 2830 345 55 1.1876229 1.22159 2.86% 7.9 2s
* 3391 88 52 1.1911542 1.20690 1.32% 8.0 2s
Cutting planes:
Gomory: 49
Cover: 5
Implied bound: 5
Projected implied bound: 13
Clique: 1
MIR: 5
Flow cover: 31
Inf proof: 26
Explored 3506 nodes (28466 simplex iterations) in 2.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.19115 1.18762 1.14119
Optimal solution found (tolerance 1.00e-02)
Best objective 1.191154178977e+00, best bound 1.202738395650e+00, gap 0.9725%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7vuxiqeb.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4b0wxlmt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09312
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.708000e+00, 436 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70800 0 50 1.09312 1.70800 56.2% - 0s
0 0 1.31238 0 45 1.09312 1.31238 20.1% - 0s
0 0 1.31235 0 45 1.09312 1.31235 20.1% - 0s
0 0 1.30895 0 46 1.09312 1.30895 19.7% - 0s
0 0 1.30893 0 46 1.09312 1.30893 19.7% - 0s
0 0 1.30713 0 47 1.09312 1.30713 19.6% - 0s
0 0 1.30713 0 47 1.09312 1.30713 19.6% - 0s
0 2 1.30713 0 47 1.09312 1.30713 19.6% - 0s
* 1335 409 79 1.1021083 1.21911 10.6% 9.1 1s
* 3011 242 67 1.1386816 1.17143 2.88% 10.1 2s
* 3151 216 68 1.1438156 1.17010 2.30% 10.1 3s
* 3525 181 65 1.1442980 1.16466 1.78% 10.1 3s
* 3593 184 65 1.1451792 1.16414 1.66% 10.0 3s
* 3820 145 70 1.1460186 1.16370 1.54% 9.9 3s
* 3946 67 65 1.1524982 1.16370 0.97% 9.8 3s
Cutting planes:
Gomory: 48
Cover: 1
Implied bound: 13
Projected implied bound: 14
MIR: 5
Flow cover: 39
Inf proof: 28
Explored 4123 nodes (40559 simplex iterations) in 3.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.1525 1.14602 1.14518 ... 1.09312
Optimal solution found (tolerance 1.00e-02)
Best objective 1.152498228224e+00, best bound 1.157600588476e+00, gap 0.4427%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjmxqyefp.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpapdycgnr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06541
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.676625e+00, 506 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67662 0 53 1.06541 1.67662 57.4% - 0s
0 0 1.29186 0 44 1.06541 1.29186 21.3% - 0s
0 0 1.29129 0 50 1.06541 1.29129 21.2% - 0s
0 0 1.29129 0 48 1.06541 1.29129 21.2% - 0s
0 2 1.29129 0 48 1.06541 1.29129 21.2% - 0s
H 5600 963 1.0677651 1.13122 5.94% 12.5 4s
* 5701 423 83 1.1082388 1.13056 2.01% 12.4 4s
* 6381 357 70 1.1124496 1.12744 1.35% 12.0 4s
6499 307 infeasible 46 1.11245 1.12463 1.09% 11.9 5s
* 6611 294 67 1.1131713 1.12438 1.01% 11.9 5s
Cutting planes:
Gomory: 56
Cover: 2
Implied bound: 9
Projected implied bound: 14
MIR: 4
Flow cover: 28
Inf proof: 33
Explored 6807 nodes (80816 simplex iterations) in 5.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.11317 1.11245 1.10824 ... 1.06541
Optimal solution found (tolerance 1.00e-02)
Best objective 1.113171335602e+00, best bound 1.123005982842e+00, gap 0.8835%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplggqht8u.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp962b90oh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08399
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.597210e+00, 509 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59721 0 56 1.08399 1.59721 47.3% - 0s
0 0 1.27185 0 52 1.08399 1.27185 17.3% - 0s
0 0 1.27121 0 55 1.08399 1.27121 17.3% - 0s
0 0 1.27121 0 51 1.08399 1.27121 17.3% - 0s
0 2 1.27121 0 51 1.08399 1.27121 17.3% - 0s
Cutting planes:
Learned: 2
Gomory: 61
Cover: 4
Implied bound: 11
Projected implied bound: 13
Clique: 2
MIR: 10
Flow cover: 31
Inf proof: 17
Explored 3664 nodes (40859 simplex iterations) in 3.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.08399
Optimal solution found (tolerance 1.00e-02)
Best objective 1.083994770419e+00, best bound 1.094338593443e+00, gap 0.9542%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvynmrk79.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpas2y04y9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05392
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.526614e+00, 552 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52661 0 57 1.05392 1.52661 44.9% - 0s
0 0 1.29910 0 53 1.05392 1.29910 23.3% - 0s
0 0 1.29908 0 53 1.05392 1.29908 23.3% - 0s
0 0 1.26124 0 60 1.05392 1.26124 19.7% - 0s
0 0 1.23820 0 62 1.05392 1.23820 17.5% - 0s
0 0 1.23274 0 51 1.05392 1.23274 17.0% - 0s
0 0 1.23244 0 54 1.05392 1.23244 16.9% - 0s
0 0 1.23209 0 56 1.05392 1.23209 16.9% - 0s
0 0 1.23209 0 57 1.05392 1.23209 16.9% - 0s
0 0 1.23200 0 56 1.05392 1.23200 16.9% - 0s
0 0 1.23200 0 55 1.05392 1.23200 16.9% - 0s
0 2 1.23200 0 55 1.05392 1.23200 16.9% - 0s
* 2899 367 81 1.0552045 1.07001 1.40% 9.2 2s
Cutting planes:
Gomory: 57
Cover: 3
Implied bound: 4
Projected implied bound: 20
MIR: 5
Flow cover: 19
Inf proof: 13
Explored 3557 nodes (33048 simplex iterations) in 3.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0552 1.05392
Optimal solution found (tolerance 1.00e-02)
Best objective 1.055204463699e+00, best bound 1.064872784235e+00, gap 0.9163%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdqvmd971.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvayotggz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04461
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.487260e+00, 562 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48726 0 57 1.04461 1.48726 42.4% - 0s
0 0 1.27682 0 64 1.04461 1.27682 22.2% - 0s
0 0 1.24910 0 65 1.04461 1.24910 19.6% - 0s
0 0 1.22281 0 63 1.04461 1.22281 17.1% - 0s
0 0 1.21743 0 60 1.04461 1.21743 16.5% - 0s
0 0 1.21743 0 60 1.04461 1.21743 16.5% - 0s
0 0 1.21720 0 62 1.04461 1.21720 16.5% - 0s
0 0 1.21708 0 63 1.04461 1.21708 16.5% - 0s
0 0 1.21676 0 63 1.04461 1.21676 16.5% - 0s
0 0 1.21676 0 61 1.04461 1.21676 16.5% - 0s
0 2 1.21676 0 61 1.04461 1.21676 16.5% - 0s
* 2237 454 79 1.0455621 1.07786 3.09% 8.8 2s
Cutting planes:
Gomory: 49
Cover: 2
Implied bound: 6
Projected implied bound: 21
MIR: 4
Flow cover: 15
Inf proof: 29
Explored 6256 nodes (51686 simplex iterations) in 4.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.04556 1.04461
Optimal solution found (tolerance 1.00e-02)
Best objective 1.045562094803e+00, best bound 1.056001084549e+00, gap 0.9984%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplu2wbb44.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprbu2xhxq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01456
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.425868e+00, 579 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42587 0 58 1.01456 1.42587 40.5% - 0s
0 0 1.24095 0 58 1.01456 1.24095 22.3% - 0s
0 0 1.19907 0 62 1.01456 1.19907 18.2% - 0s
0 0 1.19171 0 59 1.01456 1.19171 17.5% - 0s
0 0 1.19043 0 60 1.01456 1.19043 17.3% - 0s
0 0 1.19006 0 57 1.01456 1.19006 17.3% - 0s
0 0 1.19002 0 58 1.01456 1.19002 17.3% - 0s
0 0 1.18980 0 62 1.01456 1.18980 17.3% - 0s
0 0 1.18980 0 60 1.01456 1.18980 17.3% - 0s
0 2 1.18980 0 60 1.01456 1.18980 17.3% - 0s
Cutting planes:
Gomory: 56
Cover: 5
Implied bound: 14
Projected implied bound: 16
MIR: 8
Flow cover: 25
Inf proof: 22
Explored 6291 nodes (55784 simplex iterations) in 4.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.01456
Optimal solution found (tolerance 1.00e-02)
Best objective 1.014555732709e+00, best bound 1.024090695375e+00, gap 0.9398%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj_q7z7_z.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdrp4gasm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.990191
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.375358e+00, 617 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37536 0 61 0.99019 1.37536 38.9% - 0s
0 0 1.19481 0 69 0.99019 1.19481 20.7% - 0s
0 0 1.19480 0 69 0.99019 1.19480 20.7% - 0s
0 0 1.16130 0 64 0.99019 1.16130 17.3% - 0s
0 0 1.15440 0 62 0.99019 1.15440 16.6% - 0s
0 0 1.15156 0 64 0.99019 1.15156 16.3% - 0s
0 0 1.15151 0 67 0.99019 1.15151 16.3% - 0s
0 0 1.15139 0 65 0.99019 1.15139 16.3% - 0s
0 0 1.15139 0 64 0.99019 1.15139 16.3% - 0s
0 0 1.15139 0 65 0.99019 1.15139 16.3% - 0s
0 0 1.15139 0 62 0.99019 1.15139 16.3% - 0s
0 2 1.15139 0 62 0.99019 1.15139 16.3% - 0s
Cutting planes:
Learned: 1
Gomory: 50
Cover: 4
Implied bound: 8
Projected implied bound: 21
MIR: 5
Flow cover: 26
Inf proof: 27
Explored 5678 nodes (50669 simplex iterations) in 4.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.990191
Optimal solution found (tolerance 1.00e-02)
Best objective 9.901911117909e-01, best bound 9.995732920777e-01, gap 0.9475%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpma5nsk9v.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmproefqj6f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.991415
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.354304e+00, 614 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35430 0 62 0.99141 1.35430 36.6% - 0s
0 0 1.18059 0 66 0.99141 1.18059 19.1% - 0s
0 0 1.16393 0 78 0.99141 1.16393 17.4% - 0s
0 0 1.16356 0 79 0.99141 1.16356 17.4% - 0s
0 0 1.16319 0 80 0.99141 1.16319 17.3% - 0s
0 0 1.16279 0 81 0.99141 1.16279 17.3% - 0s
0 0 1.16249 0 83 0.99141 1.16249 17.3% - 0s
0 0 1.15782 0 81 0.99141 1.15782 16.8% - 0s
0 0 1.15778 0 83 0.99141 1.15778 16.8% - 0s
0 0 1.15620 0 71 0.99141 1.15620 16.6% - 0s
0 0 1.15315 0 79 0.99141 1.15315 16.3% - 0s
0 0 1.15315 0 79 0.99141 1.15315 16.3% - 0s
0 0 1.15311 0 77 0.99141 1.15311 16.3% - 0s
0 0 1.15311 0 79 0.99141 1.15311 16.3% - 0s
0 0 1.15308 0 82 0.99141 1.15308 16.3% - 0s
0 0 1.15308 0 72 0.99141 1.15308 16.3% - 0s
0 2 1.15308 0 72 0.99141 1.15308 16.3% - 0s
5481 776 infeasible 45 0.99141 1.01714 2.59% 11.0 5s
* 6616 998 92 0.9929279 1.01061 1.78% 10.4 6s
Cutting planes:
Learned: 2
Gomory: 59
Cover: 1
Implied bound: 11
Projected implied bound: 32
Clique: 2
MIR: 8
Flow cover: 35
Inf proof: 65
Explored 9217 nodes (91270 simplex iterations) in 7.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.992928 0.991415
Optimal solution found (tolerance 1.00e-02)
Best objective 9.929278661357e-01, best bound 1.002220837737e+00, gap 0.9359%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnuxm28qf.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkslwc28l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.975145
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.316734e+00, 685 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31673 0 65 0.97514 1.31673 35.0% - 0s
0 0 1.16616 0 78 0.97514 1.16616 19.6% - 0s
0 0 1.16614 0 78 0.97514 1.16614 19.6% - 0s
0 0 1.15836 0 81 0.97514 1.15836 18.8% - 0s
0 0 1.15819 0 87 0.97514 1.15819 18.8% - 0s
0 0 1.15749 0 94 0.97514 1.15749 18.7% - 0s
0 0 1.15749 0 83 0.97514 1.15749 18.7% - 0s
0 2 1.15749 0 83 0.97514 1.15749 18.7% - 0s
5289 940 0.99391 39 45 0.97514 1.01363 3.95% 11.6 5s
11960 1633 cutoff 65 0.97514 0.98879 1.40% 11.2 10s
Cutting planes:
Gomory: 68
Cover: 4
Implied bound: 11
Projected implied bound: 24
MIR: 8
Flow cover: 26
Inf proof: 65
Explored 15956 nodes (173025 simplex iterations) in 13.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.975145
Optimal solution found (tolerance 1.00e-02)
Best objective 9.751446367279e-01, best bound 9.847657413398e-01, gap 0.9866%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9xplohi4.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphok49ihg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.974941
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.306640e+00, 711 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30664 0 68 0.97494 1.30664 34.0% - 0s
0 0 1.17610 0 74 0.97494 1.17610 20.6% - 0s
0 0 1.17571 0 76 0.97494 1.17571 20.6% - 0s
0 0 1.16532 0 83 0.97494 1.16532 19.5% - 0s
0 0 1.16172 0 79 0.97494 1.16172 19.2% - 0s
0 0 1.16144 0 84 0.97494 1.16144 19.1% - 0s
0 0 1.16136 0 82 0.97494 1.16136 19.1% - 0s
0 0 1.16119 0 82 0.97494 1.16119 19.1% - 0s
0 0 1.16119 0 77 0.97494 1.16119 19.1% - 0s
0 2 1.16119 0 77 0.97494 1.16119 19.1% - 0s
5000 880 1.00755 42 62 0.97494 1.01719 4.33% 11.4 5s
* 8548 996 117 0.9755604 0.99003 1.48% 11.1 7s
Cutting planes:
Gomory: 67
Cover: 3
Implied bound: 11
Projected implied bound: 28
MIR: 5
Flow cover: 35
Inf proof: 54
Explored 11609 nodes (118399 simplex iterations) in 9.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.97556 0.974941
Optimal solution found (tolerance 1.00e-02)
Best objective 9.755603657261e-01, best bound 9.849474722495e-01, gap 0.9622%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprvp5fxe6.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo49cd9y6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.973318
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.288158e+00, 695 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28816 0 71 0.97332 1.28816 32.3% - 0s
0 0 1.18182 0 80 0.97332 1.18182 21.4% - 0s
0 0 1.17336 0 87 0.97332 1.17336 20.6% - 0s
0 0 1.17309 0 88 0.97332 1.17309 20.5% - 0s
0 0 1.16955 0 85 0.97332 1.16955 20.2% - 0s
0 0 1.16944 0 86 0.97332 1.16944 20.2% - 0s
0 0 1.16944 0 85 0.97332 1.16944 20.2% - 0s
0 0 1.16944 0 83 0.97332 1.16944 20.2% - 0s
0 2 1.16944 0 82 0.97332 1.16944 20.2% - 0s
4149 969 1.01659 29 60 0.97332 1.03135 5.96% 12.7 5s
9339 1052 cutoff 55 0.97332 0.99561 2.29% 12.9 10s
*11792 1008 108 0.9742414 0.98600 1.21% 12.2 12s
Cutting planes:
Gomory: 66
Cover: 5
Implied bound: 13
Projected implied bound: 14
MIR: 10
Flow cover: 34
Inf proof: 79
Explored 13023 nodes (155582 simplex iterations) in 13.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.974241 0.973318
Optimal solution found (tolerance 1.00e-02)
Best objective 9.742413712131e-01, best bound 9.836396031221e-01, gap 0.9647%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpogf612uf.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpijr1vzjk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.969647
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.273494e+00, 770 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27349 0 74 0.96965 1.27349 31.3% - 0s
0 0 1.16566 0 79 0.96965 1.16566 20.2% - 0s
0 0 1.16133 0 85 0.96965 1.16133 19.8% - 0s
0 0 1.16130 0 84 0.96965 1.16130 19.8% - 0s
0 0 1.16105 0 87 0.96965 1.16105 19.7% - 0s
0 0 1.16094 0 88 0.96965 1.16094 19.7% - 0s
0 0 1.16094 0 89 0.96965 1.16094 19.7% - 0s
0 0 1.16094 0 83 0.96965 1.16094 19.7% - 0s
0 2 1.16094 0 83 0.96965 1.16094 19.7% - 0s
4010 637 0.99208 33 59 0.96965 1.01552 4.73% 13.2 5s
10170 990 0.97567 69 38 0.96965 0.97959 1.03% 11.6 10s
Cutting planes:
Gomory: 69
Cover: 4
Implied bound: 20
Projected implied bound: 29
MIR: 9
Flow cover: 34
Inf proof: 47
Explored 10566 nodes (122990 simplex iterations) in 10.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.969647
Optimal solution found (tolerance 1.00e-02)
Best objective 9.696468376713e-01, best bound 9.786990889530e-01, gap 0.9336%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3omshb7n.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfd7cmfh9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.965198
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.252329e+00, 740 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25233 0 76 0.96520 1.25233 29.7% - 0s
0 0 1.15762 0 91 0.96520 1.15762 19.9% - 0s
0 0 1.15762 0 91 0.96520 1.15762 19.9% - 0s
0 0 1.15274 0 87 0.96520 1.15274 19.4% - 0s
0 0 1.15270 0 86 0.96520 1.15270 19.4% - 0s
0 0 1.15226 0 89 0.96520 1.15226 19.4% - 0s
0 0 1.15225 0 87 0.96520 1.15225 19.4% - 0s
0 0 1.15219 0 88 0.96520 1.15219 19.4% - 0s
0 0 1.15219 0 80 0.96520 1.15219 19.4% - 0s
0 2 1.15219 0 79 0.96520 1.15219 19.4% - 0s
3113 493 cutoff 36 0.96520 1.01800 5.47% 16.6 5s
8877 1024 0.97018 75 41 0.96520 0.97537 1.05% 13.5 10s
H 8878 1010 0.9655762 0.97537 1.01% 13.5 10s
Cutting planes:
Gomory: 70
Cover: 3
Implied bound: 15
Projected implied bound: 31
Clique: 1
MIR: 8
Flow cover: 43
Inf proof: 54
Explored 8983 nodes (122198 simplex iterations) in 10.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.965576 0.965198
Optimal solution found (tolerance 1.00e-02)
Best objective 9.655762409307e-01, best bound 9.749167971780e-01, gap 0.9674%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvccwieg7.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8nf781vq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939522
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.213921e+00, 803 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21392 0 75 0.93952 1.21392 29.2% - 0s
0 0 1.12910 0 87 0.93952 1.12910 20.2% - 0s
0 0 1.12910 0 87 0.93952 1.12910 20.2% - 0s
0 0 1.12267 0 87 0.93952 1.12267 19.5% - 0s
0 0 1.12236 0 88 0.93952 1.12236 19.5% - 0s
0 0 1.12226 0 89 0.93952 1.12226 19.5% - 0s
0 0 1.12226 0 88 0.93952 1.12226 19.5% - 0s
0 0 1.12226 0 93 0.93952 1.12226 19.5% - 0s
0 0 1.12226 0 85 0.93952 1.12226 19.5% - 0s
0 2 1.12226 0 83 0.93952 1.12226 19.5% - 0s
2685 863 cutoff 34 0.93952 1.01958 8.52% 14.3 5s
6273 1383 0.95250 41 70 0.93952 0.99197 5.58% 16.2 10s
H 7173 1411 0.9395217 0.98728 5.08% 17.0 11s
8991 1182 0.96371 43 74 0.93952 0.97507 3.78% 18.2 15s
12855 985 infeasible 38 0.93952 0.95168 1.29% 17.6 20s
Cutting planes:
Gomory: 84
Cover: 2
Implied bound: 22
Projected implied bound: 33
MIR: 15
Flow cover: 47
Inf proof: 68
Explored 13973 nodes (239880 simplex iterations) in 20.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.939522 0.939522
Optimal solution found (tolerance 1.00e-02)
Best objective 9.395216749700e-01, best bound 9.488398327362e-01, gap 0.9918%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1nynq7yi.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcd0jnjzl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929753
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.191900e+00, 861 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19190 0 81 0.92975 1.19190 28.2% - 0s
0 0 1.14834 0 86 0.92975 1.14834 23.5% - 0s
0 0 1.13591 0 97 0.92975 1.13591 22.2% - 0s
0 0 1.13588 0 99 0.92975 1.13588 22.2% - 0s
0 0 1.13539 0 101 0.92975 1.13539 22.1% - 0s
0 0 1.13535 0 101 0.92975 1.13535 22.1% - 0s
0 0 1.13519 0 101 0.92975 1.13519 22.1% - 0s
0 0 1.13513 0 101 0.92975 1.13513 22.1% - 0s
0 0 1.13505 0 101 0.92975 1.13505 22.1% - 0s
0 0 1.13505 0 96 0.92975 1.13505 22.1% - 0s
0 2 1.13505 0 96 0.92975 1.13505 22.1% - 0s
2611 466 0.95169 30 83 0.92975 0.98658 6.11% 16.1 5s
7482 888 0.93958 72 53 0.92975 0.94247 1.37% 14.3 10s
Cutting planes:
Gomory: 80
Cover: 5
Implied bound: 10
Projected implied bound: 34
MIR: 14
Flow cover: 56
Inf proof: 54
Explored 9375 nodes (124698 simplex iterations) in 11.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.929753
Optimal solution found (tolerance 1.00e-02)
Best objective 9.297532087802e-01, best bound 9.387262298321e-01, gap 0.9651%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo5o7tlmg.pyomo.lp
Reading time = 0.00 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_huuisqi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.919678
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.183751e+00, 811 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18375 0 82 0.91968 1.18375 28.7% - 0s
0 0 1.14240 0 88 0.91968 1.14240 24.2% - 0s
0 0 1.13350 0 88 0.91968 1.13350 23.2% - 0s
0 0 1.13347 0 87 0.91968 1.13347 23.2% - 0s
0 0 1.13312 0 93 0.91968 1.13312 23.2% - 0s
0 0 1.13304 0 94 0.91968 1.13304 23.2% - 0s
0 0 1.13291 0 94 0.91968 1.13291 23.2% - 0s
0 0 1.13286 0 94 0.91968 1.13286 23.2% - 0s
0 0 1.13284 0 96 0.91968 1.13284 23.2% - 0s
0 0 1.13284 0 95 0.91968 1.13284 23.2% - 0s
0 2 1.13284 0 92 0.91968 1.13284 23.2% - 0s
* 577 391 153 0.9219784 1.06618 15.6% 9.6 0s
2787 568 0.94509 41 74 0.92198 0.97755 6.03% 12.8 5s
7483 857 0.93384 38 91 0.92198 0.95189 3.24% 15.5 10s
H 8614 895 0.9228660 0.94573 2.48% 15.5 11s
*12582 1725 122 0.9232335 0.93711 1.50% 14.1 14s
13001 1841 0.93109 70 44 0.92323 0.93691 1.48% 13.9 15s
Cutting planes:
Gomory: 84
Cover: 2
Implied bound: 16
Projected implied bound: 32
MIR: 12
Flow cover: 54
Inf proof: 80
Explored 17753 nodes (232525 simplex iterations) in 20.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.923234 0.922866 0.921978 0.919678
Optimal solution found (tolerance 1.00e-02)
Best objective 9.232335192645e-01, best bound 9.324229567419e-01, gap 0.9954%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpku5fpfw0.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4rt4bvwu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910121
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.168310e+00, 884 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16831 0 83 0.91012 1.16831 28.4% - 0s
0 0 1.12817 0 89 0.91012 1.12817 24.0% - 0s
0 0 1.11928 0 95 0.91012 1.11928 23.0% - 0s
0 0 1.11920 0 94 0.91012 1.11920 23.0% - 0s
0 0 1.11905 0 96 0.91012 1.11905 23.0% - 0s
0 0 1.11902 0 97 0.91012 1.11902 23.0% - 0s
0 0 1.11902 0 99 0.91012 1.11902 23.0% - 0s
0 0 1.11897 0 99 0.91012 1.11897 22.9% - 0s
0 0 1.11896 0 99 0.91012 1.11896 22.9% - 0s
0 0 1.11896 0 96 0.91012 1.11896 22.9% - 0s
0 2 1.11896 0 96 0.91012 1.11896 22.9% - 0s
2685 693 0.93616 36 79 0.91012 0.98339 8.05% 16.1 5s
H 6476 1143 0.9107294 0.94882 4.18% 17.1 9s
H 6548 1128 0.9113135 0.94873 4.11% 17.3 10s
* 6722 1131 141 0.9117139 0.94822 4.00% 17.2 10s
H 9328 1232 0.9119629 0.93608 2.64% 17.7 13s
10269 1192 0.91887 43 76 0.91196 0.93253 2.25% 17.6 15s
14296 2232 0.91861 72 63 0.91196 0.92803 1.76% 16.0 20s
19390 3405 infeasible 66 0.91196 0.92572 1.51% 15.0 25s
23377 3956 0.92016 66 55 0.91196 0.92447 1.37% 14.7 30s
28281 4185 0.91901 75 49 0.91196 0.92172 1.07% 14.4 35s
Cutting planes:
Gomory: 99
Cover: 5
Implied bound: 27
Projected implied bound: 32
Clique: 1
MIR: 14
Flow cover: 40
Inf proof: 113
Explored 29890 nodes (430133 simplex iterations) in 36.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.911963 0.911714 0.911313 ... 0.910121
Optimal solution found (tolerance 1.00e-02)
Best objective 9.119628726414e-01, best bound 9.210106009681e-01, gap 0.9921%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps_n3lmdg.pyomo.lp
Reading time = 0.00 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf8z72o0w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.908608
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.163268e+00, 839 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16327 0 84 0.90861 1.16327 28.0% - 0s
0 0 1.12426 0 83 0.90861 1.12426 23.7% - 0s
0 0 1.11575 0 92 0.90861 1.11575 22.8% - 0s
0 0 1.11573 0 91 0.90861 1.11573 22.8% - 0s
0 0 1.11525 0 96 0.90861 1.11525 22.7% - 0s
0 0 1.11522 0 97 0.90861 1.11522 22.7% - 0s
0 0 1.11508 0 99 0.90861 1.11508 22.7% - 0s
0 0 1.11503 0 100 0.90861 1.11503 22.7% - 0s
0 0 1.11496 0 99 0.90861 1.11496 22.7% - 0s
0 0 1.11496 0 94 0.90861 1.11496 22.7% - 0s
0 2 1.11496 0 94 0.90861 1.11496 22.7% - 0s
2413 678 0.96957 26 96 0.90861 0.98318 8.21% 15.6 5s
5596 899 0.93016 35 81 0.90861 0.95327 4.92% 18.4 10s
9037 965 0.92624 67 55 0.90861 0.93573 2.99% 18.5 15s
H13234 2031 0.9086079 0.92536 1.84% 16.2 20s
19249 3937 0.92055 86 52 0.90861 0.92269 1.55% 13.9 25s
23066 4555 cutoff 78 0.90861 0.92150 1.42% 13.5 30s
27870 4856 cutoff 78 0.90861 0.91977 1.23% 13.4 35s
32423 5153 cutoff 34 0.90861 0.91842 1.08% 13.3 40s
Cutting planes:
Gomory: 86
Cover: 2
Implied bound: 46
Projected implied bound: 33
Clique: 1
MIR: 10
Flow cover: 50
Inf proof: 157
Explored 35343 nodes (469642 simplex iterations) in 42.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.908608 0.908608
Optimal solution found (tolerance 1.00e-02)
Best objective 9.086079351840e-01, best bound 9.176927116208e-01, gap 0.9999%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmrthis7w.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpchbtf_dh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.902232
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.156364e+00, 910 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15636 0 89 0.90223 1.15636 28.2% - 0s
0 0 1.11869 0 93 0.90223 1.11869 24.0% - 0s
0 0 1.11049 0 98 0.90223 1.11049 23.1% - 0s
0 0 1.11047 0 97 0.90223 1.11047 23.1% - 0s
0 0 1.10992 0 103 0.90223 1.10992 23.0% - 0s
0 0 1.10984 0 103 0.90223 1.10984 23.0% - 0s
0 0 1.10970 0 104 0.90223 1.10970 23.0% - 0s
0 0 1.10965 0 105 0.90223 1.10965 23.0% - 0s
0 0 1.10965 0 107 0.90223 1.10965 23.0% - 0s
0 0 1.10965 0 107 0.90223 1.10965 23.0% - 0s
0 0 1.10965 0 107 0.90223 1.10965 23.0% - 0s
0 0 1.10965 0 100 0.90223 1.10965 23.0% - 0s
0 2 1.10965 0 100 0.90223 1.10965 23.0% - 0s
1993 762 0.94619 32 107 0.90223 0.98923 9.64% 18.3 5s
4669 1573 0.92999 40 94 0.90223 0.96987 7.50% 21.2 10s
H 7347 2119 0.9028583 0.95668 5.96% 21.8 15s
H 7350 2119 0.9028583 0.95668 5.96% 21.8 15s
9866 2473 infeasible 34 0.90286 0.94799 5.00% 21.9 20s
13070 2676 0.90557 37 96 0.90286 0.93964 4.07% 22.6 25s
15376 2571 cutoff 50 0.90286 0.93420 3.47% 23.4 30s
18302 2828 0.92412 44 90 0.90286 0.92983 2.99% 23.4 35s
20517 3190 cutoff 56 0.90286 0.92713 2.69% 23.1 49s
20541 3121 cutoff 37 0.90286 0.92703 2.68% 23.1 50s
23539 3497 cutoff 39 0.90286 0.92355 2.29% 23.5 55s
26276 3613 0.91350 72 71 0.90286 0.92029 1.93% 23.8 60s
29553 4215 infeasible 45 0.90286 0.91817 1.70% 23.0 65s
33412 4853 cutoff 76 0.90286 0.91639 1.50% 22.2 70s
37108 5340 0.91429 82 62 0.90286 0.91482 1.32% 21.4 75s
41128 5666 cutoff 63 0.90286 0.91334 1.16% 20.8 80s
44652 5787 0.90764 71 71 0.90286 0.91207 1.02% 20.2 85s
Cutting planes:
Learned: 1
Gomory: 127
Cover: 7
Implied bound: 35
Projected implied bound: 36
Clique: 1
MIR: 28
Flow cover: 112
Inf proof: 170
Explored 45408 nodes (914680 simplex iterations) in 85.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.902858 0.902858 0.902232
Optimal solution found (tolerance 1.00e-02)
Best objective 9.028582961934e-01, best bound 9.118086156704e-01, gap 0.9913%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbyl7nddw.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwixzr354.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.893398
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.144148e+00, 886 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14415 0 97 0.89340 1.14415 28.1% - 0s
0 0 1.11015 0 108 0.89340 1.11015 24.3% - 0s
0 0 1.11015 0 106 0.89340 1.11015 24.3% - 0s
0 0 1.10032 0 107 0.89340 1.10032 23.2% - 0s
0 0 1.10031 0 107 0.89340 1.10031 23.2% - 0s
0 0 1.10004 0 108 0.89340 1.10004 23.1% - 0s
0 0 1.10004 0 108 0.89340 1.10004 23.1% - 0s
0 0 1.09993 0 114 0.89340 1.09993 23.1% - 0s
0 0 1.09992 0 114 0.89340 1.09992 23.1% - 0s
0 0 1.09992 0 114 0.89340 1.09992 23.1% - 0s
0 0 1.09992 0 105 0.89340 1.09992 23.1% - 0s
0 2 1.09992 0 105 0.89340 1.09992 23.1% - 0s
* 1730 689 161 0.8934527 0.98025 9.71% 19.2 4s
1957 681 0.90441 36 95 0.89345 0.97534 9.17% 19.1 5s
4332 1258 0.90967 39 82 0.89345 0.95768 7.19% 23.4 10s
6816 1620 0.93081 36 92 0.89345 0.94626 5.91% 25.8 15s
H 7558 1681 0.8934527 0.94448 5.71% 26.4 17s
9092 1723 0.89609 50 73 0.89345 0.93925 5.13% 26.9 20s
H 9458 1794 0.8934527 0.93871 5.07% 26.9 21s
11102 1802 cutoff 41 0.89345 0.93337 4.47% 27.2 25s
14205 2093 0.91672 58 78 0.89345 0.92529 3.56% 26.9 30s
17618 2493 0.91931 53 72 0.89345 0.91931 2.89% 25.9 35s
H18193 2545 0.8935462 0.91893 2.84% 25.7 37s
19975 2723 0.91229 69 70 0.89355 0.91685 2.61% 25.0 40s
21500 2913 0.91309 66 71 0.89355 0.91533 2.44% 24.5 52s
22930 3231 cutoff 37 0.89355 0.91439 2.33% 24.2 55s
27024 4060 0.90982 68 78 0.89355 0.91189 2.05% 23.5 60s
30787 4650 0.89459 81 61 0.89355 0.91013 1.86% 22.9 65s
H31243 4749 0.8935462 0.90999 1.84% 22.9 66s
H31247 4749 0.8935462 0.90999 1.84% 22.9 66s
33948 4932 0.89632 88 58 0.89355 0.90899 1.73% 22.5 70s
37648 5107 cutoff 106 0.89355 0.90751 1.56% 22.3 75s
41668 5358 0.90261 71 58 0.89355 0.90615 1.41% 21.9 80s
45534 5761 0.90399 77 80 0.89355 0.90496 1.28% 21.4 85s
49897 6130 infeasible 87 0.89355 0.90369 1.13% 20.8 90s
54229 6475 0.90197 80 58 0.89355 0.90260 1.01% 20.3 95s
Cutting planes:
Learned: 1
Gomory: 128
Cover: 3
Implied bound: 49
Projected implied bound: 28
MIR: 19
Flow cover: 118
Inf proof: 235
Explored 54611 nodes (1108411 simplex iterations) in 95.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.893546 0.893546 0.893546 ... 0.893398
Optimal solution found (tolerance 1.00e-02)
Best objective 8.935462255009e-01, best bound 9.024730244553e-01, gap 0.9990%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2o2jbum0.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvxujwa99.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887288
Presolve removed 620 rows and 402 columns
Presolve time: 0.02s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.134609e+00, 971 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13461 0 100 0.88729 1.13461 27.9% - 0s
0 0 1.09987 0 106 0.88729 1.09987 24.0% - 0s
0 0 1.09370 0 105 0.88729 1.09370 23.3% - 0s
0 0 1.09368 0 103 0.88729 1.09368 23.3% - 0s
0 0 1.09304 0 108 0.88729 1.09304 23.2% - 0s
0 0 1.09301 0 109 0.88729 1.09301 23.2% - 0s
0 0 1.09283 0 108 0.88729 1.09283 23.2% - 0s
0 0 1.09279 0 110 0.88729 1.09279 23.2% - 0s
0 0 1.09276 0 107 0.88729 1.09276 23.2% - 0s
0 0 1.09275 0 110 0.88729 1.09275 23.2% - 0s
0 0 1.09275 0 106 0.88729 1.09275 23.2% - 0s
0 2 1.09275 0 106 0.88729 1.09275 23.2% - 0s
2326 846 0.91763 39 102 0.88729 0.96446 8.70% 17.2 5s
H 4256 1249 0.8881587 0.95291 7.29% 21.2 9s
4423 1279 0.95043 37 95 0.88816 0.95190 7.18% 21.3 10s
6697 1747 0.91703 35 107 0.88816 0.94429 6.32% 22.4 15s
9081 1920 0.91607 35 99 0.88816 0.93729 5.53% 23.3 20s
11945 1978 0.91621 35 107 0.88816 0.92937 4.64% 24.0 25s
14829 2003 cutoff 38 0.88816 0.92250 3.87% 24.2 30s
17165 2079 0.90260 50 82 0.88816 0.91576 3.11% 24.1 35s
20560 2477 0.91023 68 66 0.88816 0.91023 2.49% 23.0 40s
21660 2675 0.89084 56 92 0.88816 0.90932 2.38% 22.6 51s
24196 3087 infeasible 63 0.88816 0.90758 2.19% 22.2 55s
27931 3779 cutoff 92 0.88816 0.90563 1.97% 21.5 60s
31784 4362 0.89359 46 111 0.88816 0.90381 1.76% 21.1 65s
35390 4928 0.88913 79 75 0.88816 0.90268 1.64% 20.6 70s
38894 5313 0.89715 105 60 0.88816 0.90169 1.52% 20.2 75s
43073 5939 0.88917 56 111 0.88816 0.90067 1.41% 19.6 80s
46372 6462 infeasible 113 0.88816 0.89991 1.32% 19.2 85s
50095 6876 cutoff 98 0.88816 0.89908 1.23% 18.8 90s
54178 7326 infeasible 109 0.88816 0.89827 1.14% 18.4 95s
58611 7675 infeasible 114 0.88816 0.89744 1.04% 17.9 100s
Cutting planes:
Gomory: 116
Cover: 2
Implied bound: 56
Projected implied bound: 27
Clique: 1
MIR: 19
Flow cover: 107
Inf proof: 209
Explored 60984 nodes (1087084 simplex iterations) in 102.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.888159 0.887288
Optimal solution found (tolerance 1.00e-02)
Best objective 8.881586647025e-01, best bound 8.969718110059e-01, gap 0.9923%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkxj5jie_.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnmziuws3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.868833
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.106741e+00, 1010 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10674 0 100 0.86883 1.10674 27.4% - 0s
0 0 1.07253 0 107 0.86883 1.07253 23.4% - 0s
0 0 1.06588 0 108 0.86883 1.06588 22.7% - 0s
0 0 1.06585 0 106 0.86883 1.06585 22.7% - 0s
0 0 1.06559 0 111 0.86883 1.06559 22.6% - 0s
0 0 1.06556 0 112 0.86883 1.06556 22.6% - 0s
0 0 1.06543 0 113 0.86883 1.06543 22.6% - 0s
0 0 1.06539 0 113 0.86883 1.06539 22.6% - 0s
0 0 1.06532 0 113 0.86883 1.06532 22.6% - 0s
0 0 1.06532 0 108 0.86883 1.06532 22.6% - 0s
0 2 1.06532 0 108 0.86883 1.06532 22.6% - 0s
3688 1092 0.91173 44 81 0.86883 0.92636 6.62% 12.3 5s
8079 1670 0.89740 43 78 0.86883 0.90822 4.53% 12.9 10s
H12793 1772 0.8688333 0.89529 3.05% 13.1 14s
12859 1702 infeasible 46 0.86883 0.89441 2.94% 13.1 15s
19504 3185 0.88201 79 53 0.86883 0.88525 1.89% 11.5 20s
28871 6024 cutoff 127 0.86883 0.88226 1.55% 10.0 25s
36621 7050 0.87262 98 43 0.86883 0.88044 1.34% 9.4 30s
43496 7747 cutoff 82 0.86883 0.87889 1.16% 9.0 35s
49347 8115 infeasible 93 0.86883 0.87791 1.04% 8.7 40s
Cutting planes:
Gomory: 22
Implied bound: 5
MIR: 5
Flow cover: 11
Explored 53012 nodes (456939 simplex iterations) in 42.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.868833 0.868833
Optimal solution found (tolerance 1.00e-02)
Best objective 8.688333373290e-01, best bound 8.774519770849e-01, gap 0.9920%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbc482ng7.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt_pv323h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864271
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.094770e+00, 1065 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09477 0 101 0.86427 1.09477 26.7% - 0s
0 0 1.06203 0 102 0.86427 1.06203 22.9% - 0s
0 0 1.05707 0 105 0.86427 1.05707 22.3% - 0s
0 0 1.05705 0 103 0.86427 1.05705 22.3% - 0s
0 0 1.05673 0 106 0.86427 1.05673 22.3% - 0s
0 0 1.05671 0 107 0.86427 1.05671 22.3% - 0s
0 0 1.05670 0 112 0.86427 1.05670 22.3% - 0s
0 0 1.05666 0 112 0.86427 1.05666 22.3% - 0s
0 0 1.05666 0 112 0.86427 1.05666 22.3% - 0s
0 0 1.05666 0 108 0.86427 1.05666 22.3% - 0s
0 2 1.05666 0 108 0.86427 1.05666 22.3% - 0s
1735 753 0.92566 31 108 0.86427 0.94496 9.34% 18.2 5s
4934 1450 0.89351 51 83 0.86427 0.91504 5.87% 20.2 10s
7942 2017 0.87687 37 110 0.86427 0.90651 4.89% 20.8 15s
10990 2473 cutoff 33 0.86427 0.90024 4.16% 20.8 20s
13776 2799 0.89247 47 87 0.86427 0.89493 3.55% 21.0 25s
17487 3900 0.87180 44 93 0.86427 0.89156 3.16% 20.1 30s
20558 4637 0.88554 67 76 0.86427 0.88906 2.87% 19.7 44s
20942 4682 0.87443 61 83 0.86427 0.88861 2.82% 19.8 45s
23867 5260 0.87478 79 56 0.86427 0.88678 2.60% 20.3 50s
27319 6188 infeasible 61 0.86427 0.88533 2.44% 20.3 55s
31260 7079 cutoff 62 0.86427 0.88380 2.26% 20.2 60s
34827 7765 cutoff 32 0.86427 0.88237 2.09% 20.1 65s
38570 8472 0.86681 77 67 0.86427 0.88119 1.96% 20.2 70s
42141 8851 0.87957 86 68 0.86427 0.88013 1.83% 20.3 75s
44539 9216 0.87533 76 56 0.86427 0.87960 1.77% 20.3 80s
48187 9638 0.87878 75 70 0.86427 0.87886 1.69% 20.2 85s
51980 9831 0.87756 78 63 0.86427 0.87786 1.57% 20.3 90s
55318 10077 infeasible 80 0.86427 0.87710 1.48% 20.3 95s
58850 10535 cutoff 75 0.86427 0.87636 1.40% 20.1 100s
61795 10608 cutoff 77 0.86427 0.87565 1.32% 20.1 105s
65996 11129 0.86453 96 45 0.86427 0.87493 1.23% 19.8 110s
69980 11514 cutoff 83 0.86427 0.87427 1.16% 19.6 115s
H72544 11977 0.8642708 0.87396 1.12% 19.4 119s
72585 11912 infeasible 85 0.86427 0.87395 1.12% 19.5 120s
76717 12383 0.86630 78 68 0.86427 0.87338 1.05% 19.2 125s
79360 12605 0.86757 109 42 0.86427 0.87300 1.01% 19.0 130s
Cutting planes:
Learned: 1
Gomory: 130
Cover: 6
Implied bound: 54
Projected implied bound: 25
Clique: 1
MIR: 35
Flow cover: 114
Inf proof: 266
Explored 80390 nodes (1526226 simplex iterations) in 130.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.864271 0.864271
Optimal solution found (tolerance 1.00e-02)
Best objective 8.642708131167e-01, best bound 8.729129559610e-01, gap 0.9999%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5bogtpy5.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuaia8j2p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.855311
Presolve removed 662 rows and 429 columns
Presolve time: 0.02s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.084450e+00, 1062 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08445 0 102 0.85531 1.08445 26.8% - 0s
0 0 1.05244 0 112 0.85531 1.05244 23.0% - 0s
0 0 1.04582 0 116 0.85531 1.04582 22.3% - 0s
0 0 1.04579 0 114 0.85531 1.04579 22.3% - 0s
0 0 1.04565 0 113 0.85531 1.04565 22.3% - 0s
0 0 1.04563 0 114 0.85531 1.04563 22.3% - 0s
0 0 1.04562 0 117 0.85531 1.04562 22.3% - 0s
0 0 1.04558 0 117 0.85531 1.04558 22.2% - 0s
0 0 1.04558 0 117 0.85531 1.04558 22.2% - 0s
0 0 1.04558 0 112 0.85531 1.04558 22.2% - 0s
0 2 1.04558 0 112 0.85531 1.04558 22.2% - 0s
3395 1103 0.87374 39 87 0.85531 0.91766 7.29% 13.7 5s
7111 1850 0.88478 44 99 0.85531 0.90641 5.97% 14.5 10s
11176 1886 0.86932 74 64 0.85531 0.89537 4.68% 15.4 15s
H12760 2170 0.8553115 0.89158 4.24% 15.1 16s
14685 2152 0.86113 66 74 0.85531 0.88658 3.66% 15.2 20s
19120 2516 cutoff 102 0.85531 0.87930 2.80% 14.7 25s
21975 3429 0.86882 70 112 0.85531 0.87646 2.47% 14.1 39s
21979 3432 0.85885 58 164 0.85531 0.87646 2.47% 14.0 40s
22002 3447 0.86125 130 197 0.85531 0.87646 2.47% 14.0 45s
22016 3456 0.86101 101 190 0.85531 0.87646 2.47% 14.0 50s
22038 3458 0.87646 30 169 0.85531 0.87646 2.47% 14.2 55s
22815 3605 cutoff 45 0.85531 0.87646 2.47% 15.1 60s
24213 3598 0.87646 44 145 0.85531 0.87646 2.47% 16.6 65s
25309 3576 0.86652 47 153 0.85531 0.87646 2.47% 17.7 70s
H25332 3397 0.8553115 0.87646 2.47% 17.7 70s
26685 3228 0.87298 48 105 0.85531 0.87646 2.47% 19.1 75s
27330 3092 cutoff 57 0.85531 0.87646 2.47% 19.7 80s
29114 2962 cutoff 47 0.85531 0.87646 2.47% 20.6 85s
30937 2607 cutoff 48 0.85531 0.87646 2.47% 21.6 91s
32254 2481 0.86014 47 124 0.85531 0.87646 2.47% 22.2 95s
34146 2869 0.87646 47 105 0.85531 0.87646 2.47% 22.7 100s
36109 3251 0.87646 45 135 0.85531 0.87646 2.47% 23.2 106s
37590 3548 0.87169 45 112 0.85531 0.87646 2.47% 23.5 110s
39540 3792 0.85970 63 85 0.85531 0.87646 2.47% 24.0 115s
41326 4013 0.85842 52 109 0.85531 0.87646 2.47% 24.3 120s
43210 4116 0.85749 55 93 0.85531 0.87646 2.47% 24.6 125s
45219 4442 0.87646 61 105 0.85531 0.87646 2.47% 24.7 130s
47582 4642 infeasible 52 0.85531 0.87646 2.47% 24.9 135s
50010 4836 0.86980 46 117 0.85531 0.87646 2.47% 25.0 141s
51810 4944 cutoff 74 0.85531 0.87646 2.47% 25.1 145s
54080 5070 0.87109 50 127 0.85531 0.87646 2.47% 25.1 150s
55634 5302 infeasible 60 0.85531 0.87646 2.47% 25.0 155s
57966 5604 cutoff 52 0.85531 0.87646 2.47% 25.0 160s
60248 5737 0.87186 51 112 0.85531 0.87646 2.47% 25.0 165s
62647 5880 cutoff 64 0.85531 0.87604 2.42% 24.9 170s
65375 6093 0.87166 97 72 0.85531 0.87497 2.30% 24.8 175s
66871 6425 0.86309 49 97 0.85531 0.87456 2.25% 24.6 180s
69220 6716 0.85872 117 56 0.85531 0.87362 2.14% 24.5 185s
72115 7159 0.86436 87 79 0.85531 0.87284 2.05% 24.3 190s
75184 7855 0.85763 44 115 0.85531 0.87212 1.97% 24.0 195s
78517 8464 0.86615 94 79 0.85531 0.87145 1.89% 23.7 200s
81452 8964 0.86498 99 69 0.85531 0.87097 1.83% 23.4 205s
85082 9872 0.86967 88 81 0.85531 0.87045 1.77% 23.1 210s
87844 10385 cutoff 104 0.85531 0.87013 1.73% 22.8 215s
91102 10942 cutoff 44 0.85531 0.86967 1.68% 22.6 220s
93743 11761 cutoff 91 0.85531 0.86942 1.65% 22.3 225s
96050 12175 cutoff 86 0.85531 0.86915 1.62% 22.1 230s
99717 13169 0.86085 64 104 0.85531 0.86881 1.58% 21.8 235s
103051 13892 0.86711 59 109 0.85531 0.86848 1.54% 21.5 240s
107009 14888 cutoff 52 0.85531 0.86810 1.49% 21.2 245s
110436 15729 0.86123 127 41 0.85531 0.86786 1.47% 21.0 250s
114344 16767 0.85596 132 42 0.85531 0.86747 1.42% 20.7 255s
118415 17872 0.85776 105 58 0.85531 0.86722 1.39% 20.4 260s
121778 18650 0.85826 122 39 0.85531 0.86697 1.36% 20.2 265s
125609 19433 0.86514 87 84 0.85531 0.86669 1.33% 20.0 270s
129504 20340 0.85778 124 34 0.85531 0.86647 1.30% 19.7 275s
133875 21292 0.86615 73 90 0.85531 0.86620 1.27% 19.5 280s
137760 22264 cutoff 91 0.85531 0.86598 1.25% 19.3 285s
141677 23141 0.86197 107 67 0.85531 0.86579 1.23% 19.1 290s
144595 23894 infeasible 94 0.85531 0.86565 1.21% 18.9 295s
148775 24677 cutoff 112 0.85531 0.86545 1.19% 18.7 300s
152737 25494 0.85634 112 61 0.85531 0.86528 1.17% 18.6 305s
156371 25928 cutoff 85 0.85531 0.86509 1.14% 18.4 310s
160749 26860 0.86492 89 78 0.85531 0.86492 1.12% 18.3 315s
164502 27418 0.85816 67 101 0.85531 0.86478 1.11% 18.1 320s
168648 27982 cutoff 99 0.85531 0.86458 1.08% 18.0 325s
172485 28654 cutoff 115 0.85531 0.86444 1.07% 17.8 330s
175230 29138 cutoff 96 0.85531 0.86434 1.06% 17.8 335s
178700 29578 0.86046 96 67 0.85531 0.86421 1.04% 17.7 340s
182487 30080 0.85612 124 48 0.85531 0.86407 1.02% 17.5 345s
186262 30692 infeasible 59 0.85531 0.86395 1.01% 17.4 350s
Cutting planes:
Gomory: 192
Cover: 3
Implied bound: 30
Projected implied bound: 38
Clique: 1
MIR: 29
Flow cover: 96
Explored 188580 nodes (3271384 simplex iterations) in 352.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.855311 0.855311 0.855311
Optimal solution found (tolerance 1.00e-02)
Best objective 8.553114565813e-01, best bound 8.638513149981e-01, gap 0.9985%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqnlogkcb.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpswk6oekn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844225
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.063990e+00, 1045 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06399 0 101 0.84422 1.06399 26.0% - 0s
0 0 1.02815 0 105 0.84422 1.02815 21.8% - 0s
0 0 1.02293 0 121 0.84422 1.02293 21.2% - 0s
0 0 1.02288 0 121 0.84422 1.02288 21.2% - 0s
0 0 1.02266 0 120 0.84422 1.02266 21.1% - 0s
0 0 1.02262 0 121 0.84422 1.02262 21.1% - 0s
0 0 1.02245 0 121 0.84422 1.02245 21.1% - 0s
0 0 1.02245 0 122 0.84422 1.02245 21.1% - 0s
0 0 1.02245 0 121 0.84422 1.02245 21.1% - 0s
0 0 1.02245 0 111 0.84422 1.02245 21.1% - 0s
0 2 1.02245 0 111 0.84422 1.02245 21.1% - 0s
1207 448 0.87480 50 89 0.84422 0.92357 9.40% 22.4 5s
3868 1119 cutoff 45 0.84422 0.90405 7.09% 22.5 10s
H 4095 1159 0.8442246 0.90259 6.91% 22.9 11s
5871 1375 0.88376 38 122 0.84422 0.89614 6.15% 25.0 15s
8256 1566 0.85847 49 110 0.84422 0.88848 5.24% 27.1 20s
10263 1691 0.86926 41 109 0.84422 0.88197 4.47% 28.5 25s
12284 1671 cutoff 47 0.84422 0.87587 3.75% 29.2 30s
15084 1777 0.85315 75 85 0.84422 0.86930 2.97% 28.7 35s
H17288 1984 0.8442246 0.86439 2.39% 28.1 39s
17299 1907 cutoff 47 0.84422 0.86421 2.37% 28.1 40s
20481 2671 0.85821 84 65 0.84422 0.86064 1.94% 26.2 56s
22797 3112 0.85431 82 78 0.84422 0.85905 1.76% 25.4 60s
26717 4116 infeasible 73 0.84422 0.85758 1.58% 24.4 65s
30486 4984 0.84603 99 60 0.84422 0.85678 1.49% 23.6 70s
34032 5561 cutoff 111 0.84422 0.85598 1.39% 23.1 75s
37647 5973 0.85057 108 68 0.84422 0.85520 1.30% 22.6 80s
41143 6361 cutoff 94 0.84422 0.85457 1.23% 22.3 85s
44573 6857 cutoff 94 0.84422 0.85405 1.16% 22.0 90s
47501 7016 cutoff 97 0.84422 0.85364 1.12% 21.9 95s
50895 7388 infeasible 95 0.84422 0.85322 1.06% 21.6 100s
54520 7669 cutoff 103 0.84422 0.85286 1.02% 21.4 105s
Cutting planes:
Learned: 1
Gomory: 136
Cover: 4
Implied bound: 33
Projected implied bound: 31
MIR: 23
Flow cover: 113
Inf proof: 195
Explored 56782 nodes (1204492 simplex iterations) in 108.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.844225 0.844225 0.844225
Optimal solution found (tolerance 1.00e-02)
Best objective 8.442246202358e-01, best bound 8.525871927817e-01, gap 0.9906%
Run 4
Seed for training 969
Seed for simulation 240
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -6.69301360e+00, 5.02796422e+00],
[ 0.00000000e+00, 7.94284886e-06, 2.88356898e-02]])
fopt: 0.33397331229745597
fun: -0.3475479148059955
message: 'Optimization terminated successfully.'
nfev: 464
nit: 6
status: 0
success: True
x: array([207.62665807, -14.04806887, 17.02883628])
xopt: array([208., 0., 18.])
zopt: array([208., 208., 226.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbgrvvay7.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1nortca1.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.333973
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.084682e-01, 1129 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90847 0 96 0.33397 0.90847 172% - 0s
0 0 0.88127 0 120 0.33397 0.88127 164% - 0s
0 0 0.88127 0 120 0.33397 0.88127 164% - 0s
0 0 0.88009 0 119 0.33397 0.88009 164% - 0s
0 0 0.87973 0 120 0.33397 0.87973 163% - 0s
0 0 0.87946 0 119 0.33397 0.87946 163% - 0s
0 0 0.87943 0 119 0.33397 0.87943 163% - 0s
0 0 0.87892 0 119 0.33397 0.87892 163% - 0s
0 0 0.87887 0 119 0.33397 0.87887 163% - 0s
0 0 0.87887 0 119 0.33397 0.87887 163% - 0s
0 0 0.87887 0 101 0.33397 0.87887 163% - 0s
0 2 0.87887 0 101 0.33397 0.87887 163% - 0s
1706 866 0.80762 32 89 0.33397 0.82972 148% 24.6 5s
4523 2329 0.70688 30 136 0.33397 0.81983 145% 25.7 10s
* 5551 2719 120 0.4010449 0.81749 104% 25.9 11s
H 5646 2307 0.4786149 0.81749 70.8% 25.9 13s
6663 2798 cutoff 34 0.47861 0.81465 70.2% 26.5 15s
9107 3949 0.58783 44 66 0.47861 0.80754 68.7% 27.4 20s
12196 5316 0.74374 40 96 0.47861 0.80047 67.2% 28.2 25s
15908 7151 0.67676 45 70 0.47861 0.79621 66.4% 27.8 30s
*16648 7178 124 0.4995429 0.79561 59.3% 27.7 30s
*16649 7164 124 0.5000597 0.79561 59.1% 27.7 30s
18867 8206 0.63290 35 145 0.50006 0.79392 58.8% 28.2 35s
H20664 3712 0.7023605 0.79290 12.9% 28.7 52s
20676 3702 0.73399 38 186 0.70236 0.79290 12.9% 28.7 55s
20681 3706 0.72089 51 190 0.70236 0.79290 12.9% 28.7 60s
20687 3710 0.72517 60 200 0.70236 0.79290 12.9% 28.7 65s
20692 3713 0.77749 45 204 0.70236 0.79290 12.9% 28.6 70s
20698 3717 0.71394 61 215 0.70236 0.79290 12.9% 28.6 75s
20706 3722 0.71219 32 211 0.70236 0.79290 12.9% 28.6 80s
20714 3728 0.78626 27 228 0.70236 0.79290 12.9% 28.6 85s
20722 3733 0.75658 40 236 0.70236 0.79290 12.9% 28.6 90s
20729 3738 0.75054 51 239 0.70236 0.79290 12.9% 28.6 95s
20736 3742 0.72493 49 244 0.70236 0.79290 12.9% 28.6 100s
20743 3747 0.77625 39 235 0.70236 0.79290 12.9% 28.6 105s
20751 3752 0.78901 40 247 0.70236 0.79290 12.9% 28.6 110s
20759 3758 0.74810 38 242 0.70236 0.79290 12.9% 28.6 115s
H20762 3570 0.7047930 0.79290 12.5% 28.6 118s
20766 3572 0.75426 32 247 0.70479 0.79290 12.5% 28.5 120s
20773 3577 0.74651 35 249 0.70479 0.79290 12.5% 28.5 125s
20778 3580 0.72258 45 242 0.70479 0.79290 12.5% 28.5 130s
20783 3584 0.75377 40 241 0.70479 0.79290 12.5% 28.5 135s
20786 3588 0.79290 23 231 0.70479 0.79290 12.5% 29.5 143s
20789 3589 infeasible 24 0.70479 0.79197 12.4% 29.5 147s
H20814 3414 0.7047930 0.78953 12.0% 29.7 149s
20819 3413 0.72184 29 182 0.70479 0.78953 12.0% 29.8 150s
20930 3428 0.74299 55 154 0.70479 0.78953 12.0% 30.3 155s
21212 3455 0.75468 30 172 0.70479 0.77642 10.2% 31.7 160s
21532 3495 0.70903 38 158 0.70479 0.77385 9.80% 32.8 165s
22051 3568 0.71656 44 177 0.70479 0.76882 9.08% 34.3 170s
22557 3622 0.71207 48 171 0.70479 0.76631 8.73% 35.9 175s
22958 3679 0.75509 36 175 0.70479 0.76530 8.59% 37.3 180s
23373 3686 0.76074 36 170 0.70479 0.76416 8.42% 38.6 185s
23852 3712 cutoff 47 0.70479 0.76276 8.22% 40.2 190s
24160 3710 cutoff 53 0.70479 0.76210 8.13% 41.5 195s
24511 3683 0.70912 44 161 0.70479 0.76153 8.05% 43.2 201s
24884 3632 0.72138 43 166 0.70479 0.76103 7.98% 44.7 206s
25202 3593 0.72810 36 192 0.70479 0.76062 7.92% 46.1 210s
25580 3564 cutoff 36 0.70479 0.75990 7.82% 47.4 215s
25980 3536 cutoff 37 0.70479 0.75924 7.73% 48.9 222s
26003 3521 0.75480 34 198 0.70479 0.75914 7.71% 49.0 225s
26485 3512 0.73812 51 141 0.70479 0.75848 7.62% 50.2 230s
26986 3481 cutoff 41 0.70479 0.75762 7.50% 51.7 236s
27557 3473 infeasible 40 0.70479 0.75653 7.34% 53.0 243s
27816 3458 cutoff 41 0.70479 0.75606 7.27% 53.9 246s
28353 3378 0.75293 38 180 0.70479 0.75498 7.12% 55.7 253s
28549 3331 0.74690 36 181 0.70479 0.75478 7.09% 56.2 256s
28850 3290 0.70820 36 193 0.70479 0.75413 7.00% 57.1 260s
29461 3188 0.75215 33 188 0.70479 0.75314 6.86% 59.1 268s
29805 3148 cutoff 51 0.70479 0.75264 6.79% 59.8 272s
30140 3093 0.72976 42 196 0.70479 0.75194 6.69% 60.9 277s
30485 3009 0.71515 48 179 0.70479 0.75127 6.59% 61.9 281s
30887 2975 cutoff 61 0.70479 0.75063 6.50% 62.9 286s
31250 2979 0.71359 45 161 0.70479 0.75028 6.45% 63.9 291s
31620 3055 0.74877 41 178 0.70479 0.74966 6.37% 64.6 296s
*31794 3049 158 0.7050961 0.74966 6.32% 64.5 296s
32141 3286 cutoff 52 0.70510 0.74931 6.27% 65.2 302s
H32142 3286 0.7050961 0.74931 6.27% 65.2 302s
32208 3255 cutoff 36 0.70510 0.74904 6.23% 65.4 307s
32640 3336 cutoff 44 0.70510 0.74845 6.15% 66.3 312s
33028 3430 0.72717 40 177 0.70510 0.74764 6.03% 67.0 317s
33514 3552 0.74707 37 170 0.70510 0.74733 5.99% 67.8 322s
33882 3627 0.74534 41 173 0.70510 0.74677 5.91% 68.8 327s
34334 3764 cutoff 53 0.70510 0.74634 5.85% 69.5 332s
34762 3850 infeasible 55 0.70510 0.74603 5.81% 70.3 337s
35209 3970 0.74056 48 143 0.70510 0.74575 5.77% 71.0 342s
35624 4104 0.73462 35 201 0.70510 0.74542 5.72% 71.3 346s
36091 4238 cutoff 41 0.70510 0.74503 5.66% 72.0 352s
36610 4434 0.71805 44 163 0.70510 0.74466 5.61% 72.5 357s
37077 4575 0.73132 46 192 0.70510 0.74431 5.56% 73.1 362s
37588 4749 cutoff 39 0.70510 0.74393 5.51% 73.4 367s
38079 4880 cutoff 48 0.70510 0.74353 5.45% 73.9 372s
38660 5124 0.72996 88 94 0.70510 0.74323 5.41% 74.1 376s
39116 5287 0.74281 47 153 0.70510 0.74307 5.39% 74.7 381s
39609 5487 0.70887 63 132 0.70510 0.74294 5.37% 75.0 387s
40292 5777 0.72161 49 189 0.70510 0.74280 5.35% 74.9 391s
40747 5924 cutoff 38 0.70510 0.74257 5.31% 75.3 396s
41248 6105 0.71482 42 178 0.70510 0.74228 5.27% 75.6 400s
41851 6347 0.72819 44 194 0.70510 0.74194 5.22% 75.6 405s
42023 6400 cutoff 61 0.70510 0.74187 5.22% 75.7 410s
42931 6689 0.71714 66 111 0.70510 0.74161 5.18% 76.4 419s
43497 6889 infeasible 54 0.70510 0.74151 5.16% 76.5 423s
44003 7076 0.72577 72 103 0.70510 0.74135 5.14% 76.7 428s
44669 7363 0.72365 45 150 0.70510 0.74119 5.12% 76.7 432s
45118 7541 0.74080 55 148 0.70510 0.74104 5.10% 77.0 438s
H45119 7541 0.7050961 0.74104 5.10% 77.0 438s
H45121 7518 0.7054384 0.74104 5.05% 77.0 438s
H45124 7518 0.7054384 0.74104 5.05% 77.0 438s
45193 7507 0.73981 60 140 0.70544 0.74103 5.05% 77.0 442s
45692 7694 0.71329 57 133 0.70544 0.74091 5.03% 77.2 446s
46248 7944 cutoff 63 0.70544 0.74077 5.01% 77.2 450s
47351 8402 0.71451 41 167 0.70544 0.74066 4.99% 77.3 458s
47862 8620 0.73541 71 131 0.70544 0.74047 4.97% 77.4 462s
48561 8960 0.71561 63 144 0.70544 0.74041 4.96% 77.1 466s
49160 9255 cutoff 50 0.70544 0.74034 4.95% 77.0 470s
50177 9665 0.73197 67 154 0.70544 0.74016 4.92% 77.0 478s
50769 9957 0.71034 44 148 0.70544 0.74013 4.92% 76.8 481s
51207 10111 0.72650 65 139 0.70544 0.73996 4.89% 76.9 486s
52178 10522 0.72505 43 195 0.70544 0.73982 4.87% 76.9 493s
52725 10741 cutoff 50 0.70544 0.73971 4.86% 76.8 498s
52944 10814 0.73543 55 125 0.70544 0.73967 4.85% 76.9 502s
53446 10993 0.70655 62 150 0.70544 0.73960 4.84% 76.9 506s
54361 11300 cutoff 41 0.70544 0.73949 4.83% 77.1 513s
54786 11392 0.72383 60 168 0.70544 0.73943 4.82% 77.2 516s
55120 11472 0.73938 49 169 0.70544 0.73938 4.81% 77.5 520s
56034 11798 0.73640 48 154 0.70544 0.73917 4.78% 77.6 527s
56466 11964 0.70999 54 179 0.70544 0.73914 4.78% 77.7 531s
57382 12284 infeasible 50 0.70544 0.73903 4.76% 77.9 538s
57839 12389 0.71957 59 124 0.70544 0.73896 4.75% 77.9 541s
58179 12456 cutoff 47 0.70544 0.73893 4.75% 78.1 545s
58921 12641 0.73117 53 158 0.70544 0.73879 4.73% 78.5 552s
59338 12799 0.72293 63 180 0.70544 0.73872 4.72% 78.6 555s
60059 13005 cutoff 62 0.70544 0.73862 4.70% 78.9 562s
60494 13152 0.72219 56 117 0.70544 0.73855 4.69% 78.9 566s
61315 13425 cutoff 65 0.70544 0.73847 4.68% 79.2 573s
61766 13594 0.73094 80 144 0.70544 0.73836 4.67% 79.2 576s
62306 13810 0.71305 41 170 0.70544 0.73829 4.66% 79.1 580s
63173 14094 0.73066 47 182 0.70544 0.73813 4.63% 79.2 587s
63574 14252 0.73028 62 126 0.70544 0.73808 4.63% 79.3 590s
64443 14586 cutoff 58 0.70544 0.73799 4.61% 79.4 598s
65025 14809 infeasible 64 0.70544 0.73794 4.61% 79.3 600s
Cutting planes:
Gomory: 184
Cover: 14
Implied bound: 62
Projected implied bound: 72
Clique: 1
MIR: 161
StrongCG: 5
Flow cover: 654
Inf proof: 187
Explored 65312 nodes (5173984 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.705438 0.705438 0.705096 ... 0.499543
Time limit reached
Warning: max constraint violation (2.0000e-06) exceeds tolerance
Best objective 7.054384179494e-01, best bound 7.379306520922e-01, gap 4.6060%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd62ursn6.pyomo.lp
Reading time = 0.00 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp46dg2waq.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 670 rows and 478 columns
Presolve time: 0.01s
Presolved: 276 rows, 333 columns, 1365 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.2638259e+01 5.106250e+02 0.000000e+00 0s
159 1.4410538e+01 0.000000e+00 0.000000e+00 0s
Solved in 159 iterations and 0.01 seconds
Optimal objective 1.441053839e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.38540729e-02, 7.34178574e-04, 6.78782459e-04]])
fopt: 2.222238644567087
fun: -2.2382184926782784
message: 'Optimization terminated successfully.'
nfev: 324
nit: 5
status: 0
success: True
x: array([41.33131615, -0.99976469, -0.99962813])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.73074276e-02, 9.38628354e-04, 4.22316124e-02]])
fopt: 1.999724521908802
fun: -2.0150997907085344
message: 'Optimization terminated successfully.'
nfev: 138
nit: 2
status: 0
success: True
x: array([ 59.15788226, -0.99943172, -87.9983317 ])
xopt: array([59., 0., 0.])
zopt: array([59., 59., 59.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.42824583e-09, 1.11712636e-10, -0.00000000e+00]])
fopt: 1.6285209428816734
fun: -1.6319536885711037
message: 'Optimization terminated successfully.'
nfev: 264
nit: 2
status: 0
success: True
x: array([74.44656287, -0.5115348 , 1. ])
xopt: array([74., 0., 1.])
zopt: array([74., 74., 75.])
*******************************************
Period: 5
direc: array([[-1.50360117e-01, -4.36577841e-05, 1.88606694e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.99778143e-08, -2.29903687e-08, -8.23851148e-03]])
fopt: 1.3860532042175047
fun: -1.3883054926488632
message: 'Optimization terminated successfully.'
nfev: 353
nit: 4
status: 0
success: True
x: array([98.97705675, 1.00001195, -0.79721631])
xopt: array([98., 2., 0.])
zopt: array([ 98., 100., 100.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1462
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.3081743604291238
fun: -1.3167953006453992
message: 'Optimization terminated successfully.'
nfev: 320
nit: 3
status: 0
success: True
x: array([141.00776356, 1.00000481, 3. ])
xopt: array([141., 1., 3.])
zopt: array([141., 142., 145.])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.01888297e-11, -1.26354006e-15, 0.00000000e+00]])
fopt: 1.2408926760428478
fun: -1.2441963124527393
message: 'Optimization terminated successfully.'
nfev: 376
nit: 3
status: 0
success: True
x: array([160.17122816, 1.00766709, 1. ])
xopt: array([160., 1., 1.])
zopt: array([160., 161., 162.])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.98788952e-01, 0.00000000e+00, -1.85740874e-05]])
fopt: 1.1668064353377388
fun: -1.1686082194619916
message: 'Optimization terminated successfully.'
nfev: 301
nit: 3
status: 0
success: True
x: array([178.99411861, 1.00813062, 2.15657184])
xopt: array([178., 2., 2.])
zopt: array([178., 180., 182.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0286678374924778
fun: -1.0313884346436406
message: 'Optimization terminated successfully.'
nfev: 262
nit: 4
status: 0
success: True
x: array([193.99960658, 2.17476607, -0.48019177])
xopt: array([193., 3., 0.])
zopt: array([193., 196., 196.])
*******************************************
Period: 11
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.93700691, 12.0317803 , 22.84287459]])
fopt: 1.0595820062781238
fun: -1.0577875950126228
message: 'Optimization terminated successfully.'
nfev: 335
nit: 5
status: 0
success: True
x: array([186.92935494, 15.17483251, 29.34736379])
xopt: array([186., 16., 29.])
zopt: array([186., 202., 231.])
*******************************************
Period: 12
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 3.75814545, 16.10495292, 32.20990625]])
fopt: 1.1097819372383124
fun: -1.10931933255498
message: 'Optimization terminated successfully.'
nfev: 262
nit: 4
status: 0
success: True
x: array([181.99997468, 20.00000015, 37.19868875])
xopt: array([181., 21., 37.])
zopt: array([181., 202., 239.])
*******************************************
Period: 13
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 8.02669879e-01, 2.18031900e+01, 4.50555188e+01],
[ 3.92571142e-03, -7.56269647e-02, -1.03191676e-02]])
fopt: 1.0882566714333304
fun: -1.0835302545381398
message: 'Optimization terminated successfully.'
nfev: 524
nit: 8
status: 0
success: True
x: array([185.99479676, 24.03477867, 50.02369712])
xopt: array([185., 24., 51.])
zopt: array([185., 209., 260.])
*******************************************
Period: 14
direc: array([[ 3.5942475 , 26.42665744, 53.10757951],
[ 0. , 1. , 0. ],
[-3.45831797, 6.08613691, 0. ]])
fopt: 1.1516681757361604
fun: -1.155526315298389
message: 'Optimization terminated successfully.'
nfev: 853
nit: 12
status: 0
success: True
x: array([147.0006013 , 55.07792388, 73.00031319])
xopt: array([147., 55., 73.])
zopt: array([147., 202., 275.])
*******************************************
Period: 15
direc: array([[ 1. , 0. , 0. ],
[ 4.79694713, 37.00297761, 68.64196337],
[-53.31366149, 73.61447728, 5.10219656]])
fopt: 1.2856160574414741
fun: -1.288211231096526
message: 'Optimization terminated successfully.'
nfev: 650
nit: 9
status: 0
success: True
x: array([ 86.9999991 , 124.02135981, 89. ])
xopt: array([ 87., 124., 89.])
zopt: array([ 87., 211., 300.])
*******************************************
Period: 16
direc: array([[ 2.86629955e-01, 7.00517085e+00, 0.00000000e+00],
[-1.16942832e-03, -8.70916098e-03, -9.27957250e-01],
[-7.15169426e+01, 8.07999641e+01, 1.16701253e-01]])
fopt: 1.2297590926291782
fun: -1.2287114011758073
message: 'Optimization terminated successfully.'
nfev: 948
nit: 11
status: 0
success: True
x: array([ 86.4019474 , 115.00009324, 110. ])
xopt: array([ 87., 115., 110.])
zopt: array([ 87., 202., 312.])
*******************************************
Period: 17
direc: array([[ 4.69317677e+00, 3.45065205e+01, 6.90946541e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.68727322e+00, 8.02567006e+00, -5.87198431e-04]])
fopt: 1.148521887604202
fun: -1.146299505150572
message: 'Optimization terminated successfully.'
nfev: 630
nit: 10
status: 0
success: True
x: array([ 86.27856775, 115. , 100.05675739])
xopt: array([ 87., 115., 101.])
zopt: array([ 87., 202., 303.])
*******************************************
Period: 18
direc: array([[ 1.50502203e+02, 2.03444184e+00, 8.15874146e+00],
[-2.66251496e-06, 5.23606799e+00, 4.31163189e+01],
[ 0.00000000e+00, 2.00000000e+00, 0.00000000e+00]])
fopt: 0.8832967143215749
fun: -0.8835889551119118
message: 'Optimization terminated successfully.'
nfev: 1054
nit: 11
status: 0
success: True
x: array([171.99871786, 30.00971777, 107.00201416])
xopt: array([171., 31., 108.])
zopt: array([171., 202., 310.])
*******************************************
Period: 19
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[8.57315590e-01, 4.78648022e-03, 9.70172704e-03],
[0.00000000e+00, 1.31159806e+01, 7.76658809e-03]])
fopt: 0.8638229561779817
fun: -0.8639142561427984
message: 'Optimization terminated successfully.'
nfev: 678
nit: 8
status: 0
success: True
x: array([181. , 21.00000213, 180.0000004 ])
xopt: array([180., 22., 180.])
zopt: array([180., 202., 382.])
*******************************************
Period: 20
direc: array([[ 9.56310957, 27.44564191, 62.08005701],
[ 0. , 1. , 0. ],
[-17.5124411 , 37.48908426, 83.26664498]])
fopt: 0.821465302181022
fun: -0.8172137027627651
message: 'Optimization terminated successfully.'
nfev: 406
nit: 5
status: 0
success: True
x: array([143.58389632, 80. , 177.00184061])
xopt: array([143., 80., 178.])
zopt: array([143., 223., 401.])
*******************************************
Period: 21
direc: array([[ 4.66828437, 32.1123101 , 69.97530591],
[ 0. , 1. , 0. ],
[-27.3715392 , 49.67577485, 78.52708807]])
fopt: 0.7957097741372419
fun: -0.7924742590376308
message: 'Optimization terminated successfully.'
nfev: 433
nit: 5
status: 0
success: True
x: array([124.20031993, 107. , 169.18291341])
xopt: array([124., 107., 170.])
zopt: array([124., 231., 401.])
*******************************************
Period: 22
direc: array([[-2.36633409, -0.01344856, -0.02687358],
[ 0. , 1. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.7429389282049481
fun: -0.7438889078972344
message: 'Optimization terminated successfully.'
nfev: 602
nit: 7
status: 0
success: True
x: array([177.98179894, 7.00583862, 182.00152823])
xopt: array([177., 8., 183.])
zopt: array([177., 185., 368.])
*******************************************
Period: 23
direc: array([[-4.32214053e-03, -1.41420799e-01, -3.01082315e-01],
[-3.57960468e+01, 1.48787520e+01, -3.01321173e-01],
[-3.63353280e+01, 1.70356894e+01, 3.04402527e-02]])
fopt: 0.8054970069020241
fun: -0.8004112157342054
message: 'Optimization terminated successfully.'
nfev: 563
nit: 7
status: 0
success: True
x: array([71.8639904 , 88. , 82.00086425])
xopt: array([72., 89., 83.])
zopt: array([ 72., 161., 244.])
*******************************************
Period: 24
direc: array([[ 3.08895646e-02, 1.71678590e-04, 3.44741304e-04],
[-3.48355033e-03, -6.62851946e-02, -1.29183822e-01],
[-1.44993539e-06, -2.67821161e-05, -1.75891136e-07]])
fopt: 0.7470931304434272
fun: -0.7442757053018985
message: 'Optimization terminated successfully.'
nfev: 995
nit: 10
status: 0
success: True
x: array([143.77388919, 58.13195476, 75.54652268])
xopt: array([143., 59., 76.])
zopt: array([143., 202., 278.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 47.0813558 , 31.38757053]])
fopt: 0.6150859973791333
fun: -0.6123869976608578
message: 'Optimization terminated successfully.'
nfev: 392
nit: 6
status: 0
success: True
x: array([179.23583425, 43.10177549, 39.73220882])
xopt: array([179., 43., 40.])
zopt: array([179., 222., 262.])
*******************************************
Period: 26
direc: array([[ 11.48529942, 31.28099517, 63.12483722],
[ 0. , 1. , 0. ],
[-21.70171265, 42.23155304, 83.44136115]])
fopt: 0.7805716081473482
fun: -0.7775110215274794
message: 'Optimization terminated successfully.'
nfev: 409
nit: 5
status: 0
success: True
x: array([134.53543361, 89. , 175.03839742])
xopt: array([134., 89., 176.])
zopt: array([134., 223., 399.])
*******************************************
Period: 27
direc: array([[3.72989323e-04, 2.13337552e-06, 4.23274641e-06],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 2.00000000e+00, 0.00000000e+00]])
fopt: 0.5355990011232699
fun: -0.5333596324117781
message: 'Optimization terminated successfully.'
nfev: 603
nit: 7
status: 0
success: True
x: array([179.62235427, 77.00001793, 5.24716778])
xopt: array([179., 77., 6.])
zopt: array([179., 256., 262.])
*******************************************
Period: 28
direc: array([[ 5.66031951e-03, 3.01287582e-05, 6.49576802e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.35765808e-03, -2.14800971e-01, -1.39303304e-01]])
fopt: 0.5810887334512991
fun: -0.5791396565770728
message: 'Optimization terminated successfully.'
nfev: 512
nit: 6
status: 0
success: True
x: array([186.94244643, 43.00000598, 30.10798627])
xopt: array([186., 43., 31.])
zopt: array([186., 229., 260.])
*******************************************
Period: 29
direc: array([[1.34923339e-01, 8.04556638e-04, 7.59064911e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 4.41243009e+01, 2.90219025e+01]])
fopt: 0.6011062035967614
fun: -0.5997604182473598
message: 'Optimization terminated successfully.'
nfev: 622
nit: 7
status: 0
success: True
x: array([178.89216016, 51.00000508, 35.0221511 ])
xopt: array([178., 51., 36.])
zopt: array([178., 229., 265.])
*******************************************
Period: 30
direc: array([[ 1.90669925e-01, 1.06259776e-03, 2.17270554e-03],
[ 1.84102900e-01, 9.85716496e-01, 9.67656024e-01],
[-1.13988413e-09, -1.43632171e-08, -1.29891097e-11]])
fopt: 0.5275509403259098
fun: -0.5266842877501137
message: 'Optimization terminated successfully.'
nfev: 647
nit: 6
status: 0
success: True
x: array([181.00955086, 6.01771443, 5.01680843])
xopt: array([181., 7., 6.])
zopt: array([181., 188., 194.])
*******************************************
Period: 31
direc: array([[ 7.57519982e-01, 4.01263596e+01, 2.61282530e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.32805785e-05, -1.18459108e-05, 7.45958239e-07]])
fopt: 0.6226187961546666
fun: -0.6209967368789658
message: 'Optimization terminated successfully.'
nfev: 812
nit: 9
status: 0
success: True
x: array([163.98151742, 58.00000048, 38.21086089])
xopt: array([163., 58., 39.])
zopt: array([163., 221., 260.])
*******************************************
Period: 32
direc: array([[ 1.29941722e+01, 1.90678925e+01, 3.65115848e+01],
[-7.90754522e+01, 1.02398514e+02, 8.35562352e+01],
[ 3.19354675e-06, -1.14216322e-01, -3.37450797e-06]])
fopt: 0.7615395506815976
fun: -0.7599845981135572
message: 'Optimization terminated successfully.'
nfev: 558
nit: 6
status: 0
success: True
x: array([ 91.26350766, 147.07408259, 121.01810155])
xopt: array([ 91., 147., 122.])
zopt: array([ 91., 238., 360.])
*******************************************
Period: 33
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-3.81940641e-03, 7.07066236e-03, 3.63666332e-03],
[-4.41213215e-08, -3.12739169e-07, -1.12953595e-09]])
fopt: 0.5341398701477305
fun: -0.5332728784591487
message: 'Optimization terminated successfully.'
nfev: 574
nit: 7
status: 0
success: True
x: array([215.99987946, 9.00721818, 7.05238763])
xopt: array([215., 10., 8.])
zopt: array([215., 225., 233.])
*******************************************
Period: 34
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-127.91932073, 110.71705835, 66.06981942]])
fopt: 0.7805408499674004
fun: -0.781597054131157
message: 'Optimization terminated successfully.'
nfev: 502
nit: 7
status: 0
success: True
x: array([ 90.00219595, 137.03800928, 83.18087443])
xopt: array([ 90., 137., 84.])
zopt: array([ 90., 227., 311.])
*******************************************
Period: 35
direc: array([[-8.04517552e+00, 8.12840247e+00, 4.06420123e+00],
[-1.61023809e-06, -4.80235156e-06, -3.38711083e-06],
[-0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.7209383024674069
fun: -0.7206137609668573
message: 'Optimization terminated successfully.'
nfev: 535
nit: 7
status: 0
success: True
x: array([ 92.13643739, 176.006645 , 89.08135828])
xopt: array([ 92., 177., 90.])
zopt: array([ 92., 269., 359.])
*******************************************
Period: 36
direc: array([[ -1.86396773, 6.0024988 , 4.0198 ],
[ 0. , 1. , 0. ],
[-129.20905719, 91.43968668, 58.45564965]])
fopt: 0.7797793559282645
fun: -0.7793813602048183
message: 'Optimization terminated successfully.'
nfev: 832
nit: 11
status: 0
success: True
x: array([ 91.51870706, 126.00406558, 83.27134844])
xopt: array([ 91., 126., 84.])
zopt: array([ 91., 217., 301.])
*******************************************
Period: 37
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.74917541e+02, 9.01689473e+01, 8.84026757e+01],
[-8.12696960e-11, -2.44291166e-05, -2.41814751e-05]])
fopt: 0.7741651103151549
fun: -0.7713265624635163
message: 'Optimization terminated successfully.'
nfev: 526
nit: 7
status: 0
success: True
x: array([ 74.28668097, 100.00004454, 103.01564993])
xopt: array([ 75., 101., 103.])
zopt: array([ 75., 176., 279.])
*******************************************
Period: 38
direc: array([[ 1.69593761e-09, 1.00000000e+00, 0.00000000e+00],
[-1.75933682e+02, 8.71839559e+01, 5.81226373e+01],
[ 9.41529396e-09, 1.11264711e+01, 0.00000000e+00]])
fopt: 0.6957711122123967
fun: -0.6935363931571445
message: 'Optimization terminated successfully.'
nfev: 815
nit: 9
status: 0
success: True
x: array([ 77.00003344, 112. , 63.15948176])
xopt: array([ 78., 113., 64.])
zopt: array([ 78., 191., 255.])
*******************************************
Period: 39
direc: array([[-1.48404346e-03, 1.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.19782695e+01, 2.41626408e+01, 2.41626715e+01]])
fopt: 0.49713697894163117
fun: -0.49908325784308605
message: 'Optimization terminated successfully.'
nfev: 408
nit: 6
status: 0
success: True
x: array([244.03458316, 29.0753447 , 29.08106904])
xopt: array([244., 29., 29.])
zopt: array([244., 273., 302.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-147.05437536, 86.00614313, 57.33742875]])
fopt: 0.6814980929910761
fun: -0.6803187149625122
message: 'Optimization terminated successfully.'
nfev: 471
nit: 8
status: 0
success: True
x: array([ 92.94486183, 109.0024673 , 71.01251314])
xopt: array([ 92., 110., 72.])
zopt: array([ 92., 202., 274.])
*******************************************
Period: 41
direc: array([[ 5.36966879e-06, -1.00162746e-03, -6.69415619e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.09022656e-05, -5.45621337e-06, 3.65614169e-09]])
fopt: 0.429048406881012
fun: -0.4277201522851105
message: 'Optimization terminated successfully.'
nfev: 353
nit: 5
status: 0
success: True
x: array([254.00384889, 7.18232717, 5.01435414])
xopt: array([254., 7., 6.])
zopt: array([254., 261., 267.])
*******************************************
Period: 42
direc: array([[-2.39544865, 1. , 0.94427191],
[-0. , 0. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.418271397870729
fun: -0.41749707403601993
message: 'Optimization terminated successfully.'
nfev: 628
nit: 7
status: 0
success: True
x: array([251.14221114, 9. , 5.01365296])
xopt: array([251., 9., 6.])
zopt: array([251., 260., 266.])
*******************************************
Period: 43
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-162.13011573, 127.17122125, 85.50806922]])
fopt: 0.6637329583151754
fun: -0.6634168181140208
message: 'Optimization terminated successfully.'
nfev: 307
nit: 5
status: 0
success: True
x: array([ 90.04538236, 132.04401726, 90.49520978])
xopt: array([ 90., 132., 90.])
zopt: array([ 90., 222., 312.])
*******************************************
Period: 44
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-5.38025483e-01, 7.50647403e-01, 2.84457271e-01],
[ 6.39940891e-03, 9.99978933e-01, -7.98327612e-06]])
fopt: 0.5985832916284883
fun: -0.59470199536459
message: 'Optimization terminated successfully.'
nfev: 705
nit: 10
status: 0
success: True
x: array([76.99999928, 99. , 65.28942781])
xopt: array([ 76., 100., 66.])
zopt: array([ 76., 176., 242.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp25150af4.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyk_j5oxo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzpy4h68q.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5zqfa3hg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.996581
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.222239e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.2222386 2.22224 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.22224 0.996581
Optimal solution found (tolerance 1.00e-02)
Best objective 2.222238644567e+00, best bound 2.222238644567e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz6c5xrd8.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnhc9yy0o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11623
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.464973e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.46497 0 6 1.11623 2.46497 121% - 0s
H 0 0 1.9997245 2.46497 23.3% - 0s
0 0 2.10110 0 1 1.99972 2.10110 5.07% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.99972 1.11623
Optimal solution found (tolerance 1.00e-02)
Best objective 1.999724521909e+00, best bound 1.999724521909e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpif56j29i.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvy883iv8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37605
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.081709e+00, 43 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.08171 0 3 1.37605 2.08171 51.3% - 0s
H 0 0 1.6294704 2.08171 27.8% - 0s
0 0 cutoff 0 1.62947 1.62947 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (56 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62947 1.37605
Optimal solution found (tolerance 1.00e-02)
Best objective 1.629470370336e+00, best bound 1.629470370336e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbrhm7yeo.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdsd9nqm6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24224
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 1.884282e+00, 62 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88428 0 4 1.24224 1.88428 51.7% - 0s
H 0 0 1.4787195 1.88428 27.4% - 0s
0 0 1.53954 0 1 1.47872 1.53954 4.11% - 0s
H 0 0 1.4787195 1.53954 4.11% - 0s
0 0 cutoff 0 1.47872 1.47872 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 4
Explored 1 nodes (92 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.47872 1.47872 1.24224
Optimal solution found (tolerance 1.00e-02)
Best objective 1.478719455312e+00, best bound 1.478719455312e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppfpafvd8.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp95k0j9df.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04942
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 2.028531e+00, 87 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02853 0 5 1.04942 2.02853 93.3% - 0s
H 0 0 1.5379177 2.02853 31.9% - 0s
0 0 1.62954 0 1 1.53792 1.62954 5.96% - 0s
0 0 1.62954 0 1 1.53792 1.62954 5.96% - 0s
H 0 0 1.5544875 1.62954 4.83% - 0s
0 0 1.62954 0 1 1.55449 1.62954 4.83% - 0s
0 0 1.62954 0 1 1.55449 1.62954 4.83% - 0s
Explored 1 nodes (140 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.55449 1.53792 1.04942
Optimal solution found (tolerance 1.00e-02)
Best objective 1.554487491100e+00, best bound 1.554487491100e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe3655ldn.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq0t0jcn0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20557
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.093976e+00, 116 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09398 0 8 1.20557 2.09398 73.7% - 0s
0 0 1.89945 0 15 1.20557 1.89945 57.6% - 0s
H 0 0 1.5449143 1.89945 22.9% - 0s
0 0 1.71109 0 3 1.54491 1.71109 10.8% - 0s
H 0 0 1.5712524 1.71109 8.90% - 0s
0 0 1.71103 0 3 1.57125 1.71103 8.90% - 0s
0 0 1.71103 0 3 1.57125 1.71103 8.90% - 0s
H 0 0 1.5854550 1.71103 7.92% - 0s
0 0 1.71103 0 2 1.58546 1.71103 7.92% - 0s
0 0 1.70995 0 1 1.58546 1.70995 7.85% - 0s
0 0 1.68905 0 3 1.58546 1.68905 6.53% - 0s
0 0 1.68593 0 3 1.58546 1.68593 6.34% - 0s
0 0 1.68005 0 3 1.58546 1.68005 5.97% - 0s
0 0 1.67935 0 3 1.58546 1.67935 5.92% - 0s
0 0 1.67931 0 3 1.58546 1.67931 5.92% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
MIR: 2
Explored 1 nodes (256 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.58546 1.57125 1.54491 1.20557
Optimal solution found (tolerance 1.00e-02)
Best objective 1.585455033963e+00, best bound 1.585455033963e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi81y14yp.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptlf15twh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27602
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.107259e+00, 152 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10726 0 10 1.27602 2.10726 65.1% - 0s
H 0 0 1.5268753 2.10726 38.0% - 0s
0 0 1.78110 0 15 1.52688 1.78110 16.7% - 0s
0 0 1.73433 0 5 1.52688 1.73433 13.6% - 0s
0 0 1.73343 0 5 1.52688 1.73343 13.5% - 0s
0 0 1.73343 0 5 1.52688 1.73343 13.5% - 0s
0 2 1.73343 0 5 1.52688 1.73343 13.5% - 0s
* 21 0 9 1.5412216 1.54122 0.00% 4.8 0s
Cutting planes:
Gomory: 5
Implied bound: 4
MIR: 1
Flow cover: 13
Explored 22 nodes (327 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.54122 1.52688 1.27602
Optimal solution found (tolerance 1.00e-02)
Best objective 1.541221573156e+00, best bound 1.541221573156e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ynhqi3x.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwvs34ije.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28178
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.101668e+00, 149 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10167 0 11 1.28178 2.10167 64.0% - 0s
H 0 0 1.4896340 2.10167 41.1% - 0s
0 0 1.76633 0 17 1.48963 1.76633 18.6% - 0s
0 0 1.76532 0 17 1.48963 1.76532 18.5% - 0s
0 0 1.76259 0 16 1.48963 1.76259 18.3% - 0s
0 0 1.76258 0 17 1.48963 1.76258 18.3% - 0s
0 0 1.76256 0 16 1.48963 1.76256 18.3% - 0s
0 0 1.76256 0 14 1.48963 1.76256 18.3% - 0s
0 2 1.76256 0 14 1.48963 1.76256 18.3% - 0s
H 9 4 1.5298779 1.71724 12.2% 5.4 0s
Cutting planes:
Gomory: 6
Implied bound: 4
Flow cover: 11
Explored 38 nodes (474 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.52988 1.48963 1.28178
Optimal solution found (tolerance 1.00e-02)
Best objective 1.529877946628e+00, best bound 1.532604322306e+00, gap 0.1782%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplbcrz5hz.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuip1fjiu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32241
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.987605e+00, 171 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98761 0 14 1.32241 1.98761 50.3% - 0s
0 0 1.70432 0 25 1.32241 1.70432 28.9% - 0s
0 0 1.68537 0 26 1.32241 1.68537 27.4% - 0s
0 0 1.68495 0 27 1.32241 1.68495 27.4% - 0s
0 0 1.68441 0 29 1.32241 1.68441 27.4% - 0s
0 0 1.68383 0 31 1.32241 1.68383 27.3% - 0s
0 0 1.68364 0 32 1.32241 1.68364 27.3% - 0s
0 0 1.68258 0 32 1.32241 1.68258 27.2% - 0s
H 0 0 1.3712361 1.68258 22.7% - 0s
0 0 1.65316 0 21 1.37124 1.65316 20.6% - 0s
0 0 1.65316 0 21 1.37124 1.65316 20.6% - 0s
0 0 1.65316 0 21 1.37124 1.65316 20.6% - 0s
H 0 0 1.3896727 1.65316 19.0% - 0s
0 2 1.65316 0 21 1.38967 1.65316 19.0% - 0s
* 36 2 11 1.4169581 1.42991 0.91% 7.3 0s
Cutting planes:
Gomory: 7
Implied bound: 9
MIR: 3
Flow cover: 11
Explored 40 nodes (588 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.41696 1.38967 1.37124 1.32241
Optimal solution found (tolerance 1.00e-02)
Best objective 1.416958078919e+00, best bound 1.428625489058e+00, gap 0.8234%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgc116a23.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplt7w3kry.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24196
Presolve removed 214 rows and 141 columns
Presolve time: 0.00s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.987096e+00, 194 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98710 0 16 1.24196 1.98710 60.0% - 0s
0 0 1.69080 0 29 1.24196 1.69080 36.1% - 0s
0 0 1.67400 0 18 1.24196 1.67400 34.8% - 0s
0 0 1.66940 0 35 1.24196 1.66940 34.4% - 0s
0 0 1.66862 0 37 1.24196 1.66862 34.4% - 0s
0 0 1.66766 0 38 1.24196 1.66766 34.3% - 0s
0 0 1.66751 0 39 1.24196 1.66751 34.3% - 0s
0 0 1.66735 0 39 1.24196 1.66735 34.3% - 0s
0 0 1.66666 0 39 1.24196 1.66666 34.2% - 0s
0 0 1.66612 0 35 1.24196 1.66612 34.2% - 0s
0 0 1.66612 0 35 1.24196 1.66612 34.2% - 0s
0 0 1.66612 0 33 1.24196 1.66612 34.2% - 0s
0 1 1.66612 0 33 1.24196 1.66612 34.2% - 0s
* 166 9 15 1.3957777 1.44020 3.18% 6.1 0s
* 216 0 18 1.4100620 1.43417 1.71% 5.8 0s
H 222 3 1.4181609 1.43417 1.13% 5.7 0s
* 233 0 16 1.4277756 1.42778 0.00% 5.6 0s
Cutting planes:
Gomory: 9
Implied bound: 12
MIR: 3
Flow cover: 11
Inf proof: 1
Explored 234 nodes (1659 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.42778 1.41816 1.41006 ... 1.24196
Optimal solution found (tolerance 1.00e-02)
Best objective 1.427775644217e+00, best bound 1.427775644217e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpntxdbaod.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp08dniod.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23334
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.996575e+00, 213 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99658 0 18 1.23334 1.99658 61.9% - 0s
0 0 1.68730 0 30 1.23334 1.68730 36.8% - 0s
0 0 1.65976 0 28 1.23334 1.65976 34.6% - 0s
0 0 1.65569 0 30 1.23334 1.65569 34.2% - 0s
0 0 1.65481 0 31 1.23334 1.65481 34.2% - 0s
0 0 1.65363 0 32 1.23334 1.65363 34.1% - 0s
0 0 1.65350 0 33 1.23334 1.65350 34.1% - 0s
0 0 1.65342 0 33 1.23334 1.65342 34.1% - 0s
0 0 1.65279 0 33 1.23334 1.65279 34.0% - 0s
0 0 1.65230 0 29 1.23334 1.65230 34.0% - 0s
0 0 1.65230 0 28 1.23334 1.65230 34.0% - 0s
0 1 1.65230 0 28 1.23334 1.65230 34.0% - 0s
* 54 23 20 1.4129368 1.58785 12.4% 4.6 0s
* 96 8 18 1.4229620 1.45565 2.30% 5.8 0s
Cutting planes:
Gomory: 7
Implied bound: 10
MIR: 2
Flow cover: 10
Explored 123 nodes (1096 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.42296 1.41294 1.23334
Optimal solution found (tolerance 1.00e-02)
Best objective 1.422961951239e+00, best bound 1.422961951239e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphcomrkwf.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4pxvkrkr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26055
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.990305e+00, 251 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99031 0 20 1.26055 1.99031 57.9% - 0s
0 0 1.66928 0 34 1.26055 1.66928 32.4% - 0s
0 0 1.66846 0 36 1.26055 1.66846 32.4% - 0s
0 0 1.66815 0 37 1.26055 1.66815 32.3% - 0s
0 0 1.66774 0 39 1.26055 1.66774 32.3% - 0s
0 0 1.66761 0 40 1.26055 1.66761 32.3% - 0s
0 0 1.66705 0 41 1.26055 1.66705 32.2% - 0s
0 0 1.66705 0 39 1.26055 1.66705 32.2% - 0s
H 0 0 1.3841925 1.66705 20.4% - 0s
0 1 1.66705 0 39 1.38419 1.66705 20.4% - 0s
* 259 70 30 1.3866272 1.45632 5.03% 5.4 0s
* 260 64 30 1.3989140 1.45632 4.10% 5.4 0s
* 314 63 26 1.4053330 1.45409 3.47% 5.3 0s
* 372 57 28 1.4063363 1.44994 3.10% 5.3 0s
* 514 0 27 1.4184777 1.43411 1.10% 5.4 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 17
MIR: 2
Flow cover: 13
Inf proof: 11
Explored 573 nodes (3473 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.41848 1.40634 1.40533 ... 1.26055
Optimal solution found (tolerance 1.00e-02)
Best objective 1.418477650136e+00, best bound 1.418477650136e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfapc3q1n.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6kra5w_h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28389
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.901105e+00, 265 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90110 0 22 1.28389 1.90110 48.1% - 0s
0 0 1.56875 0 33 1.28389 1.56875 22.2% - 0s
0 0 1.54421 0 30 1.28389 1.54421 20.3% - 0s
0 0 1.54392 0 33 1.28389 1.54392 20.3% - 0s
0 0 1.54355 0 35 1.28389 1.54355 20.2% - 0s
0 0 1.54305 0 36 1.28389 1.54305 20.2% - 0s
0 0 1.54295 0 36 1.28389 1.54295 20.2% - 0s
0 0 1.54294 0 36 1.28389 1.54294 20.2% - 0s
0 0 1.54241 0 36 1.28389 1.54241 20.1% - 0s
0 0 1.54232 0 34 1.28389 1.54232 20.1% - 0s
0 0 1.54232 0 32 1.28389 1.54232 20.1% - 0s
0 1 1.54232 0 32 1.28389 1.54232 20.1% - 0s
H 64 36 1.3210785 1.40480 6.34% 5.8 0s
* 81 37 29 1.3218815 1.40447 6.25% 5.7 0s
* 256 42 29 1.3409064 1.37132 2.27% 5.7 0s
* 304 10 24 1.3425457 1.36284 1.51% 5.8 0s
Cutting planes:
Gomory: 7
Implied bound: 12
MIR: 1
Flow cover: 22
Inf proof: 8
Explored 352 nodes (2440 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.34255 1.34091 1.32188 ... 1.28389
Optimal solution found (tolerance 1.00e-02)
Best objective 1.342545705062e+00, best bound 1.354756671509e+00, gap 0.9095%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0gkfty51.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpypvv5sx7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22721
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.857350e+00, 288 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85735 0 24 1.22721 1.85735 51.3% - 0s
H 0 0 1.3019258 1.85735 42.7% - 0s
0 0 1.52133 0 29 1.30193 1.52133 16.9% - 0s
0 0 1.48080 0 32 1.30193 1.48080 13.7% - 0s
0 0 1.48005 0 35 1.30193 1.48005 13.7% - 0s
0 0 1.47970 0 37 1.30193 1.47970 13.7% - 0s
0 0 1.47924 0 38 1.30193 1.47924 13.6% - 0s
0 0 1.47914 0 38 1.30193 1.47914 13.6% - 0s
0 0 1.47898 0 38 1.30193 1.47898 13.6% - 0s
0 0 1.47898 0 36 1.30193 1.47898 13.6% - 0s
0 1 1.47898 0 36 1.30193 1.47898 13.6% - 0s
* 303 17 36 1.3134271 1.32698 1.03% 5.3 0s
Cutting planes:
Gomory: 5
Implied bound: 12
MIR: 1
Flow cover: 21
Inf proof: 2
Explored 352 nodes (2279 simplex iterations) in 0.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31343 1.30193 1.22721
Optimal solution found (tolerance 1.00e-02)
Best objective 1.313427117307e+00, best bound 1.325233433955e+00, gap 0.8989%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzgd9ed8k.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpszkqy2oc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22243
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.748141e+00, 346 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74814 0 25 1.22243 1.74814 43.0% - 0s
0 0 1.41119 0 25 1.22243 1.41119 15.4% - 0s
0 0 1.36744 0 41 1.22243 1.36744 11.9% - 0s
0 0 1.36655 0 41 1.22243 1.36655 11.8% - 0s
0 0 1.36616 0 41 1.22243 1.36616 11.8% - 0s
0 0 1.36616 0 38 1.22243 1.36616 11.8% - 0s
H 0 0 1.2297591 1.36616 11.1% - 0s
0 2 1.36616 0 38 1.22976 1.36616 11.1% - 0s
* 253 0 31 1.2297591 1.24176 0.98% 5.7 0s
Cutting planes:
Gomory: 11
Cover: 1
Implied bound: 4
Flow cover: 21
Inf proof: 4
Explored 262 nodes (2060 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.22976 1.22976 1.22243
Optimal solution found (tolerance 1.00e-02)
Best objective 1.229759108719e+00, best bound 1.229759108719e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8u8hfsjp.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc_4m8psn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15269
Presolve removed 298 rows and 195 columns
Presolve time: 0.02s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.643445e+00, 348 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64344 0 26 1.15269 1.64344 42.6% - 0s
0 0 1.32352 0 26 1.15269 1.32352 14.8% - 0s
0 0 1.26529 0 23 1.15269 1.26529 9.77% - 0s
0 0 1.26519 0 23 1.15269 1.26519 9.76% - 0s
0 0 1.26519 0 21 1.15269 1.26519 9.76% - 0s
0 2 1.26519 0 21 1.15269 1.26519 9.76% - 0s
* 228 19 27 1.1526948 1.17710 2.12% 5.3 0s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 3
Flow cover: 16
Inf proof: 8
Explored 276 nodes (2073 simplex iterations) in 0.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.15269 1.15269
Optimal solution found (tolerance 1.00e-02)
Best objective 1.152694751188e+00, best bound 1.152694751188e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpptyaaqur.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyj_rgg_4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07498
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.630694e+00, 400 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63069 0 34 1.07498 1.63069 51.7% - 0s
0 0 1.32776 0 26 1.07498 1.32776 23.5% - 0s
0 0 1.28672 0 30 1.07498 1.28672 19.7% - 0s
0 0 1.28650 0 34 1.07498 1.28650 19.7% - 0s
0 0 1.28613 0 37 1.07498 1.28613 19.6% - 0s
0 0 1.28613 0 37 1.07498 1.28613 19.6% - 0s
0 1 1.28613 0 37 1.07498 1.28613 19.6% - 0s
H 1436 356 1.0749824 1.16383 8.27% 6.1 0s
* 1663 421 33 1.0749825 1.15857 7.78% 6.2 0s
* 2110 459 52 1.0752808 1.15272 7.20% 6.6 1s
* 2466 491 45 1.0775474 1.14828 6.56% 6.9 1s
H 2895 539 1.0813032 1.14390 5.79% 7.2 1s
H 3365 425 1.1023404 1.14390 3.77% 7.5 2s
* 3372 396 48 1.1023404 1.14390 3.77% 7.5 2s
Cutting planes:
Gomory: 35
Cover: 5
Implied bound: 1
Projected implied bound: 4
MIR: 3
Flow cover: 32
Inf proof: 14
Explored 3568 nodes (27629 simplex iterations) in 3.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.10234 1.10234 1.0813 ... 1.07498
Optimal solution found (tolerance 1.00e-02)
Best objective 1.102340416669e+00, best bound 1.102340416669e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppfd0ugx0.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5k83tnu6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01847
Presolve removed 326 rows and 213 columns
Presolve time: 0.02s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.583326e+00, 407 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58333 0 45 1.01847 1.58333 55.5% - 0s
0 0 1.28084 0 48 1.01847 1.28084 25.8% - 0s
0 0 1.25204 0 50 1.01847 1.25204 22.9% - 0s
0 0 1.25145 0 50 1.01847 1.25145 22.9% - 0s
0 0 1.25032 0 52 1.01847 1.25032 22.8% - 0s
0 0 1.25024 0 52 1.01847 1.25024 22.8% - 0s
0 0 1.25011 0 52 1.01847 1.25011 22.7% - 0s
0 0 1.25011 0 48 1.01847 1.25011 22.7% - 0s
0 1 1.25011 0 48 1.01847 1.25011 22.7% - 0s
H 2277 549 1.0590447 1.13459 7.13% 7.4 1s
* 2847 418 52 1.0590448 1.12019 5.77% 7.8 2s
Cutting planes:
Gomory: 40
Cover: 1
Implied bound: 7
Projected implied bound: 5
MIR: 7
Flow cover: 19
Inf proof: 20
Explored 3168 nodes (26272 simplex iterations) in 2.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.05904 1.05904 1.01847
Optimal solution found (tolerance 1.00e-02)
Best objective 1.059044750018e+00, best bound 1.059044750018e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxhovacq5.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphihpijf5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.973199
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.545687e+00, 438 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54569 0 44 0.97320 1.54569 58.8% - 0s
0 0 1.25877 0 42 0.97320 1.25877 29.3% - 0s
0 0 1.22231 0 47 0.97320 1.22231 25.6% - 0s
0 0 1.22206 0 50 0.97320 1.22206 25.6% - 0s
0 0 1.22199 0 49 0.97320 1.22199 25.6% - 0s
0 0 1.22134 0 51 0.97320 1.22134 25.5% - 0s
0 0 1.22134 0 49 0.97320 1.22134 25.5% - 0s
0 2 1.22134 0 49 0.97320 1.22134 25.5% - 0s
* 2030 581 60 1.0185396 1.10188 8.18% 8.6 2s
Cutting planes:
Gomory: 50
Cover: 5
Implied bound: 16
Projected implied bound: 5
MIR: 7
Flow cover: 27
Inf proof: 22
Explored 3420 nodes (34242 simplex iterations) in 3.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.01854 0.973199
Optimal solution found (tolerance 1.00e-02)
Best objective 1.018539598754e+00, best bound 1.024638308105e+00, gap 0.5988%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpixdl5htb.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz8923bh_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.963882
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.470043e+00, 490 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47004 0 47 0.96388 1.47004 52.5% - 0s
0 0 1.18260 0 51 0.96388 1.18260 22.7% - 0s
0 0 1.15626 0 51 0.96388 1.15626 20.0% - 0s
0 0 1.15596 0 53 0.96388 1.15596 19.9% - 0s
0 0 1.15519 0 53 0.96388 1.15519 19.8% - 0s
0 0 1.15490 0 55 0.96388 1.15490 19.8% - 0s
0 0 1.15473 0 56 0.96388 1.15473 19.8% - 0s
0 0 1.15473 0 53 0.96388 1.15473 19.8% - 0s
0 1 1.15473 0 53 0.96388 1.15473 19.8% - 0s
* 2701 292 50 0.9638817 0.99236 2.95% 9.6 2s
Cutting planes:
Gomory: 51
Cover: 4
Implied bound: 7
Projected implied bound: 5
Clique: 2
MIR: 8
Flow cover: 31
Inf proof: 15
Explored 2941 nodes (28942 simplex iterations) in 3.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.963882 0.963882
Optimal solution found (tolerance 1.00e-02)
Best objective 9.638817497303e-01, best bound 9.702902738459e-01, gap 0.6649%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpraxeuudc.pyomo.lp
Reading time = 0.00 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzb9prl63.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.951552
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.419073e+00, 489 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41907 0 48 0.95155 1.41907 49.1% - 0s
0 0 1.17356 0 54 0.95155 1.17356 23.3% - 0s
0 0 1.15792 0 53 0.95155 1.15792 21.7% - 0s
0 0 1.15742 0 51 0.95155 1.15742 21.6% - 0s
0 0 1.15742 0 49 0.95155 1.15742 21.6% - 0s
0 2 1.15742 0 49 0.95155 1.15742 21.6% - 0s
Cutting planes:
Gomory: 69
Implied bound: 8
Projected implied bound: 10
Clique: 1
MIR: 5
Flow cover: 30
Inf proof: 15
Explored 3327 nodes (42147 simplex iterations) in 3.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.951552
Optimal solution found (tolerance 1.00e-02)
Best objective 9.515524751529e-01, best bound 9.584097853857e-01, gap 0.7206%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy3ileyk3.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuiosmxvi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.954394
Presolve removed 382 rows and 249 columns
Presolve time: 0.03s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.396806e+00, 513 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39681 0 50 0.95439 1.39681 46.4% - 0s
0 0 1.17943 0 55 0.95439 1.17943 23.6% - 0s
0 0 1.17504 0 63 0.95439 1.17504 23.1% - 0s
0 0 1.17265 0 67 0.95439 1.17265 22.9% - 0s
0 0 1.17264 0 67 0.95439 1.17264 22.9% - 0s
0 0 1.17051 0 62 0.95439 1.17051 22.6% - 0s
0 0 1.17051 0 62 0.95439 1.17051 22.6% - 0s
0 0 1.16948 0 70 0.95439 1.16948 22.5% - 0s
0 0 1.16948 0 64 0.95439 1.16948 22.5% - 0s
0 2 1.16948 0 64 0.95439 1.16948 22.5% - 0s
H 1447 479 0.9543937 1.04458 9.45% 9.5 1s
Cutting planes:
Gomory: 66
Cover: 2
Implied bound: 6
Projected implied bound: 25
MIR: 6
Flow cover: 36
Inf proof: 15
Explored 3030 nodes (37414 simplex iterations) in 3.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.954394 0.954394
Optimal solution found (tolerance 1.00e-02)
Best objective 9.543936911527e-01, best bound 9.629476341788e-01, gap 0.8963%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6kkon7te.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2h0tlei_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.954505
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.379362e+00, 534 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37936 0 51 0.95451 1.37936 44.5% - 0s
0 0 1.20697 0 58 0.95451 1.20697 26.5% - 0s
0 0 1.18692 0 63 0.95451 1.18692 24.3% - 0s
0 0 1.18144 0 71 0.95451 1.18144 23.8% - 0s
0 0 1.18005 0 68 0.95451 1.18005 23.6% - 0s
0 0 1.17700 0 72 0.95451 1.17700 23.3% - 0s
0 0 1.17695 0 72 0.95451 1.17695 23.3% - 0s
0 0 1.17659 0 73 0.95451 1.17659 23.3% - 0s
0 0 1.17659 0 70 0.95451 1.17659 23.3% - 0s
0 2 1.17659 0 68 0.95451 1.17659 23.3% - 0s
H 1443 554 0.9545054 1.07185 12.3% 10.2 1s
4279 570 infeasible 45 0.95451 1.01166 5.99% 13.4 5s
Cutting planes:
Gomory: 68
Cover: 5
Implied bound: 20
Projected implied bound: 26
MIR: 11
Flow cover: 45
Inf proof: 50
Explored 6337 nodes (85063 simplex iterations) in 7.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.954505 0.954505
Optimal solution found (tolerance 1.00e-02)
Best objective 9.545053530827e-01, best bound 9.577578328198e-01, gap 0.3408%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeeqfe22s.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzlcw5l6m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.933233
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.343813e+00, 548 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34381 0 52 0.93323 1.34381 44.0% - 0s
0 0 1.16611 0 54 0.93323 1.16611 25.0% - 0s
0 0 1.15735 0 67 0.93323 1.15735 24.0% - 0s
0 0 1.15605 0 68 0.93323 1.15605 23.9% - 0s
0 0 1.15516 0 67 0.93323 1.15516 23.8% - 0s
0 0 1.15516 0 68 0.93323 1.15516 23.8% - 0s
0 0 1.15405 0 57 0.93323 1.15405 23.7% - 0s
0 0 1.15405 0 57 0.93323 1.15405 23.7% - 0s
0 0 1.15405 0 57 0.93323 1.15405 23.7% - 0s
0 0 1.15405 0 55 0.93323 1.15405 23.7% - 0s
0 2 1.15405 0 55 0.93323 1.15405 23.7% - 0s
3874 155 0.93496 70 11 0.93323 0.95552 2.39% 15.3 5s
Cutting planes:
Gomory: 70
Cover: 1
Implied bound: 24
Projected implied bound: 25
MIR: 8
Flow cover: 42
Inf proof: 30
Explored 4209 nodes (63682 simplex iterations) in 5.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.933233
Optimal solution found (tolerance 1.00e-02)
Best objective 9.332330918424e-01, best bound 9.352652852094e-01, gap 0.2178%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpebh96f9l.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbvln7v5a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.918385
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.317336e+00, 636 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31734 0 55 0.91839 1.31734 43.4% - 0s
0 0 1.16310 0 67 0.91839 1.16310 26.6% - 0s
0 0 1.14446 0 67 0.91839 1.14446 24.6% - 0s
0 0 1.13884 0 72 0.91839 1.13884 24.0% - 0s
0 0 1.13760 0 75 0.91839 1.13760 23.9% - 0s
0 0 1.13757 0 75 0.91839 1.13757 23.9% - 0s
0 0 1.13661 0 73 0.91839 1.13661 23.8% - 0s
0 0 1.13652 0 74 0.91839 1.13652 23.8% - 0s
0 0 1.13632 0 75 0.91839 1.13632 23.7% - 0s
0 0 1.13632 0 75 0.91839 1.13632 23.7% - 0s
0 2 1.13632 0 75 0.91839 1.13632 23.7% - 0s
3958 40 cutoff 33 0.91839 0.92651 0.88% 14.3 5s
Cutting planes:
Gomory: 64
Cover: 2
Implied bound: 13
Projected implied bound: 19
MIR: 11
Flow cover: 43
Inf proof: 28
Explored 4050 nodes (58241 simplex iterations) in 5.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.918385
Optimal solution found (tolerance 1.00e-02)
Best objective 9.183854033584e-01, best bound 9.240626617674e-01, gap 0.6182%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8dzstk_w.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg7n3xdyk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.888823
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.268165e+00, 615 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26816 0 56 0.88882 1.26816 42.7% - 0s
0 0 1.10120 0 66 0.88882 1.10120 23.9% - 0s
0 0 1.10108 0 71 0.88882 1.10108 23.9% - 0s
0 0 1.10108 0 65 0.88882 1.10108 23.9% - 0s
0 2 1.10108 0 65 0.88882 1.10108 23.9% - 0s
4428 669 0.91559 37 48 0.88882 0.92817 4.43% 11.6 5s
Cutting planes:
Gomory: 58
Cover: 3
Implied bound: 14
Projected implied bound: 25
MIR: 5
Flow cover: 32
Inf proof: 37
Explored 5984 nodes (74356 simplex iterations) in 6.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.888823
Optimal solution found (tolerance 1.00e-02)
Best objective 8.888232475530e-01, best bound 8.970160141164e-01, gap 0.9218%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk1hv3pm_.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptyuix4w3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884839
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.253715e+00, 635 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25371 0 59 0.88484 1.25371 41.7% - 0s
0 0 1.17500 0 76 0.88484 1.17500 32.8% - 0s
0 0 1.16207 0 73 0.88484 1.16207 31.3% - 0s
0 0 1.16198 0 73 0.88484 1.16198 31.3% - 0s
0 0 1.15978 0 77 0.88484 1.15978 31.1% - 0s
0 0 1.15853 0 78 0.88484 1.15853 30.9% - 0s
0 0 1.15852 0 78 0.88484 1.15852 30.9% - 0s
0 0 1.15852 0 74 0.88484 1.15852 30.9% - 0s
0 2 1.15852 0 74 0.88484 1.15852 30.9% - 0s
4728 1037 infeasible 44 0.88484 0.93588 5.77% 12.9 5s
H 8573 906 0.8848390 0.91634 3.56% 14.9 9s
8931 810 cutoff 47 0.88484 0.91551 3.47% 15.0 10s
H 9631 621 0.8848390 0.90834 2.66% 15.3 11s
Cutting planes:
Learned: 1
Gomory: 76
Cover: 3
Implied bound: 16
Projected implied bound: 32
Clique: 3
MIR: 13
Flow cover: 51
Inf proof: 82
Explored 10812 nodes (168110 simplex iterations) in 12.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.884839 0.884839 0.884839
Optimal solution found (tolerance 1.00e-02)
Best objective 8.848389757605e-01, best bound 8.932527864221e-01, gap 0.9509%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpckbe_s3r.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbfeh26xv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878637
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.239905e+00, 667 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23991 0 63 0.87864 1.23991 41.1% - 0s
0 0 1.10818 0 76 0.87864 1.10818 26.1% - 0s
0 0 1.10696 0 74 0.87864 1.10696 26.0% - 0s
0 0 1.10597 0 74 0.87864 1.10597 25.9% - 0s
0 0 1.10555 0 76 0.87864 1.10555 25.8% - 0s
0 0 1.10457 0 81 0.87864 1.10457 25.7% - 0s
0 0 1.10454 0 86 0.87864 1.10454 25.7% - 0s
0 0 1.10447 0 84 0.87864 1.10447 25.7% - 0s
0 0 1.10447 0 82 0.87864 1.10447 25.7% - 0s
0 2 1.10447 0 80 0.87864 1.10447 25.7% - 0s
* 1990 630 121 0.8794233 0.98771 12.3% 13.0 3s
H 3366 940 0.8794233 0.97729 11.1% 14.0 4s
3369 933 cutoff 44 0.87942 0.97513 10.9% 14.0 5s
6986 1601 0.93794 47 70 0.87942 0.95265 8.33% 16.3 10s
10318 1518 0.88140 47 51 0.87942 0.93451 6.26% 17.7 15s
13734 1061 0.89069 47 63 0.87942 0.91328 3.85% 18.4 20s
H16086 736 0.8794233 0.89815 2.13% 18.1 23s
Cutting planes:
Gomory: 64
Cover: 3
Implied bound: 28
Projected implied bound: 35
MIR: 11
Flow cover: 54
Inf proof: 113
Explored 17557 nodes (310455 simplex iterations) in 24.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.879423 0.879423 0.879423 0.878637
Optimal solution found (tolerance 1.00e-02)
Best objective 8.794233038673e-01, best bound 8.881540952794e-01, gap 0.9928%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwszwop4g.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc4qze0z6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.874103
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.228613e+00, 666 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22861 0 66 0.87410 1.22861 40.6% - 0s
0 0 1.10553 0 85 0.87410 1.10553 26.5% - 0s
0 0 1.10487 0 87 0.87410 1.10487 26.4% - 0s
0 0 1.09893 0 86 0.87410 1.09893 25.7% - 0s
0 0 1.09784 0 97 0.87410 1.09784 25.6% - 0s
0 0 1.09757 0 95 0.87410 1.09757 25.6% - 0s
0 0 1.09755 0 95 0.87410 1.09755 25.6% - 0s
0 0 1.09734 0 94 0.87410 1.09734 25.5% - 0s
0 0 1.09727 0 95 0.87410 1.09727 25.5% - 0s
0 0 1.09727 0 95 0.87410 1.09727 25.5% - 0s
0 0 1.09727 0 88 0.87410 1.09727 25.5% - 0s
0 2 1.09727 0 88 0.87410 1.09727 25.5% - 0s
3159 1156 0.94660 29 73 0.87410 0.99517 13.9% 15.0 5s
H 3875 1283 0.8774026 0.98905 12.7% 15.8 6s
6432 1595 0.89824 40 67 0.87740 0.96221 9.67% 16.6 10s
10690 1841 cutoff 32 0.87740 0.94330 7.51% 17.1 15s
14835 1468 0.91640 29 77 0.87740 0.92140 5.01% 17.6 20s
19100 1322 0.89349 42 60 0.87740 0.89822 2.37% 16.8 25s
Cutting planes:
Gomory: 58
Cover: 1
Implied bound: 23
Projected implied bound: 33
MIR: 12
Flow cover: 39
Inf proof: 139
Explored 23455 nodes (370056 simplex iterations) in 28.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.877403 0.874103
Optimal solution found (tolerance 1.00e-02)
Best objective 8.774025687727e-01, best bound 8.859593127366e-01, gap 0.9752%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9dghtfxa.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3c9yb12z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.849551
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.188832e+00, 753 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18883 0 67 0.84955 1.18883 39.9% - 0s
0 0 1.08681 0 87 0.84955 1.08681 27.9% - 0s
0 0 1.08671 0 87 0.84955 1.08671 27.9% - 0s
0 0 1.07957 0 91 0.84955 1.07957 27.1% - 0s
0 0 1.07896 0 91 0.84955 1.07896 27.0% - 0s
0 0 1.07824 0 91 0.84955 1.07824 26.9% - 0s
0 0 1.07822 0 91 0.84955 1.07822 26.9% - 0s
0 0 1.07796 0 97 0.84955 1.07796 26.9% - 0s
0 0 1.07792 0 95 0.84955 1.07792 26.9% - 0s
0 0 1.07788 0 95 0.84955 1.07788 26.9% - 0s
0 0 1.07788 0 91 0.84955 1.07788 26.9% - 0s
0 2 1.07788 0 91 0.84955 1.07788 26.9% - 0s
2893 930 0.96171 28 87 0.84955 0.99422 17.0% 18.1 5s
6876 2096 0.93026 29 80 0.84955 0.94930 11.7% 18.8 10s
H 9739 2653 0.8495507 0.93627 10.2% 19.5 14s
10113 2713 0.90361 32 81 0.84955 0.93282 9.80% 19.5 15s
13033 3055 0.88298 34 78 0.84955 0.92315 8.66% 19.9 20s
16436 3308 0.86741 41 77 0.84955 0.91213 7.37% 20.4 25s
20688 3790 0.89704 38 91 0.84955 0.90237 6.22% 19.9 37s
20699 3797 0.87111 40 132 0.84955 0.90237 6.22% 19.9 40s
20711 3805 0.89881 31 132 0.84955 0.90237 6.22% 19.9 45s
20721 3812 0.87428 34 145 0.84955 0.90237 6.22% 19.9 50s
20732 3819 0.87719 40 150 0.84955 0.90237 6.22% 19.9 55s
20742 3826 0.89927 37 148 0.84955 0.90237 6.22% 19.9 60s
20755 3835 0.87028 45 148 0.84955 0.90237 6.22% 19.9 65s
20767 3843 0.89324 30 153 0.84955 0.90237 6.22% 19.9 70s
20778 3850 0.87730 27 147 0.84955 0.90237 6.22% 19.9 75s
20790 3858 0.88431 34 155 0.84955 0.90237 6.22% 19.8 80s
20800 3865 0.85926 48 168 0.84955 0.90237 6.22% 19.8 85s
20809 3871 0.88335 33 167 0.84955 0.90237 6.22% 19.8 90s
20819 3877 0.89384 39 169 0.84955 0.90237 6.22% 19.8 95s
20831 3885 0.85227 71 164 0.84955 0.90237 6.22% 19.8 100s
20838 3889 infeasible 26 0.84955 0.90237 6.22% 20.5 105s
20865 3899 0.90237 33 126 0.84955 0.90237 6.22% 20.6 110s
21789 3993 0.85604 50 103 0.84955 0.89799 5.70% 22.1 115s
H22195 3800 0.8495507 0.89546 5.40% 22.7 117s
22742 3776 0.86505 47 130 0.84955 0.89231 5.03% 23.7 120s
23770 3598 0.87515 36 131 0.84955 0.88763 4.48% 25.7 125s
24641 3338 0.85548 49 91 0.84955 0.88132 3.74% 27.6 130s
25580 2942 cutoff 44 0.84955 0.87222 2.67% 29.7 135s
26192 2732 cutoff 43 0.84955 0.86846 2.23% 30.9 140s
27065 2434 0.85213 58 98 0.84955 0.86556 1.88% 32.2 145s
28254 1967 0.85273 45 108 0.84955 0.86123 1.37% 33.6 150s
Cutting planes:
Gomory: 134
Cover: 3
Implied bound: 23
Projected implied bound: 38
Clique: 1
MIR: 117
StrongCG: 1
Flow cover: 358
Inf proof: 42
Explored 29964 nodes (1025787 simplex iterations) in 154.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.849551 0.849551 0.849551
Optimal solution found (tolerance 1.00e-02)
Best objective 8.495506929411e-01, best bound 8.565457940937e-01, gap 0.8234%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd8_kc19c.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptd97cgxh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.856423
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.179318e+00, 728 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17932 0 71 0.85642 1.17932 37.7% - 0s
0 0 1.11429 0 88 0.85642 1.11429 30.1% - 0s
0 0 1.10977 0 97 0.85642 1.10977 29.6% - 0s
0 0 1.10883 0 98 0.85642 1.10883 29.5% - 0s
0 0 1.10604 0 97 0.85642 1.10604 29.1% - 0s
0 0 1.10604 0 95 0.85642 1.10604 29.1% - 0s
0 0 1.10477 0 97 0.85642 1.10477 29.0% - 0s
0 0 1.10473 0 98 0.85642 1.10473 29.0% - 0s
0 0 1.10472 0 100 0.85642 1.10472 29.0% - 0s
0 0 1.10471 0 101 0.85642 1.10471 29.0% - 0s
0 0 1.10471 0 97 0.85642 1.10471 29.0% - 0s
0 0 1.10471 0 95 0.85642 1.10471 29.0% - 0s
0 2 1.10471 0 94 0.85642 1.10471 29.0% - 0s
2589 877 cutoff 41 0.85642 0.99438 16.1% 20.0 5s
H 2710 902 0.8564233 0.99274 15.9% 20.6 5s
5163 1706 0.87099 39 97 0.85642 0.96938 13.2% 22.5 10s
7673 2096 0.91509 47 76 0.85642 0.95246 11.2% 24.6 15s
H 9647 2365 0.8564233 0.94295 10.1% 25.5 18s
10052 2372 0.87608 39 94 0.85642 0.94077 9.85% 25.8 20s
12909 2704 0.92392 41 93 0.85642 0.92982 8.57% 26.4 25s
15292 2993 0.88770 54 72 0.85642 0.92401 7.89% 26.8 30s
18183 3319 cutoff 37 0.85642 0.91806 7.20% 27.1 35s
20801 3629 0.89311 43 95 0.85642 0.91388 6.71% 27.0 47s
20812 3636 0.86386 58 136 0.85642 0.91388 6.71% 27.0 50s
20821 3642 0.89606 47 136 0.85642 0.91388 6.71% 27.0 55s
20828 3647 0.86557 45 145 0.85642 0.91388 6.71% 27.0 60s
20839 3654 0.88996 45 147 0.85642 0.91388 6.71% 27.0 65s
20848 3660 0.89446 35 159 0.85642 0.91388 6.71% 27.0 70s
20859 3668 0.89248 47 154 0.85642 0.91388 6.71% 27.0 75s
20869 3674 0.90474 34 170 0.85642 0.91388 6.71% 26.9 80s
20879 3681 0.90097 36 153 0.85642 0.91388 6.71% 26.9 85s
20888 3687 0.87976 57 163 0.85642 0.91388 6.71% 26.9 90s
20900 3695 0.88932 44 165 0.85642 0.91388 6.71% 26.9 95s
20910 3702 0.86861 36 161 0.85642 0.91388 6.71% 26.9 100s
20921 3709 0.89606 47 171 0.85642 0.91388 6.71% 26.9 105s
20929 3714 0.90044 36 169 0.85642 0.91388 6.71% 26.9 110s
20939 3721 0.88996 45 170 0.85642 0.91388 6.71% 26.9 115s
20948 3727 0.89446 35 170 0.85642 0.91388 6.71% 26.8 120s
20959 3734 0.89248 47 166 0.85642 0.91388 6.71% 26.8 125s
20968 3741 infeasible 24 0.85642 0.91388 6.71% 27.6 131s
20972 3740 infeasible 26 0.85642 0.91388 6.71% 27.6 135s
20978 3739 0.91388 29 163 0.85642 0.91388 6.71% 27.6 141s
21052 3746 0.91388 34 155 0.85642 0.91388 6.71% 27.9 145s
21603 3807 0.86038 40 143 0.85642 0.90658 5.86% 29.0 150s
22427 3852 cutoff 59 0.85642 0.90406 5.56% 30.5 155s
22992 3817 0.87911 47 122 0.85642 0.90240 5.37% 32.1 160s
23876 3707 0.87005 48 108 0.85642 0.89973 5.06% 34.3 165s
24593 3606 0.87209 57 103 0.85642 0.89572 4.59% 36.4 170s
25256 3495 cutoff 45 0.85642 0.89288 4.26% 38.2 175s
25787 3351 0.88172 46 141 0.85642 0.89003 3.92% 40.0 180s
26380 3177 0.87773 41 141 0.85642 0.88766 3.65% 41.9 186s
26587 3119 0.88023 55 127 0.85642 0.88621 3.48% 42.6 190s
27290 2871 cutoff 41 0.85642 0.88452 3.28% 44.8 196s
27922 2628 cutoff 49 0.85642 0.88227 3.02% 46.9 201s
28330 2444 0.86074 42 123 0.85642 0.88082 2.85% 48.3 205s
28792 2222 cutoff 68 0.85642 0.87973 2.72% 49.7 210s
29580 1830 0.86542 46 124 0.85642 0.87639 2.33% 51.7 217s
30140 1515 0.86124 52 143 0.85642 0.87251 1.88% 53.1 221s
30647 1211 cutoff 44 0.85642 0.86986 1.57% 54.6 226s
31095 933 cutoff 48 0.85642 0.86669 1.20% 55.7 230s
Cutting planes:
Gomory: 154
Cover: 4
Implied bound: 31
Projected implied bound: 45
Clique: 1
MIR: 148
Flow cover: 490
Inf proof: 76
Explored 31557 nodes (1776669 simplex iterations) in 232.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.856423 0.856423 0.856423
Optimal solution found (tolerance 1.00e-02)
Best objective 8.564232799014e-01, best bound 8.639008003887e-01, gap 0.8731%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphzlzjdo3.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkkb3vv5s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853578
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.164628e+00, 786 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16463 0 75 0.85358 1.16463 36.4% - 0s
0 0 1.12524 0 89 0.85358 1.12524 31.8% - 0s
0 0 1.12520 0 85 0.85358 1.12520 31.8% - 0s
0 0 1.12286 0 97 0.85358 1.12286 31.5% - 0s
0 0 1.12233 0 97 0.85358 1.12233 31.5% - 0s
0 0 1.11676 0 93 0.85358 1.11676 30.8% - 0s
0 0 1.11649 0 93 0.85358 1.11649 30.8% - 0s
0 0 1.11415 0 98 0.85358 1.11415 30.5% - 0s
0 0 1.11413 0 98 0.85358 1.11413 30.5% - 0s
0 0 1.11410 0 98 0.85358 1.11410 30.5% - 0s
0 0 1.11410 0 98 0.85358 1.11410 30.5% - 0s
0 0 1.11410 0 98 0.85358 1.11410 30.5% - 0s
0 0 1.11410 0 98 0.85358 1.11410 30.5% - 0s
0 2 1.11410 0 98 0.85358 1.11410 30.5% - 0s
2525 665 0.91675 29 80 0.85358 0.98041 14.9% 18.4 5s
H 4455 955 0.8535783 0.95272 11.6% 20.9 8s
5966 1142 0.86594 58 53 0.85358 0.93863 10.0% 20.6 10s
9389 1179 0.89055 40 93 0.85358 0.90673 6.23% 21.2 15s
H12626 1142 0.8535783 0.88658 3.87% 20.9 19s
12627 1053 infeasible 54 0.85358 0.88646 3.85% 21.0 20s
15942 468 0.86803 64 53 0.85358 0.86803 1.69% 20.7 25s
Cutting planes:
Gomory: 67
Cover: 2
Implied bound: 40
Projected implied bound: 39
Clique: 1
MIR: 16
Flow cover: 60
Inf proof: 127
Explored 17035 nodes (347189 simplex iterations) in 26.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.853578 0.853578 0.853578
Optimal solution found (tolerance 1.00e-02)
Best objective 8.535783330653e-01, best bound 8.611388460218e-01, gap 0.8857%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwl_2h_mt.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjer_t4ud.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.852666
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.155125e+00, 861 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15513 0 76 0.85267 1.15513 35.5% - 0s
0 0 1.11060 0 91 0.85267 1.11060 30.2% - 0s
0 0 1.11055 0 88 0.85267 1.11055 30.2% - 0s
0 0 1.10660 0 99 0.85267 1.10660 29.8% - 0s
0 0 1.10658 0 99 0.85267 1.10658 29.8% - 0s
0 0 1.09983 0 94 0.85267 1.09983 29.0% - 0s
0 0 1.09983 0 94 0.85267 1.09983 29.0% - 0s
0 0 1.09966 0 96 0.85267 1.09966 29.0% - 0s
0 0 1.09950 0 96 0.85267 1.09950 28.9% - 0s
0 0 1.09947 0 96 0.85267 1.09947 28.9% - 0s
0 0 1.09947 0 92 0.85267 1.09947 28.9% - 0s
0 2 1.09947 0 92 0.85267 1.09947 28.9% - 0s
3143 769 cutoff 26 0.85267 0.96596 13.3% 18.2 5s
6360 1204 0.88006 47 62 0.85267 0.92582 8.58% 19.0 10s
H 6361 1205 0.8526663 0.92582 8.58% 19.0 10s
9996 1209 0.86001 38 78 0.85267 0.90378 5.99% 19.3 15s
13260 1252 0.87218 31 79 0.85267 0.88212 3.45% 19.0 20s
Cutting planes:
Learned: 1
Gomory: 57
Cover: 3
Implied bound: 38
Projected implied bound: 26
MIR: 13
Flow cover: 40
Inf proof: 158
Explored 17368 nodes (312078 simplex iterations) in 24.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.852666 0.852666
Optimal solution found (tolerance 1.00e-02)
Best objective 8.526663498994e-01, best bound 8.608986566407e-01, gap 0.9655%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiis8dyje.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpixquqhv4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.852138
Presolve removed 550 rows and 357 columns
Presolve time: 0.03s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.144552e+00, 873 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14455 0 73 0.85214 1.14455 34.3% - 0s
0 0 1.10610 0 96 0.85214 1.10610 29.8% - 0s
0 0 1.10593 0 96 0.85214 1.10593 29.8% - 0s
0 0 1.09827 0 97 0.85214 1.09827 28.9% - 0s
0 0 1.09777 0 98 0.85214 1.09777 28.8% - 0s
0 0 1.09753 0 103 0.85214 1.09753 28.8% - 0s
0 0 1.09753 0 103 0.85214 1.09753 28.8% - 0s
0 0 1.09732 0 105 0.85214 1.09732 28.8% - 0s
0 0 1.09731 0 105 0.85214 1.09731 28.8% - 0s
0 0 1.09731 0 102 0.85214 1.09731 28.8% - 0s
0 0 1.09731 0 104 0.85214 1.09731 28.8% - 0s
0 0 1.09731 0 104 0.85214 1.09731 28.8% - 0s
0 0 1.09731 0 100 0.85214 1.09731 28.8% - 0s
0 2 1.09731 0 98 0.85214 1.09731 28.8% - 0s
2988 941 0.94194 33 84 0.85214 0.95398 12.0% 16.1 5s
H 3125 997 0.8521378 0.95378 11.9% 16.0 5s
H 4465 1530 0.8521378 0.94219 10.6% 15.5 6s
7960 2550 cutoff 43 0.85214 0.92566 8.63% 14.9 10s
12078 3183 0.87540 33 82 0.85214 0.91611 7.51% 15.9 15s
16649 3406 0.90236 39 83 0.85214 0.90571 6.29% 16.8 20s
H17375 3450 0.8521378 0.90323 6.00% 16.9 21s
19187 3405 cutoff 35 0.85214 0.89750 5.32% 17.2 25s
20692 3451 0.88647 36 100 0.85214 0.89285 4.78% 17.3 35s
20710 3463 0.87016 43 163 0.85214 0.89285 4.78% 17.3 40s
20718 3468 0.87635 37 158 0.85214 0.89285 4.78% 17.3 45s
20727 3474 0.85718 57 154 0.85214 0.89285 4.78% 17.3 50s
20735 3480 0.88271 39 178 0.85214 0.89285 4.78% 17.3 55s
20744 3486 0.87584 55 172 0.85214 0.89285 4.78% 17.3 60s
20753 3492 0.85925 79 181 0.85214 0.89285 4.78% 17.3 65s
20764 3499 0.88192 31 167 0.85214 0.89285 4.78% 17.3 70s
20772 3504 0.85504 47 179 0.85214 0.89285 4.78% 17.3 75s
20778 3508 0.85703 40 184 0.85214 0.89285 4.78% 17.2 80s
20786 3514 0.85382 47 182 0.85214 0.89285 4.78% 17.2 85s
20796 3520 0.86161 39 183 0.85214 0.89285 4.78% 17.2 90s
20805 3526 0.87658 43 185 0.85214 0.89285 4.78% 17.2 95s
20812 3531 0.86204 49 179 0.85214 0.89285 4.78% 17.2 100s
20820 3536 0.86640 46 185 0.85214 0.89285 4.78% 17.2 105s
H20827 3361 0.8521384 0.89285 4.78% 17.2 111s
20834 3366 0.87783 31 178 0.85214 0.89285 4.78% 17.2 115s
20845 3373 0.85620 45 179 0.85214 0.89285 4.78% 17.2 120s
20852 3378 0.86336 46 185 0.85214 0.89285 4.78% 17.2 125s
20861 3384 0.88589 29 186 0.85214 0.89285 4.78% 17.2 130s
20869 3389 0.87100 48 190 0.85214 0.89285 4.78% 17.2 135s
20877 3394 0.87995 54 178 0.85214 0.89285 4.78% 17.2 140s
20883 3398 0.87658 43 165 0.85214 0.89285 4.78% 17.2 145s
20889 3402 0.86519 71 181 0.85214 0.89285 4.78% 17.2 150s
20898 3408 0.87326 42 188 0.85214 0.89285 4.78% 17.1 155s
20907 3416 0.89285 22 168 0.85214 0.89285 4.78% 18.4 162s
20909 3416 0.89285 23 168 0.85214 0.89285 4.78% 18.4 165s
20964 3422 0.85598 35 104 0.85214 0.89285 4.78% 18.7 170s
21604 3443 infeasible 36 0.85214 0.89285 4.78% 20.2 175s
22345 3326 0.86471 34 131 0.85214 0.89285 4.78% 22.4 180s
23085 3186 0.86107 54 100 0.85214 0.89079 4.54% 24.3 185s
23870 3029 cutoff 36 0.85214 0.88368 3.70% 26.4 190s
24479 2798 0.86954 48 120 0.85214 0.87882 3.13% 28.4 195s
25271 2516 0.86268 34 137 0.85214 0.87248 2.39% 30.0 200s
26435 2447 cutoff 55 0.85214 0.87159 2.28% 31.2 205s
27736 2458 0.86052 74 62 0.85214 0.86956 2.04% 31.6 210s
29398 2225 0.86753 56 109 0.85214 0.86753 1.81% 32.3 216s
30242 2113 infeasible 59 0.85214 0.86723 1.77% 32.5 220s
32083 2019 cutoff 78 0.85214 0.86495 1.50% 32.6 225s
33467 1973 cutoff 49 0.85214 0.86349 1.33% 33.0 231s
34280 1919 cutoff 78 0.85214 0.86283 1.25% 33.0 235s
35456 1629 0.85955 48 113 0.85214 0.86072 1.01% 33.5 240s
Cutting planes:
Gomory: 134
Cover: 6
Implied bound: 34
Projected implied bound: 42
MIR: 141
Flow cover: 395
Inf proof: 20
Zero half: 1
Explored 35682 nodes (1202180 simplex iterations) in 240.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.852138 0.852138 0.852138 ... 0.852138
Optimal solution found (tolerance 1.00e-02)
Best objective 8.521378424901e-01, best bound 8.604998905527e-01, gap 0.9813%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwlod0db1.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu9vo0xc2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.83347
Presolve removed 564 rows and 366 columns
Presolve time: 0.03s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.118356e+00, 975 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11836 0 76 0.83347 1.11836 34.2% - 0s
0 0 1.07878 0 96 0.83347 1.07878 29.4% - 0s
0 0 1.07875 0 92 0.83347 1.07875 29.4% - 0s
0 0 1.06512 0 106 0.83347 1.06512 27.8% - 0s
0 0 1.06512 0 106 0.83347 1.06512 27.8% - 0s
0 0 1.06206 0 107 0.83347 1.06206 27.4% - 0s
0 0 1.06161 0 109 0.83347 1.06161 27.4% - 0s
0 0 1.06094 0 111 0.83347 1.06094 27.3% - 0s
0 0 1.06093 0 113 0.83347 1.06093 27.3% - 0s
0 0 1.06065 0 111 0.83347 1.06065 27.3% - 0s
0 0 1.06065 0 111 0.83347 1.06065 27.3% - 0s
0 0 1.06062 0 109 0.83347 1.06062 27.3% - 0s
0 0 1.06062 0 99 0.83347 1.06062 27.3% - 0s
0 2 1.06062 0 99 0.83347 1.06062 27.3% - 0s
2170 584 cutoff 50 0.83347 0.93164 11.8% 19.1 5s
5401 1710 0.87762 39 86 0.83347 0.90201 8.22% 19.1 10s
H 6586 2028 0.8334696 0.89572 7.47% 19.5 11s
8477 2171 0.86909 36 95 0.83347 0.88487 6.17% 20.6 15s
H 9524 2220 0.8334696 0.87947 5.52% 21.3 17s
10786 2123 cutoff 44 0.83347 0.87372 4.83% 21.9 20s
13795 1960 0.86399 40 93 0.83347 0.86399 3.66% 22.5 25s
16405 1740 cutoff 49 0.83347 0.85499 2.58% 22.1 30s
20161 1136 infeasible 54 0.83347 0.84499 1.38% 21.0 35s
Cutting planes:
Gomory: 70
Cover: 2
Implied bound: 51
Projected implied bound: 39
MIR: 20
Flow cover: 51
Inf proof: 121
Explored 21172 nodes (439745 simplex iterations) in 36.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.83347 0.83347 0.83347
Optimal solution found (tolerance 1.00e-02)
Best objective 8.334695829018e-01, best bound 8.414429129509e-01, gap 0.9566%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp53aybs2w.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpigdv72tq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.834241
Presolve removed 578 rows and 375 columns
Presolve time: 0.03s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.116339e+00, 902 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11634 0 75 0.83424 1.11634 33.8% - 0s
0 0 1.07625 0 90 0.83424 1.07625 29.0% - 0s
0 0 1.07614 0 90 0.83424 1.07614 29.0% - 0s
0 0 1.07177 0 102 0.83424 1.07177 28.5% - 0s
0 0 1.07174 0 101 0.83424 1.07174 28.5% - 0s
0 0 1.07029 0 101 0.83424 1.07029 28.3% - 0s
0 0 1.07029 0 101 0.83424 1.07029 28.3% - 0s
0 0 1.06990 0 102 0.83424 1.06990 28.2% - 0s
0 0 1.06988 0 104 0.83424 1.06988 28.2% - 0s
0 0 1.06943 0 104 0.83424 1.06943 28.2% - 0s
0 0 1.06943 0 104 0.83424 1.06943 28.2% - 0s
0 0 1.06930 0 104 0.83424 1.06930 28.2% - 0s
0 0 1.06928 0 104 0.83424 1.06928 28.2% - 0s
0 0 1.06928 0 100 0.83424 1.06928 28.2% - 0s
0 2 1.06928 0 100 0.83424 1.06928 28.2% - 0s
* 1291 634 144 0.8348060 0.98952 18.5% 15.7 3s
2280 783 0.83709 45 77 0.83481 0.95375 14.2% 15.5 5s
5786 1561 cutoff 33 0.83481 0.90573 8.50% 18.0 10s
H 7162 1852 0.8348060 0.89936 7.73% 18.3 12s
9026 2097 0.87910 51 70 0.83481 0.89211 6.86% 18.8 15s
12599 2420 cutoff 36 0.83481 0.88125 5.56% 19.3 20s
15545 2436 cutoff 35 0.83481 0.87298 4.57% 19.7 25s
19204 2132 cutoff 30 0.83481 0.86016 3.04% 20.7 30s
20911 2249 0.84448 44 100 0.83481 0.85717 2.68% 20.4 44s
20918 2254 0.84172 60 152 0.83481 0.85717 2.68% 20.4 45s
20930 2262 0.83640 46 163 0.83481 0.85717 2.68% 20.4 50s
20936 2266 0.85013 63 169 0.83481 0.85717 2.68% 20.4 55s
20946 2272 0.85582 64 177 0.83481 0.85717 2.68% 20.4 60s
20953 2277 0.84369 49 172 0.83481 0.85717 2.68% 20.4 65s
20960 2282 0.85679 51 182 0.83481 0.85717 2.68% 20.4 70s
20969 2288 0.84591 57 185 0.83481 0.85717 2.68% 20.4 75s
20977 2293 0.85210 56 189 0.83481 0.85717 2.68% 20.4 80s
20985 2298 0.85343 42 189 0.83481 0.85717 2.68% 20.4 85s
20994 2304 0.84114 42 192 0.83481 0.85717 2.68% 20.4 90s
21003 2310 0.83950 39 181 0.83481 0.85717 2.68% 20.4 95s
21010 2315 0.84166 59 189 0.83481 0.85717 2.68% 20.3 100s
21018 2320 0.84172 60 189 0.83481 0.85717 2.68% 20.3 105s
H21022 2205 0.8348060 0.85717 2.68% 20.3 108s
21025 2207 0.84182 62 181 0.83481 0.85717 2.68% 20.3 110s
21034 2213 0.85329 28 187 0.83481 0.85717 2.68% 20.3 115s
21043 2219 0.84358 115 195 0.83481 0.85717 2.68% 20.3 120s
21052 2225 0.83849 49 195 0.83481 0.85717 2.68% 20.3 125s
21060 2230 0.85679 51 184 0.83481 0.85717 2.68% 20.3 130s
21066 2234 0.84952 62 192 0.83481 0.85717 2.68% 20.3 135s
21072 2238 0.85619 68 195 0.83481 0.85717 2.68% 20.3 140s
21078 2242 0.84652 55 190 0.83481 0.85717 2.68% 20.3 145s
21086 2248 0.85523 51 187 0.83481 0.85717 2.68% 20.3 150s
21093 2252 0.85562 70 188 0.83481 0.85717 2.68% 20.3 155s
21102 2258 0.85386 41 189 0.83481 0.85717 2.68% 20.3 161s
21106 2263 0.85717 24 182 0.83481 0.85717 2.68% 21.3 166s
21108 2262 0.85717 25 160 0.83481 0.85717 2.68% 21.4 170s
21244 2291 0.85717 35 174 0.83481 0.85717 2.68% 21.8 175s
21678 2251 cutoff 48 0.83481 0.85717 2.68% 23.7 180s
22145 2267 0.84980 46 141 0.83481 0.85717 2.68% 25.4 185s
22866 2327 0.84864 53 111 0.83481 0.85717 2.68% 27.3 190s
23728 2389 0.85064 34 156 0.83481 0.85717 2.68% 29.2 195s
24630 2420 0.85119 48 131 0.83481 0.85717 2.68% 30.7 200s
25286 2432 0.84435 49 131 0.83481 0.85717 2.68% 31.7 205s
25998 2307 0.85098 48 131 0.83481 0.85717 2.68% 33.6 210s
26886 2236 0.83507 62 105 0.83481 0.85717 2.68% 35.0 215s
27386 2173 cutoff 42 0.83481 0.85717 2.68% 36.0 221s
27892 1987 cutoff 60 0.83481 0.85717 2.68% 37.3 226s
28566 1990 0.83724 44 136 0.83481 0.85717 2.68% 38.7 231s
29104 1992 cutoff 47 0.83481 0.85717 2.68% 40.0 235s
30012 2017 0.84011 55 93 0.83481 0.85717 2.68% 42.1 241s
30727 2014 0.85431 49 135 0.83481 0.85717 2.68% 43.4 246s
31477 2052 0.83601 52 117 0.83481 0.85550 2.48% 44.5 251s
32474 2200 cutoff 50 0.83481 0.85393 2.29% 45.3 256s
33524 2343 0.84379 53 109 0.83481 0.85224 2.09% 46.0 261s
34084 2466 cutoff 56 0.83481 0.85167 2.02% 46.3 265s
35249 2594 0.84652 55 120 0.83481 0.85060 1.89% 46.7 272s
36365 2773 cutoff 72 0.83481 0.84965 1.78% 47.0 277s
37409 2870 0.83634 46 136 0.83481 0.84876 1.67% 47.4 281s
38381 2953 0.83917 40 136 0.83481 0.84845 1.63% 47.7 285s
39628 2987 cutoff 57 0.83481 0.84694 1.45% 48.0 290s
40710 2910 0.84008 67 92 0.83481 0.84587 1.33% 48.3 295s
41660 2784 0.84313 44 126 0.83481 0.84489 1.21% 48.5 300s
42659 2549 infeasible 59 0.83481 0.84367 1.06% 48.8 305s
Cutting planes:
Gomory: 155
Cover: 7
Implied bound: 41
Projected implied bound: 43
MIR: 145
StrongCG: 1
Flow cover: 428
Inf proof: 131
Explored 43088 nodes (2112654 simplex iterations) in 307.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.834806 0.834806 0.834806 0.834241
Optimal solution found (tolerance 1.00e-02)
Best objective 8.348060166860e-01, best bound 8.430606881440e-01, gap 0.9888%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzwz93rvf.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdtjzim7c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.823936
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.097421e+00, 910 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09742 0 78 0.82394 1.09742 33.2% - 0s
0 0 1.06071 0 86 0.82394 1.06071 28.7% - 0s
0 0 1.06068 0 86 0.82394 1.06068 28.7% - 0s
0 0 1.05869 0 100 0.82394 1.05869 28.5% - 0s
0 0 1.05836 0 100 0.82394 1.05836 28.5% - 0s
0 0 1.05510 0 99 0.82394 1.05510 28.1% - 0s
0 0 1.05510 0 99 0.82394 1.05510 28.1% - 0s
0 0 1.05350 0 100 0.82394 1.05350 27.9% - 0s
0 0 1.05321 0 97 0.82394 1.05321 27.8% - 0s
0 0 1.05308 0 97 0.82394 1.05308 27.8% - 0s
0 0 1.05307 0 98 0.82394 1.05307 27.8% - 0s
0 0 1.05307 0 102 0.82394 1.05307 27.8% - 0s
0 0 1.05300 0 100 0.82394 1.05300 27.8% - 0s
0 0 1.05300 0 97 0.82394 1.05300 27.8% - 0s
0 2 1.05300 0 97 0.82394 1.05300 27.8% - 0s
2094 510 infeasible 33 0.82394 0.90136 9.40% 17.2 5s
5214 1050 cutoff 34 0.82394 0.87669 6.40% 17.5 10s
8084 1234 0.85383 52 88 0.82394 0.86259 4.69% 19.6 15s
10825 711 0.83971 50 71 0.82394 0.84289 2.30% 21.6 20s
Cutting planes:
Gomory: 57
Cover: 11
Implied bound: 36
Projected implied bound: 46
Clique: 2
MIR: 10
Flow cover: 63
Inf proof: 96
Explored 12567 nodes (264230 simplex iterations) in 22.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.823936
Optimal solution found (tolerance 1.00e-02)
Best objective 8.239356635419e-01, best bound 8.320529924893e-01, gap 0.9852%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4qyylmxv.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmk2d0_3_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.819239
Presolve removed 606 rows and 393 columns
Presolve time: 0.04s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.093019e+00, 941 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09302 0 82 0.81924 1.09302 33.4% - 0s
0 0 1.06179 0 101 0.81924 1.06179 29.6% - 0s
0 0 1.06164 0 101 0.81924 1.06164 29.6% - 0s
0 0 1.05607 0 107 0.81924 1.05607 28.9% - 0s
0 0 1.05606 0 108 0.81924 1.05606 28.9% - 0s
0 0 1.05593 0 111 0.81924 1.05593 28.9% - 0s
0 0 1.05593 0 111 0.81924 1.05593 28.9% - 0s
0 0 1.05575 0 112 0.81924 1.05575 28.9% - 0s
0 0 1.05574 0 112 0.81924 1.05574 28.9% - 0s
0 0 1.05574 0 112 0.81924 1.05574 28.9% - 0s
0 0 1.05574 0 112 0.81924 1.05574 28.9% - 0s
0 0 1.05574 0 109 0.81924 1.05574 28.9% - 0s
0 2 1.05574 0 107 0.81924 1.05574 28.9% - 0s
H 3550 1030 0.8192388 0.89884 9.72% 13.9 4s
3551 1021 0.86491 36 87 0.81924 0.89880 9.71% 13.9 5s
8835 1714 0.86432 49 65 0.81924 0.87103 6.32% 13.2 10s
13710 1950 0.85127 40 77 0.81924 0.85533 4.41% 12.9 15s
H16246 1774 0.8192388 0.84695 3.38% 12.9 18s
17474 1410 0.84002 68 62 0.81924 0.84213 2.79% 12.8 20s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 9
MIR: 3
Flow cover: 9
Inf proof: 1
Explored 20857 nodes (259900 simplex iterations) in 23.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.819239 0.819239 0.819239
Optimal solution found (tolerance 1.00e-02)
Best objective 8.192388131900e-01, best bound 8.268859102297e-01, gap 0.9334%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk8d0fr5q.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpngmr3zie.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.804918
Presolve removed 620 rows and 402 columns
Presolve time: 0.04s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.073770e+00, 983 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07377 0 87 0.80492 1.07377 33.4% - 0s
0 0 1.04564 0 101 0.80492 1.04564 29.9% - 0s
0 0 1.03344 0 111 0.80492 1.03344 28.4% - 0s
0 0 1.03312 0 110 0.80492 1.03312 28.4% - 0s
0 0 1.02998 0 104 0.80492 1.02998 28.0% - 0s
0 0 1.02957 0 104 0.80492 1.02957 27.9% - 0s
0 0 1.02948 0 110 0.80492 1.02948 27.9% - 0s
0 0 1.02948 0 110 0.80492 1.02948 27.9% - 0s
0 0 1.02943 0 102 0.80492 1.02943 27.9% - 0s
0 0 1.02942 0 102 0.80492 1.02942 27.9% - 0s
0 0 1.02932 0 104 0.80492 1.02932 27.9% - 0s
0 0 1.02932 0 101 0.80492 1.02932 27.9% - 0s
0 2 1.02932 0 101 0.80492 1.02932 27.9% - 0s
1872 534 0.82673 37 82 0.80492 0.90027 11.8% 18.7 5s
4175 1070 0.87086 39 93 0.80492 0.87859 9.15% 19.7 10s
7326 1429 0.82114 54 76 0.80492 0.85915 6.74% 20.8 15s
10007 1332 0.80881 44 80 0.80492 0.84591 5.09% 22.0 20s
12982 1268 cutoff 50 0.80492 0.83201 3.37% 21.8 25s
15956 1174 0.81960 64 57 0.80492 0.82453 2.44% 20.8 30s
19273 671 infeasible 64 0.80492 0.81376 1.10% 19.8 35s
Cutting planes:
Gomory: 77
Cover: 4
Implied bound: 35
Projected implied bound: 42
MIR: 17
Flow cover: 58
Inf proof: 117
Explored 19646 nodes (387946 simplex iterations) in 35.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.804918
Optimal solution found (tolerance 1.00e-02)
Best objective 8.049182915705e-01, best bound 8.121903793453e-01, gap 0.9035%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpql6rq5bs.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphvuck53r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.804027
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.069423e+00, 1024 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06942 0 86 0.80403 1.06942 33.0% - 0s
0 0 1.03664 0 101 0.80403 1.03664 28.9% - 0s
0 0 1.03652 0 102 0.80403 1.03652 28.9% - 0s
0 0 1.03446 0 113 0.80403 1.03446 28.7% - 0s
0 0 1.03436 0 112 0.80403 1.03436 28.6% - 0s
0 0 1.03230 0 113 0.80403 1.03230 28.4% - 0s
0 0 1.03209 0 117 0.80403 1.03209 28.4% - 0s
0 0 1.03179 0 118 0.80403 1.03179 28.3% - 0s
0 0 1.03178 0 116 0.80403 1.03178 28.3% - 0s
0 0 1.03149 0 119 0.80403 1.03149 28.3% - 0s
0 0 1.03149 0 119 0.80403 1.03149 28.3% - 0s
0 0 1.03135 0 119 0.80403 1.03135 28.3% - 0s
0 0 1.03134 0 119 0.80403 1.03134 28.3% - 0s
0 0 1.03134 0 113 0.80403 1.03134 28.3% - 0s
0 2 1.03134 0 113 0.80403 1.03134 28.3% - 0s
1582 709 0.80587 36 98 0.80403 0.94665 17.7% 18.2 5s
4077 1400 0.86291 34 108 0.80403 0.89931 11.9% 20.6 10s
H 5667 1774 0.8040273 0.89146 10.9% 21.5 13s
6221 1817 0.82011 31 107 0.80403 0.88720 10.3% 22.1 15s
9136 2408 cutoff 35 0.80403 0.87747 9.13% 22.4 20s
H 9415 2473 0.8040273 0.87687 9.06% 22.5 20s
11847 2649 0.81511 44 98 0.80403 0.86948 8.14% 22.9 25s
14434 2800 0.84236 31 111 0.80403 0.86229 7.25% 23.6 30s
16552 2886 infeasible 45 0.80403 0.85660 6.54% 23.7 35s
19180 2847 cutoff 55 0.80403 0.85039 5.77% 24.1 40s
21972 2740 cutoff 43 0.80403 0.84455 5.04% 24.3 45s
24556 2484 0.83626 44 105 0.80403 0.83872 4.31% 24.4 50s
27516 2266 0.82835 55 91 0.80403 0.83111 3.37% 24.3 55s
30438 1919 0.81596 63 67 0.80403 0.82346 2.42% 24.1 60s
33577 1743 0.81243 56 71 0.80403 0.81863 1.82% 23.4 65s
37131 1340 cutoff 82 0.80403 0.81227 1.03% 22.5 70s
Cutting planes:
Gomory: 76
Implied bound: 57
Projected implied bound: 41
MIR: 11
Flow cover: 55
Inf proof: 209
Explored 37592 nodes (842174 simplex iterations) in 70.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.804027 0.804027 0.804027
Optimal solution found (tolerance 1.00e-02)
Best objective 8.040273228994e-01, best bound 8.117648068967e-01, gap 0.9623%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl_9po9_7.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsb1it66e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.793014
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.063525e+00, 990 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06353 0 89 0.79301 1.06353 34.1% - 0s
0 0 1.03880 0 96 0.79301 1.03880 31.0% - 0s
0 0 1.02507 0 111 0.79301 1.02507 29.3% - 0s
0 0 1.02471 0 111 0.79301 1.02471 29.2% - 0s
0 0 1.02274 0 117 0.79301 1.02274 29.0% - 0s
0 0 1.02273 0 117 0.79301 1.02273 29.0% - 0s
0 0 1.02258 0 119 0.79301 1.02258 28.9% - 0s
0 0 1.02258 0 119 0.79301 1.02258 28.9% - 0s
0 0 1.02258 0 114 0.79301 1.02258 28.9% - 0s
0 2 1.02258 0 114 0.79301 1.02258 28.9% - 0s
* 1479 642 163 0.7957576 0.93184 17.1% 18.7 4s
1717 664 cutoff 36 0.79576 0.92667 16.5% 19.7 5s
* 3182 865 142 0.7975701 0.88825 11.4% 22.8 8s
3534 994 0.83178 36 104 0.79757 0.88483 10.9% 23.0 10s
H 3536 996 0.7975701 0.88483 10.9% 23.0 10s
6637 1800 0.84249 39 103 0.79757 0.86623 8.61% 22.0 15s
9701 2139 cutoff 36 0.79757 0.85643 7.38% 22.4 20s
12607 2277 0.81091 40 93 0.79757 0.84800 6.32% 22.8 25s
15695 2729 0.81729 38 94 0.79757 0.84180 5.55% 22.4 30s
18767 2994 0.81671 40 106 0.79757 0.83607 4.83% 22.2 35s
21745 3246 0.82191 53 114 0.79757 0.83196 4.31% 22.2 51s
21758 3255 0.80803 51 164 0.79757 0.83196 4.31% 22.1 55s
21765 3259 0.83140 40 183 0.79757 0.83196 4.31% 22.1 60s
21773 3265 0.81626 37 197 0.79757 0.83196 4.31% 22.1 65s
21779 3269 0.81440 63 193 0.79757 0.83196 4.31% 22.1 70s
21786 3273 0.80527 63 200 0.79757 0.83196 4.31% 22.1 75s
21793 3278 0.83083 35 203 0.79757 0.83196 4.31% 22.1 80s
21799 3282 0.81225 49 215 0.79757 0.83196 4.31% 22.1 85s
21807 3287 0.81329 47 213 0.79757 0.83196 4.31% 22.1 90s
21815 3293 0.82613 56 214 0.79757 0.83196 4.31% 22.1 95s
21823 3298 0.81649 53 215 0.79757 0.83196 4.31% 22.1 100s
21831 3303 0.81973 35 205 0.79757 0.83196 4.31% 22.1 105s
21837 3307 0.81742 61 211 0.79757 0.83196 4.31% 22.1 110s
21844 3312 0.80690 56 207 0.79757 0.83196 4.31% 22.1 116s
21850 3316 0.81208 59 207 0.79757 0.83196 4.31% 22.0 120s
21856 3320 0.81612 55 215 0.79757 0.83196 4.31% 22.0 125s
21862 3324 0.83139 41 193 0.79757 0.83196 4.31% 22.0 130s
H21865 3157 0.7975702 0.83196 4.31% 22.0 134s
21868 3159 0.80731 60 221 0.79757 0.83196 4.31% 22.0 135s
21876 3164 0.81679 42 217 0.79757 0.83196 4.31% 22.0 140s
21883 3169 0.79942 61 219 0.79757 0.83196 4.31% 22.0 145s
21888 3172 0.80523 57 188 0.79757 0.83196 4.31% 22.0 150s
21892 3179 0.83196 22 183 0.79757 0.83196 4.31% 23.0 156s
21940 3189 0.83196 31 192 0.79757 0.83196 4.31% 23.3 160s
22335 3256 0.81260 52 133 0.79757 0.83196 4.31% 24.4 165s
22715 3314 0.83196 32 156 0.79757 0.83196 4.31% 25.7 170s
23212 3333 0.81542 45 145 0.79757 0.83196 4.31% 27.4 175s
23545 3383 0.82177 41 163 0.79757 0.83196 4.31% 28.7 180s
23930 3419 0.82594 36 158 0.79757 0.83196 4.31% 30.4 185s
24316 3436 0.82527 35 165 0.79757 0.83196 4.31% 32.2 190s
24859 3505 0.79882 42 146 0.79757 0.83196 4.31% 34.2 195s
25208 3502 0.81232 56 131 0.79757 0.83196 4.31% 35.6 200s
25523 3492 0.82224 40 172 0.79757 0.83196 4.31% 37.3 205s
25854 3483 0.83196 35 172 0.79757 0.83196 4.31% 38.8 210s
26282 3438 0.81947 39 160 0.79757 0.83196 4.31% 40.9 216s
26557 3441 cutoff 36 0.79757 0.83196 4.31% 42.2 220s
26829 3414 0.81142 35 167 0.79757 0.83196 4.31% 43.4 225s
26989 3383 0.82620 34 177 0.79757 0.83196 4.31% 44.2 232s
27004 3369 cutoff 35 0.79757 0.83196 4.31% 44.3 235s
27347 3297 cutoff 47 0.79757 0.83196 4.31% 46.0 240s
27850 3277 0.83196 48 140 0.79757 0.83196 4.31% 47.7 245s
28223 3258 cutoff 36 0.79757 0.83196 4.31% 48.9 251s
28698 3163 cutoff 39 0.79757 0.83196 4.31% 50.9 257s
28981 3103 0.83196 33 187 0.79757 0.83196 4.31% 51.9 261s
29484 2963 0.82070 48 145 0.79757 0.83196 4.31% 53.9 268s
29824 2896 cutoff 41 0.79757 0.83196 4.31% 54.9 272s
30206 2840 0.79929 44 143 0.79757 0.83196 4.31% 55.9 276s
30598 2758 0.82297 45 134 0.79757 0.83196 4.31% 56.9 280s
31224 2610 0.82844 34 176 0.79757 0.83196 4.31% 58.8 289s
31611 2624 0.80739 40 156 0.79757 0.83196 4.31% 60.0 293s
32013 2664 cutoff 60 0.79757 0.83196 4.31% 61.1 298s
32410 2686 cutoff 47 0.79757 0.83196 4.31% 62.3 303s
32903 2751 cutoff 50 0.79757 0.83196 4.31% 63.2 308s
33318 2772 0.83054 48 142 0.79757 0.83196 4.31% 64.2 313s
33677 2764 0.83003 38 179 0.79757 0.83196 4.31% 65.2 318s
34130 2781 0.80151 41 170 0.79757 0.83133 4.23% 66.1 322s
34488 2791 0.80793 39 175 0.79757 0.83055 4.13% 67.1 327s
34917 2851 cutoff 48 0.79757 0.82989 4.05% 68.1 333s
35094 2828 0.80559 50 151 0.79757 0.82958 4.01% 68.5 338s
35507 2863 0.82542 36 164 0.79757 0.82878 3.91% 69.5 343s
35944 2873 0.81352 42 157 0.79757 0.82812 3.83% 70.4 348s
36357 2883 0.82297 44 139 0.79757 0.82736 3.74% 71.3 352s
36707 2867 0.82436 35 179 0.79757 0.82646 3.62% 72.4 357s
37040 2857 0.80071 38 160 0.79757 0.82575 3.53% 73.3 362s
37471 2851 cutoff 59 0.79757 0.82466 3.40% 74.2 366s
37863 2846 cutoff 41 0.79757 0.82388 3.30% 75.2 371s
38220 2852 0.80500 51 138 0.79757 0.82325 3.22% 76.1 375s
38513 2804 cutoff 46 0.79757 0.82203 3.07% 77.1 380s
39225 2768 0.81163 36 175 0.79757 0.82050 2.87% 78.6 388s
39572 2737 cutoff 39 0.79757 0.81969 2.77% 79.6 393s
39913 2692 0.80866 34 164 0.79757 0.81927 2.72% 80.3 397s
40207 2640 0.81125 45 160 0.79757 0.81824 2.59% 81.3 402s
40626 2665 0.80547 41 157 0.79757 0.81786 2.54% 81.9 407s
41072 2676 0.80868 39 154 0.79757 0.81724 2.47% 82.5 410s
41424 2644 0.80279 44 143 0.79757 0.81653 2.38% 83.0 415s
41925 2725 cutoff 41 0.79757 0.81591 2.30% 83.3 420s
42319 2698 0.81387 56 116 0.79757 0.81544 2.24% 83.9 425s
43105 2680 cutoff 61 0.79757 0.81425 2.09% 84.6 434s
43387 2626 cutoff 38 0.79757 0.81399 2.06% 84.9 438s
43798 2597 0.81209 54 124 0.79757 0.81342 1.99% 85.2 442s
44201 2558 cutoff 55 0.79757 0.81293 1.93% 85.3 446s
44655 2620 0.80648 57 104 0.79757 0.81250 1.87% 85.5 450s
45727 2759 0.80780 52 107 0.79757 0.81170 1.77% 85.4 458s
46086 2730 0.80980 57 113 0.79757 0.81149 1.74% 85.7 461s
46986 2823 0.80591 56 108 0.79757 0.81068 1.64% 85.6 467s
47583 3055 cutoff 67 0.79757 0.81040 1.61% 85.1 471s
48472 3091 0.80798 65 106 0.79757 0.80973 1.52% 85.1 477s
49219 3092 0.80913 66 97 0.79757 0.80914 1.45% 84.9 483s
49753 3191 cutoff 67 0.79757 0.80909 1.44% 84.7 486s
50838 3288 cutoff 82 0.79757 0.80841 1.36% 84.1 490s
51562 3265 cutoff 77 0.79757 0.80811 1.32% 84.0 495s
52847 3320 cutoff 62 0.79757 0.80754 1.25% 83.4 502s
53726 3312 0.80723 82 72 0.79757 0.80723 1.21% 83.1 507s
54550 3308 cutoff 91 0.79757 0.80689 1.17% 82.6 510s
55701 3288 cutoff 87 0.79757 0.80633 1.10% 82.0 516s
56499 3307 cutoff 91 0.79757 0.80609 1.07% 81.5 520s
57150 3255 cutoff 65 0.79757 0.80565 1.01% 81.3 525s
Cutting planes:
Gomory: 196
Cover: 5
Implied bound: 41
Projected implied bound: 63
Clique: 2
MIR: 151
StrongCG: 4
Flow cover: 548
Inf proof: 175
Zero half: 3
Explored 57459 nodes (4667642 simplex iterations) in 525.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.79757 0.79757 0.79757 ... 0.793014
Optimal solution found (tolerance 1.00e-02)
Best objective 7.975700728288e-01, best bound 8.054839232344e-01, gap 0.9922%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp30qh644r.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_rnyuoap.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.782894
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.042681e+00, 1044 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04268 0 92 0.78289 1.04268 33.2% - 0s
0 0 1.01178 0 105 0.78289 1.01178 29.2% - 0s
0 0 1.01167 0 107 0.78289 1.01167 29.2% - 0s
0 0 1.00988 0 116 0.78289 1.00988 29.0% - 0s
0 0 1.00941 0 115 0.78289 1.00941 28.9% - 0s
0 0 1.00743 0 119 0.78289 1.00743 28.7% - 0s
0 0 1.00743 0 120 0.78289 1.00743 28.7% - 0s
0 0 1.00702 0 119 0.78289 1.00702 28.6% - 0s
0 0 1.00688 0 119 0.78289 1.00688 28.6% - 0s
0 0 1.00684 0 118 0.78289 1.00684 28.6% - 0s
0 0 1.00684 0 119 0.78289 1.00684 28.6% - 0s
0 0 1.00684 0 113 0.78289 1.00684 28.6% - 0s
0 2 1.00684 0 113 0.78289 1.00684 28.6% - 0s
2948 892 0.83399 44 100 0.78289 0.87922 12.3% 16.2 5s
H 7216 2285 0.7828945 0.85586 9.32% 15.4 9s
7257 2276 0.82431 41 102 0.78289 0.85579 9.31% 15.4 10s
11522 2941 cutoff 37 0.78289 0.84269 7.64% 15.5 15s
14603 3008 0.79311 41 82 0.78289 0.83342 6.45% 15.6 20s
18497 2621 cutoff 52 0.78289 0.82159 4.94% 15.9 25s
21700 2237 0.81295 46 105 0.78289 0.81380 3.95% 15.9 30s
25370 1752 0.80110 56 85 0.78289 0.80408 2.71% 15.4 35s
29442 1450 cutoff 82 0.78289 0.79536 1.59% 14.8 40s
Cutting planes:
Gomory: 18
Implied bound: 2
MIR: 4
Flow cover: 5
Inf proof: 1
Explored 33304 nodes (466845 simplex iterations) in 43.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.782895 0.782894
Optimal solution found (tolerance 1.00e-02)
Best objective 7.828944618290e-01, best bound 7.904365349815e-01, gap 0.9634%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl69issaq.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp59b55c6h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.777716
Presolve removed 676 rows and 438 columns
Presolve time: 0.05s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.032273e+00, 1053 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03227 0 94 0.77772 1.03227 32.7% - 0s
0 0 1.00273 0 115 0.77772 1.00273 28.9% - 0s
0 0 1.00257 0 115 0.77772 1.00257 28.9% - 0s
0 0 1.00032 0 121 0.77772 1.00032 28.6% - 0s
0 0 0.99831 0 125 0.77772 0.99831 28.4% - 0s
0 0 0.99678 0 126 0.77772 0.99678 28.2% - 0s
0 0 0.99677 0 125 0.77772 0.99677 28.2% - 0s
0 0 0.99661 0 126 0.77772 0.99661 28.1% - 0s
0 0 0.99653 0 132 0.77772 0.99653 28.1% - 0s
0 0 0.99653 0 132 0.77772 0.99653 28.1% - 0s
0 0 0.99653 0 132 0.77772 0.99653 28.1% - 0s
0 0 0.99653 0 125 0.77772 0.99653 28.1% - 0s
0 2 0.99653 0 125 0.77772 0.99653 28.1% - 0s
1226 591 0.89366 25 112 0.77772 0.90559 16.4% 22.9 5s
* 2271 657 159 0.7779131 0.87870 13.0% 22.4 7s
3217 1020 0.82797 33 105 0.77791 0.86682 11.4% 22.5 10s
H 4873 1375 0.7779131 0.85198 9.52% 22.4 13s
H 4874 1376 0.7779139 0.85198 9.52% 22.4 13s
5273 1417 0.82659 38 102 0.77791 0.84955 9.21% 22.4 15s
7745 1693 cutoff 35 0.77791 0.83925 7.89% 23.1 20s
10017 1791 0.78737 39 102 0.77791 0.83195 6.95% 23.8 25s
12393 1952 infeasible 39 0.77791 0.82618 6.21% 24.2 30s
15141 2206 0.78454 39 99 0.77791 0.81930 5.32% 24.4 35s
17850 2366 0.81131 65 78 0.77791 0.81131 4.29% 24.6 40s
19675 2116 0.80391 39 91 0.77791 0.80583 3.59% 25.1 45s
21902 2061 0.79702 57 86 0.77791 0.80055 2.91% 25.3 61s
23708 2296 0.79725 87 75 0.77791 0.79771 2.54% 25.3 65s
25870 2593 0.78985 61 93 0.77791 0.79589 2.31% 25.3 70s
27923 2577 cutoff 46 0.77791 0.79341 1.99% 25.5 75s
30042 2343 cutoff 80 0.77791 0.79070 1.64% 25.9 80s
32232 2053 cutoff 111 0.77791 0.78755 1.24% 25.8 85s
Cutting planes:
Learned: 1
Gomory: 142
Cover: 4
Implied bound: 37
Projected implied bound: 48
MIR: 24
Flow cover: 128
Inf proof: 153
Explored 34655 nodes (876434 simplex iterations) in 89.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.777914 0.777913 0.777913 0.777716
Optimal solution found (tolerance 1.00e-02)
Best objective 7.779131258429e-01, best bound 7.852553912779e-01, gap 0.9438%
Run 5
Seed for training 452
Seed for simulation 687
direc: array([[ 0. , 0. , 1. ],
[-110.11331464, 0. , 176.00940773],
[ 0. , 3.98829043, 5.30860109]])
fopt: 0.7263700382908918
fun: -0.7251231964125844
message: 'Optimization terminated successfully.'
nfev: 1123
nit: 12
status: 0
success: True
x: array([171.77534718, 18.06769734, 198. ])
xopt: array([171., 19., 199.])
zopt: array([171., 190., 389.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp93bdls3_.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp23i_hfh.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-06, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.72637
Presolve removed 690 rows and 447 columns
Presolve time: 0.02s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.012882e+00, 1118 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01288 0 117 0.72637 1.01288 39.4% - 0s
0 0 0.95759 0 131 0.72637 0.95759 31.8% - 0s
0 0 0.95759 0 131 0.72637 0.95759 31.8% - 0s
0 0 0.95259 0 131 0.72637 0.95259 31.1% - 0s
0 0 0.95213 0 127 0.72637 0.95213 31.1% - 0s
0 0 0.95202 0 125 0.72637 0.95202 31.1% - 0s
0 0 0.95172 0 126 0.72637 0.95172 31.0% - 0s
0 0 0.95170 0 126 0.72637 0.95170 31.0% - 0s
0 0 0.95170 0 126 0.72637 0.95170 31.0% - 0s
0 0 0.95170 0 126 0.72637 0.95170 31.0% - 0s
0 0 0.95170 0 126 0.72637 0.95170 31.0% - 0s
0 0 0.95170 0 126 0.72637 0.95170 31.0% - 0s
0 0 0.95170 0 95 0.72637 0.95170 31.0% - 0s
0 2 0.95170 0 95 0.72637 0.95170 31.0% - 0s
1150 658 0.86878 22 119 0.72637 0.89676 23.5% 25.1 5s
2802 1003 0.74638 25 127 0.72637 0.87459 20.4% 33.3 10s
H 3258 735 0.7801749 0.87209 11.8% 34.2 12s
4076 972 0.86171 27 121 0.78017 0.86411 10.8% 34.7 15s
5916 1334 0.82756 41 96 0.78017 0.85310 9.35% 36.8 20s
7971 1549 0.80764 23 137 0.78017 0.83840 7.46% 38.0 25s
9745 1746 0.78753 34 123 0.78017 0.82942 6.31% 36.8 30s
11947 2010 infeasible 45 0.78017 0.82340 5.54% 35.6 35s
14437 2441 0.79546 54 102 0.78017 0.81846 4.91% 33.6 40s
H16249 2709 0.7801749 0.81585 4.57% 32.8 44s
H16254 2606 0.7827888 0.81585 4.22% 32.8 44s
16270 2537 cutoff 65 0.78279 0.81506 4.12% 32.8 45s
17966 2598 cutoff 57 0.78279 0.81179 3.70% 32.2 50s
20215 2678 0.79199 30 105 0.78279 0.80824 3.25% 31.2 55s
21116 2780 0.78644 49 98 0.78279 0.80741 3.15% 30.8 70s
23378 2975 0.79871 63 99 0.78279 0.80543 2.89% 30.9 75s
25802 3313 cutoff 35 0.78279 0.80342 2.64% 30.7 80s
28663 3794 0.78345 64 96 0.78279 0.80133 2.37% 29.9 85s
31202 3952 cutoff 38 0.78279 0.79963 2.15% 29.7 90s
33813 4097 0.78757 70 94 0.78279 0.79791 1.93% 29.4 95s
36067 4323 cutoff 75 0.78279 0.79659 1.76% 29.1 100s
38650 4584 0.79493 68 100 0.78279 0.79527 1.59% 28.6 105s
42121 5098 infeasible 87 0.78279 0.79387 1.42% 27.8 110s
*44281 5306 141 0.7833800 0.79323 1.26% 27.2 113s
44840 5365 cutoff 61 0.78338 0.79303 1.23% 27.1 115s
48315 5865 cutoff 74 0.78338 0.79209 1.11% 26.3 120s
*50024 5055 144 0.7850740 0.79174 0.85% 25.9 122s
51867 5174 cutoff 88 0.78507 0.79126 0.79% 25.6 125s
55865 5794 infeasible 61 0.78507 0.79038 0.68% 24.6 130s
*56782 5912 141 0.7851378 0.79028 0.65% 24.4 130s
61205 6931 0.78743 99 80 0.78514 0.78982 0.60% 23.3 135s
*62191 7079 142 0.7851958 0.78969 0.57% 23.0 136s
*62965 6916 139 0.7854102 0.78964 0.54% 22.9 137s
65032 7159 0.78759 116 49 0.78541 0.78942 0.51% 22.5 140s
68938 7205 0.78895 110 62 0.78541 0.78898 0.45% 21.9 145s
72808 7178 cutoff 103 0.78541 0.78862 0.41% 21.3 150s
76373 6856 0.78616 83 74 0.78541 0.78818 0.35% 20.9 155s
79931 6233 0.78675 105 58 0.78541 0.78778 0.30% 20.5 160s
*82104 5836 141 0.7854102 0.78757 0.28% 20.3 163s
83159 5658 cutoff 103 0.78541 0.78746 0.26% 20.2 165s
86342 4760 cutoff 106 0.78541 0.78705 0.21% 19.9 170s
90084 3703 cutoff 130 0.78541 0.78661 0.15% 19.6 175s
93611 1991 cutoff 107 0.78541 0.78608 0.09% 19.3 180s
Cutting planes:
Gomory: 148
Cover: 3
Implied bound: 57
Projected implied bound: 44
MIR: 20
StrongCG: 1
Flow cover: 123
Inf proof: 300
Explored 96245 nodes (1835776 simplex iterations) in 183.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.78541 0.78541 0.785196 ... 0.72637
Optimal solution found (tolerance 0.00e+00)
Best objective 7.854101720276e-01, best bound 7.854101720276e-01, gap 0.0000%
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0uzyd3zs.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppx0xf4cn.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 673 rows and 480 columns
Presolve time: 0.00s
Presolved: 273 rows, 331 columns, 1356 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.1947568e+01 4.843750e+02 0.000000e+00 0s
154 1.4110894e+01 0.000000e+00 0.000000e+00 0s
Solved in 154 iterations and 0.01 seconds
Optimal objective 1.411089388e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06609969, 0.0109562 , 0.0109562 ]])
fopt: 0.7050068507085024
fun: -0.7090738860825011
message: 'Optimization terminated successfully.'
nfev: 147
nit: 2
status: 0
success: True
x: array([13.00000047, -0.9999238 , -0.9999238 ])
xopt: array([13., 0., 0.])
zopt: array([13., 13., 13.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.14612423e-02, 6.01534185e-04, 5.93655806e-04]])
fopt: 1.242349512220603
fun: -1.2541323964389588
message: 'Optimization terminated successfully.'
nfev: 138
nit: 2
status: 0
success: True
x: array([38.19065024, -0.96081851, -0.99405456])
xopt: array([38., 0., 0.])
zopt: array([38., 38., 38.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.76373718e-02, 2.97434315e-02, 6.03922354e-04]])
fopt: 1.1667862750459677
fun: -1.1761996148925289
message: 'Optimization terminated successfully.'
nfev: 191
nit: 3
status: 0
success: True
x: array([ 54.31327536, -86.98568904, -0.9998588 ])
xopt: array([54., 0., 0.])
zopt: array([54., 54., 54.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.40587719e-04, 1.19217175e-05, 5.36392649e-04]])
fopt: 1.428182096315874
fun: -1.4336922279787006
message: 'Optimization terminated successfully.'
nfev: 189
nit: 2
status: 0
success: True
x: array([ 74.91302371, -0.99998808, -87.99526483])
xopt: array([75., 0., 0.])
zopt: array([75., 75., 75.])
*******************************************
Period: 5
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.18995356, 0.00209654, -0.00373514]])
fopt: 1.42249996542765
fun: -1.4234132834905886
message: 'Optimization terminated successfully.'
nfev: 320
nit: 3
status: 0
success: True
x: array([91.79316296, 2.00209654, -0.69632628])
xopt: array([91., 2., 0.])
zopt: array([91., 93., 93.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.66908240e-08, -1.34332725e-14, -0.00000000e+00]])
fopt: 1.4100442598793745
fun: -1.414502918705169
message: 'Optimization terminated successfully.'
nfev: 284
nit: 2
status: 0
success: True
x: array([114.22639818, 1.00004145, 1. ])
xopt: array([114., 1., 1.])
zopt: array([114., 115., 116.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1478
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[-4.90413284e-01, -5.14942816e-04, -8.68245336e-13],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.69458604e-03, -3.88086016e-06, -1.30292485e-02]])
fopt: 1.1013379895388897
fun: -1.1046574526292554
message: 'Optimization terminated successfully.'
nfev: 471
nit: 4
status: 0
success: True
x: array([138.06236152, 1.14386726, -0.74251942])
xopt: array([138., 1., 0.])
zopt: array([138., 139., 139.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1517
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 0., 1.],
[0., 0., 0.]])
fopt: 0.9135086326030715
fun: -0.9149825110873281
message: 'Optimization terminated successfully.'
nfev: 266
nit: 3
status: 0
success: True
x: array([193.9997752 , 2.00001793, -0.98707017])
xopt: array([193., 3., 0.])
zopt: array([193., 196., 196.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8262451935410695
fun: -0.8297211561706028
message: 'Optimization terminated successfully.'
nfev: 291
nit: 3
status: 0
success: True
x: array([216.00004377, 2.00666813, 1.00000064])
xopt: array([216., 2., 1.])
zopt: array([216., 218., 219.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[64.97137429, 0.381966 , 0.76393201]])
fopt: 0.7627854084618637
fun: -0.7645354978290606
message: 'Optimization terminated successfully.'
nfev: 387
nit: 4
status: 0
success: True
x: array([236.09013811, 2.06435807, 3.00025274])
xopt: array([236., 2., 3.])
zopt: array([236., 238., 241.])
*******************************************
Period: 13
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 5.13434507, 4.84821785, 20.0253885 ]])
fopt: 0.8151203079516088
fun: -0.8097408776530426
message: 'Optimization terminated successfully.'
nfev: 529
nit: 6
status: 0
success: True
x: array([222.99772478, 7.48475576, 27.06393375])
xopt: array([222., 7., 28.])
zopt: array([222., 229., 257.])
*******************************************
Period: 14
direc: array([[ 1.70443896e-02, 7.01172104e+00, 6.32466133e+01],
[-1.40837074e-07, 9.99999999e-01, -1.65596248e-09],
[-0.00000000e+00, -8.58420885e-08, -0.00000000e+00]])
fopt: 1.0179808061566906
fun: -1.0196091905031068
message: 'Optimization terminated successfully.'
nfev: 1063
nit: 10
status: 0
success: True
x: array([171.12086456, 19.01152211, 75.2647824 ])
xopt: array([171., 20., 75.])
zopt: array([171., 191., 266.])
*******************************************
Period: 15
direc: array([[2.22899598e-02, 1.31042431e-04, 2.62084864e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.96565717e+00, 4.03418905e+01, 8.16979418e+01]])
fopt: 1.0295646366189746
fun: -1.0272776121700544
message: 'Optimization terminated successfully.'
nfev: 298
nit: 4
status: 0
success: True
x: array([172.12729301, 43.32595637, 86.75643833])
xopt: array([172., 43., 86.])
zopt: array([172., 215., 301.])
*******************************************
Period: 16
direc: array([[-4.17772769, 2.03932829, 1.99773746],
[ 0. , 1. , 0. ],
[18.36822553, 22.19408588, 18.70408456]])
fopt: 1.2219144269284226
fun: -1.2238446576794009
message: 'Optimization terminated successfully.'
nfev: 530
nit: 7
status: 0
success: True
x: array([ 85.99713795, 118.01582736, 110.02263183])
xopt: array([ 86., 118., 110.])
zopt: array([ 86., 204., 314.])
*******************************************
Period: 17
direc: array([[ 1.33232146e-01, 4.71462068e+01, 9.73070176e+01],
[ 1.72767200e-02, -7.78552694e-03, 2.04206485e-04],
[ 0.00000000e+00, 2.01414858e+01, 0.00000000e+00]])
fopt: 1.142001643957142
fun: -1.1396775643668906
message: 'Optimization terminated successfully.'
nfev: 2078
nit: 21
status: 0
success: True
x: array([ 94.58146595, 113.00031335, 125.74466496])
xopt: array([ 94., 114., 125.])
zopt: array([ 94., 208., 333.])
*******************************************
Period: 18
direc: array([[2.11836647e-05, 1.24665614e-07, 2.60660083e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.88744870e-04, 4.80439673e+01, 9.37327928e+01]])
fopt: 0.8859706790967647
fun: -0.8808822281977251
message: 'Optimization terminated successfully.'
nfev: 361
nit: 4
status: 0
success: True
x: array([169.85435662, 51.03763412, 98.76148122])
xopt: array([169., 51., 99.])
zopt: array([169., 220., 319.])
*******************************************
Period: 19
direc: array([[-3.36441898e-07, -2.08225911e-09, -4.03729914e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.72740110e-08, -7.55649691e-02, -1.60216252e-01]])
fopt: 0.8373993336551546
fun: -0.8344812548065857
message: 'Optimization terminated successfully.'
nfev: 392
nit: 5
status: 0
success: True
x: array([170.43408612, 45.00283852, 103.02648018])
xopt: array([170., 45., 104.])
zopt: array([170., 215., 319.])
*******************************************
Period: 20
direc: array([[ 1.19782674e+01, 3.90608865e+01, 9.02422010e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.96942100e-02, 2.97873699e-02, -1.08137253e-03]])
fopt: 0.7754141090102463
fun: -0.772450928454496
message: 'Optimization terminated successfully.'
nfev: 474
nit: 6
status: 0
success: True
x: array([171.8866561 , 47.01689124, 100.07113768])
xopt: array([171., 47., 101.])
zopt: array([171., 218., 319.])
*******************************************
Period: 21
direc: array([[ 6.79353302e-03, 3.97541834e-05, 8.05282482e-05],
[ 7.04296009e-06, 1.08538562e-02, -4.02576346e+00],
[-1.06621940e-11, -1.82882646e-03, -2.35462036e-14]])
fopt: 0.9776318554719075
fun: -0.9772443314310814
message: 'Optimization terminated successfully.'
nfev: 981
nit: 13
status: 0
success: True
x: array([106. , 100.00000001, 210. ])
xopt: array([105., 101., 210.])
zopt: array([105., 206., 416.])
*******************************************
Period: 22
direc: array([[ 1.74360389e-01, 3.61296119e+01, 1.03642945e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.42834431e-04, -4.27726511e-05, 7.25828744e-06]])
fopt: 0.9225586204491658
fun: -0.9220695324331253
message: 'Optimization terminated successfully.'
nfev: 882
nit: 9
status: 0
success: True
x: array([123.91170544, 84. , 210.00062016])
xopt: array([123., 84., 211.])
zopt: array([123., 207., 418.])
*******************************************
Period: 23
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-146.77885983, 31.08599732, 56.69314016]])
fopt: 0.6652680764992603
fun: -0.6615989111558578
message: 'Optimization terminated successfully.'
nfev: 327
nit: 5
status: 0
success: True
x: array([91.9681433 , 47.00746852, 84.22038107])
xopt: array([91., 48., 85.])
zopt: array([ 91., 139., 224.])
*******************************************
Period: 24
direc: array([[ 8.76169205e+00, 4.30825221e+01, 8.98454277e+01],
[-8.13031104e-09, 4.32793649e-09, 2.66981491e-09],
[-8.79583979e-08, -2.37366414e-02, -7.29874159e-07]])
fopt: 0.7429024237048296
fun: -0.7408121725209882
message: 'Optimization terminated successfully.'
nfev: 557
nit: 6
status: 0
success: True
x: array([163.4482442 , 52.3898342 , 104.03597755])
xopt: array([163., 52., 105.])
zopt: array([163., 215., 320.])
*******************************************
Period: 25
direc: array([[1.16291786e-02, 6.87938703e-05, 1.40435305e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.87229604e-01, 7.62986515e+01, 1.66832264e+02]])
fopt: 0.9487321444219506
fun: -0.9462439695283525
message: 'Optimization terminated successfully.'
nfev: 841
nit: 10
status: 0
success: True
x: array([ 98. , 110. , 212.88863161])
xopt: array([ 97., 111., 212.])
zopt: array([ 97., 208., 420.])
*******************************************
Period: 26
direc: array([[ -4.9444258 , 2.05910401, 1.979367 ],
[ 0. , 1. , 0. ],
[ 0.45803078, 46.29536995, 110.64360269]])
fopt: 0.9292796036590998
fun: -0.9252976014087824
message: 'Optimization terminated successfully.'
nfev: 502
nit: 7
status: 0
success: True
x: array([ 84.93572968, 124. , 200.24405859])
xopt: array([ 85., 124., 201.])
zopt: array([ 85., 209., 410.])
*******************************************
Period: 27
direc: array([[-1.56786123e+00, -7.47647437e-05, -2.06839706e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.60405450e+00, 5.00480994e+00, 4.90485454e+00]])
fopt: 0.6685917316936504
fun: -0.6674671392376406
message: 'Optimization terminated successfully.'
nfev: 451
nit: 6
status: 0
success: True
x: array([84.99548092, 54.04245474, 60.14966749])
xopt: array([85., 54., 61.])
zopt: array([ 85., 139., 200.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -5.29648682e-02, 1.21684259e+02],
[ 0.00000000e+00, 1.11340672e+01, 1.58305970e+01]])
fopt: 0.8184991854890089
fun: -0.8156090315728491
message: 'Optimization terminated successfully.'
nfev: 535
nit: 8
status: 0
success: True
x: array([170.71631815, 25.00000024, 209.0000769 ])
xopt: array([171., 26., 210.])
zopt: array([171., 197., 407.])
*******************************************
Period: 29
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 2.07565642e-17, -1.40110615e-06]])
fopt: 0.5097312887097689
fun: -0.5087786401639919
message: 'Optimization terminated successfully.'
nfev: 348
nit: 4
status: 0
success: True
x: array([170.12962354, 1.14589803, 5.00677682])
xopt: array([170., 1., 6.])
zopt: array([170., 171., 177.])
*******************************************
Period: 30
direc: array([[1.02536341e-02, 6.08094400e-05, 1.22208228e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.31187862e-02, 1.58852771e-04, 2.25496749e+00]])
fopt: 0.7931500375450946
fun: -0.7930410596608667
message: 'Optimization terminated successfully.'
nfev: 481
nit: 5
status: 0
success: True
x: array([171.51572636, 3.01302269, 187.04686966])
xopt: array([171., 4., 188.])
zopt: array([171., 175., 363.])
*******************************************
Period: 31
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 8.60750886e-02, 1.92408666e+02]])
fopt: 0.7990736965234174
fun: -0.7993108700011294
message: 'Optimization terminated successfully.'
nfev: 385
nit: 5
status: 0
success: True
x: array([181.10108469, 1.00276456, 195.00794684])
xopt: array([181., 2., 196.])
zopt: array([181., 183., 379.])
*******************************************
Period: 32
direc: array([[-1.73539039e+01, -8.77387873e-02, -1.76201923e-01],
[ 0.00000000e+00, 5.05526152e+00, 5.05526152e+00],
[-2.62102040e-19, -4.79577710e-11, -2.66065766e-21]])
fopt: 0.8136028352179867
fun: -0.8143974958433209
message: 'Optimization terminated successfully.'
nfev: 1391
nit: 15
status: 0
success: True
x: array([172. , 32. , 212.03821272])
xopt: array([171., 32., 212.])
zopt: array([171., 203., 415.])
*******************************************
Period: 33
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-71.38905064, 12.05072239, 24.43478182]])
fopt: 0.5979712944381177
fun: -0.595538754403477
message: 'Optimization terminated successfully.'
nfev: 324
nit: 5
status: 0
success: True
x: array([165.99792582, 16.00201456, 31.491728 ])
xopt: array([165., 16., 32.])
zopt: array([165., 181., 213.])
*******************************************
Period: 34
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-78.26188824, 0. , 103.46686519]])
fopt: 0.7380706528636649
fun: -0.7373008724497729
message: 'Optimization terminated successfully.'
nfev: 383
nit: 5
status: 0
success: True
x: array([179.28675815, 2.14589803, 110.01607916])
xopt: array([179., 2., 111.])
zopt: array([179., 181., 292.])
*******************************************
Period: 35
direc: array([[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.40844721e-04, 8.42153897e-04, 7.78918597e-03]])
fopt: 0.580178364178744
fun: -0.5796736585024536
message: 'Optimization terminated successfully.'
nfev: 674
nit: 10
status: 0
success: True
x: array([265.7076296 , 4.00081827, 49.53272824])
xopt: array([265., 4., 50.])
zopt: array([265., 269., 319.])
*******************************************
Period: 36
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-157.57874387, 156.91007087, 101.98407931]])
fopt: 0.7684939732505118
fun: -0.7694245510936578
message: 'Optimization terminated successfully.'
nfev: 458
nit: 7
status: 0
success: True
x: array([ 89.9985941 , 199.0012339 , 131.01874275])
xopt: array([ 89., 199., 132.])
zopt: array([ 89., 288., 420.])
*******************************************
Period: 37
direc: array([[-9.06909224, 16.1006836 , 11.01217671],
[ 0. , 1. , 0. ],
[ 8.42383246, 14.86961446, 6.29598076]])
fopt: 0.8084346259002627
fun: -0.8088532846527072
message: 'Optimization terminated successfully.'
nfev: 586
nit: 9
status: 0
success: True
x: array([ 85.52227453, 139. , 89.0204295 ])
xopt: array([ 85., 139., 89.])
zopt: array([ 85., 224., 313.])
*******************************************
Period: 38
direc: array([[-0. , -0. , 0. ],
[ 0. , 1. , 0. ],
[-0.99999998, -0.00600181, 1. ]])
fopt: 0.47934886129312343
fun: -0.4811761338131854
message: 'Optimization terminated successfully.'
nfev: 500
nit: 6
status: 0
success: True
x: array([312.00054972, 2.00283318, 7.0000001 ])
xopt: array([312., 2., 8.])
zopt: array([312., 314., 322.])
*******************************************
Period: 39
direc: array([[-1.16962612e+00, -1.87414329e-04, -1.21475909e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.18851283e-17, 3.54916172e-15, 6.48904872e-18]])
fopt: 0.4642444541759079
fun: -0.4659250590359459
message: 'Optimization terminated successfully.'
nfev: 653
nit: 7
status: 0
success: True
x: array([309.20920224, 2.00128152, 8.00154705])
xopt: array([309., 2., 9.])
zopt: array([309., 311., 320.])
*******************************************
Period: 40
direc: array([[-1.20975933e+00, -4.68307815e-07, 1.16948028e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.44463690409375123
fun: -0.44555322241208994
message: 'Optimization terminated successfully.'
nfev: 500
nit: 6
status: 0
success: True
x: array([312.25397137, 3.0809719 , 6.16948028])
xopt: array([312., 3., 7.])
zopt: array([312., 315., 322.])
*******************************************
Period: 41
direc: array([[-0., -0., 0.],
[ 0., 1., 0.],
[-0., -0., 0.]])
fopt: 0.43049017026713027
fun: -0.43342382136778146
message: 'Optimization terminated successfully.'
nfev: 557
nit: 7
status: 0
success: True
x: array([314.54938211, -2.3548258 , 7.00000065])
xopt: array([314., 0., 8.])
zopt: array([314., 314., 322.])
*******************************************
Period: 42
direc: array([[1.37347430e+02, 6.21123901e-03, 7.63932010e-01],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.07961857e-03, 4.07929767e-07, 4.98660050e-01]])
fopt: 0.42428486366192536
fun: -0.42650594232279126
message: 'Optimization terminated successfully.'
nfev: 563
nit: 6
status: 0
success: True
x: array([311.03504012, -0.97391708, 9.11345611])
xopt: array([311., 0., 10.])
zopt: array([311., 311., 321.])
*******************************************
Period: 43
direc: array([[ 1.35055379e+02, 1.09994123e-01, 7.53910976e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.21706031e-03, -1.29068573e-04, 9.99987624e-01]])
fopt: 0.41602926988916267
fun: -0.4172373573591356
message: 'Optimization terminated successfully.'
nfev: 330
nit: 4
status: 0
success: True
x: array([ 3.15190636e+02, -1.88106299e-01, 6.33478941e+00])
xopt: array([315., 0., 7.])
zopt: array([315., 315., 322.])
*******************************************
Period: 44
direc: array([[ 1.35168660e+02, 7.56292690e-01, 7.56292690e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.64538991e-07, 3.99371327e-09, -1.80621100e-02]])
fopt: 0.4113162468299494
fun: -0.4129944540740896
message: 'Optimization terminated successfully.'
nfev: 417
nit: 5
status: 0
success: True
x: array([ 3.12041076e+02, -2.99976944e-02, 7.10422639e+00])
xopt: array([312., 0., 8.])
zopt: array([312., 312., 320.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo8bqk7lk.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1u7g09c6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.215569
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 0.705007 0.215569
Optimal solution found (tolerance 1.00e-02)
Best objective 7.050068507085e-01, best bound 7.050068507085e-01, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsu7aq1ou.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeli5kh_b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.157878
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.242350e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.2423495 1.24235 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.24235 0.157878
Optimal solution found (tolerance 1.00e-02)
Best objective 1.242349512221e+00, best bound 1.242349512221e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppew5a88l.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl_83g813.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.542729
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 1.166786e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.1667863 1.16679 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.16679 0.542729
Optimal solution found (tolerance 1.00e-02)
Best objective 1.166786275046e+00, best bound 1.166786275046e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp96qaiw9.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6m1tz5xb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.680117
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 1.835724e+00, 42 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83572 0 3 0.68012 1.83572 170% - 0s
H 0 0 1.4237758 1.83572 28.9% - 0s
H 0 0 1.4281821 1.83572 28.5% - 0s
0 0 1.55079 0 1 1.42818 1.55079 8.58% - 0s
0 0 1.55074 0 4 1.42818 1.55074 8.58% - 0s
0 0 1.50828 0 4 1.42818 1.50828 5.61% - 0s
0 0 1.50768 0 6 1.42818 1.50768 5.57% - 0s
0 0 1.50611 0 6 1.42818 1.50611 5.46% - 0s
0 0 1.50581 0 6 1.42818 1.50581 5.44% - 0s
0 0 cutoff 0 1.42818 1.42818 0.00% - 0s
Cutting planes:
Implied bound: 1
MIR: 3
Flow cover: 3
Explored 1 nodes (80 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.42818 1.42378 0.680117
Optimal solution found (tolerance 1.00e-02)
Best objective 1.428182096316e+00, best bound 1.428182096316e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_aahnrk8.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6h3wrxmj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.958752
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 1.963781e+00, 60 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96378 0 4 0.95875 1.96378 105% - 0s
H 0 0 1.4852827 1.96378 32.2% - 0s
0 0 1.54097 0 1 1.48528 1.54097 3.75% - 0s
0 0 1.54097 0 2 1.48528 1.54097 3.75% - 0s
0 0 cutoff 0 1.48528 1.48528 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 5
Explored 1 nodes (92 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.48528 0.958752
Optimal solution found (tolerance 1.00e-02)
Best objective 1.485282740848e+00, best bound 1.485282740848e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps4xf64rr.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_wwuskq3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11445
Presolve removed 157 rows and 107 columns
Presolve time: 0.01s
Presolved: 126 rows, 101 columns, 428 nonzeros
Variable types: 50 continuous, 51 integer (47 binary)
Root relaxation: objective 2.046894e+00, 79 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04689 0 4 1.11445 2.04689 83.7% - 0s
H 0 0 1.5972172 2.04689 28.2% - 0s
0 0 cutoff 0 1.59722 1.59722 0.00% - 0s
Cutting planes:
Gomory: 2
Flow cover: 4
Explored 1 nodes (107 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.59722 1.11445
Optimal solution found (tolerance 1.00e-02)
Best objective 1.597217244901e+00, best bound 1.597217244901e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7r5aoz0p.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphxom5c7k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28017
Presolve removed 165 rows and 111 columns
Presolve time: 0.01s
Presolved: 164 rows, 130 columns, 561 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 2.062690e+00, 99 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06269 0 9 1.28017 2.06269 61.1% - 0s
H 0 0 1.5249215 2.06269 35.3% - 0s
0 0 1.91990 0 12 1.52492 1.91990 25.9% - 0s
0 0 1.57822 0 4 1.52492 1.57822 3.50% - 0s
0 0 1.54854 0 1 1.52492 1.54854 1.55% - 0s
H 0 0 1.5398020 1.54854 0.57% - 0s
Cutting planes:
Gomory: 6
Implied bound: 1
Flow cover: 9
Explored 1 nodes (168 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.5398 1.52492 1.28017
Optimal solution found (tolerance 1.00e-02)
Best objective 1.539802040347e+00, best bound 1.548543086910e+00, gap 0.5677%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3ml8d6rv.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv4hg7dd_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.33334
Presolve removed 205 rows and 139 columns
Presolve time: 0.01s
Presolved: 170 rows, 135 columns, 589 nonzeros
Variable types: 70 continuous, 65 integer (62 binary)
Root relaxation: objective 1.770357e+00, 109 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77036 0 8 1.33334 1.77036 32.8% - 0s
0 0 1.34926 0 2 1.33334 1.34926 1.19% - 0s
0 0 cutoff 0 1.33334 1.33334 0.00% - 0s
Cutting planes:
Gomory: 6
Implied bound: 1
MIR: 1
Flow cover: 4
Explored 1 nodes (149 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.33334
Optimal solution found (tolerance 1.00e-02)
Best objective 1.333335163913e+00, best bound 1.333335163913e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp33m0wvql.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp6lvloec.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16971
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.858382e+00, 150 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85838 0 15 1.16971 1.85838 58.9% - 0s
0 0 1.60176 0 20 1.16971 1.60176 36.9% - 0s
0 0 1.49751 0 9 1.16971 1.49751 28.0% - 0s
0 0 1.49751 0 9 1.16971 1.49751 28.0% - 0s
0 0 1.49716 0 9 1.16971 1.49716 28.0% - 0s
0 0 1.49716 0 9 1.16971 1.49716 28.0% - 0s
H 0 0 1.2558100 1.49716 19.2% - 0s
0 2 1.49716 0 9 1.25581 1.49716 19.2% - 0s
* 15 4 8 1.2621044 1.43427 13.6% 4.5 0s
* 28 2 11 1.3519247 1.39141 2.92% 4.1 0s
* 29 2 11 1.3914083 1.39141 0.00% 4.0 0s
Cutting planes:
Gomory: 11
Implied bound: 6
MIR: 1
Flow cover: 13
Explored 32 nodes (379 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.39141 1.35192 1.2621 ... 1.16971
Optimal solution found (tolerance 1.00e-02)
Best objective 1.391408315939e+00, best bound 1.391408315939e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm5ao_9oo.pyomo.lp
Reading time = 0.01 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyyiu58vv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2082
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.761666e+00, 171 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76167 0 16 1.20820 1.76167 45.8% - 0s
0 0 1.47224 0 21 1.20820 1.47224 21.9% - 0s
0 0 1.42937 0 14 1.20820 1.42937 18.3% - 0s
0 0 1.42925 0 13 1.20820 1.42925 18.3% - 0s
0 0 1.42911 0 13 1.20820 1.42911 18.3% - 0s
0 0 1.42911 0 11 1.20820 1.42911 18.3% - 0s
H 0 0 1.2288554 1.42911 16.3% - 0s
H 0 0 1.2288554 1.42911 16.3% - 0s
0 2 1.42911 0 11 1.22886 1.42911 16.3% - 0s
* 24 2 11 1.2323858 1.35897 10.3% 5.2 0s
* 25 2 11 1.2965490 1.35897 4.81% 5.2 0s
Cutting planes:
Gomory: 9
Implied bound: 4
MIR: 1
Flow cover: 15
Explored 30 nodes (461 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.29655 1.23239 1.22886 ... 1.2082
Optimal solution found (tolerance 1.00e-02)
Best objective 1.296548994213e+00, best bound 1.296548994213e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf5z_d1_m.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2rhj3spn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11232
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.792017e+00, 192 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79202 0 18 1.11232 1.79202 61.1% - 0s
0 0 1.46654 0 10 1.11232 1.46654 31.8% - 0s
0 0 1.46618 0 11 1.11232 1.46618 31.8% - 0s
0 0 1.46618 0 11 1.11232 1.46618 31.8% - 0s
0 0 1.46618 0 9 1.11232 1.46618 31.8% - 0s
H 0 0 1.2507569 1.46618 17.2% - 0s
0 2 1.46618 0 9 1.25076 1.46618 17.2% - 0s
* 50 5 18 1.2856772 1.38850 8.00% 6.3 0s
Cutting planes:
Gomory: 7
Implied bound: 1
Flow cover: 10
Explored 62 nodes (664 simplex iterations) in 0.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.28568 1.25076 1.11232
Optimal solution found (tolerance 1.00e-02)
Best objective 1.285677188044e+00, best bound 1.285677188044e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp52u2b9sm.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl6_jy6kh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11275
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.832698e+00, 218 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83270 0 25 1.11275 1.83270 64.7% - 0s
0 0 1.55885 0 25 1.11275 1.55885 40.1% - 0s
0 0 1.51098 0 26 1.11275 1.51098 35.8% - 0s
0 0 1.49894 0 25 1.11275 1.49894 34.7% - 0s
0 0 1.49616 0 30 1.11275 1.49616 34.5% - 0s
0 0 1.49605 0 29 1.11275 1.49605 34.4% - 0s
0 0 1.49357 0 29 1.11275 1.49357 34.2% - 0s
0 0 1.49352 0 29 1.11275 1.49352 34.2% - 0s
0 0 1.49307 0 27 1.11275 1.49307 34.2% - 0s
0 0 1.49307 0 27 1.11275 1.49307 34.2% - 0s
0 0 1.49307 0 27 1.11275 1.49307 34.2% - 0s
0 0 1.49307 0 21 1.11275 1.49307 34.2% - 0s
0 2 1.49307 0 21 1.11275 1.49307 34.2% - 0s
* 59 24 20 1.2862640 1.39310 8.31% 6.4 0s
* 127 13 20 1.2984995 1.33480 2.80% 5.3 0s
Cutting planes:
Gomory: 8
Implied bound: 6
MIR: 5
Flow cover: 20
Explored 157 nodes (1241 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.2985 1.28626 1.11275
Optimal solution found (tolerance 1.00e-02)
Best objective 1.298499512498e+00, best bound 1.298499512498e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3o1rs5rh.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpozqhtiyp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15089
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.785351e+00, 232 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78535 0 23 1.15089 1.78535 55.1% - 0s
0 0 1.47290 0 27 1.15089 1.47290 28.0% - 0s
0 0 1.47206 0 27 1.15089 1.47206 27.9% - 0s
0 0 1.47206 0 24 1.15089 1.47206 27.9% - 0s
H 0 0 1.1700600 1.47206 25.8% - 0s
0 2 1.47206 0 24 1.17006 1.47206 25.8% - 0s
* 77 43 27 1.2392750 1.35265 9.15% 4.8 0s
* 160 23 25 1.2463498 1.28810 3.35% 5.3 0s
* 196 2 23 1.2509435 1.25279 0.15% 5.3 0s
Cutting planes:
Gomory: 11
Implied bound: 2
Flow cover: 12
Explored 197 nodes (1432 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.25094 1.24635 1.23927 ... 1.15089
Optimal solution found (tolerance 1.00e-02)
Best objective 1.250943468830e+00, best bound 1.252793360202e+00, gap 0.1479%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpglvqzp88.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiv1rw2pz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1259
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.779956e+00, 254 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77996 0 26 1.12590 1.77996 58.1% - 0s
0 0 1.49654 0 29 1.12590 1.49654 32.9% - 0s
0 0 1.49654 0 29 1.12590 1.49654 32.9% - 0s
0 0 1.47421 0 30 1.12590 1.47421 30.9% - 0s
0 0 1.47421 0 30 1.12590 1.47421 30.9% - 0s
0 0 1.47421 0 30 1.12590 1.47421 30.9% - 0s
0 0 1.47421 0 27 1.12590 1.47421 30.9% - 0s
0 2 1.47421 0 27 1.12590 1.47421 30.9% - 0s
* 81 44 30 1.2463729 1.36340 9.39% 5.5 0s
* 250 17 26 1.2572080 1.29422 2.94% 5.3 0s
Cutting planes:
Gomory: 12
Implied bound: 8
MIR: 1
Flow cover: 14
Inf proof: 1
Explored 308 nodes (2157 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.25721 1.24637 1.1259
Optimal solution found (tolerance 1.00e-02)
Best objective 1.257207959805e+00, best bound 1.257207959805e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphtb3_ksk.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8c64o8tm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11945
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.785834e+00, 296 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78583 0 28 1.11945 1.78583 59.5% - 0s
0 0 1.51696 0 31 1.11945 1.51696 35.5% - 0s
0 0 1.49437 0 34 1.11945 1.49437 33.5% - 0s
0 0 1.47956 0 31 1.11945 1.47956 32.2% - 0s
0 0 1.47952 0 31 1.11945 1.47952 32.2% - 0s
0 0 1.47952 0 31 1.11945 1.47952 32.2% - 0s
0 0 1.47889 0 30 1.11945 1.47889 32.1% - 0s
0 0 1.47889 0 30 1.11945 1.47889 32.1% - 0s
0 2 1.47889 0 28 1.11945 1.47889 32.1% - 0s
* 222 77 44 1.2319860 1.32862 7.84% 5.8 0s
* 496 32 34 1.2486238 1.27674 2.25% 5.5 0s
Cutting planes:
Gomory: 11
Cover: 3
Implied bound: 12
MIR: 1
Flow cover: 20
Inf proof: 2
Explored 560 nodes (3546 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.24862 1.23199 1.11945
Optimal solution found (tolerance 1.00e-02)
Best objective 1.248623783120e+00, best bound 1.255314122577e+00, gap 0.5358%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx_d2r_y8.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl9gy00bj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12649
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.764844e+00, 332 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76484 0 30 1.12649 1.76484 56.7% - 0s
0 0 1.49096 0 33 1.12649 1.49096 32.4% - 0s
0 0 1.46929 0 33 1.12649 1.46929 30.4% - 0s
0 0 1.45357 0 32 1.12649 1.45357 29.0% - 0s
0 0 1.45354 0 33 1.12649 1.45354 29.0% - 0s
0 0 1.45354 0 33 1.12649 1.45354 29.0% - 0s
0 0 1.45354 0 31 1.12649 1.45354 29.0% - 0s
0 2 1.45354 0 31 1.12649 1.45354 29.0% - 0s
* 969 177 39 1.1748320 1.26895 8.01% 6.2 0s
* 991 161 37 1.2016025 1.26895 5.60% 6.2 0s
* 1069 148 36 1.2146689 1.26718 4.32% 6.1 0s
* 1173 93 40 1.2191836 1.25283 2.76% 6.2 0s
* 1238 77 34 1.2269267 1.25038 1.91% 6.1 0s
Cutting planes:
Gomory: 15
Cover: 3
Implied bound: 22
MIR: 1
Flow cover: 25
Inf proof: 19
Network: 1
Explored 1405 nodes (8958 simplex iterations) in 0.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.22693 1.21918 1.21467 ... 1.12649
Optimal solution found (tolerance 1.00e-02)
Best objective 1.226926729924e+00, best bound 1.227819185527e+00, gap 0.0727%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfeze974l.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxrofmp8d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14359
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.666772e+00, 370 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66677 0 31 1.14359 1.66677 45.7% - 0s
0 0 1.38341 0 27 1.14359 1.38341 21.0% - 0s
0 0 1.38341 0 27 1.14359 1.38341 21.0% - 0s
0 0 1.35122 0 30 1.14359 1.35122 18.2% - 0s
0 0 1.35096 0 29 1.14359 1.35096 18.1% - 0s
0 0 1.35096 0 27 1.14359 1.35096 18.1% - 0s
0 2 1.35096 0 26 1.14359 1.35096 18.1% - 0s
* 326 78 40 1.1445277 1.21636 6.28% 6.1 0s
* 396 54 39 1.1502041 1.20026 4.35% 6.2 0s
Cutting planes:
Gomory: 15
Cover: 1
Implied bound: 9
MIR: 2
Flow cover: 22
Inf proof: 5
Explored 587 nodes (4192 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.1502 1.14453 1.14359
Optimal solution found (tolerance 1.00e-02)
Best objective 1.150204066491e+00, best bound 1.150204066491e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1b2ktq31.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsc7p46yt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08137
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.572446e+00, 365 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57245 0 32 1.08137 1.57245 45.4% - 0s
0 0 1.28961 0 27 1.08137 1.28961 19.3% - 0s
0 0 1.27041 0 31 1.08137 1.27041 17.5% - 0s
0 0 1.26884 0 29 1.08137 1.26884 17.3% - 0s
0 0 1.26779 0 29 1.08137 1.26779 17.2% - 0s
0 0 1.26779 0 29 1.08137 1.26779 17.2% - 0s
0 0 1.26779 0 25 1.08137 1.26779 17.2% - 0s
0 2 1.26779 0 24 1.08137 1.26779 17.2% - 0s
Cutting planes:
Gomory: 14
Implied bound: 9
MIR: 3
Flow cover: 27
Inf proof: 7
Explored 452 nodes (3281 simplex iterations) in 0.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.08137
Optimal solution found (tolerance 1.00e-02)
Best objective 1.081373971850e+00, best bound 1.090902143208e+00, gap 0.8811%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprps5x5u3.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdivoqvzu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01121
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.565953e+00, 391 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56595 0 40 1.01121 1.56595 54.9% - 0s
0 0 1.27646 0 38 1.01121 1.27646 26.2% - 0s
0 0 1.27609 0 38 1.01121 1.27609 26.2% - 0s
0 0 1.27609 0 35 1.01121 1.27609 26.2% - 0s
0 2 1.27609 0 35 1.01121 1.27609 26.2% - 0s
* 643 232 52 1.0451498 1.15399 10.4% 7.0 0s
Cutting planes:
Gomory: 19
Cover: 21
Implied bound: 34
MIR: 2
Flow cover: 27
Inf proof: 58
Explored 5544 nodes (39823 simplex iterations) in 2.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.04515 1.01121
Optimal solution found (tolerance 1.00e-02)
Best objective 1.045149787307e+00, best bound 1.049592818844e+00, gap 0.4251%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdtr8v06i.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa_vbm6wu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.957527
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.542064e+00, 422 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54206 0 43 0.95753 1.54206 61.0% - 0s
0 0 1.29455 0 38 0.95753 1.29455 35.2% - 0s
0 0 1.27575 0 43 0.95753 1.27575 33.2% - 0s
0 0 1.25160 0 38 0.95753 1.25160 30.7% - 0s
0 0 1.25120 0 38 0.95753 1.25120 30.7% - 0s
0 0 1.25120 0 38 0.95753 1.25120 30.7% - 0s
0 0 1.25120 0 38 0.95753 1.25120 30.7% - 0s
0 2 1.25120 0 37 0.95753 1.25120 30.7% - 0s
H 2203 460 1.0194446 1.10921 8.80% 8.6 1s
Cutting planes:
Gomory: 49
Cover: 10
Implied bound: 7
Projected implied bound: 5
MIR: 7
Flow cover: 43
Inf proof: 13
Explored 3353 nodes (35055 simplex iterations) in 3.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.01944 0.957527
Optimal solution found (tolerance 1.00e-02)
Best objective 1.019444648703e+00, best bound 1.029126893381e+00, gap 0.9498%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpecdavkyl.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg8pkf4h8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939242
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.528112e+00, 461 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52811 0 46 0.93924 1.52811 62.7% - 0s
0 0 1.29177 0 44 0.93924 1.29177 37.5% - 0s
0 0 1.26176 0 47 0.93924 1.26176 34.3% - 0s
0 0 1.25279 0 44 0.93924 1.25279 33.4% - 0s
0 0 1.25279 0 42 0.93924 1.25279 33.4% - 0s
0 2 1.25279 0 42 0.93924 1.25279 33.4% - 0s
* 4199 523 67 0.9584150 1.05021 9.58% 12.8 4s
* 5029 243 74 0.9903756 1.02189 3.18% 12.9 4s
5106 192 cutoff 60 0.99038 1.01929 2.92% 12.9 5s
* 5148 141 68 0.9950727 1.01929 2.43% 12.9 5s
* 5318 102 65 1.0016277 1.01371 1.21% 12.7 5s
* 5384 15 60 1.0037436 1.01260 0.88% 12.6 5s
Cutting planes:
Gomory: 54
Cover: 7
Implied bound: 11
Projected implied bound: 6
MIR: 7
Flow cover: 32
Inf proof: 57
Explored 5495 nodes (69695 simplex iterations) in 5.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.00374 1.00163 0.995073 ... 0.939242
Optimal solution found (tolerance 1.00e-02)
Best objective 1.003743588480e+00, best bound 1.012504404252e+00, gap 0.8728%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfij3zu5j.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpihpzua5s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.973413
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.479440e+00, 482 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47944 0 49 0.97341 1.47944 52.0% - 0s
0 0 1.25015 0 44 0.97341 1.25015 28.4% - 0s
0 0 1.25015 0 44 0.97341 1.25015 28.4% - 0s
0 0 1.23663 0 53 0.97341 1.23663 27.0% - 0s
0 0 1.23564 0 60 0.97341 1.23564 26.9% - 0s
0 0 1.23560 0 63 0.97341 1.23560 26.9% - 0s
0 0 1.22820 0 70 0.97341 1.22820 26.2% - 0s
0 0 1.22820 0 70 0.97341 1.22820 26.2% - 0s
0 0 1.22450 0 60 0.97341 1.22450 25.8% - 0s
0 0 1.22437 0 60 0.97341 1.22437 25.8% - 0s
0 0 1.22437 0 54 0.97341 1.22437 25.8% - 0s
0 2 1.22437 0 54 0.97341 1.22437 25.8% - 0s
H 1925 558 0.9753185 1.04173 6.81% 8.1 1s
Cutting planes:
Learned: 1
Gomory: 41
Cover: 6
Implied bound: 12
Projected implied bound: 20
MIR: 1
Flow cover: 31
Inf proof: 20
Explored 5076 nodes (47347 simplex iterations) in 4.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.975319 0.973413
Optimal solution found (tolerance 1.00e-02)
Best objective 9.753185303692e-01, best bound 9.779530505925e-01, gap 0.2701%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl9758ssr.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0_xi_6n5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.940996
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.415606e+00, 485 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41561 0 53 0.94100 1.41561 50.4% - 0s
0 0 1.20832 0 52 0.94100 1.20832 28.4% - 0s
0 0 1.20828 0 53 0.94100 1.20828 28.4% - 0s
0 0 1.19181 0 59 0.94100 1.19181 26.7% - 0s
0 0 1.19058 0 57 0.94100 1.19058 26.5% - 0s
0 0 1.18829 0 68 0.94100 1.18829 26.3% - 0s
0 0 1.18825 0 71 0.94100 1.18825 26.3% - 0s
0 0 1.18825 0 58 0.94100 1.18825 26.3% - 0s
0 2 1.18825 0 57 0.94100 1.18825 26.3% - 0s
* 4330 173 56 0.9409964 0.97770 3.90% 10.5 4s
Cutting planes:
Learned: 1
Gomory: 53
Cover: 7
Implied bound: 8
Projected implied bound: 6
MIR: 1
Flow cover: 28
Inf proof: 22
Explored 5068 nodes (51940 simplex iterations) in 4.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.940996 0.940996
Optimal solution found (tolerance 1.00e-02)
Best objective 9.409964285331e-01, best bound 9.477741040015e-01, gap 0.7203%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvnear16k.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsp9f1sfw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.954604
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.404355e+00, 531 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40435 0 52 0.95460 1.40435 47.1% - 0s
0 0 1.19998 0 56 0.95460 1.19998 25.7% - 0s
0 0 1.19583 0 62 0.95460 1.19583 25.3% - 0s
0 0 1.19575 0 62 0.95460 1.19575 25.3% - 0s
0 0 1.19367 0 61 0.95460 1.19367 25.0% - 0s
0 0 1.19366 0 63 0.95460 1.19366 25.0% - 0s
0 0 1.19366 0 63 0.95460 1.19366 25.0% - 0s
0 0 1.19366 0 57 0.95460 1.19366 25.0% - 0s
0 2 1.19366 0 57 0.95460 1.19366 25.0% - 0s
Cutting planes:
Learned: 1
Gomory: 55
Cover: 6
Implied bound: 6
Projected implied bound: 7
Clique: 1
MIR: 8
Flow cover: 39
Inf proof: 19
Explored 4300 nodes (48778 simplex iterations) in 4.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.954604
Optimal solution found (tolerance 1.00e-02)
Best objective 9.546038317766e-01, best bound 9.632609229290e-01, gap 0.9069%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpts9u9z6s.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpowj10m8g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.957305
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.385833e+00, 572 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38583 0 56 0.95730 1.38583 44.8% - 0s
0 0 1.20941 0 59 0.95730 1.20941 26.3% - 0s
0 0 1.18993 0 63 0.95730 1.18993 24.3% - 0s
0 0 1.18977 0 61 0.95730 1.18977 24.3% - 0s
0 0 1.18927 0 62 0.95730 1.18927 24.2% - 0s
0 0 1.18927 0 58 0.95730 1.18927 24.2% - 0s
0 2 1.18927 0 56 0.95730 1.18927 24.2% - 0s
4161 369 1.00879 45 50 0.95730 1.01296 5.81% 13.2 5s
Cutting planes:
Learned: 1
Gomory: 50
Cover: 4
Implied bound: 11
Projected implied bound: 5
Clique: 3
MIR: 7
Flow cover: 35
Inf proof: 49
Explored 7488 nodes (90111 simplex iterations) in 7.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.957305
Optimal solution found (tolerance 1.00e-02)
Best objective 9.573047887370e-01, best bound 9.654252370798e-01, gap 0.8483%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph_7l11dp.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa9un7e72.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.962957
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.366512e+00, 609 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36651 0 56 0.96296 1.36651 41.9% - 0s
0 0 1.20808 0 57 0.96296 1.20808 25.5% - 0s
0 0 1.19392 0 67 0.96296 1.19392 24.0% - 0s
0 0 1.19379 0 63 0.96296 1.19379 24.0% - 0s
0 0 1.19301 0 64 0.96296 1.19301 23.9% - 0s
0 0 1.19301 0 59 0.96296 1.19301 23.9% - 0s
0 2 1.19301 0 59 0.96296 1.19301 23.9% - 0s
3722 613 1.05893 28 65 0.96296 1.05893 10.0% 13.5 5s
Cutting planes:
Gomory: 65
Cover: 1
Implied bound: 12
Projected implied bound: 19
MIR: 7
Flow cover: 34
Inf proof: 44
Network: 1
Explored 7911 nodes (103598 simplex iterations) in 9.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.962957
Optimal solution found (tolerance 1.00e-02)
Best objective 9.629569305636e-01, best bound 9.715999473612e-01, gap 0.8975%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpma0z2888.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvnhxl4zo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939119
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.328311e+00, 686 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32831 0 59 0.93912 1.32831 41.4% - 0s
0 0 1.17846 0 63 0.93912 1.17846 25.5% - 0s
0 0 1.16977 0 66 0.93912 1.16977 24.6% - 0s
0 0 1.16974 0 66 0.93912 1.16974 24.6% - 0s
0 0 1.16930 0 67 0.93912 1.16930 24.5% - 0s
0 0 1.16930 0 61 0.93912 1.16930 24.5% - 0s
0 2 1.16930 0 61 0.93912 1.16930 24.5% - 0s
4017 541 cutoff 47 0.93912 0.98497 4.88% 11.8 5s
Cutting planes:
Gomory: 63
Cover: 2
Implied bound: 10
Projected implied bound: 19
MIR: 7
Flow cover: 34
Inf proof: 36
Explored 6345 nodes (73056 simplex iterations) in 7.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.939119
Optimal solution found (tolerance 1.00e-02)
Best objective 9.391194055547e-01, best bound 9.477696465624e-01, gap 0.9211%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr91hyfme.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp10zw_ajw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934648
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.322839e+00, 669 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32284 0 60 0.93465 1.32284 41.5% - 0s
0 0 1.16662 0 69 0.93465 1.16662 24.8% - 0s
0 0 1.15502 0 71 0.93465 1.15502 23.6% - 0s
0 0 1.15501 0 71 0.93465 1.15501 23.6% - 0s
0 0 1.15496 0 76 0.93465 1.15496 23.6% - 0s
0 0 1.15496 0 69 0.93465 1.15496 23.6% - 0s
0 2 1.15496 0 69 0.93465 1.15496 23.6% - 0s
4146 812 0.97694 38 52 0.93465 1.01976 9.11% 12.8 5s
Cutting planes:
Gomory: 68
Cover: 4
Implied bound: 13
Projected implied bound: 25
Clique: 1
MIR: 6
Flow cover: 29
Inf proof: 51
Explored 9060 nodes (109825 simplex iterations) in 9.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.934648
Optimal solution found (tolerance 1.00e-02)
Best objective 9.346479241259e-01, best bound 9.404902168617e-01, gap 0.6251%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa7afltyi.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm0rnh_cy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.936674
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.321672e+00, 709 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32167 0 62 0.93667 1.32167 41.1% - 0s
0 0 1.16619 0 69 0.93667 1.16619 24.5% - 0s
0 0 1.15477 0 72 0.93667 1.15477 23.3% - 0s
0 0 1.15475 0 72 0.93667 1.15475 23.3% - 0s
0 0 1.15471 0 73 0.93667 1.15471 23.3% - 0s
0 0 1.15471 0 63 0.93667 1.15471 23.3% - 0s
0 2 1.15471 0 63 0.93667 1.15471 23.3% - 0s
3578 618 cutoff 31 0.93667 1.00450 7.24% 14.9 5s
9674 1341 0.94587 76 36 0.93667 0.95725 2.20% 12.0 10s
H 9681 1341 0.9366740 0.95725 2.20% 12.0 10s
Cutting planes:
Gomory: 69
Cover: 2
Implied bound: 12
Projected implied bound: 28
MIR: 7
Flow cover: 32
Inf proof: 62
Explored 12494 nodes (146407 simplex iterations) in 12.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.936674 0.936674
Optimal solution found (tolerance 1.00e-02)
Best objective 9.366740451546e-01, best bound 9.456359972456e-01, gap 0.9568%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1lt4w_g1.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgn_3r7t1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.935939
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.317628e+00, 697 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31763 0 62 0.93594 1.31763 40.8% - 0s
0 0 1.15688 0 74 0.93594 1.15688 23.6% - 0s
0 0 1.15688 0 74 0.93594 1.15688 23.6% - 0s
0 0 1.15420 0 71 0.93594 1.15420 23.3% - 0s
0 0 1.15416 0 71 0.93594 1.15416 23.3% - 0s
0 0 1.15290 0 73 0.93594 1.15290 23.2% - 0s
0 0 1.15290 0 73 0.93594 1.15290 23.2% - 0s
0 0 1.15290 0 65 0.93594 1.15290 23.2% - 0s
0 2 1.15290 0 65 0.93594 1.15290 23.2% - 0s
2972 912 1.00958 28 69 0.93594 1.04765 11.9% 17.1 5s
6674 1424 infeasible 29 0.93594 0.99986 6.83% 19.1 10s
10408 780 cutoff 37 0.93594 0.96607 3.22% 18.9 15s
Cutting planes:
Gomory: 68
Cover: 5
Implied bound: 24
Projected implied bound: 29
MIR: 14
Flow cover: 61
Inf proof: 58
Explored 13395 nodes (228080 simplex iterations) in 18.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.935939
Optimal solution found (tolerance 1.00e-02)
Best objective 9.359394467978e-01, best bound 9.435167651667e-01, gap 0.8096%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg_rglfz3.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu2ymhmsc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.93373
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.312315e+00, 725 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31232 0 65 0.93373 1.31232 40.5% - 0s
0 0 1.15646 0 74 0.93373 1.15646 23.9% - 0s
0 0 1.15646 0 74 0.93373 1.15646 23.9% - 0s
0 0 1.15167 0 78 0.93373 1.15167 23.3% - 0s
0 0 1.15163 0 78 0.93373 1.15163 23.3% - 0s
0 0 1.15162 0 79 0.93373 1.15162 23.3% - 0s
0 0 1.15162 0 71 0.93373 1.15162 23.3% - 0s
0 2 1.15162 0 71 0.93373 1.15162 23.3% - 0s
2806 703 0.96221 36 69 0.93373 1.03393 10.7% 16.1 5s
6358 643 cutoff 50 0.93373 0.96721 3.59% 18.2 10s
H 6690 687 0.9337296 0.96463 3.31% 18.0 10s
Cutting planes:
Gomory: 71
Cover: 6
Implied bound: 19
Projected implied bound: 28
MIR: 9
Flow cover: 57
Inf proof: 51
Network: 1
Explored 9938 nodes (149590 simplex iterations) in 13.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.93373 0.93373
Optimal solution found (tolerance 1.00e-02)
Best objective 9.337296075086e-01, best bound 9.430408618195e-01, gap 0.9972%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8bces9kr.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8vnbqirl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.907439
Presolve removed 508 rows and 330 columns
Presolve time: 0.03s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.271023e+00, 708 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27102 0 66 0.90744 1.27102 40.1% - 0s
0 0 1.12912 0 73 0.90744 1.12912 24.4% - 0s
0 0 1.12912 0 73 0.90744 1.12912 24.4% - 0s
0 0 1.11658 0 82 0.90744 1.11658 23.0% - 0s
0 0 1.11650 0 82 0.90744 1.11650 23.0% - 0s
0 0 1.11594 0 82 0.90744 1.11594 23.0% - 0s
0 0 1.11594 0 71 0.90744 1.11594 23.0% - 0s
0 2 1.11594 0 71 0.90744 1.11594 23.0% - 0s
2929 578 0.95550 46 71 0.90744 0.98432 8.47% 15.4 5s
7747 571 0.91841 83 44 0.90744 0.92077 1.47% 13.9 10s
Cutting planes:
Gomory: 78
Cover: 6
Implied bound: 16
Projected implied bound: 30
MIR: 7
Flow cover: 46
Inf proof: 49
Network: 1
Explored 8891 nodes (118156 simplex iterations) in 11.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.907439
Optimal solution found (tolerance 1.00e-02)
Best objective 9.074393934683e-01, best bound 9.147621820659e-01, gap 0.8070%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp98vsv2k1.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx0eku8c5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.90122
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.256161e+00, 778 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25616 0 70 0.90122 1.25616 39.4% - 0s
0 0 1.13427 0 78 0.90122 1.13427 25.9% - 0s
0 0 1.13391 0 77 0.90122 1.13391 25.8% - 0s
0 0 1.12509 0 81 0.90122 1.12509 24.8% - 0s
0 0 1.12509 0 81 0.90122 1.12509 24.8% - 0s
0 0 1.12508 0 84 0.90122 1.12508 24.8% - 0s
0 0 1.12508 0 87 0.90122 1.12508 24.8% - 0s
0 0 1.12508 0 87 0.90122 1.12508 24.8% - 0s
0 0 1.12508 0 84 0.90122 1.12508 24.8% - 0s
0 2 1.12508 0 84 0.90122 1.12508 24.8% - 0s
* 642 368 141 0.9013475 1.04176 15.6% 9.8 0s
* 690 452 140 0.9014142 1.03815 15.2% 9.6 0s
2810 924 0.94637 30 60 0.90141 1.01843 13.0% 15.2 5s
5906 1712 0.90381 28 59 0.90141 0.98005 8.72% 18.4 10s
9223 1359 infeasible 50 0.90141 0.94792 5.16% 21.2 15s
*11913 1297 106 0.9014805 0.93085 3.26% 20.3 18s
13182 1496 0.92417 66 46 0.90148 0.92661 2.79% 19.4 20s
*13389 1517 121 0.9020761 0.92612 2.67% 19.3 20s
*14521 1622 118 0.9032603 0.92342 2.23% 18.6 21s
*17298 1833 108 0.9036562 0.91771 1.56% 17.1 24s
*18265 1970 112 0.9037455 0.91636 1.40% 16.6 24s
18772 2060 0.90726 88 26 0.90375 0.91581 1.33% 16.4 25s
*18800 1849 109 0.9050326 0.91581 1.19% 16.4 25s
*19851 2082 107 0.9050326 0.91495 1.10% 15.8 26s
Cutting planes:
Learned: 1
Gomory: 74
Cover: 4
Implied bound: 16
Projected implied bound: 5
MIR: 6
Flow cover: 44
Inf proof: 108
Explored 21079 nodes (325075 simplex iterations) in 27.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.905033 0.905033 0.903746 ... 0.90122
Optimal solution found (tolerance 1.00e-02)
Best objective 9.050326405558e-01, best bound 9.137713796088e-01, gap 0.9656%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmv1y7kzb.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7qccicqw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.903133
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.240069e+00, 813 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24007 0 71 0.90313 1.24007 37.3% - 0s
0 0 1.13231 0 84 0.90313 1.13231 25.4% - 0s
0 0 1.12304 0 84 0.90313 1.12304 24.3% - 0s
0 0 1.11837 0 87 0.90313 1.11837 23.8% - 0s
0 0 1.11832 0 85 0.90313 1.11832 23.8% - 0s
0 0 1.11827 0 85 0.90313 1.11827 23.8% - 0s
0 0 1.11827 0 83 0.90313 1.11827 23.8% - 0s
0 2 1.11827 0 83 0.90313 1.11827 23.8% - 0s
2478 691 0.93913 51 68 0.90313 0.99954 10.7% 15.0 5s
6916 919 0.91625 45 71 0.90313 0.93195 3.19% 14.6 10s
H 8762 994 0.9031332 0.92539 2.46% 14.1 12s
10084 765 cutoff 66 0.90313 0.91939 1.80% 13.9 15s
Cutting planes:
Learned: 1
Gomory: 77
Cover: 2
Implied bound: 26
Projected implied bound: 28
MIR: 15
Flow cover: 55
Inf proof: 76
Explored 12055 nodes (160662 simplex iterations) in 16.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.903133 0.903133
Optimal solution found (tolerance 1.00e-02)
Best objective 9.031332260729e-01, best bound 9.121332001815e-01, gap 0.9965%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpik96u4so.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp45uvlfey.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.900757
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.222964e+00, 810 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22296 0 72 0.90076 1.22296 35.8% - 0s
0 0 1.11604 0 84 0.90076 1.11604 23.9% - 0s
0 0 1.11590 0 83 0.90076 1.11590 23.9% - 0s
0 0 1.11170 0 90 0.90076 1.11170 23.4% - 0s
0 0 1.11149 0 88 0.90076 1.11149 23.4% - 0s
0 0 1.11144 0 88 0.90076 1.11144 23.4% - 0s
0 0 1.11144 0 88 0.90076 1.11144 23.4% - 0s
0 2 1.11144 0 88 0.90076 1.11144 23.4% - 0s
2182 547 0.99563 21 85 0.90076 1.03074 14.4% 19.4 5s
H 3671 901 0.9017926 1.00538 11.5% 21.0 8s
4651 1056 0.91699 32 71 0.90179 0.99575 10.4% 21.7 10s
H 4653 1057 0.9017926 0.99575 10.4% 21.7 10s
7172 1458 0.93304 26 97 0.90179 0.98214 8.91% 22.6 15s
9908 1658 cutoff 24 0.90179 0.96875 7.42% 23.9 20s
11934 1610 0.95975 27 86 0.90179 0.95975 6.43% 24.8 25s
14424 1561 0.92798 38 72 0.90179 0.94708 5.02% 25.5 30s
17220 1249 0.92815 25 86 0.90179 0.93472 3.65% 26.1 35s
19645 737 cutoff 33 0.90179 0.92012 2.03% 26.0 40s
Cutting planes:
Learned: 1
Gomory: 74
Cover: 4
Implied bound: 47
Projected implied bound: 34
MIR: 6
Flow cover: 33
Inf proof: 142
Explored 22719 nodes (542623 simplex iterations) in 43.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.901793 0.901793 0.900757
Optimal solution found (tolerance 1.00e-02)
Best objective 9.017925553473e-01, best bound 9.100419152316e-01, gap 0.9148%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn26l311x.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps6sfh2rd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887674
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.196431e+00, 861 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19643 0 76 0.88767 1.19643 34.8% - 0s
0 0 1.14958 0 82 0.88767 1.14958 29.5% - 0s
0 0 1.14835 0 82 0.88767 1.14835 29.4% - 0s
0 0 1.14076 0 85 0.88767 1.14076 28.5% - 0s
0 0 1.14076 0 85 0.88767 1.14076 28.5% - 0s
0 0 1.14069 0 86 0.88767 1.14069 28.5% - 0s
0 0 1.14069 0 87 0.88767 1.14069 28.5% - 0s
0 0 1.14069 0 79 0.88767 1.14069 28.5% - 0s
0 2 1.14069 0 79 0.88767 1.14069 28.5% - 0s
2388 682 infeasible 45 0.88767 0.97322 9.64% 15.6 5s
6242 1175 0.89012 56 72 0.88767 0.92964 4.73% 16.4 10s
9983 989 cutoff 50 0.88767 0.91222 2.77% 16.2 15s
14016 821 cutoff 88 0.88767 0.89662 1.01% 15.0 20s
Cutting planes:
Learned: 1
Gomory: 70
Cover: 1
Implied bound: 22
Projected implied bound: 29
MIR: 7
Flow cover: 50
Inf proof: 96
Explored 14426 nodes (214889 simplex iterations) in 20.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.887674
Optimal solution found (tolerance 1.00e-02)
Best objective 8.876735671398e-01, best bound 8.961146330586e-01, gap 0.9509%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt53obdrq.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpngvgq3tu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.880981
Presolve removed 578 rows and 375 columns
Presolve time: 0.03s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.184675e+00, 887 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18467 0 77 0.88098 1.18467 34.5% - 0s
0 0 1.13692 0 84 0.88098 1.13692 29.1% - 0s
0 0 1.12487 0 86 0.88098 1.12487 27.7% - 0s
0 0 1.12487 0 87 0.88098 1.12487 27.7% - 0s
0 0 1.12447 0 89 0.88098 1.12447 27.6% - 0s
0 0 1.12433 0 91 0.88098 1.12433 27.6% - 0s
0 0 1.12427 0 92 0.88098 1.12427 27.6% - 0s
0 0 1.12423 0 92 0.88098 1.12423 27.6% - 0s
0 0 1.12423 0 92 0.88098 1.12423 27.6% - 0s
0 0 1.12423 0 92 0.88098 1.12423 27.6% - 0s
0 0 1.12423 0 87 0.88098 1.12423 27.6% - 0s
0 2 1.12423 0 87 0.88098 1.12423 27.6% - 0s
2338 406 0.94544 28 86 0.88098 0.97418 10.6% 19.1 5s
6527 706 0.88650 57 64 0.88098 0.90798 3.06% 16.7 10s
* 9634 1164 128 0.8823388 0.89996 2.00% 14.2 13s
11664 1311 cutoff 89 0.88234 0.89520 1.46% 13.2 15s
Cutting planes:
Learned: 1
Gomory: 77
Cover: 2
Implied bound: 21
Projected implied bound: 28
Clique: 2
MIR: 5
Flow cover: 41
Inf proof: 63
Explored 14195 nodes (174546 simplex iterations) in 17.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.882339 0.880981
Optimal solution found (tolerance 1.00e-02)
Best objective 8.823387904683e-01, best bound 8.911302047089e-01, gap 0.9964%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8pu54fvz.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpac2ea8dl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.874449
Presolve removed 592 rows and 384 columns
Presolve time: 0.04s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.179271e+00, 887 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17927 0 81 0.87445 1.17927 34.9% - 0s
0 0 1.13008 0 88 0.87445 1.13008 29.2% - 0s
0 0 1.12442 0 86 0.87445 1.12442 28.6% - 0s
0 0 1.12442 0 86 0.87445 1.12442 28.6% - 0s
0 0 1.12442 0 87 0.87445 1.12442 28.6% - 0s
0 0 1.12442 0 90 0.87445 1.12442 28.6% - 0s
0 0 1.12442 0 88 0.87445 1.12442 28.6% - 0s
0 0 1.12442 0 88 0.87445 1.12442 28.6% - 0s
0 2 1.12442 0 86 0.87445 1.12442 28.6% - 0s
2253 580 cutoff 31 0.87445 0.95598 9.32% 18.5 5s
7065 1321 cutoff 44 0.87445 0.91227 4.33% 15.4 10s
*10237 1342 146 0.8761209 0.90162 2.91% 15.1 13s
11617 1508 0.88889 100 40 0.87612 0.89906 2.62% 14.6 15s
16012 2419 cutoff 51 0.87612 0.89187 1.80% 13.3 20s
23315 4123 0.88185 105 34 0.87612 0.88921 1.49% 11.6 25s
29947 4855 cutoff 114 0.87612 0.88757 1.31% 10.8 30s
35462 4974 0.88520 111 33 0.87612 0.88583 1.11% 10.5 35s
Cutting planes:
Learned: 1
Gomory: 86
Cover: 7
Implied bound: 26
Projected implied bound: 20
MIR: 7
Flow cover: 51
Inf proof: 144
Zero half: 1
Explored 38430 nodes (398961 simplex iterations) in 37.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.876121 0.874449
Optimal solution found (tolerance 1.00e-02)
Best objective 8.761209013099e-01, best bound 8.848226169250e-01, gap 0.9932%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0po07_fp.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5at7h5c7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.87184
Presolve removed 606 rows and 393 columns
Presolve time: 0.04s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.171395e+00, 995 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17140 0 80 0.87184 1.17140 34.4% - 0s
0 0 1.12590 0 95 0.87184 1.12590 29.1% - 0s
0 0 1.11857 0 93 0.87184 1.11857 28.3% - 0s
0 0 1.11856 0 93 0.87184 1.11856 28.3% - 0s
0 0 1.11855 0 94 0.87184 1.11855 28.3% - 0s
0 0 1.11855 0 94 0.87184 1.11855 28.3% - 0s
0 0 1.11855 0 94 0.87184 1.11855 28.3% - 0s
0 0 1.11855 0 86 0.87184 1.11855 28.3% - 0s
0 2 1.11855 0 86 0.87184 1.11855 28.3% - 0s
2005 553 0.91791 32 90 0.87184 0.96623 10.8% 20.1 5s
4679 685 infeasible 31 0.87184 0.91938 5.45% 21.6 10s
9063 705 0.87258 78 48 0.87184 0.88366 1.36% 16.6 15s
Cutting planes:
Learned: 1
Gomory: 76
Implied bound: 19
Projected implied bound: 27
MIR: 6
Flow cover: 39
Inf proof: 46
Explored 10640 nodes (163328 simplex iterations) in 15.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.87184
Optimal solution found (tolerance 1.00e-02)
Best objective 8.718398963424e-01, best bound 8.804897371898e-01, gap 0.9921%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1rlzqw9j.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1fjwwqtt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.868743
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.162225e+00, 948 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16222 0 83 0.86874 1.16222 33.8% - 0s
0 0 1.11644 0 92 0.86874 1.11644 28.5% - 0s
0 0 1.11036 0 88 0.86874 1.11036 27.8% - 0s
0 0 1.11036 0 88 0.86874 1.11036 27.8% - 0s
0 0 1.11036 0 86 0.86874 1.11036 27.8% - 0s
0 0 1.11036 0 89 0.86874 1.11036 27.8% - 0s
0 0 1.11036 0 87 0.86874 1.11036 27.8% - 0s
0 0 1.11036 0 86 0.86874 1.11036 27.8% - 0s
0 0 1.11036 0 86 0.86874 1.11036 27.8% - 0s
0 2 1.11036 0 86 0.86874 1.11036 27.8% - 0s
2167 504 infeasible 33 0.86874 0.95475 9.90% 20.9 5s
5664 798 0.87454 78 77 0.86874 0.90674 4.37% 19.3 10s
H 6379 806 0.8687435 0.90039 3.64% 19.0 11s
9688 1187 infeasible 56 0.86874 0.88308 1.65% 16.4 15s
Cutting planes:
Gomory: 87
Cover: 3
Implied bound: 16
Projected implied bound: 23
MIR: 10
Flow cover: 47
Inf proof: 88
Explored 14380 nodes (203196 simplex iterations) in 18.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.868743 0.868743
Optimal solution found (tolerance 1.00e-02)
Best objective 8.687434856500e-01, best bound 8.773508274286e-01, gap 0.9908%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoqlheohd.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpylugkhii.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.863004
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.151198e+00, 912 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15120 0 88 0.86300 1.15120 33.4% - 0s
0 0 1.10778 0 98 0.86300 1.10778 28.4% - 0s
0 0 1.10776 0 98 0.86300 1.10776 28.4% - 0s
0 0 1.10168 0 94 0.86300 1.10168 27.7% - 0s
0 0 1.10168 0 95 0.86300 1.10168 27.7% - 0s
0 0 1.10168 0 95 0.86300 1.10168 27.7% - 0s
0 0 1.10168 0 91 0.86300 1.10168 27.7% - 0s
0 0 1.10168 0 89 0.86300 1.10168 27.7% - 0s
0 2 1.10168 0 89 0.86300 1.10168 27.7% - 0s
3965 981 cutoff 33 0.86300 0.92964 7.72% 12.3 5s
9449 1084 0.87923 66 61 0.86300 0.88104 2.09% 11.6 10s
Cutting planes:
Gomory: 12
Implied bound: 2
Flow cover: 7
Inf proof: 1
Network: 1
Explored 15993 nodes (158487 simplex iterations) in 14.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.863004
Optimal solution found (tolerance 1.00e-02)
Best objective 8.630041184314e-01, best bound 8.708773349594e-01, gap 0.9123%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpov2pectl.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbl71xrkx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.843516
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.123499e+00, 1058 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12350 0 89 0.84352 1.12350 33.2% - 0s
0 0 1.08679 0 96 0.84352 1.08679 28.8% - 0s
0 0 1.07887 0 95 0.84352 1.07887 27.9% - 0s
0 0 1.07886 0 95 0.84352 1.07886 27.9% - 0s
0 0 1.07886 0 95 0.84352 1.07886 27.9% - 0s
0 0 1.07886 0 95 0.84352 1.07886 27.9% - 0s
0 0 1.07886 0 89 0.84352 1.07886 27.9% - 0s
0 2 1.07886 0 89 0.84352 1.07886 27.9% - 0s
3859 759 0.88953 45 81 0.84352 0.89935 6.62% 13.6 5s
9105 1272 infeasible 117 0.84352 0.86006 1.96% 11.7 10s
Cutting planes:
Gomory: 10
Implied bound: 3
Flow cover: 6
Inf proof: 1
Network: 1
Explored 13247 nodes (139478 simplex iterations) in 13.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.843516
Optimal solution found (tolerance 1.00e-02)
Best objective 8.435156741549e-01, best bound 8.518297024856e-01, gap 0.9856%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppiyuceto.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbbn4_a3b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.837477
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.109069e+00, 995 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10907 0 93 0.83748 1.10907 32.4% - 0s
0 0 1.07402 0 102 0.83748 1.07402 28.2% - 0s
0 0 1.07401 0 102 0.83748 1.07401 28.2% - 0s
0 0 1.06168 0 106 0.83748 1.06168 26.8% - 0s
0 0 1.06147 0 107 0.83748 1.06147 26.7% - 0s
0 0 1.06142 0 108 0.83748 1.06142 26.7% - 0s
0 0 1.06142 0 108 0.83748 1.06142 26.7% - 0s
0 0 1.06142 0 108 0.83748 1.06142 26.7% - 0s
0 0 1.06142 0 108 0.83748 1.06142 26.7% - 0s
0 0 1.06142 0 102 0.83748 1.06142 26.7% - 0s
0 0 1.06142 0 102 0.83748 1.06142 26.7% - 0s
0 2 1.06142 0 102 0.83748 1.06142 26.7% - 0s
3496 620 0.84050 43 74 0.83748 0.89321 6.65% 13.2 5s
9646 1446 cutoff 120 0.83748 0.85624 2.24% 10.8 10s
16645 2910 cutoff 103 0.83748 0.84762 1.21% 9.1 15s
Cutting planes:
Gomory: 12
Implied bound: 4
Flow cover: 6
Network: 1
Explored 20725 nodes (179836 simplex iterations) in 17.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.837477
Optimal solution found (tolerance 1.00e-02)
Best objective 8.374769726528e-01, best bound 8.458006362672e-01, gap 0.9939%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpho82jo56.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptzhnf3cx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.818836
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.083709e+00, 1028 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08371 0 92 0.81884 1.08371 32.3% - 0s
0 0 1.04636 0 102 0.81884 1.04636 27.8% - 0s
0 0 1.04634 0 102 0.81884 1.04634 27.8% - 0s
0 0 1.04367 0 99 0.81884 1.04367 27.5% - 0s
0 0 1.04367 0 99 0.81884 1.04367 27.5% - 0s
0 0 1.04367 0 95 0.81884 1.04367 27.5% - 0s
0 0 1.04367 0 95 0.81884 1.04367 27.5% - 0s
0 0 1.04367 0 96 0.81884 1.04367 27.5% - 0s
0 0 1.04367 0 96 0.81884 1.04367 27.5% - 0s
0 2 1.04367 0 96 0.81884 1.04367 27.5% - 0s
3212 636 cutoff 28 0.81884 0.88702 8.33% 15.6 5s
7714 899 0.83435 54 84 0.81884 0.84196 2.82% 14.4 10s
H13033 1794 0.8188358 0.83225 1.64% 12.2 14s
H13039 1794 0.8188358 0.83225 1.64% 12.2 14s
13487 1788 cutoff 70 0.81884 0.83180 1.58% 12.0 15s
Cutting planes:
Gomory: 10
Implied bound: 4
Flow cover: 8
Explored 19660 nodes (207690 simplex iterations) in 19.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.818836 0.818836 0.818836
Optimal solution found (tolerance 1.00e-02)
Best objective 8.188358446031e-01, best bound 8.269900923871e-01, gap 0.9958%
Run 6
Seed for training 276
Seed for simulation 837
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.39743284e-01, 1.40716782e-06, 0.00000000e+00]])
fopt: 0.37316379180901404
fun: -0.3750481092780911
message: 'Optimization terminated successfully.'
nfev: 327
nit: 3
status: 0
success: True
x: array([2.99117774e+02, 2.82988290e-06, 2.00000000e+00])
xopt: array([299., 0., 2.])
zopt: array([299., 299., 301.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuz8aecvb.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnmvxp4fm.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.373164
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.647936e-01, 1058 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96479 0 108 0.37316 0.96479 159% - 0s
0 0 0.93615 0 124 0.37316 0.93615 151% - 0s
0 0 0.93615 0 124 0.37316 0.93615 151% - 0s
0 0 0.93191 0 123 0.37316 0.93191 150% - 0s
0 0 0.92733 0 126 0.37316 0.92733 149% - 0s
0 0 0.92560 0 127 0.37316 0.92560 148% - 0s
0 0 0.92530 0 131 0.37316 0.92530 148% - 0s
0 0 0.92530 0 130 0.37316 0.92530 148% - 0s
0 0 0.92511 0 130 0.37316 0.92511 148% - 0s
0 0 0.92511 0 130 0.37316 0.92511 148% - 0s
0 0 0.92509 0 130 0.37316 0.92509 148% - 0s
0 0 0.92509 0 121 0.37316 0.92509 148% - 0s
0 2 0.92509 0 120 0.37316 0.92509 148% - 0s
825 554 0.85750 18 109 0.37316 0.85750 130% 23.7 5s
* 3078 1260 142 0.4163111 0.82268 97.6% 26.0 9s
3192 1315 infeasible 46 0.41631 0.82268 97.6% 26.4 10s
* 4135 1384 158 0.5109854 0.81708 59.9% 26.6 12s
5185 1938 0.59972 34 118 0.51099 0.81091 58.7% 27.8 15s
7733 3038 0.69577 40 104 0.51099 0.79775 56.1% 29.0 20s
9981 4051 0.78647 43 102 0.51099 0.78804 54.2% 28.9 25s
12733 5153 0.76155 46 109 0.51099 0.78300 53.2% 28.9 30s
14600 5873 0.57316 39 102 0.51099 0.78069 52.8% 29.5 35s
H16884 6771 0.5109854 0.77755 52.2% 29.6 39s
H16910 5127 0.5863785 0.77755 32.6% 29.6 41s
H16912 4304 0.6166475 0.77755 26.1% 29.6 41s
18071 4563 0.69122 42 98 0.61665 0.77508 25.7% 30.1 45s
20257 5165 0.75676 54 100 0.61665 0.77062 25.0% 30.5 50s
H20954 5374 0.6191980 0.76987 24.3% 30.3 65s
20971 5386 0.65824 38 199 0.61920 0.76987 24.3% 30.3 70s
20979 5391 0.65882 41 223 0.61920 0.76987 24.3% 30.3 75s
20986 5396 0.70860 46 224 0.61920 0.76987 24.3% 30.3 80s
20993 5400 0.69350 57 206 0.61920 0.76987 24.3% 30.2 85s
21000 5405 0.72680 30 224 0.61920 0.76987 24.3% 30.2 91s
21005 5408 0.71589 33 220 0.61920 0.76987 24.3% 30.2 95s
21011 5412 0.75408 47 242 0.61920 0.76987 24.3% 30.2 100s
21018 5417 0.73990 45 241 0.61920 0.76987 24.3% 30.2 105s
21023 5420 0.65845 71 234 0.61920 0.76987 24.3% 30.2 110s
21029 5424 0.73353 38 229 0.61920 0.76987 24.3% 30.2 115s
21036 5429 0.66383 48 246 0.61920 0.76987 24.3% 30.2 120s
21042 5433 0.75047 49 248 0.61920 0.76987 24.3% 30.2 125s
21048 5437 0.74390 25 248 0.61920 0.76987 24.3% 30.2 130s
21055 5442 0.67549 62 244 0.61920 0.76987 24.3% 30.2 135s
21061 5446 0.68266 40 234 0.61920 0.76987 24.3% 30.1 140s
21067 5450 0.72108 47 239 0.61920 0.76987 24.3% 30.1 145s
21072 5453 0.73481 38 251 0.61920 0.76987 24.3% 30.1 150s
21076 5456 0.68863 50 238 0.61920 0.76987 24.3% 30.1 155s
21083 5460 0.63019 37 243 0.61920 0.76987 24.3% 30.1 160s
21089 5464 0.75442 48 248 0.61920 0.76987 24.3% 30.1 165s
21096 5469 0.70055 63 252 0.61920 0.76987 24.3% 30.1 170s
21102 5473 0.67541 33 261 0.61920 0.76987 24.3% 30.1 175s
21108 5477 0.69396 68 251 0.61920 0.76987 24.3% 30.1 180s
21114 5481 0.69057 50 258 0.61920 0.76987 24.3% 30.1 185s
21119 5484 0.71832 30 255 0.61920 0.76987 24.3% 30.1 190s
21126 5489 0.76704 47 248 0.61920 0.76987 24.3% 30.1 195s
H21130 5214 0.6304219 0.76987 22.1% 30.0 200s
21138 5219 0.67368 32 254 0.63042 0.76987 22.1% 30.0 205s
21142 5225 0.76987 23 240 0.63042 0.76987 22.1% 31.9 214s
21144 5226 0.76987 24 231 0.63042 0.76987 22.1% 31.9 219s
21148 5228 0.76987 25 227 0.63042 0.76987 22.1% 32.0 220s
21206 5230 infeasible 31 0.63042 0.76987 22.1% 32.6 227s
H21208 4966 0.6357920 0.76987 21.1% 32.6 227s
H21210 4714 0.6393720 0.76987 20.4% 32.7 227s
21278 4717 infeasible 34 0.63937 0.76987 20.4% 33.3 230s
21504 4735 0.74635 27 213 0.63937 0.76987 20.4% 34.7 235s
21987 4826 0.76919 34 231 0.63937 0.76987 20.4% 35.8 250s
22323 4868 0.75026 54 168 0.63937 0.76987 20.4% 37.1 255s
22721 4957 infeasible 56 0.63937 0.76987 20.4% 38.6 260s
23251 5053 0.69472 50 177 0.63937 0.76950 20.4% 40.0 265s
23694 5143 0.74067 38 198 0.63937 0.76795 20.1% 41.0 270s
24138 5215 0.71779 39 205 0.63937 0.76691 19.9% 41.9 275s
24634 5308 0.69782 62 168 0.63937 0.76540 19.7% 43.1 281s
25045 5385 0.65072 58 148 0.63937 0.76396 19.5% 44.5 286s
25406 5452 0.74329 54 184 0.63937 0.76332 19.4% 45.4 290s
26051 5617 0.76213 37 198 0.63937 0.76227 19.2% 46.7 297s
26471 5731 cutoff 49 0.63937 0.76163 19.1% 47.5 301s
26753 5733 0.75321 46 202 0.63937 0.76143 19.1% 48.4 306s
27210 5795 cutoff 51 0.63937 0.76085 19.0% 49.6 312s
27429 5836 0.74721 39 216 0.63937 0.76070 19.0% 50.3 315s
27941 5921 0.74517 51 179 0.63937 0.76015 18.9% 51.2 321s
28207 5965 0.70345 46 195 0.63937 0.75993 18.9% 51.9 325s
28717 6049 0.73176 56 143 0.63937 0.75955 18.8% 53.1 332s
29018 6062 0.74815 50 154 0.63937 0.75924 18.7% 53.8 336s
29321 6112 0.73446 50 192 0.63937 0.75881 18.7% 54.5 340s
29817 6150 cutoff 45 0.63937 0.75839 18.6% 55.9 347s
30067 6157 cutoff 50 0.63937 0.75805 18.6% 56.8 352s
30378 6179 0.73604 55 147 0.63937 0.75797 18.5% 57.6 357s
30673 6166 cutoff 45 0.63937 0.75768 18.5% 58.6 362s
31017 6142 cutoff 61 0.63937 0.75741 18.5% 59.4 367s
31320 6099 cutoff 60 0.63937 0.75714 18.4% 60.3 373s
31674 6102 infeasible 49 0.63937 0.75681 18.4% 61.3 377s
32001 6083 cutoff 51 0.63937 0.75648 18.3% 62.2 382s
32396 6062 0.66270 44 162 0.63937 0.75636 18.3% 62.8 387s
32791 6063 0.65841 51 161 0.63937 0.75620 18.3% 63.5 392s
33163 6017 0.73521 56 150 0.63937 0.75592 18.2% 64.3 397s
33586 6020 0.73653 47 204 0.63937 0.75574 18.2% 64.9 403s
33935 6006 cutoff 35 0.63937 0.75559 18.2% 65.7 409s
H33952 4852 0.6735219 0.75559 12.2% 65.7 409s
34051 4860 0.74941 48 163 0.67352 0.75559 12.2% 65.9 417s
34057 4830 cutoff 48 0.67352 0.75554 12.2% 65.9 422s
34411 4828 cutoff 47 0.67352 0.75519 12.1% 66.8 428s
34682 4823 0.70137 50 176 0.67352 0.75490 12.1% 67.8 433s
35003 4940 0.71490 60 145 0.67352 0.75475 12.1% 68.3 438s
35350 5006 0.69112 47 171 0.67352 0.75461 12.0% 69.1 443s
35718 5090 0.74181 56 155 0.67352 0.75425 12.0% 69.9 448s
36207 5308 0.73397 53 169 0.67352 0.75403 12.0% 70.3 453s
36539 5372 cutoff 52 0.67352 0.75368 11.9% 71.2 459s
36965 5515 0.71235 56 129 0.67352 0.75348 11.9% 71.7 464s
37409 5702 0.72677 40 193 0.67352 0.75332 11.8% 72.3 469s
37933 5889 0.71331 46 178 0.67352 0.75320 11.8% 72.6 474s
38354 6010 cutoff 48 0.67352 0.75290 11.8% 73.3 480s
38793 6154 0.74018 60 157 0.67352 0.75285 11.8% 73.8 485s
39241 6317 0.71670 56 150 0.67352 0.75279 11.8% 74.2 491s
39702 6480 cutoff 46 0.67352 0.75270 11.8% 74.7 496s
40067 6542 0.73952 58 145 0.67352 0.75234 11.7% 75.3 501s
40531 6697 0.71928 40 185 0.67352 0.75208 11.7% 75.7 506s
40972 6860 0.69920 47 172 0.67352 0.75184 11.6% 76.2 512s
41467 7049 cutoff 50 0.67352 0.75167 11.6% 76.5 517s
41798 7137 0.72162 71 98 0.67352 0.75152 11.6% 77.1 522s
42225 7281 0.69657 55 156 0.67352 0.75130 11.5% 77.4 527s
42683 7440 0.72843 42 194 0.67352 0.75107 11.5% 77.7 532s
43072 7532 cutoff 51 0.67352 0.75092 11.5% 78.2 536s
43377 7592 0.68816 46 165 0.67352 0.75066 11.5% 78.8 542s
43838 7684 cutoff 46 0.67352 0.75036 11.4% 79.2 547s
44151 7759 infeasible 49 0.67352 0.75024 11.4% 79.8 552s
44506 7853 cutoff 44 0.67352 0.74991 11.3% 80.4 557s
44926 7994 cutoff 55 0.67352 0.74973 11.3% 80.8 562s
45228 8039 infeasible 57 0.67352 0.74959 11.3% 81.4 568s
45607 8098 0.69524 41 191 0.67352 0.74944 11.3% 82.0 573s
46017 8194 cutoff 46 0.67352 0.74924 11.2% 82.3 578s
46355 8228 cutoff 48 0.67352 0.74902 11.2% 82.8 584s
46741 8353 0.74614 54 147 0.67352 0.74876 11.2% 83.3 589s
47155 8495 0.71890 47 189 0.67352 0.74859 11.1% 83.6 594s
47505 8603 0.71831 46 191 0.67352 0.74848 11.1% 84.2 599s
47914 8775 0.70932 53 152 0.67352 0.74829 11.1% 84.5 600s
Cutting planes:
Gomory: 133
Cover: 5
Implied bound: 80
Projected implied bound: 29
MIR: 214
StrongCG: 2
Flow cover: 561
Inf proof: 123
Zero half: 3
Explored 47919 nodes (4048576 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.673522 0.639372 0.635792 ... 0.416311
Time limit reached
Best objective 6.735218925567e-01, best bound 7.482921148316e-01, gap 11.1014%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfok6edqm.pyomo.lp
Reading time = 0.00 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppcsggxk5.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 670 rows and 478 columns
Presolve time: 0.00s
Presolved: 276 rows, 333 columns, 1365 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.2403035e+01 5.038750e+02 0.000000e+00 0s
146 1.4490816e+01 0.000000e+00 0.000000e+00 0s
Solved in 146 iterations and 0.01 seconds
Optimal objective 1.449081615e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.35040097e-07, -1.07183879e-08, -4.82251364e-07]])
fopt: 1.7835059643307145
fun: -1.787625674238021
message: 'Optimization terminated successfully.'
nfev: 201
nit: 2
status: 0
success: True
x: array([ 26.1978372 , -1. , -87.99580146])
xopt: array([26., 0., 0.])
zopt: array([26., 26., 26.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.18311629, 0.36468395, 0.00693166]])
fopt: 2.003604175982091
fun: -2.027707730718307
message: 'Optimization terminated successfully.'
nfev: 191
nit: 3
status: 0
success: True
x: array([ 46.00028946, -86.99513057, -0.99952403])
xopt: array([46., 0., 0.])
zopt: array([46., 46., 46.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.83276662e-04, 2.33529591e-05, 5.12782729e-04]])
fopt: 2.0233925702288174
fun: -2.038686850840942
message: 'Optimization terminated successfully.'
nfev: 168
nit: 2
status: 0
success: True
x: array([ 68.08075321, -0.9999758 , -41.99352306])
xopt: array([68., 0., 0.])
zopt: array([68., 68., 68.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.72394371, 0.01669685, 0.01669685]])
fopt: 1.9274221599723362
fun: -1.9402732501170488
message: 'Optimization terminated successfully.'
nfev: 323
nit: 3
status: 0
success: True
x: array([86.99226302, -0.98334996, -0.98273045])
xopt: array([87., 0., 0.])
zopt: array([87., 87., 87.])
*******************************************
Period: 5
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.62579863e-04, 1.22098769e-07, 2.45587023e-06]])
fopt: 1.845360224534754
fun: -1.8439618824358472
message: 'Optimization terminated successfully.'
nfev: 197
nit: 2
status: 0
success: True
x: array([107.91979921, 1.04971735, 2.00000252])
xopt: array([107., 2., 2.])
zopt: array([107., 109., 111.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.08152666e-02, -1.01045387e-04, -0.00000000e+00]])
fopt: 1.7357985950322423
fun: -1.7356508432698317
message: 'Optimization terminated successfully.'
nfev: 221
nit: 2
status: 0
success: True
x: array([127.57909058, 2.18258492, 1. ])
xopt: array([127., 2., 1.])
zopt: array([127., 129., 130.])
*******************************************
Period: 7
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.53653635e-07, 5.55368689e-09, 0.00000000e+00]])
fopt: 1.450229768517618
fun: -1.4507208742370592
message: 'Optimization terminated successfully.'
nfev: 245
nit: 2
status: 0
success: True
x: array([140.87951603, 2.03075596, 1. ])
xopt: array([140., 3., 1.])
zopt: array([140., 143., 144.])
*******************************************
Period: 8
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[1.40153606e-06, 1.44970049e-08, 0.00000000e+00],
[3.13442855e-05, 1.68390013e+01, 0.00000000e+00]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1797
nit: 5
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 7.22491878e-04, 6.76679258e-06, 0.00000000e+00],
[-2.56045125e-05, -7.33377078e-04, -0.00000000e+00]])
fopt: 1.1051860366993003
fun: -1.1046518232127993
message: 'Optimization terminated successfully.'
nfev: 317
nit: 3
status: 0
success: True
x: array([128.1404339 , 3.18886625, 1. ])
xopt: array([128., 4., 1.])
zopt: array([128., 132., 133.])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 1.32443883, 8.05509801, 0. ],
[-0.41262372, 3.02301839, 0. ]])
fopt: 1.0342206869132367
fun: -1.035004099406818
message: 'Optimization terminated successfully.'
nfev: 716
nit: 8
status: 0
success: True
x: array([1.26948444e+02, 1.70000033e+01, 6.33244872e-02])
xopt: array([126., 17., 0.])
zopt: array([126., 143., 143.])
*******************************************
Period: 11
direc: array([[ 2.96661966e-08, 1.99999975e+00, -9.80432091e-07],
[-8.36583453e-01, 7.03784663e+00, 2.76480781e+01],
[-0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 1.1261424620887877
fun: -1.1250792884991025
message: 'Optimization terminated successfully.'
nfev: 742
nit: 7
status: 0
success: True
x: array([126.86276957, 16.013317 , 35.65266834])
xopt: array([126., 17., 35.])
zopt: array([126., 143., 178.])
*******************************************
Period: 12
direc: array([[ 1.32505777e+02, 4.44309276e+01, 4.43277874e+01],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 2.33613111e-05, -0.00000000e+00, 6.86605684e-09]])
fopt: 1.1599176772945714
fun: -1.1575089792257383
message: 'Optimization terminated successfully.'
nfev: 395
nit: 5
status: 0
success: True
x: array([139.97627671, 47.39651088, 40.01330806])
xopt: array([139., 48., 40.])
zopt: array([139., 187., 227.])
*******************************************
Period: 13
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.49319341e+02, 5.02422145e+01, 4.99525091e+01],
[ 8.81077810e-05, 0.00000000e+00, -2.12701112e-01]])
fopt: 1.1178000635756713
fun: -1.113616179150971
message: 'Optimization terminated successfully.'
nfev: 551
nit: 7
status: 0
success: True
x: array([155.87061682, 53.12822642, 53.10791109])
xopt: array([155., 53., 54.])
zopt: array([155., 208., 262.])
*******************************************
Period: 14
direc: array([[ 1.49150278e+02, 5.04428906e+01, 4.98959516e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.69881169e-02, -5.76463549e-03, -1.27704338e-02]])
fopt: 1.1309426069480017
fun: -1.1278963966340763
message: 'Optimization terminated successfully.'
nfev: 485
nit: 7
status: 0
success: True
x: array([131.97741468, 57.20319827, 70.17283914])
xopt: array([131., 58., 71.])
zopt: array([131., 189., 260.])
*******************************************
Period: 15
direc: array([[ 1.49642583e+02, 5.02756991e+01, 5.00606447e+01],
[-6.51474122e+01, -9.20398290e-05, 5.62552768e+01],
[ 3.94149601e-03, -3.61626317e-05, -9.05224382e+00]])
fopt: 1.1910092102146128
fun: -1.1914476936271583
message: 'Optimization terminated successfully.'
nfev: 775
nit: 8
status: 0
success: True
x: array([88.92005004, 53.0056912 , 98.15364103])
xopt: array([88., 54., 98.])
zopt: array([ 88., 142., 240.])
*******************************************
Period: 16
direc: array([[-1.52525227e+01, 4.06656795e+00, 1.33186854e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.57544948e-03, 1.17790403e-05, -4.72720499e+00]])
fopt: 1.1733521771058033
fun: -1.172252806867912
message: 'Optimization terminated successfully.'
nfev: 723
nit: 10
status: 0
success: True
x: array([101.99088946, 86.00000001, 123.00004891])
xopt: array([101., 86., 123.])
zopt: array([101., 187., 310.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, -1.26379006e+00, 1.00000000e+00],
[ 1.48719154e+02, 5.03883668e+01, 4.97517255e+01],
[ 3.26487847e-07, 1.11683561e-07, -1.25561861e-02]])
fopt: 0.8591359288938626
fun: -0.8533595013727345
message: 'Optimization terminated successfully.'
nfev: 590
nit: 7
status: 0
success: True
x: array([144.20022569, 43. , 60.00000035])
xopt: array([144., 43., 61.])
zopt: array([144., 187., 248.])
*******************************************
Period: 18
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 63.28543449, 134.04070223]])
fopt: 0.9843651580326364
fun: -0.9842298315219463
message: 'Optimization terminated successfully.'
nfev: 437
nit: 6
status: 0
success: True
x: array([130.13720943, 68.00000525, 139.00000011])
xopt: array([130., 68., 139.])
zopt: array([130., 198., 337.])
*******************************************
Period: 19
direc: array([[5.84573713e-03, 4.56071354e-05, 1.14079079e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.59395190e-01, 3.61518583e+01, 1.63478730e+02]])
fopt: 0.8851935758525944
fun: -0.8840107342617509
message: 'Optimization terminated successfully.'
nfev: 319
nit: 4
status: 0
success: True
x: array([129.001461 , 39. , 171.49075329])
xopt: array([129., 39., 171.])
zopt: array([129., 168., 339.])
*******************************************
Period: 20
direc: array([[ 1.48957393e+02, 5.00360610e+01, 4.98228363e+01],
[-2.02222723e+01, -2.69854662e-04, 7.03740969e+00],
[-1.75965216e-01, -3.59293218e-03, 1.17019304e+02]])
fopt: 0.90417375792281
fun: -0.9021786892344621
message: 'Optimization terminated successfully.'
nfev: 667
nit: 8
status: 0
success: True
x: array([133.99563957, 53.17503269, 183.08584613])
xopt: array([133., 54., 183.])
zopt: array([133., 187., 370.])
*******************************************
Period: 21
direc: array([[ 6.13130487e-01, 5.08693779e-03, 1.05742851e-02],
[-8.07062660e-03, -1.24894377e-02, -2.39168131e-02],
[ 0.00000000e+00, 5.95709487e+00, 0.00000000e+00]])
fopt: 0.4441253986888098
fun: -0.44197443859992047
message: 'Optimization terminated successfully.'
nfev: 676
nit: 7
status: 0
success: True
x: array([130.36322921, 13.01052885, 5.0157074 ])
xopt: array([130., 13., 6.])
zopt: array([130., 143., 149.])
*******************************************
Period: 22
direc: array([[2.44275285e-03, 1.90861826e-05, 4.73290307e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.35992571e-01, 4.02855921e+01, 1.82250071e+02]])
fopt: 0.869938390340532
fun: -0.8694824674099956
message: 'Optimization terminated successfully.'
nfev: 453
nit: 6
status: 0
success: True
x: array([141.9865487 , 46.00082688, 183.01227058])
xopt: array([141., 46., 183.])
zopt: array([141., 187., 370.])
*******************************************
Period: 23
direc: array([[-2.07274982e-04, -1.88492718e-06, -3.52419904e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.47606170e-02, 7.32292713e+01, 1.68740307e+02]])
fopt: 0.866906916881401
fun: -0.8656052071252355
message: 'Optimization terminated successfully.'
nfev: 319
nit: 4
status: 0
success: True
x: array([128.92447351, 71.00718465, 174.19149293])
xopt: array([128., 71., 175.])
zopt: array([128., 199., 374.])
*******************************************
Period: 24
direc: array([[2.19415113e-01, 1.73101126e-03, 3.58974614e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.37701337e-01, 7.42971357e+01, 1.57944058e+02]])
fopt: 0.905739355807235
fun: -0.9049330228009111
message: 'Optimization terminated successfully.'
nfev: 539
nit: 7
status: 0
success: True
x: array([ 99.89061004, 88.00002694, 181.00998233])
xopt: array([ 99., 88., 182.])
zopt: array([ 99., 187., 369.])
*******************************************
Period: 25
direc: array([[6.71038357e-01, 5.24057857e-03, 1.06756755e-02],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.01536728e+01, 4.51713220e+01, 9.03513859e+01]])
fopt: 0.7609476792619647
fun: -0.7604456122470142
message: 'Optimization terminated successfully.'
nfev: 398
nit: 5
status: 0
success: True
x: array([137.09394 , 51.00000454, 99. ])
xopt: array([137., 51., 100.])
zopt: array([137., 188., 288.])
*******************************************
Period: 26
direc: array([[2.62400884e-01, 2.06255473e-03, 4.52478850e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.64178517e+01, 5.30272093e+01, 9.78901598e+01]])
fopt: 0.7682253914321937
fun: -0.7675981980474245
message: 'Optimization terminated successfully.'
nfev: 373
nit: 5
status: 0
success: True
x: array([141.30548639, 57.00000875, 105. ])
xopt: array([141., 57., 106.])
zopt: array([141., 198., 304.])
*******************************************
Period: 27
direc: array([[1.30607380e-01, 1.09327442e-03, 2.15519266e-03],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 4.00000000e+00, 0.00000000e+00]])
fopt: 0.7844124236222979
fun: -0.7825695263764779
message: 'Optimization terminated successfully.'
nfev: 619
nit: 6
status: 0
success: True
x: array([127.97356485, 14.06285686, 129.35945636])
xopt: array([127., 15., 130.])
zopt: array([127., 142., 272.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 65.09935531, 131.1418013 ]])
fopt: 0.8094361275735267
fun: -0.8076486192132912
message: 'Optimization terminated successfully.'
nfev: 302
nit: 4
status: 0
success: True
x: array([136.32332435, 68.00000005, 136.25972996])
xopt: array([136., 68., 136.])
zopt: array([136., 204., 340.])
*******************************************
Period: 29
direc: array([[6.19153945e-02, 4.12488722e-04, 8.42656304e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.85214429e+00, 1.91181687e-02, 1.33255555e+02]])
fopt: 0.7543625560724445
fun: -0.7540706841201867
message: 'Optimization terminated successfully.'
nfev: 436
nit: 4
status: 0
success: True
x: array([155.01325249, 2.01947719, 138.34207691])
xopt: array([155., 2., 139.])
zopt: array([155., 157., 296.])
*******************************************
Period: 30
direc: array([[3.48835865e-05, 1.89562754e-07, 3.87149292e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.39811705e-04, 7.12083206e-07, 3.96787304e+00]])
fopt: 0.772750691205278
fun: -0.77384082454788
message: 'Optimization terminated successfully.'
nfev: 687
nit: 6
status: 0
success: True
x: array([185.0236573 , 2.00046373, 184.58915964])
xopt: array([185., 2., 184.])
zopt: array([185., 187., 371.])
*******************************************
Period: 31
direc: array([[ 2.26050919e-02, 1.37670462e-04, 1.17159082e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.49910940e-03, -6.48534665e-02, 2.17981688e+00]])
fopt: 0.5405811975169585
fun: -0.5391805186024127
message: 'Optimization terminated successfully.'
nfev: 657
nit: 6
status: 0
success: True
x: array([193.96481267, 2.01405347, 7.22775083])
xopt: array([193., 2., 8.])
zopt: array([193., 195., 203.])
*******************************************
Period: 32
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -3.52232816e-02, 1.85133904e+02]])
fopt: 0.7471412703631455
fun: -0.7478827434590112
message: 'Optimization terminated successfully.'
nfev: 426
nit: 5
status: 0
success: True
x: array([194.04848003, 1.01677279, 183.72751924])
xopt: array([194., 1., 183.])
zopt: array([194., 195., 378.])
*******************************************
Period: 33
direc: array([[1.03369969e-07, 7.79880615e-11, 5.34538157e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.40938544e-05, 1.06331957e-08, 1.36343892e+02]])
fopt: 0.7430537180065799
fun: -0.7437616375457287
message: 'Optimization terminated successfully.'
nfev: 559
nit: 5
status: 0
success: True
x: array([193.92133122, 2.1455506 , 183.22511232])
xopt: array([193., 2., 183.])
zopt: array([193., 195., 378.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 0. ],
[ 0. , 7.62988217, 176.04268575],
[ 0. , 0. , 0. ]])
fopt: 0.7293979870009072
fun: -0.7298040939750609
message: 'Optimization terminated successfully.'
nfev: 511
nit: 6
status: 0
success: True
x: array([194.34653601, 1.30828697, 181.04268575])
xopt: array([194., 1., 182.])
zopt: array([194., 195., 377.])
*******************************************
Period: 35
direc: array([[ 66.44051428, 0.34667717, 0.69898549],
[-39.26847895, 70.42150164, 43.78482757],
[ 0. , 2. , 0. ]])
fopt: 0.7897897531770791
fun: -0.7900896671766783
message: 'Optimization terminated successfully.'
nfev: 1317
nit: 15
status: 0
success: True
x: array([ 87. , 130. , 81.36485097])
xopt: array([ 87., 130., 82.])
zopt: array([ 87., 217., 299.])
*******************************************
Period: 36
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-164.76387045, 120.41464751, 120.81737208]])
fopt: 0.8200664214969685
fun: -0.8225237779716813
message: 'Optimization terminated successfully.'
nfev: 441
nit: 7
status: 0
success: True
x: array([ 86.99986254, 127.00000161, 126. ])
xopt: array([ 87., 127., 126.])
zopt: array([ 87., 214., 340.])
*******************************************
Period: 37
direc: array([[-7.08360468e-15, -6.17216128e-07, -5.98806266e-07],
[-1.63975630e+02, 9.08216117e+01, 9.08216117e+01],
[ 5.08060123e-21, 7.98371124e-13, -3.57514754e-07]])
fopt: 0.8382726757000735
fun: -0.8361073273307624
message: 'Optimization terminated successfully.'
nfev: 529
nit: 7
status: 0
success: True
x: array([ 88.64096754, 99.0002199 , 173.00745683])
xopt: array([ 89., 100., 174.])
zopt: array([ 89., 189., 363.])
*******************************************
Period: 38
direc: array([[ 2.96031503, 38.15876395, 48.11795256],
[-187.82528993, 91.15320667, 89.33925785],
[ 0. , 0. , 4. ]])
fopt: 0.8228590637918476
fun: -0.8254398199357573
message: 'Optimization terminated successfully.'
nfev: 1178
nit: 12
status: 0
success: True
x: array([ 85.99747867, 130.00319144, 167. ])
xopt: array([ 86., 130., 167.])
zopt: array([ 86., 216., 383.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-184.77686943, 68.22856575, 135.67644775]])
fopt: 0.7758877092512828
fun: -0.7746313155388465
message: 'Optimization terminated successfully.'
nfev: 263
nit: 4
status: 0
success: True
x: array([123.00006957, 72. , 140.66753841])
xopt: array([123., 72., 140.])
zopt: array([123., 195., 335.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-183.5676553 , 62.34738562, 134.32589692]])
fopt: 0.7500987018334135
fun: -0.7493270321119324
message: 'Optimization terminated successfully.'
nfev: 364
nit: 5
status: 0
success: True
x: array([129.00001775, 66. , 139.41959583])
xopt: array([129., 66., 139.])
zopt: array([129., 195., 334.])
*******************************************
Period: 41
direc: array([[-13.37502821, 8.11416891, 8.11416891],
[ 0. , 1. , 0. ],
[ 0.11360137, 7.41485026, 68.33010261]])
fopt: 0.8030588835193218
fun: -0.8026348543402159
message: 'Optimization terminated successfully.'
nfev: 557
nit: 8
status: 0
success: True
x: array([ 87.95317683, 108.00000041, 179.05490308])
xopt: array([ 87., 108., 180.])
zopt: array([ 87., 195., 375.])
*******************************************
Period: 42
direc: array([[-1.70213930e+02, 6.39474195e+01, 5.66385269e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.63925624e-05, 3.71459177e+01, 2.30640530e+01]])
fopt: 0.7956726949921962
fun: -0.794242420571956
message: 'Optimization terminated successfully.'
nfev: 587
nit: 7
status: 0
success: True
x: array([ 87.97383802, 109.00001136, 199.1657287 ])
xopt: array([ 87., 109., 200.])
zopt: array([ 87., 196., 396.])
*******************************************
Period: 43
direc: array([[ 6.52999590e+01, 3.92912132e-01, 3.40304714e-01],
[ 5.46505838e-05, -4.27105390e-04, -4.31466936e-04],
[ 1.05305094e-04, 9.76218821e-01, -8.31399745e-04]])
fopt: 0.39978525786711233
fun: -0.39975809161567644
message: 'Optimization terminated successfully.'
nfev: 444
nit: 6
status: 0
success: True
x: array([254.29315041, 9.01241872, 5.00262826])
xopt: array([254., 10., 6.])
zopt: array([254., 264., 270.])
*******************************************
Period: 44
direc: array([[ -4.19870869, 1.01734447, 0.99709932],
[ 0. , 1. , 0. ],
[-73.68709018, 26.03751397, 180.07959605]])
fopt: 0.7077594436554742
fun: -0.7073318480686759
message: 'Optimization terminated successfully.'
nfev: 450
nit: 6
status: 0
success: True
x: array([162.86759439, 37.00000019, 209.15040268])
xopt: array([162., 37., 209.])
zopt: array([162., 199., 408.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpieshe9no.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdmvn8fmt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23131
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.78351 1.23131
Optimal solution found (tolerance 1.00e-02)
Best objective 1.783505964331e+00, best bound 1.783505964331e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzlajv2vl.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2fmxcrbq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.245476
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.003604e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.0036042 2.00360 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.0036 0.245476
Optimal solution found (tolerance 1.00e-02)
Best objective 2.003604175982e+00, best bound 2.003604175982e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzjk2rn5g.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi3421hel.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04144
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.023393e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.0233926 2.02339 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.02339 1.04144
Optimal solution found (tolerance 1.00e-02)
Best objective 2.023392570229e+00, best bound 2.023392570229e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp730q0izn.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_i9a6kge.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25607
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.600338e+00, 42 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.60034 0 3 1.25607 2.60034 107% - 0s
H 0 0 1.9102731 2.60034 36.1% - 0s
H 0 0 1.9274222 2.60034 34.9% - 0s
0 0 1.95137 0 1 1.92742 1.95137 1.24% - 0s
0 0 cutoff 0 1.92742 1.92742 0.00% - 0s
Cutting planes:
MIR: 1
Flow cover: 4
Explored 1 nodes (57 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.92742 1.91027 1.25607
Optimal solution found (tolerance 1.00e-02)
Best objective 1.927422159972e+00, best bound 1.927422159972e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa07osj08.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp41tvxr36.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3826
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 350 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.659703e+00, 64 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.65970 0 4 1.38260 2.65970 92.4% - 0s
H 0 0 1.4582567 2.65970 82.4% - 0s
H 0 0 1.9966754 2.65970 33.2% - 0s
0 0 2.02470 0 2 1.99668 2.02470 1.40% - 0s
0 0 2.01584 0 1 1.99668 2.01584 0.96% - 0s
Cutting planes:
Gomory: 2
Flow cover: 3
Explored 1 nodes (89 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.99668 1.45826 1.3826
Optimal solution found (tolerance 1.00e-02)
Best objective 1.996675396004e+00, best bound 2.015836296611e+00, gap 0.9596%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaw9u3vox.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3_jimof3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49861
Presolve removed 150 rows and 102 columns
Presolve time: 0.00s
Presolved: 133 rows, 106 columns, 454 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 2.679384e+00, 84 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.67938 0 6 1.49861 2.67938 78.8% - 0s
H 0 0 1.5963146 2.67938 67.8% - 0s
H 0 0 1.9913908 2.67938 34.5% - 0s
0 0 2.04405 0 3 1.99139 2.04405 2.64% - 0s
0 0 2.00641 0 1 1.99139 2.00641 0.75% - 0s
Cutting planes:
Gomory: 4
Implied bound: 1
Flow cover: 3
Explored 1 nodes (126 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.99139 1.59631 1.49861
Optimal solution found (tolerance 1.00e-02)
Best objective 1.991390813627e+00, best bound 2.006414556444e+00, gap 0.7544%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk8llog63.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6vtmpo11.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.65436
Presolve removed 165 rows and 111 columns
Presolve time: 0.00s
Presolved: 164 rows, 130 columns, 563 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 2.384784e+00, 99 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.38478 0 9 1.65436 2.38478 44.2% - 0s
H 0 0 1.6796552 2.38478 42.0% - 0s
0 0 2.10400 0 11 1.67966 2.10400 25.3% - 0s
H 0 0 1.7133426 2.10400 22.8% - 0s
0 0 1.76960 0 4 1.71334 1.76960 3.28% - 0s
H 0 0 1.7489067 1.76960 1.18% - 0s
0 0 1.76818 0 2 1.74891 1.76818 1.10% - 0s
H 0 0 1.7489067 1.76818 1.10% - 0s
0 0 cutoff 0 1.74891 1.74891 0.00% - 0s
Explored 1 nodes (174 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.74891 1.74891 1.71334 ... 1.65436
Optimal solution found (tolerance 1.00e-02)
Best objective 1.748906726188e+00, best bound 1.748906726188e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsomaawcz.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprwc6bedi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.5054
Presolve removed 181 rows and 121 columns
Presolve time: 0.00s
Presolved: 194 rows, 153 columns, 671 nonzeros
Variable types: 77 continuous, 76 integer (71 binary)
Root relaxation: objective 2.142400e+00, 131 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14240 0 11 1.50540 2.14240 42.3% - 0s
H 0 0 1.5338803 2.14240 39.7% - 0s
0 0 1.80079 0 15 1.53388 1.80079 17.4% - 0s
0 0 1.57795 0 7 1.53388 1.57795 2.87% - 0s
H 0 0 1.5633491 1.57795 0.93% - 0s
Cutting planes:
Gomory: 9
Implied bound: 1
MIR: 1
Flow cover: 12
Explored 1 nodes (213 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.56335 1.53388 1.5054
Optimal solution found (tolerance 1.00e-02)
Best objective 1.563349073952e+00, best bound 1.577953601871e+00, gap 0.9342%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpetvs2f9h.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphxce_e2y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28911
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.073488e+00, 148 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07349 0 12 1.28911 2.07349 60.8% - 0s
H 0 0 1.4622933 2.07349 41.8% - 0s
0 0 1.66514 0 19 1.46229 1.66514 13.9% - 0s
0 0 1.54430 0 7 1.46229 1.54430 5.61% - 0s
0 0 1.54285 0 7 1.46229 1.54285 5.51% - 0s
0 0 1.54285 0 7 1.46229 1.54285 5.51% - 0s
0 0 1.54285 0 7 1.46229 1.54285 5.51% - 0s
0 0 1.53081 0 2 1.46229 1.53081 4.69% - 0s
0 0 1.52793 0 3 1.46229 1.52793 4.49% - 0s
0 0 1.50437 0 2 1.46229 1.50437 2.88% - 0s
0 0 1.50055 0 4 1.46229 1.50055 2.62% - 0s
0 0 1.50045 0 4 1.46229 1.50045 2.61% - 0s
0 0 1.49663 0 1 1.46229 1.49663 2.35% - 0s
0 0 1.49663 0 1 1.46229 1.49663 2.35% - 0s
0 0 1.49663 0 1 1.46229 1.49663 2.35% - 0s
0 0 cutoff 0 1.46229 1.46229 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 1
Explored 1 nodes (400 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.46229 1.28911
Optimal solution found (tolerance 1.00e-02)
Best objective 1.462293300949e+00, best bound 1.462293300950e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphqyrclno.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3v_grd17.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28691
Presolve removed 212 rows and 140 columns
Presolve time: 0.01s
Presolved: 255 rows, 200 columns, 889 nonzeros
Variable types: 102 continuous, 98 integer (93 binary)
Root relaxation: objective 1.895880e+00, 175 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89588 0 13 1.28691 1.89588 47.3% - 0s
H 0 0 1.3137577 1.89588 44.3% - 0s
0 0 1.48156 0 20 1.31376 1.48156 12.8% - 0s
0 0 1.40030 0 7 1.31376 1.40030 6.59% - 0s
0 0 1.39981 0 7 1.31376 1.39981 6.55% - 0s
0 0 1.39981 0 9 1.31376 1.39981 6.55% - 0s
0 0 1.39981 0 9 1.31376 1.39981 6.55% - 0s
0 2 1.39981 0 9 1.31376 1.39981 6.55% - 0s
* 24 3 8 1.3137577 1.37300 4.51% 4.3 0s
Cutting planes:
Gomory: 9
Implied bound: 3
MIR: 2
Flow cover: 13
Explored 32 nodes (445 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31376 1.31376 1.28691
Optimal solution found (tolerance 1.00e-02)
Best objective 1.313757745839e+00, best bound 1.321105765423e+00, gap 0.5593%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwi38d4tk.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsudrd045.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15263
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.915973e+00, 197 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91597 0 14 1.15263 1.91597 66.2% - 0s
H 0 0 1.3588547 1.91597 41.0% - 0s
0 0 1.48843 0 20 1.35885 1.48843 9.54% - 0s
0 0 1.45651 0 7 1.35885 1.45651 7.19% - 0s
0 0 1.45551 0 7 1.35885 1.45551 7.11% - 0s
0 0 1.45551 0 7 1.35885 1.45551 7.11% - 0s
0 2 1.45551 0 7 1.35885 1.45551 7.11% - 0s
* 47 6 10 1.3609668 1.38406 1.70% 5.1 0s
* 52 4 12 1.3658329 1.38406 1.33% 5.1 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 1
MIR: 2
Flow cover: 14
Explored 57 nodes (591 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.36583 1.36097 1.35885 1.15263
Optimal solution found (tolerance 1.00e-02)
Best objective 1.365832877355e+00, best bound 1.365832877355e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpibj_zdlm.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5txpsrbi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18636
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.896396e+00, 226 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89640 0 18 1.18636 1.89640 59.8% - 0s
H 0 0 1.3136445 1.89640 44.4% - 0s
0 0 1.47696 0 25 1.31364 1.47696 12.4% - 0s
0 0 1.47204 0 23 1.31364 1.47204 12.1% - 0s
H 0 0 1.3209801 1.47204 11.4% - 0s
0 0 1.47200 0 23 1.32098 1.47200 11.4% - 0s
0 0 1.47150 0 23 1.32098 1.47150 11.4% - 0s
0 0 1.47150 0 21 1.32098 1.47150 11.4% - 0s
H 0 0 1.3250365 1.47150 11.1% - 0s
0 2 1.46352 0 20 1.32504 1.46352 10.5% - 0s
* 163 20 17 1.3310291 1.38447 4.02% 4.6 0s
* 223 13 17 1.3354896 1.37204 2.74% 4.3 0s
Cutting planes:
Gomory: 11
Cover: 2
Implied bound: 4
MIR: 2
Flow cover: 11
Inf proof: 4
Explored 268 nodes (1528 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.33549 1.33103 1.32504 ... 1.18636
Optimal solution found (tolerance 1.00e-02)
Best objective 1.335489576934e+00, best bound 1.335489576934e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr830_5fa.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnxdi4b6g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18038
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.915019e+00, 251 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91502 0 21 1.18038 1.91502 62.2% - 0s
0 0 1.50699 0 31 1.18038 1.50699 27.7% - 0s
0 0 1.49524 0 28 1.18038 1.49524 26.7% - 0s
0 0 1.49524 0 28 1.18038 1.49524 26.7% - 0s
0 0 1.49513 0 30 1.18038 1.49513 26.7% - 0s
0 0 1.49513 0 33 1.18038 1.49513 26.7% - 0s
0 0 1.49513 0 31 1.18038 1.49513 26.7% - 0s
0 2 1.49513 0 31 1.18038 1.49513 26.7% - 0s
H 32 25 1.3540334 1.43695 6.12% 6.4 0s
Cutting planes:
Gomory: 12
Cover: 2
Implied bound: 10
MIR: 2
Flow cover: 17
Inf proof: 4
Explored 325 nodes (2105 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35403 1.18038
Optimal solution found (tolerance 1.00e-02)
Best objective 1.354033394103e+00, best bound 1.362056357564e+00, gap 0.5925%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmput4be7f6.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpupwtuql3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23311
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.812574e+00, 264 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81257 0 24 1.23311 1.81257 47.0% - 0s
0 0 1.42057 0 32 1.23311 1.42057 15.2% - 0s
0 0 1.40488 0 23 1.23311 1.40488 13.9% - 0s
0 0 1.40488 0 23 1.23311 1.40488 13.9% - 0s
0 0 1.40480 0 22 1.23311 1.40480 13.9% - 0s
0 0 1.40480 0 20 1.23311 1.40480 13.9% - 0s
0 2 1.40480 0 20 1.23311 1.40480 13.9% - 0s
* 364 24 22 1.2673365 1.33721 5.51% 5.3 0s
Cutting planes:
Gomory: 14
Cover: 3
Implied bound: 12
MIR: 3
Flow cover: 15
Inf proof: 8
Explored 476 nodes (3042 simplex iterations) in 0.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.26734 1.23311
Optimal solution found (tolerance 1.00e-02)
Best objective 1.267336482560e+00, best bound 1.271246331154e+00, gap 0.3085%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_uwg16qb.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpodrvaajb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15301
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.791728e+00, 300 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79173 0 27 1.15301 1.79173 55.4% - 0s
0 0 1.40633 0 27 1.15301 1.40633 22.0% - 0s
0 0 1.39556 0 29 1.15301 1.39556 21.0% - 0s
0 0 1.39498 0 31 1.15301 1.39498 21.0% - 0s
0 0 1.39498 0 22 1.15301 1.39498 21.0% - 0s
0 2 1.39498 0 22 1.15301 1.39498 21.0% - 0s
* 95 62 33 1.2296060 1.34778 9.61% 5.3 0s
H 449 36 1.2610070 1.30850 3.77% 6.1 0s
Cutting planes:
Gomory: 17
Cover: 6
Implied bound: 9
MIR: 3
Flow cover: 17
Inf proof: 8
Explored 568 nodes (3884 simplex iterations) in 0.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.26101 1.22961 1.15301
Optimal solution found (tolerance 1.00e-02)
Best objective 1.261007017469e+00, best bound 1.261007017469e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4rn5p9ck.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4pdxcetl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15555
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.724744e+00, 329 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72474 0 30 1.15555 1.72474 49.3% - 0s
0 0 1.35496 0 33 1.15555 1.35496 17.3% - 0s
0 0 1.35496 0 33 1.15555 1.35496 17.3% - 0s
0 0 1.34405 0 32 1.15555 1.34405 16.3% - 0s
0 0 1.34405 0 32 1.15555 1.34405 16.3% - 0s
0 0 1.34359 0 34 1.15555 1.34359 16.3% - 0s
0 0 1.34359 0 30 1.15555 1.34359 16.3% - 0s
0 2 1.34359 0 29 1.15555 1.34359 16.3% - 0s
* 138 70 37 1.1784684 1.29158 9.60% 5.5 0s
H 550 77 1.2054898 1.26461 4.90% 5.9 0s
Cutting planes:
Gomory: 17
Cover: 4
Implied bound: 14
Flow cover: 17
Inf proof: 11
Explored 728 nodes (4975 simplex iterations) in 0.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.20549 1.17847 1.15555
Optimal solution found (tolerance 1.00e-02)
Best objective 1.205489800233e+00, best bound 1.205489800233e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpitka5n7d.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdj6jqb61.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09935
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.668245e+00, 347 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66825 0 33 1.09935 1.66825 51.7% - 0s
0 0 1.30427 0 32 1.09935 1.30427 18.6% - 0s
0 0 1.30427 0 32 1.09935 1.30427 18.6% - 0s
0 0 1.28118 0 41 1.09935 1.28118 16.5% - 0s
0 0 1.28032 0 41 1.09935 1.28032 16.5% - 0s
0 0 1.27977 0 43 1.09935 1.27977 16.4% - 0s
0 0 1.27977 0 38 1.09935 1.27977 16.4% - 0s
0 2 1.27977 0 38 1.09935 1.27977 16.4% - 0s
* 2372 376 43 1.1160218 1.17129 4.95% 5.7 1s
* 2493 136 33 1.1500435 1.17086 1.81% 5.7 1s
Cutting planes:
Gomory: 18
Cover: 23
Implied bound: 28
MIR: 2
Flow cover: 24
Inf proof: 50
Explored 2723 nodes (16351 simplex iterations) in 1.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.15004 1.11602 1.09935
Optimal solution found (tolerance 1.00e-02)
Best objective 1.150043549497e+00, best bound 1.160251239900e+00, gap 0.8876%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpafeg8boe.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf1beb_ep.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07886
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.574077e+00, 372 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57408 0 34 1.07886 1.57408 45.9% - 0s
0 0 1.21530 0 32 1.07886 1.21530 12.6% - 0s
0 0 1.21530 0 32 1.07886 1.21530 12.6% - 0s
0 0 1.20326 0 32 1.07886 1.20326 11.5% - 0s
0 0 1.19434 0 31 1.07886 1.19434 10.7% - 0s
0 0 1.19431 0 32 1.07886 1.19431 10.7% - 0s
0 0 1.19431 0 31 1.07886 1.19431 10.7% - 0s
0 0 1.19402 0 33 1.07886 1.19402 10.7% - 0s
0 0 1.19402 0 27 1.07886 1.19402 10.7% - 0s
0 2 1.19402 0 27 1.07886 1.19402 10.7% - 0s
* 230 108 37 1.0788595 1.15175 6.76% 5.0 0s
Cutting planes:
Gomory: 18
Cover: 17
Implied bound: 26
MIR: 3
Flow cover: 18
Inf proof: 24
Explored 1527 nodes (10194 simplex iterations) in 1.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.07886 1.07886
Optimal solution found (tolerance 1.00e-02)
Best objective 1.078859520255e+00, best bound 1.086484164569e+00, gap 0.7067%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp96_a210s.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprapdkbp_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01041
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.541865e+00, 391 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54186 0 42 1.01041 1.54186 52.6% - 0s
0 0 1.19222 0 37 1.01041 1.19222 18.0% - 0s
0 0 1.19222 0 37 1.01041 1.19222 18.0% - 0s
0 0 1.18640 0 45 1.01041 1.18640 17.4% - 0s
0 0 1.18635 0 43 1.01041 1.18635 17.4% - 0s
0 0 1.18605 0 43 1.01041 1.18605 17.4% - 0s
0 0 1.18605 0 40 1.01041 1.18605 17.4% - 0s
0 2 1.18605 0 40 1.01041 1.18605 17.4% - 0s
* 140 95 48 1.0262497 1.14268 11.3% 6.0 0s
* 2285 521 46 1.0278147 1.09012 6.06% 7.8 1s
* 3474 432 42 1.0461958 1.07570 2.82% 7.9 2s
* 4031 64 42 1.0490129 1.05738 0.80% 8.0 2s
Cutting planes:
Gomory: 26
Cover: 20
Implied bound: 33
MIR: 3
Flow cover: 26
Inf proof: 51
Explored 4075 nodes (33434 simplex iterations) in 2.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.04901 1.0462 1.02781 ... 1.01041
Optimal solution found (tolerance 1.00e-02)
Best objective 1.049012927055e+00, best bound 1.054711607519e+00, gap 0.5432%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9e77pt74.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprl4o291h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.977669
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.482967e+00, 421 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48297 0 49 0.97767 1.48297 51.7% - 0s
0 0 1.14368 0 46 0.97767 1.14368 17.0% - 0s
0 0 1.13857 0 52 0.97767 1.13857 16.5% - 0s
0 0 1.13850 0 49 0.97767 1.13850 16.5% - 0s
0 0 1.13790 0 51 0.97767 1.13790 16.4% - 0s
0 0 1.13790 0 51 0.97767 1.13790 16.4% - 0s
0 2 1.13790 0 49 0.97767 1.13790 16.4% - 0s
H 1470 512 0.9951990 1.06848 7.36% 7.3 0s
Cutting planes:
Gomory: 50
Cover: 1
Implied bound: 5
Projected implied bound: 23
Clique: 1
MIR: 6
Flow cover: 14
Inf proof: 10
Explored 2395 nodes (21381 simplex iterations) in 2.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.995199 0.977669
Optimal solution found (tolerance 1.00e-02)
Best objective 9.951989983541e-01, best bound 9.983570296965e-01, gap 0.3173%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphgel7h26.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph509pqyb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934069
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.427335e+00, 474 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42734 0 52 0.93407 1.42734 52.8% - 0s
0 0 1.09991 0 53 0.93407 1.09991 17.8% - 0s
0 0 1.09501 0 62 0.93407 1.09501 17.2% - 0s
0 0 1.09495 0 62 0.93407 1.09495 17.2% - 0s
0 0 1.09464 0 65 0.93407 1.09464 17.2% - 0s
0 0 1.09464 0 58 0.93407 1.09464 17.2% - 0s
0 2 1.09464 0 58 0.93407 1.09464 17.2% - 0s
* 1464 530 72 0.9357902 1.02692 9.74% 7.3 1s
H 1468 521 0.9403978 1.02640 9.14% 7.3 1s
* 1818 507 81 0.9403978 1.01513 7.95% 8.5 2s
* 1822 476 81 0.9419189 1.01513 7.77% 8.5 2s
* 1824 452 80 0.9423660 1.01513 7.72% 8.5 2s
* 2602 194 78 0.9439544 0.97168 2.94% 8.5 3s
* 2988 85 73 0.9464081 0.95804 1.23% 8.3 4s
Cutting planes:
Gomory: 52
Cover: 5
Implied bound: 7
Projected implied bound: 22
MIR: 7
Flow cover: 31
Inf proof: 20
Explored 3050 nodes (25922 simplex iterations) in 4.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.946408 0.943954 0.942366 ... 0.934069
Optimal solution found (tolerance 1.00e-02)
Best objective 9.464081413580e-01, best bound 9.550723976767e-01, gap 0.9155%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyugkzdk4.pyomo.lp
Reading time = 0.00 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnfrm0hnr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.95461
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.412053e+00, 480 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41205 0 55 0.95461 1.41205 47.9% - 0s
0 0 1.12452 0 61 0.95461 1.12452 17.8% - 0s
0 0 1.11930 0 74 0.95461 1.11930 17.3% - 0s
0 0 1.11923 0 74 0.95461 1.11923 17.2% - 0s
0 0 1.11895 0 75 0.95461 1.11895 17.2% - 0s
0 0 1.11895 0 66 0.95461 1.11895 17.2% - 0s
0 2 1.11895 0 66 0.95461 1.11895 17.2% - 0s
* 2635 646 61 0.9618737 1.04589 8.73% 11.1 3s
4084 652 cutoff 28 0.96187 1.02148 6.20% 12.2 5s
H 4091 576 0.9684922 1.02148 5.47% 12.2 5s
H 5048 451 0.9684922 1.00151 3.41% 12.5 6s
Cutting planes:
Gomory: 62
Cover: 7
Implied bound: 12
Projected implied bound: 25
MIR: 14
Flow cover: 40
Inf proof: 24
Explored 6096 nodes (75192 simplex iterations) in 7.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.968492 0.968492 0.961874 0.95461
Optimal solution found (tolerance 1.00e-02)
Best objective 9.684922364543e-01, best bound 9.771650999808e-01, gap 0.8955%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxgo2v3li.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsbc_ywxf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.940978
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.349138e+00, 487 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34914 0 56 0.94098 1.34914 43.4% - 0s
0 0 1.09517 0 59 0.94098 1.09517 16.4% - 0s
0 0 1.09067 0 68 0.94098 1.09067 15.9% - 0s
0 0 1.09067 0 68 0.94098 1.09067 15.9% - 0s
0 0 1.09037 0 75 0.94098 1.09037 15.9% - 0s
0 0 1.09037 0 68 0.94098 1.09037 15.9% - 0s
0 2 1.09037 0 68 0.94098 1.09037 15.9% - 0s
Cutting planes:
Gomory: 51
Cover: 7
Implied bound: 15
Projected implied bound: 22
MIR: 5
Flow cover: 35
Inf proof: 22
Explored 3641 nodes (42640 simplex iterations) in 4.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.940978
Optimal solution found (tolerance 1.00e-02)
Best objective 9.409776660688e-01, best bound 9.498506727018e-01, gap 0.9430%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6nxz3nrt.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9zjk2p0q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923332
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.307853e+00, 534 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30785 0 62 0.92333 1.30785 41.6% - 0s
0 0 1.07786 0 62 0.92333 1.07786 16.7% - 0s
0 0 1.07355 0 67 0.92333 1.07355 16.3% - 0s
0 0 1.07355 0 67 0.92333 1.07355 16.3% - 0s
0 0 1.07263 0 64 0.92333 1.07263 16.2% - 0s
0 0 1.07263 0 60 0.92333 1.07263 16.2% - 0s
0 2 1.07263 0 60 0.92333 1.07263 16.2% - 0s
Cutting planes:
Gomory: 69
Cover: 4
Implied bound: 14
Projected implied bound: 18
MIR: 14
Flow cover: 37
Inf proof: 19
Explored 3591 nodes (47670 simplex iterations) in 4.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.923332
Optimal solution found (tolerance 1.00e-02)
Best objective 9.233319073479e-01, best bound 9.321406573487e-01, gap 0.9540%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvl9qhbyh.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp98jg41xk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910331
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.271254e+00, 536 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27125 0 63 0.91033 1.27125 39.6% - 0s
0 0 1.09056 0 70 0.91033 1.09056 19.8% - 0s
0 0 1.07099 0 80 0.91033 1.07099 17.6% - 0s
0 0 1.07083 0 80 0.91033 1.07083 17.6% - 0s
0 0 1.06980 0 71 0.91033 1.06980 17.5% - 0s
0 0 1.06978 0 74 0.91033 1.06978 17.5% - 0s
0 0 1.06850 0 75 0.91033 1.06850 17.4% - 0s
0 0 1.06850 0 71 0.91033 1.06850 17.4% - 0s
0 2 1.06850 0 69 0.91033 1.06850 17.4% - 0s
Cutting planes:
Gomory: 66
Cover: 3
Implied bound: 10
Projected implied bound: 33
Clique: 2
MIR: 10
Flow cover: 36
Inf proof: 16
Explored 3770 nodes (47495 simplex iterations) in 4.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.910331
Optimal solution found (tolerance 1.00e-02)
Best objective 9.103308543518e-01, best bound 9.174386805865e-01, gap 0.7808%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpim8agwvj.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmpk8dopb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.915679
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.241777e+00, 581 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24178 0 66 0.91568 1.24178 35.6% - 0s
0 0 1.09375 0 70 0.91568 1.09375 19.4% - 0s
0 0 1.08946 0 78 0.91568 1.08946 19.0% - 0s
0 0 1.08945 0 78 0.91568 1.08945 19.0% - 0s
0 0 1.08879 0 79 0.91568 1.08879 18.9% - 0s
0 0 1.08879 0 67 0.91568 1.08879 18.9% - 0s
0 2 1.08879 0 67 0.91568 1.08879 18.9% - 0s
* 3626 424 70 0.9156794 0.94840 3.57% 11.0 4s
4161 366 cutoff 27 0.91568 0.93559 2.17% 11.0 5s
Cutting planes:
Gomory: 67
Cover: 4
Implied bound: 12
Projected implied bound: 29
MIR: 10
Flow cover: 23
Inf proof: 31
Explored 4742 nodes (52356 simplex iterations) in 5.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.915679 0.915679
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.6538e-06) exceeds tolerance
Best objective 9.156794272508e-01, best bound 9.241324308373e-01, gap 0.9231%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp84hj8ymm.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps5fdqx4b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.91256
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.233787e+00, 607 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23379 0 65 0.91256 1.23379 35.2% - 0s
0 0 1.09805 0 68 0.91256 1.09805 20.3% - 0s
0 0 1.09805 0 68 0.91256 1.09805 20.3% - 0s
0 0 1.09470 0 76 0.91256 1.09470 20.0% - 0s
0 0 1.09467 0 75 0.91256 1.09467 20.0% - 0s
0 0 1.09101 0 83 0.91256 1.09101 19.6% - 0s
0 0 1.09079 0 87 0.91256 1.09079 19.5% - 0s
0 0 1.09032 0 83 0.91256 1.09032 19.5% - 0s
0 0 1.09032 0 73 0.91256 1.09032 19.5% - 0s
0 2 1.09032 0 73 0.91256 1.09032 19.5% - 0s
Cutting planes:
Gomory: 63
Implied bound: 8
Projected implied bound: 31
Clique: 1
MIR: 4
Flow cover: 22
Inf proof: 12
Explored 3001 nodes (30954 simplex iterations) in 4.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.91256
Optimal solution found (tolerance 1.00e-02)
Best objective 9.125596395401e-01, best bound 9.197518881926e-01, gap 0.7881%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4q7qbx8u.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc8xdtygg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910427
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.228261e+00, 647 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22826 0 68 0.91043 1.22826 34.9% - 0s
0 0 1.09202 0 75 0.91043 1.09202 19.9% - 0s
0 0 1.08967 0 74 0.91043 1.08967 19.7% - 0s
0 0 1.08963 0 73 0.91043 1.08963 19.7% - 0s
0 0 1.08888 0 84 0.91043 1.08888 19.6% - 0s
0 0 1.08886 0 83 0.91043 1.08886 19.6% - 0s
0 0 1.08724 0 87 0.91043 1.08724 19.4% - 0s
0 0 1.08709 0 90 0.91043 1.08709 19.4% - 0s
0 0 1.08678 0 84 0.91043 1.08678 19.4% - 0s
0 0 1.08678 0 73 0.91043 1.08678 19.4% - 0s
0 2 1.08678 0 73 0.91043 1.08678 19.4% - 0s
Cutting planes:
Gomory: 60
Cover: 5
Implied bound: 11
Projected implied bound: 30
MIR: 10
Flow cover: 30
Inf proof: 23
Explored 4706 nodes (48606 simplex iterations) in 5.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.910427
Optimal solution found (tolerance 1.00e-02)
Best objective 9.104272415572e-01, best bound 9.167365788760e-01, gap 0.6930%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp47v2lwor.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpakpyorrs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.902195
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.214446e+00, 702 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21445 0 71 0.90220 1.21445 34.6% - 0s
0 0 1.08679 0 79 0.90220 1.08679 20.5% - 0s
0 0 1.08391 0 80 0.90220 1.08391 20.1% - 0s
0 0 1.08391 0 80 0.90220 1.08391 20.1% - 0s
0 0 1.08227 0 89 0.90220 1.08227 20.0% - 0s
0 0 1.08218 0 95 0.90220 1.08218 19.9% - 0s
0 0 1.08172 0 90 0.90220 1.08172 19.9% - 0s
0 0 1.08172 0 81 0.90220 1.08172 19.9% - 0s
0 2 1.08172 0 81 0.90220 1.08172 19.9% - 0s
Cutting planes:
Gomory: 65
Cover: 1
Implied bound: 12
Projected implied bound: 39
MIR: 4
Flow cover: 19
Inf proof: 24
Zero half: 1
Explored 3810 nodes (42133 simplex iterations) in 4.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.902195
Optimal solution found (tolerance 1.00e-02)
Best objective 9.021954322565e-01, best bound 9.097552412390e-01, gap 0.8379%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphp7q5280.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvnpw5ag3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.902053
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.209394e+00, 683 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20939 0 76 0.90205 1.20939 34.1% - 0s
0 0 1.08642 0 79 0.90205 1.08642 20.4% - 0s
0 0 1.08642 0 79 0.90205 1.08642 20.4% - 0s
0 0 1.08186 0 83 0.90205 1.08186 19.9% - 0s
0 0 1.08184 0 83 0.90205 1.08184 19.9% - 0s
0 0 1.08126 0 92 0.90205 1.08126 19.9% - 0s
0 0 1.08126 0 86 0.90205 1.08126 19.9% - 0s
0 2 1.08126 0 85 0.90205 1.08126 19.9% - 0s
3311 470 0.92812 40 50 0.90205 0.93593 3.76% 12.8 5s
Cutting planes:
Gomory: 65
Cover: 5
Implied bound: 15
Projected implied bound: 37
MIR: 2
Flow cover: 31
Inf proof: 36
Explored 6474 nodes (73872 simplex iterations) in 7.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.902053
Optimal solution found (tolerance 1.00e-02)
Best objective 9.020534120282e-01, best bound 9.103713837464e-01, gap 0.9221%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7ckpe0ky.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9c0jmqr7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.888426
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.201061e+00, 720 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20106 0 79 0.88843 1.20106 35.2% - 0s
0 0 1.08732 0 84 0.88843 1.08732 22.4% - 0s
0 0 1.08288 0 91 0.88843 1.08288 21.9% - 0s
0 0 1.08286 0 91 0.88843 1.08286 21.9% - 0s
0 0 1.08179 0 97 0.88843 1.08179 21.8% - 0s
0 0 1.08178 0 97 0.88843 1.08178 21.8% - 0s
0 0 1.08178 0 96 0.88843 1.08178 21.8% - 0s
0 0 1.08178 0 88 0.88843 1.08178 21.8% - 0s
0 2 1.08178 0 88 0.88843 1.08178 21.8% - 0s
2652 654 0.93105 29 72 0.88843 0.93554 5.30% 12.8 5s
* 3584 779 103 0.8910433 0.92788 4.13% 13.1 6s
* 5850 988 94 0.8921074 0.91561 2.63% 12.7 9s
* 5996 629 89 0.8990895 0.91373 1.63% 12.7 9s
6543 656 cutoff 55 0.89909 0.91128 1.36% 12.5 10s
* 6631 576 85 0.9008436 0.91128 1.16% 12.4 10s
* 7085 494 84 0.9023068 0.90904 0.75% 12.2 10s
Cutting planes:
Gomory: 73
Cover: 3
Implied bound: 19
Projected implied bound: 39
Clique: 3
MIR: 3
Flow cover: 42
Inf proof: 53
Explored 7106 nodes (87886 simplex iterations) in 10.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.902307 0.900844 0.899089 ... 0.888426
Optimal solution found (tolerance 1.00e-02)
Best objective 9.023068392929e-01, best bound 9.090388635469e-01, gap 0.7461%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfylqpty7.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw49pg0d6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878354
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.163008e+00, 760 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16301 0 78 0.87835 1.16301 32.4% - 0s
0 0 1.05659 0 83 0.87835 1.05659 20.3% - 0s
0 0 1.05659 0 85 0.87835 1.05659 20.3% - 0s
0 0 1.05425 0 84 0.87835 1.05425 20.0% - 0s
0 0 1.05408 0 90 0.87835 1.05408 20.0% - 0s
0 0 1.05276 0 97 0.87835 1.05276 19.9% - 0s
0 0 1.05265 0 96 0.87835 1.05265 19.8% - 0s
0 0 1.05247 0 101 0.87835 1.05247 19.8% - 0s
0 0 1.05247 0 89 0.87835 1.05247 19.8% - 0s
0 2 1.05247 0 89 0.87835 1.05247 19.8% - 0s
3187 469 cutoff 48 0.87835 0.91216 3.85% 12.7 5s
Cutting planes:
Gomory: 71
Cover: 2
Implied bound: 17
Projected implied bound: 36
MIR: 7
Flow cover: 29
Inf proof: 41
Explored 5979 nodes (71887 simplex iterations) in 7.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.878354
Optimal solution found (tolerance 1.00e-02)
Best objective 8.783541808356e-01, best bound 8.869396457494e-01, gap 0.9774%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuwl8ch5j.pyomo.lp
Reading time = 0.00 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmnsfvdut.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869149
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.146166e+00, 799 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14617 0 84 0.86915 1.14617 31.9% - 0s
0 0 1.04241 0 88 0.86915 1.04241 19.9% - 0s
0 0 1.04241 0 88 0.86915 1.04241 19.9% - 0s
0 0 1.04046 0 85 0.86915 1.04046 19.7% - 0s
0 0 1.04038 0 85 0.86915 1.04038 19.7% - 0s
0 0 1.04026 0 93 0.86915 1.04026 19.7% - 0s
0 0 1.04026 0 85 0.86915 1.04026 19.7% - 0s
0 2 1.04026 0 85 0.86915 1.04026 19.7% - 0s
2606 248 0.90115 43 60 0.86915 0.90632 4.28% 15.3 5s
Cutting planes:
Gomory: 79
Cover: 2
Implied bound: 17
Projected implied bound: 39
MIR: 9
Flow cover: 33
Inf proof: 33
Explored 4865 nodes (59277 simplex iterations) in 7.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.869149
Optimal solution found (tolerance 1.00e-02)
Best objective 8.691493493160e-01, best bound 8.773402405321e-01, gap 0.9424%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiroq3kjd.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw5hwciir.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853177
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.121482e+00, 834 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12148 0 83 0.85318 1.12148 31.4% - 0s
0 0 1.02271 0 86 0.85318 1.02271 19.9% - 0s
0 0 1.02271 0 88 0.85318 1.02271 19.9% - 0s
0 0 1.02122 0 88 0.85318 1.02122 19.7% - 0s
0 0 1.02110 0 86 0.85318 1.02110 19.7% - 0s
0 0 1.02026 0 88 0.85318 1.02026 19.6% - 0s
0 0 1.02002 0 95 0.85318 1.02002 19.6% - 0s
0 0 1.02001 0 101 0.85318 1.02001 19.6% - 0s
0 0 1.02001 0 94 0.85318 1.02001 19.6% - 0s
0 2 1.02001 0 94 0.85318 1.02001 19.6% - 0s
2006 399 cutoff 31 0.85318 0.90915 6.56% 16.9 5s
5974 311 0.85428 62 42 0.85318 0.86392 1.26% 15.3 10s
Cutting planes:
Gomory: 86
Cover: 1
Implied bound: 22
Projected implied bound: 46
MIR: 5
Flow cover: 48
Inf proof: 59
Explored 6236 nodes (95141 simplex iterations) in 10.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.853177
Optimal solution found (tolerance 1.00e-02)
Best objective 8.531765635821e-01, best bound 8.616436464063e-01, gap 0.9924%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj8ov6dui.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyhstkt0z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853895
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.113326e+00, 852 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11333 0 84 0.85389 1.11333 30.4% - 0s
0 0 1.02360 0 82 0.85389 1.02360 19.9% - 0s
0 0 1.01929 0 99 0.85389 1.01929 19.4% - 0s
0 0 1.01922 0 100 0.85389 1.01922 19.4% - 0s
0 0 1.01905 0 94 0.85389 1.01905 19.3% - 0s
0 0 1.01905 0 87 0.85389 1.01905 19.3% - 0s
0 2 1.01905 0 86 0.85389 1.01905 19.3% - 0s
2175 348 0.85988 52 54 0.85389 0.89585 4.91% 13.7 5s
Cutting planes:
Gomory: 81
Implied bound: 6
Projected implied bound: 44
MIR: 9
Flow cover: 31
Inf proof: 28
Explored 5648 nodes (66532 simplex iterations) in 8.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.853895
Optimal solution found (tolerance 1.00e-02)
Best objective 8.538947770681e-01, best bound 8.615118270314e-01, gap 0.8920%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp753rs_wd.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqn4uigmn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.853847
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.107230e+00, 839 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10723 0 85 0.85385 1.10723 29.7% - 0s
0 0 1.02429 0 88 0.85385 1.02429 20.0% - 0s
0 0 1.02429 0 90 0.85385 1.02429 20.0% - 0s
0 0 1.02180 0 95 0.85385 1.02180 19.7% - 0s
0 0 1.02173 0 93 0.85385 1.02173 19.7% - 0s
0 0 1.02061 0 102 0.85385 1.02061 19.5% - 0s
0 0 1.02059 0 105 0.85385 1.02059 19.5% - 0s
0 0 1.02058 0 105 0.85385 1.02058 19.5% - 0s
0 0 1.02058 0 96 0.85385 1.02058 19.5% - 0s
0 2 1.02058 0 96 0.85385 1.02058 19.5% - 0s
1685 467 cutoff 35 0.85385 0.92454 8.28% 16.9 5s
4224 751 cutoff 31 0.85385 0.90130 5.56% 19.4 10s
H 4225 751 0.8538472 0.90130 5.56% 19.4 10s
7239 710 cutoff 37 0.85385 0.87834 2.87% 19.5 15s
Cutting planes:
Gomory: 86
Cover: 1
Implied bound: 20
Projected implied bound: 53
MIR: 9
Flow cover: 55
Inf proof: 76
Explored 10641 nodes (181485 simplex iterations) in 18.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.853847 0.853847
Optimal solution found (tolerance 1.00e-02)
Best objective 8.538472316454e-01, best bound 8.617141059255e-01, gap 0.9213%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw6aa0y4c.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy23rf5ou.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.850333
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.094084e+00, 911 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09408 0 90 0.85033 1.09408 28.7% - 0s
0 0 1.02067 0 92 0.85033 1.02067 20.0% - 0s
0 0 1.02067 0 94 0.85033 1.02067 20.0% - 0s
0 0 1.01857 0 102 0.85033 1.01857 19.8% - 0s
0 0 1.01848 0 101 0.85033 1.01848 19.8% - 0s
0 0 1.01582 0 108 0.85033 1.01582 19.5% - 0s
0 0 1.01579 0 109 0.85033 1.01579 19.5% - 0s
0 0 1.01544 0 110 0.85033 1.01544 19.4% - 0s
0 0 1.01544 0 100 0.85033 1.01544 19.4% - 0s
0 2 1.01544 0 100 0.85033 1.01544 19.4% - 0s
1397 555 0.85664 25 92 0.85033 0.92651 8.96% 17.1 5s
5236 903 0.85518 70 36 0.85033 0.87429 2.82% 16.6 10s
Cutting planes:
Gomory: 89
Cover: 5
Implied bound: 33
Projected implied bound: 51
MIR: 13
Flow cover: 51
Inf proof: 52
Explored 8294 nodes (128582 simplex iterations) in 13.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.850333
Optimal solution found (tolerance 1.00e-02)
Best objective 8.503331031879e-01, best bound 8.584951160447e-01, gap 0.9599%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp17ls3b8g.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppleh4r_1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.849309
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.090740e+00, 924 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09074 0 91 0.84931 1.09074 28.4% - 0s
0 0 1.01482 0 97 0.84931 1.01482 19.5% - 0s
0 0 1.01482 0 99 0.84931 1.01482 19.5% - 0s
0 0 1.01268 0 102 0.84931 1.01268 19.2% - 0s
0 0 1.01266 0 101 0.84931 1.01266 19.2% - 0s
0 0 1.01190 0 102 0.84931 1.01190 19.1% - 0s
0 0 1.01154 0 114 0.84931 1.01154 19.1% - 0s
0 0 1.01104 0 108 0.84931 1.01104 19.0% - 0s
0 0 1.01103 0 110 0.84931 1.01103 19.0% - 0s
0 0 1.01095 0 110 0.84931 1.01095 19.0% - 0s
0 0 1.01095 0 103 0.84931 1.01095 19.0% - 0s
0 2 1.01095 0 103 0.84931 1.01095 19.0% - 0s
1541 408 0.89842 33 86 0.84931 0.90904 7.03% 19.8 5s
H 3430 429 0.8493089 0.87783 3.36% 18.4 8s
4317 429 cutoff 51 0.84931 0.87070 2.52% 17.6 10s
Cutting planes:
Gomory: 93
Cover: 1
Implied bound: 26
Projected implied bound: 50
Clique: 1
MIR: 10
Flow cover: 44
Inf proof: 38
Explored 6105 nodes (95847 simplex iterations) in 12.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.849309 0.849309
Optimal solution found (tolerance 1.00e-02)
Best objective 8.493089037397e-01, best bound 8.576494766994e-01, gap 0.9820%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6n2hwx28.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprly81fhl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.832347
Presolve removed 606 rows and 393 columns
Presolve time: 0.04s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.074126e+00, 909 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07413 0 95 0.83235 1.07413 29.0% - 0s
0 0 1.00067 0 108 0.83235 1.00067 20.2% - 0s
0 0 1.00067 0 108 0.83235 1.00067 20.2% - 0s
0 0 0.99934 0 108 0.83235 0.99934 20.1% - 0s
0 0 0.99933 0 107 0.83235 0.99933 20.1% - 0s
0 0 0.99922 0 111 0.83235 0.99922 20.0% - 0s
0 0 0.99922 0 101 0.83235 0.99922 20.0% - 0s
0 2 0.99922 0 100 0.83235 0.99922 20.0% - 0s
2142 428 0.85047 40 87 0.83235 0.88989 6.91% 17.7 5s
5895 1042 infeasible 43 0.83235 0.85671 2.93% 16.4 10s
H 8263 1461 0.8323466 0.85060 2.19% 15.5 12s
9479 1593 0.83942 62 53 0.83235 0.84807 1.89% 15.2 15s
Cutting planes:
Gomory: 91
Cover: 4
Implied bound: 19
Projected implied bound: 42
MIR: 7
Flow cover: 36
Inf proof: 80
Explored 12640 nodes (187385 simplex iterations) in 19.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.832347 0.832347
Optimal solution found (tolerance 1.00e-02)
Best objective 8.323465794693e-01, best bound 8.405480048904e-01, gap 0.9853%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4_cwjb8c.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptckrne4c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812404
Presolve removed 620 rows and 402 columns
Presolve time: 0.02s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.047133e+00, 982 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04713 0 98 0.81240 1.04713 28.9% - 0s
0 0 0.97532 0 111 0.81240 0.97532 20.1% - 0s
0 0 0.97532 0 113 0.81240 0.97532 20.1% - 0s
0 0 0.97338 0 114 0.81240 0.97338 19.8% - 0s
0 0 0.97337 0 113 0.81240 0.97337 19.8% - 0s
0 0 0.97218 0 116 0.81240 0.97218 19.7% - 0s
0 0 0.97218 0 120 0.81240 0.97218 19.7% - 0s
0 0 0.97209 0 119 0.81240 0.97209 19.7% - 0s
0 0 0.97209 0 107 0.81240 0.97209 19.7% - 0s
0 2 0.97209 0 106 0.81240 0.97209 19.7% - 0s
1761 612 cutoff 35 0.81240 0.88283 8.67% 16.5 5s
4287 633 infeasible 42 0.81240 0.84817 4.40% 20.2 10s
8345 883 cutoff 50 0.81240 0.82468 1.51% 16.9 15s
Cutting planes:
Gomory: 89
Cover: 3
Implied bound: 25
Projected implied bound: 53
MIR: 13
Flow cover: 49
Inf proof: 69
Explored 10801 nodes (164922 simplex iterations) in 17.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.812404
Optimal solution found (tolerance 1.00e-02)
Best objective 8.124043389556e-01, best bound 8.204299697484e-01, gap 0.9879%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw2w3qdqf.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp41vx3vkw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.803393
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.031396e+00, 1039 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03140 0 102 0.80339 1.03140 28.4% - 0s
0 0 0.99152 0 107 0.80339 0.99152 23.4% - 0s
0 0 0.99152 0 107 0.80339 0.99152 23.4% - 0s
0 0 0.98281 0 114 0.80339 0.98281 22.3% - 0s
0 0 0.98281 0 114 0.80339 0.98281 22.3% - 0s
0 0 0.98265 0 118 0.80339 0.98265 22.3% - 0s
0 0 0.98250 0 124 0.80339 0.98250 22.3% - 0s
0 0 0.98250 0 120 0.80339 0.98250 22.3% - 0s
0 2 0.98250 0 119 0.80339 0.98250 22.3% - 0s
1338 498 cutoff 31 0.80339 0.87102 8.42% 20.2 5s
4111 707 0.80872 49 82 0.80339 0.83275 3.65% 20.4 10s
7927 1181 0.80383 62 63 0.80339 0.81803 1.82% 17.2 15s
Cutting planes:
Gomory: 98
Cover: 5
Implied bound: 19
Projected implied bound: 23
Clique: 1
MIR: 18
Flow cover: 61
Inf proof: 76
Explored 11599 nodes (184225 simplex iterations) in 19.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.803393
Optimal solution found (tolerance 1.00e-02)
Best objective 8.033925945412e-01, best bound 8.105679645172e-01, gap 0.8931%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo86tyccw.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9gknezeb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.783122
Presolve removed 648 rows and 420 columns
Presolve time: 0.05s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.020135e+00, 1051 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02013 0 104 0.78312 1.02013 30.3% - 0s
0 0 0.95734 0 110 0.78312 0.95734 22.2% - 0s
0 0 0.95734 0 112 0.78312 0.95734 22.2% - 0s
0 0 0.95545 0 105 0.78312 0.95545 22.0% - 0s
0 0 0.95544 0 104 0.78312 0.95544 22.0% - 0s
0 0 0.95421 0 115 0.78312 0.95421 21.8% - 0s
0 0 0.95416 0 118 0.78312 0.95416 21.8% - 0s
0 0 0.95389 0 121 0.78312 0.95389 21.8% - 0s
0 0 0.95389 0 112 0.78312 0.95389 21.8% - 0s
0 2 0.95389 0 112 0.78312 0.95389 21.8% - 0s
1089 539 0.79759 69 73 0.78312 0.89647 14.5% 20.6 5s
H 3068 741 0.7831223 0.84903 8.42% 24.8 9s
3189 785 0.79403 52 87 0.78312 0.84761 8.23% 24.6 10s
H 3668 980 0.7855949 0.84440 7.49% 23.8 11s
5114 1322 0.82081 41 87 0.78559 0.83575 6.38% 23.3 15s
H 5861 1171 0.7963260 0.83223 4.51% 23.4 17s
H 5863 1161 0.7965884 0.83223 4.47% 23.4 17s
6732 1222 0.80347 46 89 0.79659 0.82887 4.05% 23.5 20s
9723 1619 infeasible 45 0.79659 0.82041 2.99% 22.6 25s
13116 2284 cutoff 59 0.79659 0.81402 2.19% 20.5 30s
H15098 2514 0.7965884 0.81139 1.86% 19.7 33s
16037 2498 infeasible 72 0.79659 0.81042 1.74% 19.3 35s
19062 2313 0.80773 82 60 0.79659 0.80773 1.40% 18.5 40s
Cutting planes:
Gomory: 113
Cover: 5
Implied bound: 35
Projected implied bound: 47
MIR: 17
Flow cover: 55
Inf proof: 131
Explored 22517 nodes (397948 simplex iterations) in 44.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.796588 0.796588 0.796326 ... 0.783122
Optimal solution found (tolerance 1.00e-02)
Best objective 7.965884412617e-01, best bound 8.041962329593e-01, gap 0.9550%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptupnxyhq.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8w1k6sfe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.784893
Presolve removed 662 rows and 429 columns
Presolve time: 0.02s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.007092e+00, 1014 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00709 0 103 0.78489 1.00709 28.3% - 0s
0 0 0.94926 0 117 0.78489 0.94926 20.9% - 0s
0 0 0.94926 0 117 0.78489 0.94926 20.9% - 0s
0 0 0.94670 0 116 0.78489 0.94670 20.6% - 0s
0 0 0.94669 0 114 0.78489 0.94669 20.6% - 0s
0 0 0.94544 0 121 0.78489 0.94544 20.5% - 0s
0 0 0.94541 0 127 0.78489 0.94541 20.5% - 0s
0 0 0.94508 0 130 0.78489 0.94508 20.4% - 0s
0 0 0.94508 0 114 0.78489 0.94508 20.4% - 0s
0 2 0.94508 0 112 0.78489 0.94508 20.4% - 0s
1051 457 0.86594 19 111 0.78489 0.88800 13.1% 21.5 5s
3066 688 0.80423 51 97 0.78489 0.83598 6.51% 25.8 10s
H 3198 717 0.7855300 0.83382 6.15% 25.9 10s
5298 1274 0.79387 42 105 0.78553 0.81850 4.20% 24.1 15s
8159 1769 0.80161 42 100 0.78553 0.80997 3.11% 22.6 20s
10990 1860 cutoff 50 0.78553 0.80429 2.39% 22.5 25s
14850 1963 0.79785 79 62 0.78553 0.79785 1.57% 21.3 30s
18392 2626 0.78717 83 60 0.78553 0.79543 1.26% 19.4 35s
23188 3317 0.79187 88 45 0.78553 0.79375 1.05% 17.6 40s
Cutting planes:
Gomory: 90
Cover: 2
Implied bound: 32
Projected implied bound: 49
MIR: 18
Flow cover: 68
Inf proof: 105
Explored 25065 nodes (434421 simplex iterations) in 42.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.78553 0.784893
Optimal solution found (tolerance 1.00e-02)
Best objective 7.855300290224e-01, best bound 7.932008338185e-01, gap 0.9765%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyc8ky7lv.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp776c2mu6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.780053
Presolve removed 676 rows and 438 columns
Presolve time: 0.05s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 9.972039e-01, 1106 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99720 0 106 0.78005 0.99720 27.8% - 0s
0 0 0.94094 0 118 0.78005 0.94094 20.6% - 0s
0 0 0.94094 0 118 0.78005 0.94094 20.6% - 0s
0 0 0.93821 0 121 0.78005 0.93821 20.3% - 0s
0 0 0.93814 0 120 0.78005 0.93814 20.3% - 0s
0 0 0.93704 0 124 0.78005 0.93704 20.1% - 0s
0 0 0.93703 0 132 0.78005 0.93703 20.1% - 0s
0 0 0.93654 0 130 0.78005 0.93654 20.1% - 0s
0 0 0.93654 0 130 0.78005 0.93654 20.1% - 0s
0 0 0.93653 0 131 0.78005 0.93653 20.1% - 0s
0 0 0.93653 0 119 0.78005 0.93653 20.1% - 0s
0 2 0.93653 0 116 0.78005 0.93653 20.1% - 0s
1374 577 0.80021 26 103 0.78005 0.87637 12.3% 21.6 5s
4108 975 cutoff 36 0.78005 0.82066 5.21% 21.1 10s
6963 1270 0.79305 46 91 0.78005 0.80621 3.35% 19.7 15s
10099 1462 0.79597 57 76 0.78005 0.79804 2.31% 18.1 20s
13134 1791 0.78228 70 66 0.78005 0.79407 1.80% 16.9 25s
16957 1569 0.78737 61 76 0.78005 0.78836 1.07% 16.2 30s
Cutting planes:
Gomory: 95
Cover: 6
Implied bound: 38
Projected implied bound: 59
MIR: 15
Flow cover: 47
Inf proof: 112
Explored 17232 nodes (280874 simplex iterations) in 30.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.780053
Optimal solution found (tolerance 1.00e-02)
Best objective 7.800526393774e-01, best bound 7.878263179077e-01, gap 0.9966%
Run 7
Seed for training 967
Seed for simulation 108
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.77231909e-01, 8.00429233e-04, 5.41350528e-08]])
fopt: 0.37316466280623584
fun: -0.37321772404463355
message: 'Optimization terminated successfully.'
nfev: 376
nit: 3
status: 0
success: True
x: array([222.59831655, 2.0007929 , 1.00008365])
xopt: array([222., 2., 1.])
zopt: array([222., 224., 225.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzbzrufse.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp49xlawuu.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.373165
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.711913e-01, 1078 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97119 0 100 0.37316 0.97119 160% - 0s
0 0 0.93259 0 97 0.37316 0.93259 150% - 0s
0 0 0.93259 0 97 0.37316 0.93259 150% - 0s
0 0 0.93092 0 113 0.37316 0.93092 149% - 0s
0 0 0.93059 0 110 0.37316 0.93059 149% - 0s
0 0 0.92955 0 113 0.37316 0.92955 149% - 0s
0 0 0.92954 0 114 0.37316 0.92954 149% - 0s
0 0 0.92939 0 117 0.37316 0.92939 149% - 0s
0 0 0.92905 0 119 0.37316 0.92905 149% - 0s
0 0 0.92905 0 122 0.37316 0.92905 149% - 0s
0 0 0.92905 0 121 0.37316 0.92905 149% - 0s
0 0 0.92905 0 121 0.37316 0.92905 149% - 0s
0 0 0.92905 0 121 0.37316 0.92905 149% - 0s
0 0 0.92905 0 110 0.37316 0.92905 149% - 0s
0 0 0.92905 0 108 0.37316 0.92905 149% - 0s
0 2 0.92905 0 108 0.37316 0.92905 149% - 0s
887 645 0.86024 28 97 0.37316 0.87431 134% 21.6 5s
* 1733 898 121 0.4259271 0.87431 105% 22.4 7s
3199 1708 0.69372 30 124 0.42593 0.87431 105% 23.3 10s
5529 3258 0.87431 27 109 0.42593 0.87431 105% 26.4 15s
7551 4437 0.76398 30 114 0.42593 0.87356 105% 29.1 20s
9900 5759 0.72138 41 108 0.42593 0.87061 104% 31.0 25s
11592 6636 0.70313 29 117 0.42593 0.86859 104% 32.4 30s
13506 7610 0.84089 34 124 0.42593 0.86591 103% 33.4 35s
H14706 6831 0.4989277 0.86429 73.2% 34.3 39s
H14716 6738 0.5026253 0.86429 72.0% 34.3 39s
H14717 6606 0.5089139 0.86429 69.8% 34.3 39s
14720 6590 0.59486 38 113 0.50891 0.86424 69.8% 34.3 40s
H14815 6462 0.5165341 0.86410 67.3% 34.3 40s
H14980 6509 0.5202620 0.86404 66.1% 34.4 42s
H14981 6457 0.5230375 0.86404 65.2% 34.4 42s
16016 6880 0.62336 37 115 0.52304 0.86188 64.8% 35.0 45s
17776 7674 infeasible 33 0.52304 0.86013 64.4% 35.8 50s
19471 8387 0.71649 34 115 0.52304 0.85811 64.1% 36.6 55s
20731 8849 0.54807 39 108 0.52304 0.85711 63.9% 37.4 72s
20741 8856 0.59408 41 170 0.52304 0.85332 63.1% 37.4 75s
20748 8860 0.68880 22 186 0.52304 0.84533 61.6% 37.4 80s
20755 8865 0.68889 35 188 0.52304 0.84160 60.9% 37.4 85s
20761 8869 0.73944 30 200 0.52304 0.83974 60.6% 37.4 90s
20766 8872 0.73188 33 198 0.52304 0.83817 60.2% 37.3 95s
20772 8876 0.57788 48 196 0.52304 0.83728 60.1% 37.3 101s
20778 8880 0.52386 59 199 0.52304 0.83641 59.9% 37.3 105s
20784 8884 0.68491 36 184 0.52304 0.83593 59.8% 37.3 111s
20789 8888 0.57412 38 188 0.52304 0.83549 59.7% 37.3 115s
20795 8892 0.63023 47 191 0.52304 0.83505 59.7% 37.3 120s
20800 8895 0.79112 32 192 0.52304 0.83376 59.4% 37.3 125s
20804 8898 0.55864 37 207 0.52304 0.83315 59.3% 37.3 130s
20810 8902 0.62682 35 210 0.52304 0.83255 59.2% 37.3 135s
20816 8906 0.69456 58 208 0.52304 0.83043 58.8% 37.3 141s
20820 8908 0.55864 37 207 0.52304 0.82683 58.1% 37.3 145s
20827 8913 0.55544 49 213 0.52304 0.82357 57.5% 37.2 150s
20832 8916 0.59822 38 232 0.52304 0.82210 57.2% 37.2 155s
20838 8920 0.81707 30 224 0.52304 0.81707 56.2% 37.2 160s
20842 8923 0.72607 51 229 0.52304 0.81682 56.2% 37.2 165s
20846 8926 0.68507 35 236 0.52304 0.81677 56.2% 37.2 171s
20850 8928 0.67822 30 231 0.52304 0.81674 56.2% 37.2 175s
20857 8933 0.77449 39 232 0.52304 0.81608 56.0% 37.2 180s
20863 8937 0.77342 31 226 0.52304 0.81590 56.0% 37.2 185s
H20863 8487 0.5230375 0.81578 56.0% 37.2 187s
20868 8490 0.63791 61 223 0.52304 0.81574 56.0% 37.2 190s
20874 8494 0.81522 31 226 0.52304 0.81522 55.9% 37.2 195s
20878 8497 0.52386 59 226 0.52304 0.81517 55.9% 37.1 200s
20884 8501 0.68491 36 229 0.52304 0.81462 55.7% 37.1 205s
20890 8505 0.64508 54 220 0.52304 0.81438 55.7% 37.1 211s
20895 8508 0.63023 47 236 0.52304 0.81411 55.6% 37.1 215s
20902 8513 0.58779 53 232 0.52304 0.81396 55.6% 37.1 221s
20906 8516 0.77015 30 228 0.52304 0.81381 55.6% 37.1 225s
20912 8520 0.81360 27 232 0.52304 0.81360 55.6% 37.1 230s
20916 8522 0.69456 58 218 0.52304 0.81339 55.5% 37.1 236s
20920 8525 0.55864 37 219 0.52304 0.81217 55.3% 37.1 240s
20925 8528 0.52957 55 228 0.52304 0.81196 55.2% 37.1 245s
20930 8532 0.61835 37 216 0.52304 0.81189 55.2% 37.1 250s
20935 8535 0.71425 35 220 0.52304 0.81179 55.2% 37.0 255s
20941 8539 0.59408 41 226 0.52304 0.81099 55.1% 37.0 260s
20945 8545 0.80838 21 210 0.52304 0.81040 54.9% 38.8 266s
20951 8543 0.80166 23 216 0.52304 0.80393 53.7% 38.9 274s
20954 8544 0.79389 24 211 0.52304 0.80247 53.4% 38.9 275s
21005 8562 0.78538 31 197 0.52304 0.80111 53.2% 39.3 280s
H21044 8152 0.5238458 0.80111 52.9% 39.4 283s
21070 8165 0.73484 43 156 0.52385 0.80111 52.9% 39.5 285s
H21106 7777 0.5238458 0.80111 52.9% 39.6 286s
21181 7796 0.67461 55 133 0.52385 0.80111 52.9% 39.6 290s
21384 7860 0.78866 27 208 0.52385 0.79521 51.8% 40.2 295s
21820 7986 0.67182 43 138 0.52385 0.79368 51.5% 41.1 300s
22330 8147 cutoff 39 0.52385 0.79063 50.9% 42.0 305s
22863 8322 0.74435 38 194 0.52385 0.78963 50.7% 42.9 310s
23333 8435 infeasible 51 0.52385 0.78866 50.6% 43.9 315s
23907 8636 0.76441 38 195 0.52385 0.78825 50.5% 44.8 320s
24217 8685 0.71140 50 191 0.52385 0.78779 50.4% 45.6 325s
24717 8815 0.77881 48 172 0.52385 0.78733 50.3% 47.0 331s
25067 8892 infeasible 77 0.52385 0.78711 50.3% 47.7 335s
25612 9065 0.70031 50 156 0.52385 0.78676 50.2% 48.6 341s
26060 9173 0.63765 86 83 0.52385 0.78643 50.1% 49.3 345s
26311 9261 0.67188 54 147 0.52385 0.78625 50.1% 49.6 355s
H26313 8873 0.5238458 0.78625 50.1% 49.6 355s
26939 9044 0.70788 48 160 0.52385 0.78594 50.0% 50.0 363s
27244 9159 0.77406 40 181 0.52385 0.78581 50.0% 50.4 365s
27579 9202 0.59494 52 113 0.52385 0.78568 50.0% 51.3 371s
28057 9347 0.74209 61 126 0.52385 0.78543 49.9% 52.1 376s
28723 9524 0.78218 39 165 0.52385 0.78505 49.9% 53.0 382s
29044 9631 0.57490 43 121 0.52385 0.78468 49.8% 53.3 385s
29730 9776 0.58151 56 122 0.52385 0.78423 49.7% 54.2 392s
30008 9814 0.76969 44 179 0.52385 0.78411 49.7% 54.8 396s
30312 9890 0.64067 65 128 0.52385 0.78403 49.7% 55.2 400s
30986 9980 0.73097 50 162 0.52385 0.78365 49.6% 56.3 408s
31325 10059 0.66214 49 144 0.52385 0.78345 49.6% 56.8 412s
31785 10152 0.76727 47 165 0.52385 0.78333 49.5% 57.1 417s
32145 10236 infeasible 49 0.52385 0.78332 49.5% 57.6 421s
32574 10333 infeasible 39 0.52385 0.78310 49.5% 58.2 426s
32989 10421 infeasible 57 0.52385 0.78307 49.5% 58.6 430s
33662 10578 0.64466 64 140 0.52385 0.78282 49.4% 59.2 437s
34045 10655 0.64028 53 141 0.52385 0.78265 49.4% 59.7 441s
34382 10715 0.75351 55 155 0.52385 0.78255 49.4% 60.2 446s
34687 10770 0.63758 43 88 0.52385 0.78244 49.4% 60.8 452s
H34788 10364 0.5286873 0.78244 48.0% 60.8 452s
34791 10348 0.75734 44 184 0.52869 0.78244 48.0% 60.8 456s
35105 10399 0.59732 48 92 0.52869 0.78231 48.0% 61.4 461s
35383 10427 0.75685 44 201 0.52869 0.78218 47.9% 62.0 465s
36127 10585 0.76222 40 178 0.52869 0.78193 47.9% 62.7 474s
36510 10661 0.69336 43 174 0.52869 0.78184 47.9% 63.2 479s
36840 10686 0.77631 38 196 0.52869 0.78167 47.9% 63.7 483s
37183 10720 0.75834 46 158 0.52869 0.78146 47.8% 64.2 488s
37608 10807 0.77870 46 175 0.52869 0.78135 47.8% 64.4 492s
37977 10874 0.70368 41 172 0.52869 0.78124 47.8% 64.9 496s
38194 10902 0.72160 43 173 0.52869 0.78112 47.7% 65.3 503s
38574 10955 0.57513 63 92 0.52869 0.78096 47.7% 65.7 508s
38935 11023 cutoff 47 0.52869 0.78072 47.7% 66.1 513s
39345 11104 cutoff 54 0.52869 0.78063 47.7% 66.5 519s
39705 11125 0.74634 44 177 0.52869 0.78052 47.6% 66.8 524s
40072 11203 0.75001 44 191 0.52869 0.78041 47.6% 67.2 528s
40397 11253 infeasible 43 0.52869 0.78032 47.6% 67.6 533s
*40776 10929 114 0.5292147 0.78022 47.4% 67.9 533s
40837 11020 0.77839 47 167 0.52921 0.78015 47.4% 67.9 538s
41175 11204 0.77190 43 157 0.52921 0.78007 47.4% 68.3 542s
41569 11392 0.76589 42 182 0.52921 0.77994 47.4% 68.6 547s
42188 11777 cutoff 47 0.52921 0.77977 47.3% 68.8 551s
42555 11937 0.70033 44 120 0.52921 0.77966 47.3% 69.1 556s
43034 12226 0.76950 33 177 0.52921 0.77947 47.3% 69.3 561s
43346 12348 0.77509 43 169 0.52921 0.77936 47.3% 69.7 565s
43764 12558 0.74444 40 170 0.52921 0.77922 47.2% 70.0 570s
44475 12946 0.62340 38 186 0.52921 0.77905 47.2% 70.7 578s
44981 13232 0.76915 48 150 0.52921 0.77884 47.2% 71.0 583s
45319 13404 cutoff 83 0.52921 0.77880 47.2% 71.4 588s
45686 13578 infeasible 55 0.52921 0.77868 47.1% 71.8 593s
46099 13759 0.61743 53 110 0.52921 0.77852 47.1% 72.1 597s
46507 13977 0.76899 37 196 0.52921 0.77837 47.1% 72.3 600s
Cutting planes:
Gomory: 219
Cover: 7
Implied bound: 66
Projected implied bound: 58
Clique: 1
MIR: 229
StrongCG: 8
Flow cover: 773
Inf proof: 135
Zero half: 1
Explored 46703 nodes (3381188 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.529215 0.528687 0.523846 ... 0.508914
Time limit reached
Best objective 5.292147242935e-01, best bound 7.783541806867e-01, gap 47.0772%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj7tgqcy2.pyomo.lp
Reading time = 0.00 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_pamp97n.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 670 rows and 478 columns
Presolve time: 0.00s
Presolved: 276 rows, 333 columns, 1365 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.3214377e+01 5.031250e+02 0.000000e+00 0s
153 1.4804506e+01 0.000000e+00 0.000000e+00 0s
Solved in 153 iterations and 0.01 seconds
Optimal objective 1.480450646e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.05470433e-08, -1.06566224e-08, -4.79472356e-07]])
fopt: 2.0659541412703235
fun: -2.074493587116949
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 16.11680529, -1. , -87.99580146])
xopt: array([16., 0., 0.])
zopt: array([16., 16., 16.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.51893488e-07, 1.61272651e-06, 3.58440216e-08]])
fopt: 2.326430898621159
fun: -2.3476775895861173
message: 'Optimization terminated successfully.'
nfev: 181
nit: 2
status: 0
success: True
x: array([ 37.37390221, -88.99991399, -0.99999998])
xopt: array([37., 0., 0.])
zopt: array([37., 37., 37.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.08485184e-03, 1.72260560e-04, 1.71728094e-04]])
fopt: 2.1269889694320834
fun: -2.1403728782945515
message: 'Optimization terminated successfully.'
nfev: 160
nit: 2
status: 0
success: True
x: array([60.0315063 , -0.99983199, -0.99833207])
xopt: array([60., 0., 0.])
zopt: array([60., 60., 60.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.18536499, 0.00435022, 0.19700246]])
fopt: 1.7078671018766627
fun: -1.7166638835170587
message: 'Optimization terminated successfully.'
nfev: 260
nit: 4
status: 0
success: True
x: array([ 85.82834033, -0.99122943, -83.99492518])
xopt: array([86., 0., 0.])
zopt: array([86., 86., 86.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.34569127e-06, -2.27602778e-15, 5.77922131e-14]])
fopt: 1.6542624538463455
fun: -1.6593239311749164
message: 'Optimization terminated successfully.'
nfev: 341
nit: 3
status: 0
success: True
x: array([106.18549406, 1.00000017, 1.2126294 ])
xopt: array([106., 1., 1.])
zopt: array([106., 107., 108.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.65672246e-02, -1.42136913e-07, -0.00000000e+00]])
fopt: 1.499816465442695
fun: -1.5031794157820564
message: 'Optimization terminated successfully.'
nfev: 250
nit: 2
status: 0
success: True
x: array([123.30209061, 1.00022704, 1. ])
xopt: array([123., 1., 1.])
zopt: array([123., 124., 125.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1476
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[48.09488755, 0.42529557, 0. ]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1563
nit: 3
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0222125188669307
fun: -1.0251395294846835
message: 'Optimization terminated successfully.'
nfev: 217
nit: 2
status: 0
success: True
x: array([188.08284757, 2.0877675 , 1. ])
xopt: array([188., 2., 1.])
zopt: array([188., 190., 191.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.9552411420601115
fun: -0.9587286489898847
message: 'Optimization terminated successfully.'
nfev: 195
nit: 3
status: 0
success: True
x: array([ 2.10013021e+02, 2.02473785e+00, -1.17630059e-04])
xopt: array([210., 2., 0.])
zopt: array([210., 212., 212.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8787762707830917
fun: -0.8715709225569189
message: 'Optimization terminated successfully.'
nfev: 421
nit: 4
status: 0
success: True
x: array([230.99918659, 2. , 1.00254501])
xopt: array([230., 2., 2.])
zopt: array([230., 232., 234.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[175.76806375, 5.61201682, 5.58484897]])
fopt: 0.8444745857494624
fun: -0.8404801788200246
message: 'Optimization terminated successfully.'
nfev: 366
nit: 4
status: 0
success: True
x: array([239.99963973, 7.00894791, 9.70632419])
xopt: array([239., 7., 10.])
zopt: array([239., 246., 256.])
*******************************************
Period: 13
direc: array([[161.55267678, 5.29420384, 5.13316971],
[ 0. , 1. , 0. ],
[ -0.99815014, 0.25529343, 1.93930137]])
fopt: 1.0616022224857153
fun: -1.0621506582106577
message: 'Optimization terminated successfully.'
nfev: 572
nit: 7
status: 0
success: True
x: array([203.99947695, 15.00650028, 61.00421386])
xopt: array([203., 16., 61.])
zopt: array([203., 219., 280.])
*******************************************
Period: 14
direc: array([[-1.67565020e-06, 9.99894052e-01, -2.02871083e-04],
[-1.67565019e-06, -1.05947630e-04, -2.02871083e-04],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7382447713341446
fun: -0.7337852690153557
message: 'Optimization terminated successfully.'
nfev: 623
nit: 6
status: 0
success: True
x: array([219.99694743, 12.00101896, 19.00604652])
xopt: array([219., 13., 20.])
zopt: array([219., 232., 252.])
*******************************************
Period: 15
direc: array([[159.94503478, 5.08208854, 5.33368788],
[ 0. , 1. , 0. ],
[ -3.29708236, -0.43781702, 15.20828306]])
fopt: 0.9835460408786378
fun: -0.9849810352511592
message: 'Optimization terminated successfully.'
nfev: 619
nit: 7
status: 0
success: True
x: array([209.00015234, 10.02872382, 104.18238587])
xopt: array([209., 10., 104.])
zopt: array([209., 219., 323.])
*******************************************
Period: 16
direc: array([[ 2.3123297 , 32.57488474, 65.02886367],
[ 0. , 1. , 0. ],
[-0.63667397, 0.71561823, 1.42377635]])
fopt: 0.9887167131351761
fun: -0.9867564652344554
message: 'Optimization terminated successfully.'
nfev: 456
nit: 6
status: 0
success: True
x: array([176.26646734, 58.02732992, 107.55086609])
xopt: array([176., 58., 107.])
zopt: array([176., 234., 341.])
*******************************************
Period: 17
direc: array([[159.83142511, 5.98659576, 5.08023107],
[ 0. , 1. , 0. ],
[-16.76787832, 5.1376244 , 11.50706331]])
fopt: 1.1051058997385959
fun: -1.1038522699702873
message: 'Optimization terminated successfully.'
nfev: 523
nit: 7
status: 0
success: True
x: array([147.99992654, 71.00002675, 145.19189297])
xopt: array([147., 72., 145.])
zopt: array([147., 219., 364.])
*******************************************
Period: 18
direc: array([[ 1.38904698e-02, -7.33137268e-04, -1.35931127e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.26918172e-02, 4.50998823e+00, 9.02045934e+00]])
fopt: 0.9630783805142817
fun: -0.9586986637880651
message: 'Optimization terminated successfully.'
nfev: 532
nit: 6
status: 0
success: True
x: array([211.46929843, 9.38931808, 162.12471405])
xopt: array([211., 9., 163.])
zopt: array([211., 220., 383.])
*******************************************
Period: 19
direc: array([[ 4.64081423e-02, 3.39498083e-04, -3.08934558e-02],
[-1.67460569e+01, 5.90900095e+00, 1.11426746e+01],
[ 9.79933864e-02, -2.21065887e-03, -7.17513533e-02]])
fopt: 1.1155309900188388
fun: -1.1143481521568055
message: 'Optimization terminated successfully.'
nfev: 896
nit: 11
status: 0
success: True
x: array([123.96003936, 95.0015784 , 185.36153461])
xopt: array([123., 96., 185.])
zopt: array([123., 219., 404.])
*******************************************
Period: 20
direc: array([[ 2.07059549e+00, 1.82631572e+01, 3.83249710e+01],
[-4.05699393e+01, 1.61604527e+01, 3.26702711e+01],
[ 1.32182942e-03, 1.02463711e+00, 2.22529067e-02]])
fopt: 1.0968617413655835
fun: -1.0956272752434555
message: 'Optimization terminated successfully.'
nfev: 796
nit: 10
status: 0
success: True
x: array([111.99686192, 107.0002497 , 208.4060877 ])
xopt: array([111., 108., 208.])
zopt: array([111., 219., 427.])
*******************************************
Period: 21
direc: array([[ 4.47697339, 54.25740569, 98.21740761],
[ 0. , 1. , 0. ],
[-38.35872586, 15.49603582, 25.92595013]])
fopt: 1.0889684926728556
fun: -1.0902950763021382
message: 'Optimization terminated successfully.'
nfev: 479
nit: 7
status: 0
success: True
x: array([ 89.99567971, 130. , 228.06442466])
xopt: array([ 90., 130., 229.])
zopt: array([ 90., 220., 449.])
*******************************************
Period: 22
direc: array([[ 0., 1., 1.],
[-0., 0., 0.],
[ 0., 0., 0.]])
fopt: 0.8657681745502211
fun: -0.865879301023449
message: 'Optimization terminated successfully.'
nfev: 432
nit: 6
status: 0
success: True
x: array([212.87683831, 6.04643806, 223.00701169])
xopt: array([212., 7., 224.])
zopt: array([212., 219., 443.])
*******************************************
Period: 23
direc: array([[ 1.23429236e+02, 1.58154383e-03, 1.01000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -1.55854629e-10, -8.82263362e-03]])
fopt: 0.7190434414316319
fun: -0.8038043105774293
message: 'Optimization terminated successfully.'
nfev: 492
nit: 5
status: 0
success: True
x: array([247.00653607, -28.00653607, 206.0000007 ])
xopt: array([247., 0., 206.])
zopt: array([247., 247., 453.])
*******************************************
Period: 24
direc: array([[ 0.08017185, 20.36086656, 38.08491874],
[ 0. , 1. , 0. ],
[-50.90045797, 19.80873643, 31.16766419]])
fopt: 1.0552889238926153
fun: -1.0549818525437331
message: 'Optimization terminated successfully.'
nfev: 546
nit: 8
status: 0
success: True
x: array([ 89.51657212, 128.00005688, 229. ])
xopt: array([ 90., 128., 230.])
zopt: array([ 90., 218., 448.])
*******************************************
Period: 25
direc: array([[ 1.24019427e+02, 9.74897554e-06, 1.01079364e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.89322683e+01, 3.70390787e-04, 1.87999137e+02]])
fopt: 0.8858985217355968
fun: -0.8862811722201005
message: 'Optimization terminated successfully.'
nfev: 847
nit: 11
status: 0
success: True
x: array([210.79542212, 8.00046544, 231.00175219])
xopt: array([210., 9., 231.])
zopt: array([210., 219., 450.])
*******************************************
Period: 26
direc: array([[ 1.25341134e+02, 9.87728892e-06, 1.02409743e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -1.21116990e-13, -2.10674836e-03]])
fopt: 0.7481207095599188
fun: -0.8238195746740454
message: 'Optimization terminated successfully.'
nfev: 662
nit: 7
status: 0
success: True
x: array([248.86214398, -29.86214398, 201.00000013])
xopt: array([248., 0., 202.])
zopt: array([248., 248., 450.])
*******************************************
Period: 27
direc: array([[ 1.39093731, 51.37748068, 113.51296329],
[ 0. , 1. , 0. ],
[-42.83838247, 14.66732176, 27.47649586]])
fopt: 1.0367652027525551
fun: -1.0351608944054305
message: 'Optimization terminated successfully.'
nfev: 678
nit: 9
status: 0
success: True
x: array([104.77865625, 114.03901548, 233.51053493])
xopt: array([104., 115., 233.])
zopt: array([104., 219., 452.])
*******************************************
Period: 28
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 2.95639242e-04, 3.03951252e-03, 6.20660263e-03],
[ 8.79952648e-01, 1.20572045e+01, -5.83921824e-07]])
fopt: 0.5145111847065387
fun: -0.5124133146157588
message: 'Optimization terminated successfully.'
nfev: 675
nit: 8
status: 0
success: True
x: array([230.99030786, 19.00806064, 5.00399457])
xopt: array([230., 20., 6.])
zopt: array([230., 250., 256.])
*******************************************
Period: 29
direc: array([[ 4.15250550e+00, 2.18112169e-02, 3.81617169e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.40463137e-11, -3.30033755e-08, -6.16945550e-03]])
fopt: 0.8243102585445983
fun: -0.8329540272164939
message: 'Optimization terminated successfully.'
nfev: 429
nit: 5
status: 0
success: True
x: array([223.83842989, -4.83842989, 227.00000014])
xopt: array([223., 0., 227.])
zopt: array([223., 223., 450.])
*******************************************
Period: 30
direc: array([[7.11121509e-02, 3.22040164e-04, 6.70369921e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.42224304e-01, 2.00064411e+00, 3.97328895e+00]])
fopt: 0.6386864655308315
fun: -0.6370977093868263
message: 'Optimization terminated successfully.'
nfev: 513
nit: 6
status: 0
success: True
x: array([226.71190203, 60.00080246, 116.28816969])
xopt: array([226., 60., 117.])
zopt: array([226., 286., 403.])
*******************************************
Period: 31
direc: array([[4.32348502e+00, 1.93319507e-02, 3.88611879e-02],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.83392511e-03, 8.19123696e-06, 4.36419777e-04]])
fopt: 0.5087474542005086
fun: -0.5072126943222892
message: 'Optimization terminated successfully.'
nfev: 338
nit: 3
status: 0
success: True
x: array([228.96984832, 2.01931893, 4.03950281])
xopt: array([228., 3., 5.])
zopt: array([228., 231., 236.])
*******************************************
Period: 32
direc: array([[ 1.79801118e-01, 8.56968802e-04, 1.72093187e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.46074226e-02, -1.25110414e-01, -8.17121738e-02]])
fopt: 0.5921438353513573
fun: -0.5916908890860473
message: 'Optimization terminated successfully.'
nfev: 570
nit: 6
status: 0
success: True
x: array([216.0561811 , 47.32100562, 33.00002783])
xopt: array([216., 47., 33.])
zopt: array([216., 263., 296.])
*******************************************
Period: 33
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 37.07255201, 67.47102276]])
fopt: 0.6143208500663214
fun: -0.6141291066710179
message: 'Optimization terminated successfully.'
nfev: 521
nit: 7
status: 0
success: True
x: array([233.02842112, 60.03875019, 109.14629806])
xopt: array([233., 60., 110.])
zopt: array([233., 293., 403.])
*******************************************
Period: 34
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 2.87533702e-02, 4.13286907e-07, 9.90000000e-01],
[ 5.33719988e-05, 1.00000000e+00, -6.03754936e-04]])
fopt: 0.5122177650850837
fun: -0.5110984607775634
message: 'Optimization terminated successfully.'
nfev: 535
nit: 7
status: 0
success: True
x: array([239.99998046, 7.00000083, 6.00035962])
xopt: array([239., 8., 7.])
zopt: array([239., 247., 254.])
*******************************************
Period: 35
direc: array([[-1.75752831e+00, 0.00000000e+00, 2.34623740e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.34779200e-04, -6.73751785e-03, 2.59448240e-07]])
fopt: 0.6632943452659048
fun: -0.6609919172712168
message: 'Optimization terminated successfully.'
nfev: 549
nit: 6
status: 0
success: True
x: array([145.99961547, 3.00746989, 164.41834169])
xopt: array([145., 4., 165.])
zopt: array([145., 149., 314.])
*******************************************
Period: 36
direc: array([[ 1. , 0. , 0. ],
[-155.30391197, 104.2608999 , 217.5546771 ],
[ -4.01338098, 11.99992409, 5.62209588]])
fopt: 0.8974204939539714
fun: -0.9003999163587267
message: 'Optimization terminated successfully.'
nfev: 681
nit: 8
status: 0
success: True
x: array([ 91. , 129.00150305, 231.07691654])
xopt: array([ 91., 129., 231.])
zopt: array([ 91., 220., 451.])
*******************************************
Period: 37
direc: array([[-1.32649640e-01, 2.00000000e+00, 0.00000000e+00],
[-8.86109536e+00, 2.00000003e+00, 4.16846799e+00],
[-8.94903057e-02, 1.99970542e+00, -1.48657261e-04]])
fopt: 0.5856333167835123
fun: -0.585094516717118
message: 'Optimization terminated successfully.'
nfev: 611
nit: 8
status: 0
success: True
x: array([90.9110502 , 48.00000013, 80.27703233])
xopt: array([91., 49., 81.])
zopt: array([ 91., 140., 221.])
*******************************************
Period: 38
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.61832778e+02, 1.02549987e+02, 2.07470371e+02],
[ 2.13926564e-04, 1.00000000e+00, 0.00000000e+00]])
fopt: 0.8720270068047091
fun: -0.8717743299608474
message: 'Optimization terminated successfully.'
nfev: 407
nit: 5
status: 0
success: True
x: array([ 91.99998897, 111.00208799, 212.49260104])
xopt: array([ 91., 112., 213.])
zopt: array([ 91., 203., 416.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[-103.00655325, 30.28474414, 60.26837381],
[ -3.29067626, 47.06849594, 3.38017013]])
fopt: 0.8108410672855267
fun: -0.8108351148455702
message: 'Optimization terminated successfully.'
nfev: 671
nit: 9
status: 0
success: True
x: array([ 89. , 165.26200736, 144.33702257])
xopt: array([ 88., 166., 145.])
zopt: array([ 88., 254., 399.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[-159.54352353, 44.0967453 , 88.47249958],
[ 0. , 2. , 0. ]])
fopt: 0.7263257809491365
fun: -0.7282639004415845
message: 'Optimization terminated successfully.'
nfev: 1228
nit: 14
status: 0
success: True
x: array([ 90.97205427, 181.01013909, 86.03723187])
xopt: array([ 91., 181., 87.])
zopt: array([ 91., 272., 359.])
*******************************************
Period: 41
direc: array([[-1.04247914e+02, 2.95655527e+01, 5.72481654e+01],
[ 9.32448749e+00, 2.02327997e+00, -7.12496489e-03],
[ 0.00000000e+00, 7.34900071e+01, 0.00000000e+00]])
fopt: 0.7606496362884142
fun: -0.7611124272408932
message: 'Optimization terminated successfully.'
nfev: 1129
nit: 13
status: 0
success: True
x: array([ 88.99999584, 180.00003697, 125.67077863])
xopt: array([ 88., 181., 126.])
zopt: array([ 88., 269., 395.])
*******************************************
Period: 42
direc: array([[-159.39915141, 40.26407805, 88.78687999],
[ 0. , 1. , 0. ],
[ 27.72079809, 12.8892097 , 26.94509696]])
fopt: 0.8168490840076648
fun: -0.8176668738707963
message: 'Optimization terminated successfully.'
nfev: 532
nit: 8
status: 0
success: True
x: array([ 99.81586624, 101.01470236, 208.0010842 ])
xopt: array([ 99., 101., 209.])
zopt: array([ 99., 200., 409.])
*******************************************
Period: 43
direc: array([[ -0.19025873, 2.00000003, 4.04605797],
[ 0. , 1. , 0. ],
[-70.79695999, 26.81909625, 47.19426745]])
fopt: 0.8233881682491335
fun: -0.8251554376722776
message: 'Optimization terminated successfully.'
nfev: 726
nit: 10
status: 0
success: True
x: array([ 89.90313102, 128. , 234.40952394])
xopt: array([ 89., 128., 234.])
zopt: array([ 89., 217., 451.])
*******************************************
Period: 44
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-8.88656192e+01, 1.82240685e+01, 3.45948407e+01],
[-1.90875119e-13, -3.03265803e-03, -0.00000000e+00]])
fopt: 0.4943994627820577
fun: -0.49196430120712314
message: 'Optimization terminated successfully.'
nfev: 640
nit: 8
status: 0
success: True
x: array([91. , 40.00001683, 69.1602467 ])
xopt: array([91., 41., 70.])
zopt: array([ 91., 132., 202.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpah69xk11.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg4wfa4of.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [6e-02, 6e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929679
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.06595 0.929679
Optimal solution found (tolerance 1.00e-02)
Best objective 2.065954141270e+00, best bound 2.065954141270e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnc77cu2y.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp820djk4a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.618539
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.326431e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3264309 2.32643 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.32643 0.618539
Optimal solution found (tolerance 1.00e-02)
Best objective 2.326430898621e+00, best bound 2.326430898621e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqvcdufd_.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5kttnx7g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.28246
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.126989e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.1269890 2.12699 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.12699 1.28246
Optimal solution found (tolerance 1.00e-02)
Best objective 2.126988969432e+00, best bound 2.126988969432e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgb9r3yvu.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfx4qxdrq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.4849
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 2.121687e+00, 39 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12169 0 9 1.48490 2.12169 42.9% - 0s
H 0 0 1.7078671 2.12169 24.2% - 0s
0 0 cutoff 0 1.70787 1.70787 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 5
Flow cover: 3
Explored 1 nodes (48 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.70787 1.4849
Optimal solution found (tolerance 1.00e-02)
Best objective 1.707867101877e+00, best bound 1.707867101877e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp46kikg6i.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmaanesbm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14009
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.264624e+00, 60 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.26462 0 4 1.14009 2.26462 98.6% - 0s
H 0 0 1.7439267 2.26462 29.9% - 0s
0 0 1.85728 0 1 1.74393 1.85728 6.50% - 0s
0 0 cutoff 0 1.74393 1.74393 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (81 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.74393 1.14009
Optimal solution found (tolerance 1.00e-02)
Best objective 1.743926650473e+00, best bound 1.743926650473e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphglhi_k1.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpehvydv6c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32065
Presolve removed 157 rows and 107 columns
Presolve time: 0.00s
Presolved: 126 rows, 101 columns, 428 nonzeros
Variable types: 50 continuous, 51 integer (47 binary)
Root relaxation: objective 2.104564e+00, 74 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10456 0 4 1.32065 2.10456 59.4% - 0s
H 0 0 1.6671901 2.10456 26.2% - 0s
0 0 1.82101 0 1 1.66719 1.82101 9.23% - 0s
0 0 1.82101 0 1 1.66719 1.82101 9.23% - 0s
0 0 cutoff 0 1.66719 1.66719 0.00% - 0s
Explored 1 nodes (135 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.66719 1.32065
Optimal solution found (tolerance 1.00e-02)
Best objective 1.667190054832e+00, best bound 1.667190054832e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppc7rs1z2.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyhf5oeig.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39516
Presolve removed 165 rows and 111 columns
Presolve time: 0.00s
Presolved: 164 rows, 130 columns, 561 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 1.975809e+00, 101 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97581 0 8 1.39516 1.97581 41.6% - 0s
H 0 0 1.4837528 1.97581 33.2% - 0s
0 0 1.73483 0 10 1.48375 1.73483 16.9% - 0s
0 0 1.62957 0 4 1.48375 1.62957 9.83% - 0s
0 0 1.62951 0 6 1.48375 1.62951 9.82% - 0s
0 0 1.62855 0 6 1.48375 1.62855 9.76% - 0s
0 0 1.62750 0 6 1.48375 1.62750 9.69% - 0s
0 0 1.62750 0 6 1.48375 1.62750 9.69% - 0s
0 0 1.62750 0 2 1.48375 1.62750 9.69% - 0s
0 0 cutoff 0 1.48375 1.48375 0.00% - 0s
Cutting planes:
Gomory: 2
Explored 1 nodes (223 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.48375 1.39516
Optimal solution found (tolerance 1.00e-02)
Best objective 1.483752806071e+00, best bound 1.483752806071e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe5hjf8b0.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdx5akrdd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17632
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.999807e+00, 136 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99981 0 9 1.17632 1.99981 70.0% - 0s
H 0 0 1.4689749 1.99981 36.1% - 0s
0 0 1.68323 0 14 1.46897 1.68323 14.6% - 0s
0 0 1.66384 0 5 1.46897 1.66384 13.3% - 0s
0 0 1.66372 0 6 1.46897 1.66372 13.3% - 0s
0 0 1.66333 0 6 1.46897 1.66333 13.2% - 0s
0 0 1.66233 0 5 1.46897 1.66233 13.2% - 0s
0 0 1.66233 0 5 1.46897 1.66233 13.2% - 0s
0 2 1.66233 0 5 1.46897 1.66233 13.2% - 0s
Cutting planes:
Gomory: 6
Implied bound: 2
MIR: 1
Flow cover: 9
Explored 13 nodes (280 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.46897 1.17632
Optimal solution found (tolerance 1.00e-02)
Best objective 1.468974868812e+00, best bound 1.469101593491e+00, gap 0.0086%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67czfml4.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp33lhx16t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22175
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.938393e+00, 144 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93839 0 12 1.22175 1.93839 58.7% - 0s
H 0 0 1.3974264 1.93839 38.7% - 0s
0 0 1.62706 0 19 1.39743 1.62706 16.4% - 0s
0 0 1.62562 0 20 1.39743 1.62562 16.3% - 0s
0 0 1.62388 0 21 1.39743 1.62388 16.2% - 0s
0 0 1.62381 0 20 1.39743 1.62381 16.2% - 0s
0 0 1.62281 0 21 1.39743 1.62281 16.1% - 0s
0 0 1.62249 0 19 1.39743 1.62249 16.1% - 0s
0 0 1.62249 0 17 1.39743 1.62249 16.1% - 0s
0 2 1.62249 0 17 1.39743 1.62249 16.1% - 0s
Cutting planes:
Gomory: 7
Implied bound: 6
MIR: 3
Flow cover: 9
Explored 149 nodes (887 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.39743 1.22175
Optimal solution found (tolerance 1.00e-02)
Best objective 1.397426415346e+00, best bound 1.397426415346e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprgu4dxxi.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpagiknxgs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19512
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.913709e+00, 174 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91371 0 15 1.19512 1.91371 60.1% - 0s
H 0 0 1.3795179 1.91371 38.7% - 0s
0 0 1.62127 0 15 1.37952 1.62127 17.5% - 0s
0 0 1.62007 0 16 1.37952 1.62007 17.4% - 0s
0 0 1.61870 0 16 1.37952 1.61870 17.3% - 0s
0 0 1.61870 0 15 1.37952 1.61870 17.3% - 0s
0 2 1.61870 0 15 1.37952 1.61870 17.3% - 0s
Cutting planes:
Gomory: 9
Implied bound: 4
Flow cover: 10
Explored 86 nodes (968 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.37952 1.19512
Optimal solution found (tolerance 1.00e-02)
Best objective 1.379517946029e+00, best bound 1.379517946029e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp3hcs6cm.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphm5pc1b5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18605
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.951699e+00, 197 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95170 0 17 1.18605 1.95170 64.6% - 0s
H 0 0 1.3515198 1.95170 44.4% - 0s
0 0 1.66240 0 20 1.35152 1.66240 23.0% - 0s
0 0 1.66094 0 21 1.35152 1.66094 22.9% - 0s
0 0 1.66087 0 21 1.35152 1.66087 22.9% - 0s
0 0 1.66072 0 21 1.35152 1.66072 22.9% - 0s
0 0 1.66072 0 21 1.35152 1.66072 22.9% - 0s
0 0 1.66072 0 21 1.35152 1.66072 22.9% - 0s
0 2 1.66072 0 21 1.35152 1.66072 22.9% - 0s
* 69 11 17 1.3927376 1.50564 8.11% 7.9 0s
Cutting planes:
Gomory: 9
Implied bound: 3
Flow cover: 19
Explored 95 nodes (1023 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.39274 1.35152 1.18605
Optimal solution found (tolerance 1.00e-02)
Best objective 1.392737551080e+00, best bound 1.392737551080e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1yxtis3t.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd3faj_wv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21249
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.965438e+00, 214 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96544 0 20 1.21249 1.96544 62.1% - 0s
0 0 1.67675 0 22 1.21249 1.67675 38.3% - 0s
0 0 1.65035 0 17 1.21249 1.65035 36.1% - 0s
0 0 1.64444 0 23 1.21249 1.64444 35.6% - 0s
0 0 1.64440 0 23 1.21249 1.64440 35.6% - 0s
0 0 1.64339 0 25 1.21249 1.64339 35.5% - 0s
0 0 1.64168 0 27 1.21249 1.64168 35.4% - 0s
0 0 1.64168 0 25 1.21249 1.64168 35.4% - 0s
H 0 0 1.3909704 1.64168 18.0% - 0s
0 2 1.64168 0 25 1.39097 1.64168 18.0% - 0s
H 100 24 1.3965381 1.47505 5.62% 5.8 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 8
MIR: 4
Flow cover: 10
Inf proof: 2
Explored 181 nodes (1367 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.39654 1.39097 1.21249
Optimal solution found (tolerance 1.00e-02)
Best objective 1.396538112138e+00, best bound 1.396538112138e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmghrsphh.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl5ydp984.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23789
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.945831e+00, 241 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94583 0 22 1.23789 1.94583 57.2% - 0s
0 0 1.63929 0 31 1.23789 1.63929 32.4% - 0s
0 0 1.63926 0 31 1.23789 1.63926 32.4% - 0s
0 0 1.63811 0 29 1.23789 1.63811 32.3% - 0s
0 0 1.63784 0 29 1.23789 1.63784 32.3% - 0s
0 0 1.63784 0 27 1.23789 1.63784 32.3% - 0s
H 0 0 1.3537080 1.63784 21.0% - 0s
0 2 1.63784 0 27 1.35371 1.63784 21.0% - 0s
* 99 32 22 1.3812314 1.46829 6.30% 6.9 0s
Cutting planes:
Gomory: 12
Implied bound: 4
MIR: 1
Flow cover: 16
Explored 157 nodes (1663 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.38123 1.35371 1.23789
Optimal solution found (tolerance 1.00e-02)
Best objective 1.381231371328e+00, best bound 1.381231371328e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5omb7163.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi711uief.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23017
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.905291e+00, 275 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.90529 0 23 1.23017 1.90529 54.9% - 0s
0 0 1.59544 0 33 1.23017 1.59544 29.7% - 0s
0 0 1.57670 0 33 1.23017 1.57670 28.2% - 0s
0 0 1.57602 0 33 1.23017 1.57602 28.1% - 0s
0 0 1.57602 0 32 1.23017 1.57602 28.1% - 0s
0 2 1.57602 0 32 1.23017 1.57602 28.1% - 0s
* 90 51 30 1.2423296 1.41355 13.8% 5.1 0s
* 169 78 37 1.2882539 1.40966 9.42% 4.8 0s
* 223 77 31 1.3246790 1.40496 6.06% 4.9 0s
* 600 114 33 1.3255909 1.40141 5.72% 5.8 0s
* 698 98 29 1.3388050 1.38904 3.75% 6.1 0s
Cutting planes:
Gomory: 14
Cover: 5
Implied bound: 13
MIR: 1
Flow cover: 12
Inf proof: 18
Explored 858 nodes (6244 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.3388 1.32559 1.32468 ... 1.23017
Optimal solution found (tolerance 1.00e-02)
Best objective 1.338804992699e+00, best bound 1.347336089476e+00, gap 0.6372%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy0h8ucji.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk5_wmv3a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23104
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.816968e+00, 298 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81697 0 27 1.23104 1.81697 47.6% - 0s
0 0 1.51331 0 29 1.23104 1.51331 22.9% - 0s
0 0 1.48967 0 38 1.23104 1.48967 21.0% - 0s
0 0 1.48942 0 38 1.23104 1.48942 21.0% - 0s
0 0 1.48942 0 38 1.23104 1.48942 21.0% - 0s
0 2 1.48942 0 38 1.23104 1.48942 21.0% - 0s
* 67 22 28 1.2731551 1.42886 12.2% 6.8 0s
Cutting planes:
Gomory: 17
Cover: 1
Implied bound: 10
Flow cover: 15
Inf proof: 7
Explored 952 nodes (6349 simplex iterations) in 0.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.27316 1.23104
Optimal solution found (tolerance 1.00e-02)
Best objective 1.273155143235e+00, best bound 1.273155143235e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzrf_v915.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1fq7rfdi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1375
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.803424e+00, 321 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80342 0 29 1.13750 1.80342 58.5% - 0s
0 0 1.48874 0 24 1.13750 1.48874 30.9% - 0s
0 0 1.46725 0 42 1.13750 1.46725 29.0% - 0s
0 0 1.46641 0 38 1.13750 1.46641 28.9% - 0s
0 0 1.46603 0 41 1.13750 1.46603 28.9% - 0s
0 0 1.46603 0 41 1.13750 1.46603 28.9% - 0s
0 2 1.46603 0 41 1.13750 1.46603 28.9% - 0s
* 96 43 35 1.2484348 1.35273 8.35% 7.5 0s
Cutting planes:
Gomory: 16
Cover: 3
Implied bound: 13
MIR: 1
Flow cover: 20
Inf proof: 13
Explored 747 nodes (6923 simplex iterations) in 0.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.24843 1.1375
Optimal solution found (tolerance 1.00e-02)
Best objective 1.248434758761e+00, best bound 1.256626929738e+00, gap 0.6562%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwrq4a2ro.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc0si08zk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14012
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.783885e+00, 345 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78389 0 30 1.14012 1.78389 56.5% - 0s
0 0 1.44498 0 26 1.14012 1.44498 26.7% - 0s
0 0 1.44491 0 26 1.14012 1.44491 26.7% - 0s
0 0 1.44405 0 30 1.14012 1.44405 26.7% - 0s
0 0 1.44405 0 30 1.14012 1.44405 26.7% - 0s
0 2 1.44405 0 30 1.14012 1.44405 26.7% - 0s
* 108 77 32 1.1694892 1.34670 15.2% 5.5 0s
* 150 71 38 1.2355176 1.34670 9.00% 6.1 0s
Cutting planes:
Gomory: 17
Cover: 7
Implied bound: 13
MIR: 1
Flow cover: 21
Inf proof: 26
Explored 1184 nodes (10400 simplex iterations) in 0.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.23552 1.16949 1.14012
Optimal solution found (tolerance 1.00e-02)
Best objective 1.235517556641e+00, best bound 1.235517556641e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmn178t3v.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsyudxfq1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11998
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.766731e+00, 360 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76673 0 33 1.11998 1.76673 57.7% - 0s
0 0 1.45032 0 31 1.11998 1.45032 29.5% - 0s
0 0 1.45032 0 31 1.11998 1.45032 29.5% - 0s
0 0 1.43588 0 39 1.11998 1.43588 28.2% - 0s
0 0 1.43573 0 37 1.11998 1.43573 28.2% - 0s
0 0 1.43570 0 40 1.11998 1.43570 28.2% - 0s
0 0 1.43570 0 40 1.11998 1.43570 28.2% - 0s
0 2 1.43570 0 40 1.11998 1.43570 28.2% - 0s
* 247 144 53 1.1508219 1.33191 15.7% 6.0 0s
* 1448 448 53 1.1742179 1.24072 5.66% 6.3 0s
* 1752 342 43 1.1858168 1.22981 3.71% 7.1 0s
* 1862 113 38 1.2106416 1.22495 1.18% 7.1 1s
Cutting planes:
Gomory: 17
Cover: 5
Implied bound: 21
MIR: 3
Flow cover: 25
Inf proof: 24
Explored 1962 nodes (14436 simplex iterations) in 1.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.21064 1.18582 1.17422 ... 1.11998
Optimal solution found (tolerance 1.00e-02)
Best objective 1.210641590518e+00, best bound 1.220569725345e+00, gap 0.8201%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7oiskypw.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyvvd5r1h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10585
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.747799e+00, 404 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74780 0 39 1.10585 1.74780 58.1% - 0s
0 0 1.43230 0 36 1.10585 1.43230 29.5% - 0s
0 0 1.43229 0 36 1.10585 1.43229 29.5% - 0s
0 0 1.40230 0 49 1.10585 1.40230 26.8% - 0s
0 0 1.40129 0 46 1.10585 1.40129 26.7% - 0s
0 0 1.40050 0 50 1.10585 1.40050 26.6% - 0s
0 0 1.40050 0 47 1.10585 1.40050 26.6% - 0s
0 2 1.40050 0 47 1.10585 1.40050 26.6% - 0s
H 153 102 1.1872054 1.28820 8.51% 7.8 0s
Cutting planes:
Gomory: 17
Cover: 11
Implied bound: 23
MIR: 2
Flow cover: 32
Inf proof: 34
Explored 3935 nodes (34291 simplex iterations) in 2.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.18721 1.10585
Optimal solution found (tolerance 1.00e-02)
Best objective 1.187205429886e+00, best bound 1.195926637827e+00, gap 0.7346%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppxkq_zb6.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpai49mw9e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10355
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.692025e+00, 423 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69203 0 42 1.10355 1.69203 53.3% - 0s
0 0 1.37974 0 41 1.10355 1.37974 25.0% - 0s
0 0 1.33243 0 49 1.10355 1.33243 20.7% - 0s
0 0 1.33217 0 46 1.10355 1.33217 20.7% - 0s
0 0 1.33199 0 50 1.10355 1.33199 20.7% - 0s
0 0 1.33199 0 47 1.10355 1.33199 20.7% - 0s
0 2 1.33199 0 47 1.10355 1.33199 20.7% - 0s
H 932 259 1.1401849 1.20714 5.87% 7.1 0s
Cutting planes:
Gomory: 38
Cover: 4
Implied bound: 6
Projected implied bound: 7
Clique: 1
MIR: 3
Flow cover: 13
Inf proof: 2
Explored 2402 nodes (19840 simplex iterations) in 2.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.14018 1.10355
Optimal solution found (tolerance 1.00e-02)
Best objective 1.140184865771e+00, best bound 1.150251062746e+00, gap 0.8829%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpytl01e0c.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprgy78m81.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05472
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.647908e+00, 429 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64791 0 42 1.05472 1.64791 56.2% - 0s
0 0 1.33339 0 40 1.05472 1.33339 26.4% - 0s
0 0 1.33339 0 40 1.05472 1.33339 26.4% - 0s
0 0 1.28706 0 51 1.05472 1.28706 22.0% - 0s
0 0 1.28099 0 48 1.05472 1.28099 21.5% - 0s
0 0 1.28069 0 52 1.05472 1.28069 21.4% - 0s
0 0 1.28068 0 55 1.05472 1.28068 21.4% - 0s
0 0 1.28057 0 55 1.05472 1.28057 21.4% - 0s
0 0 1.28057 0 51 1.05472 1.28057 21.4% - 0s
0 2 1.28057 0 51 1.05472 1.28057 21.4% - 0s
* 551 282 62 1.0617543 1.16791 10.0% 6.9 0s
* 2675 326 70 1.0976003 1.11432 1.52% 9.5 3s
Cutting planes:
Gomory: 50
Cover: 3
Implied bound: 5
Projected implied bound: 9
MIR: 9
Flow cover: 21
Inf proof: 10
Explored 3004 nodes (29101 simplex iterations) in 3.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.0976 1.06175 1.05472
Optimal solution found (tolerance 1.00e-02)
Best objective 1.097600298232e+00, best bound 1.105335936657e+00, gap 0.7048%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4463o98n.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptctde0g8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07449
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.590852e+00, 475 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59085 0 45 1.07449 1.59085 48.1% - 0s
0 0 1.31051 0 41 1.07449 1.31051 22.0% - 0s
0 0 1.26391 0 55 1.07449 1.26391 17.6% - 0s
0 0 1.26300 0 46 1.07449 1.26300 17.5% - 0s
0 0 1.26291 0 50 1.07449 1.26291 17.5% - 0s
0 0 1.26291 0 49 1.07449 1.26291 17.5% - 0s
0 2 1.26291 0 49 1.07449 1.26291 17.5% - 0s
Cutting planes:
Learned: 1
Gomory: 45
Cover: 2
Implied bound: 7
Projected implied bound: 11
MIR: 7
Flow cover: 22
Mod-K: 1
Explored 1970 nodes (17503 simplex iterations) in 2.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.07449
Optimal solution found (tolerance 1.00e-02)
Best objective 1.074488756986e+00, best bound 1.084539631206e+00, gap 0.9354%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw6avro_z.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjwrqd08l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06608
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.542581e+00, 500 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54258 0 46 1.06608 1.54258 44.7% - 0s
0 0 1.29877 0 52 1.06608 1.29877 21.8% - 0s
0 0 1.23289 0 69 1.06608 1.23289 15.6% - 0s
0 0 1.22839 0 53 1.06608 1.22839 15.2% - 0s
0 0 1.22058 0 61 1.06608 1.22058 14.5% - 0s
0 0 1.22043 0 61 1.06608 1.22043 14.5% - 0s
0 0 1.21976 0 64 1.06608 1.21976 14.4% - 0s
0 0 1.21951 0 65 1.06608 1.21951 14.4% - 0s
0 0 1.21937 0 67 1.06608 1.21937 14.4% - 0s
0 0 1.21937 0 63 1.06608 1.21937 14.4% - 0s
0 1 1.21937 0 63 1.06608 1.21937 14.4% - 0s
* 614 239 84 1.0668104 1.10382 3.47% 6.1 0s
Cutting planes:
Gomory: 25
Cover: 9
Implied bound: 20
MIR: 5
Flow cover: 29
Inf proof: 7
Explored 1831 nodes (14271 simplex iterations) in 1.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.06681 1.06608
Optimal solution found (tolerance 1.00e-02)
Best objective 1.066810371804e+00, best bound 1.077177008481e+00, gap 0.9717%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps4h4ghvm.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptcckkwgf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05657
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.524928e+00, 542 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52493 0 47 1.05657 1.52493 44.3% - 0s
0 0 1.28582 0 52 1.05657 1.28582 21.7% - 0s
0 0 1.23934 0 51 1.05657 1.23934 17.3% - 0s
0 0 1.23368 0 72 1.05657 1.23368 16.8% - 0s
0 0 1.23344 0 57 1.05657 1.23344 16.7% - 0s
0 0 1.23068 0 66 1.05657 1.23068 16.5% - 0s
0 0 1.23056 0 67 1.05657 1.23056 16.5% - 0s
0 0 1.22667 0 67 1.05657 1.22667 16.1% - 0s
0 0 1.22590 0 68 1.05657 1.22590 16.0% - 0s
0 0 1.22578 0 70 1.05657 1.22578 16.0% - 0s
0 0 1.22571 0 78 1.05657 1.22571 16.0% - 0s
0 0 1.22571 0 68 1.05657 1.22571 16.0% - 0s
0 1 1.22571 0 68 1.05657 1.22571 16.0% - 0s
* 2032 381 74 1.0581385 1.07766 1.85% 9.8 3s
Cutting planes:
Gomory: 53
Cover: 1
Implied bound: 7
Projected implied bound: 11
Clique: 1
MIR: 8
Flow cover: 27
Inf proof: 5
Explored 2192 nodes (22615 simplex iterations) in 3.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.05814 1.05657
Optimal solution found (tolerance 1.00e-02)
Best objective 1.058138479488e+00, best bound 1.063968671292e+00, gap 0.5510%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaci3k_ts.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoq_ndov3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06017
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.509727e+00, 559 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50973 0 50 1.06017 1.50973 42.4% - 0s
0 0 1.27649 0 54 1.06017 1.27649 20.4% - 0s
0 0 1.22494 0 77 1.06017 1.22494 15.5% - 0s
0 0 1.22243 0 61 1.06017 1.22243 15.3% - 0s
0 0 1.22243 0 62 1.06017 1.22243 15.3% - 0s
0 0 1.22101 0 59 1.06017 1.22101 15.2% - 0s
0 0 1.21999 0 63 1.06017 1.21999 15.1% - 0s
0 0 1.21920 0 58 1.06017 1.21920 15.0% - 0s
0 0 1.21920 0 52 1.06017 1.21920 15.0% - 0s
0 2 1.21920 0 51 1.06017 1.21920 15.0% - 0s
Cutting planes:
Gomory: 69
Cover: 3
Implied bound: 15
Projected implied bound: 7
MIR: 5
Flow cover: 23
Inf proof: 12
Explored 3181 nodes (41745 simplex iterations) in 4.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.06017
Optimal solution found (tolerance 1.00e-02)
Best objective 1.060171977837e+00, best bound 1.070144145099e+00, gap 0.9406%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx54hx5u_.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwuq64h5r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05913
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.495344e+00, 582 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49534 0 53 1.05913 1.49534 41.2% - 0s
0 0 1.27602 0 56 1.05913 1.27602 20.5% - 0s
0 0 1.23813 0 75 1.05913 1.23813 16.9% - 0s
0 0 1.22600 0 58 1.05913 1.22600 15.8% - 0s
0 0 1.22599 0 55 1.05913 1.22599 15.8% - 0s
0 0 1.22364 0 60 1.05913 1.22364 15.5% - 0s
0 0 1.22353 0 64 1.05913 1.22353 15.5% - 0s
0 0 1.22253 0 63 1.05913 1.22253 15.4% - 0s
0 0 1.22253 0 59 1.05913 1.22253 15.4% - 0s
0 2 1.22253 0 57 1.05913 1.22253 15.4% - 0s
Cutting planes:
Gomory: 60
Cover: 1
Implied bound: 9
Projected implied bound: 5
MIR: 10
Flow cover: 16
Inf proof: 5
Explored 2167 nodes (18640 simplex iterations) in 3.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.05913
Optimal solution found (tolerance 1.00e-02)
Best objective 1.059132490666e+00, best bound 1.069334296514e+00, gap 0.9632%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprnogop8z.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpppvszrs4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05784
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.484503e+00, 634 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48450 0 54 1.05784 1.48450 40.3% - 0s
0 0 1.26326 0 61 1.05784 1.26326 19.4% - 0s
0 0 1.23440 0 81 1.05784 1.23440 16.7% - 0s
0 0 1.22972 0 66 1.05784 1.22972 16.2% - 0s
0 0 1.22743 0 74 1.05784 1.22743 16.0% - 0s
0 0 1.22742 0 78 1.05784 1.22742 16.0% - 0s
0 0 1.22375 0 78 1.05784 1.22375 15.7% - 0s
0 0 1.22371 0 79 1.05784 1.22371 15.7% - 0s
0 0 1.21610 0 79 1.05784 1.21610 15.0% - 0s
0 0 1.21591 0 81 1.05784 1.21591 14.9% - 0s
0 0 1.21499 0 88 1.05784 1.21499 14.9% - 0s
0 0 1.21499 0 81 1.05784 1.21499 14.9% - 0s
0 2 1.21499 0 81 1.05784 1.21499 14.9% - 0s
Cutting planes:
Gomory: 59
Cover: 1
Implied bound: 9
Projected implied bound: 6
MIR: 16
Flow cover: 34
Inf proof: 4
Explored 2287 nodes (21244 simplex iterations) in 3.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.05784
Optimal solution found (tolerance 1.00e-02)
Best objective 1.057841430795e+00, best bound 1.067637250062e+00, gap 0.9260%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppeo2rmxs.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuz2_onid.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02717
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.439409e+00, 662 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43941 0 57 1.02717 1.43941 40.1% - 0s
0 0 1.22483 0 65 1.02717 1.22483 19.2% - 0s
0 0 1.18158 0 87 1.02717 1.18158 15.0% - 0s
0 0 1.17439 0 67 1.02717 1.17439 14.3% - 0s
0 0 1.16933 0 75 1.02717 1.16933 13.8% - 0s
0 0 1.16933 0 75 1.02717 1.16933 13.8% - 0s
0 0 1.16596 0 77 1.02717 1.16596 13.5% - 0s
0 0 1.16506 0 79 1.02717 1.16506 13.4% - 0s
0 0 1.16505 0 78 1.02717 1.16505 13.4% - 0s
0 0 1.16035 0 83 1.02717 1.16035 13.0% - 0s
0 0 1.16023 0 85 1.02717 1.16023 13.0% - 0s
0 0 1.15969 0 87 1.02717 1.15969 12.9% - 0s
0 0 1.15969 0 81 1.02717 1.15969 12.9% - 0s
0 2 1.15969 0 81 1.02717 1.15969 12.9% - 0s
3852 476 1.03602 52 44 1.02717 1.03784 1.04% 10.5 5s
Cutting planes:
Gomory: 66
Cover: 5
Implied bound: 12
Projected implied bound: 6
MIR: 9
Flow cover: 34
Inf proof: 14
Explored 4108 nodes (43266 simplex iterations) in 5.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.02717
Optimal solution found (tolerance 1.00e-02)
Best objective 1.027173295471e+00, best bound 1.036770542459e+00, gap 0.9343%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn7s9z5v0.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxx6zvnhy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.999382
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.396019e+00, 656 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39602 0 58 0.99938 1.39602 39.7% - 0s
0 0 1.18895 0 62 0.99938 1.18895 19.0% - 0s
0 0 1.16794 0 83 0.99938 1.16794 16.9% - 0s
0 0 1.15902 0 70 0.99938 1.15902 16.0% - 0s
0 0 1.15540 0 73 0.99938 1.15540 15.6% - 0s
0 0 1.15508 0 78 0.99938 1.15508 15.6% - 0s
0 0 1.15498 0 79 0.99938 1.15498 15.6% - 0s
0 0 1.15152 0 67 0.99938 1.15152 15.2% - 0s
0 0 1.15107 0 78 0.99938 1.15107 15.2% - 0s
0 0 1.15105 0 65 0.99938 1.15105 15.2% - 0s
0 0 1.14878 0 75 0.99938 1.14878 14.9% - 0s
0 0 1.14868 0 76 0.99938 1.14868 14.9% - 0s
0 0 1.14833 0 80 0.99938 1.14833 14.9% - 0s
0 0 1.14833 0 76 0.99938 1.14833 14.9% - 0s
0 2 1.14833 0 76 0.99938 1.14833 14.9% - 0s
Cutting planes:
Gomory: 72
Cover: 9
Implied bound: 8
Projected implied bound: 2
MIR: 11
Flow cover: 24
Inf proof: 11
Explored 2748 nodes (30974 simplex iterations) in 4.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.999382
Optimal solution found (tolerance 1.00e-02)
Best objective 9.993819943154e-01, best bound 1.007808645025e+00, gap 0.8432%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppkcayrin.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp27015god.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99153
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.368985e+00, 764 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36898 0 62 0.99153 1.36898 38.1% - 0s
0 0 1.17659 0 66 0.99153 1.17659 18.7% - 0s
0 0 1.15145 0 75 0.99153 1.15145 16.1% - 0s
0 0 1.14952 0 75 0.99153 1.14952 15.9% - 0s
0 0 1.14922 0 75 0.99153 1.14922 15.9% - 0s
0 0 1.14903 0 78 0.99153 1.14903 15.9% - 0s
0 0 1.14656 0 77 0.99153 1.14656 15.6% - 0s
0 0 1.14626 0 78 0.99153 1.14626 15.6% - 0s
0 0 1.14607 0 80 0.99153 1.14607 15.6% - 0s
0 0 1.14373 0 75 0.99153 1.14373 15.3% - 0s
0 0 1.14328 0 78 0.99153 1.14328 15.3% - 0s
0 0 1.13823 0 79 0.99153 1.13823 14.8% - 0s
0 0 1.13803 0 77 0.99153 1.13803 14.8% - 0s
0 0 1.13730 0 81 0.99153 1.13730 14.7% - 0s
0 0 1.13730 0 74 0.99153 1.13730 14.7% - 0s
0 2 1.13730 0 74 0.99153 1.13730 14.7% - 0s
Cutting planes:
Gomory: 75
Cover: 2
Implied bound: 8
Projected implied bound: 8
MIR: 4
Flow cover: 32
Inf proof: 12
Explored 3375 nodes (34135 simplex iterations) in 4.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.99153
Optimal solution found (tolerance 1.00e-02)
Best objective 9.915297747291e-01, best bound 1.000396052132e+00, gap 0.8942%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpohgwnn0n.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk9t4d4a5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.976739
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.346473e+00, 749 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34647 0 63 0.97674 1.34647 37.9% - 0s
0 0 1.14890 0 69 0.97674 1.14890 17.6% - 0s
0 0 1.14818 0 81 0.97674 1.14818 17.6% - 0s
0 0 1.14818 0 73 0.97674 1.14818 17.6% - 0s
0 2 1.14818 0 73 0.97674 1.14818 17.6% - 0s
3266 573 cutoff 47 0.97674 1.01044 3.45% 12.7 5s
Cutting planes:
Gomory: 84
Cover: 1
Implied bound: 13
Projected implied bound: 9
Clique: 1
MIR: 5
Flow cover: 31
Inf proof: 45
Explored 6506 nodes (78195 simplex iterations) in 8.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.976739
Optimal solution found (tolerance 1.00e-02)
Best objective 9.767390713031e-01, best bound 9.857967902416e-01, gap 0.9273%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi_q4mu5q.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbq0numdu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.965502
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.324026e+00, 702 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32403 0 64 0.96550 1.32403 37.1% - 0s
0 0 1.14255 0 67 0.96550 1.14255 18.3% - 0s
0 0 1.13387 0 83 0.96550 1.13387 17.4% - 0s
0 0 1.13328 0 77 0.96550 1.13328 17.4% - 0s
0 0 1.13307 0 78 0.96550 1.13307 17.4% - 0s
0 0 1.13295 0 78 0.96550 1.13295 17.3% - 0s
0 0 1.13180 0 80 0.96550 1.13180 17.2% - 0s
0 0 1.13152 0 80 0.96550 1.13152 17.2% - 0s
0 0 1.13152 0 80 0.96550 1.13152 17.2% - 0s
0 0 1.12927 0 78 0.96550 1.12927 17.0% - 0s
0 0 1.12920 0 78 0.96550 1.12920 17.0% - 0s
0 0 1.11903 0 80 0.96550 1.11903 15.9% - 0s
0 0 1.11889 0 91 0.96550 1.11889 15.9% - 0s
0 0 1.11889 0 86 0.96550 1.11889 15.9% - 0s
0 0 1.11889 0 83 0.96550 1.11889 15.9% - 0s
0 2 1.11889 0 82 0.96550 1.11889 15.9% - 0s
2023 477 0.99447 51 67 0.96550 1.01106 4.72% 18.1 5s
6646 670 cutoff 44 0.96550 0.97547 1.03% 14.4 10s
Cutting planes:
Gomory: 91
Cover: 2
Implied bound: 13
Projected implied bound: 6
MIR: 23
StrongCG: 1
Flow cover: 36
Inf proof: 56
Explored 7718 nodes (104813 simplex iterations) in 10.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.965502
Optimal solution found (tolerance 1.00e-02)
Best objective 9.655019191226e-01, best bound 9.741908614617e-01, gap 0.8999%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0re9_awq.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw2ckraje.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.950479
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.285388e+00, 781 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28539 0 67 0.95048 1.28539 35.2% - 0s
0 0 1.10800 0 70 0.95048 1.10800 16.6% - 0s
0 0 1.10743 0 81 0.95048 1.10743 16.5% - 0s
0 0 1.10743 0 74 0.95048 1.10743 16.5% - 0s
0 2 1.10743 0 74 0.95048 1.10743 16.5% - 0s
2455 747 0.96183 37 79 0.95048 1.00338 5.57% 15.2 5s
7041 1056 cutoff 41 0.95048 0.97522 2.60% 15.1 10s
Cutting planes:
Gomory: 88
Cover: 1
Implied bound: 12
Projected implied bound: 12
Clique: 1
MIR: 9
Flow cover: 28
Inf proof: 61
Explored 12541 nodes (161721 simplex iterations) in 14.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.950479
Optimal solution found (tolerance 1.00e-02)
Best objective 9.504793485549e-01, best bound 9.593446889370e-01, gap 0.9327%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppgbnk2zp.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_k6d44v6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.925964
Presolve removed 536 rows and 348 columns
Presolve time: 0.03s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.248282e+00, 874 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24828 0 69 0.92596 1.24828 34.8% - 0s
0 0 1.07657 0 86 0.92596 1.07657 16.3% - 0s
0 0 1.07651 0 86 0.92596 1.07651 16.3% - 0s
0 0 1.07431 0 99 0.92596 1.07431 16.0% - 0s
0 0 1.07417 0 98 0.92596 1.07417 16.0% - 0s
0 0 1.07307 0 93 0.92596 1.07307 15.9% - 0s
0 0 1.07307 0 83 0.92596 1.07307 15.9% - 0s
0 2 1.07307 0 83 0.92596 1.07307 15.9% - 0s
2543 587 cutoff 35 0.92596 0.96382 4.09% 13.6 5s
8131 1284 cutoff 115 0.92596 0.93661 1.15% 11.0 10s
Cutting planes:
Gomory: 90
Cover: 4
Implied bound: 16
Projected implied bound: 8
MIR: 17
StrongCG: 1
Flow cover: 37
Inf proof: 47
Explored 9537 nodes (100766 simplex iterations) in 10.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.925964
Optimal solution found (tolerance 1.00e-02)
Best objective 9.259641192924e-01, best bound 9.348175798300e-01, gap 0.9561%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6ar71hph.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiu_5eq_g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.919266
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.229408e+00, 830 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22941 0 72 0.91927 1.22941 33.7% - 0s
0 0 1.06524 0 90 0.91927 1.06524 15.9% - 0s
0 0 1.06461 0 97 0.91927 1.06461 15.8% - 0s
0 0 1.06461 0 88 0.91927 1.06461 15.8% - 0s
0 2 1.06461 0 88 0.91927 1.06461 15.8% - 0s
2620 880 0.91982 35 81 0.91927 0.97172 5.71% 13.3 5s
6402 1173 cutoff 40 0.91927 0.94899 3.23% 16.1 10s
11406 1505 0.93059 94 46 0.91927 0.93071 1.24% 13.8 15s
Cutting planes:
Gomory: 82
Cover: 1
Implied bound: 18
Projected implied bound: 12
MIR: 6
Flow cover: 38
Inf proof: 82
Explored 14805 nodes (177578 simplex iterations) in 17.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.919266
Optimal solution found (tolerance 1.00e-02)
Best objective 9.192659882865e-01, best bound 9.283268506000e-01, gap 0.9857%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr05jb_5d.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7y8tx422.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [7e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899462
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.202782e+00, 907 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20278 0 71 0.89946 1.20278 33.7% - 0s
0 0 1.04364 0 90 0.89946 1.04364 16.0% - 0s
0 0 1.04315 0 97 0.89946 1.04315 16.0% - 0s
0 0 1.04315 0 89 0.89946 1.04315 16.0% - 0s
0 2 1.04315 0 89 0.89946 1.04315 16.0% - 0s
2692 961 0.91554 35 94 0.89946 0.95083 5.71% 13.0 5s
6292 1502 0.92300 36 87 0.89946 0.93406 3.85% 14.7 10s
H 8494 1633 0.8994618 0.92674 3.03% 15.0 13s
9547 1597 infeasible 34 0.89946 0.92277 2.59% 15.0 15s
H 9624 1607 0.8994618 0.92260 2.57% 15.0 15s
H11042 1594 0.8994618 0.91823 2.09% 14.7 17s
13100 1551 cutoff 74 0.89946 0.91355 1.57% 14.2 20s
H14408 1554 0.8994618 0.91107 1.29% 14.0 22s
H14410 1555 0.8994618 0.91106 1.29% 14.0 22s
16150 1362 0.90573 53 83 0.89946 0.90847 1.00% 13.7 25s
Cutting planes:
Gomory: 84
Implied bound: 16
Projected implied bound: 6
MIR: 10
Flow cover: 34
Inf proof: 84
Explored 16468 nodes (225874 simplex iterations) in 25.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.899462 0.899462 0.899462 ... 0.899462
Optimal solution found (tolerance 1.00e-02)
Best objective 8.994617799437e-01, best bound 9.081998737809e-01, gap 0.9715%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8wbts8_z.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1un3wcce.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895584
Presolve removed 578 rows and 375 columns
Presolve time: 0.03s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.192364e+00, 942 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19236 0 74 0.89558 1.19236 33.1% - 0s
0 0 1.04664 0 75 0.89558 1.04664 16.9% - 0s
0 0 1.04034 0 98 0.89558 1.04034 16.2% - 0s
0 0 1.04030 0 98 0.89558 1.04030 16.2% - 0s
0 0 1.03920 0 101 0.89558 1.03920 16.0% - 0s
0 0 1.03920 0 94 0.89558 1.03920 16.0% - 0s
0 2 1.03920 0 94 0.89558 1.03920 16.0% - 0s
2209 656 0.92391 36 91 0.89558 0.94858 5.92% 16.7 5s
6117 1466 cutoff 38 0.89558 0.93255 4.13% 16.3 10s
9861 1841 0.91598 62 87 0.89558 0.92141 2.88% 16.5 15s
H12979 2114 0.8955835 0.91612 2.29% 16.0 18s
H13008 2124 0.8955835 0.91592 2.27% 16.0 18s
13097 2044 0.90109 79 61 0.89558 0.91586 2.26% 16.0 20s
17418 2161 0.90859 55 69 0.89558 0.90936 1.54% 15.3 25s
H20794 2470 0.8955835 0.90667 1.24% 14.5 38s
20804 2477 0.89782 91 154 0.89558 0.90667 1.24% 14.5 40s
20812 2482 0.89660 98 158 0.89558 0.90667 1.24% 14.5 45s
20821 2488 0.90383 33 167 0.89558 0.90667 1.24% 14.5 50s
20830 2494 0.89807 33 186 0.89558 0.90667 1.24% 14.5 55s
20841 2502 0.89832 77 185 0.89558 0.90667 1.24% 14.5 60s
20850 2508 0.90108 60 186 0.89558 0.90667 1.24% 14.5 65s
20859 2514 0.89760 39 186 0.89558 0.90667 1.24% 14.5 70s
20869 2520 0.89792 84 191 0.89558 0.90667 1.24% 14.5 75s
20878 2526 0.90217 54 192 0.89558 0.90667 1.24% 14.5 80s
20888 2533 0.90307 119 189 0.89558 0.90667 1.24% 14.5 85s
20898 2540 0.89859 78 207 0.89558 0.90667 1.24% 14.5 90s
20908 2546 0.90426 78 210 0.89558 0.90667 1.24% 14.4 95s
20918 2553 0.90613 87 206 0.89558 0.90667 1.24% 14.4 100s
20929 2560 0.89805 98 208 0.89558 0.90667 1.24% 14.4 105s
20937 2566 0.90330 32 206 0.89558 0.90667 1.24% 14.4 110s
20943 2570 0.90178 70 208 0.89558 0.90667 1.24% 14.4 115s
20952 2576 0.89776 118 201 0.89558 0.90667 1.24% 14.4 120s
20956 2579 0.90667 26 171 0.89558 0.90667 1.24% 15.4 126s
20980 2581 0.90667 31 181 0.89558 0.90667 1.24% 15.5 130s
H20982 2449 0.8955835 0.90667 1.24% 15.5 130s
H21079 2343 0.8955835 0.90667 1.24% 15.9 133s
21152 2376 0.90552 55 134 0.89558 0.90667 1.24% 16.0 135s
21630 2408 cutoff 36 0.89558 0.90667 1.24% 17.7 140s
22233 2418 0.89896 33 171 0.89558 0.90667 1.24% 19.8 145s
23099 2406 0.90667 42 168 0.89558 0.90667 1.24% 21.4 150s
23842 2360 cutoff 61 0.89558 0.90667 1.24% 23.1 155s
24676 2261 cutoff 82 0.89558 0.90667 1.24% 24.4 160s
25430 2210 0.90425 87 106 0.89558 0.90667 1.24% 25.3 165s
26873 2168 0.90486 59 109 0.89558 0.90667 1.24% 26.2 171s
28096 2157 cutoff 106 0.89558 0.90667 1.24% 26.8 175s
29847 2599 0.90581 90 90 0.89558 0.90667 1.24% 27.0 180s
31705 3062 0.89589 86 83 0.89558 0.90606 1.17% 27.3 185s
33568 3432 0.90355 89 89 0.89558 0.90499 1.05% 27.4 190s
Cutting planes:
Gomory: 232
Cover: 7
Implied bound: 17
Projected implied bound: 43
MIR: 130
StrongCG: 1
Flow cover: 503
Inf proof: 83
Zero half: 2
Network: 1
Explored 34737 nodes (956083 simplex iterations) in 194.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.895584 0.895584 0.895584 ... 0.895584
Optimal solution found (tolerance 1.00e-02)
Best objective 8.955835259631e-01, best bound 9.044835244554e-01, gap 0.9938%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcxb1qa2c.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9v_ys_ql.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887733
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.180370e+00, 897 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18037 0 79 0.88773 1.18037 33.0% - 0s
0 0 1.03536 0 95 0.88773 1.03536 16.6% - 0s
0 0 1.03487 0 106 0.88773 1.03487 16.6% - 0s
0 0 1.03487 0 97 0.88773 1.03487 16.6% - 0s
0 2 1.03487 0 96 0.88773 1.03487 16.6% - 0s
* 1366 599 160 0.8877654 0.96159 8.32% 16.4 4s
1707 569 0.93116 31 92 0.88777 0.95553 7.63% 17.2 5s
4939 891 0.92082 45 86 0.88777 0.93071 4.84% 18.9 10s
8450 897 0.90542 34 93 0.88777 0.91182 2.71% 19.5 15s
11966 1209 0.90355 79 88 0.88777 0.90355 1.78% 17.4 20s
16327 2234 0.88963 111 36 0.88777 0.89788 1.14% 14.8 25s
Cutting planes:
Gomory: 93
Cover: 3
Implied bound: 15
Projected implied bound: 12
MIR: 6
Flow cover: 37
Inf proof: 109
Explored 17709 nodes (255689 simplex iterations) in 26.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.887765 0.887733
Optimal solution found (tolerance 1.00e-02)
Best objective 8.877653807182e-01, best bound 8.964276022934e-01, gap 0.9757%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3x9ajfmf.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxhrzafs_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.875132
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.159026e+00, 981 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15903 0 82 0.87513 1.15903 32.4% - 0s
0 0 1.02211 0 100 0.87513 1.02211 16.8% - 0s
0 0 1.02146 0 108 0.87513 1.02146 16.7% - 0s
0 0 1.02146 0 95 0.87513 1.02146 16.7% - 0s
0 2 1.02146 0 95 0.87513 1.02146 16.7% - 0s
1872 706 0.87944 32 85 0.87513 0.94955 8.50% 17.7 5s
6059 2003 0.91330 25 98 0.87513 0.92525 5.73% 15.6 10s
H 8871 2354 0.8751322 0.91789 4.89% 16.8 14s
9183 2350 0.87805 83 56 0.87513 0.91723 4.81% 16.9 15s
12160 2610 0.88646 36 92 0.87513 0.91158 4.17% 18.1 20s
14750 2809 cutoff 31 0.87513 0.90553 3.47% 18.7 25s
H14752 2809 0.8751322 0.90553 3.47% 18.7 25s
17783 2747 0.89603 50 91 0.87513 0.89976 2.81% 19.0 30s
20665 3107 0.88157 66 64 0.87513 0.89619 2.41% 18.4 43s
21655 3181 cutoff 56 0.87513 0.89510 2.28% 18.4 45s
24657 3202 cutoff 57 0.87513 0.89174 1.90% 18.7 50s
27865 3471 0.88077 91 45 0.87513 0.88888 1.57% 18.7 55s
31583 3645 infeasible 38 0.87513 0.88568 1.21% 18.2 60s
Cutting planes:
Gomory: 107
Cover: 1
Implied bound: 27
Projected implied bound: 17
MIR: 16
Flow cover: 85
Inf proof: 161
Explored 35257 nodes (621351 simplex iterations) in 64.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.875132 0.875132 0.875132
Optimal solution found (tolerance 1.00e-02)
Best objective 8.751322036360e-01, best bound 8.838045212743e-01, gap 0.9910%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo0v7mvri.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr645u_8k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.855259
Presolve removed 620 rows and 402 columns
Presolve time: 0.04s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.129881e+00, 1010 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12988 0 83 0.85526 1.12988 32.1% - 0s
0 0 0.99715 0 102 0.85526 0.99715 16.6% - 0s
0 0 0.99588 0 105 0.85526 0.99588 16.4% - 0s
0 0 0.99516 0 106 0.85526 0.99516 16.4% - 0s
0 0 0.99008 0 103 0.85526 0.99008 15.8% - 0s
0 0 0.99008 0 103 0.85526 0.99008 15.8% - 0s
0 0 0.98998 0 104 0.85526 0.98998 15.8% - 0s
0 0 0.98998 0 94 0.85526 0.98998 15.8% - 0s
0 2 0.98998 0 94 0.85526 0.98998 15.8% - 0s
1713 689 0.90479 29 95 0.85526 0.93144 8.91% 16.8 5s
H 4309 1326 0.8552585 0.90669 6.01% 16.7 9s
4725 1398 0.89467 27 93 0.85526 0.90433 5.74% 17.0 10s
H 5138 1531 0.8552585 0.90382 5.68% 16.8 11s
7163 1738 cutoff 36 0.85526 0.89670 4.85% 17.6 15s
H 7417 1770 0.8552585 0.89605 4.77% 17.7 16s
9620 1752 cutoff 40 0.85526 0.89094 4.17% 18.7 20s
12330 1449 0.87235 71 71 0.85526 0.88035 2.93% 19.2 25s
16229 1669 0.87221 54 83 0.85526 0.87221 1.98% 17.7 30s
20288 2889 0.86662 98 46 0.85526 0.86904 1.61% 15.9 35s
23966 3764 infeasible 92 0.85526 0.86731 1.41% 14.7 48s
25408 3997 0.86539 61 94 0.85526 0.86647 1.31% 14.5 50s
30121 4800 0.85998 118 44 0.85526 0.86465 1.10% 13.8 55s
Cutting planes:
Gomory: 104
Cover: 2
Implied bound: 28
Projected implied bound: 15
MIR: 9
Flow cover: 63
Inf proof: 189
Explored 32799 nodes (444479 simplex iterations) in 57.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.855259 0.855259 0.855259 0.855259
Optimal solution found (tolerance 1.00e-02)
Best objective 8.552585061264e-01, best bound 8.637749018445e-01, gap 0.9958%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeempfrf6.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyx0y3c_m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.843502
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.103736e+00, 1017 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10374 0 87 0.84350 1.10374 30.9% - 0s
0 0 0.98811 0 89 0.84350 0.98811 17.1% - 0s
0 0 0.98811 0 94 0.84350 0.98811 17.1% - 0s
0 0 0.98251 0 112 0.84350 0.98251 16.5% - 0s
0 0 0.98242 0 111 0.84350 0.98242 16.5% - 0s
0 0 0.98162 0 120 0.84350 0.98162 16.4% - 0s
0 0 0.98158 0 119 0.84350 0.98158 16.4% - 0s
0 0 0.98152 0 112 0.84350 0.98152 16.4% - 0s
0 0 0.98152 0 101 0.84350 0.98152 16.4% - 0s
0 2 0.98152 0 101 0.84350 0.98152 16.4% - 0s
1476 684 0.87731 32 103 0.84350 0.90620 7.43% 18.8 5s
5079 1423 0.88050 49 105 0.84350 0.88300 4.68% 17.8 10s
H 7100 1556 0.8435020 0.87690 3.96% 19.1 14s
7405 1538 0.85113 45 83 0.84350 0.87579 3.83% 19.1 15s
10378 1603 0.86158 84 82 0.84350 0.86685 2.77% 19.5 20s
14841 2771 infeasible 38 0.84350 0.86154 2.14% 16.9 25s
19463 3378 0.84648 96 64 0.84350 0.85715 1.62% 15.5 30s
21377 3905 0.84682 96 65 0.84350 0.85628 1.52% 14.9 43s
23293 4463 0.85103 96 84 0.84350 0.85573 1.45% 14.3 45s
28891 5691 cutoff 65 0.84350 0.85420 1.27% 13.5 50s
33501 6380 0.84824 74 80 0.84350 0.85298 1.12% 13.2 55s
38279 7142 0.85073 92 72 0.84350 0.85214 1.02% 12.8 60s
Cutting planes:
Gomory: 118
Cover: 1
Implied bound: 27
Projected implied bound: 15
Clique: 1
MIR: 17
Flow cover: 72
Inf proof: 182
Explored 39465 nodes (505935 simplex iterations) in 61.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.843502 0.843502
Optimal solution found (tolerance 1.00e-02)
Best objective 8.435019620377e-01, best bound 8.518732837681e-01, gap 0.9924%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzsk4jizq.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzp603alt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.835477
Presolve removed 648 rows and 420 columns
Presolve time: 0.04s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.087285e+00, 1064 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08728 0 91 0.83548 1.08728 30.1% - 0s
0 0 0.97745 0 109 0.83548 0.97745 17.0% - 0s
0 0 0.97706 0 122 0.83548 0.97706 16.9% - 0s
0 0 0.97706 0 107 0.83548 0.97706 16.9% - 0s
0 2 0.97706 0 107 0.83548 0.97706 16.9% - 0s
1192 611 0.89776 32 91 0.83548 0.92260 10.4% 21.1 5s
4086 1195 0.86371 41 90 0.83548 0.89311 6.90% 20.3 10s
H 6215 1501 0.8354773 0.88535 5.97% 21.3 14s
6429 1479 0.84728 36 105 0.83548 0.88401 5.81% 21.6 15s
9219 1725 0.85607 42 94 0.83548 0.87445 4.66% 22.2 20s
12513 2148 0.84184 38 103 0.83548 0.86702 3.77% 21.7 25s
15506 2509 infeasible 81 0.83548 0.86194 3.17% 20.9 30s
19368 3034 0.83960 67 69 0.83548 0.85808 2.71% 19.9 35s
21124 3109 cutoff 66 0.83548 0.85645 2.51% 19.6 50s
24138 3517 0.85154 47 101 0.83548 0.85434 2.26% 19.8 55s
27012 3788 cutoff 61 0.83548 0.85196 1.97% 20.0 60s
31094 4589 0.84474 56 85 0.83548 0.84993 1.73% 19.4 65s
35205 5014 cutoff 53 0.83548 0.84822 1.53% 19.0 70s
39928 5746 0.84550 98 45 0.83548 0.84652 1.32% 18.3 75s
44856 6771 0.84524 90 60 0.83548 0.84524 1.17% 17.5 80s
48781 7329 0.83570 140 21 0.83548 0.84453 1.08% 17.1 85s
Cutting planes:
Learned: 1
Gomory: 148
Cover: 1
Implied bound: 27
Projected implied bound: 25
MIR: 18
Flow cover: 118
Inf proof: 254
Explored 52317 nodes (876690 simplex iterations) in 89.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.835477 0.835477
Optimal solution found (tolerance 1.00e-02)
Best objective 8.354773120977e-01, best bound 8.437511730759e-01, gap 0.9903%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpixavxobk.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3pzh6vkg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.824083
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.071886e+00, 988 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07189 0 90 0.82408 1.07189 30.1% - 0s
0 0 0.96518 0 117 0.82408 0.96518 17.1% - 0s
0 0 0.96406 0 120 0.82408 0.96406 17.0% - 0s
0 0 0.96345 0 119 0.82408 0.96345 16.9% - 0s
0 0 0.95868 0 118 0.82408 0.95868 16.3% - 0s
0 0 0.95864 0 118 0.82408 0.95864 16.3% - 0s
0 0 0.95856 0 115 0.82408 0.95856 16.3% - 0s
0 0 0.95856 0 107 0.82408 0.95856 16.3% - 0s
0 2 0.95856 0 106 0.82408 0.95856 16.3% - 0s
1319 672 0.88533 42 96 0.82408 0.90139 9.38% 20.1 5s
4647 1264 infeasible 29 0.82408 0.88074 6.88% 19.2 10s
6912 1307 infeasible 40 0.82408 0.86980 5.55% 20.3 15s
H 7782 1459 0.8240831 0.86800 5.33% 20.2 16s
H 8631 1437 0.8240831 0.86260 4.67% 20.3 19s
8905 1499 0.84755 57 104 0.82408 0.86090 4.47% 20.0 20s
11149 1665 0.84204 36 98 0.82408 0.85283 3.49% 19.6 25s
14763 1867 0.84518 56 87 0.82408 0.84536 2.58% 18.9 30s
19019 2438 0.83239 57 98 0.82408 0.84074 2.02% 17.6 35s
21277 2831 0.83515 29 133 0.82408 0.83920 1.83% 16.8 49s
21858 2997 0.82784 40 109 0.82408 0.83905 1.82% 16.7 51s
25859 4172 cutoff 90 0.82408 0.83755 1.63% 15.6 55s
31275 5590 0.82660 120 50 0.82408 0.83585 1.43% 14.6 60s
36784 6757 0.82717 124 52 0.82408 0.83446 1.26% 13.8 65s
42509 8164 0.82428 141 27 0.82408 0.83358 1.15% 13.2 70s
47876 9301 0.82581 123 38 0.82408 0.83284 1.06% 12.7 75s
Cutting planes:
Gomory: 110
Cover: 1
Implied bound: 23
Projected implied bound: 17
Clique: 1
MIR: 21
Flow cover: 78
Inf proof: 231
Explored 52363 nodes (649315 simplex iterations) in 78.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.824083 0.824083 0.824083
Optimal solution found (tolerance 1.00e-02)
Best objective 8.240831258201e-01, best bound 8.322783480003e-01, gap 0.9945%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd34_q507.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd_q90mi4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.818214
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.061129e+00, 1087 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06113 0 91 0.81821 1.06113 29.7% - 0s
0 0 0.95777 0 122 0.81821 0.95777 17.1% - 0s
0 0 0.95773 0 122 0.81821 0.95773 17.1% - 0s
0 0 0.95574 0 120 0.81821 0.95574 16.8% - 0s
0 0 0.95527 0 119 0.81821 0.95527 16.8% - 0s
0 0 0.95384 0 122 0.81821 0.95384 16.6% - 0s
0 0 0.95382 0 123 0.81821 0.95382 16.6% - 0s
0 0 0.95371 0 124 0.81821 0.95371 16.6% - 0s
0 0 0.95371 0 109 0.81821 0.95371 16.6% - 0s
0 2 0.95371 0 109 0.81821 0.95371 16.6% - 0s
1023 587 cutoff 21 0.81821 0.91252 11.5% 20.8 5s
3913 1157 cutoff 38 0.81821 0.87405 6.82% 18.9 10s
H 3944 1172 0.8182136 0.87405 6.82% 19.0 10s
6896 1710 0.84808 29 119 0.81821 0.86468 5.68% 18.5 15s
H 6942 1710 0.8182136 0.86468 5.68% 18.5 15s
9270 2177 0.85004 26 127 0.81821 0.85952 5.05% 18.3 20s
11403 2403 cutoff 32 0.81821 0.85440 4.42% 18.7 25s
13903 2541 cutoff 37 0.81821 0.84972 3.85% 19.3 30s
15867 2601 infeasible 68 0.81821 0.84559 3.35% 19.6 35s
18995 2659 cutoff 52 0.81821 0.84006 2.67% 19.7 40s
20704 2788 0.83778 52 86 0.81821 0.83795 2.41% 19.5 56s
22631 2954 cutoff 47 0.81821 0.83638 2.22% 19.6 60s
25137 3125 0.82438 54 76 0.81821 0.83463 2.01% 20.0 65s
28183 3566 0.82024 64 97 0.81821 0.83308 1.82% 19.9 70s
31677 4345 infeasible 76 0.81821 0.83170 1.65% 19.3 75s
35000 4902 infeasible 96 0.81821 0.83054 1.51% 18.9 80s
38773 5663 0.82589 105 48 0.81821 0.82919 1.34% 18.4 85s
42749 6495 0.82378 55 113 0.81821 0.82840 1.25% 17.8 90s
47039 7219 0.81921 87 58 0.81821 0.82752 1.14% 17.3 95s
51326 7893 cutoff 114 0.81821 0.82672 1.04% 16.8 100s
Cutting planes:
Gomory: 140
Cover: 2
Implied bound: 42
Projected implied bound: 23
MIR: 24
Flow cover: 104
Inf proof: 241
Explored 53583 nodes (890667 simplex iterations) in 102.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.818214 0.818214 0.818214
Optimal solution found (tolerance 1.00e-02)
Best objective 8.182136260003e-01, best bound 8.263688266362e-01, gap 0.9967%
Run 8
Seed for training 756
Seed for simulation 843
direc: array([[ 0. , 26.4542922 , -10.00608501],
[ 0. , 0. , 0. ],
[ 0. , -3.08926912, 109.17773972]])
fopt: 0.5771445788731321
fun: -0.6001951173059034
message: 'Optimization terminated successfully.'
nfev: 714
nit: 11
status: 0
success: True
x: array([197.46573887, -22.14471893, 192.10788282])
xopt: array([197., 0., 193.])
zopt: array([197., 197., 390.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjs14jmuc.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6km2xovv.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.577145
Presolve removed 690 rows and 447 columns
Presolve time: 0.02s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.707926e-01, 1051 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97079 0 91 0.57714 0.97079 68.2% - 0s
0 0 0.92856 0 109 0.57714 0.92856 60.9% - 0s
0 0 0.92275 0 108 0.57714 0.92275 59.9% - 0s
0 0 0.90883 0 122 0.57714 0.90883 57.5% - 0s
0 0 0.90878 0 123 0.57714 0.90878 57.5% - 0s
0 0 0.90781 0 134 0.57714 0.90781 57.3% - 0s
0 0 0.90777 0 131 0.57714 0.90777 57.3% - 0s
0 0 0.90771 0 137 0.57714 0.90771 57.3% - 0s
0 0 0.90771 0 126 0.57714 0.90771 57.3% - 0s
0 2 0.90771 0 124 0.57714 0.90771 57.3% - 0s
791 512 infeasible 20 0.57714 0.85654 48.4% 35.9 5s
* 1950 674 215 0.6246501 0.81405 30.3% 35.7 8s
2447 848 0.65926 43 110 0.62465 0.80592 29.0% 34.1 10s
3749 1544 cutoff 37 0.62465 0.79141 26.7% 34.5 15s
5625 2222 cutoff 38 0.62465 0.78476 25.6% 36.1 20s
7137 2814 cutoff 39 0.62465 0.78076 25.0% 37.3 25s
9145 3555 0.71832 35 111 0.62465 0.77640 24.3% 37.7 30s
H 9567 2851 0.6681347 0.77640 16.2% 37.9 32s
9875 2912 0.73875 40 115 0.66813 0.77481 16.0% 38.1 35s
11582 3395 cutoff 34 0.66813 0.77147 15.5% 38.4 40s
13366 3891 0.74761 37 125 0.66813 0.76845 15.0% 38.9 45s
15110 4439 cutoff 52 0.66813 0.76604 14.7% 39.0 50s
17070 5013 cutoff 42 0.66813 0.76391 14.3% 39.1 55s
18573 5424 cutoff 35 0.66813 0.76217 14.1% 39.3 60s
20879 6174 0.68432 58 99 0.66813 0.76018 13.8% 38.9 79s
21213 6259 infeasible 45 0.66813 0.75986 13.7% 38.8 80s
22392 6630 infeasible 38 0.66813 0.75886 13.6% 39.2 85s
23489 6834 0.71773 38 136 0.66813 0.75800 13.5% 39.9 90s
24496 7097 cutoff 38 0.66813 0.75693 13.3% 40.6 95s
26097 7600 cutoff 45 0.66813 0.75570 13.1% 41.3 100s
27175 7824 0.72938 47 124 0.66813 0.75470 13.0% 41.9 105s
28489 8152 0.72739 42 132 0.66813 0.75326 12.7% 42.5 110s
29789 8497 cutoff 54 0.66813 0.75227 12.6% 42.8 115s
30990 8788 0.71645 40 122 0.66813 0.75135 12.5% 43.3 120s
31900 8977 0.70555 41 130 0.66813 0.75053 12.3% 43.7 125s
32426 9087 0.71493 45 138 0.66813 0.75012 12.3% 44.0 130s
33673 9393 0.67768 45 120 0.66813 0.74915 12.1% 44.5 135s
34590 9600 0.71870 44 129 0.66813 0.74843 12.0% 44.8 140s
35959 9916 0.68480 36 133 0.66813 0.74747 11.9% 45.3 146s
36887 10038 0.69370 41 133 0.66813 0.74689 11.8% 45.7 150s
38111 10343 0.71889 46 124 0.66813 0.74611 11.7% 45.9 155s
39176 10560 cutoff 52 0.66813 0.74555 11.6% 46.1 160s
40281 10848 0.67721 52 109 0.66813 0.74467 11.5% 46.3 165s
41331 11100 infeasible 37 0.66813 0.74392 11.3% 46.7 170s
42609 11416 0.69488 38 135 0.66813 0.74322 11.2% 46.9 175s
43683 11686 0.69635 45 117 0.66813 0.74248 11.1% 47.0 180s
45198 12021 0.68911 46 132 0.66813 0.74149 11.0% 47.3 186s
46316 12231 cutoff 49 0.66813 0.74097 10.9% 47.5 191s
47605 12535 cutoff 44 0.66813 0.74041 10.8% 47.6 196s
48732 12741 0.68465 57 100 0.66813 0.73988 10.7% 47.8 201s
49852 13002 0.72077 49 118 0.66813 0.73943 10.7% 47.9 206s
50451 13135 0.72250 42 137 0.66813 0.73911 10.6% 48.1 210s
51048 13200 0.71872 45 127 0.66813 0.73866 10.6% 48.3 215s
52101 13368 infeasible 52 0.66813 0.73816 10.5% 48.4 221s
53429 13713 0.67972 47 116 0.66813 0.73752 10.4% 48.4 226s
54434 14016 0.71387 56 100 0.66813 0.73710 10.3% 48.4 230s
55620 14319 0.73119 49 120 0.66813 0.73659 10.2% 48.5 235s
56936 14690 0.70521 50 111 0.66813 0.73606 10.2% 48.5 240s
57982 14887 0.70159 46 117 0.66813 0.73561 10.1% 48.6 245s
59129 15220 0.68463 41 145 0.66813 0.73511 10.0% 48.7 250s
60649 15649 0.68028 40 137 0.66813 0.73471 10.0% 48.7 256s
61942 15986 0.70820 52 102 0.66813 0.73439 9.92% 48.7 261s
63002 16210 0.70039 46 103 0.66813 0.73400 9.86% 48.7 266s
64159 16508 0.68275 52 101 0.66813 0.73365 9.81% 48.8 271s
65141 16803 0.72861 47 129 0.66813 0.73339 9.77% 48.8 275s
66398 17151 cutoff 50 0.66813 0.73300 9.71% 48.8 280s
67409 17339 0.71203 47 132 0.66813 0.73258 9.65% 48.9 285s
68490 17521 0.69650 65 91 0.66813 0.73223 9.59% 49.0 291s
69693 17778 0.68662 44 138 0.66813 0.73177 9.52% 49.1 296s
70589 18023 cutoff 49 0.66813 0.73152 9.49% 49.1 300s
71891 18335 0.70687 43 127 0.66813 0.73106 9.42% 49.1 305s
H73090 17959 0.6734520 0.73066 8.50% 49.1 311s
73869 18080 0.67722 54 112 0.67345 0.73043 8.46% 49.2 316s
74585 18203 0.68028 52 107 0.67345 0.73025 8.43% 49.2 320s
75950 18503 0.68964 49 134 0.67345 0.72982 8.37% 49.3 325s
77114 18630 0.69309 63 104 0.67345 0.72934 8.30% 49.3 330s
78186 18818 0.71851 47 119 0.67345 0.72897 8.24% 49.4 337s
H78188 18649 0.6743008 0.72897 8.11% 49.5 337s
78605 18681 cutoff 47 0.67430 0.72885 8.09% 49.5 341s
79405 18822 0.69706 50 115 0.67430 0.72856 8.05% 49.5 345s
80535 18941 0.70812 43 121 0.67430 0.72807 7.97% 49.6 350s
82007 19202 cutoff 49 0.67430 0.72760 7.90% 49.6 355s
83210 19411 cutoff 43 0.67430 0.72720 7.85% 49.7 360s
84230 19526 0.69554 45 106 0.67430 0.72676 7.78% 49.8 366s
85394 19638 cutoff 55 0.67430 0.72627 7.71% 50.0 371s
86166 19725 cutoff 47 0.67430 0.72600 7.67% 50.0 375s
87248 19800 0.70209 52 118 0.67430 0.72558 7.60% 50.2 380s
88455 19943 0.68134 44 115 0.67430 0.72512 7.54% 50.2 386s
89712 20100 0.70552 50 113 0.67430 0.72474 7.48% 50.3 391s
90567 20182 cutoff 49 0.67430 0.72441 7.43% 50.3 395s
H91066 20305 0.6743008 0.72430 7.42% 50.3 397s
91557 20326 0.69714 60 104 0.67430 0.72417 7.40% 50.3 402s
92402 20454 0.71691 49 126 0.67430 0.72390 7.36% 50.3 405s
93273 20571 cutoff 46 0.67430 0.72367 7.32% 50.4 411s
93847 20555 0.68609 50 125 0.67430 0.72346 7.29% 50.5 415s
95038 20611 infeasible 63 0.67430 0.72305 7.23% 50.5 421s
95912 20712 cutoff 56 0.67430 0.72277 7.19% 50.6 425s
97132 20828 0.69871 51 111 0.67430 0.72245 7.14% 50.7 430s
98393 20946 0.71083 45 117 0.67430 0.72201 7.07% 50.7 436s
99206 21006 cutoff 51 0.67430 0.72169 7.03% 50.8 440s
100553 21158 cutoff 48 0.67430 0.72131 6.97% 50.9 445s
101808 21253 0.68143 53 126 0.67430 0.72098 6.92% 51.0 451s
102618 21297 0.67515 71 85 0.67430 0.72072 6.88% 51.0 455s
103818 21339 0.70795 43 119 0.67430 0.72035 6.83% 51.1 460s
105027 21452 cutoff 47 0.67430 0.72007 6.79% 51.2 466s
105876 21534 0.70988 48 126 0.67430 0.71982 6.75% 51.3 470s
107203 21672 0.69634 45 121 0.67430 0.71952 6.71% 51.3 475s
108344 21749 cutoff 48 0.67430 0.71915 6.65% 51.4 481s
109679 21866 infeasible 54 0.67430 0.71884 6.60% 51.4 486s
110584 21950 cutoff 55 0.67430 0.71858 6.57% 51.5 490s
111801 21995 cutoff 55 0.67430 0.71827 6.52% 51.6 496s
112711 22080 0.68220 49 132 0.67430 0.71803 6.49% 51.6 500s
114010 22155 0.70098 43 132 0.67430 0.71774 6.44% 51.6 505s
115193 22225 0.68383 52 122 0.67430 0.71740 6.39% 51.8 511s
116133 22316 cutoff 51 0.67430 0.71718 6.36% 51.7 515s
117427 22354 0.67887 50 121 0.67430 0.71696 6.33% 51.8 520s
118270 22402 0.68883 56 124 0.67430 0.71672 6.29% 51.9 525s
119711 22593 0.68750 48 134 0.67430 0.71645 6.25% 51.9 530s
121079 22815 0.68862 68 80 0.67430 0.71621 6.22% 51.8 536s
122009 22871 cutoff 46 0.67430 0.71602 6.19% 51.8 540s
123280 22973 0.67708 59 99 0.67430 0.71573 6.14% 51.9 545s
124551 23043 0.69387 47 116 0.67430 0.71545 6.10% 51.9 550s
125803 23130 cutoff 51 0.67430 0.71508 6.05% 52.0 556s
126691 23140 0.67483 46 133 0.67430 0.71488 6.02% 52.0 560s
128074 23265 0.69023 39 93 0.67430 0.71453 5.97% 52.0 565s
129364 23362 0.68288 42 130 0.67430 0.71427 5.93% 52.1 570s
H129741 23408 0.6743008 0.71416 5.91% 52.1 573s
129747 23354 0.69917 51 135 0.67430 0.71415 5.91% 52.1 575s
131057 23406 0.69239 59 88 0.67430 0.71388 5.87% 52.1 581s
132014 23455 infeasible 54 0.67430 0.71371 5.84% 52.1 585s
133306 23535 0.70491 41 143 0.67430 0.71344 5.80% 52.2 590s
134697 23662 0.69201 48 133 0.67430 0.71320 5.77% 52.1 597s
135570 23800 cutoff 49 0.67430 0.71302 5.74% 52.1 600s
Cutting planes:
Gomory: 134
Cover: 5
Implied bound: 156
Projected implied bound: 61
MIR: 41
Flow cover: 184
Inf proof: 320
Network: 1
Explored 135613 nodes (7073107 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.674301 0.674301 0.674301 ... 0.577145
Time limit reached
Best objective 6.743007619817e-01, best bound 7.130136211478e-01, gap 5.7412%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnflldawz.pyomo.lp
Reading time = 0.00 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3v_xm_fk.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 673 rows and 480 columns
Presolve time: 0.00s
Presolved: 273 rows, 331 columns, 1356 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.1462638e+01 4.868750e+02 0.000000e+00 0s
155 1.3545238e+01 0.000000e+00 0.000000e+00 0s
Solved in 155 iterations and 0.01 seconds
Optimal objective 1.354523803e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00268729, -0.01412805, -0.01412805]])
fopt: 3.038167854809307
fun: -3.049322582752605
message: 'Optimization terminated successfully.'
nfev: 132
nit: 2
status: 0
success: True
x: array([ 18.11883173, -87.99999921, -87.99999921])
xopt: array([18., 0., 0.])
zopt: array([18., 18., 18.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.97458264e-03, 1.01444963e-02, 2.10267375e-04]])
fopt: 2.51028619003619
fun: -2.5339226045566976
message: 'Optimization terminated successfully.'
nfev: 188
nit: 3
status: 0
success: True
x: array([ 36.25155888, -86.99533948, -0.99898215])
xopt: array([36., 0., 0.])
zopt: array([36., 36., 36.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.10687404, 1.10137626, -0.00579207]])
fopt: 2.3746100191535304
fun: -2.392304379117905
message: 'Optimization terminated successfully.'
nfev: 351
nit: 5
status: 0
success: True
x: array([ 56.99689249, -83.99938087, -0.98587268])
xopt: array([57., 0., 0.])
zopt: array([57., 57., 57.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.16685358e-06, -2.89439249e-07, -1.31074499e-05]])
fopt: 1.7339059119011282
fun: -1.7472376087186527
message: 'Optimization terminated successfully.'
nfev: 216
nit: 3
status: 0
success: True
x: array([ 57.0674336 , -0.99566622, -86.99582721])
xopt: array([57., 0., 0.])
zopt: array([57., 57., 57.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-5.47531542e-06, -1.93703612e-07, 3.72066361e-07],
[ 2.13675639e-16, -3.89159408e-11, -3.32382028e-11]])
fopt: 1.4034263645039182
fun: -1.4050841851053268
message: 'Optimization terminated successfully.'
nfev: 264
nit: 3
status: 0
success: True
x: array([57.71682378, 4.00650607, -0.99999968])
xopt: array([57., 5., 0.])
zopt: array([57., 62., 62.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.20913267e-09, -2.40692722e-19, 3.24139272e-11]])
fopt: 1.2046598778880941
fun: -1.2093109260945272
message: 'Optimization terminated successfully.'
nfev: 343
nit: 3
status: 0
success: True
x: array([113.73586979, 1.00000001, -0.33680242])
xopt: array([113., 1., 0.])
zopt: array([113., 114., 114.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.69897457e-05, 3.75450433e-16, -3.62664932e-07]])
fopt: 1.0587863339173038
fun: -1.0628975834161076
message: 'Optimization terminated successfully.'
nfev: 318
nit: 3
status: 0
success: True
x: array([1.27884254e+02, 1.00000000e+00, 7.15065996e-02])
xopt: array([127., 2., 0.])
zopt: array([127., 129., 129.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.9052477491851031
fun: -0.9087274516194561
message: 'Optimization terminated successfully.'
nfev: 237
nit: 3
status: 0
success: True
x: array([141.9994305 , 1.01163644, 0.30318218])
xopt: array([141., 2., 0.])
zopt: array([141., 143., 143.])
*******************************************
Period: 9
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.01509276, 0.00300945, 0. ]])
fopt: 0.8683174267992876
fun: -0.8751377600699808
message: 'Optimization terminated successfully.'
nfev: 312
nit: 3
status: 0
success: True
x: array([165.0245885 , 1.05927591, -0.8727623 ])
xopt: array([165., 1., 0.])
zopt: array([165., 166., 166.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8265116037198297
fun: -0.8293777253101793
message: 'Optimization terminated successfully.'
nfev: 242
nit: 3
status: 0
success: True
x: array([184.99976282, 0.37546248, -0.99815201])
xopt: array([184., 1., 0.])
zopt: array([184., 185., 185.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7995298906633915
fun: -0.7965901381650891
message: 'Optimization terminated successfully.'
nfev: 375
nit: 3
status: 0
success: True
x: array([202.99938379, 1.0000001 , 1. ])
xopt: array([202., 1., 2.])
zopt: array([202., 203., 205.])
*******************************************
Period: 12
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6986415377329004
fun: -0.6987441040761557
message: 'Optimization terminated successfully.'
nfev: 286
nit: 3
status: 0
success: True
x: array([216.99984481, 2.00813062, 2. ])
xopt: array([216., 3., 2.])
zopt: array([216., 219., 221.])
*******************************************
Period: 13
direc: array([[-4.41240469e+01, 2.72164349e+01, 6.89335712e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.19556892e-02, -2.86982987e-04, 8.97098022e-05]])
fopt: 0.9449701088458267
fun: -0.9448090753967214
message: 'Optimization terminated successfully.'
nfev: 343
nit: 5
status: 0
success: True
x: array([156.97930298, 31.06438667, 74.46993737])
xopt: array([156., 32., 74.])
zopt: array([156., 188., 262.])
*******************************************
Period: 14
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.61840522, 4.23861272, 40.02782759]])
fopt: 0.7980170729910971
fun: -0.7943258888728711
message: 'Optimization terminated successfully.'
nfev: 455
nit: 7
status: 0
success: True
x: array([201.9930761 , 8.19929869, 53.00318634])
xopt: array([201., 8., 54.])
zopt: array([201., 209., 263.])
*******************************************
Period: 15
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 1.4104845 , -1.09957298, -2.05112325]])
fopt: 0.9975769638630182
fun: -0.9955921118415687
message: 'Optimization terminated successfully.'
nfev: 338
nit: 5
status: 0
success: True
x: array([136.86465982, 50.01130618, 92.70890558])
xopt: array([136., 51., 92.])
zopt: array([136., 187., 279.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[-146.54368085, 46.4545 , 78.05745074],
[ 0. , 26.22161572, 0. ]])
fopt: 0.9858393929703259
fun: -0.9819765339429046
message: 'Optimization terminated successfully.'
nfev: 1123
nit: 11
status: 0
success: True
x: array([56.99999868, 85.00153213, 83.07057348])
xopt: array([57., 86., 84.])
zopt: array([ 57., 143., 227.])
*******************************************
Period: 17
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.01325862, -0.00327467, -0.36440153]])
fopt: 0.8544299595891441
fun: -0.8514805742181946
message: 'Optimization terminated successfully.'
nfev: 413
nit: 5
status: 0
success: True
x: array([199.90381387, 3.01805966, 116.28870365])
xopt: array([199., 3., 117.])
zopt: array([199., 202., 319.])
*******************************************
Period: 18
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8908933014506818
fun: -0.8882210226244261
message: 'Optimization terminated successfully.'
nfev: 255
nit: 4
status: 0
success: True
x: array([184.99998612, 2.00038536, 141.10546567])
xopt: array([184., 3., 142.])
zopt: array([184., 187., 329.])
*******************************************
Period: 19
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-69.9414455 , 71.46261364, 148.91188257]])
fopt: 1.0147487129751056
fun: -1.0140426861926213
message: 'Optimization terminated successfully.'
nfev: 327
nit: 5
status: 0
success: True
x: array([104.99994322, 82. , 163.03331486])
xopt: array([104., 83., 163.])
zopt: array([104., 187., 350.])
*******************************************
Period: 20
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.87753740e-03, 4.00575940e+00, 8.10562982e+00],
[ 1.74595404e+01, 1.51380801e+01, -1.29557380e-01]])
fopt: 1.0160141526877415
fun: -1.0139638929257424
message: 'Optimization terminated successfully.'
nfev: 493
nit: 8
status: 0
success: True
x: array([ 78. , 111.01984503, 186.00067882])
xopt: array([ 78., 112., 186.])
zopt: array([ 78., 190., 376.])
*******************************************
Period: 21
direc: array([[ 2.99031910e-09, 1.00000000e+00, 0.00000000e+00],
[-1.43485786e+02, 3.53051719e+01, 7.02933149e+01],
[ 1.09902750e-07, 7.30212635e+01, 0.00000000e+00]])
fopt: 0.7101927521133394
fun: -0.7050965561651535
message: 'Optimization terminated successfully.'
nfev: 972
nit: 10
status: 0
success: True
x: array([ 57.0009915 , 118. , 75.29875453])
xopt: array([ 58., 118., 76.])
zopt: array([ 58., 176., 252.])
*******************************************
Period: 22
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.29138132e+02, 1.04663193e-03, 1.60109384e+02]])
fopt: 0.8345438838432593
fun: -0.8360828109361764
message: 'Optimization terminated successfully.'
nfev: 386
nit: 4
status: 0
success: True
x: array([186.04093453, 1.00031345, 203.02965687])
xopt: array([186., 1., 203.])
zopt: array([186., 187., 390.])
*******************************************
Period: 23
direc: array([[ 0.02965192, 0. , 0.00105956],
[ 0. , 1. , 0. ],
[-0. , -0. , -0. ]])
fopt: 0.9101783163088988
fun: -0.9068720352386417
message: 'Optimization terminated successfully.'
nfev: 822
nit: 9
status: 0
success: True
x: array([ 58.00009361, 90.01339418, 156.46626079])
xopt: array([ 59., 91., 157.])
zopt: array([ 59., 150., 307.])
*******************************************
Period: 24
direc: array([[ 4.06778705e-06, 7.13053376e-09, 2.01895175e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.5254268271025784
fun: -0.5228840893175557
message: 'Optimization terminated successfully.'
nfev: 571
nit: 5
status: 0
success: True
x: array([ 5.74819337e+01, -5.06169664e-06, 6.17690772e+01])
xopt: array([58., 0., 62.])
zopt: array([ 58., 58., 120.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[132.64667641, 0. , 1.94669817]])
fopt: 0.8319458095311977
fun: -0.8387957762008076
message: 'Optimization terminated successfully.'
nfev: 426
nit: 5
status: 0
success: True
x: array([196.84341708, -2.84341708, 206.00001321])
xopt: array([196., 0., 206.])
zopt: array([196., 196., 402.])
*******************************************
Period: 26
direc: array([[ 1.69232019e+00, 3.41503435e+00, 7.00543615e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.23742890e-03, -7.82286683e-04, -1.29630324e-03]])
fopt: 0.5334769256360331
fun: -0.530342721634014
message: 'Optimization terminated successfully.'
nfev: 536
nit: 6
status: 0
success: True
x: array([216.9078697 , 34.00000002, 68.52000085])
xopt: array([216., 34., 69.])
zopt: array([216., 250., 319.])
*******************************************
Period: 27
direc: array([[ 1.14042512e+00, 3.00564568e+00, 2.00564568e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.02990506e-03, 1.12270624e-02, 5.60850652e-03]])
fopt: 0.45221700520948005
fun: -0.45154108574864216
message: 'Optimization terminated successfully.'
nfev: 424
nit: 5
status: 0
success: True
x: array([203.89414186, 10.01066735, 7.01004709])
xopt: array([203., 10., 8.])
zopt: array([203., 213., 221.])
*******************************************
Period: 28
direc: array([[3.25138377e-07, 1.60629406e-09, 3.25682030e-09],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.57969935e-01, 3.00275656e+00, 2.00558903e+00]])
fopt: 0.4625060703834447
fun: -0.4621428780379848
message: 'Optimization terminated successfully.'
nfev: 357
nit: 4
status: 0
success: True
x: array([204.53116741, 9.00538959, 8.0387129 ])
xopt: array([204., 9., 9.])
zopt: array([204., 213., 222.])
*******************************************
Period: 29
direc: array([[1.21017995e-03, 5.98366469e-06, 1.21480798e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.99444529e-01, 3.00345836e+00, 2.00702119e+00]])
fopt: 0.45891904751483853
fun: -0.4582869895540961
message: 'Optimization terminated successfully.'
nfev: 622
nit: 7
status: 0
success: True
x: array([203.99054635, 9.00113264, 8.03841919])
xopt: array([203., 9., 9.])
zopt: array([203., 212., 221.])
*******************************************
Period: 30
direc: array([[ 5.36383184e-09, 3.00974802e-11, 2.66098400e-11],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.64407448e-09, -6.95958409e-03, -4.91643484e-03]])
fopt: 0.4835723564232351
fun: -0.482289247978276
message: 'Optimization terminated successfully.'
nfev: 396
nit: 5
status: 0
success: True
x: array([202.5732398 , 16.0000102 , 12.10548424])
xopt: array([202., 16., 13.])
zopt: array([202., 218., 231.])
*******************************************
Period: 31
direc: array([[ 1.27526412e+00, 3.00641511e+00, 2.00629081e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.77656013e-06, -9.68223301e-06, -6.45940361e-06]])
fopt: 0.49967672704135124
fun: -0.49905578545895307
message: 'Optimization terminated successfully.'
nfev: 538
nit: 6
status: 0
success: True
x: array([204.6487664 , 9.0072542 , 7.00548186])
xopt: array([204., 9., 8.])
zopt: array([204., 213., 221.])
*******************************************
Period: 32
direc: array([[3.19170774e-01, 1.56872191e-03, 1.56872191e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.60863685e-01, 3.00472264e+00, 2.00472264e+00]])
fopt: 0.5127163392306238
fun: -0.5127876704367225
message: 'Optimization terminated successfully.'
nfev: 420
nit: 5
status: 0
success: True
x: array([206.42581681, 9.01011942, 7.00966632])
xopt: array([206., 9., 8.])
zopt: array([206., 215., 223.])
*******************************************
Period: 33
direc: array([[ 1.45764596e+02, 0.00000000e+00, 2.12968414e+00],
[-3.07357193e+01, 7.05540368e+00, 1.66420569e+01],
[ 1.30745688e-01, 9.44271898e-01, 1.91021023e-03]])
fopt: 0.5747151694328935
fun: -0.5737207195053386
message: 'Optimization terminated successfully.'
nfev: 814
nit: 9
status: 0
success: True
x: array([174.93212944, 13.01902869, 33.09795009])
xopt: array([174., 13., 34.])
zopt: array([174., 187., 221.])
*******************************************
Period: 34
direc: array([[145.9857978 , 0. , 2.13291599],
[ 0. , 1. , 0. ],
[-12.06860969, 23.6141162 , 121.07944999]])
fopt: 0.8255603105359863
fun: -0.8260336916710395
message: 'Optimization terminated successfully.'
nfev: 775
nit: 11
status: 0
success: True
x: array([145. , 49.0000095 , 206.00001632])
xopt: array([144., 49., 206.])
zopt: array([144., 193., 399.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[145.42944501, 0. , 2.12486753]])
fopt: 0.4680773320604622
fun: -0.46808786612574005
message: 'Optimization terminated successfully.'
nfev: 597
nit: 7
status: 0
success: True
x: array([214.48961492, 1.00073924, 9.00000412])
xopt: array([214., 1., 10.])
zopt: array([214., 215., 225.])
*******************************************
Period: 36
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[145.5317347 , 0. , 2.12852319]])
fopt: 0.4632016965755894
fun: -0.46594549185931505
message: 'Optimization terminated successfully.'
nfev: 603
nit: 7
status: 0
success: True
x: array([275.22885972, -0.61712036, 9.00000653])
xopt: array([275., 0., 10.])
zopt: array([275., 275., 285.])
*******************************************
Period: 37
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.25039603e+01, 6.52839856e-03, 2.21776927e+01],
[-2.04148466e+01, 7.09754469e+00, 2.11087685e+01]])
fopt: 0.7152084203504511
fun: -0.7077960909834542
message: 'Optimization terminated successfully.'
nfev: 903
nit: 12
status: 0
success: True
x: array([115.53548946, 36.72528935, 169.00322815])
xopt: array([116., 37., 170.])
zopt: array([116., 153., 323.])
*******************************************
Period: 38
direc: array([[-1.73430004e+01, 5.96085938e-06, 1.70585521e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.16612753e-07, -5.28359057e-08, -1.01433677e-06]])
fopt: 0.6364462976434445
fun: -0.6329330789589083
message: 'Optimization terminated successfully.'
nfev: 780
nit: 8
status: 0
success: True
x: array([182.18333059, 3.00005509, 100.33726416])
xopt: array([183., 4., 101.])
zopt: array([183., 187., 288.])
*******************************************
Period: 39
direc: array([[ 0. , 14.00000018, 8.0000001 ],
[ 0. , 1. , 0. ],
[-107.86084586, 124.00913554, 67.74673979]])
fopt: 0.7174407445664336
fun: -0.716012511416517
message: 'Optimization terminated successfully.'
nfev: 797
nit: 9
status: 0
success: True
x: array([ 77.69294715, 202. , 114.66153927])
xopt: array([ 77., 202., 114.])
zopt: array([ 77., 279., 393.])
*******************************************
Period: 40
direc: array([[ 2.06496812e+02, 0.00000000e+00, 3.02224199e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.24984514e-04, 3.33726980e+01, 1.90701040e+01]])
fopt: 0.7317712738395183
fun: -0.7312747781949179
message: 'Optimization terminated successfully.'
nfev: 1450
nit: 16
status: 0
success: True
x: array([ 77. , 175. , 99.16694511])
xopt: array([ 78., 176., 100.])
zopt: array([ 78., 254., 354.])
*******************************************
Period: 41
direc: array([[ 2.06974808e+02, 0.00000000e+00, 3.03420821e+00],
[-2.98131472e+01, 3.93357678e+01, 2.58230443e+01],
[ 1.43909032e-08, 3.05572802e+00, -1.24648689e-08]])
fopt: 0.7124233252604224
fun: -0.711107424564104
message: 'Optimization terminated successfully.'
nfev: 2015
nit: 23
status: 0
success: True
x: array([ 77.00041914, 172. , 102.00151373])
xopt: array([ 78., 173., 103.])
zopt: array([ 78., 251., 354.])
*******************************************
Period: 42
direc: array([[214.65740516, 0. , 3.13135734],
[ -0. , 0. , 0. ],
[ 0. , 4. , 0. ]])
fopt: 0.3870440960796677
fun: -0.38666937550454394
message: 'Optimization terminated successfully.'
nfev: 714
nit: 8
status: 0
success: True
x: array([278.59950533, 15. , 7.04953767])
xopt: array([278., 15., 8.])
zopt: array([278., 293., 301.])
*******************************************
Period: 43
direc: array([[1.09614453e-02, 5.06367692e-05, 5.06367692e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.20362740e-05, 5.51556899e-08, 1.18629665e-03]])
fopt: 0.3767631602902223
fun: -0.3768370861915684
message: 'Optimization terminated successfully.'
nfev: 425
nit: 4
status: 0
success: True
x: array([217.48218916, 2.00003737, 3.00122525])
xopt: array([217., 2., 4.])
zopt: array([217., 219., 223.])
*******************************************
Period: 44
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.39854974e-04, 7.85558547e-07, -0.00000000e+00]])
fopt: 0.3783115915329381
fun: -0.37902727971759304
message: 'Optimization terminated successfully.'
nfev: 330
nit: 4
status: 0
success: True
x: array([277.97023784, 3.06477267, 2.06107821])
xopt: array([277., 4., 3.])
zopt: array([277., 281., 284.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfof8lffs.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp2pn_68m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.57816
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.03817 1.57816
Optimal solution found (tolerance 1.00e-02)
Best objective 3.038167854809e+00, best bound 3.038167854809e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjz7ivxc7.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz2kofsn8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07703
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.510286e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.5102862 2.51029 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.51029 1.07703
Optimal solution found (tolerance 1.00e-02)
Best objective 2.510286190036e+00, best bound 2.510286190036e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzhavr6rl.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfau19eyi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37899
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.374610e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3746100 2.37461 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.37461 1.37899
Optimal solution found (tolerance 1.00e-02)
Best objective 2.374610019154e+00, best bound 2.374610019154e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv2w931ac.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptp1bkrst.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.73391
Presolve removed 135 rows and 96 columns
Presolve time: 0.00s
Presolved: 56 rows, 46 columns, 192 nonzeros
Variable types: 22 continuous, 24 integer (19 binary)
Root relaxation: objective 1.775794e+00, 32 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77579 0 5 1.73391 1.77579 2.42% - 0s
0 0 cutoff 0 1.73391 1.73391 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 2
Explored 1 nodes (34 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.73391
Optimal solution found (tolerance 1.00e-02)
Best objective 1.733905911901e+00, best bound 1.733905911901e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp50hseek7.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpncgooasm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37813
Presolve removed 160 rows and 112 columns
Presolve time: 0.01s
Presolved: 77 rows, 63 columns, 260 nonzeros
Variable types: 32 continuous, 31 integer (28 binary)
Root relaxation: objective 1.502445e+00, 45 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50244 0 2 1.37813 1.50244 9.02% - 0s
H 0 0 1.4692021 1.50244 2.26% - 0s
0 0 cutoff 0 1.46920 1.46920 0.00% - 0s
Cutting planes:
Flow cover: 2
Explored 1 nodes (56 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.4692 1.37813
Optimal solution found (tolerance 1.00e-02)
Best objective 1.469202097042e+00, best bound 1.469202097042e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvua6azag.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptq41fel3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10802
Presolve removed 157 rows and 107 columns
Presolve time: 0.00s
Presolved: 126 rows, 101 columns, 428 nonzeros
Variable types: 50 continuous, 51 integer (47 binary)
Root relaxation: objective 1.690162e+00, 79 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69016 0 4 1.10802 1.69016 52.5% - 0s
H 0 0 1.4489980 1.69016 16.6% - 0s
0 0 1.52274 0 1 1.44900 1.52274 5.09% - 0s
0 0 1.52271 0 1 1.44900 1.52271 5.09% - 0s
0 0 1.52271 0 1 1.44900 1.52271 5.09% - 0s
0 0 1.52271 0 2 1.44900 1.52271 5.09% - 0s
0 0 1.52271 0 1 1.44900 1.52271 5.09% - 0s
0 0 1.50919 0 1 1.44900 1.50919 4.15% - 0s
0 0 cutoff 0 1.44900 1.44900 0.00% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
Explored 1 nodes (158 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.449 1.10802
Optimal solution found (tolerance 1.00e-02)
Best objective 1.448997966935e+00, best bound 1.448997966935e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpknlt0lzb.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuarj4ni8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18054
Presolve removed 165 rows and 111 columns
Presolve time: 0.00s
Presolved: 164 rows, 130 columns, 561 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 1.680815e+00, 102 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68081 0 8 1.18054 1.68081 42.4% - 0s
H 0 0 1.3211926 1.68081 27.2% - 0s
0 0 1.41739 0 3 1.32119 1.41739 7.28% - 0s
0 0 1.41739 0 3 1.32119 1.41739 7.28% - 0s
0 0 1.41729 0 3 1.32119 1.41729 7.27% - 0s
0 0 1.41729 0 3 1.32119 1.41729 7.27% - 0s
0 0 1.41715 0 2 1.32119 1.41715 7.26% - 0s
0 0 1.41713 0 1 1.32119 1.41713 7.26% - 0s
0 0 1.41708 0 1 1.32119 1.41708 7.26% - 0s
Cutting planes:
Gomory: 1
Flow cover: 1
Explored 1 nodes (207 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32119 1.18054
Optimal solution found (tolerance 1.00e-02)
Best objective 1.321192625326e+00, best bound 1.321192625326e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwvvtu2gx.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpneie87m2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12122
Presolve removed 181 rows and 121 columns
Presolve time: 0.01s
Presolved: 194 rows, 153 columns, 669 nonzeros
Variable types: 77 continuous, 76 integer (71 binary)
Root relaxation: objective 1.532784e+00, 121 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53278 0 12 1.12122 1.53278 36.7% - 0s
H 0 0 1.1764266 1.53278 30.3% - 0s
0 0 1.28886 0 6 1.17643 1.28886 9.56% - 0s
0 0 1.28885 0 6 1.17643 1.28885 9.56% - 0s
0 0 1.28596 0 7 1.17643 1.28596 9.31% - 0s
0 0 1.28542 0 5 1.17643 1.28542 9.26% - 0s
0 0 1.28523 0 5 1.17643 1.28523 9.25% - 0s
0 0 1.28514 0 7 1.17643 1.28514 9.24% - 0s
0 0 1.28488 0 7 1.17643 1.28488 9.22% - 0s
0 0 1.28488 0 7 1.17643 1.28488 9.22% - 0s
0 0 1.28488 0 6 1.17643 1.28488 9.22% - 0s
0 0 1.28474 0 4 1.17643 1.28474 9.21% - 0s
0 0 1.28470 0 5 1.17643 1.28470 9.20% - 0s
0 0 1.28193 0 3 1.17643 1.28193 8.97% - 0s
0 0 1.28193 0 3 1.17643 1.28193 8.97% - 0s
0 0 1.28193 0 4 1.17643 1.28193 8.97% - 0s
0 0 1.27804 0 8 1.17643 1.27804 8.64% - 0s
0 0 1.27543 0 9 1.17643 1.27543 8.42% - 0s
0 0 1.25859 0 9 1.17643 1.25859 6.98% - 0s
0 0 1.25852 0 9 1.17643 1.25852 6.98% - 0s
0 0 1.25795 0 9 1.17643 1.25795 6.93% - 0s
0 0 1.25775 0 9 1.17643 1.25775 6.91% - 0s
0 0 1.25762 0 9 1.17643 1.25762 6.90% - 0s
0 0 1.25761 0 9 1.17643 1.25761 6.90% - 0s
0 0 1.25034 0 9 1.17643 1.25034 6.28% - 0s
0 0 1.24990 0 9 1.17643 1.24990 6.25% - 0s
0 0 1.24898 0 9 1.17643 1.24898 6.17% - 0s
0 0 1.24847 0 9 1.17643 1.24847 6.12% - 0s
0 0 cutoff 0 1.17643 1.17643 0.00% - 0s
Cutting planes:
Gomory: 1
Cover: 1
Implied bound: 3
MIR: 6
Flow cover: 2
Explored 1 nodes (415 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.17643 1.12122
Optimal solution found (tolerance 1.00e-02)
Best objective 1.176426568108e+00, best bound 1.176426568108e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfsfbeksd.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph8c7g1v_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.991547
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.556603e+00, 157 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55660 0 14 0.99155 1.55660 57.0% - 0s
H 0 0 1.1086303 1.55660 40.4% - 0s
0 0 1.32593 0 13 1.10863 1.32593 19.6% - 0s
H 0 0 1.1872815 1.32593 11.7% - 0s
0 0 1.32591 0 16 1.18728 1.32591 11.7% - 0s
0 0 1.32113 0 13 1.18728 1.32113 11.3% - 0s
0 0 1.32023 0 16 1.18728 1.32023 11.2% - 0s
0 0 1.32012 0 16 1.18728 1.32012 11.2% - 0s
0 0 1.32012 0 16 1.18728 1.32012 11.2% - 0s
H 0 0 1.1882284 1.32012 11.1% - 0s
H 0 0 1.1939097 1.32012 10.6% - 0s
0 2 1.32012 0 16 1.19391 1.32012 10.6% - 0s
Cutting planes:
Gomory: 7
Implied bound: 1
MIR: 2
Flow cover: 12
Inf proof: 1
Explored 46 nodes (516 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.19391 1.18823 1.18728 ... 0.991547
Optimal solution found (tolerance 1.00e-02)
Best objective 1.193909656664e+00, best bound 1.193909656664e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6h_i_mg7.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcf5s0vve.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.984021
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.588592e+00, 181 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58859 0 16 0.98402 1.58859 61.4% - 0s
0 0 1.36710 0 20 0.98402 1.36710 38.9% - 0s
H 0 0 1.1488210 1.36710 19.0% - 0s
0 0 1.36457 0 18 1.14882 1.36457 18.8% - 0s
H 0 0 1.1564907 1.36457 18.0% - 0s
0 0 1.36452 0 18 1.15649 1.36452 18.0% - 0s
0 0 1.36390 0 18 1.15649 1.36390 17.9% - 0s
0 0 1.36385 0 18 1.15649 1.36385 17.9% - 0s
0 0 1.36385 0 18 1.15649 1.36385 17.9% - 0s
0 2 1.36385 0 18 1.15649 1.36385 17.9% - 0s
* 134 4 14 1.1803712 1.25880 6.64% 5.8 0s
Cutting planes:
Gomory: 8
Implied bound: 2
MIR: 1
Flow cover: 15
Inf proof: 1
Explored 148 nodes (1135 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.18037 1.15649 1.14882 0.984021
Optimal solution found (tolerance 1.00e-02)
Best objective 1.180371189677e+00, best bound 1.180371189677e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpecvsj01v.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppmp7qag5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00458
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.663144e+00, 182 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66314 0 19 1.00458 1.66314 65.6% - 0s
0 0 1.44541 0 15 1.00458 1.44541 43.9% - 0s
0 0 1.44529 0 15 1.00458 1.44529 43.9% - 0s
0 0 1.44212 0 13 1.00458 1.44212 43.6% - 0s
0 0 1.44208 0 13 1.00458 1.44208 43.6% - 0s
0 0 1.44208 0 13 1.00458 1.44208 43.6% - 0s
H 0 0 1.1805518 1.44208 22.2% - 0s
0 2 1.44208 0 11 1.18055 1.44208 22.2% - 0s
* 205 0 14 1.1843453 1.22125 3.12% 7.0 0s
* 206 0 14 1.2039446 1.22125 1.44% 7.0 0s
* 214 0 16 1.2049195 1.21472 0.81% 6.9 0s
* 215 0 16 1.2147191 1.21472 0.00% 6.8 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 4
Flow cover: 17
Explored 219 nodes (1786 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.21472 1.20492 1.20394 ... 1.00458
Optimal solution found (tolerance 1.00e-02)
Best objective 1.214719141981e+00, best bound 1.214719141981e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn8cz8jwg.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf79a_369.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06539
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.629700e+00, 217 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62970 0 21 1.06539 1.62970 53.0% - 0s
0 0 1.41669 0 15 1.06539 1.41669 33.0% - 0s
0 0 1.41668 0 15 1.06539 1.41668 33.0% - 0s
0 0 1.41606 0 17 1.06539 1.41606 32.9% - 0s
0 0 1.41602 0 17 1.06539 1.41602 32.9% - 0s
0 0 1.41095 0 19 1.06539 1.41095 32.4% - 0s
H 0 0 1.1623998 1.41095 21.4% - 0s
0 0 1.41071 0 22 1.16240 1.41071 21.4% - 0s
0 0 1.41071 0 22 1.16240 1.41071 21.4% - 0s
0 0 1.41058 0 22 1.16240 1.41058 21.4% - 0s
0 0 1.41058 0 22 1.16240 1.41058 21.4% - 0s
0 2 1.41058 0 22 1.16240 1.41058 21.4% - 0s
* 50 19 18 1.1728522 1.26488 7.85% 10.0 0s
Cutting planes:
Gomory: 7
Implied bound: 6
Flow cover: 27
Explored 129 nodes (1505 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.17285 1.1624 1.06539
Optimal solution found (tolerance 1.00e-02)
Best objective 1.172852200392e+00, best bound 1.172852200392e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpro2bvjg6.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo98rdizh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04902
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.614009e+00, 240 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61401 0 24 1.04902 1.61401 53.9% - 0s
0 0 1.40667 0 22 1.04902 1.40667 34.1% - 0s
0 0 1.40657 0 22 1.04902 1.40657 34.1% - 0s
0 0 1.40336 0 25 1.04902 1.40336 33.8% - 0s
0 0 1.40336 0 25 1.04902 1.40336 33.8% - 0s
0 0 1.39885 0 26 1.04902 1.39885 33.3% - 0s
0 0 1.39885 0 28 1.04902 1.39885 33.3% - 0s
0 0 1.39885 0 28 1.04902 1.39885 33.3% - 0s
0 0 1.39885 0 24 1.04902 1.39885 33.3% - 0s
0 0 1.39885 0 24 1.04902 1.39885 33.3% - 0s
0 2 1.39885 0 24 1.04902 1.39885 33.3% - 0s
* 138 30 23 1.1618041 1.26648 9.01% 7.7 0s
Cutting planes:
Gomory: 13
Cover: 2
Implied bound: 10
Flow cover: 21
Explored 213 nodes (1964 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.1618 1.04902
Optimal solution found (tolerance 1.00e-02)
Best objective 1.161804134457e+00, best bound 1.161804134457e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0hxjq30o.pyomo.lp
Reading time = 0.01 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppbf_ywbn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0206
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.615702e+00, 262 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61570 0 27 1.02060 1.61570 58.3% - 0s
0 0 1.39271 0 31 1.02060 1.39271 36.5% - 0s
H 0 0 1.0649421 1.39271 30.8% - 0s
0 0 1.39270 0 31 1.06494 1.39270 30.8% - 0s
0 0 1.39135 0 32 1.06494 1.39135 30.6% - 0s
0 0 1.39132 0 32 1.06494 1.39132 30.6% - 0s
0 0 1.38712 0 31 1.06494 1.38712 30.3% - 0s
0 0 1.38710 0 31 1.06494 1.38710 30.3% - 0s
0 0 1.38665 0 31 1.06494 1.38665 30.2% - 0s
0 0 1.38665 0 32 1.06494 1.38665 30.2% - 0s
0 0 1.38665 0 30 1.06494 1.38665 30.2% - 0s
0 2 1.38665 0 30 1.06494 1.38665 30.2% - 0s
* 276 91 29 1.1058225 1.19213 7.81% 7.9 0s
* 381 94 31 1.1099725 1.19088 7.29% 7.0 0s
* 713 29 31 1.1157004 1.13733 1.94% 6.3 0s
* 772 1 33 1.1227652 1.13317 0.93% 6.2 0s
* 783 1 28 1.1229977 1.13317 0.91% 6.1 0s
* 784 0 28 1.1274457 1.13317 0.51% 6.1 0s
Cutting planes:
Gomory: 16
Implied bound: 8
Flow cover: 25
Inf proof: 7
Explored 809 nodes (5358 simplex iterations) in 0.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.12745 1.123 1.12277 ... 1.0206
Optimal solution found (tolerance 1.00e-02)
Best objective 1.127445665930e+00, best bound 1.133173594089e+00, gap 0.5080%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw0e0mczn.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxbf5fo3v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00743
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.631736e+00, 302 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63174 0 30 1.00743 1.63174 62.0% - 0s
0 0 1.39608 0 32 1.00743 1.39608 38.6% - 0s
H 0 0 1.0969497 1.39608 27.3% - 0s
0 0 1.39600 0 32 1.09695 1.39600 27.3% - 0s
0 0 1.39287 0 35 1.09695 1.39287 27.0% - 0s
H 0 0 1.0984017 1.39287 26.8% - 0s
0 0 1.39278 0 34 1.09840 1.39278 26.8% - 0s
0 0 1.38889 0 33 1.09840 1.38889 26.4% - 0s
0 0 1.38868 0 37 1.09840 1.38868 26.4% - 0s
0 0 1.38868 0 37 1.09840 1.38868 26.4% - 0s
0 0 1.38868 0 35 1.09840 1.38868 26.4% - 0s
0 0 1.38868 0 35 1.09840 1.38868 26.4% - 0s
0 2 1.38868 0 35 1.09840 1.38868 26.4% - 0s
* 1041 52 32 1.1478964 1.16820 1.77% 7.4 0s
Cutting planes:
Gomory: 18
Cover: 9
Implied bound: 23
Flow cover: 30
Inf proof: 13
Explored 1220 nodes (9152 simplex iterations) in 0.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.1479 1.0984 1.09695 1.00743
Optimal solution found (tolerance 1.00e-02)
Best objective 1.147896360783e+00, best bound 1.154911110869e+00, gap 0.6111%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoj4hqodu.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp18dxrmy7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03256
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.622087e+00, 338 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62209 0 33 1.03256 1.62209 57.1% - 0s
0 0 1.38454 0 37 1.03256 1.38454 34.1% - 0s
0 0 1.38454 0 37 1.03256 1.38454 34.1% - 0s
0 0 1.38361 0 41 1.03256 1.38361 34.0% - 0s
0 0 1.38361 0 39 1.03256 1.38361 34.0% - 0s
0 2 1.38361 0 37 1.03256 1.38361 34.0% - 0s
* 1592 504 44 1.0377563 1.16387 12.2% 9.1 0s
* 1594 500 44 1.0406656 1.16387 11.8% 9.1 0s
* 1766 151 39 1.1277346 1.15758 2.65% 8.9 1s
Cutting planes:
Gomory: 23
Cover: 11
Implied bound: 30
MIR: 1
Flow cover: 24
Inf proof: 21
Explored 1972 nodes (18182 simplex iterations) in 1.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.12773 1.04067 1.03776 1.03256
Optimal solution found (tolerance 1.00e-02)
Best objective 1.127734645011e+00, best bound 1.134538209037e+00, gap 0.6033%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyfrpu952.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2xg6r78h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02587
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.608577e+00, 346 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60858 0 36 1.02587 1.60858 56.8% - 0s
0 0 1.36979 0 34 1.02587 1.36979 33.5% - 0s
0 0 1.36973 0 34 1.02587 1.36973 33.5% - 0s
0 0 1.36720 0 42 1.02587 1.36720 33.3% - 0s
0 0 1.36690 0 36 1.02587 1.36690 33.2% - 0s
0 0 1.36347 0 38 1.02587 1.36347 32.9% - 0s
0 0 1.36340 0 38 1.02587 1.36340 32.9% - 0s
0 0 1.36340 0 36 1.02587 1.36340 32.9% - 0s
0 2 1.36340 0 36 1.02587 1.36340 32.9% - 0s
* 511 238 47 1.0407743 1.18034 13.4% 7.6 0s
* 1384 81 40 1.1124100 1.13906 2.40% 8.0 0s
Cutting planes:
Gomory: 24
Cover: 13
Implied bound: 24
Flow cover: 30
Inf proof: 21
Explored 1521 nodes (12881 simplex iterations) in 0.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.11241 1.04077 1.02587
Optimal solution found (tolerance 1.00e-02)
Best objective 1.112410001043e+00, best bound 1.121157815230e+00, gap 0.7864%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsb7rhdh4.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq18qskiv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0173
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.576679e+00, 360 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57668 0 41 1.01730 1.57668 55.0% - 0s
0 0 1.33124 0 32 1.01730 1.33124 30.9% - 0s
0 0 1.33124 0 32 1.01730 1.33124 30.9% - 0s
0 0 1.33074 0 37 1.01730 1.33074 30.8% - 0s
0 0 1.33074 0 32 1.01730 1.33074 30.8% - 0s
0 2 1.33074 0 32 1.01730 1.33074 30.8% - 0s
* 2230 292 55 1.0843674 1.10029 1.47% 10.3 2s
Cutting planes:
Gomory: 37
Cover: 3
Implied bound: 6
Projected implied bound: 18
MIR: 2
Flow cover: 18
Inf proof: 12
Explored 2374 nodes (24676 simplex iterations) in 2.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.08437 1.0173
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084367382531e+00, best bound 1.092678886807e+00, gap 0.7665%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw0eej2rp.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxu7b4b_b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.993582
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.566189e+00, 411 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56619 0 44 0.99358 1.56619 57.6% - 0s
0 0 1.31704 0 43 0.99358 1.31704 32.6% - 0s
0 0 1.31698 0 43 0.99358 1.31698 32.5% - 0s
0 0 1.31427 0 48 0.99358 1.31427 32.3% - 0s
0 0 1.31397 0 46 0.99358 1.31397 32.2% - 0s
0 0 1.31387 0 44 0.99358 1.31387 32.2% - 0s
0 0 1.31079 0 45 0.99358 1.31079 31.9% - 0s
0 0 1.31077 0 48 0.99358 1.31077 31.9% - 0s
0 0 1.31077 0 42 0.99358 1.31077 31.9% - 0s
0 2 1.31077 0 42 0.99358 1.31077 31.9% - 0s
* 1081 219 51 1.0712840 1.11933 4.48% 8.8 0s
Cutting planes:
Gomory: 29
Cover: 3
Implied bound: 24
Flow cover: 32
Inf proof: 12
Explored 1637 nodes (14312 simplex iterations) in 1.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.07128 0.993582
Optimal solution found (tolerance 1.00e-02)
Best objective 1.071284023870e+00, best bound 1.081748041167e+00, gap 0.9768%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp20ehi_bp.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfg4slukk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99741
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.508375e+00, 413 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50838 0 45 0.99741 1.50838 51.2% - 0s
0 0 1.25323 0 48 0.99741 1.25323 25.6% - 0s
0 0 1.25318 0 48 0.99741 1.25318 25.6% - 0s
0 0 1.25099 0 54 0.99741 1.25099 25.4% - 0s
0 0 1.25068 0 49 0.99741 1.25068 25.4% - 0s
0 0 1.24773 0 48 0.99741 1.24773 25.1% - 0s
0 0 1.24756 0 51 0.99741 1.24756 25.1% - 0s
0 0 1.24756 0 44 0.99741 1.24756 25.1% - 0s
0 2 1.24756 0 44 0.99741 1.24756 25.1% - 0s
* 1552 217 54 0.9997892 1.03221 3.24% 10.0 1s
* 1595 71 50 1.0214942 1.03221 1.05% 9.9 1s
Cutting planes:
Gomory: 34
Cover: 12
Implied bound: 31
MIR: 4
Flow cover: 35
Inf proof: 15
Explored 1647 nodes (16939 simplex iterations) in 1.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.02149 0.999789 0.99741
Optimal solution found (tolerance 1.00e-02)
Best objective 1.021494243262e+00, best bound 1.031370037284e+00, gap 0.9668%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptfiec4az.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwat_p88a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939151
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.491622e+00, 445 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49162 0 52 0.93915 1.49162 58.8% - 0s
0 0 1.22228 0 55 0.93915 1.22228 30.1% - 0s
0 0 1.22224 0 55 0.93915 1.22224 30.1% - 0s
0 0 1.22000 0 60 0.93915 1.22000 29.9% - 0s
0 0 1.21995 0 58 0.93915 1.21995 29.9% - 0s
0 0 1.21974 0 57 0.93915 1.21974 29.9% - 0s
0 0 1.21974 0 42 0.93915 1.21974 29.9% - 0s
0 2 1.21974 0 42 0.93915 1.21974 29.9% - 0s
* 2925 305 69 0.9923389 1.04496 5.30% 11.6 4s
* 3446 179 56 0.9958186 1.01815 2.24% 11.2 4s
H 3686 116 0.9976788 1.01158 1.39% 11.0 4s
Cutting planes:
Gomory: 41
Cover: 3
Implied bound: 7
Projected implied bound: 11
Clique: 1
MIR: 4
Flow cover: 26
Inf proof: 27
Explored 3878 nodes (42956 simplex iterations) in 4.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.997679 0.995819 0.992339 0.939151
Optimal solution found (tolerance 1.00e-02)
Best objective 9.976787548034e-01, best bound 1.006441678819e+00, gap 0.8783%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp87ftrkfg.pyomo.lp
Reading time = 0.00 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxbn0dmgs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.988954
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.463534e+00, 456 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46353 0 57 0.98895 1.46353 48.0% - 0s
0 0 1.21691 0 56 0.98895 1.21691 23.0% - 0s
0 0 1.21686 0 56 0.98895 1.21686 23.0% - 0s
0 0 1.21488 0 65 0.98895 1.21488 22.8% - 0s
0 0 1.21465 0 58 0.98895 1.21465 22.8% - 0s
0 0 1.21396 0 63 0.98895 1.21396 22.8% - 0s
0 0 1.21396 0 52 0.98895 1.21396 22.8% - 0s
0 2 1.21396 0 52 0.98895 1.21396 22.8% - 0s
* 2695 442 64 0.9977006 1.03168 3.41% 10.4 2s
3917 411 1.03018 29 52 0.99770 1.03018 3.26% 12.4 5s
Cutting planes:
Gomory: 59
Cover: 6
Implied bound: 5
Projected implied bound: 16
MIR: 9
Flow cover: 44
Inf proof: 21
Explored 4937 nodes (64249 simplex iterations) in 6.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.997701 0.988954
Optimal solution found (tolerance 1.00e-02)
Best objective 9.977005606156e-01, best bound 1.005548040581e+00, gap 0.7866%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxloafzey.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyak8sf3u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00234
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.442103e+00, 529 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44210 0 60 1.00234 1.44210 43.9% - 0s
0 0 1.22631 0 58 1.00234 1.22631 22.3% - 0s
0 0 1.22631 0 58 1.00234 1.22631 22.3% - 0s
0 0 1.22540 0 64 1.00234 1.22540 22.3% - 0s
0 0 1.22540 0 57 1.00234 1.22540 22.3% - 0s
0 2 1.22540 0 57 1.00234 1.22540 22.3% - 0s
* 1005 371 75 1.0051082 1.09485 8.93% 16.6 1s
2848 374 1.01233 63 33 1.00511 1.04010 3.48% 16.6 5s
Cutting planes:
Gomory: 46
Cover: 6
Implied bound: 9
Projected implied bound: 23
MIR: 8
Flow cover: 38
Inf proof: 18
Explored 4186 nodes (58566 simplex iterations) in 6.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.00511 1.00234
Optimal solution found (tolerance 1.00e-02)
Best objective 1.005108212682e+00, best bound 1.014707687495e+00, gap 0.9551%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphe_ylg5m.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0_pmlzi7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.996606
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.426105e+00, 521 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42611 0 62 0.99661 1.42611 43.1% - 0s
0 0 1.19787 0 64 0.99661 1.19787 20.2% - 0s
0 0 1.19787 0 64 0.99661 1.19787 20.2% - 0s
0 0 1.19450 0 70 0.99661 1.19450 19.9% - 0s
0 0 1.19440 0 70 0.99661 1.19440 19.8% - 0s
0 0 1.19341 0 66 0.99661 1.19341 19.7% - 0s
0 0 1.19341 0 54 0.99661 1.19341 19.7% - 0s
0 2 1.19341 0 54 0.99661 1.19341 19.7% - 0s
H 4232 380 0.9978849 1.01472 1.69% 14.7 4s
5182 375 infeasible 40 0.99788 1.00920 1.13% 13.3 5s
Cutting planes:
Gomory: 42
Cover: 16
Implied bound: 35
MIR: 4
Flow cover: 44
Inf proof: 37
Explored 5390 nodes (71309 simplex iterations) in 5.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.997885 0.996606
Optimal solution found (tolerance 1.00e-02)
Best objective 9.978848572593e-01, best bound 1.006939940154e+00, gap 0.9074%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk59tinxc.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa3kr3zxq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x1194_ by 0.999999986
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Found heuristic solution: objective -0.0856028
Root relaxation: objective 1.408396e+00, 535 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40840 0 67 -0.08560 1.40840 1745% - 0s
Another try with MIP start
H 0 0 0.9889040 1.40840 42.4% - 0s
0 0 1.17666 0 69 0.98890 1.17666 19.0% - 0s
0 0 1.17665 0 69 0.98890 1.17665 19.0% - 0s
0 0 1.17532 0 77 0.98890 1.17532 18.9% - 0s
0 0 1.17532 0 65 0.98890 1.17532 18.9% - 0s
0 2 1.17532 0 65 0.98890 1.17532 18.9% - 0s
Cutting planes:
Gomory: 43
Cover: 12
Implied bound: 34
MIR: 1
Flow cover: 43
Inf proof: 41
Explored 5839 nodes (59796 simplex iterations) in 4.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.988904 -0.0856028
Optimal solution found (tolerance 1.00e-02)
Best objective 9.889040097192e-01, best bound 9.987837385941e-01, gap 0.9991%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbaud3csy.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4lce8ozz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.953165
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.353965e+00, 582 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35397 0 66 0.95317 1.35397 42.0% - 0s
0 0 1.13422 0 70 0.95317 1.13422 19.0% - 0s
0 0 1.13403 0 70 0.95317 1.13403 19.0% - 0s
0 0 1.13328 0 75 0.95317 1.13328 18.9% - 0s
0 0 1.13328 0 65 0.95317 1.13328 18.9% - 0s
0 2 1.13328 0 65 0.95317 1.13328 18.9% - 0s
Cutting planes:
Gomory: 45
Cover: 10
Implied bound: 44
MIR: 6
Flow cover: 43
Inf proof: 31
Explored 3717 nodes (50650 simplex iterations) in 3.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.953165
Optimal solution found (tolerance 1.00e-02)
Best objective 9.531653997673e-01, best bound 9.623555029753e-01, gap 0.9642%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1jctpgcu.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmuwia0j3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.948564
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.348117e+00, 609 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34812 0 72 0.94856 1.34812 42.1% - 0s
0 0 1.27828 0 78 0.94856 1.27828 34.8% - 0s
0 0 1.27824 0 78 0.94856 1.27824 34.8% - 0s
0 0 1.25087 0 83 0.94856 1.25087 31.9% - 0s
0 0 1.25087 0 83 0.94856 1.25087 31.9% - 0s
0 0 1.25008 0 87 0.94856 1.25008 31.8% - 0s
0 0 1.25008 0 87 0.94856 1.25008 31.8% - 0s
0 0 1.25006 0 91 0.94856 1.25006 31.8% - 0s
0 0 1.25006 0 90 0.94856 1.25006 31.8% - 0s
0 0 1.25006 0 90 0.94856 1.25006 31.8% - 0s
0 0 1.25006 0 79 0.94856 1.25006 31.8% - 0s
0 2 1.25006 0 79 0.94856 1.25006 31.8% - 0s
* 1320 320 97 0.9499462 1.00954 6.27% 15.9 3s
3126 671 0.96158 70 40 0.94995 0.97745 2.90% 12.3 5s
Cutting planes:
Gomory: 59
Implied bound: 5
Projected implied bound: 27
MIR: 6
Flow cover: 38
Inf proof: 21
Explored 6511 nodes (76538 simplex iterations) in 8.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.949946 0.948564
Optimal solution found (tolerance 1.00e-02)
Best objective 9.499462377445e-01, best bound 9.582286577350e-01, gap 0.8719%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9i8b7b91.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzwfndjq5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.946548
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.338565e+00, 629 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33857 0 73 0.94655 1.33857 41.4% - 0s
0 0 1.15328 0 71 0.94655 1.15328 21.8% - 0s
0 0 1.15312 0 71 0.94655 1.15312 21.8% - 0s
0 0 1.15128 0 82 0.94655 1.15128 21.6% - 0s
0 0 1.15079 0 85 0.94655 1.15079 21.6% - 0s
0 0 1.15079 0 70 0.94655 1.15079 21.6% - 0s
0 2 1.15079 0 70 0.94655 1.15079 21.6% - 0s
2530 335 0.96589 24 69 0.94655 1.00385 6.05% 20.6 5s
Cutting planes:
Gomory: 71
Implied bound: 8
Projected implied bound: 38
MIR: 7
Flow cover: 42
Inf proof: 20
Explored 4230 nodes (77115 simplex iterations) in 7.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.946548
Optimal solution found (tolerance 1.00e-02)
Best objective 9.465483043808e-01, best bound 9.522816303303e-01, gap 0.6057%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp20w11k3u.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1vbxk4_8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923615
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.297674e+00, 660 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29767 0 71 0.92362 1.29767 40.5% - 0s
0 0 1.12433 0 76 0.92362 1.12433 21.7% - 0s
0 0 1.12417 0 76 0.92362 1.12417 21.7% - 0s
0 0 1.12246 0 85 0.92362 1.12246 21.5% - 0s
0 0 1.12245 0 84 0.92362 1.12245 21.5% - 0s
0 0 1.12130 0 88 0.92362 1.12130 21.4% - 0s
0 0 1.12130 0 75 0.92362 1.12130 21.4% - 0s
0 2 1.12130 0 75 0.92362 1.12130 21.4% - 0s
2447 415 0.93349 32 84 0.92362 1.00048 8.32% 21.3 5s
Cutting planes:
Gomory: 76
Cover: 2
Implied bound: 4
Projected implied bound: 29
MIR: 8
Flow cover: 41
Inf proof: 21
Explored 5093 nodes (97406 simplex iterations) in 8.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.923615
Optimal solution found (tolerance 1.00e-02)
Best objective 9.236150788347e-01, best bound 9.323408219317e-01, gap 0.9447%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9zluslvp.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx0wr2l06.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.928574
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.289462e+00, 731 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28946 0 76 0.92857 1.28946 38.9% - 0s
0 0 1.12666 0 79 0.92857 1.12666 21.3% - 0s
0 0 1.12650 0 79 0.92857 1.12650 21.3% - 0s
0 0 1.12430 0 86 0.92857 1.12430 21.1% - 0s
0 0 1.12430 0 86 0.92857 1.12430 21.1% - 0s
0 0 1.12307 0 87 0.92857 1.12307 20.9% - 0s
0 0 1.12306 0 85 0.92857 1.12306 20.9% - 0s
0 0 1.12299 0 85 0.92857 1.12299 20.9% - 0s
0 0 1.12299 0 76 0.92857 1.12299 20.9% - 0s
0 2 1.12299 0 76 0.92857 1.12299 20.9% - 0s
2080 537 0.97496 29 82 0.92857 1.00884 8.64% 18.2 5s
4858 634 0.95626 32 91 0.92857 0.96986 4.45% 22.5 10s
9213 964 0.93331 61 52 0.92857 0.94450 1.71% 18.3 15s
H10140 1009 0.9285739 0.94233 1.48% 17.7 16s
Cutting planes:
Gomory: 74
Cover: 2
Implied bound: 11
Projected implied bound: 34
MIR: 7
Flow cover: 43
Inf proof: 68
Explored 11817 nodes (201422 simplex iterations) in 18.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.928574 0.928574
Optimal solution found (tolerance 1.00e-02)
Best objective 9.285739237674e-01, best bound 9.376681737570e-01, gap 0.9794%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4ra22qcc.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_nzsnk6w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929187
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.277891e+00, 750 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27789 0 80 0.92919 1.27789 37.5% - 0s
0 0 1.13245 0 80 0.92919 1.13245 21.9% - 0s
0 0 1.13230 0 80 0.92919 1.13230 21.9% - 0s
0 0 1.13041 0 90 0.92919 1.13041 21.7% - 0s
0 0 1.12910 0 91 0.92919 1.12910 21.5% - 0s
0 0 1.12909 0 91 0.92919 1.12909 21.5% - 0s
0 0 1.12900 0 91 0.92919 1.12900 21.5% - 0s
0 0 1.12900 0 85 0.92919 1.12900 21.5% - 0s
0 2 1.12900 0 84 0.92919 1.12900 21.5% - 0s
1973 355 0.99579 34 83 0.92919 0.99646 7.24% 19.1 5s
6549 971 0.93594 88 40 0.92919 0.94619 1.83% 15.4 10s
Cutting planes:
Gomory: 83
Cover: 3
Implied bound: 14
Projected implied bound: 34
MIR: 10
Flow cover: 49
Inf proof: 52
Explored 9396 nodes (139902 simplex iterations) in 12.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.929187
Optimal solution found (tolerance 1.00e-02)
Best objective 9.291872589417e-01, best bound 9.382537294854e-01, gap 0.9757%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbrb4_lxl.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj7l5f38i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929086
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.259853e+00, 687 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25985 0 82 0.92909 1.25985 35.6% - 0s
0 0 1.13140 0 85 0.92909 1.13140 21.8% - 0s
0 0 1.13140 0 85 0.92909 1.13140 21.8% - 0s
0 0 1.12746 0 94 0.92909 1.12746 21.4% - 0s
0 0 1.12746 0 93 0.92909 1.12746 21.4% - 0s
0 0 1.12730 0 96 0.92909 1.12730 21.3% - 0s
0 0 1.12730 0 87 0.92909 1.12730 21.3% - 0s
0 2 1.12730 0 86 0.92909 1.12730 21.3% - 0s
1940 505 cutoff 36 0.92909 1.02175 10.0% 18.2 5s
6730 666 0.93677 50 58 0.92909 0.94000 1.18% 15.7 10s
Cutting planes:
Gomory: 77
Implied bound: 10
Projected implied bound: 39
MIR: 6
Flow cover: 47
Inf proof: 37
Explored 7353 nodes (113629 simplex iterations) in 10.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.929086
Optimal solution found (tolerance 1.00e-02)
Best objective 9.290861314912e-01, best bound 9.377108014463e-01, gap 0.9283%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps0fyghau.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc4upo5_5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.910499
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.229581e+00, 723 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22958 0 82 0.91050 1.22958 35.0% - 0s
0 0 1.11143 0 88 0.91050 1.11143 22.1% - 0s
0 0 1.11125 0 88 0.91050 1.11125 22.0% - 0s
0 0 1.10543 0 97 0.91050 1.10543 21.4% - 0s
0 0 1.10543 0 97 0.91050 1.10543 21.4% - 0s
0 0 1.10508 0 95 0.91050 1.10508 21.4% - 0s
0 0 1.10508 0 85 0.91050 1.10508 21.4% - 0s
0 2 1.10508 0 85 0.91050 1.10508 21.4% - 0s
1732 470 0.93168 36 78 0.91050 0.98805 8.52% 19.1 5s
H 3553 519 0.9104986 0.93695 2.90% 20.4 8s
4244 520 0.92051 76 54 0.91050 0.92807 1.93% 19.3 10s
Cutting planes:
Gomory: 88
Cover: 3
Implied bound: 9
Projected implied bound: 35
MIR: 8
Flow cover: 53
Inf proof: 48
Explored 7088 nodes (127503 simplex iterations) in 13.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.910499 0.910499
Optimal solution found (tolerance 1.00e-02)
Best objective 9.104985986178e-01, best bound 9.190896881439e-01, gap 0.9436%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps_v1144o.pyomo.lp
Reading time = 0.00 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4vxbrt6j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.892183
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.192562e+00, 792 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19256 0 85 0.89218 1.19256 33.7% - 0s
0 0 1.09168 0 86 0.89218 1.09168 22.4% - 0s
0 0 1.09154 0 85 0.89218 1.09154 22.3% - 0s
0 0 1.08836 0 94 0.89218 1.08836 22.0% - 0s
0 0 1.08819 0 95 0.89218 1.08819 22.0% - 0s
0 0 1.08711 0 101 0.89218 1.08711 21.8% - 0s
0 0 1.08710 0 101 0.89218 1.08710 21.8% - 0s
0 0 1.08692 0 97 0.89218 1.08692 21.8% - 0s
0 0 1.08692 0 92 0.89218 1.08692 21.8% - 0s
0 2 1.08692 0 92 0.89218 1.08692 21.8% - 0s
1522 570 0.91999 26 93 0.89218 0.99856 11.9% 22.3 5s
3742 614 0.92462 40 90 0.89218 0.94853 6.32% 26.2 10s
6651 558 cutoff 85 0.89218 0.90820 1.80% 23.5 15s
Cutting planes:
Gomory: 91
Cover: 7
Implied bound: 17
Projected implied bound: 41
MIR: 6
Flow cover: 61
Inf proof: 62
Explored 9139 nodes (184754 simplex iterations) in 17.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.892183
Optimal solution found (tolerance 1.00e-02)
Best objective 8.921834376821e-01, best bound 8.990577077149e-01, gap 0.7705%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptvyo4c6t.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc78vzic1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.889039
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.178542e+00, 795 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17854 0 87 0.88904 1.17854 32.6% - 0s
0 0 1.13683 0 93 0.88904 1.13683 27.9% - 0s
0 0 1.13683 0 93 0.88904 1.13683 27.9% - 0s
0 0 1.12424 0 101 0.88904 1.12424 26.5% - 0s
0 0 1.12406 0 104 0.88904 1.12406 26.4% - 0s
0 0 1.12404 0 106 0.88904 1.12404 26.4% - 0s
0 0 1.12397 0 103 0.88904 1.12397 26.4% - 0s
0 0 1.12397 0 90 0.88904 1.12397 26.4% - 0s
0 2 1.12397 0 89 0.88904 1.12397 26.4% - 0s
1362 469 0.92814 26 85 0.88904 0.99809 12.3% 21.6 5s
4309 347 0.90981 42 69 0.88904 0.91001 2.36% 21.1 10s
9205 1712 0.89955 79 41 0.88904 0.90176 1.43% 16.6 15s
12795 1864 cutoff 70 0.88904 0.89816 1.03% 16.4 20s
Cutting planes:
Gomory: 80
Cover: 2
Implied bound: 15
Projected implied bound: 45
MIR: 6
Flow cover: 68
Inf proof: 60
Explored 13605 nodes (225091 simplex iterations) in 20.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.889039
Optimal solution found (tolerance 1.00e-02)
Best objective 8.890389179008e-01, best bound 8.976121267575e-01, gap 0.9643%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp60aye9he.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7tvicirj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.885885
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.163117e+00, 793 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16312 0 90 0.88588 1.16312 31.3% - 0s
0 0 1.07783 0 86 0.88588 1.07783 21.7% - 0s
0 0 1.07774 0 86 0.88588 1.07774 21.7% - 0s
0 0 1.07339 0 97 0.88588 1.07339 21.2% - 0s
0 0 1.07323 0 98 0.88588 1.07323 21.1% - 0s
0 0 1.07318 0 101 0.88588 1.07318 21.1% - 0s
0 0 1.07317 0 101 0.88588 1.07317 21.1% - 0s
0 0 1.07317 0 102 0.88588 1.07317 21.1% - 0s
0 0 1.07317 0 98 0.88588 1.07317 21.1% - 0s
0 2 1.07317 0 98 0.88588 1.07317 21.1% - 0s
1472 479 cutoff 26 0.88588 0.99782 12.6% 23.7 5s
3589 535 infeasible 22 0.88588 0.95045 7.29% 28.0 10s
7561 574 0.89003 59 71 0.88588 0.89861 1.44% 22.6 15s
Cutting planes:
Gomory: 89
Cover: 1
Implied bound: 13
Projected implied bound: 47
MIR: 8
Flow cover: 56
Inf proof: 62
Explored 8875 nodes (189191 simplex iterations) in 16.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.885885
Optimal solution found (tolerance 1.00e-02)
Best objective 8.858846880132e-01, best bound 8.936957867735e-01, gap 0.8817%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe35c2er6.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3uojnu7w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.869559
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.130708e+00, 814 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13071 0 91 0.86956 1.13071 30.0% - 0s
0 0 1.05374 0 87 0.86956 1.05374 21.2% - 0s
0 0 1.05374 0 87 0.86956 1.05374 21.2% - 0s
0 0 1.04966 0 99 0.86956 1.04966 20.7% - 0s
0 0 1.04941 0 97 0.86956 1.04941 20.7% - 0s
0 0 1.04936 0 100 0.86956 1.04936 20.7% - 0s
0 0 1.04930 0 100 0.86956 1.04930 20.7% - 0s
0 0 1.04880 0 100 0.86956 1.04880 20.6% - 0s
0 0 1.04880 0 100 0.86956 1.04880 20.6% - 0s
0 0 1.04880 0 94 0.86956 1.04880 20.6% - 0s
0 2 1.04880 0 94 0.86956 1.04880 20.6% - 0s
1692 495 0.87602 41 86 0.86956 0.96226 10.7% 23.4 5s
3756 494 0.89209 30 88 0.86956 0.90668 4.27% 26.4 10s
7880 841 0.87253 32 96 0.86956 0.87983 1.18% 20.7 15s
Cutting planes:
Gomory: 84
Cover: 1
Implied bound: 14
Projected implied bound: 41
Clique: 1
MIR: 7
Flow cover: 36
Inf proof: 51
Explored 8663 nodes (173123 simplex iterations) in 15.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.869559
Optimal solution found (tolerance 1.00e-02)
Best objective 8.695589126871e-01, best bound 8.777497697355e-01, gap 0.9420%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnucdckzb.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd67440y9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.848239
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.100748e+00, 863 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10075 0 92 0.84824 1.10075 29.8% - 0s
0 0 1.02666 0 98 0.84824 1.02666 21.0% - 0s
0 0 1.02666 0 98 0.84824 1.02666 21.0% - 0s
0 0 1.02269 0 109 0.84824 1.02269 20.6% - 0s
0 0 1.02262 0 107 0.84824 1.02262 20.6% - 0s
0 0 1.02244 0 107 0.84824 1.02244 20.5% - 0s
0 0 1.02210 0 106 0.84824 1.02210 20.5% - 0s
0 0 1.02155 0 111 0.84824 1.02155 20.4% - 0s
0 0 1.02155 0 111 0.84824 1.02155 20.4% - 0s
0 0 1.02150 0 112 0.84824 1.02150 20.4% - 0s
0 0 1.02148 0 110 0.84824 1.02148 20.4% - 0s
0 0 1.02145 0 112 0.84824 1.02145 20.4% - 0s
0 0 1.02145 0 98 0.84824 1.02145 20.4% - 0s
0 2 1.02145 0 98 0.84824 1.02145 20.4% - 0s
1178 575 0.92614 20 108 0.84824 0.94614 11.5% 22.7 5s
3658 558 0.87855 32 96 0.84824 0.88956 4.87% 27.7 10s
6471 752 infeasible 87 0.84824 0.86667 2.17% 24.3 15s
10857 1388 0.85284 79 72 0.84824 0.85815 1.17% 20.6 20s
Cutting planes:
Gomory: 84
Cover: 2
Implied bound: 12
Projected implied bound: 29
MIR: 3
Flow cover: 49
Inf proof: 77
Explored 12092 nodes (244869 simplex iterations) in 21.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.848239
Optimal solution found (tolerance 1.00e-02)
Best objective 8.482387052328e-01, best bound 8.564540847989e-01, gap 0.9685%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1sz2ou9c.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0z4c8u4h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.837571
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.079195e+00, 907 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07920 0 96 0.83757 1.07920 28.8% - 0s
0 0 1.04026 0 110 0.83757 1.04026 24.2% - 0s
0 0 1.04023 0 110 0.83757 1.04023 24.2% - 0s
0 0 1.02983 0 113 0.83757 1.02983 23.0% - 0s
0 0 1.02962 0 114 0.83757 1.02962 22.9% - 0s
0 0 1.02960 0 118 0.83757 1.02960 22.9% - 0s
0 0 1.02897 0 117 0.83757 1.02897 22.9% - 0s
0 0 1.02681 0 119 0.83757 1.02681 22.6% - 0s
0 0 1.02666 0 119 0.83757 1.02666 22.6% - 0s
0 0 1.02666 0 119 0.83757 1.02666 22.6% - 0s
0 0 1.02666 0 119 0.83757 1.02666 22.6% - 0s
0 0 1.02666 0 100 0.83757 1.02666 22.6% - 0s
0 2 1.02666 0 100 0.83757 1.02666 22.6% - 0s
1327 517 infeasible 19 0.83757 0.94497 12.8% 23.8 5s
H 2808 470 0.8375708 0.90504 8.06% 26.6 8s
3352 556 0.87637 33 96 0.83757 0.89658 7.04% 26.3 10s
5421 739 0.85550 49 75 0.83757 0.86727 3.55% 26.4 15s
8717 747 cutoff 36 0.83757 0.84957 1.43% 23.5 20s
Cutting planes:
Gomory: 93
Cover: 2
Implied bound: 13
Projected implied bound: 47
MIR: 5
Flow cover: 53
Inf proof: 70
Explored 9922 nodes (226498 simplex iterations) in 21.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.837571 0.837571
Optimal solution found (tolerance 1.00e-02)
Best objective 8.375708283541e-01, best bound 8.458630694677e-01, gap 0.9900%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2_povgsx.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppsopfdfn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829426
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.059418e+00, 935 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05942 0 95 0.82943 1.05942 27.7% - 0s
0 0 1.02294 0 106 0.82943 1.02294 23.3% - 0s
0 0 1.02291 0 106 0.82943 1.02291 23.3% - 0s
0 0 1.01373 0 108 0.82943 1.01373 22.2% - 0s
0 0 1.01359 0 108 0.82943 1.01359 22.2% - 0s
0 0 1.01358 0 109 0.82943 1.01358 22.2% - 0s
0 0 1.01357 0 109 0.82943 1.01357 22.2% - 0s
0 0 1.01357 0 100 0.82943 1.01357 22.2% - 0s
0 2 1.01357 0 100 0.82943 1.01357 22.2% - 0s
1519 570 0.89614 16 99 0.82943 0.93095 12.2% 20.4 5s
3266 717 0.84018 25 101 0.82943 0.88340 6.51% 25.9 10s
6145 1033 0.83114 49 74 0.82943 0.84907 2.37% 22.0 15s
10286 1682 0.83682 98 56 0.82943 0.84080 1.37% 18.8 20s
14074 1975 0.83613 89 86 0.82943 0.83770 1.00% 17.0 25s
Cutting planes:
Gomory: 87
Cover: 6
Implied bound: 21
Projected implied bound: 54
Clique: 1
MIR: 6
Flow cover: 53
Inf proof: 83
Explored 14450 nodes (245789 simplex iterations) in 25.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.829426
Optimal solution found (tolerance 1.00e-02)
Best objective 8.294258768021e-01, best bound 8.376587075135e-01, gap 0.9926%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8mrl03av.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy5b26cpn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.818838
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.045356e+00, 940 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04536 0 102 0.81884 1.04536 27.7% - 0s
0 0 1.01113 0 107 0.81884 1.01113 23.5% - 0s
0 0 1.01113 0 107 0.81884 1.01113 23.5% - 0s
0 0 1.00339 0 117 0.81884 1.00339 22.5% - 0s
0 0 1.00319 0 118 0.81884 1.00319 22.5% - 0s
0 0 1.00318 0 119 0.81884 1.00318 22.5% - 0s
0 0 1.00317 0 119 0.81884 1.00317 22.5% - 0s
0 0 1.00316 0 119 0.81884 1.00316 22.5% - 0s
0 0 1.00316 0 120 0.81884 1.00316 22.5% - 0s
0 0 1.00234 0 120 0.81884 1.00234 22.4% - 0s
0 0 1.00052 0 120 0.81884 1.00052 22.2% - 0s
0 0 1.00038 0 123 0.81884 1.00038 22.2% - 0s
0 0 1.00038 0 123 0.81884 1.00038 22.2% - 0s
0 0 1.00038 0 123 0.81884 1.00038 22.2% - 0s
0 0 1.00038 0 109 0.81884 1.00038 22.2% - 0s
0 2 1.00038 0 109 0.81884 1.00038 22.2% - 0s
1359 640 0.82781 50 82 0.81884 0.93045 13.6% 21.4 5s
H 2499 545 0.8188376 0.89715 9.56% 25.8 8s
3090 602 0.85192 41 86 0.81884 0.88638 8.25% 27.2 10s
5012 756 0.83559 48 82 0.81884 0.86556 5.71% 30.1 15s
7736 959 cutoff 45 0.81884 0.84809 3.57% 29.0 20s
10814 1103 0.83558 52 89 0.81884 0.83577 2.07% 26.7 25s
14875 1576 0.82861 108 64 0.81884 0.82861 1.19% 23.3 30s
Cutting planes:
Gomory: 75
Cover: 2
Implied bound: 23
Projected implied bound: 48
MIR: 6
Flow cover: 55
Inf proof: 102
Explored 15863 nodes (362824 simplex iterations) in 32.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.818838 0.818838
Optimal solution found (tolerance 1.00e-02)
Best objective 8.188375970249e-01, best bound 8.266525729278e-01, gap 0.9544%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx_xdc6e4.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpplhdg_a2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.815328
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.035769e+00, 1010 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03577 0 105 0.81533 1.03577 27.0% - 0s
0 0 1.00193 0 116 0.81533 1.00193 22.9% - 0s
0 0 1.00193 0 116 0.81533 1.00193 22.9% - 0s
0 0 0.99470 0 133 0.81533 0.99470 22.0% - 0s
0 0 0.99456 0 134 0.81533 0.99456 22.0% - 0s
0 0 0.99441 0 133 0.81533 0.99441 22.0% - 0s
0 0 0.99433 0 137 0.81533 0.99433 22.0% - 0s
0 0 0.99433 0 137 0.81533 0.99433 22.0% - 0s
0 0 0.99370 0 142 0.81533 0.99370 21.9% - 0s
0 0 0.99198 0 134 0.81533 0.99198 21.7% - 0s
0 0 0.99184 0 135 0.81533 0.99184 21.6% - 0s
0 0 0.99184 0 135 0.81533 0.99184 21.6% - 0s
0 2 0.99184 0 135 0.81533 0.99184 21.6% - 0s
940 565 infeasible 41 0.81533 0.94116 15.4% 22.6 5s
H 2424 401 0.8153281 0.88097 8.05% 26.6 9s
2762 426 infeasible 36 0.81533 0.87607 7.45% 27.1 10s
4422 441 0.83004 33 113 0.81533 0.85000 4.25% 28.4 15s
8690 1299 0.82498 78 73 0.81533 0.82775 1.52% 22.6 20s
14583 2697 0.82048 70 64 0.81533 0.82394 1.06% 17.9 25s
Cutting planes:
Gomory: 85
Cover: 1
Implied bound: 25
Projected implied bound: 57
Clique: 1
MIR: 6
Flow cover: 79
Inf proof: 79
Explored 15514 nodes (275169 simplex iterations) in 25.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.815328 0.815328
Optimal solution found (tolerance 1.00e-02)
Best objective 8.153281360966e-01, best bound 8.233775345121e-01, gap 0.9873%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgrc0h8h5.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcahes1bx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.806663
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.020942e+00, 987 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02094 0 106 0.80666 1.02094 26.6% - 0s
0 0 0.98837 0 120 0.80666 0.98837 22.5% - 0s
0 0 0.98835 0 120 0.80666 0.98835 22.5% - 0s
0 0 0.98059 0 126 0.80666 0.98059 21.6% - 0s
0 0 0.98059 0 126 0.80666 0.98059 21.6% - 0s
0 0 0.98049 0 128 0.80666 0.98049 21.5% - 0s
0 0 0.98049 0 128 0.80666 0.98049 21.5% - 0s
0 0 0.98038 0 129 0.80666 0.98038 21.5% - 0s
0 0 0.98038 0 118 0.80666 0.98038 21.5% - 0s
0 2 0.98038 0 118 0.80666 0.98038 21.5% - 0s
957 562 0.92087 19 121 0.80666 0.93131 15.5% 24.6 5s
2087 351 infeasible 18 0.80666 0.88736 10.0% 39.0 10s
3499 637 0.82269 31 102 0.80666 0.85469 5.95% 36.8 15s
5934 965 0.82490 33 102 0.80666 0.83247 3.20% 33.5 20s
8801 1421 0.80916 56 92 0.80666 0.82434 2.19% 29.5 25s
11246 1848 0.80701 115 44 0.80666 0.81962 1.61% 27.0 30s
H13709 2656 0.8066633 0.81707 1.29% 24.4 33s
14283 2722 infeasible 73 0.80666 0.81700 1.28% 24.0 35s
Cutting planes:
Gomory: 100
Implied bound: 29
Projected implied bound: 55
MIR: 7
Flow cover: 69
Inf proof: 100
Explored 18997 nodes (396778 simplex iterations) in 38.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.806663 0.806663
Optimal solution found (tolerance 1.00e-02)
Best objective 8.066632931721e-01, best bound 8.146859831536e-01, gap 0.9946%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmt8is6yz.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeti43lqx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.79187
Presolve removed 676 rows and 438 columns
Presolve time: 0.02s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 9.984011e-01, 1005 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99840 0 113 0.79187 0.99840 26.1% - 0s
0 0 0.96572 0 125 0.79187 0.96572 22.0% - 0s
0 0 0.96570 0 126 0.79187 0.96570 22.0% - 0s
0 0 0.95852 0 133 0.79187 0.95852 21.0% - 0s
0 0 0.95839 0 134 0.79187 0.95839 21.0% - 0s
0 0 0.95831 0 137 0.79187 0.95831 21.0% - 0s
0 0 0.95829 0 139 0.79187 0.95829 21.0% - 0s
0 0 0.95829 0 138 0.79187 0.95829 21.0% - 0s
0 0 0.95829 0 121 0.79187 0.95829 21.0% - 0s
0 2 0.95829 0 121 0.79187 0.95829 21.0% - 0s
1065 652 infeasible 39 0.79187 0.91143 15.1% 19.0 5s
3541 1279 0.79932 44 94 0.79187 0.87910 11.0% 22.5 10s
5001 1620 0.83620 34 98 0.79187 0.86257 8.93% 25.5 15s
7173 1751 0.83266 37 117 0.79187 0.84147 6.26% 29.6 20s
H 8184 1800 0.7918703 0.83290 5.18% 30.4 23s
8740 1642 infeasible 36 0.79187 0.82720 4.46% 31.0 25s
10822 1586 0.81363 42 105 0.79187 0.81625 3.08% 32.0 30s
13486 2086 cutoff 86 0.79187 0.80995 2.28% 29.9 35s
16704 3077 cutoff 96 0.79187 0.80844 2.09% 27.2 40s
21542 4726 infeasible 99 0.79187 0.80681 1.89% 24.3 56s
23434 4866 cutoff 122 0.79187 0.80571 1.75% 24.1 60s
26241 5030 cutoff 77 0.79187 0.80447 1.59% 24.0 65s
29293 5092 0.79867 67 102 0.79187 0.80310 1.42% 23.8 70s
32440 4852 cutoff 118 0.79187 0.80187 1.26% 23.8 75s
35594 4642 0.79383 109 79 0.79187 0.80086 1.14% 23.6 80s
38597 4357 0.79603 107 79 0.79187 0.79987 1.01% 23.5 85s
Cutting planes:
Gomory: 109
Cover: 2
Implied bound: 31
Projected implied bound: 54
MIR: 10
Flow cover: 104
Inf proof: 186
Explored 38957 nodes (916708 simplex iterations) in 85.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.79187 0.79187
Optimal solution found (tolerance 1.00e-02)
Best objective 7.918703364149e-01, best bound 7.997222201987e-01, gap 0.9916%
Run 9
Seed for training 967
Seed for simulation 187
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.77231909e-01, 8.00429233e-04, 5.41350528e-08]])
fopt: 0.37316466280623584
fun: -0.37321772404463355
message: 'Optimization terminated successfully.'
nfev: 376
nit: 3
status: 0
success: True
x: array([222.59831655, 2.0007929 , 1.00008365])
xopt: array([222., 2., 1.])
zopt: array([222., 224., 225.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsqo_391b.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg60kk4u0.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.373165
Presolve removed 690 rows and 447 columns
Presolve time: 0.02s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.711913e-01, 1078 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97119 0 100 0.37316 0.97119 160% - 0s
0 0 0.93259 0 97 0.37316 0.93259 150% - 0s
0 0 0.93259 0 97 0.37316 0.93259 150% - 0s
0 0 0.93092 0 113 0.37316 0.93092 149% - 0s
0 0 0.93059 0 110 0.37316 0.93059 149% - 0s
0 0 0.92955 0 113 0.37316 0.92955 149% - 0s
0 0 0.92954 0 114 0.37316 0.92954 149% - 0s
0 0 0.92939 0 117 0.37316 0.92939 149% - 0s
0 0 0.92905 0 119 0.37316 0.92905 149% - 0s
0 0 0.92905 0 122 0.37316 0.92905 149% - 0s
0 0 0.92905 0 121 0.37316 0.92905 149% - 0s
0 0 0.92905 0 121 0.37316 0.92905 149% - 0s
0 0 0.92905 0 121 0.37316 0.92905 149% - 0s
0 0 0.92905 0 110 0.37316 0.92905 149% - 0s
0 0 0.92905 0 108 0.37316 0.92905 149% - 0s
0 2 0.92905 0 108 0.37316 0.92905 149% - 0s
1343 838 0.49555 84 67 0.37316 0.87431 134% 23.1 5s
* 1733 898 121 0.4259271 0.87431 105% 22.4 5s
3527 1920 0.44338 59 71 0.42593 0.87431 105% 23.7 10s
5713 3392 0.68007 45 114 0.42593 0.87431 105% 26.9 15s
7551 4437 0.76398 30 114 0.42593 0.87356 105% 29.1 20s
9900 5759 0.72138 41 108 0.42593 0.87061 104% 31.0 25s
11592 6636 0.70313 29 117 0.42593 0.86859 104% 32.4 30s
13506 7610 0.84089 34 124 0.42593 0.86591 103% 33.4 35s
H14706 6831 0.4989277 0.86429 73.2% 34.3 39s
H14716 6738 0.5026253 0.86429 72.0% 34.3 39s
H14717 6606 0.5089139 0.86429 69.8% 34.3 39s
14720 6590 0.59486 38 113 0.50891 0.86424 69.8% 34.3 40s
H14815 6462 0.5165341 0.86410 67.3% 34.3 40s
H14980 6509 0.5202620 0.86404 66.1% 34.4 42s
H14981 6457 0.5230375 0.86404 65.2% 34.4 42s
15293 6573 0.62107 33 107 0.52304 0.86346 65.1% 34.5 45s
17049 7331 0.73284 28 116 0.52304 0.86089 64.6% 35.5 50s
19236 8326 0.60991 42 110 0.52304 0.85843 64.1% 36.5 55s
20731 8849 0.54807 39 108 0.52304 0.85711 63.9% 37.4 73s
20734 8851 0.56840 42 131 0.52304 0.85711 63.9% 37.4 75s
20745 8858 0.68272 38 181 0.52304 0.84921 62.4% 37.4 80s
20752 8863 0.84266 27 200 0.52304 0.84266 61.1% 37.4 85s
20759 8868 0.64134 36 200 0.52304 0.83993 60.6% 37.4 90s
20764 8871 0.77685 34 192 0.52304 0.83829 60.3% 37.4 96s
20770 8875 0.60754 64 192 0.52304 0.83761 60.1% 37.3 101s
20774 8878 0.81582 31 195 0.52304 0.83698 60.0% 37.3 105s
20780 8882 0.60184 44 196 0.52304 0.83620 59.9% 37.3 110s
20786 8886 0.83563 26 180 0.52304 0.83563 59.8% 37.3 115s
20792 8890 0.83543 33 184 0.52304 0.83543 59.7% 37.3 120s
20796 8892 0.72503 29 189 0.52304 0.83501 59.6% 37.3 125s
20802 8896 0.58779 53 198 0.52304 0.83351 59.4% 37.3 130s
20807 8900 0.82239 28 200 0.52304 0.83280 59.2% 37.3 135s
20812 8903 0.83107 27 198 0.52304 0.83107 58.9% 37.3 140s
20816 8906 0.69456 58 208 0.52304 0.83043 58.8% 37.3 145s
20821 8909 0.71088 43 214 0.52304 0.82664 58.0% 37.3 150s
20828 8914 0.64257 47 212 0.52304 0.82342 57.4% 37.2 155s
20833 8917 0.55527 47 237 0.52304 0.82186 57.1% 37.2 160s
20838 8920 0.81707 30 224 0.52304 0.81707 56.2% 37.2 166s
20842 8923 0.72607 51 229 0.52304 0.81682 56.2% 37.2 171s
20846 8926 0.68507 35 236 0.52304 0.81677 56.2% 37.2 177s
20849 8928 0.70938 37 223 0.52304 0.81674 56.2% 37.2 180s
20855 8932 0.68889 35 234 0.52304 0.81608 56.0% 37.2 185s
20861 8936 0.73944 30 229 0.52304 0.81604 56.0% 37.2 190s
H20863 8487 0.5230375 0.81578 56.0% 37.2 193s
20866 8489 0.73188 33 231 0.52304 0.81577 56.0% 37.2 195s
20872 8493 0.57788 48 231 0.52304 0.81522 55.9% 37.2 200s
20876 8496 0.81522 32 225 0.52304 0.81522 55.9% 37.2 205s
20881 8499 0.75332 30 223 0.52304 0.81516 55.9% 37.1 210s
20886 8502 0.81456 26 222 0.52304 0.81456 55.7% 37.1 215s
20891 8506 0.58323 38 233 0.52304 0.81437 55.7% 37.1 220s
20898 8510 0.59501 44 230 0.52304 0.81407 55.6% 37.1 225s
20903 8514 0.81391 26 231 0.52304 0.81391 55.6% 37.1 230s
20908 8517 0.69794 42 227 0.52304 0.81381 55.6% 37.1 235s
20914 8521 0.74507 34 228 0.52304 0.81351 55.5% 37.1 240s
20918 8524 0.70619 41 222 0.52304 0.81327 55.5% 37.1 245s
20923 8527 0.67166 38 213 0.52304 0.81211 55.3% 37.1 250s
20928 8530 0.64257 47 220 0.52304 0.81192 55.2% 37.1 256s
20932 8533 0.59822 38 220 0.52304 0.81185 55.2% 37.1 260s
20936 8536 0.73255 46 224 0.52304 0.81178 55.2% 37.0 265s
20942 8540 0.72607 51 225 0.52304 0.81096 55.0% 37.0 270s
20945 8545 0.80838 21 210 0.52304 0.81040 54.9% 38.8 275s
20951 8543 0.80166 23 216 0.52304 0.80393 53.7% 38.9 283s
20954 8544 0.79389 24 211 0.52304 0.80247 53.4% 38.9 285s
21005 8562 0.78538 31 197 0.52304 0.80111 53.2% 39.3 290s
H21044 8152 0.5238458 0.80111 52.9% 39.4 293s
21070 8165 0.73484 43 156 0.52385 0.80111 52.9% 39.5 295s
H21106 7777 0.5238458 0.80111 52.9% 39.6 296s
21181 7796 0.67461 55 133 0.52385 0.80111 52.9% 39.6 300s
21384 7860 0.78866 27 208 0.52385 0.79521 51.8% 40.2 305s
21820 7986 0.67182 43 138 0.52385 0.79368 51.5% 41.1 310s
22330 8147 cutoff 39 0.52385 0.79063 50.9% 42.0 315s
22863 8322 0.74435 38 194 0.52385 0.78963 50.7% 42.9 320s
23333 8435 infeasible 51 0.52385 0.78866 50.6% 43.9 325s
23779 8606 0.56825 61 128 0.52385 0.78830 50.5% 44.6 330s
24099 8658 0.77375 39 179 0.52385 0.78798 50.4% 45.3 335s
24556 8754 0.73535 48 156 0.52385 0.78733 50.3% 46.6 341s
24846 8824 0.73257 61 165 0.52385 0.78733 50.3% 47.4 345s
25391 8988 0.64303 45 149 0.52385 0.78690 50.2% 48.3 350s
25857 9100 0.76142 34 182 0.52385 0.78662 50.2% 49.0 355s
26311 9261 0.67188 54 147 0.52385 0.78625 50.1% 49.6 366s
H26313 8873 0.5238458 0.78625 50.1% 49.6 366s
26639 8978 0.77685 39 173 0.52385 0.78617 50.1% 49.7 371s
26939 9044 0.70788 48 160 0.52385 0.78594 50.0% 50.0 375s
27377 9170 infeasible 37 0.52385 0.78572 50.0% 50.9 380s
27846 9293 0.78034 47 173 0.52385 0.78547 49.9% 51.6 385s
28478 9484 0.64494 46 151 0.52385 0.78519 49.9% 52.4 391s
28723 9524 0.78218 39 165 0.52385 0.78505 49.9% 53.0 395s
29457 9725 0.77874 40 184 0.52385 0.78442 49.7% 53.6 401s
29730 9776 0.58151 56 122 0.52385 0.78423 49.7% 54.2 405s
30008 9814 0.76969 44 179 0.52385 0.78411 49.7% 54.8 410s
30598 9904 0.63959 52 148 0.52385 0.78379 49.6% 55.9 417s
30986 9980 0.73097 50 162 0.52385 0.78365 49.6% 56.3 421s
31325 10059 0.66214 49 144 0.52385 0.78345 49.6% 56.8 426s
31785 10152 0.76727 47 165 0.52385 0.78333 49.5% 57.1 431s
32145 10236 infeasible 49 0.52385 0.78332 49.5% 57.6 435s
32574 10333 infeasible 39 0.52385 0.78310 49.5% 58.2 440s
33436 10560 cutoff 46 0.52385 0.78286 49.4% 58.9 448s
33662 10578 0.64466 64 140 0.52385 0.78282 49.4% 59.2 452s
34045 10655 0.64028 53 141 0.52385 0.78265 49.4% 59.7 456s
34382 10715 0.75351 55 155 0.52385 0.78255 49.4% 60.2 461s
34687 10770 0.63758 43 88 0.52385 0.78244 49.4% 60.8 466s
H34788 10364 0.5286873 0.78244 48.0% 60.8 466s
34791 10348 0.75734 44 184 0.52869 0.78244 48.0% 60.8 471s
35105 10399 0.59732 48 92 0.52869 0.78231 48.0% 61.4 475s
35383 10427 0.75685 44 201 0.52869 0.78218 47.9% 62.0 480s
36127 10585 0.76222 40 178 0.52869 0.78193 47.9% 62.7 489s
36510 10661 0.69336 43 174 0.52869 0.78184 47.9% 63.2 494s
36840 10686 0.77631 38 196 0.52869 0.78167 47.9% 63.7 498s
37183 10720 0.75834 46 158 0.52869 0.78146 47.8% 64.2 503s
37608 10807 0.77870 46 175 0.52869 0.78135 47.8% 64.4 508s
37977 10874 0.70368 41 172 0.52869 0.78124 47.8% 64.9 512s
38194 10902 0.72160 43 173 0.52869 0.78112 47.7% 65.3 518s
38574 10955 0.57513 63 92 0.52869 0.78096 47.7% 65.7 523s
38935 11023 cutoff 47 0.52869 0.78072 47.7% 66.1 529s
39345 11104 cutoff 54 0.52869 0.78063 47.7% 66.5 535s
39705 11125 0.74634 44 177 0.52869 0.78052 47.6% 66.8 540s
40072 11203 0.75001 44 191 0.52869 0.78041 47.6% 67.2 545s
40397 11253 infeasible 43 0.52869 0.78032 47.6% 67.6 550s
*40776 10929 114 0.5292147 0.78022 47.4% 67.9 550s
40837 11020 0.77839 47 167 0.52921 0.78015 47.4% 67.9 555s
41175 11204 0.77190 43 157 0.52921 0.78007 47.4% 68.3 561s
41569 11392 0.76589 42 182 0.52921 0.77994 47.4% 68.6 565s
42188 11777 cutoff 47 0.52921 0.77977 47.3% 68.8 570s
42555 11937 0.70033 44 120 0.52921 0.77966 47.3% 69.1 575s
43346 12348 0.77509 43 169 0.52921 0.77936 47.3% 69.7 584s
43764 12558 0.74444 40 170 0.52921 0.77922 47.2% 70.0 589s
44099 12721 0.73730 48 176 0.52921 0.77912 47.2% 70.4 593s
44475 12946 0.62340 38 186 0.52921 0.77905 47.2% 70.7 598s
44981 13232 0.76915 48 150 0.52921 0.77884 47.2% 71.0 600s
Cutting planes:
Gomory: 218
Cover: 7
Implied bound: 63
Projected implied bound: 58
Clique: 1
MIR: 227
StrongCG: 8
Flow cover: 759
Inf proof: 131
Zero half: 1
Explored 45075 nodes (3206265 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.529215 0.528687 0.523846 ... 0.508914
Time limit reached
Best objective 5.292147242935e-01, best bound 7.788440736638e-01, gap 47.1698%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdisi_fkq.pyomo.lp
Reading time = 0.01 seconds
x817: 946 rows, 811 columns, 2968 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnczrv6r4.gurobi.mst
Optimize a model with 946 rows, 811 columns and 2968 nonzeros
Coefficient statistics:
Matrix range [7e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 673 rows and 480 columns
Presolve time: 0.01s
Presolved: 273 rows, 331 columns, 1356 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.1010104e+01 4.815000e+02 0.000000e+00 0s
165 1.3175486e+01 0.000000e+00 0.000000e+00 0s
Solved in 165 iterations and 0.01 seconds
Optimal objective 1.317548627e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.20038265, 0.98728048, 0.98728048]])
fopt: 3.375742060899223
fun: -3.388216904912644
message: 'Optimization terminated successfully.'
nfev: 131
nit: 2
status: 0
success: True
x: array([ 19.06381798, -86.9999955 , -86.9999955 ])
xopt: array([19., 0., 0.])
zopt: array([19., 19., 19.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.57129281e-07, -3.00180198e-08, 1.52376717e-08]])
fopt: 1.7274264958673196
fun: -1.7360426448541575
message: 'Optimization terminated successfully.'
nfev: 182
nit: 2
status: 0
success: True
x: array([30.99994337, -0.97769319, 2. ])
xopt: array([31., 0., 2.])
zopt: array([31., 31., 33.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.04479525, 0.00180275, 0.06298432]])
fopt: 1.9455186290772055
fun: -1.9636681519962966
message: 'Optimization terminated successfully.'
nfev: 131
nit: 2
status: 0
success: True
x: array([ 50.01486336, -0.97447612, -66.99548986])
xopt: array([50., 0., 0.])
zopt: array([50., 50., 50.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.66787237, -0.01935638, -0.01948233]])
fopt: 1.891638768094865
fun: -1.9026902587763384
message: 'Optimization terminated successfully.'
nfev: 196
nit: 2
status: 0
success: True
x: array([70.22971848, -1.00642655, -0.17392137])
xopt: array([70., 0., 0.])
zopt: array([70., 70., 70.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.31376876e-08, -5.17146903e-10, -0.00000000e+00]])
fopt: 1.824459267753293
fun: -1.8253962927690353
message: 'Optimization terminated successfully.'
nfev: 242
nit: 2
status: 0
success: True
x: array([89.68828147, 2.0632089 , 1. ])
xopt: array([89., 2., 1.])
zopt: array([89., 91., 92.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.09346020e-07, 2.57639480e-19, -2.89457766e-11]])
fopt: 1.502809262964932
fun: -1.5053097966821856
message: 'Optimization terminated successfully.'
nfev: 272
nit: 3
status: 0
success: True
x: array([89.97577688, 2. , -1.73533214])
xopt: array([89., 2., 0.])
zopt: array([89., 91., 91.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.32045729e-04, -0.00000000e+00, 3.52886802e-06],
[ 2.09131865e-06, -4.25835924e-05, -5.58881671e-08]])
fopt: 1.444702447819383
fun: -1.4505199055762366
message: 'Optimization terminated successfully.'
nfev: 311
nit: 3
status: 0
success: True
x: array([122.08912477, 1.00533487, -2.25156437])
xopt: array([122., 1., 0.])
zopt: array([122., 123., 123.])
*******************************************
Period: 8
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.3643783931558802
fun: -1.3637763649455237
message: 'Optimization terminated successfully.'
nfev: 254
nit: 2
status: 0
success: True
x: array([140.85350819, 1.00236998, 1. ])
xopt: array([140., 2., 1.])
zopt: array([140., 142., 143.])
*******************************************
Period: 9
direc: array([[-4.48467344e-01, -3.71285206e-03, -7.49052375e-05],
[-0.00000000e+00, 0.00000000e+00, -0.00000000e+00],
[ 0.00000000e+00, 1.94427191e+00, 0.00000000e+00]])
fopt: 1.1893141697396734
fun: -1.1954062256315556
message: 'Optimization terminated successfully.'
nfev: 478
nit: 5
status: 0
success: True
x: array([140.69131499, 8.0450454 , -0.87156754])
xopt: array([140., 9., 0.])
zopt: array([140., 149., 149.])
*******************************************
Period: 10
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.33456319e-05, 3.81107216e-07, -7.14723975e-07]])
fopt: 1.0466185684253217
fun: -1.0499094318699533
message: 'Optimization terminated successfully.'
nfev: 326
nit: 3
status: 0
success: True
x: array([140.97544516, 2.00000025, -0.88514508])
xopt: array([140., 2., 0.])
zopt: array([140., 142., 142.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.73179857, 0. , 0.38423392]])
fopt: 0.9661134909806318
fun: -0.9723100479486722
message: 'Optimization terminated successfully.'
nfev: 380
nit: 4
status: 0
success: True
x: array([206.00362115, 1.00813062, 3.06201269])
xopt: array([206., 1., 3.])
zopt: array([206., 207., 210.])
*******************************************
Period: 12
direc: array([[-3.78469011e-07, -9.06606278e-12, -5.40177493e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.44221787e-06, -3.55911110e-03, -1.02289704e+00]])
fopt: 1.058093444149661
fun: -1.0590563837905593
message: 'Optimization terminated successfully.'
nfev: 398
nit: 4
status: 0
success: True
x: array([141.12741727, 1.10074189, 31.00047838])
xopt: array([141., 1., 31.])
zopt: array([141., 142., 173.])
*******************************************
Period: 13
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 2.10645629e+01, 4.21291263e+01],
[-0.00000000e+00, -1.99430313e-02, -2.66587095e-02]])
fopt: 1.056269998716964
fun: -1.0538464264229312
message: 'Optimization terminated successfully.'
nfev: 522
nit: 7
status: 0
success: True
x: array([141.27325018, 49.00002581, 95.25372716])
xopt: array([141., 50., 95.])
zopt: array([141., 191., 286.])
*******************************************
Period: 14
direc: array([[4.82518241e+01, 7.93485489e-11, 9.30375824e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.83962638e-04, 7.38915555e-05, 6.27013734e+00]])
fopt: 0.935469025382582
fun: -0.935724615891014
message: 'Optimization terminated successfully.'
nfev: 542
nit: 6
status: 0
success: True
x: array([188.96716287, 3.00001373, 47.00911867])
xopt: array([188., 3., 47.])
zopt: array([188., 191., 238.])
*******************************************
Period: 15
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-4.0264523 , 4.02645236, 0. ]])
fopt: 1.0563206984716678
fun: -1.0564795806519625
message: 'Optimization terminated successfully.'
nfev: 1669
nit: 17
status: 0
success: True
x: array([72.65036832, 70.00000511, 47. ])
xopt: array([73., 70., 47.])
zopt: array([ 73., 143., 190.])
*******************************************
Period: 16
direc: array([[ 1.13281806e-06, 1.42226407e-13, 1.61566099e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.96789621e-06, 1.06781870e-02, 2.45869470e+00]])
fopt: 0.8957704862087004
fun: -0.894545552906864
message: 'Optimization terminated successfully.'
nfev: 362
nit: 5
status: 0
success: True
x: array([140.98310593, 2.03262671, 87.00592618])
xopt: array([140., 2., 87.])
zopt: array([140., 142., 229.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0.16209836, 104.39035761]])
fopt: 0.9100363896437282
fun: -0.9090632627918718
message: 'Optimization terminated successfully.'
nfev: 383
nit: 5
status: 0
success: True
x: array([140.8997607 , 2.0000001 , 109.02844461])
xopt: array([140., 2., 109.])
zopt: array([140., 142., 251.])
*******************************************
Period: 18
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8524354752852071
fun: -0.8524296534226509
message: 'Optimization terminated successfully.'
nfev: 177
nit: 3
status: 0
success: True
x: array([187.91737527, 4. , 126.00116126])
xopt: array([187., 4., 126.])
zopt: array([187., 191., 317.])
*******************************************
Period: 19
direc: array([[-1.01362362e+02, 3.44261941e+01, 3.25076882e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.08541893e-06, 3.82303836e-04, -4.80396643e-03]])
fopt: 0.7542236064687348
fun: -0.7491172687152415
message: 'Optimization terminated successfully.'
nfev: 327
nit: 5
status: 0
success: True
x: array([102.99857261, 40.00042662, 45.00011251])
xopt: array([102., 40., 46.])
zopt: array([102., 142., 188.])
*******************************************
Period: 20
direc: array([[-55.21687677, 0.46543875, 120.19158246],
[ 0. , 1. , 0. ],
[ -2.00598878, 1.01 , 0. ]])
fopt: 0.7876040823681645
fun: -0.7890604580775252
message: 'Optimization terminated successfully.'
nfev: 608
nit: 7
status: 0
success: True
x: array([135.99746986, 6.03286364, 126.26077005])
xopt: array([135., 7., 126.])
zopt: array([135., 142., 268.])
*******************************************
Period: 21
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-104.3576958 , 35.04419331, 67.70874514]])
fopt: 0.6995781869674379
fun: -0.6992341922075647
message: 'Optimization terminated successfully.'
nfev: 306
nit: 5
status: 0
success: True
x: array([101.42345387, 41.00002959, 73.00000002])
xopt: array([101., 41., 73.])
zopt: array([101., 142., 215.])
*******************************************
Period: 22
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7450410880217461
fun: -0.744284648052728
message: 'Optimization terminated successfully.'
nfev: 275
nit: 4
status: 0
success: True
x: array([140.94873753, 1.00159346, 126.00869952])
xopt: array([140., 2., 126.])
zopt: array([140., 142., 268.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.41099775e+01, 1.07498054e-06, 3.25007186e+01]])
fopt: 0.6347414850636102
fun: -0.634124998390351
message: 'Optimization terminated successfully.'
nfev: 420
nit: 5
status: 0
success: True
x: array([140.83148954, 2.00000104, 47.00000009])
xopt: array([140., 2., 47.])
zopt: array([140., 142., 189.])
*******************************************
Period: 24
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 148.09542982]])
fopt: 0.7480924964000029
fun: -0.7478430189035912
message: 'Optimization terminated successfully.'
nfev: 432
nit: 5
status: 0
success: True
x: array([141.3025484 , 2.00762867, 153.00000063])
xopt: array([141., 2., 153.])
zopt: array([141., 143., 296.])
*******************************************
Period: 25
direc: array([[-7.68817341e-02, -0.00000000e+00, -1.10941575e-03],
[-1.57768025e+01, 6.00656398e+01, 1.78964019e+02],
[-2.01574563e+00, 1.00000000e+00, -2.90875326e-02]])
fopt: 0.8284313869010445
fun: -0.8259831740829425
message: 'Optimization terminated successfully.'
nfev: 883
nit: 10
status: 0
success: True
x: array([118.99980853, 70. , 185.01438317])
xopt: array([119., 71., 186.])
zopt: array([119., 190., 376.])
*******************************************
Period: 26
direc: array([[-34.15029356, 22.11790883, 43.76029177],
[ 0. , 1. , 0. ],
[ 1.92800078, 2.25541948, 4.57968526]])
fopt: 0.8284457678809307
fun: -0.8279410147509597
message: 'Optimization terminated successfully.'
nfev: 489
nit: 7
status: 0
success: True
x: array([ 75.66307192, 67.01604345, 127.00003022])
xopt: array([ 75., 67., 127.])
zopt: array([ 75., 142., 269.])
*******************************************
Period: 27
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5204067144900425
fun: -0.5239485968877495
message: 'Optimization terminated successfully.'
nfev: 337
nit: 3
status: 0
success: True
x: array([141.15920342, 1.0000026 , 4. ])
xopt: array([141., 1., 4.])
zopt: array([141., 142., 146.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 10.01249311]])
fopt: 0.7368694923140804
fun: -0.7357305700916792
message: 'Optimization terminated successfully.'
nfev: 670
nit: 8
status: 0
success: True
x: array([140.88424966, 1. , 151.00001574])
xopt: array([140., 2., 152.])
zopt: array([140., 142., 294.])
*******************************************
Period: 29
direc: array([[0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 9.77855725e-13, 5.37490262e-07]])
fopt: 0.5470114272248682
fun: -0.5467706339360998
message: 'Optimization terminated successfully.'
nfev: 307
nit: 3
status: 0
success: True
x: array([141.74896101, 1.14589984, 3.00000054])
xopt: array([141., 1., 4.])
zopt: array([141., 142., 146.])
*******************************************
Period: 30
direc: array([[ 1.30470929e-01, 6.40054458e-04, 1.28199053e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.79035497e-05, 1.56048493e-08, -4.64802619e-03]])
fopt: 0.5437362104361104
fun: -0.545481863894776
message: 'Optimization terminated successfully.'
nfev: 502
nit: 5
status: 0
success: True
x: array([204.90524974, 2.00017736, 6.00000314])
xopt: array([204., 2., 7.])
zopt: array([204., 206., 213.])
*******************************************
Period: 31
direc: array([[ 4.73966520e-01, 2.30767519e-03, 2.30767519e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.86901599e-02, -5.98580789e-03, 1.74059576e+02]])
fopt: 0.7472792908044044
fun: -0.7471677821251796
message: 'Optimization terminated successfully.'
nfev: 746
nit: 8
status: 0
success: True
x: array([184.88679754, 6.0029068 , 185.0059456 ])
xopt: array([184., 7., 186.])
zopt: array([184., 191., 377.])
*******************************************
Period: 32
direc: array([[1.87314847e-01, 9.14570430e-04, 9.14570430e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.12403846e-01, 4.45581468e-07, 1.18539852e+00]])
fopt: 0.5277840019731403
fun: -0.527550844661879
message: 'Optimization terminated successfully.'
nfev: 438
nit: 4
status: 0
success: True
x: array([206.20357759, 2.00045393, 4.18627416])
xopt: array([206., 2., 5.])
zopt: array([206., 208., 213.])
*******************************************
Period: 33
direc: array([[-6.28522961e-12, -1.60762022e-04, 2.32780903e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.43463932e-10, 2.60557528e-07, -1.17001117e-04]])
fopt: 0.6819668352196646
fun: -0.7048219676343138
message: 'Optimization terminated successfully.'
nfev: 1450
nit: 16
status: 0
success: True
x: array([207.91777744, -16.09000137, 186.00078808])
xopt: array([207., 0., 186.])
zopt: array([207., 207., 393.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 172.22825898]])
fopt: 0.6519247975718023
fun: -0.6829721887040007
message: 'Optimization terminated successfully.'
nfev: 515
nit: 7
status: 0
success: True
x: array([209.23497451, -17.30769527, 186.08297561])
xopt: array([209., 0., 186.])
zopt: array([209., 209., 395.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 171.13320581]])
fopt: 0.6521349609453825
fun: -0.6787154119569685
message: 'Optimization terminated successfully.'
nfev: 464
nit: 6
status: 0
success: True
x: array([208.39402177, -16.39402951, 186.00000169])
xopt: array([208., 0., 186.])
zopt: array([208., 208., 394.])
*******************************************
Period: 36
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -6.53613620e-06, 5.75491696e+01],
[ 0.00000000e+00, 2.04009048e-05, 0.00000000e+00]])
fopt: 0.6419989713202512
fun: -0.6697696196645406
message: 'Optimization terminated successfully.'
nfev: 702
nit: 9
status: 0
success: True
x: array([208.37972837, -17.54851268, 186.06135978])
xopt: array([208., 0., 186.])
zopt: array([208., 208., 394.])
*******************************************
Period: 37
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.4714788363964625
fun: -0.4714175623107592
message: 'Optimization terminated successfully.'
nfev: 446
nit: 6
status: 0
success: True
x: array([208.49494053, 2.09288362, 7.00433851])
xopt: array([208., 2., 8.])
zopt: array([208., 210., 218.])
*******************************************
Period: 38
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 0.94377285]])
fopt: 0.4567855009091725
fun: -0.4559468637402579
message: 'Optimization terminated successfully.'
nfev: 280
nit: 3
status: 0
success: True
x: array([208.48166237, 2. , 5.00011334])
xopt: array([208., 2., 6.])
zopt: array([208., 210., 216.])
*******************************************
Period: 39
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4442434490930116
fun: -0.4443592989207831
message: 'Optimization terminated successfully.'
nfev: 441
nit: 5
status: 0
success: True
x: array([208.83104728, 2.00813062, 7.00087696])
xopt: array([208., 2., 8.])
zopt: array([208., 210., 218.])
*******************************************
Period: 40
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 172.51121816]])
fopt: 0.6138268297950953
fun: -0.635093513681236
message: 'Optimization terminated successfully.'
nfev: 507
nit: 6
status: 0
success: True
x: array([209.1188301 , -6.11882897, 186. ])
xopt: array([209., 0., 186.])
zopt: array([209., 209., 395.])
*******************************************
Period: 41
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 173.17065975]])
fopt: 0.6163297418673932
fun: -0.6374244669509797
message: 'Optimization terminated successfully.'
nfev: 465
nit: 6
status: 0
success: True
x: array([209.63265103, -18.6326536 , 186.00000662])
xopt: array([209., 0., 186.])
zopt: array([209., 209., 395.])
*******************************************
Period: 42
direc: array([[ 9.08653711e-04, 4.36538293e-06, 4.36538293e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-5.68434189e-14, -6.10870587e-05, 1.00000000e+00]])
fopt: 0.40331112486559695
fun: -0.4050230317554163
message: 'Optimization terminated successfully.'
nfev: 447
nit: 4
status: 0
success: True
x: array([209.15073777, 2.00298781, 5.00000437])
xopt: array([209., 2., 6.])
zopt: array([209., 211., 217.])
*******************************************
Period: 43
direc: array([[9.95830754e-09, 4.79585052e-11, 9.85727356e-11],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.40340923e-09, 4.27853188e-04, 9.34829196e-01]])
fopt: 0.40878376352901896
fun: -0.40863015639551953
message: 'Optimization terminated successfully.'
nfev: 345
nit: 3
status: 0
success: True
x: array([208.64424371, 2.00088096, 4.98020446])
xopt: array([208., 2., 5.])
zopt: array([208., 210., 215.])
*******************************************
Period: 44
direc: array([[ 8.07012875e-06, 3.87841911e-08, 3.87841911e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.48200929e-02, 8.76611436e-06, 9.94793214e-01]])
fopt: 0.41122146154636546
fun: -0.41096572337056525
message: 'Optimization terminated successfully.'
nfev: 629
nit: 6
status: 0
success: True
x: array([208.74146283, 2.00045786, 7.00311236])
xopt: array([208., 2., 8.])
zopt: array([208., 210., 218.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprrc9odcy.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx6h_l_y7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.85222
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.37574 1.85222
Optimal solution found (tolerance 1.00e-02)
Best objective 3.375742060899e+00, best bound 3.375742060899e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn4s7otn9.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkcbbifcj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.59641
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.731868e+00, 4 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.7318683 1.73187 0.00% - 0s
Explored 0 nodes (4 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.73187 1.59641
Optimal solution found (tolerance 1.00e-02)
Best objective 1.731868261737e+00, best bound 1.731868261737e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9x7x8x3f.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg4r3be5s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934471
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.162957e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16296 0 6 0.93447 2.16296 131% - 0s
H 0 0 1.9455186 2.16296 11.2% - 0s
0 0 2.07850 0 1 1.94552 2.07850 6.84% - 0s
Cutting planes:
Gomory: 4
Flow cover: 2
Flow path: 1
Explored 1 nodes (32 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.94552 0.934471
Optimal solution found (tolerance 1.00e-02)
Best objective 1.945518629077e+00, best bound 1.945518629077e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9_jxktv9.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpajaeib8i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22807
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 2.253402e+00, 39 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.25340 0 9 1.22807 2.25340 83.5% - 0s
H 0 0 1.9017861 2.25340 18.5% - 0s
0 0 cutoff 0 1.90179 1.90179 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 5
Flow cover: 1
Flow path: 1
Explored 1 nodes (50 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.90179 1.22807
Optimal solution found (tolerance 1.00e-02)
Best objective 1.901786061068e+00, best bound 1.901786061068e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyzceceh3.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb0hb10s5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3621
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.340098e+00, 64 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.34010 0 4 1.36210 2.34010 71.8% - 0s
H 0 0 1.9331468 2.34010 21.1% - 0s
0 0 cutoff 0 1.93315 1.93315 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (87 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.93315 1.3621
Optimal solution found (tolerance 1.00e-02)
Best objective 1.933146797450e+00, best bound 1.933146797450e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp8zik5hr.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdkpobyxp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.59264
Presolve removed 161 rows and 111 columns
Presolve time: 0.00s
Presolved: 122 rows, 97 columns, 420 nonzeros
Variable types: 49 continuous, 48 integer (43 binary)
Root relaxation: objective 1.963415e+00, 74 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89933 0 3 1.59264 1.89933 19.3% - 0s
H 0 0 1.6081837 1.89933 18.1% - 0s
0 0 1.85672 0 2 1.60818 1.85672 15.5% - 0s
0 0 cutoff 0 1.60818 1.60818 0.00% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow cover: 2
Explored 1 nodes (107 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.60818 1.59264
Optimal solution found (tolerance 1.00e-02)
Best objective 1.608183714433e+00, best bound 1.608183714433e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcyzgcmnx.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptcdjftex.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30193
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.065879e+00, 113 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06588 0 7 1.30193 2.06588 58.7% - 0s
H 0 0 1.6677570 2.06588 23.9% - 0s
0 0 1.75822 0 2 1.66776 1.75822 5.42% - 0s
H 0 0 1.6814469 1.75822 4.57% - 0s
0 0 1.75812 0 4 1.68145 1.75812 4.56% - 0s
0 0 1.73339 0 1 1.68145 1.73339 3.09% - 0s
H 0 0 1.6853126 1.73339 2.85% - 0s
0 0 1.71606 0 1 1.68531 1.71606 1.82% - 0s
0 0 1.71606 0 1 1.68531 1.71606 1.82% - 0s
0 0 cutoff 0 1.68531 1.68531 0.00% - 0s
Explored 1 nodes (164 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.68531 1.68145 1.66776 1.30193
Optimal solution found (tolerance 1.00e-02)
Best objective 1.685312579128e+00, best bound 1.685312579128e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3lmlv5be.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpimayqyiy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.36339
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.090775e+00, 134 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09077 0 8 1.36339 2.09077 53.4% - 0s
0 0 1.95688 0 17 1.36339 1.95688 43.5% - 0s
0 0 1.81392 0 6 1.36339 1.81392 33.0% - 0s
0 0 1.81392 0 6 1.36339 1.81392 33.0% - 0s
0 2 1.81392 0 6 1.36339 1.81392 33.0% - 0s
H 4 2 1.4331890 1.78576 24.6% 3.0 0s
H 9 6 1.6571172 1.78424 7.67% 3.4 0s
Cutting planes:
Gomory: 9
Implied bound: 3
Clique: 3
Flow cover: 10
Explored 22 nodes (299 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.65712 1.43319 1.36339
Optimal solution found (tolerance 1.00e-02)
Best objective 1.657117173250e+00, best bound 1.658828361562e+00, gap 0.1033%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplf08_4pi.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5qk3mm6s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43685
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.915948e+00, 148 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91595 0 9 1.43685 1.91595 33.3% - 0s
0 0 1.72724 0 21 1.43685 1.72724 20.2% - 0s
0 0 1.72643 0 21 1.43685 1.72643 20.2% - 0s
0 0 1.68394 0 19 1.43685 1.68394 17.2% - 0s
0 0 1.65002 0 10 1.43685 1.65002 14.8% - 0s
0 0 1.65002 0 12 1.43685 1.65002 14.8% - 0s
0 0 1.63819 0 13 1.43685 1.63819 14.0% - 0s
0 0 1.63819 0 13 1.43685 1.63819 14.0% - 0s
0 0 1.63523 0 6 1.43685 1.63523 13.8% - 0s
0 0 1.63523 0 12 1.43685 1.63523 13.8% - 0s
0 0 1.63523 0 12 1.43685 1.63523 13.8% - 0s
H 0 0 1.4727319 1.63523 11.0% - 0s
0 0 1.63523 0 5 1.47273 1.63523 11.0% - 0s
0 0 1.62917 0 4 1.47273 1.62917 10.6% - 0s
H 0 0 1.4804600 1.62917 10.0% - 0s
0 0 1.62917 0 5 1.48046 1.62917 10.0% - 0s
0 0 1.62150 0 3 1.48046 1.62150 9.53% - 0s
0 0 1.61883 0 2 1.48046 1.61883 9.35% - 0s
0 0 1.61026 0 2 1.48046 1.61026 8.77% - 0s
H 0 0 1.4920523 1.61026 7.92% - 0s
0 0 1.49357 0 1 1.49205 1.49357 0.10% - 0s
Cutting planes:
Gomory: 6
Implied bound: 1
Flow cover: 3
Explored 1 nodes (407 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.49205 1.48046 1.47273 1.43685
Optimal solution found (tolerance 1.00e-02)
Best objective 1.492052270774e+00, best bound 1.493573327052e+00, gap 0.1019%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbhd02rvx.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr2_y50wb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25505
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.920536e+00, 160 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92054 0 11 1.25505 1.92054 53.0% - 0s
0 0 1.70060 0 18 1.25505 1.70060 35.5% - 0s
0 0 1.67245 0 17 1.25505 1.67245 33.3% - 0s
0 0 1.67207 0 17 1.25505 1.67207 33.2% - 0s
0 0 1.66326 0 17 1.25505 1.66326 32.5% - 0s
0 0 1.66243 0 18 1.25505 1.66243 32.5% - 0s
0 0 1.66241 0 17 1.25505 1.66241 32.5% - 0s
0 0 1.66058 0 15 1.25505 1.66058 32.3% - 0s
0 0 1.66058 0 15 1.25505 1.66058 32.3% - 0s
H 0 0 1.3062074 1.66058 27.1% - 0s
0 2 1.66058 0 15 1.30621 1.66058 27.1% - 0s
* 63 13 13 1.4103358 1.50168 6.48% 6.0 0s
Cutting planes:
Gomory: 6
Implied bound: 6
Clique: 3
MIR: 7
Flow cover: 14
Explored 98 nodes (809 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.41034 1.30621 1.25505
Optimal solution found (tolerance 1.00e-02)
Best objective 1.410335788984e+00, best bound 1.410335788984e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyxkynw20.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0qyvi616.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21922
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.946087e+00, 190 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94609 0 14 1.21922 1.94609 59.6% - 0s
0 0 1.82308 0 20 1.21922 1.82308 49.5% - 0s
0 0 1.81957 0 23 1.21922 1.81957 49.2% - 0s
H 0 0 1.3601241 1.81957 33.8% - 0s
0 0 1.71697 0 25 1.36012 1.71697 26.2% - 0s
0 0 1.68102 0 23 1.36012 1.68102 23.6% - 0s
0 0 1.67971 0 22 1.36012 1.67971 23.5% - 0s
0 0 1.67902 0 22 1.36012 1.67902 23.4% - 0s
0 0 1.67784 0 23 1.36012 1.67784 23.4% - 0s
0 0 1.67761 0 23 1.36012 1.67761 23.3% - 0s
0 0 1.67761 0 21 1.36012 1.67761 23.3% - 0s
0 2 1.67761 0 21 1.36012 1.67761 23.3% - 0s
* 73 19 16 1.4220149 1.46863 3.28% 6.6 0s
Cutting planes:
Gomory: 7
Cover: 3
Implied bound: 8
Clique: 2
MIR: 2
Flow cover: 19
Explored 110 nodes (1037 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.42201 1.36012 1.21922
Optimal solution found (tolerance 1.00e-02)
Best objective 1.422014877861e+00, best bound 1.422039156086e+00, gap 0.0017%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpys8rqksc.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9jdiu6xw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25584
Presolve removed 228 rows and 150 columns
Presolve time: 0.00s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.915718e+00, 204 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91572 0 17 1.25584 1.91572 52.5% - 0s
0 0 1.78025 0 25 1.25584 1.78025 41.8% - 0s
0 0 1.77984 0 25 1.25584 1.77984 41.7% - 0s
0 0 1.76193 0 31 1.25584 1.76193 40.3% - 0s
0 0 1.75907 0 31 1.25584 1.75907 40.1% - 0s
0 0 1.75347 0 34 1.25584 1.75347 39.6% - 0s
0 0 1.75225 0 37 1.25584 1.75225 39.5% - 0s
0 0 1.75208 0 36 1.25584 1.75208 39.5% - 0s
0 0 1.75207 0 37 1.25584 1.75207 39.5% - 0s
0 0 1.75207 0 37 1.25584 1.75207 39.5% - 0s
0 1 1.75207 0 37 1.25584 1.75207 39.5% - 0s
* 94 31 22 1.3363716 1.47948 10.7% 8.4 0s
* 178 0 23 1.3473384 1.39166 3.29% 7.8 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 9
Clique: 2
MIR: 2
Flow cover: 26
Inf proof: 2
Explored 200 nodes (1982 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.34734 1.33637 1.25584
Optimal solution found (tolerance 1.00e-02)
Best objective 1.347338442303e+00, best bound 1.348206043540e+00, gap 0.0644%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp08bnecdz.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoin18rek.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20338
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.860510e+00, 256 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86051 0 20 1.20338 1.86051 54.6% - 0s
0 0 1.71774 0 23 1.20338 1.71774 42.7% - 0s
0 0 1.70998 0 22 1.20338 1.70998 42.1% - 0s
0 0 1.68222 0 33 1.20338 1.68222 39.8% - 0s
0 0 1.60417 0 27 1.20338 1.60417 33.3% - 0s
0 0 1.58437 0 28 1.20338 1.58437 31.7% - 0s
0 0 1.58397 0 31 1.20338 1.58397 31.6% - 0s
0 0 1.57712 0 28 1.20338 1.57712 31.1% - 0s
0 0 1.57712 0 29 1.20338 1.57712 31.1% - 0s
0 0 1.57698 0 33 1.20338 1.57698 31.0% - 0s
0 0 1.57692 0 35 1.20338 1.57692 31.0% - 0s
0 0 1.57362 0 35 1.20338 1.57362 30.8% - 0s
0 0 1.57274 0 36 1.20338 1.57274 30.7% - 0s
0 0 1.57252 0 36 1.20338 1.57252 30.7% - 0s
0 0 1.57251 0 36 1.20338 1.57251 30.7% - 0s
0 0 1.57124 0 36 1.20338 1.57124 30.6% - 0s
0 0 1.57124 0 36 1.20338 1.57124 30.6% - 0s
0 0 1.57093 0 30 1.20338 1.57093 30.5% - 0s
0 0 1.57093 0 30 1.20338 1.57093 30.5% - 0s
0 0 1.57093 0 30 1.20338 1.57093 30.5% - 0s
0 0 1.57093 0 28 1.20338 1.57093 30.5% - 0s
0 2 1.57093 0 28 1.20338 1.57093 30.5% - 0s
* 108 32 23 1.3041887 1.36193 4.43% 12.2 0s
Cutting planes:
Gomory: 11
Cover: 3
Implied bound: 10
MIR: 4
Flow cover: 30
Explored 167 nodes (2358 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.30419 1.20338
Optimal solution found (tolerance 1.00e-02)
Best objective 1.304188706204e+00, best bound 1.316791904339e+00, gap 0.9664%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpelm6caqs.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfk92_0k4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20825
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.727064e+00, 260 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72706 0 21 1.20825 1.72706 42.9% - 0s
0 0 1.50375 0 24 1.20825 1.50375 24.5% - 0s
0 0 1.49659 0 21 1.20825 1.49659 23.9% - 0s
0 0 1.47474 0 23 1.20825 1.47474 22.1% - 0s
0 0 1.46750 0 19 1.20825 1.46750 21.5% - 0s
0 0 1.46347 0 24 1.20825 1.46347 21.1% - 0s
0 0 1.46274 0 24 1.20825 1.46274 21.1% - 0s
0 0 1.45262 0 24 1.20825 1.45262 20.2% - 0s
0 0 1.45006 0 25 1.20825 1.45006 20.0% - 0s
0 0 1.44929 0 25 1.20825 1.44929 19.9% - 0s
0 0 1.44929 0 25 1.20825 1.44929 19.9% - 0s
0 0 1.44744 0 27 1.20825 1.44744 19.8% - 0s
0 0 1.44668 0 28 1.20825 1.44668 19.7% - 0s
0 0 1.44667 0 30 1.20825 1.44667 19.7% - 0s
0 0 1.44530 0 30 1.20825 1.44530 19.6% - 0s
0 0 1.44530 0 30 1.20825 1.44530 19.6% - 0s
0 0 1.44530 0 31 1.20825 1.44530 19.6% - 0s
0 0 1.44530 0 31 1.20825 1.44530 19.6% - 0s
0 2 1.44530 0 29 1.20825 1.44530 19.6% - 0s
Cutting planes:
Gomory: 14
Cover: 5
Implied bound: 5
Clique: 3
MIR: 7
Flow cover: 28
Explored 122 nodes (1770 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.20825
Optimal solution found (tolerance 1.00e-02)
Best objective 1.208250256337e+00, best bound 1.208250256337e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpig1424u8.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxqm6557u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12054
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.678321e+00, 291 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.67832 0 25 1.12054 1.67832 49.8% - 0s
0 0 1.54317 0 24 1.12054 1.54317 37.7% - 0s
0 0 1.54317 0 24 1.12054 1.54317 37.7% - 0s
0 0 1.51798 0 34 1.12054 1.51798 35.5% - 0s
0 0 1.44966 0 27 1.12054 1.44966 29.4% - 0s
0 0 1.44953 0 27 1.12054 1.44953 29.4% - 0s
0 0 1.43322 0 32 1.12054 1.43322 27.9% - 0s
0 0 1.42534 0 35 1.12054 1.42534 27.2% - 0s
0 0 1.42522 0 32 1.12054 1.42522 27.2% - 0s
0 0 1.42181 0 37 1.12054 1.42181 26.9% - 0s
0 0 1.42127 0 37 1.12054 1.42127 26.8% - 0s
0 0 1.42125 0 40 1.12054 1.42125 26.8% - 0s
0 0 1.42037 0 32 1.12054 1.42037 26.8% - 0s
0 0 1.42037 0 32 1.12054 1.42037 26.8% - 0s
0 0 1.42028 0 35 1.12054 1.42028 26.8% - 0s
0 0 1.42028 0 29 1.12054 1.42028 26.8% - 0s
0 2 1.42028 0 29 1.12054 1.42028 26.8% - 0s
* 246 73 30 1.1271924 1.28280 13.8% 8.0 0s
* 415 96 32 1.1503577 1.24890 8.57% 7.9 0s
* 501 80 30 1.1599421 1.23431 6.41% 8.0 0s
H 524 48 1.1704105 1.23402 5.43% 8.0 0s
Cutting planes:
Gomory: 14
Cover: 3
Implied bound: 24
MIR: 3
Flow cover: 30
Inf proof: 6
Explored 678 nodes (5991 simplex iterations) in 0.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.17041 1.15994 1.15036 ... 1.12054
Optimal solution found (tolerance 1.00e-02)
Best objective 1.170410467403e+00, best bound 1.170410467403e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuhqnkjql.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf65ajx7f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08116
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.596056e+00, 341 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59606 0 28 1.08116 1.59606 47.6% - 0s
0 0 1.46396 0 27 1.08116 1.46396 35.4% - 0s
0 0 1.46391 0 29 1.08116 1.46391 35.4% - 0s
0 0 1.43451 0 39 1.08116 1.43451 32.7% - 0s
0 0 1.37325 0 32 1.08116 1.37325 27.0% - 0s
0 0 1.35399 0 31 1.08116 1.35399 25.2% - 0s
0 0 1.35139 0 38 1.08116 1.35139 25.0% - 0s
0 0 1.34511 0 32 1.08116 1.34511 24.4% - 0s
0 0 1.34469 0 36 1.08116 1.34469 24.4% - 0s
0 0 1.34446 0 42 1.08116 1.34446 24.4% - 0s
0 0 1.34193 0 42 1.08116 1.34193 24.1% - 0s
0 0 1.34109 0 42 1.08116 1.34109 24.0% - 0s
0 0 1.34109 0 38 1.08116 1.34109 24.0% - 0s
0 2 1.34109 0 38 1.08116 1.34109 24.0% - 0s
* 168 57 34 1.1009237 1.20229 9.21% 8.6 0s
Cutting planes:
Gomory: 17
Cover: 3
Implied bound: 18
MIR: 5
Flow cover: 32
Inf proof: 8
Explored 1310 nodes (11805 simplex iterations) in 0.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.10092 1.08116
Optimal solution found (tolerance 1.00e-02)
Best objective 1.100923681637e+00, best bound 1.100923681637e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3_krl111.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptnhztw47.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00907
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.588991e+00, 340 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58899 0 30 1.00907 1.58899 57.5% - 0s
0 0 1.46402 0 29 1.00907 1.46402 45.1% - 0s
0 0 1.46398 0 29 1.00907 1.46398 45.1% - 0s
0 0 1.44799 0 41 1.00907 1.44799 43.5% - 0s
0 0 1.38751 0 33 1.00907 1.38751 37.5% - 0s
0 0 1.37469 0 36 1.00907 1.37469 36.2% - 0s
0 0 1.36978 0 42 1.00907 1.36978 35.7% - 0s
0 0 1.36975 0 38 1.00907 1.36975 35.7% - 0s
0 0 1.36257 0 45 1.00907 1.36257 35.0% - 0s
0 0 1.36240 0 45 1.00907 1.36240 35.0% - 0s
0 0 1.36211 0 45 1.00907 1.36211 35.0% - 0s
0 0 1.36144 0 45 1.00907 1.36144 34.9% - 0s
0 0 1.35240 0 42 1.00907 1.35240 34.0% - 0s
0 0 1.35240 0 42 1.00907 1.35240 34.0% - 0s
0 0 1.35136 0 43 1.00907 1.35136 33.9% - 0s
0 0 1.35136 0 39 1.00907 1.35136 33.9% - 0s
0 2 1.35136 0 39 1.00907 1.35136 33.9% - 0s
* 343 129 36 1.0136969 1.22303 20.7% 6.0 0s
* 706 157 38 1.1031218 1.18945 7.83% 5.9 0s
Cutting planes:
Gomory: 16
Cover: 8
Implied bound: 13
Clique: 1
MIR: 4
Flow cover: 40
Inf proof: 16
Explored 1514 nodes (10825 simplex iterations) in 0.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.10312 1.0137 1.00907
Optimal solution found (tolerance 1.00e-02)
Best objective 1.103121750047e+00, best bound 1.103121750047e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp448rreal.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn04lww3t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00249
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.559701e+00, 364 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55970 0 35 1.00249 1.55970 55.6% - 0s
0 0 1.43459 0 32 1.00249 1.43459 43.1% - 0s
0 0 1.42000 0 41 1.00249 1.42000 41.6% - 0s
0 0 1.36518 0 38 1.00249 1.36518 36.2% - 0s
0 0 1.35190 0 34 1.00249 1.35190 34.9% - 0s
0 0 1.34696 0 40 1.00249 1.34696 34.4% - 0s
0 0 1.34399 0 42 1.00249 1.34399 34.1% - 0s
0 0 1.34398 0 42 1.00249 1.34398 34.1% - 0s
0 0 1.34295 0 48 1.00249 1.34295 34.0% - 0s
0 0 1.34295 0 47 1.00249 1.34295 34.0% - 0s
0 0 1.34295 0 47 1.00249 1.34295 34.0% - 0s
0 0 1.34295 0 45 1.00249 1.34295 34.0% - 0s
0 2 1.34295 0 45 1.00249 1.34295 34.0% - 0s
* 683 200 46 1.0543052 1.18377 12.3% 9.1 0s
* 769 209 41 1.0628372 1.18057 11.1% 8.7 0s
H 4037 153 1.0628372 1.09639 3.16% 9.3 3s
Cutting planes:
Gomory: 27
Cover: 8
Implied bound: 3
Projected implied bound: 18
MIR: 10
Flow cover: 28
Inf proof: 17
Explored 4125 nodes (38775 simplex iterations) in 3.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.06284 1.06284 1.05431 1.00249
Optimal solution found (tolerance 1.00e-02)
Best objective 1.062837232288e+00, best bound 1.071425010476e+00, gap 0.8080%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfhr_s2up.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi1o9r1v4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00055
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.476296e+00, 381 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47630 0 38 1.00055 1.47630 47.5% - 0s
0 0 1.35559 0 35 1.00055 1.35559 35.5% - 0s
0 0 1.35559 0 35 1.00055 1.35559 35.5% - 0s
0 0 1.34550 0 49 1.00055 1.34550 34.5% - 0s
0 0 1.29148 0 38 1.00055 1.29148 29.1% - 0s
0 0 1.28077 0 41 1.00055 1.28077 28.0% - 0s
0 0 1.27730 0 40 1.00055 1.27730 27.7% - 0s
0 0 1.27687 0 46 1.00055 1.27687 27.6% - 0s
0 0 1.27675 0 44 1.00055 1.27675 27.6% - 0s
0 0 1.27478 0 50 1.00055 1.27478 27.4% - 0s
0 0 1.27468 0 50 1.00055 1.27468 27.4% - 0s
0 0 1.26899 0 45 1.00055 1.26899 26.8% - 0s
0 0 1.26866 0 46 1.00055 1.26866 26.8% - 0s
0 0 1.26866 0 42 1.00055 1.26866 26.8% - 0s
0 2 1.26866 0 42 1.00055 1.26866 26.8% - 0s
Cutting planes:
Gomory: 15
Cover: 18
Implied bound: 51
MIR: 7
Flow cover: 38
Inf proof: 41
Explored 5407 nodes (46373 simplex iterations) in 3.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00055
Optimal solution found (tolerance 1.00e-02)
Best objective 1.000545275895e+00, best bound 1.008859430670e+00, gap 0.8310%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw0vlo_ue.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzx6atxe9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.941769
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.438691e+00, 407 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43869 0 44 0.94177 1.43869 52.8% - 0s
0 0 1.31866 0 41 0.94177 1.31866 40.0% - 0s
0 0 1.31866 0 41 0.94177 1.31866 40.0% - 0s
0 0 1.30674 0 52 0.94177 1.30674 38.8% - 0s
0 0 1.26293 0 44 0.94177 1.26293 34.1% - 0s
0 0 1.24457 0 49 0.94177 1.24457 32.2% - 0s
0 0 1.23996 0 55 0.94177 1.23996 31.7% - 0s
0 0 1.23724 0 56 0.94177 1.23724 31.4% - 0s
0 0 1.23721 0 57 0.94177 1.23721 31.4% - 0s
0 0 1.23448 0 66 0.94177 1.23448 31.1% - 0s
0 0 1.23448 0 65 0.94177 1.23448 31.1% - 0s
0 0 1.23393 0 64 0.94177 1.23393 31.0% - 0s
0 0 1.23393 0 58 0.94177 1.23393 31.0% - 0s
0 2 1.23393 0 58 0.94177 1.23393 31.0% - 0s
H 2886 358 0.9666389 1.02004 5.52% 10.4 3s
Cutting planes:
Gomory: 34
Cover: 3
Implied bound: 11
Projected implied bound: 17
MIR: 5
Flow cover: 35
Inf proof: 26
Explored 4292 nodes (44357 simplex iterations) in 4.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.966639 0.941769
Optimal solution found (tolerance 1.00e-02)
Best objective 9.666389364852e-01, best bound 9.760155235958e-01, gap 0.9700%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxofh1r8v.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpipluyt67.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884113
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.415590e+00, 461 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41559 0 45 0.88411 1.41559 60.1% - 0s
0 0 1.29714 0 42 0.88411 1.29714 46.7% - 0s
0 0 1.28561 0 67 0.88411 1.28561 45.4% - 0s
0 0 1.23874 0 52 0.88411 1.23874 40.1% - 0s
0 0 1.22024 0 56 0.88411 1.22024 38.0% - 0s
0 0 1.21901 0 66 0.88411 1.21901 37.9% - 0s
0 0 1.21646 0 70 0.88411 1.21646 37.6% - 0s
0 0 1.21646 0 70 0.88411 1.21646 37.6% - 0s
0 0 1.21410 0 74 0.88411 1.21410 37.3% - 0s
0 0 1.21410 0 74 0.88411 1.21410 37.3% - 0s
0 0 1.21352 0 75 0.88411 1.21352 37.3% - 0s
0 0 1.21352 0 64 0.88411 1.21352 37.3% - 0s
0 2 1.21352 0 63 0.88411 1.21352 37.3% - 0s
* 2574 448 73 0.9264585 1.02303 10.4% 13.0 4s
3400 203 0.95474 36 28 0.92646 0.97058 4.76% 13.2 5s
H 3523 204 0.9274526 0.97058 4.65% 13.1 5s
* 4157 0 60 0.9330611 0.94327 1.09% 12.8 5s
* 4182 2 58 0.9353026 0.94226 0.74% 12.8 5s
Cutting planes:
Gomory: 46
Cover: 7
Implied bound: 15
Projected implied bound: 26
Clique: 1
MIR: 7
Flow cover: 44
Inf proof: 25
Explored 4270 nodes (55258 simplex iterations) in 5.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.935303 0.933061 0.927453 ... 0.884113
Optimal solution found (tolerance 1.00e-02)
Best objective 9.353025673914e-01, best bound 9.373278837415e-01, gap 0.2165%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpup1wby2g.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvssd9ohn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.922587
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.390194e+00, 460 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39019 0 46 0.92259 1.39019 50.7% - 0s
0 0 1.27441 0 49 0.92259 1.27441 38.1% - 0s
0 0 1.27441 0 49 0.92259 1.27441 38.1% - 0s
0 0 1.26543 0 61 0.92259 1.26543 37.2% - 0s
0 0 1.24842 0 67 0.92259 1.24842 35.3% - 0s
0 0 1.21075 0 65 0.92259 1.21075 31.2% - 0s
0 0 1.20355 0 68 0.92259 1.20355 30.5% - 0s
0 0 1.20355 0 68 0.92259 1.20355 30.5% - 0s
0 0 1.20207 0 70 0.92259 1.20207 30.3% - 0s
0 0 1.20187 0 71 0.92259 1.20187 30.3% - 0s
0 0 1.20187 0 71 0.92259 1.20187 30.3% - 0s
0 0 1.20175 0 73 0.92259 1.20175 30.3% - 0s
0 0 1.20175 0 65 0.92259 1.20175 30.3% - 0s
0 2 1.20175 0 65 0.92259 1.20175 30.3% - 0s
3942 456 0.93575 47 28 0.92259 1.00238 8.65% 12.5 5s
Cutting planes:
Gomory: 45
Cover: 12
Implied bound: 18
Projected implied bound: 26
MIR: 14
Flow cover: 60
Inf proof: 47
Explored 5891 nodes (76195 simplex iterations) in 7.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.922587
Optimal solution found (tolerance 1.00e-02)
Best objective 9.225866809168e-01, best bound 9.225866809168e-01, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp52m1lmg6.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpacuahqvc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.918893
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.396812e+00, 493 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39681 0 47 0.91889 1.39681 52.0% - 0s
0 0 1.28546 0 56 0.91889 1.28546 39.9% - 0s
0 0 1.28539 0 56 0.91889 1.28539 39.9% - 0s
0 0 1.27982 0 62 0.91889 1.27982 39.3% - 0s
0 0 1.27797 0 62 0.91889 1.27797 39.1% - 0s
0 0 1.27730 0 66 0.91889 1.27730 39.0% - 0s
0 0 1.27729 0 67 0.91889 1.27729 39.0% - 0s
0 0 1.27727 0 68 0.91889 1.27727 39.0% - 0s
0 0 1.27727 0 68 0.91889 1.27727 39.0% - 0s
0 0 1.27727 0 68 0.91889 1.27727 39.0% - 0s
0 0 1.27727 0 61 0.91889 1.27727 39.0% - 0s
0 2 1.27727 0 61 0.91889 1.27727 39.0% - 0s
H 3497 586 0.9262871 1.00544 8.55% 13.1 4s
3703 589 0.97518 29 58 0.92629 1.00024 7.98% 13.2 5s
H 4568 607 0.9268491 0.98569 6.35% 13.8 6s
* 6501 507 73 0.9278233 0.95185 2.59% 13.0 8s
* 6545 466 74 0.9297958 0.95185 2.37% 13.0 8s
H 7074 349 0.9297958 0.94378 1.50% 12.9 9s
Cutting planes:
Gomory: 42
Cover: 12
Implied bound: 16
Projected implied bound: 13
Clique: 3
MIR: 8
Flow cover: 48
Inf proof: 52
Explored 7507 nodes (95752 simplex iterations) in 9.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.929796 0.929796 0.927823 ... 0.918893
Optimal solution found (tolerance 1.00e-02)
Best objective 9.297958390925e-01, best bound 9.371095892455e-01, gap 0.7866%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6zqh452y.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk7_rvlx8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.915286
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.371045e+00, 517 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37105 0 51 0.91529 1.37105 49.8% - 0s
0 0 1.26276 0 55 0.91529 1.26276 38.0% - 0s
0 0 1.23803 0 63 0.91529 1.23803 35.3% - 0s
0 0 1.23751 0 65 0.91529 1.23751 35.2% - 0s
0 0 1.23446 0 69 0.91529 1.23446 34.9% - 0s
0 0 1.23419 0 70 0.91529 1.23419 34.8% - 0s
0 0 1.23238 0 77 0.91529 1.23238 34.6% - 0s
0 0 1.23223 0 77 0.91529 1.23223 34.6% - 0s
0 0 1.23178 0 77 0.91529 1.23178 34.6% - 0s
0 0 1.23178 0 64 0.91529 1.23178 34.6% - 0s
0 2 1.23178 0 64 0.91529 1.23178 34.6% - 0s
3269 509 infeasible 39 0.91529 0.97542 6.57% 15.1 5s
Cutting planes:
Gomory: 48
Cover: 6
Implied bound: 19
Projected implied bound: 17
Clique: 6
MIR: 8
Flow cover: 59
Inf proof: 41
Explored 5828 nodes (83179 simplex iterations) in 7.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.915286
Optimal solution found (tolerance 1.00e-02)
Best objective 9.152861619785e-01, best bound 9.225913516683e-01, gap 0.7981%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoolr4dc5.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1f9cbk1m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.886604
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.315191e+00, 540 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31519 0 52 0.88660 1.31519 48.3% - 0s
0 0 1.22125 0 64 0.88660 1.22125 37.7% - 0s
0 0 1.22125 0 64 0.88660 1.22125 37.7% - 0s
0 0 1.18922 0 77 0.88660 1.18922 34.1% - 0s
0 0 1.18706 0 72 0.88660 1.18706 33.9% - 0s
0 0 1.18313 0 71 0.88660 1.18313 33.4% - 0s
0 0 1.18310 0 72 0.88660 1.18310 33.4% - 0s
0 0 1.18296 0 68 0.88660 1.18296 33.4% - 0s
0 0 1.18296 0 60 0.88660 1.18296 33.4% - 0s
0 2 1.18296 0 60 0.88660 1.18296 33.4% - 0s
3042 440 0.90313 28 56 0.88660 0.94627 6.73% 13.6 5s
Cutting planes:
Gomory: 56
Cover: 6
Implied bound: 15
Projected implied bound: 11
Clique: 3
MIR: 7
Flow cover: 48
Inf proof: 34
Explored 5430 nodes (71536 simplex iterations) in 7.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.886604
Optimal solution found (tolerance 1.00e-02)
Best objective 8.866037248069e-01, best bound 8.928727002884e-01, gap 0.7071%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj0ycaw5m.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmuct4h54.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.894215
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.321405e+00, 560 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32141 0 55 0.89422 1.32141 47.8% - 0s
0 0 1.22286 0 74 0.89422 1.22286 36.8% - 0s
0 0 1.22286 0 74 0.89422 1.22286 36.8% - 0s
0 0 1.17497 0 80 0.89422 1.17497 31.4% - 0s
0 0 1.16882 0 79 0.89422 1.16882 30.7% - 0s
0 0 1.16271 0 83 0.89422 1.16271 30.0% - 0s
0 0 1.16017 0 85 0.89422 1.16017 29.7% - 0s
0 0 1.15834 0 95 0.89422 1.15834 29.5% - 0s
0 0 1.15834 0 95 0.89422 1.15834 29.5% - 0s
0 0 1.15765 0 90 0.89422 1.15765 29.5% - 0s
0 0 1.15765 0 73 0.89422 1.15765 29.5% - 0s
0 2 1.15765 0 72 0.89422 1.15765 29.5% - 0s
2914 817 cutoff 25 0.89422 0.99515 11.3% 14.2 5s
Cutting planes:
Gomory: 58
Cover: 3
Implied bound: 13
Projected implied bound: 16
Clique: 2
MIR: 15
Flow cover: 59
Inf proof: 35
Explored 7671 nodes (107340 simplex iterations) in 9.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.894215
Optimal solution found (tolerance 1.00e-02)
Best objective 8.942153609211e-01, best bound 9.014924342653e-01, gap 0.8138%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn99pmiy5.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj9c286dy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.875148
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.322878e+00, 622 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32288 0 56 0.87515 1.32288 51.2% - 0s
0 0 1.23513 0 68 0.87515 1.23513 41.1% - 0s
0 0 1.23513 0 68 0.87515 1.23513 41.1% - 0s
0 0 1.19231 0 74 0.87515 1.19231 36.2% - 0s
0 0 1.18830 0 71 0.87515 1.18830 35.8% - 0s
0 0 1.18149 0 79 0.87515 1.18149 35.0% - 0s
0 0 1.17940 0 89 0.87515 1.17940 34.8% - 0s
0 0 1.16449 0 97 0.87515 1.16449 33.1% - 0s
0 0 1.16447 0 97 0.87515 1.16447 33.1% - 0s
0 0 1.16386 0 93 0.87515 1.16386 33.0% - 0s
0 0 1.16386 0 81 0.87515 1.16386 33.0% - 0s
0 2 1.16386 0 81 0.87515 1.16386 33.0% - 0s
2824 981 cutoff 49 0.87515 1.01145 15.6% 15.5 5s
H 3891 1213 0.8751481 0.99235 13.4% 16.5 7s
5524 1394 cutoff 34 0.87515 0.97264 11.1% 17.8 10s
9465 1179 0.91980 43 49 0.87515 0.92576 5.78% 17.4 15s
13721 830 infeasible 67 0.87515 0.89799 2.61% 16.1 20s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 35
Projected implied bound: 18
Clique: 2
MIR: 9
Flow cover: 71
Inf proof: 104
Explored 15514 nodes (244258 simplex iterations) in 21.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.875148 0.875148
Optimal solution found (tolerance 1.00e-02)
Best objective 8.751481038869e-01, best bound 8.836862415547e-01, gap 0.9756%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpp1v6gm1e.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpamx50xkk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.866333
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.300611e+00, 618 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30061 0 56 0.86633 1.30061 50.1% - 0s
0 0 1.21993 0 69 0.86633 1.21993 40.8% - 0s
0 0 1.21993 0 69 0.86633 1.21993 40.8% - 0s
0 0 1.17988 0 79 0.86633 1.17988 36.2% - 0s
0 0 1.17587 0 75 0.86633 1.17587 35.7% - 0s
0 0 1.16963 0 78 0.86633 1.16963 35.0% - 0s
0 0 1.16779 0 83 0.86633 1.16779 34.8% - 0s
0 0 1.15397 0 84 0.86633 1.15397 33.2% - 0s
0 0 1.15397 0 85 0.86633 1.15397 33.2% - 0s
0 0 1.15289 0 84 0.86633 1.15289 33.1% - 0s
0 0 1.15168 0 87 0.86633 1.15168 32.9% - 0s
0 0 1.15112 0 83 0.86633 1.15112 32.9% - 0s
0 0 1.15107 0 88 0.86633 1.15107 32.9% - 0s
0 0 1.15040 0 91 0.86633 1.15040 32.8% - 0s
0 0 1.15040 0 79 0.86633 1.15040 32.8% - 0s
0 2 1.15040 0 79 0.86633 1.15040 32.8% - 0s
2242 732 1.01146 30 78 0.86633 1.01919 17.6% 15.1 5s
H 4184 1133 0.8663328 0.98577 13.8% 16.6 8s
4963 1216 infeasible 28 0.86633 0.97494 12.5% 17.5 10s
8058 1397 0.90968 41 44 0.86633 0.93723 8.18% 18.6 15s
12766 1563 0.90053 42 53 0.86633 0.90546 4.52% 18.0 20s
16831 1392 0.88326 62 28 0.86633 0.88636 2.31% 17.4 25s
21951 872 0.87022 76 23 0.86633 0.87514 1.02% 15.6 30s
Cutting planes:
Learned: 1
Gomory: 66
Cover: 10
Implied bound: 52
Projected implied bound: 21
Clique: 1
MIR: 13
Flow cover: 82
Inf proof: 128
Explored 22137 nodes (344542 simplex iterations) in 30.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.866333 0.866333
Optimal solution found (tolerance 1.00e-02)
Best objective 8.663328340254e-01, best bound 8.747578065889e-01, gap 0.9725%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp62xlqb40.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_1_tvb7o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870404
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.298018e+00, 612 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29802 0 59 0.87040 1.29802 49.1% - 0s
0 0 1.21263 0 73 0.87040 1.21263 39.3% - 0s
0 0 1.21263 0 73 0.87040 1.21263 39.3% - 0s
0 0 1.17287 0 78 0.87040 1.17287 34.7% - 0s
0 0 1.16924 0 78 0.87040 1.16924 34.3% - 0s
0 0 1.16349 0 86 0.87040 1.16349 33.7% - 0s
0 0 1.16167 0 94 0.87040 1.16167 33.5% - 0s
0 0 1.14797 0 94 0.87040 1.14797 31.9% - 0s
0 0 1.14797 0 93 0.87040 1.14797 31.9% - 0s
0 0 1.14770 0 89 0.87040 1.14770 31.9% - 0s
0 0 1.14660 0 92 0.87040 1.14660 31.7% - 0s
0 0 1.14634 0 94 0.87040 1.14634 31.7% - 0s
0 0 1.14634 0 94 0.87040 1.14634 31.7% - 0s
0 0 1.14613 0 88 0.87040 1.14613 31.7% - 0s
0 0 1.14613 0 79 0.87040 1.14613 31.7% - 0s
0 2 1.14613 0 79 0.87040 1.14613 31.7% - 0s
1993 545 0.95735 21 83 0.87040 1.00440 15.4% 18.0 5s
5515 1254 infeasible 34 0.87040 0.94810 8.93% 21.4 10s
9628 1520 0.91329 58 42 0.87040 0.92015 5.71% 20.7 15s
H13134 1610 0.8704038 0.90521 4.00% 20.0 19s
13191 1538 cutoff 46 0.87040 0.90490 3.96% 20.0 20s
H14291 1460 0.8704038 0.90015 3.42% 19.9 21s
16256 1125 0.88689 43 38 0.87040 0.89172 2.45% 19.7 25s
Cutting planes:
Gomory: 54
Cover: 2
Implied bound: 38
Projected implied bound: 22
Clique: 2
MIR: 5
Flow cover: 82
Inf proof: 124
Explored 20065 nodes (371517 simplex iterations) in 29.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.870404 0.870404 0.870404
Optimal solution found (tolerance 1.00e-02)
Best objective 8.704038019596e-01, best bound 8.784750336823e-01, gap 0.9273%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd6chsglm.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3sjpr6fm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.873664
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.288923e+00, 701 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28892 0 64 0.87366 1.28892 47.5% - 0s
0 0 1.16310 0 81 0.87366 1.16310 33.1% - 0s
0 0 1.15399 0 88 0.87366 1.15399 32.1% - 0s
0 0 1.15288 0 87 0.87366 1.15288 32.0% - 0s
0 0 1.14845 0 84 0.87366 1.14845 31.5% - 0s
0 0 1.14796 0 85 0.87366 1.14796 31.4% - 0s
0 0 1.14552 0 94 0.87366 1.14552 31.1% - 0s
0 0 1.14551 0 89 0.87366 1.14551 31.1% - 0s
0 0 1.14539 0 92 0.87366 1.14539 31.1% - 0s
0 0 1.14539 0 83 0.87366 1.14539 31.1% - 0s
0 2 1.14539 0 83 0.87366 1.14539 31.1% - 0s
1900 541 0.95026 28 72 0.87366 1.00761 15.3% 18.2 5s
4955 1075 0.91471 31 80 0.87366 0.95244 9.02% 19.8 10s
H 8097 1265 0.8736641 0.92336 5.69% 18.7 14s
8629 1261 0.91074 58 45 0.87366 0.92014 5.32% 18.4 15s
13762 1653 0.89987 60 53 0.87366 0.90023 3.04% 16.3 20s
18095 639 infeasible 40 0.87366 0.88568 1.37% 15.8 25s
Cutting planes:
Gomory: 59
Cover: 5
Implied bound: 21
Projected implied bound: 20
Clique: 3
MIR: 10
Flow cover: 55
Inf proof: 97
Explored 18567 nodes (294490 simplex iterations) in 25.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.873664 0.873664
Optimal solution found (tolerance 1.00e-02)
Best objective 8.736641354619e-01, best bound 8.823017080392e-01, gap 0.9887%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5hg2ucfm.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjqn3jwin.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864149
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.269137e+00, 679 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26914 0 67 0.86415 1.26914 46.9% - 0s
0 0 1.15741 0 94 0.86415 1.15741 33.9% - 0s
0 0 1.15741 0 94 0.86415 1.15741 33.9% - 0s
0 0 1.14688 0 99 0.86415 1.14688 32.7% - 0s
0 0 1.14558 0 100 0.86415 1.14558 32.6% - 0s
0 0 1.14039 0 105 0.86415 1.14039 32.0% - 0s
0 0 1.14027 0 107 0.86415 1.14027 32.0% - 0s
0 0 1.13806 0 105 0.86415 1.13806 31.7% - 0s
0 0 1.13806 0 105 0.86415 1.13806 31.7% - 0s
0 0 1.13778 0 103 0.86415 1.13778 31.7% - 0s
0 0 1.13778 0 89 0.86415 1.13778 31.7% - 0s
0 2 1.13778 0 88 0.86415 1.13778 31.7% - 0s
1902 529 0.90056 20 73 0.86415 1.00180 15.9% 19.3 5s
5777 1527 cutoff 38 0.86415 0.93199 7.85% 16.9 10s
9655 1768 infeasible 26 0.86415 0.90750 5.02% 16.3 15s
H13238 2269 0.8641493 0.89556 3.63% 15.7 19s
13607 2190 infeasible 43 0.86415 0.89452 3.51% 15.7 20s
17179 2091 0.86964 60 28 0.86415 0.88758 2.71% 15.2 25s
21425 826 0.87197 61 42 0.86415 0.87436 1.18% 15.0 30s
Cutting planes:
Gomory: 61
Cover: 5
Implied bound: 32
Projected implied bound: 17
Clique: 2
MIR: 12
Flow cover: 76
Inf proof: 139
Explored 21933 nodes (329998 simplex iterations) in 30.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.864149 0.864149
Optimal solution found (tolerance 1.00e-02)
Best objective 8.641493289800e-01, best bound 8.723105882309e-01, gap 0.9444%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpigsdomii.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8bjur5ko.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.839384
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.229022e+00, 718 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22902 0 68 0.83938 1.22902 46.4% - 0s
0 0 1.15775 0 89 0.83938 1.15775 37.9% - 0s
0 0 1.15775 0 89 0.83938 1.15775 37.9% - 0s
0 0 1.12345 0 90 0.83938 1.12345 33.8% - 0s
0 0 1.12044 0 92 0.83938 1.12044 33.5% - 0s
0 0 1.11457 0 104 0.83938 1.11457 32.8% - 0s
0 0 1.11307 0 113 0.83938 1.11307 32.6% - 0s
0 0 1.11091 0 109 0.83938 1.11091 32.3% - 0s
0 0 1.11039 0 107 0.83938 1.11039 32.3% - 0s
0 0 1.10921 0 108 0.83938 1.10921 32.1% - 0s
0 0 1.10902 0 109 0.83938 1.10902 32.1% - 0s
0 0 1.10726 0 112 0.83938 1.10726 31.9% - 0s
0 0 1.10664 0 112 0.83938 1.10664 31.8% - 0s
0 0 1.10662 0 112 0.83938 1.10662 31.8% - 0s
0 0 1.10662 0 94 0.83938 1.10662 31.8% - 0s
0 2 1.10662 0 91 0.83938 1.10662 31.8% - 0s
1024 557 0.95239 30 74 0.83938 0.97773 16.5% 20.9 5s
3480 1095 cutoff 25 0.83938 0.97138 15.7% 24.1 10s
5742 1262 0.87965 28 76 0.83938 0.92223 9.87% 25.1 15s
8397 1243 0.87522 32 76 0.83938 0.89708 6.87% 24.2 20s
11499 1074 0.86703 36 57 0.83938 0.87257 3.95% 23.1 25s
14914 1286 infeasible 68 0.83938 0.86296 2.81% 20.8 30s
Cutting planes:
Gomory: 72
Cover: 6
Implied bound: 27
Projected implied bound: 19
Clique: 2
MIR: 9
Flow cover: 86
Inf proof: 123
Explored 19340 nodes (372276 simplex iterations) in 34.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.839384
Optimal solution found (tolerance 1.00e-02)
Best objective 8.393835038666e-01, best bound 8.474749630140e-01, gap 0.9640%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpax7a_2ih.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpai4zn2o1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.834416
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.201095e+00, 730 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20109 0 74 0.83442 1.20109 43.9% - 0s
0 0 1.15628 0 83 0.83442 1.15628 38.6% - 0s
0 0 1.11085 0 90 0.83442 1.11085 33.1% - 0s
0 0 1.11052 0 91 0.83442 1.11052 33.1% - 0s
0 0 1.10587 0 100 0.83442 1.10587 32.5% - 0s
0 0 1.10554 0 102 0.83442 1.10554 32.5% - 0s
0 0 1.10357 0 115 0.83442 1.10357 32.3% - 0s
0 0 1.10333 0 113 0.83442 1.10333 32.2% - 0s
0 0 1.09488 0 113 0.83442 1.09488 31.2% - 0s
0 0 1.09450 0 107 0.83442 1.09450 31.2% - 0s
0 0 1.09432 0 114 0.83442 1.09432 31.1% - 0s
0 0 1.09430 0 112 0.83442 1.09430 31.1% - 0s
0 0 1.09413 0 114 0.83442 1.09413 31.1% - 0s
0 0 1.09412 0 114 0.83442 1.09412 31.1% - 0s
0 0 1.09410 0 114 0.83442 1.09410 31.1% - 0s
0 0 1.09410 0 104 0.83442 1.09410 31.1% - 0s
0 2 1.09410 0 104 0.83442 1.09410 31.1% - 0s
1604 532 cutoff 28 0.83442 0.95620 14.6% 21.8 5s
5415 942 0.85800 34 57 0.83442 0.88710 6.31% 20.1 10s
H 5509 964 0.8344159 0.88661 6.26% 20.1 10s
10057 1225 infeasible 46 0.83442 0.85998 3.06% 17.3 15s
Cutting planes:
Gomory: 75
Cover: 7
Implied bound: 35
Projected implied bound: 18
Clique: 2
MIR: 20
Flow cover: 81
Inf proof: 86
Explored 14181 nodes (223140 simplex iterations) in 19.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.834416 0.834416
Optimal solution found (tolerance 1.00e-02)
Best objective 8.344159368728e-01, best bound 8.412967208725e-01, gap 0.8246%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvv4horq9.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4wt8tto1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.809934
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.165690e+00, 733 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16569 0 75 0.80993 1.16569 43.9% - 0s
0 0 1.12022 0 95 0.80993 1.12022 38.3% - 0s
0 0 1.12022 0 95 0.80993 1.12022 38.3% - 0s
0 0 1.07901 0 99 0.80993 1.07901 33.2% - 0s
0 0 1.07821 0 97 0.80993 1.07821 33.1% - 0s
0 0 1.07364 0 100 0.80993 1.07364 32.6% - 0s
0 0 1.07350 0 105 0.80993 1.07350 32.5% - 0s
0 0 1.07090 0 118 0.80993 1.07090 32.2% - 0s
0 0 1.07056 0 118 0.80993 1.07056 32.2% - 0s
0 0 1.07041 0 115 0.80993 1.07041 32.2% - 0s
0 0 1.06961 0 113 0.80993 1.06961 32.1% - 0s
0 0 1.06262 0 105 0.80993 1.06262 31.2% - 0s
0 0 1.06192 0 108 0.80993 1.06192 31.1% - 0s
0 0 1.06165 0 109 0.80993 1.06165 31.1% - 0s
0 0 1.06159 0 115 0.80993 1.06159 31.1% - 0s
0 0 1.06159 0 115 0.80993 1.06159 31.1% - 0s
0 0 1.06159 0 115 0.80993 1.06159 31.1% - 0s
0 0 1.06148 0 116 0.80993 1.06148 31.1% - 0s
0 0 1.06148 0 110 0.80993 1.06148 31.1% - 0s
0 2 1.06148 0 107 0.80993 1.06148 31.1% - 0s
1743 738 0.84597 38 79 0.80993 0.96087 18.6% 19.5 5s
5239 1752 0.89048 37 78 0.80993 0.90747 12.0% 19.8 10s
H 7928 2399 0.8099338 0.89209 10.1% 19.8 14s
8172 2393 0.84629 50 64 0.80993 0.89055 10.0% 20.1 15s
10938 2510 0.85448 60 63 0.80993 0.87497 8.03% 20.6 20s
14379 2605 infeasible 35 0.80993 0.85695 5.80% 20.2 25s
17132 2607 infeasible 40 0.80993 0.84868 4.78% 19.8 30s
21063 2739 0.83490 42 76 0.80993 0.84070 3.80% 19.1 35s
21078 2648 infeasible 44 0.80993 0.84058 3.78% 19.1 45s
24429 2410 0.82181 56 52 0.80993 0.83319 2.87% 19.0 50s
28296 1557 cutoff 61 0.80993 0.82467 1.82% 19.0 55s
Cutting planes:
Gomory: 74
Cover: 9
Implied bound: 60
Projected implied bound: 22
Clique: 2
MIR: 27
Flow cover: 108
Inf proof: 180
Explored 30266 nodes (571792 simplex iterations) in 57.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.809934 0.809934
Optimal solution found (tolerance 1.00e-02)
Best objective 8.099337730258e-01, best bound 8.175172666713e-01, gap 0.9363%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ybvvau9.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3q9put7q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.801265
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.150373e+00, 790 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15037 0 76 0.80126 1.15037 43.6% - 0s
0 0 1.10669 0 99 0.80126 1.10669 38.1% - 0s
0 0 1.10669 0 99 0.80126 1.10669 38.1% - 0s
0 0 1.06346 0 107 0.80126 1.06346 32.7% - 0s
0 0 1.06245 0 101 0.80126 1.06245 32.6% - 0s
0 0 1.05801 0 104 0.80126 1.05801 32.0% - 0s
0 0 1.05800 0 108 0.80126 1.05800 32.0% - 0s
0 0 1.05681 0 115 0.80126 1.05681 31.9% - 0s
0 0 1.05646 0 111 0.80126 1.05646 31.8% - 0s
0 0 1.05603 0 115 0.80126 1.05603 31.8% - 0s
0 0 1.05592 0 114 0.80126 1.05592 31.8% - 0s
0 0 1.05550 0 115 0.80126 1.05550 31.7% - 0s
0 0 1.05550 0 115 0.80126 1.05550 31.7% - 0s
0 0 1.05536 0 115 0.80126 1.05536 31.7% - 0s
0 0 1.05536 0 114 0.80126 1.05536 31.7% - 0s
0 0 1.05536 0 96 0.80126 1.05536 31.7% - 0s
0 2 1.05536 0 95 0.80126 1.05536 31.7% - 0s
1995 723 0.82601 51 78 0.80126 0.94863 18.4% 18.0 5s
4660 1172 0.86086 35 89 0.80126 0.89125 11.2% 20.2 10s
H 5385 1242 0.8013711 0.88067 9.90% 20.5 12s
6762 1343 0.83332 39 74 0.80137 0.86500 7.94% 20.5 15s
9444 1670 0.82861 42 75 0.80137 0.85029 6.10% 19.6 20s
H11415 1784 0.8013711 0.84247 5.13% 19.4 23s
*11525 1781 117 0.8017317 0.84247 5.08% 19.3 23s
11918 1766 cutoff 36 0.80173 0.83919 4.67% 19.3 25s
17701 3125 infeasible 71 0.80173 0.82961 3.48% 16.2 30s
22827 2993 infeasible 86 0.80173 0.82214 2.55% 15.1 35s
26532 2136 infeasible 58 0.80173 0.81576 1.75% 14.7 40s
Cutting planes:
Gomory: 49
Cover: 6
Implied bound: 39
Projected implied bound: 22
Clique: 2
MIR: 16
Flow cover: 81
Inf proof: 183
Explored 29057 nodes (422361 simplex iterations) in 43.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.801732 0.801371 0.801371 0.801265
Optimal solution found (tolerance 1.00e-02)
Best objective 8.017317101737e-01, best bound 8.094970544841e-01, gap 0.9686%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp81neoibt.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphcekgz22.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.788527
Presolve removed 564 rows and 366 columns
Presolve time: 0.03s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.130857e+00, 846 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13086 0 79 0.78853 1.13086 43.4% - 0s
0 0 1.08892 0 97 0.78853 1.08892 38.1% - 0s
0 0 1.04727 0 108 0.78853 1.04727 32.8% - 0s
0 0 1.04656 0 106 0.78853 1.04656 32.7% - 0s
0 0 1.04217 0 99 0.78853 1.04217 32.2% - 0s
0 0 1.04190 0 106 0.78853 1.04190 32.1% - 0s
0 0 1.03948 0 120 0.78853 1.03948 31.8% - 0s
0 0 1.03921 0 115 0.78853 1.03921 31.8% - 0s
0 0 1.03568 0 114 0.78853 1.03568 31.3% - 0s
0 0 1.03560 0 113 0.78853 1.03560 31.3% - 0s
0 0 1.03146 0 113 0.78853 1.03146 30.8% - 0s
0 0 1.03085 0 114 0.78853 1.03085 30.7% - 0s
0 0 1.03082 0 117 0.78853 1.03082 30.7% - 0s
0 0 1.03081 0 118 0.78853 1.03081 30.7% - 0s
0 0 1.03081 0 117 0.78853 1.03081 30.7% - 0s
0 0 1.03081 0 117 0.78853 1.03081 30.7% - 0s
0 0 1.03081 0 107 0.78853 1.03081 30.7% - 0s
0 2 1.03081 0 104 0.78853 1.03081 30.7% - 0s
1291 510 0.93042 21 98 0.78853 0.93042 18.0% 23.4 5s
3509 1160 0.83176 27 91 0.78853 0.89804 13.9% 24.6 10s
6085 1662 cutoff 32 0.78853 0.87419 10.9% 25.7 15s
8404 1950 0.79034 66 37 0.78853 0.85963 9.02% 25.8 20s
11635 2179 0.79514 38 65 0.78853 0.84387 7.02% 25.1 25s
H12995 2318 0.7885272 0.83730 6.19% 24.8 28s
13780 2162 0.83300 39 68 0.78853 0.83300 5.64% 24.9 30s
16029 1938 infeasible 53 0.78853 0.82453 4.57% 25.0 35s
19488 1691 0.80559 65 49 0.78853 0.81427 3.26% 24.0 40s
23948 803 0.79029 47 57 0.78853 0.80019 1.48% 22.6 45s
Cutting planes:
Gomory: 74
Cover: 5
Implied bound: 43
Projected implied bound: 22
Clique: 2
MIR: 12
Flow cover: 79
Inf proof: 143
Explored 24513 nodes (550737 simplex iterations) in 45.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.788527 0.788527
Optimal solution found (tolerance 1.00e-02)
Best objective 7.885271618408e-01, best bound 7.961759808808e-01, gap 0.9700%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm_k8jy7n.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd82m8wr2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.771102
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.102171e+00, 843 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10217 0 80 0.77110 1.10217 42.9% - 0s
0 0 1.03436 0 102 0.77110 1.03436 34.1% - 0s
0 0 1.03436 0 102 0.77110 1.03436 34.1% - 0s
0 0 1.02179 0 99 0.77110 1.02179 32.5% - 0s
0 0 1.02177 0 103 0.77110 1.02177 32.5% - 0s
0 0 1.02059 0 94 0.77110 1.02059 32.4% - 0s
0 0 1.01991 0 94 0.77110 1.01991 32.3% - 0s
0 0 1.01916 0 93 0.77110 1.01916 32.2% - 0s
0 0 1.01915 0 93 0.77110 1.01915 32.2% - 0s
0 0 1.01730 0 93 0.77110 1.01730 31.9% - 0s
0 0 1.01721 0 93 0.77110 1.01721 31.9% - 0s
0 0 1.01652 0 98 0.77110 1.01652 31.8% - 0s
0 0 1.01652 0 98 0.77110 1.01652 31.8% - 0s
0 0 1.01644 0 101 0.77110 1.01644 31.8% - 0s
0 0 1.01644 0 101 0.77110 1.01644 31.8% - 0s
0 0 1.01644 0 101 0.77110 1.01644 31.8% - 0s
0 0 1.01644 0 92 0.77110 1.01644 31.8% - 0s
0 2 1.01644 0 92 0.77110 1.01644 31.8% - 0s
1176 669 0.80417 92 62 0.77110 0.93401 21.1% 18.1 5s
H 3248 1344 0.7711023 0.89420 16.0% 20.0 9s
H 3252 1344 0.7712790 0.89420 15.9% 20.0 9s
3327 1365 cutoff 46 0.77128 0.89310 15.8% 20.3 10s
5239 1776 0.79082 45 84 0.77128 0.87357 13.3% 23.3 15s
7596 2222 0.80608 31 98 0.77128 0.86433 12.1% 24.5 20s
9686 2352 cutoff 42 0.77128 0.85823 11.3% 25.8 25s
12119 2574 infeasible 44 0.77128 0.85002 10.2% 26.5 31s
13827 2735 0.80858 49 87 0.77128 0.84573 9.65% 26.4 35s
*14568 2853 123 0.7714050 0.84421 9.44% 26.3 36s
16095 3111 cutoff 51 0.77141 0.84055 8.96% 26.3 40s
18844 3328 cutoff 25 0.77141 0.83416 8.13% 26.4 45s
H20586 3532 0.7715962 0.83033 7.61% 26.3 60s
20603 3544 0.82028 48 163 0.77160 0.83033 7.61% 26.3 65s
20612 3550 0.78886 51 179 0.77160 0.83033 7.61% 26.3 70s
20622 3556 0.81926 52 181 0.77160 0.83033 7.61% 26.3 75s
20632 3563 0.81147 40 194 0.77160 0.83033 7.61% 26.3 80s
20642 3570 0.78838 61 177 0.77160 0.83033 7.61% 26.3 85s
20652 3576 0.81630 45 190 0.77160 0.83033 7.61% 26.2 90s
20663 3584 0.79008 55 193 0.77160 0.83033 7.61% 26.2 95s
20673 3590 0.82550 50 203 0.77160 0.83033 7.61% 26.2 100s
20683 3597 0.80571 50 206 0.77160 0.83033 7.61% 26.2 105s
H20688 3418 0.7717187 0.83033 7.59% 26.2 108s
20692 3421 0.79593 49 204 0.77172 0.83033 7.59% 26.2 110s
20701 3427 0.79129 42 206 0.77172 0.83033 7.59% 26.2 115s
20712 3434 0.78886 51 203 0.77172 0.83033 7.59% 26.2 120s
H20715 3262 0.7717187 0.83033 7.59% 26.2 122s
20721 3266 0.81313 55 207 0.77172 0.83033 7.59% 26.2 125s
20731 3273 0.78042 55 206 0.77172 0.83033 7.59% 26.1 130s
20740 3279 0.79993 45 208 0.77172 0.83033 7.59% 26.1 135s
20748 3286 0.83033 26 207 0.77172 0.83033 7.59% 27.1 142s
20750 3287 0.83033 27 205 0.77172 0.83033 7.59% 27.1 145s
20757 3285 infeasible 29 0.77172 0.83033 7.59% 27.2 150s
H20777 3120 0.7717187 0.83033 7.59% 27.3 152s
20840 3127 0.80249 42 169 0.77172 0.83033 7.59% 27.4 155s
21080 3134 cutoff 39 0.77172 0.83033 7.59% 28.6 160s
21437 3143 0.77437 37 162 0.77172 0.83033 7.59% 30.0 165s
21972 3205 0.78710 47 103 0.77172 0.83033 7.59% 31.1 170s
22389 3174 0.78643 58 113 0.77172 0.83033 7.59% 32.4 175s
23011 3120 0.79087 44 135 0.77172 0.83033 7.59% 33.6 180s
23795 3119 cutoff 51 0.77172 0.82770 7.25% 34.7 185s
24378 3085 0.79364 47 116 0.77172 0.82376 6.74% 35.7 190s
25182 3087 0.80027 50 131 0.77172 0.82051 6.32% 36.6 195s
25764 3056 cutoff 41 0.77172 0.81936 6.17% 37.4 202s
25986 3027 0.78241 62 107 0.77172 0.81854 6.07% 37.6 205s
26927 2969 0.79219 58 123 0.77172 0.81706 5.87% 38.5 210s
27546 2893 cutoff 57 0.77172 0.81627 5.77% 39.1 215s
28429 2774 infeasible 54 0.77172 0.81376 5.45% 40.2 221s
29172 2587 0.81167 52 116 0.77172 0.81188 5.20% 41.0 226s
30044 2402 0.77457 51 111 0.77172 0.81027 5.00% 41.6 231s
31093 2638 0.79586 50 114 0.77172 0.80775 4.67% 42.2 237s
31551 2692 cutoff 52 0.77172 0.80688 4.56% 42.5 240s
32317 2769 cutoff 51 0.77172 0.80561 4.39% 43.1 245s
33240 2871 infeasible 51 0.77172 0.80421 4.21% 43.8 251s
33782 2961 0.77648 67 97 0.77172 0.80357 4.13% 44.0 255s
34263 2939 cutoff 46 0.77172 0.80288 4.04% 44.4 260s
35267 3061 cutoff 49 0.77172 0.80136 3.84% 44.8 266s
36218 3123 cutoff 46 0.77172 0.80001 3.67% 45.3 271s
37066 3140 0.78486 55 100 0.77172 0.79922 3.56% 45.5 276s
37989 3182 cutoff 49 0.77172 0.79778 3.38% 45.9 281s
38925 3215 0.77473 68 77 0.77172 0.79669 3.24% 46.3 287s
39283 3219 0.78059 46 140 0.77172 0.79629 3.18% 46.5 290s
40084 3243 0.78993 39 139 0.77172 0.79524 3.05% 46.9 295s
40946 3178 infeasible 72 0.77172 0.79415 2.91% 47.1 300s
41710 3098 cutoff 61 0.77172 0.79300 2.76% 47.5 305s
42881 2978 0.78028 43 105 0.77172 0.79151 2.56% 47.9 311s
43530 2895 0.78867 78 64 0.77172 0.79046 2.43% 48.2 315s
44258 2815 cutoff 62 0.77172 0.78952 2.31% 48.3 320s
44538 2742 0.78859 43 142 0.77172 0.78890 2.23% 48.4 326s
45273 2663 0.78805 73 70 0.77172 0.78819 2.13% 48.5 330s
46285 2524 0.78482 76 65 0.77172 0.78698 1.98% 48.6 335s
47114 2350 0.78605 79 67 0.77172 0.78605 1.86% 48.8 340s
47991 2168 cutoff 76 0.77172 0.78431 1.63% 48.8 345s
49221 1828 cutoff 49 0.77172 0.78226 1.37% 48.9 350s
50297 1463 0.77855 54 83 0.77172 0.78041 1.13% 48.9 355s
Cutting planes:
Gomory: 156
Cover: 6
Implied bound: 39
Projected implied bound: 20
MIR: 175
StrongCG: 2
Flow cover: 490
Inf proof: 133
Zero half: 3
Explored 50912 nodes (2487519 simplex iterations) in 357.75 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.771719 0.771719 0.771719 ... 0.771102
Optimal solution found (tolerance 1.00e-02)
Best objective 7.717187420620e-01, best bound 7.792874645167e-01, gap 0.9808%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg61gjzbr.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1mjk484y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.756717
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.083430e+00, 836 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08343 0 83 0.75672 1.08343 43.2% - 0s
0 0 1.04928 0 92 0.75672 1.04928 38.7% - 0s
0 0 1.04928 0 92 0.75672 1.04928 38.7% - 0s
0 0 1.00979 0 103 0.75672 1.00979 33.4% - 0s
0 0 1.00922 0 103 0.75672 1.00922 33.4% - 0s
0 0 1.00479 0 103 0.75672 1.00479 32.8% - 0s
0 0 1.00469 0 106 0.75672 1.00469 32.8% - 0s
0 0 1.00274 0 112 0.75672 1.00274 32.5% - 0s
0 0 1.00245 0 109 0.75672 1.00245 32.5% - 0s
0 0 0.99904 0 107 0.75672 0.99904 32.0% - 0s
0 0 0.99904 0 107 0.75672 0.99904 32.0% - 0s
0 0 0.99523 0 105 0.75672 0.99523 31.5% - 0s
0 0 0.99467 0 106 0.75672 0.99467 31.4% - 0s
0 0 0.99455 0 111 0.75672 0.99455 31.4% - 0s
0 0 0.99455 0 112 0.75672 0.99455 31.4% - 0s
0 0 0.99454 0 113 0.75672 0.99454 31.4% - 0s
0 0 0.99426 0 114 0.75672 0.99426 31.4% - 0s
0 0 0.99426 0 112 0.75672 0.99426 31.4% - 0s
0 2 0.99426 0 112 0.75672 0.99426 31.4% - 0s
1243 557 0.81952 42 79 0.75672 0.90643 19.8% 21.6 5s
4058 1427 cutoff 65 0.75672 0.84788 12.0% 22.2 10s
H 4387 1557 0.7568089 0.84662 11.9% 22.1 10s
* 4654 1641 124 0.7568519 0.84552 11.7% 21.9 11s
5792 1853 0.79816 40 85 0.75685 0.83928 10.9% 23.5 15s
H 6651 2064 0.7568519 0.83544 10.4% 23.8 17s
7269 2133 0.78470 58 64 0.75685 0.83324 10.1% 24.0 20s
9785 2272 cutoff 45 0.75685 0.82065 8.43% 26.0 25s
12362 2531 cutoff 43 0.75685 0.80977 6.99% 26.1 30s
14641 2734 0.78698 35 107 0.75685 0.80328 6.13% 25.7 35s
17820 2786 0.78643 48 75 0.75685 0.79559 5.12% 25.3 40s
19862 2688 cutoff 44 0.75685 0.79059 4.46% 25.3 45s
20749 2793 0.78474 60 112 0.75685 0.78915 4.27% 25.1 58s
20756 2798 0.78062 58 143 0.75685 0.78915 4.27% 25.1 61s
20765 2804 0.75845 61 149 0.75685 0.78915 4.27% 25.1 65s
20774 2810 0.77368 70 155 0.75685 0.78915 4.27% 25.1 70s
20781 2814 0.78437 57 157 0.75685 0.78915 4.27% 25.1 75s
20787 2818 0.76803 59 161 0.75685 0.78915 4.27% 25.1 80s
20793 2822 0.76577 58 153 0.75685 0.78915 4.27% 25.1 85s
20799 2826 0.78181 46 160 0.75685 0.78915 4.27% 25.1 90s
20805 2830 0.77752 39 154 0.75685 0.78915 4.27% 25.1 95s
20810 2834 0.76793 58 159 0.75685 0.78915 4.27% 25.1 100s
20816 2838 0.75938 52 164 0.75685 0.78915 4.27% 25.0 105s
20823 2842 0.76860 44 162 0.75685 0.78915 4.27% 25.0 111s
20828 2846 0.78559 60 158 0.75685 0.78915 4.27% 25.0 115s
20834 2850 0.78538 39 170 0.75685 0.78915 4.27% 25.0 120s
20840 2854 0.78331 46 168 0.75685 0.78915 4.27% 25.0 125s
20845 2857 0.78166 47 174 0.75685 0.78915 4.27% 25.0 130s
20850 2860 0.78210 39 176 0.75685 0.78915 4.27% 25.0 135s
H20854 2718 0.7570939 0.78915 4.23% 25.0 139s
20857 2720 0.77470 49 164 0.75709 0.78915 4.23% 25.0 141s
20861 2723 0.77058 103 179 0.75709 0.78915 4.23% 25.0 145s
H20866 2587 0.7574379 0.78915 4.19% 25.0 150s
20871 2590 0.77799 45 148 0.75744 0.78915 4.19% 25.0 156s
20875 2593 0.76978 47 172 0.75744 0.78915 4.19% 25.0 160s
20881 2597 0.78437 57 160 0.75744 0.78915 4.19% 25.0 165s
20887 2601 0.76803 59 176 0.75744 0.78915 4.19% 25.0 170s
20892 2604 0.77894 45 190 0.75744 0.78915 4.19% 25.0 175s
20896 2607 0.76034 63 181 0.75744 0.78915 4.19% 24.9 180s
20901 2610 0.78314 55 173 0.75744 0.78915 4.19% 24.9 185s
20907 2614 0.77503 55 170 0.75744 0.78915 4.19% 24.9 190s
20912 2618 0.77099 45 164 0.75744 0.78915 4.19% 24.9 195s
20919 2622 0.77114 44 177 0.75744 0.78915 4.19% 24.9 200s
20924 2626 0.78530 57 183 0.75744 0.78915 4.19% 24.9 205s
20930 2630 0.78372 38 178 0.75744 0.78915 4.19% 24.9 210s
20935 2633 0.77456 45 177 0.75744 0.78915 4.19% 24.9 215s
20941 2637 0.78466 61 183 0.75744 0.78915 4.19% 24.9 220s
20947 2641 0.77503 72 188 0.75744 0.78915 4.19% 24.9 225s
20953 2645 0.77345 50 186 0.75744 0.78915 4.19% 24.9 231s
20958 2648 0.77638 56 188 0.75744 0.78915 4.19% 24.9 235s
20961 2651 infeasible 29 0.75744 0.78915 4.19% 26.4 240s
20969 2651 infeasible 31 0.75744 0.78915 4.19% 26.5 245s
H20989 2519 0.7574379 0.78915 4.19% 26.6 248s
21092 2537 0.78915 37 148 0.75744 0.78915 4.19% 26.7 250s
21636 2639 0.77322 40 163 0.75744 0.78915 4.19% 27.5 255s
22343 2671 0.77362 40 160 0.75744 0.78915 4.19% 29.1 260s
22878 2699 0.76390 54 113 0.75744 0.78915 4.19% 30.3 265s
23575 2737 0.77280 59 108 0.75744 0.78915 4.19% 31.7 270s
24363 2742 0.76444 48 132 0.75744 0.78915 4.19% 33.1 275s
25169 2700 cutoff 63 0.75744 0.78915 4.19% 34.4 281s
25680 2664 cutoff 36 0.75744 0.78915 4.19% 35.3 285s
26032 2622 0.77141 36 165 0.75744 0.78915 4.19% 36.0 293s
26039 2612 0.76442 37 161 0.75744 0.78915 4.19% 36.0 295s
26673 2492 cutoff 41 0.75744 0.78915 4.19% 37.2 300s
27521 2452 0.76206 53 144 0.75744 0.78915 4.19% 38.3 305s
28443 2356 cutoff 39 0.75744 0.78915 4.19% 39.7 311s
28907 2435 cutoff 55 0.75744 0.78915 4.19% 40.3 315s
29425 2498 0.78574 42 137 0.75744 0.78915 4.19% 41.5 320s
30055 2579 0.78806 41 161 0.75744 0.78904 4.17% 42.4 325s
30871 2687 0.76814 48 145 0.75744 0.78779 4.01% 43.4 330s
31852 2849 cutoff 55 0.75744 0.78640 3.82% 44.3 336s
32640 3010 cutoff 58 0.75744 0.78547 3.70% 45.0 341s
33402 3089 0.76331 49 130 0.75744 0.78417 3.53% 46.1 346s
33787 3157 0.75938 76 81 0.75744 0.78377 3.48% 46.6 350s
34498 3195 0.76011 88 41 0.75744 0.78315 3.39% 47.0 356s
35464 3317 0.76094 62 112 0.75744 0.78202 3.24% 47.6 362s
36268 3344 0.76434 69 80 0.75744 0.78116 3.13% 48.3 367s
36770 3376 0.75864 49 123 0.75744 0.78077 3.08% 48.6 370s
37655 3423 0.76253 66 101 0.75744 0.77947 2.91% 49.3 375s
38669 3523 0.77166 46 152 0.75744 0.77869 2.81% 49.7 380s
39654 3553 0.76226 59 112 0.75744 0.77782 2.69% 50.1 385s
40636 3607 0.76813 72 61 0.75744 0.77758 2.66% 50.3 390s
41624 3678 0.77175 74 95 0.75744 0.77628 2.49% 50.6 395s
42505 3684 0.77541 66 76 0.75744 0.77541 2.37% 50.8 400s
43749 3640 0.77288 63 96 0.75744 0.77460 2.27% 51.3 406s
44558 3568 infeasible 70 0.75744 0.77374 2.15% 51.5 411s
45144 3464 cutoff 56 0.75744 0.77327 2.09% 52.0 415s
45793 3348 0.77140 68 81 0.75744 0.77246 1.98% 52.5 420s
46664 3182 0.76216 73 72 0.75744 0.77153 1.86% 53.0 425s
47260 3077 cutoff 63 0.75744 0.77094 1.78% 53.4 430s
48106 2871 0.77011 58 91 0.75744 0.77011 1.67% 53.7 435s
48893 2676 cutoff 60 0.75744 0.76892 1.52% 54.0 441s
49476 2554 infeasible 54 0.75744 0.76850 1.46% 54.2 445s
50447 2258 infeasible 73 0.75744 0.76699 1.26% 54.5 450s
51271 1955 infeasible 72 0.75744 0.76559 1.08% 54.7 455s
Cutting planes:
Gomory: 140
Cover: 11
Implied bound: 50
Projected implied bound: 66
Clique: 1
MIR: 248
StrongCG: 1
Flow cover: 764
Inf proof: 131
Explored 51704 nodes (2830422 simplex iterations) in 456.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.757438 0.757438 0.757094 ... 0.756717
Optimal solution found (tolerance 1.00e-02)
Best objective 7.574379202382e-01, best bound 7.649329463216e-01, gap 0.9895%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcy2qmx0p.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptqszztdl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.755129
Presolve removed 606 rows and 393 columns
Presolve time: 0.04s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.072163e+00, 890 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07216 0 89 0.75513 1.07216 42.0% - 0s
0 0 1.03712 0 101 0.75513 1.03712 37.3% - 0s
0 0 1.03712 0 101 0.75513 1.03712 37.3% - 0s
0 0 1.00107 0 111 0.75513 1.00107 32.6% - 0s
0 0 1.00080 0 115 0.75513 1.00080 32.5% - 0s
0 0 0.99659 0 113 0.75513 0.99659 32.0% - 0s
0 0 0.99658 0 115 0.75513 0.99658 32.0% - 0s
0 0 0.99459 0 115 0.75513 0.99459 31.7% - 0s
0 0 0.99406 0 113 0.75513 0.99406 31.6% - 0s
0 0 0.99336 0 115 0.75513 0.99336 31.5% - 0s
0 0 0.99336 0 115 0.75513 0.99336 31.5% - 0s
0 0 0.99333 0 114 0.75513 0.99333 31.5% - 0s
0 0 0.99333 0 114 0.75513 0.99333 31.5% - 0s
0 0 0.99333 0 99 0.75513 0.99333 31.5% - 0s
0 2 0.99333 0 99 0.75513 0.99333 31.5% - 0s
883 522 0.90746 23 111 0.75513 0.90746 20.2% 20.8 5s
3117 1244 0.84711 38 85 0.75513 0.87570 16.0% 22.8 10s
5240 2079 0.76530 40 108 0.75513 0.85820 13.6% 24.1 15s
7166 2634 0.78064 48 95 0.75513 0.84728 12.2% 24.8 20s
9125 3100 0.78398 29 111 0.75513 0.83980 11.2% 26.2 25s
11367 3624 infeasible 45 0.75513 0.83485 10.6% 26.3 30s
H12716 3871 0.7551288 0.83190 10.2% 26.8 34s
12721 3831 cutoff 38 0.75513 0.83190 10.2% 26.8 35s
14038 3919 cutoff 30 0.75513 0.82858 9.73% 27.4 40s
15886 4024 infeasible 30 0.75513 0.82441 9.17% 28.3 45s
17485 4068 cutoff 47 0.75513 0.82115 8.74% 29.0 50s
19107 4047 cutoff 42 0.75513 0.81733 8.24% 29.7 55s
20673 4062 0.78743 44 116 0.75513 0.81397 7.79% 29.9 70s
22181 4020 0.76225 47 104 0.75513 0.81049 7.33% 30.8 75s
23617 3916 infeasible 60 0.75513 0.80738 6.92% 31.8 80s
25029 3837 cutoff 45 0.75513 0.80379 6.44% 32.8 85s
26778 3757 0.76662 41 107 0.75513 0.79991 5.93% 33.4 90s
28545 3670 0.79032 61 74 0.75513 0.79655 5.48% 33.9 95s
29811 3733 0.78635 59 91 0.75513 0.79424 5.18% 33.9 100s
32021 3853 0.76182 41 115 0.75513 0.79148 4.81% 33.7 105s
33647 3944 0.77154 46 97 0.75513 0.78932 4.53% 33.7 110s
35632 4058 0.77120 44 116 0.75513 0.78681 4.20% 33.6 115s
37669 4156 cutoff 55 0.75513 0.78469 3.91% 33.5 120s
39271 4154 0.76461 42 119 0.75513 0.78305 3.70% 33.5 125s
41473 4246 cutoff 48 0.75513 0.78144 3.48% 33.3 130s
42759 4301 cutoff 53 0.75513 0.78029 3.33% 33.2 135s
45302 4602 0.77615 66 68 0.75513 0.77913 3.18% 32.7 140s
47633 4808 infeasible 43 0.75513 0.77776 3.00% 32.2 145s
50134 5008 0.75869 43 95 0.75513 0.77659 2.84% 31.6 150s
52583 5145 infeasible 90 0.75513 0.77572 2.73% 31.2 155s
54873 5114 0.76956 39 105 0.75513 0.77463 2.58% 30.8 160s
57729 5008 0.76518 98 47 0.75513 0.77356 2.44% 30.4 165s
59813 4718 0.76426 59 90 0.75513 0.77230 2.27% 30.3 170s
60999 4439 cutoff 53 0.75513 0.77137 2.15% 30.3 175s
62861 4054 0.75668 58 83 0.75513 0.76993 1.96% 30.3 180s
65040 3491 cutoff 41 0.75513 0.76789 1.69% 30.1 185s
67377 2854 cutoff 55 0.75513 0.76564 1.39% 30.0 190s
69270 2142 0.76321 41 101 0.75513 0.76328 1.08% 30.0 195s
Cutting planes:
Gomory: 98
Cover: 9
Implied bound: 72
Projected implied bound: 32
Clique: 3
MIR: 37
StrongCG: 2
Flow cover: 187
Inf proof: 308
Explored 69848 nodes (2091526 simplex iterations) in 196.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.755129 0.755129
Optimal solution found (tolerance 1.00e-02)
Best objective 7.551288325513e-01, best bound 7.625382560089e-01, gap 0.9812%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpig_24o2x.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9pk6ahnz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.741441
Presolve removed 620 rows and 402 columns
Presolve time: 0.02s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.067161e+00, 913 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06716 0 91 0.74144 1.06716 43.9% - 0s
0 0 1.03582 0 96 0.74144 1.03582 39.7% - 0s
0 0 1.03582 0 96 0.74144 1.03582 39.7% - 0s
0 0 1.00077 0 119 0.74144 1.00077 35.0% - 0s
0 0 1.00025 0 117 0.74144 1.00025 34.9% - 0s
0 0 0.99610 0 115 0.74144 0.99610 34.3% - 0s
0 0 0.99610 0 120 0.74144 0.99610 34.3% - 0s
0 0 0.99414 0 132 0.74144 0.99414 34.1% - 0s
0 0 0.99374 0 128 0.74144 0.99374 34.0% - 0s
0 0 0.99371 0 124 0.74144 0.99371 34.0% - 0s
0 0 0.99360 0 126 0.74144 0.99360 34.0% - 0s
0 0 0.99330 0 127 0.74144 0.99330 34.0% - 0s
0 0 0.99330 0 127 0.74144 0.99330 34.0% - 0s
0 0 0.99327 0 126 0.74144 0.99327 34.0% - 0s
0 0 0.99319 0 124 0.74144 0.99319 34.0% - 0s
0 0 0.99318 0 125 0.74144 0.99318 34.0% - 0s
0 0 0.99318 0 108 0.74144 0.99318 34.0% - 0s
0 2 0.99318 0 107 0.74144 0.99318 34.0% - 0s
1029 616 0.76971 55 79 0.74144 0.90420 22.0% 20.7 5s
4767 2100 0.83200 31 88 0.74144 0.84921 14.5% 17.9 10s
8506 3461 cutoff 47 0.74144 0.83341 12.4% 18.0 15s
11504 4341 0.75548 42 88 0.74144 0.82452 11.2% 18.4 20s
14715 5111 0.77668 31 88 0.74144 0.81755 10.3% 18.5 25s
17836 5461 0.78930 40 78 0.74144 0.81085 9.36% 19.0 30s
20646 5633 0.74745 60 79 0.74144 0.80530 8.61% 19.2 45s
22615 5752 cutoff 48 0.74144 0.80179 8.14% 20.1 50s
24923 5838 infeasible 43 0.74144 0.79728 7.53% 21.4 55s
27580 6076 0.76441 56 94 0.74144 0.79287 6.94% 22.1 60s
29962 6243 0.76057 37 115 0.74144 0.78900 6.41% 22.6 65s
32337 6460 0.77332 72 72 0.74144 0.78532 5.92% 22.9 70s
35658 7001 cutoff 36 0.74144 0.78207 5.48% 22.8 75s
39575 7856 0.75866 85 61 0.74144 0.77924 5.10% 22.4 80s
44401 9157 0.75423 84 51 0.74144 0.77710 4.81% 21.7 85s
49262 10420 0.75343 64 81 0.74144 0.77556 4.60% 21.1 90s
52824 11378 0.74456 62 85 0.74144 0.77458 4.47% 20.7 95s
56967 12131 cutoff 90 0.74144 0.77340 4.31% 20.3 100s
61186 12813 0.75222 99 37 0.74144 0.77222 4.15% 20.0 105s
65288 13436 0.74606 97 41 0.74144 0.77126 4.02% 19.8 110s
70201 14294 cutoff 91 0.74144 0.77039 3.90% 19.5 115s
74893 14990 0.75665 87 62 0.74144 0.76960 3.80% 19.2 120s
79114 15617 infeasible 100 0.74144 0.76885 3.70% 18.9 125s
82750 16160 0.75643 88 55 0.74144 0.76828 3.62% 18.8 130s
87046 16622 infeasible 43 0.74144 0.76762 3.53% 18.7 135s
91071 16922 0.75184 83 54 0.74144 0.76698 3.44% 18.6 140s
95423 17194 0.75424 84 63 0.74144 0.76632 3.36% 18.5 145s
99202 17476 0.76266 76 68 0.74144 0.76571 3.27% 18.4 150s
101696 17504 0.75763 80 72 0.74144 0.76529 3.22% 18.4 155s
104696 17516 0.74324 76 69 0.74144 0.76469 3.14% 18.3 160s
108585 17540 0.76240 76 68 0.74144 0.76401 3.04% 18.3 165s
112475 17452 cutoff 91 0.74144 0.76333 2.95% 18.2 170s
116293 17410 0.75298 86 57 0.74144 0.76275 2.87% 18.1 175s
120287 17453 0.75697 63 85 0.74144 0.76208 2.78% 18.0 180s
124136 17411 0.74938 87 38 0.74144 0.76143 2.70% 18.0 185s
128332 17310 infeasible 69 0.74144 0.76071 2.60% 17.9 190s
H130078 17363 0.7414414 0.76041 2.56% 17.9 193s
131075 17263 0.75996 92 63 0.74144 0.76024 2.54% 17.8 195s
134771 17043 0.75235 86 40 0.74144 0.75964 2.45% 17.8 200s
138148 16787 infeasible 87 0.74144 0.75907 2.38% 17.8 205s
141613 16525 0.75780 80 47 0.74144 0.75851 2.30% 17.7 210s
145181 16085 cutoff 78 0.74144 0.75784 2.21% 17.7 215s
148640 15701 cutoff 53 0.74144 0.75719 2.12% 17.6 220s
152265 15325 cutoff 92 0.74144 0.75643 2.02% 17.5 225s
156271 14820 0.75554 47 78 0.74144 0.75567 1.92% 17.5 230s
160054 14499 cutoff 83 0.74144 0.75503 1.83% 17.4 235s
163794 14080 0.75244 79 72 0.74144 0.75432 1.74% 17.3 240s
167330 13635 0.74564 68 70 0.74144 0.75377 1.66% 17.2 245s
*170262 12738 134 0.7424168 0.75320 1.45% 17.2 249s
*170265 12604 132 0.7426539 0.75320 1.42% 17.2 249s
170658 12497 0.75308 53 63 0.74265 0.75308 1.40% 17.2 250s
173456 11948 0.74693 81 70 0.74265 0.75248 1.32% 17.1 255s
176548 11239 cutoff 94 0.74265 0.75176 1.23% 17.0 260s
180081 10346 0.74978 64 70 0.74265 0.75097 1.12% 16.9 265s
*180741 9939 134 0.7430661 0.75086 1.05% 16.9 265s
*180744 9782 132 0.7432439 0.75086 1.02% 16.9 265s
Cutting planes:
Gomory: 55
Cover: 4
Implied bound: 18
Projected implied bound: 19
Clique: 2
MIR: 24
Flow cover: 102
Inf proof: 26
Explored 181542 nodes (3068833 simplex iterations) in 266.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.743244 0.743066 0.742654 ... 0.741441
Optimal solution found (tolerance 1.00e-02)
Best objective 7.432439047356e-01, best bound 7.506395943679e-01, gap 0.9951%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_xfjajuy.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_fljz9a0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.74259
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.060213e+00, 948 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06021 0 96 0.74259 1.06021 42.8% - 0s
0 0 1.03031 0 104 0.74259 1.03031 38.7% - 0s
0 0 0.99344 0 114 0.74259 0.99344 33.8% - 0s
0 0 0.99258 0 117 0.74259 0.99258 33.7% - 0s
0 0 0.98876 0 117 0.74259 0.98876 33.1% - 0s
0 0 0.98864 0 123 0.74259 0.98864 33.1% - 0s
0 0 0.98750 0 123 0.74259 0.98750 33.0% - 0s
0 0 0.98747 0 121 0.74259 0.98747 33.0% - 0s
0 0 0.98389 0 123 0.74259 0.98389 32.5% - 0s
0 0 0.98384 0 125 0.74259 0.98384 32.5% - 0s
0 0 0.97998 0 119 0.74259 0.97998 32.0% - 0s
0 0 0.97950 0 121 0.74259 0.97950 31.9% - 0s
0 0 0.97943 0 124 0.74259 0.97943 31.9% - 0s
0 0 0.97942 0 127 0.74259 0.97942 31.9% - 0s
0 0 0.97921 0 128 0.74259 0.97921 31.9% - 0s
0 0 0.97918 0 126 0.74259 0.97918 31.9% - 0s
0 0 0.97900 0 122 0.74259 0.97900 31.8% - 0s
0 0 0.97900 0 111 0.74259 0.97900 31.8% - 0s
0 2 0.97900 0 111 0.74259 0.97900 31.8% - 0s
745 486 0.90065 15 123 0.74259 0.90065 21.3% 22.8 5s
2231 758 0.82167 47 98 0.74259 0.90065 21.3% 29.5 10s
H 2239 754 0.7437208 0.90065 21.1% 29.4 10s
H 3522 1426 0.7437208 0.88584 19.1% 28.9 13s
3852 1586 0.78937 57 94 0.74372 0.88307 18.7% 29.0 15s
5723 2370 0.80007 31 115 0.74372 0.86831 16.8% 29.1 20s
H 7087 2832 0.7437208 0.85835 15.4% 29.6 23s
H 7126 2853 0.7437208 0.85740 15.3% 29.6 23s
7335 2891 0.76918 29 111 0.74372 0.85554 15.0% 29.7 25s
9073 3219 0.80205 26 125 0.74372 0.84548 13.7% 30.4 30s
11489 3874 infeasible 53 0.74372 0.83487 12.3% 30.2 35s
13379 4270 0.78794 41 94 0.74372 0.82860 11.4% 30.7 40s
15048 4664 infeasible 32 0.74372 0.82528 11.0% 31.0 45s
17103 5120 0.79437 38 91 0.74372 0.82131 10.4% 31.3 50s
19689 5581 0.78408 41 101 0.74372 0.81765 9.94% 31.5 55s
20590 5754 0.80786 35 113 0.74372 0.81657 9.80% 31.6 70s
22083 6010 cutoff 45 0.74372 0.81472 9.55% 32.2 75s
23609 6231 0.77234 41 117 0.74372 0.81253 9.25% 33.1 80s
25037 6389 0.77142 43 99 0.74372 0.81046 8.97% 34.1 85s
26611 6594 0.80245 45 99 0.74372 0.80870 8.74% 34.8 90s
27801 6715 0.75433 39 111 0.74372 0.80716 8.53% 35.5 95s
29353 6822 0.77923 39 105 0.74372 0.80514 8.26% 36.3 100s
30811 6939 0.75294 38 115 0.74372 0.80363 8.06% 36.7 105s
32227 7019 infeasible 39 0.74372 0.80185 7.82% 37.1 110s
H33001 7147 0.7437209 0.80107 7.71% 37.2 113s
33030 7121 0.78341 39 112 0.74372 0.80091 7.69% 37.3 115s
34414 7121 cutoff 41 0.74372 0.79964 7.52% 37.8 120s
35567 7135 0.76112 41 111 0.74372 0.79811 7.31% 38.2 125s
37101 7207 0.75737 39 90 0.74372 0.79640 7.08% 38.6 130s
38542 7201 cutoff 38 0.74372 0.79495 6.89% 39.0 135s
40160 7244 cutoff 41 0.74372 0.79360 6.71% 39.4 140s
41263 7245 cutoff 44 0.74372 0.79249 6.56% 39.5 145s
42969 7225 0.77027 49 107 0.74372 0.79078 6.33% 39.7 151s
44273 7243 0.74864 74 68 0.74372 0.78952 6.16% 39.8 155s
45877 7248 0.75817 48 80 0.74372 0.78795 5.95% 40.0 160s
47523 7225 0.77789 46 118 0.74372 0.78624 5.72% 40.1 165s
49212 7230 0.77561 40 103 0.74372 0.78505 5.56% 40.2 170s
50987 7275 0.78308 59 85 0.74372 0.78367 5.37% 40.2 175s
52617 7264 cutoff 35 0.74372 0.78250 5.21% 40.3 180s
54268 7182 infeasible 41 0.74372 0.78095 5.01% 40.4 185s
55951 7166 0.75735 43 112 0.74372 0.77978 4.85% 40.4 190s
57667 7130 cutoff 48 0.74372 0.77837 4.66% 40.4 195s
59429 7134 infeasible 41 0.74372 0.77735 4.52% 40.4 200s
61023 7150 0.74567 82 52 0.74372 0.77624 4.37% 40.4 205s
63326 7317 cutoff 36 0.74372 0.77439 4.12% 40.2 210s
65315 7544 0.76177 39 135 0.74372 0.77346 4.00% 39.8 215s
67554 7590 0.76357 55 81 0.74372 0.77212 3.82% 39.6 220s
69232 7574 0.74676 38 123 0.74372 0.77125 3.70% 39.5 225s
71144 7489 cutoff 40 0.74372 0.76997 3.53% 39.3 230s
73260 7529 infeasible 48 0.74372 0.76887 3.38% 39.1 235s
75208 7292 cutoff 50 0.74372 0.76726 3.16% 39.1 240s
77248 7069 cutoff 42 0.74372 0.76582 2.97% 38.9 245s
78767 6817 cutoff 48 0.74372 0.76459 2.81% 38.9 250s
80137 6578 cutoff 36 0.74372 0.76353 2.66% 38.8 255s
82169 6200 0.75447 39 121 0.74372 0.76159 2.40% 38.7 260s
84217 5718 0.75678 73 68 0.74372 0.75959 2.13% 38.6 265s
86243 5126 cutoff 42 0.74372 0.75738 1.84% 38.4 270s
88314 4842 0.75527 80 43 0.74372 0.75570 1.61% 38.1 275s
90800 4658 0.75408 51 90 0.74372 0.75408 1.39% 37.6 280s
93534 4666 cutoff 96 0.74372 0.75272 1.21% 37.0 285s
96939 4668 cutoff 91 0.74372 0.75150 1.05% 36.2 290s
Cutting planes:
Gomory: 109
Cover: 7
Implied bound: 94
Projected implied bound: 32
Clique: 3
MIR: 32
Flow cover: 162
Inf proof: 353
Explored 98441 nodes (3530028 simplex iterations) in 292.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.743721 0.743721 0.743721 ... 0.74259
Optimal solution found (tolerance 1.00e-02)
Best objective 7.437207857448e-01, best bound 7.511121872503e-01, gap 0.9938%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnc7vbbsb.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0vhsmb_q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.731975
Presolve removed 648 rows and 420 columns
Presolve time: 0.02s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.039743e+00, 956 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03974 0 100 0.73197 1.03974 42.0% - 0s
0 0 1.00668 0 116 0.73197 1.00668 37.5% - 0s
0 0 0.97494 0 128 0.73197 0.97494 33.2% - 0s
0 0 0.97412 0 125 0.73197 0.97412 33.1% - 0s
0 0 0.97034 0 132 0.73197 0.97034 32.6% - 0s
0 0 0.96989 0 134 0.73197 0.96989 32.5% - 0s
0 0 0.96935 0 143 0.73197 0.96935 32.4% - 0s
0 0 0.96933 0 148 0.73197 0.96933 32.4% - 0s
0 0 0.96921 0 146 0.73197 0.96921 32.4% - 0s
0 0 0.96921 0 146 0.73197 0.96921 32.4% - 0s
0 0 0.96853 0 142 0.73197 0.96853 32.3% - 0s
0 0 0.96817 0 140 0.73197 0.96817 32.3% - 0s
0 0 0.96784 0 148 0.73197 0.96784 32.2% - 0s
0 0 0.96783 0 146 0.73197 0.96783 32.2% - 0s
0 0 0.96783 0 147 0.73197 0.96783 32.2% - 0s
0 0 0.96783 0 147 0.73197 0.96783 32.2% - 0s
0 0 0.96783 0 137 0.73197 0.96783 32.2% - 0s
0 2 0.96783 0 133 0.73197 0.96783 32.2% - 0s
775 460 0.88847 14 121 0.73197 0.88847 21.4% 26.5 5s
2684 911 cutoff 83 0.73197 0.86802 18.6% 28.9 10s
5042 1841 0.83910 23 114 0.73197 0.84628 15.6% 27.2 15s
6770 2234 0.78024 30 105 0.73197 0.83453 14.0% 27.5 20s
9297 2919 infeasible 33 0.73197 0.82502 12.7% 26.9 25s
H10291 3144 0.7319746 0.82171 12.3% 27.0 27s
10642 3199 0.79668 34 123 0.73197 0.82035 12.1% 27.0 30s
13118 3743 cutoff 32 0.73197 0.81354 11.1% 27.1 35s
16154 4320 0.79070 56 96 0.73197 0.80634 10.2% 27.0 40s
17976 4741 0.74600 51 90 0.73197 0.80269 9.66% 26.7 45s
19869 5060 0.74606 42 112 0.73197 0.79885 9.14% 26.6 50s
20534 5193 0.77568 50 87 0.73197 0.79793 9.01% 26.5 64s
21083 5253 0.77545 31 118 0.73197 0.79691 8.87% 26.7 66s
22723 5367 0.76448 45 96 0.73197 0.79365 8.43% 27.2 70s
24357 5506 0.76900 50 107 0.73197 0.79122 8.09% 27.7 75s
26033 5639 cutoff 34 0.73197 0.78855 7.73% 28.3 80s
28121 5864 cutoff 67 0.73197 0.78563 7.33% 29.0 85s
29807 5948 0.77334 65 93 0.73197 0.78317 6.99% 29.8 90s
31730 6032 0.74483 27 129 0.73197 0.78027 6.60% 30.6 95s
33741 6335 0.75773 62 97 0.73197 0.77777 6.26% 30.9 100s
35561 6475 0.77082 59 89 0.73197 0.77584 5.99% 31.3 105s
37888 6626 infeasible 50 0.73197 0.77277 5.57% 31.7 110s
39479 6782 0.75217 59 87 0.73197 0.77106 5.34% 31.9 115s
41414 6925 0.74966 39 110 0.73197 0.76931 5.10% 32.2 120s
43345 7054 cutoff 64 0.73197 0.76781 4.90% 32.4 125s
45486 7277 0.73861 139 13 0.73197 0.76641 4.70% 32.4 130s
47548 7356 infeasible 47 0.73197 0.76489 4.50% 32.5 135s
49567 7467 0.74274 60 81 0.73197 0.76326 4.27% 32.6 140s
51446 7415 0.75935 57 85 0.73197 0.76175 4.07% 32.8 145s
53371 7304 0.73264 57 83 0.73197 0.76059 3.91% 33.0 150s
54546 7312 cutoff 37 0.73197 0.75977 3.80% 33.1 155s
56790 7461 0.73249 71 77 0.73197 0.75870 3.65% 33.0 160s
59116 7383 0.75662 84 80 0.73197 0.75714 3.44% 33.1 165s
60801 7164 cutoff 69 0.73197 0.75598 3.28% 33.3 170s
62678 7003 0.74335 75 79 0.73197 0.75463 3.09% 33.4 175s
64790 6832 0.74071 73 81 0.73197 0.75337 2.92% 33.4 180s
66663 6732 0.74869 36 118 0.73197 0.75226 2.77% 33.3 185s
68805 6543 cutoff 72 0.73197 0.75108 2.61% 33.3 190s
70993 6245 cutoff 58 0.73197 0.74967 2.42% 33.2 195s
72790 5931 cutoff 73 0.73197 0.74853 2.26% 33.2 200s
74889 5574 0.74107 81 62 0.73197 0.74722 2.08% 33.2 205s
76703 5141 cutoff 39 0.73197 0.74586 1.90% 33.1 210s
78889 4867 cutoff 61 0.73197 0.74447 1.71% 32.9 215s
81241 4837 0.73300 71 62 0.73197 0.74327 1.54% 32.7 220s
83094 4753 0.74229 52 87 0.73197 0.74246 1.43% 32.4 225s
86382 4908 cutoff 67 0.73197 0.74131 1.28% 31.9 230s
89332 4837 0.73986 95 43 0.73197 0.74033 1.14% 31.4 235s
92247 4753 0.73553 115 41 0.73197 0.73938 1.01% 30.9 240s
Cutting planes:
Gomory: 101
Cover: 6
Implied bound: 98
Projected implied bound: 28
Clique: 3
MIR: 32
Flow cover: 172
Inf proof: 301
Explored 92615 nodes (2854754 simplex iterations) in 240.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.731975 0.731975
Optimal solution found (tolerance 1.00e-02)
Best objective 7.319745831339e-01, best bound 7.392902476233e-01, gap 0.9994%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv17fzaw5.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpisifhg5a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.724209
Presolve removed 662 rows and 429 columns
Presolve time: 0.02s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.029114e+00, 947 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02911 0 102 0.72421 1.02911 42.1% - 0s
0 0 0.99600 0 123 0.72421 0.99600 37.5% - 0s
0 0 0.99600 0 123 0.72421 0.99600 37.5% - 0s
0 0 0.96531 0 133 0.72421 0.96531 33.3% - 0s
0 0 0.96465 0 130 0.72421 0.96465 33.2% - 0s
0 0 0.96060 0 131 0.72421 0.96060 32.6% - 0s
0 0 0.96039 0 138 0.72421 0.96039 32.6% - 0s
0 0 0.95863 0 146 0.72421 0.95863 32.4% - 0s
0 0 0.95812 0 150 0.72421 0.95812 32.3% - 0s
0 0 0.95527 0 145 0.72421 0.95527 31.9% - 0s
0 0 0.95527 0 144 0.72421 0.95527 31.9% - 0s
0 0 0.95188 0 145 0.72421 0.95188 31.4% - 0s
0 0 0.95138 0 144 0.72421 0.95138 31.4% - 0s
0 0 0.95101 0 151 0.72421 0.95101 31.3% - 0s
0 0 0.95101 0 151 0.72421 0.95101 31.3% - 0s
0 0 0.95020 0 153 0.72421 0.95020 31.2% - 0s
0 0 0.95020 0 153 0.72421 0.95020 31.2% - 0s
0 0 0.94995 0 151 0.72421 0.94995 31.2% - 0s
0 0 0.94989 0 150 0.72421 0.94989 31.2% - 0s
0 0 0.94989 0 141 0.72421 0.94989 31.2% - 0s
0 2 0.94989 0 140 0.72421 0.94989 31.2% - 0s
797 569 0.76423 21 128 0.72421 0.88659 22.4% 23.0 5s
H 2311 886 0.7242087 0.88659 22.4% 29.0 10s
3604 1500 0.81274 30 121 0.72421 0.88000 21.5% 32.3 15s
4990 2098 0.79508 40 102 0.72421 0.87271 20.5% 33.8 20s
6445 2585 cutoff 34 0.72421 0.86338 19.2% 36.5 25s
7877 2859 cutoff 37 0.72421 0.85532 18.1% 38.8 30s
8967 3047 0.76366 35 109 0.72421 0.84959 17.3% 40.5 35s
10125 3272 infeasible 32 0.72421 0.84411 16.6% 41.2 40s
11590 3520 0.73107 40 109 0.72421 0.83849 15.8% 42.2 45s
13037 3747 0.82085 43 105 0.72421 0.83432 15.2% 43.1 50s
14663 4024 0.75290 41 95 0.72421 0.82992 14.6% 43.4 55s
H15560 4264 0.7242087 0.82712 14.2% 43.6 59s
15571 4268 cutoff 29 0.72421 0.82702 14.2% 43.6 61s
16313 4386 0.73396 30 140 0.72421 0.82559 14.0% 43.8 65s
17494 4524 0.79681 46 102 0.72421 0.82279 13.6% 44.0 70s
19047 4748 0.75740 37 117 0.72421 0.81900 13.1% 44.1 75s
20622 4932 0.77455 47 100 0.72421 0.81520 12.6% 44.3 80s
21070 5059 0.74578 132 141 0.72421 0.81462 12.5% 44.3 96s
21080 5066 0.74708 49 193 0.72421 0.81462 12.5% 44.2 100s
21089 5072 0.79241 34 202 0.72421 0.81462 12.5% 44.2 105s
21097 5077 0.73944 51 215 0.72421 0.81462 12.5% 44.2 110s
21105 5082 0.76695 40 213 0.72421 0.81462 12.5% 44.2 115s
21112 5087 0.80738 32 221 0.72421 0.81462 12.5% 44.2 120s
21119 5092 0.74808 60 226 0.72421 0.81462 12.5% 44.2 125s
21127 5097 0.77803 47 219 0.72421 0.81462 12.5% 44.1 130s
21134 5102 0.76107 40 230 0.72421 0.81462 12.5% 44.1 135s
21142 5107 0.74440 55 223 0.72421 0.81462 12.5% 44.1 140s
21149 5112 0.80559 30 227 0.72421 0.81462 12.5% 44.1 145s
21154 5115 0.78429 32 221 0.72421 0.81462 12.5% 44.1 150s
21161 5120 0.79296 40 228 0.72421 0.81462 12.5% 44.1 155s
21168 5124 0.77437 41 228 0.72421 0.81462 12.5% 44.1 160s
21176 5130 0.80154 58 229 0.72421 0.81462 12.5% 44.0 165s
21182 5134 0.75754 32 232 0.72421 0.81462 12.5% 44.0 170s
21189 5138 0.79241 34 231 0.72421 0.81462 12.5% 44.0 175s
21195 5142 0.75304 43 238 0.72421 0.81462 12.5% 44.0 180s
21202 5147 0.81372 31 233 0.72421 0.81462 12.5% 44.0 186s
21207 5150 0.80101 45 233 0.72421 0.81462 12.5% 44.0 190s
21213 5154 0.73403 49 232 0.72421 0.81462 12.5% 44.0 195s
21220 5159 0.81244 36 233 0.72421 0.81462 12.5% 43.9 200s
21228 5164 0.77648 47 233 0.72421 0.81462 12.5% 43.9 206s
21231 5167 0.81462 27 223 0.72421 0.81462 12.5% 45.1 212s
21233 5168 0.81462 28 222 0.72421 0.81462 12.5% 45.1 216s
21235 5170 0.81462 29 223 0.72421 0.81462 12.5% 45.1 220s
21250 5174 0.81462 32 211 0.72421 0.81462 12.5% 45.2 225s
21300 5172 0.74715 32 150 0.72421 0.81462 12.5% 45.5 230s
21505 5175 cutoff 32 0.72421 0.81462 12.5% 45.9 235s
21820 5134 0.78279 43 170 0.72421 0.80702 11.4% 47.5 240s
22138 5150 0.74699 48 136 0.72421 0.80104 10.6% 48.5 245s
22649 5142 0.78308 44 162 0.72421 0.79494 9.77% 49.7 250s
23050 5116 0.75288 58 143 0.72421 0.79233 9.41% 50.6 255s
23844 5181 cutoff 68 0.72421 0.79015 9.11% 51.1 260s
24410 5234 0.73808 45 156 0.72421 0.78803 8.81% 51.8 265s
24934 5191 cutoff 46 0.72421 0.78610 8.55% 52.6 270s
25704 5199 cutoff 66 0.72421 0.78370 8.21% 53.4 276s
26128 5226 cutoff 50 0.72421 0.78285 8.10% 53.8 280s
26274 5213 0.77713 57 167 0.72421 0.78181 7.95% 54.2 285s
26594 5159 cutoff 54 0.72421 0.78098 7.84% 54.8 290s
27465 5100 0.73453 64 157 0.72421 0.77878 7.53% 55.7 297s
28084 5083 cutoff 56 0.72421 0.77745 7.35% 56.3 302s
28444 5137 0.77274 52 163 0.72421 0.77680 7.26% 56.6 306s
28912 5114 0.74633 70 116 0.72421 0.77623 7.18% 56.8 311s
29245 5059 cutoff 53 0.72421 0.77580 7.12% 57.0 315s
30024 5004 cutoff 57 0.72421 0.77446 6.94% 57.7 321s
30785 4967 cutoff 57 0.72421 0.77319 6.76% 58.3 328s
31182 4900 0.74342 83 100 0.72421 0.77260 6.68% 58.7 331s
31680 4842 cutoff 62 0.72421 0.77202 6.60% 59.1 335s
32438 4693 infeasible 62 0.72421 0.77061 6.41% 60.2 342s
32945 4650 0.74548 67 136 0.72421 0.77002 6.33% 60.5 346s
33306 4618 0.74382 64 154 0.72421 0.76974 6.29% 60.6 350s
34126 4438 0.74332 55 171 0.72421 0.76809 6.06% 61.5 357s
34606 4400 0.72721 54 158 0.72421 0.76737 5.96% 61.7 360s
35403 4231 infeasible 65 0.72421 0.76610 5.78% 62.6 367s
35900 4159 0.74669 69 105 0.72421 0.76544 5.69% 62.9 371s
36516 4141 infeasible 57 0.72421 0.76470 5.59% 62.8 375s
37416 4263 infeasible 61 0.72421 0.76338 5.41% 63.4 381s
37928 4366 cutoff 48 0.72421 0.76306 5.36% 63.5 385s
38711 4407 0.74778 55 155 0.72421 0.76166 5.17% 64.2 391s
39173 4478 0.73327 50 178 0.72421 0.76060 5.03% 64.5 395s
40124 4623 0.75872 70 107 0.72421 0.75967 4.90% 64.8 401s
40605 4712 0.75476 72 111 0.72421 0.75917 4.83% 64.9 405s
41610 4843 cutoff 51 0.72421 0.75825 4.70% 65.1 411s
42103 4919 0.75432 73 122 0.72421 0.75784 4.64% 65.2 415s
43132 5114 cutoff 56 0.72421 0.75683 4.50% 65.3 421s
43640 5190 cutoff 58 0.72421 0.75634 4.44% 65.3 425s
44599 5327 0.73903 70 127 0.72421 0.75586 4.37% 65.5 431s
45757 5525 cutoff 60 0.72421 0.75512 4.27% 65.3 437s
46280 5617 cutoff 54 0.72421 0.75452 4.19% 65.3 440s
47233 5738 0.73440 81 104 0.72421 0.75391 4.10% 65.4 446s
48293 5874 0.74153 62 124 0.72421 0.75360 4.06% 65.2 453s
48866 6033 infeasible 82 0.72421 0.75317 4.00% 65.1 456s
49173 6027 cutoff 66 0.72421 0.75301 3.98% 65.1 460s
50525 6324 0.72661 62 143 0.72421 0.75251 3.91% 64.5 466s
51645 6570 0.72994 63 147 0.72421 0.75203 3.84% 64.2 471s
52655 6744 cutoff 84 0.72421 0.75178 3.81% 64.0 476s
53640 6878 cutoff 61 0.72421 0.75112 3.72% 63.9 481s
54739 7073 infeasible 61 0.72421 0.75067 3.65% 63.6 486s
55602 7187 0.73192 45 156 0.72421 0.75028 3.60% 63.6 491s
56488 7273 infeasible 69 0.72421 0.74973 3.52% 63.6 496s
57345 7366 0.73565 61 169 0.72421 0.74934 3.47% 63.6 501s
58244 7454 cutoff 71 0.72421 0.74897 3.42% 63.5 509s
58594 7464 0.72522 70 145 0.72421 0.74881 3.40% 63.6 512s
59627 7536 infeasible 85 0.72421 0.74854 3.36% 63.4 517s
60592 7634 0.74201 66 139 0.72421 0.74800 3.29% 63.3 521s
61394 7703 cutoff 89 0.72421 0.74769 3.24% 63.3 526s
62208 7739 0.74460 88 130 0.72421 0.74732 3.19% 63.3 531s
63055 7768 cutoff 83 0.72421 0.74688 3.13% 63.4 536s
63824 7752 0.72769 78 106 0.72421 0.74644 3.07% 63.5 540s
64598 7721 0.73570 95 74 0.72421 0.74597 3.00% 63.5 545s
65806 7748 0.74221 97 81 0.72421 0.74543 2.93% 63.6 551s
66541 7765 0.72978 66 104 0.72421 0.74510 2.89% 63.7 556s
67245 7716 0.73961 60 148 0.72421 0.74453 2.81% 63.8 561s
67953 7677 0.72928 82 85 0.72421 0.74414 2.75% 63.9 566s
68613 7647 0.73047 61 149 0.72421 0.74374 2.70% 64.1 570s
69360 7618 0.73455 64 135 0.72421 0.74314 2.61% 64.2 576s
70167 7640 infeasible 71 0.72421 0.74273 2.56% 64.2 581s
70913 7590 0.72759 66 121 0.72421 0.74247 2.52% 64.3 585s
71638 7555 cutoff 84 0.72421 0.74195 2.45% 64.3 590s
72932 7538 cutoff 73 0.72421 0.74124 2.35% 64.2 596s
73639 7525 0.72472 66 118 0.72421 0.74092 2.31% 64.2 600s
Cutting planes:
Gomory: 155
Cover: 7
Implied bound: 75
Projected implied bound: 41
MIR: 199
StrongCG: 1
Flow cover: 614
Inf proof: 244
Zero half: 1
Explored 73733 nodes (4739274 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.724209 0.724209 0.724209
Time limit reached
Best objective 7.242087293372e-01, best bound 7.407960933096e-01, gap 2.2904%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5ma6svx3.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv4klx2t_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.720743
Presolve removed 676 rows and 438 columns
Presolve time: 0.02s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.016771e+00, 1028 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01677 0 106 0.72074 1.01677 41.1% - 0s
0 0 0.98541 0 127 0.72074 0.98541 36.7% - 0s
0 0 0.98541 0 127 0.72074 0.98541 36.7% - 0s
0 0 0.95185 0 136 0.72074 0.95185 32.1% - 0s
0 0 0.95126 0 135 0.72074 0.95126 32.0% - 0s
0 0 0.94776 0 136 0.72074 0.94776 31.5% - 0s
0 0 0.94775 0 137 0.72074 0.94775 31.5% - 0s
0 0 0.94716 0 140 0.72074 0.94716 31.4% - 0s
0 0 0.94716 0 141 0.72074 0.94716 31.4% - 0s
0 0 0.94573 0 143 0.72074 0.94573 31.2% - 0s
0 0 0.94572 0 141 0.72074 0.94572 31.2% - 0s
0 0 0.94259 0 141 0.72074 0.94259 30.8% - 0s
0 0 0.94259 0 141 0.72074 0.94259 30.8% - 0s
0 0 0.93912 0 142 0.72074 0.93912 30.3% - 0s
0 0 0.93866 0 140 0.72074 0.93866 30.2% - 0s
0 0 0.93866 0 141 0.72074 0.93866 30.2% - 0s
0 0 0.93866 0 138 0.72074 0.93866 30.2% - 0s
0 0 0.93866 0 140 0.72074 0.93866 30.2% - 0s
0 0 0.93866 0 142 0.72074 0.93866 30.2% - 0s
0 0 0.93862 0 139 0.72074 0.93862 30.2% - 0s
0 0 0.93862 0 137 0.72074 0.93862 30.2% - 0s
0 2 0.93862 0 136 0.72074 0.93862 30.2% - 0s
767 534 0.86720 15 134 0.72074 0.86720 20.3% 22.4 5s
2649 953 0.77276 38 106 0.72074 0.84217 16.8% 27.3 10s
4874 1869 0.73312 39 104 0.72074 0.82239 14.1% 27.1 15s
6899 2562 0.75782 35 118 0.72074 0.80973 12.3% 26.8 20s
8792 3043 0.75947 44 113 0.72074 0.80183 11.3% 27.1 25s
11457 3556 0.73511 64 116 0.72074 0.79398 10.2% 27.2 30s
H12920 3699 0.7207426 0.78954 9.55% 27.6 34s
12930 3704 0.76639 43 107 0.72074 0.78954 9.55% 27.6 36s
14064 3745 infeasible 34 0.72074 0.78679 9.16% 27.8 40s
16190 3943 0.73240 50 91 0.72074 0.78276 8.60% 28.2 45s
18411 4131 cutoff 38 0.72074 0.77933 8.13% 28.6 50s
20402 4369 0.72745 51 124 0.72074 0.77722 7.84% 28.5 55s
20938 4471 cutoff 46 0.72074 0.77610 7.68% 28.4 70s
22742 4704 0.74702 40 139 0.72074 0.77361 7.34% 29.0 75s
24463 4882 0.74223 44 143 0.72074 0.77183 7.09% 29.9 80s
26134 5175 0.73530 35 137 0.72074 0.76986 6.81% 30.5 85s
27659 5367 0.76198 71 98 0.72074 0.76858 6.64% 31.1 90s
29235 5576 0.72752 54 105 0.72074 0.76707 6.43% 31.6 95s
30499 5584 0.75379 60 109 0.72074 0.76578 6.25% 32.1 100s
32417 5910 cutoff 61 0.72074 0.76427 6.04% 32.3 105s
34055 6174 0.73436 47 119 0.72074 0.76332 5.91% 32.5 110s
35871 6278 cutoff 58 0.72074 0.76179 5.69% 32.8 115s
37370 6487 0.74317 44 136 0.72074 0.76081 5.56% 32.9 120s
39462 6862 0.73369 55 99 0.72074 0.75978 5.42% 33.0 125s
40258 6916 0.75415 39 133 0.72074 0.75908 5.32% 33.1 130s
41812 6997 0.72496 50 119 0.72074 0.75827 5.21% 33.3 135s
44252 7598 0.72302 50 102 0.72074 0.75706 5.04% 33.1 140s
45946 7933 0.73868 36 137 0.72074 0.75638 4.94% 33.1 145s
47704 8249 0.74705 77 69 0.72074 0.75542 4.81% 33.1 150s
50075 8650 0.73570 45 150 0.72074 0.75442 4.67% 33.0 155s
51815 8962 0.74981 50 118 0.72074 0.75369 4.57% 33.1 160s
54485 9729 cutoff 81 0.72074 0.75295 4.47% 32.8 165s
57048 10491 cutoff 111 0.72074 0.75215 4.36% 32.4 170s
59585 11108 cutoff 50 0.72074 0.75145 4.26% 32.2 175s
62942 12133 cutoff 87 0.72074 0.75074 4.16% 31.6 180s
65306 12837 0.75041 88 54 0.72074 0.75041 4.12% 31.3 185s
67880 13530 0.72791 43 123 0.72074 0.75000 4.06% 30.9 190s
71015 14445 0.74785 91 56 0.72074 0.74964 4.01% 30.3 195s
74766 15540 0.72687 52 106 0.72074 0.74924 3.95% 29.8 200s
77866 16394 0.72490 89 67 0.72074 0.74890 3.91% 29.3 205s
81237 17196 cutoff 93 0.72074 0.74861 3.87% 28.9 210s
83844 17807 infeasible 48 0.72074 0.74843 3.84% 28.7 215s
86565 18427 0.73008 74 79 0.72074 0.74816 3.80% 28.4 220s
90270 19346 0.73921 77 87 0.72074 0.74795 3.78% 28.0 225s
93250 19886 cutoff 98 0.72074 0.74775 3.75% 27.8 230s
95227 20222 0.72986 56 80 0.72074 0.74759 3.72% 27.8 235s
98050 20517 infeasible 95 0.72074 0.74735 3.69% 27.7 240s
100512 20753 0.72280 102 60 0.72074 0.74715 3.66% 27.7 245s
102984 21066 0.72770 104 48 0.72074 0.74695 3.64% 27.7 250s
105525 21320 0.73568 75 84 0.72074 0.74673 3.61% 27.6 255s
106860 21521 0.74481 95 65 0.72074 0.74662 3.59% 27.6 260s
109030 21651 0.73334 55 110 0.72074 0.74643 3.56% 27.6 265s
111721 21982 0.74522 93 67 0.72074 0.74622 3.53% 27.5 270s
114461 22282 0.73136 52 121 0.72074 0.74600 3.50% 27.5 275s
116772 22537 cutoff 41 0.72074 0.74581 3.48% 27.5 280s
119482 22811 0.74261 83 66 0.72074 0.74560 3.45% 27.5 285s
121946 23171 0.72650 107 60 0.72074 0.74541 3.42% 27.4 290s
124513 23528 cutoff 102 0.72074 0.74524 3.40% 27.4 295s
127467 23986 0.74423 77 82 0.72074 0.74503 3.37% 27.3 300s
129839 24225 infeasible 71 0.72074 0.74487 3.35% 27.3 305s
132726 24539 0.74037 96 71 0.72074 0.74467 3.32% 27.2 310s
135039 24817 0.73734 103 47 0.72074 0.74453 3.30% 27.2 315s
138070 25168 cutoff 78 0.72074 0.74433 3.27% 27.1 320s
H139848 25273 0.7207426 0.74421 3.26% 27.1 324s
140018 25303 0.73116 48 119 0.72074 0.74419 3.25% 27.1 328s
140607 25334 0.73407 91 67 0.72074 0.74415 3.25% 27.1 330s
142882 25412 cutoff 101 0.72074 0.74395 3.22% 27.1 335s
145175 25601 cutoff 102 0.72074 0.74375 3.19% 27.1 340s
146678 25743 0.73616 108 63 0.72074 0.74367 3.18% 27.1 345s
149008 25882 0.72120 87 70 0.72074 0.74349 3.16% 27.1 350s
151378 26059 0.73461 93 69 0.72074 0.74330 3.13% 27.1 355s
153851 26249 cutoff 89 0.72074 0.74314 3.11% 27.1 360s
156311 26526 cutoff 62 0.72074 0.74299 3.09% 27.1 365s
158872 26789 0.73183 84 72 0.72074 0.74285 3.07% 27.1 370s
161247 27023 infeasible 97 0.72074 0.74271 3.05% 27.0 375s
164072 27194 0.73704 89 61 0.72074 0.74255 3.03% 27.0 380s
166328 27293 0.72092 53 96 0.72074 0.74239 3.00% 27.0 385s
168542 27342 0.74139 97 56 0.72074 0.74222 2.98% 27.0 390s
170992 27558 0.73670 79 87 0.72074 0.74207 2.96% 27.0 395s
173458 27829 0.73373 86 80 0.72074 0.74193 2.94% 27.0 400s
175840 28001 0.72633 56 96 0.72074 0.74177 2.92% 27.0 405s
178280 28236 0.74130 92 55 0.72074 0.74161 2.90% 27.0 410s
180300 28352 cutoff 63 0.72074 0.74151 2.88% 27.0 415s
182547 28506 cutoff 82 0.72074 0.74136 2.86% 27.0 420s
185176 28580 cutoff 90 0.72074 0.74119 2.84% 27.0 425s
187434 28653 0.72318 106 60 0.72074 0.74106 2.82% 27.0 430s
189332 28733 cutoff 98 0.72074 0.74093 2.80% 27.0 435s
191196 28781 cutoff 98 0.72074 0.74079 2.78% 27.0 440s
193532 28874 0.73527 82 84 0.72074 0.74066 2.76% 27.0 445s
195012 28884 infeasible 80 0.72074 0.74054 2.75% 27.1 450s
197501 29058 cutoff 103 0.72074 0.74038 2.73% 27.0 455s
199916 29204 0.73536 80 98 0.72074 0.74022 2.70% 27.0 460s
201796 29255 0.73451 83 84 0.72074 0.74010 2.69% 27.0 465s
204043 29341 0.73539 54 130 0.72074 0.73994 2.66% 27.1 470s
206389 29395 0.73095 89 73 0.72074 0.73980 2.64% 27.1 475s
208584 29409 cutoff 36 0.72074 0.73964 2.62% 27.1 480s
210159 29413 cutoff 54 0.72074 0.73953 2.61% 27.1 485s
212411 29406 cutoff 57 0.72074 0.73936 2.58% 27.1 490s
214804 29441 0.73745 57 104 0.72074 0.73918 2.56% 27.1 495s
216983 29472 infeasible 83 0.72074 0.73903 2.54% 27.1 500s
219390 29554 0.73338 46 133 0.72074 0.73888 2.52% 27.1 505s
221203 29559 cutoff 99 0.72074 0.73878 2.50% 27.1 510s
223597 29585 0.73269 53 131 0.72074 0.73862 2.48% 27.1 515s
225329 29668 0.73414 49 111 0.72074 0.73853 2.47% 27.1 520s
227090 29666 0.73312 95 69 0.72074 0.73842 2.45% 27.2 525s
229220 29591 infeasible 58 0.72074 0.73824 2.43% 27.2 530s
231410 29612 cutoff 47 0.72074 0.73810 2.41% 27.2 535s
233769 29670 0.73210 81 77 0.72074 0.73799 2.39% 27.2 540s
235655 29707 0.72986 81 102 0.72074 0.73789 2.38% 27.2 545s
237780 29622 cutoff 61 0.72074 0.73775 2.36% 27.2 550s
240068 29626 0.73458 80 83 0.72074 0.73762 2.34% 27.3 555s
241890 29677 0.73206 85 78 0.72074 0.73751 2.33% 27.3 560s
243825 29534 0.73010 89 74 0.72074 0.73738 2.31% 27.3 565s
246127 29518 cutoff 89 0.72074 0.73722 2.29% 27.3 570s
248299 29449 cutoff 63 0.72074 0.73707 2.27% 27.3 575s
249932 29405 0.72845 87 77 0.72074 0.73696 2.25% 27.3 580s
252105 29337 0.73478 87 73 0.72074 0.73682 2.23% 27.3 585s
253846 29279 0.73032 82 63 0.72074 0.73671 2.21% 27.3 590s
256027 29123 0.73637 92 62 0.72074 0.73654 2.19% 27.3 595s
257984 29030 infeasible 95 0.72074 0.73640 2.17% 27.3 600s
Cutting planes:
Gomory: 120
Cover: 10
Implied bound: 106
Projected implied bound: 32
Clique: 3
MIR: 29
Flow cover: 184
Inf proof: 610
Zero half: 2
Explored 258252 nodes (7064398 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.720743 0.720743 0.720743
Time limit reached
Best objective 7.207425977529e-01, best bound 7.363908631188e-01, gap 2.1711%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Number of Periods: 60
Run 0
Seed for training 911
Seed for simulation 105
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-171.50686266, 96.88471412, 145.32707378]])
fopt: 0.6146155766762004
fun: -0.6131561265186235
message: 'Optimization terminated successfully.'
nfev: 597
nit: 7
status: 0
success: True
x: array([ 80.98995436, 155. , 155. ])
xopt: array([ 81., 155., 156.])
zopt: array([ 81., 236., 392.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj1rjdk9n.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4qneelcz.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.614616
Presolve removed 899 rows and 580 columns
Presolve time: 0.05s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.187285e-01, 1510 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.81873 0 130 0.61462 0.81873 33.2% - 0s
0 0 0.80092 0 149 0.61462 0.80092 30.3% - 0s
0 0 0.80086 0 149 0.61462 0.80086 30.3% - 0s
0 0 0.79546 0 160 0.61462 0.79546 29.4% - 0s
0 0 0.79540 0 157 0.61462 0.79540 29.4% - 0s
0 0 0.79515 0 166 0.61462 0.79515 29.4% - 0s
0 0 0.79513 0 164 0.61462 0.79513 29.4% - 0s
0 0 0.79504 0 164 0.61462 0.79504 29.4% - 0s
0 0 0.79489 0 164 0.61462 0.79489 29.3% - 0s
0 0 0.79487 0 164 0.61462 0.79487 29.3% - 0s
0 0 0.79487 0 152 0.61462 0.79487 29.3% - 0s
0 2 0.79487 0 152 0.61462 0.79487 29.3% - 0s
749 524 0.75251 16 152 0.61462 0.75251 22.4% 24.9 5s
1305 650 cutoff 23 0.61462 0.74913 21.9% 36.7 10s
* 1742 693 240 0.6394897 0.74476 16.5% 34.0 11s
2308 725 0.69009 33 163 0.63949 0.73377 14.7% 39.3 16s
H 2310 698 0.6419468 0.73377 14.3% 39.3 16s
3169 939 0.65711 38 161 0.64195 0.71929 12.0% 41.9 20s
4420 1260 0.66819 37 156 0.64195 0.70573 9.94% 43.4 25s
5813 1511 cutoff 41 0.64195 0.69718 8.60% 44.7 30s
7563 1954 cutoff 30 0.64195 0.69138 7.70% 41.7 35s
9090 2455 cutoff 51 0.64195 0.68867 7.28% 39.9 40s
H 9241 2477 0.6420360 0.68847 7.23% 39.7 40s
H 9391 2520 0.6420360 0.68812 7.18% 39.7 40s
10708 2867 0.67835 38 148 0.64204 0.68610 6.86% 38.5 45s
12317 3369 0.67022 34 150 0.64204 0.68407 6.55% 37.2 50s
14235 3807 0.64659 82 127 0.64204 0.68197 6.22% 36.5 55s
16498 4471 cutoff 95 0.64204 0.68002 5.92% 35.0 60s
18844 5092 0.66317 53 144 0.64204 0.67843 5.67% 34.2 65s
20581 5480 0.65370 105 95 0.64204 0.67727 5.49% 34.1 89s
20986 5580 infeasible 53 0.64204 0.67707 5.46% 34.0 91s
22081 5729 0.66598 68 130 0.64204 0.67623 5.33% 34.7 96s
H22085 5272 0.6461831 0.67623 4.65% 34.7 96s
22743 5341 0.67277 69 138 0.64618 0.67573 4.57% 34.9 101s
H22746 5092 0.6475419 0.67573 4.35% 34.9 101s
23640 5055 0.66596 38 183 0.64754 0.67489 4.22% 35.5 106s
24838 5080 0.67176 74 130 0.64754 0.67370 4.04% 36.1 111s
25976 5284 0.65749 49 155 0.64754 0.67298 3.93% 36.2 115s
27387 5455 cutoff 77 0.64754 0.67198 3.77% 36.6 120s
29044 5703 cutoff 44 0.64754 0.67110 3.64% 36.5 125s
30593 5921 0.67016 54 140 0.64754 0.67016 3.49% 36.7 130s
31973 6096 0.65902 63 134 0.64754 0.66949 3.39% 37.0 136s
33168 6195 0.65969 106 115 0.64754 0.66873 3.27% 37.1 140s
34679 6317 0.64868 46 151 0.64754 0.66769 3.11% 37.3 145s
36296 6515 0.64988 72 150 0.64754 0.66687 2.98% 37.4 150s
38037 6804 0.66458 80 117 0.64754 0.66602 2.85% 37.3 155s
39222 6981 cutoff 90 0.64754 0.66561 2.79% 37.4 160s
40949 7241 0.65647 42 195 0.64754 0.66494 2.69% 37.3 165s
42656 7460 0.66331 90 120 0.64754 0.66418 2.57% 37.2 170s
44321 7798 0.65873 92 94 0.64754 0.66379 2.51% 36.9 175s
46202 8099 cutoff 83 0.64754 0.66323 2.42% 36.7 181s
47707 8444 0.66168 70 129 0.64754 0.66300 2.39% 36.4 185s
49614 8761 cutoff 96 0.64754 0.66252 2.31% 36.3 190s
51495 9047 0.65099 93 105 0.64754 0.66215 2.26% 36.0 195s
53430 9481 0.65369 149 56 0.64754 0.66174 2.19% 35.7 200s
55432 9938 infeasible 83 0.64754 0.66145 2.15% 35.3 205s
57433 10411 0.66059 72 127 0.64754 0.66110 2.09% 35.0 210s
59399 10922 0.65329 105 106 0.64754 0.66089 2.06% 34.6 215s
61229 11298 cutoff 123 0.64754 0.66066 2.03% 34.4 220s
63018 11608 0.65281 65 134 0.64754 0.66038 1.98% 34.2 225s
*64323 11612 201 0.6481696 0.66020 1.86% 34.0 227s
64426 11671 cutoff 89 0.64817 0.66015 1.85% 34.0 232s
H64439 11561 0.6483491 0.66015 1.82% 34.0 232s
64837 11546 cutoff 92 0.64835 0.66010 1.81% 34.0 235s
66728 11781 0.65447 93 127 0.64835 0.65985 1.77% 33.8 240s
68382 11926 cutoff 114 0.64835 0.65962 1.74% 33.7 245s
70334 12305 0.65447 116 90 0.64835 0.65946 1.71% 33.4 250s
72646 12849 0.65792 120 85 0.64835 0.65929 1.69% 33.0 255s
74859 13231 cutoff 72 0.64835 0.65914 1.66% 32.7 260s
77186 13609 0.65311 115 94 0.64835 0.65895 1.63% 32.3 265s
79240 14053 cutoff 114 0.64835 0.65881 1.61% 32.1 270s
81588 14403 0.65499 76 148 0.64835 0.65866 1.59% 31.9 275s
83342 14676 cutoff 48 0.64835 0.65853 1.57% 31.8 280s
85278 15102 cutoff 107 0.64835 0.65843 1.56% 31.6 285s
*85589 12502 206 0.6503341 0.65840 1.24% 31.5 285s
87534 12613 cutoff 88 0.65033 0.65826 1.22% 31.4 290s
89330 12754 0.65279 139 89 0.65033 0.65814 1.20% 31.2 295s
91291 12934 0.65484 108 102 0.65033 0.65800 1.18% 31.1 300s
93087 13123 0.65555 84 105 0.65033 0.65787 1.16% 30.9 305s
95105 13279 cutoff 108 0.65033 0.65773 1.14% 30.8 310s
96979 13471 0.65368 130 73 0.65033 0.65757 1.11% 30.7 315s
99380 13744 0.65690 107 86 0.65033 0.65738 1.08% 30.5 320s
101144 13789 0.65154 99 107 0.65033 0.65723 1.06% 30.4 325s
102966 13898 cutoff 82 0.65033 0.65710 1.04% 30.3 330s
104374 13976 0.65688 101 96 0.65033 0.65699 1.02% 30.2 335s
106169 13992 0.65129 120 87 0.65033 0.65689 1.01% 30.1 340s
108564 14079 infeasible 102 0.65033 0.65669 0.98% 30.1 345s
110431 14122 0.65298 112 70 0.65033 0.65656 0.96% 30.0 350s
112496 14330 0.65196 119 94 0.65033 0.65645 0.94% 29.8 355s
114440 14469 cutoff 122 0.65033 0.65633 0.92% 29.7 360s
116739 14689 cutoff 77 0.65033 0.65620 0.90% 29.6 365s
118357 14956 0.65084 115 86 0.65033 0.65614 0.89% 29.4 370s
H118358 14956 0.6503341 0.65614 0.89% 29.4 370s
119623 14999 cutoff 127 0.65033 0.65604 0.88% 29.3 375s
122275 15332 0.65242 114 98 0.65033 0.65591 0.86% 29.1 380s
124289 15599 cutoff 85 0.65033 0.65582 0.84% 29.0 385s
125979 15597 0.65172 77 141 0.65033 0.65570 0.82% 28.9 390s
128385 15799 cutoff 126 0.65033 0.65558 0.81% 28.8 395s
130307 15991 cutoff 63 0.65033 0.65548 0.79% 28.7 400s
132888 16239 0.65190 86 101 0.65033 0.65536 0.77% 28.6 405s
135010 16525 0.65230 98 89 0.65033 0.65528 0.76% 28.4 410s
137558 16854 cutoff 107 0.65033 0.65518 0.74% 28.2 415s
139986 17135 infeasible 80 0.65033 0.65508 0.73% 28.0 420s
141678 17152 cutoff 144 0.65033 0.65500 0.72% 28.0 425s
144031 17443 cutoff 64 0.65033 0.65491 0.70% 27.9 430s
146576 17828 cutoff 107 0.65033 0.65483 0.69% 27.7 435s
148631 18112 cutoff 125 0.65033 0.65475 0.68% 27.6 440s
151560 18536 cutoff 101 0.65033 0.65466 0.66% 27.4 445s
153884 18724 infeasible 127 0.65033 0.65459 0.65% 27.3 450s
156037 19232 0.65160 110 95 0.65033 0.65453 0.64% 27.1 455s
158209 19449 0.65148 119 103 0.65033 0.65445 0.63% 27.0 460s
160543 19761 0.65356 125 85 0.65033 0.65439 0.62% 26.9 465s
163192 20255 cutoff 90 0.65033 0.65432 0.61% 26.7 470s
165108 20604 0.65240 129 91 0.65033 0.65427 0.61% 26.6 475s
167515 20856 0.65207 157 32 0.65033 0.65421 0.60% 26.4 480s
170039 21231 cutoff 179 0.65033 0.65416 0.59% 26.3 485s
173076 21700 cutoff 173 0.65033 0.65410 0.58% 26.1 490s
175338 21973 cutoff 125 0.65033 0.65402 0.57% 26.0 495s
177877 22154 0.65363 132 64 0.65033 0.65395 0.56% 25.9 500s
180066 22317 0.65262 116 104 0.65033 0.65390 0.55% 25.8 505s
182784 22588 cutoff 94 0.65033 0.65383 0.54% 25.7 510s
184947 22782 0.65318 81 134 0.65033 0.65378 0.53% 25.6 515s
187447 22866 0.65117 81 106 0.65033 0.65372 0.52% 25.5 520s
189979 22964 cutoff 129 0.65033 0.65365 0.51% 25.4 525s
191675 23062 cutoff 95 0.65033 0.65361 0.50% 25.4 530s
193546 22987 cutoff 156 0.65033 0.65355 0.49% 25.3 535s
195682 22822 0.65131 86 109 0.65033 0.65348 0.48% 25.3 540s
198196 22880 infeasible 99 0.65033 0.65342 0.47% 25.2 545s
200564 22832 cutoff 78 0.65033 0.65335 0.46% 25.1 550s
202737 22833 0.65328 85 111 0.65033 0.65330 0.46% 25.0 555s
205310 22936 infeasible 134 0.65033 0.65324 0.45% 24.9 560s
207245 22937 0.65251 87 118 0.65033 0.65320 0.44% 24.9 565s
209706 22959 cutoff 148 0.65033 0.65314 0.43% 24.8 570s
211955 22884 0.65253 128 89 0.65033 0.65308 0.42% 24.7 575s
214004 22823 0.65276 141 71 0.65033 0.65303 0.41% 24.6 580s
216284 22674 0.65095 140 50 0.65033 0.65296 0.40% 24.6 585s
217749 22603 0.65290 118 76 0.65033 0.65293 0.40% 24.5 591s
219349 22606 cutoff 103 0.65033 0.65289 0.39% 24.5 595s
221862 22618 infeasible 128 0.65033 0.65283 0.38% 24.4 600s
Cutting planes:
Gomory: 217
Cover: 1
Implied bound: 58
Projected implied bound: 24
MIR: 38
Flow cover: 167
GUB cover: 1
Inf proof: 531
Zero half: 1
Explored 222002 nodes (5421076 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.650334 0.650334 0.648349 ... 0.63949
Time limit reached
Best objective 6.503340613235e-01, best bound 6.528264347634e-01, gap 0.3832%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa_wcbnwl.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx99jwbb7.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.00s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8292443e+01 5.012500e+02 0.000000e+00 0s
230 1.1546858e+01 0.000000e+00 0.000000e+00 0s
Solved in 230 iterations and 0.01 seconds
Optimal objective 1.154685842e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.61192975e-03, 8.38180237e-04, 8.38180237e-04]])
fopt: 0.4230041104251015
fun: -0.4256478522560867
message: 'Optimization terminated successfully.'
nfev: 165
nit: 2
status: 0
success: True
x: array([12.00000007, -0.99998726, -0.99998726])
xopt: array([12., 0., 0.])
zopt: array([12., 12., 12.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.05371828, -0.01852059, 1.04327516]])
fopt: 0.9423256263216313
fun: -0.9507138965068064
message: 'Optimization terminated successfully.'
nfev: 197
nit: 3
status: 0
success: True
x: array([ 38.32270426, -0.97831837, -64.99992368])
xopt: array([38., 0., 0.])
zopt: array([38., 38., 38.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.87362181e-04, 4.52555435e-04, 9.20140535e-06]])
fopt: 1.3295890182815295
fun: -1.3434675609385167
message: 'Optimization terminated successfully.'
nfev: 127
nit: 2
status: 0
success: True
x: array([ 58.13837281, -87.99498344, -0.99928103])
xopt: array([58., 0., 0.])
zopt: array([58., 58., 58.])
*******************************************
Period: 4
direc: array([[-1.05940870e-01, 2.84050321e-03, 1.28634086e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.35669885e-05, 1.70429192e-06, 6.23102664e-04]])
fopt: 1.327389105156179
fun: -1.3384440289142063
message: 'Optimization terminated successfully.'
nfev: 301
nit: 3
status: 0
success: True
x: array([ 75.0046223 , -0.98426451, -87.94596674])
xopt: array([75., 0., 0.])
zopt: array([75., 75., 75.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.21435361e-03, -1.28410562e-06, -0.00000000e+00]])
fopt: 1.4153371165475013
fun: -1.422429152838489
message: 'Optimization terminated successfully.'
nfev: 254
nit: 2
status: 0
success: True
x: array([93.11385422, 1.05341691, 1. ])
xopt: array([93., 1., 1.])
zopt: array([93., 94., 95.])
*******************************************
Period: 6
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , -6.86546084]])
fopt: 1.4166962211548644
fun: nan
message: 'NaN result encountered.'
nfev: 1208
nit: 5
status: 3
success: False
x: array([114.47593584, 3.67313453, -inf])
xopt: array([114., 3., 0.])
zopt: array([114., 117., 117.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1465
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1473
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00],
[-0.00000000e+00, -9.84326056e-05, 2.51123447e-07]])
fopt: 1.1117186914901298
fun: -1.1146221914841172
message: 'Optimization terminated successfully.'
nfev: 289
nit: 4
status: 0
success: True
x: array([152.44362411, 4.07534949, -1.99787485])
xopt: array([152., 5., 0.])
zopt: array([152., 157., 157.])
*******************************************
Period: 10
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.9758452227017739
fun: -0.9781536036830012
message: 'Optimization terminated successfully.'
nfev: 245
nit: 2
status: 0
success: True
x: array([152.80556454, 1.00468418, 1. ])
xopt: array([152., 1., 1.])
zopt: array([152., 153., 154.])
*******************************************
Period: 11
direc: array([[-1.69898267e-07, -1.69310674e-15, -2.24934149e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.18934797e-07, -5.31624437e-07, 8.37967688e+00]])
fopt: 1.0165022378177857
fun: -1.017573807998564
message: 'Optimization terminated successfully.'
nfev: 359
nit: 3
status: 0
success: True
x: array([152.06489443, 1.00000079, 13.37967688])
xopt: array([152., 1., 13.])
zopt: array([152., 153., 166.])
*******************************************
Period: 12
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.85048027e+01, 9.41822286e-03, 2.42016283e+01]])
fopt: 0.9713801700413347
fun: -0.9717268435377738
message: 'Optimization terminated successfully.'
nfev: 350
nit: 5
status: 0
success: True
x: array([150.86096666, 3.00858212, 52.3892308 ])
xopt: array([150., 3., 52.])
zopt: array([150., 153., 205.])
*******************************************
Period: 13
direc: array([[-1.90620342e-04, -1.29749901e-06, -4.35046054e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 1.0210000318906503
fun: -1.023001073074126
message: 'Optimization terminated successfully.'
nfev: 322
nit: 3
status: 0
success: True
x: array([151.72583643, 2.0247977 , 46.21855909])
xopt: array([151., 2., 46.])
zopt: array([151., 153., 199.])
*******************************************
Period: 14
direc: array([[ 1.03041742e-05, 6.82841925e-08, 2.08702987e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.47011608e-06, -1.62620414e-05, -3.15236196e-01]])
fopt: 1.0527719831805318
fun: -1.054830520020715
message: 'Optimization terminated successfully.'
nfev: 531
nit: 5
status: 0
success: True
x: array([151.90159438, 2.00305072, 66.02404807])
xopt: array([151., 2., 66.])
zopt: array([151., 153., 219.])
*******************************************
Period: 15
direc: array([[3.69061227e-02, 2.44571253e-04, 4.89142511e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 1.0440467123956416
fun: -1.0450811832992175
message: 'Optimization terminated successfully.'
nfev: 261
nit: 3
status: 0
success: True
x: array([151.91127953, 2.00051285, 85.30771207])
xopt: array([151., 2., 85.])
zopt: array([151., 153., 238.])
*******************************************
Period: 16
direc: array([[1.07657337e-02, 7.13428770e-05, 1.42685756e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.11776751e-01, 1.40109104e-03, 1.03003445e+02]])
fopt: 1.0276816867202605
fun: -1.0299621258787495
message: 'Optimization terminated successfully.'
nfev: 394
nit: 4
status: 0
success: True
x: array([151.91947134, 2.02023805, 108.00082888])
xopt: array([151., 2., 108.])
zopt: array([151., 153., 261.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-8.03065557e+01, -3.75957192e-02, 7.28294894e+01],
[-1.36077691e-04, -3.13001178e-02, 6.93840854e-03]])
fopt: 1.1780247929678516
fun: -1.1741595593420462
message: 'Optimization terminated successfully.'
nfev: 326
nit: 5
status: 0
success: True
x: array([ 81.90348155, 83.00000226, 126.00005382])
xopt: array([ 82., 84., 127.])
zopt: array([ 82., 166., 293.])
*******************************************
Period: 18
direc: array([[-8.49928063e+00, -2.26840344e-08, 7.14511386e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.70814152e-09, 5.19672686e+01, 1.11147425e+02]])
fopt: 1.0500942849362274
fun: -1.0477026758643184
message: 'Optimization terminated successfully.'
nfev: 486
nit: 6
status: 0
success: True
x: array([153.99987979, 54. , 170.44097481])
xopt: array([153., 55., 170.])
zopt: array([153., 208., 378.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-3.14679481, 0. , 2.42277517]])
fopt: 0.9510204097680052
fun: -0.9516826543878171
message: 'Optimization terminated successfully.'
nfev: 422
nit: 5
status: 0
success: True
x: array([206.72826786, 1.00810961, 174.00122849])
xopt: array([206., 2., 175.])
zopt: array([206., 208., 383.])
*******************************************
Period: 20
direc: array([[-1.96243825e+01, -6.28820193e-03, 1.10476140e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.10686652e+01, 3.99632290e+01, 2.80352016e+01]])
fopt: 0.9739300978162293
fun: -0.9719569472852432
message: 'Optimization terminated successfully.'
nfev: 765
nit: 10
status: 0
success: True
x: array([123.17543991, 85. , 138.18019525])
xopt: array([123., 85., 139.])
zopt: array([123., 208., 347.])
*******************************************
Period: 21
direc: array([[ 0.36078343, -0. , -0.2702309 ],
[ 0. , 1. , 0. ],
[15.56289159, 43.02112641, 74.20774532]])
fopt: 0.8354852230767861
fun: -0.8327209466046395
message: 'Optimization terminated successfully.'
nfev: 613
nit: 7
status: 0
success: True
x: array([160.9999893 , 47. , 132.42806631])
xopt: array([160., 48., 133.])
zopt: array([160., 208., 341.])
*******************************************
Period: 22
direc: array([[4.23007261e-03, 2.80939844e-05, 5.71880001e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.16301085e-01, 1.94652733e-03, 1.60128126e+02]])
fopt: 0.798686564777973
fun: -0.7993052703363985
message: 'Optimization terminated successfully.'
nfev: 428
nit: 4
status: 0
success: True
x: array([151.90545904, 2.00203812, 165.30517298])
xopt: array([151., 3., 166.])
zopt: array([151., 154., 320.])
*******************************************
Period: 23
direc: array([[-7.05575076e+01, 0.00000000e+00, 6.92002963e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.95127913e-06, -8.04755090e-07, 1.01708061e+01]])
fopt: 0.8006826252807141
fun: -0.8009151430670916
message: 'Optimization terminated successfully.'
nfev: 870
nit: 10
status: 0
success: True
x: array([149.3949417 , 5.00013708, 162.17912435])
xopt: array([149., 6., 163.])
zopt: array([149., 155., 318.])
*******************************************
Period: 24
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4305234363699855
fun: -0.4311824362432031
message: 'Optimization terminated successfully.'
nfev: 228
nit: 2
status: 0
success: True
x: array([218.16997914, 1.00813062, 1. ])
xopt: array([218., 1., 1.])
zopt: array([218., 219., 220.])
*******************************************
Period: 25
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.05963946e+01, -1.04044954e-08, 2.13574851e+02]])
fopt: 0.856142736722442
fun: -0.8569532295679433
message: 'Optimization terminated successfully.'
nfev: 507
nit: 5
status: 0
success: True
x: array([206.98401753, 1.00083395, 215.00286585])
xopt: array([206., 2., 215.])
zopt: array([206., 208., 423.])
*******************************************
Period: 26
direc: array([[-5.47227958e+01, -8.14324821e+00, 5.18960678e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.52280472e-02, 6.00074525e+00, 6.02178721e+00]])
fopt: 1.0239208812752856
fun: -1.0203576383059687
message: 'Optimization terminated successfully.'
nfev: 685
nit: 10
status: 0
success: True
x: array([101.51297219, 107. , 212.08681003])
xopt: array([101., 107., 213.])
zopt: array([101., 208., 421.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, -4.80951234e+01, 4.34588910e+01],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 5.17302703e-02, 7.02379625e+01]])
fopt: 0.7391576981798269
fun: -0.7453890002546558
message: 'Optimization terminated successfully.'
nfev: 585
nit: 8
status: 0
success: True
x: array([218.17445287, -65.57603025, 164.00189316])
xopt: array([218., 0., 165.])
zopt: array([218., 218., 383.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 200.4050059]])
fopt: 0.8011011460706441
fun: -0.8453896109917747
message: 'Optimization terminated successfully.'
nfev: 469
nit: 6
status: 0
success: True
x: array([216.93199606, -9.00000309, 215.00000007])
xopt: array([216., 0., 215.])
zopt: array([216., 216., 431.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 200.13358136]])
fopt: 0.7788965963859916
fun: -0.8217018972266743
message: 'Optimization terminated successfully.'
nfev: 468
nit: 6
status: 0
success: True
x: array([216.77153539, -8.77153792, 215.00000097])
xopt: array([216., 0., 215.])
zopt: array([216., 216., 431.])
*******************************************
Period: 30
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 201.96192638]])
fopt: 0.7880060864559723
fun: -0.8293210385803826
message: 'Optimization terminated successfully.'
nfev: 464
nit: 6
status: 0
success: True
x: array([216.32773594, -8.32773688, 215.00000021])
xopt: array([216., 0., 215.])
zopt: array([216., 216., 431.])
*******************************************
Period: 31
direc: array([[ 0. , -1.80306779, 1. ],
[ 0. , 0. , 0. ],
[ 0. , -4.83270078, 4.02039856]])
fopt: 0.4975076860307747
fun: -0.5014241100608664
message: 'Optimization terminated successfully.'
nfev: 559
nit: 7
status: 0
success: True
x: array([217.79948921, -12.81751485, 12.00000717])
xopt: array([217., 0., 13.])
zopt: array([217., 217., 230.])
*******************************************
Period: 32
direc: array([[ 0. , 0. , 0. ],
[ 0. , 0. , 3.08639346],
[ 0. , -0.00499501, -0.00333108]])
fopt: 0.793810608996217
fun: -0.7943573730843874
message: 'Optimization terminated successfully.'
nfev: 500
nit: 6
status: 0
success: True
x: array([216.11673652, 1.00910365, 206.00069142])
xopt: array([216., 1., 206.])
zopt: array([216., 217., 423.])
*******************************************
Period: 33
direc: array([[ 0.00000000e+00, -4.02126846e+00, 3.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -6.03011090e-05, 5.24844047e-05]])
fopt: 0.5010080977711561
fun: -0.5076172822934646
message: 'Optimization terminated successfully.'
nfev: 420
nit: 5
status: 0
success: True
x: array([218.63932866, -13.07449992, 13.00005248])
xopt: array([218., 0., 14.])
zopt: array([218., 218., 232.])
*******************************************
Period: 34
direc: array([[ 7.17400087, 32.07412731, 66.13615015],
[ 0. , 1. , 0. ],
[-9.07287313, 1.42921032, 3.94662973]])
fopt: 0.9285089722320538
fun: -0.9275001198540721
message: 'Optimization terminated successfully.'
nfev: 649
nit: 9
status: 0
success: True
x: array([ 94.78973579, 113. , 215.20483581])
xopt: array([ 94., 114., 215.])
zopt: array([ 94., 208., 423.])
*******************************************
Period: 35
direc: array([[-23.94157063, 3.27115471, 5.81169244],
[ 0. , 1. , 0. ],
[-37.77203942, 57.81544782, 61.7722789 ]])
fopt: 0.8768067240926403
fun: -0.8763062544027994
message: 'Optimization terminated successfully.'
nfev: 723
nit: 9
status: 0
success: True
x: array([ 85.89820988, 141. , 189.42274239])
xopt: array([ 86., 141., 190.])
zopt: array([ 86., 227., 417.])
*******************************************
Period: 36
direc: array([[1.11537186e-03, 5.10868265e-06, 1.02437267e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.98558964e-03, 6.25108690e+01, 1.25617783e+02]])
fopt: 0.5862892863109342
fun: -0.5830020512969035
message: 'Optimization terminated successfully.'
nfev: 395
nit: 5
status: 0
success: True
x: array([219.33713263, 68.46090274, 136.70957696])
xopt: array([219., 68., 136.])
zopt: array([219., 287., 423.])
*******************************************
Period: 37
direc: array([[ 2.35243993e-01, 1.07520712e-03, 2.36307420e-03],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-9.20681748e-11, 1.05345071e+00, -9.24424357e-13]])
fopt: 0.4430215390705189
fun: -0.44133485183012633
message: 'Optimization terminated successfully.'
nfev: 362
nit: 4
status: 0
success: True
x: array([220.00468156, 5.05443436, 5.0231909 ])
xopt: array([220., 5., 6.])
zopt: array([220., 225., 231.])
*******************************************
Period: 38
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 39.07606772, 71.64180447]])
fopt: 0.5775134527811013
fun: -0.5760402176034493
message: 'Optimization terminated successfully.'
nfev: 347
nit: 4
status: 0
success: True
x: array([219.27750167, 42.22196369, 76.64380086])
xopt: array([219., 42., 77.])
zopt: array([219., 261., 338.])
*******************************************
Period: 39
direc: array([[1.96117041e-08, 9.02526648e-11, 1.82128867e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.37907208e-08, 2.25064531e+00, 4.52323231e+00]])
fopt: 0.8578503453074805
fun: -0.856524116383831
message: 'Optimization terminated successfully.'
nfev: 542
nit: 8
status: 0
success: True
x: array([ 81.9999947, 120. , 201.0014047])
xopt: array([ 82., 121., 202.])
zopt: array([ 82., 203., 405.])
*******************************************
Period: 40
direc: array([[4.69905945e-03, 2.14515872e-05, 4.83080797e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.69905945e-03, 1.00002145e+00, 2.00997291e+00]])
fopt: 0.560637916853748
fun: -0.5606614444426187
message: 'Optimization terminated successfully.'
nfev: 480
nit: 5
status: 0
success: True
x: array([220.27979721, 66.05603338, 132.00000803])
xopt: array([220., 66., 133.])
zopt: array([220., 286., 419.])
*******************************************
Period: 41
direc: array([[ 6.00195555, 3.96142956, 3.52404475],
[ 0. , 1. , 0. ],
[-9.53247264, 48.7601709 , 44.02464211]])
fopt: 0.7823468594931896
fun: -0.7818802105531384
message: 'Optimization terminated successfully.'
nfev: 682
nit: 10
status: 0
success: True
x: array([ 84.62141891, 167. , 160.02574192])
xopt: array([ 84., 167., 161.])
zopt: array([ 84., 251., 412.])
*******************************************
Period: 42
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.36955162e+02, 3.14396888e-06, 1.21706577e+02]])
fopt: 0.6123688077539412
fun: -0.6125988925854089
message: 'Optimization terminated successfully.'
nfev: 416
nit: 5
status: 0
success: True
x: array([188.98982095, 2.00020152, 126.00826502])
xopt: array([188., 2., 127.])
zopt: array([188., 190., 317.])
*******************************************
Period: 43
direc: array([[-1.29325070e+02, 0.00000000e+00, 1.06888436e+02],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 1.68872159e-04, -1.54311928e-01, -1.39574492e-04]])
fopt: 0.6927721368998468
fun: -0.689241266291901
message: 'Optimization terminated successfully.'
nfev: 1061
nit: 13
status: 0
success: True
x: array([ 93.26449619, 67. , 168.00025115])
xopt: array([ 94., 68., 169.])
zopt: array([ 94., 162., 331.])
*******************************************
Period: 44
direc: array([[-1.88030761e-02, 2.27401695e-02, 5.94077423e-02],
[ 1.91327656e+00, 9.65211794e-01, 5.59280463e-02],
[-1.26103724e-04, 2.31138032e+01, 1.14860256e-04]])
fopt: 0.6498601199808409
fun: -0.6479328282506905
message: 'Optimization terminated successfully.'
nfev: 918
nit: 12
status: 0
success: True
x: array([161.18762126, 49.14944657, 129. ])
xopt: array([161., 49., 130.])
zopt: array([161., 210., 340.])
*******************************************
Period: 45
direc: array([[4.98165456e-02, 2.28512222e-04, 4.64748836e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.97660409e-01, 5.04387487e+01, 3.29973824e+01]])
fopt: 0.5072877929634626
fun: -0.5063802815185542
message: 'Optimization terminated successfully.'
nfev: 461
nit: 6
status: 0
success: True
x: array([217.41715489, 104.00439968, 72.00007713])
xopt: array([217., 104., 73.])
zopt: array([217., 321., 394.])
*******************************************
Period: 46
direc: array([[-1.26952795e+02, 3.75381482e-02, 9.64266820e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.67765110e-03, 5.04448148e+01, 9.60505956e+01]])
fopt: 0.7517759698277173
fun: -0.7502666058729178
message: 'Optimization terminated successfully.'
nfev: 521
nit: 7
status: 0
success: True
x: array([154.455189 , 54.00004063, 207. ])
xopt: array([154., 54., 208.])
zopt: array([154., 208., 416.])
*******************************************
Period: 47
direc: array([[ 7.62288513e-06, 3.50578793e-08, 7.06649155e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.22211194e-13, -8.17572473e-08, -5.45048354e-08]])
fopt: 0.4012453259298871
fun: -0.399990525391973
message: 'Optimization terminated successfully.'
nfev: 537
nit: 5
status: 0
success: True
x: array([218.43717352, 6.00000006, 6.01566452])
xopt: array([218., 6., 7.])
zopt: array([218., 224., 231.])
*******************************************
Period: 48
direc: array([[-1.77691873e+00, 9.82153099e-01, 1.88082799e+00],
[ 1.22700659e-06, -1.33088128e-06, -1.28268527e-06],
[ 1.20088823e-06, 9.78712464e-01, -1.25538174e-06]])
fopt: 0.5370439900496039
fun: -0.5348527136756929
message: 'Optimization terminated successfully.'
nfev: 896
nit: 9
status: 0
success: True
x: array([150.01843644, 7.00116124, 87.03599323])
xopt: array([151., 8., 88.])
zopt: array([151., 159., 247.])
*******************************************
Period: 49
direc: array([[ 0. , 0. , 1. ],
[-183.81296107, 67.24570584, 100.86856029],
[ 0. , 25.06856473, 37.60284709]])
fopt: 0.7773076527943268
fun: -0.7753509556011303
message: 'Optimization terminated successfully.'
nfev: 834
nit: 10
status: 0
success: True
x: array([101.70232561, 101.01503894, 210. ])
xopt: array([102., 102., 211.])
zopt: array([102., 204., 415.])
*******************************************
Period: 50
direc: array([[-3.40063799e+00, 5.82735220e+00, 3.78292742e+00],
[ 8.09010479e-06, -2.76112346e-05, -1.53956864e-05],
[ 0.00000000e+00, 4.00000005e+00, -5.68434196e-14]])
fopt: 0.6563351148334314
fun: -0.6558085460824035
message: 'Optimization terminated successfully.'
nfev: 1079
nit: 12
status: 0
success: True
x: array([ 82.01567615, 137. , 83.20180643])
xopt: array([ 82., 137., 84.])
zopt: array([ 82., 219., 303.])
*******************************************
Period: 51
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.95073535e+02, 8.44219507e+01, 8.44219507e+01],
[-7.16772558e-17, -8.75909710e-08, -0.00000000e+00]])
fopt: 0.6709315585151867
fun: -0.6699765123775739
message: 'Optimization terminated successfully.'
nfev: 823
nit: 10
status: 0
success: True
x: array([ 82. , 120. , 109.00074961])
xopt: array([ 82., 121., 110.])
zopt: array([ 82., 203., 313.])
*******************************************
Period: 52
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-198.28383586, 108.28838447, 72.19225631]])
fopt: 0.615144486045182
fun: -0.6118836840620346
message: 'Optimization terminated successfully.'
nfev: 581
nit: 7
status: 0
success: True
x: array([ 81.99793606, 114.00078667, 77.19208697])
xopt: array([ 82., 115., 78.])
zopt: array([ 82., 197., 275.])
*******************************************
Period: 53
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.75988777, 0. , 2.08819924]])
fopt: 0.6723383762771394
fun: -0.6725026470502626
message: 'Optimization terminated successfully.'
nfev: 468
nit: 6
status: 0
success: True
x: array([205.02303541, 3.00171829, 220.00304552])
xopt: array([205., 3., 220.])
zopt: array([205., 208., 428.])
*******************************************
Period: 54
direc: array([[ -0.167265 , 1. , 1.06268586],
[-122.69896627, 0. , 116.27768991],
[ -0.42751987, 2. , 2.96647951]])
fopt: 0.7090599495864488
fun: -0.7077638666472872
message: 'Optimization terminated successfully.'
nfev: 872
nit: 12
status: 0
success: True
x: array([146. , 62.00631249, 213.18890933])
xopt: array([145., 63., 214.])
zopt: array([145., 208., 422.])
*******************************************
Period: 55
direc: array([[ 0. , 0. , 0. ],
[-124.71339693, 0. , 97.9412548 ],
[ 14.60741599, 0. , 11.59396124]])
fopt: 0.6648088426461743
fun: -0.6646484032108199
message: 'Optimization terminated successfully.'
nfev: 941
nit: 13
status: 0
success: True
x: array([203.83089013, 4.01473123, 215.00002162])
xopt: array([203., 5., 215.])
zopt: array([203., 208., 423.])
*******************************************
Period: 56
direc: array([[-0.16262995, 0.00393268, 0.67910315],
[ 0. , 1. , 0. ],
[ 0.12148612, -0.00287893, -0.00663134]])
fopt: 0.6199711734368404
fun: -0.6193254143174989
message: 'Optimization terminated successfully.'
nfev: 579
nit: 6
status: 0
success: True
x: array([203.99974518, 4.01064044, 178.00976895])
xopt: array([203., 5., 179.])
zopt: array([203., 208., 387.])
*******************************************
Period: 57
direc: array([[ 0. , 0. , 1. ],
[-195.06497924, 76.73648127, 115.1047219 ],
[ 0. , 41.34548175, 62.01822263]])
fopt: 0.718713852307296
fun: -0.7186438986177718
message: 'Optimization terminated successfully.'
nfev: 1125
nit: 13
status: 0
success: True
x: array([ 82.97804706, 132.01505696, 195. ])
xopt: array([ 82., 132., 195.])
zopt: array([ 82., 214., 409.])
*******************************************
Period: 58
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.84018674e+02, 1.00074859e+02, 6.00449154e+01],
[-6.31611393e-04, -8.67686583e-03, 8.63149555e-08]])
fopt: 0.5761158067201878
fun: -0.5732449047230008
message: 'Optimization terminated successfully.'
nfev: 883
nit: 10
status: 0
success: True
x: array([ 81.9999907 , 120.00003219, 71.04484115])
xopt: array([ 82., 121., 72.])
zopt: array([ 82., 203., 275.])
*******************************************
Period: 59
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.05490704e+02, 1.35192273e+02, 9.48752758e+01],
[-1.57015642e-16, -2.87876047e-09, -0.00000000e+00]])
fopt: 0.6104589326225398
fun: -0.6089545861380369
message: 'Optimization terminated successfully.'
nfev: 688
nit: 8
status: 0
success: True
x: array([ 82. , 145. , 100.03066515])
xopt: array([ 82., 146., 101.])
zopt: array([ 82., 228., 329.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpentsrdf1.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpil3tgp_z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.102226
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 0.423004 0.102226
Optimal solution found (tolerance 1.00e-02)
Best objective 4.230041104251e-01, best bound 4.230041104251e-01, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3riyzjjw.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgxt_z9pt.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.0684443
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 9.423256e-01, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 0.9423256 0.94233 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.942326 0.0684443
Optimal solution found (tolerance 1.00e-02)
Best objective 9.423256263216e-01, best bound 9.423256263216e-01, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwvwgb35v.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf_8uhigw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.210291
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 1.753573e+00, 26 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75357 0 6 0.21029 1.75357 734% - 0s
H 0 0 1.3295890 1.75357 31.9% - 0s
0 0 1.54762 0 1 1.32959 1.54762 16.4% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (32 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32959 0.210291
Optimal solution found (tolerance 1.00e-02)
Best objective 1.329589018282e+00, best bound 1.329589018282e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq3mgaa67.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4uqh9cip.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794427
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 1.814688e+00, 39 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81469 0 9 0.79443 1.81469 128% - 0s
H 0 0 1.1591710 1.81469 56.6% - 0s
H 0 0 1.2745848 1.81469 42.4% - 0s
* 0 0 0 1.3273891 1.32739 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 5
Flow cover: 3
Explored 1 nodes (51 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.32739 1.27458 1.15917 0.794427
Optimal solution found (tolerance 1.00e-02)
Best objective 1.327389105156e+00, best bound 1.327389105156e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm1u7h_r9.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiyeoe9s_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.898329
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 1.997761e+00, 60 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99776 0 4 0.89833 1.99776 122% - 0s
H 0 0 1.4788901 1.99776 35.1% - 0s
0 0 1.49474 0 1 1.47889 1.49474 1.07% - 0s
0 0 1.49468 0 1 1.47889 1.49468 1.07% - 0s
0 0 1.49468 0 1 1.47889 1.49468 1.07% - 0s
0 0 cutoff 0 1.47889 1.47889 0.00% - 0s
Cutting planes:
Gomory: 1
Explored 1 nodes (100 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.47889 0.898329
Optimal solution found (tolerance 1.00e-02)
Best objective 1.478890131389e+00, best bound 1.478890131389e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj8tf_ip6.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqhhfk_t1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09195
Presolve removed 157 rows and 107 columns
Presolve time: 0.00s
Presolved: 126 rows, 101 columns, 428 nonzeros
Variable types: 50 continuous, 51 integer (47 binary)
Root relaxation: objective 2.120461e+00, 84 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12046 0 4 1.09195 2.12046 94.2% - 0s
H 0 0 1.6081338 2.12046 31.9% - 0s
0 0 1.62662 0 1 1.60813 1.62662 1.15% - 0s
0 0 1.62662 0 1 1.60813 1.62662 1.15% - 0s
0 0 1.62662 0 2 1.60813 1.62662 1.15% - 0s
0 0 1.62608 0 1 1.60813 1.62608 1.12% - 0s
0 0 1.62564 0 1 1.60813 1.62564 1.09% - 0s
0 0 1.61675 0 1 1.60813 1.61675 0.54% - 0s
Cutting planes:
Gomory: 1
MIR: 2
Explored 1 nodes (141 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.60813 1.09195
Optimal solution found (tolerance 1.00e-02)
Best objective 1.608133820027e+00, best bound 1.616748257232e+00, gap 0.5357%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpunvm3_0c.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4gp309zy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25488
Presolve removed 165 rows and 111 columns
Presolve time: 0.01s
Presolved: 164 rows, 130 columns, 561 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 2.166199e+00, 110 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.16620 0 8 1.25488 2.16620 72.6% - 0s
H 0 0 1.5241439 2.16620 42.1% - 0s
0 0 2.03870 0 11 1.52414 2.03870 33.8% - 0s
H 0 0 1.5845280 2.03870 28.7% - 0s
0 0 1.62887 0 4 1.58453 1.62887 2.80% - 0s
H 0 0 1.5980897 1.62887 1.93% - 0s
0 0 1.62780 0 2 1.59809 1.62780 1.86% - 0s
0 0 1.62780 0 3 1.59809 1.62780 1.86% - 0s
0 0 1.60241 0 3 1.59809 1.60241 0.27% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 1
Explored 1 nodes (205 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.59809 1.58453 1.52414 1.25488
Optimal solution found (tolerance 1.00e-02)
Best objective 1.598089673842e+00, best bound 1.602406565946e+00, gap 0.2701%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9h2swk4g.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9iqy194v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29963
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.198699e+00, 125 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19870 0 11 1.29963 2.19870 69.2% - 0s
H 0 0 1.6223548 2.19870 35.5% - 0s
0 0 1.93276 0 16 1.62235 1.93276 19.1% - 0s
0 0 1.64834 0 6 1.62235 1.64834 1.60% - 0s
0 0 1.64571 0 6 1.62235 1.64571 1.44% - 0s
0 0 1.64568 0 6 1.62235 1.64568 1.44% - 0s
0 0 1.64383 0 4 1.62235 1.64383 1.32% - 0s
0 0 1.64156 0 5 1.62235 1.64156 1.18% - 0s
0 0 1.63986 0 4 1.62235 1.63986 1.08% - 0s
0 0 1.63853 0 4 1.62235 1.63853 1.00% - 0s
Cutting planes:
Gomory: 8
Cover: 1
Implied bound: 3
MIR: 5
Flow cover: 10
Explored 1 nodes (216 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62235 1.29963
Optimal solution found (tolerance 1.00e-02)
Best objective 1.622354785258e+00, best bound 1.638529126812e+00, gap 0.9970%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy8orp2zd.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0evwokpu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39356
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.067770e+00, 144 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06777 0 15 1.39356 2.06777 48.4% - 0s
H 0 0 1.4994714 2.06777 37.9% - 0s
H 0 0 1.4997361 2.06777 37.9% - 0s
0 0 1.74358 0 22 1.49974 1.74358 16.3% - 0s
0 0 1.56018 0 14 1.49974 1.56018 4.03% - 0s
0 0 1.55990 0 14 1.49974 1.55990 4.01% - 0s
0 0 1.55685 0 14 1.49974 1.55685 3.81% - 0s
0 0 1.55636 0 12 1.49974 1.55636 3.78% - 0s
0 0 1.55545 0 12 1.49974 1.55545 3.71% - 0s
0 0 1.55545 0 12 1.49974 1.55545 3.71% - 0s
0 0 1.55545 0 6 1.49974 1.55545 3.71% - 0s
H 0 0 1.5076272 1.55545 3.17% - 0s
0 0 1.50911 0 1 1.50763 1.50911 0.10% - 0s
Cutting planes:
Gomory: 7
MIR: 2
Explored 1 nodes (335 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.50763 1.49974 1.49947 1.39356
Optimal solution found (tolerance 1.00e-02)
Best objective 1.507627170553e+00, best bound 1.509107117201e+00, gap 0.0982%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi2y4ad6l.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcl30v1u4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27676
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 2.040562e+00, 162 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04056 0 16 1.27676 2.04056 59.8% - 0s
H 0 0 1.4472871 2.04056 41.0% - 0s
0 0 1.68326 0 31 1.44729 1.68326 16.3% - 0s
0 0 1.51929 0 16 1.44729 1.51929 4.97% - 0s
0 0 1.51926 0 15 1.44729 1.51926 4.97% - 0s
0 0 1.51802 0 15 1.44729 1.51802 4.89% - 0s
0 0 1.51802 0 13 1.44729 1.51802 4.89% - 0s
0 0 1.51802 0 9 1.44729 1.51802 4.89% - 0s
H 0 0 1.4557950 1.51802 4.27% - 0s
0 0 1.49608 0 7 1.45580 1.49608 2.77% - 0s
H 0 0 1.4592579 1.49608 2.52% - 0s
0 0 1.49447 0 3 1.45926 1.49447 2.41% - 0s
H 0 0 1.4600490 1.49447 2.36% - 0s
0 0 1.49405 0 4 1.46005 1.49405 2.33% - 0s
0 0 1.46745 0 2 1.46005 1.46745 0.51% - 0s
Cutting planes:
Gomory: 11
Implied bound: 1
Explored 1 nodes (430 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.46005 1.45926 1.4558 ... 1.27676
Optimal solution found (tolerance 1.00e-02)
Best objective 1.460048999748e+00, best bound 1.467447025368e+00, gap 0.5067%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0k3__7dx.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_ug6f0ny.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25287
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 2.074284e+00, 192 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07428 0 19 1.25287 2.07428 65.6% - 0s
0 0 1.68953 0 35 1.25287 1.68953 34.9% - 0s
0 0 1.68937 0 37 1.25287 1.68937 34.8% - 0s
0 0 1.56774 0 16 1.25287 1.56774 25.1% - 0s
0 0 1.56772 0 15 1.25287 1.56772 25.1% - 0s
0 0 1.56744 0 15 1.25287 1.56744 25.1% - 0s
0 0 1.56744 0 15 1.25287 1.56744 25.1% - 0s
H 0 0 1.4029596 1.56744 11.7% - 0s
0 2 1.56744 0 15 1.40296 1.56744 11.7% - 0s
* 76 16 15 1.4461551 1.48543 2.72% 5.5 0s
Cutting planes:
Gomory: 9
Implied bound: 6
Flow cover: 22
Explored 94 nodes (845 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.44616 1.40296 1.25287
Optimal solution found (tolerance 1.00e-02)
Best objective 1.446155060591e+00, best bound 1.450774004803e+00, gap 0.3194%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6xwa0erv.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjynb3t2g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29147
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.979013e+00, 219 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97901 0 20 1.29147 1.97901 53.2% - 0s
H 0 0 1.3699346 1.97901 44.5% - 0s
0 0 1.56897 0 37 1.36993 1.56897 14.5% - 0s
0 0 1.50410 0 23 1.36993 1.50410 9.79% - 0s
0 0 1.50286 0 25 1.36993 1.50286 9.70% - 0s
0 0 1.50286 0 23 1.36993 1.50286 9.70% - 0s
0 2 1.48379 0 16 1.36993 1.48379 8.31% - 0s
* 55 19 17 1.3771598 1.45093 5.36% 4.7 0s
Cutting planes:
Gomory: 14
Cover: 1
Implied bound: 9
Flow cover: 13
Inf proof: 2
Explored 101 nodes (945 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.37716 1.36993 1.29147
Optimal solution found (tolerance 1.00e-02)
Best objective 1.377159816243e+00, best bound 1.377159816243e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1qfwswur.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe6uimbxl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22348
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.970664e+00, 238 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97066 0 23 1.22348 1.97066 61.1% - 0s
0 0 1.53877 0 36 1.22348 1.53877 25.8% - 0s
0 0 1.53647 0 38 1.22348 1.53647 25.6% - 0s
0 0 1.53647 0 38 1.22348 1.53647 25.6% - 0s
0 2 1.53647 0 37 1.22348 1.53647 25.6% - 0s
* 161 62 32 1.3571451 1.48208 9.21% 6.7 0s
* 212 42 27 1.3754694 1.44777 5.26% 6.8 0s
* 309 4 23 1.3762680 1.40654 2.20% 6.3 0s
Cutting planes:
Gomory: 14
Implied bound: 7
Flow cover: 15
Inf proof: 3
Explored 344 nodes (2489 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.37627 1.37547 1.35715 1.22348
Optimal solution found (tolerance 1.00e-02)
Best objective 1.376267997418e+00, best bound 1.376267997418e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi7yaczef.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkzb8o1xf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22875
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.972652e+00, 266 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.97265 0 26 1.22875 1.97265 60.5% - 0s
0 0 1.52349 0 32 1.22875 1.52349 24.0% - 0s
0 0 1.52345 0 32 1.22875 1.52345 24.0% - 0s
0 0 1.52024 0 31 1.22875 1.52024 23.7% - 0s
0 0 1.51941 0 31 1.22875 1.51941 23.7% - 0s
0 0 1.51941 0 31 1.22875 1.51941 23.7% - 0s
0 0 1.51936 0 31 1.22875 1.51936 23.7% - 0s
0 0 1.51936 0 31 1.22875 1.51936 23.7% - 0s
0 2 1.51936 0 31 1.22875 1.51936 23.7% - 0s
* 79 41 28 1.3811940 1.46756 6.25% 6.0 0s
* 149 35 26 1.3815161 1.42942 3.47% 5.1 0s
Cutting planes:
Gomory: 14
Implied bound: 3
MIR: 2
Flow cover: 18
Explored 270 nodes (1726 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.38152 1.38119 1.22875
Optimal solution found (tolerance 1.00e-02)
Best objective 1.381516113762e+00, best bound 1.392248203630e+00, gap 0.7768%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuf6mgrbk.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplcjtr9pr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24111
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.944629e+00, 309 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94463 0 29 1.24111 1.94463 56.7% - 0s
0 0 1.51942 0 36 1.24111 1.51942 22.4% - 0s
0 0 1.51939 0 38 1.24111 1.51939 22.4% - 0s
0 0 1.49108 0 38 1.24111 1.49108 20.1% - 0s
0 0 1.48760 0 25 1.24111 1.48760 19.9% - 0s
0 0 1.48690 0 23 1.24111 1.48690 19.8% - 0s
0 0 1.48649 0 23 1.24111 1.48649 19.8% - 0s
0 0 1.48649 0 23 1.24111 1.48649 19.8% - 0s
0 2 1.48649 0 23 1.24111 1.48649 19.8% - 0s
* 104 41 35 1.3493746 1.42278 5.44% 5.3 0s
* 858 0 28 1.3528037 1.36648 1.01% 4.1 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 8
MIR: 2
Flow cover: 15
Inf proof: 8
Explored 948 nodes (4467 simplex iterations) in 0.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.3528 1.34937 1.24111
Optimal solution found (tolerance 1.00e-02)
Best objective 1.352803735299e+00, best bound 1.352803735299e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe4tj3hz6.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2ao8xim3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24101
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.894278e+00, 332 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89428 0 35 1.24101 1.89428 52.6% - 0s
0 0 1.47411 0 30 1.24101 1.47411 18.8% - 0s
0 0 1.47409 0 33 1.24101 1.47409 18.8% - 0s
0 0 1.45789 0 30 1.24101 1.45789 17.5% - 0s
0 0 1.45789 0 30 1.24101 1.45789 17.5% - 0s
0 0 1.45727 0 31 1.24101 1.45727 17.4% - 0s
0 0 1.45727 0 26 1.24101 1.45727 17.4% - 0s
0 2 1.45727 0 26 1.24101 1.45727 17.4% - 0s
* 102 53 36 1.3150510 1.41451 7.56% 6.0 0s
* 458 78 34 1.3153328 1.36040 3.43% 4.7 0s
Cutting planes:
Gomory: 13
Implied bound: 3
Flow cover: 16
Inf proof: 10
Explored 810 nodes (4327 simplex iterations) in 0.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31533 1.31505 1.24101
Optimal solution found (tolerance 1.00e-02)
Best objective 1.315332800979e+00, best bound 1.315332800979e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7wr7pv4i.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzesr7b1u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19165
Presolve removed 298 rows and 195 columns
Presolve time: 0.02s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.874426e+00, 332 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.87443 0 35 1.19165 1.87443 57.3% - 0s
0 0 1.44478 0 29 1.19165 1.44478 21.2% - 0s
0 0 1.44478 0 29 1.19165 1.44478 21.2% - 0s
0 0 1.44471 0 29 1.19165 1.44471 21.2% - 0s
0 0 1.44471 0 27 1.19165 1.44471 21.2% - 0s
0 2 1.44471 0 27 1.19165 1.44471 21.2% - 0s
* 123 78 46 1.2721532 1.38635 8.98% 5.2 0s
* 1558 230 36 1.2759619 1.32546 3.88% 5.7 0s
* 1574 216 41 1.2802309 1.32529 3.52% 5.7 0s
* 1592 175 39 1.2901079 1.32441 2.66% 5.6 0s
* 1627 154 37 1.2930767 1.32326 2.33% 5.6 0s
Cutting planes:
Gomory: 20
Cover: 6
Implied bound: 19
Flow cover: 19
Inf proof: 23
Explored 1994 nodes (11710 simplex iterations) in 1.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.29308 1.29011 1.28023 ... 1.19165
Optimal solution found (tolerance 1.00e-02)
Best objective 1.293076729843e+00, best bound 1.293387029172e+00, gap 0.0240%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprkw4srbs.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnemjizqz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19357
Presolve removed 312 rows and 204 columns
Presolve time: 0.02s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.815661e+00, 365 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.81566 0 40 1.19357 1.81566 52.1% - 0s
0 0 1.39608 0 39 1.19357 1.39608 17.0% - 0s
0 0 1.39608 0 39 1.19357 1.39608 17.0% - 0s
0 0 1.39602 0 39 1.19357 1.39602 17.0% - 0s
0 0 1.39602 0 34 1.19357 1.39602 17.0% - 0s
0 2 1.39602 0 34 1.19357 1.39602 17.0% - 0s
H 1912 537 1.2014194 1.28236 6.74% 6.1 1s
* 1980 371 48 1.2449573 1.27914 2.75% 6.2 1s
H 2169 275 1.2449573 1.27188 2.16% 6.3 1s
Cutting planes:
Gomory: 23
Cover: 8
Implied bound: 23
MIR: 1
Flow cover: 23
Inf proof: 17
Explored 2370 nodes (15786 simplex iterations) in 1.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.24496 1.24496 1.20142 1.19357
Optimal solution found (tolerance 1.00e-02)
Best objective 1.244957338044e+00, best bound 1.256667162776e+00, gap 0.9406%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_hhxqng3.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4kothtzv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.13779
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.782505e+00, 375 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78250 0 43 1.13779 1.78250 56.7% - 0s
0 0 1.37286 0 37 1.13779 1.37286 20.7% - 0s
0 0 1.37280 0 38 1.13779 1.37280 20.7% - 0s
0 0 1.32244 0 39 1.13779 1.32244 16.2% - 0s
0 0 1.32240 0 40 1.13779 1.32240 16.2% - 0s
0 0 1.32209 0 42 1.13779 1.32209 16.2% - 0s
0 0 1.32209 0 37 1.13779 1.32209 16.2% - 0s
0 2 1.32209 0 37 1.13779 1.32209 16.2% - 0s
* 447 204 60 1.1889931 1.29358 8.80% 6.9 0s
* 1698 602 55 1.1958000 1.24542 4.15% 7.0 2s
* 1700 571 56 1.1962559 1.24542 4.11% 7.0 2s
* 2217 370 47 1.1983304 1.20875 0.87% 6.8 2s
Cutting planes:
Learned: 1
Gomory: 42
Cover: 8
Implied bound: 5
Projected implied bound: 15
Clique: 1
MIR: 4
Flow cover: 27
Inf proof: 8
Explored 2222 nodes (15819 simplex iterations) in 2.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.19833 1.19626 1.1958 ... 1.13779
Optimal solution found (tolerance 1.00e-02)
Best objective 1.198330400905e+00, best bound 1.208754565179e+00, gap 0.8699%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr2sl8044.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjfx90hnr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09795
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.756105e+00, 444 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75611 0 46 1.09795 1.75611 59.9% - 0s
0 0 1.33100 0 42 1.09795 1.33100 21.2% - 0s
0 0 1.33098 0 42 1.09795 1.33098 21.2% - 0s
0 0 1.29912 0 48 1.09795 1.29912 18.3% - 0s
0 0 1.29827 0 46 1.09795 1.29827 18.2% - 0s
0 0 1.29827 0 46 1.09795 1.29827 18.2% - 0s
0 0 1.29800 0 50 1.09795 1.29800 18.2% - 0s
0 0 1.29800 0 41 1.09795 1.29800 18.2% - 0s
0 2 1.29800 0 41 1.09795 1.29800 18.2% - 0s
H 861 327 1.1690874 1.26467 8.18% 5.7 0s
* 1099 312 56 1.1704639 1.20571 3.01% 7.7 3s
* 1228 228 54 1.1711465 1.19164 1.75% 7.5 3s
Cutting planes:
Gomory: 40
Cover: 6
Implied bound: 2
Projected implied bound: 25
Clique: 1
MIR: 8
Flow cover: 57
Inf proof: 7
Explored 1291 nodes (10517 simplex iterations) in 3.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.17115 1.17046 1.16909 1.09795
Optimal solution found (tolerance 1.00e-02)
Best objective 1.171146535486e+00, best bound 1.178734444128e+00, gap 0.6479%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp96fv733l.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzwakzvtf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08133
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.724591e+00, 456 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.72459 0 51 1.08133 1.72459 59.5% - 0s
0 0 1.30252 0 48 1.08133 1.30252 20.5% - 0s
0 0 1.30250 0 48 1.08133 1.30250 20.5% - 0s
0 0 1.27326 0 56 1.08133 1.27326 17.7% - 0s
0 0 1.27268 0 55 1.08133 1.27268 17.7% - 0s
0 0 1.27268 0 55 1.08133 1.27268 17.7% - 0s
0 0 1.27241 0 57 1.08133 1.27241 17.7% - 0s
0 0 1.27241 0 51 1.08133 1.27241 17.7% - 0s
0 2 1.27241 0 48 1.08133 1.27241 17.7% - 0s
H 814 464 1.0929353 1.22489 12.1% 7.1 0s
* 2042 283 68 1.1347768 1.15560 1.84% 10.5 4s
* 2323 177 63 1.1405760 1.15451 1.22% 10.3 4s
Cutting planes:
Gomory: 45
Cover: 2
Implied bound: 8
Projected implied bound: 10
Clique: 2
MIR: 11
Flow cover: 73
Inf proof: 14
Explored 2552 nodes (26575 simplex iterations) in 4.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.14058 1.13478 1.09294 1.08133
Optimal solution found (tolerance 1.00e-02)
Best objective 1.140575961456e+00, best bound 1.150543078631e+00, gap 0.8739%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpur6wpow_.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0jcotp7h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09588
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.651713e+00, 445 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65171 0 51 1.09588 1.65171 50.7% - 0s
0 0 1.32635 0 47 1.09588 1.32635 21.0% - 0s
0 0 1.32601 0 51 1.09588 1.32601 21.0% - 0s
0 0 1.30398 0 56 1.09588 1.30398 19.0% - 0s
0 0 1.28445 0 59 1.09588 1.28445 17.2% - 0s
0 0 1.28075 0 61 1.09588 1.28075 16.9% - 0s
0 0 1.26420 0 62 1.09588 1.26420 15.4% - 0s
0 0 1.26383 0 64 1.09588 1.26383 15.3% - 0s
0 0 1.26374 0 64 1.09588 1.26374 15.3% - 0s
0 0 1.25329 0 64 1.09588 1.25329 14.4% - 0s
0 0 1.25298 0 64 1.09588 1.25298 14.3% - 0s
0 0 1.25298 0 65 1.09588 1.25298 14.3% - 0s
0 0 1.25298 0 63 1.09588 1.25298 14.3% - 0s
0 2 1.25298 0 63 1.09588 1.25298 14.3% - 0s
* 1511 346 58 1.0964921 1.15264 5.12% 8.9 1s
Cutting planes:
Gomory: 25
Cover: 21
Implied bound: 26
MIR: 3
Flow cover: 40
Inf proof: 45
Explored 3611 nodes (31713 simplex iterations) in 2.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.09649 1.09588
Optimal solution found (tolerance 1.00e-02)
Best objective 1.096492127390e+00, best bound 1.106249086498e+00, gap 0.8898%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdf2mulao.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmzt2z2mb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08949
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.606635e+00, 497 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60664 0 54 1.08949 1.60664 47.5% - 0s
0 0 1.28411 0 54 1.08949 1.28411 17.9% - 0s
0 0 1.28407 0 54 1.08949 1.28407 17.9% - 0s
0 0 1.23958 0 61 1.08949 1.23958 13.8% - 0s
0 0 1.23460 0 62 1.08949 1.23460 13.3% - 0s
0 0 1.23460 0 62 1.08949 1.23460 13.3% - 0s
0 0 1.23417 0 70 1.08949 1.23417 13.3% - 0s
0 0 1.23417 0 70 1.08949 1.23417 13.3% - 0s
0 0 1.23367 0 74 1.08949 1.23367 13.2% - 0s
0 0 1.23367 0 72 1.08949 1.23367 13.2% - 0s
0 2 1.23367 0 72 1.08949 1.23367 13.2% - 0s
H 2927 227 1.0894862 1.11156 2.03% 7.6 2s
Cutting planes:
Gomory: 24
Cover: 7
Implied bound: 18
MIR: 3
Flow cover: 39
Inf proof: 28
Explored 3322 nodes (25814 simplex iterations) in 2.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.08949 1.08949
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.6763e-06) exceeds tolerance
Best objective 1.089486176957e+00, best bound 1.099930199805e+00, gap 0.9586%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyyanlp3x.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_bssfabh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08656
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.585778e+00, 514 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58578 0 54 1.08656 1.58578 45.9% - 0s
0 0 1.27857 0 65 1.08656 1.27857 17.7% - 0s
0 0 1.27857 0 65 1.08656 1.27857 17.7% - 0s
0 0 1.27200 0 66 1.08656 1.27200 17.1% - 0s
0 0 1.27198 0 66 1.08656 1.27198 17.1% - 0s
0 0 1.26986 0 70 1.08656 1.26986 16.9% - 0s
0 0 1.26986 0 64 1.08656 1.26986 16.9% - 0s
0 2 1.26986 0 64 1.08656 1.26986 16.9% - 0s
H 1513 468 1.0865581 1.17832 8.44% 8.3 1s
3846 497 1.10083 50 32 1.08656 1.11495 2.61% 9.3 5s
Cutting planes:
Gomory: 49
Cover: 8
Implied bound: 2
Projected implied bound: 9
MIR: 6
Flow cover: 26
Inf proof: 11
Explored 4449 nodes (41925 simplex iterations) in 5.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.08656 1.08656
Optimal solution found (tolerance 1.00e-02)
Best objective 1.086558120526e+00, best bound 1.097278964238e+00, gap 0.9867%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwv0_38h_.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp359yyq0l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04617
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.521612e+00, 552 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.52161 0 53 1.04617 1.52161 45.4% - 0s
0 0 1.23237 0 62 1.04617 1.23237 17.8% - 0s
0 0 1.23237 0 62 1.04617 1.23237 17.8% - 0s
0 0 1.22529 0 69 1.04617 1.22529 17.1% - 0s
0 0 1.22527 0 69 1.04617 1.22527 17.1% - 0s
0 0 1.22471 0 75 1.04617 1.22471 17.1% - 0s
0 0 1.22471 0 65 1.04617 1.22471 17.1% - 0s
0 2 1.22471 0 65 1.04617 1.22471 17.1% - 0s
Cutting planes:
Gomory: 59
Cover: 2
Implied bound: 8
Projected implied bound: 18
Clique: 4
MIR: 3
Flow cover: 26
Inf proof: 18
Explored 2453 nodes (22053 simplex iterations) in 3.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.04617
Optimal solution found (tolerance 1.00e-02)
Best objective 1.046172598652e+00, best bound 1.056545159091e+00, gap 0.9915%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf94t3tvm.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqplgniyp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04758
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.502024e+00, 557 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50202 0 57 1.04758 1.50202 43.4% - 0s
0 0 1.25147 0 64 1.04758 1.25147 19.5% - 0s
0 0 1.23597 0 64 1.04758 1.23597 18.0% - 0s
0 0 1.23588 0 62 1.04758 1.23588 18.0% - 0s
0 0 1.19267 0 79 1.04758 1.19267 13.9% - 0s
0 0 1.19216 0 79 1.04758 1.19216 13.8% - 0s
0 0 1.19216 0 79 1.04758 1.19216 13.8% - 0s
0 0 1.19178 0 81 1.04758 1.19178 13.8% - 0s
0 0 1.19178 0 69 1.04758 1.19178 13.8% - 0s
0 2 1.19178 0 67 1.04758 1.19178 13.8% - 0s
1532 448 cutoff 23 1.04758 1.10636 5.61% 17.1 5s
Cutting planes:
Learned: 1
Gomory: 76
Cover: 8
Implied bound: 12
Projected implied bound: 14
Clique: 1
MIR: 41
Flow cover: 136
Inf proof: 15
Explored 4426 nodes (81528 simplex iterations) in 9.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.04758
Optimal solution found (tolerance 1.00e-02)
Best objective 1.047578590421e+00, best bound 1.057416105831e+00, gap 0.9391%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0hi4i0qg.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwghxk8fw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03571
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.457803e+00, 578 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45780 0 62 1.03571 1.45780 40.8% - 0s
0 0 1.23786 0 68 1.03571 1.23786 19.5% - 0s
0 0 1.23128 0 64 1.03571 1.23128 18.9% - 0s
0 0 1.19204 0 81 1.03571 1.19204 15.1% - 0s
0 0 1.19189 0 81 1.03571 1.19189 15.1% - 0s
0 0 1.18901 0 89 1.03571 1.18901 14.8% - 0s
0 0 1.18343 0 89 1.03571 1.18343 14.3% - 0s
0 0 1.18343 0 90 1.03571 1.18343 14.3% - 0s
0 0 1.18309 0 90 1.03571 1.18309 14.2% - 0s
0 0 1.18125 0 89 1.03571 1.18125 14.1% - 0s
0 0 1.18125 0 78 1.03571 1.18125 14.1% - 0s
0 2 1.18125 0 78 1.03571 1.18125 14.1% - 0s
2842 658 1.03964 36 77 1.03571 1.08219 4.49% 12.3 5s
H 5030 512 1.0357083 1.05153 1.53% 12.5 7s
Cutting planes:
Gomory: 70
Cover: 1
Implied bound: 8
Projected implied bound: 15
MIR: 6
Flow cover: 34
Inf proof: 25
Explored 5603 nodes (70647 simplex iterations) in 8.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.03571 1.03571
Optimal solution found (tolerance 1.00e-02)
Best objective 1.035708271524e+00, best bound 1.044351471669e+00, gap 0.8345%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr0010ubm.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk0459u6t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02291
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.421365e+00, 694 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42137 0 61 1.02291 1.42137 39.0% - 0s
0 0 1.20873 0 72 1.02291 1.20873 18.2% - 0s
0 0 1.20254 0 71 1.02291 1.20254 17.6% - 0s
0 0 1.18209 0 83 1.02291 1.18209 15.6% - 0s
0 0 1.18207 0 83 1.02291 1.18207 15.6% - 0s
0 0 1.18173 0 89 1.02291 1.18173 15.5% - 0s
0 0 1.18173 0 81 1.02291 1.18173 15.5% - 0s
0 2 1.18173 0 81 1.02291 1.18173 15.5% - 0s
2287 537 1.06113 27 81 1.02291 1.07681 5.27% 11.9 5s
H 3660 670 1.0230179 1.06264 3.87% 12.4 7s
5369 591 1.02903 56 32 1.02302 1.04125 1.78% 12.7 10s
Cutting planes:
Gomory: 61
Cover: 25
Implied bound: 13
Projected implied bound: 14
MIR: 19
Flow cover: 54
Inf proof: 34
Explored 6819 nodes (83036 simplex iterations) in 11.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.02302 1.02291
Optimal solution found (tolerance 1.00e-02)
Best objective 1.023017910259e+00, best bound 1.032836268786e+00, gap 0.9597%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe_a3zggi.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqza4wx_l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.993121
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.374532e+00, 666 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37453 0 60 0.99312 1.37453 38.4% - 0s
0 0 1.17776 0 67 0.99312 1.17776 18.6% - 0s
0 0 1.17775 0 67 0.99312 1.17775 18.6% - 0s
0 0 1.14454 0 82 0.99312 1.14454 15.2% - 0s
0 0 1.14400 0 82 0.99312 1.14400 15.2% - 0s
0 0 1.14400 0 82 0.99312 1.14400 15.2% - 0s
0 0 1.14304 0 87 0.99312 1.14304 15.1% - 0s
0 0 1.14304 0 76 0.99312 1.14304 15.1% - 0s
0 2 1.14304 0 73 0.99312 1.14304 15.1% - 0s
3321 402 cutoff 61 0.99312 1.00495 1.19% 9.9 5s
Cutting planes:
Gomory: 65
Implied bound: 7
Projected implied bound: 11
MIR: 6
Flow cover: 31
Inf proof: 14
Network: 1
Explored 3751 nodes (37511 simplex iterations) in 5.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.993121
Optimal solution found (tolerance 1.00e-02)
Best objective 9.931212081572e-01, best bound 1.001618578879e+00, gap 0.8556%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzafpf8ei.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp94dikteo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.994478
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.363422e+00, 718 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36342 0 64 0.99448 1.36342 37.1% - 0s
0 0 1.14728 0 89 0.99448 1.14728 15.4% - 0s
0 0 1.14586 0 90 0.99448 1.14586 15.2% - 0s
0 0 1.14577 0 90 0.99448 1.14577 15.2% - 0s
0 0 1.13726 0 76 0.99448 1.13726 14.4% - 0s
0 0 1.13701 0 78 0.99448 1.13701 14.3% - 0s
0 0 1.13647 0 85 0.99448 1.13647 14.3% - 0s
0 0 1.13647 0 75 0.99448 1.13647 14.3% - 0s
0 2 1.13647 0 75 0.99448 1.13647 14.3% - 0s
2087 411 1.00442 35 65 0.99448 1.05157 5.74% 15.7 5s
Cutting planes:
Gomory: 77
Cover: 5
Implied bound: 10
Projected implied bound: 15
Clique: 1
MIR: 8
Flow cover: 29
Inf proof: 33
Explored 4914 nodes (71135 simplex iterations) in 8.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.994478
Optimal solution found (tolerance 1.00e-02)
Best objective 9.944777886559e-01, best bound 1.003837847986e+00, gap 0.9412%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1_p8e9c5.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0g44y6rx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.979887
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.338426e+00, 766 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33843 0 70 0.97989 1.33843 36.6% - 0s
0 0 1.13850 0 95 0.97989 1.13850 16.2% - 0s
0 0 1.13744 0 95 0.97989 1.13744 16.1% - 0s
0 0 1.13735 0 95 0.97989 1.13735 16.1% - 0s
0 0 1.12886 0 83 0.97989 1.12886 15.2% - 0s
0 0 1.12860 0 85 0.97989 1.12860 15.2% - 0s
0 0 1.12815 0 91 0.97989 1.12815 15.1% - 0s
0 0 1.12815 0 80 0.97989 1.12815 15.1% - 0s
0 2 1.12815 0 80 0.97989 1.12815 15.1% - 0s
1662 589 1.01137 56 52 0.97989 1.05942 8.12% 15.3 5s
5828 805 0.99037 73 50 0.97989 0.99339 1.38% 13.4 10s
Cutting planes:
Gomory: 78
Cover: 5
Implied bound: 17
Projected implied bound: 13
Clique: 1
MIR: 16
Flow cover: 31
Inf proof: 18
Explored 7566 nodes (90845 simplex iterations) in 11.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.979887
Optimal solution found (tolerance 1.00e-02)
Best objective 9.798867444868e-01, best bound 9.895869004899e-01, gap 0.9899%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc0vxjsta.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppnf8d09d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.976477
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.325900e+00, 722 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32590 0 69 0.97648 1.32590 35.8% - 0s
0 0 1.13518 0 92 0.97648 1.13518 16.3% - 0s
0 0 1.13518 0 92 0.97648 1.13518 16.3% - 0s
0 0 1.12737 0 80 0.97648 1.12737 15.5% - 0s
0 0 1.12705 0 81 0.97648 1.12705 15.4% - 0s
0 0 1.12597 0 85 0.97648 1.12597 15.3% - 0s
0 0 1.12584 0 85 0.97648 1.12584 15.3% - 0s
0 0 1.12584 0 78 0.97648 1.12584 15.3% - 0s
0 2 1.12584 0 78 0.97648 1.12584 15.3% - 0s
2093 472 0.99640 28 85 0.97648 1.03860 6.36% 14.9 5s
H 2974 395 0.9764773 1.01984 4.44% 16.3 7s
H 2981 395 0.9764773 1.01920 4.38% 16.3 7s
4486 531 cutoff 43 0.97648 0.99992 2.40% 16.1 10s
Cutting planes:
Gomory: 68
Cover: 1
Implied bound: 9
Projected implied bound: 9
MIR: 12
Flow cover: 39
Inf proof: 44
Explored 9060 nodes (107132 simplex iterations) in 13.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.976477 0.976477 0.976477
Optimal solution found (tolerance 1.00e-02)
Best objective 9.764772551015e-01, best bound 9.861446733543e-01, gap 0.9900%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr2zn8vj8.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgv600umm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x1569_ by 0.999999959
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.286062e+00, 782 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28606 0 72 - 1.28606 - - 0s
Another try with MIP start
H 0 0 0.9498788 1.28606 35.4% - 0s
0 0 1.10386 0 95 0.94988 1.10386 16.2% - 0s
0 0 1.10386 0 95 0.94988 1.10386 16.2% - 0s
0 0 1.09554 0 88 0.94988 1.09554 15.3% - 0s
0 0 1.09531 0 87 0.94988 1.09531 15.3% - 0s
0 0 1.09491 0 95 0.94988 1.09491 15.3% - 0s
0 0 1.09491 0 84 0.94988 1.09491 15.3% - 0s
0 2 1.09491 0 84 0.94988 1.09491 15.3% - 0s
1752 607 cutoff 36 0.94988 1.02558 7.97% 13.5 5s
4315 699 0.96845 28 74 0.94988 0.98859 4.08% 14.6 10s
8454 1091 infeasible 86 0.94988 0.96529 1.62% 12.6 15s
H13085 1983 0.9498788 0.95968 1.03% 10.5 18s
Cutting planes:
Learned: 1
Gomory: 102
Cover: 1
Implied bound: 16
Projected implied bound: 14
MIR: 7
Flow cover: 26
Inf proof: 66
Explored 13115 nodes (139517 simplex iterations) in 18.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.949879 0.949879
Optimal solution found (tolerance 1.00e-02)
Best objective 9.498788089800e-01, best bound 9.589197071852e-01, gap 0.9518%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuolvrd2p.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp__hoihg8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.93386
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.260005e+00, 814 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26001 0 74 0.93386 1.26001 34.9% - 0s
0 0 1.08916 0 100 0.93386 1.08916 16.6% - 0s
0 0 1.08581 0 101 0.93386 1.08581 16.3% - 0s
0 0 1.07841 0 93 0.93386 1.07841 15.5% - 0s
0 0 1.07836 0 95 0.93386 1.07836 15.5% - 0s
0 0 1.07787 0 98 0.93386 1.07787 15.4% - 0s
0 0 1.07787 0 85 0.93386 1.07787 15.4% - 0s
0 2 1.07787 0 85 0.93386 1.07787 15.4% - 0s
1669 541 1.00693 29 91 0.93386 1.02207 9.45% 15.4 5s
H 3429 601 0.9338597 0.98777 5.77% 18.3 9s
H 3489 610 0.9338597 0.98726 5.72% 18.2 9s
3896 632 0.97333 35 84 0.93386 0.98128 5.08% 18.2 10s
7144 981 0.94763 39 90 0.93386 0.95543 2.31% 16.3 15s
11854 1625 0.94583 73 55 0.93386 0.94583 1.28% 13.3 20s
Cutting planes:
Gomory: 77
Cover: 4
Implied bound: 19
Projected implied bound: 12
Clique: 1
MIR: 4
Flow cover: 45
Inf proof: 91
Explored 13842 nodes (176383 simplex iterations) in 21.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.93386 0.93386 0.93386
Optimal solution found (tolerance 1.00e-02)
Best objective 9.338597402649e-01, best bound 9.431735903565e-01, gap 0.9973%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0dqebc93.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1g2kc1wg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.909585
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.223394e+00, 821 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22339 0 77 0.90958 1.22339 34.5% - 0s
0 0 1.08449 0 106 0.90958 1.08449 19.2% - 0s
0 0 1.08449 0 106 0.90958 1.08449 19.2% - 0s
0 0 1.07857 0 104 0.90958 1.07857 18.6% - 0s
0 0 1.07836 0 103 0.90958 1.07836 18.6% - 0s
0 0 1.07795 0 106 0.90958 1.07795 18.5% - 0s
0 0 1.07795 0 96 0.90958 1.07795 18.5% - 0s
0 2 1.07795 0 96 0.90958 1.07795 18.5% - 0s
1449 567 0.97341 30 92 0.90958 0.98390 8.17% 16.0 5s
6690 1375 0.91699 82 62 0.90958 0.92652 1.86% 12.0 10s
12753 2178 cutoff 94 0.90958 0.92035 1.18% 11.0 15s
Cutting planes:
Gomory: 76
Cover: 4
Implied bound: 20
Projected implied bound: 18
Clique: 4
MIR: 6
Flow cover: 35
Inf proof: 63
Explored 15134 nodes (167368 simplex iterations) in 17.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.909585
Optimal solution found (tolerance 1.00e-02)
Best objective 9.095846043062e-01, best bound 9.186626551108e-01, gap 0.9980%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpklfd9kph.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpttwst1dq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.902333
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.209589e+00, 881 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20959 0 78 0.90233 1.20959 34.1% - 0s
0 0 1.10259 0 104 0.90233 1.10259 22.2% - 0s
0 0 1.10259 0 104 0.90233 1.10259 22.2% - 0s
0 0 1.08855 0 113 0.90233 1.08855 20.6% - 0s
0 0 1.08843 0 113 0.90233 1.08843 20.6% - 0s
0 0 1.08739 0 117 0.90233 1.08739 20.5% - 0s
0 0 1.08735 0 117 0.90233 1.08735 20.5% - 0s
0 0 1.08735 0 99 0.90233 1.08735 20.5% - 0s
0 2 1.08735 0 99 0.90233 1.08735 20.5% - 0s
1227 542 0.91901 94 53 0.90233 1.00497 11.4% 15.8 5s
H 3184 1104 0.9023332 0.98496 9.16% 16.3 8s
4050 1359 0.94214 31 107 0.90233 0.98181 8.81% 16.2 10s
H 5562 1770 0.9023332 0.97436 7.98% 16.8 12s
6563 1887 cutoff 42 0.90233 0.96844 7.33% 17.6 15s
H 6916 1941 0.9024109 0.96700 7.16% 17.5 15s
9103 2245 0.91297 48 89 0.90241 0.95911 6.28% 18.1 20s
H 9258 2272 0.9024109 0.95882 6.25% 18.1 20s
12404 2536 cutoff 41 0.90241 0.95021 5.30% 18.7 25s
H14123 2734 0.9024109 0.94579 4.81% 18.9 28s
15132 2857 cutoff 50 0.90241 0.94398 4.61% 18.9 30s
18070 3405 cutoff 49 0.90241 0.93971 4.13% 18.7 35s
20776 3789 0.91987 48 92 0.90241 0.93693 3.83% 18.8 48s
21865 3972 0.91714 41 108 0.90241 0.93574 3.69% 18.8 50s
24135 4116 cutoff 57 0.90241 0.93385 3.48% 19.9 55s
26701 4175 infeasible 38 0.90241 0.93087 3.15% 20.8 60s
28405 4215 cutoff 66 0.90241 0.92931 2.98% 21.2 65s
31209 4238 cutoff 51 0.90241 0.92642 2.66% 21.8 70s
33982 4123 cutoff 35 0.90241 0.92352 2.34% 22.2 75s
36349 3814 0.91408 44 116 0.90241 0.92090 2.05% 22.5 80s
38924 3559 cutoff 70 0.90241 0.91832 1.76% 22.6 85s
42039 3044 cutoff 81 0.90241 0.91508 1.40% 22.5 90s
44808 2406 cutoff 49 0.90241 0.91221 1.09% 22.2 95s
Cutting planes:
Gomory: 107
Cover: 7
Implied bound: 53
Projected implied bound: 34
MIR: 32
Flow cover: 107
Inf proof: 166
Explored 45417 nodes (1008684 simplex iterations) in 96.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.902411 0.902411 0.902411 ... 0.902333
Optimal solution found (tolerance 1.00e-02)
Best objective 9.024109005257e-01, best bound 9.112280258511e-01, gap 0.9771%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3enwymb8.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0a3b3agd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.888375
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.190269e+00, 914 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19027 0 79 0.88838 1.19027 34.0% - 0s
0 0 1.07428 0 110 0.88838 1.07428 20.9% - 0s
0 0 1.07428 0 110 0.88838 1.07428 20.9% - 0s
0 0 1.06006 0 113 0.88838 1.06006 19.3% - 0s
0 0 1.06000 0 112 0.88838 1.06000 19.3% - 0s
0 0 1.05953 0 117 0.88838 1.05953 19.3% - 0s
0 0 1.05953 0 117 0.88838 1.05953 19.3% - 0s
0 2 1.05953 0 115 0.88838 1.05953 19.3% - 0s
H 811 496 0.8883754 1.01674 14.4% 17.4 4s
1126 558 0.99024 20 102 0.88838 1.00261 12.9% 18.3 5s
3073 822 0.95432 27 90 0.88838 0.96504 8.63% 19.4 10s
5795 1202 0.90844 38 101 0.88838 0.94216 6.05% 19.8 15s
8134 1486 0.89511 48 96 0.88838 0.93257 4.98% 19.2 20s
11316 1709 cutoff 30 0.88838 0.92274 3.87% 18.9 25s
14008 1997 cutoff 55 0.88838 0.91723 3.25% 18.3 30s
17681 2520 infeasible 77 0.88838 0.91112 2.56% 17.1 35s
21686 3127 infeasible 74 0.88838 0.90707 2.10% 16.0 50s
25429 3126 cutoff 65 0.88838 0.90310 1.66% 16.0 55s
29348 3259 0.88938 85 62 0.88838 0.90022 1.33% 15.8 60s
33477 3342 0.89785 117 39 0.88838 0.89785 1.07% 15.3 65s
Cutting planes:
Gomory: 111
Cover: 4
Implied bound: 31
Projected implied bound: 33
Clique: 4
MIR: 20
Flow cover: 92
Inf proof: 163
Explored 34537 nodes (527805 simplex iterations) in 66.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.888375 0.888375
Optimal solution found (tolerance 1.00e-02)
Best objective 8.883754469874e-01, best bound 8.972530806101e-01, gap 0.9993%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu5wguzp2.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplu1x73lr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.882563
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.178169e+00, 910 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17817 0 80 0.88256 1.17817 33.5% - 0s
0 0 1.06172 0 116 0.88256 1.06172 20.3% - 0s
0 0 1.06171 0 116 0.88256 1.06171 20.3% - 0s
0 0 1.05450 0 110 0.88256 1.05450 19.5% - 0s
0 0 1.05419 0 110 0.88256 1.05419 19.4% - 0s
0 0 1.05397 0 118 0.88256 1.05397 19.4% - 0s
0 0 1.05395 0 118 0.88256 1.05395 19.4% - 0s
0 0 1.05391 0 121 0.88256 1.05391 19.4% - 0s
0 0 1.05391 0 105 0.88256 1.05391 19.4% - 0s
0 2 1.05391 0 105 0.88256 1.05391 19.4% - 0s
1242 662 0.96115 19 108 0.88256 1.00332 13.7% 18.2 5s
3094 984 0.88468 35 101 0.88256 0.96942 9.84% 19.8 10s
H 3369 1036 0.8825629 0.96651 9.51% 20.0 10s
H 4436 1116 0.8825629 0.95346 8.03% 21.4 14s
4850 1173 0.91755 29 104 0.88256 0.95003 7.64% 21.5 15s
6708 1303 0.92314 31 104 0.88256 0.93723 6.19% 22.2 20s
9298 1417 0.88469 46 91 0.88256 0.92271 4.55% 22.4 25s
12678 1899 cutoff 49 0.88256 0.91120 3.24% 20.5 30s
17198 2862 0.89148 79 64 0.88256 0.90572 2.62% 18.5 35s
H17696 2974 0.8831898 0.90521 2.49% 18.3 36s
19480 3105 cutoff 75 0.88319 0.90374 2.33% 17.9 40s
20853 3285 0.88334 80 68 0.88319 0.90279 2.22% 17.6 53s
22148 3394 cutoff 62 0.88319 0.90189 2.12% 17.4 55s
25572 3608 0.88649 93 41 0.88319 0.89925 1.82% 17.0 60s
29762 3876 cutoff 82 0.88319 0.89632 1.49% 16.5 65s
34012 4130 cutoff 78 0.88319 0.89405 1.23% 15.9 70s
37935 4096 cutoff 94 0.88319 0.89220 1.02% 15.5 75s
Cutting planes:
Gomory: 97
Cover: 1
Implied bound: 45
Projected implied bound: 25
MIR: 20
Flow cover: 80
Inf proof: 183
Explored 38740 nodes (598392 simplex iterations) in 75.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.88319 0.882563 0.882563 0.882563
Optimal solution found (tolerance 1.00e-02)
Best objective 8.831897550425e-01, best bound 8.919432331588e-01, gap 0.9911%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzxx0axft.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz6epphrh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.862806
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.147719e+00, 970 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14772 0 81 0.86281 1.14772 33.0% - 0s
0 0 1.04905 0 112 0.86281 1.04905 21.6% - 0s
0 0 1.04903 0 112 0.86281 1.04903 21.6% - 0s
0 0 1.03454 0 120 0.86281 1.03454 19.9% - 0s
0 0 1.03419 0 119 0.86281 1.03419 19.9% - 0s
0 0 1.03418 0 123 0.86281 1.03418 19.9% - 0s
0 0 1.03418 0 112 0.86281 1.03418 19.9% - 0s
0 2 1.03418 0 109 0.86281 1.03418 19.9% - 0s
1203 655 0.96937 20 126 0.86281 0.98924 14.7% 17.0 5s
2790 1001 0.90880 28 106 0.86281 0.96718 12.1% 26.6 10s
4169 1432 0.90500 33 101 0.86281 0.95800 11.0% 31.7 15s
H 4185 1437 0.8628064 0.95786 11.0% 31.9 15s
5655 1830 0.87671 28 104 0.86281 0.95104 10.2% 34.0 20s
7342 2135 0.88095 29 111 0.86281 0.94020 8.97% 35.7 25s
9262 2368 0.90228 30 104 0.86281 0.93100 7.90% 36.2 30s
H 9726 2444 0.8628064 0.92981 7.77% 35.9 31s
10802 2519 0.92294 27 115 0.86281 0.92466 7.17% 36.2 35s
12836 2853 0.89682 33 100 0.86281 0.91829 6.43% 35.5 40s
15248 3182 0.88902 33 107 0.86281 0.91052 5.53% 35.2 46s
16755 3280 0.88701 30 119 0.86281 0.90710 5.13% 34.8 50s
18652 3402 0.87555 39 100 0.86281 0.90282 4.64% 34.7 55s
20690 3603 0.87286 97 54 0.86281 0.89948 4.25% 34.2 69s
21154 3665 0.87572 39 120 0.86281 0.89860 4.15% 34.2 70s
22352 3687 infeasible 39 0.86281 0.89637 3.89% 34.9 75s
23330 3770 0.88715 40 104 0.86281 0.89484 3.71% 35.4 80s
24924 3748 0.88680 35 119 0.86281 0.89215 3.40% 36.5 85s
26579 3696 0.87444 34 112 0.86281 0.88975 3.12% 37.1 90s
28523 3893 0.87069 38 117 0.86281 0.88788 2.91% 37.3 95s
30424 3951 cutoff 56 0.86281 0.88597 2.68% 37.5 100s
32533 4301 cutoff 55 0.86281 0.88452 2.52% 37.2 105s
34896 4650 cutoff 66 0.86281 0.88316 2.36% 36.7 110s
37242 4983 0.86978 85 63 0.86281 0.88195 2.22% 36.1 115s
39820 5305 infeasible 78 0.86281 0.88087 2.09% 35.3 120s
42589 5506 cutoff 65 0.86281 0.87990 1.98% 34.6 125s
45296 5699 0.87887 70 70 0.86281 0.87887 1.86% 34.1 130s
47505 5919 cutoff 45 0.86281 0.87804 1.77% 33.6 135s
50419 6058 0.86747 75 88 0.86281 0.87692 1.64% 33.1 140s
52452 6135 cutoff 83 0.86281 0.87606 1.54% 32.7 145s
54976 6036 0.86966 74 58 0.86281 0.87501 1.41% 32.5 150s
57459 6090 0.86498 99 54 0.86281 0.87418 1.32% 32.0 155s
*59870 6310 134 0.8628848 0.87355 1.24% 31.5 158s
60156 6435 cutoff 100 0.86288 0.87348 1.23% 31.4 162s
61599 6463 cutoff 71 0.86288 0.87300 1.17% 31.1 165s
64518 6630 0.87204 82 73 0.86288 0.87223 1.08% 30.5 170s
Cutting planes:
Gomory: 138
Cover: 6
Implied bound: 61
Projected implied bound: 37
Clique: 1
MIR: 35
Flow cover: 133
Inf proof: 261
Explored 67640 nodes (2023171 simplex iterations) in 174.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.862885 0.862806 0.862806 0.862806
Optimal solution found (tolerance 1.00e-02)
Best objective 8.628847718619e-01, best bound 8.715022913885e-01, gap 0.9987%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphlshfye9.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_kqez72m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.850198
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.130614e+00, 970 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13061 0 89 0.85020 1.13061 33.0% - 0s
0 0 1.07042 0 112 0.85020 1.07042 25.9% - 0s
0 0 1.07042 0 112 0.85020 1.07042 25.9% - 0s
0 0 1.05585 0 123 0.85020 1.05585 24.2% - 0s
0 0 1.05566 0 123 0.85020 1.05566 24.2% - 0s
0 0 1.05526 0 128 0.85020 1.05526 24.1% - 0s
0 0 1.05526 0 128 0.85020 1.05526 24.1% - 0s
0 0 1.05474 0 131 0.85020 1.05474 24.1% - 0s
0 0 1.05474 0 130 0.85020 1.05474 24.1% - 0s
0 0 1.05474 0 130 0.85020 1.05474 24.1% - 0s
0 0 1.05455 0 121 0.85020 1.05455 24.0% - 0s
0 0 1.05455 0 119 0.85020 1.05455 24.0% - 0s
0 2 1.05455 0 117 0.85020 1.05455 24.0% - 0s
1073 653 0.86514 46 110 0.85020 0.98629 16.0% 15.5 5s
H 2519 956 0.8501985 0.95645 12.5% 17.9 9s
2915 1107 0.86284 46 97 0.85020 0.95276 12.1% 18.7 10s
H 3819 1351 0.8501985 0.94265 10.9% 20.7 12s
4417 1534 cutoff 37 0.85020 0.93944 10.5% 21.7 15s
6214 2006 0.88605 39 108 0.85020 0.93078 9.48% 22.2 20s
7974 2303 0.86209 53 108 0.85020 0.92549 8.86% 23.6 25s
9835 2479 0.87299 50 103 0.85020 0.91838 8.02% 25.4 30s
11895 2770 0.87882 36 122 0.85020 0.91312 7.40% 26.3 36s
13360 3001 0.86271 84 86 0.85020 0.90983 7.01% 26.5 40s
15314 3186 0.86935 52 106 0.85020 0.90524 6.47% 27.0 45s
16927 3327 0.88214 51 115 0.85020 0.90179 6.07% 27.3 50s
19000 3467 0.85925 43 108 0.85020 0.89796 5.62% 27.4 55s
20792 3532 0.86413 44 117 0.85020 0.89446 5.21% 27.3 70s
22349 3522 cutoff 40 0.85020 0.89099 4.80% 28.4 75s
23629 3595 cutoff 39 0.85020 0.88868 4.53% 29.3 80s
25094 3742 0.85605 67 101 0.85020 0.88671 4.29% 30.0 85s
26531 3902 0.86726 106 76 0.85020 0.88483 4.07% 30.8 90s
28110 4072 0.87552 65 122 0.85020 0.88292 3.85% 31.4 95s
29456 4191 infeasible 73 0.85020 0.88146 3.68% 31.8 100s
31157 4379 0.85094 49 103 0.85020 0.88001 3.51% 32.3 105s
32689 4674 cutoff 51 0.85020 0.87878 3.36% 32.4 110s
34127 4859 0.86357 91 113 0.85020 0.87762 3.23% 32.7 115s
35669 5126 0.86731 74 108 0.85020 0.87686 3.14% 32.9 120s
37151 5338 cutoff 73 0.85020 0.87614 3.05% 33.1 125s
38889 5564 0.85438 55 97 0.85020 0.87501 2.92% 33.1 130s
40109 5732 cutoff 53 0.85020 0.87441 2.85% 33.1 135s
41025 5831 infeasible 49 0.85020 0.87415 2.82% 33.2 140s
42579 5987 0.86051 52 126 0.85020 0.87341 2.73% 33.3 145s
44364 6248 0.87041 69 95 0.85020 0.87267 2.64% 33.2 150s
45938 6406 0.85963 91 79 0.85020 0.87198 2.56% 33.3 155s
47713 6637 0.86129 53 122 0.85020 0.87152 2.51% 33.3 160s
49644 7008 0.86700 84 79 0.85020 0.87083 2.43% 33.0 165s
51768 7427 0.86321 50 122 0.85020 0.87010 2.34% 32.7 170s
53749 7793 cutoff 66 0.85020 0.86957 2.28% 32.4 175s
55548 7992 0.86343 84 76 0.85020 0.86912 2.23% 32.3 180s
57665 8199 cutoff 80 0.85020 0.86830 2.13% 32.2 185s
59459 8376 0.86479 84 82 0.85020 0.86780 2.07% 32.0 190s
61213 8519 cutoff 64 0.85020 0.86735 2.02% 31.8 195s
63550 8701 cutoff 73 0.85020 0.86677 1.95% 31.5 200s
65561 8880 0.86396 72 93 0.85020 0.86632 1.90% 31.3 205s
67665 8955 0.85878 72 82 0.85020 0.86573 1.83% 31.2 210s
69227 9054 cutoff 40 0.85020 0.86537 1.78% 31.1 215s
H70421 9119 0.8501985 0.86512 1.76% 30.9 218s
70839 9055 0.86249 67 107 0.85020 0.86500 1.74% 30.9 221s
72599 9132 0.85528 61 104 0.85020 0.86460 1.69% 30.8 225s
74589 9285 0.85805 124 76 0.85020 0.86416 1.64% 30.6 230s
H75688 9099 0.8512798 0.86394 1.49% 30.4 233s
76274 9068 infeasible 82 0.85128 0.86378 1.47% 30.4 235s
77986 9069 0.86161 77 99 0.85128 0.86340 1.42% 30.2 240s
79899 9004 cutoff 112 0.85128 0.86293 1.37% 30.1 245s
81937 8943 cutoff 99 0.85128 0.86241 1.31% 30.0 250s
84009 8845 cutoff 61 0.85128 0.86196 1.25% 29.8 255s
86187 8710 cutoff 42 0.85128 0.86139 1.19% 29.6 260s
88114 8608 0.85979 86 78 0.85128 0.86092 1.13% 29.5 265s
90024 8576 0.86031 71 95 0.85128 0.86044 1.08% 29.3 270s
92571 8541 cutoff 62 0.85128 0.85997 1.02% 29.1 275s
Cutting planes:
Gomory: 122
Cover: 3
Implied bound: 80
Projected implied bound: 39
Clique: 3
MIR: 39
Flow cover: 128
Inf proof: 335
Zero half: 1
Explored 93366 nodes (2709107 simplex iterations) in 276.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.85128 0.850199 0.850198 ... 0.850198
Optimal solution found (tolerance 1.00e-02)
Best objective 8.512798332716e-01, best bound 8.597857261975e-01, gap 0.9992%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppu907zmb.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph60ol8_y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.847048
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.117427e+00, 1024 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11743 0 91 0.84705 1.11743 31.9% - 0s
0 0 1.04848 0 125 0.84705 1.04848 23.8% - 0s
0 0 1.04848 0 125 0.84705 1.04848 23.8% - 0s
0 0 1.04293 0 124 0.84705 1.04293 23.1% - 0s
0 0 1.04290 0 124 0.84705 1.04290 23.1% - 0s
0 0 1.04217 0 127 0.84705 1.04217 23.0% - 0s
0 0 1.04217 0 127 0.84705 1.04217 23.0% - 0s
0 0 1.04211 0 127 0.84705 1.04211 23.0% - 0s
0 0 1.04211 0 127 0.84705 1.04211 23.0% - 0s
0 0 1.04211 0 115 0.84705 1.04211 23.0% - 0s
0 2 1.04211 0 112 0.84705 1.04211 23.0% - 0s
1014 480 0.87658 60 107 0.84705 0.97385 15.0% 18.6 5s
3400 1152 0.87736 36 126 0.84705 0.94016 11.0% 21.4 10s
5575 1696 cutoff 36 0.84705 0.92867 9.64% 23.0 15s
H 5776 1748 0.8470476 0.92794 9.55% 23.1 16s
H 5782 1748 0.8470476 0.92794 9.55% 23.1 16s
6957 1961 0.87254 74 85 0.84705 0.92186 8.83% 24.2 20s
9536 2604 cutoff 38 0.84705 0.91421 7.93% 24.9 25s
11995 3184 0.88454 39 133 0.84705 0.90561 6.91% 25.0 30s
14329 3602 0.86647 40 122 0.84705 0.90019 6.27% 25.3 35s
16144 3906 cutoff 49 0.84705 0.89717 5.92% 25.4 40s
18248 4143 0.85934 66 104 0.84705 0.89393 5.54% 25.8 45s
H18645 4219 0.8470476 0.89357 5.49% 25.9 46s
19737 4321 0.87754 48 114 0.84705 0.89203 5.31% 26.0 50s
21103 4486 0.87481 45 115 0.84705 0.89085 5.17% 26.1 65s
22793 4680 cutoff 52 0.84705 0.88875 4.92% 27.0 70s
24400 4721 0.85833 52 148 0.84705 0.88684 4.70% 28.2 75s
25928 4815 cutoff 45 0.84705 0.88508 4.49% 29.0 80s
27457 4858 cutoff 53 0.84705 0.88332 4.28% 30.0 85s
29194 5045 0.86645 43 146 0.84705 0.88182 4.10% 30.5 90s
30872 5106 0.86219 46 139 0.84705 0.88019 3.91% 31.1 95s
32263 5076 infeasible 42 0.84705 0.87866 3.73% 31.8 100s
34191 5283 cutoff 62 0.84705 0.87733 3.58% 32.1 105s
35782 5514 0.85325 75 86 0.84705 0.87621 3.44% 32.4 110s
37777 5610 cutoff 50 0.84705 0.87478 3.27% 32.8 115s
39238 5657 0.86111 102 59 0.84705 0.87379 3.16% 33.1 120s
41322 5812 0.85879 66 90 0.84705 0.87294 3.06% 33.3 125s
43018 5946 infeasible 58 0.84705 0.87170 2.91% 33.4 130s
45141 6005 cutoff 44 0.84705 0.87060 2.78% 33.5 135s
47566 6243 cutoff 50 0.84705 0.86940 2.64% 33.2 140s
49174 6368 0.85704 51 125 0.84705 0.86864 2.55% 33.2 145s
51467 6651 cutoff 60 0.84705 0.86766 2.43% 33.0 150s
53399 6718 0.85115 49 121 0.84705 0.86674 2.32% 32.9 155s
55424 6801 cutoff 43 0.84705 0.86566 2.20% 32.8 160s
57512 6862 0.86479 98 66 0.84705 0.86479 2.09% 32.7 165s
59441 6829 infeasible 110 0.84705 0.86387 1.99% 32.5 170s
62147 7023 0.85126 140 34 0.84705 0.86279 1.86% 32.1 175s
64446 7282 0.85124 90 51 0.84705 0.86209 1.78% 31.7 180s
67723 7669 0.85971 106 74 0.84705 0.86111 1.66% 31.0 187s
68964 7730 0.84956 85 78 0.84705 0.86082 1.63% 30.8 190s
71880 8105 0.85423 109 54 0.84705 0.86006 1.54% 30.3 195s
75368 8615 0.85338 92 61 0.84705 0.85930 1.45% 29.5 200s
79210 9114 cutoff 117 0.84705 0.85848 1.35% 28.8 205s
82558 9497 0.85611 120 47 0.84705 0.85783 1.27% 28.2 210s
86638 9990 infeasible 95 0.84705 0.85730 1.21% 27.4 215s
90512 10263 cutoff 99 0.84705 0.85672 1.14% 26.8 220s
93201 10269 0.84946 109 50 0.84705 0.85618 1.08% 26.5 225s
95662 10318 0.84872 52 117 0.84705 0.85587 1.04% 26.1 230s
Cutting planes:
Gomory: 129
Cover: 7
Implied bound: 74
Projected implied bound: 29
Clique: 1
MIR: 26
Flow cover: 134
Inf proof: 323
Explored 97806 nodes (2534654 simplex iterations) in 233.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.847048 0.847048 0.847048 0.847048
Optimal solution found (tolerance 1.00e-02)
Best objective 8.470475965728e-01, best bound 8.554560808102e-01, gap 0.9927%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgsnml3f2.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp07cauzcg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.843636
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.109373e+00, 1051 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10937 0 89 0.84364 1.10937 31.5% - 0s
0 0 1.03165 0 122 0.84364 1.03165 22.3% - 0s
0 0 1.03165 0 122 0.84364 1.03165 22.3% - 0s
0 0 1.02532 0 119 0.84364 1.02532 21.5% - 0s
0 0 1.02528 0 120 0.84364 1.02528 21.5% - 0s
0 0 1.02456 0 122 0.84364 1.02456 21.4% - 0s
0 0 1.02429 0 121 0.84364 1.02429 21.4% - 0s
0 0 1.02429 0 121 0.84364 1.02429 21.4% - 0s
0 0 1.02408 0 121 0.84364 1.02408 21.4% - 0s
0 0 1.02408 0 108 0.84364 1.02408 21.4% - 0s
0 2 1.02408 0 108 0.84364 1.02408 21.4% - 0s
1116 710 0.94837 18 118 0.84364 0.97239 15.3% 16.4 5s
3034 572 cutoff 32 0.84364 0.93260 10.5% 24.5 10s
H 3485 645 0.8436364 0.92476 9.62% 25.1 12s
4327 699 0.84777 32 105 0.84364 0.90947 7.80% 25.8 15s
6942 1354 0.84476 48 79 0.84364 0.88509 4.91% 23.2 20s
11230 3022 0.87647 47 93 0.84364 0.87776 4.04% 19.8 25s
15487 4298 cutoff 51 0.84364 0.87408 3.61% 18.4 30s
18194 4597 0.86417 61 97 0.84364 0.87148 3.30% 18.4 35s
20983 5200 0.86437 63 101 0.84364 0.86986 3.11% 18.1 49s
21592 5332 0.86554 48 105 0.84364 0.86960 3.08% 18.1 50s
23612 5605 cutoff 49 0.84364 0.86850 2.95% 18.6 55s
26164 5895 cutoff 80 0.84364 0.86705 2.78% 19.2 60s
28960 6204 cutoff 43 0.84364 0.86562 2.61% 19.7 65s
31918 6355 cutoff 56 0.84364 0.86417 2.43% 20.2 70s
34666 6593 0.85757 57 100 0.84364 0.86295 2.29% 20.5 76s
36562 6618 0.86063 63 99 0.84364 0.86215 2.19% 20.7 80s
39339 6882 cutoff 56 0.84364 0.86108 2.07% 20.8 85s
42275 7141 0.84777 70 96 0.84364 0.86011 1.95% 20.8 90s
45285 7552 0.85064 81 77 0.84364 0.85907 1.83% 20.7 95s
48467 7723 cutoff 61 0.84364 0.85793 1.69% 20.8 100s
51069 7774 cutoff 105 0.84364 0.85704 1.59% 20.9 105s
53732 7789 infeasible 69 0.84364 0.85609 1.48% 20.9 110s
56464 7843 infeasible 79 0.84364 0.85526 1.38% 20.8 115s
59316 7745 0.84915 103 47 0.84364 0.85428 1.26% 20.7 120s
62664 7813 0.84433 82 71 0.84364 0.85358 1.18% 20.5 125s
65830 7758 cutoff 69 0.84364 0.85283 1.09% 20.3 130s
68919 7606 0.84913 80 67 0.84364 0.85219 1.01% 20.1 135s
Cutting planes:
Gomory: 115
Cover: 3
Implied bound: 50
Projected implied bound: 22
MIR: 15
Flow cover: 114
Inf proof: 338
Explored 69782 nodes (1399279 simplex iterations) in 136.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.843636 0.843636
Optimal solution found (tolerance 1.00e-02)
Best objective 8.436364070344e-01, best bound 8.520318220570e-01, gap 0.9951%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp45lvrggy.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa4nkol0p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.83879
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.102124e+00, 1065 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10212 0 92 0.83879 1.10212 31.4% - 0s
0 0 1.03730 0 114 0.83879 1.03730 23.7% - 0s
0 0 1.03730 0 111 0.83879 1.03730 23.7% - 0s
0 0 1.02169 0 129 0.83879 1.02169 21.8% - 0s
0 0 1.02158 0 130 0.83879 1.02158 21.8% - 0s
0 0 1.02147 0 139 0.83879 1.02147 21.8% - 0s
0 0 1.02140 0 142 0.83879 1.02140 21.8% - 0s
0 0 1.02084 0 144 0.83879 1.02084 21.7% - 0s
0 0 1.02084 0 144 0.83879 1.02084 21.7% - 0s
0 0 1.02084 0 144 0.83879 1.02084 21.7% - 0s
0 0 1.02084 0 140 0.83879 1.02084 21.7% - 0s
0 2 1.02084 0 140 0.83879 1.02084 21.7% - 0s
830 575 0.95393 19 119 0.83879 0.96941 15.6% 17.4 5s
2579 1052 cutoff 35 0.83879 0.94629 12.8% 23.3 10s
H 2958 1227 0.8387898 0.94375 12.5% 23.5 11s
3953 1695 0.88935 24 117 0.83879 0.93628 11.6% 24.2 15s
5635 2241 cutoff 33 0.83879 0.92864 10.7% 26.6 20s
7583 2598 0.85687 32 117 0.83879 0.91844 9.50% 28.2 25s
8877 2701 cutoff 28 0.83879 0.91269 8.81% 29.0 30s
11007 2863 0.86685 24 136 0.83879 0.90682 8.11% 29.9 35s
13098 2969 0.84821 27 114 0.83879 0.90167 7.50% 30.4 40s
15264 3038 cutoff 35 0.83879 0.89660 6.89% 30.6 45s
16885 3053 cutoff 29 0.83879 0.89179 6.32% 31.0 50s
18982 3134 0.85204 29 119 0.83879 0.88544 5.56% 31.2 55s
20786 3392 0.85565 30 140 0.83879 0.88216 5.17% 31.0 71s
20798 3400 0.85443 31 189 0.83879 0.88216 5.17% 31.0 75s
H20803 3232 0.8387898 0.88216 5.17% 31.0 79s
20807 3235 0.85563 39 197 0.83879 0.88216 5.17% 31.0 81s
20812 3238 0.86677 75 202 0.83879 0.88216 5.17% 31.0 85s
20818 3242 0.87286 31 207 0.83879 0.88216 5.17% 31.0 90s
20823 3246 0.84816 36 206 0.83879 0.88216 5.17% 31.0 95s
20827 3248 0.87105 30 201 0.83879 0.88216 5.17% 31.0 100s
20835 3254 0.86102 80 197 0.83879 0.88216 5.17% 30.9 105s
20841 3258 0.85683 31 195 0.83879 0.88216 5.17% 30.9 111s
20847 3262 0.85742 32 213 0.83879 0.88216 5.17% 30.9 115s
20855 3267 0.85439 26 204 0.83879 0.88216 5.17% 30.9 120s
20863 3272 0.84120 39 200 0.83879 0.88216 5.17% 30.9 125s
20870 3277 0.85763 39 211 0.83879 0.88216 5.17% 30.9 130s
20878 3282 0.85232 30 225 0.83879 0.88216 5.17% 30.9 135s
20886 3288 0.85565 30 206 0.83879 0.88216 5.17% 30.9 140s
20894 3293 0.85528 49 212 0.83879 0.88216 5.17% 30.9 145s
20901 3298 0.87455 29 218 0.83879 0.88216 5.17% 30.8 150s
20907 3302 0.85563 39 213 0.83879 0.88216 5.17% 30.8 156s
20913 3306 0.83911 28 212 0.83879 0.88216 5.17% 30.8 160s
20921 3311 0.86983 25 213 0.83879 0.88216 5.17% 30.8 165s
20929 3316 0.87254 30 217 0.83879 0.88216 5.17% 30.8 170s
20937 3322 0.86121 52 216 0.83879 0.88216 5.17% 30.8 176s
20940 3326 0.88216 22 198 0.83879 0.88216 5.17% 31.5 181s
20945 3326 infeasible 24 0.83879 0.88216 5.17% 31.6 187s
20953 3325 infeasible 26 0.83879 0.88216 5.17% 31.6 190s
21072 3336 0.88216 28 197 0.83879 0.88216 5.17% 31.9 195s
21449 3411 cutoff 36 0.83879 0.88216 5.17% 32.4 200s
22145 3479 cutoff 154 0.83879 0.87428 4.23% 33.3 205s
22446 3479 0.84390 49 168 0.83879 0.87063 3.80% 34.1 210s
23182 3512 infeasible 49 0.83879 0.86836 3.53% 35.3 215s
23749 3513 0.84821 58 143 0.83879 0.86725 3.39% 36.2 220s
24460 3509 cutoff 39 0.83879 0.86520 3.15% 37.2 225s
25268 3486 0.84376 59 148 0.83879 0.86400 3.01% 38.1 230s
26037 3513 cutoff 85 0.83879 0.86331 2.92% 38.8 238s
26347 3504 0.84475 65 130 0.83879 0.86297 2.88% 39.0 241s
26810 3517 cutoff 40 0.83879 0.86254 2.83% 39.4 245s
27655 3474 0.85227 51 149 0.83879 0.86183 2.75% 40.4 250s
28337 3453 0.85344 74 110 0.83879 0.86154 2.71% 41.0 255s
29542 3457 0.85986 51 144 0.83879 0.86086 2.63% 41.8 261s
30491 3438 0.84931 72 107 0.83879 0.86040 2.58% 42.2 266s
31296 3538 cutoff 72 0.83879 0.86015 2.55% 42.6 271s
32302 3814 0.85543 53 164 0.83879 0.85951 2.47% 43.0 276s
32759 3919 0.84389 47 159 0.83879 0.85929 2.44% 43.3 280s
33645 4168 cutoff 74 0.83879 0.85900 2.41% 43.9 285s
34223 4231 cutoff 55 0.83879 0.85872 2.38% 44.3 290s
35071 4385 0.84340 80 102 0.83879 0.85834 2.33% 44.9 295s
36223 4637 0.84242 56 170 0.83879 0.85792 2.28% 45.1 300s
37257 4917 0.85186 63 117 0.83879 0.85773 2.26% 45.3 305s
38291 5174 0.85657 91 110 0.83879 0.85730 2.21% 45.5 310s
39243 5356 cutoff 56 0.83879 0.85708 2.18% 45.6 315s
40119 5454 0.85673 42 181 0.83879 0.85674 2.14% 46.0 320s
41479 5733 0.85507 56 162 0.83879 0.85634 2.09% 46.2 326s
42405 5872 0.85532 89 99 0.83879 0.85606 2.06% 46.5 331s
43672 6213 cutoff 47 0.83879 0.85584 2.03% 46.3 335s
44612 6407 infeasible 81 0.83879 0.85563 2.01% 46.4 340s
45480 6569 0.84123 78 119 0.83879 0.85549 1.99% 46.7 345s
46428 6723 cutoff 53 0.83879 0.85523 1.96% 46.9 350s
47219 6867 infeasible 48 0.83879 0.85506 1.94% 47.1 355s
48901 7238 0.84594 67 130 0.83879 0.85469 1.90% 47.0 361s
49887 7421 0.85268 76 121 0.83879 0.85450 1.87% 47.1 365s
50713 7530 cutoff 47 0.83879 0.85427 1.85% 47.3 370s
52247 7798 0.84443 43 167 0.83879 0.85394 1.81% 47.2 376s
53090 7922 0.85030 94 81 0.83879 0.85374 1.78% 47.2 380s
53489 8035 0.84294 85 87 0.83879 0.85360 1.77% 47.3 386s
53917 8074 cutoff 59 0.83879 0.85351 1.75% 47.5 390s
55148 8197 cutoff 57 0.83879 0.85320 1.72% 47.7 396s
56195 8366 cutoff 97 0.83879 0.85296 1.69% 47.5 401s
57230 8539 cutoff 56 0.83879 0.85279 1.67% 47.5 405s
59039 8993 0.84657 55 156 0.83879 0.85237 1.62% 47.1 411s
59974 9122 0.84711 43 179 0.83879 0.85212 1.59% 47.0 415s
61343 9315 cutoff 88 0.83879 0.85186 1.56% 46.9 420s
62595 9462 0.84639 116 67 0.83879 0.85161 1.53% 47.0 426s
63383 9493 0.85136 85 84 0.83879 0.85145 1.51% 47.0 430s
64699 9642 0.85029 67 130 0.83879 0.85118 1.48% 47.0 436s
65843 9814 0.84954 72 116 0.83879 0.85100 1.46% 46.9 440s
67286 10113 cutoff 84 0.83879 0.85080 1.43% 46.7 445s
68616 10359 cutoff 59 0.83879 0.85053 1.40% 46.7 451s
69634 10544 cutoff 60 0.83879 0.85042 1.39% 46.5 455s
71104 10752 cutoff 77 0.83879 0.85019 1.36% 46.4 460s
72819 11012 0.84944 88 72 0.83879 0.84998 1.33% 46.1 466s
73799 11148 0.84168 63 119 0.83879 0.84985 1.32% 45.9 470s
75089 11274 0.84949 79 95 0.83879 0.84965 1.30% 45.8 475s
76690 11563 cutoff 60 0.83879 0.84945 1.27% 45.5 481s
78354 11862 cutoff 68 0.83879 0.84930 1.25% 45.2 486s
79776 12030 cutoff 94 0.83879 0.84909 1.23% 45.0 491s
81242 12235 0.84337 92 85 0.83879 0.84893 1.21% 44.8 496s
82305 12412 0.84751 57 162 0.83879 0.84880 1.19% 44.6 500s
83900 12678 infeasible 88 0.83879 0.84862 1.17% 44.4 505s
85206 12841 infeasible 94 0.83879 0.84852 1.16% 44.2 510s
86879 13112 0.84275 96 88 0.83879 0.84834 1.14% 43.9 515s
88459 13245 0.84291 118 39 0.83879 0.84820 1.12% 43.8 521s
90009 13436 cutoff 46 0.83879 0.84807 1.11% 43.6 526s
90591 13497 0.84722 57 145 0.83879 0.84798 1.10% 43.6 531s
91766 13538 infeasible 88 0.83879 0.84784 1.08% 43.5 535s
93042 13636 infeasible 80 0.83879 0.84767 1.06% 43.4 540s
94466 13757 0.84557 92 65 0.83879 0.84754 1.04% 43.2 545s
96024 13760 0.83966 88 71 0.83879 0.84735 1.02% 43.1 551s
97255 13741 0.84613 78 89 0.83879 0.84722 1.01% 43.0 556s
Cutting planes:
Gomory: 226
Cover: 9
Implied bound: 40
Projected implied bound: 59
Clique: 2
MIR: 142
StrongCG: 2
Flow cover: 625
Inf proof: 272
Zero half: 3
Explored 97911 nodes (4206174 simplex iterations) in 557.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.83879 0.83879 0.83879
Optimal solution found (tolerance 1.00e-02)
Best objective 8.387897675133e-01, best bound 8.471319394680e-01, gap 0.9945%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsczi0p4u.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbdlrroh0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.834275
Presolve removed 676 rows and 438 columns
Presolve time: 0.02s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.093627e+00, 1060 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09363 0 97 0.83428 1.09363 31.1% - 0s
0 0 1.03055 0 127 0.83428 1.03055 23.5% - 0s
0 0 1.01702 0 131 0.83428 1.01702 21.9% - 0s
0 0 1.01695 0 130 0.83428 1.01695 21.9% - 0s
0 0 1.01671 0 134 0.83428 1.01671 21.9% - 0s
0 0 1.01671 0 134 0.83428 1.01671 21.9% - 0s
0 0 1.01623 0 134 0.83428 1.01623 21.8% - 0s
0 0 1.01623 0 134 0.83428 1.01623 21.8% - 0s
0 0 1.01623 0 132 0.83428 1.01623 21.8% - 0s
0 0 1.01623 0 133 0.83428 1.01623 21.8% - 0s
0 0 1.01612 0 127 0.83428 1.01612 21.8% - 0s
0 0 1.01612 0 125 0.83428 1.01612 21.8% - 0s
0 2 1.01612 0 125 0.83428 1.01612 21.8% - 0s
798 535 cutoff 22 0.83428 0.96397 15.5% 19.9 5s
2903 855 infeasible 36 0.83428 0.92017 10.3% 21.6 10s
4923 1335 0.84945 36 121 0.83428 0.90894 8.95% 22.9 15s
6937 1833 0.84214 44 122 0.83428 0.90296 8.23% 23.5 20s
H 6938 1834 0.8342752 0.90296 8.23% 23.5 20s
9082 2073 infeasible 40 0.83428 0.89573 7.37% 24.2 25s
10955 2251 0.84010 41 119 0.83428 0.89095 6.79% 24.7 30s
12978 2394 cutoff 41 0.83428 0.88645 6.25% 25.0 35s
15080 2420 0.85884 35 135 0.83428 0.88107 5.61% 25.2 40s
17211 2462 0.84931 42 138 0.83428 0.87565 4.96% 25.5 45s
19824 2773 infeasible 39 0.83428 0.87038 4.33% 25.3 50s
H19835 2773 0.8342752 0.87038 4.33% 25.3 50s
20774 2934 infeasible 59 0.83428 0.86806 4.05% 25.2 66s
22118 3264 infeasible 38 0.83428 0.86607 3.81% 25.4 70s
23417 3456 0.85723 49 125 0.83428 0.86384 3.54% 26.2 75s
24726 3660 0.84850 55 116 0.83428 0.86232 3.36% 26.8 80s
26792 4034 cutoff 40 0.83428 0.86068 3.16% 27.3 85s
28671 4405 0.84488 61 115 0.83428 0.85975 3.05% 27.6 90s
30373 4895 0.84318 51 114 0.83428 0.85884 2.94% 27.5 95s
32667 5381 0.83570 52 110 0.83428 0.85763 2.80% 27.3 100s
34798 5816 0.84883 88 70 0.83428 0.85681 2.70% 27.3 105s
36911 6237 cutoff 50 0.83428 0.85578 2.58% 27.3 110s
39210 6575 0.85193 88 88 0.83428 0.85490 2.47% 27.2 115s
41320 6812 0.84217 57 119 0.83428 0.85431 2.40% 27.3 120s
44051 7255 cutoff 86 0.83428 0.85352 2.31% 27.1 125s
46280 7655 infeasible 67 0.83428 0.85296 2.24% 27.1 130s
48507 8001 0.84020 60 121 0.83428 0.85235 2.17% 26.9 135s
50682 8239 0.84724 73 104 0.83428 0.85178 2.10% 26.9 140s
53547 8552 0.83493 127 29 0.83428 0.85112 2.02% 26.7 145s
56041 8977 0.84680 103 71 0.83428 0.85066 1.96% 26.4 150s
58222 9156 infeasible 51 0.83428 0.85019 1.91% 26.3 155s
60604 9335 infeasible 57 0.83428 0.84965 1.84% 26.2 160s
63194 9453 cutoff 116 0.83428 0.84901 1.77% 26.1 165s
64579 9550 cutoff 105 0.83428 0.84873 1.73% 26.1 170s
66732 9661 cutoff 63 0.83428 0.84834 1.69% 26.1 175s
69552 9843 cutoff 70 0.83428 0.84786 1.63% 25.9 180s
72077 10067 infeasible 93 0.83428 0.84745 1.58% 25.7 185s
74769 10248 cutoff 51 0.83428 0.84703 1.53% 25.6 190s
77000 10356 cutoff 76 0.83428 0.84663 1.48% 25.5 195s
79419 10254 cutoff 90 0.83428 0.84617 1.43% 25.4 200s
80465 10278 cutoff 58 0.83428 0.84602 1.41% 25.4 205s
82781 10181 cutoff 81 0.83428 0.84561 1.36% 25.4 210s
84978 10166 0.84188 87 82 0.83428 0.84523 1.31% 25.2 215s
87380 10101 cutoff 108 0.83428 0.84484 1.27% 25.2 220s
89783 10150 0.84449 78 105 0.83428 0.84449 1.22% 25.1 225s
91834 9904 infeasible 111 0.83428 0.84411 1.18% 25.1 230s
93810 9736 cutoff 47 0.83428 0.84369 1.13% 25.1 235s
96038 9629 cutoff 55 0.83428 0.84331 1.08% 25.0 240s
97836 9405 cutoff 108 0.83428 0.84298 1.04% 25.0 245s
Cutting planes:
Learned: 1
Gomory: 142
Cover: 6
Implied bound: 70
Projected implied bound: 42
Clique: 2
MIR: 36
StrongCG: 1
Flow cover: 146
Inf proof: 359
Zero half: 1
Explored 99857 nodes (2495983 simplex iterations) in 249.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.834275 0.834275 0.834275
Optimal solution found (tolerance 1.00e-02)
Best objective 8.342752187439e-01, best bound 8.425818537194e-01, gap 0.9957%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuaq2l5tg.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4wf480c5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829862
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.087692e+00, 1152 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08769 0 98 0.82986 1.08769 31.1% - 0s
0 0 1.02660 0 127 0.82986 1.02660 23.7% - 0s
0 0 1.02660 0 127 0.82986 1.02660 23.7% - 0s
0 0 1.01338 0 130 0.82986 1.01338 22.1% - 0s
0 0 1.01328 0 130 0.82986 1.01328 22.1% - 0s
0 0 1.01291 0 137 0.82986 1.01291 22.1% - 0s
0 0 1.01291 0 138 0.82986 1.01291 22.1% - 0s
0 0 1.01272 0 139 0.82986 1.01272 22.0% - 0s
0 0 1.01272 0 139 0.82986 1.01272 22.0% - 0s
0 0 1.01252 0 139 0.82986 1.01252 22.0% - 0s
0 0 1.01252 0 129 0.82986 1.01252 22.0% - 0s
0 2 1.01252 0 128 0.82986 1.01252 22.0% - 0s
800 512 infeasible 21 0.82986 0.94984 14.5% 18.2 5s
2463 823 0.89752 26 122 0.82986 0.92252 11.2% 25.1 10s
4531 1350 0.87814 30 124 0.82986 0.90301 8.81% 26.0 15s
6055 1676 cutoff 32 0.82986 0.89605 7.98% 25.9 20s
7899 1777 infeasible 41 0.82986 0.88427 6.56% 26.4 25s
9956 2056 cutoff 34 0.82986 0.87782 5.78% 26.5 30s
12384 2284 cutoff 36 0.82986 0.87031 4.87% 26.5 35s
H12917 2431 0.8298619 0.86936 4.76% 26.4 36s
12967 2392 0.84351 39 118 0.82986 0.86920 4.74% 26.4 40s
15026 2464 0.85899 46 118 0.82986 0.86540 4.28% 26.6 45s
17090 2686 0.85950 57 114 0.82986 0.86251 3.93% 26.7 50s
19231 3153 0.85848 58 81 0.82986 0.85998 3.63% 26.4 55s
20672 3620 0.84940 36 129 0.82986 0.85882 3.49% 25.9 70s
20685 3629 0.85693 36 188 0.82986 0.85882 3.49% 25.9 75s
20693 3634 0.85297 88 188 0.82986 0.85882 3.49% 25.9 80s
20700 3639 0.85438 39 196 0.82986 0.85882 3.49% 25.9 86s
20708 3644 0.83811 54 203 0.82986 0.85882 3.49% 25.9 90s
20714 3648 0.83901 32 204 0.82986 0.85882 3.49% 25.9 95s
20720 3652 0.85214 79 207 0.82986 0.85882 3.49% 25.8 101s
20725 3655 0.84341 25 234 0.82986 0.85882 3.49% 25.8 105s
20730 3659 0.84395 71 208 0.82986 0.85882 3.49% 25.8 110s
20734 3661 0.85677 39 211 0.82986 0.85882 3.49% 25.8 115s
20739 3665 0.84959 93 211 0.82986 0.85882 3.49% 25.8 120s
20744 3668 0.84029 48 210 0.82986 0.85882 3.49% 25.8 125s
20750 3672 0.84245 58 221 0.82986 0.85882 3.49% 25.8 130s
20756 3676 0.84024 105 235 0.82986 0.85882 3.49% 25.8 135s
20761 3679 0.85364 47 239 0.82986 0.85882 3.49% 25.8 140s
20765 3684 0.85882 24 220 0.82986 0.85882 3.49% 26.4 146s
20767 3683 infeasible 25 0.82986 0.85882 3.49% 26.4 150s
20773 3684 0.84939 27 208 0.82986 0.85882 3.49% 26.5 155s
H20865 3519 0.8298619 0.85882 3.49% 26.7 158s
20918 3528 0.85882 39 173 0.82986 0.85882 3.49% 26.8 160s
21059 3569 0.84593 93 110 0.82986 0.85882 3.49% 27.1 165s
21592 3583 0.84856 38 169 0.82986 0.85882 3.49% 28.2 170s
21927 3529 0.83844 42 193 0.82986 0.85849 3.45% 29.6 175s
22382 3518 cutoff 52 0.82986 0.85597 3.15% 30.5 180s
23053 3528 0.85126 51 165 0.82986 0.85423 2.94% 31.6 185s
23856 3637 0.83097 68 125 0.82986 0.85314 2.81% 32.5 190s
24704 3806 0.84975 52 170 0.82986 0.85168 2.63% 33.1 195s
25503 3900 0.85149 52 167 0.82986 0.85149 2.61% 33.9 201s
25905 3947 0.84412 54 156 0.82986 0.85114 2.56% 34.4 206s
26149 3976 infeasible 65 0.82986 0.85097 2.54% 34.7 210s
27121 4050 0.84298 48 192 0.82986 0.85078 2.52% 35.2 215s
27765 4104 0.84001 57 136 0.82986 0.85040 2.48% 35.7 220s
28959 4163 infeasible 120 0.82986 0.84998 2.42% 36.4 226s
29641 4137 0.83643 61 172 0.82986 0.84959 2.38% 37.3 230s
30255 4065 infeasible 39 0.82986 0.84930 2.34% 38.1 236s
31270 4166 0.84338 63 119 0.82986 0.84905 2.31% 38.5 241s
32193 4440 0.83535 59 117 0.82986 0.84866 2.26% 39.2 246s
33186 4823 0.83825 131 50 0.82986 0.84839 2.23% 39.8 251s
33964 5142 0.83318 69 155 0.82986 0.84816 2.21% 40.1 257s
34006 5111 infeasible 58 0.82986 0.84816 2.21% 40.1 260s
34922 5419 0.83352 72 145 0.82986 0.84785 2.17% 40.6 265s
35931 5824 0.83328 87 79 0.82986 0.84765 2.14% 40.9 271s
37027 6216 0.84098 47 146 0.82986 0.84738 2.11% 41.1 276s
38137 6720 infeasible 56 0.82986 0.84723 2.09% 41.2 281s
39048 7095 0.83440 64 133 0.82986 0.84707 2.07% 41.3 286s
39938 7387 0.84476 87 122 0.82986 0.84686 2.05% 41.6 291s
40831 7665 0.83994 40 159 0.82986 0.84657 2.01% 41.9 296s
41788 7959 cutoff 86 0.82986 0.84634 1.99% 42.2 301s
42706 8197 cutoff 71 0.82986 0.84608 1.95% 42.6 306s
43461 8420 0.84479 53 152 0.82986 0.84591 1.93% 42.8 311s
44371 8612 0.83778 57 132 0.82986 0.84576 1.92% 43.0 315s
45346 8934 cutoff 45 0.82986 0.84559 1.89% 43.2 321s
46218 9209 0.83376 66 118 0.82986 0.84544 1.88% 43.5 325s
47272 9493 0.84052 59 133 0.82986 0.84526 1.86% 43.6 330s
48276 9810 cutoff 57 0.82986 0.84510 1.84% 43.7 335s
49773 10198 0.83658 65 149 0.82986 0.84477 1.80% 43.9 341s
50784 10456 0.84047 69 131 0.82986 0.84458 1.77% 43.9 346s
51927 10858 0.83645 51 165 0.82986 0.84444 1.76% 43.9 350s
53005 11218 0.83050 59 143 0.82986 0.84425 1.73% 43.9 355s
54244 11464 cutoff 67 0.82986 0.84403 1.71% 44.2 361s
55187 11699 0.83953 47 161 0.82986 0.84392 1.69% 44.2 366s
56434 12114 0.84351 74 92 0.82986 0.84377 1.68% 44.0 371s
57552 12471 infeasible 72 0.82986 0.84364 1.66% 43.9 375s
58449 12763 0.83623 49 160 0.82986 0.84355 1.65% 44.1 381s
59133 12921 0.84308 55 140 0.82986 0.84348 1.64% 43.9 386s
60238 13198 0.83214 35 181 0.82986 0.84335 1.62% 43.9 390s
61359 13470 cutoff 64 0.82986 0.84322 1.61% 43.8 395s
62525 13774 cutoff 69 0.82986 0.84303 1.59% 43.6 400s
64048 14222 cutoff 65 0.82986 0.84285 1.57% 43.6 406s
65005 14452 0.84163 74 92 0.82986 0.84273 1.55% 43.5 410s
66495 14838 cutoff 76 0.82986 0.84258 1.53% 43.5 415s
67181 14927 cutoff 61 0.82986 0.84243 1.51% 43.6 420s
68849 15378 0.83731 64 165 0.82986 0.84225 1.49% 43.4 425s
70305 15687 cutoff 57 0.82986 0.84206 1.47% 43.4 431s
71393 15941 0.84105 80 88 0.82986 0.84197 1.46% 43.3 435s
72664 16165 0.84103 74 112 0.82986 0.84179 1.44% 43.3 441s
73601 16318 0.83286 57 141 0.82986 0.84170 1.43% 43.3 445s
74625 16521 0.83221 71 105 0.82986 0.84160 1.41% 43.3 450s
76216 16896 0.83996 101 93 0.82986 0.84144 1.40% 43.1 456s
77091 17016 cutoff 110 0.82986 0.84135 1.38% 43.1 460s
78591 17329 cutoff 43 0.82986 0.84120 1.37% 43.1 465s
79895 17523 0.83531 56 184 0.82986 0.84106 1.35% 43.1 471s
80596 17554 0.83802 41 153 0.82986 0.84099 1.34% 43.2 475s
81918 17752 0.83281 50 180 0.82986 0.84082 1.32% 43.2 481s
82906 17937 0.83834 71 101 0.82986 0.84073 1.31% 43.2 485s
83793 18114 cutoff 72 0.82986 0.84066 1.30% 43.2 490s
84651 18159 cutoff 67 0.82986 0.84057 1.29% 43.3 496s
85541 18267 0.83148 78 88 0.82986 0.84050 1.28% 43.3 500s
86890 18485 0.83329 60 126 0.82986 0.84035 1.26% 43.4 506s
87736 18602 0.83837 42 152 0.82986 0.84024 1.25% 43.4 510s
89046 18770 0.83302 95 58 0.82986 0.84014 1.24% 43.4 516s
89859 18848 cutoff 68 0.82986 0.84005 1.23% 43.4 520s
90798 19005 0.83816 79 83 0.82986 0.83995 1.22% 43.4 525s
91995 19156 cutoff 76 0.82986 0.83982 1.20% 43.4 531s
92910 19307 0.83017 101 84 0.82986 0.83977 1.19% 43.5 535s
94294 19524 cutoff 84 0.82986 0.83959 1.17% 43.5 541s
95236 19685 cutoff 54 0.82986 0.83952 1.16% 43.4 545s
96746 19917 0.83268 63 109 0.82986 0.83940 1.15% 43.3 551s
97533 20001 cutoff 59 0.82986 0.83932 1.14% 43.3 555s
98330 20080 infeasible 69 0.82986 0.83922 1.13% 43.3 560s
99802 20313 0.83887 89 75 0.82986 0.83907 1.11% 43.3 565s
101363 20558 cutoff 52 0.82986 0.83896 1.10% 43.1 571s
102411 20706 infeasible 95 0.82986 0.83887 1.09% 43.0 575s
103854 20857 infeasible 82 0.82986 0.83876 1.07% 42.9 581s
104680 20912 0.83640 75 93 0.82986 0.83868 1.06% 42.9 585s
105047 20954 0.83103 85 78 0.82986 0.83867 1.06% 43.0 590s
106182 21069 0.83590 43 178 0.82986 0.83856 1.05% 42.9 596s
107063 21144 0.83507 72 87 0.82986 0.83849 1.04% 42.8 600s
Cutting planes:
Gomory: 221
Cover: 4
Implied bound: 29
Projected implied bound: 66
Clique: 1
MIR: 190
StrongCG: 1
Flow cover: 647
Inf proof: 254
Explored 107483 nodes (4607622 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.829862 0.829862 0.829862
Time limit reached
Best objective 8.298618625894e-01, best bound 8.384633132177e-01, gap 1.0365%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc74bxv54.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptmuo6a83.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.825296
Presolve removed 704 rows and 456 columns
Presolve time: 0.05s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 1.080867e+00, 1112 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08087 0 101 0.82530 1.08087 31.0% - 0s
0 0 1.02191 0 123 0.82530 1.02191 23.8% - 0s
0 0 1.02176 0 123 0.82530 1.02176 23.8% - 0s
0 0 0.98315 0 141 0.82530 0.98315 19.1% - 0s
0 0 0.98293 0 140 0.82530 0.98293 19.1% - 0s
0 0 0.98245 0 143 0.82530 0.98245 19.0% - 0s
0 0 0.98244 0 146 0.82530 0.98244 19.0% - 0s
0 0 0.98223 0 147 0.82530 0.98223 19.0% - 0s
0 0 0.98223 0 149 0.82530 0.98223 19.0% - 0s
0 0 0.98223 0 149 0.82530 0.98223 19.0% - 0s
0 0 0.98223 0 136 0.82530 0.98223 19.0% - 0s
0 2 0.98223 0 136 0.82530 0.98223 19.0% - 0s
794 565 0.91747 27 138 0.82530 0.94127 14.1% 16.2 5s
2298 771 0.87220 37 121 0.82530 0.91825 11.3% 25.0 10s
3572 1030 0.84326 31 114 0.82530 0.90141 9.22% 27.1 15s
5472 1119 cutoff 32 0.82530 0.87836 6.43% 29.0 20s
7943 1593 0.84928 36 117 0.82530 0.86539 4.86% 27.7 25s
H 9867 2012 0.8252959 0.86055 4.27% 26.9 29s
9868 1996 cutoff 40 0.82530 0.86055 4.27% 26.9 30s
11683 2309 0.82759 44 117 0.82530 0.85780 3.94% 26.6 35s
14486 3069 0.84021 61 109 0.82530 0.85549 3.66% 25.7 40s
17419 3771 0.84920 58 108 0.82530 0.85326 3.39% 24.9 45s
20021 4059 cutoff 72 0.82530 0.85157 3.18% 24.7 50s
20818 4214 0.84064 76 136 0.82530 0.85122 3.14% 24.6 65s
20830 4222 0.84699 57 194 0.82530 0.85122 3.14% 24.6 70s
20835 4225 0.84721 76 190 0.82530 0.85122 3.14% 24.6 75s
20839 4228 0.84350 42 190 0.82530 0.85122 3.14% 24.6 80s
20844 4231 0.84722 38 203 0.82530 0.85122 3.14% 24.6 85s
20848 4234 0.83877 32 213 0.82530 0.85122 3.14% 24.6 90s
20853 4237 0.83891 51 213 0.82530 0.85122 3.14% 24.6 96s
20858 4241 0.83571 56 216 0.82530 0.85122 3.14% 24.6 100s
20862 4243 0.82869 41 220 0.82530 0.85122 3.14% 24.6 105s
20868 4247 0.84163 50 216 0.82530 0.85122 3.14% 24.6 110s
20874 4251 0.84507 85 215 0.82530 0.85122 3.14% 24.6 115s
20879 4255 0.85031 58 224 0.82530 0.85122 3.14% 24.6 121s
20883 4257 0.84058 36 223 0.82530 0.85122 3.14% 24.6 125s
20889 4261 0.84923 69 229 0.82530 0.85122 3.14% 24.6 130s
20894 4265 0.85062 43 234 0.82530 0.85122 3.14% 24.6 135s
20900 4269 0.83056 76 227 0.82530 0.85122 3.14% 24.6 140s
20907 4273 0.84805 35 225 0.82530 0.85122 3.14% 24.5 145s
20913 4277 0.83021 35 224 0.82530 0.85122 3.14% 24.5 151s
20918 4281 0.84064 76 227 0.82530 0.85122 3.14% 24.5 155s
20923 4284 0.83703 68 230 0.82530 0.85122 3.14% 24.5 160s
20929 4288 0.83708 67 239 0.82530 0.85122 3.14% 24.5 165s
20934 4291 0.82962 66 243 0.82530 0.85122 3.14% 24.5 170s
20939 4295 0.84350 42 246 0.82530 0.85122 3.14% 24.5 175s
20945 4299 0.83038 105 245 0.82530 0.85122 3.14% 24.5 181s
20948 4301 0.83877 32 249 0.82530 0.85122 3.14% 24.5 185s
20951 4303 0.83725 71 242 0.82530 0.85122 3.14% 24.5 190s
20955 4305 0.84640 77 239 0.82530 0.85122 3.14% 24.5 195s
20959 4308 0.83437 93 237 0.82530 0.85122 3.14% 24.5 200s
20965 4312 0.84527 92 233 0.82530 0.85122 3.14% 24.5 205s
20970 4315 0.83274 35 241 0.82530 0.85122 3.14% 24.5 210s
20976 4319 0.84619 40 236 0.82530 0.85122 3.14% 24.5 215s
20981 4323 0.84449 40 233 0.82530 0.85122 3.14% 24.5 220s
20987 4327 0.83986 46 230 0.82530 0.85122 3.14% 24.5 225s
20992 4330 0.84152 58 242 0.82530 0.85122 3.14% 24.4 230s
20996 4333 0.83905 32 241 0.82530 0.85122 3.14% 24.4 235s
20999 4335 0.84171 48 245 0.82530 0.85122 3.14% 24.4 240s
21006 4339 0.84874 71 242 0.82530 0.85122 3.14% 24.4 245s
21012 4343 0.84498 77 239 0.82530 0.85122 3.14% 24.4 250s
21017 4347 0.83459 31 243 0.82530 0.85122 3.14% 24.4 255s
21022 4350 0.84835 71 242 0.82530 0.85122 3.14% 24.4 261s
21028 4354 0.82991 51 248 0.82530 0.85122 3.14% 24.4 266s
21030 4358 0.85122 30 235 0.82530 0.85122 3.14% 26.0 273s
21032 4358 0.85122 31 227 0.82530 0.85122 3.14% 26.0 279s
21036 4357 0.85122 32 218 0.82530 0.85122 3.14% 26.1 280s
21111 4357 0.84092 36 233 0.82530 0.85122 3.14% 26.7 285s
21257 4353 0.85113 38 222 0.82530 0.85122 3.14% 27.4 290s
21651 4415 0.83891 47 186 0.82530 0.85122 3.14% 28.5 295s
22071 4500 0.82750 66 174 0.82530 0.85015 3.01% 29.7 300s
22277 4486 cutoff 47 0.82530 0.84967 2.95% 30.6 305s
22726 4572 0.84506 79 177 0.82530 0.84904 2.88% 31.6 310s
23114 4587 0.83696 63 182 0.82530 0.84864 2.83% 32.7 315s
23597 4651 0.83943 61 170 0.82530 0.84833 2.79% 33.9 320s
24107 4730 0.84537 65 166 0.82530 0.84796 2.75% 34.5 325s
24660 4824 0.84504 41 214 0.82530 0.84776 2.72% 35.2 330s
25146 4867 cutoff 76 0.82530 0.84755 2.70% 36.3 335s
25833 5004 0.84369 65 184 0.82530 0.84733 2.67% 37.3 341s
26089 5025 0.83327 55 174 0.82530 0.84715 2.65% 37.7 346s
26398 5056 0.82919 47 189 0.82530 0.84694 2.62% 38.3 350s
26895 5085 0.84337 67 193 0.82530 0.84651 2.57% 39.2 355s
27333 5072 0.84425 65 166 0.82530 0.84609 2.52% 40.0 360s
27786 5051 0.84072 73 162 0.82530 0.84575 2.48% 41.1 365s
28558 5070 0.83621 43 202 0.82530 0.84528 2.42% 42.0 371s
28868 5106 0.84144 57 196 0.82530 0.84514 2.40% 42.5 377s
29020 5086 0.83224 102 99 0.82530 0.84495 2.38% 42.7 381s
29699 5098 cutoff 46 0.82530 0.84469 2.35% 43.5 387s
30040 5088 infeasible 68 0.82530 0.84436 2.31% 44.1 391s
30407 5107 0.82928 44 199 0.82530 0.84421 2.29% 44.7 395s
31070 5054 infeasible 48 0.82530 0.84381 2.24% 46.1 402s
31599 5078 0.82972 54 160 0.82530 0.84351 2.21% 46.6 406s
31922 5015 0.84065 57 191 0.82530 0.84331 2.18% 47.4 411s
32468 5069 0.83236 53 181 0.82530 0.84323 2.17% 47.8 415s
33264 4995 cutoff 72 0.82530 0.84262 2.10% 48.8 422s
34085 5115 cutoff 52 0.82530 0.84238 2.07% 48.7 426s
34597 5282 0.83258 59 184 0.82530 0.84217 2.04% 48.9 430s
35881 5719 0.83913 82 145 0.82530 0.84182 2.00% 49.2 437s
36408 5936 cutoff 66 0.82530 0.84174 1.99% 49.4 441s
36822 6056 0.83251 84 125 0.82530 0.84172 1.99% 49.8 445s
38060 6470 cutoff 72 0.82530 0.84118 1.92% 49.8 452s
38676 6752 0.82813 69 153 0.82530 0.84112 1.92% 49.8 455s
39510 7002 0.83361 53 193 0.82530 0.84094 1.90% 50.2 462s
39985 7123 0.83285 48 189 0.82530 0.84087 1.89% 50.5 465s
41117 7492 0.83441 80 114 0.82530 0.84064 1.86% 50.6 472s
41668 7642 0.83012 91 94 0.82530 0.84048 1.84% 50.6 476s
42279 7862 0.83635 90 127 0.82530 0.84041 1.83% 50.6 480s
43314 8159 0.83272 52 216 0.82530 0.84022 1.81% 50.7 485s
44503 8424 0.82787 84 111 0.82530 0.83998 1.78% 50.7 492s
45043 8544 infeasible 79 0.82530 0.83985 1.76% 50.7 495s
46043 8752 0.83344 80 130 0.82530 0.83967 1.74% 50.8 501s
47314 9118 0.83939 48 188 0.82530 0.83944 1.71% 50.7 507s
47856 9303 0.83541 38 218 0.82530 0.83939 1.71% 50.7 510s
48589 9442 cutoff 86 0.82530 0.83928 1.69% 50.9 516s
H49175 9624 0.8252959 0.83922 1.69% 50.9 519s
49473 9740 0.82705 40 217 0.82530 0.83910 1.67% 51.0 532s
49480 9689 infeasible 41 0.82530 0.83910 1.67% 51.0 536s
50542 9898 cutoff 65 0.82530 0.83898 1.66% 51.1 542s
51021 9992 0.83251 87 106 0.82530 0.83886 1.64% 51.2 545s
51955 10129 0.83606 90 121 0.82530 0.83869 1.62% 51.3 551s
52960 10378 0.82884 53 172 0.82530 0.83856 1.61% 51.4 557s
53502 10494 0.83647 91 134 0.82530 0.83849 1.60% 51.4 560s
54560 10677 cutoff 77 0.82530 0.83830 1.58% 51.4 566s
55354 10829 0.83048 69 143 0.82530 0.83817 1.56% 51.6 572s
55803 10882 0.83007 90 114 0.82530 0.83811 1.55% 51.7 575s
56608 10987 cutoff 91 0.82530 0.83800 1.54% 51.9 580s
57491 11161 0.83687 52 179 0.82530 0.83786 1.52% 52.0 586s
57879 11250 0.83194 65 173 0.82530 0.83784 1.52% 52.1 590s
58605 11353 0.82588 61 171 0.82530 0.83772 1.51% 52.4 596s
59424 11474 0.83574 87 119 0.82530 0.83760 1.49% 52.6 600s
Cutting planes:
Gomory: 200
Cover: 3
Implied bound: 42
Projected implied bound: 46
MIR: 179
StrongCG: 7
Flow cover: 649
Inf proof: 157
Explored 59697 nodes (3135653 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.825296 0.825296 0.825296
Time limit reached
Best objective 8.252958802573e-01, best bound 8.375427191502e-01, gap 1.4839%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv9a9c6fz.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdxy0t68a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.813945
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 1.066237e+00, 1145 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06624 0 106 0.81395 1.06624 31.0% - 0s
0 0 0.99861 0 136 0.81395 0.99861 22.7% - 0s
0 0 0.99861 0 136 0.81395 0.99861 22.7% - 0s
0 0 0.99362 0 126 0.81395 0.99362 22.1% - 0s
0 0 0.99342 0 127 0.81395 0.99342 22.0% - 0s
0 0 0.99283 0 132 0.81395 0.99283 22.0% - 0s
0 0 0.99283 0 132 0.81395 0.99283 22.0% - 0s
0 0 0.99272 0 131 0.81395 0.99272 22.0% - 0s
0 0 0.99270 0 131 0.81395 0.99270 22.0% - 0s
0 0 0.99270 0 129 0.81395 0.99270 22.0% - 0s
0 2 0.99270 0 126 0.81395 0.99270 22.0% - 0s
944 606 0.86300 37 118 0.81395 0.93819 15.3% 20.0 5s
3123 1018 0.87347 27 118 0.81395 0.89250 9.65% 22.5 10s
H 4527 1185 0.8139452 0.88065 8.19% 23.1 14s
5054 1247 cutoff 37 0.81395 0.87719 7.77% 23.2 15s
7083 1506 0.81847 40 106 0.81395 0.86639 6.44% 23.1 20s
9720 1734 cutoff 43 0.81395 0.85537 5.09% 23.5 25s
11921 1864 cutoff 41 0.81395 0.84688 4.05% 23.7 30s
15609 2706 0.82608 76 96 0.81395 0.84000 3.20% 22.3 35s
18178 3103 0.82995 59 123 0.81395 0.83728 2.87% 21.8 40s
20943 3798 0.81937 39 129 0.81395 0.83509 2.60% 21.2 60s
20954 3805 0.82581 80 205 0.81395 0.83509 2.60% 21.2 65s
20959 3809 0.82662 64 209 0.81395 0.83509 2.60% 21.2 70s
20964 3812 0.81705 89 232 0.81395 0.83509 2.60% 21.2 75s
20968 3815 0.81595 128 238 0.81395 0.83509 2.60% 21.2 80s
20973 3818 0.82701 44 216 0.81395 0.83509 2.60% 21.2 85s
20978 3821 0.81664 60 233 0.81395 0.83509 2.60% 21.2 90s
20982 3824 0.82833 70 234 0.81395 0.83509 2.60% 21.2 95s
20986 3827 0.82933 43 236 0.81395 0.83509 2.60% 21.2 100s
20991 3830 0.81474 68 216 0.81395 0.83509 2.60% 21.2 105s
20996 3833 0.82130 71 241 0.81395 0.83509 2.60% 21.2 110s
21001 3837 0.81667 78 231 0.81395 0.83509 2.60% 21.1 115s
21006 3840 0.83021 81 233 0.81395 0.83509 2.60% 21.1 120s
21012 3844 0.83133 76 238 0.81395 0.83509 2.60% 21.1 125s
21018 3848 0.83107 30 241 0.81395 0.83509 2.60% 21.1 130s
21023 3851 0.82908 89 239 0.81395 0.83509 2.60% 21.1 135s
21029 3855 0.83201 40 223 0.81395 0.83509 2.60% 21.1 140s
21035 3859 0.83480 72 230 0.81395 0.83509 2.60% 21.1 145s
21039 3862 0.82023 55 234 0.81395 0.83509 2.60% 21.1 150s
21043 3865 0.81937 39 238 0.81395 0.83509 2.60% 21.1 155s
21048 3868 0.83314 74 242 0.81395 0.83509 2.60% 21.1 160s
21053 3871 0.81916 73 256 0.81395 0.83509 2.60% 21.1 165s
21059 3875 0.82662 64 251 0.81395 0.83509 2.60% 21.1 170s
21062 3877 0.83306 70 239 0.81395 0.83509 2.60% 21.1 175s
21067 3881 0.83203 30 241 0.81395 0.83509 2.60% 21.1 180s
21073 3885 0.82701 44 253 0.81395 0.83509 2.60% 21.1 186s
21077 3887 0.83186 56 245 0.81395 0.83509 2.60% 21.1 191s
21081 3890 0.82350 79 252 0.81395 0.83509 2.60% 21.1 197s
21083 3891 0.83494 66 258 0.81395 0.83509 2.60% 21.1 200s
21089 3895 0.83213 91 242 0.81395 0.83509 2.60% 21.1 205s
21093 3898 0.83159 39 252 0.81395 0.83509 2.60% 21.1 210s
21097 3901 0.81570 73 247 0.81395 0.83509 2.60% 21.1 216s
21101 3903 0.81667 78 253 0.81395 0.83509 2.60% 21.0 220s
21105 3906 0.81997 140 261 0.81395 0.83509 2.60% 21.0 226s
21108 3908 0.82956 46 264 0.81395 0.83509 2.60% 21.0 230s
21111 3910 0.81702 105 257 0.81395 0.83509 2.60% 21.0 235s
H21112 3712 0.8139452 0.83509 2.60% 21.0 238s
21115 3714 0.81962 56 243 0.81395 0.83509 2.60% 21.0 241s
21120 3717 0.83323 66 252 0.81395 0.83509 2.60% 21.0 246s
21123 3719 0.82908 89 242 0.81395 0.83509 2.60% 21.0 250s
21127 3722 0.83323 68 249 0.81395 0.83509 2.60% 21.0 255s
21132 3725 0.83416 64 236 0.81395 0.83509 2.60% 21.0 260s
21136 3728 0.83135 43 229 0.81395 0.83509 2.60% 21.0 266s
21139 3730 0.82023 55 230 0.81395 0.83509 2.60% 21.0 270s
21145 3734 0.81537 75 232 0.81395 0.83509 2.60% 21.0 276s
21149 3736 0.81984 65 237 0.81395 0.83509 2.60% 21.0 281s
21152 3738 0.82737 34 242 0.81395 0.83509 2.60% 21.0 286s
21153 3740 0.83509 24 201 0.81395 0.83509 2.60% 22.7 290s
21155 3741 0.83509 25 232 0.81395 0.83509 2.60% 22.7 300s
21165 3742 0.83509 28 205 0.81395 0.83509 2.60% 22.8 305s
21401 3782 0.82063 74 128 0.81395 0.83509 2.60% 23.7 310s
21756 3864 0.83041 40 187 0.81395 0.83509 2.60% 24.6 315s
22042 3818 0.83509 36 228 0.81395 0.83509 2.60% 25.9 320s
22341 3811 infeasible 54 0.81395 0.83509 2.60% 27.2 325s
22595 3801 0.82448 68 159 0.81395 0.83509 2.60% 28.5 330s
23039 3846 0.83187 80 118 0.81395 0.83509 2.60% 29.6 335s
23488 3904 0.82684 63 147 0.81395 0.83509 2.60% 30.7 340s
23933 3909 0.81649 70 141 0.81395 0.83509 2.60% 32.0 345s
24287 3914 0.81971 61 158 0.81395 0.83509 2.60% 32.8 350s
24663 3854 0.81965 34 209 0.81395 0.83509 2.60% 34.1 356s
24807 3836 0.81451 49 165 0.81395 0.83509 2.60% 34.6 360s
25243 3871 cutoff 44 0.81395 0.83509 2.60% 35.3 365s
25797 3873 0.82465 71 125 0.81395 0.83426 2.50% 36.6 371s
26266 3906 0.81456 55 142 0.81395 0.83371 2.43% 37.5 376s
26619 3876 0.82490 42 200 0.81395 0.83332 2.38% 38.5 382s
26796 3832 0.83278 65 151 0.81395 0.83309 2.35% 38.9 385s
27140 3881 cutoff 60 0.81395 0.83307 2.35% 39.4 390s
27537 3849 cutoff 78 0.81395 0.83270 2.30% 39.8 396s
27830 3804 0.83100 39 201 0.81395 0.83236 2.26% 40.4 400s
28385 3693 0.82906 38 205 0.81395 0.83177 2.19% 41.7 406s
28710 3656 0.82953 45 203 0.81395 0.83139 2.14% 42.3 410s
29168 3532 cutoff 64 0.81395 0.83098 2.09% 43.5 418s
29568 3446 0.82732 46 182 0.81395 0.83065 2.05% 44.0 422s
29942 3397 0.82994 52 187 0.81395 0.83043 2.02% 44.7 426s
30243 3325 cutoff 44 0.81395 0.83019 2.00% 45.4 431s
30689 3283 0.82984 66 159 0.81395 0.82993 1.96% 45.9 436s
31196 3228 cutoff 79 0.81395 0.82975 1.94% 46.5 441s
31670 3164 0.82154 48 179 0.81395 0.82954 1.92% 47.0 445s
32070 3071 0.82663 65 119 0.81395 0.82928 1.88% 47.6 450s
32619 3088 0.81665 41 195 0.81395 0.82894 1.84% 48.0 455s
33374 3176 infeasible 85 0.81395 0.82850 1.79% 48.9 463s
33917 3286 0.82807 54 173 0.81395 0.82817 1.75% 49.3 468s
34385 3430 cutoff 55 0.81395 0.82795 1.72% 49.7 474s
34516 3376 0.81928 99 91 0.81395 0.82785 1.71% 49.9 478s
35080 3491 cutoff 90 0.81395 0.82762 1.68% 50.2 483s
35626 3595 0.82243 82 102 0.81395 0.82740 1.65% 50.5 488s
36043 3624 infeasible 64 0.81395 0.82724 1.63% 51.0 492s
36434 3632 0.81944 80 148 0.81395 0.82711 1.62% 51.5 497s
37094 3772 0.81594 36 204 0.81395 0.82676 1.57% 51.6 502s
37427 3806 0.82634 41 188 0.81395 0.82663 1.56% 51.8 506s
37742 3816 cutoff 50 0.81395 0.82655 1.55% 52.4 510s
38138 3864 0.81440 56 167 0.81395 0.82642 1.53% 52.8 515s
38973 3905 cutoff 69 0.81395 0.82609 1.49% 53.6 524s
39518 4021 cutoff 64 0.81395 0.82601 1.48% 53.8 528s
39902 4018 cutoff 77 0.81395 0.82578 1.45% 54.2 532s
40305 4042 0.82442 73 141 0.81395 0.82557 1.43% 54.6 536s
40661 4097 cutoff 51 0.81395 0.82547 1.42% 55.0 541s
40993 4113 0.81927 47 190 0.81395 0.82536 1.40% 55.3 546s
41385 4134 cutoff 83 0.81395 0.82521 1.38% 55.7 550s
41701 4109 0.82484 96 95 0.81395 0.82507 1.37% 56.1 555s
42715 4237 cutoff 53 0.81395 0.82476 1.33% 56.4 563s
43138 4226 0.82195 49 184 0.81395 0.82466 1.32% 56.6 568s
43576 4266 0.82291 95 94 0.81395 0.82457 1.31% 56.8 572s
44035 4297 0.82210 58 158 0.81395 0.82437 1.28% 57.0 577s
44498 4331 0.81564 78 138 0.81395 0.82422 1.26% 57.2 581s
44844 4321 0.81510 50 185 0.81395 0.82413 1.25% 57.4 586s
45190 4353 0.82148 78 151 0.81395 0.82398 1.23% 57.7 590s
45628 4397 cutoff 53 0.81395 0.82383 1.21% 57.9 595s
45990 4440 0.82184 66 160 0.81395 0.82365 1.19% 58.2 600s
Cutting planes:
Gomory: 184
Cover: 5
Implied bound: 40
Projected implied bound: 43
Clique: 1
MIR: 180
StrongCG: 2
Flow cover: 630
Inf proof: 121
Zero half: 2
Explored 46119 nodes (2687509 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.813945 0.813945 0.813945
Time limit reached
Best objective 8.139452252561e-01, best bound 8.236385506753e-01, gap 1.1909%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpawxbiwnh.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptk30_y9_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.809546
Presolve removed 732 rows and 474 columns
Presolve time: 0.03s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 1.058158e+00, 1169 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05816 0 107 0.80955 1.05816 30.7% - 0s
0 0 0.99255 0 136 0.80955 0.99255 22.6% - 0s
0 0 0.99255 0 136 0.80955 0.99255 22.6% - 0s
0 0 0.98748 0 130 0.80955 0.98748 22.0% - 0s
0 0 0.98745 0 132 0.80955 0.98745 22.0% - 0s
0 0 0.98695 0 140 0.80955 0.98695 21.9% - 0s
0 0 0.98677 0 138 0.80955 0.98677 21.9% - 0s
0 0 0.98659 0 138 0.80955 0.98659 21.9% - 0s
0 0 0.98659 0 129 0.80955 0.98659 21.9% - 0s
0 2 0.98659 0 127 0.80955 0.98659 21.9% - 0s
866 579 0.92550 19 133 0.80955 0.92810 14.6% 18.6 5s
2210 903 0.88382 34 132 0.80955 0.92761 14.6% 25.4 10s
3783 1342 0.85750 29 139 0.80955 0.91122 12.6% 30.2 15s
5505 1743 0.84005 31 148 0.80955 0.89998 11.2% 31.9 20s
H 5785 1796 0.8095464 0.89840 11.0% 32.5 21s
6788 1936 0.83179 26 128 0.80955 0.89273 10.3% 32.6 25s
7956 2014 0.84114 33 132 0.80955 0.88776 9.66% 33.6 30s
10047 2196 0.81582 38 127 0.80955 0.87857 8.53% 34.2 35s
11684 2273 cutoff 35 0.80955 0.87190 7.70% 34.9 40s
H13348 2382 0.8095464 0.86584 6.95% 35.3 44s
H13424 2403 0.8095464 0.86584 6.95% 35.3 44s
13503 2367 0.83156 80 82 0.80955 0.86584 6.95% 35.2 45s
15402 2558 0.83333 42 108 0.80955 0.85928 6.14% 34.8 50s
17175 2642 cutoff 56 0.80955 0.85413 5.51% 34.6 55s
18461 2721 0.83586 42 117 0.80955 0.85043 5.05% 34.5 60s
20662 3148 0.81050 62 129 0.80955 0.84642 4.55% 33.8 79s
20664 3149 0.82630 50 92 0.80955 0.84642 4.55% 33.8 80s
20675 3157 0.83193 43 198 0.80955 0.84642 4.55% 33.8 85s
20680 3160 0.82169 45 201 0.80955 0.84642 4.55% 33.8 90s
20685 3163 0.81399 54 208 0.80955 0.84642 4.55% 33.8 95s
20690 3167 0.83232 58 204 0.80955 0.84642 4.55% 33.8 100s
20694 3169 0.82752 32 232 0.80955 0.84642 4.55% 33.8 105s
20700 3173 0.82828 46 227 0.80955 0.84642 4.55% 33.8 110s
20704 3176 0.81699 87 225 0.80955 0.84642 4.55% 33.8 115s
20708 3179 0.81457 37 228 0.80955 0.84642 4.55% 33.8 120s
20714 3183 0.82769 60 238 0.80955 0.84642 4.55% 33.8 125s
20721 3187 0.82857 39 238 0.80955 0.84642 4.55% 33.8 131s
20724 3189 0.81963 51 238 0.80955 0.84642 4.55% 33.7 135s
20728 3192 0.83240 24 239 0.80955 0.84642 4.55% 33.7 140s
20731 3194 0.83382 26 223 0.80955 0.84642 4.55% 33.7 145s
20736 3197 0.82874 54 228 0.80955 0.84642 4.55% 33.7 150s
20739 3199 0.84199 28 227 0.80955 0.84642 4.55% 33.7 155s
20744 3203 0.83691 29 229 0.80955 0.84642 4.55% 33.7 160s
20749 3206 0.83693 35 236 0.80955 0.84642 4.55% 33.7 165s
20753 3209 0.84213 29 233 0.80955 0.84642 4.55% 33.7 170s
20757 3211 0.83491 43 235 0.80955 0.84642 4.55% 33.7 175s
20761 3214 0.81427 58 227 0.80955 0.84642 4.55% 33.7 180s
20765 3217 0.82172 73 239 0.80955 0.84642 4.55% 33.7 186s
20768 3219 0.83883 41 246 0.80955 0.84642 4.55% 33.7 190s
20771 3221 0.82420 49 244 0.80955 0.84642 4.55% 33.7 195s
20775 3223 0.83193 43 247 0.80955 0.84642 4.55% 33.7 200s
20778 3225 0.83327 32 245 0.80955 0.84642 4.55% 33.7 205s
20781 3227 0.81270 133 246 0.80955 0.84642 4.55% 33.7 211s
20783 3229 0.81304 57 253 0.80955 0.84642 4.55% 33.7 215s
20787 3231 0.82104 64 247 0.80955 0.84642 4.55% 33.6 221s
20791 3234 0.83193 61 234 0.80955 0.84642 4.55% 33.6 226s
20793 3235 0.81675 46 228 0.80955 0.84642 4.55% 33.6 230s
20798 3239 0.82493 59 238 0.80955 0.84642 4.55% 33.6 235s
20804 3243 0.81699 87 249 0.80955 0.84642 4.55% 33.6 240s
20807 3245 0.83109 33 240 0.80955 0.84642 4.55% 33.6 245s
20812 3248 0.83512 42 246 0.80955 0.84642 4.55% 33.6 250s
20816 3251 0.81936 33 253 0.80955 0.84642 4.55% 33.6 255s
20820 3253 0.82743 49 231 0.80955 0.84642 4.55% 33.6 260s
20823 3255 0.83901 78 231 0.80955 0.84642 4.55% 33.6 265s
20827 3258 0.84524 46 242 0.80955 0.84642 4.55% 33.6 270s
20831 3261 0.83382 26 243 0.80955 0.84642 4.55% 33.6 276s
20835 3263 0.81362 162 230 0.80955 0.84642 4.55% 33.6 281s
20838 3265 0.84320 41 244 0.80955 0.84642 4.55% 33.6 285s
20843 3269 0.81201 87 245 0.80955 0.84642 4.55% 33.6 290s
20848 3272 0.82435 59 245 0.80955 0.84642 4.55% 33.5 295s
20851 3274 0.83240 62 248 0.80955 0.84642 4.55% 33.5 300s
20855 3277 0.83090 56 248 0.80955 0.84642 4.55% 33.5 306s
20859 3279 0.82686 35 246 0.80955 0.84641 4.55% 33.5 310s
20863 3282 0.83123 29 253 0.80955 0.84635 4.55% 33.5 316s
20867 3285 0.81899 41 247 0.80955 0.84621 4.53% 33.5 321s
20870 3287 0.83995 38 241 0.80955 0.84599 4.50% 33.5 325s
20873 3291 0.83952 26 246 0.80955 0.84561 4.45% 35.4 333s
20875 3292 0.83762 27 232 0.80955 0.84489 4.37% 35.4 340s
20882 3293 0.83956 29 218 0.80955 0.84233 4.05% 35.5 346s
20901 3294 0.83407 34 221 0.80955 0.83951 3.70% 35.7 350s
21095 3340 0.81428 61 174 0.80955 0.83951 3.70% 36.1 355s
21526 3362 0.82081 43 204 0.80955 0.83396 3.02% 36.6 360s
21922 3421 0.80960 77 126 0.80955 0.83272 2.86% 37.5 366s
22161 3435 cutoff 50 0.80955 0.83262 2.85% 38.1 370s
22687 3486 cutoff 47 0.80955 0.83201 2.78% 38.6 375s
23220 3531 0.82002 42 171 0.80955 0.83146 2.71% 39.1 380s
23921 3665 cutoff 58 0.80955 0.83101 2.65% 39.3 385s
24653 3791 0.81826 46 176 0.80955 0.83044 2.58% 39.6 390s
25251 3833 0.82273 47 166 0.80955 0.83001 2.53% 40.0 396s
25639 3843 0.81043 63 133 0.80955 0.82982 2.50% 40.2 400s
26376 3976 cutoff 52 0.80955 0.82962 2.48% 40.0 405s
27104 4030 0.81032 46 152 0.80955 0.82932 2.44% 40.1 411s
27620 4034 0.81744 58 149 0.80955 0.82911 2.42% 40.5 415s
28079 4050 0.82747 69 114 0.80955 0.82895 2.40% 40.8 422s
28755 4060 cutoff 83 0.80955 0.82868 2.36% 41.1 427s
29650 4091 cutoff 79 0.80955 0.82841 2.33% 41.3 433s
30179 4124 0.82668 56 137 0.80955 0.82822 2.31% 41.3 436s
31089 4217 0.81484 63 140 0.80955 0.82784 2.26% 41.7 441s
31644 4393 0.80969 42 193 0.80955 0.82767 2.24% 41.8 445s
32660 4710 cutoff 68 0.80955 0.82737 2.20% 42.0 451s
33751 5064 0.82530 39 196 0.80955 0.82714 2.17% 42.1 457s
34441 5365 0.81344 69 119 0.80955 0.82703 2.16% 41.8 461s
35761 5927 cutoff 67 0.80955 0.82682 2.13% 41.6 466s
36728 6296 0.81859 65 116 0.80955 0.82664 2.11% 41.7 471s
37740 6698 0.81155 68 120 0.80955 0.82647 2.09% 41.7 477s
38128 6782 0.82189 52 151 0.80955 0.82636 2.08% 41.8 480s
39493 7339 cutoff 62 0.80955 0.82617 2.05% 41.5 485s
40497 7681 infeasible 70 0.80955 0.82597 2.03% 41.4 490s
41235 7859 cutoff 66 0.80955 0.82584 2.01% 41.5 495s
42205 8157 0.80993 75 125 0.80955 0.82561 1.98% 41.5 500s
43193 8378 0.82370 73 112 0.80955 0.82540 1.96% 41.5 505s
44055 8586 cutoff 77 0.80955 0.82526 1.94% 41.6 510s
44942 8804 0.81582 48 186 0.80955 0.82508 1.92% 41.6 515s
45813 8961 0.81250 69 112 0.80955 0.82496 1.90% 41.8 520s
46617 9072 0.82394 64 105 0.80955 0.82474 1.88% 41.9 525s
47570 9355 0.82427 75 110 0.80955 0.82459 1.86% 41.8 530s
48376 9460 cutoff 56 0.80955 0.82441 1.84% 41.9 535s
49325 9665 cutoff 59 0.80955 0.82422 1.81% 41.9 540s
50167 9784 0.81950 65 141 0.80955 0.82406 1.79% 42.0 545s
51529 10056 cutoff 48 0.80955 0.82384 1.77% 42.1 551s
52437 10191 0.81382 54 149 0.80955 0.82367 1.74% 42.2 557s
52902 10253 0.81596 74 106 0.80955 0.82357 1.73% 42.2 560s
53947 10417 0.82181 61 124 0.80955 0.82338 1.71% 42.1 565s
54898 10643 cutoff 65 0.80955 0.82325 1.69% 42.1 571s
55380 10664 0.81520 81 84 0.80955 0.82315 1.68% 42.1 576s
56240 10754 0.81635 78 105 0.80955 0.82301 1.66% 42.2 581s
57253 10892 0.82027 85 96 0.80955 0.82279 1.64% 42.2 587s
58323 11117 0.82084 84 95 0.80955 0.82266 1.62% 42.1 592s
58914 11228 0.81111 113 40 0.80955 0.82260 1.61% 42.0 595s
59891 11377 cutoff 52 0.80955 0.82250 1.60% 42.0 600s
Cutting planes:
Gomory: 204
Cover: 9
Implied bound: 28
Projected implied bound: 56
MIR: 205
StrongCG: 4
Flow cover: 635
Inf proof: 128
Zero half: 2
Explored 60294 nodes (2538436 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.809546 0.809546 0.809546 0.809546
Time limit reached
Best objective 8.095464165587e-01, best bound 8.223909350935e-01, gap 1.5866%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwc2ubl0f.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8077z4iu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.801647
Presolve removed 746 rows and 483 columns
Presolve time: 0.03s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 1.048009e+00, 1240 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04801 0 106 0.80165 1.04801 30.7% - 0s
0 0 0.98257 0 138 0.80165 0.98257 22.6% - 0s
0 0 0.97778 0 131 0.80165 0.97778 22.0% - 0s
0 0 0.97758 0 133 0.80165 0.97758 21.9% - 0s
0 0 0.97718 0 142 0.80165 0.97718 21.9% - 0s
0 0 0.97718 0 142 0.80165 0.97718 21.9% - 0s
0 0 0.97702 0 141 0.80165 0.97702 21.9% - 0s
0 0 0.97702 0 141 0.80165 0.97702 21.9% - 0s
0 0 0.97684 0 141 0.80165 0.97684 21.9% - 0s
0 0 0.97684 0 129 0.80165 0.97684 21.9% - 0s
0 2 0.97684 0 129 0.80165 0.97684 21.9% - 0s
772 543 0.91562 15 151 0.80165 0.91562 14.2% 19.5 5s
2550 910 cutoff 34 0.80165 0.89768 12.0% 23.9 10s
H 3487 1223 0.8016471 0.88604 10.5% 24.6 13s
4094 1443 0.87631 28 153 0.80165 0.88260 10.1% 24.2 15s
5481 1747 0.81039 35 144 0.80165 0.87382 9.00% 25.1 20s
7158 2058 0.83853 31 129 0.80165 0.86699 8.15% 25.7 25s
8667 2167 0.80828 32 143 0.80165 0.85956 7.22% 27.0 30s
10556 2296 0.81111 37 135 0.80165 0.85276 6.38% 28.1 35s
11951 2391 0.81522 35 148 0.80165 0.84788 5.77% 28.9 40s
13491 2418 cutoff 32 0.80165 0.84192 5.02% 29.7 45s
15547 2639 cutoff 38 0.80165 0.83568 4.24% 29.8 50s
H16519 2873 0.8016471 0.83394 4.03% 29.5 53s
16990 2912 cutoff 36 0.80165 0.83304 3.92% 29.3 55s
18887 3352 0.80773 35 124 0.80165 0.82996 3.53% 28.8 60s
21013 3844 0.80225 37 130 0.80165 0.82815 3.31% 28.0 79s
21783 4092 0.82623 58 108 0.80165 0.82707 3.17% 27.6 80s
23131 4381 0.81413 54 128 0.80165 0.82613 3.05% 27.7 85s
24793 4738 0.82259 69 99 0.80165 0.82509 2.92% 28.0 90s
26891 5500 0.81084 58 129 0.80165 0.82424 2.82% 28.0 95s
29195 6249 0.80771 101 75 0.80165 0.82323 2.69% 27.9 100s
31821 7097 cutoff 81 0.80165 0.82258 2.61% 27.5 105s
33931 7694 0.81485 41 150 0.80165 0.82205 2.54% 27.4 110s
35804 8078 infeasible 74 0.80165 0.82156 2.48% 27.4 115s
38706 8828 0.81597 52 106 0.80165 0.82099 2.41% 27.1 120s
40787 9272 cutoff 75 0.80165 0.82054 2.36% 26.9 125s
42499 9672 0.81896 82 91 0.80165 0.82029 2.33% 26.9 130s
45075 10240 0.81925 76 105 0.80165 0.81986 2.27% 26.8 135s
46922 10716 0.81525 59 126 0.80165 0.81952 2.23% 26.7 140s
49409 11248 0.81445 52 107 0.80165 0.81909 2.18% 26.6 145s
51386 11521 cutoff 58 0.80165 0.81872 2.13% 26.7 150s
52944 11822 cutoff 47 0.80165 0.81853 2.11% 26.6 156s
54365 12047 0.81209 57 118 0.80165 0.81830 2.08% 26.6 160s
56610 12348 infeasible 76 0.80165 0.81794 2.03% 26.5 165s
58468 12584 0.81483 78 107 0.80165 0.81765 2.00% 26.5 170s
60646 12776 cutoff 90 0.80165 0.81735 1.96% 26.5 175s
62624 12965 0.80576 81 82 0.80165 0.81704 1.92% 26.6 180s
64857 13080 cutoff 82 0.80165 0.81671 1.88% 26.6 185s
67085 13290 0.80670 110 56 0.80165 0.81647 1.85% 26.5 190s
69147 13605 0.80879 81 102 0.80165 0.81615 1.81% 26.4 195s
70837 13718 0.81180 77 88 0.80165 0.81592 1.78% 26.5 200s
72980 13854 0.81361 76 89 0.80165 0.81565 1.75% 26.5 205s
75247 14069 0.80754 86 118 0.80165 0.81543 1.72% 26.6 210s
77086 14370 cutoff 73 0.80165 0.81517 1.69% 26.5 215s
79416 14687 0.81176 62 105 0.80165 0.81492 1.66% 26.5 220s
81763 14862 0.80852 54 151 0.80165 0.81464 1.62% 26.4 225s
83840 15121 0.81026 87 81 0.80165 0.81445 1.60% 26.4 230s
86078 15321 0.80554 130 40 0.80165 0.81422 1.57% 26.3 235s
88209 15451 0.81233 91 94 0.80165 0.81399 1.54% 26.3 240s
90139 15613 0.81135 81 93 0.80165 0.81380 1.52% 26.3 245s
92425 15750 0.81047 95 97 0.80165 0.81356 1.49% 26.3 250s
94614 15898 0.81132 88 116 0.80165 0.81334 1.46% 26.3 255s
96692 15903 infeasible 70 0.80165 0.81310 1.43% 26.3 260s
98331 15924 0.81259 74 115 0.80165 0.81290 1.40% 26.3 266s
99946 15900 cutoff 91 0.80165 0.81270 1.38% 26.3 270s
102090 16032 cutoff 80 0.80165 0.81250 1.35% 26.2 275s
104447 16167 0.81031 95 66 0.80165 0.81227 1.33% 26.1 280s
106490 16267 cutoff 99 0.80165 0.81203 1.30% 26.1 285s
108906 16461 0.80243 96 83 0.80165 0.81179 1.26% 26.1 290s
110897 16489 0.80494 87 77 0.80165 0.81156 1.24% 26.0 295s
113184 16636 0.80286 110 64 0.80165 0.81135 1.21% 26.0 300s
115225 16673 cutoff 122 0.80165 0.81112 1.18% 26.0 305s
117059 16719 0.80220 72 81 0.80165 0.81095 1.16% 25.9 310s
119361 16863 0.80590 97 82 0.80165 0.81074 1.13% 25.8 315s
121766 17005 0.80898 68 101 0.80165 0.81055 1.11% 25.7 320s
123922 17069 cutoff 58 0.80165 0.81033 1.08% 25.7 325s
126296 17112 cutoff 103 0.80165 0.81007 1.05% 25.6 330s
128986 17374 0.80829 82 100 0.80165 0.80986 1.02% 25.4 335s
Cutting planes:
Gomory: 147
Cover: 6
Implied bound: 59
Projected implied bound: 30
Clique: 1
MIR: 33
Flow cover: 134
Inf proof: 454
Explored 131644 nodes (3333287 simplex iterations) in 339.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.801647 0.801647 0.801647
Optimal solution found (tolerance 1.00e-02)
Best objective 8.016471006976e-01, best bound 8.096544618019e-01, gap 0.9989%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp74o37_hm.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc00zbqoq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794385
Presolve removed 760 rows and 492 columns
Presolve time: 0.03s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 1.035184e+00, 1211 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03518 0 110 0.79438 1.03518 30.3% - 0s
0 0 0.96791 0 137 0.79438 0.96791 21.8% - 0s
0 0 0.96791 0 137 0.79438 0.96791 21.8% - 0s
0 0 0.96264 0 140 0.79438 0.96264 21.2% - 0s
0 0 0.96225 0 142 0.79438 0.96225 21.1% - 0s
0 0 0.96215 0 150 0.79438 0.96215 21.1% - 0s
0 0 0.96214 0 150 0.79438 0.96214 21.1% - 0s
0 0 0.96159 0 147 0.79438 0.96159 21.0% - 0s
0 0 0.96152 0 153 0.79438 0.96152 21.0% - 0s
0 0 0.96151 0 154 0.79438 0.96151 21.0% - 0s
0 0 0.96151 0 152 0.79438 0.96151 21.0% - 0s
0 0 0.96151 0 141 0.79438 0.96151 21.0% - 0s
0 2 0.96151 0 141 0.79438 0.96151 21.0% - 0s
746 472 0.89856 13 154 0.79438 0.89856 13.1% 20.5 5s
2805 1071 0.81783 32 131 0.79438 0.86163 8.47% 20.8 10s
H 4327 1369 0.7943849 0.84900 6.88% 21.7 14s
4750 1491 0.80195 126 64 0.79438 0.84900 6.88% 21.6 15s
6250 1728 0.82133 32 111 0.79438 0.83982 5.72% 22.1 20s
8371 2021 0.80800 41 130 0.79438 0.83362 4.94% 23.3 25s
10328 2428 cutoff 58 0.79438 0.82941 4.41% 23.8 30s
11920 2674 cutoff 42 0.79438 0.82631 4.02% 24.1 35s
14194 2787 cutoff 62 0.79438 0.82170 3.44% 24.7 40s
16880 3317 cutoff 39 0.79438 0.81828 3.01% 24.4 45s
19087 3669 cutoff 73 0.79438 0.81639 2.77% 24.3 50s
20948 4067 0.81044 71 141 0.79438 0.81532 2.63% 24.1 69s
20951 4069 0.80646 78 156 0.79438 0.81532 2.63% 24.1 70s
20959 4074 0.80312 37 192 0.79438 0.81532 2.63% 24.1 75s
20967 4080 0.80903 92 200 0.79438 0.81532 2.63% 24.1 80s
20973 4084 0.81424 71 210 0.79438 0.81532 2.63% 24.1 86s
20977 4086 0.80481 127 200 0.79438 0.81532 2.63% 24.1 91s
20981 4089 0.79622 52 216 0.79438 0.81532 2.63% 24.1 95s
20985 4092 0.79755 98 195 0.79438 0.81532 2.63% 24.1 100s
20989 4094 0.80098 88 212 0.79438 0.81532 2.63% 24.1 105s
20993 4097 0.80509 62 228 0.79438 0.81532 2.63% 24.1 110s
20997 4100 0.80738 65 233 0.79438 0.81532 2.63% 24.1 115s
21001 4102 0.80881 91 230 0.79438 0.81532 2.63% 24.0 120s
21005 4105 0.80233 70 223 0.79438 0.81532 2.63% 24.0 125s
21009 4108 0.81376 59 233 0.79438 0.81532 2.63% 24.0 131s
21013 4110 0.80742 107 219 0.79438 0.81532 2.63% 24.0 136s
21016 4112 0.81503 87 229 0.79438 0.81532 2.63% 24.0 140s
21021 4116 0.80470 28 233 0.79438 0.81532 2.63% 24.0 146s
21024 4118 0.79989 107 242 0.79438 0.81532 2.63% 24.0 150s
21027 4120 0.80789 64 233 0.79438 0.81532 2.63% 24.0 155s
21031 4122 0.81258 60 242 0.79438 0.81532 2.63% 24.0 160s
21036 4126 0.80628 71 250 0.79438 0.81532 2.63% 24.0 165s
21040 4128 0.79993 127 261 0.79438 0.81532 2.63% 24.0 170s
21045 4132 0.79483 77 245 0.79438 0.81532 2.63% 24.0 175s
21049 4134 0.79887 151 257 0.79438 0.81532 2.63% 24.0 180s
21053 4137 0.80204 52 252 0.79438 0.81532 2.63% 24.0 185s
21056 4139 0.81247 82 254 0.79438 0.81532 2.63% 24.0 190s
21059 4141 0.80312 37 256 0.79438 0.81532 2.63% 24.0 196s
21061 4142 0.80856 93 257 0.79438 0.81532 2.63% 24.0 200s
21065 4145 0.79706 143 257 0.79438 0.81532 2.63% 24.0 205s
21069 4148 0.81043 47 258 0.79438 0.81532 2.63% 24.0 211s
21073 4150 0.81424 71 241 0.79438 0.81532 2.63% 24.0 216s
21076 4152 0.80867 65 260 0.79438 0.81532 2.63% 24.0 220s
21079 4154 0.79699 44 261 0.79438 0.81532 2.63% 24.0 225s
21083 4157 0.79995 58 258 0.79438 0.81532 2.63% 24.0 231s
21086 4159 0.80607 47 261 0.79438 0.81532 2.63% 23.9 235s
21090 4162 0.80192 78 256 0.79438 0.81532 2.63% 23.9 240s
21093 4164 0.80509 62 250 0.79438 0.81532 2.63% 23.9 246s
21097 4166 0.80738 65 263 0.79438 0.81532 2.63% 23.9 250s
21101 4169 0.80881 91 258 0.79438 0.81532 2.63% 23.9 255s
21105 4172 0.80233 70 266 0.79438 0.81532 2.63% 23.9 260s
21109 4174 0.81376 59 255 0.79438 0.81532 2.63% 23.9 266s
21112 4176 0.80332 83 261 0.79438 0.81532 2.63% 23.9 270s
21116 4179 0.81503 87 252 0.79438 0.81532 2.63% 23.9 275s
21120 4182 0.80388 37 261 0.79438 0.81532 2.63% 23.9 280s
21125 4185 0.81365 61 266 0.79438 0.81532 2.63% 23.9 285s
21129 4188 0.80740 63 269 0.79438 0.81532 2.63% 23.9 290s
21134 4191 0.80682 100 268 0.79438 0.81532 2.63% 23.9 295s
21139 4194 0.81063 64 271 0.79438 0.81532 2.63% 23.9 300s
21145 4198 0.79483 77 276 0.79438 0.81532 2.63% 23.9 305s
21149 4201 0.79887 151 275 0.79438 0.81532 2.63% 23.9 310s
21153 4204 0.80204 52 275 0.79438 0.81532 2.63% 23.9 317s
21155 4208 0.81532 25 270 0.79438 0.81532 2.63% 25.7 325s
21157 4210 0.81532 26 272 0.79438 0.81532 2.63% 25.7 333s
21177 4212 0.79942 31 211 0.79438 0.81532 2.63% 25.9 335s
21208 4213 0.81532 37 243 0.79438 0.81532 2.63% 26.4 340s
21443 4231 infeasible 42 0.79438 0.81532 2.63% 27.4 345s
21640 4236 0.80699 33 231 0.79438 0.81532 2.63% 28.5 350s
21922 4196 infeasible 36 0.79438 0.81532 2.63% 29.8 355s
22239 4194 0.80586 41 228 0.79438 0.81532 2.63% 31.3 360s
22604 4187 0.80996 34 235 0.79438 0.81532 2.63% 32.8 365s
22916 4196 0.80311 50 175 0.79438 0.81532 2.63% 34.1 371s
23128 4244 0.81155 49 216 0.79438 0.81532 2.63% 34.8 375s
23666 4369 0.80316 94 166 0.79438 0.81532 2.63% 35.5 380s
24021 4436 cutoff 37 0.79438 0.81532 2.63% 36.1 385s
24551 4551 0.79691 76 165 0.79438 0.81532 2.63% 36.9 390s
25149 4632 cutoff 69 0.79438 0.81532 2.63% 37.7 396s
25507 4627 0.79503 49 186 0.79438 0.81532 2.63% 38.7 400s
25902 4637 0.80446 80 126 0.79438 0.81532 2.63% 39.6 405s
26229 4585 0.80486 73 141 0.79438 0.81532 2.63% 40.7 410s
26428 4602 0.79808 56 175 0.79438 0.81532 2.63% 41.3 415s
26653 4562 0.79635 76 141 0.79438 0.81532 2.63% 41.9 420s
26983 4524 0.80848 58 203 0.79438 0.81532 2.63% 42.9 426s
27251 4503 0.81291 69 179 0.79438 0.81532 2.63% 43.5 430s
27765 4533 0.81532 41 224 0.79438 0.81532 2.63% 44.4 435s
28255 4506 0.81255 47 202 0.79438 0.81532 2.63% 45.6 442s
28519 4447 cutoff 50 0.79438 0.81520 2.62% 46.3 446s
28829 4407 cutoff 35 0.79438 0.81519 2.62% 47.0 450s
29412 4289 0.79694 67 197 0.79438 0.81478 2.57% 48.6 457s
29687 4244 0.80494 72 160 0.79438 0.81463 2.55% 49.4 461s
29895 4215 0.81002 55 209 0.79438 0.81447 2.53% 50.0 465s
30157 4156 0.80337 64 180 0.79438 0.81433 2.51% 50.8 470s
30464 4172 cutoff 47 0.79438 0.81403 2.47% 51.4 475s
30748 4113 0.80502 53 192 0.79438 0.81390 2.46% 52.1 481s
31282 4069 cutoff 58 0.79438 0.81355 2.41% 52.7 486s
31739 4018 cutoff 48 0.79438 0.81333 2.38% 53.5 491s
32116 3940 cutoff 71 0.79438 0.81300 2.34% 54.4 495s
32481 3878 0.80311 48 194 0.79438 0.81262 2.30% 55.1 500s
32823 3787 0.80466 57 185 0.79438 0.81245 2.27% 56.0 505s
33174 3713 0.81074 58 202 0.79438 0.81212 2.23% 56.8 510s
33459 3622 0.79776 80 151 0.79438 0.81197 2.21% 57.4 515s
33819 3538 cutoff 54 0.79438 0.81166 2.18% 58.2 520s
34294 3637 cutoff 37 0.79438 0.81128 2.13% 58.8 525s
34737 3673 0.80618 48 187 0.79438 0.81097 2.09% 59.5 530s
35180 3731 0.80705 74 155 0.79438 0.81063 2.05% 60.1 535s
35687 3770 0.80027 66 153 0.79438 0.81053 2.03% 60.6 540s
36791 4030 0.80840 65 160 0.79438 0.81003 1.97% 61.1 549s
37370 4135 cutoff 63 0.79438 0.80970 1.93% 61.4 553s
37739 4178 0.80894 59 154 0.79438 0.80935 1.88% 61.7 558s
38224 4243 0.79874 48 200 0.79438 0.80912 1.85% 62.1 563s
38631 4296 0.80022 88 120 0.79438 0.80899 1.84% 62.6 568s
39210 4435 0.80272 42 214 0.79438 0.80879 1.81% 62.7 573s
39945 4640 infeasible 59 0.79438 0.80857 1.79% 62.7 577s
40614 4819 0.80787 68 186 0.79438 0.80834 1.76% 62.6 581s
41224 4972 0.80594 65 171 0.79438 0.80818 1.74% 62.7 586s
41651 5025 0.79687 62 182 0.79438 0.80799 1.71% 63.0 590s
42358 5239 0.80496 72 139 0.79438 0.80775 1.68% 62.8 595s
43235 5454 cutoff 40 0.79438 0.80741 1.64% 62.9 600s
Cutting planes:
Gomory: 184
Cover: 10
Implied bound: 51
Projected implied bound: 55
Clique: 1
MIR: 166
StrongCG: 2
Flow cover: 633
Inf proof: 128
Zero half: 1
Network: 1
Explored 43351 nodes (2730351 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.794385 0.794385
Time limit reached
Best objective 7.943849272371e-01, best bound 8.073971786005e-01, gap 1.6380%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeb05tdkp.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuz68cfmd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.786477
Presolve removed 774 rows and 501 columns
Presolve time: 0.03s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 1.024497e+00, 1236 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02450 0 111 0.78648 1.02450 30.3% - 0s
0 0 0.96469 0 138 0.78648 0.96469 22.7% - 0s
0 0 0.96455 0 138 0.78648 0.96455 22.6% - 0s
0 0 0.95253 0 145 0.78648 0.95253 21.1% - 0s
0 0 0.95244 0 149 0.78648 0.95244 21.1% - 0s
0 0 0.95242 0 150 0.78648 0.95242 21.1% - 0s
0 0 0.95242 0 150 0.78648 0.95242 21.1% - 0s
0 0 0.95242 0 150 0.78648 0.95242 21.1% - 0s
0 2 0.95242 0 144 0.78648 0.95242 21.1% - 0s
795 554 infeasible 20 0.78648 0.88211 12.2% 18.6 5s
2624 910 0.81249 30 138 0.78648 0.85377 8.56% 23.0 10s
H 3619 1196 0.7864768 0.84520 7.47% 24.4 14s
3910 1256 0.83522 32 125 0.78648 0.84296 7.18% 24.6 15s
5318 1408 0.81922 40 103 0.78648 0.83249 5.85% 26.5 20s
7314 1563 infeasible 29 0.78648 0.82144 4.45% 27.4 25s
8728 1742 cutoff 58 0.78648 0.81707 3.89% 27.5 30s
10793 2209 cutoff 59 0.78648 0.81365 3.46% 26.3 35s
13729 2912 0.79931 84 90 0.78648 0.81068 3.08% 24.3 40s
16630 3480 cutoff 75 0.78648 0.80791 2.73% 22.8 45s
19619 4072 0.80175 82 83 0.78648 0.80650 2.55% 21.7 50s
20656 4334 0.79686 62 150 0.78648 0.80573 2.45% 21.4 68s
20664 4339 0.80408 89 228 0.78648 0.80573 2.45% 21.4 70s
20670 4343 0.79878 68 219 0.78648 0.80573 2.45% 21.3 75s
20677 4348 0.80232 58 231 0.78648 0.80573 2.45% 21.3 80s
20681 4351 0.79873 56 236 0.78648 0.80573 2.45% 21.3 85s
20685 4353 0.80355 37 265 0.78648 0.80573 2.45% 21.3 91s
20688 4355 0.80009 46 256 0.78648 0.80573 2.45% 21.3 95s
20692 4358 0.80215 77 256 0.78648 0.80573 2.45% 21.3 100s
20696 4361 0.80315 60 258 0.78648 0.80573 2.45% 21.3 105s
20701 4364 0.79983 60 260 0.78648 0.80573 2.45% 21.3 110s
20706 4367 0.79316 112 261 0.78648 0.80573 2.45% 21.3 115s
20711 4371 0.80021 87 248 0.78648 0.80573 2.45% 21.3 120s
20716 4374 0.79891 58 275 0.78648 0.80573 2.45% 21.3 125s
20721 4377 0.80302 86 254 0.78648 0.80573 2.45% 21.3 130s
20726 4381 0.79866 94 269 0.78648 0.80573 2.45% 21.3 135s
20731 4384 0.79591 96 270 0.78648 0.80573 2.45% 21.3 140s
20736 4387 0.80205 85 267 0.78648 0.80573 2.45% 21.3 145s
20741 4391 0.79090 87 264 0.78648 0.80573 2.45% 21.3 151s
20745 4393 0.79866 94 260 0.78648 0.80573 2.45% 21.3 156s
20748 4395 0.80065 28 268 0.78648 0.80573 2.45% 21.3 160s
20754 4399 0.79097 125 265 0.78648 0.80573 2.45% 21.3 165s
20759 4403 0.79431 89 259 0.78648 0.80573 2.45% 21.3 171s
20762 4405 0.79215 76 269 0.78648 0.80573 2.45% 21.3 175s
20766 4407 0.79260 82 274 0.78648 0.80573 2.45% 21.3 180s
20771 4411 0.80547 51 275 0.78648 0.80573 2.45% 21.2 185s
20775 4413 0.79247 52 275 0.78648 0.80573 2.45% 21.2 191s
20777 4415 0.80232 58 268 0.78648 0.80573 2.45% 21.2 195s
20782 4418 0.80138 44 279 0.78648 0.80573 2.45% 21.2 200s
20787 4421 0.79534 45 278 0.78648 0.80573 2.45% 21.2 205s
20792 4425 0.80215 77 278 0.78648 0.80573 2.45% 21.2 210s
20797 4428 0.80471 76 280 0.78648 0.80573 2.45% 21.2 216s
20800 4432 0.80573 22 253 0.78648 0.80573 2.45% 22.6 224s
20802 4431 cutoff 23 0.78648 0.80573 2.45% 22.6 232s
20808 4430 0.80573 25 263 0.78648 0.80573 2.45% 22.7 235s
20829 4434 0.80573 29 262 0.78648 0.80573 2.45% 22.8 240s
20965 4449 infeasible 27 0.78648 0.80573 2.45% 23.5 245s
21273 4526 infeasible 32 0.78648 0.80573 2.45% 24.3 250s
21576 4567 infeasible 29 0.78648 0.80573 2.45% 25.3 255s
21861 4593 0.79085 53 218 0.78648 0.80573 2.45% 26.1 261s
22026 4615 0.80573 34 241 0.78648 0.80573 2.45% 26.5 265s
22426 4622 0.80288 38 203 0.78648 0.80573 2.45% 27.6 270s
22689 4632 0.80573 37 238 0.78648 0.80573 2.45% 28.6 275s
23019 4622 0.80573 39 246 0.78648 0.80573 2.45% 29.7 280s
23440 4662 0.79253 45 196 0.78648 0.80573 2.45% 30.8 285s
23757 4653 cutoff 49 0.78648 0.80573 2.45% 31.8 291s
23930 4647 infeasible 58 0.78648 0.80573 2.45% 32.3 295s
24318 4624 0.79911 40 232 0.78648 0.80573 2.45% 33.6 301s
24573 4623 0.80573 49 230 0.78648 0.80573 2.45% 34.4 305s
24928 4647 0.79920 39 214 0.78648 0.80573 2.45% 35.2 310s
H25066 4412 0.7864768 0.80573 2.45% 35.7 314s
25076 4398 cutoff 41 0.78648 0.80573 2.45% 35.7 316s
25419 4387 0.80240 50 216 0.78648 0.80573 2.45% 36.8 322s
25580 4374 0.79196 50 199 0.78648 0.80573 2.45% 37.5 325s
26099 4393 cutoff 52 0.78648 0.80573 2.45% 38.4 331s
26542 4343 0.78905 49 198 0.78648 0.80573 2.45% 39.6 338s
26553 4322 0.79045 53 207 0.78648 0.80573 2.45% 39.7 342s
26817 4309 cutoff 52 0.78648 0.80573 2.45% 40.3 345s
27324 4249 cutoff 45 0.78648 0.80573 2.45% 41.5 353s
27724 4231 0.79451 55 206 0.78648 0.80573 2.45% 42.0 357s
28087 4256 0.79365 48 214 0.78648 0.80573 2.45% 42.5 363s
28159 4220 0.78752 63 190 0.78648 0.80573 2.45% 42.6 367s
28524 4237 0.80257 36 232 0.78648 0.80573 2.45% 43.2 372s
28816 4217 infeasible 64 0.78648 0.80573 2.45% 43.9 376s
29196 4202 0.79821 37 251 0.78648 0.80573 2.45% 44.5 381s
29507 4170 0.80573 71 167 0.78648 0.80573 2.45% 45.2 385s
29862 4125 0.80424 90 148 0.78648 0.80573 2.45% 45.9 391s
30397 4183 cutoff 43 0.78648 0.80573 2.45% 46.3 396s
30970 4230 0.79468 77 161 0.78648 0.80573 2.45% 46.8 401s
31487 4182 0.79615 64 177 0.78648 0.80573 2.45% 47.4 407s
32099 4224 cutoff 67 0.78648 0.80573 2.45% 47.7 412s
32653 4242 cutoff 47 0.78648 0.80573 2.45% 48.1 417s
33216 4294 0.79476 45 207 0.78648 0.80573 2.45% 48.5 422s
33596 4335 0.80115 56 210 0.78648 0.80573 2.45% 48.9 427s
34241 4621 0.80199 68 157 0.78648 0.80573 2.45% 49.1 432s
34715 4774 0.79801 63 183 0.78648 0.80573 2.45% 49.5 437s
35160 4924 0.80304 39 235 0.78648 0.80573 2.45% 50.0 442s
35634 5064 0.80325 59 187 0.78648 0.80573 2.45% 50.4 447s
36280 5278 cutoff 52 0.78648 0.80573 2.45% 50.6 452s
36713 5402 0.79616 51 210 0.78648 0.80573 2.45% 51.0 457s
37222 5592 cutoff 111 0.78648 0.80573 2.45% 51.3 462s
37787 5778 0.79759 107 129 0.78648 0.80573 2.45% 51.2 466s
38281 5954 cutoff 64 0.78648 0.80573 2.45% 51.4 472s
H38349 5984 0.7864768 0.80573 2.45% 51.4 472s
38499 6004 0.79173 82 153 0.78648 0.80573 2.45% 51.5 477s
38835 6104 0.78862 107 107 0.78648 0.80573 2.45% 51.7 482s
39557 6409 0.79157 106 82 0.78648 0.80573 2.45% 51.6 487s
40003 6515 0.80060 68 176 0.78648 0.80573 2.45% 51.9 492s
40536 6697 cutoff 65 0.78648 0.80573 2.45% 52.1 496s
41040 6836 0.78802 73 134 0.78648 0.80573 2.45% 52.3 501s
41614 7071 0.80208 61 150 0.78648 0.80573 2.45% 52.4 511s
41623 7077 0.79554 100 244 0.78648 0.80573 2.45% 52.4 515s
41627 7080 0.79449 67 254 0.78648 0.80573 2.45% 52.4 521s
41630 7082 0.80573 44 265 0.78648 0.80573 2.45% 52.4 525s
41633 7084 0.78710 55 259 0.78648 0.80573 2.45% 52.4 530s
41637 7086 0.78768 92 272 0.78648 0.80573 2.45% 52.4 535s
41640 7088 0.80130 84 253 0.78648 0.80573 2.45% 52.4 540s
41643 7090 0.78655 177 253 0.78648 0.80573 2.45% 52.4 545s
41648 7094 0.78949 96 249 0.78648 0.80573 2.45% 52.4 551s
41651 7096 0.80573 46 255 0.78648 0.80573 2.45% 52.4 555s
41655 7098 0.80303 76 260 0.78648 0.80573 2.45% 52.4 560s
41660 7102 0.79198 50 258 0.78648 0.80573 2.45% 52.4 565s
41665 7105 0.78808 61 265 0.78648 0.80573 2.45% 52.3 570s
41670 7108 0.79461 86 267 0.78648 0.80573 2.45% 52.3 575s
41675 7112 0.80348 80 274 0.78648 0.80573 2.45% 52.3 580s
41679 7114 0.79746 64 266 0.78648 0.80573 2.45% 52.3 585s
41683 7117 0.78813 149 269 0.78648 0.80573 2.45% 52.3 590s
41687 7120 0.79899 45 270 0.78648 0.80573 2.45% 52.3 595s
Cutting planes:
Gomory: 111
Cover: 5
Implied bound: 11
Projected implied bound: 24
MIR: 65
StrongCG: 4
Flow cover: 253
Inf proof: 15
Explored 41690 nodes (2201462 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.786477 0.786477 0.786477 0.786477
Time limit reached
Best objective 7.864768017402e-01, best bound 8.057314604070e-01, gap 2.4482%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5e2y5g8h.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz2pw_6f6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.776565
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 1.009821e+00, 1238 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00982 0 114 0.77657 1.00982 30.0% - 0s
0 0 0.94984 0 152 0.77657 0.94984 22.3% - 0s
0 0 0.94984 0 152 0.77657 0.94984 22.3% - 0s
0 0 0.94540 0 140 0.77657 0.94540 21.7% - 0s
0 0 0.94535 0 142 0.77657 0.94535 21.7% - 0s
0 0 0.94481 0 152 0.77657 0.94481 21.7% - 0s
0 0 0.94481 0 151 0.77657 0.94481 21.7% - 0s
0 0 0.94465 0 152 0.77657 0.94465 21.6% - 0s
0 0 0.94448 0 152 0.77657 0.94448 21.6% - 0s
0 0 0.94448 0 140 0.77657 0.94448 21.6% - 0s
0 2 0.94448 0 140 0.77657 0.94448 21.6% - 0s
751 526 infeasible 15 0.77657 0.87687 12.9% 18.6 5s
2017 700 cutoff 40 0.77657 0.85093 9.58% 28.7 10s
3242 977 0.79343 52 126 0.77657 0.83911 8.05% 29.5 15s
4984 1302 0.78701 41 126 0.77657 0.82580 6.34% 30.2 20s
6831 1563 0.79774 36 135 0.77657 0.81707 5.22% 31.1 25s
8222 1676 0.80278 38 120 0.77657 0.81275 4.66% 31.2 30s
9598 1686 0.80004 47 115 0.77657 0.80926 4.21% 31.4 35s
11738 1738 cutoff 51 0.77657 0.80369 3.49% 31.1 40s
H13266 2152 0.7765652 0.80171 3.24% 30.2 44s
13312 2103 0.79539 50 122 0.77657 0.80155 3.22% 30.2 45s
15194 2502 0.79860 61 121 0.77657 0.79947 2.95% 29.2 50s
18099 3268 0.78533 56 106 0.77657 0.79666 2.59% 27.1 55s
20376 3760 cutoff 53 0.77657 0.79525 2.41% 26.3 60s
22137 4149 0.78540 68 140 0.77657 0.79405 2.25% 25.7 79s
22141 4152 0.78347 85 182 0.77657 0.79405 2.25% 25.7 80s
22147 4156 0.78412 50 210 0.77657 0.79405 2.25% 25.7 85s
22153 4160 0.78490 103 219 0.77657 0.79405 2.25% 25.7 90s
22160 4164 0.78555 106 224 0.77657 0.79405 2.25% 25.7 95s
22165 4168 0.79386 40 218 0.77657 0.79405 2.25% 25.7 100s
22169 4170 0.78609 32 235 0.77657 0.79405 2.25% 25.7 105s
22175 4174 0.79387 48 246 0.77657 0.79405 2.25% 25.6 110s
22180 4178 0.79330 74 251 0.77657 0.79405 2.25% 25.6 115s
22185 4181 0.78350 39 254 0.77657 0.79405 2.25% 25.6 120s
22190 4184 0.79365 72 257 0.77657 0.79405 2.25% 25.6 125s
22196 4188 0.78307 96 255 0.77657 0.79405 2.25% 25.6 130s
22202 4192 0.78554 75 242 0.77657 0.79405 2.25% 25.6 135s
22207 4196 0.78028 71 250 0.77657 0.79405 2.25% 25.6 140s
22212 4199 0.78946 65 255 0.77657 0.79405 2.25% 25.6 145s
22217 4202 0.78663 53 247 0.77657 0.79405 2.25% 25.6 150s
22223 4206 0.77854 51 274 0.77657 0.79405 2.25% 25.6 155s
22227 4209 0.78629 74 276 0.77657 0.79405 2.25% 25.6 160s
22231 4212 0.77907 73 274 0.77657 0.79405 2.25% 25.6 165s
22236 4215 0.79122 82 277 0.77657 0.79405 2.25% 25.6 170s
22241 4218 0.78347 85 261 0.77657 0.79405 2.25% 25.6 175s
22245 4221 0.77968 90 268 0.77657 0.79405 2.25% 25.6 180s
22249 4224 0.77795 71 265 0.77657 0.79405 2.25% 25.6 185s
22253 4226 0.78490 103 273 0.77657 0.79405 2.25% 25.6 190s
22257 4229 0.78857 77 280 0.77657 0.79405 2.25% 25.6 196s
22261 4232 0.78314 42 275 0.77657 0.79405 2.25% 25.5 200s
22265 4234 0.79386 40 278 0.77657 0.79405 2.25% 25.5 206s
22268 4236 0.77909 48 272 0.77657 0.79405 2.25% 25.5 210s
22271 4238 0.79058 44 262 0.77657 0.79405 2.25% 25.5 215s
22276 4242 0.77982 55 272 0.77657 0.79405 2.25% 25.5 220s
22279 4244 0.78771 67 269 0.77657 0.79405 2.25% 25.5 225s
22284 4247 0.78978 78 270 0.77657 0.79405 2.25% 25.5 230s
22289 4250 0.79221 46 272 0.77657 0.79405 2.25% 25.5 236s
22293 4253 0.79196 34 279 0.77657 0.79405 2.25% 25.5 242s
22296 4255 0.78307 96 281 0.77657 0.79405 2.25% 25.5 245s
22300 4258 0.78090 66 283 0.77657 0.79405 2.25% 25.5 250s
22305 4261 0.79008 62 278 0.77657 0.79405 2.25% 25.5 255s
22309 4264 0.78503 52 284 0.77657 0.79405 2.25% 25.5 261s
22312 4266 0.78946 65 280 0.77657 0.79405 2.25% 25.5 265s
22316 4268 0.78031 50 289 0.77657 0.79405 2.25% 25.5 270s
22321 4272 0.78040 59 280 0.77657 0.79405 2.25% 25.5 275s
22325 4274 0.78947 74 265 0.77657 0.79405 2.25% 25.5 280s
22329 4277 0.78477 103 249 0.77657 0.79405 2.25% 25.5 285s
22332 4279 0.79376 55 251 0.77657 0.79405 2.25% 25.5 290s
22337 4282 0.78540 68 257 0.77657 0.79405 2.25% 25.5 295s
22341 4285 0.78347 85 250 0.77657 0.79405 2.25% 25.5 300s
22345 4288 0.77968 90 271 0.77657 0.79405 2.25% 25.5 305s
22347 4292 0.79405 24 257 0.77657 0.79405 2.25% 27.0 312s
22349 4295 0.79405 25 266 0.77657 0.79405 2.25% 27.0 319s
22357 4288 0.79405 26 249 0.77657 0.79405 2.25% 27.1 321s
22413 4312 infeasible 39 0.77657 0.79405 2.25% 27.3 325s
22694 4383 0.79405 51 211 0.77657 0.79405 2.25% 28.1 330s
23060 4509 0.78978 43 221 0.77657 0.79405 2.25% 28.7 335s
23444 4571 0.78250 37 221 0.77657 0.79405 2.25% 29.7 340s
23695 4609 infeasible 60 0.77657 0.79405 2.25% 30.5 345s
23916 4604 0.79405 35 232 0.77657 0.79405 2.25% 31.5 350s
24206 4613 0.77971 34 241 0.77657 0.79405 2.25% 32.8 355s
24404 4650 0.78198 45 212 0.77657 0.79405 2.25% 33.7 361s
24630 4663 cutoff 45 0.77657 0.79405 2.25% 34.5 366s
24835 4648 0.78109 43 205 0.77657 0.79405 2.25% 35.7 370s
25081 4609 0.79405 39 219 0.77657 0.79405 2.25% 36.9 375s
25377 4584 cutoff 38 0.77657 0.79405 2.25% 38.2 380s
H25682 4371 0.7765652 0.79405 2.25% 39.1 384s
25700 4371 cutoff 34 0.77657 0.79405 2.25% 39.2 388s
25729 4352 cutoff 39 0.77657 0.79405 2.25% 39.3 390s
25987 4315 cutoff 50 0.77657 0.79405 2.25% 40.4 395s
26295 4278 cutoff 35 0.77657 0.79405 2.25% 41.6 400s
26623 4221 0.79083 37 222 0.77657 0.79405 2.25% 43.1 407s
26937 4150 0.78400 40 214 0.77657 0.79405 2.25% 44.5 412s
27185 4137 0.78168 41 202 0.77657 0.79405 2.25% 45.1 415s
27552 4121 cutoff 38 0.77657 0.79405 2.25% 46.3 426s
27778 4062 0.78307 43 205 0.77657 0.79405 2.25% 47.1 432s
28011 4023 0.79233 53 199 0.77657 0.79405 2.25% 47.9 436s
28233 3997 0.79186 37 213 0.77657 0.79405 2.25% 48.6 440s
28663 3914 cutoff 42 0.77657 0.79405 2.25% 50.4 447s
28857 3871 0.78339 49 185 0.77657 0.79405 2.25% 51.3 451s
29177 3864 cutoff 43 0.77657 0.79405 2.25% 52.1 455s
29363 3843 0.78938 42 203 0.77657 0.79405 2.25% 52.6 460s
29735 3843 cutoff 40 0.77657 0.79405 2.25% 53.3 465s
30437 3873 0.79197 53 202 0.77657 0.79405 2.25% 54.7 473s
30769 3841 0.78574 56 198 0.77657 0.79405 2.25% 55.7 478s
31370 3935 0.78316 43 209 0.77657 0.79405 2.25% 56.2 484s
31673 3877 0.79405 63 165 0.77657 0.79405 2.25% 57.2 489s
32176 3844 0.78945 40 226 0.77657 0.79405 2.25% 58.0 496s
32832 3866 infeasible 50 0.77657 0.79405 2.25% 58.6 501s
33078 3834 0.78658 48 198 0.77657 0.79405 2.25% 59.2 507s
33614 3868 0.79288 63 165 0.77657 0.79405 2.25% 59.9 513s
34252 3894 0.78366 36 230 0.77657 0.79405 2.25% 60.3 519s
34724 3987 cutoff 39 0.77657 0.79405 2.25% 60.9 525s
35335 4202 0.79190 50 208 0.77657 0.79405 2.25% 61.3 530s
35768 4302 0.78810 39 183 0.77657 0.79405 2.25% 62.1 536s
36257 4419 cutoff 43 0.77657 0.79405 2.25% 62.7 542s
36859 4595 cutoff 42 0.77657 0.79405 2.25% 63.1 547s
37317 4703 0.78519 45 195 0.77657 0.79405 2.25% 63.6 552s
37796 4847 0.79001 58 182 0.77657 0.79405 2.25% 64.1 557s
38232 4949 0.77838 54 150 0.77657 0.79405 2.25% 64.3 563s
38775 5061 0.78983 68 147 0.77657 0.79405 2.25% 64.8 568s
39504 5324 cutoff 46 0.77657 0.79405 2.25% 64.9 573s
40006 5412 cutoff 49 0.77657 0.79399 2.24% 65.3 579s
40564 5470 0.78576 79 136 0.77657 0.79383 2.22% 65.7 584s
41218 5656 0.78990 56 149 0.77657 0.79362 2.20% 65.9 589s
41807 5817 0.78571 40 189 0.77657 0.79336 2.16% 66.1 595s
42243 5894 cutoff 62 0.77657 0.79317 2.14% 66.5 600s
Cutting planes:
Gomory: 194
Cover: 7
Implied bound: 31
Projected implied bound: 60
MIR: 163
StrongCG: 4
Flow cover: 594
Inf proof: 106
Zero half: 1
Explored 42926 nodes (2854549 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.776565 0.776565 0.776565
Time limit reached
Best objective 7.765652295374e-01, best bound 7.929758206164e-01, gap 2.1132%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0swbh9jv.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbji0vdz1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2509_ by 0.999999784
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 9.994009e-01, 1327 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99940 0 117 - 0.99940 - - 0s
Another try with MIP start
H 0 0 0.7709492 0.99940 29.6% - 0s
0 0 0.96019 0 149 0.77095 0.96019 24.5% - 0s
0 0 0.96019 0 148 0.77095 0.96019 24.5% - 0s
0 0 0.94111 0 149 0.77095 0.94111 22.1% - 0s
0 0 0.94109 0 149 0.77095 0.94109 22.1% - 0s
0 0 0.93947 0 160 0.77095 0.93947 21.9% - 0s
0 0 0.93947 0 160 0.77095 0.93947 21.9% - 0s
0 0 0.93887 0 159 0.77095 0.93887 21.8% - 0s
0 0 0.93887 0 159 0.77095 0.93887 21.8% - 0s
0 0 0.93887 0 159 0.77095 0.93887 21.8% - 0s
0 0 0.93887 0 149 0.77095 0.93887 21.8% - 0s
0 2 0.93887 0 147 0.77095 0.93887 21.8% - 0s
769 534 0.86962 10 145 0.77095 0.86962 12.8% 18.3 5s
1790 744 0.83073 25 141 0.77095 0.86962 12.8% 28.8 10s
H 2666 903 0.7709492 0.86380 12.0% 32.2 14s
2683 896 0.78289 51 106 0.77095 0.86380 12.0% 32.2 15s
3923 1317 0.78065 31 141 0.77095 0.85532 10.9% 32.9 20s
5316 1533 infeasible 32 0.77095 0.84837 10.0% 35.6 25s
6773 1786 cutoff 31 0.77095 0.84278 9.32% 37.1 30s
7847 1922 0.78596 31 140 0.77095 0.83807 8.71% 38.3 35s
9446 2119 0.78617 35 139 0.77095 0.83239 7.97% 39.7 40s
10879 2191 0.79326 34 151 0.77095 0.82815 7.42% 40.7 45s
12366 2251 0.78109 37 129 0.77095 0.82396 6.88% 41.5 50s
13427 2271 0.79607 29 154 0.77095 0.82098 6.49% 42.1 55s
14888 2331 0.77168 33 135 0.77095 0.81747 6.03% 43.1 60s
16096 2417 cutoff 41 0.77095 0.81501 5.72% 43.2 65s
17578 2497 0.80439 33 149 0.77095 0.81146 5.25% 43.7 70s
18756 2555 cutoff 34 0.77095 0.80896 4.93% 44.0 75s
20355 2696 0.78592 30 156 0.77095 0.80672 4.64% 44.4 80s
20783 2707 0.79797 36 155 0.77095 0.80568 4.50% 44.4 98s
21166 2731 0.79021 34 162 0.77095 0.80544 4.47% 44.5 100s
22273 2740 0.78122 35 161 0.77095 0.80335 4.20% 45.5 105s
23077 2719 infeasible 40 0.77095 0.80184 4.01% 46.4 110s
24038 2650 infeasible 32 0.77095 0.79987 3.75% 47.9 115s
24918 2688 cutoff 36 0.77095 0.79852 3.58% 48.6 120s
25676 2703 0.79007 43 147 0.77095 0.79743 3.43% 49.4 125s
26906 2806 cutoff 43 0.77095 0.79571 3.21% 50.3 131s
27888 2950 0.78538 57 121 0.77095 0.79466 3.08% 50.8 138s
28179 2993 0.77738 33 158 0.77095 0.79441 3.04% 50.8 140s
29481 3353 0.77373 34 156 0.77095 0.79351 2.93% 50.4 146s
30480 3692 0.78013 33 190 0.77095 0.79278 2.83% 49.9 150s
31781 4040 infeasible 30 0.77095 0.79207 2.74% 49.6 156s
33268 4479 0.78681 41 151 0.77095 0.79140 2.65% 49.1 161s
34763 4962 0.77559 78 92 0.77095 0.79097 2.60% 48.5 166s
36331 5406 infeasible 61 0.77095 0.79029 2.51% 47.8 171s
37828 5825 0.78781 69 112 0.77095 0.78987 2.45% 47.3 176s
39334 6219 infeasible 65 0.77095 0.78937 2.39% 46.6 180s
40642 6476 0.77800 58 130 0.77095 0.78907 2.35% 46.3 185s
42059 6717 0.78412 70 116 0.77095 0.78866 2.30% 45.9 190s
43867 7119 cutoff 32 0.77095 0.78815 2.23% 45.5 196s
45020 7194 0.78706 67 120 0.77095 0.78788 2.20% 45.5 200s
46345 7333 cutoff 31 0.77095 0.78750 2.15% 45.3 205s
48289 7634 infeasible 78 0.77095 0.78705 2.09% 44.8 210s
49727 7767 0.78654 67 102 0.77095 0.78675 2.05% 44.5 215s
51167 8008 0.77965 47 159 0.77095 0.78642 2.01% 44.2 220s
53040 8369 0.77536 42 150 0.77095 0.78606 1.96% 43.8 226s
54372 8548 0.77972 62 124 0.77095 0.78578 1.92% 43.6 230s
55274 8717 cutoff 53 0.77095 0.78564 1.91% 43.5 235s
56185 8737 0.78018 59 124 0.77095 0.78542 1.88% 43.3 240s
58010 8885 infeasible 48 0.77095 0.78502 1.83% 43.0 245s
59289 8974 cutoff 49 0.77095 0.78479 1.80% 42.8 250s
60981 9091 cutoff 43 0.77095 0.78443 1.75% 42.6 256s
62332 9209 0.78012 72 95 0.77095 0.78417 1.71% 42.4 260s
63699 9262 0.77435 54 110 0.77095 0.78391 1.68% 42.3 265s
65088 9400 cutoff 36 0.77095 0.78362 1.64% 42.1 270s
66419 9527 0.77456 64 126 0.77095 0.78337 1.61% 41.9 275s
67963 9600 0.77429 67 106 0.77095 0.78310 1.58% 41.7 280s
69356 9675 0.78082 47 124 0.77095 0.78282 1.54% 41.5 285s
71264 9778 0.77751 114 72 0.77095 0.78256 1.51% 41.2 290s
72608 9843 0.77524 71 92 0.77095 0.78226 1.47% 41.0 295s
74678 10106 0.77633 95 105 0.77095 0.78197 1.43% 40.6 300s
76122 10215 cutoff 81 0.77095 0.78175 1.40% 40.3 305s
77874 10340 cutoff 63 0.77095 0.78151 1.37% 40.1 310s
79468 10472 0.78069 48 162 0.77095 0.78124 1.33% 39.9 315s
81310 10673 0.77217 118 50 0.77095 0.78096 1.30% 39.6 320s
83177 10791 infeasible 66 0.77095 0.78072 1.27% 39.3 326s
84506 10860 0.77490 83 99 0.77095 0.78053 1.24% 39.1 330s
86506 11153 cutoff 48 0.77095 0.78032 1.21% 38.8 335s
88469 11417 infeasible 48 0.77095 0.78007 1.18% 38.4 340s
90568 11648 cutoff 42 0.77095 0.77986 1.16% 38.0 345s
92550 11638 cutoff 67 0.77095 0.77965 1.13% 37.7 350s
94427 11629 cutoff 40 0.77095 0.77940 1.10% 37.5 355s
96593 11750 0.77527 79 83 0.77095 0.77917 1.07% 37.1 360s
97994 11728 cutoff 77 0.77095 0.77898 1.04% 37.0 365s
99989 11790 cutoff 84 0.77095 0.77870 1.01% 36.7 370s
Cutting planes:
Learned: 1
Gomory: 185
Cover: 4
Implied bound: 88
Projected implied bound: 54
MIR: 40
StrongCG: 1
Flow cover: 155
Inf proof: 465
Explored 100803 nodes (3694582 simplex iterations) in 371.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.770949 0.770949
Optimal solution found (tolerance 1.00e-02)
Best objective 7.709492474931e-01, best bound 7.786334327290e-01, gap 0.9967%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm56z4ish.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_1ia6a7u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.76092
Presolve removed 816 rows and 528 columns
Presolve time: 0.04s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 9.838450e-01, 1347 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98385 0 118 0.76092 0.98385 29.3% - 0s
0 0 0.93656 0 145 0.76092 0.93656 23.1% - 0s
0 0 0.93656 0 145 0.76092 0.93656 23.1% - 0s
0 0 0.92578 0 146 0.76092 0.92578 21.7% - 0s
0 0 0.92571 0 146 0.76092 0.92571 21.7% - 0s
0 0 0.92544 0 157 0.76092 0.92544 21.6% - 0s
0 0 0.92544 0 157 0.76092 0.92544 21.6% - 0s
0 0 0.92539 0 158 0.76092 0.92539 21.6% - 0s
0 0 0.92539 0 158 0.76092 0.92539 21.6% - 0s
0 0 0.92532 0 157 0.76092 0.92532 21.6% - 0s
0 0 0.92532 0 155 0.76092 0.92532 21.6% - 0s
0 2 0.92532 0 149 0.76092 0.92532 21.6% - 0s
739 539 0.86058 16 166 0.76092 0.86058 13.1% 19.8 5s
1807 764 0.77465 46 125 0.76092 0.83760 10.1% 26.5 10s
3464 1219 0.77756 82 117 0.76092 0.82250 8.09% 27.8 15s
H 3882 1354 0.7609198 0.81982 7.74% 27.6 16s
4722 1470 0.78212 45 129 0.76092 0.81466 7.06% 28.2 20s
H 5641 1648 0.7609198 0.81062 6.53% 28.1 24s
5645 1627 0.76909 49 133 0.76092 0.81059 6.53% 28.1 25s
7023 1697 0.78529 33 151 0.76092 0.80577 5.89% 30.0 30s
8643 1875 cutoff 38 0.76092 0.80057 5.21% 30.6 35s
10293 1885 cutoff 36 0.76092 0.79489 4.46% 31.0 40s
11725 1865 0.77446 38 117 0.76092 0.79067 3.91% 31.5 45s
13144 1934 0.76933 49 119 0.76092 0.78843 3.62% 31.4 50s
14854 2147 0.77476 47 124 0.76092 0.78507 3.17% 30.8 55s
16731 2455 cutoff 143 0.76092 0.78347 2.96% 29.9 60s
18714 2844 0.78143 73 103 0.76092 0.78151 2.71% 28.8 65s
20193 3005 cutoff 91 0.76092 0.78025 2.54% 28.2 70s
21230 3287 0.76752 67 155 0.76092 0.77954 2.45% 27.7 90s
21241 3294 0.77310 41 209 0.76092 0.77954 2.45% 27.7 95s
21248 3299 0.76702 117 224 0.76092 0.77954 2.45% 27.7 100s
21253 3302 0.76893 124 231 0.76092 0.77954 2.45% 27.7 105s
21259 3306 0.76383 90 242 0.76092 0.77954 2.45% 27.7 110s
21263 3309 0.77704 81 243 0.76092 0.77954 2.45% 27.7 115s
21268 3312 0.77048 62 258 0.76092 0.77954 2.45% 27.6 120s
21273 3316 0.77697 45 271 0.76092 0.77954 2.45% 27.6 125s
21278 3319 0.76270 89 272 0.76092 0.77954 2.45% 27.6 130s
21283 3322 0.76769 80 268 0.76092 0.77954 2.45% 27.6 135s
21288 3326 0.76663 144 270 0.76092 0.77954 2.45% 27.6 140s
21293 3329 0.77773 73 266 0.76092 0.77954 2.45% 27.6 145s
21298 3332 0.76989 93 273 0.76092 0.77954 2.45% 27.6 150s
21301 3334 0.76420 81 280 0.76092 0.77954 2.45% 27.6 155s
21305 3337 0.76514 96 264 0.76092 0.77954 2.45% 27.6 161s
21309 3340 0.77144 72 256 0.76092 0.77954 2.45% 27.6 166s
21311 3341 0.77818 50 268 0.76092 0.77954 2.45% 27.6 170s
21315 3344 0.77852 83 263 0.76092 0.77954 2.45% 27.6 175s
21319 3346 0.77504 59 280 0.76092 0.77954 2.45% 27.6 180s
21324 3350 0.77830 31 282 0.76092 0.77954 2.45% 27.6 185s
21327 3352 0.76693 73 272 0.76092 0.77954 2.45% 27.6 190s
21331 3354 0.77267 48 276 0.76092 0.77954 2.45% 27.6 196s
21333 3356 0.77514 85 265 0.76092 0.77954 2.45% 27.6 200s
21337 3358 0.77898 50 263 0.76092 0.77954 2.45% 27.6 205s
21342 3362 0.77117 99 276 0.76092 0.77954 2.45% 27.6 210s
21346 3364 0.76761 81 279 0.76092 0.77954 2.45% 27.5 215s
21349 3366 0.77784 42 287 0.76092 0.77954 2.45% 27.5 220s
21354 3370 0.76143 60 278 0.76092 0.77954 2.45% 27.5 225s
21359 3373 0.76383 90 285 0.76092 0.77954 2.45% 27.5 231s
21362 3375 0.77194 94 296 0.76092 0.77954 2.45% 27.5 235s
21366 3378 0.77847 76 280 0.76092 0.77954 2.45% 27.5 240s
21371 3381 0.76531 77 290 0.76092 0.77954 2.45% 27.5 245s
21375 3384 0.77709 53 264 0.76092 0.77954 2.45% 27.5 251s
21379 3386 0.76468 76 268 0.76092 0.77954 2.45% 27.5 255s
21382 3388 0.77797 44 264 0.76092 0.77954 2.45% 27.5 261s
21386 3391 0.77758 53 256 0.76092 0.77954 2.45% 27.5 265s
21390 3394 0.77580 38 276 0.76092 0.77954 2.45% 27.5 270s
21395 3397 0.76221 134 271 0.76092 0.77954 2.45% 27.5 275s
21400 3400 0.77177 82 287 0.76092 0.77954 2.45% 27.5 280s
21404 3403 0.77195 44 287 0.76092 0.77954 2.45% 27.5 285s
21408 3406 0.76381 68 282 0.76092 0.77954 2.45% 27.5 290s
21412 3408 0.77312 41 280 0.76092 0.77954 2.45% 27.5 295s
21417 3412 0.77038 66 272 0.76092 0.77954 2.45% 27.5 300s
21421 3414 0.77119 56 278 0.76092 0.77954 2.45% 27.5 305s
21425 3417 0.77260 59 277 0.76092 0.77954 2.45% 27.4 310s
21429 3420 0.76230 108 271 0.76092 0.77954 2.45% 27.4 315s
21433 3422 0.77514 85 279 0.76092 0.77954 2.45% 27.4 320s
21437 3425 0.77898 50 272 0.76092 0.77954 2.45% 27.4 325s
21439 3426 infeasible 29 0.76092 0.77954 2.45% 29.4 332s
21441 3427 0.77954 30 271 0.76092 0.77954 2.45% 29.4 335s
21442 3428 0.77954 31 251 0.76092 0.77954 2.45% 29.4 343s
21444 3427 0.77954 32 260 0.76092 0.77954 2.45% 29.4 349s
21448 3428 0.77954 33 266 0.76092 0.77954 2.45% 29.4 350s
H21468 3263 0.7609198 0.77954 2.45% 29.5 354s
21485 3262 0.77954 39 248 0.76092 0.77954 2.45% 29.5 355s
21643 3298 0.77954 37 250 0.76092 0.77954 2.45% 30.0 360s
21920 3320 cutoff 39 0.76092 0.77954 2.45% 31.0 365s
22129 3324 0.77954 49 233 0.76092 0.77954 2.45% 32.0 370s
22496 3332 0.77147 52 210 0.76092 0.77954 2.45% 33.2 376s
22659 3319 0.76954 44 213 0.76092 0.77954 2.45% 33.9 380s
23010 3371 0.77954 45 234 0.76092 0.77954 2.45% 35.2 385s
23265 3385 0.77954 44 233 0.76092 0.77954 2.45% 36.3 390s
23517 3357 0.77207 49 209 0.76092 0.77954 2.45% 37.8 396s
23748 3323 0.77954 43 234 0.76092 0.77954 2.45% 39.0 401s
23897 3295 0.77439 43 221 0.76092 0.77954 2.45% 40.1 405s
24134 3253 cutoff 46 0.76092 0.77954 2.45% 41.7 410s
24261 3226 infeasible 54 0.76092 0.77954 2.45% 42.6 415s
24636 3218 0.77222 43 232 0.76092 0.77954 2.45% 44.3 422s
24812 3217 0.77191 43 234 0.76092 0.77954 2.45% 44.9 427s
24953 3201 0.77027 41 240 0.76092 0.77954 2.45% 45.6 430s
25217 3153 cutoff 43 0.76092 0.77954 2.45% 47.2 435s
25538 3131 0.77954 45 252 0.76092 0.77954 2.45% 48.4 441s
25740 3114 0.76768 43 215 0.76092 0.77954 2.45% 49.0 445s
26051 3083 0.76860 51 214 0.76092 0.77954 2.45% 50.4 451s
26202 3076 0.76590 44 231 0.76092 0.77954 2.45% 51.2 456s
26368 3078 cutoff 50 0.76092 0.77954 2.45% 51.7 460s
26662 3091 0.76743 47 217 0.76092 0.77954 2.45% 52.4 467s
26680 3071 0.76759 47 230 0.76092 0.77954 2.45% 52.5 471s
26937 3044 0.77273 41 258 0.76092 0.77954 2.45% 53.2 476s
27214 2992 0.77201 43 240 0.76092 0.77954 2.45% 54.1 480s
27516 2990 0.76911 47 216 0.76092 0.77954 2.45% 55.0 485s
27852 2948 cutoff 46 0.76092 0.77954 2.45% 55.8 490s
28147 2915 cutoff 48 0.76092 0.77954 2.45% 56.7 495s
28787 2873 0.76164 56 179 0.76092 0.77954 2.45% 58.1 504s
29010 2804 cutoff 54 0.76092 0.77954 2.45% 59.2 509s
29439 2725 cutoff 48 0.76092 0.77954 2.45% 60.1 514s
29884 2658 cutoff 57 0.76092 0.77954 2.45% 61.1 520s
30374 2596 cutoff 98 0.76092 0.77954 2.45% 61.9 527s
30776 2517 cutoff 44 0.76092 0.77954 2.45% 63.0 533s
31215 2443 cutoff 64 0.76092 0.77909 2.39% 64.1 539s
31545 2430 infeasible 40 0.76092 0.77898 2.37% 64.9 546s
32063 2540 cutoff 44 0.76092 0.77833 2.29% 66.0 552s
32499 2640 0.76283 72 169 0.76092 0.77767 2.20% 66.7 559s
33082 2800 cutoff 55 0.76092 0.77695 2.11% 67.4 565s
33653 2878 cutoff 44 0.76092 0.77637 2.03% 68.1 571s
34074 2914 0.76503 81 160 0.76092 0.77595 1.97% 68.9 577s
34565 2994 cutoff 88 0.76092 0.77534 1.90% 69.7 584s
34675 2923 0.77206 96 102 0.76092 0.77519 1.88% 70.0 590s
35212 3034 0.77495 67 197 0.76092 0.77501 1.85% 70.5 595s
35648 3104 0.77348 68 164 0.76092 0.77431 1.76% 70.8 600s
Cutting planes:
Gomory: 211
Cover: 7
Implied bound: 42
Projected implied bound: 60
MIR: 174
StrongCG: 4
Flow cover: 595
Inf proof: 108
Zero half: 1
Explored 36142 nodes (2568278 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.76092 0.76092 0.76092 0.76092
Time limit reached
Best objective 7.609198030369e-01, best bound 7.739638380411e-01, gap 1.7142%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9v1a0yia.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy6t22pfu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.751955
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 9.756191e-01, 1414 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97562 0 123 0.75196 0.97562 29.7% - 0s
0 0 0.91643 0 152 0.75196 0.91643 21.9% - 0s
0 0 0.91642 0 152 0.75196 0.91642 21.9% - 0s
0 0 0.91031 0 155 0.75196 0.91031 21.1% - 0s
0 0 0.90993 0 157 0.75196 0.90993 21.0% - 0s
0 0 0.90966 0 159 0.75196 0.90966 21.0% - 0s
0 0 0.90966 0 162 0.75196 0.90966 21.0% - 0s
0 0 0.90960 0 164 0.75196 0.90960 21.0% - 0s
0 0 0.90960 0 164 0.75196 0.90960 21.0% - 0s
0 0 0.90960 0 155 0.75196 0.90960 21.0% - 0s
0 2 0.90960 0 150 0.75196 0.90960 21.0% - 0s
750 425 0.84974 12 171 0.75196 0.84974 13.0% 23.1 5s
1577 578 0.76922 41 144 0.75196 0.84830 12.8% 33.1 10s
H 1649 558 0.7519551 0.84663 12.6% 32.8 10s
2735 878 0.81972 30 136 0.75196 0.82931 10.3% 34.2 15s
H 3669 1167 0.7519551 0.82065 9.14% 35.5 19s
3832 1189 0.79083 30 145 0.75196 0.81958 8.99% 36.2 20s
4959 1352 0.77858 31 137 0.75196 0.81240 8.04% 37.7 25s
6420 1532 infeasible 37 0.75196 0.80523 7.09% 37.7 30s
7676 1589 cutoff 34 0.75196 0.80074 6.49% 38.5 35s
9448 1739 0.77791 25 139 0.75196 0.79463 5.68% 38.2 40s
10595 1758 infeasible 43 0.75196 0.79094 5.18% 38.4 45s
12400 1910 infeasible 44 0.75196 0.78621 4.56% 38.1 50s
14098 2153 cutoff 39 0.75196 0.78418 4.29% 37.1 55s
15972 2450 0.77622 61 113 0.75196 0.78088 3.85% 35.8 60s
17489 2820 0.76620 61 113 0.75196 0.77920 3.62% 34.7 65s
19405 3170 cutoff 56 0.75196 0.77701 3.33% 33.5 70s
21373 3595 0.75643 121 155 0.75196 0.77550 3.13% 32.3 90s
21383 3602 0.76619 34 202 0.75196 0.77550 3.13% 32.3 96s
21388 3605 0.76307 63 215 0.75196 0.77550 3.13% 32.3 101s
21393 3608 0.77309 69 226 0.75196 0.77550 3.13% 32.3 105s
21397 3611 0.75294 47 247 0.75196 0.77550 3.13% 32.3 110s
21401 3614 0.77362 67 250 0.75196 0.77550 3.13% 32.3 116s
21403 3615 0.75830 80 257 0.75196 0.77550 3.13% 32.3 120s
21407 3618 0.76158 119 258 0.75196 0.77550 3.13% 32.3 125s
21412 3621 0.75733 70 276 0.75196 0.77550 3.13% 32.3 130s
21416 3624 0.75623 39 284 0.75196 0.77550 3.13% 32.2 135s
21421 3627 0.76218 64 273 0.75196 0.77550 3.13% 32.2 140s
21426 3630 0.75828 47 260 0.75196 0.77550 3.13% 32.2 145s
21430 3633 0.76822 38 264 0.75196 0.77550 3.13% 32.2 151s
21434 3636 0.75621 52 272 0.75196 0.77550 3.13% 32.2 155s
21438 3638 0.77404 31 275 0.75196 0.77550 3.13% 32.2 160s
21444 3642 0.75377 37 281 0.75196 0.77550 3.13% 32.2 165s
21448 3645 0.76218 64 278 0.75196 0.77550 3.13% 32.2 170s
21452 3648 0.76954 49 266 0.75196 0.77550 3.13% 32.2 176s
21455 3650 0.77420 65 273 0.75196 0.77550 3.13% 32.2 180s
21460 3653 0.76723 86 276 0.75196 0.77550 3.13% 32.2 186s
21463 3655 0.77421 59 275 0.75196 0.77550 3.13% 32.2 190s
21466 3657 0.77088 44 264 0.75196 0.77550 3.13% 32.2 195s
21470 3660 0.77299 62 276 0.75196 0.77550 3.13% 32.2 200s
21474 3662 0.75394 132 290 0.75196 0.77550 3.13% 32.2 205s
21479 3666 0.76623 45 292 0.75196 0.77550 3.13% 32.2 210s
21483 3668 0.76619 34 288 0.75196 0.77550 3.13% 32.1 215s
21486 3670 0.76212 57 296 0.75196 0.77550 3.13% 32.1 220s
21490 3673 0.75466 35 293 0.75196 0.77550 3.13% 32.1 225s
21495 3676 0.75369 76 294 0.75196 0.77550 3.13% 32.1 230s
21498 3678 0.76678 49 291 0.75196 0.77550 3.13% 32.1 235s
21503 3682 0.75830 80 281 0.75196 0.77550 3.13% 32.1 240s
21507 3684 0.76158 119 263 0.75196 0.77550 3.13% 32.1 245s
21512 3688 0.75733 70 281 0.75196 0.77550 3.13% 32.1 250s
21517 3691 0.75658 46 272 0.75196 0.77550 3.13% 32.1 256s
21521 3694 0.76218 64 278 0.75196 0.77550 3.13% 32.1 260s
21524 3696 0.77275 32 281 0.75196 0.77550 3.13% 32.1 265s
21529 3699 0.77193 34 283 0.75196 0.77550 3.13% 32.1 271s
21531 3700 0.76986 37 278 0.75196 0.77550 3.13% 32.1 276s
21534 3702 0.75621 52 287 0.75196 0.77550 3.13% 32.1 280s
21538 3705 0.77404 31 282 0.75196 0.77550 3.13% 32.1 285s
21543 3708 0.77132 65 289 0.75196 0.77550 3.13% 32.1 290s
21547 3711 0.76060 69 289 0.75196 0.77550 3.13% 32.1 295s
21553 3715 0.77257 38 284 0.75196 0.77550 3.13% 32.0 301s
21556 3717 0.75638 54 300 0.75196 0.77550 3.13% 32.0 305s
21561 3720 0.77359 64 291 0.75196 0.77550 3.13% 32.0 310s
21565 3723 0.77311 65 295 0.75196 0.77550 3.13% 32.0 316s
21569 3726 0.75762 40 291 0.75196 0.77550 3.13% 32.0 321s
21573 3728 0.75643 121 298 0.75196 0.77550 3.13% 32.0 325s
21576 3730 0.76490 46 297 0.75196 0.77550 3.13% 32.0 331s
21577 3733 0.77550 21 277 0.75196 0.77550 3.13% 33.8 339s
21579 3735 0.77550 22 270 0.75196 0.77550 3.13% 33.8 346s
21582 3736 0.77550 23 286 0.75196 0.77550 3.13% 33.8 354s
21586 3735 infeasible 24 0.75196 0.77550 3.13% 33.8 356s
21603 3735 0.77390 27 269 0.75196 0.77550 3.13% 34.1 360s
21676 3728 0.76472 34 241 0.75196 0.77550 3.13% 34.6 365s
21847 3756 0.77550 31 260 0.75196 0.77550 3.13% 35.4 370s
22077 3789 0.77354 32 233 0.75196 0.77550 3.13% 36.2 375s
22382 3840 cutoff 33 0.75196 0.77550 3.13% 37.2 380s
H22433 3648 0.7519551 0.77550 3.13% 37.5 382s
22531 3617 0.77550 30 280 0.75196 0.77550 3.13% 38.0 385s
22747 3582 0.76140 35 225 0.75196 0.77550 3.13% 39.4 390s
22966 3547 cutoff 40 0.75196 0.77550 3.13% 40.5 395s
23227 3587 0.76395 63 168 0.75196 0.77550 3.13% 41.6 401s
23454 3648 cutoff 48 0.75196 0.77550 3.13% 42.1 405s
23645 3659 0.75545 58 194 0.75196 0.77550 3.13% 42.9 410s
24023 3726 0.76465 68 180 0.75196 0.77469 3.02% 43.8 416s
24412 3806 0.75341 110 94 0.75196 0.77404 2.94% 44.3 420s
24832 3891 0.76117 53 198 0.75196 0.77366 2.89% 44.8 425s
25403 3973 cutoff 37 0.75196 0.77331 2.84% 45.9 431s
25886 4037 0.76398 57 187 0.75196 0.77305 2.81% 46.6 437s
26051 4042 0.76259 63 180 0.75196 0.77274 2.76% 47.2 440s
26414 4043 0.77022 65 155 0.75196 0.77232 2.71% 47.9 446s
26810 4132 0.76435 50 208 0.75196 0.77223 2.70% 48.1 451s
26831 4118 0.76402 51 188 0.75196 0.77218 2.69% 48.2 455s
27689 4229 cutoff 55 0.75196 0.77178 2.64% 48.5 461s
28182 4295 cutoff 51 0.75196 0.77168 2.62% 48.7 465s
28887 4327 0.76994 47 226 0.75196 0.77138 2.58% 49.3 472s
29308 4415 0.76842 65 169 0.75196 0.77125 2.57% 49.6 475s
29629 4433 0.76324 49 197 0.75196 0.77113 2.55% 50.0 480s
30666 4490 0.75623 59 163 0.75196 0.77093 2.52% 50.4 487s
31033 4514 0.76133 74 109 0.75196 0.77069 2.49% 50.5 492s
31616 4595 cutoff 69 0.75196 0.77055 2.47% 50.6 496s
32026 4599 cutoff 53 0.75196 0.77048 2.46% 51.1 501s
32445 4708 0.76145 65 181 0.75196 0.77038 2.45% 51.6 505s
32801 4780 cutoff 109 0.75196 0.77028 2.44% 52.2 510s
33326 4950 0.76472 56 180 0.75196 0.77012 2.42% 52.5 515s
34160 5162 0.76025 49 206 0.75196 0.76991 2.39% 53.4 523s
34703 5368 0.75768 44 208 0.75196 0.76978 2.37% 53.7 528s
35172 5551 0.76478 43 209 0.75196 0.76952 2.34% 54.1 532s
35529 5684 0.76323 71 162 0.75196 0.76939 2.32% 54.5 537s
35628 5684 0.76157 38 220 0.75196 0.76937 2.32% 54.7 542s
35984 5799 0.75284 76 144 0.75196 0.76929 2.31% 55.1 547s
36548 5997 0.75644 103 105 0.75196 0.76922 2.30% 55.2 551s
36954 6091 cutoff 80 0.75196 0.76915 2.29% 55.6 556s
37578 6286 0.76847 47 224 0.75196 0.76899 2.27% 55.6 560s
38008 6430 cutoff 48 0.75196 0.76887 2.25% 55.9 565s
38316 6504 0.75306 61 174 0.75196 0.76883 2.24% 56.5 570s
39119 6728 0.75963 50 208 0.75196 0.76862 2.22% 57.2 578s
39474 6787 0.76225 45 210 0.75196 0.76851 2.20% 57.6 582s
39790 6835 0.76664 48 207 0.75196 0.76846 2.19% 58.1 588s
40065 6883 0.76520 81 158 0.75196 0.76839 2.19% 58.4 592s
40417 6944 cutoff 89 0.75196 0.76835 2.18% 58.8 597s
40798 7037 0.76554 49 222 0.75196 0.76828 2.17% 59.3 600s
Cutting planes:
Gomory: 232
Cover: 3
Implied bound: 35
Projected implied bound: 50
Clique: 1
MIR: 213
StrongCG: 7
Flow cover: 670
Inf proof: 98
Explored 40992 nodes (2441841 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.751955 0.751955 0.751955 0.751955
Time limit reached
Best objective 7.519551123774e-01, best bound 7.682841034832e-01, gap 2.1715%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy00cdzsw.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnes48kxj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.741582
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 9.628240e-01, 1403 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96282 0 127 0.74158 0.96282 29.8% - 0s
0 0 0.91673 0 154 0.74158 0.91673 23.6% - 0s
0 0 0.91672 0 153 0.74158 0.91672 23.6% - 0s
0 0 0.90490 0 161 0.74158 0.90490 22.0% - 0s
0 0 0.90486 0 162 0.74158 0.90486 22.0% - 0s
0 0 0.90480 0 171 0.74158 0.90480 22.0% - 0s
0 0 0.90474 0 176 0.74158 0.90474 22.0% - 0s
0 0 0.90470 0 175 0.74158 0.90470 22.0% - 0s
0 0 0.90470 0 165 0.74158 0.90470 22.0% - 0s
0 2 0.90470 0 165 0.74158 0.90470 22.0% - 0s
763 523 0.84712 13 171 0.74158 0.84712 14.2% 19.6 6s
1176 589 0.76980 75 115 0.74158 0.84712 14.2% 29.5 10s
2654 882 0.74891 35 144 0.74158 0.82076 10.7% 29.2 15s
3615 1173 0.76250 42 154 0.74158 0.80718 8.85% 29.8 20s
5277 1592 0.75541 28 155 0.74158 0.79504 7.21% 31.0 25s
6735 1962 0.76015 30 153 0.74158 0.78801 6.26% 31.6 30s
8046 2201 infeasible 28 0.74158 0.78365 5.67% 32.0 35s
9421 2355 0.75790 32 154 0.74158 0.77945 5.11% 32.5 40s
10910 2476 cutoff 55 0.74158 0.77463 4.46% 33.1 45s
12529 2999 cutoff 40 0.74158 0.77225 4.13% 31.8 50s
14003 3301 0.75918 48 137 0.74158 0.77012 3.85% 31.1 55s
16012 3921 0.75461 60 139 0.74158 0.76858 3.64% 30.0 60s
17560 4309 infeasible 57 0.74158 0.76768 3.52% 29.4 65s
19656 4862 0.75159 52 133 0.74158 0.76665 3.38% 28.5 70s
21317 5181 0.75025 44 138 0.74158 0.76555 3.23% 28.3 92s
22427 5458 0.75913 68 119 0.74158 0.76493 3.15% 28.4 95s
23789 5702 0.76321 66 133 0.74158 0.76430 3.06% 28.5 100s
25036 5898 0.75048 57 135 0.74158 0.76367 2.98% 29.0 105s
26400 6143 0.74771 70 126 0.74158 0.76304 2.89% 29.3 110s
27859 6392 0.75877 59 141 0.74158 0.76256 2.83% 29.4 115s
29228 6578 cutoff 76 0.74158 0.76202 2.76% 29.7 120s
30821 6873 cutoff 73 0.74158 0.76151 2.69% 29.8 125s
32164 7126 0.75589 75 106 0.74158 0.76114 2.64% 29.8 130s
33995 7570 infeasible 42 0.74158 0.76081 2.59% 29.6 135s
35362 7914 0.75515 98 107 0.74158 0.76038 2.54% 29.5 140s
36650 8133 0.75326 79 103 0.74158 0.76016 2.50% 29.4 145s
38426 8422 infeasible 79 0.74158 0.75974 2.45% 29.4 150s
40281 8817 infeasible 73 0.74158 0.75923 2.38% 29.3 155s
42123 9180 cutoff 60 0.74158 0.75889 2.33% 29.0 161s
43676 9390 0.75449 81 85 0.74158 0.75850 2.28% 29.1 165s
45539 9731 0.75664 100 93 0.74158 0.75813 2.23% 29.0 171s
47484 10092 0.74817 60 132 0.74158 0.75779 2.19% 28.9 175s
49415 10474 0.74578 52 149 0.74158 0.75748 2.14% 28.7 180s
50651 10579 0.75205 76 81 0.74158 0.75725 2.11% 28.7 185s
52423 10741 0.75662 68 118 0.74158 0.75694 2.07% 28.7 190s
54318 10966 0.75277 104 92 0.74158 0.75660 2.02% 28.6 195s
56187 11252 infeasible 86 0.74158 0.75624 1.98% 28.5 200s
58066 11452 0.74195 50 138 0.74158 0.75596 1.94% 28.5 205s
59103 11666 0.74600 84 112 0.74158 0.75585 1.92% 28.4 210s
61017 11917 0.75104 77 103 0.74158 0.75560 1.89% 28.3 215s
62458 12193 0.75405 110 99 0.74158 0.75540 1.86% 28.2 220s
64380 12471 0.75370 100 96 0.74158 0.75514 1.83% 28.0 225s
66527 12696 0.74738 108 89 0.74158 0.75485 1.79% 28.0 231s
67936 12843 0.75241 76 122 0.74158 0.75469 1.77% 27.9 235s
69892 13168 0.75254 90 91 0.74158 0.75445 1.74% 27.8 240s
72081 13575 0.74202 77 140 0.74158 0.75428 1.71% 27.5 245s
H73023 13712 0.7415822 0.75415 1.69% 27.5 248s
73171 13727 0.74941 100 81 0.74158 0.75414 1.69% 27.5 250s
74902 13989 0.75305 60 145 0.74158 0.75397 1.67% 27.3 255s
76786 14187 0.75320 74 142 0.74158 0.75377 1.64% 27.2 260s
78627 14394 0.75169 68 118 0.74158 0.75357 1.62% 27.1 265s
80151 14492 0.74907 117 64 0.74158 0.75333 1.58% 27.1 271s
81312 14662 0.74625 67 134 0.74158 0.75327 1.58% 27.0 275s
83486 14931 0.74559 70 128 0.74158 0.75302 1.54% 26.9 280s
85678 15302 0.75016 105 101 0.74158 0.75282 1.52% 26.7 285s
87921 15663 cutoff 130 0.74158 0.75260 1.49% 26.5 290s
90679 16169 cutoff 43 0.74158 0.75242 1.46% 26.2 295s
92425 16255 0.75112 85 103 0.74158 0.75225 1.44% 26.2 300s
*93082 16261 172 0.7417428 0.75220 1.41% 26.1 301s
94779 16657 0.74814 113 80 0.74174 0.75207 1.39% 25.9 305s
96129 16780 0.75004 77 127 0.74174 0.75197 1.38% 25.9 310s
98508 17167 cutoff 76 0.74174 0.75180 1.36% 25.7 315s
100444 17453 cutoff 82 0.74174 0.75166 1.34% 25.6 320s
103021 17791 cutoff 60 0.74174 0.75149 1.31% 25.4 325s
105031 18173 0.74503 53 146 0.74174 0.75137 1.30% 25.3 330s
107641 18424 cutoff 91 0.74174 0.75117 1.27% 25.1 335s
110348 19005 cutoff 68 0.74174 0.75101 1.25% 24.9 340s
113056 19441 0.75005 76 106 0.74174 0.75086 1.23% 24.7 345s
115395 19718 cutoff 114 0.74174 0.75069 1.21% 24.6 350s
117735 19965 infeasible 125 0.74174 0.75052 1.18% 24.5 355s
119830 20149 cutoff 125 0.74174 0.75037 1.16% 24.4 360s
122471 20526 0.74229 127 55 0.74174 0.75022 1.14% 24.2 365s
124765 20856 0.74439 75 133 0.74174 0.75010 1.13% 24.1 370s
127175 21204 0.74352 132 62 0.74174 0.75000 1.11% 24.0 375s
129189 21450 0.74909 61 119 0.74174 0.74989 1.10% 23.9 380s
131523 21683 cutoff 88 0.74174 0.74976 1.08% 23.8 385s
133579 21798 0.74575 100 109 0.74174 0.74964 1.06% 23.8 390s
136092 22022 infeasible 81 0.74174 0.74950 1.05% 23.7 395s
138830 22383 0.74200 121 63 0.74174 0.74938 1.03% 23.5 400s
140318 22589 infeasible 117 0.74174 0.74930 1.02% 23.4 405s
H140506 22631 0.7417428 0.74930 1.02% 23.4 405s
142325 22695 cutoff 90 0.74174 0.74918 1.00% 23.3 410s
Cutting planes:
Gomory: 143
Cover: 3
Implied bound: 87
Projected implied bound: 57
MIR: 27
Flow cover: 155
Inf proof: 457
Explored 143306 nodes (3341827 simplex iterations) in 411.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.741743 0.741743 0.741582 0.741582
Optimal solution found (tolerance 1.00e-02)
Best objective 7.417427564417e-01, best bound 7.491361191158e-01, gap 0.9968%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw6rcyuqo.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc85ooevj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732046
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 9.486301e-01, 1389 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94863 0 128 0.73205 0.94863 29.6% - 0s
0 0 0.90294 0 158 0.73205 0.90294 23.3% - 0s
0 0 0.90294 0 158 0.73205 0.90294 23.3% - 0s
0 0 0.89260 0 164 0.73205 0.89260 21.9% - 0s
0 0 0.89255 0 163 0.73205 0.89255 21.9% - 0s
0 0 0.89227 0 174 0.73205 0.89227 21.9% - 0s
0 0 0.89225 0 176 0.73205 0.89225 21.9% - 0s
0 0 0.89217 0 178 0.73205 0.89217 21.9% - 0s
0 0 0.89217 0 178 0.73205 0.89217 21.9% - 0s
0 0 0.89217 0 163 0.73205 0.89217 21.9% - 0s
0 2 0.89217 0 163 0.73205 0.89217 21.9% - 0s
785 503 0.82348 10 165 0.73205 0.82348 12.5% 23.5 5s
1822 671 0.78173 28 146 0.73205 0.82348 12.5% 29.0 10s
3715 1166 0.77225 36 125 0.73205 0.80388 9.81% 29.4 15s
4877 1330 0.74510 32 130 0.73205 0.79214 8.21% 30.1 20s
6533 1540 0.75826 36 123 0.73205 0.78269 6.92% 29.8 25s
8559 1715 0.76755 32 136 0.73205 0.77546 5.93% 29.3 30s
10954 1962 0.74726 73 100 0.73205 0.76900 5.05% 28.3 35s
13169 2265 cutoff 33 0.73205 0.76487 4.48% 27.3 40s
14980 2566 0.75761 44 133 0.73205 0.76209 4.10% 26.3 45s
18449 3219 cutoff 47 0.73205 0.75803 3.55% 24.5 50s
20794 3727 0.74485 90 110 0.73205 0.75661 3.36% 23.5 72s
22083 4031 0.73641 88 115 0.73205 0.75588 3.26% 23.4 75s
23997 4306 0.73262 83 126 0.73205 0.75458 3.08% 23.8 80s
26011 4566 0.73992 37 156 0.73205 0.75330 2.90% 24.3 85s
28261 4944 infeasible 40 0.73205 0.75220 2.75% 24.3 90s
31619 5775 infeasible 51 0.73205 0.75118 2.61% 23.8 95s
34079 6198 cutoff 32 0.73205 0.75047 2.52% 23.6 100s
36846 6881 0.74801 41 154 0.73205 0.74983 2.43% 23.2 105s
39414 7513 cutoff 44 0.73205 0.74925 2.35% 22.8 110s
41802 7955 infeasible 42 0.73205 0.74874 2.28% 22.7 115s
45119 8573 0.74769 56 129 0.73205 0.74814 2.20% 22.2 120s
48010 9029 0.73989 56 131 0.73205 0.74755 2.12% 22.0 125s
51142 9658 infeasible 83 0.73205 0.74689 2.03% 21.7 130s
53741 9801 cutoff 114 0.73205 0.74637 1.96% 21.6 135s
56980 10267 cutoff 81 0.73205 0.74579 1.88% 21.2 140s
59247 10438 infeasible 107 0.73205 0.74528 1.81% 21.1 146s
H59248 10438 0.7320462 0.74528 1.81% 21.1 146s
60610 10584 0.74257 79 112 0.73205 0.74503 1.77% 21.0 150s
63873 11155 cutoff 97 0.73205 0.74456 1.71% 20.7 155s
65919 11636 0.73496 121 74 0.73205 0.74433 1.68% 20.5 160s
69736 12552 infeasible 121 0.73205 0.74386 1.61% 20.0 165s
73895 13398 infeasible 127 0.73205 0.74347 1.56% 19.6 170s
77436 14081 0.74222 108 85 0.73205 0.74311 1.51% 19.2 175s
81146 14625 0.73706 89 109 0.73205 0.74276 1.46% 18.9 180s
85459 15580 cutoff 129 0.73205 0.74248 1.43% 18.4 185s
89345 16194 0.74048 122 95 0.73205 0.74220 1.39% 18.1 190s
92268 16647 0.74198 118 71 0.73205 0.74198 1.36% 17.9 195s
96228 17356 cutoff 121 0.73205 0.74171 1.32% 17.6 200s
99957 17889 0.73212 129 59 0.73205 0.74145 1.28% 17.4 205s
103875 18517 0.74032 79 114 0.73205 0.74122 1.25% 17.2 210s
107508 19001 0.73860 124 67 0.73205 0.74101 1.22% 17.0 215s
111164 19526 0.73885 109 79 0.73205 0.74081 1.20% 16.8 220s
115068 20015 0.73518 129 65 0.73205 0.74059 1.17% 16.6 225s
118883 20295 0.73557 78 114 0.73205 0.74039 1.14% 16.4 230s
122809 20808 0.73880 125 76 0.73205 0.74018 1.11% 16.2 235s
126423 21020 cutoff 123 0.73205 0.73998 1.08% 16.1 240s
H127272 21100 0.7320462 0.73992 1.08% 16.0 242s
128259 21133 0.73549 125 84 0.73205 0.73989 1.07% 16.0 245s
132262 21636 0.73312 171 38 0.73205 0.73973 1.05% 15.8 250s
135495 21736 cutoff 122 0.73205 0.73956 1.03% 15.7 255s
Cutting planes:
Gomory: 90
Implied bound: 19
Projected implied bound: 51
MIR: 29
Flow cover: 131
Inf proof: 29
Explored 139068 nodes (2166579 simplex iterations) in 259.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.732046 0.732046 0.732046
Optimal solution found (tolerance 1.00e-02)
Best objective 7.320462103375e-01, best bound 7.393578633106e-01, gap 0.9988%
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0yfxwn5f.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnh1n2oba.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.721802
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 9.326023e-01, 1424 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93260 0 129 0.72180 0.93260 29.2% - 0s
0 0 0.88094 0 155 0.72180 0.88094 22.0% - 0s
0 0 0.88082 0 156 0.72180 0.88082 22.0% - 0s
0 0 0.87636 0 146 0.72180 0.87636 21.4% - 0s
0 0 0.87601 0 148 0.72180 0.87601 21.4% - 0s
0 0 0.87595 0 162 0.72180 0.87595 21.4% - 0s
0 0 0.87593 0 164 0.72180 0.87593 21.4% - 0s
0 0 0.87584 0 166 0.72180 0.87584 21.3% - 0s
0 0 0.87581 0 167 0.72180 0.87581 21.3% - 0s
0 0 0.87581 0 169 0.72180 0.87581 21.3% - 0s
0 0 0.87581 0 157 0.72180 0.87581 21.3% - 0s
0 2 0.87581 0 155 0.72180 0.87581 21.3% - 0s
774 449 0.80949 12 169 0.72180 0.80949 12.1% 21.9 5s
1575 602 0.73760 32 130 0.72180 0.80778 11.9% 24.5 10s
3250 912 cutoff 41 0.72180 0.78121 8.23% 23.7 15s
4892 1236 cutoff 62 0.72180 0.76781 6.37% 21.9 20s
7924 1887 cutoff 37 0.72180 0.75995 5.29% 20.0 25s
10877 2506 0.73988 95 105 0.72180 0.75533 4.64% 19.2 30s
13317 3114 0.74687 71 114 0.72180 0.75226 4.22% 18.7 35s
16727 4107 0.74797 70 117 0.72180 0.74919 3.80% 17.7 40s
19813 5020 cutoff 85 0.72180 0.74756 3.57% 17.2 45s
20443 5112 0.73960 85 111 0.72180 0.74689 3.48% 17.2 65s
22459 5565 0.74425 65 127 0.72180 0.74573 3.31% 17.5 70s
24438 5918 0.72912 85 122 0.72180 0.74451 3.15% 18.0 75s
26609 6414 infeasible 78 0.72180 0.74376 3.04% 18.2 80s
29103 6943 0.73495 115 113 0.72180 0.74277 2.90% 18.3 85s
31716 7605 0.73873 75 113 0.72180 0.74219 2.82% 18.3 90s
34129 8123 0.73136 88 113 0.72180 0.74171 2.76% 18.4 95s
35598 8427 0.73310 51 134 0.72180 0.74139 2.71% 18.4 100s
37692 8740 0.72788 77 105 0.72180 0.74097 2.66% 18.5 105s
40501 9271 cutoff 90 0.72180 0.74040 2.58% 18.6 110s
42329 9490 infeasible 56 0.72180 0.74010 2.54% 18.8 115s
44811 9848 cutoff 114 0.72180 0.73974 2.49% 18.8 120s
47305 10201 0.73163 109 99 0.72180 0.73922 2.41% 18.8 125s
49375 10452 0.73693 86 106 0.72180 0.73893 2.37% 18.8 130s
51446 10738 0.72823 82 113 0.72180 0.73862 2.33% 18.9 135s
53536 10896 cutoff 59 0.72180 0.73829 2.28% 18.8 140s
55817 10973 cutoff 88 0.72180 0.73791 2.23% 18.9 145s
58123 11280 cutoff 105 0.72180 0.73760 2.19% 18.9 150s
60562 11477 0.72451 120 72 0.72180 0.73727 2.14% 18.9 155s
62191 11657 0.72429 98 116 0.72180 0.73704 2.11% 18.9 160s
63909 11823 0.73048 130 80 0.72180 0.73680 2.08% 18.9 165s
65891 11934 0.72560 106 114 0.72180 0.73647 2.03% 18.9 170s
68574 12243 0.72626 84 134 0.72180 0.73611 1.98% 18.8 175s
70693 12334 0.72712 102 93 0.72180 0.73575 1.93% 18.8 180s
73308 12804 0.72183 168 40 0.72180 0.73547 1.89% 18.7 185s
76168 13273 0.73428 84 122 0.72180 0.73515 1.85% 18.6 190s
78670 13659 0.73081 117 87 0.72180 0.73483 1.80% 18.4 195s
81315 13940 0.73149 98 116 0.72180 0.73454 1.76% 18.4 200s
83843 14125 cutoff 91 0.72180 0.73423 1.72% 18.3 205s
86102 14316 infeasible 125 0.72180 0.73395 1.68% 18.3 210s
88749 14627 0.72923 84 105 0.72180 0.73368 1.65% 18.2 215s
91899 15250 infeasible 132 0.72180 0.73339 1.61% 18.0 220s
93317 15506 cutoff 88 0.72180 0.73326 1.59% 17.9 225s
94961 15547 cutoff 89 0.72180 0.73308 1.56% 17.9 230s
97615 15951 cutoff 86 0.72180 0.73284 1.53% 17.8 235s
101420 16780 0.73134 101 97 0.72180 0.73262 1.50% 17.6 240s
104482 17370 0.72983 94 112 0.72180 0.73240 1.47% 17.4 245s
107223 17871 cutoff 74 0.72180 0.73223 1.44% 17.3 250s
110991 18613 0.73188 136 84 0.72180 0.73197 1.41% 17.1 255s
113184 18907 0.72888 111 89 0.72180 0.73186 1.39% 17.1 260s
115661 19139 0.73065 139 76 0.72180 0.73165 1.36% 17.0 265s
119247 19767 0.72916 96 107 0.72180 0.73146 1.34% 16.8 270s
122157 20139 0.72737 81 102 0.72180 0.73130 1.32% 16.7 275s
125501 20611 0.72368 85 113 0.72180 0.73111 1.29% 16.6 280s
128602 20961 0.72790 105 102 0.72180 0.73092 1.26% 16.5 285s
130649 21231 0.72786 114 86 0.72180 0.73081 1.25% 16.4 290s
134567 22147 0.72637 86 114 0.72180 0.73061 1.22% 16.2 295s
138667 23188 0.72900 143 66 0.72180 0.73046 1.20% 16.0 300s
142047 23880 0.72306 100 92 0.72180 0.73036 1.19% 15.8 305s
145708 24489 0.72534 120 70 0.72180 0.73019 1.16% 15.7 310s
148980 24997 infeasible 142 0.72180 0.73004 1.14% 15.6 315s
152453 25401 cutoff 98 0.72180 0.72988 1.12% 15.5 320s
155851 25680 0.72925 120 68 0.72180 0.72974 1.10% 15.4 325s
159850 26498 cutoff 166 0.72180 0.72963 1.08% 15.2 330s
163354 26702 0.72225 170 27 0.72180 0.72947 1.06% 15.1 335s
166772 26848 0.72746 157 57 0.72180 0.72934 1.04% 15.0 340s
169952 27018 cutoff 114 0.72180 0.72921 1.03% 14.9 345s
172258 27204 0.72664 51 156 0.72180 0.72914 1.02% 14.8 350s
Cutting planes:
Gomory: 103
Implied bound: 20
Projected implied bound: 17
Clique: 1
MIR: 27
Flow cover: 109
Inf proof: 16
Explored 175614 nodes (2590244 simplex iterations) in 354.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.721802
Optimal solution found (tolerance 1.00e-02)
Best objective 7.218018325894e-01, best bound 7.289988879393e-01, gap 0.9971%
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ue05xow.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq4tv5_cz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714105
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 9.232424e-01, 1424 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92324 0 135 0.71410 0.92324 29.3% - 0s
0 0 0.85102 0 169 0.71410 0.85102 19.2% - 0s
0 0 0.85101 0 169 0.71410 0.85101 19.2% - 0s
0 0 0.84130 0 179 0.71410 0.84130 17.8% - 0s
0 0 0.84101 0 177 0.71410 0.84101 17.8% - 0s
0 0 0.84091 0 176 0.71410 0.84091 17.8% - 0s
0 0 0.84091 0 169 0.71410 0.84091 17.8% - 0s
0 2 0.84091 0 165 0.71410 0.84091 17.8% - 0s
760 523 0.80729 12 160 0.71410 0.80729 13.0% 20.0 5s
1649 590 0.76349 30 144 0.71410 0.79399 11.2% 33.2 10s
3272 1174 cutoff 42 0.71410 0.77819 8.97% 29.9 15s
4776 1555 0.74367 31 145 0.71410 0.77015 7.85% 30.8 20s
5952 1779 0.72808 36 142 0.71410 0.76444 7.05% 31.3 25s
7507 2078 cutoff 32 0.71410 0.76002 6.43% 31.7 30s
8906 2250 0.71535 59 124 0.71410 0.75622 5.90% 32.7 35s
9983 2268 0.72603 34 163 0.71410 0.75373 5.55% 33.5 40s
11582 2404 cutoff 55 0.71410 0.75068 5.12% 33.8 45s
H12785 2504 0.7141046 0.74731 4.65% 34.1 49s
12786 2474 cutoff 42 0.71410 0.74729 4.65% 34.1 51s
13651 2587 infeasible 36 0.71410 0.74620 4.49% 34.0 56s
14935 2777 0.72842 36 154 0.71410 0.74499 4.33% 33.7 60s
16621 3141 0.73610 61 125 0.71410 0.74247 3.97% 33.1 65s
18192 3536 0.73129 36 163 0.71410 0.74085 3.75% 32.3 70s
20207 3952 cutoff 39 0.71410 0.73889 3.47% 32.0 75s
21959 4078 0.73603 72 105 0.71410 0.73710 3.22% 32.1 97s
22855 4216 cutoff 79 0.71410 0.73663 3.15% 32.1 100s
25166 4910 cutoff 53 0.71410 0.73551 3.00% 31.2 105s
27226 5446 0.73356 98 112 0.71410 0.73482 2.90% 30.6 110s
29703 6236 0.71746 91 116 0.71410 0.73399 2.79% 30.0 115s
31985 6931 0.73300 70 114 0.71410 0.73351 2.72% 29.3 120s
34223 7532 0.72838 68 114 0.71410 0.73280 2.62% 29.0 125s
36953 8491 cutoff 86 0.71410 0.73227 2.54% 28.3 130s
39078 9156 0.71940 113 78 0.71410 0.73188 2.49% 27.9 135s
42125 10269 0.72037 104 92 0.71410 0.73150 2.44% 27.2 140s
44421 11047 0.71499 136 78 0.71410 0.73124 2.40% 26.9 145s
46234 11472 0.72340 101 85 0.71410 0.73090 2.35% 26.8 150s
48655 12044 cutoff 67 0.71410 0.73059 2.31% 26.7 155s
51022 12778 cutoff 50 0.71410 0.73032 2.27% 26.4 160s
53366 13685 0.72127 85 90 0.71410 0.73011 2.24% 26.0 165s
56143 14470 0.72269 114 92 0.71410 0.72986 2.21% 25.7 170s
58500 15026 infeasible 104 0.71410 0.72960 2.17% 25.5 175s
60757 15615 0.72229 105 110 0.71410 0.72938 2.14% 25.3 180s
62761 16079 0.72766 83 100 0.71410 0.72922 2.12% 25.2 185s
63450 16165 0.72443 65 128 0.71410 0.72914 2.11% 25.2 190s
65557 16659 0.72427 87 99 0.71410 0.72898 2.08% 25.1 195s
67922 17321 0.71422 88 116 0.71410 0.72883 2.06% 24.9 200s
70362 17928 cutoff 89 0.71410 0.72865 2.04% 24.8 205s
72593 18603 0.71971 97 97 0.71410 0.72853 2.02% 24.6 210s
74934 19143 cutoff 109 0.71410 0.72838 2.00% 24.4 215s
77114 19590 0.71691 106 107 0.71410 0.72827 1.98% 24.3 220s
79435 20003 0.72100 87 98 0.71410 0.72811 1.96% 24.3 225s
81496 20348 0.71810 102 104 0.71410 0.72797 1.94% 24.3 230s
83144 20516 infeasible 77 0.71410 0.72784 1.92% 24.3 235s
85545 20911 cutoff 94 0.71410 0.72771 1.91% 24.2 240s
87153 21081 0.72650 97 107 0.71410 0.72757 1.89% 24.2 245s
89823 21654 0.72051 44 148 0.71410 0.72741 1.86% 24.1 250s
92029 21854 0.71720 95 107 0.71410 0.72726 1.84% 24.0 255s
93791 22071 cutoff 94 0.71410 0.72713 1.82% 24.0 260s
96428 22491 0.71814 89 106 0.71410 0.72702 1.81% 23.9 265s
98131 22703 0.72350 111 95 0.71410 0.72693 1.80% 23.9 270s
100312 23102 infeasible 105 0.71410 0.72684 1.78% 23.8 275s
102564 23369 0.71563 128 71 0.71410 0.72673 1.77% 23.7 280s
104339 23620 0.72468 98 102 0.71410 0.72666 1.76% 23.7 285s
106399 23887 0.72133 86 114 0.71410 0.72656 1.74% 23.7 290s
108347 24093 0.71608 152 38 0.71410 0.72645 1.73% 23.6 295s
110200 24358 0.71683 111 99 0.71410 0.72636 1.72% 23.6 300s
112426 24634 cutoff 109 0.71410 0.72623 1.70% 23.6 305s
114555 25000 cutoff 83 0.71410 0.72614 1.69% 23.6 310s
116646 25352 0.71653 65 140 0.71410 0.72605 1.67% 23.5 317s
117667 25452 0.72217 113 96 0.71410 0.72601 1.67% 23.5 320s
119878 25882 0.71697 109 97 0.71410 0.72592 1.65% 23.4 325s
122007 26349 infeasible 112 0.71410 0.72583 1.64% 23.3 330s
124481 26741 infeasible 100 0.71410 0.72575 1.63% 23.3 335s
126393 27055 0.71752 120 73 0.71410 0.72566 1.62% 23.3 340s
129096 27572 0.71750 49 173 0.71410 0.72555 1.60% 23.2 345s
130868 27818 0.72406 120 89 0.71410 0.72549 1.59% 23.2 350s
133501 28330 cutoff 84 0.71410 0.72539 1.58% 23.1 355s
135719 28690 0.71765 78 135 0.71410 0.72530 1.57% 23.0 360s
137797 28911 0.71776 102 109 0.71410 0.72522 1.56% 23.1 365s
139525 29088 cutoff 102 0.71410 0.72514 1.55% 23.1 370s
142111 29554 0.72146 106 88 0.71410 0.72505 1.53% 23.0 375s
144482 29882 0.71785 68 146 0.71410 0.72497 1.52% 23.0 380s
146328 30070 0.72310 78 105 0.71410 0.72488 1.51% 23.0 385s
148493 30326 0.71457 117 89 0.71410 0.72481 1.50% 23.0 390s
150347 30572 infeasible 118 0.71410 0.72474 1.49% 23.0 395s
152723 30883 0.72071 122 90 0.71410 0.72465 1.48% 22.9 400s
154422 31031 infeasible 108 0.71410 0.72460 1.47% 23.0 405s
156259 31192 0.71578 95 87 0.71410 0.72452 1.46% 23.0 410s
157906 31323 0.71823 92 124 0.71410 0.72444 1.45% 23.0 415s
159963 31454 0.71997 96 89 0.71410 0.72434 1.43% 23.0 421s
161786 31625 0.71538 110 73 0.71410 0.72426 1.42% 23.0 425s
163428 31696 cutoff 89 0.71410 0.72419 1.41% 23.0 430s
165343 31878 0.71645 125 56 0.71410 0.72411 1.40% 23.0 435s
166368 31895 cutoff 90 0.71410 0.72407 1.40% 23.0 440s
168160 32087 0.72340 77 128 0.71410 0.72400 1.39% 23.0 445s
169774 32130 cutoff 100 0.71410 0.72393 1.38% 23.1 450s
171659 32377 0.71788 98 100 0.71410 0.72387 1.37% 23.1 455s
173795 32553 cutoff 53 0.71410 0.72377 1.35% 23.1 460s
175638 32786 cutoff 100 0.71410 0.72370 1.34% 23.2 465s
177415 33000 cutoff 113 0.71410 0.72363 1.33% 23.2 470s
179434 33319 cutoff 115 0.71410 0.72357 1.32% 23.2 475s
181258 33463 0.72221 112 94 0.71410 0.72348 1.31% 23.2 480s
183044 33603 0.71980 94 97 0.71410 0.72341 1.30% 23.2 485s
184986 33912 0.72318 100 95 0.71410 0.72334 1.29% 23.2 490s
186904 34157 cutoff 102 0.71410 0.72327 1.28% 23.2 495s
188735 34311 0.71876 100 111 0.71410 0.72320 1.27% 23.2 500s
190439 34258 0.71502 97 112 0.71410 0.72312 1.26% 23.2 505s
192281 34493 cutoff 121 0.71410 0.72306 1.25% 23.2 510s
194149 34810 cutoff 86 0.71410 0.72301 1.25% 23.2 515s
195054 34859 0.72047 84 136 0.71410 0.72298 1.24% 23.2 520s
196754 34978 0.71851 110 102 0.71410 0.72291 1.23% 23.2 525s
198494 35052 cutoff 88 0.71410 0.72283 1.22% 23.2 530s
200470 35227 infeasible 92 0.71410 0.72277 1.21% 23.2 535s
202790 35365 cutoff 114 0.71410 0.72267 1.20% 23.2 541s
204585 35493 0.72043 77 116 0.71410 0.72261 1.19% 23.3 545s
206491 35684 0.71801 110 93 0.71410 0.72254 1.18% 23.2 550s
208235 35810 cutoff 119 0.71410 0.72248 1.17% 23.3 555s
209926 35863 0.71797 81 139 0.71410 0.72242 1.16% 23.3 560s
211562 35865 0.71425 127 83 0.71410 0.72235 1.15% 23.3 565s
213137 35905 cutoff 88 0.71410 0.72227 1.14% 23.3 570s
215108 36034 0.71566 90 123 0.71410 0.72220 1.13% 23.3 575s
217048 36203 cutoff 121 0.71410 0.72214 1.13% 23.3 580s
218863 36261 0.71520 102 81 0.71410 0.72207 1.12% 23.3 585s
220506 36272 0.71444 104 115 0.71410 0.72200 1.11% 23.3 590s
222249 36318 0.72168 71 121 0.71410 0.72193 1.10% 23.3 595s
223984 36393 cutoff 83 0.71410 0.72186 1.09% 23.4 600s
Cutting planes:
Gomory: 206
Cover: 5
Implied bound: 105
Projected implied bound: 38
MIR: 29
Flow cover: 145
Inf proof: 546
Explored 224318 nodes (5246220 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.714105 0.714105
Time limit reached
Best objective 7.141045975580e-01, best bound 7.218519347315e-01, gap 1.0849%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 1
Seed for training 781
Seed for simulation 341
direc: array([[ 49.82849017, 0.26099891, 0.26099891],
[ 0. , 1. , 0. ],
[-39.8576777 , 91.17141817, 36.65019515]])
fopt: 0.5350540997846038
fun: -0.535409537263504
message: 'Optimization terminated successfully.'
nfev: 691
nit: 10
status: 0
success: True
x: array([ 81.99998998, 209. , 82.00220643])
xopt: array([ 82., 209., 83.])
zopt: array([ 82., 291., 374.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjfq9m_9z.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9hysp_kk.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.535054
Presolve removed 899 rows and 580 columns
Presolve time: 0.03s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.453359e-01, 1458 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.84534 0 153 0.53505 0.84534 58.0% - 0s
0 0 0.81236 0 149 0.53505 0.81236 51.8% - 0s
0 0 0.81233 0 150 0.53505 0.81233 51.8% - 0s
0 0 0.79555 0 167 0.53505 0.79555 48.7% - 0s
0 0 0.79548 0 167 0.53505 0.79548 48.7% - 0s
0 0 0.79418 0 169 0.53505 0.79418 48.4% - 0s
0 0 0.79408 0 172 0.53505 0.79408 48.4% - 0s
0 0 0.79400 0 170 0.53505 0.79400 48.4% - 0s
0 0 0.79399 0 170 0.53505 0.79399 48.4% - 0s
0 0 0.79399 0 170 0.53505 0.79399 48.4% - 0s
0 0 0.79399 0 158 0.53505 0.79399 48.4% - 0s
0 2 0.79399 0 158 0.53505 0.79399 48.4% - 0s
742 545 0.74933 12 171 0.53505 0.76329 42.7% 28.2 5s
1785 914 0.60818 58 138 0.53505 0.76136 42.3% 28.7 10s
H 2871 1487 0.5473528 0.75158 37.3% 25.3 13s
3500 1856 0.69329 36 146 0.54735 0.74775 36.6% 25.1 15s
H 3617 1707 0.5761818 0.74741 29.7% 25.4 17s
4449 2219 0.64077 51 155 0.57618 0.74167 28.7% 26.0 20s
5884 2992 0.60232 58 96 0.57618 0.73518 27.6% 27.2 26s
H 5895 2993 0.5763300 0.73518 27.6% 27.3 26s
6805 3526 0.63616 42 134 0.57633 0.73298 27.2% 27.4 30s
8642 4397 0.70634 26 132 0.57633 0.72938 26.6% 28.5 35s
10723 5394 infeasible 48 0.57633 0.72759 26.2% 29.0 40s
12310 6305 0.71680 28 144 0.57633 0.72622 26.0% 29.1 45s
14333 7367 0.71129 36 144 0.57633 0.72487 25.8% 29.3 50s
15521 7932 0.60247 50 142 0.57633 0.72420 25.7% 29.9 56s
15933 8130 cutoff 40 0.57633 0.72398 25.6% 30.2 60s
17317 8777 cutoff 49 0.57633 0.72324 25.5% 30.7 65s
H18596 9480 0.5766755 0.72286 25.4% 30.4 69s
H18597 9446 0.5782268 0.72286 25.0% 30.4 69s
18607 9433 0.66613 43 148 0.57823 0.72286 25.0% 30.4 70s
20075 10106 infeasible 43 0.57823 0.72221 24.9% 30.9 75s
21362 10688 0.69447 51 158 0.57823 0.72143 24.8% 31.0 101s
21371 10694 0.68912 31 215 0.57823 0.72143 24.8% 31.0 105s
21377 10698 0.65449 95 219 0.57823 0.72143 24.8% 31.0 111s
21379 10699 0.58927 74 244 0.57823 0.72143 24.8% 31.0 115s
21383 10702 0.66702 44 257 0.57823 0.72143 24.8% 31.0 121s
21385 10703 0.64763 46 261 0.57823 0.72143 24.8% 31.0 125s
21391 10707 0.67100 34 254 0.57823 0.72143 24.8% 31.0 130s
21396 10711 0.69567 42 251 0.57823 0.72143 24.8% 31.0 136s
21399 10713 0.63692 47 252 0.57823 0.72143 24.8% 31.0 140s
21403 10715 0.65863 49 260 0.57823 0.72143 24.8% 31.0 145s
21408 10719 0.62752 41 253 0.57823 0.72143 24.8% 31.0 150s
21411 10721 0.72028 36 263 0.57823 0.72143 24.8% 31.0 155s
21414 10723 0.60281 44 257 0.57823 0.72143 24.8% 31.0 160s
21418 10725 0.59607 37 269 0.57823 0.72143 24.8% 31.0 165s
21423 10729 0.63514 44 263 0.57823 0.72143 24.8% 31.0 171s
21425 10730 0.70945 39 271 0.57823 0.72143 24.8% 31.0 175s
21429 10733 0.60149 100 285 0.57823 0.72143 24.8% 30.9 180s
21433 10735 0.69978 41 284 0.57823 0.72143 24.8% 30.9 186s
21435 10737 0.61493 46 285 0.57823 0.72143 24.8% 30.9 190s
21440 10740 0.61707 43 284 0.57823 0.72143 24.8% 30.9 195s
21443 10742 0.70656 38 268 0.57823 0.72143 24.8% 30.9 201s
21444 10746 0.72143 21 249 0.57823 0.72143 24.8% 31.9 207s
21446 10747 0.66542 22 244 0.57823 0.72143 24.8% 31.9 213s
21450 10746 infeasible 23 0.57823 0.71808 24.2% 32.0 216s
21474 10753 0.71588 28 269 0.57823 0.71755 24.1% 32.1 220s
H21478 10213 0.5821724 0.71755 23.3% 32.1 220s
H21590 9748 0.5829437 0.71755 23.1% 32.6 225s
21695 9785 0.62299 75 172 0.58294 0.71737 23.1% 32.9 230s
21787 9829 0.67483 40 210 0.58294 0.71737 23.1% 33.2 236s
22005 9894 cutoff 40 0.58294 0.71532 22.7% 33.6 240s
22282 9990 0.68970 36 238 0.58294 0.71464 22.6% 34.5 245s
22613 10118 0.60464 67 181 0.58294 0.71414 22.5% 35.1 250s
22922 10184 0.66690 42 232 0.58294 0.71340 22.4% 36.0 255s
23210 10277 0.70342 35 243 0.58294 0.71318 22.3% 37.0 260s
23608 10398 0.60869 52 189 0.58294 0.71235 22.2% 37.9 266s
23956 10483 0.68941 33 216 0.58294 0.71147 22.0% 38.7 271s
24295 10584 cutoff 59 0.58294 0.71063 21.9% 39.1 276s
H24444 10139 0.5877710 0.71060 20.9% 39.4 278s
24544 10197 0.70516 31 245 0.58777 0.71060 20.9% 39.6 280s
24820 10267 0.62702 35 230 0.58777 0.71003 20.8% 40.3 285s
25168 10376 0.70319 34 236 0.58777 0.71001 20.8% 41.0 291s
25391 10465 0.59501 132 111 0.58777 0.70979 20.8% 41.4 296s
25867 10603 0.67204 38 231 0.58777 0.70922 20.7% 42.1 301s
26160 10683 0.66164 67 181 0.58777 0.70877 20.6% 43.0 307s
26358 10752 0.65744 45 188 0.58777 0.70866 20.6% 43.5 310s
26748 10852 0.63169 48 207 0.58777 0.70819 20.5% 44.5 316s
27102 10954 0.67546 36 201 0.58777 0.70782 20.4% 45.3 322s
27320 11028 0.60205 50 181 0.58777 0.70779 20.4% 45.7 326s
27645 11137 0.69007 32 229 0.58777 0.70736 20.3% 46.3 330s
27851 11199 0.68921 41 238 0.58777 0.70733 20.3% 46.6 340s
27855 11196 0.68608 41 231 0.58777 0.70733 20.3% 46.6 345s
28373 11333 0.65147 39 225 0.58777 0.70684 20.3% 47.7 353s
28686 11419 0.61418 58 199 0.58777 0.70661 20.2% 48.2 357s
28912 11469 cutoff 53 0.58777 0.70648 20.2% 48.8 362s
29271 11577 0.68887 37 238 0.58777 0.70604 20.1% 49.3 366s
29608 11656 0.68867 33 229 0.58777 0.70572 20.1% 50.0 372s
29922 11743 0.68074 29 241 0.58777 0.70546 20.0% 50.6 377s
30185 11809 cutoff 55 0.58777 0.70523 20.0% 51.5 382s
30510 11886 0.63230 43 201 0.58777 0.70460 19.9% 52.2 388s
30788 11945 0.66408 43 234 0.58777 0.70453 19.9% 52.5 394s
31099 12029 0.66164 35 210 0.58777 0.70423 19.8% 53.2 400s
31506 12174 infeasible 58 0.58777 0.70402 19.8% 53.9 406s
31914 12280 0.61191 58 180 0.58777 0.70340 19.7% 54.5 412s
32333 12405 0.66332 33 239 0.58777 0.70317 19.6% 55.0 418s
32698 12486 0.67045 41 204 0.58777 0.70286 19.6% 55.7 425s
33094 12571 cutoff 46 0.58777 0.70242 19.5% 56.3 431s
33480 12691 0.64498 30 239 0.58777 0.70211 19.5% 57.0 437s
33857 12780 0.61375 34 209 0.58777 0.70181 19.4% 57.6 443s
34176 12877 0.59389 57 182 0.58777 0.70158 19.4% 58.3 449s
34550 12960 0.68205 37 210 0.58777 0.70126 19.3% 59.0 456s
34955 13065 0.59519 42 208 0.58777 0.70100 19.3% 59.5 462s
35363 13148 0.67997 35 242 0.58777 0.70079 19.2% 60.3 468s
35494 13152 cutoff 41 0.58777 0.70072 19.2% 60.5 474s
35970 13266 0.65447 38 227 0.58777 0.69988 19.1% 61.0 480s
36337 13301 0.67124 35 213 0.58777 0.69960 19.0% 61.7 486s
36698 13383 cutoff 51 0.58777 0.69936 19.0% 62.3 493s
37044 13473 0.65576 45 246 0.58777 0.69899 18.9% 62.9 499s
37391 13578 0.63081 52 191 0.58777 0.69873 18.9% 63.4 508s
H37392 13111 0.5879832 0.69873 18.8% 63.4 508s
H37406 12212 0.5947083 0.69873 17.5% 63.4 508s
37437 12204 0.64897 43 208 0.59471 0.69870 17.5% 63.5 514s
37707 12223 0.62558 44 233 0.59471 0.69854 17.5% 64.1 521s
38178 12350 0.61023 84 145 0.59471 0.69840 17.4% 64.7 534s
38547 12392 0.67036 41 223 0.59471 0.69796 17.4% 65.3 540s
38956 12478 cutoff 43 0.59471 0.69774 17.3% 65.8 548s
39393 12576 0.65822 44 225 0.59471 0.69741 17.3% 66.4 555s
39743 12670 0.67405 31 248 0.59471 0.69722 17.2% 67.0 561s
40207 12775 0.68345 39 228 0.59471 0.69704 17.2% 67.3 568s
40595 12868 0.60523 37 210 0.59471 0.69680 17.2% 67.8 575s
41145 12996 0.60779 58 198 0.59471 0.69655 17.1% 68.0 581s
41370 13029 0.66909 37 227 0.59471 0.69641 17.1% 68.4 587s
41909 13227 0.61603 54 166 0.59471 0.69618 17.1% 68.6 594s
42392 13357 0.67683 33 235 0.59471 0.69593 17.0% 69.0 600s
Cutting planes:
Gomory: 247
Cover: 6
Implied bound: 51
Projected implied bound: 72
Clique: 1
MIR: 200
StrongCG: 1
Flow cover: 607
Inf proof: 86
Zero half: 2
Explored 42669 nodes (2968854 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.594708 0.587983 0.587771 ... 0.547353
Time limit reached
Best objective 5.947082622549e-01, best bound 6.958554908662e-01, gap 17.0079%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjyult5jb.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwnlmgl2f.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.00s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8385065e+01 5.617500e+02 0.000000e+00 0s
213 1.1361232e+01 0.000000e+00 0.000000e+00 0s
Solved in 213 iterations and 0.01 seconds
Optimal objective 1.136123167e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.81679424e-03, -1.22301231e-02, -2.56990374e-04]])
fopt: 1.3553597865657727
fun: -1.3646017389071088
message: 'Optimization terminated successfully.'
nfev: 123
nit: 2
status: 0
success: True
x: array([ 29.08728989, -87.99987691, -0.93729343])
xopt: array([29., 0., 0.])
zopt: array([29., 29., 29.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.17645761e-07, -9.26746829e-09, -1.01444168e-08]])
fopt: 1.222556481973163
fun: -1.2300914830968273
message: 'Optimization terminated successfully.'
nfev: 263
nit: 2
status: 0
success: True
x: array([43.90946775, -0.82710717, -1.00000001])
xopt: array([44., 0., 0.])
zopt: array([44., 44., 44.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.18583743e-03, 2.61495016e-05, -0.00000000e+00]])
fopt: 1.4342105272736314
fun: -1.4436852901629837
message: 'Optimization terminated successfully.'
nfev: 609
nit: 8
status: 0
success: True
x: array([63.40300369, -0.94431113, -0.96153755])
xopt: array([63., 0., 0.])
zopt: array([63., 63., 63.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.72520677e-01, -6.99308718e-11, -0.00000000e+00]])
fopt: 1.2441779829505977
fun: -1.2429406118549424
message: 'Optimization terminated successfully.'
nfev: 358
nit: 3
status: 0
success: True
x: array([76.92853097, 1. , 1.05122266])
xopt: array([76., 2., 1.])
zopt: array([76., 78., 79.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1465
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+000, 0.00000000e+000, 0.00000000e+000],
[ 0.00000000e+000, 1.00000000e+000, 0.00000000e+000],
[ 0.00000000e+000, -1.60197467e+300, -inf]])
fopt: 0.9499483909474171
fun: nan
message: 'NaN result encountered.'
nfev: 1082
nit: 3
status: 3
success: False
x: array([ 1.16113911e+002, -5.74777133e+300, -inf])
xopt: array([117., 0., 0.])
zopt: array([117., 117., 117.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.9802564528091079
fun: -0.9842740027319278
message: 'Optimization terminated successfully.'
nfev: 269
nit: 3
status: 0
success: True
x: array([138.00025201, 1.11370444, 2. ])
xopt: array([138., 1., 2.])
zopt: array([138., 139., 141.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.925061194730735
fun: -0.9266630485984068
message: 'Optimization terminated successfully.'
nfev: 198
nit: 3
status: 0
success: True
x: array([160.99998012, 1.00037352, 1.0128275 ])
xopt: array([160., 2., 1.])
zopt: array([160., 162., 163.])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.13076105, 0. , 0. ]])
fopt: 0.8188541620089071
fun: -0.8203200262015097
message: 'Optimization terminated successfully.'
nfev: 366
nit: 3
status: 0
success: True
x: array([160.99869257, 1.00003533, 1. ])
xopt: array([160., 2., 1.])
zopt: array([160., 162., 163.])
*******************************************
Period: 11
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.858616558727699
fun: -0.8582264870387436
message: 'Optimization terminated successfully.'
nfev: 194
nit: 3
status: 0
success: True
x: array([160.88409503, 1.02001956, 17.10934063])
xopt: array([160., 2., 17.])
zopt: array([160., 162., 179.])
*******************************************
Period: 12
direc: array([[ 3.04568208e-03, -0.00000000e+00, 1.13564408e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.8302179521181701
fun: -0.8300627124762455
message: 'Optimization terminated successfully.'
nfev: 442
nit: 5
status: 0
success: True
x: array([160.98164619, 1.02218627, 29.00427071])
xopt: array([160., 2., 29.])
zopt: array([160., 162., 191.])
*******************************************
Period: 13
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-4.67110932, 0. , 38.75403255]])
fopt: 0.801298029991032
fun: -0.8016588313979378
message: 'Optimization terminated successfully.'
nfev: 471
nit: 6
status: 0
success: True
x: array([158.99797737, 3.00022716, 43.01570885])
xopt: array([158., 4., 43.])
zopt: array([158., 162., 205.])
*******************************************
Period: 14
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7749873200063413
fun: -0.7753603491665333
message: 'Optimization terminated successfully.'
nfev: 281
nit: 4
status: 0
success: True
x: array([160.99999974, 1.0000303 , 63.00116133])
xopt: array([160., 2., 63.])
zopt: array([160., 162., 225.])
*******************************************
Period: 15
direc: array([[-2.55882493e-08, -1.25676166e-15, -3.36711643e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.60462266e-07, -1.60860457e-06, 7.41836275e+01]])
fopt: 0.7486112204900851
fun: -0.747560115786923
message: 'Optimization terminated successfully.'
nfev: 416
nit: 4
status: 0
success: True
x: array([160.99862195, 1.00000059, 78.65933369])
xopt: array([160., 2., 78.])
zopt: array([160., 162., 240.])
*******************************************
Period: 16
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7594657096180893
fun: -0.7582626057903528
message: 'Optimization terminated successfully.'
nfev: 191
nit: 3
status: 0
success: True
x: array([159.88456525, 2.00812936, 95.38984141])
xopt: array([159., 3., 95.])
zopt: array([159., 162., 257.])
*******************************************
Period: 17
direc: array([[ 6.58959455e-03, 4.13305942e-05, 8.32588877e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.34205364e-07, -2.71838818e-04, 1.11132642e+02]])
fopt: 0.7389322763722925
fun: -0.7372935333315322
message: 'Optimization terminated successfully.'
nfev: 702
nit: 7
status: 0
success: True
x: array([160.66217302, 2.05244145, 117.00017772])
xopt: array([160., 2., 117.])
zopt: array([160., 162., 279.])
*******************************************
Period: 18
direc: array([[-1.34280381e-04, -8.60000540e-07, -1.82373762e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.728549591022751
fun: -0.7257245185348743
message: 'Optimization terminated successfully.'
nfev: 424
nit: 4
status: 0
success: True
x: array([160.56640004, 2.02266703, 133.37985354])
xopt: array([160., 2., 134.])
zopt: array([160., 162., 296.])
*******************************************
Period: 19
direc: array([[ 3.43801818e-05, 2.15377396e-07, 5.40240078e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.99270219e-07, -1.03277835e-05, -1.36543089e+00]])
fopt: 0.7082780007418283
fun: -0.7073795161652666
message: 'Optimization terminated successfully.'
nfev: 518
nit: 5
status: 0
success: True
x: array([160.51513562, 2.00017399, 159.00001733])
xopt: array([160., 2., 159.])
zopt: array([160., 162., 321.])
*******************************************
Period: 20
direc: array([[1.26400822e-02, 7.91988348e-05, 1.59111791e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.54430837e-01, 2.84254917e-03, 3.61577233e+01]])
fopt: 0.66287822630489
fun: -0.6613966329086479
message: 'Optimization terminated successfully.'
nfev: 436
nit: 5
status: 0
success: True
x: array([160.61602598, 2. , 161.00073167])
xopt: array([160., 2., 161.])
zopt: array([160., 162., 323.])
*******************************************
Period: 21
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6763670511275364
fun: -0.6768196753358681
message: 'Optimization terminated successfully.'
nfev: 445
nit: 5
status: 0
success: True
x: array([160.81018117, 1.00156569, 178.01774571])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 22
direc: array([[128.47498404, 5.17155111, 10.43143652],
[ 0. , 1. , 0. ],
[ 0. , 0. , 142.11160578]])
fopt: 0.6876231933061027
fun: -0.6874779296936862
message: 'Optimization terminated successfully.'
nfev: 524
nit: 6
status: 0
success: True
x: array([154.21860858, 8.00006657, 174.00864035])
xopt: array([154., 8., 174.])
zopt: array([154., 162., 336.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -4.15515599e-03, 1.71844105e+02]])
fopt: 0.6801396463853489
fun: -0.6796136461448795
message: 'Optimization terminated successfully.'
nfev: 504
nit: 6
status: 0
success: True
x: array([160.32384107, 2.04387248, 176.0032259 ])
xopt: array([160., 2., 176.])
zopt: array([160., 162., 338.])
*******************************************
Period: 24
direc: array([[-1.99433926e-04, -0.00000000e+00, -2.52978791e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.85130105e-04, 0.00000000e+00, 9.65553265e-01]])
fopt: 0.4153090266701538
fun: -0.4136328063903344
message: 'Optimization terminated successfully.'
nfev: 442
nit: 4
status: 0
success: True
x: array([161.38463224, 1. , 5.00001126])
xopt: array([161., 1., 6.])
zopt: array([161., 162., 168.])
*******************************************
Period: 25
direc: array([[1.20199532e-01, 0.00000000e+00, 1.50910162e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.70497216e+00, 0.00000000e+00, 4.50821709e+01]])
fopt: 0.6531535043838271
fun: -0.6879141112904275
message: 'Optimization terminated successfully.'
nfev: 530
nit: 7
status: 0
success: True
x: array([169.86993648, -7.86994858, 177.00000056])
xopt: array([169., 0., 178.])
zopt: array([169., 169., 347.])
*******************************************
Period: 26
direc: array([[7.44105938e-03, 4.67476881e-05, 9.37634782e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.06873738e-01, 6.30393048e-07, 1.74981367e+02]])
fopt: 0.704151526813963
fun: -0.7011392411081051
message: 'Optimization terminated successfully.'
nfev: 542
nit: 5
status: 0
success: True
x: array([160.78839427, 2. , 179.92021906])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -4.81623442e-18, -1.19996194e-10],
[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.4873857397882316
fun: -0.48618796229685884
message: 'Optimization terminated successfully.'
nfev: 370
nit: 4
status: 0
success: True
x: array([160.1158008 , 2.00045318, 5.01532182])
xopt: array([160., 2., 6.])
zopt: array([160., 162., 168.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 174.49919248]])
fopt: 0.7170680581447346
fun: -0.7170091957199602
message: 'Optimization terminated successfully.'
nfev: 374
nit: 4
status: 0
success: True
x: array([160.18747793, 2. , 179.00606201])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , -0.00809225]])
fopt: 0.7053972593161679
fun: -0.7047780598464664
message: 'Optimization terminated successfully.'
nfev: 451
nit: 5
status: 0
success: True
x: array([160.37367324, 2. , 179.0000012 ])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 30
direc: array([[-7.38982019e-02, -1.43387806e-06, -9.97922732e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.5056409147267179
fun: -0.504404632966584
message: 'Optimization terminated successfully.'
nfev: 479
nit: 5
status: 0
success: True
x: array([160.99999884, 1.00011198, 8.00256027])
xopt: array([160., 2., 9.])
zopt: array([160., 162., 171.])
*******************************************
Period: 31
direc: array([[1.97253146e-06, 1.23593358e-08, 2.50079893e-08],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.00928046e-06, 1.04116024e-03, 1.12274333e+02]])
fopt: 0.6669976325060312
fun: -0.6666603035726407
message: 'Optimization terminated successfully.'
nfev: 677
nit: 6
status: 0
success: True
x: array([160.37210733, 2.00002055, 159.00459452])
xopt: array([160., 2., 159.])
zopt: array([160., 162., 321.])
*******************************************
Period: 32
direc: array([[2.63311097e-05, 1.65387152e-07, 3.36799987e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4784609909918097
fun: -0.4764201643576715
message: 'Optimization terminated successfully.'
nfev: 336
nit: 3
status: 0
success: True
x: array([160.20894539, 2.00050577, 5.01514794])
xopt: array([160., 2., 6.])
zopt: array([160., 162., 168.])
*******************************************
Period: 33
direc: array([[-7.68062740e-01, -3.88416799e-05, -1.12766215e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.45847708776768026
fun: -0.45759483955374053
message: 'Optimization terminated successfully.'
nfev: 430
nit: 4
status: 0
success: True
x: array([161.00828661, 1.00179836, 5.01740023])
xopt: array([161., 1., 6.])
zopt: array([161., 162., 168.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 1. ],
[-140.5637005 , 69.2915545 , 92.21913651],
[ 0. , 0. , 0. ]])
fopt: 0.6578244242404291
fun: -0.657864578210524
message: 'Optimization terminated successfully.'
nfev: 718
nit: 9
status: 0
success: True
x: array([ 85.18304644, 77.03622052, 104.00007734])
xopt: array([ 85., 77., 105.])
zopt: array([ 85., 162., 267.])
*******************************************
Period: 35
direc: array([[2.57816164e-03, 1.61602526e-05, 3.28673448e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.25250338e-01, 1.39396139e-03, 1.74039782e+02]])
fopt: 0.66191552450955
fun: -0.661060318630148
message: 'Optimization terminated successfully.'
nfev: 456
nit: 4
status: 0
success: True
x: array([160.54020687, 2. , 179.06248844])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 36
direc: array([[-9.64771506e-09, -4.87431081e-13, -4.70121053e-18],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.24107388e-08, -5.92904734e-04, 2.19796673e+00]])
fopt: 0.6634237682630487
fun: -0.6630566394742683
message: 'Optimization terminated successfully.'
nfev: 398
nit: 5
status: 0
success: True
x: array([ 1.62005039e+02, -5.04632133e-03, 1.78001400e+02])
xopt: array([162., 0., 179.])
zopt: array([162., 162., 341.])
*******************************************
Period: 37
direc: array([[-1.05171678e+00, -1.64854466e-07, -1.32450261e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -5.45097813e-10, 3.10232299e+00]])
fopt: 0.6536542623079751
fun: -0.652801228654355
message: 'Optimization terminated successfully.'
nfev: 722
nit: 7
status: 0
success: True
x: array([160.99981283, 1. , 178.00673722])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 38
direc: array([[3.10206222e-05, 1.94130113e-07, 3.90445857e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.45066411e-05, 4.03688922e-07, 2.07947687e+00]])
fopt: 0.658707552525023
fun: -0.6571918595545283
message: 'Optimization terminated successfully.'
nfev: 566
nit: 5
status: 0
success: True
x: array([160.79296205, 2. , 178.06336426])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 39
direc: array([[ 6.64273626e-02, 4.15587758e-04, 4.15587758e-04],
[ 6.83691856e-02, 4.27466544e-04, 1.02966001e+00],
[ 9.23825580e+00, -1.09066905e-02, 1.52144770e+02]])
fopt: 0.6347576225524656
fun: -0.6309728914735961
message: 'Optimization terminated successfully.'
nfev: 534
nit: 5
status: 0
success: True
x: array([161.1271241 , 1.93263032, 157.0316238 ])
xopt: array([161., 1., 158.])
zopt: array([161., 162., 320.])
*******************************************
Period: 40
direc: array([[ 4.32863476e-01, 1.82970210e-03, 3.67671014e-03],
[ 1.46250104e+00, 9.05346712e+00, 6.04394582e+00],
[-2.89080566e-06, 9.99999988e-01, -2.45542875e-08]])
fopt: 0.37488295025035523
fun: -0.37479359676619056
message: 'Optimization terminated successfully.'
nfev: 831
nit: 9
status: 0
success: True
x: array([240.00000464, 19.00064015, 12.05553592])
xopt: array([240., 19., 13.])
zopt: array([240., 259., 272.])
*******************************************
Period: 41
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 76.04343847, 48.43084731]])
fopt: 0.44209409376218206
fun: -0.4416621119995858
message: 'Optimization terminated successfully.'
nfev: 396
nit: 6
status: 0
success: True
x: array([236.28533194, 85.00009426, 55.09067259])
xopt: array([236., 85., 56.])
zopt: array([236., 321., 377.])
*******************************************
Period: 42
direc: array([[ 3.81841653e-06, 1.61015340e-08, 3.22892371e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.84793026e-10, -2.08763829e-03, -1.28693414e-03]])
fopt: 0.35554603480656816
fun: -0.3552292267886575
message: 'Optimization terminated successfully.'
nfev: 492
nit: 6
status: 0
success: True
x: array([238.14612762, 19.00722773, 14.02930531])
xopt: array([238., 19., 15.])
zopt: array([238., 257., 272.])
*******************************************
Period: 43
direc: array([[1.55347206e-04, 9.72869580e-07, 9.72869580e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.64299730e-02, 7.73795166e-03, 1.70135206e+02]])
fopt: 0.6328189278951517
fun: -0.6326085658125423
message: 'Optimization terminated successfully.'
nfev: 660
nit: 6
status: 0
success: True
x: array([160.07869415, 2.00000369, 176.00082274])
xopt: array([160., 3., 177.])
zopt: array([160., 163., 340.])
*******************************************
Period: 44
direc: array([[5.22756500e-02, 3.28313685e-04, 3.28313685e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.56374617e+00, 4.58096939e-05, 1.83009041e+02]])
fopt: 0.6190091846332823
fun: -0.6179767548881175
message: 'Optimization terminated successfully.'
nfev: 371
nit: 4
status: 0
success: True
x: array([169.93748343, 2. , 188.00508119])
xopt: array([169., 2., 188.])
zopt: array([169., 171., 359.])
*******************************************
Period: 45
direc: array([[2.56197711e-05, 0.00000000e+00, 1.59651943e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.92013688e-04, 4.62594719e-01, 1.74012815e+02]])
fopt: 0.6261477623383325
fun: -0.6258840450106301
message: 'Optimization terminated successfully.'
nfev: 456
nit: 6
status: 0
success: True
x: array([161.000012 , 1.00019876, 179.07156957])
xopt: array([161., 2., 180.])
zopt: array([161., 163., 343.])
*******************************************
Period: 46
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.70071523e+02, 1.70084121e+02, 1.13389414e+02],
[-5.35452050e-02, 1.99998439e+00, -1.04040600e-05]])
fopt: 0.6173381885010882
fun: -0.6156592570906309
message: 'Optimization terminated successfully.'
nfev: 802
nit: 11
status: 0
success: True
x: array([ 84.01194224, 191.0039205 , 123.11167564])
xopt: array([ 84., 192., 124.])
zopt: array([ 84., 276., 400.])
*******************************************
Period: 47
direc: array([[1.93689458e-08, 0.00000000e+00, 1.21027948e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.46069105e-07, 1.28866341e-02, 1.74657112e+02]])
fopt: 0.6187629053622926
fun: -0.618669917110952
message: 'Optimization terminated successfully.'
nfev: 605
nit: 6
status: 0
success: True
x: array([161.00023454, 1.00002117, 179.00057863])
xopt: array([161., 2., 180.])
zopt: array([161., 163., 343.])
*******************************************
Period: 48
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 7.04910726]])
fopt: 0.6172432428509992
fun: -0.6163620830112546
message: 'Optimization terminated successfully.'
nfev: 558
nit: 6
status: 0
success: True
x: array([160.88014615, 2. , 179.00000775])
xopt: array([160., 2., 179.])
zopt: array([160., 162., 341.])
*******************************************
Period: 49
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 173.6905302]])
fopt: 0.6058749346054981
fun: -0.6046192239697405
message: 'Optimization terminated successfully.'
nfev: 519
nit: 5
status: 0
success: True
x: array([161.70478344, 1. , 178.00562908])
xopt: array([161., 1., 179.])
zopt: array([161., 162., 341.])
*******************************************
Period: 50
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 173.95781385]])
fopt: 0.5982510023907076
fun: -0.5967905571454389
message: 'Optimization terminated successfully.'
nfev: 449
nit: 5
status: 0
success: True
x: array([160.78673182, 2.00002525, 178.03816585])
xopt: array([160., 3., 179.])
zopt: array([160., 163., 342.])
*******************************************
Period: 51
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 174.70631593]])
fopt: 0.5928040820929115
fun: -0.5922133114096872
message: 'Optimization terminated successfully.'
nfev: 567
nit: 7
status: 0
success: True
x: array([160.78673182, 4.00012617, 179.0000104 ])
xopt: array([160., 4., 179.])
zopt: array([160., 164., 343.])
*******************************************
Period: 52
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 175.70491778]])
fopt: 0.5878351123210135
fun: -0.5876106801695945
message: 'Optimization terminated successfully.'
nfev: 500
nit: 6
status: 0
success: True
x: array([161.03706616, 3.0001501 , 179.01200808])
xopt: array([161., 3., 180.])
zopt: array([161., 164., 344.])
*******************************************
Period: 53
direc: array([[-36.1464234 , 0. , 135.2122701 ],
[ 0. , 1. , 0. ],
[ 9.81375467, 0.36299823, 11.07607908]])
fopt: 0.5798375017436168
fun: -0.579607658810351
message: 'Optimization terminated successfully.'
nfev: 660
nit: 7
status: 0
success: True
x: array([162.18899276, 3.00000025, 181.00001035])
xopt: array([162., 3., 182.])
zopt: array([162., 165., 347.])
*******************************************
Period: 54
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 175.08834908]])
fopt: 0.576119258986714
fun: -0.5757649071289219
message: 'Optimization terminated successfully.'
nfev: 468
nit: 5
status: 0
success: True
x: array([161.31241524, 2. , 180.0000009 ])
xopt: array([162., 2., 181.])
zopt: array([162., 164., 345.])
*******************************************
Period: 55
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 176.05867163]])
fopt: 0.5669077303947497
fun: -0.5662348889022455
message: 'Optimization terminated successfully.'
nfev: 561
nit: 6
status: 0
success: True
x: array([161.30707495, 3. , 181.00015176])
xopt: array([161., 4., 182.])
zopt: array([161., 165., 347.])
*******************************************
Period: 56
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 176.60680216]])
fopt: 0.5635424750038491
fun: -0.5629796972875722
message: 'Optimization terminated successfully.'
nfev: 495
nit: 6
status: 0
success: True
x: array([161.22706005, 3.00017307, 181.00002039])
xopt: array([161., 4., 182.])
zopt: array([161., 165., 347.])
*******************************************
Period: 57
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 8.13144647]])
fopt: 0.5594202356995852
fun: -0.5591012264981571
message: 'Optimization terminated successfully.'
nfev: 464
nit: 5
status: 0
success: True
x: array([161.32705562, 2. , 180.00010294])
xopt: array([162., 2., 181.])
zopt: array([162., 164., 345.])
*******************************************
Period: 58
direc: array([[-117.55456569, 5.33628158, 113.00179421],
[ 0. , 1. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.49162638301567013
fun: -0.4901819249029107
message: 'Optimization terminated successfully.'
nfev: 518
nit: 6
status: 0
success: True
x: array([158.55652024, 4.15451371, 122.01334296])
xopt: array([158., 5., 123.])
zopt: array([158., 163., 286.])
*******************************************
Period: 59
direc: array([[145.93906833, 0.91043207, 0.91043207],
[ 0. , 1. , 0. ],
[ -0.47758672, -73.45396779, 59.23497459]])
fopt: 0.4275524672774993
fun: -0.4683558227113767
message: 'Optimization terminated successfully.'
nfev: 459
nit: 6
status: 0
success: True
x: array([ 266.09697087, -103.09694175, 133. ])
xopt: array([266., 0., 133.])
zopt: array([266., 266., 399.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8pg_n7kl.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6x1kzned.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbqlurtbr.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpam65_iu1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2083
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.355360e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.3553598 1.35536 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35536 1.2083
Optimal solution found (tolerance 1.00e-02)
Best objective 1.355359786566e+00, best bound 1.355359786566e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb16z_msm.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp14wml4b5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.782082
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 1.365931e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36593 0 6 0.78208 1.36593 74.7% - 0s
H 0 0 1.2225565 1.36593 11.7% - 0s
0 0 1.28556 0 1 1.22256 1.28556 5.15% - 0s
Cutting planes:
Gomory: 4
Flow cover: 2
Flow path: 1
Explored 1 nodes (31 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.22256 0.782082
Optimal solution found (tolerance 1.00e-02)
Best objective 1.222556481973e+00, best bound 1.222556481973e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9bn1xamo.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5vynfrro.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.726385
Presolve removed 108 rows and 76 columns
Presolve time: 0.00s
Presolved: 83 rows, 66 columns, 272 nonzeros
Variable types: 30 continuous, 36 integer (31 binary)
Root relaxation: objective 1.690225e+00, 47 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69022 0 3 0.72639 1.69022 133% - 0s
H 0 0 1.4342105 1.69022 17.9% - 0s
0 0 1.49511 0 1 1.43421 1.49511 4.25% - 0s
0 0 cutoff 0 1.43421 1.43421 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (67 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.43421 0.726385
Optimal solution found (tolerance 1.00e-02)
Best objective 1.434210527274e+00, best bound 1.434210527274e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy2ysm4_2.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7bximu57.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04677
Presolve removed 142 rows and 99 columns
Presolve time: 0.00s
Presolved: 95 rows, 76 columns, 322 nonzeros
Variable types: 37 continuous, 39 integer (34 binary)
Root relaxation: objective 1.601461e+00, 56 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60146 0 4 1.04677 1.60146 53.0% - 0s
H 0 0 1.2413114 1.60146 29.0% - 0s
H 0 0 1.3120520 1.60146 22.1% - 0s
0 0 1.36077 0 1 1.31205 1.36077 3.71% - 0s
0 0 cutoff 0 1.31205 1.31205 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 3
Flow path: 1
Explored 1 nodes (80 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31205 1.24131 1.04677
Optimal solution found (tolerance 1.00e-02)
Best objective 1.312052033481e+00, best bound 1.312052033481e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgh16c8qw.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9awd935o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02956
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.612894e+00, 87 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61289 0 7 1.02956 1.61289 56.7% - 0s
H 0 0 1.2413697 1.61289 29.9% - 0s
0 0 1.32844 0 4 1.24137 1.32844 7.01% - 0s
H 0 0 1.2578952 1.32844 5.61% - 0s
* 0 0 0 1.2673383 1.26734 0.00% - 0s
Cutting planes:
Gomory: 5
MIR: 1
Flow cover: 6
Explored 1 nodes (130 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.26734 1.2579 1.24137 1.02956
Optimal solution found (tolerance 1.00e-02)
Best objective 1.267338344178e+00, best bound 1.267338344178e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb3kem6h4.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprn18ecnm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02222
Presolve removed 165 rows and 111 columns
Presolve time: 0.00s
Presolved: 164 rows, 130 columns, 563 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 1.481352e+00, 100 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48135 0 9 1.02222 1.48135 44.9% - 0s
0 0 1.18582 0 5 1.02222 1.18582 16.0% - 0s
H 0 0 1.1266930 1.18582 5.25% - 0s
H 0 0 1.1294079 1.18582 5.00% - 0s
0 0 1.18582 0 5 1.12941 1.18582 5.00% - 0s
0 0 cutoff 0 1.12941 1.12941 0.00% - 0s
Cutting planes:
Gomory: 7
MIR: 1
Flow cover: 8
Explored 1 nodes (142 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.12941 1.12669 1.02222
Optimal solution found (tolerance 1.00e-02)
Best objective 1.129407937044e+00, best bound 1.129407937044e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplxj_xk90.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsx7tvhpz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.916765
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.582164e+00, 122 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58216 0 10 0.91677 1.58216 72.6% - 0s
0 0 1.43834 0 16 0.91677 1.43834 56.9% - 0s
0 0 1.43833 0 15 0.91677 1.43833 56.9% - 0s
0 0 1.31979 0 4 0.91677 1.31979 44.0% - 0s
H 0 0 1.0336391 1.31979 27.7% - 0s
0 0 1.31910 0 4 1.03364 1.31910 27.6% - 0s
0 0 1.31862 0 4 1.03364 1.31862 27.6% - 0s
0 0 1.31825 0 7 1.03364 1.31825 27.5% - 0s
0 0 1.31825 0 7 1.03364 1.31825 27.5% - 0s
H 0 0 1.1397937 1.31825 15.7% - 0s
0 0 1.31825 0 6 1.13979 1.31825 15.7% - 0s
H 0 0 1.2076670 1.31825 9.16% - 0s
0 0 1.23381 0 1 1.20767 1.23381 2.16% - 0s
0 0 1.21913 0 1 1.20767 1.21913 0.95% - 0s
Cutting planes:
Gomory: 5
Flow cover: 4
Flow path: 1
Explored 1 nodes (322 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.20767 1.13979 1.03364 0.916765
Optimal solution found (tolerance 1.00e-02)
Best objective 1.207666971723e+00, best bound 1.219130992786e+00, gap 0.9493%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptbbxl6b6.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpln752i_0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99602
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.602523e+00, 151 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60252 0 12 0.99602 1.60252 60.9% - 0s
0 0 1.38329 0 23 0.99602 1.38329 38.9% - 0s
H 0 0 1.0512119 1.38329 31.6% - 0s
0 0 1.30784 0 8 1.05121 1.30784 24.4% - 0s
0 0 1.30749 0 9 1.05121 1.30749 24.4% - 0s
0 0 1.30749 0 9 1.05121 1.30749 24.4% - 0s
H 0 0 1.1791011 1.30749 10.9% - 0s
0 0 1.30749 0 6 1.17910 1.30749 10.9% - 0s
0 0 1.25283 0 3 1.17910 1.25283 6.25% - 0s
0 0 1.23426 0 5 1.17910 1.23426 4.68% - 0s
0 0 1.23426 0 5 1.17910 1.23426 4.68% - 0s
0 0 1.23197 0 5 1.17910 1.23197 4.48% - 0s
0 0 1.23119 0 2 1.17910 1.23119 4.42% - 0s
0 0 1.23038 0 5 1.17910 1.23038 4.35% - 0s
0 0 1.23006 0 5 1.17910 1.23006 4.32% - 0s
0 0 1.22697 0 1 1.17910 1.22697 4.06% - 0s
0 0 1.22697 0 1 1.17910 1.22697 4.06% - 0s
0 0 1.22697 0 3 1.17910 1.22697 4.06% - 0s
0 0 1.22697 0 1 1.17910 1.22697 4.06% - 0s
0 0 1.22697 0 1 1.17910 1.22697 4.06% - 0s
0 0 1.22697 0 1 1.17910 1.22697 4.06% - 0s
0 0 1.22697 0 2 1.17910 1.22697 4.06% - 0s
0 0 1.22692 0 2 1.17910 1.22692 4.06% - 0s
0 0 1.20656 0 1 1.17910 1.20656 2.33% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
Flow cover: 1
Explored 1 nodes (465 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.1791 1.05121 0.99602
Optimal solution found (tolerance 1.00e-02)
Best objective 1.179101103262e+00, best bound 1.179101103262e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcmi6rztr.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp61f8j92j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04749
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.438912e+00, 178 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43891 0 13 1.04749 1.43891 37.4% - 0s
0 0 1.24505 0 18 1.04749 1.24505 18.9% - 0s
0 0 1.21866 0 17 1.04749 1.21866 16.3% - 0s
0 0 1.21780 0 17 1.04749 1.21780 16.3% - 0s
0 0 1.21681 0 19 1.04749 1.21681 16.2% - 0s
0 0 1.21438 0 19 1.04749 1.21438 15.9% - 0s
0 0 1.21434 0 19 1.04749 1.21434 15.9% - 0s
0 0 1.21376 0 19 1.04749 1.21376 15.9% - 0s
0 0 1.21376 0 19 1.04749 1.21376 15.9% - 0s
0 2 1.21376 0 19 1.04749 1.21376 15.9% - 0s
* 35 0 8 1.0474901 1.10291 5.29% 3.8 0s
Cutting planes:
Gomory: 9
MIR: 7
Flow cover: 14
Explored 37 nodes (467 simplex iterations) in 0.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.04749 1.04749
Optimal solution found (tolerance 1.00e-02)
Best objective 1.047490096520e+00, best bound 1.047490096520e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy3_kl1so.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1jmxay_f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.943296
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.469789e+00, 208 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46979 0 16 0.94330 1.46979 55.8% - 0s
0 0 1.32340 0 27 0.94330 1.32340 40.3% - 0s
0 0 1.26782 0 27 0.94330 1.26782 34.4% - 0s
0 0 1.22037 0 18 0.94330 1.22037 29.4% - 0s
0 0 1.22001 0 20 0.94330 1.22001 29.3% - 0s
0 0 1.21984 0 20 0.94330 1.21984 29.3% - 0s
0 0 1.21979 0 24 0.94330 1.21979 29.3% - 0s
0 0 1.21979 0 22 0.94330 1.21979 29.3% - 0s
H 0 0 1.0658288 1.21979 14.4% - 0s
0 2 1.21979 0 22 1.06583 1.21979 14.4% - 0s
Cutting planes:
Gomory: 9
Implied bound: 6
MIR: 5
Flow cover: 19
Explored 87 nodes (966 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.06583 0.943296
Optimal solution found (tolerance 1.00e-02)
Best objective 1.065828814481e+00, best bound 1.066791133729e+00, gap 0.0903%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp77rjg_j8.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpefm48_3z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.930565
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.506987e+00, 228 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50699 0 19 0.93056 1.50699 61.9% - 0s
0 0 1.33250 0 21 0.93056 1.33250 43.2% - 0s
0 0 1.30530 0 21 0.93056 1.30530 40.3% - 0s
0 0 1.26745 0 18 0.93056 1.26745 36.2% - 0s
0 0 1.26712 0 20 0.93056 1.26712 36.2% - 0s
0 0 1.26697 0 20 0.93056 1.26697 36.2% - 0s
0 0 1.26693 0 20 0.93056 1.26693 36.1% - 0s
0 0 1.26693 0 20 0.93056 1.26693 36.1% - 0s
0 2 1.26693 0 15 0.93056 1.26693 36.1% - 0s
H 72 28 1.0201625 1.21245 18.8% 8.1 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 3
MIR: 7
Flow cover: 21
Inf proof: 1
Explored 293 nodes (2329 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.02016 0.930565
Optimal solution found (tolerance 1.00e-02)
Best objective 1.020162519892e+00, best bound 1.020162519892e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppqqtwvt3.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsjw0aapb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.925149
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.434000e+00, 230 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43400 0 21 0.92515 1.43400 55.0% - 0s
0 0 1.26328 0 16 0.92515 1.26328 36.5% - 0s
0 0 1.26328 0 16 0.92515 1.26328 36.5% - 0s
0 0 1.23430 0 21 0.92515 1.23430 33.4% - 0s
0 0 1.19984 0 23 0.92515 1.19984 29.7% - 0s
0 0 1.19862 0 19 0.92515 1.19862 29.6% - 0s
0 0 1.19578 0 19 0.92515 1.19578 29.3% - 0s
0 0 1.19578 0 19 0.92515 1.19578 29.3% - 0s
0 0 1.19534 0 17 0.92515 1.19534 29.2% - 0s
0 0 1.19532 0 19 0.92515 1.19532 29.2% - 0s
0 0 1.19411 0 25 0.92515 1.19411 29.1% - 0s
0 0 1.19411 0 25 0.92515 1.19411 29.1% - 0s
0 2 1.19411 0 25 0.92515 1.19411 29.1% - 0s
H 156 67 0.9714021 1.13976 17.3% 7.8 0s
* 359 27 27 0.9726602 1.04666 7.61% 7.3 0s
Cutting planes:
Gomory: 12
Implied bound: 8
Clique: 1
MIR: 4
Flow cover: 29
Inf proof: 5
Explored 466 nodes (3806 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.97266 0.971402 0.925149
Optimal solution found (tolerance 1.00e-02)
Best objective 9.726602044706e-01, best bound 9.726602044706e-01, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1n914gih.pyomo.lp
Reading time = 0.01 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4lud70l_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.886119
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.393430e+00, 261 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.39343 0 24 0.88612 1.39343 57.3% - 0s
0 0 1.23435 0 14 0.88612 1.23435 39.3% - 0s
0 0 1.21055 0 28 0.88612 1.21055 36.6% - 0s
0 0 1.17870 0 26 0.88612 1.17870 33.0% - 0s
0 0 1.17411 0 22 0.88612 1.17411 32.5% - 0s
0 0 1.17399 0 21 0.88612 1.17399 32.5% - 0s
0 0 1.17373 0 21 0.88612 1.17373 32.5% - 0s
0 0 1.17373 0 21 0.88612 1.17373 32.5% - 0s
0 2 1.17373 0 21 0.88612 1.17373 32.5% - 0s
* 332 104 31 0.9020889 1.04566 15.9% 7.3 0s
* 455 85 28 0.9190122 1.03641 12.8% 7.4 0s
* 574 72 34 0.9377969 1.01400 8.13% 7.6 0s
Cutting planes:
Gomory: 14
Cover: 2
Implied bound: 11
Clique: 2
MIR: 4
Flow cover: 31
Inf proof: 8
Explored 739 nodes (5885 simplex iterations) in 0.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.937797 0.919012 0.902089 0.886119
Optimal solution found (tolerance 1.00e-02)
Best objective 9.377969495268e-01, best bound 9.377969495268e-01, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppjfkdynh.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwrs3__r3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.847291
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.350233e+00, 283 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35023 0 25 0.84729 1.35023 59.4% - 0s
0 0 1.19126 0 22 0.84729 1.19126 40.6% - 0s
0 0 1.19126 0 22 0.84729 1.19126 40.6% - 0s
0 0 1.15851 0 32 0.84729 1.15851 36.7% - 0s
0 0 1.12705 0 28 0.84729 1.12705 33.0% - 0s
0 0 1.12540 0 29 0.84729 1.12540 32.8% - 0s
0 0 1.12484 0 32 0.84729 1.12484 32.8% - 0s
0 0 1.12473 0 31 0.84729 1.12473 32.7% - 0s
0 0 1.12370 0 32 0.84729 1.12370 32.6% - 0s
0 0 1.12369 0 31 0.84729 1.12369 32.6% - 0s
0 0 1.12369 0 31 0.84729 1.12369 32.6% - 0s
0 2 1.12369 0 31 0.84729 1.12369 32.6% - 0s
* 401 59 35 0.9005669 1.01023 12.2% 8.0 0s
Cutting planes:
Gomory: 14
Cover: 5
Implied bound: 18
MIR: 2
Flow cover: 36
Inf proof: 10
Explored 1137 nodes (8755 simplex iterations) in 0.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.900567 0.847291
Optimal solution found (tolerance 1.00e-02)
Best objective 9.005668747091e-01, best bound 9.005668747091e-01, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp11k5jogz.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy0qpaqzo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.81437
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.343572e+00, 312 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34357 0 28 0.81437 1.34357 65.0% - 0s
0 0 1.18321 0 31 0.81437 1.18321 45.3% - 0s
0 0 1.15890 0 34 0.81437 1.15890 42.3% - 0s
0 0 1.12761 0 34 0.81437 1.12761 38.5% - 0s
0 0 1.12681 0 35 0.81437 1.12681 38.4% - 0s
0 0 1.12680 0 35 0.81437 1.12680 38.4% - 0s
0 0 1.12614 0 36 0.81437 1.12614 38.3% - 0s
0 0 1.12614 0 31 0.81437 1.12614 38.3% - 0s
0 2 1.12614 0 31 0.81437 1.12614 38.3% - 0s
* 406 122 39 0.9003108 1.02245 13.6% 9.2 0s
Cutting planes:
Gomory: 17
Cover: 3
Implied bound: 17
Clique: 2
MIR: 8
Flow cover: 32
Inf proof: 9
Explored 1163 nodes (10130 simplex iterations) in 0.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.900311 0.81437
Optimal solution found (tolerance 1.00e-02)
Best objective 9.003108059156e-01, best bound 9.003108059156e-01, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprn8epk7e.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwefspxw1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.827616
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.314438e+00, 335 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31444 0 31 0.82762 1.31444 58.8% - 0s
0 0 1.14401 0 29 0.82762 1.14401 38.2% - 0s
0 0 1.14401 0 29 0.82762 1.14401 38.2% - 0s
0 0 1.11480 0 34 0.82762 1.11480 34.7% - 0s
0 0 1.08713 0 33 0.82762 1.08713 31.4% - 0s
0 0 1.08700 0 33 0.82762 1.08700 31.3% - 0s
0 0 1.08700 0 33 0.82762 1.08700 31.3% - 0s
0 0 1.08519 0 32 0.82762 1.08519 31.1% - 0s
0 0 1.08518 0 32 0.82762 1.08518 31.1% - 0s
0 0 1.08472 0 33 0.82762 1.08472 31.1% - 0s
0 0 1.08472 0 31 0.82762 1.08472 31.1% - 0s
0 2 1.08472 0 31 0.82762 1.08472 31.1% - 0s
* 1091 283 42 0.8418179 0.97784 16.2% 10.0 0s
* 1381 326 38 0.8454771 0.96639 14.3% 9.5 0s
* 1990 274 37 0.8730108 0.93892 7.55% 9.7 1s
Cutting planes:
Gomory: 22
Cover: 20
Implied bound: 35
Clique: 2
MIR: 6
Flow cover: 40
Inf proof: 57
Explored 2953 nodes (28046 simplex iterations) in 1.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.873011 0.845477 0.841818 0.827616
Optimal solution found (tolerance 1.00e-02)
Best objective 8.730107948009e-01, best bound 8.796316924596e-01, gap 0.7584%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp58amhndj.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6f7zz32q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.786546
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.303147e+00, 352 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.30315 0 35 0.78655 1.30315 65.7% - 0s
0 0 1.12346 0 30 0.78655 1.12346 42.8% - 0s
0 0 1.10087 0 48 0.78655 1.10087 40.0% - 0s
0 0 1.08226 0 45 0.78655 1.08226 37.6% - 0s
0 0 1.08223 0 47 0.78655 1.08223 37.6% - 0s
0 0 1.07915 0 34 0.78655 1.07915 37.2% - 0s
0 0 1.07884 0 35 0.78655 1.07884 37.2% - 0s
0 0 1.07884 0 35 0.78655 1.07884 37.2% - 0s
0 0 1.07715 0 40 0.78655 1.07715 36.9% - 0s
0 0 1.07679 0 44 0.78655 1.07679 36.9% - 0s
0 0 1.07679 0 44 0.78655 1.07679 36.9% - 0s
0 0 1.07600 0 53 0.78655 1.07600 36.8% - 0s
0 0 1.07600 0 46 0.78655 1.07600 36.8% - 0s
0 2 1.07600 0 46 0.78655 1.07600 36.8% - 0s
* 1048 284 52 0.8470809 0.96021 13.4% 9.1 0s
* 2334 455 49 0.8551793 0.92874 8.60% 8.7 1s
Cutting planes:
Gomory: 19
Cover: 10
Implied bound: 36
Clique: 2
MIR: 4
Flow cover: 48
Inf proof: 49
Explored 3672 nodes (39299 simplex iterations) in 2.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.855179 0.847081 0.786546
Optimal solution found (tolerance 1.00e-02)
Best objective 8.551793028720e-01, best bound 8.592654951390e-01, gap 0.4778%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi_zbwy40.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm5x05d5p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.792131
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.267323e+00, 387 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26732 0 39 0.79213 1.26732 60.0% - 0s
0 0 1.07790 0 43 0.79213 1.07790 36.1% - 0s
0 0 1.07790 0 43 0.79213 1.07790 36.1% - 0s
0 0 1.06092 0 46 0.79213 1.06092 33.9% - 0s
0 0 1.03862 0 46 0.79213 1.03862 31.1% - 0s
0 0 1.03724 0 46 0.79213 1.03724 30.9% - 0s
0 0 1.03527 0 45 0.79213 1.03527 30.7% - 0s
0 0 1.03478 0 45 0.79213 1.03478 30.6% - 0s
0 0 1.03442 0 48 0.79213 1.03442 30.6% - 0s
0 0 1.03442 0 39 0.79213 1.03442 30.6% - 0s
0 2 1.03442 0 39 0.79213 1.03442 30.6% - 0s
* 1860 560 54 0.7987001 0.90782 13.7% 11.8 3s
* 2759 360 50 0.8073253 0.87942 8.93% 11.7 4s
H 2839 189 0.8282430 0.87099 5.16% 11.7 4s
Cutting planes:
Gomory: 32
Cover: 6
Implied bound: 9
Projected implied bound: 16
MIR: 12
Flow cover: 32
Inf proof: 16
Explored 2967 nodes (35599 simplex iterations) in 4.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.828243 0.807325 0.7987 0.792131
Optimal solution found (tolerance 1.00e-02)
Best objective 8.282429909148e-01, best bound 8.282429909148e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt_cmtn5j.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3gener3l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.7777
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.201802e+00, 418 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20180 0 40 0.77770 1.20180 54.5% - 0s
0 0 1.01293 0 47 0.77770 1.01293 30.2% - 0s
0 0 1.01293 0 47 0.77770 1.01293 30.2% - 0s
0 0 0.99892 0 50 0.77770 0.99892 28.4% - 0s
0 0 0.97827 0 51 0.77770 0.97827 25.8% - 0s
0 0 0.97615 0 50 0.77770 0.97615 25.5% - 0s
0 0 0.97404 0 52 0.77770 0.97404 25.2% - 0s
0 0 0.97403 0 52 0.77770 0.97403 25.2% - 0s
0 0 0.97336 0 52 0.77770 0.97336 25.2% - 0s
0 0 0.97336 0 44 0.77770 0.97336 25.2% - 0s
0 2 0.97336 0 44 0.77770 0.97336 25.2% - 0s
Cutting planes:
Gomory: 22
Cover: 6
Implied bound: 29
Clique: 2
MIR: 10
Flow cover: 47
Inf proof: 26
Explored 3323 nodes (31694 simplex iterations) in 2.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.7777
Optimal solution found (tolerance 1.00e-02)
Best objective 7.777000834939e-01, best bound 7.819478443952e-01, gap 0.5462%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuidmreny.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmz3h5tqk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.731925
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.203531e+00, 439 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20353 0 44 0.73193 1.20353 64.4% - 0s
0 0 1.01686 0 46 0.73193 1.01686 38.9% - 0s
0 0 1.01686 0 46 0.73193 1.01686 38.9% - 0s
0 0 1.00206 0 49 0.73193 1.00206 36.9% - 0s
0 0 0.97762 0 54 0.73193 0.97762 33.6% - 0s
0 0 0.97723 0 53 0.73193 0.97723 33.5% - 0s
0 0 0.97470 0 44 0.73193 0.97470 33.2% - 0s
0 0 0.97446 0 50 0.73193 0.97446 33.1% - 0s
0 0 0.97445 0 49 0.73193 0.97445 33.1% - 0s
0 0 0.97439 0 48 0.73193 0.97439 33.1% - 0s
0 0 0.97439 0 48 0.73193 0.97439 33.1% - 0s
0 2 0.97439 0 48 0.73193 0.97439 33.1% - 0s
* 2312 420 78 0.7432078 0.83622 12.5% 13.8 4s
* 2428 199 65 0.7780252 0.83608 7.46% 13.6 4s
* 3053 113 61 0.7849068 0.80123 2.08% 12.9 4s
3093 39 0.78667 55 10 0.78491 0.79968 1.88% 12.8 5s
Cutting planes:
Gomory: 48
Cover: 2
Implied bound: 9
Projected implied bound: 23
Clique: 1
MIR: 10
Flow cover: 29
Inf proof: 16
Explored 3275 nodes (42126 simplex iterations) in 5.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.784907 0.778025 0.743208 0.731925
Optimal solution found (tolerance 1.00e-02)
Best objective 7.849068041411e-01, best bound 7.865355185967e-01, gap 0.2075%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcuf5q2et.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxsz6x2b2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.773673
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.219376e+00, 451 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21938 0 45 0.77367 1.21938 57.6% - 0s
0 0 1.04995 0 43 0.77367 1.04995 35.7% - 0s
0 0 1.04995 0 43 0.77367 1.04995 35.7% - 0s
0 0 1.03476 0 52 0.77367 1.03476 33.7% - 0s
0 0 1.02704 0 48 0.77367 1.02704 32.7% - 0s
0 0 1.02691 0 51 0.77367 1.02691 32.7% - 0s
0 0 1.02691 0 51 0.77367 1.02691 32.7% - 0s
0 0 1.01314 0 53 0.77367 1.01314 31.0% - 0s
0 0 1.00730 0 61 0.77367 1.00730 30.2% - 0s
0 0 1.00721 0 59 0.77367 1.00721 30.2% - 0s
0 0 1.00716 0 61 0.77367 1.00716 30.2% - 0s
0 0 1.00710 0 60 0.77367 1.00710 30.2% - 0s
0 0 1.00700 0 61 0.77367 1.00700 30.2% - 0s
0 0 1.00700 0 53 0.77367 1.00700 30.2% - 0s
0 2 1.00700 0 53 0.77367 1.00700 30.2% - 0s
2714 601 0.81420 35 49 0.77367 0.91055 17.7% 14.5 5s
H 5101 401 0.7841893 0.82265 4.90% 14.3 8s
Cutting planes:
Gomory: 46
Cover: 8
Implied bound: 16
Projected implied bound: 39
Clique: 1
MIR: 6
Flow cover: 43
Inf proof: 43
Explored 5862 nodes (84134 simplex iterations) in 9.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.784189 0.773673
Optimal solution found (tolerance 1.00e-02)
Best objective 7.841893377667e-01, best bound 7.901673699033e-01, gap 0.7623%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbpq01ce7.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfnujkmt_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.773018
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.232363e+00, 498 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23236 0 46 0.77302 1.23236 59.4% - 0s
0 0 1.03856 0 61 0.77302 1.03856 34.4% - 0s
0 0 1.03856 0 61 0.77302 1.03856 34.4% - 0s
0 0 1.03144 0 63 0.77302 1.03144 33.4% - 0s
0 0 1.03126 0 63 0.77302 1.03126 33.4% - 0s
0 0 1.03014 0 61 0.77302 1.03014 33.3% - 0s
0 0 1.03014 0 61 0.77302 1.03014 33.3% - 0s
0 2 1.03014 0 50 0.77302 1.03014 33.3% - 0s
* 546 281 83 0.7792412 0.97022 24.5% 10.3 0s
3344 447 0.82334 53 36 0.77924 0.85834 10.2% 12.9 5s
H 4373 476 0.7792412 0.83773 7.51% 12.7 6s
Cutting planes:
Gomory: 51
Cover: 2
Implied bound: 17
Projected implied bound: 27
Clique: 1
MIR: 2
Flow cover: 40
Inf proof: 45
Explored 6865 nodes (87219 simplex iterations) in 9.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.779241 0.779241 0.773018
Optimal solution found (tolerance 1.00e-02)
Best objective 7.792411601868e-01, best bound 7.861008896621e-01, gap 0.8803%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp863kg2hq.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgykrz02h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.774573
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.231649e+00, 507 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23165 0 47 0.77457 1.23165 59.0% - 0s
0 0 1.06866 0 51 0.77457 1.06866 38.0% - 0s
0 0 1.03754 0 59 0.77457 1.03754 33.9% - 0s
0 0 1.03626 0 61 0.77457 1.03626 33.8% - 0s
0 0 1.03625 0 62 0.77457 1.03625 33.8% - 0s
0 0 1.03434 0 61 0.77457 1.03434 33.5% - 0s
0 0 1.03401 0 60 0.77457 1.03401 33.5% - 0s
0 0 1.02408 0 64 0.77457 1.02408 32.2% - 0s
0 0 1.02394 0 65 0.77457 1.02394 32.2% - 0s
0 0 1.02185 0 65 0.77457 1.02185 31.9% - 0s
0 0 1.02185 0 65 0.77457 1.02185 31.9% - 0s
0 0 1.02143 0 68 0.77457 1.02143 31.9% - 0s
0 0 1.02143 0 56 0.77457 1.02143 31.9% - 0s
0 2 1.02143 0 53 0.77457 1.02143 31.9% - 0s
H 1721 529 0.7763861 0.93243 20.1% 17.1 4s
* 1838 489 95 0.7798436 0.92142 18.2% 17.0 4s
2120 464 0.85900 34 49 0.77984 0.91186 16.9% 17.4 5s
5503 793 infeasible 37 0.77984 0.83462 7.02% 15.8 10s
* 7126 601 84 0.7821366 0.81577 4.30% 14.9 11s
Cutting planes:
Gomory: 55
Cover: 2
Implied bound: 15
Projected implied bound: 31
Clique: 2
MIR: 6
Flow cover: 52
Inf proof: 58
Explored 9039 nodes (126638 simplex iterations) in 13.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.782137 0.779844 0.776386 0.774573
Optimal solution found (tolerance 1.00e-02)
Best objective 7.821366226137e-01, best bound 7.865928274520e-01, gap 0.5697%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph9gbrfl6.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7treczab.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.777341
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.225940e+00, 545 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22594 0 52 0.77734 1.22594 57.7% - 0s
0 0 1.04211 0 58 0.77734 1.04211 34.1% - 0s
0 0 1.03806 0 65 0.77734 1.03806 33.5% - 0s
0 0 1.03795 0 67 0.77734 1.03795 33.5% - 0s
0 0 1.02876 0 69 0.77734 1.02876 32.3% - 0s
0 0 1.02874 0 68 0.77734 1.02874 32.3% - 0s
0 0 1.02871 0 70 0.77734 1.02871 32.3% - 0s
0 0 1.02871 0 62 0.77734 1.02871 32.3% - 0s
0 2 1.02871 0 59 0.77734 1.02871 32.3% - 0s
2088 512 0.83718 38 61 0.77734 0.90916 17.0% 16.8 5s
H 2282 568 0.7864812 0.90519 15.1% 16.9 5s
4155 659 infeasible 28 0.78648 0.86573 10.1% 18.9 10s
7624 518 cutoff 58 0.78648 0.82045 4.32% 17.3 15s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 22
Projected implied bound: 31
Clique: 2
MIR: 8
Flow cover: 51
Inf proof: 99
Explored 10597 nodes (165297 simplex iterations) in 17.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.786481 0.777341
Optimal solution found (tolerance 1.00e-02)
Best objective 7.864811674500e-01, best bound 7.942755299039e-01, gap 0.9910%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5lrgn8ds.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe1wpj7kb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.790057
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.220187e+00, 555 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22019 0 54 0.79006 1.22019 54.4% - 0s
0 0 1.05984 0 62 0.79006 1.05984 34.1% - 0s
0 0 1.05375 0 59 0.79006 1.05375 33.4% - 0s
0 0 1.04061 0 69 0.79006 1.04061 31.7% - 0s
0 0 1.04061 0 70 0.79006 1.04061 31.7% - 0s
0 0 1.03765 0 73 0.79006 1.03765 31.3% - 0s
0 0 1.03715 0 73 0.79006 1.03715 31.3% - 0s
0 0 1.03715 0 75 0.79006 1.03715 31.3% - 0s
0 0 1.03646 0 73 0.79006 1.03646 31.2% - 0s
0 0 1.03646 0 65 0.79006 1.03646 31.2% - 0s
0 2 1.03646 0 65 0.79006 1.03646 31.2% - 0s
2354 597 0.87370 30 51 0.79006 0.90005 13.9% 17.9 5s
6662 743 infeasible 25 0.79006 0.82698 4.67% 16.6 10s
* 7767 612 90 0.7918183 0.81974 3.53% 16.0 11s
Cutting planes:
Gomory: 56
Cover: 7
Implied bound: 13
Projected implied bound: 27
Clique: 2
MIR: 4
Flow cover: 44
Inf proof: 60
Explored 9538 nodes (142148 simplex iterations) in 13.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.791818 0.790057
Optimal solution found (tolerance 1.00e-02)
Best objective 7.918182504019e-01, best bound 7.976811320676e-01, gap 0.7404%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2v2jqnq6.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfdkgg3u6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.80519
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.218272e+00, 559 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21827 0 54 0.80519 1.21827 51.3% - 0s
0 0 1.04724 0 63 0.80519 1.04724 30.1% - 0s
0 0 1.04721 0 63 0.80519 1.04721 30.1% - 0s
0 0 1.04455 0 70 0.80519 1.04455 29.7% - 0s
0 0 1.04452 0 71 0.80519 1.04452 29.7% - 0s
0 0 1.04262 0 78 0.80519 1.04262 29.5% - 0s
0 0 1.04237 0 77 0.80519 1.04237 29.5% - 0s
0 0 1.04220 0 73 0.80519 1.04220 29.4% - 0s
0 0 1.04125 0 74 0.80519 1.04125 29.3% - 0s
0 0 1.03921 0 73 0.80519 1.03921 29.1% - 0s
0 0 1.03921 0 73 0.80519 1.03921 29.1% - 0s
0 0 1.03921 0 75 0.80519 1.03921 29.1% - 0s
0 0 1.03921 0 58 0.80519 1.03921 29.1% - 0s
0 2 1.03921 0 57 0.80519 1.03921 29.1% - 0s
1653 480 infeasible 19 0.80519 0.92012 14.3% 19.8 5s
H 2354 538 0.8051901 0.90619 12.5% 20.7 6s
3433 585 0.84954 32 60 0.80519 0.88411 9.80% 23.3 10s
5936 330 infeasible 36 0.80519 0.83646 3.88% 22.8 15s
Cutting planes:
Gomory: 67
Cover: 4
Implied bound: 26
Projected implied bound: 38
Clique: 2
MIR: 5
Flow cover: 41
Inf proof: 62
Explored 7220 nodes (149667 simplex iterations) in 16.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.80519 0.80519
Optimal solution found (tolerance 1.00e-02)
Best objective 8.051900504122e-01, best bound 8.121311859698e-01, gap 0.8620%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpovqb8th5.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnomj1xy6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.798473
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.198059e+00, 639 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19806 0 57 0.79847 1.19806 50.0% - 0s
0 0 1.04323 0 63 0.79847 1.04323 30.7% - 0s
0 0 1.04320 0 63 0.79847 1.04320 30.6% - 0s
0 0 1.03179 0 77 0.79847 1.03179 29.2% - 0s
0 0 1.03136 0 77 0.79847 1.03136 29.2% - 0s
0 0 1.03136 0 76 0.79847 1.03136 29.2% - 0s
0 0 1.03070 0 74 0.79847 1.03070 29.1% - 0s
0 0 1.03070 0 62 0.79847 1.03070 29.1% - 0s
0 2 1.03070 0 62 0.79847 1.03070 29.1% - 0s
1780 563 0.87537 35 61 0.79847 0.92894 16.3% 20.3 5s
4453 679 0.83792 38 59 0.79847 0.86962 8.91% 23.2 10s
8260 278 infeasible 41 0.79847 0.81443 2.00% 20.6 15s
Cutting planes:
Gomory: 72
Cover: 4
Implied bound: 10
Projected implied bound: 40
MIR: 7
Flow cover: 44
Inf proof: 55
Explored 8761 nodes (176987 simplex iterations) in 15.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.798473
Optimal solution found (tolerance 1.00e-02)
Best objective 7.984728729049e-01, best bound 8.012188852711e-01, gap 0.3439%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpodezquit.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0sct73z7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.783995
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.166827e+00, 635 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16683 0 59 0.78400 1.16683 48.8% - 0s
0 0 1.02588 0 63 0.78400 1.02588 30.9% - 0s
0 0 1.02586 0 63 0.78400 1.02586 30.9% - 0s
0 0 1.00365 0 80 0.78400 1.00365 28.0% - 0s
0 0 1.00293 0 75 0.78400 1.00293 27.9% - 0s
0 0 1.00293 0 80 0.78400 1.00293 27.9% - 0s
0 0 1.00280 0 82 0.78400 1.00280 27.9% - 0s
0 0 1.00280 0 67 0.78400 1.00280 27.9% - 0s
0 2 1.00280 0 65 0.78400 1.00280 27.9% - 0s
1476 453 0.85727 29 76 0.78400 0.88833 13.3% 21.9 5s
4827 624 cutoff 56 0.78400 0.81783 4.32% 18.4 10s
Cutting planes:
Gomory: 83
Cover: 5
Implied bound: 19
Projected implied bound: 37
Clique: 1
MIR: 10
Flow cover: 44
Inf proof: 58
Explored 8116 nodes (133147 simplex iterations) in 13.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.783995
Optimal solution found (tolerance 1.00e-02)
Best objective 7.839950114984e-01, best bound 7.909718860652e-01, gap 0.8899%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp50fwkknc.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpenn_28vb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.773614
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.158151e+00, 639 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15815 0 61 0.77361 1.15815 49.7% - 0s
0 0 0.99978 0 70 0.77361 0.99978 29.2% - 0s
0 0 0.99976 0 70 0.77361 0.99976 29.2% - 0s
0 0 0.98443 0 83 0.77361 0.98443 27.3% - 0s
0 0 0.98421 0 80 0.77361 0.98421 27.2% - 0s
0 0 0.98418 0 82 0.77361 0.98418 27.2% - 0s
0 0 0.98005 0 85 0.77361 0.98005 26.7% - 0s
0 0 0.98004 0 83 0.77361 0.98004 26.7% - 0s
0 0 0.98004 0 85 0.77361 0.98004 26.7% - 0s
0 0 0.98004 0 68 0.77361 0.98004 26.7% - 0s
0 2 0.98004 0 67 0.77361 0.98004 26.7% - 0s
1561 644 0.78381 30 67 0.77361 0.89513 15.7% 21.1 5s
3711 866 0.83963 29 80 0.77361 0.85755 10.8% 23.2 10s
6354 911 0.79697 43 58 0.77361 0.82988 7.27% 22.8 15s
* 7878 853 103 0.7760194 0.81915 5.56% 22.2 17s
H 8777 821 0.7772613 0.81232 4.51% 21.9 19s
9203 685 infeasible 51 0.77726 0.80747 3.89% 21.7 20s
Cutting planes:
Learned: 1
Gomory: 77
Cover: 2
Implied bound: 18
Projected implied bound: 37
MIR: 9
Flow cover: 55
Inf proof: 96
Explored 11811 nodes (236771 simplex iterations) in 23.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.777261 0.776019 0.773614
Optimal solution found (tolerance 1.00e-02)
Best objective 7.772613249908e-01, best bound 7.835717186280e-01, gap 0.8119%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr1j8odzn.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7_o2hru5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.760907
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.129972e+00, 679 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12997 0 61 0.76091 1.12997 48.5% - 0s
0 0 0.97890 0 75 0.76091 0.97890 28.6% - 0s
0 0 0.97888 0 75 0.76091 0.97888 28.6% - 0s
0 0 0.95833 0 89 0.76091 0.95833 25.9% - 0s
0 0 0.95799 0 89 0.76091 0.95799 25.9% - 0s
0 0 0.95591 0 90 0.76091 0.95591 25.6% - 0s
0 0 0.95590 0 88 0.76091 0.95590 25.6% - 0s
0 0 0.95588 0 89 0.76091 0.95588 25.6% - 0s
0 0 0.95588 0 72 0.76091 0.95588 25.6% - 0s
0 2 0.95588 0 71 0.76091 0.95588 25.6% - 0s
1210 597 0.85637 24 79 0.76091 0.88737 16.6% 19.6 5s
3187 657 cutoff 32 0.76091 0.83534 9.78% 25.1 10s
H 3525 700 0.7609073 0.83245 9.40% 25.3 10s
5295 750 0.79312 32 88 0.76091 0.81449 7.04% 24.5 15s
8186 333 0.77466 54 59 0.76091 0.77683 2.09% 23.2 20s
Cutting planes:
Gomory: 88
Cover: 4
Implied bound: 22
Projected implied bound: 41
Clique: 3
MIR: 6
Flow cover: 38
Inf proof: 69
Explored 9100 nodes (201767 simplex iterations) in 21.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.760907 0.760907
Optimal solution found (tolerance 1.00e-02)
Best objective 7.609072759676e-01, best bound 7.648021314420e-01, gap 0.5119%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps5ot3wfn.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb_bvx6s3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.741408
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.098056e+00, 695 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09806 0 63 0.74141 1.09806 48.1% - 0s
0 0 0.95928 0 80 0.74141 0.95928 29.4% - 0s
0 0 0.95926 0 80 0.74141 0.95926 29.4% - 0s
0 0 0.93633 0 95 0.74141 0.93633 26.3% - 0s
0 0 0.93620 0 93 0.74141 0.93620 26.3% - 0s
0 0 0.93620 0 92 0.74141 0.93620 26.3% - 0s
0 0 0.93389 0 89 0.74141 0.93389 26.0% - 0s
0 0 0.93387 0 87 0.74141 0.93387 26.0% - 0s
0 0 0.93354 0 95 0.74141 0.93354 25.9% - 0s
0 0 0.93354 0 73 0.74141 0.93354 25.9% - 0s
0 2 0.93354 0 73 0.74141 0.93354 25.9% - 0s
969 471 0.81917 51 58 0.74141 0.87356 17.8% 25.4 5s
3016 893 0.79281 32 71 0.74141 0.82641 11.5% 25.4 10s
5366 1350 cutoff 41 0.74141 0.81146 9.45% 25.9 15s
7754 1532 0.74661 42 71 0.74141 0.79960 7.85% 27.1 20s
9927 1534 0.77895 39 73 0.74141 0.78875 6.38% 27.3 25s
12779 1312 infeasible 34 0.74141 0.77258 4.21% 27.1 30s
16147 835 cutoff 58 0.74141 0.75591 1.96% 25.0 35s
Cutting planes:
Learned: 1
Gomory: 88
Cover: 4
Implied bound: 16
Projected implied bound: 43
Clique: 3
MIR: 7
Flow cover: 54
Inf proof: 99
Explored 17318 nodes (420127 simplex iterations) in 36.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.741408
Optimal solution found (tolerance 1.00e-02)
Best objective 7.414083435420e-01, best bound 7.482911896379e-01, gap 0.9283%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2dkcygac.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjbh1d9h2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.732056
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.090914e+00, 715 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09091 0 68 0.73206 1.09091 49.0% - 0s
0 0 0.95912 0 74 0.73206 0.95912 31.0% - 0s
0 0 0.95910 0 74 0.73206 0.95910 31.0% - 0s
0 0 0.94168 0 82 0.73206 0.94168 28.6% - 0s
0 0 0.94156 0 80 0.73206 0.94156 28.6% - 0s
0 0 0.94156 0 79 0.73206 0.94156 28.6% - 0s
0 0 0.93944 0 95 0.73206 0.93944 28.3% - 0s
0 0 0.93944 0 95 0.73206 0.93944 28.3% - 0s
0 0 0.93943 0 96 0.73206 0.93943 28.3% - 0s
0 0 0.93943 0 74 0.73206 0.93943 28.3% - 0s
0 2 0.93943 0 74 0.73206 0.93943 28.3% - 0s
1315 582 0.82399 19 112 0.73206 0.89388 22.1% 23.4 5s
3047 723 0.76714 29 77 0.73206 0.84488 15.4% 27.4 10s
H 4357 954 0.7320559 0.83013 13.4% 28.8 13s
H 4992 1055 0.7320559 0.82463 12.6% 29.2 15s
H 6485 1222 0.7320559 0.81360 11.1% 30.0 19s
6564 1223 0.74345 49 66 0.73206 0.81317 11.1% 30.0 20s
8896 1357 0.75958 56 47 0.73206 0.79960 9.23% 29.3 25s
11472 1260 infeasible 51 0.73206 0.77723 6.17% 28.6 30s
14873 1152 0.74930 58 48 0.73206 0.76047 3.88% 26.0 35s
19544 1583 0.74711 65 58 0.73206 0.74879 2.29% 22.6 40s
*23899 1206 114 0.7320930 0.74246 1.42% 20.5 44s
23919 1167 cutoff 69 0.73209 0.74244 1.41% 20.5 45s
H24943 976 0.7327016 0.74052 1.07% 20.2 46s
Cutting planes:
Learned: 1
Gomory: 92
Cover: 4
Implied bound: 26
Projected implied bound: 43
MIR: 4
Flow cover: 57
Inf proof: 152
Explored 25504 nodes (509774 simplex iterations) in 47.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.732702 0.732093 0.732056 ... 0.732056
Optimal solution found (tolerance 1.00e-02)
Best objective 7.327015522411e-01, best bound 7.393491720867e-01, gap 0.9073%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp78hi6b55.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmoanxbb8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.729273
Presolve removed 536 rows and 348 columns
Presolve time: 0.03s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.087517e+00, 719 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08752 0 73 0.72927 1.08752 49.1% - 0s
0 0 0.96070 0 90 0.72927 0.96070 31.7% - 0s
0 0 0.96034 0 87 0.72927 0.96034 31.7% - 0s
0 0 0.93571 0 105 0.72927 0.93571 28.3% - 0s
0 0 0.93560 0 106 0.72927 0.93560 28.3% - 0s
0 0 0.93536 0 101 0.72927 0.93536 28.3% - 0s
0 0 0.93536 0 79 0.72927 0.93536 28.3% - 0s
0 2 0.93536 0 79 0.72927 0.93536 28.3% - 0s
892 481 cutoff 31 0.72927 0.87151 19.5% 24.7 5s
* 1288 540 159 0.7328114 0.87151 18.9% 24.0 5s
3081 976 0.75838 42 78 0.73281 0.83775 14.3% 25.8 10s
H 5175 1490 0.7328114 0.82425 12.5% 27.6 15s
H 5187 1490 0.7328114 0.82425 12.5% 27.6 15s
7593 1857 infeasible 58 0.73281 0.81278 10.9% 28.1 20s
9656 2125 0.78995 35 100 0.73281 0.80416 9.74% 28.1 25s
12409 2241 0.74981 50 84 0.73281 0.79235 8.12% 28.2 30s
15646 2235 0.77566 44 80 0.73281 0.77820 6.19% 27.9 35s
18188 2449 0.76889 64 55 0.73281 0.76991 5.06% 26.9 40s
20999 2605 0.76161 68 58 0.73281 0.76371 4.22% 25.6 53s
22380 2694 infeasible 69 0.73281 0.76221 4.01% 25.1 55s
25527 2740 cutoff 58 0.73281 0.75615 3.18% 24.5 60s
29034 2625 cutoff 87 0.73281 0.75102 2.48% 23.7 65s
32416 1859 0.74459 75 57 0.73281 0.74499 1.66% 23.1 70s
*34436 1433 137 0.7340536 0.74173 1.05% 22.6 72s
34479 1451 cutoff 74 0.73405 0.74136 0.99% 22.6 76s
H34491 1451 0.7340536 0.74135 0.99% 22.6 76s
Cutting planes:
Gomory: 111
Cover: 9
Implied bound: 28
Projected implied bound: 33
Clique: 1
MIR: 17
Flow cover: 94
Inf proof: 187
Explored 34492 nodes (780349 simplex iterations) in 76.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.734054 0.734054 0.732811 ... 0.729273
Optimal solution found (tolerance 1.00e-02)
Best objective 7.340535707801e-01, best bound 7.413370301077e-01, gap 0.9922%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb7divh3k.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwbglg_7h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.724714
Presolve removed 550 rows and 357 columns
Presolve time: 0.03s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.074491e+00, 746 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07449 0 75 0.72471 1.07449 48.3% - 0s
0 0 0.95459 0 90 0.72471 0.95459 31.7% - 0s
0 0 0.95457 0 90 0.72471 0.95457 31.7% - 0s
0 0 0.93648 0 100 0.72471 0.93648 29.2% - 0s
0 0 0.93648 0 102 0.72471 0.93648 29.2% - 0s
0 0 0.93464 0 99 0.72471 0.93464 29.0% - 0s
0 0 0.93439 0 99 0.72471 0.93439 28.9% - 0s
0 0 0.93437 0 99 0.72471 0.93437 28.9% - 0s
0 0 0.93413 0 103 0.72471 0.93413 28.9% - 0s
0 0 0.93413 0 91 0.72471 0.93413 28.9% - 0s
0 2 0.93413 0 90 0.72471 0.93413 28.9% - 0s
1075 607 0.78599 73 55 0.72471 0.86520 19.4% 24.8 5s
3598 1114 0.74664 51 81 0.72471 0.82433 13.7% 25.1 10s
6341 1827 cutoff 48 0.72471 0.80089 10.5% 24.4 15s
H 7782 2135 0.7247138 0.79455 9.64% 24.3 18s
8591 2202 cutoff 46 0.72471 0.79139 9.20% 24.3 20s
10531 2374 cutoff 50 0.72471 0.78524 8.35% 24.4 25s
13088 2570 0.76000 43 97 0.72471 0.77781 7.33% 24.5 31s
15142 2480 0.75153 65 52 0.72471 0.77097 6.38% 24.9 35s
18020 2483 0.75937 44 66 0.72471 0.76205 5.15% 24.7 40s
H20713 2717 0.7247138 0.75680 4.43% 24.1 44s
20723 2665 0.74040 58 59 0.72471 0.75671 4.42% 24.1 45s
21328 2822 cutoff 68 0.72471 0.75628 4.36% 23.8 55s
24489 2986 cutoff 47 0.72471 0.75177 3.73% 23.3 60s
*28756 3671 112 0.7253171 0.74929 3.31% 22.2 64s
28928 3648 0.73692 61 66 0.72532 0.74899 3.26% 22.2 65s
32415 3645 0.74456 69 65 0.72532 0.74559 2.80% 21.9 70s
*34489 3361 111 0.7270394 0.74400 2.33% 21.8 73s
35400 3269 cutoff 55 0.72704 0.74289 2.18% 21.8 75s
37963 2735 cutoff 70 0.72704 0.74002 1.79% 21.8 80s
40648 1937 0.73537 67 48 0.72704 0.73618 1.26% 21.6 85s
Cutting planes:
Gomory: 97
Cover: 6
Implied bound: 21
Projected implied bound: 36
Clique: 2
MIR: 19
Flow cover: 88
Inf proof: 211
Explored 42273 nodes (908464 simplex iterations) in 87.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.727039 0.725317 0.724714 ... 0.724714
Optimal solution found (tolerance 1.00e-02)
Best objective 7.270393763177e-01, best bound 7.340644582219e-01, gap 0.9663%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpevnetrax.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp56xtlyl7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.728173
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.068987e+00, 816 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06899 0 76 0.72817 1.06899 46.8% - 0s
0 0 0.95420 0 97 0.72817 0.95420 31.0% - 0s
0 0 0.95364 0 99 0.72817 0.95364 31.0% - 0s
0 0 0.93606 0 109 0.72817 0.93606 28.5% - 0s
0 0 0.93606 0 110 0.72817 0.93606 28.5% - 0s
0 0 0.93456 0 104 0.72817 0.93456 28.3% - 0s
0 0 0.93455 0 103 0.72817 0.93455 28.3% - 0s
0 0 0.93452 0 105 0.72817 0.93452 28.3% - 0s
0 0 0.93452 0 90 0.72817 0.93452 28.3% - 0s
0 2 0.93452 0 90 0.72817 0.93452 28.3% - 0s
870 595 0.84183 31 88 0.72817 0.87071 19.6% 21.5 5s
2246 710 cutoff 34 0.72817 0.86839 19.3% 32.6 10s
4162 1032 0.75489 38 79 0.72817 0.83030 14.0% 33.7 15s
6371 1336 cutoff 33 0.72817 0.80314 10.3% 30.6 20s
8618 1545 cutoff 56 0.72817 0.78541 7.86% 28.5 25s
11363 1791 0.76619 39 74 0.72817 0.77020 5.77% 27.1 30s
14061 2154 0.73218 57 53 0.72817 0.76438 4.97% 25.8 35s
17751 2655 0.74096 71 52 0.72817 0.75882 4.21% 24.5 40s
20671 3005 0.75562 67 60 0.72817 0.75586 3.80% 23.7 45s
21116 3046 0.75267 79 49 0.72817 0.75548 3.75% 23.7 53s
22547 3178 infeasible 51 0.72817 0.75426 3.58% 23.4 55s
25043 3306 0.73889 53 68 0.72817 0.75223 3.30% 23.2 60s
27546 3306 0.73508 76 46 0.72817 0.75019 3.02% 23.0 65s
30760 3260 0.74050 66 61 0.72817 0.74741 2.64% 22.8 70s
33737 3006 0.74379 71 44 0.72817 0.74474 2.28% 22.7 75s
36706 2638 0.74074 60 68 0.72817 0.74198 1.90% 22.6 80s
*38578 2306 108 0.7286821 0.74024 1.59% 22.5 83s
38870 2377 0.73839 78 47 0.72868 0.73995 1.55% 22.4 85s
41421 1710 0.73644 77 42 0.72868 0.73674 1.11% 22.1 90s
Cutting planes:
Learned: 1
Gomory: 107
Cover: 5
Implied bound: 32
Projected implied bound: 38
MIR: 20
Flow cover: 96
Inf proof: 220
Explored 42385 nodes (934659 simplex iterations) in 91.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.728682 0.728173
Optimal solution found (tolerance 1.00e-02)
Best objective 7.286820955982e-01, best bound 7.359008688686e-01, gap 0.9907%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiv6m0wng.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeevmggc1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.718618
Presolve removed 578 rows and 375 columns
Presolve time: 0.03s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.044536e+00, 799 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04454 0 76 0.71862 1.04454 45.4% - 0s
0 0 0.94545 0 106 0.71862 0.94545 31.6% - 0s
0 0 0.94543 0 106 0.71862 0.94543 31.6% - 0s
0 0 0.92746 0 106 0.71862 0.92746 29.1% - 0s
0 0 0.92746 0 106 0.71862 0.92746 29.1% - 0s
0 0 0.92378 0 104 0.71862 0.92378 28.5% - 0s
0 0 0.92357 0 106 0.71862 0.92357 28.5% - 0s
0 0 0.92327 0 102 0.71862 0.92327 28.5% - 0s
0 0 0.92327 0 88 0.71862 0.92327 28.5% - 0s
0 2 0.92327 0 88 0.71862 0.92327 28.5% - 0s
785 492 0.86110 26 93 0.71862 0.87294 21.5% 28.0 5s
H 1692 552 0.7196095 0.86220 19.8% 37.6 8s
2142 609 0.79440 39 86 0.71961 0.85390 18.7% 37.9 10s
3132 994 0.81928 33 94 0.71961 0.84294 17.1% 38.7 15s
4859 1432 0.78441 38 96 0.71961 0.82522 14.7% 39.2 20s
6810 1851 cutoff 44 0.71961 0.81210 12.9% 38.2 25s
8484 2090 0.75485 37 82 0.71961 0.80271 11.5% 37.8 30s
10284 2199 cutoff 32 0.71961 0.79473 10.4% 37.8 35s
12415 2362 cutoff 37 0.71961 0.78563 9.17% 37.1 40s
14763 2637 0.73845 47 88 0.71961 0.77722 8.01% 36.2 45s
H14784 2638 0.7196095 0.77722 8.01% 36.2 45s
H14786 2637 0.7199960 0.77722 7.95% 36.2 45s
15721 2599 0.72751 44 72 0.72000 0.77410 7.51% 35.8 50s
18113 2681 0.73941 31 109 0.72000 0.76660 6.47% 34.8 55s
20233 2561 0.73084 40 94 0.72000 0.75996 5.55% 34.3 60s
21124 2598 0.74003 43 67 0.72000 0.75814 5.30% 33.8 71s
22958 2708 cutoff 51 0.72000 0.75456 4.80% 33.0 75s
25267 2883 0.74133 64 52 0.72000 0.75107 4.32% 32.3 80s
28888 3455 0.72697 57 85 0.72000 0.74628 3.65% 30.7 85s
32301 3710 0.74324 72 51 0.72000 0.74324 3.23% 29.6 90s
34748 3442 0.72269 64 78 0.72000 0.73968 2.73% 29.2 95s
36885 3204 cutoff 59 0.72000 0.73665 2.31% 28.9 100s
39439 2758 infeasible 68 0.72000 0.73385 1.92% 28.4 105s
42365 1987 cutoff 73 0.72000 0.72943 1.31% 27.8 110s
*42474 1872 125 0.7208638 0.72943 1.19% 27.8 110s
Cutting planes:
Gomory: 117
Cover: 3
Implied bound: 24
Projected implied bound: 42
Clique: 2
MIR: 16
Flow cover: 94
Inf proof: 199
Explored 43662 nodes (1201293 simplex iterations) in 112.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.720864 0.719996 0.71961 ... 0.718618
Optimal solution found (tolerance 1.00e-02)
Best objective 7.208638263711e-01, best bound 7.277160545959e-01, gap 0.9506%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9zrefswj.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnd2psjli.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.719676
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.036490e+00, 815 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03649 0 75 0.71968 1.03649 44.0% - 0s
0 0 0.93608 0 91 0.71968 0.93608 30.1% - 0s
0 0 0.93606 0 91 0.71968 0.93606 30.1% - 0s
0 0 0.92207 0 103 0.71968 0.92207 28.1% - 0s
0 0 0.92190 0 101 0.71968 0.92190 28.1% - 0s
0 0 0.92047 0 103 0.71968 0.92047 27.9% - 0s
0 0 0.92047 0 104 0.71968 0.92047 27.9% - 0s
0 0 0.92047 0 106 0.71968 0.92047 27.9% - 0s
0 0 0.92047 0 91 0.71968 0.92047 27.9% - 0s
0 2 0.92047 0 90 0.71968 0.92047 27.9% - 0s
814 522 0.82840 22 95 0.71968 0.88426 22.9% 29.0 5s
* 1248 623 179 0.7196813 0.88426 22.9% 30.0 6s
2009 665 cutoff 18 0.71968 0.88426 22.9% 36.8 10s
3075 909 0.75412 47 99 0.71968 0.85525 18.8% 42.1 15s
4785 1470 cutoff 24 0.71968 0.83777 16.4% 39.6 20s
6913 1843 0.81135 32 101 0.71968 0.81855 13.7% 38.4 25s
H 8661 2092 0.7196813 0.80667 12.1% 36.8 30s
10272 2130 0.74780 34 97 0.71968 0.79399 10.3% 36.6 35s
12126 2180 0.72997 42 89 0.71968 0.78392 8.93% 36.2 40s
13942 2240 cutoff 37 0.71968 0.77567 7.78% 35.1 45s
16604 2322 cutoff 34 0.71968 0.76500 6.30% 33.7 50s
18933 2353 0.74819 48 87 0.71968 0.75857 5.40% 32.5 55s
21165 2561 infeasible 48 0.71968 0.75395 4.76% 31.2 68s
21746 2659 0.73750 51 78 0.71968 0.75301 4.63% 30.8 71s
23961 2738 0.74318 46 92 0.71968 0.74909 4.09% 30.1 75s
26674 2747 0.74299 60 71 0.71968 0.74454 3.45% 29.4 80s
29531 2628 cutoff 69 0.71968 0.74105 2.97% 28.7 85s
31987 2359 infeasible 53 0.71968 0.73686 2.39% 28.2 90s
34786 2078 infeasible 72 0.71968 0.73340 1.91% 27.5 95s
37789 1751 0.72913 89 58 0.71968 0.72955 1.37% 26.7 100s
Cutting planes:
Learned: 1
Gomory: 123
Cover: 3
Implied bound: 55
Projected implied bound: 55
Clique: 3
MIR: 8
Flow cover: 126
Inf proof: 214
Explored 40894 nodes (1050407 simplex iterations) in 104.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.719681 0.719681 0.719676
Optimal solution found (tolerance 1.00e-02)
Best objective 7.196813248970e-01, best bound 7.267337451188e-01, gap 0.9799%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdkq8m988.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgpvr3apk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714625
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.029719e+00, 886 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02972 0 77 0.71463 1.02972 44.1% - 0s
0 0 0.94236 0 99 0.71463 0.94236 31.9% - 0s
0 0 0.94235 0 99 0.71463 0.94235 31.9% - 0s
0 0 0.92912 0 107 0.71463 0.92912 30.0% - 0s
0 0 0.92912 0 108 0.71463 0.92912 30.0% - 0s
0 0 0.92619 0 106 0.71463 0.92619 29.6% - 0s
0 0 0.92596 0 105 0.71463 0.92596 29.6% - 0s
0 0 0.92567 0 105 0.71463 0.92567 29.5% - 0s
0 0 0.92567 0 88 0.71463 0.92567 29.5% - 0s
0 2 0.92567 0 88 0.71463 0.92567 29.5% - 0s
1174 610 infeasible 30 0.71463 0.87041 21.8% 29.1 5s
2973 889 cutoff 30 0.71463 0.83922 17.4% 31.6 10s
H 3799 1095 0.7146254 0.82862 16.0% 34.6 14s
3909 1113 0.77590 35 103 0.71463 0.82655 15.7% 34.9 15s
5568 1526 infeasible 34 0.71463 0.81144 13.5% 34.4 20s
6873 1590 0.72650 45 83 0.71463 0.79749 11.6% 36.4 25s
8906 1985 0.72667 37 111 0.71463 0.78842 10.3% 35.2 30s
10822 2283 0.76488 37 93 0.71463 0.78097 9.28% 34.6 35s
13114 2586 cutoff 43 0.71463 0.77281 8.14% 33.6 40s
15820 3052 0.74764 43 99 0.71463 0.76592 7.18% 32.0 45s
17243 3244 cutoff 44 0.71463 0.76292 6.76% 31.3 50s
20952 3856 cutoff 48 0.71463 0.75677 5.90% 29.3 66s
23383 4336 0.71949 78 60 0.71463 0.75424 5.54% 28.6 70s
26686 5072 0.74040 58 74 0.71463 0.75119 5.12% 27.8 75s
29748 5631 infeasible 46 0.71463 0.74854 4.75% 27.3 80s
33459 6530 cutoff 65 0.71463 0.74678 4.50% 26.4 85s
36941 7536 cutoff 54 0.71463 0.74547 4.32% 25.6 90s
40385 8299 cutoff 56 0.71463 0.74408 4.12% 25.1 95s
43575 9025 0.72061 83 46 0.71463 0.74306 3.98% 24.7 100s
47177 9867 0.71907 77 68 0.71463 0.74217 3.85% 24.2 105s
50396 10539 infeasible 53 0.71463 0.74139 3.75% 23.9 110s
53484 11212 cutoff 61 0.71463 0.74048 3.62% 23.7 115s
55619 11497 0.72554 57 100 0.71463 0.73984 3.53% 23.6 120s
57858 11847 infeasible 65 0.71463 0.73924 3.44% 23.5 125s
60929 12275 cutoff 59 0.71463 0.73837 3.32% 23.4 130s
63758 12663 0.73372 63 72 0.71463 0.73766 3.22% 23.3 135s
67327 13387 infeasible 59 0.71463 0.73683 3.11% 23.1 140s
70360 13701 0.72353 60 58 0.71463 0.73608 3.00% 23.0 145s
73683 14118 cutoff 69 0.71463 0.73534 2.90% 22.9 150s
76520 14421 0.73339 57 80 0.71463 0.73477 2.82% 22.9 155s
79698 14950 0.71715 70 69 0.71463 0.73413 2.73% 22.7 160s
83029 15343 0.71746 69 64 0.71463 0.73341 2.63% 22.6 165s
85719 15578 0.73018 64 79 0.71463 0.73283 2.55% 22.5 170s
87689 15842 cutoff 63 0.71463 0.73252 2.50% 22.5 175s
90467 16000 0.72115 84 46 0.71463 0.73191 2.42% 22.4 180s
93482 16300 infeasible 90 0.71463 0.73141 2.35% 22.3 185s
96310 16302 cutoff 99 0.71463 0.73078 2.26% 22.3 190s
99216 16417 cutoff 75 0.71463 0.73027 2.19% 22.2 195s
102129 16476 0.71469 59 87 0.71463 0.72971 2.11% 22.2 200s
104593 16285 0.72646 86 47 0.71463 0.72916 2.03% 22.2 205s
106863 16279 infeasible 62 0.71463 0.72872 1.97% 22.2 210s
109957 16276 cutoff 66 0.71463 0.72815 1.89% 22.2 215s
112303 16060 0.72720 57 80 0.71463 0.72765 1.82% 22.2 220s
115002 15843 infeasible 56 0.71463 0.72714 1.75% 22.2 225s
117543 15682 cutoff 77 0.71463 0.72667 1.69% 22.1 230s
H118780 15579 0.7146541 0.72644 1.65% 22.1 234s
119083 15450 0.72502 56 81 0.71465 0.72635 1.64% 22.1 235s
121023 15103 cutoff 67 0.71465 0.72596 1.58% 22.1 240s
123230 14679 0.72320 53 99 0.71465 0.72552 1.52% 22.1 245s
125382 14136 cutoff 77 0.71465 0.72506 1.46% 22.1 250s
127742 13420 cutoff 52 0.71465 0.72448 1.37% 22.1 255s
130264 12873 cutoff 87 0.71465 0.72398 1.31% 22.1 260s
132559 12395 0.72143 80 68 0.71465 0.72356 1.25% 22.1 265s
135011 11561 0.72090 80 54 0.71465 0.72294 1.16% 22.0 270s
137258 10994 0.71610 71 60 0.71465 0.72242 1.09% 22.0 275s
139583 10198 0.72093 56 96 0.71465 0.72184 1.01% 22.0 280s
Cutting planes:
Gomory: 121
Cover: 4
Implied bound: 49
Projected implied bound: 50
MIR: 23
Flow cover: 123
Inf proof: 381
Explored 139773 nodes (3071874 simplex iterations) in 280.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.714654 0.714625 0.714625
Optimal solution found (tolerance 1.00e-02)
Best objective 7.146541118620e-01, best bound 7.217963387025e-01, gap 0.9994%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdgvc2ybb.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp673zkitv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.713377
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.024686e+00, 878 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02469 0 80 0.71338 1.02469 43.6% - 0s
0 0 0.93518 0 95 0.71338 0.93518 31.1% - 0s
0 0 0.93516 0 95 0.71338 0.93516 31.1% - 0s
0 0 0.92122 0 109 0.71338 0.92122 29.1% - 0s
0 0 0.92103 0 109 0.71338 0.92103 29.1% - 0s
0 0 0.91740 0 115 0.71338 0.91740 28.6% - 0s
0 0 0.91739 0 115 0.71338 0.91739 28.6% - 0s
0 0 0.91739 0 115 0.71338 0.91739 28.6% - 0s
0 0 0.91739 0 95 0.71338 0.91739 28.6% - 0s
0 2 0.91739 0 95 0.71338 0.91739 28.6% - 0s
751 528 0.87762 10 96 0.71338 0.87762 23.0% 27.9 5s
2055 760 0.81366 27 99 0.71338 0.86301 21.0% 34.7 10s
3745 1393 0.74532 29 108 0.71338 0.83837 17.5% 36.5 15s
5114 1724 0.78466 31 109 0.71338 0.82745 16.0% 39.6 20s
6494 1983 0.77722 25 99 0.71338 0.81955 14.9% 40.9 25s
8185 2151 0.77234 37 88 0.71338 0.80917 13.4% 41.6 30s
9563 2391 infeasible 33 0.71338 0.80242 12.5% 41.3 35s
11386 2668 cutoff 27 0.71338 0.79662 11.7% 40.3 40s
13319 3154 infeasible 40 0.71338 0.79001 10.7% 39.3 45s
14802 3286 cutoff 36 0.71338 0.78577 10.1% 39.1 50s
16538 3496 0.77633 33 108 0.71338 0.78130 9.52% 38.4 55s
19250 4006 infeasible 36 0.71338 0.77642 8.84% 36.8 60s
21841 4495 0.73182 27 107 0.71338 0.77270 8.32% 35.7 75s
23833 4714 0.72677 35 102 0.71338 0.76890 7.78% 35.3 80s
25750 4896 cutoff 44 0.71338 0.76554 7.31% 35.2 85s
27639 5176 cutoff 34 0.71338 0.76308 6.97% 34.9 90s
30108 5423 infeasible 35 0.71338 0.75987 6.52% 34.6 95s
32070 5423 0.73958 46 102 0.71338 0.75670 6.07% 34.6 100s
34152 5544 0.71951 42 89 0.71338 0.75367 5.65% 34.5 105s
36290 5811 0.73848 67 62 0.71338 0.75107 5.28% 34.2 110s
38420 6017 cutoff 52 0.71338 0.74883 4.97% 33.9 115s
41002 6291 0.73987 47 87 0.71338 0.74657 4.65% 33.5 120s
43571 6871 0.73364 44 69 0.71338 0.74502 4.44% 33.0 126s
44898 6998 0.74056 38 88 0.71338 0.74418 4.32% 32.7 130s
47444 7411 0.72695 42 94 0.71338 0.74271 4.11% 32.2 135s
50787 7989 0.72780 57 71 0.71338 0.74108 3.88% 31.5 140s
53776 8495 0.73222 59 84 0.71338 0.74001 3.73% 31.0 145s
56645 8860 infeasible 79 0.71338 0.73884 3.57% 30.6 150s
59447 9128 cutoff 62 0.71338 0.73782 3.43% 30.3 155s
61910 9374 0.71436 60 69 0.71338 0.73698 3.31% 30.1 160s
64708 9455 cutoff 51 0.71338 0.73591 3.16% 29.9 165s
67182 9503 cutoff 66 0.71338 0.73503 3.04% 29.7 170s
69504 9544 0.72748 58 91 0.71338 0.73421 2.92% 29.5 175s
72097 9461 0.73262 76 65 0.71338 0.73316 2.77% 29.4 180s
74350 9314 0.72255 55 80 0.71338 0.73220 2.64% 29.3 185s
75752 9198 0.71593 80 47 0.71338 0.73162 2.56% 29.3 190s
77860 8948 cutoff 55 0.71338 0.73074 2.43% 29.2 195s
80258 8607 cutoff 36 0.71338 0.72968 2.29% 29.1 200s
82133 8242 infeasible 53 0.71338 0.72878 2.16% 29.1 205s
84056 7839 cutoff 50 0.71338 0.72773 2.01% 29.1 210s
86219 7292 cutoff 51 0.71338 0.72654 1.85% 29.1 215s
88532 6694 cutoff 59 0.71338 0.72535 1.68% 29.1 220s
90694 6116 cutoff 49 0.71338 0.72416 1.51% 29.0 225s
92867 5538 0.71957 50 93 0.71338 0.72315 1.37% 28.8 230s
95428 4553 0.71853 87 66 0.71338 0.72158 1.15% 28.6 235s
Cutting planes:
Gomory: 126
Cover: 4
Implied bound: 68
Projected implied bound: 57
MIR: 16
Flow cover: 137
Inf proof: 319
Explored 97221 nodes (2772633 simplex iterations) in 238.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.713377
Optimal solution found (tolerance 1.00e-02)
Best objective 7.133770473658e-01, best bound 7.204899156243e-01, gap 0.9971%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6sr1so6t.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0uwwp6mq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.705161
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.021032e+00, 903 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02103 0 81 0.70516 1.02103 44.8% - 0s
0 0 0.93150 0 105 0.70516 0.93150 32.1% - 0s
0 0 0.93149 0 105 0.70516 0.93149 32.1% - 0s
0 0 0.91484 0 106 0.70516 0.91484 29.7% - 0s
0 0 0.91484 0 107 0.70516 0.91484 29.7% - 0s
0 0 0.91325 0 114 0.70516 0.91325 29.5% - 0s
0 0 0.91310 0 113 0.70516 0.91310 29.5% - 0s
0 0 0.91279 0 116 0.70516 0.91279 29.4% - 0s
0 0 0.91279 0 95 0.70516 0.91279 29.4% - 0s
0 2 0.91279 0 94 0.70516 0.91279 29.4% - 0s
760 553 0.82648 17 129 0.70516 0.87864 24.6% 26.0 5s
1805 766 0.70539 65 95 0.70516 0.84242 19.5% 31.5 10s
H 2905 1062 0.7062381 0.82807 17.3% 32.1 13s
3262 1223 0.71938 53 89 0.70624 0.82566 16.9% 32.6 15s
4163 1562 cutoff 44 0.70624 0.81890 16.0% 33.3 20s
5911 2134 0.79162 36 107 0.70624 0.80947 14.6% 35.1 25s
7278 2496 0.78611 37 107 0.70624 0.80485 14.0% 36.4 30s
8649 2884 0.74362 34 109 0.70624 0.80083 13.4% 36.7 35s
10006 3206 0.71238 42 113 0.70624 0.79772 13.0% 37.2 40s
11315 3435 0.73658 33 104 0.70624 0.79477 12.5% 37.6 45s
12684 3677 infeasible 39 0.70624 0.79117 12.0% 37.8 50s
13937 3764 cutoff 45 0.70624 0.78843 11.6% 38.5 55s
15338 3968 0.73366 26 115 0.70624 0.78652 11.4% 38.8 60s
H15772 4064 0.7062705 0.78557 11.2% 38.8 62s
16125 4103 infeasible 45 0.70627 0.78485 11.1% 38.9 67s
16430 4105 0.74949 39 107 0.70627 0.78416 11.0% 39.0 70s
17760 4244 0.70928 49 99 0.70627 0.78143 10.6% 39.4 75s
19331 4314 0.77226 37 121 0.70627 0.77846 10.2% 39.9 80s
20544 4371 infeasible 32 0.70627 0.77665 10.0% 40.5 96s
21650 4394 0.73672 33 121 0.70627 0.77421 9.62% 41.1 100s
22593 4420 0.74669 32 147 0.70627 0.77257 9.39% 41.8 105s
23864 4386 infeasible 34 0.70627 0.76957 8.96% 42.8 111s
24742 4351 infeasible 29 0.70627 0.76745 8.66% 43.5 115s
25805 4378 cutoff 41 0.70627 0.76553 8.39% 43.9 120s
27378 4413 cutoff 38 0.70627 0.76249 7.96% 44.5 125s
28534 4384 0.71781 36 120 0.70627 0.76017 7.63% 44.9 130s
29909 4457 0.72349 34 132 0.70627 0.75827 7.36% 44.9 135s
31631 4468 0.74198 54 74 0.70627 0.75497 6.89% 45.1 140s
32953 4566 0.73734 39 113 0.70627 0.75293 6.61% 45.0 145s
34484 4541 0.73040 73 73 0.70627 0.75005 6.20% 45.2 151s
35862 4642 0.72996 42 112 0.70627 0.74801 5.91% 44.9 155s
37839 4844 infeasible 57 0.70627 0.74530 5.53% 44.4 160s
39982 5079 0.74201 49 90 0.70627 0.74301 5.20% 43.7 165s
42102 5393 0.73568 43 103 0.70627 0.74140 4.97% 43.0 170s
44332 5780 0.72775 56 82 0.70627 0.73972 4.74% 42.3 175s
47134 6206 cutoff 37 0.70627 0.73812 4.51% 41.4 180s
49294 6333 infeasible 33 0.70627 0.73637 4.26% 40.9 185s
51421 6527 0.73424 54 85 0.70627 0.73525 4.10% 40.5 190s
53768 6732 cutoff 42 0.70627 0.73385 3.90% 39.9 195s
55886 6906 0.71266 53 100 0.70627 0.73267 3.74% 39.6 200s
58315 7172 0.71202 34 132 0.70627 0.73175 3.61% 39.0 205s
61377 7644 0.71679 71 78 0.70627 0.73086 3.48% 38.2 210s
63835 8110 0.72777 62 87 0.70627 0.73007 3.37% 37.6 215s
66641 8379 0.70890 63 76 0.70627 0.72923 3.25% 36.9 220s
68801 8537 infeasible 59 0.70627 0.72852 3.15% 36.5 226s
69928 8585 0.71379 56 87 0.70627 0.72812 3.09% 36.3 230s
72528 8850 0.70841 79 51 0.70627 0.72738 2.99% 35.8 235s
74543 9023 cutoff 59 0.70627 0.72680 2.91% 35.5 240s
77252 9256 cutoff 53 0.70627 0.72602 2.80% 35.1 245s
80074 9515 cutoff 66 0.70627 0.72523 2.68% 34.6 250s
83088 9872 0.71449 79 81 0.70627 0.72459 2.59% 34.0 255s
85656 10161 cutoff 96 0.70627 0.72390 2.50% 33.7 260s
88853 10627 0.70949 85 66 0.70627 0.72321 2.40% 33.1 265s
91849 11161 cutoff 53 0.70627 0.72272 2.33% 32.6 270s
95141 11759 0.70859 40 117 0.70627 0.72210 2.24% 32.1 275s
98601 12635 0.71054 40 130 0.70627 0.72164 2.18% 31.5 280s
101681 12993 cutoff 82 0.70627 0.72116 2.11% 31.1 285s
104613 13292 0.71499 56 87 0.70627 0.72060 2.03% 30.7 290s
107398 13484 0.71793 37 126 0.70627 0.72005 1.95% 30.4 295s
111122 13919 cutoff 36 0.70627 0.71951 1.88% 30.0 300s
114401 14330 0.71517 41 114 0.70627 0.71911 1.82% 29.6 305s
116021 14529 cutoff 55 0.70627 0.71886 1.78% 29.4 310s
119350 14768 0.70929 88 52 0.70627 0.71838 1.71% 29.1 315s
122540 14900 0.71636 82 52 0.70627 0.71797 1.66% 28.8 320s
125096 14691 cutoff 91 0.70627 0.71750 1.59% 28.6 325s
127593 14490 cutoff 70 0.70627 0.71708 1.53% 28.5 330s
129944 14019 0.71564 84 57 0.70627 0.71653 1.45% 28.4 335s
131992 13683 cutoff 102 0.70627 0.71607 1.39% 28.3 340s
133925 13283 0.71532 67 93 0.70627 0.71561 1.32% 28.3 345s
136125 12823 0.71302 95 47 0.70627 0.71511 1.25% 28.2 350s
137892 12490 cutoff 63 0.70627 0.71470 1.19% 28.1 355s
139855 11982 cutoff 78 0.70627 0.71422 1.13% 28.1 360s
142222 11541 cutoff 78 0.70627 0.71375 1.06% 27.9 365s
Cutting planes:
Learned: 1
Gomory: 134
Cover: 4
Implied bound: 73
Projected implied bound: 60
Clique: 3
MIR: 25
Flow cover: 136
Inf proof: 404
Explored 144774 nodes (4025543 simplex iterations) in 369.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.70627 0.706238 0.705161
Optimal solution found (tolerance 1.00e-02)
Best objective 7.062704710294e-01, best bound 7.132674083376e-01, gap 0.9907%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprfpbwe00.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwk9ei41t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.698229
Presolve removed 648 rows and 420 columns
Presolve time: 0.02s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.006893e+00, 904 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00689 0 84 0.69823 1.00689 44.2% - 0s
0 0 0.91984 0 112 0.69823 0.91984 31.7% - 0s
0 0 0.91982 0 112 0.69823 0.91982 31.7% - 0s
0 0 0.90090 0 120 0.69823 0.90090 29.0% - 0s
0 0 0.90074 0 118 0.69823 0.90074 29.0% - 0s
0 0 0.90019 0 127 0.69823 0.90019 28.9% - 0s
0 0 0.90019 0 129 0.69823 0.90019 28.9% - 0s
0 0 0.90001 0 132 0.69823 0.90001 28.9% - 0s
0 0 0.90001 0 132 0.69823 0.90001 28.9% - 0s
0 2 0.90001 0 132 0.69823 0.90001 28.9% - 0s
743 575 0.86700 16 134 0.69823 0.86700 24.2% 25.7 5s
1930 843 0.78531 28 118 0.69823 0.84371 20.8% 33.2 10s
3403 1147 0.73190 41 106 0.69823 0.81850 17.2% 36.7 15s
4793 1597 0.75942 36 113 0.69823 0.80846 15.8% 37.6 20s
H 6049 2064 0.6982368 0.80322 15.0% 37.0 24s
H 6051 2064 0.6983631 0.80322 15.0% 37.0 24s
6091 2069 0.73641 36 97 0.69836 0.80307 15.0% 37.1 25s
7675 2540 cutoff 36 0.69836 0.79439 13.8% 36.5 30s
9512 3056 0.73841 30 113 0.69836 0.78708 12.7% 36.3 35s
11369 3530 0.73169 28 113 0.69836 0.78157 11.9% 36.9 40s
12960 3932 0.72039 40 103 0.69836 0.77730 11.3% 37.1 45s
14243 4232 0.73551 32 117 0.69836 0.77505 11.0% 37.1 50s
15784 4465 0.74775 34 116 0.69836 0.77159 10.5% 37.8 55s
17568 4694 infeasible 40 0.69836 0.76874 10.1% 38.2 60s
19116 5001 infeasible 38 0.69836 0.76625 9.72% 38.4 65s
H19117 5001 0.6983631 0.76625 9.72% 38.4 65s
H19126 5001 0.6983631 0.76625 9.72% 38.4 65s
H19130 5001 0.6983631 0.76623 9.72% 38.4 66s
19495 4998 0.74781 31 118 0.69836 0.76545 9.61% 38.4 70s
20523 5035 cutoff 39 0.69836 0.76363 9.35% 38.8 85s
21790 5198 infeasible 50 0.69836 0.76149 9.04% 39.2 90s
23006 5293 0.74621 59 101 0.69836 0.75922 8.71% 39.9 95s
23958 5344 cutoff 51 0.69836 0.75759 8.48% 40.4 100s
25472 5516 cutoff 33 0.69836 0.75506 8.12% 40.6 105s
26810 5595 0.73061 44 111 0.69836 0.75239 7.74% 41.0 110s
27926 5641 cutoff 42 0.69836 0.75089 7.52% 41.3 115s
29454 5724 infeasible 40 0.69836 0.74854 7.18% 41.5 120s
31013 5845 0.70838 22 161 0.69836 0.74619 6.85% 41.8 125s
32220 5930 infeasible 107 0.69836 0.74436 6.59% 41.8 130s
33909 6023 0.71919 40 136 0.69836 0.74222 6.28% 41.9 135s
35125 6084 cutoff 61 0.69836 0.74075 6.07% 42.0 140s
37074 6364 cutoff 116 0.69836 0.73912 5.84% 41.7 145s
38890 6506 0.72788 35 137 0.69836 0.73742 5.59% 41.5 150s
40911 6728 0.70909 73 84 0.69836 0.73574 5.35% 41.2 156s
42456 6873 0.71604 50 113 0.69836 0.73469 5.20% 41.0 160s
44215 6990 infeasible 26 0.69836 0.73334 5.01% 40.7 165s
46055 7124 cutoff 38 0.69836 0.73203 4.82% 40.5 170s
48301 7212 0.70553 45 126 0.69836 0.73082 4.65% 40.1 175s
50233 7295 0.71645 65 89 0.69836 0.72947 4.45% 39.8 180s
52134 7349 0.70796 49 92 0.69836 0.72856 4.32% 39.5 185s
53978 7399 0.70522 33 126 0.69836 0.72734 4.15% 39.2 190s
56103 7411 0.70168 80 79 0.69836 0.72617 3.98% 38.9 195s
57799 7440 infeasible 52 0.69836 0.72520 3.84% 38.7 200s
59550 7382 cutoff 55 0.69836 0.72406 3.68% 38.5 205s
61336 7478 0.72215 83 89 0.69836 0.72311 3.54% 38.2 210s
63460 7402 0.72004 71 79 0.69836 0.72195 3.38% 37.9 215s
65236 7385 cutoff 42 0.69836 0.72105 3.25% 37.6 220s
67376 7487 0.70149 42 102 0.69836 0.72014 3.12% 37.3 225s
69389 7454 0.71778 69 82 0.69836 0.71910 2.97% 37.0 230s
71361 7353 cutoff 49 0.69836 0.71808 2.82% 36.8 235s
73603 7481 0.71064 72 84 0.69836 0.71724 2.70% 36.5 240s
75773 7565 cutoff 55 0.69836 0.71641 2.58% 36.2 245s
78566 7871 cutoff 82 0.69836 0.71542 2.44% 35.7 250s
80871 8056 0.71100 39 120 0.69836 0.71469 2.34% 35.4 255s
83348 8474 cutoff 94 0.69836 0.71403 2.24% 35.0 260s
85323 8726 0.70852 91 68 0.69836 0.71360 2.18% 34.6 265s
88301 9150 infeasible 45 0.69836 0.71295 2.09% 34.1 270s
91271 9707 0.69988 94 51 0.69836 0.71257 2.03% 33.6 275s
94157 10042 0.69941 103 52 0.69836 0.71192 1.94% 33.2 280s
97225 10342 0.70829 76 95 0.69836 0.71136 1.86% 32.8 285s
99316 10464 0.71045 68 99 0.69836 0.71096 1.80% 32.6 290s
101896 10630 0.70386 90 62 0.69836 0.71052 1.74% 32.2 295s
104485 10691 0.70234 102 56 0.69836 0.71010 1.68% 31.9 300s
106962 10670 0.70157 148 40 0.69836 0.70967 1.62% 31.7 305s
109386 10587 infeasible 62 0.69836 0.70918 1.55% 31.5 310s
111719 10374 0.70870 79 85 0.69836 0.70870 1.48% 31.4 315s
114285 10103 infeasible 96 0.69836 0.70820 1.41% 31.2 320s
115342 9994 cutoff 95 0.69836 0.70796 1.37% 31.1 325s
117866 9711 0.70701 84 63 0.69836 0.70742 1.30% 31.0 330s
120194 9362 0.70340 106 63 0.69836 0.70682 1.21% 30.8 335s
122483 8929 0.70303 72 85 0.69836 0.70617 1.12% 30.7 340s
124350 8500 infeasible 32 0.69836 0.70565 1.04% 30.6 345s
Cutting planes:
Learned: 1
Gomory: 153
Cover: 4
Implied bound: 83
Projected implied bound: 63
MIR: 32
StrongCG: 1
Flow cover: 170
Inf proof: 392
Explored 125645 nodes (3836188 simplex iterations) in 347.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.698363 0.698363 0.698363 ... 0.698229
Optimal solution found (tolerance 1.00e-02)
Best objective 6.983630577045e-01, best bound 7.053201926428e-01, gap 0.9962%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxtrd4zvy.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4wz8r2jz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.693863
Presolve removed 662 rows and 429 columns
Presolve time: 0.04s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 9.982177e-01, 898 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99822 0 86 0.69386 0.99822 43.9% - 0s
0 0 0.91428 0 120 0.69386 0.91428 31.8% - 0s
0 0 0.91373 0 120 0.69386 0.91373 31.7% - 0s
0 0 0.89697 0 128 0.69386 0.89697 29.3% - 0s
0 0 0.89693 0 127 0.69386 0.89693 29.3% - 0s
0 0 0.89602 0 129 0.69386 0.89602 29.1% - 0s
0 0 0.89585 0 131 0.69386 0.89585 29.1% - 0s
0 0 0.89558 0 134 0.69386 0.89558 29.1% - 0s
0 0 0.89558 0 108 0.69386 0.89558 29.1% - 0s
0 2 0.89558 0 106 0.69386 0.89558 29.1% - 0s
748 538 0.78148 10 128 0.69386 0.85091 22.6% 29.0 5s
1491 539 0.81266 21 114 0.69386 0.83047 19.7% 40.3 10s
3179 977 0.76746 39 131 0.69386 0.80786 16.4% 36.7 15s
5011 1752 infeasible 29 0.69386 0.79971 15.3% 34.9 20s
6634 2225 cutoff 50 0.69386 0.79279 14.3% 35.2 25s
8879 2900 0.72996 31 120 0.69386 0.78394 13.0% 34.3 30s
10551 3310 0.74105 35 121 0.69386 0.77936 12.3% 34.6 35s
12100 3683 0.74030 35 120 0.69386 0.77632 11.9% 34.3 40s
H12977 3966 0.6938627 0.77431 11.6% 34.5 42s
H13039 3981 0.6938627 0.77431 11.6% 34.5 42s
13564 4040 0.75063 41 126 0.69386 0.77307 11.4% 34.6 46s
14462 4233 0.75407 31 131 0.69386 0.77151 11.2% 34.7 50s
16208 4418 0.70749 49 127 0.69386 0.76772 10.6% 35.2 55s
17883 4619 0.70517 43 116 0.69386 0.76469 10.2% 35.7 60s
19460 4780 0.70219 36 120 0.69386 0.76182 9.79% 35.8 65s
20778 4907 cutoff 37 0.69386 0.75995 9.52% 35.7 80s
22517 5192 0.74814 34 136 0.69386 0.75737 9.15% 35.3 85s
24628 5383 cutoff 40 0.69386 0.75468 8.76% 35.1 90s
26153 5481 0.70686 39 108 0.69386 0.75230 8.42% 35.3 95s
28072 5622 0.71140 49 118 0.69386 0.74931 7.99% 35.3 100s
29819 5736 0.71280 35 133 0.69386 0.74631 7.56% 35.4 105s
31328 5848 infeasible 35 0.69386 0.74452 7.30% 35.4 110s
33233 5976 0.70109 48 128 0.69386 0.74233 6.99% 35.4 115s
34884 6116 0.72754 33 133 0.69386 0.74046 6.72% 35.3 120s
36340 6122 0.70821 37 128 0.69386 0.73874 6.47% 35.4 125s
37955 6178 0.72814 44 133 0.69386 0.73696 6.21% 35.3 130s
40511 6622 cutoff 43 0.69386 0.73502 5.93% 34.8 135s
42215 6824 0.73205 69 107 0.69386 0.73361 5.73% 34.6 140s
44503 7202 cutoff 42 0.69386 0.73235 5.55% 34.3 145s
46123 7443 cutoff 49 0.69386 0.73144 5.41% 34.2 150s
48329 7741 0.69884 34 144 0.69386 0.73009 5.22% 34.0 155s
50413 8006 cutoff 39 0.69386 0.72885 5.04% 33.9 160s
52239 8122 infeasible 43 0.69386 0.72778 4.89% 33.9 165s
53751 8263 0.69501 77 101 0.69386 0.72693 4.77% 33.9 170s
55909 8431 0.70174 54 93 0.69386 0.72592 4.62% 33.8 175s
57346 8576 0.72474 58 93 0.69386 0.72531 4.53% 33.8 180s
58869 8652 infeasible 43 0.69386 0.72459 4.43% 33.8 185s
60775 8726 0.70579 71 110 0.69386 0.72367 4.30% 33.9 190s
62377 8850 cutoff 74 0.69386 0.72290 4.19% 33.9 195s
63737 8931 0.71226 48 126 0.69386 0.72239 4.11% 33.9 200s
65631 8989 cutoff 41 0.69386 0.72166 4.01% 33.9 205s
67148 9082 cutoff 82 0.69386 0.72112 3.93% 33.9 210s
68690 9172 cutoff 40 0.69386 0.72055 3.85% 33.9 215s
70334 9283 0.71704 54 115 0.69386 0.71996 3.76% 33.9 220s
72406 9407 infeasible 53 0.69386 0.71918 3.65% 33.9 225s
74059 9418 0.70915 58 94 0.69386 0.71853 3.56% 34.0 230s
75666 9452 0.69971 50 110 0.69386 0.71787 3.46% 34.0 235s
76956 9578 cutoff 53 0.69386 0.71741 3.39% 33.9 240s
78638 9666 infeasible 46 0.69386 0.71696 3.33% 33.8 245s
80267 9705 cutoff 41 0.69386 0.71637 3.24% 33.8 250s
81959 9719 cutoff 78 0.69386 0.71583 3.17% 33.8 255s
83712 9755 0.70136 82 88 0.69386 0.71529 3.09% 33.7 260s
85431 9774 0.71176 34 145 0.69386 0.71483 3.02% 33.6 265s
87486 9752 0.71258 41 124 0.69386 0.71418 2.93% 33.6 270s
89260 9797 cutoff 53 0.69386 0.71368 2.86% 33.6 275s
90828 9775 cutoff 55 0.69386 0.71317 2.78% 33.6 280s
92512 9739 0.70565 56 111 0.69386 0.71273 2.72% 33.6 285s
94224 9715 cutoff 72 0.69386 0.71235 2.66% 33.5 290s
96066 9709 0.70188 83 95 0.69386 0.71185 2.59% 33.5 295s
97819 9682 0.70843 48 131 0.69386 0.71143 2.53% 33.4 300s
99500 9682 infeasible 49 0.69386 0.71099 2.47% 33.4 305s
101642 9703 0.70770 89 83 0.69386 0.71051 2.40% 33.4 311s
102702 9653 cutoff 48 0.69386 0.71029 2.37% 33.3 315s
104757 9532 0.70126 58 129 0.69386 0.70971 2.28% 33.3 320s
106290 9436 0.69654 45 150 0.69386 0.70930 2.22% 33.3 325s
108002 9344 cutoff 49 0.69386 0.70884 2.16% 33.3 330s
109905 9171 0.69469 50 125 0.69386 0.70827 2.08% 33.3 335s
111843 8966 cutoff 66 0.69386 0.70777 2.00% 33.3 340s
113339 8791 cutoff 53 0.69386 0.70733 1.94% 33.3 345s
114967 8611 0.70685 51 108 0.69386 0.70695 1.89% 33.3 350s
116124 8573 cutoff 59 0.69386 0.70665 1.84% 33.2 355s
117911 8302 0.70567 49 136 0.69386 0.70619 1.78% 33.2 360s
119574 8065 0.70510 70 93 0.69386 0.70571 1.71% 33.2 365s
121372 7800 0.70021 50 107 0.69386 0.70515 1.63% 33.1 370s
123332 7566 cutoff 66 0.69386 0.70465 1.55% 33.0 375s
125239 7214 cutoff 64 0.69386 0.70408 1.47% 33.0 380s
127132 6903 0.70341 87 77 0.69386 0.70348 1.39% 32.9 385s
129095 6482 cutoff 93 0.69386 0.70290 1.30% 32.9 390s
130654 6094 0.70090 58 87 0.69386 0.70234 1.22% 32.8 395s
132900 5609 cutoff 35 0.69386 0.70154 1.11% 32.8 400s
Cutting planes:
Gomory: 152
Cover: 5
Implied bound: 61
Projected implied bound: 52
MIR: 25
Flow cover: 137
Inf proof: 399
Mod-K: 1
Explored 135030 nodes (4410778 simplex iterations) in 405.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.693863 0.693863 0.693863
Optimal solution found (tolerance 1.00e-02)
Best objective 6.938627054334e-01, best bound 7.007798330645e-01, gap 0.9969%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4hmqc4ds.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkkuosz64.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.691198
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 9.885116e-01, 994 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98851 0 89 0.69120 0.98851 43.0% - 0s
0 0 0.90790 0 107 0.69120 0.90790 31.4% - 0s
0 0 0.90779 0 107 0.69120 0.90779 31.3% - 0s
0 0 0.89560 0 119 0.69120 0.89560 29.6% - 0s
0 0 0.89551 0 115 0.69120 0.89551 29.6% - 0s
0 0 0.89402 0 113 0.69120 0.89402 29.3% - 0s
0 0 0.89391 0 117 0.69120 0.89391 29.3% - 0s
0 0 0.89365 0 115 0.69120 0.89365 29.3% - 0s
0 0 0.89365 0 104 0.69120 0.89365 29.3% - 0s
0 2 0.89365 0 103 0.69120 0.89365 29.3% - 0s
755 537 0.84420 16 122 0.69120 0.84420 22.1% 29.4 5s
1692 776 0.72486 58 103 0.69120 0.82172 18.9% 34.6 10s
2628 883 0.78018 38 106 0.69120 0.80356 16.3% 37.3 15s
4140 1312 infeasible 47 0.69120 0.78843 14.1% 39.5 20s
5601 1599 0.74500 37 110 0.69120 0.77850 12.6% 39.9 25s
7095 1904 0.75914 42 116 0.69120 0.77011 11.4% 40.6 30s
8235 2162 0.70629 45 115 0.69120 0.76474 10.6% 40.3 35s
9918 2565 0.72758 45 115 0.69120 0.76028 10.0% 39.6 40s
11865 3052 cutoff 53 0.69120 0.75589 9.36% 38.3 45s
H12929 3382 0.6911980 0.75393 9.08% 37.9 48s
12963 3392 0.70466 45 107 0.69120 0.75393 9.08% 37.9 50s
H12964 3392 0.6911980 0.75393 9.08% 37.9 50s
14202 3553 cutoff 50 0.69120 0.75100 8.65% 37.6 55s
15733 3766 0.74161 42 119 0.69120 0.74834 8.27% 37.5 60s
17690 4019 0.69428 53 85 0.69120 0.74480 7.75% 36.8 65s
19560 4246 0.71544 46 94 0.69120 0.74179 7.32% 36.5 70s
21119 4423 0.72625 44 107 0.69120 0.73954 6.99% 36.1 86s
22564 4450 cutoff 43 0.69120 0.73710 6.64% 36.4 90s
24052 4541 cutoff 45 0.69120 0.73465 6.29% 36.6 95s
25590 4669 infeasible 48 0.69120 0.73260 5.99% 36.7 100s
28058 5085 infeasible 51 0.69120 0.73084 5.73% 36.2 105s
29884 5348 cutoff 46 0.69120 0.72908 5.48% 36.1 110s
32270 5788 0.71374 54 90 0.69120 0.72707 5.19% 35.7 115s
34068 6051 0.69846 46 114 0.69120 0.72596 5.03% 35.6 120s
36199 6309 cutoff 71 0.69120 0.72404 4.75% 35.5 125s
38327 6524 cutoff 74 0.69120 0.72236 4.51% 35.3 130s
40313 6687 cutoff 64 0.69120 0.72096 4.31% 35.2 135s
42175 6732 0.69866 53 99 0.69120 0.71908 4.03% 35.2 140s
44119 6829 0.71209 53 105 0.69120 0.71767 3.83% 35.2 145s
46186 6966 0.70164 54 110 0.69120 0.71667 3.69% 35.0 150s
47791 7017 0.69461 38 128 0.69120 0.71559 3.53% 34.9 155s
49879 7062 0.69617 74 98 0.69120 0.71472 3.40% 34.7 160s
51889 7178 cutoff 48 0.69120 0.71350 3.23% 34.7 165s
53676 7229 cutoff 58 0.69120 0.71277 3.12% 34.4 170s
56037 7519 0.69233 50 120 0.69120 0.71200 3.01% 34.1 175s
58266 7772 0.69282 95 63 0.69120 0.71125 2.90% 33.8 180s
59492 7962 0.69844 58 106 0.69120 0.71094 2.86% 33.6 185s
61660 8278 cutoff 68 0.69120 0.71036 2.77% 33.3 190s
64140 8630 cutoff 85 0.69120 0.70967 2.67% 32.9 195s
66822 9123 cutoff 45 0.69120 0.70913 2.59% 32.4 200s
69120 9549 0.70104 58 110 0.69120 0.70875 2.54% 32.1 205s
72049 10125 cutoff 54 0.69120 0.70834 2.48% 31.7 210s
74312 10401 0.69201 96 59 0.69120 0.70783 2.41% 31.4 215s
76760 10626 0.70080 54 95 0.69120 0.70738 2.34% 31.2 220s
78774 10689 infeasible 52 0.69120 0.70692 2.28% 31.0 225s
80991 10704 0.70518 85 82 0.69120 0.70642 2.20% 31.0 230s
83477 10915 cutoff 71 0.69120 0.70596 2.14% 30.8 235s
85417 10888 0.69987 56 97 0.69120 0.70557 2.08% 30.8 240s
87430 10985 0.69712 99 77 0.69120 0.70525 2.03% 30.7 245s
89760 11051 cutoff 68 0.69120 0.70479 1.97% 30.6 250s
91950 11077 cutoff 62 0.69120 0.70450 1.92% 30.5 255s
94264 11167 cutoff 83 0.69120 0.70414 1.87% 30.4 260s
96435 11190 0.69641 56 119 0.69120 0.70381 1.82% 30.3 265s
97669 11183 0.70350 82 102 0.69120 0.70359 1.79% 30.2 270s
99798 11160 0.69843 106 71 0.69120 0.70326 1.75% 30.1 275s
101738 11068 cutoff 92 0.69120 0.70294 1.70% 30.1 280s
103933 11053 0.69579 64 67 0.69120 0.70260 1.65% 29.9 285s
106212 11113 cutoff 68 0.69120 0.70228 1.60% 29.8 290s
108872 11137 cutoff 75 0.69120 0.70192 1.55% 29.7 295s
110839 11105 cutoff 84 0.69120 0.70160 1.50% 29.6 300s
113117 10999 0.69961 75 64 0.69120 0.70122 1.45% 29.5 305s
115102 10969 infeasible 49 0.69120 0.70095 1.41% 29.4 310s
117601 10895 0.70048 83 62 0.69120 0.70059 1.36% 29.2 315s
120106 10962 infeasible 85 0.69120 0.70025 1.31% 29.1 320s
122126 10907 0.69829 100 85 0.69120 0.69997 1.27% 29.0 325s
124368 10796 0.69957 73 95 0.69120 0.69964 1.22% 28.9 330s
126757 10968 cutoff 72 0.69120 0.69939 1.19% 28.7 335s
129406 11085 0.69912 76 85 0.69120 0.69912 1.15% 28.5 340s
131631 11164 cutoff 73 0.69120 0.69891 1.12% 28.3 345s
133393 11306 0.69835 57 110 0.69120 0.69873 1.09% 28.2 350s
136160 11519 cutoff 105 0.69120 0.69846 1.05% 28.0 355s
138762 11685 0.69738 65 87 0.69120 0.69822 1.02% 27.8 360s
Cutting planes:
Gomory: 146
Cover: 1
Implied bound: 72
Projected implied bound: 66
Clique: 1
MIR: 26
Flow cover: 150
Inf proof: 418
Explored 140228 nodes (3873974 simplex iterations) in 362.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.691198 0.691198 0.691198
Optimal solution found (tolerance 1.00e-02)
Best objective 6.911979660444e-01, best bound 6.981084514006e-01, gap 0.9998%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo7hbo4rr.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuxl4yaqq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.68551
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.753593e-01, 952 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97536 0 91 0.68551 0.97536 42.3% - 0s
0 0 0.89063 0 120 0.68551 0.89063 29.9% - 0s
0 0 0.89061 0 120 0.68551 0.89061 29.9% - 0s
0 0 0.88445 0 126 0.68551 0.88445 29.0% - 0s
0 0 0.88441 0 123 0.68551 0.88441 29.0% - 0s
0 0 0.88312 0 126 0.68551 0.88312 28.8% - 0s
0 0 0.88296 0 128 0.68551 0.88296 28.8% - 0s
0 0 0.88244 0 131 0.68551 0.88244 28.7% - 0s
0 0 0.88243 0 133 0.68551 0.88243 28.7% - 0s
0 0 0.88243 0 134 0.68551 0.88243 28.7% - 0s
0 0 0.88243 0 105 0.68551 0.88243 28.7% - 0s
0 2 0.88243 0 105 0.68551 0.88243 28.7% - 0s
748 565 0.83081 11 132 0.68551 0.83744 22.2% 26.2 5s
1562 746 cutoff 20 0.68551 0.82313 20.1% 36.4 10s
2419 758 0.73393 26 114 0.68551 0.81231 18.5% 41.3 15s
H 2420 754 0.6855266 0.81231 18.5% 41.3 15s
3345 1029 0.74017 42 118 0.68553 0.80357 17.2% 43.1 20s
4597 1523 cutoff 29 0.68553 0.79636 16.2% 43.9 25s
5526 1656 0.72335 38 125 0.68553 0.78992 15.2% 46.8 30s
6776 2096 cutoff 31 0.68553 0.78566 14.6% 47.3 35s
7853 2392 0.74413 34 125 0.68553 0.78228 14.1% 49.0 40s
8792 2614 cutoff 38 0.68553 0.77955 13.7% 49.7 45s
10067 2878 cutoff 33 0.68553 0.77528 13.1% 50.5 50s
11387 3226 0.75269 29 137 0.68553 0.77159 12.6% 50.6 55s
12432 3531 0.72895 29 121 0.68553 0.76918 12.2% 50.6 60s
13669 3849 cutoff 33 0.68553 0.76702 11.9% 50.6 65s
14903 4055 0.69154 45 107 0.68553 0.76489 11.6% 50.8 70s
H15244 4144 0.6855266 0.76444 11.5% 50.9 73s
15283 4114 0.75490 34 133 0.68553 0.76418 11.5% 51.0 75s
*15696 4163 150 0.6855266 0.76330 11.3% 50.7 75s
16553 4393 0.72271 37 130 0.68553 0.76194 11.1% 51.0 80s
17630 4659 0.73460 31 135 0.68553 0.76052 10.9% 50.5 86s
18594 4815 cutoff 40 0.68553 0.75924 10.8% 50.9 91s
19679 5049 cutoff 33 0.68553 0.75791 10.6% 50.5 95s
21043 5339 0.71614 26 134 0.68553 0.75639 10.3% 50.5 112s
21649 5442 0.71143 47 108 0.68553 0.75530 10.2% 50.8 116s
22331 5571 0.69663 32 143 0.68553 0.75453 10.1% 51.2 120s
23178 5703 0.72784 42 125 0.68553 0.75347 9.91% 52.1 125s
24074 5796 0.74715 43 128 0.68553 0.75244 9.76% 53.0 130s
24924 5900 0.73281 31 144 0.68553 0.75111 9.57% 53.9 135s
25916 6020 0.72647 40 134 0.68553 0.74964 9.35% 54.4 140s
26888 6105 0.70532 31 147 0.68553 0.74853 9.19% 54.9 146s
27834 6148 0.72900 30 132 0.68553 0.74662 8.91% 55.6 151s
28587 6194 cutoff 45 0.68553 0.74572 8.78% 55.8 155s
29555 6249 0.70161 46 86 0.68553 0.74393 8.52% 56.5 161s
30264 6248 0.70224 41 117 0.68553 0.74263 8.33% 56.9 165s
31387 6302 cutoff 44 0.68553 0.74098 8.09% 57.2 172s
32154 6366 cutoff 46 0.68553 0.73998 7.94% 57.4 176s
33034 6453 0.72357 35 144 0.68553 0.73894 7.79% 57.3 181s
33864 6543 0.72022 32 150 0.68553 0.73796 7.65% 57.2 185s
35075 6578 0.68663 36 139 0.68553 0.73683 7.48% 57.3 191s
35833 6612 infeasible 40 0.68553 0.73606 7.37% 57.4 195s
37144 6694 cutoff 39 0.68553 0.73464 7.16% 57.3 201s
38024 6758 0.70532 43 122 0.68553 0.73378 7.04% 57.3 205s
39329 6829 0.71611 49 124 0.68553 0.73264 6.87% 57.1 211s
39770 6849 cutoff 52 0.68553 0.73234 6.83% 57.0 215s
41282 7034 0.72688 45 109 0.68553 0.73157 6.72% 56.7 221s
42402 7211 cutoff 46 0.68553 0.73064 6.58% 56.3 225s
43723 7252 0.70966 53 102 0.68553 0.72959 6.43% 56.1 230s
45017 7345 0.72458 40 127 0.68553 0.72863 6.29% 56.0 236s
45821 7369 cutoff 37 0.68553 0.72793 6.19% 56.0 240s
46639 7407 cutoff 36 0.68553 0.72720 6.08% 55.9 246s
47419 7436 cutoff 39 0.68553 0.72675 6.01% 55.8 250s
48878 7607 0.70561 34 147 0.68553 0.72572 5.86% 55.5 255s
50254 7684 0.70358 44 110 0.68553 0.72493 5.75% 55.3 261s
51172 7794 0.71380 46 102 0.68553 0.72443 5.67% 55.1 265s
52486 7865 0.70674 44 129 0.68553 0.72371 5.57% 54.9 270s
53824 7929 infeasible 53 0.68553 0.72289 5.45% 54.8 276s
55187 8097 0.70339 44 124 0.68553 0.72209 5.33% 54.5 281s
56154 8171 cutoff 45 0.68553 0.72168 5.27% 54.3 285s
57488 8189 0.71355 46 128 0.68553 0.72095 5.17% 54.1 290s
58827 8309 0.70799 43 99 0.68553 0.72022 5.06% 53.9 295s
60251 8413 cutoff 40 0.68553 0.71957 4.97% 53.6 300s
61578 8480 cutoff 55 0.68553 0.71905 4.89% 53.5 305s
62949 8577 0.70092 50 101 0.68553 0.71854 4.82% 53.3 310s
64208 8655 infeasible 51 0.68553 0.71802 4.74% 53.1 315s
65101 8699 cutoff 51 0.68553 0.71766 4.69% 53.0 321s
66407 8785 0.69603 35 155 0.68553 0.71713 4.61% 52.8 326s
67721 8833 cutoff 43 0.68553 0.71642 4.51% 52.7 331s
69136 8939 cutoff 44 0.68553 0.71586 4.43% 52.3 336s
70066 8947 cutoff 44 0.68553 0.71542 4.36% 52.2 340s
71321 9005 cutoff 30 0.68553 0.71484 4.28% 52.0 345s
72625 9076 0.71434 44 127 0.68553 0.71434 4.20% 51.8 350s
74269 9161 cutoff 45 0.68553 0.71367 4.10% 51.6 356s
75549 9132 0.69632 35 137 0.68553 0.71314 4.03% 51.5 360s
76954 9221 cutoff 43 0.68553 0.71275 3.97% 51.3 365s
78336 9238 cutoff 44 0.68553 0.71218 3.89% 51.0 370s
79657 9259 cutoff 46 0.68553 0.71153 3.79% 50.8 375s
81065 9315 cutoff 52 0.68553 0.71109 3.73% 50.6 380s
82692 9348 0.70049 47 112 0.68553 0.71047 3.64% 50.4 385s
83707 9506 infeasible 58 0.68553 0.71016 3.59% 50.2 390s
84968 9467 0.70516 34 128 0.68553 0.70967 3.52% 50.0 396s
86408 9614 cutoff 35 0.68553 0.70923 3.46% 49.8 400s
88319 9892 0.70075 44 138 0.68553 0.70877 3.39% 49.4 406s
89638 9956 cutoff 39 0.68553 0.70841 3.34% 49.2 410s
90964 10070 cutoff 46 0.68553 0.70802 3.28% 49.0 415s
92883 10255 0.70756 59 99 0.68553 0.70756 3.21% 48.7 420s
94822 10452 infeasible 81 0.68553 0.70711 3.15% 48.4 426s
96150 10571 cutoff 52 0.68553 0.70677 3.10% 48.2 430s
97801 10676 0.69154 66 54 0.68553 0.70639 3.04% 48.0 435s
99063 10816 cutoff 40 0.68553 0.70618 3.01% 47.8 440s
101061 11119 0.69597 53 80 0.68553 0.70581 2.96% 47.5 445s
103062 11479 0.69865 45 124 0.68553 0.70561 2.93% 47.1 450s
104442 11667 infeasible 47 0.68553 0.70535 2.89% 46.9 455s
106079 11794 0.70508 59 87 0.68553 0.70508 2.85% 46.8 460s
107609 12028 cutoff 54 0.68553 0.70479 2.81% 46.5 465s
109335 12187 cutoff 61 0.68553 0.70445 2.76% 46.3 470s
111132 12352 cutoff 52 0.68553 0.70419 2.72% 46.1 475s
112895 12602 0.70134 47 133 0.68553 0.70391 2.68% 45.8 480s
114884 12840 0.69467 58 61 0.68553 0.70365 2.64% 45.6 485s
116782 13030 0.69314 51 95 0.68553 0.70342 2.61% 45.3 490s
117137 13050 0.69505 59 123 0.68553 0.70329 2.59% 45.3 495s
118969 13412 0.69327 76 71 0.68553 0.70305 2.56% 45.0 500s
120879 13764 0.69919 38 133 0.68553 0.70276 2.51% 44.7 505s
122956 14063 0.69881 46 109 0.68553 0.70247 2.47% 44.4 510s
124595 14240 0.69316 47 118 0.68553 0.70220 2.43% 44.3 515s
126280 14397 cutoff 37 0.68553 0.70197 2.40% 44.1 520s
128087 14598 0.69956 60 86 0.68553 0.70175 2.37% 43.9 525s
129945 14749 cutoff 55 0.68553 0.70152 2.33% 43.7 530s
131691 14835 0.70008 50 122 0.68553 0.70126 2.30% 43.6 535s
133465 14942 0.70092 50 118 0.68553 0.70102 2.26% 43.4 540s
135139 15018 0.69869 49 128 0.68553 0.70079 2.23% 43.3 545s
137133 15083 0.69008 52 113 0.68553 0.70053 2.19% 43.2 550s
138831 15127 cutoff 84 0.68553 0.70028 2.15% 43.1 556s
140487 15134 0.69241 63 78 0.68553 0.70006 2.12% 42.9 561s
141819 15120 0.68931 45 136 0.68553 0.69988 2.09% 42.9 565s
143788 15266 0.69831 40 150 0.68553 0.69967 2.06% 42.7 571s
144686 15206 cutoff 44 0.68553 0.69956 2.05% 42.6 575s
146449 15228 0.69348 60 120 0.68553 0.69931 2.01% 42.5 581s
147732 15218 infeasible 63 0.68553 0.69916 1.99% 42.4 585s
149495 15244 infeasible 37 0.68553 0.69895 1.96% 42.4 590s
151179 15166 cutoff 63 0.68553 0.69873 1.93% 42.3 595s
152886 15245 cutoff 58 0.68553 0.69854 1.90% 42.2 600s
Cutting planes:
Gomory: 163
Cover: 5
Implied bound: 120
Projected implied bound: 68
MIR: 22
Flow cover: 199
Inf proof: 415
Explored 152904 nodes (6454764 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.685527 0.685527 0.685527 0.68551
Time limit reached
Warning: max constraint violation (5.3755e-06) exceeds tolerance
Warning: max bound violation (2.6866e-06) exceeds tolerance
Best objective 6.855266400195e-01, best bound 6.985391734658e-01, gap 1.8982%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7m6vewf_.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7n3g46t2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2179_ by 0.999997315
Presolve removed 704 rows and 456 columns
Presolve time: 0.03s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 9.619284e-01, 1041 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96193 0 93 - 0.96193 - - 0s
Another try with MIP start
0 0 0.88681 0 124 - 0.88681 - - 0s
0 0 0.88602 0 123 - 0.88602 - - 0s
0 0 0.87085 0 136 - 0.87085 - - 0s
0 0 0.87065 0 133 - 0.87065 - - 0s
0 0 0.86932 0 141 - 0.86932 - - 0s
0 0 0.86932 0 141 - 0.86932 - - 0s
0 0 0.86931 0 142 - 0.86931 - - 0s
0 0 0.86931 0 119 - 0.86931 - - 0s
0 2 0.86931 0 119 - 0.86931 - - 0s
741 597 0.77224 13 122 - 0.82173 - 4.2 5s
1978 1080 0.62392 80 96 - 0.82173 - 22.1 10s
4099 2341 0.77969 34 97 - 0.82173 - 25.0 15s
6148 3745 0.39354 39 76 - 0.81852 - 25.9 20s
8292 5259 infeasible 41 - 0.81565 - 27.0 25s
10676 6849 0.52204 51 86 - 0.81294 - 27.9 30s
12771 8260 infeasible 49 - 0.81106 - 28.7 35s
14945 9575 0.23322 42 82 - 0.81041 - 28.7 40s
16453 10582 0.33694 65 101 - 0.80927 - 29.1 45s
18402 11770 infeasible 69 - 0.80786 - 29.8 50s
20607 13251 0.16913 80 41 - 0.80636 - 30.0 67s
21503 13801 0.78664 34 103 - 0.80536 - 30.5 70s
23304 14983 0.40567 40 112 - 0.80458 - 30.8 75s
25147 16102 0.66731 33 110 - 0.80366 - 31.0 80s
27217 17315 0.29269 44 110 - 0.80262 - 31.7 85s
28646 18089 0.67259 42 133 - 0.80190 - 32.1 90s
30288 19019 infeasible 26 - 0.80097 - 32.4 95s
31790 19877 0.13316 88 18 - 0.80026 - 32.6 100s
33510 20816 0.75168 40 115 - 0.79910 - 32.9 105s
35034 21731 0.21073 63 72 - 0.79822 - 33.0 110s
36841 22821 0.71097 31 96 - 0.79730 - 33.1 115s
38520 23858 infeasible 87 - 0.79651 - 33.4 120s
39911 24687 0.27626 66 83 - 0.79593 - 33.5 125s
41868 25931 0.70680 45 111 - 0.79494 - 33.6 130s
43660 27054 infeasible 46 - 0.79397 - 33.7 135s
45184 27972 0.52290 40 120 - 0.79314 - 33.7 140s
47147 29191 0.14732 88 29 - 0.79213 - 33.7 145s
48847 30282 0.75081 33 114 - 0.79134 - 33.9 150s
50692 31298 0.65909 37 120 - 0.79025 - 34.0 155s
52020 32013 0.66221 41 130 - 0.78953 - 34.2 160s
54115 33225 0.70373 46 89 - 0.78857 - 34.1 165s
55941 34331 0.73834 36 110 - 0.78790 - 34.2 170s
57574 35255 0.52510 44 123 - 0.78751 - 34.3 175s
59650 36505 0.77415 39 109 - 0.78664 - 34.3 180s
60986 37276 0.73098 49 98 - 0.78617 - 34.4 185s
62908 38478 infeasible 38 - 0.78570 - 34.5 190s
64456 39412 0.22556 61 52 - 0.78521 - 34.6 195s
66368 40539 infeasible 51 - 0.78484 - 34.7 200s
67765 41385 0.26625 66 82 - 0.78464 - 34.8 205s
69606 42459 0.58813 59 87 - 0.78439 - 34.9 210s
71425 43511 0.54626 43 80 - 0.78413 - 35.0 215s
73488 44691 0.38557 50 103 - 0.78371 - 35.1 220s
74725 45421 0.23902 85 47 - 0.78353 - 35.3 225s
76889 46544 infeasible 59 - 0.78321 - 35.4 230s
78356 47388 0.72055 35 113 - 0.78292 - 35.5 235s
80019 48425 infeasible 62 - 0.78256 - 35.6 240s
81554 49332 0.47626 55 92 - 0.78215 - 35.6 245s
83371 50311 0.65539 43 116 - 0.78174 - 35.6 250s
85065 51357 infeasible 58 - 0.78152 - 35.7 255s
86948 52517 0.45343 45 111 - 0.78133 - 35.7 260s
88341 53293 0.57939 50 105 - 0.78110 - 35.8 265s
90284 54521 infeasible 70 - 0.78079 - 35.9 270s
91622 55336 0.48974 43 87 - 0.78061 - 35.9 275s
93314 56333 0.45817 46 112 - 0.78043 - 36.1 281s
95010 57294 0.29926 32 101 - 0.78022 - 36.1 285s
96301 58050 infeasible 49 - 0.78003 - 36.3 290s
97588 58797 0.76474 40 106 - 0.77983 - 36.4 295s
99153 59705 0.37550 44 100 - 0.77966 - 36.5 300s
101022 60701 0.76700 38 101 - 0.77926 - 36.6 305s
102724 61709 infeasible 34 - 0.77907 - 36.6 310s
103960 62439 0.65610 39 108 - 0.77887 - 36.7 315s
105715 63368 0.52112 44 75 - 0.77870 - 36.8 320s
107274 64332 0.12114 75 20 - 0.77851 - 36.8 325s
108943 65323 infeasible 43 - 0.77829 - 37.0 330s
110278 66083 infeasible 51 - 0.77806 - 37.0 335s
111937 67076 0.75467 41 112 - 0.77789 - 37.1 340s
113393 67920 infeasible 57 - 0.77767 - 37.1 345s
115084 68856 0.70877 40 124 - 0.77747 - 37.2 350s
116376 69562 0.39373 50 71 - 0.77720 - 37.3 355s
118100 70596 0.69277 42 101 - 0.77696 - 37.4 360s
119565 71363 0.31929 37 98 - 0.77682 - 37.5 365s
120921 72138 0.31659 45 94 - 0.77661 - 37.6 370s
122600 73149 infeasible 49 - 0.77648 - 37.6 375s
124055 74024 0.63772 53 96 - 0.77630 - 37.6 380s
125896 75137 0.73091 36 119 - 0.77616 - 37.6 385s
127377 75985 infeasible 73 - 0.77604 - 37.7 390s
129048 76914 infeasible 59 - 0.77581 - 37.8 395s
130392 77675 infeasible 40 - 0.77567 - 37.9 400s
131963 78597 0.56564 47 112 - 0.77553 - 37.9 405s
133594 79491 0.72474 44 120 - 0.77536 - 37.9 410s
135027 80399 0.74433 37 119 - 0.77523 - 38.0 415s
136622 81359 0.50133 46 69 - 0.77513 - 38.0 420s
138522 82520 0.38858 65 78 - 0.77489 - 38.0 425s
140559 83725 0.73709 43 112 - 0.77467 - 38.0 430s
141819 84407 0.44653 39 127 - 0.77455 - 38.0 435s
143580 85434 infeasible 57 - 0.77438 - 38.1 440s
144934 86120 0.46943 52 79 - 0.77422 - 38.1 445s
146384 86935 infeasible 62 - 0.77408 - 38.2 450s
*147668 87282 73 0.0458077 0.77395 1590% 38.2 454s
H147749 85537 0.1147584 0.77395 574% 38.2 457s
148389 85835 0.52127 46 92 0.11476 0.77387 574% 38.2 460s
149871 86570 0.48372 42 111 0.11476 0.77362 574% 38.2 465s
151094 87229 infeasible 61 0.11476 0.77343 574% 38.4 470s
151517 87438 infeasible 74 0.11476 0.77340 574% 38.4 477s
H151693 87517 0.1147584 0.77338 574% 38.4 479s
H151777 86872 0.1228194 0.77336 530% 38.4 479s
151785 86880 0.54491 53 116 0.12282 0.77336 530% 38.4 482s
152034 86986 0.18353 55 54 0.12282 0.77331 530% 38.4 485s
152910 87523 infeasible 67 0.12282 0.77325 530% 38.5 491s
153297 87684 0.56485 37 142 0.12282 0.77314 529% 38.5 495s
154911 88463 infeasible 49 0.12282 0.77295 529% 38.6 500s
156555 89196 0.27011 44 71 0.12282 0.77274 529% 38.7 505s
158072 89940 infeasible 51 0.12282 0.77259 529% 38.8 510s
159379 90640 0.50506 50 120 0.12282 0.77245 529% 38.9 515s
161103 91475 0.47264 40 112 0.12282 0.77227 529% 39.0 520s
162568 92185 0.61607 45 143 0.12282 0.77206 529% 39.1 525s
164116 93054 infeasible 39 0.12282 0.77192 528% 39.1 530s
165162 93661 0.27459 50 98 0.12282 0.77184 528% 39.1 535s
H165168 93664 0.1228194 0.77184 528% 39.1 535s
166113 94097 0.44921 49 85 0.12282 0.77172 528% 39.2 541s
167141 94597 0.73901 41 128 0.12282 0.77161 528% 39.2 545s
168816 95404 0.32574 68 103 0.12282 0.77142 528% 39.3 550s
170285 96130 0.63199 36 126 0.12282 0.77123 528% 39.3 555s
171986 96959 0.42279 52 132 0.12282 0.77104 528% 39.4 560s
173297 97645 0.20078 41 58 0.12282 0.77089 528% 39.5 565s
174707 98250 0.12976 45 45 0.12282 0.77068 527% 39.6 570s
176100 98901 0.48317 47 147 0.12282 0.77051 527% 39.7 575s
177430 99627 0.69477 44 121 0.12282 0.77036 527% 39.8 580s
179040 100347 0.61870 43 115 0.12282 0.77016 527% 39.9 585s
180411 101031 cutoff 60 0.12282 0.77001 527% 40.0 590s
181959 101663 0.68506 43 118 0.12282 0.76979 527% 40.0 595s
183172 102181 0.65627 49 137 0.12282 0.76969 527% 40.1 600s
Cutting planes:
Gomory: 150
Cover: 1
Implied bound: 49
Projected implied bound: 40
MIR: 26
StrongCG: 1
Flow cover: 111
Inf proof: 228
Zero half: 1
Mod-K: 1
Explored 183388 nodes (7390204 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.122819 0.122819 0.114758 ... 0.0458077
Time limit reached
Best objective 1.228194386081e-01, best bound 7.696747269624e-01, gap 526.6718%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnhsmzrqk.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp9bc0ie8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.130178
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.466220e-01, 1091 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94662 0 108 0.13018 0.94662 627% - 0s
0 0 0.86649 0 110 0.13018 0.86649 566% - 0s
0 0 0.86646 0 109 0.13018 0.86646 566% - 0s
0 0 0.85143 0 139 0.13018 0.85143 554% - 0s
0 0 0.85124 0 138 0.13018 0.85124 554% - 0s
0 0 0.85085 0 146 0.13018 0.85085 554% - 0s
0 0 0.85085 0 124 0.13018 0.85085 554% - 0s
0 2 0.85085 0 123 0.13018 0.85085 554% - 0s
747 589 0.76503 40 123 0.13018 0.82882 537% 33.9 5s
1272 755 0.63067 28 119 0.13018 0.82273 532% 35.5 10s
2671 1283 0.68001 55 101 0.13018 0.81156 523% 30.1 15s
4146 2232 0.41395 32 83 0.13018 0.80619 519% 31.5 20s
5595 2965 0.67458 39 125 0.13018 0.80165 516% 32.5 25s
6992 3662 infeasible 45 0.13018 0.79758 513% 33.1 30s
8452 4378 0.33778 39 96 0.13018 0.79499 511% 33.3 35s
9883 5033 0.78367 28 145 0.13018 0.79070 507% 34.4 40s
11123 5467 infeasible 36 0.13018 0.78767 505% 35.4 45s
12654 6246 0.76679 37 117 0.13018 0.78447 503% 35.4 50s
H12659 6246 0.1301784 0.78447 503% 35.4 50s
H12699 6263 0.1301784 0.78447 503% 35.4 50s
13637 6613 0.25081 59 83 0.13018 0.78193 501% 35.6 55s
14507 7028 0.54290 92 88 0.13018 0.78099 500% 35.3 61s
14915 7171 0.76434 31 148 0.13018 0.77961 499% 35.7 65s
15929 7621 0.56672 38 138 0.13018 0.77837 498% 36.4 70s
17545 8343 0.76492 35 98 0.13018 0.77564 496% 36.2 75s
19381 9200 0.76167 39 99 0.13018 0.77383 494% 35.9 80s
20633 9828 0.76137 39 124 0.13018 0.77177 493% 35.8 101s
20645 9836 0.26443 49 177 0.13018 0.77177 493% 35.7 105s
20655 9843 0.75310 49 190 0.13018 0.77177 493% 35.7 110s
20662 9847 0.38113 40 196 0.13018 0.77177 493% 35.7 115s
20667 9851 0.76163 33 205 0.13018 0.77177 493% 35.7 120s
20673 9855 0.62034 44 214 0.13018 0.77177 493% 35.7 125s
20679 9859 0.75557 44 215 0.13018 0.77177 493% 35.7 130s
20685 9863 0.33959 44 218 0.13018 0.77177 493% 35.7 135s
20690 9866 0.19670 74 207 0.13018 0.77177 493% 35.7 140s
20695 9869 0.71526 60 212 0.13018 0.77177 493% 35.7 145s
20700 9873 0.28088 51 216 0.13018 0.77177 493% 35.6 151s
20707 9877 0.33039 47 228 0.13018 0.77177 493% 35.6 155s
20710 9879 0.70808 43 215 0.13018 0.77177 493% 35.6 160s
20716 9883 0.27841 103 229 0.13018 0.77177 493% 35.6 165s
20724 9889 0.16342 70 245 0.13018 0.77177 493% 35.6 170s
20731 9893 0.69956 33 222 0.13018 0.77177 493% 35.6 175s
20737 9897 0.38127 60 243 0.13018 0.77177 493% 35.6 180s
20741 9900 0.73134 42 226 0.13018 0.77177 493% 35.6 185s
20745 9903 0.26443 49 233 0.13018 0.77177 493% 35.6 191s
20749 9905 0.57291 37 232 0.13018 0.77177 493% 35.6 195s
20756 9910 0.23039 64 220 0.13018 0.76793 490% 35.5 201s
20761 9913 0.73065 35 212 0.13018 0.76637 489% 35.5 206s
20765 9916 0.49178 65 225 0.13018 0.76586 488% 35.5 210s
20770 9919 0.46260 84 215 0.13018 0.76573 488% 35.5 216s
20774 9922 0.31027 52 218 0.13018 0.76563 488% 35.5 221s
20778 9925 0.67256 47 210 0.13018 0.76517 488% 35.5 225s
20783 9928 0.72656 44 212 0.13018 0.76402 487% 35.5 231s
20787 9931 0.69568 22 230 0.13018 0.76368 487% 35.5 235s
20790 9933 0.19670 74 233 0.13018 0.76362 487% 35.5 240s
20794 9935 0.76350 39 238 0.13018 0.76350 487% 35.5 246s
20797 9937 0.44152 74 237 0.13018 0.76345 486% 35.5 250s
20801 9940 0.63233 42 240 0.13018 0.76337 486% 35.5 255s
20804 9942 0.75400 35 244 0.13018 0.76335 486% 35.5 260s
20809 9945 0.55508 38 250 0.13018 0.76333 486% 35.5 265s
20813 9948 0.33212 48 242 0.13018 0.76315 486% 35.4 270s
20818 9951 0.13505 51 235 0.13018 0.76306 486% 35.4 275s
20823 9955 0.24843 53 240 0.13018 0.76295 486% 35.4 280s
20826 9957 0.73447 37 237 0.13018 0.76288 486% 35.4 285s
20830 9959 0.62606 55 236 0.13018 0.76285 486% 35.4 290s
20834 9962 0.43448 45 237 0.13018 0.76269 486% 35.4 296s
20838 9965 0.76094 50 238 0.13018 0.76235 486% 35.4 300s
20842 9967 0.32214 60 234 0.13018 0.76234 486% 35.4 305s
20845 9969 0.26443 49 240 0.13018 0.76219 485% 35.4 310s
20848 9971 0.31152 49 236 0.13018 0.76210 485% 35.4 315s
20854 9975 0.34865 36 238 0.13018 0.76208 485% 35.4 320s
20858 9978 0.74174 39 244 0.13018 0.76208 485% 35.4 325s
20861 9982 0.75872 25 224 0.13018 0.76208 485% 37.8 339s
20863 9983 0.75646 26 217 0.13018 0.76097 485% 37.8 345s
20866 9985 0.74380 27 234 0.13018 0.75541 480% 37.9 351s
20910 10002 0.68853 34 211 0.13018 0.74755 474% 38.4 355s
21091 10052 0.74626 32 223 0.13018 0.74738 474% 39.0 360s
21148 10067 0.74247 38 173 0.13018 0.74738 474% 39.3 365s
21457 10184 0.73273 35 205 0.13018 0.74709 474% 39.8 370s
21905 10366 0.22369 73 83 0.13018 0.74529 473% 40.5 375s
22263 10487 0.64612 62 121 0.13018 0.74422 472% 41.2 380s
22567 10579 0.40805 44 129 0.13018 0.74253 470% 42.4 385s
22873 10661 0.72947 38 196 0.13018 0.74250 470% 43.2 390s
23205 10783 0.72303 41 183 0.13018 0.74229 470% 43.9 395s
23473 10844 infeasible 51 0.13018 0.74205 470% 44.6 400s
23551 10884 0.69307 45 180 0.13018 0.74195 470% 44.9 405s
23725 10929 0.73228 51 158 0.13018 0.74195 470% 45.7 410s
24102 11013 0.70478 38 188 0.13018 0.74188 470% 46.7 415s
24420 11090 0.74084 36 194 0.13018 0.74178 470% 47.9 421s
24638 11148 0.63328 45 164 0.13018 0.74171 470% 48.6 425s
24799 11191 0.73140 37 202 0.13018 0.74170 470% 48.8 430s
25121 11290 0.63651 48 189 0.13018 0.74146 470% 49.6 436s
25242 11319 0.71186 42 179 0.13018 0.74146 470% 50.1 442s
H25249 10816 0.1301784 0.74146 470% 50.1 442s
25256 10808 0.70144 47 154 0.13018 0.74144 470% 50.2 446s
25510 10871 0.37249 39 151 0.13018 0.74132 469% 51.0 451s
25621 10895 0.71945 51 206 0.13018 0.74132 469% 51.6 455s
25913 10970 0.67633 49 197 0.13018 0.74116 469% 52.6 470s
26181 11046 infeasible 83 0.13018 0.74109 469% 53.6 476s
26359 11082 0.69608 42 222 0.13018 0.74091 469% 54.2 481s
26496 11101 0.70534 38 184 0.13018 0.74086 469% 54.9 486s
26740 11165 0.72800 42 194 0.13018 0.74081 469% 55.5 490s
27060 11229 0.68201 43 195 0.13018 0.74063 469% 56.9 497s
27269 11275 0.32295 47 123 0.13018 0.74052 469% 57.5 502s
27503 11337 0.65973 49 187 0.13018 0.74048 469% 58.1 506s
27713 11379 0.70442 57 135 0.13018 0.74041 469% 58.8 511s
28039 11436 0.62463 50 145 0.13018 0.74028 469% 59.3 516s
28295 11515 0.71060 41 188 0.13018 0.74015 469% 59.9 521s
28644 11616 0.67046 46 176 0.13018 0.74004 468% 60.4 526s
28907 11669 0.65260 51 166 0.13018 0.73996 468% 61.3 532s
29162 11713 0.67321 49 188 0.13018 0.73979 468% 62.1 537s
29367 11723 0.65038 52 155 0.13018 0.73972 468% 63.2 542s
29643 11802 0.71800 50 169 0.13018 0.73962 468% 63.9 549s
29838 11803 infeasible 43 0.13018 0.73951 468% 64.9 554s
29967 11822 0.45066 36 184 0.13018 0.73947 468% 65.8 561s
30150 11854 0.70258 43 200 0.13018 0.73935 468% 66.3 568s
30392 11877 0.59205 55 164 0.13018 0.73916 468% 67.4 574s
30618 11902 0.66841 43 168 0.13018 0.73913 468% 68.4 581s
Cutting planes:
Gomory: 178
Cover: 11
Implied bound: 33
Projected implied bound: 28
MIR: 199
StrongCG: 3
Flow cover: 811
Inf proof: 65
Zero half: 1
Explored 31061 nodes (2150773 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.130178 0.130178 0.130178 0.130178
Time limit reached
Best objective 1.301784390390e-01, best bound 7.389394163157e-01, gap 467.6358%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8k1mxdh_.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbk0k0c0j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
Presolve removed 732 rows and 474 columns
Presolve time: 0.03s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.365846e-01, 1043 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93658 0 99 - 0.93658 - - 0s
Another try with MIP start
H 0 0 0.1253224 0.93658 647% - 0s
0 0 0.85847 0 135 0.12532 0.85847 585% - 0s
0 0 0.85845 0 135 0.12532 0.85845 585% - 0s
0 0 0.84701 0 158 0.12532 0.84701 576% - 0s
0 0 0.84700 0 159 0.12532 0.84700 576% - 0s
0 0 0.84671 0 169 0.12532 0.84671 576% - 0s
0 0 0.84671 0 134 0.12532 0.84671 576% - 0s
0 2 0.84671 0 130 0.12532 0.84671 576% - 0s
740 629 0.76366 38 127 0.12532 0.81596 551% 40.1 5s
1656 960 infeasible 17 0.12532 0.81596 551% 43.1 10s
3503 1925 0.80109 31 128 0.12532 0.81274 549% 37.2 15s
5412 3206 0.15038 86 78 0.12532 0.81016 546% 34.7 20s
7751 4800 0.67940 64 121 0.12532 0.80794 545% 32.9 25s
9557 5980 0.58326 49 117 0.12532 0.80667 544% 33.1 30s
11318 7102 cutoff 51 0.12532 0.80516 542% 33.6 37s
12170 7620 0.45017 42 107 0.12532 0.80443 542% 34.1 40s
13261 8287 0.37604 31 90 0.12532 0.80386 541% 34.7 45s
14609 8968 0.78377 33 142 0.12532 0.80307 541% 34.9 50s
16005 9796 infeasible 63 0.12532 0.80240 540% 35.2 55s
17638 10642 0.48034 42 106 0.12532 0.80136 539% 36.1 60s
19514 11676 0.23495 38 53 0.12532 0.80042 539% 36.5 65s
21164 12480 0.78019 44 134 0.12532 0.79961 538% 36.7 87s
21172 12485 0.79909 32 164 0.12532 0.79961 538% 36.7 91s
21180 12491 0.12613 96 165 0.12532 0.79961 538% 36.7 95s
21187 12495 0.18468 121 177 0.12532 0.79961 538% 36.7 100s
21193 12499 0.14405 107 190 0.12532 0.79828 537% 36.7 105s
21198 12503 0.37763 55 186 0.12532 0.79440 534% 36.7 110s
21204 12507 0.27906 62 180 0.12532 0.79200 532% 36.7 115s
21209 12510 0.53536 39 194 0.12532 0.79143 532% 36.6 121s
21213 12513 0.32620 51 220 0.12532 0.79122 531% 36.6 125s
21219 12517 0.79109 31 215 0.12532 0.79109 531% 36.6 130s
21226 12521 0.43706 78 208 0.12532 0.78459 526% 36.6 135s
21231 12525 0.45397 37 197 0.12532 0.78381 525% 36.6 141s
21236 12528 0.25891 47 195 0.12532 0.77537 519% 36.6 145s
21243 12533 0.15198 86 208 0.12532 0.77047 515% 36.6 150s
21248 12536 0.19002 67 209 0.12532 0.77009 514% 36.6 155s
21255 12541 0.48968 37 205 0.12532 0.76820 513% 36.6 160s
21260 12544 0.44425 38 216 0.12532 0.76784 513% 36.6 165s
21265 12547 0.67390 79 217 0.12532 0.76773 513% 36.5 170s
21270 12551 0.76763 32 213 0.12532 0.76763 513% 36.5 175s
21275 12554 0.49494 36 210 0.12532 0.76751 512% 36.5 180s
21281 12558 0.68069 38 222 0.12532 0.76751 512% 36.5 185s
21286 12561 0.39229 69 211 0.12532 0.76728 512% 36.5 190s
21291 12565 0.68125 54 221 0.12532 0.76713 512% 36.5 195s
21295 12567 0.59068 40 219 0.12532 0.76711 512% 36.5 200s
21301 12571 0.73507 38 212 0.12532 0.76693 512% 36.5 205s
21305 12574 0.13197 66 227 0.12532 0.76671 512% 36.5 210s
21310 12577 0.38969 38 218 0.12532 0.76671 512% 36.5 215s
21315 12581 0.16615 36 220 0.12532 0.76669 512% 36.5 220s
21321 12585 0.33323 47 208 0.12532 0.76633 511% 36.5 225s
21327 12589 0.76627 41 214 0.12532 0.76627 511% 36.4 230s
21332 12592 0.19381 32 215 0.12532 0.76623 511% 36.4 235s
21338 12596 0.29312 33 221 0.12532 0.76623 511% 36.4 240s
21342 12602 0.76623 25 211 0.12532 0.76623 511% 38.2 248s
21344 12602 0.74417 26 200 0.12532 0.76623 511% 38.2 253s
21348 12601 infeasible 27 0.12532 0.76376 509% 38.3 258s
21352 12600 0.75808 28 215 0.12532 0.76132 507% 38.4 260s
21408 12614 0.71412 39 181 0.12532 0.75777 505% 38.8 268s
21446 12632 0.75556 33 220 0.12532 0.75760 505% 38.9 273s
21487 12639 0.72368 39 194 0.12532 0.75690 504% 39.0 276s
21650 12693 0.71848 33 184 0.12532 0.75675 504% 39.1 280s
21956 12772 0.16229 72 54 0.12532 0.75632 503% 39.8 285s
22047 12792 infeasible 33 0.12532 0.75429 502% 40.0 293s
22145 12807 0.74776 44 204 0.12532 0.75262 501% 40.3 295s
22394 12887 0.42964 44 161 0.12532 0.75233 500% 40.9 300s
22453 12912 0.29726 59 104 0.12532 0.75182 500% 41.1 305s
22739 13013 0.49980 66 138 0.12532 0.75156 500% 41.9 310s
23032 13108 0.72827 44 204 0.12532 0.75019 499% 42.6 315s
23317 13195 0.73267 40 194 0.12532 0.74983 498% 43.1 320s
23605 13255 0.69006 51 167 0.12532 0.74876 497% 43.8 327s
23844 13315 0.74437 36 199 0.12532 0.74741 496% 44.3 331s
24015 13353 0.65937 60 165 0.12532 0.74603 495% 44.7 335s
24122 13390 0.74326 39 220 0.12532 0.74527 495% 45.1 341s
24358 13468 infeasible 48 0.12532 0.74493 494% 45.7 345s
24668 13557 infeasible 55 0.12532 0.74468 494% 46.2 350s
25228 13730 0.12805 113 9 0.12532 0.74411 494% 46.9 356s
25587 13816 infeasible 59 0.12532 0.74338 493% 47.6 361s
26052 13950 0.73401 55 153 0.12532 0.74326 493% 48.1 369s
26227 13989 0.73794 44 195 0.12532 0.74325 493% 48.5 372s
26424 14046 infeasible 39 0.12532 0.74263 493% 48.9 386s
26657 14111 0.70659 49 191 0.12532 0.74244 492% 49.2 392s
26926 14209 infeasible 44 0.12532 0.74225 492% 49.5 395s
27306 14279 cutoff 39 0.12532 0.74173 492% 50.2 402s
27554 14352 0.63847 57 162 0.12532 0.74161 492% 50.6 407s
27860 14414 0.51467 62 158 0.12532 0.74119 491% 50.9 411s
28246 14512 0.47028 45 139 0.12532 0.74092 491% 51.1 417s
28595 14589 0.71004 53 166 0.12532 0.74071 491% 51.4 421s
28788 14637 0.63717 36 198 0.12532 0.74016 491% 52.1 426s
29077 14702 cutoff 42 0.12532 0.73990 490% 52.5 430s
29577 14802 0.68508 52 182 0.12532 0.73976 490% 53.5 439s
29961 14923 0.71631 50 190 0.12532 0.73966 490% 53.9 444s
30248 14964 infeasible 54 0.12532 0.73895 490% 54.3 449s
30595 15105 0.71954 40 190 0.12532 0.73868 489% 54.7 454s
30836 15177 0.59664 56 158 0.12532 0.73848 489% 55.0 459s
31084 15229 0.70767 44 171 0.12532 0.73806 489% 55.7 465s
31425 15308 0.68480 51 177 0.12532 0.73775 489% 56.3 471s
31843 15441 0.73013 48 195 0.12532 0.73737 488% 56.8 476s
32336 15580 infeasible 45 0.12532 0.73720 488% 57.2 482s
32652 15653 0.50480 54 165 0.12532 0.73679 488% 57.8 501s
32656 15636 cutoff 55 0.12532 0.73679 488% 57.8 507s
32949 15682 0.71202 45 176 0.12532 0.73623 487% 58.4 513s
33322 15767 0.62167 47 165 0.12532 0.73593 487% 58.9 518s
33641 15784 0.26959 55 80 0.12532 0.73524 487% 59.6 524s
33973 15838 infeasible 63 0.12532 0.73491 486% 60.1 529s
34328 15904 0.42172 54 129 0.12532 0.73419 486% 60.5 536s
34746 15975 0.67358 48 183 0.12532 0.73390 486% 61.0 542s
35162 16083 0.68443 36 205 0.12532 0.73342 485% 61.3 548s
35607 16162 0.72365 49 158 0.12532 0.73313 485% 61.6 554s
36010 16208 0.69216 42 189 0.12532 0.73269 485% 62.0 560s
36410 16324 0.70634 41 174 0.12532 0.73244 484% 62.4 566s
36785 16348 0.71267 49 169 0.12532 0.73229 484% 62.8 573s
37220 16438 0.65084 52 161 0.12532 0.73167 484% 63.1 579s
37580 16462 0.71261 48 193 0.12532 0.73145 484% 63.6 585s
37980 16538 0.71771 50 155 0.12532 0.73145 484% 64.0 591s
38372 16603 0.71546 47 190 0.12532 0.73095 483% 64.3 597s
38705 16685 infeasible 63 0.12532 0.73091 483% 64.7 600s
Cutting planes:
Gomory: 188
Cover: 7
Implied bound: 51
Projected implied bound: 46
Clique: 1
MIR: 210
StrongCG: 2
Flow cover: 877
Inf proof: 123
Explored 38841 nodes (2523419 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.125322
Time limit reached
Best objective 1.253223998985e-01, best bound 7.308593086453e-01, gap 483.1833%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps48bh4_j.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7szycv52.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.122293
Presolve removed 746 rows and 483 columns
Presolve time: 0.04s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 9.171031e-01, 1047 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.91710 0 100 0.12229 0.91710 650% - 0s
0 0 0.84558 0 123 0.12229 0.84558 591% - 0s
0 0 0.84557 0 123 0.12229 0.84557 591% - 0s
0 0 0.83129 0 148 0.12229 0.83129 580% - 0s
0 0 0.83110 0 148 0.12229 0.83110 580% - 0s
0 0 0.83019 0 154 0.12229 0.83019 579% - 0s
0 0 0.83013 0 154 0.12229 0.83013 579% - 0s
0 0 0.83013 0 154 0.12229 0.83013 579% - 0s
0 0 0.83013 0 134 0.12229 0.83013 579% - 0s
0 2 0.83013 0 132 0.12229 0.83013 579% - 0s
743 584 0.79547 14 132 0.12229 0.79738 552% 35.7 5s
1593 900 0.58929 40 142 0.12229 0.79738 552% 33.2 10s
3161 1779 0.78346 30 134 0.12229 0.79125 547% 30.0 15s
4563 2733 infeasible 60 0.12229 0.78795 544% 32.2 20s
6096 3782 0.76385 33 142 0.12229 0.78627 543% 34.0 25s
7665 4856 0.60177 41 142 0.12229 0.78394 541% 36.1 30s
9412 5973 0.35031 37 112 0.12229 0.78334 541% 36.0 35s
11198 7120 0.20777 65 57 0.12229 0.78294 540% 36.0 40s
11701 7447 infeasible 45 0.12229 0.78253 540% 36.0 45s
12823 8070 0.49026 40 136 0.12229 0.78199 539% 36.7 50s
13948 8709 0.31530 58 74 0.12229 0.78126 539% 37.6 56s
15367 9438 0.37692 54 101 0.12229 0.78054 538% 37.7 60s
16885 10367 0.34440 39 89 0.12229 0.77985 538% 38.1 65s
18073 11016 0.22685 51 69 0.12229 0.77898 537% 39.0 70s
19576 11921 0.59691 40 143 0.12229 0.77825 536% 39.0 75s
20852 12671 0.63204 40 134 0.12229 0.77795 536% 39.4 97s
20860 12676 0.12684 106 164 0.12229 0.77795 536% 39.4 100s
20866 12680 0.29084 47 187 0.12229 0.77795 536% 39.4 105s
20874 12686 0.19991 73 209 0.12229 0.77795 536% 39.4 110s
20880 12690 0.45211 76 213 0.12229 0.77795 536% 39.4 115s
20887 12694 0.29597 49 209 0.12229 0.77795 536% 39.4 120s
20894 12699 0.20853 54 218 0.12229 0.77795 536% 39.4 126s
20899 12702 0.62606 45 222 0.12229 0.77795 536% 39.3 130s
20905 12706 0.39765 45 225 0.12229 0.77795 536% 39.3 135s
20909 12709 0.50860 45 224 0.12229 0.77633 535% 39.3 140s
20917 12714 0.60304 26 230 0.12229 0.77447 533% 39.3 145s
20923 12718 0.77380 32 233 0.12229 0.77380 533% 39.3 150s
20927 12721 0.53544 63 238 0.12229 0.77319 532% 39.3 155s
20932 12724 0.21815 72 220 0.12229 0.77243 532% 39.3 160s
20938 12728 0.75330 37 230 0.12229 0.77226 531% 39.3 165s
20942 12731 0.44788 48 225 0.12229 0.77210 531% 39.3 170s
20947 12734 0.77183 34 236 0.12229 0.77183 531% 39.3 175s
20952 12738 0.63204 40 236 0.12229 0.77176 531% 39.2 180s
20957 12741 0.46330 35 240 0.12229 0.77173 531% 39.2 185s
20960 12743 0.12684 106 235 0.12229 0.77167 531% 39.2 190s
20965 12746 0.46435 45 236 0.12229 0.77139 531% 39.2 195s
20972 12751 0.49840 43 237 0.12229 0.77092 530% 39.2 200s
20977 12754 0.29974 31 239 0.12229 0.77091 530% 39.2 205s
20982 12758 0.52885 42 239 0.12229 0.77086 530% 39.2 210s
20987 12761 0.29597 49 242 0.12229 0.77081 530% 39.2 215s
20992 12764 0.21361 67 234 0.12229 0.77079 530% 39.2 220s
20998 12768 0.74677 39 232 0.12229 0.77074 530% 39.2 225s
21004 12772 0.33068 52 234 0.12229 0.77071 530% 39.1 230s
21010 12776 0.20866 57 236 0.12229 0.77071 530% 39.1 236s
21013 12781 0.77028 29 223 0.12229 0.77059 530% 40.3 243s
H21014 12139 0.1222927 0.77059 530% 40.3 243s
21015 12141 0.76205 30 226 0.12229 0.76651 527% 40.3 249s
21019 12140 infeasible 31 0.12229 0.76525 526% 40.4 254s
21023 12138 0.74089 31 212 0.12229 0.76196 523% 40.5 255s
21064 12150 0.68596 37 178 0.12229 0.76196 523% 40.8 260s
21205 12195 0.73099 44 190 0.12229 0.75870 520% 41.3 265s
21295 12231 0.47814 55 118 0.12229 0.75839 520% 41.5 273s
21359 12243 0.37464 64 96 0.12229 0.75839 520% 41.6 277s
21496 12283 0.74329 39 219 0.12229 0.75826 520% 42.0 280s
21720 12341 0.74861 39 224 0.12229 0.75526 518% 42.8 285s
21837 12377 0.75362 40 230 0.12229 0.75400 517% 43.3 290s
22170 12457 0.74823 44 213 0.12229 0.75006 513% 44.0 295s
22509 12524 0.72793 40 208 0.12229 0.74896 512% 44.8 304s
H22560 11911 0.1222927 0.74873 512% 45.1 304s
22561 11928 0.74144 41 210 0.12229 0.74873 512% 45.1 305s
22855 11973 infeasible 47 0.12229 0.74746 511% 45.9 310s
23113 12028 0.72793 56 160 0.12229 0.74670 511% 46.8 315s
23405 12086 infeasible 50 0.12229 0.74605 510% 47.8 321s
23612 12114 0.48367 56 141 0.12229 0.74503 509% 48.4 325s
24044 12214 0.28910 55 81 0.12229 0.74393 508% 49.2 331s
24211 12260 0.73934 50 190 0.12229 0.74389 508% 49.4 336s
24360 12314 0.22441 63 88 0.12229 0.74380 508% 49.8 341s
24648 12378 0.72716 47 199 0.12229 0.74346 508% 50.6 346s
25069 12485 0.61880 49 144 0.12229 0.74277 507% 51.2 351s
25382 12528 cutoff 60 0.12229 0.74197 507% 52.2 357s
25488 12533 0.64356 77 118 0.12229 0.74176 507% 52.8 360s
25859 12594 0.57544 60 142 0.12229 0.74176 507% 53.8 366s
26068 12660 infeasible 63 0.12229 0.74093 506% 54.3 382s
26133 12659 0.58806 78 126 0.12229 0.74085 506% 54.6 386s
26393 12726 infeasible 63 0.12229 0.74046 505% 55.0 390s
26823 12830 infeasible 42 0.12229 0.73948 505% 56.0 397s
27145 12909 0.41895 56 146 0.12229 0.73934 505% 56.2 401s
27373 12950 0.42782 51 151 0.12229 0.73927 505% 56.6 405s
27586 12978 infeasible 58 0.12229 0.73907 504% 57.3 410s
28045 13006 0.71745 41 214 0.12229 0.73813 504% 58.8 418s
28320 13069 0.72774 36 218 0.12229 0.73713 503% 59.4 422s
28662 13132 0.54798 48 148 0.12229 0.73678 502% 59.9 427s
28967 13181 0.46582 52 153 0.12229 0.73615 502% 60.4 432s
29236 13229 0.71960 47 203 0.12229 0.73558 501% 61.2 438s
29385 13251 0.26460 78 108 0.12229 0.73546 501% 61.8 443s
29723 13316 0.68887 43 193 0.12229 0.73507 501% 62.5 449s
29996 13360 0.22393 64 87 0.12229 0.73442 501% 63.4 455s
30302 13446 0.56812 87 110 0.12229 0.73366 500% 64.1 462s
30777 13556 0.68235 45 188 0.12229 0.73280 499% 64.5 468s
31163 13586 0.71168 45 192 0.12229 0.73224 499% 65.2 475s
31708 13695 infeasible 55 0.12229 0.73143 498% 65.6 481s
32193 13821 0.57527 57 158 0.12229 0.73080 498% 66.1 488s
32729 13911 0.70363 59 155 0.12229 0.73025 497% 66.3 494s
33136 13972 0.72124 43 207 0.12229 0.72973 497% 66.9 500s
33421 14027 0.57319 53 163 0.12229 0.72927 496% 67.5 506s
33803 14079 infeasible 53 0.12229 0.72833 496% 68.1 513s
34143 14077 infeasible 68 0.12229 0.72791 495% 68.8 519s
34476 14084 0.30131 59 132 0.12229 0.72741 495% 69.5 525s
34757 14077 infeasible 43 0.12229 0.72665 494% 70.3 531s
35081 14142 0.56681 54 160 0.12229 0.72628 494% 71.1 538s
35477 14221 0.17065 79 50 0.12229 0.72578 493% 71.6 547s
35540 14210 0.17065 79 50 0.12229 0.72578 493% 71.5 554s
36132 14259 0.57715 50 166 0.12229 0.72478 493% 72.0 561s
36619 14347 0.68967 47 172 0.12229 0.72403 492% 72.3 567s
36931 14396 0.71184 44 210 0.12229 0.72363 492% 72.8 575s
37496 14512 0.54314 59 151 0.12229 0.72326 491% 72.9 581s
38018 14663 0.63812 50 167 0.12229 0.72293 491% 73.1 588s
38472 14709 0.68257 51 179 0.12229 0.72242 491% 73.4 595s
38855 14768 infeasible 53 0.12229 0.72213 490% 73.9 600s
Cutting planes:
Gomory: 215
Cover: 9
Implied bound: 62
Projected implied bound: 40
MIR: 226
Flow cover: 765
Inf proof: 121
Zero half: 2
Explored 39269 nodes (2910194 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.122293 0.122293 0.122293
Time limit reached
Best objective 1.222927171583e-01, best bound 7.219655894029e-01, gap 490.3586%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvlnobey6.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0zd81f5t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [3e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.119245
Presolve removed 760 rows and 492 columns
Presolve time: 0.04s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 9.038805e-01, 1059 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90388 0 103 0.11925 0.90388 658% - 0s
0 0 0.83305 0 126 0.11925 0.83305 599% - 0s
0 0 0.83304 0 126 0.11925 0.83304 599% - 0s
0 0 0.82435 0 151 0.11925 0.82435 591% - 0s
0 0 0.82417 0 147 0.11925 0.82417 591% - 0s
0 0 0.82324 0 151 0.11925 0.82324 590% - 0s
0 0 0.82321 0 152 0.11925 0.82321 590% - 0s
0 0 0.82317 0 152 0.11925 0.82317 590% - 0s
0 0 0.82317 0 127 0.11925 0.82317 590% - 0s
0 2 0.82317 0 123 0.11925 0.82317 590% - 0s
745 572 0.71441 37 141 0.11925 0.79023 563% 33.7 5s
1412 761 0.77359 31 129 0.11925 0.79023 563% 38.3 10s
2825 1374 0.22168 57 80 0.11925 0.79023 563% 35.3 15s
4666 2546 cutoff 56 0.11925 0.78731 560% 34.0 20s
6619 3740 0.17681 70 73 0.11925 0.78163 555% 32.9 25s
8792 5089 0.64810 89 103 0.11925 0.77914 553% 32.0 30s
10642 6211 infeasible 38 0.11925 0.77646 551% 31.8 35s
12435 7327 0.66775 37 150 0.11925 0.77472 550% 31.8 40s
14391 8532 0.73837 47 138 0.11925 0.77254 548% 32.2 48s
14565 8635 0.41025 48 124 0.11925 0.77214 548% 32.4 50s
16254 9642 0.53343 50 117 0.11925 0.77008 546% 32.7 55s
17751 10520 infeasible 66 0.11925 0.76862 545% 33.0 60s
19686 11605 0.15918 58 39 0.11925 0.76682 543% 33.3 65s
20893 12252 0.63210 45 127 0.11925 0.76589 542% 33.4 87s
20902 12258 0.76243 38 194 0.11925 0.76589 542% 33.4 90s
20908 12262 0.47718 52 187 0.11925 0.76589 542% 33.4 95s
20912 12265 0.16752 80 180 0.11925 0.76589 542% 33.4 100s
20919 12269 0.27385 39 188 0.11925 0.75887 536% 33.4 106s
20924 12273 0.25418 61 207 0.11925 0.75556 534% 33.3 110s
20928 12275 0.12745 66 205 0.11925 0.75402 532% 33.3 115s
20933 12279 0.36244 55 197 0.11925 0.75117 530% 33.3 121s
20936 12281 0.14497 77 206 0.11925 0.75100 530% 33.3 125s
20940 12283 0.30667 61 206 0.11925 0.75070 530% 33.3 131s
20944 12286 0.39162 84 204 0.11925 0.75055 529% 33.3 136s
20947 12288 0.27278 63 210 0.11925 0.75049 529% 33.3 140s
20951 12291 0.19366 89 207 0.11925 0.75029 529% 33.3 145s
20956 12294 0.28962 74 208 0.11925 0.75012 529% 33.3 150s
20961 12297 0.35592 41 211 0.11925 0.74992 529% 33.3 155s
20964 12299 0.19847 113 209 0.11925 0.74972 529% 33.3 160s
20968 12302 0.63214 76 206 0.11925 0.74958 529% 33.3 166s
20971 12304 0.13644 68 212 0.11925 0.74922 528% 33.3 170s
20976 12307 0.65773 42 197 0.11925 0.74582 525% 33.3 175s
20980 12310 0.33507 52 216 0.11925 0.74505 525% 33.3 181s
20985 12313 0.38441 47 213 0.11925 0.74378 524% 33.2 186s
20987 12315 0.56678 42 224 0.11925 0.74378 524% 33.2 190s
20991 12317 0.32653 44 197 0.11925 0.74347 523% 33.2 196s
20993 12319 0.63210 45 192 0.11925 0.73864 519% 33.2 200s
20997 12321 0.21515 73 204 0.11925 0.73851 519% 33.2 206s
21000 12323 0.51520 49 208 0.11925 0.73821 519% 33.2 210s
21004 12326 0.63275 44 201 0.11925 0.73761 519% 33.2 215s
21007 12328 0.64765 43 214 0.11925 0.73741 518% 33.2 220s
21011 12331 0.46235 36 201 0.11925 0.73736 518% 33.2 226s
21013 12332 0.41499 64 215 0.11925 0.73732 518% 33.2 230s
21017 12335 0.29713 45 216 0.11925 0.73654 518% 33.2 236s
21019 12336 0.27385 39 212 0.11925 0.73635 518% 33.2 240s
21023 12339 0.32087 40 220 0.11925 0.73629 517% 33.2 246s
21026 12341 0.37867 49 215 0.11925 0.73621 517% 33.2 250s
21029 12343 0.36775 57 221 0.11925 0.73621 517% 33.2 255s
21032 12345 0.71377 43 218 0.11925 0.73621 517% 33.2 261s
21034 12347 0.73458 24 216 0.11925 0.73563 517% 34.7 267s
21036 12348 0.73441 25 215 0.11925 0.73441 516% 34.7 270s
21042 12348 0.72323 27 202 0.11925 0.72824 511% 34.8 275s
21078 12356 0.68888 34 169 0.11925 0.72758 510% 35.2 280s
H21099 11742 0.1192454 0.72758 510% 35.3 281s
21166 11757 0.72063 33 200 0.11925 0.72744 510% 35.5 285s
21202 11762 0.67407 40 179 0.11925 0.72744 510% 35.7 290s
21248 11777 0.55818 49 143 0.11925 0.72744 510% 35.9 295s
21538 11862 0.71857 32 198 0.11925 0.72630 509% 36.1 300s
21957 11971 0.66852 61 137 0.11925 0.72524 508% 36.5 305s
22286 12113 infeasible 66 0.11925 0.72445 508% 36.9 310s
22685 12267 infeasible 71 0.11925 0.72329 507% 37.4 315s
22941 12355 0.70742 48 160 0.11925 0.72299 506% 37.8 323s
23036 12380 0.57245 71 133 0.11925 0.72283 506% 37.9 325s
23526 12533 0.60866 51 177 0.11925 0.72178 505% 38.5 331s
24024 12748 0.70518 44 157 0.11925 0.72105 505% 38.8 335s
24766 12988 0.46257 53 142 0.11925 0.72009 504% 39.2 341s
25056 13105 0.71669 34 205 0.11925 0.71999 504% 39.7 345s
25467 13281 0.65201 65 131 0.11925 0.71989 504% 40.2 350s
26027 13453 0.60216 55 141 0.11925 0.71957 503% 41.0 361s
26458 13593 0.70227 41 156 0.11925 0.71933 503% 41.4 366s
26906 13735 0.51231 54 150 0.11925 0.71897 503% 41.8 371s
27444 13848 0.61660 35 140 0.11925 0.71857 503% 42.3 376s
28185 14031 0.69334 46 146 0.11925 0.71813 502% 42.6 382s
28538 14138 0.71423 37 189 0.11925 0.71794 502% 42.9 385s
29104 14303 infeasible 68 0.11925 0.71735 502% 43.5 392s
29393 14376 0.70720 50 173 0.11925 0.71693 501% 43.8 396s
29481 14406 0.68633 67 121 0.11925 0.71690 501% 44.0 400s
30404 14626 0.70707 42 177 0.11925 0.71652 501% 44.5 407s
30811 14718 0.62910 52 125 0.11925 0.71616 501% 44.8 411s
31310 14806 0.70653 38 188 0.11925 0.71582 500% 45.2 429s
31314 14788 0.70580 39 182 0.11925 0.71579 500% 45.2 434s
31711 14890 infeasible 38 0.11925 0.71543 500% 45.6 438s
32089 14956 0.64382 51 165 0.11925 0.71520 500% 45.9 442s
32246 14982 0.65695 50 139 0.11925 0.71511 500% 46.1 447s
32700 15086 0.47145 54 155 0.11925 0.71489 500% 46.3 451s
33227 15233 0.43479 61 110 0.11925 0.71457 499% 46.6 455s
33445 15262 0.59411 47 183 0.11925 0.71426 499% 47.1 460s
34368 15504 cutoff 66 0.11925 0.71384 499% 47.7 469s
34448 15494 0.69729 41 185 0.11925 0.71375 499% 47.8 473s
34858 15575 0.43981 57 122 0.11925 0.71354 498% 48.1 478s
35159 15646 0.62569 56 146 0.11925 0.71340 498% 48.5 482s
35528 15715 0.58518 49 161 0.11925 0.71308 498% 48.8 486s
35890 15790 0.67807 48 134 0.11925 0.71260 498% 49.2 490s
36645 15937 0.69602 41 152 0.11925 0.71189 497% 49.8 498s
37113 16037 0.55024 62 111 0.11925 0.71141 497% 50.2 502s
37298 16057 0.65341 53 151 0.11925 0.71134 497% 50.4 507s
37611 16111 infeasible 39 0.11925 0.71110 496% 50.8 511s
37988 16177 0.61193 50 189 0.11925 0.71062 496% 51.1 515s
38404 16228 0.58334 42 165 0.11925 0.71031 496% 51.3 520s
39482 16475 0.62087 58 123 0.11925 0.70969 495% 51.6 528s
39790 16531 0.64826 56 134 0.11925 0.70956 495% 51.9 536s
39844 16520 0.64824 57 131 0.11925 0.70952 495% 51.9 540s
40243 16581 infeasible 65 0.11925 0.70918 495% 52.1 545s
40970 16670 infeasible 58 0.11925 0.70862 494% 52.7 552s
41514 16734 infeasible 70 0.11925 0.70816 494% 52.9 557s
41850 16788 infeasible 63 0.11925 0.70782 494% 53.2 561s
42190 16850 0.60263 48 192 0.11925 0.70759 493% 53.4 565s
43109 17070 0.59271 50 189 0.11925 0.70701 493% 53.8 573s
43447 17138 0.62079 40 195 0.11925 0.70686 493% 53.9 577s
43984 17266 0.46245 43 154 0.11925 0.70663 493% 54.1 582s
44337 17311 cutoff 46 0.11925 0.70640 492% 54.3 586s
44983 17500 0.63026 54 166 0.11925 0.70623 492% 54.4 597s
44991 17490 infeasible 55 0.11925 0.70623 492% 54.4 600s
Cutting planes:
Gomory: 156
Cover: 7
Implied bound: 66
Projected implied bound: 28
Clique: 1
MIR: 175
Flow cover: 610
Inf proof: 158
Explored 45080 nodes (2462635 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.119245 0.119245
Time limit reached
Best objective 1.192454394106e-01, best bound 7.061211271329e-01, gap 492.1578%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5mbl379f.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl239zgt0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.116184
Presolve removed 774 rows and 501 columns
Presolve time: 0.04s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 8.962301e-01, 1053 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89623 0 106 0.11618 0.89623 671% - 0s
0 0 0.84538 0 135 0.11618 0.84538 628% - 0s
0 0 0.84536 0 135 0.11618 0.84536 628% - 0s
0 0 0.83163 0 160 0.11618 0.83163 616% - 0s
0 0 0.83144 0 163 0.11618 0.83144 616% - 0s
0 0 0.82991 0 168 0.11618 0.82991 614% - 0s
0 0 0.82989 0 167 0.11618 0.82989 614% - 0s
0 0 0.82983 0 169 0.11618 0.82983 614% - 0s
0 0 0.82983 0 137 0.11618 0.82983 614% - 0s
0 2 0.82983 0 137 0.11618 0.82983 614% - 0s
738 576 0.28596 75 131 0.11618 0.79375 583% 27.2 5s
1021 630 0.76767 27 139 0.11618 0.79375 583% 42.0 10s
2252 1042 0.42319 49 116 0.11618 0.78775 578% 41.1 15s
4012 2241 0.77698 26 142 0.11618 0.78121 572% 37.6 20s
5466 3164 infeasible 30 0.11618 0.77356 566% 39.3 25s
6784 3979 0.31881 65 96 0.11618 0.76809 561% 40.1 30s
8390 4978 0.51160 37 133 0.11618 0.76615 559% 39.3 35s
9892 5800 infeasible 50 0.11618 0.76392 558% 40.2 40s
11261 6575 0.28420 38 118 0.11618 0.76235 556% 40.3 45s
12670 7362 0.34602 36 102 0.11618 0.76099 555% 40.5 51s
12795 7431 0.28791 38 80 0.11618 0.76006 554% 40.6 55s
14287 8234 0.25818 55 96 0.11618 0.75827 553% 40.6 60s
14538 8379 0.20809 57 98 0.11618 0.75747 552% 40.7 65s
15921 9129 0.69843 32 152 0.11618 0.75638 551% 41.1 70s
17126 9812 0.44721 45 125 0.11618 0.75432 549% 41.2 75s
19057 10882 0.17037 52 64 0.11618 0.75279 548% 40.8 80s
20379 11626 infeasible 91 0.11618 0.75179 547% 41.0 85s
21146 12113 0.14500 60 137 0.11618 0.75144 547% 41.0 105s
21157 12120 0.48801 36 186 0.11618 0.75144 547% 41.0 111s
21162 12124 0.34774 59 190 0.11618 0.75144 547% 41.0 115s
21168 12128 0.14568 62 216 0.11618 0.75144 547% 41.0 120s
21172 12130 0.36421 30 227 0.11618 0.75144 547% 41.0 125s
21176 12133 0.69694 41 236 0.11618 0.75144 547% 41.0 130s
21182 12137 0.39472 41 234 0.11618 0.75144 547% 41.0 135s
21186 12140 0.26340 74 239 0.11618 0.75144 547% 41.0 140s
21194 12145 0.62911 51 223 0.11618 0.75144 547% 40.9 145s
21201 12150 0.49508 44 247 0.11618 0.75144 547% 40.9 150s
21207 12154 0.57073 93 244 0.11618 0.75144 547% 40.9 155s
21212 12157 0.13621 86 240 0.11618 0.75144 547% 40.9 160s
21217 12160 0.32681 56 241 0.11618 0.75144 547% 40.9 165s
21225 12166 0.72553 44 232 0.11618 0.75144 547% 40.9 170s
21230 12169 0.37180 51 239 0.11618 0.75144 547% 40.9 175s
21235 12172 0.32212 50 228 0.11618 0.75144 547% 40.9 180s
21240 12176 0.35825 41 226 0.11618 0.75144 547% 40.9 185s
21245 12179 0.25294 64 244 0.11618 0.75144 547% 40.8 190s
21250 12182 0.28443 47 231 0.11618 0.75144 547% 40.8 195s
21255 12186 0.46318 49 248 0.11618 0.75144 547% 40.8 200s
21261 12190 0.46056 38 249 0.11618 0.75144 547% 40.8 205s
21264 12192 0.73111 35 245 0.11618 0.75144 547% 40.8 210s
21269 12195 0.23057 102 250 0.11618 0.75144 547% 40.8 215s
21275 12199 0.16711 47 250 0.11618 0.75144 547% 40.8 220s
21280 12202 0.74743 43 259 0.11618 0.75144 547% 40.8 225s
21285 12206 0.46901 44 250 0.11618 0.75144 547% 40.8 230s
21289 12208 0.17358 64 247 0.11618 0.75144 547% 40.8 235s
21295 12212 0.60774 33 265 0.11618 0.75144 547% 40.8 240s
21299 12215 0.50510 47 273 0.11618 0.75144 547% 40.7 245s
21301 12216 0.49508 44 264 0.11618 0.75144 547% 40.7 250s
21306 12220 0.37180 51 259 0.11618 0.75144 547% 40.7 256s
21310 12222 0.73643 46 255 0.11618 0.75144 547% 40.7 261s
21315 12226 0.70584 40 269 0.11618 0.75144 547% 40.7 265s
21320 12229 0.39114 62 265 0.11618 0.75144 547% 40.7 270s
21325 12232 0.72553 44 275 0.11618 0.75144 547% 40.7 275s
21330 12236 0.37180 51 275 0.11618 0.75144 547% 40.7 280s
21334 12238 0.53340 57 279 0.11618 0.75144 547% 40.7 285s
21338 12241 0.58406 84 280 0.11618 0.75144 547% 40.7 290s
21343 12244 0.16525 67 274 0.11618 0.75144 547% 40.7 295s
21348 12248 0.73699 44 280 0.11618 0.75144 547% 40.7 300s
21353 12251 0.22064 51 262 0.11618 0.75144 547% 40.6 305s
21355 12252 0.46318 49 270 0.11618 0.75144 547% 40.6 311s
21360 12256 0.12931 75 272 0.11618 0.75144 547% 40.6 315s
21364 12258 0.73111 35 282 0.11618 0.75144 547% 40.6 320s
21367 12260 0.71242 48 275 0.11618 0.75144 547% 40.6 325s
21369 12264 0.75031 25 245 0.11618 0.75144 547% 43.2 347s
21371 12263 0.72225 26 245 0.11618 0.74762 543% 43.3 352s
21374 12262 0.53063 27 221 0.11618 0.73971 537% 43.3 358s
21377 12263 0.49142 28 217 0.11618 0.73600 533% 43.3 362s
21384 12261 infeasible 30 0.11618 0.73490 533% 43.4 365s
21425 12255 infeasible 36 0.11618 0.73472 532% 43.9 370s
21592 12276 0.72895 36 220 0.11618 0.73386 532% 44.9 375s
21758 12308 0.36311 58 136 0.11618 0.73386 532% 45.6 380s
22008 12372 0.66002 38 180 0.11618 0.73061 529% 46.4 385s
22362 12461 infeasible 53 0.11618 0.72856 527% 47.2 390s
22532 12523 0.62986 47 204 0.11618 0.72824 527% 48.0 395s
22860 12600 0.69385 40 204 0.11618 0.72656 525% 48.8 400s
23147 12686 0.58435 55 172 0.11618 0.72601 525% 49.6 405s
23557 12818 0.71457 40 228 0.11618 0.72576 525% 50.0 410s
23958 12951 0.72165 41 214 0.11618 0.72497 524% 50.6 415s
24391 13089 0.67621 45 201 0.11618 0.72405 523% 51.2 420s
24941 13289 0.71841 43 197 0.11618 0.72311 522% 51.7 426s
25172 13332 0.70173 45 202 0.11618 0.72281 522% 52.5 430s
25542 13445 0.29022 88 107 0.11618 0.72179 521% 53.0 435s
*25882 12855 132 0.1161850 0.72170 521% 53.1 438s
26113 13006 0.68054 42 195 0.11618 0.72114 521% 53.4 441s
26572 13141 0.41343 42 137 0.11618 0.72059 520% 53.9 446s
26815 13225 infeasible 43 0.11618 0.72038 520% 54.2 450s
27322 13378 0.52262 53 158 0.11618 0.72002 520% 54.8 456s
27552 13450 0.58571 48 132 0.11618 0.71986 520% 55.0 460s
28382 13696 infeasible 55 0.11618 0.71848 518% 55.4 467s
28666 13761 infeasible 48 0.11618 0.71831 518% 55.6 471s
28949 13814 0.59593 49 152 0.11618 0.71812 518% 55.9 475s
29531 14020 0.29287 52 122 0.11618 0.71761 518% 56.0 480s
30265 14257 infeasible 47 0.11618 0.71703 517% 56.5 487s
30807 14438 0.50703 67 133 0.11618 0.71657 517% 56.8 492s
31180 14515 0.69600 36 235 0.11618 0.71657 517% 57.2 497s
31416 14542 0.58849 44 180 0.11618 0.71568 516% 57.6 503s
31831 14619 0.61579 42 195 0.11618 0.71542 516% 57.9 508s
32393 14760 0.70040 46 204 0.11618 0.71536 516% 58.3 521s
32398 14756 0.70007 47 190 0.11618 0.71488 515% 58.3 526s
32775 14856 0.59475 46 197 0.11618 0.71452 515% 58.5 531s
33190 14958 0.43491 42 183 0.11618 0.71426 515% 58.8 536s
33597 15041 0.62276 56 163 0.11618 0.71413 515% 59.0 541s
34040 15132 0.42695 46 171 0.11618 0.71402 515% 59.3 546s
34590 15266 0.70707 45 186 0.11618 0.71376 514% 59.5 550s
34930 15332 0.60402 47 184 0.11618 0.71353 514% 59.9 555s
35343 15410 infeasible 51 0.11618 0.71315 514% 60.4 560s
35685 15456 0.47987 46 174 0.11618 0.71289 514% 60.7 565s
*35891 14857 129 0.1161862 0.71284 514% 60.8 565s
36407 15027 0.35881 72 120 0.11619 0.71244 513% 61.1 573s
36843 15144 0.14311 88 38 0.11619 0.71232 513% 61.3 579s
37373 15286 0.70747 41 217 0.11619 0.71208 513% 61.2 584s
37891 15409 0.66468 66 155 0.11619 0.71166 513% 61.5 589s
38269 15529 0.53914 42 194 0.11619 0.71163 512% 61.8 593s
38634 15592 0.56031 53 158 0.11619 0.71140 512% 62.1 599s
39167 15745 0.59942 47 181 0.11619 0.71117 512% 62.4 600s
Cutting planes:
Gomory: 182
Cover: 10
Implied bound: 55
Projected implied bound: 28
MIR: 163
StrongCG: 1
Flow cover: 670
Inf proof: 82
Zero half: 8
Explored 39289 nodes (2456179 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.116186 0.116185 0.116184
Time limit reached
Best objective 1.161862059289e-01, best bound 7.111026989946e-01, gap 512.0371%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbfd_jvzy.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2mdmd8_y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.113332
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 8.892225e-01, 1142 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88922 0 117 0.11333 0.88922 685% - 0s
0 0 0.83015 0 111 0.11333 0.83015 632% - 0s
0 0 0.83013 0 111 0.11333 0.83013 632% - 0s
0 0 0.81660 0 135 0.11333 0.81660 621% - 0s
0 0 0.81651 0 135 0.11333 0.81651 620% - 0s
0 0 0.81254 0 131 0.11333 0.81254 617% - 0s
0 0 0.81196 0 136 0.11333 0.81196 616% - 0s
0 0 0.81144 0 142 0.11333 0.81144 616% - 0s
0 0 0.81144 0 142 0.11333 0.81144 616% - 0s
0 0 0.81143 0 144 0.11333 0.81143 616% - 0s
0 0 0.81143 0 128 0.11333 0.81143 616% - 0s
0 2 0.81143 0 128 0.11333 0.81143 616% - 0s
736 516 0.39409 60 143 0.11333 0.77575 584% 38.3 5s
769 535 0.77575 15 139 0.11333 0.77575 584% 44.5 10s
1588 783 0.38907 63 92 0.11333 0.77575 584% 42.7 15s
3008 1462 0.74341 32 154 0.11333 0.76937 579% 38.4 20s
4229 2208 0.76177 31 135 0.11333 0.76591 576% 38.4 25s
5826 3220 0.29650 57 86 0.11333 0.76208 572% 36.8 30s
7373 4235 0.41274 40 139 0.11333 0.75962 570% 37.3 35s
8902 5199 0.74906 40 126 0.11333 0.75815 569% 36.8 40s
10584 6183 infeasible 52 0.11333 0.75667 568% 37.0 45s
11234 6597 0.61120 46 118 0.11333 0.75630 567% 37.2 52s
11411 6675 0.47064 40 89 0.11333 0.75564 567% 37.4 55s
12915 7583 0.30516 53 131 0.11333 0.75444 566% 37.2 60s
H13168 7697 0.1133316 0.75444 566% 37.3 61s
13816 8064 0.39996 40 130 0.11333 0.75350 565% 37.6 65s
15034 8750 0.39244 45 109 0.11333 0.75259 564% 37.6 70s
16258 9389 0.49463 41 88 0.11333 0.75142 563% 38.2 75s
17955 10374 0.65023 38 156 0.11333 0.75023 562% 38.3 80s
19489 11165 0.46323 40 123 0.11333 0.74930 561% 38.7 85s
20532 11756 0.22847 99 128 0.11333 0.74896 561% 39.2 107s
20541 11762 0.71107 43 203 0.11333 0.74896 561% 39.2 110s
20547 11766 0.31045 82 208 0.11333 0.74896 561% 39.2 116s
20554 11771 0.45954 57 218 0.11333 0.74896 561% 39.1 120s
20561 11775 0.29202 63 231 0.11333 0.74896 561% 39.1 126s
20566 11779 0.48111 40 225 0.11333 0.74896 561% 39.1 131s
20569 11781 0.43645 58 230 0.11333 0.74896 561% 39.1 135s
20572 11783 0.37636 55 224 0.11333 0.74896 561% 39.1 140s
20576 11785 0.54615 42 224 0.11333 0.74896 561% 39.1 145s
20582 11789 0.57631 44 231 0.11333 0.74896 561% 39.1 150s
20588 11793 0.33921 54 238 0.11333 0.74896 561% 39.1 156s
20591 11795 0.74604 39 232 0.11333 0.74896 561% 39.1 160s
20595 11798 0.17923 66 241 0.11333 0.74896 561% 39.1 166s
20599 11801 0.23915 87 230 0.11333 0.74896 561% 39.1 170s
20602 11803 0.70317 52 227 0.11333 0.74896 561% 39.1 175s
20607 11806 0.38246 45 223 0.11333 0.74807 560% 39.0 181s
20610 11808 0.38404 53 238 0.11333 0.74757 560% 39.0 185s
20613 11810 0.51475 45 230 0.11333 0.74699 559% 39.0 190s
20617 11813 0.20141 72 241 0.11333 0.74664 559% 39.0 195s
20621 11815 0.28928 93 236 0.11333 0.74636 559% 39.0 200s
20626 11819 0.48576 45 235 0.11333 0.74612 558% 39.0 205s
20631 11822 0.45425 39 256 0.11333 0.74585 558% 39.0 210s
20636 11825 0.74574 32 254 0.11333 0.74574 558% 39.0 215s
20642 11829 0.26355 69 257 0.11333 0.74564 558% 39.0 220s
20647 11833 0.31045 82 260 0.11333 0.74564 558% 39.0 226s
20651 11835 0.42295 43 246 0.11333 0.74561 558% 39.0 230s
20655 11838 0.53374 49 250 0.11333 0.74556 558% 39.0 235s
20660 11841 0.74550 33 266 0.11333 0.74550 558% 38.9 240s
20664 11844 0.71319 40 260 0.11333 0.74546 558% 38.9 245s
20669 11847 0.43645 58 259 0.11333 0.74546 558% 38.9 250s
20672 11849 0.37636 55 252 0.11333 0.74546 558% 38.9 255s
20674 11854 0.74015 21 239 0.11333 0.74546 558% 40.5 263s
20676 11855 0.72727 22 235 0.11333 0.74405 557% 40.5 270s
20688 11854 infeasible 25 0.11333 0.73263 546% 40.9 275s
20747 11873 0.70551 35 176 0.11333 0.73263 546% 41.4 280s
20937 11936 0.71757 25 245 0.11333 0.72994 544% 42.2 287s
H20938 11341 0.1133316 0.72994 544% 42.2 287s
20966 11359 0.62783 27 193 0.11333 0.72994 544% 42.3 291s
21024 11376 infeasible 34 0.11333 0.72994 544% 42.3 297s
21091 11395 infeasible 27 0.11333 0.72776 542% 42.3 301s
21296 11447 0.57895 46 193 0.11333 0.72631 541% 42.8 305s
21604 11559 0.64909 47 203 0.11333 0.72311 538% 43.6 310s
21833 11615 0.68297 36 177 0.11333 0.72267 538% 43.8 315s
22191 11709 0.64801 49 171 0.11333 0.72087 536% 44.6 320s
22469 11806 0.57720 37 185 0.11333 0.71996 535% 45.1 327s
22701 11884 0.69870 37 206 0.11333 0.71963 535% 45.4 331s
23005 11976 infeasible 35 0.11333 0.71955 535% 45.9 336s
23187 12027 0.40088 43 154 0.11333 0.71913 535% 46.4 340s
23598 12177 0.57964 43 175 0.11333 0.71889 534% 47.1 345s
24105 12361 0.70085 41 166 0.11333 0.71706 533% 47.6 351s
24466 12477 0.25066 39 106 0.11333 0.71654 532% 48.1 356s
24725 12523 0.64987 37 203 0.11333 0.71628 532% 48.7 360s
25003 12596 infeasible 36 0.11333 0.71555 531% 49.1 366s
25146 12651 0.66235 44 164 0.11333 0.71548 531% 49.5 370s
25398 12735 0.57257 66 104 0.11333 0.71493 531% 49.8 376s
26034 12937 infeasible 36 0.11333 0.71436 530% 50.2 382s
26213 12971 0.65821 34 161 0.11333 0.71364 530% 50.5 386s
26983 13219 infeasible 36 0.11333 0.71315 529% 51.0 392s
27278 13323 0.51732 79 118 0.11333 0.71285 529% 51.3 396s
27702 13463 cutoff 41 0.11333 0.71267 529% 51.6 400s
28205 13611 0.68068 67 133 0.11333 0.71222 528% 52.4 407s
28481 13681 0.70320 41 185 0.11333 0.71203 528% 52.9 412s
28778 13772 0.65756 56 167 0.11333 0.71197 528% 53.4 416s
29099 13860 infeasible 80 0.11333 0.71189 528% 53.9 420s
29209 13884 0.70451 37 175 0.11333 0.71163 528% 54.3 426s
29583 13971 0.63197 62 134 0.11333 0.71136 528% 54.7 431s
29997 14093 0.63608 48 175 0.11333 0.71123 528% 55.1 436s
30343 14171 0.70097 40 198 0.11333 0.71101 527% 55.6 442s
30596 14195 0.60524 60 160 0.11333 0.71090 527% 56.4 448s
30941 14301 0.70872 38 198 0.11333 0.71077 527% 56.8 453s
31465 14436 0.64066 57 155 0.11333 0.71071 527% 57.3 459s
31868 14473 0.71048 37 197 0.11333 0.71048 527% 57.9 464s
32205 14561 0.71040 38 191 0.11333 0.71040 527% 58.3 469s
32579 14663 0.64426 59 139 0.11333 0.71000 526% 58.7 474s
33082 14780 0.38770 58 136 0.11333 0.70979 526% 59.2 479s
33329 14827 0.41423 58 139 0.11333 0.70971 526% 59.5 484s
33752 14933 0.63471 76 122 0.11333 0.70955 526% 59.8 491s
33808 14935 infeasible 97 0.11333 0.70949 526% 59.8 497s
34239 15057 0.68205 41 186 0.11333 0.70936 526% 60.1 502s
34514 15110 0.58768 62 174 0.11333 0.70928 526% 60.5 509s
34834 15162 0.27587 53 123 0.11333 0.70918 526% 61.0 514s
35162 15231 infeasible 55 0.11333 0.70894 526% 61.4 520s
35500 15321 0.54276 59 153 0.11333 0.70891 526% 61.8 526s
35861 15434 0.59685 33 178 0.11333 0.70879 525% 62.3 539s
35865 15426 infeasible 34 0.11333 0.70879 525% 62.3 544s
36304 15512 0.58465 64 133 0.11333 0.70865 525% 62.5 551s
36661 15616 0.60945 47 168 0.11333 0.70857 525% 62.9 556s
37089 15750 0.65699 48 189 0.11333 0.70850 525% 63.1 562s
37413 15868 0.17490 101 72 0.11333 0.70835 525% 63.5 568s
37823 15959 0.70231 44 199 0.11333 0.70828 525% 63.8 573s
38032 16029 0.69056 45 183 0.11333 0.70819 525% 64.2 579s
38449 16160 0.66961 37 209 0.11333 0.70815 525% 64.5 584s
38862 16320 0.70712 46 194 0.11333 0.70802 525% 64.8 590s
39323 16474 0.68025 48 200 0.11333 0.70796 525% 65.1 595s
39612 16555 0.66816 49 148 0.11333 0.70792 525% 65.4 600s
Cutting planes:
Gomory: 186
Cover: 9
Implied bound: 47
Projected implied bound: 42
MIR: 205
StrongCG: 1
Flow cover: 784
Inf proof: 128
Zero half: 1
Explored 39964 nodes (2621462 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.113332 0.113332 0.113332
Time limit reached
Best objective 1.133315573632e-01, best bound 7.077434894524e-01, gap 524.4893%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb9_ubm1f.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppl8go6an.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.1151
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 8.752147e-01, 1143 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87521 0 112 0.11510 0.87521 660% - 0s
0 0 0.81230 0 125 0.11510 0.81230 606% - 0s
0 0 0.81228 0 125 0.11510 0.81228 606% - 0s
0 0 0.80234 0 151 0.11510 0.80234 597% - 0s
0 0 0.80233 0 151 0.11510 0.80233 597% - 0s
0 0 0.80194 0 151 0.11510 0.80194 597% - 0s
0 0 0.80181 0 148 0.11510 0.80181 597% - 0s
0 0 0.80179 0 156 0.11510 0.80179 597% - 0s
0 0 0.80179 0 138 0.11510 0.80179 597% - 0s
0 2 0.80179 0 136 0.11510 0.80179 597% - 0s
754 632 0.71970 31 127 0.11510 0.77422 573% 36.3 5s
1058 718 0.70720 49 122 0.11510 0.77422 573% 41.7 10s
2254 1143 0.68205 25 163 0.11510 0.77263 571% 40.3 15s
3490 1804 0.41299 38 92 0.11510 0.76791 567% 39.7 20s
4911 2772 0.25373 60 89 0.11510 0.76631 566% 37.6 25s
6420 3749 0.68586 38 146 0.11510 0.76452 564% 36.0 30s
7702 4545 0.43481 23 135 0.11510 0.76367 563% 34.7 35s
8622 5125 0.30696 33 120 0.11510 0.76184 562% 34.6 40s
10412 6157 0.29069 36 110 0.11510 0.75990 560% 34.6 45s
11905 6991 0.75240 27 144 0.11510 0.75791 558% 34.5 50s
12726 7545 0.11915 74 53 0.11510 0.75750 558% 34.3 55s
13998 8310 0.51028 48 116 0.11510 0.75665 557% 34.2 60s
15699 9275 infeasible 42 0.11510 0.75547 556% 34.0 65s
17724 10393 0.46446 43 135 0.11510 0.75396 555% 33.7 70s
19604 11490 0.36408 36 142 0.11510 0.75284 554% 33.4 75s
20703 12108 0.34836 62 138 0.11510 0.75212 553% 33.5 98s
20710 12113 0.62939 23 176 0.11510 0.75212 553% 33.5 101s
20718 12118 0.15630 69 201 0.11510 0.75212 553% 33.5 105s
20724 12122 0.47372 67 206 0.11510 0.75212 553% 33.5 110s
20728 12125 0.54042 50 193 0.11510 0.75212 553% 33.5 115s
20734 12129 0.26936 45 211 0.11510 0.75212 553% 33.4 120s
20739 12132 0.36992 50 215 0.11510 0.75151 553% 33.4 125s
20743 12135 0.13421 94 212 0.11510 0.75089 552% 33.4 130s
20748 12138 0.32759 70 204 0.11510 0.74701 549% 33.4 135s
20753 12141 0.46695 81 209 0.11510 0.74558 548% 33.4 141s
20756 12143 0.66579 48 216 0.11510 0.74542 548% 33.4 145s
20762 12147 0.27446 54 238 0.11510 0.74332 546% 33.4 150s
20765 12149 0.42907 29 226 0.11510 0.74139 544% 33.4 156s
20769 12152 0.67840 35 223 0.11510 0.74066 543% 33.4 160s
20774 12155 0.37391 28 208 0.11510 0.73514 539% 33.4 165s
20782 12161 0.69000 64 224 0.11510 0.73464 538% 33.4 170s
20786 12163 0.39119 44 238 0.11510 0.73462 538% 33.4 175s
20790 12166 0.64303 55 243 0.11510 0.73449 538% 33.4 181s
20795 12169 0.64693 68 235 0.11510 0.73445 538% 33.3 185s
20799 12172 0.22299 56 227 0.11510 0.73433 538% 33.3 190s
20804 12175 0.47741 70 222 0.11510 0.73421 538% 33.3 195s
20809 12179 0.61900 50 233 0.11510 0.73414 538% 33.3 200s
20815 12183 0.34632 56 230 0.11510 0.73409 538% 33.3 205s
20820 12186 0.26808 86 233 0.11510 0.73403 538% 33.3 210s
20824 12189 0.47372 67 226 0.11510 0.73387 538% 33.3 215s
20828 12191 0.54042 50 230 0.11510 0.73375 537% 33.3 220s
20832 12194 0.12108 111 232 0.11510 0.73371 537% 33.3 226s
20834 12195 0.26936 45 230 0.11510 0.73371 537% 33.3 230s
20838 12198 0.58287 90 223 0.11510 0.73365 537% 33.3 235s
20843 12201 0.13421 94 250 0.11510 0.73355 537% 33.3 240s
20848 12205 0.32759 70 237 0.11510 0.73252 536% 33.3 245s
20854 12209 0.22700 58 254 0.11510 0.73215 536% 33.3 250s
20859 12212 0.55214 45 237 0.11510 0.73114 535% 33.2 255s
20865 12216 0.42907 29 240 0.11510 0.73097 535% 33.2 260s
20870 12219 0.49325 55 263 0.11510 0.73084 535% 33.2 265s
20873 12221 0.18410 68 248 0.11510 0.73053 535% 33.2 270s
20877 12224 0.51148 64 251 0.11510 0.73047 535% 33.2 275s
20880 12226 0.14957 72 257 0.11510 0.73018 534% 33.2 280s
H20882 11612 0.1150997 0.73010 534% 33.2 283s
20885 11614 0.17831 70 248 0.11510 0.73000 534% 33.2 286s
20888 11616 0.66539 51 245 0.11510 0.72995 534% 33.2 290s
20894 11620 0.52352 95 251 0.11510 0.72928 534% 33.2 295s
20898 11623 0.22970 56 244 0.11510 0.72874 533% 33.2 300s
20902 11626 0.72868 37 258 0.11510 0.72868 533% 33.2 305s
20906 11628 0.59389 69 244 0.11510 0.72853 533% 33.2 310s
20911 11632 0.12107 110 244 0.11510 0.72852 533% 33.2 315s
20915 11634 0.34632 56 248 0.11510 0.72845 533% 33.2 320s
20921 11638 0.72772 36 250 0.11510 0.72772 532% 33.1 325s
20926 11642 0.69984 38 244 0.11510 0.72759 532% 33.1 331s
20928 11646 0.72759 24 246 0.11510 0.72759 532% 35.6 339s
20930 11648 0.72079 25 250 0.11510 0.72724 532% 35.6 348s
20938 11650 0.69927 26 238 0.11510 0.72356 529% 35.7 350s
20991 11658 cutoff 33 0.11510 0.72343 529% 36.2 356s
21024 11661 0.70700 33 242 0.11510 0.72343 529% 36.3 360s
21059 11674 0.65996 40 204 0.11510 0.72343 529% 36.4 365s
21088 11688 0.55842 49 138 0.11510 0.72343 529% 36.5 370s
21170 11733 0.14455 81 45 0.11510 0.72343 529% 36.6 375s
21242 11765 0.67482 32 210 0.11510 0.72328 528% 36.6 380s
21321 11783 0.29101 48 141 0.11510 0.72328 528% 36.7 386s
21390 11813 0.17822 69 69 0.11510 0.72328 528% 36.9 390s
21535 11873 0.11949 115 29 0.11510 0.72328 528% 37.1 396s
H21546 11286 0.1150997 0.72328 528% 37.1 396s
21548 11279 cutoff 117 0.11510 0.72299 528% 37.1 401s
21736 11311 0.69146 34 226 0.11510 0.72140 527% 37.6 405s
21984 11391 0.20635 65 92 0.11510 0.72038 526% 38.5 410s
22423 11541 0.67391 44 185 0.11510 0.71978 525% 39.2 415s
22761 11649 0.58965 52 165 0.11510 0.71889 525% 39.6 420s
23415 11838 infeasible 85 0.11510 0.71583 522% 40.1 425s
23919 11977 infeasible 47 0.11510 0.71474 521% 40.4 431s
24291 12081 0.70206 42 194 0.11510 0.71450 521% 41.0 436s
24712 12176 0.47098 64 150 0.11510 0.71410 520% 41.4 440s
25238 12282 0.47225 68 153 0.11510 0.71341 520% 42.0 446s
25637 12400 0.59429 77 123 0.11510 0.71298 519% 42.5 451s
26247 12535 0.60270 57 151 0.11510 0.71245 519% 43.0 457s
26511 12573 0.63546 69 133 0.11510 0.71230 519% 43.4 460s
27117 12726 0.62221 95 110 0.11510 0.71174 518% 44.0 466s
27754 12886 0.69780 56 166 0.11510 0.71156 518% 44.5 471s
27956 12907 infeasible 60 0.11510 0.71140 518% 45.0 475s
28577 13074 0.69328 49 159 0.11510 0.71118 518% 45.6 481s
28787 13126 infeasible 47 0.11510 0.71107 518% 45.9 485s
29580 13336 0.69993 46 184 0.11510 0.71083 518% 46.5 505s
29714 13372 0.70283 41 194 0.11510 0.71072 517% 46.6 510s
30442 13549 infeasible 48 0.11510 0.71046 517% 47.2 518s
30838 13624 infeasible 69 0.11510 0.71030 517% 47.6 522s
31289 13719 0.69144 49 177 0.11510 0.71021 517% 48.0 528s
31649 13778 0.57020 45 182 0.11510 0.71006 517% 48.4 532s
32210 13925 infeasible 54 0.11510 0.70995 517% 48.9 536s
32561 13995 0.59357 58 140 0.11510 0.70974 517% 49.3 540s
32835 14068 0.69246 45 160 0.11510 0.70973 517% 49.5 545s
33711 14254 0.69007 51 208 0.11510 0.70937 516% 50.3 552s
33983 14316 0.69165 42 188 0.11510 0.70932 516% 50.8 556s
34484 14418 infeasible 59 0.11510 0.70920 516% 51.1 563s
34512 14412 0.70288 42 174 0.11510 0.70919 516% 51.2 568s
34869 14522 0.69644 44 180 0.11510 0.70908 516% 51.5 572s
35308 14600 0.64848 90 92 0.11510 0.70906 516% 51.8 577s
35859 14729 0.69921 43 186 0.11510 0.70897 516% 52.0 582s
36156 14792 0.70710 42 187 0.11510 0.70886 516% 52.3 586s
36506 14854 0.62265 45 167 0.11510 0.70877 516% 52.7 591s
36804 14901 0.69040 51 169 0.11510 0.70872 516% 53.1 595s
37230 14969 0.69196 40 172 0.11510 0.70866 516% 53.4 600s
Cutting planes:
Gomory: 206
Cover: 6
Implied bound: 35
Projected implied bound: 34
MIR: 210
StrongCG: 2
Flow cover: 733
Inf proof: 100
Zero half: 1
Explored 37547 nodes (2018398 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.1151 0.1151 0.1151
Time limit reached
Best objective 1.150996901962e-01, best bound 7.084904975226e-01, gap 515.5451%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0no14vdd.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcmzxrtr8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.111833
Presolve removed 816 rows and 528 columns
Presolve time: 0.03s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 8.678370e-01, 1136 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86784 0 112 0.11183 0.86784 676% - 0s
0 0 0.80813 0 130 0.11183 0.80813 623% - 0s
0 0 0.80811 0 130 0.11183 0.80811 623% - 0s
0 0 0.79709 0 158 0.11183 0.79709 613% - 0s
0 0 0.79695 0 158 0.11183 0.79695 613% - 0s
0 0 0.79665 0 164 0.11183 0.79665 612% - 0s
0 0 0.79656 0 164 0.11183 0.79656 612% - 0s
0 0 0.79638 0 163 0.11183 0.79638 612% - 0s
0 0 0.79638 0 141 0.11183 0.79638 612% - 0s
0 2 0.79638 0 139 0.11183 0.79638 612% - 0s
784 594 0.70551 50 146 0.11183 0.75471 575% 35.2 5s
1627 912 0.46670 37 99 0.11183 0.75471 575% 37.8 10s
3029 1574 0.46263 27 132 0.11183 0.75471 575% 37.8 15s
4342 2464 0.71462 23 127 0.11183 0.75471 575% 39.6 20s
5937 3591 0.30969 61 104 0.11183 0.75471 575% 38.7 25s
7601 4736 0.48568 113 114 0.11183 0.75471 575% 37.3 30s
9386 5980 0.75253 30 151 0.11183 0.75471 575% 36.7 35s
10890 6985 0.38700 28 156 0.11183 0.75471 575% 36.4 40s
12768 8192 0.67432 28 163 0.11183 0.75471 575% 36.1 45s
H12984 8353 0.1118329 0.75471 575% 36.0 48s
12994 8356 infeasible 35 0.11183 0.75471 575% 36.0 50s
14568 9316 0.35622 32 119 0.11183 0.75471 575% 35.9 56s
16309 10455 0.29312 40 82 0.11183 0.75471 575% 35.7 60s
17464 11194 infeasible 78 0.11183 0.75471 575% 35.9 66s
18095 11558 0.62601 35 126 0.11183 0.75471 575% 36.0 70s
19513 12398 0.56890 32 160 0.11183 0.75471 575% 36.3 75s
20713 13132 0.72726 40 141 0.11183 0.75425 574% 36.3 99s
20716 13134 0.22351 35 174 0.11183 0.75425 574% 36.3 100s
20725 13140 0.43902 62 184 0.11183 0.74204 564% 36.3 106s
20731 13144 0.46849 56 190 0.11183 0.73910 561% 36.3 110s
20735 13147 0.16409 44 204 0.11183 0.73728 559% 36.3 115s
20739 13149 0.50015 105 216 0.11183 0.73480 557% 36.2 120s
20744 13153 0.42642 31 207 0.11183 0.73189 554% 36.2 125s
20748 13155 0.47988 41 210 0.11183 0.73097 554% 36.2 130s
20753 13159 0.23941 57 228 0.11183 0.73032 553% 36.2 135s
20757 13161 0.62805 28 226 0.11183 0.73012 553% 36.2 140s
20762 13165 0.28503 44 233 0.11183 0.72999 553% 36.2 145s
20766 13167 0.24467 97 217 0.11183 0.72812 551% 36.2 150s
20770 13170 0.23078 68 234 0.11183 0.72780 551% 36.2 156s
20773 13172 0.21428 63 226 0.11183 0.72766 551% 36.2 160s
H20773 12512 0.1118329 0.72764 551% 36.2 161s
20778 12515 0.71405 41 220 0.11183 0.72752 551% 36.2 166s
20781 12517 0.52885 33 224 0.11183 0.72744 550% 36.2 170s
20785 12520 0.51306 33 222 0.11183 0.72744 550% 36.2 175s
20789 12523 0.38104 40 218 0.11183 0.72714 550% 36.2 180s
20792 12525 0.59949 33 220 0.11183 0.72702 550% 36.2 185s
20795 12527 0.71179 33 231 0.11183 0.72659 550% 36.2 190s
20800 12530 0.23676 46 235 0.11183 0.72631 549% 36.1 196s
20802 12531 0.17073 64 230 0.11183 0.72630 549% 36.1 200s
20805 12533 0.35122 76 238 0.11183 0.72623 549% 36.1 205s
20808 12535 0.20299 55 225 0.11183 0.72382 547% 36.1 210s
20811 12537 0.12779 91 240 0.11183 0.72356 547% 36.1 215s
20814 12539 0.68403 49 227 0.11183 0.72338 547% 36.1 221s
20816 12541 0.22351 35 246 0.11183 0.72325 547% 36.1 225s
20820 12543 0.20937 57 239 0.11183 0.72310 547% 36.1 231s
20822 12545 0.19414 49 236 0.11183 0.72309 547% 36.1 235s
20826 12547 0.61732 31 242 0.11183 0.72308 547% 36.1 240s
20829 12549 0.49279 34 244 0.11183 0.72280 546% 36.1 245s
20834 12553 0.12239 96 245 0.11183 0.72279 546% 36.1 250s
20837 12555 0.38956 42 240 0.11183 0.72274 546% 36.1 255s
20842 12558 0.11274 110 239 0.11183 0.72270 546% 36.1 261s
20846 12561 0.22513 55 241 0.11183 0.72253 546% 36.1 266s
20848 12562 0.47988 41 242 0.11183 0.72249 546% 36.1 270s
20853 12565 0.23941 57 243 0.11183 0.72245 546% 36.1 275s
20856 12567 0.50804 39 234 0.11183 0.72244 546% 36.0 280s
20860 12570 0.67368 42 237 0.11183 0.72244 546% 36.0 286s
20863 12572 0.53111 87 244 0.11183 0.72244 546% 36.0 290s
20866 12574 0.24467 97 236 0.11183 0.72181 545% 36.0 296s
20868 12575 0.68913 58 239 0.11183 0.72181 545% 36.0 300s
20872 12578 0.25940 41 240 0.11183 0.72173 545% 36.0 305s
20876 12581 0.18768 40 247 0.11183 0.72173 545% 36.0 311s
20878 12582 0.71405 41 245 0.11183 0.72172 545% 36.0 315s
20882 12585 0.16503 54 250 0.11183 0.72172 545% 36.0 320s
20885 12587 0.51306 33 243 0.11183 0.72166 545% 36.0 325s
20887 12588 0.12161 121 241 0.11183 0.72166 545% 36.0 330s
20890 12590 0.61324 76 241 0.11183 0.72162 545% 36.0 336s
20893 12592 0.50483 49 249 0.11183 0.72155 545% 36.0 340s
20896 12594 0.19038 41 249 0.11183 0.72155 545% 36.0 345s
20900 12597 0.23676 46 234 0.11183 0.72154 545% 36.0 350s
20904 12599 0.15026 69 236 0.11183 0.72150 545% 36.0 356s
20908 12602 0.20299 55 248 0.11183 0.72150 545% 36.0 360s
20911 12604 0.12779 91 246 0.11183 0.72150 545% 36.0 365s
20913 12608 0.72134 26 237 0.11183 0.72134 545% 38.5 373s
20915 12611 0.70951 27 241 0.11183 0.71954 543% 38.5 381s
20935 12616 0.69985 29 250 0.11183 0.71510 539% 38.7 386s
20940 12617 infeasible 30 0.11183 0.71510 539% 38.8 390s
20993 12632 0.70478 33 242 0.11183 0.71492 539% 39.2 395s
21048 12648 0.71206 31 243 0.11183 0.71376 538% 39.7 400s
21077 12653 0.70834 36 225 0.11183 0.71376 538% 40.0 405s
21257 12675 0.69724 30 240 0.11183 0.71341 538% 40.7 410s
21450 12737 0.55204 60 158 0.11183 0.71320 538% 41.6 418s
21490 12753 0.69988 32 248 0.11183 0.71320 538% 41.8 420s
21829 12849 0.70670 33 245 0.11183 0.71206 537% 42.7 425s
21933 12860 0.64686 46 207 0.11183 0.71073 536% 43.8 430s
22116 12896 infeasible 35 0.11183 0.70834 533% 44.7 435s
22303 12918 0.59260 36 223 0.11183 0.70685 532% 45.5 441s
H22321 12291 0.1118337 0.70685 532% 45.5 441s
22404 12319 infeasible 44 0.11183 0.70654 532% 45.8 445s
22699 12396 0.64389 32 201 0.11183 0.70611 531% 46.5 450s
22943 12456 0.52693 96 89 0.11183 0.70591 531% 46.9 455s
23153 12530 0.68251 46 186 0.11183 0.70581 531% 47.6 460s
23348 12608 0.61567 48 182 0.11183 0.70564 531% 48.1 466s
23608 12681 0.53406 41 199 0.11183 0.70492 530% 48.7 471s
23901 12762 0.60815 45 224 0.11183 0.70483 530% 49.4 477s
24022 12796 0.62925 73 180 0.11183 0.70475 530% 49.7 481s
24151 12822 0.69044 36 219 0.11183 0.70445 530% 50.2 486s
24314 12860 0.63797 48 200 0.11183 0.70426 530% 50.4 490s
24696 12950 0.68746 40 224 0.11183 0.70397 529% 51.1 496s
24952 13026 0.48674 60 126 0.11183 0.70385 529% 51.3 500s
25274 13130 0.47065 68 120 0.11183 0.70334 529% 52.0 506s
25524 13196 infeasible 48 0.11183 0.70316 529% 52.1 511s
25766 13244 0.66770 46 201 0.11183 0.70297 529% 52.6 515s
25974 13311 0.68808 32 245 0.11183 0.70292 529% 53.2 528s
26002 13309 infeasible 44 0.11183 0.70279 528% 53.5 532s
26185 13360 0.68908 52 199 0.11183 0.70262 528% 54.0 537s
26381 13404 0.59812 41 231 0.11183 0.70239 528% 54.6 542s
26658 13486 0.58700 45 227 0.11183 0.70216 528% 55.0 547s
26988 13564 infeasible 54 0.11183 0.70187 528% 55.5 552s
27186 13615 0.51358 53 99 0.11183 0.70174 527% 56.1 557s
27605 13772 0.69701 41 207 0.11183 0.70154 527% 56.4 563s
27882 13840 0.69402 37 226 0.11183 0.70138 527% 57.0 568s
28224 13938 0.48480 48 201 0.11183 0.70117 527% 57.6 574s
28526 14047 0.68562 49 181 0.11183 0.70097 527% 58.2 580s
28756 14105 infeasible 61 0.11183 0.70074 527% 58.9 586s
28833 14117 0.56267 49 198 0.11183 0.70069 527% 59.2 592s
29203 14240 0.68216 40 220 0.11183 0.70042 526% 59.8 600s
Cutting planes:
Gomory: 192
Cover: 5
Implied bound: 28
Projected implied bound: 42
MIR: 204
Flow cover: 755
Inf proof: 61
Zero half: 1
Explored 29661 nodes (1796060 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.111834 0.111833 0.111833 0.111833
Time limit reached
Best objective 1.118336529179e-01, best bound 7.003017878591e-01, gap 526.1995%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx48bddah.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppv2exdvy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.109744
Presolve removed 830 rows and 537 columns
Presolve time: 0.03s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 8.520023e-01, 1376 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85200 0 113 0.10974 0.85200 676% - 0s
0 0 0.79286 0 132 0.10974 0.79286 622% - 0s
0 0 0.79284 0 132 0.10974 0.79284 622% - 0s
0 0 0.78277 0 159 0.10974 0.78277 613% - 0s
0 0 0.78277 0 159 0.10974 0.78277 613% - 0s
0 0 0.78179 0 166 0.10974 0.78179 612% - 0s
0 0 0.78179 0 166 0.10974 0.78179 612% - 0s
0 0 0.78109 0 167 0.10974 0.78109 612% - 0s
0 0 0.78097 0 166 0.10974 0.78097 612% - 0s
0 0 0.78095 0 167 0.10974 0.78095 612% - 0s
0 0 0.78095 0 146 0.10974 0.78095 612% - 0s
0 2 0.78095 0 145 0.10974 0.78095 612% - 0s
755 584 0.55058 104 134 0.10974 0.75513 588% 33.5 5s
996 689 0.53742 40 128 0.10974 0.75513 588% 41.2 10s
2006 1056 0.58690 22 161 0.10974 0.75513 588% 44.6 15s
3375 1902 0.34237 23 156 0.10974 0.75513 588% 39.6 20s
4278 2530 0.55169 24 161 0.10974 0.75513 588% 38.1 25s
5981 3753 0.40934 34 150 0.10974 0.75513 588% 36.2 30s
6977 4446 0.32811 50 138 0.10974 0.75513 588% 36.9 35s
8924 5833 0.34214 54 104 0.10974 0.75370 587% 35.5 40s
10341 6881 0.46392 37 124 0.10974 0.75286 586% 35.2 45s
11202 7479 0.75009 30 160 0.10974 0.75228 585% 34.9 50s
12781 8532 0.47709 40 139 0.10974 0.75125 585% 35.2 56s
13286 8872 0.64309 53 160 0.10974 0.75088 584% 35.7 60s
13907 9315 0.74654 28 163 0.10974 0.75050 584% 35.8 65s
14687 9868 0.17532 54 114 0.10974 0.74973 583% 35.7 72s
15110 10190 0.17978 66 98 0.10974 0.74960 583% 35.5 75s
16668 11268 0.52466 47 154 0.10974 0.74807 582% 35.4 80s
17854 12053 0.54947 47 166 0.10974 0.74688 581% 35.7 85s
19648 13220 0.38240 55 119 0.10974 0.74570 579% 36.1 90s
20991 14111 0.37853 52 146 0.10974 0.74509 579% 36.0 114s
20993 14112 0.73048 28 120 0.10974 0.74509 579% 36.0 115s
21005 14120 0.46542 30 195 0.10974 0.74211 576% 36.0 121s
21011 14124 0.66298 60 210 0.10974 0.73911 573% 36.0 125s
21014 14126 0.31733 48 218 0.10974 0.73728 572% 36.0 130s
21018 14129 0.65980 37 234 0.10974 0.73608 571% 36.0 135s
21025 14134 0.71531 35 220 0.10974 0.73468 569% 36.0 140s
21031 14138 0.67307 30 235 0.10974 0.73386 569% 36.0 145s
21036 14141 0.51136 120 227 0.10974 0.73343 568% 36.0 150s
21042 14145 0.58248 75 235 0.10974 0.73280 568% 35.9 155s
21047 14148 0.41503 35 236 0.10974 0.73252 567% 35.9 160s
21052 14152 0.27100 72 248 0.10974 0.73196 567% 35.9 165s
21056 14154 0.46085 39 237 0.10974 0.73145 567% 35.9 170s
21061 14158 0.69394 47 246 0.10974 0.73037 566% 35.9 175s
21065 14160 0.27607 65 265 0.10974 0.72968 565% 35.9 181s
21069 14163 0.72132 39 255 0.10974 0.72915 564% 35.9 185s
21074 14166 0.66144 57 249 0.10974 0.72830 564% 35.9 190s
21077 14168 0.28879 58 251 0.10974 0.72809 563% 35.9 195s
21081 14171 0.26683 77 257 0.10974 0.72780 563% 35.9 200s
21086 14174 0.30781 42 249 0.10974 0.72731 563% 35.9 205s
21091 14178 0.37853 52 258 0.10974 0.72720 563% 35.9 210s
21095 14180 0.32539 47 253 0.10974 0.72711 563% 35.9 215s
21100 14184 0.44698 37 246 0.10974 0.72699 562% 35.8 220s
21105 14187 0.46542 30 259 0.10974 0.72694 562% 35.8 225s
21108 14189 0.34597 29 266 0.10974 0.72691 562% 35.8 230s
21113 14192 0.26475 75 265 0.10974 0.72678 562% 35.8 235s
21117 14195 0.69434 44 268 0.10974 0.72672 562% 35.8 240s
21121 14198 0.56475 67 262 0.10974 0.72669 562% 35.8 245s
21124 14200 0.10982 119 255 0.10974 0.72590 561% 35.8 250s
21129 14203 0.50606 102 265 0.10974 0.72559 561% 35.8 256s
21133 14206 0.54401 106 258 0.10974 0.72546 561% 35.8 260s
21137 14208 0.60117 64 257 0.10974 0.72531 561% 35.8 265s
21140 14210 0.60245 83 263 0.10974 0.72513 561% 35.8 270s
21143 14212 0.52146 48 267 0.10974 0.72506 561% 35.8 275s
21149 14216 0.51269 52 255 0.10974 0.72505 561% 35.8 280s
21153 14219 0.48370 46 256 0.10974 0.72504 561% 35.8 286s
21155 14220 0.67281 60 261 0.10974 0.72503 561% 35.8 292s
21157 14222 0.23992 89 260 0.10974 0.72503 561% 35.8 295s
21162 14225 0.53520 35 260 0.10974 0.72413 560% 35.7 300s
21167 14228 0.54396 30 266 0.10974 0.72299 559% 35.7 305s
21171 14231 0.20132 58 268 0.10974 0.72291 559% 35.7 310s
21175 14234 0.47337 70 262 0.10974 0.72282 559% 35.7 315s
21179 14236 0.28341 71 273 0.10974 0.72074 557% 35.7 320s
21184 14240 0.55182 92 264 0.10974 0.72040 556% 35.7 325s
21189 14243 0.34334 49 277 0.10974 0.72030 556% 35.7 330s
21194 14246 0.16187 58 269 0.10974 0.72013 556% 35.7 338s
21196 14248 0.19755 71 274 0.10974 0.72006 556% 35.7 340s
21200 14250 0.44698 37 278 0.10974 0.71984 556% 35.7 345s
21204 14253 0.13806 90 267 0.10974 0.71932 555% 35.7 350s
21208 14256 0.34597 29 265 0.10974 0.71918 555% 35.7 356s
21212 14258 0.27575 65 274 0.10974 0.71908 555% 35.7 361s
H21214 13546 0.1097441 0.71908 555% 38.4 380s
21216 13549 0.70960 26 267 0.10974 0.71573 552% 38.5 387s
21220 13550 0.70559 27 290 0.10974 0.71020 547% 38.6 394s
21224 13549 infeasible 27 0.10974 0.70727 544% 38.6 395s
21262 13556 0.61151 32 224 0.10974 0.70727 544% 39.2 400s
21382 13591 0.66323 36 218 0.10974 0.70536 543% 39.8 405s
21617 13658 infeasible 34 0.10974 0.70485 542% 40.3 411s
21748 13704 0.23891 65 134 0.10974 0.70485 542% 41.1 415s
21930 13741 0.66762 45 229 0.10974 0.70079 539% 41.9 420s
22004 13756 0.56962 80 167 0.10974 0.70079 539% 42.2 425s
22131 13785 0.53341 38 238 0.10974 0.69908 537% 43.3 430s
22453 13905 infeasible 40 0.10974 0.69730 535% 44.2 436s
22646 13955 0.53779 40 209 0.10974 0.69730 535% 44.8 440s
22816 14012 0.16867 51 111 0.10974 0.69667 535% 45.4 445s
23050 14059 0.69525 41 252 0.10974 0.69651 535% 46.1 450s
23292 14132 0.68503 43 230 0.10974 0.69642 535% 47.0 457s
23407 14163 0.69392 44 256 0.10974 0.69606 534% 47.6 461s
23505 14195 0.67837 65 193 0.10974 0.69603 534% 47.9 465s
23735 14290 0.64510 62 209 0.10974 0.69574 534% 48.6 470s
23987 14367 0.63510 35 258 0.10974 0.69539 534% 49.3 475s
24171 14402 infeasible 54 0.10974 0.69527 534% 50.3 483s
24179 14408 0.65183 55 204 0.10974 0.69511 533% 50.4 485s
24539 14506 0.67335 45 205 0.10974 0.69502 533% 51.1 492s
24686 14553 0.69155 46 247 0.10974 0.69497 533% 51.6 496s
24862 14627 0.47615 66 182 0.10974 0.69450 533% 51.9 500s
25316 14772 0.16788 106 92 0.10974 0.69434 533% 52.4 506s
25484 14828 0.68209 45 193 0.10974 0.69420 533% 52.7 511s
25728 14924 0.65623 42 230 0.10974 0.69392 532% 53.4 515s
26128 15036 0.68484 44 197 0.10974 0.69357 532% 54.0 523s
26349 15100 0.68661 47 208 0.10974 0.69354 532% 54.5 542s
26354 15094 0.67863 48 200 0.10974 0.69340 532% 54.7 547s
26515 15142 0.66608 50 175 0.10974 0.69331 532% 55.3 551s
26889 15267 infeasible 48 0.10974 0.69327 532% 55.5 557s
27218 15322 0.67738 52 201 0.10974 0.69284 531% 56.0 562s
27467 15433 0.67564 33 234 0.10974 0.69272 531% 56.5 567s
27715 15505 0.49246 55 171 0.10974 0.69259 531% 57.1 572s
27969 15559 0.55313 46 204 0.10974 0.69238 531% 57.8 577s
28244 15621 0.38745 46 164 0.10974 0.69213 531% 58.6 582s
28622 15739 0.61546 82 160 0.10974 0.69194 531% 59.0 587s
28826 15760 0.54147 47 195 0.10974 0.69162 530% 59.5 593s
29228 15869 0.65023 67 160 0.10974 0.69130 530% 60.1 600s
Cutting planes:
Gomory: 199
Cover: 8
Implied bound: 38
Projected implied bound: 42
Clique: 2
MIR: 209
StrongCG: 2
Flow cover: 827
Inf proof: 46
Zero half: 2
Explored 29654 nodes (1798266 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.109744 0.109744
Time limit reached
Best objective 1.097440942757e-01, best bound 6.909485441974e-01, gap 529.5998%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4eekg7w7.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprp8b545t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.10719
Presolve removed 844 rows and 546 columns
Presolve time: 0.06s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.454917e-01, 1224 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.84549 0 117 0.10719 0.84549 689% - 0s
0 0 0.79177 0 149 0.10719 0.79177 639% - 0s
0 0 0.79176 0 149 0.10719 0.79176 639% - 0s
0 0 0.77918 0 174 0.10719 0.77918 627% - 0s
0 0 0.77917 0 174 0.10719 0.77917 627% - 0s
0 0 0.77828 0 182 0.10719 0.77828 626% - 0s
0 0 0.77826 0 183 0.10719 0.77826 626% - 0s
0 0 0.77778 0 183 0.10719 0.77778 626% - 0s
0 0 0.77778 0 184 0.10719 0.77778 626% - 0s
0 0 0.77752 0 186 0.10719 0.77752 625% - 0s
0 0 0.77752 0 163 0.10719 0.77752 625% - 0s
0 2 0.77752 0 159 0.10719 0.77752 625% - 0s
773 606 0.66484 102 146 0.10719 0.75532 605% 28.7 5s
1357 751 0.74455 26 141 0.10719 0.75532 605% 35.9 10s
2884 1366 0.40142 65 169 0.10719 0.75532 605% 33.1 15s
4386 2372 0.62390 25 162 0.10719 0.75231 602% 33.4 20s
4930 2731 0.72771 35 166 0.10719 0.75103 601% 34.4 25s
6281 3602 0.50985 44 136 0.10719 0.74992 600% 34.6 30s
7685 4469 0.36253 30 172 0.10719 0.74851 598% 35.1 35s
8705 5073 0.23651 70 96 0.10719 0.74766 598% 35.9 40s
9394 5434 cutoff 74 0.10719 0.74697 597% 36.4 45s
11192 6484 0.74207 37 135 0.10719 0.74575 596% 36.3 50s
11891 6893 0.25573 72 98 0.10719 0.74575 596% 36.8 55s
12529 7229 0.51376 39 141 0.10719 0.74462 595% 37.3 60s
H13104 7615 0.1071903 0.74416 594% 37.3 62s
13277 7691 cutoff 48 0.10719 0.74374 594% 37.8 65s
14481 8455 0.30105 68 131 0.10719 0.74314 593% 37.7 70s
15907 9330 0.39330 34 117 0.10719 0.74208 592% 38.1 75s
16662 9732 0.24798 36 183 0.10719 0.74166 592% 38.3 82s
16849 9841 0.70527 37 160 0.10719 0.74115 591% 38.5 85s
18076 10563 cutoff 87 0.10719 0.74061 591% 38.4 90s
19780 11599 0.38447 80 143 0.10719 0.73937 590% 38.2 95s
20981 12227 0.53892 36 163 0.10719 0.73892 589% 37.9 119s
20983 12228 0.72759 38 128 0.10719 0.73892 589% 37.9 120s
20993 12235 0.36356 45 198 0.10719 0.73892 589% 37.9 125s
20998 12238 0.34088 62 223 0.10719 0.73892 589% 37.9 131s
21001 12240 0.48627 36 237 0.10719 0.73892 589% 37.9 135s
21005 12243 0.55362 43 240 0.10719 0.73892 589% 37.8 140s
21010 12246 0.65059 63 226 0.10719 0.73892 589% 37.8 145s
21014 12249 0.42583 51 245 0.10719 0.73892 589% 37.8 150s
21018 12252 0.50382 34 215 0.10719 0.73868 589% 37.8 155s
21025 12256 0.42019 95 246 0.10719 0.73068 582% 37.8 161s
21029 12259 0.41927 43 257 0.10719 0.73030 581% 37.8 165s
21033 12262 0.23177 52 260 0.10719 0.72839 580% 37.8 170s
21036 12264 0.71457 44 251 0.10719 0.72774 579% 37.8 175s
21039 12266 0.27822 80 262 0.10719 0.72756 579% 37.8 180s
21042 12268 0.12773 81 251 0.10719 0.72723 578% 37.8 185s
21045 12270 0.53107 38 282 0.10719 0.72699 578% 37.8 190s
21048 12272 0.30901 49 262 0.10719 0.72686 578% 37.8 195s
21052 12274 0.41026 38 258 0.10719 0.72504 576% 37.8 201s
21056 12277 0.34905 71 286 0.10719 0.72448 576% 37.8 205s
21059 12279 0.30156 55 290 0.10719 0.72378 575% 37.7 210s
21064 12282 0.68039 46 282 0.10719 0.72088 573% 37.7 215s
21067 12284 0.67142 35 277 0.10719 0.72076 572% 37.7 221s
21071 12287 0.20524 79 286 0.10719 0.72026 572% 37.7 225s
21077 12291 0.44465 54 296 0.10719 0.71943 571% 37.7 230s
21082 12294 0.66164 48 279 0.10719 0.71865 570% 37.7 235s
21086 12297 0.17068 75 271 0.10719 0.71834 570% 37.7 241s
21088 12298 0.22412 57 285 0.10719 0.71818 570% 37.7 245s
21091 12300 0.32726 50 283 0.10719 0.71797 570% 37.7 250s
21094 12302 0.69041 52 287 0.10719 0.71797 570% 37.7 256s
21097 12304 0.64318 33 274 0.10719 0.71784 570% 37.7 260s
21100 12306 0.22093 51 265 0.10719 0.71772 570% 37.7 265s
21104 12309 0.25600 107 265 0.10719 0.71754 569% 37.7 270s
21108 12312 0.41338 48 269 0.10719 0.71752 569% 37.7 275s
21112 12314 0.71745 40 268 0.10719 0.71745 569% 37.7 281s
21114 12316 0.42583 51 274 0.10719 0.71740 569% 37.7 285s
21118 12318 0.50382 34 264 0.10719 0.71731 569% 37.6 290s
21124 12322 0.49013 40 274 0.10719 0.71710 569% 37.6 296s
21126 12324 0.60860 41 285 0.10719 0.71706 569% 37.6 301s
21129 12326 0.41927 43 287 0.10719 0.71701 569% 37.6 305s
21132 12328 0.19900 74 284 0.10719 0.71694 569% 37.6 310s
21137 12331 0.19246 67 298 0.10719 0.71690 569% 37.6 315s
21141 12334 0.55922 42 284 0.10719 0.71689 569% 37.6 320s
21145 12336 0.53107 38 288 0.10719 0.71686 569% 37.6 325s
21149 12339 0.32482 46 288 0.10719 0.71666 569% 37.6 330s
21153 12342 0.41309 38 292 0.10719 0.71650 568% 37.6 335s
21158 12345 0.23611 99 287 0.10719 0.71582 568% 37.6 340s
21162 12348 0.35724 49 296 0.10719 0.71577 568% 37.6 348s
21164 12349 0.68039 46 299 0.10719 0.71572 568% 37.6 351s
21166 12350 0.64865 46 303 0.10719 0.71572 568% 37.6 355s
21171 12354 0.20524 79 297 0.10719 0.71571 568% 37.6 360s
21175 12356 0.47946 38 304 0.10719 0.71569 568% 37.5 365s
21180 12360 0.18257 64 308 0.10719 0.71542 567% 37.5 370s
21183 12362 0.71530 38 314 0.10719 0.71530 567% 37.5 375s
21187 12364 0.32967 45 301 0.10719 0.71525 567% 37.5 380s
21191 12367 0.32726 50 299 0.10719 0.71518 567% 37.5 385s
21196 12370 0.39448 38 314 0.10719 0.71514 567% 37.5 390s
21201 12374 0.48627 36 308 0.10719 0.71506 567% 37.5 395s
21204 12376 0.25600 107 308 0.10719 0.71493 567% 37.5 401s
21206 12380 0.71457 27 292 0.10719 0.71492 567% 41.1 409s
21208 12382 0.70546 28 284 0.10719 0.71278 565% 41.1 416s
21212 12382 infeasible 29 0.10719 0.70653 559% 41.2 424s
21216 12381 0.67365 29 262 0.10719 0.70451 557% 41.3 426s
21236 12392 0.67303 32 258 0.10719 0.70413 557% 41.5 432s
21262 12394 0.69994 32 282 0.10719 0.70279 556% 41.8 435s
21297 12410 0.62020 42 248 0.10719 0.70279 556% 42.2 442s
21344 12424 0.54607 53 225 0.10719 0.70279 556% 42.5 448s
21398 12442 0.40348 71 143 0.10719 0.70279 556% 42.8 451s
21533 12467 cutoff 34 0.10719 0.70150 554% 43.3 456s
21590 12480 0.58000 39 267 0.10719 0.70150 554% 43.8 461s
21749 12500 0.68130 43 273 0.10719 0.70021 553% 44.5 465s
21846 12515 0.68766 44 270 0.10719 0.70020 553% 45.6 470s
21886 12529 0.67122 48 267 0.10719 0.70020 553% 45.8 476s
21991 12564 0.65546 56 247 0.10719 0.70020 553% 46.0 480s
22124 12610 0.63958 40 248 0.10719 0.69914 552% 47.1 485s
22230 12635 0.68343 34 266 0.10719 0.69830 551% 48.1 490s
22501 12738 0.64164 46 243 0.10719 0.69797 551% 48.8 496s
22666 12781 0.69433 42 276 0.10719 0.69715 550% 49.4 500s
22885 12853 0.46242 99 154 0.10719 0.69655 550% 50.4 506s
23065 12910 0.69541 40 286 0.10719 0.69629 550% 51.2 511s
23280 12985 0.69465 41 264 0.10719 0.69620 550% 51.9 517s
23398 13043 0.52642 47 212 0.10719 0.69548 549% 52.3 520s
23574 13115 0.47105 57 185 0.10719 0.69548 549% 53.3 529s
23626 13106 infeasible 63 0.10719 0.69525 549% 53.6 533s
23763 13144 0.68195 49 240 0.10719 0.69465 548% 54.1 536s
23833 13160 0.69388 42 262 0.10719 0.69460 548% 54.8 541s
24043 13206 0.68060 48 248 0.10719 0.69460 548% 55.5 547s
24131 13229 0.65925 53 247 0.10719 0.69433 548% 56.1 553s
24196 13237 infeasible 38 0.10719 0.69418 548% 56.7 556s
24272 13246 0.68049 50 237 0.10719 0.69410 548% 57.5 560s
24522 13344 0.67666 44 269 0.10719 0.69382 547% 57.9 566s
24552 13353 0.67654 45 269 0.10719 0.69382 547% 58.1 571s
24683 13397 0.52728 58 213 0.10719 0.69373 547% 58.7 576s
24981 13508 0.66140 51 185 0.10719 0.69344 547% 59.1 580s
25328 13597 0.67427 50 223 0.10719 0.69299 547% 60.3 589s
25454 13623 0.42677 44 198 0.10719 0.69293 546% 61.1 593s
25692 13708 0.67916 41 280 0.10719 0.69278 546% 61.6 600s
Cutting planes:
Gomory: 197
Cover: 9
Implied bound: 30
Projected implied bound: 60
Clique: 1
MIR: 191
StrongCG: 1
Flow cover: 892
Inf proof: 44
Zero half: 1
Explored 25765 nodes (1599465 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.10719 0.10719
Time limit reached
Best objective 1.071902527731e-01, best bound 6.927814872687e-01, gap 546.3102%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp08uenq6n.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnv5e36f5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.11267
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.393929e-01, 1289 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.83939 0 116 0.11267 0.83939 645% - 0s
0 0 0.78601 0 153 0.11267 0.78601 598% - 0s
0 0 0.78599 0 153 0.11267 0.78599 598% - 0s
0 0 0.77787 0 168 0.11267 0.77787 590% - 0s
0 0 0.77775 0 166 0.11267 0.77775 590% - 0s
0 0 0.77475 0 178 0.11267 0.77475 588% - 0s
0 0 0.77469 0 178 0.11267 0.77469 588% - 0s
0 0 0.77469 0 179 0.11267 0.77469 588% - 0s
0 0 0.77469 0 181 0.11267 0.77469 588% - 0s
0 0 0.77465 0 181 0.11267 0.77465 588% - 0s
0 0 0.77465 0 160 0.11267 0.77465 588% - 0s
0 2 0.77465 0 160 0.11267 0.77465 588% - 0s
774 628 0.69738 53 143 0.11267 0.74902 565% 32.5 5s
1109 788 0.71004 38 145 0.11267 0.74902 565% 37.5 10s
2379 1199 0.73136 23 152 0.11267 0.74764 564% 34.8 15s
3442 1821 infeasible 18 0.11267 0.74238 559% 36.9 20s
4285 2236 0.57478 28 164 0.11267 0.73936 556% 40.6 25s
4883 2526 0.21149 45 165 0.11267 0.73634 554% 42.4 30s
6199 3395 0.71521 27 152 0.11267 0.73378 551% 40.7 35s
7761 4365 0.13098 86 41 0.11267 0.73143 549% 39.5 40s
9055 5102 0.19659 32 158 0.11267 0.73023 548% 39.8 45s
10864 6209 0.71211 35 143 0.11267 0.72913 547% 39.1 50s
11972 6907 0.31153 43 105 0.11267 0.72802 546% 39.3 55s
12889 7386 0.48911 42 169 0.11267 0.72704 545% 39.8 60s
13974 7949 0.70760 31 150 0.11267 0.72639 545% 40.0 65s
14672 8305 0.28522 45 139 0.11267 0.72598 544% 40.2 71s
15146 8565 0.15367 61 145 0.11267 0.72563 544% 40.4 75s
16437 9238 infeasible 43 0.11267 0.72479 543% 41.1 81s
17283 9703 0.41248 28 169 0.11267 0.72430 543% 41.7 85s
18692 10517 0.13338 113 115 0.11267 0.72394 543% 41.6 90s
19670 10990 infeasible 59 0.11267 0.72333 542% 42.0 95s
21016 11728 0.52556 60 160 0.11267 0.72288 542% 41.8 122s
21023 11733 0.59470 26 211 0.11267 0.72288 542% 41.8 125s
21029 11737 0.71584 31 214 0.11267 0.72288 542% 41.8 131s
21032 11739 0.67713 43 219 0.11267 0.72288 542% 41.8 135s
21037 11742 0.21073 64 228 0.11267 0.72288 542% 41.8 140s
21042 11745 0.68604 47 225 0.11267 0.72288 542% 41.8 146s
21046 11748 0.28012 55 260 0.11267 0.72288 542% 41.8 150s
21049 11750 0.71473 28 225 0.11267 0.72288 542% 41.8 156s
21054 11753 0.27165 38 260 0.11267 0.72288 542% 41.8 160s
21057 11755 0.52154 35 256 0.11267 0.72288 542% 41.7 165s
21062 11759 0.69878 42 251 0.11267 0.72030 539% 41.7 170s
21066 11761 0.60270 40 241 0.11267 0.71147 531% 41.7 176s
21070 11764 0.44622 30 256 0.11267 0.71058 531% 41.7 180s
21074 11767 0.15516 54 248 0.11267 0.71012 530% 41.7 185s
21078 11769 0.41161 41 261 0.11267 0.70991 530% 41.7 191s
21081 11771 0.58874 46 266 0.11267 0.70980 530% 41.7 195s
21085 11774 0.57231 34 269 0.11267 0.70965 530% 41.7 200s
21090 11777 0.60330 27 260 0.11267 0.70952 530% 41.7 206s
21093 11779 0.58724 29 255 0.11267 0.70952 530% 41.7 210s
21098 11783 0.32102 54 267 0.11267 0.70936 530% 41.7 215s
21102 11785 0.24427 48 269 0.11267 0.70910 529% 41.7 221s
21106 11788 0.68564 33 265 0.11267 0.70875 529% 41.7 225s
21110 11791 0.48017 48 269 0.11267 0.70841 529% 41.6 230s
21113 11793 0.23939 66 268 0.11267 0.70832 529% 41.6 235s
21116 11795 0.52556 60 276 0.11267 0.70826 529% 41.6 240s
21121 11798 0.58853 63 257 0.11267 0.70771 528% 41.6 245s
21126 11801 0.36328 54 249 0.11267 0.70755 528% 41.6 250s
21130 11804 0.54627 23 259 0.11267 0.70755 528% 41.6 255s
21134 11807 0.70401 44 262 0.11267 0.70741 528% 41.6 260s
21138 11809 0.32137 66 266 0.11267 0.70734 528% 41.6 265s
21142 11812 0.68604 47 281 0.11267 0.70728 528% 41.6 270s
21148 11816 0.20899 53 279 0.11267 0.70590 527% 41.6 275s
H21150 11223 0.1126701 0.70555 526% 41.6 281s
21154 11226 0.27165 38 270 0.11267 0.70544 526% 41.6 285s
21158 11229 0.55492 28 270 0.11267 0.70492 526% 41.5 290s
21163 11232 0.65735 41 270 0.11267 0.70432 525% 41.5 295s
21168 11235 0.18568 63 287 0.11267 0.70408 525% 41.5 300s
21173 11239 0.12860 90 275 0.11267 0.70399 525% 41.5 305s
21177 11241 0.17377 42 266 0.11267 0.70385 525% 41.5 310s
21179 11243 0.41261 38 272 0.11267 0.70384 525% 41.5 315s
21183 11245 0.54084 39 262 0.11267 0.70381 525% 41.5 320s
21187 11248 0.58158 43 264 0.11267 0.70365 525% 41.5 326s
21192 11251 0.16008 58 274 0.11267 0.70324 524% 41.5 330s
21195 11253 0.47150 27 268 0.11267 0.70320 524% 41.5 336s
21198 11255 0.32102 54 281 0.11267 0.70313 524% 41.5 340s
21203 11259 0.70305 33 285 0.11267 0.70305 524% 41.5 345s
21207 11261 0.28010 88 288 0.11267 0.70243 523% 41.5 351s
21209 11263 0.36274 31 277 0.11267 0.70220 523% 41.4 355s
21212 11265 0.66863 77 285 0.11267 0.70215 523% 41.4 360s
21215 11267 0.32636 62 282 0.11267 0.70122 522% 41.4 366s
21218 11269 0.41553 48 291 0.11267 0.70088 522% 41.4 370s
21220 11270 0.34214 31 285 0.11267 0.70086 522% 41.4 376s
21223 11272 0.59470 26 291 0.11267 0.70082 522% 41.4 380s
21226 11274 0.36328 54 283 0.11267 0.70076 522% 41.4 386s
21229 11276 0.70073 31 291 0.11267 0.70073 522% 41.4 390s
21232 11278 0.67713 43 291 0.11267 0.70073 522% 41.4 396s
21235 11280 0.34268 67 294 0.11267 0.70072 522% 41.4 400s
21238 11282 0.32137 66 295 0.11267 0.70070 522% 41.4 406s
21240 11283 0.67320 34 288 0.11267 0.70070 522% 41.4 410s
21242 11288 0.69876 26 282 0.11267 0.70070 522% 44.7 421s
21244 11285 0.67872 27 259 0.11267 0.69832 520% 44.7 428s
21248 11284 infeasible 28 0.11267 0.69283 515% 44.8 431s
21250 11284 0.68953 29 283 0.11267 0.69224 514% 44.8 440s
21259 11291 0.67843 32 277 0.11267 0.68509 508% 45.0 445s
21271 11294 0.67571 35 278 0.11267 0.68509 508% 45.2 450s
H21304 10743 0.1126701 0.68509 508% 45.3 454s
21319 10746 0.66328 43 241 0.11267 0.68509 508% 45.4 455s
21367 10769 0.66258 46 227 0.11267 0.68509 508% 45.6 461s
H21368 10230 0.1126703 0.68509 508% 45.6 461s
21406 10241 0.68390 32 281 0.11267 0.68495 508% 45.8 465s
H21407 9728 0.2128394 0.68495 222% 45.8 465s
21428 9735 0.66979 34 253 0.21284 0.68495 222% 45.9 470s
21487 9743 0.65967 42 233 0.21284 0.68495 222% 45.9 475s
21652 9800 infeasible 33 0.21284 0.68363 221% 46.4 480s
21851 9887 0.37680 64 157 0.21284 0.68363 221% 46.8 485s
22190 9975 0.67495 37 271 0.21284 0.68308 221% 47.2 490s
22384 10036 cutoff 99 0.21284 0.68307 221% 47.8 496s
22494 10072 0.55227 52 230 0.21284 0.68250 221% 48.4 500s
22655 10114 0.68076 44 266 0.21284 0.68250 221% 48.9 505s
22847 10187 0.65756 44 217 0.21284 0.68212 220% 49.4 510s
22947 10215 0.68162 39 285 0.21284 0.68176 220% 49.7 515s
23170 10288 0.60414 40 258 0.21284 0.68162 220% 50.1 521s
23345 10339 0.60703 68 160 0.21284 0.68011 220% 50.5 525s
23570 10411 0.67353 47 268 0.21284 0.67987 219% 50.9 530s
23639 10425 0.67852 36 272 0.21284 0.67975 219% 51.5 535s
23875 10489 0.49820 60 174 0.21284 0.67955 219% 52.0 540s
24141 10554 0.67299 34 249 0.21284 0.67934 219% 52.7 546s
24213 10581 0.66843 42 235 0.21284 0.67910 219% 53.0 550s
24339 10618 0.65666 46 216 0.21284 0.67891 219% 53.6 556s
24502 10644 0.65296 38 255 0.21284 0.67891 219% 54.0 560s
24654 10685 0.58400 56 159 0.21284 0.67868 219% 54.5 566s
24812 10748 0.67755 40 268 0.21284 0.67857 219% 54.9 570s
H24839 10269 0.2128394 0.67857 219% 55.0 570s
25035 10301 0.64066 46 200 0.21284 0.67850 219% 55.5 578s
25089 10309 0.67032 39 242 0.21284 0.67850 219% 56.0 582s
25293 10392 0.27490 71 123 0.21284 0.67850 219% 56.3 588s
25444 10407 infeasible 43 0.21284 0.67823 219% 56.9 592s
25569 10435 0.61439 38 250 0.21284 0.67813 219% 57.5 598s
25731 10491 infeasible 38 0.21284 0.67813 219% 57.7 600s
Cutting planes:
Gomory: 157
Cover: 9
Implied bound: 23
Projected implied bound: 27
Clique: 1
MIR: 177
StrongCG: 2
Flow cover: 702
Inf proof: 26
Explored 25834 nodes (1497021 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.212839 0.212839 0.11267 ... 0.11267
Time limit reached
Best objective 2.128394386862e-01, best bound 6.781334837047e-01, gap 218.6127%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1jp8uxkq.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6gvwyb2o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.214205
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 8.319669e-01, 1242 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.83197 0 131 0.21420 0.83197 288% - 0s
0 0 0.77961 0 144 0.21420 0.77961 264% - 0s
0 0 0.77893 0 144 0.21420 0.77893 264% - 0s
0 0 0.76461 0 186 0.21420 0.76461 257% - 0s
0 0 0.76457 0 186 0.21420 0.76457 257% - 0s
0 0 0.76437 0 186 0.21420 0.76437 257% - 0s
0 0 0.76437 0 186 0.21420 0.76437 257% - 0s
0 0 0.76433 0 186 0.21420 0.76433 257% - 0s
0 0 0.76433 0 151 0.21420 0.76433 257% - 0s
0 2 0.76433 0 151 0.21420 0.76433 257% - 0s
732 582 0.45181 99 159 0.21420 0.74730 249% 38.5 5s
799 616 0.55119 23 152 0.21420 0.74591 248% 44.6 10s
1477 714 0.56060 36 148 0.21420 0.73524 243% 46.7 15s
2464 1114 0.69100 41 142 0.21420 0.73141 241% 42.8 20s
3920 2079 0.25043 83 79 0.21420 0.71708 235% 40.1 25s
5484 3171 0.22069 101 25 0.21420 0.71173 232% 38.7 30s
6696 3973 0.63981 39 134 0.21420 0.71052 232% 39.0 35s
8463 5139 0.23558 83 85 0.21420 0.70914 231% 38.7 40s
* 8505 5139 125 0.2142052 0.70914 231% 38.5 40s
9590 5883 0.36295 67 138 0.21421 0.70855 231% 38.8 48s
9895 6071 0.63786 52 131 0.21421 0.70813 231% 39.2 51s
11170 6927 0.64611 41 123 0.21421 0.70742 230% 39.0 56s
12256 7562 0.63016 53 125 0.21421 0.70658 230% 39.7 60s
13640 8376 infeasible 41 0.21421 0.70567 229% 40.4 65s
14973 9211 0.51395 47 143 0.21421 0.70520 229% 40.3 70s
16455 10083 0.25554 76 91 0.21421 0.70459 229% 40.7 75s
17572 10731 infeasible 58 0.21421 0.70414 229% 41.0 80s
18054 11027 0.61843 48 130 0.21421 0.70395 229% 41.1 85s
19067 11612 0.35221 53 128 0.21421 0.70346 228% 41.1 90s
20631 12540 0.60543 39 151 0.21421 0.70290 228% 41.2 114s
20634 12542 0.63255 44 189 0.21421 0.70290 228% 41.1 115s
20639 12545 0.68173 46 220 0.21421 0.70290 228% 41.1 120s
20642 12547 0.47115 54 213 0.21421 0.70290 228% 41.1 126s
20645 12549 0.53251 68 216 0.21421 0.70290 228% 41.1 130s
20648 12551 0.69739 38 241 0.21421 0.70290 228% 41.1 135s
20651 12553 0.61206 54 257 0.21421 0.70290 228% 41.1 140s
20654 12555 0.65727 42 246 0.21421 0.70290 228% 41.1 145s
20658 12558 0.27542 65 249 0.21421 0.70290 228% 41.1 150s
20663 12561 0.23906 84 277 0.21421 0.70290 228% 41.1 155s
20666 12563 0.67341 31 264 0.21421 0.70290 228% 41.1 160s
20671 12567 0.49724 51 275 0.21421 0.70290 228% 41.1 165s
20675 12569 0.49837 74 272 0.21421 0.70290 228% 41.1 170s
20679 12572 0.63564 40 282 0.21421 0.70290 228% 41.1 175s
20684 12575 0.23908 63 279 0.21421 0.70290 228% 41.0 180s
20688 12578 0.53711 49 273 0.21421 0.70290 228% 41.0 186s
20691 12580 0.46500 50 274 0.21421 0.70290 228% 41.0 190s
20694 12582 0.66624 42 267 0.21421 0.70290 228% 41.0 195s
20698 12585 0.53848 30 274 0.21421 0.70290 228% 41.0 201s
20700 12586 0.49435 59 272 0.21421 0.70290 228% 41.0 205s
20704 12589 0.24407 59 281 0.21421 0.70290 228% 41.0 211s
20707 12591 0.62989 51 288 0.21421 0.70290 228% 41.0 215s
20710 12593 0.57688 70 285 0.21421 0.70290 228% 41.0 220s
20713 12595 0.40293 61 295 0.21421 0.70290 228% 41.0 225s
20716 12597 0.35600 47 294 0.21421 0.70290 228% 41.0 231s
20719 12599 0.38094 60 297 0.21421 0.70290 228% 41.0 235s
20722 12601 0.63024 42 284 0.21421 0.70290 228% 41.0 240s
20725 12603 0.24579 70 298 0.21421 0.70290 228% 41.0 245s
20728 12605 0.29618 93 272 0.21421 0.70290 228% 41.0 250s
20730 12606 0.42476 53 286 0.21421 0.70290 228% 41.0 255s
20734 12609 0.63255 44 288 0.21421 0.70290 228% 41.0 261s
20736 12610 0.69631 41 284 0.21421 0.70290 228% 40.9 265s
20740 12613 0.24331 59 290 0.21421 0.70290 228% 40.9 270s
20744 12615 0.38999 55 291 0.21421 0.70290 228% 40.9 275s
20748 12618 0.69739 38 290 0.21421 0.70290 228% 40.9 280s
20752 12621 0.65594 50 296 0.21421 0.70290 228% 40.9 285s
20756 12623 0.68581 39 291 0.21421 0.70290 228% 40.9 290s
20760 12626 0.65833 52 286 0.21421 0.70290 228% 40.9 296s
20764 12629 0.43215 64 277 0.21421 0.70290 228% 40.9 300s
20768 12631 0.38502 41 279 0.21421 0.70290 228% 40.9 305s
20772 12634 0.21599 108 291 0.21421 0.70290 228% 40.9 310s
20775 12636 0.49837 74 296 0.21421 0.70290 228% 40.9 315s
20779 12639 0.63564 40 302 0.21421 0.70290 228% 40.9 320s
20782 12641 0.22484 100 289 0.21421 0.70290 228% 40.9 326s
20785 12643 0.21782 112 298 0.21421 0.70290 228% 40.9 330s
20788 12645 0.53711 49 293 0.21421 0.70290 228% 40.8 338s
20790 12646 0.47180 86 293 0.21421 0.70290 228% 40.8 340s
20791 12650 0.70290 26 285 0.21421 0.70290 228% 41.9 349s
20793 12650 0.68975 27 268 0.21421 0.70290 228% 42.0 359s
20797 12653 0.68656 28 269 0.21421 0.70290 228% 42.1 360s
20819 12659 0.68117 31 270 0.21421 0.70290 228% 42.5 365s
20868 12679 0.63634 37 233 0.21421 0.70290 228% 43.0 370s
20971 12713 0.41677 51 172 0.21421 0.70290 228% 43.5 375s
21120 12755 0.70043 32 292 0.21421 0.70180 228% 44.6 380s
21316 12802 0.68715 45 258 0.21421 0.70180 228% 45.5 385s
21470 12826 0.68626 36 265 0.21421 0.70043 227% 46.2 390s
21745 12913 0.69817 36 261 0.21421 0.70005 227% 46.8 395s
21922 12972 0.48345 57 146 0.21421 0.70005 227% 47.7 400s
22157 13034 infeasible 41 0.21421 0.69937 226% 48.5 405s
22343 13074 0.68789 35 249 0.21421 0.69817 226% 49.3 411s
22433 13088 0.52542 42 181 0.21421 0.69817 226% 50.1 415s
22663 13161 0.66596 35 236 0.21421 0.69401 224% 50.6 420s
22948 13240 0.64627 36 209 0.21421 0.69340 224% 51.7 425s
23133 13260 0.68708 35 235 0.21421 0.69194 223% 52.6 430s
23268 13295 0.54745 57 150 0.21421 0.69155 223% 53.6 437s
23515 13375 0.53501 47 172 0.21421 0.69139 223% 54.5 442s
23699 13479 infeasible 39 0.21421 0.69092 223% 54.8 445s
23850 13509 0.44222 40 166 0.21421 0.69068 222% 55.9 450s
24064 13566 0.64034 35 246 0.21421 0.69068 222% 56.8 457s
24248 13620 infeasible 44 0.21421 0.68981 222% 57.4 460s
24539 13708 0.63995 36 239 0.21421 0.68789 221% 58.3 466s
24666 13728 0.33761 93 128 0.21421 0.68773 221% 58.8 471s
24937 13778 0.43238 47 172 0.21421 0.68645 220% 60.2 477s
25053 13792 0.63664 37 246 0.21421 0.68575 220% 60.9 482s
25335 13904 infeasible 38 0.21421 0.68507 220% 61.4 486s
25527 13975 0.59900 39 190 0.21421 0.68505 220% 62.0 492s
25698 14014 infeasible 51 0.21421 0.68483 220% 62.9 498s
25885 14083 infeasible 33 0.21421 0.68441 220% 63.6 504s
26009 14077 0.42929 56 168 0.21421 0.68418 219% 64.5 511s
26255 14148 0.53665 82 170 0.21421 0.68418 219% 65.3 517s
26454 14193 0.64375 60 144 0.21421 0.68393 219% 65.5 522s
26711 14285 0.51278 65 140 0.21421 0.68377 219% 66.1 528s
26891 14331 0.60648 85 145 0.21421 0.68315 219% 67.0 534s
27255 14469 infeasible 46 0.21421 0.68301 219% 67.5 539s
27661 14602 infeasible 62 0.21421 0.68274 219% 68.2 545s
27887 14660 0.61980 60 188 0.21421 0.68267 219% 68.8 552s
28208 14707 0.67067 43 235 0.21421 0.68246 219% 69.4 558s
28677 14831 infeasible 43 0.21421 0.68200 218% 70.1 564s
28950 14910 0.47438 54 159 0.21421 0.68175 218% 71.0 571s
29252 14991 0.63211 64 195 0.21421 0.68165 218% 71.8 579s
29634 15081 0.51754 48 197 0.21421 0.68148 218% 72.6 585s
29919 15135 0.67458 36 233 0.21421 0.68106 218% 73.7 594s
30312 15223 0.31106 55 144 0.21421 0.68087 218% 74.5 600s
Cutting planes:
Gomory: 211
Cover: 7
Implied bound: 56
Projected implied bound: 70
Clique: 3
MIR: 275
StrongCG: 1
Flow cover: 951
Inf proof: 63
Zero half: 2
Explored 30493 nodes (2323537 simplex iterations) in 600.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.214205 0.214205
Time limit reached
Best objective 2.142052445261e-01, best bound 6.806500761123e-01, gap 217.7560%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3fdfve54.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxdlia25q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2792_ by 0.999999999
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 8.255182e-01, 1296 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.82552 0 125 - 0.82552 - - 0s
Another try with MIP start
H 0 0 0.2080500 0.82552 297% - 0s
0 0 0.77690 0 166 0.20805 0.77690 273% - 0s
0 0 0.77689 0 166 0.20805 0.77689 273% - 0s
0 0 0.76244 0 184 0.20805 0.76244 266% - 0s
0 0 0.76237 0 184 0.20805 0.76237 266% - 0s
0 0 0.76172 0 190 0.20805 0.76172 266% - 0s
0 0 0.76171 0 190 0.20805 0.76171 266% - 0s
0 0 0.76171 0 190 0.20805 0.76171 266% - 0s
0 0 0.76171 0 149 0.20805 0.76171 266% - 0s
0 2 0.76171 0 149 0.20805 0.76171 266% - 0s
768 637 0.57910 70 156 0.20805 0.73959 255% 27.9 5s
1048 662 infeasible 26 0.20805 0.73959 255% 37.4 10s
2101 1018 0.52292 32 169 0.20805 0.73509 253% 40.7 15s
3036 1526 0.56804 64 181 0.20805 0.73249 252% 41.3 20s
3966 2136 0.37330 40 141 0.20805 0.72686 249% 44.9 25s
4998 2770 0.53913 38 151 0.20805 0.72364 248% 47.0 30s
5971 3434 0.62818 52 170 0.20805 0.72188 247% 47.7 35s
7156 4222 0.71863 33 150 0.20805 0.72063 246% 48.4 40s
7684 4546 0.28950 72 87 0.20805 0.72013 246% 49.1 45s
8551 4983 infeasible 47 0.20805 0.71919 246% 50.2 50s
9536 5604 0.54684 36 175 0.20805 0.71770 245% 50.6 55s
10647 6247 infeasible 64 0.20805 0.71536 244% 50.4 60s
11825 6981 0.69967 36 160 0.20805 0.71387 243% 50.2 66s
12308 7262 0.64911 43 164 0.20805 0.71354 243% 50.0 70s
13200 7807 0.31330 66 92 0.20805 0.71286 243% 49.8 75s
14558 8635 infeasible 37 0.20805 0.71138 242% 49.9 80s
15319 9069 0.58118 30 149 0.20805 0.71063 242% 49.9 87s
15583 9193 0.46288 39 177 0.20805 0.71040 241% 50.0 91s
16161 9543 0.69627 41 177 0.20805 0.70963 241% 50.4 95s
17232 10142 0.41766 50 153 0.20805 0.70880 241% 50.5 100s
18426 10842 infeasible 59 0.20805 0.70796 240% 50.7 105s
19697 11551 0.45377 42 152 0.20805 0.70708 240% 50.6 111s
20264 11877 0.65102 50 177 0.20805 0.70683 240% 51.2 115s
21082 12288 0.66629 31 149 0.20805 0.70648 240% 51.3 141s
21090 12293 0.49492 77 198 0.20805 0.70648 240% 51.3 145s
21095 12297 0.36465 83 217 0.20805 0.70648 240% 51.3 150s
21101 12301 0.60804 77 235 0.20805 0.70648 240% 51.3 155s
21108 12305 0.47988 46 248 0.20805 0.70648 240% 51.3 160s
21113 12309 0.20911 153 234 0.20805 0.70648 240% 51.3 165s
21118 12312 0.37195 43 255 0.20805 0.70648 240% 51.2 171s
21121 12314 0.64538 37 245 0.20805 0.70648 240% 51.2 175s
21130 12320 0.69723 22 262 0.20805 0.70648 240% 51.2 180s
21136 12324 0.23882 48 263 0.20805 0.70648 240% 51.2 186s
21141 12327 0.45889 64 275 0.20805 0.70648 240% 51.2 190s
21146 12331 0.43162 34 285 0.20805 0.70648 240% 51.2 196s
21149 12333 0.24401 70 291 0.20805 0.70648 240% 51.2 200s
21152 12335 0.52186 61 290 0.20805 0.70648 240% 51.2 205s
21158 12339 0.51188 35 296 0.20805 0.70648 240% 51.1 210s
21163 12342 0.35429 52 302 0.20805 0.70648 240% 51.1 215s
21167 12345 0.42437 48 300 0.20805 0.70648 240% 51.1 220s
21171 12347 0.36470 39 311 0.20805 0.70648 240% 51.1 225s
21175 12350 0.49960 50 304 0.20805 0.70648 240% 51.1 230s
21179 12353 0.58069 49 301 0.20805 0.70648 240% 51.1 235s
21185 12357 0.58246 37 295 0.20805 0.70648 240% 51.1 241s
21188 12359 0.35000 92 297 0.20805 0.70648 240% 51.1 245s
21192 12361 0.30646 51 290 0.20805 0.70648 240% 51.1 251s
21194 12363 0.36824 59 297 0.20805 0.70648 240% 51.1 255s
21197 12365 0.24970 125 296 0.20805 0.70648 240% 51.0 260s
21200 12367 0.67627 41 293 0.20805 0.70648 240% 51.0 265s
21203 12369 0.39341 75 290 0.20805 0.70648 240% 51.0 271s
21205 12370 0.29196 39 294 0.20805 0.70648 240% 51.0 276s
21209 12373 0.70196 37 294 0.20805 0.70642 240% 51.0 280s
21214 12376 0.68523 40 286 0.20805 0.70608 239% 51.0 285s
21218 12379 0.37195 43 287 0.20805 0.70608 239% 51.0 290s
21221 12381 0.64538 37 287 0.20805 0.70608 239% 51.0 295s
21223 12384 0.68334 25 262 0.20805 0.70608 239% 53.0 304s
H21224 11762 0.2080500 0.70608 239% 53.0 304s
21225 11761 infeasible 26 0.20805 0.70176 237% 53.0 311s
21228 11760 0.69422 27 270 0.20805 0.69528 234% 53.1 318s
21231 11760 0.69400 28 277 0.20805 0.69400 234% 53.1 326s
21242 11760 0.69115 31 276 0.20805 0.69206 233% 53.2 330s
21283 11771 infeasible 38 0.20805 0.69083 232% 53.8 338s
H21290 11179 0.2080500 0.69083 232% 53.8 338s
21323 11185 0.67756 34 241 0.20805 0.69083 232% 54.1 344s
21341 11183 0.69006 33 269 0.20805 0.69083 232% 54.4 346s
21357 11183 0.69005 34 268 0.20805 0.69083 232% 54.6 350s
H21360 10621 0.2080500 0.69083 232% 54.7 350s
21459 10669 0.66245 57 210 0.20805 0.69083 232% 55.2 355s
21731 10785 cutoff 93 0.20805 0.68911 231% 55.4 360s
21914 10827 cutoff 40 0.20805 0.68879 231% 56.0 365s
22091 10893 0.67494 55 209 0.20805 0.68879 231% 56.6 370s
H22269 10396 0.2080501 0.68879 231% 57.5 376s
22391 10442 infeasible 83 0.20805 0.68709 230% 58.0 381s
22600 10515 infeasible 67 0.20805 0.68690 230% 58.7 385s
22934 10643 0.68026 41 268 0.20805 0.68640 230% 59.1 390s
23110 10700 0.67658 42 260 0.20805 0.68620 230% 59.9 395s
23238 10736 0.56586 58 220 0.20805 0.68578 230% 60.1 400s
23460 10813 0.65415 60 205 0.20805 0.68578 230% 61.2 406s
23604 10848 0.65432 42 224 0.20805 0.68473 229% 61.6 410s
23881 10960 0.66767 47 243 0.20805 0.68408 229% 62.2 416s
24007 11002 0.24156 63 114 0.20805 0.68396 229% 62.9 421s
24332 11113 0.29266 89 104 0.20805 0.68357 229% 63.3 427s
H24364 10604 0.2080501 0.68357 229% 63.5 427s
24379 10613 0.29081 90 102 0.20805 0.68316 228% 63.6 430s
24725 10707 0.66704 42 243 0.20805 0.68301 228% 64.4 437s
24943 10742 0.66325 50 217 0.20805 0.68261 228% 64.6 442s
25135 10807 0.61887 69 173 0.20805 0.68208 228% 64.9 446s
25350 10872 cutoff 68 0.20805 0.68182 228% 65.2 450s
25946 11082 0.64602 51 202 0.20805 0.68136 227% 65.7 457s
26081 11112 0.66246 52 221 0.20805 0.68125 227% 66.0 461s
26407 11211 infeasible 81 0.20805 0.68109 227% 66.1 465s
26866 11333 0.24234 71 110 0.20805 0.68068 227% 66.8 473s
27106 11380 0.50210 50 185 0.20805 0.68053 227% 67.2 478s
27409 11486 0.65616 42 241 0.20805 0.68045 227% 67.5 482s
27706 11571 0.67916 45 238 0.20805 0.68043 227% 68.0 487s
27963 11627 0.50977 55 161 0.20805 0.68036 227% 68.6 492s
28233 11697 0.66200 46 241 0.20805 0.68020 227% 69.1 497s
28626 11854 0.65351 46 198 0.20805 0.68003 227% 69.5 504s
28965 11964 0.67252 37 273 0.20805 0.67991 227% 69.9 509s
29448 12106 0.55748 45 193 0.20805 0.67977 227% 70.1 515s
29730 12160 0.65843 51 236 0.20805 0.67969 227% 70.9 521s
30045 12214 0.67585 45 263 0.20805 0.67955 227% 71.5 527s
30380 12268 0.67157 48 220 0.20805 0.67936 227% 72.1 534s
30755 12329 0.64498 46 205 0.20805 0.67927 226% 72.4 540s
31010 12381 0.66768 43 255 0.20805 0.67920 226% 73.1 547s
31307 12449 0.67253 45 236 0.20805 0.67900 226% 73.8 555s
31682 12565 0.66431 48 210 0.20805 0.67890 226% 74.5 562s
32064 12654 0.64757 55 212 0.20805 0.67878 226% 75.0 569s
32449 12718 infeasible 42 0.20805 0.67855 226% 75.5 576s
32822 12842 0.65386 42 196 0.20805 0.67846 226% 76.2 583s
33151 12956 0.58222 49 217 0.20805 0.67837 226% 76.8 590s
33378 13023 0.66657 47 241 0.20805 0.67820 226% 77.7 597s
Cutting planes:
Gomory: 216
Cover: 4
Implied bound: 39
Projected implied bound: 37
Clique: 2
MIR: 214
StrongCG: 1
Flow cover: 773
Inf proof: 61
Zero half: 3
Explored 33631 nodes (2642065 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.20805 0.20805 0.20805 ... 0.20805
Time limit reached
Best objective 2.080501169307e-01, best bound 6.781547231288e-01, gap 225.9574%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 2
Seed for training 199
Seed for simulation 401
direc: array([[3.52740958e-02, 1.80626836e-04, 1.80626836e-04],
[7.81272799e+00, 4.04123007e-02, 1.23028417e+02],
[1.60462484e-02, 8.21712074e-05, 1.61511376e-01]])
fopt: 0.5034687115134785
fun: -0.5032456312101509
message: 'Optimization terminated successfully.'
nfev: 534
nit: 6
status: 0
success: True
x: array([199.91308202, 2.01918334, 185.16198531])
xopt: array([199., 2., 185.])
zopt: array([199., 201., 386.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpymwln1_z.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnz_83s77.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.503469
Presolve removed 899 rows and 580 columns
Presolve time: 0.03s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.301956e-01, 1470 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.83020 0 152 0.50347 0.83020 64.9% - 0s
0 0 0.80783 0 163 0.50347 0.80783 60.5% - 0s
0 0 0.80762 0 158 0.50347 0.80762 60.4% - 0s
0 0 0.80322 0 175 0.50347 0.80322 59.5% - 0s
0 0 0.80307 0 184 0.50347 0.80307 59.5% - 0s
0 0 0.80281 0 187 0.50347 0.80281 59.5% - 0s
0 0 0.80271 0 187 0.50347 0.80271 59.4% - 0s
0 0 0.80271 0 186 0.50347 0.80271 59.4% - 0s
0 0 0.80271 0 186 0.50347 0.80271 59.4% - 0s
0 0 0.80271 0 150 0.50347 0.80271 59.4% - 0s
0 2 0.80271 0 150 0.50347 0.80271 59.4% - 0s
750 660 0.76847 11 167 0.50347 0.76847 52.6% 28.8 5s
1624 953 0.72103 30 161 0.50347 0.73984 46.9% 32.9 10s
3024 1544 0.59907 45 173 0.50347 0.72810 44.6% 31.1 15s
4015 2153 0.62260 46 140 0.50347 0.72626 44.3% 32.8 20s
H 4921 2630 0.5142153 0.72192 40.4% 33.1 23s
5287 2866 0.55721 69 134 0.51422 0.72127 40.3% 33.0 25s
H 6009 3016 0.5396811 0.72003 33.4% 33.1 28s
6216 3126 0.66743 34 168 0.53968 0.71926 33.3% 33.4 30s
7783 4081 0.71646 31 173 0.53968 0.71709 32.9% 33.4 35s
8537 4509 0.68677 38 180 0.53968 0.71589 32.7% 33.6 40s
9929 5191 0.60639 52 148 0.53968 0.71304 32.1% 34.6 45s
H10701 4705 0.5674779 0.71184 25.4% 34.6 49s
10756 4721 infeasible 50 0.56748 0.71172 25.4% 34.7 51s
11760 5217 0.65297 31 175 0.56748 0.70995 25.1% 35.0 56s
12928 5767 0.69351 33 163 0.56748 0.70810 24.8% 35.6 60s
14321 6448 0.65056 36 180 0.56748 0.70592 24.4% 36.0 65s
15580 6974 0.58936 41 178 0.56748 0.70471 24.2% 36.2 70s
17008 7561 0.69914 32 167 0.56748 0.70320 23.9% 36.7 75s
18160 8064 0.57681 41 183 0.56748 0.70230 23.8% 37.0 80s
19767 8770 cutoff 49 0.56748 0.70111 23.5% 37.1 85s
20385 9058 0.60629 48 161 0.56748 0.70038 23.4% 37.3 90s
H20393 8943 0.5705142 0.70038 22.8% 37.3 90s
21075 9185 0.64851 36 150 0.57051 0.69976 22.7% 37.5 115s
21083 9190 0.59003 54 216 0.57051 0.69976 22.7% 37.5 120s
21087 9193 0.59350 40 244 0.57051 0.69976 22.7% 37.5 125s
21089 9194 0.66453 46 249 0.57051 0.69976 22.7% 37.5 130s
21093 9197 0.68675 36 236 0.57051 0.69976 22.7% 37.4 135s
21098 9200 0.66269 37 248 0.57051 0.69976 22.7% 37.4 140s
21102 9203 0.58314 53 265 0.57051 0.69976 22.7% 37.4 146s
21104 9204 0.65319 42 279 0.57051 0.69976 22.7% 37.4 150s
21108 9207 0.65996 41 291 0.57051 0.69976 22.7% 37.4 155s
21112 9210 0.58438 62 290 0.57051 0.69976 22.7% 37.4 160s
21115 9212 0.69424 41 297 0.57051 0.69976 22.7% 37.4 165s
21119 9214 0.60421 73 301 0.57051 0.69976 22.7% 37.4 170s
21123 9217 0.68045 32 310 0.57051 0.69976 22.7% 37.4 175s
21127 9220 0.64054 56 303 0.57051 0.69976 22.7% 37.4 180s
21131 9222 0.60189 92 311 0.57051 0.69976 22.7% 37.4 185s
21136 9226 0.64787 42 305 0.57051 0.69976 22.7% 37.4 190s
21141 9229 0.65192 43 303 0.57051 0.69976 22.7% 37.4 195s
21145 9232 0.68049 44 309 0.57051 0.69976 22.7% 37.4 200s
21149 9234 0.64870 48 311 0.57051 0.69976 22.7% 37.3 205s
21153 9237 0.63063 31 311 0.57051 0.69976 22.7% 37.3 210s
21158 9240 0.58955 41 317 0.57051 0.69976 22.7% 37.3 215s
21162 9243 0.69518 34 324 0.57051 0.69976 22.7% 37.3 220s
21166 9246 0.60577 56 322 0.57051 0.69976 22.7% 37.3 225s
21169 9248 0.66603 26 334 0.57051 0.69976 22.7% 37.3 230s
21175 9252 0.64851 36 313 0.57051 0.69976 22.7% 37.3 235s
21178 9254 0.68693 36 320 0.57051 0.69976 22.7% 37.3 240s
21181 9256 0.64547 43 323 0.57051 0.69976 22.7% 37.3 246s
21183 9257 0.59003 54 336 0.57051 0.69976 22.7% 37.3 250s
21186 9259 0.60686 73 336 0.57051 0.69976 22.7% 37.3 255s
21189 9261 0.66453 46 320 0.57051 0.69976 22.7% 37.3 262s
21191 9262 0.61190 36 325 0.57051 0.69976 22.7% 37.3 265s
21193 9264 0.68675 36 327 0.57051 0.69976 22.7% 37.3 270s
H21196 8800 0.5705142 0.69976 22.7% 37.3 276s
21200 8802 0.61130 44 340 0.57051 0.69976 22.7% 37.3 280s
21205 8806 0.65542 40 338 0.57051 0.69976 22.7% 37.2 286s
21209 8808 0.59144 123 332 0.57051 0.69976 22.7% 37.2 291s
21212 8810 0.58438 62 340 0.57051 0.69976 22.7% 37.2 295s
21216 8813 0.69427 38 328 0.57051 0.69976 22.7% 37.2 300s
21220 8816 0.67438 42 336 0.57051 0.69976 22.7% 37.2 305s
21224 8818 0.58598 48 342 0.57051 0.69976 22.7% 37.2 310s
21227 8820 0.64054 56 334 0.57051 0.69976 22.7% 37.2 315s
21230 8822 0.69894 38 352 0.57051 0.69976 22.7% 37.2 320s
21234 8825 0.64768 46 337 0.57051 0.69976 22.7% 37.2 325s
21237 8827 0.61539 59 335 0.57051 0.69976 22.7% 37.2 330s
21241 8830 0.65192 43 330 0.57051 0.69976 22.7% 37.2 335s
21245 8832 0.68049 44 328 0.57051 0.69976 22.7% 37.2 342s
21247 8834 0.58726 47 327 0.57051 0.69976 22.7% 37.2 346s
21249 8835 0.64870 48 343 0.57051 0.69976 22.7% 37.2 350s
21253 8838 0.63063 31 329 0.57051 0.69976 22.7% 37.2 355s
21257 8840 0.64391 32 337 0.57051 0.69976 22.7% 37.2 360s
21260 8842 0.61703 33 335 0.57051 0.69976 22.7% 37.1 365s
21264 8845 0.59205 44 334 0.57051 0.69976 22.7% 37.1 370s
21268 8848 0.60169 44 341 0.57051 0.69976 22.7% 37.1 375s
21270 8849 0.59931 68 337 0.57051 0.69976 22.7% 37.1 380s
21273 8851 0.68720 38 346 0.57051 0.69976 22.7% 37.1 387s
21275 8852 0.64851 36 341 0.57051 0.69976 22.7% 37.1 390s
21278 8854 0.68693 36 341 0.57051 0.69976 22.7% 37.1 395s
21282 8857 0.57601 74 342 0.57051 0.69976 22.7% 37.1 400s
21285 8859 0.65859 48 331 0.57051 0.69976 22.7% 37.1 405s
21288 8861 0.68386 42 339 0.57051 0.69976 22.7% 37.1 411s
21289 8865 0.69976 20 310 0.57051 0.69976 22.7% 40.4 421s
21291 8867 0.69346 21 307 0.57051 0.69976 22.7% 40.5 432s
21295 8869 0.69118 22 306 0.57051 0.69976 22.7% 40.6 435s
21311 8876 0.68232 24 318 0.57051 0.69976 22.7% 41.2 440s
21354 8894 0.66683 29 283 0.57051 0.69976 22.7% 41.7 447s
21386 8895 0.69976 26 323 0.57051 0.69976 22.7% 42.1 450s
21417 8907 0.67357 30 296 0.57051 0.69976 22.7% 42.5 455s
21514 8917 0.59862 45 228 0.57051 0.69976 22.7% 43.2 460s
21652 8982 0.68078 51 215 0.57051 0.69976 22.7% 44.0 466s
21788 9034 0.59386 111 145 0.57051 0.69976 22.7% 44.5 470s
21844 9038 0.57466 37 241 0.57051 0.69976 22.7% 45.4 475s
21932 9058 0.69564 29 310 0.57051 0.69976 22.7% 46.3 480s
22012 9081 0.68226 36 282 0.57051 0.69976 22.7% 47.3 485s
22069 9097 0.64080 43 234 0.57051 0.69976 22.7% 48.3 490s
22114 9110 0.61820 55 231 0.57051 0.69976 22.7% 48.8 495s
22186 9129 0.58716 63 206 0.57051 0.69976 22.7% 49.6 501s
22265 9138 0.69086 27 279 0.57051 0.69976 22.7% 50.6 505s
22374 9172 0.58924 54 215 0.57051 0.69939 22.6% 51.4 510s
22439 9195 0.66142 31 266 0.57051 0.69939 22.6% 52.1 517s
22479 9202 0.66131 32 263 0.57051 0.69939 22.6% 52.6 520s
22593 9226 0.59914 43 209 0.57051 0.69939 22.6% 53.7 527s
22643 9234 0.65752 36 258 0.57051 0.69852 22.4% 54.5 530s
22752 9263 0.68423 26 287 0.57051 0.69754 22.3% 55.8 536s
22792 9261 0.66513 39 265 0.57051 0.69724 22.2% 56.4 540s
22969 9300 0.67494 42 229 0.57051 0.69724 22.2% 57.7 547s
23013 9302 0.66728 49 229 0.57051 0.69724 22.2% 58.5 552s
23144 9360 0.64036 70 196 0.57051 0.69622 22.0% 59.2 556s
23224 9380 0.65904 37 237 0.57051 0.69622 22.0% 60.2 562s
23261 9388 0.61181 46 225 0.57051 0.69621 22.0% 60.7 566s
23363 9406 0.64683 36 243 0.57051 0.69582 22.0% 61.7 571s
23482 9444 0.64578 36 235 0.57051 0.69564 21.9% 62.7 575s
23563 9470 0.68197 29 274 0.57051 0.69564 21.9% 63.6 581s
23722 9519 0.62894 37 224 0.57051 0.69504 21.8% 64.2 585s
23853 9559 0.67155 31 241 0.57051 0.69477 21.8% 65.3 591s
23957 9580 0.67624 34 276 0.57051 0.69452 21.7% 66.5 598s
24052 9610 0.66991 32 270 0.57051 0.69425 21.7% 67.7 600s
Cutting planes:
Gomory: 220
Cover: 9
Implied bound: 42
Projected implied bound: 69
Clique: 1
MIR: 228
StrongCG: 5
Flow cover: 737
Inf proof: 18
Explored 24076 nodes (1643334 simplex iterations) in 600.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.570514 0.570514 0.567478 ... 0.503469
Time limit reached
Best objective 5.705141701549e-01, best bound 6.942494708735e-01, gap 21.6884%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe1oqvxu8.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6d9vsmz5.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.00s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8014807e+01 5.067500e+02 0.000000e+00 0s
234 1.1468715e+01 0.000000e+00 0.000000e+00 0s
Solved in 234 iterations and 0.01 seconds
Optimal objective 1.146871548e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.18621879e-07, -1.07182427e-08, -4.82244830e-07]])
fopt: 3.076547788470454
fun: -3.085215872125686
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 23.1345761 , -1. , -87.99580146])
xopt: array([23., 0., 0.])
zopt: array([23., 23., 23.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.38773821e-03, 6.93763131e-05, 2.61332388e-04]])
fopt: 2.6658778583937175
fun: -2.685286290118486
message: 'Optimization terminated successfully.'
nfev: 119
nit: 2
status: 0
success: True
x: array([43.36414831, -0.11788391, -5.98781884])
xopt: array([43., 0., 0.])
zopt: array([43., 43., 43.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.44770280e-05, 7.91598666e-07, -0.00000000e+00]])
fopt: 2.355273065932912
fun: -2.3645878267489486
message: 'Optimization terminated successfully.'
nfev: 225
nit: 2
status: 0
success: True
x: array([66.49171936, -0.11803319, 1. ])
xopt: array([66., 0., 1.])
zopt: array([66., 66., 67.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.69421576e-05, -9.98850253e-07, 0.00000000e+00]])
fopt: 2.149707757052223
fun: -2.162960817048519
message: 'Optimization terminated successfully.'
nfev: 267
nit: 2
status: 0
success: True
x: array([84.98322957, -0.47319128, 1. ])
xopt: array([85., 0., 1.])
zopt: array([85., 85., 86.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-4.49312690e-01, -1.08328846e-02, 4.78785062e-01],
[ 3.56303394e-06, -7.10867089e-05, -3.19091480e-05]])
fopt: 1.7496334351545675
fun: -1.758824449726873
message: 'Optimization terminated successfully.'
nfev: 246
nit: 3
status: 0
success: True
x: array([ 84.99727927, 12.00017241, -83.97199706])
xopt: array([85., 12., 0.])
zopt: array([85., 97., 97.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.02754698e-04, -1.81112263e-06, -0.00000000e+00]])
fopt: 1.597461829711611
fun: -1.5995056474972131
message: 'Optimization terminated successfully.'
nfev: 212
nit: 2
status: 0
success: True
x: array([118.47643305, 2.04936766, 1. ])
xopt: array([118., 2., 1.])
zopt: array([118., 120., 121.])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.45908673e-06, -7.07217406e-09, -0.00000000e+00]])
fopt: 1.4859080617764273
fun: -1.4884081763706591
message: 'Optimization terminated successfully.'
nfev: 239
nit: 2
status: 0
success: True
x: array([141.66226438, 1.15401147, 1. ])
xopt: array([141., 1., 1.])
zopt: array([141., 142., 143.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1492
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.2564724790637132
fun: -1.2560566291530342
message: 'Optimization terminated successfully.'
nfev: 243
nit: 2
status: 0
success: True
x: array([178.8708433 , 1.00001053, 1. ])
xopt: array([178., 2., 1.])
zopt: array([178., 180., 181.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.156482973671696
fun: -1.1632405294080428
message: 'Optimization terminated successfully.'
nfev: 354
nit: 4
status: 0
success: True
x: array([196.00000044, 2.00027678, -0.99943137])
xopt: array([196., 2., 0.])
zopt: array([196., 198., 198.])
*******************************************
Period: 11
direc: array([[-1.08950462e+01, 7.05798762e+00, 1.41159754e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.58523668e-10, -3.05932053e-10, -6.14864614e-10]])
fopt: 1.1361252089410372
fun: -1.1339581507209842
message: 'Optimization terminated successfully.'
nfev: 346
nit: 4
status: 0
success: True
x: array([187.76136045, 10.02340797, 19.11569986])
xopt: array([187., 11., 19.])
zopt: array([187., 198., 217.])
*******************************************
Period: 12
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-15.57098784, 15.15210479, 30.65247656]])
fopt: 1.2120707246482463
fun: -1.2102482645176598
message: 'Optimization terminated successfully.'
nfev: 580
nit: 7
status: 0
success: True
x: array([179.99999968, 18.00480892, 37.66745911])
xopt: array([179., 19., 37.])
zopt: array([179., 198., 235.])
*******************************************
Period: 13
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-17.93083242, 22.6526457 , 45.18920164]])
fopt: 1.1817755874500144
fun: -1.1841300480283423
message: 'Optimization terminated successfully.'
nfev: 314
nit: 5
status: 0
success: True
x: array([170.00000958, 28.00055291, 57.09168487])
xopt: array([170., 28., 57.])
zopt: array([170., 198., 255.])
*******************************************
Period: 14
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.03494528e-04, -1.56828078e-05, -1.03067911e-03]])
fopt: 1.1251559744062896
fun: -1.1256398246758712
message: 'Optimization terminated successfully.'
nfev: 461
nit: 6
status: 0
success: True
x: array([193.99815564, 4.00499395, 70.07655434])
xopt: array([193., 5., 70.])
zopt: array([193., 198., 268.])
*******************************************
Period: 15
direc: array([[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.07421066e+02, 1.08060475e+02, 0.00000000e+00],
[-3.80140340e-07, -7.69386427e-05, -0.00000000e+00]])
fopt: 1.0153825271971213
fun: -1.0053823522010543
message: 'Optimization terminated successfully.'
nfev: 904
nit: 13
status: 0
success: True
x: array([ 84.79484504, 124. , 5.01562476])
xopt: array([ 85., 125., 6.])
zopt: array([ 85., 210., 216.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.02403631, -0.06480191, -0.1244747 ]])
fopt: 0.9217038538679043
fun: -0.9187063235504749
message: 'Optimization terminated successfully.'
nfev: 301
nit: 4
status: 0
success: True
x: array([187.86890096, 27.003435 , 53.02923635])
xopt: array([187., 27., 54.])
zopt: array([187., 214., 268.])
*******************************************
Period: 17
direc: array([[-6.19163622e-01, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.39952739e-01, 3.31891443e+01, -1.83957835e-07]])
fopt: 0.9999640419113294
fun: -1.0036680187887956
message: 'Optimization terminated successfully.'
nfev: 968
nit: 14
status: 0
success: True
x: array([ 84.99988188, 178.00000001, 5.01173302])
xopt: array([ 85., 178., 5.])
zopt: array([ 85., 263., 268.])
*******************************************
Period: 18
direc: array([[ -0. , 0. , 0. ],
[-108.98928712, 108.35170748, 0. ],
[ 0. , 59.63433232, 0. ]])
fopt: 0.9337100952131836
fun: -0.9373879198018348
message: 'Optimization terminated successfully.'
nfev: 962
nit: 12
status: 0
success: True
x: array([ 84.99844251, 178.00378463, 5.00137622])
xopt: array([ 85., 178., 5.])
zopt: array([ 85., 263., 268.])
*******************************************
Period: 19
direc: array([[-2.03827720e-01, 2.52821695e+00, 5.11578352e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.64027104e-02, 6.72253232e-05, 2.33833576e-06]])
fopt: 0.8535536661454035
fun: -0.8530787804424621
message: 'Optimization terminated successfully.'
nfev: 434
nit: 5
status: 0
success: True
x: array([157.96340754, 40.00000202, 82.12011348])
xopt: array([157., 41., 82.])
zopt: array([157., 198., 280.])
*******************************************
Period: 20
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.0039966 , 0.00658747, 0.01299514]])
fopt: 0.5131646873846347
fun: -0.5116610975264433
message: 'Optimization terminated successfully.'
nfev: 211
nit: 3
status: 0
success: True
x: array([195.94998699, 3.00641214, 5.03827455])
xopt: array([195., 3., 6.])
zopt: array([195., 198., 204.])
*******************************************
Period: 21
direc: array([[ -0.18366187, 1. , 1. ],
[ 0. , 1. , 0. ],
[-109.5454827 , 146.66285065, 97.77523377]])
fopt: 0.8588246405368867
fun: -0.8568529838693376
message: 'Optimization terminated successfully.'
nfev: 413
nit: 5
status: 0
success: True
x: array([ 84.71917035, 154. , 105.15390277])
xopt: array([ 85., 154., 106.])
zopt: array([ 85., 239., 345.])
*******************************************
Period: 22
direc: array([[4.63279437e-03, 0.00000000e+00, 2.36207573e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[9.39716897e-01, 6.01932439e-01, 2.02844983e+02]])
fopt: 0.8372783000930053
fun: -0.8363200274307666
message: 'Optimization terminated successfully.'
nfev: 429
nit: 5
status: 0
success: True
x: array([196.99999846, 1.00000001, 207.00021709])
xopt: array([196., 2., 207.])
zopt: array([196., 198., 405.])
*******************************************
Period: 23
direc: array([[1.13831506e-07, 0.00000000e+00, 5.77855217e-10],
[1.57311263e-07, 2.09841563e-02, 1.00000000e+00],
[2.26700343e-05, 6.18249379e+00, 1.96417834e+02]])
fopt: 0.841922509338059
fun: -0.8414208931218686
message: 'Optimization terminated successfully.'
nfev: 453
nit: 5
status: 0
success: True
x: array([190.99315573, 7.36390146, 206.02291096])
xopt: array([190., 8., 207.])
zopt: array([190., 198., 405.])
*******************************************
Period: 24
direc: array([[4.23801015e-02, 2.17381341e-04, 2.17381341e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.45209841e-05, 4.53178230e-04, 4.94436252e-04]])
fopt: 0.4907918359510274
fun: -0.48954186933994565
message: 'Optimization terminated successfully.'
nfev: 252
nit: 3
status: 0
success: True
x: array([195.97323235, 3.00053389, 3.09163202])
xopt: array([195., 3., 4.])
zopt: array([195., 198., 202.])
*******************************************
Period: 25
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 201.44564574]])
fopt: 0.8169604416300507
fun: -0.8149481469022618
message: 'Optimization terminated successfully.'
nfev: 536
nit: 6
status: 0
success: True
x: array([197.84187437, 1.09568784, 206.30244673])
xopt: array([197., 1., 207.])
zopt: array([197., 198., 405.])
*******************************************
Period: 26
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 2.03994162]])
fopt: 0.8289373713914122
fun: -0.8280651397887278
message: 'Optimization terminated successfully.'
nfev: 356
nit: 4
status: 0
success: True
x: array([197.81525528, 1.00813062, 206.06386985])
xopt: array([197., 1., 207.])
zopt: array([197., 198., 405.])
*******************************************
Period: 27
direc: array([[ 0.03472279, 0.00017814, 0.00017814],
[ 0. , 0. , 0. ],
[ 0. , -0.01648218, 0. ]])
fopt: 0.5234010616193324
fun: -0.5229760341076602
message: 'Optimization terminated successfully.'
nfev: 518
nit: 5
status: 0
success: True
x: array([195.95401954, 3.02676465, 3.00017814])
xopt: array([195., 3., 4.])
zopt: array([195., 198., 202.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 4.2087305 , 197.95873231]])
fopt: 0.7749390536292382
fun: -0.7749857890045222
message: 'Optimization terminated successfully.'
nfev: 412
nit: 6
status: 0
success: True
x: array([ 1.97483845e+02, -3.44576710e-06, 2.07000069e+02])
xopt: array([198., 0., 207.])
zopt: array([198., 198., 405.])
*******************************************
Period: 29
direc: array([[3.46784178e-04, 1.43455471e-08, 1.76438591e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4922874332100047
fun: -0.4922528753942159
message: 'Optimization terminated successfully.'
nfev: 308
nit: 3
status: 0
success: True
x: array([197.5470183 , 1.00931166, 3.00000176])
xopt: array([197., 1., 4.])
zopt: array([197., 198., 202.])
*******************************************
Period: 30
direc: array([[3.63637543e-03, 0.00000000e+00, 1.84912777e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4870811651465109
fun: -0.4866957488859019
message: 'Optimization terminated successfully.'
nfev: 330
nit: 3
status: 0
success: True
x: array([197.65712545, 1.02128623, 3.00001817])
xopt: array([197., 1., 4.])
zopt: array([197., 198., 202.])
*******************************************
Period: 31
direc: array([[-3.62407089e-01, 0.00000000e+00, 9.44271915e-01],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -1.93643383e-05, -0.00000000e+00]])
fopt: 0.4932949821604561
fun: -0.4929762345893001
message: 'Optimization terminated successfully.'
nfev: 467
nit: 6
status: 0
success: True
x: array([223.78441301, 5.02395261, 6.02410806])
xopt: array([223., 5., 7.])
zopt: array([223., 228., 235.])
*******************************************
Period: 32
direc: array([[ 1. , 0. , 0. ],
[ 2.27792287, 2.06206046, 2.27137786],
[ 5.56465531, 5.76926976, 19.16701052]])
fopt: 0.5223935260317257
fun: -0.5215976856760174
message: 'Optimization terminated successfully.'
nfev: 384
nit: 6
status: 0
success: True
x: array([226.9979993 , 11.02359655, 30.24170933])
xopt: array([226., 11., 31.])
zopt: array([226., 237., 268.])
*******************************************
Period: 33
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-9.21389517e+01, 3.43658199e+01, 6.79719676e+01],
[ 1.40550448e+01, 7.04287670e+00, -2.65226861e-02]])
fopt: 0.6817645083422581
fun: -0.6808334852804897
message: 'Optimization terminated successfully.'
nfev: 477
nit: 7
status: 0
success: True
x: array([151.98698237, 46.04421248, 70.97351035])
xopt: array([151., 47., 70.])
zopt: array([151., 198., 268.])
*******************************************
Period: 34
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7163324580354917
fun: -0.7161311415161936
message: 'Optimization terminated successfully.'
nfev: 482
nit: 6
status: 0
success: True
x: array([194.99999984, 3. , 207.00000006])
xopt: array([194., 4., 207.])
zopt: array([194., 198., 405.])
*******************************************
Period: 35
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.44392969039860203
fun: -0.44620642310686476
message: 'Optimization terminated successfully.'
nfev: 325
nit: 4
status: 0
success: True
x: array([ 2.66000280e+02, -2.80078105e-04, 2.01583767e+00])
xopt: array([266., 0., 2.])
zopt: array([266., 266., 268.])
*******************************************
Period: 36
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-9.05050837e+01, 5.42085977e+01, 3.61390652e+01],
[ 2.36678885e-03, 5.04262041e-01, 1.19590519e-02]])
fopt: 0.6959747290439814
fun: -0.6974603113583955
message: 'Optimization terminated successfully.'
nfev: 547
nit: 8
status: 0
success: True
x: array([ 84.9999848 , 129.01419137, 63.23796826])
xopt: array([ 85., 129., 64.])
zopt: array([ 85., 214., 278.])
*******************************************
Period: 37
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.75488487, 1. , 1.09558773]])
fopt: 0.7594503291913305
fun: -0.760249061745656
message: 'Optimization terminated successfully.'
nfev: 360
nit: 6
status: 0
success: True
x: array([ 85. , 113.00006564, 144.49488963])
xopt: array([ 85., 113., 145.])
zopt: array([ 85., 198., 343.])
*******************************************
Period: 38
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-6.72248624, 20.32913888, 23.98073654]])
fopt: 0.7487657170517945
fun: -0.7474367658252725
message: 'Optimization terminated successfully.'
nfev: 549
nit: 8
status: 0
success: True
x: array([ 87.00000779, 111. , 129.71705423])
xopt: array([ 87., 111., 129.])
zopt: array([ 87., 198., 327.])
*******************************************
Period: 39
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-144.64015194, 99.29206079, 66.19726524]])
fopt: 0.6401128950006882
fun: -0.6414009168559794
message: 'Optimization terminated successfully.'
nfev: 345
nit: 5
status: 0
success: True
x: array([ 93.03457446, 105.00162262, 71.19805976])
xopt: array([ 93., 105., 72.])
zopt: array([ 93., 198., 270.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-145.44074277, 97.30317165, 64.8687811 ]])
fopt: 0.6223981167030223
fun: -0.6222813283436937
message: 'Optimization terminated successfully.'
nfev: 396
nit: 6
status: 0
success: True
x: array([ 92.20665197, 106.00867365, 71.72292718])
xopt: array([ 92., 106., 72.])
zopt: array([ 92., 198., 270.])
*******************************************
Period: 41
direc: array([[-1.51655569, 1.01089027, 1.01089027],
[ 0. , 1. , 0. ],
[-1.52980583, 1.99607974, 0.99759634]])
fopt: 0.6672298373720968
fun: -0.6629973100144987
message: 'Optimization terminated successfully.'
nfev: 598
nit: 8
status: 0
success: True
x: array([ 83.01545882, 119. , 113.05788905])
xopt: array([ 84., 119., 114.])
zopt: array([ 84., 203., 317.])
*******************************************
Period: 42
direc: array([[-1.54142954, 1.09123193, 1.02747042],
[ 0. , 0. , 1. ],
[22.74431032, 30.37725774, 56.03555549]])
fopt: 0.7345560822357254
fun: -0.73324998533903
message: 'Optimization terminated successfully.'
nfev: 583
nit: 10
status: 0
success: True
x: array([ 87.00008284, 148.3636916 , 170.00000057])
xopt: array([ 87., 148., 170.])
zopt: array([ 87., 235., 405.])
*******************************************
Period: 43
direc: array([[ 0. , 0. , 1. ],
[-5.01577092, 2.04591012, 2.04591012],
[-2.72559722, 89.08586734, 94.18985533]])
fopt: 0.7074188071410533
fun: -0.7036304209015513
message: 'Optimization terminated successfully.'
nfev: 426
nit: 6
status: 0
success: True
x: array([ 82.46854746, 154.09900744, 160. ])
xopt: array([ 83., 154., 161.])
zopt: array([ 83., 237., 398.])
*******************************************
Period: 44
direc: array([[ 3.22313201e+01, -1.62058242e-01, 1.62985431e-01],
[-1.60150868e-05, 6.43771921e-10, -1.03132212e-06],
[-1.27505114e-03, 2.72643087e+01, -6.44760416e-06]])
fopt: 0.38025625565069415
fun: -0.37933259566481003
message: 'Optimization terminated successfully.'
nfev: 886
nit: 8
status: 0
success: True
x: array([228.9982779 , 35.27368895, 4.00597686])
xopt: array([228., 35., 5.])
zopt: array([228., 263., 268.])
*******************************************
Period: 45
direc: array([[-1.61292899e+01, 7.50285837e+00, 5.00190558e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.29933813e-04, -4.52401620e-09, -2.85837476e-04]])
fopt: 0.6807722419275993
fun: -0.6802993320208511
message: 'Optimization terminated successfully.'
nfev: 514
nit: 8
status: 0
success: True
x: array([ 83.81484761, 165.00000001, 151. ])
xopt: array([ 84., 165., 152.])
zopt: array([ 84., 249., 401.])
*******************************************
Period: 46
direc: array([[ -0.10563848, 1. , 1. ],
[ 0. , 1. , 0. ],
[-32.80301373, 47.18993886, 31.45995924]])
fopt: 0.6280133012852621
fun: -0.6272293437036924
message: 'Optimization terminated successfully.'
nfev: 478
nit: 7
status: 0
success: True
x: array([104.36504017, 179.00000101, 121.02232428])
xopt: array([104., 179., 122.])
zopt: array([104., 283., 405.])
*******************************************
Period: 47
direc: array([[ -0.83936992, 1.06729415, 1.06729415],
[ 0. , 1. , 0. ],
[-143.28632812, 125.50235145, 86.25314499]])
fopt: 0.5824495166931697
fun: -0.5773225123450003
message: 'Optimization terminated successfully.'
nfev: 374
nit: 5
status: 0
success: True
x: array([ 81.14783311, 134. , 94.01843741])
xopt: array([ 82., 135., 95.])
zopt: array([ 82., 217., 312.])
*******************************************
Period: 48
direc: array([[-4.37685653e-08, 5.23606800e+00, -2.23673459e-10],
[ 7.75751743e-03, 2.58184753e-04, 5.20211336e-04],
[-4.25854589e+01, 3.01622063e+01, -2.17867365e-01]])
fopt: 0.5174286890935644
fun: -0.5174157745004325
message: 'Optimization terminated successfully.'
nfev: 1124
nit: 12
status: 0
success: True
x: array([ 84.99239701, 263.06528025, 3.28433382])
xopt: array([ 85., 264., 4.])
zopt: array([ 85., 349., 353.])
*******************************************
Period: 49
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-6.68588408, 8.00511512, 5.33674341]])
fopt: 0.5978876465712968
fun: -0.5976610612772502
message: 'Optimization terminated successfully.'
nfev: 509
nit: 7
status: 0
success: True
x: array([ 85.00001081, 161.0000007 , 107.6838928 ])
xopt: array([ 85., 161., 107.])
zopt: array([ 85., 246., 353.])
*******************************************
Period: 50
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 17.02176194, 11.34784129]])
fopt: 0.3875845075332389
fun: -0.3873754640478262
message: 'Optimization terminated successfully.'
nfev: 393
nit: 5
status: 0
success: True
x: array([230.72121753, 23.0001418 , 16.3896621 ])
xopt: array([230., 23., 17.])
zopt: array([230., 253., 270.])
*******************************************
Period: 51
direc: array([[-1.45033364e+02, 9.58547496e+01, 9.41007958e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.38917885e-08, 2.30212038e-06, -7.63843915e-03]])
fopt: 0.5641837970006522
fun: -0.5603116161447204
message: 'Optimization terminated successfully.'
nfev: 423
nit: 6
status: 0
success: True
x: array([ 77.82475095, 107.00000001, 108.00000043])
xopt: array([ 78., 108., 109.])
zopt: array([ 78., 186., 295.])
*******************************************
Period: 52
direc: array([[6.62266841e-02, 2.90757243e-04, 5.81646351e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.26762904e-01, 1.87666456e+01, 1.25751463e+01]])
fopt: 0.391790419914854
fun: -0.3906475267990519
message: 'Optimization terminated successfully.'
nfev: 384
nit: 5
status: 0
success: True
x: array([229.16967001, 21.51035713, 18.60631273])
xopt: array([229., 21., 19.])
zopt: array([229., 250., 269.])
*******************************************
Period: 53
direc: array([[1.91087112e-01, 8.82810985e-04, 8.32796816e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.64992860e+01, 1.09995240e+01]])
fopt: 0.38668480623458
fun: -0.3870060754147649
message: 'Optimization terminated successfully.'
nfev: 562
nit: 7
status: 0
success: True
x: array([230.78907857, 22.01892595, 16.0256204 ])
xopt: array([230., 22., 17.])
zopt: array([230., 252., 269.])
*******************************************
Period: 54
direc: array([[ 1.02723068e-07, 6.70803892e+01, 4.47202595e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.71986379e-12, -9.92659630e-06, -5.40023192e-09]])
fopt: 0.41453252421545606
fun: -0.4132022349190878
message: 'Optimization terminated successfully.'
nfev: 501
nit: 6
status: 0
success: True
x: array([230.71476865, 104.03664081, 70.39703225])
xopt: array([230., 104., 71.])
zopt: array([230., 334., 405.])
*******************************************
Period: 55
direc: array([[1.15325370e-07, 4.99068038e-10, 1.00676375e-09],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.17038450e-06, 1.50000002e+01, 1.00000001e+01]])
fopt: 0.3822795480628966
fun: -0.3838600634941426
message: 'Optimization terminated successfully.'
nfev: 452
nit: 5
status: 0
success: True
x: array([232.08146196, 21.00000018, 16.01728772])
xopt: array([232., 21., 17.])
zopt: array([232., 253., 270.])
*******************************************
Period: 56
direc: array([[ 4.78218255e-01, 8.41972035e+01, 6.48694775e+01],
[-1.48685733e+00, 1.10336019e-04, 1.00000000e+00],
[-1.89095581e-14, 4.07300258e-18, -2.57098081e-10]])
fopt: 0.6666494071624118
fun: -0.6649905186826981
message: 'Optimization terminated successfully.'
nfev: 687
nit: 9
status: 0
success: True
x: array([100.62352392, 96.08936366, 207. ])
xopt: array([101., 97., 207.])
zopt: array([101., 198., 405.])
*******************************************
Period: 57
direc: array([[-1.06474535e+02, -1.28820527e-01, 1.59711805e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.46666393e-03, 3.60453413e+01, 2.40324287e+01]])
fopt: 0.6246321213813962
fun: -0.6228898907575091
message: 'Optimization terminated successfully.'
nfev: 841
nit: 12
status: 0
success: True
x: array([151.43842369, 47. , 205.00000078])
xopt: array([151., 47., 206.])
zopt: array([151., 198., 404.])
*******************************************
Period: 58
direc: array([[-138.90483562, 2.97629197, 138.43800509],
[ 0. , 1. , 0. ],
[ 0. , 72.59516605, 47.91280959]])
fopt: 0.6466605637866786
fun: -0.6460866531802468
message: 'Optimization terminated successfully.'
nfev: 691
nit: 9
status: 0
success: True
x: array([110.85949518, 87. , 207.07080092])
xopt: array([110., 88., 207.])
zopt: array([110., 198., 405.])
*******************************************
Period: 59
direc: array([[ 1.61898373e-05, 9.99999931e-01, 9.99975806e-01],
[-7.52200479e+01, 3.22049432e-01, 1.12406917e+02],
[ 1.72356420e-02, 2.71421628e+01, 4.06876023e+01]])
fopt: 0.6067203427488994
fun: -0.6052279537054934
message: 'Optimization terminated successfully.'
nfev: 980
nit: 14
status: 0
success: True
x: array([160.57250584, 36. , 207.39280707])
xopt: array([161., 37., 207.])
zopt: array([161., 198., 405.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp421d3_aa.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv02hya8t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [7e-02, 7e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.96966
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.07655 1.96966
Optimal solution found (tolerance 1.00e-02)
Best objective 3.076547788470e+00, best bound 3.076547788470e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpifd6hx7v.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8_1j3pyg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.956625
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.665878e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.6658779 2.66588 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.66588 0.956625
Optimal solution found (tolerance 1.00e-02)
Best objective 2.665877858394e+00, best bound 2.665877858394e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplv8d28yy.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwcstyu8k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51924
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.356388e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3563878 2.35639 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.35639 1.51924
Optimal solution found (tolerance 1.00e-02)
Best objective 2.356387757161e+00, best bound 2.356387757161e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz__s7c5j.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppsc309it.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49568
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.778719e+00, 42 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.77872 0 3 1.49568 2.77872 85.8% - 0s
H 0 0 2.1505438 2.77872 29.2% - 0s
0 0 2.20272 0 1 2.15054 2.20272 2.43% - 0s
0 0 cutoff 0 2.15054 2.15054 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (58 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.15054 1.49568
Optimal solution found (tolerance 1.00e-02)
Best objective 2.150543775473e+00, best bound 2.150543775473e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy_q89xo7.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvg6mckdh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.68704
Presolve removed 142 rows and 99 columns
Presolve time: 0.00s
Presolved: 95 rows, 76 columns, 323 nonzeros
Variable types: 37 continuous, 39 integer (34 binary)
Root relaxation: objective 2.280772e+00, 57 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.28077 0 4 1.68704 2.28077 35.2% - 0s
H 0 0 1.7496334 2.28077 30.4% - 0s
0 0 1.79277 0 2 1.74963 1.79277 2.47% - 0s
0 0 1.79120 0 1 1.74963 1.79120 2.38% - 0s
0 0 1.77325 0 3 1.74963 1.77325 1.35% - 0s
0 0 1.77245 0 1 1.74963 1.77245 1.30% - 0s
0 0 1.77042 0 1 1.74963 1.77042 1.19% - 0s
0 0 1.77042 0 1 1.74963 1.77042 1.19% - 0s
0 0 cutoff 0 1.74963 1.74963 0.00% - 0s
Explored 1 nodes (86 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.74963 1.68704
Optimal solution found (tolerance 1.00e-02)
Best objective 1.749633435155e+00, best bound 1.749633435155e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6l6a2ccv.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzljviwum.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.37858
Presolve removed 150 rows and 102 columns
Presolve time: 0.00s
Presolved: 133 rows, 106 columns, 454 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 2.290155e+00, 84 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29015 0 5 1.37858 2.29015 66.1% - 0s
H 0 0 1.7937543 2.29015 27.7% - 0s
0 0 1.87037 0 2 1.79375 1.87037 4.27% - 0s
0 0 1.87022 0 2 1.79375 1.87022 4.26% - 0s
0 0 1.85585 0 2 1.79375 1.85585 3.46% - 0s
0 0 1.85513 0 2 1.79375 1.85513 3.42% - 0s
0 0 1.85513 0 2 1.79375 1.85513 3.42% - 0s
0 0 1.83558 0 1 1.79375 1.83558 2.33% - 0s
0 0 infeasible 0 1.79375 1.79375 0.00% - 0s
Explored 1 nodes (152 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.79375 1.37858
Optimal solution found (tolerance 1.00e-02)
Best objective 1.793754281685e+00, best bound 1.793754281685e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpra0mnur8.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9pauk0ar.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41212
Presolve removed 165 rows and 111 columns
Presolve time: 0.00s
Presolved: 164 rows, 130 columns, 563 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 2.293515e+00, 97 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.29351 0 8 1.41212 2.29351 62.4% - 0s
H 0 0 1.7644239 2.29351 30.0% - 0s
0 0 2.02474 0 10 1.76442 2.02474 14.8% - 0s
0 0 1.88254 0 3 1.76442 1.88254 6.69% - 0s
0 0 1.88152 0 3 1.76442 1.88152 6.64% - 0s
0 0 1.88060 0 3 1.76442 1.88060 6.58% - 0s
0 0 1.88060 0 3 1.76442 1.88060 6.58% - 0s
0 0 1.87990 0 1 1.76442 1.87990 6.54% - 0s
0 0 1.77532 0 1 1.76442 1.77532 0.62% - 0s
Explored 1 nodes (201 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.76442 1.41212
Optimal solution found (tolerance 1.00e-02)
Best objective 1.764423933591e+00, best bound 1.775321920695e+00, gap 0.6177%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9c9q2on4.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6tvx5w6n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43193
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.282998e+00, 131 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.28300 0 11 1.43193 2.28300 59.4% - 0s
H 0 0 1.7290960 2.28300 32.0% - 0s
0 0 1.98293 0 14 1.72910 1.98293 14.7% - 0s
0 0 1.93217 0 6 1.72910 1.93217 11.7% - 0s
0 0 1.93198 0 6 1.72910 1.93198 11.7% - 0s
0 0 1.90580 0 5 1.72910 1.90580 10.2% - 0s
0 0 1.90577 0 5 1.72910 1.90577 10.2% - 0s
0 0 1.90577 0 5 1.72910 1.90577 10.2% - 0s
0 0 1.90577 0 3 1.72910 1.90577 10.2% - 0s
0 0 1.89518 0 3 1.72910 1.89518 9.61% - 0s
0 0 1.75366 0 2 1.72910 1.75366 1.42% - 0s
0 0 1.74796 0 2 1.72910 1.74796 1.09% - 0s
0 0 1.74619 0 2 1.72910 1.74619 0.99% - 0s
Explored 1 nodes (289 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.7291 1.43193
Optimal solution found (tolerance 1.00e-02)
Best objective 1.729095951786e+00, best bound 1.746192248027e+00, gap 0.9887%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmkrrvtaf.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7n9zgnpi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.45628
Presolve removed 186 rows and 123 columns
Presolve time: 0.00s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.190967e+00, 158 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.19097 0 14 1.45628 2.19097 50.4% - 0s
H 0 0 1.6265900 2.19097 34.7% - 0s
0 0 1.86342 0 13 1.62659 1.86342 14.6% - 0s
0 0 1.86271 0 16 1.62659 1.86271 14.5% - 0s
0 0 1.86045 0 16 1.62659 1.86045 14.4% - 0s
0 0 1.85964 0 16 1.62659 1.85964 14.3% - 0s
0 0 1.85964 0 16 1.62659 1.85964 14.3% - 0s
0 2 1.83645 0 15 1.62659 1.83645 12.9% - 0s
Cutting planes:
Gomory: 7
Implied bound: 3
MIR: 2
Flow cover: 8
Explored 16 nodes (311 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62659 1.45628
Optimal solution found (tolerance 1.00e-02)
Best objective 1.626590001646e+00, best bound 1.626590001646e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdmccren6.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn16hhaj8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39785
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 2.131753e+00, 176 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13175 0 17 1.39785 2.13175 52.5% - 0s
H 0 0 1.4167552 2.13175 50.5% - 0s
0 0 1.82749 0 18 1.41676 1.82749 29.0% - 0s
H 0 0 1.5633621 1.82749 16.9% - 0s
0 0 1.82717 0 18 1.56336 1.82717 16.9% - 0s
0 0 1.81226 0 19 1.56336 1.81226 15.9% - 0s
H 0 0 1.5643372 1.81226 15.8% - 0s
0 0 1.81152 0 19 1.56434 1.81152 15.8% - 0s
0 0 1.81152 0 19 1.56434 1.81152 15.8% - 0s
H 0 0 1.5711627 1.81152 15.3% - 0s
0 2 1.81152 0 19 1.57116 1.81152 15.3% - 0s
* 28 0 10 1.5731129 1.58990 1.07% 5.1 0s
Cutting planes:
Gomory: 8
Implied bound: 3
MIR: 1
Flow cover: 13
Explored 30 nodes (434 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.57311 1.57116 1.56434 ... 1.39785
Optimal solution found (tolerance 1.00e-02)
Best objective 1.573112869565e+00, best bound 1.573112869565e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9cro83bt.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6_fwpprw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.39375
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 2.025892e+00, 183 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02589 0 18 1.39375 2.02589 45.4% - 0s
H 0 0 1.4895179 2.02589 36.0% - 0s
0 0 1.73148 0 29 1.48952 1.73148 16.2% - 0s
0 0 1.72101 0 28 1.48952 1.72101 15.5% - 0s
0 0 1.71170 0 30 1.48952 1.71170 14.9% - 0s
0 0 1.71161 0 30 1.48952 1.71161 14.9% - 0s
0 0 1.71001 0 30 1.48952 1.71001 14.8% - 0s
0 0 1.70767 0 30 1.48952 1.70767 14.6% - 0s
0 0 1.70735 0 28 1.48952 1.70735 14.6% - 0s
0 0 1.70735 0 28 1.48952 1.70735 14.6% - 0s
H 0 0 1.4895179 1.70735 14.6% - 0s
0 2 1.70735 0 28 1.48952 1.70735 14.6% - 0s
Cutting planes:
Gomory: 9
Implied bound: 6
MIR: 3
Flow cover: 8
Explored 34 nodes (532 simplex iterations) in 0.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.48952 1.48952 1.39375
Optimal solution found (tolerance 1.00e-02)
Best objective 1.489517943673e+00, best bound 1.489517943673e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0i_6od8g.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8nelmol2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31118
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 2.039359e+00, 216 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03936 0 21 1.31118 2.03936 55.5% - 0s
H 0 0 1.3855934 2.03936 47.2% - 0s
0 0 1.74059 0 36 1.38559 1.74059 25.6% - 0s
0 0 1.73805 0 32 1.38559 1.73805 25.4% - 0s
0 0 1.73789 0 32 1.38559 1.73789 25.4% - 0s
0 0 1.73601 0 32 1.38559 1.73601 25.3% - 0s
0 0 1.73504 0 32 1.38559 1.73504 25.2% - 0s
0 0 1.73504 0 32 1.38559 1.73504 25.2% - 0s
0 2 1.73504 0 32 1.38559 1.73504 25.2% - 0s
H 29 15 1.5075762 1.54797 2.68% 7.4 0s
Cutting planes:
Gomory: 9
Implied bound: 6
MIR: 4
Flow cover: 13
Explored 65 nodes (726 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.50758 1.38559 1.31118
Optimal solution found (tolerance 1.00e-02)
Best objective 1.507576186593e+00, best bound 1.510472702213e+00, gap 0.1921%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt11mnp03.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe_mn6r8v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.34647
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.968991e+00, 244 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96899 0 24 1.34647 1.96899 46.2% - 0s
H 0 0 1.4379604 1.96899 36.9% - 0s
0 0 1.65399 0 38 1.43796 1.65399 15.0% - 0s
0 0 1.65067 0 35 1.43796 1.65067 14.8% - 0s
0 0 1.65038 0 35 1.43796 1.65038 14.8% - 0s
0 0 1.64879 0 35 1.43796 1.64879 14.7% - 0s
0 0 1.64846 0 35 1.43796 1.64846 14.6% - 0s
0 0 1.64846 0 35 1.43796 1.64846 14.6% - 0s
0 2 1.64846 0 35 1.43796 1.64846 14.6% - 0s
Cutting planes:
Gomory: 10
Implied bound: 12
MIR: 1
Flow cover: 13
Inf proof: 2
Explored 142 nodes (1095 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.43796 1.34647
Optimal solution found (tolerance 1.00e-02)
Best objective 1.437960399995e+00, best bound 1.437960399995e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp34mm8z78.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpji0bi3io.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29082
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.943092e+00, 271 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.94309 0 27 1.29082 1.94309 50.5% - 0s
0 0 1.63222 0 43 1.29082 1.63222 26.4% - 0s
0 0 1.63222 0 43 1.29082 1.63222 26.4% - 0s
0 0 1.62260 0 38 1.29082 1.62260 25.7% - 0s
0 0 1.62255 0 38 1.29082 1.62255 25.7% - 0s
0 0 1.62018 0 41 1.29082 1.62018 25.5% - 0s
0 0 1.62017 0 41 1.29082 1.62017 25.5% - 0s
0 0 1.61882 0 43 1.29082 1.61882 25.4% - 0s
0 0 1.61882 0 43 1.29082 1.61882 25.4% - 0s
H 0 0 1.3799398 1.61882 17.3% - 0s
0 2 1.61882 0 43 1.37994 1.61882 17.3% - 0s
* 94 42 22 1.4146336 1.47302 4.13% 5.7 0s
Cutting planes:
Gomory: 13
Implied bound: 7
MIR: 3
Flow cover: 15
Explored 184 nodes (1508 simplex iterations) in 0.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.41463 1.37994 1.29082
Optimal solution found (tolerance 1.00e-02)
Best objective 1.414633635367e+00, best bound 1.414633635367e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprat1xaav.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxofvacdx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.30634
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.837107e+00, 306 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83711 0 30 1.30634 1.83711 40.6% - 0s
0 0 1.52098 0 37 1.30634 1.52098 16.4% - 0s
0 0 1.51400 0 33 1.30634 1.51400 15.9% - 0s
0 0 1.51299 0 36 1.30634 1.51299 15.8% - 0s
0 0 1.51299 0 36 1.30634 1.51299 15.8% - 0s
0 2 1.51299 0 36 1.30634 1.51299 15.8% - 0s
* 112 37 27 1.3236902 1.38652 4.75% 5.0 0s
Cutting planes:
Gomory: 15
Implied bound: 6
MIR: 1
Flow cover: 16
Explored 269 nodes (1846 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.32369 1.30634
Optimal solution found (tolerance 1.00e-02)
Best objective 1.323690220084e+00, best bound 1.323690220084e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyrhhlrt7.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzwl6fohl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19755
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.809474e+00, 323 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80947 0 33 1.19755 1.80947 51.1% - 0s
0 0 1.49129 0 33 1.19755 1.49129 24.5% - 0s
0 0 1.48009 0 36 1.19755 1.48009 23.6% - 0s
0 0 1.47954 0 40 1.19755 1.47954 23.5% - 0s
0 0 1.47954 0 37 1.19755 1.47954 23.5% - 0s
H 0 0 1.2786433 1.47954 15.7% - 0s
0 2 1.47954 0 37 1.27864 1.47954 15.7% - 0s
* 787 28 34 1.2837741 1.30418 1.59% 5.9 0s
* 817 2 32 1.2901004 1.30164 0.89% 5.9 0s
Cutting planes:
Gomory: 17
Cover: 1
Implied bound: 14
Flow cover: 14
Inf proof: 9
Explored 898 nodes (5597 simplex iterations) in 0.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.2901 1.28377 1.27864 1.19755
Optimal solution found (tolerance 1.00e-02)
Best objective 1.290100368213e+00, best bound 1.291975742432e+00, gap 0.1454%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy1dbc7yt.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz_l_s5ml.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20054
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.707261e+00, 350 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70726 0 34 1.20054 1.70726 42.2% - 0s
H 0 0 1.2072661 1.70726 41.4% - 0s
0 0 1.40109 0 34 1.20727 1.40109 16.1% - 0s
0 0 1.40065 0 34 1.20727 1.40065 16.0% - 0s
0 0 1.38446 0 28 1.20727 1.38446 14.7% - 0s
0 0 1.38419 0 33 1.20727 1.38419 14.7% - 0s
0 0 1.38419 0 33 1.20727 1.38419 14.7% - 0s
0 2 1.38419 0 33 1.20727 1.38419 14.7% - 0s
Cutting planes:
Gomory: 17
Cover: 2
Implied bound: 14
Flow cover: 16
Inf proof: 8
Explored 1026 nodes (5814 simplex iterations) in 0.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.20727 1.20054
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (3.4651e-06) exceeds tolerance
Best objective 1.207266060032e+00, best bound 1.219080674377e+00, gap 0.9786%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm0mxth0i.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpir0ys3lz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1175
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.660306e+00, 365 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66031 0 41 1.11750 1.66031 48.6% - 0s
0 0 1.35977 0 45 1.11750 1.35977 21.7% - 0s
0 0 1.35464 0 42 1.11750 1.35464 21.2% - 0s
0 0 1.35419 0 40 1.11750 1.35419 21.2% - 0s
0 0 1.35213 0 42 1.11750 1.35213 21.0% - 0s
0 0 1.35125 0 42 1.11750 1.35125 20.9% - 0s
0 0 1.35125 0 40 1.11750 1.35125 20.9% - 0s
0 2 1.35125 0 38 1.11750 1.35125 20.9% - 0s
* 237 152 44 1.1266260 1.25363 11.3% 7.3 0s
* 238 149 44 1.1371453 1.25363 10.2% 7.3 0s
H 736 318 1.1652621 1.24529 6.87% 6.4 0s
Cutting planes:
Gomory: 41
Implied bound: 9
Projected implied bound: 4
MIR: 6
Flow cover: 11
Inf proof: 8
Explored 1614 nodes (12530 simplex iterations) in 1.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.16526 1.13715 1.12663 1.1175
Optimal solution found (tolerance 1.00e-02)
Best objective 1.165262126301e+00, best bound 1.175464482896e+00, gap 0.8755%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzjee7uk1.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnv5vxywq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09906
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.572103e+00, 409 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57210 0 40 1.09906 1.57210 43.0% - 0s
0 0 1.28433 0 44 1.09906 1.28433 16.9% - 0s
0 0 1.27894 0 45 1.09906 1.27894 16.4% - 0s
0 0 1.27850 0 43 1.09906 1.27850 16.3% - 0s
0 0 1.27727 0 47 1.09906 1.27727 16.2% - 0s
0 0 1.27727 0 42 1.09906 1.27727 16.2% - 0s
0 2 1.27727 0 42 1.09906 1.27727 16.2% - 0s
H 993 217 1.0990591 1.15811 5.37% 7.2 0s
Cutting planes:
Gomory: 21
Cover: 3
Implied bound: 23
MIR: 3
Flow cover: 19
Inf proof: 18
Explored 1779 nodes (14617 simplex iterations) in 1.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.09906 1.09906
Optimal solution found (tolerance 1.00e-02)
Best objective 1.099059110644e+00, best bound 1.099059110644e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpitd75pss.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpun2l3wll.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03128
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.558932e+00, 431 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55893 0 50 1.03128 1.55893 51.2% - 0s
0 0 1.28233 0 49 1.03128 1.28233 24.3% - 0s
0 0 1.27556 0 52 1.03128 1.27556 23.7% - 0s
0 0 1.27513 0 49 1.03128 1.27513 23.6% - 0s
0 0 1.27381 0 54 1.03128 1.27381 23.5% - 0s
0 0 1.27381 0 54 1.03128 1.27381 23.5% - 0s
0 2 1.27381 0 52 1.03128 1.27381 23.5% - 0s
* 1629 324 58 1.0745811 1.14555 6.60% 7.4 1s
* 2082 243 59 1.0796421 1.12983 4.65% 7.3 2s
Cutting planes:
Gomory: 38
Cover: 2
Implied bound: 10
Projected implied bound: 17
MIR: 9
Flow cover: 19
Inf proof: 18
Explored 2657 nodes (20337 simplex iterations) in 2.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.07964 1.07458 1.03128
Optimal solution found (tolerance 1.00e-02)
Best objective 1.079642129612e+00, best bound 1.087284191795e+00, gap 0.7078%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppxs1wb4u.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmftfj3wz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.994415
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.537068e+00, 457 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53707 0 55 0.99441 1.53707 54.6% - 0s
0 0 1.25865 0 60 0.99441 1.25865 26.6% - 0s
0 0 1.25864 0 60 0.99441 1.25864 26.6% - 0s
0 0 1.25067 0 55 0.99441 1.25067 25.8% - 0s
0 0 1.25064 0 55 0.99441 1.25064 25.8% - 0s
0 0 1.24822 0 52 0.99441 1.24822 25.5% - 0s
0 0 1.24819 0 52 0.99441 1.24819 25.5% - 0s
0 0 1.24805 0 59 0.99441 1.24805 25.5% - 0s
0 0 1.24805 0 53 0.99441 1.24805 25.5% - 0s
0 2 1.24805 0 53 0.99441 1.24805 25.5% - 0s
H 787 375 1.0373136 1.16865 12.7% 7.6 0s
* 1109 421 72 1.0403649 1.13882 9.46% 8.7 2s
* 1132 398 79 1.0411797 1.13882 9.38% 8.6 2s
* 2670 245 69 1.0493065 1.06722 1.71% 9.0 3s
Cutting planes:
Gomory: 60
Cover: 2
Implied bound: 7
Projected implied bound: 20
MIR: 8
Flow cover: 23
Inf proof: 16
Explored 3226 nodes (29486 simplex iterations) in 4.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.04931 1.04118 1.04036 ... 0.994415
Optimal solution found (tolerance 1.00e-02)
Best objective 1.049306535710e+00, best bound 1.056398820023e+00, gap 0.6759%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp34f0gbci.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp819ti14r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0231
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.476649e+00, 480 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47665 0 58 1.02310 1.47665 44.3% - 0s
0 0 1.23502 0 60 1.02310 1.23502 20.7% - 0s
0 0 1.22846 0 62 1.02310 1.22846 20.1% - 0s
0 0 1.22846 0 61 1.02310 1.22846 20.1% - 0s
0 0 1.22776 0 66 1.02310 1.22776 20.0% - 0s
0 0 1.22776 0 64 1.02310 1.22776 20.0% - 0s
0 2 1.22776 0 64 1.02310 1.22776 20.0% - 0s
3520 271 cutoff 34 1.02310 1.07660 5.23% 10.7 5s
Cutting planes:
Gomory: 63
Cover: 5
Implied bound: 8
Projected implied bound: 16
MIR: 8
Flow cover: 31
Inf proof: 33
Mod-K: 1
Explored 4988 nodes (52292 simplex iterations) in 6.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.0231
Optimal solution found (tolerance 1.00e-02)
Best objective 1.023096206853e+00, best bound 1.023096206853e+00, gap 0.0000%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpomop_z5g.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpad78c3ev.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [5e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00978
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.416327e+00, 526 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41633 0 59 1.00978 1.41633 40.3% - 0s
0 0 1.23294 0 62 1.00978 1.23294 22.1% - 0s
0 0 1.22636 0 67 1.00978 1.22636 21.4% - 0s
0 0 1.22595 0 69 1.00978 1.22595 21.4% - 0s
0 0 1.22564 0 69 1.00978 1.22564 21.4% - 0s
0 0 1.22533 0 71 1.00978 1.22533 21.3% - 0s
0 0 1.22491 0 72 1.00978 1.22491 21.3% - 0s
0 0 1.22490 0 72 1.00978 1.22490 21.3% - 0s
0 0 1.22363 0 73 1.00978 1.22363 21.2% - 0s
0 0 1.22363 0 73 1.00978 1.22363 21.2% - 0s
0 1 1.22363 0 73 1.00978 1.22363 21.2% - 0s
Cutting planes:
Gomory: 55
Implied bound: 5
Projected implied bound: 19
MIR: 9
Flow cover: 23
Inf proof: 7
Explored 2261 nodes (20685 simplex iterations) in 3.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00978
Optimal solution found (tolerance 1.00e-02)
Best objective 1.009782097937e+00, best bound 1.018725194070e+00, gap 0.8856%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgc32qjr4.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphiprn_1_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.981539
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.367071e+00, 519 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36707 0 62 0.98154 1.36707 39.3% - 0s
0 0 1.20792 0 65 0.98154 1.20792 23.1% - 0s
0 0 1.19099 0 74 0.98154 1.19099 21.3% - 0s
0 0 1.18176 0 76 0.98154 1.18176 20.4% - 0s
0 0 1.17810 0 85 0.98154 1.17810 20.0% - 0s
0 0 1.17784 0 88 0.98154 1.17784 20.0% - 0s
0 0 1.17784 0 88 0.98154 1.17784 20.0% - 0s
0 0 1.17653 0 86 0.98154 1.17653 19.9% - 0s
0 0 1.17653 0 86 0.98154 1.17653 19.9% - 0s
0 0 1.17653 0 84 0.98154 1.17653 19.9% - 0s
0 1 1.17653 0 84 0.98154 1.17653 19.9% - 0s
* 1896 408 75 0.9816139 1.03812 5.76% 9.8 4s
2685 363 cutoff 40 0.98161 1.00811 2.70% 9.7 5s
Cutting planes:
Gomory: 59
Implied bound: 19
Projected implied bound: 6
Clique: 3
MIR: 11
Flow cover: 32
Inf proof: 26
Explored 4274 nodes (38667 simplex iterations) in 6.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.981614 0.981539
Optimal solution found (tolerance 1.00e-02)
Best objective 9.816139302646e-01, best bound 9.914024139600e-01, gap 0.9972%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppenvnvq_.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvumzp99v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.981759
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.360998e+00, 562 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36100 0 63 0.98176 1.36100 38.6% - 0s
0 0 1.20540 0 69 0.98176 1.20540 22.8% - 0s
0 0 1.20540 0 69 0.98176 1.20540 22.8% - 0s
0 0 1.18365 0 71 0.98176 1.18365 20.6% - 0s
0 0 1.17988 0 72 0.98176 1.17988 20.2% - 0s
0 0 1.17950 0 72 0.98176 1.17950 20.1% - 0s
0 0 1.17910 0 74 0.98176 1.17910 20.1% - 0s
0 0 1.17831 0 74 0.98176 1.17831 20.0% - 0s
0 0 1.17730 0 77 0.98176 1.17730 19.9% - 0s
0 0 1.17728 0 77 0.98176 1.17728 19.9% - 0s
0 0 1.17728 0 75 0.98176 1.17728 19.9% - 0s
0 1 1.17728 0 75 0.98176 1.17728 19.9% - 0s
3314 467 infeasible 55 0.98176 1.00230 2.09% 8.7 5s
Cutting planes:
Gomory: 62
Cover: 3
Implied bound: 10
Projected implied bound: 16
MIR: 15
Flow cover: 20
Inf proof: 12
Explored 4346 nodes (38177 simplex iterations) in 5.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.981759
Optimal solution found (tolerance 1.00e-02)
Best objective 9.817590269016e-01, best bound 9.913678601402e-01, gap 0.9787%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf_pfpqes.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxf18tdsb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.987398
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.362201e+00, 565 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36220 0 62 0.98740 1.36220 38.0% - 0s
0 0 1.21492 0 69 0.98740 1.21492 23.0% - 0s
0 0 1.19459 0 69 0.98740 1.19459 21.0% - 0s
0 0 1.19111 0 72 0.98740 1.19111 20.6% - 0s
0 0 1.18900 0 82 0.98740 1.18900 20.4% - 0s
0 0 1.18865 0 85 0.98740 1.18865 20.4% - 0s
0 0 1.18851 0 84 0.98740 1.18851 20.4% - 0s
0 0 1.18851 0 81 0.98740 1.18851 20.4% - 0s
0 1 1.18851 0 80 0.98740 1.18851 20.4% - 0s
2517 367 cutoff 42 0.98740 1.03191 4.51% 11.7 5s
Cutting planes:
Gomory: 62
Cover: 1
Implied bound: 16
Projected implied bound: 19
MIR: 12
Flow cover: 31
Inf proof: 24
Explored 4590 nodes (46766 simplex iterations) in 7.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.987398
Optimal solution found (tolerance 1.00e-02)
Best objective 9.873975495371e-01, best bound 9.959031758903e-01, gap 0.8614%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ysh1_in.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg1flypy6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [4e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.955763
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.318126e+00, 589 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31813 0 65 0.95576 1.31813 37.9% - 0s
0 0 1.17429 0 67 0.95576 1.17429 22.9% - 0s
0 0 1.17429 0 67 0.95576 1.17429 22.9% - 0s
0 0 1.15445 0 74 0.95576 1.15445 20.8% - 0s
0 0 1.15088 0 77 0.95576 1.15088 20.4% - 0s
0 0 1.14859 0 87 0.95576 1.14859 20.2% - 0s
0 0 1.14858 0 90 0.95576 1.14858 20.2% - 0s
0 0 1.14291 0 92 0.95576 1.14291 19.6% - 0s
0 0 1.14285 0 90 0.95576 1.14285 19.6% - 0s
0 0 1.13309 0 92 0.95576 1.13309 18.6% - 0s
0 0 1.13304 0 92 0.95576 1.13304 18.5% - 0s
0 0 1.13213 0 93 0.95576 1.13213 18.5% - 0s
0 0 1.13213 0 88 0.95576 1.13213 18.5% - 0s
0 2 1.13213 0 88 0.95576 1.13213 18.5% - 0s
2370 296 0.98338 44 42 0.95576 1.00255 4.89% 11.7 5s
Cutting planes:
Gomory: 59
Cover: 1
Implied bound: 15
Projected implied bound: 27
MIR: 10
Flow cover: 37
Inf proof: 28
Explored 5525 nodes (57284 simplex iterations) in 8.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.955763
Optimal solution found (tolerance 1.00e-02)
Best objective 9.557629960574e-01, best bound 9.627589570882e-01, gap 0.7320%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprmgigqrl.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgx8xbz01.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.92342
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.270918e+00, 659 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27092 0 66 0.92342 1.27092 37.6% - 0s
0 0 1.13407 0 70 0.92342 1.13407 22.8% - 0s
0 0 1.11438 0 75 0.92342 1.11438 20.7% - 0s
0 0 1.11103 0 80 0.92342 1.11103 20.3% - 0s
0 0 1.10994 0 81 0.92342 1.10994 20.2% - 0s
0 0 1.10963 0 84 0.92342 1.10963 20.2% - 0s
0 0 1.10353 0 88 0.92342 1.10353 19.5% - 0s
0 0 1.10353 0 89 0.92342 1.10353 19.5% - 0s
0 0 1.09696 0 83 0.92342 1.09696 18.8% - 0s
0 0 1.09578 0 86 0.92342 1.09578 18.7% - 0s
0 0 1.09568 0 87 0.92342 1.09568 18.7% - 0s
0 0 1.09468 0 91 0.92342 1.09468 18.5% - 0s
0 0 1.09466 0 91 0.92342 1.09466 18.5% - 0s
0 0 1.09465 0 91 0.92342 1.09465 18.5% - 0s
0 0 1.09465 0 91 0.92342 1.09465 18.5% - 0s
0 2 1.09465 0 89 0.92342 1.09465 18.5% - 0s
2195 491 0.93031 55 38 0.92342 0.96704 4.72% 10.4 5s
Cutting planes:
Learned: 1
Gomory: 60
Cover: 2
Implied bound: 16
Projected implied bound: 21
Clique: 5
MIR: 12
Flow cover: 31
Inf proof: 29
Explored 5987 nodes (60230 simplex iterations) in 9.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.92342
Optimal solution found (tolerance 1.00e-02)
Best objective 9.234203695946e-01, best bound 9.322745552305e-01, gap 0.9588%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpltl5yttr.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp661eo0ef.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895819
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.236600e+00, 697 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23660 0 69 0.89582 1.23660 38.0% - 0s
0 0 1.17804 0 78 0.89582 1.17804 31.5% - 0s
0 0 1.17799 0 78 0.89582 1.17799 31.5% - 0s
0 0 1.13873 0 79 0.89582 1.13873 27.1% - 0s
0 0 1.13873 0 79 0.89582 1.13873 27.1% - 0s
0 0 1.13738 0 87 0.89582 1.13738 27.0% - 0s
0 0 1.13727 0 91 0.89582 1.13727 27.0% - 0s
0 0 1.13633 0 88 0.89582 1.13633 26.8% - 0s
0 0 1.13633 0 88 0.89582 1.13633 26.8% - 0s
0 0 1.13630 0 89 0.89582 1.13630 26.8% - 0s
0 0 1.13630 0 87 0.89582 1.13630 26.8% - 0s
0 2 1.13630 0 87 0.89582 1.13630 26.8% - 0s
2266 582 0.89670 60 37 0.89582 0.95271 6.35% 9.7 5s
6442 754 cutoff 58 0.89582 0.90883 1.45% 9.6 10s
Cutting planes:
Gomory: 65
Implied bound: 13
Projected implied bound: 26
MIR: 8
Flow cover: 31
Inf proof: 37
Explored 7497 nodes (74218 simplex iterations) in 11.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.895819
Optimal solution found (tolerance 1.00e-02)
Best objective 8.958194881846e-01, best bound 9.038977187283e-01, gap 0.9018%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt5l92cm1.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcvnsqq7c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.876062
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.195052e+00, 713 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19505 0 67 0.87606 1.19505 36.4% - 0s
0 0 1.07467 0 77 0.87606 1.07467 22.7% - 0s
0 0 1.07461 0 77 0.87606 1.07461 22.7% - 0s
0 0 1.06651 0 79 0.87606 1.06651 21.7% - 0s
0 0 1.06570 0 86 0.87606 1.06570 21.6% - 0s
0 0 1.06522 0 90 0.87606 1.06522 21.6% - 0s
0 0 1.06518 0 87 0.87606 1.06518 21.6% - 0s
0 0 1.06344 0 92 0.87606 1.06344 21.4% - 0s
0 0 1.06344 0 92 0.87606 1.06344 21.4% - 0s
0 0 1.06344 0 92 0.87606 1.06344 21.4% - 0s
0 0 1.06344 0 88 0.87606 1.06344 21.4% - 0s
0 2 1.06344 0 87 0.87606 1.06344 21.4% - 0s
1966 308 0.91450 45 39 0.87606 0.93452 6.67% 11.6 5s
* 4400 661 93 0.8760690 0.90097 2.84% 10.4 7s
6277 633 0.88092 54 47 0.87607 0.89291 1.92% 10.1 10s
Cutting planes:
Gomory: 56
Implied bound: 14
Projected implied bound: 21
MIR: 15
Flow cover: 25
Inf proof: 37
Explored 7406 nodes (76210 simplex iterations) in 11.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.876069 0.876062
Optimal solution found (tolerance 1.00e-02)
Best objective 8.760690224088e-01, best bound 8.847778017989e-01, gap 0.9941%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoz3cqlpk.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprrbdprfp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.860942
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.189159e+00, 720 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18916 0 77 0.86094 1.18916 38.1% - 0s
0 0 1.06772 0 92 0.86094 1.06772 24.0% - 0s
0 0 1.06183 0 96 0.86094 1.06183 23.3% - 0s
0 0 1.06120 0 95 0.86094 1.06120 23.3% - 0s
0 0 1.06069 0 104 0.86094 1.06069 23.2% - 0s
0 0 1.06069 0 104 0.86094 1.06069 23.2% - 0s
0 0 1.06031 0 109 0.86094 1.06031 23.2% - 0s
0 0 1.06031 0 97 0.86094 1.06031 23.2% - 0s
0 2 1.06031 0 97 0.86094 1.06031 23.2% - 0s
* 1338 512 106 0.8655459 0.96645 11.7% 13.5 4s
* 1339 486 105 0.8656955 0.96645 11.6% 13.5 4s
1372 483 cutoff 32 0.86570 0.96645 11.6% 13.6 5s
4574 1153 0.89108 34 72 0.86570 0.92556 6.92% 12.6 10s
H 6186 1403 0.8662141 0.91373 5.49% 12.8 12s
7404 1564 0.88649 35 72 0.86621 0.90524 4.51% 12.8 15s
11416 2244 0.87317 64 52 0.86621 0.89455 3.27% 12.5 20s
15768 2523 cutoff 66 0.86621 0.88885 2.61% 12.7 25s
19169 2189 0.87770 69 28 0.86621 0.88443 2.10% 13.2 30s
22746 1438 cutoff 68 0.86621 0.87792 1.35% 13.5 35s
Cutting planes:
Gomory: 61
Cover: 3
Implied bound: 22
Projected implied bound: 20
MIR: 13
Flow cover: 48
Inf proof: 135
Explored 24305 nodes (329006 simplex iterations) in 36.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.866214 0.865696 0.865546 0.860942
Optimal solution found (tolerance 1.00e-02)
Best objective 8.662141277801e-01, best bound 8.746855319632e-01, gap 0.9780%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf2dbn60e.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6tlhb3rj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.839597
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.151900e+00, 762 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15190 0 76 0.83960 1.15190 37.2% - 0s
0 0 1.03501 0 90 0.83960 1.03501 23.3% - 0s
0 0 1.02927 0 98 0.83960 1.02927 22.6% - 0s
0 0 1.02866 0 97 0.83960 1.02866 22.5% - 0s
0 0 1.02808 0 99 0.83960 1.02808 22.4% - 0s
0 0 1.02772 0 105 0.83960 1.02772 22.4% - 0s
0 0 1.02772 0 95 0.83960 1.02772 22.4% - 0s
0 2 1.02772 0 95 0.83960 1.02772 22.4% - 0s
1987 653 cutoff 49 0.83960 0.91021 8.41% 10.7 5s
5722 1110 0.86837 54 47 0.83960 0.87359 4.05% 10.7 10s
11138 2160 cutoff 70 0.83960 0.86149 2.61% 10.3 15s
H12805 1791 0.8395974 0.85690 2.06% 11.2 17s
14236 1529 infeasible 61 0.83960 0.85259 1.55% 11.5 20s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 9
Projected implied bound: 21
MIR: 18
Flow cover: 56
Inf proof: 107
Explored 16079 nodes (195209 simplex iterations) in 23.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.839597 0.839597
Optimal solution found (tolerance 1.00e-02)
Best objective 8.395974178367e-01, best bound 8.479778325430e-01, gap 0.9981%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpicaxml5d.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphb3tbwjk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844525
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.142794e+00, 792 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14279 0 82 0.84452 1.14279 35.3% - 0s
0 0 1.08611 0 86 0.84452 1.08611 28.6% - 0s
0 0 1.08611 0 86 0.84452 1.08611 28.6% - 0s
0 0 1.07202 0 93 0.84452 1.07202 26.9% - 0s
0 0 1.07195 0 93 0.84452 1.07195 26.9% - 0s
0 0 1.07145 0 104 0.84452 1.07145 26.9% - 0s
0 0 1.07145 0 104 0.84452 1.07145 26.9% - 0s
0 0 1.07106 0 105 0.84452 1.07106 26.8% - 0s
0 0 1.07093 0 103 0.84452 1.07093 26.8% - 0s
0 0 1.07093 0 95 0.84452 1.07093 26.8% - 0s
0 2 1.07093 0 95 0.84452 1.07093 26.8% - 0s
1651 633 0.92385 40 67 0.84452 0.94260 11.6% 12.8 5s
4069 814 0.85974 38 70 0.84452 0.91060 7.82% 15.0 10s
8160 1319 cutoff 57 0.84452 0.87648 3.78% 14.9 15s
11962 2137 cutoff 60 0.84452 0.87187 3.24% 13.9 20s
15457 2385 cutoff 97 0.84452 0.86747 2.72% 13.9 25s
19471 2290 0.85385 65 36 0.84452 0.86187 2.05% 13.9 30s
23193 1763 0.85694 73 26 0.84452 0.85704 1.48% 13.9 35s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 32
Projected implied bound: 7
Clique: 2
MIR: 13
Flow cover: 53
Inf proof: 162
Zero half: 1
Mod-K: 1
Explored 26147 nodes (361647 simplex iterations) in 39.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.844525
Optimal solution found (tolerance 1.00e-02)
Best objective 8.445246245854e-01, best bound 8.527328197153e-01, gap 0.9719%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpov2xqixy.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpox2uxo3c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.828492
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.108419e+00, 799 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10842 0 85 0.82849 1.10842 33.8% - 0s
0 0 1.05676 0 94 0.82849 1.05676 27.6% - 0s
0 0 1.05675 0 94 0.82849 1.05675 27.6% - 0s
0 0 1.04962 0 99 0.82849 1.04962 26.7% - 0s
0 0 1.04962 0 99 0.82849 1.04962 26.7% - 0s
0 0 1.04872 0 105 0.82849 1.04872 26.6% - 0s
0 0 1.04869 0 105 0.82849 1.04869 26.6% - 0s
0 0 1.04832 0 107 0.82849 1.04832 26.5% - 0s
0 0 1.04819 0 105 0.82849 1.04819 26.5% - 0s
0 0 1.04816 0 103 0.82849 1.04816 26.5% - 0s
0 0 1.04816 0 103 0.82849 1.04816 26.5% - 0s
0 2 1.04816 0 101 0.82849 1.04816 26.5% - 0s
1495 553 0.93563 20 91 0.82849 0.93719 13.1% 13.7 5s
4201 873 0.84243 34 82 0.82849 0.88969 7.39% 15.1 10s
7138 1163 cutoff 59 0.82849 0.86430 4.32% 15.0 15s
11888 2027 cutoff 48 0.82849 0.85415 3.10% 13.3 20s
H13025 2110 0.8284917 0.85228 2.87% 13.4 21s
14881 1977 cutoff 70 0.82849 0.84894 2.47% 13.4 25s
18467 2233 0.84077 39 69 0.82849 0.84448 1.93% 13.2 30s
21872 2030 0.84007 82 49 0.82849 0.84083 1.49% 13.1 35s
25403 1576 cutoff 71 0.82849 0.83773 1.11% 13.1 40s
Cutting planes:
Gomory: 57
Cover: 1
Implied bound: 29
Projected implied bound: 6
MIR: 22
Flow cover: 55
Inf proof: 164
Explored 26951 nodes (355290 simplex iterations) in 41.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.828492 0.828492
Optimal solution found (tolerance 1.00e-02)
Best objective 8.284917256448e-01, best bound 8.364891060291e-01, gap 0.9653%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp83w4k9eb.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq9wtccv9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.812784
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.086902e+00, 819 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08690 0 83 0.81278 1.08690 33.7% - 0s
0 0 1.03513 0 96 0.81278 1.03513 27.4% - 0s
0 0 1.03513 0 97 0.81278 1.03513 27.4% - 0s
0 0 1.02802 0 104 0.81278 1.02802 26.5% - 0s
0 0 1.02802 0 104 0.81278 1.02802 26.5% - 0s
0 0 1.02721 0 108 0.81278 1.02721 26.4% - 0s
0 0 1.02718 0 108 0.81278 1.02718 26.4% - 0s
0 0 1.02680 0 110 0.81278 1.02680 26.3% - 0s
0 0 1.02680 0 110 0.81278 1.02680 26.3% - 0s
0 0 1.02643 0 108 0.81278 1.02643 26.3% - 0s
0 0 1.02642 0 108 0.81278 1.02642 26.3% - 0s
0 0 1.02630 0 109 0.81278 1.02630 26.3% - 0s
0 0 1.02623 0 114 0.81278 1.02623 26.3% - 0s
0 0 1.02621 0 114 0.81278 1.02621 26.3% - 0s
0 0 1.02621 0 108 0.81278 1.02621 26.3% - 0s
0 2 1.02621 0 108 0.81278 1.02621 26.3% - 0s
1656 426 0.84674 27 91 0.81278 0.90603 11.5% 15.3 5s
3870 690 cutoff 37 0.81278 0.86820 6.82% 15.3 10s
H 3872 690 0.8127835 0.86820 6.82% 15.3 10s
H 5705 1041 0.8127835 0.85540 5.24% 14.9 13s
6621 1284 0.85001 35 99 0.81278 0.85058 4.65% 14.5 15s
9110 1558 0.83507 59 50 0.81278 0.83865 3.18% 14.3 20s
13036 1703 0.82854 79 44 0.81278 0.82981 2.09% 13.9 25s
17506 2114 0.82099 87 30 0.81278 0.82503 1.51% 13.0 30s
21023 2007 cutoff 87 0.81278 0.82216 1.15% 12.5 35s
Cutting planes:
Gomory: 56
Cover: 1
Implied bound: 27
Projected implied bound: 25
Clique: 1
MIR: 15
Flow cover: 51
Inf proof: 120
Explored 22712 nodes (281927 simplex iterations) in 36.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.812784 0.812784 0.812784
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (6.4207e-06) exceeds tolerance
Warning: max bound violation (5.7840e-06) exceeds tolerance
Best objective 8.127835069949e-01, best bound 8.206985046806e-01, gap 0.9738%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp138p4667.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpscema77w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.814816
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.081789e+00, 858 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08179 0 86 0.81482 1.08179 32.8% - 0s
0 0 1.03161 0 100 0.81482 1.03161 26.6% - 0s
0 0 1.03161 0 101 0.81482 1.03161 26.6% - 0s
0 0 1.02405 0 104 0.81482 1.02405 25.7% - 0s
0 0 1.02405 0 104 0.81482 1.02405 25.7% - 0s
0 0 1.02302 0 108 0.81482 1.02302 25.6% - 0s
0 0 1.02299 0 108 0.81482 1.02299 25.5% - 0s
0 0 1.02263 0 110 0.81482 1.02263 25.5% - 0s
0 0 1.02251 0 107 0.81482 1.02251 25.5% - 0s
0 0 1.02249 0 105 0.81482 1.02249 25.5% - 0s
0 0 1.02249 0 103 0.81482 1.02249 25.5% - 0s
0 2 1.02249 0 101 0.81482 1.02249 25.5% - 0s
1288 576 0.88673 36 88 0.81482 0.92219 13.2% 15.0 5s
3844 1064 0.88714 37 87 0.81482 0.88714 8.88% 16.0 10s
H 3847 1064 0.8148160 0.88701 8.86% 16.0 10s
6673 1303 0.83833 65 56 0.81482 0.86293 5.90% 16.2 15s
9885 1637 0.82814 56 72 0.81482 0.84587 3.81% 15.9 20s
13496 2609 0.81959 75 53 0.81482 0.84028 3.12% 14.6 25s
17132 3436 infeasible 50 0.81482 0.83792 2.84% 14.0 30s
20415 3401 0.82789 87 63 0.81482 0.83488 2.46% 14.1 35s
20826 3436 0.81994 70 69 0.81482 0.83486 2.46% 14.1 45s
23622 3446 cutoff 65 0.81482 0.83155 2.05% 14.5 50s
27133 3570 0.81595 97 40 0.81482 0.82780 1.59% 14.7 55s
31022 3615 0.82127 96 36 0.81482 0.82524 1.28% 14.6 60s
34348 3286 cutoff 76 0.81482 0.82319 1.03% 14.6 65s
Cutting planes:
Gomory: 106
Implied bound: 31
Projected implied bound: 22
MIR: 17
Flow cover: 60
Inf proof: 161
Explored 35030 nodes (511031 simplex iterations) in 65.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.814816 0.814816
Optimal solution found (tolerance 1.00e-02)
Best objective 8.148159803290e-01, best bound 8.228243282395e-01, gap 0.9828%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdq_vte6z.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpse25h6_d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.809555
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.074160e+00, 880 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07416 0 87 0.80956 1.07416 32.7% - 0s
0 0 1.02817 0 104 0.80956 1.02817 27.0% - 0s
0 0 1.02812 0 104 0.80956 1.02812 27.0% - 0s
0 0 1.02159 0 104 0.80956 1.02159 26.2% - 0s
0 0 1.02159 0 104 0.80956 1.02159 26.2% - 0s
0 0 1.01998 0 114 0.80956 1.01998 26.0% - 0s
0 0 1.01992 0 113 0.80956 1.01992 26.0% - 0s
0 0 1.01947 0 117 0.80956 1.01947 25.9% - 0s
0 0 1.01947 0 117 0.80956 1.01947 25.9% - 0s
0 0 1.01935 0 114 0.80956 1.01935 25.9% - 0s
0 0 1.01930 0 115 0.80956 1.01930 25.9% - 0s
0 0 1.01930 0 108 0.80956 1.01930 25.9% - 0s
0 2 1.01930 0 108 0.80956 1.01930 25.9% - 0s
1171 683 0.89836 28 100 0.80956 0.92571 14.3% 15.3 5s
2728 757 infeasible 36 0.80956 0.89344 10.4% 19.5 10s
4230 891 0.84612 44 79 0.80956 0.87334 7.88% 21.8 15s
7035 1246 0.84052 47 68 0.80956 0.85136 5.16% 21.3 20s
10041 1699 cutoff 53 0.80956 0.83786 3.50% 20.0 25s
H12960 2401 0.8095554 0.83335 2.94% 18.3 29s
13604 2512 0.81275 68 49 0.80956 0.83285 2.88% 18.0 30s
17446 3635 cutoff 79 0.80956 0.82993 2.52% 16.5 35s
20763 4243 0.81423 82 35 0.80956 0.82818 2.30% 15.9 40s
21272 4341 infeasible 40 0.80956 0.82759 2.23% 15.9 51s
23888 4576 0.82112 78 49 0.80956 0.82611 2.05% 16.1 55s
26949 4827 cutoff 92 0.80956 0.82475 1.88% 16.3 60s
30530 5111 0.81744 83 47 0.80956 0.82335 1.70% 16.4 65s
33474 5112 0.81794 42 98 0.80956 0.82206 1.55% 16.6 70s
36467 5283 cutoff 82 0.80956 0.82113 1.43% 16.6 75s
39706 5264 0.82008 95 28 0.80956 0.82008 1.30% 16.6 80s
42877 5198 0.81221 88 32 0.80956 0.81928 1.20% 16.6 85s
45338 5007 infeasible 84 0.80956 0.81861 1.12% 16.6 90s
Cutting planes:
Gomory: 114
Cover: 1
Implied bound: 46
Projected implied bound: 14
MIR: 19
Flow cover: 105
Inf proof: 220
Explored 47804 nodes (800443 simplex iterations) in 93.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.809555 0.809555
Optimal solution found (tolerance 1.00e-02)
Best objective 8.095554180291e-01, best bound 8.176001354712e-01, gap 0.9937%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkfyzhwk3.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2ddtelep.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.804982
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.066481e+00, 993 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06648 0 91 0.80498 1.06648 32.5% - 0s
0 0 1.02063 0 106 0.80498 1.02063 26.8% - 0s
0 0 1.02063 0 106 0.80498 1.02063 26.8% - 0s
0 0 1.01517 0 109 0.80498 1.01517 26.1% - 0s
0 0 1.01517 0 109 0.80498 1.01517 26.1% - 0s
0 0 1.01415 0 113 0.80498 1.01415 26.0% - 0s
0 0 1.01406 0 113 0.80498 1.01406 26.0% - 0s
0 0 1.01349 0 116 0.80498 1.01349 25.9% - 0s
0 0 1.01330 0 114 0.80498 1.01330 25.9% - 0s
0 0 1.01328 0 112 0.80498 1.01328 25.9% - 0s
0 0 1.01322 0 119 0.80498 1.01322 25.9% - 0s
0 0 1.01322 0 119 0.80498 1.01322 25.9% - 0s
0 0 1.01322 0 108 0.80498 1.01322 25.9% - 0s
0 2 1.01322 0 108 0.80498 1.01322 25.9% - 0s
1135 551 0.89957 34 89 0.80498 0.93099 15.7% 18.0 5s
3254 904 cutoff 34 0.80498 0.89916 11.7% 20.2 10s
5230 1096 cutoff 30 0.80498 0.87827 9.10% 22.4 15s
7212 1186 0.84385 38 77 0.80498 0.86444 7.39% 23.0 20s
10023 1408 0.83202 41 71 0.80498 0.85005 5.60% 22.6 25s
13516 1995 cutoff 60 0.80498 0.83786 4.08% 21.2 30s
16312 2323 0.82029 64 74 0.80498 0.83021 3.13% 20.5 35s
19845 2735 cutoff 60 0.80498 0.82431 2.40% 19.6 40s
20804 2895 0.81766 78 61 0.80498 0.82357 2.31% 19.4 51s
23657 3092 cutoff 83 0.80498 0.82103 1.99% 19.3 55s
26615 3311 0.80557 57 74 0.80498 0.81882 1.72% 19.1 60s
30675 3772 cutoff 97 0.80498 0.81713 1.51% 18.6 65s
33857 3718 0.81471 105 25 0.80498 0.81571 1.33% 18.5 70s
37351 3427 cutoff 92 0.80498 0.81390 1.11% 18.3 75s
Cutting planes:
Gomory: 106
Implied bound: 39
Projected implied bound: 13
Clique: 2
MIR: 24
Flow cover: 87
Inf proof: 189
Explored 39010 nodes (714936 simplex iterations) in 77.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.804982
Optimal solution found (tolerance 1.00e-02)
Best objective 8.049815920037e-01, best bound 8.128609591839e-01, gap 0.9788%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzaq1u3xk.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4xzr5533.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.803312
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.064785e+00, 928 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06479 0 94 0.80331 1.06479 32.5% - 0s
0 0 1.01987 0 106 0.80331 1.01987 27.0% - 0s
0 0 1.01987 0 107 0.80331 1.01987 27.0% - 0s
0 0 1.01284 0 110 0.80331 1.01284 26.1% - 0s
0 0 1.01284 0 110 0.80331 1.01284 26.1% - 0s
0 0 1.01190 0 114 0.80331 1.01190 26.0% - 0s
0 0 1.01186 0 114 0.80331 1.01186 26.0% - 0s
0 0 1.01154 0 119 0.80331 1.01154 25.9% - 0s
0 0 1.01129 0 116 0.80331 1.01129 25.9% - 0s
0 0 1.01129 0 116 0.80331 1.01129 25.9% - 0s
0 0 1.01129 0 116 0.80331 1.01129 25.9% - 0s
0 0 1.01127 0 114 0.80331 1.01127 25.9% - 0s
0 0 1.01127 0 112 0.80331 1.01127 25.9% - 0s
0 2 1.01127 0 112 0.80331 1.01127 25.9% - 0s
1019 595 0.92489 21 90 0.80331 0.94451 17.6% 18.1 5s
3049 764 0.83438 34 99 0.80331 0.89981 12.0% 21.5 10s
5578 1464 0.86783 31 91 0.80331 0.87783 9.28% 19.8 15s
8651 1925 0.85759 44 73 0.80331 0.86381 7.53% 19.8 20s
11489 2216 0.84067 47 75 0.80331 0.85443 6.36% 19.6 25s
13993 2538 0.82182 32 97 0.80331 0.84737 5.48% 19.7 30s
16847 2696 0.82239 42 93 0.80331 0.83983 4.55% 19.9 35s
19527 3004 0.81838 46 76 0.80331 0.83454 3.89% 19.7 40s
20922 3323 0.81950 37 112 0.80331 0.83287 3.68% 19.5 52s
20933 3330 0.81302 67 176 0.80331 0.83287 3.68% 19.5 55s
20942 3336 0.80452 72 194 0.80331 0.83287 3.68% 19.5 60s
20950 3342 0.82355 38 204 0.80331 0.83287 3.68% 19.5 65s
20958 3347 0.82634 66 199 0.80331 0.83287 3.68% 19.5 70s
20965 3352 0.82607 39 198 0.80331 0.83287 3.68% 19.5 75s
20972 3356 0.81737 66 200 0.80331 0.83287 3.68% 19.4 80s
20980 3362 0.82278 57 217 0.80331 0.83287 3.68% 19.4 85s
20988 3367 0.83275 53 213 0.80331 0.83287 3.68% 19.4 90s
20995 3372 0.81495 41 212 0.80331 0.83287 3.68% 19.4 95s
21003 3377 0.80772 43 211 0.80331 0.83287 3.68% 19.4 100s
21013 3384 0.82519 53 210 0.80331 0.83287 3.68% 19.4 105s
21021 3389 0.80758 58 215 0.80331 0.83287 3.68% 19.4 110s
21024 3393 0.83287 24 203 0.80331 0.83287 3.68% 20.0 115s
21029 3392 0.83287 26 201 0.80331 0.83287 3.68% 20.0 120s
21073 3414 0.82641 35 164 0.80331 0.83287 3.68% 20.2 125s
21397 3458 0.83287 36 166 0.80331 0.83287 3.68% 20.9 130s
21922 3450 0.83287 45 156 0.80331 0.83287 3.68% 22.5 135s
H22090 3276 0.8033122 0.83287 3.68% 23.2 138s
22242 3268 infeasible 89 0.80331 0.83287 3.68% 23.6 140s
22680 3232 cutoff 42 0.80331 0.83287 3.68% 25.0 145s
23170 3200 cutoff 43 0.80331 0.83287 3.68% 26.6 150s
23688 3119 infeasible 40 0.80331 0.83287 3.68% 28.3 155s
24115 3068 0.81109 48 152 0.80331 0.83287 3.68% 29.4 161s
24640 3044 0.82872 46 155 0.80331 0.83287 3.68% 30.4 165s
25448 2992 0.81199 50 122 0.80331 0.83287 3.68% 32.0 171s
26009 3038 0.80352 45 133 0.80331 0.83287 3.68% 32.7 178s
26329 3053 cutoff 63 0.80331 0.83287 3.68% 33.0 180s
27042 3110 cutoff 51 0.80331 0.83287 3.68% 33.7 185s
27944 3049 cutoff 55 0.80331 0.83287 3.68% 35.0 191s
28461 2977 0.83287 44 150 0.80331 0.83287 3.68% 36.1 195s
29102 2928 cutoff 56 0.80331 0.83287 3.68% 37.3 201s
29763 2843 0.81316 58 116 0.80331 0.83287 3.68% 38.6 206s
30402 2786 0.80901 37 162 0.80331 0.83287 3.68% 39.6 211s
31235 2876 0.81635 55 102 0.80331 0.83184 3.55% 40.8 217s
31647 2981 0.83004 54 154 0.80331 0.83136 3.49% 41.4 222s
31711 2957 0.80717 55 113 0.80331 0.83130 3.48% 41.5 226s
32570 3095 0.81087 51 143 0.80331 0.82992 3.31% 42.8 232s
33048 3175 cutoff 54 0.80331 0.82943 3.25% 43.4 235s
33879 3267 cutoff 41 0.80331 0.82850 3.14% 44.5 242s
34327 3431 0.81897 55 125 0.80331 0.82818 3.10% 44.9 245s
35272 3618 0.82499 56 111 0.80331 0.82735 2.99% 45.8 252s
35468 3618 cutoff 55 0.80331 0.82724 2.98% 46.0 255s
36385 3761 0.82677 63 106 0.80331 0.82677 2.92% 46.9 261s
37222 3897 cutoff 59 0.80331 0.82595 2.82% 47.6 267s
37640 3950 0.82459 55 148 0.80331 0.82566 2.78% 48.0 271s
38539 4064 0.82353 57 144 0.80331 0.82521 2.73% 48.8 277s
38903 4063 cutoff 53 0.80331 0.82492 2.69% 49.2 280s
39716 4169 cutoff 50 0.80331 0.82433 2.62% 50.0 287s
40143 4223 cutoff 55 0.80331 0.82409 2.59% 50.4 290s
40816 4217 0.82169 67 117 0.80331 0.82358 2.52% 51.3 296s
41271 4303 0.80884 66 123 0.80331 0.82346 2.51% 51.6 300s
42117 4450 0.80512 56 110 0.80331 0.82287 2.43% 52.2 306s
43010 4526 0.81989 46 149 0.80331 0.82232 2.37% 52.9 312s
43431 4553 0.82058 73 100 0.80331 0.82221 2.35% 53.2 315s
44161 4563 0.80525 54 145 0.80331 0.82182 2.30% 53.9 321s
44914 4603 cutoff 58 0.80331 0.82156 2.27% 54.6 327s
45365 4625 cutoff 73 0.80331 0.82118 2.22% 54.8 330s
46292 4700 cutoff 63 0.80331 0.82079 2.18% 55.3 336s
47108 4686 cutoff 75 0.80331 0.82035 2.12% 55.9 342s
47582 4720 0.80638 56 106 0.80331 0.82006 2.09% 56.1 345s
48413 4736 cutoff 59 0.80331 0.81980 2.05% 56.5 351s
49380 4805 0.80749 67 108 0.80331 0.81942 2.00% 56.8 357s
49779 4810 0.81295 62 111 0.80331 0.81932 1.99% 57.0 360s
50694 4873 cutoff 46 0.80331 0.81896 1.95% 57.3 366s
51466 4860 0.81852 65 79 0.80331 0.81852 1.89% 57.7 372s
51969 4865 0.81073 66 103 0.80331 0.81837 1.87% 57.9 375s
52832 4878 cutoff 51 0.80331 0.81816 1.85% 58.2 380s
53686 4925 cutoff 63 0.80331 0.81773 1.79% 58.3 386s
54201 5039 cutoff 52 0.80331 0.81748 1.76% 58.4 391s
54337 4983 0.80624 49 140 0.80331 0.81743 1.76% 58.4 395s
55125 5007 0.81713 66 106 0.80331 0.81727 1.74% 58.7 400s
56007 5013 0.81520 50 134 0.80331 0.81714 1.72% 59.0 405s
56818 5026 0.81502 70 113 0.80331 0.81663 1.66% 59.2 411s
57599 4997 0.80922 50 135 0.80331 0.81630 1.62% 59.4 417s
58251 4947 0.81610 82 75 0.80331 0.81610 1.59% 59.6 422s
58787 4832 0.81582 83 77 0.80331 0.81582 1.56% 59.9 427s
59313 4751 0.81537 73 88 0.80331 0.81548 1.52% 60.1 431s
59900 4656 cutoff 76 0.80331 0.81525 1.49% 60.5 436s
60549 4566 0.81482 48 157 0.80331 0.81482 1.43% 60.8 442s
61171 4477 0.81328 60 153 0.80331 0.81454 1.40% 60.9 446s
61796 4384 0.81415 57 145 0.80331 0.81415 1.35% 61.0 450s
62656 4252 cutoff 77 0.80331 0.81353 1.27% 61.2 455s
63164 4156 cutoff 66 0.80331 0.81319 1.23% 61.3 460s
64089 3994 cutoff 48 0.80331 0.81280 1.18% 61.5 466s
64785 3812 0.81229 84 55 0.80331 0.81229 1.12% 61.6 471s
65476 3612 cutoff 60 0.80331 0.81171 1.04% 61.7 476s
Cutting planes:
Gomory: 204
Cover: 17
Implied bound: 69
Projected implied bound: 67
MIR: 162
StrongCG: 1
Flow cover: 544
Inf proof: 203
Zero half: 2
Network: 1
Explored 66207 nodes (4086996 simplex iterations) in 479.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.803312 0.803312
Optimal solution found (tolerance 1.00e-02)
Best objective 8.033121520824e-01, best bound 8.112401586959e-01, gap 0.9869%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpao33j5xp.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm2ai06z9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794575
Presolve removed 620 rows and 402 columns
Presolve time: 0.04s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.054888e+00, 966 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05489 0 95 0.79458 1.05489 32.8% - 0s
0 0 1.01392 0 109 0.79458 1.01392 27.6% - 0s
0 0 1.01391 0 109 0.79458 1.01391 27.6% - 0s
0 0 1.00744 0 113 0.79458 1.00744 26.8% - 0s
0 0 1.00744 0 113 0.79458 1.00744 26.8% - 0s
0 0 1.00642 0 118 0.79458 1.00642 26.7% - 0s
0 0 1.00638 0 118 0.79458 1.00638 26.7% - 0s
0 0 1.00601 0 120 0.79458 1.00601 26.6% - 0s
0 0 1.00590 0 118 0.79458 1.00590 26.6% - 0s
0 0 1.00589 0 116 0.79458 1.00589 26.6% - 0s
0 0 1.00589 0 108 0.79458 1.00589 26.6% - 0s
0 2 1.00589 0 108 0.79458 1.00589 26.6% - 0s
897 468 0.87008 37 90 0.79458 0.92526 16.4% 19.2 5s
2891 956 0.85185 39 95 0.79458 0.89334 12.4% 22.7 10s
3975 1229 0.83338 32 119 0.79458 0.88356 11.2% 26.8 15s
6087 1650 0.82602 31 116 0.79458 0.87334 9.91% 27.0 20s
H 7046 1726 0.7945754 0.86994 9.49% 27.1 23s
7688 1762 0.84094 32 116 0.79458 0.86692 9.11% 27.2 25s
9477 1986 infeasible 38 0.79458 0.85944 8.16% 27.3 30s
H 9846 2047 0.7945754 0.85838 8.03% 27.3 31s
11290 2119 0.79540 32 104 0.79458 0.85179 7.20% 27.5 35s
12785 2089 cutoff 34 0.79458 0.84433 6.26% 28.0 40s
14570 2038 0.79745 36 103 0.79458 0.83580 5.19% 28.0 45s
16947 2150 cutoff 34 0.79458 0.82581 3.93% 27.2 50s
20480 2875 0.81785 56 69 0.79458 0.82130 3.36% 25.1 55s
21006 2940 0.79851 79 53 0.79458 0.82021 3.23% 24.8 67s
22560 3109 cutoff 34 0.79458 0.81795 2.94% 24.5 70s
24290 3265 0.79733 88 61 0.79458 0.81565 2.65% 24.6 75s
26596 3633 cutoff 48 0.79458 0.81365 2.40% 24.4 80s
29049 3875 cutoff 60 0.79458 0.81176 2.16% 24.3 85s
32102 4476 0.80011 93 49 0.79458 0.81023 1.97% 23.6 90s
36644 5429 0.79572 97 48 0.79458 0.80894 1.81% 22.5 95s
40073 5852 0.79864 93 60 0.79458 0.80754 1.63% 21.9 100s
43088 5958 0.80036 114 33 0.79458 0.80665 1.52% 21.4 105s
45862 5826 0.80233 75 58 0.79458 0.80568 1.40% 21.2 110s
48623 5509 0.80177 41 81 0.79458 0.80471 1.28% 21.0 115s
51190 5085 cutoff 117 0.79458 0.80386 1.17% 20.8 120s
53358 4623 cutoff 120 0.79458 0.80297 1.06% 20.8 125s
Cutting planes:
Gomory: 123
Cover: 3
Implied bound: 50
Projected implied bound: 16
MIR: 34
StrongCG: 1
Flow cover: 93
Inf proof: 220
Explored 54486 nodes (1130627 simplex iterations) in 126.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.794575 0.794575 0.794575
Optimal solution found (tolerance 1.00e-02)
Best objective 7.945754190861e-01, best bound 8.024964252365e-01, gap 0.9969%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj696phfb.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpetn7czgw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.79163
Presolve removed 634 rows and 411 columns
Presolve time: 0.02s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.049444e+00, 994 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04944 0 100 0.79163 1.04944 32.6% - 0s
0 0 1.00917 0 112 0.79163 1.00917 27.5% - 0s
0 0 1.00917 0 113 0.79163 1.00917 27.5% - 0s
0 0 1.00287 0 116 0.79163 1.00287 26.7% - 0s
0 0 1.00286 0 116 0.79163 1.00286 26.7% - 0s
0 0 1.00196 0 123 0.79163 1.00196 26.6% - 0s
0 0 1.00187 0 123 0.79163 1.00187 26.6% - 0s
0 0 1.00149 0 123 0.79163 1.00149 26.5% - 0s
0 0 1.00105 0 123 0.79163 1.00105 26.5% - 0s
0 0 1.00101 0 121 0.79163 1.00101 26.4% - 0s
0 0 1.00101 0 121 0.79163 1.00101 26.4% - 0s
0 0 1.00101 0 117 0.79163 1.00101 26.4% - 0s
0 2 1.00101 0 117 0.79163 1.00101 26.4% - 0s
1053 612 0.82979 25 108 0.79163 0.92198 16.5% 16.7 5s
2849 837 cutoff 25 0.79163 0.88534 11.8% 19.9 10s
4587 1242 0.80031 31 88 0.79163 0.86999 9.90% 21.3 15s
5984 1505 0.83446 27 90 0.79163 0.86233 8.93% 21.8 20s
8212 1921 cutoff 34 0.79163 0.85289 7.74% 21.9 25s
10055 2056 infeasible 42 0.79163 0.84522 6.77% 22.1 30s
12526 2279 cutoff 76 0.79163 0.83799 5.86% 22.1 35s
14223 2419 0.80830 34 107 0.79163 0.83483 5.46% 22.4 40s
16189 2503 cutoff 32 0.79163 0.82834 4.64% 22.6 45s
19241 3391 0.79459 41 87 0.79163 0.82400 4.09% 21.8 50s
20741 3882 0.81774 56 117 0.79163 0.82272 3.93% 21.4 63s
20749 3887 0.81300 60 151 0.79163 0.82272 3.93% 21.3 65s
20756 3892 0.79638 57 189 0.79163 0.82272 3.93% 21.3 70s
20762 3896 0.80888 43 190 0.79163 0.82272 3.93% 21.3 75s
20774 3904 0.79586 56 200 0.79163 0.82272 3.93% 21.3 80s
20782 3909 0.79931 56 198 0.79163 0.82272 3.93% 21.3 85s
20789 3914 0.80672 76 201 0.79163 0.82272 3.93% 21.3 90s
20796 3919 0.80255 28 207 0.79163 0.82272 3.93% 21.3 95s
20803 3923 0.80964 56 215 0.79163 0.82272 3.93% 21.3 100s
20808 3927 0.81739 58 195 0.79163 0.82272 3.93% 21.3 105s
20814 3931 0.82268 31 187 0.79163 0.82272 3.93% 21.3 110s
20821 3935 0.80509 57 215 0.79163 0.82272 3.93% 21.3 115s
20826 3939 0.80375 67 200 0.79163 0.82272 3.93% 21.3 120s
20830 3941 0.80863 67 207 0.79163 0.82272 3.93% 21.3 125s
20836 3945 0.80535 53 198 0.79163 0.82272 3.93% 21.3 130s
20840 3948 0.80464 39 205 0.79163 0.82272 3.93% 21.3 135s
20846 3952 0.80711 69 201 0.79163 0.82272 3.93% 21.2 140s
20850 3955 0.79255 56 200 0.79163 0.82272 3.93% 21.2 145s
20856 3959 0.79638 57 201 0.79163 0.82272 3.93% 21.2 150s
20862 3963 0.80888 43 231 0.79163 0.82272 3.93% 21.2 156s
20866 3965 0.79797 60 198 0.79163 0.82272 3.93% 21.2 160s
20871 3969 0.79320 61 205 0.79163 0.82272 3.93% 21.2 165s
20876 3972 0.81069 67 209 0.79163 0.82272 3.93% 21.2 170s
20880 3975 0.81178 74 202 0.79163 0.82272 3.93% 21.2 175s
20886 3979 0.80172 67 208 0.79163 0.82272 3.93% 21.2 181s
20890 3981 0.82243 53 210 0.79163 0.82272 3.93% 21.2 185s
20896 3985 0.80255 28 208 0.79163 0.82272 3.93% 21.2 190s
20901 3989 0.81200 34 212 0.79163 0.82272 3.93% 21.2 195s
20907 3993 0.80592 75 211 0.79163 0.82272 3.93% 21.2 200s
20914 3997 0.82268 31 213 0.79163 0.82272 3.93% 21.2 205s
20921 4002 0.80509 57 210 0.79163 0.82272 3.93% 21.2 210s
20926 4005 0.80375 67 211 0.79163 0.82272 3.93% 21.2 215s
20933 4010 0.81038 56 211 0.79163 0.82272 3.93% 21.2 220s
20940 4015 0.80464 39 212 0.79163 0.82272 3.93% 21.2 225s
20945 4018 0.80569 74 213 0.79163 0.82272 3.93% 21.1 230s
20950 4021 0.79255 56 224 0.79163 0.82272 3.93% 21.1 235s
20955 4027 0.82272 22 171 0.79163 0.82272 3.93% 22.4 241s
H20956 3821 0.7916301 0.82272 3.93% 22.4 241s
20957 3821 0.82272 23 184 0.79163 0.82272 3.93% 22.4 245s
20963 3824 0.82272 25 176 0.79163 0.82272 3.93% 22.4 252s
H20965 3628 0.7916301 0.82272 3.93% 22.4 252s
20980 3637 0.82272 29 139 0.79163 0.82272 3.93% 22.5 255s
21184 3660 0.81246 48 137 0.79163 0.82272 3.93% 23.1 260s
21437 3696 0.81542 35 172 0.79163 0.82272 3.93% 23.9 265s
21885 3745 cutoff 67 0.79163 0.82272 3.93% 25.2 270s
22423 3763 cutoff 36 0.79163 0.82272 3.93% 26.9 275s
22856 3814 0.80407 31 194 0.79163 0.82272 3.93% 28.1 280s
23349 3884 0.81842 49 132 0.79163 0.82272 3.93% 29.5 285s
23866 3920 0.82272 43 161 0.79163 0.82272 3.93% 31.1 290s
24474 4020 0.79526 48 140 0.79163 0.82272 3.93% 32.4 296s
24736 4053 0.80486 39 166 0.79163 0.82272 3.93% 33.0 300s
25181 4062 0.81116 64 116 0.79163 0.82272 3.93% 34.3 305s
25727 4105 cutoff 51 0.79163 0.82272 3.93% 35.6 311s
26188 4199 0.80725 71 75 0.79163 0.82272 3.93% 36.3 317s
26613 4239 0.79388 46 142 0.79163 0.82272 3.93% 36.8 322s
27135 4278 cutoff 44 0.79163 0.82272 3.93% 37.9 327s
27615 4220 cutoff 32 0.79163 0.82272 3.93% 39.3 332s
27887 4208 0.79200 36 154 0.79163 0.82272 3.93% 40.0 335s
28412 4171 0.79569 54 152 0.79163 0.82212 3.85% 41.0 340s
29092 4125 0.79917 37 165 0.79163 0.82106 3.72% 42.4 346s
29310 4071 0.80318 40 168 0.79163 0.82054 3.65% 43.2 350s
30010 4059 0.81999 49 170 0.79163 0.81999 3.58% 44.6 356s
30223 3990 cutoff 55 0.79163 0.81960 3.53% 45.3 360s
31104 4005 0.80543 58 104 0.79163 0.81903 3.46% 46.6 367s
31676 4044 0.80284 49 146 0.79163 0.81898 3.45% 47.0 371s
32130 4185 cutoff 41 0.79163 0.81869 3.42% 47.6 375s
32566 4321 0.81094 57 139 0.79163 0.81855 3.40% 48.1 380s
33462 4624 0.81297 58 120 0.79163 0.81818 3.35% 49.2 387s
33882 4799 0.81048 40 150 0.79163 0.81793 3.32% 49.3 391s
H33883 4799 0.7916301 0.81793 3.32% 49.3 391s
34171 4918 0.79288 59 102 0.79163 0.81784 3.31% 49.6 396s
34242 4900 0.81352 48 150 0.79163 0.81781 3.31% 49.7 401s
34693 5024 cutoff 37 0.79163 0.81763 3.28% 50.3 405s
35692 5356 cutoff 44 0.79163 0.81743 3.26% 51.3 412s
36095 5426 0.80336 44 154 0.79163 0.81725 3.24% 51.9 416s
36576 5568 0.80388 44 157 0.79163 0.81718 3.23% 52.4 420s
37342 5769 0.81490 52 135 0.79163 0.81689 3.19% 53.3 428s
37844 5952 0.79325 57 144 0.79163 0.81685 3.19% 53.6 432s
38239 6053 0.81260 53 133 0.79163 0.81679 3.18% 53.9 436s
38701 6180 0.79497 44 161 0.79163 0.81656 3.15% 54.3 441s
39187 6332 0.80849 45 149 0.79163 0.81654 3.15% 54.7 445s
40158 6637 0.81183 57 103 0.79163 0.81625 3.11% 55.2 452s
40651 6792 0.80180 66 84 0.79163 0.81622 3.11% 55.6 456s
41200 6993 infeasible 71 0.79163 0.81609 3.09% 55.8 461s
41276 6998 cutoff 63 0.79163 0.81608 3.09% 55.8 465s
42218 7243 0.81544 57 123 0.79163 0.81583 3.06% 56.5 472s
42713 7372 0.80995 58 127 0.79163 0.81567 3.04% 56.8 476s
43224 7502 0.79419 57 142 0.79163 0.81556 3.02% 57.1 480s
44200 7759 cutoff 60 0.79163 0.81543 3.01% 57.6 486s
44667 7870 0.79363 59 92 0.79163 0.81526 2.99% 57.9 490s
45591 8078 0.79164 65 87 0.79163 0.81514 2.97% 58.5 497s
45960 8161 cutoff 70 0.79163 0.81499 2.95% 58.9 501s
46441 8234 infeasible 56 0.79163 0.81488 2.94% 59.2 505s
47321 8397 0.79235 47 150 0.79163 0.81478 2.92% 59.8 512s
47671 8449 cutoff 61 0.79163 0.81478 2.92% 60.1 516s
48112 8542 cutoff 49 0.79163 0.81449 2.89% 60.4 520s
49050 8760 0.79522 51 152 0.79163 0.81429 2.86% 60.9 527s
49492 8842 0.79862 61 116 0.79163 0.81418 2.85% 61.1 530s
49938 8920 cutoff 37 0.79163 0.81412 2.84% 61.4 535s
50776 9083 0.80586 57 128 0.79163 0.81392 2.82% 62.0 541s
51163 9143 cutoff 59 0.79163 0.81383 2.80% 62.3 545s
51900 9236 cutoff 44 0.79163 0.81366 2.78% 62.9 552s
52264 9244 cutoff 58 0.79163 0.81354 2.77% 63.3 556s
52643 9301 infeasible 47 0.79163 0.81345 2.76% 63.6 560s
53330 9351 cutoff 60 0.79163 0.81323 2.73% 64.2 567s
53714 9379 0.79433 47 164 0.79163 0.81313 2.72% 64.6 570s
54103 9407 0.79380 66 88 0.79163 0.81299 2.70% 64.8 575s
54889 9499 0.79439 38 177 0.79163 0.81280 2.67% 65.4 581s
55271 9529 cutoff 73 0.79163 0.81262 2.65% 65.7 586s
55652 9563 0.81256 38 195 0.79163 0.81256 2.64% 66.0 590s
56469 9681 0.80148 44 169 0.79163 0.81221 2.60% 66.4 597s
56897 9735 cutoff 58 0.79163 0.81213 2.59% 66.7 600s
Cutting planes:
Gomory: 165
Cover: 11
Implied bound: 68
Projected implied bound: 50
MIR: 168
StrongCG: 5
Flow cover: 582
Inf proof: 139
Zero half: 3
Explored 57247 nodes (3830391 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.79163 0.79163 0.79163 0.79163
Time limit reached
Best objective 7.916301091441e-01, best bound 8.120085052292e-01, gap 2.5742%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcr4mylit.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoymyr27n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.788961
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.043332e+00, 1029 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04333 0 101 0.78896 1.04333 32.2% - 0s
0 0 1.00280 0 117 0.78896 1.00280 27.1% - 0s
0 0 1.00280 0 118 0.78896 1.00280 27.1% - 0s
0 0 0.99665 0 118 0.78896 0.99665 26.3% - 0s
0 0 0.99661 0 114 0.78896 0.99661 26.3% - 0s
0 0 0.99519 0 118 0.78896 0.99519 26.1% - 0s
0 0 0.99506 0 118 0.78896 0.99506 26.1% - 0s
0 0 0.99464 0 121 0.78896 0.99464 26.1% - 0s
0 0 0.99464 0 123 0.78896 0.99464 26.1% - 0s
0 0 0.99451 0 125 0.78896 0.99451 26.1% - 0s
0 0 0.99451 0 126 0.78896 0.99451 26.1% - 0s
0 0 0.99447 0 116 0.78896 0.99447 26.0% - 0s
0 0 0.99447 0 114 0.78896 0.99447 26.0% - 0s
0 2 0.99447 0 112 0.78896 0.99447 26.0% - 0s
783 528 0.87292 20 123 0.78896 0.92666 17.5% 18.4 5s
2439 700 0.82010 32 112 0.78896 0.88392 12.0% 22.7 10s
3709 916 0.83005 27 116 0.78896 0.86488 9.62% 24.3 15s
5846 1142 0.79077 39 100 0.78896 0.84660 7.31% 25.1 20s
8342 1564 cutoff 38 0.78896 0.83399 5.71% 24.0 25s
10226 1665 infeasible 42 0.78896 0.82455 4.51% 23.4 30s
13257 2457 0.80971 80 59 0.78896 0.81730 3.59% 21.5 35s
16032 2742 0.79497 82 65 0.78896 0.81299 3.05% 20.5 40s
18925 3079 0.79415 89 63 0.78896 0.81001 2.67% 19.8 45s
20657 3139 cutoff 70 0.78896 0.80809 2.42% 19.5 58s
21754 3166 infeasible 86 0.78896 0.80691 2.27% 19.5 60s
23326 3172 cutoff 85 0.78896 0.80545 2.09% 19.7 65s
25802 3435 0.80112 90 60 0.78896 0.80363 1.86% 19.7 70s
28804 3793 cutoff 100 0.78896 0.80195 1.65% 19.4 75s
31823 3819 cutoff 35 0.78896 0.80071 1.49% 19.2 80s
34664 3606 0.79788 91 63 0.78896 0.79935 1.32% 19.1 85s
37131 3315 cutoff 104 0.78896 0.79806 1.15% 19.1 90s
Cutting planes:
Gomory: 115
Cover: 3
Implied bound: 37
Projected implied bound: 22
MIR: 28
StrongCG: 1
Flow cover: 120
Inf proof: 209
Explored 39885 nodes (760594 simplex iterations) in 94.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.788961
Optimal solution found (tolerance 1.00e-02)
Best objective 7.889605685583e-01, best bound 7.966686121779e-01, gap 0.9770%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy5241c73.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx5cvzy1h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.772613
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.020339e+00, 1028 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02034 0 101 0.77261 1.02034 32.1% - 0s
0 0 0.98209 0 119 0.77261 0.98209 27.1% - 0s
0 0 0.98209 0 120 0.77261 0.98209 27.1% - 0s
0 0 0.97674 0 121 0.77261 0.97674 26.4% - 0s
0 0 0.97671 0 121 0.77261 0.97671 26.4% - 0s
0 0 0.97579 0 125 0.77261 0.97579 26.3% - 0s
0 0 0.97565 0 125 0.77261 0.97565 26.3% - 0s
0 0 0.97517 0 125 0.77261 0.97517 26.2% - 0s
0 0 0.97500 0 123 0.77261 0.97500 26.2% - 0s
0 0 0.97499 0 121 0.77261 0.97499 26.2% - 0s
0 0 0.97499 0 117 0.77261 0.97499 26.2% - 0s
0 2 0.97499 0 115 0.77261 0.97499 26.2% - 0s
915 590 0.81037 41 113 0.77261 0.89537 15.9% 20.4 5s
2658 782 0.80883 35 128 0.77261 0.87448 13.2% 22.4 10s
4075 1195 0.80759 33 123 0.77261 0.86048 11.4% 22.2 15s
6169 1713 0.79356 39 103 0.77261 0.84634 9.54% 22.7 20s
8375 2032 infeasible 36 0.77261 0.83453 8.01% 23.0 25s
10227 2251 cutoff 54 0.77261 0.82765 7.12% 23.2 30s
11988 2480 0.78781 37 123 0.77261 0.82410 6.66% 23.0 35s
H12780 2570 0.7726128 0.82061 6.21% 23.1 38s
13166 2563 0.78941 40 104 0.77261 0.81988 6.12% 23.1 40s
14503 2688 cutoff 38 0.77261 0.81717 5.77% 23.1 45s
16475 2881 0.77984 43 89 0.77261 0.81262 5.18% 23.2 50s
18595 3060 0.79155 32 148 0.77261 0.80882 4.69% 23.1 55s
20529 3352 0.79161 53 117 0.77261 0.80535 4.24% 22.8 70s
H20530 3185 0.7726128 0.80535 4.24% 22.8 70s
20542 3193 0.80078 36 180 0.77261 0.80535 4.24% 22.8 75s
20549 3197 0.79110 46 187 0.77261 0.80535 4.24% 22.8 80s
20556 3202 0.80028 40 197 0.77261 0.80535 4.24% 22.8 85s
20561 3205 0.78643 56 178 0.77261 0.80535 4.24% 22.8 90s
20567 3209 0.77938 41 192 0.77261 0.80535 4.24% 22.8 95s
20577 3216 0.80282 67 189 0.77261 0.80535 4.24% 22.8 100s
20583 3220 0.78147 117 192 0.77261 0.80535 4.24% 22.8 105s
20589 3224 0.79735 38 172 0.77261 0.80535 4.24% 22.8 110s
20593 3227 0.79475 38 205 0.77261 0.80535 4.24% 22.8 115s
20598 3230 0.79618 68 197 0.77261 0.80535 4.24% 22.8 121s
20602 3233 0.79651 50 195 0.77261 0.80535 4.24% 22.8 125s
20606 3235 0.79023 47 193 0.77261 0.80535 4.24% 22.8 131s
20611 3239 0.80301 36 197 0.77261 0.80535 4.24% 22.7 135s
20617 3243 0.78303 43 198 0.77261 0.80535 4.24% 22.7 140s
20623 3247 0.78188 60 196 0.77261 0.80535 4.24% 22.7 145s
20629 3251 0.79161 53 191 0.77261 0.80535 4.24% 22.7 150s
20636 3255 0.80489 35 201 0.77261 0.80535 4.24% 22.7 155s
20641 3259 0.77849 48 206 0.77261 0.80535 4.24% 22.7 160s
20647 3263 0.79489 47 190 0.77261 0.80535 4.24% 22.7 165s
20651 3265 0.78880 43 196 0.77261 0.80535 4.24% 22.7 170s
20655 3268 0.80270 24 196 0.77261 0.80535 4.24% 22.7 175s
20660 3271 0.79110 46 199 0.77261 0.80535 4.24% 22.7 181s
20664 3274 0.78762 37 199 0.77261 0.80535 4.24% 22.7 186s
20668 3277 0.77784 84 215 0.77261 0.80535 4.24% 22.7 190s
20675 3281 0.79318 38 222 0.77261 0.80535 4.24% 22.7 195s
20682 3286 0.80205 36 220 0.77261 0.80535 4.24% 22.7 200s
20685 3290 0.80535 31 184 0.77261 0.80535 4.24% 23.7 205s
20691 3287 0.80535 34 192 0.77261 0.80535 4.24% 23.8 211s
20695 3286 0.80535 36 195 0.77261 0.80535 4.24% 23.8 215s
20747 3299 0.78171 45 154 0.77261 0.80535 4.24% 23.9 220s
21379 3421 0.78706 50 166 0.77261 0.80535 4.24% 24.3 225s
21893 3460 0.80503 58 168 0.77261 0.80535 4.24% 25.4 230s
22334 3418 0.79509 49 174 0.77261 0.80535 4.24% 26.5 235s
23140 3416 0.77640 52 165 0.77261 0.80235 3.85% 27.7 240s
23934 3518 0.77826 55 168 0.77261 0.79965 3.50% 28.5 245s
24647 3595 0.77532 48 194 0.77261 0.79863 3.37% 29.2 250s
25265 3618 0.77421 52 174 0.77261 0.79773 3.25% 29.8 255s
26026 3704 cutoff 55 0.77261 0.79694 3.15% 30.4 260s
26663 3802 0.78235 87 117 0.77261 0.79636 3.07% 30.7 265s
27675 3868 0.77808 111 76 0.77261 0.79574 2.99% 31.4 271s
28543 3997 0.78949 84 93 0.77261 0.79538 2.95% 31.6 275s
29557 3976 infeasible 101 0.77261 0.79483 2.88% 32.4 281s
30333 3939 cutoff 94 0.77261 0.79449 2.83% 33.0 285s
31167 4089 0.78933 65 128 0.77261 0.79418 2.79% 33.6 290s
32043 4330 cutoff 88 0.77261 0.79372 2.73% 34.2 295s
33469 4678 0.78347 96 102 0.77261 0.79321 2.67% 35.0 302s
33893 4755 0.79058 85 92 0.77261 0.79298 2.64% 35.4 306s
34702 4977 0.78323 88 120 0.77261 0.79274 2.61% 35.9 311s
35472 5129 cutoff 84 0.77261 0.79247 2.57% 36.5 316s
36273 5267 0.79129 55 167 0.77261 0.79215 2.53% 37.0 321s
37008 5365 0.78317 51 156 0.77261 0.79178 2.48% 37.6 326s
37869 5637 0.77611 90 111 0.77261 0.79155 2.45% 37.7 331s
38630 5730 cutoff 83 0.77261 0.79125 2.41% 38.3 336s
39643 6012 infeasible 96 0.77261 0.79096 2.37% 38.5 341s
40640 6316 0.78847 41 197 0.77261 0.79074 2.35% 38.7 345s
41421 6418 0.77263 46 170 0.77261 0.79050 2.31% 39.2 351s
42392 6678 0.77292 106 84 0.77261 0.79011 2.27% 39.4 356s
43374 7003 infeasible 78 0.77261 0.78992 2.24% 39.5 360s
44078 7163 0.78963 90 92 0.77261 0.78977 2.22% 39.9 365s
45124 7296 0.78109 67 133 0.77261 0.78962 2.20% 40.5 371s
45990 7513 0.78787 91 83 0.77261 0.78918 2.14% 40.8 376s
46865 7741 0.77345 96 94 0.77261 0.78891 2.11% 41.1 380s
47687 7932 cutoff 93 0.77261 0.78868 2.08% 41.4 387s
47975 8020 cutoff 64 0.77261 0.78863 2.07% 41.3 390s
48660 8120 cutoff 54 0.77261 0.78837 2.04% 41.7 395s
49499 8243 0.77575 122 64 0.77261 0.78809 2.00% 42.1 400s
50567 8535 0.78793 100 80 0.77261 0.78793 1.98% 42.2 405s
51415 8673 infeasible 98 0.77261 0.78768 1.95% 42.4 410s
52476 8890 0.77945 106 58 0.77261 0.78747 1.92% 42.5 415s
53527 9171 cutoff 79 0.77261 0.78740 1.91% 42.6 420s
55214 9703 0.78383 79 100 0.77261 0.78715 1.88% 42.6 426s
56272 10009 cutoff 98 0.77261 0.78699 1.86% 42.6 431s
57196 10223 cutoff 94 0.77261 0.78684 1.84% 42.8 435s
58430 10625 0.78269 75 110 0.77261 0.78666 1.82% 42.7 440s
59412 10884 cutoff 124 0.77261 0.78657 1.81% 42.7 445s
61089 11335 infeasible 125 0.77261 0.78639 1.78% 42.7 451s
61966 11542 cutoff 60 0.77261 0.78631 1.77% 42.7 456s
62891 11700 0.78251 80 117 0.77261 0.78620 1.76% 42.8 460s
63765 11836 0.78412 102 85 0.77261 0.78611 1.75% 42.9 465s
65073 12017 0.78472 71 126 0.77261 0.78594 1.73% 42.9 471s
66099 12236 0.78546 104 94 0.77261 0.78582 1.71% 43.0 476s
66808 12288 0.77640 105 60 0.77261 0.78573 1.70% 43.1 480s
68006 12393 0.77484 55 184 0.77261 0.78552 1.67% 43.3 490s
68610 12441 cutoff 86 0.77261 0.78547 1.66% 43.4 495s
69996 12569 0.77687 102 102 0.77261 0.78527 1.64% 43.5 501s
70912 12635 0.77336 110 65 0.77261 0.78519 1.63% 43.6 505s
71909 12720 0.77876 78 105 0.77261 0.78505 1.61% 43.6 510s
73149 12759 cutoff 64 0.77261 0.78491 1.59% 43.8 516s
74076 12837 infeasible 100 0.77261 0.78479 1.58% 43.8 520s
74787 12867 0.77823 111 55 0.77261 0.78468 1.56% 44.0 525s
76068 12945 0.77793 72 144 0.77261 0.78445 1.53% 44.1 531s
76959 12955 0.78115 77 115 0.77261 0.78433 1.52% 44.2 536s
78076 13027 cutoff 94 0.77261 0.78422 1.50% 44.2 541s
79142 13164 cutoff 97 0.77261 0.78413 1.49% 44.1 546s
80061 13248 0.77593 102 92 0.77261 0.78400 1.47% 44.1 550s
81434 13357 cutoff 118 0.77261 0.78384 1.45% 44.2 556s
82302 13356 cutoff 80 0.77261 0.78374 1.44% 44.2 561s
83406 13481 cutoff 93 0.77261 0.78365 1.43% 44.2 565s
84300 13469 cutoff 106 0.77261 0.78355 1.42% 44.2 570s
85672 13531 cutoff 118 0.77261 0.78340 1.40% 44.2 576s
86353 13535 0.78330 102 72 0.77261 0.78331 1.39% 44.3 580s
87262 13528 infeasible 96 0.77261 0.78324 1.38% 44.4 585s
88640 13617 cutoff 73 0.77261 0.78311 1.36% 44.4 591s
89561 13619 0.77574 85 137 0.77261 0.78301 1.35% 44.5 595s
90670 13750 0.77858 106 74 0.77261 0.78292 1.33% 44.4 600s
Cutting planes:
Gomory: 203
Cover: 5
Implied bound: 72
Projected implied bound: 55
Clique: 1
MIR: 184
StrongCG: 3
Flow cover: 609
Inf proof: 212
Zero half: 1
Explored 90905 nodes (4036876 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.772613 0.772613 0.772613
Time limit reached
Best objective 7.726128313570e-01, best bound 7.829173174905e-01, gap 1.3337%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpso9g_nzu.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv7xfq0b1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.76198
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 9.984722e-01, 1061 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99847 0 104 0.76198 0.99847 31.0% - 0s
0 0 0.96288 0 117 0.76198 0.96288 26.4% - 0s
0 0 0.96288 0 117 0.76198 0.96288 26.4% - 0s
0 0 0.95838 0 125 0.76198 0.95838 25.8% - 0s
0 0 0.95838 0 123 0.76198 0.95838 25.8% - 0s
0 0 0.95720 0 130 0.76198 0.95720 25.6% - 0s
0 0 0.95709 0 130 0.76198 0.95709 25.6% - 0s
0 0 0.95680 0 129 0.76198 0.95680 25.6% - 0s
0 0 0.95670 0 127 0.76198 0.95670 25.6% - 0s
0 0 0.95668 0 125 0.76198 0.95668 25.6% - 0s
0 0 0.95668 0 122 0.76198 0.95668 25.6% - 0s
0 2 0.95668 0 120 0.76198 0.95668 25.6% - 0s
959 525 0.77176 44 115 0.76198 0.87863 15.3% 18.3 5s
2912 792 0.79834 37 114 0.76198 0.83150 9.12% 18.0 10s
5323 1539 0.79922 40 126 0.76198 0.82085 7.73% 17.0 15s
7488 1783 0.78525 41 117 0.76198 0.81206 6.57% 17.7 20s
9048 2017 0.78120 41 131 0.76198 0.80770 6.00% 18.1 25s
11276 2491 0.77903 51 109 0.76198 0.80090 5.11% 17.7 30s
13805 3122 0.77080 59 81 0.76198 0.79625 4.50% 17.4 35s
17477 4054 0.78109 62 86 0.76198 0.79017 3.70% 16.5 40s
21149 5030 infeasible 92 0.76198 0.78753 3.35% 15.9 56s
23039 5316 0.77438 63 87 0.76198 0.78605 3.16% 16.4 60s
24948 5397 cutoff 100 0.76198 0.78468 2.98% 17.1 65s
27202 5519 0.76714 65 83 0.76198 0.78313 2.78% 17.8 70s
28993 5582 0.78190 74 88 0.76198 0.78198 2.62% 18.4 75s
31004 5675 0.77063 57 96 0.76198 0.78091 2.48% 18.7 80s
33101 5795 0.77514 80 88 0.76198 0.77985 2.34% 19.0 85s
35098 5774 cutoff 51 0.76198 0.77870 2.19% 19.4 90s
37441 5916 infeasible 82 0.76198 0.77780 2.08% 19.5 95s
39658 5975 cutoff 45 0.76198 0.77658 1.92% 19.7 100s
41933 6044 cutoff 70 0.76198 0.77547 1.77% 19.7 105s
44145 6200 0.76539 112 66 0.76198 0.77487 1.69% 19.7 110s
47070 6303 cutoff 91 0.76198 0.77389 1.56% 19.6 115s
49123 6334 cutoff 114 0.76198 0.77329 1.48% 19.6 120s
51466 6286 0.77270 95 55 0.76198 0.77270 1.41% 19.6 125s
53718 6165 0.76739 93 78 0.76198 0.77212 1.33% 19.6 130s
55423 6089 0.77156 74 93 0.76198 0.77162 1.27% 19.5 135s
57968 5847 cutoff 92 0.76198 0.77095 1.18% 19.5 140s
60301 5556 cutoff 104 0.76198 0.77028 1.09% 19.5 145s
62676 5221 cutoff 99 0.76198 0.76962 1.00% 19.5 150s
Cutting planes:
Gomory: 118
Cover: 3
Implied bound: 40
Projected implied bound: 11
MIR: 26
StrongCG: 1
Flow cover: 85
Inf proof: 269
Explored 63010 nodes (1228453 simplex iterations) in 150.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.76198
Optimal solution found (tolerance 1.00e-02)
Best objective 7.619803816037e-01, best bound 7.695145830104e-01, gap 0.9888%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa665nng0.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmploxss2v5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.753666
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.873483e-01, 1106 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98735 0 110 0.75367 0.98735 31.0% - 0s
0 0 0.95364 0 123 0.75367 0.95364 26.5% - 0s
0 0 0.95364 0 123 0.75367 0.95364 26.5% - 0s
0 0 0.94942 0 126 0.75367 0.94942 26.0% - 0s
0 0 0.94935 0 123 0.75367 0.94935 26.0% - 0s
0 0 0.94801 0 133 0.75367 0.94801 25.8% - 0s
0 0 0.94788 0 132 0.75367 0.94788 25.8% - 0s
0 0 0.94770 0 135 0.75367 0.94770 25.7% - 0s
0 0 0.94754 0 132 0.75367 0.94754 25.7% - 0s
0 0 0.94754 0 132 0.75367 0.94754 25.7% - 0s
0 0 0.94754 0 132 0.75367 0.94754 25.7% - 0s
0 0 0.94736 0 131 0.75367 0.94736 25.7% - 0s
0 0 0.94736 0 131 0.75367 0.94736 25.7% - 0s
0 0 0.94736 0 131 0.75367 0.94736 25.7% - 0s
0 0 0.94736 0 129 0.75367 0.94736 25.7% - 0s
0 2 0.94736 0 129 0.75367 0.94736 25.7% - 0s
763 498 0.87769 14 134 0.75367 0.87769 16.5% 19.0 5s
1987 583 0.78564 50 107 0.75367 0.85478 13.4% 25.2 10s
3472 823 cutoff 34 0.75367 0.83211 10.4% 26.7 15s
4986 1213 0.77825 76 72 0.75367 0.82516 9.49% 26.0 20s
6879 1531 cutoff 42 0.75367 0.81617 8.29% 26.3 25s
8958 1711 cutoff 39 0.75367 0.80373 6.64% 26.4 30s
10959 1924 cutoff 41 0.75367 0.79797 5.88% 25.8 35s
H13132 2294 0.7536658 0.79280 5.19% 25.2 40s
H13186 2319 0.7536658 0.79242 5.14% 25.2 40s
14768 2532 0.77032 40 129 0.75367 0.78910 4.70% 24.6 45s
17557 3135 0.76531 39 118 0.75367 0.78515 4.18% 23.4 50s
20595 3882 cutoff 78 0.75367 0.78227 3.80% 22.2 55s
21299 4052 0.77512 72 74 0.75367 0.78167 3.72% 22.0 68s
22327 4323 0.77966 68 82 0.75367 0.78080 3.60% 21.8 70s
24467 4708 0.76943 50 114 0.75367 0.77921 3.39% 21.6 75s
26580 5000 cutoff 53 0.75367 0.77794 3.22% 21.8 80s
28784 5248 cutoff 44 0.75367 0.77662 3.05% 22.0 85s
31400 5519 0.77285 72 88 0.75367 0.77514 2.85% 22.1 90s
33352 5740 0.76555 81 103 0.75367 0.77418 2.72% 22.2 95s
35652 6100 cutoff 83 0.75367 0.77323 2.60% 22.1 100s
38128 6259 0.75421 35 127 0.75367 0.77208 2.44% 22.3 105s
40495 6505 0.76580 89 67 0.75367 0.77105 2.31% 22.4 110s
42593 6688 cutoff 55 0.75367 0.77028 2.20% 22.4 115s
45394 7159 cutoff 75 0.75367 0.76957 2.11% 22.2 120s
48569 7897 0.76902 94 55 0.75367 0.76902 2.04% 21.9 125s
51115 8208 0.76587 95 56 0.75367 0.76845 1.96% 21.8 130s
53362 8559 cutoff 73 0.75367 0.76779 1.87% 21.7 135s
56107 8996 0.75418 93 65 0.75367 0.76744 1.83% 21.6 140s
58955 9036 0.76229 71 100 0.75367 0.76685 1.75% 21.6 145s
61440 9076 0.75935 65 95 0.75367 0.76637 1.69% 21.6 150s
63366 9101 0.76600 91 68 0.75367 0.76600 1.64% 21.5 155s
66014 9091 0.76564 86 74 0.75367 0.76564 1.59% 21.5 160s
68518 9060 0.75676 96 60 0.75367 0.76514 1.52% 21.5 165s
71053 9009 0.75925 109 68 0.75367 0.76467 1.46% 21.5 170s
73761 9060 cutoff 92 0.75367 0.76429 1.41% 21.4 175s
76332 9026 0.76373 101 59 0.75367 0.76393 1.36% 21.4 180s
79008 9070 0.75576 98 57 0.75367 0.76359 1.32% 21.4 185s
81087 8879 cutoff 69 0.75367 0.76323 1.27% 21.4 190s
83225 8739 cutoff 76 0.75367 0.76290 1.23% 21.4 195s
86042 8627 0.75908 108 43 0.75367 0.76251 1.17% 21.3 200s
88210 8543 cutoff 101 0.75367 0.76229 1.14% 21.3 205s
91010 8310 cutoff 97 0.75367 0.76185 1.09% 21.2 210s
93370 8128 cutoff 46 0.75367 0.76150 1.04% 21.2 216s
95048 7921 infeasible 106 0.75367 0.76123 1.00% 21.2 220s
Cutting planes:
Learned: 1
Gomory: 134
Cover: 4
Implied bound: 51
Projected implied bound: 18
MIR: 31
Flow cover: 101
Inf proof: 372
Network: 1
Explored 95359 nodes (2024896 simplex iterations) in 220.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.753666 0.753666 0.753666
Optimal solution found (tolerance 1.00e-02)
Best objective 7.536658189743e-01, best bound 7.611636703696e-01, gap 0.9949%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv596ra0x.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3f6zdln0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.746255
Presolve removed 704 rows and 456 columns
Presolve time: 0.04s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 9.746159e-01, 1086 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97462 0 110 0.74625 0.97462 30.6% - 0s
0 0 0.94077 0 116 0.74625 0.94077 26.1% - 0s
0 0 0.94076 0 117 0.74625 0.94076 26.1% - 0s
0 0 0.93651 0 126 0.74625 0.93651 25.5% - 0s
0 0 0.93648 0 123 0.74625 0.93648 25.5% - 0s
0 0 0.93533 0 130 0.74625 0.93533 25.3% - 0s
0 0 0.93512 0 131 0.74625 0.93512 25.3% - 0s
0 0 0.93442 0 139 0.74625 0.93442 25.2% - 0s
0 0 0.93442 0 138 0.74625 0.93442 25.2% - 0s
0 0 0.93420 0 136 0.74625 0.93420 25.2% - 0s
0 0 0.93419 0 134 0.74625 0.93419 25.2% - 0s
0 0 0.93419 0 137 0.74625 0.93419 25.2% - 0s
0 0 0.93402 0 136 0.74625 0.93402 25.2% - 0s
0 0 0.93402 0 127 0.74625 0.93402 25.2% - 0s
0 2 0.93402 0 126 0.74625 0.93402 25.2% - 0s
807 586 0.87258 19 146 0.74625 0.87258 16.9% 19.0 5s
1985 692 cutoff 28 0.74625 0.86354 15.7% 25.8 10s
3246 801 infeasible 35 0.74625 0.83789 12.3% 28.5 15s
4520 1107 0.79184 34 116 0.74625 0.82808 11.0% 27.3 20s
6578 1610 cutoff 36 0.74625 0.81345 9.00% 25.5 25s
8425 1933 0.77254 41 116 0.74625 0.80406 7.75% 25.0 30s
10306 2248 0.77421 39 113 0.74625 0.79625 6.70% 24.1 35s
12688 2680 cutoff 64 0.74625 0.78964 5.81% 23.3 40s
14245 3030 0.77489 42 118 0.74625 0.78685 5.44% 22.7 45s
16949 3589 cutoff 37 0.74625 0.78213 4.81% 21.7 50s
19620 4154 0.76756 49 110 0.74625 0.77964 4.47% 20.7 55s
20808 4518 0.74954 94 127 0.74625 0.77867 4.34% 20.4 69s
20811 4520 0.75434 37 145 0.74625 0.77867 4.34% 20.4 70s
20821 4527 0.75136 128 202 0.74625 0.77867 4.34% 20.4 75s
20827 4531 0.76254 44 210 0.74625 0.77867 4.34% 20.4 80s
20835 4536 0.77269 47 241 0.74625 0.77867 4.34% 20.4 85s
20842 4541 0.75807 62 226 0.74625 0.77867 4.34% 20.4 90s
20846 4543 0.77311 35 219 0.74625 0.77867 4.34% 20.4 95s
20852 4547 0.76990 49 214 0.74625 0.77867 4.34% 20.4 100s
20857 4551 0.77628 78 226 0.74625 0.77867 4.34% 20.4 105s
20862 4554 0.76890 33 238 0.74625 0.77867 4.34% 20.4 110s
20867 4557 0.74845 61 227 0.74625 0.77867 4.34% 20.4 115s
20871 4560 0.75463 53 232 0.74625 0.77867 4.34% 20.3 120s
20875 4563 0.75615 59 238 0.74625 0.77867 4.34% 20.3 125s
20879 4565 0.75867 47 237 0.74625 0.77867 4.34% 20.3 130s
20884 4569 0.74759 153 234 0.74625 0.77867 4.34% 20.3 135s
20890 4573 0.77491 48 234 0.74625 0.77867 4.34% 20.3 140s
20895 4576 0.75591 57 252 0.74625 0.77867 4.34% 20.3 145s
20900 4579 0.76610 46 235 0.74625 0.77867 4.34% 20.3 150s
20905 4583 0.75236 72 253 0.74625 0.77867 4.34% 20.3 155s
20910 4586 0.75828 70 248 0.74625 0.77867 4.34% 20.3 160s
20916 4590 0.77361 47 243 0.74625 0.77867 4.34% 20.3 166s
20920 4593 0.75741 46 254 0.74625 0.77867 4.34% 20.3 170s
20925 4596 0.77575 78 255 0.74625 0.77867 4.34% 20.3 175s
20930 4599 0.75143 70 255 0.74625 0.77867 4.34% 20.3 180s
20937 4604 0.75143 127 263 0.74625 0.77867 4.34% 20.3 185s
20941 4607 0.75322 63 263 0.74625 0.77867 4.34% 20.3 190s
20944 4611 0.77867 27 229 0.74625 0.77867 4.34% 21.5 197s
20946 4609 0.77867 28 220 0.74625 0.77867 4.34% 21.6 203s
20949 4609 0.77867 29 232 0.74625 0.77867 4.34% 21.6 206s
20954 4612 0.77867 31 238 0.74625 0.77867 4.34% 21.7 210s
21010 4611 0.77867 38 231 0.74625 0.77867 4.34% 22.0 215s
H21013 4377 0.7462547 0.77867 4.34% 22.0 215s
21364 4442 0.75022 54 170 0.74625 0.77867 4.34% 23.0 220s
21644 4499 0.77346 39 187 0.74625 0.77867 4.34% 23.7 225s
22009 4508 cutoff 59 0.74625 0.77867 4.34% 24.9 230s
22402 4509 0.77620 40 197 0.74625 0.77867 4.34% 26.3 235s
22791 4595 0.74784 46 196 0.74625 0.77867 4.34% 27.4 240s
23015 4657 0.77343 53 173 0.74625 0.77867 4.34% 27.9 245s
23347 4661 0.75564 48 195 0.74625 0.77867 4.34% 29.3 250s
23581 4669 0.76508 47 184 0.74625 0.77867 4.34% 30.3 255s
23846 4686 infeasible 43 0.74625 0.77867 4.34% 31.5 260s
24155 4645 0.75620 51 174 0.74625 0.77867 4.34% 32.7 265s
H24231 4445 0.7462547 0.77867 4.34% 33.0 265s
24537 4459 0.75393 57 174 0.74625 0.77867 4.34% 33.9 271s
24823 4468 0.74638 55 173 0.74625 0.77867 4.34% 34.9 275s
25066 4446 0.74988 54 167 0.74625 0.77867 4.34% 35.9 280s
25389 4436 0.74626 51 158 0.74625 0.77867 4.34% 37.0 286s
25756 4425 0.76686 50 194 0.74625 0.77867 4.34% 38.2 292s
25914 4410 infeasible 43 0.74625 0.77867 4.34% 38.9 295s
26031 4411 cutoff 48 0.74625 0.77867 4.34% 39.3 303s
26099 4389 0.76797 48 202 0.74625 0.77867 4.34% 39.6 307s
26345 4424 0.74691 55 190 0.74625 0.77867 4.34% 40.2 310s
26904 4498 0.77031 52 191 0.74625 0.77867 4.34% 41.3 317s
27186 4548 0.75658 44 194 0.74625 0.77867 4.34% 41.8 321s
27493 4600 cutoff 78 0.74625 0.77853 4.32% 42.5 325s
28091 4615 cutoff 73 0.74625 0.77824 4.29% 43.8 333s
28327 4606 cutoff 55 0.74625 0.77814 4.27% 44.7 337s
28443 4595 0.77744 52 190 0.74625 0.77791 4.24% 45.1 341s
28812 4610 0.77237 48 182 0.74625 0.77773 4.22% 45.8 346s
29175 4650 0.77753 48 186 0.74625 0.77762 4.20% 46.5 351s
29577 4650 cutoff 39 0.74625 0.77750 4.19% 47.2 356s
29862 4621 cutoff 51 0.74625 0.77716 4.14% 48.0 361s
30194 4636 0.74984 57 191 0.74625 0.77701 4.12% 48.9 366s
30589 4635 0.75123 41 184 0.74625 0.77693 4.11% 49.8 371s
31047 4637 0.76836 55 171 0.74625 0.77657 4.06% 50.6 377s
31349 4597 0.77264 55 185 0.74625 0.77625 4.02% 51.7 383s
31860 4647 infeasible 63 0.74625 0.77602 3.99% 52.4 388s
32194 4659 0.75110 55 178 0.74625 0.77578 3.96% 52.7 393s
32716 4775 0.76646 56 157 0.74625 0.77574 3.95% 53.3 399s
33166 4771 0.75775 55 196 0.74625 0.77528 3.89% 54.1 404s
33602 4782 cutoff 57 0.74625 0.77514 3.87% 55.0 409s
34055 4888 0.75703 78 132 0.74625 0.77494 3.84% 55.7 415s
34609 5105 0.76277 68 136 0.74625 0.77434 3.76% 56.3 421s
35069 5262 infeasible 59 0.74625 0.77416 3.74% 56.9 426s
35405 5304 0.74767 58 140 0.74625 0.77365 3.67% 57.8 431s
35826 5386 infeasible 71 0.74625 0.77344 3.64% 58.5 437s
36207 5435 0.74978 60 111 0.74625 0.77332 3.63% 59.1 442s
36674 5548 0.76430 49 174 0.74625 0.77295 3.58% 59.7 447s
37050 5647 0.75290 52 166 0.74625 0.77295 3.58% 60.4 454s
H37056 5647 0.7462547 0.77295 3.58% 60.4 454s
37141 5637 0.75661 55 191 0.74625 0.77271 3.54% 60.6 459s
37551 5673 0.76287 57 169 0.74625 0.77243 3.51% 61.4 464s
37863 5683 cutoff 61 0.74625 0.77227 3.49% 62.2 470s
38162 5680 cutoff 56 0.74625 0.77202 3.45% 63.1 475s
38508 5755 0.75883 60 153 0.74625 0.77181 3.42% 63.6 480s
38957 5847 0.75396 63 133 0.74625 0.77156 3.39% 64.2 486s
39142 5875 0.76562 58 168 0.74625 0.77147 3.38% 64.4 491s
39488 5916 0.75343 60 144 0.74625 0.77135 3.36% 65.1 497s
39918 5998 0.75677 43 204 0.74625 0.77109 3.33% 65.7 503s
40384 6137 infeasible 59 0.74625 0.77104 3.32% 66.2 508s
40759 6199 cutoff 53 0.74625 0.77062 3.26% 66.9 514s
41150 6237 0.75986 73 127 0.74625 0.77042 3.24% 67.6 520s
41644 6367 0.75809 53 177 0.74625 0.77026 3.22% 68.1 525s
42100 6455 cutoff 47 0.74625 0.77001 3.18% 68.7 530s
42560 6541 cutoff 55 0.74625 0.76975 3.15% 69.2 536s
42951 6560 infeasible 59 0.74625 0.76944 3.11% 69.8 541s
43339 6604 cutoff 43 0.74625 0.76926 3.08% 70.4 546s
43764 6674 cutoff 44 0.74625 0.76905 3.06% 70.9 552s
44243 6766 0.75537 79 86 0.74625 0.76885 3.03% 71.5 557s
44659 6827 cutoff 89 0.74625 0.76876 3.02% 72.0 562s
45011 6878 0.75671 51 202 0.74625 0.76859 2.99% 72.6 568s
45429 6945 cutoff 60 0.74625 0.76840 2.97% 73.0 573s
45919 7101 0.75277 43 199 0.74625 0.76829 2.95% 73.5 579s
46089 7096 cutoff 45 0.74625 0.76826 2.95% 73.6 584s
46402 7104 0.75332 50 192 0.74625 0.76803 2.92% 74.2 589s
46763 7100 cutoff 64 0.74625 0.76769 2.87% 74.7 594s
47174 7163 0.76729 63 152 0.74625 0.76749 2.85% 75.2 600s
Cutting planes:
Gomory: 192
Cover: 5
Implied bound: 59
Projected implied bound: 73
Clique: 2
MIR: 189
StrongCG: 3
Flow cover: 619
Inf proof: 123
Explored 47514 nodes (3606587 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.746255 0.746255 0.746255 0.746255
Time limit reached
Best objective 7.462547425064e-01, best bound 7.673608467439e-01, gap 2.8283%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps8smtawl.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpckwwcw1r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.735141
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.594818e-01, 1144 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.95948 0 109 0.73514 0.95948 30.5% - 0s
0 0 0.92797 0 116 0.73514 0.92797 26.2% - 0s
0 0 0.92796 0 116 0.73514 0.92796 26.2% - 0s
0 0 0.92337 0 132 0.73514 0.92337 25.6% - 0s
0 0 0.92336 0 132 0.73514 0.92336 25.6% - 0s
0 0 0.92197 0 141 0.73514 0.92197 25.4% - 0s
0 0 0.92184 0 143 0.73514 0.92184 25.4% - 0s
0 0 0.92136 0 144 0.73514 0.92136 25.3% - 0s
0 0 0.92135 0 144 0.73514 0.92135 25.3% - 0s
0 0 0.92113 0 145 0.73514 0.92113 25.3% - 0s
0 0 0.92112 0 145 0.73514 0.92112 25.3% - 0s
0 0 0.92112 0 145 0.73514 0.92112 25.3% - 0s
0 0 0.92110 0 143 0.73514 0.92110 25.3% - 0s
0 0 0.92110 0 132 0.73514 0.92110 25.3% - 0s
0 2 0.92110 0 132 0.73514 0.92110 25.3% - 0s
770 543 0.84901 14 135 0.73514 0.84901 15.5% 17.0 5s
2171 862 0.76083 32 138 0.73514 0.84099 14.4% 22.8 10s
3754 1328 0.75979 57 101 0.73514 0.81972 11.5% 26.0 15s
5468 1670 0.73605 35 138 0.73514 0.80566 9.59% 27.3 20s
6823 1900 0.74630 41 111 0.73514 0.79930 8.73% 27.1 25s
8043 1978 0.73722 39 105 0.73514 0.79435 8.05% 27.3 30s
10130 2293 cutoff 43 0.73514 0.78562 6.87% 26.6 35s
12199 2573 cutoff 53 0.73514 0.77971 6.06% 26.1 40s
13578 2849 infeasible 43 0.73514 0.77580 5.53% 25.7 45s
16140 3454 0.75139 83 79 0.73514 0.77136 4.93% 24.6 50s
19182 4278 cutoff 58 0.73514 0.76857 4.55% 23.2 55s
20771 4600 0.74876 73 84 0.73514 0.76680 4.31% 22.7 71s
22384 5028 0.74810 60 114 0.73514 0.76515 4.08% 22.6 75s
24188 5264 0.74693 64 108 0.73514 0.76311 3.80% 23.3 80s
26049 5684 0.75923 61 114 0.73514 0.76176 3.62% 23.4 85s
28510 6224 infeasible 42 0.73514 0.76035 3.43% 23.6 90s
30810 6840 infeasible 40 0.73514 0.75976 3.35% 23.4 95s
32947 7135 0.75353 65 104 0.73514 0.75869 3.20% 23.6 100s
34785 7442 cutoff 42 0.73514 0.75812 3.13% 23.8 106s
35605 7397 0.74081 85 65 0.73514 0.75779 3.08% 24.1 110s
37809 7925 0.75191 70 106 0.73514 0.75720 3.00% 23.9 115s
39790 8296 cutoff 66 0.73514 0.75671 2.93% 24.0 120s
42071 8621 0.75374 58 113 0.73514 0.75598 2.83% 24.2 125s
43830 8818 0.73610 47 133 0.73514 0.75551 2.77% 24.2 130s
45829 9224 cutoff 60 0.73514 0.75505 2.71% 24.2 135s
47802 9474 0.74228 40 156 0.73514 0.75446 2.63% 24.4 140s
49618 9590 0.74392 66 102 0.73514 0.75409 2.58% 24.5 145s
51536 9801 0.74886 76 104 0.73514 0.75357 2.51% 24.6 150s
53528 10090 0.75043 66 109 0.73514 0.75307 2.44% 24.7 156s
55326 10414 0.73962 74 82 0.73514 0.75267 2.38% 24.7 160s
57320 10866 cutoff 73 0.73514 0.75234 2.34% 24.5 165s
59321 11000 0.73802 44 133 0.73514 0.75194 2.28% 24.6 170s
61453 11169 0.74007 80 82 0.73514 0.75150 2.23% 24.7 175s
63609 11465 0.74612 55 135 0.73514 0.75102 2.16% 24.6 180s
65854 11729 cutoff 91 0.73514 0.75062 2.11% 24.6 185s
67674 11902 0.74264 46 140 0.73514 0.75031 2.06% 24.5 190s
70071 12153 0.73962 93 63 0.73514 0.74997 2.02% 24.5 195s
72326 12363 0.74257 77 95 0.73514 0.74948 1.95% 24.4 200s
74110 12654 cutoff 70 0.73514 0.74918 1.91% 24.3 205s
76290 12949 cutoff 61 0.73514 0.74885 1.86% 24.2 210s
78592 13281 0.74321 95 65 0.73514 0.74851 1.82% 24.1 215s
80938 13488 0.74364 99 60 0.73514 0.74814 1.77% 23.9 220s
83461 13671 0.73541 108 41 0.73514 0.74768 1.71% 23.9 225s
85655 13847 0.74406 83 95 0.73514 0.74736 1.66% 23.8 230s
88496 14130 cutoff 80 0.73514 0.74697 1.61% 23.7 235s
91034 14381 0.73752 90 77 0.73514 0.74676 1.58% 23.5 240s
93717 14493 0.74127 81 84 0.73514 0.74633 1.52% 23.4 245s
96370 14638 0.74044 64 116 0.73514 0.74599 1.48% 23.3 250s
98106 14649 0.74448 82 74 0.73514 0.74579 1.45% 23.3 255s
100172 14606 infeasible 74 0.73514 0.74556 1.42% 23.2 261s
H100453 14635 0.7351410 0.74549 1.41% 23.2 261s
101748 14478 infeasible 104 0.73514 0.74535 1.39% 23.1 265s
104270 14338 0.73959 92 70 0.73514 0.74502 1.34% 23.0 270s
105495 14288 0.73897 93 68 0.73514 0.74488 1.33% 23.0 275s
107234 14120 cutoff 81 0.73514 0.74469 1.30% 23.0 280s
109647 13944 cutoff 121 0.73514 0.74440 1.26% 22.9 285s
112083 13837 infeasible 88 0.73514 0.74413 1.22% 22.9 290s
114481 13697 0.74385 93 62 0.73514 0.74387 1.19% 22.8 295s
116790 13485 cutoff 91 0.73514 0.74360 1.15% 22.8 300s
119028 13275 infeasible 91 0.73514 0.74334 1.12% 22.7 305s
121240 13036 infeasible 91 0.73514 0.74310 1.08% 22.7 310s
123468 12722 0.74275 79 107 0.73514 0.74284 1.05% 22.6 315s
126134 12419 cutoff 73 0.73514 0.74255 1.01% 22.5 320s
Cutting planes:
Gomory: 143
Implied bound: 58
Projected implied bound: 18
MIR: 42
Flow cover: 113
Inf proof: 379
Explored 126852 nodes (2858739 simplex iterations) in 321.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.735141 0.735141
Optimal solution found (tolerance 1.00e-02)
Best objective 7.351410181258e-01, best bound 7.424894814070e-01, gap 0.9996%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc4r2ri5m.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpset2khlm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.726542
Presolve removed 732 rows and 474 columns
Presolve time: 0.03s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.489504e-01, 1142 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94895 0 110 0.72654 0.94895 30.6% - 0s
0 0 0.91472 0 129 0.72654 0.91472 25.9% - 0s
0 0 0.91471 0 130 0.72654 0.91471 25.9% - 0s
0 0 0.90984 0 128 0.72654 0.90984 25.2% - 0s
0 0 0.90984 0 128 0.72654 0.90984 25.2% - 0s
0 0 0.90868 0 132 0.72654 0.90868 25.1% - 0s
0 0 0.90850 0 131 0.72654 0.90850 25.0% - 0s
0 0 0.90831 0 133 0.72654 0.90831 25.0% - 0s
0 0 0.90831 0 134 0.72654 0.90831 25.0% - 0s
0 0 0.90806 0 135 0.72654 0.90806 25.0% - 0s
0 0 0.90805 0 135 0.72654 0.90805 25.0% - 0s
0 0 0.90805 0 135 0.72654 0.90805 25.0% - 0s
0 0 0.90804 0 135 0.72654 0.90804 25.0% - 0s
0 0 0.90804 0 130 0.72654 0.90804 25.0% - 0s
0 2 0.90804 0 129 0.72654 0.90804 25.0% - 0s
743 478 0.83349 14 144 0.72654 0.83349 14.7% 20.7 5s
1762 548 0.76301 38 130 0.72654 0.81607 12.3% 26.9 10s
3261 977 cutoff 42 0.72654 0.79959 10.1% 26.0 15s
4675 1325 0.74761 62 90 0.72654 0.79075 8.84% 26.7 20s
H 5593 1512 0.7265421 0.78698 8.32% 26.8 23s
5938 1494 cutoff 38 0.72654 0.78488 8.03% 27.2 25s
7499 1668 cutoff 36 0.72654 0.77716 6.97% 27.3 30s
8798 1773 cutoff 38 0.72654 0.77239 6.31% 27.2 35s
10395 2002 0.73895 44 104 0.72654 0.76814 5.73% 26.6 40s
12737 2306 0.73929 44 116 0.72654 0.76252 4.95% 25.6 45s
14672 2553 0.74970 39 111 0.72654 0.75942 4.53% 24.9 50s
16125 2754 cutoff 46 0.72654 0.75727 4.23% 24.2 55s
18566 3304 0.73550 66 83 0.72654 0.75451 3.85% 22.9 60s
20868 3883 cutoff 57 0.72654 0.75270 3.60% 22.1 77s
22514 4331 0.74253 54 127 0.72654 0.75172 3.47% 21.7 80s
24758 4971 0.73701 46 111 0.72654 0.75065 3.32% 21.7 85s
27175 5714 0.74114 62 101 0.72654 0.74988 3.21% 21.6 90s
29766 6492 0.73129 51 117 0.72654 0.74910 3.11% 21.5 95s
32436 7157 infeasible 103 0.72654 0.74850 3.02% 21.6 100s
34721 7600 0.72752 62 104 0.72654 0.74785 2.93% 21.7 105s
37024 7965 0.74559 63 106 0.72654 0.74691 2.80% 21.8 110s
39184 8258 0.73741 66 96 0.72654 0.74632 2.72% 22.0 115s
41323 8458 0.73948 75 94 0.72654 0.74540 2.60% 22.3 120s
43315 8650 0.74317 61 101 0.72654 0.74457 2.48% 22.6 125s
45433 9060 0.73459 98 63 0.72654 0.74403 2.41% 22.6 130s
47853 9559 0.72958 83 81 0.72654 0.74340 2.32% 22.6 135s
50244 9862 0.72950 106 48 0.72654 0.74269 2.22% 22.7 140s
52571 10414 0.72916 53 102 0.72654 0.74225 2.16% 22.6 145s
54936 10622 0.73527 90 67 0.72654 0.74175 2.09% 22.7 150s
57197 11004 cutoff 76 0.72654 0.74133 2.03% 22.6 155s
59754 11368 0.73587 64 113 0.72654 0.74089 1.98% 22.7 160s
61830 11689 0.73217 111 34 0.72654 0.74056 1.93% 22.7 165s
64161 12103 infeasible 89 0.72654 0.74022 1.88% 22.6 170s
66875 12468 0.73218 54 106 0.72654 0.73978 1.82% 22.6 175s
70110 13147 0.73539 79 73 0.72654 0.73955 1.79% 22.3 180s
72875 13768 cutoff 80 0.72654 0.73925 1.75% 22.2 185s
75581 14334 infeasible 86 0.72654 0.73902 1.72% 22.0 190s
78374 14889 0.73878 85 75 0.72654 0.73878 1.68% 21.9 195s
80784 15320 0.73419 78 86 0.72654 0.73859 1.66% 21.8 200s
83100 15610 cutoff 99 0.72654 0.73839 1.63% 21.7 205s
H83108 15611 0.7265421 0.73838 1.63% 21.7 205s
84988 15780 0.72713 136 12 0.72654 0.73824 1.61% 21.7 210s
86781 16043 0.73706 64 96 0.72654 0.73809 1.59% 21.7 215s
89287 16303 0.72774 94 74 0.72654 0.73798 1.57% 21.6 220s
92464 16813 cutoff 68 0.72654 0.73773 1.54% 21.5 225s
94712 16965 0.73568 99 66 0.72654 0.73755 1.51% 21.5 230s
97394 17181 0.73260 99 52 0.72654 0.73735 1.49% 21.4 235s
99316 17228 cutoff 100 0.72654 0.73719 1.47% 21.5 240s
101880 17346 cutoff 82 0.72654 0.73703 1.44% 21.5 245s
103978 17338 infeasible 116 0.72654 0.73692 1.43% 21.5 250s
106276 17375 cutoff 100 0.72654 0.73677 1.41% 21.5 255s
108444 17381 0.73261 50 123 0.72654 0.73660 1.38% 21.6 260s
111016 17330 0.72886 86 84 0.72654 0.73643 1.36% 21.6 265s
112292 17321 cutoff 87 0.72654 0.73633 1.35% 21.6 270s
114307 17226 0.72957 89 68 0.72654 0.73617 1.33% 21.7 275s
116428 17138 cutoff 98 0.72654 0.73602 1.31% 21.8 280s
118358 17042 cutoff 93 0.72654 0.73587 1.28% 21.8 285s
120477 16941 cutoff 87 0.72654 0.73574 1.27% 21.8 290s
122738 16975 0.73477 94 86 0.72654 0.73560 1.25% 21.8 295s
124049 16788 0.73548 79 83 0.72654 0.73548 1.23% 21.9 300s
126287 16710 0.73137 102 57 0.72654 0.73534 1.21% 21.9 305s
128292 16569 cutoff 95 0.72654 0.73518 1.19% 21.9 310s
130580 16413 0.73053 94 72 0.72654 0.73504 1.17% 22.0 315s
132217 16174 cutoff 82 0.72654 0.73486 1.14% 22.1 320s
134095 15970 0.73066 100 45 0.72654 0.73471 1.12% 22.1 325s
135887 15711 0.73263 96 73 0.72654 0.73456 1.10% 22.2 330s
137504 15466 0.73247 65 123 0.72654 0.73441 1.08% 22.2 335s
139371 15273 cutoff 48 0.72654 0.73429 1.07% 22.3 340s
140573 15113 0.73230 95 71 0.72654 0.73418 1.05% 22.3 345s
142575 14938 cutoff 80 0.72654 0.73404 1.03% 22.3 350s
144281 14733 cutoff 93 0.72654 0.73390 1.01% 22.4 355s
Cutting planes:
Gomory: 123
Cover: 5
Implied bound: 64
Projected implied bound: 22
MIR: 32
Flow cover: 137
Inf proof: 419
Explored 146079 nodes (3270588 simplex iterations) in 358.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.726542 0.726542 0.726542
Optimal solution found (tolerance 1.00e-02)
Best objective 7.265421458050e-01, best bound 7.337679576396e-01, gap 0.9945%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdcptxlwm.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvdr1hqhl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.719403
Presolve removed 746 rows and 483 columns
Presolve time: 0.04s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 9.403301e-01, 1146 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94033 0 118 0.71940 0.94033 30.7% - 0s
0 0 0.90784 0 128 0.71940 0.90784 26.2% - 0s
0 0 0.90780 0 128 0.71940 0.90780 26.2% - 0s
0 0 0.90299 0 139 0.71940 0.90299 25.5% - 0s
0 0 0.90299 0 138 0.71940 0.90299 25.5% - 0s
0 0 0.90193 0 146 0.71940 0.90193 25.4% - 0s
0 0 0.90181 0 146 0.71940 0.90181 25.4% - 0s
0 0 0.90155 0 143 0.71940 0.90155 25.3% - 0s
0 0 0.90137 0 143 0.71940 0.90137 25.3% - 0s
0 0 0.90137 0 143 0.71940 0.90137 25.3% - 0s
0 0 0.90137 0 137 0.71940 0.90137 25.3% - 0s
0 2 0.90137 0 135 0.71940 0.90137 25.3% - 0s
746 528 0.82806 16 154 0.71940 0.82806 15.1% 16.8 5s
1887 714 0.72329 61 114 0.71940 0.82806 15.1% 27.2 10s
3260 1091 0.75947 39 110 0.71940 0.81641 13.5% 30.6 15s
4382 1476 0.77717 30 142 0.71940 0.81085 12.7% 30.7 20s
6196 2079 0.78458 38 131 0.71940 0.80354 11.7% 30.1 25s
7659 2380 0.72761 43 131 0.71940 0.79817 10.9% 30.5 30s
9512 2760 0.72946 43 129 0.71940 0.79252 10.2% 30.6 35s
11104 3042 cutoff 59 0.71940 0.78730 9.44% 30.3 40s
13092 3286 infeasible 41 0.71940 0.78117 8.59% 30.8 46s
14403 3340 0.73434 48 127 0.71940 0.77792 8.13% 30.8 51s
16181 3461 cutoff 46 0.71940 0.77369 7.55% 30.9 55s
17820 3552 cutoff 46 0.71940 0.76953 6.97% 30.9 60s
19594 3782 0.76247 40 130 0.71940 0.76648 6.54% 30.9 65s
20846 3880 0.73370 34 137 0.71940 0.76426 6.24% 30.9 82s
20854 3885 0.73193 40 186 0.71940 0.76426 6.24% 30.9 85s
20862 3891 0.74770 38 220 0.71940 0.76426 6.24% 30.8 90s
20866 3893 0.73223 44 233 0.71940 0.76426 6.24% 30.8 95s
20871 3897 0.73434 48 235 0.71940 0.76426 6.24% 30.8 100s
20876 3900 0.74982 36 219 0.71940 0.76426 6.24% 30.8 106s
20882 3904 0.75263 42 259 0.71940 0.76426 6.24% 30.8 110s
20888 3908 0.72281 42 258 0.71940 0.76426 6.24% 30.8 115s
20892 3911 0.75447 51 256 0.71940 0.76426 6.24% 30.8 120s
20898 3915 0.72455 44 251 0.71940 0.76426 6.24% 30.8 125s
20903 3918 0.75132 59 268 0.71940 0.76426 6.24% 30.8 130s
20910 3923 0.72287 47 256 0.71940 0.76426 6.24% 30.8 135s
20915 3926 0.72938 52 254 0.71940 0.76426 6.24% 30.8 140s
20921 3930 0.72183 45 255 0.71940 0.76426 6.24% 30.8 145s
20927 3934 0.73236 51 248 0.71940 0.76426 6.24% 30.7 150s
20932 3937 0.73825 78 256 0.71940 0.76426 6.24% 30.7 155s
20938 3941 0.73170 43 274 0.71940 0.76426 6.24% 30.7 160s
20942 3944 0.76249 40 281 0.71940 0.76426 6.24% 30.7 165s
20945 3948 0.76426 31 267 0.71940 0.76426 6.24% 31.7 173s
20947 3947 infeasible 32 0.71940 0.76426 6.24% 31.7 179s
20950 3946 0.76426 33 262 0.71940 0.76426 6.24% 31.7 186s
20977 3959 0.75706 40 219 0.71940 0.76426 6.24% 31.9 190s
21074 3968 0.73216 57 184 0.71940 0.76426 6.24% 32.5 195s
H21078 3768 0.7194027 0.76426 6.24% 32.5 195s
21334 3849 0.73330 124 82 0.71940 0.76426 6.24% 32.9 200s
21558 3915 0.75129 40 239 0.71940 0.76426 6.24% 33.3 205s
21780 3908 0.74292 43 235 0.71940 0.76426 6.24% 34.6 210s
21988 3912 0.73994 49 208 0.71940 0.76324 6.09% 35.7 215s
22311 3982 0.74006 41 214 0.71940 0.76088 5.76% 36.5 220s
22461 3978 0.72616 58 180 0.71940 0.76032 5.69% 36.9 225s
22727 4002 0.74367 47 196 0.71940 0.75763 5.31% 37.9 230s
23118 4097 0.74696 61 180 0.71940 0.75626 5.12% 38.9 235s
23414 4094 0.74252 43 240 0.71940 0.75608 5.10% 39.8 240s
23691 4104 0.74143 58 182 0.71940 0.75468 4.90% 40.6 245s
23950 4168 0.72371 72 187 0.71940 0.75468 4.90% 41.2 250s
24247 4179 0.72490 44 201 0.71940 0.75437 4.86% 42.0 256s
24563 4226 0.73793 45 206 0.71940 0.75370 4.77% 42.6 260s
24956 4292 0.74931 45 216 0.71940 0.75328 4.71% 43.3 265s
25365 4372 0.73809 43 196 0.71940 0.75279 4.64% 44.0 271s
25844 4433 0.74140 72 131 0.71940 0.75240 4.59% 44.7 277s
26037 4448 infeasible 48 0.71940 0.75233 4.58% 45.2 285s
26286 4447 cutoff 59 0.71940 0.75208 4.54% 45.7 291s
26503 4476 cutoff 59 0.71940 0.75191 4.52% 46.2 295s
26976 4547 0.73321 115 74 0.71940 0.75140 4.45% 46.9 302s
27310 4595 0.74214 45 207 0.71940 0.75125 4.43% 47.2 305s
27524 4621 0.74997 52 183 0.71940 0.75116 4.41% 47.7 310s
28069 4613 0.74257 47 201 0.71940 0.75062 4.34% 48.7 317s
28440 4670 0.73290 49 187 0.71940 0.75037 4.30% 49.0 322s
28779 4664 0.72257 86 129 0.71940 0.75021 4.28% 49.5 326s
29041 4662 0.72435 57 198 0.71940 0.75004 4.26% 50.2 332s
29417 4709 0.74082 44 243 0.71940 0.74977 4.22% 50.6 337s
29755 4707 0.72462 47 220 0.71940 0.74967 4.21% 51.2 342s
30087 4730 0.72512 61 203 0.71940 0.74947 4.18% 51.7 347s
30298 4721 0.71979 55 155 0.71940 0.74939 4.17% 52.3 352s
30603 4709 0.74863 71 133 0.71940 0.74928 4.15% 53.0 358s
30929 4673 0.72913 50 181 0.71940 0.74912 4.13% 53.8 363s
31302 4663 0.72169 66 156 0.71940 0.74887 4.10% 54.4 369s
31626 4663 cutoff 55 0.71940 0.74870 4.07% 55.1 375s
31954 4628 cutoff 95 0.71940 0.74867 4.07% 55.9 380s
32319 4675 0.74232 57 174 0.71940 0.74836 4.03% 56.6 386s
32682 4771 cutoff 53 0.71940 0.74820 4.00% 57.2 392s
33019 4849 0.72131 62 189 0.71940 0.74808 3.99% 58.0 397s
33220 4917 0.74658 44 208 0.71940 0.74799 3.97% 58.3 403s
33665 5069 0.73963 50 214 0.71940 0.74782 3.95% 58.8 409s
33972 5130 0.72546 72 130 0.71940 0.74767 3.93% 59.5 416s
34065 5122 cutoff 52 0.71940 0.74765 3.93% 59.8 422s
34416 5224 0.72215 48 194 0.71940 0.74749 3.90% 60.5 428s
34781 5328 cutoff 53 0.71940 0.74739 3.89% 61.1 433s
35155 5461 cutoff 52 0.71940 0.74724 3.87% 61.7 439s
35538 5579 0.72529 52 231 0.71940 0.74709 3.85% 62.2 445s
35932 5680 cutoff 62 0.71940 0.74694 3.83% 62.8 451s
36350 5807 0.73152 112 86 0.71940 0.74673 3.80% 63.4 458s
36827 5983 0.73713 56 188 0.71940 0.74658 3.78% 63.9 463s
37173 6051 cutoff 52 0.71940 0.74638 3.75% 64.5 469s
37414 6086 0.72795 49 224 0.71940 0.74630 3.74% 64.9 476s
37825 6209 0.73166 48 197 0.71940 0.74615 3.72% 65.4 482s
38189 6283 0.73293 51 186 0.71940 0.74596 3.69% 65.9 488s
38577 6373 0.72400 67 153 0.71940 0.74591 3.69% 66.6 494s
38850 6404 cutoff 55 0.71940 0.74572 3.66% 67.2 500s
39223 6470 0.72852 56 201 0.71940 0.74555 3.63% 67.8 506s
39581 6555 cutoff 46 0.71940 0.74543 3.62% 68.3 512s
39948 6637 0.72634 44 205 0.71940 0.74527 3.60% 68.9 518s
40301 6718 0.73214 58 210 0.71940 0.74515 3.58% 69.4 524s
40706 6812 0.72562 69 161 0.71940 0.74494 3.55% 69.9 531s
41222 6922 0.72745 51 185 0.71940 0.74480 3.53% 70.2 537s
41647 7036 0.73725 55 172 0.71940 0.74466 3.51% 70.5 543s
42088 7170 0.72354 58 178 0.71940 0.74459 3.50% 70.9 550s
42207 7158 infeasible 54 0.71940 0.74457 3.50% 70.9 556s
42538 7197 0.73627 55 191 0.71940 0.74432 3.46% 71.5 562s
42844 7252 0.73438 68 161 0.71940 0.74423 3.45% 72.1 568s
43236 7300 0.72788 100 121 0.71940 0.74404 3.42% 72.5 574s
43615 7369 cutoff 74 0.71940 0.74394 3.41% 73.0 581s
44129 7527 0.73005 75 131 0.71940 0.74381 3.39% 73.3 587s
44481 7558 0.73005 59 161 0.71940 0.74364 3.37% 73.8 593s
44953 7654 0.72274 65 184 0.71940 0.74342 3.34% 74.0 600s
Cutting planes:
Gomory: 246
Cover: 9
Implied bound: 43
Projected implied bound: 63
Clique: 1
MIR: 186
StrongCG: 3
Flow cover: 573
Inf proof: 110
Explored 45370 nodes (3378532 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.719403 0.719403
Time limit reached
Best objective 7.194027438333e-01, best bound 7.432798889998e-01, gap 3.3190%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxetlqlv7.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw145qssu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714741
Presolve removed 760 rows and 492 columns
Presolve time: 0.03s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 9.343667e-01, 1189 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93437 0 119 0.71474 0.93437 30.7% - 0s
0 0 0.90046 0 136 0.71474 0.90046 26.0% - 0s
0 0 0.90046 0 137 0.71474 0.90046 26.0% - 0s
0 0 0.89538 0 140 0.71474 0.89538 25.3% - 0s
0 0 0.89530 0 139 0.71474 0.89530 25.3% - 0s
0 0 0.89438 0 149 0.71474 0.89438 25.1% - 0s
0 0 0.89420 0 145 0.71474 0.89420 25.1% - 0s
0 0 0.89371 0 149 0.71474 0.89371 25.0% - 0s
0 0 0.89371 0 149 0.71474 0.89371 25.0% - 0s
0 0 0.89352 0 150 0.71474 0.89352 25.0% - 0s
0 0 0.89352 0 149 0.71474 0.89352 25.0% - 0s
0 0 0.89352 0 149 0.71474 0.89352 25.0% - 0s
0 0 0.89336 0 148 0.71474 0.89336 25.0% - 0s
0 0 0.89336 0 138 0.71474 0.89336 25.0% - 0s
0 2 0.89336 0 136 0.71474 0.89336 25.0% - 0s
802 618 0.73184 12 140 0.71474 0.82658 15.6% 18.5 5s
1697 912 0.76925 25 127 0.71474 0.82505 15.4% 22.2 10s
2789 1038 cutoff 37 0.71474 0.80766 13.0% 26.6 15s
4020 1494 0.74015 34 135 0.71474 0.79862 11.7% 28.2 20s
H 4466 1648 0.7147406 0.79750 11.6% 28.3 22s
4870 1703 infeasible 32 0.71474 0.79543 11.3% 28.8 25s
5974 1898 0.72188 39 140 0.71474 0.79010 10.5% 29.8 30s
6883 2071 cutoff 33 0.71474 0.78759 10.2% 30.2 35s
8382 2266 0.75572 41 127 0.71474 0.78302 9.55% 31.0 40s
9007 2338 cutoff 39 0.71474 0.78144 9.33% 31.2 45s
10432 2552 cutoff 34 0.71474 0.77805 8.86% 31.3 50s
12096 2809 cutoff 43 0.71474 0.77339 8.21% 31.3 55s
13265 2841 0.73590 41 121 0.71474 0.77045 7.79% 31.8 60s
14322 3045 0.75380 42 130 0.71474 0.76834 7.50% 31.6 65s
15960 3193 0.73660 34 134 0.71474 0.76518 7.06% 31.8 70s
17240 3303 0.74959 33 139 0.71474 0.76273 6.71% 31.9 75s
18127 3342 cutoff 39 0.71474 0.76119 6.50% 31.8 80s
19344 3472 0.73437 33 138 0.71474 0.75879 6.16% 32.0 85s
20728 3711 0.72464 34 137 0.71474 0.75703 5.92% 31.7 103s
21496 3789 0.73080 45 136 0.71474 0.75541 5.69% 31.9 106s
22570 4028 cutoff 77 0.71474 0.75330 5.39% 32.3 110s
23594 4242 cutoff 41 0.71474 0.75178 5.18% 32.5 115s
24604 4438 0.72013 47 116 0.71474 0.75038 4.99% 32.8 120s
25695 4641 0.72717 32 163 0.71474 0.74901 4.80% 32.9 125s
27118 4870 0.74502 57 114 0.71474 0.74754 4.59% 33.4 131s
28256 5056 cutoff 51 0.71474 0.74655 4.45% 33.7 135s
29573 5356 0.72510 84 96 0.71474 0.74555 4.31% 33.8 140s
31007 5632 infeasible 52 0.71474 0.74473 4.20% 33.8 145s
33017 6100 0.73929 63 103 0.71474 0.74352 4.03% 33.6 150s
34373 6352 0.72649 42 127 0.71474 0.74259 3.90% 33.8 155s
36225 6729 0.72368 59 97 0.71474 0.74194 3.81% 33.7 161s
37563 6995 0.72254 79 80 0.71474 0.74106 3.68% 33.6 165s
39454 7375 0.72397 74 77 0.71474 0.74026 3.57% 33.5 170s
40842 7612 cutoff 59 0.71474 0.73993 3.52% 33.4 175s
42679 7876 cutoff 74 0.71474 0.73922 3.43% 33.3 180s
43802 8015 0.73462 50 113 0.71474 0.73887 3.38% 33.4 185s
45507 8330 0.72042 52 110 0.71474 0.73821 3.28% 33.4 190s
46380 8509 0.73326 65 113 0.71474 0.73797 3.25% 33.4 195s
47737 8763 cutoff 65 0.71474 0.73762 3.20% 33.3 200s
49642 9188 cutoff 87 0.71474 0.73697 3.11% 33.1 205s
51380 9503 cutoff 40 0.71474 0.73655 3.05% 33.0 210s
53394 10051 0.73071 46 144 0.71474 0.73613 2.99% 32.8 215s
55452 10644 cutoff 67 0.71474 0.73581 2.95% 32.5 220s
57159 11024 cutoff 37 0.71474 0.73542 2.89% 32.4 225s
59236 11662 cutoff 60 0.71474 0.73501 2.84% 32.1 230s
61144 11949 cutoff 66 0.71474 0.73450 2.76% 32.1 235s
62908 12349 0.73012 61 119 0.71474 0.73416 2.72% 31.9 240s
64956 12926 0.72477 68 85 0.71474 0.73387 2.68% 31.7 245s
66752 13352 0.73245 57 101 0.71474 0.73360 2.64% 31.5 250s
68601 13752 0.71857 93 87 0.71474 0.73326 2.59% 31.4 255s
70480 14308 0.73114 73 88 0.71474 0.73301 2.56% 31.2 260s
72026 14625 0.72727 95 82 0.71474 0.73287 2.54% 31.0 265s
73962 15181 0.72713 44 115 0.71474 0.73262 2.50% 30.8 270s
75828 15605 0.73185 56 119 0.71474 0.73240 2.47% 30.7 275s
77396 15825 cutoff 63 0.71474 0.73220 2.44% 30.7 280s
79114 15997 cutoff 98 0.71474 0.73196 2.41% 30.7 285s
80866 16164 cutoff 50 0.71474 0.73173 2.38% 30.7 290s
82657 16412 infeasible 71 0.71474 0.73149 2.34% 30.6 295s
83940 16497 cutoff 51 0.71474 0.73127 2.31% 30.6 300s
85742 16728 infeasible 85 0.71474 0.73106 2.28% 30.6 305s
87378 16846 0.72781 92 79 0.71474 0.73084 2.25% 30.6 310s
89034 16978 0.71591 51 141 0.71474 0.73063 2.22% 30.6 315s
90782 17049 cutoff 95 0.71474 0.73037 2.19% 30.6 320s
92412 17041 0.72668 52 115 0.71474 0.73009 2.15% 30.7 325s
93920 17207 0.72960 67 110 0.71474 0.72999 2.13% 30.6 330s
95682 17323 cutoff 81 0.71474 0.72975 2.10% 30.6 335s
97649 17588 0.71617 47 133 0.71474 0.72958 2.08% 30.6 340s
99423 17705 0.72530 66 122 0.71474 0.72940 2.05% 30.5 345s
101440 17931 0.72430 66 116 0.71474 0.72925 2.03% 30.5 350s
102535 18022 infeasible 93 0.71474 0.72912 2.01% 30.5 355s
104509 18152 0.72858 76 100 0.71474 0.72897 1.99% 30.4 360s
106177 18140 cutoff 64 0.71474 0.72878 1.96% 30.4 365s
108228 18228 0.71561 103 50 0.71474 0.72861 1.94% 30.3 370s
109608 18294 cutoff 76 0.71474 0.72847 1.92% 30.3 375s
111505 18241 infeasible 59 0.71474 0.72831 1.90% 30.2 380s
113500 18323 cutoff 109 0.71474 0.72812 1.87% 30.2 385s
115420 18354 0.72766 110 54 0.71474 0.72798 1.85% 30.1 390s
116770 18404 0.72105 57 122 0.71474 0.72788 1.84% 30.1 395s
118736 18474 cutoff 128 0.71474 0.72772 1.82% 30.0 400s
120621 18558 cutoff 67 0.71474 0.72757 1.80% 29.9 405s
122005 18482 0.72741 83 94 0.71474 0.72741 1.77% 29.9 410s
123839 18493 0.72102 90 84 0.71474 0.72726 1.75% 29.9 415s
125440 18531 0.72144 107 64 0.71474 0.72712 1.73% 29.8 420s
127418 18618 cutoff 101 0.71474 0.72697 1.71% 29.8 425s
129221 18554 0.72446 98 74 0.71474 0.72681 1.69% 29.7 430s
130971 18548 0.72478 68 130 0.71474 0.72665 1.67% 29.7 435s
132776 18552 0.72020 58 106 0.71474 0.72650 1.65% 29.6 440s
134753 18685 0.72246 88 82 0.71474 0.72637 1.63% 29.5 445s
136451 18640 infeasible 109 0.71474 0.72624 1.61% 29.5 450s
138063 18628 0.72094 77 97 0.71474 0.72609 1.59% 29.5 455s
138968 18703 0.72599 82 93 0.71474 0.72599 1.57% 29.5 460s
140216 18605 0.72590 83 101 0.71474 0.72590 1.56% 29.4 465s
141931 18595 0.71522 96 82 0.71474 0.72571 1.53% 29.4 470s
143994 18506 cutoff 83 0.71474 0.72551 1.51% 29.4 475s
145443 18389 cutoff 103 0.71474 0.72537 1.49% 29.4 480s
147177 18403 cutoff 100 0.71474 0.72523 1.47% 29.4 485s
149285 18357 infeasible 102 0.71474 0.72506 1.44% 29.3 490s
150938 18307 0.72296 73 114 0.71474 0.72492 1.42% 29.3 495s
152676 18230 cutoff 94 0.71474 0.72477 1.40% 29.3 500s
154298 18182 cutoff 115 0.71474 0.72462 1.38% 29.3 505s
156224 18078 0.72375 57 117 0.71474 0.72444 1.36% 29.3 510s
157867 18018 cutoff 110 0.71474 0.72431 1.34% 29.3 515s
159534 17954 0.72135 68 125 0.71474 0.72421 1.32% 29.2 520s
161859 17979 0.72405 88 86 0.71474 0.72405 1.30% 29.2 525s
163414 17889 cutoff 62 0.71474 0.72390 1.28% 29.2 530s
165076 17794 cutoff 99 0.71474 0.72378 1.26% 29.1 535s
167025 17664 0.72362 64 95 0.71474 0.72362 1.24% 29.1 540s
168716 17635 0.71500 77 98 0.71474 0.72351 1.23% 29.1 545s
170623 17668 0.72303 70 131 0.71474 0.72341 1.21% 29.0 550s
172137 17535 0.72236 86 89 0.71474 0.72326 1.19% 29.0 555s
173933 17473 0.72312 90 80 0.71474 0.72312 1.17% 28.9 560s
175455 17325 0.72302 79 99 0.71474 0.72302 1.16% 28.9 565s
177340 17144 cutoff 20 0.71474 0.72285 1.13% 28.9 570s
178936 17000 cutoff 60 0.71474 0.72273 1.12% 28.9 575s
180757 16871 infeasible 85 0.71474 0.72258 1.10% 28.8 580s
182490 16682 cutoff 64 0.71474 0.72243 1.08% 28.8 585s
184401 16577 cutoff 94 0.71474 0.72227 1.05% 28.8 590s
185948 16339 cutoff 103 0.71474 0.72214 1.04% 28.7 595s
187658 16174 0.72083 67 104 0.71474 0.72201 1.02% 28.7 600s
Cutting planes:
Gomory: 166
Cover: 2
Implied bound: 92
Projected implied bound: 33
Clique: 1
MIR: 37
Flow cover: 163
Inf proof: 614
Explored 188020 nodes (5399568 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.714741 0.714741
Time limit reached
Best objective 7.147405844785e-01, best bound 7.219930861731e-01, gap 1.0147%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbi2chs3o.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph72mn6pq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.706848
Presolve removed 774 rows and 501 columns
Presolve time: 0.03s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 9.248327e-01, 1198 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92483 0 122 0.70685 0.92483 30.8% - 0s
0 0 0.89295 0 132 0.70685 0.89295 26.3% - 0s
0 0 0.89295 0 133 0.70685 0.89295 26.3% - 0s
0 0 0.88655 0 145 0.70685 0.88655 25.4% - 0s
0 0 0.88643 0 146 0.70685 0.88643 25.4% - 0s
0 0 0.88539 0 156 0.70685 0.88539 25.3% - 0s
0 0 0.88526 0 155 0.70685 0.88526 25.2% - 0s
0 0 0.88504 0 154 0.70685 0.88504 25.2% - 0s
0 0 0.88484 0 152 0.70685 0.88484 25.2% - 0s
0 0 0.88481 0 152 0.70685 0.88481 25.2% - 0s
0 0 0.88481 0 152 0.70685 0.88481 25.2% - 0s
0 0 0.88480 0 152 0.70685 0.88480 25.2% - 0s
0 0 0.88480 0 144 0.70685 0.88480 25.2% - 0s
0 2 0.88480 0 143 0.70685 0.88480 25.2% - 0s
752 542 0.77657 52 149 0.70685 0.81395 15.2% 16.8 5s
1420 744 0.74321 43 141 0.70685 0.81395 15.2% 24.7 10s
2713 1152 0.74872 38 141 0.70685 0.79608 12.6% 27.5 15s
3566 1602 infeasible 42 0.70685 0.79298 12.2% 29.5 20s
4572 2015 0.74823 38 132 0.70685 0.78887 11.6% 30.9 25s
5669 2419 0.73262 44 136 0.70685 0.78569 11.2% 33.1 30s
H 6488 2632 0.7068479 0.78444 11.0% 34.3 34s
6530 2623 0.72049 34 154 0.70685 0.78431 11.0% 34.2 35s
7341 2799 0.74407 40 139 0.70685 0.78175 10.6% 35.3 40s
8232 2985 cutoff 36 0.70685 0.77997 10.3% 36.7 45s
H 8327 3001 0.7068479 0.77989 10.3% 37.1 45s
9190 3122 infeasible 34 0.70685 0.77803 10.1% 38.3 50s
10084 3250 0.76248 33 152 0.70685 0.77652 9.86% 39.3 55s
11130 3436 0.76138 38 143 0.70685 0.77442 9.56% 40.5 60s
12265 3653 0.74979 35 154 0.70685 0.77248 9.29% 41.0 65s
13325 3870 cutoff 36 0.70685 0.77080 9.05% 41.4 70s
14023 3969 0.73116 39 164 0.70685 0.76947 8.86% 42.0 75s
14930 4116 cutoff 45 0.70685 0.76792 8.64% 42.0 80s
16134 4211 0.71326 35 147 0.70685 0.76570 8.33% 42.7 85s
17227 4291 0.72964 36 151 0.70685 0.76377 8.05% 43.3 90s
18331 4411 0.74575 44 145 0.70685 0.76143 7.72% 43.9 95s
19485 4473 cutoff 38 0.70685 0.75864 7.33% 44.6 100s
20709 4629 0.75317 32 144 0.70685 0.75631 7.00% 44.8 120s
20721 4637 0.71794 53 189 0.70685 0.75631 7.00% 44.8 125s
20728 4642 0.74571 34 240 0.70685 0.75631 7.00% 44.8 130s
20733 4645 0.71724 44 253 0.70685 0.75631 7.00% 44.8 135s
20740 4650 0.72964 41 247 0.70685 0.75631 7.00% 44.8 140s
20745 4653 0.75624 36 250 0.70685 0.75631 7.00% 44.8 146s
20749 4656 0.70884 62 271 0.70685 0.75631 7.00% 44.7 150s
20754 4659 0.71107 74 256 0.70685 0.75631 7.00% 44.7 155s
20758 4662 0.71144 59 275 0.70685 0.75631 7.00% 44.7 160s
20763 4665 0.74004 50 240 0.70685 0.75631 7.00% 44.7 165s
20767 4668 0.72035 47 259 0.70685 0.75631 7.00% 44.7 170s
20773 4672 0.71773 52 273 0.70685 0.75631 7.00% 44.7 175s
20777 4674 0.75554 35 250 0.70685 0.75631 7.00% 44.7 180s
20783 4678 0.73766 44 255 0.70685 0.75631 7.00% 44.7 186s
20787 4681 0.72259 61 284 0.70685 0.75631 7.00% 44.7 190s
20791 4684 0.71561 37 277 0.70685 0.75631 7.00% 44.7 195s
20796 4687 0.74079 36 277 0.70685 0.75631 7.00% 44.6 200s
20801 4690 0.74348 39 269 0.70685 0.75631 7.00% 44.6 205s
20807 4694 0.71324 45 266 0.70685 0.75631 7.00% 44.6 210s
20813 4698 0.74445 50 276 0.70685 0.75631 7.00% 44.6 215s
20818 4702 0.71398 61 282 0.70685 0.75631 7.00% 44.6 220s
20822 4704 0.71862 45 281 0.70685 0.75631 7.00% 44.6 225s
20827 4708 0.71007 64 273 0.70685 0.75631 7.00% 44.6 230s
20831 4710 0.72207 41 289 0.70685 0.75631 7.00% 44.6 235s
20835 4713 0.72250 54 288 0.70685 0.75631 7.00% 44.6 240s
20839 4719 0.75631 25 248 0.70685 0.75631 7.00% 45.4 249s
20841 4719 0.75631 26 250 0.70685 0.75631 7.00% 45.4 256s
20845 4718 infeasible 27 0.70685 0.75631 7.00% 45.4 260s
20866 4729 0.75631 30 289 0.70685 0.75631 7.00% 45.7 265s
20981 4743 0.71528 48 207 0.70685 0.75631 7.00% 46.2 270s
21113 4743 0.73113 42 207 0.70685 0.75631 7.00% 46.7 275s
21375 4726 infeasible 32 0.70685 0.75098 6.24% 47.6 281s
21497 4754 0.70830 48 218 0.70685 0.75004 6.11% 48.3 285s
21745 4812 cutoff 71 0.70685 0.74852 5.90% 49.0 290s
22080 4842 0.70909 52 212 0.70685 0.74418 5.28% 50.3 295s
22333 4859 0.71078 42 212 0.70685 0.74298 5.11% 51.3 300s
22635 4906 0.72543 49 220 0.70685 0.74196 4.97% 52.3 306s
22956 4991 0.71028 55 198 0.70685 0.74126 4.87% 53.0 310s
23244 4988 0.72279 45 223 0.70685 0.74021 4.72% 53.9 315s
23582 5032 0.72739 40 221 0.70685 0.73936 4.60% 54.9 322s
23867 5052 cutoff 56 0.70685 0.73926 4.59% 55.5 326s
24285 5171 0.73434 39 232 0.70685 0.73831 4.45% 55.9 331s
24581 5203 cutoff 57 0.70685 0.73805 4.41% 56.8 335s
24821 5230 cutoff 58 0.70685 0.73746 4.33% 57.9 341s
25114 5247 0.73650 44 216 0.70685 0.73701 4.27% 59.0 346s
25476 5274 cutoff 53 0.70685 0.73650 4.19% 60.0 352s
25740 5313 0.70938 51 230 0.70685 0.73634 4.17% 60.5 355s
26022 5333 0.72993 52 190 0.70685 0.73599 4.12% 61.4 362s
26324 5386 0.71098 54 208 0.70685 0.73591 4.11% 61.9 366s
26492 5383 0.71367 42 215 0.70685 0.73583 4.10% 62.5 370s
26999 5425 0.72362 44 215 0.70685 0.73554 4.06% 63.8 377s
27230 5444 0.71048 46 198 0.70685 0.73543 4.04% 64.5 382s
27543 5489 cutoff 44 0.70685 0.73535 4.03% 64.8 386s
27846 5496 0.70768 69 168 0.70685 0.73507 3.99% 65.5 390s
28073 5499 0.72056 47 209 0.70685 0.73495 3.98% 66.2 397s
28361 5529 0.73135 49 204 0.70685 0.73469 3.94% 66.9 401s
28424 5525 0.73050 44 219 0.70685 0.73460 3.93% 67.1 406s
28745 5574 cutoff 99 0.70685 0.73454 3.92% 67.7 411s
29090 5586 cutoff 45 0.70685 0.73430 3.88% 68.4 416s
29385 5616 0.70828 51 215 0.70685 0.73416 3.86% 69.1 421s
29649 5588 0.72288 42 229 0.70685 0.73383 3.82% 70.1 427s
30000 5557 0.72175 47 207 0.70685 0.73363 3.79% 70.8 433s
30316 5535 0.72820 42 213 0.70685 0.73349 3.77% 71.4 438s
30650 5507 0.70796 59 185 0.70685 0.73318 3.73% 72.2 444s
30921 5504 0.72260 45 209 0.70685 0.73289 3.68% 73.2 451s
31253 5504 0.71477 51 217 0.70685 0.73272 3.66% 74.0 457s
31627 5478 cutoff 54 0.70685 0.73256 3.64% 74.8 463s
31980 5454 0.72187 49 225 0.70685 0.73250 3.63% 75.7 470s
32410 5465 cutoff 50 0.70685 0.73216 3.58% 76.4 477s
32699 5469 0.72877 71 175 0.70685 0.73203 3.56% 76.9 484s
33013 5475 0.71989 52 217 0.70685 0.73185 3.54% 77.8 490s
33289 5467 infeasible 53 0.70685 0.73161 3.50% 78.7 496s
33638 5454 0.71823 56 187 0.70685 0.73144 3.48% 79.3 502s
33950 5417 0.72472 49 218 0.70685 0.73131 3.46% 80.1 509s
34324 5428 0.72512 66 171 0.70685 0.73117 3.44% 80.8 516s
34837 5522 0.71256 47 202 0.70685 0.73110 3.43% 81.1 523s
35227 5574 cutoff 58 0.70685 0.73086 3.40% 81.8 530s
35507 5623 0.71099 59 192 0.70685 0.73069 3.37% 82.7 537s
35838 5716 0.70935 42 227 0.70685 0.73058 3.36% 83.5 544s
36111 5802 0.72825 44 233 0.70685 0.73047 3.34% 83.9 550s
36442 5886 0.72954 42 227 0.70685 0.73035 3.32% 84.7 557s
36795 5983 0.72022 46 196 0.70685 0.73005 3.28% 85.4 563s
37124 6071 cutoff 49 0.70685 0.72992 3.26% 86.0 570s
37410 6141 0.71322 40 228 0.70685 0.72981 3.25% 86.8 576s
37746 6229 infeasible 49 0.70685 0.72961 3.22% 87.5 583s
38056 6292 0.72768 47 207 0.70685 0.72949 3.20% 88.3 590s
38357 6373 0.71892 61 193 0.70685 0.72935 3.18% 89.0 597s
38650 6467 0.72611 41 211 0.70685 0.72904 3.14% 89.9 600s
Cutting planes:
Gomory: 256
Cover: 8
Implied bound: 46
Projected implied bound: 65
Clique: 1
MIR: 222
StrongCG: 4
Flow cover: 693
Inf proof: 60
Zero half: 7
Explored 38809 nodes (3507566 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.706848 0.706848 0.706848
Time limit reached
Warning: max constraint violation (6.6760e-06) exceeds tolerance
Best objective 7.068478745208e-01, best bound 7.290449645489e-01, gap 3.1403%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpppmf816e.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3yq4puc9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.70296
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 9.200708e-01, 1254 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92007 0 123 0.70296 0.92007 30.9% - 0s
0 0 0.88730 0 138 0.70296 0.88730 26.2% - 0s
0 0 0.88729 0 139 0.70296 0.88729 26.2% - 0s
0 0 0.88226 0 149 0.70296 0.88226 25.5% - 0s
0 0 0.88223 0 146 0.70296 0.88223 25.5% - 0s
0 0 0.88107 0 153 0.70296 0.88107 25.3% - 0s
0 0 0.88089 0 153 0.70296 0.88089 25.3% - 0s
0 0 0.88063 0 157 0.70296 0.88063 25.3% - 0s
0 0 0.88063 0 157 0.70296 0.88063 25.3% - 0s
0 0 0.88048 0 155 0.70296 0.88048 25.3% - 0s
0 0 0.88046 0 155 0.70296 0.88046 25.3% - 0s
0 0 0.88045 0 155 0.70296 0.88045 25.2% - 0s
0 0 0.88045 0 147 0.70296 0.88045 25.2% - 0s
0 2 0.88045 0 146 0.70296 0.88045 25.2% - 0s
748 544 0.80820 15 154 0.70296 0.80820 15.0% 19.2 5s
2120 839 infeasible 45 0.70296 0.79882 13.6% 22.6 10s
3344 1233 0.75831 37 137 0.70296 0.79009 12.4% 24.2 15s
4914 1751 0.71401 35 135 0.70296 0.78127 11.1% 23.5 20s
6518 1988 infeasible 40 0.70296 0.77460 10.2% 23.8 25s
7836 2184 cutoff 32 0.70296 0.76956 9.47% 23.8 30s
9579 2295 0.71833 45 136 0.70296 0.76268 8.50% 24.1 35s
11956 2716 0.72705 35 158 0.70296 0.75568 7.50% 22.9 40s
H13491 3071 0.7029598 0.75213 6.99% 22.1 43s
13515 3021 0.73404 52 119 0.70296 0.75197 6.97% 22.1 45s
15092 3237 0.72595 44 117 0.70296 0.74807 6.42% 21.4 50s
18176 4099 0.71399 76 106 0.70296 0.74450 5.91% 19.9 55s
20558 4703 0.72423 51 147 0.70296 0.74116 5.43% 19.1 75s
20570 4711 0.70924 70 209 0.70296 0.74116 5.43% 19.1 81s
20575 4714 0.72896 46 228 0.70296 0.74116 5.43% 19.1 85s
20580 4718 0.73231 42 239 0.70296 0.74116 5.43% 19.1 90s
20584 4720 0.72631 50 261 0.70296 0.74116 5.43% 19.1 96s
20587 4722 0.72922 47 262 0.70296 0.74116 5.43% 19.1 100s
20592 4726 0.71155 76 268 0.70296 0.74116 5.43% 19.1 105s
20599 4730 0.73665 32 269 0.70296 0.74116 5.43% 19.1 111s
20605 4734 0.72938 32 256 0.70296 0.74116 5.43% 19.1 116s
20609 4737 0.71291 53 276 0.70296 0.74116 5.43% 19.1 121s
20612 4739 0.73161 50 273 0.70296 0.74116 5.43% 19.1 125s
20617 4742 0.72511 76 278 0.70296 0.74116 5.43% 19.1 130s
20622 4746 0.73221 71 283 0.70296 0.74116 5.43% 19.1 136s
20626 4748 0.72025 82 279 0.70296 0.74116 5.43% 19.1 141s
20629 4750 0.72922 47 290 0.70296 0.74116 5.43% 19.1 145s
20633 4753 0.73967 49 286 0.70296 0.74116 5.43% 19.1 150s
20637 4756 0.73133 44 280 0.70296 0.74116 5.43% 19.1 155s
20642 4759 0.71658 53 245 0.70296 0.74116 5.43% 19.0 161s
20646 4762 0.72148 48 276 0.70296 0.74116 5.43% 19.0 166s
20649 4764 0.71290 56 290 0.70296 0.74116 5.43% 19.0 170s
20653 4766 0.72768 51 271 0.70296 0.74116 5.43% 19.0 175s
20656 4768 0.73849 42 260 0.70296 0.74116 5.43% 19.0 180s
20660 4771 0.73947 52 254 0.70296 0.74116 5.43% 19.0 185s
20663 4773 0.70372 93 266 0.70296 0.74116 5.43% 19.0 190s
20666 4775 0.73001 66 277 0.70296 0.74116 5.43% 19.0 195s
20669 4777 0.71347 50 272 0.70296 0.74116 5.43% 19.0 200s
20673 4780 0.71278 57 266 0.70296 0.74116 5.43% 19.0 205s
20676 4782 0.70373 54 264 0.70296 0.74116 5.43% 19.0 212s
20679 4784 0.73545 34 273 0.70296 0.74116 5.43% 19.0 215s
20682 4786 0.73374 39 272 0.70296 0.74116 5.43% 19.0 220s
20687 4789 0.72922 47 272 0.70296 0.74116 5.43% 19.0 225s
20691 4792 0.71273 52 266 0.70296 0.74116 5.43% 19.0 230s
20697 4796 0.70646 47 287 0.70296 0.74116 5.43% 19.0 235s
20700 4798 0.73086 61 285 0.70296 0.74116 5.43% 19.0 240s
20704 4800 0.70589 132 271 0.70296 0.74116 5.43% 19.0 245s
20709 4804 0.71291 53 289 0.70296 0.74116 5.43% 19.0 250s
20712 4806 0.73161 50 275 0.70296 0.74116 5.43% 19.0 255s
20718 4810 0.71026 89 267 0.70296 0.74116 5.43% 19.0 260s
20723 4813 0.72112 83 286 0.70296 0.74116 5.43% 19.0 265s
20726 4815 0.72025 82 282 0.70296 0.74116 5.43% 19.0 270s
20729 4820 0.74116 28 270 0.70296 0.74116 5.43% 21.0 279s
20731 4821 0.74116 29 244 0.70296 0.74116 5.43% 21.0 286s
20756 4827 0.74116 35 246 0.70296 0.74116 5.43% 21.4 290s
20827 4824 infeasible 48 0.70296 0.74116 5.43% 21.9 295s
20988 4868 0.74116 34 253 0.70296 0.74116 5.43% 22.8 300s
21080 4890 0.74116 34 251 0.70296 0.74116 5.43% 23.4 305s
21338 4965 0.74116 35 244 0.70296 0.74116 5.43% 24.6 310s
21603 5024 0.70307 38 204 0.70296 0.74116 5.43% 25.6 315s
21825 5031 0.74116 35 247 0.70296 0.74116 5.43% 26.8 320s
22075 5079 0.73480 35 216 0.70296 0.74116 5.43% 27.8 325s
22392 5098 cutoff 38 0.70296 0.74116 5.43% 29.0 330s
22650 5099 0.70934 43 152 0.70296 0.74116 5.43% 30.1 335s
22933 5092 0.72018 43 197 0.70296 0.74116 5.43% 31.4 340s
23126 5106 0.73657 46 199 0.70296 0.74116 5.43% 32.3 345s
23512 5175 0.71209 54 160 0.70296 0.74116 5.43% 33.2 350s
23860 5208 cutoff 53 0.70296 0.74054 5.35% 34.4 356s
24187 5266 0.71417 43 169 0.70296 0.73917 5.15% 35.3 361s
24525 5299 0.71547 42 221 0.70296 0.73859 5.07% 36.3 366s
24879 5317 0.71952 52 175 0.70296 0.73755 4.92% 37.5 372s
25024 5297 cutoff 47 0.70296 0.73740 4.90% 38.3 375s
25377 5289 infeasible 47 0.70296 0.73670 4.80% 39.6 381s
25519 5276 cutoff 55 0.70296 0.73661 4.79% 40.1 385s
25924 5344 0.70416 61 140 0.70296 0.73620 4.73% 40.9 393s
25937 5346 0.73032 43 190 0.70296 0.73620 4.73% 41.0 398s
25982 5336 0.72674 55 175 0.70296 0.73603 4.71% 41.1 402s
26299 5403 0.72248 42 186 0.70296 0.73575 4.66% 41.6 406s
26577 5438 cutoff 44 0.70296 0.73542 4.62% 42.4 410s
27071 5466 0.72763 54 196 0.70296 0.73480 4.53% 43.8 418s
27401 5503 0.73217 42 215 0.70296 0.73473 4.52% 44.5 423s
27700 5506 cutoff 52 0.70296 0.73436 4.47% 45.3 427s
27983 5524 infeasible 48 0.70296 0.73417 4.44% 46.1 432s
28328 5549 0.72479 51 208 0.70296 0.73370 4.37% 46.8 437s
28667 5573 0.72030 72 160 0.70296 0.73343 4.33% 47.6 442s
29032 5599 cutoff 67 0.70296 0.73311 4.29% 48.5 448s
29217 5607 0.71274 70 152 0.70296 0.73285 4.25% 49.0 453s
29568 5616 cutoff 71 0.70296 0.73270 4.23% 49.9 459s
29976 5595 0.70971 73 155 0.70296 0.73244 4.19% 50.7 465s
30338 5606 0.70650 54 195 0.70296 0.73207 4.14% 51.8 471s
30695 5586 cutoff 49 0.70296 0.73190 4.12% 52.7 477s
31141 5612 0.72327 51 197 0.70296 0.73167 4.08% 53.6 483s
31569 5599 0.71053 62 163 0.70296 0.73149 4.06% 54.6 490s
31923 5562 cutoff 51 0.70296 0.73135 4.04% 55.7 496s
32365 5562 0.70703 51 184 0.70296 0.73113 4.01% 56.6 502s
32828 5568 0.71615 52 194 0.70296 0.73105 4.00% 57.3 508s
33044 5558 0.71119 46 194 0.70296 0.73075 3.95% 57.9 514s
33381 5519 0.71404 43 190 0.70296 0.73060 3.93% 58.9 520s
33828 5509 infeasible 63 0.70296 0.73045 3.91% 59.7 526s
34270 5510 0.71610 92 139 0.70296 0.73023 3.88% 60.5 532s
34598 5460 0.71701 52 181 0.70296 0.73011 3.86% 61.3 539s
34986 5454 0.72331 55 185 0.70296 0.72983 3.82% 62.1 545s
35347 5488 0.71821 42 214 0.70296 0.72970 3.80% 63.0 551s
35695 5575 0.71321 52 180 0.70296 0.72956 3.78% 63.9 558s
36068 5642 0.71045 48 176 0.70296 0.72944 3.77% 64.9 564s
36446 5742 0.72839 47 199 0.70296 0.72918 3.73% 65.9 570s
36649 5765 0.72434 49 180 0.70296 0.72902 3.71% 66.7 575s
36956 5837 cutoff 45 0.70296 0.72894 3.70% 67.6 582s
37277 5887 0.70538 43 201 0.70296 0.72879 3.67% 68.6 588s
37587 5911 0.72029 67 183 0.70296 0.72871 3.66% 69.5 594s
37957 5989 0.70792 65 172 0.70296 0.72860 3.65% 70.4 600s
Cutting planes:
Gomory: 199
Cover: 5
Implied bound: 38
Projected implied bound: 67
Clique: 1
MIR: 206
StrongCG: 2
Flow cover: 598
Inf proof: 13
Zero half: 2
Explored 38256 nodes (2726088 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.70296 0.70296
Time limit reached
Best objective 7.029597545674e-01, best bound 7.285280153805e-01, gap 3.6372%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2uzy9o2i.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxfcfyo1r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.693745
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 9.094789e-01, 1271 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90948 0 126 0.69375 0.90948 31.1% - 0s
0 0 0.87742 0 141 0.69375 0.87742 26.5% - 0s
0 0 0.87741 0 142 0.69375 0.87741 26.5% - 0s
0 0 0.87133 0 143 0.69375 0.87133 25.6% - 0s
0 0 0.87132 0 143 0.69375 0.87132 25.6% - 0s
0 0 0.87041 0 147 0.69375 0.87041 25.5% - 0s
0 0 0.87021 0 147 0.69375 0.87021 25.4% - 0s
0 0 0.86990 0 145 0.69375 0.86990 25.4% - 0s
0 0 0.86988 0 143 0.69375 0.86988 25.4% - 0s
0 0 0.86988 0 143 0.69375 0.86988 25.4% - 0s
0 0 0.86988 0 142 0.69375 0.86988 25.4% - 0s
0 2 0.86988 0 140 0.69375 0.86988 25.4% - 0s
767 539 0.80354 15 158 0.69375 0.80354 15.8% 19.3 5s
1560 653 0.76394 39 140 0.69375 0.79578 14.7% 24.8 10s
2575 669 cutoff 56 0.69375 0.77718 12.0% 29.6 15s
3451 899 0.71373 38 141 0.69375 0.76703 10.6% 30.8 20s
4543 1063 infeasible 43 0.69375 0.75963 9.50% 31.0 25s
6137 1382 0.70871 47 134 0.69375 0.75231 8.44% 30.8 30s
7298 1442 cutoff 37 0.69375 0.74734 7.73% 31.4 35s
8846 1604 0.70998 55 129 0.69375 0.74180 6.93% 31.4 40s
10414 1891 0.69579 65 105 0.69375 0.73756 6.32% 30.3 45s
12269 2167 0.72393 50 133 0.69375 0.73346 5.72% 29.5 50s
H13170 2351 0.6937453 0.73099 5.37% 29.3 53s
13196 2360 0.69587 55 121 0.69375 0.73099 5.37% 29.3 55s
14606 2552 cutoff 64 0.69375 0.72781 4.91% 28.9 61s
15968 2838 0.71014 61 123 0.69375 0.72546 4.57% 28.4 65s
18373 3613 0.71899 45 142 0.69375 0.72294 4.21% 27.1 70s
21101 4720 0.71023 57 117 0.69375 0.72186 4.05% 25.6 89s
21418 4784 0.71207 77 99 0.69375 0.72150 4.00% 25.6 90s
22860 5184 cutoff 42 0.69375 0.72080 3.90% 25.7 95s
24525 5604 0.70368 37 154 0.69375 0.71996 3.78% 26.1 100s
26065 6006 0.69867 87 111 0.69375 0.71942 3.70% 26.2 105s
27810 6440 0.70491 121 85 0.69375 0.71877 3.61% 26.5 110s
29039 6614 cutoff 78 0.69375 0.71824 3.53% 26.9 115s
30858 6941 0.71005 79 106 0.69375 0.71773 3.46% 27.1 120s
32309 7201 0.69570 100 84 0.69375 0.71729 3.39% 27.3 125s
33872 7615 0.71563 63 127 0.69375 0.71692 3.34% 27.4 130s
35415 7942 cutoff 66 0.69375 0.71650 3.28% 27.5 135s
37290 8445 cutoff 57 0.69375 0.71599 3.21% 27.6 140s
38500 8757 0.70813 69 124 0.69375 0.71567 3.16% 27.7 145s
40611 9197 0.71113 89 107 0.69375 0.71523 3.10% 27.9 150s
41917 9503 0.70253 86 94 0.69375 0.71492 3.05% 27.8 155s
43408 9893 0.70600 98 76 0.69375 0.71460 3.01% 27.8 160s
45960 10685 0.70191 71 128 0.69375 0.71429 2.96% 27.5 165s
47793 11286 cutoff 131 0.69375 0.71403 2.92% 27.4 171s
48513 11383 0.70976 68 128 0.69375 0.71394 2.91% 27.5 175s
50198 11834 0.70317 49 144 0.69375 0.71374 2.88% 27.4 180s
52038 12450 0.69911 69 135 0.69375 0.71356 2.86% 27.4 185s
54135 13093 0.70691 62 149 0.69375 0.71332 2.82% 27.2 190s
55818 13584 0.70237 109 80 0.69375 0.71310 2.79% 27.1 195s
57450 14082 0.70127 120 81 0.69375 0.71291 2.76% 27.1 200s
59302 14703 0.70389 92 106 0.69375 0.71274 2.74% 27.0 205s
61464 15466 cutoff 68 0.69375 0.71258 2.72% 26.9 210s
63553 16044 0.69956 74 142 0.69375 0.71241 2.69% 26.7 215s
65172 16335 0.70971 98 105 0.69375 0.71229 2.67% 26.7 220s
67226 16896 0.69656 64 127 0.69375 0.71209 2.64% 26.6 225s
68995 17345 0.69574 87 112 0.69375 0.71193 2.62% 26.6 230s
70359 17511 0.70728 66 139 0.69375 0.71175 2.59% 26.6 235s
71952 17836 0.69446 108 81 0.69375 0.71160 2.57% 26.7 241s
72840 18001 0.70641 112 87 0.69375 0.71151 2.56% 26.7 245s
74440 18335 0.71129 102 101 0.69375 0.71134 2.54% 26.7 250s
76037 18849 0.71033 90 97 0.69375 0.71123 2.52% 26.6 255s
78344 19411 0.69675 123 59 0.69375 0.71102 2.49% 26.6 260s
80472 20088 0.70617 71 130 0.69375 0.71091 2.47% 26.5 265s
82390 20699 0.69949 84 139 0.69375 0.71077 2.45% 26.4 270s
84075 21161 cutoff 106 0.69375 0.71060 2.43% 26.4 275s
85860 21579 0.69835 105 96 0.69375 0.71046 2.41% 26.3 280s
87735 22090 0.70698 97 94 0.69375 0.71036 2.40% 26.3 285s
89381 22415 0.69433 108 103 0.69375 0.71022 2.38% 26.3 290s
91175 22806 0.70239 73 140 0.69375 0.71009 2.36% 26.3 295s
92792 23084 0.70679 122 89 0.69375 0.70993 2.33% 26.3 300s
94517 23372 0.69996 91 108 0.69375 0.70980 2.31% 26.3 305s
95477 23646 0.70550 78 135 0.69375 0.70978 2.31% 26.3 310s
97235 24203 infeasible 135 0.69375 0.70962 2.29% 26.2 315s
99250 24744 0.70000 71 133 0.69375 0.70956 2.28% 26.2 320s
101216 25166 cutoff 68 0.69375 0.70936 2.25% 26.1 326s
102415 25274 cutoff 66 0.69375 0.70926 2.24% 26.1 330s
103759 25531 0.70050 114 79 0.69375 0.70918 2.22% 26.1 335s
105416 25833 0.70713 69 119 0.69375 0.70906 2.21% 26.1 340s
107576 26341 0.70384 91 113 0.69375 0.70895 2.19% 26.1 345s
109182 26699 cutoff 83 0.69375 0.70886 2.18% 26.0 350s
111041 27090 0.69433 121 74 0.69375 0.70875 2.16% 26.0 355s
113311 27667 0.69667 142 57 0.69375 0.70866 2.15% 25.9 360s
115200 28080 0.70119 78 121 0.69375 0.70854 2.13% 25.8 365s
117062 28517 0.70440 72 132 0.69375 0.70847 2.12% 25.8 370s
118263 28770 cutoff 71 0.69375 0.70839 2.11% 25.8 375s
119466 28927 0.70666 71 138 0.69375 0.70831 2.10% 25.8 380s
121216 29234 0.69436 66 129 0.69375 0.70822 2.09% 25.8 385s
123015 29715 0.70758 102 104 0.69375 0.70817 2.08% 25.8 390s
124939 30073 0.69441 107 102 0.69375 0.70808 2.07% 25.8 395s
126607 30358 0.70376 109 67 0.69375 0.70803 2.06% 25.8 400s
128813 30828 cutoff 100 0.69375 0.70792 2.04% 25.7 405s
130204 31121 cutoff 113 0.69375 0.70786 2.03% 25.7 410s
132282 31629 cutoff 109 0.69375 0.70777 2.02% 25.7 415s
134213 31969 cutoff 133 0.69375 0.70769 2.01% 25.7 420s
135761 32204 0.69856 100 119 0.69375 0.70762 2.00% 25.7 425s
137764 32604 cutoff 111 0.69375 0.70753 1.99% 25.7 430s
139356 32812 cutoff 92 0.69375 0.70745 1.98% 25.7 436s
140185 32831 cutoff 123 0.69375 0.70740 1.97% 25.7 440s
141846 33016 0.69603 100 95 0.69375 0.70730 1.95% 25.8 445s
143301 33324 0.70063 104 83 0.69375 0.70723 1.94% 25.7 450s
145289 33745 0.70631 122 79 0.69375 0.70715 1.93% 25.7 456s
147061 34194 cutoff 63 0.69375 0.70708 1.92% 25.7 460s
148513 34456 0.70377 61 165 0.69375 0.70701 1.91% 25.7 465s
150710 34964 0.69499 141 52 0.69375 0.70694 1.90% 25.7 470s
152562 35274 0.69708 113 78 0.69375 0.70688 1.89% 25.7 475s
153609 35451 0.69579 70 142 0.69375 0.70682 1.89% 25.7 480s
155468 35690 0.69506 126 74 0.69375 0.70673 1.87% 25.7 485s
157461 35950 cutoff 122 0.69375 0.70666 1.86% 25.7 490s
159193 36123 0.70156 105 76 0.69375 0.70660 1.85% 25.7 495s
160591 36296 cutoff 71 0.69375 0.70654 1.84% 25.8 500s
162048 36473 cutoff 103 0.69375 0.70648 1.84% 25.8 505s
164152 36764 cutoff 65 0.69375 0.70642 1.83% 25.7 510s
165614 36910 0.69984 82 126 0.69375 0.70636 1.82% 25.7 515s
167500 37130 cutoff 129 0.69375 0.70632 1.81% 25.7 520s
169088 37372 0.69979 78 147 0.69375 0.70626 1.80% 25.7 525s
171080 37684 cutoff 100 0.69375 0.70619 1.79% 25.7 530s
172822 37885 0.69482 152 59 0.69375 0.70612 1.78% 25.8 535s
173901 37992 0.70239 113 91 0.69375 0.70608 1.78% 25.8 540s
175473 38286 cutoff 123 0.69375 0.70602 1.77% 25.8 545s
177467 38539 infeasible 69 0.69375 0.70594 1.76% 25.8 550s
179122 38810 infeasible 87 0.69375 0.70588 1.75% 25.7 555s
180914 38989 0.69587 115 68 0.69375 0.70581 1.74% 25.7 560s
182312 39096 0.69972 73 141 0.69375 0.70575 1.73% 25.8 565s
184332 39345 infeasible 70 0.69375 0.70570 1.72% 25.8 570s
186225 39569 cutoff 69 0.69375 0.70563 1.71% 25.8 576s
187646 39705 0.70457 114 76 0.69375 0.70556 1.70% 25.8 580s
189354 39955 0.70303 75 134 0.69375 0.70551 1.70% 25.7 585s
191038 40035 0.69871 87 128 0.69375 0.70546 1.69% 25.8 590s
193109 40353 0.70009 137 66 0.69375 0.70540 1.68% 25.8 595s
195198 40705 cutoff 62 0.69375 0.70532 1.67% 25.7 600s
Cutting planes:
Gomory: 153
Cover: 2
Implied bound: 119
Projected implied bound: 34
MIR: 33
Flow cover: 168
Inf proof: 524
Explored 195200 nodes (5025320 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.693745 0.693745
Time limit reached
Best objective 6.937452906352e-01, best bound 7.053178609156e-01, gap 1.6681%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgvxrsp_f.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy38hd0gr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.684859
Presolve removed 816 rows and 528 columns
Presolve time: 0.04s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 8.958878e-01, 1291 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89589 0 127 0.68486 0.89589 30.8% - 0s
0 0 0.84617 0 131 0.68486 0.84617 23.6% - 0s
0 0 0.84616 0 132 0.68486 0.84616 23.6% - 0s
0 0 0.84214 0 151 0.68486 0.84214 23.0% - 0s
0 0 0.84131 0 146 0.68486 0.84131 22.8% - 0s
0 0 0.84010 0 152 0.68486 0.84010 22.7% - 0s
0 0 0.83992 0 161 0.68486 0.83992 22.6% - 0s
0 0 0.83971 0 161 0.68486 0.83971 22.6% - 0s
0 0 0.83952 0 159 0.68486 0.83952 22.6% - 0s
0 0 0.83952 0 149 0.68486 0.83952 22.6% - 0s
0 2 0.83952 0 148 0.68486 0.83952 22.6% - 0s
767 527 0.70798 25 151 0.68486 0.80583 17.7% 18.3 5s
1512 762 0.69452 56 126 0.68486 0.78507 14.6% 23.4 10s
2652 869 0.68796 36 147 0.68486 0.76415 11.6% 27.2 15s
3955 1107 0.70822 46 138 0.68486 0.75380 10.1% 28.7 20s
5178 1433 cutoff 52 0.68486 0.74673 9.03% 28.9 25s
6422 1750 0.71290 38 124 0.68486 0.74101 8.20% 28.8 30s
7355 1895 cutoff 40 0.68486 0.73819 7.79% 29.5 35s
8870 2161 cutoff 41 0.68486 0.73478 7.29% 29.5 40s
10024 2298 0.71722 42 138 0.68486 0.73095 6.73% 29.7 45s
11292 2460 cutoff 41 0.68486 0.72802 6.30% 29.7 50s
12847 2649 cutoff 52 0.68486 0.72429 5.76% 30.0 55s
H12925 2662 0.6848590 0.72413 5.73% 30.0 55s
13840 2717 0.71351 47 126 0.68486 0.72207 5.43% 29.9 60s
14817 2871 0.69187 52 123 0.68486 0.72125 5.31% 29.6 65s
16634 3057 0.69598 27 149 0.68486 0.71878 4.95% 29.3 70s
17866 3207 0.70569 42 138 0.68486 0.71705 4.70% 29.2 75s
19641 3458 0.70240 48 123 0.68486 0.71501 4.40% 29.1 80s
20851 3522 cutoff 53 0.68486 0.71340 4.17% 29.2 100s
21954 3628 cutoff 46 0.68486 0.71243 4.03% 29.8 105s
22661 3670 infeasible 45 0.68486 0.71138 3.87% 30.5 110s
23691 3756 cutoff 42 0.68486 0.71041 3.73% 31.2 115s
24551 3905 0.69420 103 83 0.68486 0.70963 3.62% 31.6 120s
25950 4199 infeasible 66 0.68486 0.70898 3.52% 31.8 126s
26925 4401 infeasible 73 0.68486 0.70816 3.40% 32.1 130s
28170 4794 0.69664 76 115 0.68486 0.70795 3.37% 32.0 135s
29665 5354 0.68995 84 114 0.68486 0.70763 3.32% 31.5 140s
31612 6023 cutoff 45 0.68486 0.70738 3.29% 31.1 146s
32910 6302 0.70052 72 129 0.68486 0.70710 3.25% 31.0 150s
34122 6560 0.70616 61 137 0.68486 0.70678 3.20% 31.1 155s
35326 6844 0.70581 65 133 0.68486 0.70647 3.16% 31.1 160s
36965 7280 0.69185 56 170 0.68486 0.70617 3.11% 31.1 166s
38090 7513 0.69014 47 160 0.68486 0.70595 3.08% 31.2 170s
39222 7706 0.70312 61 133 0.68486 0.70574 3.05% 31.3 175s
40331 7937 0.68659 90 81 0.68486 0.70546 3.01% 31.4 181s
41507 8184 cutoff 61 0.68486 0.70526 2.98% 31.5 186s
42610 8341 infeasible 80 0.68486 0.70497 2.94% 31.6 190s
43696 8480 cutoff 82 0.68486 0.70460 2.88% 31.8 195s
44858 8640 0.69477 86 113 0.68486 0.70432 2.84% 32.0 200s
45262 8710 infeasible 44 0.68486 0.70414 2.82% 32.0 205s
46501 8876 0.69858 41 161 0.68486 0.70385 2.77% 32.1 211s
47634 8989 0.68946 46 159 0.68486 0.70353 2.73% 32.3 216s
48614 9036 0.70307 64 128 0.68486 0.70327 2.69% 32.6 221s
49420 9143 cutoff 84 0.68486 0.70311 2.67% 32.7 225s
50468 9286 0.69618 34 177 0.68486 0.70289 2.63% 32.7 230s
51742 9447 0.68759 61 126 0.68486 0.70263 2.59% 32.8 236s
52491 9545 cutoff 62 0.68486 0.70250 2.58% 32.9 240s
53667 9655 0.68934 76 107 0.68486 0.70227 2.54% 33.1 245s
54897 9790 infeasible 53 0.68486 0.70202 2.51% 33.2 251s
55741 9915 0.69463 75 117 0.68486 0.70186 2.48% 33.2 255s
57018 10110 0.68898 51 145 0.68486 0.70164 2.45% 33.3 260s
58234 10261 cutoff 64 0.68486 0.70141 2.42% 33.4 266s
59074 10370 cutoff 78 0.68486 0.70127 2.40% 33.4 270s
59882 10462 0.69981 61 146 0.68486 0.70111 2.37% 33.5 275s
61122 10552 0.69215 68 130 0.68486 0.70089 2.34% 33.6 280s
62065 10684 0.68772 87 86 0.68486 0.70071 2.31% 33.6 285s
63215 10749 cutoff 65 0.68486 0.70049 2.28% 33.7 290s
64434 10799 cutoff 63 0.68486 0.70023 2.24% 33.9 296s
65295 10905 0.69654 58 147 0.68486 0.70009 2.22% 33.9 300s
65740 11000 0.68554 80 101 0.68486 0.70001 2.21% 33.9 305s
66634 10977 0.69634 78 111 0.68486 0.69992 2.20% 34.0 311s
67434 11020 0.68967 80 83 0.68486 0.69976 2.18% 34.0 315s
68321 11036 cutoff 90 0.68486 0.69962 2.16% 34.1 320s
69661 11084 cutoff 24 0.68486 0.69939 2.12% 34.2 326s
70632 11137 0.69638 74 120 0.68486 0.69925 2.10% 34.2 330s
71958 11188 0.68960 71 130 0.68486 0.69908 2.08% 34.2 336s
72737 11197 0.69747 72 143 0.68486 0.69893 2.05% 34.3 340s
74076 11262 0.69521 69 135 0.68486 0.69878 2.03% 34.4 346s
74992 11361 cutoff 72 0.68486 0.69865 2.01% 34.4 350s
75844 11404 cutoff 49 0.68486 0.69857 2.00% 34.4 355s
77232 11466 cutoff 74 0.68486 0.69833 1.97% 34.4 361s
78006 11447 0.69756 71 136 0.68486 0.69815 1.94% 34.4 365s
79244 11430 infeasible 77 0.68486 0.69796 1.91% 34.5 370s
80098 11426 0.69688 64 134 0.68486 0.69781 1.89% 34.5 375s
81340 11489 cutoff 67 0.68486 0.69764 1.87% 34.6 380s
82220 11531 infeasible 47 0.68486 0.69751 1.85% 34.6 385s
83611 11608 0.69725 73 112 0.68486 0.69733 1.82% 34.6 390s
84458 11619 cutoff 62 0.68486 0.69720 1.80% 34.6 395s
85727 11653 cutoff 55 0.68486 0.69703 1.78% 34.6 400s
86949 11705 cutoff 46 0.68486 0.69688 1.75% 34.6 406s
87836 11745 cutoff 79 0.68486 0.69680 1.74% 34.7 410s
89196 11809 cutoff 75 0.68486 0.69661 1.72% 34.7 416s
89973 11766 0.69275 73 114 0.68486 0.69654 1.71% 34.7 420s
91025 11646 cutoff 72 0.68486 0.69632 1.67% 34.7 425s
92370 11607 0.68621 79 95 0.68486 0.69616 1.65% 34.8 431s
93152 11574 cutoff 55 0.68486 0.69607 1.64% 34.8 435s
93571 11565 infeasible 53 0.68486 0.69596 1.62% 34.8 440s
94793 11529 0.68705 79 107 0.68486 0.69585 1.60% 34.9 445s
96051 11511 infeasible 74 0.68486 0.69562 1.57% 34.9 451s
97051 11587 cutoff 77 0.68486 0.69551 1.55% 34.8 455s
98287 11536 0.69532 82 121 0.68486 0.69532 1.53% 34.8 461s
99113 11541 0.69519 65 145 0.68486 0.69519 1.51% 34.8 465s
100293 11445 infeasible 63 0.68486 0.69501 1.48% 34.9 470s
101707 11281 0.68701 62 142 0.68486 0.69476 1.45% 34.9 476s
102973 11259 0.69344 56 118 0.68486 0.69459 1.42% 34.9 481s
103999 11162 cutoff 71 0.68486 0.69438 1.39% 34.9 486s
105118 11117 cutoff 57 0.68486 0.69420 1.36% 35.0 491s
106290 11018 cutoff 77 0.68486 0.69407 1.35% 35.0 495s
107542 11035 0.69390 77 108 0.68486 0.69390 1.32% 34.9 500s
109063 10932 infeasible 77 0.68486 0.69364 1.28% 34.9 506s
110312 10889 0.69312 69 137 0.68486 0.69347 1.26% 34.9 510s
111318 10753 0.68672 78 110 0.68486 0.69330 1.23% 34.8 515s
112777 10635 0.69198 68 146 0.68486 0.69306 1.20% 34.8 521s
114107 10703 cutoff 88 0.68486 0.69288 1.17% 34.8 526s
115177 10581 infeasible 87 0.68486 0.69275 1.15% 34.7 530s
116607 10419 0.69202 68 124 0.68486 0.69251 1.12% 34.7 535s
118209 10264 cutoff 60 0.68486 0.69220 1.07% 34.6 540s
119416 10175 infeasible 88 0.68486 0.69198 1.04% 34.6 548s
119930 10077 infeasible 83 0.68486 0.69191 1.03% 34.6 551s
121055 10049 0.68976 64 154 0.68486 0.69173 1.00% 34.5 555s
Cutting planes:
Gomory: 161
Cover: 2
Implied bound: 70
Projected implied bound: 45
MIR: 45
Flow cover: 195
Inf proof: 493
Explored 121318 nodes (4185892 simplex iterations) in 555.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.684859 0.684859
Optimal solution found (tolerance 1.00e-02)
Best objective 6.848589833938e-01, best bound 6.916772728474e-01, gap 0.9956%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1s2223vm.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp98up78k7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.679615
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 8.892735e-01, 1306 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88927 0 132 0.67962 0.88927 30.8% - 0s
0 0 0.83796 0 143 0.67962 0.83796 23.3% - 0s
0 0 0.83793 0 144 0.67962 0.83793 23.3% - 0s
0 0 0.83436 0 147 0.67962 0.83436 22.8% - 0s
0 0 0.83397 0 148 0.67962 0.83397 22.7% - 0s
0 0 0.83256 0 147 0.67962 0.83256 22.5% - 0s
0 0 0.83233 0 149 0.67962 0.83233 22.5% - 0s
0 0 0.83228 0 150 0.67962 0.83228 22.5% - 0s
0 0 0.83228 0 143 0.67962 0.83228 22.5% - 0s
0 2 0.83228 0 143 0.67962 0.83228 22.5% - 0s
752 520 0.79296 10 163 0.67962 0.79296 16.7% 22.2 6s
1301 633 0.72002 25 159 0.67962 0.78274 15.2% 26.1 10s
2824 1112 0.71157 34 151 0.67962 0.76468 12.5% 23.6 15s
4026 1512 cutoff 99 0.67962 0.75329 10.8% 25.5 20s
5454 2014 cutoff 33 0.67962 0.74591 9.76% 26.4 25s
6688 2279 cutoff 38 0.67962 0.74054 8.96% 27.5 30s
7770 2562 cutoff 30 0.67962 0.73761 8.53% 28.0 35s
8827 2778 cutoff 23 0.67962 0.73400 8.00% 28.5 40s
* 9767 2967 214 0.6796205 0.73150 7.63% 28.5 42s
10170 3124 cutoff 37 0.67962 0.73093 7.55% 28.6 45s
11384 3396 0.71476 39 148 0.67962 0.72815 7.14% 28.5 50s
13275 3857 0.70079 35 145 0.67962 0.72438 6.59% 28.3 56s
14370 4133 infeasible 35 0.67962 0.72297 6.38% 28.5 60s
15596 4286 0.68568 44 136 0.67962 0.72076 6.05% 28.8 65s
16968 4570 0.68930 37 167 0.67962 0.71913 5.81% 28.7 70s
17630 4606 cutoff 41 0.67962 0.71800 5.65% 28.9 75s
18961 4990 0.71001 44 136 0.67962 0.71663 5.45% 28.5 80s
20904 5487 0.69025 69 114 0.67962 0.71461 5.15% 28.1 101s
22209 5790 0.70483 37 125 0.67962 0.71327 4.95% 28.2 105s
22538 5873 0.68584 105 113 0.67962 0.71301 4.91% 28.3 110s
23870 6022 0.68339 40 152 0.67962 0.71173 4.72% 28.9 115s
25208 6261 cutoff 39 0.67962 0.71034 4.52% 29.3 120s
26485 6347 0.68752 52 131 0.67962 0.70899 4.32% 29.9 125s
28001 6614 0.70156 76 110 0.67962 0.70766 4.13% 30.2 130s
29299 6812 0.68980 46 132 0.67962 0.70662 3.97% 30.4 135s
31242 7389 cutoff 33 0.67962 0.70566 3.83% 30.3 140s
32755 7829 0.69044 79 114 0.67962 0.70511 3.75% 30.2 145s
34414 8117 0.69813 62 129 0.67962 0.70430 3.63% 30.3 150s
35954 8424 0.69222 93 111 0.67962 0.70360 3.53% 30.4 155s
37929 8928 0.69951 85 94 0.67962 0.70293 3.43% 30.3 160s
40025 9588 0.68127 93 117 0.67962 0.70232 3.34% 30.0 165s
42016 10124 0.69521 53 137 0.67962 0.70174 3.25% 29.9 170s
43251 10444 0.69249 94 99 0.67962 0.70144 3.21% 29.8 175s
45481 11008 cutoff 42 0.67962 0.70107 3.16% 29.6 181s
46818 11348 cutoff 84 0.67962 0.70075 3.11% 29.6 185s
48568 11803 infeasible 87 0.67962 0.70038 3.06% 29.4 190s
50303 12314 infeasible 124 0.67962 0.70013 3.02% 29.3 195s
51793 12513 infeasible 87 0.67962 0.69994 2.99% 29.4 200s
53453 12864 0.68961 83 115 0.67962 0.69961 2.94% 29.5 205s
54918 13106 0.69837 62 138 0.67962 0.69930 2.89% 29.6 210s
56706 13520 cutoff 91 0.67962 0.69909 2.86% 29.5 215s
58243 13795 0.68928 44 139 0.67962 0.69883 2.83% 29.6 220s
60090 14301 0.68022 87 69 0.67962 0.69853 2.78% 29.5 225s
61695 14644 infeasible 67 0.67962 0.69828 2.75% 29.6 230s
62817 14829 0.68422 54 143 0.67962 0.69812 2.72% 29.6 235s
64275 14973 0.68513 38 154 0.67962 0.69791 2.69% 29.8 240s
65751 15016 cutoff 50 0.67962 0.69767 2.66% 29.9 246s
66902 15113 0.68344 68 126 0.67962 0.69746 2.62% 30.0 250s
68170 15344 0.69520 45 169 0.67962 0.69729 2.60% 30.0 255s
69812 15607 0.68864 50 149 0.67962 0.69708 2.57% 30.0 260s
71016 15674 infeasible 86 0.67962 0.69689 2.54% 30.1 265s
72655 15781 cutoff 84 0.67962 0.69663 2.50% 30.2 270s
73934 15980 0.69369 93 119 0.67962 0.69648 2.48% 30.2 276s
74809 15984 cutoff 80 0.67962 0.69636 2.46% 30.3 280s
76158 16140 cutoff 95 0.67962 0.69618 2.44% 30.3 285s
77565 16317 0.68936 39 181 0.67962 0.69601 2.41% 30.3 290s
79276 16631 0.69062 82 130 0.67962 0.69585 2.39% 30.2 295s
80677 16760 0.68104 59 118 0.67962 0.69570 2.37% 30.2 300s
82018 16929 0.67972 79 108 0.67962 0.69554 2.34% 30.2 305s
83312 17037 0.69502 74 105 0.67962 0.69543 2.33% 30.2 310s
85248 17201 0.68769 70 87 0.67962 0.69527 2.30% 30.2 316s
86555 17280 cutoff 73 0.67962 0.69510 2.28% 30.2 320s
88352 17444 0.68965 95 95 0.67962 0.69492 2.25% 30.2 325s
89735 17520 0.69451 96 97 0.67962 0.69473 2.22% 30.2 330s
91537 17709 0.68027 102 102 0.67962 0.69457 2.20% 30.2 336s
92929 17878 cutoff 82 0.67962 0.69446 2.18% 30.2 340s
94192 17955 cutoff 50 0.67962 0.69435 2.17% 30.2 345s
96188 18210 0.68405 91 105 0.67962 0.69414 2.14% 30.1 351s
97522 18357 cutoff 89 0.67962 0.69404 2.12% 30.2 355s
98980 18535 0.68559 70 133 0.67962 0.69390 2.10% 30.1 360s
99965 18723 0.68329 54 140 0.67962 0.69384 2.09% 30.1 365s
101374 18813 0.69369 86 96 0.67962 0.69375 2.08% 30.1 370s
102835 18926 0.69015 80 132 0.67962 0.69362 2.06% 30.1 375s
104166 19022 0.68253 50 134 0.67962 0.69349 2.04% 30.1 380s
106081 19161 cutoff 128 0.67962 0.69336 2.02% 30.1 386s
107543 19326 cutoff 108 0.67962 0.69323 2.00% 30.0 390s
108917 19458 cutoff 78 0.67962 0.69310 1.98% 30.0 395s
110373 19626 cutoff 67 0.67962 0.69300 1.97% 30.0 400s
112126 19709 0.68758 88 123 0.67962 0.69284 1.95% 30.1 405s
113473 19795 0.67982 101 93 0.67962 0.69271 1.93% 30.1 410s
114993 19956 cutoff 73 0.67962 0.69263 1.91% 30.1 415s
116789 20034 cutoff 101 0.67962 0.69249 1.89% 30.1 421s
118151 20082 0.68273 80 98 0.67962 0.69237 1.88% 30.1 425s
119485 20149 cutoff 97 0.67962 0.69226 1.86% 30.1 430s
120808 20212 0.68742 43 115 0.67962 0.69214 1.84% 30.2 435s
122133 20278 cutoff 59 0.67962 0.69203 1.83% 30.2 440s
123393 20241 cutoff 93 0.67962 0.69188 1.80% 30.3 445s
124726 20230 cutoff 65 0.67962 0.69177 1.79% 30.3 450s
126460 20277 0.69156 58 143 0.67962 0.69160 1.76% 30.3 456s
127344 20386 0.68433 98 103 0.67962 0.69155 1.76% 30.4 460s
128214 20259 cutoff 73 0.67962 0.69146 1.74% 30.4 465s
129648 20333 cutoff 102 0.67962 0.69134 1.72% 30.4 470s
131070 20389 0.68898 76 92 0.67962 0.69123 1.71% 30.4 475s
132939 20430 0.69073 106 108 0.67962 0.69108 1.69% 30.5 481s
134222 20432 0.69030 98 114 0.67962 0.69097 1.67% 30.5 485s
135572 20402 cutoff 71 0.67962 0.69086 1.65% 30.5 490s
136745 20364 cutoff 92 0.67962 0.69077 1.64% 30.6 495s
138517 20421 cutoff 87 0.67962 0.69061 1.62% 30.6 500s
139794 20374 0.68223 107 80 0.67962 0.69049 1.60% 30.7 505s
141126 20329 0.68604 45 143 0.67962 0.69041 1.59% 30.7 510s
142703 20328 0.68951 76 132 0.67962 0.69026 1.57% 30.7 516s
143960 20261 cutoff 66 0.67962 0.69013 1.55% 30.7 520s
145311 20206 cutoff 102 0.67962 0.69002 1.53% 30.8 525s
146556 20145 0.68534 101 129 0.67962 0.68990 1.51% 30.8 530s
148140 19994 cutoff 63 0.67962 0.68975 1.49% 30.8 535s
149444 19972 0.68820 51 149 0.67962 0.68966 1.48% 30.9 540s
150761 19949 0.68840 76 121 0.67962 0.68955 1.46% 30.9 545s
151958 19890 cutoff 56 0.67962 0.68945 1.45% 30.9 550s
153755 19963 cutoff 66 0.67962 0.68931 1.43% 30.9 558s
154151 19835 0.68856 65 129 0.67962 0.68927 1.42% 30.9 561s
155275 19718 0.68769 56 138 0.67962 0.68916 1.40% 30.9 565s
156449 19603 0.68905 94 109 0.67962 0.68905 1.39% 30.9 570s
157893 19467 cutoff 38 0.67962 0.68891 1.37% 31.0 575s
159065 19400 cutoff 58 0.67962 0.68878 1.35% 31.0 580s
160423 19227 cutoff 58 0.67962 0.68863 1.33% 31.0 585s
161956 19113 infeasible 106 0.67962 0.68850 1.31% 31.1 590s
163213 18867 cutoff 56 0.67962 0.68836 1.29% 31.1 595s
164519 18695 cutoff 89 0.67962 0.68823 1.27% 31.2 600s
Cutting planes:
Gomory: 167
Cover: 4
Implied bound: 69
Projected implied bound: 33
Clique: 1
MIR: 51
Flow cover: 152
Inf proof: 431
Explored 164684 nodes (5134345 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.679621 0.679615
Time limit reached
Best objective 6.796205260812e-01, best bound 6.882084121147e-01, gap 1.2636%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwd0fk7um.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp99fmo3bb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.674686
Presolve removed 844 rows and 546 columns
Presolve time: 0.06s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.815032e-01, 1310 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88150 0 135 0.67469 0.88150 30.7% - 0s
0 0 0.83322 0 144 0.67469 0.83322 23.5% - 0s
0 0 0.83318 0 145 0.67469 0.83318 23.5% - 0s
0 0 0.82871 0 159 0.67469 0.82871 22.8% - 0s
0 0 0.82824 0 153 0.67469 0.82824 22.8% - 0s
0 0 0.82750 0 153 0.67469 0.82750 22.6% - 0s
0 0 0.82726 0 169 0.67469 0.82726 22.6% - 0s
0 0 0.82710 0 169 0.67469 0.82710 22.6% - 0s
0 0 0.82709 0 169 0.67469 0.82709 22.6% - 0s
0 0 0.82695 0 168 0.67469 0.82695 22.6% - 0s
0 0 0.82695 0 158 0.67469 0.82695 22.6% - 0s
0 2 0.82695 0 157 0.67469 0.82695 22.6% - 0s
737 540 0.74249 48 171 0.67469 0.78585 16.5% 17.9 5s
1430 732 0.73040 44 166 0.67469 0.77469 14.8% 28.5 10s
2747 1235 cutoff 48 0.67469 0.76557 13.5% 28.2 15s
3701 1656 0.72764 36 160 0.67469 0.75794 12.3% 30.6 20s
H 4147 1828 0.6749955 0.75525 11.9% 31.7 24s
4263 1864 0.73873 28 158 0.67500 0.75396 11.7% 32.0 25s
5163 2164 0.69523 37 149 0.67500 0.75093 11.2% 32.8 30s
5911 2395 0.70038 40 149 0.67500 0.74883 10.9% 33.9 35s
7055 2719 0.68613 89 102 0.67500 0.74573 10.5% 35.1 40s
7925 2940 0.69933 37 146 0.67500 0.74284 10.1% 35.5 46s
H 7927 2941 0.6749955 0.74284 10.1% 35.5 46s
8448 2975 0.70299 30 176 0.67500 0.74140 9.84% 36.0 50s
9262 3073 cutoff 35 0.67500 0.73925 9.52% 36.9 55s
10160 3189 cutoff 39 0.67500 0.73726 9.22% 37.5 60s
11239 3368 0.70331 44 154 0.67500 0.73438 8.80% 37.9 65s
12343 3534 0.68272 42 154 0.67500 0.73162 8.39% 38.0 71s
H12734 3587 0.6752207 0.73057 8.20% 38.2 74s
12830 3569 cutoff 39 0.67522 0.73049 8.19% 38.3 76s
13557 3646 0.70918 41 168 0.67522 0.72892 7.95% 38.7 80s
14247 3720 0.69152 38 172 0.67522 0.72775 7.78% 38.8 85s
15372 3873 0.68797 35 164 0.67522 0.72492 7.36% 39.0 91s
16007 3918 0.67986 42 148 0.67522 0.72385 7.20% 39.4 96s
16799 4035 0.69313 35 156 0.67522 0.72212 6.95% 39.4 100s
18094 4213 0.68644 59 134 0.67522 0.72010 6.65% 39.2 106s
18845 4213 0.70061 41 157 0.67522 0.71893 6.47% 39.4 110s
20002 4330 0.68042 35 150 0.67522 0.71683 6.16% 39.4 116s
20856 4459 0.70948 44 158 0.67522 0.71576 6.00% 39.4 136s
20865 4465 0.70175 35 205 0.67522 0.71576 6.00% 39.4 140s
20871 4469 0.70586 37 223 0.67522 0.71576 6.00% 39.4 145s
20877 4473 0.69177 69 250 0.67522 0.71576 6.00% 39.4 150s
20882 4476 0.69181 82 259 0.67522 0.71576 6.00% 39.4 155s
20885 4478 0.70680 31 243 0.67522 0.71576 6.00% 39.4 160s
20890 4482 0.69707 39 270 0.67522 0.71576 6.00% 39.4 165s
20895 4485 0.69026 44 293 0.67522 0.71576 6.00% 39.4 170s
20900 4488 0.68550 68 296 0.67522 0.71576 6.00% 39.3 175s
20904 4491 0.67567 44 281 0.67522 0.71576 6.00% 39.3 180s
20909 4494 0.70968 34 292 0.67522 0.71576 6.00% 39.3 185s
20914 4498 0.69634 39 291 0.67522 0.71576 6.00% 39.3 190s
20920 4502 0.70670 55 283 0.67522 0.71576 6.00% 39.3 195s
20925 4505 0.68543 34 283 0.67522 0.71576 6.00% 39.3 200s
20928 4507 0.68324 49 285 0.67522 0.71576 6.00% 39.3 205s
20933 4510 0.69206 47 301 0.67522 0.71576 6.00% 39.3 210s
20938 4514 0.70807 40 303 0.67522 0.71576 6.00% 39.3 215s
20943 4517 0.70725 48 314 0.67522 0.71576 6.00% 39.3 220s
20947 4520 0.68517 49 307 0.67522 0.71576 6.00% 39.3 225s
20950 4522 0.69823 39 300 0.67522 0.71576 6.00% 39.3 231s
20954 4524 0.68528 50 279 0.67522 0.71576 6.00% 39.2 236s
20958 4527 0.68584 120 288 0.67522 0.71576 6.00% 39.2 241s
20962 4530 0.68274 62 309 0.67522 0.71576 6.00% 39.2 246s
20965 4532 0.70175 35 300 0.67522 0.71576 6.00% 39.2 250s
20970 4535 0.68098 55 301 0.67522 0.71576 6.00% 39.2 257s
20972 4536 0.68434 46 306 0.67522 0.71576 6.00% 39.2 261s
20974 4538 0.67685 66 304 0.67522 0.71576 6.00% 39.2 266s
20976 4539 0.69405 42 295 0.67522 0.71576 6.00% 39.2 270s
20980 4542 0.69766 30 300 0.67522 0.71576 6.00% 39.2 276s
20983 4546 0.70895 26 241 0.67522 0.71576 6.00% 40.5 284s
20985 4544 infeasible 27 0.67522 0.71576 6.00% 40.5 300s
20988 4545 0.71576 28 288 0.67522 0.71576 6.00% 40.6 308s
20990 4546 0.71576 29 279 0.67522 0.71576 6.00% 40.6 317s
21002 4553 0.71576 32 285 0.67522 0.71576 6.00% 40.8 320s
21116 4576 0.69126 66 211 0.67522 0.71576 6.00% 41.2 325s
21276 4586 0.68506 48 236 0.67522 0.71576 6.00% 42.0 330s
21422 4579 0.68270 44 252 0.67522 0.71576 6.00% 43.0 335s
21666 4622 0.71118 40 276 0.67522 0.71576 6.00% 43.9 340s
21921 4634 0.70017 36 260 0.67522 0.71500 5.89% 44.9 345s
22123 4659 cutoff 43 0.67522 0.71472 5.85% 45.8 350s
22346 4681 infeasible 51 0.67522 0.71408 5.76% 47.0 355s
22623 4712 0.69242 52 233 0.67522 0.71313 5.61% 47.9 360s
22946 4796 0.69221 53 206 0.67522 0.71275 5.56% 48.7 365s
23174 4886 0.68454 57 211 0.67522 0.71272 5.55% 48.9 370s
23492 4948 0.69622 54 210 0.67522 0.71241 5.51% 50.0 376s
23706 4968 0.70324 45 243 0.67522 0.71227 5.49% 50.9 381s
23902 4982 0.70190 57 222 0.67522 0.71200 5.45% 51.9 385s
24092 5006 0.68072 49 206 0.67522 0.71192 5.44% 52.6 390s
24361 5030 0.70365 41 255 0.67522 0.71150 5.37% 53.6 396s
24571 5025 0.68672 53 224 0.67522 0.71133 5.35% 54.5 402s
24703 5037 0.70927 47 230 0.67522 0.71119 5.33% 55.2 405s
24999 5067 0.69875 48 212 0.67522 0.71098 5.30% 56.4 411s
25190 5095 cutoff 71 0.67522 0.71093 5.29% 57.0 415s
25396 5128 0.70392 48 218 0.67522 0.71077 5.27% 57.6 420s
25601 5124 infeasible 48 0.67522 0.71071 5.26% 58.6 427s
25800 5156 cutoff 55 0.67522 0.71059 5.24% 59.2 431s
25960 5151 cutoff 65 0.67522 0.71040 5.21% 60.0 437s
26177 5161 0.69859 60 235 0.67522 0.71036 5.20% 60.8 446s
26190 5150 0.69379 61 225 0.67522 0.71031 5.20% 60.8 450s
26545 5147 0.70348 56 243 0.67522 0.70997 5.15% 62.4 458s
26722 5155 cutoff 58 0.67522 0.70976 5.11% 63.3 463s
26888 5127 0.67848 64 173 0.67522 0.70969 5.11% 64.2 468s
27106 5119 0.70242 43 241 0.67522 0.70950 5.08% 65.1 473s
27353 5119 cutoff 58 0.67522 0.70924 5.04% 65.9 478s
27556 5117 0.69379 61 174 0.67522 0.70901 5.00% 66.9 483s
27795 5111 cutoff 50 0.67522 0.70888 4.99% 67.9 489s
28001 5082 0.70136 54 214 0.67522 0.70859 4.94% 69.1 494s
28220 5056 cutoff 54 0.67522 0.70840 4.91% 70.3 500s
28424 5050 0.68922 53 195 0.67522 0.70813 4.87% 71.5 505s
28587 5034 0.69999 50 232 0.67522 0.70795 4.85% 72.2 511s
28895 5075 infeasible 52 0.67522 0.70782 4.83% 73.1 517s
29157 5083 0.69087 70 207 0.67522 0.70754 4.79% 74.2 524s
29523 5126 infeasible 56 0.67522 0.70737 4.76% 75.2 531s
29900 5123 0.68802 66 191 0.67522 0.70724 4.74% 76.2 538s
30235 5089 0.68830 52 210 0.67522 0.70687 4.69% 77.4 545s
30594 5098 cutoff 63 0.67522 0.70662 4.65% 78.5 553s
31080 5105 0.70206 52 234 0.67522 0.70639 4.62% 79.5 561s
31486 5130 0.69055 48 243 0.67522 0.70608 4.57% 80.7 570s
31747 5090 0.69641 49 224 0.67522 0.70594 4.55% 81.7 578s
32279 5141 cutoff 52 0.67522 0.70576 4.52% 82.5 585s
32559 5128 0.68453 51 270 0.67522 0.70552 4.49% 83.6 594s
33049 5140 cutoff 60 0.67522 0.70525 4.45% 84.5 600s
Cutting planes:
Gomory: 251
Cover: 14
Implied bound: 46
Projected implied bound: 69
MIR: 206
StrongCG: 4
Flow cover: 670
Inf proof: 87
Zero half: 1
Explored 33353 nodes (2844718 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.675221 0.674995 0.674995 0.674686
Time limit reached
Best objective 6.752207438860e-01, best bound 7.049973174928e-01, gap 4.4099%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxi_9i37e.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2yj4vnaz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.668216
Presolve removed 858 rows and 555 columns
Presolve time: 0.07s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.716891e-01, 1363 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87169 0 136 0.66822 0.87169 30.5% - 0s
0 0 0.82483 0 143 0.66822 0.82483 23.4% - 0s
0 0 0.82478 0 144 0.66822 0.82478 23.4% - 0s
0 0 0.82042 0 154 0.66822 0.82042 22.8% - 0s
0 0 0.82025 0 147 0.66822 0.82025 22.8% - 0s
0 0 0.81952 0 155 0.66822 0.81952 22.6% - 0s
0 0 0.81929 0 158 0.66822 0.81929 22.6% - 0s
0 0 0.81928 0 153 0.66822 0.81928 22.6% - 0s
0 0 0.81928 0 143 0.66822 0.81928 22.6% - 0s
0 2 0.81928 0 142 0.66822 0.81928 22.6% - 0s
775 571 0.73724 68 154 0.66822 0.78356 17.3% 17.1 5s
1347 697 0.76539 23 151 0.66822 0.77486 16.0% 25.1 10s
2471 915 0.74644 28 148 0.66822 0.75515 13.0% 26.2 15s
3612 1331 0.72268 33 146 0.66822 0.74729 11.8% 27.9 20s
H 4221 1497 0.6682156 0.74407 11.4% 29.1 23s
4437 1582 0.67851 39 145 0.66822 0.74367 11.3% 29.3 25s
5385 1887 cutoff 35 0.66822 0.73787 10.4% 29.9 30s
6399 2033 0.69252 37 135 0.66822 0.73392 9.83% 31.0 35s
7036 2201 0.67886 34 150 0.66822 0.73155 9.48% 31.1 40s
8148 2382 0.69494 35 134 0.66822 0.72763 8.89% 31.6 45s
9451 2567 infeasible 35 0.66822 0.72318 8.23% 31.8 50s
10789 2941 0.68028 41 132 0.66822 0.72040 7.81% 31.2 55s
12038 3068 cutoff 37 0.66822 0.71708 7.31% 31.5 60s
13395 3283 0.68761 35 174 0.66822 0.71411 6.87% 31.2 65s
14733 3492 0.68166 41 131 0.66822 0.71086 6.38% 31.1 70s
16146 3769 cutoff 35 0.66822 0.70838 6.01% 30.7 75s
17426 3976 0.68774 34 148 0.66822 0.70619 5.68% 30.6 80s
18439 4226 cutoff 44 0.66822 0.70506 5.51% 30.2 85s
20318 4633 0.67361 38 142 0.66822 0.70278 5.17% 29.7 90s
20759 4704 0.67520 52 123 0.66822 0.70209 5.07% 29.7 108s
21222 4781 cutoff 38 0.66822 0.70167 5.01% 29.6 110s
22174 5006 cutoff 47 0.66822 0.70079 4.87% 29.7 115s
23108 5191 cutoff 52 0.66822 0.69992 4.74% 30.0 120s
24063 5356 0.68506 43 147 0.66822 0.69916 4.63% 30.3 125s
24993 5501 0.68163 63 136 0.66822 0.69838 4.51% 30.7 130s
26080 5741 0.69177 41 136 0.66822 0.69766 4.41% 30.8 135s
27122 5939 cutoff 40 0.66822 0.69679 4.28% 31.0 140s
28170 6157 cutoff 31 0.66822 0.69608 4.17% 31.2 145s
29294 6380 0.68209 44 134 0.66822 0.69517 4.03% 31.4 150s
30401 6565 cutoff 45 0.66822 0.69444 3.92% 31.6 156s
31182 6714 cutoff 45 0.66822 0.69409 3.87% 31.7 160s
32420 7049 0.69269 50 127 0.66822 0.69340 3.77% 31.8 165s
33368 7305 0.69152 59 111 0.66822 0.69298 3.71% 31.7 170s
34724 7570 0.69073 49 125 0.66822 0.69241 3.62% 31.6 176s
36001 7878 infeasible 40 0.66822 0.69194 3.55% 31.6 181s
36814 8088 0.69103 59 111 0.66822 0.69162 3.50% 31.6 185s
38083 8306 cutoff 52 0.66822 0.69121 3.44% 31.6 190s
39460 8663 infeasible 60 0.66822 0.69082 3.38% 31.4 195s
40702 8955 infeasible 83 0.66822 0.69069 3.36% 31.4 200s
42003 9274 0.68198 68 101 0.66822 0.69048 3.33% 31.4 205s
43334 9574 cutoff 44 0.66822 0.69024 3.30% 31.4 211s
44582 9751 0.67338 52 156 0.66822 0.69003 3.27% 31.4 216s
45524 9954 0.68991 69 115 0.66822 0.68991 3.25% 31.4 221s
45988 9961 cutoff 47 0.66822 0.68981 3.23% 31.5 225s
47125 10137 cutoff 51 0.66822 0.68956 3.19% 31.5 230s
48669 10607 infeasible 73 0.66822 0.68944 3.18% 31.4 235s
50008 10868 0.68548 62 134 0.66822 0.68929 3.15% 31.4 241s
51559 11334 0.66965 49 178 0.66822 0.68905 3.12% 31.2 246s
52718 11675 0.68114 91 83 0.66822 0.68894 3.10% 31.0 250s
54682 12294 cutoff 66 0.66822 0.68871 3.07% 30.8 256s
55623 12511 0.68516 75 110 0.66822 0.68859 3.05% 30.8 260s
57237 12871 cutoff 69 0.66822 0.68836 3.01% 30.7 266s
59083 13502 0.68176 47 148 0.66822 0.68820 2.99% 30.4 270s
60470 13971 infeasible 44 0.66822 0.68810 2.98% 30.3 275s
62466 14670 0.67356 44 168 0.66822 0.68789 2.94% 30.1 280s
63631 14928 0.68119 44 156 0.66822 0.68774 2.92% 30.1 285s
65523 15546 0.67495 50 148 0.66822 0.68759 2.90% 29.9 291s
66812 15866 0.67105 82 136 0.66822 0.68744 2.88% 29.9 295s
67734 16007 cutoff 51 0.66822 0.68731 2.86% 29.9 300s
69072 16207 cutoff 42 0.66822 0.68713 2.83% 30.0 305s
70393 16580 infeasible 83 0.66822 0.68692 2.80% 29.9 310s
71800 17053 cutoff 74 0.66822 0.68681 2.78% 29.8 315s
72606 17235 0.68224 77 92 0.66822 0.68674 2.77% 29.8 321s
73903 17603 0.66958 43 170 0.66822 0.68665 2.76% 29.7 326s
75440 18017 0.67349 90 100 0.66822 0.68653 2.74% 29.7 331s
76725 18302 cutoff 87 0.66822 0.68644 2.73% 29.6 335s
78025 18616 cutoff 85 0.66822 0.68631 2.71% 29.6 340s
79355 18896 0.68464 59 152 0.66822 0.68620 2.69% 29.5 345s
80690 19208 0.68351 43 162 0.66822 0.68607 2.67% 29.5 350s
82056 19561 0.68487 65 125 0.66822 0.68594 2.65% 29.4 355s
83682 19887 cutoff 45 0.66822 0.68576 2.63% 29.5 361s
85080 20244 cutoff 68 0.66822 0.68565 2.61% 29.4 366s
86231 20481 0.67378 92 103 0.66822 0.68553 2.59% 29.4 370s
87501 20775 0.66891 85 98 0.66822 0.68539 2.57% 29.5 375s
88887 21073 0.67981 40 162 0.66822 0.68529 2.55% 29.4 380s
89761 21317 0.67126 92 82 0.66822 0.68523 2.55% 29.4 385s
90734 21514 0.68462 89 110 0.66822 0.68516 2.54% 29.4 391s
92178 21816 cutoff 58 0.66822 0.68506 2.52% 29.3 396s
93330 22181 0.66825 82 87 0.66822 0.68501 2.51% 29.3 400s
94647 22315 0.67882 89 102 0.66822 0.68490 2.50% 29.3 405s
96105 22679 cutoff 80 0.66822 0.68479 2.48% 29.2 410s
97086 22867 0.66835 80 103 0.66822 0.68474 2.47% 29.2 416s
98114 23010 0.67162 103 87 0.66822 0.68467 2.46% 29.2 421s
99290 23110 infeasible 77 0.66822 0.68460 2.45% 29.3 426s
100601 23240 0.67252 46 156 0.66822 0.68447 2.43% 29.3 431s
101427 23278 cutoff 44 0.66822 0.68439 2.42% 29.3 435s
102991 23640 0.68080 39 169 0.66822 0.68431 2.41% 29.3 440s
104402 23929 0.66973 138 49 0.66822 0.68426 2.40% 29.2 445s
105707 24128 cutoff 52 0.66822 0.68415 2.38% 29.2 451s
106630 24311 0.67450 84 103 0.66822 0.68409 2.38% 29.2 455s
108159 24572 0.66936 95 94 0.66822 0.68402 2.36% 29.2 460s
109438 24745 0.67743 76 112 0.66822 0.68392 2.35% 29.2 466s
110361 24878 0.68388 96 103 0.66822 0.68388 2.34% 29.2 470s
111832 25102 cutoff 102 0.66822 0.68375 2.33% 29.2 475s
113202 25357 cutoff 87 0.66822 0.68365 2.31% 29.2 481s
114152 25517 0.67800 48 146 0.66822 0.68359 2.30% 29.2 485s
115764 25881 0.66899 150 39 0.66822 0.68352 2.29% 29.1 490s
116573 25938 cutoff 83 0.66822 0.68347 2.28% 29.1 496s
117449 26022 0.68341 91 113 0.66822 0.68341 2.27% 29.2 500s
118973 26376 cutoff 90 0.66822 0.68334 2.26% 29.1 506s
119900 26554 infeasible 56 0.66822 0.68330 2.26% 29.1 510s
121367 26784 0.67230 85 93 0.66822 0.68323 2.25% 29.1 516s
122372 26975 0.67290 92 104 0.66822 0.68317 2.24% 29.1 520s
123838 27258 0.66971 98 76 0.66822 0.68309 2.23% 29.1 526s
124931 27554 cutoff 46 0.66822 0.68308 2.22% 29.0 530s
126383 27811 cutoff 99 0.66822 0.68298 2.21% 29.0 536s
127457 28000 0.67051 107 106 0.66822 0.68294 2.20% 29.0 540s
128928 28215 0.67932 74 112 0.66822 0.68286 2.19% 29.0 545s
130371 28474 0.68275 98 97 0.66822 0.68278 2.18% 29.0 551s
131320 28646 cutoff 71 0.66822 0.68273 2.17% 29.0 555s
132740 28867 0.67612 63 138 0.66822 0.68268 2.16% 28.9 560s
134237 29133 infeasible 51 0.66822 0.68263 2.16% 28.9 566s
135275 29315 0.67471 109 102 0.66822 0.68258 2.15% 28.9 570s
136698 29519 0.68120 77 121 0.66822 0.68251 2.14% 28.9 575s
138179 29760 0.67954 66 129 0.66822 0.68246 2.13% 28.9 581s
139637 29979 0.67895 84 119 0.66822 0.68240 2.12% 28.9 586s
140613 30152 0.66882 124 83 0.66822 0.68236 2.12% 28.9 590s
141958 30313 0.67703 79 133 0.66822 0.68228 2.10% 28.9 595s
142533 30405 0.67487 41 153 0.66822 0.68225 2.10% 28.9 600s
Cutting planes:
Gomory: 176
Cover: 5
Implied bound: 79
Projected implied bound: 40
MIR: 39
Flow cover: 158
Inf proof: 463
Explored 142541 nodes (4125887 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.668216 0.668216
Time limit reached
Best objective 6.682156429420e-01, best bound 6.822458193022e-01, gap 2.0996%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpukqv8xgv.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeq0qy3ge.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.661817
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 8.619900e-01, 1394 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86199 0 140 0.66182 0.86199 30.2% - 0s
0 0 0.81716 0 148 0.66182 0.81716 23.5% - 0s
0 0 0.81711 0 149 0.66182 0.81711 23.5% - 0s
0 0 0.81249 0 160 0.66182 0.81249 22.8% - 0s
0 0 0.81245 0 158 0.66182 0.81245 22.8% - 0s
0 0 0.81156 0 167 0.66182 0.81156 22.6% - 0s
0 0 0.81137 0 165 0.66182 0.81137 22.6% - 0s
0 0 0.81118 0 167 0.66182 0.81118 22.6% - 0s
0 0 0.81118 0 167 0.66182 0.81118 22.6% - 0s
0 0 0.81108 0 165 0.66182 0.81108 22.6% - 0s
0 0 0.81108 0 152 0.66182 0.81108 22.6% - 0s
0 2 0.81108 0 151 0.66182 0.81108 22.6% - 0s
780 554 0.77313 10 177 0.66182 0.77313 16.8% 20.9 6s
1655 820 0.66867 44 146 0.66182 0.74792 13.0% 21.2 10s
2658 922 0.70072 41 156 0.66182 0.73279 10.7% 26.9 15s
3720 1258 0.66298 49 143 0.66182 0.72731 9.90% 30.1 20s
4515 1414 0.67964 29 170 0.66182 0.72520 9.58% 32.1 26s
5487 1766 cutoff 30 0.66182 0.72307 9.26% 32.0 30s
6477 2031 0.69522 40 151 0.66182 0.72140 9.00% 32.8 35s
7401 2254 0.67619 33 141 0.66182 0.71982 8.76% 32.9 40s
8506 2478 cutoff 41 0.66182 0.71761 8.43% 33.6 45s
9873 2863 cutoff 46 0.66182 0.71557 8.12% 33.5 50s
11009 3060 0.67560 43 135 0.66182 0.71330 7.78% 33.9 55s
12338 3370 0.66595 50 144 0.66182 0.71121 7.46% 33.8 60s
H13093 3527 0.6618170 0.70993 7.27% 34.0 64s
13140 3531 0.67196 40 148 0.66182 0.70987 7.26% 34.1 66s
14010 3645 infeasible 43 0.66182 0.70853 7.06% 34.2 71s
14867 3730 0.69021 44 147 0.66182 0.70718 6.85% 34.3 75s
16067 3832 0.68169 62 134 0.66182 0.70513 6.54% 34.7 80s
17297 3986 cutoff 39 0.66182 0.70321 6.25% 34.8 85s
18629 4113 0.69322 30 193 0.66182 0.70121 5.95% 34.8 90s
19883 4237 0.66938 31 170 0.66182 0.69906 5.63% 34.9 95s
20738 4376 0.67697 35 162 0.66182 0.69794 5.46% 34.8 114s
21170 4523 cutoff 65 0.66182 0.69738 5.37% 34.6 116s
21791 4642 0.66793 48 139 0.66182 0.69651 5.24% 34.9 121s
22103 4655 cutoff 43 0.66182 0.69630 5.21% 35.1 125s
23109 4890 infeasible 53 0.66182 0.69552 5.09% 35.6 130s
23984 5012 0.66738 45 129 0.66182 0.69440 4.92% 36.4 135s
25012 5176 0.68461 79 122 0.66182 0.69334 4.76% 36.9 140s
26162 5480 infeasible 76 0.66182 0.69242 4.62% 37.2 145s
27317 5759 infeasible 37 0.66182 0.69156 4.49% 37.5 151s
28639 6183 0.67875 67 136 0.66182 0.69078 4.38% 37.4 156s
29878 6513 0.67210 87 125 0.66182 0.68977 4.22% 37.5 161s
30618 6684 0.67344 71 128 0.66182 0.68924 4.14% 37.7 165s
31478 6964 cutoff 85 0.66182 0.68894 4.10% 37.6 170s
32696 7257 0.68452 61 144 0.66182 0.68821 3.99% 37.7 175s
33836 7550 0.67827 73 117 0.66182 0.68764 3.90% 37.6 180s
35043 7885 cutoff 23 0.66182 0.68702 3.81% 37.6 186s
35977 8128 0.68138 70 121 0.66182 0.68672 3.76% 37.5 190s
37581 8589 0.68621 68 121 0.66182 0.68626 3.69% 37.4 195s
39078 8993 cutoff 66 0.66182 0.68567 3.60% 37.1 201s
40534 9359 0.66597 58 132 0.66182 0.68531 3.55% 37.0 205s
42149 9894 cutoff 51 0.66182 0.68489 3.49% 36.7 210s
43727 10499 cutoff 87 0.66182 0.68460 3.44% 36.2 216s
45192 10979 cutoff 46 0.66182 0.68429 3.40% 36.0 220s
46473 11361 0.68370 78 118 0.66182 0.68398 3.35% 35.9 225s
48318 11904 cutoff 81 0.66182 0.68369 3.31% 35.7 230s
49557 12204 infeasible 118 0.66182 0.68348 3.27% 35.6 235s
50806 12529 infeasible 34 0.66182 0.68323 3.23% 35.5 240s
52084 12814 0.67585 81 115 0.66182 0.68299 3.20% 35.5 245s
53911 13330 cutoff 57 0.66182 0.68270 3.16% 35.3 250s
55001 13493 0.66724 50 149 0.66182 0.68251 3.13% 35.3 255s
56329 13846 cutoff 42 0.66182 0.68234 3.10% 35.2 260s
57829 14132 0.67385 67 142 0.66182 0.68207 3.06% 35.1 266s
59142 14451 0.67862 68 148 0.66182 0.68185 3.03% 35.1 271s
60180 14624 0.67515 66 132 0.66182 0.68166 3.00% 35.1 275s
61475 14917 0.67956 88 131 0.66182 0.68151 2.98% 35.0 280s
62701 15230 0.66770 98 123 0.66182 0.68131 2.95% 35.0 285s
63916 15464 0.67318 76 130 0.66182 0.68110 2.91% 35.0 290s
64852 15605 0.66369 44 167 0.66182 0.68089 2.88% 35.1 295s
66020 15779 0.67879 91 125 0.66182 0.68071 2.85% 35.1 300s
67316 16084 0.67866 74 126 0.66182 0.68055 2.83% 35.0 305s
68270 16259 0.67811 90 123 0.66182 0.68042 2.81% 35.0 310s
70005 16644 0.67103 67 154 0.66182 0.68021 2.78% 34.9 316s
71331 16901 0.66273 54 141 0.66182 0.67998 2.74% 34.8 320s
72063 17076 0.67665 64 133 0.66182 0.67989 2.73% 34.8 325s
72844 17185 0.67016 45 174 0.66182 0.67980 2.72% 34.8 330s
74089 17485 cutoff 91 0.66182 0.67967 2.70% 34.8 335s
75491 17830 0.67822 58 132 0.66182 0.67950 2.67% 34.7 340s
76847 18111 cutoff 108 0.66182 0.67934 2.65% 34.6 345s
78490 18499 0.67736 60 132 0.66182 0.67923 2.63% 34.5 350s
80089 18950 infeasible 97 0.66182 0.67909 2.61% 34.3 355s
81516 19240 0.67775 59 139 0.66182 0.67891 2.58% 34.2 360s
82766 19405 infeasible 70 0.66182 0.67879 2.56% 34.2 365s
83949 19612 0.66223 92 103 0.66182 0.67867 2.55% 34.2 370s
85210 19819 0.67125 76 135 0.66182 0.67856 2.53% 34.2 375s
86408 19931 cutoff 61 0.66182 0.67841 2.51% 34.2 380s
87574 20047 0.66513 115 94 0.66182 0.67826 2.48% 34.2 385s
88783 20166 0.66231 122 92 0.66182 0.67813 2.46% 34.3 390s
90063 20350 0.66370 63 138 0.66182 0.67800 2.45% 34.3 396s
91148 20583 0.67186 75 149 0.66182 0.67792 2.43% 34.2 400s
92398 20762 0.67452 80 135 0.66182 0.67780 2.42% 34.2 405s
93634 20847 0.67676 111 106 0.66182 0.67769 2.40% 34.2 411s
94504 21012 0.67288 100 104 0.66182 0.67761 2.39% 34.2 415s
94974 21060 0.67064 93 86 0.66182 0.67758 2.38% 34.3 420s
96238 21207 cutoff 64 0.66182 0.67746 2.36% 34.3 425s
97095 21337 cutoff 69 0.66182 0.67739 2.35% 34.3 430s
98509 21483 cutoff 106 0.66182 0.67726 2.33% 34.3 435s
99442 21620 cutoff 36 0.66182 0.67717 2.32% 34.3 440s
100942 21837 infeasible 95 0.66182 0.67705 2.30% 34.2 445s
102259 21921 0.66620 63 131 0.66182 0.67692 2.28% 34.3 451s
103262 22055 cutoff 37 0.66182 0.67683 2.27% 34.3 455s
104723 22202 0.66267 111 86 0.66182 0.67670 2.25% 34.2 461s
105670 22263 0.66690 78 137 0.66182 0.67662 2.24% 34.2 465s
107181 22471 0.66488 84 112 0.66182 0.67651 2.22% 34.2 470s
108583 22636 cutoff 59 0.66182 0.67638 2.20% 34.2 476s
109440 22680 infeasible 64 0.66182 0.67633 2.19% 34.2 480s
110886 22843 cutoff 88 0.66182 0.67622 2.18% 34.2 485s
112242 22963 0.67451 76 138 0.66182 0.67610 2.16% 34.2 490s
113347 23120 cutoff 76 0.66182 0.67602 2.15% 34.1 495s
114445 23174 0.66331 91 112 0.66182 0.67593 2.13% 34.1 500s
115429 23317 0.67505 86 113 0.66182 0.67586 2.12% 34.1 505s
117072 23544 0.67216 61 126 0.66182 0.67578 2.11% 34.1 510s
118433 23621 infeasible 62 0.66182 0.67562 2.09% 34.1 515s
120057 23810 0.66389 79 143 0.66182 0.67551 2.07% 34.0 521s
121066 23861 0.67055 55 137 0.66182 0.67544 2.06% 34.0 525s
122500 23908 0.66450 77 150 0.66182 0.67531 2.04% 34.0 530s
123899 23987 cutoff 77 0.66182 0.67519 2.02% 34.0 536s
124841 23952 cutoff 91 0.66182 0.67508 2.00% 34.0 540s
126207 23969 0.67406 73 122 0.66182 0.67495 1.98% 34.0 546s
127031 23971 0.67382 95 94 0.66182 0.67486 1.97% 34.0 551s
127911 24029 cutoff 67 0.66182 0.67479 1.96% 34.0 555s
129365 24052 0.67014 125 75 0.66182 0.67469 1.95% 34.0 560s
130575 24034 0.66826 93 140 0.66182 0.67457 1.93% 34.0 566s
131418 23992 cutoff 84 0.66182 0.67448 1.91% 34.1 570s
132725 23938 cutoff 69 0.66182 0.67436 1.90% 34.1 575s
134090 23969 cutoff 84 0.66182 0.67424 1.88% 34.1 580s
135376 23994 0.67164 98 103 0.66182 0.67414 1.86% 34.1 586s
136815 24056 0.66525 95 95 0.66182 0.67401 1.84% 34.1 591s
137673 24014 0.67393 109 105 0.66182 0.67393 1.83% 34.1 595s
138957 23965 0.67370 97 97 0.66182 0.67379 1.81% 34.1 600s
Cutting planes:
Gomory: 191
Cover: 5
Implied bound: 69
Projected implied bound: 39
MIR: 37
Flow cover: 175
Inf proof: 389
Explored 139383 nodes (4754076 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.661817 0.661817
Time limit reached
Best objective 6.618169909946e-01, best bound 6.737482264264e-01, gap 1.8028%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn2h22oa3.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpanybrzfg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.651703
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 8.473514e-01, 1406 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.84735 0 143 0.65170 0.84735 30.0% - 0s
0 0 0.80388 0 153 0.65170 0.80388 23.4% - 0s
0 0 0.80385 0 156 0.65170 0.80385 23.3% - 0s
0 0 0.79922 0 168 0.65170 0.79922 22.6% - 0s
0 0 0.79914 0 165 0.65170 0.79914 22.6% - 0s
0 0 0.79838 0 164 0.65170 0.79838 22.5% - 0s
0 0 0.79812 0 168 0.65170 0.79812 22.5% - 0s
0 0 0.79804 0 170 0.65170 0.79804 22.5% - 0s
0 0 0.79802 0 167 0.65170 0.79802 22.5% - 0s
0 0 0.79801 0 169 0.65170 0.79801 22.4% - 0s
0 0 0.79801 0 159 0.65170 0.79801 22.4% - 0s
0 2 0.79801 0 153 0.65170 0.79801 22.4% - 0s
752 591 0.69604 50 165 0.65170 0.77191 18.4% 19.2 5s
1532 826 0.73507 24 166 0.65170 0.74134 13.8% 26.4 10s
2622 1024 infeasible 27 0.65170 0.73107 12.2% 27.8 15s
3684 1478 0.66492 42 146 0.65170 0.72552 11.3% 28.6 20s
H 4063 1607 0.6517033 0.72400 11.1% 28.5 22s
4628 1853 0.71564 33 156 0.65170 0.72219 10.8% 28.2 25s
5737 2256 0.69049 29 166 0.65170 0.71970 10.4% 29.1 30s
6990 2630 cutoff 43 0.65170 0.71685 10.0% 30.0 35s
8103 2928 cutoff 35 0.65170 0.71472 9.67% 30.4 40s
H 8238 2963 0.6517033 0.71461 9.65% 30.5 40s
9339 3254 0.66568 34 153 0.65170 0.71232 9.30% 30.9 45s
10118 3404 0.66864 42 160 0.65170 0.71095 9.09% 31.2 50s
11623 3735 0.66268 47 130 0.65170 0.70814 8.66% 31.8 55s
12812 3926 0.67638 23 188 0.65170 0.70645 8.40% 32.2 60s
13976 4146 0.70120 32 171 0.65170 0.70405 8.03% 32.6 65s
14707 4237 0.69988 37 182 0.65170 0.70293 7.86% 33.2 71s
15527 4288 0.66159 46 140 0.65170 0.70119 7.59% 33.4 76s
16636 4402 0.65867 56 135 0.65170 0.69954 7.34% 33.9 80s
17770 4472 0.65235 43 133 0.65170 0.69766 7.05% 34.3 85s
18834 4589 cutoff 44 0.65170 0.69592 6.79% 34.8 90s
19942 4665 cutoff 36 0.65170 0.69413 6.51% 35.2 95s
21110 4795 0.68303 52 159 0.65170 0.69240 6.24% 35.4 115s
21123 4804 0.65862 43 254 0.65170 0.69240 6.24% 35.4 120s
21130 4808 0.68344 37 265 0.65170 0.69240 6.24% 35.4 125s
21133 4810 0.66264 54 271 0.65170 0.69240 6.24% 35.4 130s
21136 4812 0.66031 59 271 0.65170 0.69240 6.24% 35.4 135s
21144 4818 0.66469 58 259 0.65170 0.69240 6.24% 35.4 141s
21148 4820 0.69011 43 267 0.65170 0.69240 6.24% 35.4 145s
21152 4823 0.69013 40 273 0.65170 0.69240 6.24% 35.3 151s
21157 4826 0.67120 45 295 0.65170 0.69240 6.24% 35.3 155s
21161 4829 0.66283 53 277 0.65170 0.69240 6.24% 35.3 161s
21165 4832 0.65387 43 291 0.65170 0.69240 6.24% 35.3 165s
21168 4834 0.65843 60 303 0.65170 0.69240 6.24% 35.3 170s
21172 4836 0.66406 50 294 0.65170 0.69240 6.24% 35.3 175s
21176 4839 0.67024 52 305 0.65170 0.69240 6.24% 35.3 181s
21180 4842 0.68992 42 328 0.65170 0.69240 6.24% 35.3 187s
21184 4844 0.68953 36 329 0.65170 0.69240 6.24% 35.3 190s
21188 4847 0.65306 38 322 0.65170 0.69240 6.24% 35.3 195s
21193 4850 0.68068 46 330 0.65170 0.69240 6.24% 35.3 200s
21197 4853 0.67409 60 311 0.65170 0.69240 6.24% 35.3 206s
21201 4856 0.69025 43 315 0.65170 0.69240 6.24% 35.3 210s
21205 4858 0.68024 36 322 0.65170 0.69240 6.24% 35.3 216s
21209 4861 0.68731 33 325 0.65170 0.69240 6.24% 35.2 221s
21213 4864 0.65769 62 331 0.65170 0.69240 6.24% 35.2 227s
21216 4867 cutoff 23 0.65170 0.69240 6.24% 36.4 239s
21218 4866 0.69240 24 320 0.65170 0.69240 6.24% 36.4 247s
21220 4865 0.66000 25 280 0.65170 0.69240 6.24% 36.4 257s
21222 4865 infeasible 26 0.65170 0.69240 6.24% 36.4 262s
21224 4866 0.69240 27 330 0.65170 0.69240 6.24% 36.5 271s
21245 4871 0.68561 32 287 0.65170 0.69240 6.24% 36.6 275s
21318 4901 0.66161 46 201 0.65170 0.69240 6.24% 36.8 280s
21413 4924 0.67954 41 273 0.65170 0.69240 6.24% 36.9 285s
21624 4969 0.66305 55 229 0.65170 0.69240 6.24% 37.5 290s
21803 4980 0.66627 63 186 0.65170 0.69240 6.24% 38.4 295s
21988 4989 0.68887 37 260 0.65170 0.69240 6.24% 39.2 300s
22255 5044 0.68557 43 228 0.65170 0.69240 6.24% 40.2 305s
22373 5053 0.66128 46 253 0.65170 0.69240 6.24% 40.6 310s
22714 5123 0.65402 41 260 0.65170 0.69187 6.16% 41.4 315s
23092 5188 0.67406 49 245 0.65170 0.69092 6.02% 42.3 321s
23431 5251 0.66560 52 190 0.65170 0.68927 5.76% 42.9 325s
23721 5247 cutoff 46 0.65170 0.68823 5.60% 43.8 330s
23972 5259 0.67938 48 225 0.65170 0.68719 5.44% 44.8 336s
24256 5271 0.68620 41 245 0.65170 0.68675 5.38% 45.6 341s
24484 5284 cutoff 51 0.65170 0.68653 5.34% 46.4 346s
24756 5280 0.66455 60 235 0.65170 0.68611 5.28% 47.4 351s
25029 5273 0.67364 46 237 0.65170 0.68541 5.17% 48.5 356s
25373 5293 cutoff 41 0.65170 0.68462 5.05% 49.5 362s
25527 5314 cutoff 54 0.65170 0.68422 4.99% 50.0 366s
25787 5292 cutoff 43 0.65170 0.68389 4.94% 51.1 372s
25963 5311 0.68026 48 219 0.65170 0.68382 4.93% 51.6 376s
26367 5342 cutoff 61 0.65170 0.68312 4.82% 52.9 389s
26372 5330 0.65896 62 233 0.65170 0.68307 4.81% 52.9 393s
26546 5329 0.67936 46 238 0.65170 0.68286 4.78% 53.6 397s
26754 5326 cutoff 53 0.65170 0.68275 4.76% 54.3 401s
26981 5314 0.65582 52 223 0.65170 0.68240 4.71% 55.1 405s
27127 5308 cutoff 47 0.65170 0.68207 4.66% 55.8 410s
27575 5300 cutoff 42 0.65170 0.68152 4.58% 57.3 418s
27795 5270 cutoff 52 0.65170 0.68126 4.54% 58.3 423s
28108 5291 cutoff 56 0.65170 0.68096 4.49% 58.9 428s
28387 5308 0.65968 52 203 0.65170 0.68083 4.47% 59.6 433s
28665 5284 0.65909 49 225 0.65170 0.68068 4.45% 60.6 438s
28975 5322 0.66545 51 238 0.65170 0.68048 4.42% 61.4 444s
29231 5333 cutoff 46 0.65170 0.68025 4.38% 62.4 450s
29239 5316 cutoff 47 0.65170 0.68023 4.38% 62.4 456s
29602 5318 0.66618 47 261 0.65170 0.67998 4.34% 63.3 462s
29914 5301 cutoff 46 0.65170 0.67964 4.29% 64.4 468s
30279 5289 0.66631 52 238 0.65170 0.67950 4.26% 65.3 474s
30635 5268 0.66003 58 218 0.65170 0.67916 4.21% 66.3 480s
30975 5225 0.67564 58 201 0.65170 0.67885 4.17% 67.4 486s
31364 5199 0.66100 77 164 0.65170 0.67855 4.12% 68.4 493s
31766 5225 cutoff 74 0.65170 0.67838 4.09% 69.3 500s
32136 5248 cutoff 46 0.65170 0.67823 4.07% 70.1 507s
32445 5228 cutoff 54 0.65170 0.67814 4.06% 70.8 514s
32855 5243 0.67177 59 217 0.65170 0.67794 4.03% 71.7 522s
33247 5212 cutoff 48 0.65170 0.67779 4.00% 72.5 528s
33597 5175 cutoff 42 0.65170 0.67764 3.98% 73.6 535s
33982 5159 0.67209 48 253 0.65170 0.67745 3.95% 74.4 542s
34459 5189 cutoff 56 0.65170 0.67715 3.90% 75.1 549s
34819 5153 0.65461 74 186 0.65170 0.67699 3.88% 76.1 556s
35175 5121 cutoff 54 0.65170 0.67678 3.85% 77.0 562s
35557 5106 0.65290 53 193 0.65170 0.67661 3.82% 77.8 569s
35860 5115 0.65376 52 227 0.65170 0.67652 3.81% 78.1 576s
36258 5222 0.66932 59 214 0.65170 0.67633 3.78% 78.8 583s
36720 5383 0.66329 59 224 0.65170 0.67618 3.76% 79.4 590s
37136 5496 0.66064 61 188 0.65170 0.67599 3.73% 80.0 598s
37583 5673 0.65532 56 218 0.65170 0.67583 3.70% 80.7 600s
Cutting planes:
Gomory: 275
Cover: 9
Implied bound: 65
Projected implied bound: 56
Clique: 2
MIR: 186
StrongCG: 5
Flow cover: 613
Inf proof: 103
Zero half: 2
Explored 37678 nodes (3050095 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.651703 0.651703 0.651703
Time limit reached
Best objective 6.517033366131e-01, best bound 6.757234986668e-01, gap 3.6858%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 3
Seed for training 680
Seed for simulation 237
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.66578594e-03, 0.00000000e+00, -3.74775403e-05]])
fopt: 0.317765261124095
fun: -0.31802985081780505
message: 'Optimization terminated successfully.'
nfev: 319
nit: 3
status: 0
success: True
x: array([193.9999556 , 1. , -0.99999999])
xopt: array([194., 1., 0.])
zopt: array([194., 195., 195.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6g9eqm0b.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuwokexf0.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [2e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.317765
Presolve removed 899 rows and 580 columns
Presolve time: 0.04s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 7.688047e-01, 1440 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.76880 0 130 0.31777 0.76880 142% - 0s
0 0 0.75011 0 177 0.31777 0.75011 136% - 0s
0 0 0.75010 0 180 0.31777 0.75010 136% - 0s
0 0 0.74951 0 168 0.31777 0.74951 136% - 0s
0 0 0.74951 0 169 0.31777 0.74951 136% - 0s
0 0 0.74949 0 171 0.31777 0.74949 136% - 0s
0 0 0.74949 0 171 0.31777 0.74949 136% - 0s
0 0 0.74942 0 182 0.31777 0.74942 136% - 0s
0 0 0.74942 0 150 0.31777 0.74942 136% - 0s
0 2 0.74942 0 150 0.31777 0.74942 136% - 0s
* 496 379 180 0.3363359 0.69862 108% 26.6 2s
757 575 infeasible 16 0.33634 0.69334 106% 26.9 5s
1399 749 0.37374 52 101 0.33634 0.69032 105% 30.0 10s
H 2031 775 0.3824602 0.68595 79.4% 29.0 13s
2455 862 0.48670 35 137 0.38246 0.67944 77.7% 30.8 15s
4200 1946 0.52955 68 122 0.38246 0.67046 75.3% 29.7 20s
5431 2693 0.42708 73 96 0.38246 0.66552 74.0% 28.4 25s
7427 3864 0.58664 40 137 0.38246 0.65935 72.4% 27.9 30s
9163 4830 infeasible 66 0.38246 0.65752 71.9% 27.2 35s
10576 5497 0.59733 55 120 0.38246 0.65464 71.2% 27.1 40s
13011 6954 0.60640 58 124 0.38246 0.65220 70.5% 26.2 45s
15090 7970 cutoff 52 0.38246 0.64878 69.6% 25.7 50s
16928 8858 0.52302 53 133 0.38246 0.64643 69.0% 25.6 55s
19202 10018 0.49200 65 114 0.38246 0.64436 68.5% 25.1 60s
20997 10881 0.53944 53 150 0.38246 0.64225 67.9% 25.0 86s
21012 10891 0.39248 102 288 0.38246 0.64225 67.9% 25.0 90s
21019 10896 0.59701 47 266 0.38246 0.64225 67.9% 25.0 95s
21026 10900 0.56534 47 265 0.38246 0.64225 67.9% 25.0 100s
21029 10905 0.64225 26 249 0.38246 0.64225 67.9% 25.2 106s
21031 10907 0.64225 27 246 0.38246 0.64225 67.9% 25.2 110s
21047 10916 0.52749 30 194 0.38246 0.64225 67.9% 25.3 115s
21159 10969 0.63399 36 222 0.38246 0.64225 67.9% 25.7 120s
21464 11020 0.47760 32 177 0.38246 0.64225 67.9% 26.3 125s
21942 11103 0.61868 31 217 0.38246 0.64225 67.9% 26.8 130s
22691 11195 0.46353 52 164 0.38246 0.64225 67.9% 27.6 135s
23390 11389 0.47308 68 173 0.38246 0.64225 67.9% 28.4 140s
23881 11476 0.58534 60 170 0.38246 0.64225 67.9% 29.0 145s
24457 11633 infeasible 141 0.38246 0.64225 67.9% 29.4 150s
25164 11736 0.53059 45 174 0.38246 0.64225 67.9% 30.2 155s
25714 11791 0.52386 89 160 0.38246 0.64225 67.9% 30.9 160s
26493 11950 0.64225 51 198 0.38246 0.64225 67.9% 31.5 165s
27178 12025 0.60479 55 185 0.38246 0.64225 67.9% 32.1 171s
27599 12115 0.58314 63 178 0.38246 0.64225 67.9% 32.7 175s
27995 12154 infeasible 47 0.38246 0.64225 67.9% 33.1 180s
28674 12221 infeasible 55 0.38246 0.64225 67.9% 33.5 185s
29622 12407 0.58802 55 203 0.38246 0.64225 67.9% 33.9 190s
30584 12553 0.58802 52 184 0.38246 0.64225 67.9% 34.2 196s
31334 12604 cutoff 61 0.38246 0.64225 67.9% 34.9 202s
31589 12673 0.56746 59 182 0.38246 0.64225 67.9% 35.0 205s
32551 12913 0.45634 47 201 0.38246 0.64225 67.9% 35.3 211s
33481 13037 0.59674 57 184 0.38246 0.64225 67.9% 35.6 217s
34083 13109 0.62711 53 192 0.38246 0.64225 67.9% 35.8 220s
34962 13181 0.57952 57 192 0.38246 0.64225 67.9% 36.2 226s
35300 13251 0.62594 54 181 0.38246 0.64225 67.9% 36.3 230s
36153 13379 0.64225 43 214 0.38246 0.64225 67.9% 36.6 235s
37057 13473 0.43345 49 142 0.38246 0.64225 67.9% 36.8 241s
37893 13520 0.46674 43 192 0.38246 0.64225 67.9% 37.2 247s
38186 13515 0.64225 51 181 0.38246 0.64225 67.9% 37.2 250s
38981 13598 0.51549 59 163 0.38246 0.64225 67.9% 37.5 256s
39851 13667 0.63112 56 169 0.38246 0.64225 67.9% 37.6 261s
40902 13786 0.49498 63 172 0.38246 0.64225 67.9% 37.7 267s
41659 13867 0.55756 65 157 0.38246 0.64225 67.9% 37.8 272s
42232 13945 0.46136 56 163 0.38246 0.64225 67.9% 38.0 275s
43054 14052 0.56335 75 145 0.38246 0.64225 67.9% 38.0 281s
43329 14067 0.54789 60 144 0.38246 0.64225 67.9% 38.1 286s
43580 14095 0.63580 44 186 0.38246 0.64225 67.9% 38.2 290s
44326 14134 0.53263 58 180 0.38246 0.64225 67.9% 38.4 295s
45158 14138 0.52279 53 181 0.38246 0.64225 67.9% 38.6 300s
46024 14150 infeasible 61 0.38246 0.64225 67.9% 38.8 305s
46765 14165 0.60889 47 202 0.38246 0.64225 67.9% 38.9 311s
47623 14211 0.60504 51 193 0.38246 0.64225 67.9% 39.0 316s
48757 14246 0.44296 97 143 0.38246 0.64225 67.9% 39.0 321s
49202 14225 infeasible 59 0.38246 0.64225 67.9% 39.2 326s
49995 14215 infeasible 64 0.38246 0.64225 67.9% 39.3 332s
50585 14193 0.64093 44 194 0.38246 0.64225 67.9% 39.3 335s
51377 14214 0.52095 39 179 0.38246 0.64225 67.9% 39.3 340s
52211 14226 cutoff 69 0.38246 0.64225 67.9% 39.3 346s
53086 14264 0.55174 51 176 0.38246 0.64225 67.9% 39.4 351s
53849 14362 0.59466 57 156 0.38246 0.64225 67.9% 39.4 356s
54810 14720 0.63021 56 153 0.38246 0.64225 67.9% 39.4 361s
55404 14898 0.58571 56 167 0.38246 0.64225 67.9% 39.6 366s
56375 15282 0.56679 45 178 0.38246 0.64225 67.9% 39.6 371s
H56590 15424 0.3824602 0.64225 67.9% 39.6 371s
56722 15471 0.44155 56 164 0.38246 0.64225 67.9% 39.6 377s
56995 15575 0.61808 42 192 0.38246 0.64225 67.9% 39.7 381s
57384 15659 0.46414 51 165 0.38246 0.64225 67.9% 39.8 387s
58192 15822 0.56896 61 144 0.38246 0.64225 67.9% 39.9 391s
59048 16180 0.60388 51 199 0.38246 0.64225 67.9% 39.9 396s
59899 16440 0.42541 57 148 0.38246 0.64225 67.9% 39.9 401s
60697 16657 cutoff 59 0.38246 0.64225 67.9% 40.0 406s
61650 17016 cutoff 91 0.38246 0.64225 67.9% 40.0 411s
62571 17385 infeasible 63 0.38246 0.64225 67.9% 40.0 416s
63420 17680 0.45618 53 184 0.38246 0.64225 67.9% 40.0 421s
64281 17962 0.63039 62 184 0.38246 0.64225 67.9% 40.0 426s
65189 18333 0.44391 60 153 0.38246 0.64225 67.9% 40.0 431s
66086 18692 0.56625 58 182 0.38246 0.64225 67.9% 40.0 436s
67065 19104 0.59478 66 168 0.38246 0.64225 67.9% 39.9 440s
67974 19460 cutoff 60 0.38246 0.64225 67.9% 39.9 445s
68831 19816 0.59597 59 167 0.38246 0.64225 67.9% 39.9 450s
H69720 20216 0.3824602 0.64225 67.9% 39.8 454s
69897 20283 0.56934 57 174 0.38246 0.64225 67.9% 39.8 456s
70786 20650 0.48059 91 129 0.38246 0.64225 67.9% 39.8 461s
71564 20960 infeasible 56 0.38246 0.64225 67.9% 39.9 466s
72351 21230 0.64090 54 172 0.38246 0.64225 67.9% 39.9 471s
73176 21556 0.61673 65 155 0.38246 0.64225 67.9% 39.9 476s
74110 21898 0.61817 60 186 0.38246 0.64225 67.9% 39.8 480s
75484 22519 cutoff 120 0.38246 0.64225 67.9% 39.8 486s
76065 22762 0.52799 59 177 0.38246 0.64225 67.9% 39.9 490s
76545 22925 infeasible 52 0.38246 0.64225 67.9% 39.9 495s
77792 23444 0.46577 58 140 0.38246 0.64225 67.9% 40.0 501s
78629 23758 0.44462 58 160 0.38246 0.64225 67.9% 40.0 505s
79375 24026 infeasible 75 0.38246 0.64225 67.9% 40.1 510s
80518 24482 cutoff 60 0.38246 0.64225 67.9% 40.1 516s
81285 24827 0.62980 60 158 0.38246 0.64225 67.9% 40.1 521s
82177 25221 0.54681 61 134 0.38246 0.64225 67.9% 40.0 525s
83267 25640 0.50835 68 156 0.38246 0.64225 67.9% 40.0 531s
83989 25913 0.63906 59 173 0.38246 0.64225 67.9% 40.1 536s
84789 26244 0.53206 59 178 0.38246 0.64225 67.9% 40.1 540s
86039 26796 0.55583 63 164 0.38246 0.64225 67.9% 40.1 546s
86649 27014 0.58429 79 124 0.38246 0.64225 67.9% 40.2 551s
87333 27289 0.62740 59 164 0.38246 0.64225 67.9% 40.2 555s
88671 27819 infeasible 58 0.38246 0.64225 67.9% 40.2 560s
89554 28202 0.63620 56 182 0.38246 0.64217 67.9% 40.1 565s
90587 28604 0.60881 66 158 0.38246 0.64180 67.8% 40.2 571s
91357 28960 0.62911 64 158 0.38246 0.64167 67.8% 40.2 576s
92016 29193 infeasible 63 0.38246 0.64146 67.7% 40.3 580s
92901 29560 0.57262 68 130 0.38246 0.64123 67.7% 40.4 586s
93821 29937 0.59531 63 163 0.38246 0.64106 67.6% 40.3 590s
94429 30142 cutoff 66 0.38246 0.64085 67.6% 40.4 595s
95181 30500 infeasible 55 0.38246 0.64068 67.5% 40.4 600s
Cutting planes:
Gomory: 111
Cover: 1
Implied bound: 29
Projected implied bound: 15
MIR: 16
Flow cover: 99
Explored 95798 nodes (3867621 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.38246 0.38246 0.38246 ... 0.317765
Time limit reached
Best objective 3.824601886518e-01, best bound 6.405831216592e-01, gap 67.4901%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpay24itoc.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2y1xlmkl.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.00s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8044208e+01 5.213750e+02 0.000000e+00 0s
205 1.1450964e+01 0.000000e+00 0.000000e+00 0s
Solved in 205 iterations and 0.01 seconds
Optimal objective 1.145096441e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.07762142e-07, -1.06805013e-08, -4.80546733e-07]])
fopt: 3.553412695683392
fun: -3.5638111375891555
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 21.17922937, -1. , -87.99580146])
xopt: array([21., 0., 0.])
zopt: array([21., 21., 21.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.12073589e-08, -1.60226955e-09, -1.50559502e-09]])
fopt: 2.8409851770979406
fun: -2.86499592611508
message: 'Optimization terminated successfully.'
nfev: 191
nit: 2
status: 0
success: True
x: array([39.95394338, -1. , -0.99891479])
xopt: array([40., 0., 0.])
zopt: array([40., 40., 40.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.18314174e-03, -2.72726612e-04, -5.29712563e-04]])
fopt: 2.097984069493562
fun: -2.1138457334201717
message: 'Optimization terminated successfully.'
nfev: 412
nit: 6
status: 0
success: True
x: array([54.89791378, -0.95421021, -1.99990218])
xopt: array([55., 0., 0.])
zopt: array([55., 55., 55.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.16312152, 0.00417311, 0.18776054]])
fopt: 1.8910862187132915
fun: -1.900203156699371
message: 'Optimization terminated successfully.'
nfev: 291
nit: 4
status: 0
success: True
x: array([ 79.01162639, -0.99576066, -85.99667679])
xopt: array([79., 0., 0.])
zopt: array([79., 79., 79.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.55416630e-07, 7.13712170e-09, -1.29111744e-08]])
fopt: 1.5686991921414204
fun: -1.5663566272815843
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([92.8320665 , 2.00000001, -0.80949558])
xopt: array([92., 2., 0.])
zopt: array([92., 94., 94.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1481
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.21795695e-05, 1.03458169e-07, -8.20636401e-07],
[ 2.25280486e-05, 2.03562604e+00, -5.18149493e-02]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1764
nit: 6
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 8
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00],
[ 0.00000000e+00, 1.11634175e-02, -4.04614509e-06]])
fopt: 0.9546429425298668
fun: -0.9573907801017768
message: 'Optimization terminated successfully.'
nfev: 473
nit: 5
status: 0
success: True
x: array([116.95321019, 6.01116343, -6.93362355])
xopt: array([116., 7., 0.])
zopt: array([116., 123., 123.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.875565565910319
fun: -0.8784719091720694
message: 'Optimization terminated successfully.'
nfev: 459
nit: 5
status: 0
success: True
x: array([178.00003625, 1.1458957 , 1.00611914])
xopt: array([178., 1., 1.])
zopt: array([178., 179., 180.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.843377056906816
fun: -0.8469049617444118
message: 'Optimization terminated successfully.'
nfev: 322
nit: 4
status: 0
success: True
x: array([199.00473969, 2.01405363, -0.86560675])
xopt: array([199., 2., 0.])
zopt: array([199., 201., 201.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.0037028, -0. , -0. ]])
fopt: 0.7995425928083112
fun: -0.7959967057535507
message: 'Optimization terminated successfully.'
nfev: 655
nit: 6
status: 0
success: True
x: array([214.99999997, 2.00000163, 2.001666 ])
xopt: array([214., 2., 3.])
zopt: array([214., 216., 219.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[105.91029485, 2.01806008, 4.00876572]])
fopt: 0.7800781852538635
fun: -0.7812976800358225
message: 'Optimization terminated successfully.'
nfev: 447
nit: 5
status: 0
success: True
x: array([212.13954707, 4.00008784, 18.17434267])
xopt: array([212., 4., 18.])
zopt: array([212., 216., 234.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[124.0131074 , 1.21119191, 4.26262579]])
fopt: 0.6741424172770036
fun: -0.6727280938509477
message: 'Optimization terminated successfully.'
nfev: 243
nit: 3
status: 0
success: True
x: array([242.52445613, 3.3463716 , 10.13443682])
xopt: array([242., 3., 10.])
zopt: array([242., 245., 255.])
*******************************************
Period: 14
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.30344770e+02, 4.34152965e+01, 8.67278862e+01],
[ 1.44386835e-06, 9.76915753e-01, -4.53913057e-04]])
fopt: 0.9615362741401738
fun: -0.9636432634179769
message: 'Optimization terminated successfully.'
nfev: 656
nit: 9
status: 0
success: True
x: array([80.64214777, 56.0011594 , 70.00016148])
xopt: array([80., 57., 70.])
zopt: array([ 80., 137., 207.])
*******************************************
Period: 15
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 4.14896351, 0. , 28.25525435]])
fopt: 0.6151669173701312
fun: -0.6165811618987996
message: 'Optimization terminated successfully.'
nfev: 284
nit: 3
status: 0
success: True
x: array([254.1463688 , 2. , 33.27294735])
xopt: array([254., 2., 33.])
zopt: array([254., 256., 289.])
*******************************************
Period: 16
direc: array([[ 129.76430432, 1.11145617, 2.22291237],
[ 0. , 1. , 0. ],
[-105.86820717, 1.23015088, 97.5728803 ]])
fopt: 0.9032755625696294
fun: -0.9029333304666777
message: 'Optimization terminated successfully.'
nfev: 362
nit: 5
status: 0
success: True
x: array([196.98851055, 4.17599822, 107.23108923])
xopt: array([196., 5., 107.])
zopt: array([196., 201., 308.])
*******************************************
Period: 17
direc: array([[ 128.32211797, 1.10107164, 2.2021433 ],
[ 0. , 1. , 0. ],
[-106.13351613, -0.34147749, 116.9964797 ]])
fopt: 0.8948105409792364
fun: -0.8945911231787899
message: 'Optimization terminated successfully.'
nfev: 454
nit: 6
status: 0
success: True
x: array([196.99998698, 4.0113421 , 128.59076476])
xopt: array([196., 5., 128.])
zopt: array([196., 201., 329.])
*******************************************
Period: 18
direc: array([[ 9.94624533e+01, 8.90459838e-01, 1.76328683e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.89412326e-02, 3.13224499e-02, 1.13609968e+00]])
fopt: 0.8994658646117459
fun: -0.8990134082889345
message: 'Optimization terminated successfully.'
nfev: 570
nit: 7
status: 0
success: True
x: array([196.98765536, 4.02249719, 143.61427416])
xopt: array([196., 5., 143.])
zopt: array([196., 201., 344.])
*******************************************
Period: 19
direc: array([[ 1.27993452e+02, 1.09016994e+00, 2.18033990e+00],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.48474023e-02, 0.00000000e+00]])
fopt: 0.3744596252178681
fun: -0.37453209052074937
message: 'Optimization terminated successfully.'
nfev: 453
nit: 5
status: 0
success: True
x: array([246.40034153, 4.00059363, 7.00990124])
xopt: array([246., 4., 8.])
zopt: array([246., 250., 258.])
*******************************************
Period: 20
direc: array([[1.02848222e+02, 9.44761002e-01, 1.88952203e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.51048312e-08, 1.12998855e-09, 9.90000000e-01]])
fopt: 0.7362108752603198
fun: -0.7703768309675936
message: 'Optimization terminated successfully.'
nfev: 490
nit: 5
status: 0
success: True
x: array([212.94025985, -11.94623119, 157.01172262])
xopt: array([212., 0., 157.])
zopt: array([212., 212., 369.])
*******************************************
Period: 21
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[102.69023164, 0.9433097 , 1.88661943]])
fopt: 0.7337084932395992
fun: -0.744637918064494
message: 'Optimization terminated successfully.'
nfev: 391
nit: 5
status: 0
success: True
x: array([196.48210643, -11.4868813 , 202.00001989])
xopt: array([197., 0., 203.])
zopt: array([197., 197., 400.])
*******************************************
Period: 22
direc: array([[2.07671679e-04, 4.72988083e+00, 8.89640786e+00],
[4.62683703e+00, 1.21306007e+01, 2.03310001e+01],
[1.21106825e+01, 2.61803462e+01, 5.25734701e+01]])
fopt: 0.8838732377251517
fun: -0.8784253379717626
message: 'Optimization terminated successfully.'
nfev: 578
nit: 8
status: 0
success: True
x: array([ 74.04091139, 133. , 171.70883163])
xopt: array([ 75., 133., 172.])
zopt: array([ 75., 208., 380.])
*******************************************
Period: 23
direc: array([[114.4144237 , 1.20468232, 2.40936466],
[ 0. , 1. , 0. ],
[ 0. , -0. , 0. ]])
fopt: 0.4286877852340902
fun: -0.4281116155621511
message: 'Optimization terminated successfully.'
nfev: 451
nit: 5
status: 0
success: True
x: array([210.15784083, 3.00000662, 10.00124061])
xopt: array([210., 3., 11.])
zopt: array([210., 213., 224.])
*******************************************
Period: 24
direc: array([[1.14993557e+02, 1.21554935e+00, 2.43109873e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.25317232e-05, 3.06594903e-07, 9.07299392e+00]])
fopt: 0.7293709738903568
fun: -0.7696835594276475
message: 'Optimization terminated successfully.'
nfev: 814
nit: 8
status: 0
success: True
x: array([210.71941069, -9.7198665 , 168.06007152])
xopt: array([210., 0., 168.])
zopt: array([210., 210., 378.])
*******************************************
Period: 25
direc: array([[1.18117154e+02, 1.28645093e+00, 2.69223042e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.79467857e-07, 1.68422746e-07, 1.00805499e+01]])
fopt: 0.7466413161354979
fun: -0.7832555031069847
message: 'Optimization terminated successfully.'
nfev: 471
nit: 5
status: 0
success: True
x: array([210.51241846, -9.70582696, 167.08513661])
xopt: array([210., 0., 167.])
zopt: array([210., 210., 377.])
*******************************************
Period: 26
direc: array([[1.17684517e+02, 1.27232863e+00, 2.57085151e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.13253826e-01, 1.92166735e+02]])
fopt: 0.7643793445167767
fun: -0.7647012449753186
message: 'Optimization terminated successfully.'
nfev: 631
nit: 7
status: 0
success: True
x: array([188.90163659, 0.22397283, 203.59116885])
xopt: array([188., 1., 203.])
zopt: array([188., 189., 392.])
*******************************************
Period: 27
direc: array([[ 1.06737901e+02, 1.00000000e+00, 2.00553680e+00],
[-1.00856710e+02, -9.72285396e-01, 9.91071047e+01],
[-1.83793396e-06, 9.88101303e-01, -3.45335990e-08]])
fopt: 0.7036397737018075
fun: -0.7016907421527006
message: 'Optimization terminated successfully.'
nfev: 759
nit: 8
status: 0
success: True
x: array([103.9999891 , 6.00055087, 108.00652951])
xopt: array([103., 7., 109.])
zopt: array([103., 110., 219.])
*******************************************
Period: 28
direc: array([[ 8.48908102e+01, 0.00000000e+00, 1.34226261e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.63492982e-09, -0.00000000e+00, -4.28387550e-07]])
fopt: 0.4922677219214724
fun: -0.49151249204201247
message: 'Optimization terminated successfully.'
nfev: 420
nit: 4
status: 0
success: True
x: array([212.51388659, 1.00000001, 6.00001126])
xopt: array([212., 1., 7.])
zopt: array([212., 213., 220.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[71.96443439, 0.07353362, 0.50400698]])
fopt: 0.7595828740114478
fun: -0.7635750139297814
message: 'Optimization terminated successfully.'
nfev: 300
nit: 4
status: 0
success: True
x: array([204.04565033, -14.07873603, 203.00573897])
xopt: array([204., 0., 204.])
zopt: array([204., 204., 408.])
*******************************************
Period: 30
direc: array([[2.07221607e-05, 1.46258542e-07, 1.01980563e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.91955998e-01, 5.29110482e+00, 1.90246080e+02]])
fopt: 0.7052395536128081
fun: -0.7040677920826537
message: 'Optimization terminated successfully.'
nfev: 634
nit: 7
status: 0
success: True
x: array([212.64201375, 6.01635371, 198.01006339])
xopt: array([212., 6., 199.])
zopt: array([212., 218., 417.])
*******************************************
Period: 31
direc: array([[93.60652942, 0.6606818 , 1.50031909],
[ 0. , 1. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.6526397567551571
fun: -0.6879251643460564
message: 'Optimization terminated successfully.'
nfev: 320
nit: 4
status: 0
success: True
x: array([232.7885725 , -31.78867829, 129.0143086 ])
xopt: array([232., 0., 130.])
zopt: array([232., 232., 362.])
*******************************************
Period: 32
direc: array([[ 9.21215078e+01, 6.90118373e-01, 1.32040105e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.27445396e-14, -9.54752789e-17, -1.33993921e-06]])
fopt: 0.7050012973147837
fun: -0.7258241436439612
message: 'Optimization terminated successfully.'
nfev: 461
nit: 5
status: 0
success: True
x: array([211.01378081, -10.11102463, 151.05214528])
xopt: array([211., 0., 152.])
zopt: array([211., 211., 363.])
*******************************************
Period: 33
direc: array([[ 1.03865722e+02, 7.31507445e-01, 1.63675041e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.88654465e-06, 1.79153618e-01, 9.99999970e-01]])
fopt: 0.49961378474638785
fun: -0.501719110429183
message: 'Optimization terminated successfully.'
nfev: 794
nit: 10
status: 0
success: True
x: array([ 2.42014854e+02, -4.95586002e-02, 1.80044518e+01])
xopt: array([242., 0., 19.])
zopt: array([242., 242., 261.])
*******************************************
Period: 34
direc: array([[ 8.82001162e+01, 6.18034000e-01, 1.62549540e+00],
[-2.75523471e-05, -4.12438618e-03, -8.68732752e-03],
[ 0.00000000e+00, 2.00000000e+00, 0.00000000e+00]])
fopt: 0.49637574471053664
fun: -0.49706601328909283
message: 'Optimization terminated successfully.'
nfev: 764
nit: 8
status: 0
success: True
x: array([233.99979981, 13.00332488, 9.04294081])
xopt: array([233., 13., 10.])
zopt: array([233., 246., 256.])
*******************************************
Period: 35
direc: array([[ -0.0720221 , 0.99949335, 2.10338386],
[ 0. , 1. , 0. ],
[-56.09971222, 18.11618869, 1.84874146]])
fopt: 0.8186682631157103
fun: -0.8186163560719669
message: 'Optimization terminated successfully.'
nfev: 622
nit: 9
status: 0
success: True
x: array([ 79.99185021, 112. , 140.02686878])
xopt: array([ 79., 112., 141.])
zopt: array([ 79., 191., 332.])
*******************************************
Period: 36
direc: array([[1.05769692e+02, 7.77928281e-01, 7.44188692e-01],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.99769853e-05, 8.68806047e-03, 5.15376435e+00]])
fopt: 0.6988570308274895
fun: -0.7001202628999654
message: 'Optimization terminated successfully.'
nfev: 662
nit: 9
status: 0
success: True
x: array([185.43040371, -0.67716962, 169.31011101])
xopt: array([185., 0., 169.])
zopt: array([185., 185., 354.])
*******************************************
Period: 37
direc: array([[0. , 0. , 0. ],
[0. , 0. , 1. ],
[0.9999, 0. , 0.9801]])
fopt: 0.696890391000301
fun: -0.696425042399128
message: 'Optimization terminated successfully.'
nfev: 610
nit: 11
status: 0
success: True
x: array([147.96254288, 7.14589803, 172.00013685])
xopt: array([148., 8., 173.])
zopt: array([148., 156., 329.])
*******************************************
Period: 38
direc: array([[1.41806043e+02, 1.00000000e+00, 2.02035942e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.83543590e-04, 1.00000200e+00, 1.00000404e+00]])
fopt: 0.44257700114148446
fun: -0.4425578504390338
message: 'Optimization terminated successfully.'
nfev: 453
nit: 5
status: 0
success: True
x: array([284.73004445, 6.00036776, 9.0239447 ])
xopt: array([284., 6., 10.])
zopt: array([284., 290., 300.])
*******************************************
Period: 39
direc: array([[ -0.91781559, 1. , 1. ],
[-205.42370811, 125.11083963, 83.40722642],
[ -0.91781559, 2. , 1. ]])
fopt: 0.7143269257581772
fun: -0.7070596145087172
message: 'Optimization terminated successfully.'
nfev: 920
nit: 10
status: 0
success: True
x: array([ 70.15275789, 142. , 93.29658408])
xopt: array([ 71., 143., 94.])
zopt: array([ 71., 214., 308.])
*******************************************
Period: 40
direc: array([[ -0.91781559, 1. , 1. ],
[-205.41710473, 125.10681791, 83.40454527],
[ -1.84397492, 4.01818171, 2.00909086]])
fopt: 0.7043723503890145
fun: -0.6956902621368379
message: 'Optimization terminated successfully.'
nfev: 1000
nit: 12
status: 0
success: True
x: array([ 70.55928275, 147.39015157, 94. ])
xopt: array([ 71., 148., 95.])
zopt: array([ 71., 219., 314.])
*******************************************
Period: 41
direc: array([[-2.01973510e+02, 1.23009538e+02, 8.20063584e+01],
[-9.60051224e-01, 1.96698351e+00, 9.91576554e-01],
[ 3.16516891e-07, -1.00251656e-06, -3.33046080e-07]])
fopt: 0.6648178738641077
fun: -0.6613047464887494
message: 'Optimization terminated successfully.'
nfev: 551
nit: 7
status: 0
success: True
x: array([ 75.06790809, 136. , 90.21417983])
xopt: array([ 76., 136., 91.])
zopt: array([ 76., 212., 303.])
*******************************************
Period: 42
direc: array([[ -0.91781559, 1. , 1. ],
[ 0. , 1. , 0. ],
[-23.21232558, 14.13718781, 9.42479187]])
fopt: 0.7540803039102861
fun: -0.7539301830103277
message: 'Optimization terminated successfully.'
nfev: 510
nit: 8
status: 0
success: True
x: array([ 79.98124387, 122. , 164.11672827])
xopt: array([ 80., 122., 164.])
zopt: array([ 80., 202., 366.])
*******************************************
Period: 43
direc: array([[-6.15692909e+00, 7.04001348e+00, 4.69334232e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.20889826e-04, -7.27546130e-05, -4.76749209e-07]])
fopt: 0.6762177738825228
fun: -0.6764218566938319
message: 'Optimization terminated successfully.'
nfev: 457
nit: 7
status: 0
success: True
x: array([ 78.99855295, 186.01211805, 125.58722522])
xopt: array([ 79., 186., 125.])
zopt: array([ 79., 265., 390.])
*******************************************
Period: 44
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-174.4497906 , 120.76478221, 83.24323873]])
fopt: 0.6669008043081782
fun: -0.6675825144843017
message: 'Optimization terminated successfully.'
nfev: 457
nit: 6
status: 0
success: True
x: array([ 77. , 169.00000166, 88.28268709])
xopt: array([ 76., 169., 89.])
zopt: array([ 76., 245., 334.])
*******************************************
Period: 45
direc: array([[ 1. , 0. , 0. ],
[-16.68332164, 7.2968051 , 5.02196023],
[ 0. , 99.15437307, 0. ]])
fopt: 0.6448841977976683
fun: -0.6453135804112197
message: 'Optimization terminated successfully.'
nfev: 1206
nit: 13
status: 0
success: True
x: array([ 79. , 206.00000346, 67.0015793 ])
xopt: array([ 79., 207., 68.])
zopt: array([ 79., 286., 354.])
*******************************************
Period: 46
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-13.46674921, 10.99966963, 7.27184139]])
fopt: 0.6692277932910075
fun: -0.6690235494179128
message: 'Optimization terminated successfully.'
nfev: 348
nit: 6
status: 0
success: True
x: array([ 78.99999999, 166.00006432, 109.45059968])
xopt: array([ 79., 166., 110.])
zopt: array([ 79., 245., 355.])
*******************************************
Period: 47
direc: array([[-2.45477337e+01, 1.61049909e+01, 1.07366606e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.15860599e-05, -2.60490390e-05, -2.44788948e-05]])
fopt: 0.6617550069141431
fun: -0.6614824064143899
message: 'Optimization terminated successfully.'
nfev: 555
nit: 7
status: 0
success: True
x: array([ 77.69670084, 162. , 112.21247844])
xopt: array([ 78., 162., 113.])
zopt: array([ 78., 240., 353.])
*******************************************
Period: 48
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-9.22633857, 58.23171061, 39.34311842]])
fopt: 0.47711726760319795
fun: -0.47825566002819064
message: 'Optimization terminated successfully.'
nfev: 527
nit: 8
status: 0
success: True
x: array([225.00413151, 72.01297385, 47.08941599])
xopt: array([225., 72., 47.])
zopt: array([225., 297., 344.])
*******************************************
Period: 49
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-8.52092420e+00, 5.43842475e+01, 3.62561650e+01],
[-5.27560611e-03, 9.99999996e-01, -2.47768384e-09]])
fopt: 0.459731084893407
fun: -0.4591842201203532
message: 'Optimization terminated successfully.'
nfev: 436
nit: 6
status: 0
success: True
x: array([234.00039262, 66.0073489 , 41.24921055])
xopt: array([234., 67., 42.])
zopt: array([234., 301., 343.])
*******************************************
Period: 50
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-3.72702128, 50.21793379, 33.47862253]])
fopt: 0.6351370239336639
fun: -0.6351228874719893
message: 'Optimization terminated successfully.'
nfev: 471
nit: 8
status: 0
success: True
x: array([ 78.99999695, 166. , 109.25088843])
xopt: array([ 79., 166., 110.])
zopt: array([ 79., 245., 355.])
*******************************************
Period: 51
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.00138967, -0.04072443, -0.04294245]])
fopt: 0.5468295232901189
fun: -0.5457119521438427
message: 'Optimization terminated successfully.'
nfev: 684
nit: 9
status: 0
success: True
x: array([109.99625183, 93. , 92.12048598])
xopt: array([109., 94., 93.])
zopt: array([109., 203., 296.])
*******************************************
Period: 52
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.79671005, 49.87042911, 33.24695274]])
fopt: 0.6181929267703797
fun: -0.6183523650418362
message: 'Optimization terminated successfully.'
nfev: 516
nit: 8
status: 0
success: True
x: array([ 78.99999659, 166. , 109.11079931])
xopt: array([ 79., 166., 110.])
zopt: array([ 79., 245., 355.])
*******************************************
Period: 53
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-57.41223131, 0. , 206.69733039]])
fopt: 0.5872836731701269
fun: -0.5874944157812829
message: 'Optimization terminated successfully.'
nfev: 685
nit: 7
status: 0
success: True
x: array([195.89110235, 2.00056751, 212.10462746])
xopt: array([195., 3., 212.])
zopt: array([195., 198., 410.])
*******************************************
Period: 54
direc: array([[ 1.01668613e-01, 1.02199020e+00, 1.02199020e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.44990301e+01, 1.30487223e+02, 8.69915342e+01]])
fopt: 0.5251649520975071
fun: -0.5238892731043882
message: 'Optimization terminated successfully.'
nfev: 384
nit: 5
status: 0
success: True
x: array([142.74004598, 136.0029579 , 91.51104575])
xopt: array([142., 136., 91.])
zopt: array([142., 278., 369.])
*******************************************
Period: 55
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-4.24347057e+00, 5.51738085e+01, 3.67825390e+01],
[-5.49510690e-02, -2.63130790e-01, 0.00000000e+00]])
fopt: 0.5281917937168028
fun: -0.5289568709800891
message: 'Optimization terminated successfully.'
nfev: 882
nit: 13
status: 0
success: True
x: array([135.00009288, 140.07147236, 93.1944919 ])
xopt: array([135., 140., 94.])
zopt: array([135., 275., 369.])
*******************************************
Period: 56
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-2.95538156, 54.04507157, 27.29412585]])
fopt: 0.40918452857277704
fun: -0.40833371185099815
message: 'Optimization terminated successfully.'
nfev: 418
nit: 6
status: 0
success: True
x: array([249.54702247, 62.04621952, 32.31531204])
xopt: array([249., 62., 33.])
zopt: array([249., 311., 344.])
*******************************************
Period: 57
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-57.63371967, 41.71096049, 78.02302456]])
fopt: 0.6365111828504983
fun: -0.6365103900990922
message: 'Optimization terminated successfully.'
nfev: 364
nit: 7
status: 0
success: True
x: array([ 83.00028973, 109.00000002, 206.00049804])
xopt: array([ 83., 109., 206.])
zopt: array([ 83., 192., 398.])
*******************************************
Period: 58
direc: array([[ 1.21190068, 1. , 1.01 ],
[ 0. , 1. , 0. ],
[-7.55703951, 34.04654442, 17.19350496]])
fopt: 0.386663763900916
fun: -0.3860031623233372
message: 'Optimization terminated successfully.'
nfev: 652
nit: 7
status: 0
success: True
x: array([270.65078628, 47.02288821, 26.28364918])
xopt: array([270., 47., 27.])
zopt: array([270., 317., 344.])
*******************************************
Period: 59
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.71111955, 0.37679499, 1.83162164]])
fopt: 0.5980353499290778
fun: -0.5962852778080202
message: 'Optimization terminated successfully.'
nfev: 360
nit: 6
status: 0
success: True
x: array([ 74.99995952, 86. , 172.00910156])
xopt: array([ 74., 86., 173.])
zopt: array([ 74., 160., 333.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph55x057e.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdgt2o9do.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.12782
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.12782
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpll_tg95v.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxbw1aobe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24245
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.840985e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.8409852 2.84099 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.84099 1.24245
Optimal solution found (tolerance 1.00e-02)
Best objective 2.840985177098e+00, best bound 2.840985177098e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzgw39d77.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcnx67862.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.7158
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.097984e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.0979841 2.09798 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.09798 1.7158
Optimal solution found (tolerance 1.00e-02)
Best objective 2.097984069494e+00, best bound 2.097984069494e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplc4qja8m.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq2xyovxc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.44759
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.321558e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.32156 0 3 1.44759 2.32156 60.4% - 0s
H 0 0 1.5472753 2.32156 50.0% - 0s
H 0 0 1.8910862 2.32156 22.8% - 0s
0 0 cutoff 0 1.89109 1.89109 0.00% - 0s
Cutting planes:
Flow cover: 2
Explored 1 nodes (63 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.89109 1.54728 1.44759
Optimal solution found (tolerance 1.00e-02)
Best objective 1.891086218713e+00, best bound 1.891086218713e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3sl8j4ki.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2gaml53c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.38941
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 350 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.103355e+00, 64 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.10335 0 4 1.38941 2.10335 51.4% - 0s
H 0 0 1.5600949 2.10335 34.8% - 0s
H 0 0 1.6520951 2.10335 27.3% - 0s
0 0 cutoff 0 1.65210 1.65210 0.00% - 0s
Cutting planes:
Gomory: 3
Flow cover: 4
Explored 1 nodes (92 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.6521 1.56009 1.38941
Optimal solution found (tolerance 1.00e-02)
Best objective 1.652095146951e+00, best bound 1.652095146951e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67q78r5s.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp13o7i44t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.32717
Presolve removed 150 rows and 102 columns
Presolve time: 0.01s
Presolved: 133 rows, 106 columns, 454 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 1.933996e+00, 82 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93400 0 6 1.32717 1.93400 45.7% - 0s
H 0 0 1.5154826 1.93400 27.6% - 0s
* 0 0 0 1.5178921 1.51789 0.00% - 0s
Cutting planes:
Gomory: 4
Flow cover: 6
Explored 1 nodes (113 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.51789 1.51548 1.32717
Optimal solution found (tolerance 1.00e-02)
Best objective 1.517892118241e+00, best bound 1.517892118241e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp48d5w397.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0sf4pgb5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25359
Presolve removed 165 rows and 111 columns
Presolve time: 0.00s
Presolved: 164 rows, 130 columns, 563 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 1.736630e+00, 96 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73663 0 7 1.25359 1.73663 38.5% - 0s
0 0 1.48139 0 12 1.25359 1.48139 18.2% - 0s
0 0 1.35473 0 7 1.25359 1.35473 8.07% - 0s
H 0 0 1.2827695 1.35473 5.61% - 0s
0 0 1.35473 0 7 1.28277 1.35473 5.61% - 0s
H 0 0 1.2909293 1.35473 4.94% - 0s
0 0 1.35473 0 4 1.29093 1.35473 4.94% - 0s
H 0 0 1.3018090 1.35473 4.06% - 0s
0 0 cutoff 0 1.30181 1.30181 0.00% - 0s
Cutting planes:
Gomory: 5
Explored 1 nodes (221 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.30181 1.29093 1.28277 1.25359
Optimal solution found (tolerance 1.00e-02)
Best objective 1.301809042987e+00, best bound 1.301809042987e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpplkdvj7q.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3y9a4vgp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10426
Presolve removed 181 rows and 121 columns
Presolve time: 0.01s
Presolved: 194 rows, 153 columns, 671 nonzeros
Variable types: 77 continuous, 76 integer (71 binary)
Root relaxation: objective 1.583674e+00, 143 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58367 0 8 1.10426 1.58367 43.4% - 0s
0 0 1.28416 0 12 1.10426 1.28416 16.3% - 0s
0 0 1.21708 0 7 1.10426 1.21708 10.2% - 0s
H 0 0 1.1077865 1.21708 9.87% - 0s
0 0 1.21686 0 7 1.10779 1.21686 9.85% - 0s
0 0 1.21686 0 7 1.10779 1.21686 9.85% - 0s
H 0 0 1.1156856 1.21686 9.07% - 0s
H 0 0 1.1307586 1.21686 7.61% - 0s
0 0 1.21686 0 5 1.13076 1.21686 7.61% - 0s
H 0 0 1.1719936 1.21686 3.83% - 0s
0 0 1.18150 0 1 1.17199 1.18150 0.81% - 0s
Cutting planes:
Gomory: 6
Flow cover: 4
Explored 1 nodes (295 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.17199 1.13076 1.11569 ... 1.10426
Optimal solution found (tolerance 1.00e-02)
Best objective 1.171993570574e+00, best bound 1.181496068151e+00, gap 0.8108%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq23b51mw.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqvxiwgx7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.977099
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.608948e+00, 144 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60895 0 9 0.97710 1.60895 64.7% - 0s
0 0 1.31029 0 20 0.97710 1.31029 34.1% - 0s
0 0 1.26519 0 9 0.97710 1.26519 29.5% - 0s
0 0 1.26471 0 9 0.97710 1.26471 29.4% - 0s
0 0 1.26441 0 9 0.97710 1.26441 29.4% - 0s
0 0 1.26284 0 11 0.97710 1.26284 29.2% - 0s
H 0 0 1.1358205 1.26284 11.2% - 0s
0 0 1.26024 0 11 1.13582 1.26024 11.0% - 0s
0 0 1.26024 0 12 1.13582 1.26024 11.0% - 0s
0 0 1.26024 0 10 1.13582 1.26024 11.0% - 0s
0 2 1.26024 0 10 1.13582 1.26024 11.0% - 0s
* 20 5 8 1.1915705 1.21891 2.29% 7.8 0s
Cutting planes:
Gomory: 8
Implied bound: 3
MIR: 1
Flow cover: 12
Explored 32 nodes (477 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.19157 1.13582 0.977099
Optimal solution found (tolerance 1.00e-02)
Best objective 1.191570496082e+00, best bound 1.191570496082e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg8sn4dwx.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc85ubxr7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00692
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.625284e+00, 171 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62528 0 11 1.00692 1.62528 61.4% - 0s
0 0 1.32308 0 13 1.00692 1.32308 31.4% - 0s
0 0 1.30290 0 17 1.00692 1.30290 29.4% - 0s
0 0 1.30268 0 17 1.00692 1.30268 29.4% - 0s
0 0 1.30197 0 15 1.00692 1.30197 29.3% - 0s
0 0 1.30195 0 15 1.00692 1.30195 29.3% - 0s
0 0 1.30195 0 15 1.00692 1.30195 29.3% - 0s
0 0 1.30195 0 15 1.00692 1.30195 29.3% - 0s
H 0 0 1.1816966 1.30195 10.2% - 0s
H 0 0 1.1885753 1.30195 9.54% - 0s
0 2 1.30195 0 15 1.18858 1.30195 9.54% - 0s
* 25 11 11 1.1961911 1.27068 6.23% 4.9 0s
Cutting planes:
Gomory: 8
Implied bound: 1
MIR: 1
Flow cover: 10
Explored 44 nodes (496 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.19619 1.18858 1.1817 1.00692
Optimal solution found (tolerance 1.00e-02)
Best objective 1.196191144708e+00, best bound 1.196191144708e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprnqox0t7.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8rz0h8ry.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01503
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.666431e+00, 205 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66643 0 12 1.01503 1.66643 64.2% - 0s
H 0 0 1.1662982 1.66643 42.9% - 0s
0 0 1.36213 0 18 1.16630 1.36213 16.8% - 0s
0 0 1.35985 0 18 1.16630 1.35985 16.6% - 0s
0 0 1.35801 0 18 1.16630 1.35801 16.4% - 0s
0 0 1.35801 0 18 1.16630 1.35801 16.4% - 0s
0 0 1.35793 0 19 1.16630 1.35793 16.4% - 0s
0 0 1.35792 0 19 1.16630 1.35792 16.4% - 0s
0 0 1.35792 0 19 1.16630 1.35792 16.4% - 0s
0 0 1.35792 0 17 1.16630 1.35792 16.4% - 0s
0 2 1.35792 0 17 1.16630 1.35792 16.4% - 0s
H 32 21 1.1815359 1.31545 11.3% 6.4 0s
* 40 10 14 1.2185018 1.27545 4.67% 5.9 0s
Cutting planes:
Gomory: 6
Implied bound: 2
MIR: 1
Flow cover: 12
Explored 61 nodes (645 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.2185 1.18154 1.1663 1.01503
Optimal solution found (tolerance 1.00e-02)
Best objective 1.218501848870e+00, best bound 1.218501848870e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0thsaa4c.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4noj892r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0814
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.605460e+00, 225 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60546 0 16 1.08140 1.60546 48.5% - 0s
0 0 1.32008 0 29 1.08140 1.32008 22.1% - 0s
0 0 1.30175 0 24 1.08140 1.30175 20.4% - 0s
0 0 1.29756 0 25 1.08140 1.29756 20.0% - 0s
0 0 1.29754 0 24 1.08140 1.29754 20.0% - 0s
0 0 1.29720 0 26 1.08140 1.29720 20.0% - 0s
0 0 1.29682 0 27 1.08140 1.29682 19.9% - 0s
0 0 1.29680 0 26 1.08140 1.29680 19.9% - 0s
0 0 1.29673 0 29 1.08140 1.29673 19.9% - 0s
0 0 1.29673 0 29 1.08140 1.29673 19.9% - 0s
H 0 0 1.1380995 1.29673 13.9% - 0s
0 2 1.29673 0 28 1.13810 1.29673 13.9% - 0s
H 29 24 1.1527519 1.24948 8.39% 8.9 0s
* 203 0 16 1.1627912 1.17041 0.66% 5.4 0s
Cutting planes:
Gomory: 10
Cover: 2
Implied bound: 11
MIR: 5
Flow cover: 16
Inf proof: 6
Explored 212 nodes (1558 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.16279 1.15275 1.1381 1.0814
Optimal solution found (tolerance 1.00e-02)
Best objective 1.162791238960e+00, best bound 1.170410792438e+00, gap 0.6553%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgovj2l7u.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp312u0os2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02571
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.643244e+00, 243 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64324 0 18 1.02571 1.64324 60.2% - 0s
0 0 1.34788 0 34 1.02571 1.34788 31.4% - 0s
0 0 1.34496 0 34 1.02571 1.34496 31.1% - 0s
0 0 1.34496 0 34 1.02571 1.34496 31.1% - 0s
0 0 1.34158 0 36 1.02571 1.34158 30.8% - 0s
0 0 1.34137 0 39 1.02571 1.34137 30.8% - 0s
0 0 1.33831 0 42 1.02571 1.33831 30.5% - 0s
0 0 1.33830 0 42 1.02571 1.33830 30.5% - 0s
0 0 1.33798 0 41 1.02571 1.33798 30.4% - 0s
0 0 1.33798 0 41 1.02571 1.33798 30.4% - 0s
0 2 1.33798 0 35 1.02571 1.33798 30.4% - 0s
* 45 29 18 1.1966411 1.28403 7.30% 6.7 0s
Cutting planes:
Gomory: 9
Implied bound: 12
Flow cover: 25
Explored 156 nodes (1438 simplex iterations) in 0.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.19664 1.02571
Optimal solution found (tolerance 1.00e-02)
Best objective 1.196641079154e+00, best bound 1.206042701272e+00, gap 0.7857%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdaf3rrxj.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkp4gyki5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07128
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.599978e+00, 274 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59998 0 21 1.07128 1.59998 49.4% - 0s
0 0 1.30439 0 24 1.07128 1.30439 21.8% - 0s
0 0 1.29742 0 23 1.07128 1.29742 21.1% - 0s
0 0 1.29736 0 24 1.07128 1.29736 21.1% - 0s
0 0 1.29736 0 24 1.07128 1.29736 21.1% - 0s
0 2 1.29736 0 24 1.07128 1.29736 21.1% - 0s
* 57 35 21 1.1529410 1.23806 7.38% 7.2 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 9
MIR: 3
Flow cover: 16
Inf proof: 2
Explored 303 nodes (2368 simplex iterations) in 0.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.15294 1.07128
Optimal solution found (tolerance 1.00e-02)
Best objective 1.152940970009e+00, best bound 1.162771453455e+00, gap 0.8526%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx1enfu84.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiii0cys2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03568
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.595225e+00, 299 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.59522 0 24 1.03568 1.59522 54.0% - 0s
0 0 1.30171 0 24 1.03568 1.30171 25.7% - 0s
0 0 1.29515 0 25 1.03568 1.29515 25.1% - 0s
0 0 1.29507 0 26 1.03568 1.29507 25.0% - 0s
0 0 1.29507 0 26 1.03568 1.29507 25.0% - 0s
0 2 1.29507 0 26 1.03568 1.29507 25.0% - 0s
H 72 34 1.1457759 1.23627 7.90% 7.5 0s
Cutting planes:
Gomory: 12
Cover: 1
Implied bound: 10
MIR: 3
Flow cover: 21
Inf proof: 1
Explored 375 nodes (2938 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.14578 1.03568
Optimal solution found (tolerance 1.00e-02)
Best objective 1.145775883326e+00, best bound 1.145775883326e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9s0eon9q.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo65m560a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03974
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.572063e+00, 329 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57206 0 27 1.03974 1.57206 51.2% - 0s
0 0 1.27711 0 30 1.03974 1.27711 22.8% - 0s
0 0 1.27048 0 29 1.03974 1.27048 22.2% - 0s
0 0 1.27041 0 30 1.03974 1.27041 22.2% - 0s
0 0 1.27041 0 29 1.03974 1.27041 22.2% - 0s
0 2 1.27041 0 29 1.03974 1.27041 22.2% - 0s
* 95 25 33 1.1212927 1.21664 8.50% 5.8 0s
Cutting planes:
Gomory: 14
Cover: 1
Implied bound: 6
MIR: 2
Flow cover: 17
Inf proof: 3
Explored 493 nodes (3105 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.12129 1.03974
Optimal solution found (tolerance 1.00e-02)
Best objective 1.121292734782e+00, best bound 1.123657687185e+00, gap 0.2109%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7n3fwlni.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi33lctl7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01996
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.560089e+00, 361 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56009 0 30 1.01996 1.56009 53.0% - 0s
0 0 1.25755 0 31 1.01996 1.25755 23.3% - 0s
0 0 1.25135 0 33 1.01996 1.25135 22.7% - 0s
0 0 1.25127 0 33 1.01996 1.25127 22.7% - 0s
0 0 1.25119 0 39 1.01996 1.25119 22.7% - 0s
0 0 1.25119 0 39 1.01996 1.25119 22.7% - 0s
0 2 1.25119 0 39 1.01996 1.25119 22.7% - 0s
* 114 62 41 1.1067415 1.17205 5.90% 5.7 0s
Cutting planes:
Gomory: 14
Cover: 2
Implied bound: 14
MIR: 2
Flow cover: 18
Inf proof: 2
Explored 592 nodes (3987 simplex iterations) in 0.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.10674 1.01996
Optimal solution found (tolerance 1.00e-02)
Best objective 1.106741474572e+00, best bound 1.110633687971e+00, gap 0.3517%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzbxqn4e3.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbs9m03al.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00453
Presolve removed 312 rows and 204 columns
Presolve time: 0.02s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.560342e+00, 373 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56034 0 35 1.00453 1.56034 55.3% - 0s
0 0 1.24963 0 29 1.00453 1.24963 24.4% - 0s
0 0 1.24368 0 32 1.00453 1.24368 23.8% - 0s
0 0 1.24354 0 30 1.00453 1.24354 23.8% - 0s
0 0 1.24280 0 41 1.00453 1.24280 23.7% - 0s
0 0 1.24280 0 41 1.00453 1.24280 23.7% - 0s
0 2 1.24280 0 41 1.00453 1.24280 23.7% - 0s
* 316 145 50 1.0770757 1.18434 10.0% 7.0 0s
* 1153 28 50 1.0946327 1.10317 0.78% 7.0 0s
Cutting planes:
Gomory: 18
Cover: 1
Implied bound: 20
MIR: 3
Flow cover: 23
Inf proof: 9
Explored 1229 nodes (9121 simplex iterations) in 0.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.09463 1.07708 1.00453
Optimal solution found (tolerance 1.00e-02)
Best objective 1.094632714256e+00, best bound 1.099815524845e+00, gap 0.4735%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3fp1i3af.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp96f8q86a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01654
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.506374e+00, 392 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50637 0 41 1.01654 1.50637 48.2% - 0s
0 0 1.20074 0 37 1.01654 1.20074 18.1% - 0s
0 0 1.19500 0 41 1.01654 1.19500 17.6% - 0s
0 0 1.19488 0 39 1.01654 1.19488 17.5% - 0s
0 0 1.19468 0 51 1.01654 1.19468 17.5% - 0s
0 0 1.19468 0 50 1.01654 1.19468 17.5% - 0s
0 2 1.19468 0 50 1.01654 1.19468 17.5% - 0s
* 1428 253 48 1.0248049 1.06389 3.81% 8.1 0s
* 1848 144 60 1.0385916 1.05003 1.10% 7.6 1s
* 1905 16 53 1.0488732 1.04981 0.09% 7.5 1s
Cutting planes:
Gomory: 20
Cover: 9
Implied bound: 23
MIR: 6
Flow cover: 21
Inf proof: 22
Explored 1944 nodes (15132 simplex iterations) in 1.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.04887 1.03859 1.0248 1.01654
Optimal solution found (tolerance 1.00e-02)
Best objective 1.048873190454e+00, best bound 1.049810053234e+00, gap 0.0893%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpte1dr19h.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxaxq2q_x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.984252
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.428066e+00, 448 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42807 0 38 0.98425 1.42807 45.1% - 0s
0 0 1.13202 0 33 0.98425 1.13202 15.0% - 0s
0 0 1.13200 0 33 0.98425 1.13200 15.0% - 0s
0 0 1.11026 0 36 0.98425 1.11026 12.8% - 0s
0 0 1.11014 0 34 0.98425 1.11014 12.8% - 0s
0 0 1.10996 0 43 0.98425 1.10996 12.8% - 0s
0 0 1.10996 0 42 0.98425 1.10996 12.8% - 0s
0 2 1.10996 0 42 0.98425 1.10996 12.8% - 0s
Cutting planes:
Gomory: 23
Implied bound: 14
MIR: 5
Flow cover: 23
Inf proof: 6
Explored 483 nodes (3788 simplex iterations) in 0.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.984252
Optimal solution found (tolerance 1.00e-02)
Best objective 9.842517959156e-01, best bound 9.907123946804e-01, gap 0.6564%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoyw3jzrq.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6n5vx5lp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.925114
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.415776e+00, 451 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.41578 0 47 0.92511 1.41578 53.0% - 0s
0 0 1.11997 0 48 0.92511 1.11997 21.1% - 0s
0 0 1.11997 0 51 0.92511 1.11997 21.1% - 0s
0 0 1.11629 0 44 0.92511 1.11629 20.7% - 0s
0 0 1.11618 0 42 0.92511 1.11618 20.7% - 0s
0 0 1.11597 0 48 0.92511 1.11597 20.6% - 0s
0 0 1.11597 0 47 0.92511 1.11597 20.6% - 0s
0 2 1.11597 0 46 0.92511 1.11597 20.6% - 0s
* 1790 476 80 0.9450934 1.00039 5.85% 9.0 1s
* 2731 425 68 0.9468912 0.99328 4.90% 9.5 3s
* 3630 44 70 0.9545913 0.95935 0.50% 9.7 4s
Cutting planes:
Gomory: 45
Cover: 4
Implied bound: 7
Projected implied bound: 18
Clique: 1
MIR: 7
Flow cover: 19
Inf proof: 17
Explored 3659 nodes (36327 simplex iterations) in 4.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.954591 0.946891 0.945093 0.925114
Optimal solution found (tolerance 1.00e-02)
Best objective 9.545912639669e-01, best bound 9.593511451565e-01, gap 0.4986%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphsbrm0bz.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsi_pf0us.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.951174
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.382591e+00, 500 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38259 0 52 0.95117 1.38259 45.4% - 0s
0 0 1.11546 0 50 0.95117 1.11546 17.3% - 0s
0 0 1.10976 0 56 0.95117 1.10976 16.7% - 0s
0 0 1.10972 0 53 0.95117 1.10972 16.7% - 0s
0 0 1.10952 0 65 0.95117 1.10952 16.6% - 0s
0 0 1.10952 0 61 0.95117 1.10952 16.6% - 0s
0 2 1.10952 0 61 0.95117 1.10952 16.6% - 0s
Cutting planes:
Gomory: 53
Cover: 7
Implied bound: 10
Projected implied bound: 21
MIR: 4
Flow cover: 19
Inf proof: 25
Explored 4372 nodes (40926 simplex iterations) in 4.83 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.951174
Optimal solution found (tolerance 1.00e-02)
Best objective 9.511740550468e-01, best bound 9.566056279619e-01, gap 0.5710%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmqj_i4x0.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpifrzh0l0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.967506
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.374773e+00, 508 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37477 0 53 0.96751 1.37477 42.1% - 0s
0 0 1.13450 0 54 0.96751 1.13450 17.3% - 0s
0 0 1.13450 0 54 0.96751 1.13450 17.3% - 0s
0 0 1.12376 0 62 0.96751 1.12376 16.2% - 0s
0 0 1.12337 0 66 0.96751 1.12337 16.1% - 0s
0 0 1.12335 0 66 0.96751 1.12335 16.1% - 0s
0 0 1.12301 0 70 0.96751 1.12301 16.1% - 0s
0 0 1.12301 0 64 0.96751 1.12301 16.1% - 0s
0 2 1.12301 0 64 0.96751 1.12301 16.1% - 0s
Cutting planes:
Gomory: 47
Cover: 9
Implied bound: 12
Projected implied bound: 24
Clique: 1
Flow cover: 21
Inf proof: 9
Explored 3322 nodes (34648 simplex iterations) in 4.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.967506
Optimal solution found (tolerance 1.00e-02)
Best objective 9.675055553258e-01, best bound 9.770486295068e-01, gap 0.9864%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp69f21h3o.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa64q9dov.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.949956
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.345610e+00, 547 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34561 0 57 0.94996 1.34561 41.6% - 0s
0 0 1.12885 0 59 0.94996 1.12885 18.8% - 0s
0 0 1.12406 0 65 0.94996 1.12406 18.3% - 0s
0 0 1.12404 0 66 0.94996 1.12404 18.3% - 0s
0 0 1.12377 0 72 0.94996 1.12377 18.3% - 0s
0 0 1.12377 0 65 0.94996 1.12377 18.3% - 0s
0 2 1.12377 0 65 0.94996 1.12377 18.3% - 0s
2957 394 cutoff 24 0.94996 0.98307 3.49% 12.1 5s
Cutting planes:
Gomory: 64
Implied bound: 15
Projected implied bound: 28
MIR: 6
Flow cover: 24
Inf proof: 19
Explored 4046 nodes (50859 simplex iterations) in 6.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.949956
Optimal solution found (tolerance 1.00e-02)
Best objective 9.499558676557e-01, best bound 9.581074696686e-01, gap 0.8581%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmpq9b0e5.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2a2acvjj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.957547
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.333947e+00, 546 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33395 0 59 0.95755 1.33395 39.3% - 0s
0 0 1.12773 0 53 0.95755 1.12773 17.8% - 0s
0 0 1.12750 0 53 0.95755 1.12750 17.7% - 0s
0 0 1.12718 0 55 0.95755 1.12718 17.7% - 0s
0 0 1.12718 0 55 0.95755 1.12718 17.7% - 0s
0 2 1.12718 0 55 0.95755 1.12718 17.7% - 0s
* 1193 427 91 0.9576691 1.04027 8.63% 12.6 3s
2603 239 cutoff 69 0.95767 0.98358 2.71% 13.6 5s
* 3069 244 85 0.9589819 0.97701 1.88% 13.7 5s
Cutting planes:
Gomory: 60
Cover: 1
Implied bound: 11
Projected implied bound: 23
MIR: 4
Flow cover: 26
Inf proof: 17
Explored 3635 nodes (49372 simplex iterations) in 6.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.958982 0.957669 0.957547
Optimal solution found (tolerance 1.00e-02)
Best objective 9.589818816416e-01, best bound 9.636975429491e-01, gap 0.4917%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_o_tt9t_.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt_qnv8f6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.928527
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.285702e+00, 602 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28570 0 58 0.92853 1.28570 38.5% - 0s
0 0 1.09417 0 51 0.92853 1.09417 17.8% - 0s
0 0 1.08715 0 60 0.92853 1.08715 17.1% - 0s
0 0 1.08595 0 54 0.92853 1.08595 17.0% - 0s
0 0 1.08595 0 54 0.92853 1.08595 17.0% - 0s
0 0 1.08507 0 64 0.92853 1.08507 16.9% - 0s
0 0 1.08491 0 66 0.92853 1.08491 16.8% - 0s
0 0 1.08490 0 65 0.92853 1.08490 16.8% - 0s
0 0 1.08479 0 63 0.92853 1.08479 16.8% - 0s
0 0 1.08479 0 60 0.92853 1.08479 16.8% - 0s
0 2 1.08479 0 60 0.92853 1.08479 16.8% - 0s
2657 71 cutoff 83 0.92853 0.94226 1.48% 12.8 5s
Cutting planes:
Gomory: 61
Implied bound: 3
Projected implied bound: 21
MIR: 5
Flow cover: 22
Inf proof: 10
Explored 2768 nodes (36083 simplex iterations) in 5.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.928527
Optimal solution found (tolerance 1.00e-02)
Best objective 9.285265264828e-01, best bound 9.332614316049e-01, gap 0.5099%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpql8spdp7.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9mqqjgtd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939912
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.284590e+00, 624 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28459 0 61 0.93991 1.28459 36.7% - 0s
0 0 1.10116 0 64 0.93991 1.10116 17.2% - 0s
0 0 1.09457 0 68 0.93991 1.09457 16.5% - 0s
0 0 1.09341 0 76 0.93991 1.09341 16.3% - 0s
0 0 1.09341 0 66 0.93991 1.09341 16.3% - 0s
0 2 1.09341 0 66 0.93991 1.09341 16.3% - 0s
H 762 460 0.9399116 1.03811 10.4% 8.7 0s
H 1735 467 0.9399116 1.03030 9.62% 15.4 4s
H 1736 444 0.9399116 1.03030 9.62% 15.4 4s
2115 367 0.95183 35 60 0.93991 1.00677 7.11% 16.7 5s
Cutting planes:
Gomory: 67
Implied bound: 12
Projected implied bound: 28
MIR: 7
Flow cover: 29
Inf proof: 29
Explored 4310 nodes (68514 simplex iterations) in 8.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.939912 0.939912 0.939912 0.939912
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (5.3989e-06) exceeds tolerance
Warning: max bound violation (1.8534e-06) exceeds tolerance
Best objective 9.399115599472e-01, best bound 9.479680899914e-01, gap 0.8572%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmpzhbe9k.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd8b8gx_c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x1333_ by 0.999999997
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.281104e+00, 673 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28110 0 64 - 1.28110 - - 0s
Another try with MIP start
0 0 1.10265 0 66 - 1.10265 - - 0s
0 0 1.09420 0 66 - 1.09420 - - 0s
0 0 1.09420 0 66 - 1.09420 - - 0s
0 0 1.09414 0 67 - 1.09414 - - 0s
0 0 1.09414 0 61 - 1.09414 - - 0s
0 2 1.09414 0 59 - 1.09414 - - 0s
2275 1031 infeasible 101 - 1.03329 - 14.7 5s
6292 3695 0.76697 31 65 - 1.00559 - 16.9 10s
* 8588 944 99 0.9107416 1.00156 10.0% 16.4 12s
10933 1476 0.94027 53 45 0.91074 0.98501 8.16% 15.8 15s
*11733 894 106 0.9371198 0.98172 4.76% 15.7 16s
*13461 829 107 0.9392287 0.97312 3.61% 15.8 18s
14681 701 0.95548 48 54 0.93923 0.96398 2.64% 15.9 20s
*15665 353 96 0.9421920 0.95396 1.25% 15.9 21s
*16101 297 91 0.9432226 0.95184 0.91% 15.8 21s
Cutting planes:
Gomory: 43
Implied bound: 19
Projected implied bound: 10
MIR: 5
Flow cover: 26
Inf proof: 82
Explored 16167 nodes (266378 simplex iterations) in 21.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.943223 0.942192 0.939229 ... 0.910742
Optimal solution found (tolerance 1.00e-02)
Best objective 9.432225998446e-01, best bound 9.502212636576e-01, gap 0.7420%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfex6g1er.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptgr4t61o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.923298
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.249310e+00, 674 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24931 0 67 0.92330 1.24931 35.3% - 0s
0 0 1.07917 0 71 0.92330 1.07917 16.9% - 0s
0 0 1.07917 0 71 0.92330 1.07917 16.9% - 0s
0 0 1.07134 0 76 0.92330 1.07134 16.0% - 0s
0 0 1.07081 0 77 0.92330 1.07081 16.0% - 0s
0 0 1.06975 0 83 0.92330 1.06975 15.9% - 0s
0 0 1.06969 0 82 0.92330 1.06969 15.9% - 0s
0 0 1.06621 0 81 0.92330 1.06621 15.5% - 0s
0 0 1.06590 0 83 0.92330 1.06590 15.4% - 0s
0 0 1.06590 0 82 0.92330 1.06590 15.4% - 0s
0 0 1.06527 0 85 0.92330 1.06527 15.4% - 0s
0 0 1.06527 0 81 0.92330 1.06527 15.4% - 0s
0 2 1.06527 0 79 0.92330 1.06527 15.4% - 0s
2091 368 cutoff 49 0.92330 0.96789 4.83% 15.4 5s
Cutting planes:
Gomory: 61
Implied bound: 10
Projected implied bound: 23
MIR: 4
Flow cover: 36
Inf proof: 14
Explored 3620 nodes (56067 simplex iterations) in 7.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.923298
Optimal solution found (tolerance 1.00e-02)
Best objective 9.232979376389e-01, best bound 9.319246622617e-01, gap 0.9343%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_f9n0cqf.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpglsks7hf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.897865
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.210102e+00, 677 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21010 0 66 0.89786 1.21010 34.8% - 0s
0 0 1.04376 0 69 0.89786 1.04376 16.2% - 0s
0 0 1.04376 0 69 0.89786 1.04376 16.2% - 0s
0 0 1.03705 0 73 0.89786 1.03705 15.5% - 0s
0 0 1.03644 0 77 0.89786 1.03644 15.4% - 0s
0 0 1.03644 0 77 0.89786 1.03644 15.4% - 0s
0 0 1.03528 0 83 0.89786 1.03528 15.3% - 0s
0 0 1.03510 0 85 0.89786 1.03510 15.3% - 0s
0 0 1.03510 0 85 0.89786 1.03510 15.3% - 0s
0 0 1.03373 0 90 0.89786 1.03373 15.1% - 0s
0 0 1.03354 0 90 0.89786 1.03354 15.1% - 0s
0 0 1.03289 0 91 0.89786 1.03289 15.0% - 0s
0 0 1.03289 0 80 0.89786 1.03289 15.0% - 0s
0 2 1.03289 0 80 0.89786 1.03289 15.0% - 0s
1972 394 cutoff 26 0.89786 0.95686 6.57% 14.9 5s
4687 301 cutoff 30 0.89786 0.92334 2.84% 16.7 10s
Cutting planes:
Gomory: 84
Cover: 2
Implied bound: 16
Projected implied bound: 24
Clique: 1
MIR: 12
Flow cover: 32
Inf proof: 43
Explored 5502 nodes (89468 simplex iterations) in 11.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.897865
Optimal solution found (tolerance 1.00e-02)
Best objective 8.978647074763e-01, best bound 9.022388698275e-01, gap 0.4872%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfog1ocae.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnn3h7_to.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.899584
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.201753e+00, 696 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20175 0 70 0.89958 1.20175 33.6% - 0s
0 0 1.04436 0 74 0.89958 1.04436 16.1% - 0s
0 0 1.04436 0 74 0.89958 1.04436 16.1% - 0s
0 0 1.04155 0 73 0.89958 1.04155 15.8% - 0s
0 0 1.04144 0 75 0.89958 1.04144 15.8% - 0s
0 0 1.04098 0 80 0.89958 1.04098 15.7% - 0s
0 0 1.04098 0 73 0.89958 1.04098 15.7% - 0s
0 2 1.04098 0 73 0.89958 1.04098 15.7% - 0s
1297 641 1.00654 18 81 0.89958 1.00677 11.9% 15.5 5s
3256 986 0.97683 23 103 0.89958 0.98405 9.39% 20.7 10s
H 3851 1162 0.8999913 0.97915 8.80% 21.7 12s
H 3856 1162 0.8999913 0.97915 8.80% 21.7 12s
4862 1389 0.92976 37 73 0.89999 0.97075 7.86% 23.3 15s
6741 1453 cutoff 36 0.89999 0.95992 6.66% 25.0 20s
H 7263 1473 0.8999913 0.95770 6.41% 25.0 21s
8753 1453 cutoff 35 0.89999 0.94808 5.34% 25.0 25s
10626 1338 0.93333 37 95 0.89999 0.93739 4.16% 24.8 30s
13261 1032 0.92236 52 58 0.89999 0.92256 2.51% 23.5 35s
Cutting planes:
Gomory: 91
Cover: 1
Implied bound: 21
Projected implied bound: 27
MIR: 12
Flow cover: 39
Inf proof: 101
Explored 14902 nodes (338864 simplex iterations) in 36.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.899991 0.899991 0.899991 0.899584
Optimal solution found (tolerance 1.00e-02)
Best objective 8.999912681290e-01, best bound 9.089166944552e-01, gap 0.9917%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9s7fv6sd.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpta0048wa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x2266_ by 1.000000000
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.167511e+00, 734 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16751 0 71 - 1.16751 - - 0s
Another try with MIP start
0 0 1.02337 0 71 - 1.02337 - - 0s
0 0 1.02327 0 73 - 1.02327 - - 0s
0 0 1.01680 0 79 - 1.01680 - - 0s
0 0 1.01674 0 79 - 1.01674 - - 0s
0 0 1.01612 0 84 - 1.01612 - - 0s
0 0 1.01612 0 74 - 1.01612 - - 0s
0 2 1.01612 0 74 - 1.01612 - - 0s
1737 905 infeasible 34 - 0.98631 - 12.4 5s
4281 2258 infeasible 50 - 0.96405 - 17.6 10s
6834 3936 0.70296 55 80 - 0.95700 - 19.2 15s
9827 5949 0.55462 77 41 - 0.94901 - 20.6 20s
12647 7762 infeasible 64 - 0.94603 - 21.2 25s
16128 9840 0.52032 38 66 - 0.94169 - 21.5 30s
*17629 10399 111 0.1670532 0.94135 464% 21.6 32s
18109 10746 0.78420 61 53 0.16705 0.94070 463% 21.7 35s
20923 12097 0.86058 42 74 0.16705 0.93754 461% 22.1 49s
20932 12103 0.71377 70 118 0.16705 0.93754 461% 22.1 50s
20940 12108 0.87400 31 134 0.16705 0.93754 461% 22.1 56s
20946 12112 0.88454 39 130 0.16705 0.93754 461% 22.1 60s
20954 12118 0.82901 42 147 0.16705 0.93754 461% 22.1 65s
20966 12126 0.65048 32 166 0.16705 0.93754 461% 22.1 70s
20974 12131 0.67194 33 141 0.16705 0.93754 461% 22.1 75s
20983 12137 0.84052 57 148 0.16705 0.93754 461% 22.1 80s
20990 12142 0.73063 51 154 0.16705 0.93754 461% 22.1 85s
20997 12146 0.54723 55 148 0.16705 0.93754 461% 22.1 90s
21006 12152 0.52792 68 155 0.16705 0.93754 461% 22.0 95s
21016 12159 0.85921 38 163 0.16705 0.93754 461% 22.0 100s
21025 12165 0.56204 50 161 0.16705 0.93754 461% 22.0 105s
21033 12170 0.91884 39 161 0.16705 0.93754 461% 22.0 110s
21042 12176 0.41552 40 150 0.16705 0.93754 461% 22.0 115s
21051 12182 0.66659 39 150 0.16705 0.93754 461% 22.0 120s
21060 12188 0.68464 41 141 0.16705 0.93754 461% 22.0 125s
21067 12195 0.93754 27 134 0.16705 0.93754 461% 22.8 130s
21072 12195 0.91526 29 122 0.16705 0.93754 461% 22.9 135s
21305 12286 0.87558 64 90 0.16705 0.93550 460% 23.0 140s
21513 12324 0.90425 42 129 0.16705 0.93508 460% 23.2 145s
22448 12595 0.93056 43 123 0.16705 0.93197 458% 23.8 151s
23199 12822 0.78602 48 89 0.16705 0.93000 457% 24.3 155s
24025 13045 infeasible 75 0.16705 0.92948 456% 25.1 160s
24669 13194 infeasible 72 0.16705 0.92916 456% 25.8 165s
25491 13388 0.92812 54 81 0.16705 0.92893 456% 26.7 170s
H25977 12902 0.1670532 0.92885 456% 27.1 174s
25999 12904 0.74812 57 93 0.16705 0.92885 456% 27.2 175s
26946 13133 0.91362 59 116 0.16705 0.92871 456% 27.8 186s
H26947 12232 0.4333439 0.92871 114% 27.8 186s
27429 12318 infeasible 74 0.43334 0.92859 114% 28.2 190s
28097 12436 0.80537 65 40 0.43334 0.92828 114% 29.0 195s
28953 12599 0.88391 56 94 0.43334 0.92809 114% 29.7 200s
30164 12825 0.92176 57 102 0.43334 0.92771 114% 30.4 205s
30609 12852 0.91382 57 104 0.43334 0.92745 114% 31.0 210s
31920 13029 infeasible 66 0.43334 0.92716 114% 31.7 216s
*32725 10529 100 0.8051307 0.92701 15.1% 32.1 219s
32853 10531 0.89885 50 114 0.80513 0.92700 15.1% 32.1 221s
33667 10585 0.91489 48 108 0.80513 0.92689 15.1% 32.7 225s
34574 10662 0.84453 51 109 0.80513 0.92669 15.1% 33.1 230s
35244 10601 cutoff 44 0.80513 0.92647 15.1% 34.1 236s
35729 10570 0.91130 63 80 0.80513 0.92639 15.1% 34.7 241s
36545 10552 0.80948 60 32 0.80513 0.92608 15.0% 35.2 246s
37249 10568 0.90831 51 130 0.80513 0.92583 15.0% 35.8 250s
37948 10552 0.87724 40 133 0.80513 0.92564 15.0% 36.4 255s
38656 10542 cutoff 57 0.80513 0.92544 14.9% 37.3 261s
39538 10565 0.91960 55 121 0.80513 0.92528 14.9% 37.8 266s
40286 10576 0.87179 42 139 0.80513 0.92513 14.9% 38.5 271s
40914 10593 cutoff 82 0.80513 0.92498 14.9% 38.9 276s
41853 10580 0.88864 56 110 0.80513 0.92471 14.9% 39.4 281s
42626 10588 cutoff 69 0.80513 0.92453 14.8% 39.7 287s
43369 10584 0.88175 53 109 0.80513 0.92437 14.8% 40.3 291s
44150 10609 0.91217 52 126 0.80513 0.92405 14.8% 40.7 296s
44959 10634 0.86616 57 97 0.80513 0.92383 14.7% 41.2 301s
45648 10633 0.90578 54 116 0.80513 0.92350 14.7% 41.7 306s
H45654 9291 0.8325460 0.92350 10.9% 41.7 306s
H45682 8785 0.8325460 0.92346 10.9% 41.8 306s
46041 8745 cutoff 58 0.83255 0.92337 10.9% 42.1 311s
46756 8713 0.91814 50 125 0.83255 0.92316 10.9% 42.5 317s
47086 8732 0.89959 57 118 0.83255 0.92307 10.9% 42.7 320s
47891 8742 0.87392 61 117 0.83255 0.92282 10.8% 43.0 325s
48631 8730 0.90506 56 112 0.83255 0.92258 10.8% 43.5 330s
49260 8672 0.87661 66 98 0.83255 0.92236 10.8% 44.0 335s
50265 9018 0.86228 64 59 0.83255 0.92215 10.8% 44.2 340s
*50975 7271 108 0.8658017 0.92195 6.49% 44.3 343s
51209 7365 0.89945 43 126 0.86580 0.92184 6.47% 44.5 346s
*51974 7352 104 0.8678005 0.92169 6.21% 44.8 348s
51983 7396 0.87392 46 118 0.86780 0.92169 6.21% 44.8 351s
52769 7632 0.89138 53 108 0.86780 0.92148 6.19% 45.2 356s
53411 7806 0.92096 52 78 0.86780 0.92126 6.16% 45.6 362s
53815 7898 0.88904 51 110 0.86780 0.92112 6.14% 45.8 365s
54517 8051 0.90812 47 120 0.86780 0.92082 6.11% 46.1 371s
55243 8281 0.91815 56 70 0.86780 0.92057 6.08% 46.5 377s
56021 8509 0.91030 61 81 0.86780 0.92032 6.05% 46.8 382s
56363 8574 0.88819 56 124 0.86780 0.92026 6.04% 47.0 385s
57295 8852 0.91203 45 116 0.86780 0.92006 6.02% 47.1 391s
57967 9091 0.90480 57 88 0.86780 0.91988 6.00% 47.4 397s
*58254 9138 109 0.8681449 0.91984 5.95% 47.4 397s
58850 9300 0.88973 47 118 0.86814 0.91969 5.94% 47.6 402s
59282 9424 0.87450 67 51 0.86814 0.91962 5.93% 47.7 405s
60343 9786 0.87313 55 119 0.86814 0.91946 5.91% 47.9 410s
61108 9985 0.91856 41 138 0.86814 0.91932 5.89% 48.1 416s
61919 10224 0.89834 63 92 0.86814 0.91911 5.87% 48.3 421s
62813 10475 0.90937 62 103 0.86814 0.91894 5.85% 48.5 426s
63614 10715 0.91504 63 63 0.86814 0.91881 5.84% 48.7 432s
64411 10865 0.87737 63 112 0.86814 0.91862 5.81% 48.9 437s
65105 11009 0.90660 55 68 0.86814 0.91851 5.80% 49.2 442s
65561 11136 infeasible 58 0.86814 0.91840 5.79% 49.2 445s
65880 11225 0.89699 45 100 0.86814 0.91829 5.78% 49.4 451s
H65882 10907 0.8706307 0.91829 5.47% 49.4 451s
*65917 9872 96 0.8779642 0.91829 4.59% 49.3 451s
65991 9860 infeasible 46 0.87796 0.91828 4.59% 49.4 455s
67007 10081 infeasible 49 0.87796 0.91806 4.57% 49.5 460s
67852 10206 infeasible 45 0.87796 0.91783 4.54% 49.6 466s
68696 10350 infeasible 66 0.87796 0.91759 4.51% 49.8 471s
69076 10424 0.89242 55 148 0.87796 0.91750 4.50% 50.0 475s
69979 10631 infeasible 56 0.87796 0.91733 4.48% 50.1 481s
70945 10810 0.89807 54 70 0.87796 0.91720 4.47% 50.2 486s
71922 10985 infeasible 53 0.87796 0.91700 4.45% 50.2 491s
72764 11185 cutoff 47 0.87796 0.91683 4.43% 50.4 497s
73138 11242 0.89236 54 94 0.87796 0.91678 4.42% 50.5 500s
73953 11387 0.89455 64 102 0.87796 0.91664 4.41% 50.8 505s
74597 11489 0.88006 47 111 0.87796 0.91642 4.38% 51.1 512s
75094 11579 infeasible 56 0.87796 0.91634 4.37% 51.1 515s
75850 11679 0.88481 54 77 0.87796 0.91625 4.36% 51.4 521s
76650 11774 cutoff 52 0.87796 0.91601 4.33% 51.6 526s
77597 11911 infeasible 58 0.87796 0.91581 4.31% 51.7 532s
78064 12028 infeasible 43 0.87796 0.91575 4.30% 51.7 535s
H78890 12158 0.8779642 0.91553 4.28% 51.9 541s
79592 12217 0.88403 54 131 0.87796 0.91538 4.26% 52.1 546s
80402 12299 infeasible 57 0.87796 0.91517 4.24% 52.3 552s
80761 12354 0.90274 58 78 0.87796 0.91497 4.22% 52.4 555s
81666 12510 infeasible 69 0.87796 0.91479 4.19% 52.6 561s
82615 12699 0.89336 67 95 0.87796 0.91457 4.17% 52.7 567s
82983 12729 0.88802 64 80 0.87796 0.91447 4.16% 52.8 570s
83843 12870 0.89260 50 114 0.87796 0.91419 4.13% 53.0 577s
83977 12846 cutoff 52 0.87796 0.91415 4.12% 53.0 580s
84791 12920 0.90634 63 99 0.87796 0.91393 4.10% 53.2 586s
85615 13003 0.90967 42 133 0.87796 0.91375 4.08% 53.4 591s
86283 13083 0.91336 47 142 0.87796 0.91356 4.05% 53.6 597s
86710 13129 0.90112 61 104 0.87796 0.91353 4.05% 53.7 600s
Cutting planes:
Gomory: 120
Cover: 217
Implied bound: 55
Projected implied bound: 39
MIR: 150
StrongCG: 3
Flow cover: 556
Inf proof: 226
Explored 87087 nodes (4698149 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.877964 0.877964 0.870631 ... 0.433344
Time limit reached
Best objective 8.779642353116e-01, best bound 9.133273563723e-01, gap 4.0279%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpza6nx73l.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppxkakzem.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [8e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.877107
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.156692e+00, 795 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15669 0 76 0.87711 1.15669 31.9% - 0s
0 0 1.02409 0 70 0.87711 1.02409 16.8% - 0s
0 0 1.02186 0 81 0.87711 1.02186 16.5% - 0s
0 0 1.02185 0 69 0.87711 1.02185 16.5% - 0s
0 0 1.02125 0 76 0.87711 1.02125 16.4% - 0s
0 0 1.02125 0 73 0.87711 1.02125 16.4% - 0s
0 2 1.02125 0 73 0.87711 1.02125 16.4% - 0s
* 1277 617 135 0.8773133 0.97976 11.7% 12.7 3s
1770 657 0.91889 45 81 0.87731 0.96010 9.44% 15.1 5s
4112 1138 0.93490 23 87 0.87731 0.93490 6.56% 17.7 10s
H 4692 1235 0.8775059 0.93071 6.06% 18.1 11s
5877 1329 cutoff 43 0.87751 0.92110 4.97% 18.5 15s
8770 1519 0.90360 53 71 0.87751 0.90667 3.32% 17.8 20s
11396 1258 0.89499 39 75 0.87751 0.89682 2.20% 17.8 25s
Cutting planes:
Gomory: 89
Cover: 1
Implied bound: 19
Projected implied bound: 24
MIR: 12
Flow cover: 32
Inf proof: 77
Explored 13454 nodes (236662 simplex iterations) in 28.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.877506 0.877313 0.877107
Optimal solution found (tolerance 1.00e-02)
Best objective 8.775059127445e-01, best bound 8.857628355404e-01, gap 0.9410%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp49k9u_jb.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpricbqfg5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.863928
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.133907e+00, 846 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13391 0 79 0.86393 1.13391 31.3% - 0s
0 0 1.00934 0 76 0.86393 1.00934 16.8% - 0s
0 0 1.00909 0 78 0.86393 1.00909 16.8% - 0s
0 0 1.00590 0 95 0.86393 1.00590 16.4% - 0s
0 0 1.00581 0 94 0.86393 1.00581 16.4% - 0s
0 0 1.00523 0 94 0.86393 1.00523 16.4% - 0s
0 0 1.00523 0 88 0.86393 1.00523 16.4% - 0s
0 2 1.00523 0 88 0.86393 1.00523 16.4% - 0s
1069 540 0.90749 33 82 0.86393 0.97430 12.8% 18.1 5s
2631 778 0.90460 26 93 0.86393 0.95087 10.1% 22.2 10s
4155 1026 0.89481 27 89 0.86393 0.93340 8.04% 24.0 15s
5872 1137 cutoff 24 0.86393 0.91859 6.33% 24.6 20s
H 6103 1183 0.8639282 0.91679 6.12% 24.7 20s
7728 1094 cutoff 27 0.86393 0.90381 4.62% 25.0 25s
H 8485 1040 0.8639282 0.89886 4.04% 24.9 27s
9940 826 infeasible 37 0.86393 0.88737 2.71% 24.9 30s
Cutting planes:
Gomory: 93
Cover: 4
Implied bound: 27
Projected implied bound: 30
MIR: 11
Flow cover: 48
Inf proof: 79
Explored 11827 nodes (284917 simplex iterations) in 34.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.863928 0.863928 0.863928
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (9.7536e-06) exceeds tolerance
Best objective 8.639281921765e-01, best bound 8.711230277945e-01, gap 0.8328%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpt86_sq8i.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplgdh2cfu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.844706
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.102078e+00, 786 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10208 0 79 0.84471 1.10208 30.5% - 0s
0 0 0.98814 0 81 0.84471 0.98814 17.0% - 0s
0 0 0.98527 0 94 0.84471 0.98527 16.6% - 0s
0 0 0.98526 0 94 0.84471 0.98526 16.6% - 0s
0 0 0.98474 0 86 0.84471 0.98474 16.6% - 0s
0 0 0.98474 0 75 0.84471 0.98474 16.6% - 0s
0 2 0.98474 0 75 0.84471 0.98474 16.6% - 0s
1598 585 0.92332 25 96 0.84471 0.93442 10.6% 16.2 5s
3249 830 0.86746 40 87 0.84471 0.91639 8.49% 22.1 10s
4760 891 cutoff 34 0.84471 0.90253 6.85% 25.4 15s
7010 799 0.86317 35 81 0.84471 0.88305 4.54% 26.0 20s
9068 624 0.86548 30 100 0.84471 0.86681 2.62% 25.0 25s
Cutting planes:
Gomory: 92
Cover: 4
Implied bound: 24
Projected implied bound: 29
MIR: 7
Flow cover: 33
Inf proof: 80
Explored 11041 nodes (256357 simplex iterations) in 27.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.844706
Optimal solution found (tolerance 1.00e-02)
Best objective 8.447059726827e-01, best bound 8.522398345597e-01, gap 0.8919%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm_559gr7.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxxygu3_2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.822987
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.071118e+00, 822 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07112 0 80 0.82299 1.07112 30.2% - 0s
0 0 0.96112 0 81 0.82299 0.96112 16.8% - 0s
0 0 0.96112 0 81 0.82299 0.96112 16.8% - 0s
0 0 0.95809 0 94 0.82299 0.95809 16.4% - 0s
0 0 0.95806 0 96 0.82299 0.95806 16.4% - 0s
0 0 0.95735 0 94 0.82299 0.95735 16.3% - 0s
0 0 0.95735 0 94 0.82299 0.95735 16.3% - 0s
0 0 0.95734 0 96 0.82299 0.95734 16.3% - 0s
0 0 0.95734 0 85 0.82299 0.95734 16.3% - 0s
0 2 0.95734 0 85 0.82299 0.95734 16.3% - 0s
992 523 0.88516 32 84 0.82299 0.91729 11.5% 16.8 5s
2941 798 cutoff 29 0.82299 0.90016 9.38% 21.5 10s
5065 999 cutoff 36 0.82299 0.88443 7.47% 22.6 15s
6773 1104 0.82981 29 95 0.82299 0.87323 6.10% 23.3 20s
8890 1004 cutoff 36 0.82299 0.85672 4.10% 24.3 25s
10893 459 cutoff 56 0.82299 0.83514 1.48% 23.9 30s
Cutting planes:
Gomory: 80
Cover: 2
Implied bound: 24
Projected implied bound: 26
MIR: 7
Flow cover: 44
Inf proof: 89
Explored 11426 nodes (266494 simplex iterations) in 30.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.822987
Optimal solution found (tolerance 1.00e-02)
Best objective 8.229868634945e-01, best bound 8.303750278906e-01, gap 0.8977%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgfbchdrn.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvzzopq6e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.82079
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.054085e+00, 838 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05408 0 84 0.82079 1.05408 28.4% - 0s
0 0 1.01366 0 96 0.82079 1.01366 23.5% - 0s
0 0 1.00272 0 104 0.82079 1.00272 22.2% - 0s
0 0 1.00183 0 104 0.82079 1.00183 22.1% - 0s
0 0 1.00178 0 104 0.82079 1.00178 22.1% - 0s
0 0 1.00178 0 104 0.82079 1.00178 22.1% - 0s
0 0 1.00172 0 104 0.82079 1.00172 22.0% - 0s
0 0 1.00172 0 97 0.82079 1.00172 22.0% - 0s
0 2 1.00172 0 97 0.82079 1.00172 22.0% - 0s
1268 534 infeasible 25 0.82079 0.92088 12.2% 17.2 5s
3916 1264 0.85166 31 96 0.82079 0.87816 6.99% 16.5 10s
H 6373 1655 0.8207898 0.86491 5.37% 15.9 15s
8579 1591 0.82917 40 82 0.82079 0.85373 4.01% 16.2 20s
11196 887 0.82154 48 87 0.82079 0.83495 1.73% 16.6 25s
Cutting planes:
Gomory: 89
Implied bound: 17
Projected implied bound: 44
MIR: 5
Flow cover: 50
Inf proof: 87
Explored 12144 nodes (198012 simplex iterations) in 26.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.82079 0.82079
Optimal solution found (tolerance 1.00e-02)
Best objective 8.207898329040e-01, best bound 8.287188731560e-01, gap 0.9660%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfa5oaa8u.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6qy9g0m5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.81435
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.030876e+00, 910 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03088 0 86 0.81435 1.03088 26.6% - 0s
0 0 0.99609 0 92 0.81435 0.99609 22.3% - 0s
0 0 0.97735 0 101 0.81435 0.97735 20.0% - 0s
0 0 0.97679 0 102 0.81435 0.97679 19.9% - 0s
0 0 0.97620 0 108 0.81435 0.97620 19.9% - 0s
0 0 0.97620 0 107 0.81435 0.97620 19.9% - 0s
0 0 0.97619 0 110 0.81435 0.97619 19.9% - 0s
0 0 0.97609 0 113 0.81435 0.97609 19.9% - 0s
0 0 0.97575 0 112 0.81435 0.97575 19.8% - 0s
0 0 0.97575 0 112 0.81435 0.97575 19.8% - 0s
0 0 0.97575 0 112 0.81435 0.97575 19.8% - 0s
0 0 0.97575 0 99 0.81435 0.97575 19.8% - 0s
0 2 0.97575 0 98 0.81435 0.97575 19.8% - 0s
1046 537 cutoff 25 0.81435 0.91964 12.9% 19.5 5s
2529 600 0.82781 50 93 0.81435 0.89402 9.78% 26.9 10s
4055 922 cutoff 31 0.81435 0.88127 8.22% 28.4 15s
H 4399 1013 0.8143496 0.87900 7.94% 28.3 17s
5290 1202 infeasible 38 0.81435 0.87131 6.99% 27.9 20s
6914 1586 0.85769 36 88 0.81435 0.86123 5.76% 27.3 25s
8778 1886 cutoff 35 0.81435 0.85454 4.94% 26.6 30s
10698 2249 0.83662 38 94 0.81435 0.85078 4.47% 25.9 35s
12724 2700 0.82080 63 82 0.81435 0.84887 4.24% 25.1 40s
14834 3003 infeasible 39 0.81435 0.84533 3.80% 24.9 45s
17648 3214 0.83753 38 87 0.81435 0.84186 3.38% 24.4 51s
18887 3172 cutoff 53 0.81435 0.84015 3.17% 24.4 55s
21053 2856 0.83262 37 105 0.81435 0.83547 2.59% 24.8 60s
22972 2398 0.82671 46 63 0.81435 0.83108 2.05% 24.9 65s
25336 1622 infeasible 74 0.81435 0.82523 1.34% 24.7 70s
Cutting planes:
Gomory: 91
Implied bound: 24
Projected implied bound: 29
MIR: 12
Flow cover: 61
Inf proof: 125
Explored 27275 nodes (654288 simplex iterations) in 73.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.81435 0.81435
Optimal solution found (tolerance 1.00e-02)
Best objective 8.143496348181e-01, best bound 8.217144894027e-01, gap 0.9044%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp00bq2bgb.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnbchy4g4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.805983
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.021883e+00, 907 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02188 0 85 0.80598 1.02188 26.8% - 0s
0 0 0.98858 0 97 0.80598 0.98858 22.7% - 0s
0 0 0.98159 0 106 0.80598 0.98159 21.8% - 0s
0 0 0.98072 0 114 0.80598 0.98072 21.7% - 0s
0 0 0.98071 0 115 0.80598 0.98071 21.7% - 0s
0 0 0.98065 0 116 0.80598 0.98065 21.7% - 0s
0 0 0.98056 0 118 0.80598 0.98056 21.7% - 0s
0 0 0.98056 0 114 0.80598 0.98056 21.7% - 0s
0 2 0.98056 0 114 0.80598 0.98056 21.7% - 0s
1121 545 0.82969 55 81 0.80598 0.90554 12.4% 22.0 5s
3501 1038 0.83418 37 90 0.80598 0.86968 7.90% 21.3 10s
H 4786 1320 0.8067839 0.86102 6.72% 21.1 14s
5202 1380 0.81514 50 91 0.80678 0.85922 6.50% 21.3 15s
7009 1628 0.82778 41 102 0.80678 0.85046 5.41% 21.4 20s
8609 1787 0.80746 53 82 0.80678 0.84548 4.80% 21.7 25s
10662 1958 cutoff 47 0.80678 0.84039 4.17% 22.0 30s
13208 2035 cutoff 42 0.80678 0.83463 3.45% 22.3 35s
H13790 2069 0.8067839 0.83364 3.33% 22.3 37s
14717 2011 cutoff 49 0.80678 0.83189 3.11% 22.3 40s
17293 1907 cutoff 58 0.80678 0.82720 2.53% 22.1 45s
19994 1633 cutoff 67 0.80678 0.82057 1.71% 22.0 50s
22606 1487 cutoff 87 0.80678 0.81649 1.20% 21.1 55s
Cutting planes:
Gomory: 83
Implied bound: 41
Projected implied bound: 32
MIR: 12
Flow cover: 66
Inf proof: 132
Zero half: 1
Explored 23657 nodes (494562 simplex iterations) in 56.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.806784 0.806784 0.805983
Optimal solution found (tolerance 1.00e-02)
Best objective 8.067838760594e-01, best bound 8.146029421062e-01, gap 0.9692%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp23x_vbea.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3cc5lwcu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.79413
Presolve removed 620 rows and 402 columns
Presolve time: 0.04s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.018147e+00, 966 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01815 0 89 0.79413 1.01815 28.2% - 0s
0 0 0.98629 0 98 0.79413 0.98629 24.2% - 0s
0 0 0.96773 0 103 0.79413 0.96773 21.9% - 0s
0 0 0.96719 0 102 0.79413 0.96719 21.8% - 0s
0 0 0.96669 0 109 0.79413 0.96669 21.7% - 0s
0 0 0.96655 0 107 0.79413 0.96655 21.7% - 0s
0 0 0.96619 0 109 0.79413 0.96619 21.7% - 0s
0 0 0.96619 0 110 0.79413 0.96619 21.7% - 0s
0 0 0.96619 0 110 0.79413 0.96619 21.7% - 0s
0 0 0.96619 0 111 0.79413 0.96619 21.7% - 0s
0 0 0.96619 0 102 0.79413 0.96619 21.7% - 0s
0 2 0.96619 0 101 0.79413 0.96619 21.7% - 0s
821 580 0.89936 22 112 0.79413 0.91105 14.7% 15.7 5s
2462 835 0.83334 31 119 0.79413 0.87973 10.8% 20.9 10s
3884 1172 cutoff 33 0.79413 0.86945 9.48% 22.1 15s
H 3954 1183 0.7941296 0.86902 9.43% 22.3 15s
H 4952 1381 0.7956319 0.86411 8.61% 23.2 19s
5204 1400 cutoff 34 0.79563 0.86009 8.10% 23.6 20s
6797 1554 0.84547 29 113 0.79563 0.84781 6.56% 24.6 25s
8518 1912 0.81721 49 101 0.79563 0.84230 5.87% 23.8 30s
11006 2202 0.82619 49 95 0.79563 0.83330 4.73% 23.4 35s
13264 2357 0.80256 67 76 0.79563 0.82739 3.99% 23.4 40s
15681 2638 0.82260 58 90 0.79563 0.82284 3.42% 22.9 45s
H17814 2680 0.7958394 0.81856 2.85% 23.1 50s
H17858 2689 0.7958394 0.81850 2.85% 23.1 52s
18691 2583 0.80675 47 83 0.79584 0.81681 2.64% 23.1 55s
21056 2480 0.79826 72 75 0.79584 0.81324 2.19% 22.8 60s
23082 2250 cutoff 37 0.79584 0.80993 1.77% 22.9 65s
25621 1857 0.80059 36 104 0.79584 0.80609 1.29% 22.5 70s
Cutting planes:
Gomory: 83
Implied bound: 39
Projected implied bound: 39
Clique: 2
MIR: 15
Flow cover: 86
Inf proof: 185
Explored 27719 nodes (605064 simplex iterations) in 73.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.795839 0.795839 0.795632 ... 0.79413
Optimal solution found (tolerance 1.00e-02)
Best objective 7.958394190384e-01, best bound 8.036409796927e-01, gap 0.9803%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpya1k6esj.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_x6ub9_p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.78319
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.000917e+00, 950 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00092 0 92 0.78319 1.00092 27.8% - 0s
0 0 0.97038 0 108 0.78319 0.97038 23.9% - 0s
0 0 0.97038 0 108 0.78319 0.97038 23.9% - 0s
0 0 0.96390 0 120 0.78319 0.96390 23.1% - 0s
0 0 0.96322 0 122 0.78319 0.96322 23.0% - 0s
0 0 0.96317 0 125 0.78319 0.96317 23.0% - 0s
0 0 0.96313 0 124 0.78319 0.96313 23.0% - 0s
0 0 0.96313 0 125 0.78319 0.96313 23.0% - 0s
0 0 0.96313 0 125 0.78319 0.96313 23.0% - 0s
0 0 0.96313 0 122 0.78319 0.96313 23.0% - 0s
0 2 0.96313 0 122 0.78319 0.96313 23.0% - 0s
831 556 0.86203 27 107 0.78319 0.90332 15.3% 18.2 5s
2529 875 0.86573 26 107 0.78319 0.87737 12.0% 20.8 10s
4114 1432 0.79276 39 117 0.78319 0.86770 10.8% 22.7 15s
5964 2041 0.80742 38 99 0.78319 0.86036 9.85% 23.7 20s
7380 2336 0.83047 29 118 0.78319 0.85609 9.31% 25.1 25s
8729 2576 0.80017 28 119 0.78319 0.85299 8.91% 26.3 30s
9922 2757 0.83195 36 99 0.78319 0.85092 8.65% 26.9 35s
11462 2912 0.82077 27 122 0.78319 0.84681 8.12% 27.7 40s
12888 3043 0.82044 27 124 0.78319 0.84366 7.72% 28.5 45s
14105 3119 cutoff 31 0.78319 0.84178 7.48% 28.9 50s
15505 3219 0.79489 29 103 0.78319 0.83868 7.09% 29.4 55s
17492 3439 0.82397 33 111 0.78319 0.83454 6.56% 29.7 60s
19075 3501 cutoff 34 0.78319 0.83127 6.14% 29.9 65s
20802 3577 infeasible 33 0.78319 0.82845 5.78% 29.9 80s
22061 3596 0.80103 29 126 0.78319 0.82596 5.46% 30.5 85s
23316 3587 0.78904 55 98 0.78319 0.82303 5.09% 31.1 90s
24964 3619 0.80145 45 98 0.78319 0.81960 4.65% 31.8 95s
26391 3731 0.79421 37 109 0.78319 0.81729 4.35% 32.1 100s
27851 3778 cutoff 50 0.78319 0.81465 4.02% 32.4 105s
28952 3878 cutoff 39 0.78319 0.81304 3.81% 32.6 110s
30035 3780 0.79194 55 98 0.78319 0.81109 3.56% 33.0 115s
31505 3803 cutoff 41 0.78319 0.80916 3.32% 33.2 120s
32914 3832 cutoff 46 0.78319 0.80724 3.07% 33.5 125s
34158 3838 infeasible 46 0.78319 0.80592 2.90% 33.5 130s
35698 3807 0.80286 39 117 0.78319 0.80417 2.68% 33.7 135s
37142 3703 0.79672 41 90 0.78319 0.80256 2.47% 33.8 140s
38994 3587 cutoff 48 0.78319 0.80072 2.24% 33.7 145s
40559 3562 0.79460 45 92 0.78319 0.79959 2.09% 33.6 150s
42019 3455 0.78528 39 94 0.78319 0.79848 1.95% 33.4 155s
43927 3442 cutoff 37 0.78319 0.79669 1.72% 33.1 160s
45857 3406 0.79522 64 61 0.78319 0.79530 1.55% 32.8 165s
48143 3653 infeasible 44 0.78319 0.79408 1.39% 32.0 170s
50529 3512 cutoff 74 0.78319 0.79244 1.18% 31.3 175s
Cutting planes:
Gomory: 116
Implied bound: 57
Projected implied bound: 30
MIR: 27
Flow cover: 123
Inf proof: 260
Explored 53449 nodes (1621735 simplex iterations) in 179.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.78319
Optimal solution found (tolerance 1.00e-02)
Best objective 7.831898856081e-01, best bound 7.910176514841e-01, gap 0.9995%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4u35w8_n.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1mrem7p1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.781318
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 9.957631e-01, 1009 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99576 0 97 0.78132 0.99576 27.4% - 0s
0 0 0.96765 0 105 0.78132 0.96765 23.8% - 0s
0 0 0.95830 0 113 0.78132 0.95830 22.7% - 0s
0 0 0.95731 0 122 0.78132 0.95731 22.5% - 0s
0 0 0.95731 0 121 0.78132 0.95731 22.5% - 0s
0 0 0.95729 0 120 0.78132 0.95729 22.5% - 0s
0 0 0.95728 0 122 0.78132 0.95728 22.5% - 0s
0 0 0.95728 0 122 0.78132 0.95728 22.5% - 0s
0 0 0.95728 0 121 0.78132 0.95728 22.5% - 0s
0 2 0.95728 0 120 0.78132 0.95728 22.5% - 0s
1036 533 0.80267 27 95 0.78132 0.89129 14.1% 19.8 5s
2486 739 0.85767 36 100 0.78132 0.86139 10.2% 23.3 10s
4137 1170 0.79156 33 106 0.78132 0.84787 8.52% 25.3 15s
5656 1470 0.83154 42 96 0.78132 0.84126 7.67% 26.4 20s
H 6505 1656 0.7813179 0.83792 7.24% 26.6 22s
7274 1754 cutoff 35 0.78132 0.83490 6.86% 27.0 25s
8674 1918 0.80485 43 99 0.78132 0.82938 6.15% 27.5 30s
10320 2024 0.81362 46 102 0.78132 0.82407 5.47% 27.9 36s
12126 2251 cutoff 50 0.78132 0.81991 4.94% 27.6 40s
13832 2395 infeasible 37 0.78132 0.81525 4.34% 27.8 45s
15175 2532 cutoff 47 0.78132 0.81228 3.96% 27.8 50s
17429 2696 cutoff 38 0.78132 0.80801 3.42% 27.6 55s
19731 2877 infeasible 51 0.78132 0.80343 2.83% 27.3 61s
H19740 2877 0.7813179 0.80340 2.83% 27.3 61s
21141 2639 infeasible 46 0.78132 0.80049 2.45% 27.3 65s
23043 2605 0.79564 53 111 0.78132 0.79702 2.01% 26.8 81s
24600 2483 0.78812 42 120 0.78132 0.79455 1.69% 26.6 85s
27857 2850 cutoff 54 0.78132 0.79181 1.34% 25.4 90s
31233 3142 cutoff 78 0.78132 0.79012 1.13% 24.1 95s
Cutting planes:
Gomory: 113
Cover: 2
Implied bound: 42
Projected implied bound: 33
MIR: 20
Flow cover: 108
Inf proof: 201
Explored 34082 nodes (789324 simplex iterations) in 99.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.781318 0.781318 0.781318
Optimal solution found (tolerance 1.00e-02)
Best objective 7.813178967193e-01, best bound 7.890978853824e-01, gap 0.9958%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptweqajfe.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2k99dbtu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.769936
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 9.808076e-01, 1030 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98081 0 100 0.76994 0.98081 27.4% - 0s
0 0 0.95244 0 113 0.76994 0.95244 23.7% - 0s
0 0 0.94592 0 125 0.76994 0.94592 22.9% - 0s
0 0 0.94592 0 125 0.76994 0.94592 22.9% - 0s
0 0 0.94585 0 130 0.76994 0.94585 22.8% - 0s
0 0 0.94582 0 132 0.76994 0.94582 22.8% - 0s
0 0 0.94582 0 129 0.76994 0.94582 22.8% - 0s
0 2 0.94582 0 128 0.76994 0.94582 22.8% - 0s
1014 603 0.78994 53 109 0.76994 0.88143 14.5% 19.8 5s
2388 621 0.77435 30 82 0.76994 0.86495 12.3% 28.9 10s
3722 884 0.80995 41 103 0.76994 0.83866 8.93% 30.3 15s
5585 1257 0.81024 39 106 0.76994 0.82277 6.86% 29.0 20s
H 6769 1533 0.7699361 0.81980 6.48% 27.9 24s
6774 1512 0.77452 45 94 0.76994 0.81886 6.35% 27.9 25s
8848 2083 0.78325 36 104 0.76994 0.81364 5.68% 26.4 30s
11162 2575 0.78230 66 101 0.76994 0.80993 5.19% 25.7 35s
13534 3072 0.78196 38 101 0.76994 0.80581 4.66% 24.9 40s
15778 3387 cutoff 78 0.76994 0.80342 4.35% 24.6 45s
17959 3626 0.78058 72 82 0.76994 0.79976 3.87% 24.5 50s
H19637 3722 0.7699361 0.79682 3.49% 24.5 54s
19640 3644 cutoff 52 0.76994 0.79677 3.49% 24.5 55s
21937 3515 cutoff 80 0.76994 0.79222 2.89% 24.5 60s
22822 3533 cutoff 49 0.76994 0.79091 2.72% 24.3 74s
23155 3491 cutoff 59 0.76994 0.79040 2.66% 24.3 75s
24463 3542 0.77788 103 63 0.76994 0.78907 2.49% 24.6 80s
H24470 3542 0.7699361 0.78905 2.48% 24.6 80s
26059 3378 cutoff 61 0.76994 0.78735 2.26% 25.1 85s
27584 3148 infeasible 105 0.76994 0.78572 2.05% 25.5 90s
29707 2938 0.78165 80 106 0.76994 0.78327 1.73% 25.7 95s
31864 2867 cutoff 84 0.76994 0.78149 1.50% 25.5 100s
33804 2660 0.77974 99 70 0.76994 0.77974 1.27% 25.6 105s
35803 2467 0.77811 60 101 0.76994 0.77811 1.06% 25.4 110s
Cutting planes:
Gomory: 127
Cover: 1
Implied bound: 53
Projected implied bound: 32
MIR: 19
Flow cover: 108
Inf proof: 164
Explored 36846 nodes (932388 simplex iterations) in 111.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.769936 0.769936 0.769936 0.769936
Optimal solution found (tolerance 1.00e-02)
Best objective 7.699361290636e-01, best bound 7.774162722466e-01, gap 0.9715%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbz4iuw0w.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0bfb45d7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.757475
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 9.627382e-01, 999 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96274 0 98 0.75747 0.96274 27.1% - 0s
0 0 0.93674 0 111 0.75747 0.93674 23.7% - 0s
0 0 0.93673 0 108 0.75747 0.93673 23.7% - 0s
0 0 0.92648 0 121 0.75747 0.92648 22.3% - 0s
0 0 0.92644 0 122 0.75747 0.92644 22.3% - 0s
0 0 0.92637 0 129 0.75747 0.92637 22.3% - 0s
0 0 0.92637 0 130 0.75747 0.92637 22.3% - 0s
0 0 0.92630 0 128 0.75747 0.92630 22.3% - 0s
0 0 0.92630 0 124 0.75747 0.92630 22.3% - 0s
0 2 0.92630 0 124 0.75747 0.92630 22.3% - 0s
846 571 0.84129 30 118 0.75747 0.85974 13.5% 17.4 5s
2118 627 0.83651 27 117 0.75747 0.84858 12.0% 27.7 10s
3759 974 0.81926 28 119 0.75747 0.82703 9.18% 29.3 15s
5580 1380 0.76223 51 111 0.75747 0.81583 7.70% 28.4 20s
7523 1691 0.76632 62 79 0.75747 0.80900 6.80% 28.2 25s
8656 1889 0.77000 42 98 0.75747 0.80547 6.34% 28.3 30s
10685 2386 0.79296 54 105 0.75747 0.79999 5.61% 27.8 35s
13189 2903 0.77793 60 95 0.75747 0.79561 5.03% 26.9 40s
H13192 2904 0.7574748 0.79561 5.03% 26.9 40s
14648 3150 0.76714 39 107 0.75747 0.79315 4.71% 26.4 45s
16817 3369 cutoff 44 0.75747 0.78904 4.17% 26.2 50s
H18922 3478 0.7574748 0.78485 3.61% 26.1 56s
20063 3380 0.77177 38 105 0.75747 0.78216 3.26% 26.2 60s
21229 3373 cutoff 76 0.75747 0.78047 3.04% 26.3 74s
21694 3396 0.75816 69 104 0.75747 0.77983 2.95% 26.3 75s
23405 3285 0.77505 71 93 0.75747 0.77717 2.60% 26.9 80s
24977 3205 0.76765 48 117 0.75747 0.77517 2.34% 27.5 85s
26611 3093 0.76522 71 80 0.75747 0.77274 2.02% 27.9 90s
28395 2984 0.77036 64 97 0.75747 0.77079 1.76% 28.1 95s
30105 2894 cutoff 56 0.75747 0.76931 1.56% 28.2 100s
31847 2803 cutoff 36 0.75747 0.76806 1.40% 28.2 105s
33999 2714 cutoff 64 0.75747 0.76659 1.20% 28.0 110s
Cutting planes:
Gomory: 121
Cover: 2
Implied bound: 43
Projected implied bound: 36
MIR: 24
Flow cover: 155
Inf proof: 199
Explored 36195 nodes (1000775 simplex iterations) in 114.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.757475 0.757475 0.757475
Optimal solution found (tolerance 1.00e-02)
Best objective 7.574747866185e-01, best bound 7.648803572017e-01, gap 0.9777%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp11smh48n.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps1t5xklf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.749634
Presolve removed 690 rows and 447 columns
Presolve time: 0.02s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.500075e-01, 1065 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.95001 0 101 0.74963 0.95001 26.7% - 0s
0 0 0.92357 0 119 0.74963 0.92357 23.2% - 0s
0 0 0.92356 0 119 0.74963 0.92356 23.2% - 0s
0 0 0.91781 0 132 0.74963 0.91781 22.4% - 0s
0 0 0.91779 0 127 0.74963 0.91779 22.4% - 0s
0 0 0.91766 0 138 0.74963 0.91766 22.4% - 0s
0 0 0.91765 0 139 0.74963 0.91765 22.4% - 0s
0 0 0.91759 0 137 0.74963 0.91759 22.4% - 0s
0 0 0.91759 0 139 0.74963 0.91759 22.4% - 0s
0 0 0.91753 0 137 0.74963 0.91753 22.4% - 0s
0 0 0.91753 0 133 0.74963 0.91753 22.4% - 0s
0 2 0.91753 0 133 0.74963 0.91753 22.4% - 0s
2009 749 0.83851 29 110 0.74963 0.85024 13.4% 14.9 5s
4323 1446 cutoff 43 0.74963 0.83085 10.8% 16.1 10s
H 4458 1477 0.7496341 0.83002 10.7% 16.1 11s
6047 1700 0.79496 35 96 0.74963 0.81804 9.13% 17.2 15s
9158 2164 cutoff 48 0.74963 0.80177 6.95% 17.3 20s
12039 2643 0.77393 40 94 0.74963 0.79227 5.69% 16.8 25s
15263 3548 0.78626 87 85 0.74963 0.78751 5.05% 15.9 30s
17606 3812 0.75602 69 80 0.74963 0.78373 4.55% 15.8 35s
20807 4349 0.77455 64 133 0.74963 0.78054 4.12% 15.7 52s
20820 4358 0.76876 70 187 0.74963 0.78054 4.12% 15.7 55s
20834 4367 0.75587 113 169 0.74963 0.78054 4.12% 15.7 60s
H20839 4154 0.7496341 0.78054 4.12% 15.8 64s
20841 4156 infeasible 27 0.74963 0.78054 4.12% 15.8 69s
20849 4154 0.78054 29 167 0.74963 0.78054 4.12% 15.9 70s
21261 4211 0.78054 34 171 0.74963 0.78054 4.12% 16.6 75s
22167 4283 0.78054 38 143 0.74963 0.78054 4.12% 17.7 80s
23084 4376 0.76757 43 144 0.74963 0.78054 4.12% 18.9 85s
24245 4493 0.76026 55 138 0.74963 0.78054 4.12% 19.7 90s
25434 4464 cutoff 49 0.74963 0.78054 4.12% 20.8 95s
26619 4527 0.78054 44 152 0.74963 0.78054 4.12% 21.6 100s
27057 4493 0.78054 50 128 0.74963 0.78054 4.12% 22.0 105s
28022 4393 cutoff 45 0.74963 0.78054 4.12% 22.9 110s
28875 4288 0.76898 52 118 0.74963 0.78054 4.12% 23.7 115s
29990 4066 0.78054 50 129 0.74963 0.78054 4.12% 24.7 121s
31211 3896 0.77886 62 109 0.74963 0.78054 4.12% 25.5 126s
31938 3751 0.76345 60 117 0.74963 0.78054 4.12% 26.0 130s
33223 3499 cutoff 60 0.74963 0.78054 4.12% 26.7 135s
34235 3629 0.77760 49 129 0.74963 0.78054 4.12% 27.2 141s
35144 3671 0.77826 41 143 0.74963 0.78054 4.12% 27.7 145s
36214 3724 cutoff 40 0.74963 0.78054 4.12% 28.3 150s
37515 3797 0.78054 59 102 0.74963 0.78054 4.12% 29.0 156s
38358 3876 0.78018 44 118 0.74963 0.78054 4.12% 29.4 160s
40007 4190 0.75442 66 123 0.74963 0.78054 4.12% 29.6 165s
41314 4379 0.77213 43 128 0.74963 0.78054 4.12% 29.8 170s
41780 4462 0.76663 48 142 0.74963 0.78054 4.12% 29.9 175s
41799 4475 0.76976 47 152 0.74963 0.78054 4.12% 29.9 180s
41815 4485 0.77486 42 162 0.74963 0.78054 4.12% 29.9 185s
41822 4489 0.78054 38 143 0.74963 0.78054 4.12% 29.8 191s
41833 4493 0.78054 41 143 0.74963 0.78054 4.12% 29.8 195s
42049 4553 0.76136 69 122 0.74963 0.78054 4.12% 29.8 200s
42646 4651 0.78054 51 132 0.74963 0.78054 4.12% 29.9 205s
43810 4913 cutoff 70 0.74963 0.78054 4.12% 29.9 210s
45220 5222 0.75862 64 113 0.74963 0.78054 4.12% 30.2 215s
46702 5383 cutoff 45 0.74963 0.78054 4.12% 30.4 220s
48076 5428 0.77165 48 140 0.74963 0.78054 4.12% 30.7 225s
49574 5419 0.77325 48 119 0.74963 0.77961 4.00% 31.0 230s
50732 5345 0.77403 52 143 0.74963 0.77796 3.78% 31.4 235s
52268 5172 cutoff 67 0.74963 0.77623 3.55% 31.7 241s
53796 5161 0.75294 64 117 0.74963 0.77472 3.35% 31.8 245s
55052 4996 0.75769 59 139 0.74963 0.77370 3.21% 31.9 250s
56764 5268 0.75754 72 124 0.74963 0.77256 3.06% 32.2 255s
58223 5528 0.76587 65 122 0.74963 0.77143 2.91% 32.3 260s
60480 6068 0.75872 60 108 0.74963 0.77007 2.73% 32.2 265s
61893 6319 cutoff 64 0.74963 0.76912 2.60% 32.2 270s
63673 6668 0.75148 65 110 0.74963 0.76836 2.50% 32.2 275s
65704 7144 0.75299 68 129 0.74963 0.76748 2.38% 32.0 280s
68002 7857 cutoff 146 0.74963 0.76665 2.27% 31.8 285s
69609 8099 0.75423 70 117 0.74963 0.76604 2.19% 31.8 290s
71602 8338 cutoff 97 0.74963 0.76537 2.10% 31.8 295s
73477 8559 0.76323 66 119 0.74963 0.76472 2.01% 31.6 300s
75647 8912 0.74972 85 86 0.74963 0.76398 1.91% 31.5 305s
77773 9122 0.75806 59 135 0.74963 0.76337 1.83% 31.4 310s
79243 9196 0.75923 55 143 0.74963 0.76290 1.77% 31.3 315s
81765 9534 0.75819 56 127 0.74963 0.76225 1.68% 31.1 320s
84025 9677 0.75132 68 123 0.74963 0.76168 1.61% 30.9 325s
85678 9851 cutoff 58 0.74963 0.76133 1.56% 30.8 330s
88109 10244 0.75923 74 102 0.74963 0.76080 1.49% 30.5 335s
90588 10706 0.75086 71 129 0.74963 0.76045 1.44% 30.2 340s
93067 11116 0.75400 58 128 0.74963 0.76005 1.39% 29.9 345s
95150 11252 cutoff 74 0.74963 0.75969 1.34% 29.7 350s
97892 11526 0.75025 70 117 0.74963 0.75921 1.28% 29.4 355s
100561 12006 cutoff 106 0.74963 0.75886 1.23% 29.0 360s
*102474 9312 163 0.7519061 0.75866 0.90% 28.7 362s
Cutting planes:
Gomory: 205
Cover: 4
Implied bound: 30
Projected implied bound: 40
MIR: 30
Flow cover: 116
Explored 102778 nodes (2960914 simplex iterations) in 362.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.751906 0.749634 0.749634 0.749634
Optimal solution found (tolerance 1.00e-02)
Best objective 7.519060599755e-01, best bound 7.585958548003e-01, gap 0.8897%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0hzxbu10.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp789lbrwu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.737153
Presolve removed 704 rows and 456 columns
Presolve time: 0.03s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 9.303399e-01, 1037 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93034 0 102 0.73715 0.93034 26.2% - 0s
0 0 0.90589 0 118 0.73715 0.90589 22.9% - 0s
0 0 0.90588 0 118 0.73715 0.90588 22.9% - 0s
0 0 0.90106 0 128 0.73715 0.90106 22.2% - 0s
0 0 0.90106 0 128 0.73715 0.90106 22.2% - 0s
0 0 0.90022 0 133 0.73715 0.90022 22.1% - 0s
0 0 0.90021 0 134 0.73715 0.90021 22.1% - 0s
0 0 0.90012 0 139 0.73715 0.90012 22.1% - 0s
0 0 0.90012 0 139 0.73715 0.90012 22.1% - 0s
0 0 0.90006 0 138 0.73715 0.90006 22.1% - 0s
0 0 0.90006 0 133 0.73715 0.90006 22.1% - 0s
0 2 0.90006 0 133 0.73715 0.90006 22.1% - 0s
813 481 0.74449 19 145 0.73715 0.84633 14.8% 20.0 5s
2392 750 0.74049 37 112 0.73715 0.82266 11.6% 23.7 10s
3764 1034 cutoff 28 0.73715 0.80638 9.39% 26.2 15s
H 4676 1165 0.7375112 0.79987 8.46% 28.1 18s
4852 1172 0.75102 25 122 0.73751 0.79803 8.21% 28.3 20s
6280 1309 infeasible 24 0.73751 0.79083 7.23% 30.9 25s
7793 1538 0.75780 30 114 0.73751 0.78497 6.43% 31.2 30s
9189 1696 0.74967 38 99 0.73751 0.78039 5.81% 32.3 35s
10423 1730 0.75043 38 93 0.73751 0.77615 5.24% 33.2 40s
12174 2014 0.77208 36 98 0.73751 0.77208 4.69% 33.0 46s
13683 2405 0.74478 64 95 0.73751 0.76917 4.29% 32.2 50s
H14235 2562 0.7375112 0.76759 4.08% 31.9 52s
14730 2557 0.73873 84 81 0.73751 0.76643 3.92% 31.7 55s
16660 2680 0.75655 33 112 0.73751 0.76285 3.44% 31.0 60s
19193 3062 0.74963 71 90 0.73751 0.76004 3.06% 29.8 65s
21522 3516 infeasible 41 0.73751 0.75734 2.69% 28.6 82s
22717 3629 cutoff 56 0.73751 0.75588 2.49% 28.4 85s
24510 3653 cutoff 54 0.73751 0.75380 2.21% 28.5 90s
26877 3944 0.74390 65 106 0.73751 0.75252 2.03% 27.9 95s
28604 4000 0.74272 78 95 0.73751 0.75137 1.88% 27.7 100s
30679 3967 0.75020 85 84 0.73751 0.75020 1.72% 27.4 105s
32965 4124 0.74127 107 66 0.73751 0.74932 1.60% 26.9 110s
35688 4324 infeasible 50 0.73751 0.74810 1.44% 26.3 115s
38257 4497 infeasible 85 0.73751 0.74711 1.30% 25.8 120s
40868 4639 0.73947 78 82 0.73751 0.74631 1.19% 25.3 125s
43066 4661 0.73832 25 142 0.73751 0.74539 1.07% 25.1 130s
Cutting planes:
Gomory: 135
Implied bound: 56
Projected implied bound: 23
MIR: 19
Flow cover: 141
Inf proof: 227
Explored 44857 nodes (1121036 simplex iterations) in 133.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.737511 0.737511 0.737153
Optimal solution found (tolerance 1.00e-02)
Best objective 7.375112162410e-01, best bound 7.447745584688e-01, gap 0.9848%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppm8fmyu5.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphd3xz4pu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.731532
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.206798e-01, 1076 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92068 0 107 0.73153 0.92068 25.9% - 0s
0 0 0.89685 0 123 0.73153 0.89685 22.6% - 0s
0 0 0.89684 0 123 0.73153 0.89684 22.6% - 0s
0 0 0.89175 0 135 0.73153 0.89175 21.9% - 0s
0 0 0.89174 0 133 0.73153 0.89174 21.9% - 0s
0 0 0.89161 0 139 0.73153 0.89161 21.9% - 0s
0 0 0.89160 0 139 0.73153 0.89160 21.9% - 0s
0 0 0.89151 0 143 0.73153 0.89151 21.9% - 0s
0 0 0.89135 0 146 0.73153 0.89135 21.8% - 0s
0 0 0.89134 0 142 0.73153 0.89134 21.8% - 0s
0 0 0.89134 0 143 0.73153 0.89134 21.8% - 0s
0 0 0.89134 0 141 0.73153 0.89134 21.8% - 0s
0 0 0.89134 0 140 0.73153 0.89134 21.8% - 0s
0 2 0.89134 0 140 0.73153 0.89134 21.8% - 0s
1562 546 infeasible 33 0.73153 0.81716 11.7% 17.7 5s
4038 1186 0.73341 46 93 0.73153 0.79608 8.82% 18.2 10s
6268 1680 0.78680 35 101 0.73153 0.78681 7.56% 18.0 15s
8782 2135 0.76164 61 100 0.73153 0.78041 6.68% 18.0 20s
11430 2490 0.75123 49 97 0.73153 0.77361 5.75% 17.9 25s
H13242 2860 0.7315323 0.77007 5.27% 17.4 27s
H13333 2837 0.7315323 0.76969 5.22% 17.4 28s
13795 2784 0.75282 57 105 0.73153 0.76861 5.07% 17.5 30s
16624 3008 cutoff 59 0.73153 0.76324 4.33% 17.1 35s
19462 3056 cutoff 40 0.73153 0.75774 3.58% 16.8 40s
20615 3120 0.73534 75 140 0.73153 0.75583 3.32% 16.7 58s
20626 3127 0.75386 67 198 0.73153 0.75583 3.32% 16.7 60s
20641 3137 0.74674 60 207 0.73153 0.75583 3.32% 16.7 65s
20655 3147 0.73992 78 212 0.73153 0.75583 3.32% 16.7 70s
20662 3154 0.75583 29 182 0.73153 0.75583 3.32% 16.8 76s
20668 3153 infeasible 31 0.73153 0.75583 3.32% 16.9 80s
21015 3210 0.75583 79 127 0.73153 0.75583 3.32% 17.5 85s
21844 3342 0.75583 46 179 0.73153 0.75583 3.32% 18.6 90s
22672 3439 0.73951 59 128 0.73153 0.75583 3.32% 19.8 95s
23438 3464 0.75583 48 161 0.73153 0.75583 3.32% 20.9 100s
24360 3438 0.73912 54 143 0.73153 0.75583 3.32% 22.3 105s
24944 3353 0.75583 47 133 0.73153 0.75583 3.32% 23.4 110s
26015 3249 cutoff 41 0.73153 0.75583 3.32% 24.8 116s
26492 3149 0.75583 50 130 0.73153 0.75583 3.32% 25.4 120s
27113 3120 0.75365 56 136 0.73153 0.75583 3.32% 26.1 125s
27966 2970 cutoff 48 0.73153 0.75583 3.32% 27.0 130s
29066 2780 0.75583 50 144 0.73153 0.75583 3.32% 28.2 135s
29862 2689 0.74561 74 123 0.73153 0.75583 3.32% 29.0 140s
31170 2775 0.74069 87 112 0.73153 0.75583 3.32% 30.2 145s
31960 2857 0.75583 45 139 0.73153 0.75583 3.32% 30.7 150s
33413 3003 cutoff 64 0.73153 0.75583 3.32% 31.6 156s
34381 3105 0.75583 60 120 0.73153 0.75583 3.32% 32.1 160s
35315 3160 cutoff 62 0.73153 0.75583 3.32% 32.7 165s
36588 3312 0.75106 47 136 0.73153 0.75583 3.32% 33.3 170s
38048 3379 0.75583 64 116 0.73153 0.75583 3.32% 33.8 176s
38958 3419 0.75129 49 145 0.73153 0.75583 3.32% 34.2 180s
40402 3460 0.75583 50 150 0.73153 0.75583 3.32% 34.7 186s
41448 3629 0.75358 60 140 0.73153 0.75583 3.32% 34.8 193s
41461 3638 0.74031 52 197 0.73153 0.75583 3.32% 34.8 195s
41479 3650 0.75583 49 200 0.73153 0.75583 3.32% 34.8 200s
41496 3661 0.75583 81 201 0.73153 0.75583 3.32% 34.8 205s
41515 3674 0.74693 62 203 0.73153 0.75583 3.32% 34.7 210s
41525 3680 0.74930 56 185 0.73153 0.75583 3.32% 34.7 215s
41541 3691 0.74977 70 210 0.73153 0.75583 3.32% 34.7 220s
41550 3697 0.75583 48 204 0.73153 0.75583 3.32% 34.7 225s
41555 3702 0.75583 40 188 0.73153 0.75583 3.32% 34.8 230s
41561 3699 0.75583 42 179 0.73153 0.75583 3.32% 34.8 235s
41564 3698 0.75583 44 178 0.73153 0.75583 3.32% 34.9 240s
41574 3699 0.75583 47 178 0.73153 0.75583 3.32% 34.9 245s
41712 3717 0.75583 56 154 0.73153 0.75583 3.32% 34.9 250s
42048 3757 0.75583 71 123 0.73153 0.75583 3.32% 35.0 255s
42910 3762 0.74180 58 139 0.73153 0.75583 3.32% 35.3 260s
43917 3707 cutoff 58 0.73153 0.75583 3.32% 35.5 265s
44893 3632 0.74219 65 140 0.73153 0.75583 3.32% 35.8 270s
46004 3485 0.75535 53 151 0.73153 0.75583 3.32% 36.2 275s
46704 3328 0.74428 90 106 0.73153 0.75583 3.32% 36.3 280s
47974 3163 cutoff 95 0.73153 0.75505 3.22% 36.4 285s
49020 2918 0.75148 59 132 0.73153 0.75268 2.89% 36.6 290s
49796 2824 0.73791 101 95 0.73153 0.75137 2.71% 36.8 296s
50591 2576 cutoff 74 0.73153 0.74992 2.51% 37.0 301s
51558 2350 cutoff 73 0.73153 0.74777 2.22% 37.0 305s
53018 2039 0.73524 70 94 0.73153 0.74564 1.93% 37.2 311s
54391 2155 0.74249 64 133 0.73153 0.74391 1.69% 37.1 315s
56090 2326 0.73942 92 118 0.73153 0.74235 1.48% 36.9 320s
57555 2470 0.73230 91 110 0.73153 0.74109 1.31% 36.6 325s
60018 2822 cutoff 80 0.73153 0.73953 1.09% 36.0 330s
Cutting planes:
Gomory: 249
Cover: 3
Implied bound: 27
Projected implied bound: 66
MIR: 20
Flow cover: 105
Inf proof: 2
Zero half: 1
Network: 2
Explored 62010 nodes (2201307 simplex iterations) in 334.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.731532 0.731532 0.731532
Optimal solution found (tolerance 1.00e-02)
Best objective 7.315322674729e-01, best bound 7.387749293970e-01, gap 0.9901%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3ikbah21.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpohtstqh_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.728505
Presolve removed 732 rows and 474 columns
Presolve time: 0.04s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.149541e-01, 1138 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.91495 0 111 0.72851 0.91495 25.6% - 0s
0 0 0.89313 0 124 0.72851 0.89313 22.6% - 0s
0 0 0.89312 0 122 0.72851 0.89312 22.6% - 0s
0 0 0.88440 0 132 0.72851 0.88440 21.4% - 0s
0 0 0.88435 0 133 0.72851 0.88435 21.4% - 0s
0 0 0.88431 0 141 0.72851 0.88431 21.4% - 0s
0 0 0.88430 0 141 0.72851 0.88430 21.4% - 0s
0 0 0.88390 0 143 0.72851 0.88390 21.3% - 0s
0 0 0.88387 0 144 0.72851 0.88387 21.3% - 0s
0 0 0.88384 0 145 0.72851 0.88384 21.3% - 0s
0 0 0.88384 0 144 0.72851 0.88384 21.3% - 0s
0 0 0.88384 0 144 0.72851 0.88384 21.3% - 0s
0 0 0.88384 0 144 0.72851 0.88384 21.3% - 0s
0 2 0.88384 0 143 0.72851 0.88384 21.3% - 0s
750 483 0.80784 14 139 0.72851 0.82753 13.6% 20.2 5s
2140 665 cutoff 28 0.72851 0.81624 12.0% 25.6 10s
3371 914 infeasible 31 0.72851 0.80404 10.4% 31.0 15s
4259 1007 0.74690 33 118 0.72851 0.79726 9.44% 33.4 20s
5472 1105 0.78339 32 109 0.72851 0.79045 8.50% 35.4 25s
7054 1313 0.76055 29 113 0.72851 0.78499 7.75% 34.7 30s
9083 1590 0.74415 52 113 0.72851 0.77769 6.75% 34.0 35s
10550 1791 cutoff 33 0.72851 0.77366 6.20% 33.4 40s
12660 2108 cutoff 30 0.72851 0.76911 5.57% 31.8 45s
H13072 2208 0.7285051 0.76726 5.32% 31.7 47s
13087 2159 0.74784 55 106 0.72851 0.76718 5.31% 31.7 50s
14778 2325 cutoff 34 0.72851 0.76382 4.85% 31.1 55s
16706 2460 0.75523 28 135 0.72851 0.76001 4.32% 30.3 60s
18961 2642 0.73356 38 111 0.72851 0.75643 3.83% 29.6 65s
20836 2679 cutoff 51 0.72851 0.75308 3.37% 29.2 82s
21668 2746 0.73618 42 102 0.72851 0.75183 3.20% 29.0 85s
23400 2729 infeasible 46 0.72851 0.74919 2.84% 29.3 90s
24825 2646 0.73601 55 85 0.72851 0.74691 2.53% 29.5 95s
26783 2336 0.74324 72 94 0.72851 0.74324 2.02% 29.9 100s
28668 2108 0.74006 101 73 0.72851 0.74006 1.59% 29.9 105s
30898 2239 cutoff 92 0.72851 0.73795 1.30% 29.1 110s
33462 2550 0.73188 80 93 0.72851 0.73647 1.09% 28.0 115s
Cutting planes:
Gomory: 130
Cover: 2
Implied bound: 61
Projected implied bound: 31
MIR: 16
StrongCG: 2
Flow cover: 136
Inf proof: 230
Explored 35608 nodes (966915 simplex iterations) in 117.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.728505 0.728505
Optimal solution found (tolerance 1.00e-02)
Best objective 7.285050758266e-01, best bound 7.357449436077e-01, gap 0.9938%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu336jds6.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpingcw4fs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.71714
Presolve removed 746 rows and 483 columns
Presolve time: 0.04s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 8.959799e-01, 1174 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89598 0 110 0.71714 0.89598 24.9% - 0s
0 0 0.87358 0 129 0.71714 0.87358 21.8% - 0s
0 0 0.87357 0 127 0.71714 0.87357 21.8% - 0s
0 0 0.86931 0 139 0.71714 0.86931 21.2% - 0s
0 0 0.86927 0 138 0.71714 0.86927 21.2% - 0s
0 0 0.86878 0 145 0.71714 0.86878 21.1% - 0s
0 0 0.86878 0 146 0.71714 0.86878 21.1% - 0s
0 0 0.86876 0 149 0.71714 0.86876 21.1% - 0s
0 0 0.86869 0 148 0.71714 0.86869 21.1% - 0s
0 0 0.86869 0 144 0.71714 0.86869 21.1% - 0s
0 2 0.86869 0 144 0.71714 0.86869 21.1% - 0s
756 496 0.81426 10 130 0.71714 0.81426 13.5% 19.7 5s
1927 745 0.77289 28 121 0.71714 0.80077 11.7% 25.8 10s
3168 1002 0.72702 32 120 0.71714 0.79197 10.4% 30.2 15s
4406 1346 0.73984 34 117 0.71714 0.78517 9.49% 32.5 20s
H 4629 1412 0.7171396 0.78411 9.34% 32.5 20s
5527 1557 0.71787 29 120 0.71714 0.78128 8.94% 34.1 25s
6689 1683 0.72041 30 107 0.71714 0.77614 8.23% 35.9 30s
H 7690 1820 0.7171396 0.77348 7.86% 36.4 34s
7823 1819 0.73625 30 114 0.71714 0.77288 7.77% 36.5 35s
9068 1992 0.72125 36 120 0.71714 0.77007 7.38% 36.9 41s
10099 2136 0.74569 56 90 0.71714 0.76733 7.00% 37.0 45s
11687 2323 cutoff 34 0.71714 0.76433 6.58% 36.9 50s
12804 2375 0.72864 32 119 0.71714 0.76230 6.30% 37.3 55s
14063 2470 0.75052 36 126 0.71714 0.75956 5.92% 37.7 60s
15209 2567 infeasible 29 0.71714 0.75720 5.59% 38.0 65s
16854 2733 0.72258 71 75 0.71714 0.75430 5.18% 37.7 70s
18354 2919 cutoff 33 0.71714 0.75223 4.89% 37.1 75s
20056 2976 0.71983 61 97 0.71714 0.74976 4.55% 36.9 80s
21073 3058 0.73386 32 122 0.71714 0.74835 4.35% 36.4 99s
21561 3105 0.73482 29 149 0.71714 0.74768 4.26% 36.2 100s
22405 3133 0.73511 69 120 0.71714 0.74610 4.04% 36.6 105s
23724 3212 0.73479 51 116 0.71714 0.74457 3.83% 36.8 111s
24767 3334 cutoff 32 0.71714 0.74348 3.67% 36.9 115s
25777 3355 infeasible 57 0.71714 0.74166 3.42% 37.2 120s
27191 3425 cutoff 27 0.71714 0.74007 3.20% 37.3 125s
28409 3540 cutoff 48 0.71714 0.73884 3.03% 37.2 130s
29797 3592 0.72453 46 129 0.71714 0.73735 2.82% 37.5 135s
31275 3666 0.73466 54 120 0.71714 0.73630 2.67% 37.6 140s
32428 3711 0.72992 45 119 0.71714 0.73520 2.52% 37.6 145s
33644 3678 0.72543 33 133 0.71714 0.73415 2.37% 37.5 150s
35184 3614 0.72770 36 129 0.71714 0.73263 2.16% 37.5 155s
36261 3519 cutoff 30 0.71714 0.73181 2.05% 37.7 160s
37709 3448 cutoff 46 0.71714 0.73060 1.88% 37.6 165s
39210 3399 0.72911 61 98 0.71714 0.72951 1.73% 37.4 170s
40748 3364 0.72411 39 131 0.71714 0.72824 1.55% 37.1 175s
H41287 3450 0.7171397 0.72793 1.50% 37.0 177s
41448 3371 0.72066 54 84 0.71714 0.72771 1.47% 36.9 180s
43253 3340 infeasible 60 0.71714 0.72661 1.32% 36.5 185s
44956 3290 infeasible 88 0.71714 0.72562 1.18% 36.0 190s
46464 3417 cutoff 34 0.71714 0.72468 1.05% 35.4 195s
Cutting planes:
Gomory: 140
Implied bound: 71
Projected implied bound: 36
Clique: 1
MIR: 34
Flow cover: 158
Inf proof: 256
Explored 47719 nodes (1669020 simplex iterations) in 198.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.71714 0.71714 0.71714 0.71714
Optimal solution found (tolerance 1.00e-02)
Best objective 7.171396301725e-01, best bound 7.241547150368e-01, gap 0.9782%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4nwbdc51.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf8i9761o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.702981
Presolve removed 760 rows and 492 columns
Presolve time: 0.04s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 8.780063e-01, 1227 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87801 0 111 0.70298 0.87801 24.9% - 0s
0 0 0.85711 0 122 0.70298 0.85711 21.9% - 0s
0 0 0.85710 0 122 0.70298 0.85710 21.9% - 0s
0 0 0.84927 0 138 0.70298 0.84927 20.8% - 0s
0 0 0.84922 0 135 0.70298 0.84922 20.8% - 0s
0 0 0.84911 0 139 0.70298 0.84911 20.8% - 0s
0 0 0.84910 0 139 0.70298 0.84910 20.8% - 0s
0 0 0.84903 0 140 0.70298 0.84903 20.8% - 0s
0 0 0.84903 0 138 0.70298 0.84903 20.8% - 0s
0 0 0.84898 0 142 0.70298 0.84898 20.8% - 0s
0 0 0.84898 0 142 0.70298 0.84898 20.8% - 0s
0 2 0.84898 0 142 0.70298 0.84898 20.8% - 0s
746 493 0.80034 10 156 0.70298 0.80034 13.8% 22.4 5s
1584 598 0.74128 26 135 0.70298 0.78185 11.2% 27.8 10s
2720 835 0.75014 26 131 0.70298 0.76991 9.52% 29.5 15s
3467 994 0.70648 26 123 0.70298 0.76557 8.90% 31.6 20s
4609 1206 0.74315 28 126 0.70298 0.76027 8.15% 33.1 25s
5558 1316 0.73362 28 125 0.70298 0.75757 7.77% 34.5 31s
6449 1460 infeasible 24 0.70298 0.75512 7.42% 34.6 35s
7735 1658 0.72295 33 127 0.70298 0.75074 6.79% 34.9 40s
8821 1749 cutoff 33 0.70298 0.74815 6.43% 35.9 45s
10038 2005 cutoff 28 0.70298 0.74548 6.05% 35.5 50s
11274 2122 cutoff 34 0.70298 0.74258 5.63% 35.9 55s
12909 2308 0.72025 40 107 0.70298 0.73935 5.17% 36.0 61s
H12932 2309 0.7029814 0.73929 5.16% 36.0 61s
13894 2359 0.72678 33 125 0.70298 0.73705 4.85% 35.9 65s
15305 2441 0.71758 44 105 0.70298 0.73461 4.50% 35.9 70s
17025 2477 0.70683 41 116 0.70298 0.73097 3.98% 35.8 75s
18459 2590 0.70809 29 136 0.70298 0.72880 3.67% 35.6 81s
19934 2735 0.71999 54 121 0.70298 0.72686 3.40% 35.1 86s
21203 2665 0.71486 60 109 0.70298 0.72490 3.12% 35.0 90s
22613 2674 0.70490 56 101 0.70298 0.72277 2.81% 34.6 108s
23315 2671 0.71489 39 134 0.70298 0.72187 2.69% 34.6 110s
24507 2501 infeasible 57 0.70298 0.71963 2.37% 35.3 116s
25441 2380 0.71075 33 139 0.70298 0.71802 2.14% 35.7 120s
26692 2250 0.71612 79 99 0.70298 0.71623 1.88% 36.0 125s
28112 2208 cutoff 87 0.70298 0.71498 1.71% 36.0 130s
29898 2135 0.71310 95 93 0.70298 0.71331 1.47% 36.0 135s
31578 2162 0.71171 89 99 0.70298 0.71234 1.33% 35.4 140s
33664 2275 0.71033 68 82 0.70298 0.71108 1.15% 34.6 145s
Cutting planes:
Gomory: 142
Cover: 1
Implied bound: 47
Projected implied bound: 30
MIR: 32
Flow cover: 162
Inf proof: 234
Explored 35734 nodes (1213550 simplex iterations) in 149.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.702981 0.702981
Optimal solution found (tolerance 1.00e-02)
Best objective 7.029813829933e-01, best bound 7.098722978661e-01, gap 0.9802%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmb8q76rg.pyomo.lp
Reading time = 0.02 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp35b6cq9a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.691245
Presolve removed 774 rows and 501 columns
Presolve time: 0.04s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 8.633779e-01, 1221 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86338 0 115 0.69125 0.86338 24.9% - 0s
0 0 0.84158 0 130 0.69125 0.84158 21.7% - 0s
0 0 0.84158 0 130 0.69125 0.84158 21.7% - 0s
0 0 0.83834 0 144 0.69125 0.83834 21.3% - 0s
0 0 0.83834 0 144 0.69125 0.83834 21.3% - 0s
0 0 0.83809 0 149 0.69125 0.83809 21.2% - 0s
0 0 0.83808 0 152 0.69125 0.83808 21.2% - 0s
0 0 0.83799 0 151 0.69125 0.83799 21.2% - 0s
0 0 0.83788 0 151 0.69125 0.83788 21.2% - 0s
0 0 0.83786 0 151 0.69125 0.83786 21.2% - 0s
0 0 0.83785 0 152 0.69125 0.83785 21.2% - 0s
0 0 0.83785 0 154 0.69125 0.83785 21.2% - 0s
0 0 0.83785 0 152 0.69125 0.83785 21.2% - 0s
0 2 0.83785 0 151 0.69125 0.83785 21.2% - 0s
747 476 0.78776 15 144 0.69125 0.78776 14.0% 21.8 5s
1806 686 0.76079 36 121 0.69125 0.76549 10.7% 25.7 10s
3010 1030 0.70800 39 135 0.69125 0.75328 8.97% 27.6 15s
3935 1264 0.72213 51 118 0.69125 0.74792 8.20% 29.9 20s
5237 1501 cutoff 39 0.69125 0.74161 7.29% 32.0 25s
H 5473 1565 0.6912451 0.74122 7.23% 31.8 26s
6459 1768 0.73569 47 126 0.69125 0.73853 6.84% 31.8 30s
7897 1933 0.72901 55 113 0.69125 0.73439 6.24% 32.4 35s
8995 2059 0.72808 45 112 0.69125 0.73174 5.86% 32.4 40s
10317 2282 cutoff 35 0.69125 0.72892 5.45% 31.9 45s
12111 2472 0.69786 70 95 0.69125 0.72498 4.88% 31.4 50s
14094 2783 0.70291 54 111 0.69125 0.72218 4.47% 30.8 55s
15555 3046 cutoff 58 0.69125 0.72038 4.22% 30.3 60s
17723 3366 0.70347 109 93 0.69125 0.71829 3.91% 29.4 65s
19058 3476 0.69495 68 115 0.69125 0.71711 3.74% 29.3 70s
20855 3519 cutoff 56 0.69125 0.71513 3.45% 29.2 90s
22347 3521 cutoff 63 0.69125 0.71298 3.14% 29.6 95s
24222 3526 cutoff 82 0.69125 0.71058 2.80% 30.1 100s
25632 3600 0.70048 72 126 0.69125 0.70909 2.58% 30.4 105s
27041 3559 cutoff 58 0.69125 0.70730 2.32% 30.8 110s
29026 3691 cutoff 69 0.69125 0.70571 2.09% 30.8 115s
31004 3737 0.69702 73 125 0.69125 0.70413 1.86% 30.7 120s
32585 3700 0.70152 86 108 0.69125 0.70306 1.71% 30.6 125s
34388 3856 cutoff 73 0.69125 0.70209 1.57% 30.2 130s
36284 4035 0.69367 127 100 0.69125 0.70135 1.46% 29.7 135s
38392 4067 cutoff 102 0.69125 0.70032 1.31% 29.2 140s
40549 4144 infeasible 120 0.69125 0.69950 1.19% 28.8 145s
41659 4118 0.69867 87 107 0.69125 0.69894 1.11% 28.6 150s
43849 4252 cutoff 95 0.69125 0.69833 1.03% 28.0 155s
Cutting planes:
Gomory: 148
Cover: 4
Implied bound: 47
Projected implied bound: 45
MIR: 20
Flow cover: 147
Inf proof: 227
Zero half: 1
Explored 44877 nodes (1246401 simplex iterations) in 156.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.691245 0.691245
Optimal solution found (tolerance 1.00e-02)
Best objective 6.912451296646e-01, best bound 6.980996567991e-01, gap 0.9916%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphgh9sj7z.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpebkuv18y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.68369
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 8.526797e-01, 1210 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85268 0 115 0.68369 0.85268 24.7% - 0s
0 0 0.83238 0 135 0.68369 0.83238 21.7% - 0s
0 0 0.83238 0 135 0.68369 0.83238 21.7% - 0s
0 0 0.82551 0 145 0.68369 0.82551 20.7% - 0s
0 0 0.82549 0 146 0.68369 0.82549 20.7% - 0s
0 0 0.82537 0 149 0.68369 0.82537 20.7% - 0s
0 0 0.82533 0 152 0.68369 0.82533 20.7% - 0s
0 0 0.82531 0 155 0.68369 0.82531 20.7% - 0s
0 0 0.82531 0 153 0.68369 0.82531 20.7% - 0s
0 0 0.82506 0 153 0.68369 0.82506 20.7% - 0s
0 0 0.82506 0 153 0.68369 0.82506 20.7% - 0s
0 0 0.82504 0 154 0.68369 0.82504 20.7% - 0s
0 0 0.82502 0 153 0.68369 0.82502 20.7% - 0s
0 0 0.82502 0 150 0.68369 0.82502 20.7% - 0s
0 2 0.82502 0 150 0.68369 0.82502 20.7% - 0s
743 529 0.77586 15 161 0.68369 0.79320 16.0% 17.1 6s
1593 821 0.73754 24 121 0.68369 0.77668 13.6% 24.9 10s
2756 1121 infeasible 24 0.68369 0.76603 12.0% 28.6 15s
4044 1437 0.72525 41 120 0.68369 0.75301 10.1% 31.8 20s
H 5065 1637 0.6836902 0.74884 9.53% 32.9 23s
5249 1648 0.72372 32 134 0.68369 0.74795 9.40% 33.2 25s
6334 1904 cutoff 46 0.68369 0.74437 8.88% 33.6 30s
7488 2157 0.72040 39 110 0.68369 0.74146 8.45% 34.1 35s
8774 2451 cutoff 62 0.68369 0.73863 8.04% 34.2 40s
10263 2679 infeasible 45 0.68369 0.73420 7.39% 34.4 45s
11839 2934 0.68722 42 122 0.68369 0.73077 6.89% 34.7 50s
13481 3119 0.69519 71 100 0.68369 0.72667 6.29% 35.1 55s
14602 3228 0.72260 37 126 0.68369 0.72455 5.98% 35.4 60s
16333 3476 0.69472 50 134 0.68369 0.72178 5.57% 35.2 65s
17891 3707 0.71130 47 113 0.68369 0.71989 5.29% 34.6 70s
19223 3903 0.70004 56 113 0.68369 0.71756 4.95% 34.3 75s
20536 4095 0.68976 36 132 0.68369 0.71556 4.66% 33.9 94s
20982 4132 cutoff 48 0.68369 0.71545 4.65% 33.9 95s
22366 4178 cutoff 31 0.68369 0.71306 4.30% 34.1 101s
23378 4211 0.68974 70 94 0.68369 0.71132 4.04% 34.5 105s
24792 4317 cutoff 43 0.68369 0.71003 3.85% 34.8 111s
25854 4383 0.70258 59 119 0.68369 0.70851 3.63% 35.1 115s
26951 4453 0.68667 33 156 0.68369 0.70749 3.48% 35.3 120s
28510 4613 0.69519 41 148 0.68369 0.70626 3.30% 35.5 125s
29752 4749 0.68684 68 121 0.68369 0.70541 3.18% 35.4 130s
31047 4949 0.68554 49 110 0.68369 0.70454 3.05% 35.4 135s
32767 5214 0.69826 45 116 0.68369 0.70367 2.92% 35.2 140s
34049 5358 cutoff 37 0.68369 0.70289 2.81% 35.1 145s
34774 5327 0.68787 56 115 0.68369 0.70234 2.73% 35.2 150s
36010 5405 infeasible 57 0.68369 0.70162 2.62% 35.2 155s
37726 5513 infeasible 46 0.68369 0.70059 2.47% 35.1 160s
39248 5518 0.68460 82 89 0.68369 0.69970 2.34% 35.2 166s
40608 5609 0.68621 59 125 0.68369 0.69900 2.24% 35.1 170s
42545 5966 cutoff 51 0.68369 0.69846 2.16% 34.7 175s
43794 5980 0.69524 54 133 0.68369 0.69806 2.10% 34.6 180s
45419 5988 cutoff 68 0.68369 0.69717 1.97% 34.5 185s
47133 6003 cutoff 66 0.68369 0.69659 1.89% 34.4 190s
48736 6052 0.69577 57 84 0.68369 0.69580 1.77% 34.3 195s
50344 6067 cutoff 73 0.68369 0.69510 1.67% 34.1 200s
52114 6214 0.69346 78 100 0.68369 0.69446 1.58% 33.8 206s
53691 6509 0.68914 48 161 0.68369 0.69415 1.53% 33.4 210s
55846 6724 cutoff 50 0.68369 0.69347 1.43% 33.1 215s
57711 6851 infeasible 73 0.68369 0.69292 1.35% 32.8 220s
59406 6923 0.69265 67 75 0.68369 0.69265 1.31% 32.5 225s
61117 7094 0.69049 62 96 0.68369 0.69212 1.23% 32.1 230s
62987 7300 0.68587 92 57 0.68369 0.69177 1.18% 31.7 235s
65078 7422 cutoff 38 0.68369 0.69130 1.11% 31.4 240s
67421 7686 0.68952 72 82 0.68369 0.69091 1.06% 30.9 245s
69278 7942 0.68729 75 68 0.68369 0.69065 1.02% 30.5 250s
Cutting planes:
Gomory: 152
Cover: 5
Implied bound: 55
Projected implied bound: 36
MIR: 36
Flow cover: 143
Inf proof: 299
Explored 70199 nodes (2135092 simplex iterations) in 251.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.68369 0.68369
Optimal solution found (tolerance 1.00e-02)
Best objective 6.836901747443e-01, best bound 6.904868745387e-01, gap 0.9941%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiqq9pqyv.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprdch1fv8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.67322
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 8.373629e-01, 1229 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.83736 0 118 0.67322 0.83736 24.4% - 0s
0 0 0.81829 0 136 0.67322 0.81829 21.5% - 0s
0 0 0.81828 0 134 0.67322 0.81828 21.5% - 0s
0 0 0.81168 0 141 0.67322 0.81168 20.6% - 0s
0 0 0.81163 0 142 0.67322 0.81163 20.6% - 0s
0 0 0.81157 0 146 0.67322 0.81157 20.5% - 0s
0 0 0.81156 0 147 0.67322 0.81156 20.5% - 0s
0 0 0.81155 0 147 0.67322 0.81155 20.5% - 0s
0 0 0.81147 0 149 0.67322 0.81147 20.5% - 0s
0 0 0.81147 0 148 0.67322 0.81147 20.5% - 0s
0 2 0.81147 0 146 0.67322 0.81147 20.5% - 0s
757 609 0.77290 11 142 0.67322 0.77290 14.8% 17.3 5s
1803 926 0.72238 33 136 0.67322 0.76433 13.5% 24.1 10s
3130 1189 0.73249 31 133 0.67322 0.75673 12.4% 28.6 15s
4542 1737 0.69445 61 118 0.67322 0.75308 11.9% 29.2 20s
6062 2216 0.70944 30 137 0.67322 0.74815 11.1% 31.3 25s
7606 2661 cutoff 31 0.67322 0.74495 10.7% 33.4 30s
8757 3075 0.72605 32 131 0.67322 0.74323 10.4% 33.6 35s
10323 3491 infeasible 38 0.67322 0.74109 10.1% 35.0 40s
11556 3772 cutoff 36 0.67322 0.73968 9.87% 36.0 45s
12926 4050 0.69132 31 140 0.67322 0.73819 9.65% 36.8 50s
13993 4164 0.71092 37 130 0.67322 0.73668 9.43% 37.3 55s
15696 4392 cutoff 38 0.67322 0.73442 9.09% 38.1 60s
16972 4565 0.69824 34 129 0.67322 0.73288 8.86% 38.9 65s
18491 4823 0.71501 31 148 0.67322 0.73100 8.58% 39.4 70s
19788 4969 0.68445 41 120 0.67322 0.72996 8.43% 40.0 76s
20851 5129 0.67904 49 148 0.67322 0.72881 8.26% 40.5 97s
20859 5134 0.68337 48 188 0.67322 0.72881 8.26% 40.4 101s
20866 5139 0.68339 55 217 0.67322 0.72881 8.26% 40.4 105s
20871 5142 0.69659 38 222 0.67322 0.72881 8.26% 40.4 111s
20876 5146 0.68003 36 217 0.67322 0.72881 8.26% 40.4 115s
20880 5148 0.70316 56 231 0.67322 0.72881 8.26% 40.4 121s
20883 5150 0.69790 39 254 0.67322 0.72881 8.26% 40.4 125s
20888 5154 0.67777 41 266 0.67322 0.72881 8.26% 40.4 131s
20892 5156 0.69820 38 256 0.67322 0.72881 8.26% 40.4 135s
20895 5158 0.71065 38 265 0.67322 0.72881 8.26% 40.4 140s
20898 5160 0.70827 45 274 0.67322 0.72881 8.26% 40.4 145s
20902 5163 0.68097 106 273 0.67322 0.72881 8.26% 40.4 150s
20905 5165 0.70598 37 268 0.67322 0.72881 8.26% 40.4 156s
20908 5167 0.72275 35 280 0.67322 0.72881 8.26% 40.3 160s
20913 5170 0.69184 43 267 0.67322 0.72881 8.26% 40.3 167s
20915 5172 0.69127 40 270 0.67322 0.72881 8.26% 40.3 170s
20918 5174 0.68681 44 277 0.67322 0.72881 8.26% 40.3 175s
20922 5176 0.67628 91 263 0.67322 0.72881 8.26% 40.3 180s
20927 5180 0.69997 35 263 0.67322 0.72881 8.26% 40.3 185s
20930 5182 0.71218 36 281 0.67322 0.72881 8.26% 40.3 190s
20934 5184 0.71606 39 271 0.67322 0.72881 8.26% 40.3 195s
20939 5188 0.72551 37 263 0.67322 0.72881 8.26% 40.3 200s
20942 5190 0.71781 38 282 0.67322 0.72881 8.26% 40.3 206s
20945 5192 0.67973 116 289 0.67322 0.72881 8.26% 40.3 210s
20948 5194 0.69127 38 278 0.67322 0.72881 8.26% 40.3 215s
20953 5197 0.68874 43 274 0.67322 0.72881 8.26% 40.3 220s
20957 5200 0.71302 34 265 0.67322 0.72881 8.26% 40.3 225s
20962 5203 0.70030 52 276 0.67322 0.72881 8.26% 40.2 230s
20966 5206 0.68339 55 274 0.67322 0.72881 8.26% 40.2 235s
20970 5208 0.71897 29 275 0.67322 0.72881 8.26% 40.2 240s
20974 5211 0.70440 54 270 0.67322 0.72881 8.26% 40.2 246s
20977 5213 0.68976 75 270 0.67322 0.72881 8.26% 40.2 250s
20980 5215 0.70316 56 266 0.67322 0.72881 8.26% 40.2 255s
20983 5217 0.69790 39 279 0.67322 0.72881 8.26% 40.2 260s
20986 5219 0.67913 50 267 0.67322 0.72881 8.26% 40.2 265s
20990 5222 0.71173 34 277 0.67322 0.72881 8.26% 40.2 271s
20993 5224 0.71694 33 284 0.67322 0.72881 8.26% 40.2 275s
20996 5226 0.67905 50 284 0.67322 0.72881 8.26% 40.2 281s
20998 5227 0.70827 45 282 0.67322 0.72881 8.26% 40.2 285s
21002 5230 0.68097 106 280 0.67322 0.72881 8.26% 40.2 291s
21004 5231 0.70939 36 274 0.67322 0.72881 8.26% 40.2 295s
21007 5233 0.72366 39 286 0.67322 0.72881 8.26% 40.2 300s
21011 5236 0.71702 44 287 0.67322 0.72881 8.26% 40.1 305s
21016 5239 0.69664 42 283 0.67322 0.72881 8.26% 40.1 311s
21020 5242 0.72532 34 285 0.67322 0.72881 8.26% 40.1 315s
21023 5244 0.70770 33 285 0.67322 0.72881 8.26% 40.1 320s
21028 5247 0.70480 39 280 0.67322 0.72881 8.26% 40.1 327s
21031 5252 0.72881 22 263 0.67322 0.72881 8.26% 41.9 338s
21033 5253 0.72391 23 273 0.67322 0.72881 8.26% 41.9 348s
21037 5254 infeasible 24 0.67322 0.72881 8.26% 42.0 350s
21060 5255 0.71560 30 254 0.67322 0.72472 7.65% 42.3 355s
21122 5263 0.71663 35 236 0.67322 0.72442 7.60% 42.9 360s
21258 5308 0.71462 30 239 0.67322 0.72438 7.60% 43.5 365s
21332 5329 0.67346 39 211 0.67322 0.72438 7.60% 43.7 370s
21566 5344 0.68344 30 216 0.67322 0.72223 7.28% 44.2 375s
21726 5332 0.70677 32 237 0.67322 0.72000 6.95% 45.1 380s
21917 5367 cutoff 40 0.67322 0.71794 6.64% 45.9 385s
22139 5405 0.70673 58 204 0.67322 0.71748 6.57% 46.8 390s
22407 5491 cutoff 53 0.67322 0.71667 6.45% 47.1 395s
22632 5510 0.70232 35 227 0.67322 0.71585 6.33% 48.0 400s
22885 5558 0.69775 32 235 0.67322 0.71551 6.28% 48.7 405s
23117 5584 0.68171 34 242 0.67322 0.71500 6.21% 49.5 411s
23281 5571 0.71067 38 226 0.67322 0.71447 6.13% 50.3 415s
23575 5600 0.68527 56 158 0.67322 0.71284 5.89% 51.4 421s
H23676 5347 0.6732197 0.71284 5.89% 51.8 424s
23705 5342 cutoff 39 0.67322 0.71227 5.80% 52.0 426s
23964 5350 0.68149 41 226 0.67322 0.71150 5.69% 52.7 431s
24217 5367 0.68544 43 203 0.67322 0.71056 5.55% 53.7 437s
24357 5371 0.67377 43 182 0.67322 0.70989 5.45% 54.2 440s
24590 5359 cutoff 59 0.67322 0.70930 5.36% 55.2 446s
24729 5352 cutoff 38 0.67322 0.70894 5.31% 55.8 450s
24985 5332 0.68640 47 219 0.67322 0.70818 5.19% 56.9 456s
25314 5341 0.67706 67 167 0.67322 0.70794 5.16% 57.9 463s
25457 5351 0.69927 41 217 0.67322 0.70780 5.14% 58.3 467s
25617 5352 0.69495 34 251 0.67322 0.70743 5.08% 59.0 471s
25786 5362 cutoff 38 0.67322 0.70714 5.04% 59.6 476s
25932 5356 cutoff 39 0.67322 0.70682 4.99% 60.4 480s
26080 5350 0.67648 36 217 0.67322 0.70646 4.94% 61.2 489s
26167 5340 0.68403 38 225 0.67322 0.70630 4.91% 61.8 493s
26338 5317 0.68135 54 178 0.67322 0.70614 4.89% 62.6 498s
26605 5324 cutoff 58 0.67322 0.70567 4.82% 63.2 504s
26888 5345 0.68884 36 234 0.67322 0.70528 4.76% 63.9 508s
27060 5331 0.69192 69 184 0.67322 0.70488 4.70% 64.7 513s
27170 5299 0.69545 35 225 0.67322 0.70478 4.69% 65.4 519s
27424 5290 cutoff 37 0.67322 0.70438 4.63% 66.2 524s
27740 5304 cutoff 43 0.67322 0.70408 4.58% 66.8 530s
28037 5343 cutoff 40 0.67322 0.70396 4.57% 67.5 536s
28359 5336 cutoff 42 0.67322 0.70367 4.52% 68.1 542s
28704 5365 cutoff 52 0.67322 0.70321 4.45% 68.7 548s
28968 5359 0.67821 48 213 0.67322 0.70287 4.40% 69.6 554s
29289 5354 0.67511 36 198 0.67322 0.70237 4.33% 70.5 561s
29647 5338 0.68347 57 169 0.67322 0.70195 4.27% 71.3 567s
29953 5328 0.69252 35 229 0.67322 0.70133 4.18% 72.3 574s
30311 5317 0.68299 64 195 0.67322 0.70128 4.17% 73.2 582s
30540 5292 0.69101 46 180 0.67322 0.70082 4.10% 73.8 590s
31063 5305 cutoff 67 0.67322 0.70055 4.06% 74.3 598s
31479 5289 cutoff 46 0.67322 0.70025 4.02% 75.2 600s
Cutting planes:
Gomory: 261
Cover: 8
Implied bound: 36
Projected implied bound: 74
Clique: 2
MIR: 192
StrongCG: 6
Flow cover: 649
Inf proof: 60
Zero half: 1
Explored 31482 nodes (2368107 simplex iterations) in 600.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.67322 0.67322
Time limit reached
Best objective 6.732197026818e-01, best bound 7.002499289855e-01, gap 4.0151%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprtganmhi.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpswytg6uu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.666819
Presolve removed 816 rows and 528 columns
Presolve time: 0.04s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 8.303276e-01, 1290 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.83033 0 124 0.66682 0.83033 24.5% - 0s
0 0 0.80983 0 135 0.66682 0.80983 21.4% - 0s
0 0 0.80983 0 135 0.66682 0.80983 21.4% - 0s
0 0 0.80730 0 150 0.66682 0.80730 21.1% - 0s
0 0 0.80730 0 151 0.66682 0.80730 21.1% - 0s
0 0 0.80720 0 158 0.66682 0.80720 21.1% - 0s
0 0 0.80719 0 159 0.66682 0.80719 21.1% - 0s
0 0 0.80691 0 159 0.66682 0.80691 21.0% - 0s
0 0 0.80672 0 157 0.66682 0.80672 21.0% - 0s
0 0 0.80669 0 159 0.66682 0.80669 21.0% - 0s
0 0 0.80668 0 159 0.66682 0.80668 21.0% - 0s
0 0 0.80668 0 149 0.66682 0.80668 21.0% - 0s
0 2 0.80668 0 149 0.66682 0.80668 21.0% - 0s
756 570 0.68238 86 145 0.66682 0.77648 16.4% 16.7 5s
1082 676 0.72300 25 152 0.66682 0.76606 14.9% 28.5 10s
2141 871 0.75053 28 148 0.66682 0.75513 13.2% 31.7 15s
3172 1108 0.70470 35 135 0.66682 0.74597 11.9% 34.7 21s
3796 1158 cutoff 31 0.66682 0.74160 11.2% 39.3 25s
4816 1374 0.68812 28 141 0.66682 0.73630 10.4% 40.9 30s
5875 1539 cutoff 47 0.66682 0.73093 9.61% 42.5 35s
6951 1793 cutoff 34 0.66682 0.72714 9.05% 42.9 40s
8088 2104 0.68136 41 120 0.66682 0.72419 8.60% 42.7 45s
9596 2563 cutoff 31 0.66682 0.72197 8.27% 41.6 50s
10639 2833 0.67379 31 145 0.66682 0.72059 8.06% 40.9 55s
12076 3204 cutoff 47 0.66682 0.71854 7.76% 40.5 60s
13146 3458 0.70780 47 123 0.66682 0.71741 7.59% 40.1 65s
14364 3785 0.70900 32 139 0.66682 0.71648 7.45% 39.9 70s
15822 4083 0.67466 45 141 0.66682 0.71443 7.14% 39.6 75s
16976 4293 cutoff 28 0.66682 0.71330 6.97% 39.7 80s
18234 4469 cutoff 54 0.66682 0.71209 6.79% 39.7 85s
19353 4534 0.70082 27 132 0.66682 0.71054 6.56% 39.9 90s
20573 4699 0.68641 44 121 0.66682 0.70929 6.37% 40.0 95s
20947 4774 0.69771 25 135 0.66682 0.70869 6.28% 40.1 112s
21698 4883 0.69024 33 148 0.66682 0.70802 6.18% 40.2 115s
22638 5019 cutoff 35 0.66682 0.70688 6.01% 40.9 120s
23530 5137 0.69972 27 138 0.66682 0.70596 5.87% 41.3 125s
24531 5236 cutoff 71 0.66682 0.70488 5.71% 41.7 131s
25707 5455 0.68619 38 134 0.66682 0.70385 5.55% 41.9 136s
26832 5545 cutoff 46 0.66682 0.70319 5.45% 42.3 141s
27960 5737 cutoff 63 0.66682 0.70210 5.29% 42.5 146s
28633 5832 0.70011 49 125 0.66682 0.70151 5.20% 42.9 150s
29663 5956 0.69018 43 142 0.66682 0.70081 5.10% 43.2 155s
30918 6248 0.69973 56 118 0.66682 0.69995 4.97% 43.3 160s
32165 6431 0.69709 44 126 0.66682 0.69906 4.83% 43.4 166s
33077 6683 0.68350 64 90 0.66682 0.69852 4.75% 43.3 171s
33996 6850 cutoff 45 0.66682 0.69824 4.71% 43.2 176s
34843 7081 0.67782 66 108 0.66682 0.69789 4.66% 43.0 180s
36232 7381 0.68049 51 118 0.66682 0.69736 4.58% 42.9 185s
37510 7661 cutoff 55 0.66682 0.69693 4.51% 42.8 190s
38870 7987 0.68834 49 141 0.66682 0.69650 4.45% 42.7 195s
40263 8419 infeasible 48 0.66682 0.69623 4.41% 42.5 201s
41848 8985 cutoff 39 0.66682 0.69587 4.36% 42.1 206s
42999 9270 cutoff 51 0.66682 0.69555 4.31% 42.1 211s
43943 9459 cutoff 56 0.66682 0.69529 4.27% 42.2 216s
44981 9598 0.66961 68 121 0.66682 0.69488 4.21% 42.4 221s
45704 9687 cutoff 57 0.66682 0.69471 4.18% 42.5 225s
46927 9948 0.66971 88 116 0.66682 0.69436 4.13% 42.4 230s
48121 10200 cutoff 50 0.66682 0.69412 4.09% 42.4 236s
49294 10454 0.67278 49 138 0.66682 0.69386 4.05% 42.4 241s
50005 10584 0.67070 53 118 0.66682 0.69364 4.02% 42.5 245s
51072 10732 0.69307 45 150 0.66682 0.69331 3.97% 42.7 250s
52395 11058 0.67547 39 156 0.66682 0.69298 3.92% 42.6 255s
53768 11414 cutoff 54 0.66682 0.69269 3.88% 42.5 261s
H53775 11414 0.6668190 0.69269 3.88% 42.5 261s
54078 11403 cutoff 52 0.66682 0.69263 3.87% 42.6 265s
55189 11595 infeasible 38 0.66682 0.69233 3.83% 42.7 270s
56273 11744 0.68370 38 119 0.66682 0.69208 3.79% 42.7 276s
57021 11855 0.67646 40 136 0.66682 0.69184 3.75% 42.8 280s
58149 11999 0.66881 49 103 0.66682 0.69158 3.71% 42.9 285s
H59096 12231 0.6668190 0.69136 3.68% 42.9 289s
59202 12225 0.68917 46 157 0.66682 0.69132 3.67% 42.9 291s
60040 12408 0.68305 62 118 0.66682 0.69119 3.66% 42.9 295s
61108 12706 0.67241 51 131 0.66682 0.69092 3.61% 42.8 300s
62325 12970 0.67181 28 174 0.66682 0.69068 3.58% 42.8 305s
63645 13227 cutoff 50 0.66682 0.69044 3.54% 42.8 311s
64326 13258 cutoff 47 0.66682 0.69024 3.51% 42.9 315s
65424 13402 0.68734 43 106 0.66682 0.69000 3.48% 43.0 320s
66121 13499 0.68636 45 117 0.66682 0.68980 3.45% 43.1 327s
66764 13575 0.67321 36 185 0.66682 0.68962 3.42% 43.2 331s
67531 13647 0.67795 41 132 0.66682 0.68949 3.40% 43.4 336s
68372 13781 cutoff 77 0.66682 0.68932 3.37% 43.4 340s
69446 13873 infeasible 41 0.66682 0.68910 3.34% 43.6 346s
70259 13929 0.68660 63 111 0.66682 0.68894 3.32% 43.8 350s
71428 14031 0.67851 49 126 0.66682 0.68873 3.29% 44.0 356s
72276 14132 0.66720 56 119 0.66682 0.68851 3.25% 44.0 360s
73100 14255 cutoff 35 0.66682 0.68841 3.24% 44.1 365s
73881 14342 cutoff 45 0.66682 0.68829 3.22% 44.2 370s
75136 14469 cutoff 49 0.66682 0.68806 3.19% 44.3 376s
75951 14522 0.67658 69 122 0.66682 0.68789 3.16% 44.4 380s
76690 14581 0.68668 47 137 0.66682 0.68773 3.14% 44.5 385s
77894 14674 0.67328 56 123 0.66682 0.68753 3.11% 44.7 391s
78703 14738 0.67334 55 127 0.66682 0.68742 3.09% 44.8 395s
79498 14782 0.66913 43 129 0.66682 0.68734 3.08% 44.9 400s
80838 15052 0.68008 30 148 0.66682 0.68708 3.04% 44.9 406s
81673 15145 0.67885 38 126 0.66682 0.68695 3.02% 45.0 411s
82548 15251 0.68489 42 161 0.66682 0.68682 3.00% 45.1 415s
83394 15343 0.67452 54 136 0.66682 0.68666 2.97% 45.2 420s
84308 15466 cutoff 43 0.66682 0.68651 2.95% 45.2 425s
85493 15593 cutoff 33 0.66682 0.68628 2.92% 45.4 431s
86338 15698 0.68266 54 111 0.66682 0.68617 2.90% 45.5 435s
87221 15812 0.67707 64 109 0.66682 0.68602 2.88% 45.6 440s
88059 15850 cutoff 54 0.66682 0.68588 2.86% 45.6 445s
89291 15938 0.66698 53 120 0.66682 0.68564 2.82% 45.8 451s
90144 16026 cutoff 43 0.66682 0.68551 2.80% 45.9 456s
91082 16104 0.67723 52 126 0.66682 0.68537 2.78% 45.9 460s
91899 16234 0.67726 50 126 0.66682 0.68526 2.77% 45.9 465s
93344 16363 infeasible 54 0.66682 0.68505 2.73% 45.9 471s
94339 16458 0.67389 43 141 0.66682 0.68493 2.72% 45.9 476s
95307 16571 cutoff 49 0.66682 0.68482 2.70% 46.0 481s
96243 16676 cutoff 49 0.66682 0.68471 2.68% 46.0 486s
97144 16729 0.68219 43 135 0.66682 0.68455 2.66% 46.0 491s
98159 16895 cutoff 71 0.66682 0.68443 2.64% 46.0 496s
99069 17011 cutoff 55 0.66682 0.68429 2.62% 46.0 501s
100049 17180 cutoff 28 0.66682 0.68421 2.61% 46.0 505s
101006 17316 0.67551 69 101 0.66682 0.68412 2.59% 46.0 510s
102488 17643 cutoff 34 0.66682 0.68399 2.57% 46.0 516s
103084 17731 0.67285 43 128 0.66682 0.68390 2.56% 45.9 521s
104124 17915 cutoff 59 0.66682 0.68380 2.55% 45.9 526s
105100 18048 0.68115 68 107 0.66682 0.68367 2.53% 45.8 531s
106164 18264 0.67208 66 110 0.66682 0.68358 2.51% 45.8 535s
107115 18353 0.67920 29 162 0.66682 0.68348 2.50% 45.8 540s
108557 18507 0.68185 36 151 0.66682 0.68332 2.47% 45.8 546s
109542 18654 0.67983 76 112 0.66682 0.68320 2.46% 45.8 551s
110508 18759 0.68244 66 122 0.66682 0.68313 2.45% 45.8 555s
111950 18873 0.67654 57 130 0.66682 0.68297 2.42% 45.8 561s
112947 19026 0.67398 46 136 0.66682 0.68288 2.41% 45.7 566s
113900 19156 0.68239 51 141 0.66682 0.68278 2.39% 45.7 570s
114874 19301 cutoff 46 0.66682 0.68268 2.38% 45.6 575s
116315 19495 cutoff 54 0.66682 0.68253 2.36% 45.6 581s
117358 19663 0.68107 54 112 0.66682 0.68244 2.34% 45.5 585s
118285 19708 0.66869 57 124 0.66682 0.68237 2.33% 45.5 590s
119684 19828 0.67514 48 100 0.66682 0.68221 2.31% 45.6 596s
120676 19988 infeasible 50 0.66682 0.68216 2.30% 45.5 600s
Cutting planes:
Gomory: 156
Cover: 3
Implied bound: 111
Projected implied bound: 44
MIR: 37
Flow cover: 174
Inf proof: 426
Explored 120691 nodes (5499663 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.666819 0.666819 0.666819
Time limit reached
Best objective 6.668189954793e-01, best bound 6.821531932218e-01, gap 2.2996%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7wyd_y7h.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyd_dx0ry.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.65893
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 8.212075e-01, 1276 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.82121 0 128 0.65893 0.82121 24.6% - 0s
0 0 0.80253 0 141 0.65893 0.80253 21.8% - 0s
0 0 0.80252 0 139 0.65893 0.80252 21.8% - 0s
0 0 0.79762 0 148 0.65893 0.79762 21.0% - 0s
0 0 0.79761 0 155 0.65893 0.79761 21.0% - 0s
0 0 0.79728 0 158 0.65893 0.79728 21.0% - 0s
0 0 0.79727 0 162 0.65893 0.79727 21.0% - 0s
0 0 0.79724 0 165 0.65893 0.79724 21.0% - 0s
0 0 0.79722 0 164 0.65893 0.79722 21.0% - 0s
0 0 0.79703 0 164 0.65893 0.79703 21.0% - 0s
0 0 0.79703 0 163 0.65893 0.79703 21.0% - 0s
0 0 0.79694 0 160 0.65893 0.79694 20.9% - 0s
0 0 0.79694 0 160 0.65893 0.79694 20.9% - 0s
0 0 0.79694 0 160 0.65893 0.79694 20.9% - 0s
0 0 0.79694 0 156 0.65893 0.79694 20.9% - 0s
0 2 0.79694 0 155 0.65893 0.79694 20.9% - 0s
771 501 0.67341 46 145 0.65893 0.76770 16.5% 16.9 5s
1303 674 0.74250 29 143 0.65893 0.76427 16.0% 28.7 10s
1974 748 0.73139 31 144 0.65893 0.75082 13.9% 33.9 15s
2797 1013 0.67980 36 136 0.65893 0.74236 12.7% 38.2 20s
3805 1427 0.71395 31 134 0.65893 0.73763 11.9% 39.1 25s
4672 1704 0.67380 33 138 0.65893 0.73446 11.5% 40.5 30s
5601 1997 cutoff 39 0.65893 0.73090 10.9% 41.8 35s
6281 2131 0.72110 32 145 0.65893 0.72875 10.6% 43.0 40s
7130 2319 0.70854 33 128 0.65893 0.72633 10.2% 44.5 45s
8063 2548 cutoff 37 0.65893 0.72444 9.94% 45.1 50s
9324 2834 0.68219 34 142 0.65893 0.72220 9.60% 45.7 55s
H10313 2988 0.6589304 0.72036 9.32% 46.6 60s
11342 3185 0.67756 46 138 0.65893 0.71880 9.09% 47.0 66s
12460 3372 0.68904 31 136 0.65893 0.71726 8.85% 47.7 71s
13291 3514 0.70665 30 148 0.65893 0.71629 8.71% 47.8 75s
13868 3619 0.71085 30 149 0.65893 0.71555 8.59% 48.0 80s
15016 3824 0.67029 33 161 0.65893 0.71455 8.44% 48.3 85s
16324 4114 cutoff 44 0.65893 0.71362 8.30% 48.3 91s
17120 4270 0.67351 35 140 0.65893 0.71305 8.21% 48.5 95s
18248 4443 0.68326 29 140 0.65893 0.71173 8.01% 49.1 101s
18652 4461 0.68136 33 143 0.65893 0.71150 7.98% 49.2 105s
19707 4563 0.66341 32 134 0.65893 0.71047 7.82% 49.9 111s
20522 4664 cutoff 34 0.65893 0.70945 7.67% 50.2 130s
21295 4794 0.67131 32 156 0.65893 0.70874 7.56% 50.4 135s
22181 4906 0.68662 34 158 0.65893 0.70802 7.45% 51.2 140s
22868 4963 0.67779 29 158 0.65893 0.70753 7.38% 51.7 145s
23196 4994 0.67017 37 161 0.65893 0.70723 7.33% 52.1 150s
24135 5077 0.67478 38 155 0.65893 0.70634 7.20% 53.0 156s
24824 5157 cutoff 37 0.65893 0.70584 7.12% 53.3 160s
25472 5163 0.66498 39 144 0.65893 0.70506 7.00% 53.9 165s
26504 5272 cutoff 31 0.65893 0.70395 6.83% 54.6 170s
27234 5394 0.68496 32 151 0.65893 0.70331 6.73% 54.9 175s
28346 5516 0.68325 32 153 0.65893 0.70229 6.58% 55.3 181s
29046 5595 0.67884 30 152 0.65893 0.70160 6.47% 55.7 185s
29758 5631 infeasible 29 0.65893 0.70098 6.38% 56.0 190s
30433 5701 0.67905 36 162 0.65893 0.70027 6.27% 56.5 195s
31676 5834 cutoff 42 0.65893 0.69932 6.13% 56.8 201s
32481 5926 infeasible 37 0.65893 0.69850 6.01% 57.0 205s
33243 5983 infeasible 41 0.65893 0.69749 5.85% 57.2 210s
34474 6052 0.67013 41 129 0.65893 0.69641 5.69% 57.5 216s
35311 6147 0.66832 42 136 0.65893 0.69569 5.58% 57.7 220s
36124 6148 0.67727 35 138 0.65893 0.69503 5.48% 58.0 225s
36925 6218 0.66926 53 124 0.65893 0.69429 5.37% 58.2 230s
38288 6482 infeasible 32 0.65893 0.69342 5.23% 58.1 236s
39055 6564 0.67150 44 138 0.65893 0.69277 5.14% 58.3 240s
39880 6695 0.66795 36 142 0.65893 0.69223 5.05% 58.2 245s
40792 6944 cutoff 31 0.65893 0.69181 4.99% 58.1 250s
42204 7183 0.67420 49 132 0.65893 0.69110 4.88% 58.0 256s
43075 7297 0.67597 38 157 0.65893 0.69056 4.80% 57.9 261s
43914 7351 infeasible 34 0.65893 0.69017 4.74% 58.0 265s
44779 7422 0.68627 33 161 0.65893 0.68948 4.64% 58.0 270s
46079 7567 cutoff 49 0.65893 0.68879 4.53% 58.1 276s
46901 7579 0.66431 45 139 0.65893 0.68831 4.46% 58.2 281s
47709 7648 cutoff 54 0.65893 0.68784 4.39% 58.3 285s
48512 7682 0.66051 46 148 0.65893 0.68738 4.32% 58.4 290s
49779 7718 cutoff 39 0.65893 0.68663 4.20% 58.6 296s
50652 7771 cutoff 36 0.65893 0.68627 4.15% 58.6 300s
51596 7884 0.68151 41 116 0.65893 0.68577 4.07% 58.5 305s
52045 7941 0.66601 48 119 0.65893 0.68560 4.05% 58.5 310s
52759 7963 0.68172 44 121 0.65893 0.68541 4.02% 58.4 315s
54114 8127 cutoff 37 0.65893 0.68480 3.93% 58.3 321s
54955 8148 0.66388 53 112 0.65893 0.68447 3.88% 58.3 325s
55818 8205 0.67707 51 134 0.65893 0.68397 3.80% 58.4 330s
57207 8311 0.66884 53 135 0.65893 0.68333 3.70% 58.3 336s
58116 8380 0.66447 32 148 0.65893 0.68290 3.64% 58.2 340s
59475 8500 0.67106 33 146 0.65893 0.68240 3.56% 58.2 346s
60432 8585 cutoff 45 0.65893 0.68197 3.50% 58.1 350s
61278 8651 0.66710 44 135 0.65893 0.68164 3.45% 58.1 355s
62720 8793 0.67158 43 128 0.65893 0.68118 3.38% 57.9 360s
63553 8797 cutoff 56 0.65893 0.68072 3.31% 57.9 365s
64790 8854 0.67617 32 165 0.65893 0.68019 3.23% 57.9 370s
66119 8967 cutoff 76 0.65893 0.67978 3.16% 57.8 376s
67133 9125 0.67146 43 154 0.65893 0.67945 3.11% 57.6 381s
68025 9181 0.66776 41 127 0.65893 0.67915 3.07% 57.6 385s
69517 9436 0.66371 34 162 0.65893 0.67877 3.01% 57.3 391s
70442 9562 cutoff 40 0.65893 0.67842 2.96% 57.2 395s
72020 9895 0.66447 56 121 0.65893 0.67807 2.91% 56.8 401s
73120 10171 infeasible 46 0.65893 0.67776 2.86% 56.5 405s
74611 10492 0.66338 47 118 0.65893 0.67745 2.81% 56.1 411s
76008 10733 0.67389 59 98 0.65893 0.67715 2.76% 55.9 416s
76836 10802 0.66577 41 155 0.65893 0.67690 2.73% 55.8 420s
78055 10952 cutoff 49 0.65893 0.67657 2.68% 55.7 425s
79433 11122 0.65937 50 126 0.65893 0.67626 2.63% 55.5 430s
80713 11306 0.67334 69 112 0.65893 0.67594 2.58% 55.3 436s
82110 11621 cutoff 48 0.65893 0.67572 2.55% 55.0 442s
82121 11625 0.66355 40 158 0.65893 0.67567 2.54% 55.0 445s
83179 11766 infeasible 68 0.65893 0.67546 2.51% 54.8 451s
84080 11874 0.66340 67 105 0.65893 0.67524 2.48% 54.7 455s
85512 12124 cutoff 58 0.65893 0.67505 2.45% 54.4 460s
86846 12379 0.66652 64 105 0.65893 0.67482 2.41% 54.2 466s
88220 12692 0.66193 59 95 0.65893 0.67460 2.38% 53.9 471s
89065 12785 0.66225 40 137 0.65893 0.67443 2.35% 53.8 475s
90443 12989 cutoff 86 0.65893 0.67422 2.32% 53.5 480s
91899 13331 0.67130 44 132 0.65893 0.67406 2.30% 53.3 485s
93393 13594 0.67358 62 125 0.65893 0.67385 2.26% 53.0 491s
94838 14006 cutoff 38 0.65893 0.67376 2.25% 52.7 496s
96525 14578 0.66804 41 153 0.65893 0.67358 2.22% 52.3 501s
98144 15017 0.66337 46 153 0.65893 0.67346 2.21% 51.9 506s
99476 15340 infeasible 40 0.65893 0.67330 2.18% 51.6 511s
100992 15760 0.66213 51 173 0.65893 0.67318 2.16% 51.3 516s
102281 16013 0.67043 73 103 0.65893 0.67308 2.15% 51.1 521s
103720 16346 cutoff 66 0.65893 0.67289 2.12% 50.9 526s
104744 16619 cutoff 42 0.65893 0.67283 2.11% 50.7 530s
105988 16924 0.66920 57 138 0.65893 0.67269 2.09% 50.5 535s
107337 17209 0.66927 38 149 0.65893 0.67258 2.07% 50.3 540s
108504 17330 0.66090 64 109 0.65893 0.67244 2.05% 50.2 545s
109822 17535 cutoff 71 0.65893 0.67231 2.03% 50.1 550s
111167 17736 cutoff 75 0.65893 0.67221 2.02% 49.9 555s
112478 17950 0.67178 56 140 0.65893 0.67208 2.00% 49.8 560s
113320 18075 0.66688 48 137 0.65893 0.67203 1.99% 49.7 565s
114292 18271 infeasible 65 0.65893 0.67194 1.97% 49.6 571s
115585 18448 cutoff 44 0.65893 0.67180 1.95% 49.4 576s
116536 18615 0.66540 41 159 0.65893 0.67170 1.94% 49.3 580s
118074 18814 0.67156 58 96 0.65893 0.67156 1.92% 49.1 585s
119545 19130 cutoff 52 0.65893 0.67146 1.90% 48.9 590s
120931 19475 0.66483 58 115 0.65893 0.67134 1.88% 48.7 595s
122306 19770 cutoff 40 0.65893 0.67124 1.87% 48.6 600s
Cutting planes:
Gomory: 158
Cover: 3
Implied bound: 96
Projected implied bound: 34
MIR: 42
Flow cover: 189
Inf proof: 490
Explored 122482 nodes (5953454 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.65893 0.65893
Time limit reached
Best objective 6.589304061960e-01, best bound 6.712347379426e-01, gap 1.8673%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpghstqlwx.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4vo2y9d0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.648718
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.107276e-01, 1334 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.81073 0 132 0.64872 0.81073 25.0% - 0s
0 0 0.78574 0 142 0.64872 0.78574 21.1% - 0s
0 0 0.78343 0 162 0.64872 0.78343 20.8% - 0s
0 0 0.78342 0 162 0.64872 0.78342 20.8% - 0s
0 0 0.78334 0 165 0.64872 0.78334 20.8% - 0s
0 0 0.78334 0 166 0.64872 0.78334 20.8% - 0s
0 0 0.78329 0 167 0.64872 0.78329 20.7% - 0s
0 0 0.78329 0 160 0.64872 0.78329 20.7% - 0s
0 2 0.78329 0 158 0.64872 0.78329 20.7% - 0s
753 578 0.75469 11 146 0.64872 0.76094 17.3% 20.2 5s
1598 817 0.67614 56 146 0.64872 0.74985 15.6% 26.7 10s
2873 1217 0.70052 29 144 0.64872 0.74079 14.2% 30.1 15s
4144 1927 infeasible 28 0.64872 0.73537 13.4% 30.7 20s
5168 2316 0.66738 30 128 0.64872 0.73200 12.8% 32.7 26s
5971 2579 0.65531 36 131 0.64872 0.72942 12.4% 34.0 30s
6806 2831 0.68735 28 151 0.64872 0.72673 12.0% 35.0 35s
8022 3219 0.65826 33 136 0.64872 0.72363 11.5% 35.7 40s
9316 3496 0.67279 34 146 0.64872 0.72077 11.1% 36.9 45s
10189 3695 0.66671 45 149 0.64872 0.71915 10.9% 37.9 50s
10845 3864 0.68176 27 146 0.64872 0.71812 10.7% 38.4 56s
11817 4099 0.69424 31 163 0.64872 0.71596 10.4% 39.2 61s
12929 4418 infeasible 30 0.64872 0.71395 10.1% 39.5 66s
H12930 4418 0.6487178 0.71395 10.1% 39.5 66s
H12977 4426 0.6487179 0.71381 10.0% 39.6 66s
13746 4534 0.69093 32 140 0.64872 0.71230 9.80% 40.1 71s
15253 5005 0.65385 38 142 0.64872 0.71023 9.48% 39.6 76s
16383 5265 0.68073 38 147 0.64872 0.70869 9.24% 39.9 81s
17676 5598 0.66424 30 162 0.64872 0.70724 9.02% 40.0 86s
18825 5925 0.66327 33 142 0.64872 0.70598 8.83% 40.2 91s
19951 6077 0.68241 43 136 0.64872 0.70443 8.59% 40.6 95s
20777 6236 0.68595 34 133 0.64872 0.70354 8.45% 40.9 115s
21776 6473 0.66892 28 151 0.64872 0.70267 8.32% 41.1 120s
22687 6649 0.67719 29 155 0.64872 0.70181 8.18% 41.5 125s
23694 6828 cutoff 28 0.64872 0.70073 8.02% 42.1 130s
24584 6960 0.67066 28 172 0.64872 0.69988 7.89% 42.7 135s
25501 7062 0.69046 33 160 0.64872 0.69842 7.66% 43.4 140s
26615 7295 0.65458 48 152 0.64872 0.69746 7.51% 43.5 146s
27783 7505 0.68064 47 148 0.64872 0.69617 7.32% 44.0 151s
28491 7637 cutoff 37 0.64872 0.69557 7.22% 44.2 155s
29543 7746 0.67412 36 163 0.64872 0.69453 7.06% 44.6 160s
30166 7808 cutoff 40 0.64872 0.69401 6.98% 45.0 165s
31176 7961 infeasible 48 0.64872 0.69297 6.82% 45.5 170s
32195 8016 infeasible 34 0.64872 0.69204 6.68% 45.9 176s
32837 8057 0.65605 37 149 0.64872 0.69125 6.56% 46.3 180s
33926 8243 0.64909 48 129 0.64872 0.69040 6.43% 46.6 186s
34765 8418 0.66611 41 151 0.64872 0.68993 6.35% 46.6 190s
35814 8501 infeasible 50 0.64872 0.68922 6.24% 47.1 196s
36571 8660 cutoff 42 0.64872 0.68881 6.18% 47.2 200s
37707 8778 0.65594 30 144 0.64872 0.68802 6.06% 47.6 206s
38446 8876 0.65013 37 149 0.64872 0.68757 5.99% 47.8 210s
39644 9047 0.65217 45 137 0.64872 0.68687 5.88% 47.9 216s
40405 9147 0.66129 34 162 0.64872 0.68641 5.81% 48.1 220s
41192 9329 cutoff 41 0.64872 0.68603 5.75% 48.2 225s
42342 9476 0.65532 40 163 0.64872 0.68541 5.66% 48.5 230s
43125 9600 cutoff 35 0.64872 0.68500 5.59% 48.6 235s
44461 9944 0.65162 46 135 0.64872 0.68446 5.51% 48.6 241s
44877 9975 0.65912 42 156 0.64872 0.68408 5.45% 48.6 245s
45633 10092 0.67228 43 142 0.64872 0.68362 5.38% 48.7 250s
46934 10404 0.65721 40 154 0.64872 0.68316 5.31% 48.6 256s
47630 10500 infeasible 37 0.64872 0.68280 5.25% 48.8 260s
48577 10766 cutoff 43 0.64872 0.68250 5.21% 48.7 265s
49849 11020 0.65513 37 167 0.64872 0.68204 5.14% 48.8 270s
51038 11204 0.66766 31 163 0.64872 0.68165 5.08% 48.8 276s
H51477 11314 0.6487179 0.68141 5.04% 48.8 278s
51809 11419 cutoff 38 0.64872 0.68133 5.03% 48.9 283s
51817 11381 0.65084 69 140 0.64872 0.68133 5.03% 48.9 285s
52673 11556 cutoff 65 0.64872 0.68108 4.99% 48.8 290s
53905 11827 cutoff 60 0.64872 0.68066 4.92% 48.8 296s
54668 12016 0.64956 43 156 0.64872 0.68036 4.88% 48.8 301s
55457 12137 cutoff 37 0.64872 0.68005 4.83% 48.9 306s
56494 12421 0.66158 33 135 0.64872 0.67981 4.79% 48.7 310s
57450 12634 0.65337 47 144 0.64872 0.67949 4.74% 48.6 315s
58745 12859 cutoff 32 0.64872 0.67913 4.69% 48.6 321s
59626 13006 0.65611 51 160 0.64872 0.67887 4.65% 48.5 325s
60592 13207 0.65705 34 163 0.64872 0.67859 4.60% 48.5 330s
62049 13511 cutoff 36 0.64872 0.67813 4.53% 48.3 335s
63310 13757 0.66961 38 133 0.64872 0.67780 4.48% 48.2 341s
64184 13909 0.66789 36 164 0.64872 0.67746 4.43% 48.2 345s
65577 14209 cutoff 33 0.64872 0.67713 4.38% 48.0 351s
67137 14611 0.65256 37 147 0.64872 0.67678 4.33% 47.8 356s
68203 14897 0.65844 70 99 0.64872 0.67658 4.29% 47.6 360s
69493 15159 0.66410 51 141 0.64872 0.67626 4.25% 47.5 365s
70767 15435 infeasible 50 0.64872 0.67588 4.19% 47.3 371s
71632 15632 0.66598 33 153 0.64872 0.67567 4.15% 47.3 375s
72949 15965 0.66739 41 144 0.64872 0.67535 4.10% 47.1 380s
74271 16260 cutoff 42 0.64872 0.67508 4.06% 47.1 386s
75516 16551 0.67490 43 145 0.64872 0.67490 4.04% 47.0 391s
76653 16711 0.66339 60 121 0.64872 0.67461 3.99% 46.9 396s
77536 16998 0.65303 44 152 0.64872 0.67447 3.97% 46.8 400s
78667 17143 cutoff 45 0.64872 0.67423 3.93% 46.8 405s
79990 17450 0.64941 85 121 0.64872 0.67399 3.89% 46.7 411s
80769 17609 0.66586 52 124 0.64872 0.67388 3.88% 46.7 415s
82143 17914 cutoff 54 0.64872 0.67365 3.84% 46.6 420s
83502 18127 cutoff 52 0.64872 0.67342 3.81% 46.5 426s
84278 18292 0.66470 106 121 0.64872 0.67328 3.79% 46.5 430s
85505 18521 0.65696 71 110 0.64872 0.67308 3.76% 46.5 435s
86733 18782 0.65877 41 140 0.64872 0.67282 3.72% 46.4 440s
87648 18980 infeasible 85 0.64872 0.67264 3.69% 46.3 445s
89018 19228 cutoff 31 0.64872 0.67242 3.65% 46.3 450s
90161 19447 0.65272 41 158 0.64872 0.67220 3.62% 46.3 456s
91315 19618 cutoff 84 0.64872 0.67199 3.59% 46.2 461s
92155 19774 cutoff 71 0.64872 0.67184 3.56% 46.2 465s
93309 19953 cutoff 70 0.64872 0.67164 3.53% 46.2 470s
94579 20192 infeasible 45 0.64872 0.67145 3.50% 46.1 476s
95755 20324 cutoff 50 0.64872 0.67119 3.46% 46.2 481s
96814 20512 0.66031 39 160 0.64872 0.67102 3.44% 46.1 485s
98244 20769 0.67001 83 115 0.64872 0.67080 3.40% 46.0 490s
99565 21014 cutoff 29 0.64872 0.67060 3.37% 46.0 496s
99980 21125 0.65658 65 127 0.64872 0.67053 3.36% 46.0 501s
100425 21168 cutoff 48 0.64872 0.67047 3.35% 45.9 505s
101644 21387 cutoff 42 0.64872 0.67029 3.33% 46.0 511s
102212 21423 0.64959 57 121 0.64872 0.67023 3.32% 45.9 515s
103645 21611 0.66678 55 135 0.64872 0.67005 3.29% 45.9 520s
105005 21837 0.66015 46 177 0.64872 0.66986 3.26% 45.8 526s
105796 21940 0.66755 42 140 0.64872 0.66973 3.24% 45.8 530s
107206 22189 0.65016 62 128 0.64872 0.66956 3.21% 45.7 536s
108101 22383 0.66469 38 164 0.64872 0.66944 3.20% 45.7 540s
109452 22587 0.66043 49 154 0.64872 0.66928 3.17% 45.6 545s
110821 22771 0.65459 61 128 0.64872 0.66913 3.15% 45.6 551s
111695 22856 0.64941 77 108 0.64872 0.66899 3.12% 45.6 555s
112991 23033 0.66411 38 180 0.64872 0.66883 3.10% 45.6 561s
113872 23166 0.65210 37 145 0.64872 0.66873 3.08% 45.6 565s
115327 23401 0.66378 98 130 0.64872 0.66858 3.06% 45.5 571s
116268 23545 0.66849 40 157 0.64872 0.66849 3.05% 45.5 575s
117536 23734 cutoff 65 0.64872 0.66829 3.02% 45.4 581s
118562 23911 0.65625 50 148 0.64872 0.66818 3.00% 45.4 585s
119873 24047 0.66676 107 131 0.64872 0.66803 2.98% 45.4 591s
120797 24173 cutoff 35 0.64872 0.66790 2.96% 45.3 595s
122066 24383 0.66739 64 132 0.64872 0.66777 2.94% 45.3 600s
Cutting planes:
Gomory: 164
Cover: 6
Implied bound: 76
Projected implied bound: 43
MIR: 34
Flow cover: 203
Inf proof: 387
Explored 122220 nodes (5541423 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.648718 0.648718 0.648718 0.648718
Time limit reached
Best objective 6.487178508081e-01, best bound 6.677459676941e-01, gap 2.9332%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk14s8guc.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiba0z2p4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.642631
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.061356e-01, 1330 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.80614 0 136 0.64263 0.80614 25.4% - 0s
0 0 0.78726 0 143 0.64263 0.78726 22.5% - 0s
0 0 0.78532 0 157 0.64263 0.78532 22.2% - 0s
0 0 0.78531 0 157 0.64263 0.78531 22.2% - 0s
0 0 0.78457 0 166 0.64263 0.78457 22.1% - 0s
0 0 0.78457 0 166 0.64263 0.78457 22.1% - 0s
0 0 0.78431 0 163 0.64263 0.78431 22.0% - 0s
0 0 0.78430 0 164 0.64263 0.78430 22.0% - 0s
0 0 0.78430 0 164 0.64263 0.78430 22.0% - 0s
0 0 0.78430 0 164 0.64263 0.78430 22.0% - 0s
0 0 0.78430 0 161 0.64263 0.78430 22.0% - 0s
0 2 0.78430 0 160 0.64263 0.78430 22.0% - 0s
739 532 0.74394 17 147 0.64263 0.75532 17.5% 14.4 5s
1012 660 0.67853 89 128 0.64263 0.75532 17.5% 27.1 10s
1968 931 cutoff 35 0.64263 0.75484 17.5% 30.9 15s
2985 1416 0.73094 32 146 0.64263 0.75135 16.9% 35.5 20s
3895 1925 0.73451 25 161 0.64263 0.74901 16.6% 38.1 25s
4958 2610 0.72965 28 162 0.64263 0.74411 15.8% 37.6 31s
5710 3037 0.70015 37 136 0.64263 0.74120 15.3% 37.8 35s
6824 3586 infeasible 23 0.64263 0.73837 14.9% 39.2 40s
7823 3989 0.71824 29 162 0.64263 0.73563 14.5% 40.1 45s
8982 4478 0.67075 50 136 0.64263 0.73363 14.2% 41.2 50s
10274 4923 cutoff 44 0.64263 0.73012 13.6% 42.1 55s
11687 5503 cutoff 43 0.64263 0.72747 13.2% 42.0 60s
12773 5959 infeasible 39 0.64263 0.72528 12.9% 42.3 66s
H12809 5977 0.6426307 0.72528 12.9% 42.3 66s
13157 6115 0.70425 31 162 0.64263 0.72470 12.8% 42.4 71s
13820 6305 cutoff 44 0.64263 0.72378 12.6% 42.8 75s
15029 6713 0.66212 36 136 0.64263 0.72220 12.4% 42.8 80s
16135 7064 cutoff 35 0.64263 0.72087 12.2% 43.1 85s
17543 7604 0.68454 31 156 0.64263 0.71933 11.9% 43.0 90s
18570 7869 0.70654 30 146 0.64263 0.71857 11.8% 43.2 96s
19904 8330 0.66140 34 152 0.64263 0.71682 11.5% 43.1 101s
20801 8672 0.69845 34 161 0.64263 0.71617 11.4% 43.2 123s
20810 8678 0.65680 36 224 0.64263 0.71617 11.4% 43.2 125s
20813 8680 0.65791 45 195 0.64263 0.71617 11.4% 43.2 131s
20819 8684 0.69155 35 199 0.64263 0.71405 11.1% 43.1 135s
20823 8687 0.65553 96 207 0.64263 0.71080 10.6% 43.1 141s
20827 8689 0.66644 34 222 0.64263 0.70974 10.4% 43.1 146s
20830 8691 0.66401 43 214 0.64263 0.70920 10.4% 43.1 151s
20835 8695 0.65354 49 245 0.64263 0.70665 10.0% 43.1 155s
20840 8698 0.66464 43 250 0.64263 0.70512 9.72% 43.1 161s
20844 8701 0.66421 41 271 0.64263 0.70472 9.66% 43.1 165s
20848 8703 0.67718 48 244 0.64263 0.70348 9.47% 43.1 170s
20851 8705 0.67292 41 261 0.64263 0.70317 9.42% 43.1 175s
20855 8708 0.68245 46 259 0.64263 0.70209 9.25% 43.1 180s
20859 8711 0.67173 36 272 0.64263 0.70188 9.22% 43.1 185s
20863 8713 0.69458 36 263 0.64263 0.70106 9.09% 43.1 191s
20865 8715 0.65953 51 277 0.64263 0.70099 9.08% 43.1 195s
20869 8717 0.70088 31 275 0.64263 0.70088 9.06% 43.0 201s
20873 8720 0.69979 33 267 0.64263 0.70082 9.06% 43.0 206s
20875 8721 0.65716 68 280 0.64263 0.70077 9.05% 43.0 210s
20879 8724 0.70069 30 278 0.64263 0.70069 9.03% 43.0 215s
20884 8727 0.67068 38 292 0.64263 0.70061 9.02% 43.0 220s
20887 8729 0.67820 39 287 0.64263 0.70054 9.01% 43.0 225s
20891 8732 0.65515 57 283 0.64263 0.70025 8.97% 43.0 231s
20893 8733 0.66364 39 291 0.64263 0.70017 8.95% 43.0 235s
20895 8735 0.65850 102 285 0.64263 0.70004 8.93% 43.0 240s
20899 8737 0.66015 42 280 0.64263 0.69966 8.87% 43.0 246s
20901 8739 0.69845 34 274 0.64263 0.69900 8.77% 43.0 250s
20904 8741 0.64451 40 283 0.64263 0.69869 8.72% 43.0 255s
20907 8743 0.69156 53 276 0.64263 0.69857 8.71% 43.0 261s
20910 8745 0.65680 36 282 0.64263 0.69833 8.67% 43.0 265s
20912 8746 0.66174 53 287 0.64263 0.69829 8.66% 43.0 270s
20918 8750 0.66284 44 273 0.64263 0.69722 8.50% 42.9 276s
20920 8751 0.67738 44 269 0.64263 0.69711 8.48% 42.9 281s
20922 8753 0.69702 35 287 0.64263 0.69702 8.46% 42.9 285s
20924 8754 0.69698 34 288 0.64263 0.69698 8.46% 42.9 290s
20926 8755 0.65615 35 281 0.64263 0.69686 8.44% 42.9 295s
20928 8757 0.69666 31 277 0.64263 0.69666 8.41% 42.9 300s
20930 8758 0.66401 43 269 0.64263 0.69652 8.39% 42.9 305s
20933 8760 0.66117 90 285 0.64263 0.69640 8.37% 42.9 310s
H20935 8320 0.6426307 0.69622 8.34% 42.9 315s
20939 8323 0.65366 48 284 0.64263 0.69616 8.33% 42.9 320s
20941 8324 0.66798 40 288 0.64263 0.69613 8.32% 42.9 325s
20945 8327 0.69598 38 288 0.64263 0.69598 8.30% 42.9 330s
20948 8329 0.67718 48 282 0.64263 0.69593 8.29% 42.9 335s
20953 8332 0.68735 34 291 0.64263 0.69591 8.29% 42.9 340s
20957 8335 0.65772 38 278 0.64263 0.69585 8.28% 42.9 345s
20960 8337 0.69575 32 275 0.64263 0.69575 8.27% 42.9 350s
20964 8340 0.67501 45 271 0.64263 0.69575 8.27% 42.9 355s
20966 8341 0.69575 35 279 0.64263 0.69575 8.27% 42.8 361s
20969 8346 0.69017 26 267 0.64263 0.69575 8.27% 45.3 372s
20971 8348 0.68649 27 269 0.64263 0.69544 8.22% 45.3 379s
20975 8350 0.68503 28 273 0.64263 0.69488 8.13% 45.3 383s
20983 8349 infeasible 29 0.64263 0.69344 7.91% 45.4 385s
21033 8364 0.67385 36 227 0.64263 0.68980 7.34% 45.6 391s
21121 8383 infeasible 33 0.64263 0.68891 7.20% 45.9 395s
21273 8389 0.65810 37 241 0.64263 0.68748 6.98% 46.8 400s
21447 8406 0.64550 53 203 0.64263 0.68266 6.23% 47.6 405s
21595 8422 0.66847 55 202 0.64263 0.68266 6.23% 48.1 410s
21804 8482 0.67267 46 249 0.64263 0.68234 6.18% 48.7 415s
22182 8646 0.67641 46 242 0.64263 0.68182 6.10% 49.2 420s
22397 8682 0.66829 52 245 0.64263 0.68073 5.93% 50.2 425s
22592 8737 0.64800 58 212 0.64263 0.68024 5.85% 51.0 430s
22826 8781 0.65829 48 226 0.64263 0.68022 5.85% 51.9 435s
23060 8826 0.65688 45 235 0.64263 0.67914 5.68% 52.9 440s
23357 8912 cutoff 56 0.64263 0.67898 5.66% 53.8 446s
23478 8918 0.64887 56 195 0.64263 0.67876 5.62% 54.2 450s
23670 8989 0.67782 50 224 0.64263 0.67862 5.60% 54.5 455s
23866 9057 0.65765 72 189 0.64263 0.67862 5.60% 55.5 460s
24149 9115 0.65886 62 199 0.64263 0.67827 5.55% 56.4 465s
24356 9158 0.67664 39 241 0.64263 0.67801 5.51% 57.4 471s
24623 9232 0.66060 61 225 0.64263 0.67780 5.47% 58.5 478s
24781 9263 0.67485 44 232 0.64263 0.67771 5.46% 59.2 481s
25044 9331 0.65146 68 195 0.64263 0.67750 5.43% 60.4 487s
25209 9371 0.66202 71 179 0.64263 0.67738 5.41% 60.9 492s
25376 9414 0.65511 59 219 0.64263 0.67734 5.40% 61.5 496s
25488 9435 0.66272 53 222 0.64263 0.67731 5.40% 61.9 501s
25619 9436 0.67093 51 201 0.64263 0.67722 5.38% 62.6 505s
25847 9461 0.66529 62 210 0.64263 0.67708 5.36% 64.6 513s
25955 9481 0.66653 53 254 0.64263 0.67708 5.36% 65.1 517s
26135 9497 0.64468 50 210 0.64263 0.67703 5.35% 65.9 523s
26176 9505 0.64414 51 206 0.64263 0.67695 5.34% 66.0 528s
26366 9537 0.67669 41 233 0.64263 0.67686 5.33% 66.9 533s
26502 9545 0.65946 56 230 0.64263 0.67672 5.31% 67.8 538s
26711 9594 cutoff 67 0.64263 0.67668 5.30% 68.6 543s
26903 9610 0.65072 57 242 0.64263 0.67664 5.29% 69.6 548s
27142 9647 0.65735 60 207 0.64263 0.67662 5.29% 70.4 553s
27341 9657 0.65833 52 197 0.64263 0.67649 5.27% 71.3 559s
27626 9715 0.65213 56 247 0.64263 0.67628 5.24% 72.1 565s
27883 9728 0.66619 60 237 0.64263 0.67617 5.22% 73.2 571s
28143 9784 0.66971 54 250 0.64263 0.67613 5.21% 74.0 577s
28258 9820 0.64308 103 136 0.64263 0.67612 5.21% 74.2 583s
28456 9805 0.66861 40 241 0.64263 0.67603 5.20% 75.6 590s
28690 9795 0.64647 68 216 0.64263 0.67589 5.17% 76.8 597s
28963 9823 0.67559 51 218 0.64263 0.67571 5.15% 78.0 600s
Cutting planes:
Gomory: 191
Cover: 10
Implied bound: 23
Projected implied bound: 70
MIR: 209
StrongCG: 6
Flow cover: 695
Inf proof: 33
Zero half: 3
Explored 29077 nodes (2282399 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.642631 0.642631 0.642631
Time limit reached
Best objective 6.426306620594e-01, best bound 6.757069088356e-01, gap 5.1470%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpi5bh4lro.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkvh8vq6n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.634603
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 7.953982e-01, 1386 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.79540 0 137 0.63460 0.79540 25.3% - 0s
0 0 0.77764 0 154 0.63460 0.77764 22.5% - 0s
0 0 0.77764 0 154 0.63460 0.77764 22.5% - 0s
0 0 0.77470 0 173 0.63460 0.77470 22.1% - 0s
0 0 0.77470 0 173 0.63460 0.77470 22.1% - 0s
0 0 0.77470 0 175 0.63460 0.77470 22.1% - 0s
0 0 0.77470 0 176 0.63460 0.77470 22.1% - 0s
0 0 0.77470 0 174 0.63460 0.77470 22.1% - 0s
0 0 0.77470 0 160 0.63460 0.77470 22.1% - 0s
0 2 0.77470 0 160 0.63460 0.77470 22.1% - 0s
751 549 0.73880 13 162 0.63460 0.73880 16.4% 18.8 5s
1724 725 infeasible 39 0.63460 0.72945 14.9% 26.2 10s
2922 1174 0.64550 56 135 0.63460 0.72274 13.9% 26.6 15s
3914 1689 0.70547 32 138 0.63460 0.71983 13.4% 29.1 20s
4718 2080 0.67450 36 139 0.63460 0.71802 13.1% 29.7 25s
5699 2471 0.69224 30 141 0.63460 0.71594 12.8% 31.4 30s
6804 2882 0.69659 38 145 0.63460 0.71318 12.4% 33.6 35s
8157 3404 0.68466 37 135 0.63460 0.71094 12.0% 34.8 41s
8984 3683 0.69018 33 134 0.63460 0.70951 11.8% 35.7 46s
9801 3955 0.64372 51 140 0.63460 0.70812 11.6% 36.5 50s
10880 4315 cutoff 43 0.63460 0.70686 11.4% 37.3 55s
11928 4677 0.64181 57 136 0.63460 0.70581 11.2% 37.8 60s
12909 5003 cutoff 37 0.63460 0.70453 11.0% 38.5 65s
H12919 5003 0.6346025 0.70453 11.0% 38.5 65s
12981 5016 0.66757 45 143 0.63460 0.70449 11.0% 38.5 70s
14253 5276 0.66774 35 140 0.63460 0.70300 10.8% 39.7 75s
15199 5463 cutoff 34 0.63460 0.70206 10.6% 40.6 80s
16123 5584 0.64515 35 129 0.63460 0.70004 10.3% 41.9 86s
17179 5796 0.68401 35 165 0.63460 0.69877 10.1% 42.3 91s
18206 6012 0.66435 42 141 0.63460 0.69759 9.92% 43.0 96s
19229 6149 0.65627 38 134 0.63460 0.69647 9.75% 43.5 101s
20001 6269 0.64380 34 167 0.63460 0.69585 9.65% 43.8 105s
20808 6365 0.67303 33 153 0.63460 0.69521 9.55% 44.1 127s
21416 6444 0.64679 40 168 0.63460 0.69434 9.41% 44.9 131s
22221 6493 0.66479 48 145 0.63460 0.69338 9.26% 46.0 136s
22839 6625 0.66144 33 159 0.63460 0.69291 9.19% 46.5 140s
23453 6678 infeasible 41 0.63460 0.69231 9.09% 47.2 145s
24293 6745 0.65244 53 168 0.63460 0.69133 8.94% 48.4 150s
25208 6844 0.67566 50 163 0.63460 0.69041 8.79% 49.3 156s
25829 6912 cutoff 50 0.63460 0.68987 8.71% 50.0 160s
26487 6984 cutoff 35 0.63460 0.68905 8.58% 50.6 165s
27483 7063 0.63925 37 164 0.63460 0.68808 8.43% 51.5 171s
28168 7131 infeasible 40 0.63460 0.68736 8.31% 52.0 175s
29154 7216 0.67255 41 150 0.63460 0.68634 8.15% 52.9 181s
29758 7237 0.65337 38 135 0.63460 0.68567 8.05% 53.5 186s
30381 7242 0.67201 35 164 0.63460 0.68502 7.94% 54.1 191s
31091 7323 0.64827 36 166 0.63460 0.68436 7.84% 54.5 195s
31776 7449 0.64694 48 152 0.63460 0.68377 7.75% 54.7 200s
32833 7519 infeasible 32 0.63460 0.68280 7.59% 55.3 206s
33511 7558 infeasible 39 0.63460 0.68212 7.49% 55.8 211s
34204 7608 cutoff 46 0.63460 0.68153 7.40% 56.1 215s
34939 7664 0.64120 40 161 0.63460 0.68104 7.32% 56.4 220s
35671 7730 cutoff 46 0.63460 0.68041 7.22% 56.6 225s
36410 7812 0.64846 41 153 0.63460 0.67984 7.13% 56.8 230s
37547 7966 0.63992 92 111 0.63460 0.67901 7.00% 57.1 236s
38335 8060 0.64993 39 149 0.63460 0.67835 6.89% 57.2 241s
39179 8147 infeasible 36 0.63460 0.67779 6.81% 57.3 246s
39943 8226 cutoff 36 0.63460 0.67707 6.69% 57.5 251s
40631 8288 cutoff 47 0.63460 0.67661 6.62% 57.7 256s
41488 8483 cutoff 49 0.63460 0.67615 6.55% 57.6 261s
42207 8522 0.64812 39 144 0.63460 0.67566 6.47% 57.9 266s
43030 8592 0.63926 54 126 0.63460 0.67508 6.38% 58.0 271s
43747 8666 0.66814 35 166 0.63460 0.67470 6.32% 58.2 276s
44153 8721 cutoff 44 0.63460 0.67440 6.27% 58.3 283s
44160 8665 0.64688 44 164 0.63460 0.67439 6.27% 58.3 285s
44889 8725 0.67128 37 155 0.63460 0.67396 6.20% 58.5 290s
45715 8823 0.64146 40 152 0.63460 0.67342 6.12% 58.6 296s
46475 8919 0.65309 42 162 0.63460 0.67297 6.05% 58.8 300s
47349 9044 cutoff 45 0.63460 0.67242 5.96% 58.8 305s
48178 9118 cutoff 62 0.63460 0.67196 5.89% 58.9 310s
48970 9193 0.65919 33 156 0.63460 0.67157 5.83% 59.0 315s
49960 9469 cutoff 35 0.63460 0.67125 5.77% 58.7 320s
50759 9567 infeasible 83 0.63460 0.67081 5.70% 58.8 325s
51619 9678 0.65762 34 170 0.63460 0.67033 5.63% 58.8 330s
52563 9914 0.64565 38 148 0.63460 0.67000 5.58% 58.6 335s
53330 9993 cutoff 34 0.63460 0.66950 5.50% 58.7 340s
54182 10114 cutoff 35 0.63460 0.66914 5.44% 58.7 345s
55519 10333 cutoff 52 0.63460 0.66862 5.36% 58.6 351s
56194 10461 0.64911 56 134 0.63460 0.66823 5.30% 58.5 356s
57064 10560 0.65303 37 139 0.63460 0.66794 5.25% 58.5 361s
57972 10707 0.65772 50 140 0.63460 0.66754 5.19% 58.4 366s
58781 10781 cutoff 52 0.63460 0.66714 5.13% 58.5 371s
59686 10905 cutoff 42 0.63460 0.66668 5.06% 58.4 376s
60621 11140 infeasible 52 0.63460 0.66641 5.01% 58.2 381s
61542 11329 0.65374 35 166 0.63460 0.66618 4.98% 58.1 386s
62403 11468 0.64356 44 124 0.63460 0.66584 4.92% 58.0 391s
63273 11628 0.65698 59 144 0.63460 0.66549 4.87% 57.9 396s
64151 11798 0.65190 51 122 0.63460 0.66531 4.84% 57.8 401s
65024 11949 0.64544 40 152 0.63460 0.66513 4.81% 57.7 406s
65882 12149 0.64606 61 147 0.63460 0.66485 4.77% 57.6 411s
66826 12351 0.65529 35 162 0.63460 0.66460 4.73% 57.4 415s
67702 12449 0.66196 54 143 0.63460 0.66432 4.68% 57.4 420s
68576 12574 0.64685 47 158 0.63460 0.66414 4.65% 57.3 425s
69396 12692 cutoff 36 0.63460 0.66387 4.61% 57.3 430s
70262 12785 cutoff 50 0.63460 0.66364 4.58% 57.3 435s
71550 12943 0.64168 62 124 0.63460 0.66323 4.51% 57.2 441s
72426 13026 0.63945 53 127 0.63460 0.66305 4.48% 57.2 446s
73246 13137 0.64449 58 131 0.63460 0.66287 4.45% 57.1 451s
73697 13292 0.65340 37 163 0.63460 0.66273 4.43% 57.1 455s
74103 13290 cutoff 45 0.63460 0.66259 4.41% 57.1 460s
74997 13409 cutoff 47 0.63460 0.66238 4.38% 57.0 465s
75905 13562 0.64788 49 139 0.63460 0.66218 4.35% 56.9 470s
76758 13673 cutoff 38 0.63460 0.66190 4.30% 56.8 475s
77698 13830 0.64144 53 114 0.63460 0.66172 4.27% 56.7 480s
79030 13983 0.64291 40 153 0.63460 0.66137 4.22% 56.6 486s
79860 14050 cutoff 55 0.63460 0.66116 4.19% 56.5 490s
80723 14117 0.63947 38 150 0.63460 0.66094 4.15% 56.5 495s
81566 14195 cutoff 62 0.63460 0.66074 4.12% 56.4 500s
82875 14386 0.64693 64 117 0.63460 0.66044 4.07% 56.3 506s
83824 14560 cutoff 64 0.63460 0.66026 4.04% 56.2 511s
84734 14672 cutoff 42 0.63460 0.66010 4.02% 56.1 516s
85719 14785 cutoff 44 0.63460 0.65988 3.98% 56.0 520s
86601 14878 0.64474 52 143 0.63460 0.65969 3.95% 55.9 525s
87545 15019 0.63621 71 122 0.63460 0.65949 3.92% 55.8 530s
88922 15139 cutoff 55 0.63460 0.65921 3.88% 55.6 536s
89767 15257 0.64293 55 133 0.63460 0.65905 3.85% 55.6 540s
90752 15443 0.64973 59 139 0.63460 0.65888 3.83% 55.4 545s
92094 15585 0.64242 57 124 0.63460 0.65864 3.79% 55.3 551s
93076 15701 0.64502 63 137 0.63460 0.65844 3.76% 55.1 555s
93871 15760 cutoff 37 0.63460 0.65831 3.74% 55.1 560s
95126 15871 cutoff 60 0.63460 0.65802 3.69% 55.1 566s
95981 15928 0.64664 38 158 0.63460 0.65784 3.66% 55.0 570s
96773 15966 0.64069 61 141 0.63460 0.65762 3.63% 55.0 575s
97625 16055 0.64580 54 156 0.63460 0.65745 3.60% 55.0 580s
98519 16110 0.63856 50 128 0.63460 0.65729 3.58% 54.9 586s
99383 16190 cutoff 58 0.63460 0.65711 3.55% 54.9 590s
100176 16266 cutoff 63 0.63460 0.65695 3.52% 54.8 595s
101535 16394 0.63780 52 135 0.63460 0.65669 3.48% 54.8 600s
Cutting planes:
Gomory: 170
Cover: 3
Implied bound: 73
Projected implied bound: 48
MIR: 44
Flow cover: 166
Inf proof: 303
Explored 101699 nodes (5569715 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.634603 0.634603
Time limit reached
Best objective 6.346025157031e-01, best bound 6.566581289984e-01, gap 3.4755%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphg7l6ce5.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwrl8c9z3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.62739
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 7.861582e-01, 1390 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.78616 0 140 0.62739 0.78616 25.3% - 0s
0 0 0.76913 0 151 0.62739 0.76913 22.6% - 0s
0 0 0.76912 0 148 0.62739 0.76912 22.6% - 0s
0 0 0.76681 0 155 0.62739 0.76681 22.2% - 0s
0 0 0.76646 0 158 0.62739 0.76646 22.2% - 0s
0 0 0.76633 0 161 0.62739 0.76633 22.1% - 0s
0 0 0.76632 0 162 0.62739 0.76632 22.1% - 0s
0 0 0.76632 0 162 0.62739 0.76632 22.1% - 0s
0 0 0.76632 0 156 0.62739 0.76632 22.1% - 0s
0 2 0.76632 0 156 0.62739 0.76632 22.1% - 0s
736 585 0.69766 29 152 0.62739 0.73620 17.3% 17.4 5s
1280 668 cutoff 47 0.62739 0.72907 16.2% 30.6 10s
H 1668 622 0.6273905 0.72050 14.8% 34.7 13s
1928 588 cutoff 31 0.62739 0.71712 14.3% 36.6 15s
3173 1015 0.70351 27 127 0.62739 0.70968 13.1% 36.1 20s
4137 1388 cutoff 30 0.62739 0.70665 12.6% 36.5 25s
5163 1677 infeasible 31 0.62739 0.70400 12.2% 38.1 30s
H 5871 1966 0.6273905 0.70267 12.0% 37.0 31s
6626 2317 0.66100 32 147 0.62739 0.70116 11.8% 36.1 35s
8020 2786 0.68869 32 121 0.62739 0.69825 11.3% 35.3 40s
9687 3270 0.64868 34 147 0.62739 0.69525 10.8% 34.6 45s
10956 3657 cutoff 34 0.62739 0.69311 10.5% 34.1 50s
11782 3814 0.66983 35 148 0.62739 0.69192 10.3% 34.0 55s
13349 4128 0.62837 32 148 0.62739 0.68999 10.0% 34.2 60s
14770 4424 0.63763 38 137 0.62739 0.68846 9.73% 34.5 65s
16492 4879 0.66106 40 139 0.62739 0.68670 9.45% 34.1 70s
18050 5301 0.63335 36 159 0.62739 0.68564 9.29% 33.7 75s
H18821 5518 0.6273905 0.68490 9.17% 33.7 78s
19195 5549 0.63928 49 137 0.62739 0.68463 9.12% 33.7 81s
20491 5956 0.66037 33 147 0.62739 0.68368 8.97% 33.5 85s
20819 6060 0.65874 38 149 0.62739 0.68348 8.94% 33.4 107s
21852 6336 0.65416 36 171 0.62739 0.68262 8.80% 33.5 110s
22936 6557 cutoff 41 0.62739 0.68192 8.69% 34.0 116s
23604 6764 0.64580 37 166 0.62739 0.68147 8.62% 34.2 121s
24079 6795 0.64210 39 169 0.62739 0.68110 8.56% 34.6 125s
25259 7097 cutoff 42 0.62739 0.68006 8.40% 35.0 130s
25999 7218 cutoff 36 0.62739 0.67949 8.30% 35.4 135s
27080 7324 cutoff 39 0.62739 0.67866 8.17% 36.2 140s
27969 7456 0.65782 43 159 0.62739 0.67806 8.08% 36.6 145s
28840 7554 0.65336 31 173 0.62739 0.67738 7.97% 37.1 150s
30039 7819 0.63081 42 148 0.62739 0.67647 7.82% 37.3 155s
31010 7960 0.64156 36 173 0.62739 0.67561 7.68% 37.8 160s
31909 8092 0.63060 63 128 0.62739 0.67485 7.56% 38.2 165s
32903 8257 0.63677 41 158 0.62739 0.67410 7.44% 38.5 170s
33973 8446 0.63866 52 152 0.62739 0.67341 7.34% 38.8 175s
34939 8613 cutoff 41 0.62739 0.67260 7.21% 39.2 180s
35992 8852 0.64329 51 153 0.62739 0.67185 7.09% 39.4 185s
37249 9134 cutoff 40 0.62739 0.67114 6.97% 39.5 190s
38370 9358 0.63547 35 160 0.62739 0.67032 6.84% 39.7 195s
39451 9637 0.65379 56 122 0.62739 0.66982 6.76% 39.9 201s
40085 9756 0.64998 39 170 0.62739 0.66942 6.70% 40.1 205s
41065 9902 0.65023 36 172 0.62739 0.66892 6.62% 40.4 210s
42255 10157 0.64183 43 146 0.62739 0.66834 6.53% 40.6 216s
42948 10273 cutoff 52 0.62739 0.66805 6.48% 40.8 220s
43909 10385 cutoff 68 0.62739 0.66749 6.39% 41.2 226s
44619 10449 0.66282 38 159 0.62739 0.66699 6.31% 41.4 230s
45622 10590 0.65041 49 151 0.62739 0.66645 6.23% 41.6 236s
46299 10686 0.62911 65 116 0.62739 0.66613 6.18% 41.8 240s
47352 10827 cutoff 47 0.62739 0.66552 6.08% 42.1 246s
48096 10935 0.63130 46 159 0.62739 0.66514 6.02% 42.2 250s
49283 11113 0.65216 41 159 0.62739 0.66456 5.93% 42.4 256s
50121 11243 cutoff 46 0.62739 0.66415 5.86% 42.5 260s
50945 11433 cutoff 42 0.62739 0.66380 5.80% 42.6 265s
52121 11613 0.63312 35 168 0.62739 0.66333 5.73% 42.8 271s
52859 11678 0.62766 44 141 0.62739 0.66299 5.67% 42.9 275s
54013 11894 cutoff 41 0.62739 0.66253 5.60% 43.1 281s
55068 12120 0.62895 47 146 0.62739 0.66218 5.54% 43.0 285s
56412 12420 cutoff 37 0.62739 0.66171 5.47% 43.0 291s
57179 12562 cutoff 48 0.62739 0.66147 5.43% 43.1 295s
58331 12760 infeasible 39 0.62739 0.66096 5.35% 43.2 302s
58746 12859 0.64708 43 148 0.62739 0.66081 5.33% 43.2 306s
59478 12980 0.63873 43 149 0.62739 0.66048 5.27% 43.3 310s
60248 13102 0.64908 47 147 0.62739 0.66016 5.22% 43.4 315s
61493 13339 cutoff 36 0.62739 0.65982 5.17% 43.5 321s
62313 13474 0.65493 38 160 0.62739 0.65960 5.13% 43.5 325s
63140 13621 0.63400 35 164 0.62739 0.65937 5.10% 43.5 330s
64430 13871 0.64806 40 153 0.62739 0.65898 5.04% 43.6 336s
65372 14116 0.64375 60 119 0.62739 0.65877 5.00% 43.5 340s
66740 14488 0.63255 27 215 0.62739 0.65837 4.94% 43.6 346s
67733 14694 infeasible 67 0.62739 0.65813 4.90% 43.5 350s
68568 14870 0.63324 50 154 0.62739 0.65794 4.87% 43.5 355s
69712 15004 cutoff 45 0.62739 0.65755 4.81% 43.7 360s
70861 15332 0.65284 48 176 0.62739 0.65727 4.76% 43.6 366s
71567 15455 0.63233 38 180 0.62739 0.65704 4.73% 43.7 370s
72969 15775 cutoff 49 0.62739 0.65673 4.68% 43.6 376s
74048 16029 0.63060 42 153 0.62739 0.65655 4.65% 43.6 380s
75164 16309 0.62916 46 155 0.62739 0.65628 4.60% 43.6 386s
76047 16474 0.64375 42 171 0.62739 0.65609 4.57% 43.6 390s
77277 16752 0.65061 33 185 0.62739 0.65574 4.52% 43.7 396s
78127 16900 0.63077 41 157 0.62739 0.65557 4.49% 43.7 400s
78700 17113 cutoff 41 0.62739 0.65548 4.48% 43.6 405s
79911 17362 cutoff 51 0.62739 0.65524 4.44% 43.6 411s
80668 17479 0.64718 40 181 0.62739 0.65509 4.41% 43.6 415s
81805 17650 0.64249 50 146 0.62739 0.65487 4.38% 43.7 421s
82754 17877 0.63949 37 162 0.62739 0.65470 4.35% 43.7 425s
83996 18131 cutoff 39 0.62739 0.65440 4.31% 43.7 431s
84828 18357 0.63414 76 128 0.62739 0.65425 4.28% 43.6 435s
86391 18769 0.64103 35 182 0.62739 0.65404 4.25% 43.5 441s
87294 18989 0.64933 50 175 0.62739 0.65388 4.22% 43.5 445s
88590 19220 0.64140 56 146 0.62739 0.65365 4.19% 43.5 451s
89498 19458 cutoff 43 0.62739 0.65351 4.16% 43.5 455s
90892 19847 0.63590 53 138 0.62739 0.65332 4.13% 43.4 460s
92209 20176 0.64139 65 137 0.62739 0.65314 4.10% 43.4 466s
93065 20400 0.63262 47 167 0.62739 0.65304 4.09% 43.4 470s
94187 20717 0.65135 73 141 0.62739 0.65290 4.07% 43.2 475s
95605 21030 0.64576 51 155 0.62739 0.65276 4.04% 43.2 481s
96391 21223 infeasible 67 0.62739 0.65267 4.03% 43.2 485s
97412 21510 cutoff 45 0.62739 0.65256 4.01% 43.1 490s
98569 21770 0.63525 44 165 0.62739 0.65235 3.98% 43.1 495s
99813 22046 0.64285 57 144 0.62739 0.65221 3.96% 43.1 501s
100248 22143 0.63051 53 131 0.62739 0.65216 3.95% 43.1 506s
101340 22402 0.64604 50 165 0.62739 0.65200 3.92% 43.1 511s
102194 22519 0.64557 46 174 0.62739 0.65188 3.90% 43.1 515s
103651 22849 cutoff 51 0.62739 0.65171 3.88% 43.0 521s
104409 22977 cutoff 54 0.62739 0.65161 3.86% 43.1 525s
105588 23169 0.64475 53 155 0.62739 0.65143 3.83% 43.1 530s
106953 23460 0.62946 61 113 0.62739 0.65128 3.81% 43.1 536s
107762 23591 0.63222 37 170 0.62739 0.65116 3.79% 43.1 540s
108504 23698 0.64277 46 171 0.62739 0.65106 3.77% 43.1 545s
109967 24049 0.64978 53 144 0.62739 0.65090 3.75% 43.1 550s
111014 24359 0.63162 36 164 0.62739 0.65080 3.73% 43.0 555s
112302 24600 0.63376 49 152 0.62739 0.65069 3.71% 43.0 561s
113161 24782 cutoff 46 0.62739 0.65060 3.70% 43.0 565s
114219 24966 0.63123 52 145 0.62739 0.65051 3.69% 43.0 570s
115369 25144 0.63519 61 137 0.62739 0.65039 3.67% 43.0 576s
116392 25416 0.63492 61 136 0.62739 0.65031 3.65% 42.9 580s
117577 25662 0.64000 40 184 0.62739 0.65022 3.64% 42.9 586s
118477 25847 0.63315 58 133 0.62739 0.65013 3.62% 42.9 590s
119636 26073 0.63063 76 127 0.62739 0.65000 3.60% 43.0 597s
120112 26169 0.63280 55 149 0.62739 0.64997 3.60% 42.9 600s
Cutting planes:
Gomory: 151
Cover: 5
Implied bound: 72
Projected implied bound: 43
MIR: 31
StrongCG: 1
Flow cover: 178
Inf proof: 350
Explored 120255 nodes (5166882 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.62739 0.62739 0.62739 0.62739
Time limit reached
Best objective 6.273904999464e-01, best bound 6.499619134277e-01, gap 3.5977%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 4
Seed for training 429
Seed for simulation 196
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 9.18279319, 28.73322284, 27.96461321]])
fopt: 0.6322844141714523
fun: -0.6321708969450863
message: 'Optimization terminated successfully.'
nfev: 513
nit: 7
status: 0
success: True
x: array([ 82.00000973, 148. , 145.07652546])
xopt: array([ 82., 148., 145.])
zopt: array([ 82., 230., 375.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptrq17z48.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfgzr_c16.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.632284
Presolve removed 899 rows and 580 columns
Presolve time: 0.03s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.242818e-01, 1357 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.82428 0 133 0.63228 0.82428 30.4% - 0s
0 0 0.80310 0 177 0.63228 0.80310 27.0% - 0s
0 0 0.79898 0 175 0.63228 0.79898 26.4% - 0s
0 0 0.79624 0 194 0.63228 0.79624 25.9% - 0s
0 0 0.79624 0 197 0.63228 0.79624 25.9% - 0s
0 0 0.79519 0 182 0.63228 0.79519 25.8% - 0s
0 0 0.79513 0 197 0.63228 0.79513 25.8% - 0s
0 0 0.79452 0 188 0.63228 0.79452 25.7% - 0s
0 0 0.79452 0 188 0.63228 0.79452 25.7% - 0s
0 0 0.79441 0 189 0.63228 0.79441 25.6% - 0s
0 0 0.79440 0 189 0.63228 0.79440 25.6% - 0s
0 0 0.79429 0 191 0.63228 0.79429 25.6% - 0s
0 0 0.79429 0 168 0.63228 0.79429 25.6% - 0s
0 2 0.79429 0 163 0.63228 0.79429 25.6% - 0s
773 589 0.67677 50 154 0.63228 0.74396 17.7% 22.8 5s
1030 603 0.73776 22 164 0.63228 0.74396 17.7% 35.1 10s
2514 961 cutoff 32 0.63228 0.73216 15.8% 31.2 15s
* 2703 1011 230 0.6400189 0.73172 14.3% 30.3 15s
3690 1440 cutoff 46 0.64002 0.72575 13.4% 30.5 20s
4971 1947 cutoff 36 0.64002 0.72038 12.6% 30.4 25s
6157 2379 0.70847 40 152 0.64002 0.71610 11.9% 30.9 30s
7283 2758 0.64533 50 134 0.64002 0.71379 11.5% 31.8 35s
8467 3077 0.70341 30 157 0.64002 0.71187 11.2% 32.0 40s
10046 3550 cutoff 48 0.64002 0.70905 10.8% 31.8 45s
11047 3786 0.65174 47 145 0.64002 0.70707 10.5% 32.2 50s
12986 4575 0.64555 46 138 0.64002 0.70486 10.1% 31.1 55s
14721 5039 0.68034 35 144 0.64002 0.70299 9.84% 31.0 60s
15923 5495 infeasible 60 0.64002 0.70166 9.63% 30.8 65s
H15984 5511 0.6400189 0.70154 9.61% 30.9 65s
H16005 4141 0.6531144 0.70154 7.41% 30.9 68s
16008 4128 cutoff 56 0.65311 0.70152 7.41% 30.9 70s
17473 4487 0.66871 50 132 0.65311 0.69987 7.16% 30.7 76s
18404 4689 cutoff 42 0.65311 0.69832 6.92% 31.1 80s
19626 4926 0.67138 68 123 0.65311 0.69710 6.74% 31.1 85s
20978 5256 0.68636 47 129 0.65311 0.69583 6.54% 31.0 107s
21545 5375 cutoff 38 0.65311 0.69519 6.44% 31.2 110s
22863 5689 cutoff 42 0.65311 0.69408 6.27% 31.8 116s
23770 5914 cutoff 66 0.65311 0.69333 6.16% 32.3 121s
24783 6187 0.66529 52 148 0.65311 0.69263 6.05% 32.6 125s
25733 6414 0.67623 84 120 0.65311 0.69197 5.95% 33.0 130s
27002 6851 cutoff 46 0.65311 0.69128 5.84% 33.1 135s
28213 7141 0.66675 51 136 0.65311 0.69034 5.70% 33.5 140s
29610 7563 infeasible 37 0.65311 0.68978 5.61% 33.5 145s
30567 7730 0.67879 47 145 0.65311 0.68929 5.54% 33.9 150s
31663 7901 0.67641 57 159 0.65311 0.68862 5.44% 34.4 156s
32752 8118 0.66724 52 152 0.65311 0.68803 5.35% 34.7 160s
33518 8212 0.67162 52 159 0.65311 0.68761 5.28% 35.1 165s
34820 8610 0.66147 51 148 0.65311 0.68702 5.19% 35.2 170s
36127 8943 0.67342 71 151 0.65311 0.68664 5.13% 35.2 175s
37038 9079 0.66490 80 135 0.65311 0.68628 5.08% 35.5 180s
*37201 9031 212 0.6533512 0.68628 5.04% 35.4 180s
37676 9347 cutoff 52 0.65335 0.68615 5.02% 35.4 185s
38505 9507 cutoff 46 0.65335 0.68585 4.97% 35.7 190s
39727 9894 0.67071 45 163 0.65335 0.68541 4.91% 35.7 195s
40801 10134 0.67289 50 135 0.65335 0.68508 4.86% 35.9 200s
41891 10378 infeasible 58 0.65335 0.68477 4.81% 36.0 205s
43028 10666 0.67253 48 177 0.65335 0.68440 4.75% 36.2 210s
44114 10962 0.66375 68 142 0.65335 0.68416 4.72% 36.2 215s
45424 11274 cutoff 49 0.65335 0.68382 4.66% 36.2 220s
46371 11444 0.65717 106 100 0.65335 0.68348 4.61% 36.5 225s
47504 11647 cutoff 54 0.65335 0.68319 4.57% 36.5 230s
48896 12013 cutoff 45 0.65335 0.68284 4.51% 36.6 235s
49800 12112 cutoff 42 0.65335 0.68254 4.47% 36.8 241s
*50061 12139 196 0.6534288 0.68252 4.45% 36.8 241s
H50367 12173 0.6537247 0.68245 4.39% 36.8 243s
50510 12173 0.67201 52 161 0.65372 0.68233 4.38% 36.9 245s
51465 12258 0.67425 45 169 0.65372 0.68202 4.33% 37.1 251s
52054 12313 cutoff 49 0.65372 0.68178 4.29% 37.3 255s
53050 12426 0.65661 118 120 0.65372 0.68144 4.24% 37.6 261s
53795 12531 0.66538 52 155 0.65372 0.68124 4.21% 37.7 265s
55042 12793 infeasible 46 0.65372 0.68091 4.16% 37.9 271s
55796 12926 0.66859 48 155 0.65372 0.68071 4.13% 38.0 276s
H55798 12565 0.6547504 0.68071 3.97% 38.0 276s
56194 12628 0.66088 84 138 0.65475 0.68064 3.95% 38.0 280s
56977 12840 0.65871 103 103 0.65475 0.68046 3.93% 38.0 285s
58509 13159 0.67589 35 195 0.65475 0.68019 3.89% 38.0 290s
59975 13479 0.67841 66 144 0.65475 0.67986 3.83% 37.9 296s
60969 13770 cutoff 57 0.65475 0.67970 3.81% 37.9 300s
62146 13959 0.66628 50 147 0.65475 0.67943 3.77% 38.1 305s
63421 14187 0.66375 57 143 0.65475 0.67915 3.73% 38.2 311s
64476 14353 0.66644 83 148 0.65475 0.67888 3.69% 38.3 316s
65473 14597 cutoff 82 0.65475 0.67866 3.65% 38.3 320s
66712 14812 0.67763 81 140 0.65475 0.67836 3.61% 38.3 326s
67521 14967 0.65791 48 154 0.65475 0.67824 3.59% 38.3 330s
69091 15373 0.66959 50 149 0.65475 0.67800 3.55% 38.3 336s
H69128 15355 0.6548050 0.67800 3.54% 38.3 336s
69963 15526 0.67121 50 139 0.65481 0.67785 3.52% 38.3 341s
71490 15887 0.66577 93 118 0.65481 0.67750 3.47% 38.2 346s
72202 15960 0.67375 45 173 0.65481 0.67742 3.45% 38.3 350s
73537 16269 cutoff 46 0.65481 0.67717 3.42% 38.3 355s
75112 16666 0.66755 40 195 0.65481 0.67698 3.39% 38.1 361s
76074 17007 0.66101 90 127 0.65481 0.67681 3.36% 38.0 365s
78009 17735 cutoff 64 0.65481 0.67669 3.34% 37.6 370s
79642 18278 infeasible 103 0.65481 0.67646 3.31% 37.5 375s
80991 18684 infeasible 109 0.65481 0.67629 3.28% 37.4 380s
82483 19163 cutoff 61 0.65481 0.67615 3.26% 37.2 385s
84256 19822 cutoff 49 0.65481 0.67599 3.23% 36.9 390s
*85345 17772 205 0.6575181 0.67590 2.80% 36.7 391s
86513 18198 0.67582 82 113 0.65752 0.67582 2.78% 36.6 398s
H86547 18206 0.6575181 0.67580 2.78% 36.6 398s
86552 18177 0.66631 97 91 0.65752 0.67577 2.78% 36.6 400s
87997 18535 0.66729 78 143 0.65752 0.67559 2.75% 36.5 406s
89123 18719 cutoff 47 0.65752 0.67545 2.73% 36.5 411s
90476 19092 0.66926 103 92 0.65752 0.67531 2.71% 36.4 416s
91708 19357 cutoff 76 0.65752 0.67513 2.68% 36.3 420s
93435 20034 cutoff 88 0.65752 0.67497 2.65% 36.1 425s
95457 20832 0.66341 92 127 0.65752 0.67481 2.63% 35.8 430s
97008 21427 cutoff 59 0.65752 0.67468 2.61% 35.6 435s
98448 21747 0.66131 56 139 0.65752 0.67452 2.59% 35.6 440s
99687 22111 0.67105 52 171 0.65752 0.67439 2.57% 35.5 445s
101081 22314 0.66160 50 169 0.65752 0.67422 2.54% 35.6 450s
102999 22884 0.66385 57 184 0.65752 0.67404 2.51% 35.3 456s
104325 23101 cutoff 87 0.65752 0.67389 2.49% 35.3 460s
105531 23274 0.66769 91 96 0.65752 0.67380 2.48% 35.3 465s
107720 24026 0.65863 52 170 0.65752 0.67367 2.46% 35.1 470s
108778 24256 cutoff 99 0.65752 0.67357 2.44% 35.1 475s
110639 24841 0.66073 74 178 0.65752 0.67343 2.42% 35.0 480s
111785 25071 infeasible 54 0.65752 0.67332 2.40% 35.0 485s
113383 25623 0.66220 63 158 0.65752 0.67322 2.39% 34.8 490s
115497 26360 cutoff 49 0.65752 0.67309 2.37% 34.6 496s
116795 26743 0.66288 61 134 0.65752 0.67299 2.35% 34.6 500s
117986 27057 0.66927 55 165 0.65752 0.67291 2.34% 34.5 505s
119849 27742 infeasible 97 0.65752 0.67282 2.33% 34.3 510s
121950 28434 infeasible 104 0.65752 0.67271 2.31% 34.2 515s
123374 28861 0.66829 55 165 0.65752 0.67264 2.30% 34.1 520s
124955 29368 0.66671 54 155 0.65752 0.67255 2.29% 33.9 525s
127395 30507 0.65846 53 166 0.65752 0.67247 2.27% 33.7 530s
129725 31522 0.66530 114 99 0.65752 0.67236 2.26% 33.5 535s
131256 32087 cutoff 92 0.65752 0.67231 2.25% 33.3 540s
132839 32574 0.66141 80 155 0.65752 0.67225 2.24% 33.2 545s
134775 33414 0.66559 57 146 0.65752 0.67216 2.23% 33.1 550s
136794 34096 cutoff 46 0.65752 0.67208 2.21% 32.9 555s
138674 34738 0.66300 55 160 0.65752 0.67197 2.20% 32.8 560s
140631 35591 0.66659 100 107 0.65752 0.67191 2.19% 32.6 565s
142981 36520 infeasible 122 0.65752 0.67184 2.18% 32.3 570s
144991 37234 infeasible 149 0.65752 0.67176 2.17% 32.2 575s
147263 38259 0.66326 56 142 0.65752 0.67170 2.16% 32.0 580s
148715 38748 0.66077 105 95 0.65752 0.67165 2.15% 31.9 585s
151421 39994 cutoff 136 0.65752 0.67159 2.14% 31.6 590s
153529 40808 0.66433 95 107 0.65752 0.67153 2.13% 31.4 595s
156175 42002 0.66812 107 94 0.65752 0.67148 2.12% 31.1 600s
Cutting planes:
Gomory: 207
Cover: 3
Implied bound: 80
Projected implied bound: 74
Clique: 2
MIR: 35
Flow cover: 185
Inf proof: 418
Zero half: 1
Explored 156476 nodes (4871075 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.657518 0.657518 0.654805 ... 0.640019
Time limit reached
Best objective 6.575180792208e-01, best bound 6.714801451096e-01, gap 2.1234%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv6tkyks7.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp999uq6rb.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.00s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8837292e+01 4.933750e+02 0.000000e+00 0s
207 1.1927000e+01 0.000000e+00 0.000000e+00 0s
Solved in 207 iterations and 0.01 seconds
Optimal objective 1.192700025e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.18621879e-07, -1.07182427e-08, -4.82244830e-07]])
fopt: 3.076547788470454
fun: -3.085215872125686
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 23.1345761 , -1. , -87.99580146])
xopt: array([23., 0., 0.])
zopt: array([23., 23., 23.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.10149058, 3.09595649, 3.09595649]])
fopt: 1.5120905126103037
fun: -1.5181531084807045
message: 'Optimization terminated successfully.'
nfev: 273
nit: 5
status: 0
success: True
x: array([ 32.61198914, -83.99949683, -83.99398877])
xopt: array([33., 0., 0.])
zopt: array([33., 33., 33.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.15237141, 0.00583232, 0.262413 ]])
fopt: 1.9106971356541536
fun: -1.9273265298167743
message: 'Optimization terminated successfully.'
nfev: 229
nit: 3
status: 0
success: True
x: array([ 53.07609815, -0.99906654, -86.9556122 ])
xopt: array([53., 0., 0.])
zopt: array([53., 53., 53.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.07754793, 0.00206351, 0.00206351]])
fopt: 1.8477475581820872
fun: -1.8509377879372724
message: 'Optimization terminated successfully.'
nfev: 249
nit: 3
status: 0
success: True
x: array([76.00229049, -0.99937654, -0.99598274])
xopt: array([76., 0., 0.])
zopt: array([76., 76., 76.])
*******************************************
Period: 5
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 1.7263623008189097
fun: -1.7338362295108969
message: 'Optimization terminated successfully.'
nfev: 219
nit: 2
status: 0
success: True
x: array([94.00444544, 0.14487353, 1. ])
xopt: array([94., 0., 1.])
zopt: array([94., 94., 95.])
*******************************************
Period: 6
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.469190153719421
fun: -1.4719824425138512
message: 'Optimization terminated successfully.'
nfev: 293
nit: 3
status: 0
success: True
x: array([118.71670591, 1.00000681, -2.02234327])
xopt: array([118., 2., 0.])
zopt: array([118., 120., 120.])
*******************************************
Period: 7
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.3864629594623976
fun: -1.3873095909627817
message: 'Optimization terminated successfully.'
nfev: 274
nit: 2
status: 0
success: True
x: array([141.2451056 , 1.00084456, 1. ])
xopt: array([141., 1., 1.])
zopt: array([141., 142., 143.])
*******************************************
Period: 8
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.3168925520551333
fun: -1.3221046283159588
message: 'Optimization terminated successfully.'
nfev: 251
nit: 2
status: 0
success: True
x: array([160.00139944, 1. , 2. ])
xopt: array([160., 1., 2.])
zopt: array([160., 161., 163.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1484
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.10663317102602
fun: -1.1114540883264021
message: 'Optimization terminated successfully.'
nfev: 336
nit: 4
status: 0
success: True
x: array([179.00015071, 1.0000374 , -0.50381277])
xopt: array([179., 1., 0.])
zopt: array([179., 180., 180.])
*******************************************
Period: 11
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.85313105e-03, 4.38673116e-16, -3.53860498e-05]])
fopt: 1.1311632715152504
fun: -1.1323186535251586
message: 'Optimization terminated successfully.'
nfev: 489
nit: 6
status: 0
success: True
x: array([178.98392673, 1.00357305, 17.05920137])
xopt: array([178., 2., 17.])
zopt: array([178., 180., 197.])
*******************************************
Period: 12
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.87078532e+00, 5.73891657e-04, 2.55185152e+01]])
fopt: 1.0875990960670694
fun: -1.0883270279048913
message: 'Optimization terminated successfully.'
nfev: 385
nit: 5
status: 0
success: True
x: array([177.99881687, 2.00051138, 31.22552999])
xopt: array([177., 3., 31.])
zopt: array([177., 180., 211.])
*******************************************
Period: 13
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0813234427026077
fun: -1.081758212762242
message: 'Optimization terminated successfully.'
nfev: 217
nit: 3
status: 0
success: True
x: array([178.97882787, 1.02261389, 55.03638382])
xopt: array([178., 2., 55.])
zopt: array([178., 180., 235.])
*******************************************
Period: 14
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.90888442e-04, -0.00000000e+00, 3.04395313e-09]])
fopt: 1.0874707921670967
fun: -1.0860924424047373
message: 'Optimization terminated successfully.'
nfev: 542
nit: 6
status: 0
success: True
x: array([178.99938916, 1.0081272 , 70.0011587 ])
xopt: array([178., 2., 71.])
zopt: array([178., 180., 251.])
*******************************************
Period: 15
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -0.00100908, 0.68653265]])
fopt: 1.0959416315837434
fun: -1.0935473248156047
message: 'Optimization terminated successfully.'
nfev: 243
nit: 3
status: 0
success: True
x: array([179.79794308, 1.0143677 , 90.15077847])
xopt: array([179., 1., 90.])
zopt: array([179., 180., 270.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.12406285, 0. , -0.28605073]])
fopt: 1.0886494838300287
fun: -1.08625697785781
message: 'Optimization terminated successfully.'
nfev: 362
nit: 4
status: 0
success: True
x: array([179.34863421, 1.00813062, 107.08686195])
xopt: array([179., 1., 108.])
zopt: array([179., 180., 288.])
*******************************************
Period: 17
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0262285937975835
fun: -1.0262939368351582
message: 'Optimization terminated successfully.'
nfev: 290
nit: 4
status: 0
success: True
x: array([178.99380906, 1.00310562, 135.06118176])
xopt: array([178., 2., 135.])
zopt: array([178., 180., 315.])
*******************************************
Period: 18
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -4.89402933e-03, 1.54970356e+02],
[-0.00000000e+00, -1.35457976e-09, -0.00000000e+00]])
fopt: 0.9796230472501849
fun: -0.9787548601112086
message: 'Optimization terminated successfully.'
nfev: 505
nit: 6
status: 0
success: True
x: array([178.49230593, 2.00081624, 160.08811392])
xopt: array([178., 2., 160.])
zopt: array([178., 180., 340.])
*******************************************
Period: 19
direc: array([[-5.26920327e-01, -3.04257029e-03, -2.71317518e-02],
[-4.33857069e+00, -2.07144125e-02, 1.60097012e+01],
[ 6.44425800e-04, -2.11323464e-01, -4.70818685e-03]])
fopt: 0.9362194803767561
fun: -0.9347687608820576
message: 'Optimization terminated successfully.'
nfev: 437
nit: 5
status: 0
success: True
x: array([151.77930602, 29.00375952, 109.00043284])
xopt: array([151., 29., 109.])
zopt: array([151., 180., 289.])
*******************************************
Period: 20
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.8640621706737379
fun: -0.865352196882845
message: 'Optimization terminated successfully.'
nfev: 291
nit: 4
status: 0
success: True
x: array([180.00347537, 2.00813062, 182.1342318 ])
xopt: array([180., 3., 183.])
zopt: array([180., 183., 366.])
*******************************************
Period: 21
direc: array([[1.23864363e-03, 6.98476243e-06, 1.40261576e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.77527507e-01, 1.00108492e-03, 1.43326130e+02]])
fopt: 0.832709791089109
fun: -0.8324006330646752
message: 'Optimization terminated successfully.'
nfev: 526
nit: 5
status: 0
success: True
x: array([178.39867653, 2.0003552 , 195.56625018])
xopt: array([178., 2., 195.])
zopt: array([178., 180., 375.])
*******************************************
Period: 22
direc: array([[-9.89234949e-01, -4.98365137e-04, -1.18004505e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.15970221e-03, 1.51989075e+02]])
fopt: 0.7826279783358626
fun: -0.7819124554670693
message: 'Optimization terminated successfully.'
nfev: 441
nit: 5
status: 0
success: True
x: array([180.36012342, -0.38663359, 159.06741115])
xopt: array([180., 0., 160.])
zopt: array([180., 180., 340.])
*******************************************
Period: 23
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7715411394580481
fun: -0.7724315809693727
message: 'Optimization terminated successfully.'
nfev: 349
nit: 5
status: 0
success: True
x: array([179.00706463, 2.00366513, 196. ])
xopt: array([179., 2., 196.])
zopt: array([179., 181., 377.])
*******************************************
Period: 24
direc: array([[-4.02734891e-01, -1.83548745e-05, -7.28967382e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.92457353e-11, -3.83607323e-10, -5.01632836e-05]])
fopt: 0.7752779670579866
fun: -0.774946754544589
message: 'Optimization terminated successfully.'
nfev: 411
nit: 4
status: 0
success: True
x: array([178.99571419, 1.00264792, 161.18811723])
xopt: array([178., 2., 161.])
zopt: array([178., 180., 341.])
*******************************************
Period: 25
direc: array([[-2.62146360e-04, 0.00000000e+00, -1.08825930e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.58802295e-01, 0.00000000e+00, -4.15678040e-02]])
fopt: 0.8038678992717828
fun: -0.8046386350391056
message: 'Optimization terminated successfully.'
nfev: 630
nit: 7
status: 0
success: True
x: array([179.23113372, 1.00709419, 195.00078307])
xopt: array([179., 1., 195.])
zopt: array([179., 180., 375.])
*******************************************
Period: 26
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.35006792e-02, 1.39350958e+02],
[ 0.00000000e+00, -4.43571992e-07, -4.66990722e-11]])
fopt: 0.7853732659541137
fun: -0.7844603164893814
message: 'Optimization terminated successfully.'
nfev: 448
nit: 5
status: 0
success: True
x: array([179.14276194, 1.0162928 , 190.14649855])
xopt: array([179., 1., 191.])
zopt: array([179., 180., 371.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -7.57342879e-07, -4.22758424e-01]])
fopt: 0.7755596928382767
fun: -0.7752345015665252
message: 'Optimization terminated successfully.'
nfev: 401
nit: 4
status: 0
success: True
x: array([179.04359854, 1.00101158, 159.00005754])
xopt: array([179., 1., 160.])
zopt: array([179., 180., 340.])
*******************************************
Period: 28
direc: array([[1.63784197e-01, 0.00000000e+00, 1.84552472e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.94822791e-01, 1.96988475e-01, 1.53113446e+02]])
fopt: 0.7853782115166266
fun: -0.7853242101098926
message: 'Optimization terminated successfully.'
nfev: 531
nit: 6
status: 0
success: True
x: array([179. , 1.00000027, 160.00000124])
xopt: array([178., 2., 160.])
zopt: array([178., 180., 340.])
*******************************************
Period: 29
direc: array([[ 5.81828864e-02, 0.00000000e+00, 7.35975993e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.22462467e-06, -6.61146172e-07, -1.88103204e-04]])
fopt: 0.5371957343745818
fun: -0.5359400234840133
message: 'Optimization terminated successfully.'
nfev: 448
nit: 4
status: 0
success: True
x: array([178.92584625, 1.0061804 , 5.00830046])
xopt: array([178., 2., 6.])
zopt: array([178., 180., 186.])
*******************************************
Period: 30
direc: array([[ 3.38982142e-06, 1.54582103e-10, 3.80246896e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.48889895e+00, -1.35482704e-01, 1.43153789e+02]])
fopt: 0.7718558364642004
fun: -0.7724997665557968
message: 'Optimization terminated successfully.'
nfev: 649
nit: 7
status: 0
success: True
x: array([174.99884089, 5.02549884, 160.00535984])
xopt: array([174., 6., 160.])
zopt: array([174., 180., 340.])
*******************************************
Period: 31
direc: array([[1.67713706, 0.0104582 , 0.01869351],
[0. , 0.94427191, 0.94427191],
[0. , 1. , 0. ]])
fopt: 0.5323125248297906
fun: -0.5320241593997482
message: 'Optimization terminated successfully.'
nfev: 868
nit: 8
status: 0
success: True
x: array([182.11235233, 10.00139775, 6.29698983])
xopt: array([182., 11., 7.])
zopt: array([182., 193., 200.])
*******************************************
Period: 32
direc: array([[ 9.06981673e-01, 4.29711680e-03, 8.84897636e-03],
[-5.36970002e+01, 3.73705936e+01, 8.90729245e+01],
[-1.60751129e-04, 1.99125709e+00, -1.57346270e-06]])
fopt: 0.8529548798729493
fun: -0.8525733240723454
message: 'Optimization terminated successfully.'
nfev: 1030
nit: 13
status: 0
success: True
x: array([101.0027469 , 96.0003877 , 205.22481786])
xopt: array([101., 96., 205.])
zopt: array([101., 197., 402.])
*******************************************
Period: 33
direc: array([[ 1. , 0. , 0. ],
[-0.47311663, -0.00802683, 1. ],
[-4.39003492, 0.99394635, 2. ]])
fopt: 0.506612966632074
fun: -0.5066959592495708
message: 'Optimization terminated successfully.'
nfev: 382
nit: 5
status: 0
success: True
x: array([224.00042307, 4.00538932, 7.0162174 ])
xopt: array([224., 4., 8.])
zopt: array([224., 228., 236.])
*******************************************
Period: 34
direc: array([[ 1.15414796e+00, -1.03863658e-01, -9.75184664e-01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.81090706e-10, -3.59297925e-05, 9.90000000e-01]])
fopt: 0.6651867656911561
fun: -0.6647823995137028
message: 'Optimization terminated successfully.'
nfev: 572
nit: 7
status: 0
success: True
x: array([170.49713198, 10.22139166, 73.00007294])
xopt: array([170., 10., 74.])
zopt: array([170., 180., 254.])
*******************************************
Period: 35
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-181.80659029, 184.07526597, 127.61116669]])
fopt: 0.756956031753247
fun: -0.7584991554252392
message: 'Optimization terminated successfully.'
nfev: 483
nit: 7
status: 0
success: True
x: array([ 89. , 184.00003664, 130.29429009])
xopt: array([ 89., 184., 131.])
zopt: array([ 89., 273., 404.])
*******************************************
Period: 36
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.47234384e-01, 3.33007678e-01, 2.14913472e-01],
[-1.15922883e+02, 1.39458242e+02, -2.42838077e-02]])
fopt: 0.6795434378424433
fun: -0.6795156798413012
message: 'Optimization terminated successfully.'
nfev: 1214
nit: 17
status: 0
success: True
x: array([ 88.99999989, 230.57096486, 22.13583651])
xopt: array([ 88., 230., 22.])
zopt: array([ 88., 318., 340.])
*******************************************
Period: 37
direc: array([[ -3.06888366, 3. , 2. ],
[ 0. , 1. , 0. ],
[-212.93664945, 171.43460562, 114.28973728]])
fopt: 0.7452976183440922
fun: -0.7458123316776785
message: 'Optimization terminated successfully.'
nfev: 452
nit: 6
status: 0
success: True
x: array([ 85.94323381, 183.00009721, 123.00358838])
xopt: array([ 85., 183., 124.])
zopt: array([ 85., 268., 392.])
*******************************************
Period: 38
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4449818281273634
fun: -0.4470992276794119
message: 'Optimization terminated successfully.'
nfev: 274
nit: 4
status: 0
success: True
x: array([312.00081123, 3.0011395 , 3.00042516])
xopt: array([312., 3., 3.])
zopt: array([312., 315., 318.])
*******************************************
Period: 39
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4315507308909454
fun: -0.4332731622307634
message: 'Optimization terminated successfully.'
nfev: 241
nit: 4
status: 0
success: True
x: array([313.00000175, 3.00089316, 2.19158388])
xopt: array([313., 3., 2.])
zopt: array([313., 316., 318.])
*******************************************
Period: 40
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-212.70263314, 204.9271301 , 0. ]])
fopt: 0.6454322953407294
fun: -0.6461913519758924
message: 'Optimization terminated successfully.'
nfev: 785
nit: 8
status: 0
success: True
x: array([ 82.70801986, 225.09180592, 2.00137623])
xopt: array([ 82., 225., 2.])
zopt: array([ 82., 307., 309.])
*******************************************
Period: 41
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.35950702e-03, -1.34586911e-07, -5.07030857e-02]])
fopt: 0.40579133555355196
fun: -0.4075599561646594
message: 'Optimization terminated successfully.'
nfev: 512
nit: 6
status: 0
success: True
x: array([313.000044 , 3.00065668, 2.2794645 ])
xopt: array([313., 3., 2.])
zopt: array([313., 316., 318.])
*******************************************
Period: 42
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.39460447135380433
fun: -0.3964033929667454
message: 'Optimization terminated successfully.'
nfev: 313
nit: 5
status: 0
success: True
x: array([311.00003896, 5.01986153, 2.19527667])
xopt: array([311., 5., 2.])
zopt: array([311., 316., 318.])
*******************************************
Period: 43
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.40646165310147264
fun: -0.40759811567605186
message: 'Optimization terminated successfully.'
nfev: 517
nit: 6
status: 0
success: True
x: array([312. , 3.2144832 , 3.00002776])
xopt: array([312., 3., 3.])
zopt: array([312., 315., 318.])
*******************************************
Period: 44
direc: array([[-2.19978658e-06, 2.29345940e-08, -2.44585034e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.07975663e-04, 2.40708964e-01, 1.89087090e+02]])
fopt: 0.681333653862189
fun: -0.6804720114560043
message: 'Optimization terminated successfully.'
nfev: 393
nit: 4
status: 0
success: True
x: array([180.65415168, -0.63004224, 194.08065943])
xopt: array([180., 0., 195.])
zopt: array([180., 180., 375.])
*******************************************
Period: 45
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.67341786e-05, -4.51752775e-05, 5.18226031e-08]])
fopt: 0.4051027490227082
fun: -0.40508230225520364
message: 'Optimization terminated successfully.'
nfev: 556
nit: 7
status: 0
success: True
x: array([303.90469378, 12.00612646, 2.06930008])
xopt: array([303., 12., 3.])
zopt: array([303., 315., 318.])
*******************************************
Period: 46
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-2.68430366e-08, -1.22378222e-12, -3.01030573e-10],
[-1.59161573e-12, 4.00000000e+00, 6.98000000e+00]])
fopt: 0.6792852346748673
fun: -0.6793148999965741
message: 'Optimization terminated successfully.'
nfev: 507
nit: 6
status: 0
success: True
x: array([179.34093498, 13.00813062, 206.00056618])
xopt: array([179., 14., 206.])
zopt: array([179., 193., 399.])
*******************************************
Period: 47
direc: array([[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.68430366e-08, -1.22378222e-12, -3.01030573e-10],
[-2.27373675e-13, 0.00000000e+00, 9.90000000e-01]])
fopt: 0.6638273411902702
fun: -0.6634368514938315
message: 'Optimization terminated successfully.'
nfev: 437
nit: 5
status: 0
success: True
x: array([179.34093498, 3.00813062, 197.00000131])
xopt: array([180., 4., 198.])
zopt: array([180., 184., 382.])
*******************************************
Period: 48
direc: array([[5.45520611e-03, 2.48704508e-07, 6.11772746e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.43837553e-02, 5.07283525e+00, 9.03285368e+00]])
fopt: 0.6620998381499562
fun: -0.6623733327350474
message: 'Optimization terminated successfully.'
nfev: 964
nit: 9
status: 0
success: True
x: array([179.00724073, 13.01147596, 206.00113999])
xopt: array([179., 13., 206.])
zopt: array([179., 192., 398.])
*******************************************
Period: 49
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.68602134e-09, -6.56897967e-15, 2.68602139e-09]])
fopt: 0.38561396122947433
fun: -0.38625820174988124
message: 'Optimization terminated successfully.'
nfev: 286
nit: 3
status: 0
success: True
x: array([314.53211396, 1.00118234, 3. ])
xopt: array([314., 1., 3.])
zopt: array([314., 315., 318.])
*******************************************
Period: 50
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.50552279e-10, -6.38965495e-15, 1.45539627e-10]])
fopt: 0.3855585428265393
fun: -0.38603254222002487
message: 'Optimization terminated successfully.'
nfev: 335
nit: 4
status: 0
success: True
x: array([313.61907483, 1.0003139 , 4. ])
xopt: array([313., 1., 4.])
zopt: array([313., 314., 318.])
*******************************************
Period: 51
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3856217359539441
fun: -0.3867496601375453
message: 'Optimization terminated successfully.'
nfev: 249
nit: 3
status: 0
success: True
x: array([313.00019784, 3.14598845, 2. ])
xopt: array([313., 3., 2.])
zopt: array([313., 316., 318.])
*******************************************
Period: 52
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3871676754688993
fun: -0.38871005018367283
message: 'Optimization terminated successfully.'
nfev: 341
nit: 4
status: 0
success: True
x: array([313.00359785, 3.00118624, 2. ])
xopt: array([313., 3., 2.])
zopt: array([313., 316., 318.])
*******************************************
Period: 53
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.99999984e-01, 1.00000000e+00, -7.99029095e-06]])
fopt: 0.3865241902681708
fun: -0.38749938437640585
message: 'Optimization terminated successfully.'
nfev: 375
nit: 5
status: 0
success: True
x: array([311.1867914 , 6.07302467, 1.0000182 ])
xopt: array([311., 6., 1.])
zopt: array([311., 317., 318.])
*******************************************
Period: 54
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.04202088, 1.0420209 , 0. ]])
fopt: 0.38004056775553485
fun: -0.38111740970942565
message: 'Optimization terminated successfully.'
nfev: 212
nit: 3
status: 0
success: True
x: array([312.10963749, 4.04035432, 2.07316825])
xopt: array([312., 4., 2.])
zopt: array([312., 316., 318.])
*******************************************
Period: 55
direc: array([[ -0.99999997, 0. , 0. ],
[ -0. , -0. , 0. ],
[-215.33142741, 143.55417758, 0. ]])
fopt: 0.47982199534544445
fun: -0.47863798852533745
message: 'Optimization terminated successfully.'
nfev: 955
nit: 13
status: 0
success: True
x: array([ 76. , 162.53724097, 3. ])
xopt: array([ 75., 163., 3.])
zopt: array([ 75., 238., 241.])
*******************************************
Period: 56
direc: array([[-2.12326780e+02, 2.16291061e+02, 9.60525265e-14],
[ 3.03767294e-11, -2.00000000e-11, -9.44271915e-12],
[ 2.21281779e-05, 4.80586324e-07, 1.44073331e-16]])
fopt: 0.5319247638937479
fun: -0.5330944239050044
message: 'Optimization terminated successfully.'
nfev: 902
nit: 12
status: 0
success: True
x: array([ 88.95138552, 229.13067463, 3.00585289])
xopt: array([ 89., 229., 3.])
zopt: array([ 89., 318., 321.])
*******************************************
Period: 57
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-2.20089539e+02, 2.18238389e+02, 1.58479661e-06],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.5324873969836312
fun: -0.5333105149281765
message: 'Optimization terminated successfully.'
nfev: 774
nit: 10
status: 0
success: True
x: array([ 88.99671097, 225.15154191, 4.23369229])
xopt: array([ 89., 225., 4.])
zopt: array([ 89., 314., 318.])
*******************************************
Period: 58
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-9.99999984e-01, 1.00000000e+00, -6.66033555e-04],
[-2.23528379e+02, 1.49018920e+02, 7.44102082e+01]])
fopt: 0.5744483528283265
fun: -0.5744183316634071
message: 'Optimization terminated successfully.'
nfev: 588
nit: 8
status: 0
success: True
x: array([ 89. , 155.05723417, 76.76461179])
xopt: array([ 89., 155., 77.])
zopt: array([ 89., 244., 321.])
*******************************************
Period: 59
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-126.53532537, -1.42806606, 189.80299101]])
fopt: 0.5878889969725473
fun: -0.5879589072626784
message: 'Optimization terminated successfully.'
nfev: 516
nit: 7
status: 0
success: True
x: array([ 1.87113169e+02, -9.95346615e-02, 1.99004163e+02])
xopt: array([188., 0., 200.])
zopt: array([188., 188., 388.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67trd3vu.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr2r5aipu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [7e-02, 7e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.96966
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.07655 1.96966
Optimal solution found (tolerance 1.00e-02)
Best objective 3.076547788470e+00, best bound 3.076547788470e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphwmw3tot.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplez89ndk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.50301
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.512091e+00, 4 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.5120905 1.51209 0.00% - 0s
Explored 0 nodes (4 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.51209 1.50301
Optimal solution found (tolerance 1.00e-02)
Best objective 1.512090512610e+00, best bound 1.512090512610e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvq855t7a.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplrt2ke23.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.813028
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.067802e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.06780 0 6 0.81303 2.06780 154% - 0s
H 0 0 1.9106971 2.06780 8.22% - 0s
0 0 cutoff 0 1.91070 1.91070 0.00% - 0s
Cutting planes:
Gomory: 5
MIR: 2
Flow cover: 2
Flow path: 1
Explored 1 nodes (29 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.9107 0.813028
Optimal solution found (tolerance 1.00e-02)
Best objective 1.910697135654e+00, best bound 1.910697135654e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8lm7dg71.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmc2019n_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24532
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 2.114971e+00, 41 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11497 0 9 1.24532 2.11497 69.8% - 0s
H 0 0 1.8477476 2.11497 14.5% - 0s
0 0 cutoff 0 1.84775 1.84775 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 5
Flow cover: 1
Flow path: 1
Explored 1 nodes (50 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.84775 1.24532
Optimal solution found (tolerance 1.00e-02)
Best objective 1.847747558182e+00, best bound 1.847747558182e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbghu8yia.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptvwgbddh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27946
Presolve removed 123 rows and 85 columns
Presolve time: 0.00s
Presolved: 114 rows, 90 columns, 380 nonzeros
Variable types: 43 continuous, 47 integer (42 binary)
Root relaxation: objective 2.201342e+00, 64 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.20134 0 4 1.27946 2.20134 72.1% - 0s
H 0 0 1.8202144 2.20134 20.9% - 0s
0 0 1.85166 0 1 1.82021 1.85166 1.73% - 0s
0 0 1.85166 0 1 1.82021 1.85166 1.73% - 0s
0 0 1.84916 0 3 1.82021 1.84916 1.59% - 0s
0 0 1.84875 0 3 1.82021 1.84875 1.57% - 0s
0 0 1.84873 0 3 1.82021 1.84873 1.57% - 0s
0 0 1.84796 0 3 1.82021 1.84796 1.52% - 0s
0 0 1.84794 0 3 1.82021 1.84794 1.52% - 0s
0 0 1.84778 0 3 1.82021 1.84778 1.51% - 0s
0 0 1.84778 0 3 1.82021 1.84778 1.51% - 0s
0 0 1.84778 0 1 1.82021 1.84778 1.51% - 0s
0 0 cutoff 0 1.82021 1.82021 0.00% - 0s
Cutting planes:
MIR: 1
Explored 1 nodes (120 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.82021 1.27946
Optimal solution found (tolerance 1.00e-02)
Best objective 1.820214437456e+00, best bound 1.820214437456e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc1z1vak6.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjafixbxq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.4599
Presolve removed 159 rows and 109 columns
Presolve time: 0.00s
Presolved: 124 rows, 99 columns, 426 nonzeros
Variable types: 49 continuous, 50 integer (45 binary)
Root relaxation: objective 1.980633e+00, 76 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98063 0 5 1.45990 1.98063 35.7% - 0s
H 0 0 1.6206634 1.98063 22.2% - 0s
0 0 1.65285 0 2 1.62066 1.65285 1.99% - 0s
0 0 1.64676 0 1 1.62066 1.64676 1.61% - 0s
0 0 1.64676 0 1 1.62066 1.64676 1.61% - 0s
0 0 cutoff 0 1.62066 1.62066 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 1
Explored 1 nodes (122 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.62066 1.4599
Optimal solution found (tolerance 1.00e-02)
Best objective 1.620663425023e+00, best bound 1.620663425023e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67mcw8i0.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp822otbi5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25002
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.124403e+00, 105 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12440 0 8 1.25002 2.12440 69.9% - 0s
0 0 1.83791 0 8 1.25002 1.83791 47.0% - 0s
0 0 1.78025 0 4 1.25002 1.78025 42.4% - 0s
H 0 0 1.5714343 1.78025 13.3% - 0s
0 0 1.78025 0 4 1.57143 1.78025 13.3% - 0s
0 0 1.78025 0 4 1.57143 1.78025 13.3% - 0s
0 0 1.78025 0 4 1.57143 1.78025 13.3% - 0s
0 2 1.78025 0 4 1.57143 1.78025 13.3% - 0s
H 3 2 1.5836183 1.71053 8.01% 1.3 0s
H 7 2 1.6144921 1.70124 5.37% 2.4 0s
Cutting planes:
Gomory: 5
Implied bound: 1
MIR: 3
Flow cover: 8
Explored 14 nodes (230 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.61449 1.58362 1.57143 1.25002
Optimal solution found (tolerance 1.00e-02)
Best objective 1.614492091665e+00, best bound 1.614492091665e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6iy6vas5.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsoxikfae.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.29694
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.144271e+00, 125 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14427 0 9 1.29694 2.14427 65.3% - 0s
0 0 2.00886 0 17 1.29694 2.00886 54.9% - 0s
0 0 1.80769 0 3 1.29694 1.80769 39.4% - 0s
0 0 1.80733 0 6 1.29694 1.80733 39.4% - 0s
0 0 1.80733 0 6 1.29694 1.80733 39.4% - 0s
0 2 1.80733 0 6 1.29694 1.80733 39.4% - 0s
H 9 8 1.6033564 1.74560 8.87% 4.4 0s
* 27 3 10 1.6099398 1.74553 8.42% 4.9 0s
Cutting planes:
Gomory: 8
Implied bound: 3
Clique: 2
MIR: 2
Flow cover: 13
Explored 38 nodes (425 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.60994 1.60336 1.29694
Optimal solution found (tolerance 1.00e-02)
Best objective 1.609939763354e+00, best bound 1.613352617772e+00, gap 0.2120%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7ua7zklc.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpetu8qxnc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.34287
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.133522e+00, 143 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.13352 0 11 1.34287 2.13352 58.9% - 0s
H 0 0 1.5395422 2.13352 38.6% - 0s
0 0 1.91204 0 23 1.53954 1.91204 24.2% - 0s
0 0 1.79199 0 7 1.53954 1.79199 16.4% - 0s
0 0 1.78923 0 12 1.53954 1.78923 16.2% - 0s
0 0 1.78897 0 7 1.53954 1.78897 16.2% - 0s
0 0 1.78591 0 11 1.53954 1.78591 16.0% - 0s
0 0 1.78590 0 12 1.53954 1.78590 16.0% - 0s
0 0 1.78588 0 12 1.53954 1.78588 16.0% - 0s
0 0 1.78588 0 12 1.53954 1.78588 16.0% - 0s
0 2 1.78588 0 12 1.53954 1.78588 16.0% - 0s
H 9 10 1.5609632 1.65469 6.00% 7.6 0s
H 32 15 1.5884539 1.65469 4.17% 4.5 0s
Cutting planes:
Gomory: 6
Implied bound: 2
MIR: 1
Flow cover: 16
Explored 47 nodes (497 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.58845 1.56096 1.53954 1.34287
Optimal solution found (tolerance 1.00e-02)
Best objective 1.588453882603e+00, best bound 1.588453882603e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphgif2dbe.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_uvuvkdn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.41264
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.915344e+00, 179 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91534 0 12 1.41264 1.91534 35.6% - 0s
0 0 1.68912 0 22 1.41264 1.68912 19.6% - 0s
0 0 1.63882 0 18 1.41264 1.63882 16.0% - 0s
0 0 1.63678 0 17 1.41264 1.63678 15.9% - 0s
0 0 1.63677 0 17 1.41264 1.63677 15.9% - 0s
0 0 1.63677 0 17 1.41264 1.63677 15.9% - 0s
0 2 1.63677 0 17 1.41264 1.63677 15.9% - 0s
Cutting planes:
Gomory: 10
Implied bound: 3
MIR: 5
Flow cover: 12
Explored 40 nodes (538 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.41264
Optimal solution found (tolerance 1.00e-02)
Best objective 1.412639342402e+00, best bound 1.412639342402e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpelib0his.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp97z39tbw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27729
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.862713e+00, 203 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.86271 0 17 1.27729 1.86271 45.8% - 0s
0 0 1.63684 0 29 1.27729 1.63684 28.1% - 0s
0 0 1.61938 0 28 1.27729 1.61938 26.8% - 0s
0 0 1.61938 0 27 1.27729 1.61938 26.8% - 0s
0 0 1.61938 0 27 1.27729 1.61938 26.8% - 0s
0 0 1.61938 0 27 1.27729 1.61938 26.8% - 0s
H 0 0 1.4085332 1.61938 15.0% - 0s
0 2 1.61938 0 27 1.40853 1.61938 15.0% - 0s
H 27 8 1.4085333 1.46232 3.82% 8.0 0s
Cutting planes:
Gomory: 9
Implied bound: 7
Clique: 2
MIR: 1
Flow cover: 10
Explored 46 nodes (706 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.40853 1.40853 1.27729
Optimal solution found (tolerance 1.00e-02)
Best objective 1.408533253708e+00, best bound 1.408533253708e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_5lrrvrz.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgcaqxcic.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25837
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.784117e+00, 219 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78412 0 21 1.25837 1.78412 41.8% - 0s
0 0 1.57951 0 30 1.25837 1.57951 25.5% - 0s
H 0 0 1.3269503 1.57951 19.0% - 0s
0 0 1.53507 0 23 1.32695 1.53507 15.7% - 0s
0 0 1.53505 0 23 1.32695 1.53505 15.7% - 0s
0 0 1.53073 0 26 1.32695 1.53073 15.4% - 0s
0 0 1.53073 0 26 1.32695 1.53073 15.4% - 0s
0 0 1.53073 0 26 1.32695 1.53073 15.4% - 0s
0 0 1.53073 0 26 1.32695 1.53073 15.4% - 0s
0 2 1.53073 0 26 1.32695 1.53073 15.4% - 0s
* 52 15 16 1.3382902 1.38607 3.57% 4.7 0s
Cutting planes:
Gomory: 11
Implied bound: 7
Clique: 2
MIR: 1
Flow cover: 19
Inf proof: 1
Explored 92 nodes (879 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.33829 1.32695 1.25837
Optimal solution found (tolerance 1.00e-02)
Best objective 1.338290196200e+00, best bound 1.341140678262e+00, gap 0.2130%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj3p85qs4.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp16a74b3l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20441
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.760087e+00, 249 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76009 0 23 1.20441 1.76009 46.1% - 0s
0 0 1.63378 0 19 1.20441 1.63378 35.6% - 0s
0 0 1.59143 0 22 1.20441 1.59143 32.1% - 0s
0 0 1.53284 0 21 1.20441 1.53284 27.3% - 0s
0 0 1.53216 0 24 1.20441 1.53216 27.2% - 0s
0 0 1.53173 0 24 1.20441 1.53173 27.2% - 0s
0 0 1.52907 0 27 1.20441 1.52907 27.0% - 0s
0 0 1.52891 0 27 1.20441 1.52891 26.9% - 0s
0 0 1.52417 0 37 1.20441 1.52417 26.5% - 0s
0 0 1.52162 0 38 1.20441 1.52162 26.3% - 0s
0 0 1.52016 0 39 1.20441 1.52016 26.2% - 0s
0 0 1.51907 0 41 1.20441 1.51907 26.1% - 0s
0 0 1.51799 0 41 1.20441 1.51799 26.0% - 0s
0 0 1.51515 0 41 1.20441 1.51515 25.8% - 0s
0 0 1.51434 0 40 1.20441 1.51434 25.7% - 0s
0 0 1.51434 0 40 1.20441 1.51434 25.7% - 0s
0 2 1.51434 0 40 1.20441 1.51434 25.7% - 0s
H 59 29 1.3147217 1.36772 4.03% 8.5 0s
* 358 0 24 1.3166043 1.32186 0.40% 5.8 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 16
Clique: 2
MIR: 11
Flow cover: 27
Inf proof: 4
Explored 364 nodes (2598 simplex iterations) in 0.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.3166 1.31472 1.20441
Optimal solution found (tolerance 1.00e-02)
Best objective 1.316604335395e+00, best bound 1.316604335395e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx9s0w9vm.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3mp9ebzx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16657
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.761138e+00, 269 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76114 0 26 1.16657 1.76114 51.0% - 0s
0 0 1.63572 0 18 1.16657 1.63572 40.2% - 0s
0 0 1.59688 0 28 1.16657 1.59688 36.9% - 0s
0 0 1.53424 0 21 1.16657 1.53424 31.5% - 0s
0 0 1.53015 0 23 1.16657 1.53015 31.2% - 0s
0 0 1.53010 0 26 1.16657 1.53010 31.2% - 0s
0 0 1.53010 0 28 1.16657 1.53010 31.2% - 0s
0 0 1.53010 0 28 1.16657 1.53010 31.2% - 0s
0 0 1.53010 0 24 1.16657 1.53010 31.2% - 0s
0 2 1.53010 0 24 1.16657 1.53010 31.2% - 0s
* 127 35 26 1.2968129 1.38670 6.93% 6.1 0s
* 162 31 24 1.3041978 1.37998 5.81% 5.9 0s
Cutting planes:
Gomory: 10
Implied bound: 7
Clique: 2
MIR: 2
Flow cover: 22
Inf proof: 1
Explored 290 nodes (2035 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.3042 1.29681 1.16657
Optimal solution found (tolerance 1.00e-02)
Best objective 1.304197753430e+00, best bound 1.311221060930e+00, gap 0.5385%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg_9vy5z0.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuuc20mro.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17066
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.765449e+00, 296 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76545 0 28 1.17066 1.76545 50.8% - 0s
0 0 1.64132 0 26 1.17066 1.64132 40.2% - 0s
0 0 1.60130 0 32 1.17066 1.60130 36.8% - 0s
0 0 1.54406 0 31 1.17066 1.54406 31.9% - 0s
0 0 1.54286 0 34 1.17066 1.54286 31.8% - 0s
0 0 1.53909 0 40 1.17066 1.53909 31.5% - 0s
0 0 1.53853 0 40 1.17066 1.53853 31.4% - 0s
0 0 1.53848 0 40 1.17066 1.53848 31.4% - 0s
0 0 1.53847 0 41 1.17066 1.53847 31.4% - 0s
0 0 1.53847 0 41 1.17066 1.53847 31.4% - 0s
0 2 1.53847 0 41 1.17066 1.53847 31.4% - 0s
* 225 110 37 1.2043394 1.35954 12.9% 5.3 0s
* 388 86 32 1.2931322 1.35780 5.00% 5.2 0s
* 500 76 32 1.2964346 1.34651 3.86% 5.2 0s
* 800 0 30 1.2999457 1.32659 2.05% 5.2 0s
Cutting planes:
Gomory: 14
Cover: 4
Implied bound: 19
Clique: 2
MIR: 6
Flow cover: 27
Inf proof: 7
Explored 843 nodes (4936 simplex iterations) in 0.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.29995 1.29643 1.29313 ... 1.17066
Optimal solution found (tolerance 1.00e-02)
Best objective 1.299945745834e+00, best bound 1.299945745834e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg4ngdrka.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfcdox_52.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.17795
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.749700e+00, 326 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74970 0 30 1.17795 1.74970 48.5% - 0s
0 0 1.61021 0 29 1.17795 1.61021 36.7% - 0s
0 0 1.56547 0 40 1.17795 1.56547 32.9% - 0s
0 0 1.51386 0 39 1.17795 1.51386 28.5% - 0s
0 0 1.51385 0 39 1.17795 1.51385 28.5% - 0s
0 0 1.51294 0 40 1.17795 1.51294 28.4% - 0s
0 0 1.51069 0 41 1.17795 1.51069 28.2% - 0s
0 0 1.51069 0 41 1.17795 1.51069 28.2% - 0s
0 0 1.51014 0 41 1.17795 1.51014 28.2% - 0s
0 0 1.51014 0 39 1.17795 1.51014 28.2% - 0s
0 2 1.51014 0 38 1.17795 1.51014 28.2% - 0s
* 182 80 35 1.2793435 1.34690 5.28% 6.7 0s
Cutting planes:
Gomory: 15
Cover: 2
Implied bound: 15
Clique: 2
MIR: 4
Flow cover: 30
Inf proof: 22
Explored 1782 nodes (10125 simplex iterations) in 0.88 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.27934 1.17795
Optimal solution found (tolerance 1.00e-02)
Best objective 1.279343547649e+00, best bound 1.289183667018e+00, gap 0.7692%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjjj0vuqf.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb7ap5v5p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19261
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.658594e+00, 339 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65859 0 33 1.19261 1.65859 39.1% - 0s
0 0 1.52690 0 27 1.19261 1.52690 28.0% - 0s
0 0 1.49016 0 36 1.19261 1.49016 24.9% - 0s
0 0 1.43131 0 37 1.19261 1.43131 20.0% - 0s
0 0 1.42900 0 43 1.19261 1.42900 19.8% - 0s
0 0 1.42900 0 43 1.19261 1.42900 19.8% - 0s
0 0 1.42899 0 43 1.19261 1.42899 19.8% - 0s
0 0 1.42899 0 39 1.19261 1.42899 19.8% - 0s
0 2 1.42899 0 39 1.19261 1.42899 19.8% - 0s
* 466 192 43 1.1959166 1.28105 7.12% 5.4 0s
* 765 260 36 1.2016116 1.27368 6.00% 5.5 0s
H 995 268 1.2024378 1.25893 4.70% 6.3 0s
* 1353 159 37 1.2041577 1.22824 2.00% 7.0 0s
* 1394 169 35 1.2050254 1.22799 1.91% 7.0 0s
Cutting planes:
Gomory: 20
Cover: 3
Implied bound: 18
Clique: 2
MIR: 6
Flow cover: 28
Inf proof: 13
Explored 1597 nodes (11355 simplex iterations) in 0.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.20503 1.20416 1.20244 ... 1.19261
Optimal solution found (tolerance 1.00e-02)
Best objective 1.205025425592e+00, best bound 1.216237153608e+00, gap 0.9304%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw4d2svvk.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnvrr93iz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11328
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.603059e+00, 367 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.60306 0 36 1.11328 1.60306 44.0% - 0s
0 0 1.45239 0 37 1.11328 1.45239 30.5% - 0s
0 0 1.42369 0 53 1.11328 1.42369 27.9% - 0s
0 0 1.37150 0 50 1.11328 1.37150 23.2% - 0s
0 0 1.37150 0 50 1.11328 1.37150 23.2% - 0s
0 0 1.37071 0 52 1.11328 1.37071 23.1% - 0s
0 0 1.37009 0 53 1.11328 1.37009 23.1% - 0s
0 0 1.37009 0 43 1.11328 1.37009 23.1% - 0s
0 2 1.37009 0 43 1.11328 1.37009 23.1% - 0s
* 469 242 49 1.1351493 1.22139 7.60% 5.7 0s
* 643 308 51 1.1351562 1.21841 7.33% 5.4 0s
H 739 353 1.1452625 1.21816 6.37% 5.5 0s
Cutting planes:
Gomory: 25
Implied bound: 4
Projected implied bound: 3
MIR: 4
Flow cover: 19
Inf proof: 2
Explored 938 nodes (6920 simplex iterations) in 1.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.14526 1.13516 1.13515 1.11328
Optimal solution found (tolerance 1.00e-02)
Best objective 1.145262511249e+00, best bound 1.156260886175e+00, gap 0.9603%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqvq85843.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps75ua99v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07199
Presolve removed 326 rows and 213 columns
Presolve time: 0.02s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.518876e+00, 377 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51888 0 35 1.07199 1.51888 41.7% - 0s
0 0 1.37496 0 40 1.07199 1.37496 28.3% - 0s
0 0 1.32615 0 57 1.07199 1.32615 23.7% - 0s
0 0 1.29514 0 53 1.07199 1.29514 20.8% - 0s
0 0 1.29379 0 55 1.07199 1.29379 20.7% - 0s
0 0 1.29341 0 56 1.07199 1.29341 20.7% - 0s
0 0 1.29341 0 56 1.07199 1.29341 20.7% - 0s
0 0 1.29249 0 53 1.07199 1.29249 20.6% - 0s
0 0 1.29249 0 41 1.07199 1.29249 20.6% - 0s
0 2 1.29249 0 41 1.07199 1.29249 20.6% - 0s
* 1180 323 41 1.0724068 1.13686 6.01% 9.1 0s
Cutting planes:
Gomory: 18
Cover: 12
Implied bound: 31
Clique: 2
MIR: 9
Flow cover: 32
Inf proof: 41
Explored 2892 nodes (24614 simplex iterations) in 2.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.07241 1.07199
Optimal solution found (tolerance 1.00e-02)
Best objective 1.072406825953e+00, best bound 1.080650577551e+00, gap 0.7687%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqm5rfs3k.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpunxqows_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.995048
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.485347e+00, 423 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48535 0 38 0.99505 1.48535 49.3% - 0s
0 0 1.32515 0 40 0.99505 1.32515 33.2% - 0s
0 0 1.28325 0 53 0.99505 1.28325 29.0% - 0s
0 0 1.24725 0 49 0.99505 1.24725 25.3% - 0s
0 0 1.24724 0 49 0.99505 1.24724 25.3% - 0s
0 0 1.24625 0 53 0.99505 1.24625 25.2% - 0s
0 0 1.24625 0 53 0.99505 1.24625 25.2% - 0s
0 0 1.24462 0 55 0.99505 1.24462 25.1% - 0s
0 0 1.24462 0 49 0.99505 1.24462 25.1% - 0s
0 2 1.24462 0 49 0.99505 1.24462 25.1% - 0s
H 726 446 1.0115268 1.12079 10.8% 6.8 0s
* 2154 273 63 1.0141236 1.06573 5.09% 8.2 2s
* 2226 260 61 1.0251269 1.06573 3.96% 8.1 2s
* 2661 259 61 1.0259362 1.05489 2.82% 8.0 3s
* 3264 53 61 1.0280401 1.03695 0.87% 8.0 3s
Cutting planes:
Gomory: 31
Implied bound: 9
Projected implied bound: 20
Clique: 2
MIR: 9
Flow cover: 20
Inf proof: 23
Explored 3311 nodes (27074 simplex iterations) in 3.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.02804 1.02594 1.02513 ... 0.995048
Optimal solution found (tolerance 1.00e-02)
Best objective 1.028040066435e+00, best bound 1.034653380597e+00, gap 0.6433%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzoihzl05.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgov1nuce.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.961966
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.430642e+00, 440 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43064 0 42 0.96197 1.43064 48.7% - 0s
0 0 1.27512 0 46 0.96197 1.27512 32.6% - 0s
0 0 1.23602 0 63 0.96197 1.23602 28.5% - 0s
0 0 1.19925 0 59 0.96197 1.19925 24.7% - 0s
0 0 1.19907 0 59 0.96197 1.19907 24.6% - 0s
0 0 1.19630 0 65 0.96197 1.19630 24.4% - 0s
0 0 1.19605 0 65 0.96197 1.19605 24.3% - 0s
0 0 1.19599 0 65 0.96197 1.19599 24.3% - 0s
0 0 1.19467 0 64 0.96197 1.19467 24.2% - 0s
0 0 1.19467 0 51 0.96197 1.19467 24.2% - 0s
0 2 1.19467 0 50 0.96197 1.19467 24.2% - 0s
* 1042 506 77 0.9726375 1.07654 10.7% 9.5 2s
* 1093 467 76 0.9776784 1.07654 10.1% 9.6 2s
* 3306 228 72 0.9784898 0.99943 2.14% 10.8 4s
3498 164 0.98241 36 30 0.97849 0.99351 1.53% 10.8 5s
* 3693 118 70 0.9795846 0.99049 1.11% 10.7 5s
Cutting planes:
Gomory: 30
Cover: 2
Implied bound: 10
Projected implied bound: 26
Clique: 2
MIR: 9
Flow cover: 28
Inf proof: 24
Explored 3790 nodes (40970 simplex iterations) in 5.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.979585 0.97849 0.977678 ... 0.961966
Optimal solution found (tolerance 1.00e-02)
Best objective 9.795845855660e-01, best bound 9.858644039135e-01, gap 0.6411%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8p9uxu0g.pyomo.lp
Reading time = 0.00 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpczpp1tn7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.939159
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.372107e+00, 488 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37211 0 41 0.93916 1.37211 46.1% - 0s
0 0 1.24959 0 58 0.93916 1.24959 33.1% - 0s
0 0 1.24959 0 58 0.93916 1.24959 33.1% - 0s
0 0 1.21903 0 63 0.93916 1.21903 29.8% - 0s
0 0 1.21896 0 63 0.93916 1.21896 29.8% - 0s
0 0 1.21028 0 72 0.93916 1.21028 28.9% - 0s
0 0 1.20994 0 72 0.93916 1.20994 28.8% - 0s
0 0 1.20734 0 73 0.93916 1.20734 28.6% - 0s
0 0 1.20677 0 73 0.93916 1.20677 28.5% - 0s
0 0 1.20677 0 59 0.93916 1.20677 28.5% - 0s
0 2 1.20677 0 59 0.93916 1.20677 28.5% - 0s
* 1066 424 71 0.9391590 1.02172 8.79% 9.7 2s
3407 121 cutoff 31 0.93916 0.95628 1.82% 10.9 5s
Cutting planes:
Gomory: 40
Cover: 1
Implied bound: 9
Projected implied bound: 28
Clique: 3
MIR: 6
Flow cover: 31
Inf proof: 41
Explored 3786 nodes (41630 simplex iterations) in 5.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.939159 0.939159
Optimal solution found (tolerance 1.00e-02)
Best objective 9.391590000684e-01, best bound 9.464955149245e-01, gap 0.7812%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0xthmn3t.pyomo.lp
Reading time = 0.00 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph7xdo6i4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.907389
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.328523e+00, 474 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32852 0 41 0.90739 1.32852 46.4% - 0s
0 0 1.19362 0 54 0.90739 1.19362 31.5% - 0s
0 0 1.18577 0 65 0.90739 1.18577 30.7% - 0s
0 0 1.18554 0 65 0.90739 1.18554 30.7% - 0s
0 0 1.16993 0 79 0.90739 1.16993 28.9% - 0s
0 0 1.16934 0 82 0.90739 1.16934 28.9% - 0s
0 0 1.15810 0 83 0.90739 1.15810 27.6% - 0s
0 0 1.15659 0 83 0.90739 1.15659 27.5% - 0s
0 0 1.15658 0 83 0.90739 1.15658 27.5% - 0s
0 0 1.15392 0 82 0.90739 1.15392 27.2% - 0s
0 0 1.15392 0 61 0.90739 1.15392 27.2% - 0s
0 2 1.15392 0 61 0.90739 1.15392 27.2% - 0s
* 3126 426 73 0.9082997 0.93722 3.18% 9.5 4s
3656 289 0.90861 57 20 0.90830 0.93055 2.45% 10.1 5s
Cutting planes:
Gomory: 41
Cover: 2
Implied bound: 6
Projected implied bound: 23
Clique: 2
MIR: 11
Flow cover: 35
Inf proof: 24
Explored 4331 nodes (45415 simplex iterations) in 5.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.9083 0.907389
Optimal solution found (tolerance 1.00e-02)
Best objective 9.082996725704e-01, best bound 9.119171534200e-01, gap 0.3983%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzb8zp55c.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxbt7o79i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.919617
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.338445e+00, 496 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33844 0 43 0.91962 1.33844 45.5% - 0s
0 0 1.20641 0 54 0.91962 1.20641 31.2% - 0s
0 0 1.20641 0 54 0.91962 1.20641 31.2% - 0s
0 0 1.20005 0 67 0.91962 1.20005 30.5% - 0s
0 0 1.19096 0 79 0.91962 1.19096 29.5% - 0s
0 0 1.18426 0 83 0.91962 1.18426 28.8% - 0s
0 0 1.18370 0 85 0.91962 1.18370 28.7% - 0s
0 0 1.18320 0 85 0.91962 1.18320 28.7% - 0s
0 0 1.18320 0 69 0.91962 1.18320 28.7% - 0s
0 2 1.18320 0 69 0.91962 1.18320 28.7% - 0s
2879 488 0.93292 63 24 0.91962 0.97165 5.66% 11.4 5s
Cutting planes:
Gomory: 35
Cover: 1
Implied bound: 16
Projected implied bound: 32
Clique: 2
MIR: 8
Flow cover: 35
Inf proof: 57
Explored 6374 nodes (70095 simplex iterations) in 8.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.919617
Optimal solution found (tolerance 1.00e-02)
Best objective 9.196171867433e-01, best bound 9.278528580206e-01, gap 0.8956%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxbzbw9_e.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx3ith2o0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929487
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.333283e+00, 531 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33328 0 49 0.92949 1.33328 43.4% - 0s
0 0 1.19417 0 67 0.92949 1.19417 28.5% - 0s
0 0 1.19417 0 67 0.92949 1.19417 28.5% - 0s
0 0 1.17713 0 75 0.92949 1.17713 26.6% - 0s
0 0 1.17713 0 75 0.92949 1.17713 26.6% - 0s
0 0 1.17454 0 83 0.92949 1.17454 26.4% - 0s
0 0 1.17424 0 83 0.92949 1.17424 26.3% - 0s
0 0 1.17358 0 81 0.92949 1.17358 26.3% - 0s
0 0 1.17320 0 81 0.92949 1.17320 26.2% - 0s
0 0 1.17313 0 81 0.92949 1.17313 26.2% - 0s
0 0 1.17313 0 65 0.92949 1.17313 26.2% - 0s
0 2 1.17313 0 65 0.92949 1.17313 26.2% - 0s
2776 580 infeasible 41 0.92949 1.01462 9.16% 13.3 5s
6747 790 0.94128 58 21 0.92949 0.97333 4.72% 13.6 10s
Cutting planes:
Gomory: 40
Cover: 2
Implied bound: 12
Projected implied bound: 20
Clique: 2
MIR: 8
Flow cover: 54
Inf proof: 72
Explored 10033 nodes (131497 simplex iterations) in 14.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.929487
Optimal solution found (tolerance 1.00e-02)
Best objective 9.294872465898e-01, best bound 9.381097773621e-01, gap 0.9277%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiqadvqk4.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp10khmioe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.908487
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.299849e+00, 579 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29985 0 52 0.90849 1.29985 43.1% - 0s
0 0 1.16110 0 75 0.90849 1.16110 27.8% - 0s
0 0 1.16110 0 75 0.90849 1.16110 27.8% - 0s
0 0 1.14790 0 84 0.90849 1.14790 26.4% - 0s
0 0 1.14777 0 84 0.90849 1.14777 26.3% - 0s
0 0 1.14592 0 87 0.90849 1.14592 26.1% - 0s
0 0 1.14550 0 88 0.90849 1.14550 26.1% - 0s
0 0 1.14386 0 90 0.90849 1.14386 25.9% - 0s
0 0 1.14386 0 90 0.90849 1.14386 25.9% - 0s
0 0 1.14344 0 88 0.90849 1.14344 25.9% - 0s
0 0 1.14344 0 71 0.90849 1.14344 25.9% - 0s
0 2 1.14344 0 71 0.90849 1.14344 25.9% - 0s
2508 249 cutoff 24 0.90849 0.94574 4.10% 14.8 5s
Cutting planes:
Gomory: 48
Cover: 1
Implied bound: 11
Projected implied bound: 13
Clique: 2
MIR: 9
Flow cover: 33
Inf proof: 22
Explored 4752 nodes (61097 simplex iterations) in 7.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.908487
Optimal solution found (tolerance 1.00e-02)
Best objective 9.084872547848e-01, best bound 9.170736868297e-01, gap 0.9451%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphcl5_zlo.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpueih21eq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.903064
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.283299e+00, 581 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28330 0 55 0.90306 1.28330 42.1% - 0s
0 0 1.15219 0 77 0.90306 1.15219 27.6% - 0s
0 0 1.15219 0 77 0.90306 1.15219 27.6% - 0s
0 0 1.13570 0 81 0.90306 1.13570 25.8% - 0s
0 0 1.13561 0 81 0.90306 1.13561 25.8% - 0s
0 0 1.13496 0 84 0.90306 1.13496 25.7% - 0s
0 0 1.13496 0 67 0.90306 1.13496 25.7% - 0s
0 2 1.13496 0 67 0.90306 1.13496 25.7% - 0s
2104 358 cutoff 38 0.90306 0.94823 5.00% 14.4 5s
* 4407 708 87 0.9036516 0.92971 2.88% 12.4 7s
H 5038 714 0.9045108 0.92669 2.45% 12.5 8s
5962 390 cutoff 64 0.90451 0.91660 1.34% 12.7 10s
Cutting planes:
Gomory: 62
Cover: 1
Implied bound: 23
Projected implied bound: 20
Clique: 2
MIR: 12
Flow cover: 45
Inf proof: 37
Explored 6435 nodes (82424 simplex iterations) in 10.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.904511 0.903652 0.903064
Optimal solution found (tolerance 1.00e-02)
Best objective 9.045108317606e-01, best bound 9.118842155165e-01, gap 0.8152%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps2uz8i9j.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2zlhbwbd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911657
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.276936e+00, 659 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27694 0 56 0.91166 1.27694 40.1% - 0s
0 0 1.16077 0 81 0.91166 1.16077 27.3% - 0s
0 0 1.16077 0 81 0.91166 1.16077 27.3% - 0s
0 0 1.14627 0 87 0.91166 1.14627 25.7% - 0s
0 0 1.14618 0 87 0.91166 1.14618 25.7% - 0s
0 0 1.14566 0 93 0.91166 1.14566 25.7% - 0s
0 0 1.14566 0 69 0.91166 1.14566 25.7% - 0s
0 2 1.14566 0 69 0.91166 1.14566 25.7% - 0s
1945 481 0.95011 37 53 0.91166 0.97273 6.70% 14.8 5s
5325 805 infeasible 54 0.91166 0.93971 3.08% 13.4 10s
Cutting planes:
Gomory: 65
Cover: 1
Implied bound: 14
Projected implied bound: 19
Clique: 2
MIR: 15
Flow cover: 50
Inf proof: 62
Explored 8105 nodes (105661 simplex iterations) in 13.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.911657
Optimal solution found (tolerance 1.00e-02)
Best objective 9.116572259472e-01, best bound 9.194892580312e-01, gap 0.8591%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv4whc9ku.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdo8op09o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884718
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.232131e+00, 634 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23213 0 57 0.88472 1.23213 39.3% - 0s
0 0 1.12995 0 77 0.88472 1.12995 27.7% - 0s
0 0 1.12995 0 77 0.88472 1.12995 27.7% - 0s
0 0 1.11471 0 90 0.88472 1.11471 26.0% - 0s
0 0 1.11470 0 90 0.88472 1.11470 26.0% - 0s
0 0 1.11158 0 97 0.88472 1.11158 25.6% - 0s
0 0 1.11130 0 98 0.88472 1.11130 25.6% - 0s
0 0 1.10970 0 94 0.88472 1.10970 25.4% - 0s
0 0 1.10937 0 94 0.88472 1.10937 25.4% - 0s
0 0 1.10924 0 98 0.88472 1.10924 25.4% - 0s
0 0 1.10924 0 78 0.88472 1.10924 25.4% - 0s
0 2 1.10924 0 78 0.88472 1.10924 25.4% - 0s
2872 604 cutoff 27 0.88472 0.95929 8.43% 10.9 5s
7149 1147 infeasible 56 0.88472 0.91846 3.81% 10.8 10s
11634 957 0.89582 57 36 0.88472 0.90123 1.87% 11.6 15s
Cutting planes:
Gomory: 27
Implied bound: 7
Projected implied bound: 11
Clique: 2
MIR: 10
Flow cover: 29
Inf proof: 16
Explored 13189 nodes (154075 simplex iterations) in 16.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.884718
Optimal solution found (tolerance 1.00e-02)
Best objective 8.847178522364e-01, best bound 8.929467984456e-01, gap 0.9301%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptdblrlt7.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpifgvytq8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.881241
Presolve removed 480 rows and 312 columns
Presolve time: 0.03s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.232367e+00, 670 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23237 0 58 0.88124 1.23237 39.8% - 0s
0 0 1.13325 0 90 0.88124 1.13325 28.6% - 0s
0 0 1.13325 0 90 0.88124 1.13325 28.6% - 0s
0 0 1.11329 0 95 0.88124 1.11329 26.3% - 0s
0 0 1.11320 0 95 0.88124 1.11320 26.3% - 0s
0 0 1.11026 0 98 0.88124 1.11026 26.0% - 0s
0 0 1.10978 0 98 0.88124 1.10978 25.9% - 0s
0 0 1.10978 0 76 0.88124 1.10978 25.9% - 0s
0 2 1.10978 0 76 0.88124 1.10978 25.9% - 0s
2131 582 0.89364 55 44 0.88124 0.97383 10.5% 11.8 5s
H 2834 672 0.8812410 0.95620 8.51% 11.9 6s
5735 1435 0.89611 41 61 0.88124 0.93764 6.40% 11.7 10s
H 7997 1638 0.8812410 0.92256 4.69% 12.3 12s
9568 1854 infeasible 58 0.88124 0.91751 4.12% 12.4 15s
13701 1758 0.89198 51 46 0.88124 0.90620 2.83% 13.0 20s
*16225 1419 93 0.8815146 0.89775 1.84% 13.1 23s
17299 1128 cutoff 68 0.88151 0.89369 1.38% 13.0 25s
Cutting planes:
Gomory: 51
Implied bound: 19
Projected implied bound: 10
Clique: 1
MIR: 16
Flow cover: 57
Inf proof: 81
Explored 18366 nodes (236275 simplex iterations) in 26.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.881515 0.881241 0.881241 0.881241
Optimal solution found (tolerance 1.00e-02)
Best objective 8.815145910215e-01, best bound 8.900217773374e-01, gap 0.9651%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm95ha07t.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7azhk_68.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.867866
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.218408e+00, 724 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21841 0 61 0.86787 1.21841 40.4% - 0s
0 0 1.12071 0 89 0.86787 1.12071 29.1% - 0s
0 0 1.12071 0 89 0.86787 1.12071 29.1% - 0s
0 0 1.11311 0 100 0.86787 1.11311 28.3% - 0s
0 0 1.11303 0 100 0.86787 1.11303 28.2% - 0s
0 0 1.11083 0 107 0.86787 1.11083 28.0% - 0s
0 0 1.11083 0 107 0.86787 1.11083 28.0% - 0s
0 0 1.10953 0 106 0.86787 1.10953 27.8% - 0s
0 0 1.10953 0 106 0.86787 1.10953 27.8% - 0s
0 0 1.10953 0 106 0.86787 1.10953 27.8% - 0s
0 0 1.10953 0 88 0.86787 1.10953 27.8% - 0s
0 2 1.10953 0 88 0.86787 1.10953 27.8% - 0s
* 1392 583 134 0.8694841 1.01350 16.6% 13.5 3s
1933 549 0.90245 31 66 0.86948 0.99522 14.5% 14.7 5s
H 3560 680 0.8713076 0.94848 8.86% 16.0 8s
4963 953 0.87482 38 65 0.87131 0.93538 7.35% 15.3 10s
8145 1514 cutoff 39 0.87131 0.91956 5.54% 14.2 15s
11828 1873 cutoff 58 0.87131 0.90856 4.28% 14.2 20s
15252 1710 0.89734 46 63 0.87131 0.89772 3.03% 14.7 25s
17722 1304 0.89027 59 52 0.87131 0.89027 2.18% 14.9 30s
Cutting planes:
Learned: 1
Gomory: 44
Cover: 3
Implied bound: 26
Projected implied bound: 15
Clique: 2
MIR: 14
Flow cover: 45
Inf proof: 116
Explored 20274 nodes (300804 simplex iterations) in 33.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.871308 0.869484 0.867866
Optimal solution found (tolerance 1.00e-02)
Best objective 8.713076315519e-01, best bound 8.796658150768e-01, gap 0.9593%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn1masape.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8du18x61.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.866162
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.214432e+00, 706 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21443 0 61 0.86616 1.21443 40.2% - 0s
0 0 1.12729 0 90 0.86616 1.12729 30.1% - 0s
0 0 1.12729 0 90 0.86616 1.12729 30.1% - 0s
0 0 1.10936 0 89 0.86616 1.10936 28.1% - 0s
0 0 1.10791 0 87 0.86616 1.10791 27.9% - 0s
0 0 1.10479 0 94 0.86616 1.10479 27.6% - 0s
0 0 1.10368 0 95 0.86616 1.10368 27.4% - 0s
0 0 1.10368 0 95 0.86616 1.10368 27.4% - 0s
0 0 1.10368 0 93 0.86616 1.10368 27.4% - 0s
0 0 1.10368 0 93 0.86616 1.10368 27.4% - 0s
0 0 1.10368 0 78 0.86616 1.10368 27.4% - 0s
0 2 1.10368 0 78 0.86616 1.10368 27.4% - 0s
* 1252 598 135 0.8663745 0.97725 12.8% 13.6 4s
1858 651 0.88103 36 67 0.86637 0.95243 9.93% 13.1 5s
H 4054 1102 0.8673295 0.91748 5.78% 14.0 9s
4610 1236 cutoff 47 0.86733 0.91452 5.44% 14.1 10s
8763 2355 0.87129 110 4 0.86733 0.90607 4.47% 14.2 15s
11593 2856 cutoff 54 0.86733 0.90279 4.09% 14.6 20s
14519 2920 0.87250 62 59 0.86733 0.89923 3.68% 15.6 25s
H16927 2829 0.8694004 0.89538 2.99% 16.6 29s
16937 2805 infeasible 57 0.86940 0.89538 2.99% 16.6 30s
*18964 2602 107 0.8704723 0.89176 2.45% 16.9 33s
19688 2492 cutoff 42 0.87047 0.89042 2.29% 17.0 35s
22359 2160 0.87618 72 45 0.87047 0.88505 1.67% 17.2 40s
Cutting planes:
Gomory: 65
Cover: 1
Implied bound: 28
Projected implied bound: 22
Clique: 1
MIR: 13
Flow cover: 55
Inf proof: 156
Explored 25379 nodes (438948 simplex iterations) in 44.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.870472 0.8694 0.86733 ... 0.866162
Optimal solution found (tolerance 1.00e-02)
Best objective 8.704723261591e-01, best bound 8.787372020059e-01, gap 0.9495%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpya1r1lnx.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdbrdmnac.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.85856
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.208943e+00, 782 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20894 0 63 0.85856 1.20894 40.8% - 0s
0 0 1.12258 0 92 0.85856 1.12258 30.8% - 0s
0 0 1.12258 0 96 0.85856 1.12258 30.8% - 0s
0 0 1.11265 0 98 0.85856 1.11265 29.6% - 0s
0 0 1.11257 0 98 0.85856 1.11257 29.6% - 0s
0 0 1.10927 0 101 0.85856 1.10927 29.2% - 0s
0 0 1.10912 0 103 0.85856 1.10912 29.2% - 0s
0 0 1.10867 0 104 0.85856 1.10867 29.1% - 0s
0 0 1.10866 0 103 0.85856 1.10866 29.1% - 0s
0 0 1.10856 0 105 0.85856 1.10856 29.1% - 0s
0 0 1.10856 0 90 0.85856 1.10856 29.1% - 0s
0 2 1.10856 0 88 0.85856 1.10856 29.1% - 0s
1191 541 cutoff 44 0.85856 0.97671 13.8% 16.9 5s
4102 1258 0.91351 35 74 0.85856 0.94428 10.0% 16.1 10s
H 6041 1578 0.8627477 0.93169 7.99% 16.9 14s
6453 1625 0.90321 35 79 0.86275 0.92942 7.73% 17.0 15s
H 7544 1812 0.8627477 0.92395 7.09% 17.4 18s
8285 1888 infeasible 38 0.86275 0.92038 6.68% 17.7 20s
11346 2585 cutoff 49 0.86275 0.91304 5.83% 17.5 25s
15515 3827 cutoff 79 0.86275 0.90831 5.28% 16.6 30s
18765 4594 cutoff 54 0.86275 0.90548 4.95% 16.6 35s
20617 4830 0.88531 45 70 0.86275 0.90401 4.78% 16.7 48s
21847 4945 0.89277 48 101 0.86275 0.90292 4.66% 17.0 50s
23541 4922 infeasible 72 0.86275 0.90122 4.46% 18.1 55s
25129 4881 0.89943 72 50 0.86275 0.89957 4.27% 19.0 60s
26861 4801 infeasible 61 0.86275 0.89829 4.12% 19.9 65s
28387 4823 0.88282 44 85 0.86275 0.89725 4.00% 20.6 70s
29588 4750 cutoff 67 0.86275 0.89602 3.86% 21.1 75s
31424 4619 cutoff 37 0.86275 0.89389 3.61% 21.8 80s
33459 4474 cutoff 56 0.86275 0.89165 3.35% 22.3 85s
35412 4187 cutoff 58 0.86275 0.88935 3.08% 22.8 90s
36871 3895 cutoff 63 0.86275 0.88731 2.85% 23.2 95s
38813 3460 cutoff 74 0.86275 0.88437 2.51% 23.6 100s
40569 2908 cutoff 47 0.86275 0.88105 2.12% 23.9 105s
42328 2224 0.87661 59 46 0.86275 0.87736 1.69% 24.2 110s
44063 1431 cutoff 57 0.86275 0.87339 1.23% 24.4 115s
Cutting planes:
Gomory: 91
Cover: 2
Implied bound: 38
Projected implied bound: 30
Clique: 2
MIR: 31
Flow cover: 107
Inf proof: 230
Explored 45102 nodes (1101439 simplex iterations) in 117.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.862748 0.862748 0.85856
Optimal solution found (tolerance 1.00e-02)
Best objective 8.627477431646e-01, best bound 8.707132659205e-01, gap 0.9233%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6rgi4qbd.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn9p0xmaj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.857268
Presolve removed 536 rows and 348 columns
Presolve time: 0.03s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.194017e+00, 781 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19402 0 66 0.85727 1.19402 39.3% - 0s
0 0 1.12408 0 109 0.85727 1.12408 31.1% - 0s
0 0 1.12408 0 109 0.85727 1.12408 31.1% - 0s
0 0 1.10094 0 106 0.85727 1.10094 28.4% - 0s
0 0 1.10087 0 106 0.85727 1.10087 28.4% - 0s
0 0 1.09938 0 109 0.85727 1.09938 28.2% - 0s
0 0 1.09938 0 109 0.85727 1.09938 28.2% - 0s
0 0 1.09898 0 109 0.85727 1.09898 28.2% - 0s
0 0 1.09865 0 109 0.85727 1.09865 28.2% - 0s
0 0 1.09864 0 110 0.85727 1.09864 28.2% - 0s
0 0 1.09862 0 109 0.85727 1.09862 28.2% - 0s
0 0 1.09860 0 110 0.85727 1.09860 28.2% - 0s
0 0 1.09860 0 84 0.85727 1.09860 28.2% - 0s
0 2 1.09860 0 84 0.85727 1.09860 28.2% - 0s
1270 628 0.87679 32 87 0.85727 1.00839 17.6% 17.5 5s
2935 755 0.95342 30 83 0.85727 0.96579 12.7% 23.2 10s
5257 1319 0.92115 36 77 0.85727 0.94679 10.4% 23.4 15s
6978 1585 0.89028 35 87 0.85727 0.93481 9.05% 24.5 20s
9342 2100 cutoff 39 0.85727 0.92559 7.97% 24.5 25s
11249 2400 cutoff 56 0.85727 0.92072 7.40% 24.5 30s
13104 2829 0.88060 49 64 0.85727 0.91694 6.96% 24.2 35s
15738 3513 cutoff 59 0.85727 0.91262 6.46% 23.9 40s
18573 3955 0.89589 56 67 0.85727 0.90950 6.09% 24.0 45s
20750 4309 0.89352 37 84 0.85727 0.90677 5.77% 24.2 58s
20758 4314 0.90494 44 136 0.85727 0.90677 5.77% 24.2 61s
20768 4321 0.86998 53 145 0.85727 0.90677 5.77% 24.2 65s
20775 4326 0.90611 32 154 0.85727 0.90677 5.77% 24.2 70s
20783 4331 0.90221 56 156 0.85727 0.90677 5.77% 24.1 75s
20789 4335 0.87618 46 155 0.85727 0.90677 5.77% 24.1 80s
20797 4340 0.87523 37 169 0.85727 0.90677 5.77% 24.1 85s
20807 4347 0.86950 44 167 0.85727 0.90677 5.77% 24.1 90s
20817 4354 0.88168 60 156 0.85727 0.90677 5.77% 24.1 95s
20825 4359 0.90663 47 171 0.85727 0.90677 5.77% 24.1 100s
20834 4365 0.86550 54 175 0.85727 0.90677 5.77% 24.1 105s
20843 4371 0.87745 39 174 0.85727 0.90677 5.77% 24.1 110s
20851 4376 0.90279 33 176 0.85727 0.90677 5.77% 24.1 115s
20859 4382 0.87279 71 173 0.85727 0.90677 5.77% 24.1 120s
20863 4384 0.86260 39 179 0.85727 0.90677 5.77% 24.1 125s
20871 4390 0.86971 37 172 0.85727 0.90677 5.77% 24.0 130s
20879 4395 0.87442 36 180 0.85727 0.90677 5.77% 24.0 135s
H20886 4177 0.8572677 0.90677 5.77% 24.0 140s
20896 4183 0.89815 55 176 0.85727 0.90677 5.77% 24.0 145s
20903 4188 0.89966 37 171 0.85727 0.90677 5.77% 24.0 150s
20912 4194 0.88857 40 173 0.85727 0.90677 5.77% 24.0 155s
20918 4198 0.86466 70 178 0.85727 0.90677 5.77% 24.0 160s
20925 4203 0.90663 47 177 0.85727 0.90677 5.77% 24.0 165s
20935 4209 0.87851 45 177 0.85727 0.90677 5.77% 24.0 170s
20944 4215 0.87220 48 172 0.85727 0.90677 5.77% 24.0 175s
20953 4221 0.86885 47 183 0.85727 0.90677 5.77% 24.0 180s
20962 4229 0.90677 21 167 0.85727 0.90677 5.77% 25.0 186s
20967 4231 0.90677 23 164 0.85727 0.90677 5.77% 25.0 192s
21002 4240 0.90677 28 160 0.85727 0.90677 5.77% 25.2 195s
21341 4291 0.86287 117 19 0.85727 0.90677 5.77% 26.3 200s
H21364 4078 0.8572677 0.90677 5.77% 26.3 200s
21771 4133 cutoff 32 0.85727 0.90677 5.77% 27.2 205s
22305 4213 0.90242 38 157 0.85727 0.90677 5.77% 28.3 211s
H22346 4001 0.8572677 0.90677 5.77% 28.4 211s
22801 4029 0.90677 35 130 0.85727 0.90677 5.77% 29.1 215s
23296 4052 0.90677 37 127 0.85727 0.90677 5.77% 30.2 220s
23834 4089 0.86966 57 122 0.85727 0.90677 5.77% 31.2 225s
24426 4133 cutoff 33 0.85727 0.90677 5.77% 32.0 230s
24887 4159 0.86614 80 66 0.85727 0.90677 5.77% 32.8 235s
25471 4173 0.90034 38 140 0.85727 0.90677 5.77% 33.5 240s
25959 4155 cutoff 36 0.85727 0.90677 5.77% 34.3 245s
26168 4156 cutoff 41 0.85727 0.90677 5.77% 34.7 251s
26628 4139 0.90677 49 130 0.85727 0.90677 5.77% 35.3 255s
27380 4133 0.88670 48 125 0.85727 0.90677 5.77% 36.4 261s
27965 4088 0.87110 58 113 0.85727 0.90677 5.77% 37.1 265s
28554 4033 cutoff 53 0.85727 0.90677 5.77% 37.9 270s
29220 4015 0.90495 54 117 0.85727 0.90677 5.77% 38.6 276s
29882 3936 infeasible 71 0.85727 0.90670 5.77% 39.5 282s
30215 3854 0.86230 66 106 0.85727 0.90607 5.69% 40.0 285s
30859 3733 0.89440 31 127 0.85727 0.90503 5.57% 41.1 291s
31471 3604 0.86901 66 86 0.85727 0.90393 5.44% 42.1 297s
31860 3530 0.89182 62 105 0.85727 0.90339 5.38% 42.5 300s
32598 3389 0.87638 53 146 0.85727 0.90203 5.22% 43.5 307s
32949 3415 0.88169 49 103 0.85727 0.90103 5.10% 44.0 310s
33594 3469 0.87975 68 103 0.85727 0.89953 4.93% 45.1 317s
33845 3502 0.89243 36 120 0.85727 0.89900 4.87% 45.5 320s
34520 3524 cutoff 38 0.85727 0.89778 4.73% 46.6 327s
34884 3607 0.88276 65 125 0.85727 0.89709 4.65% 46.9 330s
35258 3696 cutoff 66 0.85727 0.89688 4.62% 47.3 336s
35725 3685 0.87362 64 103 0.85727 0.89579 4.49% 48.0 343s
36106 3716 cutoff 44 0.85727 0.89516 4.42% 48.4 346s
36840 3766 0.87774 44 132 0.85727 0.89382 4.26% 49.3 353s
37168 3786 0.87638 64 92 0.85727 0.89329 4.20% 49.8 356s
37541 3812 0.87557 72 92 0.85727 0.89293 4.16% 50.2 360s
38357 3909 0.88805 48 109 0.85727 0.89203 4.05% 50.9 367s
38706 3945 0.86530 36 146 0.85727 0.89093 3.93% 51.4 371s
39060 3978 cutoff 43 0.85727 0.89052 3.88% 51.8 375s
39910 4034 0.86078 72 60 0.85727 0.88935 3.74% 52.4 382s
40293 4072 0.86588 51 116 0.85727 0.88874 3.67% 52.8 386s
41125 4122 0.86348 55 96 0.85727 0.88774 3.55% 53.4 392s
41525 4134 0.87472 50 107 0.85727 0.88729 3.50% 53.7 396s
41887 4191 0.87586 52 115 0.85727 0.88673 3.44% 54.0 401s
42027 4146 cutoff 56 0.85727 0.88670 3.43% 54.2 405s
42989 4193 0.88446 45 104 0.85727 0.88559 3.30% 54.9 413s
43553 4229 0.87982 47 130 0.85727 0.88520 3.26% 55.3 417s
44036 4235 0.87423 75 82 0.85727 0.88477 3.21% 55.7 420s
44520 4247 0.87547 64 99 0.85727 0.88417 3.14% 56.0 425s
45582 4308 0.86253 50 101 0.85727 0.88332 3.04% 56.6 432s
46074 4311 0.88189 61 121 0.85727 0.88331 3.04% 56.9 436s
46576 4334 cutoff 61 0.85727 0.88259 2.95% 57.2 440s
47612 4393 cutoff 47 0.85727 0.88161 2.84% 57.6 448s
48043 4395 0.88016 55 97 0.85727 0.88116 2.79% 57.8 452s
48560 4407 0.87754 64 93 0.85727 0.88076 2.74% 58.1 455s
49389 4402 cutoff 50 0.85727 0.88002 2.65% 58.5 461s
49880 4425 0.86505 65 79 0.85727 0.87977 2.63% 58.7 465s
50836 4434 cutoff 59 0.85727 0.87895 2.53% 59.0 471s
51636 4340 0.87610 55 102 0.85727 0.87807 2.43% 59.4 477s
52438 4343 cutoff 51 0.85727 0.87739 2.35% 59.6 482s
53155 4274 0.86695 47 109 0.85727 0.87670 2.27% 59.9 487s
53576 4263 cutoff 63 0.85727 0.87634 2.23% 60.0 490s
54565 4312 cutoff 64 0.85727 0.87565 2.14% 60.0 496s
55394 4241 cutoff 48 0.85727 0.87512 2.08% 60.2 500s
56110 4167 infeasible 54 0.85727 0.87435 1.99% 60.3 505s
56815 4189 cutoff 77 0.85727 0.87379 1.93% 60.3 512s
56898 4107 0.86567 55 109 0.85727 0.87364 1.91% 60.3 515s
57812 3968 0.86320 61 113 0.85727 0.87287 1.82% 60.7 521s
58440 3861 cutoff 52 0.85727 0.87214 1.73% 60.8 525s
59227 3694 infeasible 52 0.85727 0.87129 1.64% 60.9 531s
59863 3622 cutoff 62 0.85727 0.87077 1.58% 60.9 535s
60613 3467 cutoff 62 0.85727 0.87004 1.49% 61.0 540s
61552 3354 0.86316 49 92 0.85727 0.86934 1.41% 61.0 546s
62337 3220 0.85982 83 68 0.85727 0.86865 1.33% 61.0 550s
63032 3047 cutoff 73 0.85727 0.86787 1.24% 61.1 555s
63830 2786 0.86687 57 105 0.85727 0.86691 1.12% 61.1 560s
Cutting planes:
Gomory: 194
Cover: 6
Implied bound: 26
Projected implied bound: 25
Clique: 2
MIR: 189
StrongCG: 2
Flow cover: 536
Inf proof: 149
Zero half: 2
Explored 64821 nodes (3959211 simplex iterations) in 564.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.857268 0.857268 0.857268 0.857268
Optimal solution found (tolerance 1.00e-02)
Best objective 8.572677064117e-01, best bound 8.656864437258e-01, gap 0.9820%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7mu2nab_.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8wlpk8_5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.854986
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.179893e+00, 794 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17989 0 67 0.85499 1.17989 38.0% - 0s
0 0 1.11574 0 104 0.85499 1.11574 30.5% - 0s
0 0 1.11574 0 104 0.85499 1.11574 30.5% - 0s
0 0 1.09259 0 103 0.85499 1.09259 27.8% - 0s
0 0 1.09252 0 103 0.85499 1.09252 27.8% - 0s
0 0 1.09057 0 108 0.85499 1.09057 27.6% - 0s
0 0 1.09054 0 105 0.85499 1.09054 27.6% - 0s
0 0 1.09015 0 107 0.85499 1.09015 27.5% - 0s
0 0 1.09006 0 109 0.85499 1.09006 27.5% - 0s
0 0 1.09005 0 109 0.85499 1.09005 27.5% - 0s
0 0 1.09005 0 86 0.85499 1.09005 27.5% - 0s
0 2 1.09005 0 86 0.85499 1.09005 27.5% - 0s
1049 534 cutoff 70 0.85499 0.98299 15.0% 18.1 5s
H 2720 719 0.8549856 0.95232 11.4% 22.0 9s
2736 707 infeasible 29 0.85499 0.95182 11.3% 22.0 10s
4712 1015 cutoff 30 0.85499 0.92655 8.37% 21.7 15s
6887 1466 infeasible 34 0.85499 0.91785 7.35% 21.1 20s
9454 1742 0.87132 69 50 0.85499 0.90650 6.02% 21.3 25s
11407 2134 cutoff 65 0.85499 0.90106 5.39% 20.9 30s
14267 2594 0.88828 56 56 0.85499 0.89434 4.60% 20.5 35s
16597 2902 cutoff 46 0.85499 0.89109 4.22% 20.2 40s
19902 3093 0.88513 32 92 0.85499 0.88533 3.55% 19.9 45s
22699 3079 cutoff 49 0.85499 0.88158 3.11% 19.7 58s
23488 3111 cutoff 35 0.85499 0.88068 3.01% 19.7 60s
25963 2991 cutoff 59 0.85499 0.87815 2.71% 19.8 65s
28534 2684 0.87212 51 66 0.85499 0.87475 2.31% 20.2 70s
30624 2284 0.87113 55 62 0.85499 0.87188 1.98% 20.4 75s
32897 1774 cutoff 54 0.85499 0.86850 1.58% 20.5 80s
Cutting planes:
Gomory: 102
Cover: 2
Implied bound: 31
Projected implied bound: 34
Clique: 1
MIR: 24
Flow cover: 104
Inf proof: 195
Explored 35535 nodes (719836 simplex iterations) in 84.72 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.854986 0.854986
Optimal solution found (tolerance 1.00e-02)
Best objective 8.549856190598e-01, best bound 8.632464370766e-01, gap 0.9662%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo5udi24w.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpryow1qsp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.839462
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.150569e+00, 857 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15057 0 68 0.83946 1.15057 37.1% - 0s
0 0 1.09161 0 104 0.83946 1.09161 30.0% - 0s
0 0 1.09161 0 104 0.83946 1.09161 30.0% - 0s
0 0 1.06883 0 97 0.83946 1.06883 27.3% - 0s
0 0 1.06840 0 93 0.83946 1.06840 27.3% - 0s
0 0 1.06655 0 104 0.83946 1.06655 27.1% - 0s
0 0 1.06631 0 103 0.83946 1.06631 27.0% - 0s
0 0 1.06596 0 106 0.83946 1.06596 27.0% - 0s
0 0 1.06587 0 106 0.83946 1.06587 27.0% - 0s
0 0 1.06586 0 106 0.83946 1.06586 27.0% - 0s
0 0 1.06586 0 85 0.83946 1.06586 27.0% - 0s
0 2 1.06586 0 85 0.83946 1.06586 27.0% - 0s
1161 621 0.90269 17 111 0.83946 0.96186 14.6% 19.1 5s
3185 663 0.89350 28 83 0.83946 0.89972 7.18% 21.2 10s
5939 1466 0.85651 58 64 0.83946 0.88834 5.82% 18.9 15s
H 6099 1504 0.8394619 0.88828 5.82% 18.7 15s
9605 2513 0.85303 60 82 0.83946 0.88098 4.95% 17.3 20s
11975 3096 0.85625 45 58 0.83946 0.87765 4.55% 17.0 25s
15020 3561 0.85843 64 62 0.83946 0.87428 4.15% 17.4 30s
18055 3934 cutoff 53 0.83946 0.87134 3.80% 17.8 35s
19954 4022 0.84962 43 97 0.83946 0.86950 3.58% 18.3 40s
20673 4061 cutoff 42 0.83946 0.86883 3.50% 18.4 49s
21010 4050 cutoff 40 0.83946 0.86824 3.43% 18.5 50s
23176 3996 cutoff 51 0.83946 0.86616 3.18% 19.4 55s
25410 3858 0.84588 58 68 0.83946 0.86368 2.88% 20.3 60s
27518 3491 cutoff 46 0.83946 0.86082 2.54% 21.0 65s
29914 3042 cutoff 63 0.83946 0.85767 2.17% 21.6 70s
31901 2643 0.84718 46 52 0.83946 0.85539 1.90% 21.9 75s
34328 1913 0.84118 74 53 0.83946 0.85153 1.44% 22.1 80s
Cutting planes:
Gomory: 105
Cover: 3
Implied bound: 29
Projected implied bound: 35
Clique: 1
MIR: 20
Flow cover: 86
Inf proof: 213
Explored 36251 nodes (803079 simplex iterations) in 83.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.839462 0.839462
Optimal solution found (tolerance 1.00e-02)
Best objective 8.394619127830e-01, best bound 8.474557918189e-01, gap 0.9523%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnt6e47gq.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo4e_1zwp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.838389
Presolve removed 578 rows and 375 columns
Presolve time: 0.03s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.139994e+00, 890 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13999 0 71 0.83839 1.13999 36.0% - 0s
0 0 1.08839 0 109 0.83839 1.08839 29.8% - 0s
0 0 1.08839 0 109 0.83839 1.08839 29.8% - 0s
0 0 1.06507 0 108 0.83839 1.06507 27.0% - 0s
0 0 1.06500 0 108 0.83839 1.06500 27.0% - 0s
0 0 1.06302 0 111 0.83839 1.06302 26.8% - 0s
0 0 1.06263 0 114 0.83839 1.06263 26.7% - 0s
0 0 1.06255 0 114 0.83839 1.06255 26.7% - 0s
0 0 1.06243 0 114 0.83839 1.06243 26.7% - 0s
0 0 1.06243 0 89 0.83839 1.06243 26.7% - 0s
0 2 1.06243 0 89 0.83839 1.06243 26.7% - 0s
1242 670 0.88626 40 75 0.83839 0.94191 12.3% 18.5 5s
2848 844 0.84067 29 86 0.83839 0.92952 10.9% 26.2 10s
5041 1215 0.87600 38 79 0.83839 0.90554 8.01% 26.2 15s
H 5544 1331 0.8383895 0.90230 7.62% 25.7 16s
7958 1824 cutoff 43 0.83839 0.89333 6.55% 23.2 20s
11723 2677 0.86821 52 60 0.83839 0.88371 5.41% 20.6 25s
14608 3312 cutoff 73 0.83839 0.87940 4.89% 19.4 30s
17815 3483 0.84691 61 58 0.83839 0.87494 4.36% 19.0 35s
20272 3538 cutoff 52 0.83839 0.87169 3.97% 18.6 40s
21076 3547 cutoff 57 0.83839 0.87087 3.87% 18.5 51s
22991 3519 cutoff 53 0.83839 0.86863 3.61% 18.7 55s
25693 3477 cutoff 61 0.83839 0.86590 3.28% 19.2 60s
28435 3417 cutoff 61 0.83839 0.86357 3.00% 19.7 65s
31163 3194 0.85307 59 55 0.83839 0.86097 2.69% 20.1 70s
33329 2991 cutoff 56 0.83839 0.85899 2.46% 20.2 75s
36215 2582 cutoff 30 0.83839 0.85590 2.09% 20.3 80s
38667 2081 0.85029 67 82 0.83839 0.85297 1.74% 20.3 85s
40889 1600 infeasible 68 0.83839 0.84970 1.35% 20.3 90s
Cutting planes:
Gomory: 71
Cover: 1
Implied bound: 21
Projected implied bound: 15
Clique: 1
MIR: 14
Flow cover: 81
Inf proof: 11
Explored 42554 nodes (860008 simplex iterations) in 92.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.838389 0.838389
Optimal solution found (tolerance 1.00e-02)
Best objective 8.383894662016e-01, best bound 8.464136413835e-01, gap 0.9571%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzxhqil4b.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprkozh52z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.824413
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.116298e+00, 927 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11630 0 72 0.82441 1.11630 35.4% - 0s
0 0 1.06968 0 113 0.82441 1.06968 29.8% - 0s
0 0 1.06968 0 113 0.82441 1.06968 29.8% - 0s
0 0 1.04406 0 108 0.82441 1.04406 26.6% - 0s
0 0 1.04360 0 112 0.82441 1.04360 26.6% - 0s
0 0 1.04145 0 120 0.82441 1.04145 26.3% - 0s
0 0 1.04144 0 120 0.82441 1.04144 26.3% - 0s
0 0 1.04103 0 120 0.82441 1.04103 26.3% - 0s
0 0 1.04094 0 122 0.82441 1.04094 26.3% - 0s
0 0 1.04093 0 122 0.82441 1.04093 26.3% - 0s
0 0 1.04093 0 122 0.82441 1.04093 26.3% - 0s
0 0 1.04093 0 97 0.82441 1.04093 26.3% - 0s
0 2 1.04093 0 97 0.82441 1.04093 26.3% - 0s
1008 645 0.85989 70 76 0.82441 0.94012 14.0% 18.5 5s
2802 824 0.89800 31 87 0.82441 0.90961 10.3% 20.9 10s
H 4693 1391 0.8244126 0.89743 8.86% 21.9 14s
4816 1396 cutoff 35 0.82441 0.89594 8.68% 22.2 15s
H 5882 1498 0.8244126 0.89082 8.06% 24.4 18s
6570 1572 0.88424 36 99 0.82441 0.88760 7.67% 25.2 20s
8221 1831 0.85093 77 75 0.82441 0.88235 7.03% 26.3 25s
9936 2114 infeasible 45 0.82441 0.87761 6.45% 26.2 30s
12008 2388 0.86121 45 98 0.82441 0.87427 6.05% 25.9 35s
14259 2646 infeasible 56 0.82441 0.87091 5.64% 25.9 40s
16726 2752 0.85002 73 74 0.82441 0.86721 5.19% 26.1 45s
18679 2750 cutoff 58 0.82441 0.86264 4.64% 26.3 51s
H18683 2750 0.8244127 0.86264 4.64% 26.3 51s
20234 2631 0.85953 61 88 0.82441 0.85955 4.26% 26.5 55s
22362 2564 0.82731 45 87 0.82441 0.85477 3.68% 26.6 60s
23261 2574 cutoff 53 0.82441 0.85347 3.52% 26.5 74s
23588 2551 0.84586 52 103 0.82441 0.85238 3.39% 26.6 75s
25556 2281 0.83907 63 71 0.82441 0.84774 2.83% 27.1 80s
27539 2062 infeasible 70 0.82441 0.84420 2.40% 27.4 85s
29263 1948 cutoff 66 0.82441 0.84022 1.92% 27.6 90s
31698 1779 0.83172 84 53 0.82441 0.83601 1.41% 27.3 95s
34141 1675 infeasible 85 0.82441 0.83275 1.01% 26.7 100s
Cutting planes:
Gomory: 127
Cover: 4
Implied bound: 37
Projected implied bound: 30
Clique: 1
MIR: 32
Flow cover: 109
Inf proof: 217
Explored 34543 nodes (920169 simplex iterations) in 100.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.824413 0.824413 0.824413 0.824413
Optimal solution found (tolerance 1.00e-02)
Best objective 8.244126449482e-01, best bound 8.324160452395e-01, gap 0.9708%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptve_8x9y.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplap6hseb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.803302
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.087626e+00, 896 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08763 0 73 0.80330 1.08763 35.4% - 0s
0 0 1.04213 0 117 0.80330 1.04213 29.7% - 0s
0 0 1.04213 0 117 0.80330 1.04213 29.7% - 0s
0 0 1.01620 0 110 0.80330 1.01620 26.5% - 0s
0 0 1.01596 0 112 0.80330 1.01596 26.5% - 0s
0 0 1.01417 0 120 0.80330 1.01417 26.3% - 0s
0 0 1.01417 0 122 0.80330 1.01417 26.3% - 0s
0 0 1.01354 0 120 0.80330 1.01354 26.2% - 0s
0 0 1.01346 0 121 0.80330 1.01346 26.2% - 0s
0 0 1.01323 0 121 0.80330 1.01323 26.1% - 0s
0 0 1.01323 0 121 0.80330 1.01323 26.1% - 0s
0 0 1.01323 0 94 0.80330 1.01323 26.1% - 0s
0 2 1.01323 0 94 0.80330 1.01323 26.1% - 0s
925 518 cutoff 20 0.80330 0.91578 14.0% 21.4 5s
2729 616 cutoff 38 0.80330 0.87660 9.12% 22.4 10s
4767 1111 0.83898 37 95 0.80330 0.85992 7.05% 22.0 15s
6724 1627 infeasible 34 0.80330 0.85237 6.11% 21.8 20s
9510 2441 0.81288 65 64 0.80330 0.84652 5.38% 21.3 25s
11843 2780 cutoff 50 0.80330 0.84384 5.05% 21.4 30s
H12952 2875 0.8033020 0.84158 4.77% 21.7 33s
13309 2885 0.83014 55 86 0.80330 0.84071 4.66% 21.8 35s
15293 2921 cutoff 68 0.80330 0.83773 4.29% 22.0 40s
17726 2957 infeasible 68 0.80330 0.83479 3.92% 22.4 45s
19925 2955 cutoff 70 0.80330 0.83228 3.61% 22.6 50s
21067 2966 0.82213 59 67 0.80330 0.83107 3.46% 22.8 65s
23094 2889 0.82040 67 67 0.80330 0.82854 3.14% 23.5 70s
25124 2723 cutoff 53 0.80330 0.82580 2.80% 24.2 75s
26998 2465 0.81201 54 92 0.80330 0.82317 2.47% 25.0 80s
29115 2272 0.81122 59 80 0.80330 0.82096 2.20% 25.4 85s
30738 2016 0.81850 53 89 0.80330 0.81861 1.91% 25.7 90s
32746 1658 cutoff 58 0.80330 0.81532 1.50% 25.8 95s
35123 1231 cutoff 71 0.80330 0.81134 1.00% 25.7 100s
Cutting planes:
Gomory: 126
Cover: 4
Implied bound: 37
Projected implied bound: 33
Clique: 1
MIR: 27
Flow cover: 113
Inf proof: 188
Explored 35429 nodes (908199 simplex iterations) in 100.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.803302 0.803302
Optimal solution found (tolerance 1.00e-02)
Best objective 8.033019820628e-01, best bound 8.112543212815e-01, gap 0.9900%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa6stwj3z.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1ks1onte.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.803768
Presolve removed 620 rows and 402 columns
Presolve time: 0.04s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.081929e+00, 965 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08193 0 84 0.80377 1.08193 34.6% - 0s
0 0 1.04446 0 120 0.80377 1.04446 29.9% - 0s
0 0 1.04446 0 120 0.80377 1.04446 29.9% - 0s
0 0 1.01453 0 119 0.80377 1.01453 26.2% - 0s
0 0 1.01442 0 119 0.80377 1.01442 26.2% - 0s
0 0 1.01332 0 126 0.80377 1.01332 26.1% - 0s
0 0 1.01331 0 125 0.80377 1.01331 26.1% - 0s
0 0 1.01272 0 123 0.80377 1.01272 26.0% - 0s
0 0 1.01272 0 123 0.80377 1.01272 26.0% - 0s
0 0 1.01272 0 125 0.80377 1.01272 26.0% - 0s
0 0 1.01272 0 125 0.80377 1.01272 26.0% - 0s
0 0 1.01272 0 125 0.80377 1.01272 26.0% - 0s
0 0 1.01272 0 96 0.80377 1.01272 26.0% - 0s
0 2 1.01272 0 96 0.80377 1.01272 26.0% - 0s
805 541 0.92324 20 104 0.80377 0.93600 16.5% 20.9 5s
1788 654 0.88495 23 92 0.80377 0.93600 16.5% 30.9 10s
2862 616 cutoff 41 0.80377 0.90779 12.9% 38.4 15s
4122 860 cutoff 52 0.80377 0.89368 11.2% 39.8 20s
5713 1139 cutoff 24 0.80377 0.87772 9.20% 38.0 25s
H 6791 1496 0.8037680 0.87485 8.84% 35.8 27s
7535 1660 0.82049 38 79 0.80377 0.87225 8.52% 35.3 30s
9616 2274 0.82728 40 76 0.80377 0.86624 7.77% 32.7 35s
H 9804 2342 0.8037680 0.86604 7.75% 32.5 35s
12213 3275 0.81140 51 83 0.80377 0.86201 7.25% 30.3 40s
14121 3738 infeasible 49 0.80377 0.85951 6.94% 29.7 45s
15788 4177 infeasible 50 0.80377 0.85788 6.73% 29.4 50s
18157 4764 0.82687 40 90 0.80377 0.85562 6.45% 29.1 55s
20308 5313 cutoff 46 0.80377 0.85430 6.29% 28.8 60s
20856 5446 0.84051 45 96 0.80377 0.85405 6.26% 28.7 74s
20859 5448 0.84830 37 113 0.80377 0.85405 6.26% 28.7 75s
20868 5454 0.80800 50 156 0.80377 0.85405 6.26% 28.7 81s
20872 5457 0.83431 44 156 0.80377 0.85405 6.26% 28.7 85s
20878 5461 0.82971 72 174 0.80377 0.85405 6.26% 28.7 91s
20882 5463 0.82518 64 174 0.80377 0.85405 6.26% 28.7 95s
20888 5467 0.82194 69 177 0.80377 0.85405 6.26% 28.7 100s
20893 5471 0.84014 54 189 0.80377 0.85405 6.26% 28.7 105s
20897 5473 0.81630 49 177 0.80377 0.85405 6.26% 28.7 110s
20903 5477 0.83173 41 188 0.80377 0.85405 6.26% 28.7 115s
20909 5481 0.82510 54 190 0.80377 0.85405 6.26% 28.6 120s
20916 5486 0.82686 32 180 0.80377 0.85405 6.26% 28.6 125s
20920 5489 0.85101 52 173 0.80377 0.85405 6.26% 28.6 130s
20926 5493 0.80768 78 174 0.80377 0.85405 6.26% 28.6 135s
20932 5497 0.83993 59 173 0.80377 0.85405 6.26% 28.6 141s
20937 5500 0.82287 53 181 0.80377 0.85405 6.26% 28.6 145s
20943 5506 0.85405 22 177 0.80377 0.85405 6.26% 29.3 152s
20945 5508 0.85405 23 169 0.80377 0.85405 6.26% 29.3 155s
20956 5507 0.85405 25 174 0.80377 0.85405 6.26% 29.4 160s
21068 5532 0.84185 48 117 0.80377 0.85405 6.26% 29.7 165s
21377 5578 0.82087 38 140 0.80377 0.85405 6.26% 30.1 170s
21834 5574 0.85405 37 150 0.80377 0.85405 6.26% 31.1 175s
22283 5568 0.80481 61 116 0.80377 0.85405 6.26% 32.2 180s
22557 5531 cutoff 39 0.80377 0.85405 6.26% 32.9 185s
23059 5514 0.85405 44 132 0.80377 0.85405 6.26% 33.8 190s
23659 5409 cutoff 39 0.80377 0.85405 6.26% 35.2 195s
24192 5374 0.82620 36 141 0.80377 0.85405 6.26% 36.2 200s
24842 5347 cutoff 52 0.80377 0.85335 6.17% 37.5 205s
25537 5387 cutoff 48 0.80377 0.85181 5.98% 38.3 210s
25854 5351 0.82655 45 136 0.80377 0.85093 5.87% 39.1 215s
26084 5313 0.84642 44 127 0.80377 0.85019 5.78% 39.5 220s
26592 5318 0.83207 62 117 0.80377 0.84889 5.61% 40.2 227s
26932 5327 cutoff 37 0.80377 0.84840 5.55% 40.5 232s
27238 5328 0.83682 37 148 0.80377 0.84802 5.51% 40.9 235s
27737 5292 cutoff 48 0.80377 0.84648 5.31% 41.8 241s
28029 5256 cutoff 59 0.80377 0.84562 5.21% 42.2 245s
28537 5226 0.82321 67 102 0.80377 0.84459 5.08% 42.8 253s
28568 5196 0.82799 39 129 0.80377 0.84453 5.07% 42.9 256s
29200 5085 cutoff 42 0.80377 0.84332 4.92% 43.9 262s
29430 5068 cutoff 57 0.80377 0.84253 4.82% 44.3 265s
30025 4919 0.81403 42 148 0.80377 0.84176 4.73% 45.6 272s
30361 4843 0.81835 52 115 0.80377 0.84125 4.66% 46.2 275s
31177 4698 cutoff 57 0.80377 0.84029 4.54% 47.3 282s
31673 4637 cutoff 43 0.80377 0.83941 4.43% 47.8 285s
32448 4517 0.80842 39 131 0.80377 0.83836 4.30% 48.7 293s
32795 4422 0.80972 56 146 0.80377 0.83782 4.24% 49.2 297s
33213 4313 0.82788 42 120 0.80377 0.83728 4.17% 49.8 301s
33620 4237 0.82515 55 107 0.80377 0.83701 4.14% 50.3 305s
34371 4096 0.83684 62 99 0.80377 0.83684 4.11% 51.4 313s
34840 4041 cutoff 40 0.80377 0.83636 4.05% 51.8 316s
35224 3940 0.80609 42 132 0.80377 0.83608 4.02% 52.1 320s
36155 3817 0.80756 65 98 0.80377 0.83548 3.94% 52.7 327s
36522 3719 cutoff 52 0.80377 0.83547 3.94% 53.2 330s
37434 3545 cutoff 60 0.80377 0.83457 3.83% 53.9 337s
37845 3574 0.83170 62 111 0.80377 0.83405 3.77% 54.3 341s
38518 3613 0.81197 48 149 0.80377 0.83332 3.68% 55.2 348s
38861 3629 cutoff 61 0.80377 0.83290 3.62% 55.7 352s
39291 3681 0.82305 60 83 0.80377 0.83273 3.60% 56.0 355s
40285 3882 cutoff 61 0.80377 0.83192 3.50% 56.5 363s
40712 3947 cutoff 64 0.80377 0.83143 3.44% 56.7 366s
41097 3961 0.81144 50 114 0.80377 0.83111 3.40% 57.1 370s
41899 3994 cutoff 63 0.80377 0.83072 3.35% 57.8 376s
42318 4032 cutoff 38 0.80377 0.83046 3.32% 58.1 380s
43198 4086 0.82836 64 127 0.80377 0.82951 3.20% 58.6 386s
43558 4079 cutoff 45 0.80377 0.82927 3.17% 59.0 390s
44404 4118 0.82088 53 97 0.80377 0.82895 3.13% 59.6 396s
44848 4139 0.81490 52 104 0.80377 0.82855 3.08% 59.9 400s
45653 4165 0.80739 68 113 0.80377 0.82763 2.97% 60.4 407s
46108 4184 0.81221 60 113 0.80377 0.82738 2.94% 60.6 410s
46829 4189 0.81178 54 116 0.80377 0.82673 2.86% 61.1 417s
47264 4183 cutoff 46 0.80377 0.82656 2.84% 61.3 420s
48089 4176 0.80677 59 102 0.80377 0.82576 2.74% 61.8 427s
48464 4152 0.81475 60 145 0.80377 0.82527 2.68% 62.1 430s
49130 4116 0.82326 61 116 0.80377 0.82467 2.60% 62.6 436s
49470 4071 cutoff 65 0.80377 0.82434 2.56% 63.0 440s
49857 4122 infeasible 56 0.80377 0.82397 2.51% 63.2 446s
49872 4045 0.81317 66 63 0.80377 0.82377 2.49% 63.3 450s
50836 4142 cutoff 51 0.80377 0.82327 2.43% 63.5 456s
51258 4144 infeasible 47 0.80377 0.82290 2.38% 63.7 460s
52072 4094 0.80463 67 89 0.80377 0.82240 2.32% 64.1 466s
52844 4094 0.81424 55 113 0.80377 0.82165 2.23% 64.4 472s
53250 4058 cutoff 49 0.80377 0.82149 2.21% 64.5 475s
53950 4004 cutoff 41 0.80377 0.82108 2.15% 64.8 482s
54542 3910 cutoff 40 0.80377 0.82032 2.06% 65.2 487s
54871 3867 cutoff 62 0.80377 0.82007 2.03% 65.4 490s
55610 3797 0.80757 57 110 0.80377 0.81948 1.96% 65.6 496s
56394 3755 0.80926 48 132 0.80377 0.81882 1.87% 65.7 502s
56714 3724 cutoff 59 0.80377 0.81853 1.84% 65.8 505s
57390 3656 0.80997 41 142 0.80377 0.81800 1.77% 66.0 512s
58075 3612 cutoff 65 0.80377 0.81746 1.70% 66.1 517s
58848 3610 0.81524 56 108 0.80377 0.81695 1.64% 66.1 522s
59206 3604 infeasible 72 0.80377 0.81667 1.60% 66.2 525s
60245 3514 cutoff 51 0.80377 0.81592 1.51% 66.2 531s
60837 3464 infeasible 56 0.80377 0.81550 1.46% 66.1 536s
61540 3429 0.80841 39 131 0.80377 0.81493 1.39% 66.1 541s
62252 3239 infeasible 64 0.80377 0.81421 1.30% 66.1 546s
62849 3138 0.81067 58 109 0.80377 0.81374 1.24% 66.1 550s
63906 3105 cutoff 55 0.80377 0.81309 1.16% 65.8 556s
64861 3056 cutoff 44 0.80377 0.81251 1.09% 65.5 560s
65893 3051 cutoff 72 0.80377 0.81189 1.01% 65.1 565s
Cutting planes:
Learned: 1
Gomory: 245
Cover: 8
Implied bound: 48
Projected implied bound: 48
Clique: 2
MIR: 195
StrongCG: 1
Flow cover: 567
Inf proof: 202
Explored 66250 nodes (4305369 simplex iterations) in 565.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.803768 0.803768 0.803768
Optimal solution found (tolerance 1.00e-02)
Best objective 8.037680211827e-01, best bound 8.117139521377e-01, gap 0.9886%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyiil2nlu.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj1dodz4g.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.795612
Presolve removed 634 rows and 411 columns
Presolve time: 0.04s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.064070e+00, 932 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06407 0 85 0.79561 1.06407 33.7% - 0s
0 0 1.02636 0 122 0.79561 1.02636 29.0% - 0s
0 0 1.02630 0 122 0.79561 1.02630 29.0% - 0s
0 0 1.00432 0 114 0.79561 1.00432 26.2% - 0s
0 0 1.00426 0 112 0.79561 1.00426 26.2% - 0s
0 0 1.00268 0 129 0.79561 1.00268 26.0% - 0s
0 0 1.00248 0 127 0.79561 1.00248 26.0% - 0s
0 0 1.00184 0 127 0.79561 1.00184 25.9% - 0s
0 0 1.00184 0 129 0.79561 1.00184 25.9% - 0s
0 0 1.00184 0 129 0.79561 1.00184 25.9% - 0s
0 0 1.00184 0 100 0.79561 1.00184 25.9% - 0s
0 2 1.00184 0 100 0.79561 1.00184 25.9% - 0s
952 602 0.86645 28 99 0.79561 0.91546 15.1% 21.4 5s
2346 668 0.85789 50 93 0.79561 0.87590 10.1% 26.7 10s
4279 1163 0.85096 38 95 0.79561 0.86184 8.32% 26.1 15s
6576 1772 0.81104 51 84 0.79561 0.85161 7.04% 26.1 20s
8655 2209 0.82433 45 110 0.79561 0.84658 6.41% 25.9 25s
10401 2640 cutoff 47 0.79561 0.84275 5.93% 25.7 30s
12493 3001 cutoff 59 0.79561 0.83833 5.37% 25.7 35s
H12976 3093 0.7956125 0.83778 5.30% 25.7 36s
14553 3263 cutoff 57 0.79561 0.83494 4.94% 25.7 40s
16767 3594 0.82183 62 93 0.79561 0.83140 4.50% 25.7 45s
18219 3779 0.80771 66 99 0.79561 0.82959 4.27% 25.6 50s
20219 4006 cutoff 52 0.79561 0.82789 4.06% 25.6 55s
21024 4180 0.79883 52 100 0.79561 0.82693 3.94% 25.6 70s
21037 4189 0.81355 63 175 0.79561 0.82693 3.94% 25.5 75s
21044 4193 0.80315 59 190 0.79561 0.82693 3.94% 25.5 80s
21052 4199 0.82111 55 184 0.79561 0.82693 3.94% 25.5 85s
21060 4204 0.80559 59 182 0.79561 0.82693 3.94% 25.5 90s
21068 4209 0.81166 47 192 0.79561 0.82693 3.94% 25.5 95s
21076 4215 0.82252 69 194 0.79561 0.82693 3.94% 25.5 100s
21085 4221 0.81767 65 198 0.79561 0.82693 3.94% 25.5 105s
21092 4225 0.80639 70 192 0.79561 0.82693 3.94% 25.5 110s
21101 4231 0.82461 51 193 0.79561 0.82693 3.94% 25.5 115s
21109 4237 0.79870 105 185 0.79561 0.82693 3.94% 25.5 120s
21117 4242 0.79705 89 186 0.79561 0.82693 3.94% 25.4 125s
21125 4247 0.79773 84 180 0.79561 0.82693 3.94% 25.4 130s
21133 4253 0.82641 57 182 0.79561 0.82693 3.94% 25.4 135s
21138 4256 0.82270 50 190 0.79561 0.82693 3.94% 25.4 140s
21144 4260 0.80315 59 180 0.79561 0.82693 3.94% 25.4 145s
21152 4265 0.82111 55 175 0.79561 0.82693 3.94% 25.4 150s
21158 4269 0.81130 66 203 0.79561 0.82693 3.94% 25.4 155s
21165 4274 0.81679 56 194 0.79561 0.82693 3.94% 25.4 160s
21172 4279 0.80145 55 194 0.79561 0.82693 3.94% 25.4 165s
21179 4283 0.82046 61 189 0.79561 0.82693 3.94% 25.4 170s
21185 4287 0.81767 65 199 0.79561 0.82693 3.94% 25.4 175s
21192 4292 0.80639 70 200 0.79561 0.82693 3.94% 25.4 180s
21201 4298 0.82461 51 187 0.79561 0.82693 3.94% 25.3 185s
21208 4303 0.82693 65 198 0.79561 0.82693 3.94% 25.3 190s
21215 4307 0.80980 71 207 0.79561 0.82693 3.94% 25.3 195s
21222 4312 0.82534 60 205 0.79561 0.82693 3.94% 25.3 200s
21230 4317 0.81633 76 210 0.79561 0.82693 3.94% 25.3 206s
21232 4322 0.82693 25 199 0.79561 0.82693 3.94% 26.5 211s
21234 4321 infeasible 26 0.79561 0.82693 3.94% 26.5 216s
21238 4319 0.82693 27 214 0.79561 0.82693 3.94% 26.6 221s
21275 4337 0.82693 31 197 0.79561 0.82693 3.94% 26.8 225s
21363 4363 cutoff 48 0.79561 0.82693 3.94% 27.1 230s
21728 4379 0.82423 44 139 0.79561 0.82693 3.94% 28.0 235s
22106 4389 0.81416 44 147 0.79561 0.82693 3.94% 29.2 240s
22592 4409 0.82693 31 179 0.79561 0.82693 3.94% 30.3 245s
22981 4434 cutoff 43 0.79561 0.82693 3.94% 31.4 250s
23533 4496 cutoff 56 0.79561 0.82693 3.94% 32.5 255s
23840 4560 0.82693 44 140 0.79561 0.82693 3.94% 32.9 262s
24156 4618 0.80838 56 118 0.79561 0.82693 3.94% 33.3 266s
24565 4631 0.80630 54 126 0.79561 0.82693 3.94% 34.1 270s
25167 4629 0.80062 57 131 0.79561 0.82693 3.94% 35.2 276s
25682 4673 cutoff 41 0.79561 0.82693 3.94% 36.2 281s
25950 4633 0.81473 44 114 0.79561 0.82693 3.94% 36.8 285s
26643 4635 0.82125 45 132 0.79561 0.82693 3.94% 37.9 291s
27090 4627 0.80945 39 147 0.79561 0.82693 3.94% 38.8 296s
27572 4657 0.80916 42 125 0.79561 0.82693 3.94% 39.5 301s
28094 4626 0.82693 67 107 0.79561 0.82693 3.94% 40.4 306s
28650 4635 0.80547 46 135 0.79561 0.82693 3.94% 41.3 311s
29286 4605 infeasible 50 0.79561 0.82693 3.94% 42.3 317s
29646 4577 0.80076 50 150 0.79561 0.82693 3.94% 42.9 320s
30349 4538 cutoff 38 0.79561 0.82693 3.94% 44.0 327s
30712 4553 0.81452 56 133 0.79561 0.82693 3.94% 44.3 330s
31389 4461 0.80730 59 114 0.79561 0.82693 3.94% 45.5 337s
31753 4424 0.80890 61 100 0.79561 0.82693 3.94% 46.2 341s
32144 4374 0.79640 56 86 0.79561 0.82693 3.94% 46.7 345s
32942 4240 0.82038 58 140 0.79561 0.82693 3.94% 47.9 352s
33334 4180 0.81369 70 118 0.79561 0.82693 3.94% 48.5 356s
33931 4125 0.81497 46 140 0.79561 0.82693 3.94% 49.3 363s
34310 4106 0.81917 41 167 0.79561 0.82693 3.94% 49.9 366s
34719 4180 0.80479 46 154 0.79561 0.82693 3.94% 50.5 370s
35538 4357 cutoff 43 0.79561 0.82693 3.94% 51.4 377s
35910 4408 cutoff 40 0.79561 0.82693 3.94% 52.0 381s
36309 4483 0.79978 47 130 0.79561 0.82693 3.94% 52.5 385s
37158 4652 infeasible 53 0.79561 0.82693 3.94% 53.3 393s
37497 4724 cutoff 50 0.79561 0.82681 3.92% 53.7 397s
37821 4760 0.81812 46 155 0.79561 0.82642 3.87% 54.3 401s
38123 4802 0.81721 46 145 0.79561 0.82614 3.84% 54.8 405s
38785 4860 0.81379 46 140 0.79561 0.82566 3.78% 55.8 412s
39115 4893 infeasible 54 0.79561 0.82556 3.76% 56.3 416s
39564 4966 0.80369 55 147 0.79561 0.82522 3.72% 56.7 421s
39938 5031 0.80019 51 133 0.79561 0.82488 3.68% 57.2 425s
40702 5120 infeasible 41 0.79561 0.82426 3.60% 58.1 432s
41115 5181 infeasible 53 0.79561 0.82399 3.57% 58.5 436s
41519 5242 0.79956 61 114 0.79561 0.82376 3.54% 58.9 440s
42232 5304 cutoff 39 0.79561 0.82321 3.47% 59.6 448s
42609 5359 0.81036 60 125 0.79561 0.82282 3.42% 60.1 452s
42960 5387 0.81944 41 146 0.79561 0.82255 3.39% 60.5 456s
43363 5427 0.80487 57 106 0.79561 0.82226 3.35% 60.9 461s
43732 5449 0.80775 53 118 0.79561 0.82202 3.32% 61.4 465s
44134 5503 0.80836 49 149 0.79561 0.82174 3.28% 61.8 472s
44211 5462 0.81390 48 113 0.79561 0.82165 3.27% 61.9 475s
44950 5489 infeasible 55 0.79561 0.82156 3.26% 62.8 483s
45388 5534 0.80497 48 137 0.79561 0.82068 3.15% 63.1 488s
45798 5561 cutoff 46 0.79561 0.82032 3.11% 63.5 492s
46155 5574 0.81451 56 153 0.79561 0.82013 3.08% 63.9 496s
46538 5588 0.80985 50 159 0.79561 0.81986 3.05% 64.3 501s
46950 5660 0.80454 57 113 0.79561 0.81986 3.05% 64.6 505s
47319 5729 cutoff 64 0.79561 0.81938 2.99% 64.9 510s
48185 5814 0.81022 60 119 0.79561 0.81894 2.93% 65.4 518s
48592 5843 0.80321 65 86 0.79561 0.81867 2.90% 65.7 522s
49044 5887 0.80275 58 140 0.79561 0.81849 2.88% 66.0 526s
49495 5953 0.81525 38 145 0.79561 0.81817 2.83% 66.3 531s
49891 5946 0.81445 46 115 0.79561 0.81799 2.81% 66.6 535s
50720 5987 0.80350 61 139 0.79561 0.81737 2.73% 67.2 543s
51085 5993 0.80839 66 95 0.79561 0.81708 2.70% 67.6 546s
51519 6021 cutoff 53 0.79561 0.81679 2.66% 67.8 551s
51866 6006 0.81584 43 115 0.79561 0.81656 2.63% 68.1 555s
52674 6019 0.80748 45 156 0.79561 0.81589 2.55% 68.7 563s
53095 6015 cutoff 60 0.79561 0.81563 2.52% 68.9 568s
53453 6008 0.81561 47 140 0.79561 0.81561 2.51% 69.3 571s
53819 5980 cutoff 47 0.79561 0.81561 2.51% 69.6 576s
54240 5974 0.79912 44 138 0.79561 0.81471 2.40% 69.8 580s
55015 5995 0.80256 69 128 0.79561 0.81416 2.33% 70.3 588s
55437 5975 0.80529 47 122 0.79561 0.81393 2.30% 70.6 592s
55817 6011 cutoff 46 0.79561 0.81381 2.29% 70.8 596s
56247 6076 cutoff 56 0.79561 0.81364 2.27% 71.0 600s
Cutting planes:
Gomory: 194
Cover: 9
Implied bound: 54
Projected implied bound: 44
Clique: 3
MIR: 206
StrongCG: 4
Flow cover: 583
Inf proof: 170
Zero half: 1
Explored 56255 nodes (3996633 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.795612 0.795612
Time limit reached
Best objective 7.956124652517e-01, best bound 8.136350096705e-01, gap 2.2652%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeqhrwb1i.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkyjmiqnu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.791456
Presolve removed 648 rows and 420 columns
Presolve time: 0.02s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.059466e+00, 946 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05947 0 86 0.79146 1.05947 33.9% - 0s
0 0 1.02636 0 116 0.79146 1.02636 29.7% - 0s
0 0 1.02630 0 116 0.79146 1.02630 29.7% - 0s
0 0 1.00238 0 116 0.79146 1.00238 26.7% - 0s
0 0 1.00012 0 119 0.79146 1.00012 26.4% - 0s
0 0 0.99944 0 129 0.79146 0.99944 26.3% - 0s
0 0 0.99944 0 126 0.79146 0.99944 26.3% - 0s
0 0 0.99866 0 125 0.79146 0.99866 26.2% - 0s
0 0 0.99866 0 127 0.79146 0.99866 26.2% - 0s
0 0 0.99866 0 104 0.79146 0.99866 26.2% - 0s
0 2 0.99866 0 104 0.79146 0.99866 26.2% - 0s
769 541 infeasible 19 0.79146 0.90939 14.9% 18.0 5s
1716 534 0.87795 24 107 0.79146 0.88741 12.1% 28.1 10s
3407 683 infeasible 29 0.79146 0.86431 9.20% 31.4 15s
5269 958 cutoff 35 0.79146 0.85126 7.56% 31.3 20s
H 5984 1102 0.7914561 0.84763 7.10% 30.9 22s
7385 1366 cutoff 38 0.79146 0.84120 6.29% 29.4 25s
9288 1824 cutoff 48 0.79146 0.83613 5.64% 27.8 30s
12552 2910 infeasible 59 0.79146 0.83123 5.03% 25.1 35s
14758 3348 0.82476 60 97 0.79146 0.82789 4.60% 24.7 40s
17223 3736 0.82145 60 85 0.79146 0.82524 4.27% 24.3 45s
18948 3946 cutoff 42 0.79146 0.82337 4.03% 24.0 50s
20551 4135 cutoff 91 0.79146 0.82170 3.82% 23.8 65s
22804 4526 0.79911 90 74 0.79146 0.81995 3.60% 23.7 70s
24909 4877 0.79917 72 83 0.79146 0.81828 3.39% 23.7 75s
26910 5171 cutoff 82 0.79146 0.81672 3.19% 23.7 80s
29177 5336 0.80378 59 97 0.79146 0.81526 3.01% 23.9 85s
30926 5334 0.79693 91 66 0.79146 0.81396 2.84% 24.0 90s
33374 5437 cutoff 52 0.79146 0.81254 2.66% 24.0 95s
35558 5480 infeasible 49 0.79146 0.81123 2.50% 24.0 100s
37605 5342 0.80440 63 74 0.79146 0.80968 2.30% 24.2 105s
38757 5262 0.80645 79 71 0.79146 0.80895 2.21% 24.3 110s
40601 4941 0.79867 64 90 0.79146 0.80740 2.01% 24.6 115s
42281 4691 0.80577 80 88 0.79146 0.80630 1.88% 24.7 120s
44353 4415 cutoff 57 0.79146 0.80473 1.68% 24.8 125s
46187 4113 cutoff 67 0.79146 0.80337 1.51% 24.9 130s
47953 3796 0.80186 55 110 0.79146 0.80199 1.33% 25.0 135s
50088 3637 cutoff 80 0.79146 0.80039 1.13% 24.8 140s
Cutting planes:
Gomory: 113
Cover: 1
Implied bound: 44
Projected implied bound: 29
Clique: 1
MIR: 38
Flow cover: 127
Inf proof: 224
Zero half: 1
Explored 51837 nodes (1280711 simplex iterations) in 143.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.791456 0.791456
Optimal solution found (tolerance 1.00e-02)
Best objective 7.914560981366e-01, best bound 7.990733782823e-01, gap 0.9624%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwxsy9gsi.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbfcwdzuu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.788229
Presolve removed 662 rows and 429 columns
Presolve time: 0.04s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.054402e+00, 996 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05440 0 91 0.78823 1.05440 33.8% - 0s
0 0 1.02328 0 132 0.78823 1.02328 29.8% - 0s
0 0 1.02322 0 132 0.78823 1.02322 29.8% - 0s
0 0 0.99971 0 119 0.78823 0.99971 26.8% - 0s
0 0 0.99751 0 121 0.78823 0.99751 26.6% - 0s
0 0 0.99602 0 140 0.78823 0.99602 26.4% - 0s
0 0 0.99545 0 140 0.78823 0.99545 26.3% - 0s
0 0 0.99545 0 140 0.78823 0.99545 26.3% - 0s
0 0 0.99544 0 140 0.78823 0.99544 26.3% - 0s
0 0 0.99544 0 114 0.78823 0.99544 26.3% - 0s
0 2 0.99544 0 114 0.78823 0.99544 26.3% - 0s
899 533 0.89967 20 107 0.78823 0.92739 17.7% 20.8 5s
2176 570 cutoff 37 0.78823 0.88401 12.2% 25.4 10s
3408 904 0.85690 30 106 0.78823 0.86171 9.32% 28.3 15s
H 4618 1105 0.7882293 0.85131 8.00% 30.2 19s
4619 1100 0.79039 33 95 0.78823 0.85126 8.00% 30.2 20s
6454 1722 cutoff 41 0.78823 0.84512 7.22% 28.9 25s
8175 2116 0.81140 39 103 0.78823 0.84071 6.66% 28.5 30s
9632 2474 0.81397 33 121 0.78823 0.83849 6.38% 28.0 35s
11400 2927 cutoff 47 0.78823 0.83552 6.00% 27.5 40s
13231 3432 0.79496 64 82 0.78823 0.83268 5.64% 26.9 45s
14880 3820 infeasible 52 0.78823 0.83074 5.39% 26.7 50s
17082 4317 0.80028 53 91 0.78823 0.82860 5.12% 26.4 55s
18238 4561 0.80039 50 90 0.78823 0.82733 4.96% 26.4 60s
19906 4962 cutoff 68 0.78823 0.82604 4.80% 26.2 65s
21096 5231 infeasible 50 0.78823 0.82504 4.67% 26.1 81s
22281 5433 0.80896 64 84 0.78823 0.82375 4.51% 26.4 85s
23175 5567 0.82156 68 98 0.78823 0.82302 4.41% 26.9 90s
24192 5779 cutoff 52 0.78823 0.82245 4.34% 27.4 95s
25431 5958 0.78859 48 110 0.78823 0.82153 4.22% 28.1 100s
26552 6182 0.80760 73 90 0.78823 0.82065 4.11% 28.5 105s
27739 6381 0.79966 72 88 0.78823 0.81985 4.01% 28.9 110s
29163 6709 0.80602 73 87 0.78823 0.81898 3.90% 29.1 115s
30544 6983 0.81422 54 126 0.78823 0.81832 3.82% 29.4 121s
31669 7240 0.79880 82 82 0.78823 0.81776 3.75% 29.4 125s
32779 7482 0.80492 63 109 0.78823 0.81717 3.67% 29.5 131s
33496 7569 0.80932 61 99 0.78823 0.81685 3.63% 29.7 135s
34576 7767 0.80635 56 107 0.78823 0.81637 3.57% 29.8 140s
35605 7968 0.79336 81 83 0.78823 0.81594 3.52% 30.0 145s
37004 8208 0.80986 49 140 0.78823 0.81544 3.45% 30.3 151s
38134 8364 0.81049 50 137 0.78823 0.81499 3.40% 30.5 155s
39461 8605 cutoff 53 0.78823 0.81462 3.35% 30.5 160s
40604 8689 0.81012 74 81 0.78823 0.81426 3.30% 30.7 165s
42328 8925 cutoff 68 0.78823 0.81369 3.23% 30.8 171s
43574 9074 cutoff 70 0.78823 0.81335 3.19% 30.9 175s
44727 9191 0.79812 48 98 0.78823 0.81299 3.14% 31.0 180s
45922 9273 cutoff 74 0.78823 0.81273 3.11% 31.2 185s
47334 9378 0.79930 46 110 0.78823 0.81225 3.05% 31.4 190s
48511 9499 0.80986 53 125 0.78823 0.81189 3.00% 31.5 195s
49721 9617 0.81098 69 87 0.78823 0.81159 2.96% 31.7 201s
51140 9740 0.80116 57 101 0.78823 0.81127 2.92% 31.7 206s
51939 9816 0.79515 77 69 0.78823 0.81104 2.89% 31.8 211s
52980 9852 0.79175 44 115 0.78823 0.81083 2.87% 31.8 216s
54096 9942 infeasible 59 0.78823 0.81056 2.83% 32.0 221s
55301 10011 0.79730 67 107 0.78823 0.81022 2.79% 32.1 226s
56501 10049 0.79944 61 100 0.78823 0.80991 2.75% 32.2 231s
57891 10144 0.80134 59 107 0.78823 0.80959 2.71% 32.3 235s
59268 10199 0.80049 63 127 0.78823 0.80927 2.67% 32.3 240s
60548 10188 0.79983 58 122 0.78823 0.80896 2.63% 32.4 246s
61853 10178 cutoff 56 0.78823 0.80862 2.59% 32.5 251s
63095 10207 infeasible 83 0.78823 0.80831 2.55% 32.6 255s
64257 10229 0.79051 49 116 0.78823 0.80804 2.51% 32.7 260s
65623 10282 0.80420 43 145 0.78823 0.80774 2.47% 32.7 265s
66697 10259 cutoff 56 0.78823 0.80744 2.44% 32.8 270s
67957 10193 0.80563 62 109 0.78823 0.80712 2.40% 32.8 275s
69342 10175 0.80413 60 116 0.78823 0.80676 2.35% 32.9 280s
70711 10184 0.80529 74 100 0.78823 0.80644 2.31% 32.8 285s
71960 10246 0.79682 76 67 0.78823 0.80614 2.27% 32.9 290s
72866 10146 cutoff 60 0.78823 0.80604 2.26% 32.9 295s
74029 10093 0.80353 73 89 0.78823 0.80561 2.21% 32.9 300s
75310 10001 0.79663 53 125 0.78823 0.80541 2.18% 32.9 305s
76845 9860 infeasible 43 0.78823 0.80493 2.12% 32.9 310s
78000 9754 0.79642 70 76 0.78823 0.80465 2.08% 32.9 315s
79468 9594 cutoff 68 0.78823 0.80418 2.02% 32.9 321s
80518 9494 cutoff 42 0.78823 0.80387 1.98% 32.9 325s
81524 9363 0.79439 67 88 0.78823 0.80359 1.95% 32.9 330s
82984 9233 0.80253 58 111 0.78823 0.80317 1.90% 33.0 335s
84184 9136 0.79209 70 75 0.78823 0.80290 1.86% 32.9 340s
85711 8993 cutoff 58 0.78823 0.80249 1.81% 32.9 345s
86550 8867 0.79508 57 119 0.78823 0.80227 1.78% 32.9 351s
87732 8772 cutoff 46 0.78823 0.80193 1.74% 32.9 355s
89094 8586 cutoff 66 0.78823 0.80151 1.68% 32.9 360s
90124 8488 0.79571 80 64 0.78823 0.80126 1.65% 32.9 365s
91376 8254 0.79844 64 89 0.78823 0.80088 1.60% 32.9 370s
92725 8086 cutoff 96 0.78823 0.80052 1.56% 32.9 375s
93822 7944 0.79829 63 94 0.78823 0.80026 1.53% 32.8 380s
95356 7658 infeasible 66 0.78823 0.79975 1.46% 32.8 385s
96595 7456 cutoff 67 0.78823 0.79936 1.41% 32.8 390s
97767 7246 cutoff 72 0.78823 0.79895 1.36% 32.8 395s
99049 7057 cutoff 70 0.78823 0.79857 1.31% 32.7 400s
100585 6769 infeasible 58 0.78823 0.79814 1.26% 32.7 405s
101746 6525 cutoff 84 0.78823 0.79772 1.20% 32.6 410s
103261 6313 0.79733 72 85 0.78823 0.79733 1.16% 32.5 416s
104446 6129 cutoff 78 0.78823 0.79702 1.12% 32.4 420s
105479 5892 cutoff 59 0.78823 0.79666 1.07% 32.4 425s
106946 5501 0.79427 66 106 0.78823 0.79617 1.01% 32.3 430s
Cutting planes:
Gomory: 144
Cover: 2
Implied bound: 61
Projected implied bound: 33
Clique: 3
MIR: 35
Flow cover: 179
Inf proof: 340
Explored 107551 nodes (3470801 simplex iterations) in 431.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.788229 0.788229
Optimal solution found (tolerance 1.00e-02)
Best objective 7.882293078977e-01, best bound 7.960003048682e-01, gap 0.9859%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf18hgnhq.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9o0wbwu7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.775813
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.043367e+00, 1071 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04337 0 93 0.77581 1.04337 34.5% - 0s
0 0 1.01405 0 132 0.77581 1.01405 30.7% - 0s
0 0 1.01400 0 132 0.77581 1.01400 30.7% - 0s
0 0 0.99127 0 126 0.77581 0.99127 27.8% - 0s
0 0 0.99121 0 126 0.77581 0.99121 27.8% - 0s
0 0 0.98946 0 139 0.77581 0.98946 27.5% - 0s
0 0 0.98878 0 139 0.77581 0.98878 27.5% - 0s
0 0 0.98878 0 141 0.77581 0.98878 27.5% - 0s
0 0 0.98878 0 112 0.77581 0.98878 27.5% - 0s
0 0 0.98878 0 114 0.77581 0.98878 27.5% - 0s
0 0 0.98878 0 113 0.77581 0.98878 27.5% - 0s
0 0 0.98878 0 111 0.77581 0.98878 27.5% - 0s
0 2 0.98878 0 110 0.77581 0.98878 27.5% - 0s
792 544 0.89277 14 98 0.77581 0.89277 15.1% 20.9 5s
2129 771 cutoff 35 0.77581 0.87908 13.3% 26.9 10s
H 2149 738 0.7767921 0.87853 13.1% 27.2 10s
3596 1052 0.80484 36 96 0.77679 0.86097 10.8% 29.6 16s
4891 1359 0.79799 31 98 0.77679 0.85082 9.53% 30.4 20s
6562 1549 0.78340 41 90 0.77679 0.84174 8.36% 30.7 25s
8299 1846 0.81085 31 100 0.77679 0.83586 7.60% 30.3 30s
9817 2054 0.79304 34 78 0.77679 0.82980 6.82% 30.2 35s
11850 2515 infeasible 35 0.77679 0.82505 6.21% 29.8 40s
14060 2889 0.80494 37 88 0.77679 0.82041 5.62% 29.4 45s
15429 3172 0.80159 31 101 0.77679 0.81813 5.32% 29.1 50s
17631 3552 0.78373 37 103 0.77679 0.81542 4.97% 28.6 55s
19790 3955 0.79346 36 106 0.77679 0.81301 4.66% 28.2 60s
21141 4170 0.80039 55 100 0.77679 0.81171 4.49% 27.9 76s
22418 4306 0.79194 73 84 0.77679 0.81059 4.35% 28.0 80s
23987 4504 cutoff 70 0.77679 0.80942 4.20% 28.3 85s
25609 4698 cutoff 83 0.77679 0.80840 4.07% 28.6 90s
26936 4896 cutoff 39 0.77679 0.80760 3.97% 28.7 95s
28648 5050 0.80280 55 100 0.77679 0.80675 3.86% 29.0 100s
30047 5154 cutoff 57 0.77679 0.80603 3.76% 29.2 105s
31431 5252 0.78554 60 91 0.77679 0.80518 3.65% 29.4 110s
32936 5400 cutoff 62 0.77679 0.80446 3.56% 29.5 115s
33727 5416 0.78960 56 94 0.77679 0.80389 3.49% 29.6 120s
35609 5487 0.79704 43 117 0.77679 0.80284 3.35% 29.8 125s
37152 5544 0.80130 59 105 0.77679 0.80211 3.26% 29.9 130s
38629 5588 infeasible 55 0.77679 0.80130 3.16% 30.0 135s
40165 5656 0.78844 46 83 0.77679 0.80046 3.05% 30.1 140s
41820 5630 cutoff 51 0.77679 0.79960 2.94% 30.1 145s
43486 5625 cutoff 52 0.77679 0.79878 2.83% 30.2 150s
45182 5681 0.78802 44 136 0.77679 0.79812 2.75% 30.1 155s
46833 5689 0.79250 34 134 0.77679 0.79708 2.61% 30.1 160s
48496 5676 infeasible 66 0.77679 0.79646 2.53% 30.1 165s
50275 5667 0.78789 64 90 0.77679 0.79545 2.40% 30.0 170s
51960 5577 cutoff 83 0.77679 0.79470 2.31% 30.0 175s
53736 5581 0.79346 82 75 0.77679 0.79399 2.21% 29.8 180s
55705 5460 cutoff 68 0.77679 0.79300 2.09% 29.8 185s
57242 5328 0.78558 51 117 0.77679 0.79233 2.00% 29.7 190s
58376 5163 0.78901 47 109 0.77679 0.79184 1.94% 29.8 195s
60160 4914 0.78483 57 82 0.77679 0.79088 1.81% 29.7 200s
61915 4693 0.78322 46 98 0.77679 0.79014 1.72% 29.7 205s
63511 4594 0.78873 54 105 0.77679 0.78923 1.60% 29.5 210s
65660 4417 cutoff 55 0.77679 0.78832 1.48% 29.4 215s
67770 4252 cutoff 84 0.77679 0.78738 1.36% 29.1 220s
69471 4222 0.78610 92 81 0.77679 0.78661 1.26% 28.9 225s
71579 4126 0.78525 58 111 0.77679 0.78577 1.16% 28.6 230s
73537 4001 cutoff 58 0.77679 0.78493 1.05% 28.3 235s
Cutting planes:
Gomory: 121
Cover: 4
Implied bound: 62
Projected implied bound: 38
Clique: 1
MIR: 37
Flow cover: 147
Inf proof: 256
Explored 74459 nodes (2097460 simplex iterations) in 236.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.776792 0.775813
Optimal solution found (tolerance 1.00e-02)
Best objective 7.767920998883e-01, best bound 7.845516251140e-01, gap 0.9989%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcnlilo27.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpra6g7hen.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.766819
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.028580e+00, 996 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02858 0 93 0.76682 1.02858 34.1% - 0s
0 0 0.99901 0 120 0.76682 0.99901 30.3% - 0s
0 0 0.99895 0 120 0.76682 0.99895 30.3% - 0s
0 0 0.97670 0 114 0.76682 0.97670 27.4% - 0s
0 0 0.97665 0 113 0.76682 0.97665 27.4% - 0s
0 0 0.97522 0 132 0.76682 0.97522 27.2% - 0s
0 0 0.97521 0 130 0.76682 0.97521 27.2% - 0s
0 0 0.97480 0 126 0.76682 0.97480 27.1% - 0s
0 0 0.97473 0 123 0.76682 0.97473 27.1% - 0s
0 0 0.97469 0 129 0.76682 0.97469 27.1% - 0s
0 0 0.97469 0 129 0.76682 0.97469 27.1% - 0s
0 0 0.97463 0 129 0.76682 0.97463 27.1% - 0s
0 0 0.97463 0 107 0.76682 0.97463 27.1% - 0s
0 2 0.97463 0 107 0.76682 0.97463 27.1% - 0s
778 569 0.88398 12 116 0.76682 0.88398 15.3% 20.0 5s
1567 620 0.81264 37 111 0.76682 0.87959 14.7% 30.6 10s
2466 698 0.83324 30 110 0.76682 0.86064 12.2% 30.2 15s
3855 1149 cutoff 38 0.76682 0.84465 10.2% 29.7 20s
5328 1521 0.78535 35 112 0.76682 0.83662 9.10% 29.3 25s
6382 1657 cutoff 37 0.76682 0.83009 8.25% 30.0 30s
8056 2012 0.81500 39 128 0.76682 0.82288 7.31% 29.8 36s
9069 2157 0.79608 42 103 0.76682 0.81955 6.88% 29.7 40s
10703 2460 0.77660 55 96 0.76682 0.81407 6.16% 29.3 45s
12670 3204 0.78293 69 105 0.76682 0.81095 5.76% 28.0 50s
14255 3621 0.79228 68 72 0.76682 0.80898 5.50% 27.3 55s
16292 4211 0.79458 39 112 0.76682 0.80718 5.26% 26.5 60s
18094 4652 0.78771 56 99 0.76682 0.80539 5.03% 26.3 65s
20097 4989 cutoff 62 0.76682 0.80328 4.75% 26.2 70s
20579 5094 0.76942 63 83 0.76682 0.80286 4.70% 26.2 84s
20996 5223 0.76863 42 113 0.76682 0.80260 4.67% 26.1 85s
22747 5686 0.77867 56 111 0.76682 0.80170 4.55% 26.4 91s
23875 5847 0.78835 47 122 0.76682 0.80092 4.45% 26.8 95s
25235 6213 0.78960 49 133 0.76682 0.80019 4.35% 27.0 100s
26656 6524 0.78636 66 121 0.76682 0.79958 4.27% 27.3 105s
27903 6674 cutoff 61 0.76682 0.79871 4.16% 27.6 110s
29321 6994 cutoff 42 0.76682 0.79815 4.09% 27.9 116s
30361 7241 0.79116 52 104 0.76682 0.79752 4.00% 28.1 120s
31839 7561 0.77802 38 129 0.76682 0.79702 3.94% 28.3 126s
32893 7724 0.77836 64 93 0.76682 0.79655 3.88% 28.4 131s
33664 7784 0.77777 46 106 0.76682 0.79621 3.83% 28.7 135s
34648 7873 0.77445 55 102 0.76682 0.79592 3.80% 29.0 140s
35893 7981 0.78338 46 121 0.76682 0.79521 3.70% 29.4 145s
36939 8050 0.79215 72 101 0.76682 0.79488 3.66% 29.7 150s
37827 8101 0.77245 41 120 0.76682 0.79432 3.59% 30.1 155s
39279 8148 0.78736 46 122 0.76682 0.79364 3.50% 30.4 161s
40359 8181 0.78322 46 138 0.76682 0.79330 3.45% 30.7 165s
41514 8164 cutoff 60 0.76682 0.79269 3.37% 31.0 170s
42604 8112 0.78512 48 127 0.76682 0.79206 3.29% 31.3 175s
44109 8085 cutoff 85 0.76682 0.79136 3.20% 31.6 180s
45285 8064 0.79071 49 109 0.76682 0.79086 3.14% 31.8 185s
46546 8082 cutoff 70 0.76682 0.79031 3.06% 31.9 190s
47654 8001 infeasible 58 0.76682 0.78978 2.99% 32.1 195s
48936 7950 0.77746 50 138 0.76682 0.78925 2.93% 32.2 200s
49748 7888 0.76799 45 123 0.76682 0.78887 2.88% 32.4 205s
50882 7816 cutoff 55 0.76682 0.78836 2.81% 32.5 210s
51938 7749 cutoff 63 0.76682 0.78793 2.75% 32.6 215s
53071 7637 0.78477 90 74 0.76682 0.78735 2.68% 32.7 220s
54335 7592 cutoff 59 0.76682 0.78677 2.60% 32.8 225s
55810 7465 cutoff 57 0.76682 0.78613 2.52% 32.9 231s
57003 7379 cutoff 50 0.76682 0.78559 2.45% 33.0 235s
58149 7263 0.78487 87 53 0.76682 0.78504 2.38% 33.1 240s
59880 7176 0.78322 100 69 0.76682 0.78433 2.28% 33.1 246s
60969 7033 0.76782 63 85 0.76682 0.78381 2.22% 33.1 250s
62086 6908 0.78248 61 99 0.76682 0.78337 2.16% 33.2 255s
63615 6902 infeasible 50 0.76682 0.78280 2.08% 33.1 261s
65081 6751 cutoff 109 0.76682 0.78206 1.99% 33.1 266s
66121 6656 0.78161 61 86 0.76682 0.78163 1.93% 33.1 270s
67890 6445 0.77653 57 99 0.76682 0.78093 1.84% 33.0 275s
69224 6302 cutoff 47 0.76682 0.78016 1.74% 33.0 280s
70613 6191 infeasible 82 0.76682 0.77951 1.66% 32.9 285s
72084 6119 cutoff 67 0.76682 0.77886 1.57% 32.8 290s
73646 6116 cutoff 48 0.76682 0.77828 1.49% 32.5 295s
74912 6074 0.77762 51 97 0.76682 0.77778 1.43% 32.4 300s
76618 6000 cutoff 55 0.76682 0.77712 1.34% 32.2 305s
78795 5896 cutoff 81 0.76682 0.77641 1.25% 31.9 310s
80744 5892 infeasible 77 0.76682 0.77583 1.17% 31.5 315s
82742 5733 0.77511 85 67 0.76682 0.77512 1.08% 31.2 320s
Cutting planes:
Gomory: 146
Cover: 1
Implied bound: 68
Projected implied bound: 39
Clique: 1
MIR: 41
Flow cover: 167
Inf proof: 317
Explored 84820 nodes (2618751 simplex iterations) in 323.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.766819
Optimal solution found (tolerance 1.00e-02)
Best objective 7.668189984816e-01, best bound 7.744745337230e-01, gap 0.9983%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsu0y4a36.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps_mcm_7p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.754378
Presolve removed 704 rows and 456 columns
Presolve time: 0.05s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 1.007675e+00, 1037 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00768 0 90 0.75438 1.00768 33.6% - 0s
0 0 0.98017 0 134 0.75438 0.98017 29.9% - 0s
0 0 0.98011 0 134 0.75438 0.98011 29.9% - 0s
0 0 0.95940 0 133 0.75438 0.95940 27.2% - 0s
0 0 0.95736 0 135 0.75438 0.95736 26.9% - 0s
0 0 0.95674 0 144 0.75438 0.95674 26.8% - 0s
0 0 0.95674 0 144 0.75438 0.95674 26.8% - 0s
0 0 0.95620 0 143 0.75438 0.95620 26.8% - 0s
0 0 0.95620 0 143 0.75438 0.95620 26.8% - 0s
0 0 0.95620 0 145 0.75438 0.95620 26.8% - 0s
0 0 0.95620 0 145 0.75438 0.95620 26.8% - 0s
0 0 0.95620 0 115 0.75438 0.95620 26.8% - 0s
0 2 0.95620 0 112 0.75438 0.95620 26.8% - 0s
764 575 0.86605 12 125 0.75438 0.87410 15.9% 18.8 5s
1833 710 cutoff 30 0.75438 0.87410 15.9% 30.1 10s
2688 729 0.79391 19 98 0.75438 0.85739 13.7% 34.6 15s
4047 939 cutoff 25 0.75438 0.83713 11.0% 36.6 20s
5504 1114 infeasible 30 0.75438 0.82463 9.31% 37.9 25s
6690 1185 cutoff 31 0.75438 0.81580 8.14% 38.0 30s
8224 1414 infeasible 24 0.75438 0.80701 6.98% 37.4 35s
9791 1853 0.78287 59 100 0.75438 0.80144 6.24% 35.9 40s
11440 2360 0.79307 60 95 0.75438 0.79778 5.75% 34.3 45s
13118 3000 cutoff 42 0.75438 0.79433 5.30% 32.7 50s
15057 3593 0.78134 48 99 0.75438 0.79162 4.94% 31.5 56s
16774 4092 cutoff 47 0.75438 0.79014 4.74% 30.7 60s
18564 4452 0.78614 38 107 0.75438 0.78799 4.46% 30.3 65s
20879 4884 0.76961 36 127 0.75438 0.78567 4.15% 30.1 83s
21479 4981 0.77462 76 99 0.75438 0.78529 4.10% 30.2 85s
22705 5168 0.77656 38 127 0.75438 0.78431 3.97% 30.6 90s
23960 5376 0.76016 49 119 0.75438 0.78351 3.86% 31.0 95s
25340 5579 cutoff 72 0.75438 0.78258 3.74% 31.3 100s
26819 5880 cutoff 82 0.75438 0.78181 3.64% 31.4 105s
28107 6071 0.76265 70 97 0.75438 0.78118 3.55% 31.6 110s
29397 6252 0.76871 31 147 0.75438 0.78055 3.47% 31.9 115s
30591 6436 cutoff 56 0.75438 0.78004 3.40% 32.3 120s
31795 6643 0.76121 62 111 0.75438 0.77964 3.35% 32.3 125s
33364 6824 0.76946 53 99 0.75438 0.77907 3.27% 32.4 130s
34706 6814 0.76791 69 107 0.75438 0.77824 3.16% 32.8 135s
36032 6897 infeasible 43 0.75438 0.77752 3.07% 33.0 141s
36361 6961 0.76497 46 107 0.75438 0.77743 3.06% 33.1 146s
37089 6925 0.76676 44 123 0.75438 0.77715 3.02% 33.2 150s
38468 6946 0.76838 105 82 0.75438 0.77658 2.94% 33.5 156s
39495 6973 0.76583 64 109 0.75438 0.77619 2.89% 33.8 160s
40682 6968 0.75772 57 114 0.75438 0.77574 2.83% 33.9 165s
42186 6924 0.76935 69 112 0.75438 0.77510 2.75% 34.2 170s
43278 6941 0.76704 57 102 0.75438 0.77469 2.69% 34.3 175s
44642 6879 infeasible 55 0.75438 0.77401 2.60% 34.6 181s
45652 6872 cutoff 54 0.75438 0.77356 2.54% 34.7 185s
46749 6860 cutoff 59 0.75438 0.77310 2.48% 34.9 190s
47841 6787 cutoff 32 0.75438 0.77263 2.42% 35.0 195s
48846 6727 cutoff 53 0.75438 0.77228 2.37% 35.2 200s
50279 6648 0.75806 80 94 0.75438 0.77147 2.27% 35.4 205s
51352 6622 0.76059 66 90 0.75438 0.77103 2.21% 35.4 210s
52851 6539 0.76723 85 87 0.75438 0.77035 2.12% 35.6 215s
54095 6408 cutoff 65 0.75438 0.76977 2.04% 35.7 221s
55201 6321 cutoff 25 0.75438 0.76930 1.98% 35.8 225s
56639 6213 0.76871 66 86 0.75438 0.76872 1.90% 35.8 230s
57630 6087 0.76244 78 92 0.75438 0.76826 1.84% 35.8 235s
59307 5912 0.76658 59 114 0.75438 0.76748 1.74% 35.8 241s
60543 5732 0.76690 50 130 0.75438 0.76690 1.66% 35.8 246s
61883 5595 0.75968 64 93 0.75438 0.76633 1.58% 35.9 250s
63324 5524 cutoff 74 0.75438 0.76586 1.52% 35.8 256s
64532 5362 cutoff 91 0.75438 0.76540 1.46% 35.7 260s
66126 5126 cutoff 40 0.75438 0.76479 1.38% 35.6 265s
66846 4990 0.76437 90 71 0.75438 0.76445 1.33% 35.5 270s
68668 4742 cutoff 41 0.75438 0.76373 1.24% 35.4 275s
69734 4561 0.76273 86 78 0.75438 0.76328 1.18% 35.3 280s
71063 4325 infeasible 126 0.75438 0.76271 1.10% 35.2 285s
72606 3959 infeasible 78 0.75438 0.76199 1.01% 35.1 290s
Cutting planes:
Gomory: 167
Cover: 2
Implied bound: 45
Projected implied bound: 41
Clique: 3
MIR: 39
Flow cover: 180
Inf proof: 306
Explored 72924 nodes (2557677 simplex iterations) in 290.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.754378
Optimal solution found (tolerance 1.00e-02)
Best objective 7.543776044338e-01, best bound 7.618829820626e-01, gap 0.9949%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpui2j5_j_.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp35ph_9j4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.74516
Presolve removed 718 rows and 465 columns
Presolve time: 0.04s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.973387e-01, 1024 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99734 0 91 0.74516 0.99734 33.8% - 0s
0 0 0.97082 0 134 0.74516 0.97082 30.3% - 0s
0 0 0.97076 0 134 0.74516 0.97076 30.3% - 0s
0 0 0.95104 0 128 0.74516 0.95104 27.6% - 0s
0 0 0.94893 0 130 0.74516 0.94893 27.3% - 0s
0 0 0.94769 0 143 0.74516 0.94769 27.2% - 0s
0 0 0.94769 0 143 0.74516 0.94769 27.2% - 0s
0 0 0.94688 0 148 0.74516 0.94688 27.1% - 0s
0 0 0.94688 0 148 0.74516 0.94688 27.1% - 0s
0 0 0.94679 0 147 0.74516 0.94679 27.1% - 0s
0 0 0.94670 0 146 0.74516 0.94670 27.0% - 0s
0 0 0.94670 0 119 0.74516 0.94670 27.0% - 0s
0 2 0.94670 0 119 0.74516 0.94670 27.0% - 0s
757 499 0.81281 10 116 0.74516 0.87871 17.9% 21.0 5s
1410 636 0.77978 43 108 0.74516 0.87871 17.9% 28.4 10s
2359 629 cutoff 21 0.74516 0.86643 16.3% 39.6 15s
3444 843 cutoff 27 0.74516 0.84714 13.7% 41.3 20s
4664 1080 0.74865 30 129 0.74516 0.83495 12.0% 39.9 25s
6076 1495 0.77718 28 138 0.74516 0.82658 10.9% 37.3 30s
7680 1831 0.77826 28 134 0.74516 0.81602 9.51% 36.4 36s
9190 2131 0.76411 62 95 0.74516 0.80950 8.63% 35.5 40s
10140 2363 infeasible 40 0.74516 0.80624 8.20% 34.7 45s
11940 2654 0.78216 37 125 0.74516 0.79989 7.34% 34.2 51s
13027 2925 cutoff 68 0.74516 0.79760 7.04% 33.4 55s
15182 3448 cutoff 41 0.74516 0.79274 6.39% 32.4 60s
17351 4146 0.76537 38 127 0.74516 0.79045 6.08% 31.3 65s
19336 4640 cutoff 39 0.74516 0.78901 5.88% 30.8 70s
20993 4970 0.77914 62 119 0.74516 0.78719 5.64% 30.7 87s
21000 4975 0.77376 71 176 0.74516 0.78719 5.64% 30.7 90s
21005 4978 0.77861 72 188 0.74516 0.78719 5.64% 30.7 95s
21011 4982 0.77195 86 198 0.74516 0.78719 5.64% 30.7 100s
21015 4985 0.76375 40 193 0.74516 0.78719 5.64% 30.7 106s
21020 4988 0.75542 41 202 0.74516 0.78719 5.64% 30.7 110s
21024 4991 0.76054 77 209 0.74516 0.78719 5.64% 30.7 115s
21027 4993 0.75599 85 208 0.74516 0.78719 5.64% 30.6 120s
21031 4995 0.75249 43 207 0.74516 0.78719 5.64% 30.6 125s
21035 4998 0.78463 55 210 0.74516 0.78719 5.64% 30.6 130s
21040 5001 0.74590 180 217 0.74516 0.78719 5.64% 30.6 135s
21043 5003 0.78234 60 212 0.74516 0.78719 5.64% 30.6 140s
21048 5007 0.75003 70 211 0.74516 0.78719 5.64% 30.6 145s
21053 5010 0.76134 79 219 0.74516 0.78719 5.64% 30.6 150s
21058 5013 0.78622 65 200 0.74516 0.78719 5.64% 30.6 156s
21062 5016 0.76669 91 199 0.74516 0.78719 5.64% 30.6 160s
21066 5019 0.76149 38 202 0.74516 0.78719 5.64% 30.6 165s
21071 5022 0.76183 56 209 0.74516 0.78719 5.64% 30.6 170s
21075 5025 0.76249 68 215 0.74516 0.78719 5.64% 30.6 175s
21079 5027 0.75331 46 218 0.74516 0.78719 5.64% 30.6 180s
21083 5030 0.74543 182 213 0.74516 0.78719 5.64% 30.6 185s
21088 5033 0.74822 78 215 0.74516 0.78719 5.64% 30.6 190s
21092 5036 0.76134 68 216 0.74516 0.78719 5.64% 30.6 196s
21097 5039 0.75722 47 214 0.74516 0.78719 5.64% 30.5 201s
21101 5042 0.76644 93 214 0.74516 0.78719 5.64% 30.5 206s
21103 5043 0.76290 73 213 0.74516 0.78719 5.64% 30.5 210s
21106 5045 0.77296 43 231 0.74516 0.78719 5.64% 30.5 215s
21109 5047 0.74647 77 225 0.74516 0.78719 5.64% 30.5 221s
21111 5049 0.77195 86 225 0.74516 0.78719 5.64% 30.5 225s
21116 5052 0.77217 39 228 0.74516 0.78719 5.64% 30.5 230s
21120 5055 0.75542 41 235 0.74516 0.78719 5.64% 30.5 235s
H21122 4801 0.7451605 0.78719 5.64% 30.5 240s
21127 4804 0.75599 85 232 0.74516 0.78719 5.64% 30.5 245s
21131 4807 0.75249 43 237 0.74516 0.78719 5.64% 30.5 252s
21135 4810 0.78463 55 217 0.74516 0.78719 5.64% 30.5 257s
21137 4811 0.75359 51 238 0.74516 0.78719 5.64% 30.5 261s
21141 4814 0.76106 65 229 0.74516 0.78719 5.64% 30.5 267s
21144 4816 0.76334 74 228 0.74516 0.78719 5.64% 30.5 270s
21147 4818 0.77447 35 233 0.74516 0.78719 5.64% 30.5 275s
21151 4820 0.74542 89 233 0.74516 0.78719 5.64% 30.5 280s
21155 4823 0.75485 53 231 0.74516 0.78719 5.64% 30.5 285s
21160 4826 0.76114 82 225 0.74516 0.78719 5.64% 30.5 290s
21163 4828 0.74671 65 237 0.74516 0.78719 5.64% 30.4 295s
21169 4832 0.76375 49 236 0.74516 0.78719 5.64% 30.4 300s
21174 4836 0.77665 38 236 0.74516 0.78719 5.64% 30.4 305s
21179 4839 0.75331 46 223 0.74516 0.78719 5.64% 30.4 310s
21184 4842 0.75299 28 239 0.74516 0.78719 5.64% 30.4 315s
21189 4846 0.76996 33 227 0.74516 0.78719 5.64% 30.4 321s
21192 4851 0.78719 22 205 0.74516 0.78719 5.64% 32.3 327s
21194 4851 0.78719 23 202 0.74516 0.78719 5.64% 32.3 332s
21198 4852 0.78719 24 205 0.74516 0.78719 5.64% 32.3 337s
21214 4852 0.77670 27 193 0.74516 0.78719 5.64% 32.5 340s
21241 4852 0.75400 30 190 0.74516 0.78719 5.64% 32.6 345s
21421 4861 infeasible 37 0.74516 0.78719 5.64% 33.6 350s
21596 4893 0.75102 53 134 0.74516 0.78719 5.64% 34.6 355s
21795 4916 0.78719 40 164 0.74516 0.78719 5.64% 36.1 360s
22095 4945 0.76347 36 182 0.74516 0.78719 5.64% 37.2 365s
22422 5021 0.78581 36 188 0.74516 0.78719 5.64% 38.3 370s
22550 5030 0.78719 32 180 0.74516 0.78719 5.64% 38.9 375s
22778 5070 0.78719 37 182 0.74516 0.78719 5.64% 40.3 380s
23002 5080 0.78719 37 194 0.74516 0.78719 5.64% 41.5 385s
23310 5123 0.78719 37 196 0.74516 0.78719 5.64% 42.7 390s
23503 5133 0.75555 58 134 0.74516 0.78719 5.64% 43.8 395s
23906 5149 0.77440 41 171 0.74516 0.78719 5.64% 45.2 401s
24196 5195 0.74743 44 157 0.74516 0.78719 5.64% 45.9 406s
24468 5230 cutoff 49 0.74516 0.78719 5.64% 47.0 411s
24807 5287 0.78719 42 180 0.74516 0.78719 5.64% 47.9 416s
25015 5323 0.76103 49 180 0.74516 0.78719 5.64% 48.4 420s
25272 5341 0.78562 39 167 0.74516 0.78719 5.64% 49.5 426s
25542 5346 cutoff 38 0.74516 0.78719 5.64% 51.1 432s
25779 5427 0.77838 46 179 0.74516 0.78719 5.64% 51.5 435s
26118 5470 0.75694 51 177 0.74516 0.78719 5.64% 52.8 442s
26292 5477 cutoff 44 0.74516 0.78719 5.64% 53.6 451s
26297 5458 cutoff 44 0.74516 0.78719 5.64% 53.6 455s
26703 5463 0.78719 45 171 0.74516 0.78719 5.64% 55.2 462s
26932 5458 0.78159 38 206 0.74516 0.78719 5.64% 55.9 466s
27165 5459 0.78406 41 167 0.74516 0.78719 5.64% 56.7 471s
27363 5444 0.74890 56 158 0.74516 0.78719 5.64% 57.7 475s
27600 5452 0.78652 42 201 0.74516 0.78719 5.64% 58.6 480s
28036 5415 infeasible 50 0.74516 0.78719 5.64% 60.4 488s
28343 5413 0.77727 47 175 0.74516 0.78719 5.64% 61.2 493s
28675 5450 0.77368 52 157 0.74516 0.78719 5.64% 61.8 499s
28945 5434 0.75457 46 156 0.74516 0.78719 5.64% 62.9 504s
29313 5448 cutoff 56 0.74516 0.78719 5.64% 63.8 509s
29673 5430 cutoff 47 0.74516 0.78719 5.64% 64.8 516s
30045 5443 0.77755 43 196 0.74516 0.78719 5.64% 65.8 522s
30400 5460 cutoff 51 0.74516 0.78719 5.64% 66.7 528s
30697 5489 0.78383 46 159 0.74516 0.78719 5.64% 67.3 534s
31068 5460 0.78396 41 195 0.74516 0.78719 5.64% 68.4 541s
31470 5487 0.74543 51 150 0.74516 0.78719 5.64% 69.5 547s
31783 5478 0.77080 52 169 0.74516 0.78719 5.64% 70.6 554s
32164 5455 0.76767 51 161 0.74516 0.78719 5.64% 71.6 560s
32550 5445 0.78000 50 161 0.74516 0.78719 5.64% 72.7 567s
33017 5484 0.76623 48 161 0.74516 0.78719 5.64% 73.6 574s
33494 5538 0.75964 46 181 0.74516 0.78719 5.64% 74.4 580s
33658 5507 0.76854 38 201 0.74516 0.78719 5.64% 75.3 587s
H33707 5257 0.7451605 0.78719 5.64% 75.4 587s
H33748 5015 0.7451605 0.78719 5.64% 75.6 587s
33802 4991 0.76225 46 169 0.74516 0.78719 5.64% 75.8 594s
34139 4975 cutoff 53 0.74516 0.78719 5.64% 76.9 600s
Cutting planes:
Gomory: 186
Cover: 5
Implied bound: 36
Projected implied bound: 40
MIR: 200
StrongCG: 1
Flow cover: 561
Inf proof: 79
Zero half: 1
Explored 34450 nodes (2681453 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.74516 0.74516 0.74516 0.74516
Time limit reached
Best objective 7.451604651155e-01, best bound 7.871887357410e-01, gap 5.6402%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6boou67_.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp08xtdopr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.730232
Presolve removed 732 rows and 474 columns
Presolve time: 0.03s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.764444e-01, 1089 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97644 0 92 0.73023 0.97644 33.7% - 0s
0 0 0.94926 0 133 0.73023 0.94926 30.0% - 0s
0 0 0.94920 0 133 0.73023 0.94920 30.0% - 0s
0 0 0.92979 0 134 0.73023 0.92979 27.3% - 0s
0 0 0.92775 0 135 0.73023 0.92775 27.0% - 0s
0 0 0.92626 0 151 0.73023 0.92626 26.8% - 0s
0 0 0.92626 0 151 0.73023 0.92626 26.8% - 0s
0 0 0.92593 0 150 0.73023 0.92593 26.8% - 0s
0 0 0.92586 0 150 0.73023 0.92586 26.8% - 0s
0 0 0.92584 0 151 0.73023 0.92584 26.8% - 0s
0 0 0.92584 0 151 0.73023 0.92584 26.8% - 0s
0 0 0.92584 0 117 0.73023 0.92584 26.8% - 0s
0 2 0.92584 0 117 0.73023 0.92584 26.8% - 0s
752 546 0.85013 16 128 0.73023 0.85013 16.4% 20.1 5s
1676 714 0.83228 29 105 0.73023 0.83889 14.9% 28.1 10s
2798 844 cutoff 33 0.73023 0.82528 13.0% 29.8 15s
3783 1082 cutoff 37 0.73023 0.81272 11.3% 30.1 20s
5368 1509 0.77204 48 110 0.73023 0.80482 10.2% 29.9 25s
6777 1738 0.76010 36 122 0.73023 0.79903 9.42% 30.5 30s
8114 1932 0.78034 37 111 0.73023 0.79516 8.89% 30.8 35s
9870 2229 0.75606 44 125 0.73023 0.79092 8.31% 30.4 40s
11168 2426 0.74133 60 110 0.73023 0.78701 7.78% 30.4 46s
12875 2673 0.76752 53 103 0.73023 0.78280 7.20% 30.6 50s
H12885 2678 0.7302325 0.78280 7.20% 30.6 50s
14203 2918 0.74074 57 101 0.73023 0.77999 6.81% 30.3 56s
15845 3409 cutoff 79 0.73023 0.77804 6.55% 29.3 60s
18038 4016 infeasible 66 0.73023 0.77586 6.25% 28.5 65s
19715 4297 0.75017 59 103 0.73023 0.77369 5.95% 28.4 70s
20780 4615 cutoff 36 0.73023 0.77271 5.82% 28.1 86s
22000 4865 0.73949 90 84 0.73023 0.77132 5.63% 28.2 90s
23709 5197 0.74734 56 125 0.73023 0.76967 5.40% 28.5 96s
25190 5519 0.76474 62 117 0.73023 0.76837 5.22% 28.8 100s
26904 5921 0.73714 56 127 0.73023 0.76726 5.07% 28.8 105s
28488 6241 cutoff 56 0.73023 0.76604 4.90% 29.0 110s
30273 6683 0.74646 42 142 0.73023 0.76504 4.77% 28.9 115s
31847 6960 0.75775 83 87 0.73023 0.76427 4.66% 29.0 120s
33844 7429 cutoff 50 0.73023 0.76356 4.56% 29.1 125s
35314 7710 0.74061 50 112 0.73023 0.76276 4.45% 29.2 130s
36801 7996 0.74845 70 106 0.73023 0.76222 4.38% 29.4 135s
38229 8223 cutoff 56 0.73023 0.76164 4.30% 29.6 140s
39716 8466 0.75207 63 97 0.73023 0.76102 4.22% 29.7 145s
41243 8706 0.74291 61 111 0.73023 0.76047 4.14% 29.8 150s
42791 8937 0.73354 72 102 0.73023 0.76007 4.09% 29.9 156s
43694 9066 0.73369 49 118 0.73023 0.75980 4.05% 30.0 160s
45306 9276 0.74213 74 104 0.73023 0.75934 3.99% 30.0 165s
46726 9452 cutoff 110 0.73023 0.75893 3.93% 30.2 170s
48146 9555 0.75137 78 102 0.73023 0.75842 3.86% 30.5 176s
49663 9755 cutoff 68 0.73023 0.75800 3.80% 30.6 181s
50798 9887 cutoff 47 0.73023 0.75770 3.76% 30.7 185s
52345 10012 0.74799 58 123 0.73023 0.75731 3.71% 31.0 190s
53628 10133 0.74699 54 129 0.73023 0.75691 3.65% 31.1 195s
55179 10274 0.73215 66 120 0.73023 0.75639 3.58% 31.2 201s
56432 10417 0.73997 52 141 0.73023 0.75600 3.53% 31.2 205s
58112 10523 0.73415 76 103 0.73023 0.75544 3.45% 31.3 211s
59267 10574 cutoff 80 0.73023 0.75515 3.41% 31.4 215s
60442 10645 cutoff 80 0.73023 0.75477 3.36% 31.6 220s
61657 10736 0.75219 66 117 0.73023 0.75438 3.31% 31.7 225s
62872 10765 0.75040 55 133 0.73023 0.75402 3.26% 31.8 230s
H63317 10713 0.7309754 0.75391 3.14% 31.8 233s
63767 10676 cutoff 48 0.73098 0.75371 3.11% 31.8 236s
65039 10709 cutoff 70 0.73098 0.75331 3.06% 31.9 240s
66254 10752 0.73756 62 105 0.73098 0.75300 3.01% 32.0 245s
67442 10785 0.73814 62 118 0.73098 0.75261 2.96% 32.1 250s
68653 10854 cutoff 58 0.73098 0.75231 2.92% 32.2 256s
69497 10801 0.73411 72 96 0.73098 0.75207 2.89% 32.2 261s
70792 10844 0.73744 55 132 0.73098 0.75167 2.83% 32.3 266s
72072 10793 cutoff 52 0.73098 0.75125 2.77% 32.4 270s
73383 10771 cutoff 37 0.73098 0.75094 2.73% 32.5 275s
74686 10768 cutoff 64 0.73098 0.75067 2.69% 32.6 280s
76348 10777 0.74446 65 101 0.73098 0.75027 2.64% 32.7 286s
77287 10727 0.74856 66 114 0.73098 0.74995 2.60% 32.7 290s
78755 10623 cutoff 68 0.73098 0.74946 2.53% 32.9 296s
79951 10536 0.73541 78 92 0.73098 0.74905 2.47% 32.9 300s
81155 10456 0.73767 61 122 0.73098 0.74874 2.43% 33.0 305s
82907 10446 0.73285 76 101 0.73098 0.74827 2.37% 32.9 310s
84394 10358 0.74166 66 106 0.73098 0.74781 2.30% 33.0 316s
85598 10252 cutoff 69 0.73098 0.74746 2.25% 33.1 320s
87137 10113 0.74565 65 114 0.73098 0.74702 2.19% 33.1 325s
88378 10057 0.74356 74 120 0.73098 0.74667 2.15% 33.1 330s
89790 9876 cutoff 44 0.73098 0.74621 2.08% 33.2 335s
91349 9702 cutoff 63 0.73098 0.74577 2.02% 33.3 341s
92762 9545 infeasible 55 0.73098 0.74541 1.97% 33.3 345s
94131 9372 0.73110 63 114 0.73098 0.74496 1.91% 33.3 350s
95561 9219 0.74425 72 116 0.73098 0.74448 1.85% 33.3 355s
97191 9164 0.74113 76 89 0.73098 0.74404 1.79% 33.3 360s
*97555 9000 147 0.7315984 0.74403 1.70% 33.3 360s
98749 8888 0.74355 101 76 0.73160 0.74369 1.65% 33.2 365s
100404 8676 0.74313 80 75 0.73160 0.74313 1.58% 33.2 370s
101573 8591 0.74281 78 78 0.73160 0.74281 1.53% 33.1 375s
103181 8384 cutoff 82 0.73160 0.74226 1.46% 33.1 380s
104766 8156 cutoff 95 0.73160 0.74175 1.39% 33.0 385s
106427 7873 0.73641 78 101 0.73160 0.74116 1.31% 33.0 390s
108267 7815 0.74040 84 91 0.73160 0.74075 1.25% 32.8 395s
110037 7726 0.73635 85 82 0.73160 0.74028 1.19% 32.7 400s
112079 7699 cutoff 51 0.73160 0.73992 1.14% 32.4 405s
113874 7534 cutoff 75 0.73160 0.73950 1.08% 32.3 410s
116029 7457 cutoff 78 0.73160 0.73904 1.02% 32.1 415s
Cutting planes:
Gomory: 161
Cover: 4
Implied bound: 55
Projected implied bound: 44
Clique: 1
MIR: 36
Flow cover: 179
GUB cover: 1
Inf proof: 390
Network: 1
Explored 116797 nodes (3744799 simplex iterations) in 415.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.731598 0.730975 0.730232 0.730232
Optimal solution found (tolerance 1.00e-02)
Best objective 7.315983990662e-01, best bound 7.388855587081e-01, gap 0.9961%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpklvp1zs7.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr1vaeyh7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.724643
Presolve removed 746 rows and 483 columns
Presolve time: 0.03s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 9.672439e-01, 1192 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96724 0 96 0.72464 0.96724 33.5% - 0s
0 0 0.91979 0 132 0.72464 0.91979 26.9% - 0s
0 0 0.91975 0 132 0.72464 0.91975 26.9% - 0s
0 0 0.91144 0 123 0.72464 0.91144 25.8% - 0s
0 0 0.91144 0 128 0.72464 0.91144 25.8% - 0s
0 0 0.91081 0 127 0.72464 0.91081 25.7% - 0s
0 0 0.91063 0 132 0.72464 0.91063 25.7% - 0s
0 0 0.91063 0 113 0.72464 0.91063 25.7% - 0s
0 2 0.91063 0 109 0.72464 0.91063 25.7% - 0s
770 616 0.77747 16 119 0.72464 0.84266 16.3% 22.3 5s
1519 796 cutoff 38 0.72464 0.83744 15.6% 30.1 10s
2365 972 0.79913 31 132 0.72464 0.82613 14.0% 31.6 15s
3457 1288 0.73854 42 121 0.72464 0.81020 11.8% 33.9 20s
4558 1509 cutoff 36 0.72464 0.80067 10.5% 36.4 25s
5613 1645 cutoff 35 0.72464 0.79389 9.56% 38.1 30s
6191 1736 cutoff 34 0.72464 0.79117 9.18% 38.9 35s
7366 1897 cutoff 32 0.72464 0.78676 8.57% 39.2 40s
8453 2012 0.76895 36 127 0.72464 0.78254 7.99% 39.7 45s
9349 2083 cutoff 35 0.72464 0.78035 7.69% 39.8 50s
10457 2180 0.74031 44 117 0.72464 0.77685 7.20% 40.2 55s
11929 2533 cutoff 45 0.72464 0.77259 6.62% 39.2 60s
12919 2750 0.73611 54 102 0.72464 0.77047 6.32% 38.4 65s
14525 3278 0.73596 36 123 0.72464 0.76777 5.95% 37.1 70s
16111 3703 cutoff 66 0.72464 0.76616 5.73% 36.1 75s
17609 4133 cutoff 47 0.72464 0.76367 5.39% 35.5 80s
19441 4793 0.73337 40 128 0.72464 0.76214 5.17% 34.4 85s
20931 5264 0.72832 69 95 0.72464 0.76082 4.99% 34.0 102s
21860 5486 0.73226 66 106 0.72464 0.76016 4.90% 33.9 105s
23122 5722 0.73957 43 142 0.72464 0.75932 4.79% 34.4 111s
24215 5883 0.73062 40 130 0.72464 0.75840 4.66% 34.6 115s
25555 6103 cutoff 49 0.72464 0.75759 4.55% 35.0 121s
26659 6302 0.73336 48 144 0.72464 0.75701 4.47% 35.2 125s
27704 6488 0.75641 61 110 0.72464 0.75641 4.38% 35.4 130s
28810 6602 cutoff 61 0.72464 0.75572 4.29% 35.6 135s
30394 6863 0.74927 62 126 0.72464 0.75501 4.19% 35.7 140s
31520 7020 cutoff 63 0.72464 0.75438 4.10% 35.8 145s
32607 7120 cutoff 74 0.72464 0.75379 4.02% 36.0 150s
34109 7315 0.74831 62 119 0.72464 0.75312 3.93% 36.2 155s
35364 7479 0.73519 68 120 0.72464 0.75266 3.87% 36.2 160s
36939 7631 cutoff 46 0.72464 0.75198 3.77% 36.4 165s
38150 7726 0.73858 70 108 0.72464 0.75155 3.71% 36.5 170s
39314 7954 0.73677 72 110 0.72464 0.75122 3.67% 36.6 177s
39698 7980 0.73617 77 99 0.72464 0.75103 3.64% 36.6 180s
40925 8074 0.74038 47 139 0.72464 0.75056 3.58% 36.7 185s
42549 8281 0.74332 54 145 0.72464 0.75007 3.51% 36.8 191s
43795 8392 0.74340 59 115 0.72464 0.74965 3.45% 36.8 196s
44944 8460 0.74904 59 139 0.72464 0.74916 3.38% 37.0 201s
46102 8520 0.74112 65 126 0.72464 0.74882 3.34% 37.1 205s
47322 8631 cutoff 64 0.72464 0.74848 3.29% 37.2 210s
48919 8696 0.73911 40 129 0.72464 0.74800 3.22% 37.3 216s
50095 8769 0.72933 53 120 0.72464 0.74764 3.17% 37.4 220s
51264 8860 0.72920 61 146 0.72464 0.74726 3.12% 37.5 225s
52629 9018 cutoff 60 0.72464 0.74692 3.07% 37.5 230s
53881 9113 0.72763 50 140 0.72464 0.74659 3.03% 37.6 235s
55211 9266 0.73620 72 123 0.72464 0.74622 2.98% 37.6 240s
56369 9323 cutoff 93 0.72464 0.74582 2.92% 37.7 245s
57600 9363 0.72755 57 133 0.72464 0.74545 2.87% 37.8 250s
59291 9525 cutoff 60 0.72464 0.74491 2.80% 37.8 255s
60490 9669 cutoff 67 0.72464 0.74458 2.75% 37.8 260s
61759 9776 0.73788 42 147 0.72464 0.74435 2.72% 37.8 265s
62966 9860 0.73156 52 143 0.72464 0.74401 2.67% 37.9 270s
64224 9960 0.74143 81 91 0.72464 0.74366 2.62% 37.9 275s
65242 10021 0.72846 38 136 0.72464 0.74342 2.59% 37.8 280s
66610 10106 cutoff 60 0.72464 0.74307 2.54% 37.8 285s
67874 10137 cutoff 58 0.72464 0.74282 2.51% 37.9 290s
69113 10156 cutoff 63 0.72464 0.74243 2.45% 37.9 295s
70429 10260 0.73039 68 110 0.72464 0.74215 2.42% 37.9 300s
71884 10445 cutoff 64 0.72464 0.74183 2.37% 37.8 305s
73357 10569 0.73918 56 143 0.72464 0.74158 2.34% 37.7 310s
74731 10681 0.73316 46 137 0.72464 0.74132 2.30% 37.7 315s
76042 10733 cutoff 39 0.72464 0.74105 2.26% 37.7 320s
77510 10884 0.73407 41 120 0.72464 0.74077 2.23% 37.6 325s
78908 11047 cutoff 72 0.72464 0.74052 2.19% 37.5 330s
80580 11181 0.73365 62 141 0.72464 0.74023 2.15% 37.5 336s
81843 11223 infeasible 71 0.72464 0.73999 2.12% 37.5 340s
83441 11432 0.72736 148 53 0.72464 0.73974 2.08% 37.4 345s
84746 11472 0.73840 57 121 0.72464 0.73949 2.05% 37.3 350s
86535 11572 0.72896 63 117 0.72464 0.73917 2.01% 37.3 357s
87289 11667 cutoff 58 0.72464 0.73906 1.99% 37.2 360s
88670 11680 0.72732 50 147 0.72464 0.73883 1.96% 37.1 365s
90217 11831 0.73183 65 108 0.72464 0.73857 1.92% 37.0 370s
91760 11783 0.73377 66 116 0.72464 0.73823 1.87% 37.0 376s
92993 11750 0.73680 49 153 0.72464 0.73792 1.83% 36.9 380s
94912 11899 0.72529 67 123 0.72464 0.73760 1.79% 36.8 386s
96317 11885 0.73495 121 89 0.72464 0.73735 1.75% 36.7 390s
97742 11925 0.73524 75 140 0.72464 0.73708 1.72% 36.6 395s
99467 11971 cutoff 94 0.72464 0.73677 1.67% 36.6 400s
100733 11929 cutoff 44 0.72464 0.73653 1.64% 36.5 405s
102389 11891 0.72903 41 121 0.72464 0.73621 1.60% 36.5 410s
103826 11927 0.73446 123 71 0.72464 0.73602 1.57% 36.4 415s
105488 11844 cutoff 84 0.72464 0.73572 1.53% 36.3 420s
107333 11836 0.73143 54 139 0.72464 0.73543 1.49% 36.2 426s
108555 11759 0.73522 65 129 0.72464 0.73524 1.46% 36.2 430s
110367 11773 infeasible 40 0.72464 0.73496 1.42% 36.1 435s
111899 11756 cutoff 31 0.72464 0.73481 1.40% 36.0 440s
113532 11667 cutoff 89 0.72464 0.73455 1.37% 35.9 445s
115412 11670 0.73391 67 117 0.72464 0.73433 1.34% 35.7 451s
116851 11727 0.72914 57 123 0.72464 0.73416 1.31% 35.6 456s
117724 11590 cutoff 72 0.72464 0.73403 1.30% 35.5 460s
119565 11697 0.73262 68 125 0.72464 0.73382 1.27% 35.4 465s
120890 11534 0.73350 122 71 0.72464 0.73359 1.23% 35.3 470s
122827 11421 cutoff 52 0.72464 0.73329 1.19% 35.2 475s
124578 11279 infeasible 103 0.72464 0.73299 1.15% 35.1 480s
126199 11219 infeasible 112 0.72464 0.73275 1.12% 35.0 485s
128028 11093 0.72646 116 63 0.72464 0.73247 1.08% 34.9 490s
129516 10994 cutoff 62 0.72464 0.73226 1.05% 34.8 495s
131418 11016 0.73105 101 81 0.72464 0.73200 1.01% 34.6 501s
Cutting planes:
Gomory: 167
Cover: 6
Implied bound: 72
Projected implied bound: 38
Clique: 2
MIR: 37
Flow cover: 189
Inf proof: 434
Explored 132551 nodes (4582164 simplex iterations) in 504.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.724643
Optimal solution found (tolerance 1.00e-02)
Best objective 7.246432091781e-01, best bound 7.318401493978e-01, gap 0.9932%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe1la_0yg.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvygf12vb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.7149
Presolve removed 760 rows and 492 columns
Presolve time: 0.03s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 9.541179e-01, 1142 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.95412 0 97 0.71490 0.95412 33.5% - 0s
0 0 0.91135 0 133 0.71490 0.91135 27.5% - 0s
0 0 0.91132 0 133 0.71490 0.91132 27.5% - 0s
0 0 0.89447 0 138 0.71490 0.89447 25.1% - 0s
0 0 0.89316 0 143 0.71490 0.89316 24.9% - 0s
0 0 0.89165 0 153 0.71490 0.89165 24.7% - 0s
0 0 0.89165 0 153 0.71490 0.89165 24.7% - 0s
0 0 0.89133 0 153 0.71490 0.89133 24.7% - 0s
0 0 0.89126 0 153 0.71490 0.89126 24.7% - 0s
0 0 0.89126 0 153 0.71490 0.89126 24.7% - 0s
0 0 0.89126 0 118 0.71490 0.89126 24.7% - 0s
0 2 0.89126 0 118 0.71490 0.89126 24.7% - 0s
741 488 0.82273 18 141 0.71490 0.83666 17.0% 19.1 5s
1155 600 cutoff 25 0.71490 0.83267 16.5% 33.7 10s
2008 724 0.78662 29 121 0.71490 0.80758 13.0% 39.2 15s
3011 1031 0.71847 37 116 0.71490 0.79820 11.7% 40.4 20s
4137 1377 0.78324 31 126 0.71490 0.79187 10.8% 39.0 25s
5139 1580 cutoff 35 0.71490 0.78866 10.3% 38.8 30s
6464 1907 cutoff 40 0.71490 0.78528 9.85% 38.1 36s
7275 2075 0.76893 36 128 0.71490 0.78308 9.54% 38.1 41s
8102 2312 0.74631 44 127 0.71490 0.78107 9.26% 38.2 45s
9404 2538 cutoff 37 0.71490 0.77803 8.83% 38.8 50s
10589 2826 0.75889 36 108 0.71490 0.77619 8.57% 38.6 55s
11955 3138 0.74462 34 144 0.71490 0.77390 8.25% 38.3 60s
13175 3409 0.72015 130 58 0.71490 0.77187 7.97% 38.5 66s
13662 3521 0.72809 42 126 0.71490 0.77130 7.89% 38.3 70s
14900 3731 0.76034 38 123 0.71490 0.76934 7.61% 38.4 75s
16166 3980 0.74381 30 143 0.71490 0.76771 7.39% 38.3 80s
17362 4146 0.73941 58 119 0.71490 0.76615 7.17% 38.2 85s
18534 4310 0.76090 37 116 0.71490 0.76463 6.96% 38.4 91s
19905 4698 cutoff 71 0.71490 0.76274 6.69% 38.0 95s
21152 4947 0.74725 50 112 0.71490 0.76108 6.46% 37.9 116s
22183 5153 0.73243 39 141 0.71490 0.75993 6.30% 37.9 121s
23168 5364 cutoff 44 0.71490 0.75901 6.17% 38.1 126s
24137 5627 0.73401 42 154 0.71490 0.75805 6.04% 38.4 131s
25144 5864 cutoff 61 0.71490 0.75732 5.93% 38.6 136s
26106 6059 cutoff 56 0.71490 0.75645 5.81% 38.9 141s
26853 6187 0.72844 57 110 0.71490 0.75603 5.75% 38.9 145s
27946 6414 0.74817 49 147 0.71490 0.75527 5.65% 39.1 150s
29126 6689 cutoff 35 0.71490 0.75472 5.57% 39.0 156s
30163 6948 cutoff 47 0.71490 0.75397 5.47% 39.1 161s
30828 7013 cutoff 58 0.71490 0.75386 5.45% 39.4 165s
31580 7152 cutoff 68 0.71490 0.75374 5.43% 39.5 172s
32380 7350 cutoff 73 0.71490 0.75300 5.33% 39.4 176s
33608 7625 0.74148 41 142 0.71490 0.75254 5.27% 39.4 181s
34409 7801 0.74558 70 117 0.71490 0.75213 5.21% 39.4 185s
35189 7976 0.73983 65 132 0.71490 0.75183 5.17% 39.4 190s
36385 8248 0.74827 56 114 0.71490 0.75140 5.11% 39.4 196s
37182 8455 infeasible 36 0.71490 0.75113 5.07% 39.5 200s
38422 8749 0.73598 62 132 0.71490 0.75072 5.01% 39.5 206s
39272 8913 cutoff 60 0.71490 0.75043 4.97% 39.4 210s
40545 9143 0.73650 65 146 0.71490 0.75004 4.92% 39.4 216s
41421 9319 cutoff 41 0.71490 0.74982 4.89% 39.4 220s
42669 9530 0.72887 66 124 0.71490 0.74940 4.83% 39.5 226s
43566 9729 0.73193 64 112 0.71490 0.74914 4.79% 39.4 230s
44459 9942 0.72102 64 139 0.71490 0.74890 4.76% 39.3 235s
45747 10220 cutoff 70 0.71490 0.74864 4.72% 39.3 241s
47123 10494 0.71929 61 130 0.71490 0.74832 4.67% 39.2 246s
47829 10577 0.72283 53 110 0.71490 0.74815 4.65% 39.3 250s
49025 10815 0.73070 62 132 0.71490 0.74783 4.61% 39.4 256s
49870 10954 0.72578 66 106 0.71490 0.74767 4.58% 39.4 260s
51289 11222 0.74170 40 148 0.71490 0.74742 4.55% 39.3 265s
52461 11431 cutoff 43 0.71490 0.74721 4.52% 39.3 271s
53398 11607 infeasible 42 0.71490 0.74699 4.49% 39.2 275s
54485 11758 0.73135 49 132 0.71490 0.74679 4.46% 39.4 281s
55213 11887 cutoff 39 0.71490 0.74668 4.44% 39.5 285s
55948 11939 0.73598 65 123 0.71490 0.74648 4.42% 39.6 291s
56734 12058 cutoff 79 0.71490 0.74628 4.39% 39.6 295s
57846 12239 0.72823 51 136 0.71490 0.74604 4.36% 39.7 301s
58560 12341 0.72286 72 123 0.71490 0.74590 4.34% 39.8 305s
59328 12425 0.73351 45 125 0.71490 0.74575 4.32% 39.9 310s
60669 12602 0.73262 55 141 0.71490 0.74548 4.28% 39.9 316s
61519 12735 cutoff 64 0.71490 0.74534 4.26% 39.9 320s
62318 12814 0.72661 61 127 0.71490 0.74519 4.24% 40.0 325s
63596 13015 0.71718 69 123 0.71490 0.74501 4.21% 40.0 331s
64311 13085 cutoff 51 0.71490 0.74486 4.19% 40.1 335s
65475 13215 cutoff 55 0.71490 0.74465 4.16% 40.2 341s
66302 13307 0.73139 69 108 0.71490 0.74448 4.14% 40.2 345s
67183 13407 0.71914 69 126 0.71490 0.74432 4.12% 40.2 350s
68392 13558 0.74040 62 120 0.71490 0.74410 4.08% 40.3 356s
69052 13575 0.73227 54 129 0.71490 0.74395 4.06% 40.4 360s
69407 13626 cutoff 66 0.71490 0.74388 4.05% 40.5 365s
70119 13710 0.73360 54 129 0.71490 0.74378 4.04% 40.5 370s
71281 13803 0.72434 75 117 0.71490 0.74355 4.01% 40.6 377s
H71880 13949 0.7149001 0.74350 4.00% 40.6 379s
71912 13901 cutoff 52 0.71490 0.74348 4.00% 40.6 381s
72927 14053 0.73927 35 148 0.71490 0.74338 3.98% 40.6 386s
73716 14127 infeasible 64 0.71490 0.74317 3.96% 40.7 391s
74500 14172 0.74244 64 128 0.71490 0.74304 3.94% 40.8 395s
74976 14206 cutoff 46 0.71490 0.74295 3.92% 40.8 401s
75754 14265 0.74277 71 104 0.71490 0.74280 3.90% 40.9 406s
76467 14313 0.74198 62 134 0.71490 0.74269 3.89% 41.0 411s
77204 14380 cutoff 49 0.71490 0.74254 3.87% 41.1 415s
78063 14438 0.72739 85 103 0.71490 0.74241 3.85% 41.2 420s
79397 14575 0.73939 50 129 0.71490 0.74215 3.81% 41.2 427s
80228 14679 0.73806 68 115 0.71490 0.74200 3.79% 41.3 432s
81103 14748 0.74017 47 140 0.71490 0.74186 3.77% 41.3 436s
81931 14803 cutoff 59 0.71490 0.74172 3.75% 41.4 441s
82670 14845 0.72454 69 146 0.71490 0.74161 3.74% 41.5 446s
83521 14927 0.72498 65 126 0.71490 0.74145 3.71% 41.5 450s
84378 14988 0.72324 59 132 0.71490 0.74131 3.69% 41.6 455s
85324 15032 0.73540 45 141 0.71490 0.74112 3.67% 41.6 460s
86170 15104 0.71546 55 110 0.71490 0.74098 3.65% 41.6 465s
86993 15156 cutoff 70 0.71490 0.74085 3.63% 41.7 470s
88212 15204 0.72274 76 94 0.71490 0.74059 3.59% 41.8 476s
89122 15275 0.73536 40 149 0.71490 0.74044 3.57% 41.9 481s
89914 15303 cutoff 34 0.71490 0.74027 3.55% 42.0 486s
90746 15352 cutoff 37 0.71490 0.74009 3.52% 42.1 491s
91558 15367 0.72428 74 112 0.71490 0.73997 3.51% 42.1 495s
92357 15386 cutoff 58 0.71490 0.73983 3.49% 42.2 500s
93243 15431 0.72480 53 147 0.71490 0.73965 3.46% 42.3 506s
94041 15485 0.73542 47 137 0.71490 0.73951 3.44% 42.3 510s
94802 15522 0.73899 62 129 0.71490 0.73938 3.42% 42.4 515s
95716 15558 cutoff 46 0.71490 0.73927 3.41% 42.5 520s
96583 15642 cutoff 56 0.71490 0.73913 3.39% 42.5 525s
97558 15732 cutoff 56 0.71490 0.73901 3.37% 42.6 530s
98341 15740 cutoff 49 0.71490 0.73887 3.35% 42.7 535s
99270 15820 cutoff 75 0.71490 0.73872 3.33% 42.7 540s
100702 15942 cutoff 50 0.71490 0.73849 3.30% 42.7 546s
101548 15970 cutoff 90 0.71490 0.73835 3.28% 42.8 551s
102428 16024 0.72834 71 119 0.71490 0.73821 3.26% 42.8 556s
103328 16067 cutoff 47 0.71490 0.73807 3.24% 42.9 560s
103757 16125 0.72368 63 121 0.71490 0.73801 3.23% 42.9 565s
104146 16060 0.73792 50 133 0.71490 0.73794 3.22% 43.0 570s
104946 16036 0.73174 64 128 0.71490 0.73777 3.20% 43.0 575s
105869 16076 0.73124 54 133 0.71490 0.73762 3.18% 43.0 580s
106614 16079 cutoff 64 0.71490 0.73744 3.15% 43.1 585s
107772 16103 0.72177 59 126 0.71490 0.73723 3.12% 43.2 591s
108534 16140 0.73586 68 120 0.71490 0.73709 3.10% 43.3 596s
109339 16144 0.72906 67 135 0.71490 0.73696 3.09% 43.4 600s
Cutting planes:
Gomory: 180
Cover: 3
Implied bound: 81
Projected implied bound: 41
Clique: 2
MIR: 33
Flow cover: 200
Inf proof: 366
Explored 109639 nodes (4756980 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.7149 0.7149
Time limit reached
Best objective 7.149000531974e-01, best bound 7.368716043501e-01, gap 3.0734%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaj7ribsy.pyomo.lp
Reading time = 0.02 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa5mum_x6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.710831
Presolve removed 774 rows and 501 columns
Presolve time: 0.06s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 9.475226e-01, 1140 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94752 0 98 0.71083 0.94752 33.3% - 0s
0 0 0.91102 0 125 0.71083 0.91102 28.2% - 0s
0 0 0.91002 0 127 0.71083 0.91002 28.0% - 0s
0 0 0.89725 0 124 0.71083 0.89725 26.2% - 0s
0 0 0.89716 0 121 0.71083 0.89716 26.2% - 0s
0 0 0.89535 0 135 0.71083 0.89535 26.0% - 0s
0 0 0.89535 0 134 0.71083 0.89535 26.0% - 0s
0 0 0.89446 0 145 0.71083 0.89446 25.8% - 0s
0 0 0.89445 0 145 0.71083 0.89445 25.8% - 0s
0 0 0.89428 0 148 0.71083 0.89428 25.8% - 0s
0 0 0.89428 0 144 0.71083 0.89428 25.8% - 0s
0 0 0.89427 0 146 0.71083 0.89427 25.8% - 0s
0 0 0.89427 0 123 0.71083 0.89427 25.8% - 0s
0 2 0.89427 0 123 0.71083 0.89427 25.8% - 0s
749 487 0.76402 33 139 0.71083 0.83100 16.9% 26.6 5s
1135 565 0.80222 23 146 0.71083 0.83100 16.9% 38.4 10s
2116 826 0.80544 21 159 0.71083 0.82168 15.6% 37.9 15s
3031 1191 0.80921 28 140 0.71083 0.81172 14.2% 39.4 20s
3746 1443 0.77794 30 149 0.71083 0.80701 13.5% 40.5 25s
4708 1819 0.79806 22 144 0.71083 0.80426 13.1% 40.0 30s
5644 2067 cutoff 28 0.71083 0.80112 12.7% 41.7 35s
H 6037 2192 0.7108306 0.79975 12.5% 42.0 37s
6802 2525 0.74911 34 138 0.71083 0.79785 12.2% 40.8 40s
7930 2851 infeasible 33 0.71083 0.79499 11.8% 40.9 46s
8779 3052 0.77280 26 152 0.71083 0.79186 11.4% 41.4 50s
9541 3273 cutoff 37 0.71083 0.78979 11.1% 41.5 55s
10631 3514 0.78383 24 156 0.71083 0.78659 10.7% 42.2 60s
11767 3713 0.71391 43 130 0.71083 0.78336 10.2% 43.0 66s
12422 3787 0.75696 28 136 0.71083 0.78149 9.94% 43.7 70s
13606 4055 0.72624 33 144 0.71083 0.77886 9.57% 44.1 76s
14001 4105 0.72090 37 110 0.71083 0.77768 9.40% 44.3 80s
15185 4436 cutoff 26 0.71083 0.77575 9.13% 44.2 86s
16380 4654 0.76708 33 131 0.71083 0.77360 8.83% 44.5 91s
17363 5013 cutoff 33 0.71083 0.77252 8.68% 44.2 95s
18421 5235 0.72291 49 111 0.71083 0.77092 8.45% 44.5 101s
19020 5401 0.75802 30 137 0.71083 0.77003 8.33% 44.4 105s
20270 5701 cutoff 32 0.71083 0.76839 8.10% 44.2 111s
20658 5782 0.72522 71 123 0.71083 0.76797 8.04% 44.2 130s
20669 5789 0.71335 54 197 0.71083 0.76797 8.04% 44.2 135s
20673 5792 0.74916 57 201 0.71083 0.76797 8.04% 44.2 140s
20677 5795 0.72896 51 214 0.71083 0.76797 8.04% 44.2 145s
20680 5797 0.73960 37 203 0.71083 0.76797 8.04% 44.2 150s
20685 5800 0.75356 35 210 0.71083 0.76797 8.04% 44.2 156s
20688 5802 0.71448 49 210 0.71083 0.76797 8.04% 44.2 160s
20694 5806 0.75923 40 212 0.71083 0.76797 8.04% 44.1 165s
20700 5810 0.72140 49 219 0.71083 0.76797 8.04% 44.1 170s
20706 5814 0.75902 52 228 0.71083 0.76797 8.04% 44.1 175s
20710 5817 0.73592 41 201 0.71083 0.76797 8.04% 44.1 181s
20713 5819 0.74382 41 213 0.71083 0.76797 8.04% 44.1 185s
20717 5821 0.71307 57 203 0.71083 0.76797 8.04% 44.1 190s
20721 5824 0.73916 41 204 0.71083 0.76797 8.04% 44.1 196s
20723 5825 0.75688 30 227 0.71083 0.76797 8.04% 44.1 200s
20726 5827 0.73641 37 210 0.71083 0.76797 8.04% 44.1 206s
20728 5829 0.73552 39 218 0.71083 0.76797 8.04% 44.1 210s
20731 5831 0.72563 58 213 0.71083 0.76797 8.04% 44.1 215s
20735 5833 0.71787 45 219 0.71083 0.76797 8.04% 44.1 220s
20739 5836 0.75232 41 220 0.71083 0.76797 8.04% 44.1 226s
20744 5839 0.71411 100 225 0.71083 0.76797 8.04% 44.0 231s
20748 5842 0.72558 39 226 0.71083 0.76797 8.04% 44.0 235s
20752 5845 0.74699 38 230 0.71083 0.76797 8.04% 44.0 240s
20756 5847 0.75502 36 227 0.71083 0.76797 8.04% 44.0 245s
20760 5850 0.72527 32 206 0.71083 0.76797 8.04% 44.0 250s
20763 5852 0.75242 41 234 0.71083 0.76797 8.04% 44.0 255s
20766 5854 0.76083 29 224 0.71083 0.76797 8.04% 44.0 261s
20770 5857 0.74816 28 226 0.71083 0.76797 8.04% 44.0 266s
20773 5859 0.74916 57 246 0.71083 0.76797 8.04% 44.0 270s
H20773 5564 0.7108306 0.76797 8.04% 44.0 271s
20778 5567 0.75714 36 235 0.71083 0.76797 8.04% 44.0 276s
20781 5569 0.73754 32 241 0.71083 0.76797 8.04% 44.0 280s
20784 5571 0.75764 33 232 0.71083 0.76797 8.04% 44.0 286s
20788 5574 0.71448 49 238 0.71083 0.76797 8.04% 43.9 291s
20792 5576 0.76685 35 246 0.71083 0.76797 8.04% 43.9 296s
20796 5579 0.74626 28 237 0.71083 0.76797 8.04% 43.9 302s
20798 5580 0.73451 30 229 0.71083 0.76797 8.04% 43.9 305s
20802 5583 0.76083 29 240 0.71083 0.76797 8.04% 43.9 310s
20807 5586 0.76666 43 244 0.71083 0.76797 8.04% 43.9 315s
20810 5588 0.73592 41 234 0.71083 0.76797 8.04% 43.9 321s
20813 5590 0.74382 41 236 0.71083 0.76797 8.04% 43.9 325s
20817 5593 0.71307 57 249 0.71083 0.76797 8.04% 43.9 330s
20820 5595 0.74958 49 240 0.71083 0.76797 8.04% 43.9 336s
20822 5596 0.71597 56 228 0.71083 0.76797 8.04% 43.9 340s
20826 5599 0.73641 37 241 0.71083 0.76797 8.04% 43.9 345s
20830 5602 0.76222 36 238 0.71083 0.76797 8.04% 43.9 350s
20835 5605 0.71787 45 241 0.71083 0.76797 8.04% 43.8 355s
20838 5607 0.76430 31 237 0.71083 0.76797 8.04% 43.8 360s
20841 5611 0.75061 21 192 0.71083 0.76797 8.04% 45.7 367s
20843 5609 infeasible 22 0.71083 0.76797 8.04% 45.7 372s
20846 5608 0.76767 23 235 0.71083 0.76796 8.04% 45.8 378s
20848 5608 infeasible 24 0.71083 0.76753 7.98% 45.8 385s
20850 5607 0.76576 25 244 0.71083 0.76594 7.75% 45.8 391s
20852 5608 0.76264 26 254 0.71083 0.76496 7.61% 45.8 396s
20870 5617 0.73683 31 203 0.71083 0.76349 7.41% 45.9 402s
20944 5647 cutoff 49 0.71083 0.76349 7.41% 46.0 405s
21185 5705 0.74314 32 217 0.71083 0.76178 7.17% 46.3 410s
21413 5769 0.73791 48 191 0.71083 0.76161 7.14% 46.9 415s
21835 5906 0.72122 82 136 0.71083 0.76094 7.05% 47.3 420s
22097 5926 0.75196 39 205 0.71083 0.75888 6.76% 47.8 425s
22417 6025 cutoff 36 0.71083 0.75807 6.65% 48.3 430s
22620 6053 0.73908 37 192 0.71083 0.75632 6.40% 49.0 435s
22960 6111 0.72232 49 199 0.71083 0.75528 6.25% 50.0 441s
23097 6087 0.73896 39 180 0.71083 0.75457 6.15% 50.6 446s
23413 6176 0.73631 38 196 0.71083 0.75350 6.00% 51.3 451s
23696 6234 0.74742 44 206 0.71083 0.75285 5.91% 51.8 455s
24266 6367 0.73799 40 208 0.71083 0.75199 5.79% 52.5 461s
24676 6441 0.73698 53 177 0.71083 0.75139 5.71% 53.0 466s
25020 6529 0.72385 41 194 0.71083 0.75084 5.63% 53.8 471s
25307 6575 0.73376 44 198 0.71083 0.75053 5.59% 54.3 476s
25741 6621 0.72851 54 188 0.71083 0.74993 5.50% 55.2 481s
25882 6631 0.73430 58 170 0.71083 0.74985 5.49% 55.4 487s
26002 6632 0.73515 58 143 0.71083 0.74973 5.47% 55.7 490s
26399 6642 0.74201 41 201 0.71083 0.74915 5.39% 56.9 497s
26648 6637 0.73713 38 205 0.71083 0.74867 5.32% 57.4 501s
26833 6662 0.71453 52 175 0.71083 0.74826 5.27% 58.0 505s
27387 6732 0.72791 61 112 0.71083 0.74776 5.19% 59.0 512s
27620 6740 0.73016 42 196 0.71083 0.74742 5.15% 59.6 516s
27872 6748 0.73049 35 201 0.71083 0.74718 5.11% 60.3 520s
28227 6742 0.72640 51 185 0.71083 0.74669 5.05% 61.3 528s
28454 6737 cutoff 40 0.71083 0.74631 4.99% 62.1 532s
28701 6730 0.71737 42 185 0.71083 0.74616 4.97% 62.9 537s
29001 6734 0.71408 64 153 0.71083 0.74575 4.91% 63.4 542s
29256 6738 cutoff 52 0.71083 0.74547 4.87% 64.0 547s
29519 6760 0.71542 54 171 0.71083 0.74537 4.86% 64.8 553s
29809 6739 0.72311 37 210 0.71083 0.74502 4.81% 65.6 558s
30123 6736 0.73335 42 203 0.71083 0.74478 4.78% 66.3 563s
30487 6742 0.72662 41 202 0.71083 0.74419 4.69% 67.1 569s
30828 6726 0.72231 53 174 0.71083 0.74401 4.67% 68.1 574s
31182 6754 0.71237 65 108 0.71083 0.74367 4.62% 68.7 580s
31426 6720 0.73131 39 203 0.71083 0.74330 4.57% 69.4 585s
31751 6707 0.71738 58 156 0.71083 0.74301 4.53% 70.2 591s
32033 6660 0.71767 48 172 0.71083 0.74285 4.50% 71.0 596s
32371 6638 0.73604 55 165 0.71083 0.74265 4.48% 71.8 600s
Cutting planes:
Gomory: 213
Cover: 4
Implied bound: 28
Projected implied bound: 49
Clique: 2
MIR: 166
StrongCG: 6
Flow cover: 599
Inf proof: 56
Zero half: 2
Explored 32606 nodes (2352790 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.710831 0.710831 0.710831
Time limit reached
Best objective 7.108306304161e-01, best bound 7.425378634599e-01, gap 4.4606%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr__5qoxs.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppx4erjfs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.705454
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 9.401370e-01, 1236 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94014 0 106 0.70545 0.94014 33.3% - 0s
0 0 0.92199 0 137 0.70545 0.92199 30.7% - 0s
0 0 0.92196 0 137 0.70545 0.92196 30.7% - 0s
0 0 0.91205 0 147 0.70545 0.91205 29.3% - 0s
0 0 0.91205 0 147 0.70545 0.91205 29.3% - 0s
0 0 0.91167 0 147 0.70545 0.91167 29.2% - 0s
0 0 0.91166 0 146 0.70545 0.91166 29.2% - 0s
0 0 0.91160 0 152 0.70545 0.91160 29.2% - 0s
0 0 0.91160 0 151 0.70545 0.91160 29.2% - 0s
0 0 0.91142 0 147 0.70545 0.91142 29.2% - 0s
0 0 0.91142 0 147 0.70545 0.91142 29.2% - 0s
0 0 0.91122 0 147 0.70545 0.91122 29.2% - 0s
0 0 0.91122 0 117 0.70545 0.91122 29.2% - 0s
0 2 0.91122 0 115 0.70545 0.91122 29.2% - 0s
1085 597 0.72143 50 121 0.70545 0.82951 17.6% 23.2 5s
3066 1064 0.78001 37 114 0.70545 0.78946 11.9% 21.6 10s
4849 1895 cutoff 49 0.70545 0.78155 10.8% 20.4 15s
6947 2377 0.72528 37 117 0.70545 0.77345 9.64% 22.0 20s
8668 2762 infeasible 51 0.70545 0.76913 9.03% 22.5 25s
10033 2989 0.73397 51 112 0.70545 0.76508 8.45% 22.8 30s
11781 3201 0.75356 37 123 0.70545 0.76047 7.80% 23.2 35s
H12993 3509 0.7054540 0.75845 7.51% 23.0 38s
14068 3787 0.72022 37 117 0.70545 0.75734 7.35% 22.7 40s
16392 4545 cutoff 42 0.70545 0.75411 6.90% 22.1 45s
19301 5547 0.73818 61 107 0.70545 0.75198 6.59% 21.4 50s
20650 6021 0.71676 108 117 0.70545 0.75057 6.40% 21.2 70s
20664 6030 0.72880 35 243 0.70545 0.75057 6.40% 21.1 75s
20675 6038 0.71588 45 253 0.70545 0.75057 6.40% 21.1 80s
20688 6046 0.70795 86 258 0.70545 0.75057 6.40% 21.1 85s
20697 6052 0.74006 68 255 0.70545 0.75057 6.40% 21.1 90s
20701 6058 0.75057 22 226 0.70545 0.75057 6.40% 21.3 95s
20709 6058 0.75057 25 205 0.70545 0.75057 6.40% 21.4 102s
20823 6072 cutoff 48 0.70545 0.75057 6.40% 21.6 105s
21165 6143 0.75057 38 173 0.70545 0.75057 6.40% 22.1 111s
21661 6258 0.71985 138 81 0.70545 0.75057 6.40% 22.8 115s
22434 6314 0.70983 49 142 0.70545 0.75057 6.40% 23.8 120s
23159 6314 0.71197 48 153 0.70545 0.75057 6.40% 24.7 125s
23768 6248 0.75057 45 140 0.70545 0.75057 6.40% 25.7 130s
24581 6257 0.75057 39 148 0.70545 0.75057 6.40% 26.7 135s
25387 6234 0.74805 48 140 0.70545 0.75057 6.40% 27.6 140s
25718 6225 0.71777 35 139 0.70545 0.75057 6.40% 28.1 145s
26849 6270 0.72639 46 142 0.70545 0.75057 6.40% 28.8 151s
27602 6270 0.70773 47 134 0.70545 0.75057 6.40% 29.6 156s
28464 6183 0.73484 40 122 0.70545 0.75057 6.40% 30.5 161s
28797 6200 0.71810 56 143 0.70545 0.75057 6.40% 30.8 165s
29663 6212 0.73790 38 148 0.70545 0.75057 6.40% 31.2 171s
30465 6193 0.72835 55 155 0.70545 0.75057 6.40% 31.8 176s
31289 6131 cutoff 50 0.70545 0.75057 6.40% 32.3 181s
32201 6074 infeasible 47 0.70545 0.75057 6.40% 33.0 187s
33267 6005 infeasible 51 0.70545 0.75057 6.40% 33.4 191s
34580 6085 0.70758 59 133 0.70545 0.75057 6.40% 33.6 196s
35749 6168 0.72765 54 146 0.70545 0.75046 6.38% 33.7 201s
36540 6150 0.74372 55 147 0.70545 0.74986 6.30% 34.0 205s
37583 6144 0.72029 88 109 0.70545 0.74934 6.22% 34.1 210s
38680 6139 cutoff 50 0.70545 0.74877 6.14% 34.3 215s
40097 6493 0.74071 47 142 0.70545 0.74803 6.04% 34.7 221s
40852 6673 0.71778 53 139 0.70545 0.74732 5.93% 35.0 225s
41492 6834 0.72164 72 122 0.70545 0.74683 5.87% 35.3 230s
42642 7120 cutoff 60 0.70545 0.74639 5.80% 35.7 236s
43398 7286 0.71564 70 112 0.70545 0.74579 5.72% 36.0 241s
44154 7477 0.72435 40 160 0.70545 0.74540 5.66% 36.2 245s
45609 7883 0.73074 58 143 0.70545 0.74465 5.56% 36.4 251s
46379 8025 infeasible 53 0.70545 0.74439 5.52% 36.6 255s
47207 8258 cutoff 57 0.70545 0.74405 5.47% 36.8 260s
48053 8475 infeasible 50 0.70545 0.74377 5.43% 36.9 265s
49571 8923 0.72966 54 142 0.70545 0.74318 5.35% 37.1 271s
50368 9115 0.72661 74 108 0.70545 0.74291 5.31% 37.2 275s
51632 9413 cutoff 77 0.70545 0.74248 5.25% 37.5 281s
52626 9649 cutoff 38 0.70545 0.74231 5.22% 37.6 285s
53363 9812 0.72603 76 131 0.70545 0.74203 5.18% 37.8 290s
54745 10193 0.73443 66 129 0.70545 0.74167 5.13% 38.0 296s
55562 10421 cutoff 53 0.70545 0.74151 5.11% 38.1 300s
56775 10742 0.71953 63 128 0.70545 0.74120 5.07% 38.2 306s
57758 10994 infeasible 73 0.70545 0.74102 5.04% 38.3 310s
58891 11216 0.72343 60 140 0.70545 0.74071 5.00% 38.5 316s
59716 11375 infeasible 79 0.70545 0.74052 4.97% 38.6 320s
60579 11577 0.72520 58 143 0.70545 0.74032 4.94% 38.7 325s
61806 11823 0.71802 77 122 0.70545 0.74005 4.90% 38.8 331s
62617 11949 cutoff 52 0.70545 0.73989 4.88% 38.9 335s
63323 12117 0.73848 58 153 0.70545 0.73970 4.85% 39.0 340s
64515 12329 cutoff 65 0.70545 0.73948 4.82% 39.2 346s
65287 12465 infeasible 61 0.70545 0.73921 4.78% 39.4 350s
65741 12532 cutoff 118 0.70545 0.73912 4.77% 39.4 356s
66471 12610 0.70605 62 116 0.70545 0.73898 4.75% 39.6 361s
67264 12764 0.71423 77 104 0.70545 0.73881 4.73% 39.8 365s
68069 12860 0.71435 73 114 0.70545 0.73863 4.70% 39.8 370s
68960 12988 0.71349 52 128 0.70545 0.73848 4.68% 39.9 375s
69790 13100 0.72512 40 179 0.70545 0.73833 4.66% 40.1 380s
70553 13212 cutoff 61 0.70545 0.73821 4.64% 40.2 385s
71740 13377 cutoff 75 0.70545 0.73794 4.61% 40.4 391s
72572 13539 0.72136 52 118 0.70545 0.73776 4.58% 40.5 395s
73339 13639 cutoff 73 0.70545 0.73766 4.57% 40.6 400s
74172 13734 0.72832 73 121 0.70545 0.73751 4.54% 40.7 405s
75467 13958 0.72008 71 120 0.70545 0.73725 4.51% 40.8 411s
76301 14040 0.72287 87 117 0.70545 0.73710 4.49% 40.9 415s
77267 14226 0.72016 73 119 0.70545 0.73694 4.46% 40.9 420s
78582 14386 0.71473 82 105 0.70545 0.73670 4.43% 41.0 426s
79427 14536 0.71653 85 106 0.70545 0.73657 4.41% 41.1 430s
80273 14653 0.71510 57 109 0.70545 0.73642 4.39% 41.1 435s
81514 14850 0.71787 63 137 0.70545 0.73621 4.36% 41.3 442s
82366 14956 0.71361 68 108 0.70545 0.73607 4.34% 41.3 446s
83211 15077 cutoff 60 0.70545 0.73591 4.32% 41.4 451s
84066 15217 cutoff 69 0.70545 0.73575 4.29% 41.5 457s
84555 15239 0.73041 64 124 0.70545 0.73566 4.28% 41.5 462s
85367 15296 0.72094 39 168 0.70545 0.73553 4.26% 41.6 466s
86305 15475 0.70985 61 105 0.70545 0.73539 4.24% 41.6 471s
87106 15585 0.72432 62 128 0.70545 0.73528 4.23% 41.7 476s
87914 15694 0.72810 61 120 0.70545 0.73513 4.21% 41.7 480s
88740 15771 0.70982 73 118 0.70545 0.73499 4.19% 41.8 485s
89568 15865 0.72690 57 134 0.70545 0.73484 4.17% 41.9 490s
90380 15945 0.73203 56 146 0.70545 0.73472 4.15% 42.0 495s
91311 16079 0.71387 74 139 0.70545 0.73462 4.13% 42.0 500s
92162 16191 cutoff 67 0.70545 0.73445 4.11% 42.1 505s
92978 16325 infeasible 63 0.70545 0.73432 4.09% 42.1 510s
94284 16499 infeasible 63 0.70545 0.73411 4.06% 42.1 516s
95275 16630 0.71524 74 117 0.70545 0.73395 4.04% 42.2 521s
96186 16747 cutoff 77 0.70545 0.73382 4.02% 42.2 526s
97055 16874 cutoff 56 0.70545 0.73366 4.00% 42.3 531s
97966 16995 infeasible 48 0.70545 0.73355 3.98% 42.3 535s
98796 17075 0.71292 56 122 0.70545 0.73345 3.97% 42.4 540s
100062 17213 0.71063 38 181 0.70545 0.73329 3.95% 42.4 546s
100885 17308 cutoff 51 0.70545 0.73318 3.93% 42.5 551s
101330 17373 0.72509 44 132 0.70545 0.73312 3.92% 42.5 556s
102206 17497 0.71400 51 125 0.70545 0.73301 3.91% 42.6 561s
103060 17582 0.72234 50 140 0.70545 0.73292 3.89% 42.6 566s
103979 17664 0.71666 64 110 0.70545 0.73279 3.87% 42.7 571s
104941 17782 cutoff 80 0.70545 0.73266 3.86% 42.7 575s
105839 17906 0.72780 82 107 0.70545 0.73255 3.84% 42.7 580s
107120 18031 0.71419 48 110 0.70545 0.73240 3.82% 42.8 586s
108140 18142 0.72231 62 120 0.70545 0.73229 3.80% 42.8 591s
109047 18243 0.72556 61 131 0.70545 0.73220 3.79% 42.8 596s
109912 18332 0.72713 56 127 0.70545 0.73207 3.77% 42.8 600s
Cutting planes:
Gomory: 210
Cover: 2
Implied bound: 36
Projected implied bound: 84
MIR: 31
Flow cover: 138
Inf proof: 2
Explored 110229 nodes (4726375 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.705454 0.705454
Time limit reached
Best objective 7.054540396485e-01, best bound 7.320208697249e-01, gap 3.7659%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpg_nghtav.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaczs3qld.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.698142
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 9.269907e-01, 1195 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92699 0 104 0.69814 0.92699 32.8% - 0s
0 0 0.89481 0 133 0.69814 0.89481 28.2% - 0s
0 0 0.89481 0 133 0.69814 0.89481 28.2% - 0s
0 0 0.87559 0 132 0.69814 0.87559 25.4% - 0s
0 0 0.87553 0 129 0.69814 0.87553 25.4% - 0s
0 0 0.87268 0 132 0.69814 0.87268 25.0% - 0s
0 0 0.87261 0 129 0.69814 0.87261 25.0% - 0s
0 0 0.87209 0 138 0.69814 0.87209 24.9% - 0s
0 0 0.87209 0 138 0.69814 0.87209 24.9% - 0s
0 0 0.87192 0 137 0.69814 0.87192 24.9% - 0s
0 0 0.87192 0 121 0.69814 0.87192 24.9% - 0s
0 2 0.87192 0 118 0.69814 0.87192 24.9% - 0s
737 486 0.76994 41 167 0.69814 0.81174 16.3% 21.2 5s
1083 524 0.72614 18 154 0.69814 0.81174 16.3% 36.3 10s
H 1320 559 0.6981420 0.81174 16.3% 38.9 13s
1578 552 0.75158 34 142 0.69814 0.81174 16.3% 39.8 15s
2553 795 0.74150 25 131 0.69814 0.79608 14.0% 43.1 20s
3226 903 0.77569 28 130 0.69814 0.78745 12.8% 47.3 25s
4268 1179 cutoff 27 0.69814 0.78053 11.8% 47.8 30s
5110 1452 0.74183 36 145 0.69814 0.77319 10.8% 47.2 35s
6099 1730 cutoff 36 0.69814 0.76616 9.74% 46.3 40s
7277 2206 0.75451 32 148 0.69814 0.76221 9.18% 44.4 45s
H 7917 2383 0.6981420 0.75973 8.82% 44.8 48s
8356 2481 cutoff 32 0.69814 0.75879 8.69% 45.1 51s
9077 2654 cutoff 53 0.69814 0.75694 8.42% 45.4 55s
10219 2893 0.74162 33 130 0.69814 0.75401 8.00% 45.0 61s
11418 3189 0.72908 54 128 0.69814 0.75177 7.68% 45.0 66s
12130 3397 cutoff 41 0.69814 0.75076 7.54% 44.4 70s
13449 3716 0.71609 45 135 0.69814 0.74882 7.26% 43.8 76s
14341 3929 0.70662 53 133 0.69814 0.74783 7.12% 43.6 80s
15711 4278 0.70214 95 96 0.69814 0.74689 6.98% 43.0 86s
16144 4330 infeasible 23 0.69814 0.74601 6.86% 43.1 90s
17487 4645 cutoff 40 0.69814 0.74428 6.61% 42.9 95s
18831 5009 0.72197 34 154 0.69814 0.74324 6.46% 42.5 101s
19654 5148 0.73300 48 135 0.69814 0.74261 6.37% 42.5 105s
20543 5373 0.74155 43 121 0.69814 0.74196 6.28% 42.3 125s
20554 5380 0.72581 44 200 0.69814 0.74196 6.28% 42.3 130s
20558 5383 0.71187 39 197 0.69814 0.74196 6.28% 42.2 136s
20563 5386 0.71506 104 208 0.69814 0.74196 6.28% 42.2 140s
20568 5390 0.72877 86 223 0.69814 0.74196 6.28% 42.2 145s
20574 5394 0.70825 110 236 0.69814 0.74196 6.28% 42.2 150s
20577 5396 0.72862 51 230 0.69814 0.74196 6.28% 42.2 155s
20581 5398 0.72684 84 228 0.69814 0.74196 6.28% 42.2 161s
20585 5401 0.72192 55 238 0.69814 0.74196 6.28% 42.2 166s
20590 5404 0.73966 34 246 0.69814 0.74196 6.28% 42.2 170s
20596 5408 0.73210 54 236 0.69814 0.74196 6.28% 42.2 175s
20600 5411 0.73787 42 218 0.69814 0.74196 6.28% 42.2 180s
20605 5414 0.73615 39 246 0.69814 0.74196 6.28% 42.2 186s
20608 5416 0.73778 50 252 0.69814 0.74196 6.28% 42.1 190s
20611 5418 0.73362 60 246 0.69814 0.74196 6.28% 42.1 195s
20615 5421 0.71638 34 237 0.69814 0.74196 6.28% 42.1 200s
20619 5424 0.70733 55 243 0.69814 0.74196 6.28% 42.1 206s
20622 5426 0.73381 40 252 0.69814 0.74196 6.28% 42.1 210s
20627 5429 0.71035 37 247 0.69814 0.74196 6.28% 42.1 216s
20631 5432 0.71008 51 258 0.69814 0.74196 6.28% 42.1 221s
20634 5434 0.71226 60 256 0.69814 0.74196 6.28% 42.1 225s
20639 5437 0.71857 29 253 0.69814 0.74196 6.28% 42.1 231s
20642 5439 0.71475 114 249 0.69814 0.74196 6.28% 42.1 235s
20645 5441 0.71862 88 245 0.69814 0.74196 6.28% 42.1 241s
20647 5442 0.69967 56 245 0.69814 0.74196 6.28% 42.1 245s
20651 5445 0.70400 50 246 0.69814 0.74196 6.28% 42.1 251s
20654 5447 0.72581 44 245 0.69814 0.74196 6.28% 42.1 255s
20658 5450 0.71187 39 239 0.69814 0.74196 6.28% 42.0 260s
20663 5453 0.71506 104 244 0.69814 0.74196 6.28% 42.0 265s
20666 5455 0.71740 81 245 0.69814 0.74196 6.28% 42.0 270s
20669 5457 0.71130 117 243 0.69814 0.74196 6.28% 42.0 275s
20673 5460 0.72844 43 249 0.69814 0.74196 6.28% 42.0 281s
20676 5462 0.72874 42 248 0.69814 0.74196 6.28% 42.0 285s
20677 5465 0.74196 20 229 0.69814 0.74196 6.28% 42.6 291s
20679 5467 infeasible 21 0.69814 0.74196 6.28% 42.6 298s
20683 5469 0.73294 22 230 0.69814 0.74196 6.28% 42.7 303s
20691 5470 0.70386 23 217 0.69814 0.74196 6.28% 42.8 305s
20762 5483 0.71576 35 193 0.69814 0.74196 6.28% 43.1 311s
20939 5540 0.73136 39 196 0.69814 0.74196 6.28% 43.4 315s
21167 5592 cutoff 78 0.69814 0.74196 6.28% 44.0 320s
21425 5630 0.73297 30 225 0.69814 0.74196 6.28% 45.0 325s
21643 5680 0.72814 32 217 0.69814 0.74147 6.21% 45.9 330s
21969 5779 0.69911 38 192 0.69814 0.73988 5.98% 46.6 335s
22199 5814 0.71825 58 172 0.69814 0.73969 5.95% 47.8 341s
22389 5880 0.72934 50 188 0.69814 0.73957 5.93% 48.5 345s
22760 5959 0.73154 49 173 0.69814 0.73868 5.81% 50.0 351s
23069 6016 0.72334 33 239 0.69814 0.73831 5.75% 51.1 356s
23232 6037 cutoff 30 0.69814 0.73774 5.67% 51.7 360s
23523 6080 0.69819 65 154 0.69814 0.73713 5.58% 53.1 366s
23735 6100 0.71458 55 177 0.69814 0.73662 5.51% 54.0 371s
23926 6132 0.72630 47 183 0.69814 0.73629 5.46% 55.1 376s
24198 6202 0.71002 52 178 0.69814 0.73611 5.44% 56.0 382s
24441 6235 0.73541 37 201 0.69814 0.73553 5.36% 57.2 387s
24636 6275 0.71169 58 144 0.69814 0.73553 5.36% 57.9 390s
25038 6380 0.70962 37 182 0.69814 0.73484 5.26% 59.2 398s
25150 6357 0.72445 43 181 0.69814 0.73471 5.24% 59.7 401s
25352 6387 infeasible 37 0.69814 0.73449 5.21% 60.6 405s
25654 6440 cutoff 44 0.69814 0.73435 5.19% 61.9 412s
25837 6438 0.71791 38 183 0.69814 0.73417 5.16% 62.8 416s
26054 6483 infeasible 39 0.69814 0.73393 5.13% 63.6 421s
26219 6463 0.69832 58 177 0.69814 0.73370 5.09% 64.3 425s
26477 6523 0.71800 39 224 0.69814 0.73351 5.07% 65.2 430s
26971 6570 0.71725 41 192 0.69814 0.73336 5.04% 67.0 438s
27167 6594 0.72669 41 197 0.69814 0.73324 5.03% 67.5 443s
27421 6634 0.71022 39 210 0.69814 0.73324 5.03% 68.4 448s
27586 6654 0.70801 53 183 0.69814 0.73308 5.00% 69.1 453s
27863 6690 0.72475 37 211 0.69814 0.73286 4.97% 70.1 458s
28085 6716 0.70320 49 165 0.69814 0.73273 4.95% 70.7 464s
28326 6743 0.73225 41 209 0.69814 0.73252 4.92% 71.5 469s
28627 6770 0.69948 61 147 0.69814 0.73241 4.91% 72.4 475s
28912 6801 0.70717 38 211 0.69814 0.73220 4.88% 73.7 482s
29174 6826 0.71437 35 211 0.69814 0.73209 4.86% 74.7 488s
29472 6868 0.71935 43 181 0.69814 0.73195 4.84% 76.0 494s
29751 6853 0.72186 47 191 0.69814 0.73179 4.82% 76.8 502s
30045 6916 cutoff 59 0.69814 0.73165 4.80% 77.7 509s
30284 6967 0.71375 83 130 0.69814 0.73150 4.78% 78.5 516s
30694 6990 0.71936 46 190 0.69814 0.73140 4.76% 79.8 522s
31038 7036 0.70839 38 197 0.69814 0.73120 4.74% 80.7 530s
31423 7087 cutoff 43 0.69814 0.73110 4.72% 81.6 537s
31790 7110 cutoff 38 0.69814 0.73085 4.68% 82.9 544s
32149 7157 0.71923 53 209 0.69814 0.73067 4.66% 84.3 551s
32514 7224 0.70684 58 154 0.69814 0.73055 4.64% 84.9 558s
32980 7343 0.71517 53 162 0.69814 0.73043 4.62% 85.3 565s
33273 7386 cutoff 55 0.69814 0.73024 4.60% 86.1 573s
33673 7458 cutoff 49 0.69814 0.73009 4.58% 87.3 581s
33987 7486 cutoff 48 0.69814 0.72994 4.55% 88.7 588s
34272 7492 0.71986 55 163 0.69814 0.72978 4.53% 89.6 596s
34657 7547 0.70239 57 190 0.69814 0.72966 4.51% 90.7 600s
Cutting planes:
Gomory: 234
Cover: 9
Implied bound: 25
Projected implied bound: 55
Clique: 1
MIR: 157
StrongCG: 5
Flow cover: 615
Inf proof: 43
Zero half: 1
Explored 34846 nodes (3200414 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.698142 0.698142 0.698142
Time limit reached
Best objective 6.981419961195e-01, best bound 7.295546344057e-01, gap 4.4995%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfdjf6ycb.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpby0o4za0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.68551
Presolve removed 816 rows and 528 columns
Presolve time: 0.04s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 9.097879e-01, 1475 iterations, 0.06 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90979 0 107 0.68551 0.90979 32.7% - 0s
0 0 0.87650 0 128 0.68551 0.87650 27.9% - 0s
0 0 0.87632 0 128 0.68551 0.87632 27.8% - 0s
0 0 0.85991 0 128 0.68551 0.85991 25.4% - 0s
0 0 0.85985 0 125 0.68551 0.85985 25.4% - 0s
0 0 0.85756 0 139 0.68551 0.85756 25.1% - 0s
0 0 0.85745 0 141 0.68551 0.85745 25.1% - 0s
0 0 0.85645 0 142 0.68551 0.85645 24.9% - 0s
0 0 0.85620 0 144 0.68551 0.85620 24.9% - 0s
0 0 0.85620 0 131 0.68551 0.85620 24.9% - 0s
0 2 0.85620 0 130 0.68551 0.85620 24.9% - 0s
763 580 0.70041 41 151 0.68551 0.80178 17.0% 21.3 5s
1049 596 0.73042 42 122 0.68551 0.80178 17.0% 36.2 10s
1918 702 0.76176 30 140 0.68551 0.78815 15.0% 38.8 15s
2813 993 0.76306 26 159 0.68551 0.76813 12.1% 35.7 20s
3960 1443 cutoff 47 0.68551 0.75900 10.7% 35.5 25s
4971 1718 0.72317 36 138 0.68551 0.75351 9.92% 36.7 30s
5522 1859 0.72575 36 148 0.68551 0.75128 9.59% 37.4 35s
6595 2177 0.71724 41 143 0.68551 0.74691 8.96% 37.1 40s
7763 2382 0.68902 58 121 0.68551 0.74265 8.34% 38.3 45s
8730 2542 0.70100 58 131 0.68551 0.74128 8.14% 39.5 50s
9569 2744 cutoff 54 0.68551 0.73868 7.76% 39.6 55s
10918 3155 0.72234 53 132 0.68551 0.73581 7.34% 38.4 60s
12136 3494 0.70909 51 135 0.68551 0.73367 7.03% 37.9 65s
13080 3701 0.71711 46 129 0.68551 0.73203 6.79% 37.6 70s
14313 4063 0.71293 44 141 0.68551 0.73026 6.53% 37.6 75s
15502 4352 infeasible 63 0.68551 0.72869 6.30% 37.3 80s
16867 4805 cutoff 52 0.68551 0.72769 6.15% 36.7 85s
18098 5104 0.71701 48 153 0.68551 0.72642 5.97% 36.6 90s
19419 5442 cutoff 62 0.68551 0.72546 5.83% 36.4 95s
20868 5931 cutoff 63 0.68551 0.72468 5.71% 36.0 117s
21705 6201 0.71009 56 134 0.68551 0.72399 5.61% 36.0 120s
22913 6606 0.69675 48 131 0.68551 0.72339 5.53% 36.1 125s
24029 7018 0.68734 143 63 0.68551 0.72266 5.42% 36.1 130s
25238 7413 0.70307 124 74 0.68551 0.72204 5.33% 36.1 135s
26521 7889 cutoff 60 0.68551 0.72141 5.24% 36.0 140s
27538 8211 cutoff 44 0.68551 0.72105 5.19% 36.2 145s
28593 8539 0.70114 53 132 0.68551 0.72071 5.13% 36.4 150s
29690 8896 0.71902 70 138 0.68551 0.72023 5.07% 36.5 155s
30965 9395 cutoff 90 0.68551 0.71987 5.01% 36.5 160s
32197 9814 0.69930 71 130 0.68551 0.71959 4.97% 36.5 165s
32920 10021 cutoff 76 0.68551 0.71935 4.94% 36.6 170s
33624 10168 cutoff 64 0.68551 0.71920 4.91% 36.7 175s
34564 10339 0.71707 80 112 0.68551 0.71896 4.88% 37.0 180s
35529 10646 0.69869 71 115 0.68551 0.71875 4.85% 37.2 185s
36575 10894 cutoff 42 0.68551 0.71846 4.81% 37.4 190s
37796 11284 0.71825 72 132 0.68551 0.71825 4.78% 37.4 195s
38934 11565 0.70843 76 146 0.68551 0.71787 4.72% 37.6 200s
40338 12051 0.70349 53 160 0.68551 0.71757 4.68% 37.5 205s
41554 12372 0.69107 73 121 0.68551 0.71729 4.64% 37.6 211s
42897 12840 0.71232 42 155 0.68551 0.71702 4.60% 37.6 216s
44114 13119 0.69663 71 104 0.68551 0.71681 4.57% 37.6 221s
45537 13573 0.69803 55 148 0.68551 0.71649 4.52% 37.5 226s
46811 13925 0.70453 55 165 0.68551 0.71628 4.49% 37.5 231s
47967 14259 0.70471 66 141 0.68551 0.71612 4.46% 37.6 236s
49166 14624 0.69871 51 146 0.68551 0.71584 4.42% 37.6 241s
50046 14926 0.69311 44 178 0.68551 0.71570 4.40% 37.6 245s
51317 15279 cutoff 64 0.68551 0.71547 4.37% 37.6 250s
52557 15632 cutoff 59 0.68551 0.71534 4.35% 37.5 255s
53925 15987 cutoff 57 0.68551 0.71513 4.32% 37.5 260s
55306 16389 0.70219 80 143 0.68551 0.71494 4.29% 37.4 266s
56400 16705 0.69923 86 123 0.68551 0.71488 4.28% 37.5 271s
57514 17018 0.68581 110 85 0.68551 0.71460 4.24% 37.6 276s
58245 17162 0.69765 55 157 0.68551 0.71452 4.23% 37.6 280s
59307 17377 0.70926 45 142 0.68551 0.71434 4.21% 37.7 285s
60672 17781 0.70334 121 114 0.68551 0.71415 4.18% 37.7 291s
61788 18038 0.71230 62 150 0.68551 0.71399 4.16% 37.8 296s
62645 18280 0.71212 64 121 0.68551 0.71389 4.14% 37.8 300s
63915 18629 0.69524 85 117 0.68551 0.71379 4.13% 37.8 306s
65435 19106 0.70040 76 139 0.68551 0.71366 4.11% 37.7 312s
65838 19164 0.69549 55 152 0.68551 0.71362 4.10% 37.8 316s
66978 19436 cutoff 47 0.68551 0.71343 4.07% 37.8 321s
67827 19713 0.69054 152 48 0.68551 0.71335 4.06% 37.8 325s
68813 19900 0.69141 89 110 0.68551 0.71327 4.05% 37.9 331s
69818 20166 infeasible 57 0.68551 0.71317 4.03% 37.8 335s
71015 20421 0.71067 66 156 0.68551 0.71304 4.02% 37.9 341s
71944 20682 cutoff 118 0.68551 0.71297 4.01% 37.9 345s
73462 21129 0.69933 61 125 0.68551 0.71287 3.99% 37.8 351s
74934 21551 cutoff 53 0.68551 0.71271 3.97% 37.7 356s
75895 21801 0.68726 108 94 0.68551 0.71261 3.95% 37.6 360s
77303 22228 0.70081 57 155 0.68551 0.71249 3.94% 37.6 366s
78505 22517 0.68739 90 106 0.68551 0.71238 3.92% 37.7 371s
79681 22762 infeasible 92 0.68551 0.71226 3.90% 37.8 376s
80618 22914 0.69740 66 119 0.68551 0.71213 3.88% 37.7 380s
82310 23389 0.69333 94 103 0.68551 0.71201 3.87% 37.6 385s
83861 23834 cutoff 81 0.68551 0.71187 3.84% 37.5 391s
85243 24174 cutoff 84 0.68551 0.71174 3.83% 37.5 396s
86654 24486 0.68675 72 120 0.68551 0.71166 3.81% 37.4 401s
87511 24698 0.69554 86 101 0.68551 0.71159 3.80% 37.4 405s
88764 24976 0.68907 97 104 0.68551 0.71145 3.78% 37.4 410s
89934 25220 infeasible 52 0.68551 0.71137 3.77% 37.4 416s
90962 25492 cutoff 75 0.68551 0.71129 3.76% 37.4 420s
92351 25861 0.71052 72 131 0.68551 0.71122 3.75% 37.4 425s
H93123 26073 0.6855095 0.71116 3.74% 37.4 431s
93557 26123 0.69789 67 145 0.68551 0.71112 3.74% 37.4 435s
94789 26413 0.69558 59 131 0.68551 0.71103 3.72% 37.4 441s
95712 26664 0.69859 49 173 0.68551 0.71097 3.71% 37.4 445s
97017 27013 0.70214 61 139 0.68551 0.71086 3.70% 37.5 450s
98197 27429 cutoff 76 0.68551 0.71081 3.69% 37.4 455s
99246 27624 0.69704 99 94 0.68551 0.71074 3.68% 37.4 461s
100037 27786 cutoff 57 0.68551 0.71068 3.67% 37.4 465s
101226 27981 0.70362 55 175 0.68551 0.71057 3.66% 37.5 471s
102082 28195 0.69758 60 169 0.68551 0.71050 3.65% 37.5 475s
103548 28516 infeasible 114 0.68551 0.71043 3.63% 37.5 481s
104399 28661 cutoff 83 0.68551 0.71035 3.62% 37.5 485s
105578 28865 0.69238 95 116 0.68551 0.71026 3.61% 37.6 491s
106136 28933 0.68691 93 107 0.68551 0.71023 3.61% 37.7 495s
107441 29148 0.68986 63 137 0.68551 0.71015 3.60% 37.7 501s
108304 29276 0.69675 122 84 0.68551 0.71011 3.59% 37.8 505s
109681 29522 0.69024 116 84 0.68551 0.71001 3.57% 37.8 511s
110705 29782 0.70762 76 132 0.68551 0.70992 3.56% 37.8 515s
111992 29939 cutoff 76 0.68551 0.70984 3.55% 37.9 521s
112931 30109 0.70698 62 145 0.68551 0.70976 3.54% 37.9 525s
113772 30242 0.69020 86 116 0.68551 0.70971 3.53% 38.0 530s
115022 30440 0.69460 78 115 0.68551 0.70962 3.52% 38.1 536s
115871 30559 0.70862 67 143 0.68551 0.70953 3.50% 38.1 540s
116914 30773 0.69246 58 149 0.68551 0.70947 3.50% 38.1 545s
118430 31100 cutoff 97 0.68551 0.70939 3.48% 38.1 551s
119241 31219 cutoff 72 0.68551 0.70933 3.47% 38.2 556s
119930 31254 0.69615 55 162 0.68551 0.70927 3.47% 38.3 560s
121207 31436 0.70068 89 103 0.68551 0.70919 3.45% 38.5 566s
122016 31536 0.70179 77 138 0.68551 0.70911 3.44% 38.5 571s
122958 31664 0.69834 73 128 0.68551 0.70904 3.43% 38.6 576s
123905 31806 cutoff 110 0.68551 0.70901 3.43% 38.6 580s
124934 32003 0.70119 92 103 0.68551 0.70891 3.41% 38.6 585s
126036 32171 0.70463 92 102 0.68551 0.70885 3.41% 38.7 590s
127107 32261 0.69345 46 147 0.68551 0.70877 3.39% 38.8 596s
128026 32414 0.70740 58 134 0.68551 0.70870 3.38% 38.9 600s
Cutting planes:
Gomory: 157
Cover: 3
Implied bound: 64
Projected implied bound: 42
Clique: 1
MIR: 40
Flow cover: 182
Inf proof: 379
Explored 128344 nodes (4995932 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.68551 0.68551
Time limit reached
Best objective 6.855095244826e-01, best bound 7.086874713066e-01, gap 3.3811%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo6qthrdh.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqitli9o_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.676683
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 8.955152e-01, 1226 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89552 0 110 0.67668 0.89552 32.3% - 0s
0 0 0.87363 0 137 0.67668 0.87363 29.1% - 0s
0 0 0.87346 0 137 0.67668 0.87346 29.1% - 0s
0 0 0.85921 0 156 0.67668 0.85921 27.0% - 0s
0 0 0.85915 0 155 0.67668 0.85915 27.0% - 0s
0 0 0.85557 0 160 0.67668 0.85557 26.4% - 0s
0 0 0.85554 0 160 0.67668 0.85554 26.4% - 0s
0 0 0.85465 0 169 0.67668 0.85465 26.3% - 0s
0 0 0.85465 0 165 0.67668 0.85465 26.3% - 0s
0 0 0.85465 0 170 0.67668 0.85465 26.3% - 0s
0 0 0.85465 0 168 0.67668 0.85465 26.3% - 0s
0 0 0.85465 0 173 0.67668 0.85465 26.3% - 0s
0 0 0.85465 0 147 0.67668 0.85465 26.3% - 0s
0 2 0.85465 0 145 0.67668 0.85465 26.3% - 0s
763 588 0.79883 14 146 0.67668 0.79883 18.1% 24.5 6s
1098 594 0.77684 24 155 0.67668 0.79883 18.1% 37.7 10s
1689 691 0.72826 38 142 0.67668 0.76942 13.7% 40.1 15s
2801 989 0.74261 26 158 0.67668 0.76261 12.7% 38.8 20s
3859 1510 0.70836 38 151 0.67668 0.75889 12.1% 38.1 25s
4701 1779 0.74253 40 139 0.67668 0.75504 11.6% 40.0 30s
H 4864 1820 0.6766828 0.75446 11.5% 40.3 31s
5423 2046 0.73331 32 149 0.67668 0.75336 11.3% 40.3 35s
6374 2312 cutoff 52 0.67668 0.75057 10.9% 40.7 40s
7349 2542 0.73207 32 143 0.67668 0.74840 10.6% 41.3 45s
8102 2833 0.68730 47 127 0.67668 0.74713 10.4% 41.2 50s
8707 2928 0.68682 38 159 0.67668 0.74598 10.2% 41.5 55s
9768 3199 cutoff 43 0.67668 0.74432 10.0% 41.7 60s
10952 3476 0.73468 44 142 0.67668 0.74199 9.65% 41.8 66s
11731 3650 0.69197 69 132 0.67668 0.74078 9.47% 42.0 70s
12964 3897 cutoff 31 0.67668 0.73893 9.20% 42.0 75s
14035 4115 0.72207 45 136 0.67668 0.73664 8.86% 42.5 81s
14419 4189 cutoff 42 0.67668 0.73618 8.79% 42.6 86s
15264 4440 0.69516 35 159 0.67668 0.73520 8.65% 42.7 90s
16643 4836 cutoff 37 0.67668 0.73342 8.38% 42.4 96s
17390 5051 infeasible 34 0.67668 0.73260 8.26% 42.5 100s
18165 5267 0.69377 50 138 0.67668 0.73181 8.15% 42.7 106s
19020 5563 0.72398 46 152 0.67668 0.73073 7.99% 42.6 110s
20121 5766 0.70080 50 135 0.67668 0.72922 7.76% 43.0 116s
20997 5993 cutoff 51 0.67668 0.72829 7.63% 43.0 136s
21653 6152 0.69944 49 146 0.67668 0.72754 7.51% 43.3 140s
22447 6341 0.68396 60 120 0.67668 0.72651 7.36% 44.1 146s
23304 6522 0.68409 52 140 0.67668 0.72563 7.23% 44.9 151s
24038 6821 0.69357 36 148 0.67668 0.72504 7.15% 45.0 155s
24965 6968 0.69998 48 161 0.67668 0.72412 7.01% 45.7 161s
25599 7143 cutoff 44 0.67668 0.72365 6.94% 46.0 165s
26250 7296 0.71080 49 147 0.67668 0.72322 6.88% 46.2 170s
27208 7493 0.70286 50 154 0.67668 0.72237 6.75% 46.8 176s
27817 7642 cutoff 54 0.67668 0.72191 6.68% 47.1 180s
28446 7799 cutoff 58 0.67668 0.72156 6.63% 47.5 185s
29388 7999 0.70309 53 151 0.67668 0.72097 6.54% 48.1 191s
30010 8131 0.70919 45 184 0.67668 0.72063 6.49% 48.5 195s
30628 8303 cutoff 48 0.67668 0.72027 6.44% 48.8 200s
31359 8447 0.70551 67 122 0.67668 0.71991 6.39% 49.1 205s
32022 8576 cutoff 53 0.67668 0.71954 6.33% 49.5 210s
32666 8723 0.68822 46 161 0.67668 0.71923 6.29% 49.9 215s
33335 8850 0.68218 51 166 0.67668 0.71889 6.24% 50.2 220s
34027 8974 0.69873 47 145 0.67668 0.71863 6.20% 50.5 225s
34646 9102 0.69013 49 144 0.67668 0.71834 6.16% 51.0 230s
35352 9232 0.68880 56 157 0.67668 0.71789 6.09% 51.4 235s
35998 9315 cutoff 54 0.67668 0.71771 6.06% 51.9 240s
36716 9515 0.67908 63 131 0.67668 0.71736 6.01% 52.2 245s
37412 9664 cutoff 34 0.67668 0.71712 5.98% 52.5 251s
38204 9909 0.70198 48 152 0.67668 0.71691 5.94% 52.7 256s
38903 10041 cutoff 38 0.67668 0.71664 5.90% 53.0 261s
39679 10231 0.70896 54 153 0.67668 0.71633 5.86% 53.2 266s
40298 10341 infeasible 51 0.67668 0.71606 5.82% 53.6 271s
41144 10552 0.70321 50 163 0.67668 0.71580 5.78% 53.7 276s
41924 10716 0.68058 57 140 0.67668 0.71553 5.74% 53.8 282s
42010 10717 0.70266 50 150 0.67668 0.71547 5.73% 53.8 285s
42784 10896 cutoff 48 0.67668 0.71527 5.70% 54.1 290s
43566 11046 0.68783 55 148 0.67668 0.71500 5.66% 54.4 296s
44446 11247 0.69156 49 153 0.67668 0.71481 5.63% 54.5 302s
45184 11391 0.70171 69 140 0.67668 0.71463 5.61% 54.8 307s
45584 11495 0.69499 49 162 0.67668 0.71453 5.59% 54.9 310s
46305 11614 cutoff 55 0.67668 0.71425 5.55% 55.2 315s
47140 11728 0.70432 54 165 0.67668 0.71391 5.50% 55.4 321s
47963 11911 0.68870 46 156 0.67668 0.71366 5.46% 55.5 327s
48856 12154 0.70051 49 161 0.67668 0.71342 5.43% 55.6 332s
49660 12308 cutoff 64 0.67668 0.71319 5.39% 55.7 337s
50031 12387 0.71295 72 148 0.67668 0.71305 5.37% 55.9 340s
50791 12522 0.68855 61 131 0.67668 0.71282 5.34% 56.1 346s
51568 12692 infeasible 54 0.67668 0.71261 5.31% 56.2 352s
51966 12755 0.69149 35 159 0.67668 0.71253 5.30% 56.3 355s
52754 12888 cutoff 52 0.67668 0.71230 5.26% 56.5 361s
53121 12961 cutoff 47 0.67668 0.71224 5.25% 56.6 367s
53322 12972 cutoff 53 0.67668 0.71219 5.25% 56.7 370s
54128 13148 infeasible 49 0.67668 0.71201 5.22% 56.9 376s
54568 13263 0.69869 50 152 0.67668 0.71189 5.20% 56.9 380s
55223 13395 0.69804 63 150 0.67668 0.71178 5.19% 57.1 386s
56052 13526 0.70032 45 160 0.67668 0.71158 5.16% 57.2 392s
56497 13631 0.68948 42 169 0.67668 0.71149 5.14% 57.3 395s
57363 13787 0.68267 58 139 0.67668 0.71133 5.12% 57.4 401s
58108 13891 infeasible 55 0.67668 0.71110 5.09% 57.7 407s
58533 13960 cutoff 55 0.67668 0.71105 5.08% 57.7 410s
59431 14114 0.67950 54 155 0.67668 0.71087 5.05% 57.8 417s
60281 14264 0.69025 53 157 0.67668 0.71069 5.03% 57.9 422s
60716 14343 0.68918 47 166 0.67668 0.71060 5.01% 58.0 425s
61522 14475 cutoff 58 0.67668 0.71045 4.99% 58.1 431s
62302 14611 0.69212 58 144 0.67668 0.71025 4.96% 58.3 437s
62718 14673 0.69451 61 130 0.67668 0.71018 4.95% 58.3 440s
63590 14836 cutoff 56 0.67668 0.71001 4.93% 58.4 446s
64453 15001 cutoff 59 0.67668 0.70984 4.90% 58.5 452s
65219 15096 cutoff 54 0.67668 0.70964 4.87% 58.7 457s
65601 15148 cutoff 79 0.67668 0.70958 4.86% 58.8 460s
66390 15255 cutoff 64 0.67668 0.70939 4.83% 58.9 467s
66847 15372 cutoff 58 0.67668 0.70934 4.83% 59.0 470s
67348 15428 infeasible 52 0.67668 0.70918 4.80% 59.0 476s
67725 15476 cutoff 56 0.67668 0.70912 4.79% 59.1 480s
68578 15565 0.69816 65 161 0.67668 0.70895 4.77% 59.2 486s
69405 15694 0.68577 63 112 0.67668 0.70876 4.74% 59.3 492s
70242 15801 0.70805 56 158 0.67668 0.70858 4.71% 59.5 497s
70685 15868 cutoff 56 0.67668 0.70851 4.70% 59.5 500s
71505 15990 0.69372 56 129 0.67668 0.70835 4.68% 59.6 506s
72363 16128 cutoff 54 0.67668 0.70818 4.65% 59.7 512s
72791 16184 0.70442 47 146 0.67668 0.70811 4.64% 59.8 516s
73632 16261 0.67736 58 115 0.67668 0.70799 4.63% 60.0 522s
74067 16316 0.70353 53 170 0.67668 0.70790 4.61% 60.0 525s
74911 16419 cutoff 71 0.67668 0.70777 4.59% 60.1 532s
75394 16523 0.69604 56 142 0.67668 0.70767 4.58% 60.1 535s
76261 16595 cutoff 93 0.67668 0.70752 4.56% 60.3 541s
76700 16642 cutoff 72 0.67668 0.70746 4.55% 60.3 545s
77590 16739 cutoff 49 0.67668 0.70730 4.52% 60.4 551s
77900 16801 0.68711 34 163 0.67668 0.70723 4.51% 60.5 555s
78504 16848 0.68305 62 132 0.67668 0.70714 4.50% 60.6 561s
79382 16979 0.68501 62 157 0.67668 0.70701 4.48% 60.7 567s
79769 17007 0.68608 60 130 0.67668 0.70693 4.47% 60.8 570s
80678 17111 infeasible 49 0.67668 0.70682 4.45% 60.9 577s
81141 17173 cutoff 68 0.67668 0.70676 4.44% 61.0 580s
81964 17262 0.69918 56 151 0.67668 0.70669 4.43% 61.1 587s
82460 17356 0.69163 44 170 0.67668 0.70659 4.42% 61.1 590s
83430 17551 0.68367 52 163 0.67668 0.70642 4.40% 61.1 597s
83865 17615 0.69859 35 205 0.67668 0.70636 4.39% 61.1 600s
Cutting planes:
Gomory: 171
Cover: 3
Implied bound: 60
Projected implied bound: 43
Clique: 1
MIR: 48
Flow cover: 185
Inf proof: 275
Explored 84339 nodes (5154361 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.676683 0.676683
Time limit reached
Best objective 6.766828285695e-01, best bound 7.062992666266e-01, gap 4.3767%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp28_fggn0.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk06yi2ip.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.665333
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.793820e-01, 1253 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87938 0 107 0.66533 0.87938 32.2% - 0s
0 0 0.85736 0 134 0.66533 0.85736 28.9% - 0s
0 0 0.85720 0 134 0.66533 0.85720 28.8% - 0s
0 0 0.84338 0 143 0.66533 0.84338 26.8% - 0s
0 0 0.84332 0 140 0.66533 0.84332 26.8% - 0s
0 0 0.84026 0 153 0.66533 0.84026 26.3% - 0s
0 0 0.84015 0 153 0.66533 0.84015 26.3% - 0s
0 0 0.83915 0 152 0.66533 0.83915 26.1% - 0s
0 0 0.83900 0 158 0.66533 0.83900 26.1% - 0s
0 0 0.83890 0 159 0.66533 0.83890 26.1% - 0s
0 0 0.83890 0 159 0.66533 0.83890 26.1% - 0s
0 0 0.83872 0 139 0.66533 0.83872 26.1% - 0s
0 2 0.83872 0 138 0.66533 0.83872 26.1% - 0s
741 543 0.71502 52 148 0.66533 0.78041 17.3% 16.0 5s
961 594 0.73739 24 149 0.66533 0.78041 17.3% 35.2 10s
1680 660 0.75340 28 146 0.66533 0.76417 14.9% 40.5 15s
H 2058 732 0.6653430 0.76121 14.4% 39.2 18s
2395 840 0.69524 36 135 0.66534 0.75867 14.0% 38.5 20s
3407 1259 0.71052 37 134 0.66534 0.75123 12.9% 40.2 25s
4430 1622 cutoff 37 0.66534 0.74377 11.8% 39.7 30s
5555 2076 0.69905 51 124 0.66534 0.73959 11.2% 38.7 35s
6585 2630 0.69727 49 131 0.66534 0.73783 10.9% 37.0 40s
H 7748 2982 0.6653430 0.73426 10.4% 37.1 44s
7859 3011 cutoff 43 0.66534 0.73377 10.3% 37.3 46s
8701 3246 0.72456 42 136 0.66534 0.73186 10.0% 37.6 50s
9261 3429 0.70758 40 136 0.66534 0.73054 9.80% 38.1 55s
10147 3666 0.70697 45 135 0.66534 0.72866 9.52% 38.7 60s
11357 4050 0.66750 43 150 0.66534 0.72675 9.23% 38.9 65s
12573 4405 0.66871 35 140 0.66534 0.72495 8.96% 39.4 71s
13689 4750 0.67830 45 149 0.66534 0.72333 8.72% 39.7 76s
14533 5033 cutoff 39 0.66534 0.72239 8.57% 39.6 80s
15772 5383 cutoff 48 0.66534 0.72079 8.33% 39.6 85s
17017 5722 0.67823 42 142 0.66534 0.71947 8.13% 39.3 91s
18236 6002 0.70370 43 126 0.66534 0.71825 7.95% 39.4 96s
19165 6272 0.67908 53 128 0.66534 0.71741 7.83% 39.1 100s
20454 6603 0.66815 44 120 0.66534 0.71606 7.62% 39.1 105s
20850 6691 0.70334 40 139 0.66534 0.71560 7.55% 39.2 126s
20860 6698 0.69417 40 246 0.66534 0.71560 7.55% 39.2 130s
20863 6700 0.67096 167 231 0.66534 0.71560 7.55% 39.2 136s
20868 6703 0.71395 52 248 0.66534 0.71560 7.55% 39.2 140s
20872 6706 0.68309 51 264 0.66534 0.71560 7.55% 39.2 145s
20875 6708 0.69614 38 271 0.66534 0.71560 7.55% 39.1 150s
20879 6710 0.68254 34 285 0.66534 0.71560 7.55% 39.1 156s
20883 6713 0.69705 41 285 0.66534 0.71560 7.55% 39.1 161s
20886 6715 0.67790 56 287 0.66534 0.71560 7.55% 39.1 165s
20890 6718 0.67353 46 282 0.66534 0.71560 7.55% 39.1 170s
20893 6720 0.70005 87 289 0.66534 0.71560 7.55% 39.1 175s
20897 6722 0.70206 40 288 0.66534 0.71560 7.55% 39.1 181s
20900 6724 0.68336 49 296 0.66534 0.71560 7.55% 39.1 185s
20903 6726 0.67684 51 288 0.66534 0.71560 7.55% 39.1 190s
20905 6728 0.70461 41 302 0.66534 0.71560 7.55% 39.1 195s
20909 6730 0.67040 41 281 0.66534 0.71560 7.55% 39.1 201s
20912 6732 0.68585 35 297 0.66534 0.71560 7.55% 39.1 205s
20917 6736 0.69038 40 290 0.66534 0.71560 7.55% 39.1 210s
20920 6738 0.70987 41 283 0.66534 0.71560 7.55% 39.1 215s
20923 6740 0.68466 39 277 0.66534 0.71560 7.55% 39.1 220s
20926 6742 0.69508 51 283 0.66534 0.71560 7.55% 39.1 226s
20930 6744 0.68295 45 293 0.66534 0.71560 7.55% 39.0 231s
20934 6747 0.70140 38 302 0.66534 0.71560 7.55% 39.0 236s
20938 6750 0.66759 198 308 0.66534 0.71560 7.55% 39.0 241s
20941 6752 0.68664 35 305 0.66534 0.71560 7.55% 39.0 245s
20946 6755 0.67551 56 306 0.66534 0.71560 7.55% 39.0 251s
20950 6758 0.70334 40 308 0.66534 0.71560 7.55% 39.0 256s
20954 6760 0.70592 44 298 0.66534 0.71560 7.55% 39.0 261s
20958 6763 0.67426 56 293 0.66534 0.71560 7.55% 39.0 266s
20960 6764 0.69417 40 293 0.66534 0.71560 7.55% 39.0 271s
20962 6766 0.69787 44 293 0.66534 0.71560 7.55% 39.0 276s
20966 6768 0.69045 54 301 0.66534 0.71560 7.55% 39.0 282s
20969 6770 0.68981 46 302 0.66534 0.71560 7.55% 39.0 285s
20973 6773 0.68265 48 312 0.66534 0.71560 7.55% 39.0 290s
20977 6776 0.69432 29 299 0.66534 0.71560 7.55% 39.0 295s
20981 6778 0.68020 81 297 0.66534 0.71560 7.55% 39.0 300s
20985 6781 0.69740 37 293 0.66534 0.71560 7.55% 38.9 305s
20990 6784 0.67353 46 302 0.66534 0.71560 7.55% 38.9 311s
20993 6786 0.70005 87 308 0.66534 0.71560 7.55% 38.9 315s
20998 6790 0.68110 44 302 0.66534 0.71560 7.55% 38.9 322s
21000 6791 0.68336 49 302 0.66534 0.71560 7.55% 38.9 325s
21001 6795 0.71560 30 293 0.66534 0.71560 7.55% 41.0 334s
21003 6795 0.71560 31 264 0.66534 0.71560 7.55% 41.0 343s
21007 6794 infeasible 32 0.66534 0.71560 7.55% 41.1 353s
21015 6792 0.71560 34 296 0.66534 0.71560 7.55% 41.4 355s
21028 6795 infeasible 38 0.66534 0.71560 7.55% 41.5 361s
21070 6799 0.69384 41 244 0.66534 0.71560 7.55% 42.2 365s
21157 6813 0.71560 41 259 0.66534 0.71560 7.55% 43.0 370s
21205 6816 cutoff 53 0.66534 0.71560 7.55% 43.4 375s
21314 6828 0.71560 38 283 0.66534 0.71560 7.55% 44.5 380s
21424 6836 0.71560 36 301 0.66534 0.71560 7.55% 45.4 385s
21553 6840 0.71560 39 278 0.66534 0.71560 7.55% 46.7 390s
21713 6837 0.68031 45 263 0.66534 0.71560 7.55% 48.0 396s
21774 6851 cutoff 42 0.66534 0.71560 7.55% 48.7 401s
21812 6846 cutoff 41 0.66534 0.71560 7.55% 49.3 405s
21985 6864 cutoff 44 0.66534 0.71560 7.55% 50.5 411s
22187 6852 0.66974 56 200 0.66534 0.71560 7.55% 51.7 416s
22333 6879 cutoff 47 0.66534 0.71560 7.55% 52.6 420s
22457 6906 cutoff 46 0.66534 0.71560 7.55% 53.2 425s
22601 6906 0.67259 46 224 0.66534 0.71560 7.55% 54.5 431s
22755 6914 0.69938 49 226 0.66534 0.71560 7.55% 55.6 436s
22874 6921 0.68125 47 211 0.66534 0.71560 7.55% 56.3 440s
23061 6920 infeasible 49 0.66534 0.71560 7.55% 57.7 445s
23267 6926 0.67800 48 244 0.66534 0.71560 7.55% 59.1 452s
23375 6936 infeasible 51 0.66534 0.71560 7.55% 59.7 455s
23504 6966 0.71202 44 255 0.66534 0.71560 7.55% 60.4 460s
23721 6997 0.68974 58 208 0.66534 0.71560 7.55% 61.2 468s
23867 6992 0.68173 65 217 0.66534 0.71560 7.55% 61.9 472s
24037 7012 0.68794 47 249 0.66534 0.71560 7.55% 62.7 476s
24178 7022 0.70856 49 242 0.66534 0.71560 7.55% 63.5 480s
24283 7034 cutoff 46 0.66534 0.71560 7.55% 64.1 485s
24660 7102 0.68646 52 196 0.66534 0.71560 7.55% 65.4 493s
24902 7176 0.70114 53 213 0.66534 0.71560 7.55% 66.1 498s
25080 7171 0.69814 53 227 0.66534 0.71557 7.55% 66.9 502s
25292 7204 cutoff 48 0.66534 0.71476 7.43% 67.7 508s
25483 7204 0.71079 50 214 0.66534 0.71430 7.36% 68.7 514s
25746 7236 0.70262 46 254 0.66534 0.71419 7.34% 69.5 520s
26031 7304 0.67900 64 187 0.66534 0.71400 7.31% 70.3 535s
26196 7312 0.67388 47 238 0.66534 0.71353 7.24% 70.9 541s
26442 7336 cutoff 70 0.66534 0.71334 7.21% 71.9 547s
26706 7332 0.71094 53 231 0.66534 0.71320 7.19% 72.7 553s
26937 7374 0.68924 45 241 0.66534 0.71291 7.15% 73.3 559s
27205 7383 0.67079 51 217 0.66534 0.71254 7.09% 74.3 566s
27500 7380 0.67755 67 198 0.66534 0.71213 7.03% 75.4 572s
27801 7413 0.69689 48 229 0.66534 0.71178 6.98% 76.5 579s
28083 7388 0.66684 59 184 0.66534 0.71145 6.93% 77.7 586s
28473 7443 0.66856 57 186 0.66534 0.71096 6.86% 78.7 595s
28891 7478 0.68242 53 211 0.66534 0.71078 6.83% 79.7 600s
Cutting planes:
Gomory: 213
Cover: 9
Implied bound: 25
Projected implied bound: 40
Clique: 5
MIR: 201
StrongCG: 1
Flow cover: 744
Inf proof: 65
Zero half: 3
Explored 29132 nodes (2336765 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.665343 0.665343 0.665333
Time limit reached
Best objective 6.653429930968e-01, best bound 7.107789176831e-01, gap 6.8289%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps7a13w6j.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcienh3nh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.660636
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.699606e-01, 1252 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86996 0 109 0.66064 0.86996 31.7% - 0s
0 0 0.84883 0 134 0.66064 0.84883 28.5% - 0s
0 0 0.84867 0 134 0.66064 0.84867 28.5% - 0s
0 0 0.83952 0 148 0.66064 0.83952 27.1% - 0s
0 0 0.83940 0 142 0.66064 0.83940 27.1% - 0s
0 0 0.83556 0 151 0.66064 0.83556 26.5% - 0s
0 0 0.83554 0 152 0.66064 0.83554 26.5% - 0s
0 0 0.83454 0 157 0.66064 0.83454 26.3% - 0s
0 0 0.83449 0 158 0.66064 0.83449 26.3% - 0s
0 0 0.83449 0 157 0.66064 0.83449 26.3% - 0s
0 0 0.83449 0 157 0.66064 0.83449 26.3% - 0s
0 0 0.83449 0 159 0.66064 0.83449 26.3% - 0s
0 0 0.83449 0 143 0.66064 0.83449 26.3% - 0s
0 2 0.83449 0 142 0.66064 0.83449 26.3% - 0s
745 515 0.73639 46 164 0.66064 0.77407 17.2% 22.7 5s
897 526 0.75843 26 160 0.66064 0.77407 17.2% 38.1 10s
1427 680 0.71457 26 160 0.66064 0.77407 17.2% 39.3 15s
2504 999 0.72644 27 158 0.66064 0.76042 15.1% 38.8 20s
3144 1364 0.74056 28 146 0.66064 0.75473 14.2% 39.0 25s
3994 1650 0.69755 24 152 0.66064 0.74734 13.1% 41.9 30s
4906 1956 0.72918 25 167 0.66064 0.74295 12.5% 43.5 35s
5639 2120 0.70848 24 172 0.66064 0.73972 12.0% 45.8 40s
6600 2334 0.67380 109 119 0.66064 0.73661 11.5% 46.9 46s
7117 2479 cutoff 38 0.66064 0.73489 11.2% 47.3 50s
7759 2636 0.68215 36 155 0.66064 0.73301 11.0% 48.0 55s
8914 2848 cutoff 34 0.66064 0.73054 10.6% 48.8 61s
9665 3031 0.70179 32 160 0.66064 0.72887 10.3% 48.6 65s
10715 3295 cutoff 38 0.66064 0.72637 9.95% 48.6 71s
11565 3455 0.68649 37 160 0.66064 0.72426 9.63% 48.6 75s
12785 3682 0.70822 38 144 0.66064 0.72132 9.19% 48.7 81s
13772 3901 cutoff 52 0.66064 0.71937 8.89% 48.5 86s
14744 4097 cutoff 84 0.66064 0.71790 8.67% 48.2 90s
16111 4461 0.69384 31 161 0.66064 0.71649 8.45% 47.7 96s
16815 4605 0.69369 41 147 0.66064 0.71488 8.21% 47.9 100s
18086 4895 0.68416 48 135 0.66064 0.71305 7.93% 47.8 106s
19074 5232 cutoff 35 0.66064 0.71225 7.81% 47.2 110s
20307 5663 0.67478 34 146 0.66064 0.71106 7.63% 46.8 116s
20756 5725 0.69030 42 145 0.66064 0.71074 7.58% 46.6 135s
21896 6006 0.69372 43 142 0.66064 0.70992 7.46% 46.6 140s
23056 6368 cutoff 36 0.66064 0.70904 7.33% 46.7 146s
24359 6801 0.67328 68 137 0.66064 0.70833 7.22% 46.7 151s
25181 7043 0.66444 52 126 0.66064 0.70778 7.14% 46.8 155s
26111 7232 0.68154 45 145 0.66064 0.70691 7.00% 47.3 161s
26926 7462 0.68038 49 151 0.66064 0.70641 6.93% 47.2 165s
28023 7806 0.67637 38 153 0.66064 0.70580 6.84% 47.3 171s
28677 7965 0.67513 33 177 0.66064 0.70528 6.76% 47.5 175s
29729 8258 cutoff 42 0.66064 0.70459 6.65% 47.7 181s
30061 8339 0.70078 50 150 0.66064 0.70435 6.62% 47.8 185s
31277 8719 cutoff 36 0.66064 0.70373 6.52% 47.8 191s
31934 8879 0.67097 28 175 0.66064 0.70335 6.47% 48.0 195s
33018 9197 0.66671 34 190 0.66064 0.70266 6.36% 48.2 201s
33810 9440 0.68844 46 147 0.66064 0.70244 6.33% 48.2 205s
34910 9713 0.66982 44 156 0.66064 0.70200 6.26% 48.4 211s
35664 9903 cutoff 40 0.66064 0.70169 6.21% 48.5 215s
36378 10069 0.66542 46 144 0.66064 0.70135 6.16% 48.6 220s
37433 10327 0.68745 39 143 0.66064 0.70088 6.09% 48.9 226s
38151 10511 0.67411 46 180 0.66064 0.70059 6.05% 48.9 230s
39087 10809 0.67138 39 177 0.66064 0.70030 6.00% 48.9 235s
40147 11045 infeasible 59 0.66064 0.69988 5.94% 49.1 241s
40849 11188 0.66812 58 145 0.66064 0.69966 5.91% 49.2 246s
41549 11365 0.66469 55 143 0.66064 0.69945 5.88% 49.3 250s
42312 11541 cutoff 48 0.66064 0.69918 5.83% 49.3 255s
43592 11898 0.68297 39 168 0.66064 0.69888 5.79% 49.4 262s
43946 11958 0.66126 75 122 0.66064 0.69865 5.75% 49.5 268s
44319 12015 0.66980 35 169 0.66064 0.69856 5.74% 49.5 270s
45042 12130 0.67405 44 164 0.66064 0.69833 5.71% 49.7 275s
45996 12443 0.66712 53 136 0.66064 0.69810 5.67% 49.6 280s
46826 12610 0.68500 61 164 0.66064 0.69788 5.64% 49.6 285s
47997 12859 infeasible 49 0.66064 0.69753 5.58% 49.7 292s
48764 13047 0.66992 71 137 0.66064 0.69732 5.55% 49.7 296s
49538 13221 infeasible 73 0.66064 0.69719 5.53% 49.8 301s
50461 13510 cutoff 62 0.66064 0.69701 5.51% 49.7 306s
51264 13699 0.67004 46 145 0.66064 0.69680 5.47% 49.7 311s
52321 14079 cutoff 40 0.66064 0.69666 5.45% 49.6 316s
53318 14349 0.67406 53 157 0.66064 0.69635 5.41% 49.4 321s
54104 14590 0.66285 40 194 0.66064 0.69618 5.38% 49.4 326s
55006 14813 0.67483 66 134 0.66064 0.69606 5.36% 49.4 330s
55874 15062 0.67964 32 195 0.66064 0.69587 5.33% 49.4 335s
56763 15277 cutoff 46 0.66064 0.69573 5.31% 49.4 340s
57792 15427 0.68192 64 133 0.66064 0.69543 5.27% 49.6 346s
58328 15546 0.68673 65 151 0.66064 0.69534 5.25% 49.6 351s
59146 15752 0.66575 46 152 0.66064 0.69517 5.23% 49.6 356s
59925 15896 0.69149 39 157 0.66064 0.69497 5.20% 49.6 361s
60858 16177 infeasible 49 0.66064 0.69474 5.16% 49.5 366s
61785 16450 0.67646 56 136 0.66064 0.69462 5.14% 49.4 371s
62749 16694 cutoff 44 0.66064 0.69444 5.12% 49.4 375s
63488 16825 0.67970 59 140 0.66064 0.69430 5.10% 49.4 380s
64537 17117 cutoff 70 0.66064 0.69410 5.07% 49.4 385s
65313 17259 0.66711 84 102 0.66064 0.69390 5.04% 49.4 390s
66839 17678 0.67338 43 174 0.66064 0.69367 5.00% 49.2 397s
67542 17799 0.67183 63 119 0.66064 0.69359 4.99% 49.3 401s
68396 18006 cutoff 67 0.66064 0.69343 4.96% 49.4 406s
69288 18240 0.68767 62 144 0.66064 0.69331 4.95% 49.3 411s
70167 18472 0.67856 54 145 0.66064 0.69317 4.92% 49.3 416s
70706 18652 0.69114 67 115 0.66064 0.69308 4.91% 49.3 420s
71618 18911 0.67467 52 137 0.66064 0.69299 4.90% 49.2 427s
72725 19317 0.69004 43 159 0.66064 0.69289 4.88% 49.2 431s
73850 19697 0.68437 51 147 0.66064 0.69270 4.85% 49.0 436s
74671 19872 0.69059 60 150 0.66064 0.69258 4.84% 49.0 440s
75729 20242 0.68107 55 151 0.66064 0.69242 4.81% 48.9 445s
77223 20715 0.68080 40 177 0.66064 0.69224 4.78% 48.7 451s
77919 20834 cutoff 55 0.66064 0.69217 4.77% 48.8 455s
79168 21150 cutoff 47 0.66064 0.69206 4.76% 48.8 461s
79901 21291 0.69061 49 159 0.66064 0.69186 4.73% 48.8 465s
80806 21543 0.67222 67 139 0.66064 0.69170 4.70% 48.7 470s
82036 21865 cutoff 68 0.66064 0.69154 4.68% 48.7 476s
82988 22137 0.66898 32 191 0.66064 0.69141 4.66% 48.6 481s
83965 22496 cutoff 75 0.66064 0.69134 4.65% 48.5 485s
85709 23063 0.68474 65 114 0.66064 0.69121 4.63% 48.3 491s
86419 23191 infeasible 45 0.66064 0.69112 4.61% 48.3 496s
87274 23444 0.66951 69 127 0.66064 0.69102 4.60% 48.2 500s
88789 23946 cutoff 65 0.66064 0.69086 4.57% 48.1 506s
89480 24110 0.68092 63 140 0.66064 0.69079 4.57% 48.1 510s
90423 24354 0.66439 31 206 0.66064 0.69067 4.55% 48.1 515s
91925 24847 0.68539 63 137 0.66064 0.69052 4.52% 47.9 521s
92686 25084 0.67603 50 167 0.66064 0.69043 4.51% 47.9 525s
93862 25449 0.66441 154 59 0.66064 0.69028 4.49% 47.9 533s
93939 25443 infeasible 69 0.66064 0.69028 4.49% 47.9 535s
94905 25630 0.66732 68 137 0.66064 0.69014 4.47% 48.0 541s
95818 25875 cutoff 63 0.66064 0.69001 4.45% 47.9 546s
96775 26179 0.66765 42 193 0.66064 0.68992 4.43% 47.9 551s
97609 26372 0.68580 70 138 0.66064 0.68983 4.42% 47.8 555s
98464 26640 0.68205 55 140 0.66064 0.68974 4.41% 47.8 560s
99700 26908 0.67371 52 150 0.66064 0.68962 4.39% 47.8 566s
100440 27089 0.66691 33 185 0.66064 0.68953 4.37% 47.8 571s
101456 27387 0.68477 67 131 0.66064 0.68944 4.36% 47.8 576s
102381 27684 0.67143 72 133 0.66064 0.68933 4.34% 47.7 580s
103585 27985 0.66579 70 137 0.66064 0.68921 4.33% 47.7 587s
104354 28188 0.67816 69 131 0.66064 0.68914 4.31% 47.8 591s
105150 28369 0.68290 75 114 0.66064 0.68907 4.30% 47.7 596s
106033 28616 0.68222 45 168 0.66064 0.68899 4.29% 47.7 600s
Cutting planes:
Gomory: 169
Cover: 3
Implied bound: 56
Projected implied bound: 45
Clique: 1
MIR: 53
Flow cover: 198
Inf proof: 350
Explored 106369 nodes (5081535 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.660636
Time limit reached
Best objective 6.606357925443e-01, best bound 6.889652361110e-01, gap 4.2882%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq6a1nfi0.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpip1xco0y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.655828
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 8.621888e-01, 1277 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86219 0 110 0.65583 0.86219 31.5% - 0s
0 0 0.84130 0 129 0.65583 0.84130 28.3% - 0s
0 0 0.84114 0 129 0.65583 0.84114 28.3% - 0s
0 0 0.82798 0 135 0.65583 0.82798 26.2% - 0s
0 0 0.82798 0 135 0.65583 0.82798 26.2% - 0s
0 0 0.82516 0 145 0.65583 0.82516 25.8% - 0s
0 0 0.82491 0 147 0.65583 0.82491 25.8% - 0s
0 0 0.82440 0 157 0.65583 0.82440 25.7% - 0s
0 0 0.82440 0 157 0.65583 0.82440 25.7% - 0s
0 0 0.82430 0 159 0.65583 0.82430 25.7% - 0s
0 0 0.82430 0 160 0.65583 0.82430 25.7% - 0s
0 0 0.82423 0 157 0.65583 0.82423 25.7% - 0s
0 0 0.82423 0 137 0.65583 0.82423 25.7% - 0s
0 2 0.82423 0 136 0.65583 0.82423 25.7% - 0s
739 550 0.70634 70 165 0.65583 0.77196 17.7% 21.9 5s
1013 616 infeasible 23 0.65583 0.77196 17.7% 36.5 10s
H 1317 722 0.6558283 0.77196 17.7% 33.5 11s
2144 1020 cutoff 58 0.65583 0.76249 16.3% 31.0 16s
2924 1460 0.66615 60 142 0.65583 0.75273 14.8% 31.6 20s
3434 1698 0.69005 30 184 0.65583 0.74920 14.2% 33.7 25s
4422 2137 0.67645 32 139 0.65583 0.74492 13.6% 35.2 30s
5159 2413 0.69357 25 149 0.65583 0.74176 13.1% 37.1 35s
6088 2780 0.67354 32 147 0.65583 0.73969 12.8% 38.0 40s
6565 2992 0.69052 38 154 0.65583 0.73873 12.6% 38.7 45s
7332 3258 0.67661 51 131 0.65583 0.73714 12.4% 40.1 50s
8235 3564 0.69044 30 154 0.65583 0.73543 12.1% 41.3 56s
9032 3814 0.67397 30 163 0.65583 0.73321 11.8% 42.2 61s
9348 3868 0.67251 39 155 0.65583 0.73250 11.7% 42.9 65s
10178 4011 0.66151 30 147 0.65583 0.73050 11.4% 44.2 70s
10793 4134 cutoff 37 0.65583 0.72935 11.2% 45.3 75s
11887 4434 0.65925 31 159 0.65583 0.72724 10.9% 46.0 81s
12536 4522 0.67689 30 156 0.65583 0.72575 10.7% 46.8 85s
13093 4547 0.70924 28 159 0.65583 0.72437 10.5% 47.7 90s
13815 4626 0.68438 30 149 0.65583 0.72312 10.3% 48.2 95s
14229 4670 infeasible 43 0.65583 0.72156 10.0% 48.6 101s
15010 4896 0.65795 72 125 0.65583 0.71968 9.74% 48.7 105s
15705 5031 0.65959 50 135 0.65583 0.71813 9.50% 48.7 110s
16490 5265 cutoff 27 0.65583 0.71628 9.22% 48.6 115s
17234 5470 cutoff 39 0.65583 0.71536 9.08% 48.7 120s
17998 5690 cutoff 48 0.65583 0.71407 8.88% 48.7 125s
19021 5912 0.67731 90 119 0.65583 0.71261 8.66% 49.0 131s
19842 6184 0.69483 44 159 0.65583 0.71177 8.53% 48.8 136s
20634 6371 0.68121 52 165 0.65583 0.71073 8.37% 48.8 141s
21335 6672 0.70144 27 137 0.65583 0.71051 8.34% 48.4 164s
21337 6673 0.66248 40 108 0.65583 0.71051 8.34% 48.4 165s
21348 6681 0.65916 93 228 0.65583 0.71051 8.34% 48.4 171s
21350 6682 0.67612 47 214 0.65583 0.71051 8.34% 48.4 175s
21354 6685 0.68903 44 240 0.65583 0.71051 8.34% 48.3 181s
21356 6686 0.70559 70 228 0.65583 0.71051 8.34% 48.3 185s
21360 6689 0.66725 54 236 0.65583 0.71051 8.34% 48.3 191s
21362 6690 0.69226 62 240 0.65583 0.71051 8.34% 48.3 195s
21365 6692 0.66124 42 255 0.65583 0.71051 8.34% 48.3 200s
21369 6695 0.70845 27 257 0.65583 0.71051 8.34% 48.3 205s
21372 6697 0.67242 51 260 0.65583 0.71051 8.34% 48.3 210s
21375 6699 0.67684 33 273 0.65583 0.71051 8.34% 48.3 215s
21378 6701 0.68637 45 265 0.65583 0.71051 8.34% 48.3 220s
21382 6703 0.68450 41 285 0.65583 0.71051 8.34% 48.3 225s
21385 6705 0.66150 41 289 0.65583 0.71051 8.34% 48.3 230s
21388 6707 0.68629 42 292 0.65583 0.71051 8.34% 48.3 235s
21391 6709 0.69039 55 285 0.65583 0.71051 8.34% 48.3 240s
21394 6711 0.65937 233 261 0.65583 0.71051 8.34% 48.3 245s
21397 6713 0.66347 51 254 0.65583 0.71051 8.34% 48.2 250s
21400 6715 0.70439 27 264 0.65583 0.71051 8.34% 48.2 255s
21402 6717 0.67900 42 262 0.65583 0.71051 8.34% 48.2 260s
21404 6718 0.67828 50 284 0.65583 0.71051 8.34% 48.2 265s
21407 6720 0.70564 36 267 0.65583 0.71051 8.34% 48.2 271s
21409 6721 0.68237 35 251 0.65583 0.71051 8.34% 48.2 276s
21413 6724 0.67409 35 267 0.65583 0.71051 8.34% 48.2 281s
21415 6725 0.67844 34 263 0.65583 0.71051 8.34% 48.2 285s
21418 6727 0.69094 49 276 0.65583 0.71051 8.34% 48.2 290s
21421 6729 0.70208 42 255 0.65583 0.71051 8.34% 48.2 296s
21423 6731 0.66629 94 246 0.65583 0.71051 8.34% 48.2 300s
21426 6733 0.68988 38 253 0.65583 0.71051 8.34% 48.2 305s
21428 6734 0.68235 58 246 0.65583 0.71051 8.34% 48.2 310s
21431 6736 0.67789 42 253 0.65583 0.71051 8.34% 48.2 317s
21433 6737 0.67548 66 261 0.65583 0.71051 8.34% 48.2 321s
21435 6739 0.70144 27 250 0.65583 0.71051 8.34% 48.2 325s
21439 6741 0.66245 51 251 0.65583 0.71051 8.34% 48.2 331s
21441 6743 0.67320 35 253 0.65583 0.71051 8.34% 48.2 335s
21445 6745 0.68310 86 263 0.65583 0.71051 8.34% 48.1 343s
21447 6747 0.69772 42 261 0.65583 0.71051 8.34% 48.1 348s
21449 6748 0.68528 34 259 0.65583 0.71051 8.34% 48.1 352s
21451 6749 0.67383 44 256 0.65583 0.71051 8.34% 48.1 356s
21453 6751 0.67196 34 255 0.65583 0.71051 8.34% 48.1 361s
21455 6752 0.69713 48 255 0.65583 0.71051 8.34% 48.1 366s
21457 6753 0.68053 52 260 0.65583 0.71051 8.34% 48.1 372s
21459 6755 0.68379 48 265 0.65583 0.71051 8.34% 48.1 375s
21462 6757 0.69226 62 260 0.65583 0.71051 8.34% 48.1 380s
21466 6759 0.69638 43 263 0.65583 0.71051 8.34% 48.1 385s
21468 6761 0.68075 72 264 0.65583 0.71051 8.34% 48.1 390s
21471 6763 0.67255 32 263 0.65583 0.71051 8.34% 48.1 397s
21473 6764 0.67065 55 249 0.65583 0.71051 8.34% 48.1 400s
21476 6766 0.66201 54 256 0.65583 0.71051 8.34% 48.1 405s
21479 6768 0.69565 43 256 0.65583 0.71051 8.34% 48.1 410s
21483 6771 0.68317 39 272 0.65583 0.71051 8.34% 48.1 416s
21485 6772 0.66150 41 269 0.65583 0.71051 8.34% 48.1 420s
21487 6773 0.68310 49 268 0.65583 0.71051 8.34% 48.0 425s
21489 6775 0.67435 61 250 0.65583 0.71051 8.34% 48.0 430s
21491 6776 0.69039 55 255 0.65583 0.71051 8.34% 48.0 436s
21493 6777 0.67607 37 259 0.65583 0.71051 8.34% 48.0 440s
21495 6779 0.66782 53 262 0.65583 0.71051 8.34% 48.0 446s
21497 6780 0.66347 51 219 0.65583 0.71051 8.34% 48.0 452s
21499 6784 0.71051 22 207 0.65583 0.71051 8.34% 50.0 458s
21501 6783 infeasible 23 0.65583 0.71051 8.34% 50.1 464s
21505 6784 0.70794 24 261 0.65583 0.71051 8.34% 50.1 471s
21508 6787 0.69841 25 252 0.65583 0.71051 8.34% 50.2 477s
21520 6793 0.69364 27 234 0.65583 0.71002 8.26% 50.3 480s
21538 6795 0.69127 29 236 0.65583 0.70860 8.05% 50.4 485s
H21540 6456 0.6558283 0.70860 8.05% 50.4 485s
21620 6468 0.70197 29 229 0.65583 0.70860 8.05% 50.7 490s
21772 6500 0.70219 28 234 0.65583 0.70696 7.80% 51.3 495s
21975 6551 0.65999 86 165 0.65583 0.70696 7.80% 51.8 500s
22192 6635 0.66597 76 181 0.65583 0.70688 7.78% 52.2 505s
22588 6770 0.68800 48 221 0.65583 0.70514 7.52% 52.7 511s
22752 6820 0.68105 64 215 0.65583 0.70514 7.52% 53.1 515s
22993 6899 0.65994 50 195 0.65583 0.70143 6.95% 53.8 520s
23327 7003 0.67549 46 222 0.65583 0.70053 6.82% 54.5 526s
23563 7038 0.69057 38 247 0.65583 0.70041 6.80% 55.1 531s
23789 7079 0.65826 43 229 0.65583 0.70004 6.74% 56.0 536s
23949 7139 0.68154 49 221 0.65583 0.69972 6.69% 56.5 540s
24148 7213 0.66784 50 209 0.65583 0.69972 6.69% 57.2 545s
24308 7247 0.69361 32 262 0.65583 0.69964 6.68% 58.1 550s
24475 7307 0.66717 53 205 0.65583 0.69960 6.67% 58.7 556s
24582 7341 0.67379 43 206 0.65583 0.69892 6.57% 59.2 561s
24787 7356 cutoff 41 0.65583 0.69854 6.51% 60.2 566s
24998 7394 0.67578 42 249 0.65583 0.69812 6.45% 61.1 572s
25138 7423 cutoff 47 0.65583 0.69798 6.43% 61.6 575s
25347 7437 0.67758 42 242 0.65583 0.69796 6.42% 62.9 581s
25452 7438 cutoff 56 0.65583 0.69780 6.40% 63.6 585s
25746 7502 0.68605 32 244 0.65583 0.69761 6.37% 64.6 592s
25901 7536 0.67056 45 227 0.65583 0.69730 6.32% 65.2 596s
26045 7574 0.67099 41 243 0.65583 0.69729 6.32% 65.5 600s
Cutting planes:
Gomory: 202
Cover: 10
Implied bound: 21
Projected implied bound: 57
Clique: 1
MIR: 130
StrongCG: 4
Flow cover: 596
Inf proof: 42
Zero half: 3
Explored 26170 nodes (1730350 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.655828 0.655828 0.655828
Time limit reached
Best objective 6.558283377621e-01, best bound 6.972933553573e-01, gap 6.3225%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwsq8v0ng.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_ij1paj4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.651317
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 8.570119e-01, 1343 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85701 0 110 0.65132 0.85701 31.6% - 0s
0 0 0.83538 0 134 0.65132 0.83538 28.3% - 0s
0 0 0.83522 0 135 0.65132 0.83522 28.2% - 0s
0 0 0.82694 0 136 0.65132 0.82694 27.0% - 0s
0 0 0.82689 0 140 0.65132 0.82689 27.0% - 0s
0 0 0.82376 0 145 0.65132 0.82376 26.5% - 0s
0 0 0.82355 0 146 0.65132 0.82355 26.4% - 0s
0 0 0.82235 0 152 0.65132 0.82235 26.3% - 0s
0 0 0.82227 0 149 0.65132 0.82227 26.2% - 0s
0 0 0.82200 0 152 0.65132 0.82200 26.2% - 0s
0 0 0.82199 0 153 0.65132 0.82199 26.2% - 0s
0 0 0.82197 0 150 0.65132 0.82197 26.2% - 0s
0 0 0.82197 0 151 0.65132 0.82197 26.2% - 0s
0 0 0.82197 0 151 0.65132 0.82197 26.2% - 0s
0 0 0.82197 0 135 0.65132 0.82197 26.2% - 0s
0 2 0.82197 0 134 0.65132 0.82197 26.2% - 0s
771 615 0.70155 34 162 0.65132 0.77673 19.3% 20.7 5s
892 663 0.76227 21 150 0.65132 0.77243 18.6% 34.8 10s
1650 855 0.74254 31 145 0.65132 0.75768 16.3% 37.8 15s
2444 1012 cutoff 20 0.65132 0.75194 15.4% 41.1 20s
H 2991 1256 0.6513175 0.74840 14.9% 41.0 24s
2992 1259 0.73945 32 155 0.65132 0.74840 14.9% 41.0 25s
4019 1870 0.65234 215 26 0.65132 0.74629 14.6% 39.6 30s
5011 2334 0.70729 39 138 0.65132 0.74377 14.2% 40.9 35s
5889 2750 0.65938 54 157 0.65132 0.74178 13.9% 41.7 40s
6507 2955 0.72414 30 143 0.65132 0.73994 13.6% 43.2 45s
7094 3103 cutoff 30 0.65132 0.73901 13.5% 44.5 51s
7742 3245 0.71207 37 155 0.65132 0.73769 13.3% 45.9 55s
8432 3428 0.69712 33 160 0.65132 0.73646 13.1% 46.6 60s
9271 3711 0.72492 35 149 0.65132 0.73555 12.9% 47.0 65s
10083 3896 0.69135 35 146 0.65132 0.73409 12.7% 48.5 71s
10650 4062 infeasible 48 0.65132 0.73344 12.6% 49.4 75s
11255 4213 0.71015 37 152 0.65132 0.73231 12.4% 50.0 80s
12235 4522 0.70521 32 163 0.65132 0.73119 12.3% 51.3 87s
12829 4687 0.66352 52 139 0.65132 0.73043 12.1% 52.0 91s
13621 4999 0.67387 36 147 0.65132 0.72946 12.0% 52.2 96s
14345 5166 0.67376 40 157 0.65132 0.72838 11.8% 52.9 100s
15118 5454 0.67857 31 150 0.65132 0.72714 11.6% 53.2 105s
15773 5709 0.69092 41 142 0.65132 0.72639 11.5% 53.6 111s
16244 5783 cutoff 31 0.65132 0.72589 11.4% 53.9 116s
16977 5924 0.65875 34 158 0.65132 0.72474 11.3% 54.6 120s
17813 6175 0.70503 39 159 0.65132 0.72366 11.1% 54.7 126s
18493 6324 0.70542 49 162 0.65132 0.72267 11.0% 55.1 131s
19187 6414 0.68862 41 141 0.65132 0.72200 10.9% 55.8 136s
19926 6559 0.72045 39 158 0.65132 0.72118 10.7% 56.3 141s
20769 6805 0.66108 45 135 0.65132 0.72044 10.6% 56.3 166s
20778 6811 0.70799 36 220 0.65132 0.72044 10.6% 56.3 171s
20783 6814 0.68743 45 240 0.65132 0.72044 10.6% 56.3 175s
20786 6816 0.67707 49 244 0.65132 0.72044 10.6% 56.3 181s
20791 6820 0.67098 56 253 0.65132 0.72044 10.6% 56.2 187s
20793 6821 0.69050 36 247 0.65132 0.72044 10.6% 56.2 190s
20797 6824 0.71644 37 256 0.65132 0.72044 10.6% 56.2 195s
20800 6826 0.68646 39 264 0.65132 0.72044 10.6% 56.2 200s
20804 6828 0.68463 39 257 0.65132 0.72044 10.6% 56.2 207s
20806 6830 0.68127 39 254 0.65132 0.72044 10.6% 56.2 210s
20810 6832 0.69421 47 262 0.65132 0.72044 10.6% 56.2 217s
20812 6834 0.71042 44 273 0.65132 0.72044 10.6% 56.2 220s
20816 6836 0.70347 36 257 0.65132 0.72044 10.6% 56.2 226s
20820 6839 0.69875 41 252 0.65132 0.72044 10.6% 56.2 230s
20823 6841 0.67672 38 274 0.65132 0.72044 10.6% 56.2 235s
20826 6843 0.66893 39 265 0.65132 0.72044 10.6% 56.1 240s
20829 6845 0.70524 38 269 0.65132 0.72044 10.6% 56.1 245s
20833 6848 0.66240 66 270 0.65132 0.72044 10.6% 56.1 250s
20837 6850 0.71828 42 268 0.65132 0.72044 10.6% 56.1 256s
20840 6852 0.69316 36 262 0.65132 0.72044 10.6% 56.1 260s
20842 6854 0.69903 35 273 0.65132 0.72044 10.6% 56.1 265s
20845 6856 0.66029 84 270 0.65132 0.72044 10.6% 56.1 271s
20849 6858 0.66315 128 266 0.65132 0.72044 10.6% 56.1 275s
20853 6861 0.71130 41 274 0.65132 0.72044 10.6% 56.1 280s
20857 6864 0.71262 37 263 0.65132 0.72044 10.6% 56.1 285s
20861 6866 0.71234 42 271 0.65132 0.72044 10.6% 56.1 291s
20863 6868 0.71914 42 249 0.65132 0.72044 10.6% 56.0 295s
20866 6870 0.69337 40 251 0.65132 0.72044 10.6% 56.0 300s
20869 6872 0.66108 45 255 0.65132 0.72044 10.6% 56.0 306s
20873 6874 0.65826 70 280 0.65132 0.72044 10.6% 56.0 312s
20875 6876 0.68672 54 272 0.65132 0.72044 10.6% 56.0 316s
20878 6878 0.70799 36 281 0.65132 0.72044 10.6% 56.0 320s
20881 6880 0.67166 56 254 0.65132 0.72044 10.6% 56.0 325s
20883 6881 0.68743 45 259 0.65132 0.72044 10.6% 56.0 330s
20885 6882 0.66260 49 268 0.65132 0.72044 10.6% 56.0 335s
20888 6884 0.70583 33 267 0.65132 0.72042 10.6% 56.0 341s
20890 6886 0.65569 52 275 0.65132 0.72030 10.6% 56.0 345s
20893 6888 0.69050 36 257 0.65132 0.72029 10.6% 56.0 351s
20895 6889 0.69352 40 273 0.65132 0.72027 10.6% 56.0 357s
20897 6890 0.71644 37 263 0.65132 0.72026 10.6% 56.0 361s
20899 6892 0.69342 33 268 0.65132 0.72026 10.6% 56.0 366s
20901 6893 0.68285 38 266 0.65132 0.72026 10.6% 55.9 370s
20903 6894 0.67738 43 276 0.65132 0.72024 10.6% 55.9 375s
20906 6896 0.68127 39 271 0.65132 0.72024 10.6% 55.9 380s
20908 6898 0.71180 38 268 0.65132 0.72023 10.6% 55.9 385s
20910 6899 0.69421 47 274 0.65132 0.72023 10.6% 55.9 390s
20913 6901 0.71227 39 267 0.65132 0.72018 10.6% 55.9 395s
20916 6903 0.70347 36 248 0.65132 0.72017 10.6% 55.9 400s
20919 6905 0.71491 35 255 0.65132 0.72007 10.6% 55.9 405s
20923 6908 0.67672 38 259 0.65132 0.72004 10.6% 55.9 410s
20927 6910 0.68931 94 267 0.65132 0.72004 10.6% 55.9 415s
20931 6913 0.65859 64 268 0.65132 0.71947 10.5% 55.9 420s
20933 6914 0.66240 66 259 0.65132 0.71945 10.5% 55.9 426s
20936 6916 0.65926 98 283 0.65132 0.71943 10.5% 55.9 430s
20941 6920 0.67365 46 271 0.65132 0.71940 10.5% 55.8 436s
20945 6922 0.66029 84 259 0.65132 0.71937 10.4% 55.8 442s
20948 6924 0.71796 33 288 0.65132 0.71937 10.4% 55.8 445s
20951 6926 0.70161 35 277 0.65132 0.71937 10.4% 55.8 452s
20953 6928 0.71130 41 276 0.65132 0.71937 10.4% 55.8 455s
20954 6931 0.71133 21 273 0.65132 0.71846 10.3% 58.3 462s
20956 6931 0.71125 22 281 0.65132 0.71427 9.67% 58.3 470s
20960 6931 0.70771 23 274 0.65132 0.71272 9.43% 58.4 479s
20964 6930 0.68789 24 241 0.65132 0.71192 9.30% 58.4 485s
20983 6932 0.70512 29 254 0.65132 0.70926 8.90% 58.6 491s
21029 6943 0.69576 41 240 0.65132 0.70926 8.90% 58.8 495s
21219 7020 0.66284 110 130 0.65132 0.70695 8.54% 58.9 500s
21432 7065 0.66383 39 208 0.65132 0.70512 8.26% 59.1 505s
21528 7090 0.65238 57 213 0.65132 0.70489 8.23% 59.3 510s
21814 7187 0.69357 36 265 0.65132 0.70460 8.18% 59.5 515s
22008 7222 0.66054 73 209 0.65132 0.70460 8.18% 60.1 520s
22287 7300 cutoff 43 0.65132 0.70090 7.61% 60.5 525s
22528 7367 0.68832 38 253 0.65132 0.69958 7.41% 61.0 530s
22696 7415 0.66715 33 242 0.65132 0.69870 7.27% 61.6 535s
23020 7504 0.66076 62 174 0.65132 0.69753 7.10% 62.3 541s
23202 7536 0.67158 44 242 0.65132 0.69734 7.07% 62.7 545s
23362 7563 0.67391 46 219 0.65132 0.69603 6.87% 63.2 550s
23501 7589 0.68358 44 242 0.65132 0.69565 6.81% 63.4 555s
23730 7634 0.68828 44 239 0.65132 0.69531 6.75% 63.8 560s
24022 7728 0.65626 51 218 0.65132 0.69500 6.71% 64.1 565s
24281 7777 0.68298 47 229 0.65132 0.69464 6.65% 64.6 570s
24590 7862 0.65939 75 183 0.65132 0.69428 6.60% 65.1 576s
24942 7964 0.69010 43 232 0.65132 0.69398 6.55% 65.5 582s
25129 8026 0.65143 84 173 0.65132 0.69398 6.55% 65.8 586s
25266 8064 cutoff 50 0.65132 0.69341 6.46% 65.9 590s
25589 8130 cutoff 55 0.65132 0.69305 6.41% 66.7 597s
25799 8176 0.66664 62 222 0.65132 0.69292 6.39% 67.0 600s
Cutting planes:
Gomory: 210
Cover: 2
Implied bound: 28
Projected implied bound: 35
Clique: 1
MIR: 137
StrongCG: 2
Flow cover: 533
Inf proof: 39
Zero half: 4
Explored 25916 nodes (1743525 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.651317 0.651317
Time limit reached
Best objective 6.513174633125e-01, best bound 6.927369923356e-01, gap 6.3593%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 5
Seed for training 352
Seed for simulation 265
direc: array([[-4.34294447, 0. , 4.07468193],
[-2.96622419, 0. , 3.94235621],
[ 5.67422369, 27.05727551, 25.09526638]])
fopt: 0.615170448043471
fun: -0.614204233298821
message: 'Optimization terminated successfully.'
nfev: 665
nit: 8
status: 0
success: True
x: array([146.14040852, 52.02945528, 198. ])
xopt: array([146., 53., 199.])
zopt: array([146., 199., 398.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjz6knos7.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0zr70nqw.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.61517
Presolve removed 899 rows and 580 columns
Presolve time: 0.04s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.297210e-01, 1371 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.82972 0 162 0.61517 0.82972 34.9% - 0s
0 0 0.81751 0 170 0.61517 0.81751 32.9% - 0s
0 0 0.81397 0 169 0.61517 0.81397 32.3% - 0s
0 0 0.81396 0 169 0.61517 0.81396 32.3% - 0s
0 0 0.81376 0 171 0.61517 0.81376 32.3% - 0s
0 0 0.81364 0 169 0.61517 0.81364 32.3% - 0s
0 0 0.81364 0 170 0.61517 0.81364 32.3% - 0s
0 0 0.81364 0 170 0.61517 0.81364 32.3% - 0s
0 0 0.81364 0 162 0.61517 0.81364 32.3% - 0s
0 2 0.81364 0 161 0.61517 0.81364 32.3% - 0s
1393 732 0.68163 49 142 0.61517 0.75466 22.7% 19.2 5s
3211 1404 0.70441 38 138 0.61517 0.74664 21.4% 22.6 10s
H 3502 1303 0.6444666 0.74606 15.8% 22.6 12s
H 3517 1309 0.6444666 0.74606 15.8% 22.6 12s
4582 1667 0.70446 38 142 0.64447 0.73731 14.4% 24.1 15s
6635 2567 0.69148 36 145 0.64447 0.72788 12.9% 24.9 20s
7915 3121 0.65628 31 149 0.64447 0.72499 12.5% 25.0 25s
9778 3870 infeasible 62 0.64447 0.72100 11.9% 25.4 30s
11856 4585 0.65376 53 157 0.64447 0.71632 11.1% 26.3 35s
13664 5219 0.68433 35 148 0.64447 0.71347 10.7% 26.4 40s
15369 5663 0.66623 40 147 0.64447 0.71092 10.3% 26.9 45s
16659 6089 infeasible 32 0.64447 0.70950 10.1% 26.8 50s
18363 6576 infeasible 41 0.64447 0.70759 9.79% 27.1 55s
20192 7098 0.64966 53 132 0.64447 0.70559 9.48% 27.2 60s
20819 7262 0.66359 46 162 0.64447 0.70489 9.38% 27.4 84s
20828 7268 0.67073 42 258 0.64447 0.70489 9.38% 27.3 85s
20839 7275 0.65687 63 265 0.64447 0.70489 9.38% 27.3 90s
20845 7279 0.64768 221 267 0.64447 0.70489 9.38% 27.3 95s
20856 7287 0.67629 42 283 0.64447 0.70489 9.38% 27.3 100s
20864 7292 0.67610 48 283 0.64447 0.70489 9.38% 27.3 105s
20874 7299 0.67499 41 292 0.64447 0.70489 9.38% 27.3 110s
20884 7305 0.64847 56 299 0.64447 0.70489 9.38% 27.3 115s
20891 7310 0.67318 42 293 0.64447 0.70489 9.38% 27.3 120s
20897 7314 0.67794 38 282 0.64447 0.70489 9.38% 27.3 126s
20900 7317 0.70489 22 262 0.64447 0.70489 9.38% 27.5 134s
20902 7316 infeasible 23 0.64447 0.70489 9.38% 27.5 137s
20904 7317 0.70489 24 279 0.64447 0.70489 9.38% 27.5 142s
20906 7316 0.70489 25 276 0.64447 0.70489 9.38% 27.6 148s
20909 7314 infeasible 26 0.64447 0.70489 9.38% 27.6 150s
20951 7330 0.68624 33 243 0.64447 0.70489 9.38% 27.7 155s
21129 7369 0.69188 30 236 0.64447 0.70489 9.38% 28.0 162s
21314 7421 cutoff 43 0.64447 0.70489 9.38% 28.3 165s
21615 7474 cutoff 46 0.64447 0.70489 9.38% 29.5 170s
22016 7551 0.66457 42 220 0.64447 0.70489 9.38% 30.4 175s
22460 7627 0.66465 98 151 0.64447 0.70489 9.38% 31.2 180s
23091 7774 0.67617 50 170 0.64447 0.70489 9.38% 31.9 185s
23467 7841 0.69057 42 206 0.64447 0.70489 9.38% 32.6 190s
24137 8022 0.65212 54 196 0.64447 0.70489 9.38% 33.2 195s
24714 8044 0.69602 46 183 0.64447 0.70489 9.38% 33.8 200s
25056 8073 0.66321 48 176 0.64447 0.70489 9.38% 34.4 205s
25596 8161 0.66640 39 228 0.64447 0.70489 9.38% 35.0 210s
26127 8143 0.68780 51 174 0.64447 0.70489 9.38% 36.2 216s
26574 8174 cutoff 69 0.64447 0.70489 9.38% 36.9 220s
26986 8209 0.66649 52 162 0.64447 0.70489 9.38% 37.4 230s
27436 8202 0.68796 52 181 0.64447 0.70443 9.30% 38.0 235s
27929 8170 0.67430 37 200 0.64447 0.70334 9.14% 39.0 240s
28398 8134 0.67271 59 197 0.64447 0.70217 8.95% 40.1 246s
28666 8122 0.68137 51 171 0.64447 0.70184 8.90% 40.7 250s
29164 8098 0.66932 53 189 0.64447 0.70088 8.75% 41.4 257s
29479 8088 0.66212 54 197 0.64447 0.70027 8.66% 42.0 260s
30048 8014 0.69429 42 201 0.64447 0.69907 8.47% 43.0 268s
30432 7976 cutoff 59 0.64447 0.69862 8.40% 43.5 272s
30794 7951 0.68409 43 213 0.64447 0.69789 8.29% 44.1 277s
31068 7918 cutoff 54 0.64447 0.69740 8.21% 44.6 281s
31495 7883 0.67937 55 195 0.64447 0.69672 8.11% 45.2 286s
31849 7817 0.64550 60 146 0.64447 0.69633 8.05% 45.8 291s
32212 7795 cutoff 53 0.64447 0.69578 7.96% 46.4 295s
32626 7775 0.68167 44 207 0.64447 0.69514 7.86% 46.9 300s
33340 7650 infeasible 59 0.64447 0.69416 7.71% 48.1 308s
33784 7583 0.68735 52 173 0.64447 0.69385 7.66% 48.6 313s
34109 7591 infeasible 64 0.64447 0.69328 7.57% 48.8 317s
34523 7535 0.64782 51 180 0.64447 0.69285 7.51% 49.2 321s
34886 7466 cutoff 49 0.64447 0.69250 7.45% 49.8 326s
35191 7394 0.66019 65 145 0.64447 0.69205 7.38% 50.3 331s
35563 7334 0.64534 63 179 0.64447 0.69157 7.31% 50.8 335s
36423 7230 0.66656 41 181 0.64447 0.69038 7.12% 51.7 344s
36903 7154 cutoff 59 0.64447 0.68970 7.02% 52.0 348s
37356 7088 0.66132 52 181 0.64447 0.68925 6.95% 52.5 353s
37806 7034 0.65498 57 192 0.64447 0.68883 6.88% 52.8 358s
38295 6998 0.68099 56 159 0.64447 0.68827 6.80% 53.1 363s
38731 6950 0.66958 44 189 0.64447 0.68785 6.73% 53.3 367s
39115 6864 0.67996 51 201 0.64447 0.68733 6.65% 53.8 372s
39442 6774 cutoff 37 0.64447 0.68699 6.60% 54.3 376s
39893 6704 0.66567 46 214 0.64447 0.68694 6.59% 54.6 381s
40420 6641 0.67121 94 119 0.64447 0.68644 6.51% 54.8 386s
40862 6596 0.65158 42 189 0.64447 0.68597 6.44% 55.1 390s
41271 6524 0.67757 60 165 0.64447 0.68570 6.40% 55.4 395s
42231 6338 0.66965 65 177 0.64447 0.68493 6.28% 55.8 403s
42675 6282 0.67277 41 162 0.64447 0.68457 6.22% 56.1 407s
43018 6255 0.66834 43 200 0.64447 0.68432 6.18% 56.4 411s
43345 6302 cutoff 39 0.64447 0.68403 6.14% 56.6 416s
43773 6391 0.65958 56 164 0.64447 0.68373 6.09% 56.9 421s
44264 6510 cutoff 44 0.64447 0.68344 6.05% 57.0 425s
45104 6669 0.67557 48 148 0.64447 0.68281 5.95% 57.5 433s
45502 6707 0.66854 57 180 0.64447 0.68254 5.91% 57.7 437s
45984 6835 0.65128 57 176 0.64447 0.68226 5.86% 57.9 441s
46566 7017 0.67205 42 213 0.64447 0.68206 5.83% 57.8 445s
47362 7089 cutoff 47 0.64447 0.68150 5.75% 58.3 453s
47875 7206 infeasible 54 0.64447 0.68113 5.69% 58.4 458s
48381 7289 0.66248 76 175 0.64447 0.68086 5.65% 58.5 462s
48885 7356 0.66493 52 180 0.64447 0.68051 5.59% 58.6 466s
49323 7427 0.67887 50 153 0.64447 0.68023 5.55% 58.7 470s
49846 7568 infeasible 49 0.64447 0.67991 5.50% 58.7 475s
50821 7798 cutoff 50 0.64447 0.67954 5.44% 58.9 483s
51200 7901 0.65819 53 159 0.64447 0.67931 5.41% 59.0 487s
51701 8004 0.67425 50 181 0.64447 0.67911 5.38% 59.0 492s
52109 8071 0.64786 65 157 0.64447 0.67886 5.34% 59.1 495s
52533 8169 0.66207 64 177 0.64447 0.67859 5.29% 59.2 503s
52542 8131 0.66201 65 161 0.64447 0.67855 5.29% 59.3 507s
52968 8173 cutoff 46 0.64447 0.67836 5.26% 59.4 510s
53830 8333 cutoff 49 0.64447 0.67786 5.18% 59.6 518s
54192 8385 0.65153 43 197 0.64447 0.67786 5.18% 59.8 522s
54581 8440 cutoff 65 0.64447 0.67754 5.13% 60.0 526s
54998 8493 cutoff 52 0.64447 0.67747 5.12% 60.1 530s
55862 8604 0.65408 56 177 0.64447 0.67713 5.07% 60.3 537s
56355 8668 cutoff 54 0.64447 0.67692 5.04% 60.4 541s
56791 8730 0.67089 54 188 0.64447 0.67673 5.01% 60.5 545s
57697 8833 0.65183 88 136 0.64447 0.67641 4.96% 60.6 552s
58144 8910 cutoff 52 0.64447 0.67623 4.93% 60.7 556s
58636 9019 0.65503 101 119 0.64447 0.67611 4.91% 60.6 560s
59586 9235 0.65104 59 173 0.64447 0.67582 4.87% 60.6 568s
60001 9293 0.65239 64 177 0.64447 0.67570 4.85% 60.7 571s
60431 9387 0.65775 75 142 0.64447 0.67544 4.81% 60.7 575s
61285 9563 0.66120 48 178 0.64447 0.67517 4.76% 60.8 582s
61743 9627 cutoff 57 0.64447 0.67502 4.74% 60.9 586s
62159 9693 0.65244 38 216 0.64447 0.67492 4.72% 60.9 590s
63074 9881 0.66057 48 205 0.64447 0.67465 4.68% 60.9 597s
63524 10014 infeasible 58 0.64447 0.67453 4.66% 60.9 600s
H63528 9922 0.6454176 0.67453 4.51% 60.9 600s
Cutting planes:
Gomory: 257
Cover: 1
Implied bound: 30
Projected implied bound: 91
Clique: 1
MIR: 41
Flow cover: 158
Inf proof: 2
Explored 63754 nodes (3883386 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.645418 0.644467 0.644467 0.61517
Time limit reached
Best objective 6.454175946573e-01, best bound 6.744374076858e-01, gap 4.4963%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb0x0m0dn.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv8_iy6d4.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.00s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.9123215e+01 5.052500e+02 0.000000e+00 0s
236 1.2004190e+01 0.000000e+00 0.000000e+00 0s
Solved in 236 iterations and 0.01 seconds
Optimal objective 1.200419047e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00294318, -0.01395032, -0.01395032]])
fopt: 3.5534126956833925
fun: -3.564461751680684
message: 'Optimization terminated successfully.'
nfev: 128
nit: 2
status: 0
success: True
x: array([ 19.98779859, -87.9999986 , -87.9999986 ])
xopt: array([20., 0., 0.])
zopt: array([20., 20., 20.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.97273511e-07, -1.35289855e-06, -1.35289855e-06]])
fopt: 2.0216001330791937
fun: -2.0368699725987236
message: 'Optimization terminated successfully.'
nfev: 133
nit: 2
status: 0
success: True
x: array([ 34.07532867, -87.98581917, -87.99581917])
xopt: array([34., 0., 0.])
zopt: array([34., 34., 34.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.00929181e-02, 9.80706236e-04, 4.53162441e-04]])
fopt: 1.9127304590843774
fun: -1.9205920986315772
message: 'Optimization terminated successfully.'
nfev: 596
nit: 8
status: 0
success: True
x: array([58.59435824, -0.998543 , -0.99942156])
xopt: array([58., 0., 0.])
zopt: array([58., 58., 58.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.11110851e-02, -5.92967102e-04, 0.00000000e+00]])
fopt: 1.4809564288935055
fun: -1.485073192572474
message: 'Optimization terminated successfully.'
nfev: 235
nit: 2
status: 0
success: True
x: array([71.76568909, -0.98944577, 1. ])
xopt: array([72., 0., 1.])
zopt: array([72., 72., 73.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.17102229e-05, -1.00305558e-06, -3.68402773e-16]])
fopt: 1.2319814424907234
fun: -1.23224533630244
message: 'Optimization terminated successfully.'
nfev: 210
nit: 2
status: 0
success: True
x: array([97.66415756, 2.05578119, 1. ])
xopt: array([97., 2., 1.])
zopt: array([ 97., 99., 100.])
*******************************************
Period: 6
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1491
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 7
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[65.12860886, 0.90635216, -4.28307086]])
fopt: 1.2526210362620873
fun: -1.2700185463931613
message: 'Optimization terminated successfully.'
nfev: 229
nit: 3
status: 0
success: True
x: array([137.98660349, 2.14242048, -12.79088222])
xopt: array([137., 3., 0.])
zopt: array([137., 140., 140.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1471
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[99.80844964, 1.38896877, -8.24667017]])
fopt: 1.006160437541308
fun: -1.0177624031545573
message: 'Optimization terminated successfully.'
nfev: 429
nit: 4
status: 0
success: True
x: array([172.66640061, 3.38895566, -13.90675483])
xopt: array([172., 4., 0.])
zopt: array([172., 176., 176.])
*******************************************
Period: 10
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[122.89715045, 1.71027908, -3.39844455]])
fopt: 0.9426011422892033
fun: -0.9463408295735015
message: 'Optimization terminated successfully.'
nfev: 348
nit: 4
status: 0
success: True
x: array([195.75565137, 3.20078199, -3.85819576])
xopt: array([195., 3., 0.])
zopt: array([195., 198., 198.])
*******************************************
Period: 11
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[132.07448674, 1.83799406, 5.5566542 ]])
fopt: 0.9634922625689778
fun: -0.9589154251409614
message: 'Optimization terminated successfully.'
nfev: 479
nit: 5
status: 0
success: True
x: array([204.93244072, 3.07406208, 9.45256843])
xopt: array([204., 3., 10.])
zopt: array([204., 207., 217.])
*******************************************
Period: 12
direc: array([[ 1.27637123e+02, 1.75036905e+00, 7.32494445e+00],
[-2.47324236e-02, -2.25322336e+00, 3.02262947e+00],
[ 2.00763234e-04, -2.16466856e-01, 9.99048861e-01]])
fopt: 0.9150788629215111
fun: -0.9168341009370902
message: 'Optimization terminated successfully.'
nfev: 867
nit: 10
status: 0
success: True
x: array([201.61458057, -5.62312179, 27.00009084])
xopt: array([201., 0., 28.])
zopt: array([201., 201., 229.])
*******************************************
Period: 13
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[130.47702748, 1.76645137, 4.80536265]])
fopt: 0.7895472321259658
fun: -0.7866649687688989
message: 'Optimization terminated successfully.'
nfev: 728
nit: 8
status: 0
success: True
x: array([204.9994895 , 1.12454641, 11. ])
xopt: array([204., 1., 12.])
zopt: array([204., 205., 217.])
*******************************************
Period: 14
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[132.68684509, 1.84691986, 4.88705272]])
fopt: 0.7117740750360246
fun: -0.7120244800782252
message: 'Optimization terminated successfully.'
nfev: 293
nit: 4
status: 0
success: True
x: array([205.47630454, 2.02403801, 10.00012601])
xopt: array([205., 2., 10.])
zopt: array([205., 207., 217.])
*******************************************
Period: 15
direc: array([[ 1.34230270e+02, 1.87795270e+00, 4.52662771e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 6.03397593e-12, 8.44185248e-14, -5.00696810e-07]])
fopt: 0.653064998528388
fun: -0.6515623234097333
message: 'Optimization terminated successfully.'
nfev: 497
nit: 5
status: 0
success: True
x: array([206.70717584, 1.20795271, 10.00503656])
xopt: array([206., 1., 10.])
zopt: array([206., 207., 217.])
*******************************************
Period: 16
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[135.33468991, 0. , 4.24996273]])
fopt: 0.5953150237757666
fun: -0.5997957665496572
message: 'Optimization terminated successfully.'
nfev: 408
nit: 5
status: 0
success: True
x: array([208.2982907 , -1.29851413, 10.00199722])
xopt: array([208., 0., 10.])
zopt: array([208., 208., 218.])
*******************************************
Period: 17
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[134.93117693, 0. , 4.70167031]])
fopt: 0.5530633879395452
fun: -0.5523373648294903
message: 'Optimization terminated successfully.'
nfev: 332
nit: 4
status: 0
success: True
x: array([207.72356537, 1.08949972, 9.00054875])
xopt: array([207., 1., 9.])
zopt: array([207., 208., 217.])
*******************************************
Period: 18
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[136.97119226, 0. , 4.01285308]])
fopt: 0.5014926524109168
fun: -0.502776852310404
message: 'Optimization terminated successfully.'
nfev: 282
nit: 3
status: 0
success: True
x: array([209.15746941, 1.00795823, 7.00008713])
xopt: array([209., 1., 7.])
zopt: array([209., 210., 217.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[135.69559004, 0. , 4.71871648]])
fopt: 0.47229998697397557
fun: -0.4719108338647028
message: 'Optimization terminated successfully.'
nfev: 549
nit: 6
status: 0
success: True
x: array([207.77315528, 1.0048257 , 9.00000059])
xopt: array([207., 1., 9.])
zopt: array([207., 208., 217.])
*******************************************
Period: 20
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[135.86753558, 0. , 4.51795312]])
fopt: 0.43412346542335184
fun: -0.4350960398308301
message: 'Optimization terminated successfully.'
nfev: 263
nit: 3
status: 0
success: True
x: array([208.164455 , -0.22192656, 9.02027566])
xopt: array([208., 0., 9.])
zopt: array([208., 208., 217.])
*******************************************
Period: 21
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[136.62364804, 0. , 4.2190851 ]])
fopt: 0.40799751982085336
fun: -0.4072485511265723
message: 'Optimization terminated successfully.'
nfev: 310
nit: 4
status: 0
success: True
x: array([208.65151245, 1.1351183 , 8.01724877])
xopt: array([208., 1., 8.])
zopt: array([208., 209., 217.])
*******************************************
Period: 22
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[137.8482021 , 0. , 4.42739895]])
fopt: 0.4080793525825378
fun: -0.4069096442444488
message: 'Optimization terminated successfully.'
nfev: 247
nit: 3
status: 0
success: True
x: array([209.98006917, 1.00000382, 6.00458615])
xopt: array([209., 1., 7.])
zopt: array([209., 210., 217.])
*******************************************
Period: 23
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.24728329, 0. , 0. ]])
fopt: 0.3969837987069992
fun: -0.39779717236648426
message: 'Optimization terminated successfully.'
nfev: 494
nit: 4
status: 0
success: True
x: array([214.99941121, 1.00813062, 1. ])
xopt: array([214., 2., 1.])
zopt: array([214., 216., 217.])
*******************************************
Period: 24
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.06999726e-02, -7.27867629e-06, -0.00000000e+00]])
fopt: 0.39279639116562737
fun: -0.39256605386397064
message: 'Optimization terminated successfully.'
nfev: 206
nit: 2
status: 0
success: True
x: array([215.45479093, 1.14356393, 1. ])
xopt: array([215., 1., 1.])
zopt: array([215., 216., 217.])
*******************************************
Period: 25
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.36071183e-03, -1.05714634e-07, -0.00000000e+00]])
fopt: 0.38876163813691295
fun: -0.3891133030215288
message: 'Optimization terminated successfully.'
nfev: 249
nit: 2
status: 0
success: True
x: array([215.46775798, 1.00519924, 1. ])
xopt: array([215., 1., 1.])
zopt: array([215., 216., 217.])
*******************************************
Period: 26
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.4120984448185313
fun: -0.41195790843408897
message: 'Optimization terminated successfully.'
nfev: 252
nit: 2
status: 0
success: True
x: array([215.47647941, 1.14589796, 1. ])
xopt: array([215., 1., 1.])
zopt: array([215., 216., 217.])
*******************************************
Period: 27
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.60339895e+01, 6.75476724e-04, 1.52018380e+01]])
fopt: 0.4755553350187175
fun: -0.4755277949305527
message: 'Optimization terminated successfully.'
nfev: 598
nit: 6
status: 0
success: True
x: array([194.79214708, 2.00050976, 20.00054107])
xopt: array([194., 3., 20.])
zopt: array([194., 197., 217.])
*******************************************
Period: 28
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-16.03699886, 0. , 15.12687662]])
fopt: 0.48879696795871086
fun: -0.48876984498035714
message: 'Optimization terminated successfully.'
nfev: 664
nit: 6
status: 0
success: True
x: array([194.78306412, 2.00000001, 20.0100278 ])
xopt: array([194., 3., 20.])
zopt: array([194., 197., 217.])
*******************************************
Period: 29
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 0.4448929204589743
fun: -0.44672806729507314
message: 'Optimization terminated successfully.'
nfev: 243
nit: 2
status: 0
success: True
x: array([214.17591897, 2. , 1.00000152])
xopt: array([214., 2., 1.])
zopt: array([214., 216., 217.])
*******************************************
Period: 30
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.65974963e-03, 7.87310850e-06, 0.00000000e+00]])
fopt: 0.4712971554062372
fun: -0.4719860543900637
message: 'Optimization terminated successfully.'
nfev: 271
nit: 2
status: 0
success: True
x: array([213.94513376, 2.01011629, 1. ])
xopt: array([213., 3., 1.])
zopt: array([213., 216., 217.])
*******************************************
Period: 31
direc: array([[0. , 0. , 1. ],
[0. , 1. , 0. ],
[0.28477831, 0.00134021, 0.00134021]])
fopt: 0.478163831066111
fun: -0.4786039652842971
message: 'Optimization terminated successfully.'
nfev: 277
nit: 3
status: 0
success: True
x: array([213.5966999 , 2.00115985, 2.00044754])
xopt: array([213., 2., 2.])
zopt: array([213., 215., 217.])
*******************************************
Period: 32
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.67019373e-04, 6.70860132e-09, 1.24585197e-15]])
fopt: 0.4697695915328849
fun: -0.4697964616495134
message: 'Optimization terminated successfully.'
nfev: 292
nit: 3
status: 0
success: True
x: array([214.8544574 , 1.00057918, 2. ])
xopt: array([214., 1., 2.])
zopt: array([214., 215., 217.])
*******************************************
Period: 33
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 5.00517085]])
fopt: 0.46763116746741595
fun: -0.46746757296232166
message: 'Optimization terminated successfully.'
nfev: 618
nit: 7
status: 0
success: True
x: array([214.9706516 , 2.00051867, 10.00693831])
xopt: array([214., 2., 10.])
zopt: array([214., 216., 226.])
*******************************************
Period: 34
direc: array([[1.62079940e-01, 7.57774011e-04, 7.57774011e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.444288125304317
fun: -0.4444917804748418
message: 'Optimization terminated successfully.'
nfev: 321
nit: 3
status: 0
success: True
x: array([215.05162749, 2.00072271, 3.00075777])
xopt: array([215., 2., 4.])
zopt: array([215., 217., 221.])
*******************************************
Period: 35
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -0.23098645, 188.08189026]])
fopt: 0.7280851742229043
fun: -0.7494588714915924
message: 'Optimization terminated successfully.'
nfev: 461
nit: 6
status: 0
success: True
x: array([216.46799122, -19.46800161, 193. ])
xopt: array([216., 0., 193.])
zopt: array([216., 216., 409.])
*******************************************
Period: 36
direc: array([[1.01412504e-03, 4.75266300e-06, 5.59147003e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4175314879309422
fun: -0.4170606612402081
message: 'Optimization terminated successfully.'
nfev: 266
nit: 3
status: 0
success: True
x: array([214.38139453, 2.00000078, 3.1764976 ])
xopt: array([214., 2., 4.])
zopt: array([214., 216., 220.])
*******************************************
Period: 37
direc: array([[2.24416722e-05, 1.05197570e-07, 1.05197570e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4036805003989354
fun: -0.4037005422261908
message: 'Optimization terminated successfully.'
nfev: 386
nit: 3
status: 0
success: True
x: array([214.32883126, 2.00000009, 3.02257406])
xopt: array([214., 2., 4.])
zopt: array([214., 216., 220.])
*******************************************
Period: 38
direc: array([[-1.28150953, 0. , 2.00448775],
[ 0. , 1. , 0. ],
[-1.77997189, 1. , -0.02229192]])
fopt: 0.7570806022533286
fun: -0.7570021834308219
message: 'Optimization terminated successfully.'
nfev: 494
nit: 6
status: 0
success: True
x: array([194.88283634, 4.00006444, 217.00004367])
xopt: array([194., 4., 217.])
zopt: array([194., 198., 415.])
*******************************************
Period: 39
direc: array([[ -0.34702864, 3.04902252, 2.03268168],
[ 0. , 1. , 0. ],
[-244.21623063, 171.53477756, 104.44142205]])
fopt: 0.744239964613694
fun: -0.7436843548702672
message: 'Optimization terminated successfully.'
nfev: 605
nit: 7
status: 0
success: True
x: array([ 83.48060023, 194.00000163, 119.1542471 ])
xopt: array([ 84., 194., 120.])
zopt: array([ 84., 278., 398.])
*******************************************
Period: 40
direc: array([[-2.41220741e+02, 1.78867464e+02, 1.09260151e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.66606964e-08, 1.82991512e-11, -0.00000000e+00]])
fopt: 0.7295306976538556
fun: -0.7294201927047729
message: 'Optimization terminated successfully.'
nfev: 512
nit: 7
status: 0
success: True
x: array([ 84.99235193, 193.00003981, 121.31349643])
xopt: array([ 85., 193., 122.])
zopt: array([ 85., 278., 400.])
*******************************************
Period: 41
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-240.35133921, 181.00563677, 120.67042451]])
fopt: 0.7187378086618386
fun: -0.717675351068643
message: 'Optimization terminated successfully.'
nfev: 359
nit: 5
status: 0
success: True
x: array([ 93.017291 , 188.01208344, 125.67472288])
xopt: array([ 93., 188., 125.])
zopt: array([ 93., 281., 406.])
*******************************************
Period: 42
direc: array([[ -1.07696712, 1. , 1. ],
[-251.84743441, 156.11741142, 100.20333239],
[ 0. , 4.00000005, 0. ]])
fopt: 0.6911867116072282
fun: -0.6907613142694072
message: 'Optimization terminated successfully.'
nfev: 1215
nit: 12
status: 0
success: True
x: array([ 83. , 204.00002657, 106.21752316])
xopt: array([ 83., 205., 107.])
zopt: array([ 83., 288., 395.])
*******************************************
Period: 43
direc: array([[-2.22321690e+00, -8.38927997e-05, -1.16997999e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.19113455e-09, -4.49473075e-14, -1.31135349e-05]])
fopt: 0.35633826529498014
fun: -0.3563580736305783
message: 'Optimization terminated successfully.'
nfev: 569
nit: 5
status: 0
success: True
x: array([213.36211686, 1.0058544 , 4.00326302])
xopt: array([213., 1., 5.])
zopt: array([213., 214., 219.])
*******************************************
Period: 44
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -2.28718909e-10, 5.37490262e-07]])
fopt: 0.35745494128696736
fun: -0.35631870153672784
message: 'Optimization terminated successfully.'
nfev: 257
nit: 3
status: 0
success: True
x: array([214.94307476, 2.12786782, 3.00000049])
xopt: array([214., 2., 4.])
zopt: array([214., 216., 220.])
*******************************************
Period: 45
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -5.23527894e-10, 4.00000005e+00]])
fopt: 0.36786850519135694
fun: -0.36806486952572615
message: 'Optimization terminated successfully.'
nfev: 429
nit: 4
status: 0
success: True
x: array([215.0860822 , 1.00000215, 9.00000004])
xopt: array([215., 1., 10.])
zopt: array([215., 216., 226.])
*******************************************
Period: 46
direc: array([[ -0.30771495, 1.03907079, 1. ],
[ 0. , 1. , 0. ],
[-24.25359776, 17.11821125, 11.37703177]])
fopt: 0.6909848810069569
fun: -0.6900754317756095
message: 'Optimization terminated successfully.'
nfev: 379
nit: 6
status: 0
success: True
x: array([ 82.46222203, 187.00500872, 125.07202422])
xopt: array([ 83., 187., 126.])
zopt: array([ 83., 270., 396.])
*******************************************
Period: 47
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-259.89866369, 143.55170352, 96.09952925]])
fopt: 0.6376405155107387
fun: -0.6370696659837137
message: 'Optimization terminated successfully.'
nfev: 340
nit: 5
status: 0
success: True
x: array([ 77.99986442, 153. , 101.12362477])
xopt: array([ 78., 153., 102.])
zopt: array([ 78., 231., 333.])
*******************************************
Period: 48
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.04010079e+01, 7.02624996e+00, 4.75340947e+00],
[-1.00080810e-06, -1.02540901e-04, 5.88650483e-07]])
fopt: 0.6692404670033989
fun: -0.6689584650851057
message: 'Optimization terminated successfully.'
nfev: 505
nit: 7
status: 0
success: True
x: array([ 84.99972164, 178.00001311, 118.62304228])
xopt: array([ 85., 179., 119.])
zopt: array([ 85., 264., 383.])
*******************************************
Period: 49
direc: array([[ 1. , 0. , 0. ],
[-261.27182802, 156.04133733, 104.4282625 ],
[ 0. , 15.03833752, 0. ]])
fopt: 0.6489444611828362
fun: -0.6477130020395175
message: 'Optimization terminated successfully.'
nfev: 1197
nit: 12
status: 0
success: True
x: array([ 77.98801752, 185.03548706, 109.44559777])
xopt: array([ 77., 186., 110.])
zopt: array([ 77., 263., 373.])
*******************************************
Period: 50
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.60593601e+01, 7.48135709e+00, 5.01902532e+00],
[-5.59955639e-08, -5.35538373e-03, 2.45519329e-10]])
fopt: 0.5764882067921804
fun: -0.5729973094005856
message: 'Optimization terminated successfully.'
nfev: 572
nit: 8
status: 0
success: True
x: array([ 78. , 136.00000089, 88.10335829])
xopt: array([ 77., 137., 89.])
zopt: array([ 77., 214., 303.])
*******************************************
Period: 51
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-236.80896975, 187.77999951, 116.20520231]])
fopt: 0.6591589054834966
fun: -0.6597678834124416
message: 'Optimization terminated successfully.'
nfev: 603
nit: 9
status: 0
success: True
x: array([ 84.93964454, 175.00002328, 129.04261502])
xopt: array([ 85., 176., 130.])
zopt: array([ 85., 261., 391.])
*******************************************
Period: 52
direc: array([[-4.08207532e+01, 1.51924730e+01, 1.00779818e+01],
[-3.08286879e+00, 1.00000000e+00, 1.00000000e+00],
[ 6.66257460e-02, -5.10766279e-02, -3.36706445e-02]])
fopt: 0.5006194901235567
fun: -0.49661413827770395
message: 'Optimization terminated successfully.'
nfev: 372
nit: 6
status: 0
success: True
x: array([96.48231739, 96.01989837, 65.00007386])
xopt: array([97., 97., 66.])
zopt: array([ 97., 194., 260.])
*******************************************
Period: 53
direc: array([[-2.39882152e+02, 9.02594816e+01, 6.02289460e+01],
[-3.19844547e+00, 1.02296730e+00, 1.02296730e+00],
[ 3.43661870e-07, 2.33878522e-11, 1.61405900e-11]])
fopt: 0.5040659240715519
fun: -0.5018791246582245
message: 'Optimization terminated successfully.'
nfev: 442
nit: 6
status: 0
success: True
x: array([100.99409995, 96.02438711, 65.06979257])
xopt: array([100., 97., 66.])
zopt: array([100., 197., 263.])
*******************************************
Period: 54
direc: array([[-2.37852695e+02, 1.16151993e+02, 5.81244337e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.01690703e-07, -1.48922614e-05, -1.24827374e-05]])
fopt: 0.5944615106884718
fun: -0.5941654343362296
message: 'Optimization terminated successfully.'
nfev: 652
nit: 9
status: 0
success: True
x: array([ 78.82744045, 165. , 90.00035279])
xopt: array([ 78., 165., 91.])
zopt: array([ 78., 243., 334.])
*******************************************
Period: 55
direc: array([[-6.18964266e-01, 9.88500904e-01, 1.01307002e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 5.38231719e-02, -9.40928589e-02, -7.39865326e-04]])
fopt: 0.39486279413865744
fun: -0.39461154876222987
message: 'Optimization terminated successfully.'
nfev: 1464
nit: 17
status: 0
success: True
x: array([251.92526976, 149.00484079, 5.0273454 ])
xopt: array([251., 149., 6.])
zopt: array([251., 400., 406.])
*******************************************
Period: 56
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-56.79934561, 56.50942384, 37.73491174]])
fopt: 0.6285198006402677
fun: -0.6294181648158308
message: 'Optimization terminated successfully.'
nfev: 455
nit: 7
status: 0
success: True
x: array([ 84.98568698, 186.00238207, 124.053038 ])
xopt: array([ 85., 187., 125.])
zopt: array([ 85., 272., 397.])
*******************************************
Period: 57
direc: array([[ 1.88243305e+00, 3.11168501e-01, 8.24997293e-01],
[ 6.17081540e+00, 1.43873175e+01, 3.98391906e+01],
[ 2.21973551e-22, 3.66640052e-23, -1.00000000e-11]])
fopt: 0.6717914965884103
fun: -0.6714497142355137
message: 'Optimization terminated successfully.'
nfev: 973
nit: 12
status: 0
success: True
x: array([100.4920813, 113.1073799, 192. ])
xopt: array([100., 114., 192.])
zopt: array([100., 214., 406.])
*******************************************
Period: 58
direc: array([[ 0. , 6.06592986, 0. ],
[-14.59452668, 7.01637701, 4.7048483 ],
[ 0.14856161, 6.00000001, -0.06581396]])
fopt: 0.6023861702310314
fun: -0.6016485914255026
message: 'Optimization terminated successfully.'
nfev: 1026
nit: 11
status: 0
success: True
x: array([ 77.10987115, 139. , 117.10712348])
xopt: array([ 78., 139., 118.])
zopt: array([ 78., 217., 335.])
*******************************************
Period: 59
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-247.36446834, 105.12774701, 68.55251555]])
fopt: 0.49145670420809157
fun: -0.48916436357404913
message: 'Optimization terminated successfully.'
nfev: 550
nit: 7
status: 0
success: True
x: array([ 85.70706777, 112.00572121, 73.538443 ])
xopt: array([ 85., 112., 74.])
zopt: array([ 85., 197., 271.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqd2k4nzp.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcc7xteli.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [9e-02, 9e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 2.04321
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 3.55341 2.04321
Optimal solution found (tolerance 1.00e-02)
Best objective 3.553412695683e+00, best bound 3.553412695683e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuy_qa7lz.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgtq91pzx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.56253
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.021600e+00, 4 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.0216001 2.02160 0.00% - 0s
Explored 0 nodes (4 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.0216 1.56253
Optimal solution found (tolerance 1.00e-02)
Best objective 2.021600133079e+00, best bound 2.021600133079e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5xpgqwsi.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaciuqk6z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.18342
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.156972e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.15697 0 6 1.18342 2.15697 82.3% - 0s
H 0 0 1.9127305 2.15697 12.8% - 0s
0 0 cutoff 0 1.91273 1.91273 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow path: 2
Explored 1 nodes (31 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.91273 1.18342
Optimal solution found (tolerance 1.00e-02)
Best objective 1.912730459084e+00, best bound 1.912730459084e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo7v50luo.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpljzhrlpp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31611
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 1.769275e+00, 39 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76927 0 9 1.31611 1.76927 34.4% - 0s
H 0 0 1.4820669 1.76927 19.4% - 0s
0 0 cutoff 0 1.48207 1.48207 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 5
Flow cover: 3
Explored 1 nodes (49 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.48207 1.31611
Optimal solution found (tolerance 1.00e-02)
Best objective 1.482066870361e+00, best bound 1.482066870361e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2zoyehw_.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnz7zxy6y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14202
Presolve removed 157 rows and 110 columns
Presolve time: 0.00s
Presolved: 80 rows, 65 columns, 267 nonzeros
Variable types: 33 continuous, 32 integer (29 binary)
Root relaxation: objective 1.503727e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.50373 0 3 1.14202 1.50373 31.7% - 0s
H 0 0 1.3165595 1.50373 14.2% - 0s
0 0 cutoff 0 1.31656 1.31656 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 3
Explored 1 nodes (57 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.31656 1.14202
Optimal solution found (tolerance 1.00e-02)
Best objective 1.316559453471e+00, best bound 1.316559453471e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_4nr76st.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbrckbtm0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.900061
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.775254e+00, 85 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.77525 0 6 0.90006 1.77525 97.2% - 0s
H 0 0 1.2264812 1.77525 44.7% - 0s
0 0 1.51296 0 2 1.22648 1.51296 23.4% - 0s
H 0 0 1.3511772 1.51296 12.0% - 0s
0 0 1.51296 0 2 1.35118 1.51296 12.0% - 0s
0 0 1.51248 0 3 1.35118 1.51248 11.9% - 0s
0 0 1.49010 0 1 1.35118 1.49010 10.3% - 0s
H 0 0 1.3690622 1.49010 8.84% - 0s
0 0 1.48245 0 2 1.36906 1.48245 8.28% - 0s
0 0 1.48243 0 2 1.36906 1.48243 8.28% - 0s
0 0 1.48241 0 2 1.36906 1.48241 8.28% - 0s
0 0 1.48163 0 2 1.36906 1.48163 8.22% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Explored 1 nodes (164 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.36906 1.35118 1.22648 0.900061
Optimal solution found (tolerance 1.00e-02)
Best objective 1.369062248625e+00, best bound 1.369062248625e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5ajyt7tm.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1x_3p6h4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05166
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.886131e+00, 107 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.88613 0 8 1.05166 1.88613 79.3% - 0s
0 0 1.71781 0 12 1.05166 1.71781 63.3% - 0s
H 0 0 1.3111110 1.71781 31.0% - 0s
0 0 1.63387 0 3 1.31111 1.63387 24.6% - 0s
0 0 1.63387 0 3 1.31111 1.63387 24.6% - 0s
H 0 0 1.3439371 1.63387 21.6% - 0s
H 0 0 1.3761581 1.63387 18.7% - 0s
0 2 1.63387 0 3 1.37616 1.63387 18.7% - 0s
H 24 3 1.4297966 1.54960 8.38% 4.5 0s
* 25 3 7 1.4419920 1.54960 7.46% 4.4 0s
Cutting planes:
Gomory: 5
Implied bound: 2
Flow cover: 12
Explored 33 nodes (297 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.44199 1.4298 1.37616 ... 1.05166
Optimal solution found (tolerance 1.00e-02)
Best objective 1.441992032117e+00, best bound 1.441992032117e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf9v9nfci.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmcyd0536.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.22943
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.685262e+00, 130 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68526 0 10 1.22943 1.68526 37.1% - 0s
0 0 1.47023 0 14 1.22943 1.47023 19.6% - 0s
0 0 1.45184 0 12 1.22943 1.45184 18.1% - 0s
0 0 1.45151 0 12 1.22943 1.45151 18.1% - 0s
0 0 1.45151 0 12 1.22943 1.45151 18.1% - 0s
H 0 0 1.2328496 1.45151 17.7% - 0s
H 0 0 1.2543917 1.45151 15.7% - 0s
0 2 1.45151 0 12 1.25439 1.45151 15.7% - 0s
H 10 4 1.2667451 1.42014 12.1% 2.8 0s
Cutting planes:
Gomory: 6
Implied bound: 2
Flow cover: 8
Explored 40 nodes (327 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.26675 1.25439 1.23285 1.22943
Optimal solution found (tolerance 1.00e-02)
Best objective 1.266745088016e+00, best bound 1.266745088016e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgep1jmv8.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjw4nvb_y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07474
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.701971e+00, 147 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70197 0 11 1.07474 1.70197 58.4% - 0s
H 0 0 1.2144411 1.70197 40.1% - 0s
0 0 1.48114 0 19 1.21444 1.48114 22.0% - 0s
0 0 1.47538 0 12 1.21444 1.47538 21.5% - 0s
0 0 1.47538 0 12 1.21444 1.47538 21.5% - 0s
H 0 0 1.2861660 1.47538 14.7% - 0s
H 0 0 1.2874426 1.47538 14.6% - 0s
0 2 1.47538 0 12 1.28744 1.47538 14.6% - 0s
H 7 4 1.2951020 1.45395 12.3% 5.3 0s
Cutting planes:
Gomory: 7
Implied bound: 3
Flow cover: 7
Explored 38 nodes (410 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.2951 1.28744 1.28617 ... 1.07474
Optimal solution found (tolerance 1.00e-02)
Best objective 1.295102028328e+00, best bound 1.295102028328e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc9uroq6v.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpacyrwz73.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07442
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.734712e+00, 178 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73471 0 14 1.07442 1.73471 61.5% - 0s
H 0 0 1.2952839 1.73471 33.9% - 0s
0 0 1.52213 0 17 1.29528 1.52213 17.5% - 0s
0 0 1.50459 0 9 1.29528 1.50459 16.2% - 0s
0 0 1.50459 0 9 1.29528 1.50459 16.2% - 0s
0 2 1.50459 0 9 1.29528 1.50459 16.2% - 0s
H 30 7 1.2952839 1.48791 14.9% 4.7 0s
Cutting planes:
Gomory: 7
Flow cover: 11
Inf proof: 1
Explored 85 nodes (613 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.29528 1.29528 1.07442
Optimal solution found (tolerance 1.00e-02)
Best objective 1.295283924116e+00, best bound 1.295283924116e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsw35zk1m.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp67333xeu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.1089
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.789000e+00, 183 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78900 0 16 1.10890 1.78900 61.3% - 0s
0 0 1.58941 0 23 1.10890 1.58941 43.3% - 0s
H 0 0 1.2655679 1.58941 25.6% - 0s
H 0 0 1.2692988 1.58941 25.2% - 0s
0 0 1.57362 0 15 1.26930 1.57362 24.0% - 0s
0 0 1.57340 0 16 1.26930 1.57340 24.0% - 0s
0 0 1.57292 0 18 1.26930 1.57292 23.9% - 0s
0 0 1.57278 0 19 1.26930 1.57278 23.9% - 0s
0 0 1.57184 0 19 1.26930 1.57184 23.8% - 0s
0 0 1.57064 0 19 1.26930 1.57064 23.7% - 0s
0 0 1.57064 0 19 1.26930 1.57064 23.7% - 0s
0 0 1.56717 0 19 1.26930 1.56717 23.5% - 0s
0 0 1.56717 0 19 1.26930 1.56717 23.5% - 0s
0 0 1.56510 0 19 1.26930 1.56510 23.3% - 0s
0 0 1.56509 0 19 1.26930 1.56509 23.3% - 0s
0 0 1.56227 0 20 1.26930 1.56227 23.1% - 0s
0 0 1.56227 0 20 1.26930 1.56227 23.1% - 0s
0 1 1.56227 0 20 1.26930 1.56227 23.1% - 0s
H 74 30 1.3343729 1.52581 14.3% 7.3 0s
Cutting planes:
Gomory: 6
Cover: 3
Implied bound: 8
MIR: 1
Flow cover: 18
Explored 203 nodes (1754 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.33437 1.2693 1.26557 1.1089
Optimal solution found (tolerance 1.00e-02)
Best objective 1.334372927465e+00, best bound 1.334372927465e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjbrzpzv2.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8nsu0b2w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20167
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.701269e+00, 214 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.70127 0 19 1.20167 1.70127 41.6% - 0s
0 0 1.47614 0 19 1.20167 1.47614 22.8% - 0s
0 0 1.46875 0 30 1.20167 1.46875 22.2% - 0s
0 0 1.46854 0 31 1.20167 1.46854 22.2% - 0s
0 0 1.46854 0 32 1.20167 1.46854 22.2% - 0s
0 0 1.46610 0 35 1.20167 1.46610 22.0% - 0s
0 0 1.46597 0 36 1.20167 1.46597 22.0% - 0s
0 0 1.46584 0 33 1.20167 1.46584 22.0% - 0s
0 0 1.46584 0 30 1.20167 1.46584 22.0% - 0s
H 0 0 1.2362644 1.46584 18.6% - 0s
0 2 1.45898 0 23 1.23626 1.45898 18.0% - 0s
Cutting planes:
Gomory: 9
Cover: 2
Implied bound: 11
MIR: 3
Flow cover: 23
Inf proof: 9
Explored 438 nodes (3662 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.23626 1.20167
Optimal solution found (tolerance 1.00e-02)
Best objective 1.236264355873e+00, best bound 1.236264355873e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaoywohd1.pyomo.lp
Reading time = 0.01 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp861cbss4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09691
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.737616e+00, 241 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73762 0 20 1.09691 1.73762 58.4% - 0s
0 0 1.52599 0 26 1.09691 1.52599 39.1% - 0s
0 0 1.52587 0 28 1.09691 1.52587 39.1% - 0s
0 0 1.52568 0 29 1.09691 1.52568 39.1% - 0s
0 0 1.52555 0 32 1.09691 1.52555 39.1% - 0s
0 0 1.52555 0 28 1.09691 1.52555 39.1% - 0s
0 2 1.52555 0 28 1.09691 1.52555 39.1% - 0s
* 155 95 34 1.1766837 1.48781 26.4% 8.4 0s
* 638 173 27 1.2357693 1.39751 13.1% 7.3 0s
* 745 161 30 1.2678331 1.39516 10.0% 7.2 0s
* 942 137 27 1.2731385 1.39106 9.26% 7.0 0s
Cutting planes:
Gomory: 10
Cover: 12
Implied bound: 18
MIR: 2
Flow cover: 20
Inf proof: 29
Explored 1444 nodes (10823 simplex iterations) in 0.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.27314 1.26783 1.23577 ... 1.09691
Optimal solution found (tolerance 1.00e-02)
Best objective 1.273138464071e+00, best bound 1.277200730140e+00, gap 0.3191%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6cpgbcea.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph6r4rpq7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12607
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.753918e+00, 255 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75392 0 23 1.12607 1.75392 55.8% - 0s
0 0 1.53431 0 23 1.12607 1.53431 36.3% - 0s
0 0 1.53369 0 25 1.12607 1.53369 36.2% - 0s
0 0 1.53323 0 26 1.12607 1.53323 36.2% - 0s
0 0 1.53316 0 30 1.12607 1.53316 36.2% - 0s
0 0 1.53223 0 32 1.12607 1.53223 36.1% - 0s
0 0 1.53205 0 33 1.12607 1.53205 36.1% - 0s
0 0 1.53205 0 32 1.12607 1.53205 36.1% - 0s
0 0 1.53205 0 30 1.12607 1.53205 36.1% - 0s
0 1 1.53205 0 30 1.12607 1.53205 36.1% - 0s
* 1051 381 41 1.1467693 1.43599 25.2% 8.1 0s
* 1166 351 33 1.2466856 1.43133 14.8% 8.2 0s
* 2221 361 29 1.2488827 1.37827 10.4% 8.1 1s
Cutting planes:
Gomory: 11
Cover: 44
Implied bound: 41
MIR: 3
Flow cover: 31
Inf proof: 65
Explored 3625 nodes (29460 simplex iterations) in 1.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.24888 1.24669 1.14677 1.12607
Optimal solution found (tolerance 1.00e-02)
Best objective 1.248882656285e+00, best bound 1.248882656285e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc4xngt63.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq5txkisi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12746
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.754032e+00, 294 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.75403 0 26 1.12746 1.75403 55.6% - 0s
0 0 1.52340 0 22 1.12746 1.52340 35.1% - 0s
0 0 1.52058 0 26 1.12746 1.52058 34.9% - 0s
0 0 1.52054 0 27 1.12746 1.52054 34.9% - 0s
0 0 1.51969 0 29 1.12746 1.51969 34.8% - 0s
0 0 1.51969 0 29 1.12746 1.51969 34.8% - 0s
0 2 1.51969 0 29 1.12746 1.51969 34.8% - 0s
* 474 221 34 1.2232209 1.49119 21.9% 8.0 0s
* 1249 362 31 1.2302823 1.43787 16.9% 8.9 0s
* 1636 332 28 1.2325901 1.37635 11.7% 9.4 0s
* 2190 162 33 1.2361560 1.30221 5.34% 9.3 1s
* 2350 40 30 1.2402316 1.26513 2.01% 9.1 1s
* 2379 0 32 1.2556075 1.25639 0.06% 9.1 1s
Cutting planes:
Gomory: 16
Cover: 9
Implied bound: 26
MIR: 3
Flow cover: 27
Inf proof: 43
Explored 2430 nodes (22335 simplex iterations) in 1.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.25561 1.24023 1.23616 ... 1.12746
Optimal solution found (tolerance 1.00e-02)
Best objective 1.255607541099e+00, best bound 1.255607541099e+00, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfj3ekdab.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd5n3et8n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12987
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.740970e+00, 338 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.74097 0 29 1.12987 1.74097 54.1% - 0s
0 0 1.51648 0 24 1.12987 1.51648 34.2% - 0s
0 0 1.51344 0 27 1.12987 1.51344 33.9% - 0s
0 0 1.51343 0 28 1.12987 1.51343 33.9% - 0s
0 0 1.51257 0 30 1.12987 1.51257 33.9% - 0s
0 0 1.51257 0 29 1.12987 1.51257 33.9% - 0s
0 2 1.51257 0 29 1.12987 1.51257 33.9% - 0s
* 357 161 40 1.1977661 1.40399 17.2% 7.8 0s
* 2403 315 33 1.2003861 1.29574 7.94% 8.7 1s
* 2524 246 39 1.2160546 1.28385 5.57% 8.7 1s
* 2525 243 39 1.2181927 1.28385 5.39% 8.7 1s
* 2791 35 39 1.2185850 1.24073 1.82% 8.9 1s
* 2803 0 37 1.2339333 1.24073 0.55% 8.9 1s
Cutting planes:
Gomory: 13
Cover: 16
Implied bound: 33
MIR: 1
Flow cover: 31
Inf proof: 48
Explored 2856 nodes (25808 simplex iterations) in 1.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.23393 1.21859 1.21819 ... 1.12987
Optimal solution found (tolerance 1.00e-02)
Best objective 1.233933290432e+00, best bound 1.233933290432e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpynugs0sd.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk92dwolf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12315
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.730353e+00, 359 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73035 0 31 1.12315 1.73035 54.1% - 0s
0 0 1.50953 0 26 1.12315 1.50953 34.4% - 0s
0 0 1.50953 0 26 1.12315 1.50953 34.4% - 0s
0 0 1.50688 0 29 1.12315 1.50688 34.2% - 0s
0 0 1.50687 0 30 1.12315 1.50687 34.2% - 0s
0 0 1.50458 0 35 1.12315 1.50458 34.0% - 0s
0 0 1.50444 0 36 1.12315 1.50444 33.9% - 0s
0 0 1.50444 0 36 1.12315 1.50444 33.9% - 0s
0 0 1.50434 0 37 1.12315 1.50434 33.9% - 0s
0 0 1.50434 0 37 1.12315 1.50434 33.9% - 0s
0 0 1.50434 0 33 1.12315 1.50434 33.9% - 0s
0 2 1.50434 0 33 1.12315 1.50434 33.9% - 0s
* 1037 362 44 1.1547423 1.37695 19.2% 7.7 0s
* 2045 355 41 1.2082397 1.24805 3.30% 9.2 2s
* 2124 263 41 1.2230544 1.24805 2.04% 9.1 2s
Cutting planes:
Gomory: 37
Cover: 6
Implied bound: 6
Projected implied bound: 21
MIR: 4
Flow cover: 31
Inf proof: 8
Explored 2211 nodes (20302 simplex iterations) in 2.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.22305 1.20824 1.15474 1.12315
Optimal solution found (tolerance 1.00e-02)
Best objective 1.223054384671e+00, best bound 1.223054384671e+00, gap 0.0000%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps92m5q55.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3ht_li7m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11755
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.711046e+00, 366 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.71105 0 36 1.11755 1.71105 53.1% - 0s
0 0 1.47775 0 34 1.11755 1.47775 32.2% - 0s
0 0 1.47542 0 38 1.11755 1.47542 32.0% - 0s
0 0 1.47542 0 38 1.11755 1.47542 32.0% - 0s
0 0 1.47276 0 41 1.11755 1.47276 31.8% - 0s
0 0 1.47261 0 42 1.11755 1.47261 31.8% - 0s
0 0 1.47148 0 44 1.11755 1.47148 31.7% - 0s
0 0 1.47148 0 42 1.11755 1.47148 31.7% - 0s
0 2 1.47148 0 42 1.11755 1.47148 31.7% - 0s
H 1560 577 1.1998125 1.33698 11.4% 9.9 1s
Cutting planes:
Gomory: 40
Cover: 5
Implied bound: 8
Projected implied bound: 29
MIR: 4
Flow cover: 15
Inf proof: 2
Explored 1839 nodes (18888 simplex iterations) in 2.32 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.19981 1.11755
Optimal solution found (tolerance 1.00e-02)
Best objective 1.199812498340e+00, best bound 1.206808262284e+00, gap 0.5831%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnh3n8lsr.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6hvmwbit.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09854
Presolve removed 326 rows and 213 columns
Presolve time: 0.02s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.683231e+00, 378 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68323 0 38 1.09854 1.68323 53.2% - 0s
0 0 1.44922 0 34 1.09854 1.44922 31.9% - 0s
0 0 1.44695 0 36 1.09854 1.44695 31.7% - 0s
0 0 1.44695 0 37 1.09854 1.44695 31.7% - 0s
0 0 1.44512 0 41 1.09854 1.44512 31.5% - 0s
0 0 1.44496 0 43 1.09854 1.44496 31.5% - 0s
0 0 1.44485 0 43 1.09854 1.44485 31.5% - 0s
0 0 1.44445 0 41 1.09854 1.44445 31.5% - 0s
0 0 1.44445 0 41 1.09854 1.44445 31.5% - 0s
0 2 1.44445 0 41 1.09854 1.44445 31.5% - 0s
* 2287 438 61 1.1691386 1.25323 7.19% 10.6 2s
H 2495 337 1.1691386 1.23784 5.88% 10.7 3s
Cutting planes:
Gomory: 38
Cover: 10
Implied bound: 13
Projected implied bound: 26
MIR: 5
Flow cover: 17
Inf proof: 13
Explored 2781 nodes (29318 simplex iterations) in 3.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16914 1.16914 1.09854
Optimal solution found (tolerance 1.00e-02)
Best objective 1.169138614188e+00, best bound 1.176868878445e+00, gap 0.6612%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5ofsface.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl99do2dq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07594
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.661833e+00, 423 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66183 0 41 1.07594 1.66183 54.5% - 0s
0 0 1.43134 0 45 1.07594 1.43134 33.0% - 0s
0 0 1.43134 0 44 1.07594 1.43134 33.0% - 0s
0 0 1.42746 0 52 1.07594 1.42746 32.7% - 0s
0 0 1.42381 0 43 1.07594 1.42381 32.3% - 0s
0 0 1.42356 0 46 1.07594 1.42356 32.3% - 0s
0 0 1.42348 0 47 1.07594 1.42348 32.3% - 0s
0 0 1.42319 0 50 1.07594 1.42319 32.3% - 0s
0 0 1.42319 0 50 1.07594 1.42319 32.3% - 0s
0 0 1.42291 0 50 1.07594 1.42291 32.2% - 0s
0 0 1.42291 0 46 1.07594 1.42291 32.2% - 0s
0 2 1.42291 0 46 1.07594 1.42291 32.2% - 0s
* 1381 410 53 1.1386836 1.28132 12.5% 8.2 1s
* 2062 279 57 1.1464286 1.23298 7.55% 10.8 3s
Cutting planes:
Gomory: 37
Cover: 5
Implied bound: 15
Projected implied bound: 34
MIR: 4
Flow cover: 23
Inf proof: 10
Explored 2374 nodes (26231 simplex iterations) in 3.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.14643 1.13868 1.07594
Optimal solution found (tolerance 1.00e-02)
Best objective 1.146428573124e+00, best bound 1.146428573124e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplp5hi73j.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnih3bdwy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08157
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.579813e+00, 439 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.57981 0 42 1.08157 1.57981 46.1% - 0s
0 0 1.34599 0 46 1.08157 1.34599 24.4% - 0s
0 0 1.34494 0 53 1.08157 1.34494 24.4% - 0s
0 0 1.34494 0 50 1.08157 1.34494 24.4% - 0s
0 2 1.34494 0 50 1.08157 1.34494 24.4% - 0s
Cutting planes:
Gomory: 22
Cover: 19
Implied bound: 41
MIR: 4
Flow cover: 41
Inf proof: 48
Explored 2867 nodes (25861 simplex iterations) in 2.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.08157
Optimal solution found (tolerance 1.00e-02)
Best objective 1.081573662721e+00, best bound 1.091186403544e+00, gap 0.8888%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm2y470pm.pyomo.lp
Reading time = 0.00 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4j25w_ow.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0541
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.519545e+00, 470 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51955 0 43 1.05410 1.51955 44.2% - 0s
0 0 1.30350 0 49 1.05410 1.30350 23.7% - 0s
0 0 1.29792 0 47 1.05410 1.29792 23.1% - 0s
0 0 1.29598 0 54 1.05410 1.29598 22.9% - 0s
0 0 1.29370 0 47 1.05410 1.29370 22.7% - 0s
0 0 1.29370 0 47 1.05410 1.29370 22.7% - 0s
0 0 1.29319 0 47 1.05410 1.29319 22.7% - 0s
0 0 1.29195 0 43 1.05410 1.29195 22.6% - 0s
0 0 1.29195 0 43 1.05410 1.29195 22.6% - 0s
0 0 1.29195 0 43 1.05410 1.29195 22.6% - 0s
0 0 1.29195 0 37 1.05410 1.29195 22.6% - 0s
0 2 1.29195 0 37 1.05410 1.29195 22.6% - 0s
H 3694 510 1.0540979 1.10962 5.27% 13.7 3s
Cutting planes:
Gomory: 22
Cover: 20
Implied bound: 37
MIR: 3
Flow cover: 45
Inf proof: 50
Explored 4535 nodes (63985 simplex iterations) in 4.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0541 1.0541
Optimal solution found (tolerance 1.00e-02)
Best objective 1.054097879457e+00, best bound 1.056511061138e+00, gap 0.2289%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpors0h00i.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb8n375n4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0307
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.465223e+00, 520 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46522 0 44 1.03070 1.46522 42.2% - 0s
0 0 1.27451 0 53 1.03070 1.27451 23.7% - 0s
0 0 1.27144 0 60 1.03070 1.27144 23.4% - 0s
0 0 1.26833 0 54 1.03070 1.26833 23.1% - 0s
0 0 1.26833 0 54 1.03070 1.26833 23.1% - 0s
0 0 1.26655 0 53 1.03070 1.26655 22.9% - 0s
0 0 1.26654 0 55 1.03070 1.26654 22.9% - 0s
0 0 1.26653 0 57 1.03070 1.26653 22.9% - 0s
0 0 1.26653 0 49 1.03070 1.26653 22.9% - 0s
0 2 1.26653 0 49 1.03070 1.26653 22.9% - 0s
H 2168 602 1.0306996 1.12744 9.39% 13.6 2s
H 2181 580 1.0306996 1.12744 9.39% 13.5 3s
Cutting planes:
Gomory: 47
Cover: 7
Implied bound: 7
Projected implied bound: 27
MIR: 5
Flow cover: 39
Inf proof: 11
Explored 2775 nodes (40459 simplex iterations) in 4.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.0307 1.0307 1.0307
Optimal solution found (tolerance 1.00e-02)
Best objective 1.030699594195e+00, best bound 1.034059837651e+00, gap 0.3260%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo547fn8m.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk9xrq555.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00068
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.402606e+00, 559 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40261 0 43 1.00068 1.40261 40.2% - 0s
0 0 1.23391 0 50 1.00068 1.23391 23.3% - 0s
0 0 1.22924 0 62 1.00068 1.22924 22.8% - 0s
0 0 1.21764 0 60 1.00068 1.21764 21.7% - 0s
0 0 1.21764 0 60 1.00068 1.21764 21.7% - 0s
0 0 1.21512 0 60 1.00068 1.21512 21.4% - 0s
0 0 1.21397 0 63 1.00068 1.21397 21.3% - 0s
0 0 1.21397 0 59 1.00068 1.21397 21.3% - 0s
0 2 1.21397 0 59 1.00068 1.21397 21.3% - 0s
Cutting planes:
Gomory: 28
Cover: 4
Implied bound: 24
MIR: 3
Flow cover: 40
Inf proof: 19
Explored 1569 nodes (18680 simplex iterations) in 1.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00068
Optimal solution found (tolerance 1.00e-02)
Best objective 1.000681942391e+00, best bound 1.010607226919e+00, gap 0.9919%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0xx3t7mg.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplbu9hcmg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.971602
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.376429e+00, 595 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.37643 0 44 0.97160 1.37643 41.7% - 0s
0 0 1.22217 0 61 0.97160 1.22217 25.8% - 0s
0 0 1.21826 0 67 0.97160 1.21826 25.4% - 0s
0 0 1.21282 0 62 0.97160 1.21282 24.8% - 0s
0 0 1.21282 0 63 0.97160 1.21282 24.8% - 0s
0 0 1.20921 0 66 0.97160 1.20921 24.5% - 0s
0 0 1.20909 0 62 0.97160 1.20909 24.4% - 0s
0 0 1.20803 0 74 0.97160 1.20803 24.3% - 0s
0 0 1.20803 0 62 0.97160 1.20803 24.3% - 0s
0 2 1.20803 0 62 0.97160 1.20803 24.3% - 0s
4415 507 0.98295 49 72 0.97160 1.00276 3.21% 12.0 5s
Cutting planes:
Gomory: 48
Cover: 14
Implied bound: 11
Projected implied bound: 23
Clique: 1
MIR: 6
Flow cover: 48
Inf proof: 42
Explored 7400 nodes (84918 simplex iterations) in 9.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.971602
Optimal solution found (tolerance 1.00e-02)
Best objective 9.716019483995e-01, best bound 9.758491690767e-01, gap 0.4371%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplj9tq7e5.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6_rh8_oe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.971421
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.357393e+00, 580 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35739 0 49 0.97142 1.35739 39.7% - 0s
0 0 1.21096 0 57 0.97142 1.21096 24.7% - 0s
0 0 1.20630 0 68 0.97142 1.20630 24.2% - 0s
0 0 1.20433 0 76 0.97142 1.20433 24.0% - 0s
0 0 1.20432 0 79 0.97142 1.20432 24.0% - 0s
0 0 1.20211 0 75 0.97142 1.20211 23.7% - 0s
0 0 1.20104 0 78 0.97142 1.20104 23.6% - 0s
0 0 1.20103 0 78 0.97142 1.20103 23.6% - 0s
0 0 1.19528 0 76 0.97142 1.19528 23.0% - 0s
0 0 1.19528 0 76 0.97142 1.19528 23.0% - 0s
0 0 1.19491 0 81 0.97142 1.19491 23.0% - 0s
0 0 1.19491 0 66 0.97142 1.19491 23.0% - 0s
H 0 0 0.9714207 1.19491 23.0% - 0s
0 2 1.19491 0 66 0.97142 1.19491 23.0% - 0s
3051 627 0.98954 47 42 0.97142 1.00795 3.76% 11.8 5s
Cutting planes:
Gomory: 61
Cover: 9
Implied bound: 8
Projected implied bound: 17
MIR: 7
Flow cover: 33
GUB cover: 1
Inf proof: 18
Explored 4101 nodes (46326 simplex iterations) in 6.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.971421 0.971421
Optimal solution found (tolerance 1.00e-02)
Best objective 9.714206936239e-01, best bound 9.786862331396e-01, gap 0.7479%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdkey2hdi.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph9_caamd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.964428
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.336707e+00, 598 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33671 0 54 0.96443 1.33671 38.6% - 0s
0 0 1.20226 0 63 0.96443 1.20226 24.7% - 0s
0 0 1.20226 0 63 0.96443 1.20226 24.7% - 0s
0 0 1.19777 0 63 0.96443 1.19777 24.2% - 0s
0 0 1.19593 0 66 0.96443 1.19593 24.0% - 0s
0 0 1.19038 0 67 0.96443 1.19038 23.4% - 0s
0 0 1.19038 0 67 0.96443 1.19038 23.4% - 0s
0 0 1.18668 0 70 0.96443 1.18668 23.0% - 0s
0 0 1.18660 0 69 0.96443 1.18660 23.0% - 0s
0 0 1.18643 0 70 0.96443 1.18643 23.0% - 0s
0 0 1.18643 0 64 0.96443 1.18643 23.0% - 0s
0 2 1.18643 0 64 0.96443 1.18643 23.0% - 0s
H 367 213 0.9644281 1.10001 14.1% 11.9 0s
1904 303 infeasible 46 0.96443 0.99603 3.28% 16.1 5s
Cutting planes:
Gomory: 69
Cover: 5
Implied bound: 16
Projected implied bound: 18
Clique: 1
MIR: 13
Flow cover: 42
Inf proof: 13
Explored 2829 nodes (44555 simplex iterations) in 6.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.964428 0.964428
Optimal solution found (tolerance 1.00e-02)
Best objective 9.644281048880e-01, best bound 9.711189015484e-01, gap 0.6938%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3270vu7e.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe6vzh8hv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.959213
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.326528e+00, 602 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32653 0 58 0.95921 1.32653 38.3% - 0s
0 0 1.18654 0 64 0.95921 1.18654 23.7% - 0s
0 0 1.17728 0 61 0.95921 1.17728 22.7% - 0s
0 0 1.17694 0 58 0.95921 1.17694 22.7% - 0s
0 0 1.17591 0 68 0.95921 1.17591 22.6% - 0s
0 0 1.17584 0 69 0.95921 1.17584 22.6% - 0s
0 0 1.17507 0 68 0.95921 1.17507 22.5% - 0s
0 0 1.17507 0 65 0.95921 1.17507 22.5% - 0s
0 2 1.17507 0 64 0.95921 1.17507 22.5% - 0s
2295 658 cutoff 29 0.95921 1.00213 4.47% 14.9 5s
5343 172 cutoff 47 0.95921 0.97290 1.43% 14.5 10s
Cutting planes:
Learned: 1
Gomory: 64
Cover: 5
Implied bound: 17
Projected implied bound: 25
MIR: 12
Flow cover: 38
Inf proof: 33
Explored 5891 nodes (82623 simplex iterations) in 10.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.959213
Optimal solution found (tolerance 1.00e-02)
Best objective 9.592129650260e-01, best bound 9.666825925383e-01, gap 0.7787%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9670l4u3.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy43zlv_s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.94056
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.321522e+00, 655 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32152 0 60 0.94056 1.32152 40.5% - 0s
0 0 1.18321 0 70 0.94056 1.18321 25.8% - 0s
0 0 1.18321 0 70 0.94056 1.18321 25.8% - 0s
0 0 1.17365 0 70 0.94056 1.17365 24.8% - 0s
0 0 1.17225 0 68 0.94056 1.17225 24.6% - 0s
0 0 1.17085 0 75 0.94056 1.17085 24.5% - 0s
0 0 1.16859 0 76 0.94056 1.16859 24.2% - 0s
0 0 1.16858 0 76 0.94056 1.16858 24.2% - 0s
0 0 1.16849 0 75 0.94056 1.16849 24.2% - 0s
0 0 1.16849 0 62 0.94056 1.16849 24.2% - 0s
0 2 1.16849 0 62 0.94056 1.16849 24.2% - 0s
1788 320 0.96408 42 49 0.94056 1.00534 6.89% 19.2 5s
5047 806 0.96051 45 56 0.94056 0.96961 3.09% 17.9 10s
9187 754 cutoff 66 0.94056 0.95090 1.10% 15.1 15s
H 9343 790 0.9405600 0.94947 0.95% 15.0 15s
Cutting planes:
Learned: 1
Gomory: 70
Cover: 6
Implied bound: 18
Projected implied bound: 21
MIR: 5
Flow cover: 43
Inf proof: 68
Explored 9445 nodes (142279 simplex iterations) in 15.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.94056 0.94056
Optimal solution found (tolerance 1.00e-02)
Best objective 9.405599652299e-01, best bound 9.494206834147e-01, gap 0.9421%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp60qqz6mf.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7hpnb6hz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.945995
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.313939e+00, 709 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31394 0 61 0.94599 1.31394 38.9% - 0s
0 0 1.17624 0 75 0.94599 1.17624 24.3% - 0s
0 0 1.17624 0 75 0.94599 1.17624 24.3% - 0s
0 0 1.16827 0 74 0.94599 1.16827 23.5% - 0s
0 0 1.16726 0 91 0.94599 1.16726 23.4% - 0s
0 0 1.16646 0 88 0.94599 1.16646 23.3% - 0s
0 0 1.16592 0 89 0.94599 1.16592 23.2% - 0s
0 0 1.16506 0 97 0.94599 1.16506 23.2% - 0s
0 0 1.16501 0 89 0.94599 1.16501 23.2% - 0s
0 0 1.16392 0 87 0.94599 1.16392 23.0% - 0s
0 0 1.16391 0 88 0.94599 1.16391 23.0% - 0s
0 0 1.16384 0 89 0.94599 1.16384 23.0% - 0s
0 0 1.16384 0 72 0.94599 1.16384 23.0% - 0s
0 2 1.16384 0 72 0.94599 1.16384 23.0% - 0s
1589 370 0.95515 36 72 0.94599 1.01362 7.15% 19.3 5s
4645 158 cutoff 54 0.94599 0.95850 1.32% 17.0 10s
Cutting planes:
Gomory: 61
Cover: 2
Implied bound: 7
Projected implied bound: 18
MIR: 9
Flow cover: 51
Inf proof: 32
Explored 5058 nodes (83553 simplex iterations) in 10.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.945995
Optimal solution found (tolerance 1.00e-02)
Best objective 9.459945257805e-01, best bound 9.526486046197e-01, gap 0.7034%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw7y6uvg8.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd2kp7ad4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.934541
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.282521e+00, 736 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28252 0 69 0.93454 1.28252 37.2% - 0s
0 0 1.14287 0 71 0.93454 1.14287 22.3% - 0s
0 0 1.14285 0 71 0.93454 1.14285 22.3% - 0s
0 0 1.13830 0 79 0.93454 1.13830 21.8% - 0s
0 0 1.13801 0 80 0.93454 1.13801 21.8% - 0s
0 0 1.13730 0 75 0.93454 1.13730 21.7% - 0s
0 0 1.13652 0 79 0.93454 1.13652 21.6% - 0s
0 0 1.13652 0 67 0.93454 1.13652 21.6% - 0s
0 2 1.13652 0 67 0.93454 1.13652 21.6% - 0s
1330 438 0.97598 28 75 0.93454 0.99493 6.46% 21.9 5s
4283 675 infeasible 51 0.93454 0.95823 2.53% 15.9 10s
Cutting planes:
Gomory: 59
Cover: 4
Implied bound: 7
Projected implied bound: 34
Clique: 1
MIR: 5
Flow cover: 43
Inf proof: 34
Explored 5407 nodes (83973 simplex iterations) in 11.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.934541
Optimal solution found (tolerance 1.00e-02)
Best objective 9.345409204126e-01, best bound 9.434813699944e-01, gap 0.9567%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2rsc_79r.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpefgvy1d9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.911999
Presolve removed 508 rows and 330 columns
Presolve time: 0.01s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.250358e+00, 693 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25036 0 72 0.91200 1.25036 37.1% - 0s
0 0 1.11781 0 81 0.91200 1.11781 22.6% - 0s
0 0 1.11781 0 81 0.91200 1.11781 22.6% - 0s
0 0 1.11202 0 88 0.91200 1.11202 21.9% - 0s
0 0 1.11001 0 78 0.91200 1.11001 21.7% - 0s
0 0 1.10968 0 80 0.91200 1.10968 21.7% - 0s
0 0 1.10968 0 80 0.91200 1.10968 21.7% - 0s
0 0 1.10968 0 80 0.91200 1.10968 21.7% - 0s
0 0 1.10968 0 63 0.91200 1.10968 21.7% - 0s
0 2 1.10968 0 63 0.91200 1.10968 21.7% - 0s
1383 458 0.92246 42 72 0.91200 0.96391 5.69% 19.0 5s
Cutting planes:
Gomory: 54
Cover: 1
Implied bound: 15
Projected implied bound: 28
MIR: 5
Flow cover: 39
GUB cover: 1
Inf proof: 20
Explored 4624 nodes (71810 simplex iterations) in 9.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.911999
Optimal solution found (tolerance 1.00e-02)
Best objective 9.119992460153e-01, best bound 9.178930020313e-01, gap 0.6462%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2de1oxl2.pyomo.lp
Reading time = 0.00 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq3np2e72.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.900418
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.229221e+00, 720 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22922 0 71 0.90042 1.22922 36.5% - 0s
0 0 1.09422 0 79 0.90042 1.09422 21.5% - 0s
0 0 1.09420 0 79 0.90042 1.09420 21.5% - 0s
0 0 1.09198 0 88 0.90042 1.09198 21.3% - 0s
0 0 1.09188 0 86 0.90042 1.09188 21.3% - 0s
0 0 1.09156 0 86 0.90042 1.09156 21.2% - 0s
0 0 1.09156 0 76 0.90042 1.09156 21.2% - 0s
0 2 1.09156 0 76 0.90042 1.09156 21.2% - 0s
1393 553 cutoff 34 0.90042 0.96283 6.93% 19.9 5s
4012 747 0.92515 44 70 0.90042 0.93506 3.85% 21.0 10s
7224 621 infeasible 69 0.90042 0.91585 1.71% 19.4 15s
Cutting planes:
Gomory: 60
Cover: 2
Implied bound: 13
Projected implied bound: 33
MIR: 8
Flow cover: 46
Inf proof: 38
Explored 8199 nodes (155169 simplex iterations) in 16.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.900418
Optimal solution found (tolerance 1.00e-02)
Best objective 9.004179498404e-01, best bound 9.073601798639e-01, gap 0.7710%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnzjlg70k.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptexbvole.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.885148
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.197537e+00, 781 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19754 0 73 0.88515 1.19754 35.3% - 0s
0 0 1.07937 0 78 0.88515 1.07937 21.9% - 0s
0 0 1.07937 0 78 0.88515 1.07937 21.9% - 0s
0 0 1.07261 0 89 0.88515 1.07261 21.2% - 0s
0 0 1.07121 0 82 0.88515 1.07121 21.0% - 0s
0 0 1.07101 0 83 0.88515 1.07101 21.0% - 0s
0 0 1.07099 0 83 0.88515 1.07099 21.0% - 0s
0 0 1.07061 0 84 0.88515 1.07061 21.0% - 0s
0 0 1.07061 0 71 0.88515 1.07061 21.0% - 0s
0 2 1.07061 0 71 0.88515 1.07061 21.0% - 0s
1054 453 0.89003 47 68 0.88515 0.96746 9.30% 24.3 5s
2876 580 0.89687 60 60 0.88515 0.92314 4.29% 26.1 10s
5308 467 0.90349 49 59 0.88515 0.90349 2.07% 24.2 15s
Cutting planes:
Gomory: 67
Cover: 4
Implied bound: 14
Projected implied bound: 32
Clique: 1
MIR: 9
Flow cover: 55
Inf proof: 38
Explored 6627 nodes (152288 simplex iterations) in 17.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.885148
Optimal solution found (tolerance 1.00e-02)
Best objective 8.851477540338e-01, best bound 8.924036549519e-01, gap 0.8197%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpm5dxwor7.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpplm8py58.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864136
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.166937e+00, 749 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16694 0 74 0.86414 1.16694 35.0% - 0s
0 0 1.06279 0 85 0.86414 1.06279 23.0% - 0s
0 0 1.06279 0 85 0.86414 1.06279 23.0% - 0s
0 0 1.05865 0 96 0.86414 1.05865 22.5% - 0s
0 0 1.05618 0 98 0.86414 1.05618 22.2% - 0s
0 0 1.05596 0 95 0.86414 1.05596 22.2% - 0s
0 0 1.05529 0 94 0.86414 1.05529 22.1% - 0s
0 0 1.05490 0 96 0.86414 1.05490 22.1% - 0s
0 0 1.05487 0 99 0.86414 1.05487 22.1% - 0s
0 0 1.05480 0 97 0.86414 1.05480 22.1% - 0s
0 0 1.05480 0 83 0.86414 1.05480 22.1% - 0s
0 2 1.05480 0 83 0.86414 1.05480 22.1% - 0s
H 117 86 0.8641356 1.01731 17.7% 25.8 0s
872 441 cutoff 21 0.86414 0.96393 11.5% 24.4 5s
2959 584 0.88496 32 75 0.86414 0.90504 4.73% 23.1 10s
5514 588 cutoff 62 0.86414 0.88612 2.54% 21.7 15s
* 5968 581 105 0.8644950 0.88237 2.07% 21.3 15s
Cutting planes:
Gomory: 67
Cover: 5
Implied bound: 13
Projected implied bound: 41
Clique: 1
MIR: 11
Flow cover: 37
Inf proof: 50
Explored 7085 nodes (146106 simplex iterations) in 17.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.864495 0.864136 0.864136
Optimal solution found (tolerance 1.00e-02)
Best objective 8.644949817468e-01, best bound 8.720555223005e-01, gap 0.8746%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3ww7u6p3.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb4o53jaa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.850266
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.153852e+00, 835 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15385 0 78 0.85027 1.15385 35.7% - 0s
0 0 1.04679 0 92 0.85027 1.04679 23.1% - 0s
0 0 1.04677 0 92 0.85027 1.04677 23.1% - 0s
0 0 1.04473 0 99 0.85027 1.04473 22.9% - 0s
0 0 1.04449 0 99 0.85027 1.04449 22.8% - 0s
0 0 1.04411 0 94 0.85027 1.04411 22.8% - 0s
0 0 1.04411 0 84 0.85027 1.04411 22.8% - 0s
0 2 1.04411 0 84 0.85027 1.04411 22.8% - 0s
780 440 0.96861 20 107 0.85027 0.97231 14.4% 23.7 5s
2148 453 0.88889 37 81 0.85027 0.92640 8.95% 28.3 10s
4182 1101 0.90626 43 67 0.85027 0.90904 6.91% 25.6 15s
5977 1425 0.87829 45 79 0.85027 0.89903 5.73% 25.2 20s
H 7083 1258 0.8644105 0.89579 3.63% 24.4 23s
7894 1223 0.89057 48 66 0.86441 0.89300 3.31% 23.8 25s
10456 909 cutoff 36 0.86441 0.87972 1.77% 22.9 30s
Cutting planes:
Gomory: 73
Cover: 7
Implied bound: 32
Projected implied bound: 47
Clique: 1
MIR: 12
Flow cover: 67
Inf proof: 69
Explored 11574 nodes (260772 simplex iterations) in 31.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.864411 0.850266
Optimal solution found (tolerance 1.00e-02)
Best objective 8.644105340508e-01, best bound 8.728740462876e-01, gap 0.9791%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpx9h4v8nt.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxp94vf1z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.858291
Presolve removed 578 rows and 375 columns
Presolve time: 0.04s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.141808e+00, 822 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14181 0 81 0.85829 1.14181 33.0% - 0s
0 0 1.03616 0 100 0.85829 1.03616 20.7% - 0s
0 0 1.03615 0 100 0.85829 1.03615 20.7% - 0s
0 0 1.03397 0 110 0.85829 1.03397 20.5% - 0s
0 0 1.03349 0 108 0.85829 1.03349 20.4% - 0s
0 0 1.03209 0 108 0.85829 1.03209 20.2% - 0s
0 0 1.03203 0 108 0.85829 1.03203 20.2% - 0s
0 0 1.03152 0 107 0.85829 1.03152 20.2% - 0s
0 0 1.03152 0 100 0.85829 1.03152 20.2% - 0s
0 2 1.03152 0 100 0.85829 1.03152 20.2% - 0s
895 477 0.94213 20 93 0.85829 0.95170 10.9% 25.3 5s
2724 528 cutoff 36 0.85829 0.90930 5.94% 27.0 10s
5000 973 cutoff 36 0.85829 0.89387 4.14% 24.8 15s
7782 1371 cutoff 40 0.85829 0.88463 3.07% 22.8 20s
10280 1589 infeasible 48 0.85829 0.87831 2.33% 21.4 25s
H12829 1462 0.8582908 0.87041 1.41% 20.6 29s
12863 1384 infeasible 39 0.85829 0.87024 1.39% 20.6 30s
Cutting planes:
Gomory: 73
Cover: 5
Implied bound: 30
Projected implied bound: 42
MIR: 8
Flow cover: 64
GUB cover: 1
Inf proof: 76
Explored 14801 nodes (291957 simplex iterations) in 32.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.858291 0.858291
Optimal solution found (tolerance 1.00e-02)
Best objective 8.582907706396e-01, best bound 8.665660467988e-01, gap 0.9642%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp___8wv1b.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdoz5ir6t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.856799
Presolve removed 592 rows and 384 columns
Presolve time: 0.04s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.128258e+00, 873 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12826 0 84 0.85680 1.12826 31.7% - 0s
0 0 1.04313 0 102 0.85680 1.04313 21.7% - 0s
0 0 1.04313 0 102 0.85680 1.04313 21.7% - 0s
0 0 1.03755 0 115 0.85680 1.03755 21.1% - 0s
0 0 1.03731 0 108 0.85680 1.03731 21.1% - 0s
0 0 1.03675 0 105 0.85680 1.03675 21.0% - 0s
0 0 1.03666 0 109 0.85680 1.03666 21.0% - 0s
0 0 1.03636 0 109 0.85680 1.03636 21.0% - 0s
0 0 1.03636 0 95 0.85680 1.03636 21.0% - 0s
0 2 1.03636 0 95 0.85680 1.03636 21.0% - 0s
925 509 infeasible 24 0.85680 0.95054 10.9% 24.8 5s
2484 399 0.89349 26 86 0.85680 0.90308 5.40% 27.2 10s
4470 724 cutoff 33 0.85680 0.88408 3.18% 25.7 15s
6867 978 0.86027 47 64 0.85680 0.87564 2.20% 23.9 20s
H 7634 1079 0.8567993 0.87357 1.96% 23.1 22s
8745 862 cutoff 61 0.85680 0.86863 1.38% 22.4 25s
Cutting planes:
Gomory: 99
Cover: 3
Implied bound: 26
Projected implied bound: 32
MIR: 15
Flow cover: 44
Inf proof: 61
Explored 9840 nodes (213275 simplex iterations) in 26.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.856799 0.856799
Optimal solution found (tolerance 1.00e-02)
Best objective 8.567992815081e-01, best bound 8.646294510875e-01, gap 0.9139%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaz22vfai.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpffridlyu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.847868
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.108905e+00, 858 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10891 0 89 0.84787 1.10891 30.8% - 0s
0 0 1.01618 0 115 0.84787 1.01618 19.9% - 0s
0 0 1.01618 0 115 0.84787 1.01618 19.9% - 0s
0 0 1.00914 0 116 0.84787 1.00914 19.0% - 0s
0 0 1.00882 0 110 0.84787 1.00882 19.0% - 0s
0 0 1.00728 0 113 0.84787 1.00728 18.8% - 0s
0 0 1.00704 0 119 0.84787 1.00704 18.8% - 0s
0 0 1.00685 0 120 0.84787 1.00685 18.8% - 0s
0 0 1.00685 0 110 0.84787 1.00685 18.8% - 0s
0 2 1.00685 0 107 0.84787 1.00685 18.8% - 0s
918 554 cutoff 32 0.84787 0.94509 11.5% 24.4 5s
2394 585 0.87991 22 95 0.84787 0.91624 8.06% 28.6 10s
3784 962 0.86975 44 85 0.84787 0.89890 6.02% 28.0 15s
5788 1094 0.85719 30 103 0.84787 0.88668 4.58% 28.2 20s
8253 1581 infeasible 35 0.84787 0.87648 3.37% 26.1 25s
10745 2046 cutoff 66 0.84787 0.87085 2.71% 24.6 30s
H12940 2319 0.8478675 0.86718 2.28% 24.1 34s
12945 2236 cutoff 46 0.84787 0.86718 2.28% 24.1 35s
14314 2064 cutoff 47 0.84787 0.86461 1.98% 24.1 40s
16517 1721 cutoff 45 0.84787 0.85980 1.41% 23.7 45s
Cutting planes:
Gomory: 88
Cover: 4
Implied bound: 24
Projected implied bound: 52
MIR: 16
Flow cover: 67
GUB cover: 1
Inf proof: 115
Explored 18315 nodes (426068 simplex iterations) in 48.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.847868 0.847868
Optimal solution found (tolerance 1.00e-02)
Best objective 8.478675016115e-01, best bound 8.559262604652e-01, gap 0.9505%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpndnuov_7.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7b5ziy88.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.826776
Presolve removed 620 rows and 402 columns
Presolve time: 0.04s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.081148e+00, 955 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08115 0 90 0.82678 1.08115 30.8% - 0s
0 0 0.99618 0 111 0.82678 0.99618 20.5% - 0s
0 0 0.99618 0 108 0.82678 0.99618 20.5% - 0s
0 0 0.99313 0 113 0.82678 0.99313 20.1% - 0s
0 0 0.99286 0 111 0.82678 0.99286 20.1% - 0s
0 0 0.99233 0 123 0.82678 0.99233 20.0% - 0s
0 0 0.99209 0 122 0.82678 0.99209 20.0% - 0s
0 0 0.99206 0 121 0.82678 0.99206 20.0% - 0s
0 0 0.99206 0 106 0.82678 0.99206 20.0% - 0s
0 2 0.99206 0 106 0.82678 0.99206 20.0% - 0s
772 498 0.92302 10 114 0.82678 0.92302 11.6% 21.1 5s
2059 665 0.85428 30 81 0.82678 0.90119 9.00% 27.5 10s
3468 886 0.86440 28 99 0.82678 0.88816 7.42% 30.3 15s
5118 944 cutoff 30 0.82678 0.87539 5.88% 30.4 20s
7054 991 cutoff 38 0.82678 0.86221 4.29% 31.0 25s
8625 1009 0.83780 33 90 0.82678 0.85659 3.61% 31.0 30s
10617 1066 0.84286 26 85 0.82678 0.84995 2.80% 30.3 35s
12839 998 0.84063 43 64 0.82678 0.84257 1.91% 29.3 40s
H12861 1006 0.8267761 0.84257 1.91% 29.3 40s
Cutting planes:
Gomory: 72
Cover: 5
Implied bound: 29
Projected implied bound: 26
Clique: 1
MIR: 11
Flow cover: 62
Inf proof: 85
Explored 14779 nodes (413286 simplex iterations) in 44.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.826776 0.826776
Optimal solution found (tolerance 1.00e-02)
Best objective 8.267760951282e-01, best bound 8.347413958672e-01, gap 0.9634%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpthxnpmff.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjn0cqp1l.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.819667
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.065031e+00, 927 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06503 0 90 0.81967 1.06503 29.9% - 0s
0 0 1.01326 0 90 0.81967 1.01326 23.6% - 0s
0 0 1.01326 0 88 0.81967 1.01326 23.6% - 0s
0 0 1.01120 0 116 0.81967 1.01120 23.4% - 0s
0 0 1.01086 0 115 0.81967 1.01086 23.3% - 0s
0 0 1.01044 0 117 0.81967 1.01044 23.3% - 0s
0 0 1.01025 0 118 0.81967 1.01025 23.3% - 0s
0 0 1.00946 0 118 0.81967 1.00946 23.2% - 0s
0 0 1.00925 0 118 0.81967 1.00925 23.1% - 0s
0 0 1.00925 0 118 0.81967 1.00925 23.1% - 0s
0 0 1.00925 0 118 0.81967 1.00925 23.1% - 0s
0 0 1.00925 0 104 0.81967 1.00925 23.1% - 0s
0 2 1.00925 0 103 0.81967 1.00925 23.1% - 0s
805 571 0.92904 21 116 0.81967 0.93083 13.6% 22.4 5s
1728 509 cutoff 25 0.81967 0.89960 9.75% 36.6 10s
3276 684 infeasible 42 0.81967 0.86478 5.50% 32.8 15s
5479 1414 cutoff 46 0.81967 0.85684 4.54% 27.9 20s
7557 1749 0.82989 50 71 0.81967 0.85120 3.85% 27.3 25s
9132 1864 cutoff 61 0.81967 0.84859 3.53% 27.2 30s
11040 1969 infeasible 45 0.81967 0.84503 3.09% 26.9 35s
13028 1994 cutoff 59 0.81967 0.84134 2.64% 26.5 40s
15042 1714 cutoff 64 0.81967 0.83666 2.07% 26.2 45s
17566 1272 infeasible 65 0.81967 0.83021 1.29% 25.4 50s
Cutting planes:
Gomory: 66
Cover: 1
Implied bound: 16
Projected implied bound: 45
MIR: 17
Flow cover: 63
GUB cover: 1
Inf proof: 91
Explored 18503 nodes (462207 simplex iterations) in 51.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.819667
Optimal solution found (tolerance 1.00e-02)
Best objective 8.196673041680e-01, best bound 8.275979560557e-01, gap 0.9675%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1_xxnv03.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqb3zauy5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.800542
Presolve removed 648 rows and 420 columns
Presolve time: 0.05s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.039979e+00, 917 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03998 0 91 0.80054 1.03998 29.9% - 0s
0 0 0.98862 0 96 0.80054 0.98862 23.5% - 0s
0 0 0.98862 0 96 0.80054 0.98862 23.5% - 0s
0 0 0.98295 0 109 0.80054 0.98295 22.8% - 0s
0 0 0.98230 0 112 0.80054 0.98230 22.7% - 0s
0 0 0.98034 0 121 0.80054 0.98034 22.5% - 0s
0 0 0.98001 0 126 0.80054 0.98001 22.4% - 0s
0 0 0.97949 0 124 0.80054 0.97949 22.4% - 0s
0 0 0.97947 0 125 0.80054 0.97947 22.4% - 0s
0 0 0.97922 0 125 0.80054 0.97922 22.3% - 0s
0 0 0.97922 0 125 0.80054 0.97922 22.3% - 0s
0 0 0.97922 0 125 0.80054 0.97922 22.3% - 0s
0 0 0.97922 0 122 0.80054 0.97922 22.3% - 0s
0 0 0.97922 0 122 0.80054 0.97922 22.3% - 0s
0 0 0.97922 0 109 0.80054 0.97922 22.3% - 0s
0 2 0.97922 0 108 0.80054 0.97922 22.3% - 0s
794 478 0.88444 15 123 0.80054 0.91147 13.9% 25.1 5s
2210 583 cutoff 53 0.80054 0.86080 7.53% 27.0 10s
H 2710 793 0.8005418 0.85612 6.94% 27.1 11s
3481 964 0.81083 38 88 0.80054 0.85046 6.24% 28.4 15s
5004 1117 cutoff 41 0.80054 0.84482 5.53% 29.7 20s
6247 1219 0.82742 38 89 0.80054 0.84152 5.12% 30.8 25s
7857 1358 0.82047 47 84 0.80054 0.83630 4.47% 30.8 30s
9760 1522 infeasible 59 0.80054 0.83158 3.88% 30.0 35s
11624 1685 0.82815 40 66 0.80054 0.82815 3.45% 29.6 40s
13565 1985 cutoff 37 0.80054 0.82433 2.97% 28.7 45s
15673 2128 0.81775 69 64 0.80054 0.82002 2.43% 28.0 50s
17640 1956 0.81318 66 56 0.80054 0.81683 2.03% 27.8 55s
19689 1731 cutoff 57 0.80054 0.81219 1.46% 27.1 60s
Cutting planes:
Gomory: 81
Cover: 2
Implied bound: 40
Projected implied bound: 58
Clique: 2
MIR: 15
Flow cover: 63
Inf proof: 137
Explored 22469 nodes (573569 simplex iterations) in 64.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.800542 0.800542
Optimal solution found (tolerance 1.00e-02)
Best objective 8.005418191241e-01, best bound 8.082678656849e-01, gap 0.9651%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvwr4h3in.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5_gcsmlx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.793019
Presolve removed 662 rows and 429 columns
Presolve time: 0.02s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.033045e+00, 1000 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03305 0 94 0.79302 1.03305 30.3% - 0s
0 0 0.98623 0 97 0.79302 0.98623 24.4% - 0s
0 0 0.98582 0 97 0.79302 0.98582 24.3% - 0s
0 0 0.98398 0 114 0.79302 0.98398 24.1% - 0s
0 0 0.98359 0 112 0.79302 0.98359 24.0% - 0s
0 0 0.98257 0 114 0.79302 0.98257 23.9% - 0s
0 0 0.98252 0 115 0.79302 0.98252 23.9% - 0s
0 0 0.98237 0 114 0.79302 0.98237 23.9% - 0s
0 0 0.98236 0 115 0.79302 0.98236 23.9% - 0s
0 0 0.98230 0 113 0.79302 0.98230 23.9% - 0s
0 0 0.98230 0 97 0.79302 0.98230 23.9% - 0s
0 2 0.98230 0 96 0.79302 0.98230 23.9% - 0s
740 516 0.91260 11 105 0.79302 0.91260 15.1% 29.7 5s
1553 602 0.82863 51 76 0.79302 0.89098 12.4% 38.6 10s
2856 891 cutoff 23 0.79302 0.86738 9.38% 36.3 15s
3883 1204 0.81672 32 85 0.79302 0.86203 8.70% 36.1 20s
5206 1628 0.83667 30 83 0.79302 0.85758 8.14% 36.0 25s
H 5464 1725 0.7930186 0.85705 8.07% 35.7 26s
6164 1962 0.80432 55 97 0.79302 0.85500 7.82% 35.5 30s
7768 2342 cutoff 34 0.79302 0.84974 7.15% 35.5 35s
9443 2607 0.81223 36 107 0.79302 0.84574 6.65% 35.7 40s
11109 2997 0.80978 30 123 0.79302 0.84125 6.08% 35.2 46s
12288 3199 0.81575 32 110 0.79302 0.83864 5.75% 35.3 50s
13778 3517 cutoff 35 0.79302 0.83656 5.49% 34.9 55s
15387 3754 0.79808 52 84 0.79302 0.83384 5.15% 35.2 61s
16704 4036 cutoff 40 0.79302 0.83224 4.95% 35.0 65s
18261 4300 cutoff 35 0.79302 0.83028 4.70% 35.2 71s
19087 4392 0.80023 43 96 0.79302 0.82932 4.58% 35.3 75s
20767 4571 0.80252 41 97 0.79302 0.82773 4.38% 35.4 94s
20774 4576 0.80097 54 148 0.79302 0.82773 4.38% 35.4 95s
20779 4579 0.80501 38 151 0.79302 0.82773 4.38% 35.4 100s
20785 4583 0.82134 53 168 0.79302 0.82773 4.38% 35.4 105s
20789 4586 0.82030 42 163 0.79302 0.82773 4.38% 35.4 110s
20795 4590 0.79852 108 177 0.79302 0.82773 4.38% 35.4 116s
20799 4592 0.80910 35 170 0.79302 0.82773 4.38% 35.4 120s
20803 4595 0.80904 42 165 0.79302 0.82773 4.38% 35.4 125s
20808 4598 0.81210 52 179 0.79302 0.82773 4.38% 35.4 130s
20814 4602 0.82235 54 184 0.79302 0.82773 4.38% 35.4 135s
20821 4607 0.81731 38 182 0.79302 0.82773 4.38% 35.4 141s
20826 4610 0.81438 41 182 0.79302 0.82773 4.38% 35.3 145s
20831 4614 0.82481 49 179 0.79302 0.82773 4.38% 35.3 151s
20834 4616 0.81816 34 190 0.79302 0.82773 4.38% 35.3 155s
20839 4619 0.80597 57 185 0.79302 0.82773 4.38% 35.3 160s
20845 4623 0.79736 36 190 0.79302 0.82773 4.38% 35.3 165s
20851 4627 0.79871 43 193 0.79302 0.82773 4.38% 35.3 170s
20857 4631 0.82009 32 192 0.79302 0.82773 4.38% 35.3 175s
20863 4635 0.80504 45 188 0.79302 0.82773 4.38% 35.3 180s
20868 4638 0.82355 39 188 0.79302 0.82773 4.38% 35.3 185s
20873 4642 0.80683 79 201 0.79302 0.82773 4.38% 35.3 191s
20876 4646 0.82773 20 163 0.79302 0.82773 4.38% 36.2 196s
20878 4648 0.82773 21 173 0.79302 0.82773 4.38% 36.2 201s
20885 4644 0.82773 23 193 0.79302 0.82773 4.38% 36.3 209s
20889 4644 0.82773 24 187 0.79302 0.82773 4.38% 36.3 210s
20907 4647 0.82773 27 186 0.79302 0.82773 4.38% 36.4 215s
21221 4726 0.79691 54 139 0.79302 0.82773 4.38% 36.8 220s
21559 4758 0.82773 29 164 0.79302 0.82773 4.38% 37.7 225s
21772 4758 cutoff 34 0.79302 0.82773 4.38% 38.4 230s
22055 4730 0.81043 36 176 0.79302 0.82773 4.38% 39.7 235s
22432 4777 0.82465 37 130 0.79302 0.82773 4.38% 40.9 240s
22639 4780 0.81935 37 156 0.79302 0.82724 4.32% 41.9 245s
22980 4785 cutoff 41 0.79302 0.82652 4.22% 43.4 252s
23105 4775 0.79340 35 147 0.79302 0.82632 4.20% 43.8 255s
23416 4740 0.80096 37 154 0.79302 0.82495 4.03% 45.5 261s
23611 4744 0.82018 39 171 0.79302 0.82457 3.98% 46.4 265s
23909 4731 infeasible 34 0.79302 0.82373 3.87% 48.0 271s
24109 4707 infeasible 45 0.79302 0.82346 3.84% 49.1 275s
24391 4682 0.80933 58 134 0.79302 0.82259 3.73% 50.7 281s
24631 4694 0.80773 52 143 0.79302 0.82240 3.70% 51.2 287s
24939 4686 0.80834 45 140 0.79302 0.82141 3.58% 52.4 292s
25155 4694 0.79400 45 169 0.79302 0.82116 3.55% 52.9 295s
25557 4648 0.81181 50 136 0.79302 0.82049 3.46% 54.2 301s
25920 4592 0.79703 43 166 0.79302 0.81926 3.31% 55.7 307s
26086 4562 cutoff 44 0.79302 0.81878 3.25% 56.5 311s
26156 4531 0.79862 57 115 0.79302 0.81849 3.21% 57.0 320s
26545 4459 0.81265 69 97 0.79302 0.81782 3.13% 58.5 326s
26789 4413 0.80490 48 153 0.79302 0.81743 3.08% 59.2 330s
27446 4361 0.80197 34 160 0.79302 0.81645 2.95% 60.7 338s
27762 4332 0.79869 36 152 0.79302 0.81643 2.95% 61.4 342s
28099 4312 0.79657 37 158 0.79302 0.81534 2.81% 62.2 348s
28403 4282 0.79705 33 175 0.79302 0.81483 2.75% 62.7 353s
28754 4245 0.81141 42 163 0.79302 0.81420 2.67% 63.5 357s
28927 4183 0.79411 57 151 0.79302 0.81377 2.62% 64.1 363s
29220 4108 0.79643 36 153 0.79302 0.81308 2.53% 65.1 368s
29620 4023 infeasible 42 0.79302 0.81276 2.49% 66.0 373s
30031 3978 cutoff 43 0.79302 0.81224 2.42% 66.8 379s
30355 3875 cutoff 46 0.79302 0.81185 2.37% 67.8 384s
30839 3780 0.79789 57 125 0.79302 0.81120 2.29% 68.6 390s
31173 3649 0.79593 44 150 0.79302 0.81021 2.17% 69.7 396s
31712 3611 cutoff 46 0.79302 0.80968 2.10% 70.4 402s
32061 3517 0.80220 66 120 0.79302 0.80926 2.05% 70.9 408s
32440 3367 cutoff 41 0.79302 0.80896 2.01% 71.9 415s
32761 3270 infeasible 97 0.79302 0.80835 1.93% 72.9 421s
33225 3111 0.79555 59 144 0.79302 0.80798 1.89% 73.6 427s
33625 2990 0.80071 96 64 0.79302 0.80767 1.85% 74.3 432s
34046 2837 0.80345 64 100 0.79302 0.80710 1.78% 75.2 438s
34514 2774 cutoff 51 0.79302 0.80686 1.74% 75.6 443s
34930 2710 cutoff 64 0.79302 0.80636 1.68% 76.2 449s
35362 2731 0.79626 60 119 0.79302 0.80590 1.62% 76.8 454s
35747 2709 0.79732 44 153 0.79302 0.80558 1.58% 77.5 459s
36065 2688 cutoff 59 0.79302 0.80497 1.51% 78.2 465s
36479 2682 0.79678 84 72 0.79302 0.80470 1.47% 78.6 470s
36978 2724 0.79953 61 119 0.79302 0.80430 1.42% 78.9 475s
37351 2723 0.80230 48 150 0.79302 0.80384 1.36% 79.3 480s
37651 2691 cutoff 45 0.79302 0.80349 1.32% 79.8 486s
37984 2704 0.80118 71 82 0.79302 0.80327 1.29% 80.1 491s
38390 2723 cutoff 49 0.79302 0.80295 1.25% 80.3 496s
38808 2753 0.80177 70 78 0.79302 0.80264 1.21% 80.4 500s
39591 2776 0.80130 70 74 0.79302 0.80206 1.14% 80.6 508s
40261 2925 cutoff 54 0.79302 0.80179 1.11% 80.2 511s
40943 2916 infeasible 84 0.79302 0.80124 1.04% 80.1 518s
41453 2991 cutoff 62 0.79302 0.80113 1.02% 79.8 522s
Cutting planes:
Gomory: 196
Cover: 14
Implied bound: 44
Projected implied bound: 53
Clique: 2
MIR: 204
StrongCG: 3
Flow cover: 624
Inf proof: 100
Explored 41875 nodes (3343188 simplex iterations) in 522.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.793019 0.793019
Optimal solution found (tolerance 1.00e-02)
Best objective 7.930185454690e-01, best bound 8.007943328875e-01, gap 0.9805%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpombup58q.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpte9q5zfu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.785921
Presolve removed 676 rows and 438 columns
Presolve time: 0.05s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.023361e+00, 1118 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02336 0 96 0.78592 1.02336 30.2% - 0s
0 0 0.98220 0 92 0.78592 0.98220 25.0% - 0s
0 0 0.98167 0 92 0.78592 0.98167 24.9% - 0s
0 0 0.96891 0 133 0.78592 0.96891 23.3% - 0s
0 0 0.96825 0 133 0.78592 0.96825 23.2% - 0s
0 0 0.96463 0 138 0.78592 0.96463 22.7% - 0s
0 0 0.96418 0 135 0.78592 0.96418 22.7% - 0s
0 0 0.96415 0 138 0.78592 0.96415 22.7% - 0s
0 0 0.96413 0 138 0.78592 0.96413 22.7% - 0s
0 0 0.96387 0 136 0.78592 0.96387 22.6% - 0s
0 0 0.96386 0 130 0.78592 0.96386 22.6% - 0s
0 0 0.96383 0 136 0.78592 0.96383 22.6% - 0s
0 0 0.96383 0 135 0.78592 0.96383 22.6% - 0s
0 0 0.96379 0 135 0.78592 0.96379 22.6% - 0s
0 0 0.96379 0 124 0.78592 0.96379 22.6% - 0s
0 2 0.96379 0 122 0.78592 0.96379 22.6% - 0s
750 498 0.86685 15 141 0.78592 0.89770 14.2% 26.7 5s
H 1445 654 0.7859205 0.89770 14.2% 30.2 8s
H 1779 691 0.7859205 0.89652 14.1% 30.6 9s
1792 677 0.81622 28 115 0.78592 0.89636 14.1% 30.6 10s
2784 969 0.83973 30 115 0.78592 0.88125 12.1% 32.8 15s
4147 1407 0.81037 36 124 0.78592 0.86574 10.2% 33.0 20s
5372 1707 infeasible 28 0.78592 0.85607 8.93% 33.0 25s
H 6684 1938 0.7859205 0.84673 7.74% 33.3 29s
6685 1939 cutoff 41 0.78592 0.84663 7.73% 33.3 30s
8126 2091 infeasible 37 0.78592 0.83767 6.58% 33.4 35s
9644 2205 0.80669 38 108 0.78592 0.83088 5.72% 33.7 40s
11509 2445 0.80000 35 119 0.78592 0.82558 5.05% 33.4 46s
12957 2654 0.79692 38 119 0.78592 0.82213 4.61% 33.1 50s
14896 3001 cutoff 33 0.78592 0.81893 4.20% 32.5 55s
16136 3207 cutoff 46 0.78592 0.81711 3.97% 32.2 60s
17939 3293 0.79719 36 111 0.78592 0.81461 3.65% 32.0 65s
H19678 3420 0.7859205 0.81302 3.45% 32.2 70s
20954 3337 cutoff 38 0.78592 0.81140 3.24% 32.4 75s
21354 3324 0.80554 39 125 0.78592 0.81101 3.19% 32.4 90s
22757 3205 0.78918 40 125 0.78592 0.80938 2.99% 32.9 95s
24191 3227 0.80415 40 136 0.78592 0.80759 2.76% 33.1 100s
25734 3178 0.79532 60 95 0.78592 0.80589 2.54% 33.4 105s
27218 3130 cutoff 74 0.78592 0.80458 2.37% 33.6 110s
28667 3042 infeasible 37 0.78592 0.80317 2.20% 33.9 115s
29368 2965 cutoff 42 0.78592 0.80227 2.08% 34.0 120s
31097 2887 0.79644 77 79 0.78592 0.80042 1.85% 34.2 125s
32997 3071 0.79216 81 71 0.78592 0.79914 1.68% 33.8 130s
35498 3270 0.79827 83 58 0.78592 0.79827 1.57% 32.8 135s
37653 3335 cutoff 38 0.78592 0.79697 1.41% 32.2 140s
39856 3213 0.79546 81 75 0.78592 0.79565 1.24% 31.6 145s
42164 3015 cutoff 84 0.78592 0.79429 1.07% 31.1 150s
Cutting planes:
Gomory: 108
Cover: 4
Implied bound: 55
Projected implied bound: 52
MIR: 27
Flow cover: 124
GUB cover: 1
Inf proof: 214
Explored 43035 nodes (1337027 simplex iterations) in 151.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.785921 0.785921 0.785921 ... 0.785921
Optimal solution found (tolerance 1.00e-02)
Best objective 7.859205242848e-01, best bound 7.937401823273e-01, gap 0.9950%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpto_av7ar.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphjztit4y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.78268
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.018392e+00, 1006 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01839 0 100 0.78268 1.01839 30.1% - 0s
0 0 0.97191 0 115 0.78268 0.97191 24.2% - 0s
0 0 0.97109 0 108 0.78268 0.97109 24.1% - 0s
0 0 0.96590 0 119 0.78268 0.96590 23.4% - 0s
0 0 0.96529 0 123 0.78268 0.96529 23.3% - 0s
0 0 0.96388 0 121 0.78268 0.96388 23.2% - 0s
0 0 0.96326 0 121 0.78268 0.96326 23.1% - 0s
0 0 0.96326 0 121 0.78268 0.96326 23.1% - 0s
0 0 0.96326 0 121 0.78268 0.96326 23.1% - 0s
0 0 0.96323 0 121 0.78268 0.96323 23.1% - 0s
0 0 0.96323 0 104 0.78268 0.96323 23.1% - 0s
0 0 0.96322 0 104 0.78268 0.96322 23.1% - 0s
0 0 0.96285 0 101 0.78268 0.96285 23.0% - 0s
0 0 0.96257 0 103 0.78268 0.96257 23.0% - 0s
0 0 0.96246 0 105 0.78268 0.96246 23.0% - 0s
0 0 0.96241 0 106 0.78268 0.96241 23.0% - 0s
0 0 0.96241 0 106 0.78268 0.96241 23.0% - 0s
0 0 0.96241 0 106 0.78268 0.96241 23.0% - 0s
0 0 0.96241 0 104 0.78268 0.96241 23.0% - 0s
0 2 0.96241 0 104 0.78268 0.96241 23.0% - 0s
756 521 0.88747 16 109 0.78268 0.88747 13.4% 24.6 5s
1595 582 0.86568 28 117 0.78268 0.88747 13.4% 35.2 10s
2293 559 0.88282 27 119 0.78268 0.88747 13.4% 38.9 15s
3353 936 0.84029 35 111 0.78268 0.87953 12.4% 40.7 20s
H 3780 1016 0.7826802 0.87531 11.8% 42.5 23s
4011 1031 cutoff 30 0.78268 0.87247 11.5% 42.9 25s
5208 1332 0.83285 37 118 0.78268 0.85778 9.60% 43.3 30s
6594 1793 0.81163 32 101 0.78268 0.84849 8.41% 41.7 36s
8062 2202 0.80672 40 96 0.78268 0.84190 7.57% 40.3 40s
9371 2552 0.80921 53 103 0.78268 0.83816 7.09% 39.7 45s
10681 2744 0.80333 44 110 0.78268 0.83429 6.59% 39.5 51s
11926 2829 cutoff 41 0.78268 0.83063 6.13% 39.4 55s
13653 2852 infeasible 48 0.78268 0.82582 5.51% 39.7 61s
14558 2888 cutoff 51 0.78268 0.82355 5.22% 39.6 65s
16233 2908 0.79369 46 95 0.78268 0.81983 4.75% 39.5 71s
H16734 2996 0.7826803 0.81878 4.61% 39.4 72s
16933 2975 0.81078 48 105 0.78268 0.81855 4.58% 39.4 75s
18328 2979 cutoff 47 0.78268 0.81666 4.34% 39.2 80s
20238 3055 infeasible 44 0.78268 0.81355 3.94% 38.6 86s
21376 3041 cutoff 45 0.78268 0.81126 3.65% 38.6 103s
21998 2982 cutoff 49 0.78268 0.81022 3.52% 38.8 105s
23101 2991 0.78541 56 82 0.78268 0.80823 3.26% 38.9 110s
24651 2990 cutoff 46 0.78268 0.80610 2.99% 39.0 115s
25855 2933 infeasible 52 0.78268 0.80417 2.75% 39.0 121s
27065 2771 infeasible 61 0.78268 0.80190 2.46% 39.2 125s
28460 2702 cutoff 66 0.78268 0.79997 2.21% 38.9 130s
29765 2624 0.79282 59 102 0.78268 0.79808 1.97% 38.6 135s
31841 2790 0.79095 63 99 0.78268 0.79615 1.72% 37.9 140s
33721 2852 0.79098 60 92 0.78268 0.79467 1.53% 37.1 145s
35510 2634 infeasible 41 0.78268 0.79266 1.27% 36.6 150s
36912 2452 cutoff 52 0.78268 0.79115 1.08% 36.1 155s
Cutting planes:
Gomory: 101
Cover: 1
Implied bound: 52
Projected implied bound: 62
Clique: 3
MIR: 40
Flow cover: 115
Inf proof: 171
Explored 37477 nodes (1347788 simplex iterations) in 155.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.78268 0.78268 0.78268
Optimal solution found (tolerance 1.00e-02)
Best objective 7.826801560512e-01, best bound 7.904672413370e-01, gap 0.9949%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzji82bu1.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpacs29ll_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.775486
Presolve removed 704 rows and 456 columns
Presolve time: 0.03s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 1.010105e+00, 1041 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01011 0 105 0.77549 1.01011 30.3% - 0s
0 0 0.97423 0 101 0.77549 0.97423 25.6% - 0s
0 0 0.97423 0 101 0.77549 0.97423 25.6% - 0s
0 0 0.95953 0 138 0.77549 0.95953 23.7% - 0s
0 0 0.95786 0 143 0.77549 0.95786 23.5% - 0s
0 0 0.95627 0 139 0.77549 0.95627 23.3% - 0s
0 0 0.95616 0 137 0.77549 0.95616 23.3% - 0s
0 0 0.95604 0 145 0.77549 0.95604 23.3% - 0s
0 0 0.95578 0 141 0.77549 0.95578 23.2% - 0s
0 0 0.95575 0 142 0.77549 0.95575 23.2% - 0s
0 0 0.95574 0 143 0.77549 0.95574 23.2% - 0s
0 0 0.95573 0 141 0.77549 0.95573 23.2% - 0s
0 0 0.95573 0 141 0.77549 0.95573 23.2% - 0s
0 0 0.95573 0 141 0.77549 0.95573 23.2% - 0s
0 0 0.95573 0 130 0.77549 0.95573 23.2% - 0s
0 2 0.95573 0 130 0.77549 0.95573 23.2% - 0s
762 493 0.88698 14 119 0.77549 0.88698 14.4% 24.6 5s
1533 708 0.78800 97 76 0.77549 0.88331 13.9% 30.6 10s
2396 802 cutoff 25 0.77549 0.85919 10.8% 34.9 15s
H 3159 1145 0.7754864 0.85362 10.1% 34.2 18s
3369 1195 cutoff 29 0.77549 0.85127 9.77% 35.3 20s
4190 1443 cutoff 25 0.77549 0.84452 8.90% 35.7 25s
5303 1681 cutoff 52 0.77549 0.83706 7.94% 36.4 30s
6697 2079 0.79955 36 96 0.77549 0.83166 7.24% 35.5 35s
7902 2314 cutoff 33 0.77549 0.82740 6.69% 34.9 41s
9252 2518 cutoff 34 0.77549 0.82281 6.10% 34.8 46s
10335 2676 infeasible 39 0.77549 0.81965 5.69% 34.5 50s
11659 2897 0.78153 44 92 0.77549 0.81720 5.38% 34.3 55s
H12947 3028 0.7754864 0.81408 4.98% 34.3 60s
13968 3145 0.77975 51 114 0.77549 0.81134 4.62% 34.3 65s
15265 3314 0.80374 40 107 0.77549 0.80953 4.39% 34.3 70s
16918 3467 0.79414 39 105 0.77549 0.80725 4.10% 34.3 76s
18120 3553 cutoff 44 0.77549 0.80559 3.88% 34.4 80s
18789 3605 infeasible 49 0.77549 0.80533 3.85% 34.4 85s
20460 3723 0.79232 40 99 0.77549 0.80353 3.62% 34.4 91s
20873 3728 0.79888 36 116 0.77549 0.80314 3.57% 34.4 106s
21902 3806 cutoff 39 0.77549 0.80219 3.44% 34.6 110s
22823 3804 0.79928 41 109 0.77549 0.80126 3.32% 35.1 115s
23983 3835 infeasible 39 0.77549 0.80023 3.19% 35.8 121s
24954 3881 0.78035 50 131 0.77549 0.79949 3.10% 36.2 125s
25944 3931 cutoff 42 0.77549 0.79859 2.98% 36.7 131s
26274 3890 cutoff 77 0.77549 0.79826 2.94% 36.9 135s
27792 3980 0.78035 45 114 0.77549 0.79720 2.80% 37.2 141s
28745 3919 cutoff 45 0.77549 0.79639 2.70% 37.6 146s
29366 3898 cutoff 28 0.77549 0.79575 2.61% 37.9 150s
30386 3918 0.79154 42 139 0.77549 0.79487 2.50% 38.3 155s
31354 3886 0.78935 41 122 0.77549 0.79430 2.43% 38.7 160s
32536 3926 0.78515 46 112 0.77549 0.79343 2.31% 38.8 165s
33544 3896 cutoff 58 0.77549 0.79263 2.21% 39.1 171s
34689 3959 0.78367 52 113 0.77549 0.79197 2.13% 39.2 176s
35437 3962 0.78020 72 111 0.77549 0.79140 2.05% 39.2 180s
36693 3852 cutoff 46 0.77549 0.79034 1.92% 39.5 186s
37474 3841 0.78467 50 137 0.77549 0.78983 1.85% 39.4 190s
38858 3909 cutoff 39 0.77549 0.78920 1.77% 39.2 195s
39766 3861 cutoff 107 0.77549 0.78882 1.72% 39.3 201s
40790 3743 0.78335 61 111 0.77549 0.78800 1.61% 39.2 205s
41995 3685 infeasible 59 0.77549 0.78736 1.53% 39.1 210s
42953 3558 0.78068 99 81 0.77549 0.78670 1.45% 39.1 215s
44324 3455 infeasible 97 0.77549 0.78590 1.34% 39.0 220s
45820 3408 0.78290 83 82 0.77549 0.78503 1.23% 38.7 225s
47202 3284 cutoff 67 0.77549 0.78423 1.13% 38.4 230s
48783 3179 infeasible 96 0.77549 0.78339 1.02% 38.0 236s
Cutting planes:
Gomory: 125
Cover: 5
Implied bound: 57
Projected implied bound: 55
Clique: 1
MIR: 31
Flow cover: 139
GUB cover: 1
Inf proof: 224
Explored 49765 nodes (1880228 simplex iterations) in 238.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.775486 0.775486 0.775486
Optimal solution found (tolerance 1.00e-02)
Best objective 7.754864145911e-01, best bound 7.827370014480e-01, gap 0.9350%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1azc4l0x.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfjmwh6qe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.759827
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.887783e-01, 1174 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98878 0 106 0.75983 0.98878 30.1% - 0s
0 0 0.95198 0 110 0.75983 0.95198 25.3% - 0s
0 0 0.95126 0 106 0.75983 0.95126 25.2% - 0s
0 0 0.94988 0 119 0.75983 0.94988 25.0% - 0s
0 0 0.94984 0 119 0.75983 0.94984 25.0% - 0s
0 0 0.94933 0 125 0.75983 0.94933 24.9% - 0s
0 0 0.94933 0 125 0.75983 0.94933 24.9% - 0s
0 0 0.94931 0 127 0.75983 0.94931 24.9% - 0s
0 0 0.94931 0 127 0.75983 0.94931 24.9% - 0s
0 0 0.94931 0 127 0.75983 0.94931 24.9% - 0s
0 0 0.94931 0 106 0.75983 0.94931 24.9% - 0s
0 2 0.94931 0 106 0.75983 0.94931 24.9% - 0s
748 545 0.88179 16 136 0.75983 0.88179 16.1% 25.9 5s
1545 673 0.78708 22 143 0.75983 0.84620 11.4% 33.2 10s
2375 706 0.76556 57 109 0.75983 0.82835 9.02% 37.0 15s
3503 1179 0.77553 30 141 0.75983 0.81736 7.57% 35.6 20s
4577 1461 0.77028 39 114 0.75983 0.81324 7.03% 35.6 25s
5898 1751 0.76243 32 133 0.75983 0.80853 6.41% 36.5 30s
6854 1921 0.76920 38 100 0.75983 0.80497 5.94% 37.1 35s
8262 2150 cutoff 39 0.75983 0.80138 5.47% 37.2 40s
9353 2331 0.79626 36 126 0.75983 0.79909 5.17% 37.3 45s
10850 2680 cutoff 40 0.75983 0.79647 4.82% 36.5 51s
12191 2899 0.77917 35 117 0.75983 0.79426 4.53% 36.2 55s
13093 3032 cutoff 43 0.75983 0.79295 4.36% 36.2 61s
14539 3187 0.76484 60 102 0.75983 0.79087 4.09% 35.8 65s
15899 3327 0.78466 90 87 0.75983 0.78934 3.88% 35.7 70s
17818 3689 0.76277 130 67 0.75983 0.78768 3.67% 35.1 76s
19471 3981 cutoff 40 0.75983 0.78616 3.47% 34.3 80s
20853 4187 0.77603 52 113 0.75983 0.78485 3.29% 33.9 99s
21268 4243 0.76876 49 133 0.75983 0.78453 3.25% 33.8 100s
22525 4304 0.76259 73 114 0.75983 0.78344 3.11% 34.2 105s
23736 4243 cutoff 44 0.75983 0.78215 2.94% 35.0 110s
24900 4349 cutoff 43 0.75983 0.78098 2.78% 35.3 115s
26338 4374 0.76969 48 136 0.75983 0.77977 2.63% 35.7 120s
27972 4471 infeasible 67 0.75983 0.77845 2.45% 35.9 126s
28950 4423 cutoff 41 0.75983 0.77744 2.32% 36.5 130s
30337 4378 cutoff 48 0.75983 0.77610 2.14% 36.8 136s
31438 4349 0.77490 46 123 0.75983 0.77521 2.02% 37.0 140s
33047 4404 cutoff 115 0.75983 0.77399 1.86% 37.0 145s
35117 4717 cutoff 105 0.75983 0.77326 1.77% 36.3 151s
36431 4785 0.76900 74 104 0.75983 0.77271 1.69% 36.0 155s
37841 4829 0.76716 78 97 0.75983 0.77221 1.63% 35.7 160s
39404 4682 0.76462 70 91 0.75983 0.77146 1.53% 35.6 165s
41210 4527 cutoff 61 0.75983 0.77066 1.43% 35.4 170s
42654 4383 0.76859 50 140 0.75983 0.76997 1.33% 35.3 175s
43938 4186 0.76760 53 114 0.75983 0.76939 1.26% 35.1 181s
45360 4010 cutoff 125 0.75983 0.76868 1.16% 34.9 185s
46913 3821 cutoff 129 0.75983 0.76789 1.06% 34.6 190s
Cutting planes:
Learned: 1
Gomory: 124
Cover: 1
Implied bound: 42
Projected implied bound: 61
Clique: 1
MIR: 28
Flow cover: 142
Inf proof: 242
Explored 48023 nodes (1656702 simplex iterations) in 193.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.759827
Optimal solution found (tolerance 1.00e-02)
Best objective 7.598272790046e-01, best bound 7.673572073712e-01, gap 0.9910%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7hag8hy7.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdtkqfyw4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.753996
Presolve removed 732 rows and 474 columns
Presolve time: 0.04s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.793638e-01, 1070 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97936 0 107 0.75400 0.97936 29.9% - 0s
0 0 0.93988 0 117 0.75400 0.93988 24.7% - 0s
0 0 0.93988 0 117 0.75400 0.93988 24.7% - 0s
0 0 0.93703 0 124 0.75400 0.93703 24.3% - 0s
0 0 0.93659 0 121 0.75400 0.93659 24.2% - 0s
0 0 0.93593 0 127 0.75400 0.93593 24.1% - 0s
0 0 0.93561 0 126 0.75400 0.93561 24.1% - 0s
0 0 0.93413 0 125 0.75400 0.93413 23.9% - 0s
0 0 0.93413 0 125 0.75400 0.93413 23.9% - 0s
0 0 0.93403 0 125 0.75400 0.93403 23.9% - 0s
0 0 0.93403 0 125 0.75400 0.93403 23.9% - 0s
0 0 0.93403 0 108 0.75400 0.93403 23.9% - 0s
0 2 0.93403 0 108 0.75400 0.93403 23.9% - 0s
757 511 0.86677 13 122 0.75400 0.86677 15.0% 29.4 5s
1398 673 0.76005 28 128 0.75400 0.85846 13.9% 32.8 10s
2218 755 0.79958 27 137 0.75400 0.83957 11.3% 35.1 15s
2988 972 cutoff 29 0.75400 0.82723 9.71% 35.1 20s
4105 1256 infeasible 29 0.75400 0.81743 8.41% 35.5 25s
5229 1516 0.77362 30 112 0.75400 0.81285 7.81% 35.7 30s
6122 1675 0.76527 38 114 0.75400 0.80945 7.36% 36.0 35s
7296 1966 0.78607 33 116 0.75400 0.80660 6.98% 35.9 40s
8346 2223 0.77727 38 116 0.75400 0.80295 6.49% 35.5 45s
9397 2435 cutoff 32 0.75400 0.79997 6.10% 35.2 50s
10631 2659 cutoff 44 0.75400 0.79740 5.76% 35.0 55s
11682 2778 0.75899 39 141 0.75400 0.79490 5.42% 34.7 60s
13041 2965 0.76691 38 120 0.75400 0.79142 4.96% 34.6 66s
H13050 2966 0.7539956 0.79142 4.96% 34.6 66s
14042 3154 0.77357 37 114 0.75400 0.79003 4.78% 34.2 71s
15293 3307 0.76689 37 118 0.75400 0.78802 4.51% 34.0 76s
16708 3705 cutoff 40 0.75400 0.78671 4.34% 33.3 81s
18137 3979 cutoff 47 0.75400 0.78587 4.23% 32.9 86s
18569 4014 infeasible 37 0.75400 0.78544 4.17% 32.8 90s
19846 4244 cutoff 63 0.75400 0.78445 4.04% 32.7 95s
21063 4434 0.76245 40 108 0.75400 0.78389 3.96% 32.7 114s
21065 4435 0.75621 38 105 0.75400 0.78389 3.96% 32.7 115s
21073 4441 0.76724 52 194 0.75400 0.78389 3.96% 32.7 121s
21078 4444 0.75843 84 205 0.75400 0.78389 3.96% 32.7 125s
21084 4448 0.75777 53 196 0.75400 0.78389 3.96% 32.7 130s
21088 4451 0.77028 50 185 0.75400 0.78389 3.96% 32.7 135s
21094 4455 0.76502 49 198 0.75400 0.78389 3.96% 32.6 140s
21099 4458 0.76438 98 216 0.75400 0.78389 3.96% 32.6 145s
21103 4461 0.76482 95 209 0.75400 0.78389 3.96% 32.6 150s
21109 4465 0.77241 30 215 0.75400 0.78389 3.96% 32.6 155s
21113 4467 0.77886 38 216 0.75400 0.78389 3.96% 32.6 160s
21117 4470 0.76213 56 220 0.75400 0.78389 3.96% 32.6 165s
21123 4474 0.75754 39 214 0.75400 0.78389 3.96% 32.6 170s
21128 4477 0.77009 39 227 0.75400 0.78389 3.96% 32.6 175s
21133 4481 0.77807 46 220 0.75400 0.78389 3.96% 32.6 180s
21138 4484 0.76924 69 233 0.75400 0.78389 3.96% 32.6 185s
21142 4487 0.77190 38 230 0.75400 0.78389 3.96% 32.6 190s
21146 4489 0.78186 45 239 0.75400 0.78389 3.96% 32.6 195s
21150 4492 0.75881 71 230 0.75400 0.78389 3.96% 32.6 200s
21155 4495 0.76755 48 232 0.75400 0.78389 3.96% 32.5 205s
21159 4498 0.76303 52 234 0.75400 0.78389 3.96% 32.5 210s
21163 4501 0.76245 40 237 0.75400 0.78389 3.96% 32.5 215s
21167 4503 0.77858 37 233 0.75400 0.78389 3.96% 32.5 220s
21171 4506 0.78206 39 233 0.75400 0.78389 3.96% 32.5 226s
21174 4508 0.77895 86 235 0.75400 0.78389 3.96% 32.5 230s
21179 4511 0.75970 65 232 0.75400 0.78389 3.96% 32.5 237s
21182 4513 0.76317 48 231 0.75400 0.78389 3.96% 32.5 240s
21185 4515 0.77772 47 232 0.75400 0.78389 3.96% 32.5 245s
21189 4518 0.77274 45 239 0.75400 0.78389 3.96% 32.5 250s
21194 4524 0.78389 24 199 0.75400 0.78389 3.96% 33.9 259s
21196 4526 0.78389 25 201 0.75400 0.78389 3.96% 33.9 264s
21200 4527 0.78389 26 203 0.75400 0.78389 3.96% 33.9 271s
21227 4534 cutoff 32 0.75400 0.78389 3.96% 34.1 276s
21345 4565 0.77967 47 152 0.75400 0.78389 3.96% 34.7 280s
21564 4597 0.78389 35 185 0.75400 0.78389 3.96% 35.3 285s
21760 4611 0.78389 30 193 0.75400 0.78389 3.96% 35.9 290s
22003 4618 cutoff 38 0.75400 0.78389 3.96% 36.9 295s
22040 4617 0.78389 34 217 0.75400 0.78389 3.96% 37.2 300s
22212 4604 cutoff 34 0.75400 0.78389 3.96% 38.1 305s
22430 4626 0.76883 39 170 0.75400 0.78389 3.96% 39.4 311s
22579 4608 0.78389 37 195 0.75400 0.78389 3.96% 40.4 315s
22795 4582 0.76288 45 163 0.75400 0.78389 3.96% 41.7 321s
23004 4550 cutoff 42 0.75400 0.78389 3.96% 43.1 326s
23136 4526 cutoff 41 0.75400 0.78389 3.96% 44.0 330s
23398 4491 0.76497 40 169 0.75400 0.78389 3.96% 45.4 336s
23585 4476 0.76350 45 171 0.75400 0.78389 3.96% 46.2 346s
23684 4443 0.77232 34 196 0.75400 0.78389 3.96% 46.8 351s
23907 4383 0.76361 40 180 0.75400 0.78389 3.96% 48.2 356s
24117 4335 0.75984 43 175 0.75400 0.78389 3.96% 49.3 362s
24240 4300 cutoff 42 0.75400 0.78389 3.96% 50.1 365s
24483 4240 cutoff 43 0.75400 0.78389 3.96% 51.5 372s
24642 4222 cutoff 41 0.75400 0.78389 3.96% 52.2 375s
24952 4145 0.75714 43 170 0.75400 0.78389 3.96% 53.9 382s
25116 4098 0.76492 41 178 0.75400 0.78389 3.96% 54.8 386s
25401 4034 cutoff 38 0.75400 0.78389 3.96% 56.2 393s
25593 4005 0.76424 49 165 0.75400 0.78389 3.96% 57.1 397s
25733 3975 cutoff 45 0.75400 0.78363 3.93% 57.9 403s
25801 3949 0.76723 45 163 0.75400 0.78327 3.88% 58.3 407s
26025 3909 cutoff 39 0.75400 0.78251 3.78% 59.3 412s
26237 3857 cutoff 48 0.75400 0.78184 3.69% 60.2 417s
26542 3804 0.77028 49 175 0.75400 0.78127 3.62% 61.1 422s
26810 3744 0.76196 39 158 0.75400 0.78074 3.55% 62.2 428s
27262 3740 0.77724 50 177 0.75400 0.77921 3.34% 62.9 433s
27689 3727 cutoff 48 0.75400 0.77826 3.22% 63.7 439s
28007 3668 cutoff 47 0.75400 0.77751 3.12% 64.6 446s
28514 3661 cutoff 39 0.75400 0.77654 2.99% 65.3 452s
28858 3515 infeasible 42 0.75400 0.77536 2.83% 66.5 458s
29466 3453 cutoff 53 0.75400 0.77452 2.72% 67.1 465s
30393 3515 0.76960 60 109 0.75400 0.77342 2.58% 66.9 472s
31254 3456 0.76869 45 187 0.75400 0.77190 2.38% 67.0 478s
32228 3442 0.76747 60 103 0.75400 0.77155 2.33% 66.6 484s
33051 3426 infeasible 81 0.75400 0.77078 2.23% 66.1 490s
34138 3430 0.76426 50 155 0.75400 0.77036 2.17% 65.3 496s
34965 3494 cutoff 70 0.75400 0.77012 2.14% 65.0 501s
36046 3902 0.76956 63 113 0.75400 0.76956 2.06% 64.1 506s
37111 4283 0.76928 67 98 0.75400 0.76928 2.03% 63.3 510s
38990 4891 cutoff 54 0.75400 0.76868 1.95% 62.1 518s
39702 5114 cutoff 51 0.75400 0.76849 1.92% 61.7 521s
40273 5231 infeasible 76 0.75400 0.76828 1.90% 61.6 525s
41721 5628 cutoff 86 0.75400 0.76778 1.83% 60.8 532s
42301 5782 0.76671 63 117 0.75400 0.76765 1.81% 60.5 535s
43474 6038 0.76630 48 147 0.75400 0.76725 1.76% 60.0 542s
44007 6132 0.76703 76 112 0.75400 0.76708 1.74% 59.9 546s
44634 6296 cutoff 64 0.75400 0.76693 1.72% 59.6 550s
45670 6440 infeasible 86 0.75400 0.76660 1.67% 59.3 557s
46673 6618 0.75600 43 173 0.75400 0.76646 1.65% 59.0 563s
47138 6682 infeasible 42 0.75400 0.76627 1.63% 58.9 566s
48106 6825 cutoff 96 0.75400 0.76598 1.59% 58.7 571s
49035 6936 cutoff 73 0.75400 0.76567 1.55% 58.6 577s
49555 6990 cutoff 38 0.75400 0.76561 1.54% 58.5 580s
50345 7024 cutoff 88 0.75400 0.76531 1.50% 58.4 586s
51285 7112 0.76003 98 77 0.75400 0.76506 1.47% 58.2 591s
52400 7275 cutoff 86 0.75400 0.76485 1.44% 57.9 597s
52972 7340 0.76253 99 62 0.75400 0.76476 1.43% 57.7 600s
Cutting planes:
Gomory: 174
Cover: 7
Implied bound: 38
Projected implied bound: 69
MIR: 198
StrongCG: 2
Flow cover: 633
Inf proof: 129
Zero half: 3
Explored 53428 nodes (3082757 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.753996 0.753996
Time limit reached
Best objective 7.539956216125e-01, best bound 7.647193444897e-01, gap 1.4223%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9hdjz469.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsb1xhuow.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.746871
Presolve removed 746 rows and 483 columns
Presolve time: 0.04s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 9.673562e-01, 1202 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96736 0 108 0.74687 0.96736 29.5% - 0s
0 0 0.92360 0 124 0.74687 0.92360 23.7% - 0s
0 0 0.92265 0 118 0.74687 0.92265 23.5% - 0s
0 0 0.91786 0 129 0.74687 0.91786 22.9% - 0s
0 0 0.91687 0 125 0.74687 0.91687 22.8% - 0s
0 0 0.91593 0 128 0.74687 0.91593 22.6% - 0s
0 0 0.91582 0 126 0.74687 0.91582 22.6% - 0s
0 0 0.91506 0 128 0.74687 0.91506 22.5% - 0s
0 0 0.91506 0 128 0.74687 0.91506 22.5% - 0s
0 0 0.91489 0 131 0.74687 0.91489 22.5% - 0s
0 0 0.91488 0 131 0.74687 0.91488 22.5% - 0s
0 0 0.91488 0 131 0.74687 0.91488 22.5% - 0s
0 0 0.91488 0 119 0.74687 0.91488 22.5% - 0s
0 2 0.91488 0 119 0.74687 0.91488 22.5% - 0s
764 535 0.86324 16 124 0.74687 0.86324 15.6% 25.4 5s
1592 727 0.76858 50 116 0.74687 0.85904 15.0% 28.6 10s
2471 949 0.83278 28 103 0.74687 0.84671 13.4% 30.1 15s
3447 1240 0.79554 33 107 0.74687 0.83497 11.8% 33.6 20s
4369 1461 0.75067 34 114 0.74687 0.82621 10.6% 35.5 25s
5421 1666 0.75740 35 118 0.74687 0.81983 9.77% 36.7 30s
6327 1842 cutoff 34 0.74687 0.81340 8.91% 37.6 35s
7012 1888 0.79171 31 122 0.74687 0.80926 8.35% 39.1 40s
8158 2082 0.80111 35 96 0.74687 0.80387 7.63% 38.9 45s
9543 2382 cutoff 55 0.74687 0.79802 6.85% 38.8 50s
10771 2609 infeasible 42 0.74687 0.79396 6.31% 38.2 55s
12232 3002 0.76691 53 107 0.74687 0.79150 5.98% 37.2 60s
H13247 3256 0.7468707 0.78965 5.73% 36.8 63s
13264 3240 0.75067 52 112 0.74687 0.78959 5.72% 36.8 65s
14384 3349 0.75406 63 106 0.74687 0.78777 5.48% 36.5 70s
15684 3539 0.76812 55 106 0.74687 0.78632 5.28% 36.5 75s
17012 3850 0.75136 56 120 0.74687 0.78478 5.08% 36.2 80s
18239 4114 0.75296 74 92 0.74687 0.78396 4.97% 35.8 86s
19832 4500 cutoff 50 0.74687 0.78317 4.86% 34.9 91s
20806 4709 cutoff 42 0.74687 0.78216 4.73% 34.5 109s
21245 4803 cutoff 60 0.74687 0.78177 4.67% 34.4 110s
22487 5043 cutoff 40 0.74687 0.78082 4.55% 34.6 116s
23398 5135 cutoff 56 0.74687 0.78027 4.47% 34.9 120s
24392 5335 0.76027 53 112 0.74687 0.77936 4.35% 35.0 125s
25458 5667 0.75074 54 123 0.74687 0.77876 4.27% 35.0 130s
26770 5862 cutoff 96 0.74687 0.77776 4.14% 35.3 136s
27866 6088 0.76749 40 131 0.74687 0.77724 4.07% 35.4 141s
28880 6269 0.77214 57 102 0.74687 0.77629 3.94% 35.7 145s
29849 6340 0.75474 56 118 0.74687 0.77562 3.85% 36.0 151s
30613 6431 0.76709 59 107 0.74687 0.77521 3.79% 36.0 155s
31653 6562 0.75278 49 136 0.74687 0.77451 3.70% 36.2 160s
32770 6627 0.75536 50 112 0.74687 0.77378 3.60% 36.4 166s
33946 6799 0.77183 57 116 0.74687 0.77302 3.50% 36.4 171s
35055 6927 cutoff 44 0.74687 0.77256 3.44% 36.6 176s
35808 7028 cutoff 45 0.74687 0.77222 3.39% 36.7 180s
37024 7246 0.75561 48 137 0.74687 0.77177 3.33% 36.7 185s
38246 7382 0.75152 44 130 0.74687 0.77105 3.24% 36.8 191s
39574 7676 0.75613 71 133 0.74687 0.77058 3.17% 36.7 196s
40362 7734 0.76534 41 127 0.74687 0.77021 3.12% 36.7 200s
41628 7937 0.76122 80 108 0.74687 0.76985 3.08% 36.7 206s
42914 8170 0.75366 45 118 0.74687 0.76939 3.02% 36.7 213s
43195 8164 0.75055 47 116 0.74687 0.76929 3.00% 36.7 215s
44575 8409 cutoff 63 0.74687 0.76889 2.95% 36.6 220s
45815 8557 0.75943 46 119 0.74687 0.76841 2.88% 36.6 226s
46664 8645 0.75183 66 131 0.74687 0.76801 2.83% 36.7 230s
47964 8827 cutoff 52 0.74687 0.76757 2.77% 36.7 235s
49252 8984 cutoff 50 0.74687 0.76712 2.71% 36.7 241s
50221 9171 0.76364 47 138 0.74687 0.76689 2.68% 36.6 245s
51659 9459 0.76425 53 118 0.74687 0.76648 2.63% 36.5 250s
52987 9617 0.75708 41 135 0.74687 0.76617 2.58% 36.4 256s
54417 9824 cutoff 38 0.74687 0.76579 2.53% 36.3 261s
55745 10047 cutoff 58 0.74687 0.76546 2.49% 36.2 267s
56123 10016 0.74926 41 127 0.74687 0.76534 2.47% 36.3 270s
57441 10114 0.75235 75 101 0.74687 0.76505 2.43% 36.2 276s
58764 10259 0.75893 63 125 0.74687 0.76471 2.39% 36.1 281s
60004 10401 cutoff 53 0.74687 0.76440 2.35% 36.1 286s
60957 10551 cutoff 58 0.74687 0.76428 2.33% 36.0 290s
62413 10773 cutoff 123 0.74687 0.76401 2.30% 35.9 296s
63324 11021 0.74747 94 93 0.74687 0.76382 2.27% 35.8 300s
64525 11073 cutoff 48 0.74687 0.76354 2.23% 35.9 305s
65862 11261 cutoff 45 0.74687 0.76328 2.20% 35.8 310s
67397 11514 0.74996 66 112 0.74687 0.76299 2.16% 35.7 315s
68794 11714 0.75131 55 124 0.74687 0.76270 2.12% 35.6 320s
69921 11891 0.75471 95 109 0.74687 0.76251 2.09% 35.5 326s
71375 12040 0.75087 71 112 0.74687 0.76224 2.06% 35.4 331s
72597 12090 0.75931 45 137 0.74687 0.76195 2.02% 35.4 336s
73763 12089 cutoff 75 0.74687 0.76171 1.99% 35.4 341s
75024 12123 0.74933 107 86 0.74687 0.76142 1.95% 35.4 346s
75852 12194 0.74821 80 120 0.74687 0.76130 1.93% 35.4 351s
77058 12252 0.75987 77 119 0.74687 0.76103 1.90% 35.3 356s
78413 12371 0.75153 60 133 0.74687 0.76079 1.86% 35.3 361s
79886 12523 0.74869 86 118 0.74687 0.76053 1.83% 35.2 366s
81180 12606 cutoff 46 0.74687 0.76029 1.80% 35.1 371s
82404 12663 infeasible 48 0.74687 0.76004 1.76% 35.0 375s
83803 12762 0.75904 74 98 0.74687 0.75982 1.73% 35.0 381s
85185 12857 cutoff 71 0.74687 0.75961 1.71% 34.9 386s
86352 12903 infeasible 65 0.74687 0.75943 1.68% 34.9 391s
87684 13013 0.75919 78 122 0.74687 0.75926 1.66% 34.8 395s
88869 13010 0.75822 72 111 0.74687 0.75902 1.63% 34.8 400s
90200 13107 cutoff 95 0.74687 0.75884 1.60% 34.8 405s
91934 13157 0.75050 100 100 0.74687 0.75854 1.56% 34.7 411s
93187 13236 0.75840 92 94 0.74687 0.75840 1.54% 34.7 418s
93791 13212 cutoff 127 0.74687 0.75833 1.53% 34.6 421s
95048 13239 0.75137 90 100 0.74687 0.75811 1.50% 34.6 426s
96394 13330 0.74859 69 104 0.74687 0.75792 1.48% 34.5 430s
97834 13231 0.74753 97 108 0.74687 0.75770 1.45% 34.5 436s
99187 13300 0.75172 126 67 0.74687 0.75757 1.43% 34.4 441s
100541 13367 0.75577 64 113 0.74687 0.75734 1.40% 34.3 446s
101749 13354 cutoff 109 0.74687 0.75718 1.38% 34.3 450s
103033 13411 0.75014 99 115 0.74687 0.75700 1.36% 34.2 455s
104367 13275 cutoff 138 0.74687 0.75675 1.32% 34.2 461s
105398 13173 0.75260 73 108 0.74687 0.75657 1.30% 34.2 465s
106541 13144 cutoff 83 0.74687 0.75640 1.28% 34.2 471s
107789 13167 0.75620 91 85 0.74687 0.75624 1.25% 34.1 475s
109530 13227 cutoff 48 0.74687 0.75602 1.23% 34.0 481s
110838 13208 0.75311 116 68 0.74687 0.75587 1.20% 33.9 485s
111822 13145 0.75573 91 110 0.74687 0.75575 1.19% 33.9 490s
112895 13130 cutoff 66 0.74687 0.75560 1.17% 33.9 495s
114435 13053 cutoff 81 0.74687 0.75541 1.14% 33.9 501s
115532 12996 0.75514 117 71 0.74687 0.75528 1.13% 33.8 505s
117086 12999 0.75040 103 80 0.74687 0.75511 1.10% 33.8 511s
118353 13025 cutoff 86 0.74687 0.75498 1.09% 33.7 515s
H119339 13143 0.7468707 0.75489 1.07% 33.6 519s
119628 13138 0.75227 47 148 0.74687 0.75489 1.07% 33.6 521s
120900 13235 infeasible 76 0.74687 0.75473 1.05% 33.5 526s
122041 13184 0.75212 110 81 0.74687 0.75460 1.03% 33.4 530s
123976 13296 cutoff 101 0.74687 0.75443 1.01% 33.3 536s
125177 13341 cutoff 100 0.74687 0.75435 1.00% 33.2 541s
Cutting planes:
Gomory: 148
Cover: 5
Implied bound: 80
Projected implied bound: 49
Clique: 1
MIR: 33
Flow cover: 133
GUB cover: 1
Inf proof: 362
Explored 125636 nodes (4165238 simplex iterations) in 541.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.746871 0.746871 0.746871
Optimal solution found (tolerance 1.00e-02)
Best objective 7.468707467811e-01, best bound 7.542940388972e-01, gap 0.9939%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp98stmbjc.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdo6q393f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.733213
Presolve removed 760 rows and 492 columns
Presolve time: 0.04s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 9.475971e-01, 1164 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94760 0 108 0.73321 0.94760 29.2% - 0s
0 0 0.90457 0 122 0.73321 0.90457 23.4% - 0s
0 0 0.90360 0 118 0.73321 0.90360 23.2% - 0s
0 0 0.89846 0 125 0.73321 0.89846 22.5% - 0s
0 0 0.89811 0 124 0.73321 0.89811 22.5% - 0s
0 0 0.89686 0 128 0.73321 0.89686 22.3% - 0s
0 0 0.89685 0 128 0.73321 0.89685 22.3% - 0s
0 0 0.89637 0 122 0.73321 0.89637 22.3% - 0s
0 0 0.89637 0 123 0.73321 0.89637 22.3% - 0s
0 0 0.89623 0 124 0.73321 0.89623 22.2% - 0s
0 0 0.89623 0 124 0.73321 0.89623 22.2% - 0s
0 0 0.89623 0 124 0.73321 0.89623 22.2% - 0s
0 0 0.89623 0 114 0.73321 0.89623 22.2% - 0s
0 2 0.89623 0 114 0.73321 0.89623 22.2% - 0s
747 533 0.78859 19 128 0.73321 0.84563 15.3% 25.9 5s
1360 637 0.79400 24 135 0.73321 0.83684 14.1% 38.0 10s
H 1846 566 0.7332135 0.82065 11.9% 40.9 13s
2126 597 0.73534 26 124 0.73321 0.81598 11.3% 40.5 15s
2967 678 cutoff 25 0.73321 0.80557 9.87% 40.7 20s
4270 963 0.74723 31 123 0.73321 0.79135 7.93% 40.1 25s
5585 1384 0.76565 37 110 0.73321 0.78398 6.92% 38.7 31s
6581 1703 0.77272 33 119 0.73321 0.77987 6.36% 37.4 35s
8171 2198 0.74827 37 125 0.73321 0.77623 5.87% 35.2 40s
9545 2455 0.76575 47 125 0.73321 0.77243 5.35% 34.5 45s
11589 3124 0.76153 77 81 0.73321 0.77000 5.02% 33.2 50s
13196 3659 0.74661 42 110 0.73321 0.76815 4.76% 32.0 55s
14887 4164 cutoff 46 0.73321 0.76635 4.52% 31.2 60s
16711 4672 0.73578 58 128 0.73321 0.76518 4.36% 30.7 65s
18302 5019 0.74297 38 121 0.73321 0.76375 4.16% 30.5 70s
19773 5178 0.75616 48 121 0.73321 0.76254 4.00% 30.7 75s
20629 5336 0.74687 59 114 0.73321 0.76176 3.89% 30.7 93s
20636 5341 0.74774 28 161 0.73321 0.76176 3.89% 30.7 96s
20643 5345 0.75394 59 194 0.73321 0.76176 3.89% 30.7 100s
20648 5349 0.75712 59 179 0.73321 0.76176 3.89% 30.7 105s
20653 5352 0.74991 47 177 0.73321 0.76176 3.89% 30.7 110s
20658 5355 0.73708 71 196 0.73321 0.76176 3.89% 30.7 115s
20662 5358 0.75040 47 205 0.73321 0.76176 3.89% 30.7 120s
20667 5361 0.75592 38 210 0.73321 0.76176 3.89% 30.7 125s
20672 5365 0.74545 46 221 0.73321 0.76176 3.89% 30.7 130s
20677 5368 0.75928 39 221 0.73321 0.76176 3.89% 30.7 135s
20682 5371 0.73919 46 225 0.73321 0.76176 3.89% 30.7 140s
20686 5374 0.76084 40 217 0.73321 0.76176 3.89% 30.6 145s
20691 5377 0.74568 44 233 0.73321 0.76176 3.89% 30.6 150s
20696 5381 0.74026 40 229 0.73321 0.76176 3.89% 30.6 155s
20700 5383 0.75727 87 223 0.73321 0.76176 3.89% 30.6 160s
20705 5387 0.75955 43 222 0.73321 0.76176 3.89% 30.6 165s
20710 5390 0.74986 45 224 0.73321 0.76176 3.89% 30.6 170s
20715 5393 0.74841 42 234 0.73321 0.76176 3.89% 30.6 175s
20720 5397 0.74441 43 232 0.73321 0.76176 3.89% 30.6 182s
20723 5401 0.76176 25 209 0.73321 0.76176 3.89% 31.5 189s
20725 5400 0.76176 26 207 0.73321 0.76176 3.89% 31.5 194s
20728 5398 infeasible 27 0.73321 0.76176 3.89% 31.5 200s
20733 5398 0.76176 29 214 0.73321 0.76176 3.89% 31.6 205s
20752 5407 0.76176 33 203 0.73321 0.76176 3.89% 31.8 210s
20807 5419 0.76037 40 193 0.73321 0.76176 3.89% 32.0 215s
21046 5469 0.76176 48 195 0.73321 0.76176 3.89% 32.6 220s
21255 5482 cutoff 41 0.73321 0.76176 3.89% 33.7 225s
21392 5496 0.73669 56 183 0.73321 0.76176 3.89% 34.3 230s
21673 5515 0.73484 55 170 0.73321 0.76176 3.89% 35.4 235s
21984 5521 0.75635 40 226 0.73321 0.76176 3.89% 36.9 241s
22196 5544 cutoff 44 0.73321 0.76176 3.89% 37.8 245s
22550 5539 cutoff 42 0.73321 0.76176 3.89% 39.1 251s
22831 5564 0.73550 49 167 0.73321 0.76176 3.89% 40.3 256s
23052 5574 0.74593 42 215 0.73321 0.76176 3.89% 41.3 260s
23364 5540 0.74336 38 201 0.73321 0.76176 3.89% 42.5 266s
23648 5551 0.73615 51 194 0.73321 0.76176 3.89% 43.5 271s
H23737 5263 0.7332135 0.76176 3.89% 44.0 274s
23752 5247 0.73519 46 177 0.73321 0.76176 3.89% 44.1 277s
23916 5253 0.75828 50 186 0.73321 0.76176 3.89% 44.6 280s
24230 5222 0.75320 55 151 0.73321 0.76176 3.89% 45.7 285s
24612 5272 0.73607 68 149 0.73321 0.76176 3.89% 46.9 291s
24987 5327 0.74540 50 179 0.73321 0.76176 3.89% 48.0 297s
25145 5326 cutoff 68 0.73321 0.76176 3.89% 48.7 300s
25484 5335 0.75843 41 212 0.73321 0.76176 3.89% 49.7 307s
25747 5343 0.74906 43 216 0.73321 0.76176 3.89% 50.4 312s
25896 5296 infeasible 50 0.73321 0.76176 3.89% 51.1 316s
26254 5267 cutoff 43 0.73321 0.76135 3.84% 52.6 323s
26551 5305 0.74282 100 83 0.73321 0.76108 3.80% 53.3 328s
H26639 5057 0.7332135 0.76108 3.80% 53.4 328s
26733 5032 0.73446 41 198 0.73321 0.76087 3.77% 53.9 332s
26955 5018 infeasible 42 0.73321 0.76069 3.75% 54.7 337s
27176 4984 0.73600 45 197 0.73321 0.76028 3.69% 55.7 341s
27475 4986 0.75601 41 225 0.73321 0.75987 3.64% 56.5 346s
27733 4957 0.74983 46 188 0.73321 0.75976 3.62% 57.5 351s
28058 4959 0.74357 49 191 0.73321 0.75921 3.55% 58.4 357s
H28079 4707 0.7332135 0.75921 3.55% 58.5 357s
28164 4682 0.74707 39 200 0.73321 0.75910 3.53% 58.8 363s
28611 4676 0.75434 49 154 0.73321 0.75874 3.48% 59.6 369s
29044 4686 cutoff 41 0.73321 0.75843 3.44% 60.3 375s
29462 4703 0.74669 47 163 0.73321 0.75804 3.39% 61.1 381s
29846 4680 cutoff 45 0.73321 0.75773 3.34% 61.8 387s
30205 4618 0.73886 51 191 0.73321 0.75719 3.27% 62.9 393s
30542 4538 0.75004 55 158 0.73321 0.75696 3.24% 64.1 399s
30831 4501 0.74936 42 192 0.73321 0.75665 3.20% 65.0 407s
31121 4440 0.74242 42 187 0.73321 0.75626 3.14% 65.7 414s
31462 4412 0.74713 43 204 0.73321 0.75605 3.12% 66.9 420s
31681 4331 0.74284 57 166 0.73321 0.75587 3.09% 67.8 426s
32057 4236 infeasible 54 0.73321 0.75587 3.09% 69.0 433s
32420 4194 0.73561 50 157 0.73321 0.75506 2.98% 70.0 440s
32798 4105 0.74508 53 133 0.73321 0.75468 2.93% 70.8 446s
33253 4050 0.75138 61 147 0.73321 0.75427 2.87% 71.8 453s
33605 4014 cutoff 47 0.73321 0.75398 2.83% 72.7 459s
34041 3929 cutoff 55 0.73321 0.75375 2.80% 73.6 468s
34494 3856 0.74405 43 205 0.73321 0.75330 2.74% 74.4 475s
34944 3918 0.74476 51 192 0.73321 0.75296 2.69% 75.2 481s
35337 3987 cutoff 58 0.73321 0.75276 2.67% 75.6 488s
35930 4106 0.73612 49 173 0.73321 0.75221 2.59% 76.1 494s
36439 4259 cutoff 60 0.73321 0.75193 2.55% 76.7 501s
36792 4333 0.74149 52 186 0.73321 0.75180 2.54% 76.8 507s
37469 4564 0.74312 64 145 0.73321 0.75144 2.49% 77.0 514s
38085 4758 cutoff 56 0.73321 0.75114 2.44% 77.3 521s
38691 4901 0.75062 60 125 0.73321 0.75083 2.40% 77.7 527s
39218 5030 0.75064 63 154 0.73321 0.75064 2.38% 78.0 533s
39722 5101 infeasible 46 0.73321 0.75064 2.38% 78.4 539s
40082 5125 0.73537 45 185 0.73321 0.74988 2.27% 79.1 546s
40513 5161 0.73930 45 207 0.73321 0.74957 2.23% 79.8 552s
40969 5255 cutoff 59 0.73321 0.74932 2.20% 80.3 559s
41124 5216 0.74452 51 136 0.73321 0.74925 2.19% 80.5 565s
41601 5306 cutoff 88 0.73321 0.74909 2.16% 80.9 571s
42167 5424 0.74125 58 150 0.73321 0.74904 2.16% 81.1 577s
42817 5612 0.73765 56 157 0.73321 0.74895 2.15% 81.2 583s
43322 5715 infeasible 46 0.73321 0.74840 2.07% 81.4 589s
44060 6009 0.73421 49 179 0.73321 0.74822 2.05% 81.2 595s
44474 6046 0.74403 76 108 0.73321 0.74798 2.01% 81.6 600s
Cutting planes:
Gomory: 220
Cover: 18
Implied bound: 38
Projected implied bound: 89
MIR: 203
StrongCG: 2
Flow cover: 719
Inf proof: 128
Zero half: 2
Explored 44893 nodes (3672746 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.733213 0.733213 0.733213 ... 0.733213
Time limit reached
Best objective 7.332134644405e-01, best bound 7.477647540866e-01, gap 1.9846%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmps0xw8a.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbauttz60.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.729309
Presolve removed 774 rows and 501 columns
Presolve time: 0.04s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 9.401937e-01, 1179 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94019 0 111 0.72931 0.94019 28.9% - 0s
0 0 0.90323 0 111 0.72931 0.90323 23.8% - 0s
0 0 0.90322 0 111 0.72931 0.90322 23.8% - 0s
0 0 0.89177 0 141 0.72931 0.89177 22.3% - 0s
0 0 0.89077 0 146 0.72931 0.89077 22.1% - 0s
0 0 0.88949 0 155 0.72931 0.88949 22.0% - 0s
0 0 0.88940 0 156 0.72931 0.88940 22.0% - 0s
0 0 0.88930 0 156 0.72931 0.88930 21.9% - 0s
0 0 0.88926 0 156 0.72931 0.88926 21.9% - 0s
0 0 0.88898 0 151 0.72931 0.88898 21.9% - 0s
0 0 0.88895 0 154 0.72931 0.88895 21.9% - 0s
0 0 0.88893 0 154 0.72931 0.88893 21.9% - 0s
0 0 0.88892 0 155 0.72931 0.88892 21.9% - 0s
0 0 0.88890 0 156 0.72931 0.88890 21.9% - 0s
0 0 0.88890 0 139 0.72931 0.88890 21.9% - 0s
0 2 0.88890 0 139 0.72931 0.88890 21.9% - 0s
749 500 0.74199 40 127 0.72931 0.84303 15.6% 27.1 5s
1191 609 infeasible 57 0.72931 0.84303 15.6% 41.3 10s
H 1364 620 0.7293095 0.84303 15.6% 42.6 11s
2079 675 0.78450 26 148 0.72931 0.83085 13.9% 41.1 15s
H 2240 688 0.7293095 0.82943 13.7% 42.1 16s
2880 942 0.79281 31 128 0.72931 0.81861 12.2% 42.9 20s
3746 1246 0.76427 42 116 0.72931 0.80526 10.4% 42.6 25s
4740 1543 cutoff 37 0.72931 0.79837 9.47% 42.3 30s
5966 1877 0.77423 36 120 0.72931 0.79325 8.77% 41.6 35s
H 6551 1994 0.7293095 0.79120 8.49% 42.1 37s
7204 2109 0.74359 45 125 0.72931 0.78796 8.04% 42.3 41s
7700 2185 cutoff 42 0.72931 0.78666 7.86% 42.3 45s
8986 2383 0.74369 40 103 0.72931 0.78302 7.36% 41.9 50s
10075 2595 cutoff 47 0.72931 0.78084 7.07% 41.6 55s
11340 2797 0.76708 39 104 0.72931 0.77813 6.69% 41.3 60s
12612 2991 cutoff 35 0.72931 0.77507 6.27% 41.6 65s
13860 3216 0.74174 39 127 0.72931 0.77291 5.98% 41.5 72s
14282 3242 0.74401 54 117 0.72931 0.77111 5.73% 41.4 75s
15627 3466 0.74023 46 121 0.72931 0.76912 5.46% 41.2 80s
17071 3725 cutoff 45 0.72931 0.76739 5.22% 40.7 85s
18963 4306 0.74732 50 119 0.72931 0.76549 4.96% 39.6 90s
20090 4613 0.74882 46 138 0.72931 0.76470 4.85% 39.1 95s
20899 4714 cutoff 47 0.72931 0.76367 4.71% 39.0 117s
21866 5039 cutoff 37 0.72931 0.76305 4.63% 38.6 120s
23173 5330 cutoff 48 0.72931 0.76206 4.49% 39.0 126s
24129 5506 0.74482 40 135 0.72931 0.76130 4.39% 39.5 130s
25090 5675 0.75584 49 137 0.72931 0.76061 4.29% 39.8 135s
25989 5864 0.75146 54 126 0.72931 0.76014 4.23% 40.3 140s
26991 6054 infeasible 50 0.72931 0.75970 4.17% 40.6 145s
27860 6214 0.73333 105 102 0.72931 0.75906 4.08% 41.2 150s
28957 6478 0.75504 87 113 0.72931 0.75860 4.02% 41.3 155s
30146 6790 cutoff 41 0.72931 0.75803 3.94% 41.3 160s
31452 7109 0.74094 92 101 0.72931 0.75757 3.87% 41.3 166s
32676 7346 0.75474 61 128 0.72931 0.75710 3.81% 41.4 170s
33750 7584 0.74775 109 99 0.72931 0.75659 3.74% 41.6 175s
34764 7762 0.75514 92 119 0.72931 0.75607 3.67% 42.0 181s
35698 7818 0.73956 51 146 0.72931 0.75553 3.60% 42.4 186s
36655 7904 cutoff 36 0.72931 0.75505 3.53% 42.8 191s
37303 7973 cutoff 47 0.72931 0.75472 3.48% 43.2 195s
38490 8169 0.73247 40 132 0.72931 0.75432 3.43% 43.3 200s
39669 8325 cutoff 51 0.72931 0.75387 3.37% 43.6 206s
40952 8596 0.74879 85 119 0.72931 0.75346 3.31% 43.6 211s
41709 8688 0.73311 65 113 0.72931 0.75321 3.28% 43.7 215s
42721 8772 0.73247 51 123 0.72931 0.75273 3.21% 44.2 221s
43868 8952 0.74956 92 111 0.72931 0.75234 3.16% 44.4 226s
44842 9127 cutoff 74 0.72931 0.75201 3.11% 44.3 230s
45890 9131 0.73305 87 124 0.72931 0.75162 3.06% 44.6 236s
46729 9195 0.74489 47 149 0.72931 0.75139 3.03% 44.7 240s
48175 9462 0.73094 56 134 0.72931 0.75087 2.96% 44.6 246s
49216 9681 0.74935 90 113 0.72931 0.75060 2.92% 44.4 250s
50620 9871 0.74945 99 89 0.72931 0.75023 2.87% 44.4 255s
51915 10098 0.73189 112 102 0.72931 0.74978 2.81% 44.4 261s
52516 10155 0.74536 79 122 0.72931 0.74964 2.79% 44.4 265s
54076 10471 0.73703 49 146 0.72931 0.74924 2.73% 44.1 270s
55455 10667 infeasible 102 0.72931 0.74895 2.69% 44.0 276s
56414 10801 0.74245 86 111 0.72931 0.74870 2.66% 43.9 280s
57804 11030 0.74631 101 88 0.72931 0.74843 2.62% 43.8 285s
59049 11135 infeasible 98 0.72931 0.74808 2.57% 43.8 290s
60355 11290 cutoff 100 0.72931 0.74778 2.53% 43.7 295s
61726 11489 0.73992 128 74 0.72931 0.74751 2.50% 43.6 301s
63318 11830 cutoff 56 0.72931 0.74726 2.46% 43.4 306s
64096 11900 0.73071 84 93 0.72931 0.74709 2.44% 43.3 310s
65360 12147 cutoff 112 0.72931 0.74688 2.41% 43.2 315s
66900 12388 cutoff 100 0.72931 0.74663 2.37% 42.9 320s
68239 12463 0.74507 100 83 0.72931 0.74636 2.34% 42.9 325s
69526 12628 0.73526 113 87 0.72931 0.74612 2.30% 42.8 330s
70691 12844 cutoff 54 0.72931 0.74596 2.28% 42.6 336s
72188 13103 0.73627 69 124 0.72931 0.74577 2.26% 42.4 341s
73187 13277 cutoff 47 0.72931 0.74564 2.24% 42.3 345s
74557 13479 0.74010 89 110 0.72931 0.74543 2.21% 42.2 350s
76106 13785 cutoff 113 0.72931 0.74526 2.19% 42.0 355s
77431 13958 cutoff 51 0.72931 0.74510 2.17% 41.9 360s
79467 14227 infeasible 68 0.72931 0.74484 2.13% 41.6 366s
80712 14344 0.73406 41 137 0.72931 0.74464 2.10% 41.6 371s
82222 14549 cutoff 47 0.72931 0.74450 2.08% 41.4 376s
83486 14564 cutoff 91 0.72931 0.74431 2.06% 41.4 381s
84996 14825 0.73886 64 123 0.72931 0.74417 2.04% 41.2 385s
86250 14882 infeasible 85 0.72931 0.74401 2.02% 41.2 390s
86764 14895 cutoff 51 0.72931 0.74393 2.00% 41.2 395s
87995 15005 cutoff 46 0.72931 0.74374 1.98% 41.1 400s
89845 15114 0.74116 105 102 0.72931 0.74346 1.94% 41.0 406s
91262 15276 0.73845 114 99 0.72931 0.74326 1.91% 40.9 411s
92669 15415 0.73797 104 111 0.72931 0.74309 1.89% 40.8 416s
93953 15424 0.74188 65 127 0.72931 0.74290 1.86% 40.8 420s
95282 15485 cutoff 47 0.72931 0.74272 1.84% 40.8 425s
96662 15553 cutoff 76 0.72931 0.74255 1.82% 40.7 430s
97979 15601 cutoff 117 0.72931 0.74239 1.79% 40.7 435s
99478 15703 0.73140 72 105 0.72931 0.74221 1.77% 40.5 440s
101188 15755 0.73526 94 122 0.72931 0.74196 1.73% 40.5 446s
102617 15907 infeasible 75 0.72931 0.74179 1.71% 40.4 451s
103636 16073 infeasible 48 0.72931 0.74169 1.70% 40.3 457s
104194 16062 0.73680 81 103 0.72931 0.74160 1.69% 40.3 460s
105683 16187 0.73698 93 124 0.72931 0.74148 1.67% 40.2 465s
107159 16335 0.73872 80 105 0.72931 0.74130 1.64% 40.1 470s
108699 16506 0.73412 56 146 0.72931 0.74116 1.62% 40.0 475s
110151 16632 0.73639 102 118 0.72931 0.74103 1.61% 39.9 480s
111487 16670 cutoff 99 0.72931 0.74086 1.58% 39.9 485s
112923 16750 0.73887 126 98 0.72931 0.74072 1.56% 39.8 490s
114201 16749 0.73663 51 147 0.72931 0.74055 1.54% 39.8 495s
115673 16929 0.74041 91 130 0.72931 0.74041 1.52% 39.7 500s
117065 16952 0.73182 83 99 0.72931 0.74024 1.50% 39.6 505s
118526 17077 0.73528 111 107 0.72931 0.74010 1.48% 39.6 510s
120396 17172 cutoff 76 0.72931 0.73993 1.46% 39.5 516s
121887 17261 0.73388 99 121 0.72931 0.73982 1.44% 39.4 521s
123326 17380 0.73838 108 83 0.72931 0.73970 1.43% 39.3 526s
124627 17408 0.73619 70 131 0.72931 0.73953 1.40% 39.2 530s
126156 17498 cutoff 111 0.72931 0.73943 1.39% 39.1 535s
128013 17631 cutoff 89 0.72931 0.73929 1.37% 39.0 540s
129250 17635 0.73875 131 80 0.72931 0.73917 1.35% 38.9 545s
130725 17728 0.73898 99 79 0.72931 0.73908 1.34% 38.8 550s
132202 17830 infeasible 89 0.72931 0.73899 1.33% 38.7 555s
134066 17801 0.73820 118 81 0.72931 0.73884 1.31% 38.6 561s
135390 17826 0.73466 97 90 0.72931 0.73874 1.29% 38.5 565s
136568 17864 cutoff 120 0.72931 0.73867 1.28% 38.5 570s
138323 17840 cutoff 73 0.72931 0.73853 1.26% 38.4 576s
139659 17804 0.73745 109 106 0.72931 0.73844 1.25% 38.3 581s
141055 17786 0.73533 133 69 0.72931 0.73835 1.24% 38.2 585s
142874 17805 0.73360 105 113 0.72931 0.73823 1.22% 38.1 591s
144306 17894 0.73506 83 104 0.72931 0.73815 1.21% 38.1 596s
144978 17887 cutoff 102 0.72931 0.73808 1.20% 38.1 600s
Cutting planes:
Gomory: 137
Cover: 3
Implied bound: 73
Projected implied bound: 63
Clique: 2
MIR: 36
Flow cover: 204
Inf proof: 387
Explored 145037 nodes (5521727 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.72931 0.729309 0.729309 0.729309
Time limit reached
Warning: max constraint violation (4.6750e-06) exceeds tolerance
Best objective 7.293095040951e-01, best bound 7.380695084656e-01, gap 1.2011%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_7s__d7q.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzywhu49c.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.723991
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 9.327328e-01, 1203 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93273 0 113 0.72399 0.93273 28.8% - 0s
0 0 0.89125 0 128 0.72399 0.89125 23.1% - 0s
0 0 0.89124 0 130 0.72399 0.89124 23.1% - 0s
0 0 0.88637 0 137 0.72399 0.88637 22.4% - 0s
0 0 0.88608 0 137 0.72399 0.88608 22.4% - 0s
0 0 0.88490 0 138 0.72399 0.88490 22.2% - 0s
0 0 0.88490 0 138 0.72399 0.88490 22.2% - 0s
0 0 0.88431 0 129 0.72399 0.88431 22.1% - 0s
0 0 0.88431 0 130 0.72399 0.88431 22.1% - 0s
0 0 0.88413 0 136 0.72399 0.88413 22.1% - 0s
0 0 0.88413 0 136 0.72399 0.88413 22.1% - 0s
0 0 0.88413 0 136 0.72399 0.88413 22.1% - 0s
0 0 0.88413 0 123 0.72399 0.88413 22.1% - 0s
0 2 0.88413 0 123 0.72399 0.88413 22.1% - 0s
737 523 0.81786 14 145 0.72399 0.83484 15.3% 25.2 5s
1093 600 cutoff 22 0.72399 0.83484 15.3% 36.7 10s
1585 623 0.75970 34 109 0.72399 0.82697 14.2% 45.0 15s
2413 616 0.78896 24 147 0.72399 0.80839 11.7% 48.8 20s
3669 1160 0.76260 31 132 0.72399 0.79479 9.78% 44.5 26s
4842 1697 0.74186 62 102 0.72399 0.78838 8.89% 40.7 30s
6404 2367 0.77466 33 112 0.72399 0.78227 8.05% 37.8 35s
7473 2604 cutoff 39 0.72399 0.77800 7.46% 37.5 40s
8278 2871 0.73489 48 110 0.72399 0.77583 7.16% 36.7 45s
9813 3186 infeasible 42 0.72399 0.77157 6.57% 35.7 50s
11025 3400 0.72938 40 112 0.72399 0.76874 6.18% 35.6 55s
12399 3618 0.73710 42 139 0.72399 0.76643 5.86% 35.3 60s
H12983 3774 0.7239914 0.76554 5.74% 35.0 61s
13868 3860 cutoff 38 0.72399 0.76416 5.55% 35.0 66s
15238 4070 0.73885 41 105 0.72399 0.76222 5.28% 34.7 71s
16506 4351 0.73994 54 119 0.72399 0.76063 5.06% 34.3 75s
18262 4650 0.73306 37 125 0.72399 0.75897 4.83% 34.1 81s
19616 4928 infeasible 51 0.72399 0.75788 4.68% 33.9 85s
20503 5012 infeasible 62 0.72399 0.75728 4.60% 33.8 106s
21430 5125 cutoff 39 0.72399 0.75616 4.44% 34.1 111s
22319 5236 cutoff 41 0.72399 0.75545 4.34% 34.7 115s
23475 5438 infeasible 43 0.72399 0.75466 4.24% 35.5 121s
24442 5628 cutoff 34 0.72399 0.75403 4.15% 35.8 126s
25660 5880 0.74345 49 145 0.72399 0.75334 4.05% 36.0 130s
26675 6073 0.72971 43 136 0.72399 0.75267 3.96% 36.4 135s
27690 6187 0.73734 138 54 0.72399 0.75205 3.88% 36.8 140s
28634 6241 0.73870 45 129 0.72399 0.75148 3.80% 37.4 145s
29517 6270 infeasible 93 0.72399 0.75083 3.71% 38.0 150s
30650 6398 0.74434 49 126 0.72399 0.75023 3.62% 38.2 155s
31815 6567 0.73859 133 76 0.72399 0.74947 3.52% 38.4 161s
33097 6772 0.73060 51 146 0.72399 0.74887 3.44% 38.4 166s
34294 6944 0.73426 48 129 0.72399 0.74822 3.35% 38.6 171s
35524 7106 0.72951 98 81 0.72399 0.74770 3.27% 38.7 176s
36352 7222 0.73131 54 132 0.72399 0.74730 3.22% 38.8 180s
37455 7321 0.72807 46 151 0.72399 0.74667 3.13% 39.0 185s
38898 7549 0.74273 66 105 0.72399 0.74598 3.04% 38.9 190s
40169 7745 infeasible 52 0.72399 0.74557 2.98% 38.9 196s
41695 8010 cutoff 53 0.72399 0.74506 2.91% 38.7 201s
42873 8126 0.72714 61 126 0.72399 0.74469 2.86% 38.8 206s
43738 8251 0.73524 71 142 0.72399 0.74437 2.82% 38.7 210s
45020 8388 0.72616 40 140 0.72399 0.74410 2.78% 38.7 215s
46357 8583 0.72648 82 117 0.72399 0.74388 2.75% 38.7 220s
47543 8693 0.74071 40 140 0.72399 0.74339 2.68% 38.8 226s
48693 8801 0.72693 82 107 0.72399 0.74312 2.64% 38.9 231s
49701 9032 cutoff 92 0.72399 0.74274 2.59% 38.7 237s
50494 9118 0.72785 77 114 0.72399 0.74261 2.57% 38.7 241s
51839 9330 cutoff 79 0.72399 0.74232 2.53% 38.7 246s
52700 9426 0.72867 117 74 0.72399 0.74208 2.50% 38.7 250s
53889 9540 0.73555 73 120 0.72399 0.74183 2.46% 38.7 256s
54768 9605 0.72895 98 94 0.72399 0.74160 2.43% 38.7 260s
56011 9768 0.74010 61 147 0.72399 0.74134 2.40% 38.7 265s
57199 9917 0.73867 119 90 0.72399 0.74109 2.36% 38.6 270s
58546 10140 infeasible 107 0.72399 0.74086 2.33% 38.5 276s
60360 10547 0.73170 101 96 0.72399 0.74061 2.30% 38.1 281s
61410 10741 infeasible 79 0.72399 0.74043 2.27% 38.0 285s
62884 10972 0.73851 107 75 0.72399 0.74023 2.24% 37.8 290s
64785 11416 0.73410 123 81 0.72399 0.73999 2.21% 37.4 295s
66181 11655 0.72543 73 121 0.72399 0.73979 2.18% 37.2 300s
68082 12011 cutoff 59 0.72399 0.73950 2.14% 37.0 306s
69641 12421 0.72444 105 71 0.72399 0.73933 2.12% 36.7 311s
71383 12865 infeasible 52 0.72399 0.73913 2.09% 36.4 315s
72439 13030 0.72629 69 126 0.72399 0.73905 2.08% 36.4 321s
73880 13259 0.73410 102 100 0.72399 0.73883 2.05% 36.2 325s
75156 13401 0.72958 143 72 0.72399 0.73867 2.03% 36.1 330s
76973 13579 cutoff 84 0.72399 0.73841 1.99% 36.0 336s
78190 13682 cutoff 81 0.72399 0.73824 1.97% 36.0 340s
79622 13821 infeasible 128 0.72399 0.73813 1.95% 35.9 345s
80907 13908 cutoff 117 0.72399 0.73791 1.92% 35.8 350s
82381 14114 cutoff 111 0.72399 0.73771 1.90% 35.7 355s
84176 14306 cutoff 69 0.72399 0.73750 1.87% 35.6 361s
85543 14431 cutoff 75 0.72399 0.73732 1.84% 35.5 367s
86509 14492 0.72731 113 92 0.72399 0.73721 1.83% 35.4 370s
88030 14652 cutoff 68 0.72399 0.73704 1.80% 35.3 375s
89851 14848 0.72897 60 128 0.72399 0.73685 1.78% 35.2 381s
91564 15106 infeasible 131 0.72399 0.73672 1.76% 35.0 385s
93281 15167 0.73642 103 84 0.72399 0.73647 1.72% 34.9 391s
94617 15247 0.72424 146 67 0.72399 0.73633 1.70% 34.9 396s
95644 15193 0.73578 131 72 0.72399 0.73617 1.68% 34.9 400s
97173 15390 0.73095 137 71 0.72399 0.73603 1.66% 34.8 405s
99015 15539 cutoff 61 0.72399 0.73581 1.63% 34.7 411s
100292 15708 cutoff 65 0.72399 0.73575 1.62% 34.6 416s
101764 15884 cutoff 85 0.72399 0.73553 1.59% 34.4 420s
103313 16089 cutoff 129 0.72399 0.73539 1.57% 34.3 425s
104752 16243 cutoff 139 0.72399 0.73524 1.55% 34.2 430s
106863 16518 cutoff 113 0.72399 0.73508 1.53% 34.1 436s
108101 16614 cutoff 38 0.72399 0.73495 1.51% 34.0 440s
109582 16780 0.72655 107 69 0.72399 0.73484 1.50% 33.9 445s
111043 16922 0.72405 121 87 0.72399 0.73471 1.48% 33.8 450s
112496 17050 cutoff 39 0.72399 0.73460 1.46% 33.7 455s
114295 17142 0.72614 63 122 0.72399 0.73448 1.45% 33.6 461s
115699 17272 cutoff 57 0.72399 0.73434 1.43% 33.5 466s
117065 17318 0.73186 56 145 0.72399 0.73424 1.42% 33.4 470s
118834 17441 0.73393 60 146 0.72399 0.73408 1.39% 33.4 476s
119986 17461 0.73379 98 96 0.72399 0.73401 1.38% 33.3 481s
121423 17561 infeasible 108 0.72399 0.73389 1.37% 33.2 485s
122739 17661 cutoff 104 0.72399 0.73378 1.35% 33.2 491s
123720 17641 0.73372 134 68 0.72399 0.73372 1.34% 33.1 495s
124433 17673 0.72899 88 115 0.72399 0.73366 1.34% 33.1 500s
126366 17743 cutoff 86 0.72399 0.73354 1.32% 33.0 506s
127991 17922 cutoff 61 0.72399 0.73346 1.31% 32.8 510s
129346 17949 infeasible 138 0.72399 0.73336 1.29% 32.8 515s
131408 18141 cutoff 126 0.72399 0.73326 1.28% 32.7 521s
132669 18188 0.73282 71 139 0.72399 0.73318 1.27% 32.6 525s
134074 18278 0.73305 102 105 0.72399 0.73308 1.25% 32.6 530s
135845 18273 0.72614 62 122 0.72399 0.73296 1.24% 32.5 536s
137239 18407 0.72433 110 72 0.72399 0.73290 1.23% 32.4 540s
138702 18449 cutoff 46 0.72399 0.73280 1.22% 32.3 545s
140433 18487 0.72779 111 71 0.72399 0.73267 1.20% 32.2 550s
141985 18610 cutoff 59 0.72399 0.73260 1.19% 32.1 555s
143179 18730 infeasible 107 0.72399 0.73254 1.18% 32.1 560s
145158 18853 0.72821 56 134 0.72399 0.73244 1.17% 32.0 566s
146137 18889 0.72976 45 173 0.72399 0.73238 1.16% 31.9 570s
148086 19027 cutoff 99 0.72399 0.73228 1.15% 31.8 576s
149248 18999 0.72656 146 64 0.72399 0.73221 1.14% 31.8 580s
150976 19252 0.72406 102 108 0.72399 0.73213 1.12% 31.7 585s
152295 19223 cutoff 77 0.72399 0.73205 1.11% 31.6 590s
154264 19324 0.73081 86 109 0.72399 0.73195 1.10% 31.6 595s
156173 19463 cutoff 54 0.72399 0.73185 1.09% 31.5 600s
Cutting planes:
Gomory: 152
Cover: 4
Implied bound: 79
Projected implied bound: 60
Clique: 3
MIR: 48
Flow cover: 168
Inf proof: 459
Explored 156354 nodes (4925596 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.723991 0.723991
Time limit reached
Best objective 7.239913825698e-01, best bound 7.318370607877e-01, gap 1.0837%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9aw9yinp.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7_cgtbyb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.71924
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 9.247603e-01, 1231 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92476 0 114 0.71924 0.92476 28.6% - 0s
0 0 0.88999 0 120 0.71924 0.88999 23.7% - 0s
0 0 0.88998 0 120 0.71924 0.88998 23.7% - 0s
0 0 0.88842 0 134 0.71924 0.88842 23.5% - 0s
0 0 0.88709 0 133 0.71924 0.88709 23.3% - 0s
0 0 0.88708 0 133 0.71924 0.88708 23.3% - 0s
0 0 0.88648 0 133 0.71924 0.88648 23.3% - 0s
0 0 0.88648 0 135 0.71924 0.88648 23.3% - 0s
0 0 0.88620 0 133 0.71924 0.88620 23.2% - 0s
0 0 0.88609 0 134 0.71924 0.88609 23.2% - 0s
0 0 0.88608 0 134 0.71924 0.88608 23.2% - 0s
0 0 0.88584 0 134 0.71924 0.88584 23.2% - 0s
0 0 0.88581 0 134 0.71924 0.88581 23.2% - 0s
0 0 0.88576 0 134 0.71924 0.88576 23.2% - 0s
0 0 0.88576 0 123 0.71924 0.88576 23.2% - 0s
0 2 0.88576 0 123 0.71924 0.88576 23.2% - 0s
756 539 0.73668 69 134 0.71924 0.83143 15.6% 26.3 5s
1165 664 0.74463 59 131 0.71924 0.82826 15.2% 36.4 10s
1872 792 0.76402 20 143 0.71924 0.81842 13.8% 40.6 15s
2749 961 infeasible 37 0.71924 0.80541 12.0% 43.4 20s
3739 1304 0.72595 45 138 0.71924 0.78892 9.69% 44.0 25s
4826 1550 cutoff 29 0.71924 0.78146 8.65% 44.2 30s
5808 1677 0.72590 34 124 0.71924 0.77634 7.94% 44.5 35s
6618 1806 0.74621 33 147 0.71924 0.77359 7.56% 44.2 40s
7641 1913 0.74612 35 121 0.71924 0.77022 7.09% 44.2 46s
8601 2008 0.75223 30 139 0.71924 0.76646 6.57% 44.1 50s
9640 2044 cutoff 42 0.71924 0.76237 6.00% 44.3 55s
10976 2145 cutoff 32 0.71924 0.75892 5.52% 43.7 61s
11926 2287 infeasible 36 0.71924 0.75687 5.23% 43.2 65s
H12934 2519 0.7192400 0.75537 5.02% 42.3 69s
13034 2526 cutoff 42 0.71924 0.75537 5.02% 42.2 71s
14114 2673 0.72866 54 135 0.71924 0.75381 4.81% 41.8 76s
15710 3002 0.73667 31 137 0.71924 0.75172 4.52% 40.8 81s
17054 3232 0.74254 37 129 0.71924 0.75025 4.31% 40.2 86s
18243 3529 0.74741 39 140 0.71924 0.74909 4.15% 39.3 90s
20635 4094 0.72921 27 136 0.71924 0.74731 3.90% 38.1 96s
21084 4216 0.73651 50 123 0.71924 0.74682 3.83% 37.9 117s
21092 4221 0.72960 44 203 0.71924 0.74682 3.83% 37.9 120s
21099 4226 0.72647 66 209 0.71924 0.74682 3.83% 37.9 125s
21104 4229 0.74206 76 220 0.71924 0.74682 3.83% 37.9 130s
21109 4233 0.72118 40 241 0.71924 0.74682 3.83% 37.9 135s
21115 4237 0.74287 61 248 0.71924 0.74682 3.83% 37.9 141s
21119 4239 0.72792 68 238 0.71924 0.74682 3.83% 37.8 145s
21124 4243 0.72850 52 244 0.71924 0.74682 3.83% 37.8 150s
21127 4245 0.72682 56 230 0.71924 0.74682 3.83% 37.8 155s
21132 4248 0.73198 46 265 0.71924 0.74682 3.83% 37.8 160s
21136 4251 0.72409 42 247 0.71924 0.74682 3.83% 37.8 165s
21140 4253 0.73073 36 243 0.71924 0.74682 3.83% 37.8 170s
21144 4256 0.73940 33 254 0.71924 0.74682 3.83% 37.8 176s
21148 4259 0.72519 97 243 0.71924 0.74682 3.83% 37.8 180s
21151 4261 0.73049 38 245 0.71924 0.74682 3.83% 37.8 187s
21153 4262 0.72838 43 240 0.71924 0.74682 3.83% 37.8 190s
21157 4265 0.74595 25 219 0.71924 0.74682 3.83% 37.8 195s
21164 4269 0.74633 37 237 0.71924 0.74682 3.83% 37.8 202s
21168 4272 0.73285 44 224 0.71924 0.74682 3.83% 37.8 206s
21172 4275 0.74513 35 238 0.71924 0.74682 3.83% 37.7 211s
21177 4278 0.73039 63 246 0.71924 0.74682 3.83% 37.7 215s
21182 4281 0.74194 45 252 0.71924 0.74682 3.83% 37.7 221s
21186 4284 0.72859 44 258 0.71924 0.74682 3.83% 37.7 225s
21189 4286 0.72564 45 250 0.71924 0.74682 3.83% 37.7 230s
21191 4290 0.74682 23 236 0.71924 0.74682 3.83% 38.8 236s
21193 4291 infeasible 24 0.71924 0.74682 3.83% 38.8 241s
21197 4289 0.74682 25 245 0.71924 0.74682 3.83% 38.8 247s
21213 4295 0.74682 29 219 0.71924 0.74682 3.83% 38.9 250s
21267 4321 0.74682 37 209 0.71924 0.74682 3.83% 39.2 255s
21392 4340 cutoff 57 0.71924 0.74682 3.83% 39.4 260s
21453 4363 0.74682 39 201 0.71924 0.74682 3.83% 39.7 265s
21693 4408 0.73071 45 184 0.71924 0.74682 3.83% 40.4 271s
21875 4419 0.74682 35 174 0.71924 0.74682 3.83% 41.3 275s
22054 4413 0.73687 48 198 0.71924 0.74682 3.83% 42.1 280s
22366 4436 0.74682 34 207 0.71924 0.74682 3.83% 43.3 285s
22679 4486 0.74682 39 211 0.71924 0.74682 3.83% 44.2 290s
22924 4511 0.74682 35 179 0.71924 0.74682 3.83% 45.1 295s
23111 4519 0.73339 47 182 0.71924 0.74682 3.83% 45.7 301s
23354 4536 0.73651 41 202 0.71924 0.74682 3.83% 46.8 306s
23504 4519 0.74682 42 218 0.71924 0.74682 3.83% 47.3 310s
23842 4513 0.74682 38 211 0.71924 0.74682 3.83% 48.6 316s
24044 4516 0.74346 40 193 0.71924 0.74682 3.83% 49.3 321s
24253 4498 0.72936 41 183 0.71924 0.74682 3.83% 50.3 326s
24470 4518 0.72370 59 180 0.71924 0.74682 3.83% 51.2 332s
24730 4521 cutoff 42 0.71924 0.74682 3.83% 52.3 337s
24875 4537 0.74682 37 185 0.71924 0.74682 3.83% 52.7 340s
25209 4576 cutoff 52 0.71924 0.74682 3.83% 53.8 347s
25359 4575 0.74031 35 224 0.71924 0.74682 3.83% 54.2 350s
25523 4581 0.72853 44 193 0.71924 0.74682 3.83% 55.0 355s
25758 4583 cutoff 38 0.71924 0.74682 3.83% 55.8 362s
25982 4601 0.74682 38 198 0.71924 0.74682 3.83% 56.4 366s
26161 4592 cutoff 50 0.71924 0.74682 3.83% 57.2 371s
26180 4562 0.73319 42 200 0.71924 0.74682 3.83% 57.2 375s
26645 4565 0.74027 44 193 0.71924 0.74682 3.83% 58.8 384s
26860 4532 cutoff 47 0.71924 0.74682 3.83% 59.4 389s
27161 4539 0.74538 37 206 0.71924 0.74682 3.83% 60.0 393s
27434 4525 0.73048 45 174 0.71924 0.74682 3.83% 60.8 398s
27742 4532 0.74682 37 204 0.71924 0.74682 3.83% 61.6 404s
28059 4562 0.74682 36 219 0.71924 0.74682 3.83% 62.4 409s
28363 4565 0.72733 65 162 0.71924 0.74682 3.83% 63.2 414s
28662 4541 0.72770 42 197 0.71924 0.74682 3.83% 64.1 423s
28787 4517 0.74602 38 205 0.71924 0.74682 3.83% 64.7 429s
29065 4483 0.74482 42 194 0.71924 0.74682 3.83% 65.3 434s
29388 4453 0.73866 55 168 0.71924 0.74682 3.83% 66.2 441s
29660 4442 cutoff 45 0.71924 0.74682 3.83% 67.1 447s
30014 4445 0.74392 40 190 0.71924 0.74682 3.83% 67.9 454s
30362 4409 0.74682 40 213 0.71924 0.74682 3.83% 69.0 461s
30710 4353 0.73774 43 202 0.71924 0.74682 3.83% 70.1 468s
31098 4340 0.74011 40 223 0.71924 0.74682 3.83% 71.2 474s
31513 4317 0.71980 39 173 0.71924 0.74682 3.83% 72.2 481s
31822 4295 infeasible 46 0.71924 0.74682 3.83% 73.1 489s
32210 4240 0.73043 43 184 0.71924 0.74682 3.83% 74.2 496s
32561 4180 0.74177 42 206 0.71924 0.74682 3.83% 75.4 503s
32877 4151 0.74520 40 219 0.71924 0.74682 3.83% 76.3 510s
33231 4105 0.72346 46 182 0.71924 0.74682 3.83% 77.3 518s
33577 4043 cutoff 44 0.71924 0.74682 3.83% 78.4 525s
33927 3995 cutoff 47 0.71924 0.74682 3.83% 79.5 532s
34280 4017 infeasible 43 0.71924 0.74682 3.83% 80.7 540s
34715 4127 cutoff 40 0.71924 0.74682 3.83% 81.6 547s
34988 4179 cutoff 37 0.71924 0.74682 3.83% 82.3 554s
35309 4181 0.73222 41 205 0.71924 0.74682 3.83% 83.6 561s
35697 4261 0.73208 44 217 0.71924 0.74682 3.83% 84.6 569s
36029 4339 cutoff 50 0.71924 0.74682 3.83% 85.3 576s
36354 4381 0.72533 40 206 0.71924 0.74682 3.83% 86.3 584s
36766 4469 cutoff 51 0.71924 0.74682 3.83% 87.2 591s
37133 4497 cutoff 42 0.71924 0.74682 3.83% 88.2 599s
37501 4589 0.74108 41 198 0.71924 0.74682 3.83% 89.2 600s
Cutting planes:
Gomory: 182
Cover: 10
Implied bound: 30
Projected implied bound: 44
MIR: 174
StrongCG: 2
Flow cover: 545
Inf proof: 122
Zero half: 2
Explored 37523 nodes (3349951 simplex iterations) in 600.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.71924 0.71924
Time limit reached
Best objective 7.192399757539e-01, best bound 7.468172467495e-01, gap 3.8342%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp91lmu4py.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi2o6z8v1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.706849
Presolve removed 816 rows and 528 columns
Presolve time: 0.04s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 9.075444e-01, 1284 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90754 0 117 0.70685 0.90754 28.4% - 0s
0 0 0.87601 0 128 0.70685 0.87601 23.9% - 0s
0 0 0.87600 0 128 0.70685 0.87600 23.9% - 0s
0 0 0.87378 0 138 0.70685 0.87378 23.6% - 0s
0 0 0.87378 0 138 0.70685 0.87378 23.6% - 0s
0 0 0.87227 0 133 0.70685 0.87227 23.4% - 0s
0 0 0.87227 0 133 0.70685 0.87227 23.4% - 0s
0 0 0.87183 0 137 0.70685 0.87183 23.3% - 0s
0 0 0.87179 0 140 0.70685 0.87179 23.3% - 0s
0 0 0.87173 0 139 0.70685 0.87173 23.3% - 0s
0 0 0.87173 0 139 0.70685 0.87173 23.3% - 0s
0 0 0.87173 0 140 0.70685 0.87173 23.3% - 0s
0 0 0.87173 0 124 0.70685 0.87173 23.3% - 0s
0 2 0.87173 0 123 0.70685 0.87173 23.3% - 0s
769 608 0.82152 14 152 0.70685 0.82152 16.2% 25.1 6s
1173 656 0.81349 17 134 0.70685 0.82152 16.2% 35.0 10s
1933 769 0.73661 33 142 0.70685 0.81429 15.2% 41.8 15s
2539 778 0.71815 34 132 0.70685 0.80668 14.1% 44.7 20s
3488 1025 0.74152 28 126 0.70685 0.79525 12.5% 46.3 25s
4482 1304 0.71920 43 121 0.70685 0.78557 11.1% 46.4 30s
5626 1811 0.74564 35 141 0.70685 0.78053 10.4% 43.9 35s
H 5900 1935 0.7068494 0.77983 10.3% 43.4 37s
6397 1996 0.76256 31 124 0.70685 0.77554 9.72% 43.5 40s
7588 2402 0.71565 45 116 0.70685 0.77196 9.21% 42.4 45s
8846 2655 cutoff 34 0.70685 0.76604 8.37% 42.1 50s
10291 3032 0.71195 37 134 0.70685 0.76201 7.80% 41.0 55s
11383 3275 infeasible 46 0.70685 0.75980 7.49% 40.5 61s
12932 3643 cutoff 40 0.70685 0.75682 7.07% 39.6 66s
14395 4062 0.75247 36 127 0.70685 0.75502 6.82% 38.8 71s
14847 4157 cutoff 34 0.70685 0.75457 6.75% 38.6 75s
16030 4383 0.73102 36 132 0.70685 0.75286 6.51% 38.4 80s
17396 4736 cutoff 45 0.70685 0.75159 6.33% 37.7 86s
18609 4919 infeasible 70 0.70685 0.75022 6.14% 37.6 90s
19369 5023 cutoff 45 0.70685 0.74952 6.04% 37.6 96s
20220 5135 0.71490 38 119 0.70685 0.74901 5.96% 37.5 100s
20641 5233 0.73429 37 131 0.70685 0.74880 5.93% 37.4 119s
21014 5306 cutoff 50 0.70685 0.74858 5.90% 37.5 121s
21840 5399 0.70822 43 158 0.70685 0.74775 5.79% 38.0 126s
22635 5489 cutoff 43 0.70685 0.74710 5.69% 38.6 131s
23162 5527 cutoff 39 0.70685 0.74677 5.65% 39.1 135s
24036 5578 0.71140 39 143 0.70685 0.74566 5.49% 39.8 140s
24933 5727 infeasible 41 0.70685 0.74498 5.40% 40.4 145s
25845 5884 0.70914 55 122 0.70685 0.74409 5.27% 41.1 151s
26501 5934 infeasible 47 0.70685 0.74355 5.19% 41.4 155s
27443 6010 0.72653 41 157 0.70685 0.74272 5.07% 42.1 161s
28193 6170 cutoff 44 0.70685 0.74222 5.00% 42.3 165s
29141 6261 0.71516 45 143 0.70685 0.74156 4.91% 42.9 170s
30157 6436 0.72964 44 145 0.70685 0.74096 4.83% 43.3 177s
30838 6527 0.71945 52 138 0.70685 0.74045 4.75% 43.6 181s
31510 6583 0.72147 49 155 0.70685 0.74007 4.70% 44.0 185s
32205 6682 cutoff 42 0.70685 0.73954 4.62% 44.3 190s
33354 6820 infeasible 34 0.70685 0.73882 4.52% 44.7 196s
34102 6962 0.73733 39 132 0.70685 0.73837 4.46% 44.8 201s
34854 7071 cutoff 105 0.70685 0.73809 4.42% 45.0 205s
35588 7134 0.71951 40 145 0.70685 0.73771 4.37% 45.2 210s
36683 7255 0.71835 40 149 0.70685 0.73712 4.28% 45.7 217s
37483 7332 cutoff 42 0.70685 0.73672 4.23% 45.9 221s
38218 7371 0.71094 30 160 0.70685 0.73631 4.17% 46.2 226s
39001 7570 infeasible 35 0.70685 0.73598 4.12% 46.4 230s
39652 7705 0.71181 33 173 0.70685 0.73570 4.08% 46.6 236s
40148 7736 0.71249 43 142 0.70685 0.73554 4.06% 46.7 240s
40901 7854 0.73405 53 150 0.70685 0.73516 4.01% 46.8 245s
41665 7948 cutoff 36 0.70685 0.73478 3.95% 47.0 250s
42493 8075 0.72251 42 156 0.70685 0.73439 3.90% 47.1 255s
43602 8247 cutoff 48 0.70685 0.73391 3.83% 47.4 261s
44357 8318 cutoff 41 0.70685 0.73362 3.79% 47.6 266s
45080 8375 0.72863 43 144 0.70685 0.73328 3.74% 47.8 270s
45861 8461 0.71675 44 166 0.70685 0.73302 3.70% 48.0 275s
46629 8517 0.71937 48 145 0.70685 0.73264 3.65% 48.2 280s
47346 8619 0.72780 44 138 0.70685 0.73241 3.62% 48.4 285s
48539 8774 cutoff 72 0.70685 0.73205 3.56% 48.6 291s
49255 8864 0.71211 51 146 0.70685 0.73180 3.53% 48.8 296s
50059 8942 0.72658 48 135 0.70685 0.73158 3.50% 48.9 301s
50824 8988 cutoff 55 0.70685 0.73135 3.47% 49.1 306s
51700 9129 infeasible 39 0.70685 0.73106 3.43% 49.2 313s
51807 9090 cutoff 50 0.70685 0.73103 3.42% 49.2 315s
52588 9155 0.71710 95 91 0.70685 0.73080 3.39% 49.4 320s
53420 9263 0.70982 60 139 0.70685 0.73057 3.36% 49.5 326s
54235 9303 0.73030 53 139 0.70685 0.73030 3.32% 49.7 331s
54937 9349 0.71161 38 174 0.70685 0.73008 3.29% 49.9 336s
55711 9393 infeasible 61 0.70685 0.72981 3.25% 50.1 341s
56630 9473 0.71188 39 157 0.70685 0.72956 3.21% 50.2 346s
57569 9591 cutoff 51 0.70685 0.72933 3.18% 50.2 351s
58479 9772 cutoff 44 0.70685 0.72907 3.14% 50.2 356s
59361 9870 0.71227 45 135 0.70685 0.72884 3.11% 50.3 361s
60120 9928 cutoff 41 0.70685 0.72867 3.09% 50.4 366s
60986 9966 0.71517 49 158 0.70685 0.72846 3.06% 50.4 371s
61763 10061 cutoff 56 0.70685 0.72826 3.03% 50.5 376s
62565 10144 0.72608 39 162 0.70685 0.72805 3.00% 50.7 381s
63459 10235 0.71532 41 164 0.70685 0.72791 2.98% 50.7 386s
64303 10320 0.72291 53 148 0.70685 0.72767 2.95% 50.7 391s
65120 10395 0.71414 43 159 0.70685 0.72747 2.92% 50.8 396s
65915 10471 0.71754 36 154 0.70685 0.72727 2.89% 50.9 402s
66785 10505 0.71184 39 158 0.70685 0.72704 2.86% 51.0 407s
67660 10541 cutoff 55 0.70685 0.72682 2.82% 51.1 412s
68140 10603 0.72132 39 148 0.70685 0.72665 2.80% 51.1 415s
69000 10677 0.71868 43 144 0.70685 0.72643 2.77% 51.1 420s
69877 10812 cutoff 38 0.70685 0.72624 2.74% 51.2 425s
70302 10793 0.71011 47 142 0.70685 0.72616 2.73% 51.2 430s
71137 10880 0.71876 105 84 0.70685 0.72601 2.71% 51.3 435s
72132 11034 cutoff 51 0.70685 0.72583 2.69% 51.2 441s
73082 11153 cutoff 44 0.70685 0.72567 2.66% 51.2 446s
74043 11235 0.71941 102 89 0.70685 0.72549 2.64% 51.2 451s
74876 11303 infeasible 47 0.70685 0.72530 2.61% 51.3 457s
75739 11357 cutoff 43 0.70685 0.72515 2.59% 51.3 461s
76608 11447 0.72243 50 153 0.70685 0.72498 2.56% 51.4 466s
77431 11555 0.71007 100 96 0.70685 0.72482 2.54% 51.4 472s
78340 11676 cutoff 52 0.70685 0.72464 2.52% 51.4 477s
78883 11799 0.71061 49 144 0.70685 0.72455 2.50% 51.3 480s
79843 11879 cutoff 56 0.70685 0.72437 2.48% 51.3 486s
80844 12011 0.70778 50 150 0.70685 0.72421 2.46% 51.3 491s
81793 12077 0.71971 56 130 0.70685 0.72407 2.44% 51.3 496s
82663 12150 infeasible 65 0.70685 0.72388 2.41% 51.3 501s
83634 12283 cutoff 55 0.70685 0.72372 2.39% 51.3 506s
84464 12389 0.71166 47 153 0.70685 0.72360 2.37% 51.3 511s
85345 12437 0.71405 48 142 0.70685 0.72347 2.35% 51.3 517s
86189 12502 0.71035 60 152 0.70685 0.72333 2.33% 51.4 522s
87071 12562 0.71291 56 149 0.70685 0.72318 2.31% 51.4 527s
87549 12627 0.72008 47 156 0.70685 0.72312 2.30% 51.4 530s
88288 12709 0.72303 107 80 0.70685 0.72303 2.29% 51.3 535s
89265 12799 0.71594 107 88 0.70685 0.72288 2.27% 51.3 540s
90306 12926 0.72038 51 155 0.70685 0.72275 2.25% 51.2 545s
91336 13053 infeasible 52 0.70685 0.72258 2.22% 51.2 550s
92174 13095 0.71331 65 136 0.70685 0.72243 2.20% 51.2 555s
93173 13225 0.72165 50 145 0.70685 0.72228 2.18% 51.1 560s
94417 13322 cutoff 111 0.70685 0.72209 2.16% 51.1 567s
95361 13450 0.71796 42 149 0.70685 0.72199 2.14% 51.1 571s
96190 13488 cutoff 71 0.70685 0.72183 2.12% 51.1 576s
97050 13579 0.71335 61 130 0.70685 0.72172 2.10% 51.1 582s
97531 13680 infeasible 44 0.70685 0.72165 2.09% 51.1 586s
98017 13677 cutoff 121 0.70685 0.72159 2.09% 51.2 592s
98952 13752 0.71491 107 87 0.70685 0.72145 2.06% 51.1 597s
99764 13840 0.71321 53 144 0.70685 0.72127 2.04% 51.2 600s
Cutting planes:
Gomory: 129
Cover: 2
Implied bound: 72
Projected implied bound: 80
Clique: 1
MIR: 26
Flow cover: 176
Inf proof: 360
Explored 99852 nodes (5114479 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.706849 0.706849
Time limit reached
Best objective 7.068493944755e-01, best bound 7.212645760441e-01, gap 2.0394%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyb8fq791.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7j8hfe79.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.701497
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 9.007884e-01, 1345 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90079 0 120 0.70150 0.90079 28.4% - 0s
0 0 0.87139 0 130 0.70150 0.87139 24.2% - 0s
0 0 0.87138 0 130 0.70150 0.87138 24.2% - 0s
0 0 0.85799 0 149 0.70150 0.85799 22.3% - 0s
0 0 0.85694 0 155 0.70150 0.85694 22.2% - 0s
0 0 0.85594 0 149 0.70150 0.85594 22.0% - 0s
0 0 0.85593 0 154 0.70150 0.85593 22.0% - 0s
0 0 0.85586 0 160 0.70150 0.85586 22.0% - 0s
0 0 0.85575 0 158 0.70150 0.85575 22.0% - 0s
0 0 0.85569 0 160 0.70150 0.85569 22.0% - 0s
0 0 0.85569 0 161 0.70150 0.85569 22.0% - 0s
0 0 0.85511 0 164 0.70150 0.85511 21.9% - 0s
0 0 0.85509 0 165 0.70150 0.85509 21.9% - 0s
0 0 0.85509 0 164 0.70150 0.85509 21.9% - 0s
0 0 0.85508 0 165 0.70150 0.85508 21.9% - 0s
0 0 0.85508 0 165 0.70150 0.85508 21.9% - 0s
0 0 0.85508 0 153 0.70150 0.85508 21.9% - 0s
0 2 0.85508 0 152 0.70150 0.85508 21.9% - 0s
747 524 0.78377 12 155 0.70150 0.80879 15.3% 26.8 5s
1047 597 0.72682 60 120 0.70150 0.80879 15.3% 37.3 10s
1805 643 0.77731 32 120 0.70150 0.78453 11.8% 43.0 15s
2954 1093 0.74406 39 125 0.70150 0.77266 10.1% 37.0 20s
4065 1414 cutoff 37 0.70150 0.76590 9.18% 37.0 25s
4853 1668 0.74700 44 133 0.70150 0.76148 8.55% 36.4 30s
6014 1955 0.72578 37 145 0.70150 0.75906 8.21% 36.5 35s
6980 2126 0.74283 37 133 0.70150 0.75732 7.96% 36.9 40s
8132 2376 0.71143 44 123 0.70150 0.75520 7.66% 36.3 45s
8742 2498 0.71904 54 113 0.70150 0.75353 7.42% 36.3 50s
10038 2738 cutoff 41 0.70150 0.75091 7.04% 36.3 56s
10739 2876 0.71122 43 146 0.70150 0.74961 6.86% 36.5 60s
11827 3051 0.73014 39 139 0.70150 0.74776 6.60% 36.6 65s
13101 3300 0.71709 42 151 0.70150 0.74583 6.32% 36.7 70s
13928 3426 cutoff 48 0.70150 0.74441 6.12% 36.8 75s
15008 3573 0.71542 40 147 0.70150 0.74281 5.89% 37.2 80s
16146 3747 0.73079 41 131 0.70150 0.74097 5.63% 37.4 85s
17415 3983 cutoff 44 0.70150 0.73983 5.46% 37.3 90s
18668 4234 cutoff 48 0.70150 0.73824 5.24% 37.2 96s
20128 4570 0.71580 45 140 0.70150 0.73672 5.02% 37.2 101s
20927 4710 0.72140 41 125 0.70150 0.73596 4.91% 37.2 123s
21644 4855 cutoff 56 0.70150 0.73545 4.84% 37.3 126s
22629 5078 0.73038 61 124 0.70150 0.73468 4.73% 37.8 131s
23551 5321 0.72074 40 162 0.70150 0.73427 4.67% 38.2 136s
24746 5674 0.71853 47 170 0.70150 0.73359 4.58% 38.4 141s
25584 5804 0.70685 47 130 0.70150 0.73306 4.50% 39.1 146s
26282 5938 0.71932 33 169 0.70150 0.73279 4.46% 39.3 150s
27484 6240 cutoff 36 0.70150 0.73194 4.34% 39.5 155s
28374 6399 0.71929 51 166 0.70150 0.73148 4.27% 40.0 160s
29640 6755 0.70186 79 106 0.70150 0.73098 4.20% 40.3 166s
30740 7153 cutoff 62 0.70150 0.73076 4.17% 40.0 170s
31653 7263 0.71726 50 150 0.70150 0.73020 4.09% 40.5 175s
32683 7492 0.72020 45 144 0.70150 0.72982 4.04% 40.8 181s
33423 7680 0.71130 41 161 0.70150 0.72960 4.01% 41.1 186s
34253 7896 cutoff 102 0.70150 0.72936 3.97% 41.1 192s
34999 8024 cutoff 52 0.70150 0.72907 3.93% 41.3 196s
35767 8191 cutoff 50 0.70150 0.72886 3.90% 41.4 200s
37067 8518 cutoff 41 0.70150 0.72854 3.86% 41.5 206s
37886 8688 infeasible 55 0.70150 0.72820 3.81% 41.5 210s
38969 8782 0.71415 90 120 0.70150 0.72773 3.74% 41.8 215s
40180 9000 0.71476 52 143 0.70150 0.72739 3.69% 42.0 221s
41094 9270 cutoff 58 0.70150 0.72714 3.66% 41.9 225s
42341 9510 0.71584 121 95 0.70150 0.72679 3.61% 42.0 231s
43226 9709 0.72026 40 171 0.70150 0.72661 3.58% 42.0 235s
44541 9976 cutoff 110 0.70150 0.72634 3.54% 42.1 241s
45331 10126 0.71779 42 157 0.70150 0.72611 3.51% 42.2 245s
46372 10275 cutoff 51 0.70150 0.72576 3.46% 42.4 251s
47104 10407 0.71902 120 99 0.70150 0.72557 3.43% 42.5 255s
48582 10836 cutoff 52 0.70150 0.72534 3.40% 42.4 261s
49320 10996 0.71236 48 143 0.70150 0.72519 3.38% 42.5 265s
50300 11185 0.70558 75 103 0.70150 0.72500 3.35% 42.7 272s
51097 11365 0.70413 72 103 0.70150 0.72484 3.33% 42.8 276s
51873 11516 cutoff 51 0.70150 0.72463 3.30% 42.8 280s
52683 11670 cutoff 107 0.70150 0.72439 3.26% 42.9 285s
53991 11966 0.70947 49 168 0.70150 0.72419 3.23% 42.9 291s
54666 12085 infeasible 41 0.70150 0.72401 3.21% 43.1 295s
55798 12300 0.70743 58 130 0.70150 0.72372 3.17% 43.3 302s
56371 12387 infeasible 55 0.70150 0.72358 3.15% 43.3 306s
57018 12432 cutoff 114 0.70150 0.72345 3.13% 43.5 311s
57888 12624 0.71394 95 112 0.70150 0.72326 3.10% 43.5 315s
59328 12994 0.70966 60 145 0.70150 0.72303 3.07% 43.3 321s
60196 13171 0.70223 103 93 0.70150 0.72285 3.04% 43.3 326s
60944 13274 0.71540 51 142 0.70150 0.72268 3.02% 43.5 330s
62153 13513 0.72070 51 153 0.70150 0.72247 2.99% 43.6 336s
63025 13687 0.70230 77 136 0.70150 0.72230 2.97% 43.7 340s
63809 13797 cutoff 84 0.70150 0.72213 2.94% 43.7 345s
65343 14042 0.70801 71 128 0.70150 0.72186 2.90% 43.7 351s
66162 14223 0.70890 57 140 0.70150 0.72173 2.88% 43.7 355s
67041 14399 0.70591 72 121 0.70150 0.72162 2.87% 43.7 360s
67900 14498 0.71154 67 135 0.70150 0.72143 2.84% 43.8 365s
H68168 14561 0.7014968 0.72139 2.84% 43.8 365s
69049 14719 0.70951 51 165 0.70150 0.72125 2.82% 43.8 372s
69807 14841 infeasible 56 0.70150 0.72108 2.79% 43.9 376s
70338 14835 cutoff 53 0.70150 0.72097 2.78% 44.0 381s
71260 14971 cutoff 105 0.70150 0.72081 2.75% 44.0 385s
72253 15200 0.71761 63 150 0.70150 0.72059 2.72% 44.0 390s
73530 15396 0.70889 41 165 0.70150 0.72037 2.69% 44.0 397s
74129 15449 0.70951 44 160 0.70150 0.72028 2.68% 44.0 402s
75123 15648 0.71805 53 156 0.70150 0.72014 2.66% 44.0 406s
76079 15870 cutoff 46 0.70150 0.72001 2.64% 44.0 411s
77043 16093 cutoff 73 0.70150 0.71984 2.61% 44.0 415s
77942 16270 cutoff 103 0.70150 0.71970 2.60% 44.0 420s
79404 16618 cutoff 45 0.70150 0.71948 2.56% 43.9 426s
80246 16762 0.71815 70 97 0.70150 0.71937 2.55% 43.9 431s
81248 16974 cutoff 56 0.70150 0.71926 2.53% 43.9 435s
82093 17118 cutoff 57 0.70150 0.71914 2.51% 43.8 440s
83805 17507 0.71198 103 82 0.70150 0.71899 2.49% 43.6 446s
84681 17717 0.71332 56 146 0.70150 0.71886 2.47% 43.6 450s
85524 17841 cutoff 72 0.70150 0.71875 2.46% 43.6 455s
86956 18148 cutoff 79 0.70150 0.71857 2.43% 43.5 461s
87872 18263 0.70695 37 191 0.70150 0.71843 2.41% 43.5 465s
89147 18444 0.70878 67 143 0.70150 0.71826 2.39% 43.6 471s
90155 18534 cutoff 66 0.70150 0.71815 2.37% 43.6 476s
91038 18661 0.70645 56 162 0.70150 0.71802 2.36% 43.5 480s
91979 18772 0.70485 76 120 0.70150 0.71791 2.34% 43.5 485s
93457 19053 0.70284 132 86 0.70150 0.71774 2.32% 43.4 492s
94514 19241 0.71470 87 103 0.70150 0.71765 2.30% 43.3 496s
95374 19339 infeasible 53 0.70150 0.71751 2.28% 43.4 500s
96359 19484 cutoff 100 0.70150 0.71744 2.27% 43.3 505s
97621 19602 cutoff 69 0.70150 0.71728 2.25% 43.3 511s
98558 19787 cutoff 94 0.70150 0.71716 2.23% 43.3 515s
99433 19848 0.70893 41 146 0.70150 0.71701 2.21% 43.3 520s
100790 20049 cutoff 104 0.70150 0.71686 2.19% 43.3 526s
101822 20261 cutoff 64 0.70150 0.71676 2.18% 43.2 530s
103258 20507 0.71623 83 97 0.70150 0.71661 2.15% 43.1 536s
104177 20684 cutoff 87 0.70150 0.71651 2.14% 43.1 541s
105182 20794 cutoff 59 0.70150 0.71640 2.12% 43.0 545s
106697 21054 0.70260 56 171 0.70150 0.71627 2.11% 42.9 551s
107497 21207 0.70216 64 115 0.70150 0.71620 2.10% 42.8 556s
108562 21412 0.70936 44 178 0.70150 0.71611 2.08% 42.7 560s
109969 21609 cutoff 63 0.70150 0.71601 2.07% 42.7 566s
110560 21644 0.70965 126 79 0.70150 0.71593 2.06% 42.7 571s
111688 21778 0.71165 73 138 0.70150 0.71584 2.04% 42.6 575s
113168 22008 0.71528 48 165 0.70150 0.71571 2.03% 42.5 581s
114096 22088 0.71565 59 139 0.70150 0.71565 2.02% 42.5 585s
115442 22228 cutoff 123 0.70150 0.71554 2.00% 42.4 591s
116443 22370 0.71371 47 166 0.70150 0.71541 1.98% 42.4 595s
117370 22500 cutoff 91 0.70150 0.71533 1.97% 42.4 600s
Cutting planes:
Gomory: 131
Cover: 4
Implied bound: 64
Projected implied bound: 66
Clique: 3
MIR: 38
Flow cover: 214
Inf proof: 407
Explored 117742 nodes (4991697 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.701497 0.701497
Time limit reached
Best objective 7.014967595128e-01, best bound 7.153078372046e-01, gap 1.9688%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp54griaap.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsemez4z7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.697199
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.935053e-01, 1304 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89351 0 124 0.69720 0.89351 28.2% - 0s
0 0 0.85472 0 133 0.69720 0.85472 22.6% - 0s
0 0 0.85471 0 133 0.69720 0.85471 22.6% - 0s
0 0 0.84998 0 141 0.69720 0.84998 21.9% - 0s
0 0 0.84989 0 142 0.69720 0.84989 21.9% - 0s
0 0 0.84841 0 134 0.69720 0.84841 21.7% - 0s
0 0 0.84841 0 137 0.69720 0.84841 21.7% - 0s
0 0 0.84804 0 146 0.69720 0.84804 21.6% - 0s
0 0 0.84783 0 149 0.69720 0.84783 21.6% - 0s
0 0 0.84767 0 149 0.69720 0.84767 21.6% - 0s
0 0 0.84762 0 151 0.69720 0.84762 21.6% - 0s
0 0 0.84762 0 150 0.69720 0.84762 21.6% - 0s
0 0 0.84762 0 135 0.69720 0.84762 21.6% - 0s
0 2 0.84762 0 133 0.69720 0.84762 21.6% - 0s
762 544 0.80676 10 147 0.69720 0.80676 15.7% 28.4 6s
1235 634 0.79083 19 147 0.69720 0.80165 15.0% 33.9 10s
1819 683 infeasible 21 0.69720 0.78608 12.7% 34.1 15s
2774 842 0.74935 28 131 0.69720 0.77249 10.8% 33.8 20s
3799 1121 0.70839 42 121 0.69720 0.76188 9.28% 34.5 25s
4760 1341 0.72986 42 123 0.69720 0.75752 8.65% 34.4 30s
6110 1796 0.70441 49 131 0.69720 0.75147 7.78% 32.4 35s
7220 2071 0.72444 30 126 0.69720 0.74614 7.02% 32.4 40s
8726 2457 0.71135 40 124 0.69720 0.74251 6.50% 31.4 46s
9668 2696 0.72809 45 124 0.69720 0.74041 6.20% 31.3 50s
10745 2877 0.71596 39 119 0.69720 0.73820 5.88% 31.3 55s
11960 3070 cutoff 48 0.69720 0.73602 5.57% 31.6 60s
13191 3244 cutoff 53 0.69720 0.73403 5.28% 31.6 66s
14063 3364 0.71919 44 135 0.69720 0.73266 5.09% 31.7 71s
15282 3475 0.73093 38 118 0.69720 0.73093 4.84% 31.9 76s
16503 3572 cutoff 45 0.69720 0.72976 4.67% 32.1 81s
17779 3696 0.70487 50 124 0.69720 0.72801 4.42% 32.2 85s
19218 4072 cutoff 42 0.69720 0.72693 4.26% 31.6 90s
20949 4461 0.69917 53 140 0.69720 0.72616 4.15% 31.0 115s
22462 4693 infeasible 65 0.69720 0.72490 3.97% 31.1 121s
23845 5134 0.72377 90 110 0.69720 0.72421 3.87% 30.8 126s
24811 5300 infeasible 63 0.69720 0.72358 3.78% 31.0 130s
26245 5722 cutoff 72 0.69720 0.72275 3.67% 30.9 135s
27472 5916 cutoff 52 0.69720 0.72202 3.56% 31.3 141s
28352 6002 cutoff 80 0.69720 0.72148 3.48% 31.6 145s
29407 6213 0.69947 54 131 0.69720 0.72089 3.40% 31.7 150s
30343 6254 0.71297 109 95 0.69720 0.72024 3.30% 32.0 155s
31311 6384 0.71161 54 118 0.69720 0.71979 3.24% 32.1 160s
32452 6546 0.70564 39 149 0.69720 0.71911 3.14% 32.3 165s
33482 6680 infeasible 48 0.69720 0.71867 3.08% 32.4 171s
33939 6785 infeasible 79 0.69720 0.71846 3.05% 32.3 176s
34746 6895 0.71350 63 134 0.69720 0.71802 2.99% 32.4 180s
35849 7063 0.71625 56 133 0.69720 0.71764 2.93% 32.5 185s
37217 7429 0.70197 76 120 0.69720 0.71711 2.86% 32.4 191s
38409 7627 infeasible 45 0.69720 0.71686 2.82% 32.4 196s
39212 7839 infeasible 38 0.69720 0.71659 2.78% 32.4 200s
40582 8124 0.70068 58 125 0.69720 0.71616 2.72% 32.4 205s
41604 8273 0.70382 97 99 0.69720 0.71579 2.67% 32.4 210s
42942 8593 0.70888 43 143 0.69720 0.71542 2.61% 32.3 215s
44517 9006 cutoff 87 0.69720 0.71507 2.56% 32.1 220s
45811 9361 infeasible 65 0.69720 0.71476 2.52% 32.0 226s
47512 9916 0.71349 76 101 0.69720 0.71437 2.46% 31.7 231s
48574 10261 0.70512 64 119 0.69720 0.71424 2.44% 31.5 235s
49974 10598 0.71188 110 72 0.69720 0.71392 2.40% 31.4 240s
51711 11171 0.70418 55 137 0.69720 0.71379 2.38% 31.0 245s
52773 11421 0.70786 102 98 0.69720 0.71361 2.35% 30.9 250s
54596 11842 infeasible 62 0.69720 0.71334 2.32% 30.7 256s
56235 12382 infeasible 105 0.69720 0.71313 2.28% 30.4 260s
57435 12545 0.70683 109 76 0.69720 0.71297 2.26% 30.4 265s
59361 13015 0.70782 107 89 0.69720 0.71272 2.23% 30.2 271s
60765 13337 0.69838 53 145 0.69720 0.71252 2.20% 30.0 275s
62300 13751 infeasible 117 0.69720 0.71238 2.18% 29.8 280s
64153 14139 0.70455 116 71 0.69720 0.71222 2.15% 29.6 286s
65600 14438 0.70572 113 69 0.69720 0.71208 2.13% 29.5 291s
67071 14826 0.70943 97 76 0.69720 0.71198 2.12% 29.3 298s
H67184 14826 0.6971985 0.71198 2.12% 29.3 298s
67442 14932 cutoff 43 0.69720 0.71194 2.11% 29.3 300s
68495 15066 0.70834 114 75 0.69720 0.71181 2.10% 29.3 305s
69980 15418 0.71159 105 82 0.69720 0.71167 2.08% 29.2 310s
71897 15761 0.70742 129 65 0.69720 0.71148 2.05% 29.1 316s
73343 15965 0.69774 107 72 0.69720 0.71133 2.03% 29.0 321s
74831 16141 0.69946 131 70 0.69720 0.71119 2.01% 28.9 325s
75966 16375 cutoff 72 0.69720 0.71112 2.00% 28.9 331s
77198 16644 0.69761 118 76 0.69720 0.71099 1.98% 28.8 336s
78624 16894 cutoff 58 0.69720 0.71090 1.97% 28.7 340s
79914 17034 cutoff 91 0.69720 0.71074 1.94% 28.6 345s
81436 17317 0.70997 75 109 0.69720 0.71061 1.92% 28.5 350s
82904 17581 cutoff 89 0.69720 0.71048 1.90% 28.5 355s
84392 17843 cutoff 44 0.69720 0.71037 1.89% 28.4 361s
85747 18001 cutoff 121 0.69720 0.71026 1.87% 28.3 365s
87197 18285 cutoff 96 0.69720 0.71014 1.86% 28.3 371s
88530 18429 cutoff 74 0.69720 0.71001 1.84% 28.3 376s
89881 18618 cutoff 97 0.69720 0.70995 1.83% 28.2 381s
91229 18828 cutoff 85 0.69720 0.70982 1.81% 28.2 386s
92658 19023 0.70940 51 141 0.69720 0.70971 1.79% 28.1 391s
94273 19301 cutoff 118 0.69720 0.70963 1.78% 28.0 395s
95858 19631 0.69946 73 124 0.69720 0.70953 1.77% 27.9 400s
97401 19979 0.70040 77 110 0.69720 0.70942 1.75% 27.8 406s
98932 20385 0.69884 125 54 0.69720 0.70937 1.75% 27.7 410s
100312 20640 0.70914 107 77 0.69720 0.70926 1.73% 27.6 415s
101984 20991 0.70206 117 63 0.69720 0.70916 1.72% 27.5 420s
104055 21419 0.70846 122 48 0.69720 0.70907 1.70% 27.4 426s
105787 21912 cutoff 123 0.69720 0.70898 1.69% 27.3 430s
107399 22152 cutoff 93 0.69720 0.70891 1.68% 27.2 435s
109327 22544 cutoff 58 0.69720 0.70883 1.67% 27.1 442s
110241 22631 cutoff 61 0.69720 0.70879 1.66% 27.0 445s
111677 22878 cutoff 99 0.69720 0.70873 1.65% 27.0 450s
H112250 23048 0.6971986 0.70871 1.65% 26.9 451s
113122 23178 cutoff 93 0.69720 0.70868 1.65% 26.9 456s
114493 23394 cutoff 57 0.69720 0.70863 1.64% 26.9 460s
115609 23589 0.70434 142 56 0.69720 0.70858 1.63% 26.8 465s
117147 23912 0.70164 94 107 0.69720 0.70854 1.63% 26.8 470s
118703 24173 cutoff 130 0.69720 0.70848 1.62% 26.7 475s
120098 24421 0.70346 80 116 0.69720 0.70841 1.61% 26.7 481s
120934 24578 cutoff 68 0.69720 0.70838 1.60% 26.6 485s
122544 24850 cutoff 69 0.69720 0.70831 1.59% 26.6 490s
124597 25278 0.70111 88 100 0.69720 0.70825 1.59% 26.5 496s
126087 25532 infeasible 37 0.69720 0.70820 1.58% 26.4 501s
127629 25770 0.70496 116 67 0.69720 0.70816 1.57% 26.4 505s
129216 26077 infeasible 146 0.69720 0.70809 1.56% 26.3 510s
131207 26370 infeasible 81 0.69720 0.70803 1.55% 26.2 515s
132644 26588 0.69754 99 87 0.69720 0.70796 1.54% 26.2 520s
134787 26996 cutoff 83 0.69720 0.70788 1.53% 26.1 525s
136789 27370 0.69732 69 117 0.69720 0.70783 1.53% 26.0 531s
138401 27692 cutoff 62 0.69720 0.70779 1.52% 25.9 535s
139780 27959 cutoff 102 0.69720 0.70774 1.51% 25.9 540s
141676 28247 cutoff 58 0.69720 0.70770 1.51% 25.8 546s
143086 28489 0.70765 101 99 0.69720 0.70765 1.50% 25.8 550s
145164 28943 0.70673 112 73 0.69720 0.70760 1.49% 25.7 556s
146688 29241 0.70084 98 80 0.69720 0.70757 1.49% 25.7 560s
147967 29538 0.70747 62 144 0.69720 0.70754 1.48% 25.7 565s
149901 29878 0.69943 114 75 0.69720 0.70750 1.48% 25.6 570s
151189 30112 0.69990 116 64 0.69720 0.70746 1.47% 25.6 575s
153055 30413 0.70227 111 88 0.69720 0.70741 1.46% 25.5 581s
154771 30789 0.69745 161 12 0.69720 0.70737 1.46% 25.5 585s
156325 31107 0.70308 125 53 0.69720 0.70734 1.45% 25.4 590s
158046 31354 cutoff 107 0.69720 0.70729 1.45% 25.4 595s
159827 31706 0.69776 138 38 0.69720 0.70724 1.44% 25.4 600s
Cutting planes:
Gomory: 155
Cover: 3
Implied bound: 70
Projected implied bound: 65
Clique: 1
MIR: 40
Flow cover: 203
Inf proof: 386
Explored 159867 nodes (4057064 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.697199 0.697199 0.697199
Time limit reached
Best objective 6.971985550763e-01, best bound 7.072431732472e-01, gap 1.4407%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphhgf9pm4.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoconjq_o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.691804
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.858486e-01, 1344 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88585 0 126 0.69180 0.88585 28.0% - 0s
0 0 0.84751 0 146 0.69180 0.84751 22.5% - 0s
0 0 0.84751 0 146 0.69180 0.84751 22.5% - 0s
0 0 0.84387 0 140 0.69180 0.84387 22.0% - 0s
0 0 0.84386 0 139 0.69180 0.84386 22.0% - 0s
0 0 0.84176 0 146 0.69180 0.84176 21.7% - 0s
0 0 0.84168 0 150 0.69180 0.84168 21.7% - 0s
0 0 0.84159 0 147 0.69180 0.84159 21.7% - 0s
0 0 0.84155 0 147 0.69180 0.84155 21.6% - 0s
0 0 0.84145 0 150 0.69180 0.84145 21.6% - 0s
0 0 0.84132 0 151 0.69180 0.84132 21.6% - 0s
0 0 0.84132 0 151 0.69180 0.84132 21.6% - 0s
0 0 0.84132 0 132 0.69180 0.84132 21.6% - 0s
0 2 0.84132 0 132 0.69180 0.84132 21.6% - 0s
740 551 0.71234 105 144 0.69180 0.80761 16.7% 20.6 5s
1327 761 0.69470 184 38 0.69180 0.80761 16.7% 28.1 10s
1969 851 0.74545 22 157 0.69180 0.80761 16.7% 37.8 15s
2663 989 0.70690 30 141 0.69180 0.79485 14.9% 41.4 20s
H 2737 1012 0.6918037 0.79361 14.7% 42.0 22s
3187 1183 0.69242 98 123 0.69180 0.78774 13.9% 43.9 25s
3942 1397 0.73598 25 148 0.69180 0.78069 12.8% 46.2 30s
4776 1614 0.75142 25 149 0.69180 0.77248 11.7% 48.2 35s
5554 1729 0.71336 30 154 0.69180 0.76761 11.0% 50.3 40s
6229 1790 0.73416 33 125 0.69180 0.76366 10.4% 52.6 45s
6707 1913 0.72122 29 136 0.69180 0.76026 9.90% 52.8 50s
7694 2067 0.71703 34 138 0.69180 0.75536 9.19% 53.3 56s
8675 2324 0.72706 43 138 0.69180 0.75202 8.70% 52.5 61s
9381 2417 0.73501 26 142 0.69180 0.74979 8.38% 52.6 65s
10378 2594 0.69765 36 145 0.69180 0.74658 7.92% 52.8 71s
10927 2707 0.71711 37 130 0.69180 0.74450 7.62% 52.8 76s
11824 2864 0.69490 30 137 0.69180 0.74252 7.33% 52.5 80s
12717 3016 0.69906 39 134 0.69180 0.74087 7.09% 52.0 85s
14184 3338 0.69609 41 110 0.69180 0.73733 6.58% 50.9 91s
15136 3565 cutoff 28 0.69180 0.73579 6.36% 50.2 96s
15712 3700 cutoff 54 0.69180 0.73500 6.24% 49.7 101s
16516 3808 cutoff 35 0.69180 0.73376 6.06% 49.5 105s
17422 3919 0.69359 38 136 0.69180 0.73244 5.87% 49.3 110s
18869 4112 0.70977 37 128 0.69180 0.73032 5.57% 48.7 117s
19684 4205 0.71138 36 127 0.69180 0.72931 5.42% 48.6 121s
20555 4374 0.71625 67 113 0.69180 0.72823 5.27% 48.1 126s
21026 4551 0.70139 51 132 0.69180 0.72792 5.22% 47.9 146s
21036 4558 0.71208 36 180 0.69180 0.72792 5.22% 47.8 151s
21040 4560 0.70730 86 197 0.69180 0.72792 5.22% 47.8 155s
21048 4566 0.70303 37 195 0.69180 0.72792 5.22% 47.8 160s
21052 4568 0.72013 42 221 0.69180 0.72792 5.22% 47.8 165s
21056 4571 0.71451 31 206 0.69180 0.72792 5.22% 47.8 171s
21059 4573 0.69649 76 214 0.69180 0.72792 5.22% 47.8 175s
21064 4576 0.71725 43 218 0.69180 0.72792 5.22% 47.8 181s
21066 4578 0.71861 60 211 0.69180 0.72792 5.22% 47.8 185s
21069 4580 0.71536 36 223 0.69180 0.72792 5.22% 47.8 190s
21073 4582 0.72653 39 231 0.69180 0.72792 5.22% 47.8 195s
21076 4584 0.69969 45 207 0.69180 0.72792 5.22% 47.7 201s
21078 4586 0.69789 46 208 0.69180 0.72792 5.22% 47.7 205s
21083 4589 0.70795 35 226 0.69180 0.72792 5.22% 47.7 210s
21086 4591 0.69908 40 217 0.69180 0.72792 5.22% 47.7 216s
21088 4592 0.71069 36 236 0.69180 0.72792 5.22% 47.7 220s
21091 4594 0.72027 41 249 0.69180 0.72792 5.22% 47.7 225s
21095 4597 0.70586 35 256 0.69180 0.72792 5.22% 47.7 232s
21097 4598 0.70360 41 259 0.69180 0.72792 5.22% 47.7 237s
21099 4600 0.72075 50 257 0.69180 0.72792 5.22% 47.7 241s
21101 4601 0.72443 40 250 0.69180 0.72792 5.22% 47.7 245s
21104 4603 0.71231 35 259 0.69180 0.72792 5.22% 47.7 250s
21107 4605 0.70363 37 252 0.69180 0.72792 5.22% 47.7 256s
21109 4606 0.71552 40 261 0.69180 0.72792 5.22% 47.7 260s
21113 4609 0.70821 30 257 0.69180 0.72792 5.22% 47.7 266s
21116 4611 0.72198 37 261 0.69180 0.72792 5.22% 47.7 270s
21119 4613 0.71396 67 263 0.69180 0.72792 5.22% 47.7 277s
21121 4614 0.70413 43 270 0.69180 0.72792 5.22% 47.6 282s
21123 4616 0.70650 39 269 0.69180 0.72792 5.22% 47.6 285s
21124 4619 0.72792 25 252 0.69180 0.72792 5.22% 48.9 293s
21126 4620 0.72792 26 256 0.69180 0.72792 5.22% 48.9 300s
21130 4617 infeasible 27 0.69180 0.72792 5.22% 49.0 309s
21138 4619 infeasible 29 0.69180 0.72792 5.22% 49.0 310s
21191 4631 0.71612 42 225 0.69180 0.72792 5.22% 49.4 315s
21270 4663 0.72792 35 260 0.69180 0.72792 5.22% 49.6 320s
21345 4684 0.71802 42 235 0.69180 0.72792 5.22% 49.8 326s
21473 4713 0.70898 60 194 0.69180 0.72792 5.22% 50.0 330s
21642 4736 0.72320 40 240 0.69180 0.72792 5.22% 50.8 335s
21845 4770 0.69597 43 224 0.69180 0.72792 5.22% 51.4 343s
21923 4778 0.70833 38 222 0.69180 0.72792 5.22% 51.7 345s
22114 4823 0.72678 36 244 0.69180 0.72792 5.22% 52.3 350s
22189 4832 0.72792 35 231 0.69180 0.72792 5.22% 52.7 359s
22238 4833 0.70481 39 221 0.69180 0.72792 5.22% 53.3 360s
22397 4841 0.72405 39 223 0.69180 0.72792 5.22% 54.3 366s
22531 4875 0.69602 47 206 0.69180 0.72792 5.22% 55.0 370s
22667 4864 0.72303 37 227 0.69180 0.72792 5.22% 55.7 376s
22858 4888 0.71673 38 232 0.69180 0.72792 5.22% 56.3 382s
23066 4937 0.69388 47 218 0.69180 0.72792 5.22% 56.7 386s
23218 4965 0.71704 37 236 0.69180 0.72792 5.22% 57.5 390s
23476 4974 0.70951 32 253 0.69180 0.72792 5.22% 58.0 395s
23757 5058 0.70511 46 209 0.69180 0.72792 5.22% 58.4 400s
23960 5078 0.70839 49 223 0.69180 0.72792 5.22% 59.2 405s
24222 5099 cutoff 45 0.69180 0.72792 5.22% 60.0 411s
24460 5091 0.72254 46 235 0.69180 0.72792 5.22% 60.9 418s
24593 5094 0.71967 39 223 0.69180 0.72792 5.22% 61.4 421s
24710 5110 0.72375 39 237 0.69180 0.72792 5.22% 61.9 426s
24796 5110 0.70589 45 227 0.69180 0.72792 5.22% 62.4 430s
25151 5100 0.71465 43 217 0.69180 0.72792 5.22% 63.4 437s
25384 5146 0.71856 41 224 0.69180 0.72792 5.22% 63.8 441s
25719 5153 0.71823 38 242 0.69180 0.72788 5.22% 64.9 448s
25815 5141 0.70424 48 205 0.69180 0.72754 5.16% 65.3 453s
26018 5177 cutoff 46 0.69180 0.72716 5.11% 65.8 457s
26209 5151 0.69253 41 226 0.69180 0.72695 5.08% 66.4 465s
26426 5128 cutoff 49 0.69180 0.72675 5.05% 67.2 473s
26663 5130 cutoff 41 0.69180 0.72641 5.00% 67.7 479s
26864 5146 0.69680 46 214 0.69180 0.72598 4.94% 68.4 484s
27044 5132 0.69409 42 198 0.69180 0.72577 4.91% 69.2 490s
27302 5169 0.69702 52 181 0.69180 0.72552 4.87% 69.9 496s
27607 5213 cutoff 49 0.69180 0.72534 4.85% 70.9 502s
27895 5198 0.69757 43 217 0.69180 0.72496 4.79% 71.9 508s
28136 5154 0.70409 34 244 0.69180 0.72481 4.77% 73.0 514s
28368 5143 0.71493 46 234 0.69180 0.72441 4.71% 74.1 520s
28585 5133 0.69812 42 226 0.69180 0.72425 4.69% 75.0 527s
28929 5133 0.71552 44 237 0.69180 0.72405 4.66% 75.9 533s
29229 5120 0.69934 46 211 0.69180 0.72362 4.60% 77.0 540s
29581 5081 0.70835 47 230 0.69180 0.72328 4.55% 78.3 547s
29874 5061 cutoff 52 0.69180 0.72280 4.48% 79.5 555s
30218 5069 0.70072 50 220 0.69180 0.72264 4.46% 80.1 563s
30590 5096 0.71132 45 198 0.69180 0.72241 4.42% 80.9 571s
30915 5085 cutoff 44 0.69180 0.72214 4.39% 81.6 580s
31324 5076 cutoff 55 0.69180 0.72169 4.32% 82.7 589s
31749 5083 0.69808 54 215 0.69180 0.72123 4.25% 83.7 597s
32171 5060 0.70078 45 234 0.69180 0.72086 4.20% 85.0 600s
Cutting planes:
Gomory: 200
Cover: 7
Implied bound: 34
Projected implied bound: 86
Clique: 3
MIR: 178
StrongCG: 2
Flow cover: 628
Inf proof: 67
Explored 32267 nodes (2753227 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.691804 0.691804
Time limit reached
Best objective 6.918036708532e-01, best bound 7.208361987494e-01, gap 4.1966%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu2j1jnhb.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptd9kztis.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.687271
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 8.780576e-01, 1365 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87806 0 127 0.68727 0.87806 27.8% - 0s
0 0 0.85368 0 138 0.68727 0.85368 24.2% - 0s
0 0 0.85366 0 136 0.68727 0.85366 24.2% - 0s
0 0 0.83820 0 169 0.68727 0.83820 22.0% - 0s
0 0 0.83655 0 165 0.68727 0.83655 21.7% - 0s
0 0 0.83563 0 163 0.68727 0.83563 21.6% - 0s
0 0 0.83556 0 167 0.68727 0.83556 21.6% - 0s
0 0 0.83538 0 166 0.68727 0.83538 21.6% - 0s
0 0 0.83518 0 162 0.68727 0.83518 21.5% - 0s
0 0 0.83494 0 164 0.68727 0.83494 21.5% - 0s
0 0 0.83494 0 164 0.68727 0.83494 21.5% - 0s
0 0 0.83489 0 165 0.68727 0.83489 21.5% - 0s
0 0 0.83488 0 163 0.68727 0.83488 21.5% - 0s
0 0 0.83488 0 164 0.68727 0.83488 21.5% - 0s
0 0 0.83488 0 142 0.68727 0.83488 21.5% - 0s
0 2 0.83488 0 142 0.68727 0.83488 21.5% - 0s
742 570 0.78569 32 156 0.68727 0.79846 16.2% 26.0 5s
1115 679 infeasible 21 0.68727 0.79846 16.2% 33.8 10s
1759 706 0.74109 30 155 0.68727 0.77666 13.0% 38.5 15s
2862 1005 0.69382 37 156 0.68727 0.76611 11.5% 36.6 20s
3732 1349 cutoff 31 0.68727 0.76093 10.7% 37.7 25s
4351 1510 0.69680 43 117 0.68727 0.75541 9.91% 39.9 30s
5221 1809 0.71987 37 139 0.68727 0.75133 9.32% 40.5 35s
6389 2283 0.69647 54 136 0.68727 0.74725 8.73% 40.0 40s
7306 2476 0.70128 46 149 0.68727 0.74370 8.21% 41.0 45s
8414 2832 0.72996 33 146 0.68727 0.74104 7.82% 41.2 51s
H 8415 2832 0.6872710 0.74104 7.82% 41.2 51s
9062 3008 0.69063 39 141 0.68727 0.74013 7.69% 41.3 56s
10171 3292 0.70829 37 139 0.68727 0.73766 7.33% 41.5 61s
10896 3442 0.72160 33 142 0.68727 0.73574 7.05% 41.8 65s
12110 3699 0.69781 28 152 0.68727 0.73340 6.71% 41.8 71s
13359 3911 0.68940 44 132 0.68727 0.73111 6.38% 42.2 76s
14060 4072 0.70922 38 121 0.68727 0.72985 6.19% 42.3 83s
14251 4075 0.69298 43 147 0.68727 0.72967 6.17% 42.5 85s
15500 4314 infeasible 41 0.68727 0.72710 5.80% 42.4 91s
16360 4512 0.71310 45 142 0.68727 0.72594 5.63% 42.2 95s
17651 4786 0.72363 41 139 0.68727 0.72463 5.44% 42.0 100s
19073 5070 0.69601 48 145 0.68727 0.72355 5.28% 41.6 106s
19826 5128 0.70568 46 137 0.68727 0.72269 5.15% 41.8 110s
21123 5352 infeasible 37 0.68727 0.72157 4.99% 41.6 136s
21744 5470 cutoff 50 0.68727 0.72073 4.87% 41.6 140s
22797 5533 infeasible 31 0.68727 0.71983 4.74% 42.1 145s
23840 5564 0.71085 36 149 0.68727 0.71881 4.59% 42.7 151s
24904 5709 infeasible 59 0.68727 0.71785 4.45% 42.9 156s
25632 5748 cutoff 42 0.68727 0.71700 4.33% 43.1 160s
26591 5786 cutoff 57 0.68727 0.71579 4.15% 43.7 166s
27364 5859 0.71171 63 129 0.68727 0.71526 4.07% 43.9 170s
28637 5994 0.70121 56 143 0.68727 0.71421 3.92% 44.0 176s
29468 6097 0.68761 50 137 0.68727 0.71375 3.85% 44.0 180s
30930 6378 cutoff 49 0.68727 0.71278 3.71% 43.8 186s
31935 6535 cutoff 49 0.68727 0.71216 3.62% 43.7 190s
33294 6767 0.69920 40 147 0.68727 0.71146 3.52% 43.6 196s
34841 7030 infeasible 61 0.68727 0.71099 3.45% 43.3 201s
35526 7070 0.69774 48 157 0.68727 0.71046 3.37% 43.4 205s
36669 7190 cutoff 34 0.68727 0.70971 3.27% 43.5 211s
37565 7321 cutoff 43 0.68727 0.70932 3.21% 43.3 215s
38621 7559 0.69715 44 147 0.68727 0.70888 3.14% 43.1 221s
39416 7635 0.70482 62 132 0.68727 0.70863 3.11% 43.0 225s
40773 7876 0.70733 39 147 0.68727 0.70804 3.02% 42.8 230s
41959 7925 cutoff 44 0.68727 0.70748 2.94% 42.8 236s
43104 7979 cutoff 43 0.68727 0.70695 2.86% 42.8 241s
43921 8094 cutoff 47 0.68727 0.70651 2.80% 42.7 245s
45118 8263 0.69968 66 130 0.68727 0.70619 2.75% 42.6 250s
46437 8476 0.69031 58 147 0.68727 0.70580 2.70% 42.3 256s
47661 8607 cutoff 58 0.68727 0.70550 2.65% 42.3 261s
48594 8758 cutoff 38 0.68727 0.70518 2.61% 42.2 265s
50028 8918 cutoff 55 0.68727 0.70485 2.56% 41.9 271s
51268 9070 0.69125 56 149 0.68727 0.70461 2.52% 41.8 276s
52627 9306 0.69700 45 155 0.68727 0.70429 2.48% 41.6 281s
53611 9508 0.70297 64 132 0.68727 0.70412 2.45% 41.5 285s
55136 9788 0.69874 38 167 0.68727 0.70386 2.41% 41.2 290s
56560 10012 cutoff 50 0.68727 0.70362 2.38% 40.9 296s
57394 10130 0.69709 111 102 0.68727 0.70345 2.35% 40.9 300s
59225 10503 0.68860 42 173 0.68727 0.70317 2.31% 40.4 305s
60364 10641 cutoff 49 0.68727 0.70295 2.28% 40.4 311s
61191 10776 cutoff 57 0.68727 0.70280 2.26% 40.3 315s
62942 11197 infeasible 63 0.68727 0.70261 2.23% 39.9 320s
64386 11461 cutoff 56 0.68727 0.70245 2.21% 39.6 327s
64984 11574 0.69762 47 157 0.68727 0.70228 2.18% 39.5 330s
66353 11760 cutoff 97 0.68727 0.70208 2.15% 39.3 335s
68099 12195 cutoff 90 0.68727 0.70190 2.13% 39.0 340s
69901 12514 0.69505 63 125 0.68727 0.70168 2.10% 38.8 346s
71092 12683 0.69183 95 111 0.68727 0.70153 2.08% 38.7 351s
72461 12802 0.70095 70 132 0.68727 0.70132 2.04% 38.6 355s
73886 13062 0.69179 74 135 0.68727 0.70117 2.02% 38.4 360s
75704 13358 0.68793 104 119 0.68727 0.70095 1.99% 38.1 366s
77428 13798 cutoff 72 0.68727 0.70081 1.97% 37.8 371s
78993 14112 cutoff 48 0.68727 0.70063 1.94% 37.6 375s
80661 14439 0.69099 75 116 0.68727 0.70048 1.92% 37.3 380s
H81786 14683 0.6872710 0.70037 1.91% 37.1 383s
82031 14688 cutoff 133 0.68727 0.70035 1.90% 37.1 386s
83500 14950 0.69159 78 146 0.68727 0.70020 1.88% 36.9 391s
84892 15145 infeasible 101 0.68727 0.70011 1.87% 36.8 395s
86320 15440 0.69164 132 67 0.68727 0.69999 1.85% 36.6 400s
87375 15592 0.69959 70 142 0.68727 0.69987 1.83% 36.4 405s
88915 15893 cutoff 103 0.68727 0.69981 1.82% 36.2 410s
90730 16140 0.68728 92 117 0.68727 0.69962 1.80% 36.1 416s
92167 16320 0.69368 130 69 0.68727 0.69951 1.78% 35.9 421s
93709 16658 0.69746 65 138 0.68727 0.69940 1.76% 35.8 425s
95142 17002 0.69906 98 83 0.68727 0.69930 1.75% 35.5 430s
97263 17417 0.69835 117 83 0.68727 0.69918 1.73% 35.3 435s
98701 17706 0.68789 96 125 0.68727 0.69907 1.72% 35.1 440s
100883 18158 0.68797 43 160 0.68727 0.69895 1.70% 34.9 445s
102969 18563 cutoff 85 0.68727 0.69884 1.68% 34.7 451s
104405 18772 0.69850 92 102 0.68727 0.69876 1.67% 34.6 455s
106497 19171 0.68919 97 115 0.68727 0.69865 1.66% 34.3 461s
107801 19324 0.69749 100 129 0.68727 0.69855 1.64% 34.2 465s
109567 19603 0.69681 107 123 0.68727 0.69845 1.63% 34.1 471s
110985 19844 0.69238 115 112 0.68727 0.69838 1.62% 34.0 475s
113122 20268 0.69595 100 82 0.68727 0.69827 1.60% 33.8 481s
114682 20548 0.68860 134 78 0.68727 0.69820 1.59% 33.6 485s
116163 20769 0.69275 124 116 0.68727 0.69811 1.58% 33.5 490s
117738 21017 0.68752 129 77 0.68727 0.69803 1.57% 33.4 495s
119464 21267 0.69037 94 106 0.68727 0.69794 1.55% 33.3 501s
120688 21402 0.69634 96 119 0.68727 0.69785 1.54% 33.2 505s
122447 21567 0.68838 129 92 0.68727 0.69777 1.53% 33.1 511s
123880 21819 cutoff 73 0.68727 0.69769 1.52% 33.0 515s
125116 22060 cutoff 80 0.68727 0.69763 1.51% 33.0 520s
126225 22201 0.69714 84 99 0.68727 0.69757 1.50% 32.9 525s
127665 22374 cutoff 51 0.68727 0.69751 1.49% 32.9 530s
129513 22706 cutoff 110 0.68727 0.69740 1.47% 32.8 536s
131066 22902 cutoff 130 0.68727 0.69733 1.46% 32.7 541s
132711 23171 cutoff 107 0.68727 0.69726 1.45% 32.6 545s
133993 23246 0.68876 139 76 0.68727 0.69718 1.44% 32.5 550s
136159 23666 0.69051 61 158 0.68727 0.69710 1.43% 32.4 556s
137343 23844 0.69420 87 127 0.68727 0.69702 1.42% 32.3 560s
138724 23985 infeasible 107 0.68727 0.69698 1.41% 32.3 565s
140269 24251 0.69166 127 90 0.68727 0.69690 1.40% 32.2 570s
141747 24477 0.69311 183 46 0.68727 0.69686 1.39% 32.1 575s
143755 24799 infeasible 105 0.68727 0.69674 1.38% 32.0 581s
145324 25082 cutoff 69 0.68727 0.69667 1.37% 31.9 585s
146495 25243 0.69186 99 91 0.68727 0.69663 1.36% 31.9 590s
147844 25370 0.69076 76 135 0.68727 0.69655 1.35% 31.8 595s
149768 25674 0.69469 106 85 0.68727 0.69646 1.34% 31.8 600s
Cutting planes:
Gomory: 137
Cover: 8
Implied bound: 75
Projected implied bound: 61
MIR: 37
Flow cover: 204
GUB cover: 1
Inf proof: 446
Explored 149822 nodes (4763579 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.687271 0.687271 0.687271
Time limit reached
Best objective 6.872710193755e-01, best bound 6.964608108977e-01, gap 1.3371%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgeh9kbok.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz54sfufs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.678696
Presolve removed 886 rows and 573 columns
Presolve time: 0.03s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 8.659906e-01, 1377 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86599 0 133 0.67870 0.86599 27.6% - 0s
0 0 0.83896 0 154 0.67870 0.83896 23.6% - 0s
0 0 0.83895 0 150 0.67870 0.83895 23.6% - 0s
0 0 0.82636 0 179 0.67870 0.82636 21.8% - 0s
0 0 0.82535 0 183 0.67870 0.82535 21.6% - 0s
0 0 0.82409 0 180 0.67870 0.82409 21.4% - 0s
0 0 0.82406 0 178 0.67870 0.82406 21.4% - 0s
0 0 0.82386 0 185 0.67870 0.82386 21.4% - 0s
0 0 0.82377 0 187 0.67870 0.82377 21.4% - 0s
0 0 0.82369 0 186 0.67870 0.82369 21.4% - 0s
0 0 0.82368 0 185 0.67870 0.82368 21.4% - 0s
0 0 0.82368 0 184 0.67870 0.82368 21.4% - 0s
0 0 0.82368 0 184 0.67870 0.82368 21.4% - 0s
0 0 0.82368 0 184 0.67870 0.82368 21.4% - 0s
0 0 0.82368 0 166 0.67870 0.82368 21.4% - 0s
0 2 0.82368 0 166 0.67870 0.82368 21.4% - 0s
760 586 0.74290 33 167 0.67870 0.79646 17.4% 28.9 5s
944 631 0.77717 21 174 0.67870 0.79541 17.2% 40.5 10s
1546 678 0.73416 31 129 0.67870 0.77619 14.4% 45.5 15s
H 1647 654 0.6786963 0.77366 14.0% 47.2 17s
1887 639 0.74778 25 156 0.67870 0.76818 13.2% 49.5 20s
2771 870 infeasible 28 0.67870 0.75936 11.9% 49.6 25s
3444 1148 0.73455 29 149 0.67870 0.75301 10.9% 49.2 30s
4175 1391 0.70141 27 154 0.67870 0.74875 10.3% 49.6 35s
5055 1611 0.72129 31 166 0.67870 0.74392 9.61% 50.0 40s
6034 1941 0.71165 30 151 0.67870 0.73989 9.02% 48.9 45s
7094 2190 0.70634 30 139 0.67870 0.73617 8.47% 48.2 50s
7754 2334 cutoff 36 0.67870 0.73351 8.08% 47.7 55s
8952 2563 0.71289 33 145 0.67870 0.72988 7.54% 47.1 60s
10214 2836 0.69456 36 136 0.67870 0.72642 7.03% 46.4 65s
11272 3111 cutoff 42 0.67870 0.72472 6.78% 45.5 70s
12922 3458 0.69123 47 136 0.67870 0.72196 6.37% 44.4 75s
14249 3665 0.68617 35 146 0.67870 0.72037 6.14% 43.7 81s
14806 3730 0.70171 40 139 0.67870 0.71984 6.06% 43.6 86s
15766 3920 0.68209 150 58 0.67870 0.71868 5.89% 43.1 90s
17427 4238 0.68180 39 145 0.67870 0.71712 5.66% 42.3 96s
18253 4287 cutoff 38 0.67870 0.71564 5.44% 42.3 100s
19474 4431 0.68379 40 146 0.67870 0.71439 5.26% 42.4 106s
20730 4537 0.69886 37 143 0.67870 0.71341 5.11% 42.5 131s
21457 4671 0.71037 40 168 0.67870 0.71268 5.01% 42.5 135s
22570 4945 0.70744 43 154 0.67870 0.71190 4.89% 42.8 140s
23726 5225 0.68862 41 178 0.67870 0.71118 4.79% 42.9 146s
24577 5276 cutoff 56 0.67870 0.71037 4.67% 43.5 151s
25177 5341 cutoff 43 0.67870 0.70987 4.59% 43.9 155s
26131 5485 0.68801 36 165 0.67870 0.70916 4.49% 44.4 160s
26853 5690 cutoff 54 0.67870 0.70879 4.43% 44.3 165s
27920 5858 0.70158 33 174 0.67870 0.70812 4.33% 44.6 171s
28619 5935 infeasible 59 0.67870 0.70758 4.26% 44.9 175s
29639 6049 cutoff 42 0.67870 0.70697 4.17% 45.3 181s
30302 6096 0.70130 59 118 0.67870 0.70658 4.11% 45.6 185s
30641 6141 cutoff 38 0.67870 0.70640 4.08% 45.8 190s
31022 6128 0.68804 37 154 0.67870 0.70604 4.03% 46.0 195s
32062 6186 0.69135 43 164 0.67870 0.70540 3.94% 46.4 201s
32758 6236 cutoff 59 0.67870 0.70495 3.87% 46.8 206s
33450 6224 0.69743 47 155 0.67870 0.70443 3.79% 47.1 210s
34111 6257 0.69567 49 140 0.67870 0.70401 3.73% 47.4 215s
35169 6279 cutoff 42 0.67870 0.70344 3.65% 48.0 221s
35872 6292 0.68568 44 154 0.67870 0.70310 3.60% 48.3 226s
36609 6311 cutoff 45 0.67870 0.70272 3.54% 48.5 231s
37449 6382 cutoff 56 0.67870 0.70218 3.46% 48.5 235s
38234 6441 0.68646 108 87 0.67870 0.70181 3.41% 48.6 240s
39578 6688 0.69408 63 110 0.67870 0.70132 3.33% 48.5 246s
40356 6770 0.69528 59 144 0.67870 0.70080 3.26% 48.6 251s
41204 6878 cutoff 39 0.67870 0.70043 3.20% 48.7 256s
42175 7100 0.69445 44 160 0.67870 0.70016 3.16% 48.5 260s
42908 7104 cutoff 39 0.67870 0.69994 3.13% 48.7 265s
44004 7074 cutoff 77 0.67870 0.69921 3.02% 49.0 272s
44713 7031 cutoff 48 0.67870 0.69873 2.95% 49.2 276s
45612 7104 0.68637 40 162 0.67870 0.69834 2.89% 49.2 281s
46591 7264 cutoff 105 0.67870 0.69820 2.87% 49.1 285s
47483 7391 0.68812 64 135 0.67870 0.69773 2.80% 49.1 290s
49050 7705 infeasible 34 0.67870 0.69724 2.73% 48.8 296s
49949 7806 0.69705 57 141 0.67870 0.69705 2.70% 48.7 300s
50966 8049 0.69391 83 101 0.67870 0.69665 2.65% 48.4 306s
51813 8283 0.68916 41 160 0.67870 0.69650 2.62% 48.1 310s
53636 8700 0.67958 88 119 0.67870 0.69622 2.58% 47.4 316s
54703 8905 cutoff 49 0.67870 0.69594 2.54% 47.2 320s
56122 9197 cutoff 61 0.67870 0.69561 2.49% 46.9 325s
57683 9563 0.67899 51 138 0.67870 0.69536 2.46% 46.6 331s
58810 9791 cutoff 86 0.67870 0.69513 2.42% 46.3 335s
60097 9944 0.68188 57 136 0.67870 0.69497 2.40% 46.1 340s
61463 10226 0.69461 82 103 0.67870 0.69464 2.35% 45.9 346s
62702 10304 cutoff 52 0.67870 0.69441 2.31% 45.9 351s
63867 10647 infeasible 82 0.67870 0.69428 2.30% 45.5 355s
65181 10888 0.68666 49 159 0.67870 0.69404 2.26% 45.4 360s
66451 11040 0.69312 120 85 0.67870 0.69384 2.23% 45.3 366s
67381 11264 0.68926 72 142 0.67870 0.69371 2.21% 45.1 370s
68884 11631 0.69344 74 114 0.67870 0.69352 2.18% 44.9 375s
70191 11902 0.68501 39 173 0.67870 0.69329 2.15% 44.7 380s
70936 12084 0.68091 99 109 0.67870 0.69322 2.14% 44.6 385s
72408 12476 cutoff 80 0.67870 0.69301 2.11% 44.4 390s
73958 12886 cutoff 51 0.67870 0.69289 2.09% 44.0 396s
75524 13279 cutoff 64 0.67870 0.69272 2.07% 43.7 401s
76313 13390 0.68140 58 155 0.67870 0.69258 2.05% 43.6 405s
77699 13552 0.68041 95 115 0.67870 0.69247 2.03% 43.5 410s
78978 13636 cutoff 93 0.67870 0.69227 2.00% 43.4 415s
80342 13755 0.68439 109 88 0.67870 0.69213 1.98% 43.3 421s
81847 14072 0.68853 112 100 0.67870 0.69203 1.96% 43.1 426s
83710 14562 0.68953 97 82 0.67870 0.69193 1.95% 42.6 431s
84610 14682 cutoff 99 0.67870 0.69183 1.93% 42.5 438s
H84727 14682 0.6786963 0.69183 1.93% 42.5 438s
85591 14850 0.69028 76 131 0.67870 0.69174 1.92% 42.4 441s
87171 15209 cutoff 91 0.67870 0.69161 1.90% 42.1 446s
88566 15496 0.68448 98 97 0.67870 0.69153 1.89% 41.9 451s
89599 15707 0.68172 44 155 0.67870 0.69145 1.88% 41.8 456s
90449 15861 0.68146 54 154 0.67870 0.69137 1.87% 41.7 461s
92074 16200 0.67924 119 72 0.67870 0.69126 1.85% 41.5 466s
93133 16347 cutoff 115 0.67870 0.69117 1.84% 41.4 470s
94428 16532 0.68780 48 171 0.67870 0.69107 1.82% 41.3 475s
95905 16780 cutoff 111 0.67870 0.69094 1.80% 41.1 480s
97196 16910 0.67960 142 54 0.67870 0.69080 1.78% 41.0 485s
98424 17088 0.68529 89 109 0.67870 0.69073 1.77% 40.9 490s
100094 17372 0.68278 70 122 0.67870 0.69061 1.75% 40.7 496s
101674 17670 0.69042 90 109 0.67870 0.69049 1.74% 40.5 501s
103142 17998 cutoff 69 0.67870 0.69039 1.72% 40.3 506s
104292 18261 cutoff 92 0.67870 0.69035 1.72% 40.2 510s
106343 18578 0.68588 85 116 0.67870 0.69023 1.70% 39.9 516s
107442 18850 cutoff 99 0.67870 0.69018 1.69% 39.8 520s
109434 19222 infeasible 106 0.67870 0.69009 1.68% 39.6 526s
111094 19554 cutoff 115 0.67870 0.69001 1.67% 39.4 531s
112492 19832 0.68989 99 99 0.67870 0.68994 1.66% 39.3 536s
113954 20023 infeasible 131 0.67870 0.68986 1.65% 39.2 541s
115607 20429 0.68444 81 138 0.67870 0.68980 1.64% 38.9 546s
117001 20602 cutoff 88 0.67870 0.68972 1.62% 38.8 550s
118569 20815 0.67894 132 62 0.67870 0.68966 1.62% 38.7 555s
120108 21034 0.67974 84 117 0.67870 0.68959 1.61% 38.5 560s
122254 21476 0.68486 35 175 0.67870 0.68953 1.60% 38.3 566s
123654 21707 0.68048 62 146 0.67870 0.68946 1.59% 38.2 571s
125194 21988 0.68539 107 101 0.67870 0.68940 1.58% 38.0 575s
126746 22313 cutoff 102 0.67870 0.68934 1.57% 37.8 581s
128368 22588 0.68050 120 93 0.67870 0.68928 1.56% 37.7 585s
129940 22891 0.68711 103 82 0.67870 0.68923 1.55% 37.5 590s
131876 23233 0.67893 72 118 0.67870 0.68917 1.54% 37.3 596s
133378 23505 0.68124 37 176 0.67870 0.68911 1.53% 37.2 600s
Cutting planes:
Gomory: 148
Cover: 8
Implied bound: 85
Projected implied bound: 58
Clique: 1
MIR: 30
Flow cover: 195
Inf proof: 411
Explored 133400 nodes (4966260 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.678696 0.678696 0.678696
Time limit reached
Best objective 6.786963334253e-01, best bound 6.891128853534e-01, gap 1.5348%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 6
Seed for training 752
Seed for simulation 234
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4132654379177417
fun: -0.4131571663109133
message: 'Optimization terminated successfully.'
nfev: 278
nit: 3
status: 0
success: True
x: array([336.89324967, 2. , 2.00000964])
xopt: array([336., 2., 3.])
zopt: array([336., 338., 341.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp83fq6ijl.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpisdjhoto.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.413265
Presolve removed 899 rows and 580 columns
Presolve time: 0.03s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.701773e-01, 1356 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87018 0 167 0.41327 0.87018 111% - 0s
0 0 0.82043 0 155 0.41327 0.82043 98.5% - 0s
0 0 0.82043 0 155 0.41327 0.82043 98.5% - 0s
0 0 0.81824 0 167 0.41327 0.81824 98.0% - 0s
0 0 0.81824 0 167 0.41327 0.81824 98.0% - 0s
0 0 0.81670 0 171 0.41327 0.81670 97.6% - 0s
0 0 0.81663 0 176 0.41327 0.81663 97.6% - 0s
0 0 0.81612 0 167 0.41327 0.81612 97.5% - 0s
0 0 0.81588 0 166 0.41327 0.81588 97.4% - 0s
0 0 0.81536 0 176 0.41327 0.81536 97.3% - 0s
0 0 0.81536 0 176 0.41327 0.81536 97.3% - 0s
0 0 0.81479 0 176 0.41327 0.81479 97.2% - 0s
0 0 0.81472 0 179 0.41327 0.81472 97.1% - 0s
0 0 0.81470 0 184 0.41327 0.81470 97.1% - 0s
0 0 0.81470 0 155 0.41327 0.81470 97.1% - 0s
0 2 0.81470 0 155 0.41327 0.81470 97.1% - 0s
767 560 0.73507 64 186 0.41327 0.78408 89.7% 25.9 5s
1018 665 0.72342 45 162 0.41327 0.78408 89.7% 35.9 10s
1716 798 0.75584 30 173 0.41327 0.77105 86.6% 42.5 15s
2350 880 0.57393 36 174 0.41327 0.76431 84.9% 45.3 20s
3358 1433 0.45854 43 117 0.41327 0.75554 82.8% 42.7 25s
* 4059 1641 205 0.4490822 0.75172 67.4% 40.9 26s
4724 2043 0.57099 40 182 0.44908 0.75010 67.0% 41.4 30s
5775 2598 0.47599 67 123 0.44908 0.74566 66.0% 41.9 35s
* 6603 2028 212 0.5400137 0.74369 37.7% 41.0 38s
7025 2211 0.57925 43 158 0.54001 0.74209 37.4% 41.3 40s
8133 2709 0.58884 54 153 0.54001 0.73971 37.0% 40.6 45s
9539 3386 cutoff 49 0.54001 0.73632 36.4% 40.7 50s
10499 3787 0.55938 54 139 0.54001 0.73435 36.0% 40.8 55s
11878 4407 0.55268 76 151 0.54001 0.73065 35.3% 40.7 60s
13011 4818 0.72409 29 199 0.54001 0.72826 34.9% 40.8 65s
14688 5541 infeasible 67 0.54001 0.72595 34.4% 40.2 71s
15269 5833 cutoff 59 0.54001 0.72546 34.3% 39.8 75s
H15271 5286 0.5567814 0.72546 30.3% 39.8 75s
H15272 4479 0.5822785 0.72546 24.6% 39.8 75s
H15273 3590 0.6117217 0.72546 18.6% 39.8 75s
15814 3754 0.68391 30 163 0.61172 0.72436 18.4% 39.8 80s
17361 4350 0.70565 35 191 0.61172 0.72333 18.2% 39.1 85s
18560 4787 0.66710 55 132 0.61172 0.72193 18.0% 38.7 90s
20243 5270 0.65563 50 122 0.61172 0.72015 17.7% 38.4 96s
20734 5480 0.64757 56 155 0.61172 0.71960 17.6% 38.3 119s
20736 5481 0.70146 41 155 0.61172 0.71960 17.6% 38.3 120s
20744 5487 0.70393 67 273 0.61172 0.71960 17.6% 38.3 125s
20747 5489 0.68993 51 239 0.61172 0.71960 17.6% 38.3 132s
20749 5490 0.63696 94 246 0.61172 0.71960 17.6% 38.3 135s
20754 5493 0.70049 34 235 0.61172 0.71960 17.6% 38.3 142s
20756 5495 0.70173 42 246 0.61172 0.71960 17.6% 38.3 146s
20758 5496 0.63496 62 232 0.61172 0.71960 17.6% 38.3 150s
20761 5498 0.66695 65 242 0.61172 0.71960 17.6% 38.3 155s
20764 5500 0.62282 49 266 0.61172 0.71960 17.6% 38.3 160s
20767 5502 0.66391 68 250 0.61172 0.71960 17.6% 38.2 165s
20769 5503 0.65267 44 247 0.61172 0.71960 17.6% 38.2 170s
20772 5505 0.64379 64 258 0.61172 0.71960 17.6% 38.2 177s
20774 5507 0.67668 65 258 0.61172 0.71960 17.6% 38.2 180s
20779 5510 0.71320 49 253 0.61172 0.71960 17.6% 38.2 187s
20781 5511 0.66806 57 260 0.61172 0.71960 17.6% 38.2 191s
20783 5513 0.70725 54 264 0.61172 0.71960 17.6% 38.2 195s
20786 5515 0.64986 51 252 0.61172 0.71960 17.6% 38.2 201s
20788 5516 0.63987 39 261 0.61172 0.71960 17.6% 38.2 205s
20791 5518 0.67670 51 266 0.61172 0.71960 17.6% 38.2 210s
20795 5521 0.67628 27 256 0.61172 0.71960 17.6% 38.2 215s
20799 5523 0.62876 68 264 0.61172 0.71960 17.6% 38.2 221s
20802 5525 0.65267 44 271 0.61172 0.71960 17.6% 38.2 225s
20805 5527 0.69317 59 273 0.61172 0.71960 17.6% 38.2 230s
20810 5531 0.71448 28 282 0.61172 0.71960 17.6% 38.2 235s
20814 5533 0.64215 48 240 0.61172 0.71960 17.6% 38.2 241s
20817 5535 0.61511 102 263 0.61172 0.71960 17.6% 38.2 245s
20820 5537 0.63155 52 253 0.61172 0.71960 17.6% 38.1 251s
20823 5539 0.65071 86 275 0.61172 0.71960 17.6% 38.1 255s
20827 5542 0.63920 82 278 0.61172 0.71960 17.6% 38.1 260s
20830 5544 0.67735 44 269 0.61172 0.71960 17.6% 38.1 265s
H20831 5266 0.6128996 0.71960 17.4% 38.1 269s
20833 5267 0.67917 61 277 0.61290 0.71960 17.4% 38.1 270s
20835 5268 0.63851 69 285 0.61290 0.71960 17.4% 38.1 275s
20838 5270 0.70138 31 268 0.61290 0.71960 17.4% 38.1 281s
H20839 5005 0.6138894 0.71960 17.2% 38.1 285s
20843 5008 0.69381 45 284 0.61389 0.71960 17.2% 38.1 290s
20845 5009 0.62771 69 281 0.61389 0.71960 17.2% 38.1 295s
20848 5011 0.62301 81 282 0.61389 0.71960 17.2% 38.1 300s
20850 5012 0.70617 54 290 0.61389 0.71960 17.2% 38.1 305s
20853 5014 0.65115 70 284 0.61389 0.71960 17.2% 38.1 310s
20856 5016 0.70173 42 266 0.61389 0.71960 17.2% 38.1 316s
20858 5018 0.63496 62 279 0.61389 0.71960 17.2% 38.1 321s
20862 5020 0.66346 46 274 0.61389 0.71960 17.2% 38.1 326s
20864 5022 0.62282 49 276 0.61389 0.71960 17.2% 38.1 330s
20868 5024 0.64192 54 272 0.61389 0.71960 17.2% 38.1 337s
20870 5026 0.64806 48 270 0.61389 0.71960 17.2% 38.1 340s
H20871 4773 0.6138894 0.71960 17.2% 38.1 343s
20874 4775 0.67668 65 280 0.61389 0.71960 17.2% 38.0 345s
20877 4777 0.65936 48 289 0.61389 0.71960 17.2% 38.0 350s
20880 4779 0.64254 54 286 0.61389 0.71960 17.2% 38.0 355s
H20881 4538 0.6409934 0.71960 12.3% 38.0 358s
20883 4539 0.70725 54 298 0.64099 0.71960 12.3% 38.0 360s
20886 4541 0.64986 51 283 0.64099 0.71960 12.3% 38.0 365s
20890 4544 0.70375 43 295 0.64099 0.71960 12.3% 38.0 370s
20893 4546 0.64099 63 292 0.64099 0.71960 12.3% 38.0 375s
20896 4548 0.71565 49 283 0.64099 0.71960 12.3% 38.0 382s
20898 4549 0.64099 74 261 0.64099 0.71960 12.3% 38.0 387s
20901 4551 0.64099 64 273 0.64099 0.71960 12.3% 38.0 391s
20903 4553 0.68867 56 285 0.64099 0.71960 12.3% 38.0 396s
20905 4554 0.69317 59 283 0.64099 0.71960 12.3% 38.0 400s
20908 4556 0.71722 57 290 0.64099 0.71960 12.3% 38.0 406s
20910 4557 0.71448 28 273 0.64099 0.71960 12.3% 38.0 410s
20913 4559 0.64099 70 290 0.64099 0.71960 12.3% 38.0 417s
20915 4561 0.64099 67 287 0.64099 0.71960 12.3% 38.0 420s
20918 4563 0.69536 58 287 0.64099 0.71960 12.3% 38.0 425s
20921 4565 0.64099 27 280 0.64099 0.71960 12.3% 38.0 431s
20923 4566 0.65071 86 282 0.64099 0.71960 12.3% 38.0 436s
20925 4567 0.64099 45 288 0.64099 0.71960 12.3% 38.0 440s
20927 4569 0.64099 82 294 0.64099 0.71960 12.3% 38.0 445s
20930 4571 0.67735 44 295 0.64099 0.71960 12.3% 37.9 450s
20934 4573 0.64757 56 289 0.64099 0.71960 12.3% 37.9 455s
20937 4575 0.69638 41 291 0.64099 0.71960 12.3% 37.9 462s
20939 4577 0.64099 58 291 0.64099 0.71960 12.3% 37.9 466s
20941 4578 0.64099 87 282 0.64099 0.71960 12.3% 37.9 470s
20943 4579 0.69381 45 297 0.64099 0.71960 12.3% 37.9 475s
20946 4581 0.64099 51 283 0.64099 0.71960 12.3% 37.9 481s
20947 4585 0.71960 31 279 0.64099 0.71960 12.3% 40.3 491s
20949 4586 infeasible 32 0.64099 0.71960 12.3% 40.3 499s
20953 4587 0.70258 33 263 0.64099 0.71960 12.3% 40.4 506s
20965 4591 0.68980 35 252 0.64099 0.71776 12.0% 40.4 510s
H20976 4360 0.6442078 0.71702 11.3% 40.5 513s
20987 4363 0.68973 37 241 0.64421 0.71702 11.3% 40.6 515s
H21086 4157 0.6514210 0.71553 9.84% 40.9 521s
21209 4176 0.70282 52 195 0.65142 0.71533 9.81% 41.1 525s
21566 4295 cutoff 41 0.65142 0.71472 9.72% 41.3 530s
*21578 4080 234 0.6521011 0.71472 9.60% 41.3 530s
21824 4128 0.66811 51 199 0.65210 0.71376 9.46% 42.0 535s
22214 4156 0.68661 46 181 0.65210 0.71220 9.22% 42.5 540s
22570 4228 0.67487 53 236 0.65210 0.71144 9.10% 42.8 545s
22901 4296 0.69382 56 169 0.65210 0.71067 8.98% 43.3 550s
23293 4377 0.70185 52 189 0.65210 0.71004 8.88% 43.9 556s
H23613 4158 0.6564882 0.70970 8.11% 44.3 562s
23788 4176 0.68647 58 174 0.65649 0.70926 8.04% 44.4 565s
24012 4201 0.70797 46 198 0.65649 0.70865 7.95% 45.1 571s
24281 4229 0.69341 45 242 0.65649 0.70829 7.89% 45.6 577s
24531 4232 cutoff 51 0.65649 0.70769 7.80% 46.2 581s
24863 4291 0.68822 78 132 0.65649 0.70728 7.74% 46.7 586s
25314 4386 cutoff 66 0.65649 0.70674 7.65% 47.0 592s
25553 4442 0.66748 54 165 0.65649 0.70648 7.61% 47.2 595s
25949 4516 0.70463 54 217 0.65649 0.70604 7.55% 47.8 600s
Cutting planes:
Gomory: 184
Cover: 10
Implied bound: 32
Projected implied bound: 54
MIR: 172
StrongCG: 1
Flow cover: 644
Inf proof: 51
Zero half: 3
Explored 26042 nodes (1250395 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.656488 0.652101 0.651421 ... 0.582278
Time limit reached
Best objective 6.564881600078e-01, best bound 7.060406541852e-01, gap 7.5481%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo0juki32.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfmju44_4.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 875 rows and 623 columns
Presolve time: 0.00s
Presolved: 386 rows, 458 columns, 1906 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 2.0076384e+01 5.202500e+02 0.000000e+00 0s
207 1.2512281e+01 0.000000e+00 0.000000e+00 0s
Solved in 207 iterations and 0.01 seconds
Optimal objective 1.251228062e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.05470433e-08, -1.06566224e-08, -4.79472356e-07]])
fopt: 2.0659541412703235
fun: -2.074493587116949
message: 'Optimization terminated successfully.'
nfev: 203
nit: 2
status: 0
success: True
x: array([ 16.11680529, -1. , -87.99580146])
xopt: array([16., 0., 0.])
zopt: array([16., 16., 16.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.03393025, 0.00164899, 0.00898672]])
fopt: 1.6390063993595292
fun: -1.6515159501280192
message: 'Optimization terminated successfully.'
nfev: 195
nit: 3
status: 0
success: True
x: array([42.08466644, -0.99739458, -7.98747885])
xopt: array([42., 0., 0.])
zopt: array([42., 42., 42.])
*******************************************
Period: 3
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.690894964633499
fun: -1.6942236771832424
message: 'Optimization terminated successfully.'
nfev: 266
nit: 2
status: 0
success: True
x: array([61.24431895, 2. , 1. ])
xopt: array([61., 2., 1.])
zopt: array([61., 63., 64.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 1.59550759, -0.03857277, -0.03857277]])
fopt: 1.663641690515493
fun: -1.6772842751110901
message: 'Optimization terminated successfully.'
nfev: 443
nit: 6
status: 0
success: True
x: array([85.16629405, -1.99812751, -0.99919853])
xopt: array([85., 0., 0.])
zopt: array([85., 85., 85.])
*******************************************
Period: 5
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.5291475780160544
fun: -1.535572218927001
message: 'Optimization terminated successfully.'
nfev: 222
nit: 2
status: 0
success: True
x: array([107.21941275, 1.00211939, 1.00026759])
xopt: array([107., 1., 1.])
zopt: array([107., 108., 109.])
*******************************************
Period: 6
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.53755705e-06, 1.03969244e-09, 0.00000000e+00]])
fopt: 1.339397990274994
fun: -1.3362101522114078
message: 'Optimization terminated successfully.'
nfev: 233
nit: 2
status: 0
success: True
x: array([131.92010112, 1.08852337, 1. ])
xopt: array([131., 2., 1.])
zopt: array([131., 133., 134.])
*******************************************
Period: 7
direc: array([[ 1.30008069e-06, 5.30922126e-11, 7.66502309e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 2.60016139e-06, -1.18624092e-03, -6.86917676e-01]])
fopt: 1.2812055569440433
fun: -1.2835047594676123
message: 'Optimization terminated successfully.'
nfev: 315
nit: 4
status: 0
success: True
x: array([153.93914083, 1.00262082, -0.98520498])
xopt: array([153., 2., 0.])
zopt: array([153., 155., 155.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.2307496862761336
fun: -1.2337825527158417
message: 'Optimization terminated successfully.'
nfev: 249
nit: 3
status: 0
success: True
x: array([174.99994906, 1.12175975, -3.13079663])
xopt: array([174., 2., 0.])
zopt: array([174., 176., 176.])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1528
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0331110324682327
fun: -1.0366456829811461
message: 'Optimization terminated successfully.'
nfev: 209
nit: 3
status: 0
success: True
x: array([ 1.95004200e+02, -8.81125857e-02, -9.98199408e-01])
xopt: array([195., 0., 0.])
zopt: array([195., 195., 195.])
*******************************************
Period: 11
direc: array([[ 0.56666404, 0. , 8.00764188],
[ 0. , 1. , 0. ],
[-0.06349533, 0. , 0. ]])
fopt: 0.9805065774314491
fun: -0.9781937384417235
message: 'Optimization terminated successfully.'
nfev: 649
nit: 6
status: 0
success: True
x: array([193.9993491 , 1.01053244, 12.15566757])
xopt: array([193., 2., 13.])
zopt: array([193., 195., 208.])
*******************************************
Period: 12
direc: array([[1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.17250398e-02, 0.00000000e+00, 3.30792342e+01]])
fopt: 0.967041687162737
fun: -0.9680185362195961
message: 'Optimization terminated successfully.'
nfev: 698
nit: 7
status: 0
success: True
x: array([192.99980211, 2.00000002, 39.00491875])
xopt: array([192., 3., 39.])
zopt: array([192., 195., 234.])
*******************************************
Period: 13
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.33594456e-03, -2.25787766e-09, -2.79619999e-01]])
fopt: 0.931754549892296
fun: -0.9322979693027161
message: 'Optimization terminated successfully.'
nfev: 494
nit: 6
status: 0
success: True
x: array([193.99981014, 1.05948227, 55.0861418 ])
xopt: array([193., 2., 55.])
zopt: array([193., 195., 250.])
*******************************************
Period: 14
direc: array([[-0. , 0. , 0. ],
[-0.18793446, 0. , 1. ],
[-0.07498575, 0. , 1.05616574]])
fopt: 0.7261337594431964
fun: -0.7244039388705555
message: 'Optimization terminated successfully.'
nfev: 430
nit: 5
status: 0
success: True
x: array([192.66505705, 2.00142196, 7.05616574])
xopt: array([192., 3., 8.])
zopt: array([192., 195., 203.])
*******************************************
Period: 15
direc: array([[1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.57912485e-02, 0.00000000e+00, 9.52783765e+01]])
fopt: 0.9417564052534046
fun: -0.9435257116528226
message: 'Optimization terminated successfully.'
nfev: 523
nit: 6
status: 0
success: True
x: array([192.99340952, 2.00002887, 101.04458093])
xopt: array([192., 3., 101.])
zopt: array([192., 195., 296.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.95461894, 0. , 119.0728761 ]])
fopt: 0.9359363346543643
fun: -0.9375738773889191
message: 'Optimization terminated successfully.'
nfev: 568
nit: 6
status: 0
success: True
x: array([193.37181909, 2. , 125.12793354])
xopt: array([193., 2., 125.])
zopt: array([193., 195., 320.])
*******************************************
Period: 17
direc: array([[ 1.70173877e-03, 3.23069768e-16, 1.01507950e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.90592689e-04, 0.00000000e+00, -1.81852976e-01]])
fopt: 0.937320826004702
fun: -0.9391054158115754
message: 'Optimization terminated successfully.'
nfev: 1224
nit: 12
status: 0
success: True
x: array([193.99930645, 1.00000141, 146.00872897])
xopt: array([193., 2., 146.])
zopt: array([193., 195., 341.])
*******************************************
Period: 18
direc: array([[0.24314505, 0. , 0.00126142],
[0. , 1. , 0. ],
[0.24444297, 0. , 1.00126815]])
fopt: 0.5286159992365753
fun: -0.5274538744674474
message: 'Optimization terminated successfully.'
nfev: 411
nit: 4
status: 0
success: True
x: array([193.91994099, 1.00801747, 4.00474117])
xopt: array([193., 2., 5.])
zopt: array([193., 195., 200.])
*******************************************
Period: 19
direc: array([[ 4.25264781e-08, 2.21390497e-10, 2.21390497e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.4993483254680926
fun: -0.5002257449167697
message: 'Optimization terminated successfully.'
nfev: 607
nit: 5
status: 0
success: True
x: array([193.08809228, 2. , 6. ])
xopt: array([193., 2., 7.])
zopt: array([193., 195., 202.])
*******************************************
Period: 20
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[3.83602183e-06, 1.99389799e-08, 1.99389799e-08]])
fopt: 0.46171262058899026
fun: -0.46138410060779933
message: 'Optimization terminated successfully.'
nfev: 377
nit: 3
status: 0
success: True
x: array([193.38807249, 2.00000002, 3.00000002])
xopt: array([193., 2., 4.])
zopt: array([193., 195., 199.])
*******************************************
Period: 21
direc: array([[3.74817747e-02, 0.00000000e+00, 1.93446411e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.42841024031602587
fun: -0.42588343743850005
message: 'Optimization terminated successfully.'
nfev: 389
nit: 3
status: 0
success: True
x: array([194.7954045 , 1. , 3.00019345])
xopt: array([194., 1., 4.])
zopt: array([194., 195., 199.])
*******************************************
Period: 22
direc: array([[ 1.45510965e-02, 7.55308371e-05, 7.55308371e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.04460770e-14, 1.12925064e-15, -5.11850406e-06]])
fopt: 0.7539415331798511
fun: -0.752411586860812
message: 'Optimization terminated successfully.'
nfev: 973
nit: 8
status: 0
success: True
x: array([193.66561296, 2.00007255, 162.78040152])
xopt: array([193., 2., 162.])
zopt: array([193., 195., 357.])
*******************************************
Period: 23
direc: array([[ 2.00984880e-07, -1.05365414e-09, 1.03618120e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.45678594054830884
fun: -0.45743602980616044
message: 'Optimization terminated successfully.'
nfev: 312
nit: 3
status: 0
success: True
x: array([ 1.94966924e+02, -1.29199755e-02, 3.00000000e+00])
xopt: array([195., 0., 4.])
zopt: array([195., 195., 199.])
*******************************************
Period: 24
direc: array([[6.86824046e-06, 3.56728965e-08, 3.56728965e-08],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.69078458e-14, 3.99451020e-16, 2.99533035e-08]])
fopt: 0.47122667961518816
fun: -0.47035540761672695
message: 'Optimization terminated successfully.'
nfev: 380
nit: 3
status: 0
success: True
x: array([193.5338625 , 2.00000001, 3.00000004])
xopt: array([193., 2., 4.])
zopt: array([193., 195., 199.])
*******************************************
Period: 25
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 1.01648947]])
fopt: 0.5023496010533867
fun: -0.5029557366501279
message: 'Optimization terminated successfully.'
nfev: 416
nit: 5
status: 0
success: True
x: array([193.01594817, 2.00000573, 6.01572138])
xopt: array([193., 2., 7.])
zopt: array([193., 195., 202.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0. , -0. , -0.31745754]])
fopt: 0.7385329984400383
fun: -0.738435355688293
message: 'Optimization terminated successfully.'
nfev: 558
nit: 7
status: 0
success: True
x: array([193.53590793, 2.00192034, 162.00046387])
xopt: array([193., 2., 162.])
zopt: array([193., 195., 357.])
*******************************************
Period: 27
direc: array([[ 6.19019527e-03, 3.21980196e-05, 3.21980196e-05],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.30528280e-08, -1.71922920e-10, -5.33968830e-06]])
fopt: 0.5177111358033456
fun: -0.5177954792028743
message: 'Optimization terminated successfully.'
nfev: 504
nit: 4
status: 0
success: True
x: array([193.26010344, 2.00003074, 3.00001618])
xopt: array([193., 2., 4.])
zopt: array([193., 195., 199.])
*******************************************
Period: 28
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -2.85845555e-05, 1.53516252e+02]])
fopt: 0.7425355025036386
fun: -0.7423512104371713
message: 'Optimization terminated successfully.'
nfev: 608
nit: 7
status: 0
success: True
x: array([194.17498794, 1.00561159, 162.52920088])
xopt: array([194., 1., 162.])
zopt: array([194., 195., 357.])
*******************************************
Period: 29
direc: array([[-3.22248807e-03, -1.35585482e-07, -0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.61616615e-03, -2.27383385e-05, 4.00000000e+00]])
fopt: 0.7469954168065344
fun: -0.7471982390987755
message: 'Optimization terminated successfully.'
nfev: 747
nit: 8
status: 0
success: True
x: array([193.99715238, 1.0001896 , 162.2209801 ])
xopt: array([193., 2., 162.])
zopt: array([193., 195., 357.])
*******************************************
Period: 30
direc: array([[ 2.22531542e-08, 1.15658936e-10, 1.15658936e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -0.00000000e+00, -2.62292214e-02]])
fopt: 0.541959591488428
fun: -0.5416772429739286
message: 'Optimization terminated successfully.'
nfev: 412
nit: 4
status: 0
success: True
x: array([193.40324179, 2. , 4.14718721])
xopt: array([193., 2., 5.])
zopt: array([193., 195., 200.])
*******************************************
Period: 31
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 7.78917559e-18, -2.82949644e-11]])
fopt: 0.7291941246794308
fun: -0.73071195223284
message: 'Optimization terminated successfully.'
nfev: 589
nit: 6
status: 0
success: True
x: array([195.20617578, 1.00813054, 209.13996827])
xopt: array([195., 2., 210.])
zopt: array([195., 197., 407.])
*******************************************
Period: 32
direc: array([[-1.86251007e-04, 2.12008074e-06, -1.91484281e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.98271533e-02, 3.39471138e-04, 1.60144617e+02]])
fopt: 0.7171343316326371
fun: -0.7190345772263167
message: 'Optimization terminated successfully.'
nfev: 381
nit: 4
status: 0
success: True
x: array([196.26623552, -1.23176886, 162.06741326])
xopt: array([196., 0., 162.])
zopt: array([196., 196., 358.])
*******************************************
Period: 33
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -1.26051011, 202.46662455]])
fopt: 0.7219819165387367
fun: -0.7198770581230408
message: 'Optimization terminated successfully.'
nfev: 306
nit: 4
status: 0
success: True
x: array([ 1.94904754e+02, -1.21004334e-01, 2.07464460e+02])
xopt: array([195., 0., 208.])
zopt: array([195., 195., 403.])
*******************************************
Period: 34
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 157.33474364]])
fopt: 0.7297322586948363
fun: -0.7305698153242824
message: 'Optimization terminated successfully.'
nfev: 587
nit: 6
status: 0
success: True
x: array([194.59318751, 1.00813061, 162.00382582])
xopt: array([194., 1., 162.])
zopt: array([194., 195., 357.])
*******************************************
Period: 35
direc: array([[2.51129981e-02, 1.30273228e-04, 1.30273228e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.93021613e+00, 1.00129616e-02, 1.58134751e+02]])
fopt: 0.7339803690296172
fun: -0.733270386893489
message: 'Optimization terminated successfully.'
nfev: 464
nit: 4
status: 0
success: True
x: array([193.78234822, 2.00000756, 162.18210626])
xopt: array([193., 2., 162.])
zopt: array([193., 195., 357.])
*******************************************
Period: 36
direc: array([[3.91275934e-05, 2.03376812e-07, 2.03376812e-07],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.4476354394087569
fun: -0.4472777949228077
message: 'Optimization terminated successfully.'
nfev: 391
nit: 3
status: 0
success: True
x: array([193.38968741, 2.0000002 , 3.0000002 ])
xopt: array([193., 2., 4.])
zopt: array([193., 195., 199.])
*******************************************
Period: 37
direc: array([[ 4.72990682e-02, 7.03879952e-08, 2.47838671e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.07777279e-02, -9.38773744e-05, 1.00021367e+00]])
fopt: 0.434413225978946
fun: -0.43427812549228156
message: 'Optimization terminated successfully.'
nfev: 390
nit: 4
status: 0
success: True
x: array([194.26675618, 1.00008662, 4.01266105])
xopt: array([194., 1., 5.])
zopt: array([194., 195., 200.])
*******************************************
Period: 38
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.11832423e-04, 1.58854118e+02],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.7313125550049481
fun: -0.7316544916490171
message: 'Optimization terminated successfully.'
nfev: 728
nit: 8
status: 0
success: True
x: array([195.22655067, 1.0004533 , 162.00226977])
xopt: array([195., 1., 162.])
zopt: array([195., 196., 358.])
*******************************************
Period: 39
direc: array([[ 1.64113846e-03, -1.25931276e-05, 8.43367046e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.72993173e-09, 1.32745638e-11, -1.05411357e-06]])
fopt: 0.40681730708976743
fun: -0.4064938587542332
message: 'Optimization terminated successfully.'
nfev: 381
nit: 3
status: 0
success: True
x: array([195.59526096, -0.49323208, 3.00000738])
xopt: array([195., 0., 4.])
zopt: array([195., 195., 199.])
*******************************************
Period: 40
direc: array([[ 1.14581197e-01, -1.07849410e-03, 5.88214784e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.78725472e-08, 2.21510811e-08, -7.80586219e-07]])
fopt: 0.3931414273665092
fun: -0.3927142135883818
message: 'Optimization terminated successfully.'
nfev: 329
nit: 3
status: 0
success: True
x: array([195.90746414, -0.86189779, 3.00057746])
xopt: array([195., 0., 4.])
zopt: array([195., 195., 199.])
*******************************************
Period: 41
direc: array([[ 1.56302976e-04, -1.45985552e-06, 8.02268245e-07],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, 0.00000000e+00]])
fopt: 0.38047713558787144
fun: -0.38015957829758623
message: 'Optimization terminated successfully.'
nfev: 354
nit: 3
status: 0
success: True
x: array([195.82648444, -0.81976862, 3.0000008 ])
xopt: array([195., 0., 4.])
zopt: array([195., 195., 199.])
*******************************************
Period: 42
direc: array([[ 0. , -0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -13.94843551, 188.84689179]])
fopt: 0.6959273453249853
fun: -0.695518315474823
message: 'Optimization terminated successfully.'
nfev: 503
nit: 7
status: 0
success: True
x: array([195.610608 , -0.4350784 , 208.08971085])
xopt: array([196., 0., 209.])
zopt: array([196., 196., 405.])
*******************************************
Period: 43
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 0. , 204.59746311]])
fopt: 0.694795261806567
fun: -0.6934980784036462
message: 'Optimization terminated successfully.'
nfev: 587
nit: 7
status: 0
success: True
x: array([194.78119731, 2.00025582, 209.00156812])
xopt: array([194., 3., 210.])
zopt: array([194., 197., 407.])
*******************************************
Period: 44
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.20091216e+00, -3.41550265e-06, 9.28594323e+00]])
fopt: 0.6838149945247689
fun: -0.6849951215132296
message: 'Optimization terminated successfully.'
nfev: 462
nit: 6
status: 0
success: True
x: array([211.93282657, -1.88968028, 224.00034148])
xopt: array([211., 0., 225.])
zopt: array([211., 211., 436.])
*******************************************
Period: 45
direc: array([[ 0. , -0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -0.00243489, 0.94427191]])
fopt: 0.3991689294331177
fun: -0.39906123248791225
message: 'Optimization terminated successfully.'
nfev: 365
nit: 5
status: 0
success: True
x: array([196.06143524, -1.05445151, 15.02014788])
xopt: array([196., 0., 16.])
zopt: array([196., 196., 212.])
*******************************************
Period: 46
direc: array([[ 3.29053313e-09, -3.87674139e-11, 1.68551706e-11],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.3847868674525165
fun: -0.38479332615300027
message: 'Optimization terminated successfully.'
nfev: 280
nit: 3
status: 0
success: True
x: array([196.22395816, -1.29162759, 3.16587634])
xopt: array([196., 0., 4.])
zopt: array([196., 196., 200.])
*******************************************
Period: 47
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 5.17536165]])
fopt: 0.6737300920849877
fun: -0.6731072103946278
message: 'Optimization terminated successfully.'
nfev: 640
nit: 8
status: 0
success: True
x: array([195.06083109, 2.00040613, 210.00019286])
xopt: array([195., 3., 211.])
zopt: array([195., 198., 409.])
*******************************************
Period: 48
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -3.56547481e-03, 2.03301489e+02]])
fopt: 0.6708439473909735
fun: -0.6692067380997895
message: 'Optimization terminated successfully.'
nfev: 509
nit: 6
status: 0
success: True
x: array([194.60315373, 1.00112592, 208.02860852])
xopt: array([194., 2., 209.])
zopt: array([194., 196., 405.])
*******************************************
Period: 49
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0.00806293, 5.72139457]])
fopt: 0.6685458643056417
fun: -0.6678850932199135
message: 'Optimization terminated successfully.'
nfev: 786
nit: 9
status: 0
success: True
x: array([195.33693449, 1.01648042, 209.00499422])
xopt: array([195., 2., 210.])
zopt: array([195., 197., 407.])
*******************************************
Period: 50
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -4.10802473e-09, 5.05572813e+00],
[ 0.00000000e+00, -1.12060263e-07, -5.94374376e-11]])
fopt: 0.6645469976524558
fun: -0.664512605685446
message: 'Optimization terminated successfully.'
nfev: 595
nit: 7
status: 0
success: True
x: array([195.03542381, 2.0007179 , 210.01375827])
xopt: array([195., 3., 211.])
zopt: array([195., 198., 409.])
*******************************************
Period: 51
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -1.97139067e+00, 2.00132354e+02],
[-0.00000000e+00, -5.46144739e-05, -0.00000000e+00]])
fopt: 0.6589488977882411
fun: -0.6579532230581283
message: 'Optimization terminated successfully.'
nfev: 473
nit: 6
status: 0
success: True
x: array([194.36549911, 1.0286202 , 207.01764634])
xopt: array([194., 1., 208.])
zopt: array([194., 195., 403.])
*******************************************
Period: 52
direc: array([[ 8.27633772e-07, 2.30333160e-12, 4.38810973e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.25508637e-12, -1.74083196e-17, -7.48395535e-06]])
fopt: 0.3919726514039003
fun: -0.39197160364654327
message: 'Optimization terminated successfully.'
nfev: 532
nit: 4
status: 0
success: True
x: array([194.15980449, 1.00053757, 3.01412474])
xopt: array([194., 1., 4.])
zopt: array([194., 195., 199.])
*******************************************
Period: 53
direc: array([[ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, -9.56678348e-11, -7.82264751e-11],
[-0.00000000e+00, 3.71154305e-11, -3.37150900e-07]])
fopt: 0.6395070846497003
fun: -0.6375997360279206
message: 'Optimization terminated successfully.'
nfev: 542
nit: 6
status: 0
success: True
x: array([194.74970263, 2.20824864, 209.00374165])
xopt: array([194., 3., 210.])
zopt: array([194., 197., 407.])
*******************************************
Period: 54
direc: array([[-2.44280411e+00, 0.00000000e+00, 2.01405160e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.56066447e+00, 5.49253512e-03, 1.10410673e+02]])
fopt: 0.6347330632740433
fun: -0.6336499485715423
message: 'Optimization terminated successfully.'
nfev: 715
nit: 8
status: 0
success: True
x: array([192.00045493, 3.02148806, 208.37182181])
xopt: array([192., 4., 209.])
zopt: array([192., 196., 405.])
*******************************************
Period: 55
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-2.01178774, 0. , 1.16751242]])
fopt: 0.6319232744025609
fun: -0.631490518775637
message: 'Optimization terminated successfully.'
nfev: 693
nit: 8
status: 0
success: True
x: array([192.00062222, 3.00022682, 208.00007714])
xopt: array([192., 4., 209.])
zopt: array([192., 196., 405.])
*******************************************
Period: 56
direc: array([[-99.82883943, 0. , 79.37774446],
[ 0. , 1. , 0. ],
[ -0.64029272, 0. , 117.17666305]])
fopt: 0.6265253154264384
fun: -0.624904619993374
message: 'Optimization terminated successfully.'
nfev: 798
nit: 9
status: 0
success: True
x: array([193.74853889, 2.02328322, 208.03450008])
xopt: array([193., 3., 209.])
zopt: array([193., 196., 405.])
*******************************************
Period: 57
direc: array([[ 1. , 0. , 0. ],
[-0.12321319, 1.05497289, 1.09721418],
[-3.83821146, 8.02990069, 4.46649629]])
fopt: 0.6201797655712911
fun: -0.6206902962087011
message: 'Optimization terminated successfully.'
nfev: 603
nit: 8
status: 0
success: True
x: array([ 85.99999951, 203. , 138.44406052])
xopt: array([ 85., 203., 138.])
zopt: array([ 85., 288., 426.])
*******************************************
Period: 58
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-33.53134315, 66.27617997, 37.93251016]])
fopt: 0.6079420705688608
fun: -0.6080927742980581
message: 'Optimization terminated successfully.'
nfev: 545
nit: 8
status: 0
success: True
x: array([ 89.9999952, 224. , 129.1116695])
xopt: array([ 90., 225., 130.])
zopt: array([ 90., 315., 445.])
*******************************************
Period: 59
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.49732669e+02, -1.56733920e-07, 2.17120958e+02]])
fopt: 0.6115106236979752
fun: -0.611837696250685
message: 'Optimization terminated successfully.'
nfev: 458
nit: 5
status: 0
success: True
x: array([206.15450845, 1.00423145, 221.00075699])
xopt: array([206., 2., 222.])
zopt: array([206., 208., 430.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgzn2llh1.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm6pxp_ni.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [6e-02, 6e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.929679
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.06595 0.929679
Optimal solution found (tolerance 1.00e-02)
Best objective 2.065954141270e+00, best bound 2.065954141270e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9s4j17dc.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp70k9wd4p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.85665
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.639006e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.6390064 1.63901 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.63901 0.85665
Optimal solution found (tolerance 1.00e-02)
Best objective 1.639006399360e+00, best bound 1.639006399360e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu9ot715j.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp322zvsd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.677531
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.141819e+00, 26 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14182 0 6 0.67753 2.14182 216% - 0s
H 0 0 1.6962751 2.14182 26.3% - 0s
0 0 cutoff 0 1.69628 1.69628 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 1
Flow path: 1
Explored 1 nodes (32 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.69628 0.677531
Optimal solution found (tolerance 1.00e-02)
Best objective 1.696275053543e+00, best bound 1.696275053543e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvu6oumda.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqgckghgf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09214
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.148169e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.14817 0 3 1.09214 2.14817 96.7% - 0s
H 0 0 1.2910866 2.14817 66.4% - 0s
H 0 0 1.6727338 2.14817 28.4% - 0s
0 0 cutoff 0 1.67273 1.67273 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 3
Explored 1 nodes (59 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.67273 1.29109 1.09214
Optimal solution found (tolerance 1.00e-02)
Best objective 1.672733804696e+00, best bound 1.672733804696e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxm9kx8fs.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn1zbheln.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20102
Presolve removed 157 rows and 110 columns
Presolve time: 0.00s
Presolved: 80 rows, 65 columns, 267 nonzeros
Variable types: 33 continuous, 32 integer (29 binary)
Root relaxation: objective 2.059727e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.05973 0 3 1.20102 2.05973 71.5% - 0s
H 0 0 1.5791811 2.05973 30.4% - 0s
H 0 0 1.6195302 2.05973 27.2% - 0s
0 0 cutoff 0 1.61953 1.61953 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 3
Explored 1 nodes (56 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.61953 1.57918 1.20102
Optimal solution found (tolerance 1.00e-02)
Best objective 1.619530238771e+00, best bound 1.619530238771e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps6aexn3w.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_fb24bya.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25708
Presolve removed 150 rows and 102 columns
Presolve time: 0.00s
Presolved: 133 rows, 106 columns, 454 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 2.034000e+00, 78 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.03400 0 5 1.25708 2.03400 61.8% - 0s
H 0 0 1.5513425 2.03400 31.1% - 0s
0 0 1.57178 0 2 1.55134 1.57178 1.32% - 0s
0 0 cutoff 0 1.55134 1.55134 0.00% - 0s
Cutting planes:
Gomory: 4
Flow cover: 3
Explored 1 nodes (103 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.55134 1.25708
Optimal solution found (tolerance 1.00e-02)
Best objective 1.551342467611e+00, best bound 1.551342467611e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb8ksalq8.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxiv6ymoy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19518
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.092559e+00, 126 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.09256 0 7 1.19518 2.09256 75.1% - 0s
H 0 0 1.5211965 2.09256 37.6% - 0s
0 0 1.91724 0 14 1.52120 1.91724 26.0% - 0s
0 0 1.60741 0 2 1.52120 1.60741 5.67% - 0s
H 0 0 1.5454901 1.60741 4.01% - 0s
0 0 1.60741 0 5 1.54549 1.60741 4.01% - 0s
0 0 1.60741 0 5 1.54549 1.60741 4.01% - 0s
0 0 1.60741 0 2 1.54549 1.60741 4.01% - 0s
H 0 0 1.5524174 1.60741 3.54% - 0s
0 0 1.59845 0 1 1.55242 1.59845 2.97% - 0s
0 0 infeasible 0 1.55242 1.55242 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 1
Explored 1 nodes (241 simplex iterations) in 0.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.55242 1.54549 1.5212 1.19518
Optimal solution found (tolerance 1.00e-02)
Best objective 1.552417443824e+00, best bound 1.552417443824e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfflaat60.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj9hbm8f9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24643
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.121054e+00, 137 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.12105 0 8 1.24643 2.12105 70.2% - 0s
0 0 1.81553 0 15 1.24643 1.81553 45.7% - 0s
H 0 0 1.5190069 1.81553 19.5% - 0s
0 0 1.65539 0 6 1.51901 1.65539 8.98% - 0s
0 0 1.65539 0 6 1.51901 1.65539 8.98% - 0s
0 0 1.65539 0 6 1.51901 1.65539 8.98% - 0s
H 0 0 1.5382764 1.65539 7.61% - 0s
0 0 1.65539 0 5 1.53828 1.65539 7.61% - 0s
0 0 1.64124 0 1 1.53828 1.64124 6.69% - 0s
H 0 0 1.5596133 1.64124 5.23% - 0s
0 0 1.61979 0 2 1.55961 1.61979 3.86% - 0s
0 0 1.61040 0 2 1.55961 1.61040 3.26% - 0s
0 0 1.60897 0 3 1.55961 1.60897 3.16% - 0s
0 0 1.60897 0 3 1.55961 1.60897 3.16% - 0s
0 0 1.60889 0 3 1.55961 1.60889 3.16% - 0s
0 0 1.60766 0 2 1.55961 1.60766 3.08% - 0s
0 0 1.60766 0 2 1.55961 1.60766 3.08% - 0s
H 0 0 1.5596133 1.60766 3.08% - 0s
0 0 1.60766 0 2 1.55961 1.60766 3.08% - 0s
0 0 1.60766 0 2 1.55961 1.60766 3.08% - 0s
0 0 1.60707 0 2 1.55961 1.60707 3.04% - 0s
0 0 1.56481 0 1 1.55961 1.56481 0.33% - 0s
Cutting planes:
Gomory: 1
Implied bound: 1
MIR: 3
Flow cover: 2
Explored 1 nodes (368 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.55961 1.55961 1.53828 ... 1.24643
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.2098e-06) exceeds tolerance
Best objective 1.559613297323e+00, best bound 1.564814614425e+00, gap 0.3335%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb76364bz.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxiookkbc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.2904
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.112448e+00, 146 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.11245 0 9 1.29040 2.11245 63.7% - 0s
H 0 0 1.5161746 2.11245 39.3% - 0s
0 0 1.74737 0 16 1.51617 1.74737 15.2% - 0s
0 0 1.64618 0 3 1.51617 1.64618 8.57% - 0s
0 0 1.64617 0 6 1.51617 1.64617 8.57% - 0s
0 0 1.64584 0 6 1.51617 1.64584 8.55% - 0s
0 0 1.64584 0 6 1.51617 1.64584 8.55% - 0s
H 0 0 1.5362793 1.64584 7.13% - 0s
0 0 1.64584 0 7 1.53628 1.64584 7.13% - 0s
0 0 1.63814 0 3 1.53628 1.63814 6.63% - 0s
0 0 1.63093 0 2 1.53628 1.63093 6.16% - 0s
0 0 1.60107 0 3 1.53628 1.60107 4.22% - 0s
0 0 1.60080 0 5 1.53628 1.60080 4.20% - 0s
0 0 1.59747 0 5 1.53628 1.59747 3.98% - 0s
0 0 1.59693 0 5 1.53628 1.59693 3.95% - 0s
0 0 1.59693 0 5 1.53628 1.59693 3.95% - 0s
0 0 1.59665 0 4 1.53628 1.59665 3.93% - 0s
0 0 1.59665 0 4 1.53628 1.59665 3.93% - 0s
0 2 1.59665 0 4 1.53628 1.59665 3.93% - 0s
Cutting planes:
Gomory: 2
Implied bound: 2
MIR: 2
Flow cover: 2
Explored 3 nodes (376 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.53628 1.51617 1.2904
Optimal solution found (tolerance 1.00e-02)
Best objective 1.536279278030e+00, best bound 1.548008974613e+00, gap 0.7635%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9mvqawoh.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0na1cp41.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.3775
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.899625e+00, 171 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.89963 0 10 1.37750 1.89963 37.9% - 0s
0 0 1.52484 0 12 1.37750 1.52484 10.7% - 0s
0 0 1.48071 0 11 1.37750 1.48071 7.49% - 0s
0 0 1.48070 0 14 1.37750 1.48070 7.49% - 0s
0 0 1.47936 0 14 1.37750 1.47936 7.39% - 0s
0 0 1.47936 0 14 1.37750 1.47936 7.39% - 0s
0 2 1.47936 0 14 1.37750 1.47936 7.39% - 0s
Cutting planes:
Gomory: 8
Implied bound: 2
MIR: 2
Flow cover: 8
Explored 28 nodes (367 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.3775
Optimal solution found (tolerance 1.00e-02)
Best objective 1.377495092552e+00, best bound 1.377495092552e+00, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphq5btn_y.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvk1hnded.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24991
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.761445e+00, 186 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.76145 0 11 1.24991 1.76145 40.9% - 0s
H 0 0 1.2714398 1.76145 38.5% - 0s
0 0 1.42050 0 22 1.27144 1.42050 11.7% - 0s
0 0 1.38257 0 6 1.27144 1.38257 8.74% - 0s
0 0 1.38229 0 6 1.27144 1.38229 8.72% - 0s
0 0 1.38229 0 6 1.27144 1.38229 8.72% - 0s
0 2 1.38229 0 6 1.27144 1.38229 8.72% - 0s
* 14 0 7 1.2881444 1.28814 0.00% 3.2 0s
Cutting planes:
Gomory: 7
Implied bound: 7
Flow cover: 14
Explored 16 nodes (371 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.28814 1.27144 1.24991
Optimal solution found (tolerance 1.00e-02)
Best objective 1.288144386593e+00, best bound 1.288144386593e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdukf13ki.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4rwpjome.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.16056
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.693921e+00, 216 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69392 0 14 1.16056 1.69392 46.0% - 0s
0 0 1.35375 0 9 1.16056 1.35375 16.6% - 0s
H 0 0 1.2312378 1.35375 10.0% - 0s
0 0 1.34451 0 10 1.23124 1.34451 9.20% - 0s
0 0 1.34423 0 11 1.23124 1.34423 9.18% - 0s
0 0 1.34423 0 12 1.23124 1.34423 9.18% - 0s
0 0 1.34423 0 11 1.23124 1.34423 9.18% - 0s
H 0 0 1.2312378 1.34423 9.18% - 0s
0 2 1.34423 0 11 1.23124 1.34423 9.18% - 0s
H 30 0 1.2465503 1.25313 0.53% 3.6 0s
Cutting planes:
Gomory: 8
Implied bound: 2
Flow cover: 11
Explored 33 nodes (461 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.24655 1.23124 1.23124 1.16056
Optimal solution found (tolerance 1.00e-02)
Best objective 1.246550316392e+00, best bound 1.246550316392e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpunz_o9ay.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbywmmepi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09587
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.651786e+00, 260 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65179 0 16 1.09587 1.65179 50.7% - 0s
0 0 1.41284 0 11 1.09587 1.41284 28.9% - 0s
H 0 0 1.1779288 1.41284 19.9% - 0s
0 0 1.37789 0 14 1.17793 1.37789 17.0% - 0s
0 0 1.33227 0 12 1.17793 1.33227 13.1% - 0s
0 0 1.33221 0 14 1.17793 1.33221 13.1% - 0s
0 0 1.33221 0 14 1.17793 1.33221 13.1% - 0s
0 2 1.33221 0 14 1.17793 1.33221 13.1% - 0s
* 84 4 16 1.1920635 1.25111 4.95% 4.8 0s
Cutting planes:
Gomory: 10
Implied bound: 6
Flow cover: 14
Explored 113 nodes (914 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.19206 1.17793 1.09587
Optimal solution found (tolerance 1.00e-02)
Best objective 1.192063465337e+00, best bound 1.192063465337e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj4b7ixgw.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp89qozqcq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.06015
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.682562e+00, 273 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68256 0 19 1.06015 1.68256 58.7% - 0s
0 0 1.45740 0 20 1.06015 1.45740 37.5% - 0s
0 0 1.43550 0 22 1.06015 1.43550 35.4% - 0s
0 0 1.39935 0 29 1.06015 1.39935 32.0% - 0s
0 0 1.39692 0 27 1.06015 1.39692 31.8% - 0s
0 0 1.37784 0 25 1.06015 1.37784 30.0% - 0s
0 0 1.37770 0 25 1.06015 1.37770 30.0% - 0s
0 0 1.37770 0 25 1.06015 1.37770 30.0% - 0s
0 0 1.37741 0 26 1.06015 1.37741 29.9% - 0s
0 0 1.37741 0 26 1.06015 1.37741 29.9% - 0s
0 2 1.37741 0 26 1.06015 1.37741 29.9% - 0s
* 126 45 19 1.2172355 1.30911 7.55% 6.3 0s
Cutting planes:
Gomory: 9
Cover: 3
Implied bound: 9
Clique: 2
MIR: 5
Flow cover: 17
Inf proof: 2
Explored 293 nodes (2161 simplex iterations) in 0.26 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.21724 1.06015
Optimal solution found (tolerance 1.00e-02)
Best objective 1.217235492340e+00, best bound 1.228208228337e+00, gap 0.9014%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp78t14p6i.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3zrs50n1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11556
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.621250e+00, 284 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.62125 0 23 1.11556 1.62125 45.3% - 0s
0 0 1.41116 0 18 1.11556 1.41116 26.5% - 0s
H 0 0 1.1531133 1.41116 22.4% - 0s
0 0 1.38454 0 24 1.15311 1.38454 20.1% - 0s
0 0 1.35409 0 36 1.15311 1.35409 17.4% - 0s
0 0 1.33639 0 18 1.15311 1.33639 15.9% - 0s
0 0 1.33457 0 22 1.15311 1.33457 15.7% - 0s
0 0 1.33450 0 22 1.15311 1.33450 15.7% - 0s
0 0 1.33434 0 24 1.15311 1.33434 15.7% - 0s
0 0 1.33433 0 23 1.15311 1.33433 15.7% - 0s
0 0 1.33400 0 24 1.15311 1.33400 15.7% - 0s
0 0 1.33400 0 24 1.15311 1.33400 15.7% - 0s
0 2 1.33400 0 24 1.15311 1.33400 15.7% - 0s
* 141 41 22 1.1653633 1.22924 5.48% 6.0 0s
Cutting planes:
Gomory: 11
Cover: 3
Implied bound: 15
MIR: 2
Flow cover: 16
Inf proof: 6
Explored 363 nodes (2924 simplex iterations) in 0.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16536 1.15311 1.11556
Optimal solution found (tolerance 1.00e-02)
Best objective 1.165363308637e+00, best bound 1.172724680217e+00, gap 0.6317%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnj_6ygmj.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppvyqdl83.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04885
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.614197e+00, 356 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61420 0 26 1.04885 1.61420 53.9% - 0s
0 0 1.39133 0 23 1.04885 1.39133 32.7% - 0s
0 0 1.36259 0 22 1.04885 1.36259 29.9% - 0s
0 0 1.33260 0 34 1.04885 1.33260 27.1% - 0s
0 0 1.31588 0 25 1.04885 1.31588 25.5% - 0s
0 0 1.31558 0 24 1.04885 1.31558 25.4% - 0s
0 0 1.31557 0 24 1.04885 1.31557 25.4% - 0s
0 0 1.31534 0 27 1.04885 1.31534 25.4% - 0s
0 0 1.31526 0 27 1.04885 1.31526 25.4% - 0s
0 0 1.31468 0 27 1.04885 1.31468 25.3% - 0s
0 0 1.31468 0 24 1.04885 1.31468 25.3% - 0s
0 2 1.31468 0 24 1.04885 1.31468 25.3% - 0s
* 533 183 36 1.0765238 1.20688 12.1% 7.1 0s
* 604 108 29 1.1490758 1.20688 5.03% 6.9 0s
Cutting planes:
Gomory: 15
Cover: 3
Implied bound: 26
MIR: 2
Flow cover: 14
Inf proof: 12
Explored 908 nodes (6564 simplex iterations) in 0.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.14908 1.07652 1.04885
Optimal solution found (tolerance 1.00e-02)
Best objective 1.149075823283e+00, best bound 1.149075823283e+00, gap 0.0000%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbk8saj20.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb9hh3me1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03994
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.610147e+00, 343 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61015 0 32 1.03994 1.61015 54.8% - 0s
0 0 1.38553 0 28 1.03994 1.38553 33.2% - 0s
0 0 1.38553 0 28 1.03994 1.38553 33.2% - 0s
0 0 1.36133 0 36 1.03994 1.36133 30.9% - 0s
0 0 1.33360 0 32 1.03994 1.33360 28.2% - 0s
0 0 1.33212 0 33 1.03994 1.33212 28.1% - 0s
0 0 1.31602 0 34 1.03994 1.31602 26.5% - 0s
0 0 1.31602 0 38 1.03994 1.31602 26.5% - 0s
0 0 1.31573 0 36 1.03994 1.31573 26.5% - 0s
0 0 1.31573 0 31 1.03994 1.31573 26.5% - 0s
0 2 1.31573 0 30 1.03994 1.31573 26.5% - 0s
H 1115 160 1.1364338 1.18179 3.99% 7.4 0s
Cutting planes:
Gomory: 15
Cover: 14
Implied bound: 36
MIR: 1
Flow cover: 26
Inf proof: 35
Explored 1723 nodes (13300 simplex iterations) in 0.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.13643 1.03994
Optimal solution found (tolerance 1.00e-02)
Best objective 1.136433838468e+00, best bound 1.140665452018e+00, gap 0.3724%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvx66avok.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpk546xua5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0406
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.560329e+00, 373 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56033 0 35 1.04060 1.56033 49.9% - 0s
0 0 1.33073 0 31 1.04060 1.33073 27.9% - 0s
0 0 1.33073 0 31 1.04060 1.33073 27.9% - 0s
0 0 1.31698 0 36 1.04060 1.31698 26.6% - 0s
0 0 1.29287 0 34 1.04060 1.29287 24.2% - 0s
0 0 1.28832 0 34 1.04060 1.28832 23.8% - 0s
0 0 1.27360 0 38 1.04060 1.27360 22.4% - 0s
0 0 1.27359 0 35 1.04060 1.27359 22.4% - 0s
0 0 1.27349 0 37 1.04060 1.27349 22.4% - 0s
0 0 1.27349 0 37 1.04060 1.27349 22.4% - 0s
0 0 1.27349 0 35 1.04060 1.27349 22.4% - 0s
0 2 1.27349 0 32 1.04060 1.27349 22.4% - 0s
H 993 261 1.0488527 1.13574 8.28% 6.9 0s
H 1029 270 1.0488527 1.13225 7.95% 7.0 0s
* 1221 269 36 1.0720022 1.13090 5.49% 6.8 0s
* 2045 96 36 1.0834758 1.09775 1.32% 7.2 1s
* 2049 81 37 1.0858208 1.09775 1.10% 7.2 1s
Cutting planes:
Gomory: 18
Cover: 19
Implied bound: 38
MIR: 3
Flow cover: 24
Inf proof: 41
Explored 2089 nodes (15718 simplex iterations) in 1.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.08582 1.08348 1.072 ... 1.0406
Optimal solution found (tolerance 1.00e-02)
Best objective 1.085820820606e+00, best bound 1.096061523769e+00, gap 0.9431%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3su_8b43.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw1hxhnww.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0207
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.475861e+00, 414 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.47586 0 36 1.02070 1.47586 44.6% - 0s
0 0 1.25221 0 31 1.02070 1.25221 22.7% - 0s
0 0 1.24111 0 37 1.02070 1.24111 21.6% - 0s
0 0 1.21827 0 36 1.02070 1.21827 19.4% - 0s
0 0 1.21550 0 34 1.02070 1.21550 19.1% - 0s
0 0 1.19997 0 41 1.02070 1.19997 17.6% - 0s
0 0 1.19996 0 38 1.02070 1.19996 17.6% - 0s
0 0 1.19955 0 41 1.02070 1.19955 17.5% - 0s
0 0 1.19955 0 41 1.02070 1.19955 17.5% - 0s
0 0 1.19955 0 36 1.02070 1.19955 17.5% - 0s
0 2 1.19955 0 35 1.02070 1.19955 17.5% - 0s
H 887 245 1.0206958 1.07576 5.39% 6.3 0s
Cutting planes:
Gomory: 16
Cover: 2
Implied bound: 23
MIR: 2
Flow cover: 23
Inf proof: 19
Explored 1774 nodes (12542 simplex iterations) in 1.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.0207 1.0207
Optimal solution found (tolerance 1.00e-02)
Best objective 1.020695810791e+00, best bound 1.020695810791e+00, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvjy3h_xw.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9gk25ouq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.960006
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.450653e+00, 423 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45065 0 44 0.96001 1.45065 51.1% - 0s
0 0 1.22703 0 39 0.96001 1.22703 27.8% - 0s
0 0 1.22703 0 40 0.96001 1.22703 27.8% - 0s
0 0 1.21384 0 50 0.96001 1.21384 26.4% - 0s
0 0 1.19318 0 45 0.96001 1.19318 24.3% - 0s
0 0 1.18967 0 44 0.96001 1.18967 23.9% - 0s
0 0 1.17647 0 50 0.96001 1.17647 22.5% - 0s
0 0 1.17647 0 47 0.96001 1.17647 22.5% - 0s
0 0 1.17633 0 46 0.96001 1.17633 22.5% - 0s
0 0 1.17622 0 49 0.96001 1.17622 22.5% - 0s
0 0 1.17611 0 49 0.96001 1.17611 22.5% - 0s
0 0 1.17611 0 43 0.96001 1.17611 22.5% - 0s
0 2 1.17611 0 42 0.96001 1.17611 22.5% - 0s
3755 580 1.02201 29 53 0.96001 1.02201 6.46% 11.1 5s
6665 362 1.00205 31 28 0.96001 1.00958 5.16% 15.2 10s
Cutting planes:
Gomory: 47
Cover: 7
Implied bound: 18
Projected implied bound: 5
MIR: 12
Flow cover: 49
Inf proof: 60
Explored 7802 nodes (116617 simplex iterations) in 11.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.960006
Optimal solution found (tolerance 1.00e-02)
Best objective 9.600061588880e-01, best bound 9.657005611291e-01, gap 0.5932%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8_n3mdcw.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpajrpzjsa.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.9044
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.439084e+00, 473 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43908 0 51 0.90440 1.43908 59.1% - 0s
0 0 1.21868 0 44 0.90440 1.21868 34.7% - 0s
0 0 1.20005 0 61 0.90440 1.20005 32.7% - 0s
0 0 1.18277 0 60 0.90440 1.18277 30.8% - 0s
0 0 1.17453 0 54 0.90440 1.17453 29.9% - 0s
0 0 1.16484 0 64 0.90440 1.16484 28.8% - 0s
0 0 1.16483 0 61 0.90440 1.16483 28.8% - 0s
0 0 1.16410 0 65 0.90440 1.16410 28.7% - 0s
0 0 1.16406 0 65 0.90440 1.16406 28.7% - 0s
0 0 1.16365 0 65 0.90440 1.16365 28.7% - 0s
0 0 1.16365 0 54 0.90440 1.16365 28.7% - 0s
0 2 1.16365 0 53 0.90440 1.16365 28.7% - 0s
3175 568 1.04585 23 58 0.90440 1.04906 16.0% 14.5 5s
H 4116 679 0.9142351 1.02667 12.3% 15.2 6s
6197 858 0.96925 29 51 0.91424 0.99958 9.33% 16.2 10s
H 6231 867 0.9142351 0.99895 9.27% 16.2 10s
9164 588 0.95118 32 54 0.91424 0.96452 5.50% 17.0 15s
Cutting planes:
Gomory: 47
Cover: 7
Implied bound: 21
Projected implied bound: 15
MIR: 13
Flow cover: 34
Inf proof: 107
Explored 10523 nodes (175015 simplex iterations) in 16.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.914235 0.914235 0.9044
Optimal solution found (tolerance 1.00e-02)
Best objective 9.142350798787e-01, best bound 9.214367736257e-01, gap 0.7877%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgrch5usv.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi0nsiru5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.90743
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.407484e+00, 493 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40748 0 51 0.90743 1.40748 55.1% - 0s
0 0 1.19913 0 47 0.90743 1.19913 32.1% - 0s
0 0 1.18269 0 56 0.90743 1.18269 30.3% - 0s
0 0 1.17759 0 71 0.90743 1.17759 29.8% - 0s
0 0 1.17758 0 71 0.90743 1.17758 29.8% - 0s
0 0 1.16429 0 79 0.90743 1.16429 28.3% - 0s
0 0 1.16402 0 79 0.90743 1.16402 28.3% - 0s
0 0 1.15570 0 78 0.90743 1.15570 27.4% - 0s
0 0 1.15548 0 81 0.90743 1.15548 27.3% - 0s
0 0 1.15516 0 78 0.90743 1.15516 27.3% - 0s
0 0 1.15516 0 72 0.90743 1.15516 27.3% - 0s
0 2 1.15516 0 72 0.90743 1.15516 27.3% - 0s
3040 673 cutoff 37 0.90743 1.03313 13.9% 14.0 5s
H 5913 554 0.9081037 0.95483 5.15% 15.8 9s
6631 386 0.93395 40 22 0.90810 0.94540 4.11% 15.8 10s
Cutting planes:
Learned: 1
Gomory: 44
Cover: 6
Implied bound: 22
Projected implied bound: 11
MIR: 11
Flow cover: 42
Inf proof: 47
Explored 8147 nodes (123454 simplex iterations) in 11.51 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.908104 0.90743
Optimal solution found (tolerance 1.00e-02)
Best objective 9.081037210418e-01, best bound 9.166560559015e-01, gap 0.9418%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpddeao0q8.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsls63dbk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.891285
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.355179e+00, 497 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.35518 0 48 0.89128 1.35518 52.0% - 0s
0 0 1.16580 0 48 0.89128 1.16580 30.8% - 0s
0 0 1.15777 0 64 0.89128 1.15777 29.9% - 0s
0 0 1.15735 0 68 0.89128 1.15735 29.9% - 0s
0 0 1.15584 0 71 0.89128 1.15584 29.7% - 0s
0 0 1.15527 0 76 0.89128 1.15527 29.6% - 0s
0 0 1.15527 0 76 0.89128 1.15527 29.6% - 0s
0 0 1.15503 0 75 0.89128 1.15503 29.6% - 0s
0 0 1.15503 0 68 0.89128 1.15503 29.6% - 0s
0 2 1.15503 0 68 0.89128 1.15503 29.6% - 0s
2728 506 0.92922 40 43 0.89128 0.98871 10.9% 16.5 5s
Cutting planes:
Learned: 1
Gomory: 43
Cover: 3
Implied bound: 27
Projected implied bound: 13
MIR: 15
Flow cover: 25
Inf proof: 48
Explored 5648 nodes (84805 simplex iterations) in 8.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.891285
Optimal solution found (tolerance 1.00e-02)
Best objective 8.912847200502e-01, best bound 8.985896944947e-01, gap 0.8196%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjhnsldxg.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp45gmjblo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.884022
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.341188e+00, 521 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34119 0 52 0.88402 1.34119 51.7% - 0s
0 0 1.17075 0 47 0.88402 1.17075 32.4% - 0s
0 0 1.17075 0 48 0.88402 1.17075 32.4% - 0s
0 0 1.14352 0 70 0.88402 1.14352 29.4% - 0s
0 0 1.14317 0 72 0.88402 1.14317 29.3% - 0s
0 0 1.14258 0 72 0.88402 1.14258 29.2% - 0s
0 0 1.14258 0 61 0.88402 1.14258 29.2% - 0s
0 2 1.14258 0 60 0.88402 1.14258 29.2% - 0s
2767 601 0.89642 34 54 0.88402 0.96868 9.58% 13.9 5s
* 4626 788 75 0.8850996 0.94917 7.24% 15.7 8s
5772 835 0.89495 25 64 0.88510 0.93588 5.74% 16.4 10s
9086 623 0.90528 46 34 0.88510 0.90528 2.28% 16.4 15s
Cutting planes:
Gomory: 53
Cover: 3
Implied bound: 36
Projected implied bound: 24
MIR: 13
Flow cover: 24
Inf proof: 89
Explored 10423 nodes (165968 simplex iterations) in 17.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.8851 0.884022
Optimal solution found (tolerance 1.00e-02)
Best objective 8.850995639738e-01, best bound 8.914146385182e-01, gap 0.7135%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl1rs6cp3.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppcckr5cb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.894203
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.327591e+00, 523 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32759 0 55 0.89420 1.32759 48.5% - 0s
0 0 1.17702 0 49 0.89420 1.17702 31.6% - 0s
0 0 1.15331 0 66 0.89420 1.15331 29.0% - 0s
0 0 1.15194 0 71 0.89420 1.15194 28.8% - 0s
0 0 1.15110 0 80 0.89420 1.15110 28.7% - 0s
0 0 1.15051 0 76 0.89420 1.15051 28.7% - 0s
0 0 1.15051 0 66 0.89420 1.15051 28.7% - 0s
0 2 1.15051 0 66 0.89420 1.15051 28.7% - 0s
2166 539 0.99910 26 65 0.89420 1.02428 14.5% 17.4 5s
H 3323 851 0.8942611 0.99963 11.8% 18.4 7s
4497 973 cutoff 33 0.89426 0.97919 9.50% 19.0 10s
* 4870 973 54 0.8949458 0.97171 8.58% 19.0 10s
H 5297 991 0.8949458 0.96426 7.74% 19.0 11s
7238 797 cutoff 44 0.89495 0.93617 4.61% 18.7 15s
10551 525 cutoff 63 0.89495 0.90803 1.46% 17.3 20s
Cutting planes:
Gomory: 60
Cover: 1
Implied bound: 38
Projected implied bound: 32
MIR: 16
Flow cover: 33
Inf proof: 69
Explored 11128 nodes (189427 simplex iterations) in 20.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.894946 0.894946 0.894261 0.894203
Optimal solution found (tolerance 1.00e-02)
Best objective 8.949457775307e-01, best bound 9.035987555612e-01, gap 0.9669%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyf0hr78c.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvb2qu8s3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.868978
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.283246e+00, 595 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28325 0 54 0.86898 1.28325 47.7% - 0s
0 0 1.13394 0 66 0.86898 1.13394 30.5% - 0s
0 0 1.11878 0 72 0.86898 1.11878 28.7% - 0s
0 0 1.11747 0 79 0.86898 1.11747 28.6% - 0s
0 0 1.11685 0 83 0.86898 1.11685 28.5% - 0s
0 0 1.11684 0 83 0.86898 1.11684 28.5% - 0s
0 0 1.11629 0 79 0.86898 1.11629 28.5% - 0s
0 0 1.11629 0 65 0.86898 1.11629 28.5% - 0s
0 2 1.11629 0 65 0.86898 1.11629 28.5% - 0s
2240 495 0.92111 34 61 0.86898 0.99029 14.0% 17.0 5s
H 3332 549 0.8689779 0.95582 10.0% 19.6 7s
* 3793 619 76 0.8692240 0.94721 8.97% 19.9 8s
5008 567 cutoff 29 0.86922 0.93020 7.02% 20.4 10s
* 8545 366 88 0.8692375 0.88315 1.60% 17.9 14s
8757 322 cutoff 47 0.86924 0.88274 1.55% 17.8 15s
Cutting planes:
Learned: 1
Gomory: 51
Cover: 5
Implied bound: 21
Projected implied bound: 17
MIR: 18
Flow cover: 34
Inf proof: 74
Explored 9281 nodes (162209 simplex iterations) in 15.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.869237 0.869224 0.868978 0.868978
Optimal solution found (tolerance 1.00e-02)
Best objective 8.692374847273e-01, best bound 8.760825669013e-01, gap 0.7875%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu63ponxr.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv_biig5e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878922
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.276888e+00, 622 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27689 0 59 0.87892 1.27689 45.3% - 0s
0 0 1.14463 0 54 0.87892 1.14463 30.2% - 0s
0 0 1.12139 0 77 0.87892 1.12139 27.6% - 0s
0 0 1.12117 0 79 0.87892 1.12117 27.6% - 0s
0 0 1.12043 0 82 0.87892 1.12043 27.5% - 0s
0 0 1.11997 0 85 0.87892 1.11997 27.4% - 0s
0 0 1.11997 0 75 0.87892 1.11997 27.4% - 0s
0 2 1.11997 0 75 0.87892 1.11997 27.4% - 0s
2452 766 0.92265 38 55 0.87892 0.99181 12.8% 15.7 5s
* 3884 565 76 0.8797900 0.96543 9.73% 18.1 7s
5254 707 cutoff 37 0.87979 0.93321 6.07% 18.0 10s
8886 850 0.89144 56 42 0.87979 0.90189 2.51% 16.7 15s
Cutting planes:
Gomory: 50
Cover: 3
Implied bound: 24
Projected implied bound: 21
MIR: 18
Flow cover: 31
Inf proof: 79
Explored 11942 nodes (184241 simplex iterations) in 18.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.87979 0.878922
Optimal solution found (tolerance 1.00e-02)
Best objective 8.797900290792e-01, best bound 8.878442178916e-01, gap 0.9155%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ufp4t59.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5fahp9em.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864156
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.229777e+00, 652 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.22978 0 62 0.86416 1.22978 42.3% - 0s
0 0 1.11449 0 62 0.86416 1.11449 29.0% - 0s
0 0 1.10016 0 69 0.86416 1.10016 27.3% - 0s
0 0 1.09904 0 80 0.86416 1.09904 27.2% - 0s
0 0 1.09842 0 87 0.86416 1.09842 27.1% - 0s
0 0 1.09842 0 87 0.86416 1.09842 27.1% - 0s
0 0 1.09793 0 82 0.86416 1.09793 27.1% - 0s
0 0 1.09793 0 77 0.86416 1.09793 27.1% - 0s
0 2 1.09793 0 76 0.86416 1.09793 27.1% - 0s
1720 436 cutoff 24 0.86416 0.97941 13.3% 20.9 5s
4742 463 infeasible 59 0.86416 0.89189 3.21% 18.9 10s
7877 426 0.87317 47 74 0.86416 0.87534 1.29% 16.3 15s
Cutting planes:
Gomory: 71
Cover: 7
Implied bound: 17
Projected implied bound: 13
MIR: 17
Flow cover: 45
Inf proof: 52
Explored 8671 nodes (136722 simplex iterations) in 15.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.864156
Optimal solution found (tolerance 1.00e-02)
Best objective 8.641563864566e-01, best bound 8.726310482212e-01, gap 0.9807%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpymap7fvj.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv973qqw_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.863391
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.218405e+00, 649 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21841 0 64 0.86339 1.21841 41.1% - 0s
0 0 1.12768 0 57 0.86339 1.12768 30.6% - 0s
0 0 1.12432 0 56 0.86339 1.12432 30.2% - 0s
0 0 1.10433 0 81 0.86339 1.10433 27.9% - 0s
0 0 1.10322 0 88 0.86339 1.10322 27.8% - 0s
0 0 1.10078 0 96 0.86339 1.10078 27.5% - 0s
0 0 1.10022 0 94 0.86339 1.10022 27.4% - 0s
0 0 1.09693 0 90 0.86339 1.09693 27.0% - 0s
0 0 1.09692 0 90 0.86339 1.09692 27.0% - 0s
0 0 1.09691 0 90 0.86339 1.09691 27.0% - 0s
0 0 1.09691 0 77 0.86339 1.09691 27.0% - 0s
0 2 1.09691 0 76 0.86339 1.09691 27.0% - 0s
1450 630 0.99820 24 60 0.86339 0.99889 15.7% 16.3 5s
H 3639 892 0.8633910 0.97438 12.9% 20.5 9s
3770 911 0.88883 31 67 0.86339 0.97212 12.6% 20.7 10s
5823 1063 0.89426 30 67 0.86339 0.95185 10.2% 23.6 15s
8007 1086 0.90261 27 80 0.86339 0.93212 7.96% 24.7 20s
10936 812 0.89458 45 56 0.86339 0.89883 4.11% 24.4 25s
14636 622 0.87302 62 34 0.86339 0.87302 1.12% 21.3 30s
Cutting planes:
Learned: 1
Gomory: 67
Cover: 6
Implied bound: 36
Projected implied bound: 28
MIR: 24
Flow cover: 58
Inf proof: 96
Explored 15238 nodes (318240 simplex iterations) in 30.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.863391 0.863391
Optimal solution found (tolerance 1.00e-02)
Best objective 8.633910172929e-01, best bound 8.711654664913e-01, gap 0.9005%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxqt461rh.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4r9678tq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.861011
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.215938e+00, 680 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21594 0 69 0.86101 1.21594 41.2% - 0s
0 0 1.11546 0 69 0.86101 1.11546 29.6% - 0s
0 0 1.09574 0 87 0.86101 1.09574 27.3% - 0s
0 0 1.09557 0 94 0.86101 1.09557 27.2% - 0s
0 0 1.09497 0 93 0.86101 1.09497 27.2% - 0s
0 0 1.09497 0 93 0.86101 1.09497 27.2% - 0s
0 0 1.09458 0 94 0.86101 1.09458 27.1% - 0s
0 0 1.09458 0 84 0.86101 1.09458 27.1% - 0s
0 2 1.09458 0 84 0.86101 1.09458 27.1% - 0s
1522 492 0.93584 34 77 0.86101 1.00130 16.3% 18.1 5s
H 2100 471 0.8610107 0.99103 15.1% 19.8 6s
H 3008 608 0.8610107 0.97677 13.4% 21.2 8s
3515 608 cutoff 36 0.86101 0.96488 12.1% 22.1 10s
5538 604 cutoff 41 0.86101 0.92934 7.94% 23.0 15s
8257 694 0.86888 52 56 0.86101 0.90824 5.49% 21.4 20s
11657 675 infeasible 55 0.86101 0.87327 1.42% 19.0 25s
Cutting planes:
Gomory: 62
Cover: 3
Implied bound: 36
Projected implied bound: 31
MIR: 17
Flow cover: 55
Inf proof: 89
Explored 12808 nodes (231799 simplex iterations) in 26.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.861011 0.861011 0.861011
Optimal solution found (tolerance 1.00e-02)
Best objective 8.610107235214e-01, best bound 8.687565071310e-01, gap 0.8996%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6dez_ozg.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptzvte283.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.841744
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.204726e+00, 703 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20473 0 69 0.84174 1.20473 43.1% - 0s
0 0 1.10927 0 72 0.84174 1.10927 31.8% - 0s
0 0 1.10927 0 73 0.84174 1.10927 31.8% - 0s
0 0 1.08930 0 88 0.84174 1.08930 29.4% - 0s
0 0 1.08865 0 95 0.84174 1.08865 29.3% - 0s
0 0 1.08813 0 84 0.84174 1.08813 29.3% - 0s
0 0 1.08812 0 84 0.84174 1.08812 29.3% - 0s
0 0 1.08800 0 88 0.84174 1.08800 29.3% - 0s
0 0 1.08800 0 78 0.84174 1.08800 29.3% - 0s
0 2 1.08800 0 78 0.84174 1.08800 29.3% - 0s
1777 539 cutoff 36 0.84174 0.99146 17.8% 17.3 5s
4263 812 0.90406 38 61 0.84174 0.93339 10.9% 19.8 10s
H 5659 1031 0.8417436 0.91864 9.14% 20.1 13s
6556 1112 0.85173 37 76 0.84174 0.91283 8.45% 20.2 15s
9160 1298 0.84855 40 65 0.84174 0.89289 6.08% 20.6 20s
12546 1811 cutoff 53 0.84174 0.87937 4.47% 19.7 25s
15585 2042 infeasible 57 0.84174 0.87290 3.70% 19.4 30s
18474 2234 0.85530 59 56 0.84174 0.86723 3.03% 19.2 35s
*20672 1911 109 0.8469203 0.86435 2.06% 18.7 38s
H20911 1888 0.8473513 0.86414 1.98% 18.6 40s
H21005 1578 0.8500404 0.86403 1.65% 18.6 40s
Cutting planes:
Gomory: 57
Cover: 2
Implied bound: 50
Projected implied bound: 28
MIR: 13
Flow cover: 46
Inf proof: 166
Explored 23029 nodes (423950 simplex iterations) in 42.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.85004 0.847351 0.84692 ... 0.841744
Optimal solution found (tolerance 1.00e-02)
Best objective 8.500404492313e-01, best bound 8.579551413938e-01, gap 0.9311%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv446epk1.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdq5b2pay.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.830285
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.193648e+00, 749 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19365 0 68 0.83029 1.19365 43.8% - 0s
0 0 1.09877 0 69 0.83029 1.09877 32.3% - 0s
0 0 1.07990 0 92 0.83029 1.07990 30.1% - 0s
0 0 1.07978 0 94 0.83029 1.07978 30.0% - 0s
0 0 1.07936 0 94 0.83029 1.07936 30.0% - 0s
0 0 1.07936 0 83 0.83029 1.07936 30.0% - 0s
0 2 1.07936 0 83 0.83029 1.07936 30.0% - 0s
1635 576 0.94634 31 78 0.83029 0.96352 16.0% 16.7 5s
* 3643 990 141 0.8321870 0.92866 11.6% 15.8 9s
* 3649 971 141 0.8343112 0.92866 11.3% 15.8 9s
4161 1037 0.87672 38 73 0.83431 0.92031 10.3% 15.8 10s
6729 1384 0.86866 41 78 0.83431 0.90309 8.24% 16.1 15s
8971 1625 0.88061 57 66 0.83431 0.89088 6.78% 16.2 20s
11873 1884 cutoff 54 0.83431 0.87953 5.42% 16.5 25s
14371 2052 infeasible 68 0.83431 0.87122 4.42% 17.0 30s
16648 2248 cutoff 70 0.83431 0.86595 3.79% 17.3 35s
18698 2252 0.84742 56 70 0.83431 0.86184 3.30% 17.4 40s
20848 2417 0.84836 72 64 0.83431 0.85845 2.89% 17.1 53s
*21668 2397 141 0.8355059 0.85720 2.60% 17.1 54s
22060 2584 infeasible 69 0.83551 0.85680 2.55% 17.0 55s
H22065 1851 0.8426865 0.85680 1.67% 17.0 55s
*22502 1694 135 0.8430831 0.85574 1.50% 16.9 56s
Cutting planes:
Gomory: 85
Cover: 3
Implied bound: 38
Projected implied bound: 21
MIR: 21
Flow cover: 74
Inf proof: 168
Explored 24313 nodes (410907 simplex iterations) in 59.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.843083 0.842687 0.835506 ... 0.830285
Optimal solution found (tolerance 1.00e-02)
Best objective 8.430830952381e-01, best bound 8.514603807025e-01, gap 0.9936%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphs2v1iq2.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9qt8zdeg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.839627
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.188115e+00, 757 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18811 0 72 0.83963 1.18811 41.5% - 0s
0 0 1.07580 0 81 0.83963 1.07580 28.1% - 0s
0 0 1.06615 0 85 0.83963 1.06615 27.0% - 0s
0 0 1.06512 0 93 0.83963 1.06512 26.9% - 0s
0 0 1.06470 0 97 0.83963 1.06470 26.8% - 0s
0 0 1.06417 0 94 0.83963 1.06417 26.7% - 0s
0 0 1.06417 0 87 0.83963 1.06417 26.7% - 0s
0 2 1.06417 0 85 0.83963 1.06417 26.7% - 0s
* 1226 574 144 0.8398909 0.98263 17.0% 15.5 4s
1583 576 0.93265 34 71 0.83989 0.98263 17.0% 16.0 5s
3965 1196 0.88828 35 80 0.83989 0.96270 14.6% 19.1 10s
5666 1516 cutoff 34 0.83989 0.94951 13.1% 20.5 15s
7963 1871 0.86467 34 82 0.83989 0.93676 11.5% 22.4 20s
10214 1984 0.86344 32 82 0.83989 0.92487 10.1% 23.5 25s
H10265 1995 0.8398909 0.92487 10.1% 23.5 25s
12374 2140 0.84544 62 64 0.83989 0.91567 9.02% 24.0 30s
14405 2392 0.85593 29 88 0.83989 0.90904 8.23% 24.0 35s
16870 2869 0.88500 40 75 0.83989 0.90381 7.61% 23.4 40s
19357 3068 cutoff 39 0.83989 0.89862 6.99% 23.5 45s
20883 3098 cutoff 68 0.83989 0.89514 6.58% 23.7 56s
22415 3219 0.87944 30 95 0.83989 0.89094 6.08% 23.9 60s
24129 3236 cutoff 39 0.83989 0.88650 5.55% 24.4 65s
26333 3259 0.85357 50 71 0.83989 0.88140 4.94% 25.0 70s
28554 3292 infeasible 48 0.83989 0.87615 4.32% 25.4 75s
30516 3230 0.84580 33 106 0.83989 0.87196 3.82% 25.8 80s
32805 3336 0.85949 48 94 0.83989 0.86863 3.42% 25.8 85s
34897 3455 infeasible 50 0.83989 0.86569 3.07% 25.7 90s
37303 3462 cutoff 49 0.83989 0.86220 2.66% 25.6 95s
39309 3375 0.85077 50 80 0.83989 0.85943 2.33% 25.4 100s
41505 3209 0.85307 43 71 0.83989 0.85712 2.05% 25.2 105s
43698 2956 0.84684 49 48 0.83989 0.85446 1.73% 25.0 110s
46413 2703 0.84954 84 45 0.83989 0.85140 1.37% 24.7 115s
48963 2456 0.84910 112 34 0.83989 0.84950 1.14% 24.2 120s
Cutting planes:
Gomory: 94
Cover: 3
Implied bound: 40
Projected implied bound: 38
Clique: 3
MIR: 22
Flow cover: 78
Inf proof: 232
Explored 50252 nodes (1208505 simplex iterations) in 122.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.839891 0.839891 0.839627
Optimal solution found (tolerance 1.00e-02)
Best objective 8.398908928306e-01, best bound 8.482469951337e-01, gap 0.9949%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjezhjru4.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprh6j4kko.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.840316
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.177197e+00, 759 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17720 0 75 0.84032 1.17720 40.1% - 0s
0 0 1.07304 0 90 0.84032 1.07304 27.7% - 0s
0 0 1.06225 0 85 0.84032 1.06225 26.4% - 0s
0 0 1.06053 0 100 0.84032 1.06053 26.2% - 0s
0 0 1.05984 0 105 0.84032 1.05984 26.1% - 0s
0 0 1.05966 0 103 0.84032 1.05966 26.1% - 0s
0 0 1.05966 0 94 0.84032 1.05966 26.1% - 0s
0 2 1.05966 0 94 0.84032 1.05966 26.1% - 0s
1148 502 0.86162 71 59 0.84032 0.96727 15.1% 22.3 5s
3019 589 0.91989 31 93 0.84032 0.92454 10.0% 23.1 10s
H 3818 684 0.8403158 0.91473 8.86% 23.3 12s
4526 792 0.87809 49 74 0.84032 0.90801 8.06% 23.7 15s
7147 1262 0.85871 54 65 0.84032 0.89206 6.16% 22.5 20s
9071 1461 cutoff 44 0.84032 0.88075 4.81% 22.3 25s
H11088 1572 0.8403158 0.87169 3.73% 22.0 29s
11248 1550 0.85572 51 74 0.84032 0.87151 3.71% 22.0 30s
14029 1704 0.84350 57 66 0.84032 0.86367 2.78% 21.0 35s
16942 1522 0.85634 47 84 0.84032 0.85653 1.93% 20.3 40s
19858 1698 cutoff 67 0.84032 0.85279 1.49% 18.9 45s
Cutting planes:
Learned: 1
Gomory: 81
Cover: 4
Implied bound: 32
Projected implied bound: 17
MIR: 9
Flow cover: 45
Inf proof: 146
Explored 23038 nodes (413091 simplex iterations) in 49.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.840316 0.840316 0.840316
Optimal solution found (tolerance 1.00e-02)
Best objective 8.403158021939e-01, best bound 8.486228973717e-01, gap 0.9886%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7tfmd8ms.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjv7vfy38.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.840464
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.170571e+00, 801 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17057 0 74 0.84046 1.17057 39.3% - 0s
0 0 1.07465 0 91 0.84046 1.07465 27.9% - 0s
0 0 1.06090 0 93 0.84046 1.06090 26.2% - 0s
0 0 1.06075 0 103 0.84046 1.06075 26.2% - 0s
0 0 1.05981 0 105 0.84046 1.05981 26.1% - 0s
0 0 1.05981 0 106 0.84046 1.05981 26.1% - 0s
0 0 1.05950 0 106 0.84046 1.05950 26.1% - 0s
0 0 1.05950 0 95 0.84046 1.05950 26.1% - 0s
0 2 1.05950 0 95 0.84046 1.05950 26.1% - 0s
1061 561 0.91700 32 83 0.84046 0.97914 16.5% 21.8 5s
2803 728 0.91387 30 76 0.84046 0.94355 12.3% 26.1 10s
4905 1059 0.85729 37 78 0.84046 0.92728 10.3% 25.8 15s
6843 1216 infeasible 33 0.84046 0.91205 8.52% 25.6 20s
9461 1449 cutoff 51 0.84046 0.89714 6.74% 24.3 25s
11958 1633 infeasible 55 0.84046 0.88448 5.24% 23.7 30s
H12836 1722 0.8404639 0.88105 4.83% 23.5 32s
13408 1715 cutoff 45 0.84046 0.87930 4.62% 23.4 35s
15999 1684 0.85060 47 78 0.84046 0.86785 3.26% 23.0 40s
18415 1442 infeasible 56 0.84046 0.85857 2.15% 22.4 45s
21163 1149 cutoff 67 0.84046 0.85127 1.29% 21.4 50s
Cutting planes:
Gomory: 73
Cover: 11
Implied bound: 30
Projected implied bound: 19
Clique: 1
MIR: 18
Flow cover: 58
GUB cover: 1
Inf proof: 153
Explored 22402 nodes (468587 simplex iterations) in 51.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.840464 0.840464
Optimal solution found (tolerance 1.00e-02)
Best objective 8.404639280226e-01, best bound 8.485823553124e-01, gap 0.9659%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxqh254di.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfs_v1c19.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x1710_ by 0.999999001
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.160986e+00, 840 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16099 0 79 - 1.16099 - - 0s
Another try with MIP start
H 0 0 0.8394100 1.16099 38.3% - 0s
0 0 1.06722 0 89 0.83941 1.06722 27.1% - 0s
0 0 1.06722 0 90 0.83941 1.06722 27.1% - 0s
0 0 1.05579 0 89 0.83941 1.05579 25.8% - 0s
0 0 1.05476 0 91 0.83941 1.05476 25.7% - 0s
0 0 1.05138 0 96 0.83941 1.05138 25.3% - 0s
0 0 1.05085 0 99 0.83941 1.05085 25.2% - 0s
0 0 1.05078 0 98 0.83941 1.05078 25.2% - 0s
0 0 1.05078 0 90 0.83941 1.05078 25.2% - 0s
0 2 1.05078 0 89 0.83941 1.05078 25.2% - 0s
1116 534 0.86385 49 84 0.83941 0.98635 17.5% 21.4 5s
2769 791 0.90516 31 92 0.83941 0.94480 12.6% 26.4 10s
4629 1019 cutoff 38 0.83941 0.92110 9.73% 26.1 15s
H 4995 1054 0.8394100 0.91813 9.38% 26.3 16s
6369 1228 0.85993 36 93 0.83941 0.90496 7.81% 25.6 20s
H 6491 1265 0.8394100 0.90491 7.80% 25.5 20s
8544 1745 0.86852 81 60 0.83941 0.90133 7.38% 23.8 25s
10801 1809 0.85397 63 80 0.83941 0.89185 6.25% 23.9 30s
13175 2051 0.84461 68 50 0.83941 0.88045 4.89% 23.4 35s
15084 2093 0.85106 45 81 0.83941 0.87619 4.38% 22.9 40s
16984 1815 cutoff 70 0.83941 0.86604 3.17% 23.0 45s
19072 1682 0.84939 77 66 0.83941 0.85875 2.30% 22.7 50s
21089 1577 0.85360 81 68 0.83941 0.85360 1.69% 22.1 55s
23964 1299 infeasible 84 0.83941 0.84860 1.09% 21.2 60s
Cutting planes:
Learned: 1
Gomory: 84
Cover: 4
Implied bound: 31
Projected implied bound: 24
Clique: 3
MIR: 24
Flow cover: 45
Inf proof: 177
Explored 24456 nodes (515996 simplex iterations) in 60.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.83941 0.83941 0.83941
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (8.0878e-06) exceeds tolerance
Best objective 8.394099963762e-01, best bound 8.474046853271e-01, gap 0.9524%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5g850fnd.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwn3ws2q_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829554
Presolve removed 578 rows and 375 columns
Presolve time: 0.04s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.142056e+00, 847 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14206 0 82 0.82955 1.14206 37.7% - 0s
0 0 1.05741 0 85 0.82955 1.05741 27.5% - 0s
0 0 1.05741 0 86 0.82955 1.05741 27.5% - 0s
0 0 1.04724 0 95 0.82955 1.04724 26.2% - 0s
0 0 1.04635 0 100 0.82955 1.04635 26.1% - 0s
0 0 1.04324 0 106 0.82955 1.04324 25.8% - 0s
0 0 1.04270 0 108 0.82955 1.04270 25.7% - 0s
0 0 1.04221 0 105 0.82955 1.04221 25.6% - 0s
0 0 1.04216 0 107 0.82955 1.04216 25.6% - 0s
0 0 1.04178 0 104 0.82955 1.04178 25.6% - 0s
0 0 1.04178 0 100 0.82955 1.04178 25.6% - 0s
0 2 1.04178 0 98 0.82955 1.04178 25.6% - 0s
1031 549 0.91268 32 92 0.82955 0.96277 16.1% 19.6 5s
* 1212 533 163 0.8300478 0.95090 14.6% 20.6 5s
2768 536 cutoff 36 0.83005 0.90031 8.47% 23.9 10s
H 2954 577 0.8305418 0.89868 8.20% 24.0 10s
4396 1022 cutoff 60 0.83054 0.89144 7.33% 22.8 15s
7029 1838 0.88541 42 92 0.83054 0.88639 6.72% 22.0 20s
9553 2300 0.87743 65 64 0.83054 0.88213 6.21% 22.1 25s
11655 2546 cutoff 55 0.83054 0.87879 5.81% 22.2 30s
13845 2612 cutoff 75 0.83054 0.87322 5.14% 22.7 35s
H15726 2656 0.8305418 0.86786 4.49% 23.0 39s
15731 2656 cutoff 37 0.83054 0.86776 4.48% 23.0 41s
16814 2584 cutoff 55 0.83054 0.86517 4.17% 23.2 45s
19002 2599 infeasible 75 0.83054 0.86074 3.64% 23.4 50s
21389 2463 0.85368 78 79 0.83054 0.85565 3.02% 23.7 55s
23264 2261 infeasible 78 0.83054 0.85204 2.59% 23.9 60s
25648 2184 0.84244 81 74 0.83054 0.84760 2.05% 23.5 65s
28253 2060 cutoff 70 0.83054 0.84371 1.59% 23.0 70s
30865 1902 cutoff 45 0.83054 0.84104 1.26% 22.4 75s
Cutting planes:
Learned: 1
Gomory: 91
Cover: 6
Implied bound: 43
Projected implied bound: 21
MIR: 24
Flow cover: 52
Inf proof: 210
Explored 33081 nodes (724627 simplex iterations) in 78.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.830542 0.830542 0.830048 0.829554
Optimal solution found (tolerance 1.00e-02)
Best objective 8.305418146506e-01, best bound 8.386379547053e-01, gap 0.9748%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbmljonxv.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpijqo52p6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.827281
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.131598e+00, 943 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13160 0 80 0.82728 1.13160 36.8% - 0s
0 0 1.04375 0 87 0.82728 1.04375 26.2% - 0s
0 0 1.04375 0 87 0.82728 1.04375 26.2% - 0s
0 0 1.03128 0 102 0.82728 1.03128 24.7% - 0s
0 0 1.03115 0 106 0.82728 1.03115 24.6% - 0s
0 0 1.02860 0 116 0.82728 1.02860 24.3% - 0s
0 0 1.02860 0 118 0.82728 1.02860 24.3% - 0s
0 0 1.02781 0 120 0.82728 1.02781 24.2% - 0s
0 0 1.02780 0 119 0.82728 1.02780 24.2% - 0s
0 0 1.02780 0 119 0.82728 1.02780 24.2% - 0s
0 0 1.02780 0 107 0.82728 1.02780 24.2% - 0s
0 2 1.02780 0 107 0.82728 1.02780 24.2% - 0s
898 584 infeasible 16 0.82728 0.96342 16.5% 23.7 5s
2122 677 0.89869 21 98 0.82728 0.93468 13.0% 30.0 10s
3372 818 cutoff 26 0.82728 0.92056 11.3% 32.8 15s
4841 898 0.83186 46 79 0.82728 0.90654 9.58% 32.8 20s
6406 988 0.83524 41 94 0.82728 0.88605 7.10% 32.3 25s
8292 1162 0.83998 44 68 0.82728 0.87528 5.80% 31.4 30s
9978 1274 0.85399 36 92 0.82728 0.86746 4.86% 30.4 36s
11626 1198 0.84389 44 86 0.82728 0.85648 3.53% 30.1 40s
13789 1377 0.84419 33 94 0.82728 0.84873 2.59% 28.4 45s
16898 1763 0.83592 49 73 0.82728 0.84241 1.83% 25.9 50s
19380 1667 0.83554 64 66 0.82728 0.83850 1.36% 24.5 55s
Cutting planes:
Learned: 1
Gomory: 109
Cover: 6
Implied bound: 25
Projected implied bound: 20
Clique: 3
MIR: 21
Flow cover: 60
Inf proof: 115
Explored 23044 nodes (514292 simplex iterations) in 59.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.827281
Optimal solution found (tolerance 1.00e-02)
Best objective 8.272809453597e-01, best bound 8.352262117538e-01, gap 0.9604%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0r080ym1.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9xf834bo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.813572
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.107903e+00, 891 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10790 0 82 0.81357 1.10790 36.2% - 0s
0 0 1.02350 0 94 0.81357 1.02350 25.8% - 0s
0 0 1.02350 0 94 0.81357 1.02350 25.8% - 0s
0 0 1.01054 0 109 0.81357 1.01054 24.2% - 0s
0 0 1.01044 0 110 0.81357 1.01044 24.2% - 0s
0 0 1.00683 0 119 0.81357 1.00683 23.8% - 0s
0 0 1.00675 0 119 0.81357 1.00675 23.7% - 0s
0 0 1.00594 0 123 0.81357 1.00594 23.6% - 0s
0 0 1.00574 0 122 0.81357 1.00574 23.6% - 0s
0 0 1.00563 0 119 0.81357 1.00563 23.6% - 0s
0 0 1.00563 0 105 0.81357 1.00563 23.6% - 0s
0 2 1.00563 0 104 0.81357 1.00563 23.6% - 0s
777 507 infeasible 18 0.81357 0.94156 15.7% 22.7 5s
1883 461 0.89713 20 110 0.81357 0.90283 11.0% 32.9 10s
3166 770 0.82383 37 98 0.81357 0.88361 8.61% 32.0 15s
H 3167 770 0.8135723 0.88361 8.61% 32.0 15s
4917 1035 0.85515 57 74 0.81357 0.86640 6.49% 31.1 20s
6406 1281 0.83658 46 80 0.81357 0.85888 5.57% 30.2 25s
8643 1841 0.82744 42 83 0.81357 0.85210 4.74% 28.1 30s
10808 2104 cutoff 75 0.81357 0.84549 3.92% 27.1 35s
13006 2165 0.81899 58 72 0.81357 0.83789 2.99% 27.0 40s
15192 2226 0.82674 60 77 0.81357 0.83234 2.31% 26.0 45s
H16237 2479 0.8135723 0.83083 2.12% 25.5 48s
H16241 2479 0.8135723 0.83083 2.12% 25.5 48s
17252 2518 cutoff 59 0.81357 0.82960 1.97% 25.0 51s
19617 2757 cutoff 39 0.81357 0.82721 1.68% 24.0 55s
21873 2712 0.82177 62 77 0.81357 0.82494 1.40% 23.3 60s
24486 2518 infeasible 64 0.81357 0.82285 1.14% 22.5 65s
Cutting planes:
Learned: 1
Gomory: 114
Cover: 2
Implied bound: 31
Projected implied bound: 20
Clique: 3
MIR: 26
Flow cover: 81
Inf proof: 124
Zero half: 1
Explored 26567 nodes (584120 simplex iterations) in 68.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.813572 0.813572 0.813572 0.813572
Optimal solution found (tolerance 1.00e-02)
Best objective 8.135722676592e-01, best bound 8.215813990272e-01, gap 0.9844%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmgub9yh0.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8ejxbzwi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.805904
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.098253e+00, 905 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09825 0 84 0.80590 1.09825 36.3% - 0s
0 0 1.01625 0 91 0.80590 1.01625 26.1% - 0s
0 0 1.01625 0 91 0.80590 1.01625 26.1% - 0s
0 0 1.00544 0 108 0.80590 1.00544 24.8% - 0s
0 0 1.00533 0 107 0.80590 1.00533 24.7% - 0s
0 0 1.00380 0 116 0.80590 1.00380 24.6% - 0s
0 0 1.00357 0 115 0.80590 1.00357 24.5% - 0s
0 0 1.00280 0 126 0.80590 1.00280 24.4% - 0s
0 0 1.00276 0 125 0.80590 1.00276 24.4% - 0s
0 0 1.00264 0 122 0.80590 1.00264 24.4% - 0s
0 0 1.00264 0 110 0.80590 1.00264 24.4% - 0s
0 2 1.00264 0 110 0.80590 1.00264 24.4% - 0s
787 526 infeasible 20 0.80590 0.94360 17.1% 22.1 5s
2125 703 0.89704 22 93 0.80590 0.92340 14.6% 29.8 10s
3358 889 cutoff 29 0.80590 0.90439 12.2% 36.4 15s
H 4089 994 0.8059040 0.89672 11.3% 36.7 18s
4759 1169 cutoff 42 0.80590 0.88934 10.4% 36.0 20s
H 5337 1265 0.8059040 0.88284 9.55% 36.2 22s
H 6052 1346 0.8059040 0.87889 9.06% 36.7 25s
H 7230 1531 0.8059040 0.87125 8.11% 36.4 28s
7673 1586 0.81750 42 77 0.80590 0.86858 7.78% 36.1 30s
9063 1728 0.80990 61 78 0.80590 0.86416 7.23% 36.0 35s
10841 2036 0.82745 45 86 0.80590 0.85971 6.68% 35.0 40s
12706 2297 cutoff 38 0.80590 0.85489 6.08% 34.4 45s
14294 2413 cutoff 41 0.80590 0.85192 5.71% 34.0 50s
16249 2589 cutoff 51 0.80590 0.84799 5.22% 33.4 55s
18097 2644 infeasible 48 0.80590 0.84497 4.85% 33.0 60s
19812 2661 cutoff 55 0.80590 0.84133 4.40% 32.8 65s
20670 2708 cutoff 42 0.80590 0.84019 4.25% 32.7 82s
21946 2859 0.81011 37 92 0.80590 0.83838 4.03% 32.5 85s
23356 2828 0.80928 58 92 0.80590 0.83527 3.64% 32.8 90s
24832 2764 0.82192 31 107 0.80590 0.83190 3.23% 33.2 95s
26603 2671 cutoff 59 0.80590 0.82828 2.78% 33.5 100s
28147 2673 cutoff 67 0.80590 0.82588 2.48% 33.5 105s
29880 2755 0.81319 63 85 0.80590 0.82373 2.21% 33.2 110s
31934 2721 0.82029 52 82 0.80590 0.82116 1.89% 33.0 115s
33656 2608 cutoff 85 0.80590 0.81889 1.61% 32.6 120s
36161 2475 0.80868 67 68 0.80590 0.81703 1.38% 31.8 125s
38480 2158 0.81348 71 79 0.80590 0.81437 1.05% 31.2 130s
Cutting planes:
Learned: 1
Gomory: 126
Cover: 3
Implied bound: 42
Projected implied bound: 22
Clique: 3
MIR: 31
Flow cover: 113
Inf proof: 214
Explored 39089 nodes (1212582 simplex iterations) in 131.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.805904 0.805904 0.805904 ... 0.805904
Optimal solution found (tolerance 1.00e-02)
Best objective 8.059040249950e-01, best bound 8.139192264154e-01, gap 0.9946%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj_9gra2h.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp82wwtv15.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.803515
Presolve removed 634 rows and 411 columns
Presolve time: 0.04s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.091346e+00, 992 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09135 0 83 0.80352 1.09135 35.8% - 0s
0 0 1.01129 0 94 0.80352 1.01129 25.9% - 0s
0 0 1.01129 0 94 0.80352 1.01129 25.9% - 0s
0 0 1.00024 0 113 0.80352 1.00024 24.5% - 0s
0 0 1.00004 0 112 0.80352 1.00004 24.5% - 0s
0 0 0.99835 0 121 0.80352 0.99835 24.2% - 0s
0 0 0.99835 0 121 0.80352 0.99835 24.2% - 0s
0 0 0.99756 0 125 0.80352 0.99756 24.1% - 0s
0 0 0.99753 0 124 0.80352 0.99753 24.1% - 0s
0 0 0.99751 0 127 0.80352 0.99751 24.1% - 0s
0 0 0.99751 0 113 0.80352 0.99751 24.1% - 0s
0 2 0.99751 0 113 0.80352 0.99751 24.1% - 0s
829 569 0.92752 17 101 0.80352 0.92752 15.4% 23.7 5s
2284 820 0.87086 31 105 0.80352 0.92752 15.4% 30.0 10s
3420 1080 0.82448 33 112 0.80352 0.91853 14.3% 33.4 15s
H 3423 1081 0.8035154 0.91853 14.3% 33.4 15s
4571 1155 0.86292 29 100 0.80352 0.90544 12.7% 36.0 20s
5639 1252 0.85638 45 106 0.80352 0.89399 11.3% 36.7 25s
7159 1383 infeasible 39 0.80352 0.87731 9.18% 37.3 30s
8640 1627 cutoff 40 0.80352 0.86870 8.11% 36.4 35s
9987 1845 0.80604 41 90 0.80352 0.86225 7.31% 35.8 40s
11700 2184 0.84753 32 111 0.80352 0.85724 6.69% 35.2 45s
13231 2521 0.82225 46 76 0.80352 0.85343 6.21% 34.5 50s
14499 2619 0.82324 46 102 0.80352 0.84838 5.58% 34.4 55s
16366 2846 cutoff 33 0.80352 0.84367 5.00% 33.8 60s
17934 2977 0.81776 43 102 0.80352 0.84094 4.66% 33.2 65s
19805 3082 0.80927 40 103 0.80352 0.83805 4.30% 32.8 70s
20822 3126 cutoff 40 0.80352 0.83652 4.11% 32.5 86s
22455 3151 0.82705 44 103 0.80352 0.83358 3.74% 32.6 90s
23937 3220 cutoff 50 0.80352 0.83131 3.46% 32.8 95s
25799 3236 0.80428 68 76 0.80352 0.82842 3.10% 33.3 101s
27360 3280 cutoff 73 0.80352 0.82602 2.80% 33.5 106s
28993 3342 cutoff 74 0.80352 0.82408 2.56% 33.6 111s
30508 3346 0.82119 53 86 0.80352 0.82224 2.33% 33.7 115s
31981 3292 cutoff 34 0.80352 0.82035 2.09% 33.6 120s
34079 3117 0.81558 61 69 0.80352 0.81797 1.80% 33.6 126s
35606 3070 cutoff 41 0.80352 0.81656 1.62% 33.3 130s
37515 3048 0.81479 96 51 0.80352 0.81496 1.42% 33.0 135s
39704 2880 cutoff 104 0.80352 0.81336 1.22% 32.5 140s
41883 2813 0.80995 43 104 0.80352 0.81179 1.03% 31.8 145s
Cutting planes:
Gomory: 138
Cover: 3
Implied bound: 44
Projected implied bound: 24
Clique: 3
MIR: 41
Flow cover: 118
GUB cover: 1
Inf proof: 216
Explored 42315 nodes (1342667 simplex iterations) in 145.47 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.803515 0.803515
Optimal solution found (tolerance 1.00e-02)
Best objective 8.035153482333e-01, best bound 8.115481820993e-01, gap 0.9997%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp373r2a1y.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpeqbu_mgr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.793981
Presolve removed 648 rows and 420 columns
Presolve time: 0.04s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.077041e+00, 1020 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.07704 0 87 0.79398 1.07704 35.7% - 0s
0 0 0.99835 0 98 0.79398 0.99835 25.7% - 0s
0 0 0.99835 0 98 0.79398 0.99835 25.7% - 0s
0 0 0.98850 0 120 0.79398 0.98850 24.5% - 0s
0 0 0.98830 0 121 0.79398 0.98830 24.5% - 0s
0 0 0.98552 0 130 0.79398 0.98552 24.1% - 0s
0 0 0.98525 0 126 0.79398 0.98525 24.1% - 0s
0 0 0.98478 0 129 0.79398 0.98478 24.0% - 0s
0 0 0.98475 0 128 0.79398 0.98475 24.0% - 0s
0 0 0.98463 0 128 0.79398 0.98463 24.0% - 0s
0 0 0.98463 0 117 0.79398 0.98463 24.0% - 0s
0 2 0.98463 0 116 0.79398 0.98463 24.0% - 0s
765 539 infeasible 16 0.79398 0.91151 14.8% 20.7 5s
1655 505 0.88120 26 108 0.79398 0.90188 13.6% 34.0 10s
2761 617 cutoff 32 0.79398 0.88851 11.9% 34.1 15s
4123 1107 0.84403 42 97 0.79398 0.87649 10.4% 32.7 20s
H 4423 1176 0.7939806 0.87521 10.2% 33.0 21s
5194 1262 infeasible 37 0.79398 0.86769 9.28% 33.8 25s
6711 1352 0.84377 44 113 0.79398 0.85376 7.53% 34.5 30s
8142 1576 0.81248 42 105 0.79398 0.84599 6.55% 34.4 35s
9520 1732 cutoff 50 0.79398 0.84124 5.95% 33.9 40s
11304 1767 0.79999 53 90 0.79398 0.83494 5.16% 33.7 46s
12527 1787 0.80309 53 88 0.79398 0.83081 4.64% 33.4 50s
14567 1823 0.79529 51 92 0.79398 0.82505 3.91% 32.9 55s
16330 1937 cutoff 56 0.79398 0.82017 3.30% 32.5 60s
17858 2078 0.81302 58 91 0.79398 0.81626 2.81% 31.9 65s
19886 2293 0.81209 53 99 0.79398 0.81280 2.37% 30.8 70s
22478 2602 0.80869 63 84 0.79398 0.80934 1.93% 29.4 75s
24583 2860 0.80035 66 67 0.79398 0.80795 1.76% 28.2 80s
27430 2958 0.80559 54 81 0.79398 0.80575 1.48% 27.0 85s
29704 2917 0.80408 57 91 0.79398 0.80413 1.28% 26.2 90s
31875 2809 cutoff 72 0.79398 0.80274 1.10% 25.6 95s
34894 3152 0.80158 76 60 0.79398 0.80179 0.98% 24.4 100s
Cutting planes:
Learned: 1
Gomory: 121
Cover: 6
Implied bound: 48
Projected implied bound: 24
MIR: 34
Flow cover: 83
Inf proof: 190
Explored 35252 nodes (858632 simplex iterations) in 100.24 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.793981 0.793981
Optimal solution found (tolerance 1.00e-02)
Best objective 7.939805845189e-01, best bound 8.016244271780e-01, gap 0.9627%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvrh3dvl9.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpetm10fdv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.78753
Presolve removed 662 rows and 429 columns
Presolve time: 0.04s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.067891e+00, 981 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06789 0 88 0.78753 1.06789 35.6% - 0s
0 0 0.98167 0 99 0.78753 0.98167 24.7% - 0s
0 0 0.98065 0 101 0.78753 0.98065 24.5% - 0s
0 0 0.96318 0 103 0.78753 0.96318 22.3% - 0s
0 0 0.96309 0 105 0.78753 0.96309 22.3% - 0s
0 0 0.96152 0 111 0.78753 0.96152 22.1% - 0s
0 0 0.96152 0 111 0.78753 0.96152 22.1% - 0s
0 0 0.96112 0 113 0.78753 0.96112 22.0% - 0s
0 0 0.96112 0 105 0.78753 0.96112 22.0% - 0s
0 2 0.96112 0 105 0.78753 0.96112 22.0% - 0s
762 531 0.90372 17 121 0.78753 0.90372 14.8% 21.0 5s
1818 641 0.86654 27 109 0.78753 0.89844 14.1% 33.6 10s
3051 881 0.81268 66 90 0.78753 0.87462 11.1% 33.5 15s
4074 1179 0.84980 35 106 0.78753 0.86338 9.63% 34.2 20s
5428 1372 0.80802 43 98 0.78753 0.85220 8.21% 34.5 25s
H 5824 1444 0.7875296 0.85066 8.02% 34.6 26s
6448 1533 0.84732 35 105 0.78753 0.84755 7.62% 35.4 30s
7786 1813 0.81814 57 100 0.78753 0.84324 7.07% 35.0 35s
9344 2185 0.79142 65 87 0.78753 0.83770 6.37% 34.6 40s
H10010 2355 0.7875393 0.83639 6.20% 34.5 43s
10442 2409 0.80069 40 101 0.78754 0.83586 6.14% 34.4 46s
11323 2587 cutoff 46 0.78754 0.83417 5.92% 34.2 50s
13183 3045 0.82582 43 111 0.78754 0.83216 5.67% 33.6 56s
14546 3201 0.82343 47 105 0.78754 0.83013 5.41% 33.5 61s
15828 3367 cutoff 44 0.78754 0.82850 5.20% 33.6 65s
17099 3434 cutoff 48 0.78754 0.82668 4.97% 33.5 70s
18808 3487 cutoff 47 0.78754 0.82475 4.72% 33.5 76s
20109 3520 cutoff 68 0.78754 0.82287 4.49% 33.5 80s
21013 3522 0.82015 47 88 0.78754 0.82127 4.28% 33.5 95s
22462 3539 0.79713 47 107 0.78754 0.81907 4.00% 34.0 100s
H22842 3579 0.7875393 0.81866 3.95% 34.1 102s
22882 3526 cutoff 53 0.78754 0.81852 3.93% 34.1 106s
23990 3514 infeasible 53 0.78754 0.81698 3.74% 34.6 111s
25087 3505 0.79155 46 96 0.78754 0.81565 3.57% 35.0 115s
26598 3440 0.80066 63 90 0.78754 0.81369 3.32% 35.5 121s
27875 3465 cutoff 49 0.78754 0.81244 3.16% 35.7 126s
29124 3485 0.79766 47 108 0.78754 0.81109 2.99% 35.8 130s
30387 3509 infeasible 54 0.78754 0.81008 2.86% 35.9 135s
32021 3481 0.80161 50 94 0.78754 0.80840 2.65% 36.1 140s
33325 3469 cutoff 73 0.78754 0.80724 2.50% 36.2 145s
35023 3454 cutoff 55 0.78754 0.80576 2.31% 36.2 150s
36122 3349 cutoff 54 0.78754 0.80473 2.18% 36.2 155s
37813 3350 cutoff 52 0.78754 0.80334 2.01% 36.0 160s
39302 3224 0.80180 41 122 0.78754 0.80188 1.82% 36.0 165s
40801 3190 cutoff 49 0.78754 0.80073 1.68% 35.8 170s
42465 3231 cutoff 99 0.78754 0.79964 1.54% 35.4 175s
44331 3175 0.79292 42 111 0.78754 0.79828 1.36% 35.1 180s
46531 3539 cutoff 88 0.78754 0.79734 1.24% 34.3 185s
49287 3769 0.79585 53 93 0.78754 0.79594 1.07% 33.5 191s
Cutting planes:
Learned: 1
Gomory: 156
Cover: 6
Implied bound: 53
Projected implied bound: 32
MIR: 34
Flow cover: 146
Inf proof: 238
Explored 50568 nodes (1675593 simplex iterations) in 192.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.787539 0.787539 0.78753 0.78753
Optimal solution found (tolerance 1.00e-02)
Best objective 7.875393331568e-01, best bound 7.953885778976e-01, gap 0.9967%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyea1zlum.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptdk_9nic.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.780356
Presolve removed 676 rows and 438 columns
Presolve time: 0.04s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.057580e+00, 1083 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05758 0 92 0.78036 1.05758 35.5% - 0s
0 0 0.97950 0 102 0.78036 0.97950 25.5% - 0s
0 0 0.97950 0 102 0.78036 0.97950 25.5% - 0s
0 0 0.96893 0 120 0.78036 0.96893 24.2% - 0s
0 0 0.96883 0 124 0.78036 0.96883 24.2% - 0s
0 0 0.96086 0 130 0.78036 0.96086 23.1% - 0s
0 0 0.96085 0 129 0.78036 0.96085 23.1% - 0s
0 0 0.96058 0 126 0.78036 0.96058 23.1% - 0s
0 0 0.96058 0 117 0.78036 0.96058 23.1% - 0s
0 2 0.96058 0 117 0.78036 0.96058 23.1% - 0s
789 534 0.88486 21 122 0.78036 0.90345 15.8% 25.4 5s
1906 611 cutoff 52 0.78036 0.87293 11.9% 30.2 10s
2992 670 0.79937 45 111 0.78036 0.85877 10.0% 34.0 15s
3904 900 0.81380 33 114 0.78036 0.84908 8.81% 35.4 20s
5322 1340 0.81293 47 109 0.78036 0.84077 7.74% 34.6 25s
6441 1556 0.82770 39 118 0.78036 0.83510 7.02% 34.4 30s
7629 1772 0.78253 45 94 0.78036 0.83218 6.64% 34.6 35s
8908 1920 cutoff 40 0.78036 0.82839 6.16% 34.5 40s
9830 1991 0.81150 40 110 0.78036 0.82616 5.87% 35.2 45s
10955 2119 cutoff 48 0.78036 0.82314 5.48% 35.7 50s
12575 2296 0.79399 54 106 0.78036 0.81988 5.07% 35.8 56s
13514 2306 0.78051 44 101 0.78036 0.81860 4.90% 35.8 61s
14770 2330 0.81533 50 101 0.78036 0.81533 4.48% 36.1 65s
16185 2461 0.79373 58 102 0.78036 0.81327 4.22% 35.8 70s
17411 2522 0.79927 40 115 0.78036 0.80977 3.77% 35.7 75s
19020 2496 0.80191 65 66 0.78036 0.80631 3.33% 35.7 80s
20433 2731 0.79878 66 89 0.78036 0.80374 3.00% 34.9 85s
20962 2896 0.79890 52 117 0.78036 0.80326 2.94% 34.7 100s
20974 2904 0.80263 62 178 0.78036 0.80326 2.94% 34.6 106s
20978 2907 0.78717 82 187 0.78036 0.80326 2.94% 34.6 110s
20982 2909 0.79655 57 189 0.78036 0.80326 2.94% 34.6 116s
20986 2912 0.78996 70 214 0.78036 0.80326 2.94% 34.6 120s
20991 2915 0.80048 56 201 0.78036 0.80326 2.94% 34.6 126s
20995 2918 0.79767 59 223 0.78036 0.80326 2.94% 34.6 131s
21000 2921 0.79060 55 230 0.78036 0.80326 2.94% 34.6 135s
21005 2925 0.78685 83 230 0.78036 0.80326 2.94% 34.6 141s
21010 2928 0.78312 55 232 0.78036 0.80326 2.94% 34.6 145s
21014 2931 0.79072 63 240 0.78036 0.80326 2.94% 34.6 150s
21020 2935 0.79975 51 208 0.78036 0.80326 2.94% 34.6 155s
21026 2939 0.80040 58 201 0.78036 0.80326 2.94% 34.6 160s
21033 2943 0.80057 35 233 0.78036 0.80326 2.94% 34.5 165s
21038 2947 0.79501 40 220 0.78036 0.80326 2.94% 34.5 170s
21044 2951 0.78690 72 229 0.78036 0.80326 2.94% 34.5 175s
21050 2955 0.78388 129 225 0.78036 0.80326 2.94% 34.5 180s
21056 2959 0.79958 57 232 0.78036 0.80326 2.94% 34.5 185s
21061 2962 0.78839 69 237 0.78036 0.80326 2.94% 34.5 191s
21066 2965 0.78563 49 218 0.78036 0.80326 2.94% 34.5 195s
21071 2969 0.79978 40 231 0.78036 0.80326 2.94% 34.5 201s
21075 2971 0.79375 59 231 0.78036 0.80326 2.94% 34.5 205s
21079 2974 0.78315 56 236 0.78036 0.80326 2.94% 34.5 210s
21083 2977 0.79785 48 239 0.78036 0.80326 2.94% 34.5 215s
21085 2978 0.79045 42 241 0.78036 0.80326 2.94% 34.5 220s
21088 2983 0.80326 26 232 0.78036 0.80326 2.94% 35.3 228s
21090 2985 0.80326 27 196 0.78036 0.80326 2.94% 35.4 235s
21098 2986 0.80326 29 179 0.78036 0.80326 2.94% 35.5 240s
21129 2986 0.80326 34 191 0.78036 0.80326 2.94% 35.9 245s
21344 3037 0.78914 53 127 0.78036 0.80326 2.94% 36.8 250s
21548 3031 0.79588 32 188 0.78036 0.80326 2.94% 37.9 255s
21719 3021 0.80326 36 191 0.78036 0.80326 2.94% 38.9 260s
21970 3022 0.79167 42 174 0.78036 0.80326 2.94% 40.1 265s
22347 3074 0.80326 44 136 0.78036 0.80326 2.94% 41.2 270s
22465 3121 0.80326 39 164 0.78036 0.80326 2.94% 41.3 277s
22622 3136 0.78425 39 169 0.78036 0.80326 2.94% 42.2 280s
22902 3122 0.80326 33 206 0.78036 0.80326 2.94% 43.5 285s
H23128 2967 0.7803562 0.80326 2.94% 44.1 287s
23178 2943 0.80326 43 177 0.78036 0.80326 2.94% 44.4 290s
23476 2879 cutoff 37 0.78036 0.80326 2.94% 46.1 296s
23740 2815 0.79565 45 157 0.78036 0.80326 2.94% 47.5 301s
23928 2759 cutoff 47 0.78036 0.80326 2.94% 48.6 305s
24297 2683 cutoff 42 0.78036 0.80326 2.94% 49.9 312s
24731 2723 0.78381 40 192 0.78036 0.80326 2.94% 50.7 316s
25240 2771 0.79898 47 176 0.78036 0.80326 2.94% 51.4 322s
25657 2744 0.78362 34 201 0.78036 0.80326 2.94% 51.9 327s
25771 2733 0.80326 37 192 0.78036 0.80326 2.94% 52.2 330s
26311 2684 infeasible 31 0.78036 0.80326 2.94% 53.3 336s
26832 2616 cutoff 62 0.78036 0.80326 2.94% 54.3 342s
27040 2568 0.79925 49 146 0.78036 0.80326 2.94% 55.0 351s
27361 2542 0.78362 56 153 0.78036 0.80326 2.94% 55.4 355s
28023 2484 0.78820 71 127 0.78036 0.80261 2.85% 56.6 363s
28483 2438 cutoff 44 0.78036 0.80174 2.74% 57.1 367s
28984 2383 0.79632 50 153 0.78036 0.80128 2.68% 57.5 371s
29237 2352 0.79882 66 125 0.78036 0.80031 2.56% 57.8 376s
29748 2392 0.79387 38 194 0.78036 0.79972 2.48% 58.2 380s
30216 2451 0.79155 66 138 0.78036 0.79917 2.41% 58.7 385s
30880 2661 cutoff 66 0.78036 0.79859 2.34% 58.8 390s
31331 2729 0.78359 63 137 0.78036 0.79775 2.23% 59.2 395s
32031 2946 0.79591 67 121 0.78036 0.79723 2.16% 59.3 400s
32767 3170 0.78588 53 162 0.78036 0.79692 2.12% 59.3 405s
33962 3434 0.79141 57 129 0.78036 0.79571 1.97% 59.7 414s
34442 3454 0.79526 74 105 0.78036 0.79526 1.91% 60.0 419s
35082 3629 0.79485 81 84 0.78036 0.79485 1.86% 60.0 423s
35556 3670 0.79435 62 157 0.78036 0.79435 1.79% 60.1 427s
36233 3838 cutoff 49 0.78036 0.79434 1.79% 60.1 432s
36415 3822 cutoff 62 0.78036 0.79405 1.75% 60.1 436s
37060 3903 0.79379 44 158 0.78036 0.79379 1.72% 60.0 440s
38171 4064 cutoff 41 0.78036 0.79323 1.65% 60.1 448s
38625 4086 cutoff 47 0.78036 0.79281 1.60% 60.2 451s
39047 4106 0.78450 42 179 0.78036 0.79248 1.55% 60.3 455s
40245 4269 0.78287 90 87 0.78036 0.79191 1.48% 59.8 462s
41049 4480 0.78193 37 186 0.78036 0.79191 1.48% 59.3 466s
42170 4658 infeasible 69 0.78036 0.79133 1.41% 59.1 472s
42699 4759 cutoff 60 0.78036 0.79107 1.37% 58.9 475s
43847 4922 0.79086 72 89 0.78036 0.79086 1.35% 58.4 480s
44620 4909 infeasible 99 0.78036 0.79031 1.27% 58.4 486s
45986 5223 cutoff 66 0.78036 0.78996 1.23% 57.6 491s
47118 5365 0.78310 76 115 0.78036 0.78955 1.18% 57.1 498s
47568 5378 0.78298 71 102 0.78036 0.78945 1.17% 57.0 500s
48802 5428 0.78837 52 146 0.78036 0.78898 1.11% 56.7 506s
49763 5543 cutoff 54 0.78036 0.78873 1.07% 56.4 511s
50995 5790 cutoff 100 0.78036 0.78846 1.04% 55.7 515s
51798 5808 0.78807 118 59 0.78036 0.78822 1.01% 55.6 520s
Cutting planes:
Gomory: 215
Cover: 5
Implied bound: 32
Projected implied bound: 58
Clique: 1
MIR: 202
StrongCG: 1
Flow cover: 587
Inf proof: 151
Zero half: 2
Explored 52366 nodes (2896653 simplex iterations) in 520.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.780356 0.780356
Optimal solution found (tolerance 1.00e-02)
Best objective 7.803561888894e-01, best bound 7.881596505574e-01, gap 1.0000%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv84asc7g.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4ruracer.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.775134
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.048751e+00, 1030 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04875 0 93 0.77513 1.04875 35.3% - 0s
0 0 0.97070 0 108 0.77513 0.97070 25.2% - 0s
0 0 0.97070 0 109 0.77513 0.97070 25.2% - 0s
0 0 0.96124 0 122 0.77513 0.96124 24.0% - 0s
0 0 0.96118 0 122 0.77513 0.96118 24.0% - 0s
0 0 0.95503 0 138 0.77513 0.95503 23.2% - 0s
0 0 0.95475 0 140 0.77513 0.95475 23.2% - 0s
0 0 0.95413 0 139 0.77513 0.95413 23.1% - 0s
0 0 0.95383 0 137 0.77513 0.95383 23.1% - 0s
0 0 0.95380 0 138 0.77513 0.95380 23.1% - 0s
0 0 0.95380 0 129 0.77513 0.95380 23.1% - 0s
0 2 0.95380 0 128 0.77513 0.95380 23.1% - 0s
779 560 0.89079 15 130 0.77513 0.89079 14.9% 20.6 5s
1774 719 0.79371 48 105 0.77513 0.89079 14.9% 31.7 10s
2819 780 infeasible 26 0.77513 0.87086 12.3% 36.6 15s
3782 893 0.84123 29 118 0.77513 0.86105 11.1% 38.6 21s
H 3790 893 0.7752024 0.86105 11.1% 38.6 21s
4542 929 cutoff 31 0.77520 0.85492 10.3% 39.7 25s
5746 1198 cutoff 36 0.77520 0.84703 9.27% 40.2 30s
6893 1408 0.82624 31 122 0.77520 0.84062 8.44% 39.8 35s
8005 1492 cutoff 42 0.77520 0.83518 7.74% 40.0 40s
9370 1631 infeasible 48 0.77520 0.82761 6.76% 39.7 45s
10282 1767 0.79316 40 109 0.77520 0.82330 6.20% 39.4 50s
11645 1911 0.80455 35 110 0.77520 0.81511 5.15% 39.1 55s
13098 1988 infeasible 60 0.77520 0.80838 4.28% 38.5 60s
15046 2253 cutoff 42 0.77520 0.80264 3.54% 37.3 66s
16638 2496 0.79726 43 110 0.77520 0.79986 3.18% 36.3 70s
H17167 2612 0.7752024 0.79891 3.06% 36.0 71s
18269 2749 0.79175 65 99 0.77520 0.79769 2.90% 35.3 76s
19920 3090 0.79148 68 77 0.77520 0.79678 2.78% 34.1 80s
20593 3294 0.78029 35 126 0.77520 0.79584 2.66% 33.6 99s
21171 3405 0.78168 92 91 0.77520 0.79562 2.63% 33.2 100s
22986 3719 0.78311 58 96 0.77520 0.79399 2.42% 32.7 105s
24815 3877 cutoff 45 0.77520 0.79244 2.22% 32.3 110s
26685 4132 0.77608 53 112 0.77520 0.79136 2.08% 31.8 115s
28576 4380 0.78807 83 71 0.77520 0.79055 1.98% 31.2 120s
30928 4712 0.78722 67 96 0.77520 0.78963 1.86% 30.6 126s
33016 5234 0.78886 103 67 0.77520 0.78887 1.76% 29.8 130s
35074 5669 infeasible 82 0.77520 0.78828 1.69% 29.2 135s
37479 6167 cutoff 90 0.77520 0.78771 1.61% 28.5 140s
39617 6389 infeasible 50 0.77520 0.78704 1.53% 28.2 145s
41691 6569 0.78065 46 104 0.77520 0.78650 1.46% 27.9 151s
43472 6754 cutoff 133 0.77520 0.78606 1.40% 27.6 155s
46004 7159 0.77801 91 70 0.77520 0.78550 1.33% 27.0 160s
48757 7588 0.78243 50 94 0.77520 0.78498 1.26% 26.4 165s
51459 7883 cutoff 96 0.77520 0.78444 1.19% 25.9 170s
53980 8306 cutoff 69 0.77520 0.78403 1.14% 25.4 175s
*55286 8343 153 0.7756950 0.78389 1.06% 25.2 177s
55378 8407 cutoff 89 0.77570 0.78389 1.06% 25.1 180s
57314 8695 cutoff 94 0.77570 0.78366 1.03% 24.8 185s
Cutting planes:
Learned: 1
Gomory: 157
Cover: 1
Implied bound: 44
Projected implied bound: 23
MIR: 43
Flow cover: 141
Inf proof: 283
Zero half: 1
Explored 59701 nodes (1454338 simplex iterations) in 188.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.775695 0.775202 0.775202 0.775134
Optimal solution found (tolerance 1.00e-02)
Best objective 7.756950044243e-01, best bound 7.833393153983e-01, gap 0.9855%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpd49mqsry.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplpfis0rb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.766103
Presolve removed 704 rows and 456 columns
Presolve time: 0.03s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 1.029531e+00, 1027 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02953 0 93 0.76610 1.02953 34.4% - 0s
0 0 0.95344 0 105 0.76610 0.95344 24.5% - 0s
0 0 0.95344 0 105 0.76610 0.95344 24.5% - 0s
0 0 0.93835 0 113 0.76610 0.93835 22.5% - 0s
0 0 0.93818 0 115 0.76610 0.93818 22.5% - 0s
0 0 0.93650 0 121 0.76610 0.93650 22.2% - 0s
0 0 0.93650 0 121 0.76610 0.93650 22.2% - 0s
0 0 0.93617 0 125 0.76610 0.93617 22.2% - 0s
0 0 0.93617 0 111 0.76610 0.93617 22.2% - 0s
0 2 0.93617 0 111 0.76610 0.93617 22.2% - 0s
760 526 infeasible 16 0.76610 0.87414 14.1% 25.8 5s
1820 705 0.83332 26 129 0.76610 0.86795 13.3% 31.8 10s
2903 773 cutoff 30 0.76610 0.85002 11.0% 33.9 15s
3859 1018 0.76921 35 109 0.76610 0.84336 10.1% 35.5 20s
5053 1142 0.80658 31 121 0.76610 0.83552 9.06% 37.1 26s
5874 1204 cutoff 44 0.76610 0.83147 8.53% 37.4 30s
7193 1329 infeasible 47 0.76610 0.82483 7.67% 38.3 35s
8189 1427 0.79729 32 108 0.76610 0.82021 7.06% 38.6 40s
H 9152 1571 0.7661027 0.81724 6.68% 38.3 44s
9233 1557 0.79467 46 99 0.76610 0.81632 6.56% 38.3 45s
10523 1756 0.79640 42 109 0.76610 0.81324 6.15% 37.7 50s
11929 1956 cutoff 49 0.76610 0.80935 5.64% 37.5 55s
13769 2120 0.79681 47 97 0.76610 0.80324 4.85% 36.9 61s
15265 2250 0.79974 48 105 0.76610 0.79995 4.42% 36.3 65s
16732 2324 cutoff 57 0.76610 0.79664 3.99% 35.7 70s
18697 2519 0.76760 64 108 0.76610 0.79277 3.48% 34.9 76s
20190 2712 cutoff 60 0.76610 0.79102 3.25% 34.4 80s
21168 2766 0.77391 61 85 0.76610 0.78922 3.02% 34.0 97s
21993 2847 cutoff 63 0.76610 0.78747 2.79% 34.0 100s
23274 2964 infeasible 44 0.76610 0.78583 2.58% 34.1 105s
24908 3061 0.76761 63 101 0.76610 0.78356 2.28% 34.3 111s
26336 3233 0.76878 86 71 0.76610 0.78276 2.17% 34.1 115s
27977 3284 0.76840 63 79 0.76610 0.78133 1.99% 34.0 120s
29981 3494 cutoff 79 0.76610 0.77972 1.78% 33.6 125s
32244 3887 0.77861 81 77 0.76610 0.77870 1.64% 32.8 130s
34258 4080 0.77699 64 79 0.76610 0.77769 1.51% 32.2 135s
36658 4308 0.77495 49 115 0.76610 0.77666 1.38% 31.5 140s
38533 4415 0.76754 56 94 0.76610 0.77599 1.29% 31.0 145s
41010 4783 cutoff 93 0.76610 0.77519 1.19% 30.3 150s
43108 4914 0.76764 78 79 0.76610 0.77455 1.10% 29.7 155s
Cutting planes:
Gomory: 162
Cover: 5
Implied bound: 38
Projected implied bound: 21
MIR: 34
Flow cover: 107
Inf proof: 216
Explored 45364 nodes (1329263 simplex iterations) in 159.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.766103 0.766103
Optimal solution found (tolerance 1.00e-02)
Best objective 7.661027098072e-01, best bound 7.735827897789e-01, gap 0.9764%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2hwdhpmm.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpsa34wd26.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.755937
Presolve removed 718 rows and 465 columns
Presolve time: 0.04s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 1.017426e+00, 1038 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01743 0 92 0.75594 1.01743 34.6% - 0s
0 0 0.94811 0 118 0.75594 0.94811 25.4% - 0s
0 0 0.94811 0 118 0.75594 0.94811 25.4% - 0s
0 0 0.93948 0 125 0.75594 0.93948 24.3% - 0s
0 0 0.93937 0 127 0.75594 0.93937 24.3% - 0s
0 0 0.93825 0 148 0.75594 0.93825 24.1% - 0s
0 0 0.93803 0 139 0.75594 0.93803 24.1% - 0s
0 0 0.93758 0 146 0.75594 0.93758 24.0% - 0s
0 0 0.93755 0 144 0.75594 0.93755 24.0% - 0s
0 0 0.93754 0 145 0.75594 0.93754 24.0% - 0s
0 0 0.93754 0 129 0.75594 0.93754 24.0% - 0s
0 2 0.93754 0 128 0.75594 0.93754 24.0% - 0s
769 502 cutoff 15 0.75594 0.87167 15.3% 24.0 5s
1855 720 cutoff 49 0.75594 0.86299 14.2% 29.7 10s
3126 1084 cutoff 26 0.75594 0.85131 12.6% 30.6 16s
H 3134 1075 0.7572132 0.85131 12.4% 30.7 16s
3999 1273 0.76284 36 122 0.75721 0.84507 11.6% 32.0 20s
5235 1562 0.80576 29 111 0.75721 0.83815 10.7% 33.2 25s
6564 1762 0.77766 33 121 0.75721 0.82824 9.38% 34.7 30s
7209 1857 0.77983 42 119 0.75721 0.82490 8.94% 35.3 35s
8678 2150 cutoff 30 0.75721 0.81707 7.90% 36.0 40s
10161 2492 0.78230 40 101 0.75721 0.81184 7.21% 35.7 46s
11508 2737 0.76925 39 117 0.75721 0.80734 6.62% 35.4 51s
12743 2888 cutoff 39 0.75721 0.80319 6.07% 35.3 55s
14045 2946 0.78529 31 133 0.75721 0.79956 5.59% 35.4 60s
15770 3115 cutoff 40 0.75721 0.79525 5.02% 34.9 66s
H16274 3227 0.7572132 0.79450 4.92% 34.8 68s
16753 3170 0.76300 49 100 0.75721 0.79338 4.78% 34.8 71s
17607 3258 0.78591 42 106 0.75721 0.79196 4.59% 34.7 76s
18982 3488 0.76533 48 120 0.75721 0.79010 4.34% 34.3 81s
20371 3689 0.75890 67 97 0.75721 0.78916 4.22% 33.8 85s
20851 3802 0.78599 31 129 0.75721 0.78916 4.22% 33.7 101s
20860 3808 0.78403 40 171 0.75721 0.78916 4.22% 33.6 105s
20866 3812 0.75793 49 148 0.75721 0.78916 4.22% 33.6 110s
20870 3815 0.76405 50 159 0.75721 0.78916 4.22% 33.6 115s
20876 3819 0.78449 42 175 0.75721 0.78916 4.22% 33.6 120s
20881 3822 0.77980 41 173 0.75721 0.78916 4.22% 33.6 126s
20885 3825 0.76534 80 164 0.75721 0.78916 4.22% 33.6 131s
20889 3827 0.77872 47 180 0.75721 0.78916 4.22% 33.6 136s
20892 3829 0.77812 46 187 0.75721 0.78916 4.22% 33.6 140s
20895 3831 0.76970 37 191 0.75721 0.78916 4.22% 33.6 146s
20898 3833 0.78332 49 191 0.75721 0.78916 4.22% 33.6 150s
20903 3837 0.76786 78 170 0.75721 0.78916 4.22% 33.6 155s
20907 3839 0.77511 37 161 0.75721 0.78916 4.22% 33.6 160s
20910 3841 0.76260 35 162 0.75721 0.78916 4.22% 33.6 166s
20913 3843 0.78567 36 168 0.75721 0.78916 4.22% 33.6 170s
20916 3845 0.76195 47 164 0.75721 0.78916 4.22% 33.6 175s
20919 3847 0.77249 47 155 0.75721 0.78916 4.22% 33.5 180s
20923 3850 0.78376 62 166 0.75721 0.78916 4.22% 33.5 186s
20925 3851 0.76556 50 167 0.75721 0.78916 4.22% 33.5 190s
20929 3854 0.76588 50 162 0.75721 0.78916 4.22% 33.5 196s
20934 3857 0.77923 45 172 0.75721 0.78916 4.22% 33.5 200s
20938 3860 0.77209 41 172 0.75721 0.78916 4.22% 33.5 205s
20943 3863 0.78119 44 168 0.75721 0.78916 4.22% 33.5 210s
20946 3865 0.77275 56 175 0.75721 0.78916 4.22% 33.5 215s
20951 3869 cutoff 24 0.75721 0.78916 4.22% 34.3 223s
20955 3869 0.78916 25 178 0.75721 0.78916 4.22% 34.4 225s
20970 3877 0.78481 28 171 0.75721 0.78916 4.22% 34.5 230s
21074 3884 cutoff 42 0.75721 0.78916 4.22% 34.8 235s
21168 3876 0.76318 39 121 0.75721 0.78916 4.22% 35.0 240s
21491 3850 0.75997 34 133 0.75721 0.78314 3.42% 36.1 245s
22076 3858 cutoff 36 0.75721 0.78154 3.21% 36.8 250s
22612 3828 0.77461 39 132 0.75721 0.77991 3.00% 37.5 255s
23231 3848 0.76412 56 100 0.75721 0.77879 2.85% 38.4 260s
23887 3865 0.76880 57 116 0.75721 0.77755 2.69% 39.0 265s
24767 3884 0.76719 37 114 0.75721 0.77651 2.55% 39.3 270s
H25312 3718 0.7572132 0.77584 2.46% 39.5 273s
25335 3690 0.76911 38 146 0.75721 0.77574 2.45% 39.5 275s
26015 3647 cutoff 60 0.75721 0.77468 2.31% 40.1 280s
26848 3606 0.75913 50 133 0.75721 0.77405 2.22% 40.3 285s
27793 3504 0.76726 61 107 0.75721 0.77344 2.14% 40.7 290s
28138 3443 cutoff 68 0.75721 0.77270 2.05% 40.9 296s
28944 3392 0.76482 63 76 0.75721 0.77213 1.97% 41.1 300s
29778 3326 0.76123 47 141 0.75721 0.77154 1.89% 41.4 305s
30668 3249 0.77123 40 144 0.75721 0.77123 1.85% 41.6 310s
31987 3211 0.76724 69 89 0.75721 0.77043 1.74% 41.4 315s
33102 3546 cutoff 60 0.75721 0.76973 1.65% 41.3 320s
34239 3846 0.76252 121 40 0.75721 0.76952 1.63% 41.3 325s
*34663 3680 157 0.7585865 0.76952 1.44% 41.1 325s
35392 3880 0.76562 83 62 0.75859 0.76889 1.36% 41.1 330s
37522 4498 0.76818 64 122 0.75859 0.76838 1.29% 40.3 337s
38450 4693 0.76800 49 127 0.75859 0.76800 1.24% 40.2 340s
39606 4963 0.76011 116 57 0.75859 0.76791 1.23% 40.0 345s
41420 5353 cutoff 58 0.75859 0.76728 1.15% 39.5 350s
43075 5706 cutoff 64 0.75859 0.76681 1.08% 38.9 356s
44790 6167 infeasible 72 0.75859 0.76656 1.05% 38.4 361s
Cutting planes:
Gomory: 198
Cover: 3
Implied bound: 24
Projected implied bound: 58
Clique: 1
MIR: 162
Flow cover: 429
Inf proof: 126
Zero half: 1
Explored 46368 nodes (1762535 simplex iterations) in 364.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.758586 0.757213 0.757213 ... 0.755937
Optimal solution found (tolerance 1.00e-02)
Best objective 7.585864507441e-01, best bound 7.661409716762e-01, gap 0.9959%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiegsn11y.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7l7zsls0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.753922
Presolve removed 732 rows and 474 columns
Presolve time: 0.03s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 1.009939e+00, 1118 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00994 0 94 0.75392 1.00994 34.0% - 0s
0 0 0.94467 0 115 0.75392 0.94467 25.3% - 0s
0 0 0.94467 0 116 0.75392 0.94467 25.3% - 0s
0 0 0.93615 0 127 0.75392 0.93615 24.2% - 0s
0 0 0.93611 0 126 0.75392 0.93611 24.2% - 0s
0 0 0.93504 0 137 0.75392 0.93504 24.0% - 0s
0 0 0.93484 0 138 0.75392 0.93484 24.0% - 0s
0 0 0.93445 0 142 0.75392 0.93445 23.9% - 0s
0 0 0.93440 0 141 0.75392 0.93440 23.9% - 0s
0 0 0.93440 0 140 0.75392 0.93440 23.9% - 0s
0 0 0.93440 0 130 0.75392 0.93440 23.9% - 0s
0 2 0.93440 0 128 0.75392 0.93440 23.9% - 0s
752 554 0.87187 12 134 0.75392 0.87187 15.6% 24.9 5s
* 1292 713 218 0.7540068 0.87187 15.6% 27.8 8s
1517 743 infeasible 36 0.75401 0.87187 15.6% 29.5 10s
2588 975 infeasible 44 0.75401 0.85562 13.5% 33.6 15s
H 3419 1361 0.7541800 0.85048 12.8% 36.1 19s
3437 1352 cutoff 26 0.75418 0.85048 12.8% 36.2 20s
4349 1636 cutoff 32 0.75418 0.84372 11.9% 39.7 25s
5049 1782 cutoff 36 0.75418 0.84008 11.4% 41.0 30s
6145 1981 0.76872 32 123 0.75418 0.83432 10.6% 42.2 35s
6734 2049 cutoff 33 0.75418 0.83111 10.2% 43.4 40s
7684 2117 0.75564 57 106 0.75418 0.82664 9.61% 44.5 45s
8823 2256 0.78187 42 111 0.75418 0.82278 9.10% 44.8 51s
9718 2353 0.79625 31 115 0.75418 0.82008 8.74% 45.5 56s
10914 2559 cutoff 36 0.75418 0.81740 8.38% 45.3 61s
11778 2661 0.77677 35 122 0.75418 0.81530 8.10% 45.4 65s
12575 2736 cutoff 32 0.75418 0.81358 7.88% 45.6 70s
13790 2803 cutoff 35 0.75418 0.81045 7.46% 46.0 76s
15129 2992 0.76015 38 108 0.75418 0.80741 7.06% 46.0 81s
15967 3072 0.79444 41 107 0.75418 0.80580 6.84% 46.2 85s
H16434 3159 0.7541800 0.80487 6.72% 46.1 88s
16436 3168 0.79745 42 105 0.75418 0.80487 6.72% 46.1 91s
H16437 3166 0.7542961 0.80487 6.71% 46.1 91s
16877 3153 0.78797 31 123 0.75430 0.80386 6.57% 46.1 95s
18177 3287 0.77653 34 116 0.75430 0.80106 6.20% 46.1 101s
19661 3444 cutoff 37 0.75430 0.79877 5.90% 45.5 106s
20545 3499 0.75693 33 124 0.75430 0.79738 5.71% 45.4 110s
20940 3574 0.79472 30 130 0.75430 0.79700 5.66% 45.4 128s
20946 3578 0.76689 42 209 0.75430 0.79700 5.66% 45.4 130s
20953 3583 0.77529 34 186 0.75430 0.79700 5.66% 45.4 135s
20959 3587 0.77262 60 221 0.75430 0.79700 5.66% 45.4 140s
20963 3589 0.77193 44 223 0.75430 0.79700 5.66% 45.4 145s
20966 3591 0.77046 40 207 0.75430 0.79700 5.66% 45.4 150s
20972 3595 0.78441 53 219 0.75430 0.79700 5.66% 45.4 156s
20976 3598 0.75636 79 208 0.75430 0.79700 5.66% 45.4 160s
20981 3601 0.77424 43 224 0.75430 0.79700 5.66% 45.3 165s
20986 3605 0.78824 34 233 0.75430 0.79700 5.66% 45.3 171s
20989 3607 0.78240 35 229 0.75430 0.79700 5.66% 45.3 175s
20994 3610 0.76985 62 235 0.75430 0.79700 5.66% 45.3 181s
20997 3612 0.78051 43 249 0.75430 0.79700 5.66% 45.3 185s
21001 3615 0.79469 29 242 0.75430 0.79700 5.66% 45.3 191s
21004 3617 0.79412 29 242 0.75430 0.79700 5.66% 45.3 196s
21007 3619 0.76441 64 246 0.75430 0.79700 5.66% 45.3 200s
21011 3621 0.77811 34 244 0.75430 0.79700 5.66% 45.3 205s
21015 3624 0.79204 31 248 0.75430 0.79700 5.66% 45.3 211s
21020 3627 0.77619 106 248 0.75430 0.79700 5.66% 45.3 215s
21025 3631 0.78870 37 235 0.75430 0.79700 5.66% 45.3 220s
21029 3633 0.75452 55 243 0.75430 0.79700 5.66% 45.2 225s
21033 3636 0.76253 60 255 0.75430 0.79700 5.66% 45.2 230s
21037 3639 0.75861 43 246 0.75430 0.79700 5.66% 45.2 235s
21041 3641 0.78026 40 235 0.75430 0.79700 5.66% 45.2 240s
21046 3645 0.76689 42 245 0.75430 0.79700 5.66% 45.2 245s
21050 3647 0.78672 37 248 0.75430 0.79700 5.66% 45.2 250s
21054 3650 0.78401 33 246 0.75430 0.79700 5.66% 45.2 255s
21058 3653 0.78284 35 245 0.75430 0.79700 5.66% 45.2 260s
21063 3656 0.77193 44 264 0.75430 0.79700 5.66% 45.2 265s
21067 3659 0.78308 33 249 0.75430 0.79700 5.66% 45.2 270s
21073 3663 0.77874 63 258 0.75430 0.79700 5.66% 45.2 275s
21078 3666 0.79226 42 256 0.75430 0.79700 5.66% 45.1 281s
21082 3669 0.77742 39 263 0.75430 0.79700 5.66% 45.1 287s
21085 3674 0.79700 22 239 0.75430 0.79700 5.66% 46.4 296s
21087 3676 0.79700 23 237 0.75430 0.79700 5.66% 46.4 303s
21091 3675 infeasible 24 0.75430 0.79700 5.66% 46.5 310s
21117 3683 0.79700 30 226 0.75430 0.79700 5.66% 46.8 315s
21184 3688 0.79700 28 229 0.75430 0.79700 5.66% 47.4 321s
21397 3759 0.75590 84 89 0.75430 0.79700 5.66% 47.6 325s
21652 3859 0.77185 105 87 0.75430 0.79700 5.66% 47.9 330s
21972 3934 0.79700 37 207 0.75430 0.79700 5.66% 48.6 335s
22214 3979 0.79700 33 220 0.75430 0.79700 5.66% 49.4 340s
22435 4002 0.78731 35 204 0.75430 0.79700 5.66% 50.2 346s
22615 4034 0.79700 38 197 0.75430 0.79700 5.66% 50.9 350s
22788 4078 0.77081 63 164 0.75430 0.79700 5.66% 51.6 356s
22915 4070 0.78779 32 203 0.75430 0.79700 5.66% 52.2 360s
23213 4118 0.79700 34 212 0.75430 0.79700 5.66% 52.7 365s
23378 4134 0.79050 38 186 0.75430 0.79700 5.66% 53.5 370s
23728 4184 infeasible 40 0.75430 0.79700 5.66% 54.2 376s
23938 4195 0.79700 38 219 0.75430 0.79700 5.66% 54.9 380s
24112 4217 0.77303 37 173 0.75430 0.79700 5.66% 55.6 385s
24346 4234 0.79700 44 183 0.75430 0.79700 5.66% 56.3 390s
24574 4239 0.79338 37 229 0.75430 0.79700 5.66% 57.1 395s
24767 4259 0.78479 41 185 0.75430 0.79700 5.66% 58.0 400s
25025 4264 0.79700 30 219 0.75430 0.79700 5.66% 59.0 407s
25171 4267 cutoff 42 0.75430 0.79700 5.66% 59.4 411s
25301 4259 0.78458 38 181 0.75430 0.79700 5.66% 60.4 418s
25413 4264 infeasible 39 0.75430 0.79700 5.66% 61.1 421s
25528 4253 0.75556 40 187 0.75430 0.79700 5.66% 61.7 425s
25857 4272 0.77389 39 187 0.75430 0.79700 5.66% 62.9 433s
26013 4254 cutoff 42 0.75430 0.79700 5.66% 63.4 436s
26176 4253 0.76627 45 160 0.75430 0.79700 5.66% 64.0 446s
26183 4247 cutoff 46 0.75430 0.79700 5.66% 64.1 451s
26337 4258 cutoff 45 0.75430 0.79700 5.66% 64.7 455s
26516 4252 0.78699 32 193 0.75430 0.79700 5.66% 65.3 460s
27001 4227 0.79700 35 189 0.75430 0.79700 5.66% 66.6 469s
27181 4206 0.75780 39 191 0.75430 0.79700 5.66% 67.4 474s
27399 4189 0.79137 37 188 0.75430 0.79700 5.66% 68.2 479s
27639 4193 infeasible 43 0.75430 0.79700 5.66% 68.9 484s
27816 4179 0.78689 41 184 0.75430 0.79700 5.66% 69.7 490s
28013 4186 0.79621 41 204 0.75430 0.79700 5.66% 70.6 495s
28216 4161 0.79057 43 172 0.75430 0.79700 5.66% 71.5 501s
28444 4161 0.78061 43 160 0.75430 0.79700 5.66% 72.0 508s
28698 4141 cutoff 41 0.75430 0.79700 5.66% 72.9 514s
28924 4153 0.79700 42 202 0.75430 0.79700 5.66% 73.7 520s
29142 4135 0.77465 39 174 0.75430 0.79700 5.66% 74.7 529s
H29218 3941 0.7542961 0.79700 5.66% 75.0 529s
29253 3924 0.77160 47 167 0.75430 0.79700 5.66% 75.1 535s
29509 3908 0.76551 40 159 0.75430 0.79700 5.66% 76.1 542s
29754 3882 0.79692 37 205 0.75430 0.79700 5.66% 77.2 549s
30040 3814 0.76098 44 180 0.75430 0.79700 5.66% 78.3 557s
30301 3782 cutoff 41 0.75430 0.79700 5.66% 79.4 564s
30598 3731 0.76559 37 209 0.75430 0.79700 5.66% 80.5 572s
30817 3701 cutoff 35 0.75430 0.79700 5.66% 81.4 580s
31142 3676 0.77049 46 173 0.75430 0.79700 5.66% 82.5 588s
31442 3631 0.76247 40 162 0.75430 0.79700 5.66% 83.8 597s
31567 3633 0.78353 47 151 0.75430 0.79700 5.66% 84.3 600s
Cutting planes:
Gomory: 200
Cover: 6
Implied bound: 33
Projected implied bound: 41
Clique: 1
MIR: 180
StrongCG: 1
Flow cover: 524
Inf proof: 76
Zero half: 1
Explored 31678 nodes (2685279 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.754296 0.754296 0.75418 ... 0.753922
Time limit reached
Best objective 7.542960549969e-01, best bound 7.970019772019e-01, gap 5.6617%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsnei43ck.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxfbs5m4p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.749869
Presolve removed 746 rows and 483 columns
Presolve time: 0.03s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 1.002172e+00, 1163 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00217 0 95 0.74987 1.00217 33.6% - 0s
0 0 0.93365 0 114 0.74987 0.93365 24.5% - 0s
0 0 0.93365 0 114 0.74987 0.93365 24.5% - 0s
0 0 0.92528 0 131 0.74987 0.92528 23.4% - 0s
0 0 0.92517 0 133 0.74987 0.92517 23.4% - 0s
0 0 0.92415 0 146 0.74987 0.92415 23.2% - 0s
0 0 0.92397 0 140 0.74987 0.92397 23.2% - 0s
0 0 0.92357 0 148 0.74987 0.92357 23.2% - 0s
0 0 0.92354 0 150 0.74987 0.92354 23.2% - 0s
0 0 0.92345 0 146 0.74987 0.92345 23.1% - 0s
0 0 0.92345 0 136 0.74987 0.92345 23.1% - 0s
0 2 0.92345 0 134 0.74987 0.92345 23.1% - 0s
750 559 0.86697 16 135 0.74987 0.86697 15.6% 21.6 5s
1508 700 cutoff 29 0.74987 0.85984 14.7% 33.4 10s
2683 925 0.83898 33 112 0.74987 0.84945 13.3% 34.8 15s
3657 1194 0.75726 59 89 0.74987 0.83916 11.9% 37.6 20s
4940 1533 0.76998 38 103 0.74987 0.83135 10.9% 38.6 27s
5582 1696 0.75711 56 102 0.74987 0.82897 10.5% 38.5 30s
6746 1970 0.79296 32 115 0.74987 0.82420 9.91% 39.0 35s
7859 2111 0.77599 37 120 0.74987 0.81959 9.30% 39.7 40s
9288 2441 0.75868 50 116 0.74987 0.81630 8.86% 39.2 46s
10225 2509 cutoff 38 0.74987 0.81148 8.22% 39.6 50s
11547 2753 0.75876 52 103 0.74987 0.80682 7.59% 39.2 55s
12717 2789 0.79036 39 122 0.74987 0.80099 6.82% 39.5 60s
H13217 2899 0.7498689 0.79896 6.55% 39.5 62s
13377 2861 cutoff 42 0.74987 0.79828 6.46% 39.4 65s
14814 3124 0.75484 44 108 0.74987 0.79468 5.98% 38.7 70s
16058 3221 0.76626 49 116 0.74987 0.79092 5.47% 38.4 75s
17586 3320 cutoff 48 0.74987 0.78807 5.09% 37.9 80s
18951 3470 0.76462 48 115 0.74987 0.78515 4.70% 37.4 85s
19923 3553 0.75510 42 104 0.74987 0.78325 4.45% 37.2 90s
20839 3627 infeasible 54 0.74987 0.78175 4.25% 36.9 109s
21300 3678 cutoff 49 0.74987 0.78070 4.11% 36.8 110s
22401 3749 cutoff 46 0.74987 0.77883 3.86% 37.0 115s
23803 3780 0.76124 48 113 0.74987 0.77692 3.61% 37.3 121s
24890 3882 cutoff 42 0.74987 0.77561 3.43% 37.4 125s
25968 3988 cutoff 54 0.74987 0.77438 3.27% 37.5 130s
27262 4193 0.77122 52 129 0.74987 0.77293 3.08% 37.5 135s
28416 4298 0.77098 68 80 0.74987 0.77170 2.91% 37.6 140s
29923 4421 0.76198 61 103 0.74987 0.77035 2.73% 37.7 146s
31144 4539 0.76569 47 146 0.74987 0.76929 2.59% 37.6 150s
32452 4706 cutoff 57 0.74987 0.76856 2.49% 37.3 155s
33748 4804 cutoff 50 0.74987 0.76762 2.37% 37.2 160s
35441 4947 0.75778 53 116 0.74987 0.76637 2.20% 37.0 166s
36741 5100 0.75942 56 119 0.74987 0.76583 2.13% 36.8 170s
38175 5268 0.76250 61 91 0.74987 0.76513 2.04% 36.4 175s
39528 5430 cutoff 70 0.74987 0.76456 1.96% 36.2 180s
40728 5506 0.76225 70 90 0.74987 0.76400 1.88% 36.0 185s
42513 5690 0.75565 132 54 0.74987 0.76333 1.80% 35.7 191s
43921 5837 0.76210 48 130 0.74987 0.76282 1.73% 35.4 195s
45515 5911 0.76055 77 100 0.74987 0.76203 1.62% 35.2 200s
46581 5878 infeasible 57 0.74987 0.76153 1.55% 35.1 205s
48473 6100 cutoff 57 0.74987 0.76104 1.49% 34.7 210s
50041 6198 0.75949 54 127 0.74987 0.76055 1.42% 34.4 216s
51879 6514 cutoff 60 0.74987 0.76020 1.38% 33.9 220s
53740 6785 0.75492 97 67 0.74987 0.75966 1.31% 33.6 225s
55895 7123 cutoff 54 0.74987 0.75921 1.25% 33.1 230s
57773 7359 0.75234 106 60 0.74987 0.75882 1.19% 32.7 235s
59816 7692 0.75046 123 54 0.74987 0.75850 1.15% 32.1 240s
62589 8236 0.75429 74 94 0.74987 0.75808 1.09% 31.4 245s
65130 8656 0.75780 88 60 0.74987 0.75780 1.06% 30.8 250s
67538 8972 0.75123 110 49 0.74987 0.75740 1.00% 30.2 255s
Cutting planes:
Gomory: 169
Cover: 3
Implied bound: 51
Projected implied bound: 31
Clique: 1
MIR: 29
Flow cover: 118
Inf proof: 327
Explored 68055 nodes (2051966 simplex iterations) in 255.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.749869 0.749869
Optimal solution found (tolerance 1.00e-02)
Best objective 7.498688903850e-01, best bound 7.573342196150e-01, gap 0.9956%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpghzqle90.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpaizlygmw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.743479
Presolve removed 760 rows and 492 columns
Presolve time: 0.03s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 9.899439e-01, 1102 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98994 0 96 0.74348 0.98994 33.2% - 0s
0 0 0.92292 0 125 0.74348 0.92292 24.1% - 0s
0 0 0.92292 0 125 0.74348 0.92292 24.1% - 0s
0 0 0.91511 0 139 0.74348 0.91511 23.1% - 0s
0 0 0.91503 0 141 0.74348 0.91503 23.1% - 0s
0 0 0.91370 0 147 0.74348 0.91370 22.9% - 0s
0 0 0.91359 0 146 0.74348 0.91359 22.9% - 0s
0 0 0.91314 0 148 0.74348 0.91314 22.8% - 0s
0 0 0.91311 0 148 0.74348 0.91311 22.8% - 0s
0 0 0.91310 0 148 0.74348 0.91310 22.8% - 0s
0 0 0.91310 0 137 0.74348 0.91310 22.8% - 0s
0 2 0.91310 0 137 0.74348 0.91310 22.8% - 0s
769 532 0.85816 13 142 0.74348 0.85816 15.4% 26.9 5s
1541 663 0.83794 23 131 0.74348 0.84608 13.8% 32.2 10s
2764 938 cutoff 28 0.74348 0.82876 11.5% 34.5 15s
3659 1190 0.78640 32 137 0.74348 0.82214 10.6% 36.6 20s
4423 1292 0.76967 28 123 0.74348 0.81397 9.48% 39.0 25s
5516 1426 infeasible 60 0.74348 0.80706 8.55% 40.0 30s
6573 1622 cutoff 51 0.74348 0.80085 7.72% 40.4 35s
7943 1949 0.77015 37 129 0.74348 0.79574 7.03% 39.4 40s
9232 2203 cutoff 66 0.74348 0.79238 6.58% 39.2 46s
10077 2359 0.77568 42 134 0.74348 0.79038 6.31% 38.8 51s
11322 2587 0.78450 69 105 0.74348 0.78805 6.00% 38.6 56s
12714 2827 infeasible 63 0.74348 0.78605 5.73% 38.3 61s
H13188 2943 0.7434794 0.78520 5.61% 38.3 63s
13205 2909 0.77924 51 110 0.74348 0.78515 5.60% 38.2 65s
14971 3166 0.76371 47 113 0.74348 0.78212 5.20% 37.8 71s
16378 3381 cutoff 83 0.74348 0.78018 4.94% 37.6 76s
17623 3541 infeasible 73 0.74348 0.77719 4.53% 37.5 80s
18867 3638 0.75035 68 107 0.74348 0.77568 4.33% 37.6 85s
20099 3795 0.74759 55 97 0.74348 0.77426 4.14% 37.5 90s
21011 3949 0.75366 46 121 0.74348 0.77317 3.99% 37.4 109s
21429 3995 cutoff 62 0.74348 0.77275 3.94% 37.4 111s
22506 4076 0.76049 54 122 0.74348 0.77170 3.80% 37.7 115s
23570 4104 0.75590 48 115 0.74348 0.77056 3.64% 38.0 120s
24613 4106 0.74996 49 123 0.74348 0.76964 3.52% 38.3 125s
26133 4215 0.76594 45 106 0.74348 0.76825 3.33% 38.6 131s
27281 4245 cutoff 72 0.74348 0.76713 3.18% 38.8 136s
28393 4252 0.75289 78 119 0.74348 0.76624 3.06% 39.1 140s
29551 4233 cutoff 75 0.74348 0.76517 2.92% 39.4 145s
30655 4184 0.75487 44 130 0.74348 0.76412 2.78% 39.8 150s
31809 4235 0.75466 49 107 0.74348 0.76313 2.64% 39.9 155s
33398 4193 0.75964 48 121 0.74348 0.76155 2.43% 39.9 161s
34761 4319 0.75640 63 101 0.74348 0.76066 2.31% 39.8 165s
36503 4456 0.75380 40 126 0.74348 0.75929 2.13% 39.6 170s
37829 4547 0.75622 78 81 0.74348 0.75851 2.02% 39.3 175s
39575 4661 infeasible 44 0.74348 0.75747 1.88% 38.8 181s
41214 4902 infeasible 76 0.74348 0.75673 1.78% 38.3 185s
43064 5070 0.74742 54 120 0.74348 0.75584 1.66% 37.8 191s
44512 5215 0.74819 47 116 0.74348 0.75527 1.59% 37.4 195s
46548 5414 0.75135 87 69 0.74348 0.75464 1.50% 36.7 200s
48615 5718 0.75394 79 112 0.74348 0.75394 1.41% 36.1 207s
49923 5801 0.75166 92 96 0.74348 0.75361 1.36% 35.8 210s
51930 5982 cutoff 54 0.74348 0.75314 1.30% 35.2 215s
53729 6075 0.75177 78 96 0.74348 0.75270 1.24% 34.9 220s
55423 6132 cutoff 63 0.74348 0.75224 1.18% 34.5 225s
57329 6235 0.74643 71 91 0.74348 0.75181 1.12% 34.1 230s
59309 6508 0.75126 111 70 0.74348 0.75145 1.07% 33.6 235s
61632 6884 0.74982 108 67 0.74348 0.75121 1.04% 32.9 240s
Cutting planes:
Gomory: 173
Cover: 6
Implied bound: 50
Projected implied bound: 24
MIR: 36
Flow cover: 138
Inf proof: 271
Explored 64656 nodes (2068704 simplex iterations) in 244.41 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.743479 0.743479
Optimal solution found (tolerance 1.00e-02)
Best objective 7.434793945559e-01, best bound 7.508616798997e-01, gap 0.9929%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3rjq913c.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpppewim76.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.738633
Presolve removed 774 rows and 501 columns
Presolve time: 0.03s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 9.808674e-01, 1150 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98087 0 100 0.73863 0.98087 32.8% - 0s
0 0 0.91758 0 115 0.73863 0.91758 24.2% - 0s
0 0 0.91758 0 115 0.73863 0.91758 24.2% - 0s
0 0 0.90876 0 139 0.73863 0.90876 23.0% - 0s
0 0 0.90862 0 139 0.73863 0.90862 23.0% - 0s
0 0 0.90785 0 147 0.73863 0.90785 22.9% - 0s
0 0 0.90773 0 149 0.73863 0.90773 22.9% - 0s
0 0 0.90742 0 152 0.73863 0.90742 22.9% - 0s
0 0 0.90740 0 151 0.73863 0.90740 22.8% - 0s
0 0 0.90740 0 151 0.73863 0.90740 22.8% - 0s
0 0 0.90740 0 141 0.73863 0.90740 22.8% - 0s
0 2 0.90740 0 141 0.73863 0.90740 22.8% - 0s
759 544 0.86147 13 141 0.73863 0.86147 16.6% 22.8 5s
1319 680 0.78831 21 170 0.73863 0.86147 16.6% 28.5 10s
2021 703 infeasible 21 0.73863 0.84931 15.0% 38.1 15s
2725 835 cutoff 30 0.73863 0.84066 13.8% 41.1 20s
3572 1046 0.75482 32 138 0.73863 0.83419 12.9% 42.5 25s
4466 1258 0.74960 37 146 0.73863 0.83031 12.4% 43.8 30s
5430 1412 0.74638 36 140 0.73863 0.82370 11.5% 45.7 35s
6080 1518 infeasible 28 0.73863 0.81851 10.8% 45.8 40s
7227 1656 0.79013 27 140 0.73863 0.80947 9.59% 46.3 45s
8374 1757 0.74648 37 141 0.73863 0.80238 8.63% 46.4 51s
9367 1801 cutoff 33 0.73863 0.79760 7.98% 46.8 57s
10131 1973 infeasible 37 0.73863 0.79576 7.73% 46.1 61s
11483 2247 cutoff 35 0.73863 0.79097 7.09% 45.3 66s
12403 2447 cutoff 46 0.73863 0.78846 6.75% 44.9 70s
13376 2560 cutoff 33 0.73863 0.78603 6.42% 44.8 76s
14277 2756 0.78402 40 126 0.73863 0.78402 6.15% 44.4 80s
16064 3194 0.74207 36 131 0.73863 0.78220 5.90% 43.4 86s
16971 3399 0.77665 46 116 0.73863 0.78033 5.65% 43.2 91s
18629 3805 0.75217 51 109 0.73863 0.77885 5.45% 42.8 96s
19818 4121 infeasible 53 0.73863 0.77850 5.40% 42.3 100s
20779 4445 0.76621 48 138 0.73863 0.77758 5.27% 41.9 119s
21166 4517 0.74873 54 135 0.73863 0.77729 5.23% 41.9 120s
22378 4872 0.74512 37 161 0.73863 0.77654 5.13% 42.0 125s
23168 4980 cutoff 58 0.73863 0.77586 5.04% 42.6 130s
23980 5070 cutoff 47 0.73863 0.77510 4.94% 43.2 135s
24874 5215 0.75849 42 148 0.73863 0.77440 4.84% 43.7 141s
25778 5361 cutoff 47 0.73863 0.77376 4.76% 44.1 146s
26702 5573 0.74738 42 160 0.73863 0.77311 4.67% 44.4 151s
27301 5691 cutoff 55 0.73863 0.77280 4.63% 44.7 155s
28089 5773 0.74620 54 124 0.73863 0.77211 4.53% 45.4 160s
28912 5855 cutoff 49 0.73863 0.77156 4.46% 46.1 166s
29474 5896 cutoff 65 0.73863 0.77109 4.39% 46.5 170s
30415 6040 infeasible 66 0.73863 0.77050 4.31% 46.9 176s
31011 6100 0.75359 43 128 0.73863 0.76996 4.24% 47.4 180s
31970 6189 cutoff 53 0.73863 0.76929 4.15% 47.9 187s
32651 6268 0.76008 45 138 0.73863 0.76899 4.11% 48.1 191s
33283 6336 infeasible 40 0.73863 0.76841 4.03% 48.4 195s
34316 6417 0.74032 52 116 0.73863 0.76777 3.94% 48.9 201s
34992 6484 cutoff 54 0.73863 0.76733 3.88% 49.3 207s
35407 6486 cutoff 58 0.73863 0.76700 3.84% 49.4 211s
36144 6532 0.76230 47 149 0.73863 0.76629 3.74% 49.8 216s
36832 6530 0.75372 47 131 0.73863 0.76567 3.66% 50.1 220s
37626 6575 cutoff 33 0.73863 0.76514 3.59% 50.4 225s
38686 6538 infeasible 44 0.73863 0.76435 3.48% 50.9 232s
39410 6593 0.75548 42 161 0.73863 0.76384 3.41% 51.1 236s
40101 6581 cutoff 52 0.73863 0.76339 3.35% 51.4 241s
40882 6654 0.74830 48 136 0.73863 0.76295 3.29% 51.6 246s
41680 6731 0.74636 53 144 0.73863 0.76262 3.25% 51.7 251s
42356 6738 cutoff 55 0.73863 0.76212 3.18% 52.0 255s
43126 6758 0.75171 66 144 0.73863 0.76168 3.12% 52.2 260s
44043 6961 0.74619 48 163 0.73863 0.76142 3.09% 52.1 265s
44904 7090 0.73932 44 138 0.73863 0.76099 3.03% 52.1 270s
45779 7164 0.75031 64 94 0.73863 0.76068 2.99% 52.1 275s
47016 7297 0.74031 39 160 0.73863 0.76014 2.91% 52.2 282s
47840 7378 0.75146 45 146 0.73863 0.75982 2.87% 52.3 286s
48623 7415 0.75045 74 104 0.73863 0.75931 2.80% 52.5 291s
49567 7604 0.74178 56 147 0.73863 0.75900 2.76% 52.3 296s
50450 7730 cutoff 62 0.73863 0.75878 2.73% 52.3 300s
51324 7850 cutoff 41 0.73863 0.75846 2.68% 52.3 306s
H51385 7860 0.7386325 0.75844 2.68% 52.3 306s
51837 7896 0.73879 97 61 0.73863 0.75824 2.65% 52.3 311s
52670 7937 0.75791 58 119 0.73863 0.75792 2.61% 52.3 316s
53501 7996 cutoff 52 0.73863 0.75754 2.56% 52.3 320s
54487 8170 0.75008 57 117 0.73863 0.75724 2.52% 52.1 325s
55427 8359 infeasible 81 0.73863 0.75704 2.49% 51.9 330s
56248 8373 0.75405 49 116 0.73863 0.75678 2.46% 51.9 337s
57187 8468 0.74229 61 122 0.73863 0.75657 2.43% 51.9 342s
58080 8556 0.74894 63 117 0.73863 0.75634 2.40% 51.8 346s
58873 8598 0.75132 48 133 0.73863 0.75616 2.37% 51.9 352s
59762 8667 cutoff 50 0.73863 0.75588 2.34% 51.8 357s
60584 8692 0.74795 59 126 0.73863 0.75564 2.30% 51.9 361s
61487 8738 0.74034 61 136 0.73863 0.75532 2.26% 51.8 366s
62366 8785 0.74423 71 103 0.73863 0.75509 2.23% 51.8 370s
63198 8848 0.74202 59 114 0.73863 0.75481 2.19% 51.8 375s
64002 8875 cutoff 47 0.73863 0.75458 2.16% 51.8 380s
64988 8917 0.75181 41 126 0.73863 0.75439 2.13% 51.9 387s
65805 8937 infeasible 70 0.73863 0.75410 2.09% 51.9 391s
66685 9012 0.74829 56 128 0.73863 0.75386 2.06% 51.8 396s
67587 9113 0.74774 45 146 0.73863 0.75364 2.03% 51.8 401s
68383 9090 cutoff 55 0.73863 0.75340 2.00% 51.8 406s
69247 9181 0.74445 67 98 0.73863 0.75332 1.99% 51.8 410s
70150 9226 cutoff 43 0.73863 0.75304 1.95% 51.8 415s
71481 9310 0.74638 57 131 0.73863 0.75271 1.91% 51.7 422s
72585 9426 cutoff 58 0.73863 0.75252 1.88% 51.6 426s
73507 9487 cutoff 60 0.73863 0.75229 1.85% 51.5 431s
74457 9520 cutoff 57 0.73863 0.75208 1.82% 51.4 436s
75371 9609 0.73920 100 77 0.73863 0.75191 1.80% 51.3 440s
76181 9593 0.75118 93 105 0.73863 0.75161 1.76% 51.3 445s
77429 9559 cutoff 99 0.73863 0.75127 1.71% 51.3 451s
78334 9563 0.74665 62 138 0.73863 0.75108 1.68% 51.2 455s
79766 9645 0.74104 58 122 0.73863 0.75079 1.65% 51.0 462s
80680 9647 cutoff 111 0.73863 0.75060 1.62% 50.9 466s
81508 9606 cutoff 52 0.73863 0.75040 1.59% 50.9 470s
82699 9519 0.74729 37 143 0.73863 0.75013 1.56% 50.9 476s
83511 9488 cutoff 59 0.73863 0.74986 1.52% 50.8 480s
84213 9408 infeasible 83 0.73863 0.74968 1.50% 50.8 487s
84794 9332 cutoff 60 0.73863 0.74950 1.47% 50.8 490s
85991 9273 0.74893 92 81 0.73863 0.74919 1.43% 50.6 496s
87072 9172 0.74276 112 79 0.73863 0.74893 1.39% 50.6 501s
87807 9094 0.73996 126 75 0.73863 0.74873 1.37% 50.5 505s
88903 9017 0.74606 76 102 0.73863 0.74848 1.33% 50.4 510s
89961 8942 0.74660 68 132 0.73863 0.74817 1.29% 50.3 515s
91079 8879 0.74231 149 44 0.73863 0.74795 1.26% 50.1 520s
92250 8839 infeasible 64 0.73863 0.74771 1.23% 50.0 525s
93192 8767 0.74540 131 65 0.73863 0.74749 1.20% 49.9 530s
94197 8688 cutoff 64 0.73863 0.74725 1.17% 49.8 535s
95403 8729 0.74021 39 141 0.73863 0.74704 1.14% 49.6 540s
96587 8548 cutoff 64 0.73863 0.74673 1.10% 49.5 545s
98040 8612 0.74436 98 103 0.73863 0.74653 1.07% 49.1 550s
99793 8687 0.74093 48 154 0.73863 0.74623 1.03% 48.8 556s
100815 8644 0.74381 54 141 0.73863 0.74604 1.00% 48.6 560s
Cutting planes:
Gomory: 186
Cover: 8
Implied bound: 84
Projected implied bound: 29
Clique: 1
MIR: 51
Flow cover: 149
GUB cover: 1
Inf proof: 382
Explored 101341 nodes (4915076 simplex iterations) in 560.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.738633 0.738633
Optimal solution found (tolerance 1.00e-02)
Best objective 7.386325398309e-01, best bound 7.460010969116e-01, gap 0.9976%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfotypo9s.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1k2r1lgg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.727249
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 9.615555e-01, 1211 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96156 0 101 0.72725 0.96156 32.2% - 0s
0 0 0.90555 0 120 0.72725 0.90555 24.5% - 0s
0 0 0.90555 0 120 0.72725 0.90555 24.5% - 0s
0 0 0.89655 0 135 0.72725 0.89655 23.3% - 0s
0 0 0.89636 0 134 0.72725 0.89636 23.3% - 0s
0 0 0.89518 0 149 0.72725 0.89518 23.1% - 0s
0 0 0.89518 0 149 0.72725 0.89518 23.1% - 0s
0 0 0.89496 0 152 0.72725 0.89496 23.1% - 0s
0 0 0.89496 0 137 0.72725 0.89496 23.1% - 0s
0 2 0.89496 0 137 0.72725 0.89496 23.1% - 0s
743 559 0.84263 15 134 0.72725 0.84263 15.9% 24.5 5s
1486 724 0.79907 25 134 0.72725 0.83665 15.0% 29.7 10s
2527 725 infeasible 29 0.72725 0.81913 12.6% 34.1 15s
3146 848 0.75479 58 114 0.72725 0.80997 11.4% 36.7 20s
4207 1091 0.74811 45 111 0.72725 0.80034 10.0% 37.3 25s
5370 1306 0.72931 33 121 0.72725 0.79445 9.24% 37.4 30s
6580 1578 0.76726 40 125 0.72725 0.78881 8.46% 37.6 36s
7602 1777 0.75551 43 114 0.72725 0.78453 7.88% 38.2 40s
8440 1821 0.73668 49 122 0.72725 0.78239 7.58% 38.7 46s
9457 2016 0.74457 35 129 0.72725 0.77937 7.17% 38.8 50s
10538 2292 infeasible 31 0.72725 0.77753 6.91% 38.8 55s
11952 2551 cutoff 41 0.72725 0.77471 6.53% 38.7 61s
12937 2817 0.74803 81 82 0.72725 0.77318 6.32% 38.4 66s
14306 3129 cutoff 50 0.72725 0.77184 6.13% 37.9 71s
15643 3506 0.73021 50 113 0.72725 0.77039 5.93% 37.5 76s
16934 3767 0.76482 54 115 0.72725 0.76924 5.77% 37.4 81s
18142 4083 cutoff 72 0.72725 0.76814 5.62% 37.3 86s
19366 4286 0.76507 76 96 0.72725 0.76693 5.46% 37.2 91s
20643 4453 0.72837 69 115 0.72725 0.76545 5.25% 37.2 111s
21691 4618 0.74345 55 127 0.72725 0.76417 5.08% 37.5 116s
22595 4686 cutoff 47 0.72725 0.76254 4.85% 38.1 121s
23532 4763 infeasible 46 0.72725 0.76078 4.61% 38.7 126s
24509 4804 0.74236 47 144 0.72725 0.75950 4.43% 39.1 131s
25206 4840 cutoff 55 0.72725 0.75856 4.31% 39.5 135s
26270 4925 0.73172 37 142 0.72725 0.75742 4.15% 39.9 140s
27303 4997 cutoff 46 0.72725 0.75624 3.99% 40.2 145s
28356 5051 0.73603 45 149 0.72725 0.75483 3.79% 40.7 151s
29465 5132 0.73413 44 145 0.72725 0.75369 3.64% 41.0 156s
30221 5172 cutoff 75 0.72725 0.75282 3.52% 41.2 160s
31352 5221 0.74335 50 136 0.72725 0.75199 3.40% 41.5 166s
32186 5317 cutoff 69 0.72725 0.75141 3.32% 41.6 171s
H32350 5318 0.7274571 0.75115 3.26% 41.6 171s
32807 5412 cutoff 50 0.72746 0.75097 3.23% 41.5 175s
33981 5554 0.73199 57 129 0.72746 0.75010 3.11% 41.6 182s
34782 5608 0.74141 51 133 0.72746 0.74968 3.06% 41.7 186s
35574 5659 0.74111 48 145 0.72746 0.74902 2.96% 41.8 190s
36890 5878 0.74540 51 132 0.72746 0.74853 2.90% 41.6 195s
37763 6044 0.73935 64 124 0.72746 0.74823 2.86% 41.5 201s
38609 6103 cutoff 56 0.72746 0.74788 2.81% 41.6 205s
39817 6149 0.74329 63 122 0.72746 0.74719 2.71% 41.7 210s
41109 6250 infeasible 75 0.72746 0.74683 2.66% 41.7 216s
41867 6282 0.72910 63 116 0.72746 0.74636 2.60% 41.8 220s
43127 6358 cutoff 59 0.72746 0.74579 2.52% 41.8 226s
44051 6451 cutoff 55 0.72746 0.74546 2.48% 41.7 230s
45427 6592 infeasible 66 0.72746 0.74503 2.42% 41.6 236s
46198 6582 0.74199 69 103 0.72746 0.74468 2.37% 41.6 240s
47649 6801 0.73847 73 100 0.72746 0.74425 2.31% 41.3 246s
48571 6862 0.73263 63 113 0.72746 0.74393 2.26% 41.3 250s
49775 6882 cutoff 44 0.72746 0.74345 2.20% 41.3 255s
51019 6941 0.73299 75 96 0.72746 0.74295 2.13% 41.2 261s
51828 6999 0.73837 68 120 0.72746 0.74266 2.09% 41.2 265s
53184 7109 cutoff 33 0.72746 0.74221 2.03% 41.0 270s
54460 7182 cutoff 62 0.72746 0.74172 1.96% 40.9 275s
55658 7160 0.72909 70 123 0.72746 0.74130 1.90% 40.9 281s
56566 7197 cutoff 72 0.72746 0.74098 1.86% 40.8 285s
58033 7028 infeasible 48 0.72746 0.74040 1.78% 40.8 291s
58904 7001 0.74025 112 80 0.72746 0.74025 1.76% 40.8 295s
60725 7079 cutoff 113 0.72746 0.73953 1.66% 40.5 301s
*60825 7056 211 0.7275747 0.73953 1.64% 40.4 301s
61264 7242 infeasible 78 0.72757 0.73941 1.63% 40.3 306s
H61266 7153 0.7278426 0.73941 1.59% 40.3 306s
62041 7031 0.73083 63 119 0.72784 0.73912 1.55% 40.3 310s
63390 7227 0.73029 89 82 0.72784 0.73868 1.49% 40.0 315s
64683 7282 cutoff 74 0.72784 0.73822 1.43% 39.9 320s
66150 7260 cutoff 69 0.72784 0.73771 1.36% 39.7 326s
67278 7275 0.73129 89 91 0.72784 0.73736 1.31% 39.6 330s
68896 7354 0.73267 74 131 0.72784 0.73687 1.24% 39.3 335s
71151 7846 0.73232 110 74 0.72784 0.73638 1.17% 38.7 341s
72747 8178 infeasible 46 0.72784 0.73609 1.13% 38.3 345s
74629 8598 0.73444 132 61 0.72784 0.73587 1.10% 37.7 350s
77022 9161 0.73070 65 133 0.72784 0.73554 1.06% 37.0 355s
78715 9422 0.73249 153 59 0.72784 0.73526 1.02% 36.6 360s
Cutting planes:
Gomory: 184
Cover: 7
Implied bound: 54
Projected implied bound: 31
MIR: 31
Flow cover: 139
GUB cover: 1
Inf proof: 319
Explored 79517 nodes (2901754 simplex iterations) in 361.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.727843 0.727575 0.727457 0.727249
Optimal solution found (tolerance 1.00e-02)
Best objective 7.278425893402e-01, best bound 7.351064296584e-01, gap 0.9980%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpangodm5p.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6s68puzq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.716573
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 9.436090e-01, 1219 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94361 0 104 0.71657 0.94361 31.7% - 0s
0 0 0.89051 0 124 0.71657 0.89051 24.3% - 0s
0 0 0.89051 0 124 0.71657 0.89051 24.3% - 0s
0 0 0.88280 0 144 0.71657 0.88280 23.2% - 0s
0 0 0.88250 0 148 0.71657 0.88250 23.2% - 0s
0 0 0.88096 0 160 0.71657 0.88096 22.9% - 0s
0 0 0.88087 0 163 0.71657 0.88087 22.9% - 0s
0 0 0.88077 0 163 0.71657 0.88077 22.9% - 0s
0 0 0.88077 0 150 0.71657 0.88077 22.9% - 0s
0 2 0.88077 0 148 0.71657 0.88077 22.9% - 0s
758 554 0.83225 14 145 0.71657 0.83225 16.1% 22.2 6s
1502 767 infeasible 31 0.71657 0.82378 15.0% 26.6 10s
2552 760 cutoff 37 0.71657 0.79745 11.3% 31.0 15s
H 3004 908 0.7165727 0.79516 11.0% 30.8 17s
3526 1046 0.72017 42 134 0.71657 0.79181 10.5% 31.6 20s
4601 1310 0.75394 41 130 0.71657 0.78830 10.0% 33.4 25s
5379 1508 0.73306 29 143 0.71657 0.78627 9.73% 34.3 30s
6465 1715 0.73106 45 136 0.71657 0.78271 9.23% 35.4 35s
7460 1964 0.76738 39 141 0.71657 0.78040 8.91% 35.9 40s
8575 2195 0.75886 29 168 0.71657 0.77774 8.54% 36.4 45s
9699 2377 0.72316 39 130 0.71657 0.77449 8.08% 37.2 51s
10520 2548 0.74105 32 152 0.71657 0.77256 7.81% 37.2 55s
11603 2786 0.72236 33 152 0.71657 0.77030 7.50% 37.2 61s
12950 3084 infeasible 56 0.71657 0.76805 7.18% 37.0 66s
13708 3212 0.71914 41 145 0.71657 0.76629 6.94% 37.2 70s
14982 3468 0.74424 48 130 0.71657 0.76432 6.66% 37.3 75s
H16157 3718 0.7165727 0.76260 6.42% 37.3 82s
16205 3689 0.72073 58 117 0.71657 0.76255 6.42% 37.3 86s
17039 3807 0.74107 46 139 0.71657 0.76141 6.26% 37.3 90s
18171 3965 cutoff 51 0.71657 0.76014 6.08% 37.5 95s
19357 4133 cutoff 36 0.71657 0.75879 5.89% 37.7 101s
20149 4218 0.73564 50 138 0.71657 0.75819 5.81% 37.9 105s
20965 4302 0.72390 47 132 0.71657 0.75719 5.67% 38.1 127s
21676 4403 0.71689 149 58 0.71657 0.75672 5.60% 38.3 130s
22620 4399 0.72004 62 135 0.71657 0.75515 5.38% 39.0 136s
23310 4449 0.74265 88 108 0.71657 0.75437 5.27% 39.5 140s
24527 4630 0.74177 51 155 0.71657 0.75312 5.10% 39.7 146s
25875 4851 0.73745 43 139 0.71657 0.75198 4.94% 39.8 151s
26784 5058 cutoff 42 0.71657 0.75125 4.84% 39.7 155s
27886 5175 0.73894 45 136 0.71657 0.75010 4.68% 40.2 161s
28675 5210 cutoff 51 0.71657 0.74954 4.60% 40.4 165s
29975 5366 cutoff 88 0.71657 0.74853 4.46% 40.5 171s
31191 5464 cutoff 77 0.71657 0.74740 4.30% 40.8 176s
32036 5548 0.71866 56 132 0.71657 0.74669 4.20% 41.0 180s
33253 5610 cutoff 70 0.71657 0.74544 4.03% 41.4 185s
34425 5668 0.71999 46 144 0.71657 0.74433 3.87% 41.7 191s
35212 5744 cutoff 53 0.71657 0.74342 3.75% 41.8 195s
36493 5846 cutoff 49 0.71657 0.74234 3.60% 42.0 201s
37764 5883 0.73155 73 118 0.71657 0.74105 3.42% 42.2 206s
38600 5952 0.72291 54 144 0.71657 0.74049 3.34% 42.3 210s
40012 6141 0.72705 47 127 0.71657 0.73972 3.23% 42.1 216s
41277 6274 0.73056 60 126 0.71657 0.73886 3.11% 42.1 221s
42078 6328 cutoff 62 0.71657 0.73837 3.04% 42.2 225s
43336 6464 infeasible 81 0.71657 0.73759 2.93% 42.1 231s
44631 6609 cutoff 50 0.71657 0.73708 2.86% 42.0 236s
45517 6659 cutoff 76 0.71657 0.73664 2.80% 42.0 240s
46982 6861 cutoff 50 0.71657 0.73596 2.71% 41.7 245s
48449 7180 infeasible 62 0.71657 0.73545 2.63% 41.3 251s
49475 7364 0.73200 119 92 0.71657 0.73513 2.59% 41.1 255s
50820 7595 0.72908 67 123 0.71657 0.73471 2.53% 40.9 260s
52346 7811 cutoff 112 0.71657 0.73436 2.48% 40.5 265s
53240 7933 0.72886 43 143 0.71657 0.73404 2.44% 40.4 271s
54200 8038 cutoff 65 0.71657 0.73378 2.40% 40.3 275s
55630 8241 infeasible 97 0.71657 0.73335 2.34% 40.0 280s
56817 8348 cutoff 55 0.71657 0.73303 2.30% 39.9 285s
58103 8600 0.72528 68 135 0.71657 0.73257 2.23% 39.7 290s
59351 8726 cutoff 48 0.71657 0.73222 2.18% 39.6 295s
60657 8885 0.72684 83 116 0.71657 0.73178 2.12% 39.4 300s
62059 9097 0.72223 76 122 0.71657 0.73140 2.07% 39.2 305s
63484 9311 0.72185 78 130 0.71657 0.73106 2.02% 39.0 310s
64782 9418 cutoff 60 0.71657 0.73074 1.98% 38.9 315s
66175 9583 0.72020 45 151 0.71657 0.73037 1.93% 38.7 320s
67620 9780 cutoff 95 0.71657 0.73014 1.89% 38.5 325s
69686 10130 cutoff 74 0.71657 0.72975 1.84% 38.1 331s
71274 10459 0.71804 91 93 0.71657 0.72951 1.81% 37.8 336s
72619 10634 0.72060 146 48 0.71657 0.72923 1.77% 37.6 340s
74135 10982 0.72264 102 96 0.71657 0.72900 1.73% 37.4 346s
75316 11078 0.72289 71 124 0.71657 0.72881 1.71% 37.1 351s
76617 11228 cutoff 71 0.71657 0.72857 1.67% 37.0 356s
78056 11419 0.72089 59 141 0.71657 0.72840 1.65% 36.7 360s
80055 11761 cutoff 71 0.71657 0.72803 1.60% 36.4 365s
81427 11944 cutoff 62 0.71657 0.72784 1.57% 36.2 370s
83269 12278 cutoff 76 0.71657 0.72755 1.53% 35.9 375s
85197 12674 0.71816 91 99 0.71657 0.72728 1.49% 35.6 381s
86499 12818 cutoff 38 0.71657 0.72707 1.46% 35.5 385s
88396 13129 0.72211 138 71 0.71657 0.72678 1.42% 35.3 390s
90368 13454 0.71955 70 141 0.71657 0.72654 1.39% 35.0 396s
91966 13778 0.71909 103 75 0.71657 0.72638 1.37% 34.7 400s
93892 14083 cutoff 77 0.71657 0.72618 1.34% 34.5 406s
95654 14499 0.72415 120 79 0.71657 0.72606 1.32% 34.1 410s
97907 15118 0.71680 134 69 0.71657 0.72589 1.30% 33.8 416s
99588 15620 cutoff 47 0.71657 0.72580 1.29% 33.5 420s
101997 16394 0.72163 48 143 0.71657 0.72569 1.27% 33.1 426s
102983 16532 0.71869 136 76 0.71657 0.72564 1.27% 32.9 430s
104515 17024 0.72376 142 63 0.71657 0.72551 1.25% 32.7 435s
106615 17748 0.72413 138 61 0.71657 0.72542 1.24% 32.3 440s
109053 18466 0.72213 93 123 0.71657 0.72528 1.21% 32.0 445s
111214 19095 0.71706 163 34 0.71657 0.72513 1.19% 31.6 450s
113906 19877 0.72440 130 69 0.71657 0.72500 1.18% 31.3 456s
116370 20763 0.72259 125 90 0.71657 0.72489 1.16% 30.9 460s
118403 21420 0.72099 107 110 0.71657 0.72481 1.15% 30.6 465s
120735 21957 0.72410 151 77 0.71657 0.72468 1.13% 30.3 470s
123376 22792 0.72382 110 103 0.71657 0.72459 1.12% 29.9 475s
125469 23389 0.72426 126 79 0.71657 0.72451 1.11% 29.7 480s
128087 24182 infeasible 148 0.71657 0.72442 1.10% 29.3 485s
130436 24754 0.72320 137 59 0.71657 0.72431 1.08% 29.1 490s
133074 25565 0.71814 159 38 0.71657 0.72422 1.07% 28.8 495s
135374 26113 0.71826 94 99 0.71657 0.72415 1.06% 28.5 500s
137738 26744 0.72231 127 69 0.71657 0.72408 1.05% 28.3 505s
139996 27371 0.72132 59 147 0.71657 0.72400 1.04% 28.1 510s
142477 28077 cutoff 64 0.71657 0.72397 1.03% 27.8 516s
143943 28446 0.72334 109 110 0.71657 0.72389 1.02% 27.7 520s
146201 28915 infeasible 91 0.71657 0.72381 1.01% 27.5 525s
148550 29515 0.72248 131 58 0.71657 0.72374 1.00% 27.3 530s
Cutting planes:
Gomory: 197
Cover: 3
Implied bound: 66
Projected implied bound: 29
Clique: 4
MIR: 33
Flow cover: 148
Inf proof: 502
Explored 148977 nodes (4067727 simplex iterations) in 530.89 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.716573 0.716573 0.716573
Optimal solution found (tolerance 1.00e-02)
Best objective 7.165727388609e-01, best bound 7.237298509175e-01, gap 0.9988%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgqcrddhw.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpol86ltbv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.709419
Presolve removed 816 rows and 528 columns
Presolve time: 0.03s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 9.307932e-01, 1241 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93079 0 105 0.70942 0.93079 31.2% - 0s
0 0 0.88066 0 121 0.70942 0.88066 24.1% - 0s
0 0 0.88066 0 121 0.70942 0.88066 24.1% - 0s
0 0 0.86676 0 130 0.70942 0.86676 22.2% - 0s
0 0 0.86660 0 129 0.70942 0.86660 22.2% - 0s
0 0 0.86536 0 139 0.70942 0.86536 22.0% - 0s
0 0 0.86528 0 141 0.70942 0.86528 22.0% - 0s
0 0 0.86498 0 140 0.70942 0.86498 21.9% - 0s
0 0 0.86498 0 130 0.70942 0.86498 21.9% - 0s
0 2 0.86498 0 128 0.70942 0.86498 21.9% - 0s
757 559 0.72538 36 151 0.70942 0.82519 16.3% 19.1 5s
1055 630 0.73333 97 90 0.70942 0.82247 15.9% 32.8 10s
2039 912 0.73245 69 103 0.70942 0.80339 13.2% 35.1 15s
2926 1098 cutoff 41 0.70942 0.79822 12.5% 39.2 22s
H 2937 1098 0.7094195 0.79822 12.5% 39.1 22s
3787 1497 cutoff 34 0.70942 0.79320 11.8% 37.3 25s
4840 1813 cutoff 51 0.70942 0.78765 11.0% 38.4 30s
5996 2128 0.74880 32 129 0.70942 0.78002 10.0% 38.9 35s
7114 2384 0.72110 36 131 0.70942 0.77505 9.25% 39.6 40s
7982 2481 0.74249 38 147 0.70942 0.76971 8.50% 40.7 45s
8854 2609 cutoff 36 0.70942 0.76626 8.01% 41.9 50s
9705 2669 0.73474 47 135 0.70942 0.76339 7.61% 43.4 55s
H 9802 2678 0.7094195 0.76339 7.61% 43.7 55s
10589 2664 cutoff 46 0.70942 0.75952 7.06% 44.5 60s
11375 2646 cutoff 43 0.70942 0.75641 6.62% 45.8 66s
12043 2672 cutoff 43 0.70942 0.75467 6.38% 46.3 70s
13131 2709 0.73688 53 127 0.70942 0.75137 5.91% 46.9 76s
13920 2785 infeasible 49 0.70942 0.74993 5.71% 47.3 80s
15031 2881 0.73937 37 139 0.70942 0.74664 5.25% 47.5 86s
15444 2817 cutoff 50 0.70942 0.74570 5.11% 47.7 90s
16790 3017 infeasible 43 0.70942 0.74276 4.70% 47.4 96s
17700 3136 cutoff 39 0.70942 0.74178 4.56% 47.1 101s
18583 3292 0.72334 47 137 0.70942 0.74073 4.41% 46.8 105s
20085 3655 cutoff 64 0.70942 0.73925 4.20% 46.0 111s
21528 4018 0.73811 54 130 0.70942 0.73811 4.04% 45.3 133s
21942 4074 0.71568 63 105 0.70942 0.73717 3.91% 45.2 135s
22699 4205 0.71146 70 127 0.70942 0.73653 3.82% 45.2 140s
23426 4251 0.71573 58 126 0.70942 0.73593 3.74% 45.3 146s
24178 4274 0.71193 91 99 0.70942 0.73498 3.60% 45.5 150s
25469 4630 0.72934 57 128 0.70942 0.73401 3.47% 45.3 156s
26390 4838 cutoff 70 0.70942 0.73325 3.36% 45.0 160s
27601 5086 cutoff 66 0.70942 0.73277 3.29% 44.9 165s
29082 5491 infeasible 50 0.70942 0.73189 3.17% 44.3 171s
30073 5833 0.71979 86 83 0.70942 0.73145 3.11% 43.9 175s
31505 6304 0.72739 55 126 0.70942 0.73100 3.04% 43.3 181s
32581 6644 0.72286 46 155 0.70942 0.73065 2.99% 42.9 185s
33971 6981 0.72964 74 111 0.70942 0.73006 2.91% 42.6 191s
34953 7214 cutoff 81 0.70942 0.72979 2.87% 42.4 195s
36233 7536 0.71396 44 160 0.70942 0.72943 2.82% 42.2 200s
37452 7821 0.72284 63 121 0.70942 0.72902 2.76% 42.0 205s
38927 8304 0.72651 77 124 0.70942 0.72856 2.70% 41.7 210s
40014 8467 0.72528 56 134 0.70942 0.72819 2.65% 41.7 216s
40806 8624 0.71586 56 145 0.70942 0.72793 2.61% 41.6 220s
42157 8922 0.72688 62 127 0.70942 0.72770 2.58% 41.4 225s
43335 9076 0.72174 80 112 0.70942 0.72731 2.52% 41.3 231s
44038 9155 0.72396 76 122 0.70942 0.72710 2.49% 41.4 235s
45228 9296 0.71574 70 97 0.70942 0.72680 2.45% 41.3 240s
46543 9505 0.71645 51 133 0.70942 0.72655 2.42% 41.1 246s
47785 9624 cutoff 79 0.70942 0.72618 2.36% 41.1 251s
48583 9763 0.71390 75 88 0.70942 0.72602 2.34% 41.1 255s
49866 9962 0.71971 95 106 0.70942 0.72574 2.30% 40.9 260s
51090 10171 0.71774 62 96 0.70942 0.72549 2.27% 40.8 266s
52383 10509 cutoff 43 0.70942 0.72523 2.23% 40.6 271s
53449 10763 infeasible 97 0.70942 0.72505 2.20% 40.3 275s
54951 11086 0.71165 88 83 0.70942 0.72480 2.17% 40.1 281s
55704 11182 0.71952 48 152 0.70942 0.72459 2.14% 40.1 285s
57138 11467 0.71532 67 137 0.70942 0.72432 2.10% 39.9 291s
58032 11579 0.71022 76 105 0.70942 0.72417 2.08% 39.8 295s
58904 11657 0.71652 66 102 0.70942 0.72403 2.06% 39.8 301s
59864 11849 cutoff 72 0.70942 0.72389 2.04% 39.6 305s
61282 12102 0.72336 118 87 0.70942 0.72369 2.01% 39.4 310s
62664 12302 0.71993 83 117 0.70942 0.72350 1.98% 39.3 315s
63839 12423 cutoff 68 0.70942 0.72334 1.96% 39.2 321s
64690 12550 0.71055 80 102 0.70942 0.72320 1.94% 39.2 325s
65956 12597 0.71748 75 121 0.70942 0.72298 1.91% 39.2 330s
67363 12786 0.72160 76 109 0.70942 0.72277 1.88% 39.0 336s
68205 12841 0.71447 60 160 0.70942 0.72270 1.87% 39.0 340s
69474 12905 cutoff 62 0.70942 0.72244 1.84% 38.9 345s
70820 13064 0.71816 68 136 0.70942 0.72227 1.81% 38.9 351s
72297 13228 cutoff 98 0.70942 0.72209 1.79% 38.7 356s
73385 13393 0.71434 86 123 0.70942 0.72199 1.77% 38.6 360s
74746 13504 0.71683 98 98 0.70942 0.72181 1.75% 38.5 365s
75979 13602 0.71718 58 118 0.70942 0.72156 1.71% 38.5 371s
77415 13814 0.71610 67 132 0.70942 0.72137 1.68% 38.4 376s
78955 14022 0.71263 53 142 0.70942 0.72118 1.66% 38.2 381s
80365 14188 cutoff 59 0.70942 0.72104 1.64% 38.0 386s
80928 14280 cutoff 76 0.70942 0.72096 1.63% 38.0 390s
82521 14543 0.71258 82 119 0.70942 0.72082 1.61% 37.8 395s
83842 14702 infeasible 54 0.70942 0.72066 1.58% 37.7 401s
85313 14944 0.71367 76 113 0.70942 0.72048 1.56% 37.5 405s
86898 15158 0.71435 75 111 0.70942 0.72032 1.54% 37.3 411s
88400 15348 0.71993 80 117 0.70942 0.72015 1.51% 37.2 416s
89430 15474 0.71516 58 137 0.70942 0.72003 1.50% 37.1 420s
90912 15694 infeasible 82 0.70942 0.71989 1.48% 37.0 425s
92220 15762 cutoff 76 0.70942 0.71976 1.46% 36.9 430s
93471 15746 0.71435 62 144 0.70942 0.71959 1.43% 36.9 435s
94959 15924 cutoff 71 0.70942 0.71946 1.41% 36.8 440s
96239 15963 0.71589 72 105 0.70942 0.71931 1.39% 36.7 445s
97583 16069 0.71206 97 68 0.70942 0.71920 1.38% 36.6 450s
99232 16143 0.71900 100 81 0.70942 0.71900 1.35% 36.5 456s
99774 16216 0.70981 87 72 0.70942 0.71892 1.34% 36.4 460s
101111 16321 0.71357 97 109 0.70942 0.71879 1.32% 36.3 466s
102480 16424 cutoff 68 0.70942 0.71864 1.30% 36.2 471s
103721 16482 cutoff 57 0.70942 0.71850 1.28% 36.2 476s
105192 16684 0.71578 80 102 0.70942 0.71837 1.26% 36.1 481s
106561 16860 0.71648 102 73 0.70942 0.71822 1.24% 36.0 486s
108197 17089 infeasible 104 0.70942 0.71812 1.23% 35.8 490s
109666 17302 0.71660 62 115 0.70942 0.71800 1.21% 35.6 495s
111192 17507 infeasible 105 0.70942 0.71790 1.20% 35.5 500s
113136 17747 0.71010 111 67 0.70942 0.71774 1.17% 35.3 506s
114603 17881 infeasible 89 0.70942 0.71767 1.16% 35.2 511s
116102 18149 0.71426 51 140 0.70942 0.71756 1.15% 35.0 515s
117727 18438 0.71070 96 92 0.70942 0.71744 1.13% 34.8 520s
119548 18594 0.71070 106 72 0.70942 0.71733 1.11% 34.7 525s
120938 18795 infeasible 72 0.70942 0.71721 1.10% 34.6 530s
123031 19085 infeasible 52 0.70942 0.71709 1.08% 34.4 536s
124517 19269 cutoff 149 0.70942 0.71701 1.07% 34.3 540s
126730 19703 infeasible 97 0.70942 0.71689 1.05% 34.0 546s
128317 19932 0.71226 71 120 0.70942 0.71680 1.04% 33.8 552s
129788 20265 0.71325 58 151 0.70942 0.71672 1.03% 33.7 556s
131254 20517 cutoff 84 0.70942 0.71666 1.02% 33.5 560s
133284 20799 infeasible 147 0.70942 0.71653 1.00% 33.4 565s
Cutting planes:
Learned: 1
Gomory: 205
Cover: 3
Implied bound: 66
Projected implied bound: 30
MIR: 40
StrongCG: 2
Flow cover: 166
Inf proof: 460
Explored 133678 nodes (4456143 simplex iterations) in 565.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.709419 0.709419 0.709419
Optimal solution found (tolerance 1.00e-02)
Best objective 7.094194914987e-01, best bound 7.165005407595e-01, gap 0.9981%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyzxdatfa.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyqitoe_d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.705392
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 9.200971e-01, 1257 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92010 0 108 0.70539 0.92010 30.4% - 0s
0 0 0.87238 0 126 0.70539 0.87238 23.7% - 0s
0 0 0.87238 0 126 0.70539 0.87238 23.7% - 0s
0 0 0.85759 0 135 0.70539 0.85759 21.6% - 0s
0 0 0.85703 0 141 0.70539 0.85703 21.5% - 0s
0 0 0.85629 0 149 0.70539 0.85629 21.4% - 0s
0 0 0.85629 0 149 0.70539 0.85629 21.4% - 0s
0 0 0.85600 0 151 0.70539 0.85600 21.4% - 0s
0 0 0.85600 0 133 0.70539 0.85600 21.4% - 0s
0 2 0.85600 0 132 0.70539 0.85600 21.4% - 0s
784 577 0.81611 10 158 0.70539 0.81611 15.7% 27.1 5s
1208 637 0.73520 20 164 0.70539 0.81131 15.0% 36.5 10s
1889 684 0.78396 23 130 0.70539 0.79350 12.5% 42.2 15s
2473 716 cutoff 25 0.70539 0.78736 11.6% 42.0 20s
3460 959 0.73375 28 136 0.70539 0.77970 10.5% 43.2 25s
4308 1182 0.73756 33 126 0.70539 0.77572 10.0% 43.3 30s
5715 1612 cutoff 30 0.70539 0.77048 9.23% 41.5 35s
6244 1725 0.74583 34 128 0.70539 0.76818 8.90% 41.6 40s
7193 1885 0.73890 32 137 0.70539 0.76580 8.56% 41.4 45s
8590 2350 0.75976 31 127 0.70539 0.76361 8.25% 39.9 50s
9630 2624 0.71397 39 129 0.70539 0.76176 7.99% 39.6 55s
10858 2896 cutoff 29 0.70539 0.75957 7.68% 39.5 60s
12283 3372 cutoff 38 0.70539 0.75812 7.47% 38.6 65s
13301 3634 cutoff 33 0.70539 0.75681 7.29% 38.3 71s
14133 3882 0.73158 27 159 0.70539 0.75616 7.20% 38.1 75s
15317 4204 0.71802 28 152 0.70539 0.75502 7.04% 37.9 80s
16770 4669 0.73219 54 128 0.70539 0.75385 6.87% 37.5 86s
18349 5288 cutoff 43 0.70539 0.75255 6.69% 36.8 91s
19536 5584 0.70655 43 115 0.70539 0.75149 6.54% 36.8 96s
20371 5785 cutoff 36 0.70539 0.75097 6.46% 36.7 100s
20724 5866 0.72421 50 133 0.70539 0.75070 6.42% 36.8 122s
20732 5871 0.71895 53 190 0.70539 0.75070 6.42% 36.7 126s
20734 5873 0.72575 31 210 0.70539 0.75070 6.42% 36.7 130s
20741 5877 0.70595 64 236 0.70539 0.75070 6.42% 36.7 136s
20743 5879 0.74871 45 227 0.70539 0.75070 6.42% 36.7 140s
20747 5881 0.72033 39 238 0.70539 0.75070 6.42% 36.7 146s
20750 5883 0.72782 60 248 0.70539 0.75070 6.42% 36.7 150s
20756 5887 0.74621 45 256 0.70539 0.75070 6.42% 36.7 157s
20759 5889 0.73403 39 261 0.70539 0.75070 6.42% 36.7 160s
20763 5892 0.74918 44 252 0.70539 0.75070 6.42% 36.7 166s
20769 5896 0.73265 34 261 0.70539 0.75070 6.42% 36.7 170s
20773 5899 0.71426 61 255 0.70539 0.75070 6.42% 36.7 175s
20777 5901 0.73288 51 259 0.70539 0.75070 6.42% 36.7 181s
20781 5904 0.71948 40 266 0.70539 0.75070 6.42% 36.7 186s
20783 5905 0.74108 50 268 0.70539 0.75070 6.42% 36.7 190s
20787 5908 0.70926 105 261 0.70539 0.75070 6.42% 36.6 196s
20791 5911 0.72746 31 255 0.70539 0.75070 6.42% 36.6 200s
20796 5914 0.73435 43 276 0.70539 0.75070 6.42% 36.6 205s
20801 5917 0.71520 39 270 0.70539 0.75070 6.42% 36.6 210s
20805 5920 0.72045 92 255 0.70539 0.75070 6.42% 36.6 215s
20809 5923 0.72505 31 275 0.70539 0.75070 6.42% 36.6 220s
20814 5926 0.71502 56 280 0.70539 0.75070 6.42% 36.6 225s
20818 5929 0.74173 42 274 0.70539 0.75070 6.42% 36.6 230s
20823 5932 0.72893 29 275 0.70539 0.75070 6.42% 36.6 236s
20827 5935 0.73657 29 279 0.70539 0.75070 6.42% 36.6 240s
20832 5938 0.71895 53 270 0.70539 0.75070 6.42% 36.6 245s
20836 5941 0.73887 31 278 0.70539 0.75070 6.42% 36.6 250s
20839 5943 0.74577 35 276 0.70539 0.75070 6.42% 36.6 255s
20845 5947 0.72082 33 265 0.70539 0.75070 6.42% 36.5 260s
20850 5950 0.72782 60 278 0.70539 0.75070 6.42% 36.5 265s
20852 5951 0.73253 53 270 0.70539 0.75070 6.42% 36.5 270s
20854 5956 0.75070 20 250 0.70539 0.75070 6.42% 37.9 281s
20856 5958 0.75070 21 243 0.70539 0.75070 6.42% 37.9 288s
H20858 5657 0.7053921 0.75070 6.42% 37.9 288s
20860 5658 cutoff 22 0.70539 0.75070 6.42% 38.0 292s
20872 5664 0.72836 25 227 0.70539 0.75070 6.42% 38.2 295s
20905 5674 0.75070 28 254 0.70539 0.75070 6.42% 38.6 300s
21019 5705 0.75070 33 239 0.70539 0.75070 6.42% 39.2 305s
21274 5768 0.71594 69 158 0.70539 0.75070 6.42% 39.8 310s
21354 5781 0.75070 38 237 0.70539 0.75070 6.42% 40.4 315s
21525 5827 0.75070 31 260 0.70539 0.75070 6.42% 41.1 320s
21729 5878 0.72424 37 227 0.70539 0.75070 6.42% 42.3 326s
21974 5908 0.71181 59 163 0.70539 0.75070 6.42% 43.0 330s
22128 5942 0.71811 58 188 0.70539 0.75070 6.42% 43.5 335s
22358 5992 0.72196 51 148 0.70539 0.75070 6.42% 44.5 341s
22575 6018 0.71903 59 132 0.70539 0.75070 6.42% 45.1 346s
22763 6060 infeasible 34 0.70539 0.75070 6.42% 45.6 350s
22996 6105 0.73494 38 183 0.70539 0.75070 6.42% 46.6 356s
23162 6097 0.73440 43 187 0.70539 0.75070 6.42% 47.2 360s
23361 6101 infeasible 47 0.70539 0.75070 6.42% 48.2 366s
23454 6112 infeasible 43 0.70539 0.75070 6.42% 48.9 371s
23677 6107 0.71149 53 139 0.70539 0.75070 6.42% 49.7 376s
24012 6130 0.72293 37 215 0.70539 0.75070 6.42% 50.5 382s
24263 6138 cutoff 55 0.70539 0.75070 6.42% 51.5 387s
24415 6149 0.73463 32 220 0.70539 0.75070 6.42% 52.1 390s
24685 6155 0.74499 30 224 0.70539 0.75070 6.42% 53.3 397s
24798 6144 cutoff 42 0.70539 0.75070 6.42% 53.9 401s
25053 6169 0.74470 32 216 0.70539 0.75070 6.42% 54.9 408s
25212 6174 0.70769 44 169 0.70539 0.75070 6.42% 55.6 412s
25290 6171 0.73761 49 178 0.70539 0.75070 6.42% 56.2 416s
25405 6167 0.72121 49 198 0.70539 0.75070 6.42% 57.0 421s
25556 6160 0.71633 33 204 0.70539 0.75070 6.42% 57.6 426s
25705 6156 0.74217 31 231 0.70539 0.75039 6.38% 58.2 430s
25814 6131 0.72398 41 216 0.70539 0.75028 6.36% 59.2 435s
26006 6142 0.73710 39 195 0.70539 0.75002 6.33% 59.9 442s
26065 6147 0.71732 44 175 0.70539 0.75000 6.32% 59.9 447s
26255 6150 0.74398 29 225 0.70539 0.74974 6.29% 60.8 452s
26425 6138 0.74745 47 201 0.70539 0.74955 6.26% 61.6 458s
26619 6122 0.74499 35 219 0.70539 0.74913 6.20% 62.5 463s
26887 6187 0.72562 45 172 0.70539 0.74886 6.16% 63.2 468s
27034 6183 0.74688 44 215 0.70539 0.74866 6.13% 63.6 474s
27264 6176 cutoff 52 0.70539 0.74853 6.12% 64.5 480s
27496 6165 cutoff 40 0.70539 0.74822 6.07% 65.4 488s
27967 6284 0.71072 40 188 0.70539 0.74802 6.04% 65.8 494s
28135 6260 cutoff 49 0.70539 0.74784 6.02% 66.7 500s
28326 6219 0.72063 37 206 0.70539 0.74753 5.97% 67.8 507s
28584 6210 0.71494 45 184 0.70539 0.74722 5.93% 68.8 514s
28884 6242 0.72047 39 192 0.70539 0.74701 5.90% 69.7 520s
29174 6236 0.74681 39 225 0.70539 0.74683 5.87% 70.7 527s
29417 6209 cutoff 39 0.70539 0.74662 5.84% 71.9 535s
29681 6187 0.72490 47 170 0.70539 0.74631 5.80% 73.1 542s
29990 6187 cutoff 40 0.70539 0.74601 5.76% 74.3 550s
30198 6141 cutoff 44 0.70539 0.74576 5.72% 75.0 558s
30496 6096 0.73708 42 185 0.70539 0.74541 5.67% 76.4 567s
H30802 5800 0.7053921 0.74499 5.61% 77.1 567s
30865 5792 0.73102 33 241 0.70539 0.74498 5.61% 77.4 577s
31369 5786 cutoff 39 0.70539 0.74464 5.56% 78.8 587s
31589 5811 infeasible 40 0.70539 0.74451 5.55% 79.2 596s
31939 5766 0.71823 34 239 0.70539 0.74405 5.48% 81.0 600s
Cutting planes:
Gomory: 224
Cover: 7
Implied bound: 39
Projected implied bound: 59
MIR: 183
StrongCG: 1
Flow cover: 565
Inf proof: 81
Zero half: 2
Explored 32117 nodes (2623879 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.705392 0.705392 0.705392
Time limit reached
Best objective 7.053920861277e-01, best bound 7.439605045847e-01, gap 5.4677%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkiz691ez.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp05hy5z83.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.69916
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 9.068068e-01, 1350 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90681 0 110 0.69916 0.90681 29.7% - 0s
0 0 0.86546 0 129 0.69916 0.86546 23.8% - 0s
0 0 0.86546 0 129 0.69916 0.86546 23.8% - 0s
0 0 0.85785 0 139 0.69916 0.85785 22.7% - 0s
0 0 0.85779 0 141 0.69916 0.85779 22.7% - 0s
0 0 0.85621 0 153 0.69916 0.85621 22.5% - 0s
0 0 0.85615 0 152 0.69916 0.85615 22.5% - 0s
0 0 0.85607 0 153 0.69916 0.85607 22.4% - 0s
0 0 0.85606 0 153 0.69916 0.85606 22.4% - 0s
0 0 0.85601 0 153 0.69916 0.85601 22.4% - 0s
0 0 0.85601 0 145 0.69916 0.85601 22.4% - 0s
0 2 0.85601 0 141 0.69916 0.85601 22.4% - 0s
735 574 0.74271 60 153 0.69916 0.81136 16.0% 21.1 5s
1044 624 0.74642 23 180 0.69916 0.81136 16.0% 35.4 10s
1630 625 cutoff 28 0.69916 0.79733 14.0% 44.1 15s
2197 610 0.74875 31 163 0.69916 0.78841 12.8% 48.3 20s
2865 875 0.72915 30 148 0.69916 0.78466 12.2% 45.6 25s
3923 1333 0.76629 37 145 0.69916 0.77728 11.2% 43.5 30s
5027 1835 0.73276 44 137 0.69916 0.77139 10.3% 42.4 35s
6220 2318 0.72762 53 143 0.69916 0.76657 9.64% 41.0 40s
7064 2599 0.71602 43 146 0.69916 0.76331 9.17% 40.8 46s
7549 2713 cutoff 50 0.69916 0.76119 8.87% 40.9 50s
8845 3064 0.70102 77 109 0.69916 0.75877 8.53% 40.1 56s
9751 3330 0.72871 26 168 0.69916 0.75656 8.21% 40.1 61s
10615 3607 0.71222 40 136 0.69916 0.75536 8.04% 39.8 65s
11776 3897 0.71519 39 131 0.69916 0.75363 7.79% 39.8 71s
13119 4258 0.72727 38 160 0.69916 0.75147 7.48% 39.1 77s
13520 4284 0.73525 45 140 0.69916 0.75056 7.35% 39.2 81s
14340 4484 0.73607 46 137 0.69916 0.74938 7.18% 39.1 85s
15465 4714 0.74433 43 139 0.69916 0.74793 6.98% 38.9 90s
16615 4894 0.70770 56 135 0.69916 0.74626 6.74% 39.1 96s
17461 5085 0.71131 29 153 0.69916 0.74538 6.61% 38.9 100s
18643 5313 0.72650 50 143 0.69916 0.74445 6.48% 38.8 106s
19278 5405 0.70695 43 142 0.69916 0.74341 6.33% 39.1 110s
20462 5699 0.72310 49 138 0.69916 0.74188 6.11% 39.1 116s
21162 5816 0.71502 60 128 0.69916 0.74129 6.03% 39.2 138s
21767 5925 0.72353 56 138 0.69916 0.74073 5.94% 39.4 141s
22370 5978 infeasible 50 0.69916 0.74012 5.86% 39.8 145s
23202 6122 0.71795 64 148 0.69916 0.73952 5.77% 40.4 151s
23718 6183 0.72488 49 157 0.69916 0.73908 5.71% 41.0 155s
24529 6235 0.71273 52 137 0.69916 0.73844 5.62% 41.8 161s
25124 6315 0.73369 47 150 0.69916 0.73801 5.56% 42.3 166s
25805 6429 0.70978 47 146 0.69916 0.73747 5.48% 42.6 170s
26741 6512 cutoff 56 0.69916 0.73688 5.40% 43.2 176s
27431 6636 0.71913 49 158 0.69916 0.73657 5.35% 43.4 181s
28078 6713 0.70555 50 140 0.69916 0.73622 5.30% 43.8 186s
28752 6814 cutoff 53 0.69916 0.73568 5.22% 44.2 190s
29397 6932 0.71416 51 157 0.69916 0.73534 5.18% 44.6 196s
29783 6934 cutoff 51 0.69916 0.73514 5.15% 44.8 201s
30387 7038 0.70878 58 124 0.69916 0.73482 5.10% 45.3 206s
31064 7108 0.71272 52 141 0.69916 0.73428 5.02% 45.7 211s
31768 7231 0.71649 48 148 0.69916 0.73394 4.97% 46.0 216s
32560 7341 0.70734 41 148 0.69916 0.73361 4.93% 46.3 221s
33228 7474 0.70695 47 144 0.69916 0.73332 4.89% 46.7 226s
34030 7657 0.70629 53 137 0.69916 0.73301 4.84% 46.8 232s
34386 7728 0.71996 47 159 0.69916 0.73276 4.81% 47.0 235s
35130 7873 infeasible 61 0.69916 0.73234 4.75% 47.2 240s
35808 7897 cutoff 36 0.69916 0.73189 4.68% 47.7 245s
36546 7986 0.72784 58 146 0.69916 0.73160 4.64% 47.9 250s
37390 8200 0.73132 51 153 0.69916 0.73136 4.61% 48.0 255s
38181 8360 cutoff 42 0.69916 0.73097 4.55% 48.1 260s
39028 8513 0.71015 66 154 0.69916 0.73056 4.49% 48.3 266s
39871 8642 cutoff 59 0.69916 0.73021 4.44% 48.4 271s
40719 8822 0.70782 60 134 0.69916 0.72985 4.39% 48.4 276s
41564 8956 0.70300 59 139 0.69916 0.72955 4.35% 48.5 281s
41992 9044 cutoff 54 0.69916 0.72936 4.32% 48.6 285s
42381 9042 0.71075 43 140 0.69916 0.72922 4.30% 48.7 290s
43205 9137 0.72392 43 155 0.69916 0.72889 4.25% 48.8 295s
43973 9248 infeasible 50 0.69916 0.72843 4.19% 49.0 301s
44789 9343 infeasible 33 0.69916 0.72797 4.12% 49.2 306s
45591 9394 0.70580 50 150 0.69916 0.72763 4.07% 49.4 312s
46433 9439 infeasible 63 0.69916 0.72724 4.02% 49.6 317s
46858 9477 0.71116 50 152 0.69916 0.72708 3.99% 49.7 320s
47725 9589 0.71959 50 146 0.69916 0.72675 3.95% 49.7 325s
48571 9706 0.70037 89 107 0.69916 0.72652 3.91% 49.8 330s
49426 9730 cutoff 52 0.69916 0.72607 3.85% 49.9 336s
50231 9777 0.71443 54 148 0.69916 0.72565 3.79% 50.1 341s
51095 9856 0.70926 53 157 0.69916 0.72531 3.74% 50.1 346s
51879 9916 cutoff 60 0.69916 0.72503 3.70% 50.3 352s
52719 9978 0.70803 50 155 0.69916 0.72455 3.63% 50.3 357s
53150 9979 cutoff 44 0.69916 0.72421 3.58% 50.3 360s
53969 10033 0.72135 48 150 0.69916 0.72377 3.52% 50.4 365s
54804 10102 0.72054 34 185 0.69916 0.72337 3.46% 50.5 370s
55574 10088 0.71018 57 141 0.69916 0.72308 3.42% 50.6 376s
56429 10188 0.70467 59 135 0.69916 0.72273 3.37% 50.7 381s
56786 10103 cutoff 67 0.69916 0.72263 3.36% 50.8 387s
57563 10082 0.71585 50 150 0.69916 0.72218 3.29% 50.9 392s
58397 10059 cutoff 55 0.69916 0.72188 3.25% 51.0 397s
58813 10066 cutoff 31 0.69916 0.72170 3.22% 51.0 400s
59678 10052 cutoff 52 0.69916 0.72137 3.18% 51.1 405s
60500 10101 cutoff 61 0.69916 0.72103 3.13% 51.2 410s
61353 10153 cutoff 70 0.69916 0.72085 3.10% 51.2 416s
62127 10142 0.71760 41 150 0.69916 0.72046 3.05% 51.3 422s
62559 10154 0.70288 58 145 0.69916 0.72026 3.02% 51.3 425s
63460 10155 0.70674 56 146 0.69916 0.71990 2.97% 51.3 430s
64327 10150 0.71782 63 125 0.69916 0.71959 2.92% 51.3 436s
64773 10180 0.70813 51 143 0.69916 0.71958 2.92% 51.3 440s
65630 10221 cutoff 58 0.69916 0.71919 2.86% 51.4 445s
66517 10243 0.71873 51 159 0.69916 0.71891 2.82% 51.4 451s
67413 10285 infeasible 50 0.69916 0.71866 2.79% 51.4 456s
68315 10270 0.70431 52 144 0.69916 0.71838 2.75% 51.4 461s
69152 10270 0.71691 70 123 0.69916 0.71812 2.71% 51.5 466s
70010 10282 0.70998 44 154 0.69916 0.71787 2.68% 51.5 471s
70901 10321 0.70990 51 150 0.69916 0.71763 2.64% 51.5 477s
71847 10368 0.70857 58 134 0.69916 0.71738 2.61% 51.4 482s
72647 10324 0.70124 56 156 0.69916 0.71711 2.57% 51.5 487s
73103 10378 0.70616 44 142 0.69916 0.71701 2.55% 51.5 492s
73491 10284 0.71386 69 134 0.69916 0.71680 2.52% 51.5 497s
74305 10253 0.71572 51 146 0.69916 0.71658 2.49% 51.6 502s
74719 10237 0.70697 60 144 0.69916 0.71648 2.48% 51.6 505s
75556 10248 cutoff 45 0.69916 0.71624 2.44% 51.6 510s
76849 10264 0.71141 56 134 0.69916 0.71587 2.39% 51.6 517s
77688 10221 0.70223 62 150 0.69916 0.71558 2.35% 51.6 522s
78584 10186 0.69954 65 119 0.69916 0.71537 2.32% 51.6 527s
79015 10182 infeasible 53 0.69916 0.71522 2.30% 51.5 530s
80323 10172 0.70769 59 155 0.69916 0.71482 2.24% 51.5 537s
80761 10202 0.71445 64 157 0.69916 0.71472 2.23% 51.5 540s
82010 10219 0.71060 76 138 0.69916 0.71439 2.18% 51.4 547s
82825 10245 infeasible 96 0.69916 0.71412 2.14% 51.4 552s
83638 10215 cutoff 57 0.69916 0.71382 2.10% 51.4 557s
84218 10264 0.71341 61 160 0.69916 0.71372 2.08% 51.3 560s
85145 10303 cutoff 56 0.69916 0.71348 2.05% 51.2 565s
86001 10252 cutoff 60 0.69916 0.71322 2.01% 51.2 571s
86829 10191 0.70047 42 176 0.69916 0.71295 1.97% 51.2 575s
87690 10190 cutoff 49 0.69916 0.71275 1.94% 51.1 580s
88525 10197 0.70753 44 160 0.69916 0.71252 1.91% 51.0 585s
89596 10349 cutoff 69 0.69916 0.71230 1.88% 50.9 590s
90756 10381 0.70754 64 149 0.69916 0.71198 1.83% 50.8 596s
91262 10506 0.70108 50 146 0.69916 0.71187 1.82% 50.8 600s
Cutting planes:
Gomory: 199
Cover: 6
Implied bound: 60
Projected implied bound: 26
MIR: 40
StrongCG: 2
Flow cover: 161
Inf proof: 324
Explored 91506 nodes (4642306 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.69916
Time limit reached
Best objective 6.991604195293e-01, best bound 7.118496588906e-01, gap 1.8149%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxxvj_uzt.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmposz3qkvs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.693864
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.983247e-01, 1341 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89832 0 112 0.69386 0.89832 29.5% - 0s
0 0 0.85654 0 137 0.69386 0.85654 23.4% - 0s
0 0 0.85654 0 137 0.69386 0.85654 23.4% - 0s
0 0 0.84261 0 148 0.69386 0.84261 21.4% - 0s
0 0 0.84250 0 147 0.69386 0.84250 21.4% - 0s
0 0 0.84132 0 159 0.69386 0.84132 21.3% - 0s
0 0 0.84103 0 157 0.69386 0.84103 21.2% - 0s
0 0 0.84100 0 162 0.69386 0.84100 21.2% - 0s
0 0 0.84100 0 161 0.69386 0.84100 21.2% - 0s
0 0 0.84091 0 159 0.69386 0.84091 21.2% - 0s
0 0 0.84091 0 138 0.69386 0.84091 21.2% - 0s
0 2 0.84091 0 138 0.69386 0.84091 21.2% - 0s
783 573 0.80269 11 159 0.69386 0.80269 15.7% 23.2 5s
1174 638 infeasible 21 0.69386 0.80269 15.7% 31.9 10s
1685 633 0.70869 44 144 0.69386 0.79197 14.1% 39.5 15s
2563 619 0.72912 29 148 0.69386 0.77976 12.4% 45.5 20s
3428 767 0.76363 29 155 0.69386 0.77107 11.1% 46.3 25s
4568 1174 cutoff 28 0.69386 0.76429 10.2% 43.6 30s
H 4579 1176 0.6938639 0.76429 10.2% 43.7 30s
5674 1488 0.74153 29 146 0.69386 0.75966 9.48% 42.5 35s
6457 1672 infeasible 37 0.69386 0.75615 8.98% 42.3 40s
7165 1847 0.72826 28 147 0.69386 0.75403 8.67% 42.3 45s
7891 2036 0.70216 55 141 0.69386 0.75171 8.34% 42.6 50s
9343 2434 0.73135 32 165 0.69386 0.74857 7.88% 41.9 56s
10216 2681 0.71579 32 158 0.69386 0.74732 7.70% 41.4 60s
11321 2989 0.71354 44 137 0.69386 0.74553 7.45% 41.3 65s
11745 3094 0.72440 27 147 0.69386 0.74506 7.38% 41.2 70s
12819 3342 0.70960 27 149 0.69386 0.74376 7.19% 41.5 76s
13516 3444 cutoff 40 0.69386 0.74263 7.03% 41.8 80s
14541 3674 0.72686 29 169 0.69386 0.74137 6.85% 41.9 86s
15355 3877 0.72229 48 144 0.69386 0.74069 6.75% 41.8 91s
16459 4269 0.70437 50 135 0.69386 0.73952 6.58% 41.3 95s
17606 4560 0.71009 48 139 0.69386 0.73877 6.47% 41.0 101s
H17615 4562 0.6938639 0.73877 6.47% 41.0 101s
H17620 4564 0.6938639 0.73877 6.47% 41.0 101s
18020 4672 cutoff 40 0.69386 0.73825 6.40% 40.9 105s
19214 5044 0.70201 53 137 0.69386 0.73742 6.28% 40.7 111s
20156 5314 cutoff 46 0.69386 0.73666 6.17% 40.6 115s
20505 5415 0.72578 53 128 0.69386 0.73652 6.15% 40.5 135s
21923 5905 0.73070 36 163 0.69386 0.73563 6.02% 40.4 141s
22440 6047 0.70862 46 157 0.69386 0.73525 5.96% 40.8 145s
23296 6242 0.71280 49 146 0.69386 0.73475 5.89% 41.4 151s
23510 6283 cutoff 45 0.69386 0.73450 5.86% 41.8 155s
23996 6345 0.72845 47 154 0.69386 0.73424 5.82% 42.4 161s
24491 6446 0.69420 51 144 0.69386 0.73397 5.78% 42.8 165s
25306 6610 0.71193 50 158 0.69386 0.73358 5.72% 43.4 171s
25818 6694 0.70818 52 133 0.69386 0.73323 5.67% 43.9 176s
26375 6808 0.69667 33 154 0.69386 0.73300 5.64% 44.3 181s
27053 6922 0.72569 37 181 0.69386 0.73248 5.57% 44.8 185s
27925 7105 cutoff 35 0.69386 0.73188 5.48% 45.5 192s
28538 7192 0.70900 57 137 0.69386 0.73150 5.42% 45.9 196s
29117 7283 0.70454 54 154 0.69386 0.73112 5.37% 46.4 202s
29807 7400 cutoff 58 0.69386 0.73078 5.32% 46.7 206s
30466 7551 0.69789 72 131 0.69386 0.73035 5.26% 47.0 211s
31307 7711 0.72498 47 155 0.69386 0.72998 5.21% 47.3 216s
32044 7879 0.69608 69 109 0.69386 0.72967 5.16% 47.4 222s
32878 8052 0.70696 37 172 0.69386 0.72933 5.11% 47.7 227s
33457 8125 0.71041 40 172 0.69386 0.72907 5.07% 48.0 232s
33760 8175 0.71203 53 156 0.69386 0.72896 5.06% 48.2 235s
34445 8309 cutoff 42 0.69386 0.72874 5.03% 48.5 240s
35483 8701 0.69961 46 167 0.69386 0.72853 5.00% 48.4 245s
36257 8864 0.69862 71 119 0.69386 0.72833 4.97% 48.5 250s
37104 9077 0.70527 51 145 0.69386 0.72803 4.92% 48.7 255s
37903 9251 cutoff 56 0.69386 0.72772 4.88% 48.9 261s
38551 9350 0.70324 54 124 0.69386 0.72751 4.85% 49.1 266s
39244 9475 0.71439 51 151 0.69386 0.72723 4.81% 49.4 272s
40242 9776 0.70471 40 166 0.69386 0.72698 4.77% 49.4 277s
40619 9844 cutoff 54 0.69386 0.72688 4.76% 49.4 280s
41335 9990 0.70851 54 170 0.69386 0.72664 4.72% 49.6 286s
42349 10202 0.71242 38 162 0.69386 0.72635 4.68% 49.6 291s
43076 10307 0.69436 63 141 0.69386 0.72613 4.65% 49.8 296s
43779 10395 0.72001 66 151 0.69386 0.72593 4.62% 50.0 302s
44142 10444 cutoff 59 0.69386 0.72583 4.61% 50.1 305s
45037 10622 0.71014 50 157 0.69386 0.72560 4.57% 50.1 310s
45841 10800 0.71624 53 150 0.69386 0.72537 4.54% 50.2 316s
46775 11010 0.71540 38 173 0.69386 0.72520 4.52% 50.2 321s
47438 11130 0.70557 52 151 0.69386 0.72501 4.49% 50.4 327s
47830 11189 0.69866 44 161 0.69386 0.72490 4.47% 50.4 330s
48707 11363 0.69540 50 137 0.69386 0.72468 4.44% 50.5 335s
49495 11486 0.71564 54 166 0.69386 0.72445 4.41% 50.6 341s
50248 11579 0.71452 50 167 0.69386 0.72423 4.38% 50.7 347s
50605 11641 0.72130 49 167 0.69386 0.72411 4.36% 50.8 350s
51421 11803 0.69698 57 152 0.69386 0.72390 4.33% 50.9 356s
52161 11934 infeasible 51 0.69386 0.72370 4.30% 51.0 362s
52567 12013 infeasible 61 0.69386 0.72362 4.29% 51.1 365s
53535 12227 0.71636 36 184 0.69386 0.72338 4.25% 51.0 372s
53961 12313 0.71724 51 159 0.69386 0.72332 4.24% 51.0 375s
54784 12440 cutoff 61 0.69386 0.72315 4.22% 51.1 380s
55570 12541 0.70982 51 139 0.69386 0.72298 4.20% 51.2 386s
56387 12678 0.69708 65 113 0.69386 0.72278 4.17% 51.3 391s
57136 12765 cutoff 29 0.69386 0.72257 4.14% 51.4 397s
57549 12812 0.69787 43 140 0.69386 0.72245 4.12% 51.4 400s
58311 12907 0.71748 46 156 0.69386 0.72223 4.09% 51.5 406s
58784 12962 cutoff 65 0.69386 0.72215 4.08% 51.5 412s
59202 13043 0.70382 58 132 0.69386 0.72203 4.06% 51.5 415s
60081 13165 cutoff 37 0.69386 0.72182 4.03% 51.6 421s
H60905 13265 0.6938639 0.72164 4.00% 51.7 427s
61289 13307 cutoff 52 0.69386 0.72152 3.99% 51.7 430s
62017 13379 0.71202 45 157 0.69386 0.72132 3.96% 51.8 435s
62834 13504 0.69618 68 136 0.69386 0.72114 3.93% 51.9 441s
63624 13551 cutoff 59 0.69386 0.72098 3.91% 51.9 447s
64032 13640 0.69835 58 118 0.69386 0.72086 3.89% 52.0 451s
64476 13604 infeasible 54 0.69386 0.72069 3.87% 52.0 458s
64952 13655 0.70033 57 159 0.69386 0.72059 3.85% 52.1 461s
65823 13715 0.71092 58 145 0.69386 0.72040 3.82% 52.2 467s
66285 13789 0.70373 45 159 0.69386 0.72028 3.81% 52.2 470s
67113 13818 0.70021 47 167 0.69386 0.72010 3.78% 52.3 476s
67555 13845 cutoff 55 0.69386 0.71995 3.76% 52.3 480s
68374 13862 0.70665 57 157 0.69386 0.71976 3.73% 52.5 486s
69185 13866 0.71030 72 136 0.69386 0.71959 3.71% 52.6 492s
69587 13885 0.71631 43 166 0.69386 0.71946 3.69% 52.7 495s
70390 13909 0.69806 59 145 0.69386 0.71925 3.66% 52.7 501s
71243 13945 cutoff 62 0.69386 0.71904 3.63% 52.9 507s
71629 13947 0.70807 41 159 0.69386 0.71890 3.61% 52.9 510s
72524 13973 0.69473 62 131 0.69386 0.71867 3.58% 53.0 516s
73364 14010 0.71176 31 183 0.69386 0.71843 3.54% 53.1 522s
73778 14047 0.69405 60 132 0.69386 0.71838 3.53% 53.2 525s
74516 14072 cutoff 51 0.69386 0.71820 3.51% 53.2 531s
74910 14056 0.70360 56 150 0.69386 0.71810 3.49% 53.3 535s
75759 14065 0.71250 38 176 0.69386 0.71786 3.46% 53.5 541s
76536 14081 0.70314 42 158 0.69386 0.71764 3.43% 53.6 547s
77031 14088 0.70180 45 147 0.69386 0.71753 3.41% 53.6 550s
77853 14118 cutoff 47 0.69386 0.71733 3.38% 53.7 556s
78669 14152 0.71326 46 159 0.69386 0.71717 3.36% 53.8 562s
79073 14129 0.71106 49 156 0.69386 0.71703 3.34% 53.8 565s
79933 14133 cutoff 54 0.69386 0.71685 3.31% 53.9 571s
80695 14102 0.70226 54 140 0.69386 0.71664 3.28% 54.1 577s
81132 14096 0.70390 46 196 0.69386 0.71654 3.27% 54.1 580s
81917 14079 0.69878 47 153 0.69386 0.71635 3.24% 54.2 587s
82352 14073 0.71052 62 148 0.69386 0.71625 3.23% 54.3 590s
83183 14049 0.70374 63 139 0.69386 0.71601 3.19% 54.4 596s
84083 14163 0.71488 45 158 0.69386 0.71581 3.16% 54.5 600s
Cutting planes:
Gomory: 192
Cover: 3
Implied bound: 59
Projected implied bound: 32
Clique: 1
MIR: 39
Flow cover: 135
Inf proof: 293
Explored 84147 nodes (4586539 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.693864 0.693864 0.693864 ... 0.693864
Time limit reached
Best objective 6.938639087699e-01, best bound 7.158115955332e-01, gap 3.1631%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6c15nv2a.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplk41ibpn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.685865
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 8.831287e-01, 1353 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88313 0 114 0.68587 0.88313 28.8% - 0s
0 0 0.84667 0 130 0.68587 0.84667 23.4% - 0s
0 0 0.84667 0 131 0.68587 0.84667 23.4% - 0s
0 0 0.83994 0 152 0.68587 0.83994 22.5% - 0s
0 0 0.83992 0 146 0.68587 0.83992 22.5% - 0s
0 0 0.83896 0 157 0.68587 0.83896 22.3% - 0s
0 0 0.83891 0 152 0.68587 0.83891 22.3% - 0s
0 0 0.83867 0 156 0.68587 0.83867 22.3% - 0s
0 0 0.83866 0 157 0.68587 0.83866 22.3% - 0s
0 0 0.83860 0 156 0.68587 0.83860 22.3% - 0s
0 0 0.83860 0 151 0.68587 0.83860 22.3% - 0s
0 2 0.83860 0 149 0.68587 0.83860 22.3% - 0s
770 581 0.70239 62 160 0.68587 0.79699 16.2% 25.2 5s
997 610 0.75626 42 146 0.68587 0.79699 16.2% 35.9 10s
2184 996 cutoff 73 0.68587 0.78074 13.8% 33.3 15s
3017 1203 0.70895 38 146 0.68587 0.77484 13.0% 37.8 20s
3778 1517 0.72782 25 139 0.68587 0.76970 12.2% 38.5 25s
4575 1722 cutoff 82 0.68587 0.76661 11.8% 40.5 30s
5279 1906 0.70023 46 118 0.68587 0.76384 11.4% 42.0 35s
6254 2141 0.70078 41 149 0.68587 0.76109 11.0% 42.8 40s
7057 2310 cutoff 33 0.68587 0.75857 10.6% 44.0 45s
7819 2440 0.71397 30 161 0.68587 0.75623 10.3% 45.3 50s
8366 2576 0.70809 38 151 0.68587 0.75528 10.1% 45.3 55s
9224 2708 cutoff 33 0.68587 0.75330 9.83% 46.0 60s
10085 2851 0.72798 31 156 0.68587 0.75186 9.62% 46.8 65s
11373 3181 cutoff 35 0.68587 0.74953 9.28% 46.6 71s
12174 3369 0.74403 39 147 0.68587 0.74840 9.12% 46.8 75s
12946 3512 0.69720 38 140 0.68587 0.74709 8.93% 47.2 80s
13313 3544 0.70803 32 149 0.68587 0.74636 8.82% 47.4 85s
14409 3700 0.69782 36 136 0.68587 0.74476 8.59% 47.8 91s
15248 3862 cutoff 31 0.68587 0.74333 8.38% 47.7 95s
16572 4076 cutoff 46 0.68587 0.74156 8.12% 47.7 101s
17409 4216 cutoff 32 0.68587 0.74054 7.97% 47.4 106s
18390 4481 cutoff 53 0.68587 0.73932 7.79% 46.9 110s
19855 4873 0.70328 43 147 0.68587 0.73800 7.60% 46.3 116s
20934 5187 cutoff 42 0.68587 0.73706 7.46% 45.7 137s
21923 5472 0.72640 34 169 0.68587 0.73628 7.35% 45.4 142s
22656 5632 cutoff 49 0.68587 0.73569 7.26% 45.4 146s
23444 5777 cutoff 41 0.68587 0.73523 7.20% 45.5 150s
24463 5996 0.71130 35 174 0.68587 0.73447 7.09% 45.4 155s
25446 6236 cutoff 35 0.68587 0.73390 7.00% 45.4 161s
26244 6385 0.71580 32 163 0.68587 0.73350 6.95% 45.3 165s
27163 6527 0.72619 47 170 0.68587 0.73280 6.84% 45.5 171s
27930 6668 0.70244 49 144 0.68587 0.73231 6.77% 45.4 175s
29148 6908 cutoff 59 0.68587 0.73156 6.66% 45.4 181s
29700 6974 cutoff 33 0.68587 0.73117 6.61% 45.7 185s
30738 7179 infeasible 51 0.68587 0.73052 6.51% 45.9 191s
31420 7352 0.69691 57 127 0.68587 0.73006 6.44% 46.0 196s
31751 7420 cutoff 67 0.68587 0.72990 6.42% 46.0 200s
32736 7669 cutoff 44 0.68587 0.72933 6.34% 46.2 207s
33285 7760 0.70680 47 141 0.68587 0.72899 6.29% 46.5 211s
33926 7864 0.71185 42 157 0.68587 0.72864 6.24% 46.7 216s
34612 7962 cutoff 55 0.68587 0.72832 6.19% 46.8 220s
35223 8041 0.69319 34 170 0.68587 0.72797 6.14% 47.1 225s
36140 8209 cutoff 50 0.68587 0.72754 6.08% 47.4 232s
36446 8251 0.69233 54 140 0.68587 0.72744 6.06% 47.5 235s
37525 8500 0.69262 100 82 0.68587 0.72709 6.01% 47.6 242s
38216 8620 0.70009 54 146 0.68587 0.72682 5.97% 47.8 246s
38863 8694 cutoff 48 0.68587 0.72646 5.92% 48.1 251s
39521 8818 0.70463 48 160 0.68587 0.72615 5.87% 48.4 256s
40297 8997 0.69449 54 149 0.68587 0.72589 5.84% 48.4 261s
41057 9110 0.69960 54 159 0.68587 0.72550 5.78% 48.6 266s
41719 9203 0.69631 39 161 0.68587 0.72520 5.73% 48.8 271s
42460 9330 0.70158 47 137 0.68587 0.72483 5.68% 49.0 276s
43253 9485 0.70123 53 127 0.68587 0.72447 5.63% 49.0 281s
44001 9606 cutoff 55 0.68587 0.72420 5.59% 49.2 287s
44404 9718 0.70116 67 140 0.68587 0.72408 5.57% 49.3 291s
44891 9791 0.70752 44 147 0.68587 0.72392 5.55% 49.3 296s
45647 9920 0.70670 46 167 0.68587 0.72353 5.49% 49.4 301s
46443 10090 0.69808 64 140 0.68587 0.72333 5.46% 49.5 307s
46829 10188 0.70045 68 145 0.68587 0.72321 5.45% 49.6 310s
47643 10366 0.68985 55 139 0.68587 0.72295 5.41% 49.6 315s
48340 10491 0.69794 51 155 0.68587 0.72270 5.37% 49.8 320s
49034 10579 cutoff 45 0.68587 0.72241 5.33% 49.9 325s
49809 10700 cutoff 43 0.68587 0.72220 5.30% 50.1 331s
50546 10848 cutoff 45 0.68587 0.72196 5.26% 50.2 336s
51278 10957 cutoff 45 0.68587 0.72172 5.23% 50.3 341s
52031 11034 0.68883 55 142 0.68587 0.72146 5.19% 50.5 346s
52786 11167 0.69957 40 158 0.68587 0.72133 5.17% 50.6 352s
53190 11239 0.70099 53 163 0.68587 0.72111 5.14% 50.6 355s
53940 11329 0.69111 55 133 0.68587 0.72080 5.09% 50.8 361s
54723 11458 cutoff 39 0.68587 0.72057 5.06% 51.0 367s
55098 11507 0.71276 50 146 0.68587 0.72051 5.05% 51.0 370s
55964 11699 0.70689 45 143 0.68587 0.72028 5.02% 51.0 376s
56851 11861 0.71040 53 152 0.68587 0.72004 4.98% 51.0 382s
57524 11945 0.68870 38 166 0.68587 0.71985 4.96% 51.2 388s
57899 11981 cutoff 76 0.68587 0.71970 4.93% 51.4 390s
58675 12063 cutoff 57 0.68587 0.71951 4.91% 51.5 396s
59068 12145 0.70544 61 125 0.68587 0.71942 4.89% 51.5 400s
59544 12211 0.70659 56 124 0.68587 0.71932 4.88% 51.5 406s
60337 12374 0.70196 53 160 0.68587 0.71907 4.84% 51.6 412s
60736 12421 0.70864 57 147 0.68587 0.71902 4.83% 51.7 415s
61615 12562 0.71142 55 135 0.68587 0.71884 4.81% 51.7 422s
62457 12670 0.69235 58 126 0.68587 0.71867 4.78% 51.8 428s
62910 12796 cutoff 56 0.68587 0.71857 4.77% 51.8 431s
63759 12940 0.70778 45 142 0.68587 0.71841 4.75% 51.8 437s
64173 12992 0.69611 51 143 0.68587 0.71832 4.73% 51.9 440s
65061 13170 0.71113 50 150 0.68587 0.71812 4.70% 51.9 446s
65759 13252 0.70962 59 136 0.68587 0.71791 4.67% 52.0 452s
66142 13305 0.70874 51 137 0.68587 0.71779 4.65% 52.0 455s
66969 13442 cutoff 68 0.68587 0.71761 4.63% 52.1 461s
67787 13554 0.70327 47 166 0.68587 0.71742 4.60% 52.2 467s
68188 13627 0.69929 46 165 0.68587 0.71736 4.59% 52.2 470s
69070 13728 0.69408 67 150 0.68587 0.71716 4.56% 52.2 475s
69922 13822 cutoff 42 0.68587 0.71698 4.54% 52.3 481s
70842 14007 cutoff 41 0.68587 0.71682 4.51% 52.3 487s
71237 14038 0.69142 68 132 0.68587 0.71671 4.50% 52.4 490s
72070 14162 0.70889 46 185 0.68587 0.71651 4.47% 52.4 496s
72955 14343 cutoff 61 0.68587 0.71632 4.44% 52.4 502s
73356 14404 0.70335 54 152 0.68587 0.71625 4.43% 52.4 506s
73816 14505 cutoff 36 0.68587 0.71615 4.42% 52.4 510s
74278 14536 0.69914 52 154 0.68587 0.71608 4.40% 52.4 516s
75168 14718 cutoff 53 0.68587 0.71593 4.38% 52.4 522s
75525 14747 0.70185 49 140 0.68587 0.71586 4.37% 52.5 525s
76330 14832 cutoff 33 0.68587 0.71566 4.34% 52.6 532s
76707 14881 cutoff 62 0.68587 0.71559 4.33% 52.6 535s
77585 15038 cutoff 60 0.68587 0.71542 4.31% 52.6 541s
78508 15177 cutoff 51 0.68587 0.71527 4.29% 52.6 547s
78974 15246 cutoff 60 0.68587 0.71518 4.27% 52.6 550s
79821 15348 0.68709 69 133 0.68587 0.71505 4.25% 52.6 555s
80693 15541 0.70387 53 145 0.68587 0.71491 4.23% 52.6 562s
81087 15585 0.68896 50 135 0.68587 0.71484 4.22% 52.7 565s
81955 15681 0.70630 41 177 0.68587 0.71466 4.20% 52.7 571s
82747 15758 cutoff 44 0.68587 0.71450 4.18% 52.8 577s
83146 15804 0.70701 47 159 0.68587 0.71443 4.16% 52.9 580s
83999 15948 0.71405 48 165 0.68587 0.71425 4.14% 52.9 587s
84213 15943 0.69172 72 116 0.68587 0.71423 4.14% 52.9 590s
85047 16035 0.69640 52 154 0.68587 0.71412 4.12% 53.0 596s
85464 16075 0.69089 53 138 0.68587 0.71404 4.11% 53.0 600s
Cutting planes:
Gomory: 166
Cover: 2
Implied bound: 55
Projected implied bound: 28
MIR: 45
Flow cover: 134
Inf proof: 273
Explored 85906 nodes (4560407 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.685865
Time limit reached
Best objective 6.858652217462e-01, best bound 7.139898146888e-01, gap 4.1006%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbl_l08xm.pyomo.lp
Reading time = 0.01 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_m47ygzi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.679927
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 8.757813e-01, 1332 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87578 0 117 0.67993 0.87578 28.8% - 0s
0 0 0.84070 0 134 0.67993 0.84070 23.6% - 0s
0 0 0.84070 0 134 0.67993 0.84070 23.6% - 0s
0 0 0.83420 0 155 0.67993 0.83420 22.7% - 0s
0 0 0.83412 0 157 0.67993 0.83412 22.7% - 0s
0 0 0.83306 0 166 0.67993 0.83306 22.5% - 0s
0 0 0.83306 0 162 0.67993 0.83306 22.5% - 0s
0 0 0.83270 0 165 0.67993 0.83270 22.5% - 0s
0 0 0.83268 0 164 0.67993 0.83268 22.5% - 0s
0 0 0.83267 0 162 0.67993 0.83267 22.5% - 0s
0 0 0.83267 0 156 0.67993 0.83267 22.5% - 0s
0 2 0.83267 0 156 0.67993 0.83267 22.5% - 0s
737 555 0.78749 6 153 0.67993 0.78749 15.8% 21.5 5s
1069 654 0.75318 32 136 0.67993 0.78749 15.8% 31.0 10s
2051 876 cutoff 23 0.67993 0.77321 13.7% 33.3 15s
2963 1282 infeasible 69 0.67993 0.76680 12.8% 34.8 20s
4013 1736 0.74523 26 150 0.67993 0.75802 11.5% 37.1 25s
4823 1973 0.74505 34 133 0.67993 0.75257 10.7% 38.7 30s
5351 2060 0.73218 25 152 0.67993 0.75024 10.3% 39.1 35s
6190 2168 0.68450 31 135 0.67993 0.74595 9.71% 39.9 41s
7050 2305 0.70388 31 152 0.67993 0.74267 9.23% 40.2 46s
7810 2426 0.72087 34 151 0.67993 0.74020 8.86% 40.5 50s
8860 2742 0.70837 30 147 0.67993 0.73872 8.65% 40.7 56s
9478 2914 0.68116 42 130 0.67993 0.73681 8.37% 41.0 60s
10153 3043 cutoff 38 0.67993 0.73540 8.16% 41.2 65s
10900 3237 cutoff 35 0.67993 0.73388 7.94% 41.3 70s
12190 3653 0.69414 32 154 0.67993 0.73261 7.75% 41.0 76s
12942 3823 0.68653 50 142 0.67993 0.73131 7.56% 41.2 80s
H12948 3823 0.6799274 0.73131 7.56% 41.2 80s
13836 4007 0.68167 38 152 0.67993 0.73064 7.46% 41.2 86s
14518 4151 infeasible 55 0.67993 0.72980 7.34% 41.4 91s
15322 4425 0.68672 56 142 0.67993 0.72912 7.24% 41.1 95s
16132 4692 0.72574 47 131 0.67993 0.72883 7.19% 40.9 100s
16877 4885 infeasible 30 0.67993 0.72808 7.08% 41.0 105s
17647 5083 0.70610 43 137 0.67993 0.72742 6.99% 41.1 110s
19189 5564 0.69155 51 133 0.67993 0.72644 6.84% 40.6 116s
19924 5677 0.68628 51 141 0.67993 0.72585 6.75% 40.7 121s
20681 5903 0.68026 42 148 0.67993 0.72537 6.68% 40.7 125s
21373 6085 cutoff 38 0.67993 0.72497 6.63% 40.5 145s
22441 6357 0.69842 42 153 0.67993 0.72417 6.51% 40.6 151s
23037 6548 0.71529 52 143 0.67993 0.72382 6.46% 40.9 156s
23634 6657 0.69980 52 165 0.67993 0.72344 6.40% 41.4 160s
24583 6840 0.69549 48 141 0.67993 0.72287 6.32% 41.9 166s
25204 6990 0.70962 53 138 0.67993 0.72255 6.27% 42.2 170s
25902 7125 0.68989 52 134 0.67993 0.72210 6.20% 42.4 175s
26784 7281 0.69205 69 129 0.67993 0.72143 6.10% 43.0 181s
27477 7451 0.69357 40 158 0.67993 0.72099 6.04% 43.3 186s
28121 7594 0.70423 56 133 0.67993 0.72068 5.99% 43.6 191s
28731 7723 0.70754 52 157 0.67993 0.72032 5.94% 44.0 195s
29338 7832 0.68140 65 130 0.67993 0.71983 5.87% 44.5 200s
30035 7962 0.71017 46 150 0.67993 0.71928 5.79% 44.7 205s
30717 8093 cutoff 27 0.67993 0.71895 5.74% 45.1 210s
31268 8135 0.68664 48 145 0.67993 0.71858 5.68% 45.6 215s
31896 8273 0.70096 44 181 0.67993 0.71818 5.63% 45.9 220s
32556 8414 0.69816 24 159 0.67993 0.71766 5.55% 46.3 225s
33306 8554 0.68347 61 138 0.67993 0.71731 5.50% 46.6 230s
34001 8648 0.69007 68 142 0.67993 0.71682 5.43% 46.9 235s
34642 8702 0.70080 55 137 0.67993 0.71631 5.35% 47.3 241s
35288 8783 0.68407 39 168 0.67993 0.71593 5.29% 47.7 246s
35986 8877 0.71063 57 149 0.67993 0.71562 5.25% 47.9 252s
36355 8935 cutoff 68 0.67993 0.71550 5.23% 48.0 255s
37184 9133 0.70069 36 181 0.67993 0.71509 5.17% 48.3 261s
37912 9256 0.70209 43 149 0.67993 0.71467 5.11% 48.6 268s
38203 9304 cutoff 60 0.67993 0.71463 5.10% 48.7 271s
38925 9417 0.68073 69 114 0.67993 0.71422 5.04% 49.0 277s
39308 9493 cutoff 54 0.67993 0.71402 5.01% 49.2 280s
40123 9632 0.70164 49 150 0.67993 0.71371 4.97% 49.4 285s
40883 9728 0.70895 62 125 0.67993 0.71336 4.92% 49.6 291s
41679 9895 0.69305 44 167 0.67993 0.71312 4.88% 49.8 297s
42029 9934 0.68230 58 161 0.67993 0.71291 4.85% 50.0 300s
42823 10018 cutoff 39 0.67993 0.71258 4.80% 50.3 306s
43634 10160 cutoff 63 0.67993 0.71220 4.75% 50.5 312s
44031 10241 0.69428 80 119 0.67993 0.71211 4.73% 50.7 315s
44878 10401 cutoff 63 0.67993 0.71178 4.68% 50.8 320s
45769 10552 0.69438 27 167 0.67993 0.71131 4.62% 50.9 326s
46566 10693 0.69994 40 189 0.67993 0.71104 4.58% 51.1 332s
46985 10785 cutoff 53 0.67993 0.71087 4.55% 51.2 335s
47666 10869 0.69115 40 164 0.67993 0.71065 4.52% 51.4 341s
48542 11012 cutoff 50 0.67993 0.71040 4.48% 51.5 347s
48966 11056 0.69686 44 168 0.67993 0.71025 4.46% 51.6 350s
49845 11225 cutoff 53 0.67993 0.70993 4.41% 51.6 356s
50249 11292 cutoff 57 0.67993 0.70974 4.38% 51.7 362s
50524 11294 0.68961 55 157 0.67993 0.70959 4.36% 51.8 365s
51471 11439 cutoff 25 0.67993 0.70941 4.34% 51.8 371s
52304 11564 0.69985 60 142 0.67993 0.70911 4.29% 52.0 377s
52745 11661 0.70483 54 152 0.67993 0.70888 4.26% 52.0 380s
53575 11765 0.68068 63 142 0.67993 0.70862 4.22% 52.1 386s
54367 11862 0.69103 71 123 0.67993 0.70823 4.16% 52.4 392s
54812 11911 cutoff 83 0.67993 0.70813 4.15% 52.4 395s
55673 11979 cutoff 54 0.67993 0.70779 4.10% 52.6 400s
56551 12146 0.68865 55 153 0.67993 0.70763 4.07% 52.6 406s
57445 12259 0.68607 50 165 0.67993 0.70726 4.02% 52.7 412s
57845 12291 0.70400 47 176 0.67993 0.70712 4.00% 52.8 415s
58755 12464 cutoff 56 0.67993 0.70690 3.97% 52.9 421s
59525 12527 0.68587 59 135 0.67993 0.70664 3.93% 53.1 427s
59913 12532 0.69815 65 157 0.67993 0.70651 3.91% 53.1 430s
60853 12702 0.70168 53 149 0.67993 0.70628 3.88% 53.1 436s
61759 12854 0.68954 56 154 0.67993 0.70606 3.84% 53.2 442s
62202 12893 0.70117 61 140 0.67993 0.70593 3.82% 53.3 445s
63011 13014 0.69664 55 147 0.67993 0.70570 3.79% 53.4 450s
63878 13106 0.70366 51 148 0.67993 0.70546 3.75% 53.4 456s
64745 13234 0.69186 59 144 0.67993 0.70524 3.72% 53.5 461s
65613 13362 0.68531 55 139 0.67993 0.70500 3.69% 53.5 467s
66101 13426 0.69455 38 144 0.67993 0.70488 3.67% 53.5 470s
66937 13523 infeasible 68 0.67993 0.70466 3.64% 53.6 476s
67409 13620 0.68509 54 143 0.67993 0.70456 3.62% 53.6 482s
67832 13662 infeasible 55 0.67993 0.70447 3.61% 53.6 485s
68586 13732 0.68252 47 175 0.67993 0.70425 3.58% 53.8 491s
69585 13953 0.69393 47 168 0.67993 0.70403 3.55% 53.7 497s
70011 14002 cutoff 59 0.67993 0.70398 3.54% 53.7 500s
70834 14103 infeasible 54 0.67993 0.70377 3.51% 53.8 506s
71700 14217 cutoff 44 0.67993 0.70359 3.48% 53.8 511s
72583 14308 cutoff 59 0.67993 0.70333 3.44% 53.9 517s
73040 14379 0.69402 60 144 0.67993 0.70319 3.42% 53.8 520s
73966 14540 infeasible 55 0.67993 0.70302 3.40% 53.8 526s
74820 14650 0.68750 58 159 0.67993 0.70283 3.37% 53.9 532s
75690 14772 cutoff 58 0.67993 0.70269 3.35% 53.9 537s
76130 14850 cutoff 49 0.67993 0.70261 3.34% 53.9 540s
77064 15040 infeasible 62 0.67993 0.70244 3.31% 53.8 546s
77840 15127 0.69153 61 169 0.67993 0.70233 3.29% 53.9 551s
78160 15186 cutoff 65 0.67993 0.70224 3.28% 53.9 555s
79108 15407 0.69064 76 123 0.67993 0.70210 3.26% 53.9 561s
80010 15528 0.69457 49 142 0.67993 0.70197 3.24% 53.9 567s
80826 15599 0.69703 48 145 0.67993 0.70177 3.21% 54.0 572s
81207 15654 cutoff 80 0.67993 0.70167 3.20% 54.0 575s
82095 15792 cutoff 42 0.67993 0.70155 3.18% 54.0 581s
82922 15853 0.69179 53 140 0.67993 0.70140 3.16% 54.1 587s
83384 15962 cutoff 75 0.67993 0.70134 3.15% 54.1 590s
83952 16020 infeasible 55 0.67993 0.70124 3.14% 54.0 596s
84916 16160 0.68129 54 151 0.67993 0.70109 3.11% 54.0 600s
Cutting planes:
Gomory: 175
Cover: 5
Implied bound: 54
Projected implied bound: 39
MIR: 45
Flow cover: 168
Inf proof: 305
Zero half: 2
Explored 85071 nodes (4598335 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.679927 0.679927
Time limit reached
Best objective 6.799274342061e-01, best bound 7.010854606721e-01, gap 3.1118%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 7
Seed for training 316
Seed for simulation 217
direc: array([[-9.61729388e+01, -3.78987036e+00, 6.19805679e+01],
[-1.08830915e+01, 4.33159163e+01, 1.06023042e+01],
[ 3.87159513e-05, 4.49737748e-06, -4.01781725e-05]])
fopt: 0.6496646305944458
fun: -0.6477175730412983
message: 'Optimization terminated successfully.'
nfev: 1185
nit: 14
status: 0
success: True
x: array([ 82. , 118.28242322, 207.5001102 ])
xopt: array([ 81., 118., 207.])
zopt: array([ 81., 199., 406.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwn74qi28.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpibwez35j.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.649665
Presolve removed 899 rows and 580 columns
Presolve time: 0.03s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.811194e-01, 1354 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88112 0 145 0.64966 0.88112 35.6% - 0s
0 0 0.82868 0 181 0.64966 0.82868 27.6% - 0s
0 0 0.82867 0 181 0.64966 0.82867 27.6% - 0s
0 0 0.82668 0 194 0.64966 0.82668 27.2% - 0s
0 0 0.82661 0 194 0.64966 0.82661 27.2% - 0s
0 0 0.82629 0 198 0.64966 0.82629 27.2% - 0s
0 0 0.82629 0 195 0.64966 0.82629 27.2% - 0s
0 0 0.82622 0 210 0.64966 0.82622 27.2% - 0s
0 0 0.82622 0 169 0.64966 0.82622 27.2% - 0s
0 2 0.82622 0 167 0.64966 0.82622 27.2% - 0s
743 518 0.76868 12 169 0.64966 0.78979 21.6% 31.7 5s
816 535 0.77664 25 161 0.64966 0.78979 21.6% 41.4 10s
1367 558 0.65910 33 150 0.64966 0.78173 20.3% 50.9 15s
1971 582 infeasible 31 0.64966 0.75888 16.8% 51.7 20s
2660 795 0.72942 35 158 0.64966 0.74865 15.2% 49.8 26s
3043 940 cutoff 53 0.64966 0.74441 14.6% 49.6 30s
4088 1419 0.67161 50 140 0.64966 0.73875 13.7% 47.5 35s
4907 1687 cutoff 48 0.64966 0.73449 13.1% 48.3 41s
5571 1885 0.70078 43 144 0.64966 0.73140 12.6% 48.8 45s
6372 2177 0.68173 45 156 0.64966 0.72904 12.2% 49.3 50s
7014 2316 infeasible 45 0.64966 0.72755 12.0% 49.4 55s
7719 2471 0.67690 38 143 0.64966 0.72553 11.7% 49.9 60s
8149 2578 0.68158 45 158 0.64966 0.72473 11.6% 49.8 65s
9016 2767 infeasible 48 0.64966 0.72282 11.3% 50.2 71s
9597 2908 0.67523 40 150 0.64966 0.72171 11.1% 50.6 76s
10327 3075 0.65680 44 142 0.64966 0.72022 10.9% 50.6 81s
11083 3181 0.65544 47 149 0.64966 0.71903 10.7% 51.0 86s
11888 3366 0.65440 40 173 0.64966 0.71804 10.5% 51.1 91s
12666 3476 0.69489 42 147 0.64966 0.71687 10.3% 51.5 96s
13096 3504 cutoff 43 0.64966 0.71636 10.3% 51.8 102s
13513 3602 cutoff 54 0.64966 0.71579 10.2% 51.8 105s
14168 3697 0.66742 52 153 0.64966 0.71494 10.0% 52.3 110s
14893 3833 cutoff 41 0.64966 0.71392 9.89% 52.7 115s
15669 3997 cutoff 50 0.64966 0.71295 9.74% 52.9 120s
16439 4129 0.68430 54 137 0.64966 0.71179 9.56% 53.1 126s
17179 4244 0.66452 45 148 0.64966 0.71088 9.42% 53.3 132s
17974 4363 0.68279 58 144 0.64966 0.70980 9.26% 53.4 137s
18411 4442 0.70678 50 159 0.64966 0.70895 9.13% 53.4 140s
19192 4537 0.69600 35 186 0.64966 0.70816 9.00% 53.6 145s
19986 4639 0.66946 41 156 0.64966 0.70748 8.90% 53.7 151s
20762 4759 0.69350 47 169 0.64966 0.70676 8.79% 53.9 181s
20771 4765 0.66786 48 221 0.64966 0.70676 8.79% 53.9 185s
20776 4768 0.67773 50 254 0.64966 0.70676 8.79% 53.9 190s
20781 4772 0.66791 44 260 0.64966 0.70676 8.79% 53.8 198s
20784 4774 0.67549 45 245 0.64966 0.70676 8.79% 53.8 200s
20787 4776 0.66928 54 259 0.64966 0.70676 8.79% 53.8 205s
20793 4780 0.65724 69 268 0.64966 0.70676 8.79% 53.8 210s
20795 4781 0.69496 41 271 0.64966 0.70676 8.79% 53.8 215s
20798 4783 0.67512 47 267 0.64966 0.70676 8.79% 53.8 220s
20802 4786 0.68038 68 269 0.64966 0.70676 8.79% 53.8 226s
20806 4788 0.65977 49 269 0.64966 0.70676 8.79% 53.8 231s
20809 4790 0.70310 46 280 0.64966 0.70676 8.79% 53.8 235s
20812 4792 0.67507 45 273 0.64966 0.70676 8.79% 53.8 241s
20816 4795 0.69336 43 261 0.64966 0.70676 8.79% 53.8 247s
20818 4796 0.65712 55 256 0.64966 0.70676 8.79% 53.8 250s
20822 4799 0.70074 30 266 0.64966 0.70676 8.79% 53.7 255s
20826 4802 0.69206 41 271 0.64966 0.70676 8.79% 53.7 261s
20830 4804 0.65289 94 274 0.64966 0.70676 8.79% 53.7 266s
20833 4806 0.65495 59 280 0.64966 0.70676 8.79% 53.7 270s
20836 4808 0.68978 29 300 0.64966 0.70676 8.79% 53.7 276s
20840 4811 0.68212 57 290 0.64966 0.70676 8.79% 53.7 281s
20843 4813 0.68536 47 297 0.64966 0.70676 8.79% 53.7 285s
20846 4815 0.69158 47 294 0.64966 0.70676 8.79% 53.7 292s
20848 4816 0.70575 40 292 0.64966 0.70676 8.79% 53.7 296s
20851 4818 0.65891 54 304 0.64966 0.70676 8.79% 53.7 300s
20854 4820 0.66453 50 280 0.64966 0.70676 8.79% 53.7 305s
20857 4822 0.65441 40 302 0.64966 0.70676 8.79% 53.6 310s
20859 4824 0.70433 41 284 0.64966 0.70676 8.79% 53.6 315s
20862 4826 0.69350 47 281 0.64966 0.70676 8.79% 53.6 323s
20864 4827 0.66345 47 276 0.64966 0.70676 8.79% 53.6 325s
20866 4828 0.70131 43 275 0.64966 0.70676 8.79% 53.6 330s
20871 4832 0.66786 48 262 0.64966 0.70676 8.79% 53.6 336s
20873 4833 0.70409 42 277 0.64966 0.70676 8.79% 53.6 341s
20875 4834 0.66514 47 270 0.64966 0.70676 8.79% 53.6 345s
H20877 4592 0.6507243 0.70676 8.61% 53.6 350s
20880 4594 0.69745 62 278 0.65072 0.70676 8.61% 53.6 356s
20882 4595 0.66098 52 278 0.65072 0.70676 8.61% 53.6 360s
20884 4596 0.67549 45 277 0.65072 0.70676 8.61% 53.6 365s
20887 4598 0.66928 54 272 0.65072 0.70676 8.61% 53.6 371s
20890 4600 0.65930 45 263 0.65072 0.70676 8.61% 53.6 377s
20892 4602 0.66811 51 269 0.65072 0.70676 8.61% 53.6 380s
20894 4603 0.69874 49 275 0.65072 0.70676 8.61% 53.6 385s
20897 4605 0.70626 45 273 0.65072 0.70676 8.61% 53.5 391s
20899 4606 0.69666 49 271 0.65072 0.70676 8.61% 53.5 395s
20902 4608 0.68038 68 267 0.65072 0.70676 8.61% 53.5 400s
20906 4611 0.65977 49 278 0.65072 0.70676 8.61% 53.5 406s
20909 4613 0.70310 46 291 0.65072 0.70676 8.61% 53.5 410s
20913 4616 0.68355 41 282 0.65072 0.70676 8.61% 53.5 415s
20917 4618 0.70401 46 290 0.65072 0.70676 8.61% 53.5 421s
20921 4621 0.68823 52 275 0.65072 0.70676 8.61% 53.5 425s
20924 4623 0.69149 58 270 0.65072 0.70676 8.61% 53.5 430s
20926 4624 0.69206 41 283 0.65072 0.70676 8.61% 53.5 435s
20930 4627 0.65289 94 295 0.65072 0.70676 8.61% 53.5 440s
20933 4629 0.65495 59 286 0.65072 0.70676 8.61% 53.5 445s
20935 4630 0.65821 44 269 0.65072 0.70676 8.61% 53.4 450s
20938 4632 0.68421 39 271 0.65072 0.70676 8.61% 53.4 458s
20940 4634 0.68212 57 274 0.65072 0.70676 8.61% 53.4 461s
20942 4635 0.69693 44 269 0.65072 0.70676 8.61% 53.4 466s
20945 4637 0.70059 54 267 0.65072 0.70676 8.61% 53.4 470s
20949 4640 0.67781 60 271 0.65072 0.70676 8.61% 53.4 477s
20952 4642 0.67951 49 264 0.65072 0.70676 8.61% 53.4 480s
20956 4644 0.69993 56 259 0.65072 0.70676 8.61% 53.4 485s
20960 4647 0.69606 41 283 0.65072 0.70676 8.61% 53.4 490s
20964 4650 0.66345 47 276 0.65072 0.70676 8.61% 53.4 496s
20967 4652 0.68076 40 282 0.65072 0.70676 8.61% 53.4 500s
20970 4654 0.67897 39 264 0.65072 0.70676 8.61% 53.4 505s
20973 4659 0.70558 30 247 0.65072 0.70676 8.61% 56.1 517s
H20974 4422 0.6507243 0.70676 8.61% 56.1 517s
20975 4423 0.70128 31 255 0.65072 0.70676 8.61% 56.1 525s
20983 4421 0.65245 32 231 0.65072 0.70676 8.61% 56.2 533s
20991 4425 0.70357 34 267 0.65072 0.70676 8.61% 56.3 535s
21002 4425 0.70268 36 279 0.65072 0.70645 8.56% 56.4 540s
21091 4423 0.70419 36 268 0.65072 0.70589 8.48% 56.9 545s
21207 4439 0.65908 70 182 0.65072 0.70419 8.22% 57.3 550s
21397 4489 0.66327 72 184 0.65072 0.70072 7.68% 57.7 555s
21573 4527 0.67841 48 233 0.65072 0.69882 7.39% 58.2 560s
21685 4565 0.69593 43 227 0.65072 0.69861 7.36% 58.4 565s
21956 4632 0.69431 39 238 0.65072 0.69784 7.24% 58.8 571s
22149 4680 infeasible 44 0.65072 0.69701 7.11% 59.2 575s
22409 4711 0.69556 48 252 0.65072 0.69657 7.04% 59.9 580s
22615 4742 0.66362 85 172 0.65072 0.69588 6.94% 60.5 586s
22866 4751 cutoff 41 0.65072 0.69514 6.83% 61.2 591s
22973 4749 0.68508 41 239 0.65072 0.69491 6.79% 61.8 596s
23074 4761 0.66523 42 235 0.65072 0.69464 6.75% 62.6 600s
Cutting planes:
Gomory: 198
Cover: 5
Implied bound: 29
Projected implied bound: 35
MIR: 160
StrongCG: 7
Flow cover: 595
Inf proof: 28
Zero half: 1
Explored 23110 nodes (1451678 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.650724 0.650724 0.649665
Time limit reached
Best objective 6.507242968666e-01, best bound 6.946427675632e-01, gap 6.7492%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzovzd2pd.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp66bvqi88.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.00s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8868265e+01 4.857500e+02 0.000000e+00 0s
215 1.1898485e+01 0.000000e+00 0.000000e+00 0s
Solved in 215 iterations and 0.01 seconds
Optimal objective 1.189848493e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.2415281 , 0.59969622, 0.01332869]])
fopt: 2.5344716051961793
fun: -2.5616978107128565
message: 'Optimization terminated successfully.'
nfev: 197
nit: 3
status: 0
success: True
x: array([ 37.00023925, -84.99740274, -0.99992051])
xopt: array([37., 0., 0.])
zopt: array([37., 37., 37.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.02265171e-03, 2.18748994e-04, -0.00000000e+00]])
fopt: 2.362108880626187
fun: -2.372544012210915
message: 'Optimization terminated successfully.'
nfev: 202
nit: 2
status: 0
success: True
x: array([ 5.72937423e+01, -4.46474624e-02, 1.00000000e+00])
xopt: array([57., 0., 1.])
zopt: array([57., 57., 58.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.77112133e-03, 1.03520872e-04, 4.65770430e-03]])
fopt: 2.031819280718209
fun: -2.0324601584545845
message: 'Optimization terminated successfully.'
nfev: 154
nit: 2
status: 0
success: True
x: array([ 73.8534962 , -0.99993871, -87.99120536])
xopt: array([74., 0., 0.])
zopt: array([74., 74., 74.])
*******************************************
Period: 5
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.29783012e-03, -1.03751223e-05, 0.00000000e+00]])
fopt: 1.9390743448555394
fun: -1.9306555387294677
message: 'Optimization terminated successfully.'
nfev: 246
nit: 2
status: 0
success: True
x: array([93.91467379, 0.86790579, 1. ])
xopt: array([93., 1., 1.])
zopt: array([93., 94., 95.])
*******************************************
Period: 6
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.6900530866565797
fun: -1.6907393870340481
message: 'Optimization terminated successfully.'
nfev: 252
nit: 3
status: 0
success: True
x: array([116.85224367, 1.00000702, -1.87531163])
xopt: array([116., 2., 0.])
zopt: array([116., 118., 118.])
*******************************************
Period: 7
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.2378407 , -0.00193222, -0. ]])
fopt: 1.5477613439972842
fun: -1.5495761682517033
message: 'Optimization terminated successfully.'
nfev: 311
nit: 3
status: 0
success: True
x: array([134.98140398, 2.04135762, 1. ])
xopt: array([134., 3., 1.])
zopt: array([134., 137., 138.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.3743514321930452
fun: -1.3755899715686066
message: 'Optimization terminated successfully.'
nfev: 230
nit: 3
status: 0
success: True
x: array([152.99999681, 1.00024665, -0.69550185])
xopt: array([152., 2., 0.])
zopt: array([152., 154., 154.])
*******************************************
Period: 9
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2012: RuntimeWarning: overflow encountered in double_scalars u = x + tol1
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.0030497 , 0. , -0.76089495]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1869
nit: 7
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 0., 1.],
[0., 0., 0.]])
fopt: 1.039499738153632
fun: -1.0408583269699747
message: 'Optimization terminated successfully.'
nfev: 318
nit: 4
status: 0
success: True
x: array([168.99999989, 4.03790509, -0.98850098])
xopt: array([168., 5., 0.])
zopt: array([168., 173., 173.])
*******************************************
Period: 11
direc: array([[ 1. , 0. , 0. ],
[ 0.95433526, 3.04819307, 12.19602331],
[-1.95163037, 36.21740285, 0. ]])
fopt: 1.2524273647730295
fun: -1.2505621693968552
message: 'Optimization terminated successfully.'
nfev: 634
nit: 8
status: 0
success: True
x: array([155.99995808, 47.20762066, 21.01000122])
xopt: array([155., 48., 21.])
zopt: array([155., 203., 224.])
*******************************************
Period: 12
direc: array([[6.42082756e-06, 4.07397043e-08, 1.24756441e-07],
[9.73061679e-02, 2.00050860e+01, 3.88960176e+01],
[1.02318155e-12, 4.00000005e+00, 0.00000000e+00]])
fopt: 1.168258339925404
fun: -1.166506691918579
message: 'Optimization terminated successfully.'
nfev: 1012
nit: 11
status: 0
success: True
x: array([158.70481279, 44.04693609, 43.058464 ])
xopt: array([158., 45., 43.])
zopt: array([158., 203., 246.])
*******************************************
Period: 13
direc: array([[ 2.64866616e-01, 1.71176865e-03, 5.30671815e-03],
[ 4.23214011e+00, 1.60962878e+01, 4.70040585e+01],
[ 6.33955576e-06, 9.55902406e-01, -4.66782149e-07]])
fopt: 1.0349637771157183
fun: -1.034169915811384
message: 'Optimization terminated successfully.'
nfev: 575
nit: 6
status: 0
success: True
x: array([160.99909952, 22.00366858, 54.04631603])
xopt: array([160., 23., 55.])
zopt: array([160., 183., 238.])
*******************************************
Period: 14
direc: array([[2.03316957e+00, 2.00070685e+01, 4.00275067e+01],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.54103797e-05, 2.39838886e-07, 4.99494795e-07]])
fopt: 1.0543187696498737
fun: -1.0528566292986963
message: 'Optimization terminated successfully.'
nfev: 420
nit: 5
status: 0
success: True
x: array([158.96852416, 44.00631305, 86.08028671])
xopt: array([158., 45., 86.])
zopt: array([158., 203., 289.])
*******************************************
Period: 15
direc: array([[ 5.64158093e+00, 2.31575461e+01, 4.42332269e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.61635528e-04, -1.71279706e+00, -5.97055687e-03]])
fopt: 0.9098745404590454
fun: -0.9058239913158934
message: 'Optimization terminated successfully.'
nfev: 583
nit: 7
status: 0
success: True
x: array([181.56642307, 45.06135099, 88.22622507])
xopt: array([181., 45., 89.])
zopt: array([181., 226., 315.])
*******************************************
Period: 16
direc: array([[8.53447915e-01, 4.99404210e-03, 9.98808432e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.30929574e+01, 1.51114211e+01, 3.02228425e+01]])
fopt: 0.7742633901848425
fun: -0.7713496724684906
message: 'Optimization terminated successfully.'
nfev: 528
nit: 6
status: 0
success: True
x: array([184.9971897 , 18.00009194, 35.21929777])
xopt: array([184., 19., 36.])
zopt: array([184., 203., 239.])
*******************************************
Period: 17
direc: array([[ 3.16621466e-01, 1.89959550e-03, 3.79919105e-03],
[ 4.16398890e+00, 1.31679761e+01, 3.49836858e+01],
[ 1.99977777e+00, 4.00000015e+00, -7.89384950e-03]])
fopt: 1.1284787854022247
fun: -1.1262406410715606
message: 'Optimization terminated successfully.'
nfev: 1180
nit: 15
status: 0
success: True
x: array([120.67719052, 83.00078222, 135.06322546])
xopt: array([120., 83., 135.])
zopt: array([120., 203., 338.])
*******************************************
Period: 18
direc: array([[2.82060477e-02, 1.83191376e-04, 3.66382757e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.36096048e-01, 1.90099039e+01, 3.80198083e+01]])
fopt: 0.9372783562284522
fun: -0.9375061480072089
message: 'Optimization terminated successfully.'
nfev: 404
nit: 5
status: 0
success: True
x: array([156.15478699, 74.00187848, 145.00389512])
xopt: array([156., 74., 145.])
zopt: array([156., 230., 375.])
*******************************************
Period: 19
direc: array([[ 6.94747114e-02, 4.54537760e-04, 9.09075532e-04],
[-3.53011239e-01, 3.53924951e-03, -1.16055055e+01],
[ 9.94493882e-01, 1.99651299e+00, 8.09948619e-05]])
fopt: 1.1380994551403538
fun: -1.1371787891176661
message: 'Optimization terminated successfully.'
nfev: 910
nit: 12
status: 0
success: True
x: array([ 84.99980523, 106.00000057, 176.00000425])
xopt: array([ 84., 107., 176.])
zopt: array([ 84., 191., 367.])
*******************************************
Period: 20
direc: array([[ 2.24031769e-04, 1.46677293e-06, 3.07208892e-06],
[ 3.68674332e-03, 1.64563638e+01, 3.23156060e+01],
[-2.20248133e-08, -8.21684468e-03, 7.79506898e-08]])
fopt: 1.0562908073497768
fun: -1.05541630851795
message: 'Optimization terminated successfully.'
nfev: 579
nit: 8
status: 0
success: True
x: array([ 93. , 105.00000019, 191. ])
xopt: array([ 92., 106., 191.])
zopt: array([ 92., 198., 389.])
*******************************************
Period: 21
direc: array([[ 7.19652365e-01, 4.45050353e-03, 8.90100716e-03],
[ 1.68998278e+01, 6.25957737e+01, 1.25191549e+02],
[-2.10585044e+00, 1.10552367e+01, -1.43814990e-01]])
fopt: 1.0271279661915873
fun: -1.028246574057301
message: 'Optimization terminated successfully.'
nfev: 562
nit: 8
status: 0
success: True
x: array([ 82.9999625 , 120. , 206.00090752])
xopt: array([ 82., 120., 206.])
zopt: array([ 82., 202., 408.])
*******************************************
Period: 22
direc: array([[-1.53929795e-09, -1.06318762e-11, -2.00000003e-11],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.11382157e-07, 6.83344935e+01, 1.61121104e+02]])
fopt: 0.9248101142121995
fun: -0.9208597437067865
message: 'Optimization terminated successfully.'
nfev: 479
nit: 6
status: 0
success: True
x: array([107.99999995, 95. , 217.86626681])
xopt: array([107., 96., 217.])
zopt: array([107., 203., 420.])
*******************************************
Period: 23
direc: array([[2.15047762e-01, 1.28245192e-03, 3.86521830e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.92363374e+01, 6.14256641e+01, 1.23445537e+02]])
fopt: 0.9774639821764038
fun: -0.9771030477564349
message: 'Optimization terminated successfully.'
nfev: 387
nit: 6
status: 0
success: True
x: array([ 83. , 129.00000634, 172.14560066])
xopt: array([ 83., 129., 172.])
zopt: array([ 83., 212., 384.])
*******************************************
Period: 24
direc: array([[5.83110187e+01, 6.27848794e-01, 1.72982371e+00],
[1.77394558e-03, 7.14543844e+00, 1.60834898e+01],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00]])
fopt: 0.9628620334579316
fun: -0.9606105379451189
message: 'Optimization terminated successfully.'
nfev: 1520
nit: 18
status: 0
success: True
x: array([ 95.99987653, 107.00000002, 211.27369867])
xopt: array([ 95., 108., 211.])
zopt: array([ 95., 203., 414.])
*******************************************
Period: 25
direc: array([[1.53535578e-01, 1.00451521e-03, 2.00903044e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.10061507e+01, 7.15347649e+01, 1.43069532e+02]])
fopt: 0.9548500233235391
fun: -0.9532200171460753
message: 'Optimization terminated successfully.'
nfev: 677
nit: 9
status: 0
success: True
x: array([ 89.99998988, 113. , 216.03319088])
xopt: array([ 89., 114., 216.])
zopt: array([ 89., 203., 419.])
*******************************************
Period: 26
direc: array([[1.08379624e-01, 7.08927209e-04, 1.41785444e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.70687102e+00, 7.61530524e+01, 1.52306107e+02]])
fopt: 0.9351776382509617
fun: -0.932532422214393
message: 'Optimization terminated successfully.'
nfev: 342
nit: 5
status: 0
success: True
x: array([ 91.99998054, 111.00000001, 214.50670685])
xopt: array([ 91., 112., 214.])
zopt: array([ 91., 203., 417.])
*******************************************
Period: 27
direc: array([[ 2.19570205e-02, 1.26940342e-04, 2.53880688e-04],
[ 3.30436602e-01, 1.50511563e+01, 3.30773074e+01],
[-2.88587432e-20, -4.81061618e-11, -3.33611282e-22]])
fopt: 0.9147786789746628
fun: -0.9136969638008235
message: 'Optimization terminated successfully.'
nfev: 883
nit: 10
status: 0
success: True
x: array([ 87. , 97. , 194.18726566])
xopt: array([ 86., 98., 194.])
zopt: array([ 86., 184., 378.])
*******************************************
Period: 28
direc: array([[4.38693132e-01, 2.73234532e-03, 5.46469071e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.89443014e+00, 2.39577931e+01, 1.48828931e+02]])
fopt: 0.7788576469419166
fun: -0.7784737605248857
message: 'Optimization terminated successfully.'
nfev: 424
nit: 5
status: 0
success: True
x: array([171.93032123, 31.00099952, 185.10706915])
xopt: array([171., 32., 185.])
zopt: array([171., 203., 388.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 0. ],
[ 0. , 54.96545779, 92.06374201],
[ 0. , -19.90769058, -0.18558388]])
fopt: 0.7690289284761629
fun: -0.7673983573307265
message: 'Optimization terminated successfully.'
nfev: 447
nit: 7
status: 0
success: True
x: array([168.77791943, 39.00000002, 177.00553218])
xopt: array([168., 39., 177.])
zopt: array([168., 207., 384.])
*******************************************
Period: 30
direc: array([[6.43124462e-01, 3.68860169e-03, 7.37720348e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.30510970e+00, 8.33519970e+00, 1.96261920e+01]])
fopt: 0.5814513201260249
fun: -0.5807813759848857
message: 'Optimization terminated successfully.'
nfev: 490
nit: 6
status: 0
success: True
x: array([185.98994843, 17.00018014, 37.03718599])
xopt: array([185., 18., 37.])
zopt: array([185., 203., 240.])
*******************************************
Period: 31
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 0. , 5.04192219]])
fopt: 0.5326602280004058
fun: -0.5572292910060594
message: 'Optimization terminated successfully.'
nfev: 655
nit: 10
status: 0
success: True
x: array([216.97568265, -14.00007482, 37.00683834])
xopt: array([216., 0., 37.])
zopt: array([216., 216., 253.])
*******************************************
Period: 32
direc: array([[ 3.39280010e-04, 1.57549412e-06, 1.57549412e-06],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 4.67662349e-15, -3.93540623e-08]])
fopt: 0.5169362419350821
fun: -0.5168512710396581
message: 'Optimization terminated successfully.'
nfev: 658
nit: 6
status: 0
success: True
x: array([216.34865798, 2.00001559, 5.00000153])
xopt: array([216., 2., 6.])
zopt: array([216., 218., 224.])
*******************************************
Period: 33
direc: array([[0.4966339 , 0.00228506, 0.00461458],
[0.53693696, 1.08362297, 1.07533 ],
[0. , 0. , 0. ]])
fopt: 0.5212964852213018
fun: -0.5188595712559991
message: 'Optimization terminated successfully.'
nfev: 414
nit: 4
status: 0
success: True
x: array([219.37288854, 5.03017993, 5.08939764])
xopt: array([219., 6., 6.])
zopt: array([219., 225., 231.])
*******************************************
Period: 34
direc: array([[1.16443141e-08, 5.36187618e-11, 1.07986199e-10],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.33864949e-08, 3.07625996e+00, 6.01945703e+00]])
fopt: 0.5210390987418864
fun: -0.5196446679427745
message: 'Optimization terminated successfully.'
nfev: 487
nit: 5
status: 0
success: True
x: array([218.02331493, 10.18643128, 17.2107277 ])
xopt: array([218., 10., 18.])
zopt: array([218., 228., 246.])
*******************************************
Period: 35
direc: array([[0.00975377, 1.01004411, 1.0000883 ],
[0. , 1. , 0. ],
[0.05607863, 6.07202586, 6.01216334]])
fopt: 0.4843457811395274
fun: -0.48472344030318876
message: 'Optimization terminated successfully.'
nfev: 616
nit: 6
status: 0
success: True
x: array([222.18477555, 12.08997302, 12.0019647 ])
xopt: array([222., 12., 12.])
zopt: array([222., 234., 246.])
*******************************************
Period: 36
direc: array([[1.57884479, 0.00726107, 0.01463604],
[0. , 1. , 0. ],
[0.60306507, 1.00277348, 1.99694144]])
fopt: 0.46874275634204277
fun: -0.4685067235726341
message: 'Optimization terminated successfully.'
nfev: 400
nit: 4
status: 0
success: True
x: array([219.18512484, 4.00342831, 7.00529815])
xopt: array([219., 4., 8.])
zopt: array([219., 223., 231.])
*******************************************
Period: 37
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 3.01206198, 6.00736804]])
fopt: 0.46290962643385647
fun: -0.46291750908508666
message: 'Optimization terminated successfully.'
nfev: 300
nit: 4
status: 0
success: True
x: array([220.23599173, 9.04504202, 17.02561344])
xopt: array([220., 9., 18.])
zopt: array([220., 229., 247.])
*******************************************
Period: 38
direc: array([[ 3.78726130e+00, 1.73528098e-02, 3.47659648e-02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.99236418e-14, -9.12879092e-17, -3.32792605e-09]])
fopt: 0.43324847723820353
fun: -0.43320358729776615
message: 'Optimization terminated successfully.'
nfev: 405
nit: 4
status: 0
success: True
x: array([223.03865737, 3.01735642, 5.00380888])
xopt: array([223., 3., 6.])
zopt: array([223., 226., 232.])
*******************************************
Period: 39
direc: array([[8.31252187e-03, 3.80544930e-05, 8.09560161e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.31252187e-03, 1.00003805e+00, 9.44352871e-01]])
fopt: 0.42374028483995646
fun: -0.42252947547110026
message: 'Optimization terminated successfully.'
nfev: 422
nit: 5
status: 0
success: True
x: array([219.43687636, 6.00970089, 5.01350313])
xopt: array([219., 6., 6.])
zopt: array([219., 225., 231.])
*******************************************
Period: 40
direc: array([[5.41084385e-02, 2.47044359e-04, 5.20226004e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 1.69384574e+02]])
fopt: 0.6645302972007191
fun: -0.664745061621341
message: 'Optimization terminated successfully.'
nfev: 509
nit: 5
status: 0
success: True
x: array([220.07727641, 3.01999301, 175.27196964])
xopt: array([220., 3., 175.])
zopt: array([220., 223., 398.])
*******************************************
Period: 41
direc: array([[-0.07134785, 2.0145814 , 1.01967726],
[ 0. , 0.99 , 1.00520254],
[-3.74027909, 9.08227405, 5.48648838]])
fopt: 0.4140478895132095
fun: -0.41316503786199005
message: 'Optimization terminated successfully.'
nfev: 675
nit: 7
status: 0
success: True
x: array([212.19696102, 20.0985348 , 14.5393483 ])
xopt: array([212., 20., 14.])
zopt: array([212., 232., 246.])
*******************************************
Period: 42
direc: array([[7.98580939e-05, 3.64519374e-07, 7.30958706e-07],
[8.05073896e-05, 1.01000037e+00, 1.00000074e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.38620798834850056
fun: -0.3861401656178874
message: 'Optimization terminated successfully.'
nfev: 445
nit: 4
status: 0
success: True
x: array([220.07793771, 5.02000073, 5.00526857])
xopt: array([220., 5., 6.])
zopt: array([220., 225., 231.])
*******************************************
Period: 43
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 3., 2.]])
fopt: 0.39317838337445293
fun: -0.39328819667948306
message: 'Optimization terminated successfully.'
nfev: 653
nit: 9
status: 0
success: True
x: array([218.31893492, 16.00357419, 12.00237415])
xopt: array([218., 16., 12.])
zopt: array([218., 234., 246.])
*******************************************
Period: 44
direc: array([[1.40527841, 0.00645725, 0.01303379],
[0. , 0. , 0. ],
[0. , 0. , 0. ]])
fopt: 0.3877031812669969
fun: -0.3869953285850331
message: 'Optimization terminated successfully.'
nfev: 483
nit: 5
status: 0
success: True
x: array([220.11159781, 6.0068171 , 4.10438716])
xopt: array([220., 6., 5.])
zopt: array([220., 226., 231.])
*******************************************
Period: 45
direc: array([[4.80132211e-01, 2.32919431e-03, 2.24999483e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 3.00000000e+00, 2.00000000e+00]])
fopt: 0.39432791384435056
fun: -0.39318290290644936
message: 'Optimization terminated successfully.'
nfev: 768
nit: 8
status: 0
success: True
x: array([218.92679485, 16.00152433, 12.02124001])
xopt: array([218., 16., 12.])
zopt: array([218., 234., 246.])
*******************************************
Period: 46
direc: array([[1.93731082e-06, 8.82771037e-09, 1.76783708e-08],
[1.93731060e-06, 1.00000001e+00, 1.00000002e+00],
[3.63559634e-06, 8.12420668e+00, 5.33794355e+00]])
fopt: 0.39317193326668093
fun: -0.3917995844286961
message: 'Optimization terminated successfully.'
nfev: 583
nit: 6
status: 0
success: True
x: array([220.457911 , 14.01965653, 11.24297498])
xopt: array([220., 14., 12.])
zopt: array([220., 234., 246.])
*******************************************
Period: 47
direc: array([[1.67830229e-06, 8.69099112e-09, 7.65978857e-09],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.58971082e-05, 8.94427217e+00, 1.11622070e+01]])
fopt: 0.39881386782640904
fun: -0.3988548250557589
message: 'Optimization terminated successfully.'
nfev: 435
nit: 4
status: 0
success: True
x: array([220.10558317, 12.02316884, 14.34063251])
xopt: array([220., 12., 14.])
zopt: array([220., 232., 246.])
*******************************************
Period: 48
direc: array([[3.21025674e-02, 1.45781187e-04, 3.04765692e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
fopt: 0.3929243481218101
fun: -0.3926829497105716
message: 'Optimization terminated successfully.'
nfev: 382
nit: 4
status: 0
success: True
x: array([221.24273544, 4.00014573, 5.00070425])
xopt: array([221., 4., 6.])
zopt: array([221., 225., 231.])
*******************************************
Period: 49
direc: array([[1.53291619e-03, 6.93599072e-06, 1.40143810e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.53291587e-03, 1.01000694e+00, 9.90014014e-01]])
fopt: 0.39341318901937083
fun: -0.3931594241419234
message: 'Optimization terminated successfully.'
nfev: 389
nit: 4
status: 0
success: True
x: array([222.00506826, 4.00548593, 5.00049481])
xopt: array([222., 4., 6.])
zopt: array([222., 226., 232.])
*******************************************
Period: 50
direc: array([[2.79266129e-03, 1.45910514e-05, 1.27445138e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.84663380e-03, 9.68927480e-01, 1.02610790e+00]])
fopt: 0.39206799667380937
fun: -0.39193717390542965
message: 'Optimization terminated successfully.'
nfev: 461
nit: 5
status: 0
success: True
x: array([220.13234617, 6.0102534 , 4.03446416])
xopt: array([220., 6., 5.])
zopt: array([220., 226., 231.])
*******************************************
Period: 51
direc: array([[2.26066946e-03, 1.01291188e-05, 2.03084543e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.49013163e-02, 1.11902369e-04, 1.10152432e+01]])
fopt: 0.5993019544400758
fun: -0.5989510249453117
message: 'Optimization terminated successfully.'
nfev: 547
nit: 6
status: 0
success: True
x: array([224.62328126, 2.05752105, 206.07228909])
xopt: array([224., 2., 207.])
zopt: array([224., 226., 433.])
*******************************************
Period: 52
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 4.00000054, 4.00000005]])
fopt: 0.38938366606272384
fun: -0.38987665418331885
message: 'Optimization terminated successfully.'
nfev: 554
nit: 7
status: 0
success: True
x: array([222.24333759, 12.0040824 , 13.0000001 ])
xopt: array([222., 12., 13.])
zopt: array([222., 234., 247.])
*******************************************
Period: 53
direc: array([[0., 0., 0.],
[0., 0., 0.],
[0., 1., 0.]])
fopt: 0.3886186639074386
fun: -0.38836109975659194
message: 'Optimization terminated successfully.'
nfev: 377
nit: 6
status: 0
success: True
x: array([220.25836913, 7.05511206, 3.01032032])
xopt: array([220., 7., 4.])
zopt: array([220., 227., 231.])
*******************************************
Period: 54
direc: array([[ 1.43224121e-02, 6.42166582e-05, 1.32054723e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.42339356e-08, -1.08656443e-10, -1.97866777e-06]])
fopt: 0.38277263163666575
fun: -0.38280973341161656
message: 'Optimization terminated successfully.'
nfev: 384
nit: 3
status: 0
success: True
x: array([224.04698321, 2.00006422, 4.225797 ])
xopt: array([224., 2., 5.])
zopt: array([224., 226., 231.])
*******************************************
Period: 55
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 2., 2.]])
fopt: 0.38095663936052127
fun: -0.38106531527305054
message: 'Optimization terminated successfully.'
nfev: 442
nit: 5
status: 0
success: True
x: array([228.49219052, 9.01371833, 9. ])
xopt: array([228., 9., 9.])
zopt: array([228., 237., 246.])
*******************************************
Period: 56
direc: array([[2.73307461e-04, 1.19310429e-06, 1.19310429e-06],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[8.41230198e-04, 3.07783083e+00, 2.05188845e+00]])
fopt: 0.3749375567427101
fun: -0.3749220066598806
message: 'Optimization terminated successfully.'
nfev: 456
nit: 5
status: 0
success: True
x: array([230.07449861, 9.07776391, 7.05184543])
xopt: array([230., 9., 8.])
zopt: array([230., 239., 247.])
*******************************************
Period: 57
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 3., 2.]])
fopt: 0.3666231123946758
fun: -0.36747525082102783
message: 'Optimization terminated successfully.'
nfev: 504
nit: 6
status: 0
success: True
x: array([229.00190321, 10.0193795 , 7. ])
xopt: array([229., 10., 7.])
zopt: array([229., 239., 246.])
*******************************************
Period: 58
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 3., 2.]])
fopt: 0.36035859065222037
fun: -0.36027250950891715
message: 'Optimization terminated successfully.'
nfev: 381
nit: 5
status: 0
success: True
x: array([229.30501959, 10.05044123, 7.17784766])
xopt: array([229., 10., 8.])
zopt: array([229., 239., 247.])
*******************************************
Period: 59
direc: array([[5.70150231e-02, 2.49751376e-04, 2.73408424e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.15883137e-08, 2.98947322e+00, 2.08475750e+00]])
fopt: 0.3544042814965044
fun: -0.3548273017943047
message: 'Optimization terminated successfully.'
nfev: 756
nit: 7
status: 0
success: True
x: array([229.00967342, 10.0152658 , 8.20845143])
xopt: array([229., 10., 9.])
zopt: array([229., 239., 248.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplk1t3903.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp24eloqmr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgguj1_qm.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi8on_bhg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.838827
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.534472e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.5344716 2.53447 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.53447 0.838827
Optimal solution found (tolerance 1.00e-02)
Best objective 2.534471605196e+00, best bound 2.534471605196e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpflf9inbd.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppfm6piqz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35531
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.363375e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.3633748 2.36337 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.36337 1.35531
Optimal solution found (tolerance 1.00e-02)
Best objective 2.363374783899e+00, best bound 2.363374783899e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp88sk6mfc.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps6uouwit.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.56977
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 2.588730e+00, 44 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.58873 0 3 1.56977 2.58873 64.9% - 0s
H 0 0 2.0318193 2.58873 27.4% - 0s
0 0 cutoff 0 2.03182 2.03182 0.00% - 0s
Cutting planes:
Flow cover: 3
Explored 1 nodes (56 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.03182 1.56977
Optimal solution found (tolerance 1.00e-02)
Best objective 2.031819280718e+00, best bound 2.031819280718e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4t3sa58k.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnlc_3hyr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.4603
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 349 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.641368e+00, 62 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.64137 0 4 1.46030 2.64137 80.9% - 0s
H 0 0 1.5310406 2.64137 72.5% - 0s
H 0 0 2.0667434 2.64137 27.8% - 0s
0 0 2.08259 0 1 2.06674 2.08259 0.77% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (82 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 2.06674 1.53104 1.4603
Optimal solution found (tolerance 1.00e-02)
Best objective 2.066743399327e+00, best bound 2.082594069273e+00, gap 0.7669%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpscturqtl.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm24uj8zm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.62337
Presolve removed 150 rows and 102 columns
Presolve time: 0.00s
Presolved: 133 rows, 106 columns, 453 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 2.516227e+00, 78 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.51623 0 6 1.62337 2.51623 55.0% - 0s
H 0 0 1.8879791 2.51623 33.3% - 0s
0 0 1.95601 0 2 1.88798 1.95601 3.60% - 0s
H 0 0 1.9319978 1.95601 1.24% - 0s
0 0 cutoff 0 1.93200 1.93200 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 1
Flow cover: 4
Explored 1 nodes (107 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.932 1.88798 1.62337
Optimal solution found (tolerance 1.00e-02)
Best objective 1.931997766757e+00, best bound 1.931997766757e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9accjvc3.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0h11_y3p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [8e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.50906
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.490079e+00, 112 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.49008 0 7 1.50906 2.49008 65.0% - 0s
0 0 2.21667 0 14 1.50906 2.21667 46.9% - 0s
0 0 1.93225 0 6 1.50906 1.93225 28.0% - 0s
H 0 0 1.8532827 1.93225 4.26% - 0s
0 0 1.92028 0 4 1.85328 1.92028 3.62% - 0s
0 0 1.92028 0 4 1.85328 1.92028 3.62% - 0s
H 0 0 1.8584200 1.92028 3.33% - 0s
H 0 0 1.8590569 1.92028 3.29% - 0s
H 0 0 1.8641527 1.92028 3.01% - 0s
0 0 1.92028 0 2 1.86415 1.92028 3.01% - 0s
0 0 1.87195 0 1 1.86415 1.87195 0.42% - 0s
Cutting planes:
Gomory: 1
MIR: 1
Explored 1 nodes (212 simplex iterations) in 0.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.86415 1.85906 1.85842 ... 1.50906
Optimal solution found (tolerance 1.00e-02)
Best objective 1.864152713654e+00, best bound 1.871947045306e+00, gap 0.4181%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr9jfxc5t.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2_7g4rcy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.54522
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.368588e+00, 131 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.36859 0 9 1.54522 2.36859 53.3% - 0s
0 0 2.00311 0 17 1.54522 2.00311 29.6% - 0s
0 0 1.83658 0 7 1.54522 1.83658 18.9% - 0s
H 0 0 1.7295327 1.83658 6.19% - 0s
0 0 1.83658 0 7 1.72953 1.83658 6.19% - 0s
H 0 0 1.7459674 1.83658 5.19% - 0s
H 0 0 1.7465247 1.83658 5.16% - 0s
0 0 1.83658 0 3 1.74652 1.83658 5.16% - 0s
H 0 0 1.7516133 1.83658 4.85% - 0s
0 0 1.80686 0 1 1.75161 1.80686 3.15% - 0s
0 0 1.79302 0 2 1.75161 1.79302 2.36% - 0s
0 0 1.79049 0 4 1.75161 1.79049 2.22% - 0s
0 0 1.78932 0 3 1.75161 1.78932 2.15% - 0s
0 0 1.78830 0 3 1.75161 1.78830 2.09% - 0s
0 0 1.78808 0 4 1.75161 1.78808 2.08% - 0s
0 0 1.78807 0 4 1.75161 1.78807 2.08% - 0s
Cutting planes:
Gomory: 2
MIR: 2
Flow cover: 2
Explored 1 nodes (289 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.75161 1.74652 1.74597 ... 1.54522
Optimal solution found (tolerance 1.00e-02)
Best objective 1.751613283129e+00, best bound 1.751613283129e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7mzcipiq.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6ukjoozo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.49409
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.269230e+00, 145 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.26923 0 11 1.49409 2.26923 51.9% - 0s
H 0 0 1.6275118 2.26923 39.4% - 0s
0 0 1.86744 0 21 1.62751 1.86744 14.7% - 0s
0 0 1.75477 0 9 1.62751 1.75477 7.82% - 0s
0 0 1.75477 0 10 1.62751 1.75477 7.82% - 0s
0 0 1.75477 0 12 1.62751 1.75477 7.82% - 0s
0 0 1.75477 0 12 1.62751 1.75477 7.82% - 0s
H 0 0 1.6641606 1.75477 5.44% - 0s
0 0 1.75477 0 6 1.66416 1.75477 5.44% - 0s
0 0 1.73388 0 5 1.66416 1.73388 4.19% - 0s
0 0 1.67323 0 4 1.66416 1.67323 0.55% - 0s
Cutting planes:
Gomory: 6
Implied bound: 1
MIR: 1
Flow cover: 4
Explored 1 nodes (360 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.66416 1.62751 1.49409
Optimal solution found (tolerance 1.00e-02)
Best objective 1.664160624550e+00, best bound 1.673230828845e+00, gap 0.5450%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5kiv1bdk.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdgad7o23.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [6e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.42758
Presolve removed 199 rows and 132 columns
Presolve time: 0.00s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 2.171152e+00, 163 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.17115 0 13 1.42758 2.17115 52.1% - 0s
0 0 1.75777 0 26 1.42758 1.75777 23.1% - 0s
0 0 1.66226 0 10 1.42758 1.66226 16.4% - 0s
H 0 0 1.5050157 1.66226 10.4% - 0s
0 0 1.66215 0 10 1.50502 1.66215 10.4% - 0s
0 0 1.66215 0 12 1.50502 1.66215 10.4% - 0s
0 0 1.66215 0 12 1.50502 1.66215 10.4% - 0s
H 0 0 1.5664294 1.66215 6.11% - 0s
0 0 1.66215 0 9 1.56643 1.66215 6.11% - 0s
0 0 1.63691 0 4 1.56643 1.63691 4.50% - 0s
0 0 1.62214 0 2 1.56643 1.62214 3.56% - 0s
H 0 0 1.5668056 1.62214 3.53% - 0s
0 0 1.62214 0 2 1.56681 1.62214 3.53% - 0s
0 0 1.57914 0 1 1.56681 1.57914 0.79% - 0s
Cutting planes:
Gomory: 6
Implied bound: 1
MIR: 3
Flow cover: 3
Explored 1 nodes (440 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.56681 1.56643 1.50502 1.42758
Optimal solution found (tolerance 1.00e-02)
Best objective 1.566805595617e+00, best bound 1.579143307956e+00, gap 0.7874%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_vsmbqh7.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpizwf1sjd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [5e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.35648
Presolve removed 214 rows and 141 columns
Presolve time: 0.00s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 2.187028e+00, 185 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.18703 0 16 1.35648 2.18703 61.2% - 0s
0 0 1.76305 0 32 1.35648 1.76305 30.0% - 0s
H 0 0 1.5131411 1.76305 16.5% - 0s
0 0 1.75837 0 33 1.51314 1.75837 16.2% - 0s
0 0 1.74723 0 33 1.51314 1.74723 15.5% - 0s
0 0 1.74660 0 35 1.51314 1.74660 15.4% - 0s
0 0 1.74660 0 31 1.51314 1.74660 15.4% - 0s
0 2 1.74660 0 31 1.51314 1.74660 15.4% - 0s
* 57 21 19 1.5674189 1.64229 4.78% 4.7 0s
Cutting planes:
Gomory: 8
Implied bound: 4
Flow cover: 16
Explored 122 nodes (1001 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.56742 1.51314 1.35648
Optimal solution found (tolerance 1.00e-02)
Best objective 1.567418882991e+00, best bound 1.567418882991e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsuuw9zt9.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf84bdlnu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.4093
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 2.078483e+00, 213 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.07848 0 19 1.40930 2.07848 47.5% - 0s
0 0 1.64385 0 32 1.40930 1.64385 16.6% - 0s
0 0 1.57969 0 19 1.40930 1.57969 12.1% - 0s
0 0 1.57961 0 22 1.40930 1.57961 12.1% - 0s
0 0 1.57961 0 22 1.40930 1.57961 12.1% - 0s
H 0 0 1.4621121 1.57961 8.04% - 0s
0 2 1.57961 0 22 1.46211 1.57961 8.04% - 0s
* 73 2 19 1.4621122 1.47171 0.66% 4.5 0s
Cutting planes:
Gomory: 12
Implied bound: 5
Flow cover: 17
Explored 79 nodes (719 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.46211 1.46211 1.4093
Optimal solution found (tolerance 1.00e-02)
Best objective 1.462112191971e+00, best bound 1.471706871903e+00, gap 0.6562%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplqxiw3_5.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphwl_qj0a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.33773
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.934159e+00, 232 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.93416 0 22 1.33773 1.93416 44.6% - 0s
0 0 1.50911 0 30 1.33773 1.50911 12.8% - 0s
0 0 1.44812 0 28 1.33773 1.44812 8.25% - 0s
0 0 1.44812 0 28 1.33773 1.44812 8.25% - 0s
0 0 1.43737 0 32 1.33773 1.43737 7.45% - 0s
0 0 1.43737 0 32 1.33773 1.43737 7.45% - 0s
0 0 1.43453 0 32 1.33773 1.43453 7.24% - 0s
0 0 1.43453 0 32 1.33773 1.43453 7.24% - 0s
0 2 1.43453 0 29 1.33773 1.43453 7.24% - 0s
* 107 7 23 1.3415912 1.37111 2.20% 6.4 0s
* 109 7 24 1.3486905 1.37111 1.66% 6.3 0s
* 122 0 20 1.3527592 1.35276 0.00% 6.4 0s
Cutting planes:
Gomory: 15
Implied bound: 5
MIR: 2
Flow cover: 25
Explored 126 nodes (1241 simplex iterations) in 0.15 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.35276 1.34869 1.34159 1.33773
Optimal solution found (tolerance 1.00e-02)
Best objective 1.352759237538e+00, best bound 1.352759237538e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp67dqfrj5.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3eysc7s7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19812
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.912751e+00, 263 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.91275 0 23 1.19812 1.91275 59.6% - 0s
0 0 1.46796 0 23 1.19812 1.46796 22.5% - 0s
0 0 1.46695 0 25 1.19812 1.46695 22.4% - 0s
0 0 1.46695 0 25 1.19812 1.46695 22.4% - 0s
0 2 1.46695 0 25 1.19812 1.46695 22.4% - 0s
* 647 83 35 1.3117707 1.36758 4.25% 7.2 0s
* 735 73 35 1.3213157 1.36327 3.17% 7.1 0s
* 937 0 35 1.3274843 1.34535 1.35% 6.7 0s
Cutting planes:
Gomory: 16
Implied bound: 7
Flow cover: 21
Inf proof: 15
Explored 998 nodes (6940 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.32748 1.32132 1.31177 1.19812
Optimal solution found (tolerance 1.00e-02)
Best objective 1.327484295107e+00, best bound 1.330043025420e+00, gap 0.1928%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr2q3vbr4.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5qnn1eyd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20927
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.856924e+00, 324 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.85692 0 26 1.20927 1.85692 53.6% - 0s
0 0 1.44799 0 27 1.20927 1.44799 19.7% - 0s
0 0 1.43976 0 27 1.20927 1.43976 19.1% - 0s
0 0 1.43975 0 27 1.20927 1.43975 19.1% - 0s
0 0 1.43815 0 37 1.20927 1.43815 18.9% - 0s
0 0 1.43815 0 31 1.20927 1.43815 18.9% - 0s
0 2 1.43815 0 31 1.20927 1.43815 18.9% - 0s
H 233 92 1.2124074 1.35066 11.4% 6.8 0s
* 837 136 33 1.2147067 1.32941 9.44% 7.6 0s
* 1057 77 37 1.2707297 1.31371 3.38% 7.5 0s
* 1062 71 37 1.2738156 1.31371 3.13% 7.4 0s
* 1063 67 37 1.2759284 1.31371 2.96% 7.4 0s
* 1085 26 34 1.2793073 1.31219 2.57% 7.5 0s
Cutting planes:
Gomory: 15
Cover: 5
Implied bound: 15
MIR: 3
Flow cover: 29
Inf proof: 21
Explored 1128 nodes (8919 simplex iterations) in 0.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 1.27931 1.27593 1.27382 ... 1.20927
Optimal solution found (tolerance 1.00e-02)
Best objective 1.279307260578e+00, best bound 1.291098502262e+00, gap 0.9217%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvl_izsm_.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbjcyfta6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.15493
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.829387e+00, 312 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.82939 0 29 1.15493 1.82939 58.4% - 0s
0 0 1.41624 0 31 1.15493 1.41624 22.6% - 0s
0 0 1.41624 0 31 1.15493 1.41624 22.6% - 0s
0 0 1.40728 0 30 1.15493 1.40728 21.8% - 0s
0 0 1.40728 0 30 1.15493 1.40728 21.8% - 0s
0 0 1.40692 0 34 1.15493 1.40692 21.8% - 0s
0 0 1.40692 0 32 1.15493 1.40692 21.8% - 0s
0 2 1.40692 0 32 1.15493 1.40692 21.8% - 0s
H 1662 144 1.2535876 1.28660 2.63% 8.3 0s
Cutting planes:
Gomory: 23
Cover: 8
Implied bound: 22
MIR: 4
Flow cover: 34
Inf proof: 45
Explored 1955 nodes (16581 simplex iterations) in 0.79 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.25359 1.15493
Optimal solution found (tolerance 1.00e-02)
Best objective 1.253587603050e+00, best bound 1.263919053464e+00, gap 0.8242%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdzqabmmw.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo4_m0j4i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14539
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.807046e+00, 314 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.80705 0 31 1.14539 1.80705 57.8% - 0s
0 0 1.41092 0 38 1.14539 1.41092 23.2% - 0s
0 0 1.41092 0 38 1.14539 1.41092 23.2% - 0s
0 0 1.40695 0 33 1.14539 1.40695 22.8% - 0s
0 0 1.40663 0 32 1.14539 1.40663 22.8% - 0s
0 0 1.40637 0 36 1.14539 1.40637 22.8% - 0s
0 0 1.40637 0 36 1.14539 1.40637 22.8% - 0s
0 2 1.40637 0 36 1.14539 1.40637 22.8% - 0s
* 1862 378 43 1.1567754 1.26840 9.65% 8.1 0s
* 2111 240 40 1.2250979 1.26561 3.31% 8.0 0s
H 2522 130 1.2290240 1.25344 1.99% 8.0 1s
* 2718 50 37 1.2313667 1.24219 0.88% 7.9 1s
* 2728 11 36 1.2380403 1.24219 0.34% 7.9 1s
Cutting planes:
Gomory: 25
Cover: 28
Implied bound: 22
MIR: 1
Flow cover: 38
Inf proof: 33
Explored 2744 nodes (22205 simplex iterations) in 1.16 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 1.23804 1.23137 1.22902 ... 1.14539
Optimal solution found (tolerance 1.00e-02)
Best objective 1.238040279487e+00, best bound 1.240057048501e+00, gap 0.1629%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphq_jvo7v.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp90fgl94.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12353
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.781079e+00, 365 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.78108 0 35 1.12353 1.78108 58.5% - 0s
0 0 1.39741 0 41 1.12353 1.39741 24.4% - 0s
0 0 1.39741 0 41 1.12353 1.39741 24.4% - 0s
0 0 1.39548 0 41 1.12353 1.39548 24.2% - 0s
0 0 1.39548 0 37 1.12353 1.39548 24.2% - 0s
0 2 1.39548 0 37 1.12353 1.39548 24.2% - 0s
H 2187 422 1.2045654 1.27897 6.18% 8.9 1s
Cutting planes:
Gomory: 28
Cover: 3
Implied bound: 4
Projected implied bound: 7
MIR: 3
Flow cover: 17
Inf proof: 7
Explored 2540 nodes (23655 simplex iterations) in 1.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.20457 1.12353
Optimal solution found (tolerance 1.00e-02)
Best objective 1.204565391148e+00, best bound 1.204565391148e+00, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyy124qmt.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm9mrrjtr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11136
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.735382e+00, 383 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73538 0 40 1.11136 1.73538 56.1% - 0s
0 0 1.35874 0 47 1.11136 1.35874 22.3% - 0s
0 0 1.35874 0 47 1.11136 1.35874 22.3% - 0s
0 0 1.35687 0 47 1.11136 1.35687 22.1% - 0s
0 0 1.35687 0 43 1.11136 1.35687 22.1% - 0s
0 2 1.35687 0 42 1.11136 1.35687 22.1% - 0s
H 169 113 1.1230989 1.27132 13.2% 8.2 0s
H 807 204 1.1643187 1.22607 5.30% 8.1 0s
Cutting planes:
Gomory: 27
Cover: 7
Implied bound: 13
MIR: 3
Flow cover: 38
Inf proof: 22
Explored 2439 nodes (22063 simplex iterations) in 1.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.16432 1.1231 1.11136
Optimal solution found (tolerance 1.00e-02)
Best objective 1.164318691619e+00, best bound 1.173890281834e+00, gap 0.8221%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1i3tuot4.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp00wvg4qo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08933
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.649718e+00, 406 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.64972 0 43 1.08933 1.64972 51.4% - 0s
0 0 1.28369 0 46 1.08933 1.28369 17.8% - 0s
0 0 1.28355 0 47 1.08933 1.28355 17.8% - 0s
0 0 1.28214 0 48 1.08933 1.28214 17.7% - 0s
0 0 1.28214 0 46 1.08933 1.28214 17.7% - 0s
0 2 1.28214 0 45 1.08933 1.28214 17.7% - 0s
* 1561 59 51 1.0895346 1.10450 1.37% 8.6 0s
* 1598 44 51 1.0937030 1.10435 0.97% 8.5 0s
Cutting planes:
Gomory: 23
Cover: 5
Implied bound: 14
MIR: 1
Flow cover: 36
Inf proof: 16
Explored 1656 nodes (14769 simplex iterations) in 0.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.0937 1.08953 1.08933
Optimal solution found (tolerance 1.00e-02)
Best objective 1.093703012046e+00, best bound 1.104343249294e+00, gap 0.9729%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsmucvt6b.pyomo.lp
Reading time = 0.00 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf5skecxc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.03056
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.567364e+00, 441 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.56736 0 42 1.03056 1.56736 52.1% - 0s
0 0 1.21201 0 48 1.03056 1.21201 17.6% - 0s
0 0 1.21201 0 48 1.03056 1.21201 17.6% - 0s
0 0 1.21032 0 50 1.03056 1.21032 17.4% - 0s
0 0 1.21032 0 46 1.03056 1.21032 17.4% - 0s
0 2 1.21032 0 45 1.03056 1.21032 17.4% - 0s
H 1748 128 1.0326138 1.04914 1.60% 8.0 0s
H 1960 86 1.0326138 1.04735 1.43% 8.0 0s
Cutting planes:
Gomory: 23
Cover: 4
Implied bound: 23
Flow cover: 33
Inf proof: 7
Explored 2078 nodes (17060 simplex iterations) in 0.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.03261 1.03261 1.03056
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (7.7628e-06) exceeds tolerance
Best objective 1.032613824758e+00, best bound 1.041798065818e+00, gap 0.8894%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpj8mythdm.pyomo.lp
Reading time = 0.00 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpabnwh8ra.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.987901
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.495782e+00, 461 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49578 0 41 0.98790 1.49578 51.4% - 0s
0 0 1.15750 0 49 0.98790 1.15750 17.2% - 0s
0 0 1.15750 0 49 0.98790 1.15750 17.2% - 0s
0 0 1.15589 0 49 0.98790 1.15589 17.0% - 0s
0 0 1.15589 0 49 0.98790 1.15589 17.0% - 0s
0 2 1.15589 0 47 0.98790 1.15589 17.0% - 0s
Cutting planes:
Gomory: 21
Cover: 3
Implied bound: 17
Flow cover: 35
Inf proof: 23
Explored 2656 nodes (23698 simplex iterations) in 1.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.987901
Optimal solution found (tolerance 1.00e-02)
Best objective 9.879011178561e-01, best bound 9.975254778665e-01, gap 0.9742%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvlybjxie.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpj93dvulr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [3e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99287
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.444358e+00, 495 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44436 0 46 0.99287 1.44436 45.5% - 0s
0 0 1.15678 0 53 0.99287 1.15678 16.5% - 0s
0 0 1.15667 0 54 0.99287 1.15667 16.5% - 0s
0 0 1.15512 0 56 0.99287 1.15512 16.3% - 0s
0 0 1.15512 0 51 0.99287 1.15512 16.3% - 0s
0 2 1.15512 0 51 0.99287 1.15512 16.3% - 0s
H 3583 216 0.9928697 1.00323 1.04% 9.2 1s
Cutting planes:
Gomory: 23
Cover: 13
Implied bound: 22
Flow cover: 41
Inf proof: 40
Explored 3661 nodes (34315 simplex iterations) in 1.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.99287 0.99287
Optimal solution found (tolerance 1.00e-02)
Best objective 9.928697395335e-01, best bound 1.001115113123e+00, gap 0.8305%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvl3jzbwb.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0y_cfqb3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.992191
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.422687e+00, 535 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42269 0 47 0.99219 1.42269 43.4% - 0s
0 0 1.18362 0 61 0.99219 1.18362 19.3% - 0s
0 0 1.17308 0 56 0.99219 1.17308 18.2% - 0s
0 0 1.17165 0 60 0.99219 1.17165 18.1% - 0s
0 0 1.17156 0 58 0.99219 1.17156 18.1% - 0s
0 0 1.17151 0 60 0.99219 1.17151 18.1% - 0s
0 0 1.17151 0 57 0.99219 1.17151 18.1% - 0s
0 2 1.17151 0 56 0.99219 1.17151 18.1% - 0s
Cutting planes:
Gomory: 47
Cover: 8
Implied bound: 7
Projected implied bound: 17
MIR: 2
Flow cover: 34
Inf proof: 9
Explored 3116 nodes (36142 simplex iterations) in 2.90 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.992191
Optimal solution found (tolerance 1.00e-02)
Best objective 9.921911303937e-01, best bound 9.954386484876e-01, gap 0.3273%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7oj3bjeo.pyomo.lp
Reading time = 0.00 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1u2w9n67.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.971657
Presolve removed 410 rows and 267 columns
Presolve time: 0.01s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.363298e+00, 552 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36330 0 54 0.97166 1.36330 40.3% - 0s
0 0 1.19433 0 75 0.97166 1.19433 22.9% - 0s
0 0 1.19433 0 75 0.97166 1.19433 22.9% - 0s
0 0 1.19148 0 79 0.97166 1.19148 22.6% - 0s
0 0 1.19143 0 80 0.97166 1.19143 22.6% - 0s
0 0 1.18534 0 83 0.97166 1.18534 22.0% - 0s
0 0 1.18526 0 83 0.97166 1.18526 22.0% - 0s
0 0 1.18299 0 84 0.97166 1.18299 21.7% - 0s
0 0 1.18284 0 83 0.97166 1.18284 21.7% - 0s
0 0 1.18284 0 84 0.97166 1.18284 21.7% - 0s
0 0 1.18245 0 84 0.97166 1.18245 21.7% - 0s
0 0 1.18245 0 71 0.97166 1.18245 21.7% - 0s
0 2 1.18245 0 70 0.97166 1.18245 21.7% - 0s
Cutting planes:
Gomory: 54
Cover: 6
Implied bound: 5
Projected implied bound: 18
MIR: 3
Flow cover: 34
Inf proof: 32
Explored 3654 nodes (43230 simplex iterations) in 3.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.971657
Optimal solution found (tolerance 1.00e-02)
Best objective 9.716571037255e-01, best bound 9.777931361608e-01, gap 0.6315%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpupqp1pvt.pyomo.lp
Reading time = 0.00 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuq3mico3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.949942
Presolve removed 424 rows and 276 columns
Presolve time: 0.01s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.327133e+00, 540 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32713 0 55 0.94994 1.32713 39.7% - 0s
0 0 1.20219 0 71 0.94994 1.20219 26.6% - 0s
0 0 1.20210 0 72 0.94994 1.20210 26.5% - 0s
0 0 1.19871 0 79 0.94994 1.19871 26.2% - 0s
0 0 1.19865 0 79 0.94994 1.19865 26.2% - 0s
0 0 1.19438 0 79 0.94994 1.19438 25.7% - 0s
0 0 1.19438 0 79 0.94994 1.19438 25.7% - 0s
0 0 1.19438 0 67 0.94994 1.19438 25.7% - 0s
0 2 1.19438 0 66 0.94994 1.19438 25.7% - 0s
* 4447 583 89 0.9507755 0.97979 3.05% 13.9 4s
* 4448 583 89 0.9508247 0.97979 3.05% 13.9 4s
4601 537 0.97233 33 66 0.95082 0.97767 2.82% 13.9 5s
* 5487 228 87 0.9512726 0.96171 1.10% 13.8 5s
Cutting planes:
Gomory: 66
Cover: 1
Implied bound: 9
Projected implied bound: 15
MIR: 7
Flow cover: 39
Inf proof: 27
Explored 5640 nodes (77949 simplex iterations) in 5.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.951273 0.950825 0.950775 0.949942
Optimal solution found (tolerance 1.00e-02)
Best objective 9.512726210564e-01, best bound 9.559749712604e-01, gap 0.4943%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps8pdw9az.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2t76cmv8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.94252
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.289889e+00, 639 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.28989 0 62 0.94252 1.28989 36.9% - 0s
0 0 1.18041 0 74 0.94252 1.18041 25.2% - 0s
0 0 1.18041 0 74 0.94252 1.18041 25.2% - 0s
0 0 1.17850 0 76 0.94252 1.17850 25.0% - 0s
0 0 1.17849 0 77 0.94252 1.17849 25.0% - 0s
0 0 1.16989 0 81 0.94252 1.16989 24.1% - 0s
0 0 1.16989 0 81 0.94252 1.16989 24.1% - 0s
0 0 1.16487 0 81 0.94252 1.16487 23.6% - 0s
0 0 1.16487 0 81 0.94252 1.16487 23.6% - 0s
0 0 1.16487 0 72 0.94252 1.16487 23.6% - 0s
0 2 1.16487 0 72 0.94252 1.16487 23.6% - 0s
4479 532 0.96011 53 44 0.94252 0.96267 2.14% 13.5 5s
H 4825 465 0.9425204 0.95909 1.76% 13.7 5s
Cutting planes:
Gomory: 56
Cover: 4
Implied bound: 9
Projected implied bound: 14
Clique: 1
MIR: 9
Flow cover: 38
Inf proof: 30
Explored 5435 nodes (76931 simplex iterations) in 5.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.94252 0.94252
Optimal solution found (tolerance 1.00e-02)
Best objective 9.425203778913e-01, best bound 9.487388428128e-01, gap 0.6598%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpit4_rfn9.pyomo.lp
Reading time = 0.00 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvf4pf090.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.920935
Presolve removed 452 rows and 294 columns
Presolve time: 0.01s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.251148e+00, 661 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25115 0 59 0.92094 1.25115 35.9% - 0s
0 0 1.13749 0 72 0.92094 1.13749 23.5% - 0s
0 0 1.13749 0 72 0.92094 1.13749 23.5% - 0s
0 0 1.13555 0 76 0.92094 1.13555 23.3% - 0s
0 0 1.13547 0 75 0.92094 1.13547 23.3% - 0s
0 0 1.13160 0 75 0.92094 1.13160 22.9% - 0s
0 0 1.13146 0 77 0.92094 1.13146 22.9% - 0s
0 0 1.13123 0 73 0.92094 1.13123 22.8% - 0s
0 0 1.13123 0 62 0.92094 1.13123 22.8% - 0s
0 2 1.13123 0 62 0.92094 1.13123 22.8% - 0s
4281 295 cutoff 38 0.92094 0.93986 2.06% 13.4 5s
Cutting planes:
Gomory: 50
Cover: 1
Implied bound: 8
Projected implied bound: 17
Clique: 1
MIR: 8
Flow cover: 31
Inf proof: 36
Explored 4961 nodes (63890 simplex iterations) in 5.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.920935
Optimal solution found (tolerance 1.00e-02)
Best objective 9.209350054580e-01, best bound 9.282628561578e-01, gap 0.7957%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2p0m9ccz.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmj7euuet.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906669
Presolve removed 466 rows and 303 columns
Presolve time: 0.01s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.209384e+00, 647 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20938 0 58 0.90667 1.20938 33.4% - 0s
0 0 1.10626 0 74 0.90667 1.10626 22.0% - 0s
0 0 1.10626 0 74 0.90667 1.10626 22.0% - 0s
0 0 1.09827 0 76 0.90667 1.09827 21.1% - 0s
0 0 1.09812 0 74 0.90667 1.09812 21.1% - 0s
0 0 1.09764 0 83 0.90667 1.09764 21.1% - 0s
0 0 1.09764 0 68 0.90667 1.09764 21.1% - 0s
0 2 1.09764 0 68 0.90667 1.09764 21.1% - 0s
* 2808 405 102 0.9066751 0.95664 5.51% 16.2 3s
3987 527 cutoff 33 0.90668 0.94224 3.92% 15.4 5s
Cutting planes:
Gomory: 63
Cover: 4
Implied bound: 7
Projected implied bound: 19
MIR: 13
Flow cover: 42
Inf proof: 36
Explored 5946 nodes (90346 simplex iterations) in 6.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.906675 0.906669
Optimal solution found (tolerance 1.00e-02)
Best objective 9.066750685545e-01, best bound 9.126630987155e-01, gap 0.6604%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3rbx5ai2.pyomo.lp
Reading time = 0.00 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2natqtm9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.900586
Presolve removed 480 rows and 312 columns
Presolve time: 0.01s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.198229e+00, 696 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19823 0 61 0.90059 1.19823 33.0% - 0s
0 0 1.10003 0 75 0.90059 1.10003 22.1% - 0s
0 0 1.10003 0 75 0.90059 1.10003 22.1% - 0s
0 0 1.09422 0 82 0.90059 1.09422 21.5% - 0s
0 0 1.09409 0 77 0.90059 1.09409 21.5% - 0s
0 0 1.09357 0 85 0.90059 1.09357 21.4% - 0s
0 0 1.09357 0 67 0.90059 1.09357 21.4% - 0s
0 2 1.09357 0 67 0.90059 1.09357 21.4% - 0s
3427 703 cutoff 27 0.90059 0.96359 7.00% 18.8 5s
H 3577 739 0.9005864 0.96096 6.70% 18.8 5s
* 7569 711 97 0.9034717 0.92698 2.60% 18.7 9s
* 7572 689 97 0.9041417 0.92698 2.53% 18.7 9s
* 7579 672 98 0.9048193 0.92698 2.45% 18.7 9s
8252 555 cutoff 37 0.90482 0.91859 1.52% 18.6 10s
* 8547 616 96 0.9053592 0.91858 1.46% 18.4 10s
* 8811 590 97 0.9057221 0.91644 1.18% 18.2 10s
Cutting planes:
Gomory: 60
Cover: 1
Implied bound: 16
Projected implied bound: 13
Clique: 2
MIR: 11
Flow cover: 44
Inf proof: 57
Explored 9063 nodes (164446 simplex iterations) in 10.53 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.905722 0.905359 0.904819 ... 0.900586
Optimal solution found (tolerance 1.00e-02)
Best objective 9.057221390156e-01, best bound 9.130609698288e-01, gap 0.8103%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz13bsfeq.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw43ut0h4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.90797
Presolve removed 494 rows and 321 columns
Presolve time: 0.01s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.185781e+00, 726 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18578 0 68 0.90797 1.18578 30.6% - 0s
0 0 1.09180 0 84 0.90797 1.09180 20.2% - 0s
0 0 1.09180 0 84 0.90797 1.09180 20.2% - 0s
0 0 1.08503 0 93 0.90797 1.08503 19.5% - 0s
0 0 1.08483 0 87 0.90797 1.08483 19.5% - 0s
0 0 1.08432 0 97 0.90797 1.08432 19.4% - 0s
0 0 1.08432 0 73 0.90797 1.08432 19.4% - 0s
0 2 1.08432 0 72 0.90797 1.08432 19.4% - 0s
2730 590 0.94247 28 63 0.90797 0.98712 8.72% 18.7 5s
H 3245 710 0.9086673 0.97932 7.78% 19.0 5s
6007 850 cutoff 44 0.90867 0.94964 4.51% 20.7 10s
* 9830 320 90 0.9087086 0.91926 1.16% 20.2 14s
Cutting planes:
Gomory: 61
Cover: 2
Implied bound: 16
Projected implied bound: 31
Clique: 1
MIR: 8
Flow cover: 59
Inf proof: 63
Explored 10107 nodes (201496 simplex iterations) in 14.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.908709 0.908667 0.90797
Optimal solution found (tolerance 1.00e-02)
Best objective 9.087085743232e-01, best bound 9.164612564833e-01, gap 0.8532%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnpleoosm.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps2m7gc3k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895497
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.166475e+00, 740 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16648 0 72 0.89550 1.16648 30.3% - 0s
0 0 1.08936 0 86 0.89550 1.08936 21.6% - 0s
0 0 1.08936 0 86 0.89550 1.08936 21.6% - 0s
0 0 1.08259 0 86 0.89550 1.08259 20.9% - 0s
0 0 1.08254 0 87 0.89550 1.08254 20.9% - 0s
0 0 1.08229 0 92 0.89550 1.08229 20.9% - 0s
0 0 1.08229 0 73 0.89550 1.08229 20.9% - 0s
0 2 1.08229 0 72 0.89550 1.08229 20.9% - 0s
3508 574 0.92546 24 78 0.89550 0.93527 4.44% 16.5 5s
Cutting planes:
Gomory: 71
Cover: 4
Implied bound: 16
Projected implied bound: 28
Clique: 2
MIR: 11
Flow cover: 49
Inf proof: 46
Explored 6533 nodes (102543 simplex iterations) in 7.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.895497
Optimal solution found (tolerance 1.00e-02)
Best objective 8.954968039581e-01, best bound 9.030770189359e-01, gap 0.8465%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppi_llyew.pyomo.lp
Reading time = 0.00 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpskexxpp4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895581
Presolve removed 522 rows and 339 columns
Presolve time: 0.01s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.164168e+00, 800 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16417 0 72 0.89558 1.16417 30.0% - 0s
0 0 1.09763 0 83 0.89558 1.09763 22.6% - 0s
0 0 1.09763 0 83 0.89558 1.09763 22.6% - 0s
0 0 1.08349 0 86 0.89558 1.08349 21.0% - 0s
0 0 1.08316 0 89 0.89558 1.08316 20.9% - 0s
0 0 1.08279 0 90 0.89558 1.08279 20.9% - 0s
0 0 1.08278 0 90 0.89558 1.08278 20.9% - 0s
0 0 1.08186 0 91 0.89558 1.08186 20.8% - 0s
0 0 1.08111 0 93 0.89558 1.08111 20.7% - 0s
0 0 1.08110 0 94 0.89558 1.08110 20.7% - 0s
0 0 1.08110 0 93 0.89558 1.08110 20.7% - 0s
0 0 1.08110 0 79 0.89558 1.08110 20.7% - 0s
0 2 1.08110 0 79 0.89558 1.08110 20.7% - 0s
2403 612 infeasible 35 0.89558 0.97370 8.72% 17.8 5s
5350 803 cutoff 33 0.89558 0.94806 5.86% 21.9 10s
Cutting planes:
Gomory: 51
Implied bound: 21
Projected implied bound: 24
MIR: 9
Flow cover: 40
Inf proof: 75
Explored 8529 nodes (190531 simplex iterations) in 14.14 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.895581
Optimal solution found (tolerance 1.00e-02)
Best objective 8.955814076435e-01, best bound 9.040939671771e-01, gap 0.9505%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmps0828z3f.pyomo.lp
Reading time = 0.00 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_0ys7tkb.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.890269
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.150689e+00, 766 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15069 0 74 0.89027 1.15069 29.3% - 0s
0 0 1.08558 0 92 0.89027 1.08558 21.9% - 0s
0 0 1.08558 0 92 0.89027 1.08558 21.9% - 0s
0 0 1.07899 0 91 0.89027 1.07899 21.2% - 0s
0 0 1.07894 0 91 0.89027 1.07894 21.2% - 0s
0 0 1.07870 0 96 0.89027 1.07870 21.2% - 0s
0 0 1.07865 0 97 0.89027 1.07865 21.2% - 0s
0 0 1.07859 0 98 0.89027 1.07859 21.2% - 0s
0 0 1.07771 0 98 0.89027 1.07771 21.1% - 0s
0 0 1.07771 0 87 0.89027 1.07771 21.1% - 0s
0 2 1.07771 0 87 0.89027 1.07771 21.1% - 0s
2420 350 cutoff 33 0.89027 0.94256 5.87% 19.1 5s
6602 698 cutoff 60 0.89027 0.89973 1.06% 17.4 10s
Cutting planes:
Gomory: 58
Cover: 1
Implied bound: 6
Projected implied bound: 30
Clique: 1
MIR: 12
Flow cover: 41
Inf proof: 47
Explored 6942 nodes (119876 simplex iterations) in 10.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.890269
Optimal solution found (tolerance 1.00e-02)
Best objective 8.902689211046e-01, best bound 8.990352418341e-01, gap 0.9847%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp50pglv1d.pyomo.lp
Reading time = 0.00 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuua8734f.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.887496
Presolve removed 550 rows and 357 columns
Presolve time: 0.01s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.143625e+00, 776 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14363 0 78 0.88750 1.14363 28.9% - 0s
0 0 1.08656 0 96 0.88750 1.08656 22.4% - 0s
0 0 1.08656 0 96 0.88750 1.08656 22.4% - 0s
0 0 1.07819 0 96 0.88750 1.07819 21.5% - 0s
0 0 1.07802 0 96 0.88750 1.07802 21.5% - 0s
0 0 1.07773 0 98 0.88750 1.07773 21.4% - 0s
0 0 1.07749 0 98 0.88750 1.07749 21.4% - 0s
0 0 1.07689 0 100 0.88750 1.07689 21.3% - 0s
0 0 1.07688 0 100 0.88750 1.07688 21.3% - 0s
0 0 1.07688 0 85 0.88750 1.07688 21.3% - 0s
0 2 1.07688 0 85 0.88750 1.07688 21.3% - 0s
2559 430 0.92226 34 68 0.88750 0.93125 4.93% 18.2 5s
H 3196 545 0.8874958 0.92408 4.12% 18.0 6s
Cutting planes:
Gomory: 62
Cover: 3
Implied bound: 14
Projected implied bound: 33
MIR: 6
Flow cover: 45
Inf proof: 49
Explored 6421 nodes (118241 simplex iterations) in 10.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.887496 0.887496
Optimal solution found (tolerance 1.00e-02)
Best objective 8.874958406487e-01, best bound 8.940595918837e-01, gap 0.7396%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvztemh4o.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmmq8h5vd.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.879125
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.131642e+00, 783 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13164 0 84 0.87912 1.13164 28.7% - 0s
0 0 1.08101 0 91 0.87912 1.08101 23.0% - 0s
0 0 1.08092 0 91 0.87912 1.08092 23.0% - 0s
0 0 1.07543 0 94 0.87912 1.07543 22.3% - 0s
0 0 1.07526 0 97 0.87912 1.07526 22.3% - 0s
0 0 1.07499 0 104 0.87912 1.07499 22.3% - 0s
0 0 1.07499 0 104 0.87912 1.07499 22.3% - 0s
0 0 1.07330 0 102 0.87912 1.07330 22.1% - 0s
0 0 1.07263 0 105 0.87912 1.07263 22.0% - 0s
0 0 1.07213 0 105 0.87912 1.07213 22.0% - 0s
0 0 1.07213 0 105 0.87912 1.07213 22.0% - 0s
0 0 1.07213 0 89 0.87912 1.07213 22.0% - 0s
0 2 1.07213 0 89 0.87912 1.07213 22.0% - 0s
2339 617 cutoff 29 0.87912 0.96154 9.37% 22.3 5s
H 2658 720 0.8791250 0.95858 9.04% 22.5 6s
5900 1143 cutoff 29 0.87912 0.93115 5.92% 24.7 10s
9916 1152 0.89031 34 81 0.87912 0.90739 3.22% 23.4 15s
Cutting planes:
Gomory: 36
Cover: 3
Implied bound: 11
Projected implied bound: 24
Clique: 2
MIR: 7
Flow cover: 20
Inf proof: 16
Explored 14115 nodes (295008 simplex iterations) in 19.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.879125 0.879125
Optimal solution found (tolerance 1.00e-02)
Best objective 8.791249558434e-01, best bound 8.862477623723e-01, gap 0.8102%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp79zl_jsb.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2d5bajwj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.875254
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.120239e+00, 896 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12024 0 83 0.87525 1.12024 28.0% - 0s
0 0 1.07138 0 88 0.87525 1.07138 22.4% - 0s
0 0 1.07131 0 88 0.87525 1.07131 22.4% - 0s
0 0 1.06547 0 90 0.87525 1.06547 21.7% - 0s
0 0 1.06538 0 94 0.87525 1.06538 21.7% - 0s
0 0 1.06510 0 96 0.87525 1.06510 21.7% - 0s
0 0 1.06510 0 96 0.87525 1.06510 21.7% - 0s
0 0 1.06497 0 101 0.87525 1.06497 21.7% - 0s
0 0 1.06490 0 94 0.87525 1.06490 21.7% - 0s
0 0 1.06472 0 95 0.87525 1.06472 21.6% - 0s
0 0 1.06462 0 96 0.87525 1.06462 21.6% - 0s
0 0 1.06437 0 97 0.87525 1.06437 21.6% - 0s
0 0 1.06437 0 98 0.87525 1.06437 21.6% - 0s
0 0 1.06433 0 97 0.87525 1.06433 21.6% - 0s
0 0 1.06433 0 88 0.87525 1.06433 21.6% - 0s
0 2 1.06433 0 88 0.87525 1.06433 21.6% - 0s
2331 622 cutoff 37 0.87525 0.93994 7.39% 19.5 5s
H 3825 1063 0.8759068 0.92034 5.07% 19.5 6s
5837 1170 cutoff 32 0.87591 0.90745 3.60% 19.2 10s
Cutting planes:
Gomory: 35
Cover: 2
Implied bound: 6
Projected implied bound: 23
Clique: 1
MIR: 4
Flow cover: 21
Inf proof: 7
Explored 9521 nodes (163925 simplex iterations) in 13.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.875907 0.875254
Optimal solution found (tolerance 1.00e-02)
Best objective 8.759068312686e-01, best bound 8.827655819752e-01, gap 0.7830%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnde1480n.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp0443xzu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [2e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864169
Presolve removed 592 rows and 384 columns
Presolve time: 0.02s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.099320e+00, 868 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09932 0 91 0.86417 1.09932 27.2% - 0s
0 0 1.05367 0 106 0.86417 1.05367 21.9% - 0s
0 0 1.05367 0 106 0.86417 1.05367 21.9% - 0s
0 0 1.04636 0 106 0.86417 1.04636 21.1% - 0s
0 0 1.04626 0 108 0.86417 1.04626 21.1% - 0s
0 0 1.04576 0 110 0.86417 1.04576 21.0% - 0s
0 0 1.04576 0 110 0.86417 1.04576 21.0% - 0s
0 0 1.04572 0 109 0.86417 1.04572 21.0% - 0s
0 0 1.04566 0 110 0.86417 1.04566 21.0% - 0s
0 0 1.04566 0 112 0.86417 1.04566 21.0% - 0s
0 0 1.04566 0 106 0.86417 1.04566 21.0% - 0s
0 2 1.04566 0 102 0.86417 1.04566 21.0% - 0s
2777 559 infeasible 52 0.86417 0.89898 4.03% 17.0 5s
Cutting planes:
Gomory: 66
Cover: 2
Implied bound: 15
Projected implied bound: 35
Clique: 1
MIR: 8
Flow cover: 54
Inf proof: 46
Explored 6438 nodes (115345 simplex iterations) in 9.58 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.864169
Optimal solution found (tolerance 1.00e-02)
Best objective 8.641690083398e-01, best bound 8.710140864829e-01, gap 0.7921%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxgpnh30w.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqc5s6hfl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.86159
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.087309e+00, 889 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08731 0 88 0.86159 1.08731 26.2% - 0s
0 0 1.04471 0 98 0.86159 1.04471 21.3% - 0s
0 0 1.04471 0 97 0.86159 1.04471 21.3% - 0s
0 0 1.03755 0 95 0.86159 1.03755 20.4% - 0s
0 0 1.03714 0 96 0.86159 1.03714 20.4% - 0s
0 0 1.03650 0 97 0.86159 1.03650 20.3% - 0s
0 0 1.03649 0 97 0.86159 1.03649 20.3% - 0s
0 0 1.03647 0 97 0.86159 1.03647 20.3% - 0s
0 0 1.03642 0 98 0.86159 1.03642 20.3% - 0s
0 0 1.03642 0 88 0.86159 1.03642 20.3% - 0s
0 2 1.03642 0 88 0.86159 1.03642 20.3% - 0s
2098 450 0.89866 29 89 0.86159 0.91497 6.20% 19.6 5s
H 3639 642 0.8615905 0.90011 4.47% 18.7 7s
5730 297 cutoff 47 0.86159 0.87424 1.47% 18.6 10s
Cutting planes:
Gomory: 37
Implied bound: 5
Projected implied bound: 29
MIR: 1
Flow cover: 26
Inf proof: 9
Explored 5947 nodes (110549 simplex iterations) in 10.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.86159 0.86159
Optimal solution found (tolerance 1.00e-02)
Best objective 8.615904520916e-01, best bound 8.701091142038e-01, gap 0.9887%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp68l0f6re.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt_z32isv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.846005
Presolve removed 620 rows and 402 columns
Presolve time: 0.02s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.059681e+00, 921 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05968 0 91 0.84600 1.05968 25.3% - 0s
0 0 1.02044 0 102 0.84600 1.02044 20.6% - 0s
0 0 1.02044 0 101 0.84600 1.02044 20.6% - 0s
0 0 1.01222 0 97 0.84600 1.01222 19.6% - 0s
0 0 1.01217 0 97 0.84600 1.01217 19.6% - 0s
0 0 1.01153 0 101 0.84600 1.01153 19.6% - 0s
0 0 1.01144 0 102 0.84600 1.01144 19.6% - 0s
0 0 1.01144 0 104 0.84600 1.01144 19.6% - 0s
0 0 1.01144 0 89 0.84600 1.01144 19.6% - 0s
0 2 1.01144 0 89 0.84600 1.01144 19.6% - 0s
2088 638 0.86695 46 77 0.84600 0.89562 5.86% 18.1 5s
5006 1003 0.87263 29 100 0.84600 0.87859 3.85% 20.7 10s
7324 729 infeasible 34 0.84600 0.86792 2.59% 24.5 15s
Cutting planes:
Gomory: 78
Cover: 2
Implied bound: 15
Projected implied bound: 37
MIR: 7
Flow cover: 60
Inf proof: 64
Explored 9422 nodes (236979 simplex iterations) in 19.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.846005
Optimal solution found (tolerance 1.00e-02)
Best objective 8.460048446725e-01, best bound 8.539391789180e-01, gap 0.9379%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8cayq1y9.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplcay7s1m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.815027
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.052452e+00, 925 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05245 0 92 0.81503 1.05245 29.1% - 0s
0 0 1.01533 0 114 0.81503 1.01533 24.6% - 0s
0 0 1.01533 0 113 0.81503 1.01533 24.6% - 0s
0 0 1.00963 0 112 0.81503 1.00963 23.9% - 0s
0 0 1.00952 0 112 0.81503 1.00952 23.9% - 0s
0 0 1.00922 0 116 0.81503 1.00922 23.8% - 0s
0 0 1.00903 0 119 0.81503 1.00903 23.8% - 0s
0 0 1.00894 0 121 0.81503 1.00894 23.8% - 0s
0 0 1.00894 0 121 0.81503 1.00894 23.8% - 0s
0 0 1.00890 0 123 0.81503 1.00890 23.8% - 0s
0 0 1.00881 0 125 0.81503 1.00881 23.8% - 0s
0 0 1.00877 0 124 0.81503 1.00877 23.8% - 0s
0 0 1.00877 0 115 0.81503 1.00877 23.8% - 0s
0 2 1.00877 0 114 0.81503 1.00877 23.8% - 0s
H 746 529 0.8160824 0.94120 15.3% 15.6 1s
1706 680 0.89307 31 82 0.81608 0.91569 12.2% 20.4 5s
H 4111 978 0.8302878 0.88807 6.96% 21.4 9s
4655 997 0.86000 50 68 0.83029 0.88251 6.29% 22.3 10s
H 5821 1157 0.8302878 0.87547 5.44% 22.1 11s
7299 1265 cutoff 22 0.83029 0.86740 4.47% 22.0 15s
H 9556 1489 0.8302878 0.85708 3.23% 21.1 17s
11206 1656 infeasible 54 0.83029 0.85118 2.52% 20.2 20s
16748 2817 cutoff 78 0.83029 0.84389 1.64% 17.1 25s
*16973 2791 119 0.8310496 0.84389 1.54% 17.0 25s
*17591 2804 124 0.8312380 0.84318 1.44% 16.7 26s
*18667 2834 128 0.8317663 0.84266 1.31% 16.3 27s
21177 2787 0.83201 91 53 0.83177 0.84067 1.07% 15.4 30s
Cutting planes:
Gomory: 42
Implied bound: 3
Projected implied bound: 30
MIR: 3
Flow cover: 28
Inf proof: 17
Explored 22026 nodes (336892 simplex iterations) in 30.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.831766 0.831238 0.83105 ... 0.815027
Optimal solution found (tolerance 1.00e-02)
Best objective 8.317662630961e-01, best bound 8.399778187661e-01, gap 0.9872%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp57xqpjoz.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3eclqxb0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.805362
Presolve removed 648 rows and 420 columns
Presolve time: 0.02s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.046020e+00, 989 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04602 0 95 0.80536 1.04602 29.9% - 0s
0 0 1.01052 0 119 0.80536 1.01052 25.5% - 0s
0 0 1.01052 0 118 0.80536 1.01052 25.5% - 0s
0 0 1.00518 0 120 0.80536 1.00518 24.8% - 0s
0 0 1.00506 0 119 0.80536 1.00506 24.8% - 0s
0 0 1.00460 0 114 0.80536 1.00460 24.7% - 0s
0 0 1.00460 0 118 0.80536 1.00460 24.7% - 0s
0 0 1.00460 0 120 0.80536 1.00460 24.7% - 0s
0 0 1.00457 0 124 0.80536 1.00457 24.7% - 0s
0 0 1.00457 0 112 0.80536 1.00457 24.7% - 0s
0 2 1.00457 0 112 0.80536 1.00457 24.7% - 0s
1824 535 0.86051 36 83 0.80536 0.90307 12.1% 22.0 5s
H 3375 1061 0.8053644 0.88657 10.1% 20.2 7s
H 3665 1144 0.8054065 0.88470 9.84% 20.3 8s
H 3672 1123 0.8092116 0.88470 9.33% 20.3 8s
4867 1444 0.81992 40 81 0.80921 0.87609 8.26% 20.7 10s
H 5337 1448 0.8164570 0.87241 6.85% 20.9 11s
7744 1848 0.83538 43 87 0.81646 0.86207 5.59% 21.2 15s
H 9566 1966 0.8164570 0.85621 4.87% 21.0 18s
10792 1996 0.84801 45 71 0.81646 0.85094 4.22% 20.8 20s
H13912 2164 0.8166309 0.84309 3.24% 20.2 24s
14025 2104 cutoff 45 0.81663 0.84309 3.24% 20.2 25s
*16500 2144 143 0.8175088 0.83735 2.43% 19.4 28s
18050 2590 0.82851 83 54 0.81751 0.83590 2.25% 18.6 30s
*18321 2549 135 0.8187468 0.83588 2.09% 18.5 30s
*21313 2334 128 0.8213786 0.83383 1.52% 17.7 32s
23028 1951 0.82362 92 49 0.82138 0.83066 1.13% 17.4 35s
Cutting planes:
Gomory: 43
Implied bound: 1
Projected implied bound: 26
MIR: 2
Flow cover: 23
Inf proof: 23
Explored 24070 nodes (416235 simplex iterations) in 36.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.821379 0.818747 0.817509 ... 0.805362
Optimal solution found (tolerance 1.00e-02)
Best objective 8.213786006068e-01, best bound 8.286251159142e-01, gap 0.8822%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw6sfgu1v.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkohfxcir.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.805226
Presolve removed 662 rows and 429 columns
Presolve time: 0.02s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.038259e+00, 1022 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03826 0 94 0.80523 1.03826 28.9% - 0s
0 0 1.00355 0 113 0.80523 1.00355 24.6% - 0s
0 0 1.00355 0 113 0.80523 1.00355 24.6% - 0s
0 0 0.99820 0 111 0.80523 0.99820 24.0% - 0s
0 0 0.99810 0 110 0.80523 0.99810 24.0% - 0s
0 0 0.99355 0 114 0.80523 0.99355 23.4% - 0s
0 0 0.99332 0 113 0.80523 0.99332 23.4% - 0s
0 0 0.99328 0 120 0.80523 0.99328 23.4% - 0s
0 0 0.99326 0 120 0.80523 0.99326 23.4% - 0s
0 0 0.99322 0 121 0.80523 0.99322 23.3% - 0s
0 0 0.99320 0 124 0.80523 0.99320 23.3% - 0s
0 0 0.99316 0 126 0.80523 0.99316 23.3% - 0s
0 0 0.99316 0 119 0.80523 0.99316 23.3% - 0s
0 2 0.99316 0 118 0.80523 0.99316 23.3% - 0s
1715 683 0.84496 50 75 0.80523 0.90137 11.9% 20.6 5s
H 1955 664 0.8061375 0.89432 10.9% 21.3 5s
3888 1054 cutoff 54 0.80614 0.87094 8.04% 23.3 10s
6367 1470 infeasible 32 0.80614 0.85934 6.60% 24.7 15s
8704 1388 0.83214 43 83 0.80614 0.84435 4.74% 26.8 20s
H10190 1249 0.8061375 0.83647 3.76% 27.8 23s
10957 1104 cutoff 51 0.80614 0.83242 3.26% 28.1 25s
14195 1607 infeasible 58 0.80614 0.82457 2.29% 26.5 30s
17775 2304 0.81410 68 59 0.80614 0.81913 1.61% 24.4 35s
*19003 2605 138 0.8065387 0.81880 1.52% 23.6 36s
*19800 2271 135 0.8095990 0.81830 1.07% 23.0 37s
Cutting planes:
Gomory: 107
Implied bound: 37
Projected implied bound: 46
Clique: 4
MIR: 11
Flow cover: 70
Inf proof: 116
Explored 21360 nodes (471925 simplex iterations) in 38.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.809599 0.806539 0.806138 ... 0.805226
Optimal solution found (tolerance 1.00e-02)
Best objective 8.095990061446e-01, best bound 8.173056375863e-01, gap 0.9519%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpaijd78mu.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcpdlb_pn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.801402
Presolve removed 676 rows and 438 columns
Presolve time: 0.02s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.028185e+00, 1020 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02819 0 98 0.80140 1.02819 28.3% - 0s
0 0 0.99420 0 112 0.80140 0.99420 24.1% - 0s
0 0 0.99420 0 112 0.80140 0.99420 24.1% - 0s
0 0 0.98893 0 120 0.80140 0.98893 23.4% - 0s
0 0 0.98873 0 122 0.80140 0.98873 23.4% - 0s
0 0 0.98842 0 123 0.80140 0.98842 23.3% - 0s
0 0 0.98826 0 123 0.80140 0.98826 23.3% - 0s
0 0 0.98783 0 121 0.80140 0.98783 23.3% - 0s
0 0 0.98741 0 129 0.80140 0.98741 23.2% - 0s
0 0 0.98592 0 132 0.80140 0.98592 23.0% - 0s
0 0 0.98590 0 129 0.80140 0.98590 23.0% - 0s
0 0 0.98583 0 129 0.80140 0.98583 23.0% - 0s
0 0 0.98582 0 123 0.80140 0.98582 23.0% - 0s
0 0 0.98530 0 124 0.80140 0.98530 22.9% - 0s
0 0 0.98516 0 124 0.80140 0.98516 22.9% - 0s
0 0 0.98516 0 122 0.80140 0.98516 22.9% - 0s
0 0 0.98516 0 124 0.80140 0.98516 22.9% - 0s
0 0 0.98516 0 124 0.80140 0.98516 22.9% - 0s
0 0 0.98516 0 117 0.80140 0.98516 22.9% - 0s
0 2 0.98516 0 117 0.80140 0.98516 22.9% - 0s
1359 614 0.87279 31 92 0.80140 0.91475 14.1% 24.5 5s
H 3421 1127 0.8014020 0.87757 9.50% 24.5 8s
3971 1289 0.81616 41 84 0.80140 0.87279 8.91% 24.9 10s
6812 1554 0.80206 44 86 0.80140 0.85207 6.32% 25.9 15s
10004 1904 0.81303 50 104 0.80140 0.84019 4.84% 24.0 20s
13693 2404 cutoff 40 0.80140 0.82708 3.20% 22.2 25s
H16914 3191 0.8014020 0.82329 2.73% 20.6 29s
H16916 3187 0.8015351 0.82329 2.71% 20.6 29s
16923 3154 cutoff 62 0.80154 0.82300 2.68% 20.6 30s
20694 3652 0.81091 54 117 0.80154 0.81940 2.23% 19.8 46s
20706 3660 0.80530 42 164 0.80154 0.81940 2.23% 19.8 51s
20712 3664 0.81866 55 166 0.80154 0.81940 2.23% 19.7 55s
20718 3668 0.81202 73 169 0.80154 0.81940 2.23% 19.7 60s
20728 3675 0.81565 39 159 0.80154 0.81940 2.23% 19.7 65s
20734 3679 0.81371 51 173 0.80154 0.81940 2.23% 19.7 70s
20740 3683 0.81109 92 181 0.80154 0.81940 2.23% 19.7 75s
20747 3687 0.80693 50 205 0.80154 0.81940 2.23% 19.7 80s
20754 3692 0.80727 56 177 0.80154 0.81940 2.23% 19.7 85s
20760 3696 0.81259 87 188 0.80154 0.81940 2.23% 19.7 90s
20767 3701 0.81080 90 192 0.80154 0.81940 2.23% 19.7 95s
20775 3706 0.81082 59 201 0.80154 0.81940 2.23% 19.7 101s
20782 3711 0.80409 116 209 0.80154 0.81940 2.23% 19.7 105s
20788 3715 0.80505 52 206 0.80154 0.81940 2.23% 19.7 110s
20795 3719 0.81137 72 211 0.80154 0.81940 2.23% 19.7 115s
20802 3724 0.80414 116 222 0.80154 0.81940 2.23% 19.7 120s
20807 3727 0.81198 78 215 0.80154 0.81940 2.23% 19.7 125s
20813 3731 0.80383 103 215 0.80154 0.81940 2.23% 19.7 130s
20819 3735 0.81799 53 222 0.80154 0.81940 2.23% 19.6 135s
20825 3739 0.80467 108 221 0.80154 0.81940 2.23% 19.6 140s
20833 3745 0.80706 82 223 0.80154 0.81940 2.23% 19.6 145s
20838 3748 0.81516 47 215 0.80154 0.81940 2.23% 19.6 150s
20845 3753 0.81783 84 220 0.80154 0.81940 2.23% 19.6 155s
20850 3756 0.80218 58 212 0.80154 0.81940 2.23% 19.6 160s
20856 3760 0.80850 43 212 0.80154 0.81940 2.23% 19.6 165s
20861 3763 0.81352 57 204 0.80154 0.81940 2.23% 19.6 170s
20868 3768 0.81676 70 206 0.80154 0.81940 2.23% 19.6 175s
20873 3771 0.80659 41 203 0.80154 0.81940 2.23% 19.6 180s
20880 3776 0.80353 114 199 0.80154 0.81940 2.23% 19.6 186s
20886 3780 0.81872 49 211 0.80154 0.81940 2.23% 19.6 190s
20894 3785 0.81091 54 205 0.80154 0.81940 2.23% 19.6 196s
20900 3789 0.81843 51 197 0.80154 0.81940 2.23% 19.6 200s
20908 3798 0.81940 28 205 0.80154 0.81940 2.23% 21.2 207s
20910 3799 0.81940 29 201 0.80154 0.81940 2.23% 21.2 210s
21032 3813 cutoff 46 0.80154 0.81940 2.23% 21.6 215s
21531 3953 0.81940 61 127 0.80154 0.81940 2.23% 22.5 220s
22120 4058 0.81003 51 140 0.80154 0.81940 2.23% 24.4 225s
22566 4048 0.81940 47 171 0.80154 0.81940 2.23% 26.4 231s
H22567 3849 0.8023762 0.81940 2.12% 26.4 231s
H22568 3664 0.8025092 0.81940 2.10% 26.4 231s
22877 3664 cutoff 48 0.80251 0.81940 2.10% 27.7 235s
23379 3646 0.80799 41 162 0.80251 0.81940 2.10% 29.8 240s
23870 3593 0.81940 34 185 0.80251 0.81940 2.10% 32.0 245s
24347 3516 cutoff 51 0.80251 0.81940 2.10% 33.9 250s
24800 3446 cutoff 47 0.80251 0.81940 2.10% 36.2 256s
25072 3380 0.81940 40 173 0.80251 0.81940 2.10% 37.7 260s
25341 3276 0.81940 43 171 0.80251 0.81940 2.10% 39.3 265s
25703 3161 0.81940 40 187 0.80251 0.81940 2.10% 41.8 270s
26020 3095 0.81134 43 167 0.80251 0.81940 2.10% 43.2 279s
26028 3068 0.80342 44 164 0.80251 0.81940 2.10% 43.2 281s
26366 2945 infeasible 42 0.80251 0.81940 2.10% 45.0 285s
26781 2849 0.81940 45 171 0.80251 0.81940 2.10% 46.7 290s
27243 2762 0.81895 52 164 0.80251 0.81940 2.10% 48.2 295s
27772 2689 cutoff 46 0.80251 0.81940 2.10% 49.7 301s
28372 2573 infeasible 42 0.80251 0.81940 2.10% 51.4 307s
28659 2471 0.81350 40 170 0.80251 0.81940 2.10% 52.5 310s
29271 2242 cutoff 47 0.80251 0.81940 2.10% 54.6 317s
29621 2128 0.81940 64 151 0.80251 0.81940 2.10% 55.7 320s
30274 1900 cutoff 42 0.80251 0.81940 2.10% 57.5 328s
30706 1792 0.81876 43 186 0.80251 0.81940 2.10% 58.4 332s
31221 1701 0.81841 44 183 0.80251 0.81872 2.02% 59.3 336s
31756 1745 cutoff 44 0.80251 0.81797 1.93% 60.0 340s
32744 1850 cutoff 73 0.80251 0.81666 1.76% 61.2 348s
33264 1900 0.81515 43 186 0.80251 0.81583 1.66% 61.7 352s
33610 1866 0.81391 46 183 0.80251 0.81497 1.55% 62.6 355s
34283 1767 0.81142 43 166 0.80251 0.81359 1.38% 63.9 362s
34885 1681 cutoff 48 0.80251 0.81208 1.19% 64.8 367s
35195 1670 cutoff 64 0.80251 0.81181 1.16% 65.3 370s
35566 1561 cutoff 45 0.80251 0.81065 1.01% 66.0 377s
Cutting planes:
Gomory: 213
Cover: 5
Implied bound: 40
Projected implied bound: 61
Clique: 2
MIR: 146
StrongCG: 6
Flow cover: 473
Inf proof: 13
Zero half: 2
Explored 35883 nodes (2379469 simplex iterations) in 377.27 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.802509 0.802376 0.801535 ... 0.801402
Optimal solution found (tolerance 1.00e-02)
Best objective 8.025092401943e-01, best bound 8.103358900616e-01, gap 0.9753%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplvy_v5i_.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp61i2zitr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.791662
Presolve removed 690 rows and 447 columns
Presolve time: 0.02s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.014502e+00, 1063 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01450 0 101 0.79166 1.01450 28.1% - 0s
0 0 0.97931 0 119 0.79166 0.97931 23.7% - 0s
0 0 0.97931 0 120 0.79166 0.97931 23.7% - 0s
0 0 0.97420 0 109 0.79166 0.97420 23.1% - 0s
0 0 0.97409 0 114 0.79166 0.97409 23.0% - 0s
0 0 0.97343 0 113 0.79166 0.97343 23.0% - 0s
0 0 0.97338 0 119 0.79166 0.97338 23.0% - 0s
0 0 0.97316 0 121 0.79166 0.97316 22.9% - 0s
0 0 0.97316 0 120 0.79166 0.97316 22.9% - 0s
0 0 0.97312 0 121 0.79166 0.97312 22.9% - 0s
0 0 0.97310 0 118 0.79166 0.97310 22.9% - 0s
0 0 0.97310 0 103 0.79166 0.97310 22.9% - 0s
0 2 0.97310 0 102 0.79166 0.97310 22.9% - 0s
1321 627 cutoff 17 0.79166 0.88594 11.9% 25.2 5s
3966 1131 0.80865 37 120 0.79166 0.84357 6.56% 24.4 10s
6827 1600 0.79645 36 106 0.79166 0.82633 4.38% 25.4 15s
8881 1678 0.80671 44 90 0.79166 0.82120 3.73% 25.8 20s
11714 2034 0.79624 71 82 0.79166 0.81354 2.76% 25.1 25s
14683 2174 0.80785 63 74 0.79166 0.80785 2.04% 25.0 30s
18293 2820 0.79465 96 52 0.79166 0.80548 1.75% 23.9 35s
22038 3079 0.80104 76 77 0.79166 0.80345 1.49% 23.3 40s
25145 3040 0.80052 76 77 0.79166 0.80122 1.21% 23.0 45s
Cutting planes:
Gomory: 120
Cover: 2
Implied bound: 35
Projected implied bound: 37
Clique: 1
MIR: 13
Flow cover: 72
Inf proof: 176
Explored 27100 nodes (617743 simplex iterations) in 47.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.791662
Optimal solution found (tolerance 1.00e-02)
Best objective 7.916616831153e-01, best bound 7.995082359695e-01, gap 0.9911%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfnk1vevb.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnkjmmhmx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.782691
Presolve removed 704 rows and 456 columns
Presolve time: 0.03s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 1.002463e+00, 1122 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00246 0 105 0.78269 1.00246 28.1% - 0s
0 0 0.96403 0 120 0.78269 0.96403 23.2% - 0s
0 0 0.96403 0 121 0.78269 0.96403 23.2% - 0s
0 0 0.95873 0 131 0.78269 0.95873 22.5% - 0s
0 0 0.95764 0 130 0.78269 0.95764 22.4% - 0s
0 0 0.95709 0 139 0.78269 0.95709 22.3% - 0s
0 0 0.95708 0 140 0.78269 0.95708 22.3% - 0s
0 0 0.95614 0 140 0.78269 0.95614 22.2% - 0s
0 0 0.95614 0 139 0.78269 0.95614 22.2% - 0s
0 0 0.95574 0 143 0.78269 0.95574 22.1% - 0s
0 0 0.95571 0 144 0.78269 0.95571 22.1% - 0s
0 0 0.95552 0 142 0.78269 0.95552 22.1% - 0s
0 0 0.95548 0 143 0.78269 0.95548 22.1% - 0s
0 0 0.95548 0 146 0.78269 0.95548 22.1% - 0s
0 0 0.95548 0 146 0.78269 0.95548 22.1% - 0s
0 0 0.95548 0 118 0.78269 0.95548 22.1% - 0s
0 2 0.95548 0 118 0.78269 0.95548 22.1% - 0s
1124 614 0.79749 92 76 0.78269 0.88314 12.8% 22.2 5s
3969 1416 0.79351 40 106 0.78269 0.83106 6.18% 21.3 10s
6049 1767 cutoff 40 0.78269 0.82482 5.38% 23.9 16s
H 6107 1770 0.7826908 0.82477 5.38% 24.1 16s
7620 1893 cutoff 43 0.78269 0.82105 4.90% 25.7 20s
10096 2156 cutoff 50 0.78269 0.81660 4.33% 27.1 25s
12153 2281 0.79900 59 88 0.78269 0.81255 3.81% 28.4 31s
13862 2444 0.79464 44 102 0.78269 0.81013 3.51% 28.4 35s
16556 3067 0.79992 61 98 0.78269 0.80735 3.15% 28.0 40s
19233 3631 0.78535 98 69 0.78269 0.80527 2.88% 27.7 46s
H19234 3631 0.7826908 0.80527 2.88% 27.7 46s
20989 3960 0.79960 46 104 0.78269 0.80374 2.69% 27.5 63s
22097 4075 0.80140 70 80 0.78269 0.80290 2.58% 27.6 65s
23974 4351 0.79121 37 131 0.78269 0.80176 2.44% 28.2 70s
25884 4551 0.78709 81 81 0.78269 0.80061 2.29% 29.0 75s
27925 4847 0.78484 75 89 0.78269 0.79964 2.17% 29.4 80s
30131 4952 0.78968 52 103 0.78269 0.79866 2.04% 29.7 85s
32065 5057 infeasible 94 0.78269 0.79781 1.93% 30.0 90s
34051 5157 cutoff 48 0.78269 0.79708 1.84% 30.1 95s
35833 5139 cutoff 90 0.78269 0.79634 1.74% 30.5 100s
37690 5167 cutoff 83 0.78269 0.79570 1.66% 30.8 105s
40058 5263 0.79081 76 69 0.78269 0.79466 1.53% 30.9 110s
41793 5187 infeasible 70 0.78269 0.79355 1.39% 31.1 115s
43683 5191 cutoff 61 0.78269 0.79258 1.26% 31.2 120s
45803 5369 cutoff 77 0.78269 0.79170 1.15% 31.1 125s
48402 5558 0.79066 87 63 0.78269 0.79079 1.03% 30.8 130s
Cutting planes:
Gomory: 162
Cover: 4
Implied bound: 62
Projected implied bound: 42
MIR: 31
Flow cover: 133
Inf proof: 221
Explored 49438 nodes (1514250 simplex iterations) in 131.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.782691 0.782691 0.782691
Optimal solution found (tolerance 1.00e-02)
Best objective 7.826908369061e-01, best bound 7.904962603464e-01, gap 0.9973%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq_jmbrjl.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgraec3xm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.777009
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.908283e-01, 1030 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99083 0 105 0.77701 0.99083 27.5% - 0s
0 0 0.96486 0 109 0.77701 0.96486 24.2% - 0s
0 0 0.96453 0 113 0.77701 0.96453 24.1% - 0s
0 0 0.95478 0 121 0.77701 0.95478 22.9% - 0s
0 0 0.95457 0 124 0.77701 0.95457 22.9% - 0s
0 0 0.95402 0 123 0.77701 0.95402 22.8% - 0s
0 0 0.95402 0 126 0.77701 0.95402 22.8% - 0s
0 0 0.95295 0 129 0.77701 0.95295 22.6% - 0s
0 0 0.95255 0 132 0.77701 0.95255 22.6% - 0s
0 0 0.95042 0 133 0.77701 0.95042 22.3% - 0s
0 0 0.95025 0 133 0.77701 0.95025 22.3% - 0s
0 0 0.95002 0 133 0.77701 0.95002 22.3% - 0s
0 0 0.94998 0 133 0.77701 0.94998 22.3% - 0s
0 0 0.94998 0 116 0.77701 0.94998 22.3% - 0s
0 2 0.94998 0 115 0.77701 0.94998 22.3% - 0s
1287 656 0.81451 22 113 0.77701 0.86193 10.9% 19.8 5s
3174 776 0.78316 32 122 0.77701 0.82572 6.27% 26.6 10s
5063 1126 cutoff 49 0.77701 0.81736 5.19% 28.0 15s
6892 1179 cutoff 47 0.77701 0.80758 3.93% 29.8 20s
9192 1377 0.78834 42 100 0.77701 0.80111 3.10% 30.0 25s
11892 1877 cutoff 48 0.77701 0.79728 2.61% 28.9 30s
H13109 1956 0.7770090 0.79470 2.28% 29.2 33s
13204 2012 0.78078 68 86 0.77701 0.79388 2.17% 29.0 35s
15799 2346 cutoff 118 0.77701 0.79133 1.84% 27.7 40s
19136 3012 0.78716 71 72 0.77701 0.78883 1.52% 26.0 45s
22513 3738 0.78015 58 93 0.77701 0.78641 1.21% 24.7 50s
Cutting planes:
Gomory: 112
Cover: 2
Implied bound: 46
Projected implied bound: 35
MIR: 18
Flow cover: 79
Inf proof: 126
Explored 25693 nodes (606939 simplex iterations) in 54.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.777009 0.777009
Optimal solution found (tolerance 1.00e-02)
Best objective 7.770089892846e-01, best bound 7.846767123161e-01, gap 0.9868%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp327b8elk.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu99u1q6d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.770107
Presolve removed 732 rows and 474 columns
Presolve time: 0.03s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.813352e-01, 1127 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98134 0 106 0.77011 0.98134 27.4% - 0s
0 0 0.94913 0 132 0.77011 0.94913 23.2% - 0s
0 0 0.94912 0 132 0.77011 0.94912 23.2% - 0s
0 0 0.94576 0 129 0.77011 0.94576 22.8% - 0s
0 0 0.94524 0 134 0.77011 0.94524 22.7% - 0s
0 0 0.94495 0 136 0.77011 0.94495 22.7% - 0s
0 0 0.94495 0 136 0.77011 0.94495 22.7% - 0s
0 0 0.94449 0 142 0.77011 0.94449 22.6% - 0s
0 0 0.94406 0 144 0.77011 0.94406 22.6% - 0s
0 0 0.94206 0 142 0.77011 0.94206 22.3% - 0s
0 0 0.94206 0 142 0.77011 0.94206 22.3% - 0s
0 0 0.94166 0 142 0.77011 0.94166 22.3% - 0s
0 0 0.94165 0 142 0.77011 0.94165 22.3% - 0s
0 0 0.94163 0 144 0.77011 0.94163 22.3% - 0s
0 0 0.94163 0 116 0.77011 0.94163 22.3% - 0s
0 2 0.94163 0 115 0.77011 0.94163 22.3% - 0s
1220 617 0.82680 20 117 0.77011 0.86574 12.4% 23.4 5s
3752 1360 0.83101 27 109 0.77011 0.83536 8.47% 26.4 10s
5961 1748 cutoff 22 0.77011 0.82489 7.11% 29.5 15s
8088 1854 0.78293 30 123 0.77011 0.81586 5.94% 32.4 20s
10178 1946 infeasible 35 0.77011 0.80642 4.72% 33.6 25s
12100 2228 cutoff 95 0.77011 0.80100 4.01% 33.7 30s
H13063 2526 0.7701074 0.79944 3.81% 33.1 32s
14153 2571 infeasible 27 0.77011 0.79750 3.56% 33.0 35s
15673 2537 0.78508 59 103 0.77011 0.79417 3.12% 33.1 40s
18072 2678 0.78443 75 100 0.77011 0.79038 2.63% 32.7 45s
20958 3302 cutoff 139 0.77011 0.78774 2.29% 30.8 62s
22800 3742 0.77112 70 89 0.77011 0.78700 2.19% 29.6 65s
26447 4135 0.78031 46 123 0.77011 0.78525 1.97% 28.8 70s
29473 4546 0.77993 97 91 0.77011 0.78438 1.85% 28.2 75s
32597 4851 0.77719 95 75 0.77011 0.78355 1.75% 27.6 80s
35535 5119 0.78279 84 92 0.77011 0.78279 1.65% 27.2 85s
38709 5255 0.77972 118 63 0.77011 0.78181 1.52% 26.9 90s
41314 5193 cutoff 104 0.77011 0.78073 1.38% 26.7 95s
44152 5338 0.77301 74 91 0.77011 0.77972 1.25% 26.5 100s
47271 5509 0.77607 122 67 0.77011 0.77876 1.12% 26.1 105s
50760 5936 0.77724 87 108 0.77011 0.77806 1.03% 25.5 110s
Cutting planes:
Gomory: 152
Cover: 5
Implied bound: 62
Projected implied bound: 46
Clique: 1
MIR: 17
Flow cover: 115
Inf proof: 246
Explored 51566 nodes (1309697 simplex iterations) in 111.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.770107 0.770107
Optimal solution found (tolerance 1.00e-02)
Best objective 7.701074414972e-01, best bound 7.778026353729e-01, gap 0.9992%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcvdqpucc.pyomo.lp
Reading time = 0.02 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp123txwno.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.763525
Presolve removed 746 rows and 483 columns
Presolve time: 0.03s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 9.693584e-01, 1245 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96936 0 108 0.76353 0.96936 27.0% - 0s
0 0 0.94105 0 120 0.76353 0.94105 23.3% - 0s
0 0 0.94105 0 120 0.76353 0.94105 23.3% - 0s
0 0 0.93388 0 117 0.76353 0.93388 22.3% - 0s
0 0 0.93382 0 118 0.76353 0.93382 22.3% - 0s
0 0 0.93331 0 122 0.76353 0.93331 22.2% - 0s
0 0 0.93323 0 126 0.76353 0.93323 22.2% - 0s
0 0 0.93323 0 126 0.76353 0.93323 22.2% - 0s
0 0 0.93319 0 128 0.76353 0.93319 22.2% - 0s
0 0 0.93319 0 113 0.76353 0.93319 22.2% - 0s
0 2 0.93319 0 113 0.76353 0.93319 22.2% - 0s
2439 899 0.77033 56 116 0.76353 0.83554 9.43% 16.4 5s
H 4559 1624 0.7635253 0.82076 7.50% 15.7 8s
5380 1776 0.80330 49 107 0.76353 0.81788 7.12% 16.1 10s
9140 2096 infeasible 48 0.76353 0.80414 5.32% 16.5 15s
12669 2540 cutoff 49 0.76353 0.79740 4.44% 16.0 20s
16738 2847 infeasible 54 0.76353 0.79079 3.57% 15.7 25s
H17462 2908 0.7635253 0.78930 3.38% 15.7 26s
20093 2869 0.78187 59 101 0.76353 0.78504 2.82% 15.7 30s
21823 2845 cutoff 75 0.76353 0.78255 2.49% 15.6 47s
23657 3064 0.76678 90 95 0.76353 0.78086 2.27% 16.2 50s
27783 4348 cutoff 57 0.76353 0.77920 2.05% 16.3 55s
32257 6030 cutoff 86 0.76353 0.77826 1.93% 16.1 60s
37622 8256 infeasible 112 0.76353 0.77751 1.83% 15.7 65s
41213 9253 infeasible 112 0.76353 0.77699 1.76% 15.9 70s
44786 9811 0.77112 116 81 0.76353 0.77658 1.71% 16.1 75s
48146 10377 0.77154 113 73 0.76353 0.77614 1.65% 16.4 80s
51659 10914 0.77301 115 73 0.76353 0.77573 1.60% 16.6 85s
54980 11352 infeasible 127 0.76353 0.77539 1.55% 16.8 90s
58415 12010 0.76395 129 54 0.76353 0.77517 1.53% 16.8 95s
61971 12331 0.77481 125 70 0.76353 0.77481 1.48% 16.9 100s
65054 12651 cutoff 95 0.76353 0.77456 1.44% 17.0 105s
68631 12995 0.76968 126 79 0.76353 0.77425 1.40% 17.0 110s
71357 13185 infeasible 149 0.76353 0.77405 1.38% 17.1 115s
74203 13391 cutoff 111 0.76353 0.77384 1.35% 17.2 120s
77948 13625 cutoff 116 0.76353 0.77351 1.31% 17.2 125s
81338 14006 0.77305 78 82 0.76353 0.77327 1.28% 17.2 130s
84917 14202 0.77182 113 76 0.76353 0.77298 1.24% 17.2 135s
88016 14339 cutoff 134 0.76353 0.77270 1.20% 17.3 140s
91131 14375 infeasible 102 0.76353 0.77244 1.17% 17.3 145s
94717 14471 cutoff 127 0.76353 0.77212 1.13% 17.3 150s
98226 14481 0.77166 115 82 0.76353 0.77172 1.07% 17.2 155s
101354 14547 cutoff 120 0.76353 0.77138 1.03% 17.2 160s
Cutting planes:
Gomory: 43
Implied bound: 13
Projected implied bound: 6
MIR: 23
Flow cover: 104
Explored 103953 nodes (1785370 simplex iterations) in 163.59 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.763525 0.763525 0.763525
Optimal solution found (tolerance 1.00e-02)
Best objective 7.635252572157e-01, best bound 7.710493615067e-01, gap 0.9854%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp31v3_k_u.pyomo.lp
Reading time = 0.02 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplk5odb53.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.751023
Presolve removed 760 rows and 492 columns
Presolve time: 0.04s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 9.530529e-01, 1127 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.95305 0 113 0.75102 0.95305 26.9% - 0s
0 0 0.92313 0 119 0.75102 0.92313 22.9% - 0s
0 0 0.92312 0 123 0.75102 0.92312 22.9% - 0s
0 0 0.92029 0 119 0.75102 0.92029 22.5% - 0s
0 0 0.92019 0 113 0.75102 0.92019 22.5% - 0s
0 0 0.91995 0 112 0.75102 0.91995 22.5% - 0s
0 0 0.91995 0 113 0.75102 0.91995 22.5% - 0s
0 0 0.91958 0 114 0.75102 0.91958 22.4% - 0s
0 0 0.91958 0 114 0.75102 0.91958 22.4% - 0s
0 0 0.91949 0 109 0.75102 0.91949 22.4% - 0s
0 0 0.91949 0 109 0.75102 0.91949 22.4% - 0s
0 2 0.91949 0 109 0.75102 0.91949 22.4% - 0s
2300 719 infeasible 50 0.75102 0.82188 9.43% 18.4 5s
6431 2564 infeasible 55 0.75102 0.80474 7.15% 16.3 10s
10055 3399 infeasible 40 0.75102 0.79839 6.31% 17.2 15s
H12875 3752 0.7510228 0.79360 5.67% 17.3 18s
12910 3702 0.77965 37 104 0.75102 0.79360 5.67% 17.4 20s
17482 4231 0.76521 52 99 0.75102 0.78619 4.68% 17.5 25s
20888 4433 cutoff 47 0.75102 0.78127 4.03% 17.4 43s
21777 4393 0.76952 49 108 0.75102 0.77981 3.83% 18.0 45s
23885 4210 0.77342 75 91 0.75102 0.77691 3.45% 20.2 50s
26185 4264 cutoff 49 0.75102 0.77405 3.07% 21.7 55s
28669 4271 0.75727 48 128 0.75102 0.77115 2.68% 22.9 60s
31402 4441 infeasible 46 0.75102 0.76887 2.38% 23.4 65s
35090 5161 0.76477 52 111 0.75102 0.76723 2.16% 23.3 70s
38483 5419 0.76201 80 81 0.75102 0.76546 1.92% 23.5 75s
40788 5515 0.76160 47 124 0.75102 0.76450 1.79% 23.5 80s
43823 5674 cutoff 45 0.75102 0.76299 1.59% 23.4 85s
47430 5837 cutoff 92 0.75102 0.76147 1.39% 23.1 90s
50917 6118 0.75155 137 59 0.75102 0.75999 1.19% 22.7 95s
55127 6617 cutoff 122 0.75102 0.75873 1.03% 22.1 100s
Cutting planes:
Gomory: 44
Implied bound: 13
Projected implied bound: 16
Clique: 2
MIR: 25
Flow cover: 120
Explored 56138 nodes (1230733 simplex iterations) in 101.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.751023 0.751023
Optimal solution found (tolerance 1.00e-02)
Best objective 7.510228448989e-01, best bound 7.585205755145e-01, gap 0.9983%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzkwex55z.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplnsr4arv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.739974
Presolve removed 774 rows and 501 columns
Presolve time: 0.04s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 9.377090e-01, 1243 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93771 0 115 0.73997 0.93771 26.7% - 0s
0 0 0.91020 0 125 0.73997 0.91020 23.0% - 0s
0 0 0.91019 0 125 0.73997 0.91019 23.0% - 0s
0 0 0.90566 0 133 0.73997 0.90566 22.4% - 0s
0 0 0.90551 0 129 0.73997 0.90551 22.4% - 0s
0 0 0.90523 0 132 0.73997 0.90523 22.3% - 0s
0 0 0.90523 0 133 0.73997 0.90523 22.3% - 0s
0 0 0.90509 0 135 0.73997 0.90509 22.3% - 0s
0 0 0.90508 0 136 0.73997 0.90508 22.3% - 0s
0 0 0.90507 0 130 0.73997 0.90507 22.3% - 0s
0 0 0.90503 0 130 0.73997 0.90503 22.3% - 0s
0 0 0.90503 0 116 0.73997 0.90503 22.3% - 0s
0 2 0.90503 0 116 0.73997 0.90503 22.3% - 0s
2236 809 cutoff 52 0.73997 0.81470 10.1% 16.8 5s
5677 1936 infeasible 36 0.73997 0.79232 7.07% 16.0 10s
8787 2642 0.76182 46 110 0.73997 0.78488 6.07% 17.0 15s
12002 3086 cutoff 41 0.73997 0.77938 5.33% 18.0 20s
14666 3198 0.76220 32 111 0.73997 0.77397 4.59% 18.5 25s
18206 3355 cutoff 33 0.73997 0.76862 3.87% 18.7 30s
20808 3511 0.75969 46 112 0.73997 0.76511 3.40% 18.5 48s
21710 3563 cutoff 60 0.73997 0.76439 3.30% 19.1 50s
23558 3496 0.74173 100 89 0.73997 0.76205 2.98% 21.0 55s
25032 3472 cutoff 37 0.73997 0.76044 2.77% 22.1 60s
27449 3462 0.75319 67 103 0.73997 0.75775 2.40% 23.2 65s
30875 4153 0.74053 120 60 0.73997 0.75590 2.15% 23.3 70s
34087 4758 0.74612 79 102 0.73997 0.75462 1.98% 23.0 75s
37595 5280 0.75145 86 86 0.73997 0.75346 1.82% 22.9 80s
41785 6020 cutoff 98 0.73997 0.75243 1.68% 22.7 85s
45401 6747 0.74083 65 107 0.73997 0.75153 1.56% 22.4 90s
49019 7076 cutoff 107 0.73997 0.75052 1.43% 22.2 95s
52478 7518 infeasible 85 0.73997 0.74983 1.33% 21.9 100s
55587 7964 infeasible 66 0.73997 0.74908 1.23% 21.6 105s
59512 8516 cutoff 72 0.73997 0.74834 1.13% 21.3 110s
63648 9320 0.74764 83 91 0.73997 0.74764 1.04% 20.9 115s
Cutting planes:
Gomory: 75
Cover: 1
Implied bound: 13
Projected implied bound: 8
Clique: 2
MIR: 16
Flow cover: 96
Inf proof: 3
Explored 65693 nodes (1357801 simplex iterations) in 117.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.739974
Optimal solution found (tolerance 1.00e-02)
Best objective 7.399738883993e-01, best bound 7.473114552884e-01, gap 0.9916%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8n96rrlm.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9vphpzyf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.730694
Presolve removed 788 rows and 510 columns
Presolve time: 0.03s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 9.241358e-01, 1221 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92414 0 119 0.73069 0.92414 26.5% - 0s
0 0 0.89546 0 124 0.73069 0.89546 22.5% - 0s
0 0 0.89545 0 124 0.73069 0.89545 22.5% - 0s
0 0 0.89296 0 135 0.73069 0.89296 22.2% - 0s
0 0 0.89281 0 136 0.73069 0.89281 22.2% - 0s
0 0 0.89264 0 138 0.73069 0.89264 22.2% - 0s
0 0 0.89219 0 139 0.73069 0.89219 22.1% - 0s
0 0 0.89178 0 145 0.73069 0.89178 22.0% - 0s
0 0 0.89076 0 143 0.73069 0.89076 21.9% - 0s
0 0 0.89076 0 143 0.73069 0.89076 21.9% - 0s
0 0 0.89043 0 142 0.73069 0.89043 21.9% - 0s
0 0 0.89042 0 146 0.73069 0.89042 21.9% - 0s
0 0 0.89012 0 145 0.73069 0.89012 21.8% - 0s
0 0 0.89007 0 148 0.73069 0.89007 21.8% - 0s
0 0 0.89004 0 149 0.73069 0.89004 21.8% - 0s
0 0 0.89001 0 149 0.73069 0.89001 21.8% - 0s
0 0 0.89001 0 123 0.73069 0.89001 21.8% - 0s
0 2 0.89001 0 123 0.73069 0.89001 21.8% - 0s
897 551 0.77485 49 102 0.73069 0.83558 14.4% 27.5 5s
3762 1312 0.77748 43 106 0.73069 0.79223 8.42% 22.3 10s
6498 2131 0.76330 38 104 0.73069 0.77852 6.55% 21.8 15s
9921 3064 cutoff 65 0.73069 0.76964 5.33% 21.7 20s
12322 3524 0.74149 61 110 0.73069 0.76562 4.78% 21.9 25s
H13143 3736 0.7306940 0.76380 4.53% 22.0 26s
H13234 3763 0.7306940 0.76374 4.52% 22.0 26s
14771 4016 cutoff 78 0.73069 0.76234 4.33% 21.9 30s
17917 4497 cutoff 33 0.73069 0.75897 3.87% 22.1 35s
20835 5003 0.75056 48 112 0.73069 0.75692 3.59% 22.1 55s
H22108 5148 0.7306940 0.75599 3.46% 22.8 59s
22111 5103 cutoff 73 0.73069 0.75595 3.46% 22.8 60s
23973 5146 0.73589 55 114 0.73069 0.75438 3.24% 24.3 65s
25647 5199 0.73779 46 134 0.73069 0.75294 3.04% 25.2 70s
27711 5202 infeasible 54 0.73069 0.75149 2.85% 26.5 75s
30102 5579 0.73795 138 63 0.73069 0.74986 2.62% 26.8 80s
32903 6001 cutoff 61 0.73069 0.74859 2.45% 27.0 85s
35385 6336 cutoff 74 0.73069 0.74755 2.31% 27.0 90s
38172 6940 0.74166 70 119 0.73069 0.74687 2.21% 26.7 95s
41709 7767 infeasible 123 0.73069 0.74586 2.07% 26.4 100s
45387 8723 cutoff 120 0.73069 0.74534 2.00% 26.0 105s
48403 9387 0.74392 114 81 0.73069 0.74495 1.95% 25.8 110s
51545 9865 0.73290 108 77 0.73069 0.74445 1.88% 25.7 115s
54705 10227 cutoff 47 0.73069 0.74397 1.82% 25.5 120s
57961 10568 0.73230 129 77 0.73069 0.74345 1.75% 25.5 125s
61081 10913 infeasible 143 0.73069 0.74306 1.69% 25.3 130s
64407 11431 infeasible 85 0.73069 0.74260 1.63% 25.0 135s
68114 11980 cutoff 111 0.73069 0.74223 1.58% 24.8 140s
70557 12134 0.73509 115 62 0.73069 0.74192 1.54% 24.8 145s
73241 12518 0.73981 92 94 0.73069 0.74164 1.50% 24.6 150s
76560 12892 0.73115 163 61 0.73069 0.74135 1.46% 24.5 155s
79828 13326 infeasible 117 0.73069 0.74107 1.42% 24.3 160s
82065 13385 0.73439 74 104 0.73069 0.74085 1.39% 24.2 165s
85132 13622 0.73469 61 106 0.73069 0.74052 1.34% 24.1 170s
88402 13986 0.73775 66 107 0.73069 0.74023 1.31% 23.9 175s
92122 14379 0.73122 86 84 0.73069 0.73991 1.26% 23.6 180s
95327 14513 infeasible 165 0.73069 0.73960 1.22% 23.5 185s
98411 14723 0.73731 81 95 0.73069 0.73932 1.18% 23.3 190s
102006 15007 0.73850 82 94 0.73069 0.73902 1.14% 23.1 195s
105057 15271 0.73828 76 94 0.73069 0.73878 1.11% 23.0 200s
108163 15786 cutoff 71 0.73069 0.73857 1.08% 22.8 205s
111699 15879 infeasible 126 0.73069 0.73830 1.04% 22.6 210s
114191 16057 0.73776 77 100 0.73069 0.73809 1.01% 22.5 215s
Cutting planes:
Gomory: 90
Cover: 1
Implied bound: 18
Projected implied bound: 42
MIR: 29
Flow cover: 140
Inf proof: 16
Explored 116333 nodes (2604657 simplex iterations) in 217.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.730694 0.730694 0.730694 0.730694
Optimal solution found (tolerance 1.00e-02)
Best objective 7.306939855826e-01, best bound 7.379946070080e-01, gap 0.9991%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9g1mfjyj.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4npz5zv4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.725488
Presolve removed 802 rows and 519 columns
Presolve time: 0.03s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 9.145200e-01, 1195 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.91452 0 121 0.72549 0.91452 26.1% - 0s
0 0 0.88624 0 130 0.72549 0.88624 22.2% - 0s
0 0 0.88623 0 130 0.72549 0.88623 22.2% - 0s
0 0 0.88369 0 146 0.72549 0.88369 21.8% - 0s
0 0 0.88359 0 141 0.72549 0.88359 21.8% - 0s
0 0 0.88340 0 142 0.72549 0.88340 21.8% - 0s
0 0 0.88240 0 142 0.72549 0.88240 21.6% - 0s
0 0 0.88191 0 146 0.72549 0.88191 21.6% - 0s
0 0 0.88095 0 151 0.72549 0.88095 21.4% - 0s
0 0 0.88095 0 150 0.72549 0.88095 21.4% - 0s
0 0 0.88086 0 152 0.72549 0.88086 21.4% - 0s
0 0 0.88085 0 147 0.72549 0.88085 21.4% - 0s
0 0 0.88078 0 148 0.72549 0.88078 21.4% - 0s
0 0 0.88078 0 121 0.72549 0.88078 21.4% - 0s
0 2 0.88078 0 121 0.72549 0.88078 21.4% - 0s
1033 597 0.75678 84 89 0.72549 0.82374 13.5% 23.8 5s
3157 1268 0.78249 28 125 0.72549 0.78860 8.70% 22.5 10s
5668 2177 0.77586 36 120 0.72549 0.77865 7.33% 22.8 15s
7997 2946 cutoff 55 0.72549 0.77140 6.33% 22.2 20s
11085 4044 infeasible 46 0.72549 0.76753 5.80% 21.6 25s
13358 4708 cutoff 50 0.72549 0.76536 5.50% 21.8 30s
16195 5464 0.72776 82 100 0.72549 0.76254 5.11% 21.8 35s
19357 6197 0.73287 44 125 0.72549 0.75952 4.69% 21.7 40s
21410 6574 infeasible 28 0.72549 0.75800 4.48% 21.9 59s
21698 6602 infeasible 40 0.72549 0.75776 4.45% 22.0 60s
23051 6650 cutoff 54 0.72549 0.75630 4.25% 23.4 65s
24639 6736 0.75257 77 124 0.72549 0.75483 4.05% 24.5 70s
26142 6915 cutoff 72 0.72549 0.75375 3.90% 25.3 75s
27950 7162 cutoff 91 0.72549 0.75257 3.73% 25.9 80s
29595 7242 0.73830 43 144 0.72549 0.75164 3.61% 26.7 85s
31291 7416 0.75049 55 139 0.72549 0.75103 3.52% 27.2 90s
32228 7499 0.74764 108 104 0.72549 0.75065 3.47% 27.5 95s
34218 7973 0.74714 57 138 0.72549 0.74985 3.36% 27.7 100s
36179 8289 infeasible 45 0.72549 0.74921 3.27% 28.0 105s
38757 9138 cutoff 60 0.72549 0.74864 3.19% 27.8 110s
41338 9654 0.74289 63 131 0.72549 0.74797 3.10% 27.9 115s
43151 9985 0.73380 53 140 0.72549 0.74757 3.04% 28.1 120s
45323 10380 cutoff 105 0.72549 0.74705 2.97% 28.1 125s
47647 10671 0.73056 75 126 0.72549 0.74650 2.90% 28.2 130s
49701 10952 infeasible 61 0.72549 0.74605 2.83% 28.3 135s
51643 11263 0.72791 63 130 0.72549 0.74565 2.78% 28.4 140s
53634 11404 cutoff 63 0.72549 0.74516 2.71% 28.5 145s
55677 11732 0.72696 141 65 0.72549 0.74472 2.65% 28.7 150s
57352 11786 infeasible 107 0.72549 0.74433 2.60% 28.7 155s
59089 11942 0.73905 49 153 0.72549 0.74399 2.55% 28.8 160s
61149 12098 infeasible 92 0.72549 0.74354 2.49% 28.9 165s
63299 12185 0.74257 105 99 0.72549 0.74317 2.44% 28.9 171s
65144 12377 cutoff 114 0.72549 0.74280 2.39% 28.9 175s
67338 12565 infeasible 50 0.72549 0.74249 2.34% 28.9 180s
69793 12890 0.73520 78 113 0.72549 0.74215 2.30% 28.8 185s
72033 12985 cutoff 81 0.72549 0.74177 2.24% 28.8 192s
73388 13089 0.73625 96 92 0.72549 0.74161 2.22% 28.8 195s
75356 13408 cutoff 106 0.72549 0.74136 2.19% 28.7 200s
78025 13916 0.73470 71 131 0.72549 0.74104 2.14% 28.5 205s
80304 14227 cutoff 69 0.72549 0.74075 2.10% 28.4 210s
82812 14572 0.73653 70 127 0.72549 0.74048 2.07% 28.2 215s
85425 14956 cutoff 103 0.72549 0.74026 2.04% 28.0 220s
87193 15257 0.73063 60 112 0.72549 0.74011 2.01% 27.9 225s
89495 15528 cutoff 64 0.72549 0.73982 1.98% 27.8 230s
92187 16097 0.73261 56 138 0.72549 0.73962 1.95% 27.6 235s
94762 16457 cutoff 59 0.72549 0.73942 1.92% 27.4 240s
97300 16828 0.72902 58 114 0.72549 0.73921 1.89% 27.3 245s
100330 17384 cutoff 54 0.72549 0.73900 1.86% 27.1 250s
102597 17593 0.72906 95 112 0.72549 0.73881 1.84% 27.0 255s
105383 17956 cutoff 67 0.72549 0.73858 1.80% 26.9 260s
107097 18226 infeasible 67 0.72549 0.73846 1.79% 26.8 265s
109553 18481 0.72881 72 112 0.72549 0.73829 1.76% 26.7 270s
111962 18669 cutoff 89 0.72549 0.73808 1.74% 26.6 275s
114806 18872 0.72881 115 81 0.72549 0.73787 1.71% 26.5 280s
117376 19133 infeasible 65 0.72549 0.73771 1.68% 26.4 285s
120240 19461 cutoff 105 0.72549 0.73749 1.65% 26.3 290s
122253 19690 cutoff 62 0.72549 0.73734 1.63% 26.2 295s
125296 20127 0.73111 90 95 0.72549 0.73713 1.61% 26.0 300s
128454 20522 0.73013 81 107 0.72549 0.73694 1.58% 25.9 305s
130958 20725 cutoff 78 0.72549 0.73679 1.56% 25.8 310s
132842 20828 0.72613 92 90 0.72549 0.73665 1.54% 25.7 315s
135661 21036 0.73351 79 102 0.72549 0.73648 1.52% 25.6 320s
138468 21355 cutoff 70 0.72549 0.73635 1.50% 25.5 325s
141002 21637 0.73151 71 139 0.72549 0.73618 1.47% 25.4 330s
143912 21898 cutoff 83 0.72549 0.73599 1.45% 25.3 335s
146859 22183 0.73505 71 125 0.72549 0.73584 1.43% 25.1 340s
149826 22404 0.73078 101 89 0.72549 0.73568 1.40% 25.0 345s
152301 22574 0.73251 66 102 0.72549 0.73553 1.38% 24.9 350s
155258 22883 0.73015 92 106 0.72549 0.73538 1.36% 24.8 355s
157978 22924 cutoff 62 0.72549 0.73520 1.34% 24.7 360s
160659 23297 cutoff 114 0.72549 0.73506 1.32% 24.6 365s
163762 23761 cutoff 42 0.72549 0.73490 1.30% 24.5 370s
166744 24164 0.73112 113 76 0.72549 0.73475 1.28% 24.4 375s
169691 24353 cutoff 182 0.72549 0.73463 1.26% 24.2 380s
172677 24674 cutoff 88 0.72549 0.73446 1.24% 24.1 385s
176067 24943 cutoff 83 0.72549 0.73428 1.21% 24.0 390s
179090 25317 cutoff 104 0.72549 0.73412 1.19% 23.9 395s
182544 25646 0.72817 89 91 0.72549 0.73398 1.17% 23.7 400s
H184943 25949 0.7254878 0.73390 1.16% 23.6 403s
184998 25947 0.72933 63 137 0.72549 0.73389 1.16% 23.6 405s
187842 26028 cutoff 75 0.72549 0.73375 1.14% 23.6 410s
190307 26308 0.72929 62 126 0.72549 0.73364 1.12% 23.5 415s
192811 26447 infeasible 118 0.72549 0.73355 1.11% 23.4 420s
196113 26612 0.73209 66 125 0.72549 0.73340 1.09% 23.2 425s
198897 26771 0.73178 75 101 0.72549 0.73328 1.07% 23.2 430s
201125 26750 cutoff 115 0.72549 0.73317 1.06% 23.1 435s
204362 26830 cutoff 114 0.72549 0.73302 1.04% 23.0 440s
207826 27146 cutoff 98 0.72549 0.73288 1.02% 22.9 445s
211064 27393 cutoff 73 0.72549 0.73275 1.00% 22.8 450s
Cutting planes:
Gomory: 76
Cover: 3
Implied bound: 14
Projected implied bound: 39
MIR: 26
Flow cover: 120
Inf proof: 17
Explored 211520 nodes (4812909 simplex iterations) in 450.52 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.725488 0.725488
Optimal solution found (tolerance 1.00e-02)
Best objective 7.254877656109e-01, best bound 7.327229474921e-01, gap 0.9973%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcx3txpcu.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr40y_iwk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714499
Presolve removed 816 rows and 528 columns
Presolve time: 0.03s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 9.001191e-01, 1269 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90012 0 125 0.71450 0.90012 26.0% - 0s
0 0 0.87393 0 135 0.71450 0.87393 22.3% - 0s
0 0 0.87392 0 137 0.71450 0.87392 22.3% - 0s
0 0 0.87092 0 153 0.71450 0.87092 21.9% - 0s
0 0 0.87059 0 158 0.71450 0.87059 21.8% - 0s
0 0 0.87025 0 157 0.71450 0.87025 21.8% - 0s
0 0 0.87023 0 156 0.71450 0.87023 21.8% - 0s
0 0 0.87017 0 162 0.71450 0.87017 21.8% - 0s
0 0 0.87016 0 162 0.71450 0.87016 21.8% - 0s
0 0 0.86983 0 164 0.71450 0.86983 21.7% - 0s
0 0 0.86968 0 157 0.71450 0.86968 21.7% - 0s
0 0 0.86967 0 157 0.71450 0.86967 21.7% - 0s
0 0 0.86967 0 157 0.71450 0.86967 21.7% - 0s
0 0 0.86967 0 157 0.71450 0.86967 21.7% - 0s
0 0 0.86967 0 135 0.71450 0.86967 21.7% - 0s
0 2 0.86967 0 135 0.71450 0.86967 21.7% - 0s
943 541 infeasible 28 0.71450 0.81334 13.8% 23.6 5s
3722 1507 0.74920 31 138 0.71450 0.76759 7.43% 21.9 10s
6561 2704 0.76120 44 118 0.71450 0.76165 6.60% 21.0 15s
9805 3837 0.73449 44 133 0.71450 0.75791 6.08% 21.9 20s
11798 4247 0.73315 42 116 0.71450 0.75622 5.84% 23.2 25s
13842 4559 0.72131 48 123 0.71450 0.75424 5.56% 24.7 30s
16475 4984 cutoff 59 0.71450 0.75186 5.23% 25.8 35s
18950 5329 cutoff 50 0.71450 0.75024 5.00% 26.4 40s
20681 5508 0.73849 56 112 0.71450 0.74901 4.83% 27.0 60s
22653 5595 0.73269 41 128 0.71450 0.74769 4.65% 28.1 65s
24261 5607 cutoff 54 0.71450 0.74607 4.42% 29.4 70s
26257 5656 0.72611 46 128 0.71450 0.74452 4.20% 30.7 75s
28013 5668 0.71601 45 130 0.71450 0.74294 3.98% 31.9 80s
29770 5793 cutoff 52 0.71450 0.74192 3.84% 32.4 85s
31445 5888 0.72039 52 134 0.71450 0.74096 3.70% 33.0 90s
33215 6029 0.73507 53 116 0.71450 0.73981 3.54% 33.5 95s
35144 6122 cutoff 51 0.71450 0.73864 3.38% 33.9 100s
37096 6287 0.73405 47 115 0.71450 0.73745 3.21% 34.1 105s
39399 6525 cutoff 103 0.71450 0.73648 3.08% 34.2 110s
40450 6695 0.72561 45 141 0.71450 0.73581 2.98% 34.2 115s
42613 6924 cutoff 62 0.71450 0.73470 2.83% 34.2 120s
44546 7126 infeasible 48 0.71450 0.73384 2.71% 34.2 125s
46684 7411 cutoff 88 0.71450 0.73286 2.57% 34.2 130s
49847 8120 cutoff 56 0.71450 0.73189 2.43% 33.7 135s
52581 8961 0.72112 157 58 0.71450 0.73130 2.35% 33.0 140s
56284 10176 0.71920 105 81 0.71450 0.73078 2.28% 32.2 145s
59773 10833 cutoff 90 0.71450 0.73007 2.18% 31.6 150s
63359 11525 0.72116 55 124 0.71450 0.72964 2.12% 30.9 155s
67097 12314 0.72316 67 100 0.71450 0.72917 2.05% 30.4 160s
70593 12956 cutoff 111 0.71450 0.72884 2.01% 29.8 165s
73244 13617 0.72768 62 120 0.71450 0.72862 1.98% 29.4 170s
76491 14212 0.71870 55 119 0.71450 0.72833 1.94% 29.0 175s
80184 15071 cutoff 128 0.71450 0.72807 1.90% 28.5 180s
84279 15969 0.72014 104 103 0.71450 0.72775 1.85% 28.0 185s
87570 16296 0.71825 101 86 0.71450 0.72740 1.81% 27.7 190s
91210 16846 0.72273 103 85 0.71450 0.72702 1.75% 27.4 195s
94430 17352 0.71706 130 64 0.71450 0.72673 1.71% 27.2 200s
97995 17730 cutoff 92 0.71450 0.72638 1.66% 26.9 205s
99595 17843 cutoff 64 0.71450 0.72621 1.64% 26.9 210s
103037 18102 cutoff 90 0.71450 0.72582 1.58% 26.7 215s
105823 18199 0.72304 101 97 0.71450 0.72544 1.53% 26.5 220s
107872 18281 0.72082 57 127 0.71450 0.72519 1.50% 26.5 225s
111013 18625 cutoff 71 0.71450 0.72479 1.44% 26.3 230s
114161 18773 0.71845 108 87 0.71450 0.72445 1.39% 26.1 235s
117561 19112 0.71684 113 89 0.71450 0.72411 1.34% 25.9 240s
120908 19283 0.71742 115 73 0.71450 0.72370 1.29% 25.7 245s
124780 19674 cutoff 117 0.71450 0.72334 1.24% 25.5 250s
127837 20000 cutoff 123 0.71450 0.72306 1.20% 25.3 255s
131980 20564 0.72249 138 72 0.71450 0.72273 1.15% 24.9 260s
135901 21157 0.71472 129 75 0.71450 0.72244 1.11% 24.7 265s
139933 21560 cutoff 110 0.71450 0.72213 1.07% 24.4 270s
143586 22091 0.71860 106 84 0.71450 0.72188 1.03% 24.2 275s
H145401 22337 0.7144989 0.72176 1.02% 24.0 278s
146247 22336 cutoff 104 0.71450 0.72170 1.01% 24.0 280s
Cutting planes:
Gomory: 96
Cover: 2
Implied bound: 16
Projected implied bound: 41
Clique: 2
MIR: 18
Flow cover: 122
Inf proof: 13
Explored 146628 nodes (3517878 simplex iterations) in 280.57 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.714499 0.714499
Optimal solution found (tolerance 1.00e-02)
Best objective 7.144988943838e-01, best bound 7.216361677373e-01, gap 0.9989%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy615h054.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4c_kq6ru.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.706507
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 8.888569e-01, 1281 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88886 0 127 0.70651 0.88886 25.8% - 0s
0 0 0.86199 0 143 0.70651 0.86199 22.0% - 0s
0 0 0.86199 0 143 0.70651 0.86199 22.0% - 0s
0 0 0.85959 0 154 0.70651 0.85959 21.7% - 0s
0 0 0.85947 0 155 0.70651 0.85947 21.7% - 0s
0 0 0.85924 0 154 0.70651 0.85924 21.6% - 0s
0 0 0.85923 0 149 0.70651 0.85923 21.6% - 0s
0 0 0.85886 0 159 0.70651 0.85886 21.6% - 0s
0 0 0.85846 0 156 0.70651 0.85846 21.5% - 0s
0 0 0.85747 0 161 0.70651 0.85747 21.4% - 0s
0 0 0.85747 0 161 0.70651 0.85747 21.4% - 0s
0 0 0.85746 0 162 0.70651 0.85746 21.4% - 0s
0 0 0.85742 0 161 0.70651 0.85742 21.4% - 0s
0 0 0.85741 0 162 0.70651 0.85741 21.4% - 0s
0 0 0.85741 0 137 0.70651 0.85741 21.4% - 0s
0 2 0.85741 0 135 0.70651 0.85741 21.4% - 0s
854 557 0.74454 47 115 0.70651 0.80644 14.1% 26.4 5s
2500 978 cutoff 70 0.70651 0.78471 11.1% 29.0 10s
3986 1562 cutoff 69 0.70651 0.77393 9.54% 30.0 15s
6067 2167 0.71264 39 119 0.70651 0.76658 8.50% 31.3 20s
7989 2572 cutoff 44 0.70651 0.76022 7.60% 32.6 25s
9417 2970 0.72097 44 120 0.70651 0.75748 7.22% 33.3 30s
11226 3442 cutoff 49 0.70651 0.75411 6.74% 33.9 35s
H12776 3860 0.7065068 0.75208 6.45% 34.0 39s
12817 3831 infeasible 46 0.70651 0.75200 6.44% 34.0 41s
13730 3984 0.73186 38 118 0.70651 0.75078 6.27% 34.7 45s
15217 4201 0.74880 44 127 0.70651 0.74893 6.00% 35.3 50s
16497 4431 cutoff 32 0.70651 0.74776 5.84% 35.9 55s
18289 4632 infeasible 44 0.70651 0.74534 5.50% 36.9 60s
19645 4739 0.70826 47 120 0.70651 0.74415 5.33% 37.4 65s
20780 4807 infeasible 45 0.70651 0.74272 5.13% 37.8 86s
21940 5017 cutoff 43 0.70651 0.74171 4.98% 38.5 90s
23020 5159 0.71575 53 134 0.70651 0.74079 4.85% 39.6 95s
24331 5235 cutoff 49 0.70651 0.73913 4.62% 41.2 101s
25347 5267 0.72094 48 139 0.70651 0.73820 4.49% 42.6 105s
26494 5357 0.72170 58 142 0.70651 0.73726 4.35% 43.7 111s
27735 5423 cutoff 49 0.70651 0.73616 4.20% 44.8 116s
28655 5469 cutoff 52 0.70651 0.73555 4.11% 45.7 120s
29920 5514 0.71247 45 168 0.70651 0.73474 4.00% 46.6 125s
30876 5573 cutoff 47 0.70651 0.73403 3.90% 47.3 130s
32327 5648 infeasible 41 0.70651 0.73283 3.73% 48.0 136s
33496 5771 infeasible 77 0.70651 0.73221 3.64% 48.3 141s
34598 5833 cutoff 62 0.70651 0.73153 3.54% 48.6 145s
35762 6025 cutoff 100 0.70651 0.73095 3.46% 48.9 150s
36837 6070 cutoff 49 0.70651 0.73032 3.37% 49.5 155s
38011 6226 0.71382 49 162 0.70651 0.72977 3.29% 49.8 160s
38755 6247 0.70911 42 144 0.70651 0.72938 3.24% 50.1 165s
39942 6337 0.71943 49 144 0.70651 0.72884 3.16% 50.4 170s
41175 6531 cutoff 55 0.70651 0.72834 3.09% 50.6 176s
42360 6700 0.71387 44 158 0.70651 0.72784 3.02% 50.8 181s
43477 6710 0.71001 59 113 0.70651 0.72726 2.94% 51.3 185s
44725 6802 0.71592 69 136 0.70651 0.72676 2.87% 51.6 190s
46026 7028 0.71844 36 157 0.70651 0.72625 2.79% 51.7 195s
47312 7242 0.72091 37 167 0.70651 0.72587 2.74% 51.5 200s
48713 7411 cutoff 63 0.70651 0.72540 2.67% 51.4 205s
50055 7603 cutoff 42 0.70651 0.72501 2.62% 51.4 210s
51357 7743 0.71546 43 154 0.70651 0.72469 2.57% 51.5 215s
53290 8185 infeasible 40 0.70651 0.72413 2.49% 51.3 221s
55035 8608 cutoff 96 0.70651 0.72381 2.45% 50.9 226s
56219 8730 0.71199 43 165 0.70651 0.72344 2.40% 50.9 230s
57874 9069 0.72147 48 144 0.70651 0.72313 2.35% 50.5 235s
58698 9156 0.71484 72 128 0.70651 0.72293 2.33% 50.5 240s
60108 9453 0.71025 108 84 0.70651 0.72268 2.29% 50.3 245s
61881 9687 cutoff 51 0.70651 0.72229 2.23% 50.2 250s
63453 10060 0.72080 54 160 0.70651 0.72212 2.21% 49.9 255s
65251 10323 0.71203 47 150 0.70651 0.72172 2.15% 49.7 260s
66684 10620 cutoff 59 0.70651 0.72146 2.12% 49.5 265s
68343 10817 0.70867 90 105 0.70651 0.72110 2.07% 49.4 270s
69483 10942 cutoff 39 0.70651 0.72092 2.04% 49.4 275s
71085 11148 0.71203 63 90 0.70651 0.72061 2.00% 49.4 280s
72361 11279 cutoff 41 0.70651 0.72047 1.98% 49.4 285s
74085 11488 cutoff 65 0.70651 0.72008 1.92% 49.3 291s
75543 11798 cutoff 41 0.70651 0.71994 1.90% 49.1 295s
77108 12126 0.71205 84 112 0.70651 0.71969 1.87% 48.8 300s
78956 12375 0.70660 75 113 0.70651 0.71944 1.83% 48.6 306s
80482 12669 cutoff 76 0.70651 0.71924 1.80% 48.4 310s
82024 13045 0.70871 60 133 0.70651 0.71910 1.78% 48.1 315s
82953 13141 0.70954 57 167 0.70651 0.71899 1.77% 48.0 320s
85020 13605 infeasible 40 0.70651 0.71873 1.73% 47.7 325s
86827 13867 0.71384 74 116 0.70651 0.71851 1.70% 47.5 330s
88775 14199 0.71292 77 120 0.70651 0.71829 1.67% 47.2 335s
90766 14554 cutoff 54 0.70651 0.71808 1.64% 46.9 340s
92509 14753 cutoff 116 0.70651 0.71790 1.61% 46.8 346s
94261 15141 0.70671 94 113 0.70651 0.71778 1.60% 46.4 350s
95949 15360 0.70690 102 83 0.70651 0.71760 1.57% 46.3 355s
97854 15687 0.71314 67 95 0.70651 0.71741 1.54% 46.1 360s
100109 16130 0.70898 60 139 0.70651 0.71725 1.52% 45.7 365s
101762 16416 cutoff 69 0.70651 0.71713 1.50% 45.5 370s
103473 16647 cutoff 57 0.70651 0.71696 1.48% 45.4 375s
105528 16973 0.70818 69 164 0.70651 0.71682 1.46% 45.2 381s
107061 17327 0.71209 114 94 0.70651 0.71664 1.43% 45.0 386s
107991 17373 0.70828 67 132 0.70651 0.71657 1.42% 44.9 390s
110359 18012 cutoff 63 0.70651 0.71643 1.41% 44.5 395s
112571 18501 0.70773 65 141 0.70651 0.71633 1.39% 44.2 400s
115387 19266 cutoff 115 0.70651 0.71615 1.36% 43.8 406s
117075 19509 cutoff 78 0.70651 0.71602 1.35% 43.6 410s
119104 19897 0.71429 102 84 0.70651 0.71590 1.33% 43.4 415s
121194 20539 0.70909 161 48 0.70651 0.71581 1.32% 43.1 421s
123187 20924 cutoff 95 0.70651 0.71572 1.30% 42.9 425s
125377 21542 0.71060 83 109 0.70651 0.71563 1.29% 42.6 430s
128038 22439 cutoff 93 0.70651 0.71553 1.28% 42.2 435s
129982 22869 0.71187 99 105 0.70651 0.71542 1.26% 42.0 440s
132522 23518 0.70696 137 66 0.70651 0.71534 1.25% 41.7 445s
134550 24066 0.71435 93 107 0.70651 0.71526 1.24% 41.4 450s
136871 24581 infeasible 96 0.70651 0.71518 1.23% 41.2 455s
139150 25175 0.71196 120 78 0.70651 0.71508 1.21% 41.0 460s
140612 25507 0.70985 58 120 0.70651 0.71502 1.21% 40.9 466s
142575 25916 0.70845 47 149 0.70651 0.71495 1.19% 40.7 470s
144686 26307 0.70875 65 132 0.70651 0.71483 1.18% 40.5 475s
146884 26952 cutoff 102 0.70651 0.71475 1.17% 40.3 480s
149488 27764 0.70976 55 147 0.70651 0.71466 1.15% 40.0 486s
151622 28410 cutoff 56 0.70651 0.71459 1.14% 39.8 490s
154009 29038 0.70687 86 102 0.70651 0.71452 1.13% 39.5 495s
156616 29774 0.71311 96 97 0.70651 0.71443 1.12% 39.3 500s
158665 30251 0.71124 47 160 0.70651 0.71436 1.11% 39.1 505s
161124 30820 0.70990 71 115 0.70651 0.71429 1.10% 38.9 510s
163916 31680 0.70769 110 86 0.70651 0.71422 1.09% 38.6 515s
166170 32309 0.71212 107 90 0.70651 0.71415 1.08% 38.4 521s
167656 32621 0.70742 121 77 0.70651 0.71411 1.08% 38.3 525s
170387 33292 0.70933 131 83 0.70651 0.71404 1.07% 38.0 530s
172811 33897 0.70988 144 78 0.70651 0.71398 1.06% 37.8 535s
175336 34531 cutoff 89 0.70651 0.71391 1.05% 37.6 540s
177560 34890 cutoff 111 0.70651 0.71385 1.04% 37.4 545s
179743 35335 0.71134 63 156 0.70651 0.71380 1.03% 37.3 550s
182034 35605 0.71042 119 93 0.70651 0.71373 1.02% 37.2 555s
184389 35958 cutoff 89 0.70651 0.71368 1.02% 37.1 560s
186888 36412 0.71248 116 77 0.70651 0.71363 1.01% 36.9 565s
Cutting planes:
Gomory: 164
Cover: 3
Implied bound: 74
Projected implied bound: 59
MIR: 38
Flow cover: 205
Inf proof: 478
Explored 189522 nodes (6960466 simplex iterations) in 569.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.706507 0.706507
Optimal solution found (tolerance 1.00e-02)
Best objective 7.065067851931e-01, best bound 7.135609247399e-01, gap 0.9985%
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmposngx5k1.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0ifhzjdf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.70047
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.796545e-01, 1314 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.87965 0 129 0.70047 0.87965 25.6% - 0s
0 0 0.85891 0 135 0.70047 0.85891 22.6% - 0s
0 0 0.85888 0 136 0.70047 0.85888 22.6% - 0s
0 0 0.85119 0 143 0.70047 0.85119 21.5% - 0s
0 0 0.85114 0 143 0.70047 0.85114 21.5% - 0s
0 0 0.85063 0 146 0.70047 0.85063 21.4% - 0s
0 0 0.85045 0 147 0.70047 0.85045 21.4% - 0s
0 0 0.85045 0 147 0.70047 0.85045 21.4% - 0s
0 0 0.84998 0 146 0.70047 0.84998 21.3% - 0s
0 0 0.84997 0 146 0.70047 0.84997 21.3% - 0s
0 0 0.84995 0 148 0.70047 0.84995 21.3% - 0s
0 0 0.84982 0 150 0.70047 0.84982 21.3% - 0s
0 0 0.84981 0 150 0.70047 0.84981 21.3% - 0s
0 0 0.84979 0 150 0.70047 0.84979 21.3% - 0s
0 0 0.84972 0 149 0.70047 0.84972 21.3% - 0s
0 0 0.84969 0 156 0.70047 0.84969 21.3% - 0s
0 0 0.84969 0 130 0.70047 0.84969 21.3% - 0s
0 2 0.84969 0 130 0.70047 0.84969 21.3% - 0s
748 469 0.78008 18 161 0.70047 0.79337 13.3% 26.1 5s
2785 1074 cutoff 37 0.70047 0.76657 9.44% 26.0 11s
4277 1605 0.71636 46 137 0.70047 0.75920 8.38% 26.5 15s
6307 2183 0.72144 38 125 0.70047 0.74757 6.72% 28.3 20s
8757 3032 cutoff 39 0.70047 0.74337 6.12% 28.0 25s
11000 3704 cutoff 64 0.70047 0.74093 5.78% 27.6 30s
H12910 4366 0.7004705 0.73928 5.54% 27.1 33s
12919 4373 0.73594 44 132 0.70047 0.73928 5.54% 27.1 35s
15216 4945 0.72063 56 113 0.70047 0.73730 5.26% 26.9 40s
17898 5666 0.71568 86 110 0.70047 0.73555 5.01% 26.5 45s
20447 6333 0.72229 50 117 0.70047 0.73434 4.84% 26.3 50s
20981 6516 0.71578 54 121 0.70047 0.73419 4.81% 26.3 66s
22347 6780 0.71548 43 164 0.70047 0.73336 4.70% 26.9 70s
23623 6935 cutoff 59 0.70047 0.73270 4.60% 27.9 75s
25153 7101 0.72564 45 152 0.70047 0.73184 4.48% 28.9 80s
26809 7408 infeasible 46 0.70047 0.73116 4.38% 29.6 85s
28340 7609 0.71651 50 152 0.70047 0.73048 4.28% 30.3 90s
29708 7893 infeasible 45 0.70047 0.72980 4.19% 30.7 95s
31208 8119 cutoff 49 0.70047 0.72910 4.09% 31.3 100s
32644 8371 0.72218 46 134 0.70047 0.72862 4.02% 31.7 105s
34352 8621 cutoff 52 0.70047 0.72802 3.93% 32.2 110s
35664 8782 0.71897 55 143 0.70047 0.72758 3.87% 32.6 115s
36762 8880 infeasible 56 0.70047 0.72728 3.83% 32.8 120s
38097 8974 0.71449 60 152 0.70047 0.72681 3.76% 33.4 125s
39572 9139 0.71766 53 122 0.70047 0.72633 3.69% 33.7 130s
41431 9201 0.70803 52 154 0.70047 0.72569 3.60% 34.1 136s
43093 9404 0.70802 52 127 0.70047 0.72516 3.53% 34.3 141s
44840 9565 cutoff 48 0.70047 0.72472 3.46% 34.4 146s
46111 9662 0.72061 52 147 0.70047 0.72437 3.41% 34.6 150s
47826 9801 0.71266 45 144 0.70047 0.72396 3.35% 34.7 155s
49409 9847 0.71151 55 151 0.70047 0.72349 3.29% 34.9 160s
51474 10051 0.71053 80 121 0.70047 0.72295 3.21% 35.1 166s
52268 10101 0.71243 43 165 0.70047 0.72275 3.18% 35.1 171s
54066 10217 0.71497 63 147 0.70047 0.72238 3.13% 35.2 175s
55864 10435 0.71728 50 140 0.70047 0.72197 3.07% 35.2 180s
57447 10525 0.71745 57 140 0.70047 0.72157 3.01% 35.2 185s
59217 10718 cutoff 52 0.70047 0.72121 2.96% 35.1 190s
60957 10838 0.70956 55 145 0.70047 0.72076 2.90% 35.1 195s
62725 10962 0.71081 34 155 0.70047 0.72037 2.84% 35.1 200s
64788 11243 cutoff 62 0.70047 0.72003 2.79% 34.9 205s
H64835 11250 0.7004705 0.72003 2.79% 34.9 205s
65525 11257 0.71152 97 95 0.70047 0.71987 2.77% 35.0 210s
67537 11533 0.71790 91 88 0.70047 0.71949 2.72% 34.8 215s
69454 11688 0.71639 39 149 0.70047 0.71913 2.66% 34.6 220s
71908 12059 cutoff 57 0.70047 0.71866 2.60% 34.4 225s
73663 12273 0.70939 62 124 0.70047 0.71837 2.55% 34.3 230s
76238 12699 0.71321 51 143 0.70047 0.71803 2.51% 34.0 235s
78000 12864 cutoff 53 0.70047 0.71776 2.47% 33.9 240s
80559 13293 cutoff 58 0.70047 0.71751 2.43% 33.6 245s
82872 13598 0.71637 60 128 0.70047 0.71711 2.38% 33.4 250s
85248 13895 0.71062 93 112 0.70047 0.71676 2.33% 33.1 255s
87823 14371 cutoff 55 0.70047 0.71648 2.29% 32.8 261s
89960 14565 0.70993 72 133 0.70047 0.71617 2.24% 32.7 265s
92373 14970 0.70619 109 83 0.70047 0.71591 2.20% 32.4 270s
94797 15213 0.71396 56 148 0.70047 0.71564 2.17% 32.2 275s
96872 15390 0.71533 93 94 0.70047 0.71538 2.13% 32.1 280s
99785 15919 0.70603 67 112 0.70047 0.71508 2.09% 31.8 285s
102321 16334 0.70585 88 104 0.70047 0.71485 2.05% 31.5 290s
104757 16752 0.70569 68 130 0.70047 0.71464 2.02% 31.3 295s
107311 17141 0.70112 104 84 0.70047 0.71443 1.99% 31.0 300s
109899 17546 cutoff 58 0.70047 0.71426 1.97% 30.8 305s
112895 18091 0.71315 117 82 0.70047 0.71405 1.94% 30.5 310s
114803 18407 cutoff 74 0.70047 0.71390 1.92% 30.4 315s
117166 18531 0.70419 45 150 0.70047 0.71370 1.89% 30.2 320s
119956 18891 0.70400 111 99 0.70047 0.71344 1.85% 30.0 325s
122374 19223 0.70854 52 140 0.70047 0.71328 1.83% 29.8 330s
124484 19531 0.70283 123 79 0.70047 0.71313 1.81% 29.6 335s
*125447 19651 217 0.7005883 0.71310 1.79% 29.6 336s
125606 19707 0.70668 68 104 0.70059 0.71307 1.78% 29.5 340s
128495 20076 0.70751 117 95 0.70059 0.71286 1.75% 29.3 345s
130931 20249 0.70504 86 103 0.70059 0.71270 1.73% 29.2 350s
133910 20654 0.70907 139 71 0.70059 0.71250 1.70% 29.0 355s
136900 21026 cutoff 127 0.70059 0.71228 1.67% 28.7 360s
139371 21341 cutoff 75 0.70059 0.71207 1.64% 28.6 365s
142238 21602 cutoff 117 0.70059 0.71187 1.61% 28.4 370s
144992 21896 0.70916 57 149 0.70059 0.71167 1.58% 28.2 375s
147806 22092 cutoff 120 0.70059 0.71150 1.56% 28.1 380s
150777 22490 cutoff 101 0.70059 0.71133 1.53% 27.9 385s
153632 22796 0.71093 87 107 0.70059 0.71115 1.51% 27.7 390s
156693 23301 0.70119 158 59 0.70059 0.71098 1.48% 27.5 395s
159667 23705 0.70938 65 143 0.70059 0.71083 1.46% 27.3 400s
162777 24280 0.70525 130 77 0.70059 0.71066 1.44% 27.1 405s
165800 24740 0.71051 101 92 0.70059 0.71051 1.42% 26.9 410s
168798 24831 infeasible 124 0.70059 0.71031 1.39% 26.7 415s
H169981 25126 0.7005883 0.71026 1.38% 26.6 417s
171060 25255 0.71011 104 98 0.70059 0.71022 1.37% 26.6 420s
174177 25462 0.70963 88 117 0.70059 0.71004 1.35% 26.4 425s
176395 25817 0.70403 158 58 0.70059 0.70994 1.34% 26.3 430s
179441 26202 cutoff 114 0.70059 0.70980 1.31% 26.1 435s
182971 26695 cutoff 118 0.70059 0.70964 1.29% 25.9 440s
186151 27283 0.70823 140 83 0.70059 0.70951 1.27% 25.7 445s
189830 27966 0.70903 106 102 0.70059 0.70938 1.25% 25.5 450s
193911 28838 0.70167 125 77 0.70059 0.70923 1.23% 25.3 455s
196703 29294 infeasible 154 0.70059 0.70911 1.22% 25.1 460s
200293 29989 0.70777 100 108 0.70059 0.70900 1.20% 24.9 465s
204327 30843 cutoff 146 0.70059 0.70888 1.18% 24.7 470s
207660 31403 cutoff 81 0.70059 0.70876 1.17% 24.5 475s
211838 32591 0.70736 67 123 0.70059 0.70863 1.15% 24.3 480s
H213353 32970 0.7005883 0.70859 1.14% 24.2 482s
214620 32986 cutoff 90 0.70059 0.70855 1.14% 24.1 485s
218115 33520 0.70698 86 100 0.70059 0.70843 1.12% 24.0 490s
H218716 33717 0.7005883 0.70842 1.12% 23.9 491s
220709 33773 0.70646 156 67 0.70059 0.70834 1.11% 23.9 495s
223731 34276 0.70808 159 82 0.70059 0.70825 1.09% 23.7 500s
227365 35055 0.70306 176 52 0.70059 0.70816 1.08% 23.5 505s
230994 35665 cutoff 95 0.70059 0.70805 1.06% 23.4 510s
234568 36109 infeasible 115 0.70059 0.70792 1.05% 23.2 515s
238560 36764 0.70404 139 81 0.70059 0.70782 1.03% 23.1 520s
242797 37783 0.70767 114 85 0.70059 0.70774 1.02% 22.8 525s
246555 38324 0.70173 133 74 0.70059 0.70764 1.01% 22.7 530s
Cutting planes:
Gomory: 85
Cover: 4
Implied bound: 24
Projected implied bound: 39
Clique: 2
MIR: 30
Flow cover: 140
Inf proof: 22
Explored 248787 nodes (5623164 simplex iterations) in 532.66 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.700588 0.700588 0.700588 ... 0.70047
Optimal solution found (tolerance 1.00e-02)
Best objective 7.005882975669e-01, best bound 7.075932368904e-01, gap 0.9999%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpk77nnzlj.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp37d4couw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.692509
Presolve removed 858 rows and 555 columns
Presolve time: 0.03s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.680528e-01, 1381 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86805 0 133 0.69251 0.86805 25.3% - 0s
0 0 0.84387 0 140 0.69251 0.84387 21.9% - 0s
0 0 0.84386 0 140 0.69251 0.84386 21.9% - 0s
0 0 0.84016 0 146 0.69251 0.84016 21.3% - 0s
0 0 0.84008 0 142 0.69251 0.84008 21.3% - 0s
0 0 0.83996 0 146 0.69251 0.83996 21.3% - 0s
0 0 0.83981 0 156 0.69251 0.83981 21.3% - 0s
0 0 0.83981 0 154 0.69251 0.83981 21.3% - 0s
0 0 0.83981 0 152 0.69251 0.83981 21.3% - 0s
0 0 0.83981 0 147 0.69251 0.83981 21.3% - 0s
0 0 0.83978 0 146 0.69251 0.83978 21.3% - 0s
0 0 0.83978 0 133 0.69251 0.83978 21.3% - 0s
0 2 0.83978 0 133 0.69251 0.83978 21.3% - 0s
771 587 0.79492 22 148 0.69251 0.79900 15.4% 24.3 5s
3312 1502 0.71559 37 168 0.69251 0.76115 9.91% 22.0 10s
H 3604 1638 0.6925088 0.75932 9.65% 21.9 10s
5736 2514 infeasible 53 0.69251 0.75073 8.41% 22.2 15s
8382 3343 0.71429 43 142 0.69251 0.74554 7.66% 23.2 20s
10049 3848 0.69369 40 138 0.69251 0.74267 7.24% 24.1 25s
12334 4449 0.70638 42 140 0.69251 0.73982 6.83% 24.3 30s
14623 4872 0.73710 36 152 0.69251 0.73744 6.49% 25.6 35s
16385 5270 0.70293 68 141 0.69251 0.73593 6.27% 26.5 40s
17884 5565 0.70297 40 139 0.69251 0.73482 6.11% 27.4 45s
19349 5802 0.69993 52 133 0.69251 0.73357 5.93% 28.4 50s
21009 6058 infeasible 48 0.69251 0.73226 5.74% 29.2 72s
21734 6162 0.70762 47 155 0.69251 0.73177 5.67% 30.1 75s
23064 6384 0.69946 66 109 0.69251 0.73094 5.55% 31.6 80s
24127 6508 cutoff 43 0.69251 0.73020 5.44% 33.2 85s
25304 6715 cutoff 47 0.69251 0.72936 5.32% 34.7 90s
26379 6857 0.69651 58 142 0.69251 0.72864 5.22% 35.9 95s
27709 7056 cutoff 60 0.69251 0.72769 5.08% 37.3 100s
28897 7239 cutoff 57 0.69251 0.72707 4.99% 38.2 105s
29445 7328 0.70975 58 169 0.69251 0.72674 4.94% 38.8 110s
30615 7470 0.70961 47 162 0.69251 0.72614 4.86% 39.9 116s
31520 7536 cutoff 51 0.69251 0.72561 4.78% 40.8 120s
32883 7782 0.71686 64 139 0.69251 0.72502 4.69% 41.5 125s
33860 7862 0.69797 52 150 0.69251 0.72446 4.61% 42.2 130s
35103 7980 0.71445 56 154 0.69251 0.72372 4.51% 43.2 135s
36169 8090 cutoff 70 0.69251 0.72320 4.43% 43.8 140s
37576 8245 0.70219 43 160 0.69251 0.72257 4.34% 44.5 146s
38734 8388 0.71292 48 156 0.69251 0.72202 4.26% 44.9 150s
39984 8530 cutoff 47 0.69251 0.72150 4.19% 45.1 155s
41236 8703 cutoff 43 0.69251 0.72097 4.11% 45.3 160s
42330 8761 0.71435 51 150 0.69251 0.72053 4.05% 45.7 165s
44009 8919 0.69416 61 136 0.69251 0.71993 3.96% 46.0 171s
44791 9000 0.71079 45 165 0.69251 0.71964 3.92% 46.3 176s
45588 9024 0.70583 48 164 0.69251 0.71937 3.88% 46.4 180s
46855 9085 cutoff 49 0.69251 0.71892 3.81% 46.6 185s
47944 9156 infeasible 53 0.69251 0.71853 3.76% 46.9 190s
49279 9380 cutoff 43 0.69251 0.71808 3.69% 46.9 195s
50925 9494 cutoff 47 0.69251 0.71742 3.60% 47.2 201s
52276 9660 0.70226 67 124 0.69251 0.71703 3.54% 47.3 206s
53526 9702 0.70957 47 139 0.69251 0.71661 3.48% 47.5 210s
54682 9805 0.70069 49 164 0.69251 0.71622 3.42% 47.7 215s
55856 9936 cutoff 59 0.69251 0.71584 3.37% 47.9 220s
57191 10068 cutoff 32 0.69251 0.71552 3.32% 48.0 225s
58377 10079 0.70572 54 175 0.69251 0.71516 3.27% 48.2 230s
59725 10158 cutoff 49 0.69251 0.71465 3.20% 48.3 235s
61198 10381 infeasible 82 0.69251 0.71433 3.15% 48.2 240s
62974 10592 0.70974 48 164 0.69251 0.71385 3.08% 48.2 247s
63427 10576 cutoff 56 0.69251 0.71376 3.07% 48.3 251s
64811 10723 0.69509 48 150 0.69251 0.71335 3.01% 48.3 256s
66063 10879 cutoff 47 0.69251 0.71304 2.96% 48.3 260s
67541 11122 0.71238 78 107 0.69251 0.71271 2.92% 48.2 265s
69566 11390 cutoff 91 0.69251 0.71235 2.86% 48.0 271s
71099 11708 cutoff 58 0.69251 0.71203 2.82% 47.9 276s
72679 12084 0.69793 50 180 0.69251 0.71176 2.78% 47.7 280s
74484 12269 cutoff 70 0.69251 0.71137 2.72% 47.6 286s
76005 12539 cutoff 46 0.69251 0.71115 2.69% 47.4 290s
77382 12750 cutoff 59 0.69251 0.71089 2.65% 47.3 295s
79112 12856 0.70159 48 161 0.69251 0.71053 2.60% 47.4 300s
80517 12977 cutoff 42 0.69251 0.71029 2.57% 47.3 305s
82318 13177 cutoff 49 0.69251 0.70989 2.51% 47.3 310s
83972 13319 0.69572 49 163 0.69251 0.70958 2.47% 47.2 316s
85173 13335 cutoff 62 0.69251 0.70931 2.43% 47.3 320s
86782 13522 0.69649 55 152 0.69251 0.70902 2.38% 47.3 325s
H87215 13635 0.6925088 0.70893 2.37% 47.3 328s
87652 13588 0.70806 49 143 0.69251 0.70886 2.36% 47.3 331s
88815 13613 0.69851 46 149 0.69251 0.70862 2.33% 47.3 335s
90619 13862 0.69608 73 142 0.69251 0.70832 2.28% 47.2 341s
92178 14171 0.69930 53 166 0.69251 0.70817 2.26% 47.0 346s
93506 14301 cutoff 50 0.69251 0.70791 2.22% 47.0 351s
94792 14337 0.70762 82 125 0.69251 0.70770 2.19% 47.0 355s
96644 14459 cutoff 40 0.69251 0.70746 2.16% 47.0 361s
98047 14530 cutoff 42 0.69251 0.70725 2.13% 46.9 365s
100007 14964 cutoff 49 0.69251 0.70709 2.11% 46.6 370s
101726 15290 cutoff 62 0.69251 0.70689 2.08% 46.4 375s
103285 15582 0.69976 77 126 0.69251 0.70676 2.06% 46.2 380s
105307 15862 0.70496 94 108 0.69251 0.70650 2.02% 46.0 385s
107166 16153 0.70560 79 120 0.69251 0.70627 1.99% 45.8 390s
109100 16367 0.69899 49 157 0.69251 0.70611 1.96% 45.7 395s
111111 16743 0.70477 95 116 0.69251 0.70591 1.93% 45.5 401s
113007 17061 0.70023 84 105 0.69251 0.70572 1.91% 45.3 406s
113801 17108 0.69662 51 149 0.69251 0.70563 1.89% 45.3 410s
115749 17328 0.70333 95 100 0.69251 0.70540 1.86% 45.1 416s
117330 17572 0.69443 111 113 0.69251 0.70530 1.85% 45.0 420s
119467 17870 cutoff 100 0.69251 0.70512 1.82% 44.7 426s
121295 18019 0.69460 65 139 0.69251 0.70492 1.79% 44.6 430s
123367 18300 0.69496 107 91 0.69251 0.70477 1.77% 44.4 435s
125389 18698 0.69360 51 142 0.69251 0.70458 1.74% 44.2 441s
127409 19101 cutoff 51 0.69251 0.70445 1.72% 44.0 445s
129176 19287 cutoff 106 0.69251 0.70427 1.70% 43.9 450s
131459 19774 cutoff 87 0.69251 0.70411 1.68% 43.6 455s
133344 20078 0.69836 107 95 0.69251 0.70396 1.65% 43.4 460s
135179 20315 0.69574 112 103 0.69251 0.70377 1.63% 43.3 465s
136725 20542 cutoff 107 0.69251 0.70364 1.61% 43.2 470s
138716 20953 cutoff 56 0.69251 0.70351 1.59% 43.0 475s
140831 21347 cutoff 114 0.69251 0.70333 1.56% 42.8 480s
142565 21573 0.69738 135 85 0.69251 0.70318 1.54% 42.7 485s
144840 22187 0.69651 126 84 0.69251 0.70306 1.52% 42.5 490s
147686 23063 0.69485 53 181 0.69251 0.70290 1.50% 42.1 495s
149712 23652 0.70114 124 105 0.69251 0.70278 1.48% 41.9 500s
152228 24123 cutoff 63 0.69251 0.70265 1.46% 41.7 505s
154441 24634 0.69899 64 156 0.69251 0.70256 1.45% 41.4 510s
156366 25217 cutoff 38 0.69251 0.70244 1.43% 41.2 515s
158950 25858 cutoff 95 0.69251 0.70237 1.42% 40.9 520s
161780 26646 cutoff 126 0.69251 0.70225 1.41% 40.6 525s
163872 27296 cutoff 95 0.69251 0.70218 1.40% 40.3 530s
166437 27987 cutoff 52 0.69251 0.70207 1.38% 40.1 535s
168388 28640 0.69436 91 123 0.69251 0.70202 1.37% 39.9 540s
170445 29147 cutoff 116 0.69251 0.70198 1.37% 39.7 545s
173346 30179 0.69378 168 36 0.69251 0.70189 1.35% 39.3 550s
175866 30817 0.69870 137 85 0.69251 0.70180 1.34% 39.1 555s
178747 31622 0.70142 123 100 0.69251 0.70171 1.33% 38.8 560s
180407 32096 cutoff 47 0.69251 0.70167 1.32% 38.6 565s
182923 32725 0.69680 66 136 0.69251 0.70159 1.31% 38.4 570s
185111 33395 0.69462 85 118 0.69251 0.70154 1.30% 38.2 575s
187739 34162 0.69846 134 96 0.69251 0.70148 1.30% 37.9 580s
190654 34976 infeasible 131 0.69251 0.70139 1.28% 37.7 585s
193380 35706 0.69327 150 70 0.69251 0.70132 1.27% 37.4 590s
195793 36374 0.70061 126 95 0.69251 0.70126 1.26% 37.2 595s
198292 37063 0.69338 161 55 0.69251 0.70122 1.26% 37.0 600s
Cutting planes:
Learned: 1
Gomory: 146
Cover: 2
Implied bound: 88
Projected implied bound: 61
MIR: 24
Flow cover: 153
Inf proof: 480
Explored 198761 nodes (7355776 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.692509 0.692509 0.692509
Time limit reached
Best objective 6.925088402144e-01, best bound 7.012121273290e-01, gap 1.2568%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnnrgekc2.pyomo.lp
Reading time = 0.02 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbcynuqyz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.681987
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 8.535568e-01, 1323 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85356 0 134 0.68199 0.85356 25.2% - 0s
0 0 0.83026 0 139 0.68199 0.83026 21.7% - 0s
0 0 0.83004 0 144 0.68199 0.83004 21.7% - 0s
0 0 0.82587 0 151 0.68199 0.82587 21.1% - 0s
0 0 0.82587 0 151 0.68199 0.82587 21.1% - 0s
0 0 0.82502 0 155 0.68199 0.82502 21.0% - 0s
0 0 0.82502 0 157 0.68199 0.82502 21.0% - 0s
0 0 0.82486 0 165 0.68199 0.82486 20.9% - 0s
0 0 0.82483 0 165 0.68199 0.82483 20.9% - 0s
0 0 0.82476 0 157 0.68199 0.82476 20.9% - 0s
0 0 0.82461 0 157 0.68199 0.82461 20.9% - 0s
0 0 0.82459 0 161 0.68199 0.82459 20.9% - 0s
0 0 0.82444 0 162 0.68199 0.82444 20.9% - 0s
0 0 0.82418 0 168 0.68199 0.82418 20.9% - 0s
0 0 0.82418 0 167 0.68199 0.82418 20.9% - 0s
0 0 0.82418 0 167 0.68199 0.82418 20.9% - 0s
0 0 0.82418 0 140 0.68199 0.82418 20.9% - 0s
0 2 0.82418 0 140 0.68199 0.82418 20.9% - 0s
796 566 0.75367 22 142 0.68199 0.78057 14.5% 21.7 5s
2858 1000 cutoff 32 0.68199 0.75167 10.2% 22.3 10s
4932 1760 infeasible 26 0.68199 0.73759 8.15% 23.7 15s
7038 2430 0.72165 38 115 0.68199 0.73096 7.18% 24.8 20s
H 7252 2482 0.6819870 0.73039 7.10% 25.1 21s
8886 2988 0.70052 59 117 0.68199 0.72618 6.48% 25.7 25s
10683 3386 0.70157 32 139 0.68199 0.72198 5.86% 26.8 30s
12506 4011 0.70834 58 125 0.68199 0.72016 5.60% 26.8 35s
15128 4846 0.71078 65 126 0.68199 0.71758 5.22% 26.8 40s
17518 5405 0.70213 31 132 0.68199 0.71552 4.92% 27.0 45s
19741 5969 0.69698 35 126 0.68199 0.71397 4.69% 27.2 50s
20615 6185 0.70608 61 135 0.68199 0.71335 4.60% 27.2 71s
21861 6326 0.68391 52 150 0.68199 0.71256 4.48% 28.0 75s
23190 6408 infeasible 56 0.68199 0.71180 4.37% 29.2 80s
24404 6491 0.71097 63 135 0.68199 0.71097 4.25% 30.3 85s
25722 6555 infeasible 55 0.68199 0.71016 4.13% 31.1 90s
27065 6682 cutoff 51 0.68199 0.70946 4.03% 32.0 95s
28352 6778 infeasible 47 0.68199 0.70887 3.94% 32.6 100s
29774 7024 0.69685 61 118 0.68199 0.70820 3.84% 32.9 105s
31493 7270 cutoff 46 0.68199 0.70758 3.75% 33.2 110s
32960 7426 0.68887 73 127 0.68199 0.70693 3.66% 33.5 115s
34493 7564 0.68609 61 151 0.68199 0.70645 3.59% 33.9 120s
36008 7665 0.69194 60 133 0.68199 0.70599 3.52% 34.1 125s
37603 7902 cutoff 70 0.68199 0.70545 3.44% 34.3 131s
38344 7899 0.70206 56 151 0.68199 0.70521 3.41% 34.4 135s
39955 8102 0.69137 69 102 0.68199 0.70480 3.35% 34.6 140s
41597 8213 cutoff 52 0.68199 0.70432 3.28% 34.7 145s
43185 8341 cutoff 80 0.68199 0.70383 3.20% 34.9 150s
44864 8532 cutoff 64 0.68199 0.70340 3.14% 35.0 155s
46798 8816 infeasible 41 0.68199 0.70303 3.09% 34.8 161s
48610 9097 0.69404 115 131 0.68199 0.70263 3.03% 34.7 166s
50703 9627 cutoff 67 0.68199 0.70225 2.97% 34.5 171s
52530 9936 0.69638 56 152 0.68199 0.70186 2.91% 34.3 175s
H53247 10087 0.6819870 0.70182 2.91% 34.3 177s
53314 10116 cutoff 57 0.68199 0.70176 2.90% 34.3 180s
54855 10485 0.69861 100 78 0.68199 0.70155 2.87% 34.1 185s
56823 10907 0.68418 91 89 0.68199 0.70126 2.83% 33.8 190s
58884 11434 0.69075 98 103 0.68199 0.70097 2.78% 33.5 195s
62347 12778 0.69833 81 121 0.68199 0.70072 2.75% 32.8 200s
65146 13801 0.68937 63 126 0.68199 0.70031 2.69% 32.3 205s
68258 14818 infeasible 69 0.68199 0.70003 2.65% 31.8 210s
70876 15682 0.69254 63 136 0.68199 0.69982 2.62% 31.4 215s
73936 16755 cutoff 72 0.68199 0.69953 2.57% 30.9 220s
76411 17390 0.69678 95 105 0.68199 0.69929 2.54% 30.7 225s
78958 17913 cutoff 61 0.68199 0.69905 2.50% 30.5 230s
82157 19067 infeasible 107 0.68199 0.69884 2.47% 30.1 235s
84434 19695 cutoff 121 0.68199 0.69867 2.45% 29.8 240s
87184 20379 infeasible 71 0.68199 0.69849 2.42% 29.6 245s
89906 20997 0.69448 82 123 0.68199 0.69833 2.40% 29.4 250s
93022 22013 0.69086 117 88 0.68199 0.69816 2.37% 29.0 255s
95860 22912 0.69333 76 100 0.68199 0.69798 2.35% 28.8 260s
98912 23792 infeasible 121 0.68199 0.69782 2.32% 28.5 265s
101663 24528 infeasible 65 0.68199 0.69769 2.30% 28.3 270s
103047 24886 cutoff 76 0.68199 0.69763 2.29% 28.2 275s
105738 25526 cutoff 60 0.68199 0.69747 2.27% 28.0 280s
108735 26281 0.69682 125 72 0.68199 0.69732 2.25% 27.8 285s
111280 26826 cutoff 57 0.68199 0.69719 2.23% 27.7 290s
114029 27713 0.68240 163 81 0.68199 0.69709 2.21% 27.4 295s
116700 28301 0.68383 127 86 0.68199 0.69695 2.19% 27.3 300s
119388 28844 0.69165 103 105 0.68199 0.69682 2.17% 27.2 305s
121684 29366 0.68637 143 78 0.68199 0.69673 2.16% 27.0 310s
123858 29906 cutoff 142 0.68199 0.69666 2.15% 26.9 315s
126694 30503 infeasible 69 0.68199 0.69651 2.13% 26.8 320s
129756 31588 0.68478 124 101 0.68199 0.69642 2.12% 26.5 325s
133162 32512 cutoff 133 0.68199 0.69629 2.10% 26.3 330s
135738 33015 0.68433 112 94 0.68199 0.69617 2.08% 26.2 335s
137797 33437 0.68305 176 62 0.68199 0.69606 2.06% 26.1 340s
140040 33875 0.68232 174 97 0.68199 0.69596 2.05% 26.0 345s
143065 34446 infeasible 133 0.68199 0.69583 2.03% 25.9 350s
146017 35045 0.69281 100 102 0.68199 0.69570 2.01% 25.8 355s
148901 35433 0.68878 111 89 0.68199 0.69558 1.99% 25.6 360s
151558 35953 0.68569 106 92 0.68199 0.69547 1.98% 25.5 365s
154056 36558 cutoff 161 0.68199 0.69536 1.96% 25.4 370s
156530 37051 0.68736 78 119 0.68199 0.69527 1.95% 25.3 375s
159512 37617 cutoff 52 0.68199 0.69519 1.94% 25.2 380s
162012 38132 0.69011 129 73 0.68199 0.69507 1.92% 25.1 385s
165309 38952 0.68723 121 90 0.68199 0.69500 1.91% 25.0 390s
168288 39552 0.69252 117 90 0.68199 0.69489 1.89% 24.8 395s
171154 39995 0.69010 171 92 0.68199 0.69478 1.88% 24.7 401s
173184 40441 0.69293 122 74 0.68199 0.69470 1.86% 24.7 405s
176035 41009 infeasible 60 0.68199 0.69461 1.85% 24.6 410s
178990 41530 cutoff 70 0.68199 0.69452 1.84% 24.5 415s
181901 42014 0.69043 117 82 0.68199 0.69442 1.82% 24.4 420s
184504 42355 0.68596 101 89 0.68199 0.69432 1.81% 24.3 425s
187407 42948 0.68537 54 144 0.68199 0.69424 1.80% 24.2 431s
189589 43596 0.68609 164 63 0.68199 0.69418 1.79% 24.2 435s
192274 44203 cutoff 182 0.68199 0.69410 1.78% 24.1 440s
195065 44587 cutoff 52 0.68199 0.69399 1.76% 24.0 445s
197808 44954 0.69215 141 64 0.68199 0.69390 1.75% 23.9 450s
200258 45372 infeasible 78 0.68199 0.69381 1.73% 23.9 455s
203239 45957 infeasible 36 0.68199 0.69374 1.72% 23.8 460s
206241 46454 cutoff 86 0.68199 0.69362 1.71% 23.7 465s
209319 47079 0.68396 85 122 0.68199 0.69355 1.69% 23.6 470s
211964 47489 0.68472 100 96 0.68199 0.69346 1.68% 23.5 475s
214972 48006 cutoff 89 0.68199 0.69337 1.67% 23.5 480s
217012 48532 cutoff 106 0.68199 0.69331 1.66% 23.4 485s
219850 48931 0.69184 51 124 0.68199 0.69322 1.65% 23.3 490s
222817 49516 0.69314 78 119 0.68199 0.69314 1.64% 23.2 495s
225731 50076 0.68708 119 90 0.68199 0.69306 1.62% 23.2 500s
228760 50727 0.69058 106 107 0.68199 0.69299 1.61% 23.1 505s
232456 51577 cutoff 75 0.68199 0.69291 1.60% 23.0 510s
235478 52290 0.68293 110 93 0.68199 0.69283 1.59% 22.9 515s
238854 52873 infeasible 126 0.68199 0.69274 1.58% 22.8 520s
241414 53224 0.68940 115 96 0.68199 0.69266 1.57% 22.8 525s
244374 53788 0.68300 143 69 0.68199 0.69259 1.55% 22.7 530s
247926 54564 0.68806 65 150 0.68199 0.69250 1.54% 22.6 535s
250702 54949 0.69114 111 93 0.68199 0.69242 1.53% 22.6 540s
253614 55548 0.68226 222 40 0.68199 0.69235 1.52% 22.5 545s
256336 56053 0.68839 131 76 0.68199 0.69229 1.51% 22.4 550s
259329 56685 cutoff 112 0.68199 0.69223 1.50% 22.3 555s
262421 57304 cutoff 110 0.68199 0.69215 1.49% 22.3 560s
265716 57819 0.69018 98 103 0.68199 0.69206 1.48% 22.2 565s
268904 58729 0.68549 111 100 0.68199 0.69200 1.47% 22.1 570s
271275 59148 infeasible 163 0.68199 0.69194 1.46% 22.1 575s
274083 59752 cutoff 106 0.68199 0.69188 1.45% 22.0 580s
277457 60357 cutoff 118 0.68199 0.69181 1.44% 21.9 585s
280709 60857 infeasible 52 0.68199 0.69173 1.43% 21.9 590s
284205 61583 0.68780 72 114 0.68199 0.69168 1.42% 21.8 595s
286847 61985 infeasible 142 0.68199 0.69161 1.41% 21.8 600s
Cutting planes:
Gomory: 96
Implied bound: 27
Projected implied bound: 36
Clique: 1
MIR: 30
Flow cover: 148
Inf proof: 21
Explored 286910 nodes (6247181 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.681987 0.681987 0.681987
Time limit reached
Best objective 6.819870102495e-01, best bound 6.916083501487e-01, gap 1.4108%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnl65nsef.pyomo.lp
Reading time = 0.02 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpf4y73r04.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.672654
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 8.389182e-01, 1452 iterations, 0.05 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.83892 0 135 0.67265 0.83892 24.7% - 0s
0 0 0.81445 0 141 0.67265 0.81445 21.1% - 0s
0 0 0.81445 0 141 0.67265 0.81445 21.1% - 0s
0 0 0.81264 0 156 0.67265 0.81264 20.8% - 0s
0 0 0.81264 0 156 0.67265 0.81264 20.8% - 0s
0 0 0.81236 0 154 0.67265 0.81236 20.8% - 0s
0 0 0.81220 0 154 0.67265 0.81220 20.7% - 0s
0 0 0.81182 0 159 0.67265 0.81182 20.7% - 0s
0 0 0.81166 0 159 0.67265 0.81166 20.7% - 0s
0 0 0.81088 0 151 0.67265 0.81088 20.5% - 0s
0 0 0.81088 0 151 0.67265 0.81088 20.5% - 0s
0 0 0.81077 0 154 0.67265 0.81077 20.5% - 0s
0 0 0.81073 0 166 0.67265 0.81073 20.5% - 0s
0 0 0.81073 0 142 0.67265 0.81073 20.5% - 0s
0 2 0.81073 0 138 0.67265 0.81073 20.5% - 0s
774 562 0.70864 22 163 0.67265 0.76798 14.2% 24.3 5s
2615 933 0.70794 34 135 0.67265 0.74727 11.1% 26.4 10s
4169 1500 cutoff 37 0.67265 0.73433 9.17% 27.1 15s
5923 1753 0.68980 61 113 0.67265 0.72573 7.89% 31.5 20s
7562 1954 0.69954 44 148 0.67265 0.72053 7.12% 33.4 25s
9922 2583 cutoff 85 0.67265 0.71602 6.45% 32.5 30s
11749 2811 0.70674 36 128 0.67265 0.71322 6.03% 33.8 35s
H12939 3057 0.6726541 0.71107 5.71% 34.3 38s
H12960 3070 0.6726541 0.71107 5.71% 34.2 39s
12983 3028 0.67441 63 122 0.67265 0.71107 5.71% 34.3 40s
14990 3515 cutoff 42 0.67265 0.70920 5.43% 33.9 45s
17129 3816 0.69423 58 108 0.67265 0.70700 5.11% 33.7 50s
19774 4314 0.70312 49 124 0.67265 0.70484 4.79% 33.3 55s
20799 4555 0.68662 49 115 0.67265 0.70383 4.63% 32.8 76s
21807 4647 cutoff 53 0.67265 0.70291 4.50% 33.7 80s
22620 4817 0.68039 60 122 0.67265 0.70241 4.42% 34.4 85s
23667 4825 0.68824 68 126 0.67265 0.70145 4.28% 35.7 90s
24623 4899 0.69169 55 127 0.67265 0.70060 4.15% 36.7 95s
25970 5039 0.68143 63 106 0.67265 0.69977 4.03% 37.6 100s
27579 5335 0.67804 78 95 0.67265 0.69893 3.91% 37.9 105s
28787 5471 infeasible 40 0.67265 0.69831 3.81% 38.6 110s
30041 5485 cutoff 54 0.67265 0.69728 3.66% 39.3 115s
31481 5633 0.69469 54 133 0.67265 0.69660 3.56% 39.7 120s
32864 5706 0.68224 65 142 0.67265 0.69584 3.45% 40.2 125s
34405 5876 infeasible 39 0.67265 0.69512 3.34% 40.3 130s
36030 5992 cutoff 74 0.67265 0.69448 3.24% 40.4 135s
37820 6303 0.68369 53 161 0.67265 0.69395 3.17% 40.2 140s
39395 6496 cutoff 60 0.67265 0.69349 3.10% 40.3 145s
41178 6673 0.68832 78 107 0.67265 0.69293 3.01% 40.3 151s
42521 6856 0.67820 96 116 0.67265 0.69261 2.97% 40.2 155s
44486 7472 0.67781 100 88 0.67265 0.69220 2.91% 39.7 160s
46600 8031 0.67938 169 79 0.67265 0.69175 2.84% 39.2 165s
49495 9004 0.68795 74 110 0.67265 0.69129 2.77% 38.3 170s
51639 9579 0.68757 116 111 0.67265 0.69092 2.72% 37.8 175s
54431 10488 0.67284 74 114 0.67265 0.69051 2.65% 37.2 180s
57119 11544 cutoff 53 0.67265 0.69030 2.62% 36.6 185s
59491 12386 0.68163 65 135 0.67265 0.69011 2.60% 35.9 190s
62314 13528 0.68834 124 83 0.67265 0.68992 2.57% 35.2 195s
64555 14423 0.68637 83 93 0.67265 0.68972 2.54% 34.6 201s
66671 15126 cutoff 38 0.67265 0.68956 2.51% 34.1 205s
69291 15865 cutoff 91 0.67265 0.68932 2.48% 33.6 210s
71838 16510 0.67572 90 107 0.67265 0.68910 2.44% 33.3 215s
74884 17448 0.67365 121 84 0.67265 0.68892 2.42% 32.8 220s
77985 18455 0.68536 61 149 0.67265 0.68877 2.40% 32.3 225s
80918 19383 0.68216 66 144 0.67265 0.68860 2.37% 31.8 230s
84456 20654 cutoff 61 0.67265 0.68848 2.35% 31.2 235s
87686 21633 0.67639 158 79 0.67265 0.68835 2.33% 30.8 240s
91051 22860 0.67915 119 88 0.67265 0.68822 2.31% 30.3 245s
94096 23693 0.67801 102 108 0.67265 0.68812 2.30% 30.0 250s
96583 24245 0.68066 136 98 0.67265 0.68801 2.28% 29.8 255s
99808 25142 cutoff 126 0.67265 0.68788 2.26% 29.5 260s
101398 25476 0.68428 63 122 0.67265 0.68779 2.25% 29.3 265s
104148 26256 0.68645 59 126 0.67265 0.68767 2.23% 29.1 270s
107055 27095 0.67359 66 105 0.67265 0.68755 2.21% 28.8 275s
110169 28115 cutoff 140 0.67265 0.68744 2.20% 28.5 280s
113452 29056 0.68707 96 112 0.67265 0.68730 2.18% 28.2 285s
116491 30057 0.67367 93 113 0.67265 0.68719 2.16% 28.0 290s
119540 30874 0.68679 130 87 0.67265 0.68707 2.14% 27.8 295s
122234 31537 0.68205 120 94 0.67265 0.68695 2.13% 27.6 300s
125170 32330 0.67991 103 96 0.67265 0.68686 2.11% 27.5 305s
128494 33192 0.67388 83 109 0.67265 0.68673 2.09% 27.2 310s
130856 33728 cutoff 147 0.67265 0.68663 2.08% 27.2 315s
133400 34332 0.67995 111 110 0.67265 0.68655 2.07% 27.0 320s
135982 34914 0.67599 66 130 0.67265 0.68644 2.05% 26.9 325s
139114 35872 0.68224 67 137 0.67265 0.68636 2.04% 26.8 331s
140325 36093 0.68624 99 126 0.67265 0.68631 2.03% 26.7 335s
143115 36791 0.67994 90 119 0.67265 0.68621 2.02% 26.6 340s
146228 37638 0.67987 129 88 0.67265 0.68612 2.00% 26.5 345s
149295 38492 cutoff 92 0.67265 0.68602 1.99% 26.3 350s
151927 39021 cutoff 123 0.67265 0.68592 1.97% 26.2 355s
154964 39756 0.67672 144 84 0.67265 0.68582 1.96% 26.1 360s
157884 40515 cutoff 86 0.67265 0.68572 1.94% 26.0 365s
160417 41042 cutoff 68 0.67265 0.68563 1.93% 25.9 370s
163101 41626 0.67806 138 87 0.67265 0.68554 1.92% 25.9 375s
166442 42506 0.68092 106 91 0.67265 0.68546 1.90% 25.7 380s
169602 43456 0.68522 88 106 0.67265 0.68537 1.89% 25.6 385s
172660 44145 0.68526 80 96 0.67265 0.68526 1.87% 25.5 391s
174599 44625 infeasible 61 0.67265 0.68520 1.86% 25.4 395s
177577 45325 infeasible 113 0.67265 0.68513 1.85% 25.3 400s
180223 45983 0.68250 54 141 0.67265 0.68506 1.84% 25.2 405s
183229 46754 0.67645 57 137 0.67265 0.68498 1.83% 25.1 410s
186135 47424 infeasible 72 0.67265 0.68491 1.82% 25.0 415s
188937 47890 0.68475 62 141 0.67265 0.68482 1.81% 24.9 420s
191581 48356 0.68385 80 113 0.67265 0.68475 1.80% 24.9 425s
195385 49386 0.67451 159 75 0.67265 0.68465 1.78% 24.7 430s
198378 50203 infeasible 147 0.67265 0.68458 1.77% 24.6 435s
199867 50399 0.68363 87 108 0.67265 0.68454 1.77% 24.6 440s
202128 50963 cutoff 88 0.67265 0.68447 1.76% 24.5 445s
204952 51482 0.68055 73 142 0.67265 0.68439 1.74% 24.5 450s
208014 52150 0.68334 106 75 0.67265 0.68430 1.73% 24.4 455s
210744 52629 0.67745 148 79 0.67265 0.68422 1.72% 24.4 460s
213546 53119 cutoff 91 0.67265 0.68414 1.71% 24.3 465s
216903 54071 0.67814 63 138 0.67265 0.68407 1.70% 24.2 470s
219943 54490 cutoff 120 0.67265 0.68397 1.68% 24.1 475s
222928 55132 0.67320 201 41 0.67265 0.68389 1.67% 24.0 480s
225924 55851 0.67348 132 92 0.67265 0.68382 1.66% 24.0 485s
228724 56370 cutoff 93 0.67265 0.68375 1.65% 23.9 490s
231532 56935 0.68235 36 146 0.67265 0.68367 1.64% 23.9 495s
235399 58047 0.68074 140 101 0.67265 0.68359 1.63% 23.7 500s
237506 58470 0.67320 115 121 0.67265 0.68353 1.62% 23.7 505s
239133 58850 0.68267 72 115 0.67265 0.68350 1.61% 23.6 510s
242356 59557 0.68278 123 121 0.67265 0.68343 1.60% 23.6 515s
245025 60035 0.68213 112 123 0.67265 0.68337 1.59% 23.5 520s
248174 60835 cutoff 124 0.67265 0.68331 1.58% 23.4 525s
252007 61923 0.68030 93 106 0.67265 0.68325 1.58% 23.3 530s
254802 62495 0.68131 122 117 0.67265 0.68319 1.57% 23.3 535s
258860 63643 0.67926 91 113 0.67265 0.68310 1.55% 23.1 540s
261988 64523 0.68017 143 85 0.67265 0.68304 1.54% 23.1 545s
265035 65165 cutoff 110 0.67265 0.68299 1.54% 23.0 550s
268036 65795 infeasible 131 0.67265 0.68294 1.53% 23.0 555s
271431 66565 infeasible 100 0.67265 0.68287 1.52% 22.9 560s
274199 67165 cutoff 120 0.67265 0.68283 1.51% 22.8 566s
276125 67510 0.67299 106 93 0.67265 0.68279 1.51% 22.8 570s
279293 68332 cutoff 94 0.67265 0.68272 1.50% 22.7 575s
282231 68891 cutoff 109 0.67265 0.68267 1.49% 22.7 580s
285683 69677 0.68236 114 113 0.67265 0.68261 1.48% 22.6 585s
288703 70344 0.67988 71 130 0.67265 0.68256 1.47% 22.5 590s
292070 71032 cutoff 64 0.67265 0.68249 1.46% 22.5 595s
294785 71509 cutoff 63 0.67265 0.68245 1.46% 22.5 600s
Cutting planes:
Gomory: 102
Cover: 2
Implied bound: 18
Projected implied bound: 45
Clique: 4
MIR: 37
Flow cover: 139
Inf proof: 24
Explored 295216 nodes (6630039 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.672654 0.672654 0.672654
Time limit reached
Best objective 6.726541453995e-01, best bound 6.824348659224e-01, gap 1.4540%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Run 8
Seed for training 451
Seed for simulation 739
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.74664487e-05, -6.74498727e-06, -4.59428299e-06]])
fopt: 0.416708316159794
fun: -0.41672711722779193
message: 'Optimization terminated successfully.'
nfev: 450
nit: 6
status: 0
success: True
x: array([263.85688898, 8.00133277, 5.14083088])
xopt: array([263., 9., 6.])
zopt: array([263., 272., 278.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4a4qk8qc.pyomo.lp
Reading time = 0.01 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpy_qtxqwl.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [2e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.416708
Presolve removed 899 rows and 580 columns
Presolve time: 0.03s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 9.207246e-01, 1410 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92072 0 142 0.41671 0.92072 121% - 0s
0 0 0.89570 0 138 0.41671 0.89570 115% - 0s
0 0 0.89479 0 140 0.41671 0.89479 115% - 0s
0 0 0.89414 0 136 0.41671 0.89414 115% - 0s
0 0 0.89414 0 136 0.41671 0.89414 115% - 0s
0 0 0.89410 0 146 0.41671 0.89410 115% - 0s
0 0 0.89410 0 149 0.41671 0.89410 115% - 0s
0 0 0.89410 0 148 0.41671 0.89410 115% - 0s
0 0 0.89410 0 141 0.41671 0.89410 115% - 0s
0 2 0.89410 0 141 0.41671 0.89410 115% - 0s
1197 721 0.66502 16 126 0.41671 0.83767 101% 31.0 5s
* 3236 1450 172 0.4457965 0.80538 80.7% 25.5 9s
3559 1720 0.48195 44 139 0.44580 0.80239 80.0% 25.4 10s
H 4624 1877 0.5296832 0.80030 51.1% 25.0 13s
H 4625 1641 0.5675930 0.80030 41.0% 25.0 13s
5628 2280 0.65161 42 151 0.56759 0.79125 39.4% 24.3 15s
9036 4590 0.57005 62 121 0.56759 0.78671 38.6% 22.0 20s
11911 6204 0.59463 64 98 0.56759 0.78416 38.2% 22.6 25s
13243 7016 0.72046 39 169 0.56759 0.78277 37.9% 22.7 30s
16316 8819 0.64440 54 133 0.56759 0.77886 37.2% 22.8 35s
H17492 9532 0.5675930 0.77738 37.0% 22.9 38s
H17493 8840 0.5764799 0.77738 34.8% 22.9 38s
18121 9148 0.77039 41 122 0.57648 0.77686 34.8% 23.0 40s
*20222 9883 188 0.5835542 0.77536 32.9% 23.1 43s
H20780 4925 0.6812026 0.77506 13.8% 23.1 62s
20790 4924 0.70386 45 223 0.68120 0.77506 13.8% 23.1 65s
20795 4927 0.68370 71 247 0.68120 0.77506 13.8% 23.1 70s
20802 4932 0.72194 45 265 0.68120 0.77506 13.8% 23.1 75s
20806 4935 0.74049 37 272 0.68120 0.77506 13.8% 23.1 80s
20812 4939 0.68348 44 269 0.68120 0.77506 13.8% 23.1 85s
20817 4942 0.70818 37 280 0.68120 0.77506 13.8% 23.1 90s
20822 4945 0.73672 59 280 0.68120 0.77506 13.8% 23.1 95s
20826 4948 0.77317 25 267 0.68120 0.77506 13.8% 23.1 100s
20833 4953 0.77200 38 290 0.68120 0.77506 13.8% 23.0 106s
20837 4955 0.76703 37 309 0.68120 0.77506 13.8% 23.0 110s
20841 4958 0.71588 31 300 0.68120 0.77506 13.8% 23.0 115s
20845 4961 0.69278 54 293 0.68120 0.77506 13.8% 23.0 120s
20850 4964 0.73450 40 289 0.68120 0.77506 13.8% 23.0 126s
20856 4968 0.69685 74 293 0.68120 0.77506 13.8% 23.0 131s
20860 4971 0.71078 43 268 0.68120 0.77506 13.8% 23.0 136s
20862 4972 0.70102 33 293 0.68120 0.77506 13.8% 23.0 140s
20867 4975 0.72535 42 286 0.68120 0.77506 13.8% 23.0 146s
20870 4977 0.68273 63 303 0.68120 0.77506 13.8% 23.0 150s
20873 4979 0.75205 37 301 0.68120 0.77506 13.8% 23.0 155s
20877 4982 0.75292 30 303 0.68120 0.77506 13.8% 23.0 162s
20880 4984 0.68606 40 325 0.68120 0.77506 13.8% 23.0 165s
20883 4986 0.73219 46 310 0.68120 0.77506 13.8% 23.0 170s
20887 4989 0.77471 29 310 0.68120 0.77506 13.8% 23.0 177s
20889 4990 0.77096 26 322 0.68120 0.77506 13.8% 23.0 180s
20893 4993 0.72992 36 307 0.68120 0.77506 13.8% 23.0 186s
20895 4994 0.68370 71 308 0.68120 0.77506 13.8% 23.0 190s
20898 4996 0.71867 43 309 0.68120 0.77506 13.8% 23.0 195s
20903 4999 0.71578 42 317 0.68120 0.77506 13.8% 23.0 202s
20905 5001 0.68404 41 316 0.68120 0.77506 13.8% 23.0 205s
H20906 4748 0.6821443 0.77506 13.6% 23.0 208s
20909 4750 0.75311 33 309 0.68214 0.77506 13.6% 23.0 211s
20911 4752 0.68974 45 313 0.68214 0.77506 13.6% 23.0 215s
20913 4753 0.70058 37 316 0.68214 0.77506 13.6% 23.0 220s
20916 4758 0.77506 25 280 0.68214 0.77506 13.6% 24.9 229s
20918 4760 0.77068 26 295 0.68214 0.77506 13.6% 24.9 237s
20938 4768 infeasible 29 0.68214 0.76991 12.9% 25.2 240s
H20977 4536 0.6821443 0.76956 12.8% 25.5 244s
20993 4542 0.75647 35 254 0.68214 0.76956 12.8% 25.6 245s
21127 4538 0.76144 35 263 0.68214 0.76925 12.8% 26.7 250s
21425 4657 cutoff 158 0.68214 0.76858 12.7% 27.8 255s
21652 4707 infeasible 42 0.68214 0.76858 12.7% 28.7 260s
21802 4698 cutoff 43 0.68214 0.76643 12.4% 30.1 265s
22035 4728 0.74583 39 267 0.68214 0.76530 12.2% 31.4 270s
22248 4801 0.75751 33 257 0.68214 0.76494 12.1% 32.2 275s
22461 4841 0.74095 53 238 0.68214 0.76494 12.1% 33.5 280s
22694 4881 0.74203 38 274 0.68214 0.76308 11.9% 34.8 285s
22891 4882 0.75526 43 255 0.68214 0.76230 11.8% 36.2 290s
23172 4948 0.73326 43 230 0.68214 0.76149 11.6% 38.0 295s
23479 4990 0.68599 94 151 0.68214 0.76109 11.6% 39.8 301s
23704 5045 0.75474 38 241 0.68214 0.76092 11.5% 40.6 306s
23820 5091 0.71159 37 248 0.68214 0.76067 11.5% 41.1 310s
H23987 4839 0.6850072 0.76055 11.0% 41.6 310s
24129 4912 cutoff 39 0.68501 0.76048 11.0% 42.1 315s
24365 4936 0.70423 41 260 0.68501 0.76001 10.9% 43.6 321s
24711 5019 0.71178 35 274 0.68501 0.75983 10.9% 45.0 327s
24816 5029 0.75300 42 258 0.68501 0.75962 10.9% 45.8 331s
24900 5035 0.69671 49 251 0.68501 0.75956 10.9% 46.3 335s
25314 5128 0.71212 40 248 0.68501 0.75921 10.8% 47.8 341s
25436 5115 cutoff 40 0.68501 0.75897 10.8% 48.8 345s
25766 5186 0.75482 44 257 0.68501 0.75867 10.8% 50.3 353s
25892 5228 0.73925 59 207 0.68501 0.75866 10.8% 51.1 357s
26069 5261 0.69668 51 247 0.68501 0.75848 10.7% 52.0 366s
26101 5266 0.69519 52 235 0.68501 0.75848 10.7% 52.0 370s
26576 5388 infeasible 36 0.68501 0.75809 10.7% 53.7 379s
26778 5423 0.70905 48 231 0.68501 0.75786 10.6% 54.8 383s
27030 5437 cutoff 37 0.68501 0.75761 10.6% 55.9 388s
27273 5486 0.74429 40 274 0.68501 0.75753 10.6% 56.9 393s
27468 5486 0.70384 55 236 0.68501 0.75736 10.6% 58.1 398s
27549 5500 0.70626 44 242 0.68501 0.75732 10.6% 58.6 403s
27799 5513 0.69551 46 252 0.68501 0.75731 10.6% 59.9 410s
28187 5550 0.68556 55 249 0.68501 0.75711 10.5% 60.9 415s
28419 5538 0.70216 42 259 0.68501 0.75689 10.5% 62.1 421s
28711 5587 0.74763 42 234 0.68501 0.75678 10.5% 63.3 427s
28983 5632 0.72111 47 200 0.68501 0.75657 10.4% 64.4 434s
29377 5717 cutoff 62 0.68501 0.75632 10.4% 65.4 441s
29643 5767 0.69729 50 244 0.68501 0.75613 10.4% 66.7 447s
30034 5850 0.73035 47 243 0.68501 0.75595 10.4% 67.7 455s
30417 5953 0.74760 41 267 0.68501 0.75587 10.3% 68.8 463s
30674 6010 0.69481 56 264 0.68501 0.75585 10.3% 69.3 471s
30989 6037 0.73094 41 293 0.68501 0.75564 10.3% 70.7 479s
31303 6083 0.70655 54 248 0.68501 0.75542 10.3% 72.2 487s
31626 6110 cutoff 54 0.68501 0.75527 10.3% 73.7 495s
31981 6171 cutoff 53 0.68501 0.75514 10.2% 74.9 507s
H32000 5821 0.6878894 0.75514 9.78% 74.9 507s
32074 5807 0.69328 49 261 0.68789 0.75510 9.77% 75.2 515s
32446 5842 0.72436 38 211 0.68789 0.75499 9.76% 76.5 524s
32825 5900 0.72131 49 259 0.68789 0.75474 9.72% 77.7 532s
33144 5918 0.69916 52 254 0.68789 0.75466 9.71% 79.1 540s
33520 6094 0.72243 45 237 0.68789 0.75449 9.68% 80.4 548s
33877 6269 0.71465 66 195 0.68789 0.75442 9.67% 81.3 557s
34218 6418 0.73564 48 247 0.68789 0.75413 9.63% 82.5 566s
34555 6553 0.69880 56 249 0.68789 0.75405 9.62% 83.7 574s
34901 6721 cutoff 54 0.68789 0.75389 9.60% 84.9 583s
35273 6888 cutoff 43 0.68789 0.75355 9.55% 86.0 592s
35711 7049 0.70526 49 194 0.68789 0.75344 9.53% 87.1 600s
Cutting planes:
Gomory: 212
Cover: 6
Implied bound: 54
Projected implied bound: 80
MIR: 224
StrongCG: 7
Flow cover: 775
Inf proof: 75
Zero half: 1
Explored 36036 nodes (3181699 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.687889 0.685007 0.682144 ... 0.529683
Time limit reached
Best objective 6.878894444381e-01, best bound 7.531383827659e-01, gap 9.4854%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb4squ6tz.pyomo.lp
Reading time = 0.00 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz6mbo6p7.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 875 rows and 623 columns
Presolve time: 0.00s
Presolved: 386 rows, 458 columns, 1906 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8953916e+01 5.081250e+02 0.000000e+00 0s
246 1.2193206e+01 0.000000e+00 0.000000e+00 0s
Solved in 246 iterations and 0.01 seconds
Optimal objective 1.219320616e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.35040097e-07, -1.07183879e-08, -4.82251364e-07]])
fopt: 1.7835059643307145
fun: -1.787625674238021
message: 'Optimization terminated successfully.'
nfev: 201
nit: 2
status: 0
success: True
x: array([ 26.1978372 , -1. , -87.99580146])
xopt: array([26., 0., 0.])
zopt: array([26., 26., 26.])
*******************************************
Period: 2
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.18311629, 0.36468395, 0.00693166]])
fopt: 2.003604175982091
fun: -2.027707730718307
message: 'Optimization terminated successfully.'
nfev: 191
nit: 3
status: 0
success: True
x: array([ 46.00028946, -86.99513057, -0.99952403])
xopt: array([46., 0., 0.])
zopt: array([46., 46., 46.])
*******************************************
Period: 3
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.06333917, 0.17091606, 0.06624441]])
fopt: 2.0511191691714528
fun: -2.0580373231254425
message: 'Optimization terminated successfully.'
nfev: 208
nit: 3
status: 0
success: True
x: array([ 66.8950155 , -174.97862007, -65.99568697])
xopt: array([66., 0., 0.])
zopt: array([66., 66., 66.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.36796788e-04, -2.02596492e-06, 0.00000000e+00]])
fopt: 1.6676402409886162
fun: -1.6770706664851653
message: 'Optimization terminated successfully.'
nfev: 274
nit: 2
status: 0
success: True
x: array([91.85037873, -0.3455203 , 1. ])
xopt: array([92., 0., 1.])
zopt: array([92., 92., 93.])
*******************************************
Period: 5
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.07288967e-05, 1.82142753e-12, 1.25694943e-10]])
fopt: 1.390039262569573
fun: -1.3972233098734483
message: 'Optimization terminated successfully.'
nfev: 248
nit: 2
status: 0
success: True
x: array([106.13926259, 1.00000271, 1.00004642])
xopt: array([106., 1., 1.])
zopt: array([106., 107., 108.])
*******************************************
Period: 6
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.61787972e-07, -3.58547522e-10, 1.22493234e-09]])
fopt: 1.1380043767424792
fun: -1.1438922530141529
message: 'Optimization terminated successfully.'
nfev: 198
nit: 2
status: 0
success: True
x: array([133.08391647, 1.18047618, 0.37565283])
xopt: array([133., 1., 0.])
zopt: array([133., 134., 134.])
*******************************************
Period: 7
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.24040403e-08, 0.00000000e+00, -5.14394456e-07]])
fopt: 1.0530201186372965
fun: -1.0682874412859418
message: 'Optimization terminated successfully.'
nfev: 277
nit: 3
status: 0
success: True
x: array([155.99993342, 2. , -27.76816223])
xopt: array([156., 2., 0.])
zopt: array([156., 158., 158.])
*******************************************
Period: 8
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1484
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1474
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.7045154351109666
fun: -0.70585387629004
message: 'Optimization terminated successfully.'
nfev: 185
nit: 3
status: 0
success: True
x: array([169.9926202 , 2.05321376, -0.85297741])
xopt: array([169., 3., 0.])
zopt: array([169., 172., 172.])
*******************************************
Period: 11
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.05399109, 0.05065963, 2.76543867]])
fopt: 0.8337398785026654
fun: -0.832226459703953
message: 'Optimization terminated successfully.'
nfev: 325
nit: 4
status: 0
success: True
x: array([169.99886216, 2.20403944, 18.07750747])
xopt: array([169., 3., 18.])
zopt: array([169., 172., 190.])
*******************************************
Period: 12
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[81.8874552 , 27.43117639, 55.40220826]])
fopt: 0.9092401115488618
fun: -0.9067476674900432
message: 'Optimization terminated successfully.'
nfev: 489
nit: 6
status: 0
success: True
x: array([127.79971548, 44.04735588, 80.6347887 ])
xopt: array([127., 45., 80.])
zopt: array([127., 172., 252.])
*******************************************
Period: 13
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[118.46234578, 40.08459375, 79.45547563]])
fopt: 0.8761866554411186
fun: -0.8762456062027205
message: 'Optimization terminated successfully.'
nfev: 231
nit: 3
status: 0
success: True
x: array([128.99611686, 43.02841851, 84.4647114 ])
xopt: array([128., 44., 84.])
zopt: array([128., 172., 256.])
*******************************************
Period: 14
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[121.92921766, 41.11949084, 61.58262601]])
fopt: 0.7926115693154134
fun: -0.7826603514884148
message: 'Optimization terminated successfully.'
nfev: 266
nit: 3
status: 0
success: True
x: array([127.98620546, 44.00100588, 65.6021548 ])
xopt: array([127., 45., 66.])
zopt: array([127., 172., 238.])
*******************************************
Period: 15
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[121.39762436, 40.62484534, 61.02667807]])
fopt: 0.7336892636780483
fun: -0.7261877283102742
message: 'Optimization terminated successfully.'
nfev: 367
nit: 4
status: 0
success: True
x: array([127.97511217, 44.00000095, 65.0265872 ])
xopt: array([127., 45., 66.])
zopt: array([127., 172., 238.])
*******************************************
Period: 16
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[120.97019842, 40.51839729, 61.04443679]])
fopt: 0.6762826379890345
fun: -0.6668775460263267
message: 'Optimization terminated successfully.'
nfev: 262
nit: 3
status: 0
success: True
x: array([128.99586364, 43.51968914, 65.05955442])
xopt: array([128., 44., 66.])
zopt: array([128., 172., 238.])
*******************************************
Period: 17
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.19847846e+02, 4.02972769e+01, 4.00932695e+01],
[ 9.32623266e-06, -6.31820040e-03, 2.57399912e-05]])
fopt: 0.6419983659569575
fun: -0.6401183214462821
message: 'Optimization terminated successfully.'
nfev: 272
nit: 4
status: 0
success: True
x: array([126.83283432, 45.29700875, 35.03387904])
xopt: array([126., 46., 35.])
zopt: array([126., 172., 207.])
*******************************************
Period: 18
direc: array([[ 0.00000000e+00, 9.65558150e-01, -7.67710664e-02],
[ 1.18675111e+02, 4.00487201e+01, 3.99091584e+01],
[-1.45293126e-09, -4.90318631e-10, -9.63793855e-02]])
fopt: 0.605645097707242
fun: -0.6052403713902016
message: 'Optimization terminated successfully.'
nfev: 749
nit: 7
status: 0
success: True
x: array([125.62235588, 46.00068128, 36.02313919])
xopt: array([125., 47., 36.])
zopt: array([125., 172., 208.])
*******************************************
Period: 19
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[121.25619879, 41.20856433, 40.77715054]])
fopt: 0.5619295071016895
fun: -0.5616841578157863
message: 'Optimization terminated successfully.'
nfev: 273
nit: 3
status: 0
success: True
x: array([128.20346085, 44.00203092, 35.04805438])
xopt: array([128., 44., 35.])
zopt: array([128., 172., 207.])
*******************************************
Period: 20
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.19214089e+02, 4.01473757e+01, 4.00904111e+01],
[ 0.00000000e+00, 1.01454746e+00, -5.86197521e-04]])
fopt: 0.5289670976671117
fun: -0.5285531799057931
message: 'Optimization terminated successfully.'
nfev: 413
nit: 5
status: 0
success: True
x: array([126.16056816, 46.00000097, 35.00000029])
xopt: array([126., 46., 35.])
zopt: array([126., 172., 207.])
*******************************************
Period: 21
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.13874490e+02, 3.82960081e+01, 3.82947617e+01],
[-7.20426385e-09, 9.99999998e-01, -6.41903804e-04]])
fopt: 0.49601371306152414
fun: -0.49592795209618024
message: 'Optimization terminated successfully.'
nfev: 521
nit: 7
status: 0
success: True
x: array([123.79388967, 48.02902958, 36.00021262])
xopt: array([123., 49., 36.])
zopt: array([123., 172., 208.])
*******************************************
Period: 22
direc: array([[3.83346696e-01, 3.63745287e-03, 7.27490584e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.11820702e+01, 8.78715609e+01, 1.75279739e+02]])
fopt: 0.7687523770404276
fun: -0.7680029890333627
message: 'Optimization terminated successfully.'
nfev: 366
nit: 5
status: 0
success: True
x: array([ 83.99999108, 80. , 179.00297883])
xopt: array([ 83., 80., 180.])
zopt: array([ 83., 163., 343.])
*******************************************
Period: 23
direc: array([[4.93031638e-01, 4.68109136e-03, 9.36218284e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.96587969e+01, 4.00599437e+01, 8.36639354e+01]])
fopt: 0.7623467705698524
fun: -0.7630523006433511
message: 'Optimization terminated successfully.'
nfev: 431
nit: 6
status: 0
success: True
x: array([ 84.99991492, 84.00000002, 186.40450334])
xopt: array([ 84., 84., 186.])
zopt: array([ 84., 168., 354.])
*******************************************
Period: 24
direc: array([[ 17.94939189, 42.11059389, 84.98668914],
[-42.03339417, 11.06021752, 23.0041691 ],
[ 0. , 10.11626727, 0. ]])
fopt: 0.7811587902053941
fun: -0.7779092886531938
message: 'Optimization terminated successfully.'
nfev: 950
nit: 11
status: 0
success: True
x: array([ 82.11752217, 114. , 195.48685269])
xopt: array([ 83., 115., 196.])
zopt: array([ 83., 198., 394.])
*******************************************
Period: 25
direc: array([[2.62972169e-01, 2.48708707e-03, 4.97417420e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.92355997e+00, 1.11450240e+01, 2.96991227e+01]])
fopt: 0.47408075297403107
fun: -0.47503976117936364
message: 'Optimization terminated successfully.'
nfev: 374
nit: 4
status: 0
success: True
x: array([109.99906162, 15.00031854, 35.3665976 ])
xopt: array([109., 16., 35.])
zopt: array([109., 125., 160.])
*******************************************
Period: 26
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[63.69782056, 0.61185832, 49.72328781]])
fopt: 0.6343260862300824
fun: -0.6347977046955121
message: 'Optimization terminated successfully.'
nfev: 395
nit: 5
status: 0
success: True
x: array([169.72448057, 2.00267258, 142.00578184])
xopt: array([169., 3., 143.])
zopt: array([169., 172., 315.])
*******************************************
Period: 27
direc: array([[5.17325194e-01, 3.07040601e-03, 6.14081209e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[4.50478063e+01, 2.67365781e-01, 2.00112480e+02]])
fopt: 0.6280352316717087
fun: -0.6277999021853556
message: 'Optimization terminated successfully.'
nfev: 467
nit: 5
status: 0
success: True
x: array([218.99938562, 2.02837412, 205.18256959])
xopt: array([218., 3., 205.])
zopt: array([218., 221., 426.])
*******************************************
Period: 28
direc: array([[1.55519213e-03, 9.17948941e-06, 1.83589791e-05],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.32022939e-02, 5.30625704e-04, 3.00327803e+01]])
fopt: 0.5204363865024372
fun: -0.5211794686936257
message: 'Optimization terminated successfully.'
nfev: 394
nit: 4
status: 0
success: True
x: array([170.34948212, 2.02128812, 35.04487081])
xopt: array([170., 2., 35.])
zopt: array([170., 172., 207.])
*******************************************
Period: 29
direc: array([[ 0. , 0. , 1. ],
[ 0. , 0. , 0. ],
[ 0. , 1. , -0.09256588]])
fopt: 0.5407191870060359
fun: -0.5417443000097028
message: 'Optimization terminated successfully.'
nfev: 440
nit: 6
status: 0
success: True
x: array([166.88650796, 5.1484898 , 37.04487996])
xopt: array([166., 6., 37.])
zopt: array([166., 172., 209.])
*******************************************
Period: 30
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.85130613e-06, 1.68899498e-08, 3.60932402e-08]])
fopt: 0.6784893344992563
fun: -0.680366833959844
message: 'Optimization terminated successfully.'
nfev: 474
nit: 5
status: 0
success: True
x: array([169.81673585, 3.01114843, 190.00035172])
xopt: array([169., 4., 191.])
zopt: array([169., 173., 364.])
*******************************************
Period: 31
direc: array([[ 4.17315150e-08, 2.47200112e-10, 5.27369217e-10],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.71610267e-12, -1.01520932e-14, -1.02041639e-07]])
fopt: 0.42927913088995684
fun: -0.427435961530067
message: 'Optimization terminated successfully.'
nfev: 447
nit: 4
status: 0
success: True
x: array([169.81676335, 2.00000017, 5.00269714])
xopt: array([169., 3., 6.])
zopt: array([169., 172., 178.])
*******************************************
Period: 32
direc: array([[1.20834689e-01, 7.15774363e-04, 1.43154874e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[7.74709664e+00, 4.58349977e-02, 1.91916793e+02]])
fopt: 0.6518745278650332
fun: -0.6538472808457437
message: 'Optimization terminated successfully.'
nfev: 522
nit: 6
status: 0
success: True
x: array([177.55974654, 2.04478938, 197.10133514])
xopt: array([177., 3., 198.])
zopt: array([177., 180., 378.])
*******************************************
Period: 33
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.3997570679584956
fun: -0.39915329062644384
message: 'Optimization terminated successfully.'
nfev: 210
nit: 2
status: 0
success: True
x: array([252.73420867, 2.61803335, 1. ])
xopt: array([252., 3., 1.])
zopt: array([252., 255., 256.])
*******************************************
Period: 34
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.74850981e-09, -2.65419727e-14, 0.00000000e+00]])
fopt: 0.4067255888161832
fun: -0.40855055637513366
message: 'Optimization terminated successfully.'
nfev: 348
nit: 4
status: 0
success: True
x: array([254.00017928, 3.01736362, 3. ])
xopt: array([254., 3., 3.])
zopt: array([254., 257., 260.])
*******************************************
Period: 35
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-48.70271958, 0. , 196.74413445]])
fopt: 0.622769486102515
fun: -0.6223415453905118
message: 'Optimization terminated successfully.'
nfev: 662
nit: 7
status: 0
success: True
x: array([218.99999992, 2.00310559, 205.62303165])
xopt: array([218., 3., 205.])
zopt: array([218., 221., 426.])
*******************************************
Period: 36
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.58400337, 0. , 1.01 ]])
fopt: 0.3761380760747914
fun: -0.37657980342215197
message: 'Optimization terminated successfully.'
nfev: 421
nit: 4
status: 0
success: True
x: array([299.89309057, 1.00000002, 3.391966 ])
xopt: array([299., 1., 4.])
zopt: array([299., 300., 304.])
*******************************************
Period: 37
direc: array([[ 0.00000000e+00, 1.01000000e+00, 9.99900000e-01],
[-7.95326654e+00, 6.12128815e-03, 5.97687215e+00],
[ 0.00000000e+00, 9.62084937e+00, 1.89549784e+01]])
fopt: 0.6268632738621782
fun: -0.6258391371985248
message: 'Optimization terminated successfully.'
nfev: 836
nit: 10
status: 0
success: True
x: array([153.99992894, 18.00001009, 143.41885377])
xopt: array([153., 19., 143.])
zopt: array([153., 172., 315.])
*******************************************
Period: 38
direc: array([[ 0. , 0. , 1. ],
[-0.07305176, 1.04647055, 0.07277161],
[-0.51039199, 6.99995275, 0.02537311]])
fopt: 0.6054511921336269
fun: -0.6058557924875225
message: 'Optimization terminated successfully.'
nfev: 715
nit: 8
status: 0
success: True
x: array([160.27885098, 12.07353808, 143.00000047])
xopt: array([160., 12., 143.])
zopt: array([160., 172., 315.])
*******************************************
Period: 39
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-1.14355668, -0.023135 , 1. ]])
fopt: 0.5904225839665991
fun: -0.5907802831396483
message: 'Optimization terminated successfully.'
nfev: 636
nit: 9
status: 0
success: True
x: array([162.69410152, -0.47274737, 176.01929843])
xopt: array([163., 0., 177.])
zopt: array([163., 163., 340.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 0. , 1. ],
[-198.96632077, 70.07326873, 122.62822028]])
fopt: 0.6450383176785066
fun: -0.644805001885956
message: 'Optimization terminated successfully.'
nfev: 465
nit: 7
status: 0
success: True
x: array([ 86. , 78.07275798, 141.0087251 ])
xopt: array([ 85., 79., 142.])
zopt: array([ 85., 164., 306.])
*******************************************
Period: 41
direc: array([[-0. , -0. , 0. ],
[-0.08617572, -1.4422341 , 1. ],
[-0.94222933, 0. , 0. ]])
fopt: 0.32398300991641066
fun: -0.32509118915949603
message: 'Optimization terminated successfully.'
nfev: 435
nit: 5
status: 0
success: True
x: array([252.7683874, -1.5025022, 5. ])
xopt: array([252., 0., 5.])
zopt: array([252., 252., 257.])
*******************************************
Period: 42
direc: array([[-0.19101802, 0. , 1. ],
[-6.28974818, 0. , 8.00166712],
[ 3.78063677, 23.09139564, 16.07976403]])
fopt: 0.6293558395064512
fun: -0.6289010780020817
message: 'Optimization terminated successfully.'
nfev: 779
nit: 10
status: 0
success: True
x: array([135.32972616, 39.0392652 , 192.00000402])
xopt: array([135., 40., 193.])
zopt: array([135., 175., 368.])
*******************************************
Period: 43
direc: array([[1.66601222, 0.01003748, 0.02007496],
[0. , 1. , 0. ],
[4.89903845, 2.81214169, 7.37561786]])
fopt: 0.4521990739448055
fun: -0.4526549943836053
message: 'Optimization terminated successfully.'
nfev: 404
nit: 5
status: 0
success: True
x: array([242.97395931, 42.0431896 , 122.00387046])
xopt: array([242., 42., 123.])
zopt: array([242., 284., 407.])
*******************************************
Period: 44
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.31633677457048714
fun: -0.31665367362898406
message: 'Optimization terminated successfully.'
nfev: 336
nit: 3
status: 0
success: True
x: array([303.02927813, 0.38196603, 1.00000004])
xopt: array([303., 0., 2.])
zopt: array([303., 303., 305.])
*******************************************
Period: 45
direc: array([[-0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , -0.00851932, 2. ]])
fopt: 0.3210495127666271
fun: -0.32295173823722256
message: 'Optimization terminated successfully.'
nfev: 774
nit: 12
status: 0
success: True
x: array([302.61660083, -0.69485693, 16. ])
xopt: array([302., 0., 16.])
zopt: array([302., 302., 318.])
*******************************************
Period: 46
direc: array([[ 3.94410213e+00, 2.12686818e+01, 3.79395711e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.72895812e-09, -1.05663536e-11, -2.11150581e-11]])
fopt: 0.5308965657722221
fun: -0.5314193885873865
message: 'Optimization terminated successfully.'
nfev: 465
nit: 5
status: 0
success: True
x: array([179.81647773, 87.29626382, 155.15290073])
xopt: array([179., 87., 156.])
zopt: array([179., 266., 422.])
*******************************************
Period: 47
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-111.45533934, -0.2888801 , 205.20863551]])
fopt: 0.5829528781018314
fun: -0.585470534036837
message: 'Optimization terminated successfully.'
nfev: 533
nit: 7
status: 0
success: True
x: array([189.08614574, -2.03237819, 205. ])
xopt: array([189., 0., 205.])
zopt: array([189., 189., 394.])
*******************************************
Period: 48
direc: array([[ 0. , 0. , 1. ],
[-0. , -0. , 0. ],
[ 0. , -1.20281236, 0.9311163 ]])
fopt: 0.3304684470450219
fun: -0.33235519409682224
message: 'Optimization terminated successfully.'
nfev: 479
nit: 6
status: 0
success: True
x: array([302.63364683, -3.11393562, 7.19638488])
xopt: array([302., 0., 8.])
zopt: array([302., 302., 310.])
*******************************************
Period: 49
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.15958823e+02, -1.27792855e-01, 1.92235521e+02]])
fopt: 0.5707321419011725
fun: -0.5715740868836674
message: 'Optimization terminated successfully.'
nfev: 453
nit: 6
status: 0
success: True
x: array([183.89268296, -0.43216943, 201.01291412])
xopt: array([183., 0., 201.])
zopt: array([183., 183., 384.])
*******************************************
Period: 50
direc: array([[2.08398912e+00, 1.28783488e-02, 2.88474497e-02],
[3.85294436e+00, 1.85415290e+00, 3.77539687e+00],
[5.81453127e+01, 6.20276449e+01, 1.15611214e+02]])
fopt: 0.46518948931557574
fun: -0.4634149957203897
message: 'Optimization terminated successfully.'
nfev: 425
nit: 5
status: 0
success: True
x: array([222.78379063, 68.00938886, 126.55725883])
xopt: array([222., 68., 127.])
zopt: array([222., 290., 417.])
*******************************************
Period: 51
direc: array([[ 0. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0. , 20.36832139, 41.03620367]])
fopt: 0.5531566409229622
fun: -0.5521643397085068
message: 'Optimization terminated successfully.'
nfev: 369
nit: 5
status: 0
success: True
x: array([162.89069555, 83. , 181.03545914])
xopt: array([162., 83., 182.])
zopt: array([162., 245., 427.])
*******************************************
Period: 52
direc: array([[0., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5654500941786539
fun: -0.5666478600104738
message: 'Optimization terminated successfully.'
nfev: 497
nit: 6
status: 0
success: True
x: array([170.11434634, 2.14589803, 190.00015615])
xopt: array([170., 3., 191.])
zopt: array([170., 173., 364.])
*******************************************
Period: 53
direc: array([[ 1.23531706e-04, 6.48848099e-06, -1.32994365e-04],
[ 1.23531706e-04, -8.40513259e-02, 9.99867006e-01],
[ 1.08910998e-04, -3.94283279e-01, 8.53984721e-01]])
fopt: 0.34265324025409205
fun: -0.3449152782162876
message: 'Optimization terminated successfully.'
nfev: 715
nit: 10
status: 0
success: True
x: array([250.94772174, -3.67624101, 15.01005377])
xopt: array([250., 0., 15.])
zopt: array([250., 250., 265.])
*******************************************
Period: 54
direc: array([[-6.57703686e+01, 2.20670784e+01, 5.42650745e+01],
[-6.40255936e+01, -3.07680273e-03, 4.92407572e+01],
[ 3.78283006e+01, 5.72551172e-06, 6.33424605e+01]])
fopt: 0.5749807289466085
fun: -0.5737472587213154
message: 'Optimization terminated successfully.'
nfev: 1167
nit: 14
status: 0
success: True
x: array([132.59233839, 48.02075201, 197.00089364])
xopt: array([132., 48., 198.])
zopt: array([132., 180., 378.])
*******************************************
Period: 55
direc: array([[-6.74430255e-06, -4.31698627e-04, -1.64579724e-04],
[ 3.93986929e-02, 3.69500321e-06, -3.85609513e-02],
[ 0.00000000e+00, 0.00000000e+00, 9.86968262e-01]])
fopt: 0.37476026103754306
fun: -0.3742536180961192
message: 'Optimization terminated successfully.'
nfev: 1871
nit: 23
status: 0
success: True
x: array([219.18989872, 3.51870068, 49.00234492])
xopt: array([219., 3., 50.])
zopt: array([219., 222., 272.])
*******************************************
Period: 56
direc: array([[-1.18673000e+02, -8.15743902e-01, 9.44608394e+01],
[ 9.27791957e-08, 5.34733450e-08, -1.05112426e-07],
[ 0.00000000e+00, -4.25924937e-16, 8.44639774e-01]])
fopt: 0.4675924440463618
fun: -0.4625764685034202
message: 'Optimization terminated successfully.'
nfev: 1340
nit: 15
status: 0
success: True
x: array([158.90631892, -3.53040406, 130.00392094])
xopt: array([159., 0., 131.])
zopt: array([159., 159., 290.])
*******************************************
Period: 57
direc: array([[ 2.51930526e-11, 6.31781649e-13, -2.08326275e-11],
[ 0.00000000e+00, -2.76833580e-05, 9.90000000e-01],
[ 2.51816346e-11, -1.05458062e+00, 9.89992805e-01]])
fopt: 0.3320597347869881
fun: -0.3357439509329166
message: 'Optimization terminated successfully.'
nfev: 1025
nit: 12
status: 0
success: True
x: array([296.73905745, -8.24424183, 18.00412475])
xopt: array([296., 0., 19.])
zopt: array([296., 296., 315.])
*******************************************
Period: 58
direc: array([[127.8506568 , 0.75375357, 1.53396848],
[ 0. , 1. , 0. ],
[ -0. , -0. , 0. ]])
fopt: 0.3273259875526036
fun: -0.3283398148416548
message: 'Optimization terminated successfully.'
nfev: 600
nit: 7
status: 0
success: True
x: array([298.21894173, 7.01572589, 9.00376489])
xopt: array([298., 7., 10.])
zopt: array([298., 305., 315.])
*******************************************
Period: 59
direc: array([[ 1.27292231e+02, 6.06226464e-03, 1.56581266e+00],
[-4.62655331e-11, 2.75274496e-05, 2.75274491e-05],
[ 0.00000000e+00, 1.00000000e+00, -5.68434189e-14]])
fopt: 0.3202840741372413
fun: -0.32078658781611735
message: 'Optimization terminated successfully.'
nfev: 766
nit: 8
status: 0
success: True
x: array([297.18930143, 8.00048789, 9.00157737])
xopt: array([297., 8., 10.])
zopt: array([297., 305., 315.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp51tev30a.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp51rjo9iv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [3e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23131
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.78351 1.23131
Optimal solution found (tolerance 1.00e-02)
Best objective 1.783505964331e+00, best bound 1.783505964331e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9p08rchp.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpubybgboi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.245476
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 34 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.003604e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.0036042 2.00360 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.0036 0.245476
Optimal solution found (tolerance 1.00e-02)
Best objective 2.003604175982e+00, best bound 2.003604175982e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpsgeg7_1z.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcaeiij0s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0014
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 2.051119e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.0511192 2.05112 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.05112 1.0014
Optimal solution found (tolerance 1.00e-02)
Best objective 2.051119169171e+00, best bound 2.051119169171e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa7z95a82.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfheg4xld.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [9e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.43973
Presolve removed 127 rows and 90 columns
Presolve time: 0.00s
Presolved: 64 rows, 52 columns, 213 nonzeros
Variable types: 24 continuous, 28 integer (23 binary)
Root relaxation: objective 2.227227e+00, 41 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.22723 0 9 1.43973 2.22723 54.7% - 0s
H 0 0 1.5209035 2.22723 46.4% - 0s
H 0 0 1.6680690 2.22723 33.5% - 0s
0 0 cutoff 0 1.66807 1.66807 0.00% - 0s
Cutting planes:
Gomory: 4
MIR: 5
Flow cover: 3
Explored 1 nodes (48 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.66807 1.5209 1.43973
Optimal solution found (tolerance 1.00e-02)
Best objective 1.668068968384e+00, best bound 1.668068968384e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn7m2gaym.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpakti4h9k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [7e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.20185
Presolve removed 133 rows and 92 columns
Presolve time: 0.00s
Presolved: 104 rows, 83 columns, 350 nonzeros
Variable types: 40 continuous, 43 integer (38 binary)
Root relaxation: objective 2.042513e+00, 64 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04251 0 4 1.20185 2.04251 69.9% - 0s
H 0 0 1.4796285 2.04251 38.0% - 0s
0 0 1.51712 0 1 1.47963 1.51712 2.53% - 0s
0 0 1.51712 0 1 1.47963 1.51712 2.53% - 0s
0 0 1.51712 0 1 1.47963 1.51712 2.53% - 0s
0 0 infeasible 0 1.47963 1.47963 0.00% - 0s
Explored 1 nodes (105 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.47963 1.20185
Optimal solution found (tolerance 1.00e-02)
Best objective 1.479628536720e+00, best bound 1.479628536720e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgffuf72q.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmprn3k96rx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.19593
Presolve removed 150 rows and 102 columns
Presolve time: 0.00s
Presolved: 133 rows, 106 columns, 454 nonzeros
Variable types: 52 continuous, 54 integer (49 binary)
Root relaxation: objective 1.845931e+00, 82 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84593 0 5 1.19593 1.84593 54.4% - 0s
H 0 0 1.3511188 1.84593 36.6% - 0s
0 0 1.38889 0 2 1.35112 1.38889 2.80% - 0s
0 0 1.38237 0 1 1.35112 1.38237 2.31% - 0s
0 0 1.38237 0 1 1.35112 1.38237 2.31% - 0s
0 0 1.38237 0 1 1.35112 1.38237 2.31% - 0s
0 0 infeasible 0 1.35112 1.35112 0.00% - 0s
Explored 1 nodes (133 simplex iterations) in 0.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.35112 1.19593
Optimal solution found (tolerance 1.00e-02)
Best objective 1.351118836068e+00, best bound 1.351118836068e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcx0hev87.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcfgu51g3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05265
Presolve removed 165 rows and 111 columns
Presolve time: 0.01s
Presolved: 164 rows, 130 columns, 563 nonzeros
Variable types: 65 continuous, 65 integer (60 binary)
Root relaxation: objective 1.844564e+00, 97 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.84456 0 7 1.05265 1.84456 75.2% - 0s
H 0 0 1.0996065 1.84456 67.7% - 0s
0 0 1.55881 0 11 1.09961 1.55881 41.8% - 0s
0 0 1.39410 0 2 1.09961 1.39410 26.8% - 0s
H 0 0 1.3198574 1.39410 5.62% - 0s
0 0 1.39410 0 2 1.31986 1.39410 5.62% - 0s
0 0 1.39410 0 2 1.31986 1.39410 5.62% - 0s
0 0 1.39339 0 4 1.31986 1.39339 5.57% - 0s
0 0 1.39339 0 4 1.31986 1.39339 5.57% - 0s
0 0 1.38566 0 4 1.31986 1.38566 4.99% - 0s
0 0 1.37476 0 4 1.31986 1.37476 4.16% - 0s
0 0 1.37281 0 4 1.31986 1.37281 4.01% - 0s
0 0 1.35932 0 1 1.31986 1.35932 2.99% - 0s
0 0 1.35932 0 1 1.31986 1.35932 2.99% - 0s
0 1 1.35932 0 1 1.31986 1.35932 2.99% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Explored 2 nodes (231 simplex iterations) in 0.07 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.31986 1.09961 1.05265
Optimal solution found (tolerance 1.00e-02)
Best objective 1.319857438094e+00, best bound 1.319857438094e+00, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5dev7r3e.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoq2d2hc7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.10245
Presolve removed 181 rows and 121 columns
Presolve time: 0.01s
Presolved: 194 rows, 153 columns, 671 nonzeros
Variable types: 77 continuous, 76 integer (71 binary)
Root relaxation: objective 1.682128e+00, 119 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.68213 0 8 1.10245 1.68213 52.6% - 0s
H 0 0 1.1762849 1.68213 43.0% - 0s
0 0 1.30747 0 10 1.17628 1.30747 11.2% - 0s
0 0 1.25547 0 2 1.17628 1.25547 6.73% - 0s
0 0 1.25547 0 2 1.17628 1.25547 6.73% - 0s
0 0 1.25547 0 4 1.17628 1.25547 6.73% - 0s
0 0 1.25547 0 2 1.17628 1.25547 6.73% - 0s
0 0 1.24741 0 3 1.17628 1.24741 6.05% - 0s
0 0 1.24721 0 3 1.17628 1.24721 6.03% - 0s
0 0 1.23040 0 2 1.17628 1.23040 4.60% - 0s
0 0 1.23040 0 2 1.17628 1.23040 4.60% - 0s
0 2 1.23040 0 2 1.17628 1.23040 4.60% - 0s
Cutting planes:
Gomory: 3
Implied bound: 1
MIR: 2
Explored 3 nodes (270 simplex iterations) in 0.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.17628 1.10245
Optimal solution found (tolerance 1.00e-02)
Best objective 1.176284928955e+00, best bound 1.176284928955e+00, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbg7f511s.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp272blkk8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.0426
Presolve removed 196 rows and 130 columns
Presolve time: 0.01s
Presolved: 225 rows, 177 columns, 780 nonzeros
Variable types: 90 continuous, 87 integer (82 binary)
Root relaxation: objective 1.494092e+00, 152 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49409 0 9 1.04260 1.49409 43.3% - 0s
0 0 1.13392 0 5 1.04260 1.13392 8.76% - 0s
0 0 1.11405 0 3 1.04260 1.11405 6.85% - 0s
0 0 1.11338 0 3 1.04260 1.11338 6.79% - 0s
0 0 1.11338 0 3 1.04260 1.11338 6.79% - 0s
0 0 1.11338 0 4 1.04260 1.11338 6.79% - 0s
0 0 1.11298 0 2 1.04260 1.11298 6.75% - 0s
0 0 1.10454 0 3 1.04260 1.10454 5.94% - 0s
0 0 1.10435 0 3 1.04260 1.10435 5.92% - 0s
0 0 1.10411 0 3 1.04260 1.10411 5.90% - 0s
0 0 1.09090 0 1 1.04260 1.09090 4.63% - 0s
0 0 1.09090 0 1 1.04260 1.09090 4.63% - 0s
0 2 1.09090 0 1 1.04260 1.09090 4.63% - 0s
Cutting planes:
Gomory: 2
Implied bound: 1
MIR: 2
Explored 3 nodes (325 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.0426
Optimal solution found (tolerance 1.00e-02)
Best objective 1.042598263484e+00, best bound 1.042598263484e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgdnruslb.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp78uqh1yv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.928522
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.490528e+00, 178 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.49053 0 14 0.92852 1.49053 60.5% - 0s
0 0 1.16889 0 23 0.92852 1.16889 25.9% - 0s
0 0 1.15883 0 10 0.92852 1.15883 24.8% - 0s
0 0 1.15873 0 15 0.92852 1.15873 24.8% - 0s
0 0 1.15864 0 15 0.92852 1.15864 24.8% - 0s
0 0 1.15864 0 13 0.92852 1.15864 24.8% - 0s
0 2 1.15864 0 13 0.92852 1.15864 24.8% - 0s
H 4 6 0.9912883 1.10955 11.9% 5.0 0s
Cutting planes:
Gomory: 6
Implied bound: 4
MIR: 1
Flow cover: 16
Explored 71 nodes (598 simplex iterations) in 0.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.991288 0.928522
Optimal solution found (tolerance 1.00e-02)
Best objective 9.912883253990e-01, best bound 9.912883253990e-01, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfnwnzwux.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd_y1wycy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.842898
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.544190e+00, 210 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.54419 0 15 0.84290 1.54419 83.2% - 0s
0 0 1.24907 0 9 0.84290 1.24907 48.2% - 0s
H 0 0 0.9577472 1.24907 30.4% - 0s
0 0 1.24740 0 14 0.95775 1.24740 30.2% - 0s
0 0 1.23897 0 14 0.95775 1.23897 29.4% - 0s
0 0 1.23897 0 14 0.95775 1.23897 29.4% - 0s
0 2 1.23897 0 14 0.95775 1.23897 29.4% - 0s
* 61 20 12 1.0463527 1.12741 7.75% 7.0 0s
Cutting planes:
Gomory: 8
Cover: 1
MIR: 1
Flow cover: 11
Explored 104 nodes (948 simplex iterations) in 0.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.04635 0.957747 0.842898
Optimal solution found (tolerance 1.00e-02)
Best objective 1.046352719774e+00, best bound 1.046352719774e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbp0holdj.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_8njbvc5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.904827
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.552843e+00, 216 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55284 0 18 0.90483 1.55284 71.6% - 0s
0 0 1.27809 0 13 0.90483 1.27809 41.3% - 0s
0 0 1.27656 0 18 0.90483 1.27656 41.1% - 0s
0 0 1.26375 0 21 0.90483 1.26375 39.7% - 0s
0 0 1.26375 0 21 0.90483 1.26375 39.7% - 0s
0 0 1.26375 0 21 0.90483 1.26375 39.7% - 0s
0 0 1.26375 0 19 0.90483 1.26375 39.7% - 0s
0 2 1.26375 0 19 0.90483 1.26375 39.7% - 0s
* 161 50 14 0.9499381 1.15534 21.6% 7.2 0s
* 179 50 22 0.9523028 1.14088 19.8% 6.7 0s
* 285 31 13 1.0409092 1.12125 7.72% 6.2 0s
* 325 0 16 1.0491321 1.09864 4.72% 6.0 0s
Cutting planes:
Gomory: 9
Implied bound: 4
MIR: 4
Flow cover: 11
Inf proof: 4
Explored 347 nodes (2390 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.04913 1.04091 0.952303 ... 0.904827
Optimal solution found (tolerance 1.00e-02)
Best objective 1.049132056156e+00, best bound 1.049132056156e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3rhvkoss.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvi390_bq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.956516
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.466506e+00, 276 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.46651 0 22 0.95652 1.46651 53.3% - 0s
0 0 1.21104 0 14 0.95652 1.21104 26.6% - 0s
0 0 1.20864 0 21 0.95652 1.20864 26.4% - 0s
0 0 1.20182 0 21 0.95652 1.20182 25.6% - 0s
0 0 1.20182 0 21 0.95652 1.20182 25.6% - 0s
0 0 1.20182 0 19 0.95652 1.20182 25.6% - 0s
0 0 1.20182 0 19 0.95652 1.20182 25.6% - 0s
0 2 1.20182 0 19 0.95652 1.20182 25.6% - 0s
H 111 18 0.9775498 1.07895 10.4% 6.5 0s
* 180 0 20 0.9851401 1.01523 3.05% 6.0 0s
Cutting planes:
Gomory: 12
Implied bound: 1
MIR: 2
Flow cover: 13
Explored 191 nodes (1554 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.98514 0.97755 0.956516
Optimal solution found (tolerance 1.00e-02)
Best objective 9.851400626592e-01, best bound 9.851400626592e-01, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1xkblg11.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyql4uvac.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.842173
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.512223e+00, 253 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.51222 0 24 0.84217 1.51222 79.6% - 0s
0 0 1.25807 0 20 0.84217 1.25807 49.4% - 0s
0 0 1.25615 0 18 0.84217 1.25615 49.2% - 0s
0 0 1.25615 0 18 0.84217 1.25615 49.2% - 0s
0 0 1.25602 0 25 0.84217 1.25602 49.1% - 0s
0 0 1.25602 0 25 0.84217 1.25602 49.1% - 0s
0 0 1.25602 0 28 0.84217 1.25602 49.1% - 0s
0 0 1.25602 0 21 0.84217 1.25602 49.1% - 0s
0 2 1.25602 0 21 0.84217 1.25602 49.1% - 0s
* 191 57 27 0.8514828 1.12337 31.9% 8.3 0s
* 196 54 30 0.9419697 1.12337 19.3% 8.2 0s
* 378 55 26 0.9681942 1.09347 12.9% 7.4 0s
* 542 54 29 0.9827874 1.07282 9.16% 6.9 0s
* 666 21 20 0.9905415 1.05871 6.88% 6.7 0s
Cutting planes:
Gomory: 12
Cover: 2
Implied bound: 9
MIR: 1
Flow cover: 17
Inf proof: 12
Explored 770 nodes (5455 simplex iterations) in 0.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.990541 0.982787 0.968194 ... 0.842173
Optimal solution found (tolerance 1.00e-02)
Best objective 9.905414540914e-01, best bound 9.905414540914e-01, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpny6qism9.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpjmvh5d3v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.909025
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.433444e+00, 312 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.43344 0 26 0.90903 1.43344 57.7% - 0s
0 0 1.19353 0 28 0.90903 1.19353 31.3% - 0s
0 0 1.19123 0 32 0.90903 1.19123 31.0% - 0s
0 0 1.18560 0 32 0.90903 1.18560 30.4% - 0s
0 0 1.18560 0 32 0.90903 1.18560 30.4% - 0s
0 0 1.18560 0 25 0.90903 1.18560 30.4% - 0s
0 2 1.18560 0 25 0.90903 1.18560 30.4% - 0s
* 196 85 29 0.9140172 1.07476 17.6% 6.4 0s
* 398 103 27 0.9285704 1.03245 11.2% 6.2 0s
Cutting planes:
Gomory: 10
Cover: 5
Implied bound: 16
MIR: 2
Flow cover: 18
Inf proof: 14
Explored 1000 nodes (7094 simplex iterations) in 0.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.92857 0.914017 0.909025
Optimal solution found (tolerance 1.00e-02)
Best objective 9.285703884155e-01, best bound 9.285703884155e-01, gap 0.0000%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf93lyx2b.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvui19epw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.818675
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.454645e+00, 363 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.45464 0 28 0.81867 1.45464 77.7% - 0s
0 0 1.21083 0 29 0.81867 1.21083 47.9% - 0s
0 0 1.21083 0 29 0.81867 1.21083 47.9% - 0s
0 0 1.20870 0 34 0.81867 1.20870 47.6% - 0s
0 0 1.19970 0 35 0.81867 1.19970 46.5% - 0s
0 0 1.19900 0 35 0.81867 1.19900 46.5% - 0s
0 0 1.19900 0 35 0.81867 1.19900 46.5% - 0s
0 0 1.19900 0 27 0.81867 1.19900 46.5% - 0s
0 2 1.19900 0 27 0.81867 1.19900 46.5% - 0s
H 168 105 0.8186746 1.10509 35.0% 8.4 0s
* 914 314 39 0.8405097 1.05531 25.6% 7.7 0s
* 1764 527 38 0.8405784 1.03530 23.2% 7.2 0s
* 1833 503 42 0.8906646 1.03530 16.2% 7.2 0s
* 2002 499 39 0.9011700 1.03019 14.3% 7.0 0s
* 2749 399 30 0.9453301 1.01672 7.55% 7.3 0s
* 3275 158 30 0.9510285 0.98358 3.42% 7.9 1s
Cutting planes:
Gomory: 13
Cover: 26
Implied bound: 34
MIR: 7
Flow cover: 19
Inf proof: 53
Explored 3499 nodes (28301 simplex iterations) in 1.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 0.951029 0.94533 0.90117 ... 0.818675
Optimal solution found (tolerance 1.00e-02)
Best objective 9.510285193108e-01, best bound 9.599032619095e-01, gap 0.9332%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkaw0sdps.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmaz8fwda.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.864876
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.423556e+00, 352 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.42356 0 30 0.86488 1.42356 64.6% - 0s
0 0 1.18929 0 34 0.86488 1.18929 37.5% - 0s
0 0 1.18815 0 32 0.86488 1.18815 37.4% - 0s
0 0 1.18687 0 32 0.86488 1.18687 37.2% - 0s
0 0 1.18403 0 39 0.86488 1.18403 36.9% - 0s
0 0 1.18403 0 39 0.86488 1.18403 36.9% - 0s
0 0 1.18049 0 43 0.86488 1.18049 36.5% - 0s
0 0 1.17856 0 37 0.86488 1.17856 36.3% - 0s
0 0 1.17781 0 35 0.86488 1.17781 36.2% - 0s
0 0 1.17781 0 35 0.86488 1.17781 36.2% - 0s
0 0 1.17781 0 35 0.86488 1.17781 36.2% - 0s
0 0 1.17781 0 30 0.86488 1.17781 36.2% - 0s
0 0 1.17769 0 30 0.86488 1.17769 36.2% - 0s
0 0 1.17769 0 31 0.86488 1.17769 36.2% - 0s
0 0 1.17769 0 30 0.86488 1.17769 36.2% - 0s
0 0 1.17769 0 30 0.86488 1.17769 36.2% - 0s
0 2 1.17769 0 30 0.86488 1.17769 36.2% - 0s
* 2968 606 34 0.8746107 0.99719 14.0% 8.4 1s
* 2973 600 34 0.8789741 0.99719 13.4% 8.4 1s
H 3414 439 0.9131499 0.98663 8.05% 8.6 1s
* 3699 349 26 0.9145574 0.97213 6.30% 8.8 1s
H 3889 185 0.9243520 0.95347 3.15% 9.0 1s
Cutting planes:
Gomory: 10
Cover: 23
Implied bound: 30
MIR: 2
Flow cover: 34
Inf proof: 62
Explored 4057 nodes (37985 simplex iterations) in 2.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.924352 0.914557 0.91315 ... 0.864876
Optimal solution found (tolerance 1.00e-02)
Best objective 9.243519823413e-01, best bound 9.322614208966e-01, gap 0.8557%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8ks3a8iq.pyomo.lp
Reading time = 0.00 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc6qrfkp0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.870535
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.344076e+00, 371 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34408 0 31 0.87053 1.34408 54.4% - 0s
0 0 1.12160 0 33 0.87053 1.12160 28.8% - 0s
0 0 1.11977 0 38 0.87053 1.11977 28.6% - 0s
0 0 1.11968 0 38 0.87053 1.11968 28.6% - 0s
0 0 1.11503 0 38 0.87053 1.11503 28.1% - 0s
0 0 1.11503 0 39 0.87053 1.11503 28.1% - 0s
0 0 1.11503 0 32 0.87053 1.11503 28.1% - 0s
0 2 1.11503 0 32 0.87053 1.11503 28.1% - 0s
Cutting planes:
Gomory: 14
Cover: 21
Implied bound: 34
MIR: 2
Flow cover: 24
Inf proof: 52
Explored 3068 nodes (27099 simplex iterations) in 1.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.870535
Optimal solution found (tolerance 1.00e-02)
Best objective 8.705347339693e-01, best bound 8.718717971787e-01, gap 0.1536%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpswic6r_y.pyomo.lp
Reading time = 0.00 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp55w6qv47.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.816273
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.315614e+00, 402 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.31561 0 39 0.81627 1.31561 61.2% - 0s
0 0 1.09595 0 41 0.81627 1.09595 34.3% - 0s
0 0 1.09260 0 39 0.81627 1.09260 33.9% - 0s
0 0 1.09124 0 41 0.81627 1.09124 33.7% - 0s
0 0 1.08831 0 49 0.81627 1.08831 33.3% - 0s
0 0 1.08827 0 51 0.81627 1.08827 33.3% - 0s
0 0 1.08513 0 56 0.81627 1.08513 32.9% - 0s
0 0 1.08344 0 53 0.81627 1.08344 32.7% - 0s
0 0 1.08344 0 53 0.81627 1.08344 32.7% - 0s
0 0 1.08343 0 50 0.81627 1.08343 32.7% - 0s
0 0 1.08272 0 50 0.81627 1.08272 32.6% - 0s
0 0 1.08272 0 42 0.81627 1.08272 32.6% - 0s
0 2 1.08272 0 42 0.81627 1.08272 32.6% - 0s
* 1973 597 55 0.8269299 0.94790 14.6% 10.5 2s
H 2196 588 0.8318447 0.94790 14.0% 10.5 2s
H 3447 409 0.8418676 0.93101 10.6% 11.6 3s
Cutting planes:
Gomory: 30
Cover: 1
Implied bound: 6
Projected implied bound: 6
MIR: 10
Flow cover: 32
Inf proof: 35
Explored 5130 nodes (63358 simplex iterations) in 4.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.841868 0.831845 0.82693 0.816273
Optimal solution found (tolerance 1.00e-02)
Best objective 8.418676470173e-01, best bound 8.422666119819e-01, gap 0.0474%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpa_gb5kft.pyomo.lp
Reading time = 0.00 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbburupcp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.772948
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.296821e+00, 419 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29682 0 41 0.77295 1.29682 67.8% - 0s
0 0 1.08704 0 40 0.77295 1.08704 40.6% - 0s
0 0 1.07986 0 47 0.77295 1.07986 39.7% - 0s
0 0 1.07976 0 45 0.77295 1.07976 39.7% - 0s
0 0 1.07661 0 46 0.77295 1.07661 39.3% - 0s
0 0 1.07661 0 47 0.77295 1.07661 39.3% - 0s
0 0 1.07601 0 48 0.77295 1.07601 39.2% - 0s
0 0 1.07601 0 44 0.77295 1.07601 39.2% - 0s
0 2 1.07601 0 44 0.77295 1.07601 39.2% - 0s
* 1837 649 75 0.7816923 0.95936 22.7% 11.8 2s
* 2290 663 67 0.8165908 0.95936 17.5% 12.4 2s
H 3641 590 0.8257932 0.94255 14.1% 13.4 4s
4491 639 cutoff 25 0.82579 0.93246 12.9% 13.9 5s
H 7958 599 0.8257932 0.88459 7.12% 14.9 9s
8655 288 cutoff 29 0.82579 0.86210 4.40% 15.1 10s
Cutting planes:
Gomory: 41
Cover: 5
Implied bound: 22
Projected implied bound: 13
MIR: 14
Flow cover: 51
Inf proof: 56
Explored 9206 nodes (137997 simplex iterations) in 10.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.825793 0.825793 0.816591 ... 0.772948
Optimal solution found (tolerance 1.00e-02)
Best objective 8.257932439647e-01, best bound 8.303346390130e-01, gap 0.5499%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpup4bjmih.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpls9lz2iy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.75668
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.292671e+00, 461 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29267 0 46 0.75668 1.29267 70.8% - 0s
0 0 1.08895 0 52 0.75668 1.08895 43.9% - 0s
0 0 1.08742 0 57 0.75668 1.08742 43.7% - 0s
0 0 1.08710 0 58 0.75668 1.08710 43.7% - 0s
0 0 1.08486 0 60 0.75668 1.08486 43.4% - 0s
0 0 1.08474 0 61 0.75668 1.08474 43.4% - 0s
0 0 1.08474 0 54 0.75668 1.08474 43.4% - 0s
0 2 1.08474 0 54 0.75668 1.08474 43.4% - 0s
* 1163 492 82 0.8082596 0.99378 23.0% 12.0 1s
* 1164 469 82 0.8083428 0.99378 22.9% 12.0 1s
* 1223 465 77 0.8113796 0.99378 22.5% 12.0 2s
H 2776 745 0.8113796 0.99378 22.5% 14.9 3s
3864 843 0.88880 41 46 0.81138 0.97249 19.9% 16.1 5s
* 8365 725 77 0.8116204 0.86583 6.68% 15.5 9s
9063 551 0.81930 45 42 0.81162 0.85314 5.12% 15.4 10s
*10153 9 67 0.8168280 0.82111 0.52% 15.1 10s
Cutting planes:
Gomory: 61
Cover: 2
Implied bound: 11
Projected implied bound: 17
MIR: 13
Flow cover: 54
Inf proof: 80
Explored 10227 nodes (155171 simplex iterations) in 10.94 seconds
Thread count was 4 (of 4 available processors)
Solution count 7: 0.816828 0.81162 0.81138 ... 0.75668
Optimal solution found (tolerance 1.00e-02)
Best objective 8.168279633489e-01, best bound 8.177258713461e-01, gap 0.1099%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiqf18_gf.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1k1tso7n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [2e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.80007
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.250070e+00, 472 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25007 0 50 0.80007 1.25007 56.2% - 0s
0 0 1.06801 0 48 0.80007 1.06801 33.5% - 0s
0 0 1.06615 0 59 0.80007 1.06615 33.3% - 0s
0 0 1.06611 0 59 0.80007 1.06611 33.3% - 0s
0 0 1.06246 0 64 0.80007 1.06246 32.8% - 0s
0 0 1.06246 0 64 0.80007 1.06246 32.8% - 0s
0 0 1.06246 0 56 0.80007 1.06246 32.8% - 0s
0 2 1.06246 0 54 0.80007 1.06246 32.8% - 0s
4761 700 0.85409 40 38 0.80007 0.87176 8.96% 14.4 5s
Cutting planes:
Gomory: 57
Cover: 3
Implied bound: 18
Projected implied bound: 24
MIR: 8
Flow cover: 38
Inf proof: 86
Explored 9803 nodes (148963 simplex iterations) in 9.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.80007
Optimal solution found (tolerance 1.00e-02)
Best objective 8.000703247191e-01, best bound 8.010603113308e-01, gap 0.1237%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz8aruqic.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbqxte9nu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.791927
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.217705e+00, 527 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21770 0 58 0.79193 1.21770 53.8% - 0s
0 0 1.05724 0 55 0.79193 1.05724 33.5% - 0s
0 0 1.05724 0 55 0.79193 1.05724 33.5% - 0s
0 0 1.05589 0 65 0.79193 1.05589 33.3% - 0s
0 0 1.05489 0 65 0.79193 1.05489 33.2% - 0s
0 0 1.05085 0 72 0.79193 1.05085 32.7% - 0s
0 0 1.05083 0 73 0.79193 1.05083 32.7% - 0s
0 0 1.04855 0 79 0.79193 1.04855 32.4% - 0s
0 0 1.04844 0 79 0.79193 1.04844 32.4% - 0s
0 0 1.04844 0 79 0.79193 1.04844 32.4% - 0s
0 0 1.04844 0 65 0.79193 1.04844 32.4% - 0s
0 2 1.04844 0 65 0.79193 1.04844 32.4% - 0s
4478 756 0.81921 38 41 0.79193 0.89110 12.5% 17.9 5s
Cutting planes:
Gomory: 50
Implied bound: 20
Projected implied bound: 29
MIR: 10
Flow cover: 42
Inf proof: 70
Explored 8897 nodes (162193 simplex iterations) in 8.97 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.791927
Optimal solution found (tolerance 1.00e-02)
Best objective 7.919265422760e-01, best bound 7.919265422760e-01, gap 0.0000%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp57aytcts.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgdkhr0cx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.781159
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.194458e+00, 518 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19446 0 55 0.78116 1.19446 52.9% - 0s
0 0 1.06184 0 57 0.78116 1.06184 35.9% - 0s
0 0 1.05550 0 60 0.78116 1.05550 35.1% - 0s
0 0 1.05386 0 58 0.78116 1.05386 34.9% - 0s
0 0 1.05140 0 75 0.78116 1.05140 34.6% - 0s
0 0 1.05139 0 76 0.78116 1.05139 34.6% - 0s
0 0 1.04894 0 77 0.78116 1.04894 34.3% - 0s
0 0 1.04884 0 77 0.78116 1.04884 34.3% - 0s
0 0 1.04881 0 77 0.78116 1.04881 34.3% - 0s
0 0 1.04881 0 70 0.78116 1.04881 34.3% - 0s
0 2 1.04881 0 70 0.78116 1.04881 34.3% - 0s
3331 603 0.87511 31 50 0.78116 0.88495 13.3% 18.6 5s
Cutting planes:
Gomory: 53
Cover: 1
Implied bound: 20
Projected implied bound: 37
MIR: 6
Flow cover: 54
Inf proof: 58
Explored 7830 nodes (135258 simplex iterations) in 9.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.781159
Optimal solution found (tolerance 1.00e-02)
Best objective 7.811587902054e-01, best bound 7.881457697784e-01, gap 0.8944%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpc3n8ijex.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv761u_11.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.791995
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.195571e+00, 545 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19557 0 56 0.79200 1.19557 51.0% - 0s
0 0 1.07356 0 63 0.79200 1.07356 35.6% - 0s
0 0 1.07181 0 68 0.79200 1.07181 35.3% - 0s
0 0 1.07149 0 68 0.79200 1.07149 35.3% - 0s
0 0 1.06887 0 69 0.79200 1.06887 35.0% - 0s
0 0 1.06877 0 71 0.79200 1.06877 34.9% - 0s
0 0 1.06877 0 63 0.79200 1.06877 34.9% - 0s
0 2 1.06877 0 63 0.79200 1.06877 34.9% - 0s
3940 855 0.79802 53 28 0.79200 0.86430 9.13% 15.9 5s
H 4486 976 0.7919950 0.85820 8.36% 15.8 5s
8758 769 cutoff 45 0.79200 0.82337 3.96% 16.2 10s
Cutting planes:
Gomory: 55
Cover: 2
Implied bound: 19
Projected implied bound: 41
MIR: 16
Flow cover: 51
Inf proof: 82
Explored 10807 nodes (174234 simplex iterations) in 11.98 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.791995 0.791995
Optimal solution found (tolerance 1.00e-02)
Best objective 7.919950224866e-01, best bound 7.970255059782e-01, gap 0.6352%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdsarsele.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9xn5c4ar.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.794067
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.183664e+00, 615 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18366 0 57 0.79407 1.18366 49.1% - 0s
0 0 1.06433 0 65 0.79407 1.06433 34.0% - 0s
0 0 1.06120 0 78 0.79407 1.06120 33.6% - 0s
0 0 1.06110 0 72 0.79407 1.06110 33.6% - 0s
0 0 1.05786 0 77 0.79407 1.05786 33.2% - 0s
0 0 1.05781 0 77 0.79407 1.05781 33.2% - 0s
0 0 1.05781 0 78 0.79407 1.05781 33.2% - 0s
0 0 1.05781 0 67 0.79407 1.05781 33.2% - 0s
0 2 1.05781 0 66 0.79407 1.05781 33.2% - 0s
2966 659 0.83725 38 59 0.79407 0.92341 16.3% 21.5 5s
7195 947 infeasible 41 0.79407 0.83928 5.69% 19.5 10s
Cutting planes:
Learned: 1
Gomory: 87
Cover: 1
Implied bound: 25
Projected implied bound: 38
MIR: 11
Flow cover: 67
Inf proof: 99
Explored 12192 nodes (227395 simplex iterations) in 14.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.794067
Optimal solution found (tolerance 1.00e-02)
Best objective 7.940669616966e-01, best bound 8.010699853380e-01, gap 0.8819%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4545ukva.pyomo.lp
Reading time = 0.00 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4ql8vpwo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.800127
Presolve removed 438 rows and 285 columns
Presolve time: 0.01s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.185442e+00, 656 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18544 0 60 0.80013 1.18544 48.2% - 0s
0 0 1.07447 0 64 0.80013 1.07447 34.3% - 0s
0 0 1.06803 0 74 0.80013 1.06803 33.5% - 0s
0 0 1.06736 0 70 0.80013 1.06736 33.4% - 0s
0 0 1.06477 0 75 0.80013 1.06477 33.1% - 0s
0 0 1.06477 0 75 0.80013 1.06477 33.1% - 0s
0 0 1.06433 0 77 0.80013 1.06433 33.0% - 0s
0 0 1.06433 0 70 0.80013 1.06433 33.0% - 0s
0 2 1.06433 0 70 0.80013 1.06433 33.0% - 0s
3632 878 0.83747 28 64 0.80013 0.90407 13.0% 17.7 5s
7985 1551 cutoff 28 0.80013 0.87286 9.09% 17.7 10s
H 9706 1651 0.8001273 0.86584 8.21% 17.9 12s
11579 1691 cutoff 30 0.80013 0.85773 7.20% 18.2 15s
16217 1816 infeasible 41 0.80013 0.84443 5.54% 18.3 20s
21043 1651 0.80078 31 45 0.80013 0.83027 3.77% 18.4 25s
24513 814 infeasible 66 0.80013 0.81492 1.85% 18.5 30s
Cutting planes:
Gomory: 50
Cover: 7
Implied bound: 39
Projected implied bound: 30
Clique: 3
MIR: 6
Flow cover: 67
GUB cover: 1
Inf proof: 159
Explored 25697 nodes (473817 simplex iterations) in 31.20 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.800127 0.800127
Optimal solution found (tolerance 1.00e-02)
Best objective 8.001273013282e-01, best bound 8.074182850265e-01, gap 0.9112%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpss8151j9.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7i2eukqz.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.796164
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.172181e+00, 653 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17218 0 65 0.79616 1.17218 47.2% - 0s
0 0 1.06901 0 67 0.79616 1.06901 34.3% - 0s
0 0 1.06901 0 67 0.79616 1.06901 34.3% - 0s
0 0 1.06201 0 73 0.79616 1.06201 33.4% - 0s
0 0 1.06090 0 72 0.79616 1.06090 33.3% - 0s
0 0 1.05969 0 76 0.79616 1.05969 33.1% - 0s
0 0 1.05967 0 77 0.79616 1.05967 33.1% - 0s
0 0 1.05768 0 82 0.79616 1.05768 32.8% - 0s
0 0 1.05766 0 81 0.79616 1.05766 32.8% - 0s
0 0 1.05750 0 87 0.79616 1.05750 32.8% - 0s
0 0 1.05750 0 75 0.79616 1.05750 32.8% - 0s
0 2 1.05750 0 74 0.79616 1.05750 32.8% - 0s
2983 758 cutoff 31 0.79616 0.89499 12.4% 18.9 5s
H 4063 942 0.7961635 0.87905 10.4% 18.6 6s
7088 1485 cutoff 48 0.79616 0.86169 8.23% 17.7 10s
11607 1886 cutoff 41 0.79616 0.84468 6.09% 18.1 15s
15531 1913 0.79863 39 59 0.79616 0.83437 4.80% 18.5 20s
19280 1430 cutoff 62 0.79616 0.82266 3.33% 19.2 25s
Cutting planes:
Gomory: 69
Cover: 2
Implied bound: 27
Projected implied bound: 36
MIR: 7
Flow cover: 83
Inf proof: 116
Explored 22580 nodes (435077 simplex iterations) in 28.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.796164 0.796164
Optimal solution found (tolerance 1.00e-02)
Best objective 7.961635369357e-01, best bound 8.032912146261e-01, gap 0.8953%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjdkufj2x.pyomo.lp
Reading time = 0.00 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpo7lh_r4e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.806944
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.178754e+00, 694 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.17875 0 66 0.80694 1.17875 46.1% - 0s
0 0 1.07115 0 70 0.80694 1.07115 32.7% - 0s
0 0 1.07115 0 70 0.80694 1.07115 32.7% - 0s
0 0 1.06425 0 75 0.80694 1.06425 31.9% - 0s
0 0 1.06401 0 74 0.80694 1.06401 31.9% - 0s
0 0 1.06217 0 77 0.80694 1.06217 31.6% - 0s
0 0 1.06217 0 77 0.80694 1.06217 31.6% - 0s
0 0 1.06211 0 77 0.80694 1.06211 31.6% - 0s
0 0 1.06211 0 68 0.80694 1.06211 31.6% - 0s
0 2 1.06211 0 67 0.80694 1.06211 31.6% - 0s
2732 713 0.84833 39 75 0.80694 0.91113 12.9% 17.8 5s
6885 1438 0.82872 43 63 0.80694 0.87386 8.29% 17.7 10s
10742 1419 cutoff 39 0.80694 0.85942 6.50% 18.7 15s
14483 995 0.81171 48 51 0.80694 0.83982 4.07% 19.4 20s
Cutting planes:
Gomory: 66
Cover: 5
Implied bound: 39
Projected implied bound: 43
MIR: 9
Flow cover: 75
Inf proof: 119
Explored 17670 nodes (328119 simplex iterations) in 23.38 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.806944
Optimal solution found (tolerance 1.00e-02)
Best objective 8.069438227217e-01, best bound 8.135903159637e-01, gap 0.8237%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfky85dne.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp65n191so.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.787225
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.151268e+00, 718 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15127 0 69 0.78723 1.15127 46.2% - 0s
0 0 1.03898 0 62 0.78723 1.03898 32.0% - 0s
0 0 1.03172 0 72 0.78723 1.03172 31.1% - 0s
0 0 1.03152 0 76 0.78723 1.03152 31.0% - 0s
0 0 1.02935 0 76 0.78723 1.02935 30.8% - 0s
0 0 1.02935 0 79 0.78723 1.02935 30.8% - 0s
0 0 1.02935 0 76 0.78723 1.02935 30.8% - 0s
0 2 1.02935 0 76 0.78723 1.02935 30.8% - 0s
3218 953 cutoff 28 0.78723 0.89548 13.8% 18.4 5s
H 5565 1150 0.7872253 0.86683 10.1% 20.6 8s
6575 1283 cutoff 56 0.78723 0.85963 9.20% 20.7 10s
10214 1278 cutoff 39 0.78723 0.83446 6.00% 20.5 15s
15242 736 cutoff 47 0.78723 0.80687 2.50% 19.0 20s
Cutting planes:
Gomory: 44
Cover: 3
Implied bound: 34
Projected implied bound: 29
MIR: 7
Flow cover: 48
GUB cover: 1
Inf proof: 140
Explored 16574 nodes (308484 simplex iterations) in 21.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.787225 0.787225
Optimal solution found (tolerance 1.00e-02)
Best objective 7.872253456617e-01, best bound 7.934636103957e-01, gap 0.7924%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8mv7esew.pyomo.lp
Reading time = 0.00 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyybp_bmk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.772559
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.120454e+00, 677 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12045 0 71 0.77256 1.12045 45.0% - 0s
0 0 1.01383 0 67 0.77256 1.01383 31.2% - 0s
0 0 1.01382 0 67 0.77256 1.01382 31.2% - 0s
0 0 1.00790 0 82 0.77256 1.00790 30.5% - 0s
0 0 1.00765 0 82 0.77256 1.00765 30.4% - 0s
0 0 1.00538 0 79 0.77256 1.00538 30.1% - 0s
0 0 1.00535 0 78 0.77256 1.00535 30.1% - 0s
0 0 1.00535 0 81 0.77256 1.00535 30.1% - 0s
0 0 1.00535 0 77 0.77256 1.00535 30.1% - 0s
0 2 1.00535 0 74 0.77256 1.00535 30.1% - 0s
2845 741 0.87940 30 73 0.77256 0.88498 14.6% 20.4 5s
H 5639 1124 0.7725589 0.84519 9.40% 21.4 9s
6125 1150 cutoff 40 0.77256 0.84114 8.88% 21.5 10s
9748 1322 0.80915 45 66 0.77256 0.81549 5.56% 21.3 15s
14377 1088 cutoff 46 0.77256 0.79613 3.05% 20.0 20s
Cutting planes:
Gomory: 59
Cover: 2
Implied bound: 36
Projected implied bound: 46
Clique: 2
MIR: 15
Flow cover: 60
Inf proof: 132
Explored 17201 nodes (331787 simplex iterations) in 23.74 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.772559 0.772559
Optimal solution found (tolerance 1.00e-02)
Best objective 7.725589104540e-01, best bound 7.795938521026e-01, gap 0.9106%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgpi8d57m.pyomo.lp
Reading time = 0.00 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxjjvue0a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.766587
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.114150e+00, 706 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11415 0 76 0.76659 1.11415 45.3% - 0s
0 0 1.01096 0 77 0.76659 1.01096 31.9% - 0s
0 0 1.01092 0 72 0.76659 1.01092 31.9% - 0s
0 0 1.00701 0 93 0.76659 1.00701 31.4% - 0s
0 0 1.00619 0 95 0.76659 1.00619 31.3% - 0s
0 0 1.00234 0 98 0.76659 1.00234 30.8% - 0s
0 0 1.00231 0 101 0.76659 1.00231 30.8% - 0s
0 0 1.00229 0 99 0.76659 1.00229 30.7% - 0s
0 0 1.00229 0 85 0.76659 1.00229 30.7% - 0s
0 2 1.00229 0 81 0.76659 1.00229 30.7% - 0s
2346 676 0.86722 29 76 0.76659 0.87330 13.9% 20.0 5s
5493 1363 0.80521 33 69 0.76659 0.84530 10.3% 23.1 10s
H 9143 1952 0.7665865 0.82745 7.94% 23.0 14s
9150 1921 0.77295 39 65 0.76659 0.82737 7.93% 23.0 15s
13054 2062 infeasible 49 0.76659 0.81257 6.00% 23.2 20s
16893 1834 infeasible 49 0.76659 0.79887 4.21% 23.1 25s
20157 1193 cutoff 37 0.76659 0.78500 2.40% 22.7 30s
H21780 742 0.7665865 0.77727 1.39% 22.3 32s
Cutting planes:
Gomory: 70
Cover: 2
Implied bound: 39
Projected implied bound: 48
MIR: 23
Flow cover: 99
Inf proof: 124
Explored 22563 nodes (497864 simplex iterations) in 33.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.766587 0.766587 0.766587
Optimal solution found (tolerance 1.00e-02)
Best objective 7.665865377738e-01, best bound 7.740818875581e-01, gap 0.9778%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfhzdahxa.pyomo.lp
Reading time = 0.00 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpn6jz87oe.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.75779
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.103435e+00, 794 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10344 0 80 0.75779 1.10344 45.6% - 0s
0 0 1.00703 0 72 0.75779 1.00703 32.9% - 0s
0 0 1.00698 0 72 0.75779 1.00698 32.9% - 0s
0 0 1.00296 0 89 0.75779 1.00296 32.4% - 0s
0 0 1.00270 0 89 0.75779 1.00270 32.3% - 0s
0 0 0.99482 0 111 0.75779 0.99482 31.3% - 0s
0 0 0.99474 0 111 0.75779 0.99474 31.3% - 0s
0 0 0.99463 0 110 0.75779 0.99463 31.3% - 0s
0 0 0.99463 0 96 0.75779 0.99463 31.3% - 0s
0 2 0.99463 0 96 0.75779 0.99463 31.3% - 0s
2174 803 infeasible 22 0.75779 0.90233 19.1% 20.1 5s
H 2194 770 0.7577902 0.90180 19.0% 20.2 5s
3897 1028 0.77584 30 78 0.75779 0.85737 13.1% 21.5 10s
7488 1670 cutoff 59 0.75779 0.83040 9.58% 20.6 15s
10406 1919 infeasible 39 0.75779 0.81901 8.08% 21.1 20s
13725 2102 0.77042 56 80 0.75779 0.80981 6.86% 21.1 25s
16707 2232 0.77910 47 80 0.75779 0.80171 5.80% 21.0 30s
21064 2282 infeasible 65 0.75779 0.79340 4.70% 20.7 35s
24618 1997 0.77198 51 72 0.75779 0.78531 3.63% 20.6 40s
28467 1428 0.77690 63 61 0.75779 0.77690 2.52% 20.4 45s
Cutting planes:
Gomory: 63
Cover: 1
Implied bound: 41
Projected implied bound: 47
MIR: 17
Flow cover: 70
Inf proof: 207
Explored 31965 nodes (641627 simplex iterations) in 49.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.75779 0.75779
Optimal solution found (tolerance 1.00e-02)
Best objective 7.577902311795e-01, best bound 7.648186576245e-01, gap 0.9275%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpiysdvcrm.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_efannfh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.751978
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.100589e+00, 803 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10059 0 80 0.75198 1.10059 46.4% - 0s
0 0 1.00322 0 74 0.75198 1.00322 33.4% - 0s
0 0 1.00319 0 73 0.75198 1.00319 33.4% - 0s
0 0 0.99863 0 88 0.75198 0.99863 32.8% - 0s
0 0 0.99695 0 93 0.75198 0.99695 32.6% - 0s
0 0 0.98988 0 101 0.75198 0.98988 31.6% - 0s
0 0 0.98979 0 101 0.75198 0.98979 31.6% - 0s
0 0 0.98979 0 101 0.75198 0.98979 31.6% - 0s
0 0 0.98979 0 92 0.75198 0.98979 31.6% - 0s
0 2 0.98979 0 92 0.75198 0.98979 31.6% - 0s
2071 811 0.80950 50 62 0.75198 0.88792 18.1% 20.3 5s
4619 1381 cutoff 30 0.75198 0.85115 13.2% 24.1 10s
H 7047 1773 0.7519780 0.83516 11.1% 24.8 14s
7049 1749 0.78994 30 86 0.75198 0.83461 11.0% 24.8 15s
10286 2111 cutoff 31 0.75198 0.81748 8.71% 24.9 20s
12903 2349 cutoff 44 0.75198 0.80753 7.39% 24.8 25s
16920 2597 0.79526 41 82 0.75198 0.79526 5.76% 24.4 30s
20192 2875 0.77700 39 72 0.75198 0.78987 5.04% 23.8 35s
20706 2847 0.75866 37 78 0.75198 0.78785 4.77% 23.7 44s
21463 2829 0.76012 37 102 0.75198 0.78548 4.46% 23.7 45s
24376 2649 infeasible 40 0.75198 0.77879 3.57% 24.2 50s
27405 2388 cutoff 44 0.75198 0.77240 2.72% 24.1 55s
30694 1769 cutoff 88 0.75198 0.76598 1.86% 24.0 60s
Cutting planes:
Gomory: 99
Cover: 2
Implied bound: 49
Projected implied bound: 32
MIR: 30
Flow cover: 109
Inf proof: 216
Explored 33981 nodes (792182 simplex iterations) in 63.95 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.751978 0.751978
Optimal solution found (tolerance 1.00e-02)
Best objective 7.519780283035e-01, best bound 7.593583336203e-01, gap 0.9815%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmphpfxw66n.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1vd7zz7p.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [1e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.75037
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.093606e+00, 790 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09361 0 80 0.75037 1.09361 45.7% - 0s
0 0 0.99558 0 83 0.75037 0.99558 32.7% - 0s
0 0 0.99555 0 80 0.75037 0.99555 32.7% - 0s
0 0 0.99155 0 97 0.75037 0.99155 32.1% - 0s
0 0 0.99111 0 100 0.75037 0.99111 32.1% - 0s
0 0 0.98623 0 105 0.75037 0.98623 31.4% - 0s
0 0 0.98623 0 105 0.75037 0.98623 31.4% - 0s
0 0 0.98621 0 105 0.75037 0.98621 31.4% - 0s
0 0 0.98621 0 90 0.75037 0.98621 31.4% - 0s
0 2 0.98621 0 90 0.75037 0.98621 31.4% - 0s
1758 709 0.79516 38 82 0.75037 0.87604 16.7% 22.1 5s
H 3446 888 0.7503696 0.83813 11.7% 22.5 8s
4239 1060 0.80224 40 94 0.75037 0.83321 11.0% 22.3 10s
7701 1770 0.79914 38 90 0.75037 0.81906 9.15% 22.6 15s
H 8348 1901 0.7503697 0.81662 8.83% 22.5 16s
10111 2194 0.79730 29 101 0.75037 0.81281 8.32% 22.4 20s
14098 3064 0.78599 34 95 0.75037 0.80424 7.18% 22.0 25s
17969 3576 0.77158 45 75 0.75037 0.79742 6.27% 21.9 30s
20695 3810 0.75771 55 72 0.75037 0.79315 5.70% 22.0 35s
21048 3834 infeasible 33 0.75037 0.79263 5.63% 22.1 44s
21421 3922 0.75643 94 18 0.75037 0.79229 5.59% 22.1 45s
23519 3932 cutoff 47 0.75037 0.78898 5.15% 23.0 50s
26402 3951 0.76945 41 80 0.75037 0.78536 4.66% 24.0 55s
29160 3962 0.75574 40 106 0.75037 0.78197 4.21% 24.6 60s
31786 3773 0.76952 47 73 0.75037 0.77862 3.76% 25.5 65s
34091 3491 0.77163 52 95 0.75037 0.77548 3.35% 26.1 70s
37070 3284 0.76482 52 83 0.75037 0.77181 2.86% 26.3 75s
39925 3043 cutoff 87 0.75037 0.76847 2.41% 26.2 80s
42934 2619 cutoff 68 0.75037 0.76442 1.87% 26.1 85s
46654 2023 cutoff 95 0.75037 0.75982 1.26% 25.5 90s
Cutting planes:
Gomory: 115
Cover: 3
Implied bound: 64
Projected implied bound: 50
MIR: 23
Flow cover: 140
Inf proof: 211
Explored 48477 nodes (1217215 simplex iterations) in 92.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.75037 0.75037 0.75037
Optimal solution found (tolerance 1.00e-02)
Best objective 7.503696459852e-01, best bound 7.576712222764e-01, gap 0.9731%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprymtmtah.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpuu3cj4k2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.74769
Presolve removed 564 rows and 366 columns
Presolve time: 0.03s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.085469e+00, 845 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08547 0 82 0.74769 1.08547 45.2% - 0s
0 0 0.98834 0 91 0.74769 0.98834 32.2% - 0s
0 0 0.98823 0 86 0.74769 0.98823 32.2% - 0s
0 0 0.98480 0 95 0.74769 0.98480 31.7% - 0s
0 0 0.98404 0 95 0.74769 0.98404 31.6% - 0s
0 0 0.98183 0 94 0.74769 0.98183 31.3% - 0s
0 0 0.98177 0 93 0.74769 0.98177 31.3% - 0s
0 0 0.98142 0 96 0.74769 0.98142 31.3% - 0s
0 0 0.98142 0 96 0.74769 0.98142 31.3% - 0s
0 2 0.98142 0 96 0.74769 0.98142 31.3% - 0s
1909 760 0.75939 29 83 0.74769 0.90902 21.6% 23.3 5s
H 3486 956 0.7476896 0.85820 14.8% 27.9 8s
4022 1050 0.78256 38 90 0.74769 0.85093 13.8% 28.5 10s
6471 1672 0.76970 46 65 0.74769 0.82254 10.0% 27.3 15s
H 9105 2627 0.7476896 0.81456 8.94% 25.7 19s
9118 2604 0.78694 46 73 0.74769 0.81444 8.93% 25.7 20s
12804 3533 cutoff 43 0.74769 0.80548 7.73% 24.5 25s
16159 4042 0.77250 59 80 0.74769 0.79948 6.93% 24.1 30s
19566 4546 0.76096 36 98 0.74769 0.79536 6.38% 23.8 35s
20877 4727 0.77464 42 96 0.74769 0.79412 6.21% 23.8 47s
20891 4736 0.75883 68 134 0.74769 0.79412 6.21% 23.8 50s
20901 4743 0.76160 72 146 0.74769 0.79412 6.21% 23.8 55s
20908 4748 0.78848 43 154 0.74769 0.79412 6.21% 23.8 60s
20916 4753 0.76126 38 151 0.74769 0.79412 6.21% 23.7 65s
20925 4759 0.78540 40 154 0.74769 0.79412 6.21% 23.7 70s
20933 4764 0.78568 41 157 0.74769 0.79412 6.21% 23.7 75s
20941 4770 0.78876 34 155 0.74769 0.79412 6.21% 23.7 80s
20950 4776 0.77333 52 162 0.74769 0.79412 6.21% 23.7 85s
20959 4782 0.79237 44 158 0.74769 0.79412 6.21% 23.7 90s
20967 4787 0.75097 41 155 0.74769 0.79412 6.21% 23.7 95s
20975 4792 0.77701 53 144 0.74769 0.79412 6.21% 23.7 100s
20983 4798 0.77207 49 147 0.74769 0.79412 6.21% 23.7 105s
20990 4805 0.79412 25 133 0.74769 0.79412 6.21% 24.3 110s
21012 4808 0.79412 31 134 0.74769 0.79412 6.21% 24.5 115s
21391 4850 cutoff 46 0.74769 0.79120 5.82% 25.2 120s
22152 4844 0.77524 47 103 0.74769 0.78342 4.78% 26.3 125s
23299 4764 0.75500 50 112 0.74769 0.77788 4.04% 28.0 130s
24374 4605 0.75930 43 112 0.74769 0.77437 3.57% 29.8 135s
25717 4379 cutoff 60 0.74769 0.77158 3.19% 30.8 140s
26111 4295 cutoff 43 0.74769 0.77032 3.03% 31.3 145s
27369 3918 cutoff 65 0.74769 0.76703 2.59% 32.7 150s
28687 3430 infeasible 45 0.74769 0.76401 2.18% 34.3 155s
30369 2933 0.75031 70 79 0.74769 0.76022 1.68% 34.6 160s
32044 2340 cutoff 61 0.74769 0.75600 1.11% 34.6 165s
Cutting planes:
Gomory: 170
Cover: 6
Implied bound: 16
Projected implied bound: 41
Clique: 1
MIR: 122
StrongCG: 3
Flow cover: 473
Inf proof: 62
Explored 32735 nodes (1127926 simplex iterations) in 166.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.74769 0.74769 0.74769
Optimal solution found (tolerance 1.00e-02)
Best objective 7.476895631952e-01, best bound 7.550888554885e-01, gap 0.9896%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpphddptpf.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzyvzs_eu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.738323
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.068160e+00, 857 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06816 0 83 0.73832 1.06816 44.7% - 0s
0 0 0.97592 0 88 0.73832 0.97592 32.2% - 0s
0 0 0.97588 0 87 0.73832 0.97588 32.2% - 0s
0 0 0.97223 0 98 0.73832 0.97223 31.7% - 0s
0 0 0.97164 0 95 0.73832 0.97164 31.6% - 0s
0 0 0.96640 0 98 0.73832 0.96640 30.9% - 0s
0 0 0.96565 0 100 0.73832 0.96565 30.8% - 0s
0 0 0.96527 0 105 0.73832 0.96527 30.7% - 0s
0 0 0.96524 0 106 0.73832 0.96524 30.7% - 0s
0 0 0.96520 0 105 0.73832 0.96520 30.7% - 0s
0 0 0.96520 0 94 0.73832 0.96520 30.7% - 0s
0 2 0.96520 0 94 0.73832 0.96520 30.7% - 0s
1235 645 0.75289 41 77 0.73832 0.87994 19.2% 24.3 5s
3919 1601 infeasible 31 0.73832 0.83445 13.0% 24.7 10s
6125 2095 0.75622 29 99 0.73832 0.82149 11.3% 27.0 15s
H 7221 2277 0.7383226 0.81513 10.4% 27.6 17s
8273 2458 infeasible 40 0.73832 0.81033 9.75% 28.0 20s
H10247 2721 0.7383226 0.80203 8.63% 28.4 24s
10308 2691 0.76522 37 100 0.73832 0.80194 8.62% 28.4 25s
12693 2911 0.76671 31 96 0.73832 0.79423 7.57% 28.5 30s
15372 3284 0.76349 33 111 0.73832 0.78879 6.83% 28.2 35s
17587 3484 0.78317 42 91 0.73832 0.78509 6.33% 28.1 40s
20174 3713 0.75113 46 89 0.73832 0.78082 5.76% 28.0 45s
20666 3780 cutoff 47 0.73832 0.78026 5.68% 27.9 54s
21142 3827 0.77246 45 99 0.73832 0.77950 5.58% 27.7 55s
23037 3846 0.74800 41 100 0.73832 0.77570 5.06% 28.6 60s
H23046 3846 0.7383226 0.77570 5.06% 28.6 60s
24760 3772 0.77059 48 95 0.73832 0.77328 4.74% 29.3 65s
27091 3615 0.74667 51 75 0.73832 0.76964 4.24% 30.1 70s
28515 3606 cutoff 38 0.73832 0.76765 3.97% 30.4 75s
30235 3362 cutoff 35 0.73832 0.76521 3.64% 30.9 80s
32677 3292 infeasible 46 0.73832 0.76231 3.25% 31.0 85s
34860 3121 0.75305 42 104 0.73832 0.75976 2.90% 31.1 90s
37560 2803 0.74540 38 109 0.73832 0.75637 2.45% 31.1 95s
40316 2577 cutoff 48 0.73832 0.75332 2.03% 30.7 100s
43568 2710 0.75000 94 50 0.73832 0.75058 1.66% 29.8 105s
47510 2832 cutoff 97 0.73832 0.74802 1.31% 28.6 110s
51728 2736 cutoff 121 0.73832 0.74569 1.00% 27.3 115s
Cutting planes:
Learned: 1
Gomory: 110
Cover: 4
Implied bound: 42
Projected implied bound: 50
MIR: 26
Flow cover: 127
Inf proof: 173
Explored 52184 nodes (1420655 simplex iterations) in 115.30 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.738323 0.738323 0.738323 0.738323
Optimal solution found (tolerance 1.00e-02)
Best objective 7.383226125540e-01, best bound 7.456424412325e-01, gap 0.9914%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_8hdqzq0.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_i9yqsol.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.719678
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.040776e+00, 866 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04078 0 87 0.71968 1.04078 44.6% - 0s
0 0 0.95546 0 89 0.71968 0.95546 32.8% - 0s
0 0 0.95542 0 88 0.71968 0.95542 32.8% - 0s
0 0 0.94944 0 98 0.71968 0.94944 31.9% - 0s
0 0 0.94906 0 98 0.71968 0.94906 31.9% - 0s
0 0 0.94773 0 98 0.71968 0.94773 31.7% - 0s
0 0 0.94752 0 99 0.71968 0.94752 31.7% - 0s
0 0 0.94727 0 101 0.71968 0.94727 31.6% - 0s
0 0 0.94727 0 94 0.71968 0.94727 31.6% - 0s
0 2 0.94727 0 94 0.71968 0.94727 31.6% - 0s
1992 885 infeasible 35 0.71968 0.87493 21.6% 23.4 5s
3683 1400 0.74796 34 86 0.71968 0.85964 19.4% 29.1 10s
H 4886 1754 0.7196775 0.84583 17.5% 30.5 13s
5543 1916 infeasible 27 0.71968 0.84057 16.8% 31.1 15s
7979 2273 cutoff 35 0.71968 0.82276 14.3% 32.3 20s
10447 2524 0.78727 38 95 0.71968 0.81002 12.6% 32.8 25s
12538 2762 0.78779 31 94 0.71968 0.80138 11.4% 32.6 30s
15158 2952 0.77573 33 101 0.71968 0.79323 10.2% 33.1 35s
17708 3242 infeasible 35 0.71968 0.78682 9.33% 32.9 40s
19727 3289 0.72587 47 64 0.71968 0.78163 8.61% 33.1 45s
21052 3468 0.76498 65 94 0.71968 0.77928 8.28% 33.0 57s
21063 3475 0.76168 45 132 0.71968 0.77928 8.28% 33.0 60s
21069 3479 0.73288 36 148 0.71968 0.77928 8.28% 33.0 65s
21077 3485 0.77855 37 146 0.71968 0.77928 8.28% 33.0 70s
21085 3490 0.76252 40 156 0.71968 0.77928 8.28% 33.0 75s
21092 3495 0.77206 30 154 0.71968 0.77928 8.28% 32.9 80s
21098 3499 0.76073 48 159 0.71968 0.77928 8.28% 32.9 85s
21105 3503 0.75687 37 156 0.71968 0.77928 8.28% 32.9 90s
21111 3507 0.77760 35 167 0.71968 0.77928 8.28% 32.9 95s
21120 3513 0.75437 34 174 0.71968 0.77928 8.28% 32.9 100s
21129 3519 0.75997 37 170 0.71968 0.77928 8.28% 32.9 105s
21137 3525 0.77731 39 180 0.71968 0.77928 8.28% 32.9 110s
21145 3530 0.75816 39 163 0.71968 0.77928 8.28% 32.9 115s
21153 3535 0.73589 36 167 0.71968 0.77928 8.28% 32.8 120s
21160 3540 0.76724 48 180 0.71968 0.77928 8.28% 32.8 125s
21169 3546 0.73288 36 175 0.71968 0.77928 8.28% 32.8 130s
21176 3551 0.73016 43 177 0.71968 0.77928 8.28% 32.8 135s
21184 3556 0.73314 36 172 0.71968 0.77928 8.28% 32.8 140s
21189 3559 0.77928 28 173 0.71968 0.77928 8.28% 33.6 145s
21202 3560 0.77928 32 162 0.71968 0.77928 8.28% 33.7 150s
21505 3585 0.77577 38 160 0.71968 0.77928 8.28% 34.0 155s
22248 3691 0.75289 43 133 0.71968 0.77254 7.35% 35.0 160s
H22937 3495 0.7196775 0.76438 6.21% 36.2 164s
22938 3493 0.73328 48 118 0.71968 0.76427 6.20% 36.2 165s
23817 3455 0.72130 47 107 0.71968 0.75797 5.32% 37.6 170s
24452 3415 0.72177 45 114 0.71968 0.75459 4.85% 38.5 175s
25347 3344 0.72471 40 149 0.71968 0.75078 4.32% 39.5 180s
26502 3191 cutoff 42 0.71968 0.74819 3.96% 40.4 185s
27727 2981 0.73466 46 121 0.71968 0.74540 3.57% 41.1 190s
29239 2665 0.72873 45 123 0.71968 0.74266 3.19% 41.8 196s
30196 2509 0.72700 45 123 0.71968 0.74081 2.94% 41.9 201s
31008 2214 cutoff 43 0.71968 0.73948 2.75% 42.2 206s
32513 2244 cutoff 47 0.71968 0.73735 2.46% 42.2 210s
33697 2253 0.73446 37 158 0.71968 0.73542 2.19% 42.5 215s
35298 2187 cutoff 46 0.71968 0.73276 1.82% 42.8 220s
36658 2069 0.72053 43 86 0.71968 0.73112 1.59% 42.7 225s
38758 2011 cutoff 100 0.71968 0.72928 1.33% 42.1 230s
40464 1785 cutoff 117 0.71968 0.72770 1.11% 41.7 235s
Cutting planes:
Gomory: 176
Cover: 6
Implied bound: 28
Projected implied bound: 58
MIR: 162
Flow cover: 554
Inf proof: 101
Zero half: 1
Explored 41706 nodes (1721720 simplex iterations) in 237.43 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.719678 0.719678 0.719678
Optimal solution found (tolerance 1.00e-02)
Best objective 7.196775366508e-01, best bound 7.264501315776e-01, gap 0.9411%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7x8aganm.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8hv9bnrl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.702153
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.014603e+00, 879 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01460 0 86 0.70215 1.01460 44.5% - 0s
0 0 0.94067 0 94 0.70215 0.94067 34.0% - 0s
0 0 0.94058 0 94 0.70215 0.94058 34.0% - 0s
0 0 0.93510 0 106 0.70215 0.93510 33.2% - 0s
0 0 0.93440 0 106 0.70215 0.93440 33.1% - 0s
0 0 0.93228 0 104 0.70215 0.93228 32.8% - 0s
0 0 0.93228 0 103 0.70215 0.93228 32.8% - 0s
0 0 0.93172 0 115 0.70215 0.93172 32.7% - 0s
0 0 0.93171 0 115 0.70215 0.93171 32.7% - 0s
0 0 0.93143 0 111 0.70215 0.93143 32.7% - 0s
0 0 0.93143 0 101 0.70215 0.93143 32.7% - 0s
0 2 0.93143 0 101 0.70215 0.93143 32.7% - 0s
2031 825 0.76265 33 92 0.70215 0.83145 18.4% 23.3 5s
4572 1656 0.76856 29 97 0.70215 0.81290 15.8% 25.8 10s
7108 2216 0.77678 30 93 0.70215 0.79529 13.3% 27.7 16s
8895 2466 0.72355 37 94 0.70215 0.78477 11.8% 28.2 20s
11667 2832 cutoff 40 0.70215 0.77219 10.0% 29.1 25s
H12914 3045 0.7021532 0.76785 9.36% 28.9 27s
H12943 3046 0.7021532 0.76785 9.36% 28.9 27s
13777 3075 cutoff 35 0.70215 0.76541 9.01% 28.9 30s
15851 3286 infeasible 41 0.70215 0.75997 8.23% 28.8 35s
18974 3478 0.71738 54 80 0.70215 0.75241 7.16% 28.6 40s
20758 3668 0.74789 47 101 0.70215 0.74866 6.62% 28.3 53s
20767 3674 0.71738 39 145 0.70215 0.74866 6.62% 28.3 55s
20774 3679 0.74209 32 150 0.70215 0.74866 6.62% 28.3 60s
20781 3683 0.73824 45 176 0.70215 0.74866 6.62% 28.3 65s
20789 3689 0.73152 42 174 0.70215 0.74866 6.62% 28.2 70s
20797 3694 0.72208 90 182 0.70215 0.74866 6.62% 28.2 75s
20804 3699 0.71002 44 184 0.70215 0.74866 6.62% 28.2 80s
20813 3705 0.74149 49 186 0.70215 0.74866 6.62% 28.2 85s
20822 3711 0.72832 60 183 0.70215 0.74866 6.62% 28.2 90s
20830 3716 0.71758 38 192 0.70215 0.74866 6.62% 28.2 95s
20839 3722 0.73723 33 189 0.70215 0.74866 6.62% 28.2 100s
20847 3727 0.73221 36 186 0.70215 0.74866 6.62% 28.2 105s
20853 3731 0.73859 42 189 0.70215 0.74866 6.62% 28.2 110s
20861 3737 0.72982 39 194 0.70215 0.74866 6.62% 28.1 115s
20867 3741 0.71738 39 200 0.70215 0.74866 6.62% 28.1 120s
20877 3747 0.71313 116 193 0.70215 0.74866 6.62% 28.1 125s
20886 3753 0.72435 38 196 0.70215 0.74866 6.62% 28.1 130s
20894 3759 0.72200 34 200 0.70215 0.74866 6.62% 28.1 135s
20904 3765 0.71002 44 187 0.70215 0.74866 6.62% 28.1 141s
20910 3769 0.71769 36 201 0.70215 0.74866 6.62% 28.1 145s
20919 3775 0.74188 32 198 0.70215 0.74866 6.62% 28.1 150s
20929 3782 0.72341 36 198 0.70215 0.74866 6.62% 28.1 155s
20938 3788 0.74717 48 197 0.70215 0.74866 6.62% 28.0 160s
20943 3793 0.74866 23 181 0.70215 0.74866 6.62% 29.3 166s
20945 3794 0.74866 24 178 0.70215 0.74866 6.62% 29.3 173s
20948 3797 0.74866 25 188 0.70215 0.74866 6.62% 29.3 176s
21144 3817 cutoff 30 0.70215 0.74866 6.62% 30.1 180s
21818 3943 0.71311 52 115 0.70215 0.74866 6.62% 31.3 185s
22543 4010 0.71259 51 127 0.70215 0.74866 6.62% 32.9 190s
23171 4043 0.71870 52 127 0.70215 0.74866 6.62% 34.4 195s
23838 4047 0.71412 33 138 0.70215 0.74866 6.62% 36.1 200s
24558 4073 0.73739 39 160 0.70215 0.74866 6.62% 37.9 205s
25189 4059 cutoff 41 0.70215 0.74866 6.62% 39.3 210s
25551 4029 0.73640 42 152 0.70215 0.74866 6.62% 40.1 215s
26286 3981 0.72864 39 135 0.70215 0.74866 6.62% 41.6 220s
26954 3899 0.71842 42 152 0.70215 0.74827 6.57% 43.2 226s
27441 3878 cutoff 44 0.70215 0.74731 6.43% 44.0 230s
28290 3789 0.70810 49 128 0.70215 0.74571 6.20% 45.5 236s
28824 3732 0.71937 45 146 0.70215 0.74485 6.08% 46.8 243s
28889 3704 0.70414 58 99 0.70215 0.74465 6.05% 46.9 246s
29544 3646 0.72489 41 143 0.70215 0.74363 5.91% 48.2 251s
30159 3538 0.71420 46 134 0.70215 0.74270 5.78% 49.4 256s
30929 3446 cutoff 44 0.70215 0.74166 5.63% 50.6 263s
31315 3390 0.73491 44 141 0.70215 0.74111 5.55% 51.3 265s
31891 3294 0.71269 46 151 0.70215 0.74084 5.51% 52.4 271s
32622 3255 0.72755 39 153 0.70215 0.73951 5.32% 53.7 277s
33016 3313 0.73732 49 149 0.70215 0.73896 5.24% 54.4 280s
33694 3330 cutoff 45 0.70215 0.73816 5.13% 55.8 286s
34420 3415 cutoff 45 0.70215 0.73715 4.98% 57.1 292s
34681 3411 0.70642 51 134 0.70215 0.73678 4.93% 57.7 295s
35368 3438 0.70396 36 133 0.70215 0.73600 4.82% 59.0 301s
36155 3484 0.71068 47 126 0.70215 0.73490 4.66% 60.2 307s
36593 3501 cutoff 56 0.70215 0.73466 4.63% 60.7 310s
37518 3601 cutoff 49 0.70215 0.73337 4.45% 61.7 316s
38315 3682 cutoff 50 0.70215 0.73261 4.34% 62.7 322s
38688 3686 cutoff 43 0.70215 0.73207 4.26% 63.2 325s
39392 3695 cutoff 44 0.70215 0.73117 4.13% 64.3 331s
40195 3730 0.70737 48 117 0.70215 0.73030 4.01% 65.3 337s
40520 3705 0.71136 39 139 0.70215 0.72981 3.94% 65.9 340s
41275 3658 cutoff 64 0.70215 0.72861 3.77% 66.8 346s
42028 3631 0.70264 43 97 0.70215 0.72741 3.60% 67.8 352s
42415 3594 infeasible 48 0.70215 0.72691 3.53% 68.1 355s
43134 3540 cutoff 43 0.70215 0.72609 3.41% 69.0 361s
43887 3493 0.72053 47 111 0.70215 0.72498 3.25% 69.7 366s
44708 3454 0.70743 46 152 0.70215 0.72409 3.12% 70.4 372s
45088 3442 cutoff 46 0.70215 0.72368 3.07% 70.7 375s
45849 3353 0.70843 43 153 0.70215 0.72269 2.93% 71.4 381s
46533 3283 0.70940 48 120 0.70215 0.72192 2.82% 71.9 387s
47189 3184 0.71437 56 115 0.70215 0.72109 2.70% 72.3 391s
47836 3132 cutoff 58 0.70215 0.72024 2.58% 72.7 396s
48456 3040 cutoff 45 0.70215 0.71946 2.46% 73.0 401s
49108 2959 infeasible 52 0.70215 0.71870 2.36% 73.4 406s
49704 2892 0.70678 60 82 0.70215 0.71793 2.25% 73.6 413s
49782 2808 cutoff 44 0.70215 0.71786 2.24% 73.7 415s
50481 2605 cutoff 47 0.70215 0.71662 2.06% 74.1 421s
51186 2405 0.70726 53 95 0.70215 0.71539 1.89% 74.5 426s
51926 2096 infeasible 61 0.70215 0.71388 1.67% 75.0 431s
52787 1900 0.71272 75 57 0.70215 0.71272 1.51% 75.0 435s
53614 1639 0.70636 81 51 0.70215 0.71114 1.28% 74.9 440s
54738 1368 0.70514 74 66 0.70215 0.70926 1.01% 74.5 445s
Cutting planes:
Gomory: 182
Cover: 9
Implied bound: 42
Projected implied bound: 57
MIR: 166
StrongCG: 4
Flow cover: 662
Inf proof: 138
Zero half: 1
Explored 54988 nodes (4093584 simplex iterations) in 445.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.702153 0.702153 0.702153
Optimal solution found (tolerance 1.00e-02)
Best objective 7.021531738088e-01, best bound 7.090190085894e-01, gap 0.9778%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplkyelbtd.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxz7s92im.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.702491
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.009052e+00, 896 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00905 0 89 0.70249 1.00905 43.6% - 0s
0 0 0.93943 0 89 0.70249 0.93943 33.7% - 0s
0 0 0.93943 0 89 0.70249 0.93943 33.7% - 0s
0 0 0.93478 0 99 0.70249 0.93478 33.1% - 0s
0 0 0.93421 0 99 0.70249 0.93421 33.0% - 0s
0 0 0.93064 0 100 0.70249 0.93064 32.5% - 0s
0 0 0.93055 0 99 0.70249 0.93055 32.5% - 0s
0 0 0.93026 0 108 0.70249 0.93026 32.4% - 0s
0 0 0.93026 0 100 0.70249 0.93026 32.4% - 0s
0 2 0.93026 0 100 0.70249 0.93026 32.4% - 0s
1283 613 cutoff 27 0.70249 0.84419 20.2% 24.5 5s
3124 1178 0.75259 27 102 0.70249 0.81899 16.6% 32.4 10s
H 3451 1314 0.7024910 0.81729 16.3% 33.3 11s
H 4449 1632 0.7024910 0.81059 15.4% 34.8 14s
4588 1663 0.77299 26 102 0.70249 0.80924 15.2% 35.3 15s
5980 2001 cutoff 30 0.70249 0.79998 13.9% 37.8 20s
7370 2235 cutoff 29 0.70249 0.79257 12.8% 40.2 25s
8671 2339 0.73915 28 107 0.70249 0.78503 11.8% 42.8 30s
10070 2461 0.70824 42 64 0.70249 0.77963 11.0% 43.9 35s
11945 2654 0.71595 32 84 0.70249 0.77139 9.81% 44.9 41s
13515 2770 cutoff 31 0.70249 0.76627 9.08% 45.3 45s
14314 2821 0.71880 31 83 0.70249 0.76374 8.72% 45.7 50s
16512 3039 infeasible 33 0.70249 0.75732 7.81% 45.6 56s
17373 3068 cutoff 46 0.70249 0.75550 7.55% 45.5 60s
19307 3227 infeasible 32 0.70249 0.75180 7.02% 44.7 65s
20740 3254 cutoff 39 0.70249 0.74967 6.72% 44.1 79s
21189 3281 cutoff 33 0.70249 0.74890 6.61% 44.0 80s
23023 3301 0.71005 41 92 0.70249 0.74496 6.05% 44.6 85s
24635 3383 cutoff 29 0.70249 0.74221 5.65% 44.6 90s
26498 3299 cutoff 28 0.70249 0.73970 5.30% 45.0 95s
28304 3232 cutoff 42 0.70249 0.73628 4.81% 45.3 100s
29994 3067 cutoff 44 0.70249 0.73255 4.28% 45.4 105s
31950 3035 infeasible 33 0.70249 0.72898 3.77% 45.1 110s
34090 2884 cutoff 45 0.70249 0.72536 3.26% 44.5 115s
36571 2776 cutoff 50 0.70249 0.72179 2.75% 43.4 120s
39582 2634 cutoff 57 0.70249 0.71803 2.21% 42.0 125s
42453 2578 cutoff 68 0.70249 0.71493 1.77% 40.6 130s
45983 2290 cutoff 93 0.70249 0.71103 1.22% 38.7 135s
Cutting planes:
Gomory: 152
Cover: 5
Implied bound: 95
Projected implied bound: 56
Clique: 1
MIR: 34
Flow cover: 148
Inf proof: 233
Explored 47287 nodes (1799604 simplex iterations) in 136.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.702491 0.702491 0.702491
Optimal solution found (tolerance 1.00e-02)
Best objective 7.024910027626e-01, best bound 7.095055316047e-01, gap 0.9985%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpoff8ndv7.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc3llxnip.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.701334
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.004616e+00, 994 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00462 0 89 0.70133 1.00462 43.2% - 0s
0 0 0.93702 0 100 0.70133 0.93702 33.6% - 0s
0 0 0.93701 0 100 0.70133 0.93701 33.6% - 0s
0 0 0.93288 0 110 0.70133 0.93288 33.0% - 0s
0 0 0.93286 0 110 0.70133 0.93286 33.0% - 0s
0 0 0.93225 0 112 0.70133 0.93225 32.9% - 0s
0 0 0.93225 0 113 0.70133 0.93225 32.9% - 0s
0 0 0.92843 0 111 0.70133 0.92843 32.4% - 0s
0 0 0.92842 0 112 0.70133 0.92842 32.4% - 0s
0 0 0.92831 0 109 0.70133 0.92831 32.4% - 0s
0 0 0.92829 0 110 0.70133 0.92829 32.4% - 0s
0 0 0.92827 0 116 0.70133 0.92827 32.4% - 0s
0 0 0.92827 0 95 0.70133 0.92827 32.4% - 0s
0 2 0.92827 0 95 0.70133 0.92827 32.4% - 0s
1449 700 0.83303 23 107 0.70133 0.85564 22.0% 27.6 5s
3605 1017 cutoff 41 0.70133 0.80545 14.8% 33.6 10s
6400 1768 0.76354 33 111 0.70133 0.78111 11.4% 31.8 15s
9583 2484 0.73726 30 111 0.70133 0.77007 9.80% 30.4 20s
11507 2780 0.70930 58 68 0.70133 0.76526 9.11% 30.1 25s
H12983 3119 0.7013336 0.76095 8.50% 29.5 27s
H13000 3120 0.7013336 0.76095 8.50% 29.5 27s
13823 3215 0.73993 51 77 0.70133 0.75895 8.22% 29.3 30s
17466 3703 0.70829 43 89 0.70133 0.75183 7.20% 28.5 35s
20068 3869 0.73149 43 88 0.70133 0.74611 6.38% 28.5 40s
20443 3972 0.74029 39 95 0.70133 0.74540 6.28% 28.5 52s
20453 3979 0.72342 59 148 0.70133 0.74540 6.28% 28.5 55s
20460 3983 0.71482 46 146 0.70133 0.74540 6.28% 28.5 60s
20471 3991 0.73502 82 174 0.70133 0.74540 6.28% 28.5 65s
20477 3995 0.70882 40 167 0.70133 0.74540 6.28% 28.5 70s
20483 3999 0.74070 53 173 0.70133 0.74540 6.28% 28.4 75s
20491 4004 0.70509 61 180 0.70133 0.74540 6.28% 28.4 80s
20497 4008 0.71490 59 180 0.70133 0.74540 6.28% 28.4 85s
20504 4013 0.70550 94 185 0.70133 0.74540 6.28% 28.4 90s
20510 4017 0.72237 53 175 0.70133 0.74540 6.28% 28.4 95s
20518 4022 0.71889 49 164 0.70133 0.74540 6.28% 28.4 100s
20525 4027 0.71753 30 200 0.70133 0.74540 6.28% 28.4 105s
20531 4031 0.71042 46 196 0.70133 0.74540 6.28% 28.4 110s
20538 4035 0.71803 48 189 0.70133 0.74540 6.28% 28.4 115s
20546 4041 0.72983 65 187 0.70133 0.74540 6.28% 28.4 120s
20553 4045 0.72342 59 193 0.70133 0.74540 6.28% 28.3 125s
20561 4051 0.73381 44 192 0.70133 0.74540 6.28% 28.3 130s
20567 4055 0.70734 36 197 0.70133 0.74540 6.28% 28.3 135s
20573 4059 0.71741 90 198 0.70133 0.74540 6.28% 28.3 140s
H20573 3853 0.7013336 0.74540 6.28% 28.3 142s
20577 3855 0.70882 40 187 0.70133 0.74540 6.28% 28.3 145s
20580 3859 0.74540 27 177 0.70133 0.74540 6.28% 29.4 150s
20582 3860 0.74540 28 175 0.70133 0.74540 6.28% 29.4 156s
20589 3861 0.74540 30 178 0.70133 0.74540 6.28% 29.4 161s
20949 3955 0.72560 52 123 0.70133 0.74540 6.28% 29.8 165s
21493 4044 cutoff 41 0.70133 0.74540 6.28% 30.9 170s
21976 4069 0.71448 41 161 0.70133 0.74540 6.28% 32.5 175s
22704 4218 0.72112 41 166 0.70133 0.74540 6.28% 33.6 180s
23270 4272 0.70638 42 145 0.70133 0.74540 6.28% 35.0 185s
23816 4311 cutoff 43 0.70133 0.74477 6.19% 36.1 190s
24322 4290 cutoff 41 0.70133 0.74351 6.01% 37.7 195s
24812 4297 cutoff 43 0.70133 0.74242 5.86% 39.3 200s
25260 4268 0.71262 47 148 0.70133 0.74146 5.72% 40.9 206s
25728 4238 0.70897 44 151 0.70133 0.74079 5.63% 42.0 213s
25738 4218 0.70674 45 148 0.70133 0.74070 5.61% 42.0 215s
26276 4135 0.72886 40 173 0.70133 0.73941 5.43% 43.6 220s
26766 4099 0.71908 39 154 0.70133 0.73807 5.24% 45.4 226s
26988 4014 0.72358 46 137 0.70133 0.73726 5.12% 46.4 230s
27438 3951 cutoff 40 0.70133 0.73640 5.00% 47.5 235s
28049 3875 0.73318 39 152 0.70133 0.73567 4.90% 48.4 240s
28670 3767 cutoff 46 0.70133 0.73472 4.76% 49.6 246s
29199 3620 cutoff 41 0.70133 0.73344 4.58% 50.9 251s
29522 3570 0.70626 42 179 0.70133 0.73288 4.50% 51.6 255s
30124 3406 0.70858 43 151 0.70133 0.73169 4.33% 52.7 262s
30605 3330 0.72282 50 144 0.70133 0.73137 4.28% 53.6 265s
31452 3133 cutoff 42 0.70133 0.72998 4.08% 55.7 273s
31951 3042 cutoff 46 0.70133 0.72949 4.01% 56.5 277s
32341 2993 cutoff 51 0.70133 0.72873 3.91% 57.6 280s
33211 3033 0.70846 45 152 0.70133 0.72768 3.76% 59.2 287s
33636 3105 0.71433 64 125 0.70133 0.72768 3.76% 60.0 293s
H33702 3112 0.7013336 0.72685 3.64% 60.2 293s
33727 3115 infeasible 50 0.70133 0.72685 3.64% 60.2 300s
34292 3106 0.70338 58 118 0.70133 0.72657 3.60% 60.7 308s
34832 3193 0.70714 41 157 0.70133 0.72542 3.43% 61.3 311s
35257 3191 0.70632 61 118 0.70133 0.72518 3.40% 62.0 315s
36055 3164 cutoff 55 0.70133 0.72334 3.14% 63.2 322s
36507 3203 cutoff 47 0.70133 0.72309 3.10% 63.7 325s
37653 3387 cutoff 51 0.70133 0.72186 2.93% 64.4 332s
38101 3394 0.71127 38 177 0.70133 0.72130 2.85% 64.8 335s
39265 3542 0.70994 65 103 0.70133 0.72037 2.71% 65.0 341s
40332 3660 infeasible 52 0.70133 0.71943 2.58% 65.4 347s
40995 3747 0.71742 71 91 0.70133 0.71880 2.49% 65.3 350s
41797 3766 0.71741 44 145 0.70133 0.71792 2.37% 66.0 355s
43178 3946 0.70760 62 119 0.70133 0.71656 2.17% 65.8 362s
44122 4092 infeasible 57 0.70133 0.71601 2.09% 65.7 366s
44794 4086 0.71539 63 114 0.70133 0.71539 2.00% 65.8 370s
46167 4206 cutoff 66 0.70133 0.71432 1.85% 65.5 376s
47366 4247 0.70454 43 156 0.70133 0.71343 1.73% 65.4 381s
48038 4227 cutoff 80 0.70133 0.71291 1.65% 65.3 385s
49227 4298 cutoff 49 0.70133 0.71221 1.55% 65.1 390s
50550 4378 0.70705 83 79 0.70133 0.71155 1.46% 64.6 395s
52057 4288 cutoff 83 0.70133 0.71048 1.30% 64.1 400s
53414 4214 0.70569 59 117 0.70133 0.70981 1.21% 63.5 405s
55045 4117 infeasible 73 0.70133 0.70900 1.09% 62.7 410s
56232 4013 0.70715 74 71 0.70133 0.70838 1.01% 62.1 415s
Cutting planes:
Gomory: 178
Cover: 12
Implied bound: 47
Projected implied bound: 40
Clique: 1
MIR: 211
Flow cover: 642
Inf proof: 137
Zero half: 3
Explored 56499 nodes (3504044 simplex iterations) in 415.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.701334 0.701334 0.701334 ... 0.701334
Optimal solution found (tolerance 1.00e-02)
Best objective 7.013335770453e-01, best bound 7.082244379407e-01, gap 0.9825%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8c3yxze2.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp597vao76.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.687717
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 9.856937e-01, 928 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98569 0 88 0.68772 0.98569 43.3% - 0s
0 0 0.91557 0 94 0.68772 0.91557 33.1% - 0s
0 0 0.91555 0 94 0.68772 0.91555 33.1% - 0s
0 0 0.91294 0 103 0.68772 0.91294 32.7% - 0s
0 0 0.91270 0 103 0.68772 0.91270 32.7% - 0s
0 0 0.90932 0 104 0.68772 0.90932 32.2% - 0s
0 0 0.90932 0 104 0.68772 0.90932 32.2% - 0s
0 0 0.90932 0 104 0.68772 0.90932 32.2% - 0s
0 0 0.90932 0 104 0.68772 0.90932 32.2% - 0s
0 0 0.90932 0 94 0.68772 0.90932 32.2% - 0s
0 2 0.90932 0 93 0.68772 0.90932 32.2% - 0s
1546 745 0.72759 48 93 0.68772 0.83821 21.9% 20.2 5s
4282 1365 0.75412 27 100 0.68772 0.78500 14.1% 25.0 10s
7080 1933 0.72691 37 96 0.68772 0.76366 11.0% 26.1 15s
H 7807 2093 0.6877172 0.76073 10.6% 26.5 17s
H 8052 2180 0.6877172 0.75988 10.5% 26.3 17s
9301 2542 cutoff 49 0.68772 0.75643 10.0% 26.5 20s
12358 3393 0.69968 41 93 0.68772 0.75129 9.24% 25.9 25s
14213 3748 0.73596 55 95 0.68772 0.74845 8.83% 26.0 30s
17612 4535 cutoff 48 0.68772 0.74451 8.26% 25.8 35s
20822 5077 cutoff 47 0.68772 0.74157 7.83% 25.9 51s
21891 5191 0.69599 42 117 0.68772 0.74046 7.67% 26.3 55s
24168 5417 0.71691 37 100 0.68772 0.73822 7.34% 27.6 60s
26246 5582 cutoff 45 0.68772 0.73641 7.08% 28.7 65s
28027 5609 0.69588 46 118 0.68772 0.73434 6.78% 29.8 70s
29962 5664 cutoff 45 0.68772 0.73217 6.46% 30.7 75s
32129 5779 cutoff 49 0.68772 0.72972 6.11% 31.3 80s
34326 5933 0.70617 38 107 0.68772 0.72746 5.78% 31.8 85s
35884 6053 0.70551 42 95 0.68772 0.72600 5.57% 32.1 90s
37804 6127 0.69820 44 93 0.68772 0.72424 5.31% 32.3 95s
39809 6262 cutoff 34 0.68772 0.72279 5.10% 32.5 100s
42327 6335 cutoff 54 0.68772 0.72092 4.83% 32.7 105s
44243 6371 0.70666 56 113 0.68772 0.71927 4.59% 32.9 110s
46738 6428 0.70191 48 104 0.68772 0.71746 4.32% 33.0 115s
49056 6538 0.70862 48 110 0.68772 0.71614 4.13% 33.0 120s
51153 6538 0.70686 52 86 0.68772 0.71462 3.91% 32.9 125s
53116 6520 0.69765 66 75 0.68772 0.71347 3.75% 33.1 130s
55727 6605 0.69459 72 76 0.68772 0.71204 3.54% 32.9 135s
58305 6688 infeasible 39 0.68772 0.71079 3.35% 32.8 140s
60144 6665 cutoff 48 0.68772 0.70986 3.22% 32.8 145s
62147 6570 cutoff 58 0.68772 0.70884 3.07% 32.8 150s
64573 6489 0.70226 36 106 0.68772 0.70757 2.89% 32.8 155s
66835 6293 infeasible 41 0.68772 0.70644 2.72% 32.7 160s
68977 6103 infeasible 46 0.68772 0.70538 2.57% 32.7 165s
71388 5905 infeasible 38 0.68772 0.70405 2.37% 32.6 170s
73966 5687 0.69490 60 90 0.68772 0.70293 2.21% 32.4 175s
76356 5515 0.70167 63 94 0.68772 0.70167 2.03% 32.2 180s
79406 5304 0.69903 131 45 0.68772 0.70043 1.85% 31.9 185s
81993 5046 cutoff 99 0.68772 0.69942 1.70% 31.6 190s
84810 4624 cutoff 99 0.68772 0.69824 1.53% 31.3 195s
87637 4083 cutoff 138 0.68772 0.69676 1.31% 31.1 200s
89963 3571 infeasible 104 0.68772 0.69544 1.12% 30.8 205s
Cutting planes:
Gomory: 113
Cover: 3
Implied bound: 71
Projected implied bound: 50
Clique: 1
MIR: 20
Flow cover: 141
Inf proof: 361
Network: 1
Explored 91635 nodes (2803709 simplex iterations) in 207.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.687717 0.687717 0.687717
Optimal solution found (tolerance 1.00e-02)
Best objective 6.877172086085e-01, best bound 6.944070921083e-01, gap 0.9728%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp010qe_eh.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqtp2oeic.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.686914
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 9.772222e-01, 988 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97722 0 98 0.68691 0.97722 42.3% - 0s
0 0 0.91763 0 107 0.68691 0.91763 33.6% - 0s
0 0 0.91763 0 107 0.68691 0.91763 33.6% - 0s
0 0 0.90301 0 122 0.68691 0.90301 31.5% - 0s
0 0 0.90269 0 125 0.68691 0.90269 31.4% - 0s
0 0 0.89895 0 127 0.68691 0.89895 30.9% - 0s
0 0 0.89890 0 126 0.68691 0.89890 30.9% - 0s
0 0 0.89889 0 125 0.68691 0.89889 30.9% - 0s
0 0 0.89889 0 109 0.68691 0.89889 30.9% - 0s
0 2 0.89889 0 109 0.68691 0.89889 30.9% - 0s
1573 820 0.72622 45 108 0.68691 0.83145 21.0% 23.0 5s
3966 1447 cutoff 35 0.68691 0.79550 15.8% 26.2 10s
5796 1812 0.75911 31 118 0.68691 0.77739 13.2% 28.1 15s
9163 2753 0.69001 36 99 0.68691 0.76275 11.0% 26.7 20s
11957 3332 infeasible 48 0.68691 0.75445 9.83% 26.9 25s
H13074 3579 0.6869138 0.75190 9.46% 27.2 27s
14223 3750 infeasible 38 0.68691 0.75005 9.19% 27.4 31s
15631 3928 0.73846 47 88 0.68691 0.74763 8.84% 27.6 35s
17863 4140 cutoff 34 0.68691 0.74386 8.29% 28.1 40s
20555 4650 0.72037 65 109 0.68691 0.74145 7.94% 27.8 57s
20566 4657 0.69559 43 166 0.68691 0.74145 7.94% 27.8 61s
20575 4663 0.72398 44 173 0.68691 0.74145 7.94% 27.8 65s
20584 4669 0.73272 36 191 0.68691 0.74145 7.94% 27.8 70s
20591 4674 0.72227 28 194 0.68691 0.74145 7.94% 27.7 75s
20599 4679 0.70572 57 190 0.68691 0.74145 7.94% 27.7 80s
20605 4683 0.71260 57 186 0.68691 0.74145 7.94% 27.7 85s
20613 4689 0.72363 43 212 0.68691 0.74145 7.94% 27.7 90s
20621 4694 0.72929 43 216 0.68691 0.74145 7.94% 27.7 95s
20628 4699 0.71127 69 223 0.68691 0.74145 7.94% 27.7 100s
20635 4703 0.73422 51 220 0.68691 0.74145 7.94% 27.7 105s
20644 4709 0.69926 53 228 0.68691 0.74145 7.94% 27.7 110s
20650 4713 0.71032 48 229 0.68691 0.74145 7.94% 27.7 115s
20657 4718 0.70504 32 231 0.68691 0.74145 7.94% 27.7 120s
20664 4723 0.69336 41 216 0.68691 0.74145 7.94% 27.6 125s
20671 4727 0.72927 34 222 0.68691 0.74145 7.94% 27.6 130s
20679 4733 0.69984 53 215 0.68691 0.74145 7.94% 27.6 135s
H20679 4494 0.6869138 0.74145 7.94% 27.6 136s
20684 4497 0.73272 36 223 0.68691 0.74145 7.94% 27.6 140s
20690 4501 0.68725 64 220 0.68691 0.74145 7.94% 27.6 145s
20697 4506 0.73739 46 227 0.68691 0.74145 7.94% 27.6 150s
20704 4510 0.72608 45 218 0.68691 0.74145 7.94% 27.6 155s
20710 4514 0.73409 48 213 0.68691 0.74145 7.94% 27.6 160s
20717 4519 0.70614 44 215 0.68691 0.74145 7.94% 27.6 165s
20724 4524 0.73745 45 218 0.68691 0.74145 7.94% 27.6 170s
20730 4528 0.70714 53 223 0.68691 0.74145 7.94% 27.6 175s
20733 4533 0.74145 24 215 0.68691 0.74145 7.94% 28.9 181s
20735 4534 0.74145 25 227 0.68691 0.74145 7.94% 28.9 193s
20743 4535 0.74145 27 219 0.68691 0.74145 7.94% 29.0 195s
20960 4573 0.74145 41 171 0.68691 0.74145 7.94% 30.1 200s
21366 4641 0.74145 33 197 0.68691 0.74145 7.94% 31.9 205s
21743 4682 0.70984 43 156 0.68691 0.74145 7.94% 33.5 210s
22175 4708 0.74133 37 194 0.68691 0.74145 7.94% 35.2 215s
22599 4784 infeasible 46 0.68691 0.74145 7.94% 37.0 220s
22907 4771 0.72823 38 177 0.68691 0.74145 7.94% 38.8 225s
23389 4790 0.71528 46 153 0.68691 0.74145 7.94% 41.2 230s
23632 4775 0.71447 37 159 0.68691 0.74145 7.94% 42.5 235s
24128 4773 0.68963 52 146 0.68691 0.74145 7.94% 44.9 241s
24440 4770 0.70457 44 153 0.68691 0.74145 7.94% 46.1 245s
24833 4739 0.69354 46 155 0.68691 0.74145 7.94% 48.2 250s
25177 4703 0.72345 37 192 0.68691 0.74145 7.94% 50.1 257s
25575 4675 0.71244 41 154 0.68691 0.74058 7.81% 51.5 261s
25977 4629 0.69728 48 162 0.68691 0.73930 7.63% 53.0 267s
26400 4598 0.68848 41 180 0.68691 0.73850 7.51% 54.8 272s
26644 4559 0.71266 42 171 0.68691 0.73763 7.38% 55.7 275s
27109 4517 infeasible 41 0.68691 0.73659 7.23% 57.6 282s
27415 4518 cutoff 50 0.68691 0.73603 7.15% 58.5 285s
27750 4445 infeasible 40 0.68691 0.73553 7.08% 59.7 292s
28038 4423 cutoff 46 0.68691 0.73513 7.02% 60.8 300s
28331 4395 cutoff 39 0.68691 0.73477 6.97% 61.8 308s
28631 4348 infeasible 40 0.68691 0.73414 6.88% 62.9 312s
28943 4308 0.71523 46 157 0.68691 0.73384 6.83% 63.9 316s
29329 4246 cutoff 43 0.68691 0.73316 6.73% 64.8 320s
29732 4182 infeasible 44 0.68691 0.73243 6.63% 65.9 325s
30024 4113 0.69791 35 189 0.68691 0.73159 6.50% 67.3 330s
30740 4006 0.72662 41 177 0.68691 0.73059 6.36% 69.6 339s
31084 3936 cutoff 45 0.68691 0.72996 6.27% 70.7 344s
31428 3847 cutoff 58 0.68691 0.72924 6.16% 71.9 349s
31749 3751 0.70270 36 181 0.68691 0.72854 6.06% 73.2 354s
32141 3658 cutoff 42 0.68691 0.72803 5.99% 74.4 360s
32558 3605 infeasible 46 0.68691 0.72757 5.92% 75.5 365s
32914 3562 0.71765 37 198 0.68691 0.72712 5.85% 76.4 370s
33349 3509 0.70036 43 173 0.68691 0.72661 5.78% 77.3 375s
33780 3475 cutoff 46 0.68691 0.72611 5.71% 78.1 382s
H33862 3311 0.6869138 0.72606 5.70% 78.3 382s
33878 3272 0.68759 49 161 0.68691 0.72595 5.68% 78.3 389s
34327 3357 0.70817 48 160 0.68691 0.72548 5.61% 79.2 394s
34695 3387 cutoff 44 0.68691 0.72500 5.54% 80.3 400s
35214 3505 cutoff 41 0.68691 0.72450 5.47% 80.9 406s
35635 3552 cutoff 40 0.68691 0.72386 5.38% 81.9 411s
36049 3595 0.70512 48 167 0.68691 0.72341 5.31% 82.8 416s
36437 3621 0.69162 46 180 0.68691 0.72334 5.30% 83.8 422s
36959 3720 0.69360 44 174 0.68691 0.72265 5.20% 84.4 427s
37339 3745 cutoff 45 0.68691 0.72198 5.10% 85.3 432s
37782 3805 0.70147 39 180 0.68691 0.72124 5.00% 86.2 437s
38264 3882 cutoff 43 0.68691 0.72083 4.94% 86.8 443s
38709 3923 cutoff 49 0.68691 0.72015 4.84% 87.5 448s
39227 3987 0.70065 62 121 0.68691 0.71966 4.77% 88.1 453s
39672 4020 cutoff 63 0.68691 0.71928 4.71% 88.7 458s
40181 4068 cutoff 72 0.68691 0.71886 4.65% 89.2 463s
40625 4124 cutoff 37 0.68691 0.71832 4.57% 89.8 468s
41057 4144 0.69528 53 163 0.68691 0.71797 4.52% 90.3 473s
41434 4143 0.70563 38 185 0.68691 0.71736 4.43% 91.0 488s
41776 4134 0.71016 55 158 0.68691 0.71713 4.40% 91.5 493s
42177 4158 0.70691 41 171 0.68691 0.71660 4.32% 92.0 497s
42618 4169 0.70997 51 175 0.68691 0.71604 4.24% 92.6 503s
43134 4206 0.71052 52 144 0.68691 0.71559 4.17% 93.0 508s
43506 4209 0.68831 71 127 0.68691 0.71511 4.10% 93.6 513s
43909 4222 cutoff 45 0.68691 0.71461 4.03% 94.1 518s
44307 4227 cutoff 50 0.68691 0.71425 3.98% 94.7 523s
44906 4308 0.70785 76 110 0.68691 0.71390 3.93% 94.8 529s
45305 4284 cutoff 54 0.68691 0.71330 3.84% 95.3 534s
45689 4284 cutoff 49 0.68691 0.71281 3.77% 95.7 538s
46113 4277 0.70285 46 166 0.68691 0.71229 3.69% 96.2 543s
46472 4264 0.70581 64 124 0.68691 0.71200 3.65% 96.6 548s
46846 4226 0.69505 49 166 0.68691 0.71134 3.56% 97.1 553s
47274 4213 0.69892 41 174 0.68691 0.71098 3.50% 97.4 557s
47816 4223 0.69243 54 160 0.68691 0.71052 3.44% 97.6 562s
48270 4236 cutoff 46 0.68691 0.71010 3.38% 97.9 567s
48692 4228 0.70361 47 154 0.68691 0.70967 3.31% 98.1 572s
49147 4212 cutoff 66 0.68691 0.70931 3.26% 98.4 576s
49505 4193 0.69902 48 153 0.68691 0.70877 3.18% 98.7 580s
49800 4151 0.70685 60 144 0.68691 0.70826 3.11% 99.1 585s
50575 4108 0.69007 55 130 0.68691 0.70748 2.99% 100 593s
50955 4114 cutoff 46 0.68691 0.70707 2.93% 100 598s
51312 4115 cutoff 48 0.68691 0.70668 2.88% 100 600s
Cutting planes:
Gomory: 242
Cover: 10
Implied bound: 71
Projected implied bound: 52
MIR: 234
StrongCG: 3
Flow cover: 733
Inf proof: 130
Zero half: 1
Explored 51505 nodes (5155226 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.686914 0.686914 0.686914 0.686914
Time limit reached
Best objective 6.869137763083e-01, best bound 7.065207087278e-01, gap 2.8544%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgpykbjch.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps2rxma5y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [8e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.683808
Presolve removed 676 rows and 438 columns
Presolve time: 0.05s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 9.681636e-01, 960 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96816 0 104 0.68381 0.96816 41.6% - 0s
0 0 0.91432 0 105 0.68381 0.91432 33.7% - 0s
0 0 0.90007 0 124 0.68381 0.90007 31.6% - 0s
0 0 0.89975 0 128 0.68381 0.89975 31.6% - 0s
0 0 0.89610 0 129 0.68381 0.89610 31.0% - 0s
0 0 0.89607 0 127 0.68381 0.89607 31.0% - 0s
0 0 0.89605 0 124 0.68381 0.89605 31.0% - 0s
0 0 0.89603 0 129 0.68381 0.89603 31.0% - 0s
0 0 0.89481 0 132 0.68381 0.89481 30.9% - 0s
0 0 0.89480 0 132 0.68381 0.89480 30.9% - 0s
0 0 0.89480 0 134 0.68381 0.89480 30.9% - 0s
0 0 0.89462 0 130 0.68381 0.89462 30.8% - 0s
0 0 0.89462 0 118 0.68381 0.89462 30.8% - 0s
0 2 0.89462 0 118 0.68381 0.89462 30.8% - 0s
1347 684 cutoff 26 0.68381 0.84108 23.0% 24.3 5s
4439 1880 0.74425 30 114 0.68381 0.79130 15.7% 23.8 10s
H 5645 2154 0.6838076 0.78651 15.0% 25.8 14s
5799 2182 0.76571 27 122 0.68381 0.78633 15.0% 26.2 15s
7636 2556 infeasible 34 0.68381 0.77931 14.0% 28.3 20s
9806 2835 0.73071 33 88 0.68381 0.77257 13.0% 30.7 25s
11800 3184 cutoff 36 0.68381 0.76767 12.3% 31.3 30s
13954 3419 infeasible 31 0.68381 0.76310 11.6% 32.2 35s
15462 3597 0.73975 44 106 0.68381 0.75975 11.1% 32.6 40s
17418 3815 cutoff 37 0.68381 0.75608 10.6% 32.8 45s
19047 3964 0.73063 46 106 0.68381 0.75317 10.1% 33.0 50s
20709 4122 0.73739 36 103 0.68381 0.75031 9.73% 33.1 67s
21981 4220 0.73264 49 123 0.68381 0.74802 9.39% 33.7 70s
23908 4509 cutoff 30 0.68381 0.74455 8.88% 34.3 75s
25493 4558 cutoff 34 0.68381 0.74155 8.44% 35.1 80s
27533 4772 0.73332 44 124 0.68381 0.73819 7.95% 35.7 85s
29393 4945 0.71313 39 127 0.68381 0.73570 7.59% 35.9 90s
31321 5179 cutoff 48 0.68381 0.73303 7.20% 36.1 95s
33350 5379 cutoff 48 0.68381 0.73061 6.84% 36.0 100s
35309 5516 0.70653 51 108 0.68381 0.72825 6.50% 36.1 105s
37419 5814 0.69255 42 118 0.68381 0.72633 6.22% 35.8 110s
39305 5972 0.69045 24 126 0.68381 0.72445 5.94% 36.0 115s
41294 6201 0.69628 44 119 0.68381 0.72293 5.72% 36.0 120s
43411 6447 0.70362 54 100 0.68381 0.72144 5.50% 35.9 125s
45003 6693 0.69964 46 115 0.68381 0.72048 5.36% 35.8 130s
47133 7090 0.70003 46 103 0.68381 0.71930 5.19% 35.5 135s
49124 7285 0.70244 39 118 0.68381 0.71824 5.03% 35.5 140s
51202 7449 0.70641 54 122 0.68381 0.71712 4.87% 35.4 145s
53440 7615 0.70380 38 140 0.68381 0.71606 4.72% 35.3 150s
55401 7712 0.69086 53 95 0.68381 0.71513 4.58% 35.2 156s
56643 7684 cutoff 63 0.68381 0.71438 4.47% 35.2 160s
58758 7759 0.70677 56 126 0.68381 0.71343 4.33% 35.2 165s
60909 7875 infeasible 54 0.68381 0.71239 4.18% 35.0 171s
62688 7961 0.68971 45 127 0.68381 0.71153 4.05% 34.9 175s
64807 7993 0.69644 49 126 0.68381 0.71054 3.91% 34.8 180s
66899 7947 cutoff 36 0.68381 0.70961 3.77% 34.8 185s
69140 7984 cutoff 53 0.68381 0.70868 3.64% 34.6 190s
71170 7999 0.69334 43 121 0.68381 0.70777 3.50% 34.6 195s
73295 8023 infeasible 51 0.68381 0.70684 3.37% 34.5 200s
75378 7989 cutoff 41 0.68381 0.70604 3.25% 34.4 205s
77559 7973 0.69510 47 112 0.68381 0.70522 3.13% 34.3 210s
80159 7933 cutoff 76 0.68381 0.70427 2.99% 34.2 215s
82237 7925 cutoff 53 0.68381 0.70349 2.88% 34.1 220s
83831 7891 cutoff 88 0.68381 0.70281 2.78% 34.0 225s
H83840 7891 0.6838076 0.70280 2.78% 34.0 225s
85994 7882 cutoff 54 0.68381 0.70228 2.70% 33.8 230s
88588 7860 cutoff 44 0.68381 0.70128 2.55% 33.6 235s
89882 7798 0.69273 84 79 0.68381 0.70076 2.48% 33.6 240s
92422 7746 0.69324 77 79 0.68381 0.69999 2.37% 33.4 245s
95196 7840 0.68852 49 102 0.68381 0.69917 2.25% 33.1 250s
97070 7892 0.69712 73 98 0.68381 0.69865 2.17% 32.9 255s
99765 7900 0.69790 84 76 0.68381 0.69794 2.07% 32.6 260s
102144 7817 0.69287 54 98 0.68381 0.69726 1.97% 32.4 265s
104823 7670 0.68736 42 113 0.68381 0.69648 1.85% 32.2 270s
107172 7640 0.69221 105 75 0.68381 0.69584 1.76% 32.0 275s
110041 7531 cutoff 36 0.68381 0.69516 1.66% 31.7 280s
112414 7251 infeasible 86 0.68381 0.69451 1.57% 31.5 285s
115000 7061 infeasible 98 0.68381 0.69385 1.47% 31.3 290s
117430 7003 0.69337 98 50 0.68381 0.69337 1.40% 31.1 295s
120276 6984 cutoff 56 0.68381 0.69270 1.30% 30.8 300s
122805 6862 0.69186 113 51 0.68381 0.69219 1.23% 30.6 305s
125678 6558 0.69100 88 53 0.68381 0.69145 1.12% 30.4 310s
128831 6299 0.69007 98 44 0.68381 0.69078 1.02% 30.1 315s
Cutting planes:
Gomory: 147
Cover: 4
Implied bound: 77
Projected implied bound: 40
MIR: 46
Flow cover: 168
Inf proof: 460
Explored 129688 nodes (3892779 simplex iterations) in 316.85 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.683808 0.683808 0.683808
Optimal solution found (tolerance 1.00e-02)
Best objective 6.838075696972e-01, best bound 6.905783774554e-01, gap 0.9902%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpe21rcahk.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5k59_pod.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.680179
Presolve removed 690 rows and 447 columns
Presolve time: 0.05s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.568603e-01, 1057 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.95686 0 114 0.68018 0.95686 40.7% - 0s
0 0 0.91003 0 96 0.68018 0.91003 33.8% - 0s
0 0 0.89526 0 120 0.68018 0.89526 31.6% - 0s
0 0 0.89498 0 120 0.68018 0.89498 31.6% - 0s
0 0 0.89128 0 125 0.68018 0.89128 31.0% - 0s
0 0 0.89128 0 123 0.68018 0.89128 31.0% - 0s
0 0 0.89125 0 121 0.68018 0.89125 31.0% - 0s
0 0 0.89124 0 123 0.68018 0.89124 31.0% - 0s
0 0 0.89124 0 123 0.68018 0.89124 31.0% - 0s
0 0 0.89124 0 119 0.68018 0.89124 31.0% - 0s
0 2 0.89124 0 119 0.68018 0.89124 31.0% - 0s
1209 681 0.75973 26 122 0.68018 0.84009 23.5% 27.3 5s
H 2664 901 0.6801785 0.79904 17.5% 31.3 8s
3089 1107 cutoff 41 0.68018 0.79528 16.9% 31.3 10s
4853 1865 0.73528 30 113 0.68018 0.78734 15.8% 31.7 15s
7135 2501 infeasible 25 0.68018 0.78013 14.7% 33.5 20s
9095 2992 0.71701 39 105 0.68018 0.77350 13.7% 35.1 25s
11373 3543 0.70476 39 102 0.68018 0.76729 12.8% 35.3 30s
13209 3961 0.68035 40 85 0.68018 0.76347 12.2% 35.6 35s
15568 4540 0.72400 38 118 0.68018 0.75963 11.7% 35.7 41s
17093 4904 cutoff 36 0.68018 0.75731 11.3% 35.8 45s
19260 5357 0.69564 49 102 0.68018 0.75444 10.9% 35.6 50s
20795 5666 0.71880 44 103 0.68018 0.75224 10.6% 35.9 66s
22302 5944 infeasible 38 0.68018 0.75051 10.3% 36.6 70s
23759 6111 0.71291 40 137 0.68018 0.74864 10.1% 37.7 75s
25233 6301 0.71733 42 127 0.68018 0.74641 9.74% 38.5 80s
26820 6555 0.72009 38 126 0.68018 0.74474 9.49% 39.3 85s
28337 6707 infeasible 49 0.68018 0.74287 9.22% 40.2 92s
28901 6746 cutoff 47 0.68018 0.74216 9.11% 40.6 95s
30156 6843 0.70196 55 109 0.68018 0.74068 8.90% 41.4 100s
31349 6940 0.68513 51 104 0.68018 0.73925 8.68% 42.3 105s
32718 7043 cutoff 39 0.68018 0.73786 8.48% 42.9 110s
34006 7142 cutoff 46 0.68018 0.73641 8.27% 43.8 115s
35383 7209 infeasible 36 0.68018 0.73481 8.03% 44.4 120s
36804 7309 0.70076 36 118 0.68018 0.73349 7.84% 45.0 125s
38364 7463 0.73064 42 115 0.68018 0.73203 7.62% 45.4 130s
39930 7605 cutoff 46 0.68018 0.73055 7.40% 45.7 135s
41503 7758 0.69886 33 140 0.68018 0.72911 7.19% 46.0 140s
43050 7831 0.69288 46 128 0.68018 0.72775 6.99% 46.4 146s
44193 7914 cutoff 44 0.68018 0.72673 6.84% 46.7 150s
45868 7998 cutoff 45 0.68018 0.72524 6.62% 46.9 155s
47530 8118 0.71002 42 119 0.68018 0.72409 6.46% 47.1 161s
48754 8140 infeasible 42 0.68018 0.72317 6.32% 47.2 165s
50407 8234 cutoff 39 0.68018 0.72187 6.13% 47.3 170s
51313 8248 0.68333 46 127 0.68018 0.72120 6.03% 47.5 175s
52516 8246 0.70417 35 122 0.68018 0.72010 5.87% 47.7 180s
54300 8317 cutoff 59 0.68018 0.71888 5.69% 47.8 185s
56032 8414 0.69193 42 131 0.68018 0.71780 5.53% 47.9 190s
57683 8404 0.70004 50 122 0.68018 0.71661 5.36% 48.0 196s
58885 8418 0.69953 42 112 0.68018 0.71590 5.25% 48.1 200s
60431 8476 cutoff 62 0.68018 0.71491 5.11% 48.1 205s
62060 8544 0.70206 57 119 0.68018 0.71398 4.97% 48.2 210s
63818 8624 0.70656 57 101 0.68018 0.71301 4.83% 48.1 215s
65490 8574 infeasible 42 0.68018 0.71207 4.69% 48.2 221s
66848 8600 cutoff 41 0.68018 0.71139 4.59% 48.1 225s
68455 8692 infeasible 43 0.68018 0.71069 4.49% 48.0 231s
69795 8765 infeasible 41 0.68018 0.71017 4.41% 47.9 235s
71545 8803 0.69703 48 137 0.68018 0.70932 4.28% 47.8 240s
73369 8881 0.68735 51 123 0.68018 0.70852 4.17% 47.7 245s
74995 8888 0.69804 74 84 0.68018 0.70775 4.05% 47.6 250s
76788 8991 0.69425 38 152 0.68018 0.70692 3.93% 47.4 255s
77675 9003 infeasible 45 0.68018 0.70647 3.87% 47.4 260s
79319 9003 cutoff 53 0.68018 0.70572 3.76% 47.2 265s
80909 8948 cutoff 46 0.68018 0.70497 3.64% 47.2 270s
82973 8915 0.70329 65 108 0.68018 0.70394 3.49% 47.0 275s
84750 8898 0.69388 56 114 0.68018 0.70322 3.39% 46.9 280s
86534 8897 cutoff 43 0.68018 0.70250 3.28% 46.7 285s
88150 8802 cutoff 33 0.68018 0.70180 3.18% 46.6 290s
90482 8966 cutoff 48 0.68018 0.70110 3.08% 46.2 295s
92427 9052 0.69745 92 62 0.68018 0.70049 2.99% 45.9 300s
94539 9013 0.69118 44 117 0.68018 0.69968 2.87% 45.7 305s
96481 9109 0.69871 56 110 0.68018 0.69918 2.79% 45.4 310s
98911 9324 cutoff 41 0.68018 0.69854 2.70% 45.0 315s
101233 9457 infeasible 45 0.68018 0.69802 2.62% 44.6 320s
103383 9503 infeasible 40 0.68018 0.69743 2.54% 44.3 325s
105691 9660 cutoff 93 0.68018 0.69681 2.45% 43.9 330s
108500 9997 0.69335 95 58 0.68018 0.69626 2.36% 43.4 335s
110137 10176 cutoff 42 0.68018 0.69601 2.33% 43.2 340s
112426 10350 cutoff 48 0.68018 0.69551 2.25% 42.8 345s
114660 10505 infeasible 73 0.68018 0.69506 2.19% 42.4 350s
117446 10811 0.69393 103 50 0.68018 0.69455 2.11% 42.0 355s
120793 11098 0.69387 103 43 0.68018 0.69401 2.03% 41.4 360s
123640 11308 infeasible 103 0.68018 0.69363 1.98% 40.9 365s
126304 11484 cutoff 56 0.68018 0.69330 1.93% 40.5 370s
129426 11587 cutoff 57 0.68018 0.69288 1.87% 40.1 375s
130073 11708 cutoff 59 0.68018 0.69281 1.86% 40.0 380s
132778 11859 0.68858 88 80 0.68018 0.69256 1.82% 39.6 385s
135665 12130 cutoff 107 0.68018 0.69229 1.78% 39.2 390s
139395 12395 infeasible 106 0.68018 0.69197 1.73% 38.6 395s
142221 12583 cutoff 56 0.68018 0.69172 1.70% 38.2 400s
145403 12582 0.69078 109 39 0.68018 0.69139 1.65% 37.9 405s
148761 12817 cutoff 108 0.68018 0.69110 1.61% 37.5 410s
152031 12870 infeasible 106 0.68018 0.69079 1.56% 37.1 415s
155234 12925 cutoff 107 0.68018 0.69046 1.51% 36.7 420s
158489 13026 0.68697 114 44 0.68018 0.69018 1.47% 36.3 425s
161760 13103 cutoff 48 0.68018 0.68995 1.44% 36.0 430s
164734 13065 0.68558 109 48 0.68018 0.68963 1.39% 35.7 435s
168081 13124 0.68907 120 51 0.68018 0.68934 1.35% 35.4 440s
171097 13121 0.68552 51 130 0.68018 0.68906 1.31% 35.1 445s
174236 13084 cutoff 116 0.68018 0.68880 1.27% 34.8 450s
177228 13017 cutoff 71 0.68018 0.68850 1.22% 34.5 455s
180066 12847 cutoff 110 0.68018 0.68824 1.18% 34.2 460s
183686 12902 0.68783 100 50 0.68018 0.68795 1.14% 33.9 465s
185935 12842 0.68756 103 57 0.68018 0.68779 1.12% 33.7 470s
189164 12672 0.68417 87 75 0.68018 0.68751 1.08% 33.4 475s
191286 12508 cutoff 90 0.68018 0.68732 1.05% 33.3 480s
194250 12455 cutoff 111 0.68018 0.68706 1.01% 33.0 485s
Cutting planes:
Gomory: 157
Implied bound: 95
Projected implied bound: 53
MIR: 35
Flow cover: 171
Inf proof: 524
Explored 195341 nodes (6435981 simplex iterations) in 486.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.680179 0.680179
Optimal solution found (tolerance 1.00e-02)
Best objective 6.801785071439e-01, best bound 6.869540131188e-01, gap 0.9961%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpdmdp784t.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu9s86j3w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.676856
Presolve removed 704 rows and 456 columns
Presolve time: 0.04s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 9.474749e-01, 1114 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94747 0 109 0.67686 0.94747 40.0% - 0s
0 0 0.90660 0 106 0.67686 0.90660 33.9% - 0s
0 0 0.90660 0 106 0.67686 0.90660 33.9% - 0s
0 0 0.90168 0 120 0.67686 0.90168 33.2% - 0s
0 0 0.90092 0 120 0.67686 0.90092 33.1% - 0s
0 0 0.89761 0 120 0.67686 0.89761 32.6% - 0s
0 0 0.89754 0 124 0.67686 0.89754 32.6% - 0s
0 0 0.89721 0 127 0.67686 0.89721 32.6% - 0s
0 0 0.89721 0 127 0.67686 0.89721 32.6% - 0s
0 0 0.89686 0 127 0.67686 0.89686 32.5% - 0s
0 0 0.89686 0 113 0.67686 0.89686 32.5% - 0s
0 2 0.89686 0 113 0.67686 0.89686 32.5% - 0s
1091 654 0.70263 63 91 0.67686 0.83354 23.1% 24.8 5s
3125 1201 0.74890 31 101 0.67686 0.79249 17.1% 26.9 10s
4353 1479 0.73719 30 127 0.67686 0.78203 15.5% 30.9 15s
6310 1977 cutoff 36 0.67686 0.77211 14.1% 32.6 20s
8095 2548 infeasible 39 0.67686 0.76460 13.0% 32.9 25s
9501 2983 infeasible 46 0.67686 0.75984 12.3% 32.5 30s
11649 3583 0.67931 56 97 0.67686 0.75327 11.3% 31.9 35s
H13048 3976 0.6768561 0.75042 10.9% 31.7 38s
13483 4042 0.71615 36 113 0.67686 0.74962 10.8% 31.7 40s
15431 4412 0.70703 30 127 0.67686 0.74537 10.1% 31.8 45s
17449 4827 0.70984 41 117 0.67686 0.74293 9.76% 31.8 50s
19424 5157 cutoff 42 0.67686 0.74079 9.45% 32.1 55s
20717 5408 0.72240 43 125 0.67686 0.73942 9.24% 32.0 71s
21352 5471 0.70393 42 137 0.67686 0.73851 9.11% 32.4 75s
22601 5619 0.71048 36 143 0.67686 0.73710 8.90% 33.5 80s
23912 5816 infeasible 48 0.67686 0.73571 8.69% 34.5 85s
25355 6038 0.70133 56 116 0.67686 0.73425 8.48% 35.2 90s
26836 6230 0.70241 29 142 0.67686 0.73298 8.29% 36.1 95s
28026 6356 cutoff 69 0.67686 0.73157 8.08% 36.7 100s
29015 6472 0.70864 39 130 0.67686 0.73074 7.96% 37.1 105s
30615 6623 0.68385 48 137 0.67686 0.72916 7.73% 37.8 111s
31509 6713 0.70637 32 139 0.67686 0.72818 7.58% 38.3 115s
32833 6865 cutoff 44 0.67686 0.72689 7.39% 38.9 120s
34339 7104 0.69924 41 127 0.67686 0.72561 7.20% 39.1 125s
35827 7312 0.70503 43 145 0.67686 0.72450 7.04% 39.4 130s
36935 7443 0.69246 48 136 0.67686 0.72373 6.93% 39.6 135s
38449 7506 cutoff 43 0.67686 0.72244 6.73% 39.9 140s
39852 7555 0.68588 52 123 0.67686 0.72144 6.59% 40.3 145s
41389 7713 cutoff 43 0.67686 0.72041 6.43% 40.5 151s
42588 7821 infeasible 46 0.67686 0.71972 6.33% 40.6 155s
44099 7890 0.70916 67 103 0.67686 0.71838 6.13% 40.9 160s
45259 7959 cutoff 42 0.67686 0.71751 6.01% 41.1 165s
46970 8102 0.69240 48 135 0.67686 0.71653 5.86% 41.2 170s
48192 8170 0.67967 41 137 0.67686 0.71581 5.75% 41.2 175s
49838 8366 0.69849 46 134 0.67686 0.71489 5.62% 41.3 180s
51104 8465 cutoff 47 0.67686 0.71399 5.49% 41.3 185s
51935 8551 cutoff 40 0.67686 0.71349 5.41% 41.4 190s
H51940 8551 0.6768561 0.71349 5.41% 41.4 190s
53182 8550 cutoff 51 0.67686 0.71281 5.31% 41.5 195s
54477 8631 0.69541 39 125 0.67686 0.71218 5.22% 41.5 200s
56142 8753 cutoff 49 0.67686 0.71122 5.08% 41.5 205s
57138 8912 infeasible 42 0.67686 0.71083 5.02% 41.4 211s
58448 9038 cutoff 50 0.67686 0.71023 4.93% 41.3 215s
60150 9093 cutoff 44 0.67686 0.70956 4.83% 41.3 220s
61498 9216 cutoff 51 0.67686 0.70893 4.74% 41.3 225s
63113 9268 cutoff 41 0.67686 0.70810 4.62% 41.3 231s
64371 9336 0.70235 47 136 0.67686 0.70761 4.54% 41.3 235s
66087 9370 0.68835 62 103 0.67686 0.70683 4.43% 41.3 240s
67794 9433 0.69848 43 149 0.67686 0.70618 4.33% 41.2 246s
69133 9501 0.68844 50 125 0.67686 0.70572 4.26% 41.2 250s
70969 9531 0.69209 55 108 0.67686 0.70483 4.13% 41.3 255s
72798 9547 infeasible 61 0.67686 0.70436 4.06% 41.3 260s
74633 9655 0.68744 50 143 0.67686 0.70351 3.94% 41.3 266s
75884 9668 infeasible 55 0.67686 0.70306 3.87% 41.4 270s
77586 9679 0.69297 47 123 0.67686 0.70244 3.78% 41.5 275s
79246 9712 0.68407 79 93 0.67686 0.70181 3.69% 41.5 280s
81105 9870 cutoff 53 0.67686 0.70121 3.60% 41.4 285s
82883 9891 cutoff 56 0.67686 0.70066 3.52% 41.4 290s
84413 9864 cutoff 47 0.67686 0.70008 3.43% 41.4 295s
86163 9888 0.68143 73 102 0.67686 0.69949 3.34% 41.4 300s
87839 9796 0.69529 65 97 0.67686 0.69894 3.26% 41.4 305s
89769 9673 cutoff 47 0.67686 0.69815 3.15% 41.4 310s
91356 9558 0.68198 51 101 0.67686 0.69753 3.05% 41.5 315s
93151 9621 cutoff 52 0.67686 0.69700 2.98% 41.4 320s
95046 9474 0.68456 51 116 0.67686 0.69630 2.87% 41.4 325s
96601 9499 infeasible 46 0.67686 0.69578 2.80% 41.4 330s
98541 9397 cutoff 87 0.67686 0.69512 2.70% 41.4 336s
100289 9464 0.68839 51 123 0.67686 0.69461 2.62% 41.3 340s
102334 9432 cutoff 58 0.67686 0.69392 2.52% 41.1 345s
103355 9570 0.69250 69 108 0.67686 0.69364 2.48% 41.0 350s
105295 9522 cutoff 105 0.67686 0.69307 2.39% 40.9 356s
106956 9513 0.69177 94 70 0.67686 0.69267 2.34% 40.9 360s
108971 9549 cutoff 72 0.67686 0.69205 2.24% 40.7 365s
111192 9696 cutoff 82 0.67686 0.69150 2.16% 40.5 370s
113781 10027 0.69104 102 62 0.67686 0.69108 2.10% 40.1 376s
115718 10137 0.68429 113 42 0.67686 0.69074 2.05% 39.9 380s
118035 10217 0.68986 99 73 0.67686 0.69024 1.98% 39.6 385s
120412 10399 0.68066 131 52 0.67686 0.68984 1.92% 39.3 390s
123065 10255 infeasible 49 0.67686 0.68926 1.83% 39.1 395s
125258 10070 infeasible 49 0.67686 0.68868 1.75% 38.9 400s
127709 10038 cutoff 94 0.67686 0.68823 1.68% 38.6 405s
129362 9897 0.68253 37 151 0.67686 0.68784 1.62% 38.5 410s
131657 9776 0.68634 81 77 0.67686 0.68748 1.57% 38.2 415s
134432 9633 0.68702 95 63 0.67686 0.68702 1.50% 38.0 420s
136837 9214 cutoff 101 0.67686 0.68645 1.42% 37.8 425s
139275 8915 infeasible 98 0.67686 0.68598 1.35% 37.6 430s
140884 8649 cutoff 121 0.67686 0.68563 1.30% 37.4 435s
143172 8191 infeasible 120 0.67686 0.68507 1.21% 37.2 440s
145658 7925 cutoff 55 0.67686 0.68459 1.14% 37.0 445s
147908 7678 0.68285 111 56 0.67686 0.68415 1.08% 36.8 450s
Cutting planes:
Gomory: 140
Cover: 5
Implied bound: 69
Projected implied bound: 42
MIR: 35
Flow cover: 155
GUB cover: 1
Inf proof: 480
Explored 150236 nodes (5495274 simplex iterations) in 454.49 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.676856 0.676856 0.676856
Optimal solution found (tolerance 1.00e-02)
Best objective 6.768560566927e-01, best bound 6.836203598478e-01, gap 0.9994%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkm11k4as.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm9cg9oc4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.67538
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.383037e-01, 1177 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93830 0 114 0.67538 0.93830 38.9% - 0s
0 0 0.90080 0 100 0.67538 0.90080 33.4% - 0s
0 0 0.89675 0 111 0.67538 0.89675 32.8% - 0s
0 0 0.89637 0 117 0.67538 0.89637 32.7% - 0s
0 0 0.89342 0 122 0.67538 0.89342 32.3% - 0s
0 0 0.89337 0 121 0.67538 0.89337 32.3% - 0s
0 0 0.89297 0 123 0.67538 0.89297 32.2% - 0s
0 0 0.89297 0 123 0.67538 0.89297 32.2% - 0s
0 0 0.89254 0 123 0.67538 0.89254 32.2% - 0s
0 0 0.89254 0 123 0.67538 0.89254 32.2% - 0s
0 0 0.89254 0 123 0.67538 0.89254 32.2% - 0s
0 0 0.89254 0 114 0.67538 0.89254 32.2% - 0s
0 2 0.89254 0 114 0.67538 0.89254 32.2% - 0s
985 588 infeasible 42 0.67538 0.83516 23.7% 29.9 5s
2558 923 0.73746 40 113 0.67538 0.79812 18.2% 32.4 10s
4820 1764 0.68270 38 117 0.67538 0.77671 15.0% 33.2 15s
6524 2269 0.73676 28 124 0.67538 0.76701 13.6% 33.4 20s
8814 2707 cutoff 41 0.67538 0.75810 12.2% 33.7 25s
10348 3034 cutoff 34 0.67538 0.75400 11.6% 33.9 30s
12155 3323 0.70458 38 131 0.67538 0.74916 10.9% 34.6 35s
14054 3768 infeasible 32 0.67538 0.74465 10.3% 34.7 40s
15971 4217 cutoff 33 0.67538 0.74115 9.74% 34.9 45s
18202 4758 0.69576 47 103 0.67538 0.73790 9.26% 34.5 50s
20759 5352 0.71007 36 129 0.67538 0.73476 8.79% 34.3 67s
21846 5590 0.72435 41 132 0.67538 0.73352 8.61% 34.4 70s
23392 5893 cutoff 30 0.67538 0.73185 8.36% 35.1 75s
25156 6171 0.71165 44 129 0.67538 0.72970 8.04% 36.0 80s
26721 6347 cutoff 31 0.67538 0.72777 7.76% 36.9 85s
28350 6606 0.71161 36 151 0.67538 0.72602 7.50% 37.6 90s
30076 6825 0.68046 40 129 0.67538 0.72417 7.22% 38.2 95s
31420 7011 0.71093 39 132 0.67538 0.72293 7.04% 38.6 100s
33278 7188 cutoff 53 0.67538 0.72144 6.82% 39.1 105s
34699 7363 infeasible 43 0.67538 0.72028 6.65% 39.4 110s
35906 7544 0.68537 41 146 0.67538 0.71970 6.56% 39.5 115s
37316 7704 0.67922 50 115 0.67538 0.71863 6.40% 39.8 120s
38767 7860 0.68960 38 127 0.67538 0.71773 6.27% 40.1 125s
40412 8071 0.68891 56 117 0.67538 0.71671 6.12% 40.3 130s
42114 8359 0.68337 38 156 0.67538 0.71581 5.99% 40.4 135s
43683 8567 0.69519 61 104 0.67538 0.71509 5.88% 40.5 141s
45358 8877 0.69388 84 61 0.67538 0.71430 5.76% 40.5 145s
46985 9089 infeasible 46 0.67538 0.71346 5.64% 40.6 150s
48680 9347 0.69885 36 137 0.67538 0.71276 5.53% 40.6 155s
50258 9528 0.69991 51 134 0.67538 0.71206 5.43% 40.7 160s
51939 9741 0.70526 50 127 0.67538 0.71147 5.34% 40.7 165s
53623 9964 cutoff 44 0.67538 0.71095 5.27% 40.7 170s
55285 10204 0.69494 38 134 0.67538 0.71020 5.16% 40.8 175s
56892 10331 0.68310 30 144 0.67538 0.70959 5.07% 40.9 180s
58498 10400 cutoff 44 0.67538 0.70887 4.96% 41.1 185s
60105 10507 infeasible 43 0.67538 0.70832 4.88% 41.3 190s
61712 10691 0.70411 43 144 0.67538 0.70775 4.79% 41.3 195s
62875 10765 0.70204 37 148 0.67538 0.70736 4.74% 41.4 201s
63532 10743 0.69824 62 104 0.67538 0.70721 4.71% 41.4 205s
65191 10798 0.69248 48 137 0.67538 0.70655 4.62% 41.5 210s
66859 10923 0.68426 80 76 0.67538 0.70600 4.53% 41.5 215s
68589 11069 cutoff 58 0.67538 0.70551 4.46% 41.6 220s
70480 11218 0.69016 50 129 0.67538 0.70497 4.38% 41.6 225s
72269 11415 cutoff 41 0.67538 0.70442 4.30% 41.5 231s
74061 11562 0.68624 45 124 0.67538 0.70400 4.24% 41.5 236s
75753 11696 cutoff 64 0.67538 0.70355 4.17% 41.5 240s
77508 11821 0.69617 47 143 0.67538 0.70302 4.09% 41.5 245s
79240 11945 0.70248 44 155 0.67538 0.70255 4.02% 41.5 250s
81037 12157 0.69920 57 106 0.67538 0.70209 3.95% 41.4 255s
82783 12253 0.67811 42 151 0.67538 0.70163 3.89% 41.4 260s
84658 12484 cutoff 47 0.67538 0.70115 3.82% 41.3 266s
86817 12777 cutoff 44 0.67538 0.70066 3.74% 41.0 270s
88615 13041 cutoff 61 0.67538 0.70026 3.68% 40.9 275s
91076 13386 0.68488 87 90 0.67538 0.69977 3.61% 40.6 281s
92715 13502 0.68253 54 126 0.67538 0.69933 3.55% 40.6 285s
94504 13741 0.67554 73 75 0.67538 0.69901 3.50% 40.5 290s
95606 13757 cutoff 30 0.67538 0.69875 3.46% 40.5 295s
97421 13880 cutoff 42 0.67538 0.69831 3.40% 40.4 300s
99546 14046 cutoff 56 0.67538 0.69776 3.31% 40.3 305s
101380 14214 0.68984 56 128 0.67538 0.69739 3.26% 40.2 310s
103434 14391 0.68209 39 127 0.67538 0.69685 3.18% 40.1 315s
105212 14517 0.68669 52 114 0.67538 0.69651 3.13% 40.0 320s
107420 14607 0.69440 60 109 0.67538 0.69606 3.06% 39.9 325s
109104 14729 cutoff 55 0.67538 0.69571 3.01% 39.9 330s
110948 14801 0.67948 37 155 0.67538 0.69536 2.96% 39.8 335s
112564 14924 0.69262 52 121 0.67538 0.69507 2.92% 39.6 340s
114436 15032 0.69346 58 110 0.67538 0.69482 2.88% 39.5 345s
116651 15100 0.68313 45 142 0.67538 0.69435 2.81% 39.4 350s
118514 15189 0.68511 68 79 0.67538 0.69404 2.76% 39.3 355s
120707 15208 cutoff 36 0.67538 0.69365 2.71% 39.2 360s
122510 15254 cutoff 49 0.67538 0.69335 2.66% 39.0 365s
124727 15285 0.67922 48 121 0.67538 0.69296 2.60% 38.9 370s
126810 15361 0.68020 68 94 0.67538 0.69262 2.55% 38.8 375s
128920 15338 0.67541 58 109 0.67538 0.69227 2.50% 38.7 380s
130670 15381 0.67872 55 126 0.67538 0.69204 2.47% 38.6 386s
132471 15376 0.68575 45 129 0.67538 0.69178 2.43% 38.5 390s
134762 15325 cutoff 61 0.67538 0.69143 2.38% 38.4 395s
136314 15300 cutoff 59 0.67538 0.69120 2.34% 38.3 402s
137116 15198 0.68649 59 122 0.67538 0.69108 2.32% 38.3 405s
139177 15131 0.67950 49 121 0.67538 0.69074 2.27% 38.2 410s
141215 15040 0.68947 63 98 0.67538 0.69040 2.22% 38.2 415s
142788 14983 cutoff 41 0.67538 0.69012 2.18% 38.1 420s
144792 14861 0.68973 67 91 0.67538 0.68981 2.14% 38.1 425s
146803 14734 infeasible 82 0.67538 0.68951 2.09% 38.0 430s
148750 14587 0.68450 52 125 0.67538 0.68922 2.05% 37.9 435s
150448 14478 0.68863 67 88 0.67538 0.68898 2.01% 37.9 440s
152385 14318 0.68013 44 121 0.67538 0.68872 1.98% 37.8 445s
153547 14153 cutoff 72 0.67538 0.68848 1.94% 37.8 450s
155561 13988 cutoff 85 0.67538 0.68817 1.89% 37.7 455s
157291 13813 infeasible 57 0.67538 0.68787 1.85% 37.7 460s
159647 13698 cutoff 54 0.67538 0.68752 1.80% 37.6 465s
161390 13457 infeasible 58 0.67538 0.68722 1.75% 37.5 470s
163217 13290 cutoff 56 0.67538 0.68690 1.71% 37.4 475s
165207 13032 0.68652 49 117 0.67538 0.68653 1.65% 37.4 480s
167006 12878 cutoff 63 0.67538 0.68624 1.61% 37.3 485s
168696 12734 0.68573 90 75 0.67538 0.68598 1.57% 37.3 490s
170991 12638 0.67744 111 71 0.67538 0.68565 1.52% 37.1 495s
172800 12484 cutoff 77 0.67538 0.68536 1.48% 37.0 500s
173913 12421 0.67994 47 144 0.67538 0.68521 1.46% 37.0 505s
175889 12169 0.68459 125 53 0.67538 0.68492 1.41% 36.9 510s
177877 11923 infeasible 42 0.67538 0.68460 1.36% 36.8 515s
179523 11546 cutoff 66 0.67538 0.68428 1.32% 36.7 520s
181632 11209 0.68331 104 82 0.67538 0.68390 1.26% 36.7 525s
183799 10749 cutoff 59 0.67538 0.68349 1.20% 36.6 530s
185934 10328 cutoff 107 0.67538 0.68308 1.14% 36.5 535s
187812 9946 cutoff 92 0.67538 0.68274 1.09% 36.4 540s
189994 9627 0.68239 96 65 0.67538 0.68239 1.04% 36.3 545s
Cutting planes:
Gomory: 121
Cover: 6
Implied bound: 85
Projected implied bound: 54
MIR: 41
Flow cover: 179
Inf proof: 553
Explored 191604 nodes (6943067 simplex iterations) in 548.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.67538
Optimal solution found (tolerance 1.00e-02)
Best objective 6.753800510430e-01, best bound 6.820976527227e-01, gap 0.9946%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6_yyetui.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmps9na2zgg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.66695
Presolve removed 732 rows and 474 columns
Presolve time: 0.05s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.231197e-01, 1102 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92312 0 113 0.66695 0.92312 38.4% - 0s
0 0 0.88791 0 119 0.66695 0.88791 33.1% - 0s
0 0 0.88791 0 119 0.66695 0.88791 33.1% - 0s
0 0 0.88419 0 123 0.66695 0.88419 32.6% - 0s
0 0 0.88403 0 123 0.66695 0.88403 32.5% - 0s
0 0 0.88044 0 126 0.66695 0.88044 32.0% - 0s
0 0 0.88044 0 126 0.66695 0.88044 32.0% - 0s
0 0 0.87971 0 133 0.66695 0.87971 31.9% - 0s
0 0 0.87967 0 128 0.66695 0.87967 31.9% - 0s
0 0 0.87898 0 129 0.66695 0.87898 31.8% - 0s
0 0 0.87898 0 129 0.66695 0.87898 31.8% - 0s
0 0 0.87890 0 130 0.66695 0.87890 31.8% - 0s
0 0 0.87890 0 129 0.66695 0.87890 31.8% - 0s
0 0 0.87890 0 120 0.66695 0.87890 31.8% - 0s
0 2 0.87890 0 120 0.66695 0.87890 31.8% - 0s
800 530 0.82998 15 122 0.66695 0.82998 24.4% 27.1 5s
2475 890 0.72783 23 133 0.66695 0.79682 19.5% 35.6 10s
3920 1296 0.75203 31 111 0.66695 0.78090 17.1% 40.6 15s
5628 1919 cutoff 28 0.66695 0.77087 15.6% 39.6 20s
7756 2499 infeasible 24 0.66695 0.75752 13.6% 39.4 25s
H 9577 2914 0.6669496 0.74922 12.3% 38.7 29s
9578 2880 cutoff 27 0.66695 0.74892 12.3% 38.8 30s
11916 3703 0.68462 53 121 0.66695 0.74302 11.4% 37.2 35s
14458 4456 cutoff 33 0.66695 0.73868 10.8% 36.2 40s
16712 5114 0.70288 25 128 0.66695 0.73514 10.2% 35.9 45s
19282 5754 0.68688 44 111 0.66695 0.73264 9.85% 35.6 50s
20736 6119 0.69536 36 121 0.66695 0.73113 9.62% 35.6 68s
21508 6305 0.69295 53 118 0.66695 0.73050 9.53% 35.8 70s
22518 6563 cutoff 31 0.66695 0.72960 9.39% 36.5 75s
23623 6784 cutoff 34 0.66695 0.72876 9.27% 37.5 81s
24620 6999 0.71901 41 150 0.66695 0.72804 9.16% 38.2 85s
25879 7301 0.71407 36 155 0.66695 0.72683 8.98% 38.9 90s
27283 7556 0.71217 49 147 0.66695 0.72569 8.81% 39.6 95s
28245 7679 0.69549 62 114 0.66695 0.72487 8.68% 40.4 100s
29448 7905 0.69077 48 146 0.66695 0.72410 8.57% 41.0 105s
30525 8116 0.67584 58 131 0.66695 0.72312 8.42% 41.5 110s
31793 8375 0.69794 32 149 0.66695 0.72230 8.30% 42.1 115s
32708 8571 cutoff 40 0.66695 0.72172 8.21% 42.4 120s
33694 8666 0.69239 47 151 0.66695 0.72113 8.12% 42.8 125s
34586 8846 0.72041 31 152 0.66695 0.72051 8.03% 43.2 130s
35995 9114 0.70134 48 139 0.66695 0.71991 7.94% 43.5 135s
37069 9315 0.69201 37 144 0.66695 0.71943 7.87% 43.7 140s
38149 9507 0.68475 53 118 0.66695 0.71894 7.79% 44.0 145s
39519 9750 0.71455 40 145 0.66695 0.71826 7.69% 44.4 151s
40592 9945 0.70564 38 142 0.66695 0.71778 7.62% 44.6 155s
41766 10129 0.68953 38 146 0.66695 0.71712 7.52% 44.8 160s
42958 10315 0.67913 40 150 0.66695 0.71660 7.44% 45.0 165s
44229 10539 cutoff 37 0.66695 0.71617 7.38% 45.1 170s
45403 10772 0.67628 54 123 0.66695 0.71558 7.29% 45.2 175s
46222 10906 cutoff 45 0.66695 0.71532 7.25% 45.3 181s
47449 11134 0.68335 37 145 0.66695 0.71485 7.18% 45.4 186s
48657 11318 0.68238 53 130 0.66695 0.71428 7.10% 45.6 190s
49953 11525 cutoff 46 0.66695 0.71386 7.03% 45.6 195s
51214 11669 0.69511 44 137 0.66695 0.71346 6.97% 45.7 200s
52037 11779 0.66865 46 131 0.66695 0.71320 6.94% 45.8 205s
53216 11933 0.68665 43 158 0.66695 0.71271 6.86% 45.9 210s
54818 12167 0.70116 46 124 0.66695 0.71222 6.79% 46.1 216s
56181 12450 cutoff 44 0.66695 0.71180 6.72% 46.0 221s
57346 12594 0.66794 57 110 0.66695 0.71144 6.67% 46.2 226s
58603 12776 cutoff 37 0.66695 0.71097 6.60% 46.2 231s
59853 12997 0.67491 52 137 0.66695 0.71059 6.54% 46.3 236s
61092 13146 0.68067 61 98 0.66695 0.71024 6.49% 46.3 240s
62344 13357 0.68534 69 121 0.66695 0.70983 6.43% 46.4 245s
63667 13536 infeasible 48 0.66695 0.70944 6.37% 46.5 250s
64892 13676 cutoff 45 0.66695 0.70905 6.31% 46.6 255s
65785 13835 cutoff 50 0.66695 0.70877 6.27% 46.6 261s
67051 14001 0.67715 48 139 0.66695 0.70844 6.22% 46.7 266s
68298 14159 0.67928 48 130 0.66695 0.70812 6.17% 46.7 271s
69648 14425 0.66710 41 133 0.66695 0.70780 6.12% 46.7 276s
70920 14604 0.67371 41 148 0.66695 0.70742 6.07% 46.8 280s
72141 14747 0.67133 58 137 0.66695 0.70709 6.02% 46.9 285s
73479 14969 cutoff 52 0.66695 0.70667 5.95% 46.9 290s
74827 15140 0.66966 50 122 0.66695 0.70627 5.90% 46.9 295s
76139 15328 infeasible 38 0.66695 0.70591 5.84% 46.8 300s
77430 15462 0.68573 41 134 0.66695 0.70561 5.80% 46.8 305s
78736 15627 0.67030 33 164 0.66695 0.70523 5.74% 46.8 310s
80006 15767 0.69362 49 118 0.66695 0.70491 5.69% 46.9 315s
81346 16009 infeasible 35 0.66695 0.70462 5.65% 46.8 320s
82546 16146 0.67506 61 126 0.66695 0.70433 5.60% 46.9 325s
83674 16306 0.67473 44 135 0.66695 0.70406 5.56% 46.9 330s
85066 16533 0.69053 59 122 0.66695 0.70369 5.51% 46.9 335s
85804 16607 cutoff 55 0.66695 0.70354 5.49% 46.9 340s
87184 16785 cutoff 47 0.66695 0.70315 5.43% 46.9 345s
88557 16949 0.70257 49 122 0.66695 0.70284 5.38% 46.9 350s
89939 17165 0.69771 46 141 0.66695 0.70261 5.35% 46.9 355s
91224 17312 infeasible 55 0.66695 0.70237 5.31% 46.9 360s
92663 17532 0.66920 65 125 0.66695 0.70213 5.27% 46.9 365s
94045 17722 cutoff 43 0.66695 0.70185 5.23% 46.8 370s
95696 17874 0.68938 64 118 0.66695 0.70155 5.19% 46.9 376s
97004 18061 0.69208 40 151 0.66695 0.70123 5.14% 46.9 381s
98329 18192 infeasible 48 0.66695 0.70101 5.11% 46.9 386s
99635 18319 0.67892 62 124 0.66695 0.70076 5.07% 46.9 390s
100953 18400 cutoff 38 0.66695 0.70046 5.03% 46.9 395s
102361 18592 0.69310 54 118 0.66695 0.70025 4.99% 46.9 400s
103673 18762 0.66808 69 81 0.66695 0.69998 4.95% 46.9 406s
H103722 18764 0.6669496 0.69998 4.95% 46.9 406s
104528 18731 0.67739 82 80 0.66695 0.69979 4.92% 47.0 411s
105987 18880 0.69250 41 143 0.66695 0.69950 4.88% 46.9 415s
107295 18958 cutoff 43 0.66695 0.69928 4.85% 46.9 420s
108587 19040 cutoff 51 0.66695 0.69902 4.81% 47.0 425s
109470 19064 0.67100 47 143 0.66695 0.69888 4.79% 47.0 430s
110708 19150 0.69021 52 124 0.66695 0.69862 4.75% 47.0 435s
112112 19297 0.68284 50 134 0.66695 0.69835 4.71% 47.0 440s
113468 19320 0.67715 56 118 0.66695 0.69801 4.66% 47.0 445s
114895 19417 cutoff 56 0.66695 0.69777 4.62% 47.0 451s
116338 19578 0.68974 45 151 0.66695 0.69746 4.57% 46.9 455s
116894 19674 0.69072 52 129 0.66695 0.69736 4.56% 46.9 460s
118718 19839 0.67448 41 139 0.66695 0.69703 4.51% 46.9 466s
120118 20050 cutoff 53 0.66695 0.69688 4.49% 46.8 471s
121500 20181 0.66976 55 128 0.66695 0.69663 4.45% 46.8 475s
122825 20310 cutoff 45 0.66695 0.69640 4.42% 46.7 480s
124152 20406 cutoff 41 0.66695 0.69618 4.38% 46.7 485s
125856 20382 0.68075 45 142 0.66695 0.69589 4.34% 46.7 491s
127203 20430 0.67825 53 111 0.66695 0.69567 4.31% 46.8 495s
128471 20471 cutoff 41 0.66695 0.69545 4.27% 46.8 500s
129864 20593 0.67182 48 139 0.66695 0.69525 4.24% 46.7 505s
131207 20720 0.69045 55 123 0.66695 0.69506 4.21% 46.7 510s
132524 20836 cutoff 43 0.66695 0.69484 4.18% 46.7 515s
134357 20930 0.67347 56 123 0.66695 0.69454 4.14% 46.7 521s
135782 21013 0.69274 49 149 0.66695 0.69433 4.10% 46.7 526s
137046 21079 cutoff 45 0.66695 0.69408 4.07% 46.7 530s
138362 21095 0.68564 48 123 0.66695 0.69388 4.04% 46.7 535s
139693 21187 0.67635 43 131 0.66695 0.69365 4.00% 46.7 540s
141154 21330 0.69131 50 126 0.66695 0.69346 3.98% 46.6 545s
142470 21367 0.69247 53 117 0.66695 0.69327 3.95% 46.6 550s
144324 21496 0.67014 85 82 0.66695 0.69304 3.91% 46.6 556s
144782 21518 cutoff 45 0.66695 0.69298 3.90% 46.6 560s
146232 21554 0.67856 59 105 0.66695 0.69277 3.87% 46.6 565s
147529 21584 infeasible 55 0.66695 0.69260 3.85% 46.6 570s
148934 21627 cutoff 56 0.66695 0.69235 3.81% 46.6 575s
150150 21567 infeasible 57 0.66695 0.69214 3.78% 46.6 580s
151506 21548 0.68678 44 117 0.66695 0.69194 3.75% 46.7 585s
153354 21603 infeasible 51 0.66695 0.69166 3.71% 46.6 591s
154607 21569 cutoff 47 0.66695 0.69148 3.68% 46.6 595s
155974 21623 0.68558 57 135 0.66695 0.69124 3.64% 46.6 600s
Cutting planes:
Gomory: 134
Cover: 2
Implied bound: 99
Projected implied bound: 39
MIR: 34
Flow cover: 196
Inf proof: 392
Explored 156183 nodes (7286583 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.66695 0.66695 0.66695
Time limit reached
Best objective 6.669496211976e-01, best bound 6.912253652939e-01, gap 3.6398%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmptsbq1u4i.pyomo.lp
Reading time = 0.02 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdxglebp4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.656288
Presolve removed 746 rows and 483 columns
Presolve time: 0.05s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 9.045413e-01, 1197 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90454 0 113 0.65629 0.90454 37.8% - 0s
0 0 0.87150 0 100 0.65629 0.87150 32.8% - 0s
0 0 0.87150 0 100 0.65629 0.87150 32.8% - 0s
0 0 0.86676 0 127 0.65629 0.86676 32.1% - 0s
0 0 0.86675 0 127 0.65629 0.86675 32.1% - 0s
0 0 0.86363 0 139 0.65629 0.86363 31.6% - 0s
0 0 0.86363 0 141 0.65629 0.86363 31.6% - 0s
0 0 0.86328 0 145 0.65629 0.86328 31.5% - 0s
0 0 0.86271 0 143 0.65629 0.86271 31.5% - 0s
0 0 0.86271 0 143 0.65629 0.86271 31.5% - 0s
0 0 0.86271 0 133 0.65629 0.86271 31.5% - 0s
0 0 0.86271 0 132 0.65629 0.86271 31.5% - 0s
0 2 0.86271 0 132 0.65629 0.86271 31.5% - 0s
827 575 0.76723 23 130 0.65629 0.79797 21.6% 25.1 5s
2579 813 infeasible 26 0.65629 0.76942 17.2% 33.9 10s
4668 1456 0.69427 31 103 0.65629 0.74271 13.2% 33.9 15s
6496 1922 0.69654 29 117 0.65629 0.72724 10.8% 32.5 20s
9428 2822 0.65855 39 113 0.65629 0.71860 9.49% 30.3 25s
11999 3557 0.66386 41 115 0.65629 0.71319 8.67% 29.1 30s
13835 3902 cutoff 36 0.65629 0.71044 8.25% 29.1 35s
16284 4390 0.66503 48 107 0.65629 0.70720 7.76% 28.8 40s
18675 4785 0.66578 51 116 0.65629 0.70472 7.38% 29.3 45s
20819 5127 infeasible 47 0.65629 0.70311 7.13% 29.6 64s
21168 5189 0.68155 36 158 0.65629 0.70285 7.10% 29.7 65s
22713 5464 0.68187 39 121 0.65629 0.70203 6.97% 30.6 70s
23973 5654 0.67315 35 125 0.65629 0.70125 6.85% 32.0 75s
25097 5796 infeasible 35 0.65629 0.70054 6.74% 33.1 80s
26387 5924 infeasible 40 0.65629 0.69960 6.60% 34.3 85s
27657 6039 infeasible 51 0.65629 0.69865 6.45% 35.5 90s
28597 6189 0.67122 36 159 0.65629 0.69806 6.36% 36.1 96s
29567 6279 0.66693 40 136 0.65629 0.69744 6.27% 36.6 100s
30831 6427 0.68175 36 155 0.65629 0.69654 6.13% 37.3 105s
32137 6563 0.67484 42 122 0.65629 0.69584 6.03% 38.0 110s
33496 6667 0.68385 46 129 0.65629 0.69504 5.90% 38.6 115s
34876 6758 0.66403 38 123 0.65629 0.69419 5.78% 39.3 120s
36207 6780 0.67907 47 152 0.65629 0.69352 5.67% 40.0 125s
37753 6902 0.66729 42 116 0.65629 0.69246 5.51% 40.5 130s
39219 6982 0.66713 62 104 0.65629 0.69172 5.40% 41.0 135s
40778 7108 0.66026 48 137 0.65629 0.69089 5.27% 41.5 141s
H41157 7143 0.6562882 0.69072 5.25% 41.6 142s
41390 7194 infeasible 44 0.65629 0.69061 5.23% 41.7 145s
H41392 7194 0.6562882 0.69061 5.23% 41.7 145s
42601 7190 0.67471 36 121 0.65629 0.68999 5.13% 42.0 150s
43821 7277 0.67022 36 152 0.65629 0.68926 5.02% 42.2 155s
45470 7390 cutoff 46 0.65629 0.68846 4.90% 42.5 160s
47147 7540 0.68239 38 135 0.65629 0.68758 4.77% 42.8 166s
48339 7606 0.66155 47 133 0.65629 0.68699 4.68% 43.0 170s
50038 7622 0.67164 34 103 0.65629 0.68621 4.56% 43.3 175s
51453 7701 0.66103 39 126 0.65629 0.68560 4.47% 43.3 180s
53095 7690 0.66463 40 137 0.65629 0.68484 4.35% 43.6 185s
54779 7763 0.66614 35 142 0.65629 0.68417 4.25% 43.7 191s
55956 7777 0.67261 42 153 0.65629 0.68365 4.17% 43.9 195s
57755 7820 cutoff 41 0.65629 0.68289 4.05% 43.9 200s
59514 7880 0.66817 36 125 0.65629 0.68223 3.95% 44.0 206s
60813 7907 0.66400 40 154 0.65629 0.68178 3.88% 44.0 210s
62532 8012 cutoff 40 0.65629 0.68107 3.78% 44.1 215s
63730 7958 0.65922 44 122 0.65629 0.68052 3.69% 44.2 220s
65492 8007 cutoff 64 0.65629 0.67974 3.57% 44.2 225s
66798 8005 infeasible 35 0.65629 0.67919 3.49% 44.2 230s
68499 8006 cutoff 49 0.65629 0.67864 3.41% 44.3 235s
70187 7995 cutoff 30 0.65629 0.67799 3.31% 44.3 240s
71980 8054 cutoff 47 0.65629 0.67751 3.23% 44.2 245s
73551 8033 0.67109 35 157 0.65629 0.67688 3.14% 44.2 251s
74755 7991 0.66890 33 149 0.65629 0.67644 3.07% 44.2 255s
76491 7975 0.67224 34 159 0.65629 0.67582 2.98% 44.2 260s
78165 7900 infeasible 49 0.65629 0.67522 2.88% 44.1 265s
79503 7922 cutoff 51 0.65629 0.67472 2.81% 44.1 270s
80812 7841 cutoff 44 0.65629 0.67433 2.75% 44.0 275s
82472 7776 0.67235 45 96 0.65629 0.67368 2.65% 43.9 280s
84028 7667 0.67112 50 142 0.65629 0.67315 2.57% 43.9 285s
85761 7635 cutoff 45 0.65629 0.67267 2.50% 43.8 290s
87377 7620 0.66291 43 115 0.65629 0.67212 2.41% 43.7 295s
89224 7501 0.66952 101 83 0.65629 0.67142 2.31% 43.6 300s
90884 7499 0.66678 33 150 0.65629 0.67087 2.22% 43.5 305s
92934 7435 cutoff 48 0.65629 0.67031 2.14% 43.3 310s
94492 7379 cutoff 90 0.65629 0.66985 2.07% 43.2 315s
96588 7304 0.65769 40 162 0.65629 0.66920 1.97% 43.0 320s
98578 7204 0.65950 48 123 0.65629 0.66861 1.88% 42.8 325s
100176 6930 0.65875 58 83 0.65629 0.66803 1.79% 42.8 330s
101829 6954 0.65788 74 89 0.65629 0.66757 1.72% 42.6 335s
103928 6908 0.66169 50 87 0.65629 0.66703 1.64% 42.3 340s
105819 6728 0.66440 41 149 0.65629 0.66646 1.55% 42.1 345s
107776 6717 cutoff 104 0.65629 0.66598 1.48% 41.9 350s
109511 6544 0.66457 65 97 0.65629 0.66552 1.41% 41.7 355s
111361 6283 0.66074 53 132 0.65629 0.66497 1.32% 41.6 360s
112948 6316 0.66433 59 90 0.65629 0.66462 1.27% 41.3 365s
114394 6155 0.66434 76 93 0.65629 0.66434 1.23% 41.2 370s
116677 5907 0.65937 105 57 0.65629 0.66375 1.14% 40.9 375s
119031 5859 0.66165 110 61 0.65629 0.66322 1.06% 40.5 380s
Cutting planes:
Gomory: 130
Cover: 3
Implied bound: 87
Projected implied bound: 52
MIR: 32
Flow cover: 181
Inf proof: 392
Explored 121096 nodes (4869759 simplex iterations) in 383.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.656288 0.656288 0.656288
Optimal solution found (tolerance 1.00e-02)
Best objective 6.562882198697e-01, best bound 6.628293793457e-01, gap 0.9967%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxgt0_m3t.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfv1jco0n.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.654803
Presolve removed 760 rows and 492 columns
Presolve time: 0.03s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 8.978847e-01, 1183 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89788 0 119 0.65480 0.89788 37.1% - 0s
0 0 0.86652 0 124 0.65480 0.86652 32.3% - 0s
0 0 0.86652 0 124 0.65480 0.86652 32.3% - 0s
0 0 0.86220 0 123 0.65480 0.86220 31.7% - 0s
0 0 0.86214 0 125 0.65480 0.86214 31.7% - 0s
0 0 0.85907 0 132 0.65480 0.85907 31.2% - 0s
0 0 0.85907 0 132 0.65480 0.85907 31.2% - 0s
0 0 0.85903 0 138 0.65480 0.85903 31.2% - 0s
0 0 0.85903 0 138 0.65480 0.85903 31.2% - 0s
0 0 0.85903 0 138 0.65480 0.85903 31.2% - 0s
0 0 0.85903 0 130 0.65480 0.85903 31.2% - 0s
0 2 0.85903 0 130 0.65480 0.85903 31.2% - 0s
786 556 0.79578 14 151 0.65480 0.79578 21.5% 23.2 5s
2392 945 0.76495 25 150 0.65480 0.78166 19.4% 30.4 10s
3671 1657 0.70498 31 149 0.65480 0.76672 17.1% 31.6 15s
5067 2039 0.70402 30 136 0.65480 0.75566 15.4% 36.0 20s
6264 2369 0.68057 30 133 0.65480 0.74884 14.4% 37.3 25s
7445 2562 0.73076 33 143 0.65480 0.74220 13.3% 39.5 30s
8928 2749 0.72958 25 150 0.65480 0.73622 12.4% 41.0 36s
9949 2886 0.65628 27 133 0.65480 0.73298 11.9% 41.6 40s
11403 3037 infeasible 27 0.65480 0.72738 11.1% 42.4 46s
12563 3196 0.66548 29 140 0.65480 0.72338 10.5% 42.7 50s
13861 3367 0.68169 36 140 0.65480 0.72087 10.1% 42.6 55s
15602 3568 0.66679 37 136 0.65480 0.71692 9.49% 42.5 61s
16786 3677 0.67965 28 160 0.65480 0.71433 9.09% 42.6 65s
18606 4000 0.70030 32 145 0.65480 0.71111 8.60% 42.1 70s
20346 4351 0.67031 52 137 0.65480 0.70863 8.22% 41.6 75s
20777 4492 0.68267 42 130 0.65480 0.70829 8.17% 41.5 93s
20784 4497 0.66466 130 177 0.65480 0.70829 8.17% 41.5 96s
20791 4501 0.67119 33 192 0.65480 0.70829 8.17% 41.4 100s
20796 4505 0.67966 66 194 0.65480 0.70829 8.17% 41.4 105s
20801 4508 0.67842 38 216 0.65480 0.70829 8.17% 41.4 110s
20806 4511 0.70273 32 217 0.65480 0.70829 8.17% 41.4 115s
20812 4515 0.69813 40 213 0.65480 0.70829 8.17% 41.4 120s
20818 4519 0.66114 65 232 0.65480 0.70829 8.17% 41.4 125s
20824 4523 0.69138 55 234 0.65480 0.70829 8.17% 41.4 130s
20830 4527 0.68255 69 232 0.65480 0.70829 8.17% 41.4 135s
20834 4530 0.67773 39 239 0.65480 0.70829 8.17% 41.4 140s
20841 4535 0.66084 38 239 0.65480 0.70829 8.17% 41.3 145s
20846 4538 0.65715 36 241 0.65480 0.70829 8.17% 41.3 150s
20852 4542 0.65633 26 242 0.65480 0.70829 8.17% 41.3 155s
20859 4547 0.66807 112 248 0.65480 0.70829 8.17% 41.3 160s
20865 4551 0.66398 28 238 0.65480 0.70829 8.17% 41.3 165s
20871 4555 0.69624 28 257 0.65480 0.70829 8.17% 41.3 170s
20876 4558 0.69709 30 255 0.65480 0.70829 8.17% 41.3 175s
20882 4562 0.66124 30 251 0.65480 0.70829 8.17% 41.3 180s
20887 4565 0.67286 38 258 0.65480 0.70829 8.17% 41.2 185s
20890 4567 0.69694 28 243 0.65480 0.70829 8.17% 41.2 190s
H20893 4338 0.6548027 0.70829 8.17% 41.2 196s
20899 4342 0.68001 33 255 0.65480 0.70829 8.17% 41.2 200s
20902 4344 0.68982 38 243 0.65480 0.70829 8.17% 41.2 205s
20908 4348 0.68944 34 252 0.65480 0.70829 8.17% 41.2 210s
20914 4352 0.68581 35 241 0.65480 0.70829 8.17% 41.2 215s
20920 4356 0.70241 32 247 0.65480 0.70829 8.17% 41.2 220s
20926 4360 0.66843 39 248 0.65480 0.70829 8.17% 41.2 225s
20931 4364 0.67216 61 251 0.65480 0.70829 8.17% 41.2 230s
20936 4367 0.66439 29 255 0.65480 0.70829 8.17% 41.1 235s
20941 4370 0.66084 38 252 0.65480 0.70829 8.17% 41.1 240s
20947 4374 0.68732 55 263 0.65480 0.70829 8.17% 41.1 245s
20952 4378 0.65633 26 261 0.65480 0.70829 8.17% 41.1 250s
20958 4382 0.70176 46 268 0.65480 0.70829 8.17% 41.1 255s
20964 4386 0.69141 37 263 0.65480 0.70829 8.17% 41.1 260s
20970 4390 0.67629 32 263 0.65480 0.70829 8.17% 41.1 265s
20976 4394 0.69709 30 261 0.65480 0.70829 8.17% 41.1 270s
20981 4397 0.66664 35 257 0.65480 0.70829 8.17% 41.1 275s
20986 4402 0.70829 19 212 0.65480 0.70829 8.17% 43.1 283s
20988 4401 infeasible 20 0.65480 0.70829 8.17% 43.1 289s
20991 4400 0.70829 21 247 0.65480 0.70829 8.17% 43.1 294s
20993 4398 infeasible 22 0.65480 0.70829 8.17% 43.1 299s
20994 4398 0.70829 22 247 0.65480 0.70829 8.17% 43.2 300s
20996 4399 0.70829 24 243 0.65480 0.70829 8.17% 43.2 305s
21012 4408 0.70583 28 230 0.65480 0.70829 8.17% 43.3 310s
21179 4451 0.65545 70 124 0.65480 0.70829 8.17% 43.9 315s
21422 4479 0.69137 44 190 0.65480 0.70829 8.17% 44.9 320s
21753 4539 0.66158 42 202 0.65480 0.70584 7.79% 45.6 325s
22056 4579 0.65616 53 177 0.65480 0.70400 7.51% 46.7 330s
22259 4592 0.65701 47 164 0.65480 0.70355 7.44% 47.1 335s
22657 4626 0.68882 37 203 0.65480 0.70211 7.22% 48.3 340s
22993 4661 0.69593 33 203 0.65480 0.70016 6.93% 49.1 346s
23350 4768 0.67544 43 197 0.65480 0.69962 6.85% 49.9 350s
23697 4775 0.69498 38 213 0.65480 0.69878 6.72% 50.7 355s
24114 4834 0.68406 41 200 0.65480 0.69800 6.60% 51.6 360s
24619 4935 cutoff 37 0.65480 0.69686 6.42% 52.4 366s
24883 4941 0.66845 45 199 0.65480 0.69634 6.34% 53.2 370s
25246 4975 0.67526 47 196 0.65480 0.69572 6.25% 53.9 375s
25801 5002 0.68232 53 151 0.65480 0.69496 6.13% 55.2 382s
H25830 4788 0.6548027 0.69496 6.13% 55.2 382s
25890 4784 0.69200 37 200 0.65480 0.69473 6.10% 55.3 385s
26065 4790 0.67966 41 200 0.65480 0.69464 6.08% 55.8 392s
26071 4782 0.67856 42 190 0.65480 0.69462 6.08% 55.8 395s
26500 4816 0.67976 36 217 0.65480 0.69429 6.03% 56.7 401s
26873 4810 0.68537 37 196 0.65480 0.69382 5.96% 57.8 407s
27141 4837 0.65888 45 178 0.65480 0.69364 5.93% 58.2 410s
27619 4804 0.65761 40 181 0.65480 0.69306 5.84% 59.4 417s
27865 4800 0.67354 32 207 0.65480 0.69286 5.81% 60.1 421s
28090 4807 0.66873 46 171 0.65480 0.69264 5.78% 60.6 425s
28441 4782 0.66631 41 188 0.65480 0.69226 5.72% 61.8 432s
28755 4764 cutoff 46 0.65480 0.69204 5.69% 62.4 436s
28962 4731 0.67123 36 216 0.65480 0.69172 5.64% 63.3 441s
29296 4725 cutoff 56 0.65480 0.69160 5.62% 63.9 446s
29629 4716 cutoff 51 0.65480 0.69123 5.56% 64.6 451s
30032 4728 cutoff 44 0.65480 0.69098 5.53% 65.1 456s
30477 4710 cutoff 50 0.65480 0.69054 5.46% 65.6 461s
30864 4668 cutoff 54 0.65480 0.69027 5.42% 66.3 466s
31192 4611 cutoff 38 0.65480 0.69000 5.38% 67.1 471s
31668 4595 0.66563 44 219 0.65480 0.68967 5.33% 67.7 477s
32054 4561 0.67184 39 198 0.65480 0.68941 5.28% 68.4 482s
32448 4551 cutoff 54 0.65480 0.68925 5.26% 69.1 488s
32815 4540 0.68536 58 135 0.65480 0.68904 5.23% 69.4 493s
33212 4492 0.67407 39 208 0.65480 0.68882 5.20% 70.1 498s
33604 4498 0.66871 35 217 0.65480 0.68861 5.16% 70.8 504s
33985 4581 0.66008 45 172 0.65480 0.68841 5.13% 71.4 509s
34325 4633 cutoff 44 0.65480 0.68822 5.10% 72.1 515s
34699 4720 0.65587 38 157 0.65480 0.68791 5.06% 72.8 522s
34855 4713 cutoff 39 0.65480 0.68781 5.04% 72.9 527s
35269 4764 cutoff 52 0.65480 0.68755 5.00% 73.5 533s
35736 4841 cutoff 40 0.65480 0.68733 4.97% 74.0 538s
36128 4915 cutoff 38 0.65480 0.68697 4.91% 74.6 543s
36499 5005 0.68060 53 150 0.65480 0.68674 4.88% 75.1 549s
36912 5082 cutoff 46 0.65480 0.68653 4.84% 75.7 554s
37259 5135 0.67181 57 156 0.65480 0.68630 4.81% 76.2 560s
37647 5199 0.67057 53 164 0.65480 0.68613 4.78% 76.7 565s
38036 5242 0.68256 56 137 0.65480 0.68587 4.74% 77.3 571s
38518 5325 0.66400 60 134 0.65480 0.68562 4.71% 77.7 577s
38870 5372 0.66279 48 195 0.65480 0.68537 4.67% 78.4 585s
H38946 5398 0.6548027 0.68536 4.67% 78.5 585s
38956 5365 0.66419 46 145 0.65480 0.68536 4.67% 78.5 591s
39491 5447 0.65791 48 137 0.65480 0.68498 4.61% 79.2 597s
39932 5510 0.67307 54 132 0.65480 0.68473 4.57% 80.1 600s
Cutting planes:
Gomory: 186
Cover: 5
Implied bound: 55
Projected implied bound: 51
Clique: 1
MIR: 206
StrongCG: 7
Flow cover: 653
Inf proof: 102
Zero half: 2
Explored 40116 nodes (3230331 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.654803 0.654803 0.654803 0.654803
Time limit reached
Best objective 6.548027202359e-01, best bound 6.845835766399e-01, gap 4.5481%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv0t39w72.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz4olf3d6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [7e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.650078
Presolve removed 774 rows and 501 columns
Presolve time: 0.03s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 8.888097e-01, 1208 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88881 0 121 0.65008 0.88881 36.7% - 0s
0 0 0.85016 0 108 0.65008 0.85016 30.8% - 0s
0 0 0.85014 0 106 0.65008 0.85014 30.8% - 0s
0 0 0.84552 0 122 0.65008 0.84552 30.1% - 0s
0 0 0.84465 0 127 0.65008 0.84465 29.9% - 0s
0 0 0.84214 0 123 0.65008 0.84214 29.5% - 0s
0 0 0.84202 0 124 0.65008 0.84202 29.5% - 0s
0 0 0.84165 0 133 0.65008 0.84165 29.5% - 0s
0 0 0.84147 0 130 0.65008 0.84147 29.4% - 0s
0 0 0.84123 0 132 0.65008 0.84123 29.4% - 0s
0 0 0.84119 0 132 0.65008 0.84119 29.4% - 0s
0 0 0.84119 0 132 0.65008 0.84119 29.4% - 0s
0 0 0.84117 0 132 0.65008 0.84117 29.4% - 0s
0 0 0.84117 0 132 0.65008 0.84117 29.4% - 0s
0 0 0.84117 0 132 0.65008 0.84117 29.4% - 0s
0 0 0.84117 0 121 0.65008 0.84117 29.4% - 0s
0 2 0.84117 0 119 0.65008 0.84117 29.4% - 0s
799 593 0.77990 20 133 0.65008 0.80004 23.1% 25.3 5s
2851 1207 0.74028 24 126 0.65008 0.77417 19.1% 28.8 10s
4696 1907 cutoff 40 0.65008 0.75928 16.8% 33.6 15s
5664 2124 0.65699 29 129 0.65008 0.75374 15.9% 35.7 20s
7353 2604 cutoff 40 0.65008 0.74397 14.4% 36.8 25s
9496 3138 0.65505 70 119 0.65008 0.73661 13.3% 36.9 30s
11509 3689 0.69709 48 117 0.65008 0.73155 12.5% 36.8 35s
H13462 4244 0.6500779 0.72578 11.6% 35.9 39s
13476 4211 cutoff 54 0.65008 0.72578 11.6% 35.9 40s
15428 4651 0.70044 28 137 0.65008 0.72139 11.0% 35.5 45s
17677 5216 infeasible 42 0.65008 0.71793 10.4% 34.8 50s
20067 5747 0.70061 45 126 0.65008 0.71500 10.0% 34.2 57s
21001 5836 0.69069 45 133 0.65008 0.71355 9.76% 34.3 74s
21383 5933 0.67021 41 134 0.65008 0.71285 9.66% 34.3 75s
22616 6017 infeasible 46 0.65008 0.71096 9.37% 35.2 80s
24247 6225 cutoff 35 0.65008 0.70892 9.05% 36.2 85s
25357 6288 0.68941 41 154 0.65008 0.70753 8.84% 36.9 90s
26564 6422 cutoff 30 0.65008 0.70597 8.60% 37.6 95s
28016 6590 0.69038 43 124 0.65008 0.70397 8.29% 38.4 100s
29268 6687 0.66235 31 140 0.65008 0.70250 8.06% 39.1 105s
30562 6810 cutoff 39 0.65008 0.70100 7.83% 39.6 110s
31878 6930 0.65541 44 148 0.65008 0.69953 7.61% 40.1 115s
33332 7172 0.68738 39 141 0.65008 0.69823 7.41% 40.4 120s
34682 7243 0.66875 46 148 0.65008 0.69672 7.17% 40.8 125s
36152 7422 0.67131 50 133 0.65008 0.69546 6.98% 41.2 131s
37326 7527 0.67647 52 126 0.65008 0.69420 6.79% 41.3 135s
38910 7690 cutoff 50 0.65008 0.69283 6.58% 41.5 140s
40478 7825 0.67594 38 147 0.65008 0.69138 6.35% 41.6 145s
41708 7942 cutoff 36 0.65008 0.69034 6.19% 41.7 150s
43362 8056 0.66951 57 136 0.65008 0.68919 6.02% 41.8 155s
44985 8154 cutoff 56 0.65008 0.68806 5.84% 41.9 161s
46300 8247 cutoff 34 0.65008 0.68702 5.68% 42.0 165s
48029 8387 0.67167 38 135 0.65008 0.68593 5.51% 42.1 170s
49643 8467 0.65617 52 119 0.65008 0.68508 5.38% 42.1 175s
51363 8623 0.67739 52 127 0.65008 0.68405 5.23% 42.1 181s
52633 8737 0.65641 54 143 0.65008 0.68321 5.10% 42.1 186s
53506 8768 0.65400 83 96 0.65008 0.68277 5.03% 42.1 190s
55310 8895 0.66155 31 173 0.65008 0.68165 4.86% 42.0 195s
56365 8973 cutoff 53 0.65008 0.68103 4.76% 41.9 200s
58054 9038 cutoff 45 0.65008 0.68025 4.64% 41.9 205s
59786 9124 0.67564 57 125 0.65008 0.67934 4.50% 41.8 210s
61196 9326 cutoff 64 0.65008 0.67874 4.41% 41.7 215s
62975 9442 cutoff 62 0.65008 0.67788 4.28% 41.5 220s
64774 9520 0.65160 84 97 0.65008 0.67717 4.17% 41.4 225s
66463 9544 0.66156 59 137 0.65008 0.67653 4.07% 41.4 230s
68213 9597 0.66539 50 147 0.65008 0.67582 3.96% 41.3 235s
69887 9603 cutoff 37 0.65008 0.67518 3.86% 41.3 240s
71625 9630 0.65020 58 95 0.65008 0.67456 3.77% 41.2 245s
73343 9749 0.66556 43 150 0.65008 0.67405 3.69% 41.1 250s
75153 9966 0.66664 63 109 0.65008 0.67339 3.59% 40.8 255s
76833 9948 0.66458 40 174 0.65008 0.67279 3.49% 40.8 260s
78875 9936 0.67137 56 133 0.65008 0.67203 3.38% 40.7 265s
80519 9920 0.65688 82 104 0.65008 0.67145 3.29% 40.7 270s
82204 9942 cutoff 43 0.65008 0.67090 3.20% 40.6 275s
83305 10030 0.65687 30 153 0.65008 0.67062 3.16% 40.5 280s
85352 10032 0.66884 70 108 0.65008 0.66988 3.05% 40.4 285s
87143 10118 cutoff 70 0.65008 0.66941 2.97% 40.2 290s
88730 10077 0.65125 57 120 0.65008 0.66890 2.89% 40.2 295s
90942 10153 infeasible 61 0.65008 0.66821 2.79% 40.1 300s
92724 10259 cutoff 62 0.65008 0.66772 2.71% 39.9 305s
94766 10251 cutoff 45 0.65008 0.66714 2.63% 39.8 310s
96437 10237 cutoff 54 0.65008 0.66672 2.56% 39.7 315s
98300 10106 cutoff 63 0.65008 0.66612 2.47% 39.7 320s
100137 10253 infeasible 75 0.65008 0.66566 2.40% 39.5 325s
102452 10254 0.66493 42 151 0.65008 0.66493 2.28% 39.3 330s
104700 10348 0.66412 80 91 0.65008 0.66443 2.21% 39.1 336s
106713 10510 0.65096 58 97 0.65008 0.66412 2.16% 38.8 340s
108994 10415 0.65681 65 118 0.65008 0.66340 2.05% 38.6 345s
110792 10516 cutoff 99 0.65008 0.66300 1.99% 38.4 351s
112133 10488 0.65181 106 67 0.65008 0.66274 1.95% 38.3 355s
114690 10488 0.66230 105 70 0.65008 0.66230 1.88% 38.0 360s
116802 10602 cutoff 108 0.65008 0.66189 1.82% 37.8 365s
119453 10609 infeasible 61 0.65008 0.66145 1.75% 37.5 370s
121394 10652 0.65396 115 61 0.65008 0.66112 1.70% 37.3 375s
123844 10644 0.65708 112 60 0.65008 0.66074 1.64% 37.0 380s
126543 10460 cutoff 69 0.65008 0.66020 1.56% 36.7 385s
128988 10398 cutoff 103 0.65008 0.65985 1.50% 36.4 390s
131535 10156 cutoff 83 0.65008 0.65933 1.42% 36.1 395s
134364 10135 cutoff 103 0.65008 0.65893 1.36% 35.8 400s
136783 10017 cutoff 61 0.65008 0.65859 1.31% 35.6 405s
139477 9896 cutoff 105 0.65008 0.65826 1.26% 35.3 410s
142376 9836 cutoff 113 0.65008 0.65782 1.19% 35.0 415s
144717 9578 cutoff 56 0.65008 0.65742 1.13% 34.8 420s
147429 9332 0.65610 126 83 0.65008 0.65700 1.06% 34.5 425s
149862 8996 0.65081 119 61 0.65008 0.65661 1.00% 34.4 430s
Cutting planes:
Gomory: 157
Cover: 4
Implied bound: 74
Projected implied bound: 52
Clique: 3
MIR: 37
Flow cover: 182
GUB cover: 1
Inf proof: 414
Explored 150302 nodes (5157345 simplex iterations) in 430.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.650078 0.650078
Optimal solution found (tolerance 1.00e-02)
Best objective 6.500778827985e-01, best bound 6.565466180697e-01, gap 0.9951%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2yyq00g1.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6z9vlbal.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.645961
Presolve removed 788 rows and 510 columns
Presolve time: 0.04s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 8.827261e-01, 1279 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88273 0 121 0.64596 0.88273 36.7% - 0s
0 0 0.84180 0 131 0.64596 0.84180 30.3% - 0s
0 0 0.83753 0 141 0.64596 0.83753 29.7% - 0s
0 0 0.83719 0 142 0.64596 0.83719 29.6% - 0s
0 0 0.83614 0 137 0.64596 0.83614 29.4% - 0s
0 0 0.83614 0 137 0.64596 0.83614 29.4% - 0s
0 0 0.83542 0 137 0.64596 0.83542 29.3% - 0s
0 0 0.83541 0 137 0.64596 0.83541 29.3% - 0s
0 0 0.83524 0 138 0.64596 0.83524 29.3% - 0s
0 0 0.83524 0 138 0.64596 0.83524 29.3% - 0s
0 0 0.83523 0 138 0.64596 0.83523 29.3% - 0s
0 0 0.83523 0 119 0.64596 0.83523 29.3% - 0s
0 2 0.83523 0 119 0.64596 0.83523 29.3% - 0s
775 583 0.78413 13 142 0.64596 0.79173 22.6% 22.4 5s
2274 1064 0.70766 35 149 0.64596 0.77958 20.7% 30.7 10s
3517 1572 0.72244 26 144 0.64596 0.76545 18.5% 33.6 15s
5239 2099 0.72439 24 138 0.64596 0.75097 16.3% 37.5 20s
6968 2605 0.66017 32 120 0.64596 0.74039 14.6% 39.3 25s
8082 2770 cutoff 35 0.64596 0.73317 13.5% 40.7 30s
9139 2982 0.66091 35 138 0.64596 0.72741 12.6% 41.5 35s
10891 3311 0.69957 29 154 0.64596 0.72183 11.7% 41.7 40s
12189 3460 cutoff 33 0.64596 0.71699 11.0% 42.6 45s
H12937 3565 0.6459612 0.71529 10.7% 42.9 48s
13387 3605 0.69584 31 136 0.64596 0.71405 10.5% 42.7 50s
15042 3862 0.69353 37 146 0.64596 0.70914 9.78% 42.6 55s
17035 4098 0.67463 33 135 0.64596 0.70517 9.17% 42.2 60s
18744 4313 infeasible 34 0.64596 0.70136 8.58% 41.9 65s
20834 4793 cutoff 39 0.64596 0.69809 8.07% 40.9 84s
21284 4911 cutoff 48 0.64596 0.69781 8.03% 40.8 85s
22795 5297 0.67182 51 146 0.64596 0.69616 7.77% 41.0 93s
22992 5361 cutoff 27 0.64596 0.69596 7.74% 40.9 95s
24477 5664 0.65372 28 163 0.64596 0.69397 7.43% 41.6 100s
25942 6007 0.67709 52 145 0.64596 0.69242 7.19% 41.7 105s
27818 6601 0.65410 37 119 0.64596 0.69098 6.97% 41.5 110s
29472 7019 0.65170 38 147 0.64596 0.68926 6.70% 41.4 115s
31254 7657 0.67110 28 134 0.64596 0.68809 6.52% 41.2 120s
33090 8181 0.68085 35 163 0.64596 0.68685 6.33% 41.2 126s
34886 8795 0.66230 34 138 0.64596 0.68615 6.22% 41.0 130s
36298 9038 0.65930 61 124 0.64596 0.68540 6.11% 41.1 135s
38074 9591 0.67273 34 166 0.64596 0.68461 5.98% 40.9 140s
39436 9874 0.65026 74 111 0.64596 0.68397 5.88% 41.1 145s
41035 10291 0.66235 57 142 0.64596 0.68336 5.79% 41.1 150s
42644 10771 0.68132 34 132 0.64596 0.68274 5.69% 41.0 155s
44232 11172 0.65408 32 153 0.64596 0.68230 5.63% 41.0 160s
45709 11462 0.67022 71 135 0.64596 0.68175 5.54% 41.1 165s
47169 11788 0.65686 52 141 0.64596 0.68132 5.47% 41.2 171s
48742 12080 0.66900 47 161 0.64596 0.68081 5.39% 41.2 176s
50224 12402 cutoff 58 0.64596 0.68040 5.33% 41.3 181s
51394 12582 0.66650 46 161 0.64596 0.68004 5.28% 41.3 186s
52448 12710 0.65579 61 137 0.64596 0.67981 5.24% 41.4 190s
53989 12958 0.66575 54 155 0.64596 0.67939 5.17% 41.5 195s
55509 13184 0.66943 40 164 0.64596 0.67901 5.12% 41.6 201s
56736 13357 cutoff 43 0.64596 0.67878 5.08% 41.6 205s
58384 13573 cutoff 34 0.64596 0.67839 5.02% 41.7 211s
59579 13763 cutoff 63 0.64596 0.67815 4.98% 41.8 215s
61187 13970 0.66138 43 147 0.64596 0.67774 4.92% 41.8 221s
62350 14103 0.65013 49 138 0.64596 0.67748 4.88% 41.9 225s
63607 14309 cutoff 35 0.64596 0.67716 4.83% 42.0 230s
65300 14524 0.67326 54 147 0.64596 0.67681 4.78% 42.1 235s
66656 14667 0.65014 36 142 0.64596 0.67648 4.72% 42.1 240s
68344 14894 cutoff 68 0.64596 0.67616 4.68% 42.2 245s
69651 14965 0.67272 49 140 0.64596 0.67584 4.63% 42.2 250s
70435 15051 cutoff 53 0.64596 0.67571 4.61% 42.3 255s
72078 15239 0.65519 36 144 0.64596 0.67535 4.55% 42.4 261s
73420 15339 0.64614 64 141 0.64596 0.67503 4.50% 42.4 265s
74397 15499 cutoff 53 0.64596 0.67487 4.47% 42.4 270s
75656 15651 0.66523 67 140 0.64596 0.67460 4.43% 42.4 276s
77006 15789 0.67299 33 132 0.64596 0.67430 4.39% 42.4 280s
78560 15894 0.66028 37 153 0.64596 0.67394 4.33% 42.5 286s
79976 16043 0.65392 43 152 0.64596 0.67371 4.30% 42.5 290s
81769 16215 0.65581 39 155 0.64596 0.67335 4.24% 42.5 296s
83014 16338 cutoff 112 0.64596 0.67309 4.20% 42.6 300s
84745 16436 0.65883 61 143 0.64596 0.67275 4.15% 42.6 306s
86184 16610 0.65907 34 178 0.64596 0.67253 4.11% 42.6 310s
87946 16766 cutoff 68 0.64596 0.67219 4.06% 42.6 316s
89294 16853 0.65433 32 149 0.64596 0.67196 4.03% 42.6 320s
91007 16896 0.65052 43 170 0.64596 0.67161 3.97% 42.6 325s
92318 16968 0.66738 67 137 0.64596 0.67138 3.93% 42.7 330s
93251 17096 0.65090 42 151 0.64596 0.67121 3.91% 42.6 335s
94914 17219 cutoff 51 0.64596 0.67090 3.86% 42.7 341s
96220 17320 0.65946 40 114 0.64596 0.67066 3.82% 42.7 345s
97998 17459 cutoff 42 0.64596 0.67031 3.77% 42.7 351s
99380 17517 0.65896 47 154 0.64596 0.67007 3.73% 42.7 355s
101114 17650 0.65148 54 151 0.64596 0.66974 3.68% 42.8 361s
102514 17786 0.65408 55 132 0.64596 0.66952 3.65% 42.7 365s
104284 17946 cutoff 36 0.64596 0.66926 3.61% 42.8 371s
105541 17969 0.65053 52 130 0.64596 0.66902 3.57% 42.8 375s
107382 18019 cutoff 61 0.64596 0.66868 3.52% 42.9 380s
108726 18064 cutoff 51 0.64596 0.66843 3.48% 42.9 385s
110564 18163 cutoff 33 0.64596 0.66812 3.43% 42.9 390s
112376 18253 0.66206 44 155 0.64596 0.66779 3.38% 42.9 396s
113710 18291 infeasible 49 0.64596 0.66756 3.34% 42.9 400s
115021 18410 0.65733 31 169 0.64596 0.66730 3.30% 42.9 405s
116984 18591 0.66096 49 156 0.64596 0.66702 3.26% 42.9 411s
117857 18477 0.64815 39 134 0.64596 0.66687 3.24% 43.0 415s
119221 18489 0.64867 34 179 0.64596 0.66666 3.20% 43.0 420s
120900 18545 0.64966 53 157 0.64596 0.66639 3.16% 43.0 425s
122685 18555 0.66148 37 166 0.64596 0.66605 3.11% 43.0 431s
123969 18496 0.64790 49 136 0.64596 0.66579 3.07% 43.0 435s
125777 18590 0.65101 63 114 0.64596 0.66551 3.03% 43.0 440s
127610 18607 0.64815 58 133 0.64596 0.66520 2.98% 42.9 446s
128975 18602 0.64710 77 105 0.64596 0.66500 2.95% 42.9 450s
130688 18543 0.65181 54 147 0.64596 0.66472 2.90% 43.0 455s
132547 18586 cutoff 52 0.64596 0.66443 2.86% 42.9 460s
133951 18592 0.65497 78 105 0.64596 0.66424 2.83% 42.9 465s
135747 18588 0.65534 34 153 0.64596 0.66395 2.78% 42.8 470s
137689 18672 0.65105 34 130 0.64596 0.66368 2.74% 42.7 475s
139529 18634 cutoff 56 0.64596 0.66338 2.70% 42.7 480s
141258 18662 0.65140 62 139 0.64596 0.66313 2.66% 42.7 487s
141684 18556 cutoff 52 0.64596 0.66305 2.65% 42.7 490s
143593 18612 cutoff 41 0.64596 0.66278 2.60% 42.6 495s
145289 18583 0.66253 98 92 0.64596 0.66253 2.57% 42.6 501s
147058 18558 0.66147 53 139 0.64596 0.66226 2.52% 42.6 505s
148784 18484 cutoff 33 0.64596 0.66195 2.48% 42.6 511s
150720 18581 0.65232 79 99 0.64596 0.66173 2.44% 42.4 515s
151775 18449 0.65731 54 152 0.64596 0.66149 2.40% 42.5 520s
153635 18498 0.65402 57 152 0.64596 0.66121 2.36% 42.4 525s
155277 18397 0.64669 76 120 0.64596 0.66093 2.32% 42.4 530s
156917 18243 0.65817 92 79 0.64596 0.66066 2.28% 42.4 535s
158958 18195 cutoff 38 0.64596 0.66033 2.22% 42.3 541s
160689 18184 0.65213 50 148 0.64596 0.66008 2.19% 42.2 546s
162203 18116 infeasible 120 0.64596 0.65983 2.15% 42.2 550s
163833 18079 0.65717 41 144 0.64596 0.65955 2.10% 42.2 555s
165913 18057 infeasible 38 0.64596 0.65924 2.06% 42.0 561s
167582 18007 cutoff 48 0.64596 0.65900 2.02% 42.0 565s
169247 17982 0.65563 42 176 0.64596 0.65878 1.98% 41.9 570s
170150 17906 0.65426 58 163 0.64596 0.65864 1.96% 41.9 575s
171952 17753 0.65065 59 137 0.64596 0.65835 1.92% 41.9 580s
173999 17707 infeasible 143 0.64596 0.65809 1.88% 41.8 585s
175982 17619 0.65628 76 101 0.64596 0.65778 1.83% 41.7 591s
177887 17715 0.65617 88 84 0.64596 0.65757 1.80% 41.6 595s
180116 17943 0.65427 127 73 0.64596 0.65731 1.76% 41.4 600s
Cutting planes:
Gomory: 165
Cover: 5
Implied bound: 88
Projected implied bound: 64
MIR: 35
Flow cover: 191
Inf proof: 478
Explored 180356 nodes (7469738 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.645961 0.645961
Time limit reached
Best objective 6.459612021825e-01, best bound 6.572812880941e-01, gap 1.7524%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5it7uk69.pyomo.lp
Reading time = 0.01 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpc68w8hk1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.63574
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 8.683623e-01, 1219 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86836 0 125 0.63574 0.86836 36.6% - 0s
0 0 0.83261 0 134 0.63574 0.83261 31.0% - 0s
0 0 0.82908 0 142 0.63574 0.82908 30.4% - 0s
0 0 0.82846 0 145 0.63574 0.82846 30.3% - 0s
0 0 0.82621 0 144 0.63574 0.82621 30.0% - 0s
0 0 0.82603 0 138 0.63574 0.82603 29.9% - 0s
0 0 0.82603 0 138 0.63574 0.82603 29.9% - 0s
0 0 0.82601 0 143 0.63574 0.82601 29.9% - 0s
0 0 0.82601 0 121 0.63574 0.82601 29.9% - 0s
0 2 0.82601 0 121 0.63574 0.82601 29.9% - 0s
771 598 0.78216 11 144 0.63574 0.78216 23.0% 24.0 5s
2072 913 0.68795 33 147 0.63574 0.76443 20.2% 33.4 10s
3746 1556 0.69832 38 139 0.63574 0.75079 18.1% 34.8 15s
4725 1938 0.69713 35 144 0.63574 0.74595 17.3% 37.1 20s
6235 2439 infeasible 34 0.63574 0.73803 16.1% 39.3 25s
7669 2856 0.66110 39 111 0.63574 0.73254 15.2% 40.6 30s
9147 3166 0.68402 32 131 0.63574 0.72666 14.3% 42.0 35s
10387 3447 0.66632 31 145 0.63574 0.72248 13.6% 42.8 40s
11465 3695 0.68344 38 137 0.63574 0.71929 13.1% 42.9 45s
12902 4040 cutoff 33 0.63574 0.71668 12.7% 43.2 50s
H12923 4045 0.6357403 0.71668 12.7% 43.2 50s
13903 4180 0.66345 26 154 0.63574 0.71436 12.4% 43.5 56s
14650 4316 0.69445 31 149 0.63574 0.71313 12.2% 43.6 60s
16130 4555 cutoff 33 0.63574 0.71009 11.7% 44.0 65s
17554 4836 0.65643 42 133 0.63574 0.70826 11.4% 44.1 71s
18697 5072 cutoff 35 0.63574 0.70660 11.1% 44.3 77s
19076 5105 cutoff 37 0.63574 0.70607 11.1% 44.5 80s
20579 5332 0.69198 30 147 0.63574 0.70385 10.7% 44.9 86s
20976 5403 0.64430 33 141 0.63574 0.70350 10.7% 45.0 102s
21587 5560 0.65550 35 142 0.63574 0.70292 10.6% 45.2 105s
22375 5670 0.66311 33 150 0.63574 0.70216 10.4% 45.9 110s
23400 5741 0.66634 37 159 0.63574 0.70073 10.2% 47.2 115s
24165 5826 cutoff 34 0.63574 0.70009 10.1% 48.1 120s
25282 5996 cutoff 37 0.63574 0.69891 9.94% 49.2 126s
26124 6096 0.68151 41 161 0.63574 0.69780 9.76% 50.1 131s
27059 6239 cutoff 37 0.63574 0.69672 9.59% 50.8 136s
27995 6325 0.64125 47 139 0.63574 0.69569 9.43% 51.6 141s
28874 6351 0.64454 28 170 0.63574 0.69426 9.20% 52.6 146s
29705 6421 0.68966 34 175 0.63574 0.69294 9.00% 53.5 151s
30442 6617 0.65326 32 156 0.63574 0.69234 8.90% 53.7 155s
31447 6725 cutoff 34 0.63574 0.69123 8.73% 54.4 160s
32172 6797 cutoff 36 0.63574 0.69050 8.61% 54.7 165s
33276 6860 0.64146 33 166 0.63574 0.68948 8.45% 55.4 170s
34343 6929 0.64405 46 137 0.63574 0.68841 8.28% 56.0 176s
35114 7037 0.64202 44 144 0.63574 0.68779 8.19% 56.3 180s
35871 7071 0.67173 30 152 0.63574 0.68723 8.10% 56.6 185s
37030 7218 0.64279 34 167 0.63574 0.68612 7.92% 56.8 190s
38122 7258 0.64008 53 140 0.63574 0.68525 7.79% 57.2 196s
38859 7301 infeasible 36 0.63574 0.68466 7.70% 57.5 201s
39616 7352 0.65416 47 162 0.63574 0.68412 7.61% 57.7 205s
40681 7440 infeasible 32 0.63574 0.68322 7.47% 58.1 210s
41475 7474 0.66670 34 174 0.63574 0.68265 7.38% 58.2 215s
42624 7527 0.64515 31 162 0.63574 0.68173 7.23% 58.6 221s
43447 7615 0.66104 46 149 0.63574 0.68134 7.17% 58.7 225s
44680 7748 cutoff 53 0.63574 0.68039 7.02% 58.8 231s
45520 7841 0.65236 34 175 0.63574 0.67988 6.94% 58.8 235s
46846 7984 cutoff 36 0.63574 0.67926 6.85% 58.8 241s
47608 8046 cutoff 36 0.63574 0.67870 6.76% 58.9 245s
48404 8130 cutoff 61 0.63574 0.67827 6.69% 59.0 251s
48877 8125 0.65497 40 155 0.63574 0.67787 6.63% 59.1 256s
49740 8172 infeasible 30 0.63574 0.67732 6.54% 59.2 260s
51115 8340 0.65819 33 159 0.63574 0.67664 6.43% 59.1 266s
51965 8377 0.64695 34 137 0.63574 0.67602 6.34% 59.1 270s
52857 8491 cutoff 28 0.63574 0.67561 6.27% 59.1 275s
54144 8625 0.65101 32 158 0.63574 0.67509 6.19% 59.0 281s
55092 8729 0.64971 34 164 0.63574 0.67463 6.12% 58.8 285s
55898 8794 0.65653 35 166 0.63574 0.67425 6.06% 58.8 290s
57178 8818 cutoff 58 0.63574 0.67349 5.94% 58.9 296s
58077 8927 0.64084 33 156 0.63574 0.67302 5.86% 58.8 300s
59408 9046 0.65890 34 171 0.63574 0.67241 5.77% 58.8 306s
60250 9116 0.65406 47 126 0.63574 0.67200 5.70% 58.7 310s
61122 9174 infeasible 43 0.63574 0.67158 5.64% 58.7 315s
62504 9315 cutoff 62 0.63574 0.67112 5.57% 58.5 320s
63835 9460 0.65479 41 153 0.63574 0.67058 5.48% 58.4 326s
64643 9476 0.66496 54 116 0.63574 0.67037 5.45% 58.3 330s
65850 9586 0.64831 70 105 0.63574 0.66990 5.37% 58.2 336s
66753 9724 0.63988 41 161 0.63574 0.66964 5.33% 58.1 340s
68026 9839 cutoff 46 0.63574 0.66917 5.26% 58.0 346s
68457 9887 0.65647 38 146 0.63574 0.66901 5.23% 57.9 351s
69313 9979 0.65452 38 151 0.63574 0.66873 5.19% 57.8 355s
70728 10148 infeasible 45 0.63574 0.66837 5.13% 57.6 361s
71593 10237 0.64995 36 147 0.63574 0.66806 5.08% 57.6 365s
72938 10376 infeasible 38 0.63574 0.66768 5.02% 57.5 371s
73883 10467 0.64828 34 153 0.63574 0.66746 4.99% 57.4 375s
75305 10593 0.66485 53 114 0.63574 0.66707 4.93% 57.2 381s
76579 10677 0.64317 35 161 0.63574 0.66666 4.86% 57.1 386s
77308 10718 cutoff 38 0.63574 0.66647 4.83% 57.1 390s
78622 10779 0.63684 46 149 0.63574 0.66605 4.77% 57.0 396s
79499 10849 0.65878 37 157 0.63574 0.66576 4.72% 56.9 400s
80901 11012 0.64245 52 124 0.63574 0.66541 4.67% 56.7 405s
82229 11160 cutoff 35 0.63574 0.66504 4.61% 56.6 412s
83122 11194 cutoff 50 0.63574 0.66479 4.57% 56.5 415s
84564 11378 0.64102 65 138 0.63574 0.66446 4.52% 56.3 421s
85557 11516 0.65656 49 134 0.63574 0.66426 4.49% 56.1 425s
86842 11601 0.64355 35 159 0.63574 0.66388 4.43% 56.0 430s
88142 11644 cutoff 49 0.63574 0.66350 4.37% 55.9 436s
89383 11656 0.64331 39 146 0.63574 0.66320 4.32% 55.8 441s
90182 11731 0.64876 42 165 0.63574 0.66301 4.29% 55.8 447s
90637 11699 0.64229 48 143 0.63574 0.66287 4.27% 55.8 451s
91593 11775 0.65461 46 134 0.63574 0.66266 4.23% 55.6 455s
92723 11824 cutoff 52 0.63574 0.66233 4.18% 55.6 460s
93987 11851 0.64596 64 143 0.63574 0.66198 4.13% 55.5 465s
H95208 11920 0.6357403 0.66163 4.07% 55.5 471s
96364 11921 0.63993 44 140 0.63574 0.66135 4.03% 55.4 476s
97237 11975 cutoff 39 0.63574 0.66112 3.99% 55.3 480s
98536 12043 0.65184 45 138 0.63574 0.66084 3.95% 55.2 485s
99914 12083 0.65453 48 128 0.63574 0.66055 3.90% 55.1 491s
100351 12097 0.64570 56 147 0.63574 0.66043 3.88% 55.1 496s
101668 12091 0.65481 38 158 0.63574 0.66011 3.83% 55.0 501s
102573 12118 0.65252 42 142 0.63574 0.65991 3.80% 54.9 505s
103908 12163 cutoff 32 0.63574 0.65960 3.75% 54.9 510s
105209 12136 0.65642 57 132 0.63574 0.65927 3.70% 54.8 515s
106523 12132 0.65010 37 158 0.63574 0.65896 3.65% 54.7 521s
107841 12114 0.64317 39 148 0.63574 0.65864 3.60% 54.6 526s
108666 12115 0.65410 59 140 0.63574 0.65844 3.57% 54.6 530s
109915 12079 cutoff 40 0.63574 0.65804 3.51% 54.5 536s
111265 12069 0.65334 35 171 0.63574 0.65776 3.46% 54.4 541s
112225 12130 0.65084 37 164 0.63574 0.65759 3.44% 54.3 545s
113476 12100 0.65374 51 136 0.63574 0.65728 3.39% 54.3 550s
114855 12113 cutoff 32 0.63574 0.65696 3.34% 54.1 555s
116237 12111 0.63941 50 125 0.63574 0.65669 3.30% 54.0 560s
117448 12074 infeasible 32 0.63574 0.65635 3.24% 54.0 566s
118855 12080 0.65105 45 116 0.63574 0.65603 3.19% 53.8 571s
120216 12070 cutoff 37 0.63574 0.65569 3.14% 53.7 576s
121543 12103 0.64116 49 134 0.63574 0.65539 3.09% 53.6 581s
122500 12148 0.65201 60 115 0.63574 0.65523 3.07% 53.5 585s
123891 12190 cutoff 49 0.63574 0.65497 3.02% 53.3 590s
125125 12147 cutoff 57 0.63574 0.65471 2.98% 53.3 595s
126460 12143 cutoff 61 0.63574 0.65450 2.95% 53.2 600s
Cutting planes:
Gomory: 180
Cover: 4
Implied bound: 71
Projected implied bound: 60
Clique: 2
MIR: 38
Flow cover: 215
GUB cover: 1
Inf proof: 405
Explored 126880 nodes (6749634 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.63574 0.63574 0.63574
Time limit reached
Best objective 6.357403345469e-01, best bound 6.544979451249e-01, gap 2.9505%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3jkjqmfn.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpstvfck15.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.625977
Presolve removed 816 rows and 528 columns
Presolve time: 0.03s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 8.521696e-01, 1231 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85217 0 129 0.62598 0.85217 36.1% - 0s
0 0 0.82146 0 123 0.62598 0.82146 31.2% - 0s
0 0 0.82145 0 123 0.62598 0.82145 31.2% - 0s
0 0 0.81735 0 135 0.62598 0.81735 30.6% - 0s
0 0 0.81718 0 139 0.62598 0.81718 30.5% - 0s
0 0 0.81454 0 139 0.62598 0.81454 30.1% - 0s
0 0 0.81453 0 139 0.62598 0.81453 30.1% - 0s
0 0 0.81452 0 139 0.62598 0.81452 30.1% - 0s
0 0 0.81452 0 139 0.62598 0.81452 30.1% - 0s
0 0 0.81452 0 124 0.62598 0.81452 30.1% - 0s
0 2 0.81452 0 122 0.62598 0.81452 30.1% - 0s
760 549 infeasible 19 0.62598 0.76979 23.0% 25.4 5s
2196 922 0.63781 43 147 0.62598 0.76216 21.8% 31.9 10s
H 2202 893 0.6259772 0.76152 21.7% 31.9 10s
H 3649 1762 0.6259772 0.75086 19.9% 32.6 14s
3740 1833 0.69785 26 141 0.62598 0.75037 19.9% 32.7 15s
4698 2360 cutoff 35 0.62598 0.74566 19.1% 33.8 20s
6699 3380 0.70800 31 150 0.62598 0.73972 18.2% 33.9 25s
8267 4013 0.66849 36 142 0.62598 0.73548 17.5% 35.4 30s
9402 4472 0.64978 48 126 0.62598 0.73361 17.2% 36.2 35s
10919 4937 0.63393 36 133 0.62598 0.72954 16.5% 37.4 40s
12215 5382 0.63450 36 148 0.62598 0.72694 16.1% 38.4 45s
12976 5586 cutoff 40 0.62598 0.72572 15.9% 38.8 50s
14281 5961 cutoff 31 0.62598 0.72381 15.6% 39.8 55s
15718 6352 0.66149 36 139 0.62598 0.72213 15.4% 40.5 60s
H16401 6543 0.6259772 0.72110 15.2% 41.0 63s
16744 6615 0.68399 29 151 0.62598 0.72034 15.1% 41.2 66s
17878 7007 cutoff 35 0.62598 0.71888 14.8% 41.5 70s
19325 7405 0.69167 34 156 0.62598 0.71698 14.5% 42.3 75s
20833 7852 0.63536 46 124 0.62598 0.71538 14.3% 42.8 98s
20842 7858 0.63603 51 199 0.62598 0.71538 14.3% 42.8 100s
20848 7862 0.64224 34 217 0.62598 0.71538 14.3% 42.8 106s
20853 7865 0.69185 32 235 0.62598 0.71538 14.3% 42.8 111s
20857 7868 0.70392 27 247 0.62598 0.71538 14.3% 42.8 115s
20861 7871 0.65995 40 246 0.62598 0.71538 14.3% 42.8 120s
20866 7874 0.64571 45 250 0.62598 0.71538 14.3% 42.8 125s
20871 7877 0.70654 29 254 0.62598 0.71538 14.3% 42.7 131s
20876 7881 0.64413 51 248 0.62598 0.71538 14.3% 42.7 135s
20879 7883 0.67241 32 237 0.62598 0.71538 14.3% 42.7 140s
20885 7887 0.65937 41 250 0.62598 0.71538 14.3% 42.7 145s
20891 7891 0.70410 37 263 0.62598 0.71538 14.3% 42.7 150s
20895 7893 0.65311 31 253 0.62598 0.71538 14.3% 42.7 155s
20899 7896 0.69314 38 247 0.62598 0.71538 14.3% 42.7 160s
20904 7899 0.71430 37 275 0.62598 0.71538 14.3% 42.7 165s
20907 7901 0.64426 47 247 0.62598 0.71538 14.3% 42.7 170s
20913 7905 0.68370 32 261 0.62598 0.71538 14.3% 42.7 175s
H20914 7509 0.6259772 0.71538 14.3% 42.7 178s
20917 7511 0.71116 38 269 0.62598 0.71538 14.3% 42.7 181s
20920 7513 0.64552 49 266 0.62598 0.71538 14.3% 42.6 185s
20923 7515 0.64273 48 265 0.62598 0.71538 14.3% 42.6 190s
20927 7518 0.69101 47 271 0.62598 0.71538 14.3% 42.6 195s
20931 7520 0.63969 32 282 0.62598 0.71538 14.3% 42.6 200s
20935 7523 0.68337 43 287 0.62598 0.71525 14.3% 42.6 205s
20941 7527 0.64463 45 284 0.62598 0.71523 14.3% 42.6 210s
20946 7530 0.63895 50 282 0.62598 0.71521 14.3% 42.6 215s
20951 7534 0.64077 36 273 0.62598 0.71515 14.2% 42.6 220s
20955 7536 0.65916 34 272 0.62598 0.71510 14.2% 42.6 225s
20959 7539 0.69756 36 281 0.62598 0.71510 14.2% 42.6 231s
20961 7540 0.65995 40 275 0.62598 0.71510 14.2% 42.6 235s
20965 7546 0.71398 30 254 0.62598 0.71510 14.2% 44.3 248s
20967 7547 0.70124 31 265 0.62598 0.71392 14.0% 44.3 254s
20971 7547 infeasible 32 0.62598 0.71276 13.9% 44.4 256s
20983 7549 0.69776 35 280 0.62598 0.71075 13.5% 44.5 260s
21026 7562 0.67610 43 206 0.62598 0.71075 13.5% 44.6 265s
21204 7608 0.67444 56 210 0.62598 0.70349 12.4% 45.1 270s
21686 7806 0.67875 46 242 0.62598 0.69941 11.7% 45.2 275s
21951 7855 0.63720 44 214 0.62598 0.69776 11.5% 45.8 280s
22292 7906 0.66850 49 232 0.62598 0.69407 10.9% 46.8 285s
22646 8028 0.66429 64 212 0.62598 0.69307 10.7% 47.5 290s
23015 8134 0.64786 44 246 0.62598 0.69075 10.3% 48.6 295s
23295 8215 cutoff 59 0.62598 0.68937 10.1% 49.4 301s
23519 8244 0.64016 43 230 0.62598 0.68894 10.1% 50.3 305s
23754 8296 0.67538 43 258 0.62598 0.68843 10.0% 51.5 310s
23995 8324 0.65846 45 219 0.62598 0.68753 9.83% 52.5 315s
24451 8447 0.67240 44 213 0.62598 0.68645 9.66% 53.5 321s
24733 8490 0.63535 58 193 0.62598 0.68584 9.56% 54.5 326s
25031 8534 0.65550 68 187 0.62598 0.68546 9.50% 55.4 331s
25316 8599 0.65705 46 212 0.62598 0.68458 9.36% 56.3 336s
25599 8623 cutoff 64 0.62598 0.68356 9.20% 57.2 342s
25779 8622 0.64088 42 230 0.62598 0.68305 9.12% 57.8 345s
26152 8699 0.64094 51 216 0.62598 0.68268 9.06% 58.9 359s
26169 8685 cutoff 52 0.62598 0.68262 9.05% 58.9 362s
26409 8759 cutoff 49 0.62598 0.68232 9.00% 59.5 366s
26797 8770 0.66382 46 226 0.62598 0.68165 8.89% 61.0 372s
27012 8801 0.64289 45 217 0.62598 0.68143 8.86% 61.7 376s
27313 8904 cutoff 69 0.62598 0.68097 8.79% 62.2 380s
27825 9025 0.67243 47 225 0.62598 0.68033 8.68% 63.6 388s
28161 9089 0.65219 48 195 0.62598 0.68004 8.64% 64.2 392s
28281 9090 0.64360 44 216 0.62598 0.67977 8.59% 64.6 397s
28612 9164 0.64817 47 222 0.62598 0.67929 8.52% 65.3 402s
28894 9198 cutoff 44 0.62598 0.67920 8.50% 66.2 407s
29203 9225 0.67132 48 190 0.62598 0.67887 8.45% 67.0 412s
29454 9256 0.66864 48 235 0.62598 0.67864 8.41% 68.1 417s
29754 9268 0.67051 45 210 0.62598 0.67852 8.39% 68.8 422s
30068 9314 0.63647 59 178 0.62598 0.67825 8.35% 69.8 429s
30409 9347 0.63024 48 209 0.62598 0.67790 8.30% 70.7 434s
30735 9381 0.66220 51 194 0.62598 0.67763 8.25% 71.8 441s
31180 9461 0.66769 49 199 0.62598 0.67733 8.20% 72.7 447s
31551 9498 0.62748 55 167 0.62598 0.67692 8.14% 73.7 453s
31854 9547 0.66587 46 210 0.62598 0.67675 8.11% 74.4 459s
32272 9612 0.65318 60 201 0.62598 0.67654 8.08% 75.2 465s
32727 9684 0.63126 53 184 0.62598 0.67617 8.02% 75.9 471s
32994 9694 0.64779 50 205 0.62598 0.67589 7.97% 76.8 477s
33343 9755 0.64597 51 204 0.62598 0.67566 7.94% 77.7 483s
33685 9787 0.63141 58 163 0.62598 0.67549 7.91% 78.7 492s
H33720 9400 0.6259772 0.67549 7.91% 78.9 492s
33793 9389 0.66410 44 217 0.62598 0.67539 7.89% 79.1 498s
34169 9455 cutoff 59 0.62598 0.67506 7.84% 80.0 504s
34527 9540 0.64905 57 183 0.62598 0.67482 7.80% 80.9 519s
34597 9525 0.64568 52 212 0.62598 0.67481 7.80% 80.9 526s
34871 9526 0.65062 47 221 0.62598 0.67457 7.76% 82.0 532s
35193 9566 0.63410 55 197 0.62598 0.67437 7.73% 82.7 538s
35475 9548 0.63093 49 204 0.62598 0.67415 7.70% 84.0 545s
35825 9563 cutoff 55 0.62598 0.67375 7.63% 85.0 552s
36097 9564 0.65343 44 223 0.62598 0.67357 7.60% 85.9 559s
36514 9589 0.63966 48 223 0.62598 0.67336 7.57% 86.6 566s
36902 9583 0.65442 47 203 0.62598 0.67304 7.52% 87.5 573s
37405 9654 infeasible 58 0.62598 0.67287 7.49% 88.1 580s
37831 9702 0.65839 47 231 0.62598 0.67252 7.44% 88.8 587s
38148 9707 0.64020 49 213 0.62598 0.67234 7.41% 89.8 594s
38505 9730 0.63460 52 200 0.62598 0.67217 7.38% 90.7 600s
Cutting planes:
Gomory: 199
Cover: 10
Implied bound: 37
Projected implied bound: 62
Clique: 1
MIR: 175
StrongCG: 5
Flow cover: 552
Inf proof: 67
Explored 38795 nodes (3554411 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.625977 0.625977 0.625977 ... 0.625977
Time limit reached
Best objective 6.259772095187e-01, best bound 6.720642514311e-01, gap 7.3624%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3bau3roz.pyomo.lp
Reading time = 0.01 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbcwqzyyk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.62132
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 8.435257e-01, 1332 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.84353 0 133 0.62132 0.84353 35.8% - 0s
0 0 0.81504 0 138 0.62132 0.81504 31.2% - 0s
0 0 0.81502 0 134 0.62132 0.81502 31.2% - 0s
0 0 0.80957 0 140 0.62132 0.80957 30.3% - 0s
0 0 0.80875 0 144 0.62132 0.80875 30.2% - 0s
0 0 0.80704 0 144 0.62132 0.80704 29.9% - 0s
0 0 0.80649 0 141 0.62132 0.80649 29.8% - 0s
0 0 0.80613 0 154 0.62132 0.80613 29.7% - 0s
0 0 0.80612 0 156 0.62132 0.80612 29.7% - 0s
0 0 0.80607 0 160 0.62132 0.80607 29.7% - 0s
0 0 0.80602 0 155 0.62132 0.80602 29.7% - 0s
0 0 0.80593 0 158 0.62132 0.80593 29.7% - 0s
0 0 0.80593 0 144 0.62132 0.80593 29.7% - 0s
0 2 0.80593 0 143 0.62132 0.80593 29.7% - 0s
749 522 0.76676 14 143 0.62132 0.76676 23.4% 25.9 5s
2157 804 0.73708 26 137 0.62132 0.73991 19.1% 32.6 10s
3842 1440 0.67017 29 140 0.62132 0.72256 16.3% 34.7 15s
4849 1794 cutoff 44 0.62132 0.71729 15.4% 35.7 20s
6319 2263 0.68646 31 157 0.62132 0.70968 14.2% 37.2 25s
8145 2876 cutoff 42 0.62132 0.70259 13.1% 37.2 30s
10395 3586 0.63780 40 140 0.62132 0.69561 12.0% 36.7 35s
11913 3909 0.68601 36 128 0.62132 0.69059 11.1% 36.5 40s
H12863 4239 0.6213201 0.68938 11.0% 36.2 42s
14016 4564 0.66821 34 134 0.62132 0.68712 10.6% 35.6 45s
15021 4879 0.65095 47 131 0.62132 0.68547 10.3% 35.2 50s
16453 5314 0.62499 41 124 0.62132 0.68391 10.1% 35.1 55s
18361 5767 cutoff 47 0.62132 0.68215 9.79% 34.8 60s
20494 6482 0.64725 74 114 0.62132 0.68057 9.54% 34.4 65s
21059 6760 0.62513 53 144 0.62132 0.68035 9.50% 34.2 85s
H21070 6428 0.6213201 0.68035 9.50% 34.2 91s
21076 6432 0.63555 50 259 0.62132 0.68035 9.50% 34.2 95s
21080 6435 0.64844 43 254 0.62132 0.68035 9.50% 34.2 100s
21087 6440 0.66729 52 266 0.62132 0.68035 9.50% 34.2 105s
21091 6442 0.64097 46 240 0.62132 0.68035 9.50% 34.2 111s
21096 6446 0.64964 75 267 0.62132 0.68035 9.50% 34.2 116s
21099 6448 0.63257 97 279 0.62132 0.68035 9.50% 34.1 120s
21105 6452 0.67039 40 266 0.62132 0.68035 9.50% 34.1 125s
21111 6456 0.66862 37 271 0.62132 0.68035 9.50% 34.1 130s
21117 6460 0.66193 62 274 0.62132 0.68035 9.50% 34.1 135s
21122 6463 0.66308 53 257 0.62132 0.68035 9.50% 34.1 140s
21127 6466 0.64445 69 272 0.62132 0.68035 9.50% 34.1 146s
21131 6469 0.66587 44 283 0.62132 0.68035 9.50% 34.1 150s
21135 6472 0.65442 33 269 0.62132 0.68035 9.50% 34.1 155s
21139 6474 0.67165 57 269 0.62132 0.68035 9.50% 34.1 160s
21142 6476 0.66730 38 282 0.62132 0.68035 9.50% 34.1 165s
21147 6480 0.67644 52 283 0.62132 0.68035 9.50% 34.1 170s
21150 6482 0.65639 38 260 0.62132 0.68035 9.50% 34.1 175s
21157 6486 0.63447 51 259 0.62132 0.68035 9.50% 34.1 181s
21160 6488 0.67821 51 276 0.62132 0.68035 9.50% 34.0 185s
21165 6492 0.62740 65 266 0.62132 0.68035 9.50% 34.0 190s
21169 6494 0.66374 60 282 0.62132 0.68035 9.50% 34.0 195s
21173 6497 0.66501 39 281 0.62132 0.68035 9.50% 34.0 200s
21177 6500 0.64975 47 242 0.62132 0.68035 9.50% 34.0 206s
21183 6504 0.64866 43 264 0.62132 0.68035 9.50% 34.0 213s
21185 6505 0.62842 66 269 0.62132 0.68035 9.50% 34.0 216s
21187 6506 0.66729 52 270 0.62132 0.68035 9.50% 34.0 220s
21191 6509 0.64097 46 283 0.62132 0.68035 9.50% 34.0 225s
21196 6512 0.64964 75 287 0.62132 0.68035 9.50% 34.0 230s
21201 6516 0.63332 86 282 0.62132 0.68035 9.50% 34.0 235s
21207 6520 0.65633 33 286 0.62132 0.68035 9.50% 34.0 240s
21211 6522 0.66862 37 282 0.62132 0.68035 9.50% 34.0 245s
21216 6526 0.65793 37 285 0.62132 0.68035 9.50% 34.0 250s
21221 6529 0.63646 32 278 0.62132 0.68035 9.50% 34.0 256s
21225 6532 0.66120 59 279 0.62132 0.68035 9.50% 33.9 261s
21230 6535 0.62265 102 280 0.62132 0.68035 9.50% 33.9 265s
21235 6538 0.65442 33 276 0.62132 0.68035 9.50% 33.9 270s
21241 6542 0.63702 50 271 0.62132 0.68035 9.50% 33.9 275s
21244 6544 0.62661 58 285 0.62132 0.68035 9.50% 33.9 280s
21249 6548 0.67203 55 282 0.62132 0.68035 9.50% 33.9 285s
21255 6552 0.67989 46 273 0.62132 0.68035 9.50% 33.9 290s
21260 6555 0.67821 51 285 0.62132 0.68035 9.50% 33.9 295s
21265 6558 0.62740 65 283 0.62132 0.68035 9.50% 33.9 300s
21271 6562 0.64541 48 284 0.62132 0.68035 9.50% 33.9 305s
21277 6566 0.64975 47 274 0.62132 0.68035 9.50% 33.9 311s
21279 6569 0.68035 25 264 0.62132 0.68035 9.50% 36.5 319s
21281 6568 infeasible 26 0.62132 0.68035 9.50% 36.6 323s
21283 6567 0.68035 27 258 0.62132 0.68035 9.50% 36.6 328s
21285 6567 0.66086 28 245 0.62132 0.68035 9.50% 36.6 335s
21294 6566 infeasible 32 0.62132 0.68035 9.50% 36.7 340s
21364 6599 0.67192 48 219 0.62132 0.68035 9.50% 37.0 345s
21599 6682 0.63139 44 193 0.62132 0.68035 9.50% 37.7 350s
21890 6718 cutoff 44 0.62132 0.68035 9.50% 38.7 355s
22189 6774 0.64184 61 197 0.62132 0.68035 9.50% 40.1 360s
22469 6858 0.67519 39 247 0.62132 0.68035 9.50% 41.6 365s
22750 6911 0.64802 46 210 0.62132 0.68035 9.50% 43.1 372s
22895 6942 0.66105 47 209 0.62132 0.68035 9.50% 43.6 375s
23263 7021 0.67713 40 249 0.62132 0.68035 9.50% 44.8 380s
23537 7059 0.63707 60 170 0.62132 0.68035 9.50% 45.9 385s
23838 7099 cutoff 45 0.62132 0.67998 9.44% 47.6 391s
24029 7124 0.62702 50 197 0.62132 0.67920 9.32% 48.5 395s
24325 7171 0.62965 62 173 0.62132 0.67800 9.12% 49.4 400s
24686 7188 0.65967 43 228 0.62132 0.67666 8.91% 51.3 406s
24993 7226 0.64129 43 215 0.62132 0.67602 8.80% 52.4 411s
25310 7261 0.66299 49 231 0.62132 0.67512 8.66% 53.8 417s
25453 7261 cutoff 60 0.62132 0.67512 8.66% 54.5 420s
25584 7263 0.64698 43 237 0.62132 0.67433 8.53% 55.4 425s
25817 7285 0.62790 48 216 0.62132 0.67355 8.41% 56.1 431s
26213 7302 0.66970 44 233 0.62132 0.67282 8.29% 57.7 438s
26418 7324 0.64368 60 198 0.62132 0.67282 8.29% 58.6 449s
26532 7330 0.63690 77 174 0.62132 0.67193 8.15% 59.0 453s
26713 7345 cutoff 48 0.62132 0.67145 8.07% 60.0 457s
26921 7355 0.64393 42 215 0.62132 0.67109 8.01% 60.9 461s
27097 7362 0.66046 52 214 0.62132 0.67070 7.95% 61.7 465s
27327 7345 0.62424 61 186 0.62132 0.67047 7.91% 62.6 470s
27985 7450 0.63180 54 214 0.62132 0.66941 7.74% 64.3 479s
28256 7439 cutoff 50 0.62132 0.66884 7.65% 65.3 483s
28513 7433 0.64406 48 228 0.62132 0.66825 7.55% 66.4 488s
28754 7423 cutoff 41 0.62132 0.66777 7.48% 67.6 493s
29028 7445 0.63701 44 220 0.62132 0.66727 7.40% 68.6 498s
29160 7431 0.63443 57 199 0.62132 0.66713 7.37% 69.2 504s
29418 7418 cutoff 53 0.62132 0.66683 7.32% 70.5 509s
29691 7403 0.65038 76 166 0.62132 0.66650 7.27% 71.8 515s
30050 7417 0.64540 53 226 0.62132 0.66620 7.22% 72.9 521s
30351 7403 0.65192 50 206 0.62132 0.66590 7.17% 74.0 527s
30605 7361 cutoff 60 0.62132 0.66540 7.09% 75.6 534s
30908 7309 0.63891 52 196 0.62132 0.66504 7.04% 76.9 541s
31393 7335 cutoff 54 0.62132 0.66464 6.97% 78.0 548s
31782 7335 0.63378 49 227 0.62132 0.66395 6.86% 79.3 555s
32139 7330 0.64387 57 211 0.62132 0.66359 6.80% 80.6 563s
32345 7304 cutoff 68 0.62132 0.66339 6.77% 81.6 571s
32740 7275 0.63074 54 188 0.62132 0.66310 6.72% 82.9 578s
33136 7262 0.65037 57 218 0.62132 0.66265 6.65% 84.1 585s
33523 7259 cutoff 66 0.62132 0.66224 6.59% 85.3 592s
33877 7244 infeasible 46 0.62132 0.66172 6.50% 86.6 600s
Cutting planes:
Gomory: 190
Cover: 7
Implied bound: 30
Projected implied bound: 72
Clique: 1
MIR: 242
StrongCG: 4
Flow cover: 663
Inf proof: 64
Explored 33926 nodes (2943536 simplex iterations) in 600.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.62132 0.62132 0.62132
Time limit reached
Warning: max constraint violation (7.9563e-06) exceeds tolerance
Best objective 6.213200909494e-01, best bound 6.616885341023e-01, gap 6.4972%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqhnulbu1.pyomo.lp
Reading time = 0.01 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp9zd_s9s0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.611417
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.283108e-01, 1291 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.82831 0 128 0.61142 0.82831 35.5% - 0s
0 0 0.79971 0 126 0.61142 0.79971 30.8% - 0s
0 0 0.79971 0 126 0.61142 0.79971 30.8% - 0s
0 0 0.79437 0 138 0.61142 0.79437 29.9% - 0s
0 0 0.79424 0 138 0.61142 0.79424 29.9% - 0s
0 0 0.79183 0 146 0.61142 0.79183 29.5% - 0s
0 0 0.79163 0 147 0.61142 0.79163 29.5% - 0s
0 0 0.79127 0 147 0.61142 0.79127 29.4% - 0s
0 0 0.79121 0 149 0.61142 0.79121 29.4% - 0s
0 0 0.79084 0 151 0.61142 0.79084 29.3% - 0s
0 0 0.79084 0 151 0.61142 0.79084 29.3% - 0s
0 0 0.79084 0 151 0.61142 0.79084 29.3% - 0s
0 0 0.79084 0 151 0.61142 0.79084 29.3% - 0s
0 0 0.79084 0 144 0.61142 0.79084 29.3% - 0s
0 0 0.79084 0 144 0.61142 0.79084 29.3% - 0s
0 2 0.79084 0 144 0.61142 0.79084 29.3% - 0s
744 558 0.74939 14 150 0.61142 0.75484 23.5% 27.8 5s
2114 1066 0.61398 90 99 0.61142 0.73067 19.5% 30.3 10s
3436 1587 cutoff 35 0.61142 0.71698 17.3% 32.1 15s
H 4183 1920 0.6114174 0.71054 16.2% 32.6 19s
4294 1933 0.62193 40 131 0.61142 0.71001 16.1% 32.7 20s
5549 2248 cutoff 44 0.61142 0.70447 15.2% 34.9 25s
7187 2872 0.66294 31 138 0.61142 0.69800 14.2% 35.2 30s
H 7807 3068 0.6114174 0.69644 13.9% 35.4 32s
8552 3365 cutoff 40 0.61142 0.69426 13.5% 35.4 35s
9691 3738 0.65040 30 133 0.61142 0.69267 13.3% 35.7 40s
10924 4198 0.64443 33 137 0.61142 0.68935 12.7% 35.1 45s
12717 4887 0.67191 27 146 0.61142 0.68680 12.3% 35.0 50s
14384 5478 0.67325 30 143 0.61142 0.68515 12.1% 35.1 55s
15821 5949 0.63478 44 134 0.61142 0.68346 11.8% 35.4 60s
17410 6408 0.65807 39 143 0.61142 0.68200 11.5% 35.5 65s
19129 6933 0.62031 42 145 0.61142 0.68044 11.3% 35.4 70s
20535 7292 cutoff 42 0.61142 0.67910 11.1% 35.6 75s
20895 7377 0.61210 113 144 0.61142 0.67890 11.0% 35.6 93s
20902 7382 0.66343 36 233 0.61142 0.67890 11.0% 35.6 95s
20911 7388 0.62452 57 216 0.61142 0.67890 11.0% 35.6 100s
20916 7391 0.66452 38 226 0.61142 0.67890 11.0% 35.6 105s
20921 7394 0.67721 30 233 0.61142 0.67890 11.0% 35.6 110s
20928 7399 0.63310 52 245 0.61142 0.67890 11.0% 35.6 115s
20932 7402 0.64062 72 249 0.61142 0.67890 11.0% 35.6 120s
20937 7405 0.63878 44 237 0.61142 0.67890 11.0% 35.6 126s
20942 7408 0.65961 34 253 0.61142 0.67890 11.0% 35.6 130s
20948 7412 0.67685 26 245 0.61142 0.67890 11.0% 35.5 135s
20954 7416 0.62653 51 248 0.61142 0.67890 11.0% 35.5 140s
20960 7420 0.66586 36 248 0.61142 0.67890 11.0% 35.5 145s
20966 7424 0.63142 48 255 0.61142 0.67890 11.0% 35.5 150s
20972 7428 0.62959 46 253 0.61142 0.67890 11.0% 35.5 155s
20978 7432 0.65504 38 257 0.61142 0.67890 11.0% 35.5 160s
20984 7436 0.66438 27 261 0.61142 0.67890 11.0% 35.5 165s
20990 7440 0.64062 33 261 0.61142 0.67890 11.0% 35.5 170s
20996 7444 0.61989 99 260 0.61142 0.67890 11.0% 35.5 175s
21001 7448 0.67342 35 265 0.61142 0.67890 11.0% 35.5 180s
21007 7452 0.62855 59 264 0.61142 0.67890 11.0% 35.4 185s
21013 7456 0.64606 37 271 0.61142 0.67890 11.0% 35.4 190s
21018 7459 0.67234 31 267 0.61142 0.67890 11.0% 35.4 195s
21023 7462 0.62346 52 270 0.61142 0.67890 11.0% 35.4 200s
21028 7466 0.63310 52 263 0.61142 0.67890 11.0% 35.4 206s
21032 7468 0.64062 72 258 0.61142 0.67890 11.0% 35.4 210s
21037 7472 0.63878 44 267 0.61142 0.67890 11.0% 35.4 215s
21041 7474 0.65184 47 260 0.61142 0.67890 11.0% 35.4 220s
21044 7476 0.61349 30 267 0.61142 0.67890 11.0% 35.4 225s
21050 7480 0.67349 29 265 0.61142 0.67890 11.0% 35.4 231s
21054 7483 0.62653 51 269 0.61142 0.67890 11.0% 35.4 235s
21060 7487 0.66586 36 262 0.61142 0.67890 11.0% 35.4 241s
21064 7490 0.63735 43 274 0.61142 0.67890 11.0% 35.4 245s
21070 7494 0.65856 42 277 0.61142 0.67890 11.0% 35.3 250s
21073 7496 0.61915 56 275 0.61142 0.67890 11.0% 35.3 255s
21075 7500 0.67890 27 270 0.61142 0.67890 11.0% 36.4 261s
21077 7498 infeasible 28 0.61142 0.67890 11.0% 36.4 267s
21081 7497 0.67890 29 256 0.61142 0.67890 11.0% 36.5 274s
21084 7497 0.67890 30 265 0.61142 0.67890 11.0% 36.6 275s
21138 7518 0.64798 41 190 0.61142 0.67890 11.0% 37.1 280s
21325 7524 0.67890 37 236 0.61142 0.67890 11.0% 38.1 285s
21553 7581 0.64958 45 209 0.61142 0.67890 11.0% 39.3 290s
21797 7625 0.67577 36 231 0.61142 0.67890 11.0% 40.6 295s
22094 7684 0.65235 40 205 0.61142 0.67890 11.0% 42.3 300s
22369 7743 0.67310 43 217 0.61142 0.67890 11.0% 44.0 305s
22624 7782 0.61838 52 173 0.61142 0.67890 11.0% 45.3 310s
22908 7818 0.61280 52 170 0.61142 0.67890 11.0% 46.8 315s
23172 7874 0.61143 51 176 0.61142 0.67890 11.0% 48.1 320s
23450 7956 0.61501 51 188 0.61142 0.67863 11.0% 49.6 326s
23673 7970 0.61765 52 204 0.61142 0.67796 10.9% 50.5 330s
24080 8076 0.66622 41 229 0.61142 0.67720 10.8% 52.2 337s
24272 8098 0.62229 49 189 0.61142 0.67651 10.6% 53.6 341s
24492 8119 0.65310 37 215 0.61142 0.67609 10.6% 54.9 346s
24665 8138 0.64447 42 201 0.61142 0.67553 10.5% 56.4 352s
24952 8149 0.62701 41 197 0.61142 0.67480 10.4% 58.1 357s
25088 8152 0.63368 47 217 0.61142 0.67407 10.2% 59.0 360s
25374 8188 cutoff 53 0.61142 0.67275 10.0% 60.9 366s
25513 8169 0.64196 46 223 0.61142 0.67208 9.92% 61.9 370s
25838 8175 cutoff 46 0.61142 0.67027 9.62% 63.9 377s
25978 8172 infeasible 46 0.61142 0.66959 9.51% 65.1 380s
26070 8163 cutoff 41 0.61142 0.66912 9.44% 65.6 385s
26433 8202 0.61253 49 169 0.61142 0.66799 9.25% 67.9 393s
26576 8190 0.63016 43 216 0.61142 0.66692 9.08% 69.0 397s
26718 8203 0.64913 39 228 0.61142 0.66665 9.03% 70.2 402s
26883 8209 0.63546 42 217 0.61142 0.66591 8.91% 71.4 407s
27161 8230 0.63049 45 190 0.61142 0.66534 8.82% 72.4 411s
27444 8232 cutoff 48 0.61142 0.66482 8.73% 73.5 416s
27757 8283 0.65054 48 207 0.61142 0.66428 8.65% 74.7 422s
27987 8304 0.63159 40 212 0.61142 0.66368 8.55% 76.0 427s
28190 8320 cutoff 43 0.61142 0.66338 8.50% 77.0 433s
28484 8313 0.64093 42 210 0.61142 0.66289 8.42% 78.3 439s
28785 8324 0.62691 68 159 0.61142 0.66223 8.31% 79.5 445s
29100 8329 0.63913 66 162 0.61142 0.66153 8.20% 80.8 452s
29495 8357 0.63970 45 192 0.61142 0.66017 7.97% 82.1 459s
29814 8372 0.63778 41 218 0.61142 0.65891 7.77% 83.6 466s
30162 8366 0.62273 48 182 0.61142 0.65845 7.69% 85.0 473s
30673 8392 0.63240 47 191 0.61142 0.65785 7.59% 86.2 481s
30916 8368 0.63610 41 202 0.61142 0.65717 7.48% 87.6 488s
31352 8378 0.62799 42 178 0.61142 0.65666 7.40% 88.9 496s
31770 8371 0.61702 53 183 0.61142 0.65558 7.22% 90.3 504s
32208 8358 cutoff 47 0.61142 0.65467 7.07% 91.7 511s
32596 8314 0.62346 47 200 0.61142 0.65383 6.94% 93.3 519s
33068 8292 cutoff 68 0.61142 0.65337 6.86% 94.6 527s
33554 8296 0.64517 46 204 0.61142 0.65294 6.79% 95.7 534s
33827 8270 0.61995 44 187 0.61142 0.65268 6.75% 96.5 542s
34273 8233 0.63559 47 201 0.61142 0.65192 6.62% 97.7 550s
34806 8221 cutoff 39 0.61142 0.65128 6.52% 98.7 557s
35118 8168 0.64212 50 219 0.61142 0.65104 6.48% 100 565s
35537 8174 cutoff 48 0.61142 0.65070 6.42% 101 573s
36089 8240 cutoff 38 0.61142 0.65018 6.34% 102 581s
36692 8285 0.61889 43 214 0.61142 0.64971 6.26% 102 589s
37233 8267 0.61724 62 174 0.61142 0.64911 6.17% 103 597s
37850 8310 0.62238 44 190 0.61142 0.64854 6.07% 104 600s
Cutting planes:
Gomory: 192
Cover: 11
Implied bound: 38
Projected implied bound: 70
Clique: 3
MIR: 221
StrongCG: 1
Flow cover: 733
Inf proof: 61
Zero half: 3
Explored 37993 nodes (3969396 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.611417 0.611417 0.611417
Time limit reached
Warning: max constraint violation (7.4250e-06) exceeds tolerance
Best objective 6.114174361720e-01, best bound 6.484558942728e-01, gap 6.0578%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpznxtzhdz.pyomo.lp
Reading time = 0.01 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_rzb4g9b.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.605238
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 8.143066e-01, 1366 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.81431 0 131 0.60524 0.81431 34.5% - 0s
0 0 0.78540 0 137 0.60524 0.78540 29.8% - 0s
0 0 0.78131 0 136 0.60524 0.78131 29.1% - 0s
0 0 0.78118 0 137 0.60524 0.78118 29.1% - 0s
0 0 0.78098 0 142 0.60524 0.78098 29.0% - 0s
0 0 0.78097 0 143 0.60524 0.78097 29.0% - 0s
0 0 0.78028 0 143 0.60524 0.78028 28.9% - 0s
0 0 0.78025 0 145 0.60524 0.78025 28.9% - 0s
0 0 0.78020 0 142 0.60524 0.78020 28.9% - 0s
0 0 0.78018 0 142 0.60524 0.78018 28.9% - 0s
0 0 0.78018 0 136 0.60524 0.78018 28.9% - 0s
0 2 0.78018 0 134 0.60524 0.78018 28.9% - 0s
763 558 0.72839 10 170 0.60524 0.74420 23.0% 25.2 5s
2048 862 0.62872 33 146 0.60524 0.70837 17.0% 33.7 10s
3073 1200 0.65426 37 152 0.60524 0.69977 15.6% 36.0 15s
4540 1896 0.63316 33 143 0.60524 0.69533 14.9% 36.1 20s
6343 2592 infeasible 50 0.60524 0.68850 13.8% 36.6 25s
7787 2962 0.61303 30 133 0.60524 0.68365 13.0% 37.8 30s
9497 3349 0.61029 28 132 0.60524 0.67918 12.2% 38.5 35s
10144 3447 0.60766 35 132 0.60524 0.67787 12.0% 38.9 40s
11513 3757 0.63355 41 154 0.60524 0.67506 11.5% 39.5 45s
13109 4114 0.64089 30 164 0.60524 0.67199 11.0% 39.8 50s
H13190 4144 0.6052376 0.67196 11.0% 39.8 50s
14293 4343 0.62709 33 165 0.60524 0.67023 10.7% 40.1 55s
15877 4614 0.65581 25 154 0.60524 0.66714 10.2% 40.4 61s
17113 4886 0.62829 32 145 0.60524 0.66540 9.94% 40.4 65s
18709 5239 0.63100 39 132 0.60524 0.66300 9.54% 40.3 70s
20417 5679 0.65375 37 141 0.60524 0.66082 9.18% 40.0 75s
20844 5851 0.64547 31 136 0.60524 0.66039 9.11% 39.9 96s
20855 5858 0.63723 27 229 0.60524 0.66039 9.11% 39.9 100s
20862 5863 0.61040 53 246 0.60524 0.66039 9.11% 39.9 105s
H20867 5572 0.6052376 0.66039 9.11% 39.9 110s
20874 5577 0.63615 31 258 0.60524 0.66039 9.11% 39.9 116s
20877 5579 0.64559 40 271 0.60524 0.66039 9.11% 39.9 120s
20880 5581 0.62098 55 269 0.60524 0.66039 9.11% 39.8 125s
20885 5584 0.65122 37 279 0.60524 0.66039 9.11% 39.8 130s
20891 5588 0.61024 33 277 0.60524 0.66039 9.11% 39.8 135s
20897 5592 0.62921 38 267 0.60524 0.66039 9.11% 39.8 140s
20902 5596 0.65418 27 269 0.60524 0.66039 9.11% 39.8 145s
20907 5599 0.61235 52 280 0.60524 0.66039 9.11% 39.8 150s
20913 5603 0.64728 27 277 0.60524 0.66039 9.11% 39.8 155s
20917 5606 0.62693 52 283 0.60524 0.66039 9.11% 39.8 160s
20921 5608 0.65383 38 288 0.60524 0.66039 9.11% 39.8 165s
20926 5612 0.64793 32 279 0.60524 0.66039 9.11% 39.8 170s
20930 5614 0.65621 26 276 0.60524 0.66039 9.11% 39.8 175s
20935 5618 0.61611 28 300 0.60524 0.66039 9.11% 39.7 180s
20940 5621 0.62082 62 287 0.60524 0.66039 9.11% 39.7 185s
20945 5624 0.62723 45 298 0.60524 0.66039 9.11% 39.7 190s
20950 5628 0.64782 29 300 0.60524 0.66039 9.11% 39.7 195s
20957 5632 0.65647 27 299 0.60524 0.66039 9.11% 39.7 200s
20962 5636 0.61040 53 295 0.60524 0.66039 9.11% 39.7 206s
20965 5638 0.60670 42 304 0.60524 0.66039 9.11% 39.7 210s
20969 5640 0.61501 32 298 0.60524 0.66039 9.11% 39.7 215s
20972 5642 0.61773 38 285 0.60524 0.66039 9.11% 39.7 220s
20977 5646 0.64559 40 300 0.60524 0.66039 9.11% 39.7 225s
20982 5649 0.64126 34 298 0.60524 0.66039 9.11% 39.7 230s
20988 5653 0.64611 40 310 0.60524 0.66039 9.11% 39.6 236s
20993 5656 0.64634 28 317 0.60524 0.66039 9.11% 39.6 240s
20997 5659 0.62921 38 314 0.60524 0.66039 9.11% 39.6 245s
21002 5662 0.65418 27 320 0.60524 0.66039 9.11% 39.6 251s
21006 5665 0.64650 30 306 0.60524 0.66039 9.11% 39.6 255s
21012 5669 0.61446 47 308 0.60524 0.66039 9.11% 39.6 261s
21017 5672 0.62693 52 322 0.60524 0.66039 9.11% 39.6 265s
21022 5676 0.61786 50 320 0.60524 0.66039 9.11% 39.6 270s
21027 5679 0.65538 29 315 0.60524 0.66039 9.11% 39.6 275s
21032 5682 0.64501 37 304 0.60524 0.66039 9.11% 39.6 280s
21036 5685 0.63695 31 308 0.60524 0.66039 9.11% 39.6 285s
21040 5688 0.62082 62 310 0.60524 0.66039 9.11% 39.5 290s
21046 5692 0.62988 54 325 0.60524 0.66039 9.11% 39.5 296s
21050 5694 0.64782 29 328 0.60524 0.66039 9.11% 39.5 301s
21053 5699 0.66039 25 274 0.60524 0.66039 9.11% 42.1 310s
21055 5702 0.66039 26 262 0.60524 0.66039 9.11% 42.1 318s
21059 5704 0.66039 27 279 0.60524 0.66039 9.11% 42.2 322s
21075 5713 0.66039 29 275 0.60524 0.66039 9.11% 42.4 325s
21112 5726 0.65010 33 258 0.60524 0.66039 9.11% 42.8 331s
21234 5753 0.64153 50 235 0.60524 0.66039 9.11% 43.4 335s
21456 5839 0.66039 31 313 0.60524 0.66039 9.11% 44.3 340s
21703 5931 0.66039 33 294 0.60524 0.66039 9.11% 45.0 345s
21885 5984 0.63909 47 218 0.60524 0.66039 9.11% 45.9 351s
21983 6006 0.62903 63 215 0.60524 0.66039 9.11% 46.6 355s
22175 6048 0.65204 53 221 0.60524 0.66039 9.11% 47.9 360s
22376 6094 0.61072 38 231 0.60524 0.66039 9.11% 48.8 365s
22628 6141 0.62936 41 255 0.60524 0.66039 9.11% 50.1 370s
22859 6201 0.63986 35 251 0.60524 0.66039 9.11% 51.9 376s
23032 6205 0.61033 48 232 0.60524 0.66039 9.11% 53.3 381s
23166 6214 0.60567 51 228 0.60524 0.66039 9.11% 54.3 385s
23418 6275 infeasible 51 0.60524 0.66039 9.11% 55.3 391s
23586 6291 0.64442 58 217 0.60524 0.66039 9.11% 56.3 395s
23799 6318 cutoff 52 0.60524 0.66039 9.11% 57.5 400s
23980 6320 0.63515 44 218 0.60524 0.66039 9.11% 58.7 405s
24163 6343 0.61458 44 217 0.60524 0.66039 9.11% 59.7 410s
24398 6381 cutoff 44 0.60524 0.66039 9.11% 61.2 416s
24590 6380 0.61518 41 211 0.60524 0.66039 9.11% 62.9 422s
24668 6366 infeasible 33 0.60524 0.66039 9.11% 63.5 425s
24970 6376 0.64096 42 250 0.60524 0.66039 9.11% 65.2 432s
25108 6371 0.61989 42 227 0.60524 0.66039 9.11% 66.1 436s
25233 6358 0.63324 47 258 0.60524 0.66039 9.11% 67.2 440s
25478 6359 0.65183 38 240 0.60524 0.66039 9.11% 68.7 448s
25696 6376 cutoff 37 0.60524 0.66025 9.09% 69.7 453s
25849 6385 0.62426 40 261 0.60524 0.65939 8.95% 70.6 457s
26032 6378 0.63517 35 253 0.60524 0.65894 8.87% 71.6 462s
26229 6385 0.62403 44 231 0.60524 0.65894 8.87% 72.7 471s
26251 6362 0.62400 45 226 0.60524 0.65894 8.87% 72.7 476s
26456 6329 0.63774 43 228 0.60524 0.65743 8.62% 73.7 481s
26670 6336 0.65389 44 259 0.60524 0.65714 8.58% 74.9 487s
26912 6342 0.62562 48 233 0.60524 0.65662 8.49% 76.0 492s
27204 6336 0.61780 78 167 0.60524 0.65631 8.44% 77.2 498s
27391 6297 cutoff 45 0.60524 0.65583 8.36% 78.7 503s
27566 6257 0.60675 45 230 0.60524 0.65554 8.31% 80.3 509s
27882 6279 0.63057 48 236 0.60524 0.65473 8.18% 81.6 515s
27965 6258 0.62816 46 214 0.60524 0.65461 8.16% 82.2 521s
28202 6191 infeasible 39 0.60524 0.65439 8.12% 83.8 527s
28451 6150 infeasible 48 0.60524 0.65345 7.97% 85.4 534s
28754 6142 cutoff 49 0.60524 0.65267 7.84% 86.9 541s
29010 6099 0.62704 41 225 0.60524 0.65220 7.76% 88.5 549s
29386 6103 cutoff 47 0.60524 0.65160 7.66% 89.7 557s
29820 6154 cutoff 50 0.60524 0.65097 7.56% 91.0 565s
30200 6150 0.63408 66 193 0.60524 0.65045 7.47% 92.4 574s
30622 6128 0.61350 71 162 0.60524 0.65022 7.43% 94.0 582s
31037 6101 cutoff 46 0.60524 0.64935 7.29% 95.6 592s
31363 6072 infeasible 39 0.60524 0.64913 7.25% 97.0 600s
Cutting planes:
Gomory: 221
Cover: 13
Implied bound: 45
Projected implied bound: 85
Clique: 2
MIR: 254
StrongCG: 3
Flow cover: 779
Inf proof: 51
Zero half: 3
Explored 31785 nodes (3126025 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.605238 0.605238 0.605238
Time limit reached
Warning: max constraint violation (4.5225e-06) exceeds tolerance
Best objective 6.052376244259e-01, best bound 6.485267721612e-01, gap 7.1524%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuco88wwn.pyomo.lp
Reading time = 0.01 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi528o_m0.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
MIP start did not produce a new incumbent solution
MIP start violates constraint c_u_x4082_ by 32.000001509
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 8.095391e-01, 1431 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.80954 0 134 - 0.80954 - - 0s
Another try with MIP start
0 0 0.78949 0 131 - 0.78949 - - 0s
0 0 0.78943 0 127 - 0.78943 - - 0s
0 0 0.78602 0 144 - 0.78602 - - 0s
0 0 0.78575 0 149 - 0.78575 - - 0s
0 0 0.78386 0 147 - 0.78386 - - 0s
0 0 0.78335 0 149 - 0.78335 - - 0s
0 0 0.78330 0 152 - 0.78330 - - 0s
0 0 0.78330 0 151 - 0.78330 - - 0s
0 0 0.78329 0 151 - 0.78329 - - 0s
0 0 0.78320 0 151 - 0.78320 - - 0s
0 0 0.78320 0 145 - 0.78320 - - 0s
0 2 0.78320 0 145 - 0.78320 - - 0s
748 596 0.73728 10 162 - 0.73728 - 4.9 5s
2342 1308 infeasible 95 - 0.73728 - 25.0 10s
3998 2435 0.32782 117 143 - 0.73728 - 30.4 15s
5696 3580 0.66047 34 153 - 0.73578 - 31.5 20s
7284 4584 0.67869 44 146 - 0.73163 - 34.5 25s
9409 5937 infeasible 48 - 0.73051 - 35.1 30s
10835 6799 0.39184 43 83 - 0.72807 - 35.9 35s
12840 8032 0.56354 32 143 - 0.72622 - 36.3 40s
14672 9100 0.49479 125 106 - 0.72492 - 37.1 45s
16763 10339 0.68931 27 167 - 0.72371 - 36.8 50s
18070 11077 0.64418 37 168 - 0.72285 - 37.1 55s
20011 12264 0.46158 51 143 - 0.72174 - 37.0 60s
20950 12876 0.61826 30 145 - 0.72138 - 37.0 77s
20958 12881 0.50522 33 206 - 0.72138 - 37.0 80s
20966 12887 0.50219 68 222 - 0.72138 - 37.0 85s
20974 12892 0.25491 78 233 - 0.72138 - 37.0 91s
20979 12895 0.41112 60 265 - 0.72138 - 37.0 95s
20986 12900 0.46806 40 266 - 0.72138 - 37.0 100s
20991 12903 0.55383 45 273 - 0.71953 - 37.0 105s
20997 12907 0.66314 51 272 - 0.71587 - 37.0 110s
21003 12911 0.57314 54 266 - 0.71522 - 37.0 115s
21008 12915 0.37496 45 270 - 0.71475 - 36.9 120s
21014 12919 0.69531 31 285 - 0.71391 - 36.9 125s
21019 12922 0.30001 65 286 - 0.71366 - 36.9 130s
21024 12925 0.69441 32 283 - 0.71348 - 36.9 135s
21029 12929 0.56981 63 288 - 0.71311 - 36.9 140s
21036 12933 0.39223 65 272 - 0.70971 - 36.9 145s
21041 12937 0.44220 40 290 - 0.70926 - 36.9 150s
21046 12940 0.61764 59 294 - 0.70869 - 36.9 155s
21051 12943 0.42076 48 296 - 0.70855 - 36.9 160s
21056 12947 0.47306 94 303 - 0.70735 - 36.9 165s
21061 12950 0.50769 34 285 - 0.70671 - 36.9 170s
21066 12953 0.50219 68 286 - 0.70602 - 36.8 175s
21071 12957 0.28144 79 298 - 0.70531 - 36.8 180s
21076 12960 0.46287 58 277 - 0.70467 - 36.8 185s
21080 12963 0.60725 32 286 - 0.70433 - 36.8 190s
21085 12966 0.64180 38 299 - 0.70382 - 36.8 195s
21090 12969 0.70252 28 314 - 0.70252 - 36.8 200s
21094 12972 0.38786 45 304 - 0.70062 - 36.8 205s
21099 12975 0.69929 34 308 - 0.69929 - 36.8 210s
21104 12979 0.47915 93 271 - 0.69852 - 36.8 216s
21110 12983 0.40648 57 301 - 0.69709 - 36.8 220s
21114 12985 0.69531 31 315 - 0.69699 - 36.8 225s
21119 12989 0.30001 65 319 - 0.69685 - 36.8 230s
21124 12992 0.69441 32 307 - 0.69667 - 36.7 236s
21129 12995 0.56981 63 315 - 0.69566 - 36.7 240s
21133 12998 0.43442 49 327 - 0.69559 - 36.7 245s
21137 13001 0.50089 30 318 - 0.69550 - 36.7 250s
21141 13003 0.44220 40 304 - 0.69539 - 36.7 255s
21146 13007 0.61764 59 306 - 0.69534 - 36.7 260s
21151 13010 0.42076 48 320 - 0.69519 - 36.7 265s
21155 13013 0.69475 29 308 - 0.69475 - 36.7 270s
21160 13016 0.43306 51 299 - 0.69242 - 36.7 276s
21165 13019 0.55667 50 300 - 0.69226 - 36.7 280s
21167 13021 0.44674 44 311 - 0.69226 - 36.7 286s
21168 13023 0.69200 19 308 - 0.69200 - 40.5 293s
21170 13023 0.69192 20 303 - 0.69192 - 40.5 299s
21173 13025 0.68387 21 297 - 0.69192 - 40.5 304s
21176 13025 0.67074 22 287 - 0.68910 - 40.6 310s
21188 13029 0.61490 25 232 - 0.68287 - 40.7 315s
21310 13100 0.59209 40 220 - 0.68188 - 41.0 320s
21610 13194 0.66203 34 222 - 0.68149 - 41.4 325s
22082 13292 infeasible 68 - 0.68122 - 41.7 330s
22447 13374 0.64484 39 213 - 0.68023 - 42.3 335s
23040 13571 0.66114 29 249 - 0.68014 - 42.8 340s
23618 13721 0.67722 24 290 - 0.67880 - 43.2 346s
24081 13841 infeasible 64 - 0.67824 - 43.7 350s
24450 13962 0.64961 40 233 - 0.67815 - 44.1 355s
24895 14059 0.67325 35 243 - 0.67758 - 44.6 360s
25270 14174 infeasible 105 - 0.67739 - 44.8 365s
25845 14333 0.52388 47 184 - 0.67725 - 45.4 371s
26280 14451 infeasible 44 - 0.67713 - 45.7 376s
26596 14534 infeasible 71 - 0.67701 - 46.4 382s
26927 14580 infeasible 40 - 0.67684 - 46.6 385s
27238 14664 0.61826 48 214 - 0.67666 - 47.2 391s
27574 14760 0.66207 40 220 - 0.67644 - 47.8 397s
27782 14821 0.65943 45 241 - 0.67644 - 48.2 400s
28246 14925 0.64541 41 231 - 0.67627 - 49.0 407s
28509 15014 infeasible 62 - 0.67614 - 49.5 411s
28742 15082 0.67516 32 248 - 0.67594 - 49.7 415s
29444 15266 0.66030 42 225 - 0.67562 - 50.2 423s
29773 15369 infeasible 43 - 0.67554 - 50.5 427s
30056 15438 0.53055 49 197 - 0.67545 - 50.7 432s
30366 15551 infeasible 44 - 0.67530 - 51.1 436s
30685 15660 0.60687 46 234 - 0.67523 - 51.3 441s
31226 15839 0.64686 60 199 - 0.67516 - 51.7 447s
31803 15975 0.66905 37 249 - 0.67503 - 52.0 450s
31989 15988 0.65248 30 199 - 0.67490 - 52.6 455s
32286 16074 0.66847 34 243 - 0.67484 - 52.9 460s
32696 16172 0.67010 38 242 - 0.67469 - 53.4 465s
33130 16294 0.66979 36 234 - 0.67467 - 54.0 470s
33452 16375 0.64335 37 239 - 0.67456 - 54.3 475s
33638 16401 infeasible 56 - 0.67448 - 54.6 481s
33999 16491 0.66107 42 217 - 0.67440 - 54.9 485s
34252 16552 0.55700 63 177 - 0.67431 - 55.3 491s
34547 16654 infeasible 75 - 0.67427 - 56.1 496s
34749 16676 0.52743 50 200 - 0.67412 - 56.6 501s
34974 16712 infeasible 64 - 0.67402 - 57.1 506s
35272 16755 0.62116 54 175 - 0.67394 - 57.5 512s
35618 16808 0.63710 40 231 - 0.67380 - 57.9 517s
35867 16851 0.66281 38 212 - 0.67364 - 58.4 523s
36229 16908 0.57296 43 181 - 0.67351 - 58.8 528s
36578 16996 infeasible 47 - 0.67348 - 59.2 534s
37082 17098 0.55227 51 189 - 0.67335 - 59.5 539s
37357 17133 0.46727 61 169 - 0.67332 - 60.0 545s
37743 17235 0.65434 38 203 - 0.67325 - 60.3 550s
38012 17253 0.57899 40 197 - 0.67319 - 60.7 556s
38287 17254 infeasible 46 - 0.67312 - 61.1 562s
38677 17358 infeasible 69 - 0.67298 - 61.4 567s
38945 17380 -1.18002 49 237 - 0.67290 - 61.9 573s
39434 17434 0.38228 40 170 - 0.67277 - 62.3 579s
39709 17489 0.52509 46 213 - 0.67272 - 62.7 585s
40087 17563 0.66788 38 213 - 0.67252 - 63.3 591s
40361 17608 infeasible 48 - 0.67233 - 63.8 597s
40945 17746 -3.84761 39 225 - 0.67223 - 64.1 600s
Cutting planes:
Gomory: 110
Cover: 2
Implied bound: 6
Projected implied bound: 16
MIR: 70
Flow cover: 301
Explored 41101 nodes (2655697 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 0
Time limit reached
Best objective -, best bound 6.722096559689e-01, gap -
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-3-ac09725910e6> in <module> 55 _,_,env1_mip_online_basestock = online_optimize_nv_mip(env1_mip_online, 56 solver_kwargs={'TimeLimit':600,'MIPGap':0.01}, ---> 57 warmstart=True) 58 59 #PICKLE ~/or-gym/or_gym/benchmarks/newsvendor/onv_benchmark.py in online_optimize_nv_mip(env, solver, solver_kwargs, warmstart, warmstart_kwargs) 46 warmstart_kwargs={'mapping_env':env, 47 'mapping_z':basestock[-1], ---> 48 'online':True}) 49 else: 50 model, results = solve_math_program(model,solver=solver,solver_kwargs=solver_kwargs) ~/or-gym/or_gym/algos/math_prog_utils.py in solve_math_program(model, solver, solver_kwargs, print_results, warmstart, warmstart_kwargs) 29 if warmstart: #run warmstart 30 model = warm_start_nv(model, **warmstart_kwargs) ---> 31 results = solver.solve(model, tee=print_results, warmstart=warmstart) 32 return model, results 33 else: #run regular solve ~/miniconda3/lib/python3.6/site-packages/pyomo/opt/base/solvers.py in solve(self, *args, **kwds) 657 result, 658 select=self._select_index, --> 659 default_variable_value=self._default_variable_value) 660 result._smap_id = None 661 result.solution.clear() ~/miniconda3/lib/python3.6/site-packages/pyomo/core/base/PyomoModel.py in load_from(self, results, allow_consistent_values_for_fixed_vars, comparison_tolerance_for_fixed_vars, ignore_invalid_labels, id, delete_symbol_map, clear, default_variable_value, select, ignore_fixed_vars) 247 raise ValueError("Cannot load a SolverResults object " 248 "with bad status: %s" --> 249 % str(results.solver.status)) 250 if clear: 251 # ValueError: Cannot load a SolverResults object with bad status: aborted
Repleat last two runs in 60 period case (since they were aborted)¶
In [2]:
for per in [60]:
print("Number of Periods: "+str(per))
for i in range(8,10):
print()
print("Run "+str(i))
print()
#create environments for 5 cases
seed_train = np.random.randint(1000,2000)
seed_sim = np.random.randint(1000,2000)
print("Seed for training "+str(seed_train))
print("Seed for simulation "+str(seed_sim))
env1_dfo=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_train,'periods':per})
env1_mip=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_train,'periods':per})
env1_mip_pi=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
env1_dfo_online=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
env1_mip_online=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
#run optimizations for backlog scenario
env1_dfo_results = optimize_nv_dfo(env1_dfo)
env1_mip_model, env1_mip_results = optimize_nv_mip(env1_mip,warmstart=True,
solver_kwargs={'TimeLimit':600,'MIPGap':0.00},
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt})
#DFO
#reset env to run simulation with new demand profile and with base stock levels found
env1_dfo=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_dfo.num_periods):
#take a step in the simulation using base stock policy
env1_dfo.step(action=env1_dfo.base_stock_action(z=env1_dfo_results.zopt))
#MIP
zopt = list(env1_mip_model.z.get_values().values()) #extract optimal base stock levels
#reset env to run simulation with new demand profile and with base stock levels found
env1_mip=or_gym.make("NewsVendor-v2",env_config={'seed_int':seed_sim,'periods':per})
#run simulation
for t in range(env1_mip.num_periods):
#take a step in the simulation using base stock policy
env1_mip.step(action=env1_mip.base_stock_action(z=zopt))
#MIP PI
env1_mip_pi_model, env1_mip_pi_results = optimize_nv_pi_mip(env1_mip_pi,warmstart=True,
warmstart_kwargs={'mapping_env': env1_dfo,
'mapping_z':env1_dfo_results.zopt,
'perfect_information':True})
#DFO ONLINE
_,_,env1_dfo_online_basestock = online_optimize_nv_dfo(env1_dfo_online)
#MIP ONLINE
_,_,env1_mip_online_basestock = online_optimize_nv_mip(env1_mip_online,
solver_kwargs={'TimeLimit':600,'MIPGap':0.01},
warmstart=True)
#PICKLE
NV_envs = {'DFO':env1_dfo,
'DFO zopt':env1_dfo_results.zopt,
'MIP':env1_mip,
'MIP zopt':list(env1_mip_model.z.get_values().values()),
'Oracle':env1_mip_pi,
'Oracle R':env1_mip_pi_model.R.get_values(),
'oDFO':env1_dfo_online,
'oDFO zopt':env1_dfo_online_basestock,
'oMIP':env1_mip_online,
'oMIP zopt':env1_mip_online_basestock}
file_env = open('NV_LostSales_'+str(per)+'_'+str(i)+'.obj','wb')
pickle.dump(NV_envs,file_env)
Number of Periods: 60 Run 8 Seed for training 1684 Seed for simulation 1559
/home/hdpp/miniconda3/lib/python3.6/site-packages/gym/logger.py:30: UserWarning: WARN: Box bound precision lowered by casting to float32
warnings.warn(colorize('%s: %s'%('WARN', msg % args), 'yellow'))
direc: array([[-53.70322743, 0. , 51.99296071],
[ 0. , 1. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.46448960173470055
fun: -0.46419941113071234
message: 'Optimization terminated successfully.'
nfev: 642
nit: 7
status: 0
success: True
x: array([205.0435642 , 3.01974659, 63.0237225 ])
xopt: array([205., 4., 64.])
zopt: array([205., 209., 273.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2vg6z1h1.pyomo.lp
Reading time = 0.02 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpgumg2x2z.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.46449
Presolve removed 899 rows and 580 columns
Presolve time: 0.04s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 8.502440e-01, 1497 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85024 0 132 0.46449 0.85024 83.0% - 0s
0 0 0.81940 0 161 0.46449 0.81940 76.4% - 0s
0 0 0.81939 0 163 0.46449 0.81939 76.4% - 0s
0 0 0.81103 0 140 0.46449 0.81103 74.6% - 0s
0 0 0.81102 0 141 0.46449 0.81102 74.6% - 0s
0 0 0.81022 0 161 0.46449 0.81022 74.4% - 0s
0 0 0.80991 0 162 0.46449 0.80991 74.4% - 0s
0 0 0.80956 0 170 0.46449 0.80956 74.3% - 0s
0 0 0.80954 0 170 0.46449 0.80954 74.3% - 0s
0 0 0.80929 0 165 0.46449 0.80929 74.2% - 0s
0 0 0.80929 0 165 0.46449 0.80929 74.2% - 0s
0 0 0.80928 0 166 0.46449 0.80928 74.2% - 0s
0 0 0.80928 0 166 0.46449 0.80928 74.2% - 0s
0 0 0.80928 0 163 0.46449 0.80928 74.2% - 0s
0 2 0.80928 0 163 0.46449 0.80928 74.2% - 0s
753 528 0.75136 14 174 0.46449 0.75136 61.8% 25.8 6s
1358 642 0.70324 36 158 0.46449 0.75136 61.8% 38.7 10s
2682 1033 0.51982 31 174 0.46449 0.75136 61.8% 41.2 15s
3867 1581 infeasible 46 0.46449 0.75098 61.7% 43.9 20s
H 5534 2357 0.4665887 0.74171 59.0% 42.4 24s
5741 2486 infeasible 29 0.46659 0.74020 58.6% 41.6 25s
H 5788 2434 0.4812111 0.74000 53.8% 41.6 25s
H 6839 2321 0.5242054 0.73400 40.0% 42.0 31s
H 6841 2234 0.5315526 0.73330 38.0% 42.0 31s
7925 2619 0.56034 35 173 0.53155 0.73064 37.5% 42.0 35s
9490 3243 0.66259 38 126 0.53155 0.72705 36.8% 41.9 40s
11132 3854 cutoff 44 0.53155 0.72433 36.3% 41.6 45s
11983 4163 infeasible 51 0.53155 0.72281 36.0% 42.1 50s
13411 4699 0.68947 48 159 0.53155 0.72071 35.6% 42.9 55s
14925 5371 infeasible 76 0.53155 0.71898 35.3% 43.2 60s
16774 6158 0.68380 59 124 0.53155 0.71784 35.0% 43.5 65s
18423 6884 cutoff 53 0.53155 0.71691 34.9% 43.4 70s
20144 7691 0.55593 39 172 0.53155 0.71633 34.8% 43.3 76s
H20159 7691 0.5317916 0.71633 34.7% 43.3 76s
21030 8141 0.61491 67 163 0.53179 0.71603 34.6% 43.0 98s
21039 8147 0.62685 30 202 0.53179 0.71603 34.6% 43.0 101s
21043 8150 0.67149 40 228 0.53179 0.71603 34.6% 42.9 105s
21050 8154 0.55243 31 244 0.53179 0.71603 34.6% 42.9 110s
21054 8157 0.71534 49 263 0.53179 0.71603 34.6% 42.9 116s
21057 8159 0.58247 60 275 0.53179 0.71603 34.6% 42.9 120s
21060 8161 0.56917 30 271 0.53179 0.71603 34.6% 42.9 126s
21063 8163 0.69687 55 284 0.53179 0.71603 34.6% 42.9 130s
21066 8165 0.67499 55 271 0.53179 0.71603 34.6% 42.9 135s
21070 8168 0.64622 31 281 0.53179 0.71603 34.6% 42.9 140s
21074 8170 0.53704 54 281 0.53179 0.71603 34.6% 42.9 145s
21078 8173 0.57504 62 286 0.53179 0.71603 34.6% 42.9 150s
21082 8176 0.67171 59 300 0.53179 0.71603 34.6% 42.9 157s
21084 8177 0.64777 45 289 0.53179 0.71603 34.6% 42.9 160s
21087 8179 0.71508 54 293 0.53179 0.71603 34.6% 42.9 166s
21090 8181 0.71244 38 276 0.53179 0.71603 34.6% 42.9 170s
21094 8184 0.59510 43 266 0.53179 0.71603 34.6% 42.8 176s
21097 8186 0.65640 52 273 0.53179 0.71603 34.6% 42.8 180s
21100 8188 0.53655 57 274 0.53179 0.71603 34.6% 42.8 185s
21103 8190 0.70816 50 282 0.53179 0.71603 34.6% 42.8 190s
21106 8192 0.66243 51 269 0.53179 0.71603 34.6% 42.8 195s
21110 8194 0.67884 41 280 0.53179 0.71603 34.6% 42.8 200s
21114 8197 0.71473 50 290 0.53179 0.71603 34.6% 42.8 207s
21117 8199 0.71226 43 297 0.53179 0.71603 34.6% 42.8 210s
21121 8202 0.70982 43 290 0.53179 0.71603 34.6% 42.8 215s
21124 8204 0.67374 65 283 0.53179 0.71603 34.6% 42.8 221s
21128 8206 0.66643 46 298 0.53179 0.71603 34.6% 42.8 226s
21131 8208 0.66402 32 299 0.53179 0.71603 34.6% 42.8 230s
21134 8210 0.58513 84 296 0.53179 0.71603 34.6% 42.8 236s
21138 8213 0.54671 79 296 0.53179 0.71603 34.6% 42.8 242s
21140 8214 0.67647 47 287 0.53179 0.71603 34.6% 42.8 245s
21142 8216 0.61917 57 286 0.53179 0.71603 34.6% 42.7 250s
21146 8218 0.62554 94 293 0.53179 0.71603 34.6% 42.7 255s
21150 8221 0.55243 31 287 0.53179 0.71603 34.6% 42.7 260s
21154 8224 0.71534 49 278 0.53179 0.71603 34.6% 42.7 267s
21156 8225 0.69938 59 281 0.53179 0.71603 34.6% 42.7 270s
21160 8228 0.56917 30 284 0.53179 0.71603 34.6% 42.7 275s
21162 8229 0.64199 83 281 0.53179 0.71603 34.6% 42.7 280s
21166 8232 0.67499 55 281 0.53179 0.71603 34.6% 42.7 285s
21171 8235 0.54797 49 295 0.53179 0.71603 34.6% 42.7 290s
21176 8238 0.63200 80 279 0.53179 0.71509 34.5% 42.7 295s
21179 8240 0.56427 46 289 0.53179 0.71486 34.4% 42.7 300s
21183 8243 0.60879 53 277 0.53179 0.71465 34.4% 42.7 305s
21188 8246 0.65920 64 285 0.53179 0.71456 34.4% 42.7 310s
21191 8248 0.58407 76 290 0.53179 0.71446 34.4% 42.6 315s
21196 8252 0.62105 59 290 0.53179 0.71435 34.3% 42.6 320s
21201 8255 0.71039 56 281 0.53179 0.71429 34.3% 42.6 325s
21206 8258 0.66243 51 281 0.53179 0.71419 34.3% 42.6 330s
21209 8260 0.56536 70 276 0.53179 0.71419 34.3% 42.6 336s
21212 8262 0.53506 80 296 0.53179 0.71419 34.3% 42.6 340s
21214 8266 0.70615 28 255 0.53179 0.71419 34.3% 45.2 347s
21216 8263 infeasible 29 0.53179 0.71358 34.2% 45.2 355s
21220 8264 0.70953 31 271 0.53179 0.71016 33.5% 45.3 365s
21222 8265 0.70947 32 288 0.53179 0.70947 33.4% 45.3 372s
21233 8269 0.69879 34 283 0.53179 0.70912 33.3% 45.4 375s
21276 8266 0.69478 35 252 0.53179 0.70843 33.2% 45.7 381s
21336 8281 0.70532 38 272 0.53179 0.70832 33.2% 46.0 386s
21428 8304 0.70202 37 260 0.53179 0.70831 33.2% 46.3 391s
21518 8322 0.53505 48 184 0.53179 0.70830 33.2% 46.8 396s
21595 8345 0.53752 41 154 0.53179 0.70603 32.8% 47.0 400s
21955 8487 0.67941 72 177 0.53179 0.70498 32.6% 47.1 405s
*22001 8067 205 0.5328362 0.70498 32.3% 47.1 405s
*22002 7670 205 0.5337440 0.70498 32.1% 47.1 405s
22365 7758 0.68743 50 222 0.53374 0.70433 32.0% 47.9 410s
22760 7892 0.68076 54 223 0.53374 0.70390 31.9% 48.6 415s
23187 7982 0.64402 50 203 0.53374 0.70325 31.8% 49.5 420s
23536 8050 0.68570 49 220 0.53374 0.70177 31.5% 50.4 426s
23915 8129 0.54793 53 159 0.53374 0.70116 31.4% 51.2 431s
24304 8158 0.66287 56 224 0.53374 0.70057 31.3% 52.0 436s
24687 8263 0.56348 116 84 0.53374 0.70021 31.2% 52.5 440s
25017 8282 0.69657 47 243 0.53374 0.69953 31.1% 53.1 445s
25410 8355 cutoff 51 0.53374 0.69922 31.0% 53.7 450s
25830 8416 0.61701 63 208 0.53374 0.69887 30.9% 54.2 455s
26268 8469 0.63925 54 209 0.53374 0.69839 30.8% 54.9 460s
26649 8511 infeasible 52 0.53374 0.69797 30.8% 55.6 465s
27146 8568 0.58757 47 144 0.53374 0.69731 30.6% 56.2 472s
27384 8590 0.65437 59 205 0.53374 0.69706 30.6% 56.8 475s
27644 8578 0.67129 51 207 0.53374 0.69678 30.5% 57.4 487s
27911 8618 0.68682 42 230 0.53374 0.69666 30.5% 57.6 491s
28424 8673 0.60119 49 182 0.53374 0.69584 30.4% 58.8 499s
28699 8727 0.68279 51 207 0.53374 0.69576 30.4% 59.4 503s
28952 8754 0.64259 44 218 0.53374 0.69522 30.3% 60.1 508s
29314 8812 0.66701 52 196 0.53374 0.69498 30.2% 60.5 512s
29637 8834 0.54149 54 138 0.53374 0.69477 30.2% 61.1 517s
29962 8851 0.59876 53 174 0.53374 0.69414 30.1% 61.9 522s
30326 8876 0.58173 50 178 0.53374 0.69392 30.0% 62.5 526s
30618 8891 0.66181 65 203 0.53374 0.69299 29.8% 63.2 531s
31103 8955 0.54945 58 176 0.53374 0.69282 29.8% 63.6 537s
31585 8989 0.67080 38 264 0.53374 0.69224 29.7% 64.1 542s
31862 8970 0.66149 47 204 0.53374 0.69175 29.6% 64.9 547s
32234 9007 0.57217 49 169 0.53374 0.69124 29.5% 65.5 552s
32751 9106 0.67504 46 224 0.53374 0.69085 29.4% 65.9 558s
33180 9133 0.54754 62 173 0.53374 0.69048 29.4% 66.3 563s
33635 9210 0.57213 45 197 0.53374 0.69016 29.3% 66.8 568s
33863 9219 0.67080 48 209 0.53374 0.68963 29.2% 67.2 574s
34244 9269 0.58059 50 138 0.53374 0.68944 29.2% 67.7 579s
34629 9279 0.60568 70 154 0.53374 0.68900 29.1% 68.3 584s
H35000 8922 0.5337440 0.68873 29.0% 68.9 591s
H35018 8070 0.5495440 0.68861 25.3% 68.9 591s
35065 8076 0.68813 53 196 0.54954 0.68861 25.3% 69.0 596s
35378 8067 0.66247 54 171 0.54954 0.68813 25.2% 69.8 600s
Cutting planes:
Gomory: 208
Cover: 2
Implied bound: 65
Projected implied bound: 56
Clique: 1
MIR: 224
StrongCG: 1
Flow cover: 707
Inf proof: 107
Zero half: 3
Explored 35693 nodes (2503464 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 10: 0.549544 0.533744 0.533744 ... 0.46449
Time limit reached
Best objective 5.495440315114e-01, best bound 6.877222461845e-01, gap 25.1442%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3nxen9t0.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoa_obmon.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.01s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.7851504e+01 5.100000e+02 0.000000e+00 0s
233 1.1212901e+01 0.000000e+00 0.000000e+00 0s
Solved in 233 iterations and 0.01 seconds
Optimal objective 1.121290140e+01
*******************************************
Period: 1
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 8.59482089e-08, -1.06440437e-08, -4.78906400e-07]])
fopt: 2.5824426765879056
fun: -2.5921161230857344
message: 'Optimization terminated successfully.'
nfev: 204
nit: 2
status: 0
success: True
x: array([ 17.14954084, -1. , -87.99580146])
xopt: array([17., 0., 0.])
zopt: array([17., 17., 17.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.38540729e-02, 7.34178574e-04, 6.78782459e-04]])
fopt: 2.222238644567087
fun: -2.2382184926782784
message: 'Optimization terminated successfully.'
nfev: 324
nit: 5
status: 0
success: True
x: array([41.33131615, -0.99976469, -0.99962813])
xopt: array([41., 0., 0.])
zopt: array([41., 41., 41.])
*******************************************
Period: 3
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., -0.]])
fopt: 2.0823811793395937
fun: -2.097942736943241
message: 'Optimization terminated successfully.'
nfev: 153
nit: 2
status: 0
success: True
x: array([ 59.95864297, -175.99374 , -0.99981571])
xopt: array([60., 0., 0.])
zopt: array([60., 60., 60.])
*******************************************
Period: 4
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-2.63567811, 0.07453644, 3.35361052]])
fopt: 1.5231066790478864
fun: -1.535855658808523
message: 'Optimization terminated successfully.'
nfev: 286
nit: 3
status: 0
success: True
x: array([ 69.0861915 , -0.92464463, -83.99287022])
xopt: array([70., 0., 0.])
zopt: array([70., 70., 70.])
*******************************************
Period: 5
direc: array([[0., 0., 1.],
[0., 1., 0.],
[0., 0., 0.]])
fopt: 1.4824466735155832
fun: -1.4872685966490413
message: 'Optimization terminated successfully.'
nfev: 207
nit: 2
status: 0
success: True
x: array([88.39693262, 1.00012809, 2. ])
xopt: array([88., 1., 2.])
zopt: array([88., 89., 91.])
*******************************************
Period: 6
direc: array([[ 1.68777140e-02, 5.93596389e-08, -1.00324782e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, -0.00000000e+00, -0.00000000e+00]])
fopt: 1.3921232726387691
fun: -1.3994021527478955
message: 'Optimization terminated successfully.'
nfev: 389
nit: 4
status: 0
success: True
x: array([104.98921574, 1.00034243, -4.96318549])
xopt: array([104., 2., 0.])
zopt: array([104., 106., 106.])
*******************************************
Period: 7
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., 0., -0.]])
fopt: 1.3538091640924312
fun: -1.3576061392249281
message: 'Optimization terminated successfully.'
nfev: 233
nit: 2
status: 0
success: True
x: array([124.0100537 , 1.00000724, 0.66746061])
xopt: array([124., 1., 0.])
zopt: array([124., 125., 125.])
*******************************************
Period: 8
/home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2376: RuntimeWarning: overflow encountered in double_scalars if (w - xc) * (xb - w) > 0.0: /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2396: RuntimeWarning: overflow encountered in double_scalars elif (w - wlim)*(xc - w) > 0.0: /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2392: RuntimeWarning: overflow encountered in double_scalars elif (w - wlim)*(wlim - xc) >= 0.0: /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2371: RuntimeWarning: overflow encountered in double_scalars w = xb - ((xb - xc) * tmp2 - (xb - xa) * tmp1) / denom /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2364: RuntimeWarning: overflow encountered in double_scalars tmp1 = (xb - xa) * (fb - fc) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2365: RuntimeWarning: overflow encountered in double_scalars tmp2 = (xb - xc) * (fb - fa) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2366: RuntimeWarning: invalid value encountered in double_scalars val = tmp2 - tmp1 /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2372: RuntimeWarning: overflow encountered in double_scalars wlim = xb + grow_limit * (xc - xb) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2408: RuntimeWarning: overflow encountered in double_scalars w = xc + _gold * (xc - xb) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2427: RuntimeWarning: invalid value encountered in multiply return func(p + alpha*xi) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:251: RuntimeWarning: invalid value encountered in greater_equal R[R>=Im1] = Im1[R>=Im1] #enforce available inventory constraint /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:279: RuntimeWarning: invalid value encountered in subtract I = I - S[:-1] #updated inventory at all stages (exclude last stage) /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:285: RuntimeWarning: invalid value encountered in subtract U = np.append(D,Rcopy) - S #unfulfilled demand and replenishment orders /home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:280: RuntimeWarning: invalid value encountered in subtract T = T - RnL + R #updated pipeline inventory at all stages (exclude last one) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1972: RuntimeWarning: invalid value encountered in double_scalars if numpy.abs(x - xmid) < (tol2 - 0.5 * (b - a)): /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1979: RuntimeWarning: invalid value encountered in double_scalars deltax = a - x # do a golden section step
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1482
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.1470808398146195
fun: -1.1513195088862853
message: 'Optimization terminated successfully.'
nfev: 246
nit: 3
status: 0
success: True
x: array([168.99999851, 1.02829933, -2.999625 ])
xopt: array([168., 2., 0.])
zopt: array([168., 170., 170.])
*******************************************
Period: 10
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 1.0435542563787983
fun: -1.0485710134726682
message: 'Optimization terminated successfully.'
nfev: 365
nit: 4
status: 0
success: True
x: array([185.99999305, 2.00001403, -0.99999999])
xopt: array([185., 3., 0.])
zopt: array([185., 188., 188.])
*******************************************
Period: 11
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 9.8768851 , 9.11357868, 17.21139297]])
fopt: 1.062006256973065
fun: -1.064395397015601
message: 'Optimization terminated successfully.'
nfev: 221
nit: 4
status: 0
success: True
x: array([182.00060695, 12.06654818, 23.33217709])
xopt: array([182., 12., 23.])
zopt: array([182., 194., 217.])
*******************************************
Period: 12
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-18.24724704, 21.05530091, 42.11060235]])
fopt: 1.1259484714582657
fun: -1.12831740230523
message: 'Optimization terminated successfully.'
nfev: 384
nit: 5
status: 0
success: True
x: array([169.00020263, 25.00722158, 47.08573753])
xopt: array([169., 25., 47.])
zopt: array([169., 194., 241.])
*******************************************
Period: 13
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-1.91238144e-04, 1.24193101e-04, 6.88539324e-03],
[ 4.68709479e-04, 1.00000000e+00, 0.00000000e+00]])
fopt: 1.1241095209222256
fun: -1.1244618596195868
message: 'Optimization terminated successfully.'
nfev: 674
nit: 7
status: 0
success: True
x: array([185.99944083, 8.00012419, 58.46996806])
xopt: array([185., 9., 58.])
zopt: array([185., 194., 252.])
*******************************************
Period: 14
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 6.20512484, 25.33959793, 46.428282 ]])
fopt: 0.9997360601250228
fun: -0.9934241644424856
message: 'Optimization terminated successfully.'
nfev: 356
nit: 5
status: 0
success: True
x: array([192.98946637, 28.04540333, 51.56112029])
xopt: array([192., 28., 52.])
zopt: array([192., 220., 272.])
*******************************************
Period: 15
direc: array([[-1.28786805e+01, 3.72694812e+01, 7.37456364e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.12810680e-10, -1.20249640e-13, -5.91260354e-15]])
fopt: 1.0915316097716425
fun: -1.0843188123332261
message: 'Optimization terminated successfully.'
nfev: 382
nit: 5
status: 0
success: True
x: array([171.37654679, 41.39247515, 79.01865467])
xopt: array([171., 41., 80.])
zopt: array([171., 212., 292.])
*******************************************
Period: 16
direc: array([[-2.17906239e+01, 4.61034857e+01, 9.20376744e+01],
[-5.06809266e+00, 7.06095334e+00, -3.53468047e-08],
[-3.73859620e-02, -2.07996875e-03, -2.60741284e-10]])
fopt: 1.3201076650188692
fun: -1.318603563257064
message: 'Optimization terminated successfully.'
nfev: 1343
nit: 16
status: 0
success: True
x: array([ 86. , 126.00013034, 98.73924793])
xopt: array([ 85., 126., 98.])
zopt: array([ 85., 211., 309.])
*******************************************
Period: 17
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-125.87722396, 59.79909736, 104.15203457]])
fopt: 1.1672416894430364
fun: -1.160347610512561
message: 'Optimization terminated successfully.'
nfev: 372
nit: 5
status: 0
success: True
x: array([ 60.99954227, 88.00288663, 109.15001106])
xopt: array([ 61., 89., 110.])
zopt: array([ 61., 150., 260.])
*******************************************
Period: 18
direc: array([[ 13.98796062, 40.27042359, 80.25097124],
[-63.02833855, 27.98156592, 32.27278196],
[ -0.17487785, 0.91015819, 0.08951348]])
fopt: 1.248749133815467
fun: -1.2476062742532685
message: 'Optimization terminated successfully.'
nfev: 494
nit: 7
status: 0
success: True
x: array([ 81.82312251, 114. , 147.2207868 ])
xopt: array([ 82., 115., 147.])
zopt: array([ 82., 197., 344.])
*******************************************
Period: 19
direc: array([[ 1.21022085e+02, 4.03279555e+00, 4.00666410e+00],
[-1.25002398e-02, 4.74866729e-03, 1.09510995e-02],
[ 0.00000000e+00, 1.19617494e+02, 0.00000000e+00]])
fopt: 0.8931682803740664
fun: -0.8926814900126914
message: 'Optimization terminated successfully.'
nfev: 1138
nit: 12
status: 0
success: True
x: array([ 80.94361935, 235.0035547 , 7.03701396])
xopt: array([ 81., 235., 8.])
zopt: array([ 81., 316., 324.])
*******************************************
Period: 20
direc: array([[ 1.21507264e+02, 4.13874270e+00, 4.12334042e+00],
[-8.05395403e-06, -1.14080217e-03, -2.24820436e-03],
[ 0.00000000e+00, 1.06454257e+02, 0.00000000e+00]])
fopt: 0.8394204148851682
fun: -0.8402727798462337
message: 'Optimization terminated successfully.'
nfev: 1115
nit: 12
status: 0
success: True
x: array([ 81.96533118, 236.03268055, 7.63533434])
xopt: array([ 82., 236., 7.])
zopt: array([ 82., 318., 325.])
*******************************************
Period: 21
direc: array([[-1.16997444e-01, 4.22452318e+01, 8.21795280e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 1.22515989e-04, -2.95809692e-05, 4.69493569e-06]])
fopt: 1.1097574008913171
fun: -1.1066972140789773
message: 'Optimization terminated successfully.'
nfev: 841
nit: 10
status: 0
success: True
x: array([ 91.96397454, 112. , 203.61987357])
xopt: array([ 91., 113., 203.])
zopt: array([ 91., 204., 407.])
*******************************************
Period: 22
direc: array([[0. , 0. , 0. ],
[0. , 1. , 0. ],
[0. , 7.16579787, 4.77719858]])
fopt: 0.6404010519018105
fun: -0.638898602287763
message: 'Optimization terminated successfully.'
nfev: 520
nit: 8
status: 0
success: True
x: array([186.15154312, 84.00117218, 58.27015465])
xopt: array([186., 84., 59.])
zopt: array([186., 270., 329.])
*******************************************
Period: 23
direc: array([[-5.54325230e-03, -1.56890772e-02, -5.89375259e-05],
[ 2.52547051e+01, 5.82697596e+01, 3.90281409e+01],
[-2.35233455e-04, -7.53451182e-04, -2.72812801e-06]])
fopt: 0.7887984601392839
fun: -0.7841764775696878
message: 'Optimization terminated successfully.'
nfev: 621
nit: 8
status: 0
success: True
x: array([124.6106061 , 159.30345197, 44.00188154])
xopt: array([124., 160., 45.])
zopt: array([124., 284., 329.])
*******************************************
Period: 24
direc: array([[123.41141928, 2.05856572, 4.16437685],
[ 0. , 1. , 0. ],
[ 3.39484175, 78.36721511, 39.14464792]])
fopt: 0.9105190824239537
fun: -0.9096354087113987
message: 'Optimization terminated successfully.'
nfev: 765
nit: 10
status: 0
success: True
x: array([ 80.99943849, 190.00011293, 52.01342249])
xopt: array([ 81., 190., 53.])
zopt: array([ 81., 271., 324.])
*******************************************
Period: 25
direc: array([[ 5.75348315, 40.83608082, 88.0246774 ],
[ 0. , 1. , 0. ],
[-33.48359611, 24.02984986, 19.01271373]])
fopt: 1.0768399356844747
fun: -1.0770589750288384
message: 'Optimization terminated successfully.'
nfev: 513
nit: 7
status: 0
success: True
x: array([ 81.83984257, 123. , 196.04333291])
xopt: array([ 81., 123., 197.])
zopt: array([ 81., 204., 401.])
*******************************************
Period: 26
direc: array([[2.07627799e-01, 1.11158719e-03, 2.23445627e-03],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[0.00000000e+00, 2.98621476e+00, 1.99621476e+00]])
fopt: 0.675110400423249
fun: -0.6724085184342103
message: 'Optimization terminated successfully.'
nfev: 591
nit: 7
status: 0
success: True
x: array([187.99304396, 84.14883672, 57.09973572])
xopt: array([187., 84., 58.])
zopt: array([187., 271., 329.])
*******************************************
Period: 27
direc: array([[0. , 0. , 0. ],
[0. , 0. , 0. ],
[0. , 3.94326122, 0. ]])
fopt: 0.6013052778370885
fun: -0.600726207245884
message: 'Optimization terminated successfully.'
nfev: 553
nit: 9
status: 0
success: True
x: array([187.281538 , 137.000073 , 5.00249917])
xopt: array([187., 137., 5.])
zopt: array([187., 324., 329.])
*******************************************
Period: 28
direc: array([[ 7.91465704, 45.41919345, 61.18449595],
[ 0. , 1. , 0. ],
[-25.13925091, 18.13162948, 7.02943059]])
fopt: 0.9875989929882536
fun: -0.9876831964235115
message: 'Optimization terminated successfully.'
nfev: 500
nit: 7
status: 0
success: True
x: array([ 84.88074011, 120.00000233, 123.14638113])
xopt: array([ 84., 120., 123.])
zopt: array([ 84., 204., 327.])
*******************************************
Period: 29
direc: array([[ 5.58305581e-01, 3.02707742e-03, 6.08021090e-03],
[-2.46762996e-04, -5.12852816e-04, -3.40287194e-04],
[ 0.00000000e+00, 1.20676237e+01, 0.00000000e+00]])
fopt: 0.5991524349394851
fun: -0.597638579502095
message: 'Optimization terminated successfully.'
nfev: 1055
nit: 10
status: 0
success: True
x: array([187.43511225, 97.08557479, 6.00007787])
xopt: array([187., 98., 7.])
zopt: array([187., 285., 292.])
*******************************************
Period: 30
direc: array([[ 1.40951757, 2.00756662, 4.05465842],
[ 0. , 1. , 0. ],
[-82.58822898, 30.80954689, 51.63236287]])
fopt: 1.010906291204912
fun: -1.0099054100213982
message: 'Optimization terminated successfully.'
nfev: 434
nit: 6
status: 0
success: True
x: array([ 92.39525662, 111. , 204.23137093])
xopt: array([ 92., 112., 204.])
zopt: array([ 92., 204., 408.])
*******************************************
Period: 31
direc: array([[ 0.56952218, 2.02101987, 4.03726097],
[ 0. , 1. , 0. ],
[-26.86719053, 9.11731003, 17.21291105]])
fopt: 0.9950826788438687
fun: -0.9873921833812574
message: 'Optimization terminated successfully.'
nfev: 710
nit: 11
status: 0
success: True
x: array([ 72.1861827 , 108. , 197.46208031])
xopt: array([ 73., 109., 197.])
zopt: array([ 73., 182., 379.])
*******************************************
Period: 32
direc: array([[-1.71026902e+00, -4.53553864e-09, -9.03597736e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.73491651e-06, -1.38397820e-06, 2.01609728e+02]])
fopt: 0.8683790697800835
fun: -0.8687331534996191
message: 'Optimization terminated successfully.'
nfev: 564
nit: 6
status: 0
success: True
x: array([ 1.89999928e+02, -5.11612551e-11, 2.04000128e+02])
xopt: array([189., 0., 204.])
zopt: array([189., 189., 393.])
*******************************************
Period: 33
direc: array([[ 9.77411484, 29.23156359, 58.23165494],
[ 0. , 1. , 0. ],
[-52.50420155, 47.26079294, 94.56821909]])
fopt: 0.9756888138347166
fun: -0.975168196812544
message: 'Optimization terminated successfully.'
nfev: 472
nit: 6
status: 0
success: True
x: array([ 97.83603145, 105. , 206.03421772])
xopt: array([ 97., 106., 206.])
zopt: array([ 97., 203., 409.])
*******************************************
Period: 34
direc: array([[ 1.39328709e+01, 2.92284675e+00, 4.96992546e+00],
[ 2.01486864e-05, -5.98724543e-05, -1.73817630e-05],
[ 2.84217094e-14, 2.00000000e+00, 0.00000000e+00]])
fopt: 0.9746500814671294
fun: -0.9748034646935255
message: 'Optimization terminated successfully.'
nfev: 1183
nit: 13
status: 0
success: True
x: array([ 83.46038453, 118.00003988, 197. ])
xopt: array([ 83., 118., 197.])
zopt: array([ 83., 201., 398.])
*******************************************
Period: 35
direc: array([[-1.19586804e-01, 0.00000000e+00, 1.00000000e+00],
[-1.27027711e+02, 0.00000000e+00, 1.19005402e+02],
[ 0.00000000e+00, 0.00000000e+00, -0.00000000e+00]])
fopt: 0.7416226671997861
fun: -0.7411315136451013
message: 'Optimization terminated successfully.'
nfev: 739
nit: 7
status: 0
success: True
x: array([129.72280808, 4. , 125. ])
xopt: array([130., 4., 125.])
zopt: array([130., 134., 259.])
*******************************************
Period: 36
direc: array([[-208.5183933 , 77.04178718, 77.04178718],
[ -10.55929413, 14.20698899, 11.90859043],
[ 0. , 2. , 0. ]])
fopt: 0.9027365357305673
fun: -0.89905023177144
message: 'Optimization terminated successfully.'
nfev: 1021
nit: 11
status: 0
success: True
x: array([ 76.71999989, 125. , 113.19705825])
xopt: array([ 77., 125., 114.])
zopt: array([ 77., 202., 316.])
*******************************************
Period: 37
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-124.36655568, 76.33539385, 144.2734359 ]])
fopt: 0.9293831936595377
fun: -0.928156344749611
message: 'Optimization terminated successfully.'
nfev: 326
nit: 5
status: 0
success: True
x: array([ 82.99973435, 117. , 215.69928482])
xopt: array([ 82., 117., 215.])
zopt: array([ 82., 199., 414.])
*******************************************
Period: 38
direc: array([[-1.80755992e+02, 5.61821113e+01, 1.12116975e+02],
[-5.65935893e-07, -5.60898079e-07, -1.24674364e-06],
[ 5.68434196e-14, 5.68434196e-14, 4.00000005e+00]])
fopt: 0.9177358530506167
fun: -0.9163363646306828
message: 'Optimization terminated successfully.'
nfev: 1080
nit: 12
status: 0
success: True
x: array([ 93.6608309 , 95. , 205.00000045])
xopt: array([ 94., 96., 206.])
zopt: array([ 94., 190., 396.])
*******************************************
Period: 39
direc: array([[-1.23883607e+02, 7.74396289e+01, 1.50163298e+02],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-6.04723545e+00, 2.02752667e+00, -3.59992368e-02]])
fopt: 0.9279886102430244
fun: -0.9278049331527672
message: 'Optimization terminated successfully.'
nfev: 524
nit: 8
status: 0
success: True
x: array([ 82.83100882, 116. , 207.03014127])
xopt: array([ 83., 117., 208.])
zopt: array([ 83., 200., 408.])
*******************************************
Period: 40
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-183.89465289, 119.14345712, 119.14359736]])
fopt: 0.8523820710830532
fun: -0.8521227996322968
message: 'Optimization terminated successfully.'
nfev: 360
nit: 5
status: 0
success: True
x: array([ 84. , 123.00009521, 124.14184487])
xopt: array([ 83., 123., 125.])
zopt: array([ 83., 206., 331.])
*******************************************
Period: 41
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-6.65181004e-08, 1.56837536e-07, 0.00000000e+00]])
fopt: 0.45363838529068623
fun: -0.4536637434741766
message: 'Optimization terminated successfully.'
nfev: 359
nit: 5
status: 0
success: True
x: array([268.05233759, 6.00000016, 4.02172948])
xopt: array([268., 7., 5.])
zopt: array([268., 275., 280.])
*******************************************
Period: 42
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-0.00384624, 0. , 0.1286564 ]])
fopt: 0.4361782105010637
fun: -0.43573382851354425
message: 'Optimization terminated successfully.'
nfev: 325
nit: 4
status: 0
success: True
x: array([279.00845057, 2.000002 , 4.0534756 ])
xopt: array([279., 2., 5.])
zopt: array([279., 281., 286.])
*******************************************
Period: 43
direc: array([[ 1.22231801e+01, 2.30662886e+01, 1.89912770e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-8.62994933e-07, -3.63916215e-06, -2.94173206e-06]])
fopt: 0.7824037157533792
fun: -0.7820093719458425
message: 'Optimization terminated successfully.'
nfev: 702
nit: 10
status: 0
success: True
x: array([ 84.9614572 , 140. , 103.23360966])
xopt: array([ 84., 140., 104.])
zopt: array([ 84., 224., 328.])
*******************************************
Period: 44
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-4.15402872, 6.00000008, 3.92040005]])
fopt: 0.7666312034492011
fun: -0.7658609100976785
message: 'Optimization terminated successfully.'
nfev: 375
nit: 6
status: 0
success: True
x: array([ 83.9990288 , 146. , 98.42661868])
xopt: array([ 83., 146., 99.])
zopt: array([ 83., 229., 328.])
*******************************************
Period: 45
direc: array([[-8.02516355e+00, 1.67597019e+01, 6.14785040e+01],
[-7.83126458e+00, 1.19397448e+00, 3.04348922e+00],
[-3.17326568e-13, -5.70221452e-04, 1.23332747e-13]])
fopt: 0.8245972997769875
fun: -0.8235975819089152
message: 'Optimization terminated successfully.'
nfev: 729
nit: 9
status: 0
success: True
x: array([133.98335262, 62. , 206. ])
xopt: array([134., 63., 206.])
zopt: array([134., 197., 403.])
*******************************************
Period: 46
direc: array([[ 1. , 0. , 0. ],
[-66.09464497, 78.22241438, 116.11708605],
[ 0. , 1. , 0. ]])
fopt: 0.8331261915166267
fun: -0.8330532408600629
message: 'Optimization terminated successfully.'
nfev: 1017
nit: 11
status: 0
success: True
x: array([ 82. , 133.00003383, 182.12378026])
xopt: array([ 82., 133., 183.])
zopt: array([ 82., 215., 398.])
*******************************************
Period: 47
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-62.09482232, 115.19936081, 76.54442579]])
fopt: 0.7380888998032356
fun: -0.7380978123237607
message: 'Optimization terminated successfully.'
nfev: 472
nit: 8
status: 0
success: True
x: array([ 83.99990025, 147. , 97.03986625])
xopt: array([ 83., 147., 98.])
zopt: array([ 83., 230., 328.])
*******************************************
Period: 48
direc: array([[ 0.381966 , 1. , 1. ],
[ 0. , 1. , 0. ],
[-24.7465593 , 17.74636354, 8.18605978]])
fopt: 0.7443700795770707
fun: -0.7451930797539399
message: 'Optimization terminated successfully.'
nfev: 451
nit: 7
status: 0
success: True
x: array([ 82.38939883, 194.00380786, 121.22271337])
xopt: array([ 82., 194., 122.])
zopt: array([ 82., 276., 398.])
*******************************************
Period: 49
direc: array([[ 1. , 0. , 0. ],
[-0. , 0. , 0. ],
[-0.9442719 , 0.94427191, 0. ]])
fopt: 0.4358137723648481
fun: -0.43633389185302696
message: 'Optimization terminated successfully.'
nfev: 368
nit: 6
status: 0
success: True
x: array([267.00034463, 6.00512697, 3.04026531])
xopt: array([267., 7., 4.])
zopt: array([267., 274., 278.])
*******************************************
Period: 50
direc: array([[-5.08107859e+00, 2.38368986e+01, 5.28265640e+01],
[-1.48110041e+01, 4.63088401e+00, 9.24546804e+00],
[-0.00000000e+00, -1.01238113e-11, -0.00000000e+00]])
fopt: 0.8023488347679674
fun: -0.8018236766008779
message: 'Optimization terminated successfully.'
nfev: 766
nit: 9
status: 0
success: True
x: array([ 99.44342719, 98. , 204.31672613])
xopt: array([ 99., 98., 204.])
zopt: array([ 99., 197., 401.])
*******************************************
Period: 51
direc: array([[1.38196603, 1. , 0.9709614 ],
[0. , 1. , 0. ],
[0. , 0. , 0. ]])
fopt: 0.43475578449460084
fun: -0.4338076639061526
message: 'Optimization terminated successfully.'
nfev: 321
nit: 4
status: 0
success: True
x: array([273.4154476 , 5.00006531, 7.01721923])
xopt: array([273., 5., 8.])
zopt: array([273., 278., 286.])
*******************************************
Period: 52
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-36.40295282, 47.13877054, 30.92723847]])
fopt: 0.6997192289585444
fun: -0.7002125868093722
message: 'Optimization terminated successfully.'
nfev: 467
nit: 7
status: 0
success: True
x: array([ 81.99978257, 169.00000256, 111.10369691])
xopt: array([ 82., 170., 112.])
zopt: array([ 82., 252., 364.])
*******************************************
Period: 53
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-186.08198376, 176.45726637, 118.52028343]])
fopt: 0.7039013421904062
fun: -0.7043706060502558
message: 'Optimization terminated successfully.'
nfev: 547
nit: 8
status: 0
success: True
x: array([ 81.99288253, 189.00229987, 126.21268881])
xopt: array([ 82., 189., 127.])
zopt: array([ 82., 271., 398.])
*******************************************
Period: 54
direc: array([[ 1.98000002, 1. , 1.18026109],
[ 0. , 1. , 0. ],
[-0. , -0. , -0.03964956]])
fopt: 0.42573289030682365
fun: -0.42491040383607603
message: 'Optimization terminated successfully.'
nfev: 480
nit: 5
status: 0
success: True
x: array([274.09410092, 4. , 7.00026956])
xopt: array([274., 4., 8.])
zopt: array([274., 278., 286.])
*******************************************
Period: 55
direc: array([[-192.13654249, 70.01477124, 157.87690954],
[ 10.42906561, 8.48803621, 17.10867802],
[ 0. , 1. , 0. ]])
fopt: 0.757324849335981
fun: -0.7571279371324434
message: 'Optimization terminated successfully.'
nfev: 748
nit: 9
status: 0
success: True
x: array([ 99.55648442, 101. , 209.08216939])
xopt: array([ 99., 101., 209.])
zopt: array([ 99., 200., 409.])
*******************************************
Period: 56
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-7.45948416e+01, 5.09542649e+01, 1.11796144e+02],
[-5.94122679e+00, 3.98397524e+00, -7.92227052e-03]])
fopt: 0.7548633426739816
fun: -0.754338449668639
message: 'Optimization terminated successfully.'
nfev: 619
nit: 9
status: 0
success: True
x: array([ 91.99970318, 105. , 209.07117146])
xopt: array([ 91., 106., 209.])
zopt: array([ 91., 197., 406.])
*******************************************
Period: 57
direc: array([[ -3.10332551, 2. , 0. ],
[ 0. , 0. , 0. ],
[-179.19488154, 157.23813366, 0. ]])
fopt: 0.5443212124273389
fun: -0.5408137432951373
message: 'Optimization terminated successfully.'
nfev: 558
nit: 9
status: 0
success: True
x: array([ 74.89168101, 174.00017055, 4.04469176])
xopt: array([ 75., 175., 5.])
zopt: array([ 75., 250., 255.])
*******************************************
Period: 58
direc: array([[-1.80396192e+02, 1.05547571e+02, 6.03128978e+01],
[-4.67429735e-06, -4.32193029e-06, -0.00000000e+00],
[ 2.86310520e-02, 1.98321304e+00, -9.58019847e-03]])
fopt: 0.6172777842503137
fun: -0.6165571021012044
message: 'Optimization terminated successfully.'
nfev: 782
nit: 11
status: 0
success: True
x: array([ 82.07297958, 138.00000092, 74.00913228])
xopt: array([ 82., 139., 75.])
zopt: array([ 82., 221., 296.])
*******************************************
Period: 59
direc: array([[ 1.04565404e+01, 3.00458110e+01, 1.71892505e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-7.95793343e-07, -1.20393193e-05, -6.89329920e-06]])
fopt: 0.6550971510937211
fun: -0.6553131593158154
message: 'Optimization terminated successfully.'
nfev: 701
nit: 11
status: 0
success: True
x: array([ 81.9720288 , 150.00934701, 95.25918469])
xopt: array([ 82., 150., 96.])
zopt: array([ 82., 232., 328.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw8q4skls.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp27f1o5kx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [8e-02, 8e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25704
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 2.58244 1.25704
Optimal solution found (tolerance 1.00e-02)
Best objective 2.582442676588e+00, best bound 2.582442676588e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkplgseg5.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5f7nh8p5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.996581
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 2.222239e+00, 3 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 2.2222386 2.22224 0.00% - 0s
Explored 0 nodes (3 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.22224 0.996581
Optimal solution found (tolerance 1.00e-02)
Best objective 2.222238644567e+00, best bound 2.222238644567e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv_hbbq6u.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzqwd5t1m.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09421
Presolve removed 97 rows and 71 columns
Presolve time: 0.00s
Presolved: 48 rows, 38 columns, 153 nonzeros
Variable types: 17 continuous, 21 integer (17 binary)
Root relaxation: objective 2.564119e+00, 24 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.56412 0 6 1.09421 2.56412 134% - 0s
H 0 0 2.0823812 2.56412 23.1% - 0s
0 0 2.20047 0 1 2.08238 2.20047 5.67% - 0s
Cutting planes:
Gomory: 2
MIR: 1
Flow cover: 2
Flow path: 1
Explored 1 nodes (30 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 2.08238 1.09421
Optimal solution found (tolerance 1.00e-02)
Best objective 2.082381179340e+00, best bound 2.082381179340e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpufw_4f_t.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp_le7mdp7.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.51876
Presolve removed 130 rows and 92 columns
Presolve time: 0.00s
Presolved: 61 rows, 50 columns, 206 nonzeros
Variable types: 23 continuous, 27 integer (22 binary)
Root relaxation: objective 1.650443e+00, 34 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.65044 0 8 1.51876 1.65044 8.67% - 0s
H 0 0 1.5239769 1.65044 8.30% - 0s
0 0 cutoff 0 1.52398 1.52398 0.00% - 0s
Cutting planes:
Gomory: 3
MIR: 3
Flow cover: 2
Explored 1 nodes (44 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.52398 1.51876
Optimal solution found (tolerance 1.00e-02)
Best objective 1.523976857553e+00, best bound 1.523976857553e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmiifo_hz.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz18j475s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-03, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11563
Presolve removed 123 rows and 85 columns
Presolve time: 0.00s
Presolved: 114 rows, 90 columns, 380 nonzeros
Variable types: 43 continuous, 47 integer (42 binary)
Root relaxation: objective 1.965618e+00, 68 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96562 0 4 1.11563 1.96562 76.2% - 0s
H 0 0 1.5699106 1.96562 25.2% - 0s
0 0 1.71728 0 1 1.56991 1.71728 9.39% - 0s
H 0 0 1.6464238 1.71728 4.30% - 0s
0 0 cutoff 0 1.64642 1.64642 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 4
Explored 1 nodes (91 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.64642 1.56991 1.11563
Optimal solution found (tolerance 1.00e-02)
Best objective 1.646423789218e+00, best bound 1.646423789218e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5sl_ff9f.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmvhlh_qk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26114
Presolve removed 140 rows and 95 columns
Presolve time: 0.00s
Presolved: 143 rows, 113 columns, 484 nonzeros
Variable types: 55 continuous, 58 integer (53 binary)
Root relaxation: objective 1.966978e+00, 85 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96698 0 5 1.26114 1.96698 56.0% - 0s
H 0 0 1.5486247 1.96698 27.0% - 0s
0 0 1.68200 0 1 1.54862 1.68200 8.61% - 0s
H 0 0 1.6123857 1.68200 4.32% - 0s
0 0 cutoff 0 1.61239 1.61239 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 5
Explored 1 nodes (118 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.61239 1.54862 1.26114
Optimal solution found (tolerance 1.00e-02)
Best objective 1.612385677898e+00, best bound 1.612385677898e+00, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpl36fep2s.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfci28mgv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.27211
Presolve removed 155 rows and 104 columns
Presolve time: 0.00s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 2.025314e+00, 102 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.02531 0 8 1.27211 2.02531 59.2% - 0s
H 0 0 1.5798357 2.02531 28.2% - 0s
0 0 1.76590 0 3 1.57984 1.76590 11.8% - 0s
H 0 0 1.6344880 1.76590 8.04% - 0s
0 0 1.76590 0 3 1.63449 1.76590 8.04% - 0s
0 0 1.76540 0 3 1.63449 1.76540 8.01% - 0s
0 0 1.76540 0 3 1.63449 1.76540 8.01% - 0s
0 0 1.76448 0 1 1.63449 1.76448 7.95% - 0s
0 0 1.64514 0 1 1.63449 1.64514 0.65% - 0s
Explored 1 nodes (197 simplex iterations) in 0.04 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.63449 1.57984 1.27211
Optimal solution found (tolerance 1.00e-02)
Best objective 1.634487964131e+00, best bound 1.645140746525e+00, gap 0.6518%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2h65yslg.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp91e2jc5x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.33929
Presolve removed 171 rows and 114 columns
Presolve time: 0.00s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 2.046994e+00, 125 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.04699 0 12 1.33929 2.04699 52.8% - 0s
H 0 0 1.5518324 2.04699 31.9% - 0s
0 0 1.80470 0 6 1.55183 1.80470 16.3% - 0s
0 0 1.80466 0 6 1.55183 1.80466 16.3% - 0s
0 0 1.78826 0 13 1.55183 1.78826 15.2% - 0s
0 0 1.78325 0 16 1.55183 1.78325 14.9% - 0s
H 0 0 1.5573686 1.78325 14.5% - 0s
0 0 1.78302 0 16 1.55737 1.78302 14.5% - 0s
0 0 1.78190 0 14 1.55737 1.78190 14.4% - 0s
0 0 1.78186 0 21 1.55737 1.78186 14.4% - 0s
0 0 1.78125 0 19 1.55737 1.78125 14.4% - 0s
0 0 1.78122 0 21 1.55737 1.78122 14.4% - 0s
0 0 1.78101 0 21 1.55737 1.78101 14.4% - 0s
0 0 1.78101 0 21 1.55737 1.78101 14.4% - 0s
H 0 0 1.5629673 1.78101 14.0% - 0s
0 0 1.78101 0 7 1.56297 1.78101 14.0% - 0s
0 0 1.76838 0 9 1.56297 1.76838 13.1% - 0s
0 0 1.76800 0 9 1.56297 1.76800 13.1% - 0s
0 0 1.75121 0 9 1.56297 1.75121 12.0% - 0s
0 0 1.75104 0 9 1.56297 1.75104 12.0% - 0s
0 0 1.75008 0 7 1.56297 1.75008 12.0% - 0s
0 0 1.74908 0 11 1.56297 1.74908 11.9% - 0s
0 0 1.74709 0 11 1.56297 1.74709 11.8% - 0s
0 0 1.74689 0 11 1.56297 1.74689 11.8% - 0s
0 0 1.71108 0 10 1.56297 1.71108 9.48% - 0s
0 0 1.71075 0 9 1.56297 1.71075 9.46% - 0s
0 0 1.66443 0 9 1.56297 1.66443 6.49% - 0s
0 0 1.66368 0 9 1.56297 1.66368 6.44% - 0s
0 0 1.64082 0 9 1.56297 1.64082 4.98% - 0s
0 0 1.62892 0 8 1.56297 1.62892 4.22% - 0s
0 0 1.62199 0 8 1.56297 1.62199 3.78% - 0s
0 0 1.61766 0 8 1.56297 1.61766 3.50% - 0s
0 0 1.61702 0 9 1.56297 1.61702 3.46% - 0s
0 0 1.61702 0 9 1.56297 1.61702 3.46% - 0s
0 0 1.61146 0 9 1.56297 1.61146 3.10% - 0s
0 0 1.61144 0 9 1.56297 1.61144 3.10% - 0s
0 0 1.60939 0 9 1.56297 1.60939 2.97% - 0s
0 0 1.60938 0 9 1.56297 1.60938 2.97% - 0s
0 0 1.60871 0 9 1.56297 1.60871 2.93% - 0s
0 0 1.60852 0 9 1.56297 1.60852 2.91% - 0s
0 0 1.60847 0 9 1.56297 1.60847 2.91% - 0s
0 0 1.57569 0 3 1.56297 1.57569 0.81% - 0s
Cutting planes:
Gomory: 1
Implied bound: 3
MIR: 8
Flow cover: 3
Explored 1 nodes (455 simplex iterations) in 0.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.56297 1.55737 1.55183 1.33929
Optimal solution found (tolerance 1.00e-02)
Best objective 1.562967293211e+00, best bound 1.575692307408e+00, gap 0.8142%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprc33_ql_.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1ym4yyu1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.31184
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 2.008250e+00, 154 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 2.00825 0 14 1.31184 2.00825 53.1% - 0s
0 0 1.77475 0 12 1.31184 1.77475 35.3% - 0s
0 0 1.77429 0 13 1.31184 1.77429 35.3% - 0s
0 0 1.77358 0 13 1.31184 1.77358 35.2% - 0s
0 0 1.77357 0 13 1.31184 1.77357 35.2% - 0s
0 0 1.77357 0 13 1.31184 1.77357 35.2% - 0s
H 0 0 1.4872354 1.77357 19.3% - 0s
0 2 1.77357 0 13 1.48724 1.77357 19.3% - 0s
Cutting planes:
Gomory: 5
Implied bound: 1
MIR: 1
Flow cover: 13
Explored 32 nodes (426 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.48724 1.31184
Optimal solution found (tolerance 1.00e-02)
Best objective 1.487235358436e+00, best bound 1.487235358436e+00, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6ya2i7nf.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq76mb9zy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25318
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.968978e+00, 173 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96898 0 16 1.25318 1.96898 57.1% - 0s
0 0 1.78007 0 17 1.25318 1.78007 42.0% - 0s
0 0 1.77994 0 17 1.25318 1.77994 42.0% - 0s
0 0 1.77654 0 22 1.25318 1.77654 41.8% - 0s
0 0 1.77559 0 22 1.25318 1.77559 41.7% - 0s
0 0 1.77396 0 25 1.25318 1.77396 41.6% - 0s
0 0 1.77359 0 24 1.25318 1.77359 41.5% - 0s
0 0 1.77343 0 24 1.25318 1.77343 41.5% - 0s
0 0 1.77343 0 24 1.25318 1.77343 41.5% - 0s
H 0 0 1.3822584 1.77343 28.3% - 0s
0 2 1.74002 0 16 1.38226 1.74002 25.9% - 0s
* 80 5 18 1.4258735 1.45047 1.73% 5.7 0s
Cutting planes:
Gomory: 8
Implied bound: 5
MIR: 3
Flow cover: 15
Explored 93 nodes (802 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.42587 1.38226 1.25318
Optimal solution found (tolerance 1.00e-02)
Best objective 1.425873488886e+00, best bound 1.439204807772e+00, gap 0.9350%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpuqswo9u1.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppbbfhyri.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-03, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24558
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.969559e+00, 196 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.96956 0 19 1.24558 1.96956 58.1% - 0s
0 0 1.73904 0 26 1.24558 1.73904 39.6% - 0s
0 0 1.73901 0 26 1.24558 1.73901 39.6% - 0s
0 0 1.71852 0 31 1.24558 1.71852 38.0% - 0s
H 0 0 1.4033695 1.71852 22.5% - 0s
H 0 0 1.4033695 1.71852 22.5% - 0s
0 0 1.71437 0 42 1.40337 1.71437 22.2% - 0s
0 0 1.71399 0 42 1.40337 1.71399 22.1% - 0s
0 0 1.71356 0 43 1.40337 1.71356 22.1% - 0s
0 0 1.71172 0 42 1.40337 1.71172 22.0% - 0s
0 0 1.71167 0 44 1.40337 1.71167 22.0% - 0s
0 0 1.71160 0 42 1.40337 1.71160 22.0% - 0s
0 0 1.71160 0 42 1.40337 1.71160 22.0% - 0s
0 1 1.71160 0 42 1.40337 1.71160 22.0% - 0s
Cutting planes:
Gomory: 7
Cover: 1
Implied bound: 13
MIR: 3
Flow cover: 19
Explored 90 nodes (855 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.40337 1.40337 1.24558
Optimal solution found (tolerance 1.00e-02)
Warning: max constraint violation (2.2788e-06) exceeds tolerance
Best objective 1.403369535738e+00, best bound 1.403369535738e+00, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6yow_oys.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpver5cacm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.21355
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.991048e+00, 223 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99105 0 22 1.21355 1.99105 64.1% - 0s
0 0 1.76205 0 27 1.21355 1.76205 45.2% - 0s
0 0 1.71109 0 32 1.21355 1.71109 41.0% - 0s
0 0 1.70453 0 33 1.21355 1.70453 40.5% - 0s
0 0 1.70404 0 34 1.21355 1.70404 40.4% - 0s
0 0 1.70375 0 34 1.21355 1.70375 40.4% - 0s
0 0 1.69261 0 39 1.21355 1.69261 39.5% - 0s
0 0 1.69243 0 39 1.21355 1.69243 39.5% - 0s
0 0 1.69192 0 39 1.21355 1.69192 39.4% - 0s
0 0 1.69192 0 39 1.21355 1.69192 39.4% - 0s
H 0 0 1.4118843 1.69192 19.8% - 0s
H 0 0 1.4150975 1.69192 19.6% - 0s
0 1 1.69192 0 39 1.41510 1.69192 19.6% - 0s
* 110 11 21 1.4200064 1.44181 1.54% 5.7 0s
Cutting planes:
Gomory: 10
Cover: 1
Implied bound: 7
MIR: 5
Flow cover: 18
Explored 127 nodes (1121 simplex iterations) in 0.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 1.42001 1.4151 1.41188 1.21355
Optimal solution found (tolerance 1.00e-02)
Best objective 1.420006418641e+00, best bound 1.420006418641e+00, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzk1dzr3r.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu4n3_um8.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.24582
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.998967e+00, 232 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99897 0 25 1.24582 1.99897 60.5% - 0s
0 0 1.74126 0 41 1.24582 1.74126 39.8% - 0s
0 0 1.72963 0 44 1.24582 1.72963 38.8% - 0s
0 0 1.72917 0 45 1.24582 1.72917 38.8% - 0s
0 0 1.72876 0 46 1.24582 1.72876 38.8% - 0s
0 0 1.72850 0 46 1.24582 1.72850 38.7% - 0s
0 0 1.72786 0 47 1.24582 1.72786 38.7% - 0s
0 0 1.72612 0 47 1.24582 1.72612 38.6% - 0s
0 0 1.72612 0 45 1.24582 1.72612 38.6% - 0s
0 1 1.72612 0 45 1.24582 1.72612 38.6% - 0s
* 85 56 36 1.3158409 1.50671 14.5% 6.4 0s
* 183 81 32 1.3814709 1.48744 7.67% 5.0 0s
* 420 55 32 1.4158238 1.44844 2.30% 4.8 0s
* 460 8 32 1.4196958 1.44703 1.93% 4.8 0s
Cutting planes:
Gomory: 13
Cover: 1
Implied bound: 9
MIR: 2
Flow cover: 28
Inf proof: 2
Explored 509 nodes (2802 simplex iterations) in 0.34 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.4197 1.41582 1.38147 ... 1.24582
Optimal solution found (tolerance 1.00e-02)
Best objective 1.419695752506e+00, best bound 1.419695752506e+00, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp711h4pr5.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnc97hg0a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.26298
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.997414e+00, 267 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.99741 0 28 1.26298 1.99741 58.2% - 0s
0 0 1.72129 0 39 1.26298 1.72129 36.3% - 0s
0 0 1.70843 0 43 1.26298 1.70843 35.3% - 0s
0 0 1.70716 0 44 1.26298 1.70716 35.2% - 0s
0 0 1.70655 0 45 1.26298 1.70655 35.1% - 0s
0 0 1.70630 0 45 1.26298 1.70630 35.1% - 0s
0 0 1.70397 0 46 1.26298 1.70397 34.9% - 0s
0 0 1.70334 0 48 1.26298 1.70334 34.9% - 0s
0 0 1.70334 0 46 1.26298 1.70334 34.9% - 0s
0 1 1.70334 0 46 1.26298 1.70334 34.9% - 0s
* 682 281 44 1.2860741 1.43242 11.4% 5.6 0s
* 1532 332 42 1.3051972 1.40836 7.90% 6.0 0s
* 1726 155 41 1.3573034 1.40103 3.22% 6.0 0s
* 1745 152 39 1.3585505 1.40074 3.11% 6.0 0s
* 1749 115 38 1.3683463 1.40074 2.37% 6.0 0s
* 1750 107 38 1.3694493 1.40074 2.28% 6.0 0s
* 1852 2 35 1.3966558 1.39666 0.00% 6.1 0s
Cutting planes:
Gomory: 20
Cover: 10
Implied bound: 19
MIR: 3
Flow cover: 25
Inf proof: 22
Explored 1950 nodes (12403 simplex iterations) in 0.77 seconds
Thread count was 4 (of 4 available processors)
Solution count 8: 1.39666 1.36945 1.36835 ... 1.26298
Optimal solution found (tolerance 1.00e-02)
Best objective 1.396655818956e+00, best bound 1.396655818956e+00, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpy79jn8d_.pyomo.lp
Reading time = 0.01 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp44qb9nkw.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25483
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.988613e+00, 300 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.98861 0 31 1.25483 1.98861 58.5% - 0s
0 0 1.69356 0 44 1.25483 1.69356 35.0% - 0s
0 0 1.67729 0 37 1.25483 1.67729 33.7% - 0s
0 0 1.67689 0 38 1.25483 1.67689 33.6% - 0s
0 0 1.67653 0 38 1.25483 1.67653 33.6% - 0s
0 0 1.67633 0 38 1.25483 1.67633 33.6% - 0s
0 0 1.67575 0 42 1.25483 1.67575 33.5% - 0s
0 0 1.67575 0 42 1.25483 1.67575 33.5% - 0s
0 1 1.67575 0 40 1.25483 1.67575 33.5% - 0s
* 605 76 36 1.3809778 1.41922 2.77% 6.5 0s
Cutting planes:
Gomory: 18
Cover: 1
Implied bound: 13
MIR: 1
Flow cover: 27
Inf proof: 1
Explored 779 nodes (5671 simplex iterations) in 0.45 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.38098 1.25483
Optimal solution found (tolerance 1.00e-02)
Best objective 1.380977830210e+00, best bound 1.393237189793e+00, gap 0.8877%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmtglmml1.pyomo.lp
Reading time = 0.00 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8qlj67eh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.25241
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.953740e+00, 359 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.95374 0 34 1.25241 1.95374 56.0% - 0s
0 0 1.61355 0 49 1.25241 1.61355 28.8% - 0s
0 0 1.61299 0 49 1.25241 1.61299 28.8% - 0s
0 0 1.60307 0 50 1.25241 1.60307 28.0% - 0s
0 0 1.60252 0 50 1.25241 1.60252 28.0% - 0s
0 0 1.60187 0 56 1.25241 1.60187 27.9% - 0s
0 0 1.60164 0 57 1.25241 1.60164 27.9% - 0s
0 0 1.60000 0 60 1.25241 1.60000 27.8% - 0s
0 0 1.59996 0 58 1.25241 1.59996 27.8% - 0s
0 0 1.59978 0 63 1.25241 1.59978 27.7% - 0s
0 0 1.59978 0 63 1.25241 1.59978 27.7% - 0s
0 1 1.59978 0 57 1.25241 1.59978 27.7% - 0s
* 479 77 45 1.3483070 1.39595 3.53% 6.0 0s
Cutting planes:
Gomory: 12
Cover: 2
Implied bound: 12
MIR: 7
Flow cover: 38
Inf proof: 7
Explored 784 nodes (5656 simplex iterations) in 0.56 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.34831 1.25241
Optimal solution found (tolerance 1.00e-02)
Best objective 1.348306965939e+00, best bound 1.361273735018e+00, gap 0.9617%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpukej6son.pyomo.lp
Reading time = 0.00 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpie1h8lel.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23128
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.925793e+00, 331 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.92579 0 37 1.23128 1.92579 56.4% - 0s
0 0 1.60707 0 35 1.23128 1.60707 30.5% - 0s
0 0 1.59969 0 47 1.23128 1.59969 29.9% - 0s
0 0 1.59859 0 48 1.23128 1.59859 29.8% - 0s
0 0 1.59783 0 49 1.23128 1.59783 29.8% - 0s
0 0 1.59758 0 49 1.23128 1.59758 29.7% - 0s
0 0 1.59757 0 50 1.23128 1.59757 29.7% - 0s
0 0 1.59548 0 50 1.23128 1.59548 29.6% - 0s
0 0 1.59543 0 51 1.23128 1.59543 29.6% - 0s
0 0 1.59528 0 53 1.23128 1.59528 29.6% - 0s
0 0 1.59528 0 53 1.23128 1.59528 29.6% - 0s
0 1 1.59528 0 49 1.23128 1.59528 29.6% - 0s
* 1433 119 40 1.3268674 1.34408 1.30% 7.0 0s
* 1437 116 41 1.3280899 1.34408 1.20% 7.0 0s
Cutting planes:
Gomory: 23
Cover: 14
Implied bound: 20
MIR: 5
Flow cover: 32
Inf proof: 8
Explored 1551 nodes (11400 simplex iterations) in 0.82 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.32809 1.32687 1.23128
Optimal solution found (tolerance 1.00e-02)
Best objective 1.328089931048e+00, best bound 1.337859628661e+00, gap 0.7356%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7j9evini.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpidlnmv1j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-03, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.23756
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.831797e+00, 366 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.83180 0 40 1.23756 1.83180 48.0% - 0s
0 0 1.50499 0 36 1.23756 1.50499 21.6% - 0s
0 0 1.50492 0 36 1.23756 1.50492 21.6% - 0s
0 0 1.47815 0 54 1.23756 1.47815 19.4% - 0s
0 0 1.47564 0 49 1.23756 1.47564 19.2% - 0s
0 0 1.47538 0 50 1.23756 1.47538 19.2% - 0s
0 0 1.47516 0 50 1.23756 1.47516 19.2% - 0s
0 0 1.46625 0 56 1.23756 1.46625 18.5% - 0s
0 0 1.46596 0 54 1.23756 1.46596 18.5% - 0s
0 0 1.46478 0 53 1.23756 1.46478 18.4% - 0s
0 0 1.46478 0 50 1.23756 1.46478 18.4% - 0s
0 1 1.46478 0 50 1.23756 1.46478 18.4% - 0s
* 224 94 52 1.2522540 1.29617 3.51% 7.4 0s
Cutting planes:
Gomory: 25
Cover: 3
Implied bound: 13
MIR: 5
Flow cover: 35
Inf proof: 3
Explored 871 nodes (5717 simplex iterations) in 0.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.25225 1.23756
Optimal solution found (tolerance 1.00e-02)
Best objective 1.252254029263e+00, best bound 1.258676716546e+00, gap 0.5129%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2b3e8d6y.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt71le2vs.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.14727
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.796543e+00, 391 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.79654 0 45 1.14727 1.79654 56.6% - 0s
0 0 1.46690 0 42 1.14727 1.46690 27.9% - 0s
0 0 1.46690 0 42 1.14727 1.46690 27.9% - 0s
0 0 1.44288 0 56 1.14727 1.44288 25.8% - 0s
0 0 1.43970 0 50 1.14727 1.43970 25.5% - 0s
0 0 1.43946 0 54 1.14727 1.43946 25.5% - 0s
0 0 1.42590 0 61 1.14727 1.42590 24.3% - 0s
0 0 1.42542 0 59 1.14727 1.42542 24.2% - 0s
0 0 1.42542 0 58 1.14727 1.42542 24.2% - 0s
0 0 1.42529 0 61 1.14727 1.42529 24.2% - 0s
0 0 1.42529 0 51 1.14727 1.42529 24.2% - 0s
0 1 1.42529 0 50 1.14727 1.42529 24.2% - 0s
* 791 267 58 1.2099469 1.26442 4.50% 7.3 0s
* 1444 99 54 1.2167654 1.22426 0.62% 8.0 1s
Cutting planes:
Gomory: 46
Cover: 1
Implied bound: 5
Projected implied bound: 9
MIR: 6
Flow cover: 16
Inf proof: 5
Explored 1456 nodes (12510 simplex iterations) in 1.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.21677 1.20995 1.14727
Optimal solution found (tolerance 1.00e-02)
Best objective 1.216765414444e+00, best bound 1.224264552929e+00, gap 0.6163%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1i3gydlm.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp794s9dak.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12761
Presolve removed 340 rows and 222 columns
Presolve time: 0.02s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.733081e+00, 412 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.73308 0 48 1.12761 1.73308 53.7% - 0s
0 0 1.39829 0 58 1.12761 1.39829 24.0% - 0s
0 0 1.37683 0 58 1.12761 1.37683 22.1% - 0s
0 0 1.37654 0 59 1.12761 1.37654 22.1% - 0s
0 0 1.37627 0 60 1.12761 1.37627 22.1% - 0s
0 0 1.37609 0 60 1.12761 1.37609 22.0% - 0s
0 0 1.37572 0 67 1.12761 1.37572 22.0% - 0s
0 0 1.37572 0 63 1.12761 1.37572 22.0% - 0s
0 1 1.37572 0 61 1.12761 1.37572 22.0% - 0s
* 493 214 57 1.1567166 1.23008 6.34% 7.9 0s
* 1028 362 64 1.1576822 1.22766 6.05% 7.6 1s
* 1029 343 64 1.1583721 1.22766 5.98% 7.6 1s
H 1062 313 1.1593450 1.22766 5.89% 7.9 1s
Cutting planes:
Gomory: 43
Cover: 3
Implied bound: 9
Projected implied bound: 6
MIR: 1
Flow cover: 17
Inf proof: 7
Explored 1338 nodes (11560 simplex iterations) in 1.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 1.15934 1.15837 1.15768 ... 1.12761
Optimal solution found (tolerance 1.00e-02)
Best objective 1.159344981435e+00, best bound 1.159344981435e+00, gap 0.0000%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpubgxag7z.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp89w7tdht.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07813
Presolve removed 354 rows and 231 columns
Presolve time: 0.02s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.692759e+00, 465 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.69276 0 52 1.07813 1.69276 57.0% - 0s
0 0 1.35263 0 51 1.07813 1.35263 25.5% - 0s
0 0 1.35263 0 51 1.07813 1.35263 25.5% - 0s
0 0 1.33577 0 59 1.07813 1.33577 23.9% - 0s
0 0 1.33425 0 62 1.07813 1.33425 23.8% - 0s
0 0 1.33405 0 63 1.07813 1.33405 23.7% - 0s
0 0 1.32715 0 63 1.07813 1.32715 23.1% - 0s
0 0 1.32026 0 65 1.07813 1.32026 22.5% - 0s
0 0 1.31980 0 66 1.07813 1.31980 22.4% - 0s
0 0 1.31980 0 67 1.07813 1.31980 22.4% - 0s
0 0 1.31820 0 65 1.07813 1.31820 22.3% - 0s
0 0 1.31813 0 67 1.07813 1.31813 22.3% - 0s
0 0 1.31807 0 65 1.07813 1.31807 22.3% - 0s
0 0 1.31807 0 58 1.07813 1.31807 22.3% - 0s
0 1 1.31807 0 58 1.07813 1.31807 22.3% - 0s
H 1820 239 1.1271893 1.14766 1.82% 8.6 1s
Cutting planes:
Gomory: 44
Cover: 4
Implied bound: 4
Projected implied bound: 6
MIR: 5
Flow cover: 18
Inf proof: 11
Explored 2416 nodes (22971 simplex iterations) in 2.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.12719 1.07813
Optimal solution found (tolerance 1.00e-02)
Best objective 1.127189281724e+00, best bound 1.138224697940e+00, gap 0.9790%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqu_swdld.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwk8635h5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12098
Presolve removed 368 rows and 240 columns
Presolve time: 0.02s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.662833e+00, 500 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.66283 0 55 1.12098 1.66283 48.3% - 0s
0 0 1.35023 0 59 1.12098 1.35023 20.5% - 0s
0 0 1.35023 0 59 1.12098 1.35023 20.5% - 0s
0 0 1.34713 0 68 1.12098 1.34713 20.2% - 0s
0 0 1.34626 0 62 1.12098 1.34626 20.1% - 0s
0 0 1.34432 0 67 1.12098 1.34432 19.9% - 0s
0 0 1.34432 0 71 1.12098 1.34432 19.9% - 0s
0 0 1.34407 0 73 1.12098 1.34407 19.9% - 0s
0 0 1.34407 0 68 1.12098 1.34407 19.9% - 0s
0 2 1.34407 0 67 1.12098 1.34407 19.9% - 0s
* 1712 510 64 1.1231540 1.15293 2.65% 8.5 2s
Cutting planes:
Gomory: 40
Cover: 1
Implied bound: 3
Projected implied bound: 24
MIR: 8
Flow cover: 18
Inf proof: 5
Explored 1964 nodes (17643 simplex iterations) in 2.33 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.12315 1.12098
Optimal solution found (tolerance 1.00e-02)
Best objective 1.123154004419e+00, best bound 1.133005930130e+00, gap 0.8772%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmplgwm9ue_.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdrpsco9t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.12899
Presolve removed 382 rows and 249 columns
Presolve time: 0.02s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.632448e+00, 493 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.63245 0 59 1.12899 1.63245 44.6% - 0s
0 0 1.34651 0 66 1.12899 1.34651 19.3% - 0s
0 0 1.34646 0 66 1.12899 1.34646 19.3% - 0s
0 0 1.33834 0 68 1.12899 1.33834 18.5% - 0s
0 0 1.33804 0 72 1.12899 1.33804 18.5% - 0s
0 0 1.33584 0 74 1.12899 1.33584 18.3% - 0s
0 0 1.33584 0 61 1.12899 1.33584 18.3% - 0s
0 2 1.33584 0 61 1.12899 1.33584 18.3% - 0s
Cutting planes:
Gomory: 34
Cover: 7
Implied bound: 19
MIR: 10
Flow cover: 42
Inf proof: 29
Explored 3185 nodes (25323 simplex iterations) in 1.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.12899
Optimal solution found (tolerance 1.00e-02)
Best objective 1.128988172903e+00, best bound 1.139173545512e+00, gap 0.9022%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9rs4my7l.pyomo.lp
Reading time = 0.01 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5n5dbbtq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.11973
Presolve removed 396 rows and 258 columns
Presolve time: 0.02s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.616692e+00, 503 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61669 0 61 1.11973 1.61669 44.4% - 0s
0 0 1.33119 0 77 1.11973 1.33119 18.9% - 0s
0 0 1.33115 0 77 1.11973 1.33115 18.9% - 0s
0 0 1.32364 0 72 1.11973 1.32364 18.2% - 0s
0 0 1.32351 0 72 1.11973 1.32351 18.2% - 0s
0 0 1.32271 0 74 1.11973 1.32271 18.1% - 0s
0 0 1.32271 0 64 1.11973 1.32271 18.1% - 0s
0 2 1.32271 0 64 1.11973 1.32271 18.1% - 0s
Cutting planes:
Gomory: 33
Cover: 5
Implied bound: 22
MIR: 7
Flow cover: 47
Inf proof: 28
Explored 3820 nodes (33100 simplex iterations) in 2.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.11973
Optimal solution found (tolerance 1.00e-02)
Best objective 1.119730814430e+00, best bound 1.130758184736e+00, gap 0.9848%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7chf3ns_.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqv3p19b_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09695
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.580574e+00, 555 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.58057 0 63 1.09695 1.58057 44.1% - 0s
0 0 1.30997 0 72 1.09695 1.30997 19.4% - 0s
0 0 1.30961 0 72 1.09695 1.30961 19.4% - 0s
0 0 1.30166 0 80 1.09695 1.30166 18.7% - 0s
0 0 1.29800 0 79 1.09695 1.29800 18.3% - 0s
0 0 1.29774 0 86 1.09695 1.29774 18.3% - 0s
0 0 1.29755 0 85 1.09695 1.29755 18.3% - 0s
0 0 1.29678 0 86 1.09695 1.29678 18.2% - 0s
0 0 1.29678 0 76 1.09695 1.29678 18.2% - 0s
0 2 1.29678 0 76 1.09695 1.29678 18.2% - 0s
* 1367 303 84 1.0969810 1.12505 2.56% 9.9 2s
Cutting planes:
Gomory: 54
Implied bound: 3
Projected implied bound: 10
MIR: 3
Flow cover: 27
Inf proof: 5
Explored 1601 nodes (16784 simplex iterations) in 2.42 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.09698 1.09695
Optimal solution found (tolerance 1.00e-02)
Best objective 1.096981044924e+00, best bound 1.107885583260e+00, gap 0.9940%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcim0rzas.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpd92gfxo1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.08576
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.552813e+00, 563 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.55281 0 63 1.08576 1.55281 43.0% - 0s
0 0 1.28992 0 78 1.08576 1.28992 18.8% - 0s
0 0 1.28957 0 78 1.08576 1.28957 18.8% - 0s
0 0 1.27525 0 89 1.08576 1.27525 17.5% - 0s
0 0 1.27479 0 88 1.08576 1.27479 17.4% - 0s
0 0 1.27407 0 89 1.08576 1.27407 17.3% - 0s
0 0 1.27407 0 77 1.08576 1.27407 17.3% - 0s
0 2 1.27407 0 77 1.08576 1.27407 17.3% - 0s
Cutting planes:
Gomory: 42
Cover: 7
Implied bound: 17
MIR: 5
Flow cover: 45
Inf proof: 19
Explored 2652 nodes (21244 simplex iterations) in 1.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.08576
Optimal solution found (tolerance 1.00e-02)
Best objective 1.085756359662e+00, best bound 1.096541178625e+00, gap 0.9933%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpeaqvwpfj.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpiszm73mp.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.07432
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.534165e+00, 565 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.53416 0 64 1.07432 1.53416 42.8% - 0s
0 0 1.27149 0 84 1.07432 1.27149 18.4% - 0s
0 0 1.27111 0 84 1.07432 1.27111 18.3% - 0s
0 0 1.26395 0 84 1.07432 1.26395 17.7% - 0s
0 0 1.26393 0 84 1.07432 1.26393 17.6% - 0s
0 0 1.26340 0 88 1.07432 1.26340 17.6% - 0s
0 0 1.26340 0 69 1.07432 1.26340 17.6% - 0s
0 2 1.26340 0 69 1.07432 1.26340 17.6% - 0s
* 408 269 89 1.0749429 1.14500 6.52% 7.7 0s
Cutting planes:
Gomory: 62
Cover: 1
Implied bound: 3
Projected implied bound: 15
MIR: 7
Flow cover: 45
Inf proof: 12
Explored 2193 nodes (25884 simplex iterations) in 3.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.07494 1.07432
Optimal solution found (tolerance 1.00e-02)
Best objective 1.074942913477e+00, best bound 1.085661533520e+00, gap 0.9971%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5w6twij4.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmph7q1erqu.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.05118
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.487811e+00, 630 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.48781 0 68 1.05118 1.48781 41.5% - 0s
0 0 1.22258 0 87 1.05118 1.22258 16.3% - 0s
0 0 1.22212 0 88 1.05118 1.22212 16.3% - 0s
0 0 1.21223 0 94 1.05118 1.21223 15.3% - 0s
0 0 1.21222 0 92 1.05118 1.21222 15.3% - 0s
0 0 1.21097 0 101 1.05118 1.21097 15.2% - 0s
0 0 1.21097 0 87 1.05118 1.21097 15.2% - 0s
0 2 1.21097 0 83 1.05118 1.21097 15.2% - 0s
Cutting planes:
Gomory: 71
Cover: 1
Implied bound: 3
Projected implied bound: 16
Clique: 1
MIR: 5
Flow cover: 26
Inf proof: 17
Explored 3058 nodes (31698 simplex iterations) in 3.54 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.05118
Optimal solution found (tolerance 1.00e-02)
Best objective 1.051181164056e+00, best bound 1.059704234634e+00, gap 0.8108%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqzk3754f.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbutfsygi.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.04019
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.444095e+00, 614 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.44409 0 69 1.04019 1.44409 38.8% - 0s
0 0 1.20414 0 92 1.04019 1.20414 15.8% - 0s
0 0 1.20358 0 88 1.04019 1.20358 15.7% - 0s
0 0 1.20355 0 87 1.04019 1.20355 15.7% - 0s
0 0 1.20203 0 101 1.04019 1.20203 15.6% - 0s
0 0 1.20200 0 100 1.04019 1.20200 15.6% - 0s
0 0 1.20135 0 96 1.04019 1.20135 15.5% - 0s
0 0 1.20135 0 86 1.04019 1.20135 15.5% - 0s
0 2 1.20135 0 84 1.04019 1.20135 15.5% - 0s
Cutting planes:
Gomory: 75
Cover: 2
Implied bound: 4
Projected implied bound: 28
MIR: 11
Flow cover: 30
Inf proof: 6
Explored 2263 nodes (27545 simplex iterations) in 3.36 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.04019
Optimal solution found (tolerance 1.00e-02)
Best objective 1.040194478368e+00, best bound 1.050212927445e+00, gap 0.9631%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnoeibn_c.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpcy29mf8u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.02534
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.400333e+00, 714 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.40033 0 72 1.02534 1.40033 36.6% - 0s
0 0 1.21133 0 93 1.02534 1.21133 18.1% - 0s
0 0 1.20348 0 97 1.02534 1.20348 17.4% - 0s
0 0 1.20220 0 97 1.02534 1.20220 17.2% - 0s
0 0 1.20215 0 97 1.02534 1.20215 17.2% - 0s
0 0 1.20011 0 113 1.02534 1.20011 17.0% - 0s
0 0 1.19861 0 113 1.02534 1.19861 16.9% - 0s
0 0 1.19861 0 86 1.02534 1.19861 16.9% - 0s
0 2 1.19861 0 86 1.02534 1.19861 16.9% - 0s
Cutting planes:
Gomory: 42
Cover: 10
Implied bound: 54
MIR: 11
Flow cover: 59
Inf proof: 29
Explored 3550 nodes (41245 simplex iterations) in 2.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.02534
Optimal solution found (tolerance 1.00e-02)
Best objective 1.025336751406e+00, best bound 1.035563307489e+00, gap 0.9974%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppwh3uq5m.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp1_twrd_a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.01651
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.380337e+00, 694 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.38034 0 76 1.01651 1.38034 35.8% - 0s
0 0 1.16861 0 93 1.01651 1.16861 15.0% - 0s
0 0 1.16844 0 93 1.01651 1.16844 14.9% - 0s
0 0 1.16721 0 96 1.01651 1.16721 14.8% - 0s
0 0 1.16721 0 79 1.01651 1.16721 14.8% - 0s
0 2 1.16721 0 79 1.01651 1.16721 14.8% - 0s
2852 377 1.03047 33 62 1.01651 1.03872 2.18% 12.9 5s
Cutting planes:
Gomory: 87
Implied bound: 11
Projected implied bound: 32
MIR: 10
Flow cover: 42
Inf proof: 26
Explored 3757 nodes (45628 simplex iterations) in 5.73 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.01651
Optimal solution found (tolerance 1.00e-02)
Best objective 1.016508396632e+00, best bound 1.026433631025e+00, gap 0.9764%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8995sldy.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp242dyf_d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.998868
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.346884e+00, 735 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.34688 0 80 0.99887 1.34688 34.8% - 0s
0 0 1.15277 0 106 0.99887 1.15277 15.4% - 0s
0 0 1.15095 0 107 0.99887 1.15095 15.2% - 0s
0 0 1.15095 0 108 0.99887 1.15095 15.2% - 0s
0 0 1.14903 0 109 0.99887 1.14903 15.0% - 0s
0 0 1.14899 0 109 0.99887 1.14899 15.0% - 0s
0 0 1.14855 0 113 0.99887 1.14855 15.0% - 0s
0 0 1.14855 0 98 0.99887 1.14855 15.0% - 0s
0 2 1.14855 0 98 0.99887 1.14855 15.0% - 0s
2060 322 1.01717 42 59 0.99887 1.02599 2.72% 15.7 5s
Cutting planes:
Gomory: 99
Cover: 1
Implied bound: 8
Projected implied bound: 32
Clique: 1
MIR: 11
Flow cover: 41
Inf proof: 17
Explored 2805 nodes (43608 simplex iterations) in 6.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.998868
Optimal solution found (tolerance 1.00e-02)
Best objective 9.988684372214e-01, best bound 1.007636154720e+00, gap 0.8778%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6psorx3x.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdq11mkla.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.997801
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.326934e+00, 754 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.32693 0 80 0.99780 1.32693 33.0% - 0s
0 0 1.15535 0 101 0.99780 1.15535 15.8% - 0s
0 0 1.15491 0 101 0.99780 1.15491 15.7% - 0s
0 0 1.14851 0 111 0.99780 1.14851 15.1% - 0s
0 0 1.14845 0 111 0.99780 1.14845 15.1% - 0s
0 0 1.14595 0 120 0.99780 1.14595 14.8% - 0s
0 0 1.14592 0 119 0.99780 1.14592 14.8% - 0s
0 0 1.14555 0 122 0.99780 1.14555 14.8% - 0s
0 0 1.14555 0 96 0.99780 1.14555 14.8% - 0s
0 2 1.14555 0 94 0.99780 1.14555 14.8% - 0s
Cutting planes:
Gomory: 87
Implied bound: 9
Projected implied bound: 38
MIR: 7
Flow cover: 50
Inf proof: 13
Explored 2969 nodes (39977 simplex iterations) in 4.63 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.997801
Optimal solution found (tolerance 1.00e-02)
Best objective 9.978011902097e-01, best bound 1.002448689012e+00, gap 0.4658%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp42glmn8w.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4qlqnv1w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.980929
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.294512e+00, 773 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.29451 0 85 0.98093 1.29451 32.0% - 0s
0 0 1.13764 0 111 0.98093 1.13764 16.0% - 0s
0 0 1.12482 0 113 0.98093 1.12482 14.7% - 0s
0 0 1.12325 0 122 0.98093 1.12325 14.5% - 0s
0 0 1.12324 0 122 0.98093 1.12324 14.5% - 0s
0 0 1.12305 0 125 0.98093 1.12305 14.5% - 0s
0 0 1.12305 0 96 0.98093 1.12305 14.5% - 0s
0 2 1.12305 0 96 0.98093 1.12305 14.5% - 0s
Cutting planes:
Gomory: 96
Implied bound: 8
Projected implied bound: 32
MIR: 12
Flow cover: 48
Inf proof: 26
Explored 3065 nodes (42216 simplex iterations) in 4.93 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.980929
Optimal solution found (tolerance 1.00e-02)
Best objective 9.809286055165e-01, best bound 9.891971346613e-01, gap 0.8429%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppplsmz6t.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbdhdi0rq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.97796
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.273454e+00, 784 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27345 0 90 0.97796 1.27345 30.2% - 0s
0 0 1.12568 0 117 0.97796 1.12568 15.1% - 0s
0 0 1.12002 0 117 0.97796 1.12002 14.5% - 0s
0 0 1.11150 0 123 0.97796 1.11150 13.7% - 0s
0 0 1.11147 0 123 0.97796 1.11147 13.7% - 0s
0 0 1.11067 0 119 0.97796 1.11067 13.6% - 0s
0 0 1.11067 0 100 0.97796 1.11067 13.6% - 0s
0 2 1.11067 0 100 0.97796 1.11067 13.6% - 0s
2854 474 0.99207 41 72 0.97796 1.01097 3.38% 14.5 5s
Cutting planes:
Gomory: 101
Implied bound: 6
Projected implied bound: 43
MIR: 12
Flow cover: 31
Inf proof: 33
Explored 5130 nodes (71922 simplex iterations) in 7.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.97796
Optimal solution found (tolerance 1.00e-02)
Best objective 9.779602889444e-01, best bound 9.869682819217e-01, gap 0.9211%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwozdbj3e.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbvvceccg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.968841
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.243920e+00, 901 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.24392 0 91 0.96884 1.24392 28.4% - 0s
0 0 1.10650 0 107 0.96884 1.10650 14.2% - 0s
0 0 1.10575 0 106 0.96884 1.10575 14.1% - 0s
0 0 1.10426 0 113 0.96884 1.10426 14.0% - 0s
0 0 1.10421 0 113 0.96884 1.10421 14.0% - 0s
0 0 1.10411 0 115 0.96884 1.10411 14.0% - 0s
0 0 1.10411 0 91 0.96884 1.10411 14.0% - 0s
0 2 1.10411 0 91 0.96884 1.10411 14.0% - 0s
1757 609 1.00641 23 83 0.96884 1.02340 5.63% 15.6 5s
5385 793 cutoff 40 0.96884 0.99094 2.28% 16.6 10s
H 5475 788 0.9693906 0.98991 2.12% 16.6 10s
Cutting planes:
Gomory: 109
Cover: 1
Implied bound: 18
Projected implied bound: 44
MIR: 13
Flow cover: 47
Inf proof: 49
Explored 7164 nodes (115397 simplex iterations) in 11.81 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.969391 0.968841
Optimal solution found (tolerance 1.00e-02)
Best objective 9.693906356210e-01, best bound 9.782354242523e-01, gap 0.9124%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw2sdedh_.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpty90hu51.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.945639
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.209597e+00, 859 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20960 0 90 0.94564 1.20960 27.9% - 0s
0 0 1.07460 0 117 0.94564 1.07460 13.6% - 0s
0 0 1.07392 0 117 0.94564 1.07392 13.6% - 0s
0 0 1.07105 0 133 0.94564 1.07105 13.3% - 0s
0 0 1.07086 0 138 0.94564 1.07086 13.2% - 0s
0 0 1.07086 0 138 0.94564 1.07086 13.2% - 0s
0 0 1.07018 0 137 0.94564 1.07018 13.2% - 0s
0 0 1.07018 0 96 0.94564 1.07018 13.2% - 0s
0 2 1.07018 0 96 0.94564 1.07018 13.2% - 0s
1816 411 0.95595 39 91 0.94564 0.98458 4.12% 16.4 5s
Cutting planes:
Gomory: 108
Implied bound: 13
Projected implied bound: 48
MIR: 14
Flow cover: 37
Inf proof: 29
Explored 3909 nodes (58656 simplex iterations) in 7.40 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.945639
Optimal solution found (tolerance 1.00e-02)
Best objective 9.456388283168e-01, best bound 9.543850858445e-01, gap 0.9249%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo_4g_9h7.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp282ehejn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.943288
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.200990e+00, 908 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20099 0 95 0.94329 1.20099 27.3% - 0s
0 0 1.07262 0 120 0.94329 1.07262 13.7% - 0s
0 0 1.07219 0 120 0.94329 1.07219 13.7% - 0s
0 0 1.07095 0 125 0.94329 1.07095 13.5% - 0s
0 0 1.07082 0 123 0.94329 1.07082 13.5% - 0s
0 0 1.07069 0 125 0.94329 1.07069 13.5% - 0s
0 0 1.07069 0 98 0.94329 1.07069 13.5% - 0s
0 2 1.07069 0 96 0.94329 1.07069 13.5% - 0s
1849 371 0.94534 44 81 0.94329 0.98313 4.22% 17.3 5s
Cutting planes:
Gomory: 84
Implied bound: 6
Projected implied bound: 39
MIR: 9
Flow cover: 36
Inf proof: 30
Explored 3935 nodes (56703 simplex iterations) in 7.05 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.943288
Optimal solution found (tolerance 1.00e-02)
Best objective 9.432878507386e-01, best bound 9.490797401724e-01, gap 0.6140%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_c1sjt2b.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpb0hitir9.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.928284
Presolve removed 606 rows and 393 columns
Presolve time: 0.03s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.180800e+00, 922 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18080 0 97 0.92828 1.18080 27.2% - 0s
0 0 1.05521 0 128 0.92828 1.05521 13.7% - 0s
0 0 1.05474 0 128 0.92828 1.05474 13.6% - 0s
0 0 1.05336 0 130 0.92828 1.05336 13.5% - 0s
0 0 1.05335 0 130 0.92828 1.05335 13.5% - 0s
0 0 1.05243 0 128 0.92828 1.05243 13.4% - 0s
0 0 1.05233 0 131 0.92828 1.05233 13.4% - 0s
0 0 1.05233 0 133 0.92828 1.05233 13.4% - 0s
0 0 1.05233 0 100 0.92828 1.05233 13.4% - 0s
0 2 1.05233 0 100 0.92828 1.05233 13.4% - 0s
* 1244 538 146 0.9285063 0.98409 5.99% 15.2 4s
1658 548 0.94035 33 85 0.92851 0.97052 4.53% 15.4 5s
Cutting planes:
Gomory: 125
Implied bound: 9
Projected implied bound: 42
Clique: 2
MIR: 10
Flow cover: 47
Inf proof: 25
Explored 5103 nodes (70080 simplex iterations) in 8.67 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.928506 0.928284
Optimal solution found (tolerance 1.00e-02)
Best objective 9.285062685247e-01, best bound 9.362279324234e-01, gap 0.8316%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprk7u2391.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpi9ez6dwq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.921678
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 1.169973e+00, 967 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16997 0 95 0.92168 1.16997 26.9% - 0s
0 0 1.04971 0 120 0.92168 1.04971 13.9% - 0s
0 0 1.04930 0 120 0.92168 1.04930 13.8% - 0s
0 0 1.04815 0 124 0.92168 1.04815 13.7% - 0s
0 0 1.04815 0 124 0.92168 1.04815 13.7% - 0s
0 0 1.04271 0 129 0.92168 1.04271 13.1% - 0s
0 0 1.04253 0 130 0.92168 1.04253 13.1% - 0s
0 0 1.04227 0 131 0.92168 1.04227 13.1% - 0s
0 0 1.04227 0 111 0.92168 1.04227 13.1% - 0s
0 2 1.04227 0 111 0.92168 1.04227 13.1% - 0s
1670 461 cutoff 28 0.92168 0.97944 6.27% 20.0 5s
H 3335 950 0.9216783 0.96498 4.70% 18.9 7s
5255 1244 cutoff 37 0.92168 0.95572 3.69% 18.5 10s
8585 784 0.93253 51 67 0.92168 0.93763 1.73% 19.7 15s
Cutting planes:
Gomory: 124
Cover: 2
Implied bound: 23
Projected implied bound: 44
MIR: 12
Flow cover: 40
Inf proof: 82
Explored 10055 nodes (194380 simplex iterations) in 16.92 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.921678 0.921678
Optimal solution found (tolerance 1.00e-02)
Best objective 9.216783200837e-01, best bound 9.307543565659e-01, gap 0.9847%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpih9iptd6.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdibg8g7_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.912946
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 1.152218e+00, 1042 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.15222 0 100 0.91295 1.15222 26.2% - 0s
0 0 1.03794 0 131 0.91295 1.03794 13.7% - 0s
0 0 1.03779 0 131 0.91295 1.03779 13.7% - 0s
0 0 1.03345 0 133 0.91295 1.03345 13.2% - 0s
0 0 1.03345 0 133 0.91295 1.03345 13.2% - 0s
0 0 1.03333 0 136 0.91295 1.03333 13.2% - 0s
0 0 1.03333 0 102 0.91295 1.03333 13.2% - 0s
0 2 1.03333 0 102 0.91295 1.03333 13.2% - 0s
1941 575 0.94205 29 98 0.91295 0.96140 5.31% 17.2 5s
Cutting planes:
Gomory: 118
Implied bound: 10
Projected implied bound: 51
MIR: 5
Flow cover: 62
Inf proof: 33
Explored 5294 nodes (74783 simplex iterations) in 8.86 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.912946
Optimal solution found (tolerance 1.00e-02)
Best objective 9.129462544798e-01, best bound 9.218678934165e-01, gap 0.9772%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkjc8o1rh.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptlh5gbeh.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.906839
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 1.137390e+00, 979 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13739 0 103 0.90684 1.13739 25.4% - 0s
0 0 1.03382 0 144 0.90684 1.03382 14.0% - 0s
0 0 1.03141 0 141 0.90684 1.03141 13.7% - 0s
0 0 1.02617 0 139 0.90684 1.02617 13.2% - 0s
0 0 1.02596 0 139 0.90684 1.02596 13.1% - 0s
0 0 1.02533 0 140 0.90684 1.02533 13.1% - 0s
0 0 1.02530 0 140 0.90684 1.02530 13.1% - 0s
0 0 1.02517 0 142 0.90684 1.02517 13.0% - 0s
0 0 1.02517 0 112 0.90684 1.02517 13.0% - 0s
0 2 1.02517 0 112 0.90684 1.02517 13.0% - 0s
2015 758 0.90792 33 96 0.90684 0.96115 5.99% 15.7 5s
4646 788 0.91424 49 91 0.90684 0.93322 2.91% 19.5 10s
Cutting planes:
Gomory: 96
Cover: 2
Implied bound: 15
Projected implied bound: 48
MIR: 12
Flow cover: 57
Inf proof: 42
Explored 7411 nodes (137943 simplex iterations) in 13.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.906839
Optimal solution found (tolerance 1.00e-02)
Best objective 9.068393116824e-01, best bound 9.157821412793e-01, gap 0.9862%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph75vtwkg.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpv4jpvu3v.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.895923
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 1.118505e+00, 1004 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.11850 0 106 0.89592 1.11850 24.8% - 0s
0 0 1.03384 0 113 0.89592 1.03384 15.4% - 0s
0 0 1.03378 0 113 0.89592 1.03378 15.4% - 0s
0 0 1.02775 0 128 0.89592 1.02775 14.7% - 0s
0 0 1.02764 0 127 0.89592 1.02764 14.7% - 0s
0 0 1.02679 0 126 0.89592 1.02679 14.6% - 0s
0 0 1.02678 0 124 0.89592 1.02678 14.6% - 0s
0 0 1.02663 0 123 0.89592 1.02663 14.6% - 0s
0 0 1.02663 0 112 0.89592 1.02663 14.6% - 0s
0 2 1.02663 0 112 0.89592 1.02663 14.6% - 0s
1590 559 0.91472 20 138 0.89592 0.94682 5.68% 18.5 5s
H 3323 561 0.8959234 0.92474 3.22% 17.7 7s
4845 403 0.89887 68 67 0.89592 0.91153 1.74% 17.5 10s
Cutting planes:
Gomory: 131
Cover: 3
Implied bound: 10
Projected implied bound: 50
MIR: 12
Flow cover: 55
Inf proof: 43
Explored 5630 nodes (98775 simplex iterations) in 11.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.895923 0.895923
Optimal solution found (tolerance 1.00e-02)
Best objective 8.959234345379e-01, best bound 9.046828611085e-01, gap 0.9777%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp98yo_vuq.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8fwyz23z.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.883501
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 1.096913e+00, 1121 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09691 0 106 0.88350 1.09691 24.2% - 0s
0 0 1.01411 0 139 0.88350 1.01411 14.8% - 0s
0 0 1.01366 0 139 0.88350 1.01366 14.7% - 0s
0 0 1.01009 0 158 0.88350 1.01009 14.3% - 0s
0 0 1.00998 0 157 0.88350 1.00998 14.3% - 0s
0 0 1.00861 0 156 0.88350 1.00861 14.2% - 0s
0 0 1.00860 0 156 0.88350 1.00860 14.2% - 0s
0 0 1.00806 0 158 0.88350 1.00806 14.1% - 0s
0 0 1.00806 0 114 0.88350 1.00806 14.1% - 0s
0 2 1.00806 0 114 0.88350 1.00806 14.1% - 0s
1389 566 0.88990 32 114 0.88350 0.94397 6.84% 19.5 5s
H 2177 444 0.8835015 0.92956 5.21% 24.1 7s
3483 540 0.88992 38 110 0.88350 0.91110 3.12% 26.3 10s
H 3798 608 0.8837136 0.90869 2.83% 25.3 10s
Cutting planes:
Gomory: 140
Implied bound: 20
Projected implied bound: 55
MIR: 7
Flow cover: 44
Inf proof: 57
Explored 6473 nodes (141503 simplex iterations) in 14.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.883714 0.883501 0.883501
Optimal solution found (tolerance 1.00e-02)
Best objective 8.837135786082e-01, best bound 8.911605562098e-01, gap 0.8427%
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpfwhx4u9b.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0wpux9xr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [4e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.878882
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 1.085021e+00, 1056 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08502 0 109 0.87888 1.08502 23.5% - 0s
0 0 1.00651 0 142 0.87888 1.00651 14.5% - 0s
0 0 1.00451 0 145 0.87888 1.00451 14.3% - 0s
0 0 1.00308 0 144 0.87888 1.00308 14.1% - 0s
0 0 1.00308 0 146 0.87888 1.00308 14.1% - 0s
0 0 1.00233 0 141 0.87888 1.00233 14.0% - 0s
0 0 1.00220 0 145 0.87888 1.00220 14.0% - 0s
0 0 1.00178 0 147 0.87888 1.00178 14.0% - 0s
0 0 1.00170 0 147 0.87888 1.00170 14.0% - 0s
0 0 1.00166 0 146 0.87888 1.00166 14.0% - 0s
0 0 1.00166 0 121 0.87888 1.00166 14.0% - 0s
0 2 1.00166 0 119 0.87888 1.00166 14.0% - 0s
1518 513 0.90222 21 111 0.87888 0.93336 6.20% 17.8 5s
4277 972 0.89949 38 87 0.87888 0.91053 3.60% 17.3 10s
8032 884 0.88734 33 95 0.87888 0.89400 1.72% 17.7 15s
Cutting planes:
Gomory: 120
Cover: 1
Implied bound: 21
Projected implied bound: 51
MIR: 13
Flow cover: 55
Inf proof: 76
Explored 9418 nodes (164602 simplex iterations) in 17.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.878882
Optimal solution found (tolerance 1.00e-02)
Best objective 8.788820559381e-01, best bound 8.871129339398e-01, gap 0.9365%
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpgz42jlx9.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmppwcee3sr.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.860654
Presolve removed 704 rows and 456 columns
Presolve time: 0.03s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 1.061304e+00, 1163 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.06130 0 110 0.86065 1.06130 23.3% - 0s
0 0 0.99378 0 131 0.86065 0.99378 15.5% - 0s
0 0 0.99375 0 131 0.86065 0.99375 15.5% - 0s
0 0 0.98900 0 146 0.86065 0.98900 14.9% - 0s
0 0 0.98878 0 143 0.86065 0.98878 14.9% - 0s
0 0 0.98870 0 139 0.86065 0.98870 14.9% - 0s
0 0 0.98870 0 115 0.86065 0.98870 14.9% - 0s
0 2 0.98870 0 115 0.86065 0.98870 14.9% - 0s
1303 575 cutoff 31 0.86065 0.91418 6.22% 18.4 5s
H 3280 793 0.8606540 0.89404 3.88% 22.0 9s
3500 858 0.86868 41 101 0.86065 0.89308 3.77% 21.9 10s
6473 772 cutoff 48 0.86065 0.87451 1.61% 21.8 15s
Cutting planes:
Gomory: 133
Implied bound: 18
Projected implied bound: 47
MIR: 3
Flow cover: 57
Inf proof: 48
Explored 7461 nodes (157654 simplex iterations) in 16.69 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.860654 0.860654
Optimal solution found (tolerance 1.00e-02)
Best objective 8.606540291733e-01, best bound 8.692122191041e-01, gap 0.9944%
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0j0lvpnf.pyomo.lp
Reading time = 0.01 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5hvag_2i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.848179
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 1.042954e+00, 1117 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04295 0 112 0.84818 1.04295 23.0% - 0s
0 0 0.97988 0 136 0.84818 0.97988 15.5% - 0s
0 0 0.97902 0 135 0.84818 0.97902 15.4% - 0s
0 0 0.97735 0 142 0.84818 0.97735 15.2% - 0s
0 0 0.97734 0 142 0.84818 0.97734 15.2% - 0s
0 0 0.97688 0 148 0.84818 0.97688 15.2% - 0s
0 0 0.97687 0 148 0.84818 0.97687 15.2% - 0s
0 0 0.97682 0 147 0.84818 0.97682 15.2% - 0s
0 0 0.97672 0 145 0.84818 0.97672 15.2% - 0s
0 0 0.97662 0 151 0.84818 0.97662 15.1% - 0s
0 0 0.97662 0 139 0.84818 0.97662 15.1% - 0s
0 2 0.97662 0 139 0.84818 0.97662 15.1% - 0s
1255 588 0.88650 24 124 0.84818 0.91085 7.39% 18.8 5s
2979 965 0.87127 26 132 0.84818 0.89723 5.78% 24.2 10s
4902 1223 cutoff 31 0.84818 0.88204 3.99% 26.5 15s
7845 930 0.86367 40 108 0.84818 0.86530 2.02% 25.7 20s
Cutting planes:
Gomory: 129
Implied bound: 25
Projected implied bound: 61
MIR: 14
Flow cover: 81
Inf proof: 86
Explored 10397 nodes (242369 simplex iterations) in 23.46 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.848179
Optimal solution found (tolerance 1.00e-02)
Best objective 8.481788648432e-01, best bound 8.558536858510e-01, gap 0.9049%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzi912ipw.pyomo.lp
Reading time = 0.01 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6s5qmm2x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.841718
Presolve removed 732 rows and 474 columns
Presolve time: 0.03s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 1.032969e+00, 1173 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03297 0 113 0.84172 1.03297 22.7% - 0s
0 0 0.97474 0 138 0.84172 0.97474 15.8% - 0s
0 0 0.97450 0 137 0.84172 0.97450 15.8% - 0s
0 0 0.97297 0 139 0.84172 0.97297 15.6% - 0s
0 0 0.97296 0 139 0.84172 0.97296 15.6% - 0s
0 0 0.97252 0 151 0.84172 0.97252 15.5% - 0s
0 0 0.97248 0 151 0.84172 0.97248 15.5% - 0s
0 0 0.97239 0 151 0.84172 0.97239 15.5% - 0s
0 0 0.97232 0 151 0.84172 0.97232 15.5% - 0s
0 0 0.97230 0 153 0.84172 0.97230 15.5% - 0s
0 0 0.97230 0 138 0.84172 0.97230 15.5% - 0s
0 2 0.97230 0 138 0.84172 0.97230 15.5% - 0s
1322 783 0.89028 30 117 0.84172 0.90827 7.91% 15.9 5s
H 2585 981 0.8418533 0.89589 6.42% 18.3 8s
3100 1120 0.86110 32 106 0.84185 0.89257 6.02% 19.5 10s
5511 1437 cutoff 35 0.84185 0.87923 4.44% 22.1 15s
7962 1143 cutoff 39 0.84185 0.86508 2.76% 24.0 20s
10097 978 infeasible 47 0.84185 0.85546 1.62% 23.7 25s
Cutting planes:
Gomory: 130
Implied bound: 26
Projected implied bound: 60
MIR: 17
Flow cover: 65
Inf proof: 86
Explored 13329 nodes (285244 simplex iterations) in 29.10 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.841853 0.841718
Optimal solution found (tolerance 1.00e-02)
Best objective 8.418532638847e-01, best bound 8.499914143736e-01, gap 0.9667%
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb9lhaezl.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0zoe0fbo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.831596
Presolve removed 746 rows and 483 columns
Presolve time: 0.03s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 1.023348e+00, 1197 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.02335 0 120 0.83160 1.02335 23.1% - 0s
0 0 0.97104 0 139 0.83160 0.97104 16.8% - 0s
0 0 0.97085 0 139 0.83160 0.97085 16.7% - 0s
0 0 0.96869 0 132 0.83160 0.96869 16.5% - 0s
0 0 0.95944 0 116 0.83160 0.95944 15.4% - 0s
0 0 0.95175 0 143 0.83160 0.95175 14.4% - 0s
0 0 0.95154 0 140 0.83160 0.95154 14.4% - 0s
0 0 0.95109 0 127 0.83160 0.95109 14.4% - 0s
0 0 0.95106 0 129 0.83160 0.95106 14.4% - 0s
0 0 0.95078 0 127 0.83160 0.95078 14.3% - 0s
0 0 0.95078 0 127 0.83160 0.95078 14.3% - 0s
0 0 0.95010 0 128 0.83160 0.95010 14.3% - 0s
0 0 0.94855 0 128 0.83160 0.94855 14.1% - 0s
0 0 0.94763 0 128 0.83160 0.94763 14.0% - 0s
0 0 0.94738 0 132 0.83160 0.94738 13.9% - 0s
0 0 0.94736 0 132 0.83160 0.94736 13.9% - 0s
0 0 0.94735 0 134 0.83160 0.94735 13.9% - 0s
0 0 0.94731 0 133 0.83160 0.94731 13.9% - 0s
0 0 0.94731 0 133 0.83160 0.94731 13.9% - 0s
0 0 0.94731 0 119 0.83160 0.94731 13.9% - 0s
0 2 0.94731 0 119 0.83160 0.94731 13.9% - 0s
774 528 0.90221 17 130 0.83160 0.90221 8.49% 21.3 5s
H 2515 951 0.8316446 0.89474 7.59% 21.9 8s
3141 1213 cutoff 30 0.83164 0.89021 7.04% 22.3 10s
H 3143 1213 0.8316633 0.89021 7.04% 22.2 10s
5019 1914 0.84433 36 102 0.83166 0.88416 6.31% 24.2 15s
6932 2234 0.83226 47 111 0.83166 0.87683 5.43% 27.5 20s
8748 2449 infeasible 54 0.83166 0.87263 4.93% 29.4 25s
H 9061 2490 0.8316633 0.87234 4.89% 29.6 26s
10559 2638 cutoff 34 0.83166 0.87021 4.64% 30.3 30s
12240 2719 cutoff 39 0.83166 0.86711 4.26% 31.1 35s
14308 2638 cutoff 39 0.83166 0.86204 3.65% 32.7 41s
15905 2469 0.85513 45 120 0.83166 0.85800 3.17% 33.1 45s
17666 2327 infeasible 39 0.83166 0.85420 2.71% 33.5 50s
19980 2089 cutoff 35 0.83166 0.84908 2.09% 33.2 55s
22008 1996 cutoff 36 0.83166 0.84581 1.70% 32.5 60s
H22013 1996 0.8316633 0.84581 1.70% 32.5 60s
22428 1955 infeasible 51 0.83166 0.84509 1.61% 32.2 74s
22768 1929 0.84119 79 81 0.83166 0.84448 1.54% 32.1 75s
24616 2072 0.83958 103 75 0.83166 0.84267 1.32% 31.4 80s
28625 3682 0.83682 123 70 0.83166 0.84159 1.19% 28.7 85s
*28998 3674 183 0.8325425 0.84150 1.08% 28.5 85s
33208 5375 0.83922 143 44 0.83254 0.84105 1.02% 26.3 90s
Cutting planes:
Gomory: 165
Cover: 5
Implied bound: 39
Projected implied bound: 71
MIR: 30
Flow cover: 117
Inf proof: 153
Explored 34951 nodes (899537 simplex iterations) in 91.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.832542 0.831663 0.831663 ... 0.831596
Optimal solution found (tolerance 1.00e-02)
Best objective 8.325424616966e-01, best bound 8.408583476791e-01, gap 0.9989%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpxyydhwp4.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5j7jds3h.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.82006
Presolve removed 760 rows and 492 columns
Presolve time: 0.03s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 1.006841e+00, 1225 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.00684 0 117 0.82006 1.00684 22.8% - 0s
0 0 0.95143 0 150 0.82006 0.95143 16.0% - 0s
0 0 0.95125 0 150 0.82006 0.95125 16.0% - 0s
0 0 0.94519 0 153 0.82006 0.94519 15.3% - 0s
0 0 0.94515 0 155 0.82006 0.94515 15.3% - 0s
0 0 0.94384 0 167 0.82006 0.94384 15.1% - 0s
0 0 0.94373 0 160 0.82006 0.94373 15.1% - 0s
0 0 0.94352 0 163 0.82006 0.94352 15.1% - 0s
0 0 0.94352 0 165 0.82006 0.94352 15.1% - 0s
0 0 0.94351 0 165 0.82006 0.94351 15.1% - 0s
0 0 0.94351 0 163 0.82006 0.94351 15.1% - 0s
0 0 0.94351 0 163 0.82006 0.94351 15.1% - 0s
0 0 0.94351 0 140 0.82006 0.94351 15.1% - 0s
0 2 0.94351 0 136 0.82006 0.94351 15.1% - 0s
1229 658 0.85491 52 103 0.82006 0.88976 8.50% 18.2 5s
H 3522 1161 0.8204256 0.87131 6.20% 22.0 10s
H 3525 1161 0.8204256 0.87131 6.20% 22.0 10s
5160 1519 cutoff 37 0.82043 0.86433 5.35% 25.2 15s
7151 1727 infeasible 39 0.82043 0.85713 4.47% 27.7 20s
8944 1753 0.84112 38 113 0.82043 0.84958 3.55% 30.2 25s
10423 1591 0.83056 31 99 0.82043 0.84347 2.81% 31.4 30s
12740 1223 infeasible 42 0.82043 0.83536 1.82% 31.0 35s
14767 1177 infeasible 62 0.82043 0.82994 1.16% 29.4 40s
18758 2756 0.82376 113 57 0.82043 0.82865 1.00% 25.2 45s
Cutting planes:
Gomory: 146
Cover: 1
Implied bound: 20
Projected implied bound: 56
MIR: 14
Flow cover: 69
GUB cover: 1
Inf proof: 111
Explored 19627 nodes (481474 simplex iterations) in 45.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.820426 0.820426 0.82006
Optimal solution found (tolerance 1.00e-02)
Best objective 8.204255919430e-01, best bound 8.283930957733e-01, gap 0.9711%
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpflj88_1r.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpmp2u0o4t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.811273
Presolve removed 774 rows and 501 columns
Presolve time: 0.03s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 9.941789e-01, 1277 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99418 0 117 0.81127 0.99418 22.5% - 0s
0 0 0.95147 0 135 0.81127 0.95147 17.3% - 0s
0 0 0.95126 0 136 0.81127 0.95126 17.3% - 0s
0 0 0.94090 0 140 0.81127 0.94090 16.0% - 0s
0 0 0.94069 0 139 0.81127 0.94069 16.0% - 0s
0 0 0.93563 0 148 0.81127 0.93563 15.3% - 0s
0 0 0.93562 0 143 0.81127 0.93562 15.3% - 0s
0 0 0.93561 0 150 0.81127 0.93561 15.3% - 0s
0 0 0.93545 0 151 0.81127 0.93545 15.3% - 0s
0 0 0.93545 0 151 0.81127 0.93545 15.3% - 0s
0 0 0.93545 0 127 0.81127 0.93545 15.3% - 0s
0 2 0.93545 0 127 0.81127 0.93545 15.3% - 0s
953 491 infeasible 29 0.81127 0.88092 8.58% 23.5 5s
3166 1054 cutoff 32 0.81127 0.85673 5.60% 22.8 10s
5643 1371 cutoff 30 0.81127 0.84243 3.84% 25.5 15s
H 7218 1247 0.8112725 0.83469 2.89% 26.3 18s
7810 1159 0.82284 84 102 0.81127 0.83321 2.70% 26.3 20s
10661 1318 infeasible 79 0.81127 0.82521 1.72% 24.4 25s
12863 1542 0.81136 166 35 0.81127 0.82158 1.27% 23.1 30s
17165 2833 0.81795 155 57 0.81127 0.81980 1.05% 20.3 35s
Cutting planes:
Gomory: 152
Cover: 4
Implied bound: 33
Projected implied bound: 22
Clique: 1
MIR: 12
Flow cover: 76
GUB cover: 1
Inf proof: 125
Explored 20689 nodes (386823 simplex iterations) in 38.96 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.811273 0.811273
Optimal solution found (tolerance 1.00e-02)
Best objective 8.112725367469e-01, best bound 8.193594121198e-01, gap 0.9968%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprw1iy03u.pyomo.lp
Reading time = 0.01 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpyqzgsfcy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.79768
Presolve removed 788 rows and 510 columns
Presolve time: 0.03s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 9.758932e-01, 1295 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.97589 0 124 0.79768 0.97589 22.3% - 0s
0 0 0.92513 0 170 0.79768 0.92513 16.0% - 0s
0 0 0.92456 0 170 0.79768 0.92456 15.9% - 0s
0 0 0.92249 0 181 0.79768 0.92249 15.6% - 0s
0 0 0.92228 0 181 0.79768 0.92228 15.6% - 0s
0 0 0.92186 0 177 0.79768 0.92186 15.6% - 0s
0 0 0.92158 0 184 0.79768 0.92158 15.5% - 0s
0 0 0.92145 0 183 0.79768 0.92145 15.5% - 0s
0 0 0.92143 0 181 0.79768 0.92143 15.5% - 0s
0 0 0.92133 0 182 0.79768 0.92133 15.5% - 0s
0 0 0.92133 0 182 0.79768 0.92133 15.5% - 0s
0 0 0.92133 0 186 0.79768 0.92133 15.5% - 0s
0 0 0.92133 0 149 0.79768 0.92133 15.5% - 0s
0 2 0.92133 0 141 0.79768 0.92133 15.5% - 0s
830 501 0.80251 23 158 0.79768 0.86532 8.48% 22.1 5s
4019 1186 cutoff 57 0.79768 0.83145 4.23% 19.2 10s
6977 994 0.80342 60 122 0.79768 0.81152 1.74% 19.9 15s
H 7024 995 0.7976802 0.81130 1.71% 19.9 15s
11876 2550 0.80001 140 81 0.79768 0.80665 1.13% 15.7 20s
16935 4585 0.79788 142 66 0.79768 0.80589 1.03% 13.7 25s
Cutting planes:
Gomory: 130
Cover: 2
Implied bound: 14
Projected implied bound: 67
MIR: 11
Flow cover: 62
Inf proof: 65
Explored 19945 nodes (259406 simplex iterations) in 27.06 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.79768 0.79768
Optimal solution found (tolerance 1.00e-02)
Best objective 7.976801724779e-01, best bound 8.056521183192e-01, gap 0.9994%
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp8e0e5zsp.pyomo.lp
Reading time = 0.02 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpty386g9a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.78826
Presolve removed 802 rows and 519 columns
Presolve time: 0.03s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 9.626342e-01, 1300 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96263 0 124 0.78826 0.96263 22.1% - 0s
0 0 0.91157 0 155 0.78826 0.91157 15.6% - 0s
0 0 0.91140 0 155 0.78826 0.91140 15.6% - 0s
0 0 0.90668 0 167 0.78826 0.90668 15.0% - 0s
0 0 0.90662 0 167 0.78826 0.90662 15.0% - 0s
0 0 0.90549 0 179 0.78826 0.90549 14.9% - 0s
0 0 0.90530 0 177 0.78826 0.90530 14.8% - 0s
0 0 0.90445 0 178 0.78826 0.90445 14.7% - 0s
0 0 0.90444 0 182 0.78826 0.90444 14.7% - 0s
0 0 0.90439 0 180 0.78826 0.90439 14.7% - 0s
0 0 0.90439 0 182 0.78826 0.90439 14.7% - 0s
0 0 0.90436 0 184 0.78826 0.90436 14.7% - 0s
0 0 0.90436 0 136 0.78826 0.90436 14.7% - 0s
0 2 0.90436 0 136 0.78826 0.90436 14.7% - 0s
767 617 0.80065 17 175 0.78826 0.86652 9.93% 19.9 5s
H 2030 946 0.7882605 0.85503 8.47% 22.2 9s
2164 966 0.85123 25 136 0.78826 0.85205 8.09% 22.3 10s
4049 1252 0.81478 41 117 0.78826 0.83667 6.14% 28.0 15s
6396 1864 0.81261 46 116 0.78826 0.82401 4.53% 27.0 20s
8644 2275 infeasible 32 0.78826 0.81910 3.91% 26.4 25s
10560 2506 0.80424 50 124 0.78826 0.81566 3.48% 26.2 30s
13243 2654 cutoff 77 0.78826 0.81152 2.95% 26.5 35s
H14928 2694 0.7882605 0.80864 2.59% 26.9 38s
15439 2679 0.79535 61 90 0.78826 0.80814 2.52% 26.8 40s
18250 2904 0.79666 52 114 0.78826 0.80483 2.10% 26.3 45s
21137 3390 infeasible 50 0.78826 0.80246 1.80% 25.4 65s
23132 3580 0.79406 135 60 0.78826 0.80086 1.60% 25.2 70s
26260 4228 0.79192 71 120 0.78826 0.79934 1.41% 24.7 75s
29442 5018 cutoff 101 0.78826 0.79840 1.29% 24.0 80s
32772 5926 0.78970 120 73 0.78826 0.79772 1.20% 23.5 85s
36288 6846 cutoff 133 0.78826 0.79716 1.13% 23.1 90s
40172 8203 infeasible 148 0.78826 0.79673 1.07% 22.3 95s
44493 9832 0.79567 141 54 0.78826 0.79632 1.02% 21.5 100s
48377 11396 0.79301 143 56 0.78826 0.79615 1.00% 20.9 105s
Cutting planes:
Gomory: 158
Cover: 3
Implied bound: 38
Projected implied bound: 69
MIR: 16
Flow cover: 134
Inf proof: 171
Explored 49022 nodes (1020373 simplex iterations) in 105.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.78826 0.78826 0.78826
Optimal solution found (tolerance 1.00e-02)
Best objective 7.882604643804e-01, best bound 7.960894141977e-01, gap 0.9932%
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4b_8x70y.pyomo.lp
Reading time = 0.01 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmphz5txgzg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.780008
Presolve removed 816 rows and 528 columns
Presolve time: 0.04s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 9.514884e-01, 1432 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.95149 0 125 0.78001 0.95149 22.0% - 0s
0 0 0.90403 0 153 0.78001 0.90403 15.9% - 0s
0 0 0.90371 0 153 0.78001 0.90371 15.9% - 0s
0 0 0.89907 0 153 0.78001 0.89907 15.3% - 0s
0 0 0.89901 0 153 0.78001 0.89901 15.3% - 0s
0 0 0.89858 0 165 0.78001 0.89858 15.2% - 0s
0 0 0.89846 0 167 0.78001 0.89846 15.2% - 0s
0 0 0.89793 0 168 0.78001 0.89793 15.1% - 0s
0 0 0.89792 0 169 0.78001 0.89792 15.1% - 0s
0 0 0.89792 0 168 0.78001 0.89792 15.1% - 0s
0 0 0.89792 0 166 0.78001 0.89792 15.1% - 0s
0 0 0.89792 0 166 0.78001 0.89792 15.1% - 0s
0 0 0.89792 0 139 0.78001 0.89792 15.1% - 0s
0 2 0.89792 0 137 0.78001 0.89792 15.1% - 0s
830 630 infeasible 19 0.78001 0.85102 9.10% 18.2 5s
3124 978 0.81294 46 111 0.78001 0.83000 6.41% 21.3 10s
H 3147 978 0.7800083 0.83000 6.41% 21.2 10s
4557 1343 0.80919 45 114 0.78001 0.82306 5.52% 23.2 15s
6729 1707 cutoff 48 0.78001 0.81614 4.63% 24.3 20s
8609 1737 0.79632 42 111 0.78001 0.80972 3.81% 25.1 25s
11251 2091 0.79945 39 131 0.78001 0.80341 3.00% 24.2 30s
14644 2616 0.79015 32 136 0.78001 0.79860 2.38% 22.7 35s
17077 3114 0.78765 90 96 0.78001 0.79612 2.07% 21.8 40s
20509 3425 0.78870 64 108 0.78001 0.79299 1.66% 21.3 45s
20955 3439 cutoff 43 0.78001 0.79259 1.61% 21.3 62s
22388 3591 0.78185 99 86 0.78001 0.79167 1.50% 21.2 65s
25240 4199 0.78372 109 103 0.78001 0.79102 1.41% 21.0 70s
28318 4940 0.78656 94 91 0.78001 0.79024 1.31% 20.8 75s
31133 5700 0.78615 113 76 0.78001 0.78985 1.26% 20.4 80s
34259 6536 0.78602 123 81 0.78001 0.78944 1.21% 20.0 85s
37300 7340 cutoff 160 0.78001 0.78908 1.16% 19.7 90s
40669 8132 0.78022 102 93 0.78001 0.78852 1.09% 19.6 95s
43905 8931 cutoff 59 0.78001 0.78821 1.05% 19.3 100s
46533 9555 cutoff 136 0.78001 0.78794 1.02% 19.3 105s
Cutting planes:
Gomory: 178
Cover: 2
Implied bound: 44
Projected implied bound: 77
MIR: 18
StrongCG: 1
Flow cover: 114
Inf proof: 206
Explored 48420 nodes (931520 simplex iterations) in 107.48 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.780008 0.780008
Optimal solution found (tolerance 1.00e-02)
Best objective 7.800082815650e-01, best bound 7.877676390965e-01, gap 0.9948%
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkxily7wu.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbl9dwr2i.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.773033
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 9.388401e-01, 1341 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93884 0 130 0.77303 0.93884 21.4% - 0s
0 0 0.90641 0 153 0.77303 0.90641 17.3% - 0s
0 0 0.90611 0 153 0.77303 0.90611 17.2% - 0s
0 0 0.90117 0 161 0.77303 0.90117 16.6% - 0s
0 0 0.90114 0 160 0.77303 0.90114 16.6% - 0s
0 0 0.90032 0 170 0.77303 0.90032 16.5% - 0s
0 0 0.90028 0 173 0.77303 0.90028 16.5% - 0s
0 0 0.89931 0 167 0.77303 0.89931 16.3% - 0s
0 0 0.89929 0 171 0.77303 0.89929 16.3% - 0s
0 0 0.89868 0 170 0.77303 0.89868 16.3% - 0s
0 0 0.89863 0 172 0.77303 0.89863 16.2% - 0s
0 0 0.89859 0 172 0.77303 0.89859 16.2% - 0s
0 0 0.89859 0 172 0.77303 0.89859 16.2% - 0s
0 0 0.89859 0 170 0.77303 0.89859 16.2% - 0s
0 0 0.89859 0 138 0.77303 0.89859 16.2% - 0s
0 2 0.89859 0 138 0.77303 0.89859 16.2% - 0s
749 554 0.83741 18 154 0.77303 0.84206 8.93% 19.0 5s
2434 764 infeasible 32 0.77303 0.82165 6.29% 26.8 10s
4197 1552 0.79331 43 144 0.77303 0.81558 5.50% 26.3 15s
6314 2357 0.79333 43 147 0.77303 0.81121 4.94% 26.4 20s
8712 3082 cutoff 51 0.77303 0.80896 4.65% 26.4 25s
H 9348 3227 0.7730333 0.80770 4.48% 26.7 28s
H 9389 3241 0.7730333 0.80763 4.48% 26.7 28s
9884 3341 0.77645 46 122 0.77303 0.80710 4.41% 26.8 30s
12204 3728 0.79653 43 136 0.77303 0.80471 4.10% 27.4 35s
13818 3964 infeasible 53 0.77303 0.80299 3.87% 27.8 40s
15379 4071 0.78874 50 138 0.77303 0.80168 3.71% 28.3 45s
17806 4190 0.78612 62 118 0.77303 0.79959 3.44% 28.7 50s
20031 4338 cutoff 52 0.77303 0.79763 3.18% 28.7 55s
20536 4353 cutoff 49 0.77303 0.79728 3.14% 28.7 73s
21240 4417 cutoff 46 0.77303 0.79660 3.05% 28.9 75s
22497 4402 cutoff 60 0.77303 0.79526 2.88% 30.0 80s
23929 4394 0.78094 46 150 0.77303 0.79395 2.71% 31.4 85s
25483 4390 0.78540 114 93 0.77303 0.79263 2.54% 32.7 90s
26963 4226 infeasible 45 0.77303 0.79101 2.33% 34.0 95s
28441 4231 0.78785 51 138 0.77303 0.78972 2.16% 34.4 100s
30264 4165 0.78645 87 120 0.77303 0.78824 1.97% 35.1 105s
32214 4132 cutoff 50 0.77303 0.78688 1.79% 35.4 110s
33929 4028 0.78336 124 92 0.77303 0.78555 1.62% 35.7 115s
36416 4389 0.77750 59 125 0.77303 0.78460 1.50% 35.2 120s
39188 5089 cutoff 59 0.77303 0.78389 1.40% 34.3 125s
42342 6162 0.77541 161 64 0.77303 0.78342 1.34% 33.0 130s
46286 7669 0.78280 141 74 0.77303 0.78306 1.30% 31.4 135s
49810 8941 cutoff 134 0.77303 0.78280 1.26% 30.3 140s
53771 10359 0.77947 142 71 0.77303 0.78255 1.23% 29.1 145s
56555 11324 infeasible 149 0.77303 0.78241 1.21% 28.4 150s
61061 13063 0.77371 163 70 0.77303 0.78222 1.19% 27.3 155s
64742 14309 0.78101 66 124 0.77303 0.78204 1.16% 26.5 160s
68498 15844 0.77747 148 73 0.77303 0.78192 1.15% 25.7 165s
71513 16749 0.78164 147 75 0.77303 0.78180 1.13% 25.3 170s
75249 17825 0.78025 137 75 0.77303 0.78167 1.12% 24.8 175s
78768 18959 cutoff 161 0.77303 0.78156 1.10% 24.3 180s
82856 20112 0.78101 157 73 0.77303 0.78147 1.09% 23.8 185s
86338 21261 0.77406 198 28 0.77303 0.78141 1.08% 23.4 190s
90081 22218 0.77360 164 57 0.77303 0.78132 1.07% 23.1 195s
94099 23374 0.77823 144 72 0.77303 0.78124 1.06% 22.7 200s
97972 24406 cutoff 159 0.77303 0.78117 1.05% 22.4 205s
H100290 24918 0.7730333 0.78113 1.05% 22.2 209s
100315 24895 0.77420 136 73 0.77303 0.78113 1.05% 22.2 210s
104444 25928 0.77388 106 100 0.77303 0.78107 1.04% 21.9 215s
107396 26882 cutoff 131 0.77303 0.78103 1.03% 21.7 220s
111194 28045 0.77389 176 53 0.77303 0.78098 1.03% 21.4 225s
114541 28935 0.77434 92 105 0.77303 0.78093 1.02% 21.2 230s
118507 30123 0.77315 176 53 0.77303 0.78088 1.01% 20.9 235s
122437 31294 0.77797 133 79 0.77303 0.78082 1.01% 20.7 240s
126274 32319 0.77629 146 74 0.77303 0.78076 1.00% 20.5 245s
Cutting planes:
Gomory: 195
Cover: 2
Implied bound: 59
Projected implied bound: 84
MIR: 35
Flow cover: 150
Inf proof: 318
Explored 126794 nodes (2600929 simplex iterations) in 245.37 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.773033 0.773033 0.773033 0.773033
Optimal solution found (tolerance 1.00e-02)
Best objective 7.730333235636e-01, best bound 7.807545784160e-01, gap 0.9988%
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp03lkbgsq.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe69403q2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [1e-04, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.766344
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 9.302996e-01, 1343 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.93030 0 130 0.76634 0.93030 21.4% - 0s
0 0 0.87310 0 161 0.76634 0.87310 13.9% - 0s
0 0 0.87277 0 161 0.76634 0.87277 13.9% - 0s
0 0 0.86914 0 181 0.76634 0.86914 13.4% - 0s
0 0 0.86890 0 185 0.76634 0.86890 13.4% - 0s
0 0 0.86607 0 188 0.76634 0.86607 13.0% - 0s
0 0 0.86599 0 188 0.76634 0.86599 13.0% - 0s
0 0 0.86578 0 187 0.76634 0.86578 13.0% - 0s
0 0 0.86578 0 166 0.76634 0.86578 13.0% - 0s
0 2 0.86578 0 164 0.76634 0.86578 13.0% - 0s
764 462 0.83276 15 171 0.76634 0.83276 8.67% 22.2 5s
1660 626 0.81501 34 139 0.76634 0.83111 8.45% 31.8 10s
2708 983 0.80830 26 160 0.76634 0.82629 7.82% 35.3 15s
H 4268 1557 0.7663437 0.82059 7.08% 37.6 21s
H 4269 1558 0.7663650 0.82059 7.08% 37.6 21s
5242 1895 0.80983 36 150 0.76636 0.81838 6.79% 38.1 25s
6688 2376 0.77575 53 129 0.76636 0.81453 6.28% 39.0 30s
8246 2762 infeasible 31 0.76636 0.81067 5.78% 40.4 35s
9628 2996 cutoff 47 0.76636 0.80814 5.45% 41.6 40s
11001 3253 cutoff 43 0.76636 0.80620 5.20% 42.0 45s
12182 3442 0.77387 42 173 0.76636 0.80457 4.99% 42.6 50s
13898 3762 0.78611 35 183 0.76636 0.80227 4.68% 42.2 55s
15073 3848 cutoff 28 0.76636 0.80085 4.50% 42.5 60s
16865 4117 0.78848 43 133 0.76636 0.79876 4.23% 42.2 65s
17753 4220 infeasible 39 0.76636 0.79787 4.11% 42.1 70s
19474 4396 0.77958 82 124 0.76636 0.79644 3.92% 41.8 75s
20858 4667 0.77079 45 139 0.76636 0.79514 3.76% 41.4 97s
21988 4793 0.78414 49 150 0.76636 0.79399 3.60% 41.6 100s
23412 4824 infeasible 42 0.76636 0.79267 3.43% 42.4 105s
24932 4845 infeasible 35 0.76636 0.79092 3.20% 43.1 110s
26569 4855 cutoff 43 0.76636 0.78914 2.97% 43.4 116s
28036 4900 0.76917 55 141 0.76636 0.78764 2.78% 44.0 121s
29492 4865 cutoff 50 0.76636 0.78605 2.57% 44.6 126s
30541 4748 0.77688 54 143 0.76636 0.78485 2.41% 45.0 130s
32010 4693 cutoff 44 0.76636 0.78340 2.22% 45.2 135s
33627 4471 0.76749 40 179 0.76636 0.78192 2.03% 45.8 140s
34899 4362 infeasible 41 0.76636 0.78071 1.87% 46.0 146s
35712 4235 infeasible 42 0.76636 0.77978 1.75% 46.3 150s
37326 4189 cutoff 72 0.76636 0.77850 1.58% 46.2 155s
39538 4797 0.77778 95 99 0.76636 0.77778 1.49% 45.2 160s
42064 5599 0.77242 118 80 0.76636 0.77733 1.43% 43.7 165s
45263 7053 cutoff 117 0.76636 0.77669 1.35% 41.9 170s
48821 8703 0.76707 106 95 0.76636 0.77641 1.31% 39.9 175s
52246 10073 0.77324 138 50 0.76636 0.77620 1.28% 38.4 180s
55225 11467 0.77234 98 95 0.76636 0.77604 1.26% 37.1 185s
59021 13128 cutoff 49 0.76636 0.77586 1.24% 35.7 190s
H59533 13347 0.7663650 0.77583 1.24% 35.5 191s
61171 14102 0.76703 132 82 0.76636 0.77574 1.22% 35.0 195s
63110 14756 0.77315 121 77 0.76636 0.77562 1.21% 34.5 200s
66191 16063 0.76721 167 30 0.76636 0.77547 1.19% 33.6 205s
69677 17591 0.77122 109 94 0.76636 0.77537 1.17% 32.7 210s
72693 18848 0.76661 161 43 0.76636 0.77526 1.16% 32.0 215s
75479 19945 cutoff 50 0.76636 0.77518 1.15% 31.5 220s
79433 21544 0.77075 115 86 0.76636 0.77507 1.14% 30.7 225s
82645 22777 cutoff 51 0.76636 0.77498 1.12% 30.2 230s
86278 24306 0.77431 110 97 0.76636 0.77490 1.11% 29.6 235s
89718 25732 0.77272 114 94 0.76636 0.77484 1.11% 29.1 240s
93413 27417 0.76902 119 85 0.76636 0.77477 1.10% 28.6 245s
96860 28784 cutoff 131 0.76636 0.77472 1.09% 28.1 250s
100403 30193 0.76643 191 8 0.76636 0.77466 1.08% 27.7 255s
104368 31712 cutoff 128 0.76636 0.77458 1.07% 27.2 260s
107604 32888 0.76667 118 87 0.76636 0.77453 1.07% 26.9 265s
111032 34181 0.77133 116 79 0.76636 0.77447 1.06% 26.5 270s
113962 35340 0.77129 109 92 0.76636 0.77441 1.05% 26.3 275s
117808 36939 cutoff 129 0.76636 0.77437 1.04% 25.9 280s
120774 37974 0.76831 128 71 0.76636 0.77433 1.04% 25.7 285s
123999 39172 0.77032 132 67 0.76636 0.77429 1.03% 25.4 290s
127263 40285 0.76789 45 166 0.76636 0.77423 1.03% 25.2 295s
130428 41343 0.77078 118 78 0.76636 0.77419 1.02% 25.0 300s
133668 42469 cutoff 140 0.76636 0.77414 1.01% 24.8 305s
136835 43453 0.76646 155 42 0.76636 0.77411 1.01% 24.7 310s
138844 44088 cutoff 97 0.76636 0.77409 1.01% 24.6 315s
141776 45011 0.76793 85 116 0.76636 0.77407 1.00% 24.4 320s
143849 45652 0.77075 132 82 0.76636 0.77404 1.00% 24.3 325s
Cutting planes:
Gomory: 209
Cover: 1
Implied bound: 63
Projected implied bound: 74
Clique: 1
MIR: 31
Flow cover: 156
Inf proof: 343
Explored 145234 nodes (3527940 simplex iterations) in 327.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.766365 0.766365 0.766344 0.766344
Optimal solution found (tolerance 1.00e-02)
Best objective 7.663649987389e-01, best bound 7.740261318633e-01, gap 0.9997%
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpja9to46z.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpm82lhq26.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.75543
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 9.172529e-01, 1421 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.91725 0 134 0.75543 0.91725 21.4% - 0s
0 0 0.85988 0 163 0.75543 0.85988 13.8% - 0s
0 0 0.85956 0 163 0.75543 0.85956 13.8% - 0s
0 0 0.85615 0 173 0.75543 0.85615 13.3% - 0s
0 0 0.85586 0 174 0.75543 0.85586 13.3% - 0s
0 0 0.85583 0 178 0.75543 0.85583 13.3% - 0s
0 0 0.85583 0 164 0.75543 0.85583 13.3% - 0s
0 2 0.85583 0 164 0.75543 0.85583 13.3% - 0s
779 539 0.76532 18 165 0.75543 0.81775 8.25% 21.0 5s
2632 999 cutoff 29 0.75543 0.81147 7.42% 26.2 10s
4547 2001 infeasible 34 0.75543 0.80694 6.82% 24.2 15s
6629 2829 cutoff 35 0.75543 0.80272 6.26% 24.4 20s
8920 3408 0.77484 37 132 0.75543 0.79849 5.70% 25.3 25s
10820 3947 0.76852 35 129 0.75543 0.79581 5.34% 26.0 30s
12552 4210 0.77189 37 138 0.75543 0.79364 5.06% 26.9 35s
14028 4351 0.77520 32 135 0.75543 0.79198 4.84% 27.6 40s
15878 4530 infeasible 39 0.75543 0.79005 4.58% 28.1 45s
18106 4544 0.76436 41 132 0.75543 0.78747 4.24% 29.0 50s
20046 4543 0.76154 37 140 0.75543 0.78510 3.93% 29.5 55s
21898 4375 cutoff 37 0.75543 0.78291 3.64% 30.3 60s
23759 4339 cutoff 103 0.75543 0.78089 3.37% 30.9 82s
24753 4281 cutoff 39 0.75543 0.77933 3.16% 31.4 85s
26326 4190 cutoff 43 0.75543 0.77759 2.93% 32.3 90s
27719 3962 cutoff 37 0.75543 0.77522 2.62% 33.6 96s
28716 3781 cutoff 46 0.75543 0.77414 2.48% 34.2 100s
30334 3565 cutoff 40 0.75543 0.77192 2.18% 35.2 105s
31860 3693 infeasible 39 0.75543 0.77042 1.98% 35.2 110s
33665 3858 infeasible 41 0.75543 0.76880 1.77% 35.3 115s
36032 4541 0.76460 55 115 0.75543 0.76793 1.65% 34.6 120s
38597 5414 0.76080 111 115 0.75543 0.76720 1.56% 33.7 125s
41172 6256 0.76658 88 108 0.75543 0.76666 1.49% 33.0 130s
43992 7123 0.76398 120 86 0.75543 0.76610 1.41% 32.4 135s
46842 8222 cutoff 58 0.75543 0.76581 1.37% 31.5 140s
49890 9458 0.75699 88 109 0.75543 0.76549 1.33% 30.7 145s
52490 10484 0.75773 91 97 0.75543 0.76531 1.31% 30.1 150s
56345 12015 0.76390 99 108 0.75543 0.76507 1.28% 29.1 155s
60456 13703 0.75898 150 63 0.75543 0.76480 1.24% 28.2 160s
64375 15137 cutoff 131 0.75543 0.76465 1.22% 27.4 165s
67470 16358 0.75727 119 101 0.75543 0.76448 1.20% 26.9 170s
72376 18667 0.76167 114 101 0.75543 0.76434 1.18% 26.0 175s
76937 20950 0.75770 111 111 0.75543 0.76421 1.16% 25.1 180s
80693 22641 cutoff 92 0.75543 0.76414 1.15% 24.5 185s
H80695 22641 0.7554300 0.76414 1.15% 24.5 185s
83245 23812 0.76240 110 100 0.75543 0.76411 1.15% 24.1 190s
87746 25863 0.76182 132 84 0.75543 0.76403 1.14% 23.5 195s
92489 28066 0.76235 173 59 0.75543 0.76396 1.13% 22.9 200s
96749 29837 0.75893 158 72 0.75543 0.76390 1.12% 22.4 205s
101166 31858 0.75790 163 54 0.75543 0.76384 1.11% 22.0 210s
105709 33811 0.75612 172 46 0.75543 0.76380 1.11% 21.5 215s
110262 36017 0.75640 195 42 0.75543 0.76375 1.10% 21.0 220s
114489 37907 0.75732 39 179 0.75543 0.76370 1.09% 20.7 225s
119280 39995 0.75834 150 65 0.75543 0.76365 1.09% 20.3 230s
123588 41977 0.76180 110 94 0.75543 0.76361 1.08% 20.0 235s
127662 43551 0.76212 143 79 0.75543 0.76355 1.08% 19.8 240s
132189 45658 0.75603 114 93 0.75543 0.76351 1.07% 19.5 245s
136791 47753 cutoff 144 0.75543 0.76347 1.06% 19.3 250s
141227 49687 0.75889 118 103 0.75543 0.76343 1.06% 19.0 255s
145466 51459 cutoff 157 0.75543 0.76339 1.05% 18.8 260s
147638 52397 0.75579 180 36 0.75543 0.76338 1.05% 18.7 265s
152365 54593 0.75978 148 56 0.75543 0.76335 1.05% 18.5 270s
156731 56442 0.76025 114 86 0.75543 0.76332 1.04% 18.3 275s
160943 58155 0.76096 141 68 0.75543 0.76329 1.04% 18.2 280s
165307 60074 0.76202 151 56 0.75543 0.76326 1.04% 18.0 285s
169492 61770 0.76170 146 67 0.75543 0.76323 1.03% 17.9 290s
173979 63727 0.75678 166 53 0.75543 0.76321 1.03% 17.7 295s
178152 65350 infeasible 182 0.75543 0.76318 1.03% 17.6 300s
182573 67098 0.75896 171 45 0.75543 0.76316 1.02% 17.5 305s
186237 68537 0.75743 173 62 0.75543 0.76314 1.02% 17.4 310s
189576 69757 0.75556 125 76 0.75543 0.76312 1.02% 17.3 315s
193200 70993 infeasible 145 0.75543 0.76310 1.02% 17.3 320s
197112 72508 0.75570 192 18 0.75543 0.76309 1.01% 17.2 325s
201503 74242 0.75897 140 75 0.75543 0.76306 1.01% 17.1 330s
204280 75380 0.75942 159 52 0.75543 0.76305 1.01% 17.1 335s
208376 77144 0.75773 158 59 0.75543 0.76303 1.01% 17.0 340s
212745 78777 0.76151 176 61 0.75543 0.76301 1.00% 16.9 345s
216347 80082 0.75680 125 113 0.75543 0.76299 1.00% 16.8 350s
Cutting planes:
Gomory: 215
Cover: 1
Implied bound: 72
Projected implied bound: 71
MIR: 25
Flow cover: 130
Inf proof: 420
Explored 217403 nodes (3662331 simplex iterations) in 350.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.75543 0.75543
Optimal solution found (tolerance 1.00e-02)
Best objective 7.554299933931e-01, best bound 7.629824611939e-01, gap 0.9998%
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5_0sr0ji.pyomo.lp
Reading time = 0.02 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkmf4judx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.749976
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 9.088453e-01, 1439 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90885 0 136 0.74998 0.90885 21.2% - 0s
0 0 0.85280 0 176 0.74998 0.85280 13.7% - 0s
0 0 0.85264 0 176 0.74998 0.85264 13.7% - 0s
0 0 0.85119 0 190 0.74998 0.85119 13.5% - 0s
0 0 0.85115 0 192 0.74998 0.85115 13.5% - 0s
0 0 0.84990 0 197 0.74998 0.84990 13.3% - 0s
0 0 0.84986 0 195 0.74998 0.84986 13.3% - 0s
0 0 0.84976 0 194 0.74998 0.84976 13.3% - 0s
0 0 0.84976 0 167 0.74998 0.84976 13.3% - 0s
0 2 0.84976 0 167 0.74998 0.84976 13.3% - 0s
748 541 0.81334 16 185 0.74998 0.81334 8.45% 19.9 5s
2111 847 0.76880 43 143 0.74998 0.80564 7.42% 26.6 10s
3418 1232 0.75849 41 152 0.74998 0.79878 6.51% 29.8 15s
H 5333 2109 0.7499756 0.79530 6.04% 28.8 20s
6928 2606 0.75876 56 126 0.74998 0.79247 5.67% 29.1 25s
8626 3117 0.77294 28 165 0.74998 0.79051 5.40% 29.0 30s
9820 3395 0.75810 57 130 0.74998 0.78947 5.27% 29.1 35s
11749 3808 0.77845 45 140 0.74998 0.78767 5.03% 29.6 40s
13896 4148 cutoff 54 0.74998 0.78564 4.76% 29.7 46s
15452 4297 0.75331 42 140 0.74998 0.78449 4.60% 30.2 50s
17484 4578 cutoff 43 0.74998 0.78283 4.38% 30.7 56s
18780 4764 0.76235 39 160 0.74998 0.78203 4.27% 30.8 60s
20274 4851 0.75737 59 139 0.74998 0.78043 4.06% 31.5 65s
20698 4878 0.76629 44 148 0.74998 0.78025 4.04% 31.6 84s
21117 4887 cutoff 54 0.74998 0.77991 3.99% 31.7 85s
22229 4931 0.76652 62 143 0.74998 0.77879 3.84% 32.9 90s
23810 5006 cutoff 58 0.74998 0.77729 3.64% 34.2 95s
25026 5087 infeasible 57 0.74998 0.77621 3.50% 35.1 100s
26472 5198 0.75457 45 140 0.74998 0.77515 3.36% 35.9 105s
27716 5112 cutoff 54 0.74998 0.77366 3.16% 37.0 110s
29165 5167 cutoff 43 0.74998 0.77253 3.01% 37.6 115s
31016 5256 0.76676 57 145 0.74998 0.77118 2.83% 38.4 121s
32531 5341 0.75643 37 168 0.74998 0.77015 2.69% 38.9 126s
33948 5400 0.76501 68 126 0.74998 0.76892 2.53% 39.5 130s
35300 5341 0.76346 38 192 0.74998 0.76785 2.38% 40.2 136s
36703 5219 cutoff 73 0.74998 0.76675 2.24% 40.9 141s
38109 5136 0.75409 43 167 0.74998 0.76566 2.09% 41.4 146s
39380 5153 0.75632 66 149 0.74998 0.76505 2.01% 41.5 150s
40531 5079 cutoff 49 0.74998 0.76431 1.91% 41.7 156s
41584 4979 cutoff 51 0.74998 0.76359 1.82% 41.9 160s
43208 4834 0.75401 53 130 0.74998 0.76245 1.66% 42.2 166s
44557 5030 0.75615 53 144 0.74998 0.76187 1.59% 42.0 170s
46996 5705 cutoff 37 0.74998 0.76134 1.51% 41.1 175s
50289 6938 infeasible 129 0.74998 0.76092 1.46% 39.7 180s
53622 8209 0.75253 152 89 0.74998 0.76066 1.42% 38.4 185s
56598 9331 cutoff 66 0.74998 0.76041 1.39% 37.3 190s
59878 10560 cutoff 171 0.74998 0.76016 1.36% 36.2 195s
62695 11424 infeasible 132 0.74998 0.76004 1.34% 35.5 200s
65211 12141 0.75913 135 87 0.74998 0.75986 1.32% 34.9 205s
68365 13079 0.75148 138 83 0.74998 0.75967 1.29% 34.1 210s
71444 14047 0.75911 128 99 0.74998 0.75953 1.27% 33.4 215s
75252 15286 cutoff 129 0.74998 0.75938 1.25% 32.6 220s
78336 16318 cutoff 131 0.74998 0.75923 1.23% 31.9 225s
81342 17224 cutoff 147 0.74998 0.75911 1.22% 31.4 230s
84514 18135 0.75078 120 105 0.74998 0.75899 1.20% 30.9 235s
87420 19000 0.75358 71 147 0.74998 0.75880 1.18% 30.5 241s
89378 19546 0.75378 138 95 0.74998 0.75870 1.16% 30.2 245s
92682 20365 0.75854 113 126 0.74998 0.75857 1.15% 29.8 250s
95457 21079 cutoff 97 0.74998 0.75845 1.13% 29.5 255s
98499 21913 0.75106 66 143 0.74998 0.75829 1.11% 29.2 260s
101379 22799 0.75457 142 86 0.74998 0.75817 1.09% 28.8 265s
105049 24080 cutoff 159 0.74998 0.75804 1.08% 28.4 270s
108234 25207 0.75141 137 90 0.74998 0.75796 1.06% 28.0 275s
111264 26185 0.75785 143 82 0.74998 0.75785 1.05% 27.7 280s
114748 27285 cutoff 151 0.74998 0.75774 1.03% 27.3 285s
118303 28436 0.75241 135 97 0.74998 0.75765 1.02% 27.0 290s
121337 29479 0.75749 136 99 0.74998 0.75759 1.01% 26.7 295s
125053 30763 0.75027 170 48 0.74998 0.75750 1.00% 26.3 300s
Cutting planes:
Gomory: 217
Cover: 1
Implied bound: 62
Projected implied bound: 95
MIR: 35
Flow cover: 161
Inf proof: 300
Explored 126664 nodes (3314947 simplex iterations) in 301.65 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.749976 0.749976
Optimal solution found (tolerance 1.00e-02)
Best objective 7.499755765171e-01, best bound 7.574649322349e-01, gap 0.9986%
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyrlhgdmi.pyomo.lp
Reading time = 0.02 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvg2rw26s.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [9e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.743157
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 9.005088e-01, 1523 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90051 0 140 0.74316 0.90051 21.2% - 0s
0 0 0.84730 0 166 0.74316 0.84730 14.0% - 0s
0 0 0.84701 0 166 0.74316 0.84701 14.0% - 0s
0 0 0.84311 0 180 0.74316 0.84311 13.4% - 0s
0 0 0.84268 0 182 0.74316 0.84268 13.4% - 0s
0 0 0.84260 0 181 0.74316 0.84260 13.4% - 0s
0 0 0.84252 0 186 0.74316 0.84252 13.4% - 0s
0 0 0.84252 0 184 0.74316 0.84252 13.4% - 0s
0 0 0.84252 0 164 0.74316 0.84252 13.4% - 0s
0 2 0.84252 0 161 0.74316 0.84252 13.4% - 0s
746 541 0.80941 11 167 0.74316 0.80941 8.92% 23.6 5s
2577 1078 cutoff 35 0.74316 0.79685 7.22% 20.5 10s
H 3386 1375 0.7431570 0.79399 6.84% 21.0 13s
4094 1606 0.75800 51 142 0.74316 0.79116 6.46% 22.1 15s
H 5110 1837 0.7431570 0.78742 5.96% 24.6 19s
5114 1811 infeasible 22 0.74316 0.78742 5.96% 24.6 20s
6163 2031 infeasible 39 0.74316 0.78367 5.45% 26.6 25s
7611 2120 0.76223 33 157 0.74316 0.77895 4.82% 29.9 30s
9095 2164 0.76966 29 155 0.74316 0.77466 4.24% 31.5 35s
10722 2191 0.74417 66 113 0.74316 0.77093 3.74% 32.5 40s
12665 2334 cutoff 41 0.74316 0.76682 3.18% 32.4 45s
13896 2374 0.76124 47 147 0.74316 0.76419 2.83% 32.4 50s
16057 2569 0.75291 38 144 0.74316 0.76202 2.54% 31.8 55s
17728 2603 0.74955 67 123 0.74316 0.76023 2.30% 31.6 60s
H18190 2676 0.7431570 0.75952 2.20% 31.5 62s
H18192 2677 0.7431570 0.75952 2.20% 31.5 62s
19043 2619 0.75228 37 156 0.74316 0.75874 2.10% 31.5 65s
21263 2713 cutoff 46 0.74316 0.75672 1.83% 30.8 70s
22123 2726 0.74720 38 138 0.74316 0.75605 1.74% 30.6 91s
23887 2964 0.74934 38 169 0.74316 0.75502 1.60% 30.1 95s
26267 3607 cutoff 92 0.74316 0.75432 1.50% 29.4 100s
29010 4468 cutoff 49 0.74316 0.75382 1.44% 28.3 105s
31937 5676 0.74705 153 104 0.74316 0.75333 1.37% 27.1 110s
34770 6852 infeasible 184 0.74316 0.75301 1.33% 26.0 115s
38470 8440 0.75250 172 100 0.74316 0.75274 1.29% 24.8 120s
41809 10031 0.74585 185 58 0.74316 0.75257 1.27% 23.9 125s
45013 11320 0.75005 102 114 0.74316 0.75238 1.24% 23.1 130s
49006 13020 cutoff 181 0.74316 0.75216 1.21% 22.2 135s
53154 14985 cutoff 147 0.74316 0.75201 1.19% 21.4 140s
56748 16545 0.74749 166 73 0.74316 0.75186 1.17% 20.8 145s
59843 17660 cutoff 190 0.74316 0.75176 1.16% 20.4 150s
64144 19349 0.74518 188 45 0.74316 0.75163 1.14% 19.8 155s
67971 20828 0.74398 206 52 0.74316 0.75154 1.13% 19.4 160s
72349 22787 cutoff 225 0.74316 0.75149 1.12% 18.9 165s
76037 24269 0.74954 165 76 0.74316 0.75145 1.12% 18.5 170s
79853 25950 0.74505 195 67 0.74316 0.75140 1.11% 18.2 175s
83878 27644 0.74346 225 34 0.74316 0.75134 1.10% 17.9 180s
87626 29168 cutoff 153 0.74316 0.75129 1.09% 17.7 185s
89636 30047 0.75114 147 89 0.74316 0.75126 1.09% 17.5 190s
93780 31905 cutoff 169 0.74316 0.75122 1.08% 17.3 195s
97971 33645 0.74749 36 177 0.74316 0.75117 1.08% 17.0 200s
101578 35235 0.74376 197 57 0.74316 0.75115 1.08% 16.8 205s
105387 36909 0.74838 175 77 0.74316 0.75112 1.07% 16.7 210s
109829 38737 cutoff 196 0.74316 0.75108 1.07% 16.5 215s
113461 40210 0.75104 156 101 0.74316 0.75105 1.06% 16.3 220s
117253 41787 0.74874 167 83 0.74316 0.75102 1.06% 16.2 225s
120551 43170 cutoff 205 0.74316 0.75098 1.05% 16.1 230s
124766 44851 0.74797 149 91 0.74316 0.75096 1.05% 16.0 235s
128541 46376 0.74765 171 101 0.74316 0.75092 1.04% 15.9 240s
130930 47556 0.75090 154 87 0.74316 0.75091 1.04% 15.8 245s
134964 49239 0.74359 169 80 0.74316 0.75088 1.04% 15.7 250s
138570 50600 0.74697 120 97 0.74316 0.75085 1.04% 15.6 255s
142369 52224 0.74458 184 67 0.74316 0.75083 1.03% 15.5 260s
145990 53459 0.74585 180 61 0.74316 0.75080 1.03% 15.5 265s
148891 54488 0.74734 178 71 0.74316 0.75077 1.02% 15.4 270s
152543 56108 cutoff 172 0.74316 0.75075 1.02% 15.4 275s
156520 57895 0.74355 201 57 0.74316 0.75073 1.02% 15.3 280s
160612 59612 0.74508 182 86 0.74316 0.75070 1.02% 15.2 285s
164088 60924 infeasible 142 0.74316 0.75068 1.01% 15.2 290s
167148 61937 0.74922 170 77 0.74316 0.75066 1.01% 15.2 295s
169772 62826 0.74942 156 105 0.74316 0.75065 1.01% 15.1 300s
173857 64261 0.74504 192 73 0.74316 0.75062 1.00% 15.1 305s
177094 65385 cutoff 172 0.74316 0.75060 1.00% 15.0 310s
Cutting planes:
Gomory: 198
Cover: 3
Implied bound: 57
Projected implied bound: 80
MIR: 29
Flow cover: 159
GUB cover: 1
Inf proof: 398
Explored 179662 nodes (2696624 simplex iterations) in 313.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.743157 0.743157 0.743157 ... 0.743157
Optimal solution found (tolerance 1.00e-02)
Best objective 7.431570348211e-01, best bound 7.505881435388e-01, gap 0.9999%
Run 9
Seed for training 1751
Seed for simulation 1351
direc: array([[-1.01931812e+00, 7.52582091e+01, 4.02776587e+00],
[-1.03439560e+01, 6.00000008e+00, 4.00000005e+00],
[ 2.85109141e-09, 2.33990811e-11, 9.45914688e-12]])
fopt: 0.5304353847082145
fun: -0.5309545832982139
message: 'Optimization terminated successfully.'
nfev: 608
nit: 8
status: 0
success: True
x: array([ 85. , 228.00348747, 84.01063415])
xopt: array([ 85., 228., 85.])
zopt: array([ 85., 313., 398.])
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpo3rmhsnl.pyomo.lp
Reading time = 0.02 seconds
x2233: 2767 rows, 1990 columns, 9139 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8vhk74wt.gurobi.mst
Changed value of parameter MIPGap to 0.0
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2767 rows, 1990 columns and 9139 nonzeros
Variable types: 1267 continuous, 723 integer (720 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [2e-04, 1e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.530435
Presolve removed 899 rows and 580 columns
Presolve time: 0.04s
Presolved: 1868 rows, 1410 columns, 6626 nonzeros
Variable types: 756 continuous, 654 integer (649 binary)
Root relaxation: objective 7.799480e-01, 1375 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.77995 0 150 0.53044 0.77995 47.0% - 0s
0 0 0.75624 0 148 0.53044 0.75624 42.6% - 0s
0 0 0.75624 0 149 0.53044 0.75624 42.6% - 0s
0 0 0.75455 0 174 0.53044 0.75455 42.3% - 0s
0 0 0.75439 0 179 0.53044 0.75439 42.2% - 0s
0 0 0.75426 0 187 0.53044 0.75426 42.2% - 0s
0 0 0.75426 0 187 0.53044 0.75426 42.2% - 0s
0 0 0.75422 0 188 0.53044 0.75422 42.2% - 0s
0 0 0.75416 0 187 0.53044 0.75416 42.2% - 0s
0 0 0.75416 0 187 0.53044 0.75416 42.2% - 0s
0 0 0.75416 0 170 0.53044 0.75416 42.2% - 0s
0 2 0.75416 0 169 0.53044 0.75416 42.2% - 0s
738 581 0.72994 13 166 0.53044 0.72994 37.6% 26.9 5s
1575 891 0.55127 51 157 0.53044 0.72994 37.6% 38.2 10s
2827 1393 0.71484 24 171 0.53044 0.71940 35.6% 41.4 15s
H 3602 1565 0.5603558 0.71484 27.6% 45.5 19s
3870 1685 0.67707 37 175 0.56036 0.71446 27.5% 45.4 20s
4680 2058 cutoff 30 0.56036 0.71301 27.2% 47.1 25s
5837 2544 0.68836 31 161 0.56036 0.71023 26.7% 48.6 30s
6965 3020 0.63994 35 145 0.56036 0.70674 26.1% 49.5 35s
7948 3337 infeasible 35 0.56036 0.70415 25.7% 49.8 40s
8887 3671 0.68106 36 167 0.56036 0.70220 25.3% 49.8 45s
10138 4123 0.60435 33 168 0.56036 0.69911 24.8% 50.8 50s
11253 4574 cutoff 38 0.56036 0.69724 24.4% 51.3 56s
12138 4883 cutoff 34 0.56036 0.69527 24.1% 52.3 61s
12934 5180 cutoff 26 0.56036 0.69418 23.9% 52.5 66s
14010 5589 0.62404 40 152 0.56036 0.69248 23.6% 53.2 71s
14931 5856 0.67050 39 169 0.56036 0.69088 23.3% 54.0 76s
15863 6132 0.59749 37 166 0.56036 0.68955 23.1% 55.1 81s
16580 6356 0.57975 39 154 0.56036 0.68860 22.9% 55.5 85s
H16588 5364 0.5835927 0.68860 18.0% 55.5 85s
H16616 4266 0.6046650 0.68860 13.9% 55.6 87s
16909 4285 0.65128 32 165 0.60466 0.68823 13.8% 56.1 90s
17842 4497 0.67240 31 184 0.60466 0.68697 13.6% 56.7 95s
18798 4690 0.62863 32 161 0.60466 0.68516 13.3% 57.6 101s
19871 4900 0.62217 42 171 0.60466 0.68362 13.1% 58.2 106s
20581 5045 0.61571 50 158 0.60466 0.68276 12.9% 58.4 110s
21078 5207 0.61732 72 170 0.60466 0.68217 12.8% 58.2 132s
21087 5213 0.67352 38 239 0.60466 0.68217 12.8% 58.2 136s
21092 5216 0.64998 41 274 0.60466 0.68217 12.8% 58.1 140s
21098 5220 0.62401 43 286 0.60466 0.68217 12.8% 58.1 145s
21102 5223 0.63913 34 265 0.60466 0.68217 12.8% 58.1 150s
21110 5228 0.60525 57 280 0.60466 0.68217 12.8% 58.1 155s
21114 5231 0.65065 37 285 0.60466 0.68217 12.8% 58.1 161s
21118 5234 0.64666 34 287 0.60466 0.68217 12.8% 58.1 165s
21121 5236 0.67817 29 298 0.60466 0.68217 12.8% 58.1 170s
21126 5239 0.65012 44 288 0.60466 0.68217 12.8% 58.0 175s
21130 5242 0.63961 38 285 0.60466 0.68217 12.8% 58.0 180s
21134 5244 0.62038 31 298 0.60466 0.68217 12.8% 58.0 185s
21139 5248 0.65325 39 306 0.60466 0.68217 12.8% 58.0 190s
21142 5250 0.60868 40 298 0.60466 0.68217 12.8% 58.0 195s
21146 5252 0.64004 56 310 0.60466 0.68217 12.8% 58.0 200s
21151 5256 0.66067 35 310 0.60466 0.68217 12.8% 58.0 205s
21156 5259 0.63800 48 311 0.60466 0.68217 12.8% 58.0 210s
21160 5262 0.62387 32 316 0.60466 0.68217 12.8% 58.0 215s
21166 5266 0.67152 33 299 0.60466 0.68217 12.8% 57.9 220s
21171 5269 0.62035 48 314 0.60466 0.68217 12.8% 57.9 225s
21176 5272 0.62194 37 324 0.60466 0.68217 12.8% 57.9 230s
21181 5276 0.66855 31 318 0.60466 0.68217 12.8% 57.9 235s
21185 5278 0.65706 32 329 0.60466 0.68217 12.8% 57.9 240s
21189 5281 0.64216 61 322 0.60466 0.68217 12.8% 57.9 245s
21194 5284 0.60904 43 324 0.60466 0.68217 12.8% 57.9 250s
H21196 5019 0.6064648 0.68217 12.5% 57.9 255s
21201 5022 0.60925 41 335 0.60646 0.68217 12.5% 57.8 262s
21204 5024 0.63921 43 334 0.60646 0.68217 12.5% 57.8 265s
21207 5026 0.66658 34 341 0.60646 0.68217 12.5% 57.8 270s
21211 5029 0.62639 63 325 0.60646 0.68217 12.5% 57.8 276s
21215 5031 0.61939 53 335 0.60646 0.68217 12.5% 57.8 280s
21219 5034 0.63610 45 295 0.60646 0.68153 12.4% 57.8 285s
21224 5037 0.63537 79 322 0.60646 0.68111 12.3% 57.8 290s
21228 5040 0.67318 39 313 0.60646 0.68063 12.2% 57.8 295s
21233 5043 0.64503 37 320 0.60646 0.68019 12.2% 57.8 300s
21238 5047 0.61485 52 334 0.60646 0.67958 12.1% 57.7 305s
21241 5049 0.64137 36 332 0.60646 0.67947 12.0% 57.7 310s
21245 5051 0.61893 50 334 0.60646 0.67942 12.0% 57.7 315s
21249 5054 0.66906 29 322 0.60646 0.67933 12.0% 57.7 320s
21253 5057 0.63481 32 323 0.60646 0.67926 12.0% 57.7 325s
21258 5060 0.64935 36 324 0.60646 0.67916 12.0% 57.7 330s
21263 5063 0.62111 48 328 0.60646 0.67900 12.0% 57.7 335s
21265 5065 0.61541 52 326 0.60646 0.67898 12.0% 57.7 340s
21270 5068 0.62509 86 339 0.60646 0.67885 11.9% 57.7 345s
21274 5071 0.67604 35 334 0.60646 0.67884 11.9% 57.6 350s
21279 5074 0.66396 37 330 0.60646 0.67869 11.9% 57.6 355s
21283 5077 0.67865 35 334 0.60646 0.67865 11.9% 57.6 360s
21288 5080 0.60646 53 336 0.60646 0.67854 11.9% 57.6 365s
21291 5082 0.65201 36 329 0.60646 0.67847 11.9% 57.6 370s
21295 5085 0.61107 60 338 0.60646 0.67839 11.9% 57.6 375s
21299 5087 0.62280 40 337 0.60646 0.67839 11.9% 57.6 381s
21301 5092 0.67769 24 297 0.60646 0.67839 11.9% 61.8 392s
21303 5091 infeasible 25 0.60646 0.67818 11.8% 61.8 403s
21307 5092 0.67057 26 302 0.60646 0.67392 11.1% 62.1 414s
21311 5090 0.66872 27 329 0.60646 0.66872 10.3% 62.2 415s
21337 5100 infeasible 29 0.60646 0.66872 10.3% 62.9 420s
21361 5104 0.62799 32 303 0.60646 0.66872 10.3% 63.3 426s
21426 5117 0.63311 34 265 0.60646 0.66680 9.95% 63.9 430s
21540 5152 0.63015 32 278 0.60646 0.66675 9.94% 64.5 435s
21779 5239 cutoff 51 0.60646 0.66654 9.91% 65.2 440s
H21860 4993 0.6076692 0.66534 9.49% 65.5 444s
21865 4993 0.62100 35 283 0.60767 0.66534 9.49% 65.7 445s
21967 4992 0.64975 39 269 0.60767 0.66494 9.42% 66.6 450s
22067 5002 cutoff 35 0.60767 0.66321 9.14% 68.0 455s
22166 5011 0.63605 42 278 0.60767 0.66255 9.03% 69.6 461s
22279 5024 0.64760 37 282 0.60767 0.66227 8.99% 71.0 465s
22410 5051 0.63050 53 259 0.60767 0.66135 8.83% 72.5 471s
22509 5079 cutoff 43 0.60767 0.66135 8.83% 73.5 475s
22663 5110 infeasible 37 0.60767 0.66044 8.68% 75.0 481s
22778 5122 0.64460 43 277 0.60767 0.65893 8.44% 76.1 486s
22888 5150 0.62943 42 240 0.60767 0.65868 8.39% 76.9 491s
23179 5242 0.63048 43 239 0.60767 0.65836 8.34% 77.6 497s
23313 5265 0.61298 63 236 0.60767 0.65818 8.31% 78.5 502s
23397 5277 0.64938 48 252 0.60767 0.65810 8.30% 79.2 505s
23551 5298 0.64699 38 263 0.60767 0.65809 8.30% 80.8 511s
23850 5388 cutoff 51 0.60767 0.65709 8.13% 81.8 518s
23943 5394 0.65000 39 283 0.60767 0.65680 8.09% 82.7 521s
24081 5440 0.65255 42 284 0.60767 0.65680 8.09% 83.3 525s
24386 5503 0.62315 50 259 0.60767 0.65616 7.98% 85.0 533s
24489 5512 0.64549 50 251 0.60767 0.65605 7.96% 85.9 537s
24604 5513 0.62253 53 257 0.60767 0.65593 7.94% 86.9 541s
24712 5511 0.63119 50 277 0.60767 0.65571 7.91% 87.7 548s
24850 5524 cutoff 48 0.60767 0.65551 7.87% 88.7 552s
24950 5530 0.62647 48 270 0.60767 0.65533 7.84% 89.9 557s
25028 5539 0.65449 40 280 0.60767 0.65533 7.84% 90.5 562s
25157 5566 0.64052 47 266 0.60767 0.65528 7.84% 91.5 567s
25293 5590 0.63531 43 256 0.60767 0.65519 7.82% 92.1 572s
25474 5625 0.64919 45 282 0.60767 0.65496 7.78% 93.2 578s
25637 5629 0.63104 44 251 0.60767 0.65475 7.75% 94.4 584s
25822 5665 cutoff 51 0.60767 0.65458 7.72% 95.7 590s
25971 5671 0.64808 42 283 0.60767 0.65450 7.71% 97.0 596s
26248 5759 0.63900 48 268 0.60767 0.65441 7.69% 97.9 600s
Cutting planes:
Gomory: 206
Cover: 15
Implied bound: 33
Projected implied bound: 75
Clique: 3
MIR: 209
StrongCG: 4
Flow cover: 774
Inf proof: 45
Zero half: 4
Explored 26354 nodes (2601611 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.607669 0.606465 0.604665 ... 0.530435
Time limit reached
Best objective 6.076691742552e-01, best bound 6.542882498932e-01, gap 7.6718%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp_zts2ui0.pyomo.lp
Reading time = 0.01 seconds
x1087: 1261 rows, 1081 columns, 3973 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpexm46su2.gurobi.mst
Optimize a model with 1261 rows, 1081 columns and 3973 nonzeros
Coefficient statistics:
Matrix range [4e-03, 2e+00]
Objective range [2e-02, 2e-02]
Bounds range [0e+00, 0e+00]
RHS range [1e+00, 2e+02]
Presolve removed 878 rows and 625 columns
Presolve time: 0.01s
Presolved: 383 rows, 456 columns, 1897 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.8553224e+01 4.711250e+02 0.000000e+00 0s
225 1.1791282e+01 0.000000e+00 0.000000e+00 0s
Solved in 225 iterations and 0.01 seconds
Optimal objective 1.179128169e+01
*******************************************
Period: 1
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.00974116, 0.00149752, 0.00149752]])
fopt: 1.084625924166922
fun: -1.0904363079500337
message: 'Optimization terminated successfully.'
nfev: 161
nit: 2
status: 0
success: True
x: array([14.00000021, -0.99998089, -0.99998089])
xopt: array([14., 0., 0.])
zopt: array([14., 14., 14.])
*******************************************
Period: 2
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.31556930e-03, 8.17126717e-05, 8.05725720e-05]])
fopt: 1.8227522468613895
fun: -1.8453591668017586
message: 'Optimization terminated successfully.'
nfev: 155
nit: 2
status: 0
success: True
x: array([33.19644024, -0.99979712, -0.999748 ])
xopt: array([33., 0., 0.])
zopt: array([33., 33., 33.])
*******************************************
Period: 3
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-9.91348586e-05, 4.37252797e-06, 1.43359472e-05]])
fopt: 1.5708339551092392
fun: -1.586715687635877
message: 'Optimization terminated successfully.'
nfev: 187
nit: 3
status: 0
success: True
x: array([49.02024332, -0.82274633, -3.99996226])
xopt: array([49., 0., 0.])
zopt: array([49., 49., 49.])
*******************************************
Period: 4
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 4.47536613e-05, -1.43442648e-06, 7.21880131e-07]])
fopt: 1.2564589651143532
fun: -1.2681399585522841
message: 'Optimization terminated successfully.'
nfev: 200
nit: 2
status: 0
success: True
x: array([62.99601825, -0.98707176, 2.00000044])
xopt: array([63., 0., 2.])
zopt: array([63., 63., 65.])
*******************************************
Period: 5
direc: array([[0. , 0. , 1. ],
[0. , 1. , 0. ],
[0.0144788, 0. , 0. ]])
fopt: 1.001819440308004
fun: -1.0104035117104455
message: 'Optimization terminated successfully.'
nfev: 573
nit: 4
status: 0
success: True
x: array([62.99644852, 1. , 1. ])
xopt: array([63., 1., 1.])
zopt: array([63., 64., 65.])
*******************************************
Period: 6
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[ 0., -0., 0.]])
fopt: 0.8296688220743419
fun: -0.8342609227146875
message: 'Optimization terminated successfully.'
nfev: 221
nit: 2
status: 0
success: True
x: array([63.0971144 , -0.37556012, 1.00000019])
xopt: array([63., 0., 1.])
zopt: array([63., 63., 64.])
*******************************************
Period: 7
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.6667888791232746
fun: -0.671134578222974
message: 'Optimization terminated successfully.'
nfev: 206
nit: 3
status: 0
success: True
x: array([1.46000010e+02, 1.00379749e+00, 1.00806135e-01])
xopt: array([146., 1., 0.])
zopt: array([146., 147., 147.])
*******************************************
Period: 8
/home/hdpp/or-gym/or_gym/envs/classic_or/newsvendor.py:305: RuntimeWarning: overflow encountered in multiply P = a**n*np.sum(p*S - (r*RR + k*U + h*II)) #discounted profit in period n /home/hdpp/miniconda3/lib/python3.6/site-packages/numpy/core/fromnumeric.py:90: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:1970: RuntimeWarning: overflow encountered in double_scalars xmid = 0.5 * (a + b) /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2014: RuntimeWarning: overflow encountered in double_scalars u = x - tol1 /home/hdpp/miniconda3/lib/python3.6/site-packages/scipy/optimize/optimize.py:2016: RuntimeWarning: invalid value encountered in double_scalars u = x + rat
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: -inf
fun: nan
message: 'NaN result encountered.'
nfev: 1523
nit: 2
status: 3
success: False
x: array([nan, nan, nan])
xopt: array([nan, nan, nan])
zopt: array([nan, nan, nan])
*******************************************
Period: 9
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.94671862e+00, 9.88500904e-01, -3.81270752e-04]])
fopt: 0.5706278476569852
fun: -0.5726304211910481
message: 'Optimization terminated successfully.'
nfev: 289
nit: 4
status: 0
success: True
x: array([165.05363138, 6.01057405, -3.58495374])
xopt: array([165., 7., 0.])
zopt: array([165., 172., 172.])
*******************************************
Period: 10
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[-1.06597717e+02, 8.65896631e+01, -4.96549098e-04]])
fopt: 0.7080567723520885
fun: -0.7056456834568356
message: 'Optimization terminated successfully.'
nfev: 344
nit: 4
status: 0
success: True
x: array([63.00452444, 89.62933926, -0.9876169 ])
xopt: array([63., 90., 0.])
zopt: array([ 63., 153., 153.])
*******************************************
Period: 11
direc: array([[-3.97665424, 3.97665414, 10.58188846],
[-4.39777433, 3.95665833, 7.95036292],
[ 0. , 1. , 0. ]])
fopt: 0.5778864744724935
fun: -0.5793725619475966
message: 'Optimization terminated successfully.'
nfev: 543
nit: 6
status: 0
success: True
x: array([160.54615445, 14.00577307, 22.01103293])
xopt: array([160., 14., 22.])
zopt: array([160., 174., 196.])
*******************************************
Period: 12
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[-0.30645121, 0.00974648, -0.14335045]])
fopt: 0.5660719345328611
fun: -0.5690307262977974
message: 'Optimization terminated successfully.'
nfev: 193
nit: 2
status: 0
success: True
x: array([63.00764646, -0.97305329, 30.00563333])
xopt: array([63., 0., 30.])
zopt: array([63., 63., 93.])
*******************************************
Period: 13
direc: array([[-1.34520835e-07, -0.00000000e+00, -4.33108331e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.06637056e-15, -0.00000000e+00, -6.92471907e-09]])
fopt: 0.3550111102432484
fun: -0.35254863789974156
message: 'Optimization terminated successfully.'
nfev: 373
nit: 3
status: 0
success: True
x: array([63.11879383, 1. , 4. ])
xopt: array([63., 1., 5.])
zopt: array([63., 64., 69.])
*******************************************
Period: 14
direc: array([[ 0.03832731, -0.00120328, 0.00130181],
[ 0. , 1. , 0. ],
[-0. , -0. , 0. ]])
fopt: 0.5907031618366632
fun: -0.5935960818721153
message: 'Optimization terminated successfully.'
nfev: 555
nit: 7
status: 0
success: True
x: array([62.95448722, -0.99997702, 49.08424187])
xopt: array([63., 0., 50.])
zopt: array([ 63., 63., 113.])
*******************************************
Period: 15
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.5433258329387023
fun: -0.5450936521055633
message: 'Optimization terminated successfully.'
nfev: 187
nit: 3
status: 0
success: True
x: array([62.99921295, -0.99999553, 49.0000428 ])
xopt: array([63., 0., 49.])
zopt: array([ 63., 63., 112.])
*******************************************
Period: 16
direc: array([[-1.75902619e-02, 5.06199316e-04, -5.96123002e-04],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.91612880e-01, -2.55948808e+00, 4.45600960e+01]])
fopt: 0.5032797573003925
fun: -0.5060446797826016
message: 'Optimization terminated successfully.'
nfev: 436
nit: 5
status: 0
success: True
x: array([62.9568707 , -0.99952589, 49.00066149])
xopt: array([63., 0., 49.])
zopt: array([ 63., 63., 112.])
*******************************************
Period: 17
direc: array([[-5.12240879e-07, -0.00000000e+00, -1.64545449e-08],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 9.44546858e-05, 5.31838522e-04, -1.28438896e-02]])
fopt: 0.4675610692502736
fun: -0.4691389458707966
message: 'Optimization terminated successfully.'
nfev: 392
nit: 4
status: 0
success: True
x: array([62.92075588, -0.99969084, 49.38626422])
xopt: array([63., 0., 49.])
zopt: array([ 63., 63., 112.])
*******************************************
Period: 18
direc: array([[ 6.92355772e+01, -1.54457960e+01, 1.55677857e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.47125846e-06, 3.77637800e-04, -1.23414873e-02]])
fopt: 0.26895142410019407
fun: -0.2735625780149563
message: 'Optimization terminated successfully.'
nfev: 350
nit: 4
status: 0
success: True
x: array([ 78.94007594, -16.99962718, 25.00251806])
xopt: array([78., 0., 26.])
zopt: array([ 78., 78., 104.])
*******************************************
Period: 19
direc: array([[ 6.59998433e+01, -1.32270029e+01, 1.33314687e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-1.10743222e-07, 2.10590784e+01, 6.74123181e+01]])
fopt: 0.4354719332292823
fun: -0.4327112102392407
message: 'Optimization terminated successfully.'
nfev: 480
nit: 6
status: 0
success: True
x: array([82.00037065, 6.00000001, 88.46015507])
xopt: array([82., 7., 89.])
zopt: array([ 82., 89., 178.])
*******************************************
Period: 20
direc: array([[ 6.61298425e+01, -1.32530560e+01, 1.33577276e+01],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.67213774e-13, 1.34511262e-05, -5.21788754e-04]])
fopt: 0.21947821366910794
fun: -0.22448768578308018
message: 'Optimization terminated successfully.'
nfev: 322
nit: 4
status: 0
success: True
x: array([ 77.02706287, -14.92507364, 20.00247617])
xopt: array([77., 0., 21.])
zopt: array([77., 77., 98.])
*******************************************
Period: 21
direc: array([[ 68.87480808, -15.36531188, 15.48666587],
[ 0. , 1. , 0. ],
[ -0.14568363, -0.65653542, 27.18332698]])
fopt: 0.36151937848116145
fun: -0.35871936173078534
message: 'Optimization terminated successfully.'
nfev: 401
nit: 6
status: 0
success: True
x: array([ 82.9807885 , -17.4767144 , 76.03307784])
xopt: array([82., 0., 77.])
zopt: array([ 82., 82., 159.])
*******************************************
Period: 22
direc: array([[ 7.26072730e-04, -2.30855491e-05, 1.16822878e-05],
[-1.01902558e-04, 3.24028866e-06, -1.01558111e-01],
[-2.37244637e-06, 9.90000075e-01, -2.16179296e-03]])
fopt: 0.4064358346201622
fun: -0.4050228452781853
message: 'Optimization terminated successfully.'
nfev: 598
nit: 7
status: 0
success: True
x: array([63.22813522, 2.00085047, 79.02867952])
xopt: array([63., 3., 80.])
zopt: array([ 63., 66., 146.])
*******************************************
Period: 23
direc: array([[ 0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[ 1.37283228e+01, -4.40264957e-01, 1.69077827e+01],
[ 1.47396494e-13, -1.64510247e-06, -1.64510229e-06]])
fopt: 0.4387948429335587
fun: -0.4367990984160521
message: 'Optimization terminated successfully.'
nfev: 642
nit: 7
status: 0
success: True
x: array([76.50555606, 3.00065061, 95. ])
xopt: array([76., 4., 96.])
zopt: array([ 76., 80., 176.])
*******************************************
Period: 24
direc: array([[ 2.46378884e-01, -7.91049237e-03, 8.69759079e-03],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 3.22575962e-08, -1.69358559e-09, 2.42948462e-07]])
fopt: 0.2722892010411736
fun: -0.2719771135124854
message: 'Optimization terminated successfully.'
nfev: 338
nit: 3
status: 0
success: True
x: array([62.9539234 , -0.99418101, 5.03403288])
xopt: array([63., 0., 6.])
zopt: array([63., 63., 69.])
*******************************************
Period: 25
direc: array([[-0.04870974, -0. , -0.0015841 ],
[ 0. , 1. , 0. ],
[-0. , 0. , 0. ]])
fopt: 0.29882421469247994
fun: -0.29828218769727377
message: 'Optimization terminated successfully.'
nfev: 301
nit: 3
status: 0
success: True
x: array([63.0534998 , 1.00166115, 5.00750996])
xopt: array([63., 1., 6.])
zopt: array([63., 64., 70.])
*******************************************
Period: 26
direc: array([[8.76088251e+01, 0.00000000e+00, 1.07176815e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.25060880e-07, 3.04736941e-12, 7.72598815e-09]])
fopt: 0.3227146177243411
fun: -0.32083582000977734
message: 'Optimization terminated successfully.'
nfev: 476
nit: 4
status: 0
success: True
x: array([170.35106218, 1.00068915, 5.00747288])
xopt: array([170., 1., 6.])
zopt: array([170., 171., 177.])
*******************************************
Period: 27
direc: array([[ 8.76365016e+01, 4.52270661e-03, 1.07705386e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-4.18546950e+01, 8.46460943e+01, 1.67037228e+02]])
fopt: 0.691020617832982
fun: -0.6895070554857632
message: 'Optimization terminated successfully.'
nfev: 482
nit: 6
status: 0
success: True
x: array([ 74.00196843, 85. , 173.37984225])
xopt: array([ 75., 85., 174.])
zopt: array([ 75., 160., 334.])
*******************************************
Period: 28
direc: array([[4.75617459e-02, 2.81799423e-04, 5.64042557e-04],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[2.38611781e-01, 1.61260156e-02, 1.08739574e+01]])
fopt: 0.6418792297189521
fun: -0.6415057222704251
message: 'Optimization terminated successfully.'
nfev: 514
nit: 5
status: 0
success: True
x: array([173.36768618, 2.25945368, 189.33545961])
xopt: array([173., 2., 189.])
zopt: array([173., 175., 364.])
*******************************************
Period: 29
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[5.57338362e-04, 3.31200297e-06, 6.65950618e-06]])
fopt: 0.35551621496801905
fun: -0.3542069189431276
message: 'Optimization terminated successfully.'
nfev: 202
nit: 2
status: 0
success: True
x: array([169.27889715, 2.00000149, 3.01072532])
xopt: array([169., 2., 4.])
zopt: array([169., 171., 175.])
*******************************************
Period: 30
direc: array([[-0.91267734, -0. , -0.0108328 ],
[-0. , 0. , 0. ],
[ 0. , 0. , 0. ]])
fopt: 0.37079746411083575
fun: -0.37096744248997854
message: 'Optimization terminated successfully.'
nfev: 461
nit: 4
status: 0
success: True
x: array([170.0097854 , 2.00000002, 5.02287431])
xopt: array([170., 2., 6.])
zopt: array([170., 172., 178.])
*******************************************
Period: 31
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[69.27765262, 0. , 0.84008903]])
fopt: 0.37477289403765335
fun: -0.3769484421182399
message: 'Optimization terminated successfully.'
nfev: 578
nit: 6
status: 0
success: True
x: array([258.03381761, 1.04485949, 4.01005071])
xopt: array([258., 1., 4.])
zopt: array([258., 259., 263.])
*******************************************
Period: 32
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.38803662687335505
fun: -0.38866485245585053
message: 'Optimization terminated successfully.'
nfev: 310
nit: 3
status: 0
success: True
x: array([260.99999791, 1.14587124, 1.00000306])
xopt: array([260., 1., 2.])
zopt: array([260., 261., 263.])
*******************************************
Period: 33
direc: array([[ 0. , 0. , 1. ],
[ 0. , 1. , 0. ],
[ 0.00208543, -0. , -0. ]])
fopt: 0.3908907163841186
fun: -0.3911508224446412
message: 'Optimization terminated successfully.'
nfev: 366
nit: 3
status: 0
success: True
x: array([259.99999981, 2. , 1. ])
xopt: array([260., 2., 1.])
zopt: array([260., 262., 263.])
*******************************************
Period: 34
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.4055088527078533
fun: -0.4062877920944107
message: 'Optimization terminated successfully.'
nfev: 253
nit: 3
status: 0
success: True
x: array([259.99999963, 2.00218484, 1.00002741])
xopt: array([259., 2., 2.])
zopt: array([259., 261., 263.])
*******************************************
Period: 35
direc: array([[1. , 0. , 0. ],
[0. , 1. , 0. ],
[0.19856712, 1. , 1. ]])
fopt: 0.39398495564156605
fun: -0.39572357805312675
message: 'Optimization terminated successfully.'
nfev: 324
nit: 4
status: 0
success: True
x: array([255.31354457, 4.00112459, 4. ])
xopt: array([255., 4., 4.])
zopt: array([255., 259., 263.])
*******************************************
Period: 36
direc: array([[-30.45285597, 16.04820899, 16.04820899],
[ 0. , 1. , 0. ],
[ 27.6427359 , -12.88997275, 53.13610873]])
fopt: 0.6897125950861521
fun: -0.688551025806882
message: 'Optimization terminated successfully.'
nfev: 693
nit: 9
status: 0
success: True
x: array([115.87205272, 99.00942314, 208.00000002])
xopt: array([115., 99., 209.])
zopt: array([115., 214., 423.])
*******************************************
Period: 37
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[-1.34024078, 0. , 0.94343322]])
fopt: 0.3767113816191799
fun: -0.3774847200047653
message: 'Optimization terminated successfully.'
nfev: 454
nit: 5
status: 0
success: True
x: array([302.16749305, 2.00364895, 4.01425406])
xopt: array([302., 2., 5.])
zopt: array([302., 304., 309.])
*******************************************
Period: 38
direc: array([[ 0. , 0. , 1. ],
[-6.04416609, 0. , 5.27461062],
[ 0.03726763, 9.60916084, 7.43463761]])
fopt: 0.6297562254956073
fun: -0.6294576282969797
message: 'Optimization terminated successfully.'
nfev: 639
nit: 8
status: 0
success: True
x: array([174.9145058 , 39.00063027, 166. ])
xopt: array([174., 40., 166.])
zopt: array([174., 214., 380.])
*******************************************
Period: 39
direc: array([[ -0.72135958, 1. , 1. ],
[-26.11733677, 16.54910912, 11.03273941],
[ 0. , -0. , -0. ]])
fopt: 0.6320173839263936
fun: -0.6310127466905932
message: 'Optimization terminated successfully.'
nfev: 459
nit: 7
status: 0
success: True
x: array([107.75743899, 150.00026394, 112.46339687])
xopt: array([108., 150., 113.])
zopt: array([108., 258., 371.])
*******************************************
Period: 40
direc: array([[-4.15375554e-06, -2.09768731e-06, 1.08775264e-06],
[-2.91236389e+00, 2.00000675e+00, 1.02818646e+00],
[ 0.00000000e+00, 5.00436023e+00, 0.00000000e+00]])
fopt: 0.6131296001827921
fun: -0.6082334801487259
message: 'Optimization terminated successfully.'
nfev: 2131
nit: 22
status: 0
success: True
x: array([ 68.38588515, 140. , 101.11281218])
xopt: array([ 69., 141., 102.])
zopt: array([ 69., 210., 312.])
*******************************************
Period: 41
direc: array([[-1.53539574e+01, 6.98253705e+00, 6.98253705e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.70073369e-09, 1.65171852e-06, -6.59117786e-06]])
fopt: 0.6242184742644666
fun: -0.622026782819013
message: 'Optimization terminated successfully.'
nfev: 432
nit: 7
status: 0
success: True
x: array([ 74.48739314, 128.00001479, 132. ])
xopt: array([ 75., 128., 133.])
zopt: array([ 75., 203., 336.])
*******************************************
Period: 42
direc: array([[ -1.7674947 , 1.01 , 1. ],
[ 0. , 0. , 1. ],
[-236.52080783, 104.55831535, 155.28462675]])
fopt: 0.643479634937448
fun: -0.6437107411904528
message: 'Optimization terminated successfully.'
nfev: 734
nit: 9
status: 0
success: True
x: array([106.99992001, 110.02751395, 167. ])
xopt: array([107., 110., 167.])
zopt: array([107., 217., 384.])
*******************************************
Period: 43
direc: array([[ 2.57618210e-09, -4.49549028e-09, -4.47990633e-09],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[ 7.75521345e-03, -1.16328210e-02, -1.16328210e-02]])
fopt: 0.35470810086023075
fun: -0.35433176825763796
message: 'Optimization terminated successfully.'
nfev: 665
nit: 8
status: 0
success: True
x: array([343.97375548, 13.00354565, 14.00300383])
xopt: array([343., 13., 15.])
zopt: array([343., 356., 371.])
*******************************************
Period: 44
direc: array([[0.00000000e+00, 0.00000000e+00, 1.00000000e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[1.11554953e+02, 1.32646736e-05, 1.29312741e+02]])
fopt: 0.6103984253044559
fun: -0.6102344364466215
message: 'Optimization terminated successfully.'
nfev: 402
nit: 4
status: 0
success: True
x: array([193.66139036, 1.00000027, 208.12924086])
xopt: array([193., 2., 209.])
zopt: array([193., 195., 404.])
*******************************************
Period: 45
direc: array([[ 2.66351277e+02, 9.76925270e-08, 3.26149428e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-2.28942590e+02, 1.50308607e+02, 8.49637363e+01]])
fopt: 0.56731379163607
fun: -0.5666862531393532
message: 'Optimization terminated successfully.'
nfev: 970
nit: 10
status: 0
success: True
x: array([107.99381305, 169.04630299, 100.52331937])
xopt: array([108., 169., 101.])
zopt: array([108., 277., 378.])
*******************************************
Period: 46
direc: array([[ 2.64867319e+02, 9.71657212e-08, 3.24390671e+00],
[-5.08800412e-06, 1.00000000e+00, 9.99999938e-01],
[-1.01760082e-05, 3.00000000e+00, 1.99999988e+00]])
fopt: 0.34897277915072994
fun: -0.34892547767946797
message: 'Optimization terminated successfully.'
nfev: 567
nit: 6
status: 0
success: True
x: array([347.0368921 , 10.00000008, 12.00194597])
xopt: array([347., 11., 13.])
zopt: array([347., 358., 371.])
*******************************************
Period: 47
direc: array([[ 2.61247453e+02, 3.00380316e-06, 3.20526827e+00],
[ 4.14214091e-10, -3.01344978e-08, -2.98280708e-08],
[-3.15975702e-08, 1.02049982e+00, -3.87673039e-10]])
fopt: 0.3469584431140882
fun: -0.3471926077420135
message: 'Optimization terminated successfully.'
nfev: 656
nit: 7
status: 0
success: True
x: array([341.0309309 , 7.0205037 , 7.16186975])
xopt: array([341., 8., 8.])
zopt: array([341., 349., 357.])
*******************************************
Period: 48
direc: array([[262.3312337 , 3.26776728, 3.23541315],
[ 0. , 1. , 0. ],
[ 0. , 3.01 , 2.01 ]])
fopt: 0.35580028026884764
fun: -0.3567930709227751
message: 'Optimization terminated successfully.'
nfev: 549
nit: 7
status: 0
success: True
x: array([343.10112938, 16.01379375, 12.01408094])
xopt: array([343., 16., 12.])
zopt: array([343., 359., 371.])
*******************************************
Period: 49
direc: array([[ 2.55929566e+02, 3.15327559e+00, 3.12205504e+00],
[-0.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[-4.06359134e-04, 9.99994993e-01, -4.95712787e-06]])
fopt: 0.360844433876888
fun: -0.36048831094729256
message: 'Optimization terminated successfully.'
nfev: 962
nit: 13
status: 0
success: True
x: array([338.62176176, 18.00074001, 11.0517706 ])
xopt: array([338., 19., 12.])
zopt: array([338., 357., 369.])
*******************************************
Period: 50
direc: array([[256.68126401, 3.16253718, 3.13122493],
[ 0. , 0.99 , 1. ],
[ 0. , 1. , 0. ]])
fopt: 0.3578423321374905
fun: -0.3577022504184378
message: 'Optimization terminated successfully.'
nfev: 879
nit: 9
status: 0
success: True
x: array([339.72752183, 14.00870875, 8.1581973 ])
xopt: array([339., 14., 9.])
zopt: array([339., 353., 362.])
*******************************************
Period: 51
direc: array([[2.51276390e+02, 3.06529150e+00, 6.15059244e+00],
[0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[6.19853352e-06, 9.68926704e-01, 9.26082053e-01]])
fopt: 0.3567544028522488
fun: -0.35728799027302355
message: 'Optimization terminated successfully.'
nfev: 887
nit: 10
status: 0
success: True
x: array([335.00066187, 14.00380445, 12.04700671])
xopt: array([335., 14., 13.])
zopt: array([335., 349., 362.])
*******************************************
Period: 52
direc: array([[ 2.59789043e+02, 3.69582025e+00, 3.16913636e+00],
[ 0.00000000e+00, 1.00000000e+00, 0.00000000e+00],
[-3.99572855e-08, 3.00990000e+00, 2.00990000e+00]])
fopt: 0.360377208770246
fun: -0.360543466730198
message: 'Optimization terminated successfully.'
nfev: 553
nit: 6
status: 0
success: True
x: array([341.56483581, 18.00605648, 12.08010069])
xopt: array([341., 18., 12.])
zopt: array([341., 359., 371.])
*******************************************
Period: 53
direc: array([[256.59351013, 3.13015443, 6.26030893],
[ 0. , 0.99 , 0.98854344],
[ 0. , 0. , -0. ]])
fopt: 0.3625991529574357
fun: -0.3625540704870992
message: 'Optimization terminated successfully.'
nfev: 560
nit: 6
status: 0
success: True
x: array([335.5499397 , 10.0054027 , 12.13935362])
xopt: array([335., 11., 13.])
zopt: array([335., 346., 359.])
*******************************************
Period: 54
direc: array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
fopt: 0.32918955289019375
fun: -0.3307138537305087
message: 'Optimization terminated successfully.'
nfev: 367
nit: 4
status: 0
success: True
x: array([261.0000121 , 1.01178702, 1.04699014])
xopt: array([261., 1., 1.])
zopt: array([261., 262., 263.])
*******************************************
Period: 55
direc: array([[ 0., 0., 1.],
[ 0., 1., 0.],
[-0., 0., 0.]])
fopt: 0.35121999246842317
fun: -0.3514990992433669
message: 'Optimization terminated successfully.'
nfev: 386
nit: 5
status: 0
success: True
x: array([346.5698502 , 12.00102839, 13. ])
xopt: array([346., 12., 13.])
zopt: array([346., 358., 371.])
*******************************************
Period: 56
direc: array([[ -0.42853524, 1. , 1. ],
[ 0. , 0. , 1. ],
[-17.22477314, 10.00421462, 15.00632193]])
fopt: 0.5871614656482395
fun: -0.5873123788838632
message: 'Optimization terminated successfully.'
nfev: 437
nit: 7
status: 0
success: True
x: array([106.62542208, 118.00296095, 197. ])
xopt: array([107., 118., 197.])
zopt: array([107., 225., 422.])
*******************************************
Period: 57
direc: array([[ 1.00000000e+00, 0.00000000e+00, 0.00000000e+00],
[ 8.01444982e-03, 5.42034642e-03, 5.42034642e-03],
[ 2.24432394e+01, -1.15214456e-02, 5.51446811e+01]])
fopt: 0.5461625633063895
fun: -0.5462937722286095
message: 'Optimization terminated successfully.'
nfev: 800
nit: 11
status: 0
success: True
x: array([204.57359357, 3.00034813, 209.1141175 ])
xopt: array([205., 4., 209.])
zopt: array([205., 209., 418.])
*******************************************
Period: 58
direc: array([[ 1. , 0. , 0. ],
[ 0. , 1. , 0. ],
[ 0.7924767 , -0.73596865, -0.48900581]])
fopt: 0.5249156087561359
fun: -0.5251003380209398
message: 'Optimization terminated successfully.'
nfev: 570
nit: 9
status: 0
success: True
x: array([107.99886182, 162.00081961, 109.19249674])
xopt: array([108., 162., 110.])
zopt: array([108., 270., 380.])
*******************************************
Period: 59
direc: array([[-4.84318981, 1.06731254, 1.97906198],
[ 0. , 0. , 1. ],
[23.19396658, 22.06720492, 30.5870871 ]])
fopt: 0.5553412083157145
fun: -0.5551211807506006
message: 'Optimization terminated successfully.'
nfev: 861
nit: 11
status: 0
success: True
x: array([108.94961132, 99.05654866, 171. ])
xopt: array([109., 100., 171.])
zopt: array([109., 209., 380.])
*******************************************
Period: 1
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp0gqehil4.pyomo.lp
Reading time = 0.00 seconds
x50: 53 rows, 43 columns, 146 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2v3rcx_x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 53 rows, 43 columns and 146 nonzeros
Variable types: 28 continuous, 15 integer (12 binary)
Coefficient statistics:
Matrix range [3e-02, 1e+04]
Objective range [4e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.39124
Presolve removed 53 rows and 43 columns
Presolve time: 0.00s
Presolve: All rows and columns removed
Explored 0 nodes (0 simplex iterations) in 0.00 seconds
Thread count was 1 (of 4 available processors)
Solution count 2: 1.08463 0.39124
Optimal solution found (tolerance 1.00e-02)
Best objective 1.084625924167e+00, best bound 1.084625924167e+00, gap 0.0000%
*******************************************
Period: 2
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7_7rfg5w.pyomo.lp
Reading time = 0.00 seconds
x87: 99 rows, 76 columns, 291 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpg2aiew8d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 99 rows, 76 columns and 291 nonzeros
Variable types: 49 continuous, 27 integer (24 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-02, 4e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.158855
Presolve removed 86 rows and 65 columns
Presolve time: 0.00s
Presolved: 13 rows, 11 columns, 33 nonzeros
Variable types: 4 continuous, 7 integer (4 binary)
Root relaxation: objective 1.822752e+00, 2 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.8227522 1.82275 0.00% - 0s
Explored 0 nodes (2 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.82275 0.158855
Optimal solution found (tolerance 1.00e-02)
Best objective 1.822752246861e+00, best bound 1.822752246861e+00, gap 0.0000%
*******************************************
Period: 3
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9hcjj1t6.pyomo.lp
Reading time = 0.00 seconds
x124: 145 rows, 109 columns, 436 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpfehp_1vj.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 145 rows, 109 columns and 436 nonzeros
Variable types: 70 continuous, 39 integer (36 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 3e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.99041
Presolve removed 117 rows and 85 columns
Presolve time: 0.00s
Presolved: 28 rows, 24 columns, 84 nonzeros
Variable types: 9 continuous, 15 integer (12 binary)
Root relaxation: objective 1.570834e+00, 9 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
* 0 0 0 1.5708340 1.57083 0.00% - 0s
Explored 0 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 1.57083 0.99041
Optimal solution found (tolerance 1.00e-02)
Best objective 1.570833955109e+00, best bound 1.570833955109e+00, gap 0.0000%
*******************************************
Period: 4
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp74knvy0z.pyomo.lp
Reading time = 0.00 seconds
x161: 191 rows, 142 columns, 585 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpghtgl_cg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 191 rows, 142 columns and 585 nonzeros
Variable types: 91 continuous, 51 integer (48 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-02, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.09504
Presolve removed 118 rows and 83 columns
Presolve time: 0.00s
Presolved: 73 rows, 59 columns, 241 nonzeros
Variable types: 27 continuous, 32 integer (27 binary)
Root relaxation: objective 1.618280e+00, 42 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.61828 0 3 1.09504 1.61828 47.8% - 0s
H 0 0 1.2506485 1.61828 29.4% - 0s
H 0 0 1.2574274 1.61828 28.7% - 0s
0 0 cutoff 0 1.25743 1.25743 0.00% - 0s
Cutting planes:
Gomory: 1
Flow cover: 2
Explored 1 nodes (56 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 1.25743 1.25065 1.09504
Optimal solution found (tolerance 1.00e-02)
Best objective 1.257427381118e+00, best bound 1.257427381118e+00, gap 0.0000%
*******************************************
Period: 5
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9qfgtlba.pyomo.lp
Reading time = 0.00 seconds
x198: 237 rows, 175 columns, 734 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp85sbik50.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 237 rows, 175 columns and 734 nonzeros
Variable types: 112 continuous, 63 integer (60 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [4e-04, 2e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 1.00222
Presolve removed 164 rows and 116 columns
Presolve time: 0.01s
Presolved: 73 rows, 59 columns, 246 nonzeros
Variable types: 32 continuous, 27 integer (24 binary)
Root relaxation: objective 1.060821e+00, 36 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 cutoff 0 1.00222 1.00222 0.00% - 0s
Explored 0 nodes (39 simplex iterations) in 0.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 1.00222
Optimal solution found (tolerance 1.00e-02)
Best objective 1.002223397159e+00, best bound 1.002223397159e+00, gap 0.0000%
*******************************************
Period: 6
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1cgv7th5.pyomo.lp
Reading time = 0.00 seconds
x235: 283 rows, 208 columns, 885 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2htg8czl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 283 rows, 208 columns and 885 nonzeros
Variable types: 133 continuous, 75 integer (72 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.829992
Presolve removed 153 rows and 104 columns
Presolve time: 0.00s
Presolved: 130 rows, 104 columns, 446 nonzeros
Variable types: 51 continuous, 53 integer (48 binary)
Root relaxation: objective 1.041545e+00, 80 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04154 0 8 0.82999 1.04154 25.5% - 0s
H 0 0 0.8424562 1.04154 23.6% - 0s
0 0 0.85961 0 1 0.84246 0.85961 2.04% - 0s
H 0 0 0.8491753 0.85961 1.23% - 0s
0 0 cutoff 0 0.84918 0.84918 0.00% - 0s
Cutting planes:
Gomory: 1
MIR: 1
Flow cover: 4
Network: 1
Explored 1 nodes (122 simplex iterations) in 0.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.849175 0.842456 0.829992
Optimal solution found (tolerance 1.00e-02)
Best objective 8.491753465364e-01, best bound 8.491753465364e-01, gap 0.0000%
*******************************************
Period: 7
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzbpb_7yw.pyomo.lp
Reading time = 0.00 seconds
x272: 329 rows, 241 columns, 1036 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl9mvlcty.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 329 rows, 241 columns and 1036 nonzeros
Variable types: 154 continuous, 87 integer (84 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.620781
Presolve removed 155 rows and 104 columns
Presolve time: 0.01s
Presolved: 174 rows, 137 columns, 592 nonzeros
Variable types: 68 continuous, 69 integer (64 binary)
Root relaxation: objective 1.332454e+00, 113 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.33245 0 11 0.62078 1.33245 115% - 0s
0 0 1.18836 0 13 0.62078 1.18836 91.4% - 0s
0 0 1.10572 0 8 0.62078 1.10572 78.1% - 0s
0 0 1.10569 0 10 0.62078 1.10569 78.1% - 0s
0 0 1.10569 0 10 0.62078 1.10569 78.1% - 0s
0 0 1.10569 0 8 0.62078 1.10569 78.1% - 0s
0 2 1.10569 0 8 0.62078 1.10569 78.1% - 0s
H 3 4 0.8858678 1.07872 21.8% 7.0 0s
Cutting planes:
Gomory: 6
Implied bound: 3
Flow cover: 10
Network: 1
Explored 22 nodes (298 simplex iterations) in 0.08 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.885868 0.620781
Optimal solution found (tolerance 1.00e-02)
Best objective 8.858677904507e-01, best bound 8.858677904507e-01, gap 0.0000%
*******************************************
Period: 8
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp57m_sz5z.pyomo.lp
Reading time = 0.00 seconds
x309: 375 rows, 274 columns, 1187 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnixltjdf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 375 rows, 274 columns and 1187 nonzeros
Variable types: 175 continuous, 99 integer (96 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [3e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.716592
Presolve removed 171 rows and 114 columns
Presolve time: 0.01s
Presolved: 204 rows, 160 columns, 701 nonzeros
Variable types: 80 continuous, 80 integer (75 binary)
Root relaxation: objective 1.367279e+00, 146 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.36728 0 13 0.71659 1.36728 90.8% - 0s
H 0 0 0.8044186 1.36728 70.0% - 0s
0 0 1.18452 0 17 0.80442 1.18452 47.3% - 0s
0 0 1.16890 0 10 0.80442 1.16890 45.3% - 0s
0 0 1.16890 0 11 0.80442 1.16890 45.3% - 0s
0 0 1.16879 0 9 0.80442 1.16879 45.3% - 0s
0 0 1.16879 0 9 0.80442 1.16879 45.3% - 0s
0 2 1.16879 0 9 0.80442 1.16879 45.3% - 0s
H 30 8 0.8044186 1.10082 36.8% 6.0 0s
* 47 5 11 0.8434106 0.94448 12.0% 5.7 0s
H 59 0 0.8434106 0.91166 8.09% 5.5 0s
Cutting planes:
Gomory: 5
Implied bound: 5
MIR: 2
Flow cover: 14
Explored 62 nodes (553 simplex iterations) in 0.11 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.843411 0.843411 0.804419 ... 0.716592
Optimal solution found (tolerance 1.00e-02)
Best objective 8.434105690423e-01, best bound 8.434105690423e-01, gap 0.0000%
*******************************************
Period: 9
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu5ib7qm1.pyomo.lp
Reading time = 0.00 seconds
x346: 421 rows, 307 columns, 1338 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpa6opqwr1.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 421 rows, 307 columns and 1338 nonzeros
Variable types: 196 continuous, 111 integer (108 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 1e-02]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.728238
Presolve removed 186 rows and 123 columns
Presolve time: 0.01s
Presolved: 235 rows, 184 columns, 809 nonzeros
Variable types: 93 continuous, 91 integer (86 binary)
Root relaxation: objective 1.266794e+00, 149 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.26679 0 15 0.72824 1.26679 74.0% - 0s
0 0 1.08631 0 10 0.72824 1.08631 49.2% - 0s
0 0 1.07996 0 12 0.72824 1.07996 48.3% - 0s
0 0 1.07703 0 12 0.72824 1.07703 47.9% - 0s
0 0 1.07703 0 12 0.72824 1.07703 47.9% - 0s
0 0 1.07703 0 13 0.72824 1.07703 47.9% - 0s
0 0 1.07703 0 13 0.72824 1.07703 47.9% - 0s
H 0 0 0.7586235 1.07703 42.0% - 0s
0 2 1.07703 0 13 0.75862 1.07703 42.0% - 0s
* 82 9 11 0.7615975 0.97132 27.5% 5.8 0s
Cutting planes:
Gomory: 7
Cover: 2
Implied bound: 5
MIR: 1
Flow cover: 11
Explored 110 nodes (851 simplex iterations) in 0.13 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.761597 0.758624 0.728238
Optimal solution found (tolerance 1.00e-02)
Best objective 7.615974850757e-01, best bound 7.615974850757e-01, gap 0.0000%
*******************************************
Period: 10
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6bygutl4.pyomo.lp
Reading time = 0.00 seconds
x383: 467 rows, 340 columns, 1489 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp775bln8q.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 467 rows, 340 columns and 1489 nonzeros
Variable types: 217 continuous, 123 integer (120 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 9e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.641559
Presolve removed 199 rows and 132 columns
Presolve time: 0.01s
Presolved: 268 rows, 208 columns, 924 nonzeros
Variable types: 106 continuous, 102 integer (97 binary)
Root relaxation: objective 1.187982e+00, 176 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18798 0 17 0.64156 1.18798 85.2% - 0s
0 0 1.01080 0 16 0.64156 1.01080 57.6% - 0s
0 0 1.00996 0 17 0.64156 1.00996 57.4% - 0s
0 0 1.00996 0 17 0.64156 1.00996 57.4% - 0s
0 0 1.00951 0 17 0.64156 1.00951 57.4% - 0s
0 0 1.00951 0 15 0.64156 1.00951 57.4% - 0s
0 2 1.00951 0 15 0.64156 1.00951 57.4% - 0s
* 55 15 15 0.7119054 0.86457 21.4% 8.2 0s
Cutting planes:
Gomory: 9
Cover: 1
Implied bound: 5
MIR: 3
Flow cover: 13
Explored 108 nodes (1061 simplex iterations) in 0.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.711905 0.641559
Optimal solution found (tolerance 1.00e-02)
Best objective 7.119054326114e-01, best bound 7.119054326114e-01, gap 0.0000%
*******************************************
Period: 11
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3jhkp3yz.pyomo.lp
Reading time = 0.00 seconds
x420: 513 rows, 373 columns, 1642 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptq6zv4s4.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 513 rows, 373 columns and 1642 nonzeros
Variable types: 238 continuous, 135 integer (132 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 8e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.609965
Presolve removed 214 rows and 141 columns
Presolve time: 0.01s
Presolved: 299 rows, 232 columns, 1033 nonzeros
Variable types: 119 continuous, 113 integer (108 binary)
Root relaxation: objective 1.203346e+00, 204 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20335 0 20 0.60997 1.20335 97.3% - 0s
0 0 1.04030 0 14 0.60997 1.04030 70.6% - 0s
0 0 1.01652 0 15 0.60997 1.01652 66.7% - 0s
0 0 1.01600 0 16 0.60997 1.01600 66.6% - 0s
0 0 1.01593 0 16 0.60997 1.01593 66.6% - 0s
0 0 1.01593 0 16 0.60997 1.01593 66.6% - 0s
H 0 0 0.6182957 1.01593 64.3% - 0s
0 2 1.01593 0 16 0.61830 1.01593 64.3% - 0s
* 126 28 18 0.7397201 0.94883 28.3% 6.5 0s
Cutting planes:
Gomory: 10
Cover: 3
Implied bound: 6
MIR: 4
Flow cover: 14
Inf proof: 3
Explored 322 nodes (2651 simplex iterations) in 0.22 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.73972 0.618296 0.609965
Optimal solution found (tolerance 1.00e-02)
Best objective 7.397200700603e-01, best bound 7.397200700603e-01, gap 0.0000%
*******************************************
Period: 12
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmph9n2rqre.pyomo.lp
Reading time = 0.00 seconds
x457: 559 rows, 406 columns, 1795 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp2dxyzfog.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 559 rows, 406 columns and 1795 nonzeros
Variable types: 259 continuous, 147 integer (144 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.638438
Presolve removed 228 rows and 150 columns
Presolve time: 0.01s
Presolved: 331 rows, 256 columns, 1146 nonzeros
Variable types: 132 continuous, 124 integer (119 binary)
Root relaxation: objective 1.209730e+00, 210 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.20973 0 21 0.63844 1.20973 89.5% - 0s
0 0 1.02783 0 15 0.63844 1.02783 61.0% - 0s
0 0 1.02479 0 16 0.63844 1.02479 60.5% - 0s
0 0 1.02451 0 16 0.63844 1.02451 60.5% - 0s
0 0 1.02296 0 20 0.63844 1.02296 60.2% - 0s
0 0 1.02233 0 20 0.63844 1.02233 60.1% - 0s
0 0 1.02227 0 20 0.63844 1.02227 60.1% - 0s
0 0 1.02015 0 19 0.63844 1.02015 59.8% - 0s
0 0 1.02009 0 19 0.63844 1.02009 59.8% - 0s
0 0 1.02009 0 17 0.63844 1.02009 59.8% - 0s
0 2 1.02009 0 17 0.63844 1.02009 59.8% - 0s
* 58 18 17 0.7209944 0.97106 34.7% 7.2 0s
* 59 19 18 0.7534126 0.97106 28.9% 7.1 0s
Cutting planes:
Gomory: 12
Cover: 3
Implied bound: 8
MIR: 7
Flow cover: 18
Inf proof: 4
Explored 294 nodes (2420 simplex iterations) in 0.25 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.753413 0.720994 0.638438
Optimal solution found (tolerance 1.00e-02)
Best objective 7.534126356551e-01, best bound 7.534126356551e-01, gap 0.0000%
*******************************************
Period: 13
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpnlcbedj8.pyomo.lp
Reading time = 0.00 seconds
x494: 605 rows, 439 columns, 1948 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpexo5fd3o.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 605 rows, 439 columns and 1948 nonzeros
Variable types: 280 continuous, 159 integer (156 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [2e-04, 7e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.644014
Presolve removed 242 rows and 159 columns
Presolve time: 0.01s
Presolved: 363 rows, 280 columns, 1260 nonzeros
Variable types: 145 continuous, 135 integer (130 binary)
Root relaxation: objective 1.277895e+00, 239 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.27790 0 26 0.64401 1.27790 98.4% - 0s
0 0 1.12091 0 21 0.64401 1.12091 74.1% - 0s
0 0 1.11401 0 23 0.64401 1.11401 73.0% - 0s
0 0 1.11113 0 24 0.64401 1.11113 72.5% - 0s
0 0 1.11096 0 24 0.64401 1.11096 72.5% - 0s
0 0 1.11071 0 24 0.64401 1.11071 72.5% - 0s
0 0 1.11071 0 24 0.64401 1.11071 72.5% - 0s
0 2 1.11071 0 24 0.64401 1.11071 72.5% - 0s
* 786 248 30 0.6596391 0.91427 38.6% 6.3 0s
* 872 268 22 0.6703803 0.90904 35.6% 6.4 0s
* 901 271 24 0.6711525 0.90694 35.1% 6.3 0s
* 918 268 21 0.6755595 0.90694 34.2% 6.3 0s
* 1645 301 22 0.7449408 0.87679 17.7% 6.5 0s
* 1834 193 22 0.7866929 0.85454 8.62% 6.7 0s
* 1950 94 24 0.8076837 0.83166 2.97% 6.8 0s
* 1953 84 24 0.8106361 0.83166 2.59% 6.8 0s
Cutting planes:
Gomory: 11
Cover: 17
Implied bound: 19
MIR: 3
Flow cover: 19
Inf proof: 35
Explored 2062 nodes (14244 simplex iterations) in 0.68 seconds
Thread count was 4 (of 4 available processors)
Solution count 9: 0.810636 0.807684 0.786693 ... 0.644014
Optimal solution found (tolerance 1.00e-02)
Best objective 8.106361466695e-01, best bound 8.106361466695e-01, gap 0.0000%
*******************************************
Period: 14
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp9lrdmgvt.pyomo.lp
Reading time = 0.00 seconds
x531: 651 rows, 472 columns, 2101 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpknoeqcu5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 651 rows, 472 columns and 2101 nonzeros
Variable types: 301 continuous, 171 integer (168 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.746938
Presolve removed 256 rows and 168 columns
Presolve time: 0.01s
Presolved: 395 rows, 304 columns, 1374 nonzeros
Variable types: 158 continuous, 146 integer (141 binary)
Root relaxation: objective 1.186500e+00, 268 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.18650 0 27 0.74694 1.18650 58.8% - 0s
0 0 1.03781 0 22 0.74694 1.03781 38.9% - 0s
0 0 1.03238 0 22 0.74694 1.03238 38.2% - 0s
0 0 1.03052 0 23 0.74694 1.03052 38.0% - 0s
0 0 1.02966 0 23 0.74694 1.02966 37.9% - 0s
0 0 1.02960 0 23 0.74694 1.02960 37.8% - 0s
0 0 1.02900 0 23 0.74694 1.02900 37.8% - 0s
0 0 1.02857 0 23 0.74694 1.02857 37.7% - 0s
0 0 1.02857 0 23 0.74694 1.02857 37.7% - 0s
0 2 1.02857 0 22 0.74694 1.02857 37.7% - 0s
* 645 26 26 0.7476854 0.85681 14.6% 5.9 0s
Cutting planes:
Gomory: 9
Cover: 6
Implied bound: 15
MIR: 6
Flow cover: 16
Inf proof: 17
Network: 1
Explored 799 nodes (5272 simplex iterations) in 0.39 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.747685 0.746938
Optimal solution found (tolerance 1.00e-02)
Best objective 7.476853955884e-01, best bound 7.476853955884e-01, gap 0.0000%
*******************************************
Period: 15
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp7zrvxr0z.pyomo.lp
Reading time = 0.00 seconds
x568: 697 rows, 505 columns, 2254 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp4efzx2zo.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 697 rows, 505 columns and 2254 nonzeros
Variable types: 322 continuous, 183 integer (180 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.671725
Presolve removed 270 rows and 177 columns
Presolve time: 0.01s
Presolved: 427 rows, 328 columns, 1488 nonzeros
Variable types: 171 continuous, 157 integer (152 binary)
Root relaxation: objective 1.197624e+00, 282 iterations, 0.00 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19762 0 31 0.67172 1.19762 78.3% - 0s
0 0 1.03740 0 25 0.67172 1.03740 54.4% - 0s
0 0 1.03606 0 26 0.67172 1.03606 54.2% - 0s
0 0 1.03393 0 35 0.67172 1.03393 53.9% - 0s
0 0 1.02886 0 29 0.67172 1.02886 53.2% - 0s
0 0 1.02876 0 29 0.67172 1.02876 53.2% - 0s
0 0 1.02766 0 32 0.67172 1.02766 53.0% - 0s
0 0 1.02717 0 33 0.67172 1.02717 52.9% - 0s
0 0 1.02650 0 34 0.67172 1.02650 52.8% - 0s
0 0 1.02642 0 34 0.67172 1.02642 52.8% - 0s
0 0 1.02642 0 28 0.67172 1.02642 52.8% - 0s
0 2 1.02642 0 28 0.67172 1.02642 52.8% - 0s
* 643 220 40 0.6982682 0.94106 34.8% 6.2 0s
* 1834 489 32 0.7122153 0.90386 26.9% 7.1 0s
* 2069 483 37 0.7274709 0.88927 22.2% 7.3 0s
* 2910 229 32 0.7693258 0.83567 8.62% 8.1 1s
* 3008 187 32 0.7718845 0.82831 7.31% 8.1 1s
Cutting planes:
Gomory: 15
Cover: 28
Implied bound: 32
MIR: 8
Flow cover: 36
Inf proof: 47
Explored 3236 nodes (27073 simplex iterations) in 1.35 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.771885 0.769326 0.727471 ... 0.671725
Optimal solution found (tolerance 1.00e-02)
Best objective 7.718845294773e-01, best bound 7.780483991913e-01, gap 0.7985%
*******************************************
Period: 16
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5n95og20.pyomo.lp
Reading time = 0.01 seconds
x605: 743 rows, 538 columns, 2407 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoxe1n32_.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 743 rows, 538 columns and 2407 nonzeros
Variable types: 343 continuous, 195 integer (192 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 6e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.692936
Presolve removed 284 rows and 186 columns
Presolve time: 0.01s
Presolved: 459 rows, 352 columns, 1602 nonzeros
Variable types: 184 continuous, 168 integer (163 binary)
Root relaxation: objective 1.218460e+00, 305 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.21846 0 34 0.69294 1.21846 75.8% - 0s
0 0 1.06709 0 31 0.69294 1.06709 54.0% - 0s
0 0 1.06233 0 31 0.69294 1.06233 53.3% - 0s
0 0 1.06115 0 34 0.69294 1.06115 53.1% - 0s
0 0 1.06056 0 36 0.69294 1.06056 53.1% - 0s
0 0 1.06009 0 37 0.69294 1.06009 53.0% - 0s
0 0 1.06009 0 32 0.69294 1.06009 53.0% - 0s
0 2 1.05501 0 24 0.69294 1.05501 52.3% - 0s
H 1554 457 0.7737810 0.94843 22.6% 7.8 0s
* 1757 440 45 0.7781289 0.94843 21.9% 8.4 1s
* 1960 395 43 0.7794818 0.94843 21.7% 8.4 1s
* 2232 285 38 0.7842683 0.91286 16.4% 8.4 1s
Cutting planes:
Gomory: 25
Cover: 8
Implied bound: 6
Projected implied bound: 21
MIR: 4
Flow cover: 21
Inf proof: 14
Explored 2633 nodes (22417 simplex iterations) in 1.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 5: 0.784268 0.779482 0.778129 ... 0.692936
Optimal solution found (tolerance 1.00e-02)
Best objective 7.842682840208e-01, best bound 7.885909532063e-01, gap 0.5512%
*******************************************
Period: 17
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpjk6ki03s.pyomo.lp
Reading time = 0.01 seconds
x642: 789 rows, 571 columns, 2560 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvloixksf.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 789 rows, 571 columns and 2560 nonzeros
Variable types: 364 continuous, 207 integer (204 binary)
Coefficient statistics:
Matrix range [2e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.697421
Presolve removed 298 rows and 195 columns
Presolve time: 0.01s
Presolved: 491 rows, 376 columns, 1716 nonzeros
Variable types: 197 continuous, 179 integer (174 binary)
Root relaxation: objective 1.238782e+00, 338 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23878 0 37 0.69742 1.23878 77.6% - 0s
0 0 1.09607 0 31 0.69742 1.09607 57.2% - 0s
0 0 1.08983 0 38 0.69742 1.08983 56.3% - 0s
0 0 1.08982 0 36 0.69742 1.08982 56.3% - 0s
0 0 1.08977 0 36 0.69742 1.08977 56.3% - 0s
0 0 1.08973 0 36 0.69742 1.08973 56.3% - 0s
0 0 1.08971 0 36 0.69742 1.08971 56.2% - 0s
0 0 1.08971 0 34 0.69742 1.08971 56.2% - 0s
0 2 1.08971 0 30 0.69742 1.08971 56.2% - 0s
* 1795 580 48 0.7746663 0.98836 27.6% 9.4 1s
* 2676 393 38 0.7839697 0.96916 23.6% 10.8 2s
* 3456 178 44 0.7911502 0.87477 10.6% 11.0 2s
Cutting planes:
Gomory: 40
Cover: 8
Implied bound: 12
Projected implied bound: 25
Clique: 1
MIR: 1
Flow cover: 33
Inf proof: 42
Explored 4215 nodes (45466 simplex iterations) in 3.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.79115 0.78397 0.774666 0.697421
Optimal solution found (tolerance 1.00e-02)
Best objective 7.911502131552e-01, best bound 7.966909222454e-01, gap 0.7003%
*******************************************
Period: 18
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpw1i8xakx.pyomo.lp
Reading time = 0.01 seconds
x679: 835 rows, 604 columns, 2713 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpqwv1vj2x.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 835 rows, 604 columns and 2713 nonzeros
Variable types: 385 continuous, 219 integer (216 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.702795
Presolve removed 312 rows and 204 columns
Presolve time: 0.01s
Presolved: 523 rows, 400 columns, 1830 nonzeros
Variable types: 210 continuous, 190 integer (185 binary)
Root relaxation: objective 1.259363e+00, 372 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.25936 0 42 0.70279 1.25936 79.2% - 0s
0 0 1.12110 0 41 0.70279 1.12110 59.5% - 0s
0 0 1.11689 0 41 0.70279 1.11689 58.9% - 0s
0 0 1.10445 0 47 0.70279 1.10445 57.2% - 0s
0 0 1.10424 0 42 0.70279 1.10424 57.1% - 0s
0 0 1.10420 0 42 0.70279 1.10420 57.1% - 0s
0 0 1.10420 0 38 0.70279 1.10420 57.1% - 0s
0 2 1.10420 0 36 0.70279 1.10420 57.1% - 0s
* 1139 405 63 0.7218023 0.95580 32.4% 9.3 1s
* 2233 115 55 0.7887698 0.83198 5.48% 9.3 1s
Cutting planes:
Gomory: 45
Implied bound: 9
Projected implied bound: 21
MIR: 2
Flow cover: 18
Inf proof: 20
Explored 2808 nodes (25230 simplex iterations) in 2.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.78877 0.721802 0.702795
Optimal solution found (tolerance 1.00e-02)
Best objective 7.887697615508e-01, best bound 7.887697615508e-01, gap 0.0000%
*******************************************
Period: 19
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6zeyuu3q.pyomo.lp
Reading time = 0.01 seconds
x716: 881 rows, 637 columns, 2866 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoz5f8e2u.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 881 rows, 637 columns and 2866 nonzeros
Variable types: 406 continuous, 231 integer (228 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 5e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.719369
Presolve removed 326 rows and 213 columns
Presolve time: 0.01s
Presolved: 555 rows, 424 columns, 1944 nonzeros
Variable types: 223 continuous, 201 integer (196 binary)
Root relaxation: objective 1.234237e+00, 400 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.23424 0 46 0.71937 1.23424 71.6% - 0s
0 0 1.08853 0 41 0.71937 1.08853 51.3% - 0s
0 0 1.08453 0 41 0.71937 1.08453 50.8% - 0s
0 0 1.08312 0 50 0.71937 1.08312 50.6% - 0s
0 0 1.08305 0 50 0.71937 1.08305 50.6% - 0s
0 0 1.08242 0 51 0.71937 1.08242 50.5% - 0s
0 0 1.08242 0 49 0.71937 1.08242 50.5% - 0s
0 2 1.08242 0 49 0.71937 1.08242 50.5% - 0s
H 820 405 0.7603927 0.91508 20.3% 7.9 0s
Cutting planes:
Gomory: 47
Cover: 2
Implied bound: 13
Projected implied bound: 25
MIR: 5
Flow cover: 39
Inf proof: 22
Explored 2884 nodes (32810 simplex iterations) in 2.80 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.760393 0.719369
Optimal solution found (tolerance 1.00e-02)
Best objective 7.603926859919e-01, best bound 7.603926859919e-01, gap 0.0000%
*******************************************
Period: 20
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpvitz8yxg.pyomo.lp
Reading time = 0.01 seconds
x753: 927 rows, 670 columns, 3019 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpr21spaem.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 927 rows, 670 columns and 3019 nonzeros
Variable types: 427 continuous, 243 integer (240 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.709346
Presolve removed 340 rows and 222 columns
Presolve time: 0.01s
Presolved: 587 rows, 448 columns, 2058 nonzeros
Variable types: 236 continuous, 212 integer (207 binary)
Root relaxation: objective 1.190183e+00, 437 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19018 0 49 0.70935 1.19018 67.8% - 0s
0 0 1.03891 0 44 0.70935 1.03891 46.5% - 0s
0 0 1.03795 0 46 0.70935 1.03795 46.3% - 0s
0 0 1.03718 0 59 0.70935 1.03718 46.2% - 0s
0 0 1.03697 0 51 0.70935 1.03697 46.2% - 0s
0 0 1.03455 0 53 0.70935 1.03455 45.8% - 0s
0 0 1.03455 0 53 0.70935 1.03455 45.8% - 0s
0 0 1.03372 0 52 0.70935 1.03372 45.7% - 0s
0 0 1.03372 0 42 0.70935 1.03372 45.7% - 0s
0 2 1.03372 0 42 0.70935 1.03372 45.7% - 0s
H 803 421 0.7231084 0.87661 21.2% 8.3 0s
4112 177 cutoff 22 0.72311 0.79443 9.86% 19.6 5s
Cutting planes:
Gomory: 57
Cover: 6
Implied bound: 18
Projected implied bound: 26
Clique: 1
MIR: 7
Flow cover: 43
Inf proof: 55
Explored 4900 nodes (89173 simplex iterations) in 5.50 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.723108 0.709346
Optimal solution found (tolerance 1.00e-02)
Best objective 7.231084276492e-01, best bound 7.294665587892e-01, gap 0.8793%
*******************************************
Period: 21
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf4whjy1l.pyomo.lp
Reading time = 0.01 seconds
x790: 973 rows, 703 columns, 3172 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp7bxnh4fn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 973 rows, 703 columns and 3172 nonzeros
Variable types: 448 continuous, 255 integer (252 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [1e-04, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.654219
Presolve removed 354 rows and 231 columns
Presolve time: 0.01s
Presolved: 619 rows, 472 columns, 2172 nonzeros
Variable types: 249 continuous, 223 integer (218 binary)
Root relaxation: objective 1.190372e+00, 505 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.19037 0 58 0.65422 1.19037 82.0% - 0s
0 0 1.02337 0 53 0.65422 1.02337 56.4% - 0s
0 0 1.02126 0 50 0.65422 1.02126 56.1% - 0s
0 0 1.02088 0 51 0.65422 1.02088 56.0% - 0s
0 0 1.02086 0 51 0.65422 1.02086 56.0% - 0s
0 0 1.01881 0 51 0.65422 1.01881 55.7% - 0s
0 0 1.01876 0 55 0.65422 1.01876 55.7% - 0s
0 0 1.01791 0 57 0.65422 1.01791 55.6% - 0s
0 0 1.01791 0 52 0.65422 1.01791 55.6% - 0s
0 2 1.01791 0 52 0.65422 1.01791 55.6% - 0s
* 1229 567 85 0.6897740 0.91448 32.6% 11.7 2s
* 4004 874 80 0.6937916 0.79495 14.6% 12.2 4s
H 4276 905 0.6971963 0.78845 13.1% 12.2 4s
4980 1095 0.71556 37 34 0.69720 0.77574 11.3% 12.0 5s
H 6041 1186 0.7027421 0.76846 9.35% 11.7 5s
H 7090 1033 0.7147952 0.76093 6.45% 11.8 6s
Cutting planes:
Gomory: 48
Cover: 4
Implied bound: 18
Projected implied bound: 42
MIR: 9
Flow cover: 53
Inf proof: 67
Network: 1
Explored 9879 nodes (122487 simplex iterations) in 8.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.714795 0.702742 0.697196 ... 0.654219
Optimal solution found (tolerance 1.00e-02)
Best objective 7.147951738716e-01, best bound 7.204332428753e-01, gap 0.7888%
*******************************************
Period: 22
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp5oit_q7i.pyomo.lp
Reading time = 0.01 seconds
x827: 1019 rows, 736 columns, 3325 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpryn29ogx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1019 rows, 736 columns and 3325 nonzeros
Variable types: 469 continuous, 267 integer (264 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.701963
Presolve removed 368 rows and 240 columns
Presolve time: 0.01s
Presolved: 651 rows, 496 columns, 2286 nonzeros
Variable types: 262 continuous, 234 integer (229 binary)
Root relaxation: objective 1.162064e+00, 475 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.16206 0 60 0.70196 1.16206 65.5% - 0s
0 0 1.00729 0 59 0.70196 1.00729 43.5% - 0s
0 0 1.00474 0 57 0.70196 1.00474 43.1% - 0s
0 0 1.00399 0 58 0.70196 1.00399 43.0% - 0s
0 0 1.00392 0 60 0.70196 1.00392 43.0% - 0s
0 0 1.00108 0 63 0.70196 1.00108 42.6% - 0s
0 0 1.00100 0 63 0.70196 1.00100 42.6% - 0s
0 0 1.00040 0 64 0.70196 1.00040 42.5% - 0s
0 0 1.00040 0 56 0.70196 1.00040 42.5% - 0s
0 2 1.00040 0 56 0.70196 1.00040 42.5% - 0s
H 759 454 0.7051877 0.88720 25.8% 10.4 0s
Cutting planes:
Gomory: 58
Cover: 2
Implied bound: 10
Projected implied bound: 19
MIR: 7
Flow cover: 35
Inf proof: 23
Explored 6507 nodes (62068 simplex iterations) in 4.87 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.705188 0.701963
Optimal solution found (tolerance 1.00e-02)
Best objective 7.051877011439e-01, best bound 7.115609602618e-01, gap 0.9038%
*******************************************
Period: 23
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmprc8nr1ji.pyomo.lp
Reading time = 0.01 seconds
x864: 1065 rows, 769 columns, 3478 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpoxn7qf3j.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1065 rows, 769 columns and 3478 nonzeros
Variable types: 490 continuous, 279 integer (276 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [9e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.703036
Presolve removed 382 rows and 249 columns
Presolve time: 0.01s
Presolved: 683 rows, 520 columns, 2400 nonzeros
Variable types: 275 continuous, 245 integer (240 binary)
Root relaxation: objective 1.133905e+00, 533 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13390 0 60 0.70304 1.13390 61.3% - 0s
0 0 0.99384 0 57 0.70304 0.99384 41.4% - 0s
0 0 0.99149 0 57 0.70304 0.99149 41.0% - 0s
0 0 0.98839 0 65 0.70304 0.98839 40.6% - 0s
0 0 0.98832 0 63 0.70304 0.98832 40.6% - 0s
0 0 0.98590 0 69 0.70304 0.98590 40.2% - 0s
0 0 0.98590 0 68 0.70304 0.98590 40.2% - 0s
0 0 0.98433 0 73 0.70304 0.98433 40.0% - 0s
0 0 0.98433 0 73 0.70304 0.98433 40.0% - 0s
0 0 0.98411 0 73 0.70304 0.98411 40.0% - 0s
0 0 0.98411 0 68 0.70304 0.98411 40.0% - 0s
0 2 0.98411 0 68 0.70304 0.98411 40.0% - 0s
4898 323 cutoff 21 0.70304 0.72885 3.67% 13.3 5s
Cutting planes:
Gomory: 55
Cover: 6
Implied bound: 17
Projected implied bound: 31
MIR: 7
Flow cover: 42
Inf proof: 49
Explored 7172 nodes (84494 simplex iterations) in 6.29 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.703036
Optimal solution found (tolerance 1.00e-02)
Best objective 7.030363363550e-01, best bound 7.070368253378e-01, gap 0.5690%
*******************************************
Period: 24
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyu29mu27.pyomo.lp
Reading time = 0.00 seconds
x901: 1111 rows, 802 columns, 3631 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0k9ouzlc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1111 rows, 802 columns and 3631 nonzeros
Variable types: 511 continuous, 291 integer (288 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.709162
Presolve removed 396 rows and 258 columns
Presolve time: 0.01s
Presolved: 715 rows, 544 columns, 2514 nonzeros
Variable types: 288 continuous, 256 integer (251 binary)
Root relaxation: objective 1.125713e+00, 529 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.12571 0 63 0.70916 1.12571 58.7% - 0s
0 0 0.99498 0 57 0.70916 0.99498 40.3% - 0s
0 0 0.99225 0 55 0.70916 0.99225 39.9% - 0s
0 0 0.98916 0 62 0.70916 0.98916 39.5% - 0s
0 0 0.98905 0 62 0.70916 0.98905 39.5% - 0s
0 0 0.98701 0 70 0.70916 0.98701 39.2% - 0s
0 0 0.98700 0 69 0.70916 0.98700 39.2% - 0s
0 0 0.98593 0 71 0.70916 0.98593 39.0% - 0s
0 0 0.98587 0 71 0.70916 0.98587 39.0% - 0s
0 0 0.98587 0 71 0.70916 0.98587 39.0% - 0s
0 0 0.98587 0 65 0.70916 0.98587 39.0% - 0s
0 2 0.98587 0 64 0.70916 0.98587 39.0% - 0s
5293 416 0.71100 77 12 0.70916 0.72449 2.16% 11.2 5s
Cutting planes:
Gomory: 55
Cover: 4
Implied bound: 6
Projected implied bound: 25
MIR: 14
Flow cover: 45
Inf proof: 41
Explored 6363 nodes (69186 simplex iterations) in 5.60 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.709162
Optimal solution found (tolerance 1.00e-02)
Best objective 7.091622103391e-01, best bound 7.154886514823e-01, gap 0.8921%
*******************************************
Period: 25
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppfencwtj.pyomo.lp
Reading time = 0.01 seconds
x938: 1157 rows, 835 columns, 3784 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpl41y390d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1157 rows, 835 columns and 3784 nonzeros
Variable types: 532 continuous, 303 integer (300 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 4e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714842
Presolve removed 410 rows and 267 columns
Presolve time: 0.02s
Presolved: 747 rows, 568 columns, 2628 nonzeros
Variable types: 301 continuous, 267 integer (262 binary)
Root relaxation: objective 1.133397e+00, 571 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.13340 0 68 0.71484 1.13340 58.6% - 0s
0 0 0.99984 0 65 0.71484 0.99984 39.9% - 0s
0 0 0.99715 0 63 0.71484 0.99715 39.5% - 0s
0 0 0.99487 0 71 0.71484 0.99487 39.2% - 0s
0 0 0.99486 0 71 0.71484 0.99486 39.2% - 0s
0 0 0.97428 0 76 0.71484 0.97428 36.3% - 0s
0 0 0.97366 0 75 0.71484 0.97366 36.2% - 0s
0 0 0.97357 0 80 0.71484 0.97357 36.2% - 0s
0 0 0.97357 0 72 0.71484 0.97357 36.2% - 0s
0 2 0.97357 0 69 0.71484 0.97357 36.2% - 0s
* 1356 520 105 0.7160563 0.88786 24.0% 14.8 2s
4204 762 0.73828 41 50 0.71606 0.78378 9.46% 14.3 5s
H 4235 751 0.7171103 0.78353 9.26% 14.2 5s
Cutting planes:
Learned: 1
Gomory: 59
Cover: 7
Implied bound: 20
Projected implied bound: 46
MIR: 10
Flow cover: 53
Inf proof: 59
Explored 9426 nodes (112761 simplex iterations) in 8.99 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.71711 0.716056 0.714842
Optimal solution found (tolerance 1.00e-02)
Best objective 7.171102533866e-01, best bound 7.234025798120e-01, gap 0.8775%
*******************************************
Period: 26
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp741_zhrp.pyomo.lp
Reading time = 0.01 seconds
x975: 1203 rows, 868 columns, 3937 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpbh8r336r.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1203 rows, 868 columns and 3937 nonzeros
Variable types: 553 continuous, 315 integer (312 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.730375
Presolve removed 424 rows and 276 columns
Presolve time: 0.02s
Presolved: 779 rows, 592 columns, 2742 nonzeros
Variable types: 314 continuous, 278 integer (273 binary)
Root relaxation: objective 1.146625e+00, 595 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.14662 0 73 0.73037 1.14662 57.0% - 0s
0 0 1.00605 0 63 0.73037 1.00605 37.7% - 0s
0 0 1.00605 0 63 0.73037 1.00605 37.7% - 0s
0 0 1.00022 0 73 0.73037 1.00022 36.9% - 0s
0 0 0.99893 0 78 0.73037 0.99893 36.8% - 0s
0 0 0.99720 0 79 0.73037 0.99720 36.5% - 0s
0 0 0.99720 0 79 0.73037 0.99720 36.5% - 0s
0 0 0.99715 0 80 0.73037 0.99715 36.5% - 0s
0 0 0.99715 0 64 0.73037 0.99715 36.5% - 0s
0 2 0.99715 0 63 0.73037 0.99715 36.5% - 0s
3071 560 0.77959 41 68 0.73037 0.82560 13.0% 18.9 5s
7813 475 0.74215 69 42 0.73037 0.75448 3.30% 17.8 10s
* 9651 408 92 0.7318162 0.74411 1.68% 16.5 11s
Cutting planes:
Gomory: 66
Cover: 6
Implied bound: 17
Projected implied bound: 34
MIR: 6
Flow cover: 59
Inf proof: 75
Explored 10407 nodes (168719 simplex iterations) in 12.09 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.731816 0.730375
Optimal solution found (tolerance 1.00e-02)
Best objective 7.318162155504e-01, best bound 7.360386080124e-01, gap 0.5770%
*******************************************
Period: 27
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp05rti8ke.pyomo.lp
Reading time = 0.01 seconds
x1012: 1249 rows, 901 columns, 4090 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpycvkoqtn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1249 rows, 901 columns and 4090 nonzeros
Variable types: 574 continuous, 327 integer (324 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [8e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.709786
Presolve removed 438 rows and 285 columns
Presolve time: 0.02s
Presolved: 811 rows, 616 columns, 2856 nonzeros
Variable types: 327 continuous, 289 integer (284 binary)
Root relaxation: objective 1.103513e+00, 615 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10351 0 77 0.70979 1.10351 55.5% - 0s
0 0 0.99133 0 70 0.70979 0.99133 39.7% - 0s
0 0 0.98919 0 68 0.70979 0.98919 39.4% - 0s
0 0 0.98201 0 76 0.70979 0.98201 38.4% - 0s
0 0 0.98125 0 77 0.70979 0.98125 38.2% - 0s
0 0 0.97870 0 87 0.70979 0.97870 37.9% - 0s
0 0 0.97867 0 87 0.70979 0.97867 37.9% - 0s
0 0 0.97822 0 84 0.70979 0.97822 37.8% - 0s
0 0 0.97822 0 69 0.70979 0.97822 37.8% - 0s
0 2 0.97822 0 68 0.70979 0.97822 37.8% - 0s
3734 538 0.71057 35 57 0.70979 0.75047 5.73% 13.5 5s
Cutting planes:
Gomory: 61
Cover: 4
Implied bound: 9
Projected implied bound: 19
MIR: 6
Flow cover: 47
Inf proof: 54
Explored 6812 nodes (88022 simplex iterations) in 7.28 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.709786
Optimal solution found (tolerance 1.00e-02)
Best objective 7.097860167922e-01, best bound 7.152951707678e-01, gap 0.7762%
*******************************************
Period: 28
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmr1xnx49.pyomo.lp
Reading time = 0.01 seconds
x1049: 1295 rows, 934 columns, 4243 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpnm8vtf7t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1295 rows, 934 columns and 4243 nonzeros
Variable types: 595 continuous, 339 integer (336 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.71622
Presolve removed 452 rows and 294 columns
Presolve time: 0.02s
Presolved: 843 rows, 640 columns, 2970 nonzeros
Variable types: 340 continuous, 300 integer (295 binary)
Root relaxation: objective 1.109268e+00, 681 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10927 0 79 0.71622 1.10927 54.9% - 0s
0 0 1.04775 0 76 0.71622 1.04775 46.3% - 0s
0 0 1.04589 0 72 0.71622 1.04589 46.0% - 0s
0 0 1.03709 0 76 0.71622 1.03709 44.8% - 0s
0 0 1.03630 0 82 0.71622 1.03630 44.7% - 0s
0 0 1.03577 0 80 0.71622 1.03577 44.6% - 0s
0 0 1.03463 0 89 0.71622 1.03463 44.5% - 0s
0 0 1.03462 0 90 0.71622 1.03462 44.5% - 0s
0 0 1.03442 0 90 0.71622 1.03442 44.4% - 0s
0 0 1.03441 0 90 0.71622 1.03441 44.4% - 0s
0 0 1.03439 0 90 0.71622 1.03439 44.4% - 0s
0 0 1.03439 0 83 0.71622 1.03439 44.4% - 0s
0 2 1.03439 0 83 0.71622 1.03439 44.4% - 0s
2820 602 0.78724 29 61 0.71622 0.83432 16.5% 20.4 5s
7569 1270 0.72382 32 62 0.71622 0.77210 7.80% 16.3 10s
12975 1189 0.73321 60 42 0.71622 0.73805 3.05% 15.7 15s
Cutting planes:
Gomory: 55
Cover: 3
Implied bound: 23
Projected implied bound: 33
MIR: 10
Flow cover: 54
Inf proof: 109
Explored 17857 nodes (272553 simplex iterations) in 19.62 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.71622
Optimal solution found (tolerance 1.00e-02)
Best objective 7.162198390255e-01, best bound 7.223840375187e-01, gap 0.8607%
*******************************************
Period: 29
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwamurz8g.pyomo.lp
Reading time = 0.01 seconds
x1086: 1341 rows, 967 columns, 4396 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvkpj16sv.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1341 rows, 967 columns and 4396 nonzeros
Variable types: 616 continuous, 351 integer (348 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.713395
Presolve removed 466 rows and 303 columns
Presolve time: 0.02s
Presolved: 875 rows, 664 columns, 3084 nonzeros
Variable types: 353 continuous, 311 integer (306 binary)
Root relaxation: objective 1.109281e+00, 636 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.10928 0 80 0.71339 1.10928 55.5% - 0s
0 0 1.00902 0 77 0.71339 1.00902 41.4% - 0s
0 0 1.00754 0 75 0.71339 1.00754 41.2% - 0s
0 0 0.99627 0 85 0.71339 0.99627 39.7% - 0s
0 0 0.99607 0 84 0.71339 0.99607 39.6% - 0s
0 0 0.99415 0 86 0.71339 0.99415 39.4% - 0s
0 0 0.99412 0 86 0.71339 0.99412 39.4% - 0s
0 0 0.99389 0 90 0.71339 0.99389 39.3% - 0s
0 0 0.99389 0 74 0.71339 0.99389 39.3% - 0s
0 2 0.99389 0 73 0.71339 0.99389 39.3% - 0s
3954 1087 0.79557 29 75 0.71339 0.80220 12.4% 13.8 5s
8384 1596 cutoff 52 0.71339 0.77331 8.40% 14.8 10s
12023 2027 infeasible 54 0.71339 0.75827 6.29% 14.7 15s
17528 2972 0.71660 67 30 0.71339 0.74774 4.81% 14.0 20s
21151 3224 cutoff 53 0.71339 0.74261 4.10% 13.9 30s
25829 2999 0.71712 73 46 0.71339 0.73746 3.37% 14.4 35s
*26730 2863 93 0.7146576 0.73601 2.99% 14.5 35s
*26915 2741 102 0.7153003 0.73598 2.89% 14.5 36s
*26917 2481 101 0.7177900 0.73598 2.53% 14.5 36s
*27795 2055 95 0.7193533 0.73388 2.02% 14.6 37s
29800 1195 cutoff 85 0.71935 0.72801 1.20% 14.8 40s
*30004 1114 92 0.7199181 0.72748 1.05% 14.8 40s
Cutting planes:
Gomory: 75
Cover: 3
Implied bound: 26
Projected implied bound: 31
MIR: 10
Flow cover: 72
Inf proof: 179
Explored 30189 nodes (447978 simplex iterations) in 40.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.719918 0.719353 0.71779 ... 0.713395
Optimal solution found (tolerance 1.00e-02)
Best objective 7.199180580694e-01, best bound 7.270176185750e-01, gap 0.9862%
*******************************************
Period: 30
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf9v8o29i.pyomo.lp
Reading time = 0.01 seconds
x1123: 1387 rows, 1000 columns, 4549 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp461d12wk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1387 rows, 1000 columns and 4549 nonzeros
Variable types: 637 continuous, 363 integer (360 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.714709
Presolve removed 480 rows and 312 columns
Presolve time: 0.02s
Presolved: 907 rows, 688 columns, 3198 nonzeros
Variable types: 366 continuous, 322 integer (317 binary)
Root relaxation: objective 1.098458e+00, 707 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09846 0 79 0.71471 1.09846 53.7% - 0s
0 0 0.98982 0 79 0.71471 0.98982 38.5% - 0s
0 0 0.98839 0 77 0.71471 0.98839 38.3% - 0s
0 0 0.98118 0 83 0.71471 0.98118 37.3% - 0s
0 0 0.98092 0 82 0.71471 0.98092 37.2% - 0s
0 0 0.98016 0 86 0.71471 0.98016 37.1% - 0s
0 0 0.98001 0 88 0.71471 0.98001 37.1% - 0s
0 0 0.97971 0 91 0.71471 0.97971 37.1% - 0s
0 0 0.97971 0 74 0.71471 0.97971 37.1% - 0s
0 2 0.97971 0 72 0.71471 0.97971 37.1% - 0s
3176 607 0.71481 50 49 0.71471 0.78826 10.3% 17.7 5s
8004 974 0.71879 47 59 0.71471 0.75556 5.72% 16.8 10s
13862 1290 cutoff 49 0.71471 0.73642 3.04% 15.7 15s
Cutting planes:
Gomory: 64
Cover: 4
Implied bound: 19
Projected implied bound: 30
MIR: 9
Flow cover: 46
Inf proof: 147
Explored 17446 nodes (272931 simplex iterations) in 18.78 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.714709
Optimal solution found (tolerance 1.00e-02)
Best objective 7.147085607680e-01, best bound 7.217948721881e-01, gap 0.9915%
*******************************************
Period: 31
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp554ct91f.pyomo.lp
Reading time = 0.01 seconds
x1160: 1433 rows, 1033 columns, 4702 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpu63mb44d.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1433 rows, 1033 columns and 4702 nonzeros
Variable types: 658 continuous, 375 integer (372 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [7e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.715179
Presolve removed 494 rows and 321 columns
Presolve time: 0.02s
Presolved: 939 rows, 712 columns, 3312 nonzeros
Variable types: 379 continuous, 333 integer (328 binary)
Root relaxation: objective 1.093639e+00, 696 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.09364 0 83 0.71518 1.09364 52.9% - 0s
0 0 0.98466 0 78 0.71518 0.98466 37.7% - 0s
0 0 0.98418 0 72 0.71518 0.98418 37.6% - 0s
0 0 0.97915 0 86 0.71518 0.97915 36.9% - 0s
0 0 0.97833 0 83 0.71518 0.97833 36.8% - 0s
0 0 0.97681 0 88 0.71518 0.97681 36.6% - 0s
0 0 0.97681 0 89 0.71518 0.97681 36.6% - 0s
0 0 0.97613 0 88 0.71518 0.97613 36.5% - 0s
0 0 0.97613 0 76 0.71518 0.97613 36.5% - 0s
0 2 0.97613 0 76 0.71518 0.97613 36.5% - 0s
2384 487 0.80349 23 85 0.71518 0.84243 17.8% 21.9 5s
H 6494 940 0.7151794 0.76550 7.04% 18.5 9s
6495 909 0.72343 59 50 0.71518 0.76529 7.01% 18.5 10s
12398 1608 cutoff 52 0.71518 0.74233 3.80% 16.1 15s
*16561 1329 98 0.7167032 0.72959 1.80% 15.5 18s
17635 1133 0.72611 63 36 0.71670 0.72656 1.38% 15.3 20s
Cutting planes:
Gomory: 73
Cover: 4
Implied bound: 19
Projected implied bound: 30
MIR: 7
Flow cover: 60
Inf proof: 110
Explored 18668 nodes (283027 simplex iterations) in 20.91 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.716703 0.715179 0.715179
Optimal solution found (tolerance 1.00e-02)
Best objective 7.167031873190e-01, best bound 7.234892707310e-01, gap 0.9468%
*******************************************
Period: 32
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpn3qjvy0y.pyomo.lp
Reading time = 0.01 seconds
x1197: 1479 rows, 1066 columns, 4855 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp24ws2nd6.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1479 rows, 1066 columns and 4855 nonzeros
Variable types: 679 continuous, 387 integer (384 binary)
Coefficient statistics:
Matrix range [1e-02, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.722069
Presolve removed 508 rows and 330 columns
Presolve time: 0.02s
Presolved: 971 rows, 736 columns, 3426 nonzeros
Variable types: 392 continuous, 344 integer (339 binary)
Root relaxation: objective 1.084239e+00, 710 iterations, 0.01 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.08424 0 88 0.72207 1.08424 50.2% - 0s
0 0 0.98348 0 82 0.72207 0.98348 36.2% - 0s
0 0 0.98348 0 82 0.72207 0.98348 36.2% - 0s
0 0 0.97828 0 95 0.72207 0.97828 35.5% - 0s
0 0 0.97762 0 95 0.72207 0.97762 35.4% - 0s
0 0 0.97724 0 102 0.72207 0.97724 35.3% - 0s
0 0 0.97718 0 100 0.72207 0.97718 35.3% - 0s
0 0 0.97708 0 105 0.72207 0.97708 35.3% - 0s
0 0 0.97708 0 83 0.72207 0.97708 35.3% - 0s
0 2 0.97708 0 83 0.72207 0.97708 35.3% - 0s
2003 524 0.79451 30 67 0.72207 0.84172 16.6% 19.8 5s
H 4564 1005 0.7220695 0.78864 9.22% 18.1 8s
5909 1284 0.76962 36 74 0.72207 0.77719 7.63% 17.0 10s
10658 2188 0.72947 49 61 0.72207 0.76298 5.67% 15.8 15s
14447 1732 0.75022 50 58 0.72207 0.75022 3.90% 16.5 20s
17879 976 cutoff 43 0.72207 0.73702 2.07% 16.6 25s
Cutting planes:
Gomory: 80
Cover: 4
Implied bound: 19
Projected implied bound: 36
MIR: 10
Flow cover: 65
Inf proof: 153
Explored 19920 nodes (322536 simplex iterations) in 27.12 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.722069 0.722069
Optimal solution found (tolerance 1.00e-02)
Best objective 7.220694651877e-01, best bound 7.281494985245e-01, gap 0.8420%
*******************************************
Period: 33
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpu98ddgmk.pyomo.lp
Reading time = 0.01 seconds
x1234: 1525 rows, 1099 columns, 5008 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpx6nwmpxc.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1525 rows, 1099 columns and 5008 nonzeros
Variable types: 700 continuous, 399 integer (396 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.706659
Presolve removed 522 rows and 339 columns
Presolve time: 0.02s
Presolved: 1003 rows, 760 columns, 3540 nonzeros
Variable types: 405 continuous, 355 integer (350 binary)
Root relaxation: objective 1.056340e+00, 771 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05634 0 90 0.70666 1.05634 49.5% - 0s
0 0 0.96085 0 74 0.70666 0.96085 36.0% - 0s
0 0 0.96084 0 76 0.70666 0.96084 36.0% - 0s
0 0 0.95734 0 91 0.70666 0.95734 35.5% - 0s
0 0 0.95702 0 83 0.70666 0.95702 35.4% - 0s
0 0 0.95659 0 89 0.70666 0.95659 35.4% - 0s
0 0 0.95657 0 87 0.70666 0.95657 35.4% - 0s
0 0 0.95652 0 87 0.70666 0.95652 35.4% - 0s
0 0 0.95652 0 81 0.70666 0.95652 35.4% - 0s
0 2 0.95652 0 81 0.70666 0.95652 35.4% - 0s
1692 528 0.82325 21 79 0.70666 0.86185 22.0% 23.2 5s
H 5204 875 0.7066591 0.78121 10.5% 21.5 9s
5205 840 cutoff 35 0.70666 0.78121 10.5% 21.5 10s
10441 2088 cutoff 46 0.70666 0.75034 6.18% 16.5 15s
15846 2443 0.72668 58 67 0.70666 0.73413 3.89% 15.5 20s
*16832 2361 115 0.7075792 0.73164 3.40% 15.4 21s
*19865 1709 109 0.7092640 0.72274 1.90% 15.3 24s
*19872 1659 109 0.7097159 0.72274 1.83% 15.3 24s
19927 1627 infeasible 43 0.70972 0.72272 1.83% 15.3 25s
*20462 1385 101 0.7107048 0.72148 1.52% 15.3 25s
Cutting planes:
Gomory: 82
Cover: 2
Implied bound: 22
Projected implied bound: 30
MIR: 9
Flow cover: 58
Inf proof: 141
Explored 21895 nodes (329269 simplex iterations) in 27.23 seconds
Thread count was 4 (of 4 available processors)
Solution count 6: 0.710705 0.709716 0.709264 ... 0.706659
Optimal solution found (tolerance 1.00e-02)
Best objective 7.107047559324e-01, best bound 7.170063647240e-01, gap 0.8867%
*******************************************
Period: 34
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpmrj3qqx2.pyomo.lp
Reading time = 0.01 seconds
x1271: 1571 rows, 1132 columns, 5161 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp66j209i3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1571 rows, 1132 columns and 5161 nonzeros
Variable types: 721 continuous, 411 integer (408 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.712984
Presolve removed 536 rows and 348 columns
Presolve time: 0.02s
Presolved: 1035 rows, 784 columns, 3654 nonzeros
Variable types: 418 continuous, 366 integer (361 binary)
Root relaxation: objective 1.056632e+00, 814 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.05663 0 95 0.71298 1.05663 48.2% - 0s
0 0 0.95841 0 80 0.71298 0.95841 34.4% - 0s
0 0 0.95840 0 82 0.71298 0.95840 34.4% - 0s
0 0 0.95442 0 99 0.71298 0.95442 33.9% - 0s
0 0 0.95420 0 93 0.71298 0.95420 33.8% - 0s
0 0 0.95379 0 93 0.71298 0.95379 33.8% - 0s
0 0 0.95379 0 83 0.71298 0.95379 33.8% - 0s
0 2 0.95379 0 83 0.71298 0.95379 33.8% - 0s
1665 477 0.85351 23 101 0.71298 0.86100 20.8% 24.6 5s
H 4021 995 0.7129836 0.78977 10.8% 19.3 7s
5698 1259 infeasible 39 0.71298 0.77088 8.12% 18.2 10s
9773 1422 0.73901 46 70 0.71298 0.74820 4.94% 17.2 15s
14240 1937 cutoff 59 0.71298 0.73442 3.01% 15.8 20s
18219 2119 0.71549 96 28 0.71298 0.72775 2.07% 14.7 25s
22610 1363 cutoff 67 0.71298 0.72107 1.13% 14.4 30s
Cutting planes:
Gomory: 77
Cover: 4
Implied bound: 15
Projected implied bound: 38
MIR: 9
Flow cover: 61
Inf proof: 131
Explored 23214 nodes (334651 simplex iterations) in 30.55 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.712984 0.712984
Optimal solution found (tolerance 1.00e-02)
Best objective 7.129836292155e-01, best bound 7.199876058038e-01, gap 0.9823%
*******************************************
Period: 35
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp4ir7zy_x.pyomo.lp
Reading time = 0.01 seconds
x1308: 1617 rows, 1165 columns, 5314 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpe7mi9rv3.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1617 rows, 1165 columns and 5314 nonzeros
Variable types: 742 continuous, 423 integer (420 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 3e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.700103
Presolve removed 550 rows and 357 columns
Presolve time: 0.02s
Presolved: 1067 rows, 808 columns, 3768 nonzeros
Variable types: 431 continuous, 377 integer (372 binary)
Root relaxation: objective 1.047124e+00, 837 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04712 0 97 0.70010 1.04712 49.6% - 0s
0 0 0.95261 0 86 0.70010 0.95261 36.1% - 0s
0 0 0.95260 0 88 0.70010 0.95260 36.1% - 0s
0 0 0.94822 0 94 0.70010 0.94822 35.4% - 0s
0 0 0.94812 0 92 0.70010 0.94812 35.4% - 0s
0 0 0.94799 0 102 0.70010 0.94799 35.4% - 0s
0 0 0.94799 0 90 0.70010 0.94799 35.4% - 0s
0 2 0.94799 0 90 0.70010 0.94799 35.4% - 0s
* 1543 636 122 0.7007019 0.86204 23.0% 20.8 4s
1723 653 0.75521 29 94 0.70070 0.86204 23.0% 22.0 5s
5114 1444 cutoff 35 0.70070 0.81585 16.4% 22.9 10s
8506 1983 0.72237 33 81 0.70070 0.78498 12.0% 22.8 15s
12726 2155 0.73840 34 84 0.70070 0.75642 7.95% 21.4 20s
H14575 2368 0.7007019 0.74795 6.74% 20.7 23s
14992 2413 0.73064 38 73 0.70070 0.74709 6.62% 20.5 25s
20129 3373 0.70192 59 68 0.70070 0.73779 5.29% 18.8 30s
22771 4017 cutoff 42 0.70070 0.73486 4.87% 18.2 41s
27101 4822 0.71230 55 79 0.70070 0.73011 4.20% 17.9 45s
32074 5844 0.71892 75 66 0.70070 0.72628 3.65% 17.6 50s
36491 5845 infeasible 62 0.70070 0.72281 3.16% 17.9 55s
40101 5448 cutoff 35 0.70070 0.71951 2.68% 18.1 60s
43764 4897 cutoff 43 0.70070 0.71633 2.23% 18.4 65s
47047 4305 cutoff 74 0.70070 0.71347 1.82% 18.6 70s
50095 3455 infeasible 83 0.70070 0.71057 1.41% 18.8 75s
Cutting planes:
Gomory: 108
Cover: 4
Implied bound: 54
Projected implied bound: 40
MIR: 17
Flow cover: 101
Inf proof: 269
Explored 52903 nodes (1001655 simplex iterations) in 79.19 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.700702 0.700702 0.700103
Optimal solution found (tolerance 1.00e-02)
Best objective 7.007018702648e-01, best bound 7.075341656836e-01, gap 0.9751%
*******************************************
Period: 36
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpqmltnoi4.pyomo.lp
Reading time = 0.01 seconds
x1345: 1663 rows, 1198 columns, 5467 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmptazkedtg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1663 rows, 1198 columns and 5467 nonzeros
Variable types: 763 continuous, 435 integer (432 binary)
Coefficient statistics:
Matrix range [9e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.696208
Presolve removed 564 rows and 366 columns
Presolve time: 0.02s
Presolved: 1099 rows, 832 columns, 3882 nonzeros
Variable types: 444 continuous, 388 integer (383 binary)
Root relaxation: objective 1.040384e+00, 804 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.04038 0 98 0.69621 1.04038 49.4% - 0s
0 0 0.94635 0 90 0.69621 0.94635 35.9% - 0s
0 0 0.94635 0 90 0.69621 0.94635 35.9% - 0s
0 0 0.94130 0 89 0.69621 0.94130 35.2% - 0s
0 0 0.94125 0 89 0.69621 0.94125 35.2% - 0s
0 0 0.94122 0 99 0.69621 0.94122 35.2% - 0s
0 0 0.94122 0 86 0.69621 0.94122 35.2% - 0s
0 2 0.94122 0 86 0.69621 0.94122 35.2% - 0s
1717 695 0.79803 30 79 0.69621 0.85409 22.7% 20.3 5s
5176 1562 infeasible 27 0.69621 0.79527 14.2% 20.2 10s
H 6905 1860 0.6962082 0.77674 11.6% 21.5 14s
6953 1845 0.73024 44 99 0.69621 0.77609 11.5% 21.5 15s
10816 2731 0.75403 41 94 0.69621 0.75972 9.12% 21.0 20s
13961 3219 infeasible 48 0.69621 0.75101 7.87% 20.7 25s
18086 3539 cutoff 36 0.69621 0.74123 6.47% 20.7 30s
H19879 3915 0.6962082 0.73926 6.18% 20.6 32s
H19880 3915 0.6962082 0.73926 6.18% 20.6 32s
20581 3933 cutoff 45 0.69621 0.73796 6.00% 20.6 42s
22288 4135 cutoff 49 0.69621 0.73569 5.67% 20.6 45s
26163 4463 cutoff 49 0.69621 0.73126 5.03% 20.9 50s
29692 4582 0.72092 55 84 0.69621 0.72676 4.39% 21.3 55s
33178 4654 cutoff 59 0.69621 0.72321 3.88% 21.6 60s
36344 4542 cutoff 51 0.69621 0.71987 3.40% 21.8 65s
39478 4259 cutoff 72 0.69621 0.71585 2.82% 22.0 70s
43076 4002 cutoff 60 0.69621 0.71246 2.33% 22.0 75s
46251 3581 0.70790 72 57 0.69621 0.70932 1.88% 21.8 80s
49820 2465 cutoff 75 0.69621 0.70562 1.35% 21.8 85s
Cutting planes:
Gomory: 110
Cover: 6
Implied bound: 33
Projected implied bound: 48
MIR: 13
Flow cover: 116
GUB cover: 1
Inf proof: 243
Explored 51822 nodes (1122794 simplex iterations) in 87.31 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.696208 0.696208 0.696208 0.696208
Optimal solution found (tolerance 1.00e-02)
Best objective 6.962082082650e-01, best bound 7.029862567871e-01, gap 0.9736%
*******************************************
Period: 37
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpywaw5dxu.pyomo.lp
Reading time = 0.01 seconds
x1382: 1709 rows, 1231 columns, 5620 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpvtij8b5a.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1709 rows, 1231 columns and 5620 nonzeros
Variable types: 784 continuous, 447 integer (444 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [6e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.695029
Presolve removed 578 rows and 375 columns
Presolve time: 0.02s
Presolved: 1131 rows, 856 columns, 3996 nonzeros
Variable types: 457 continuous, 399 integer (394 binary)
Root relaxation: objective 1.031794e+00, 888 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.03179 0 102 0.69503 1.03179 48.5% - 0s
0 0 0.93461 0 91 0.69503 0.93461 34.5% - 0s
0 0 0.93457 0 92 0.69503 0.93457 34.5% - 0s
0 0 0.93195 0 98 0.69503 0.93195 34.1% - 0s
0 0 0.93159 0 92 0.69503 0.93159 34.0% - 0s
0 0 0.93154 0 95 0.69503 0.93154 34.0% - 0s
0 0 0.93154 0 86 0.69503 0.93154 34.0% - 0s
0 2 0.93154 0 86 0.69503 0.93154 34.0% - 0s
1557 633 0.74385 35 94 0.69503 0.84919 22.2% 23.8 5s
4406 1140 0.70300 49 87 0.69503 0.78065 12.3% 23.1 10s
6706 1511 0.71739 39 85 0.69503 0.76360 9.87% 22.2 15s
10230 1953 cutoff 38 0.69503 0.74704 7.48% 20.6 20s
H12981 2296 0.6950294 0.73717 6.06% 19.9 23s
13841 2225 0.72015 47 89 0.69503 0.73376 5.57% 19.9 25s
17325 2074 cutoff 72 0.69503 0.72313 4.04% 19.9 30s
20797 1723 0.70423 79 66 0.69503 0.71282 2.56% 19.5 35s
24946 1517 cutoff 84 0.69503 0.70524 1.47% 18.5 40s
Cutting planes:
Gomory: 100
Cover: 4
Implied bound: 47
Projected implied bound: 49
MIR: 10
Flow cover: 87
Inf proof: 170
Explored 26736 nodes (481991 simplex iterations) in 42.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.695029 0.695029
Optimal solution found (tolerance 1.00e-02)
Best objective 6.950294312103e-01, best bound 7.019346462162e-01, gap 0.9935%
*******************************************
Period: 38
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpq8lqjfj5.pyomo.lp
Reading time = 0.01 seconds
x1419: 1755 rows, 1264 columns, 5773 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpzjzzizvy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1755 rows, 1264 columns and 5773 nonzeros
Variable types: 805 continuous, 459 integer (456 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.694994
Presolve removed 592 rows and 384 columns
Presolve time: 0.03s
Presolved: 1163 rows, 880 columns, 4110 nonzeros
Variable types: 470 continuous, 410 integer (405 binary)
Root relaxation: objective 1.019758e+00, 898 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01976 0 104 0.69499 1.01976 46.7% - 0s
0 0 0.92844 0 97 0.69499 0.92844 33.6% - 0s
0 0 0.92844 0 97 0.69499 0.92844 33.6% - 0s
0 0 0.92456 0 100 0.69499 0.92456 33.0% - 0s
0 0 0.92436 0 94 0.69499 0.92436 33.0% - 0s
0 0 0.92426 0 102 0.69499 0.92426 33.0% - 0s
0 0 0.92426 0 92 0.69499 0.92426 33.0% - 0s
0 2 0.92426 0 92 0.69499 0.92426 33.0% - 0s
980 525 infeasible 24 0.69499 0.85278 22.7% 23.1 5s
3795 1020 infeasible 39 0.69499 0.79038 13.7% 21.9 10s
H 4757 1226 0.6949938 0.77603 11.7% 21.3 11s
6987 1686 infeasible 37 0.69499 0.76281 9.76% 20.7 15s
9582 2117 0.71813 38 76 0.69499 0.75106 8.07% 20.7 20s
13311 2602 cutoff 44 0.69499 0.73990 6.46% 20.6 25s
17661 3467 0.71618 72 66 0.69499 0.73212 5.34% 19.8 30s
H17676 3468 0.6949938 0.73212 5.34% 19.8 30s
20818 3670 infeasible 56 0.69499 0.72777 4.72% 19.8 45s
24369 4099 0.69905 62 62 0.69499 0.72327 4.07% 20.0 50s
27252 4494 0.69742 43 84 0.69499 0.72055 3.68% 20.1 55s
30996 5050 0.71428 41 85 0.69499 0.71771 3.27% 20.0 60s
35085 5362 cutoff 42 0.69499 0.71501 2.88% 19.9 65s
38717 5473 0.70381 44 99 0.69499 0.71289 2.58% 19.8 70s
42322 5356 0.69673 55 78 0.69499 0.71064 2.25% 19.9 75s
45554 4872 cutoff 61 0.69499 0.70853 1.95% 20.0 80s
49091 4362 0.70215 83 55 0.69499 0.70652 1.66% 20.2 85s
52177 3557 cutoff 84 0.69499 0.70412 1.31% 20.2 90s
Cutting planes:
Gomory: 114
Cover: 4
Implied bound: 31
Projected implied bound: 48
MIR: 23
Flow cover: 121
Inf proof: 256
Explored 55137 nodes (1117028 simplex iterations) in 94.21 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.694994 0.694994 0.694994
Optimal solution found (tolerance 1.00e-02)
Best objective 6.949938220994e-01, best bound 7.016041247701e-01, gap 0.9511%
*******************************************
Period: 39
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpr9ro_2fu.pyomo.lp
Reading time = 0.01 seconds
x1456: 1801 rows, 1297 columns, 5926 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp8v4yka5k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1801 rows, 1297 columns and 5926 nonzeros
Variable types: 826 continuous, 471 integer (468 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.696431
Presolve removed 606 rows and 393 columns
Presolve time: 0.02s
Presolved: 1195 rows, 904 columns, 4224 nonzeros
Variable types: 483 continuous, 421 integer (416 binary)
Root relaxation: objective 1.010928e+00, 862 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 1.01093 0 107 0.69643 1.01093 45.2% - 0s
0 0 0.92265 0 97 0.69643 0.92265 32.5% - 0s
0 0 0.92263 0 97 0.69643 0.92263 32.5% - 0s
0 0 0.92072 0 106 0.69643 0.92072 32.2% - 0s
0 0 0.92058 0 109 0.69643 0.92058 32.2% - 0s
0 0 0.92033 0 111 0.69643 0.92033 32.2% - 0s
0 0 0.92033 0 97 0.69643 0.92033 32.2% - 0s
0 2 0.92033 0 97 0.69643 0.92033 32.2% - 0s
1352 747 0.78846 23 102 0.69643 0.86389 24.0% 21.3 5s
3135 1018 0.80739 21 104 0.69643 0.84599 21.5% 32.5 10s
4617 1140 0.79806 26 104 0.69643 0.81952 17.7% 36.7 15s
6803 1231 0.74788 26 102 0.69643 0.78911 13.3% 36.7 20s
8812 1389 0.74853 40 90 0.69643 0.76896 10.4% 35.4 25s
12106 1732 0.71029 61 84 0.69643 0.74970 7.65% 32.0 30s
H13364 2009 0.6964309 0.74716 7.28% 30.9 32s
14728 2265 0.71759 46 88 0.69643 0.74432 6.88% 29.7 35s
19135 3188 0.71741 46 100 0.69643 0.73701 5.83% 26.8 40s
21279 3424 infeasible 68 0.69643 0.73288 5.23% 26.1 53s
22517 3621 cutoff 51 0.69643 0.73105 4.97% 25.9 56s
24647 3625 0.71286 48 90 0.69643 0.72710 4.40% 26.1 60s
27422 3682 0.71055 54 69 0.69643 0.72308 3.83% 26.2 65s
30305 3645 0.71758 57 75 0.69643 0.71958 3.32% 26.3 70s
33020 3467 0.71102 60 89 0.69643 0.71642 2.87% 26.4 75s
35642 3081 infeasible 66 0.69643 0.71320 2.41% 26.4 80s
38217 2554 cutoff 60 0.69643 0.70978 1.92% 26.4 85s
41372 1717 0.70358 51 96 0.69643 0.70527 1.27% 26.1 90s
Cutting planes:
Gomory: 116
Cover: 6
Implied bound: 74
Projected implied bound: 57
MIR: 22
Flow cover: 134
Inf proof: 238
Explored 42493 nodes (1105624 simplex iterations) in 91.84 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.696431 0.696431
Optimal solution found (tolerance 1.00e-02)
Best objective 6.964309378398e-01, best bound 7.033213278569e-01, gap 0.9894%
*******************************************
Period: 40
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpijrhj2ud.pyomo.lp
Reading time = 0.01 seconds
x1493: 1847 rows, 1330 columns, 6079 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp3gh_a7ye.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1847 rows, 1330 columns and 6079 nonzeros
Variable types: 847 continuous, 483 integer (480 binary)
Coefficient statistics:
Matrix range [8e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.685358
Presolve removed 620 rows and 402 columns
Presolve time: 0.03s
Presolved: 1227 rows, 928 columns, 4338 nonzeros
Variable types: 496 continuous, 432 integer (427 binary)
Root relaxation: objective 9.926584e-01, 903 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.99266 0 110 0.68536 0.99266 44.8% - 0s
0 0 0.90681 0 98 0.68536 0.90681 32.3% - 0s
0 0 0.90681 0 98 0.68536 0.90681 32.3% - 0s
0 0 0.90301 0 106 0.68536 0.90301 31.8% - 0s
0 0 0.90295 0 104 0.68536 0.90295 31.7% - 0s
0 0 0.90222 0 103 0.68536 0.90222 31.6% - 0s
0 0 0.90222 0 104 0.68536 0.90222 31.6% - 0s
0 0 0.90220 0 104 0.68536 0.90220 31.6% - 0s
0 0 0.90220 0 93 0.68536 0.90220 31.6% - 0s
0 2 0.90220 0 93 0.68536 0.90220 31.6% - 0s
1158 629 cutoff 34 0.68536 0.83434 21.7% 25.8 5s
3140 873 0.74529 33 97 0.68536 0.82826 20.9% 33.6 10s
4625 1065 0.72088 28 105 0.68536 0.81041 18.2% 36.6 15s
6330 1200 0.69891 34 98 0.68536 0.78958 15.2% 37.8 20s
8742 1348 0.72039 46 99 0.68536 0.76966 12.3% 36.8 25s
11492 1459 0.69557 45 87 0.68536 0.74794 9.13% 34.8 30s
13456 1565 cutoff 31 0.68536 0.73624 7.42% 33.1 35s
16667 1863 infeasible 39 0.68536 0.72597 5.93% 30.3 40s
21322 2863 cutoff 41 0.68536 0.71646 4.54% 27.4 56s
24846 3715 0.71238 63 91 0.68536 0.71249 3.96% 25.9 60s
29081 4608 0.69053 77 73 0.68536 0.70871 3.41% 24.5 65s
32668 4876 0.68611 82 60 0.68536 0.70560 2.95% 24.2 70s
36260 4799 0.68957 69 61 0.68536 0.70300 2.57% 23.9 75s
39639 4447 cutoff 43 0.68536 0.70030 2.18% 23.7 80s
42494 3695 0.69779 82 78 0.68536 0.69779 1.81% 23.8 85s
44757 3149 cutoff 70 0.68536 0.69555 1.49% 23.6 90s
Cutting planes:
Gomory: 123
Cover: 4
Implied bound: 53
Projected implied bound: 51
MIR: 21
Flow cover: 127
GUB cover: 1
Inf proof: 278
Explored 47702 nodes (1119043 simplex iterations) in 94.44 seconds
Thread count was 4 (of 4 available processors)
Solution count 1: 0.685358
Optimal solution found (tolerance 1.00e-02)
Best objective 6.853577553725e-01, best bound 6.920723610443e-01, gap 0.9797%
*******************************************
Period: 41
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpcs4o8ajd.pyomo.lp
Reading time = 0.01 seconds
x1530: 1893 rows, 1363 columns, 6232 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpkoph8lev.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1893 rows, 1363 columns and 6232 nonzeros
Variable types: 868 continuous, 495 integer (492 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.686477
Presolve removed 634 rows and 411 columns
Presolve time: 0.03s
Presolved: 1259 rows, 952 columns, 4452 nonzeros
Variable types: 509 continuous, 443 integer (438 binary)
Root relaxation: objective 9.848538e-01, 916 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.98485 0 113 0.68648 0.98485 43.5% - 0s
0 0 0.90412 0 107 0.68648 0.90412 31.7% - 0s
0 0 0.90412 0 107 0.68648 0.90412 31.7% - 0s
0 0 0.90001 0 116 0.68648 0.90001 31.1% - 0s
0 0 0.90000 0 113 0.68648 0.90000 31.1% - 0s
0 0 0.89992 0 121 0.68648 0.89992 31.1% - 0s
0 0 0.89992 0 100 0.68648 0.89992 31.1% - 0s
0 2 0.89992 0 99 0.68648 0.89992 31.1% - 0s
1326 616 0.73903 25 107 0.68648 0.83814 22.1% 23.5 5s
H 2470 635 0.6864766 0.82910 20.8% 27.5 7s
3547 961 0.69851 32 100 0.68648 0.81257 18.4% 27.3 10s
H 3716 1009 0.6864766 0.81090 18.1% 27.4 10s
H 4795 1243 0.6864766 0.79899 16.4% 27.8 13s
5654 1443 cutoff 29 0.68648 0.79118 15.3% 27.2 15s
8959 2012 0.71287 33 97 0.68648 0.76887 12.0% 25.4 20s
11931 2157 0.69181 57 74 0.68648 0.75096 9.39% 25.1 25s
14519 2330 0.70271 31 95 0.68648 0.73874 7.61% 24.8 30s
18083 2969 0.72257 44 84 0.68648 0.72798 6.05% 23.6 35s
20864 3315 0.70832 49 91 0.68648 0.72250 5.25% 23.1 50s
24638 3964 0.71733 46 83 0.68648 0.71733 4.50% 22.5 55s
28685 4770 0.71329 59 94 0.68648 0.71329 3.91% 21.7 60s
33143 5837 0.69486 45 90 0.68648 0.71056 3.51% 21.0 65s
37994 6841 cutoff 57 0.68648 0.70782 3.11% 20.4 70s
42315 7745 cutoff 66 0.68648 0.70619 2.87% 20.0 75s
46375 8051 cutoff 36 0.68648 0.70441 2.61% 19.8 80s
49615 8166 0.70198 64 79 0.68648 0.70327 2.45% 19.8 85s
52432 8076 cutoff 57 0.68648 0.70229 2.30% 19.9 90s
55395 7758 cutoff 44 0.68648 0.70101 2.12% 20.1 95s
57976 7256 cutoff 81 0.68648 0.69970 1.93% 20.3 100s
60553 6603 infeasible 83 0.68648 0.69844 1.74% 20.5 105s
63545 5630 infeasible 81 0.68648 0.69651 1.46% 20.7 110s
66124 4791 infeasible 57 0.68648 0.69494 1.23% 20.8 115s
Cutting planes:
Gomory: 124
Cover: 4
Implied bound: 60
Projected implied bound: 41
MIR: 18
Flow cover: 111
GUB cover: 1
Inf proof: 338
Explored 68494 nodes (1428553 simplex iterations) in 118.76 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.686477 0.686477 0.686477 0.686477
Optimal solution found (tolerance 1.00e-02)
Best objective 6.864765914792e-01, best bound 6.933201234519e-01, gap 0.9969%
*******************************************
Period: 42
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpzag5i97q.pyomo.lp
Reading time = 0.01 seconds
x1567: 1939 rows, 1396 columns, 6385 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0_u5mjcl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1939 rows, 1396 columns and 6385 nonzeros
Variable types: 889 continuous, 507 integer (504 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.676942
Presolve removed 648 rows and 420 columns
Presolve time: 0.03s
Presolved: 1291 rows, 976 columns, 4566 nonzeros
Variable types: 522 continuous, 454 integer (449 binary)
Root relaxation: objective 9.610164e-01, 987 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.96102 0 114 0.67694 0.96102 42.0% - 0s
0 0 0.88840 0 110 0.67694 0.88840 31.2% - 0s
0 0 0.88838 0 111 0.67694 0.88838 31.2% - 0s
0 0 0.88630 0 121 0.67694 0.88630 30.9% - 0s
0 0 0.88603 0 118 0.67694 0.88603 30.9% - 0s
0 0 0.88530 0 112 0.67694 0.88530 30.8% - 0s
0 0 0.88526 0 119 0.67694 0.88526 30.8% - 0s
0 0 0.88520 0 122 0.67694 0.88520 30.8% - 0s
0 0 0.88520 0 105 0.67694 0.88520 30.8% - 0s
0 2 0.88520 0 105 0.67694 0.88520 30.8% - 0s
1336 622 cutoff 40 0.67694 0.82358 21.7% 19.6 5s
4428 1616 0.72028 39 105 0.67694 0.78376 15.8% 21.0 10s
7081 2316 0.72179 31 117 0.67694 0.76956 13.7% 22.3 16s
8709 2527 cutoff 34 0.67694 0.76213 12.6% 24.0 20s
11306 2917 0.68129 55 97 0.67694 0.75334 11.3% 24.6 25s
H13111 3071 0.6769423 0.74853 10.6% 25.2 29s
13523 3034 infeasible 49 0.67694 0.74688 10.3% 25.2 30s
16002 3086 infeasible 36 0.67694 0.73944 9.23% 25.9 35s
18290 3023 0.70930 34 109 0.67694 0.73139 8.04% 26.4 40s
20448 3076 infeasible 38 0.67694 0.72548 7.17% 26.2 45s
20857 3126 infeasible 37 0.67694 0.72460 7.04% 26.2 57s
22314 3168 cutoff 42 0.67694 0.72091 6.50% 26.3 60s
25113 3501 0.68451 53 89 0.67694 0.71437 5.53% 26.6 65s
27803 3873 cutoff 45 0.67694 0.71083 5.01% 26.4 70s
31401 4457 infeasible 70 0.67694 0.70551 4.22% 25.9 75s
34601 4909 0.69450 62 95 0.67694 0.70268 3.80% 25.5 80s
38435 5671 cutoff 58 0.67694 0.70025 3.44% 24.9 85s
42471 6358 0.68226 65 99 0.67694 0.69841 3.17% 24.5 90s
45111 6648 cutoff 90 0.67694 0.69749 3.03% 24.3 95s
48323 6750 0.69018 77 60 0.67694 0.69610 2.83% 24.3 100s
51162 6671 cutoff 43 0.67694 0.69479 2.64% 24.4 105s
53739 6326 cutoff 83 0.67694 0.69362 2.46% 24.7 110s
56452 5929 cutoff 83 0.67694 0.69178 2.19% 24.9 115s
59260 5482 0.68693 67 86 0.67694 0.69028 1.97% 25.0 120s
61672 4896 0.68517 85 82 0.67694 0.68888 1.76% 25.2 125s
64175 4189 0.67906 89 81 0.67694 0.68714 1.51% 25.3 130s
66708 3322 infeasible 74 0.67694 0.68503 1.19% 25.2 135s
Cutting planes:
Gomory: 141
Cover: 6
Implied bound: 54
Projected implied bound: 46
MIR: 29
Flow cover: 115
Inf proof: 314
Explored 68585 nodes (1725281 simplex iterations) in 138.18 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.676942 0.676942
Optimal solution found (tolerance 1.00e-02)
Best objective 6.769422528512e-01, best bound 6.835420811793e-01, gap 0.9749%
*******************************************
Period: 43
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpawls__5z.pyomo.lp
Reading time = 0.01 seconds
x1604: 1985 rows, 1429 columns, 6538 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz3wlrtqy.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 1985 rows, 1429 columns and 6538 nonzeros
Variable types: 910 continuous, 519 integer (516 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.674736
Presolve removed 662 rows and 429 columns
Presolve time: 0.03s
Presolved: 1323 rows, 1000 columns, 4680 nonzeros
Variable types: 535 continuous, 465 integer (460 binary)
Root relaxation: objective 9.518438e-01, 984 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.95184 0 118 0.67474 0.95184 41.1% - 0s
0 0 0.88172 0 107 0.67474 0.88172 30.7% - 0s
0 0 0.88172 0 107 0.67474 0.88172 30.7% - 0s
0 0 0.88006 0 130 0.67474 0.88006 30.4% - 0s
0 0 0.88000 0 133 0.67474 0.88000 30.4% - 0s
0 0 0.87986 0 141 0.67474 0.87986 30.4% - 0s
0 0 0.87986 0 124 0.67474 0.87986 30.4% - 0s
0 2 0.87986 0 122 0.67474 0.87986 30.4% - 0s
1116 588 cutoff 25 0.67474 0.82365 22.1% 23.9 5s
3069 977 0.68226 40 98 0.67474 0.79723 18.2% 29.5 10s
H 3616 1125 0.6747362 0.79374 17.6% 30.2 12s
4549 1375 infeasible 23 0.67474 0.78723 16.7% 30.6 15s
6518 1757 0.74867 33 108 0.67474 0.77405 14.7% 33.0 20s
8038 1928 infeasible 41 0.67474 0.76704 13.7% 34.0 25s
9629 1991 0.73195 30 110 0.67474 0.75722 12.2% 34.9 30s
11633 2258 0.71397 47 105 0.67474 0.74714 10.7% 34.5 35s
12845 2284 0.69057 44 98 0.67474 0.74113 9.84% 34.7 40s
14913 2310 cutoff 38 0.67474 0.73159 8.43% 34.8 45s
H16710 2459 0.6747362 0.72764 7.84% 34.5 49s
16722 2381 cutoff 46 0.67474 0.72764 7.84% 34.4 50s
18939 2330 cutoff 51 0.67474 0.71861 6.50% 34.2 55s
20871 2477 0.70050 54 105 0.67474 0.71462 5.91% 33.6 71s
22658 2588 cutoff 58 0.67474 0.71080 5.34% 33.2 76s
25213 2933 0.70507 53 98 0.67474 0.70640 4.69% 32.5 80s
27776 3299 0.68944 48 97 0.67474 0.70319 4.22% 31.7 85s
31322 3912 0.67617 55 98 0.67474 0.70030 3.79% 30.4 90s
35207 4558 0.68918 55 97 0.67474 0.69716 3.32% 29.2 95s
38944 5249 0.69004 76 70 0.67474 0.69509 3.02% 28.1 100s
43958 6311 cutoff 83 0.67474 0.69396 2.85% 26.7 105s
47486 6585 0.69221 99 63 0.67474 0.69235 2.61% 26.1 110s
51127 6715 infeasible 99 0.67474 0.69090 2.40% 25.6 115s
54289 6781 cutoff 75 0.67474 0.68943 2.18% 25.4 120s
57406 6855 cutoff 83 0.67474 0.68854 2.05% 25.2 125s
60783 6622 0.68673 68 91 0.67474 0.68752 1.89% 25.0 130s
63737 6343 0.68369 67 68 0.67474 0.68657 1.75% 24.8 135s
67032 6026 0.68513 86 54 0.67474 0.68556 1.60% 24.7 140s
69701 5567 cutoff 51 0.67474 0.68475 1.48% 24.6 145s
72497 5116 cutoff 78 0.67474 0.68390 1.36% 24.5 150s
75448 4635 0.68106 71 66 0.67474 0.68293 1.21% 24.3 155s
78289 4008 0.68191 96 48 0.67474 0.68192 1.07% 24.2 160s
Cutting planes:
Learned: 1
Gomory: 143
Cover: 2
Implied bound: 58
Projected implied bound: 41
MIR: 24
Flow cover: 122
Inf proof: 335
Explored 79569 nodes (1925452 simplex iterations) in 162.17 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.674736 0.674736 0.674736
Optimal solution found (tolerance 1.00e-02)
Best objective 6.747362393506e-01, best bound 6.814378756871e-01, gap 0.9932%
*******************************************
Period: 44
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp2wtou8u2.pyomo.lp
Reading time = 0.01 seconds
x1641: 2031 rows, 1462 columns, 6691 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpap9eux8k.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2031 rows, 1462 columns and 6691 nonzeros
Variable types: 931 continuous, 531 integer (528 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.668898
Presolve removed 676 rows and 438 columns
Presolve time: 0.03s
Presolved: 1355 rows, 1024 columns, 4794 nonzeros
Variable types: 548 continuous, 476 integer (471 binary)
Root relaxation: objective 9.436370e-01, 1137 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.94364 0 117 0.66890 0.94364 41.1% - 0s
0 0 0.87330 0 113 0.66890 0.87330 30.6% - 0s
0 0 0.87328 0 113 0.66890 0.87328 30.6% - 0s
0 0 0.87175 0 119 0.66890 0.87175 30.3% - 0s
0 0 0.87166 0 120 0.66890 0.87166 30.3% - 0s
0 0 0.87114 0 122 0.66890 0.87114 30.2% - 0s
0 0 0.87112 0 123 0.66890 0.87112 30.2% - 0s
0 0 0.87089 0 131 0.66890 0.87089 30.2% - 0s
0 0 0.87089 0 113 0.66890 0.87089 30.2% - 0s
0 2 0.87089 0 113 0.66890 0.87089 30.2% - 0s
838 576 0.82492 15 124 0.66890 0.82492 23.3% 25.6 5s
3105 1272 cutoff 35 0.66890 0.81109 21.3% 24.4 10s
4666 1768 cutoff 23 0.66890 0.79190 18.4% 25.2 15s
7255 2191 0.68563 26 100 0.66890 0.76332 14.1% 26.0 20s
9672 2401 0.71537 30 118 0.66890 0.74440 11.3% 26.6 25s
12209 2540 0.69669 31 108 0.66890 0.73084 9.26% 27.4 30s
14314 2677 0.70434 47 96 0.66890 0.72205 7.95% 27.4 35s
17452 3232 cutoff 59 0.66890 0.71273 6.55% 26.3 40s
20697 3771 0.68165 59 113 0.66890 0.70625 5.58% 25.5 58s
20707 3778 0.67415 107 167 0.66890 0.70625 5.58% 25.5 60s
20716 3784 0.69146 69 168 0.66890 0.70625 5.58% 25.5 66s
20724 3789 0.70079 31 190 0.66890 0.70625 5.58% 25.5 70s
20730 3793 0.69419 42 181 0.66890 0.70625 5.58% 25.5 75s
20737 3798 0.68166 31 187 0.66890 0.70625 5.58% 25.5 80s
20746 3804 0.69941 27 186 0.66890 0.70625 5.58% 25.5 85s
20753 3808 0.67367 112 217 0.66890 0.70625 5.58% 25.5 90s
20761 3814 0.69541 58 210 0.66890 0.70625 5.58% 25.5 95s
20768 3818 0.68777 56 207 0.66890 0.70625 5.58% 25.5 100s
20776 3824 0.69555 29 208 0.66890 0.70625 5.58% 25.4 105s
20783 3828 0.69866 39 217 0.66890 0.70625 5.58% 25.4 110s
20790 3833 0.70248 34 200 0.66890 0.70625 5.58% 25.4 115s
20798 3838 0.67323 89 216 0.66890 0.70625 5.58% 25.4 120s
20805 3843 0.68884 78 211 0.66890 0.70625 5.58% 25.4 125s
20813 3848 0.70140 64 214 0.66890 0.70625 5.58% 25.4 131s
20817 3851 0.68879 63 216 0.66890 0.70625 5.58% 25.4 135s
20821 3854 0.69270 63 202 0.66890 0.70625 5.58% 25.4 140s
20826 3857 0.68808 43 211 0.66890 0.70625 5.58% 25.4 145s
20831 3860 0.68456 44 212 0.66890 0.70625 5.58% 25.4 150s
20837 3864 0.68166 31 213 0.66890 0.70625 5.58% 25.4 155s
20843 3868 0.68952 50 209 0.66890 0.70625 5.58% 25.4 160s
H20844 3673 0.6688982 0.70625 5.58% 25.4 163s
20847 3675 0.68379 46 205 0.66890 0.70625 5.58% 25.4 165s
20851 3678 0.70232 27 201 0.66890 0.70625 5.58% 25.4 170s
20856 3681 0.68567 43 210 0.66890 0.70625 5.58% 25.3 175s
20863 3686 0.69909 34 193 0.66890 0.70625 5.58% 25.3 181s
20867 3688 0.67733 57 207 0.66890 0.70625 5.58% 25.3 185s
20872 3692 0.69891 50 213 0.66890 0.70625 5.58% 25.3 190s
20878 3696 0.69333 29 197 0.66890 0.70625 5.58% 25.3 196s
20884 3700 0.69721 35 194 0.66890 0.70625 5.58% 25.3 201s
20888 3702 0.70077 31 190 0.66890 0.70625 5.58% 25.3 205s
20895 3707 0.68124 35 192 0.66890 0.70625 5.58% 25.3 210s
20900 3710 0.68652 55 184 0.66890 0.70625 5.58% 25.3 215s
20906 3714 0.69075 31 180 0.66890 0.70625 5.58% 25.3 220s
20912 3718 0.69919 45 194 0.66890 0.70625 5.58% 25.3 225s
20919 3723 0.70465 42 205 0.66890 0.70625 5.58% 25.3 230s
20922 3726 0.70625 25 210 0.66890 0.70625 5.58% 27.5 235s
20933 3725 0.70625 28 156 0.66890 0.70625 5.58% 27.6 241s
21071 3746 0.67497 50 126 0.66890 0.70625 5.58% 27.8 245s
21843 3875 0.68890 42 173 0.66890 0.70625 5.58% 28.4 250s
22780 4083 0.67928 53 122 0.66890 0.70625 5.58% 29.1 255s
23495 4199 infeasible 40 0.66890 0.70625 5.58% 30.4 260s
24216 4287 0.68341 52 162 0.66890 0.70625 5.58% 31.4 265s
24818 4342 cutoff 40 0.66890 0.70625 5.58% 32.3 270s
25476 4430 0.68214 71 89 0.66890 0.70625 5.58% 33.5 276s
25853 4421 0.69169 43 166 0.66890 0.70625 5.58% 34.1 281s
26297 4455 cutoff 60 0.66890 0.70625 5.58% 35.1 285s
26966 4410 0.70121 50 159 0.66890 0.70625 5.58% 36.3 293s
26975 4391 0.70120 51 158 0.66890 0.70625 5.58% 36.3 295s
27570 4398 cutoff 56 0.66890 0.70625 5.58% 37.4 300s
28049 4346 0.68297 58 130 0.66890 0.70625 5.58% 38.9 306s
28557 4367 0.68121 39 184 0.66890 0.70625 5.58% 39.8 310s
29175 4427 0.67185 44 159 0.66890 0.70610 5.56% 40.3 315s
30075 4450 0.70555 49 155 0.66890 0.70555 5.48% 41.5 322s
30383 4447 0.67305 67 100 0.66890 0.70522 5.43% 42.0 325s
31124 4450 cutoff 74 0.66890 0.70475 5.36% 42.9 330s
31808 4421 0.67434 60 149 0.66890 0.70419 5.28% 43.8 336s
32542 4504 0.68604 56 127 0.66890 0.70354 5.18% 45.0 342s
32991 4615 0.69590 57 145 0.66890 0.70334 5.15% 45.6 345s
33808 4816 cutoff 51 0.66890 0.70268 5.05% 46.8 352s
33902 4814 0.67950 53 151 0.66890 0.70268 5.05% 47.0 355s
34695 5003 0.67952 52 159 0.66890 0.70222 4.98% 48.2 361s
35344 5105 0.67187 53 144 0.66890 0.70165 4.90% 49.3 367s
35669 5163 0.69485 60 161 0.66890 0.70150 4.87% 49.9 370s
36385 5347 cutoff 49 0.66890 0.70122 4.83% 50.6 375s
36993 5457 0.68530 54 139 0.66890 0.70081 4.77% 51.7 381s
37693 5627 0.69816 51 139 0.66890 0.70046 4.72% 52.5 388s
38191 5735 0.67775 46 153 0.66890 0.70025 4.69% 52.9 391s
39126 5971 cutoff 65 0.66890 0.69971 4.61% 53.8 397s
39553 6070 cutoff 55 0.66890 0.69951 4.58% 54.2 401s
40373 6195 0.67351 52 143 0.66890 0.69907 4.51% 55.2 407s
40749 6247 cutoff 49 0.66890 0.69883 4.48% 55.7 411s
41682 6420 0.69051 56 106 0.66890 0.69839 4.41% 56.5 417s
42168 6540 cutoff 51 0.66890 0.69806 4.36% 56.8 420s
43051 6676 0.67509 84 80 0.66890 0.69755 4.28% 57.6 427s
43560 6771 cutoff 57 0.66890 0.69737 4.26% 57.9 430s
44082 6881 0.67621 55 127 0.66890 0.69712 4.22% 58.3 437s
44636 7033 0.68870 37 180 0.66890 0.69684 4.18% 58.5 440s
45312 7089 0.67445 60 143 0.66890 0.69649 4.12% 59.4 446s
45791 7205 0.68235 45 178 0.66890 0.69635 4.10% 59.6 450s
46594 7363 infeasible 59 0.66890 0.69601 4.05% 60.3 456s
47416 7520 0.67927 54 128 0.66890 0.69564 4.00% 61.0 462s
47872 7617 0.68515 47 173 0.66890 0.69546 3.97% 61.2 465s
48498 7669 cutoff 54 0.66890 0.69521 3.93% 62.0 471s
49191 7779 0.69230 55 134 0.66890 0.69495 3.89% 62.7 477s
49557 7799 cutoff 54 0.66890 0.69469 3.86% 63.1 480s
50378 7910 0.68191 52 156 0.66890 0.69417 3.78% 63.7 486s
51031 7969 cutoff 50 0.66890 0.69381 3.73% 64.4 492s
51395 7997 0.67567 58 170 0.66890 0.69371 3.71% 64.7 495s
52319 8145 infeasible 53 0.66890 0.69339 3.66% 65.1 501s
52710 8185 0.67685 52 155 0.66890 0.69314 3.62% 65.5 505s
53408 8298 cutoff 63 0.66890 0.69285 3.58% 66.1 511s
54029 8341 infeasible 59 0.66890 0.69266 3.55% 66.8 517s
54357 8369 cutoff 54 0.66890 0.69241 3.52% 67.0 520s
55166 8477 cutoff 47 0.66890 0.69213 3.47% 67.7 530s
55664 8523 0.67710 67 120 0.66890 0.69194 3.45% 68.0 536s
55901 8496 0.67461 52 181 0.66890 0.69183 3.43% 68.3 540s
56798 8553 0.67254 57 182 0.66890 0.69153 3.38% 68.9 546s
57540 8631 cutoff 54 0.66890 0.69119 3.33% 69.5 553s
57940 8650 0.67340 59 149 0.66890 0.69107 3.31% 69.8 556s
58632 8684 0.67071 53 172 0.66890 0.69082 3.28% 70.3 562s
58945 8693 0.68486 72 130 0.66890 0.69065 3.25% 70.6 566s
59820 8819 0.68282 44 163 0.66890 0.69043 3.22% 71.0 573s
60258 8887 infeasible 48 0.66890 0.69037 3.21% 71.2 576s
61112 8939 0.67563 39 182 0.66890 0.69014 3.18% 71.6 582s
61455 8937 0.67430 56 117 0.66890 0.69004 3.16% 71.9 586s
62219 9005 cutoff 48 0.66890 0.68974 3.12% 72.4 592s
62500 8990 cutoff 54 0.66890 0.68961 3.10% 72.7 596s
63133 9123 0.67173 49 188 0.66890 0.68947 3.08% 72.6 600s
Cutting planes:
Gomory: 149
Cover: 12
Implied bound: 65
Projected implied bound: 64
Clique: 1
MIR: 193
StrongCG: 2
Flow cover: 791
Inf proof: 196
Zero half: 2
Explored 63473 nodes (4629068 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.668898 0.668898
Time limit reached
Best objective 6.688981710577e-01, best bound 6.893768854117e-01, gap 3.0616%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 45
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpb92w0dd0.pyomo.lp
Reading time = 0.01 seconds
x1678: 2077 rows, 1495 columns, 6844 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpp78p188w.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2077 rows, 1495 columns and 6844 nonzeros
Variable types: 952 continuous, 543 integer (540 binary)
Coefficient statistics:
Matrix range [7e-03, 1e+04]
Objective range [5e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.655588
Presolve removed 690 rows and 447 columns
Presolve time: 0.03s
Presolved: 1387 rows, 1048 columns, 4908 nonzeros
Variable types: 561 continuous, 487 integer (482 binary)
Root relaxation: objective 9.223743e-01, 1010 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.92237 0 116 0.65559 0.92237 40.7% - 0s
0 0 0.85209 0 111 0.65559 0.85209 30.0% - 0s
0 0 0.85207 0 113 0.65559 0.85207 30.0% - 0s
0 0 0.85130 0 118 0.65559 0.85130 29.9% - 0s
0 0 0.85125 0 116 0.65559 0.85125 29.8% - 0s
0 0 0.85105 0 123 0.65559 0.85105 29.8% - 0s
0 0 0.85105 0 109 0.65559 0.85105 29.8% - 0s
0 2 0.85105 0 105 0.65559 0.85105 29.8% - 0s
1132 618 0.79195 26 117 0.65559 0.80078 22.1% 26.4 5s
3387 1152 0.71571 40 102 0.65559 0.76576 16.8% 29.3 10s
4976 1430 cutoff 46 0.65559 0.74897 14.2% 30.1 15s
7355 1845 0.66765 38 99 0.65559 0.72980 11.3% 29.6 20s
9258 2150 0.66310 47 98 0.65559 0.72279 10.3% 29.6 25s
11331 2345 0.67137 68 73 0.65559 0.71472 9.02% 30.1 30s
12964 2492 0.67839 37 100 0.65559 0.70972 8.26% 30.3 35s
15383 2730 0.67581 59 78 0.65559 0.70451 7.46% 30.3 40s
17885 2978 cutoff 52 0.65559 0.70034 6.83% 30.1 45s
19967 3061 cutoff 47 0.65559 0.69714 6.34% 30.3 50s
20802 3169 0.66419 47 109 0.65559 0.69568 6.12% 30.4 65s
20817 3179 0.68651 38 184 0.65559 0.69568 6.12% 30.4 70s
20825 3184 0.66581 38 179 0.65559 0.69568 6.12% 30.4 75s
20831 3188 0.68721 36 177 0.65559 0.69568 6.12% 30.3 81s
20836 3192 0.68825 38 159 0.65559 0.69568 6.12% 30.3 85s
20842 3196 0.68335 38 189 0.65559 0.69568 6.12% 30.3 90s
20849 3200 0.69158 52 191 0.65559 0.69568 6.12% 30.3 95s
20855 3204 0.66542 53 195 0.65559 0.69568 6.12% 30.3 100s
20860 3208 0.69280 38 205 0.65559 0.69568 6.12% 30.3 105s
20866 3212 0.66823 44 204 0.65559 0.69568 6.12% 30.3 110s
20871 3215 0.66693 60 208 0.65559 0.69568 6.12% 30.3 115s
20877 3219 0.66809 39 215 0.65559 0.69568 6.12% 30.3 121s
20881 3222 0.67734 48 204 0.65559 0.69568 6.12% 30.3 125s
20886 3225 0.67483 45 208 0.65559 0.69568 6.12% 30.3 130s
20891 3228 0.68454 39 206 0.65559 0.69568 6.12% 30.3 135s
20898 3233 0.68897 43 206 0.65559 0.69568 6.12% 30.2 140s
20904 3237 0.67249 43 222 0.65559 0.69568 6.12% 30.2 145s
20911 3242 0.65786 70 214 0.65559 0.69568 6.12% 30.2 150s
20916 3245 0.68027 46 218 0.65559 0.69568 6.12% 30.2 155s
20921 3248 0.68362 46 202 0.65559 0.69568 6.12% 30.2 161s
20925 3251 0.66581 38 198 0.65559 0.69568 6.12% 30.2 165s
20931 3255 0.68721 36 204 0.65559 0.69568 6.12% 30.2 170s
20937 3259 0.67349 41 200 0.65559 0.69568 6.12% 30.2 175s
20943 3263 0.67414 70 201 0.65559 0.69568 6.12% 30.2 180s
20947 3266 0.66831 52 191 0.65559 0.69568 6.12% 30.2 185s
20952 3269 0.68678 54 208 0.65559 0.69568 6.12% 30.2 190s
20958 3273 0.68431 46 210 0.65559 0.69568 6.12% 30.2 195s
20963 3276 0.69313 51 211 0.65559 0.69568 6.12% 30.2 200s
20969 3280 0.68361 43 205 0.65559 0.69568 6.12% 30.1 206s
20973 3283 0.69104 38 209 0.65559 0.69568 6.12% 30.1 210s
20979 3287 0.66333 54 208 0.65559 0.69568 6.12% 30.1 215s
20984 3290 0.67939 53 218 0.65559 0.69568 6.12% 30.1 221s
20991 3295 0.68454 39 226 0.65559 0.69568 6.12% 30.1 225s
20996 3298 0.69018 27 215 0.65559 0.69568 6.12% 30.1 230s
21002 3302 0.66419 47 216 0.65559 0.69568 6.12% 30.1 235s
21007 3306 0.67367 35 206 0.65559 0.69568 6.12% 30.1 240s
21014 3310 0.66658 43 217 0.65559 0.69568 6.12% 30.1 245s
21019 3317 0.69568 24 216 0.65559 0.69568 6.12% 32.0 252s
21021 3315 infeasible 25 0.65559 0.69568 6.12% 32.0 256s
21025 3314 0.69568 26 218 0.65559 0.69568 6.12% 32.0 260s
21088 3327 0.67723 38 175 0.65559 0.69568 6.12% 32.4 265s
H21306 3175 0.6555882 0.69568 6.12% 33.1 269s
H21314 3014 0.6555882 0.69568 6.12% 33.1 269s
21329 3010 infeasible 32 0.65559 0.69568 6.12% 33.2 270s
21798 3038 0.69568 36 189 0.65559 0.69568 6.12% 34.7 275s
22176 3099 0.69568 39 160 0.65559 0.69568 6.12% 36.0 280s
22617 3100 0.68847 63 117 0.65559 0.69568 6.12% 37.8 285s
23148 3096 0.65818 49 169 0.65559 0.69568 6.12% 39.8 290s
23482 3075 cutoff 46 0.65559 0.69568 6.12% 41.5 295s
23836 3022 0.66521 50 130 0.65559 0.69568 6.12% 43.2 300s
24383 2999 cutoff 49 0.65559 0.69568 6.12% 44.9 306s
24827 2953 cutoff 48 0.65559 0.69568 6.12% 46.5 311s
25383 2997 cutoff 43 0.65559 0.69568 6.12% 47.2 315s
26193 3085 0.65824 36 144 0.65559 0.69568 6.12% 48.3 322s
26201 3065 cutoff 39 0.65559 0.69568 6.12% 48.3 325s
27103 3083 0.67343 59 125 0.65559 0.69568 6.12% 49.8 331s
27490 3039 0.68071 37 153 0.65559 0.69568 6.12% 50.6 336s
28061 2971 cutoff 43 0.65559 0.69568 6.12% 51.9 341s
28646 2912 0.68871 41 150 0.65559 0.69538 6.07% 53.2 346s
29258 2828 0.68486 33 186 0.65559 0.69470 5.97% 54.5 352s
29658 2826 0.66049 63 119 0.65559 0.69426 5.90% 55.1 355s
30326 2863 0.66160 68 97 0.65559 0.69336 5.76% 56.7 362s
30795 2975 0.66340 54 139 0.65559 0.69258 5.64% 57.4 365s
31507 3064 0.67436 40 184 0.65559 0.69139 5.46% 58.9 373s
31995 3169 cutoff 43 0.65559 0.69094 5.39% 59.4 377s
32512 3302 0.67779 64 110 0.65559 0.69020 5.28% 59.9 380s
33504 3518 0.68681 52 132 0.65559 0.68893 5.09% 61.0 387s
33991 3623 0.66753 68 132 0.65559 0.68836 5.00% 61.6 391s
34370 3738 0.67112 39 178 0.65559 0.68777 4.91% 62.3 395s
34923 3777 0.66084 54 142 0.65559 0.68691 4.78% 62.9 402s
35362 3824 0.67353 61 109 0.65559 0.68640 4.70% 63.7 406s
36248 3988 0.66099 50 147 0.65559 0.68526 4.53% 64.6 412s
36607 4016 cutoff 56 0.65559 0.68471 4.44% 65.3 416s
36992 4076 0.65684 37 154 0.65559 0.68427 4.37% 65.8 420s
37834 4162 cutoff 52 0.65559 0.68304 4.19% 67.0 427s
38257 4216 0.66306 40 145 0.65559 0.68263 4.12% 67.5 430s
39145 4310 0.65978 61 133 0.65559 0.68171 3.99% 68.4 437s
39523 4344 cutoff 57 0.65559 0.68113 3.90% 68.9 441s
40486 4436 cutoff 51 0.65559 0.68005 3.73% 69.7 448s
40899 4449 0.67747 58 120 0.65559 0.67964 3.67% 70.2 451s
41467 4493 cutoff 56 0.65559 0.67918 3.60% 70.5 455s
42528 4610 cutoff 60 0.65559 0.67807 3.43% 70.9 461s
43626 4723 0.67107 45 129 0.65559 0.67714 3.29% 71.1 468s
44173 4818 0.66846 46 150 0.65559 0.67668 3.22% 71.2 471s
45161 4917 0.65879 49 130 0.65559 0.67615 3.14% 71.6 477s
45653 5011 cutoff 42 0.65559 0.67583 3.09% 71.6 480s
46370 5228 0.67282 78 91 0.65559 0.67540 3.02% 71.4 487s
46600 5201 0.66764 77 111 0.65559 0.67538 3.02% 71.4 490s
47519 5296 0.66280 62 127 0.65559 0.67467 2.91% 71.6 495s
48345 5317 cutoff 70 0.65559 0.67395 2.80% 72.0 501s
49267 5412 0.66833 66 100 0.65559 0.67328 2.70% 72.1 506s
50144 5485 cutoff 79 0.65559 0.67281 2.63% 72.2 512s
50588 5483 infeasible 54 0.65559 0.67246 2.57% 72.4 515s
51451 5507 cutoff 68 0.65559 0.67210 2.52% 72.4 520s
52312 5524 0.66582 74 115 0.65559 0.67146 2.42% 72.7 526s
53238 5622 0.67017 54 140 0.65559 0.67137 2.41% 72.8 531s
54189 5721 infeasible 63 0.65559 0.67076 2.31% 72.6 537s
54710 5815 0.66841 62 97 0.65559 0.67041 2.26% 72.5 540s
55803 5957 cutoff 77 0.65559 0.67009 2.21% 72.3 545s
56688 5999 cutoff 53 0.65559 0.66974 2.16% 72.2 550s
57473 5994 0.66944 94 67 0.65559 0.66944 2.11% 72.1 555s
58760 6092 cutoff 78 0.65559 0.66880 2.02% 71.9 561s
59721 6157 cutoff 75 0.65559 0.66848 1.97% 71.7 566s
60526 6126 cutoff 68 0.65559 0.66816 1.92% 71.7 570s
61464 6039 cutoff 65 0.65559 0.66768 1.84% 71.7 576s
62233 6060 0.66687 76 109 0.65559 0.66737 1.80% 71.6 581s
62929 6017 0.66427 62 120 0.65559 0.66710 1.76% 71.6 586s
63780 6017 cutoff 76 0.65559 0.66676 1.70% 71.4 590s
64849 6000 cutoff 83 0.65559 0.66646 1.66% 71.3 595s
65879 6000 0.66561 80 103 0.65559 0.66599 1.59% 71.1 600s
Cutting planes:
Gomory: 185
Cover: 9
Implied bound: 74
Projected implied bound: 68
Clique: 1
MIR: 252
StrongCG: 2
Flow cover: 761
Inf proof: 202
Zero half: 1
Explored 65968 nodes (4693303 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.655588 0.655588 0.655588
Time limit reached
Best objective 6.555882398090e-01, best bound 6.659451443770e-01, gap 1.5798%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 46
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpyfr2rm1d.pyomo.lp
Reading time = 0.01 seconds
x1715: 2123 rows, 1528 columns, 6997 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxe4x0x4y.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2123 rows, 1528 columns and 6997 nonzeros
Variable types: 973 continuous, 555 integer (552 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.652662
Presolve removed 704 rows and 456 columns
Presolve time: 0.03s
Presolved: 1419 rows, 1072 columns, 5022 nonzeros
Variable types: 574 continuous, 498 integer (493 binary)
Root relaxation: objective 9.125146e-01, 1045 iterations, 0.02 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.91251 0 120 0.65266 0.91251 39.8% - 0s
0 0 0.85545 0 124 0.65266 0.85545 31.1% - 0s
0 0 0.85545 0 124 0.65266 0.85545 31.1% - 0s
0 0 0.85367 0 129 0.65266 0.85367 30.8% - 0s
0 0 0.85363 0 126 0.65266 0.85363 30.8% - 0s
0 0 0.84483 0 136 0.65266 0.84483 29.4% - 0s
0 0 0.84444 0 137 0.65266 0.84444 29.4% - 0s
0 0 0.84442 0 138 0.65266 0.84442 29.4% - 0s
0 0 0.84433 0 136 0.65266 0.84433 29.4% - 0s
0 0 0.84433 0 136 0.65266 0.84433 29.4% - 0s
0 0 0.84433 0 116 0.65266 0.84433 29.4% - 0s
0 2 0.84433 0 114 0.65266 0.84433 29.4% - 0s
942 611 0.69647 66 100 0.65266 0.79516 21.8% 23.1 5s
H 2379 713 0.6526624 0.77319 18.5% 29.1 9s
2471 762 infeasible 22 0.65266 0.77258 18.4% 29.1 10s
4696 1257 0.67511 33 121 0.65266 0.74244 13.8% 29.5 15s
7461 1813 cutoff 34 0.65266 0.72268 10.7% 28.3 20s
9982 2333 0.70492 33 103 0.65266 0.71650 9.78% 26.6 25s
13244 2926 0.67624 34 126 0.65266 0.70871 8.59% 25.4 30s
15686 3429 0.69615 31 112 0.65266 0.70514 8.04% 24.7 35s
18584 3973 0.70117 47 99 0.65266 0.70117 7.43% 24.2 40s
21003 4562 0.66126 67 116 0.65266 0.69832 7.00% 23.6 58s
21011 4567 0.66401 42 207 0.65266 0.69832 7.00% 23.6 60s
21018 4572 0.67763 40 178 0.65266 0.69832 7.00% 23.6 65s
21023 4575 0.68841 33 187 0.65266 0.69832 7.00% 23.6 70s
21029 4579 0.69455 33 194 0.65266 0.69832 7.00% 23.6 75s
21034 4583 0.68289 47 210 0.65266 0.69832 7.00% 23.6 80s
21042 4588 0.69313 47 208 0.65266 0.69832 7.00% 23.6 85s
21048 4592 0.66561 50 210 0.65266 0.69832 7.00% 23.6 90s
21054 4596 0.67847 66 217 0.65266 0.69832 7.00% 23.6 96s
21059 4599 0.68596 39 211 0.65266 0.69832 7.00% 23.6 100s
21067 4605 0.66649 59 220 0.65266 0.69832 7.00% 23.6 105s
21074 4609 0.69112 35 222 0.65266 0.69832 7.00% 23.6 111s
21079 4613 0.67122 62 222 0.65266 0.69832 7.00% 23.6 115s
21085 4617 0.67888 38 202 0.65266 0.69832 7.00% 23.5 120s
21091 4621 0.69117 39 212 0.65266 0.69832 7.00% 23.5 126s
21095 4623 0.68101 39 225 0.65266 0.69832 7.00% 23.5 130s
21100 4627 0.67712 80 224 0.65266 0.69832 7.00% 23.5 135s
21106 4631 0.66930 65 212 0.65266 0.69832 7.00% 23.5 141s
21110 4633 0.68252 40 219 0.65266 0.69832 7.00% 23.5 145s
21115 4637 0.65977 64 220 0.65266 0.69832 7.00% 23.5 150s
21122 4641 0.67994 54 218 0.65266 0.69832 7.00% 23.5 155s
21126 4644 0.68158 61 204 0.65266 0.69832 7.00% 23.5 160s
21131 4647 0.68231 86 208 0.65266 0.69832 7.00% 23.5 165s
21135 4650 0.68728 77 212 0.65266 0.69832 7.00% 23.5 170s
21139 4653 0.66424 41 218 0.65266 0.69832 7.00% 23.5 175s
21144 4656 0.67639 41 219 0.65266 0.69832 7.00% 23.5 180s
21147 4658 0.66679 43 216 0.65266 0.69832 7.00% 23.5 185s
21154 4663 0.67847 66 229 0.65266 0.69832 7.00% 23.5 190s
21160 4667 0.68901 47 224 0.65266 0.69832 7.00% 23.5 195s
21168 4672 0.66606 50 221 0.65266 0.69832 7.00% 23.5 200s
21175 4677 0.68020 37 215 0.65266 0.69832 7.00% 23.4 206s
21179 4679 0.67122 62 223 0.65266 0.69832 7.00% 23.4 210s
21185 4683 0.67888 38 216 0.65266 0.69832 7.00% 23.4 215s
21189 4686 0.65754 40 219 0.65266 0.69832 7.00% 23.4 220s
21195 4690 0.68101 39 218 0.65266 0.69832 7.00% 23.4 225s
21200 4696 0.69832 20 202 0.65266 0.69832 7.00% 25.3 233s
21202 4698 0.69832 21 213 0.65266 0.69832 7.00% 25.3 238s
21222 4707 0.69832 24 212 0.65266 0.69832 7.00% 25.4 240s
21419 4718 0.69832 29 194 0.65266 0.69832 7.00% 25.8 245s
21892 4847 0.69832 27 205 0.65266 0.69832 7.00% 26.9 250s
22290 4909 0.69832 28 194 0.65266 0.69832 7.00% 28.3 255s
22967 5055 0.67400 37 166 0.65266 0.69832 7.00% 29.4 260s
23466 5105 0.68742 35 183 0.65266 0.69832 7.00% 31.2 266s
23832 5092 0.67881 43 158 0.65266 0.69832 7.00% 32.5 270s
24361 5146 0.67933 36 173 0.65266 0.69832 7.00% 33.6 275s
24766 5143 0.67105 33 169 0.65266 0.69832 7.00% 35.0 281s
25160 5135 cutoff 35 0.65266 0.69832 7.00% 36.6 286s
25691 5123 0.66776 32 181 0.65266 0.69832 7.00% 38.2 291s
26246 5146 0.68980 34 191 0.65266 0.69832 7.00% 39.6 298s
26327 5155 0.69085 36 184 0.65266 0.69832 7.00% 39.8 300s
27061 5145 0.67972 38 156 0.65266 0.69832 7.00% 41.7 307s
27276 5179 0.69832 31 183 0.65266 0.69832 7.00% 42.1 310s
27876 5235 0.69502 37 185 0.65266 0.69832 7.00% 43.3 315s
28374 5192 cutoff 38 0.65266 0.69832 7.00% 44.8 321s
29013 5176 0.68594 39 174 0.65266 0.69832 7.00% 46.3 327s
29263 5173 0.66885 43 156 0.65266 0.69832 7.00% 46.9 330s
29795 5196 0.66988 39 154 0.65266 0.69832 7.00% 48.1 337s
30222 5212 0.68682 52 134 0.65266 0.69832 7.00% 48.7 341s
30568 5201 0.67614 33 181 0.65266 0.69832 7.00% 49.6 345s
31242 5149 0.65825 49 153 0.65266 0.69832 7.00% 50.8 353s
31654 5138 0.67550 46 113 0.65266 0.69832 7.00% 51.7 357s
32082 5137 0.67354 44 162 0.65266 0.69832 7.00% 52.4 361s
32528 5144 cutoff 42 0.65266 0.69832 7.00% 53.1 365s
33037 5082 0.67359 37 194 0.65266 0.69832 7.00% 54.3 372s
33468 5029 cutoff 46 0.65266 0.69832 7.00% 55.1 376s
33948 5015 cutoff 37 0.65266 0.69832 7.00% 55.7 380s
34758 4961 0.65755 31 202 0.65266 0.69832 7.00% 57.0 388s
35105 4943 0.66230 42 161 0.65266 0.69832 7.00% 57.7 392s
35536 5006 0.67752 47 151 0.65266 0.69832 7.00% 58.4 396s
35976 5107 0.68091 43 166 0.65266 0.69832 7.00% 59.0 400s
36798 5326 0.65957 34 173 0.65266 0.69805 6.95% 60.2 407s
37114 5358 cutoff 39 0.65266 0.69780 6.92% 60.8 411s
37459 5430 0.65424 29 187 0.65266 0.69764 6.89% 61.5 415s
38130 5559 cutoff 49 0.65266 0.69732 6.84% 62.8 423s
38452 5621 cutoff 44 0.65266 0.69706 6.80% 63.6 432s
38608 5621 cutoff 36 0.65266 0.69698 6.79% 63.8 436s
39077 5710 0.66027 43 166 0.65266 0.69665 6.74% 64.3 440s
39804 5889 0.67359 37 149 0.65266 0.69603 6.64% 65.7 448s
40058 5929 0.69376 46 152 0.65266 0.69581 6.61% 66.1 452s
40500 6057 cutoff 41 0.65266 0.69558 6.58% 66.6 457s
40905 6174 0.65697 42 170 0.65266 0.69542 6.55% 67.1 461s
41232 6251 cutoff 45 0.65266 0.69517 6.51% 67.7 465s
42123 6470 0.67244 44 170 0.65266 0.69466 6.43% 68.7 473s
42464 6507 0.67486 63 107 0.65266 0.69432 6.38% 69.3 478s
42882 6592 0.66612 40 164 0.65266 0.69404 6.34% 69.8 482s
43350 6720 cutoff 45 0.65266 0.69389 6.32% 70.1 487s
43854 6828 0.66105 32 168 0.65266 0.69362 6.28% 70.5 491s
44185 6867 0.66771 37 189 0.65266 0.69341 6.24% 71.1 495s
44932 6992 0.66123 53 136 0.65266 0.69302 6.18% 72.1 503s
45391 7114 0.67838 47 158 0.65266 0.69287 6.16% 72.5 507s
45765 7167 0.68239 34 185 0.65266 0.69261 6.12% 73.0 511s
46116 7204 0.65769 48 131 0.65266 0.69239 6.09% 73.5 516s
46494 7242 0.68391 33 201 0.65266 0.69206 6.04% 74.0 520s
47317 7396 0.65581 37 170 0.65266 0.69158 5.96% 74.8 528s
47728 7443 0.67886 48 159 0.65266 0.69136 5.93% 75.2 532s
48152 7558 0.68295 35 171 0.65266 0.69124 5.91% 75.5 537s
48532 7606 cutoff 45 0.65266 0.69106 5.88% 75.9 541s
48935 7665 0.68210 49 146 0.65266 0.69085 5.85% 76.3 545s
49713 7804 0.67586 51 132 0.65266 0.69053 5.80% 77.2 554s
50188 7927 infeasible 51 0.65266 0.69038 5.78% 77.4 558s
50621 8014 cutoff 38 0.65266 0.69020 5.75% 77.7 563s
51032 8091 0.68258 36 164 0.65266 0.69005 5.73% 78.0 567s
51364 8132 cutoff 38 0.65266 0.68988 5.70% 78.3 571s
51761 8204 0.68316 37 180 0.65266 0.68968 5.67% 78.7 575s
52532 8368 cutoff 35 0.65266 0.68944 5.63% 79.4 583s
52914 8437 cutoff 44 0.65266 0.68926 5.61% 79.7 588s
53355 8542 0.67684 53 148 0.65266 0.68914 5.59% 80.0 592s
53716 8603 cutoff 30 0.65266 0.68897 5.56% 80.4 596s
54055 8649 infeasible 39 0.65266 0.68879 5.53% 80.8 600s
Cutting planes:
Gomory: 206
Cover: 12
Implied bound: 72
Projected implied bound: 84
Clique: 1
MIR: 212
StrongCG: 2
Flow cover: 782
Inf proof: 157
Zero half: 4
Explored 54371 nodes (4410109 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.652662 0.652662
Time limit reached
Best objective 6.526623774440e-01, best bound 6.886930853066e-01, gap 5.5206%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 47
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp1sih2fa_.pyomo.lp
Reading time = 0.02 seconds
x1752: 2169 rows, 1561 columns, 7150 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpdakymkwm.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2169 rows, 1561 columns and 7150 nonzeros
Variable types: 994 continuous, 567 integer (564 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.646969
Presolve removed 718 rows and 465 columns
Presolve time: 0.03s
Presolved: 1451 rows, 1096 columns, 5136 nonzeros
Variable types: 587 continuous, 509 integer (504 binary)
Root relaxation: objective 9.048358e-01, 1086 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90484 0 124 0.64697 0.90484 39.9% - 0s
0 0 0.84072 0 120 0.64697 0.84072 29.9% - 0s
0 0 0.84072 0 120 0.64697 0.84072 29.9% - 0s
0 0 0.83973 0 122 0.64697 0.83973 29.8% - 0s
0 0 0.83924 0 125 0.64697 0.83924 29.7% - 0s
0 0 0.83917 0 129 0.64697 0.83917 29.7% - 0s
0 0 0.83917 0 131 0.64697 0.83917 29.7% - 0s
0 0 0.83917 0 132 0.64697 0.83917 29.7% - 0s
0 0 0.83917 0 112 0.64697 0.83917 29.7% - 0s
0 2 0.83917 0 111 0.64697 0.83917 29.7% - 0s
806 549 infeasible 24 0.64697 0.80062 23.7% 25.7 5s
2682 936 0.71390 39 114 0.64697 0.76796 18.7% 30.6 11s
4131 1345 infeasible 36 0.64697 0.75032 16.0% 31.9 15s
6199 1996 0.72997 35 125 0.64697 0.73830 14.1% 31.2 20s
9024 2900 0.67606 38 118 0.64697 0.73054 12.9% 30.0 25s
10285 3218 0.72194 38 125 0.64697 0.72704 12.4% 30.0 30s
12553 3824 0.66734 40 117 0.64697 0.72198 11.6% 30.4 35s
13970 4094 0.70164 42 109 0.64697 0.71944 11.2% 30.7 40s
15968 4378 cutoff 37 0.64697 0.71563 10.6% 31.5 45s
17763 4632 0.69116 43 118 0.64697 0.71289 10.2% 31.8 50s
19958 4894 cutoff 62 0.64697 0.70999 9.74% 32.3 55s
20661 4955 cutoff 55 0.64697 0.70920 9.62% 32.6 70s
21819 5037 0.65331 32 119 0.64697 0.70747 9.35% 33.5 75s
23403 5134 0.68580 45 111 0.64697 0.70519 9.00% 34.5 81s
24882 5330 infeasible 44 0.64697 0.70368 8.77% 34.9 85s
26516 5433 cutoff 41 0.64697 0.70176 8.47% 35.8 90s
28273 5572 0.67445 43 129 0.64697 0.69945 8.11% 36.5 95s
29652 5627 0.64767 39 113 0.64697 0.69724 7.77% 37.1 100s
31537 5775 0.67743 71 115 0.64697 0.69472 7.38% 37.7 106s
33138 5960 cutoff 41 0.64697 0.69300 7.12% 38.0 110s
34608 6011 0.69009 34 123 0.64697 0.69106 6.81% 38.3 115s
36717 6242 infeasible 41 0.64697 0.68903 6.50% 38.4 121s
38453 6420 0.64832 77 105 0.64697 0.68738 6.25% 38.3 125s
40708 6950 0.67042 34 124 0.64697 0.68591 6.02% 37.7 130s
43303 7344 cutoff 37 0.64697 0.68419 5.75% 37.3 135s
45019 7470 cutoff 35 0.64697 0.68318 5.60% 37.1 140s
47532 7926 cutoff 43 0.64697 0.68169 5.37% 36.6 145s
49812 8338 cutoff 65 0.64697 0.68081 5.23% 36.3 150s
51158 8611 0.67707 78 101 0.64697 0.68021 5.14% 36.2 155s
53140 8873 cutoff 48 0.64697 0.67933 5.00% 36.0 160s
55556 9284 0.66265 45 122 0.64697 0.67851 4.88% 35.7 165s
58311 10039 cutoff 68 0.64697 0.67784 4.77% 35.1 170s
61175 10633 0.65142 96 77 0.64697 0.67699 4.64% 34.7 175s
64422 11439 0.66223 94 77 0.64697 0.67633 4.54% 34.0 180s
67464 12008 0.66818 92 88 0.64697 0.67552 4.41% 33.7 185s
69788 12402 0.65543 48 108 0.64697 0.67492 4.32% 33.6 190s
72480 12937 0.66612 104 72 0.64697 0.67440 4.24% 33.3 195s
74910 13511 0.65494 109 67 0.64697 0.67404 4.18% 33.0 200s
77782 14030 infeasible 40 0.64697 0.67341 4.09% 32.8 206s
79428 14208 0.65900 59 114 0.64697 0.67306 4.03% 32.7 210s
82150 14637 cutoff 75 0.64697 0.67242 3.93% 32.6 215s
84560 14939 0.66937 87 100 0.64697 0.67182 3.84% 32.5 220s
86604 15037 0.66612 55 121 0.64697 0.67120 3.74% 32.5 225s
88808 15173 0.65486 46 150 0.64697 0.67071 3.67% 32.5 230s
91410 15486 0.66616 50 123 0.64697 0.67012 3.58% 32.4 235s
92818 15592 0.65330 104 84 0.64697 0.66978 3.53% 32.5 240s
95111 15717 cutoff 59 0.64697 0.66939 3.47% 32.5 245s
97121 15827 0.65640 108 95 0.64697 0.66899 3.40% 32.4 250s
99612 15952 0.65008 99 94 0.64697 0.66851 3.33% 32.4 255s
101698 16072 cutoff 89 0.64697 0.66818 3.28% 32.4 260s
103824 16129 0.66657 90 112 0.64697 0.66781 3.22% 32.4 265s
106420 16231 0.64792 103 82 0.64697 0.66733 3.15% 32.4 270s
108511 16269 cutoff 83 0.64697 0.66695 3.09% 32.4 275s
110675 16366 0.65328 84 114 0.64697 0.66662 3.04% 32.4 280s
112730 16331 0.65000 58 110 0.64697 0.66621 2.97% 32.4 285s
115040 16394 infeasible 93 0.64697 0.66586 2.92% 32.4 290s
117784 16437 cutoff 62 0.64697 0.66544 2.86% 32.4 295s
119746 16432 0.65612 43 139 0.64697 0.66513 2.81% 32.4 300s
122213 16467 0.65338 107 94 0.64697 0.66466 2.73% 32.4 305s
H122726 16562 0.6469692 0.66462 2.73% 32.4 308s
123080 16486 infeasible 111 0.64697 0.66452 2.71% 32.4 310s
125203 16512 cutoff 133 0.64697 0.66419 2.66% 32.4 315s
127236 16419 0.65636 103 83 0.64697 0.66380 2.60% 32.5 320s
128859 16367 0.66234 82 116 0.64697 0.66351 2.56% 32.5 325s
130935 16322 cutoff 106 0.64697 0.66312 2.50% 32.5 330s
132937 16232 cutoff 132 0.64697 0.66274 2.44% 32.6 335s
135097 16123 cutoff 85 0.64697 0.66232 2.37% 32.6 340s
137231 16100 0.65621 61 112 0.64697 0.66197 2.32% 32.6 345s
139117 16006 infeasible 75 0.64697 0.66160 2.26% 32.6 350s
141302 15928 cutoff 61 0.64697 0.66125 2.21% 32.6 355s
143294 15831 cutoff 73 0.64697 0.66088 2.15% 32.6 360s
145430 15786 0.65979 132 42 0.64697 0.66056 2.10% 32.6 365s
147841 15638 cutoff 40 0.64697 0.66017 2.04% 32.5 370s
149569 15446 cutoff 45 0.64697 0.65984 1.99% 32.6 375s
151969 15307 infeasible 122 0.64697 0.65949 1.93% 32.6 380s
153690 15121 0.65822 109 88 0.64697 0.65919 1.89% 32.6 385s
155819 15035 0.65808 72 112 0.64697 0.65886 1.84% 32.5 390s
157783 14967 cutoff 57 0.64697 0.65856 1.79% 32.5 395s
158687 14913 0.65207 122 72 0.64697 0.65844 1.77% 32.4 400s
160987 14758 cutoff 102 0.64697 0.65806 1.71% 32.4 405s
163148 14707 0.65341 76 113 0.64697 0.65781 1.68% 32.3 410s
165512 14542 cutoff 66 0.64697 0.65748 1.62% 32.3 415s
167447 14421 0.65687 101 67 0.64697 0.65719 1.58% 32.2 420s
169931 14347 0.65207 107 92 0.64697 0.65688 1.53% 32.1 425s
172347 14181 0.65657 107 95 0.64697 0.65657 1.48% 32.0 430s
174658 14000 0.65620 81 81 0.64697 0.65628 1.44% 32.0 435s
176722 13874 0.65376 106 80 0.64697 0.65607 1.41% 31.9 440s
178857 13741 0.65585 101 102 0.64697 0.65585 1.37% 31.9 445s
181024 13480 0.65251 89 102 0.64697 0.65558 1.33% 31.8 450s
183402 13147 cutoff 75 0.64697 0.65536 1.30% 31.8 455s
185307 12843 cutoff 57 0.64697 0.65503 1.25% 31.7 460s
187552 12495 cutoff 92 0.64697 0.65473 1.20% 31.7 465s
189649 12228 0.65013 75 129 0.64697 0.65448 1.16% 31.6 470s
192292 11783 0.65094 47 122 0.64697 0.65414 1.11% 31.5 475s
194674 11381 cutoff 118 0.64697 0.65385 1.06% 31.5 480s
196873 10986 cutoff 108 0.64697 0.65356 1.02% 31.4 485s
Cutting planes:
Learned: 1
Gomory: 160
Cover: 5
Implied bound: 103
Projected implied bound: 65
MIR: 27
Flow cover: 178
Inf proof: 615
Explored 198124 nodes (6219614 simplex iterations) in 487.61 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.646969 0.646969
Optimal solution found (tolerance 1.00e-02)
Best objective 6.469692425570e-01, best bound 6.534096389843e-01, gap 0.9955%
*******************************************
Period: 48
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmppn1j5kaz.pyomo.lp
Reading time = 0.02 seconds
x1789: 2215 rows, 1594 columns, 7303 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp0sfvhfsn.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2215 rows, 1594 columns and 7303 nonzeros
Variable types: 1015 continuous, 579 integer (576 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.644899
Presolve removed 732 rows and 474 columns
Presolve time: 0.04s
Presolved: 1483 rows, 1120 columns, 5250 nonzeros
Variable types: 600 continuous, 520 integer (515 binary)
Root relaxation: objective 9.008183e-01, 1146 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.90082 0 125 0.64490 0.90082 39.7% - 0s
0 0 0.83777 0 120 0.64490 0.83777 29.9% - 0s
0 0 0.83775 0 123 0.64490 0.83775 29.9% - 0s
0 0 0.83705 0 139 0.64490 0.83705 29.8% - 0s
0 0 0.83703 0 141 0.64490 0.83703 29.8% - 0s
0 0 0.82773 0 143 0.64490 0.82773 28.3% - 0s
0 0 0.82768 0 143 0.64490 0.82768 28.3% - 0s
0 0 0.82749 0 151 0.64490 0.82749 28.3% - 0s
0 0 0.82749 0 134 0.64490 0.82749 28.3% - 0s
0 2 0.82749 0 133 0.64490 0.82749 28.3% - 0s
830 552 0.79289 20 136 0.64490 0.79289 22.9% 28.2 5s
2637 1020 cutoff 28 0.64490 0.76081 18.0% 25.5 10s
4868 2129 0.70810 31 129 0.64490 0.74519 15.6% 26.6 15s
H 5257 2297 0.6448994 0.74266 15.2% 26.5 17s
6573 2884 0.72200 33 126 0.64490 0.73745 14.4% 26.3 20s
8216 3420 cutoff 40 0.64490 0.73119 13.4% 26.5 25s
10190 3972 cutoff 38 0.64490 0.72647 12.6% 27.2 30s
12252 4566 0.66847 48 112 0.64490 0.72297 12.1% 28.2 35s
14567 5095 0.68037 49 126 0.64490 0.71848 11.4% 28.5 40s
16941 5648 0.67788 31 123 0.64490 0.71476 10.8% 28.7 45s
18457 5898 0.66214 36 123 0.64490 0.71264 10.5% 29.1 50s
20519 6336 infeasible 35 0.64490 0.71054 10.2% 29.1 55s
20867 6382 cutoff 44 0.64490 0.71006 10.1% 29.3 70s
22801 6586 0.66638 46 128 0.64490 0.70704 9.64% 30.1 76s
24541 6788 cutoff 37 0.64490 0.70457 9.25% 30.6 80s
26346 6998 0.66706 47 117 0.64490 0.70212 8.87% 31.3 85s
28016 7182 0.64534 42 129 0.64490 0.70020 8.58% 31.9 90s
29697 7261 infeasible 49 0.64490 0.69766 8.18% 32.7 95s
31407 7516 0.65676 44 122 0.64490 0.69601 7.92% 33.2 100s
33234 7709 0.65291 54 109 0.64490 0.69404 7.62% 33.7 105s
35166 7947 infeasible 46 0.64490 0.69206 7.31% 34.0 110s
37081 8109 0.68504 44 116 0.64490 0.69020 7.02% 34.5 115s
37852 8221 0.65366 41 123 0.64490 0.68942 6.90% 34.6 120s
39487 8453 cutoff 40 0.64490 0.68795 6.68% 34.7 125s
41509 8741 infeasible 45 0.64490 0.68656 6.46% 34.8 130s
43172 8967 0.65771 60 111 0.64490 0.68529 6.26% 34.8 135s
45331 9342 cutoff 31 0.64490 0.68400 6.06% 34.9 140s
47710 9818 0.65920 42 110 0.64490 0.68264 5.85% 34.7 145s
49694 10032 0.64605 39 133 0.64490 0.68164 5.70% 34.9 150s
51145 10210 infeasible 40 0.64490 0.68073 5.56% 35.0 155s
53159 10487 0.67401 55 109 0.64490 0.67987 5.42% 35.0 160s
55558 10879 0.65306 41 132 0.64490 0.67900 5.29% 34.9 165s
57088 11053 0.66530 47 122 0.64490 0.67834 5.19% 35.0 170s
59045 11327 0.66977 52 119 0.64490 0.67771 5.09% 35.0 175s
61156 11716 0.66543 57 125 0.64490 0.67700 4.98% 35.0 180s
62674 11920 0.65253 62 87 0.64490 0.67644 4.89% 35.1 185s
64974 12307 cutoff 60 0.64490 0.67583 4.80% 34.9 190s
66888 12561 0.65050 67 85 0.64490 0.67526 4.71% 35.0 195s
68314 12628 0.66113 77 87 0.64490 0.67471 4.62% 35.1 200s
69505 12794 cutoff 51 0.64490 0.67438 4.57% 35.2 205s
70891 12883 0.65336 52 138 0.64490 0.67399 4.51% 35.3 210s
72893 13013 cutoff 49 0.64490 0.67339 4.42% 35.4 215s
74350 13136 cutoff 39 0.64490 0.67292 4.34% 35.5 220s
H74351 13136 0.6448994 0.67292 4.34% 35.5 220s
75559 13317 0.66818 52 105 0.64490 0.67265 4.30% 35.5 226s
77085 13481 0.66111 69 104 0.64490 0.67218 4.23% 35.6 230s
78690 13701 0.66975 58 126 0.64490 0.67185 4.18% 35.6 235s
80717 13979 cutoff 32 0.64490 0.67133 4.10% 35.6 241s
82297 14082 0.64890 55 145 0.64490 0.67090 4.03% 35.7 245s
84084 14316 cutoff 45 0.64490 0.67055 3.98% 35.7 250s
85610 14413 infeasible 75 0.64490 0.67026 3.93% 35.8 255s
87581 14500 infeasible 50 0.64490 0.66972 3.85% 35.9 260s
89175 14578 cutoff 47 0.64490 0.66929 3.78% 36.0 265s
90814 14750 0.65008 57 111 0.64490 0.66892 3.73% 36.1 270s
92484 14995 0.64919 53 117 0.64490 0.66859 3.67% 36.1 275s
94160 15156 0.64831 80 100 0.64490 0.66828 3.62% 36.2 280s
95753 15317 cutoff 47 0.64490 0.66798 3.58% 36.2 285s
97653 15596 cutoff 45 0.64490 0.66771 3.54% 36.2 290s
99350 15795 cutoff 45 0.64490 0.66747 3.50% 36.3 295s
100917 15998 cutoff 64 0.64490 0.66723 3.46% 36.3 300s
102759 16194 cutoff 50 0.64490 0.66696 3.42% 36.3 305s
104443 16351 0.65450 62 116 0.64490 0.66666 3.37% 36.3 310s
106290 16601 0.65989 52 123 0.64490 0.66642 3.34% 36.3 315s
107965 16751 0.66030 51 115 0.64490 0.66620 3.30% 36.4 321s
109194 16837 0.66233 47 119 0.64490 0.66605 3.28% 36.5 325s
110859 16880 0.65974 49 152 0.64490 0.66579 3.24% 36.6 330s
112456 16926 0.65361 85 98 0.64490 0.66557 3.20% 36.7 335s
114165 17051 0.65966 47 157 0.64490 0.66530 3.16% 36.7 340s
115971 17256 0.65661 54 109 0.64490 0.66506 3.13% 36.8 347s
116495 17206 cutoff 51 0.64490 0.66498 3.11% 36.8 350s
118240 17309 0.65997 108 85 0.64490 0.66472 3.07% 36.8 355s
120008 17489 0.65180 52 139 0.64490 0.66450 3.04% 36.8 360s
121730 17617 cutoff 45 0.64490 0.66429 3.01% 36.9 365s
123490 17746 0.66178 57 117 0.64490 0.66399 2.96% 36.9 370s
125329 17910 cutoff 57 0.64490 0.66371 2.92% 36.9 375s
126944 18017 cutoff 55 0.64490 0.66349 2.88% 37.0 380s
128813 18188 cutoff 54 0.64490 0.66328 2.85% 37.0 385s
130741 18448 cutoff 50 0.64490 0.66307 2.82% 36.9 391s
132398 18515 cutoff 53 0.64490 0.66279 2.77% 37.0 396s
133787 18648 0.65924 57 108 0.64490 0.66266 2.75% 37.0 400s
135764 18850 infeasible 71 0.64490 0.66243 2.72% 37.0 405s
137636 19187 0.65316 56 121 0.64490 0.66227 2.69% 36.9 410s
139758 19556 cutoff 112 0.64490 0.66210 2.67% 36.8 415s
141123 19786 cutoff 49 0.64490 0.66197 2.65% 36.8 421s
142456 19752 0.64575 55 122 0.64490 0.66179 2.62% 36.8 426s
143883 19966 0.66157 46 138 0.64490 0.66163 2.59% 36.8 430s
145149 19985 0.65802 58 136 0.64490 0.66146 2.57% 36.9 435s
147078 20212 0.66090 80 91 0.64490 0.66125 2.54% 36.9 440s
148473 20259 cutoff 50 0.64490 0.66107 2.51% 36.9 445s
150279 20402 cutoff 57 0.64490 0.66086 2.48% 36.9 450s
152386 20657 cutoff 69 0.64490 0.66065 2.44% 36.8 455s
154176 20762 0.65353 50 129 0.64490 0.66044 2.41% 36.9 460s
156203 21054 cutoff 74 0.64490 0.66027 2.38% 36.8 465s
158077 21310 0.65338 47 170 0.64490 0.66009 2.36% 36.8 470s
159858 21367 0.64891 59 95 0.64490 0.65990 2.33% 36.8 475s
161623 21575 cutoff 72 0.64490 0.65972 2.30% 36.8 480s
163668 21934 0.65165 68 96 0.64490 0.65952 2.27% 36.7 485s
165389 22077 cutoff 42 0.64490 0.65932 2.24% 36.7 490s
167111 22175 0.65864 76 91 0.64490 0.65914 2.21% 36.7 495s
169165 22263 cutoff 56 0.64490 0.65888 2.17% 36.8 501s
170426 22254 0.65178 144 51 0.64490 0.65873 2.14% 36.8 505s
172135 22356 cutoff 59 0.64490 0.65855 2.12% 36.8 510s
174072 22553 0.64988 56 124 0.64490 0.65843 2.10% 36.8 515s
175702 22627 cutoff 51 0.64490 0.65823 2.07% 36.8 520s
176161 22719 0.64681 50 140 0.64490 0.65819 2.06% 36.8 525s
177723 22791 cutoff 46 0.64490 0.65805 2.04% 36.7 530s
179439 22861 0.64634 70 126 0.64490 0.65789 2.01% 36.7 535s
181206 22901 cutoff 58 0.64490 0.65772 1.99% 36.7 540s
183016 22952 cutoff 58 0.64490 0.65756 1.96% 36.7 545s
184882 23062 0.65434 124 74 0.64490 0.65741 1.94% 36.7 551s
186247 23036 cutoff 61 0.64490 0.65730 1.92% 36.7 555s
188605 23234 cutoff 51 0.64490 0.65710 1.89% 36.6 561s
190439 23313 cutoff 60 0.64490 0.65692 1.86% 36.6 566s
191849 23399 infeasible 52 0.64490 0.65679 1.84% 36.6 570s
193697 23495 0.65148 86 93 0.64490 0.65664 1.82% 36.5 575s
195338 23635 0.64611 89 86 0.64490 0.65651 1.80% 36.5 580s
197164 23792 0.65510 50 142 0.64490 0.65635 1.78% 36.4 585s
199148 23995 0.64925 79 100 0.64490 0.65620 1.75% 36.3 590s
201277 24002 cutoff 66 0.64490 0.65599 1.72% 36.3 596s
202904 24009 0.64508 73 133 0.64490 0.65585 1.70% 36.3 600s
Cutting planes:
Gomory: 186
Cover: 1
Implied bound: 162
Projected implied bound: 82
Clique: 3
MIR: 27
Flow cover: 162
Inf proof: 586
Explored 202999 nodes (7372036 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.644899 0.644899 0.644899
Time limit reached
Best objective 6.448994040761e-01, best bound 6.558372874099e-01, gap 1.6961%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 49
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp377yvz5c.pyomo.lp
Reading time = 0.01 seconds
x1826: 2261 rows, 1627 columns, 7456 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpxypsm97t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2261 rows, 1627 columns and 7456 nonzeros
Variable types: 1036 continuous, 591 integer (588 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.642543
Presolve removed 746 rows and 483 columns
Presolve time: 0.03s
Presolved: 1515 rows, 1144 columns, 5364 nonzeros
Variable types: 613 continuous, 531 integer (526 binary)
Root relaxation: objective 8.957928e-01, 1113 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.89579 0 128 0.64254 0.89579 39.4% - 0s
0 0 0.83405 0 124 0.64254 0.83405 29.8% - 0s
0 0 0.83405 0 124 0.64254 0.83405 29.8% - 0s
0 0 0.83220 0 132 0.64254 0.83220 29.5% - 0s
0 0 0.83215 0 130 0.64254 0.83215 29.5% - 0s
0 0 0.83186 0 133 0.64254 0.83186 29.5% - 0s
0 0 0.83182 0 140 0.64254 0.83182 29.5% - 0s
0 0 0.83180 0 137 0.64254 0.83180 29.5% - 0s
0 0 0.83180 0 112 0.64254 0.83180 29.5% - 0s
0 2 0.83180 0 112 0.64254 0.83180 29.5% - 0s
800 552 0.75909 24 119 0.64254 0.79699 24.0% 30.5 5s
2304 814 0.71513 29 147 0.64254 0.77053 19.9% 30.5 10s
4430 1658 0.69596 46 109 0.64254 0.74550 16.0% 28.7 15s
6122 2182 0.64916 33 125 0.64254 0.73361 14.2% 28.3 20s
8226 2686 0.67343 43 100 0.64254 0.72213 12.4% 28.9 25s
10746 3305 0.64846 51 104 0.64254 0.71452 11.2% 28.7 30s
12921 3646 0.65800 37 106 0.64254 0.70774 10.1% 29.3 35s
14474 3810 0.66945 44 104 0.64254 0.70381 9.54% 29.6 40s
17238 4431 0.67733 35 120 0.64254 0.69858 8.72% 29.2 45s
19422 4821 0.68972 36 112 0.64254 0.69452 8.09% 29.0 50s
21005 5104 cutoff 48 0.64254 0.69168 7.65% 28.9 68s
21764 5233 0.66527 45 107 0.64254 0.69072 7.50% 29.0 70s
23851 5522 infeasible 48 0.64254 0.68849 7.15% 29.5 75s
26147 5851 cutoff 42 0.64254 0.68625 6.80% 29.7 80s
28412 6374 0.67211 49 93 0.64254 0.68457 6.54% 29.6 85s
30356 6696 0.65536 40 120 0.64254 0.68306 6.31% 29.9 90s
31565 6863 0.65584 40 109 0.64254 0.68210 6.16% 30.1 95s
33604 7147 0.66064 42 123 0.64254 0.68077 5.95% 30.1 100s
36009 7673 infeasible 47 0.64254 0.67954 5.76% 30.1 105s
39340 8633 0.65771 36 154 0.64254 0.67813 5.54% 29.5 110s
41987 9272 0.64967 50 115 0.64254 0.67699 5.36% 29.3 115s
44578 9871 0.65866 39 124 0.64254 0.67590 5.19% 29.1 120s
47216 10473 0.65885 67 96 0.64254 0.67491 5.04% 28.9 125s
50585 11446 0.65471 89 72 0.64254 0.67382 4.87% 28.5 130s
52869 11923 infeasible 61 0.64254 0.67310 4.76% 28.4 135s
55787 12572 cutoff 57 0.64254 0.67233 4.64% 28.1 141s
57464 13005 0.64332 46 123 0.64254 0.67192 4.57% 27.9 145s
60244 13648 0.64481 43 119 0.64254 0.67138 4.49% 27.7 150s
63066 14187 0.66653 68 79 0.64254 0.67074 4.39% 27.5 155s
65705 14881 cutoff 40 0.64254 0.67024 4.31% 27.4 160s
68278 15286 0.65807 93 92 0.64254 0.66962 4.21% 27.3 165s
70553 15639 cutoff 53 0.64254 0.66921 4.15% 27.3 170s
73197 16054 0.66867 52 113 0.64254 0.66867 4.07% 27.4 175s
75432 16347 0.66346 50 100 0.64254 0.66815 3.98% 27.4 180s
77637 16588 infeasible 84 0.64254 0.66764 3.91% 27.5 185s
79604 16806 0.66415 64 75 0.64254 0.66720 3.84% 27.6 190s
81756 16948 cutoff 56 0.64254 0.66675 3.77% 27.7 195s
84453 17263 infeasible 44 0.64254 0.66625 3.69% 27.7 200s
86892 17675 0.65488 79 101 0.64254 0.66581 3.62% 27.7 205s
88780 17902 infeasible 65 0.64254 0.66550 3.57% 27.7 211s
H90644 18114 0.6425428 0.66521 3.53% 27.7 215s
92433 18226 0.64833 70 88 0.64254 0.66486 3.47% 27.7 220s
94428 18390 0.65612 74 104 0.64254 0.66454 3.42% 27.8 225s
96387 18479 cutoff 60 0.64254 0.66421 3.37% 27.9 230s
97641 18554 cutoff 89 0.64254 0.66400 3.34% 28.0 235s
99703 18681 cutoff 56 0.64254 0.66361 3.28% 28.0 240s
102225 18888 cutoff 51 0.64254 0.66319 3.21% 28.1 245s
104492 19092 0.66047 67 101 0.64254 0.66284 3.16% 28.1 250s
106501 19131 0.65215 91 76 0.64254 0.66255 3.11% 28.2 255s
108633 19225 0.65790 54 98 0.64254 0.66215 3.05% 28.2 260s
110596 19347 cutoff 66 0.64254 0.66177 2.99% 28.3 265s
112597 19338 0.64628 67 114 0.64254 0.66142 2.94% 28.4 270s
114717 19402 0.65427 53 124 0.64254 0.66106 2.88% 28.5 275s
116837 19531 cutoff 61 0.64254 0.66073 2.83% 28.5 280s
119137 19726 0.65006 46 117 0.64254 0.66045 2.79% 28.5 285s
121400 19878 0.64900 72 92 0.64254 0.66012 2.73% 28.6 290s
123477 19987 0.65974 97 59 0.64254 0.65974 2.68% 28.6 295s
125482 19975 cutoff 50 0.64254 0.65944 2.63% 28.6 300s
127565 19973 0.65498 54 116 0.64254 0.65913 2.58% 28.7 305s
130022 20091 cutoff 55 0.64254 0.65873 2.52% 28.8 310s
132270 20276 infeasible 109 0.64254 0.65841 2.47% 28.8 315s
134291 20344 0.65769 109 59 0.64254 0.65815 2.43% 28.8 320s
136301 20369 0.64684 59 102 0.64254 0.65785 2.38% 28.9 325s
138424 20378 0.65672 84 72 0.64254 0.65756 2.34% 28.9 330s
140173 20411 0.65732 112 60 0.64254 0.65732 2.30% 28.9 335s
142259 20458 0.65698 110 50 0.64254 0.65703 2.25% 28.9 340s
144054 20354 0.65073 61 113 0.64254 0.65674 2.21% 29.0 345s
146540 20378 0.64587 67 100 0.64254 0.65644 2.16% 29.0 351s
148117 20261 infeasible 71 0.64254 0.65624 2.13% 29.0 355s
149520 20293 infeasible 78 0.64254 0.65609 2.11% 29.0 360s
151581 20185 0.65362 61 99 0.64254 0.65579 2.06% 29.0 365s
153691 19980 0.64727 112 52 0.64254 0.65545 2.01% 29.1 370s
155581 19845 cutoff 70 0.64254 0.65520 1.97% 29.1 375s
157382 19703 cutoff 55 0.64254 0.65495 1.93% 29.2 380s
159421 19619 0.65171 69 88 0.64254 0.65470 1.89% 29.2 385s
161621 19412 cutoff 46 0.64254 0.65439 1.84% 29.2 390s
163357 19277 0.65284 77 87 0.64254 0.65415 1.81% 29.2 395s
165271 19176 0.65132 112 58 0.64254 0.65394 1.77% 29.2 400s
167242 18942 0.65000 56 121 0.64254 0.65366 1.73% 29.2 405s
169430 18770 cutoff 77 0.64254 0.65338 1.69% 29.2 410s
170230 18679 infeasible 66 0.64254 0.65328 1.67% 29.2 415s
172285 18574 0.65269 50 135 0.64254 0.65304 1.63% 29.2 420s
174217 18306 cutoff 50 0.64254 0.65276 1.59% 29.2 425s
176127 18079 cutoff 49 0.64254 0.65248 1.55% 29.2 430s
178298 17864 0.64853 45 113 0.64254 0.65222 1.51% 29.2 435s
179793 17653 cutoff 74 0.64254 0.65204 1.48% 29.2 440s
181813 17311 cutoff 78 0.64254 0.65175 1.43% 29.2 445s
183984 16975 0.65027 85 90 0.64254 0.65148 1.39% 29.2 450s
186059 16755 0.65116 112 45 0.64254 0.65124 1.35% 29.1 455s
187834 16478 infeasible 117 0.64254 0.65103 1.32% 29.1 460s
190196 16195 cutoff 121 0.64254 0.65074 1.28% 29.1 465s
192412 15846 0.64796 51 132 0.64254 0.65049 1.24% 29.0 470s
194689 15406 0.64428 102 74 0.64254 0.65021 1.19% 29.0 475s
197219 15070 cutoff 103 0.64254 0.64994 1.15% 29.0 480s
199391 14672 infeasible 81 0.64254 0.64965 1.11% 28.9 486s
200904 14287 0.64731 95 76 0.64254 0.64946 1.08% 28.9 490s
203372 13696 infeasible 116 0.64254 0.64912 1.02% 28.9 495s
Cutting planes:
Gomory: 172
Cover: 3
Implied bound: 96
Projected implied bound: 60
MIR: 25
Flow cover: 166
Inf proof: 620
Explored 204605 nodes (5911785 simplex iterations) in 497.70 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.642543 0.642543
Optimal solution found (tolerance 1.00e-02)
Best objective 6.425427556736e-01, best bound 6.489431828583e-01, gap 0.9961%
*******************************************
Period: 50
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpah9zpvpo.pyomo.lp
Reading time = 0.01 seconds
x1863: 2307 rows, 1660 columns, 7609 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp5i0di75e.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2307 rows, 1660 columns and 7609 nonzeros
Variable types: 1057 continuous, 603 integer (600 binary)
Coefficient statistics:
Matrix range [6e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.637874
Presolve removed 760 rows and 492 columns
Presolve time: 0.03s
Presolved: 1547 rows, 1168 columns, 5478 nonzeros
Variable types: 626 continuous, 542 integer (537 binary)
Root relaxation: objective 8.842432e-01, 1118 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.88424 0 132 0.63787 0.88424 38.6% - 0s
0 0 0.82572 0 121 0.63787 0.82572 29.4% - 0s
0 0 0.82571 0 121 0.63787 0.82571 29.4% - 0s
0 0 0.82470 0 133 0.63787 0.82470 29.3% - 0s
0 0 0.82469 0 134 0.63787 0.82469 29.3% - 0s
0 0 0.82461 0 136 0.63787 0.82461 29.3% - 0s
0 0 0.82461 0 117 0.63787 0.82461 29.3% - 0s
0 2 0.82461 0 116 0.63787 0.82461 29.3% - 0s
780 559 0.75613 21 123 0.63787 0.78191 22.6% 30.9 5s
2245 790 cutoff 25 0.63787 0.76095 19.3% 38.8 10s
3771 1350 0.63941 44 100 0.63787 0.74333 16.5% 39.7 16s
5298 1847 cutoff 35 0.63787 0.73213 14.8% 37.7 20s
7310 2406 cutoff 66 0.63787 0.72100 13.0% 36.0 25s
9263 2939 cutoff 37 0.63787 0.71352 11.9% 34.5 30s
11857 3531 0.64487 44 104 0.63787 0.70586 10.7% 33.2 35s
13399 3863 cutoff 35 0.63787 0.70154 10.0% 33.0 40s
15208 4116 0.65091 50 106 0.63787 0.69851 9.51% 33.1 45s
17146 4425 0.64541 40 112 0.63787 0.69573 9.07% 33.1 50s
18790 4516 cutoff 48 0.63787 0.69194 8.48% 33.8 55s
20806 4844 0.65716 37 117 0.63787 0.68978 8.14% 33.6 76s
20816 4851 0.66872 47 185 0.63787 0.68978 8.14% 33.6 80s
20826 4857 0.65351 40 190 0.63787 0.68978 8.14% 33.6 86s
20833 4862 0.64968 65 180 0.63787 0.68978 8.14% 33.6 91s
20841 4867 0.68863 35 228 0.63787 0.68978 8.14% 33.6 95s
20847 4871 0.68852 38 235 0.63787 0.68978 8.14% 33.6 100s
20851 4874 0.67644 41 245 0.63787 0.68978 8.14% 33.6 105s
20857 4878 0.65473 48 249 0.63787 0.68978 8.14% 33.6 110s
20862 4881 0.66891 44 229 0.63787 0.68978 8.14% 33.6 115s
20868 4885 0.68767 39 237 0.63787 0.68978 8.14% 33.5 120s
20874 4889 0.65706 41 243 0.63787 0.68978 8.14% 33.5 125s
20880 4893 0.67014 48 246 0.63787 0.68978 8.14% 33.5 130s
20886 4897 0.67427 40 241 0.63787 0.68978 8.14% 33.5 135s
20893 4902 0.64708 56 260 0.63787 0.68978 8.14% 33.5 141s
20897 4905 0.66814 41 256 0.63787 0.68978 8.14% 33.5 145s
20903 4909 0.67435 45 257 0.63787 0.68978 8.14% 33.5 150s
20909 4913 0.66798 47 262 0.63787 0.68978 8.14% 33.5 155s
20915 4917 0.66243 56 267 0.63787 0.68978 8.14% 33.5 160s
H20920 4672 0.6378738 0.68978 8.14% 33.5 165s
20926 4676 0.65351 40 260 0.63787 0.68978 8.14% 33.5 170s
20931 4679 0.66625 50 265 0.63787 0.68978 8.14% 33.4 175s
20937 4683 0.65733 50 258 0.63787 0.68978 8.14% 33.4 180s
20941 4686 0.68863 35 286 0.63787 0.68978 8.14% 33.4 185s
20944 4691 0.68978 27 241 0.63787 0.68978 8.14% 35.0 193s
20946 4692 infeasible 28 0.63787 0.68978 8.14% 35.0 199s
20950 4695 0.68978 29 261 0.63787 0.68978 8.14% 35.1 202s
20966 4695 0.68978 31 249 0.63787 0.68978 8.14% 35.3 205s
21021 4702 0.68978 36 255 0.63787 0.68978 8.14% 35.8 210s
21307 4788 0.68772 37 221 0.63787 0.68978 8.14% 36.8 215s
21617 4859 0.64810 47 213 0.63787 0.68978 8.14% 38.0 220s
21910 4935 0.65113 48 185 0.63787 0.68978 8.14% 39.3 225s
22132 4972 0.65924 61 191 0.63787 0.68978 8.14% 40.4 230s
22472 5094 0.64524 52 190 0.63787 0.68978 8.14% 41.2 235s
22769 5131 0.67368 39 210 0.63787 0.68978 8.14% 42.3 240s
23108 5190 0.68424 38 220 0.63787 0.68978 8.14% 43.6 245s
23525 5248 0.68978 41 236 0.63787 0.68978 8.14% 44.5 250s
23836 5299 0.66027 68 169 0.63787 0.68978 8.14% 45.8 255s
24143 5360 0.68135 38 236 0.63787 0.68978 8.14% 46.8 261s
24354 5422 0.68081 41 203 0.63787 0.68978 8.14% 47.4 266s
24549 5432 0.68814 43 206 0.63787 0.68978 8.14% 48.5 271s
24879 5495 0.64404 44 229 0.63787 0.68978 8.14% 49.3 275s
25154 5540 0.66711 55 165 0.63787 0.68978 8.14% 50.4 280s
25502 5596 0.64531 48 189 0.63787 0.68978 8.14% 51.5 285s
25779 5611 0.67175 34 249 0.63787 0.68978 8.14% 53.0 291s
25934 5614 cutoff 42 0.63787 0.68978 8.14% 53.6 295s
26293 5705 0.67229 38 208 0.63787 0.68978 8.14% 54.6 302s
26305 5697 0.66161 41 196 0.63787 0.68978 8.14% 54.7 305s
26489 5714 0.65290 50 206 0.63787 0.68978 8.14% 55.5 320s
26756 5701 0.64558 67 172 0.63787 0.68978 8.14% 57.0 328s
27082 5785 0.65207 41 221 0.63787 0.68978 8.14% 57.6 332s
27376 5818 0.68415 48 193 0.63787 0.68978 8.14% 58.3 336s
27645 5840 0.66966 39 212 0.63787 0.68978 8.14% 59.1 341s
27956 5888 0.66472 42 202 0.63787 0.68978 8.14% 59.8 345s
28138 5878 0.67510 52 196 0.63787 0.68978 8.14% 60.7 350s
28778 5938 0.67379 39 211 0.63787 0.68973 8.13% 62.2 359s
29134 5986 0.67538 35 207 0.63787 0.68943 8.08% 62.9 364s
29472 6053 0.67262 46 190 0.63787 0.68924 8.05% 63.7 370s
29829 6062 0.63922 43 166 0.63787 0.68889 8.00% 64.6 375s
30202 6104 0.66993 37 216 0.63787 0.68862 7.96% 65.4 382s
30638 6202 cutoff 49 0.63787 0.68845 7.93% 66.0 387s
30952 6231 0.66488 80 166 0.63787 0.68822 7.89% 67.0 393s
31260 6240 cutoff 50 0.63787 0.68803 7.86% 68.1 400s
31707 6303 cutoff 54 0.63787 0.68780 7.83% 69.0 406s
32087 6342 cutoff 40 0.63787 0.68741 7.77% 70.0 412s
32518 6395 0.64356 45 190 0.63787 0.68711 7.72% 70.8 419s
32905 6408 0.67047 51 191 0.63787 0.68693 7.69% 71.7 425s
33163 6406 cutoff 59 0.63787 0.68680 7.67% 72.4 431s
33596 6425 0.63998 59 155 0.63787 0.68663 7.64% 73.2 438s
34028 6472 cutoff 46 0.63787 0.68641 7.61% 74.0 446s
34143 6443 infeasible 55 0.63787 0.68632 7.59% 74.5 453s
34570 6468 0.67706 48 215 0.63787 0.68609 7.56% 75.2 459s
34919 6438 0.66302 37 227 0.63787 0.68599 7.54% 76.2 466s
35284 6531 0.65273 57 182 0.63787 0.68573 7.50% 77.0 472s
35644 6633 0.65043 43 188 0.63787 0.68544 7.46% 77.9 479s
36047 6793 0.67008 42 184 0.63787 0.68522 7.42% 78.7 485s
36369 6893 0.64645 55 180 0.63787 0.68518 7.42% 79.3 492s
36817 7033 cutoff 58 0.63787 0.68498 7.39% 80.0 498s
37213 7151 0.67317 45 189 0.63787 0.68473 7.35% 80.7 505s
37536 7256 0.63859 48 179 0.63787 0.68461 7.33% 81.4 511s
37911 7376 0.66685 48 189 0.63787 0.68439 7.29% 82.1 517s
38258 7475 0.64517 40 206 0.63787 0.68424 7.27% 82.9 524s
38621 7628 0.68270 49 215 0.63787 0.68403 7.24% 83.7 530s
39022 7732 0.64881 51 181 0.63787 0.68382 7.20% 84.3 537s
39400 7853 0.65307 60 176 0.63787 0.68366 7.18% 85.1 543s
39704 7926 0.67662 46 211 0.63787 0.68342 7.14% 86.0 550s
39918 7976 0.67725 48 194 0.63787 0.68328 7.12% 86.9 557s
40267 8081 0.65078 61 167 0.63787 0.68316 7.10% 87.7 564s
40663 8196 cutoff 48 0.63787 0.68305 7.08% 88.4 571s
41199 8409 0.67574 52 210 0.63787 0.68286 7.05% 88.8 578s
41573 8491 0.65182 60 170 0.63787 0.68278 7.04% 89.5 585s
41958 8592 cutoff 54 0.63787 0.68251 7.00% 90.1 592s
42361 8711 0.67120 56 191 0.63787 0.68241 6.98% 90.7 598s
42772 8842 cutoff 40 0.63787 0.68225 6.96% 91.3 600s
Cutting planes:
Gomory: 190
Cover: 8
Implied bound: 28
Projected implied bound: 55
Clique: 2
MIR: 221
StrongCG: 3
Flow cover: 800
Inf proof: 119
Zero half: 1
Explored 42807 nodes (3914658 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.637874 0.637874
Time limit reached
Best objective 6.378737749646e-01, best bound 6.822495416325e-01, gap 6.9568%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 51
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpf706yhee.pyomo.lp
Reading time = 0.01 seconds
x1900: 2353 rows, 1693 columns, 7762 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp73bj9zkk.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2353 rows, 1693 columns and 7762 nonzeros
Variable types: 1078 continuous, 615 integer (612 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.627346
Presolve removed 774 rows and 501 columns
Presolve time: 0.03s
Presolved: 1579 rows, 1192 columns, 5592 nonzeros
Variable types: 639 continuous, 553 integer (548 binary)
Root relaxation: objective 8.665192e-01, 1213 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.86652 0 133 0.62735 0.86652 38.1% - 0s
0 0 0.80985 0 128 0.62735 0.80985 29.1% - 0s
0 0 0.80983 0 128 0.62735 0.80983 29.1% - 0s
0 0 0.80880 0 141 0.62735 0.80880 28.9% - 0s
0 0 0.80878 0 141 0.62735 0.80878 28.9% - 0s
0 0 0.80878 0 148 0.62735 0.80878 28.9% - 0s
0 0 0.80878 0 119 0.62735 0.80878 28.9% - 0s
0 2 0.80878 0 117 0.62735 0.80878 28.9% - 0s
795 537 0.76313 18 128 0.62735 0.77471 23.5% 30.8 5s
H 1607 545 0.6273457 0.76594 22.1% 40.6 9s
1609 547 0.76470 17 125 0.62735 0.76594 22.1% 40.6 10s
3126 913 cutoff 19 0.62735 0.74627 19.0% 40.3 15s
H 4528 1144 0.6273457 0.72541 15.6% 41.1 19s
4815 1158 infeasible 34 0.62735 0.72134 15.0% 41.2 20s
6458 1607 cutoff 27 0.62735 0.70907 13.0% 38.7 25s
8682 2083 0.66851 34 106 0.62735 0.69642 11.0% 36.0 30s
11063 2742 0.65069 26 126 0.62735 0.68893 9.82% 33.3 35s
13340 3174 infeasible 29 0.62735 0.68285 8.85% 32.6 40s
15255 3554 0.64495 52 107 0.62735 0.67751 8.00% 31.8 45s
17451 4039 0.67139 37 131 0.62735 0.67336 7.33% 31.0 51s
18649 4263 0.63402 40 114 0.62735 0.67176 7.08% 30.8 55s
21355 4906 0.63095 40 106 0.62735 0.66917 6.67% 29.8 74s
21739 4975 0.63733 55 105 0.62735 0.66868 6.59% 29.7 75s
24751 5771 0.65172 38 107 0.62735 0.66601 6.16% 29.0 80s
27109 6200 0.63566 40 114 0.62735 0.66405 5.85% 29.1 85s
28981 6576 0.63627 44 119 0.62735 0.66297 5.68% 29.0 90s
30923 6900 0.64808 73 89 0.62735 0.66163 5.47% 29.1 95s
33417 7355 cutoff 44 0.62735 0.66029 5.25% 28.9 100s
35714 7601 cutoff 63 0.62735 0.65888 5.03% 29.1 105s
37808 8021 0.64655 58 113 0.62735 0.65787 4.87% 29.0 110s
40490 8691 cutoff 74 0.62735 0.65683 4.70% 28.7 115s
42633 9105 cutoff 87 0.62735 0.65576 4.53% 28.8 120s
45634 9925 0.62985 75 79 0.62735 0.65492 4.39% 28.4 125s
48167 10528 0.62806 104 47 0.62735 0.65408 4.26% 28.2 130s
50933 11254 0.63967 66 116 0.62735 0.65336 4.15% 27.9 135s
53061 11668 cutoff 36 0.62735 0.65266 4.04% 27.9 140s
55118 11931 0.64810 74 96 0.62735 0.65197 3.93% 28.0 145s
57579 12429 cutoff 37 0.62735 0.65145 3.84% 28.0 150s
59824 12716 cutoff 58 0.62735 0.65078 3.73% 28.0 155s
61859 12848 0.63756 64 78 0.62735 0.65023 3.65% 28.2 160s
62741 12883 0.63813 75 108 0.62735 0.64990 3.60% 28.3 165s
64732 13048 infeasible 42 0.62735 0.64941 3.52% 28.3 170s
66566 13068 cutoff 60 0.62735 0.64895 3.44% 28.5 175s
68925 13241 0.64568 61 106 0.62735 0.64829 3.34% 28.6 180s
70993 13355 0.63220 71 114 0.62735 0.64781 3.26% 28.7 185s
73152 13616 0.64599 44 119 0.62735 0.64729 3.18% 28.7 190s
75155 13726 0.63437 30 127 0.62735 0.64688 3.11% 28.7 195s
77221 13835 cutoff 49 0.62735 0.64644 3.04% 28.8 200s
79347 14027 0.62988 35 109 0.62735 0.64617 3.00% 28.8 205s
81441 14111 0.64518 56 113 0.62735 0.64567 2.92% 28.9 210s
83120 14126 cutoff 83 0.62735 0.64533 2.87% 28.9 215s
84955 14101 cutoff 56 0.62735 0.64487 2.79% 29.0 220s
87026 14209 cutoff 48 0.62735 0.64439 2.72% 29.0 225s
89129 14229 cutoff 104 0.62735 0.64400 2.65% 29.1 230s
91280 14277 0.62795 110 47 0.62735 0.64356 2.58% 29.1 235s
93404 14316 0.63159 50 123 0.62735 0.64311 2.51% 29.1 240s
95283 14276 infeasible 83 0.62735 0.64277 2.46% 29.2 245s
97315 14262 cutoff 65 0.62735 0.64245 2.41% 29.2 250s
98938 14296 0.64154 60 118 0.62735 0.64211 2.35% 29.2 255s
100881 14195 cutoff 59 0.62735 0.64172 2.29% 29.2 260s
102888 14231 0.63285 44 126 0.62735 0.64140 2.24% 29.3 265s
104668 14074 0.62872 78 90 0.62735 0.64106 2.19% 29.3 270s
106849 14115 cutoff 33 0.62735 0.64082 2.15% 29.3 275s
109050 14209 0.63360 86 92 0.62735 0.64052 2.10% 29.3 280s
110939 14173 0.63374 60 109 0.62735 0.64022 2.05% 29.3 285s
112840 14054 0.63833 62 96 0.62735 0.63995 2.01% 29.4 290s
114830 13981 0.63294 69 91 0.62735 0.63959 1.95% 29.3 295s
115947 13916 cutoff 104 0.62735 0.63939 1.92% 29.3 300s
117921 13802 0.63017 44 136 0.62735 0.63909 1.87% 29.3 305s
120091 13791 cutoff 56 0.62735 0.63884 1.83% 29.3 310s
122029 13745 cutoff 111 0.62735 0.63850 1.78% 29.3 315s
123889 13578 cutoff 89 0.62735 0.63824 1.74% 29.3 320s
125768 13441 cutoff 84 0.62735 0.63797 1.69% 29.3 325s
127735 13318 cutoff 93 0.62735 0.63770 1.65% 29.3 330s
129722 13128 cutoff 32 0.62735 0.63735 1.59% 29.3 336s
131183 12979 cutoff 91 0.62735 0.63712 1.56% 29.3 340s
133034 12909 0.63619 87 76 0.62735 0.63687 1.52% 29.3 345s
135433 12773 cutoff 95 0.62735 0.63656 1.47% 29.2 350s
137120 12675 infeasible 97 0.62735 0.63628 1.42% 29.2 355s
139075 12423 0.63422 101 62 0.62735 0.63595 1.37% 29.2 360s
141255 12306 0.63492 60 122 0.62735 0.63565 1.32% 29.1 365s
143055 12019 cutoff 72 0.62735 0.63533 1.27% 29.1 370s
145383 11935 cutoff 67 0.62735 0.63506 1.23% 29.0 375s
147637 11833 0.63462 84 73 0.62735 0.63478 1.18% 28.9 380s
148654 11682 cutoff 64 0.62735 0.63465 1.16% 28.9 385s
150961 11434 0.63419 88 104 0.62735 0.63430 1.11% 28.9 390s
153195 11137 cutoff 101 0.62735 0.63397 1.06% 28.8 395s
Cutting planes:
Gomory: 189
Cover: 4
Implied bound: 120
Projected implied bound: 83
MIR: 23
StrongCG: 1
Flow cover: 181
Inf proof: 612
Explored 155376 nodes (4465003 simplex iterations) in 399.71 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.627346 0.627346 0.627346
Optimal solution found (tolerance 1.00e-02)
Best objective 6.273457210758e-01, best bound 6.336119293565e-01, gap 0.9988%
*******************************************
Period: 52
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3_hjir8o.pyomo.lp
Reading time = 0.02 seconds
x1937: 2399 rows, 1726 columns, 7915 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpw0kuj40t.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2399 rows, 1726 columns and 7915 nonzeros
Variable types: 1099 continuous, 627 integer (624 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.626174
Presolve removed 788 rows and 510 columns
Presolve time: 0.03s
Presolved: 1611 rows, 1216 columns, 5706 nonzeros
Variable types: 652 continuous, 564 integer (559 binary)
Root relaxation: objective 8.581564e-01, 1204 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85816 0 138 0.62617 0.85816 37.0% - 0s
0 0 0.80262 0 131 0.62617 0.80262 28.2% - 0s
0 0 0.80261 0 133 0.62617 0.80261 28.2% - 0s
0 0 0.80185 0 135 0.62617 0.80185 28.1% - 0s
0 0 0.80184 0 136 0.62617 0.80184 28.1% - 0s
0 0 0.79949 0 140 0.62617 0.79949 27.7% - 0s
0 0 0.79949 0 138 0.62617 0.79949 27.7% - 0s
0 0 0.79947 0 142 0.62617 0.79947 27.7% - 0s
0 0 0.79947 0 127 0.62617 0.79947 27.7% - 0s
0 2 0.79947 0 127 0.62617 0.79947 27.7% - 0s
801 600 0.76176 20 138 0.62617 0.76176 21.7% 26.5 5s
2212 872 0.71033 35 128 0.62617 0.72939 16.5% 34.0 10s
3401 1270 infeasible 32 0.62617 0.72243 15.4% 37.1 15s
4643 1730 0.63118 52 116 0.62617 0.71671 14.5% 37.5 20s
5980 2088 0.64622 41 133 0.62617 0.70820 13.1% 38.6 25s
H 6733 2304 0.6261738 0.70484 12.6% 38.7 27s
7230 2359 0.63787 40 141 0.62617 0.70321 12.3% 39.1 30s
8500 2558 0.68575 31 172 0.62617 0.69752 11.4% 39.7 35s
10184 2786 cutoff 49 0.62617 0.69255 10.6% 40.0 40s
11767 3012 0.65583 45 138 0.62617 0.68746 9.79% 39.9 45s
13502 3368 cutoff 49 0.62617 0.68329 9.12% 39.7 50s
14318 3427 cutoff 51 0.62617 0.68059 8.69% 39.8 55s
16090 3756 0.65249 42 125 0.62617 0.67651 8.04% 39.7 61s
17474 3978 0.64672 53 115 0.62617 0.67346 7.55% 39.2 65s
19281 4230 0.66378 57 111 0.62617 0.67059 7.09% 38.8 70s
20778 4522 0.64211 74 107 0.62617 0.66780 6.65% 38.4 89s
21182 4550 0.62792 89 102 0.62617 0.66748 6.60% 38.4 91s
23141 5181 0.62730 55 148 0.62617 0.66576 6.32% 37.8 95s
24854 5499 0.63924 92 99 0.62617 0.66417 6.07% 37.8 100s
27088 6202 0.63093 45 132 0.62617 0.66248 5.80% 37.2 105s
29295 6698 cutoff 44 0.62617 0.66086 5.54% 36.9 110s
31399 7168 0.64407 48 143 0.62617 0.65951 5.32% 36.7 115s
33284 7643 cutoff 45 0.62617 0.65864 5.18% 36.2 120s
35563 8134 cutoff 61 0.62617 0.65776 5.04% 35.8 125s
37825 8631 0.63659 53 136 0.62617 0.65679 4.89% 35.5 130s
39861 9055 0.63498 65 125 0.62617 0.65609 4.78% 35.3 135s
41975 9528 0.63259 52 138 0.62617 0.65548 4.68% 35.0 140s
44064 10030 0.65353 60 109 0.62617 0.65485 4.58% 34.7 145s
45992 10459 0.65331 55 142 0.62617 0.65437 4.50% 34.6 150s
47986 10843 0.64546 54 123 0.62617 0.65390 4.43% 34.4 155s
50285 11176 0.65258 59 106 0.62617 0.65337 4.34% 34.4 160s
52176 11655 0.63313 72 116 0.62617 0.65302 4.29% 34.1 165s
54412 12002 cutoff 69 0.62617 0.65248 4.20% 34.1 170s
56134 12442 0.63915 35 153 0.62617 0.65224 4.16% 33.9 176s
57343 12637 0.65148 49 128 0.62617 0.65198 4.12% 33.8 180s
59079 13077 cutoff 67 0.62617 0.65164 4.07% 33.7 185s
60971 13410 0.63917 57 117 0.62617 0.65129 4.01% 33.7 190s
63007 13839 cutoff 51 0.62617 0.65089 3.95% 33.7 195s
64638 14174 0.63620 45 146 0.62617 0.65070 3.92% 33.6 200s
66773 14607 0.63378 60 127 0.62617 0.65033 3.86% 33.5 205s
68631 14896 0.63944 73 98 0.62617 0.64998 3.80% 33.5 210s
70390 15238 infeasible 96 0.62617 0.64973 3.76% 33.5 215s
72188 15466 0.64123 69 118 0.62617 0.64948 3.72% 33.6 220s
73905 15853 0.64810 52 142 0.62617 0.64928 3.69% 33.5 225s
75694 16265 cutoff 49 0.62617 0.64901 3.65% 33.4 230s
77339 16545 cutoff 80 0.62617 0.64878 3.61% 33.4 235s
79554 16983 cutoff 53 0.62617 0.64849 3.56% 33.3 240s
81091 17201 0.64333 69 127 0.62617 0.64825 3.53% 33.3 245s
83006 17513 0.63301 55 141 0.62617 0.64802 3.49% 33.4 251s
84921 17870 0.63501 48 132 0.62617 0.64783 3.46% 33.4 255s
86668 18115 cutoff 58 0.62617 0.64757 3.42% 33.4 260s
88598 18413 cutoff 80 0.62617 0.64736 3.38% 33.4 266s
89892 18685 0.63009 64 125 0.62617 0.64724 3.36% 33.4 270s
91270 18911 0.63275 77 111 0.62617 0.64706 3.33% 33.4 275s
93175 19271 cutoff 50 0.62617 0.64686 3.30% 33.3 280s
94710 19407 cutoff 47 0.62617 0.64663 3.27% 33.4 285s
96816 19746 0.62972 58 92 0.62617 0.64640 3.23% 33.5 291s
98733 20080 cutoff 61 0.62617 0.64617 3.19% 33.4 296s
H99755 20243 0.6261738 0.64605 3.17% 33.4 298s
100080 20347 0.63835 54 151 0.62617 0.64602 3.17% 33.4 300s
100972 20442 0.63376 78 92 0.62617 0.64594 3.16% 33.4 305s
102660 20732 0.63457 74 112 0.62617 0.64577 3.13% 33.4 310s
104338 20910 cutoff 38 0.62617 0.64559 3.10% 33.4 315s
106182 21253 0.63352 48 129 0.62617 0.64540 3.07% 33.4 320s
108407 21768 infeasible 57 0.62617 0.64522 3.04% 33.3 325s
110556 21982 0.63669 60 130 0.62617 0.64498 3.00% 33.3 331s
112549 22307 0.63507 93 104 0.62617 0.64485 2.98% 33.3 336s
114396 22579 0.63071 78 93 0.62617 0.64463 2.95% 33.3 340s
115956 22731 0.62666 68 136 0.62617 0.64450 2.93% 33.3 345s
117696 22880 cutoff 95 0.62617 0.64434 2.90% 33.3 350s
119707 23216 0.62915 84 115 0.62617 0.64418 2.88% 33.2 355s
121574 23425 cutoff 71 0.62617 0.64402 2.85% 33.2 360s
123396 23652 0.63645 59 123 0.62617 0.64383 2.82% 33.2 365s
125317 23938 0.63132 53 156 0.62617 0.64367 2.79% 33.2 370s
127095 24116 0.63492 54 150 0.62617 0.64354 2.77% 33.2 375s
128902 24297 0.63807 59 150 0.62617 0.64335 2.74% 33.2 380s
130792 24530 0.63118 54 153 0.62617 0.64319 2.72% 33.2 385s
132513 24766 cutoff 58 0.62617 0.64303 2.69% 33.2 390s
134387 25041 0.63425 107 67 0.62617 0.64291 2.67% 33.2 395s
135401 25175 0.63877 52 149 0.62617 0.64282 2.66% 33.2 400s
137877 25621 0.63224 72 126 0.62617 0.64265 2.63% 33.1 406s
139387 25766 cutoff 88 0.62617 0.64256 2.62% 33.1 410s
141878 26124 0.62698 72 104 0.62617 0.64238 2.59% 33.0 416s
143945 26394 infeasible 56 0.62617 0.64225 2.57% 32.9 421s
145762 26674 cutoff 56 0.62617 0.64212 2.55% 32.9 426s
147336 26851 cutoff 84 0.62617 0.64200 2.53% 32.9 430s
149029 27022 cutoff 55 0.62617 0.64191 2.51% 32.8 435s
151032 27293 0.63594 54 137 0.62617 0.64175 2.49% 32.8 440s
152954 27600 0.63125 100 71 0.62617 0.64163 2.47% 32.8 445s
154928 27803 0.63665 57 136 0.62617 0.64151 2.45% 32.8 450s
157433 28140 cutoff 37 0.62617 0.64137 2.43% 32.7 456s
159356 28352 cutoff 60 0.62617 0.64126 2.41% 32.7 461s
160892 28628 cutoff 65 0.62617 0.64116 2.39% 32.6 466s
161811 28697 0.63702 80 108 0.62617 0.64110 2.38% 32.6 470s
164084 29018 0.62899 46 134 0.62617 0.64097 2.36% 32.6 476s
165878 29168 cutoff 75 0.62617 0.64088 2.35% 32.6 480s
167718 29332 cutoff 56 0.62617 0.64075 2.33% 32.5 485s
169665 29510 cutoff 54 0.62617 0.64062 2.31% 32.5 491s
171250 29662 cutoff 69 0.62617 0.64052 2.29% 32.6 495s
172942 29757 cutoff 67 0.62617 0.64043 2.28% 32.5 500s
174849 29919 0.63381 80 115 0.62617 0.64033 2.26% 32.5 506s
176477 29904 0.63990 70 119 0.62617 0.64021 2.24% 32.6 511s
178083 29981 0.62915 59 115 0.62617 0.64013 2.23% 32.6 515s
179573 30014 cutoff 76 0.62617 0.64003 2.21% 32.6 520s
181438 30122 0.63496 122 74 0.62617 0.63994 2.20% 32.6 525s
183236 30204 0.63756 56 107 0.62617 0.63981 2.18% 32.6 530s
185186 30318 0.63277 79 116 0.62617 0.63969 2.16% 32.6 535s
187131 30400 0.63245 81 124 0.62617 0.63958 2.14% 32.6 541s
188544 30411 infeasible 91 0.62617 0.63952 2.13% 32.6 545s
189462 30479 0.62693 104 96 0.62617 0.63947 2.12% 32.6 550s
191178 30501 0.63574 94 76 0.62617 0.63936 2.11% 32.6 555s
192996 30524 0.63128 64 113 0.62617 0.63925 2.09% 32.6 561s
194446 30520 0.63858 75 125 0.62617 0.63919 2.08% 32.6 565s
196349 30515 0.63567 111 97 0.62617 0.63907 2.06% 32.6 570s
198125 30497 infeasible 92 0.62617 0.63897 2.04% 32.6 575s
199995 30478 0.63581 60 127 0.62617 0.63885 2.02% 32.6 580s
201937 30483 0.63259 89 101 0.62617 0.63876 2.01% 32.6 586s
203284 30467 cutoff 58 0.62617 0.63868 2.00% 32.6 590s
205214 30486 cutoff 50 0.62617 0.63858 1.98% 32.6 595s
206928 30471 cutoff 74 0.62617 0.63849 1.97% 32.7 600s
Cutting planes:
Learned: 1
Gomory: 175
Cover: 4
Implied bound: 195
Projected implied bound: 88
MIR: 28
Flow cover: 190
Inf proof: 586
Explored 207346 nodes (6774613 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.626174 0.626174 0.626174
Time limit reached
Best objective 6.261738211989e-01, best bound 6.384789031106e-01, gap 1.9651%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 53
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpbfwxuheu.pyomo.lp
Reading time = 0.02 seconds
x1974: 2445 rows, 1759 columns, 8068 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmplq8kngl5.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2445 rows, 1759 columns and 8068 nonzeros
Variable types: 1120 continuous, 639 integer (636 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.622303
Presolve removed 802 rows and 519 columns
Presolve time: 0.04s
Presolved: 1643 rows, 1240 columns, 5820 nonzeros
Variable types: 665 continuous, 575 integer (570 binary)
Root relaxation: objective 8.516913e-01, 1259 iterations, 0.03 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.85169 0 145 0.62230 0.85169 36.9% - 0s
0 0 0.79801 0 145 0.62230 0.79801 28.2% - 0s
0 0 0.79801 0 145 0.62230 0.79801 28.2% - 0s
0 0 0.79619 0 152 0.62230 0.79619 27.9% - 0s
0 0 0.79611 0 152 0.62230 0.79611 27.9% - 0s
0 0 0.79592 0 148 0.62230 0.79592 27.9% - 0s
0 0 0.79592 0 118 0.62230 0.79592 27.9% - 0s
0 2 0.79592 0 118 0.62230 0.79592 27.9% - 0s
748 552 0.76084 10 148 0.62230 0.76084 22.3% 27.3 5s
1577 711 0.64524 20 122 0.62230 0.75585 21.5% 39.9 10s
2979 1203 0.72228 23 141 0.62230 0.73459 18.0% 35.7 15s
4453 1741 0.69681 24 132 0.62230 0.72126 15.9% 36.3 20s
5827 2162 0.66074 36 142 0.62230 0.71063 14.2% 35.9 25s
7602 2620 0.64913 34 131 0.62230 0.69826 12.2% 35.4 30s
9787 3223 0.66297 26 128 0.62230 0.68991 10.9% 33.8 35s
11781 3702 cutoff 37 0.62230 0.68466 10.0% 32.4 40s
H13251 4180 0.6223035 0.68085 9.41% 31.6 44s
13277 4164 cutoff 39 0.62230 0.68084 9.41% 31.6 45s
15142 4772 0.66242 43 126 0.62230 0.67823 8.99% 30.8 51s
15959 4903 0.63884 36 127 0.62230 0.67685 8.76% 30.6 55s
17722 5347 0.66895 32 137 0.62230 0.67451 8.39% 30.7 60s
19723 5701 0.64471 41 118 0.62230 0.67233 8.04% 30.7 65s
21076 5887 0.62644 45 127 0.62230 0.67048 7.74% 31.0 86s
22415 6050 0.65573 38 145 0.62230 0.66869 7.45% 31.2 90s
23776 6264 0.65089 45 132 0.62230 0.66729 7.23% 31.6 95s
25493 6616 cutoff 41 0.62230 0.66585 7.00% 31.8 100s
26958 6907 0.64104 35 131 0.62230 0.66471 6.81% 32.0 105s
28598 7144 0.63652 34 147 0.62230 0.66351 6.62% 32.5 110s
30131 7476 cutoff 46 0.62230 0.66244 6.45% 32.7 115s
31440 7646 cutoff 38 0.62230 0.66142 6.29% 33.0 120s
32770 7775 infeasible 31 0.62230 0.66025 6.10% 33.3 125s
34071 7901 0.63838 42 141 0.62230 0.65916 5.92% 33.6 130s
35521 8077 0.64455 37 134 0.62230 0.65812 5.76% 33.8 135s
37193 8332 infeasible 37 0.62230 0.65716 5.60% 34.0 140s
38754 8556 cutoff 40 0.62230 0.65634 5.47% 34.0 145s
40458 8822 0.64961 45 124 0.62230 0.65551 5.34% 34.0 151s
41639 8975 0.65001 53 111 0.62230 0.65492 5.24% 34.1 155s
43393 9162 0.65230 44 112 0.62230 0.65410 5.11% 34.1 160s
45112 9524 cutoff 42 0.62230 0.65351 5.01% 34.0 165s
46919 9811 0.63647 58 105 0.62230 0.65281 4.90% 33.9 171s
48669 10128 0.62243 53 111 0.62230 0.65220 4.80% 33.9 175s
50290 10386 0.62710 36 130 0.62230 0.65163 4.71% 33.9 181s
51261 10561 cutoff 65 0.62230 0.65141 4.68% 33.8 185s
52758 10752 cutoff 44 0.62230 0.65093 4.60% 33.7 191s
53937 10903 cutoff 60 0.62230 0.65055 4.54% 33.7 195s
55568 11136 0.62649 49 127 0.62230 0.65005 4.46% 33.7 200s
57389 11433 0.63732 43 127 0.62230 0.64962 4.39% 33.6 205s
59229 11669 0.64103 56 127 0.62230 0.64932 4.34% 33.5 211s
61009 11860 0.63476 29 158 0.62230 0.64882 4.26% 33.4 216s
62877 12238 0.63482 37 135 0.62230 0.64852 4.21% 33.3 221s
64545 12500 0.64017 38 140 0.62230 0.64819 4.16% 33.2 226s
H65499 12658 0.6223035 0.64804 4.14% 33.1 228s
65719 12719 0.62401 102 67 0.62230 0.64801 4.13% 33.1 231s
66956 12930 0.63484 41 147 0.62230 0.64778 4.09% 33.0 236s
68322 13125 cutoff 51 0.62230 0.64753 4.05% 32.9 240s
70407 13382 0.62380 70 95 0.62230 0.64721 4.00% 32.9 246s
71815 13627 0.64094 46 137 0.62230 0.64697 3.96% 32.8 250s
74085 14161 0.63525 54 120 0.62230 0.64668 3.92% 32.6 256s
75982 14434 cutoff 55 0.62230 0.64640 3.87% 32.5 261s
77713 14684 0.62715 49 120 0.62230 0.64610 3.82% 32.4 265s
79278 14873 0.62408 57 102 0.62230 0.64586 3.79% 32.4 270s
80685 15056 0.63020 70 107 0.62230 0.64561 3.75% 32.4 275s
82249 15259 cutoff 45 0.62230 0.64539 3.71% 32.4 280s
84088 15635 0.63348 63 113 0.62230 0.64514 3.67% 32.3 285s
85678 15840 0.64268 50 129 0.62230 0.64489 3.63% 32.3 290s
87350 15999 0.63075 62 113 0.62230 0.64464 3.59% 32.3 295s
89197 16293 0.63884 42 150 0.62230 0.64438 3.55% 32.3 301s
90647 16408 cutoff 62 0.62230 0.64418 3.52% 32.3 306s
91796 16488 0.62534 71 101 0.62230 0.64402 3.49% 32.3 310s
93531 16649 0.63025 34 143 0.62230 0.64378 3.45% 32.3 316s
94842 16765 0.63330 44 152 0.62230 0.64364 3.43% 32.3 320s
96472 16898 cutoff 47 0.62230 0.64336 3.38% 32.3 325s
97911 17085 0.63071 44 134 0.62230 0.64323 3.36% 32.3 330s
99651 17221 0.62249 51 133 0.62230 0.64298 3.32% 32.3 335s
100634 17309 0.63307 65 103 0.62230 0.64288 3.31% 32.3 340s
102252 17468 0.63155 38 143 0.62230 0.64259 3.26% 32.3 345s
104052 17716 cutoff 53 0.62230 0.64236 3.22% 32.4 351s
105387 17805 0.62660 46 110 0.62230 0.64219 3.20% 32.4 355s
107438 18177 0.64077 87 90 0.62230 0.64194 3.16% 32.3 360s
108927 18433 0.63022 32 166 0.62230 0.64181 3.13% 32.2 365s
110761 18719 0.63012 66 113 0.62230 0.64162 3.10% 32.2 370s
112572 18884 cutoff 39 0.62230 0.64138 3.07% 32.2 375s
114496 19237 0.62611 53 131 0.62230 0.64117 3.03% 32.2 382s
115353 19338 0.63736 40 140 0.62230 0.64106 3.01% 32.2 386s
116705 19554 0.63947 36 139 0.62230 0.64088 2.99% 32.2 390s
118664 19841 0.63429 74 106 0.62230 0.64068 2.95% 32.1 395s
120552 20054 infeasible 44 0.62230 0.64051 2.93% 32.1 400s
122187 20203 cutoff 70 0.62230 0.64030 2.89% 32.1 405s
123509 20221 0.62732 42 129 0.62230 0.64011 2.86% 32.3 411s
124784 20318 infeasible 55 0.62230 0.63996 2.84% 32.3 415s
126340 20473 infeasible 41 0.62230 0.63979 2.81% 32.3 421s
127651 20624 0.63293 44 147 0.62230 0.63964 2.79% 32.4 425s
129191 20604 cutoff 56 0.62230 0.63943 2.75% 32.4 430s
130802 20667 cutoff 54 0.62230 0.63920 2.71% 32.5 436s
131612 20699 0.63132 53 124 0.62230 0.63909 2.70% 32.6 440s
133406 20938 0.63512 29 170 0.62230 0.63888 2.66% 32.6 447s
133898 20925 cutoff 70 0.62230 0.63884 2.66% 32.6 450s
135692 21024 0.62815 88 89 0.62230 0.63862 2.62% 32.6 456s
137096 21116 cutoff 53 0.62230 0.63848 2.60% 32.6 460s
138340 21121 0.63138 71 112 0.62230 0.63833 2.57% 32.7 465s
140023 21186 0.63778 60 106 0.62230 0.63810 2.54% 32.7 470s
141424 21243 cutoff 70 0.62230 0.63791 2.51% 32.7 475s
143091 21239 0.63170 47 141 0.62230 0.63770 2.47% 32.8 481s
144533 21252 0.62580 38 142 0.62230 0.63754 2.45% 32.8 485s
146160 21293 infeasible 71 0.62230 0.63730 2.41% 32.8 491s
147616 21349 0.63630 63 114 0.62230 0.63714 2.38% 32.8 495s
149111 21240 0.63522 77 96 0.62230 0.63690 2.35% 32.9 501s
150354 21221 0.63675 67 117 0.62230 0.63676 2.32% 32.9 505s
152084 21223 0.62915 52 137 0.62230 0.63651 2.28% 32.9 510s
153750 21161 cutoff 54 0.62230 0.63634 2.26% 32.9 516s
154593 21138 0.63326 42 132 0.62230 0.63623 2.24% 32.9 520s
156230 21071 0.63537 73 114 0.62230 0.63602 2.20% 33.0 525s
157738 20939 0.63071 118 66 0.62230 0.63586 2.18% 33.0 531s
159018 20962 0.63118 99 98 0.62230 0.63568 2.15% 33.0 535s
160549 20823 cutoff 53 0.62230 0.63547 2.12% 33.1 540s
162220 20818 infeasible 36 0.62230 0.63530 2.09% 33.1 545s
163468 20672 cutoff 87 0.62230 0.63511 2.06% 33.2 550s
165040 20550 cutoff 53 0.62230 0.63491 2.03% 33.2 555s
166040 20474 cutoff 69 0.62230 0.63477 2.00% 33.2 560s
166969 20405 infeasible 62 0.62230 0.63469 1.99% 33.2 565s
168297 20233 cutoff 40 0.62230 0.63447 1.96% 33.3 570s
169602 20078 0.63063 79 89 0.62230 0.63430 1.93% 33.3 575s
171092 19976 0.62808 91 88 0.62230 0.63409 1.89% 33.3 580s
172653 19944 cutoff 69 0.62230 0.63394 1.87% 33.3 585s
173917 19750 cutoff 38 0.62230 0.63376 1.84% 33.4 590s
175450 19660 0.63258 105 71 0.62230 0.63356 1.81% 33.4 595s
176799 19566 cutoff 36 0.62230 0.63339 1.78% 33.4 600s
Cutting planes:
Learned: 1
Gomory: 189
Cover: 5
Implied bound: 118
Projected implied bound: 92
MIR: 31
Flow cover: 168
Inf proof: 526
Explored 177136 nodes (5923634 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.622303 0.622303 0.622303
Time limit reached
Best objective 6.223034530400e-01, best bound 6.333515629275e-01, gap 1.7754%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 54
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp3fte5dfj.pyomo.lp
Reading time = 0.02 seconds
x2011: 2491 rows, 1792 columns, 8221 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp64xre7ep.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2491 rows, 1792 columns and 8221 nonzeros
Variable types: 1141 continuous, 651 integer (648 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.614562
Presolve removed 816 rows and 528 columns
Presolve time: 0.04s
Presolved: 1675 rows, 1264 columns, 5934 nonzeros
Variable types: 678 continuous, 586 integer (581 binary)
Root relaxation: objective 8.366283e-01, 1397 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.83663 0 144 0.61456 0.83663 36.1% - 0s
0 0 0.78760 0 145 0.61456 0.78760 28.2% - 0s
0 0 0.78760 0 146 0.61456 0.78760 28.2% - 0s
0 0 0.78574 0 148 0.61456 0.78574 27.9% - 0s
0 0 0.78563 0 149 0.61456 0.78563 27.8% - 0s
0 0 0.78561 0 149 0.61456 0.78561 27.8% - 0s
0 0 0.78561 0 124 0.61456 0.78561 27.8% - 0s
0 2 0.78561 0 123 0.61456 0.78561 27.8% - 0s
781 587 0.75027 11 136 0.61456 0.75027 22.1% 28.0 5s
2025 752 0.68358 29 143 0.61456 0.72968 18.7% 31.9 10s
3298 1232 0.63888 26 156 0.61456 0.70659 15.0% 31.4 15s
5270 2035 0.67844 35 140 0.61456 0.69461 13.0% 31.1 20s
7854 3211 0.63613 37 138 0.61456 0.68843 12.0% 29.2 25s
9837 3863 0.62120 46 142 0.61456 0.68412 11.3% 30.2 30s
11663 4401 cutoff 43 0.61456 0.68031 10.7% 30.4 35s
12902 4654 0.66935 35 135 0.61456 0.67844 10.4% 31.2 40s
14761 5219 0.66314 36 142 0.61456 0.67630 10.0% 31.4 45s
16430 5647 0.62738 32 153 0.61456 0.67471 9.79% 32.0 50s
17938 5985 cutoff 41 0.61456 0.67319 9.54% 32.8 55s
20129 6681 0.64740 34 139 0.61456 0.67134 9.24% 32.7 60s
20801 6892 0.65464 31 124 0.61456 0.67092 9.17% 32.8 79s
20803 6893 0.66171 32 112 0.61456 0.67092 9.17% 32.7 80s
20814 6901 0.63317 44 177 0.61456 0.67092 9.17% 32.7 85s
20820 6905 0.65751 42 193 0.61456 0.67092 9.17% 32.7 90s
20824 6907 0.66317 39 222 0.61456 0.67092 9.17% 32.7 95s
20829 6911 0.62365 39 205 0.61456 0.67092 9.17% 32.7 100s
20833 6913 0.63348 63 216 0.61456 0.67092 9.17% 32.7 105s
20837 6916 0.63338 72 198 0.61456 0.67092 9.17% 32.7 110s
20843 6920 0.66898 33 193 0.61456 0.67092 9.17% 32.7 116s
20847 6923 0.65271 46 207 0.61456 0.67092 9.17% 32.7 120s
20852 6926 0.61987 80 215 0.61456 0.67092 9.17% 32.7 125s
20857 6929 0.63822 43 207 0.61456 0.67092 9.17% 32.7 131s
20861 6932 0.66023 42 209 0.61456 0.67092 9.17% 32.7 136s
20865 6935 0.66952 34 202 0.61456 0.67092 9.17% 32.6 141s
20869 6937 0.62956 37 212 0.61456 0.67092 9.17% 32.6 146s
20873 6940 0.66678 40 205 0.61456 0.67092 9.17% 32.6 151s
20877 6943 0.63248 35 199 0.61456 0.67092 9.17% 32.6 156s
20880 6945 0.65817 40 213 0.61456 0.67092 9.17% 32.6 160s
20884 6947 0.63869 55 225 0.61456 0.67092 9.17% 32.6 165s
20888 6950 0.62818 56 218 0.61456 0.67092 9.17% 32.6 170s
20892 6953 0.63381 32 211 0.61456 0.67092 9.17% 32.6 175s
20896 6955 0.63159 98 207 0.61456 0.67092 9.17% 32.6 180s
20900 6958 0.63235 37 213 0.61456 0.67092 9.17% 32.6 185s
20904 6961 0.66650 47 205 0.61456 0.67092 9.17% 32.6 190s
20907 6963 0.62284 64 205 0.61456 0.67092 9.17% 32.6 195s
H20910 6614 0.6145622 0.67092 9.17% 32.6 200s
20915 6617 0.66349 27 206 0.61456 0.67092 9.17% 32.6 206s
20918 6619 0.63247 40 205 0.61456 0.67092 9.17% 32.6 210s
20921 6621 0.65156 29 201 0.61456 0.67092 9.17% 32.6 215s
20925 6624 0.63230 45 202 0.61456 0.67092 9.17% 32.6 221s
20928 6626 0.63182 54 209 0.61456 0.67092 9.17% 32.6 225s
20932 6628 0.67028 34 215 0.61456 0.67092 9.17% 32.5 230s
20936 6631 0.66939 33 216 0.61456 0.67092 9.17% 32.5 235s
20940 6634 0.62674 57 221 0.61456 0.67092 9.17% 32.5 240s
20945 6637 0.63929 35 218 0.61456 0.67092 9.17% 32.5 246s
20949 6640 0.64317 35 218 0.61456 0.67092 9.17% 32.5 250s
20953 6642 0.63886 42 225 0.61456 0.67092 9.17% 32.5 255s
20957 6645 0.63822 43 233 0.61456 0.67092 9.17% 32.5 261s
20961 6648 0.66023 42 213 0.61456 0.67092 9.17% 32.5 266s
20964 6650 0.62757 45 222 0.61456 0.67092 9.17% 32.5 270s
20968 6652 0.63700 32 220 0.61456 0.67092 9.17% 32.5 275s
H20968 6317 0.6145622 0.67089 9.16% 32.5 278s
20971 6319 0.65549 46 211 0.61456 0.67057 9.11% 32.5 281s
20975 6322 0.62321 38 212 0.61456 0.66990 9.00% 32.5 285s
20978 6324 0.65753 32 218 0.61456 0.66985 9.00% 32.5 291s
20982 6327 0.65916 45 212 0.61456 0.66979 8.99% 32.5 296s
20986 6329 0.65803 33 209 0.61456 0.66977 8.98% 32.5 300s
20990 6332 0.65616 43 213 0.61456 0.66976 8.98% 32.5 305s
20994 6335 0.66873 28 210 0.61456 0.66961 8.96% 32.4 310s
20998 6337 0.61853 178 213 0.61456 0.66941 8.93% 32.4 316s
21002 6340 0.61921 103 208 0.61456 0.66940 8.92% 32.4 322s
21005 6342 0.64631 69 229 0.61456 0.66937 8.92% 32.4 325s
21008 6344 0.62028 80 212 0.61456 0.66936 8.92% 32.4 331s
21011 6346 0.62563 53 233 0.61456 0.66922 8.89% 32.4 335s
21015 6349 0.66349 27 229 0.61456 0.66920 8.89% 32.4 340s
21016 6352 0.66788 22 204 0.61456 0.66920 8.89% 34.9 345s
21018 6354 0.65766 23 208 0.61456 0.66857 8.79% 34.9 350s
21022 6356 0.65721 24 230 0.61456 0.66843 8.77% 35.0 355s
21071 6382 0.63924 31 202 0.61456 0.66760 8.63% 35.5 360s
21185 6418 cutoff 48 0.61456 0.66760 8.63% 35.9 366s
21309 6447 0.65056 38 155 0.61456 0.66682 8.50% 36.0 370s
H21312 6126 0.6145622 0.66682 8.50% 36.0 370s
21730 6189 0.64682 32 207 0.61456 0.66270 7.83% 37.1 375s
22138 6269 0.61865 49 176 0.61456 0.65961 7.33% 38.6 380s
22607 6363 0.62299 45 190 0.61456 0.65501 6.58% 39.7 385s
22932 6375 cutoff 39 0.61456 0.65305 6.26% 41.3 390s
23323 6373 0.63728 50 133 0.61456 0.65105 5.94% 42.9 395s
23809 6380 cutoff 34 0.61456 0.65006 5.78% 44.3 401s
24125 6340 0.64899 33 203 0.61456 0.64899 5.60% 45.5 405s
24471 6305 0.63127 37 182 0.61456 0.64803 5.45% 47.1 410s
24800 6292 cutoff 48 0.61456 0.64693 5.27% 48.4 415s
25378 6279 0.63030 40 195 0.61456 0.64602 5.12% 49.8 421s
25829 6270 0.62562 53 177 0.61456 0.64541 5.02% 50.7 426s
26256 6285 0.63015 37 210 0.61456 0.64452 4.87% 51.7 430s
26715 6248 0.62888 43 175 0.61456 0.64366 4.73% 52.9 435s
27257 6195 0.63758 42 169 0.61456 0.64203 4.47% 54.1 441s
27808 6204 0.61827 39 194 0.61456 0.64064 4.24% 54.9 447s
28125 6199 0.63667 39 196 0.61456 0.63996 4.13% 55.5 451s
28619 6121 infeasible 38 0.61456 0.63927 4.02% 57.0 464s
29049 6163 0.62333 47 164 0.61456 0.63881 3.95% 57.5 467s
29536 6165 cutoff 55 0.61456 0.63840 3.88% 57.9 471s
30043 6156 0.61793 55 167 0.61456 0.63766 3.76% 58.4 475s
31184 6169 0.62412 49 135 0.61456 0.63676 3.61% 59.0 483s
31605 6136 infeasible 57 0.61456 0.63628 3.53% 59.6 487s
32099 6143 0.61811 50 142 0.61456 0.63602 3.49% 59.8 491s
32547 6039 0.62388 44 197 0.61456 0.63567 3.43% 60.4 495s
33635 5879 0.62765 49 182 0.61456 0.63468 3.27% 61.4 503s
34075 5788 0.62059 39 202 0.61456 0.63444 3.23% 61.9 507s
34631 5787 0.63145 44 189 0.61456 0.63404 3.17% 62.3 512s
34699 5722 0.62559 48 180 0.61456 0.63383 3.14% 62.4 516s
35215 5718 0.62907 38 201 0.61456 0.63353 3.09% 62.8 520s
36015 5630 0.62858 48 206 0.61456 0.63297 2.99% 63.4 528s
36469 5556 0.62419 57 161 0.61456 0.63244 2.91% 63.8 532s
37007 5556 0.62554 42 187 0.61456 0.63206 2.85% 64.1 536s
37423 5468 0.62371 49 162 0.61456 0.63176 2.80% 64.5 540s
38364 5274 cutoff 45 0.61456 0.63097 2.67% 64.9 547s
38831 5215 0.61865 35 171 0.61456 0.63077 2.64% 65.2 551s
39928 5341 infeasible 55 0.61456 0.63018 2.54% 65.6 558s
40512 5436 0.61633 58 134 0.61456 0.63010 2.53% 65.6 563s
41183 5643 cutoff 51 0.61456 0.62974 2.47% 65.5 566s
41440 5638 0.62390 65 143 0.61456 0.62951 2.43% 66.0 570s
42589 6023 cutoff 56 0.61456 0.62917 2.38% 66.1 577s
43082 6122 0.62402 51 175 0.61456 0.62903 2.35% 66.2 581s
43574 6258 0.61937 65 147 0.61456 0.62890 2.33% 66.3 585s
44679 6551 cutoff 57 0.61456 0.62855 2.28% 66.4 591s
45701 6823 0.62239 63 169 0.61456 0.62820 2.22% 66.5 598s
46328 7047 infeasible 75 0.61456 0.62810 2.20% 66.4 600s
Cutting planes:
Gomory: 198
Cover: 12
Implied bound: 40
Projected implied bound: 87
Clique: 1
MIR: 203
Flow cover: 796
Inf proof: 122
Zero half: 1
Explored 46524 nodes (3090720 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.614562 0.614562 0.614562 0.614562
Time limit reached
Best objective 6.145622367275e-01, best bound 6.279555561287e-01, gap 2.1793%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 55
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpv9ki5ib4.pyomo.lp
Reading time = 0.02 seconds
x2048: 2537 rows, 1825 columns, 8374 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpz6h_d5bx.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2537 rows, 1825 columns and 8374 nonzeros
Variable types: 1162 continuous, 663 integer (660 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.60371
Presolve removed 830 rows and 537 columns
Presolve time: 0.04s
Presolved: 1707 rows, 1288 columns, 6048 nonzeros
Variable types: 691 continuous, 597 integer (592 binary)
Root relaxation: objective 8.212710e-01, 1330 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.82127 0 145 0.60371 0.82127 36.0% - 0s
0 0 0.77419 0 141 0.60371 0.77419 28.2% - 0s
0 0 0.77419 0 141 0.60371 0.77419 28.2% - 0s
0 0 0.77301 0 145 0.60371 0.77301 28.0% - 0s
0 0 0.77300 0 146 0.60371 0.77300 28.0% - 0s
0 0 0.77295 0 151 0.60371 0.77295 28.0% - 0s
0 0 0.77295 0 130 0.60371 0.77295 28.0% - 0s
0 2 0.77295 0 130 0.60371 0.77295 28.0% - 0s
754 562 0.73827 17 131 0.60371 0.73827 22.3% 27.8 5s
1678 723 0.70318 23 150 0.60371 0.72054 19.4% 36.8 10s
3484 1380 0.62191 46 137 0.60371 0.69765 15.6% 31.9 16s
4923 1927 cutoff 45 0.60371 0.68804 14.0% 30.8 20s
7050 2701 0.65012 30 130 0.60371 0.67662 12.1% 31.4 25s
9541 3671 0.61394 50 129 0.60371 0.67180 11.3% 29.6 30s
11432 4276 0.62552 48 152 0.60371 0.66832 10.7% 29.4 35s
12972 4816 cutoff 55 0.60371 0.66628 10.4% 29.3 40s
15593 5606 0.64853 45 131 0.60371 0.66304 9.83% 29.1 45s
17171 6026 0.61583 59 125 0.60371 0.66140 9.56% 29.4 50s
19054 6477 cutoff 51 0.60371 0.65915 9.18% 29.7 55s
20672 6818 0.63625 50 130 0.60371 0.65763 8.93% 30.0 79s
20675 6820 0.65649 54 180 0.60371 0.65763 8.93% 30.0 80s
20685 6827 0.62014 44 212 0.60371 0.65763 8.93% 30.0 85s
20692 6831 0.65307 39 206 0.60371 0.65763 8.93% 30.0 90s
20698 6835 0.62011 48 232 0.60371 0.65763 8.93% 30.0 95s
20705 6840 0.62224 64 236 0.60371 0.65763 8.93% 30.0 100s
20712 6845 0.65013 52 243 0.60371 0.65763 8.93% 30.0 105s
20717 6848 0.65018 38 247 0.60371 0.65763 8.93% 30.0 110s
20723 6852 0.65286 51 252 0.60371 0.65763 8.93% 30.0 115s
20729 6856 0.65295 49 245 0.60371 0.65763 8.93% 30.0 120s
20735 6860 0.61511 42 255 0.60371 0.65763 8.93% 29.9 125s
20740 6863 0.65356 35 256 0.60371 0.65763 8.93% 29.9 130s
20746 6867 0.63036 51 267 0.60371 0.65763 8.93% 29.9 135s
20751 6871 0.62627 35 280 0.60371 0.65763 8.93% 29.9 140s
20756 6874 0.61888 50 252 0.60371 0.65763 8.93% 29.9 145s
20762 6878 0.61719 38 261 0.60371 0.65763 8.93% 29.9 150s
20767 6881 0.62249 55 254 0.60371 0.65763 8.93% 29.9 155s
20772 6885 0.63625 50 268 0.60371 0.65763 8.93% 29.9 160s
20778 6889 0.60979 45 257 0.60371 0.65763 8.93% 29.9 165s
20784 6893 0.63055 38 266 0.60371 0.65763 8.93% 29.9 170s
20788 6895 0.63090 42 258 0.60371 0.65763 8.93% 29.9 175s
H20789 6549 0.6037101 0.65763 8.93% 29.9 177s
20792 6551 0.65307 39 249 0.60371 0.65763 8.93% 29.9 180s
20799 6556 0.62765 48 264 0.60371 0.65763 8.93% 29.9 185s
20805 6560 0.62224 64 260 0.60371 0.65763 8.93% 29.8 190s
20810 6563 0.64854 47 274 0.60371 0.65763 8.93% 29.8 195s
20816 6567 0.62552 33 266 0.60371 0.65763 8.93% 29.8 200s
20821 6570 0.61876 73 257 0.60371 0.65763 8.93% 29.8 205s
20826 6574 0.65197 35 264 0.60371 0.65763 8.93% 29.8 210s
20831 6577 0.62882 32 265 0.60371 0.65763 8.93% 29.8 215s
20836 6580 0.61193 46 286 0.60371 0.65763 8.93% 29.8 220s
20842 6584 0.64309 40 268 0.60371 0.65763 8.93% 29.8 225s
20847 6588 0.63557 39 281 0.60371 0.65763 8.93% 29.8 230s
20851 6590 0.62627 35 257 0.60371 0.65763 8.93% 29.8 235s
20856 6594 0.61888 50 280 0.60371 0.65763 8.93% 29.8 240s
20861 6597 0.62691 44 284 0.60371 0.65763 8.93% 29.8 245s
H20866 6266 0.6037101 0.65763 8.93% 29.8 251s
20871 6270 0.64372 50 283 0.60371 0.65763 8.93% 29.8 255s
20878 6274 0.60979 45 280 0.60371 0.65763 8.93% 29.7 261s
20883 6278 0.63893 38 291 0.60371 0.65763 8.93% 29.7 265s
20887 6280 0.63445 38 269 0.60371 0.65763 8.93% 29.7 271s
20888 6283 0.65763 25 245 0.60371 0.65763 8.93% 32.1 277s
20890 6285 0.65763 26 254 0.60371 0.65763 8.93% 32.1 289s
20893 6288 0.65763 27 259 0.60371 0.65763 8.93% 32.2 292s
20909 6297 0.65763 29 258 0.60371 0.65763 8.93% 32.4 295s
21100 6333 0.64535 55 188 0.60371 0.65763 8.93% 33.5 300s
21513 6423 0.63706 101 117 0.60371 0.65763 8.93% 34.3 305s
21939 6507 0.62523 38 207 0.60371 0.65763 8.93% 35.2 310s
22301 6546 0.62998 34 221 0.60371 0.65763 8.93% 36.8 315s
22860 6651 0.61472 51 195 0.60371 0.65763 8.93% 37.9 320s
23358 6706 0.65496 35 217 0.60371 0.65763 8.93% 39.1 326s
23733 6713 0.64718 48 210 0.60371 0.65618 8.69% 40.0 330s
24102 6737 0.63698 42 193 0.60371 0.65489 8.48% 41.0 335s
24547 6748 0.61595 32 191 0.60371 0.65389 8.31% 41.8 341s
25130 6819 0.64056 39 213 0.60371 0.65257 8.09% 42.7 346s
25515 6844 0.62218 40 188 0.60371 0.65137 7.89% 43.3 350s
26177 6934 infeasible 52 0.60371 0.65014 7.69% 44.3 357s
26669 6999 0.64184 42 219 0.60371 0.64908 7.52% 45.0 362s
27163 7015 cutoff 52 0.60371 0.64811 7.35% 45.9 367s
27452 7048 0.62557 53 182 0.60371 0.64786 7.31% 46.3 375s
27825 7056 infeasible 40 0.60371 0.64734 7.23% 47.0 381s
28417 7069 0.61316 51 205 0.60371 0.64667 7.12% 48.0 387s
28836 7144 0.62821 47 207 0.60371 0.64641 7.07% 48.3 391s
29424 7197 0.60968 65 173 0.60371 0.64567 6.95% 49.1 397s
29798 7205 0.62750 70 168 0.60371 0.64567 6.95% 49.6 401s
30263 7294 0.62926 57 163 0.60371 0.64503 6.84% 49.9 405s
31283 7477 cutoff 57 0.60371 0.64430 6.72% 50.5 414s
31756 7582 0.60871 54 211 0.60371 0.64413 6.70% 50.9 417s
32116 7594 0.60958 55 130 0.60371 0.64392 6.66% 51.5 422s
32575 7667 0.60863 80 134 0.60371 0.64367 6.62% 51.8 425s
33268 7745 0.63713 53 213 0.60371 0.64315 6.53% 52.5 433s
33659 7772 0.62644 51 189 0.60371 0.64306 6.52% 53.0 438s
33708 7752 0.63068 53 180 0.60371 0.64286 6.49% 53.1 443s
34134 7746 0.63537 81 136 0.60371 0.64283 6.48% 53.5 447s
34619 7832 0.62150 59 158 0.60371 0.64265 6.45% 53.8 451s
35075 7914 0.62721 32 239 0.60371 0.64234 6.40% 54.1 455s
35835 7988 cutoff 56 0.60371 0.64193 6.33% 54.9 464s
36242 8014 0.61403 44 225 0.60371 0.64164 6.28% 55.3 468s
36647 8048 0.62486 53 165 0.60371 0.64150 6.26% 55.7 472s
37055 8113 0.63700 57 178 0.60371 0.64126 6.22% 56.0 476s
37488 8150 0.62019 47 209 0.60371 0.64115 6.20% 56.3 480s
38180 8211 0.62310 69 148 0.60371 0.64093 6.16% 57.0 488s
38614 8233 0.60676 49 154 0.60371 0.64066 6.12% 57.3 492s
38987 8271 0.61974 61 177 0.60371 0.64044 6.08% 57.5 496s
39364 8285 0.61469 56 182 0.60371 0.64029 6.06% 57.9 500s
39822 8359 0.63575 60 159 0.60371 0.64011 6.03% 58.2 505s
40611 8668 0.61156 32 251 0.60371 0.63988 5.99% 58.8 513s
41006 8822 0.61250 53 198 0.60371 0.63977 5.97% 59.2 517s
41452 8993 0.61433 60 126 0.60371 0.63961 5.95% 59.4 521s
41834 9176 0.60767 74 134 0.60371 0.63946 5.92% 59.8 525s
42172 9292 cutoff 56 0.60371 0.63928 5.89% 60.2 530s
42925 9585 0.62032 49 206 0.60371 0.63908 5.86% 60.7 538s
43377 9746 infeasible 71 0.60371 0.63899 5.84% 61.0 542s
43791 9878 cutoff 63 0.60371 0.63882 5.82% 61.3 546s
44179 10020 cutoff 47 0.60371 0.63873 5.80% 61.4 550s
44807 10187 0.62428 60 189 0.60371 0.63849 5.76% 62.4 558s
45173 10311 0.63191 39 221 0.60371 0.63825 5.72% 62.7 563s
45560 10464 0.63096 53 186 0.60371 0.63813 5.70% 63.0 567s
45970 10623 0.61638 68 170 0.60371 0.63806 5.69% 63.3 571s
46386 10784 0.62827 56 188 0.60371 0.63788 5.66% 63.6 575s
46640 10840 0.61973 68 160 0.60371 0.63784 5.65% 64.1 580s
47513 11151 0.63102 54 197 0.60371 0.63751 5.60% 64.6 588s
47838 11253 0.60780 68 173 0.60371 0.63744 5.59% 65.0 592s
48040 11305 0.61985 61 166 0.60371 0.63738 5.58% 65.1 597s
48551 11486 0.61390 57 163 0.60371 0.63722 5.55% 65.3 600s
Cutting planes:
Gomory: 207
Cover: 7
Implied bound: 57
Projected implied bound: 88
MIR: 220
StrongCG: 6
Flow cover: 779
Inf proof: 144
Zero half: 1
Explored 48806 nodes (3198731 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.60371 0.60371 0.60371
Time limit reached
Best objective 6.037100726165e-01, best bound 6.371155414727e-01, gap 5.5334%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 56
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpkder0zgs.pyomo.lp
Reading time = 0.02 seconds
x2085: 2583 rows, 1858 columns, 8527 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpq1mjttmq.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2583 rows, 1858 columns and 8527 nonzeros
Variable types: 1183 continuous, 675 integer (672 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.600936
Presolve removed 844 rows and 546 columns
Presolve time: 0.04s
Presolved: 1739 rows, 1312 columns, 6162 nonzeros
Variable types: 704 continuous, 608 integer (603 binary)
Root relaxation: objective 8.128890e-01, 1330 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.81289 0 152 0.60094 0.81289 35.3% - 0s
0 0 0.78465 0 156 0.60094 0.78465 30.6% - 0s
0 0 0.78465 0 154 0.60094 0.78465 30.6% - 0s
0 0 0.78241 0 155 0.60094 0.78241 30.2% - 0s
0 0 0.78240 0 151 0.60094 0.78240 30.2% - 0s
0 0 0.78196 0 164 0.60094 0.78196 30.1% - 0s
0 0 0.78196 0 164 0.60094 0.78196 30.1% - 0s
0 0 0.78195 0 167 0.60094 0.78195 30.1% - 0s
0 0 0.78195 0 167 0.60094 0.78195 30.1% - 0s
0 0 0.78195 0 137 0.60094 0.78195 30.1% - 0s
0 2 0.78195 0 135 0.60094 0.78195 30.1% - 0s
750 556 0.73458 14 154 0.60094 0.73458 22.2% 26.3 5s
1761 753 0.65756 26 139 0.60094 0.70798 17.8% 30.4 10s
3116 1217 0.64699 39 145 0.60094 0.68647 14.2% 29.5 15s
4562 1738 0.64225 63 118 0.60094 0.67853 12.9% 31.0 20s
6195 2158 infeasible 58 0.60094 0.67280 12.0% 33.1 25s
7515 2566 cutoff 40 0.60094 0.66950 11.4% 33.8 30s
8807 2854 0.65897 49 145 0.60094 0.66673 10.9% 34.7 35s
10023 3106 0.63239 38 148 0.60094 0.66454 10.6% 35.0 40s
11518 3468 cutoff 38 0.60094 0.66218 10.2% 35.5 45s
13171 3868 0.62010 57 125 0.60094 0.65984 9.80% 35.7 50s
H13173 3868 0.6009361 0.65984 9.80% 35.7 50s
14000 4046 infeasible 35 0.60094 0.65894 9.65% 35.9 55s
15342 4291 cutoff 57 0.60094 0.65699 9.33% 36.6 60s
16884 4615 0.61214 53 101 0.60094 0.65506 9.01% 36.8 65s
18407 4906 0.64282 40 144 0.60094 0.65311 8.68% 37.1 70s
19946 5096 cutoff 31 0.60094 0.65068 8.28% 37.5 75s
20773 5246 infeasible 57 0.60094 0.64972 8.12% 37.6 95s
22199 5494 0.62696 43 156 0.60094 0.64804 7.84% 38.0 100s
23185 5631 0.60417 42 126 0.60094 0.64670 7.61% 38.5 105s
24575 5809 0.62830 51 134 0.60094 0.64541 7.40% 39.0 110s
26049 6093 0.61193 49 143 0.60094 0.64395 7.16% 39.3 116s
27122 6244 cutoff 46 0.60094 0.64280 6.97% 39.7 120s
28765 6574 cutoff 27 0.60094 0.64134 6.72% 39.9 126s
30197 6880 0.63764 63 132 0.60094 0.64034 6.56% 39.9 130s
31691 7118 0.63183 76 118 0.60094 0.63918 6.36% 40.1 136s
33068 7424 0.61102 41 136 0.60094 0.63835 6.23% 40.1 140s
34887 7880 0.61148 46 146 0.60094 0.63758 6.10% 40.1 145s
36743 8378 0.61908 50 128 0.60094 0.63681 5.97% 39.9 151s
38168 8707 0.62842 45 148 0.60094 0.63618 5.86% 39.8 155s
39785 9060 0.60933 50 148 0.60094 0.63561 5.77% 39.7 160s
41566 9428 0.60271 67 121 0.60094 0.63493 5.66% 39.6 165s
43465 9864 0.61457 67 122 0.60094 0.63420 5.54% 39.3 171s
45340 10293 infeasible 50 0.60094 0.63344 5.41% 39.2 176s
46790 10470 infeasible 46 0.60094 0.63293 5.32% 39.2 181s
48159 10785 infeasible 43 0.60094 0.63255 5.26% 39.1 185s
49822 11257 0.61253 53 128 0.60094 0.63209 5.18% 38.7 191s
51375 11575 0.62442 47 149 0.60094 0.63169 5.12% 38.6 195s
53013 11900 0.61774 86 99 0.60094 0.63120 5.04% 38.5 200s
55013 12438 cutoff 67 0.60094 0.63067 4.95% 38.2 205s
56447 12586 0.60299 99 97 0.60094 0.63021 4.87% 38.3 210s
58532 12989 cutoff 24 0.60094 0.62967 4.78% 38.2 216s
59986 13281 0.61292 59 131 0.60094 0.62931 4.72% 38.2 220s
61507 13535 0.61639 52 140 0.60094 0.62894 4.66% 38.2 225s
62552 13770 cutoff 67 0.60094 0.62884 4.64% 38.1 230s
64412 14209 0.60597 62 129 0.60094 0.62835 4.56% 37.9 235s
66202 14571 infeasible 73 0.60094 0.62803 4.51% 37.8 240s
67661 14762 0.62656 57 132 0.60094 0.62776 4.46% 37.9 245s
69466 15152 0.61482 58 139 0.60094 0.62746 4.41% 37.8 250s
71793 15631 cutoff 64 0.60094 0.62706 4.35% 37.6 256s
72491 15725 0.60501 57 133 0.60094 0.62697 4.33% 37.7 260s
73956 15958 0.62102 50 151 0.60094 0.62675 4.30% 37.7 265s
75464 16249 0.61445 57 143 0.60094 0.62647 4.25% 37.7 270s
77392 16653 cutoff 74 0.60094 0.62619 4.20% 37.6 275s
79082 16982 0.60908 56 129 0.60094 0.62593 4.16% 37.6 280s
80611 17184 0.61819 61 136 0.60094 0.62569 4.12% 37.6 285s
82144 17404 0.61889 68 127 0.60094 0.62546 4.08% 37.6 291s
83224 17541 0.61985 86 124 0.60094 0.62533 4.06% 37.7 295s
84995 17816 0.60585 74 112 0.60094 0.62508 4.02% 37.6 300s
86650 18062 0.61432 60 135 0.60094 0.62486 3.98% 37.7 305s
88414 18285 cutoff 84 0.60094 0.62462 3.94% 37.7 310s
89999 18485 0.60215 49 119 0.60094 0.62441 3.91% 37.7 316s
91211 18625 0.61647 50 128 0.60094 0.62424 3.88% 37.7 320s
93197 18989 0.62248 69 137 0.60094 0.62405 3.85% 37.6 325s
94248 19227 cutoff 72 0.60094 0.62392 3.83% 37.5 330s
95866 19451 0.60520 57 143 0.60094 0.62373 3.79% 37.5 335s
97876 19946 cutoff 66 0.60094 0.62356 3.76% 37.4 341s
99404 20320 cutoff 74 0.60094 0.62341 3.74% 37.3 345s
101233 20673 cutoff 109 0.60094 0.62319 3.70% 37.2 350s
102947 21166 0.60583 90 103 0.60094 0.62302 3.67% 37.0 355s
104736 21482 0.61759 99 98 0.60094 0.62286 3.65% 36.9 360s
106388 21746 infeasible 122 0.60094 0.62268 3.62% 36.8 365s
108208 22182 cutoff 61 0.60094 0.62253 3.59% 36.7 370s
109791 22425 cutoff 101 0.60094 0.62235 3.56% 36.7 375s
111667 22853 cutoff 105 0.60094 0.62223 3.54% 36.7 380s
113592 23293 0.61440 101 105 0.60094 0.62210 3.52% 36.6 385s
115438 23584 0.60865 86 109 0.60094 0.62195 3.50% 36.5 390s
117493 24083 0.61163 53 131 0.60094 0.62181 3.47% 36.3 395s
119141 24417 0.62043 102 99 0.60094 0.62173 3.46% 36.3 400s
121170 24773 cutoff 89 0.60094 0.62152 3.42% 36.2 406s
122357 25096 0.62093 70 113 0.60094 0.62146 3.41% 36.1 410s
124077 25471 0.60230 57 146 0.60094 0.62134 3.40% 36.1 415s
125937 25858 0.61505 54 138 0.60094 0.62122 3.37% 36.0 420s
127575 26192 cutoff 57 0.60094 0.62110 3.36% 36.0 425s
129315 26539 0.61288 86 116 0.60094 0.62097 3.33% 36.0 430s
131457 27065 0.60348 58 136 0.60094 0.62085 3.31% 35.9 435s
133579 27597 0.60824 55 148 0.60094 0.62073 3.29% 35.8 441s
135355 28053 cutoff 55 0.60094 0.62066 3.28% 35.7 445s
137200 28380 0.60456 102 93 0.60094 0.62053 3.26% 35.7 451s
139047 28763 cutoff 82 0.60094 0.62044 3.25% 35.6 456s
140495 29033 infeasible 62 0.60094 0.62035 3.23% 35.6 460s
142497 29468 0.61408 85 112 0.60094 0.62026 3.22% 35.5 465s
143826 29807 cutoff 74 0.60094 0.62019 3.20% 35.5 470s
144685 29952 0.61005 102 110 0.60094 0.62014 3.20% 35.4 475s
146479 30343 0.60524 65 138 0.60094 0.62004 3.18% 35.4 480s
148354 30774 0.61382 101 104 0.60094 0.61994 3.16% 35.4 486s
149742 31080 0.60594 107 90 0.60094 0.61989 3.15% 35.4 490s
151821 31566 0.61665 85 125 0.60094 0.61981 3.14% 35.3 495s
153411 31892 0.61899 89 134 0.60094 0.61972 3.13% 35.3 500s
155351 32275 0.60707 75 139 0.60094 0.61964 3.11% 35.3 505s
156815 32628 0.61455 88 126 0.60094 0.61957 3.10% 35.3 510s
158851 33096 0.60615 117 98 0.60094 0.61946 3.08% 35.2 515s
161020 33619 0.60488 88 129 0.60094 0.61937 3.07% 35.2 520s
162974 34060 0.60566 112 76 0.60094 0.61929 3.05% 35.1 525s
164751 34373 0.61653 99 94 0.60094 0.61922 3.04% 35.1 531s
166238 34689 0.60512 117 85 0.60094 0.61916 3.03% 35.1 535s
168136 35140 0.60397 60 137 0.60094 0.61909 3.02% 35.0 540s
169931 35438 infeasible 65 0.60094 0.61902 3.01% 35.0 545s
171756 35754 0.60603 109 91 0.60094 0.61893 2.99% 35.0 550s
172895 36049 0.60834 104 107 0.60094 0.61889 2.99% 35.0 555s
174359 36315 cutoff 118 0.60094 0.61884 2.98% 35.0 560s
175812 36564 0.60637 64 144 0.60094 0.61876 2.97% 34.9 565s
177850 36980 cutoff 67 0.60094 0.61867 2.95% 34.9 570s
179884 37401 cutoff 110 0.60094 0.61860 2.94% 34.9 576s
181199 37620 cutoff 105 0.60094 0.61854 2.93% 34.9 580s
183061 37972 0.60171 106 114 0.60094 0.61843 2.91% 34.9 585s
184703 38185 0.60230 87 124 0.60094 0.61836 2.90% 34.9 591s
186039 38409 0.60512 90 124 0.60094 0.61829 2.89% 34.9 595s
187386 38643 0.60744 58 151 0.60094 0.61823 2.88% 35.0 600s
Cutting planes:
Learned: 1
Gomory: 177
Cover: 3
Implied bound: 165
Projected implied bound: 83
MIR: 23
Flow cover: 203
Inf proof: 525
Explored 187649 nodes (6562883 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 2: 0.600936 0.600936
Time limit reached
Best objective 6.009361002928e-01, best bound 6.182191794728e-01, gap 2.8760%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 57
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmp6ttw0s19.pyomo.lp
Reading time = 0.02 seconds
x2122: 2629 rows, 1891 columns, 8680 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpwkb347wg.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2629 rows, 1891 columns and 8680 nonzeros
Variable types: 1204 continuous, 687 integer (684 binary)
Coefficient statistics:
Matrix range [5e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.591912
Presolve removed 858 rows and 555 columns
Presolve time: 0.04s
Presolved: 1771 rows, 1336 columns, 6276 nonzeros
Variable types: 717 continuous, 619 integer (614 binary)
Root relaxation: objective 7.993432e-01, 1341 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.79934 0 149 0.59191 0.79934 35.0% - 0s
0 0 0.77096 0 151 0.59191 0.77096 30.2% - 0s
0 0 0.77096 0 151 0.59191 0.77096 30.2% - 0s
0 0 0.76931 0 152 0.59191 0.76931 30.0% - 0s
0 0 0.76931 0 152 0.59191 0.76931 30.0% - 0s
0 0 0.76874 0 164 0.59191 0.76874 29.9% - 0s
0 0 0.76869 0 164 0.59191 0.76869 29.9% - 0s
0 0 0.76869 0 168 0.59191 0.76869 29.9% - 0s
0 0 0.76863 0 172 0.59191 0.76863 29.9% - 0s
0 0 0.76863 0 147 0.59191 0.76863 29.9% - 0s
0 2 0.76863 0 144 0.59191 0.76863 29.9% - 0s
778 628 0.72209 16 136 0.59191 0.72209 22.0% 26.2 6s
1536 770 0.62477 39 145 0.59191 0.71166 20.2% 31.9 10s
2511 850 0.64806 39 147 0.59191 0.69530 17.5% 33.6 15s
4429 1658 cutoff 40 0.59191 0.67377 13.8% 31.2 20s
5774 2149 infeasible 33 0.59191 0.66680 12.7% 30.8 25s
7904 2917 0.65606 36 143 0.59191 0.65918 11.4% 30.7 30s
9815 3656 0.60475 38 133 0.59191 0.65563 10.8% 29.9 36s
11315 4245 infeasible 35 0.59191 0.65400 10.5% 29.2 40s
13003 4740 cutoff 42 0.59191 0.65128 10.0% 30.0 45s
H13011 4742 0.5919117 0.65128 10.0% 30.0 45s
14247 5071 0.59531 40 137 0.59191 0.65005 9.82% 30.5 50s
15354 5477 cutoff 39 0.59191 0.64911 9.66% 30.5 55s
17261 6054 cutoff 37 0.59191 0.64741 9.38% 30.6 60s
18889 6524 cutoff 48 0.59191 0.64581 9.11% 30.8 65s
20656 7089 0.61891 45 147 0.59191 0.64452 8.89% 31.2 89s
20659 7091 0.60350 98 177 0.59191 0.64452 8.89% 31.2 90s
20669 7098 0.60557 58 235 0.59191 0.64452 8.89% 31.1 95s
20673 7100 0.62414 39 223 0.59191 0.64452 8.89% 31.1 100s
20680 7105 0.62144 47 244 0.59191 0.64452 8.89% 31.1 105s
20684 7108 0.60764 41 241 0.59191 0.64452 8.89% 31.1 111s
20687 7110 0.61264 43 253 0.59191 0.64452 8.89% 31.1 115s
20690 7112 0.61470 49 259 0.59191 0.64452 8.89% 31.1 120s
20695 7115 0.61144 43 262 0.59191 0.64452 8.89% 31.1 125s
20699 7118 0.59885 44 242 0.59191 0.64452 8.89% 31.1 130s
20705 7122 0.60359 44 266 0.59191 0.64452 8.89% 31.1 135s
20708 7124 0.60894 35 267 0.59191 0.64452 8.89% 31.1 140s
20712 7126 0.62658 49 265 0.59191 0.64452 8.89% 31.1 145s
20716 7129 0.59476 205 246 0.59191 0.64452 8.89% 31.1 151s
20720 7132 0.60842 46 269 0.59191 0.64452 8.89% 31.1 156s
20725 7135 0.59759 66 291 0.59191 0.64452 8.89% 31.1 160s
20730 7138 0.64368 37 277 0.59191 0.64452 8.89% 31.1 165s
20736 7142 0.62813 50 268 0.59191 0.64452 8.89% 31.0 172s
20740 7145 0.60445 41 270 0.59191 0.64452 8.89% 31.0 175s
20744 7148 0.60625 72 276 0.59191 0.64452 8.89% 31.0 180s
20750 7152 0.62292 37 291 0.59191 0.64452 8.89% 31.0 186s
20755 7155 0.62387 59 273 0.59191 0.64452 8.89% 31.0 190s
20760 7158 0.59676 47 285 0.59191 0.64452 8.89% 31.0 195s
20765 7162 0.63397 39 285 0.59191 0.64452 8.89% 31.0 200s
20770 7165 0.62669 40 284 0.59191 0.64452 8.89% 31.0 205s
20774 7168 0.60907 99 279 0.59191 0.64452 8.89% 31.0 210s
20778 7170 0.61789 88 279 0.59191 0.64452 8.89% 31.0 215s
20783 7174 0.62337 35 278 0.59191 0.64452 8.89% 31.0 220s
20788 7177 0.59696 189 283 0.59191 0.64452 8.89% 31.0 225s
20792 7180 0.63733 37 286 0.59191 0.64452 8.89% 31.0 230s
20799 7184 0.59885 44 277 0.59191 0.64452 8.89% 31.0 235s
20804 7188 0.60443 58 275 0.59191 0.64452 8.89% 30.9 242s
20807 7190 0.62118 34 285 0.59191 0.64452 8.89% 30.9 245s
20812 7193 0.62658 49 273 0.59191 0.64452 8.89% 30.9 250s
20817 7196 0.60469 51 286 0.59191 0.64452 8.89% 30.9 255s
20823 7200 0.59620 53 279 0.59191 0.64452 8.89% 30.9 260s
20828 7204 0.63876 44 279 0.59191 0.64452 8.89% 30.9 265s
20833 7207 0.60965 30 276 0.59191 0.64452 8.89% 30.9 270s
20837 7210 0.64114 40 289 0.59191 0.64452 8.89% 30.9 275s
20841 7212 0.61089 48 272 0.59191 0.64452 8.89% 30.9 280s
20844 7214 0.60625 72 274 0.59191 0.64452 8.89% 30.9 285s
20849 7218 0.62774 34 276 0.59191 0.64452 8.89% 30.9 290s
20854 7221 0.62567 35 279 0.59191 0.64452 8.89% 30.9 296s
20858 7224 0.60172 44 274 0.59191 0.64452 8.89% 30.9 300s
20862 7226 0.64449 39 282 0.59191 0.64452 8.89% 30.9 305s
20865 7228 0.63397 39 269 0.59191 0.64452 8.89% 30.9 310s
20870 7232 0.62669 40 270 0.59191 0.64452 8.89% 30.8 315s
20873 7236 0.64452 29 267 0.59191 0.64452 8.89% 34.2 323s
20875 7235 0.64452 30 246 0.59191 0.64452 8.89% 34.2 329s
20878 7234 0.64452 31 243 0.59191 0.64452 8.89% 34.3 335s
20888 7238 0.64452 34 251 0.59191 0.64452 8.89% 34.4 340s
H20901 6871 0.5919117 0.64452 8.89% 34.6 343s
20939 6885 0.63067 42 203 0.59191 0.64452 8.89% 34.8 345s
21073 6903 cutoff 63 0.59191 0.64452 8.89% 35.2 350s
21366 7014 0.61874 88 148 0.59191 0.64452 8.89% 35.8 355s
21724 7070 0.62736 48 171 0.59191 0.64452 8.89% 37.0 360s
21920 7130 0.61949 47 195 0.59191 0.64452 8.89% 37.5 365s
22205 7211 0.64044 41 221 0.59191 0.64452 8.89% 38.5 370s
22504 7231 cutoff 42 0.59191 0.64452 8.89% 39.8 376s
22772 7258 0.63470 43 205 0.59191 0.64452 8.89% 40.8 381s
23021 7321 0.60822 48 205 0.59191 0.64452 8.89% 41.3 385s
23279 7360 infeasible 48 0.59191 0.64452 8.89% 42.1 390s
23591 7387 0.63463 59 180 0.59191 0.64385 8.78% 43.2 395s
23872 7437 0.63958 44 239 0.59191 0.64338 8.70% 44.4 401s
24043 7486 0.59280 67 192 0.59191 0.64312 8.65% 44.9 406s
24277 7494 0.62472 47 220 0.59191 0.64256 8.56% 45.8 410s
24701 7498 0.61874 54 197 0.59191 0.64084 8.27% 47.3 417s
24857 7497 0.61174 61 172 0.59191 0.64047 8.20% 47.9 420s
25036 7487 cutoff 51 0.59191 0.64025 8.17% 48.7 425s
25422 7541 0.59936 49 173 0.59191 0.63994 8.11% 49.6 431s
25804 7521 0.61057 50 202 0.59191 0.63926 8.00% 50.9 437s
26026 7523 cutoff 47 0.59191 0.63903 7.96% 51.4 445s
26289 7552 infeasible 53 0.59191 0.63847 7.87% 52.1 452s
26495 7597 0.61774 45 216 0.59191 0.63822 7.82% 52.6 455s
26935 7622 0.62993 43 199 0.59191 0.63741 7.69% 53.9 463s
27265 7683 0.62930 40 241 0.59191 0.63691 7.60% 54.4 467s
27463 7682 0.60956 47 232 0.59191 0.63651 7.53% 55.2 471s
27647 7688 0.60337 51 189 0.59191 0.63635 7.51% 56.1 475s
27880 7644 0.62672 55 199 0.59191 0.63603 7.45% 56.9 480s
28179 7677 0.62068 44 225 0.59191 0.63555 7.37% 57.6 485s
28412 7705 0.61787 42 220 0.59191 0.63542 7.35% 58.1 490s
28663 7690 0.60160 42 234 0.59191 0.63515 7.31% 59.0 495s
28902 7678 infeasible 55 0.59191 0.63509 7.30% 59.9 500s
29178 7699 0.61341 77 169 0.59191 0.63494 7.27% 60.5 505s
29463 7709 cutoff 46 0.59191 0.63449 7.19% 61.4 511s
29761 7702 0.62447 41 201 0.59191 0.63427 7.16% 62.2 517s
30167 7726 0.61961 42 180 0.59191 0.63383 7.08% 63.0 523s
30558 7768 0.59705 42 187 0.59191 0.63355 7.04% 63.7 529s
31022 7816 cutoff 54 0.59191 0.63347 7.02% 64.4 536s
31562 7876 0.60378 52 213 0.59191 0.63340 7.01% 64.9 542s
32022 7919 0.59371 90 144 0.59191 0.63266 6.88% 65.5 550s
32354 7931 0.62450 49 193 0.59191 0.63242 6.84% 66.1 556s
32746 7905 cutoff 58 0.59191 0.63203 6.78% 66.9 562s
33063 7895 0.60515 59 200 0.59191 0.63176 6.73% 67.9 569s
33422 7921 0.59681 42 215 0.59191 0.63152 6.69% 68.3 575s
33820 7933 cutoff 57 0.59191 0.63133 6.66% 69.1 584s
33914 7912 0.62868 55 175 0.59191 0.63115 6.63% 69.3 591s
34194 7871 0.61326 62 152 0.59191 0.63104 6.61% 70.3 597s
34508 7856 0.60161 52 193 0.59191 0.63078 6.57% 71.2 600s
Cutting planes:
Gomory: 184
Cover: 8
Implied bound: 39
Projected implied bound: 76
Clique: 1
MIR: 215
StrongCG: 9
Flow cover: 809
Inf proof: 86
Zero half: 3
Explored 34632 nodes (2478304 simplex iterations) in 600.02 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.591912 0.591912 0.591912
Time limit reached
Best objective 5.919117027585e-01, best bound 6.306773598087e-01, gap 6.5492%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 58
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpz8dntryh.pyomo.lp
Reading time = 0.02 seconds
x2159: 2675 rows, 1924 columns, 8833 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmpt0p8z_tl.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2675 rows, 1924 columns and 8833 nonzeros
Variable types: 1225 continuous, 699 integer (696 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [4e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.589344
Presolve removed 872 rows and 564 columns
Presolve time: 0.04s
Presolved: 1803 rows, 1360 columns, 6390 nonzeros
Variable types: 730 continuous, 630 integer (625 binary)
Root relaxation: objective 7.918261e-01, 1327 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.79183 0 150 0.58934 0.79183 34.4% - 0s
0 0 0.75416 0 131 0.58934 0.75416 28.0% - 0s
0 0 0.75374 0 141 0.58934 0.75374 27.9% - 0s
0 0 0.75241 0 139 0.58934 0.75241 27.7% - 0s
0 0 0.75239 0 134 0.58934 0.75239 27.7% - 0s
0 0 0.74547 0 143 0.58934 0.74547 26.5% - 0s
0 0 0.74431 0 145 0.58934 0.74431 26.3% - 0s
0 0 0.74424 0 159 0.58934 0.74424 26.3% - 0s
0 0 0.74404 0 161 0.58934 0.74404 26.2% - 0s
0 0 0.74404 0 143 0.58934 0.74404 26.2% - 0s
0 2 0.74404 0 138 0.58934 0.74404 26.2% - 0s
733 560 0.71854 14 149 0.58934 0.71854 21.9% 25.0 5s
1787 778 0.66645 29 151 0.58934 0.69231 17.5% 26.6 10s
H 2619 948 0.5893435 0.66745 13.3% 26.2 13s
3096 1190 0.62713 51 147 0.58934 0.66444 12.7% 27.2 15s
5223 2104 0.65380 34 144 0.58934 0.65681 11.4% 27.3 20s
H 7234 2804 0.5893435 0.65394 11.0% 27.1 24s
7345 2807 0.64826 38 134 0.58934 0.65367 10.9% 27.3 25s
8396 3090 0.60975 43 155 0.58934 0.65211 10.7% 28.1 30s
9844 3460 cutoff 41 0.58934 0.65036 10.4% 29.2 35s
11231 3809 0.63429 36 155 0.58934 0.64917 10.2% 30.2 40s
12727 4129 0.61625 38 147 0.58934 0.64716 9.81% 31.5 45s
14271 4439 0.62621 43 124 0.58934 0.64519 9.48% 32.5 50s
15833 4882 0.61968 46 143 0.58934 0.64347 9.18% 32.8 55s
17672 5356 0.60992 41 146 0.58934 0.64173 8.89% 33.0 60s
19184 5693 0.62783 45 138 0.58934 0.64053 8.69% 33.2 65s
20167 5865 cutoff 54 0.58934 0.63955 8.52% 33.5 70s
20750 6006 0.59463 53 133 0.58934 0.63886 8.40% 33.6 90s
21930 6259 0.59769 59 135 0.58934 0.63791 8.24% 34.1 95s
23605 6652 cutoff 40 0.58934 0.63644 7.99% 34.6 101s
24931 6883 0.62607 46 138 0.58934 0.63563 7.85% 35.1 106s
26347 7185 0.60532 47 155 0.58934 0.63444 7.65% 35.5 111s
27270 7345 0.61813 49 139 0.58934 0.63350 7.49% 36.0 115s
28517 7498 cutoff 68 0.58934 0.63265 7.35% 36.6 120s
29795 7707 0.61150 44 143 0.58934 0.63138 7.13% 37.3 125s
31190 7973 0.61191 50 149 0.58934 0.63021 6.93% 37.9 131s
32431 8275 0.60790 39 158 0.58934 0.62941 6.80% 38.0 136s
32895 8339 0.60330 45 143 0.58934 0.62911 6.75% 38.1 140s
34274 8634 cutoff 57 0.58934 0.62827 6.61% 38.5 146s
35524 8855 cutoff 41 0.58934 0.62748 6.47% 38.6 150s
37028 9135 infeasible 48 0.58934 0.62655 6.31% 38.9 156s
38374 9422 0.59188 67 131 0.58934 0.62607 6.23% 38.9 160s
39687 9693 cutoff 62 0.58934 0.62521 6.08% 39.0 165s
41611 10172 cutoff 49 0.58934 0.62450 5.97% 38.9 170s
42734 10352 0.62294 48 134 0.58934 0.62403 5.89% 39.1 175s
44316 10588 cutoff 45 0.58934 0.62340 5.78% 39.2 180s
45966 10944 0.61123 62 129 0.58934 0.62270 5.66% 39.2 186s
47242 11193 cutoff 45 0.58934 0.62221 5.58% 39.3 190s
49092 11631 cutoff 47 0.58934 0.62160 5.47% 39.1 195s
50781 11981 0.60444 63 139 0.58934 0.62104 5.38% 39.2 201s
52202 12324 0.59090 54 158 0.58934 0.62057 5.30% 39.1 205s
53788 12527 infeasible 38 0.58934 0.62004 5.21% 39.2 210s
55359 12759 0.60246 46 134 0.58934 0.61950 5.12% 39.2 216s
56573 12948 0.61736 65 143 0.58934 0.61907 5.04% 39.3 220s
57454 13123 0.59429 60 144 0.58934 0.61885 5.01% 39.2 225s
58974 13319 0.59365 52 154 0.58934 0.61843 4.93% 39.3 230s
60560 13603 0.60559 50 148 0.58934 0.61803 4.87% 39.2 236s
61933 13860 0.59145 54 135 0.58934 0.61768 4.81% 39.1 240s
63686 14088 0.59815 55 134 0.58934 0.61726 4.74% 39.1 246s
65026 14370 0.59540 87 111 0.58934 0.61695 4.69% 39.1 250s
66363 14573 0.60083 78 103 0.58934 0.61671 4.64% 39.0 255s
68491 15068 0.59913 53 151 0.58934 0.61628 4.57% 38.8 260s
70423 15489 0.60988 63 145 0.58934 0.61587 4.50% 38.6 265s
71936 15729 0.60234 74 148 0.58934 0.61558 4.45% 38.6 270s
74144 16317 0.59244 130 58 0.58934 0.61535 4.41% 38.3 276s
75996 16796 0.59724 86 101 0.58934 0.61498 4.35% 38.1 280s
77744 17137 cutoff 62 0.58934 0.61469 4.30% 38.1 285s
79158 17421 0.59665 95 98 0.58934 0.61447 4.26% 38.0 290s
80832 17741 0.59298 81 100 0.58934 0.61413 4.20% 37.9 296s
81604 17810 cutoff 80 0.58934 0.61400 4.18% 37.8 300s
83431 18236 0.59609 35 171 0.58934 0.61376 4.14% 37.7 305s
85455 18658 0.61094 49 163 0.58934 0.61345 4.09% 37.6 310s
87260 19045 cutoff 50 0.58934 0.61317 4.04% 37.5 315s
89176 19223 cutoff 103 0.58934 0.61285 3.99% 37.4 321s
90753 19455 0.60422 42 196 0.58934 0.61258 3.94% 37.4 326s
92325 19668 0.59525 48 148 0.58934 0.61232 3.90% 37.4 331s
94045 19925 0.59370 74 120 0.58934 0.61207 3.86% 37.4 336s
95476 20094 0.60480 88 107 0.58934 0.61184 3.82% 37.5 341s
96786 20260 0.60958 64 119 0.58934 0.61164 3.78% 37.5 345s
98367 20404 cutoff 106 0.58934 0.61143 3.75% 37.5 350s
99913 20558 cutoff 84 0.58934 0.61119 3.71% 37.6 355s
101458 20826 0.59924 84 120 0.58934 0.61096 3.67% 37.6 361s
102629 20905 0.60389 54 139 0.58934 0.61076 3.63% 37.7 365s
103498 21022 0.59590 85 126 0.58934 0.61067 3.62% 37.7 370s
104770 21117 0.59174 76 106 0.58934 0.61049 3.59% 37.8 376s
106086 21200 0.60382 55 133 0.58934 0.61027 3.55% 37.8 380s
107894 21474 cutoff 66 0.58934 0.61001 3.51% 37.8 386s
109130 21597 0.59837 56 148 0.58934 0.60982 3.47% 37.8 390s
110968 21811 0.60007 55 146 0.58934 0.60963 3.44% 37.8 396s
112363 22090 0.60165 51 162 0.58934 0.60943 3.41% 37.8 400s
113799 22167 infeasible 51 0.58934 0.60922 3.37% 37.8 406s
115114 22307 cutoff 68 0.58934 0.60905 3.34% 37.8 410s
116851 22450 0.59716 105 88 0.58934 0.60879 3.30% 37.9 416s
118169 22657 0.59690 100 104 0.58934 0.60861 3.27% 37.9 420s
120085 22986 0.60289 70 135 0.58934 0.60837 3.23% 37.9 426s
121476 23147 0.60108 58 145 0.58934 0.60822 3.20% 37.9 430s
123343 23389 0.59532 62 115 0.58934 0.60804 3.17% 37.9 436s
124716 23558 0.59856 47 163 0.58934 0.60787 3.14% 37.9 440s
126484 23708 0.59401 81 126 0.58934 0.60768 3.11% 37.9 446s
127751 23792 0.59860 63 153 0.58934 0.60755 3.09% 37.9 450s
128765 23923 0.59516 73 133 0.58934 0.60745 3.07% 37.9 455s
130447 24018 cutoff 106 0.58934 0.60727 3.04% 37.8 460s
131775 24052 0.59107 82 123 0.58934 0.60713 3.02% 37.8 465s
133496 24206 0.59008 103 95 0.58934 0.60694 2.99% 37.8 470s
134891 24299 infeasible 79 0.58934 0.60682 2.96% 37.9 475s
136732 24395 0.59919 88 123 0.58934 0.60664 2.94% 37.9 480s
138143 24517 infeasible 105 0.58934 0.60652 2.92% 37.8 485s
140101 24661 0.60494 69 144 0.58934 0.60632 2.88% 37.8 490s
141506 24862 0.60125 48 169 0.58934 0.60621 2.86% 37.8 495s
142771 24913 0.60203 44 187 0.58934 0.60608 2.84% 37.8 500s
144433 24984 0.59784 62 148 0.58934 0.60592 2.81% 37.9 506s
145698 25062 0.60075 70 126 0.58934 0.60578 2.79% 37.9 510s
147046 25176 cutoff 102 0.58934 0.60569 2.77% 38.0 515s
148316 25266 0.60135 66 128 0.58934 0.60555 2.75% 38.0 520s
149286 25283 0.58985 94 114 0.58934 0.60543 2.73% 38.0 525s
150588 25252 0.59549 65 141 0.58934 0.60532 2.71% 38.1 530s
152241 25236 0.59182 98 116 0.58934 0.60510 2.67% 38.2 536s
153545 25281 cutoff 70 0.58934 0.60497 2.65% 38.3 541s
154960 25342 cutoff 94 0.58934 0.60485 2.63% 38.3 546s
156334 25360 0.59048 96 94 0.58934 0.60471 2.61% 38.3 551s
157472 25367 0.58937 96 106 0.58934 0.60459 2.59% 38.3 555s
158879 25453 0.59830 57 155 0.58934 0.60447 2.57% 38.4 560s
160355 25520 cutoff 110 0.58934 0.60437 2.55% 38.4 565s
161741 25542 0.59425 65 162 0.58934 0.60423 2.53% 38.4 570s
163687 25740 infeasible 45 0.58934 0.60408 2.50% 38.4 576s
165062 25846 0.59653 111 85 0.58934 0.60398 2.48% 38.4 580s
166300 25823 cutoff 99 0.58934 0.60386 2.46% 38.5 585s
167146 25895 cutoff 65 0.58934 0.60379 2.45% 38.5 591s
168246 25895 0.59637 85 103 0.58934 0.60370 2.44% 38.5 596s
169622 25969 cutoff 98 0.58934 0.60359 2.42% 38.6 600s
Cutting planes:
Gomory: 195
Cover: 3
Implied bound: 98
Projected implied bound: 83
MIR: 45
Flow cover: 189
Inf proof: 534
Explored 169789 nodes (6549185 simplex iterations) in 600.03 seconds
Thread count was 4 (of 4 available processors)
Solution count 3: 0.589344 0.589344 0.589344
Time limit reached
Warning: max constraint violation (1.4453e-05) exceeds tolerance
Warning: max bound violation (7.4546e-06) exceeds tolerance
Best objective 5.893435185126e-01, best bound 6.035785085427e-01, gap 2.4154%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
*******************************************
Period: 59
Academic license - for non-commercial use only
Read LP format model from file /home/hdpp/or-gym/notebooks/tmpwfnjv9ay.pyomo.lp
Reading time = 0.02 seconds
x2196: 2721 rows, 1957 columns, 8986 nonzeros
Read MIP start from file /home/hdpp/or-gym/notebooks/tmp6jx7vgs2.gurobi.mst
Changed value of parameter MIPGap to 0.01
Prev: 0.0001 Min: 0.0 Max: 1e+100 Default: 0.0001
Changed value of parameter TimeLimit to 600.0
Prev: 1e+100 Min: 0.0 Max: 1e+100 Default: 1e+100
Optimize a model with 2721 rows, 1957 columns and 8986 nonzeros
Variable types: 1246 continuous, 711 integer (708 binary)
Coefficient statistics:
Matrix range [4e-03, 1e+04]
Objective range [3e-05, 2e-03]
Bounds range [1e+00, 1e+00]
RHS range [1e+00, 1e+04]
Loaded MIP start with objective 0.580707
Presolve removed 886 rows and 573 columns
Presolve time: 0.04s
Presolved: 1835 rows, 1384 columns, 6504 nonzeros
Variable types: 743 continuous, 641 integer (636 binary)
Root relaxation: objective 7.784258e-01, 1441 iterations, 0.04 seconds
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
0 0 0.77843 0 158 0.58071 0.77843 34.0% - 0s
0 0 0.74285 0 158 0.58071 0.74285 27.9% - 0s
0 0 0.74285 0 161 0.58071 0.74285 27.9% - 0s
0 0 0.74208 0 174 0.58071 0.74208 27.8% - 0s
0 0 0.74201 0 174 0.58071 0.74201 27.8% - 0s
0 0 0.74200 0 178 0.58071 0.74200 27.8% - 0s
0 0 0.74200 0 154 0.58071 0.74200 27.8% - 0s
0 2 0.74200 0 149 0.58071 0.74200 27.8% - 0s
792 630 0.71084 12 158 0.58071 0.71084 22.4% 24.6 5s
1900 848 cutoff 23 0.58071 0.68374 17.7% 30.4 10s
3097 1139 0.65932 26 144 0.58071 0.66950 15.3% 31.5 15s
4655 1750 0.64179 26 172 0.58071 0.65914 13.5% 31.8 20s
6417 2515 0.58976 44 138 0.58071 0.65185 12.3% 31.0 25s
7908 2803 infeasible 35 0.58071 0.64368 10.8% 32.6 30s
9290 3283 0.61108 34 126 0.58071 0.64006 10.2% 32.4 35s
10969 3746 cutoff 33 0.58071 0.63714 9.72% 32.8 40s
12391 4101 cutoff 50 0.58071 0.63479 9.31% 33.5 45s
13583 4301 0.61506 45 138 0.58071 0.63286 8.98% 34.0 50s
15449 4813 0.59113 45 145 0.58071 0.63047 8.57% 34.3 56s
16962 5135 0.58592 46 118 0.58071 0.62834 8.20% 34.5 60s
18616 5552 cutoff 42 0.58071 0.62612 7.82% 34.5 65s
20596 6164 0.59134 63 154 0.58071 0.62419 7.49% 33.9 91s
20605 6170 0.58450 33 223 0.58071 0.62419 7.49% 33.9 95s
20612 6175 0.61170 41 224 0.58071 0.62419 7.49% 33.8 100s
20618 6179 0.58930 42 239 0.58071 0.62419 7.49% 33.8 105s
20623 6182 0.61741 36 235 0.58071 0.62419 7.49% 33.8 111s
20628 6185 0.61014 34 247 0.58071 0.62419 7.49% 33.8 115s
20634 6189 0.62233 48 252 0.58071 0.62419 7.49% 33.8 120s
20638 6192 0.58244 72 275 0.58071 0.62419 7.49% 33.8 125s
20643 6195 0.61207 40 279 0.58071 0.62419 7.49% 33.8 130s
20646 6197 0.59561 38 273 0.58071 0.62419 7.49% 33.8 136s
20650 6200 0.59856 47 277 0.58071 0.62419 7.49% 33.8 140s
20653 6202 0.60579 40 273 0.58071 0.62419 7.49% 33.8 146s
20655 6203 0.61341 37 279 0.58071 0.62419 7.49% 33.8 150s
20659 6206 0.59989 42 288 0.58071 0.62419 7.49% 33.8 155s
20663 6209 0.59910 48 276 0.58071 0.62419 7.49% 33.8 160s
20668 6212 0.60328 53 295 0.58071 0.62419 7.49% 33.8 165s
20671 6214 0.59619 45 284 0.58071 0.62419 7.49% 33.8 170s
20676 6217 0.58913 74 293 0.58071 0.62419 7.49% 33.7 175s
20680 6220 0.61703 46 285 0.58071 0.62419 7.49% 33.7 180s
20684 6223 0.61321 38 284 0.58071 0.62419 7.49% 33.7 185s
20689 6226 0.60940 52 302 0.58071 0.62419 7.49% 33.7 190s
20693 6229 0.59259 32 294 0.58071 0.62419 7.49% 33.7 195s
20697 6231 0.62142 38 305 0.58071 0.62419 7.49% 33.7 200s
20702 6235 0.58363 55 308 0.58071 0.62419 7.49% 33.7 206s
20706 6237 0.61931 34 310 0.58071 0.62419 7.49% 33.7 210s
20709 6239 0.59343 46 301 0.58071 0.62419 7.49% 33.7 216s
20712 6241 0.61170 41 302 0.58071 0.62419 7.49% 33.7 220s
H20712 5927 0.5807068 0.62419 7.49% 33.7 222s
20715 5929 0.60777 35 309 0.58071 0.62419 7.49% 33.7 225s
20719 5932 0.60879 44 311 0.58071 0.62419 7.49% 33.7 230s
20723 5935 0.61741 36 305 0.58071 0.62419 7.49% 33.7 236s
20725 5936 0.60670 31 298 0.58071 0.62419 7.49% 33.7 240s
20728 5938 0.61014 34 302 0.58071 0.62419 7.49% 33.7 245s
20731 5940 0.60374 44 307 0.58071 0.62419 7.49% 33.7 251s
20735 5943 0.60267 69 307 0.58071 0.62419 7.49% 33.6 255s
20739 5945 0.61938 39 292 0.58071 0.62419 7.49% 33.6 260s
20743 5948 0.61207 40 313 0.58071 0.62419 7.49% 33.6 266s
20747 5951 0.60380 40 306 0.58071 0.62419 7.49% 33.6 271s
20751 5953 0.59176 57 301 0.58071 0.62419 7.49% 33.6 275s
20755 5956 0.61341 37 306 0.58071 0.62419 7.49% 33.6 280s
20759 5959 0.59989 42 306 0.58071 0.62419 7.49% 33.6 285s
20763 5961 0.59910 48 301 0.58071 0.62419 7.49% 33.6 290s
20768 5965 0.60328 53 301 0.58071 0.62419 7.49% 33.6 296s
20771 5967 0.59619 45 313 0.58071 0.62419 7.49% 33.6 300s
20776 5970 0.58913 74 316 0.58071 0.62419 7.49% 33.6 305s
20780 5973 0.61703 46 309 0.58071 0.62419 7.49% 33.6 311s
20784 5975 0.61321 38 312 0.58071 0.62419 7.49% 33.6 316s
H20785 5674 0.5807068 0.62419 7.49% 33.6 320s
20789 5677 0.60940 52 311 0.58071 0.62419 7.49% 33.6 325s
20792 5679 0.58627 61 316 0.58071 0.62419 7.49% 33.6 330s
20796 5681 0.59134 63 307 0.58071 0.62419 7.49% 33.5 336s
20799 5683 0.58148 62 308 0.58071 0.62419 7.49% 33.5 340s
20802 5685 0.58363 55 310 0.58071 0.62419 7.49% 33.5 347s
20804 5687 0.60521 53 309 0.58071 0.62419 7.49% 33.5 350s
20805 5690 0.62419 21 278 0.58071 0.62419 7.49% 37.1 359s
20807 5692 infeasible 22 0.58071 0.62419 7.49% 37.2 367s
20811 5694 0.62419 23 310 0.58071 0.62419 7.49% 37.3 370s
20833 5703 0.62419 25 303 0.58071 0.62419 7.49% 38.0 376s
H20874 5441 0.5807068 0.62419 7.49% 38.4 379s
20876 5438 infeasible 36 0.58071 0.62419 7.49% 38.4 380s
21066 5468 infeasible 32 0.58071 0.62419 7.49% 39.2 386s
21181 5482 0.59347 56 217 0.58071 0.62419 7.49% 39.7 390s
21388 5517 0.61143 51 209 0.58071 0.62419 7.49% 40.7 395s
21620 5588 0.62100 33 250 0.58071 0.62419 7.49% 41.5 400s
21715 5593 0.62419 26 261 0.58071 0.62419 7.49% 42.8 405s
21870 5640 0.62419 32 288 0.58071 0.62419 7.49% 43.7 410s
21999 5657 0.61523 37 262 0.58071 0.62419 7.49% 44.7 416s
22091 5660 0.62419 28 277 0.58071 0.62419 7.49% 45.7 420s
22240 5677 0.62419 34 253 0.58071 0.62419 7.49% 47.3 426s
22378 5712 0.59534 44 249 0.58071 0.62419 7.49% 48.3 431s
22514 5732 0.62192 31 246 0.58071 0.62419 7.49% 49.3 435s
22664 5747 0.59054 42 230 0.58071 0.62419 7.49% 50.8 441s
22831 5788 0.62419 31 276 0.58071 0.62419 7.49% 51.7 445s
23019 5815 0.59820 31 253 0.58071 0.62419 7.49% 52.7 451s
23217 5881 0.62419 31 278 0.58071 0.62419 7.49% 53.6 456s
23447 5892 cutoff 48 0.58071 0.62419 7.49% 54.9 462s
23536 5888 cutoff 43 0.58071 0.62419 7.49% 55.7 465s
23718 5920 0.62419 33 261 0.58071 0.62419 7.49% 57.2 471s
23854 5914 0.62156 32 244 0.58071 0.62419 7.49% 57.9 475s
24110 5964 cutoff 46 0.58071 0.62419 7.49% 59.5 482s
24170 5955 0.61345 34 228 0.58071 0.62419 7.49% 59.8 486s
24302 5975 0.62419 30 260 0.58071 0.62419 7.49% 60.7 490s
24486 5972 cutoff 35 0.58071 0.62419 7.49% 62.3 498s
24587 5960 0.59614 38 196 0.58071 0.62419 7.49% 63.3 502s
24780 5975 cutoff 50 0.58071 0.62419 7.49% 64.1 507s
24911 6003 0.60561 43 220 0.58071 0.62419 7.49% 65.1 512s
25071 6021 cutoff 38 0.58071 0.62419 7.49% 66.0 517s
25285 6036 0.58875 40 206 0.58071 0.62419 7.49% 67.1 523s
25493 6052 0.58807 40 252 0.58071 0.62419 7.49% 68.1 528s
25648 6063 0.58607 42 212 0.58071 0.62419 7.49% 69.1 534s
25769 6072 0.59789 37 244 0.58071 0.62419 7.49% 70.4 544s
25931 6073 cutoff 38 0.58071 0.62419 7.49% 71.3 550s
25985 6074 0.62419 33 249 0.58071 0.62419 7.49% 71.5 556s
26213 6108 cutoff 50 0.58071 0.62419 7.49% 72.6 561s
26405 6114 0.61763 38 228 0.58071 0.62419 7.49% 74.0 567s
26622 6082 0.58248 52 194 0.58071 0.62419 7.49% 75.4 574s
26917 6095 0.59316 53 193 0.58071 0.62419 7.49% 76.6 581s
27201 6122 0.59151 34 236 0.58071 0.62419 7.49% 77.8 588s
27518 6109 0.58497 51 205 0.58071 0.62419 7.49% 79.1 595s
27818 6108 0.60053 33 223 0.58071 0.62419 7.49% 80.3 600s
Cutting planes:
Gomory: 203
Cover: 6
Implied bound: 49
Projected implied bound: 31
Clique: 1
MIR: 211
StrongCG: 5
Flow cover: 668
Inf proof: 46
Zero half: 2
Explored 27949 nodes (2272030 simplex iterations) in 600.01 seconds
Thread count was 4 (of 4 available processors)
Solution count 4: 0.580707 0.580707 0.580707 0.580707
Time limit reached
Best objective 5.807068295513e-01, best bound 6.241908306910e-01, gap 7.4881%
WARNING: Loading a SolverResults object with an 'aborted' status, but
containing a solution
In [23]:
#extract pickle
import pickle
file_env_1 = open('NV_envs_LS_part1.obj','rb')
NV_envs_1 = pickle.load(file_env_1)
file_env_2 = open('NV_envs_LS_part2.obj','rb')
NV_envs_2 = pickle.load(file_env_2)
file_env_3 = open('NV_envs_LS_part3.obj','rb')
NV_envs_3 = pickle.load(file_env_3)
file_env_4 = open('NV_envs_LS_part4.obj','rb')
NV_envs_4 = pickle.load(file_env_4)
NV_envs = {}
NV_envs.update(NV_envs_1)
NV_envs.update(NV_envs_2)
NV_envs.update(NV_envs_3)
NV_envs.update(NV_envs_4)
env1_dfo = NV_envs['DFO']
env1_mip = NV_envs['MIP']
env1_dfo_online = NV_envs['oDFO']
env1_mip_online = NV_envs['oMIP']
env1_mip_pi = NV_envs['Oracle']
#plot results for backlog scenario
#profit
fig = plt.figure(figsize=[7,5])
plt.plot(np.cumsum(env1_dfo.P),label='DFO')
plt.plot(np.cumsum(env1_mip.P),label='MIP')
plt.plot(np.cumsum(env1_dfo_online.P),label='oDFO')
plt.plot(np.cumsum(env1_mip_online.P),label='oMIP')
plt.plot(np.cumsum(env1_mip_pi.P),label='Oracle')
plt.xlabel('Day')
plt.ylabel('Cumulative Profit, $')
plt.legend(bbox_to_anchor=(1.05, 1.0), loc='upper left')
plt.tight_layout()
plt.savefig('NewsVendor_LostSales.png')
plt.show()
#base stock levels
N = env1_dfo.num_periods
M = env1_dfo.num_stages
def inventory_position(I,T,B,stage):
return np.sum(I[:-1,:stage+1] + T[:-1,:stage+1] - np.row_stack((np.zeros(stage+1),B[:-1,:i+1])),axis=1)
fig, axs = plt.subplots(3,1,figsize=[7,13])
axs = axs.ravel()
for i in range(M-1):
axs[i].set_title('Echelon %i' %i)
axs[i].set_xlabel('Day')
#plot actual inventory positions
axs[i].plot(inventory_position(I = env1_dfo.I, T = env1_dfo.T, B = env1_dfo.B, stage = i),label='DFO')
axs[i].plot(inventory_position(I = env1_mip.I, T = env1_mip.T, B = env1_mip.B, stage = i),label='MIP')
axs[i].plot(inventory_position(I = env1_dfo_online.I, T = env1_dfo_online.T, B = env1_dfo_online.B, stage = i),label='oDFO')
axs[i].plot(inventory_position(I = env1_mip_online.I, T = env1_mip_online.T, B = env1_mip_online.B, stage = i),label='oMIP')
axs[i].plot(inventory_position(I = env1_mip_pi.I, T = env1_mip_pi.T, B = env1_mip_pi.B, stage = i),label='Oracle')
axs[i].legend(bbox_to_anchor=(1.05, 1.0), loc='upper left')
plt.tight_layout()
plt.savefig('NewsVendor_LostSales_inventory.png')
plt.show()
NV_envs['oDFO zopt']=np.array([list(NV_envs['oDFO zopt'][i]) for i in range(len(NV_envs['oDFO zopt']))])
NV_envs['oMIP zopt']=np.array([list(NV_envs['oMIP zopt'][i]) for i in range(len(NV_envs['oMIP zopt']))])
fig, axs = plt.subplots(3,1,figsize=[7,13])
axs = axs.ravel()
for i in range(M-1):
axs[i].set_title('Echelon %i' %i)
axs[i].set_xlabel('Day')
#plot base stock levels
axs[i].plot(NV_envs['DFO zopt'][i]*np.ones(N),label='DFO')
axs[i].plot(NV_envs['MIP zopt'][i]*np.ones(N),label='MIP')
axs[i].plot(NV_envs['oDFO zopt'][:,i],label='oDFO')
axs[i].plot(NV_envs['oMIP zopt'][:,i],label='oMIP')
axs[i].legend(bbox_to_anchor=(1.05, 1.0), loc='upper left')
plt.tight_layout()
plt.savefig('NewsVendor_LostSales_zopt.png')
plt.show()
